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0000000000000000000000000000000000000000..1a735f0e5fc31ab153ce9c7f4626300757964a49 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/METADATA @@ -0,0 +1,223 @@ +Metadata-Version: 2.4 +Name: wandb +Version: 0.22.2 +Summary: A CLI and library for interacting with the Weights & Biases API. +Project-URL: Source, https://github.com/wandb/wandb +Project-URL: Bug Reports, https://github.com/wandb/wandb/issues +Project-URL: Documentation, https://docs.wandb.ai/ +Author-email: Weights & Biases +License: MIT License + + Copyright (c) 2021 Weights and Biases, Inc. + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in all + copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + SOFTWARE. +License-File: LICENSE +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: Intended Audience :: Science/Research +Classifier: License :: OSI Approved :: MIT License +Classifier: Natural Language :: English +Classifier: Programming Language :: Go +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3 :: Only +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence +Classifier: Topic :: Software Development :: Libraries :: Python Modules +Classifier: Topic :: System :: Logging +Classifier: Topic :: System :: Monitoring +Requires-Python: >=3.8 +Requires-Dist: click>=8.0.1 +Requires-Dist: eval-type-backport; python_version < '3.10' +Requires-Dist: gitpython!=3.1.29,>=1.0.0 +Requires-Dist: packaging +Requires-Dist: platformdirs +Requires-Dist: protobuf!=4.21.0,!=5.28.0,<7,>=3.12.0; python_version < '3.9' and sys_platform == 'linux' +Requires-Dist: protobuf!=4.21.0,!=5.28.0,<7,>=3.15.0; python_version == '3.9' and sys_platform == 'linux' +Requires-Dist: protobuf!=4.21.0,!=5.28.0,<7,>=3.19.0; python_version > '3.9' and sys_platform == 'linux' +Requires-Dist: protobuf!=4.21.0,!=5.28.0,<7,>=3.19.0; sys_platform != 'linux' +Requires-Dist: pydantic<3 +Requires-Dist: pyyaml +Requires-Dist: requests<3,>=2.0.0 +Requires-Dist: sentry-sdk>=2.0.0 +Requires-Dist: typing-extensions<5,>=4.8 +Provides-Extra: aws +Requires-Dist: boto3; extra == 'aws' +Requires-Dist: botocore>=1.5.76; extra == 'aws' +Provides-Extra: azure +Requires-Dist: azure-identity; extra == 'azure' +Requires-Dist: azure-storage-blob; extra == 'azure' +Provides-Extra: gcp +Requires-Dist: google-cloud-storage; extra == 'gcp' +Provides-Extra: importers +Requires-Dist: filelock; extra == 'importers' +Requires-Dist: mlflow; extra == 'importers' +Requires-Dist: polars<=1.2.1; extra == 'importers' +Requires-Dist: rich; extra == 'importers' +Requires-Dist: tenacity; extra == 'importers' +Provides-Extra: kubeflow +Requires-Dist: google-cloud-storage; extra == 'kubeflow' +Requires-Dist: kubernetes; extra == 'kubeflow' +Requires-Dist: minio; extra == 'kubeflow' +Requires-Dist: sh; extra == 'kubeflow' +Provides-Extra: launch +Requires-Dist: awscli; extra == 'launch' +Requires-Dist: azure-containerregistry; extra == 'launch' +Requires-Dist: azure-identity; extra == 'launch' +Requires-Dist: azure-storage-blob; extra == 'launch' +Requires-Dist: boto3; extra == 'launch' +Requires-Dist: botocore>=1.5.76; extra == 'launch' +Requires-Dist: chardet; extra == 'launch' +Requires-Dist: google-auth; extra == 'launch' +Requires-Dist: google-cloud-aiplatform; extra == 'launch' +Requires-Dist: google-cloud-artifact-registry; extra == 'launch' +Requires-Dist: google-cloud-compute; extra == 'launch' +Requires-Dist: google-cloud-storage; extra == 'launch' +Requires-Dist: iso8601; extra == 'launch' +Requires-Dist: jsonschema; extra == 'launch' +Requires-Dist: kubernetes; extra == 'launch' +Requires-Dist: kubernetes-asyncio; extra == 'launch' +Requires-Dist: nbconvert; extra == 'launch' +Requires-Dist: nbformat; extra == 'launch' +Requires-Dist: optuna; extra == 'launch' +Requires-Dist: pydantic; extra == 'launch' +Requires-Dist: pyyaml>=6.0.0; extra == 'launch' +Requires-Dist: tomli; extra == 'launch' +Requires-Dist: tornado>=6.5.0; (python_version >= '3.9') and extra == 'launch' +Requires-Dist: typing-extensions; extra == 'launch' +Provides-Extra: media +Requires-Dist: bokeh; extra == 'media' +Requires-Dist: imageio>=2.28.1; extra == 'media' +Requires-Dist: moviepy>=1.0.0; extra == 'media' +Requires-Dist: numpy; extra == 'media' +Requires-Dist: pillow; extra == 'media' +Requires-Dist: plotly>=5.18.0; extra == 'media' +Requires-Dist: rdkit; extra == 'media' +Requires-Dist: soundfile; extra == 'media' +Provides-Extra: models +Requires-Dist: cloudpickle; extra == 'models' +Provides-Extra: perf +Requires-Dist: orjson; extra == 'perf' +Provides-Extra: sweeps +Requires-Dist: sweeps>=0.2.0; extra == 'sweeps' +Provides-Extra: workspaces +Requires-Dist: wandb-workspaces; extra == 'workspaces' +Description-Content-Type: text/markdown + +
+

+
+ +# Weights and Biases [![PyPI](https://img.shields.io/pypi/v/wandb)](https://pypi.python.org/pypi/wandb) [![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/wandb)](https://anaconda.org/conda-forge/wandb) [![CircleCI](https://img.shields.io/circleci/build/github/wandb/wandb/main)](https://circleci.com/gh/wandb/wandb) [![Codecov](https://img.shields.io/codecov/c/gh/wandb/wandb)](https://codecov.io/gh/wandb/wandb) + +Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production machine learning models. Get started with W&B today, [sign up for an account!](https://wandb.com?utm_source=github&utm_medium=code&utm_campaign=wandb&utm_content=readme) + + + +See the [W&B Developer Guide](https://docs.wandb.ai/?utm_source=github&utm_medium=code&utm_campaign=wandb&utm_content=documentation) and [API Reference Guide](https://docs.wandb.ai/ref?utm_source=github&utm_medium=code&utm_campaign=wandb&utm_content=documentation) for a full technical description of the W&B platform. + +  + +# Quickstart + +Get started with W&B in four steps: + +1. First, sign up for a [W&B account](https://wandb.ai/login?utm_source=github&utm_medium=code&utm_campaign=wandb&utm_content=quickstart). + +2. Second, install the W&B SDK with [pip](https://pip.pypa.io/en/stable/). Navigate to your terminal and type the following command: + +```shell +pip install wandb +``` + +3. Third, log into W&B: + +```python +wandb.login() +``` + +4. Use the example code snippet below as a template to integrate W&B to your Python script: + +```python +import wandb + +# Start a W&B Run with wandb.init +run = wandb.init(project="my_first_project") + +# Save model inputs and hyperparameters in a wandb.config object +config = run.config +config.learning_rate = 0.01 + +# Model training code here ... + +# Log metrics over time to visualize performance with wandb.log +for i in range(10): + run.log({"loss": ...}) + +# Mark the run as finished, and finish uploading all data +run.finish() +``` + +For example, if the preceding code was stored in a script called train.py: + +```shell +python train.py +``` + +You will see a URL in your terminal logs when your script starts and finishes. Data is staged locally in a directory named _wandb_ relative to your script. Navigate to the W&B App to view a dashboard of your first W&B Experiment. Use the W&B App to compare multiple experiments in a unified place, dive into the results of a single run, and much more! + +  + +# Integrations + +Use your favorite framework with W&B. W&B integrations make it fast and easy to set up experiment tracking and data versioning inside existing projects. For more information on how to integrate W&B with the framework of your choice, see [W&B Integrations](https://docs.wandb.ai/guides/integrations) in the W&B Developer Guide. + +  + +# Python Version Support + +We are committed to supporting our minimum required Python version for *at least* six months after its official end-of-life (EOL) date, as defined by the Python Software Foundation. You can find a list of Python EOL dates [here](https://devguide.python.org/versions/). + +When we discontinue support for a Python version, we will increment the library’s minor version number to reflect this change. + +  + +# Contribution guidelines +Weights & Biases ❤️ open source, and we welcome contributions from the community! See the [Contribution guide](https://github.com/wandb/wandb/blob/main/CONTRIBUTING.md) for more information on the development workflow and the internals of the wandb library. For wandb bugs and feature requests, visit [GitHub Issues](https://github.com/wandb/wandb/issues) or contact support@wandb.com. + +  + +# Academic Researchers +Reach out to W&B Support at support@wandb.com to get a [free academic license](https://www.wandb.com/academic) for you and your research group. + +  + +# W&B Community + +Be a part of the growing W&B Community and interact with the W&B team in our [Discord](https://wandb.me/discord). Stay connected with the latest ML updates and tutorials with [W&B Fully Connected](https://wandb.ai/fully-connected). + +  + +# License + +[MIT License](https://github.com/wandb/wandb/blob/main/LICENSE) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..3113852d5fc50bfc9c22291589b0f4cfadf3c8ac --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/RECORD @@ -0,0 +1,1845 @@ +../../../bin/wandb,sha256=B3-WYuoXaazcbFGurZm7x7f5LN1yaZoZcBrpZL56qOI,232 +../../../bin/wb,sha256=B3-WYuoXaazcbFGurZm7x7f5LN1yaZoZcBrpZL56qOI,232 +package_readme.md,sha256=U9047nyMDICgctm1HLm4HfXwFnFKsEn2m77hsYPUZ1I,4298 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+wandb/wandb_run.py,sha256=RRjZweHEMpfTyQghzOrSZdmViIItT9wLJYzcZ4nlvjk,128 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/REQUESTED b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/REQUESTED new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/WHEEL b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..3bb071302aa652134e6a1a3f3fbe6beaa2a1690f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/WHEEL @@ -0,0 +1,6 @@ +Wheel-Version: 1.0 +Generator: hatchling 1.27.0 +Root-Is-Purelib: true +Tag: py3-none-manylinux_2_17_x86_64 +Tag: py3-none-manylinux2014_x86_64 + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/entry_points.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/entry_points.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd9806f6b8b58b8ad6081627328a817c45942064 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/entry_points.txt @@ -0,0 +1,3 @@ +[console_scripts] +wandb = wandb.cli.cli:cli +wb = wandb.cli.cli:cli diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/licenses/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..1f4e645404cd4ae9f131e45091c1cf9db97af225 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb-0.22.2.dist-info/licenses/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2021 Weights and Biases, Inc. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_asy_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_asy_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..1f831cdb78f95ce28078959241be7bff86582cbe --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_asy_builtins.py @@ -0,0 +1,1645 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._asy_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + This file contains the asy-function names and asy-variable names of + Asymptote. + + Do not edit the ASYFUNCNAME and ASYVARNAME sets by hand. + TODO: perl/python script in Asymptote SVN similar to asy-list.pl but only + for function and variable names. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +ASYFUNCNAME = set(( + 'AND', + 'Arc', + 'ArcArrow', + 'ArcArrows', + 'Arrow', + 'Arrows', + 'Automatic', + 'AvantGarde', + 'BBox', + 'BWRainbow', + 'BWRainbow2', + 'Bar', + 'Bars', + 'BeginArcArrow', + 'BeginArrow', + 'BeginBar', + 'BeginDotMargin', + 'BeginMargin', + 'BeginPenMargin', + 'Blank', + 'Bookman', + 'Bottom', + 'BottomTop', + 'Bounds', + 'Break', + 'Broken', + 'BrokenLog', + 'Ceil', + 'Circle', + 'CircleBarIntervalMarker', + 'Cos', + 'Courier', + 'CrossIntervalMarker', + 'DefaultFormat', + 'DefaultLogFormat', + 'Degrees', + 'Dir', + 'DotMargin', + 'DotMargins', + 'Dotted', + 'Draw', + 'Drawline', + 'Embed', + 'EndArcArrow', + 'EndArrow', + 'EndBar', + 'EndDotMargin', + 'EndMargin', + 'EndPenMargin', + 'Fill', + 'FillDraw', + 'Floor', + 'Format', + 'Full', + 'Gaussian', + 'Gaussrand', + 'Gaussrandpair', + 'Gradient', + 'Grayscale', + 'Helvetica', + 'Hermite', + 'HookHead', + 'InOutTicks', + 'InTicks', + 'J', + 'Label', + 'Landscape', + 'Left', + 'LeftRight', + 'LeftTicks', + 'Legend', + 'Linear', + 'Link', + 'Log', + 'LogFormat', + 'Margin', + 'Margins', + 'Mark', + 'MidArcArrow', + 'MidArrow', + 'NOT', + 'NewCenturySchoolBook', + 'NoBox', + 'NoMargin', + 'NoModifier', + 'NoTicks', + 'NoTicks3', + 'NoZero', + 'NoZeroFormat', + 'None', + 'OR', + 'OmitFormat', + 'OmitTick', + 'OutTicks', + 'Ox', + 'Oy', + 'Palatino', + 'PaletteTicks', + 'Pen', + 'PenMargin', + 'PenMargins', + 'Pentype', + 'Portrait', + 'RadialShade', + 'Rainbow', + 'Range', + 'Relative', + 'Right', + 'RightTicks', + 'Rotate', + 'Round', + 'SQR', + 'Scale', + 'ScaleX', + 'ScaleY', + 'ScaleZ', + 'Seascape', + 'Shift', + 'Sin', + 'Slant', + 'Spline', + 'StickIntervalMarker', + 'Straight', + 'Symbol', + 'Tan', + 'TeXify', + 'Ticks', + 'Ticks3', + 'TildeIntervalMarker', + 'TimesRoman', + 'Top', + 'TrueMargin', + 'UnFill', + 'UpsideDown', + 'Wheel', + 'X', + 'XEquals', + 'XOR', + 'XY', + 'XYEquals', + 'XYZero', + 'XYgrid', + 'XZEquals', + 'XZZero', + 'XZero', + 'XZgrid', + 'Y', + 'YEquals', + 'YXgrid', + 'YZ', + 'YZEquals', + 'YZZero', + 'YZero', + 'YZgrid', + 'Z', + 'ZX', + 'ZXgrid', + 'ZYgrid', + 'ZapfChancery', + 'ZapfDingbats', + '_cputime', + '_draw', + '_eval', + '_image', + '_labelpath', + '_projection', + '_strokepath', + '_texpath', + 'aCos', + 'aSin', + 'aTan', + 'abort', + 'abs', + 'accel', + 'acos', + 'acosh', + 'acot', + 'acsc', + 'add', + 'addArrow', + 'addMargins', + 'addSaveFunction', + 'addnode', + 'addnodes', + 'addpenarc', + 'addpenline', + 'addseg', + 'adjust', + 'alias', + 'align', + 'all', + 'altitude', + 'angabscissa', + 'angle', + 'angpoint', + 'animate', + 'annotate', + 'anticomplementary', + 'antipedal', + 'apply', + 'approximate', + 'arc', + 'arcarrowsize', + 'arccircle', + 'arcdir', + 'arcfromcenter', + 'arcfromfocus', + 'arclength', + 'arcnodesnumber', + 'arcpoint', + 'arcsubtended', + 'arcsubtendedcenter', + 'arctime', + 'arctopath', + 'array', + 'arrow', + 'arrow2', + 'arrowbase', + 'arrowbasepoints', + 'arrowsize', + 'asec', + 'asin', + 'asinh', + 'ask', + 'assert', + 'asy', + 'asycode', + 'asydir', + 'asyfigure', + 'asyfilecode', + 'asyinclude', + 'asywrite', + 'atan', + 'atan2', + 'atanh', + 'atbreakpoint', + 'atexit', + 'atime', + 'attach', + 'attract', + 'atupdate', + 'autoformat', + 'autoscale', + 'autoscale3', + 'axes', + 'axes3', + 'axialshade', + 'axis', + 'axiscoverage', + 'azimuth', + 'babel', + 'background', + 'bangles', + 'bar', + 'barmarksize', + 'barsize', + 'basealign', + 'baseline', + 'bbox', + 'beep', + 'begin', + 'beginclip', + 'begingroup', + 'beginpoint', + 'between', + 'bevel', + 'bezier', + 'bezierP', + 'bezierPP', + 'bezierPPP', + 'bezulate', + 'bibliography', + 'bibliographystyle', + 'binarytree', + 'binarytreeNode', + 'binomial', + 'binput', + 'bins', + 'bisector', + 'bisectorpoint', + 'blend', + 'boutput', + 'box', + 'bqe', + 'breakpoint', + 'breakpoints', + 'brick', + 'buildRestoreDefaults', + 'buildRestoreThunk', + 'buildcycle', + 'bulletcolor', + 'canonical', + 'canonicalcartesiansystem', + 'cartesiansystem', + 'case1', + 'case2', + 'case3', + 'cbrt', + 'cd', + 'ceil', + 'center', + 'centerToFocus', + 'centroid', + 'cevian', + 'change2', + 'changecoordsys', + 'checkSegment', + 'checkconditionlength', + 'checker', + 'checklengths', + 'checkposition', + 'checktriangle', + 'choose', + 'circle', + 'circlebarframe', + 'circlemarkradius', + 'circlenodesnumber', + 'circumcenter', + 'circumcircle', + 'clamped', + 'clear', + 'clip', + 'clipdraw', + 'close', + 'cmyk', + 'code', + 'colatitude', + 'collect', + 'collinear', + 'color', + 'colorless', + 'colors', + 'colorspace', + 'comma', + 'compassmark', + 'complement', + 'complementary', + 'concat', + 'concurrent', + 'cone', + 'conic', + 'conicnodesnumber', + 'conictype', + 'conj', + 'connect', + 'containmentTree', + 'contains', + 'contour', + 'contour3', + 'controlSpecifier', + 'convert', + 'coordinates', + 'coordsys', + 'copy', + 'cos', + 'cosh', + 'cot', + 'countIntersections', + 'cputime', + 'crop', + 'cropcode', + 'cross', + 'crossframe', + 'crosshatch', + 'crossmarksize', + 'csc', + 'cubicroots', + 'curabscissa', + 'curlSpecifier', + 'curpoint', + 'currentarrow', + 'currentexitfunction', + 'currentmomarrow', + 'currentpolarconicroutine', + 'curve', + 'cut', + 'cutafter', + 'cutbefore', + 'cyclic', + 'cylinder', + 'debugger', + 'deconstruct', + 'defaultdir', + 'defaultformat', + 'defaultpen', + 'defined', + 'degenerate', + 'degrees', + 'delete', + 'deletepreamble', + 'determinant', + 'diagonal', + 'diamond', + 'diffdiv', + 'dir', + 'dirSpecifier', + 'dirtime', + 'display', + 'distance', + 'divisors', + 'do_overpaint', + 'dot', + 'dotframe', + 'dotsize', + 'downcase', + 'draw', + 'drawAll', + 'drawDoubleLine', + 'drawFermion', + 'drawGhost', + 'drawGluon', + 'drawMomArrow', + 'drawPhoton', + 'drawScalar', + 'drawVertex', + 'drawVertexBox', + 'drawVertexBoxO', + 'drawVertexBoxX', + 'drawVertexO', + 'drawVertexOX', + 'drawVertexTriangle', + 'drawVertexTriangleO', + 'drawVertexX', + 'drawarrow', + 'drawarrow2', + 'drawline', + 'drawtick', + 'duplicate', + 'elle', + 'ellipse', + 'ellipsenodesnumber', + 'embed', + 'embed3', + 'empty', + 'enclose', + 'end', + 'endScript', + 'endclip', + 'endgroup', + 'endl', + 'endpoint', + 'endpoints', + 'eof', + 'eol', + 'equation', + 'equations', + 'erase', + 'erasestep', + 'erf', + 'erfc', + 'error', + 'errorbar', + 'errorbars', + 'eval', + 'excenter', + 'excircle', + 'exit', + 'exitXasyMode', + 'exitfunction', + 'exp', + 'expfactors', + 'expi', + 'expm1', + 'exradius', + 'extend', + 'extension', + 'extouch', + 'fabs', + 'factorial', + 'fermat', + 'fft', + 'fhorner', + 'figure', + 'file', + 'filecode', + 'fill', + 'filldraw', + 'filloutside', + 'fillrule', + 'filltype', + 'find', + 'finite', + 'finiteDifferenceJacobian', + 'firstcut', + 'firstframe', + 'fit', + 'fit2', + 'fixedscaling', + 'floor', + 'flush', + 'fmdefaults', + 'fmod', + 'focusToCenter', + 'font', + 'fontcommand', + 'fontsize', + 'foot', + 'format', + 'frac', + 'frequency', + 'fromCenter', + 'fromFocus', + 'fspline', + 'functionshade', + 'gamma', + 'generate_random_backtrace', + 'generateticks', + 'gergonne', + 'getc', + 'getint', + 'getpair', + 'getreal', + 'getstring', + 'gettriple', + 'gluon', + 'gouraudshade', + 'graph', + 'graphic', + 'gray', + 'grestore', + 'grid', + 'grid3', + 'gsave', + 'halfbox', + 'hatch', + 'hdiffdiv', + 'hermite', + 'hex', + 'histogram', + 'history', + 'hline', + 'hprojection', + 'hsv', + 'hyperbola', + 'hyperbolanodesnumber', + 'hyperlink', + 'hypot', + 'identity', + 'image', + 'incenter', + 'incentral', + 'incircle', + 'increasing', + 'incrementposition', + 'indexedTransform', + 'indexedfigure', + 'initXasyMode', + 'initdefaults', + 'input', + 'inradius', + 'insert', + 'inside', + 'integrate', + 'interactive', + 'interior', + 'interp', + 'interpolate', + 'intersect', + 'intersection', + 'intersectionpoint', + 'intersectionpoints', + 'intersections', + 'intouch', + 'inverse', + 'inversion', + 'invisible', + 'is3D', + 'isDuplicate', + 'isogonal', + 'isogonalconjugate', + 'isotomic', + 'isotomicconjugate', + 'isparabola', + 'italic', + 'item', + 'key', + 'kurtosis', + 'kurtosisexcess', + 'label', + 'labelaxis', + 'labelmargin', + 'labelpath', + 'labels', + 'labeltick', + 'labelx', + 'labelx3', + 'labely', + 'labely3', + 'labelz', + 'labelz3', + 'lastcut', + 'latex', + 'latitude', + 'latticeshade', + 'layer', + 'layout', + 'ldexp', + 'leastsquares', + 'legend', + 'legenditem', + 'length', + 'lift', + 'light', + 'limits', + 'line', + 'linear', + 'linecap', + 'lineinversion', + 'linejoin', + 'linemargin', + 'lineskip', + 'linetype', + 'linewidth', + 'link', + 'list', + 'lm_enorm', + 'lm_evaluate_default', + 'lm_lmdif', + 'lm_lmpar', + 'lm_minimize', + 'lm_print_default', + 'lm_print_quiet', + 'lm_qrfac', + 'lm_qrsolv', + 'locale', + 'locate', + 'locatefile', + 'location', + 'log', + 'log10', + 'log1p', + 'logaxiscoverage', + 'longitude', + 'lookup', + 'magnetize', + 'makeNode', + 'makedraw', + 'makepen', + 'map', + 'margin', + 'markangle', + 'markangleradius', + 'markanglespace', + 'markarc', + 'marker', + 'markinterval', + 'marknodes', + 'markrightangle', + 'markuniform', + 'mass', + 'masscenter', + 'massformat', + 'math', + 'max', + 'max3', + 'maxbezier', + 'maxbound', + 'maxcoords', + 'maxlength', + 'maxratio', + 'maxtimes', + 'mean', + 'medial', + 'median', + 'midpoint', + 'min', + 'min3', + 'minbezier', + 'minbound', + 'minipage', + 'minratio', + 'mintimes', + 'miterlimit', + 'momArrowPath', + 'momarrowsize', + 'monotonic', + 'multifigure', + 'nativeformat', + 'natural', + 'needshipout', + 'newl', + 'newpage', + 'newslide', + 'newton', + 'newtree', + 'nextframe', + 'nextnormal', + 'nextpage', + 'nib', + 'nodabscissa', + 'none', + 'norm', + 'normalvideo', + 'notaknot', + 'nowarn', + 'numberpage', + 'nurb', + 'object', + 'offset', + 'onpath', + 'opacity', + 'opposite', + 'orientation', + 'orig_circlenodesnumber', + 'orig_circlenodesnumber1', + 'orig_draw', + 'orig_ellipsenodesnumber', + 'orig_ellipsenodesnumber1', + 'orig_hyperbolanodesnumber', + 'orig_parabolanodesnumber', + 'origin', + 'orthic', + 'orthocentercenter', + 'outformat', + 'outline', + 'outprefix', + 'output', + 'overloadedMessage', + 'overwrite', + 'pack', + 'pad', + 'pairs', + 'palette', + 'parabola', + 'parabolanodesnumber', + 'parallel', + 'partialsum', + 'path', + 'path3', + 'pattern', + 'pause', + 'pdf', + 'pedal', + 'periodic', + 'perp', + 'perpendicular', + 'perpendicularmark', + 'phantom', + 'phi1', + 'phi2', + 'phi3', + 'photon', + 'piecewisestraight', + 'point', + 'polar', + 'polarconicroutine', + 'polargraph', + 'polygon', + 'postcontrol', + 'postscript', + 'pow10', + 'ppoint', + 'prc', + 'prc0', + 'precision', + 'precontrol', + 'prepend', + 'print_random_addresses', + 'project', + 'projection', + 'purge', + 'pwhermite', + 'quadrant', + 'quadraticroots', + 'quantize', + 'quarticroots', + 'quotient', + 'radialshade', + 'radians', + 'radicalcenter', + 'radicalline', + 'radius', + 'rand', + 'randompath', + 'rd', + 'readline', + 'realmult', + 'realquarticroots', + 'rectangle', + 'rectangular', + 'rectify', + 'reflect', + 'relabscissa', + 'relative', + 'relativedistance', + 'reldir', + 'relpoint', + 'reltime', + 'remainder', + 'remark', + 'removeDuplicates', + 'rename', + 'replace', + 'report', + 'resetdefaultpen', + 'restore', + 'restoredefaults', + 'reverse', + 'reversevideo', + 'rf', + 'rfind', + 'rgb', + 'rgba', + 'rgbint', + 'rms', + 'rotate', + 'rotateO', + 'rotation', + 'round', + 'roundbox', + 'roundedpath', + 'roundrectangle', + 'samecoordsys', + 'sameside', + 'sample', + 'save', + 'savedefaults', + 'saveline', + 'scale', + 'scale3', + 'scaleO', + 'scaleT', + 'scaleless', + 'scientific', + 'search', + 'searchtree', + 'sec', + 'secondaryX', + 'secondaryY', + 'seconds', + 'section', + 'sector', + 'seek', + 'seekeof', + 'segment', + 'sequence', + 'setpens', + 'sgn', + 'sgnd', + 'sharpangle', + 'sharpdegrees', + 'shift', + 'shiftless', + 'shipout', + 'shipout3', + 'show', + 'side', + 'simeq', + 'simpson', + 'sin', + 'single', + 'sinh', + 'size', + 'size3', + 'skewness', + 'skip', + 'slant', + 'sleep', + 'slope', + 'slopefield', + 'solve', + 'solveBVP', + 'sort', + 'sourceline', + 'sphere', + 'split', + 'sqrt', + 'square', + 'srand', + 'standardizecoordsys', + 'startScript', + 'startTrembling', + 'stdev', + 'step', + 'stickframe', + 'stickmarksize', + 'stickmarkspace', + 'stop', + 'straight', + 'straightness', + 'string', + 'stripdirectory', + 'stripextension', + 'stripfile', + 'strokepath', + 'subdivide', + 'subitem', + 'subpath', + 'substr', + 'sum', + 'surface', + 'symmedial', + 'symmedian', + 'system', + 'tab', + 'tableau', + 'tan', + 'tangent', + 'tangential', + 'tangents', + 'tanh', + 'tell', + 'tensionSpecifier', + 'tensorshade', + 'tex', + 'texcolor', + 'texify', + 'texpath', + 'texpreamble', + 'texreset', + 'texshipout', + 'texsize', + 'textpath', + 'thick', + 'thin', + 'tick', + 'tickMax', + 'tickMax3', + 'tickMin', + 'tickMin3', + 'ticklabelshift', + 'ticklocate', + 'tildeframe', + 'tildemarksize', + 'tile', + 'tiling', + 'time', + 'times', + 'title', + 'titlepage', + 'topbox', + 'transform', + 'transformation', + 'transpose', + 'tremble', + 'trembleFuzz', + 'tremble_circlenodesnumber', + 'tremble_circlenodesnumber1', + 'tremble_draw', + 'tremble_ellipsenodesnumber', + 'tremble_ellipsenodesnumber1', + 'tremble_hyperbolanodesnumber', + 'tremble_marknodes', + 'tremble_markuniform', + 'tremble_parabolanodesnumber', + 'triangle', + 'triangleAbc', + 'triangleabc', + 'triangulate', + 'tricoef', + 'tridiagonal', + 'trilinear', + 'trim', + 'trueMagnetize', + 'truepoint', + 'tube', + 'uncycle', + 'unfill', + 'uniform', + 'unit', + 'unitrand', + 'unitsize', + 'unityroot', + 'unstraighten', + 'upcase', + 'updatefunction', + 'uperiodic', + 'upscale', + 'uptodate', + 'usepackage', + 'usersetting', + 'usetypescript', + 'usleep', + 'value', + 'variance', + 'variancebiased', + 'vbox', + 'vector', + 'vectorfield', + 'verbatim', + 'view', + 'vline', + 'vperiodic', + 'vprojection', + 'warn', + 'warning', + 'windingnumber', + 'write', + 'xaxis', + 'xaxis3', + 'xaxis3At', + 'xaxisAt', + 'xequals', + 'xinput', + 'xlimits', + 'xoutput', + 'xpart', + 'xscale', + 'xscaleO', + 'xtick', + 'xtick3', + 'xtrans', + 'yaxis', + 'yaxis3', + 'yaxis3At', + 'yaxisAt', + 'yequals', + 'ylimits', + 'ypart', + 'yscale', + 'yscaleO', + 'ytick', + 'ytick3', + 'ytrans', + 'zaxis3', + 'zaxis3At', + 'zero', + 'zero3', + 'zlimits', + 'zpart', + 'ztick', + 'ztick3', + 'ztrans' +)) + +ASYVARNAME = set(( + 'AliceBlue', + 'Align', + 'Allow', + 'AntiqueWhite', + 'Apricot', + 'Aqua', + 'Aquamarine', + 'Aspect', + 'Azure', + 'BeginPoint', + 'Beige', + 'Bisque', + 'Bittersweet', + 'Black', + 'BlanchedAlmond', + 'Blue', + 'BlueGreen', + 'BlueViolet', + 'Both', + 'Break', + 'BrickRed', + 'Brown', + 'BurlyWood', + 'BurntOrange', + 'CCW', + 'CW', + 'CadetBlue', + 'CarnationPink', + 'Center', + 'Centered', + 'Cerulean', + 'Chartreuse', + 'Chocolate', + 'Coeff', + 'Coral', + 'CornflowerBlue', + 'Cornsilk', + 'Crimson', + 'Crop', + 'Cyan', + 'Dandelion', + 'DarkBlue', + 'DarkCyan', + 'DarkGoldenrod', + 'DarkGray', + 'DarkGreen', + 'DarkKhaki', + 'DarkMagenta', + 'DarkOliveGreen', + 'DarkOrange', + 'DarkOrchid', + 'DarkRed', + 'DarkSalmon', + 'DarkSeaGreen', + 'DarkSlateBlue', + 'DarkSlateGray', + 'DarkTurquoise', + 'DarkViolet', + 'DeepPink', + 'DeepSkyBlue', + 'DefaultHead', + 'DimGray', + 'DodgerBlue', + 'Dotted', + 'Draw', + 'E', + 'ENE', + 'EPS', + 'ESE', + 'E_Euler', + 'E_PC', + 'E_RK2', + 'E_RK3BS', + 'Emerald', + 'EndPoint', + 'Euler', + 'Fill', + 'FillDraw', + 'FireBrick', + 'FloralWhite', + 'ForestGreen', + 'Fuchsia', + 'Gainsboro', + 'GhostWhite', + 'Gold', + 'Goldenrod', + 'Gray', + 'Green', + 'GreenYellow', + 'Honeydew', + 'HookHead', + 'Horizontal', + 'HotPink', + 'I', + 'IgnoreAspect', + 'IndianRed', + 'Indigo', + 'Ivory', + 'JOIN_IN', + 'JOIN_OUT', + 'JungleGreen', + 'Khaki', + 'LM_DWARF', + 'LM_MACHEP', + 'LM_SQRT_DWARF', + 'LM_SQRT_GIANT', + 'LM_USERTOL', + 'Label', + 'Lavender', + 'LavenderBlush', + 'LawnGreen', + 'LeftJustified', + 'LeftSide', + 'LemonChiffon', + 'LightBlue', + 'LightCoral', + 'LightCyan', + 'LightGoldenrodYellow', + 'LightGreen', + 'LightGrey', + 'LightPink', + 'LightSalmon', + 'LightSeaGreen', + 'LightSkyBlue', + 'LightSlateGray', + 'LightSteelBlue', + 'LightYellow', + 'Lime', + 'LimeGreen', + 'Linear', + 'Linen', + 'Log', + 'Logarithmic', + 'Magenta', + 'Mahogany', + 'Mark', + 'MarkFill', + 'Maroon', + 'Max', + 'MediumAquamarine', + 'MediumBlue', + 'MediumOrchid', + 'MediumPurple', + 'MediumSeaGreen', + 'MediumSlateBlue', + 'MediumSpringGreen', + 'MediumTurquoise', + 'MediumVioletRed', + 'Melon', + 'MidPoint', + 'MidnightBlue', + 'Min', + 'MintCream', + 'MistyRose', + 'Moccasin', + 'Move', + 'MoveQuiet', + 'Mulberry', + 'N', + 'NE', + 'NNE', + 'NNW', + 'NW', + 'NavajoWhite', + 'Navy', + 'NavyBlue', + 'NoAlign', + 'NoCrop', + 'NoFill', + 'NoSide', + 'OldLace', + 'Olive', + 'OliveDrab', + 'OliveGreen', + 'Orange', + 'OrangeRed', + 'Orchid', + 'Ox', + 'Oy', + 'PC', + 'PaleGoldenrod', + 'PaleGreen', + 'PaleTurquoise', + 'PaleVioletRed', + 'PapayaWhip', + 'Peach', + 'PeachPuff', + 'Periwinkle', + 'Peru', + 'PineGreen', + 'Pink', + 'Plum', + 'PowderBlue', + 'ProcessBlue', + 'Purple', + 'RK2', + 'RK3', + 'RK3BS', + 'RK4', + 'RK5', + 'RK5DP', + 'RK5F', + 'RawSienna', + 'Red', + 'RedOrange', + 'RedViolet', + 'Rhodamine', + 'RightJustified', + 'RightSide', + 'RosyBrown', + 'RoyalBlue', + 'RoyalPurple', + 'RubineRed', + 'S', + 'SE', + 'SSE', + 'SSW', + 'SW', + 'SaddleBrown', + 'Salmon', + 'SandyBrown', + 'SeaGreen', + 'Seashell', + 'Sepia', + 'Sienna', + 'Silver', + 'SimpleHead', + 'SkyBlue', + 'SlateBlue', + 'SlateGray', + 'Snow', + 'SpringGreen', + 'SteelBlue', + 'Suppress', + 'SuppressQuiet', + 'Tan', + 'TeXHead', + 'Teal', + 'TealBlue', + 'Thistle', + 'Ticksize', + 'Tomato', + 'Turquoise', + 'UnFill', + 'VERSION', + 'Value', + 'Vertical', + 'Violet', + 'VioletRed', + 'W', + 'WNW', + 'WSW', + 'Wheat', + 'White', + 'WhiteSmoke', + 'WildStrawberry', + 'XYAlign', + 'YAlign', + 'Yellow', + 'YellowGreen', + 'YellowOrange', + 'addpenarc', + 'addpenline', + 'align', + 'allowstepping', + 'angularsystem', + 'animationdelay', + 'appendsuffix', + 'arcarrowangle', + 'arcarrowfactor', + 'arrow2sizelimit', + 'arrowangle', + 'arrowbarb', + 'arrowdir', + 'arrowfactor', + 'arrowhookfactor', + 'arrowlength', + 'arrowsizelimit', + 'arrowtexfactor', + 'authorpen', + 'axis', + 'axiscoverage', + 'axislabelfactor', + 'background', + 'backgroundcolor', + 'backgroundpen', + 'barfactor', + 'barmarksizefactor', + 'basealign', + 'baselinetemplate', + 'beveljoin', + 'bigvertexpen', + 'bigvertexsize', + 'black', + 'blue', + 'bm', + 'bottom', + 'bp', + 'brown', + 'bullet', + 'byfoci', + 'byvertices', + 'camerafactor', + 'chartreuse', + 'circlemarkradiusfactor', + 'circlenodesnumberfactor', + 'circleprecision', + 'circlescale', + 'cm', + 'codefile', + 'codepen', + 'codeskip', + 'colorPen', + 'coloredNodes', + 'coloredSegments', + 'conditionlength', + 'conicnodesfactor', + 'count', + 'cputimeformat', + 'crossmarksizefactor', + 'currentcoordsys', + 'currentlight', + 'currentpatterns', + 'currentpen', + 'currentpicture', + 'currentposition', + 'currentprojection', + 'curvilinearsystem', + 'cuttings', + 'cyan', + 'darkblue', + 'darkbrown', + 'darkcyan', + 'darkgray', + 'darkgreen', + 'darkgrey', + 'darkmagenta', + 'darkolive', + 'darkred', + 'dashdotted', + 'dashed', + 'datepen', + 'dateskip', + 'debuggerlines', + 'debugging', + 'deepblue', + 'deepcyan', + 'deepgray', + 'deepgreen', + 'deepgrey', + 'deepmagenta', + 'deepred', + 'default', + 'defaultControl', + 'defaultS', + 'defaultbackpen', + 'defaultcoordsys', + 'defaultfilename', + 'defaultformat', + 'defaultmassformat', + 'defaultpen', + 'diagnostics', + 'differentlengths', + 'dot', + 'dotfactor', + 'dotframe', + 'dotted', + 'doublelinepen', + 'doublelinespacing', + 'down', + 'duplicateFuzz', + 'ellipsenodesnumberfactor', + 'eps', + 'epsgeo', + 'epsilon', + 'evenodd', + 'extendcap', + 'fermionpen', + 'figureborder', + 'figuremattpen', + 'firstnode', + 'firststep', + 'foregroundcolor', + 'fuchsia', + 'fuzz', + 'gapfactor', + 'ghostpen', + 'gluonamplitude', + 'gluonpen', + 'gluonratio', + 'gray', + 'green', + 'grey', + 'hatchepsilon', + 'havepagenumber', + 'heavyblue', + 'heavycyan', + 'heavygray', + 'heavygreen', + 'heavygrey', + 'heavymagenta', + 'heavyred', + 'hline', + 'hwratio', + 'hyperbolanodesnumberfactor', + 'identity4', + 'ignore', + 'inXasyMode', + 'inch', + 'inches', + 'includegraphicscommand', + 'inf', + 'infinity', + 'institutionpen', + 'intMax', + 'intMin', + 'invert', + 'invisible', + 'itempen', + 'itemskip', + 'itemstep', + 'labelmargin', + 'landscape', + 'lastnode', + 'left', + 'legendhskip', + 'legendlinelength', + 'legendmargin', + 'legendmarkersize', + 'legendmaxrelativewidth', + 'legendvskip', + 'lightblue', + 'lightcyan', + 'lightgray', + 'lightgreen', + 'lightgrey', + 'lightmagenta', + 'lightolive', + 'lightred', + 'lightyellow', + 'linemargin', + 'lm_infmsg', + 'lm_shortmsg', + 'longdashdotted', + 'longdashed', + 'magenta', + 'magneticPoints', + 'magneticRadius', + 'mantissaBits', + 'markangleradius', + 'markangleradiusfactor', + 'markanglespace', + 'markanglespacefactor', + 'mediumblue', + 'mediumcyan', + 'mediumgray', + 'mediumgreen', + 'mediumgrey', + 'mediummagenta', + 'mediumred', + 'mediumyellow', + 'middle', + 'minDistDefault', + 'minblockheight', + 'minblockwidth', + 'mincirclediameter', + 'minipagemargin', + 'minipagewidth', + 'minvertexangle', + 'miterjoin', + 'mm', + 'momarrowfactor', + 'momarrowlength', + 'momarrowmargin', + 'momarrowoffset', + 'momarrowpen', + 'monoPen', + 'morepoints', + 'nCircle', + 'newbulletcolor', + 'ngraph', + 'nil', + 'nmesh', + 'nobasealign', + 'nodeMarginDefault', + 'nodesystem', + 'nomarker', + 'nopoint', + 'noprimary', + 'nullpath', + 'nullpen', + 'numarray', + 'ocgindex', + 'oldbulletcolor', + 'olive', + 'orange', + 'origin', + 'overpaint', + 'page', + 'pageheight', + 'pagemargin', + 'pagenumberalign', + 'pagenumberpen', + 'pagenumberposition', + 'pagewidth', + 'paleblue', + 'palecyan', + 'palegray', + 'palegreen', + 'palegrey', + 'palemagenta', + 'palered', + 'paleyellow', + 'parabolanodesnumberfactor', + 'perpfactor', + 'phi', + 'photonamplitude', + 'photonpen', + 'photonratio', + 'pi', + 'pink', + 'plain', + 'plus', + 'preamblenodes', + 'pt', + 'purple', + 'r3', + 'r4a', + 'r4b', + 'randMax', + 'realDigits', + 'realEpsilon', + 'realMax', + 'realMin', + 'red', + 'relativesystem', + 'reverse', + 'right', + 'roundcap', + 'roundjoin', + 'royalblue', + 'salmon', + 'saveFunctions', + 'scalarpen', + 'sequencereal', + 'settings', + 'shipped', + 'signedtrailingzero', + 'solid', + 'springgreen', + 'sqrtEpsilon', + 'squarecap', + 'squarepen', + 'startposition', + 'stdin', + 'stdout', + 'stepfactor', + 'stepfraction', + 'steppagenumberpen', + 'stepping', + 'stickframe', + 'stickmarksizefactor', + 'stickmarkspacefactor', + 'textpen', + 'ticksize', + 'tildeframe', + 'tildemarksizefactor', + 'tinv', + 'titlealign', + 'titlepagepen', + 'titlepageposition', + 'titlepen', + 'titleskip', + 'top', + 'trailingzero', + 'treeLevelStep', + 'treeMinNodeWidth', + 'treeNodeStep', + 'trembleAngle', + 'trembleFrequency', + 'trembleRandom', + 'tremblingMode', + 'undefined', + 'unitcircle', + 'unitsquare', + 'up', + 'urlpen', + 'urlskip', + 'version', + 'vertexpen', + 'vertexsize', + 'viewportmargin', + 'viewportsize', + 'vline', + 'white', + 'wye', + 'xformStack', + 'yellow', + 'ylabelwidth', + 'zerotickfuzz', + 'zerowinding' +)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_cl_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_cl_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..ce5ad48e2c2f8db0254db89668191f1e0e0e6dcf --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_cl_builtins.py @@ -0,0 +1,232 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._cl_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + ANSI Common Lisp builtins. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +BUILTIN_FUNCTIONS = set(( # 638 functions + '<', '<=', '=', '>', '>=', '-', '/', '/=', '*', '+', '1-', '1+', + 'abort', 'abs', 'acons', 'acos', 'acosh', 'add-method', 'adjoin', + 'adjustable-array-p', 'adjust-array', 'allocate-instance', + 'alpha-char-p', 'alphanumericp', 'append', 'apply', 'apropos', + 'apropos-list', 'aref', 'arithmetic-error-operands', + 'arithmetic-error-operation', 'array-dimension', 'array-dimensions', + 'array-displacement', 'array-element-type', 'array-has-fill-pointer-p', + 'array-in-bounds-p', 'arrayp', 'array-rank', 'array-row-major-index', + 'array-total-size', 'ash', 'asin', 'asinh', 'assoc', 'assoc-if', + 'assoc-if-not', 'atan', 'atanh', 'atom', 'bit', 'bit-and', 'bit-andc1', + 'bit-andc2', 'bit-eqv', 'bit-ior', 'bit-nand', 'bit-nor', 'bit-not', + 'bit-orc1', 'bit-orc2', 'bit-vector-p', 'bit-xor', 'boole', + 'both-case-p', 'boundp', 'break', 'broadcast-stream-streams', + 'butlast', 'byte', 'byte-position', 'byte-size', 'caaaar', 'caaadr', + 'caaar', 'caadar', 'caaddr', 'caadr', 'caar', 'cadaar', 'cadadr', + 'cadar', 'caddar', 'cadddr', 'caddr', 'cadr', 'call-next-method', 'car', + 'cdaaar', 'cdaadr', 'cdaar', 'cdadar', 'cdaddr', 'cdadr', 'cdar', + 'cddaar', 'cddadr', 'cddar', 'cdddar', 'cddddr', 'cdddr', 'cddr', 'cdr', + 'ceiling', 'cell-error-name', 'cerror', 'change-class', 'char', 'char<', + 'char<=', 'char=', 'char>', 'char>=', 'char/=', 'character', + 'characterp', 'char-code', 'char-downcase', 'char-equal', + 'char-greaterp', 'char-int', 'char-lessp', 'char-name', + 'char-not-equal', 'char-not-greaterp', 'char-not-lessp', 'char-upcase', + 'cis', 'class-name', 'class-of', 'clear-input', 'clear-output', + 'close', 'clrhash', 'code-char', 'coerce', 'compile', + 'compiled-function-p', 'compile-file', 'compile-file-pathname', + 'compiler-macro-function', 'complement', 'complex', 'complexp', + 'compute-applicable-methods', 'compute-restarts', 'concatenate', + 'concatenated-stream-streams', 'conjugate', 'cons', 'consp', + 'constantly', 'constantp', 'continue', 'copy-alist', 'copy-list', + 'copy-pprint-dispatch', 'copy-readtable', 'copy-seq', 'copy-structure', + 'copy-symbol', 'copy-tree', 'cos', 'cosh', 'count', 'count-if', + 'count-if-not', 'decode-float', 'decode-universal-time', 'delete', + 'delete-duplicates', 'delete-file', 'delete-if', 'delete-if-not', + 'delete-package', 'denominator', 'deposit-field', 'describe', + 'describe-object', 'digit-char', 'digit-char-p', 'directory', + 'directory-namestring', 'disassemble', 'documentation', 'dpb', + 'dribble', 'echo-stream-input-stream', 'echo-stream-output-stream', + 'ed', 'eighth', 'elt', 'encode-universal-time', 'endp', + 'enough-namestring', 'ensure-directories-exist', + 'ensure-generic-function', 'eq', 'eql', 'equal', 'equalp', 'error', + 'eval', 'evenp', 'every', 'exp', 'export', 'expt', 'fboundp', + 'fceiling', 'fdefinition', 'ffloor', 'fifth', 'file-author', + 'file-error-pathname', 'file-length', 'file-namestring', + 'file-position', 'file-string-length', 'file-write-date', + 'fill', 'fill-pointer', 'find', 'find-all-symbols', 'find-class', + 'find-if', 'find-if-not', 'find-method', 'find-package', 'find-restart', + 'find-symbol', 'finish-output', 'first', 'float', 'float-digits', + 'floatp', 'float-precision', 'float-radix', 'float-sign', 'floor', + 'fmakunbound', 'force-output', 'format', 'fourth', 'fresh-line', + 'fround', 'ftruncate', 'funcall', 'function-keywords', + 'function-lambda-expression', 'functionp', 'gcd', 'gensym', 'gentemp', + 'get', 'get-decoded-time', 'get-dispatch-macro-character', 'getf', + 'gethash', 'get-internal-real-time', 'get-internal-run-time', + 'get-macro-character', 'get-output-stream-string', 'get-properties', + 'get-setf-expansion', 'get-universal-time', 'graphic-char-p', + 'hash-table-count', 'hash-table-p', 'hash-table-rehash-size', + 'hash-table-rehash-threshold', 'hash-table-size', 'hash-table-test', + 'host-namestring', 'identity', 'imagpart', 'import', + 'initialize-instance', 'input-stream-p', 'inspect', + 'integer-decode-float', 'integer-length', 'integerp', + 'interactive-stream-p', 'intern', 'intersection', + 'invalid-method-error', 'invoke-debugger', 'invoke-restart', + 'invoke-restart-interactively', 'isqrt', 'keywordp', 'last', 'lcm', + 'ldb', 'ldb-test', 'ldiff', 'length', 'lisp-implementation-type', + 'lisp-implementation-version', 'list', 'list*', 'list-all-packages', + 'listen', 'list-length', 'listp', 'load', + 'load-logical-pathname-translations', 'log', 'logand', 'logandc1', + 'logandc2', 'logbitp', 'logcount', 'logeqv', 'logical-pathname', + 'logical-pathname-translations', 'logior', 'lognand', 'lognor', + 'lognot', 'logorc1', 'logorc2', 'logtest', 'logxor', 'long-site-name', + 'lower-case-p', 'machine-instance', 'machine-type', 'machine-version', + 'macroexpand', 'macroexpand-1', 'macro-function', 'make-array', + 'make-broadcast-stream', 'make-concatenated-stream', 'make-condition', + 'make-dispatch-macro-character', 'make-echo-stream', 'make-hash-table', + 'make-instance', 'make-instances-obsolete', 'make-list', + 'make-load-form', 'make-load-form-saving-slots', 'make-package', + 'make-pathname', 'make-random-state', 'make-sequence', 'make-string', + 'make-string-input-stream', 'make-string-output-stream', 'make-symbol', + 'make-synonym-stream', 'make-two-way-stream', 'makunbound', 'map', + 'mapc', 'mapcan', 'mapcar', 'mapcon', 'maphash', 'map-into', 'mapl', + 'maplist', 'mask-field', 'max', 'member', 'member-if', 'member-if-not', + 'merge', 'merge-pathnames', 'method-combination-error', + 'method-qualifiers', 'min', 'minusp', 'mismatch', 'mod', + 'muffle-warning', 'name-char', 'namestring', 'nbutlast', 'nconc', + 'next-method-p', 'nintersection', 'ninth', 'no-applicable-method', + 'no-next-method', 'not', 'notany', 'notevery', 'nreconc', 'nreverse', + 'nset-difference', 'nset-exclusive-or', 'nstring-capitalize', + 'nstring-downcase', 'nstring-upcase', 'nsublis', 'nsubst', 'nsubst-if', + 'nsubst-if-not', 'nsubstitute', 'nsubstitute-if', 'nsubstitute-if-not', + 'nth', 'nthcdr', 'null', 'numberp', 'numerator', 'nunion', 'oddp', + 'open', 'open-stream-p', 'output-stream-p', 'package-error-package', + 'package-name', 'package-nicknames', 'packagep', + 'package-shadowing-symbols', 'package-used-by-list', 'package-use-list', + 'pairlis', 'parse-integer', 'parse-namestring', 'pathname', + 'pathname-device', 'pathname-directory', 'pathname-host', + 'pathname-match-p', 'pathname-name', 'pathnamep', 'pathname-type', + 'pathname-version', 'peek-char', 'phase', 'plusp', 'position', + 'position-if', 'position-if-not', 'pprint', 'pprint-dispatch', + 'pprint-fill', 'pprint-indent', 'pprint-linear', 'pprint-newline', + 'pprint-tab', 'pprint-tabular', 'prin1', 'prin1-to-string', 'princ', + 'princ-to-string', 'print', 'print-object', 'probe-file', 'proclaim', + 'provide', 'random', 'random-state-p', 'rassoc', 'rassoc-if', + 'rassoc-if-not', 'rational', 'rationalize', 'rationalp', 'read', + 'read-byte', 'read-char', 'read-char-no-hang', 'read-delimited-list', + 'read-from-string', 'read-line', 'read-preserving-whitespace', + 'read-sequence', 'readtable-case', 'readtablep', 'realp', 'realpart', + 'reduce', 'reinitialize-instance', 'rem', 'remhash', 'remove', + 'remove-duplicates', 'remove-if', 'remove-if-not', 'remove-method', + 'remprop', 'rename-file', 'rename-package', 'replace', 'require', + 'rest', 'restart-name', 'revappend', 'reverse', 'room', 'round', + 'row-major-aref', 'rplaca', 'rplacd', 'sbit', 'scale-float', 'schar', + 'search', 'second', 'set', 'set-difference', + 'set-dispatch-macro-character', 'set-exclusive-or', + 'set-macro-character', 'set-pprint-dispatch', 'set-syntax-from-char', + 'seventh', 'shadow', 'shadowing-import', 'shared-initialize', + 'short-site-name', 'signal', 'signum', 'simple-bit-vector-p', + 'simple-condition-format-arguments', 'simple-condition-format-control', + 'simple-string-p', 'simple-vector-p', 'sin', 'sinh', 'sixth', 'sleep', + 'slot-boundp', 'slot-exists-p', 'slot-makunbound', 'slot-missing', + 'slot-unbound', 'slot-value', 'software-type', 'software-version', + 'some', 'sort', 'special-operator-p', 'sqrt', 'stable-sort', + 'standard-char-p', 'store-value', 'stream-element-type', + 'stream-error-stream', 'stream-external-format', 'streamp', 'string', + 'string<', 'string<=', 'string=', 'string>', 'string>=', 'string/=', + 'string-capitalize', 'string-downcase', 'string-equal', + 'string-greaterp', 'string-left-trim', 'string-lessp', + 'string-not-equal', 'string-not-greaterp', 'string-not-lessp', + 'stringp', 'string-right-trim', 'string-trim', 'string-upcase', + 'sublis', 'subseq', 'subsetp', 'subst', 'subst-if', 'subst-if-not', + 'substitute', 'substitute-if', 'substitute-if-not', 'subtypep','svref', + 'sxhash', 'symbol-function', 'symbol-name', 'symbolp', 'symbol-package', + 'symbol-plist', 'symbol-value', 'synonym-stream-symbol', 'syntax:', + 'tailp', 'tan', 'tanh', 'tenth', 'terpri', 'third', + 'translate-logical-pathname', 'translate-pathname', 'tree-equal', + 'truename', 'truncate', 'two-way-stream-input-stream', + 'two-way-stream-output-stream', 'type-error-datum', + 'type-error-expected-type', 'type-of', 'typep', 'unbound-slot-instance', + 'unexport', 'unintern', 'union', 'unread-char', 'unuse-package', + 'update-instance-for-different-class', + 'update-instance-for-redefined-class', 'upgraded-array-element-type', + 'upgraded-complex-part-type', 'upper-case-p', 'use-package', + 'user-homedir-pathname', 'use-value', 'values', 'values-list', 'vector', + 'vectorp', 'vector-pop', 'vector-push', 'vector-push-extend', 'warn', + 'wild-pathname-p', 'write', 'write-byte', 'write-char', 'write-line', + 'write-sequence', 'write-string', 'write-to-string', 'yes-or-no-p', + 'y-or-n-p', 'zerop', +)) + +SPECIAL_FORMS = set(( + 'block', 'catch', 'declare', 'eval-when', 'flet', 'function', 'go', 'if', + 'labels', 'lambda', 'let', 'let*', 'load-time-value', 'locally', 'macrolet', + 'multiple-value-call', 'multiple-value-prog1', 'progn', 'progv', 'quote', + 'return-from', 'setq', 'symbol-macrolet', 'tagbody', 'the', 'throw', + 'unwind-protect', +)) + +MACROS = set(( + 'and', 'assert', 'call-method', 'case', 'ccase', 'check-type', 'cond', + 'ctypecase', 'decf', 'declaim', 'defclass', 'defconstant', 'defgeneric', + 'define-compiler-macro', 'define-condition', 'define-method-combination', + 'define-modify-macro', 'define-setf-expander', 'define-symbol-macro', + 'defmacro', 'defmethod', 'defpackage', 'defparameter', 'defsetf', + 'defstruct', 'deftype', 'defun', 'defvar', 'destructuring-bind', 'do', + 'do*', 'do-all-symbols', 'do-external-symbols', 'dolist', 'do-symbols', + 'dotimes', 'ecase', 'etypecase', 'formatter', 'handler-bind', + 'handler-case', 'ignore-errors', 'incf', 'in-package', 'lambda', 'loop', + 'loop-finish', 'make-method', 'multiple-value-bind', 'multiple-value-list', + 'multiple-value-setq', 'nth-value', 'or', 'pop', + 'pprint-exit-if-list-exhausted', 'pprint-logical-block', 'pprint-pop', + 'print-unreadable-object', 'prog', 'prog*', 'prog1', 'prog2', 'psetf', + 'psetq', 'push', 'pushnew', 'remf', 'restart-bind', 'restart-case', + 'return', 'rotatef', 'setf', 'shiftf', 'step', 'time', 'trace', 'typecase', + 'unless', 'untrace', 'when', 'with-accessors', 'with-compilation-unit', + 'with-condition-restarts', 'with-hash-table-iterator', + 'with-input-from-string', 'with-open-file', 'with-open-stream', + 'with-output-to-string', 'with-package-iterator', 'with-simple-restart', + 'with-slots', 'with-standard-io-syntax', +)) + +LAMBDA_LIST_KEYWORDS = set(( + '&allow-other-keys', '&aux', '&body', '&environment', '&key', '&optional', + '&rest', '&whole', +)) + +DECLARATIONS = set(( + 'dynamic-extent', 'ignore', 'optimize', 'ftype', 'inline', 'special', + 'ignorable', 'notinline', 'type', +)) + +BUILTIN_TYPES = set(( + 'atom', 'boolean', 'base-char', 'base-string', 'bignum', 'bit', + 'compiled-function', 'extended-char', 'fixnum', 'keyword', 'nil', + 'signed-byte', 'short-float', 'single-float', 'double-float', 'long-float', + 'simple-array', 'simple-base-string', 'simple-bit-vector', 'simple-string', + 'simple-vector', 'standard-char', 'unsigned-byte', + + # Condition Types + 'arithmetic-error', 'cell-error', 'condition', 'control-error', + 'division-by-zero', 'end-of-file', 'error', 'file-error', + 'floating-point-inexact', 'floating-point-overflow', + 'floating-point-underflow', 'floating-point-invalid-operation', + 'parse-error', 'package-error', 'print-not-readable', 'program-error', + 'reader-error', 'serious-condition', 'simple-condition', 'simple-error', + 'simple-type-error', 'simple-warning', 'stream-error', 'storage-condition', + 'style-warning', 'type-error', 'unbound-variable', 'unbound-slot', + 'undefined-function', 'warning', +)) + +BUILTIN_CLASSES = set(( + 'array', 'broadcast-stream', 'bit-vector', 'built-in-class', 'character', + 'class', 'complex', 'concatenated-stream', 'cons', 'echo-stream', + 'file-stream', 'float', 'function', 'generic-function', 'hash-table', + 'integer', 'list', 'logical-pathname', 'method-combination', 'method', + 'null', 'number', 'package', 'pathname', 'ratio', 'rational', 'readtable', + 'real', 'random-state', 'restart', 'sequence', 'standard-class', + 'standard-generic-function', 'standard-method', 'standard-object', + 'string-stream', 'stream', 'string', 'structure-class', 'structure-object', + 'symbol', 'synonym-stream', 't', 'two-way-stream', 'vector', +)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_cocoa_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_cocoa_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..064167ffd4f4a0d30111106cade6ec67876d6032 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_cocoa_builtins.py @@ -0,0 +1,72 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._cocoa_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + This file defines a set of types used across Cocoa frameworks from Apple. + There is a list of @interfaces, @protocols and some other (structs, unions) + + File may be also used as standalone generator for aboves. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from __future__ import print_function + +COCOA_INTERFACES = set(['UITableViewCell', 'HKCorrelationQuery', 'NSURLSessionDataTask', 'PHFetchOptions', 'NSLinguisticTagger', 'NSStream', 'AVAudioUnitDelay', 'GCMotion', 'SKPhysicsWorld', 'NSString', 'CMAttitude', 'AVAudioEnvironmentDistanceAttenuationParameters', 'HKStatisticsCollection', 'SCNPlane', 'CBPeer', 'JSContext', 'SCNTransaction', 'SCNTorus', 'AVAudioUnitEffect', 'UICollectionReusableView', 'MTLSamplerDescriptor', 'AVAssetReaderSampleReferenceOutput', 'AVMutableCompositionTrack', 'GKLeaderboard', 'NSFetchedResultsController', 'SKRange', 'MKTileOverlayRenderer', 'MIDINetworkSession', 'UIVisualEffectView', 'CIWarpKernel', 'PKObject', 'MKRoute', 'MPVolumeView', 'UIPrintInfo', 'SCNText', 'ADClient', 'PKPayment', 'AVMutableAudioMix', 'GLKEffectPropertyLight', 'WKScriptMessage', 'AVMIDIPlayer', 'PHCollectionListChangeRequest', 'UICollectionViewLayout', 'NSMutableCharacterSet', 'SKPaymentTransaction', 'NEOnDemandRuleConnect', 'NSShadow', 'SCNView', 'NSURLSessionConfiguration', 'MTLVertexAttributeDescriptor', 'CBCharacteristic', 'HKQuantityType', 'CKLocationSortDescriptor', 'NEVPNIKEv2SecurityAssociationParameters', 'CMStepCounter', 'NSNetService', 'AVAssetWriterInputMetadataAdaptor', 'UICollectionView', 'UIViewPrintFormatter', 'SCNLevelOfDetail', 'CAShapeLayer', 'MCPeerID', 'MPRatingCommand', 'WKNavigation', 'NSDictionary', 'NSFileVersion', 'CMGyroData', 'AVAudioUnitDistortion', 'CKFetchRecordsOperation', 'SKPhysicsJointSpring', 'SCNHitTestResult', 'AVAudioTime', 'CIFilter', 'UIView', 'SCNConstraint', 'CAPropertyAnimation', 'MKMapItem', 'MPRemoteCommandCenter', 'PKPaymentSummaryItem', 'UICollectionViewFlowLayoutInvalidationContext', 'UIInputViewController', 'PKPass', 'SCNPhysicsBehavior', 'MTLRenderPassColorAttachmentDescriptor', 'MKPolygonRenderer', 'CKNotification', 'JSValue', 'PHCollectionList', 'CLGeocoder', 'NSByteCountFormatter', 'AVCaptureScreenInput', 'MPFeedbackCommand', 'CAAnimation', 'MKOverlayPathView', 'UIActionSheet', 'UIMotionEffectGroup', 'NSLengthFormatter', 'UIBarItem', 'SKProduct', 'AVAssetExportSession', 'NSKeyedUnarchiver', 'NSMutableSet', 'SCNPyramid', 'PHAssetCollection', 'MKMapView', 'HMHomeManager', 'CATransition', 'MTLCompileOptions', 'UIVibrancyEffect', 'CLCircularRegion', 'MKTileOverlay', 'SCNShape', 'ACAccountCredential', 'SKPhysicsJointLimit', 'MKMapSnapshotter', 'AVMediaSelectionGroup', 'NSIndexSet', 'CBPeripheralManager', 'CKRecordZone', 'AVAudioRecorder', 'NSURL', 'CBCentral', 'NSNumber', 'AVAudioOutputNode', 'MTLVertexAttributeDescriptorArray', 'MKETAResponse', 'SKTransition', 'SSReadingList', 'HKSourceQuery', 'UITableViewRowAction', 'UITableView', 'SCNParticlePropertyController', 'AVCaptureStillImageOutput', 'GCController', 'AVAudioPlayerNode', 'AVAudioSessionPortDescription', 'NSHTTPURLResponse', 'NEOnDemandRuleEvaluateConnection', 'SKEffectNode', 'HKQuantity', 'GCControllerElement', 'AVPlayerItemAccessLogEvent', 'SCNBox', 'NSExtensionContext', 'MKOverlayRenderer', 'SCNPhysicsVehicle', 'NSDecimalNumber', 'EKReminder', 'MKPolylineView', 'CKQuery', 'AVAudioMixerNode', 'GKAchievementDescription', 'EKParticipant', 'NSBlockOperation', 'UIActivityItemProvider', 'CLLocation', 'NSBatchUpdateRequest', 'PHContentEditingOutput', 'PHObjectChangeDetails', 'HKWorkoutType', 'MPMoviePlayerController', 'AVAudioFormat', 'HMTrigger', 'MTLRenderPassDepthAttachmentDescriptor', 'SCNRenderer', 'GKScore', 'UISplitViewController', 'HKSource', 'NSURLConnection', 'ABUnknownPersonViewController', 'SCNTechnique', 'UIMenuController', 'NSEvent', 'SKTextureAtlas', 'NSKeyedArchiver', 'GKLeaderboardSet', 'NSSimpleCString', 'AVAudioPCMBuffer', 'CBATTRequest', 'GKMatchRequest', 'AVMetadataObject', 'SKProductsRequest', 'UIAlertView', 'NSIncrementalStore', 'MFMailComposeViewController', 'SCNFloor', 'NSSortDescriptor', 'CKFetchNotificationChangesOperation', 'MPMovieAccessLog', 'NSManagedObjectContext', 'AVAudioUnitGenerator', 'WKBackForwardList', 'SKMutableTexture', 'AVCaptureAudioDataOutput', 'ACAccount', 'AVMetadataItem', 'MPRatingCommandEvent', 'AVCaptureDeviceInputSource', 'CLLocationManager', 'MPRemoteCommand', 'AVCaptureSession', 'UIStepper', 'UIRefreshControl', 'NEEvaluateConnectionRule', 'CKModifyRecordsOperation', 'UICollectionViewTransitionLayout', 'CBCentralManager', 'NSPurgeableData', 'PKShippingMethod', 'SLComposeViewController', 'NSHashTable', 'MKUserTrackingBarButtonItem', 'UILexiconEntry', 'CMMotionActivity', 'SKAction', 'SKShader', 'AVPlayerItemOutput', 'MTLRenderPassAttachmentDescriptor', 'UIDocumentInteractionController', 'UIDynamicItemBehavior', 'NSMutableDictionary', 'UILabel', 'AVCaptureInputPort', 'NSExpression', 'CAInterAppAudioTransportView', 'SKMutablePayment', 'UIImage', 'PHCachingImageManager', 'SCNTransformConstraint', 'HKCorrelationType', 'UIColor', 'SCNGeometrySource', 'AVCaptureAutoExposureBracketedStillImageSettings', 'UIPopoverBackgroundView', 'UIToolbar', 'NSNotificationCenter', 'UICollectionViewLayoutAttributes', 'AVAssetReaderOutputMetadataAdaptor', 'NSEntityMigrationPolicy', 'HMUser', 'NSLocale', 'NSURLSession', 'SCNCamera', 'NSTimeZone', 'UIManagedDocument', 'AVMutableVideoCompositionLayerInstruction', 'AVAssetTrackGroup', 'NSInvocationOperation', 'ALAssetRepresentation', 'AVQueuePlayer', 'HMServiceGroup', 'UIPasteboard', 'PHContentEditingInput', 'NSLayoutManager', 'EKCalendarChooser', 'EKObject', 'CATiledLayer', 'GLKReflectionMapEffect', 'NSManagedObjectID', 'NSEnergyFormatter', 'SLRequest', 'HMCharacteristic', 'AVPlayerLayer', 'MTLRenderPassDescriptor', 'SKPayment', 'NSPointerArray', 'AVAudioMix', 'SCNLight', 'MCAdvertiserAssistant', 'MKMapSnapshotOptions', 'HKCategorySample', 'AVAudioEnvironmentReverbParameters', 'SCNMorpher', 'AVTimedMetadataGroup', 'CBMutableCharacteristic', 'NSFetchRequest', 'UIDevice', 'NSManagedObject', 'NKAssetDownload', 'AVOutputSettingsAssistant', 'SKPhysicsJointPin', 'UITabBar', 'UITextInputMode', 'NSFetchRequestExpression', 'HMActionSet', 'CTSubscriber', 'PHAssetChangeRequest', 'NSPersistentStoreRequest', 'UITabBarController', 'HKQuantitySample', 'AVPlayerItem', 'AVSynchronizedLayer', 'MKDirectionsRequest', 'NSMetadataItem', 'UIPresentationController', 'UINavigationItem', 'PHFetchResultChangeDetails', 'PHImageManager', 'AVCaptureManualExposureBracketedStillImageSettings', 'UIStoryboardPopoverSegue', 'SCNLookAtConstraint', 'UIGravityBehavior', 'UIWindow', 'CBMutableDescriptor', 'NEOnDemandRuleDisconnect', 'UIBezierPath', 'UINavigationController', 'ABPeoplePickerNavigationController', 'EKSource', 'AVAssetWriterInput', 'AVPlayerItemTrack', 'GLKEffectPropertyTexture', 'NSHTTPCookie', 'NSURLResponse', 'SKPaymentQueue', 'NSAssertionHandler', 'MKReverseGeocoder', 'GCControllerAxisInput', 'NSArray', 'NSOrthography', 'NSURLSessionUploadTask', 'NSCharacterSet', 'AVMutableVideoCompositionInstruction', 'AVAssetReaderOutput', 'EAGLContext', 'WKFrameInfo', 'CMPedometer', 'MyClass', 'CKModifyBadgeOperation', 'AVCaptureAudioFileOutput', 'SKEmitterNode', 'NSMachPort', 'AVVideoCompositionCoreAnimationTool', 'PHCollection', 'SCNPhysicsWorld', 'NSURLRequest', 'CMAccelerometerData', 'NSNetServiceBrowser', 'CLFloor', 'AVAsynchronousVideoCompositionRequest', 'SCNGeometry', 'SCNIKConstraint', 'CIKernel', 'CAGradientLayer', 'HKCharacteristicType', 'NSFormatter', 'SCNAction', 'CATransaction', 'CBUUID', 'UIStoryboard', 'MPMediaLibrary', 'UITapGestureRecognizer', 'MPMediaItemArtwork', 'NSURLSessionTask', 'AVAudioUnit', 'MCBrowserViewController', 'UIFontDescriptor', 'NSRelationshipDescription', 'HKSample', 'WKWebView', 'NSMutableAttributedString', 'NSPersistentStoreAsynchronousResult', 'MPNowPlayingInfoCenter', 'MKLocalSearch', 'EAAccessory', 'HKCorrelation', 'CATextLayer', 'NSNotificationQueue', 'UINib', 'GLKTextureLoader', 'HKObjectType', 'NSValue', 'NSMutableIndexSet', 'SKPhysicsContact', 'NSProgress', 'AVPlayerViewController', 'CAScrollLayer', 'GKSavedGame', 'NSTextCheckingResult', 'PHObjectPlaceholder', 'SKConstraint', 'EKEventEditViewController', 'NSEntityDescription', 'NSURLCredentialStorage', 'UIApplication', 'SKDownload', 'SCNNode', 'MKLocalSearchRequest', 'SKScene', 'UISearchDisplayController', 'NEOnDemandRule', 'MTLRenderPassStencilAttachmentDescriptor', 'CAReplicatorLayer', 'UIPrintPageRenderer', 'EKCalendarItem', 'NSUUID', 'EAAccessoryManager', 'NEOnDemandRuleIgnore', 'SKRegion', 'AVAssetResourceLoader', 'EAWiFiUnconfiguredAccessoryBrowser', 'NSUserActivity', 'CTCall', 'UIPrinterPickerController', 'CIVector', 'UINavigationBar', 'UIPanGestureRecognizer', 'MPMediaQuery', 'ABNewPersonViewController', 'CKRecordZoneID', 'HKAnchoredObjectQuery', 'CKFetchRecordZonesOperation', 'UIStoryboardSegue', 'ACAccountType', 'GKSession', 'SKVideoNode', 'PHChange', 'SKReceiptRefreshRequest', 'GCExtendedGamepadSnapshot', 'MPSeekCommandEvent', 'GCExtendedGamepad', 'CAValueFunction', 'SCNCylinder', 'NSNotification', 'NSBatchUpdateResult', 'PKPushCredentials', 'SCNPhysicsSliderJoint', 'AVCaptureDeviceFormat', 'AVPlayerItemErrorLog', 'NSMapTable', 'NSSet', 'CMMotionManager', 'GKVoiceChatService', 'UIPageControl', 'UILexicon', 'MTLArrayType', 'AVAudioUnitReverb', 'MKGeodesicPolyline', 'AVMutableComposition', 'NSLayoutConstraint', 'UIPrinter', 'NSOrderedSet', 'CBAttribute', 'PKPushPayload', 'NSIncrementalStoreNode', 'EKEventStore', 'MPRemoteCommandEvent', 'UISlider', 'UIBlurEffect', 'CKAsset', 'AVCaptureInput', 'AVAudioEngine', 'MTLVertexDescriptor', 'SKPhysicsBody', 'NSOperation', 'PKPaymentPass', 'UIImageAsset', 'MKMapCamera', 'SKProductsResponse', 'GLKEffectPropertyMaterial', 'AVCaptureDevice', 'CTCallCenter', 'CABTMIDILocalPeripheralViewController', 'NEVPNManager', 'HKQuery', 'SCNPhysicsContact', 'CBMutableService', 'AVSampleBufferDisplayLayer', 'SCNSceneSource', 'SKLightNode', 'CKDiscoveredUserInfo', 'NSMutableArray', 'MTLDepthStencilDescriptor', 'MTLArgument', 'NSMassFormatter', 'CIRectangleFeature', 'PKPushRegistry', 'NEVPNConnection', 'MCNearbyServiceBrowser', 'NSOperationQueue', 'MKPolylineRenderer', 'HKWorkout', 'NSValueTransformer', 'UICollectionViewFlowLayout', 'MPChangePlaybackRateCommandEvent', 'NSEntityMapping', 'SKTexture', 'NSMergePolicy', 'UITextInputStringTokenizer', 'NSRecursiveLock', 'AVAsset', 'NSUndoManager', 'AVAudioUnitSampler', 'NSItemProvider', 'SKUniform', 'MPMediaPickerController', 'CKOperation', 'MTLRenderPipelineDescriptor', 'EAWiFiUnconfiguredAccessory', 'NSFileCoordinator', 'SKRequest', 'NSFileHandle', 'NSConditionLock', 'UISegmentedControl', 'NSManagedObjectModel', 'UITabBarItem', 'SCNCone', 'MPMediaItem', 'SCNMaterial', 'EKRecurrenceRule', 'UIEvent', 'UITouch', 'UIPrintInteractionController', 'CMDeviceMotion', 'NEVPNProtocol', 'NSCompoundPredicate', 'HKHealthStore', 'MKMultiPoint', 'HKSampleType', 'UIPrintFormatter', 'AVAudioUnitEQFilterParameters', 'SKView', 'NSConstantString', 'UIPopoverController', 'CKDatabase', 'AVMetadataFaceObject', 'UIAccelerometer', 'EKEventViewController', 'CMAltitudeData', 'MTLStencilDescriptor', 'UISwipeGestureRecognizer', 'NSPort', 'MKCircleRenderer', 'AVCompositionTrack', 'NSAsynchronousFetchRequest', 'NSUbiquitousKeyValueStore', 'NSMetadataQueryResultGroup', 'AVAssetResourceLoadingDataRequest', 'UITableViewHeaderFooterView', 'CKNotificationID', 'AVAudioSession', 'HKUnit', 'NSNull', 'NSPersistentStoreResult', 'MKCircleView', 'AVAudioChannelLayout', 'NEVPNProtocolIKEv2', 'WKProcessPool', 'UIAttachmentBehavior', 'CLBeacon', 'NSInputStream', 'NSURLCache', 'GKPlayer', 'NSMappingModel', 'CIQRCodeFeature', 'AVMutableVideoComposition', 'PHFetchResult', 'NSAttributeDescription', 'AVPlayer', 'MKAnnotationView', 'PKPaymentRequest', 'NSTimer', 'CBDescriptor', 'MKOverlayView', 'AVAudioUnitTimePitch', 'NSSaveChangesRequest', 'UIReferenceLibraryViewController', 'SKPhysicsJointFixed', 'UILocalizedIndexedCollation', 'UIInterpolatingMotionEffect', 'UIDocumentPickerViewController', 'AVAssetWriter', 'NSBundle', 'SKStoreProductViewController', 'GLKViewController', 'NSMetadataQueryAttributeValueTuple', 'GKTurnBasedMatch', 'AVAudioFile', 'UIActivity', 'NSPipe', 'MKShape', 'NSMergeConflict', 'CIImage', 'HKObject', 'UIRotationGestureRecognizer', 'AVPlayerItemLegibleOutput', 'AVAssetImageGenerator', 'GCControllerButtonInput', 'CKMarkNotificationsReadOperation', 'CKSubscription', 'MPTimedMetadata', 'NKIssue', 'UIScreenMode', 'HMAccessoryBrowser', 'GKTurnBasedEventHandler', 'UIWebView', 'MKPolyline', 'JSVirtualMachine', 'AVAssetReader', 'NSAttributedString', 'GKMatchmakerViewController', 'NSCountedSet', 'UIButton', 'WKNavigationResponse', 'GKLocalPlayer', 'MPMovieErrorLog', 'AVSpeechUtterance', 'HKStatistics', 'UILocalNotification', 'HKBiologicalSexObject', 'AVURLAsset', 'CBPeripheral', 'NSDateComponentsFormatter', 'SKSpriteNode', 'UIAccessibilityElement', 'AVAssetWriterInputGroup', 'HMZone', 'AVAssetReaderAudioMixOutput', 'NSEnumerator', 'UIDocument', 'MKLocalSearchResponse', 'UISimpleTextPrintFormatter', 'PHPhotoLibrary', 'CBService', 'UIDocumentMenuViewController', 'MCSession', 'QLPreviewController', 'CAMediaTimingFunction', 'UITextPosition', 'ASIdentifierManager', 'AVAssetResourceLoadingRequest', 'SLComposeServiceViewController', 'UIPinchGestureRecognizer', 'PHObject', 'NSExtensionItem', 'HKSampleQuery', 'MTLRenderPipelineColorAttachmentDescriptorArray', 'MKRouteStep', 'SCNCapsule', 'NSMetadataQuery', 'AVAssetResourceLoadingContentInformationRequest', 'UITraitCollection', 'CTCarrier', 'NSFileSecurity', 'UIAcceleration', 'UIMotionEffect', 'MTLRenderPipelineReflection', 'CLHeading', 'CLVisit', 'MKDirectionsResponse', 'HMAccessory', 'MTLStructType', 'UITextView', 'CMMagnetometerData', 'UICollisionBehavior', 'UIProgressView', 'CKServerChangeToken', 'UISearchBar', 'MKPlacemark', 'AVCaptureConnection', 'NSPropertyMapping', 'ALAssetsFilter', 'SK3DNode', 'AVPlayerItemErrorLogEvent', 'NSJSONSerialization', 'AVAssetReaderVideoCompositionOutput', 'ABPersonViewController', 'CIDetector', 'GKTurnBasedMatchmakerViewController', 'MPMediaItemCollection', 'SCNSphere', 'NSCondition', 'NSURLCredential', 'MIDINetworkConnection', 'NSFileProviderExtension', 'NSDecimalNumberHandler', 'NSAtomicStoreCacheNode', 'NSAtomicStore', 'EKAlarm', 'CKNotificationInfo', 'AVAudioUnitEQ', 'UIPercentDrivenInteractiveTransition', 'MKPolygon', 'AVAssetTrackSegment', 'MTLVertexAttribute', 'NSExpressionDescription', 'HKStatisticsCollectionQuery', 'NSURLAuthenticationChallenge', 'NSDirectoryEnumerator', 'MKDistanceFormatter', 'UIAlertAction', 'NSPropertyListSerialization', 'GKPeerPickerController', 'UIUserNotificationSettings', 'UITableViewController', 'GKNotificationBanner', 'MKPointAnnotation', 'MTLRenderPassColorAttachmentDescriptorArray', 'NSCache', 'SKPhysicsJoint', 'NSXMLParser', 'UIViewController', 'PKPaymentToken', 'MFMessageComposeViewController', 'AVAudioInputNode', 'NSDataDetector', 'CABTMIDICentralViewController', 'AVAudioUnitMIDIInstrument', 'AVCaptureVideoPreviewLayer', 'AVAssetWriterInputPassDescription', 'MPChangePlaybackRateCommand', 'NSURLComponents', 'CAMetalLayer', 'UISnapBehavior', 'AVMetadataMachineReadableCodeObject', 'CKDiscoverUserInfosOperation', 'NSTextAttachment', 'NSException', 'UIMenuItem', 'CMMotionActivityManager', 'SCNGeometryElement', 'NCWidgetController', 'CAEmitterLayer', 'MKUserLocation', 'UIImagePickerController', 'CIFeature', 'AVCaptureDeviceInput', 'ALAsset', 'NSURLSessionDownloadTask', 'SCNPhysicsHingeJoint', 'MPMoviePlayerViewController', 'NSMutableOrderedSet', 'SCNMaterialProperty', 'UIFont', 'AVCaptureVideoDataOutput', 'NSCachedURLResponse', 'ALAssetsLibrary', 'NSInvocation', 'UILongPressGestureRecognizer', 'NSTextStorage', 'WKWebViewConfiguration', 'CIFaceFeature', 'MKMapSnapshot', 'GLKEffectPropertyFog', 'AVComposition', 'CKDiscoverAllContactsOperation', 'AVAudioMixInputParameters', 'CAEmitterBehavior', 'PKPassLibrary', 'UIMutableUserNotificationCategory', 'NSLock', 'NEVPNProtocolIPSec', 'ADBannerView', 'UIDocumentPickerExtensionViewController', 'UIActivityIndicatorView', 'AVPlayerMediaSelectionCriteria', 'CALayer', 'UIAccessibilityCustomAction', 'UIBarButtonItem', 'AVAudioSessionRouteDescription', 'CLBeaconRegion', 'HKBloodTypeObject', 'MTLVertexBufferLayoutDescriptorArray', 'CABasicAnimation', 'AVVideoCompositionInstruction', 'AVMutableTimedMetadataGroup', 'EKRecurrenceEnd', 'NSTextContainer', 'TWTweetComposeViewController', 'PKPaymentAuthorizationViewController', 'UIScrollView', 'WKNavigationAction', 'AVPlayerItemMetadataOutput', 'EKRecurrenceDayOfWeek', 'NSNumberFormatter', 'MTLComputePipelineReflection', 'UIScreen', 'CLRegion', 'NSProcessInfo', 'GLKTextureInfo', 'SCNSkinner', 'AVCaptureMetadataOutput', 'SCNAnimationEvent', 'NSTextTab', 'JSManagedValue', 'NSDate', 'UITextChecker', 'WKBackForwardListItem', 'NSData', 'NSParagraphStyle', 'AVMutableMetadataItem', 'EKCalendar', 'HKWorkoutEvent', 'NSMutableURLRequest', 'UIVideoEditorController', 'HMTimerTrigger', 'AVAudioUnitVarispeed', 'UIDynamicAnimator', 'AVCompositionTrackSegment', 'GCGamepadSnapshot', 'MPMediaEntity', 'GLKSkyboxEffect', 'UISwitch', 'EKStructuredLocation', 'UIGestureRecognizer', 'NSProxy', 'GLKBaseEffect', 'UIPushBehavior', 'GKScoreChallenge', 'NSCoder', 'MPMediaPlaylist', 'NSDateComponents', 'WKUserScript', 'EKEvent', 'NSDateFormatter', 'NSAsynchronousFetchResult', 'AVAssetWriterInputPixelBufferAdaptor', 'UIVisualEffect', 'UICollectionViewCell', 'UITextField', 'CLPlacemark', 'MPPlayableContentManager', 'AVCaptureOutput', 'HMCharacteristicWriteAction', 'CKModifySubscriptionsOperation', 'NSPropertyDescription', 'GCGamepad', 'UIMarkupTextPrintFormatter', 'SCNTube', 'NSPersistentStoreCoordinator', 'AVAudioEnvironmentNode', 'GKMatchmaker', 'CIContext', 'NSThread', 'SLComposeSheetConfigurationItem', 'SKPhysicsJointSliding', 'NSPredicate', 'GKVoiceChat', 'SKCropNode', 'AVCaptureAudioPreviewOutput', 'NSStringDrawingContext', 'GKGameCenterViewController', 'UIPrintPaper', 'SCNPhysicsBallSocketJoint', 'UICollectionViewLayoutInvalidationContext', 'GLKEffectPropertyTransform', 'AVAudioIONode', 'UIDatePicker', 'MKDirections', 'ALAssetsGroup', 'CKRecordZoneNotification', 'SCNScene', 'MPMovieAccessLogEvent', 'CKFetchSubscriptionsOperation', 'CAEmitterCell', 'AVAudioUnitTimeEffect', 'HMCharacteristicMetadata', 'MKPinAnnotationView', 'UIPickerView', 'UIImageView', 'UIUserNotificationCategory', 'SCNPhysicsVehicleWheel', 'HKCategoryType', 'MPMediaQuerySection', 'GKFriendRequestComposeViewController', 'NSError', 'MTLRenderPipelineColorAttachmentDescriptor', 'SCNPhysicsShape', 'UISearchController', 'SCNPhysicsBody', 'CTSubscriberInfo', 'AVPlayerItemAccessLog', 'MPMediaPropertyPredicate', 'CMLogItem', 'NSAutoreleasePool', 'NSSocketPort', 'AVAssetReaderTrackOutput', 'SKNode', 'UIMutableUserNotificationAction', 'SCNProgram', 'AVSpeechSynthesisVoice', 'CMAltimeter', 'AVCaptureAudioChannel', 'GKTurnBasedExchangeReply', 'AVVideoCompositionLayerInstruction', 'AVSpeechSynthesizer', 'GKChallengeEventHandler', 'AVCaptureFileOutput', 'UIControl', 'SCNPhysicsField', 'CKReference', 'LAContext', 'CKRecordID', 'ADInterstitialAd', 'AVAudioSessionDataSourceDescription', 'AVAudioBuffer', 'CIColorKernel', 'GCControllerDirectionPad', 'NSFileManager', 'AVMutableAudioMixInputParameters', 'UIScreenEdgePanGestureRecognizer', 'CAKeyframeAnimation', 'CKQueryNotification', 'PHAdjustmentData', 'EASession', 'AVAssetResourceRenewalRequest', 'UIInputView', 'NSFileWrapper', 'UIResponder', 'NSPointerFunctions', 'UIKeyCommand', 'NSHTTPCookieStorage', 'AVMediaSelectionOption', 'NSRunLoop', 'NSFileAccessIntent', 'CAAnimationGroup', 'MKCircle', 'UIAlertController', 'NSMigrationManager', 'NSDateIntervalFormatter', 'UICollectionViewUpdateItem', 'CKDatabaseOperation', 'PHImageRequestOptions', 'SKReachConstraints', 'CKRecord', 'CAInterAppAudioSwitcherView', 'WKWindowFeatures', 'GKInvite', 'NSMutableData', 'PHAssetCollectionChangeRequest', 'NSMutableParagraphStyle', 'UIDynamicBehavior', 'GLKEffectProperty', 'CKFetchRecordChangesOperation', 'SKShapeNode', 'MPMovieErrorLogEvent', 'MKPolygonView', 'MPContentItem', 'HMAction', 'NSScanner', 'GKAchievementChallenge', 'AVAudioPlayer', 'CKContainer', 'AVVideoComposition', 'NKLibrary', 'NSPersistentStore', 'AVCaptureMovieFileOutput', 'HMRoom', 'GKChallenge', 'UITextRange', 'NSURLProtectionSpace', 'ACAccountStore', 'MPSkipIntervalCommand', 'NSComparisonPredicate', 'HMHome', 'PHVideoRequestOptions', 'NSOutputStream', 'MPSkipIntervalCommandEvent', 'PKAddPassesViewController', 'UITextSelectionRect', 'CTTelephonyNetworkInfo', 'AVTextStyleRule', 'NSFetchedPropertyDescription', 'UIPageViewController', 'CATransformLayer', 'UICollectionViewController', 'AVAudioNode', 'MCNearbyServiceAdvertiser', 'NSObject', 'PHAsset', 'GKLeaderboardViewController', 'CKQueryCursor', 'MPMusicPlayerController', 'MKOverlayPathRenderer', 'CMPedometerData', 'HMService', 'SKFieldNode', 'GKAchievement', 'WKUserContentController', 'AVAssetTrack', 'TWRequest', 'SKLabelNode', 'AVCaptureBracketedStillImageSettings', 'MIDINetworkHost', 'MPMediaPredicate', 'AVFrameRateRange', 'MTLTextureDescriptor', 'MTLVertexBufferLayoutDescriptor', 'MPFeedbackCommandEvent', 'UIUserNotificationAction', 'HKStatisticsQuery', 'SCNParticleSystem', 'NSIndexPath', 'AVVideoCompositionRenderContext', 'CADisplayLink', 'HKObserverQuery', 'UIPopoverPresentationController', 'CKQueryOperation', 'CAEAGLLayer', 'NSMutableString', 'NSMessagePort', 'NSURLQueryItem', 'MTLStructMember', 'AVAudioSessionChannelDescription', 'GLKView', 'UIActivityViewController', 'GKAchievementViewController', 'GKTurnBasedParticipant', 'NSURLProtocol', 'NSUserDefaults', 'NSCalendar', 'SKKeyframeSequence', 'AVMetadataItemFilter', 'CKModifyRecordZonesOperation', 'WKPreferences', 'NSMethodSignature', 'NSRegularExpression', 'EAGLSharegroup', 'AVPlayerItemVideoOutput', 'PHContentEditingInputRequestOptions', 'GKMatch', 'CIColor', 'UIDictationPhrase']) +COCOA_PROTOCOLS = set(['SKStoreProductViewControllerDelegate', 'AVVideoCompositionInstruction', 'AVAudioSessionDelegate', 'GKMatchDelegate', 'NSFileManagerDelegate', 'UILayoutSupport', 'NSCopying', 'UIPrintInteractionControllerDelegate', 'QLPreviewControllerDataSource', 'SKProductsRequestDelegate', 'NSTextStorageDelegate', 'MCBrowserViewControllerDelegate', 'MTLComputeCommandEncoder', 'SCNSceneExportDelegate', 'UISearchResultsUpdating', 'MFMailComposeViewControllerDelegate', 'MTLBlitCommandEncoder', 'NSDecimalNumberBehaviors', 'PHContentEditingController', 'NSMutableCopying', 'UIActionSheetDelegate', 'UIViewControllerTransitioningDelegate', 'UIAlertViewDelegate', 'AVAudioPlayerDelegate', 'MKReverseGeocoderDelegate', 'NSCoding', 'UITextInputTokenizer', 'GKFriendRequestComposeViewControllerDelegate', 'UIActivityItemSource', 'NSCacheDelegate', 'UIAdaptivePresentationControllerDelegate', 'GKAchievementViewControllerDelegate', 'UIViewControllerTransitionCoordinator', 'EKEventEditViewDelegate', 'NSURLConnectionDelegate', 'UITableViewDelegate', 'GKPeerPickerControllerDelegate', 'UIGuidedAccessRestrictionDelegate', 'AVSpeechSynthesizerDelegate', 'AVAudio3DMixing', 'AVPlayerItemLegibleOutputPushDelegate', 'ADInterstitialAdDelegate', 'HMAccessoryBrowserDelegate', 'AVAssetResourceLoaderDelegate', 'UITabBarControllerDelegate', 'CKRecordValue', 'SKPaymentTransactionObserver', 'AVCaptureAudioDataOutputSampleBufferDelegate', 'UIInputViewAudioFeedback', 'GKChallengeListener', 'SKSceneDelegate', 'UIPickerViewDelegate', 'UIWebViewDelegate', 'UIApplicationDelegate', 'GKInviteEventListener', 'MPMediaPlayback', 'MyClassJavaScriptMethods', 'AVAsynchronousKeyValueLoading', 'QLPreviewItem', 'SCNBoundingVolume', 'NSPortDelegate', 'UIContentContainer', 'SCNNodeRendererDelegate', 'SKRequestDelegate', 'SKPhysicsContactDelegate', 'HMAccessoryDelegate', 'UIPageViewControllerDataSource', 'SCNSceneRendererDelegate', 'SCNPhysicsContactDelegate', 'MKMapViewDelegate', 'AVPlayerItemOutputPushDelegate', 'UICollectionViewDelegate', 'UIImagePickerControllerDelegate', 'MTLRenderCommandEncoder', 'PKPaymentAuthorizationViewControllerDelegate', 'UIToolbarDelegate', 'WKUIDelegate', 'SCNActionable', 'NSURLConnectionDataDelegate', 'MKOverlay', 'CBCentralManagerDelegate', 'JSExport', 'NSTextLayoutOrientationProvider', 'UIPickerViewDataSource', 'PKPushRegistryDelegate', 'UIViewControllerTransitionCoordinatorContext', 'NSLayoutManagerDelegate', 'MTLLibrary', 'NSFetchedResultsControllerDelegate', 'ABPeoplePickerNavigationControllerDelegate', 'MTLResource', 'NSDiscardableContent', 'UITextFieldDelegate', 'MTLBuffer', 'MTLSamplerState', 'GKGameCenterControllerDelegate', 'MPMediaPickerControllerDelegate', 'UISplitViewControllerDelegate', 'UIAppearance', 'UIPickerViewAccessibilityDelegate', 'UITraitEnvironment', 'UIScrollViewAccessibilityDelegate', 'ADBannerViewDelegate', 'MPPlayableContentDataSource', 'MTLComputePipelineState', 'NSURLSessionDelegate', 'MTLCommandBuffer', 'NSXMLParserDelegate', 'UIViewControllerRestoration', 'UISearchBarDelegate', 'UIBarPositioning', 'CBPeripheralDelegate', 'UISearchDisplayDelegate', 'CAAction', 'PKAddPassesViewControllerDelegate', 'MCNearbyServiceAdvertiserDelegate', 'MTLDepthStencilState', 'GKTurnBasedMatchmakerViewControllerDelegate', 'MPPlayableContentDelegate', 'AVCaptureVideoDataOutputSampleBufferDelegate', 'UIAppearanceContainer', 'UIStateRestoring', 'UITextDocumentProxy', 'MTLDrawable', 'NSURLSessionTaskDelegate', 'NSFilePresenter', 'AVAudioStereoMixing', 'UIViewControllerContextTransitioning', 'UITextInput', 'CBPeripheralManagerDelegate', 'UITextInputDelegate', 'NSFastEnumeration', 'NSURLAuthenticationChallengeSender', 'SCNProgramDelegate', 'AVVideoCompositing', 'SCNAnimatable', 'NSSecureCoding', 'MCAdvertiserAssistantDelegate', 'GKLocalPlayerListener', 'GLKNamedEffect', 'UIPopoverControllerDelegate', 'AVCaptureMetadataOutputObjectsDelegate', 'NSExtensionRequestHandling', 'UITextSelecting', 'UIPrinterPickerControllerDelegate', 'NCWidgetProviding', 'MTLCommandEncoder', 'NSURLProtocolClient', 'MFMessageComposeViewControllerDelegate', 'UIVideoEditorControllerDelegate', 'WKNavigationDelegate', 'GKSavedGameListener', 'UITableViewDataSource', 'MTLFunction', 'EKCalendarChooserDelegate', 'NSUserActivityDelegate', 'UICollisionBehaviorDelegate', 'NSStreamDelegate', 'MCNearbyServiceBrowserDelegate', 'HMHomeDelegate', 'UINavigationControllerDelegate', 'MCSessionDelegate', 'UIDocumentPickerDelegate', 'UIViewControllerInteractiveTransitioning', 'GKTurnBasedEventListener', 'SCNSceneRenderer', 'MTLTexture', 'GLKViewDelegate', 'EAAccessoryDelegate', 'WKScriptMessageHandler', 'PHPhotoLibraryChangeObserver', 'NSKeyedUnarchiverDelegate', 'AVPlayerItemMetadataOutputPushDelegate', 'NSMachPortDelegate', 'SCNShadable', 'UIPopoverBackgroundViewMethods', 'UIDocumentMenuDelegate', 'UIBarPositioningDelegate', 'ABPersonViewControllerDelegate', 'NSNetServiceBrowserDelegate', 'EKEventViewDelegate', 'UIScrollViewDelegate', 'NSURLConnectionDownloadDelegate', 'UIGestureRecognizerDelegate', 'UINavigationBarDelegate', 'AVAudioMixing', 'NSFetchedResultsSectionInfo', 'UIDocumentInteractionControllerDelegate', 'MTLParallelRenderCommandEncoder', 'QLPreviewControllerDelegate', 'UIAccessibilityReadingContent', 'ABUnknownPersonViewControllerDelegate', 'GLKViewControllerDelegate', 'UICollectionViewDelegateFlowLayout', 'UIPopoverPresentationControllerDelegate', 'UIDynamicAnimatorDelegate', 'NSTextAttachmentContainer', 'MKAnnotation', 'UIAccessibilityIdentification', 'UICoordinateSpace', 'ABNewPersonViewControllerDelegate', 'MTLDevice', 'CAMediaTiming', 'AVCaptureFileOutputRecordingDelegate', 'HMHomeManagerDelegate', 'UITextViewDelegate', 'UITabBarDelegate', 'GKLeaderboardViewControllerDelegate', 'UISearchControllerDelegate', 'EAWiFiUnconfiguredAccessoryBrowserDelegate', 'UITextInputTraits', 'MTLRenderPipelineState', 'GKVoiceChatClient', 'UIKeyInput', 'UICollectionViewDataSource', 'SCNTechniqueSupport', 'NSLocking', 'AVCaptureFileOutputDelegate', 'GKChallengeEventHandlerDelegate', 'UIObjectRestoration', 'CIFilterConstructor', 'AVPlayerItemOutputPullDelegate', 'EAGLDrawable', 'AVVideoCompositionValidationHandling', 'UIViewControllerAnimatedTransitioning', 'NSURLSessionDownloadDelegate', 'UIAccelerometerDelegate', 'UIPageViewControllerDelegate', 'MTLCommandQueue', 'UIDataSourceModelAssociation', 'AVAudioRecorderDelegate', 'GKSessionDelegate', 'NSKeyedArchiverDelegate', 'CAMetalDrawable', 'UIDynamicItem', 'CLLocationManagerDelegate', 'NSMetadataQueryDelegate', 'NSNetServiceDelegate', 'GKMatchmakerViewControllerDelegate', 'NSURLSessionDataDelegate']) +COCOA_PRIMITIVES = set(['ROTAHeader', '__CFBundle', 'MortSubtable', 'AudioFilePacketTableInfo', 'CGPDFOperatorTable', 'KerxStateEntry', 'ExtendedTempoEvent', 'CTParagraphStyleSetting', 'OpaqueMIDIPort', '_GLKMatrix3', '_GLKMatrix2', '_GLKMatrix4', 'ExtendedControlEvent', 'CAFAudioDescription', 'OpaqueCMBlockBuffer', 'CGTextDrawingMode', 'EKErrorCode', 'gss_buffer_desc_struct', 'AudioUnitParameterInfo', '__SCPreferences', '__CTFrame', '__CTLine', 'AudioFile_SMPTE_Time', 'gss_krb5_lucid_context_v1', 'OpaqueJSValue', 'TrakTableEntry', 'AudioFramePacketTranslation', 'CGImageSource', 'OpaqueJSPropertyNameAccumulator', 'JustPCGlyphRepeatAddAction', '__CFBinaryHeap', 'OpaqueMIDIThruConnection', 'opaqueCMBufferQueue', 'OpaqueMusicSequence', 'MortRearrangementSubtable', 'MixerDistanceParams', 'MorxSubtable', 'MIDIObjectPropertyChangeNotification', 'SFNTLookupSegment', 'CGImageMetadataErrors', 'CGPath', 'OpaqueMIDIEndpoint', 'AudioComponentPlugInInterface', 'gss_ctx_id_t_desc_struct', 'sfntFontFeatureSetting', 'OpaqueJSContextGroup', '__SCNetworkConnection', 'AudioUnitParameterValueTranslation', 'CGImageMetadataType', 'CGPattern', 'AudioFileTypeAndFormatID', 'CGContext', 'AUNodeInteraction', 'SFNTLookupTable', 'JustPCDecompositionAction', 'KerxControlPointHeader', 'AudioStreamPacketDescription', 'KernSubtableHeader', '__SecCertificate', 'AUMIDIOutputCallbackStruct', 'MIDIMetaEvent', 'AudioQueueChannelAssignment', 'AnchorPoint', 'JustTable', '__CFNetService', 'CF_BRIDGED_TYPE', 'gss_krb5_lucid_key', 'CGPDFDictionary', 'KerxSubtableHeader', 'CAF_UUID_ChunkHeader', 'gss_krb5_cfx_keydata', 'OpaqueJSClass', 'CGGradient', 'OpaqueMIDISetup', 'JustPostcompTable', '__CTParagraphStyle', 'AudioUnitParameterHistoryInfo', 'OpaqueJSContext', 'CGShading', 'MIDIThruConnectionParams', 'BslnFormat0Part', 'SFNTLookupSingle', '__CFHost', '__SecRandom', '__CTFontDescriptor', '_NSRange', 'sfntDirectory', 'AudioQueueLevelMeterState', 'CAFPositionPeak', 'PropLookupSegment', '__CVOpenGLESTextureCache', 'sfntInstance', '_GLKQuaternion', 'AnkrTable', '__SCNetworkProtocol', 'CAFFileHeader', 'KerxOrderedListHeader', 'CGBlendMode', 'STXEntryOne', 'CAFRegion', 'SFNTLookupTrimmedArrayHeader', 'SCNMatrix4', 'KerxControlPointEntry', 'OpaqueMusicTrack', '_GLKVector4', 'gss_OID_set_desc_struct', 'OpaqueMusicPlayer', '_CFHTTPAuthentication', 'CGAffineTransform', 'CAFMarkerChunk', 'AUHostIdentifier', 'ROTAGlyphEntry', 'BslnTable', 'gss_krb5_lucid_context_version', '_GLKMatrixStack', 'CGImage', 'KernStateEntry', 'SFNTLookupSingleHeader', 'MortLigatureSubtable', 'CAFUMIDChunk', 'SMPTETime', 'CAFDataChunk', 'CGPDFStream', 'AudioFileRegionList', 'STEntryTwo', 'SFNTLookupBinarySearchHeader', 'OpbdTable', '__CTGlyphInfo', 'BslnFormat2Part', 'KerxIndexArrayHeader', 'TrakTable', 'KerxKerningPair', '__CFBitVector', 'KernVersion0SubtableHeader', 'OpaqueAudioComponentInstance', 'AudioChannelLayout', '__CFUUID', 'MIDISysexSendRequest', '__CFNumberFormatter', 'CGImageSourceStatus', 'AudioFileMarkerList', 'AUSamplerBankPresetData', 'CGDataProvider', 'AudioFormatInfo', '__SecIdentity', 'sfntCMapExtendedSubHeader', 'MIDIChannelMessage', 'KernOffsetTable', 'CGColorSpaceModel', 'MFMailComposeErrorCode', 'CGFunction', '__SecTrust', 'AVAudio3DAngularOrientation', 'CGFontPostScriptFormat', 'KernStateHeader', 'AudioUnitCocoaViewInfo', 'CGDataConsumer', 'OpaqueMIDIDevice', 'KernVersion0Header', 'AnchorPointTable', 'CGImageDestination', 'CAFInstrumentChunk', 'AudioUnitMeterClipping', 'MorxChain', '__CTFontCollection', 'STEntryOne', 'STXEntryTwo', 'ExtendedNoteOnEvent', 'CGColorRenderingIntent', 'KerxSimpleArrayHeader', 'MorxTable', '_GLKVector3', '_GLKVector2', 'MortTable', 'CGPDFBox', 'AudioUnitParameterValueFromString', '__CFSocket', 'ALCdevice_struct', 'MIDINoteMessage', 'sfntFeatureHeader', 'CGRect', '__SCNetworkInterface', '__CFTree', 'MusicEventUserData', 'TrakTableData', 'GCQuaternion', 'MortContextualSubtable', '__CTRun', 'AudioUnitFrequencyResponseBin', 'MortChain', 'MorxInsertionSubtable', 'CGImageMetadata', 'gss_auth_identity', 'AudioUnitMIDIControlMapping', 'CAFChunkHeader', 'CGImagePropertyOrientation', 'CGPDFScanner', 'OpaqueMusicEventIterator', 'sfntDescriptorHeader', 'AudioUnitNodeConnection', 'OpaqueMIDIDeviceList', 'ExtendedAudioFormatInfo', 'BslnFormat1Part', 'sfntFontDescriptor', 'KernSimpleArrayHeader', '__CFRunLoopObserver', 'CGPatternTiling', 'MIDINotification', 'MorxLigatureSubtable', 'MessageComposeResult', 'MIDIThruConnectionEndpoint', 'MusicDeviceStdNoteParams', 'opaqueCMSimpleQueue', 'ALCcontext_struct', 'OpaqueAudioQueue', 'PropLookupSingle', 'CGInterpolationQuality', 'CGColor', 'AudioOutputUnitStartAtTimeParams', 'gss_name_t_desc_struct', 'CGFunctionCallbacks', 'CAFPacketTableHeader', 'AudioChannelDescription', 'sfntFeatureName', 'MorxContextualSubtable', 'CVSMPTETime', 'AudioValueRange', 'CGTextEncoding', 'AudioStreamBasicDescription', 'AUNodeRenderCallback', 'AudioPanningInfo', 'KerxOrderedListEntry', '__CFAllocator', 'OpaqueJSPropertyNameArray', '__SCDynamicStore', 'OpaqueMIDIEntity', '__CTRubyAnnotation', 'SCNVector4', 'CFHostClientContext', 'CFNetServiceClientContext', 'AudioUnitPresetMAS_SettingData', 'opaqueCMBufferQueueTriggerToken', 'AudioUnitProperty', 'CAFRegionChunk', 'CGPDFString', '__GLsync', '__CFStringTokenizer', 'JustWidthDeltaEntry', 'sfntVariationAxis', '__CFNetDiagnostic', 'CAFOverviewSample', 'sfntCMapEncoding', 'CGVector', '__SCNetworkService', 'opaqueCMSampleBuffer', 'AUHostVersionIdentifier', 'AudioBalanceFade', 'sfntFontRunFeature', 'KerxCoordinateAction', 'sfntCMapSubHeader', 'CVPlanarPixelBufferInfo', 'AUNumVersion', 'AUSamplerInstrumentData', 'AUPreset', '__CTRunDelegate', 'OpaqueAudioQueueProcessingTap', 'KerxTableHeader', '_NSZone', 'OpaqueExtAudioFile', '__CFRunLoopSource', '__CVMetalTextureCache', 'KerxAnchorPointAction', 'OpaqueJSString', 'AudioQueueParameterEvent', '__CFHTTPMessage', 'OpaqueCMClock', 'ScheduledAudioFileRegion', 'STEntryZero', 'AVAudio3DPoint', 'gss_channel_bindings_struct', 'sfntVariationHeader', 'AUChannelInfo', 'UIOffset', 'GLKEffectPropertyPrv', 'KerxStateHeader', 'CGLineJoin', 'CGPDFDocument', '__CFBag', 'KernOrderedListHeader', '__SCNetworkSet', '__SecKey', 'MIDIObjectAddRemoveNotification', 'AudioUnitParameter', 'JustPCActionSubrecord', 'AudioComponentDescription', 'AudioUnitParameterValueName', 'AudioUnitParameterEvent', 'KerxControlPointAction', 'AudioTimeStamp', 'KernKerningPair', 'gss_buffer_set_desc_struct', 'MortFeatureEntry', 'FontVariation', 'CAFStringID', 'LcarCaretClassEntry', 'AudioUnitParameterStringFromValue', 'ACErrorCode', 'ALMXGlyphEntry', 'LtagTable', '__CTTypesetter', 'AuthorizationOpaqueRef', 'UIEdgeInsets', 'CGPathElement', 'CAFMarker', 'KernTableHeader', 'NoteParamsControlValue', 'SSLContext', 'gss_cred_id_t_desc_struct', 'AudioUnitParameterNameInfo', 'CGDataConsumerCallbacks', 'ALMXHeader', 'CGLineCap', 'MIDIControlTransform', 'CGPDFArray', '__SecPolicy', 'AudioConverterPrimeInfo', '__CTTextTab', '__CFNetServiceMonitor', 'AUInputSamplesInOutputCallbackStruct', '__CTFramesetter', 'CGPDFDataFormat', 'STHeader', 'CVPlanarPixelBufferInfo_YCbCrPlanar', 'MIDIValueMap', 'JustDirectionTable', '__SCBondStatus', 'SFNTLookupSegmentHeader', 'OpaqueCMMemoryPool', 'CGPathDrawingMode', 'CGFont', '__SCNetworkReachability', 'AudioClassDescription', 'CGPoint', 'AVAudio3DVectorOrientation', 'CAFStrings', '__CFNetServiceBrowser', 'opaqueMTAudioProcessingTap', 'sfntNameRecord', 'CGPDFPage', 'CGLayer', 'ComponentInstanceRecord', 'CAFInfoStrings', 'HostCallbackInfo', 'MusicDeviceNoteParams', 'OpaqueVTCompressionSession', 'KernIndexArrayHeader', 'CVPlanarPixelBufferInfo_YCbCrBiPlanar', 'MusicTrackLoopInfo', 'opaqueCMFormatDescription', 'STClassTable', 'sfntDirectoryEntry', 'OpaqueCMTimebase', 'CGDataProviderDirectCallbacks', 'MIDIPacketList', 'CAFOverviewChunk', 'MIDIPacket', 'ScheduledAudioSlice', 'CGDataProviderSequentialCallbacks', 'AudioBuffer', 'MorxRearrangementSubtable', 'CGPatternCallbacks', 'AUDistanceAttenuationData', 'MIDIIOErrorNotification', 'CGPDFContentStream', 'IUnknownVTbl', 'MIDITransform', 'MortInsertionSubtable', 'CABarBeatTime', 'AudioBufferList', '__CVBuffer', 'AURenderCallbackStruct', 'STXEntryZero', 'JustPCDuctilityAction', 'OpaqueAudioQueueTimeline', 'VTDecompressionOutputCallbackRecord', 'OpaqueMIDIClient', '__CFPlugInInstance', 'AudioQueueBuffer', '__CFFileDescriptor', 'AudioUnitConnection', '_GKTurnBasedExchangeStatus', 'LcarCaretTable', 'CVPlanarComponentInfo', 'JustWidthDeltaGroup', 'OpaqueAudioComponent', 'ParameterEvent', '__CVPixelBufferPool', '__CTFont', 'CGColorSpace', 'CGSize', 'AUDependentParameter', 'MIDIDriverInterface', 'gss_krb5_rfc1964_keydata', '__CFDateFormatter', 'LtagStringRange', 'OpaqueVTDecompressionSession', 'gss_iov_buffer_desc_struct', 'AUPresetEvent', 'PropTable', 'KernOrderedListEntry', 'CF_BRIDGED_MUTABLE_TYPE', 'gss_OID_desc_struct', 'AudioUnitPresetMAS_Settings', 'AudioFileMarker', 'JustPCConditionalAddAction', 'BslnFormat3Part', '__CFNotificationCenter', 'MortSwashSubtable', 'AUParameterMIDIMapping', 'SCNVector3', 'OpaqueAudioConverter', 'MIDIRawData', 'sfntNameHeader', '__CFRunLoop', 'MFMailComposeResult', 'CATransform3D', 'OpbdSideValues', 'CAF_SMPTE_Time', '__SecAccessControl', 'JustPCAction', 'OpaqueVTFrameSilo', 'OpaqueVTMultiPassStorage', 'CGPathElementType', 'AudioFormatListItem', 'AudioUnitExternalBuffer', 'AudioFileRegion', 'AudioValueTranslation', 'CGImageMetadataTag', 'CAFPeakChunk', 'AudioBytePacketTranslation', 'sfntCMapHeader', '__CFURLEnumerator', 'STXHeader', 'CGPDFObjectType', 'SFNTLookupArrayHeader']) + +if __name__ == '__main__': # pragma: no cover + import os + import re + + FRAMEWORKS_PATH = '/Applications/Xcode.app/Contents/Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS8.1.sdk/System/Library/Frameworks/' + frameworks = os.listdir(FRAMEWORKS_PATH) + + all_interfaces = set() + all_protocols = set() + all_primitives = set() + for framework in frameworks: + frameworkHeadersDir = FRAMEWORKS_PATH + framework + '/Headers/' + if not os.path.exists(frameworkHeadersDir): + continue + + headerFilenames = os.listdir(frameworkHeadersDir) + + for f in headerFilenames: + if not f.endswith('.h'): + continue + + headerFilePath = frameworkHeadersDir + f + content = open(headerFilePath).read() + res = re.findall('(?<=@interface )\w+', content) + for r in res: + all_interfaces.add(r) + + res = re.findall('(?<=@protocol )\w+', content) + for r in res: + all_protocols.add(r) + + res = re.findall('(?<=typedef enum )\w+', content) + for r in res: + all_primitives.add(r) + + res = re.findall('(?<=typedef struct )\w+', content) + for r in res: + all_primitives.add(r) + + res = re.findall('(?<=typedef const struct )\w+', content) + for r in res: + all_primitives.add(r) + + + print("ALL interfaces: \n") + print(all_interfaces) + + print("\nALL protocols: \n") + print(all_protocols) + + print("\nALL primitives: \n") + print(all_primitives) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_csound_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_csound_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..e5a9aaf758621ee11c092d427f546b401f77383c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_csound_builtins.py @@ -0,0 +1,1346 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._csound_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +# Opcodes in Csound 6.05 from +# csound --list-opcodes +# except +# cggoto +# cigoto +# cingoto (undocumented) +# ckgoto +# cngoto +# endin +# igoto +# instr +# kgoto +# loop_ge +# loop_gt +# loop_le +# loop_lt +# opcode +# return +# rigoto +# tigoto +# timout +# which are treated as keywords; the scoreline opcodes +# scoreline +# scoreline_i +# which allow Csound Score highlighting; the pyrun opcodes +# +# pylrun +# pylruni +# pylrunt +# pyrun +# pyruni +# pyrunt +# which allow Python highlighting; and the Lua opcodes +# lua_exec +# lua_opdef +# which allow Lua highlighting. +OPCODES = set(( + 'ATSadd', + 'ATSaddnz', + 'ATSbufread', + 'ATScross', + 'ATSinfo', + 'ATSinterpread', + 'ATSpartialtap', + 'ATSread', + 'ATSreadnz', + 'ATSsinnoi', + 'FLbox', + 'FLbutBank', + 'FLbutton', + 'FLcloseButton', + 'FLcolor', + 'FLcolor2', + 'FLcount', + 'FLexecButton', + 'FLgetsnap', + 'FLgroup', + 'FLgroupEnd', + 'FLgroup_end', + 'FLhide', + 'FLhvsBox', + 'FLhvsBoxSetValue', + 'FLjoy', + 'FLkeyIn', + 'FLknob', + 'FLlabel', + 'FLloadsnap', + 'FLmouse', + 'FLpack', + 'FLpackEnd', + 'FLpack_end', + 'FLpanel', + 'FLpanelEnd', + 'FLpanel_end', + 'FLprintk', + 'FLprintk2', + 'FLroller', + 'FLrun', + 'FLsavesnap', + 'FLscroll', + 'FLscrollEnd', + 'FLscroll_end', + 'FLsetAlign', + 'FLsetBox', + 'FLsetColor', + 'FLsetColor2', + 'FLsetFont', + 'FLsetPosition', + 'FLsetSize', + 'FLsetSnapGroup', + 'FLsetText', + 'FLsetTextColor', + 'FLsetTextSize', + 'FLsetTextType', + 'FLsetVal', + 'FLsetVal_i', + 'FLsetVali', + 'FLsetsnap', + 'FLshow', + 'FLslidBnk', + 'FLslidBnk2', + 'FLslidBnk2Set', + 'FLslidBnk2Setk', + 'FLslidBnkGetHandle', + 'FLslidBnkSet', + 'FLslidBnkSetk', + 'FLslider', + 'FLtabs', + 'FLtabsEnd', + 'FLtabs_end', + 'FLtext', + 'FLupdate', + 'FLvalue', + 'FLvkeybd', + 'FLvslidBnk', + 'FLvslidBnk2', + 'FLxyin', + 'MixerClear', + 'MixerGetLevel', + 'MixerReceive', + 'MixerSend', + 'MixerSetLevel', + 'MixerSetLevel_i', + 'OSCinit', + 'OSClisten', + 'OSCsend', + 'a', + 'abs', + 'active', + 'adsr', + 'adsyn', + 'adsynt', + 'adsynt2', + 'aftouch', + 'alpass', + 'alwayson', + 'ampdb', + 'ampdbfs', + 'ampmidi', + 'ampmidid', + 'areson', + 'aresonk', + 'array', + 'atone', + 'atonek', + 'atonex', + 'babo', + 'balance', + 'bamboo', + 'barmodel', + 'bbcutm', + 'bbcuts', + 'betarand', + 'bexprnd', + 'bformdec', + 'bformdec1', + 'bformenc', + 'bformenc1', + 'binit', + 'biquad', + 'biquada', + 'birnd', + 'bqrez', + 'buchla', + 'butbp', + 'butbr', + 'buthp', + 'butlp', + 'butterbp', + 'butterbr', + 'butterhp', + 'butterlp', + 'button', + 'buzz', + 'c2r', + 'cabasa', + 'cauchy', + 'cauchyi', + 'ceil', + 'cell', + 'cent', + 'centroid', + 'ceps', + #'cggoto', + 'chanctrl', + 'changed', + 'chani', + 'chano', + 'chebyshevpoly', + 'checkbox', + 'chn_S', + 'chn_a', + 'chn_k', + 'chnclear', + 'chnexport', + 'chnget', + 'chnmix', + 'chnparams', + 'chnset', + 'chuap', + #'cigoto', + #'cingoto', + #'ckgoto', + 'clear', + 'clfilt', + 'clip', + 'clockoff', + 'clockon', + 'cmplxprod', + #'cngoto', + 'comb', + 'combinv', + 'compilecsd', + 'compileorc', + 'compilestr', + 'compress', + 'connect', + 'control', + 'convle', + 'convolve', + 'copy2ftab', + 'copy2ttab', + 'copya2ftab', + 'copyf2array', + 'cos', + 'cosh', + 'cosinv', + 'cosseg', + 'cossegb', + 'cossegr', + 'cps2pch', + 'cpsmidi', + 'cpsmidib', + 'cpsmidinn', + 'cpsoct', + 'cpspch', + 'cpstmid', + 'cpstun', + 'cpstuni', + 'cpsxpch', + 'cpuprc', + 'cross2', + 'crossfm', + 'crossfmi', + 'crossfmpm', + 'crossfmpmi', + 'crosspm', + 'crosspmi', + 'crunch', + 'ctlchn', + 'ctrl14', + 'ctrl21', + 'ctrl7', + 'ctrlinit', + 'cuserrnd', + 'dam', + 'date', + 'dates', + 'db', + 'dbamp', + 'dbfsamp', + 'dcblock', + 'dcblock2', + 'dconv', + 'delay', + 'delay1', + 'delayk', + 'delayr', + 'delayw', + 'deltap', + 'deltap3', + 'deltapi', + 'deltapn', + 'deltapx', + 'deltapxw', + 'denorm', + 'diff', + 'diskgrain', + 'diskin', + 'diskin2', + 'dispfft', + 'display', + 'distort', + 'distort1', + 'divz', + 'doppler', + 'downsamp', + 'dripwater', + 'dumpk', + 'dumpk2', + 'dumpk3', + 'dumpk4', + 'duserrnd', + 'dust', + 'dust2', + #'endin', + #'endop', + 'envlpx', + 'envlpxr', + 'ephasor', + 'eqfil', + 'evalstr', + 'event', + 'event_i', + 'exciter', + 'exitnow', + 'exp', + 'expcurve', + 'expon', + 'exprand', + 'exprandi', + 'expseg', + 'expsega', + 'expsegb', + 'expsegba', + 'expsegr', + 'fareylen', + 'fareyleni', + 'faustaudio', + 'faustcompile', + 'faustctl', + 'faustgen', + 'fft', + 'fftinv', + 'ficlose', + 'filebit', + 'filelen', + 'filenchnls', + 'filepeak', + 'filesr', + 'filevalid', + 'fillarray', + 'filter2', + 'fin', + 'fini', + 'fink', + 'fiopen', + 'flanger', + 'flashtxt', + 'flooper', + 'flooper2', + 'floor', + 'fluidAllOut', + 'fluidCCi', + 'fluidCCk', + 'fluidControl', + 'fluidEngine', + 'fluidLoad', + 'fluidNote', + 'fluidOut', + 'fluidProgramSelect', + 'fluidSetInterpMethod', + 'fmb3', + 'fmbell', + 'fmmetal', + 'fmpercfl', + 'fmrhode', + 'fmvoice', + 'fmwurlie', + 'fof', + 'fof2', + 'fofilter', + 'fog', + 'fold', + 'follow', + 'follow2', + 'foscil', + 'foscili', + 'fout', + 'fouti', + 'foutir', + 'foutk', + 'fprintks', + 'fprints', + 'frac', + 'fractalnoise', + 'freeverb', + 'ftchnls', + 'ftconv', + 'ftcps', + 'ftfree', + 'ftgen', + 'ftgenonce', + 'ftgentmp', + 'ftlen', + 'ftload', + 'ftloadk', + 'ftlptim', + 'ftmorf', + 'ftresize', + 'ftresizei', + 'ftsave', + 'ftsavek', + 'ftsr', + 'gain', + 'gainslider', + 'gauss', + 'gaussi', + 'gausstrig', + 'gbuzz', + 'genarray', + 'genarray_i', + 'gendy', + 'gendyc', + 'gendyx', + 'getcfg', + 'getcol', + 'getrow', + 'gogobel', + #'goto', + 'grain', + 'grain2', + 'grain3', + 'granule', + 'guiro', + 'harmon', + 'harmon2', + 'harmon3', + 'harmon4', + 'hdf5read', + 'hdf5write', + 'hilbert', + 'hrtfearly', + 'hrtfer', + 'hrtfmove', + 'hrtfmove2', + 'hrtfreverb', + 'hrtfstat', + 'hsboscil', + 'hvs1', + 'hvs2', + 'hvs3', + 'i', + 'iceps', + #'igoto', + 'ihold', + 'imagecreate', + 'imagefree', + 'imagegetpixel', + 'imageload', + 'imagesave', + 'imagesetpixel', + 'imagesize', + 'in', + 'in32', + 'inch', + 'inh', + 'init', + 'initc14', + 'initc21', + 'initc7', + 'inleta', + 'inletf', + 'inletk', + 'inletkid', + 'inletv', + 'ino', + 'inq', + 'inrg', + 'ins', + 'insglobal', + 'insremot', + #'instr', + 'int', + 'integ', + 'interp', + 'invalue', + 'inx', + 'inz', + 'jitter', + 'jitter2', + 'jspline', + 'k', + #'kgoto', + 'ktableseg', + 'lenarray', + 'lentab', + 'lfo', + 'limit', + 'line', + 'linen', + 'linenr', + 'lineto', + 'linrand', + 'linseg', + 'linsegb', + 'linsegr', + 'locsend', + 'locsig', + 'log', + 'log10', + 'log2', + 'logbtwo', + 'logcurve', + #'loop_ge', + #'loop_gt', + #'loop_le', + #'loop_lt', + 'loopseg', + 'loopsegp', + 'looptseg', + 'loopxseg', + 'lorenz', + 'loscil', + 'loscil3', + 'loscilx', + 'lowpass2', + 'lowres', + 'lowresx', + 'lpf18', + 'lpform', + 'lpfreson', + 'lphasor', + 'lpinterp', + 'lposcil', + 'lposcil3', + 'lposcila', + 'lposcilsa', + 'lposcilsa2', + 'lpread', + 'lpreson', + 'lpshold', + 'lpsholdp', + 'lpslot', + #'lua_exec', + 'lua_ikopcall', + #'lua_opdef', + 'mac', + 'maca', + 'madsr', + 'mags', + 'mandel', + 'mandol', + 'maparray', + 'maparray_i', + 'marimba', + 'massign', + 'max', + 'max_k', + 'maxabs', + 'maxabsaccum', + 'maxaccum', + 'maxalloc', + 'maxarray', + 'maxtab', + 'mclock', + 'mdelay', + 'median', + 'mediank', + 'metro', + 'midglobal', + 'midic14', + 'midic21', + 'midic7', + 'midichannelaftertouch', + 'midichn', + 'midicontrolchange', + 'midictrl', + 'mididefault', + 'midifilestatus', + 'midiin', + 'midinoteoff', + 'midinoteoncps', + 'midinoteonkey', + 'midinoteonoct', + 'midinoteonpch', + 'midion', + 'midion2', + 'midiout', + 'midipgm', + 'midipitchbend', + 'midipolyaftertouch', + 'midiprogramchange', + 'miditempo', + 'midremot', + 'min', + 'minabs', + 'minabsaccum', + 'minaccum', + 'minarray', + 'mincer', + 'mintab', + 'mirror', + 'mode', + 'modmatrix', + 'monitor', + 'moog', + 'moogladder', + 'moogvcf', + 'moogvcf2', + 'moscil', + 'mp3bitrate', + 'mp3in', + 'mp3len', + 'mp3nchnls', + 'mp3sr', + 'mpulse', + 'mrtmsg', + 'multitap', + 'mute', + 'mxadsr', + 'nestedap', + 'nlalp', + 'nlfilt', + 'nlfilt2', + 'noise', + 'noteoff', + 'noteon', + 'noteondur', + 'noteondur2', + 'notnum', + 'nreverb', + 'nrpn', + 'nsamp', + 'nstance', + 'nstrnum', + 'ntrpol', + 'octave', + 'octcps', + 'octmidi', + 'octmidib', + 'octmidinn', + 'octpch', + #'opcode', + 'oscbnk', + 'oscil', + 'oscil1', + 'oscil1i', + 'oscil3', + 'oscili', + 'oscilikt', + 'osciliktp', + 'oscilikts', + 'osciln', + 'oscils', + 'oscilx', + 'out', + 'out32', + 'outc', + 'outch', + 'outh', + 'outiat', + 'outic', + 'outic14', + 'outipat', + 'outipb', + 'outipc', + 'outkat', + 'outkc', + 'outkc14', + 'outkpat', + 'outkpb', + 'outkpc', + 'outleta', + 'outletf', + 'outletk', + 'outletkid', + 'outletv', + 'outo', + 'outq', + 'outq1', + 'outq2', + 'outq3', + 'outq4', + 'outrg', + 'outs', + 'outs1', + 'outs2', + 'outvalue', + 'outx', + 'outz', + 'p', + 'pan', + 'pan2', + 'pareq', + 'partials', + 'partikkel', + 'partikkelget', + 'partikkelset', + 'partikkelsync', + 'passign', + 'pcauchy', + 'pchbend', + 'pchmidi', + 'pchmidib', + 'pchmidinn', + 'pchoct', + 'pconvolve', + 'pcount', + 'pdclip', + 'pdhalf', + 'pdhalfy', + 'peak', + 'pgmassign', + 'pgmchn', + 'phaser1', + 'phaser2', + 'phasor', + 'phasorbnk', + 'phs', + 'pindex', + 'pinker', + 'pinkish', + 'pitch', + 'pitchac', + 'pitchamdf', + 'planet', + 'platerev', + 'plltrack', + 'pluck', + 'poisson', + 'pol2rect', + 'polyaft', + 'polynomial', + 'pop', + 'pop_f', + 'port', + 'portk', + 'poscil', + 'poscil3', + 'pow', + 'powershape', + 'powoftwo', + 'prealloc', + 'prepiano', + 'print', + 'print_type', + 'printf', + 'printf_i', + 'printk', + 'printk2', + 'printks', + 'printks2', + 'prints', + 'product', + 'pset', + 'ptable', + 'ptable3', + 'ptablei', + 'ptableiw', + 'ptablew', + 'ptrack', + 'push', + 'push_f', + 'puts', + 'pvadd', + 'pvbufread', + 'pvcross', + 'pvinterp', + 'pvoc', + 'pvread', + 'pvs2array', + 'pvs2tab', + 'pvsadsyn', + 'pvsanal', + 'pvsarp', + 'pvsbandp', + 'pvsbandr', + 'pvsbin', + 'pvsblur', + 'pvsbuffer', + 'pvsbufread', + 'pvsbufread2', + 'pvscale', + 'pvscent', + 'pvsceps', + 'pvscross', + 'pvsdemix', + 'pvsdiskin', + 'pvsdisp', + 'pvsenvftw', + 'pvsfilter', + 'pvsfread', + 'pvsfreeze', + 'pvsfromarray', + 'pvsftr', + 'pvsftw', + 'pvsfwrite', + 'pvsgain', + 'pvsgendy', + 'pvshift', + 'pvsifd', + 'pvsin', + 'pvsinfo', + 'pvsinit', + 'pvslock', + 'pvsmaska', + 'pvsmix', + 'pvsmooth', + 'pvsmorph', + 'pvsosc', + 'pvsout', + 'pvspitch', + 'pvstanal', + 'pvstencil', + 'pvsvoc', + 'pvswarp', + 'pvsynth', + 'pwd', + 'pyassign', + 'pyassigni', + 'pyassignt', + 'pycall', + 'pycall1', + 'pycall1i', + 'pycall1t', + 'pycall2', + 'pycall2i', + 'pycall2t', + 'pycall3', + 'pycall3i', + 'pycall3t', + 'pycall4', + 'pycall4i', + 'pycall4t', + 'pycall5', + 'pycall5i', + 'pycall5t', + 'pycall6', + 'pycall6i', + 'pycall6t', + 'pycall7', + 'pycall7i', + 'pycall7t', + 'pycall8', + 'pycall8i', + 'pycall8t', + 'pycalli', + 'pycalln', + 'pycallni', + 'pycallt', + 'pyeval', + 'pyevali', + 'pyevalt', + 'pyexec', + 'pyexeci', + 'pyexect', + 'pyinit', + 'pylassign', + 'pylassigni', + 'pylassignt', + 'pylcall', + 'pylcall1', + 'pylcall1i', + 'pylcall1t', + 'pylcall2', + 'pylcall2i', + 'pylcall2t', + 'pylcall3', + 'pylcall3i', + 'pylcall3t', + 'pylcall4', + 'pylcall4i', + 'pylcall4t', + 'pylcall5', + 'pylcall5i', + 'pylcall5t', + 'pylcall6', + 'pylcall6i', + 'pylcall6t', + 'pylcall7', + 'pylcall7i', + 'pylcall7t', + 'pylcall8', + 'pylcall8i', + 'pylcall8t', + 'pylcalli', + 'pylcalln', + 'pylcallni', + 'pylcallt', + 'pyleval', + 'pylevali', + 'pylevalt', + 'pylexec', + 'pylexeci', + 'pylexect', + #'pylrun', + #'pylruni', + #'pylrunt', + #'pyrun', + #'pyruni', + #'pyrunt', + 'qinf', + 'qnan', + 'r2c', + 'rand', + 'randh', + 'randi', + 'random', + 'randomh', + 'randomi', + 'rbjeq', + 'readclock', + 'readf', + 'readfi', + 'readk', + 'readk2', + 'readk3', + 'readk4', + 'readks', + 'readscore', + 'readscratch', + 'rect2pol', + 'reinit', + 'release', + 'remoteport', + 'remove', + 'repluck', + 'reson', + 'resonk', + 'resonr', + 'resonx', + 'resonxk', + 'resony', + 'resonz', + 'resyn', + #'return', + 'reverb', + 'reverb2', + 'reverbsc', + 'rewindscore', + 'rezzy', + 'rfft', + 'rifft', + #'rigoto', + 'rireturn', + 'rms', + 'rnd', + 'rnd31', + 'round', + 'rspline', + 'rtclock', + 's16b14', + 's32b14', + 'samphold', + 'sandpaper', + 'scale', + 'scalearray', + 'scalet', + 'scanhammer', + 'scans', + 'scantable', + 'scanu', + 'schedkwhen', + 'schedkwhennamed', + 'schedule', + 'schedwhen', + #'scoreline', + #'scoreline_i', + 'seed', + 'sekere', + 'semitone', + 'sense', + 'sensekey', + 'seqtime', + 'seqtime2', + 'serialBegin', + 'serialEnd', + 'serialFlush', + 'serialPrint', + 'serialRead', + 'serialWrite', + 'serialWrite_i', + 'setcol', + 'setctrl', + 'setksmps', + 'setrow', + 'setscorepos', + 'sfilist', + 'sfinstr', + 'sfinstr3', + 'sfinstr3m', + 'sfinstrm', + 'sfload', + 'sflooper', + 'sfpassign', + 'sfplay', + 'sfplay3', + 'sfplay3m', + 'sfplaym', + 'sfplist', + 'sfpreset', + 'shaker', + 'shiftin', + 'shiftout', + 'signalflowgraph', + 'signum', + 'sin', + 'sinh', + 'sininv', + 'sinsyn', + 'sleighbells', + 'slicearray', + 'slider16', + 'slider16f', + 'slider16table', + 'slider16tablef', + 'slider32', + 'slider32f', + 'slider32table', + 'slider32tablef', + 'slider64', + 'slider64f', + 'slider64table', + 'slider64tablef', + 'slider8', + 'slider8f', + 'slider8table', + 'slider8tablef', + 'sliderKawai', + 'sndload', + 'sndloop', + 'sndwarp', + 'sndwarpst', + 'sockrecv', + 'sockrecvs', + 'socksend', + 'socksends', + 'soundin', + 'soundout', + 'soundouts', + 'space', + 'spat3d', + 'spat3di', + 'spat3dt', + 'spdist', + 'specaddm', + 'specdiff', + 'specdisp', + 'specfilt', + 'spechist', + 'specptrk', + 'specscal', + 'specsum', + 'spectrum', + 'splitrig', + 'sprintf', + 'sprintfk', + 'spsend', + 'sqrt', + 'stack', + 'statevar', + 'stix', + 'strcat', + 'strcatk', + 'strchar', + 'strchark', + 'strcmp', + 'strcmpk', + 'strcpy', + 'strcpyk', + 'strecv', + 'streson', + 'strfromurl', + 'strget', + 'strindex', + 'strindexk', + 'strlen', + 'strlenk', + 'strlower', + 'strlowerk', + 'strrindex', + 'strrindexk', + 'strset', + 'strsub', + 'strsubk', + 'strtod', + 'strtodk', + 'strtol', + 'strtolk', + 'strupper', + 'strupperk', + 'stsend', + 'subinstr', + 'subinstrinit', + 'sum', + 'sumarray', + 'sumtab', + 'svfilter', + 'syncgrain', + 'syncloop', + 'syncphasor', + 'system', + 'system_i', + 'tab', + 'tab2pvs', + 'tab_i', + 'tabgen', + 'table', + 'table3', + 'table3kt', + 'tablecopy', + 'tablefilter', + 'tablefilteri', + 'tablegpw', + 'tablei', + 'tableicopy', + 'tableigpw', + 'tableikt', + 'tableimix', + 'tableiw', + 'tablekt', + 'tablemix', + 'tableng', + 'tablera', + 'tableseg', + 'tableshuffle', + 'tableshufflei', + 'tablew', + 'tablewa', + 'tablewkt', + 'tablexkt', + 'tablexseg', + 'tabmap', + 'tabmap_i', + 'tabmorph', + 'tabmorpha', + 'tabmorphak', + 'tabmorphi', + 'tabplay', + 'tabrec', + 'tabslice', + 'tabsum', + 'tabw', + 'tabw_i', + 'tambourine', + 'tan', + 'tanh', + 'taninv', + 'taninv2', + 'tb0', + 'tb0_init', + 'tb1', + 'tb10', + 'tb10_init', + 'tb11', + 'tb11_init', + 'tb12', + 'tb12_init', + 'tb13', + 'tb13_init', + 'tb14', + 'tb14_init', + 'tb15', + 'tb15_init', + 'tb1_init', + 'tb2', + 'tb2_init', + 'tb3', + 'tb3_init', + 'tb4', + 'tb4_init', + 'tb5', + 'tb5_init', + 'tb6', + 'tb6_init', + 'tb7', + 'tb7_init', + 'tb8', + 'tb8_init', + 'tb9', + 'tb9_init', + 'tbvcf', + 'tempest', + 'tempo', + 'temposcal', + 'tempoval', + #'tigoto', + 'timedseq', + 'timeinstk', + 'timeinsts', + 'timek', + 'times', + #'timout', + 'tival', + 'tlineto', + 'tone', + 'tonek', + 'tonex', + 'tradsyn', + 'trandom', + 'transeg', + 'transegb', + 'transegr', + 'trcross', + 'trfilter', + 'trhighest', + 'trigger', + 'trigseq', + 'trirand', + 'trlowest', + 'trmix', + 'trscale', + 'trshift', + 'trsplit', + 'turnoff', + 'turnoff2', + 'turnon', + 'unirand', + 'unwrap', + 'upsamp', + 'urd', + 'vactrol', + 'vadd', + 'vadd_i', + 'vaddv', + 'vaddv_i', + 'vaget', + 'valpass', + 'vaset', + 'vbap', + 'vbap16', + 'vbap4', + 'vbap4move', + 'vbap8', + 'vbap8move', + 'vbapg', + 'vbapgmove', + 'vbaplsinit', + 'vbapmove', + 'vbapz', + 'vbapzmove', + 'vcella', + 'vco', + 'vco2', + 'vco2ft', + 'vco2ift', + 'vco2init', + 'vcomb', + 'vcopy', + 'vcopy_i', + 'vdel_k', + 'vdelay', + 'vdelay3', + 'vdelayk', + 'vdelayx', + 'vdelayxq', + 'vdelayxs', + 'vdelayxw', + 'vdelayxwq', + 'vdelayxws', + 'vdivv', + 'vdivv_i', + 'vecdelay', + 'veloc', + 'vexp', + 'vexp_i', + 'vexpseg', + 'vexpv', + 'vexpv_i', + 'vibes', + 'vibr', + 'vibrato', + 'vincr', + 'vlimit', + 'vlinseg', + 'vlowres', + 'vmap', + 'vmirror', + 'vmult', + 'vmult_i', + 'vmultv', + 'vmultv_i', + 'voice', + 'vosim', + 'vphaseseg', + 'vport', + 'vpow', + 'vpow_i', + 'vpowv', + 'vpowv_i', + 'vpvoc', + 'vrandh', + 'vrandi', + 'vsubv', + 'vsubv_i', + 'vtaba', + 'vtabi', + 'vtabk', + 'vtable1k', + 'vtablea', + 'vtablei', + 'vtablek', + 'vtablewa', + 'vtablewi', + 'vtablewk', + 'vtabwa', + 'vtabwi', + 'vtabwk', + 'vwrap', + 'waveset', + 'weibull', + 'wgbow', + 'wgbowedbar', + 'wgbrass', + 'wgclar', + 'wgflute', + 'wgpluck', + 'wgpluck2', + 'wguide1', + 'wguide2', + 'wiiconnect', + 'wiidata', + 'wiirange', + 'wiisend', + 'window', + 'wrap', + 'writescratch', + 'wterrain', + 'xadsr', + 'xin', + 'xout', + 'xscanmap', + 'xscans', + 'xscansmap', + 'xscanu', + 'xtratim', + 'xyin', + 'zacl', + 'zakinit', + 'zamod', + 'zar', + 'zarg', + 'zaw', + 'zawm', + 'zfilter2', + 'zir', + 'ziw', + 'ziwm', + 'zkcl', + 'zkmod', + 'zkr', + 'zkw', + 'zkwm' +)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_lasso_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_lasso_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..d950cbe859f20088e2765f8717f1a9b2930ceb83 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_lasso_builtins.py @@ -0,0 +1,5327 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._lasso_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Built-in Lasso types, traits, methods, and members. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +BUILTINS = { + 'Types': ( + 'array', + 'atbegin', + 'boolean', + 'bson_iter', + 'bson', + 'bytes_document_body', + 'bytes', + 'cache_server_element', + 'cache_server', + 'capture', + 'client_address', + 'client_ip', + 'component_container', + 'component_render_state', + 'component', + 'curl', + 'curltoken', + 'currency', + 'custom', + 'data_document', + 'database_registry', + 'date', + 'dateandtime', + 'dbgp_packet', + 'dbgp_server', + 'debugging_stack', + 'decimal', + 'delve', + 'dir', + 'dirdesc', + 'dns_response', + 'document_base', + 'document_body', + 'document_header', + 'dsinfo', + 'duration', + 'eacher', + 'email_compose', + 'email_parse', + 'email_pop', + 'email_queue_impl_base', + 'email_queue_impl', + 'email_smtp', + 'email_stage_impl_base', + 'email_stage_impl', + 'fastcgi_each_fcgi_param', + 'fastcgi_server', + 'fcgi_record', + 'fcgi_request', + 'file', + 'filedesc', + 'filemaker_datasource', + 'generateforeachkeyed', + 'generateforeachunkeyed', + 'generateseries', + 'hash_map', + 'html_atomic_element', + 'html_attr', + 'html_base', + 'html_binary', + 'html_br', + 'html_cdata', + 'html_container_element', + 'html_div', + 'html_document_body', + 'html_document_head', + 'html_eol', + 'html_fieldset', + 'html_form', + 'html_h1', + 'html_h2', + 'html_h3', + 'html_h4', + 'html_h5', + 'html_h6', + 'html_hr', + 'html_img', + 'html_input', + 'html_json', + 'html_label', + 'html_legend', + 'html_link', + 'html_meta', + 'html_object', + 'html_option', + 'html_raw', + 'html_script', + 'html_select', + 'html_span', + 'html_style', + 'html_table', + 'html_td', + 'html_text', + 'html_th', + 'html_tr', + 'http_document_header', + 'http_document', + 'http_error', + 'http_header_field', + 'http_server_connection_handler_globals', + 'http_server_connection_handler', + 'http_server_request_logger_thread', + 'http_server_web_connection', + 'http_server', + 'image', + 'include_cache', + 'inline_type', + 'integer', + 'java_jnienv', + 'jbyte', + 'jbytearray', + 'jchar', + 'jchararray', + 'jfieldid', + 'jfloat', + 'jint', + 'jmethodid', + 'jobject', + 'jshort', + 'json_decode', + 'json_encode', + 'json_literal', + 'json_object', + 'keyword', + 'lassoapp_compiledsrc_appsource', + 'lassoapp_compiledsrc_fileresource', + 'lassoapp_content_rep_halt', + 'lassoapp_dirsrc_appsource', + 'lassoapp_dirsrc_fileresource', + 'lassoapp_installer', + 'lassoapp_livesrc_appsource', + 'lassoapp_livesrc_fileresource', + 'lassoapp_long_expiring_bytes', + 'lassoapp_manualsrc_appsource', + 'lassoapp_zip_file_server', + 'lassoapp_zipsrc_appsource', + 'lassoapp_zipsrc_fileresource', + 'ldap', + 'library_thread_loader', + 'list_node', + 'list', + 'locale', + 'log_impl_base', + 'log_impl', + 'magick_image', + 'map_node', + 'map', + 'memberstream', + 'memory_session_driver_impl_entry', + 'memory_session_driver_impl', + 'memory_session_driver', + 'mime_reader', + 'mongo_client', + 'mongo_collection', + 'mongo_cursor', + 'mustache_ctx', + 'mysql_session_driver_impl', + 'mysql_session_driver', + 'net_named_pipe', + 'net_tcp_ssl', + 'net_tcp', + 'net_udp_packet', + 'net_udp', + 'null', + 'odbc_session_driver_impl', + 'odbc_session_driver', + 'opaque', + 'os_process', + 'pair_compare', + 'pair', + 'pairup', + 'pdf_barcode', + 'pdf_chunk', + 'pdf_color', + 'pdf_doc', + 'pdf_font', + 'pdf_hyphenator', + 'pdf_image', + 'pdf_list', + 'pdf_paragraph', + 'pdf_phrase', + 'pdf_read', + 'pdf_table', + 'pdf_text', + 'pdf_typebase', + 'percent', + 'portal_impl', + 'queriable_groupby', + 'queriable_grouping', + 'queriable_groupjoin', + 'queriable_join', + 'queriable_orderby', + 'queriable_orderbydescending', + 'queriable_select', + 'queriable_selectmany', + 'queriable_skip', + 'queriable_take', + 'queriable_thenby', + 'queriable_thenbydescending', + 'queriable_where', + 'queue', + 'raw_document_body', + 'regexp', + 'repeat', + 'scientific', + 'security_registry', + 'serialization_element', + 'serialization_object_identity_compare', + 'serialization_reader', + 'serialization_writer_ref', + 'serialization_writer_standin', + 'serialization_writer', + 'session_delete_expired_thread', + 'set', + 'signature', + 'sourcefile', + 'sqlite_column', + 'sqlite_currentrow', + 'sqlite_db', + 'sqlite_results', + 'sqlite_session_driver_impl_entry', + 'sqlite_session_driver_impl', + 'sqlite_session_driver', + 'sqlite_table', + 'sqlite3_stmt', + 'sqlite3', + 'staticarray', + 'string', + 'sys_process', + 'tag', + 'text_document', + 'tie', + 'timeonly', + 'trait', + 'tree_base', + 'tree_node', + 'tree_nullnode', + 'ucal', + 'usgcpu', + 'usgvm', + 'void', + 'web_error_atend', + 'web_node_base', + 'web_node_content_representation_css_specialized', + 'web_node_content_representation_html_specialized', + 'web_node_content_representation_js_specialized', + 'web_node_content_representation_xhr_container', + 'web_node_echo', + 'web_node_root', + 'web_request_impl', + 'web_request', + 'web_response_impl', + 'web_response', + 'web_router', + 'websocket_handler', + 'worker_pool', + 'xml_attr', + 'xml_cdatasection', + 'xml_characterdata', + 'xml_comment', + 'xml_document', + 'xml_documentfragment', + 'xml_documenttype', + 'xml_domimplementation', + 'xml_element', + 'xml_entity', + 'xml_entityreference', + 'xml_namednodemap_attr', + 'xml_namednodemap_ht', + 'xml_namednodemap', + 'xml_node', + 'xml_nodelist', + 'xml_notation', + 'xml_processinginstruction', + 'xml_text', + 'xmlstream', + 'zip_file_impl', + 'zip_file', + 'zip_impl', + 'zip', + ), + 'Traits': ( + 'any', + 'formattingbase', + 'html_attributed', + 'html_element_coreattrs', + 'html_element_eventsattrs', + 'html_element_i18nattrs', + 'lassoapp_capabilities', + 'lassoapp_resource', + 'lassoapp_source', + 'queriable_asstring', + 'session_driver', + 'trait_array', + 'trait_asstring', + 'trait_backcontractible', + 'trait_backended', + 'trait_backexpandable', + 'trait_close', + 'trait_contractible', + 'trait_decompose_assignment', + 'trait_doubleended', + 'trait_each_sub', + 'trait_encodeurl', + 'trait_endedfullymutable', + 'trait_expandable', + 'trait_file', + 'trait_finite', + 'trait_finiteforeach', + 'trait_foreach', + 'trait_foreachtextelement', + 'trait_frontcontractible', + 'trait_frontended', + 'trait_frontexpandable', + 'trait_fullymutable', + 'trait_generator', + 'trait_generatorcentric', + 'trait_hashable', + 'trait_json_serialize', + 'trait_keyed', + 'trait_keyedfinite', + 'trait_keyedforeach', + 'trait_keyedmutable', + 'trait_list', + 'trait_map', + 'trait_net', + 'trait_pathcomponents', + 'trait_positionallykeyed', + 'trait_positionallysearchable', + 'trait_queriable', + 'trait_queriablelambda', + 'trait_readbytes', + 'trait_readstring', + 'trait_scalar', + 'trait_searchable', + 'trait_serializable', + 'trait_setencoding', + 'trait_setoperations', + 'trait_stack', + 'trait_treenode', + 'trait_writebytes', + 'trait_writestring', + 'trait_xml_elementcompat', + 'trait_xml_nodecompat', + 'web_connection', + 'web_node_container', + 'web_node_content_css_specialized', + 'web_node_content_document', + 'web_node_content_html_specialized', + 'web_node_content_js_specialized', + 'web_node_content_json_specialized', + 'web_node_content_representation', + 'web_node_content', + 'web_node_postable', + 'web_node', + ), + 'Unbound Methods': ( + 'abort_clear', + 'abort_now', + 'abort', + 'action_param', + 'action_params', + 'action_statement', + 'admin_authorization', + 'admin_currentgroups', + 'admin_currentuserid', + 'admin_currentusername', + 'admin_getpref', + 'admin_initialize', + 'admin_lassoservicepath', + 'admin_removepref', + 'admin_setpref', + 'admin_userexists', + 'all', + 'auth_admin', + 'auth_check', + 'auth_custom', + 'auth_group', + 'auth_prompt', + 'auth_user', + 'bom_utf16be', + 'bom_utf16le', + 'bom_utf32be', + 'bom_utf32le', + 'bom_utf8', + 'bw', + 'capture_nearestloopabort', + 'capture_nearestloopcontinue', + 'capture_nearestloopcount', + 'checked', + 'cipher_decrypt_private', + 'cipher_decrypt_public', + 'cipher_decrypt', + 'cipher_digest', + 'cipher_encrypt_private', + 'cipher_encrypt_public', + 'cipher_encrypt', + 'cipher_generate_key', + 'cipher_hmac', + 'cipher_keylength', + 'cipher_list', + 'cipher_open', + 'cipher_seal', + 'cipher_sign', + 'cipher_verify', + 'client_addr', + 'client_authorization', + 'client_browser', + 'client_contentlength', + 'client_contenttype', + 'client_cookielist', + 'client_cookies', + 'client_encoding', + 'client_formmethod', + 'client_getargs', + 'client_getparam', + 'client_getparams', + 'client_headers', + 'client_integertoip', + 'client_iptointeger', + 'client_password', + 'client_postargs', + 'client_postparam', + 'client_postparams', + 'client_type', + 'client_url', + 'client_username', + 'cn', + 'column_name', + 'column_names', + 'column_type', + 'column', + 'compress', + 'content_addheader', + 'content_body', + 'content_encoding', + 'content_header', + 'content_replaceheader', + 'content_type', + 'cookie_set', + 'cookie', + 'curl_easy_cleanup', + 'curl_easy_duphandle', + 'curl_easy_getinfo', + 'curl_easy_init', + 'curl_easy_reset', + 'curl_easy_setopt', + 'curl_easy_strerror', + 'curl_getdate', + 'curl_http_version_1_0', + 'curl_http_version_1_1', + 'curl_http_version_none', + 'curl_ipresolve_v4', + 'curl_ipresolve_v6', + 'curl_ipresolve_whatever', + 'curl_multi_perform', + 'curl_multi_result', + 'curl_netrc_ignored', + 'curl_netrc_optional', + 'curl_netrc_required', + 'curl_sslversion_default', + 'curl_sslversion_sslv2', + 'curl_sslversion_sslv3', + 'curl_sslversion_tlsv1', + 'curl_version_asynchdns', + 'curl_version_debug', + 'curl_version_gssnegotiate', + 'curl_version_idn', + 'curl_version_info', + 'curl_version_ipv6', + 'curl_version_kerberos4', + 'curl_version_largefile', + 'curl_version_libz', + 'curl_version_ntlm', + 'curl_version_spnego', + 'curl_version_ssl', + 'curl_version', + 'curlauth_any', + 'curlauth_anysafe', + 'curlauth_basic', + 'curlauth_digest', + 'curlauth_gssnegotiate', + 'curlauth_none', + 'curlauth_ntlm', + 'curle_aborted_by_callback', + 'curle_bad_calling_order', + 'curle_bad_content_encoding', + 'curle_bad_download_resume', + 'curle_bad_function_argument', + 'curle_bad_password_entered', + 'curle_couldnt_connect', + 'curle_couldnt_resolve_host', + 'curle_couldnt_resolve_proxy', + 'curle_failed_init', + 'curle_file_couldnt_read_file', + 'curle_filesize_exceeded', + 'curle_ftp_access_denied', + 'curle_ftp_cant_get_host', + 'curle_ftp_cant_reconnect', + 'curle_ftp_couldnt_get_size', + 'curle_ftp_couldnt_retr_file', + 'curle_ftp_couldnt_set_ascii', + 'curle_ftp_couldnt_set_binary', + 'curle_ftp_couldnt_use_rest', + 'curle_ftp_port_failed', + 'curle_ftp_quote_error', + 'curle_ftp_ssl_failed', + 'curle_ftp_user_password_incorrect', + 'curle_ftp_weird_227_format', + 'curle_ftp_weird_pass_reply', + 'curle_ftp_weird_pasv_reply', + 'curle_ftp_weird_server_reply', + 'curle_ftp_weird_user_reply', + 'curle_ftp_write_error', + 'curle_function_not_found', + 'curle_got_nothing', + 'curle_http_post_error', + 'curle_http_range_error', + 'curle_http_returned_error', + 'curle_interface_failed', + 'curle_ldap_cannot_bind', + 'curle_ldap_invalid_url', + 'curle_ldap_search_failed', + 'curle_library_not_found', + 'curle_login_denied', + 'curle_malformat_user', + 'curle_obsolete', + 'curle_ok', + 'curle_operation_timeouted', + 'curle_out_of_memory', + 'curle_partial_file', + 'curle_read_error', + 'curle_recv_error', + 'curle_send_error', + 'curle_send_fail_rewind', + 'curle_share_in_use', + 'curle_ssl_cacert', + 'curle_ssl_certproblem', + 'curle_ssl_cipher', + 'curle_ssl_connect_error', + 'curle_ssl_engine_initfailed', + 'curle_ssl_engine_notfound', + 'curle_ssl_engine_setfailed', + 'curle_ssl_peer_certificate', + 'curle_telnet_option_syntax', + 'curle_too_many_redirects', + 'curle_unknown_telnet_option', + 'curle_unsupported_protocol', + 'curle_url_malformat_user', + 'curle_url_malformat', + 'curle_write_error', + 'curlftpauth_default', + 'curlftpauth_ssl', + 'curlftpauth_tls', + 'curlftpssl_all', + 'curlftpssl_control', + 'curlftpssl_last', + 'curlftpssl_none', + 'curlftpssl_try', + 'curlinfo_connect_time', + 'curlinfo_content_length_download', + 'curlinfo_content_length_upload', + 'curlinfo_content_type', + 'curlinfo_effective_url', + 'curlinfo_filetime', + 'curlinfo_header_size', + 'curlinfo_http_connectcode', + 'curlinfo_httpauth_avail', + 'curlinfo_namelookup_time', + 'curlinfo_num_connects', + 'curlinfo_os_errno', + 'curlinfo_pretransfer_time', + 'curlinfo_proxyauth_avail', + 'curlinfo_redirect_count', + 'curlinfo_redirect_time', + 'curlinfo_request_size', + 'curlinfo_response_code', + 'curlinfo_size_download', + 'curlinfo_size_upload', + 'curlinfo_speed_download', + 'curlinfo_speed_upload', + 'curlinfo_ssl_engines', + 'curlinfo_ssl_verifyresult', + 'curlinfo_starttransfer_time', + 'curlinfo_total_time', + 'curlmsg_done', + 'curlopt_autoreferer', + 'curlopt_buffersize', + 'curlopt_cainfo', + 'curlopt_capath', + 'curlopt_connecttimeout', + 'curlopt_cookie', + 'curlopt_cookiefile', + 'curlopt_cookiejar', + 'curlopt_cookiesession', + 'curlopt_crlf', + 'curlopt_customrequest', + 'curlopt_dns_use_global_cache', + 'curlopt_egdsocket', + 'curlopt_encoding', + 'curlopt_failonerror', + 'curlopt_filetime', + 'curlopt_followlocation', + 'curlopt_forbid_reuse', + 'curlopt_fresh_connect', + 'curlopt_ftp_account', + 'curlopt_ftp_create_missing_dirs', + 'curlopt_ftp_response_timeout', + 'curlopt_ftp_ssl', + 'curlopt_ftp_use_eprt', + 'curlopt_ftp_use_epsv', + 'curlopt_ftpappend', + 'curlopt_ftplistonly', + 'curlopt_ftpport', + 'curlopt_ftpsslauth', + 'curlopt_header', + 'curlopt_http_version', + 'curlopt_http200aliases', + 'curlopt_httpauth', + 'curlopt_httpget', + 'curlopt_httpheader', + 'curlopt_httppost', + 'curlopt_httpproxytunnel', + 'curlopt_infilesize_large', + 'curlopt_infilesize', + 'curlopt_interface', + 'curlopt_ipresolve', + 'curlopt_krb4level', + 'curlopt_low_speed_limit', + 'curlopt_low_speed_time', + 'curlopt_mail_from', + 'curlopt_mail_rcpt', + 'curlopt_maxconnects', + 'curlopt_maxfilesize_large', + 'curlopt_maxfilesize', + 'curlopt_maxredirs', + 'curlopt_netrc_file', + 'curlopt_netrc', + 'curlopt_nobody', + 'curlopt_noprogress', + 'curlopt_port', + 'curlopt_post', + 'curlopt_postfields', + 'curlopt_postfieldsize_large', + 'curlopt_postfieldsize', + 'curlopt_postquote', + 'curlopt_prequote', + 'curlopt_proxy', + 'curlopt_proxyauth', + 'curlopt_proxyport', + 'curlopt_proxytype', + 'curlopt_proxyuserpwd', + 'curlopt_put', + 'curlopt_quote', + 'curlopt_random_file', + 'curlopt_range', + 'curlopt_readdata', + 'curlopt_referer', + 'curlopt_resume_from_large', + 'curlopt_resume_from', + 'curlopt_ssl_cipher_list', + 'curlopt_ssl_verifyhost', + 'curlopt_ssl_verifypeer', + 'curlopt_sslcert', + 'curlopt_sslcerttype', + 'curlopt_sslengine_default', + 'curlopt_sslengine', + 'curlopt_sslkey', + 'curlopt_sslkeypasswd', + 'curlopt_sslkeytype', + 'curlopt_sslversion', + 'curlopt_tcp_nodelay', + 'curlopt_timecondition', + 'curlopt_timeout', + 'curlopt_timevalue', + 'curlopt_transfertext', + 'curlopt_unrestricted_auth', + 'curlopt_upload', + 'curlopt_url', + 'curlopt_use_ssl', + 'curlopt_useragent', + 'curlopt_userpwd', + 'curlopt_verbose', + 'curlopt_writedata', + 'curlproxy_http', + 'curlproxy_socks4', + 'curlproxy_socks5', + 'database_adddefaultsqlitehost', + 'database_database', + 'database_initialize', + 'database_name', + 'database_qs', + 'database_table_database_tables', + 'database_table_datasource_databases', + 'database_table_datasource_hosts', + 'database_table_datasources', + 'database_table_table_fields', + 'database_util_cleanpath', + 'dbgp_stop_stack_name', + 'debugging_break', + 'debugging_breakpoint_get', + 'debugging_breakpoint_list', + 'debugging_breakpoint_remove', + 'debugging_breakpoint_set', + 'debugging_breakpoint_update', + 'debugging_context_locals', + 'debugging_context_self', + 'debugging_context_vars', + 'debugging_detach', + 'debugging_enabled', + 'debugging_get_context', + 'debugging_get_stack', + 'debugging_run', + 'debugging_step_in', + 'debugging_step_out', + 'debugging_step_over', + 'debugging_stop', + 'debugging_terminate', + 'decimal_random', + 'decompress', + 'decrypt_blowfish', + 'define_atbegin', + 'define_atend', + 'dns_default', + 'dns_lookup', + 'document', + 'email_attachment_mime_type', + 'email_batch', + 'email_digestchallenge', + 'email_digestresponse', + 'email_extract', + 'email_findemails', + 'email_fix_address_list', + 'email_fix_address', + 'email_fs_error_clean', + 'email_immediate', + 'email_initialize', + 'email_merge', + 'email_mxlookup', + 'email_pop_priv_extract', + 'email_pop_priv_quote', + 'email_pop_priv_substring', + 'email_queue', + 'email_result', + 'email_safeemail', + 'email_send', + 'email_status', + 'email_token', + 'email_translatebreakstocrlf', + 'encode_qheader', + 'encoding_iso88591', + 'encoding_utf8', + 'encrypt_blowfish', + 'encrypt_crammd5', + 'encrypt_hmac', + 'encrypt_md5', + 'eol', + 'eq', + 'error_code_aborted', + 'error_code_dividebyzero', + 'error_code_filenotfound', + 'error_code_invalidparameter', + 'error_code_methodnotfound', + 'error_code_networkerror', + 'error_code_noerror', + 'error_code_resnotfound', + 'error_code_runtimeassertion', + 'error_code', + 'error_msg_aborted', + 'error_msg_dividebyzero', + 'error_msg_filenotfound', + 'error_msg_invalidparameter', + 'error_msg_methodnotfound', + 'error_msg_networkerror', + 'error_msg_noerror', + 'error_msg_resnotfound', + 'error_msg_runtimeassertion', + 'error_msg', + 'error_obj', + 'error_pop', + 'error_push', + 'error_reset', + 'error_stack', + 'escape_tag', + 'evdns_resolve_ipv4', + 'evdns_resolve_ipv6', + 'evdns_resolve_reverse_ipv6', + 'evdns_resolve_reverse', + 'ew', + 'fail_if', + 'fail_ifnot', + 'fail_now', + 'fail', + 'failure_clear', + 'fastcgi_createfcgirequest', + 'fastcgi_handlecon', + 'fastcgi_handlereq', + 'fastcgi_initialize', + 'fastcgi_initiate_request', + 'fcgi_abort_request', + 'fcgi_authorize', + 'fcgi_begin_request', + 'fcgi_bodychunksize', + 'fcgi_cant_mpx_conn', + 'fcgi_data', + 'fcgi_end_request', + 'fcgi_filter', + 'fcgi_get_values_result', + 'fcgi_get_values', + 'fcgi_keep_conn', + 'fcgi_makeendrequestbody', + 'fcgi_makestdoutbody', + 'fcgi_max_conns', + 'fcgi_max_reqs', + 'fcgi_mpxs_conns', + 'fcgi_null_request_id', + 'fcgi_overloaded', + 'fcgi_params', + 'fcgi_read_timeout_seconds', + 'fcgi_readparam', + 'fcgi_request_complete', + 'fcgi_responder', + 'fcgi_stderr', + 'fcgi_stdin', + 'fcgi_stdout', + 'fcgi_unknown_role', + 'fcgi_unknown_type', + 'fcgi_version_1', + 'fcgi_x_stdin', + 'field_name', + 'field_names', + 'field', + 'file_copybuffersize', + 'file_defaultencoding', + 'file_forceroot', + 'file_modechar', + 'file_modeline', + 'file_stderr', + 'file_stdin', + 'file_stdout', + 'file_tempfile', + 'filemakerds_initialize', + 'filemakerds', + 'found_count', + 'ft', + 'ftp_deletefile', + 'ftp_getdata', + 'ftp_getfile', + 'ftp_getlisting', + 'ftp_putdata', + 'ftp_putfile', + 'full', + 'generateforeach', + 'gt', + 'gte', + 'handle_failure', + 'handle', + 'hash_primes', + 'html_comment', + 'http_char_colon', + 'http_char_cr', + 'http_char_htab', + 'http_char_lf', + 'http_char_question', + 'http_char_space', + 'http_default_files', + 'http_read_headers', + 'http_read_timeout_secs', + 'http_server_apps_path', + 'http_server_request_logger', + 'if_empty', + 'if_false', + 'if_null', + 'if_true', + 'include_cache_compare', + 'include_currentpath', + 'include_filepath', + 'include_localpath', + 'include_once', + 'include_path', + 'include_raw', + 'include_url', + 'include', + 'includes', + 'inline_colinfo_name_pos', + 'inline_colinfo_type_pos', + 'inline_colinfo_valuelist_pos', + 'inline_columninfo_pos', + 'inline_foundcount_pos', + 'inline_namedget', + 'inline_namedput', + 'inline_resultrows_pos', + 'inline_scopeget', + 'inline_scopepop', + 'inline_scopepush', + 'inline', + 'integer_bitor', + 'integer_random', + 'io_dir_dt_blk', + 'io_dir_dt_chr', + 'io_dir_dt_dir', + 'io_dir_dt_fifo', + 'io_dir_dt_lnk', + 'io_dir_dt_reg', + 'io_dir_dt_sock', + 'io_dir_dt_unknown', + 'io_dir_dt_wht', + 'io_file_access', + 'io_file_chdir', + 'io_file_chmod', + 'io_file_chown', + 'io_file_dirname', + 'io_file_f_dupfd', + 'io_file_f_getfd', + 'io_file_f_getfl', + 'io_file_f_getlk', + 'io_file_f_rdlck', + 'io_file_f_setfd', + 'io_file_f_setfl', + 'io_file_f_setlk', + 'io_file_f_setlkw', + 'io_file_f_test', + 'io_file_f_tlock', + 'io_file_f_ulock', + 'io_file_f_unlck', + 'io_file_f_wrlck', + 'io_file_fd_cloexec', + 'io_file_fioasync', + 'io_file_fioclex', + 'io_file_fiodtype', + 'io_file_fiogetown', + 'io_file_fionbio', + 'io_file_fionclex', + 'io_file_fionread', + 'io_file_fiosetown', + 'io_file_getcwd', + 'io_file_lchown', + 'io_file_link', + 'io_file_lockf', + 'io_file_lstat_atime', + 'io_file_lstat_mode', + 'io_file_lstat_mtime', + 'io_file_lstat_size', + 'io_file_mkdir', + 'io_file_mkfifo', + 'io_file_mkstemp', + 'io_file_o_append', + 'io_file_o_async', + 'io_file_o_creat', + 'io_file_o_excl', + 'io_file_o_exlock', + 'io_file_o_fsync', + 'io_file_o_nofollow', + 'io_file_o_nonblock', + 'io_file_o_rdonly', + 'io_file_o_rdwr', + 'io_file_o_shlock', + 'io_file_o_sync', + 'io_file_o_trunc', + 'io_file_o_wronly', + 'io_file_pipe', + 'io_file_readlink', + 'io_file_realpath', + 'io_file_remove', + 'io_file_rename', + 'io_file_rmdir', + 'io_file_s_ifblk', + 'io_file_s_ifchr', + 'io_file_s_ifdir', + 'io_file_s_ififo', + 'io_file_s_iflnk', + 'io_file_s_ifmt', + 'io_file_s_ifreg', + 'io_file_s_ifsock', + 'io_file_s_irgrp', + 'io_file_s_iroth', + 'io_file_s_irusr', + 'io_file_s_irwxg', + 'io_file_s_irwxo', + 'io_file_s_irwxu', + 'io_file_s_isgid', + 'io_file_s_isuid', + 'io_file_s_isvtx', + 'io_file_s_iwgrp', + 'io_file_s_iwoth', + 'io_file_s_iwusr', + 'io_file_s_ixgrp', + 'io_file_s_ixoth', + 'io_file_s_ixusr', + 'io_file_seek_cur', + 'io_file_seek_end', + 'io_file_seek_set', + 'io_file_stat_atime', + 'io_file_stat_mode', + 'io_file_stat_mtime', + 'io_file_stat_size', + 'io_file_stderr', + 'io_file_stdin', + 'io_file_stdout', + 'io_file_symlink', + 'io_file_tempnam', + 'io_file_truncate', + 'io_file_umask', + 'io_file_unlink', + 'io_net_accept', + 'io_net_af_inet', + 'io_net_af_inet6', + 'io_net_af_unix', + 'io_net_bind', + 'io_net_connect', + 'io_net_getpeername', + 'io_net_getsockname', + 'io_net_ipproto_ip', + 'io_net_ipproto_udp', + 'io_net_listen', + 'io_net_msg_oob', + 'io_net_msg_peek', + 'io_net_msg_waitall', + 'io_net_recv', + 'io_net_recvfrom', + 'io_net_send', + 'io_net_sendto', + 'io_net_shut_rd', + 'io_net_shut_rdwr', + 'io_net_shut_wr', + 'io_net_shutdown', + 'io_net_so_acceptconn', + 'io_net_so_broadcast', + 'io_net_so_debug', + 'io_net_so_dontroute', + 'io_net_so_error', + 'io_net_so_keepalive', + 'io_net_so_linger', + 'io_net_so_oobinline', + 'io_net_so_rcvbuf', + 'io_net_so_rcvlowat', + 'io_net_so_rcvtimeo', + 'io_net_so_reuseaddr', + 'io_net_so_sndbuf', + 'io_net_so_sndlowat', + 'io_net_so_sndtimeo', + 'io_net_so_timestamp', + 'io_net_so_type', + 'io_net_so_useloopback', + 'io_net_sock_dgram', + 'io_net_sock_raw', + 'io_net_sock_rdm', + 'io_net_sock_seqpacket', + 'io_net_sock_stream', + 'io_net_socket', + 'io_net_sol_socket', + 'io_net_ssl_accept', + 'io_net_ssl_begin', + 'io_net_ssl_connect', + 'io_net_ssl_end', + 'io_net_ssl_error', + 'io_net_ssl_errorstring', + 'io_net_ssl_funcerrorstring', + 'io_net_ssl_liberrorstring', + 'io_net_ssl_read', + 'io_net_ssl_reasonerrorstring', + 'io_net_ssl_setacceptstate', + 'io_net_ssl_setconnectstate', + 'io_net_ssl_setverifylocations', + 'io_net_ssl_shutdown', + 'io_net_ssl_usecertificatechainfile', + 'io_net_ssl_useprivatekeyfile', + 'io_net_ssl_write', + 'java_jvm_create', + 'java_jvm_getenv', + 'jdbc_initialize', + 'json_back_slash', + 'json_back_space', + 'json_close_array', + 'json_close_object', + 'json_colon', + 'json_comma', + 'json_consume_array', + 'json_consume_object', + 'json_consume_string', + 'json_consume_token', + 'json_cr', + 'json_debug', + 'json_deserialize', + 'json_e_lower', + 'json_e_upper', + 'json_f_lower', + 'json_form_feed', + 'json_forward_slash', + 'json_lf', + 'json_n_lower', + 'json_negative', + 'json_open_array', + 'json_open_object', + 'json_period', + 'json_positive', + 'json_quote_double', + 'json_rpccall', + 'json_serialize', + 'json_t_lower', + 'json_tab', + 'json_white_space', + 'keycolumn_name', + 'keycolumn_value', + 'keyfield_name', + 'keyfield_value', + 'lasso_currentaction', + 'lasso_errorreporting', + 'lasso_executiontimelimit', + 'lasso_methodexists', + 'lasso_tagexists', + 'lasso_uniqueid', + 'lasso_version', + 'lassoapp_current_app', + 'lassoapp_current_include', + 'lassoapp_do_with_include', + 'lassoapp_exists', + 'lassoapp_find_missing_file', + 'lassoapp_format_mod_date', + 'lassoapp_get_capabilities_name', + 'lassoapp_include_current', + 'lassoapp_include', + 'lassoapp_initialize_db', + 'lassoapp_initialize', + 'lassoapp_invoke_resource', + 'lassoapp_issourcefileextension', + 'lassoapp_link', + 'lassoapp_load_module', + 'lassoapp_mime_get', + 'lassoapp_mime_type_appcache', + 'lassoapp_mime_type_css', + 'lassoapp_mime_type_csv', + 'lassoapp_mime_type_doc', + 'lassoapp_mime_type_docx', + 'lassoapp_mime_type_eof', + 'lassoapp_mime_type_eot', + 'lassoapp_mime_type_gif', + 'lassoapp_mime_type_html', + 'lassoapp_mime_type_ico', + 'lassoapp_mime_type_jpg', + 'lassoapp_mime_type_js', + 'lassoapp_mime_type_lasso', + 'lassoapp_mime_type_map', + 'lassoapp_mime_type_pdf', + 'lassoapp_mime_type_png', + 'lassoapp_mime_type_ppt', + 'lassoapp_mime_type_rss', + 'lassoapp_mime_type_svg', + 'lassoapp_mime_type_swf', + 'lassoapp_mime_type_tif', + 'lassoapp_mime_type_ttf', + 'lassoapp_mime_type_txt', + 'lassoapp_mime_type_woff', + 'lassoapp_mime_type_xaml', + 'lassoapp_mime_type_xap', + 'lassoapp_mime_type_xbap', + 'lassoapp_mime_type_xhr', + 'lassoapp_mime_type_xml', + 'lassoapp_mime_type_zip', + 'lassoapp_path_to_method_name', + 'lassoapp_settingsdb', + 'layout_name', + 'lcapi_datasourceadd', + 'lcapi_datasourcecloseconnection', + 'lcapi_datasourcedelete', + 'lcapi_datasourceduplicate', + 'lcapi_datasourceexecsql', + 'lcapi_datasourcefindall', + 'lcapi_datasourceimage', + 'lcapi_datasourceinfo', + 'lcapi_datasourceinit', + 'lcapi_datasourcematchesname', + 'lcapi_datasourcenames', + 'lcapi_datasourcenothing', + 'lcapi_datasourceopand', + 'lcapi_datasourceopany', + 'lcapi_datasourceopbw', + 'lcapi_datasourceopct', + 'lcapi_datasourceopeq', + 'lcapi_datasourceopew', + 'lcapi_datasourceopft', + 'lcapi_datasourceopgt', + 'lcapi_datasourceopgteq', + 'lcapi_datasourceopin', + 'lcapi_datasourceoplt', + 'lcapi_datasourceoplteq', + 'lcapi_datasourceopnbw', + 'lcapi_datasourceopnct', + 'lcapi_datasourceopneq', + 'lcapi_datasourceopnew', + 'lcapi_datasourceopnin', + 'lcapi_datasourceopno', + 'lcapi_datasourceopnot', + 'lcapi_datasourceopnrx', + 'lcapi_datasourceopor', + 'lcapi_datasourceoprx', + 'lcapi_datasourcepreparesql', + 'lcapi_datasourceprotectionnone', + 'lcapi_datasourceprotectionreadonly', + 'lcapi_datasourcerandom', + 'lcapi_datasourceschemanames', + 'lcapi_datasourcescripts', + 'lcapi_datasourcesearch', + 'lcapi_datasourcesortascending', + 'lcapi_datasourcesortcustom', + 'lcapi_datasourcesortdescending', + 'lcapi_datasourcetablenames', + 'lcapi_datasourceterm', + 'lcapi_datasourcetickle', + 'lcapi_datasourcetypeblob', + 'lcapi_datasourcetypeboolean', + 'lcapi_datasourcetypedate', + 'lcapi_datasourcetypedecimal', + 'lcapi_datasourcetypeinteger', + 'lcapi_datasourcetypestring', + 'lcapi_datasourceunpreparesql', + 'lcapi_datasourceupdate', + 'lcapi_fourchartointeger', + 'lcapi_listdatasources', + 'lcapi_loadmodule', + 'lcapi_loadmodules', + 'lcapi_updatedatasourceslist', + 'ldap_scope_base', + 'ldap_scope_children', + 'ldap_scope_onelevel', + 'ldap_scope_subtree', + 'library_once', + 'library', + 'ljapi_initialize', + 'locale_availablelocales', + 'locale_canada', + 'locale_canadafrench', + 'locale_china', + 'locale_chinese', + 'locale_default', + 'locale_english', + 'locale_format_style_date_time', + 'locale_format_style_default', + 'locale_format_style_full', + 'locale_format_style_long', + 'locale_format_style_medium', + 'locale_format_style_none', + 'locale_format_style_short', + 'locale_format', + 'locale_france', + 'locale_french', + 'locale_german', + 'locale_germany', + 'locale_isocountries', + 'locale_isolanguages', + 'locale_italian', + 'locale_italy', + 'locale_japan', + 'locale_japanese', + 'locale_korea', + 'locale_korean', + 'locale_prc', + 'locale_setdefault', + 'locale_simplifiedchinese', + 'locale_taiwan', + 'locale_traditionalchinese', + 'locale_uk', + 'locale_us', + 'log_always', + 'log_critical', + 'log_deprecated', + 'log_destination_console', + 'log_destination_database', + 'log_destination_file', + 'log_detail', + 'log_initialize', + 'log_level_critical', + 'log_level_deprecated', + 'log_level_detail', + 'log_level_sql', + 'log_level_warning', + 'log_max_file_size', + 'log_setdestination', + 'log_sql', + 'log_trim_file_size', + 'log_warning', + 'log', + 'loop_abort', + 'loop_continue', + 'loop_count', + 'loop_key_pop', + 'loop_key_push', + 'loop_key', + 'loop_pop', + 'loop_push', + 'loop_value_pop', + 'loop_value_push', + 'loop_value', + 'loop', + 'lt', + 'lte', + 'main_thread_only', + 'max', + 'maxrecords_value', + 'median', + 'method_name', + 'micros', + 'millis', + 'min', + 'minimal', + 'mongo_insert_continue_on_error', + 'mongo_insert_no_validate', + 'mongo_insert_none', + 'mongo_query_await_data', + 'mongo_query_exhaust', + 'mongo_query_no_cursor_timeout', + 'mongo_query_none', + 'mongo_query_oplog_replay', + 'mongo_query_partial', + 'mongo_query_slave_ok', + 'mongo_query_tailable_cursor', + 'mongo_remove_none', + 'mongo_remove_single_remove', + 'mongo_update_multi_update', + 'mongo_update_no_validate', + 'mongo_update_none', + 'mongo_update_upsert', + 'mustache_compile_file', + 'mustache_compile_string', + 'mustache_include', + 'mysqlds', + 'namespace_global', + 'namespace_import', + 'namespace_using', + 'nbw', + 'ncn', + 'neq', + 'net_connectinprogress', + 'net_connectok', + 'net_typessl', + 'net_typessltcp', + 'net_typessludp', + 'net_typetcp', + 'net_typeudp', + 'net_waitread', + 'net_waittimeout', + 'net_waitwrite', + 'new', + 'none', + 'nrx', + 'nslookup', + 'odbc_session_driver_mssql', + 'odbc', + 'output_none', + 'output', + 'pdf_package', + 'pdf_rectangle', + 'pdf_serve', + 'pi', + 'portal', + 'postgresql', + 'process', + 'protect_now', + 'protect', + 'queriable_average', + 'queriable_defaultcompare', + 'queriable_do', + 'queriable_internal_combinebindings', + 'queriable_max', + 'queriable_min', + 'queriable_qsort', + 'queriable_reversecompare', + 'queriable_sum', + 'random_seed', + 'range', + 'records_array', + 'records_map', + 'records', + 'redirect_url', + 'referer_url', + 'referrer_url', + 'register_thread', + 'register', + 'response_filepath', + 'response_localpath', + 'response_path', + 'response_realm', + 'response_root', + 'resultset_count', + 'resultset', + 'resultsets', + 'rows_array', + 'rows_impl', + 'rows', + 'rx', + 'schema_name', + 'security_database', + 'security_default_realm', + 'security_initialize', + 'security_table_groups', + 'security_table_ug_map', + 'security_table_users', + 'selected', + 'series', + 'server_admin', + 'server_ip', + 'server_name', + 'server_port', + 'server_protocol', + 'server_push', + 'server_signature', + 'server_software', + 'session_abort', + 'session_addvar', + 'session_decorate', + 'session_deleteexpired', + 'session_end', + 'session_getdefaultdriver', + 'session_id', + 'session_initialize', + 'session_removevar', + 'session_result', + 'session_setdefaultdriver', + 'session_start', + 'shown_count', + 'shown_first', + 'shown_last', + 'site_id', + 'site_name', + 'skiprecords_value', + 'sleep', + 'split_thread', + 'sqlite_abort', + 'sqlite_auth', + 'sqlite_blob', + 'sqlite_busy', + 'sqlite_cantopen', + 'sqlite_constraint', + 'sqlite_corrupt', + 'sqlite_createdb', + 'sqlite_done', + 'sqlite_empty', + 'sqlite_error', + 'sqlite_float', + 'sqlite_format', + 'sqlite_full', + 'sqlite_integer', + 'sqlite_internal', + 'sqlite_interrupt', + 'sqlite_ioerr', + 'sqlite_locked', + 'sqlite_mismatch', + 'sqlite_misuse', + 'sqlite_nolfs', + 'sqlite_nomem', + 'sqlite_notadb', + 'sqlite_notfound', + 'sqlite_null', + 'sqlite_ok', + 'sqlite_perm', + 'sqlite_protocol', + 'sqlite_range', + 'sqlite_readonly', + 'sqlite_row', + 'sqlite_schema', + 'sqlite_setsleepmillis', + 'sqlite_setsleeptries', + 'sqlite_text', + 'sqlite_toobig', + 'sqliteconnector', + 'staticarray_join', + 'stdout', + 'stdoutnl', + 'string_validcharset', + 'suspend', + 'sys_appspath', + 'sys_chroot', + 'sys_clock', + 'sys_clockspersec', + 'sys_credits', + 'sys_databasespath', + 'sys_detach_exec', + 'sys_difftime', + 'sys_dll_ext', + 'sys_drand48', + 'sys_environ', + 'sys_eol', + 'sys_erand48', + 'sys_errno', + 'sys_exec_pid_to_os_pid', + 'sys_exec', + 'sys_exit', + 'sys_fork', + 'sys_garbagecollect', + 'sys_getbytessincegc', + 'sys_getchar', + 'sys_getegid', + 'sys_getenv', + 'sys_geteuid', + 'sys_getgid', + 'sys_getgrnam', + 'sys_getheapfreebytes', + 'sys_getheapsize', + 'sys_getlogin', + 'sys_getpid', + 'sys_getppid', + 'sys_getpwnam', + 'sys_getpwuid', + 'sys_getstartclock', + 'sys_getthreadcount', + 'sys_getuid', + 'sys_growheapby', + 'sys_homepath', + 'sys_is_full_path', + 'sys_is_windows', + 'sys_isfullpath', + 'sys_iswindows', + 'sys_iterate', + 'sys_jrand48', + 'sys_kill_exec', + 'sys_kill', + 'sys_lcong48', + 'sys_librariespath', + 'sys_listtraits', + 'sys_listtypes', + 'sys_listunboundmethods', + 'sys_loadlibrary', + 'sys_lrand48', + 'sys_masterhomepath', + 'sys_mrand48', + 'sys_nrand48', + 'sys_pid_exec', + 'sys_pointersize', + 'sys_rand', + 'sys_random', + 'sys_seed48', + 'sys_setenv', + 'sys_setgid', + 'sys_setsid', + 'sys_setuid', + 'sys_sigabrt', + 'sys_sigalrm', + 'sys_sigbus', + 'sys_sigchld', + 'sys_sigcont', + 'sys_sigfpe', + 'sys_sighup', + 'sys_sigill', + 'sys_sigint', + 'sys_sigkill', + 'sys_sigpipe', + 'sys_sigprof', + 'sys_sigquit', + 'sys_sigsegv', + 'sys_sigstop', + 'sys_sigsys', + 'sys_sigterm', + 'sys_sigtrap', + 'sys_sigtstp', + 'sys_sigttin', + 'sys_sigttou', + 'sys_sigurg', + 'sys_sigusr1', + 'sys_sigusr2', + 'sys_sigvtalrm', + 'sys_sigxcpu', + 'sys_sigxfsz', + 'sys_srand', + 'sys_srand48', + 'sys_srandom', + 'sys_strerror', + 'sys_supportpath', + 'sys_test_exec', + 'sys_time', + 'sys_uname', + 'sys_unsetenv', + 'sys_usercapimodulepath', + 'sys_userstartuppath', + 'sys_version', + 'sys_wait_exec', + 'sys_waitpid', + 'sys_wcontinued', + 'sys_while', + 'sys_wnohang', + 'sys_wuntraced', + 'table_name', + 'tag_exists', + 'tag_name', + 'thread_var_get', + 'thread_var_pop', + 'thread_var_push', + 'threadvar_find', + 'threadvar_get', + 'threadvar_set_asrt', + 'threadvar_set', + 'timer', + 'token_value', + 'treemap', + 'u_lb_alphabetic', + 'u_lb_ambiguous', + 'u_lb_break_after', + 'u_lb_break_before', + 'u_lb_break_both', + 'u_lb_break_symbols', + 'u_lb_carriage_return', + 'u_lb_close_punctuation', + 'u_lb_combining_mark', + 'u_lb_complex_context', + 'u_lb_contingent_break', + 'u_lb_exclamation', + 'u_lb_glue', + 'u_lb_h2', + 'u_lb_h3', + 'u_lb_hyphen', + 'u_lb_ideographic', + 'u_lb_infix_numeric', + 'u_lb_inseparable', + 'u_lb_jl', + 'u_lb_jt', + 'u_lb_jv', + 'u_lb_line_feed', + 'u_lb_mandatory_break', + 'u_lb_next_line', + 'u_lb_nonstarter', + 'u_lb_numeric', + 'u_lb_open_punctuation', + 'u_lb_postfix_numeric', + 'u_lb_prefix_numeric', + 'u_lb_quotation', + 'u_lb_space', + 'u_lb_surrogate', + 'u_lb_unknown', + 'u_lb_word_joiner', + 'u_lb_zwspace', + 'u_nt_decimal', + 'u_nt_digit', + 'u_nt_none', + 'u_nt_numeric', + 'u_sb_aterm', + 'u_sb_close', + 'u_sb_format', + 'u_sb_lower', + 'u_sb_numeric', + 'u_sb_oletter', + 'u_sb_other', + 'u_sb_sep', + 'u_sb_sp', + 'u_sb_sterm', + 'u_sb_upper', + 'u_wb_aletter', + 'u_wb_extendnumlet', + 'u_wb_format', + 'u_wb_katakana', + 'u_wb_midletter', + 'u_wb_midnum', + 'u_wb_numeric', + 'u_wb_other', + 'ucal_ampm', + 'ucal_dayofmonth', + 'ucal_dayofweek', + 'ucal_dayofweekinmonth', + 'ucal_dayofyear', + 'ucal_daysinfirstweek', + 'ucal_dowlocal', + 'ucal_dstoffset', + 'ucal_era', + 'ucal_extendedyear', + 'ucal_firstdayofweek', + 'ucal_hour', + 'ucal_hourofday', + 'ucal_julianday', + 'ucal_lenient', + 'ucal_listtimezones', + 'ucal_millisecond', + 'ucal_millisecondsinday', + 'ucal_minute', + 'ucal_month', + 'ucal_second', + 'ucal_weekofmonth', + 'ucal_weekofyear', + 'ucal_year', + 'ucal_yearwoy', + 'ucal_zoneoffset', + 'uchar_age', + 'uchar_alphabetic', + 'uchar_ascii_hex_digit', + 'uchar_bidi_class', + 'uchar_bidi_control', + 'uchar_bidi_mirrored', + 'uchar_bidi_mirroring_glyph', + 'uchar_block', + 'uchar_canonical_combining_class', + 'uchar_case_folding', + 'uchar_case_sensitive', + 'uchar_dash', + 'uchar_decomposition_type', + 'uchar_default_ignorable_code_point', + 'uchar_deprecated', + 'uchar_diacritic', + 'uchar_east_asian_width', + 'uchar_extender', + 'uchar_full_composition_exclusion', + 'uchar_general_category_mask', + 'uchar_general_category', + 'uchar_grapheme_base', + 'uchar_grapheme_cluster_break', + 'uchar_grapheme_extend', + 'uchar_grapheme_link', + 'uchar_hangul_syllable_type', + 'uchar_hex_digit', + 'uchar_hyphen', + 'uchar_id_continue', + 'uchar_ideographic', + 'uchar_ids_binary_operator', + 'uchar_ids_trinary_operator', + 'uchar_iso_comment', + 'uchar_join_control', + 'uchar_joining_group', + 'uchar_joining_type', + 'uchar_lead_canonical_combining_class', + 'uchar_line_break', + 'uchar_logical_order_exception', + 'uchar_lowercase_mapping', + 'uchar_lowercase', + 'uchar_math', + 'uchar_name', + 'uchar_nfc_inert', + 'uchar_nfc_quick_check', + 'uchar_nfd_inert', + 'uchar_nfd_quick_check', + 'uchar_nfkc_inert', + 'uchar_nfkc_quick_check', + 'uchar_nfkd_inert', + 'uchar_nfkd_quick_check', + 'uchar_noncharacter_code_point', + 'uchar_numeric_type', + 'uchar_numeric_value', + 'uchar_pattern_syntax', + 'uchar_pattern_white_space', + 'uchar_posix_alnum', + 'uchar_posix_blank', + 'uchar_posix_graph', + 'uchar_posix_print', + 'uchar_posix_xdigit', + 'uchar_quotation_mark', + 'uchar_radical', + 'uchar_s_term', + 'uchar_script', + 'uchar_segment_starter', + 'uchar_sentence_break', + 'uchar_simple_case_folding', + 'uchar_simple_lowercase_mapping', + 'uchar_simple_titlecase_mapping', + 'uchar_simple_uppercase_mapping', + 'uchar_soft_dotted', + 'uchar_terminal_punctuation', + 'uchar_titlecase_mapping', + 'uchar_trail_canonical_combining_class', + 'uchar_unicode_1_name', + 'uchar_unified_ideograph', + 'uchar_uppercase_mapping', + 'uchar_uppercase', + 'uchar_variation_selector', + 'uchar_white_space', + 'uchar_word_break', + 'uchar_xid_continue', + 'uncompress', + 'usage', + 'uuid_compare', + 'uuid_copy', + 'uuid_generate_random', + 'uuid_generate_time', + 'uuid_generate', + 'uuid_is_null', + 'uuid_parse', + 'uuid_unparse_lower', + 'uuid_unparse_upper', + 'uuid_unparse', + 'value_list', + 'value_listitem', + 'valuelistitem', + 'var_keys', + 'var_values', + 'wap_isenabled', + 'wap_maxbuttons', + 'wap_maxcolumns', + 'wap_maxhorzpixels', + 'wap_maxrows', + 'wap_maxvertpixels', + 'web_handlefcgirequest', + 'web_node_content_representation_css', + 'web_node_content_representation_html', + 'web_node_content_representation_js', + 'web_node_content_representation_xhr', + 'web_node_forpath', + 'web_nodes_initialize', + 'web_nodes_normalizeextension', + 'web_nodes_processcontentnode', + 'web_nodes_requesthandler', + 'web_response_nodesentry', + 'web_router_database', + 'web_router_initialize', + 'websocket_handler_timeout', + 'wexitstatus', + 'wifcontinued', + 'wifexited', + 'wifsignaled', + 'wifstopped', + 'wstopsig', + 'wtermsig', + 'xml_transform', + 'xml', + 'zip_add_dir', + 'zip_add', + 'zip_checkcons', + 'zip_close', + 'zip_cm_bzip2', + 'zip_cm_default', + 'zip_cm_deflate', + 'zip_cm_deflate64', + 'zip_cm_implode', + 'zip_cm_pkware_implode', + 'zip_cm_reduce_1', + 'zip_cm_reduce_2', + 'zip_cm_reduce_3', + 'zip_cm_reduce_4', + 'zip_cm_shrink', + 'zip_cm_store', + 'zip_create', + 'zip_delete', + 'zip_em_3des_112', + 'zip_em_3des_168', + 'zip_em_aes_128', + 'zip_em_aes_192', + 'zip_em_aes_256', + 'zip_em_des', + 'zip_em_none', + 'zip_em_rc2_old', + 'zip_em_rc2', + 'zip_em_rc4', + 'zip_em_trad_pkware', + 'zip_em_unknown', + 'zip_er_changed', + 'zip_er_close', + 'zip_er_compnotsupp', + 'zip_er_crc', + 'zip_er_deleted', + 'zip_er_eof', + 'zip_er_exists', + 'zip_er_incons', + 'zip_er_internal', + 'zip_er_inval', + 'zip_er_memory', + 'zip_er_multidisk', + 'zip_er_noent', + 'zip_er_nozip', + 'zip_er_ok', + 'zip_er_open', + 'zip_er_read', + 'zip_er_remove', + 'zip_er_rename', + 'zip_er_seek', + 'zip_er_tmpopen', + 'zip_er_write', + 'zip_er_zipclosed', + 'zip_er_zlib', + 'zip_error_get_sys_type', + 'zip_error_get', + 'zip_error_to_str', + 'zip_et_none', + 'zip_et_sys', + 'zip_et_zlib', + 'zip_excl', + 'zip_fclose', + 'zip_file_error_get', + 'zip_file_strerror', + 'zip_fl_compressed', + 'zip_fl_nocase', + 'zip_fl_nodir', + 'zip_fl_unchanged', + 'zip_fopen_index', + 'zip_fopen', + 'zip_fread', + 'zip_get_archive_comment', + 'zip_get_file_comment', + 'zip_get_name', + 'zip_get_num_files', + 'zip_name_locate', + 'zip_open', + 'zip_rename', + 'zip_replace', + 'zip_set_archive_comment', + 'zip_set_file_comment', + 'zip_stat_index', + 'zip_stat', + 'zip_strerror', + 'zip_unchange_all', + 'zip_unchange_archive', + 'zip_unchange', + 'zlib_version', + ), + 'Lasso 8 Tags': ( + '__char', + '__sync_timestamp__', + '_admin_addgroup', + '_admin_adduser', + '_admin_defaultconnector', + '_admin_defaultconnectornames', + '_admin_defaultdatabase', + '_admin_defaultfield', + '_admin_defaultgroup', + '_admin_defaulthost', + '_admin_defaulttable', + '_admin_defaultuser', + '_admin_deleteconnector', + '_admin_deletedatabase', + '_admin_deletefield', + '_admin_deletegroup', + '_admin_deletehost', + '_admin_deletetable', + '_admin_deleteuser', + '_admin_duplicategroup', + '_admin_internaldatabase', + '_admin_listconnectors', + '_admin_listdatabases', + '_admin_listfields', + '_admin_listgroups', + '_admin_listhosts', + '_admin_listtables', + '_admin_listusers', + '_admin_refreshconnector', + '_admin_refreshsecurity', + '_admin_servicepath', + '_admin_updateconnector', + '_admin_updatedatabase', + '_admin_updatefield', + '_admin_updategroup', + '_admin_updatehost', + '_admin_updatetable', + '_admin_updateuser', + '_chartfx_activation_string', + '_chartfx_getchallengestring', + '_chop_args', + '_chop_mimes', + '_client_addr_old', + '_client_address_old', + '_client_ip_old', + '_database_names', + '_datasource_reload', + '_date_current', + '_date_format', + '_date_msec', + '_date_parse', + '_execution_timelimit', + '_file_chmod', + '_initialize', + '_jdbc_acceptsurl', + '_jdbc_debug', + '_jdbc_deletehost', + '_jdbc_driverclasses', + '_jdbc_driverinfo', + '_jdbc_metainfo', + '_jdbc_propertyinfo', + '_jdbc_setdriver', + '_lasso_param', + '_log_helper', + '_proc_noparam', + '_proc_withparam', + '_recursion_limit', + '_request_param', + '_security_binaryexpiration', + '_security_flushcaches', + '_security_isserialized', + '_security_serialexpiration', + '_srand', + '_strict_literals', + '_substring', + '_xmlrpc_exconverter', + '_xmlrpc_inconverter', + '_xmlrpc_xmlinconverter', + 'abort', + 'action_addinfo', + 'action_addrecord', + 'action_param', + 'action_params', + 'action_setfoundcount', + 'action_setrecordid', + 'action_settotalcount', + 'action_statement', + 'admin_allowedfileroots', + 'admin_changeuser', + 'admin_createuser', + 'admin_currentgroups', + 'admin_currentuserid', + 'admin_currentusername', + 'admin_getpref', + 'admin_groupassignuser', + 'admin_grouplistusers', + 'admin_groupremoveuser', + 'admin_lassoservicepath', + 'admin_listgroups', + 'admin_refreshlicensing', + 'admin_refreshsecurity', + 'admin_reloaddatasource', + 'admin_removepref', + 'admin_setpref', + 'admin_userexists', + 'admin_userlistgroups', + 'all', + 'and', + 'array', + 'array_iterator', + 'auth', + 'auth_admin', + 'auth_auth', + 'auth_custom', + 'auth_group', + 'auth_prompt', + 'auth_user', + 'base64', + 'bean', + 'bigint', + 'bom_utf16be', + 'bom_utf16le', + 'bom_utf32be', + 'bom_utf32le', + 'bom_utf8', + 'boolean', + 'bw', + 'bytes', + 'cache', + 'cache_delete', + 'cache_empty', + 'cache_exists', + 'cache_fetch', + 'cache_internal', + 'cache_maintenance', + 'cache_object', + 'cache_preferences', + 'cache_store', + 'case', + 'chartfx', + 'chartfx_records', + 'chartfx_serve', + 'checked', + 'choice_list', + 'choice_listitem', + 'choicelistitem', + 'cipher_decrypt', + 'cipher_digest', + 'cipher_encrypt', + 'cipher_hmac', + 'cipher_keylength', + 'cipher_list', + 'click_text', + 'client_addr', + 'client_address', + 'client_authorization', + 'client_browser', + 'client_contentlength', + 'client_contenttype', + 'client_cookielist', + 'client_cookies', + 'client_encoding', + 'client_formmethod', + 'client_getargs', + 'client_getparams', + 'client_headers', + 'client_ip', + 'client_ipfrominteger', + 'client_iptointeger', + 'client_password', + 'client_postargs', + 'client_postparams', + 'client_type', + 'client_url', + 'client_username', + 'cn', + 'column', + 'column_name', + 'column_names', + 'compare_beginswith', + 'compare_contains', + 'compare_endswith', + 'compare_equalto', + 'compare_greaterthan', + 'compare_greaterthanorequals', + 'compare_greaterthanorequls', + 'compare_lessthan', + 'compare_lessthanorequals', + 'compare_notbeginswith', + 'compare_notcontains', + 'compare_notendswith', + 'compare_notequalto', + 'compare_notregexp', + 'compare_regexp', + 'compare_strictequalto', + 'compare_strictnotequalto', + 'compiler_removecacheddoc', + 'compiler_setdefaultparserflags', + 'compress', + 'content_body', + 'content_encoding', + 'content_header', + 'content_type', + 'cookie', + 'cookie_set', + 'curl_ftp_getfile', + 'curl_ftp_getlisting', + 'curl_ftp_putfile', + 'curl_include_url', + 'currency', + 'database_changecolumn', + 'database_changefield', + 'database_createcolumn', + 'database_createfield', + 'database_createtable', + 'database_fmcontainer', + 'database_hostinfo', + 'database_inline', + 'database_name', + 'database_nameitem', + 'database_names', + 'database_realname', + 'database_removecolumn', + 'database_removefield', + 'database_removetable', + 'database_repeating', + 'database_repeating_valueitem', + 'database_repeatingvalueitem', + 'database_schemanameitem', + 'database_schemanames', + 'database_tablecolumn', + 'database_tablenameitem', + 'database_tablenames', + 'datasource_name', + 'datasource_register', + 'date', + 'date__date_current', + 'date__date_format', + 'date__date_msec', + 'date__date_parse', + 'date_add', + 'date_date', + 'date_difference', + 'date_duration', + 'date_format', + 'date_getcurrentdate', + 'date_getday', + 'date_getdayofweek', + 'date_gethour', + 'date_getlocaltimezone', + 'date_getminute', + 'date_getmonth', + 'date_getsecond', + 'date_gettime', + 'date_getyear', + 'date_gmttolocal', + 'date_localtogmt', + 'date_maximum', + 'date_minimum', + 'date_msec', + 'date_setformat', + 'date_subtract', + 'db_layoutnameitem', + 'db_layoutnames', + 'db_nameitem', + 'db_names', + 'db_tablenameitem', + 'db_tablenames', + 'dbi_column_names', + 'dbi_field_names', + 'decimal', + 'decimal_setglobaldefaultprecision', + 'decode_base64', + 'decode_bheader', + 'decode_hex', + 'decode_html', + 'decode_json', + 'decode_qheader', + 'decode_quotedprintable', + 'decode_quotedprintablebytes', + 'decode_url', + 'decode_xml', + 'decompress', + 'decrypt_blowfish', + 'decrypt_blowfish2', + 'default', + 'define_atbegin', + 'define_atend', + 'define_constant', + 'define_prototype', + 'define_tag', + 'define_tagp', + 'define_type', + 'define_typep', + 'deserialize', + 'directory_directorynameitem', + 'directory_lister', + 'directory_nameitem', + 'directorynameitem', + 'dns_default', + 'dns_lookup', + 'dns_response', + 'duration', + 'else', + 'email_batch', + 'email_compose', + 'email_digestchallenge', + 'email_digestresponse', + 'email_extract', + 'email_findemails', + 'email_immediate', + 'email_merge', + 'email_mxerror', + 'email_mxlookup', + 'email_parse', + 'email_pop', + 'email_queue', + 'email_result', + 'email_safeemail', + 'email_send', + 'email_smtp', + 'email_status', + 'email_token', + 'email_translatebreakstocrlf', + 'encode_base64', + 'encode_bheader', + 'encode_break', + 'encode_breaks', + 'encode_crc32', + 'encode_hex', + 'encode_html', + 'encode_htmltoxml', + 'encode_json', + 'encode_qheader', + 'encode_quotedprintable', + 'encode_quotedprintablebytes', + 'encode_set', + 'encode_smart', + 'encode_sql', + 'encode_sql92', + 'encode_stricturl', + 'encode_url', + 'encode_xml', + 'encrypt_blowfish', + 'encrypt_blowfish2', + 'encrypt_crammd5', + 'encrypt_hmac', + 'encrypt_md5', + 'eq', + 'error_adderror', + 'error_code', + 'error_code_aborted', + 'error_code_assert', + 'error_code_bof', + 'error_code_connectioninvalid', + 'error_code_couldnotclosefile', + 'error_code_couldnotcreateoropenfile', + 'error_code_couldnotdeletefile', + 'error_code_couldnotdisposememory', + 'error_code_couldnotlockmemory', + 'error_code_couldnotreadfromfile', + 'error_code_couldnotunlockmemory', + 'error_code_couldnotwritetofile', + 'error_code_criterianotmet', + 'error_code_datasourceerror', + 'error_code_directoryfull', + 'error_code_diskfull', + 'error_code_dividebyzero', + 'error_code_eof', + 'error_code_failure', + 'error_code_fieldrestriction', + 'error_code_file', + 'error_code_filealreadyexists', + 'error_code_filecorrupt', + 'error_code_fileinvalid', + 'error_code_fileinvalidaccessmode', + 'error_code_fileisclosed', + 'error_code_fileisopen', + 'error_code_filelocked', + 'error_code_filenotfound', + 'error_code_fileunlocked', + 'error_code_httpfilenotfound', + 'error_code_illegalinstruction', + 'error_code_illegaluseoffrozeninstance', + 'error_code_invaliddatabase', + 'error_code_invalidfilename', + 'error_code_invalidmemoryobject', + 'error_code_invalidparameter', + 'error_code_invalidpassword', + 'error_code_invalidpathname', + 'error_code_invalidusername', + 'error_code_ioerror', + 'error_code_loopaborted', + 'error_code_memory', + 'error_code_network', + 'error_code_nilpointer', + 'error_code_noerr', + 'error_code_nopermission', + 'error_code_outofmemory', + 'error_code_outofstackspace', + 'error_code_overflow', + 'error_code_postconditionfailed', + 'error_code_preconditionfailed', + 'error_code_resnotfound', + 'error_code_resource', + 'error_code_streamreaderror', + 'error_code_streamwriteerror', + 'error_code_syntaxerror', + 'error_code_tagnotfound', + 'error_code_unknownerror', + 'error_code_varnotfound', + 'error_code_volumedoesnotexist', + 'error_code_webactionnotsupported', + 'error_code_webadderror', + 'error_code_webdeleteerror', + 'error_code_webmodulenotfound', + 'error_code_webnosuchobject', + 'error_code_webrepeatingrelatedfield', + 'error_code_webrequiredfieldmissing', + 'error_code_webtimeout', + 'error_code_webupdateerror', + 'error_columnrestriction', + 'error_currenterror', + 'error_databaseconnectionunavailable', + 'error_databasetimeout', + 'error_deleteerror', + 'error_fieldrestriction', + 'error_filenotfound', + 'error_invaliddatabase', + 'error_invalidpassword', + 'error_invalidusername', + 'error_modulenotfound', + 'error_msg', + 'error_msg_aborted', + 'error_msg_assert', + 'error_msg_bof', + 'error_msg_connectioninvalid', + 'error_msg_couldnotclosefile', + 'error_msg_couldnotcreateoropenfile', + 'error_msg_couldnotdeletefile', + 'error_msg_couldnotdisposememory', + 'error_msg_couldnotlockmemory', + 'error_msg_couldnotreadfromfile', + 'error_msg_couldnotunlockmemory', + 'error_msg_couldnotwritetofile', + 'error_msg_criterianotmet', + 'error_msg_datasourceerror', + 'error_msg_directoryfull', + 'error_msg_diskfull', + 'error_msg_dividebyzero', + 'error_msg_eof', + 'error_msg_failure', + 'error_msg_fieldrestriction', + 'error_msg_file', + 'error_msg_filealreadyexists', + 'error_msg_filecorrupt', + 'error_msg_fileinvalid', + 'error_msg_fileinvalidaccessmode', + 'error_msg_fileisclosed', + 'error_msg_fileisopen', + 'error_msg_filelocked', + 'error_msg_filenotfound', + 'error_msg_fileunlocked', + 'error_msg_httpfilenotfound', + 'error_msg_illegalinstruction', + 'error_msg_illegaluseoffrozeninstance', + 'error_msg_invaliddatabase', + 'error_msg_invalidfilename', + 'error_msg_invalidmemoryobject', + 'error_msg_invalidparameter', + 'error_msg_invalidpassword', + 'error_msg_invalidpathname', + 'error_msg_invalidusername', + 'error_msg_ioerror', + 'error_msg_loopaborted', + 'error_msg_memory', + 'error_msg_network', + 'error_msg_nilpointer', + 'error_msg_noerr', + 'error_msg_nopermission', + 'error_msg_outofmemory', + 'error_msg_outofstackspace', + 'error_msg_overflow', + 'error_msg_postconditionfailed', + 'error_msg_preconditionfailed', + 'error_msg_resnotfound', + 'error_msg_resource', + 'error_msg_streamreaderror', + 'error_msg_streamwriteerror', + 'error_msg_syntaxerror', + 'error_msg_tagnotfound', + 'error_msg_unknownerror', + 'error_msg_varnotfound', + 'error_msg_volumedoesnotexist', + 'error_msg_webactionnotsupported', + 'error_msg_webadderror', + 'error_msg_webdeleteerror', + 'error_msg_webmodulenotfound', + 'error_msg_webnosuchobject', + 'error_msg_webrepeatingrelatedfield', + 'error_msg_webrequiredfieldmissing', + 'error_msg_webtimeout', + 'error_msg_webupdateerror', + 'error_noerror', + 'error_nopermission', + 'error_norecordsfound', + 'error_outofmemory', + 'error_pop', + 'error_push', + 'error_reqcolumnmissing', + 'error_reqfieldmissing', + 'error_requiredcolumnmissing', + 'error_requiredfieldmissing', + 'error_reset', + 'error_seterrorcode', + 'error_seterrormessage', + 'error_updateerror', + 'euro', + 'event_schedule', + 'ew', + 'fail', + 'fail_if', + 'false', + 'field', + 'field_name', + 'field_names', + 'file', + 'file_autoresolvefullpaths', + 'file_chmod', + 'file_control', + 'file_copy', + 'file_create', + 'file_creationdate', + 'file_currenterror', + 'file_delete', + 'file_exists', + 'file_getlinecount', + 'file_getsize', + 'file_isdirectory', + 'file_listdirectory', + 'file_moddate', + 'file_modechar', + 'file_modeline', + 'file_move', + 'file_openread', + 'file_openreadwrite', + 'file_openwrite', + 'file_openwriteappend', + 'file_openwritetruncate', + 'file_probeeol', + 'file_processuploads', + 'file_read', + 'file_readline', + 'file_rename', + 'file_serve', + 'file_setsize', + 'file_stream', + 'file_streamcopy', + 'file_uploads', + 'file_waitread', + 'file_waittimeout', + 'file_waitwrite', + 'file_write', + 'find_soap_ops', + 'form_param', + 'found_count', + 'ft', + 'ftp_getfile', + 'ftp_getlisting', + 'ftp_putfile', + 'full', + 'global', + 'global_defined', + 'global_remove', + 'global_reset', + 'globals', + 'gt', + 'gte', + 'handle', + 'handle_error', + 'header', + 'html_comment', + 'http_getfile', + 'ical_alarm', + 'ical_attribute', + 'ical_calendar', + 'ical_daylight', + 'ical_event', + 'ical_freebusy', + 'ical_item', + 'ical_journal', + 'ical_parse', + 'ical_standard', + 'ical_timezone', + 'ical_todo', + 'if', + 'if_empty', + 'if_false', + 'if_null', + 'if_true', + 'image', + 'image_url', + 'img', + 'include', + 'include_cgi', + 'include_currentpath', + 'include_once', + 'include_raw', + 'include_url', + 'inline', + 'integer', + 'iterate', + 'iterator', + 'java', + 'java_bean', + 'json_records', + 'json_rpccall', + 'keycolumn_name', + 'keycolumn_value', + 'keyfield_name', + 'keyfield_value', + 'lasso_comment', + 'lasso_currentaction', + 'lasso_datasourceis', + 'lasso_datasourceis4d', + 'lasso_datasourceisfilemaker', + 'lasso_datasourceisfilemaker7', + 'lasso_datasourceisfilemaker9', + 'lasso_datasourceisfilemakersa', + 'lasso_datasourceisjdbc', + 'lasso_datasourceislassomysql', + 'lasso_datasourceismysql', + 'lasso_datasourceisodbc', + 'lasso_datasourceisopenbase', + 'lasso_datasourceisoracle', + 'lasso_datasourceispostgresql', + 'lasso_datasourceisspotlight', + 'lasso_datasourceissqlite', + 'lasso_datasourceissqlserver', + 'lasso_datasourcemodulename', + 'lasso_datatype', + 'lasso_disableondemand', + 'lasso_errorreporting', + 'lasso_executiontimelimit', + 'lasso_parser', + 'lasso_process', + 'lasso_sessionid', + 'lasso_siteid', + 'lasso_siteisrunning', + 'lasso_sitename', + 'lasso_siterestart', + 'lasso_sitestart', + 'lasso_sitestop', + 'lasso_tagexists', + 'lasso_tagmodulename', + 'lasso_uniqueid', + 'lasso_updatecheck', + 'lasso_uptime', + 'lasso_version', + 'lassoapp_create', + 'lassoapp_dump', + 'lassoapp_flattendir', + 'lassoapp_getappdata', + 'lassoapp_link', + 'lassoapp_list', + 'lassoapp_process', + 'lassoapp_unitize', + 'layout_name', + 'ldap', + 'ldap_scope_base', + 'ldap_scope_onelevel', + 'ldap_scope_subtree', + 'ldml', + 'ldml_ldml', + 'library', + 'library_once', + 'link', + 'link_currentaction', + 'link_currentactionparams', + 'link_currentactionurl', + 'link_currentgroup', + 'link_currentgroupparams', + 'link_currentgroupurl', + 'link_currentrecord', + 'link_currentrecordparams', + 'link_currentrecordurl', + 'link_currentsearch', + 'link_currentsearchparams', + 'link_currentsearchurl', + 'link_detail', + 'link_detailparams', + 'link_detailurl', + 'link_firstgroup', + 'link_firstgroupparams', + 'link_firstgroupurl', + 'link_firstrecord', + 'link_firstrecordparams', + 'link_firstrecordurl', + 'link_lastgroup', + 'link_lastgroupparams', + 'link_lastgroupurl', + 'link_lastrecord', + 'link_lastrecordparams', + 'link_lastrecordurl', + 'link_nextgroup', + 'link_nextgroupparams', + 'link_nextgroupurl', + 'link_nextrecord', + 'link_nextrecordparams', + 'link_nextrecordurl', + 'link_params', + 'link_prevgroup', + 'link_prevgroupparams', + 'link_prevgroupurl', + 'link_prevrecord', + 'link_prevrecordparams', + 'link_prevrecordurl', + 'link_setformat', + 'link_url', + 'list', + 'list_additem', + 'list_fromlist', + 'list_fromstring', + 'list_getitem', + 'list_itemcount', + 'list_iterator', + 'list_removeitem', + 'list_replaceitem', + 'list_reverseiterator', + 'list_tostring', + 'literal', + 'ljax_end', + 'ljax_hastarget', + 'ljax_include', + 'ljax_start', + 'ljax_target', + 'local', + 'local_defined', + 'local_remove', + 'local_reset', + 'locale_format', + 'locals', + 'log', + 'log_always', + 'log_critical', + 'log_deprecated', + 'log_destination_console', + 'log_destination_database', + 'log_destination_file', + 'log_detail', + 'log_level_critical', + 'log_level_deprecated', + 'log_level_detail', + 'log_level_sql', + 'log_level_warning', + 'log_setdestination', + 'log_sql', + 'log_warning', + 'logicalop_value', + 'logicaloperator_value', + 'loop', + 'loop_abort', + 'loop_continue', + 'loop_count', + 'lt', + 'lte', + 'magick_image', + 'map', + 'map_iterator', + 'match_comparator', + 'match_notrange', + 'match_notregexp', + 'match_range', + 'match_regexp', + 'math_abs', + 'math_acos', + 'math_add', + 'math_asin', + 'math_atan', + 'math_atan2', + 'math_ceil', + 'math_converteuro', + 'math_cos', + 'math_div', + 'math_exp', + 'math_floor', + 'math_internal_rand', + 'math_internal_randmax', + 'math_internal_srand', + 'math_ln', + 'math_log', + 'math_log10', + 'math_max', + 'math_min', + 'math_mod', + 'math_mult', + 'math_pow', + 'math_random', + 'math_range', + 'math_rint', + 'math_roman', + 'math_round', + 'math_sin', + 'math_sqrt', + 'math_sub', + 'math_tan', + 'maxrecords_value', + 'memory_session_driver', + 'mime_type', + 'minimal', + 'misc__srand', + 'misc_randomnumber', + 'misc_roman', + 'misc_valid_creditcard', + 'mysql_session_driver', + 'named_param', + 'namespace_current', + 'namespace_delimiter', + 'namespace_exists', + 'namespace_file_fullpathexists', + 'namespace_global', + 'namespace_import', + 'namespace_load', + 'namespace_page', + 'namespace_unload', + 'namespace_using', + 'neq', + 'net', + 'net_connectinprogress', + 'net_connectok', + 'net_typessl', + 'net_typessltcp', + 'net_typessludp', + 'net_typetcp', + 'net_typeudp', + 'net_waitread', + 'net_waittimeout', + 'net_waitwrite', + 'no_default_output', + 'none', + 'noprocess', + 'not', + 'nrx', + 'nslookup', + 'null', + 'object', + 'once', + 'oneoff', + 'op_logicalvalue', + 'operator_logicalvalue', + 'option', + 'or', + 'os_process', + 'output', + 'output_none', + 'pair', + 'params_up', + 'pdf_barcode', + 'pdf_color', + 'pdf_doc', + 'pdf_font', + 'pdf_image', + 'pdf_list', + 'pdf_read', + 'pdf_serve', + 'pdf_table', + 'pdf_text', + 'percent', + 'portal', + 'postcondition', + 'precondition', + 'prettyprintingnsmap', + 'prettyprintingtypemap', + 'priorityqueue', + 'private', + 'proc_convert', + 'proc_convertbody', + 'proc_convertone', + 'proc_extract', + 'proc_extractone', + 'proc_find', + 'proc_first', + 'proc_foreach', + 'proc_get', + 'proc_join', + 'proc_lasso', + 'proc_last', + 'proc_map_entry', + 'proc_null', + 'proc_regexp', + 'proc_xml', + 'proc_xslt', + 'process', + 'protect', + 'queue', + 'rand', + 'randomnumber', + 'raw', + 'recid_value', + 'record_count', + 'recordcount', + 'recordid_value', + 'records', + 'records_array', + 'records_map', + 'redirect_url', + 'reference', + 'referer', + 'referer_url', + 'referrer', + 'referrer_url', + 'regexp', + 'repeating', + 'repeating_valueitem', + 'repeatingvalueitem', + 'repetition', + 'req_column', + 'req_field', + 'required_column', + 'required_field', + 'response_fileexists', + 'response_filepath', + 'response_localpath', + 'response_path', + 'response_realm', + 'resultset', + 'resultset_count', + 'return', + 'return_value', + 'reverseiterator', + 'roman', + 'row_count', + 'rows', + 'rows_array', + 'run_children', + 'rx', + 'schema_name', + 'scientific', + 'search_args', + 'search_arguments', + 'search_columnitem', + 'search_fielditem', + 'search_operatoritem', + 'search_opitem', + 'search_valueitem', + 'searchfielditem', + 'searchoperatoritem', + 'searchopitem', + 'searchvalueitem', + 'select', + 'selected', + 'self', + 'serialize', + 'series', + 'server_date', + 'server_day', + 'server_ip', + 'server_name', + 'server_port', + 'server_push', + 'server_siteisrunning', + 'server_sitestart', + 'server_sitestop', + 'server_time', + 'session_abort', + 'session_addoutputfilter', + 'session_addvar', + 'session_addvariable', + 'session_deleteexpired', + 'session_driver', + 'session_end', + 'session_id', + 'session_removevar', + 'session_removevariable', + 'session_result', + 'session_setdriver', + 'session_start', + 'set', + 'set_iterator', + 'set_reverseiterator', + 'shown_count', + 'shown_first', + 'shown_last', + 'site_atbegin', + 'site_id', + 'site_name', + 'site_restart', + 'skiprecords_value', + 'sleep', + 'soap_convertpartstopairs', + 'soap_definetag', + 'soap_info', + 'soap_lastrequest', + 'soap_lastresponse', + 'soap_stub', + 'sort_args', + 'sort_arguments', + 'sort_columnitem', + 'sort_fielditem', + 'sort_orderitem', + 'sortcolumnitem', + 'sortfielditem', + 'sortorderitem', + 'sqlite_createdb', + 'sqlite_session_driver', + 'sqlite_setsleepmillis', + 'sqlite_setsleeptries', + 'srand', + 'stack', + 'stock_quote', + 'string', + 'string_charfromname', + 'string_concatenate', + 'string_countfields', + 'string_endswith', + 'string_extract', + 'string_findposition', + 'string_findregexp', + 'string_fordigit', + 'string_getfield', + 'string_getunicodeversion', + 'string_insert', + 'string_isalpha', + 'string_isalphanumeric', + 'string_isdigit', + 'string_ishexdigit', + 'string_islower', + 'string_isnumeric', + 'string_ispunctuation', + 'string_isspace', + 'string_isupper', + 'string_length', + 'string_lowercase', + 'string_remove', + 'string_removeleading', + 'string_removetrailing', + 'string_replace', + 'string_replaceregexp', + 'string_todecimal', + 'string_tointeger', + 'string_uppercase', + 'string_validcharset', + 'table_name', + 'table_realname', + 'tag', + 'tag_name', + 'tags', + 'tags_find', + 'tags_list', + 'tcp_close', + 'tcp_open', + 'tcp_send', + 'tcp_tcp_close', + 'tcp_tcp_open', + 'tcp_tcp_send', + 'thread_abort', + 'thread_atomic', + 'thread_event', + 'thread_exists', + 'thread_getcurrentid', + 'thread_getpriority', + 'thread_info', + 'thread_list', + 'thread_lock', + 'thread_pipe', + 'thread_priority_default', + 'thread_priority_high', + 'thread_priority_low', + 'thread_rwlock', + 'thread_semaphore', + 'thread_setpriority', + 'token_value', + 'total_records', + 'treemap', + 'treemap_iterator', + 'true', + 'url_rewrite', + 'valid_creditcard', + 'valid_date', + 'valid_email', + 'valid_url', + 'value_list', + 'value_listitem', + 'valuelistitem', + 'var', + 'var_defined', + 'var_remove', + 'var_reset', + 'var_set', + 'variable', + 'variable_defined', + 'variable_set', + 'variables', + 'variant_count', + 'vars', + 'wap_isenabled', + 'wap_maxbuttons', + 'wap_maxcolumns', + 'wap_maxhorzpixels', + 'wap_maxrows', + 'wap_maxvertpixels', + 'while', + 'wsdl_extract', + 'wsdl_getbinding', + 'wsdl_getbindingforoperation', + 'wsdl_getbindingoperations', + 'wsdl_getmessagenamed', + 'wsdl_getmessageparts', + 'wsdl_getmessagetriofromporttype', + 'wsdl_getopbodystyle', + 'wsdl_getopbodyuse', + 'wsdl_getoperation', + 'wsdl_getoplocation', + 'wsdl_getopmessagetypes', + 'wsdl_getopsoapaction', + 'wsdl_getportaddress', + 'wsdl_getportsforservice', + 'wsdl_getporttype', + 'wsdl_getporttypeoperation', + 'wsdl_getservicedocumentation', + 'wsdl_getservices', + 'wsdl_gettargetnamespace', + 'wsdl_issoapoperation', + 'wsdl_listoperations', + 'wsdl_maketest', + 'xml', + 'xml_extract', + 'xml_rpc', + 'xml_rpccall', + 'xml_rw', + 'xml_serve', + 'xml_transform', + 'xml_xml', + 'xml_xmlstream', + 'xmlstream', + 'xsd_attribute', + 'xsd_blankarraybase', + 'xsd_blankbase', + 'xsd_buildtype', + 'xsd_cache', + 'xsd_checkcardinality', + 'xsd_continueall', + 'xsd_continueannotation', + 'xsd_continueany', + 'xsd_continueanyattribute', + 'xsd_continueattribute', + 'xsd_continueattributegroup', + 'xsd_continuechoice', + 'xsd_continuecomplexcontent', + 'xsd_continuecomplextype', + 'xsd_continuedocumentation', + 'xsd_continueextension', + 'xsd_continuegroup', + 'xsd_continuekey', + 'xsd_continuelist', + 'xsd_continuerestriction', + 'xsd_continuesequence', + 'xsd_continuesimplecontent', + 'xsd_continuesimpletype', + 'xsd_continueunion', + 'xsd_deserialize', + 'xsd_fullyqualifyname', + 'xsd_generate', + 'xsd_generateblankfromtype', + 'xsd_generateblanksimpletype', + 'xsd_generatetype', + 'xsd_getschematype', + 'xsd_issimpletype', + 'xsd_loadschema', + 'xsd_lookupnamespaceuri', + 'xsd_lookuptype', + 'xsd_processany', + 'xsd_processattribute', + 'xsd_processattributegroup', + 'xsd_processcomplextype', + 'xsd_processelement', + 'xsd_processgroup', + 'xsd_processimport', + 'xsd_processinclude', + 'xsd_processschema', + 'xsd_processsimpletype', + 'xsd_ref', + 'xsd_type', + ) +} +MEMBERS = { + 'Member Methods': ( + 'abort', + 'abs', + 'accept_charset', + 'accept', + 'acceptconnections', + 'acceptdeserializedelement', + 'acceptnossl', + 'acceptpost', + 'accesskey', + 'acos', + 'acosh', + 'action', + 'actionparams', + 'active_tick', + 'add', + 'addatend', + 'addattachment', + 'addbarcode', + 'addchapter', + 'addcheckbox', + 'addcolumninfo', + 'addcombobox', + 'addcomment', + 'addcomponent', + 'addcomponents', + 'addcss', + 'adddatabasetable', + 'adddatasource', + 'adddatasourcedatabase', + 'adddatasourcehost', + 'adddir', + 'adddirpath', + 'addendjs', + 'addendjstext', + 'adderror', + 'addfavicon', + 'addfile', + 'addgroup', + 'addheader', + 'addhiddenfield', + 'addhtmlpart', + 'addimage', + 'addjavascript', + 'addjs', + 'addjstext', + 'addlist', + 'addmathfunctions', + 'addmember', + 'addoneheaderline', + 'addpage', + 'addparagraph', + 'addpart', + 'addpasswordfield', + 'addphrase', + 'addpostdispatch', + 'addpredispatch', + 'addradiobutton', + 'addradiogroup', + 'addresetbutton', + 'addrow', + 'addsection', + 'addselectlist', + 'addset', + 'addsubmitbutton', + 'addsubnode', + 'addtable', + 'addtask', + 'addtext', + 'addtextarea', + 'addtextfield', + 'addtextpart', + 'addtobuffer', + 'addtrait', + 'adduser', + 'addusertogroup', + 'addwarning', + 'addzip', + 'allocobject', + 'am', + 'ampm', + 'annotate', + 'answer', + 'apop', + 'append', + 'appendarray', + 'appendarraybegin', + 'appendarrayend', + 'appendbool', + 'appendbytes', + 'appendchar', + 'appendchild', + 'appendcolon', + 'appendcomma', + 'appenddata', + 'appenddatetime', + 'appenddbpointer', + 'appenddecimal', + 'appenddocument', + 'appendimagetolist', + 'appendinteger', + 'appendnowutc', + 'appendnull', + 'appendoid', + 'appendregex', + 'appendreplacement', + 'appendstring', + 'appendtail', + 'appendtime', + 'applyheatcolors', + 'appmessage', + 'appname', + 'appprefix', + 'appstatus', + 'arc', + 'archive', + 'arguments', + 'argumentvalue', + 'asarray', + 'asarraystring', + 'asasync', + 'asbytes', + 'ascopy', + 'ascopydeep', + 'asdecimal', + 'asgenerator', + 'asin', + 'asinh', + 'asinteger', + 'askeyedgenerator', + 'aslazystring', + 'aslist', + 'asraw', + 'asstaticarray', + 'asstring', + 'asstringhex', + 'asstringoct', + 'asxml', + 'atan', + 'atan2', + 'atanh', + 'atend', + 'atends', + 'atime', + 'attributecount', + 'attributes', + 'attrs', + 'auth', + 'authenticate', + 'authorize', + 'autocollectbuffer', + 'average', + 'back', + 'basename', + 'basepaths', + 'baseuri', + 'bcc', + 'beginssl', + 'beginswith', + 'begintls', + 'bestcharset', + 'bind_blob', + 'bind_double', + 'bind_int', + 'bind_null', + 'bind_parameter_index', + 'bind_text', + 'bind', + 'bindcount', + 'bindone', + 'bindparam', + 'bitand', + 'bitclear', + 'bitflip', + 'bitformat', + 'bitnot', + 'bitor', + 'bitset', + 'bitshiftleft', + 'bitshiftright', + 'bittest', + 'bitxor', + 'blur', + 'body', + 'bodybytes', + 'boundary', + 'bptoxml', + 'bptypetostr', + 'bucketnumber', + 'buff', + 'buildquery', + 'businessdaysbetween', + 'by', + 'bytes', + 'cachedappprefix', + 'cachedroot', + 'callboolean', + 'callbooleanmethod', + 'callbytemethod', + 'callcharmethod', + 'calldoublemethod', + 'calledname', + 'callfirst', + 'callfloat', + 'callfloatmethod', + 'callint', + 'callintmethod', + 'calllongmethod', + 'callnonvirtualbooleanmethod', + 'callnonvirtualbytemethod', + 'callnonvirtualcharmethod', + 'callnonvirtualdoublemethod', + 'callnonvirtualfloatmethod', + 'callnonvirtualintmethod', + 'callnonvirtuallongmethod', + 'callnonvirtualobjectmethod', + 'callnonvirtualshortmethod', + 'callnonvirtualvoidmethod', + 'callobject', + 'callobjectmethod', + 'callshortmethod', + 'callsite_col', + 'callsite_file', + 'callsite_line', + 'callstack', + 'callstaticboolean', + 'callstaticbooleanmethod', + 'callstaticbytemethod', + 'callstaticcharmethod', + 'callstaticdoublemethod', + 'callstaticfloatmethod', + 'callstaticint', + 'callstaticintmethod', + 'callstaticlongmethod', + 'callstaticobject', + 'callstaticobjectmethod', + 'callstaticshortmethod', + 'callstaticstring', + 'callstaticvoidmethod', + 'callstring', + 'callvoid', + 'callvoidmethod', + 'cancel', + 'cap', + 'capa', + 'capabilities', + 'capi', + 'cbrt', + 'cc', + 'ceil', + 'chardigitvalue', + 'charname', + 'charset', + 'chartype', + 'checkdebugging', + 'checked', + 'checkuser', + 'childnodes', + 'chk', + 'chmod', + 'choosecolumntype', + 'chown', + 'chunked', + 'circle', + 'class', + 'classid', + 'clear', + 'clonenode', + 'close', + 'closepath', + 'closeprepared', + 'closewrite', + 'code', + 'codebase', + 'codetype', + 'colmap', + 'colorspace', + 'column_blob', + 'column_count', + 'column_decltype', + 'column_double', + 'column_int64', + 'column_name', + 'column_text', + 'column_type', + 'command', + 'comments', + 'compare', + 'comparecodepointorder', + 'componentdelimiter', + 'components', + 'composite', + 'compress', + 'concat', + 'condtoint', + 'configureds', + 'configuredskeys', + 'connect', + 'connection', + 'connectionhandler', + 'connhandler', + 'consume_domain', + 'consume_label', + 'consume_message', + 'consume_rdata', + 'consume_string', + 'contains', + 'content_disposition', + 'content_transfer_encoding', + 'content_type', + 'content', + 'contentlength', + 'contents', + 'contenttype', + 'continuation', + 'continuationpacket', + 'continuationpoint', + 'continuationstack', + 'continue', + 'contrast', + 'conventionaltop', + 'convert', + 'cookie', + 'cookies', + 'cookiesarray', + 'cookiesary', + 'copyto', + 'cos', + 'cosh', + 'count', + 'countkeys', + 'country', + 'countusersbygroup', + 'crc', + 'create', + 'createattribute', + 'createattributens', + 'createcdatasection', + 'createcomment', + 'createdocument', + 'createdocumentfragment', + 'createdocumenttype', + 'createelement', + 'createelementns', + 'createentityreference', + 'createindex', + 'createprocessinginstruction', + 'createtable', + 'createtextnode', + 'criteria', + 'crop', + 'csscontent', + 'curl', + 'current', + 'currentfile', + 'curveto', + 'd', + 'data', + 'databasecolumnnames', + 'databasecolumns', + 'databasemap', + 'databasename', + 'datasourcecolumnnames', + 'datasourcecolumns', + 'datasourcemap', + 'date', + 'day', + 'dayofmonth', + 'dayofweek', + 'dayofweekinmonth', + 'dayofyear', + 'days', + 'daysbetween', + 'db', + 'dbtablestable', + 'debug', + 'declare', + 'decodebase64', + 'decodehex', + 'decodehtml', + 'decodeqp', + 'decodeurl', + 'decodexml', + 'decompose', + 'decomposeassignment', + 'defaultcontentrepresentation', + 'defer', + 'deg2rad', + 'dele', + 'delete', + 'deletedata', + 'deleteglobalref', + 'deletelocalref', + 'delim', + 'depth', + 'dereferencepointer', + 'describe', + 'description', + 'deserialize', + 'detach', + 'detectcharset', + 'didinclude', + 'difference', + 'digit', + 'dir', + 'displaycountry', + 'displaylanguage', + 'displayname', + 'displayscript', + 'displayvariant', + 'div', + 'dns_response', + 'do', + 'doatbegins', + 'doatends', + 'doccomment', + 'doclose', + 'doctype', + 'document', + 'documentelement', + 'documentroot', + 'domainbody', + 'done', + 'dosessions', + 'dowithclose', + 'dowlocal', + 'download', + 'drawtext', + 'drop', + 'dropindex', + 'dsdbtable', + 'dshoststable', + 'dsinfo', + 'dst', + 'dstable', + 'dstoffset', + 'dtdid', + 'dup', + 'dup2', + 'each', + 'eachbyte', + 'eachcharacter', + 'eachchild', + 'eachcomponent', + 'eachdir', + 'eachdirpath', + 'eachdirpathrecursive', + 'eachentry', + 'eachfile', + 'eachfilename', + 'eachfilepath', + 'eachfilepathrecursive', + 'eachkey', + 'eachline', + 'eachlinebreak', + 'eachmatch', + 'eachnode', + 'eachpair', + 'eachpath', + 'eachpathrecursive', + 'eachrow', + 'eachsub', + 'eachword', + 'eachwordbreak', + 'element', + 'eligiblepath', + 'eligiblepaths', + 'encodebase64', + 'encodehex', + 'encodehtml', + 'encodehtmltoxml', + 'encodemd5', + 'encodepassword', + 'encodeqp', + 'encodesql', + 'encodesql92', + 'encodeurl', + 'encodevalue', + 'encodexml', + 'encoding', + 'enctype', + 'end', + 'endjs', + 'endssl', + 'endswith', + 'endtls', + 'enhance', + 'ensurestopped', + 'entities', + 'entry', + 'env', + 'equals', + 'era', + 'erf', + 'erfc', + 'err', + 'errcode', + 'errmsg', + 'error', + 'errors', + 'errstack', + 'escape_member', + 'establisherrorstate', + 'exceptioncheck', + 'exceptionclear', + 'exceptiondescribe', + 'exceptionoccurred', + 'exchange', + 'execinits', + 'execinstalls', + 'execute', + 'executelazy', + 'executenow', + 'exists', + 'exit', + 'exitcode', + 'exp', + 'expire', + 'expireminutes', + 'expiresminutes', + 'expm1', + 'export16bits', + 'export32bits', + 'export64bits', + 'export8bits', + 'exportas', + 'exportbytes', + 'exportfdf', + 'exportpointerbits', + 'exportsigned16bits', + 'exportsigned32bits', + 'exportsigned64bits', + 'exportsigned8bits', + 'exportstring', + 'expose', + 'extendedyear', + 'extensiondelimiter', + 'extensions', + 'extract', + 'extractfast', + 'extractfastone', + 'extractimage', + 'extractone', + 'f', + 'fabs', + 'fail', + 'failnoconnectionhandler', + 'family', + 'fatalerror', + 'fcgireq', + 'fchdir', + 'fchmod', + 'fchown', + 'fd', + 'features', + 'fetchdata', + 'fieldnames', + 'fieldposition', + 'fieldstable', + 'fieldtype', + 'fieldvalue', + 'file', + 'filename', + 'filenames', + 'filequeue', + 'fileuploads', + 'fileuploadsary', + 'filterinputcolumn', + 'finalize', + 'find', + 'findall', + 'findandmodify', + 'findbucket', + 'findcase', + 'findclass', + 'findcount', + 'finddescendant', + 'findfirst', + 'findinclude', + 'findinctx', + 'findindex', + 'findlast', + 'findpattern', + 'findposition', + 'findsymbols', + 'first', + 'firstchild', + 'firstcomponent', + 'firstdayofweek', + 'firstnode', + 'fixformat', + 'flags', + 'fliph', + 'flipv', + 'floor', + 'flush', + 'foldcase', + 'foo', + 'for', + 'forcedrowid', + 'foreach', + 'foreachaccept', + 'foreachbyte', + 'foreachcharacter', + 'foreachchild', + 'foreachday', + 'foreachentry', + 'foreachfile', + 'foreachfilename', + 'foreachkey', + 'foreachline', + 'foreachlinebreak', + 'foreachmatch', + 'foreachnode', + 'foreachpair', + 'foreachpathcomponent', + 'foreachrow', + 'foreachspool', + 'foreachsub', + 'foreachwordbreak', + 'form', + 'format', + 'formatas', + 'formatcontextelement', + 'formatcontextelements', + 'formatnumber', + 'free', + 'frexp', + 'from', + 'fromname', + 'fromport', + 'fromreflectedfield', + 'fromreflectedmethod', + 'front', + 'fsync', + 'ftpdeletefile', + 'ftpgetlisting', + 'ftruncate', + 'fullpath', + 'fx', + 'gamma', + 'gatewayinterface', + 'gen', + 'generatechecksum', + 'get', + 'getabswidth', + 'getalignment', + 'getappsource', + 'getarraylength', + 'getattr', + 'getattribute', + 'getattributenamespace', + 'getattributenode', + 'getattributenodens', + 'getattributens', + 'getbarheight', + 'getbarmultiplier', + 'getbarwidth', + 'getbaseline', + 'getbold', + 'getbooleanarrayelements', + 'getbooleanarrayregion', + 'getbooleanfield', + 'getbordercolor', + 'getborderwidth', + 'getbytearrayelements', + 'getbytearrayregion', + 'getbytefield', + 'getchararrayelements', + 'getchararrayregion', + 'getcharfield', + 'getclass', + 'getcode', + 'getcolor', + 'getcolumn', + 'getcolumncount', + 'getcolumns', + 'getdatabasebyalias', + 'getdatabasebyid', + 'getdatabasebyname', + 'getdatabasehost', + 'getdatabasetable', + 'getdatabasetablebyalias', + 'getdatabasetablebyid', + 'getdatabasetablepart', + 'getdatasource', + 'getdatasourcedatabase', + 'getdatasourcedatabasebyid', + 'getdatasourcehost', + 'getdatasourceid', + 'getdatasourcename', + 'getdefaultstorage', + 'getdoublearrayelements', + 'getdoublearrayregion', + 'getdoublefield', + 'getelementbyid', + 'getelementsbytagname', + 'getelementsbytagnamens', + 'getencoding', + 'getface', + 'getfield', + 'getfieldid', + 'getfile', + 'getfloatarrayelements', + 'getfloatarrayregion', + 'getfloatfield', + 'getfont', + 'getformat', + 'getfullfontname', + 'getgroup', + 'getgroupid', + 'getheader', + 'getheaders', + 'gethostdatabase', + 'gethtmlattr', + 'gethtmlattrstring', + 'getinclude', + 'getintarrayelements', + 'getintarrayregion', + 'getintfield', + 'getisocomment', + 'getitalic', + 'getlasterror', + 'getlcapitype', + 'getlibrary', + 'getlongarrayelements', + 'getlongarrayregion', + 'getlongfield', + 'getmargins', + 'getmethodid', + 'getmode', + 'getnameditem', + 'getnameditemns', + 'getnode', + 'getnumericvalue', + 'getobjectarrayelement', + 'getobjectclass', + 'getobjectfield', + 'getpadding', + 'getpagenumber', + 'getparts', + 'getprefs', + 'getpropertyvalue', + 'getprowcount', + 'getpsfontname', + 'getrange', + 'getrowcount', + 'getset', + 'getshortarrayelements', + 'getshortarrayregion', + 'getshortfield', + 'getsize', + 'getsortfieldspart', + 'getspacing', + 'getstaticbooleanfield', + 'getstaticbytefield', + 'getstaticcharfield', + 'getstaticdoublefield', + 'getstaticfieldid', + 'getstaticfloatfield', + 'getstaticintfield', + 'getstaticlongfield', + 'getstaticmethodid', + 'getstaticobjectfield', + 'getstaticshortfield', + 'getstatus', + 'getstringchars', + 'getstringlength', + 'getstyle', + 'getsupportedencodings', + 'gettablebyid', + 'gettext', + 'gettextalignment', + 'gettextsize', + 'gettrigger', + 'gettype', + 'getunderline', + 'getuniquealiasname', + 'getuser', + 'getuserbykey', + 'getuserid', + 'getversion', + 'getzipfilebytes', + 'givenblock', + 'gmt', + 'gotconnection', + 'gotfileupload', + 'groupby', + 'groupcolumns', + 'groupcount', + 'groupjoin', + 'handlebreakpointget', + 'handlebreakpointlist', + 'handlebreakpointremove', + 'handlebreakpointset', + 'handlebreakpointupdate', + 'handlecontextget', + 'handlecontextnames', + 'handlecontinuation', + 'handledefinitionbody', + 'handledefinitionhead', + 'handledefinitionresource', + 'handledevconnection', + 'handleevalexpired', + 'handlefeatureget', + 'handlefeatureset', + 'handlelassoappcontent', + 'handlelassoappresponse', + 'handlenested', + 'handlenormalconnection', + 'handlepop', + 'handleresource', + 'handlesource', + 'handlestackget', + 'handlestderr', + 'handlestdin', + 'handlestdout', + 'handshake', + 'hasattribute', + 'hasattributens', + 'hasattributes', + 'hasbinaryproperty', + 'haschildnodes', + 'hasexpired', + 'hasfeature', + 'hasfield', + 'hash', + 'hashtmlattr', + 'hasmethod', + 'hastable', + 'hastrailingcomponent', + 'hasvalue', + 'head', + 'header', + 'headerbytes', + 'headers', + 'headersarray', + 'headersmap', + 'height', + 'histogram', + 'home', + 'host', + 'hostcolumnnames', + 'hostcolumnnames2', + 'hostcolumns', + 'hostcolumns2', + 'hostdatasource', + 'hostextra', + 'hostid', + 'hostisdynamic', + 'hostmap', + 'hostmap2', + 'hostname', + 'hostpassword', + 'hostport', + 'hostschema', + 'hosttableencoding', + 'hosttonet16', + 'hosttonet32', + 'hosttonet64', + 'hostusername', + 'hour', + 'hourofampm', + 'hourofday', + 'hoursbetween', + 'href', + 'hreflang', + 'htmlcontent', + 'htmlizestacktrace', + 'htmlizestacktracelink', + 'httpaccept', + 'httpacceptencoding', + 'httpacceptlanguage', + 'httpauthorization', + 'httpcachecontrol', + 'httpconnection', + 'httpcookie', + 'httpequiv', + 'httphost', + 'httpreferer', + 'httpreferrer', + 'httpuseragent', + 'hypot', + 'id', + 'idealinmemory', + 'idle', + 'idmap', + 'ifempty', + 'ifkey', + 'ifnotempty', + 'ifnotkey', + 'ignorecase', + 'ilogb', + 'imgptr', + 'implementation', + 'import16bits', + 'import32bits', + 'import64bits', + 'import8bits', + 'importas', + 'importbytes', + 'importfdf', + 'importnode', + 'importpointer', + 'importstring', + 'in', + 'include', + 'includebytes', + 'includelibrary', + 'includelibraryonce', + 'includeonce', + 'includes', + 'includestack', + 'indaylighttime', + 'index', + 'init', + 'initialize', + 'initrequest', + 'inits', + 'inneroncompare', + 'input', + 'inputcolumns', + 'inputtype', + 'insert', + 'insertback', + 'insertbefore', + 'insertdata', + 'insertfirst', + 'insertfrom', + 'insertfront', + 'insertinternal', + 'insertlast', + 'insertpage', + 'install', + 'installs', + 'integer', + 'internalsubset', + 'interrupt', + 'intersection', + 'inttocond', + 'invoke', + 'invokeautocollect', + 'invokeuntil', + 'invokewhile', + 'ioctl', + 'isa', + 'isalive', + 'isallof', + 'isalnum', + 'isalpha', + 'isanyof', + 'isbase', + 'isblank', + 'iscntrl', + 'isdigit', + 'isdir', + 'isdirectory', + 'isempty', + 'isemptyelement', + 'isfirststep', + 'isfullpath', + 'isgraph', + 'ishttps', + 'isidle', + 'isinstanceof', + 'islink', + 'islower', + 'ismultipart', + 'isnan', + 'isnota', + 'isnotempty', + 'isnothing', + 'iso3country', + 'iso3language', + 'isopen', + 'isprint', + 'ispunct', + 'issameobject', + 'isset', + 'issourcefile', + 'isspace', + 'isssl', + 'issupported', + 'istitle', + 'istruetype', + 'istype', + 'isualphabetic', + 'isulowercase', + 'isupper', + 'isuuppercase', + 'isuwhitespace', + 'isvalid', + 'iswhitespace', + 'isxdigit', + 'isxhr', + 'item', + 'j0', + 'j1', + 'javascript', + 'jbarcode', + 'jcolor', + 'jfont', + 'jimage', + 'jlist', + 'jn', + 'jobjectisa', + 'join', + 'jread', + 'jscontent', + 'jsonfornode', + 'jsonhtml', + 'jsonisleaf', + 'jsonlabel', + 'jtable', + 'jtext', + 'julianday', + 'kernel', + 'key', + 'keycolumns', + 'keys', + 'keywords', + 'kill', + 'label', + 'lang', + 'language', + 'last_insert_rowid', + 'last', + 'lastaccessdate', + 'lastaccesstime', + 'lastchild', + 'lastcomponent', + 'lasterror', + 'lastinsertid', + 'lastnode', + 'lastpoint', + 'lasttouched', + 'lazyvalue', + 'ldexp', + 'leaveopen', + 'left', + 'length', + 'lgamma', + 'line', + 'linediffers', + 'linkto', + 'linktype', + 'list', + 'listactivedatasources', + 'listalldatabases', + 'listalltables', + 'listdatabasetables', + 'listdatasourcedatabases', + 'listdatasourcehosts', + 'listdatasources', + 'listen', + 'listgroups', + 'listgroupsbyuser', + 'listhostdatabases', + 'listhosts', + 'listmethods', + 'listnode', + 'listusers', + 'listusersbygroup', + 'loadcerts', + 'loaddatasourcehostinfo', + 'loaddatasourceinfo', + 'loadlibrary', + 'localaddress', + 'localname', + 'locals', + 'lock', + 'log', + 'log10', + 'log1p', + 'logb', + 'lookupnamespace', + 'lop', + 'lowagiefont', + 'lowercase', + 'makecolor', + 'makecolumnlist', + 'makecolumnmap', + 'makecookieyumyum', + 'makefullpath', + 'makeinheritedcopy', + 'makenonrelative', + 'makeurl', + 'map', + 'marker', + 'matches', + 'matchesstart', + 'matchposition', + 'matchstring', + 'matchtriggers', + 'max', + 'maxinmemory', + 'maxlength', + 'maxrows', + 'maxworkers', + 'maybeslash', + 'maybevalue', + 'md5hex', + 'media', + 'members', + 'merge', + 'meta', + 'method', + 'methodname', + 'millisecond', + 'millisecondsinday', + 'mime_boundary', + 'mime_contenttype', + 'mime_hdrs', + 'mime', + 'mimes', + 'min', + 'minute', + 'minutesbetween', + 'moddatestr', + 'mode', + 'modf', + 'modificationdate', + 'modificationtime', + 'modulate', + 'monitorenter', + 'monitorexit', + 'month', + 'moveto', + 'movetoattribute', + 'movetoattributenamespace', + 'movetoelement', + 'movetofirstattribute', + 'movetonextattribute', + 'msg', + 'mtime', + 'multiple', + 'n', + 'name', + 'named', + 'namespaceuri', + 'needinitialization', + 'net', + 'nettohost16', + 'nettohost32', + 'nettohost64', + 'new', + 'newbooleanarray', + 'newbytearray', + 'newchararray', + 'newdoublearray', + 'newfloatarray', + 'newglobalref', + 'newintarray', + 'newlongarray', + 'newobject', + 'newobjectarray', + 'newshortarray', + 'newstring', + 'next', + 'nextafter', + 'nextnode', + 'nextprime', + 'nextprune', + 'nextprunedelta', + 'nextsibling', + 'nodeforpath', + 'nodelist', + 'nodename', + 'nodetype', + 'nodevalue', + 'noop', + 'normalize', + 'notationname', + 'notations', + 'novaluelists', + 'numsets', + 'object', + 'objects', + 'objecttype', + 'onclick', + 'oncompare', + 'oncomparestrict', + 'onconvert', + 'oncreate', + 'ondblclick', + 'onkeydown', + 'onkeypress', + 'onkeyup', + 'onmousedown', + 'onmousemove', + 'onmouseout', + 'onmouseover', + 'onmouseup', + 'onreset', + 'onsubmit', + 'ontop', + 'open', + 'openappend', + 'openread', + 'opentruncate', + 'openwith', + 'openwrite', + 'openwriteonly', + 'orderby', + 'orderbydescending', + 'out', + 'output', + 'outputencoding', + 'ownerdocument', + 'ownerelement', + 'padleading', + 'padtrailing', + 'padzero', + 'pagecount', + 'pagerotation', + 'pagesize', + 'param', + 'paramdescs', + 'params', + 'parent', + 'parentdir', + 'parentnode', + 'parse_body', + 'parse_boundary', + 'parse_charset', + 'parse_content_disposition', + 'parse_content_transfer_encoding', + 'parse_content_type', + 'parse_hdrs', + 'parse_mode', + 'parse_msg', + 'parse_parts', + 'parse_rawhdrs', + 'parse', + 'parseas', + 'parsedocument', + 'parsenumber', + 'parseoneheaderline', + 'pass', + 'path', + 'pathinfo', + 'pathtouri', + 'pathtranslated', + 'pause', + 'payload', + 'pdifference', + 'perform', + 'performonce', + 'perms', + 'pid', + 'pixel', + 'pm', + 'polldbg', + 'pollide', + 'pop_capa', + 'pop_cmd', + 'pop_debug', + 'pop_err', + 'pop_get', + 'pop_ids', + 'pop_index', + 'pop_log', + 'pop_mode', + 'pop_net', + 'pop_res', + 'pop_server', + 'pop_timeout', + 'pop_token', + 'pop', + 'popctx', + 'popinclude', + 'populate', + 'port', + 'position', + 'postdispatch', + 'postparam', + 'postparams', + 'postparamsary', + 'poststring', + 'pow', + 'predispatch', + 'prefix', + 'preflight', + 'prepare', + 'prepared', + 'pretty', + 'prev', + 'previoussibling', + 'printsimplemsg', + 'private_compare', + 'private_find', + 'private_findlast', + 'private_merge', + 'private_rebalanceforinsert', + 'private_rebalanceforremove', + 'private_replaceall', + 'private_replacefirst', + 'private_rotateleft', + 'private_rotateright', + 'private_setrange', + 'private_split', + 'probemimetype', + 'provides', + 'proxying', + 'prune', + 'publicid', + 'pullhttpheader', + 'pullmimepost', + 'pulloneheaderline', + 'pullpost', + 'pullrawpost', + 'pullrawpostchunks', + 'pullrequest', + 'pullrequestline', + 'push', + 'pushctx', + 'pushinclude', + 'qdarray', + 'qdcount', + 'queryparam', + 'queryparams', + 'queryparamsary', + 'querystring', + 'queue_maintenance', + 'queue_messages', + 'queue_status', + 'queue', + 'quit', + 'r', + 'raw', + 'rawcontent', + 'rawdiff', + 'rawheader', + 'rawheaders', + 'rawinvokable', + 'read', + 'readattributevalue', + 'readbytes', + 'readbytesfully', + 'readdestinations', + 'readerror', + 'readidobjects', + 'readline', + 'readmessage', + 'readnumber', + 'readobject', + 'readobjecttcp', + 'readpacket', + 'readsomebytes', + 'readstring', + 'ready', + 'realdoc', + 'realpath', + 'receivefd', + 'recipients', + 'recover', + 'rect', + 'rectype', + 'red', + 'redirectto', + 'referrals', + 'refid', + 'refobj', + 'refresh', + 'rel', + 'remainder', + 'remoteaddr', + 'remoteaddress', + 'remoteport', + 'remove', + 'removeall', + 'removeattribute', + 'removeattributenode', + 'removeattributens', + 'removeback', + 'removechild', + 'removedatabasetable', + 'removedatasource', + 'removedatasourcedatabase', + 'removedatasourcehost', + 'removefield', + 'removefirst', + 'removefront', + 'removegroup', + 'removelast', + 'removeleading', + 'removenameditem', + 'removenameditemns', + 'removenode', + 'removesubnode', + 'removetrailing', + 'removeuser', + 'removeuserfromallgroups', + 'removeuserfromgroup', + 'rename', + 'renderbytes', + 'renderdocumentbytes', + 'renderstring', + 'replace', + 'replaceall', + 'replacechild', + 'replacedata', + 'replacefirst', + 'replaceheader', + 'replacepattern', + 'representnode', + 'representnoderesult', + 'reqid', + 'requestid', + 'requestmethod', + 'requestparams', + 'requesturi', + 'requires', + 'reserve', + 'reset', + 'resize', + 'resolutionh', + 'resolutionv', + 'resolvelinks', + 'resourcedata', + 'resourceinvokable', + 'resourcename', + 'resources', + 'respond', + 'restart', + 'restname', + 'result', + 'results', + 'resume', + 'retr', + 'retrieve', + 'returncolumns', + 'returntype', + 'rev', + 'reverse', + 'rewind', + 'right', + 'rint', + 'roll', + 'root', + 'rootmap', + 'rotate', + 'route', + 'rowsfound', + 'rset', + 'rule', + 'rules', + 'run', + 'running', + 'runonce', + 's', + 'sa', + 'safeexport8bits', + 'sameas', + 'save', + 'savedata', + 'scalb', + 'scale', + 'scanfordatasource', + 'scantasks', + 'scanworkers', + 'schemaname', + 'scheme', + 'script', + 'scriptextensions', + 'scriptfilename', + 'scriptname', + 'scripttype', + 'scripturi', + 'scripturl', + 'scrubkeywords', + 'search', + 'searchinbucket', + 'searchurl', + 'second', + 'secondsbetween', + 'seek', + 'select', + 'selected', + 'selectmany', + 'self', + 'send', + 'sendchunk', + 'sendfd', + 'sendfile', + 'sendpacket', + 'sendresponse', + 'separator', + 'serializationelements', + 'serialize', + 'serveraddr', + 'serveradmin', + 'servername', + 'serverport', + 'serverprotocol', + 'serversignature', + 'serversoftware', + 'sessionsdump', + 'sessionsmap', + 'set', + 'setalignment', + 'setattr', + 'setattribute', + 'setattributenode', + 'setattributenodens', + 'setattributens', + 'setbarheight', + 'setbarmultiplier', + 'setbarwidth', + 'setbaseline', + 'setbold', + 'setbooleanarrayregion', + 'setbooleanfield', + 'setbordercolor', + 'setborderwidth', + 'setbytearrayregion', + 'setbytefield', + 'setchararrayregion', + 'setcharfield', + 'setcode', + 'setcolor', + 'setcolorspace', + 'setcookie', + 'setcwd', + 'setdefaultstorage', + 'setdestination', + 'setdoublearrayregion', + 'setdoublefield', + 'setencoding', + 'setface', + 'setfieldvalue', + 'setfindpattern', + 'setfloatarrayregion', + 'setfloatfield', + 'setfont', + 'setformat', + 'setgeneratechecksum', + 'setheaders', + 'sethtmlattr', + 'setignorecase', + 'setinput', + 'setintarrayregion', + 'setintfield', + 'setitalic', + 'setlinewidth', + 'setlongarrayregion', + 'setlongfield', + 'setmarker', + 'setmaxfilesize', + 'setmode', + 'setname', + 'setnameditem', + 'setnameditemns', + 'setobjectarrayelement', + 'setobjectfield', + 'setpadding', + 'setpagenumber', + 'setpagerange', + 'setposition', + 'setrange', + 'setreplacepattern', + 'setshortarrayregion', + 'setshortfield', + 'setshowchecksum', + 'setsize', + 'setspacing', + 'setstaticbooleanfield', + 'setstaticbytefield', + 'setstaticcharfield', + 'setstaticdoublefield', + 'setstaticfloatfield', + 'setstaticintfield', + 'setstaticlongfield', + 'setstaticobjectfield', + 'setstaticshortfield', + 'setstatus', + 'settextalignment', + 'settextsize', + 'settimezone', + 'settrait', + 'setunderline', + 'sharpen', + 'shouldabort', + 'shouldclose', + 'showchecksum', + 'showcode39startstop', + 'showeanguardbars', + 'shutdownrd', + 'shutdownrdwr', + 'shutdownwr', + 'sin', + 'sinh', + 'size', + 'skip', + 'skiprows', + 'sort', + 'sortcolumns', + 'source', + 'sourcecolumn', + 'sourcefile', + 'sourceline', + 'specified', + 'split', + 'splitconnection', + 'splitdebuggingthread', + 'splitextension', + 'splittext', + 'splitthread', + 'splittoprivatedev', + 'splituppath', + 'sql', + 'sqlite3', + 'sqrt', + 'src', + 'srcpath', + 'sslerrfail', + 'stack', + 'standby', + 'start', + 'startone', + 'startup', + 'stat', + 'statement', + 'statementonly', + 'stats', + 'status', + 'statuscode', + 'statusmsg', + 'stdin', + 'step', + 'stls', + 'stop', + 'stoprunning', + 'storedata', + 'stripfirstcomponent', + 'striplastcomponent', + 'style', + 'styletype', + 'sub', + 'subject', + 'subnode', + 'subnodes', + 'substringdata', + 'subtract', + 'subtraits', + 'sum', + 'supportscontentrepresentation', + 'swapbytes', + 'systemid', + 't', + 'tabindex', + 'table', + 'tablecolumnnames', + 'tablecolumns', + 'tablehascolumn', + 'tableizestacktrace', + 'tableizestacktracelink', + 'tablemap', + 'tablename', + 'tables', + 'tabs', + 'tabstr', + 'tag', + 'tagname', + 'take', + 'tan', + 'tanh', + 'target', + 'tasks', + 'tb', + 'tell', + 'testexitcode', + 'testlock', + 'textwidth', + 'thenby', + 'thenbydescending', + 'threadreaddesc', + 'throw', + 'thrownew', + 'time', + 'timezone', + 'title', + 'titlecase', + 'to', + 'token', + 'tolower', + 'top', + 'toreflectedfield', + 'toreflectedmethod', + 'total_changes', + 'totitle', + 'touch', + 'toupper', + 'toxmlstring', + 'trace', + 'trackingid', + 'trait', + 'transform', + 'trigger', + 'trim', + 'trunk', + 'tryfinderrorfile', + 'trylock', + 'tryreadobject', + 'type', + 'typename', + 'uidl', + 'uncompress', + 'unescape', + 'union', + 'uniqueid', + 'unlock', + 'unspool', + 'up', + 'update', + 'updategroup', + 'upload', + 'uppercase', + 'url', + 'used', + 'usemap', + 'user', + 'usercolumns', + 'valid', + 'validate', + 'validatesessionstable', + 'value', + 'values', + 'valuetype', + 'variant', + 'version', + 'wait', + 'waitforcompletion', + 'warnings', + 'week', + 'weekofmonth', + 'weekofyear', + 'where', + 'width', + 'workers', + 'workinginputcolumns', + 'workingkeycolumns', + 'workingkeyfield_name', + 'workingreturncolumns', + 'workingsortcolumns', + 'write', + 'writebodybytes', + 'writebytes', + 'writeheader', + 'writeheaderbytes', + 'writeheaderline', + 'writeid', + 'writemessage', + 'writeobject', + 'writeobjecttcp', + 'writestring', + 'wroteheaders', + 'xhtml', + 'xmllang', + 'y0', + 'y1', + 'year', + 'yearwoy', + 'yn', + 'z', + 'zip', + 'zipfile', + 'zipfilename', + 'zipname', + 'zips', + 'zoneoffset', + ), + 'Lasso 8 Member Tags': ( + 'accept', + 'add', + 'addattachment', + 'addattribute', + 'addbarcode', + 'addchapter', + 'addcheckbox', + 'addchild', + 'addcombobox', + 'addcomment', + 'addcontent', + 'addhiddenfield', + 'addhtmlpart', + 'addimage', + 'addjavascript', + 'addlist', + 'addnamespace', + 'addnextsibling', + 'addpage', + 'addparagraph', + 'addparenttype', + 'addpart', + 'addpasswordfield', + 'addphrase', + 'addprevsibling', + 'addradiobutton', + 'addradiogroup', + 'addresetbutton', + 'addsection', + 'addselectlist', + 'addsibling', + 'addsubmitbutton', + 'addtable', + 'addtext', + 'addtextarea', + 'addtextfield', + 'addtextpart', + 'alarms', + 'annotate', + 'answer', + 'append', + 'appendreplacement', + 'appendtail', + 'arc', + 'asasync', + 'astype', + 'atbegin', + 'atbottom', + 'atend', + 'atfarleft', + 'atfarright', + 'attop', + 'attributecount', + 'attributes', + 'authenticate', + 'authorize', + 'backward', + 'baseuri', + 'bcc', + 'beanproperties', + 'beginswith', + 'bind', + 'bitand', + 'bitclear', + 'bitflip', + 'bitformat', + 'bitnot', + 'bitor', + 'bitset', + 'bitshiftleft', + 'bitshiftright', + 'bittest', + 'bitxor', + 'blur', + 'body', + 'boundary', + 'bytes', + 'call', + 'cancel', + 'capabilities', + 'cc', + 'chardigitvalue', + 'charname', + 'charset', + 'chartype', + 'children', + 'circle', + 'close', + 'closepath', + 'closewrite', + 'code', + 'colorspace', + 'command', + 'comments', + 'compare', + 'comparecodepointorder', + 'compile', + 'composite', + 'connect', + 'contains', + 'content_disposition', + 'content_transfer_encoding', + 'content_type', + 'contents', + 'contrast', + 'convert', + 'crop', + 'curveto', + 'data', + 'date', + 'day', + 'daylights', + 'dayofweek', + 'dayofyear', + 'decrement', + 'delete', + 'depth', + 'describe', + 'description', + 'deserialize', + 'detach', + 'detachreference', + 'difference', + 'digit', + 'document', + 'down', + 'drawtext', + 'dst', + 'dump', + 'endswith', + 'enhance', + 'equals', + 'errors', + 'eval', + 'events', + 'execute', + 'export16bits', + 'export32bits', + 'export64bits', + 'export8bits', + 'exportfdf', + 'exportstring', + 'extract', + 'extractone', + 'fieldnames', + 'fieldtype', + 'fieldvalue', + 'file', + 'find', + 'findindex', + 'findnamespace', + 'findnamespacebyhref', + 'findpattern', + 'findposition', + 'first', + 'firstchild', + 'fliph', + 'flipv', + 'flush', + 'foldcase', + 'foreach', + 'format', + 'forward', + 'freebusies', + 'freezetype', + 'freezevalue', + 'from', + 'fulltype', + 'generatechecksum', + 'get', + 'getabswidth', + 'getalignment', + 'getattribute', + 'getattributenamespace', + 'getbarheight', + 'getbarmultiplier', + 'getbarwidth', + 'getbaseline', + 'getbordercolor', + 'getborderwidth', + 'getcode', + 'getcolor', + 'getcolumncount', + 'getencoding', + 'getface', + 'getfont', + 'getformat', + 'getfullfontname', + 'getheaders', + 'getmargins', + 'getmethod', + 'getnumericvalue', + 'getpadding', + 'getpagenumber', + 'getparams', + 'getproperty', + 'getpsfontname', + 'getrange', + 'getrowcount', + 'getsize', + 'getspacing', + 'getsupportedencodings', + 'gettextalignment', + 'gettextsize', + 'gettype', + 'gmt', + 'groupcount', + 'hasattribute', + 'haschildren', + 'hasvalue', + 'header', + 'headers', + 'height', + 'histogram', + 'hosttonet16', + 'hosttonet32', + 'hour', + 'id', + 'ignorecase', + 'import16bits', + 'import32bits', + 'import64bits', + 'import8bits', + 'importfdf', + 'importstring', + 'increment', + 'input', + 'insert', + 'insertatcurrent', + 'insertfirst', + 'insertfrom', + 'insertlast', + 'insertpage', + 'integer', + 'intersection', + 'invoke', + 'isa', + 'isalnum', + 'isalpha', + 'isbase', + 'iscntrl', + 'isdigit', + 'isemptyelement', + 'islower', + 'isopen', + 'isprint', + 'isspace', + 'istitle', + 'istruetype', + 'isualphabetic', + 'isulowercase', + 'isupper', + 'isuuppercase', + 'isuwhitespace', + 'iswhitespace', + 'iterator', + 'javascript', + 'join', + 'journals', + 'key', + 'keys', + 'last', + 'lastchild', + 'lasterror', + 'left', + 'length', + 'line', + 'listen', + 'localaddress', + 'localname', + 'lock', + 'lookupnamespace', + 'lowercase', + 'marker', + 'matches', + 'matchesstart', + 'matchposition', + 'matchstring', + 'merge', + 'millisecond', + 'minute', + 'mode', + 'modulate', + 'month', + 'moveto', + 'movetoattributenamespace', + 'movetoelement', + 'movetofirstattribute', + 'movetonextattribute', + 'name', + 'namespaces', + 'namespaceuri', + 'nettohost16', + 'nettohost32', + 'newchild', + 'next', + 'nextsibling', + 'nodetype', + 'open', + 'output', + 'padleading', + 'padtrailing', + 'pagecount', + 'pagesize', + 'paraminfo', + 'params', + 'parent', + 'path', + 'pixel', + 'position', + 'prefix', + 'previoussibling', + 'properties', + 'rawheaders', + 'read', + 'readattributevalue', + 'readerror', + 'readfrom', + 'readline', + 'readlock', + 'readstring', + 'readunlock', + 'recipients', + 'rect', + 'refcount', + 'referrals', + 'remoteaddress', + 'remove', + 'removeall', + 'removeattribute', + 'removechild', + 'removecurrent', + 'removefirst', + 'removelast', + 'removeleading', + 'removenamespace', + 'removetrailing', + 'render', + 'replace', + 'replaceall', + 'replacefirst', + 'replacepattern', + 'replacewith', + 'reserve', + 'reset', + 'resolutionh', + 'resolutionv', + 'response', + 'results', + 'retrieve', + 'returntype', + 'reverse', + 'reverseiterator', + 'right', + 'rotate', + 'run', + 'save', + 'scale', + 'search', + 'second', + 'send', + 'serialize', + 'set', + 'setalignment', + 'setbarheight', + 'setbarmultiplier', + 'setbarwidth', + 'setbaseline', + 'setblocking', + 'setbordercolor', + 'setborderwidth', + 'setbytes', + 'setcode', + 'setcolor', + 'setcolorspace', + 'setdatatype', + 'setencoding', + 'setface', + 'setfieldvalue', + 'setfont', + 'setformat', + 'setgeneratechecksum', + 'setheight', + 'setlassodata', + 'setlinewidth', + 'setmarker', + 'setmode', + 'setname', + 'setpadding', + 'setpagenumber', + 'setpagerange', + 'setposition', + 'setproperty', + 'setrange', + 'setshowchecksum', + 'setsize', + 'setspacing', + 'settemplate', + 'settemplatestr', + 'settextalignment', + 'settextdata', + 'settextsize', + 'settype', + 'setunderline', + 'setwidth', + 'setxmldata', + 'sharpen', + 'showchecksum', + 'showcode39startstop', + 'showeanguardbars', + 'signal', + 'signalall', + 'size', + 'smooth', + 'sort', + 'sortwith', + 'split', + 'standards', + 'steal', + 'subject', + 'substring', + 'subtract', + 'swapbytes', + 'textwidth', + 'time', + 'timezones', + 'titlecase', + 'to', + 'todos', + 'tolower', + 'totitle', + 'toupper', + 'transform', + 'trim', + 'type', + 'unescape', + 'union', + 'uniqueid', + 'unlock', + 'unserialize', + 'up', + 'uppercase', + 'value', + 'values', + 'valuetype', + 'wait', + 'waskeyword', + 'week', + 'width', + 'write', + 'writelock', + 'writeto', + 'writeunlock', + 'xmllang', + 'xmlschematype', + 'year', + ) +} diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_lua_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_lua_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..c60bf5a2d021f5d922c464bed59d7d492ea159f8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_lua_builtins.py @@ -0,0 +1,295 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._lua_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + This file contains the names and modules of lua functions + It is able to re-generate itself, but for adding new functions you + probably have to add some callbacks (see function module_callbacks). + + Do not edit the MODULES dict by hand. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from __future__ import print_function + +MODULES = {'basic': ('_G', + '_VERSION', + 'assert', + 'collectgarbage', + 'dofile', + 'error', + 'getmetatable', + 'ipairs', + 'load', + 'loadfile', + 'next', + 'pairs', + 'pcall', + 'print', + 'rawequal', + 'rawget', + 'rawlen', + 'rawset', + 'select', + 'setmetatable', + 'tonumber', + 'tostring', + 'type', + 'xpcall'), + 'bit32': ('bit32.arshift', + 'bit32.band', + 'bit32.bnot', + 'bit32.bor', + 'bit32.btest', + 'bit32.bxor', + 'bit32.extract', + 'bit32.lrotate', + 'bit32.lshift', + 'bit32.replace', + 'bit32.rrotate', + 'bit32.rshift'), + 'coroutine': ('coroutine.create', + 'coroutine.isyieldable', + 'coroutine.resume', + 'coroutine.running', + 'coroutine.status', + 'coroutine.wrap', + 'coroutine.yield'), + 'debug': ('debug.debug', + 'debug.gethook', + 'debug.getinfo', + 'debug.getlocal', + 'debug.getmetatable', + 'debug.getregistry', + 'debug.getupvalue', + 'debug.getuservalue', + 'debug.sethook', + 'debug.setlocal', + 'debug.setmetatable', + 'debug.setupvalue', + 'debug.setuservalue', + 'debug.traceback', + 'debug.upvalueid', + 'debug.upvaluejoin'), + 'io': ('io.close', + 'io.flush', + 'io.input', + 'io.lines', + 'io.open', + 'io.output', + 'io.popen', + 'io.read', + 'io.stderr', + 'io.stdin', + 'io.stdout', + 'io.tmpfile', + 'io.type', + 'io.write'), + 'math': ('math.abs', + 'math.acos', + 'math.asin', + 'math.atan', + 'math.atan2', + 'math.ceil', + 'math.cos', + 'math.cosh', + 'math.deg', + 'math.exp', + 'math.floor', + 'math.fmod', + 'math.frexp', + 'math.huge', + 'math.ldexp', + 'math.log', + 'math.max', + 'math.maxinteger', + 'math.min', + 'math.mininteger', + 'math.modf', + 'math.pi', + 'math.pow', + 'math.rad', + 'math.random', + 'math.randomseed', + 'math.sin', + 'math.sinh', + 'math.sqrt', + 'math.tan', + 'math.tanh', + 'math.tointeger', + 'math.type', + 'math.ult'), + 'modules': ('package.config', + 'package.cpath', + 'package.loaded', + 'package.loadlib', + 'package.path', + 'package.preload', + 'package.searchers', + 'package.searchpath', + 'require'), + 'os': ('os.clock', + 'os.date', + 'os.difftime', + 'os.execute', + 'os.exit', + 'os.getenv', + 'os.remove', + 'os.rename', + 'os.setlocale', + 'os.time', + 'os.tmpname'), + 'string': ('string.byte', + 'string.char', + 'string.dump', + 'string.find', + 'string.format', + 'string.gmatch', + 'string.gsub', + 'string.len', + 'string.lower', + 'string.match', + 'string.pack', + 'string.packsize', + 'string.rep', + 'string.reverse', + 'string.sub', + 'string.unpack', + 'string.upper'), + 'table': ('table.concat', + 'table.insert', + 'table.move', + 'table.pack', + 'table.remove', + 'table.sort', + 'table.unpack'), + 'utf8': ('utf8.char', + 'utf8.charpattern', + 'utf8.codepoint', + 'utf8.codes', + 'utf8.len', + 'utf8.offset')} + +if __name__ == '__main__': # pragma: no cover + import re + import sys + + # urllib ends up wanting to import a module called 'math' -- if + # pygments/lexers is in the path, this ends badly. + for i in range(len(sys.path)-1, -1, -1): + if sys.path[i].endswith('/lexers'): + del sys.path[i] + + try: + from urllib import urlopen + except ImportError: + from urllib.request import urlopen + import pprint + + # you can't generally find out what module a function belongs to if you + # have only its name. Because of this, here are some callback functions + # that recognize if a gioven function belongs to a specific module + def module_callbacks(): + def is_in_coroutine_module(name): + return name.startswith('coroutine.') + + def is_in_modules_module(name): + if name in ['require', 'module'] or name.startswith('package'): + return True + else: + return False + + def is_in_string_module(name): + return name.startswith('string.') + + def is_in_table_module(name): + return name.startswith('table.') + + def is_in_math_module(name): + return name.startswith('math') + + def is_in_io_module(name): + return name.startswith('io.') + + def is_in_os_module(name): + return name.startswith('os.') + + def is_in_debug_module(name): + return name.startswith('debug.') + + return {'coroutine': is_in_coroutine_module, + 'modules': is_in_modules_module, + 'string': is_in_string_module, + 'table': is_in_table_module, + 'math': is_in_math_module, + 'io': is_in_io_module, + 'os': is_in_os_module, + 'debug': is_in_debug_module} + + + + def get_newest_version(): + f = urlopen('http://www.lua.org/manual/') + r = re.compile(r'^(Lua )?\1') + for line in f: + m = r.match(line) + if m is not None: + return m.groups()[0] + + def get_lua_functions(version): + f = urlopen('http://www.lua.org/manual/%s/' % version) + r = re.compile(r'^\1') + functions = [] + for line in f: + m = r.match(line) + if m is not None: + functions.append(m.groups()[0]) + return functions + + def get_function_module(name): + for mod, cb in module_callbacks().items(): + if cb(name): + return mod + if '.' in name: + return name.split('.')[0] + else: + return 'basic' + + def regenerate(filename, modules): + with open(filename) as fp: + content = fp.read() + + header = content[:content.find('MODULES = {')] + footer = content[content.find("if __name__ == '__main__':"):] + + + with open(filename, 'w') as fp: + fp.write(header) + fp.write('MODULES = %s\n\n' % pprint.pformat(modules)) + fp.write(footer) + + def run(): + version = get_newest_version() + functions = set() + for v in ('5.2', version): + print('> Downloading function index for Lua %s' % v) + f = get_lua_functions(v) + print('> %d functions found, %d new:' % + (len(f), len(set(f) - functions))) + functions |= set(f) + + functions = sorted(functions) + + modules = {} + for full_function_name in functions: + print('>> %s' % full_function_name) + m = get_function_module(full_function_name) + modules.setdefault(m, []).append(full_function_name) + modules = {k: tuple(v) for k, v in modules.iteritems()} + + regenerate(__file__, modules) + + run() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_mapping.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_mapping.py new file mode 100644 index 0000000000000000000000000000000000000000..ea54241ca0fd006b3d41a0c546dcaa175b7ba34c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_mapping.py @@ -0,0 +1,500 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._mapping + ~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexer mapping definitions. This file is generated by itself. Everytime + you change something on a builtin lexer definition, run this script from + the lexers folder to update it. + + Do not alter the LEXERS dictionary by hand. + + :copyright: Copyright 2006-2014, 2016 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from __future__ import print_function + +LEXERS = { + 'ABAPLexer': ('pygments.lexers.business', 'ABAP', ('abap',), ('*.abap', '*.ABAP'), ('text/x-abap',)), + 'APLLexer': ('pygments.lexers.apl', 'APL', ('apl',), ('*.apl',), ()), + 'AbnfLexer': ('pygments.lexers.grammar_notation', 'ABNF', ('abnf',), ('*.abnf',), ('text/x-abnf',)), + 'ActionScript3Lexer': ('pygments.lexers.actionscript', 'ActionScript 3', ('as3', 'actionscript3'), ('*.as',), ('application/x-actionscript3', 'text/x-actionscript3', 'text/actionscript3')), + 'ActionScriptLexer': ('pygments.lexers.actionscript', 'ActionScript', ('as', 'actionscript'), ('*.as',), ('application/x-actionscript', 'text/x-actionscript', 'text/actionscript')), + 'AdaLexer': ('pygments.lexers.pascal', 'Ada', ('ada', 'ada95', 'ada2005'), ('*.adb', '*.ads', '*.ada'), ('text/x-ada',)), + 'AdlLexer': ('pygments.lexers.archetype', 'ADL', ('adl',), ('*.adl', '*.adls', '*.adlf', '*.adlx'), ()), + 'AgdaLexer': ('pygments.lexers.haskell', 'Agda', ('agda',), ('*.agda',), ('text/x-agda',)), + 'AheuiLexer': ('pygments.lexers.esoteric', 'Aheui', ('aheui',), ('*.aheui',), ()), + 'AlloyLexer': ('pygments.lexers.dsls', 'Alloy', ('alloy',), ('*.als',), ('text/x-alloy',)), + 'AmbientTalkLexer': ('pygments.lexers.ambient', 'AmbientTalk', ('at', 'ambienttalk', 'ambienttalk/2'), ('*.at',), ('text/x-ambienttalk',)), + 'AmplLexer': ('pygments.lexers.ampl', 'Ampl', ('ampl',), ('*.run',), ()), + 'Angular2HtmlLexer': ('pygments.lexers.templates', 'HTML + Angular2', ('html+ng2',), ('*.ng2',), ()), + 'Angular2Lexer': ('pygments.lexers.templates', 'Angular2', ('ng2',), (), ()), + 'AntlrActionScriptLexer': ('pygments.lexers.parsers', 'ANTLR With ActionScript Target', ('antlr-as', 'antlr-actionscript'), ('*.G', '*.g'), ()), + 'AntlrCSharpLexer': ('pygments.lexers.parsers', 'ANTLR With C# Target', ('antlr-csharp', 'antlr-c#'), ('*.G', '*.g'), ()), + 'AntlrCppLexer': ('pygments.lexers.parsers', 'ANTLR With CPP Target', ('antlr-cpp',), ('*.G', '*.g'), ()), + 'AntlrJavaLexer': ('pygments.lexers.parsers', 'ANTLR With Java Target', ('antlr-java',), ('*.G', '*.g'), ()), + 'AntlrLexer': ('pygments.lexers.parsers', 'ANTLR', ('antlr',), (), ()), + 'AntlrObjectiveCLexer': ('pygments.lexers.parsers', 'ANTLR With ObjectiveC Target', ('antlr-objc',), ('*.G', '*.g'), ()), + 'AntlrPerlLexer': ('pygments.lexers.parsers', 'ANTLR With Perl Target', ('antlr-perl',), ('*.G', '*.g'), ()), + 'AntlrPythonLexer': ('pygments.lexers.parsers', 'ANTLR With Python Target', ('antlr-python',), ('*.G', '*.g'), ()), + 'AntlrRubyLexer': ('pygments.lexers.parsers', 'ANTLR With Ruby Target', ('antlr-ruby', 'antlr-rb'), ('*.G', '*.g'), ()), + 'ApacheConfLexer': ('pygments.lexers.configs', 'ApacheConf', ('apacheconf', 'aconf', 'apache'), ('.htaccess', 'apache.conf', 'apache2.conf'), ('text/x-apacheconf',)), + 'AppleScriptLexer': ('pygments.lexers.scripting', 'AppleScript', ('applescript',), ('*.applescript',), ()), + 'ArduinoLexer': ('pygments.lexers.c_like', 'Arduino', ('arduino',), ('*.ino',), ('text/x-arduino',)), + 'AspectJLexer': ('pygments.lexers.jvm', 'AspectJ', ('aspectj',), ('*.aj',), ('text/x-aspectj',)), + 'AsymptoteLexer': ('pygments.lexers.graphics', 'Asymptote', ('asy', 'asymptote'), ('*.asy',), ('text/x-asymptote',)), + 'AutoItLexer': ('pygments.lexers.automation', 'AutoIt', ('autoit',), ('*.au3',), ('text/x-autoit',)), + 'AutohotkeyLexer': ('pygments.lexers.automation', 'autohotkey', ('ahk', 'autohotkey'), ('*.ahk', '*.ahkl'), ('text/x-autohotkey',)), + 'AwkLexer': ('pygments.lexers.textedit', 'Awk', ('awk', 'gawk', 'mawk', 'nawk'), ('*.awk',), ('application/x-awk',)), + 'BBCodeLexer': ('pygments.lexers.markup', 'BBCode', ('bbcode',), (), ('text/x-bbcode',)), + 'BCLexer': ('pygments.lexers.algebra', 'BC', ('bc',), ('*.bc',), ()), + 'BSTLexer': ('pygments.lexers.bibtex', 'BST', ('bst', 'bst-pybtex'), ('*.bst',), ()), + 'BaseMakefileLexer': ('pygments.lexers.make', 'Base Makefile', ('basemake',), (), ()), + 'BashLexer': ('pygments.lexers.shell', 'Bash', ('bash', 'sh', 'ksh', 'zsh', 'shell'), ('*.sh', '*.ksh', '*.bash', '*.ebuild', '*.eclass', '*.exheres-0', '*.exlib', '*.zsh', '.bashrc', 'bashrc', '.bash_*', 'bash_*', 'zshrc', '.zshrc', 'PKGBUILD'), ('application/x-sh', 'application/x-shellscript')), + 'BashSessionLexer': ('pygments.lexers.shell', 'Bash Session', ('console', 'shell-session'), ('*.sh-session', '*.shell-session'), ('application/x-shell-session', 'application/x-sh-session')), + 'BatchLexer': ('pygments.lexers.shell', 'Batchfile', ('bat', 'batch', 'dosbatch', 'winbatch'), ('*.bat', '*.cmd'), ('application/x-dos-batch',)), + 'BefungeLexer': ('pygments.lexers.esoteric', 'Befunge', ('befunge',), ('*.befunge',), ('application/x-befunge',)), + 'BibTeXLexer': ('pygments.lexers.bibtex', 'BibTeX', ('bib', 'bibtex'), ('*.bib',), ('text/x-bibtex',)), + 'BlitzBasicLexer': ('pygments.lexers.basic', 'BlitzBasic', ('blitzbasic', 'b3d', 'bplus'), ('*.bb', '*.decls'), ('text/x-bb',)), + 'BlitzMaxLexer': ('pygments.lexers.basic', 'BlitzMax', ('blitzmax', 'bmax'), ('*.bmx',), ('text/x-bmx',)), + 'BnfLexer': ('pygments.lexers.grammar_notation', 'BNF', ('bnf',), ('*.bnf',), ('text/x-bnf',)), + 'BooLexer': ('pygments.lexers.dotnet', 'Boo', ('boo',), ('*.boo',), ('text/x-boo',)), + 'BoogieLexer': ('pygments.lexers.verification', 'Boogie', ('boogie',), ('*.bpl',), ()), + 'BrainfuckLexer': ('pygments.lexers.esoteric', 'Brainfuck', ('brainfuck', 'bf'), ('*.bf', '*.b'), ('application/x-brainfuck',)), + 'BroLexer': ('pygments.lexers.dsls', 'Bro', ('bro',), ('*.bro',), ()), + 'BugsLexer': ('pygments.lexers.modeling', 'BUGS', ('bugs', 'winbugs', 'openbugs'), ('*.bug',), ()), + 'CAmkESLexer': 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('*.pot', '*.po'), ('application/x-gettext', 'text/x-gettext', 'text/gettext')), + 'GherkinLexer': ('pygments.lexers.testing', 'Gherkin', ('cucumber', 'gherkin'), ('*.feature',), ('text/x-gherkin',)), + 'GnuplotLexer': ('pygments.lexers.graphics', 'Gnuplot', ('gnuplot',), ('*.plot', '*.plt'), ('text/x-gnuplot',)), + 'GoLexer': ('pygments.lexers.go', 'Go', ('go',), ('*.go',), ('text/x-gosrc',)), + 'GoloLexer': ('pygments.lexers.jvm', 'Golo', ('golo',), ('*.golo',), ()), + 'GoodDataCLLexer': ('pygments.lexers.business', 'GoodData-CL', ('gooddata-cl',), ('*.gdc',), ('text/x-gooddata-cl',)), + 'GosuLexer': ('pygments.lexers.jvm', 'Gosu', ('gosu',), ('*.gs', '*.gsx', '*.gsp', '*.vark'), ('text/x-gosu',)), + 'GosuTemplateLexer': ('pygments.lexers.jvm', 'Gosu Template', ('gst',), ('*.gst',), ('text/x-gosu-template',)), + 'GroffLexer': ('pygments.lexers.markup', 'Groff', ('groff', 'nroff', 'man'), ('*.[1234567]', '*.man'), ('application/x-troff', 'text/troff')), + 'GroovyLexer': 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(), ('text/html+django', 'text/html+jinja')), + 'HtmlGenshiLexer': ('pygments.lexers.templates', 'HTML+Genshi', ('html+genshi', 'html+kid'), (), ('text/html+genshi',)), + 'HtmlLexer': ('pygments.lexers.html', 'HTML', ('html',), ('*.html', '*.htm', '*.xhtml', '*.xslt'), ('text/html', 'application/xhtml+xml')), + 'HtmlPhpLexer': ('pygments.lexers.templates', 'HTML+PHP', ('html+php',), ('*.phtml',), ('application/x-php', 'application/x-httpd-php', 'application/x-httpd-php3', 'application/x-httpd-php4', 'application/x-httpd-php5')), + 'HtmlSmartyLexer': ('pygments.lexers.templates', 'HTML+Smarty', ('html+smarty',), (), ('text/html+smarty',)), + 'HttpLexer': ('pygments.lexers.textfmts', 'HTTP', ('http',), (), ()), + 'HxmlLexer': ('pygments.lexers.haxe', 'Hxml', ('haxeml', 'hxml'), ('*.hxml',), ()), + 'HyLexer': ('pygments.lexers.lisp', 'Hy', ('hylang',), ('*.hy',), ('text/x-hy', 'application/x-hy')), + 'HybrisLexer': ('pygments.lexers.scripting', 'Hybris', ('hybris', 'hy'), ('*.hy', 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'application/x-juttle', 'text/x-juttle', 'text/juttle')), + 'KalLexer': ('pygments.lexers.javascript', 'Kal', ('kal',), ('*.kal',), ('text/kal', 'application/kal')), + 'KconfigLexer': ('pygments.lexers.configs', 'Kconfig', ('kconfig', 'menuconfig', 'linux-config', 'kernel-config'), ('Kconfig', '*Config.in*', 'external.in*', 'standard-modules.in'), ('text/x-kconfig',)), + 'KokaLexer': ('pygments.lexers.haskell', 'Koka', ('koka',), ('*.kk', '*.kki'), ('text/x-koka',)), + 'KotlinLexer': ('pygments.lexers.jvm', 'Kotlin', ('kotlin',), ('*.kt',), ('text/x-kotlin',)), + 'LSLLexer': ('pygments.lexers.scripting', 'LSL', ('lsl',), ('*.lsl',), ('text/x-lsl',)), + 'LassoCssLexer': ('pygments.lexers.templates', 'CSS+Lasso', ('css+lasso',), (), ('text/css+lasso',)), + 'LassoHtmlLexer': ('pygments.lexers.templates', 'HTML+Lasso', ('html+lasso',), (), ('text/html+lasso', 'application/x-httpd-lasso', 'application/x-httpd-lasso[89]')), + 'LassoJavascriptLexer': ('pygments.lexers.templates', 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('*.lagda',), ('text/x-literate-agda',)), + 'LiterateCryptolLexer': ('pygments.lexers.haskell', 'Literate Cryptol', ('lcry', 'literate-cryptol', 'lcryptol'), ('*.lcry',), ('text/x-literate-cryptol',)), + 'LiterateHaskellLexer': ('pygments.lexers.haskell', 'Literate Haskell', ('lhs', 'literate-haskell', 'lhaskell'), ('*.lhs',), ('text/x-literate-haskell',)), + 'LiterateIdrisLexer': ('pygments.lexers.haskell', 'Literate Idris', ('lidr', 'literate-idris', 'lidris'), ('*.lidr',), ('text/x-literate-idris',)), + 'LiveScriptLexer': ('pygments.lexers.javascript', 'LiveScript', ('live-script', 'livescript'), ('*.ls',), ('text/livescript',)), + 'LlvmLexer': ('pygments.lexers.asm', 'LLVM', ('llvm',), ('*.ll',), ('text/x-llvm',)), + 'LogosLexer': ('pygments.lexers.objective', 'Logos', ('logos',), ('*.x', '*.xi', '*.xm', '*.xmi'), ('text/x-logos',)), + 'LogtalkLexer': ('pygments.lexers.prolog', 'Logtalk', ('logtalk',), ('*.lgt', '*.logtalk'), ('text/x-logtalk',)), + 'LuaLexer': 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'MakoXmlLexer': ('pygments.lexers.templates', 'XML+Mako', ('xml+mako',), (), ('application/xml+mako',)), + 'MaqlLexer': ('pygments.lexers.business', 'MAQL', ('maql',), ('*.maql',), ('text/x-gooddata-maql', 'application/x-gooddata-maql')), + 'MarkdownLexer': ('pygments.lexers.markup', 'markdown', ('md',), ('*.md',), ('text/x-markdown',)), + 'MaskLexer': ('pygments.lexers.javascript', 'Mask', ('mask',), ('*.mask',), ('text/x-mask',)), + 'MasonLexer': ('pygments.lexers.templates', 'Mason', ('mason',), ('*.m', '*.mhtml', '*.mc', '*.mi', 'autohandler', 'dhandler'), ('application/x-mason',)), + 'MathematicaLexer': ('pygments.lexers.algebra', 'Mathematica', ('mathematica', 'mma', 'nb'), ('*.nb', '*.cdf', '*.nbp', '*.ma'), ('application/mathematica', 'application/vnd.wolfram.mathematica', 'application/vnd.wolfram.mathematica.package', 'application/vnd.wolfram.cdf')), + 'MatlabLexer': ('pygments.lexers.matlab', 'Matlab', ('matlab',), ('*.m',), ('text/matlab',)), + 'MatlabSessionLexer': 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('pygments.lexers.markup', 'mozhashpreproc', ('mozhashpreproc',), (), ()), + 'MozPreprocJavascriptLexer': ('pygments.lexers.markup', 'Javascript+mozpreproc', ('javascript+mozpreproc',), ('*.js.in',), ()), + 'MozPreprocPercentLexer': ('pygments.lexers.markup', 'mozpercentpreproc', ('mozpercentpreproc',), (), ()), + 'MozPreprocXulLexer': ('pygments.lexers.markup', 'XUL+mozpreproc', ('xul+mozpreproc',), ('*.xul.in',), ()), + 'MqlLexer': ('pygments.lexers.c_like', 'MQL', ('mql', 'mq4', 'mq5', 'mql4', 'mql5'), ('*.mq4', '*.mq5', '*.mqh'), ('text/x-mql',)), + 'MscgenLexer': ('pygments.lexers.dsls', 'Mscgen', ('mscgen', 'msc'), ('*.msc',), ()), + 'MuPADLexer': ('pygments.lexers.algebra', 'MuPAD', ('mupad',), ('*.mu',), ()), + 'MxmlLexer': ('pygments.lexers.actionscript', 'MXML', ('mxml',), ('*.mxml',), ()), + 'MySqlLexer': ('pygments.lexers.sql', 'MySQL', ('mysql',), (), ('text/x-mysql',)), + 'MyghtyCssLexer': ('pygments.lexers.templates', 'CSS+Myghty', ('css+myghty',), (), ('text/css+myghty',)), + 'MyghtyHtmlLexer': ('pygments.lexers.templates', 'HTML+Myghty', ('html+myghty',), (), ('text/html+myghty',)), + 'MyghtyJavascriptLexer': ('pygments.lexers.templates', 'JavaScript+Myghty', ('js+myghty', 'javascript+myghty'), (), ('application/x-javascript+myghty', 'text/x-javascript+myghty', 'text/javascript+mygthy')), + 'MyghtyLexer': ('pygments.lexers.templates', 'Myghty', ('myghty',), ('*.myt', 'autodelegate'), ('application/x-myghty',)), + 'MyghtyXmlLexer': ('pygments.lexers.templates', 'XML+Myghty', ('xml+myghty',), (), ('application/xml+myghty',)), + 'NCLLexer': ('pygments.lexers.ncl', 'NCL', ('ncl',), ('*.ncl',), ('text/ncl',)), + 'NSISLexer': ('pygments.lexers.installers', 'NSIS', ('nsis', 'nsi', 'nsh'), ('*.nsi', '*.nsh'), ('text/x-nsis',)), + 'NasmLexer': ('pygments.lexers.asm', 'NASM', ('nasm',), ('*.asm', '*.ASM'), ('text/x-nasm',)), + 'NasmObjdumpLexer': ('pygments.lexers.asm', 'objdump-nasm', ('objdump-nasm',), ('*.objdump-intel',), ('text/x-nasm-objdump',)), + 'NemerleLexer': ('pygments.lexers.dotnet', 'Nemerle', ('nemerle',), ('*.n',), ('text/x-nemerle',)), + 'NesCLexer': ('pygments.lexers.c_like', 'nesC', ('nesc',), ('*.nc',), ('text/x-nescsrc',)), + 'NewLispLexer': ('pygments.lexers.lisp', 'NewLisp', ('newlisp',), ('*.lsp', '*.nl', '*.kif'), ('text/x-newlisp', 'application/x-newlisp')), + 'NewspeakLexer': ('pygments.lexers.smalltalk', 'Newspeak', ('newspeak',), ('*.ns2',), ('text/x-newspeak',)), + 'NginxConfLexer': ('pygments.lexers.configs', 'Nginx configuration file', ('nginx',), ('nginx.conf',), ('text/x-nginx-conf',)), + 'NimrodLexer': ('pygments.lexers.nimrod', 'Nimrod', ('nim', 'nimrod'), ('*.nim', '*.nimrod'), ('text/x-nim',)), + 'NitLexer': ('pygments.lexers.nit', 'Nit', ('nit',), ('*.nit',), ()), + 'NixLexer': ('pygments.lexers.nix', 'Nix', ('nixos', 'nix'), ('*.nix',), ('text/x-nix',)), + 'NuSMVLexer': ('pygments.lexers.smv', 'NuSMV', ('nusmv',), ('*.smv',), ()), + 'NumPyLexer': ('pygments.lexers.python', 'NumPy', ('numpy',), (), ()), + 'ObjdumpLexer': ('pygments.lexers.asm', 'objdump', ('objdump',), ('*.objdump',), ('text/x-objdump',)), + 'ObjectiveCLexer': ('pygments.lexers.objective', 'Objective-C', ('objective-c', 'objectivec', 'obj-c', 'objc'), ('*.m', '*.h'), ('text/x-objective-c',)), + 'ObjectiveCppLexer': ('pygments.lexers.objective', 'Objective-C++', ('objective-c++', 'objectivec++', 'obj-c++', 'objc++'), ('*.mm', '*.hh'), ('text/x-objective-c++',)), + 'ObjectiveJLexer': ('pygments.lexers.javascript', 'Objective-J', ('objective-j', 'objectivej', 'obj-j', 'objj'), ('*.j',), ('text/x-objective-j',)), + 'OcamlLexer': ('pygments.lexers.ml', 'OCaml', ('ocaml',), ('*.ml', '*.mli', '*.mll', '*.mly'), ('text/x-ocaml',)), + 'OctaveLexer': ('pygments.lexers.matlab', 'Octave', ('octave',), ('*.m',), ('text/octave',)), + 'OdinLexer': ('pygments.lexers.archetype', 'ODIN', ('odin',), ('*.odin',), ('text/odin',)), + 'OocLexer': ('pygments.lexers.ooc', 'Ooc', ('ooc',), ('*.ooc',), ('text/x-ooc',)), + 'OpaLexer': ('pygments.lexers.ml', 'Opa', ('opa',), ('*.opa',), ('text/x-opa',)), + 'OpenEdgeLexer': ('pygments.lexers.business', 'OpenEdge ABL', ('openedge', 'abl', 'progress'), ('*.p', '*.cls'), ('text/x-openedge', 'application/x-openedge')), + 'PacmanConfLexer': ('pygments.lexers.configs', 'PacmanConf', ('pacmanconf',), ('pacman.conf',), ()), + 'PanLexer': ('pygments.lexers.dsls', 'Pan', ('pan',), ('*.pan',), ()), + 'ParaSailLexer': ('pygments.lexers.parasail', 'ParaSail', ('parasail',), ('*.psi', '*.psl'), ('text/x-parasail',)), + 'PawnLexer': ('pygments.lexers.pawn', 'Pawn', ('pawn',), ('*.p', '*.pwn', '*.inc'), ('text/x-pawn',)), + 'Perl6Lexer': ('pygments.lexers.perl', 'Perl6', ('perl6', 'pl6'), ('*.pl', '*.pm', '*.nqp', '*.p6', '*.6pl', '*.p6l', '*.pl6', '*.6pm', '*.p6m', '*.pm6', '*.t'), ('text/x-perl6', 'application/x-perl6')), + 'PerlLexer': ('pygments.lexers.perl', 'Perl', ('perl', 'pl'), ('*.pl', '*.pm', '*.t'), ('text/x-perl', 'application/x-perl')), + 'PhpLexer': ('pygments.lexers.php', 'PHP', ('php', 'php3', 'php4', 'php5'), ('*.php', '*.php[345]', '*.inc'), ('text/x-php',)), + 'PigLexer': ('pygments.lexers.jvm', 'Pig', ('pig',), ('*.pig',), ('text/x-pig',)), + 'PikeLexer': ('pygments.lexers.c_like', 'Pike', ('pike',), ('*.pike', '*.pmod'), ('text/x-pike',)), + 'PkgConfigLexer': ('pygments.lexers.configs', 'PkgConfig', ('pkgconfig',), ('*.pc',), ()), + 'PlPgsqlLexer': ('pygments.lexers.sql', 'PL/pgSQL', ('plpgsql',), (), ('text/x-plpgsql',)), + 'PostScriptLexer': ('pygments.lexers.graphics', 'PostScript', ('postscript', 'postscr'), ('*.ps', '*.eps'), ('application/postscript',)), + 'PostgresConsoleLexer': ('pygments.lexers.sql', 'PostgreSQL console (psql)', ('psql', 'postgresql-console', 'postgres-console'), (), ('text/x-postgresql-psql',)), + 'PostgresLexer': ('pygments.lexers.sql', 'PostgreSQL SQL dialect', ('postgresql', 'postgres'), (), ('text/x-postgresql',)), + 'PovrayLexer': ('pygments.lexers.graphics', 'POVRay', ('pov',), ('*.pov', '*.inc'), ('text/x-povray',)), + 'PowerShellLexer': ('pygments.lexers.shell', 'PowerShell', ('powershell', 'posh', 'ps1', 'psm1'), ('*.ps1', '*.psm1'), ('text/x-powershell',)), + 'PowerShellSessionLexer': ('pygments.lexers.shell', 'PowerShell Session', ('ps1con',), (), ()), + 'PraatLexer': ('pygments.lexers.praat', 'Praat', ('praat',), ('*.praat', '*.proc', '*.psc'), ()), + 'PrologLexer': ('pygments.lexers.prolog', 'Prolog', ('prolog',), ('*.ecl', '*.prolog', '*.pro', '*.pl'), ('text/x-prolog',)), + 'PropertiesLexer': ('pygments.lexers.configs', 'Properties', ('properties', 'jproperties'), ('*.properties',), ('text/x-java-properties',)), + 'ProtoBufLexer': ('pygments.lexers.dsls', 'Protocol Buffer', ('protobuf', 'proto'), ('*.proto',), ()), + 'PugLexer': ('pygments.lexers.html', 'Pug', ('pug', 'jade'), ('*.pug', '*.jade'), ('text/x-pug', 'text/x-jade')), + 'PuppetLexer': ('pygments.lexers.dsls', 'Puppet', ('puppet',), ('*.pp',), ()), + 'PyPyLogLexer': ('pygments.lexers.console', 'PyPy Log', ('pypylog', 'pypy'), ('*.pypylog',), ('application/x-pypylog',)), + 'Python3Lexer': ('pygments.lexers.python', 'Python 3', ('python3', 'py3'), (), ('text/x-python3', 'application/x-python3')), + 'Python3TracebackLexer': ('pygments.lexers.python', 'Python 3.0 Traceback', ('py3tb',), ('*.py3tb',), ('text/x-python3-traceback',)), + 'PythonConsoleLexer': ('pygments.lexers.python', 'Python console session', ('pycon',), (), ('text/x-python-doctest',)), + 'PythonLexer': ('pygments.lexers.python', 'Python', ('python', 'py', 'sage'), ('*.py', '*.pyw', '*.sc', 'SConstruct', 'SConscript', '*.tac', '*.sage'), ('text/x-python', 'application/x-python')), + 'PythonTracebackLexer': ('pygments.lexers.python', 'Python Traceback', ('pytb',), ('*.pytb',), ('text/x-python-traceback',)), + 'QBasicLexer': ('pygments.lexers.basic', 'QBasic', ('qbasic', 'basic'), ('*.BAS', '*.bas'), ('text/basic',)), + 'QVToLexer': ('pygments.lexers.qvt', 'QVTO', ('qvto', 'qvt'), ('*.qvto',), ()), + 'QmlLexer': ('pygments.lexers.webmisc', 'QML', ('qml', 'qbs'), ('*.qml', '*.qbs'), ('application/x-qml', 'application/x-qt.qbs+qml')), + 'RConsoleLexer': ('pygments.lexers.r', 'RConsole', ('rconsole', 'rout'), ('*.Rout',), ()), + 'RNCCompactLexer': ('pygments.lexers.rnc', 'Relax-NG Compact', ('rnc', 'rng-compact'), ('*.rnc',), ()), + 'RPMSpecLexer': ('pygments.lexers.installers', 'RPMSpec', ('spec',), ('*.spec',), ('text/x-rpm-spec',)), + 'RacketLexer': ('pygments.lexers.lisp', 'Racket', ('racket', 'rkt'), ('*.rkt', '*.rktd', '*.rktl'), ('text/x-racket', 'application/x-racket')), + 'RagelCLexer': ('pygments.lexers.parsers', 'Ragel in C Host', ('ragel-c',), ('*.rl',), ()), + 'RagelCppLexer': ('pygments.lexers.parsers', 'Ragel in CPP Host', ('ragel-cpp',), ('*.rl',), ()), + 'RagelDLexer': ('pygments.lexers.parsers', 'Ragel in D Host', ('ragel-d',), ('*.rl',), ()), + 'RagelEmbeddedLexer': ('pygments.lexers.parsers', 'Embedded Ragel', ('ragel-em',), ('*.rl',), ()), + 'RagelJavaLexer': ('pygments.lexers.parsers', 'Ragel in Java Host', ('ragel-java',), ('*.rl',), ()), + 'RagelLexer': ('pygments.lexers.parsers', 'Ragel', ('ragel',), (), ()), + 'RagelObjectiveCLexer': ('pygments.lexers.parsers', 'Ragel in Objective C Host', ('ragel-objc',), ('*.rl',), ()), + 'RagelRubyLexer': ('pygments.lexers.parsers', 'Ragel in Ruby Host', ('ragel-ruby', 'ragel-rb'), ('*.rl',), ()), + 'RawTokenLexer': ('pygments.lexers.special', 'Raw token data', ('raw',), (), ('application/x-pygments-tokens',)), + 'RdLexer': ('pygments.lexers.r', 'Rd', ('rd',), ('*.Rd',), ('text/x-r-doc',)), + 'RebolLexer': ('pygments.lexers.rebol', 'REBOL', ('rebol',), ('*.r', '*.r3', '*.reb'), ('text/x-rebol',)), + 'RedLexer': ('pygments.lexers.rebol', 'Red', ('red', 'red/system'), ('*.red', '*.reds'), ('text/x-red', 'text/x-red-system')), + 'RedcodeLexer': ('pygments.lexers.esoteric', 'Redcode', ('redcode',), ('*.cw',), ()), + 'RegeditLexer': ('pygments.lexers.configs', 'reg', ('registry',), ('*.reg',), ('text/x-windows-registry',)), + 'ResourceLexer': ('pygments.lexers.resource', 'ResourceBundle', ('resource', 'resourcebundle'), ('*.txt',), ()), + 'RexxLexer': ('pygments.lexers.scripting', 'Rexx', ('rexx', 'arexx'), ('*.rexx', '*.rex', '*.rx', '*.arexx'), ('text/x-rexx',)), + 'RhtmlLexer': ('pygments.lexers.templates', 'RHTML', ('rhtml', 'html+erb', 'html+ruby'), ('*.rhtml',), ('text/html+ruby',)), + 'RoboconfGraphLexer': ('pygments.lexers.roboconf', 'Roboconf Graph', ('roboconf-graph',), ('*.graph',), ()), + 'RoboconfInstancesLexer': ('pygments.lexers.roboconf', 'Roboconf Instances', ('roboconf-instances',), ('*.instances',), ()), + 'RobotFrameworkLexer': ('pygments.lexers.robotframework', 'RobotFramework', ('robotframework',), ('*.txt', '*.robot'), ('text/x-robotframework',)), + 'RqlLexer': ('pygments.lexers.sql', 'RQL', ('rql',), ('*.rql',), ('text/x-rql',)), + 'RslLexer': ('pygments.lexers.dsls', 'RSL', ('rsl',), ('*.rsl',), ('text/rsl',)), + 'RstLexer': ('pygments.lexers.markup', 'reStructuredText', ('rst', 'rest', 'restructuredtext'), ('*.rst', '*.rest'), ('text/x-rst', 'text/prs.fallenstein.rst')), + 'RtsLexer': ('pygments.lexers.trafficscript', 'TrafficScript', ('rts', 'trafficscript'), ('*.rts',), ()), + 'RubyConsoleLexer': ('pygments.lexers.ruby', 'Ruby irb session', ('rbcon', 'irb'), (), ('text/x-ruby-shellsession',)), + 'RubyLexer': ('pygments.lexers.ruby', 'Ruby', ('rb', 'ruby', 'duby'), ('*.rb', '*.rbw', 'Rakefile', '*.rake', '*.gemspec', '*.rbx', '*.duby', 'Gemfile'), ('text/x-ruby', 'application/x-ruby')), + 'RustLexer': ('pygments.lexers.rust', 'Rust', ('rust',), ('*.rs', '*.rs.in'), ('text/rust',)), + 'SASLexer': ('pygments.lexers.sas', 'SAS', ('sas',), ('*.SAS', '*.sas'), ('text/x-sas', 'text/sas', 'application/x-sas')), + 'SLexer': ('pygments.lexers.r', 'S', ('splus', 's', 'r'), ('*.S', '*.R', '.Rhistory', '.Rprofile', '.Renviron'), ('text/S-plus', 'text/S', 'text/x-r-source', 'text/x-r', 'text/x-R', 'text/x-r-history', 'text/x-r-profile')), + 'SMLLexer': ('pygments.lexers.ml', 'Standard ML', ('sml',), ('*.sml', '*.sig', '*.fun'), ('text/x-standardml', 'application/x-standardml')), + 'SassLexer': ('pygments.lexers.css', 'Sass', ('sass',), ('*.sass',), ('text/x-sass',)), + 'ScalaLexer': ('pygments.lexers.jvm', 'Scala', ('scala',), ('*.scala',), ('text/x-scala',)), + 'ScamlLexer': ('pygments.lexers.html', 'Scaml', ('scaml',), ('*.scaml',), ('text/x-scaml',)), + 'SchemeLexer': ('pygments.lexers.lisp', 'Scheme', ('scheme', 'scm'), ('*.scm', '*.ss'), ('text/x-scheme', 'application/x-scheme')), + 'ScilabLexer': ('pygments.lexers.matlab', 'Scilab', ('scilab',), ('*.sci', '*.sce', '*.tst'), ('text/scilab',)), + 'ScssLexer': ('pygments.lexers.css', 'SCSS', ('scss',), ('*.scss',), ('text/x-scss',)), + 'ShenLexer': ('pygments.lexers.lisp', 'Shen', ('shen',), ('*.shen',), ('text/x-shen', 'application/x-shen')), + 'SilverLexer': ('pygments.lexers.verification', 'Silver', ('silver',), ('*.sil', '*.vpr'), ()), + 'SlimLexer': ('pygments.lexers.webmisc', 'Slim', ('slim',), ('*.slim',), ('text/x-slim',)), + 'SmaliLexer': ('pygments.lexers.dalvik', 'Smali', ('smali',), ('*.smali',), ('text/smali',)), + 'SmalltalkLexer': ('pygments.lexers.smalltalk', 'Smalltalk', ('smalltalk', 'squeak', 'st'), ('*.st',), ('text/x-smalltalk',)), + 'SmartyLexer': ('pygments.lexers.templates', 'Smarty', ('smarty',), ('*.tpl',), ('application/x-smarty',)), + 'SnobolLexer': ('pygments.lexers.snobol', 'Snobol', ('snobol',), ('*.snobol',), ('text/x-snobol',)), + 'SnowballLexer': ('pygments.lexers.dsls', 'Snowball', ('snowball',), ('*.sbl',), ()), + 'SourcePawnLexer': ('pygments.lexers.pawn', 'SourcePawn', ('sp',), ('*.sp',), ('text/x-sourcepawn',)), + 'SourcesListLexer': ('pygments.lexers.installers', 'Debian Sourcelist', ('sourceslist', 'sources.list', 'debsources'), ('sources.list',), ()), + 'SparqlLexer': ('pygments.lexers.rdf', 'SPARQL', ('sparql',), ('*.rq', '*.sparql'), ('application/sparql-query',)), + 'SqlLexer': ('pygments.lexers.sql', 'SQL', ('sql',), ('*.sql',), ('text/x-sql',)), + 'SqliteConsoleLexer': ('pygments.lexers.sql', 'sqlite3con', ('sqlite3',), ('*.sqlite3-console',), ('text/x-sqlite3-console',)), + 'SquidConfLexer': ('pygments.lexers.configs', 'SquidConf', ('squidconf', 'squid.conf', 'squid'), ('squid.conf',), ('text/x-squidconf',)), + 'SspLexer': ('pygments.lexers.templates', 'Scalate Server Page', ('ssp',), ('*.ssp',), ('application/x-ssp',)), + 'StanLexer': ('pygments.lexers.modeling', 'Stan', ('stan',), ('*.stan',), ()), + 'StataLexer': ('pygments.lexers.stata', 'Stata', ('stata', 'do'), ('*.do', '*.ado'), ('text/x-stata', 'text/stata', 'application/x-stata')), + 'SuperColliderLexer': ('pygments.lexers.supercollider', 'SuperCollider', ('sc', 'supercollider'), ('*.sc', '*.scd'), ('application/supercollider', 'text/supercollider')), + 'SwiftLexer': ('pygments.lexers.objective', 'Swift', ('swift',), ('*.swift',), ('text/x-swift',)), + 'SwigLexer': ('pygments.lexers.c_like', 'SWIG', ('swig',), ('*.swg', '*.i'), ('text/swig',)), + 'SystemVerilogLexer': ('pygments.lexers.hdl', 'systemverilog', ('systemverilog', 'sv'), ('*.sv', '*.svh'), ('text/x-systemverilog',)), + 'TAPLexer': ('pygments.lexers.testing', 'TAP', ('tap',), ('*.tap',), ()), + 'Tads3Lexer': ('pygments.lexers.int_fiction', 'TADS 3', ('tads3',), ('*.t',), ()), + 'TasmLexer': ('pygments.lexers.asm', 'TASM', ('tasm',), ('*.asm', '*.ASM', '*.tasm'), ('text/x-tasm',)), + 'TclLexer': ('pygments.lexers.tcl', 'Tcl', ('tcl',), ('*.tcl', '*.rvt'), ('text/x-tcl', 'text/x-script.tcl', 'application/x-tcl')), + 'TcshLexer': ('pygments.lexers.shell', 'Tcsh', ('tcsh', 'csh'), ('*.tcsh', '*.csh'), ('application/x-csh',)), + 'TcshSessionLexer': ('pygments.lexers.shell', 'Tcsh Session', ('tcshcon',), (), ()), + 'TeaTemplateLexer': ('pygments.lexers.templates', 'Tea', ('tea',), ('*.tea',), ('text/x-tea',)), + 'TermcapLexer': ('pygments.lexers.configs', 'Termcap', ('termcap',), ('termcap', 'termcap.src'), ()), + 'TerminfoLexer': ('pygments.lexers.configs', 'Terminfo', ('terminfo',), ('terminfo', 'terminfo.src'), ()), + 'TerraformLexer': ('pygments.lexers.configs', 'Terraform', ('terraform', 'tf'), ('*.tf',), ('application/x-tf', 'application/x-terraform')), + 'TexLexer': ('pygments.lexers.markup', 'TeX', ('tex', 'latex'), ('*.tex', '*.aux', '*.toc'), ('text/x-tex', 'text/x-latex')), + 'TextLexer': ('pygments.lexers.special', 'Text only', ('text',), ('*.txt',), ('text/plain',)), + 'ThriftLexer': ('pygments.lexers.dsls', 'Thrift', ('thrift',), ('*.thrift',), ('application/x-thrift',)), + 'TodotxtLexer': ('pygments.lexers.textfmts', 'Todotxt', ('todotxt',), ('todo.txt', '*.todotxt'), ('text/x-todo',)), + 'TransactSqlLexer': ('pygments.lexers.sql', 'Transact-SQL', ('tsql', 't-sql'), ('*.sql',), ('text/x-tsql',)), + 'TreetopLexer': ('pygments.lexers.parsers', 'Treetop', ('treetop',), ('*.treetop', '*.tt'), ()), + 'TurtleLexer': ('pygments.lexers.rdf', 'Turtle', ('turtle',), ('*.ttl',), ('text/turtle', 'application/x-turtle')), + 'TwigHtmlLexer': ('pygments.lexers.templates', 'HTML+Twig', ('html+twig',), ('*.twig',), ('text/html+twig',)), + 'TwigLexer': ('pygments.lexers.templates', 'Twig', ('twig',), (), ('application/x-twig',)), + 'TypeScriptLexer': ('pygments.lexers.javascript', 'TypeScript', ('ts', 'typescript'), ('*.ts',), ('text/x-typescript',)), + 'TypoScriptCssDataLexer': ('pygments.lexers.typoscript', 'TypoScriptCssData', ('typoscriptcssdata',), (), ()), + 'TypoScriptHtmlDataLexer': ('pygments.lexers.typoscript', 'TypoScriptHtmlData', ('typoscripthtmldata',), (), ()), + 'TypoScriptLexer': ('pygments.lexers.typoscript', 'TypoScript', ('typoscript',), ('*.ts', '*.txt'), ('text/x-typoscript',)), + 'UrbiscriptLexer': ('pygments.lexers.urbi', 'UrbiScript', ('urbiscript',), ('*.u',), ('application/x-urbiscript',)), + 'VCLLexer': ('pygments.lexers.varnish', 'VCL', ('vcl',), ('*.vcl',), ('text/x-vclsrc',)), + 'VCLSnippetLexer': ('pygments.lexers.varnish', 'VCLSnippets', ('vclsnippets', 'vclsnippet'), (), ('text/x-vclsnippet',)), + 'VCTreeStatusLexer': ('pygments.lexers.console', 'VCTreeStatus', ('vctreestatus',), (), ()), + 'VGLLexer': ('pygments.lexers.dsls', 'VGL', ('vgl',), ('*.rpf',), ()), + 'ValaLexer': ('pygments.lexers.c_like', 'Vala', ('vala', 'vapi'), ('*.vala', '*.vapi'), ('text/x-vala',)), + 'VbNetAspxLexer': ('pygments.lexers.dotnet', 'aspx-vb', ('aspx-vb',), ('*.aspx', '*.asax', '*.ascx', '*.ashx', '*.asmx', '*.axd'), ()), + 'VbNetLexer': ('pygments.lexers.dotnet', 'VB.net', ('vb.net', 'vbnet'), ('*.vb', '*.bas'), ('text/x-vbnet', 'text/x-vba')), + 'VelocityHtmlLexer': ('pygments.lexers.templates', 'HTML+Velocity', ('html+velocity',), (), ('text/html+velocity',)), + 'VelocityLexer': ('pygments.lexers.templates', 'Velocity', ('velocity',), ('*.vm', '*.fhtml'), ()), + 'VelocityXmlLexer': ('pygments.lexers.templates', 'XML+Velocity', ('xml+velocity',), (), ('application/xml+velocity',)), + 'VerilogLexer': ('pygments.lexers.hdl', 'verilog', ('verilog', 'v'), ('*.v',), ('text/x-verilog',)), + 'VhdlLexer': ('pygments.lexers.hdl', 'vhdl', ('vhdl',), ('*.vhdl', '*.vhd'), ('text/x-vhdl',)), + 'VimLexer': ('pygments.lexers.textedit', 'VimL', ('vim',), ('*.vim', '.vimrc', '.exrc', '.gvimrc', '_vimrc', '_exrc', '_gvimrc', 'vimrc', 'gvimrc'), ('text/x-vim',)), + 'WDiffLexer': ('pygments.lexers.diff', 'WDiff', ('wdiff',), ('*.wdiff',), ()), + 'WhileyLexer': ('pygments.lexers.whiley', 'Whiley', ('whiley',), ('*.whiley',), ('text/x-whiley',)), + 'X10Lexer': ('pygments.lexers.x10', 'X10', ('x10', 'xten'), ('*.x10',), ('text/x-x10',)), + 'XQueryLexer': ('pygments.lexers.webmisc', 'XQuery', ('xquery', 'xqy', 'xq', 'xql', 'xqm'), ('*.xqy', '*.xquery', '*.xq', '*.xql', '*.xqm'), ('text/xquery', 'application/xquery')), + 'XmlDjangoLexer': ('pygments.lexers.templates', 'XML+Django/Jinja', ('xml+django', 'xml+jinja'), (), ('application/xml+django', 'application/xml+jinja')), + 'XmlErbLexer': ('pygments.lexers.templates', 'XML+Ruby', ('xml+erb', 'xml+ruby'), (), ('application/xml+ruby',)), + 'XmlLexer': ('pygments.lexers.html', 'XML', ('xml',), ('*.xml', '*.xsl', '*.rss', '*.xslt', '*.xsd', '*.wsdl', '*.wsf'), ('text/xml', 'application/xml', 'image/svg+xml', 'application/rss+xml', 'application/atom+xml')), + 'XmlPhpLexer': ('pygments.lexers.templates', 'XML+PHP', ('xml+php',), (), ('application/xml+php',)), + 'XmlSmartyLexer': ('pygments.lexers.templates', 'XML+Smarty', ('xml+smarty',), (), ('application/xml+smarty',)), + 'XsltLexer': ('pygments.lexers.html', 'XSLT', ('xslt',), ('*.xsl', '*.xslt', '*.xpl'), ('application/xsl+xml', 'application/xslt+xml')), + 'XtendLexer': ('pygments.lexers.jvm', 'Xtend', ('xtend',), ('*.xtend',), ('text/x-xtend',)), + 'XtlangLexer': ('pygments.lexers.lisp', 'xtlang', ('extempore',), ('*.xtm',), ()), + 'YamlJinjaLexer': ('pygments.lexers.templates', 'YAML+Jinja', ('yaml+jinja', 'salt', 'sls'), ('*.sls',), ('text/x-yaml+jinja', 'text/x-sls')), + 'YamlLexer': ('pygments.lexers.data', 'YAML', ('yaml',), ('*.yaml', '*.yml'), ('text/x-yaml',)), + 'ZephirLexer': ('pygments.lexers.php', 'Zephir', ('zephir',), ('*.zep',), ()), +} + +if __name__ == '__main__': # pragma: no cover + import sys + import os + + # lookup lexers + found_lexers = [] + sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..')) + for root, dirs, files in os.walk('.'): + for filename in files: + if filename.endswith('.py') and not filename.startswith('_'): + module_name = 'pygments.lexers%s.%s' % ( + root[1:].replace('/', '.'), filename[:-3]) + print(module_name) + module = __import__(module_name, None, None, ['']) + for lexer_name in module.__all__: + lexer = getattr(module, lexer_name) + found_lexers.append( + '%r: %r' % (lexer_name, + (module_name, + lexer.name, + tuple(lexer.aliases), + tuple(lexer.filenames), + tuple(lexer.mimetypes)))) + # sort them to make the diff minimal + found_lexers.sort() + + # extract useful sourcecode from this file + with open(__file__) as fp: + content = fp.read() + # replace crnl to nl for Windows. + # + # Note that, originally, contributers should keep nl of master + # repository, for example by using some kind of automatic + # management EOL, like `EolExtension + # `. + content = content.replace("\r\n", "\n") + header = content[:content.find('LEXERS = {')] + footer = content[content.find("if __name__ == '__main__':"):] + + # write new file + with open(__file__, 'w') as fp: + fp.write(header) + fp.write('LEXERS = {\n %s,\n}\n\n' % ',\n '.join(found_lexers)) + fp.write(footer) + + print ('=== %d lexers processed.' % len(found_lexers)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_mql_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_mql_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..6eb600c446780ada9ec9042cbcce9373e646134f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_mql_builtins.py @@ -0,0 +1,1172 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._mql_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Builtins for the MqlLexer. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" +types = ( + 'AccountBalance', + 'AccountCompany', + 'AccountCredit', + 'AccountCurrency', + 'AccountEquity', + 'AccountFreeMarginCheck', + 'AccountFreeMarginMode', + 'AccountFreeMargin', + 'AccountInfoDouble', + 'AccountInfoInteger', + 'AccountInfoString', + 'AccountLeverage', + 'AccountMargin', + 'AccountName', + 'AccountNumber', + 'AccountProfit', + 'AccountServer', + 'AccountStopoutLevel', + 'AccountStopoutMode', + 'Alert', + 'ArrayBsearch', + 'ArrayCompare', + 'ArrayCopyRates', + 'ArrayCopySeries', + 'ArrayCopy', + 'ArrayDimension', + 'ArrayFill', + 'ArrayFree', + 'ArrayGetAsSeries', + 'ArrayInitialize', + 'ArrayIsDynamic', + 'ArrayIsSeries', + 'ArrayMaximum', + 'ArrayMinimum', + 'ArrayRange', + 'ArrayResize', + 'ArraySetAsSeries', + 'ArraySize', + 'ArraySort', + 'CharArrayToString', + 'CharToString', + 'CharToStr', + 'CheckPointer', + 'ColorToARGB', + 'ColorToString', + 'Comment', + 'CopyClose', + 'CopyHigh', + 'CopyLow', + 'CopyOpen', + 'CopyRates', + 'CopyRealVolume', + 'CopySpread', + 'CopyTickVolume', + 'CopyTime', + 'DayOfWeek', + 'DayOfYear', + 'Day', + 'DebugBreak', + 'Digits', + 'DoubleToString', + 'DoubleToStr', + 'EnumToString', + 'EventChartCustom', + 'EventKillTimer', + 'EventSetMillisecondTimer', + 'EventSetTimer', + 'ExpertRemove', + 'FileClose', + 'FileCopy', + 'FileDelete', + 'FileFindClose', + 'FileFindFirst', + 'FileFindNext', + 'FileFlush', + 'FileGetInteger', + 'FileIsEnding', + 'FileIsExist', + 'FileIsLineEnding', + 'FileMove', + 'FileOpenHistory', + 'FileOpen', + 'FileReadArray', + 'FileReadBool', + 'FileReadDatetime', + 'FileReadDouble', + 'FileReadFloat', + 'FileReadInteger', + 'FileReadLong', + 'FileReadNumber', + 'FileReadString', + 'FileReadStruct', + 'FileSeek', + 'FileSize', + 'FileTell', + 'FileWriteArray', + 'FileWriteDouble', + 'FileWriteFloat', + 'FileWriteInteger', + 'FileWriteLong', + 'FileWriteString', + 'FileWriteStruct', + 'FileWrite', + 'FolderClean', + 'FolderCreate', + 'FolderDelete', + 'GetLastError', + 'GetPointer', + 'GetTickCount', + 'GlobalVariableCheck', + 'GlobalVariableDel', + 'GlobalVariableGet', + 'GlobalVariableName', + 'GlobalVariableSetOnCondition', + 'GlobalVariableSet', + 'GlobalVariableTemp', + 'GlobalVariableTime', + 'GlobalVariablesDeleteAll', + 'GlobalVariablesFlush', + 'GlobalVariablesTotal', + 'HideTestIndicators', + 'Hour', + 'IndicatorBuffers', + 'IndicatorCounted', + 'IndicatorDigits', + 'IndicatorSetDouble', + 'IndicatorSetInteger', + 'IndicatorSetString', + 'IndicatorShortName', + 'IntegerToString', + 'IsConnected', + 'IsDemo', + 'IsDllsAllowed', + 'IsExpertEnabled', + 'IsLibrariesAllowed', + 'IsOptimization', + 'IsStopped', + 'IsTesting', + 'IsTradeAllowed', + 'IsTradeContextBusy', + 'IsVisualMode', + 'MQLInfoInteger', + 'MQLInfoString', + 'MarketInfo', + 'MathAbs', + 'MathArccos', + 'MathArcsin', + 'MathArctan', + 'MathCeil', + 'MathCos', + 'MathExp', + 'MathFloor', + 'MathIsValidNumber', + 'MathLog', + 'MathMax', + 'MathMin', + 'MathMod', + 'MathPow', + 'MathRand', + 'MathRound', + 'MathSin', + 'MathSqrt', + 'MathSrand', + 'MathTan', + 'MessageBox', + 'Minute', + 'Month', + 'NormalizeDouble', + 'ObjectCreate', + 'ObjectDelete', + 'ObjectDescription', + 'ObjectFind', + 'ObjectGetDouble', + 'ObjectGetFiboDescription', + 'ObjectGetInteger', + 'ObjectGetShiftByValue', + 'ObjectGetString', + 'ObjectGetTimeByValue', + 'ObjectGetValueByShift', + 'ObjectGetValueByTime', + 'ObjectGet', + 'ObjectMove', + 'ObjectName', + 'ObjectSetDouble', + 'ObjectSetFiboDescription', + 'ObjectSetInteger', + 'ObjectSetString', + 'ObjectSetText', + 'ObjectSet', + 'ObjectType', + 'ObjectsDeleteAll', + 'ObjectsTotal', + 'OrderCloseBy', + 'OrderClosePrice', + 'OrderCloseTime', + 'OrderClose', + 'OrderComment', + 'OrderCommission', + 'OrderDelete', + 'OrderExpiration', + 'OrderLots', + 'OrderMagicNumber', + 'OrderModify', + 'OrderOpenPrice', + 'OrderOpenTime', + 'OrderPrint', + 'OrderProfit', + 'OrderSelect', + 'OrderSend', + 'OrderStopLoss', + 'OrderSwap', + 'OrderSymbol', + 'OrderTakeProfit', + 'OrderTicket', + 'OrderType', + 'OrdersHistoryTotal', + 'OrdersTotal', + 'PeriodSeconds', + 'Period', + 'PlaySound', + 'Point', + 'PrintFormat', + 'Print', + 'RefreshRates', + 'ResetLastError', + 'ResourceCreate', + 'ResourceFree', + 'ResourceReadImage', + 'ResourceSave', + 'Seconds', + 'SendFTP', + 'SendMail', + 'SendNotification', + 'SeriesInfoInteger', + 'SetIndexArrow', + 'SetIndexBuffer', + 'SetIndexDrawBegin', + 'SetIndexEmptyValue', + 'SetIndexLabel', + 'SetIndexShift', + 'SetIndexStyle', + 'SetLevelStyle', + 'SetLevelValue', + 'ShortArrayToString', + 'ShortToString', + 'Sleep', + 'StrToDouble', + 'StrToInteger', + 'StrToTime', + 'StringAdd', + 'StringBufferLen', + 'StringCompare', + 'StringConcatenate', + 'StringFill', + 'StringFind', + 'StringFormat', + 'StringGetCharacter', + 'StringGetChar', + 'StringInit', + 'StringLen', + 'StringReplace', + 'StringSetCharacter', + 'StringSetChar', + 'StringSplit', + 'StringSubstr', + 'StringToCharArray', + 'StringToColor', + 'StringToDouble', + 'StringToInteger', + 'StringToLower', + 'StringToShortArray', + 'StringToTime', + 'StringToUpper', + 'StringTrimLeft', + 'StringTrimRight', + 'StructToTime', + 'SymbolInfoDouble', + 'SymbolInfoInteger', + 'SymbolInfoSessionQuote', + 'SymbolInfoSessionTrade', + 'SymbolInfoString', + 'SymbolInfoTick', + 'SymbolIsSynchronized', + 'SymbolName', + 'SymbolSelect', + 'SymbolsTotal', + 'Symbol', + 'TerminalClose', + 'TerminalCompany', + 'TerminalName', + 'TerminalPath', + 'TesterStatistics', + 'TextGetSize', + 'TextOut', + 'TextSetFont', + 'TimeCurrent', + 'TimeDayOfWeek', + 'TimeDayOfYear', + 'TimeDaylightSavings', + 'TimeDay', + 'TimeGMTOffset', + 'TimeGMT', + 'TimeHour', + 'TimeLocal', + 'TimeMinute', + 'TimeMonth', + 'TimeSeconds', + 'TimeToString', + 'TimeToStruct', + 'TimeToStr', + 'TimeTradeServer', + 'TimeYear', + 'UninitializeReason', + 'WindowBarsPerChart', + 'WindowExpertName', + 'WindowFind', + 'WindowFirstVisibleBar', + 'WindowHandle', + 'WindowIsVisible', + 'WindowOnDropped', + 'WindowPriceMax', + 'WindowPriceMin', + 'WindowPriceOnDropped', + 'WindowRedraw', + 'WindowScreenShot', + 'WindowTimeOnDropped', + 'WindowXOnDropped', + 'WindowYOnDropped', + 'WindowsTotal', + 'Year', + 'ZeroMemory', + 'iAC', + 'iADX', + 'iAD', + 'iAO', + 'iATR', + 'iAlligator', + 'iBWMFI', + 'iBandsOnArray', + 'iBands', + 'iBarShift', + 'iBars', + 'iBearsPower', + 'iBullsPower', + 'iCCIOnArray', + 'iCCI', + 'iClose', + 'iCustom', + 'iDeMarker', + 'iEnvelopesOnArray', + 'iEnvelopes', + 'iForce', + 'iFractals', + 'iGator', + 'iHighest', + 'iHigh', + 'iIchimoku', + 'iLowest', + 'iLow', + 'iMACD', + 'iMAOnArray', + 'iMA', + 'iMFI', + 'iMomentumOnArray', + 'iMomentum', + 'iOBV', + 'iOpen', + 'iOsMA', + 'iRSIOnArray', + 'iRSI', + 'iRVI', + 'iSAR', + 'iStdDevOnArray', + 'iStdDev', + 'iStochastic', + 'iTime', + 'iVolume', + 'iWPR', +) + +constants = ( + 'ACCOUNT_BALANCE', + 'ACCOUNT_COMPANY', + 'ACCOUNT_CREDIT', + 'ACCOUNT_CURRENCY', + 'ACCOUNT_EQUITY', + 'ACCOUNT_FREEMARGIN', + 'ACCOUNT_LEVERAGE', + 'ACCOUNT_LIMIT_ORDERS', + 'ACCOUNT_LOGIN', + 'ACCOUNT_MARGIN', + 'ACCOUNT_MARGIN_LEVEL', + 'ACCOUNT_MARGIN_SO_CALL', + 'ACCOUNT_MARGIN_SO_MODE', + 'ACCOUNT_MARGIN_SO_SO', + 'ACCOUNT_NAME', + 'ACCOUNT_PROFIT', + 'ACCOUNT_SERVER', + 'ACCOUNT_STOPOUT_MODE_MONEY', + 'ACCOUNT_STOPOUT_MODE_PERCENT', + 'ACCOUNT_TRADE_ALLOWED', + 'ACCOUNT_TRADE_EXPERT', + 'ACCOUNT_TRADE_MODE', + 'ACCOUNT_TRADE_MODE_CONTEST', + 'ACCOUNT_TRADE_MODE_DEMO', + 'ACCOUNT_TRADE_MODE_REAL', + 'ALIGN_CENTER', + 'ALIGN_LEFT', + 'ALIGN_RIGHT', + 'ANCHOR_BOTTOM', + 'ANCHOR_CENTER', + 'ANCHOR_LEFT', + 'ANCHOR_LEFT_LOWER', + 'ANCHOR_LEFT_UPPER', + 'ANCHOR_LOWER', + 'ANCHOR_RIGHT', + 'ANCHOR_RIGHT_LOWER', + 'ANCHOR_RIGHT_UPPER', + 'ANCHOR_TOP', + 'ANCHOR_UPPER', + 'BORDER_FLAT', + 'BORDER_RAISED', + 'BORDER_SUNKEN', + 'CHARTEVENT_CHART_CHANGE', + 'CHARTEVENT_CLICK', + 'CHARTEVENT_CUSTOM', + 'CHARTEVENT_CUSTOM_LAST', + 'CHARTEVENT_KEYDOWN', + 'CHARTEVENT_MOUSE_MOVE', + 'CHARTEVENT_OBJECT_CHANGE', + 'CHARTEVENT_OBJECT_CLICK', + 'CHARTEVENT_OBJECT_CREATE', + 'CHARTEVENT_OBJECT_DELETE', + 'CHARTEVENT_OBJECT_DRAG', + 'CHARTEVENT_OBJECT_ENDEDIT', + 'CHARTS_MAX', + 'CHART_AUTOSCROLL', + 'CHART_BARS', + 'CHART_BEGIN', + 'CHART_BRING_TO_TOP', + 'CHART_CANDLES', + 'CHART_COLOR_ASK', + 'CHART_COLOR_BACKGROUND', + 'CHART_COLOR_BID', + 'CHART_COLOR_CANDLE_BEAR', + 'CHART_COLOR_CANDLE_BULL', + 'CHART_COLOR_CHART_DOWN', + 'CHART_COLOR_CHART_LINE', + 'CHART_COLOR_CHART_UP', + 'CHART_COLOR_FOREGROUND', + 'CHART_COLOR_GRID', + 'CHART_COLOR_LAST', + 'CHART_COLOR_STOP_LEVEL', + 'CHART_COLOR_VOLUME', + 'CHART_COMMENT', + 'CHART_CURRENT_POS', + 'CHART_DRAG_TRADE_LEVELS', + 'CHART_END', + 'CHART_EVENT_MOUSE_MOVE', + 'CHART_EVENT_OBJECT_CREATE', + 'CHART_EVENT_OBJECT_DELETE', + 'CHART_FIRST_VISIBLE_BAR', + 'CHART_FIXED_MAX', + 'CHART_FIXED_MIN', + 'CHART_FIXED_POSITION', + 'CHART_FOREGROUND', + 'CHART_HEIGHT_IN_PIXELS', + 'CHART_IS_OBJECT', + 'CHART_LINE', + 'CHART_MODE', + 'CHART_MOUSE_SCROLL', + 'CHART_POINTS_PER_BAR', + 'CHART_PRICE_MAX', + 'CHART_PRICE_MIN', + 'CHART_SCALEFIX', + 'CHART_SCALEFIX_11', + 'CHART_SCALE', + 'CHART_SCALE_PT_PER_BAR', + 'CHART_SHIFT', + 'CHART_SHIFT_SIZE', + 'CHART_SHOW_ASK_LINE', + 'CHART_SHOW_BID_LINE', + 'CHART_SHOW_DATE_SCALE', + 'CHART_SHOW_GRID', + 'CHART_SHOW_LAST_LINE', + 'CHART_SHOW_OBJECT_DESCR', + 'CHART_SHOW_OHLC', + 'CHART_SHOW_PERIOD_SEP', + 'CHART_SHOW_PRICE_SCALE', + 'CHART_SHOW_TRADE_LEVELS', + 'CHART_SHOW_VOLUMES', + 'CHART_VISIBLE_BARS', + 'CHART_VOLUME_HIDE', + 'CHART_VOLUME_REAL', + 'CHART_VOLUME_TICK', + 'CHART_WIDTH_IN_BARS', + 'CHART_WIDTH_IN_PIXELS', + 'CHART_WINDOWS_TOTAL', + 'CHART_WINDOW_HANDLE', + 'CHART_WINDOW_IS_VISIBLE', + 'CHART_WINDOW_YDISTANCE', + 'CHAR_MAX', + 'CHAR_MIN', + 'CLR_NONE', + 'CORNER_LEFT_LOWER', + 'CORNER_LEFT_UPPER', + 'CORNER_RIGHT_LOWER', + 'CORNER_RIGHT_UPPER', + 'CP_ACP', + 'CP_MACCP', + 'CP_OEMCP', + 'CP_SYMBOL', + 'CP_THREAD_ACP', + 'CP_UTF7', + 'CP_UTF8', + 'DBL_DIG', + 'DBL_EPSILON', + 'DBL_MANT_DIG', + 'DBL_MAX', + 'DBL_MAX_10_EXP', + 'DBL_MAX_EXP', + 'DBL_MIN', + 'DBL_MIN_10_EXP', + 'DBL_MIN_EXP', + 'DRAW_ARROW', + 'DRAW_FILLING', + 'DRAW_HISTOGRAM', + 'DRAW_LINE', + 'DRAW_NONE', + 'DRAW_SECTION', + 'DRAW_ZIGZAG', + 'EMPTY', + 'EMPTY_VALUE', + 'ERR_ACCOUNT_DISABLED', + 'ERR_BROKER_BUSY', + 'ERR_COMMON_ERROR', + 'ERR_INVALID_ACCOUNT', + 'ERR_INVALID_PRICE', + 'ERR_INVALID_STOPS', + 'ERR_INVALID_TRADE_PARAMETERS', + 'ERR_INVALID_TRADE_VOLUME', + 'ERR_LONG_POSITIONS_ONLY_ALLOWED', + 'ERR_MALFUNCTIONAL_TRADE', + 'ERR_MARKET_CLOSED', + 'ERR_NOT_ENOUGH_MONEY', + 'ERR_NOT_ENOUGH_RIGHTS', + 'ERR_NO_CONNECTION', + 'ERR_NO_ERROR', + 'ERR_NO_RESULT', + 'ERR_OFF_QUOTES', + 'ERR_OLD_VERSION', + 'ERR_ORDER_LOCKED', + 'ERR_PRICE_CHANGED', + 'ERR_REQUOTE', + 'ERR_SERVER_BUSY', + 'ERR_TOO_FREQUENT_REQUESTS', + 'ERR_TOO_MANY_REQUESTS', + 'ERR_TRADE_CONTEXT_BUSY', + 'ERR_TRADE_DISABLED', + 'ERR_TRADE_EXPIRATION_DENIED', + 'ERR_TRADE_HEDGE_PROHIBITED', + 'ERR_TRADE_MODIFY_DENIED', + 'ERR_TRADE_PROHIBITED_BY_FIFO', + 'ERR_TRADE_TIMEOUT', + 'ERR_TRADE_TOO_MANY_ORDERS', + 'FILE_ACCESS_DATE', + 'FILE_ANSI', + 'FILE_BIN', + 'FILE_COMMON', + 'FILE_CREATE_DATE', + 'FILE_CSV', + 'FILE_END', + 'FILE_EXISTS', + 'FILE_IS_ANSI', + 'FILE_IS_BINARY', + 'FILE_IS_COMMON', + 'FILE_IS_CSV', + 'FILE_IS_READABLE', + 'FILE_IS_TEXT', + 'FILE_IS_WRITABLE', + 'FILE_LINE_END', + 'FILE_MODIFY_DATE', + 'FILE_POSITION', + 'FILE_READ', + 'FILE_REWRITE', + 'FILE_SHARE_READ', + 'FILE_SHARE_WRITE', + 'FILE_SIZE', + 'FILE_TXT', + 'FILE_UNICODE', + 'FILE_WRITE', + 'FLT_DIG', + 'FLT_EPSILON', + 'FLT_MANT_DIG', + 'FLT_MAX', + 'FLT_MAX_10_EXP', + 'FLT_MAX_EXP', + 'FLT_MIN', + 'FLT_MIN_10_EXP', + 'FLT_MIN_EXP', + 'FRIDAY', + 'GANN_DOWN_TREND', + 'GANN_UP_TREND', + 'IDABORT', + 'IDCANCEL', + 'IDCONTINUE', + 'IDIGNORE', + 'IDNO', + 'IDOK', + 'IDRETRY', + 'IDTRYAGAIN', + 'IDYES', + 'INDICATOR_CALCULATIONS', + 'INDICATOR_COLOR_INDEX', + 'INDICATOR_DATA', + 'INDICATOR_DIGITS', + 'INDICATOR_HEIGHT', + 'INDICATOR_LEVELCOLOR', + 'INDICATOR_LEVELSTYLE', + 'INDICATOR_LEVELS', + 'INDICATOR_LEVELTEXT', + 'INDICATOR_LEVELVALUE', + 'INDICATOR_LEVELWIDTH', + 'INDICATOR_MAXIMUM', + 'INDICATOR_MINIMUM', + 'INDICATOR_SHORTNAME', + 'INT_MAX', + 'INT_MIN', + 'INVALID_HANDLE', + 'IS_DEBUG_MODE', + 'IS_PROFILE_MODE', + 'LICENSE_DEMO', + 'LICENSE_FREE', + 'LICENSE_FULL', + 'LICENSE_TIME', + 'LONG_MAX', + 'LONG_MIN', + 'MB_ABORTRETRYIGNORE', + 'MB_CANCELTRYCONTINUE', + 'MB_DEFBUTTON1', + 'MB_DEFBUTTON2', + 'MB_DEFBUTTON3', + 'MB_DEFBUTTON4', + 'MB_ICONASTERISK', + 'MB_ICONERROR', + 'MB_ICONEXCLAMATION', + 'MB_ICONHAND', + 'MB_ICONINFORMATION', + 'MB_ICONQUESTION', + 'MB_ICONSTOP', + 'MB_ICONWARNING', + 'MB_OKCANCEL', + 'MB_OK', + 'MB_RETRYCANCEL', + 'MB_YESNOCANCEL', + 'MB_YESNO', + 'MODE_ASK', + 'MODE_BID', + 'MODE_CHINKOUSPAN', + 'MODE_CLOSE', + 'MODE_DIGITS', + 'MODE_EMA', + 'MODE_EXPIRATION', + 'MODE_FREEZELEVEL', + 'MODE_GATORJAW', + 'MODE_GATORLIPS', + 'MODE_GATORTEETH', + 'MODE_HIGH', + 'MODE_KIJUNSEN', + 'MODE_LOTSIZE', + 'MODE_LOTSTEP', + 'MODE_LOWER', + 'MODE_LOW', + 'MODE_LWMA', + 'MODE_MAIN', + 'MODE_MARGINCALCMODE', + 'MODE_MARGINHEDGED', + 'MODE_MARGININIT', + 'MODE_MARGINMAINTENANCE', + 'MODE_MARGINREQUIRED', + 'MODE_MAXLOT', + 'MODE_MINLOT', + 'MODE_MINUSDI', + 'MODE_OPEN', + 'MODE_PLUSDI', + 'MODE_POINT', + 'MODE_PROFITCALCMODE', + 'MODE_SENKOUSPANA', + 'MODE_SENKOUSPANB', + 'MODE_SIGNAL', + 'MODE_SMA', + 'MODE_SMMA', + 'MODE_SPREAD', + 'MODE_STARTING', + 'MODE_STOPLEVEL', + 'MODE_SWAPLONG', + 'MODE_SWAPSHORT', + 'MODE_SWAPTYPE', + 'MODE_TENKANSEN', + 'MODE_TICKSIZE', + 'MODE_TICKVALUE', + 'MODE_TIME', + 'MODE_TRADEALLOWED', + 'MODE_UPPER', + 'MODE_VOLUME', + 'MONDAY', + 'MQL_DEBUG', + 'MQL_DLLS_ALLOWED', + 'MQL_FRAME_MODE', + 'MQL_LICENSE_TYPE', + 'MQL_OPTIMIZATION', + 'MQL_PROFILER', + 'MQL_PROGRAM_NAME', + 'MQL_PROGRAM_PATH', + 'MQL_PROGRAM_TYPE', + 'MQL_TESTER', + 'MQL_TRADE_ALLOWED', + 'MQL_VISUAL_MODE', + 'M_1_PI', + 'M_2_PI', + 'M_2_SQRTPI', + 'M_E', + 'M_LN2', + 'M_LN10', + 'M_LOG2E', + 'M_LOG10E', + 'M_PI', + 'M_PI_2', + 'M_PI_4', + 'M_SQRT1_2', + 'M_SQRT2', + 'NULL', + 'OBJPROP_ALIGN', + 'OBJPROP_ANCHOR', + 'OBJPROP_ANGLE', + 'OBJPROP_ARROWCODE', + 'OBJPROP_BACK', + 'OBJPROP_BGCOLOR', + 'OBJPROP_BMPFILE', + 'OBJPROP_BORDER_COLOR', + 'OBJPROP_BORDER_TYPE', + 'OBJPROP_CHART_ID', + 'OBJPROP_CHART_SCALE', + 'OBJPROP_COLOR', + 'OBJPROP_CORNER', + 'OBJPROP_CREATETIME', + 'OBJPROP_DATE_SCALE', + 'OBJPROP_DEVIATION', + 'OBJPROP_DRAWLINES', + 'OBJPROP_ELLIPSE', + 'OBJPROP_FIBOLEVELS', + 'OBJPROP_FILL', + 'OBJPROP_FIRSTLEVEL', + 'OBJPROP_FONTSIZE', + 'OBJPROP_FONT', + 'OBJPROP_HIDDEN', + 'OBJPROP_LEVELCOLOR', + 'OBJPROP_LEVELSTYLE', + 'OBJPROP_LEVELS', + 'OBJPROP_LEVELTEXT', + 'OBJPROP_LEVELVALUE', + 'OBJPROP_LEVELWIDTH', + 'OBJPROP_NAME', + 'OBJPROP_PERIOD', + 'OBJPROP_PRICE1', + 'OBJPROP_PRICE2', + 'OBJPROP_PRICE3', + 'OBJPROP_PRICE', + 'OBJPROP_PRICE_SCALE', + 'OBJPROP_RAY', + 'OBJPROP_RAY_RIGHT', + 'OBJPROP_READONLY', + 'OBJPROP_SCALE', + 'OBJPROP_SELECTABLE', + 'OBJPROP_SELECTED', + 'OBJPROP_STATE', + 'OBJPROP_STYLE', + 'OBJPROP_SYMBOL', + 'OBJPROP_TEXT', + 'OBJPROP_TIME1', + 'OBJPROP_TIME2', + 'OBJPROP_TIME3', + 'OBJPROP_TIMEFRAMES', + 'OBJPROP_TIME', + 'OBJPROP_TOOLTIP', + 'OBJPROP_TYPE', + 'OBJPROP_WIDTH', + 'OBJPROP_XDISTANCE', + 'OBJPROP_XOFFSET', + 'OBJPROP_XSIZE', + 'OBJPROP_YDISTANCE', + 'OBJPROP_YOFFSET', + 'OBJPROP_YSIZE', + 'OBJPROP_ZORDER', + 'OBJ_ALL_PERIODS', + 'OBJ_ARROW', + 'OBJ_ARROW_BUY', + 'OBJ_ARROW_CHECK', + 'OBJ_ARROW_DOWN', + 'OBJ_ARROW_LEFT_PRICE', + 'OBJ_ARROW_RIGHT_PRICE', + 'OBJ_ARROW_SELL', + 'OBJ_ARROW_STOP', + 'OBJ_ARROW_THUMB_DOWN', + 'OBJ_ARROW_THUMB_UP', + 'OBJ_ARROW_UP', + 'OBJ_BITMAP', + 'OBJ_BITMAP_LABEL', + 'OBJ_BUTTON', + 'OBJ_CHANNEL', + 'OBJ_CYCLES', + 'OBJ_EDIT', + 'OBJ_ELLIPSE', + 'OBJ_EVENT', + 'OBJ_EXPANSION', + 'OBJ_FIBOARC', + 'OBJ_FIBOCHANNEL', + 'OBJ_FIBOFAN', + 'OBJ_FIBOTIMES', + 'OBJ_FIBO', + 'OBJ_GANNFAN', + 'OBJ_GANNGRID', + 'OBJ_GANNLINE', + 'OBJ_HLINE', + 'OBJ_LABEL', + 'OBJ_NO_PERIODS', + 'OBJ_PERIOD_D1', + 'OBJ_PERIOD_H1', + 'OBJ_PERIOD_H4', + 'OBJ_PERIOD_M1', + 'OBJ_PERIOD_M5', + 'OBJ_PERIOD_M15', + 'OBJ_PERIOD_M30', + 'OBJ_PERIOD_MN1', + 'OBJ_PERIOD_W1', + 'OBJ_PITCHFORK', + 'OBJ_RECTANGLE', + 'OBJ_RECTANGLE_LABEL', + 'OBJ_REGRESSION', + 'OBJ_STDDEVCHANNEL', + 'OBJ_TEXT', + 'OBJ_TRENDBYANGLE', + 'OBJ_TREND', + 'OBJ_TRIANGLE', + 'OBJ_VLINE', + 'OP_BUYLIMIT', + 'OP_BUYSTOP', + 'OP_BUY', + 'OP_SELLLIMIT', + 'OP_SELLSTOP', + 'OP_SELL', + 'PERIOD_CURRENT', + 'PERIOD_D1', + 'PERIOD_H1', + 'PERIOD_H2', + 'PERIOD_H3', + 'PERIOD_H4', + 'PERIOD_H6', + 'PERIOD_H8', + 'PERIOD_H12', + 'PERIOD_M1', + 'PERIOD_M2', + 'PERIOD_M3', + 'PERIOD_M4', + 'PERIOD_M5', + 'PERIOD_M6', + 'PERIOD_M10', + 'PERIOD_M12', + 'PERIOD_M15', + 'PERIOD_M20', + 'PERIOD_M30', + 'PERIOD_MN1', + 'PERIOD_W1', + 'POINTER_AUTOMATIC', + 'POINTER_DYNAMIC', + 'POINTER_INVALID' + 'PRICE_CLOSE', + 'PRICE_HIGH', + 'PRICE_LOW', + 'PRICE_MEDIAN', + 'PRICE_OPEN', + 'PRICE_TYPICAL', + 'PRICE_WEIGHTED', + 'PROGRAM_EXPERT', + 'PROGRAM_INDICATOR', + 'PROGRAM_SCRIPT', + 'REASON_ACCOUNT', + 'REASON_CHARTCHANGE', + 'REASON_CHARTCLOSE', + 'REASON_CLOSE', + 'REASON_INITFAILED', + 'REASON_PARAMETERS', + 'REASON_PROGRAM' + 'REASON_RECOMPILE', + 'REASON_REMOVE', + 'REASON_TEMPLATE', + 'SATURDAY', + 'SEEK_CUR', + 'SEEK_END', + 'SEEK_SET', + 'SERIES_BARS_COUNT', + 'SERIES_FIRSTDATE', + 'SERIES_LASTBAR_DATE', + 'SERIES_SERVER_FIRSTDATE', + 'SERIES_SYNCHRONIZED', + 'SERIES_TERMINAL_FIRSTDATE', + 'SHORT_MAX', + 'SHORT_MIN', + 'STAT_BALANCEDD_PERCENT', + 'STAT_BALANCEMIN', + 'STAT_BALANCE_DDREL_PERCENT', + 'STAT_BALANCE_DD', + 'STAT_BALANCE_DD_RELATIVE', + 'STAT_CONLOSSMAX', + 'STAT_CONLOSSMAX_TRADES', + 'STAT_CONPROFITMAX', + 'STAT_CONPROFITMAX_TRADES', + 'STAT_CUSTOM_ONTESTER', + 'STAT_DEALS', + 'STAT_EQUITYDD_PERCENT', + 'STAT_EQUITYMIN', + 'STAT_EQUITY_DDREL_PERCENT', + 'STAT_EQUITY_DD', + 'STAT_EQUITY_DD_RELATIVE', + 'STAT_EXPECTED_PAYOFF', + 'STAT_GROSS_LOSS', + 'STAT_GROSS_PROFIT', + 'STAT_INITIAL_DEPOSIT', + 'STAT_LONG_TRADES', + 'STAT_LOSSTRADES_AVGCON', + 'STAT_LOSS_TRADES', + 'STAT_MAX_CONLOSSES', + 'STAT_MAX_CONLOSS_TRADES', + 'STAT_MAX_CONPROFIT_TRADES', + 'STAT_MAX_CONWINS', + 'STAT_MAX_LOSSTRADE', + 'STAT_MAX_PROFITTRADE', + 'STAT_MIN_MARGINLEVEL', + 'STAT_PROFITTRADES_AVGCON', + 'STAT_PROFIT', + 'STAT_PROFIT_FACTOR', + 'STAT_PROFIT_LONGTRADES', + 'STAT_PROFIT_SHORTTRADES', + 'STAT_PROFIT_TRADES', + 'STAT_RECOVERY_FACTOR', + 'STAT_SHARPE_RATIO', + 'STAT_SHORT_TRADES', + 'STAT_TRADES', + 'STAT_WITHDRAWAL', + 'STO_CLOSECLOSE', + 'STO_LOWHIGH', + 'STYLE_DASHDOTDOT', + 'STYLE_DASHDOT', + 'STYLE_DASH', + 'STYLE_DOT', + 'STYLE_SOLID', + 'SUNDAY', + 'SYMBOL_ARROWDOWN', + 'SYMBOL_ARROWUP', + 'SYMBOL_CHECKSIGN', + 'SYMBOL_LEFTPRICE', + 'SYMBOL_RIGHTPRICE', + 'SYMBOL_STOPSIGN', + 'SYMBOL_THUMBSDOWN', + 'SYMBOL_THUMBSUP', + 'TERMINAL_BUILD', + 'TERMINAL_CODEPAGE', + 'TERMINAL_COMMONDATA_PATH', + 'TERMINAL_COMPANY', + 'TERMINAL_CONNECTED', + 'TERMINAL_CPU_CORES', + 'TERMINAL_DATA_PATH', + 'TERMINAL_DISK_SPACE', + 'TERMINAL_DLLS_ALLOWED', + 'TERMINAL_EMAIL_ENABLED', + 'TERMINAL_FTP_ENABLED', + 'TERMINAL_LANGUAGE', + 'TERMINAL_MAXBARS', + 'TERMINAL_MEMORY_AVAILABLE', + 'TERMINAL_MEMORY_PHYSICAL', + 'TERMINAL_MEMORY_TOTAL', + 'TERMINAL_MEMORY_USED', + 'TERMINAL_NAME', + 'TERMINAL_OPENCL_SUPPORT', + 'TERMINAL_PATH', + 'TERMINAL_TRADE_ALLOWED', + 'TERMINAL_X64', + 'THURSDAY', + 'TRADE_ACTION_DEAL', + 'TRADE_ACTION_MODIFY', + 'TRADE_ACTION_PENDING', + 'TRADE_ACTION_REMOVE', + 'TRADE_ACTION_SLTP', + 'TUESDAY', + 'UCHAR_MAX', + 'UINT_MAX', + 'ULONG_MAX', + 'USHORT_MAX', + 'VOLUME_REAL', + 'VOLUME_TICK', + 'WEDNESDAY', + 'WHOLE_ARRAY', + 'WRONG_VALUE', + 'clrNONE', + '__DATETIME__', + '__DATE__', + '__FILE__', + '__FUNCSIG__', + '__FUNCTION__', + '__LINE__', + '__MQL4BUILD__', + '__MQLBUILD__', + '__PATH__', +) + +colors = ( + 'AliceBlue', + 'AntiqueWhite', + 'Aquamarine', + 'Aqua', + 'Beige', + 'Bisque', + 'Black', + 'BlanchedAlmond', + 'BlueViolet', + 'Blue', + 'Brown', + 'BurlyWood', + 'CadetBlue', + 'Chartreuse', + 'Chocolate', + 'Coral', + 'CornflowerBlue', + 'Cornsilk', + 'Crimson', + 'DarkBlue', + 'DarkGoldenrod', + 'DarkGray', + 'DarkGreen', + 'DarkKhaki', + 'DarkOliveGreen', + 'DarkOrange', + 'DarkOrchid', + 'DarkSalmon', + 'DarkSeaGreen', + 'DarkSlateBlue', + 'DarkSlateGray', + 'DarkTurquoise', + 'DarkViolet', + 'DeepPink', + 'DeepSkyBlue', + 'DimGray', + 'DodgerBlue', + 'FireBrick', + 'ForestGreen', + 'Gainsboro', + 'Goldenrod', + 'Gold', + 'Gray', + 'GreenYellow', + 'Green', + 'Honeydew', + 'HotPink', + 'IndianRed', + 'Indigo', + 'Ivory', + 'Khaki', + 'LavenderBlush', + 'Lavender', + 'LawnGreen', + 'LemonChiffon', + 'LightBlue', + 'LightCoral', + 'LightCyan', + 'LightGoldenrod', + 'LightGray', + 'LightGreen', + 'LightPink', + 'LightSalmon', + 'LightSeaGreen', + 'LightSkyBlue', + 'LightSlateGray', + 'LightSteelBlue', + 'LightYellow', + 'LimeGreen', + 'Lime', + 'Linen', + 'Magenta', + 'Maroon', + 'MediumAquamarine', + 'MediumBlue', + 'MediumOrchid', + 'MediumPurple', + 'MediumSeaGreen', + 'MediumSlateBlue', + 'MediumSpringGreen', + 'MediumTurquoise', + 'MediumVioletRed', + 'MidnightBlue', + 'MintCream', + 'MistyRose', + 'Moccasin', + 'NavajoWhite', + 'Navy', + 'OldLace', + 'OliveDrab', + 'Olive', + 'OrangeRed', + 'Orange', + 'Orchid', + 'PaleGoldenrod', + 'PaleGreen', + 'PaleTurquoise', + 'PaleVioletRed', + 'PapayaWhip', + 'PeachPuff', + 'Peru', + 'Pink', + 'Plum', + 'PowderBlue', + 'Purple', + 'Red', + 'RosyBrown', + 'RoyalBlue', + 'SaddleBrown', + 'Salmon', + 'SandyBrown', + 'SeaGreen', + 'Seashell', + 'Sienna', + 'Silver', + 'SkyBlue', + 'SlateBlue', + 'SlateGray', + 'Snow', + 'SpringGreen', + 'SteelBlue', + 'Tan', + 'Teal', + 'Thistle', + 'Tomato', + 'Turquoise', + 'Violet', + 'Wheat', + 'WhiteSmoke', + 'White', + 'YellowGreen', + 'Yellow', +) + +keywords = ( + 'input', '_Digits', '_Point', '_LastError', '_Period', '_RandomSeed', + '_StopFlag', '_Symbol', '_UninitReason', 'Ask', 'Bars', 'Bid', + 'Close', 'Digits', 'High', 'Low', 'Open', 'Point', 'Time', + 'Volume', +) +c_types = ( + 'void', 'char', 'uchar', 'bool', 'short', 'ushort', 'int', 'uint', + 'color', 'long', 'ulong', 'datetime', 'float', 'double', + 'string', +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_openedge_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_openedge_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..0fa7d1b244ca9e2d5c7c724011bb467796cb8541 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_openedge_builtins.py @@ -0,0 +1,2547 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._openedge_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Builtin list for the OpenEdgeLexer. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +OPENEDGEKEYWORDS = ( + 'ABSOLUTE', + 'ABS', + 'ABSO', + 'ABSOL', + 'ABSOLU', + 'ABSOLUT', + 'ACCELERATOR', + 'ACCUMULATE', + 'ACCUM', + 'ACCUMU', + 'ACCUMUL', + 'ACCUMULA', + 'ACCUMULAT', + 'ACTIVE-FORM', + 'ACTIVE-WINDOW', + 'ADD', + 'ADD-BUFFER', + 'ADD-CALC-COLUMN', + 'ADD-COLUMNS-FROM', + 'ADD-EVENTS-PROCEDURE', + 'ADD-FIELDS-FROM', + 'ADD-FIRST', + 'ADD-INDEX-FIELD', + 'ADD-LAST', + 'ADD-LIKE-COLUMN', + 'ADD-LIKE-FIELD', + 'ADD-LIKE-INDEX', + 'ADD-NEW-FIELD', + 'ADD-NEW-INDEX', + 'ADD-SCHEMA-LOCATION', + 'ADD-SUPER-PROCEDURE', + 'ADM-DATA', + 'ADVISE', + 'ALERT-BOX', + 'ALIAS', + 'ALL', + 'ALLOW-COLUMN-SEARCHING', + 'ALLOW-REPLICATION', + 'ALTER', + 'ALWAYS-ON-TOP', + 'AMBIGUOUS', + 'AMBIG', + 'AMBIGU', + 'AMBIGUO', + 'AMBIGUOU', + 'ANALYZE', + 'ANALYZ', + 'AND', + 'ANSI-ONLY', + 'ANY', + 'ANYWHERE', + 'APPEND', + 'APPL-ALERT-BOXES', + 'APPL-ALERT', + 'APPL-ALERT-', + 'APPL-ALERT-B', + 'APPL-ALERT-BO', + 'APPL-ALERT-BOX', + 'APPL-ALERT-BOXE', + 'APPL-CONTEXT-ID', + 'APPLICATION', + 'APPLY', + 'APPSERVER-INFO', + 'APPSERVER-PASSWORD', + 'APPSERVER-USERID', + 'ARRAY-MESSAGE', + 'AS', + 'ASC', + 'ASCENDING', + 'ASCE', + 'ASCEN', + 'ASCEND', + 'ASCENDI', + 'ASCENDIN', + 'ASK-OVERWRITE', + 'ASSEMBLY', + 'ASSIGN', + 'ASYNCHRONOUS', + 'ASYNC-REQUEST-COUNT', + 'ASYNC-REQUEST-HANDLE', + 'AT', + 'ATTACHED-PAIRLIST', + 'ATTR-SPACE', + 'ATTR', + 'ATTRI', + 'ATTRIB', + 'ATTRIBU', + 'ATTRIBUT', + 'AUDIT-CONTROL', + 'AUDIT-ENABLED', + 'AUDIT-EVENT-CONTEXT', + 'AUDIT-POLICY', + 'AUTHENTICATION-FAILED', + 'AUTHORIZATION', + 'AUTO-COMPLETION', + 'AUTO-COMP', + 'AUTO-COMPL', + 'AUTO-COMPLE', + 'AUTO-COMPLET', + 'AUTO-COMPLETI', + 'AUTO-COMPLETIO', + 'AUTO-ENDKEY', + 'AUTO-END-KEY', + 'AUTO-GO', + 'AUTO-INDENT', + 'AUTO-IND', + 'AUTO-INDE', + 'AUTO-INDEN', + 'AUTOMATIC', + 'AUTO-RESIZE', + 'AUTO-RETURN', + 'AUTO-RET', + 'AUTO-RETU', + 'AUTO-RETUR', + 'AUTO-SYNCHRONIZE', + 'AUTO-ZAP', + 'AUTO-Z', + 'AUTO-ZA', + 'AVAILABLE', + 'AVAIL', + 'AVAILA', + 'AVAILAB', + 'AVAILABL', + 'AVAILABLE-FORMATS', + 'AVERAGE', + 'AVE', + 'AVER', + 'AVERA', + 'AVERAG', + 'AVG', + 'BACKGROUND', + 'BACK', + 'BACKG', + 'BACKGR', + 'BACKGRO', + 'BACKGROU', + 'BACKGROUN', + 'BACKWARDS', + 'BACKWARD', + 'BASE64-DECODE', + 'BASE64-ENCODE', + 'BASE-ADE', + 'BASE-KEY', + 'BATCH-MODE', + 'BATCH', + 'BATCH-', + 'BATCH-M', + 'BATCH-MO', + 'BATCH-MOD', + 'BATCH-SIZE', + 'BEFORE-HIDE', + 'BEFORE-H', + 'BEFORE-HI', + 'BEFORE-HID', + 'BEGIN-EVENT-GROUP', + 'BEGINS', + 'BELL', + 'BETWEEN', + 'BGCOLOR', + 'BGC', + 'BGCO', + 'BGCOL', + 'BGCOLO', + 'BIG-ENDIAN', + 'BINARY', + 'BIND', + 'BIND-WHERE', + 'BLANK', + 'BLOCK-ITERATION-DISPLAY', + 'BORDER-BOTTOM-CHARS', + 'BORDER-B', + 'BORDER-BO', + 'BORDER-BOT', + 'BORDER-BOTT', + 'BORDER-BOTTO', + 'BORDER-BOTTOM-PIXELS', + 'BORDER-BOTTOM-P', + 'BORDER-BOTTOM-PI', + 'BORDER-BOTTOM-PIX', + 'BORDER-BOTTOM-PIXE', + 'BORDER-BOTTOM-PIXEL', + 'BORDER-LEFT-CHARS', + 'BORDER-L', + 'BORDER-LE', + 'BORDER-LEF', + 'BORDER-LEFT', + 'BORDER-LEFT-', + 'BORDER-LEFT-C', + 'BORDER-LEFT-CH', + 'BORDER-LEFT-CHA', + 'BORDER-LEFT-CHAR', + 'BORDER-LEFT-PIXELS', + 'BORDER-LEFT-P', + 'BORDER-LEFT-PI', + 'BORDER-LEFT-PIX', + 'BORDER-LEFT-PIXE', + 'BORDER-LEFT-PIXEL', + 'BORDER-RIGHT-CHARS', + 'BORDER-R', + 'BORDER-RI', + 'BORDER-RIG', + 'BORDER-RIGH', + 'BORDER-RIGHT', + 'BORDER-RIGHT-', + 'BORDER-RIGHT-C', + 'BORDER-RIGHT-CH', + 'BORDER-RIGHT-CHA', + 'BORDER-RIGHT-CHAR', + 'BORDER-RIGHT-PIXELS', + 'BORDER-RIGHT-P', + 'BORDER-RIGHT-PI', + 'BORDER-RIGHT-PIX', + 'BORDER-RIGHT-PIXE', + 'BORDER-RIGHT-PIXEL', + 'BORDER-TOP-CHARS', + 'BORDER-T', + 'BORDER-TO', + 'BORDER-TOP', + 'BORDER-TOP-', + 'BORDER-TOP-C', + 'BORDER-TOP-CH', + 'BORDER-TOP-CHA', + 'BORDER-TOP-CHAR', + 'BORDER-TOP-PIXELS', + 'BORDER-TOP-P', + 'BORDER-TOP-PI', + 'BORDER-TOP-PIX', + 'BORDER-TOP-PIXE', + 'BORDER-TOP-PIXEL', + 'BOX', + 'BOX-SELECTABLE', + 'BOX-SELECT', + 'BOX-SELECTA', + 'BOX-SELECTAB', + 'BOX-SELECTABL', + 'BREAK', + 'BROWSE', + 'BUFFER', + 'BUFFER-CHARS', + 'BUFFER-COMPARE', + 'BUFFER-COPY', + 'BUFFER-CREATE', + 'BUFFER-DELETE', + 'BUFFER-FIELD', + 'BUFFER-HANDLE', + 'BUFFER-LINES', + 'BUFFER-NAME', + 'BUFFER-RELEASE', + 'BUFFER-VALUE', + 'BUTTON', + 'BUTTONS', + 'BY', + 'BY-POINTER', + 'BY-VARIANT-POINTER', + 'CACHE', + 'CACHE-SIZE', + 'CALL', + 'CALL-NAME', + 'CALL-TYPE', + 'CANCEL-BREAK', + 'CANCEL-BUTTON', + 'CAN-CREATE', + 'CAN-DELETE', + 'CAN-DO', + 'CAN-FIND', + 'CAN-QUERY', + 'CAN-READ', + 'CAN-SET', + 'CAN-WRITE', + 'CAPS', + 'CAREFUL-PAINT', + 'CASE', + 'CASE-SENSITIVE', + 'CASE-SEN', + 'CASE-SENS', + 'CASE-SENSI', + 'CASE-SENSIT', + 'CASE-SENSITI', + 'CASE-SENSITIV', + 'CAST', + 'CATCH', + 'CDECL', + 'CENTERED', + 'CENTER', + 'CENTERE', + 'CHAINED', + 'CHARACTER_LENGTH', + 'CHARSET', + 'CHECK', + 'CHECKED', + 'CHOOSE', + 'CHR', + 'CLASS', + 'CLASS-TYPE', + 'CLEAR', + 'CLEAR-APPL-CONTEXT', + 'CLEAR-LOG', + 'CLEAR-SELECTION', + 'CLEAR-SELECT', + 'CLEAR-SELECTI', + 'CLEAR-SELECTIO', + 'CLEAR-SORT-ARROWS', + 'CLEAR-SORT-ARROW', + 'CLIENT-CONNECTION-ID', + 'CLIENT-PRINCIPAL', + 'CLIENT-TTY', + 'CLIENT-TYPE', + 'CLIENT-WORKSTATION', + 'CLIPBOARD', + 'CLOSE', + 'CLOSE-LOG', + 'CODE', + 'CODEBASE-LOCATOR', + 'CODEPAGE', + 'CODEPAGE-CONVERT', + 'COLLATE', + 'COL-OF', + 'COLON', + 'COLON-ALIGNED', + 'COLON-ALIGN', + 'COLON-ALIGNE', + 'COLOR', + 'COLOR-TABLE', + 'COLUMN', + 'COL', + 'COLU', + 'COLUM', + 'COLUMN-BGCOLOR', + 'COLUMN-DCOLOR', + 'COLUMN-FGCOLOR', + 'COLUMN-FONT', + 'COLUMN-LABEL', + 'COLUMN-LAB', + 'COLUMN-LABE', + 'COLUMN-MOVABLE', + 'COLUMN-OF', + 'COLUMN-PFCOLOR', + 'COLUMN-READ-ONLY', + 'COLUMN-RESIZABLE', + 'COLUMNS', + 'COLUMN-SCROLLING', + 'COMBO-BOX', + 'COMMAND', + 'COMPARES', + 'COMPILE', + 'COMPILER', + 'COMPLETE', + 'COM-SELF', + 'CONFIG-NAME', + 'CONNECT', + 'CONNECTED', + 'CONSTRUCTOR', + 'CONTAINS', + 'CONTENTS', + 'CONTEXT', + 'CONTEXT-HELP', + 'CONTEXT-HELP-FILE', + 'CONTEXT-HELP-ID', + 'CONTEXT-POPUP', + 'CONTROL', + 'CONTROL-BOX', + 'CONTROL-FRAME', + 'CONVERT', + 'CONVERT-3D-COLORS', + 'CONVERT-TO-OFFSET', + 'CONVERT-TO-OFFS', + 'CONVERT-TO-OFFSE', + 'COPY-DATASET', + 'COPY-LOB', + 'COPY-SAX-ATTRIBUTES', + 'COPY-TEMP-TABLE', + 'COUNT', + 'COUNT-OF', + 'CPCASE', + 'CPCOLL', + 'CPINTERNAL', + 'CPLOG', + 'CPPRINT', + 'CPRCODEIN', + 'CPRCODEOUT', + 'CPSTREAM', + 'CPTERM', + 'CRC-VALUE', + 'CREATE', + 'CREATE-LIKE', + 'CREATE-LIKE-SEQUENTIAL', + 'CREATE-NODE-NAMESPACE', + 'CREATE-RESULT-LIST-ENTRY', + 'CREATE-TEST-FILE', + 'CURRENT', + 'CURRENT_DATE', + 'CURRENT-CHANGED', + 'CURRENT-COLUMN', + 'CURRENT-ENVIRONMENT', + 'CURRENT-ENV', + 'CURRENT-ENVI', + 'CURRENT-ENVIR', + 'CURRENT-ENVIRO', + 'CURRENT-ENVIRON', + 'CURRENT-ENVIRONM', + 'CURRENT-ENVIRONME', + 'CURRENT-ENVIRONMEN', + 'CURRENT-ITERATION', + 'CURRENT-LANGUAGE', + 'CURRENT-LANG', + 'CURRENT-LANGU', + 'CURRENT-LANGUA', + 'CURRENT-LANGUAG', + 'CURRENT-QUERY', + 'CURRENT-RESULT-ROW', + 'CURRENT-ROW-MODIFIED', + 'CURRENT-VALUE', + 'CURRENT-WINDOW', + 'CURSOR', + 'CURS', + 'CURSO', + 'CURSOR-CHAR', + 'CURSOR-LINE', + 'CURSOR-OFFSET', + 'DATABASE', + 'DATA-BIND', + 'DATA-ENTRY-RETURN', + 'DATA-ENTRY-RET', + 'DATA-ENTRY-RETU', + 'DATA-ENTRY-RETUR', + 'DATA-RELATION', + 'DATA-REL', + 'DATA-RELA', + 'DATA-RELAT', + 'DATA-RELATI', + 'DATA-RELATIO', + 'DATASERVERS', + 'DATASET', + 'DATASET-HANDLE', + 'DATA-SOURCE', + 'DATA-SOURCE-COMPLETE-MAP', + 'DATA-SOURCE-MODIFIED', + 'DATA-SOURCE-ROWID', + 'DATA-TYPE', + 'DATA-T', + 'DATA-TY', + 'DATA-TYP', + 'DATE-FORMAT', + 'DATE-F', + 'DATE-FO', + 'DATE-FOR', + 'DATE-FORM', + 'DATE-FORMA', + 'DAY', + 'DBCODEPAGE', + 'DBCOLLATION', + 'DBNAME', + 'DBPARAM', + 'DB-REFERENCES', + 'DBRESTRICTIONS', + 'DBREST', + 'DBRESTR', + 'DBRESTRI', + 'DBRESTRIC', + 'DBRESTRICT', + 'DBRESTRICTI', + 'DBRESTRICTIO', + 'DBRESTRICTION', + 'DBTASKID', + 'DBTYPE', + 'DBVERSION', + 'DBVERS', + 'DBVERSI', + 'DBVERSIO', + 'DCOLOR', + 'DDE', + 'DDE-ERROR', + 'DDE-ID', + 'DDE-I', + 'DDE-ITEM', + 'DDE-NAME', + 'DDE-TOPIC', + 'DEBLANK', + 'DEBUG', + 'DEBU', + 'DEBUG-ALERT', + 'DEBUGGER', + 'DEBUG-LIST', + 'DECIMALS', + 'DECLARE', + 'DECLARE-NAMESPACE', + 'DECRYPT', + 'DEFAULT', + 'DEFAULT-BUFFER-HANDLE', + 'DEFAULT-BUTTON', + 'DEFAUT-B', + 'DEFAUT-BU', + 'DEFAUT-BUT', + 'DEFAUT-BUTT', + 'DEFAUT-BUTTO', + 'DEFAULT-COMMIT', + 'DEFAULT-EXTENSION', + 'DEFAULT-EX', + 'DEFAULT-EXT', + 'DEFAULT-EXTE', + 'DEFAULT-EXTEN', + 'DEFAULT-EXTENS', + 'DEFAULT-EXTENSI', + 'DEFAULT-EXTENSIO', + 'DEFAULT-NOXLATE', + 'DEFAULT-NOXL', + 'DEFAULT-NOXLA', + 'DEFAULT-NOXLAT', + 'DEFAULT-VALUE', + 'DEFAULT-WINDOW', + 'DEFINED', + 'DEFINE-USER-EVENT-MANAGER', + 'DELETE', + 'DEL', + 'DELE', + 'DELET', + 'DELETE-CHARACTER', + 'DELETE-CHAR', + 'DELETE-CHARA', + 'DELETE-CHARAC', + 'DELETE-CHARACT', + 'DELETE-CHARACTE', + 'DELETE-CURRENT-ROW', + 'DELETE-LINE', + 'DELETE-RESULT-LIST-ENTRY', + 'DELETE-SELECTED-ROW', + 'DELETE-SELECTED-ROWS', + 'DELIMITER', + 'DESC', + 'DESCENDING', + 'DESCE', + 'DESCEN', + 'DESCEND', + 'DESCENDI', + 'DESCENDIN', + 'DESELECT-FOCUSED-ROW', + 'DESELECTION', + 'DESELECT-ROWS', + 'DESELECT-SELECTED-ROW', + 'DESTRUCTOR', + 'DIALOG-BOX', + 'DICTIONARY', + 'DICT', + 'DICTI', + 'DICTIO', + 'DICTION', + 'DICTIONA', + 'DICTIONAR', + 'DIR', + 'DISABLE', + 'DISABLE-AUTO-ZAP', + 'DISABLED', + 'DISABLE-DUMP-TRIGGERS', + 'DISABLE-LOAD-TRIGGERS', + 'DISCONNECT', + 'DISCON', + 'DISCONN', + 'DISCONNE', + 'DISCONNEC', + 'DISP', + 'DISPLAY', + 'DISPL', + 'DISPLA', + 'DISPLAY-MESSAGE', + 'DISPLAY-TYPE', + 'DISPLAY-T', + 'DISPLAY-TY', + 'DISPLAY-TYP', + 'DISTINCT', + 'DO', + 'DOMAIN-DESCRIPTION', + 'DOMAIN-NAME', + 'DOMAIN-TYPE', + 'DOS', + 'DOUBLE', + 'DOWN', + 'DRAG-ENABLED', + 'DROP', + 'DROP-DOWN', + 'DROP-DOWN-LIST', + 'DROP-FILE-NOTIFY', + 'DROP-TARGET', + 'DUMP', + 'DYNAMIC', + 'DYNAMIC-FUNCTION', + 'EACH', + 'ECHO', + 'EDGE-CHARS', + 'EDGE', + 'EDGE-', + 'EDGE-C', + 'EDGE-CH', + 'EDGE-CHA', + 'EDGE-CHAR', + 'EDGE-PIXELS', + 'EDGE-P', + 'EDGE-PI', + 'EDGE-PIX', + 'EDGE-PIXE', + 'EDGE-PIXEL', + 'EDIT-CAN-PASTE', + 'EDIT-CAN-UNDO', + 'EDIT-CLEAR', + 'EDIT-COPY', + 'EDIT-CUT', + 'EDITING', + 'EDITOR', + 'EDIT-PASTE', + 'EDIT-UNDO', + 'ELSE', + 'EMPTY', + 'EMPTY-TEMP-TABLE', + 'ENABLE', + 'ENABLED-FIELDS', + 'ENCODE', + 'ENCRYPT', + 'ENCRYPT-AUDIT-MAC-KEY', + 'ENCRYPTION-SALT', + 'END', + 'END-DOCUMENT', + 'END-ELEMENT', + 'END-EVENT-GROUP', + 'END-FILE-DROP', + 'ENDKEY', + 'END-KEY', + 'END-MOVE', + 'END-RESIZE', + 'END-ROW-RESIZE', + 'END-USER-PROMPT', + 'ENTERED', + 'ENTRY', + 'EQ', + 'ERROR', + 'ERROR-COLUMN', + 'ERROR-COL', + 'ERROR-COLU', + 'ERROR-COLUM', + 'ERROR-ROW', + 'ERROR-STACK-TRACE', + 'ERROR-STATUS', + 'ERROR-STAT', + 'ERROR-STATU', + 'ESCAPE', + 'ETIME', + 'EVENT-GROUP-ID', + 'EVENT-PROCEDURE', + 'EVENT-PROCEDURE-CONTEXT', + 'EVENTS', + 'EVENT', + 'EVENT-TYPE', + 'EVENT-T', + 'EVENT-TY', + 'EVENT-TYP', + 'EXCEPT', + 'EXCLUSIVE-ID', + 'EXCLUSIVE-LOCK', + 'EXCLUSIVE', + 'EXCLUSIVE-', + 'EXCLUSIVE-L', + 'EXCLUSIVE-LO', + 'EXCLUSIVE-LOC', + 'EXCLUSIVE-WEB-USER', + 'EXECUTE', + 'EXISTS', + 'EXP', + 'EXPAND', + 'EXPANDABLE', + 'EXPLICIT', + 'EXPORT', + 'EXPORT-PRINCIPAL', + 'EXTENDED', + 'EXTENT', + 'EXTERNAL', + 'FALSE', + 'FETCH', + 'FETCH-SELECTED-ROW', + 'FGCOLOR', + 'FGC', + 'FGCO', + 'FGCOL', + 'FGCOLO', + 'FIELD', + 'FIELDS', + 'FILE', + 'FILE-CREATE-DATE', + 'FILE-CREATE-TIME', + 'FILE-INFORMATION', + 'FILE-INFO', + 'FILE-INFOR', + 'FILE-INFORM', + 'FILE-INFORMA', + 'FILE-INFORMAT', + 'FILE-INFORMATI', + 'FILE-INFORMATIO', + 'FILE-MOD-DATE', + 'FILE-MOD-TIME', + 'FILENAME', + 'FILE-NAME', + 'FILE-OFFSET', + 'FILE-OFF', + 'FILE-OFFS', + 'FILE-OFFSE', + 'FILE-SIZE', + 'FILE-TYPE', + 'FILL', + 'FILLED', + 'FILL-IN', + 'FILTERS', + 'FINAL', + 'FINALLY', + 'FIND', + 'FIND-BY-ROWID', + 'FIND-CASE-SENSITIVE', + 'FIND-CURRENT', + 'FINDER', + 'FIND-FIRST', + 'FIND-GLOBAL', + 'FIND-LAST', + 'FIND-NEXT-OCCURRENCE', + 'FIND-PREV-OCCURRENCE', + 'FIND-SELECT', + 'FIND-UNIQUE', + 'FIND-WRAP-AROUND', + 'FIRST', + 'FIRST-ASYNCH-REQUEST', + 'FIRST-CHILD', + 'FIRST-COLUMN', + 'FIRST-FORM', + 'FIRST-OBJECT', + 'FIRST-OF', + 'FIRST-PROCEDURE', + 'FIRST-PROC', + 'FIRST-PROCE', + 'FIRST-PROCED', + 'FIRST-PROCEDU', + 'FIRST-PROCEDUR', + 'FIRST-SERVER', + 'FIRST-TAB-ITEM', + 'FIRST-TAB-I', + 'FIRST-TAB-IT', + 'FIRST-TAB-ITE', + 'FIT-LAST-COLUMN', + 'FIXED-ONLY', + 'FLAT-BUTTON', + 'FLOAT', + 'FOCUS', + 'FOCUSED-ROW', + 'FOCUSED-ROW-SELECTED', + 'FONT', + 'FONT-TABLE', + 'FOR', + 'FORCE-FILE', + 'FOREGROUND', + 'FORE', + 'FOREG', + 'FOREGR', + 'FOREGRO', + 'FOREGROU', + 'FOREGROUN', + 'FORM', + 'FORMAT', + 'FORMA', + 'FORMATTED', + 'FORMATTE', + 'FORM-LONG-INPUT', + 'FORWARD', + 'FORWARDS', + 'FRAGMENT', + 'FRAGMEN', + 'FRAME', + 'FRAM', + 'FRAME-COL', + 'FRAME-DB', + 'FRAME-DOWN', + 'FRAME-FIELD', + 'FRAME-FILE', + 'FRAME-INDEX', + 'FRAME-INDE', + 'FRAME-LINE', + 'FRAME-NAME', + 'FRAME-ROW', + 'FRAME-SPACING', + 'FRAME-SPA', + 'FRAME-SPAC', + 'FRAME-SPACI', + 'FRAME-SPACIN', + 'FRAME-VALUE', + 'FRAME-VAL', + 'FRAME-VALU', + 'FRAME-X', + 'FRAME-Y', + 'FREQUENCY', + 'FROM', + 'FROM-CHARS', + 'FROM-C', + 'FROM-CH', + 'FROM-CHA', + 'FROM-CHAR', + 'FROM-CURRENT', + 'FROM-CUR', + 'FROM-CURR', + 'FROM-CURRE', + 'FROM-CURREN', + 'FROM-PIXELS', + 'FROM-P', + 'FROM-PI', + 'FROM-PIX', + 'FROM-PIXE', + 'FROM-PIXEL', + 'FULL-HEIGHT-CHARS', + 'FULL-HEIGHT', + 'FULL-HEIGHT-', + 'FULL-HEIGHT-C', + 'FULL-HEIGHT-CH', + 'FULL-HEIGHT-CHA', + 'FULL-HEIGHT-CHAR', + 'FULL-HEIGHT-PIXELS', + 'FULL-HEIGHT-P', + 'FULL-HEIGHT-PI', + 'FULL-HEIGHT-PIX', + 'FULL-HEIGHT-PIXE', + 'FULL-HEIGHT-PIXEL', + 'FULL-PATHNAME', + 'FULL-PATHN', + 'FULL-PATHNA', + 'FULL-PATHNAM', + 'FULL-WIDTH-CHARS', + 'FULL-WIDTH', + 'FULL-WIDTH-', + 'FULL-WIDTH-C', + 'FULL-WIDTH-CH', + 'FULL-WIDTH-CHA', + 'FULL-WIDTH-CHAR', + 'FULL-WIDTH-PIXELS', + 'FULL-WIDTH-P', + 'FULL-WIDTH-PI', + 'FULL-WIDTH-PIX', + 'FULL-WIDTH-PIXE', + 'FULL-WIDTH-PIXEL', + 'FUNCTION', + 'FUNCTION-CALL-TYPE', + 'GATEWAYS', + 'GATEWAY', + 'GE', + 'GENERATE-MD5', + 'GENERATE-PBE-KEY', + 'GENERATE-PBE-SALT', + 'GENERATE-RANDOM-KEY', + 'GENERATE-UUID', + 'GET', + 'GET-ATTR-CALL-TYPE', + 'GET-ATTRIBUTE-NODE', + 'GET-BINARY-DATA', + 'GET-BLUE-VALUE', + 'GET-BLUE', + 'GET-BLUE-', + 'GET-BLUE-V', + 'GET-BLUE-VA', + 'GET-BLUE-VAL', + 'GET-BLUE-VALU', + 'GET-BROWSE-COLUMN', + 'GET-BUFFER-HANDLEGETBYTE', + 'GET-BYTE', + 'GET-CALLBACK-PROC-CONTEXT', + 'GET-CALLBACK-PROC-NAME', + 'GET-CGI-LIST', + 'GET-CGI-LONG-VALUE', + 'GET-CGI-VALUE', + 'GET-CODEPAGES', + 'GET-COLLATIONS', + 'GET-CONFIG-VALUE', + 'GET-CURRENT', + 'GET-DOUBLE', + 'GET-DROPPED-FILE', + 'GET-DYNAMIC', + 'GET-ERROR-COLUMN', + 'GET-ERROR-ROW', + 'GET-FILE', + 'GET-FILE-NAME', + 'GET-FILE-OFFSET', + 'GET-FILE-OFFSE', + 'GET-FIRST', + 'GET-FLOAT', + 'GET-GREEN-VALUE', + 'GET-GREEN', + 'GET-GREEN-', + 'GET-GREEN-V', + 'GET-GREEN-VA', + 'GET-GREEN-VAL', + 'GET-GREEN-VALU', + 'GET-INDEX-BY-NAMESPACE-NAME', + 'GET-INDEX-BY-QNAME', + 'GET-INT64', + 'GET-ITERATION', + 'GET-KEY-VALUE', + 'GET-KEY-VAL', + 'GET-KEY-VALU', + 'GET-LAST', + 'GET-LOCALNAME-BY-INDEX', + 'GET-LONG', + 'GET-MESSAGE', + 'GET-NEXT', + 'GET-NUMBER', + 'GET-POINTER-VALUE', + 'GET-PREV', + 'GET-PRINTERS', + 'GET-PROPERTY', + 'GET-QNAME-BY-INDEX', + 'GET-RED-VALUE', + 'GET-RED', + 'GET-RED-', + 'GET-RED-V', + 'GET-RED-VA', + 'GET-RED-VAL', + 'GET-RED-VALU', + 'GET-REPOSITIONED-ROW', + 'GET-RGB-VALUE', + 'GET-SELECTED-WIDGET', + 'GET-SELECTED', + 'GET-SELECTED-', + 'GET-SELECTED-W', + 'GET-SELECTED-WI', + 'GET-SELECTED-WID', + 'GET-SELECTED-WIDG', + 'GET-SELECTED-WIDGE', + 'GET-SHORT', + 'GET-SIGNATURE', + 'GET-SIZE', + 'GET-STRING', + 'GET-TAB-ITEM', + 'GET-TEXT-HEIGHT-CHARS', + 'GET-TEXT-HEIGHT', + 'GET-TEXT-HEIGHT-', + 'GET-TEXT-HEIGHT-C', + 'GET-TEXT-HEIGHT-CH', + 'GET-TEXT-HEIGHT-CHA', + 'GET-TEXT-HEIGHT-CHAR', + 'GET-TEXT-HEIGHT-PIXELS', + 'GET-TEXT-HEIGHT-P', + 'GET-TEXT-HEIGHT-PI', + 'GET-TEXT-HEIGHT-PIX', + 'GET-TEXT-HEIGHT-PIXE', + 'GET-TEXT-HEIGHT-PIXEL', + 'GET-TEXT-WIDTH-CHARS', + 'GET-TEXT-WIDTH', + 'GET-TEXT-WIDTH-', + 'GET-TEXT-WIDTH-C', + 'GET-TEXT-WIDTH-CH', + 'GET-TEXT-WIDTH-CHA', + 'GET-TEXT-WIDTH-CHAR', + 'GET-TEXT-WIDTH-PIXELS', + 'GET-TEXT-WIDTH-P', + 'GET-TEXT-WIDTH-PI', + 'GET-TEXT-WIDTH-PIX', + 'GET-TEXT-WIDTH-PIXE', + 'GET-TEXT-WIDTH-PIXEL', + 'GET-TYPE-BY-INDEX', + 'GET-TYPE-BY-NAMESPACE-NAME', + 'GET-TYPE-BY-QNAME', + 'GET-UNSIGNED-LONG', + 'GET-UNSIGNED-SHORT', + 'GET-URI-BY-INDEX', + 'GET-VALUE-BY-INDEX', + 'GET-VALUE-BY-NAMESPACE-NAME', + 'GET-VALUE-BY-QNAME', + 'GET-WAIT-STATE', + 'GLOBAL', + 'GO-ON', + 'GO-PENDING', + 'GO-PEND', + 'GO-PENDI', + 'GO-PENDIN', + 'GRANT', + 'GRAPHIC-EDGE', + 'GRAPHIC-E', + 'GRAPHIC-ED', + 'GRAPHIC-EDG', + 'GRID-FACTOR-HORIZONTAL', + 'GRID-FACTOR-H', + 'GRID-FACTOR-HO', + 'GRID-FACTOR-HOR', + 'GRID-FACTOR-HORI', + 'GRID-FACTOR-HORIZ', + 'GRID-FACTOR-HORIZO', + 'GRID-FACTOR-HORIZON', + 'GRID-FACTOR-HORIZONT', + 'GRID-FACTOR-HORIZONTA', + 'GRID-FACTOR-VERTICAL', + 'GRID-FACTOR-V', + 'GRID-FACTOR-VE', + 'GRID-FACTOR-VER', + 'GRID-FACTOR-VERT', + 'GRID-FACTOR-VERTI', + 'GRID-FACTOR-VERTIC', + 'GRID-FACTOR-VERTICA', + 'GRID-SNAP', + 'GRID-UNIT-HEIGHT-CHARS', + 'GRID-UNIT-HEIGHT', + 'GRID-UNIT-HEIGHT-', + 'GRID-UNIT-HEIGHT-C', + 'GRID-UNIT-HEIGHT-CH', + 'GRID-UNIT-HEIGHT-CHA', + 'GRID-UNIT-HEIGHT-PIXELS', + 'GRID-UNIT-HEIGHT-P', + 'GRID-UNIT-HEIGHT-PI', + 'GRID-UNIT-HEIGHT-PIX', + 'GRID-UNIT-HEIGHT-PIXE', + 'GRID-UNIT-HEIGHT-PIXEL', + 'GRID-UNIT-WIDTH-CHARS', + 'GRID-UNIT-WIDTH', + 'GRID-UNIT-WIDTH-', + 'GRID-UNIT-WIDTH-C', + 'GRID-UNIT-WIDTH-CH', + 'GRID-UNIT-WIDTH-CHA', + 'GRID-UNIT-WIDTH-CHAR', + 'GRID-UNIT-WIDTH-PIXELS', + 'GRID-UNIT-WIDTH-P', + 'GRID-UNIT-WIDTH-PI', + 'GRID-UNIT-WIDTH-PIX', + 'GRID-UNIT-WIDTH-PIXE', + 'GRID-UNIT-WIDTH-PIXEL', + 'GRID-VISIBLE', + 'GROUP', + 'GT', + 'GUID', + 'HANDLER', + 'HAS-RECORDS', + 'HAVING', + 'HEADER', + 'HEIGHT-CHARS', + 'HEIGHT', + 'HEIGHT-', + 'HEIGHT-C', + 'HEIGHT-CH', + 'HEIGHT-CHA', + 'HEIGHT-CHAR', + 'HEIGHT-PIXELS', + 'HEIGHT-P', + 'HEIGHT-PI', + 'HEIGHT-PIX', + 'HEIGHT-PIXE', + 'HEIGHT-PIXEL', + 'HELP', + 'HEX-DECODE', + 'HEX-ENCODE', + 'HIDDEN', + 'HIDE', + 'HORIZONTAL', + 'HORI', + 'HORIZ', + 'HORIZO', + 'HORIZON', + 'HORIZONT', + 'HORIZONTA', + 'HOST-BYTE-ORDER', + 'HTML-CHARSET', + 'HTML-END-OF-LINE', + 'HTML-END-OF-PAGE', + 'HTML-FRAME-BEGIN', + 'HTML-FRAME-END', + 'HTML-HEADER-BEGIN', + 'HTML-HEADER-END', + 'HTML-TITLE-BEGIN', + 'HTML-TITLE-END', + 'HWND', + 'ICON', + 'IF', + 'IMAGE', + 'IMAGE-DOWN', + 'IMAGE-INSENSITIVE', + 'IMAGE-SIZE', + 'IMAGE-SIZE-CHARS', + 'IMAGE-SIZE-C', + 'IMAGE-SIZE-CH', + 'IMAGE-SIZE-CHA', + 'IMAGE-SIZE-CHAR', + 'IMAGE-SIZE-PIXELS', + 'IMAGE-SIZE-P', + 'IMAGE-SIZE-PI', + 'IMAGE-SIZE-PIX', + 'IMAGE-SIZE-PIXE', + 'IMAGE-SIZE-PIXEL', + 'IMAGE-UP', + 'IMMEDIATE-DISPLAY', + 'IMPLEMENTS', + 'IMPORT', + 'IMPORT-PRINCIPAL', + 'IN', + 'INCREMENT-EXCLUSIVE-ID', + 'INDEX', + 'INDEXED-REPOSITION', + 'INDEX-HINT', + 'INDEX-INFORMATION', + 'INDICATOR', + 'INFORMATION', + 'INFO', + 'INFOR', + 'INFORM', + 'INFORMA', + 'INFORMAT', + 'INFORMATI', + 'INFORMATIO', + 'IN-HANDLE', + 'INHERIT-BGCOLOR', + 'INHERIT-BGC', + 'INHERIT-BGCO', + 'INHERIT-BGCOL', + 'INHERIT-BGCOLO', + 'INHERIT-FGCOLOR', + 'INHERIT-FGC', + 'INHERIT-FGCO', + 'INHERIT-FGCOL', + 'INHERIT-FGCOLO', + 'INHERITS', + 'INITIAL', + 'INIT', + 'INITI', + 'INITIA', + 'INITIAL-DIR', + 'INITIAL-FILTER', + 'INITIALIZE-DOCUMENT-TYPE', + 'INITIATE', + 'INNER-CHARS', + 'INNER-LINES', + 'INPUT', + 'INPUT-OUTPUT', + 'INPUT-O', + 'INPUT-OU', + 'INPUT-OUT', + 'INPUT-OUTP', + 'INPUT-OUTPU', + 'INPUT-VALUE', + 'INSERT', + 'INSERT-ATTRIBUTE', + 'INSERT-BACKTAB', + 'INSERT-B', + 'INSERT-BA', + 'INSERT-BAC', + 'INSERT-BACK', + 'INSERT-BACKT', + 'INSERT-BACKTA', + 'INSERT-FILE', + 'INSERT-ROW', + 'INSERT-STRING', + 'INSERT-TAB', + 'INSERT-T', + 'INSERT-TA', + 'INTERFACE', + 'INTERNAL-ENTRIES', + 'INTO', + 'INVOKE', + 'IS', + 'IS-ATTR-SPACE', + 'IS-ATTR', + 'IS-ATTR-', + 'IS-ATTR-S', + 'IS-ATTR-SP', + 'IS-ATTR-SPA', + 'IS-ATTR-SPAC', + 'IS-CLASS', + 'IS-CLAS', + 'IS-LEAD-BYTE', + 'IS-OPEN', + 'IS-PARAMETER-SET', + 'IS-ROW-SELECTED', + 'IS-SELECTED', + 'ITEM', + 'ITEMS-PER-ROW', + 'JOIN', + 'JOIN-BY-SQLDB', + 'KBLABEL', + 'KEEP-CONNECTION-OPEN', + 'KEEP-FRAME-Z-ORDER', + 'KEEP-FRAME-Z', + 'KEEP-FRAME-Z-', + 'KEEP-FRAME-Z-O', + 'KEEP-FRAME-Z-OR', + 'KEEP-FRAME-Z-ORD', + 'KEEP-FRAME-Z-ORDE', + 'KEEP-MESSAGES', + 'KEEP-SECURITY-CACHE', + 'KEEP-TAB-ORDER', + 'KEY', + 'KEYCODE', + 'KEY-CODE', + 'KEYFUNCTION', + 'KEYFUNC', + 'KEYFUNCT', + 'KEYFUNCTI', + 'KEYFUNCTIO', + 'KEY-FUNCTION', + 'KEY-FUNC', + 'KEY-FUNCT', + 'KEY-FUNCTI', + 'KEY-FUNCTIO', + 'KEYLABEL', + 'KEY-LABEL', + 'KEYS', + 'KEYWORD', + 'KEYWORD-ALL', + 'LABEL', + 'LABEL-BGCOLOR', + 'LABEL-BGC', + 'LABEL-BGCO', + 'LABEL-BGCOL', + 'LABEL-BGCOLO', + 'LABEL-DCOLOR', + 'LABEL-DC', + 'LABEL-DCO', + 'LABEL-DCOL', + 'LABEL-DCOLO', + 'LABEL-FGCOLOR', + 'LABEL-FGC', + 'LABEL-FGCO', + 'LABEL-FGCOL', + 'LABEL-FGCOLO', + 'LABEL-FONT', + 'LABEL-PFCOLOR', + 'LABEL-PFC', + 'LABEL-PFCO', + 'LABEL-PFCOL', + 'LABEL-PFCOLO', + 'LABELS', + 'LANDSCAPE', + 'LANGUAGES', + 'LANGUAGE', + 'LARGE', + 'LARGE-TO-SMALL', + 'LAST', + 'LAST-ASYNCH-REQUEST', + 'LAST-BATCH', + 'LAST-CHILD', + 'LAST-EVENT', + 'LAST-EVEN', + 'LAST-FORM', + 'LASTKEY', + 'LAST-KEY', + 'LAST-OBJECT', + 'LAST-OF', + 'LAST-PROCEDURE', + 'LAST-PROCE', + 'LAST-PROCED', + 'LAST-PROCEDU', + 'LAST-PROCEDUR', + 'LAST-SERVER', + 'LAST-TAB-ITEM', + 'LAST-TAB-I', + 'LAST-TAB-IT', + 'LAST-TAB-ITE', + 'LC', + 'LDBNAME', + 'LE', + 'LEAVE', + 'LEFT-ALIGNED', + 'LEFT-ALIGN', + 'LEFT-ALIGNE', + 'LEFT-TRIM', + 'LENGTH', + 'LIBRARY', + 'LIKE', + 'LIKE-SEQUENTIAL', + 'LINE', + 'LINE-COUNTER', + 'LINE-COUNT', + 'LINE-COUNTE', + 'LIST-EVENTS', + 'LISTING', + 'LISTI', + 'LISTIN', + 'LIST-ITEM-PAIRS', + 'LIST-ITEMS', + 'LIST-PROPERTY-NAMES', + 'LIST-QUERY-ATTRS', + 'LIST-SET-ATTRS', + 'LIST-WIDGETS', + 'LITERAL-QUESTION', + 'LITTLE-ENDIAN', + 'LOAD', + 'LOAD-DOMAINS', + 'LOAD-ICON', + 'LOAD-IMAGE', + 'LOAD-IMAGE-DOWN', + 'LOAD-IMAGE-INSENSITIVE', + 'LOAD-IMAGE-UP', + 'LOAD-MOUSE-POINTER', + 'LOAD-MOUSE-P', + 'LOAD-MOUSE-PO', + 'LOAD-MOUSE-POI', + 'LOAD-MOUSE-POIN', + 'LOAD-MOUSE-POINT', + 'LOAD-MOUSE-POINTE', + 'LOAD-PICTURE', + 'LOAD-SMALL-ICON', + 'LOCAL-NAME', + 'LOCATOR-COLUMN-NUMBER', + 'LOCATOR-LINE-NUMBER', + 'LOCATOR-PUBLIC-ID', + 'LOCATOR-SYSTEM-ID', + 'LOCATOR-TYPE', + 'LOCKED', + 'LOCK-REGISTRATION', + 'LOG', + 'LOG-AUDIT-EVENT', + 'LOGIN-EXPIRATION-TIMESTAMP', + 'LOGIN-HOST', + 'LOGIN-STATE', + 'LOG-MANAGER', + 'LOGOUT', + 'LOOKAHEAD', + 'LOOKUP', + 'LT', + 'MACHINE-CLASS', + 'MANDATORY', + 'MANUAL-HIGHLIGHT', + 'MAP', + 'MARGIN-EXTRA', + 'MARGIN-HEIGHT-CHARS', + 'MARGIN-HEIGHT', + 'MARGIN-HEIGHT-', + 'MARGIN-HEIGHT-C', + 'MARGIN-HEIGHT-CH', + 'MARGIN-HEIGHT-CHA', + 'MARGIN-HEIGHT-CHAR', + 'MARGIN-HEIGHT-PIXELS', + 'MARGIN-HEIGHT-P', + 'MARGIN-HEIGHT-PI', + 'MARGIN-HEIGHT-PIX', + 'MARGIN-HEIGHT-PIXE', + 'MARGIN-HEIGHT-PIXEL', + 'MARGIN-WIDTH-CHARS', + 'MARGIN-WIDTH', + 'MARGIN-WIDTH-', + 'MARGIN-WIDTH-C', + 'MARGIN-WIDTH-CH', + 'MARGIN-WIDTH-CHA', + 'MARGIN-WIDTH-CHAR', + 'MARGIN-WIDTH-PIXELS', + 'MARGIN-WIDTH-P', + 'MARGIN-WIDTH-PI', + 'MARGIN-WIDTH-PIX', + 'MARGIN-WIDTH-PIXE', + 'MARGIN-WIDTH-PIXEL', + 'MARK-NEW', + 'MARK-ROW-STATE', + 'MATCHES', + 'MAX-BUTTON', + 'MAX-CHARS', + 'MAX-DATA-GUESS', + 'MAX-HEIGHT', + 'MAX-HEIGHT-CHARS', + 'MAX-HEIGHT-C', + 'MAX-HEIGHT-CH', + 'MAX-HEIGHT-CHA', + 'MAX-HEIGHT-CHAR', + 'MAX-HEIGHT-PIXELS', + 'MAX-HEIGHT-P', + 'MAX-HEIGHT-PI', + 'MAX-HEIGHT-PIX', + 'MAX-HEIGHT-PIXE', + 'MAX-HEIGHT-PIXEL', + 'MAXIMIZE', + 'MAXIMUM', + 'MAX', + 'MAXI', + 'MAXIM', + 'MAXIMU', + 'MAXIMUM-LEVEL', + 'MAX-ROWS', + 'MAX-SIZE', + 'MAX-VALUE', + 'MAX-VAL', + 'MAX-VALU', + 'MAX-WIDTH-CHARS', + 'MAX-WIDTH', + 'MAX-WIDTH-', + 'MAX-WIDTH-C', + 'MAX-WIDTH-CH', + 'MAX-WIDTH-CHA', + 'MAX-WIDTH-CHAR', + 'MAX-WIDTH-PIXELS', + 'MAX-WIDTH-P', + 'MAX-WIDTH-PI', + 'MAX-WIDTH-PIX', + 'MAX-WIDTH-PIXE', + 'MAX-WIDTH-PIXEL', + 'MD5-DIGEST', + 'MEMBER', + 'MEMPTR-TO-NODE-VALUE', + 'MENU', + 'MENUBAR', + 'MENU-BAR', + 'MENU-ITEM', + 'MENU-KEY', + 'MENU-K', + 'MENU-KE', + 'MENU-MOUSE', + 'MENU-M', + 'MENU-MO', + 'MENU-MOU', + 'MENU-MOUS', + 'MERGE-BY-FIELD', + 'MESSAGE', + 'MESSAGE-AREA', + 'MESSAGE-AREA-FONT', + 'MESSAGE-LINES', + 'METHOD', + 'MIN-BUTTON', + 'MIN-COLUMN-WIDTH-CHARS', + 'MIN-COLUMN-WIDTH-C', + 'MIN-COLUMN-WIDTH-CH', + 'MIN-COLUMN-WIDTH-CHA', + 'MIN-COLUMN-WIDTH-CHAR', + 'MIN-COLUMN-WIDTH-PIXELS', + 'MIN-COLUMN-WIDTH-P', + 'MIN-COLUMN-WIDTH-PI', + 'MIN-COLUMN-WIDTH-PIX', + 'MIN-COLUMN-WIDTH-PIXE', + 'MIN-COLUMN-WIDTH-PIXEL', + 'MIN-HEIGHT-CHARS', + 'MIN-HEIGHT', + 'MIN-HEIGHT-', + 'MIN-HEIGHT-C', + 'MIN-HEIGHT-CH', + 'MIN-HEIGHT-CHA', + 'MIN-HEIGHT-CHAR', + 'MIN-HEIGHT-PIXELS', + 'MIN-HEIGHT-P', + 'MIN-HEIGHT-PI', + 'MIN-HEIGHT-PIX', + 'MIN-HEIGHT-PIXE', + 'MIN-HEIGHT-PIXEL', + 'MINIMUM', + 'MIN', + 'MINI', + 'MINIM', + 'MINIMU', + 'MIN-SIZE', + 'MIN-VALUE', + 'MIN-VAL', + 'MIN-VALU', + 'MIN-WIDTH-CHARS', + 'MIN-WIDTH', + 'MIN-WIDTH-', + 'MIN-WIDTH-C', + 'MIN-WIDTH-CH', + 'MIN-WIDTH-CHA', + 'MIN-WIDTH-CHAR', + 'MIN-WIDTH-PIXELS', + 'MIN-WIDTH-P', + 'MIN-WIDTH-PI', + 'MIN-WIDTH-PIX', + 'MIN-WIDTH-PIXE', + 'MIN-WIDTH-PIXEL', + 'MODIFIED', + 'MODULO', + 'MOD', + 'MODU', + 'MODUL', + 'MONTH', + 'MOUSE', + 'MOUSE-POINTER', + 'MOUSE-P', + 'MOUSE-PO', + 'MOUSE-POI', + 'MOUSE-POIN', + 'MOUSE-POINT', + 'MOUSE-POINTE', + 'MOVABLE', + 'MOVE-AFTER-TAB-ITEM', + 'MOVE-AFTER', + 'MOVE-AFTER-', + 'MOVE-AFTER-T', + 'MOVE-AFTER-TA', + 'MOVE-AFTER-TAB', + 'MOVE-AFTER-TAB-', + 'MOVE-AFTER-TAB-I', + 'MOVE-AFTER-TAB-IT', + 'MOVE-AFTER-TAB-ITE', + 'MOVE-BEFORE-TAB-ITEM', + 'MOVE-BEFOR', + 'MOVE-BEFORE', + 'MOVE-BEFORE-', + 'MOVE-BEFORE-T', + 'MOVE-BEFORE-TA', + 'MOVE-BEFORE-TAB', + 'MOVE-BEFORE-TAB-', + 'MOVE-BEFORE-TAB-I', + 'MOVE-BEFORE-TAB-IT', + 'MOVE-BEFORE-TAB-ITE', + 'MOVE-COLUMN', + 'MOVE-COL', + 'MOVE-COLU', + 'MOVE-COLUM', + 'MOVE-TO-BOTTOM', + 'MOVE-TO-B', + 'MOVE-TO-BO', + 'MOVE-TO-BOT', + 'MOVE-TO-BOTT', + 'MOVE-TO-BOTTO', + 'MOVE-TO-EOF', + 'MOVE-TO-TOP', + 'MOVE-TO-T', + 'MOVE-TO-TO', + 'MPE', + 'MULTI-COMPILE', + 'MULTIPLE', + 'MULTIPLE-KEY', + 'MULTITASKING-INTERVAL', + 'MUST-EXIST', + 'NAME', + 'NAMESPACE-PREFIX', + 'NAMESPACE-URI', + 'NATIVE', + 'NE', + 'NEEDS-APPSERVER-PROMPT', + 'NEEDS-PROMPT', + 'NEW', + 'NEW-INSTANCE', + 'NEW-ROW', + 'NEXT', + 'NEXT-COLUMN', + 'NEXT-PROMPT', + 'NEXT-ROWID', + 'NEXT-SIBLING', + 'NEXT-TAB-ITEM', + 'NEXT-TAB-I', + 'NEXT-TAB-IT', + 'NEXT-TAB-ITE', + 'NEXT-VALUE', + 'NO', + 'NO-APPLY', + 'NO-ARRAY-MESSAGE', + 'NO-ASSIGN', + 'NO-ATTR-LIST', + 'NO-ATTR', + 'NO-ATTR-', + 'NO-ATTR-L', + 'NO-ATTR-LI', + 'NO-ATTR-LIS', + 'NO-ATTR-SPACE', + 'NO-ATTR-S', + 'NO-ATTR-SP', + 'NO-ATTR-SPA', + 'NO-ATTR-SPAC', + 'NO-AUTO-VALIDATE', + 'NO-BIND-WHERE', + 'NO-BOX', + 'NO-CONSOLE', + 'NO-CONVERT', + 'NO-CONVERT-3D-COLORS', + 'NO-CURRENT-VALUE', + 'NO-DEBUG', + 'NODE-VALUE-TO-MEMPTR', + 'NO-DRAG', + 'NO-ECHO', + 'NO-EMPTY-SPACE', + 'NO-ERROR', + 'NO-FILL', + 'NO-F', + 'NO-FI', + 'NO-FIL', + 'NO-FOCUS', + 'NO-HELP', + 'NO-HIDE', + 'NO-INDEX-HINT', + 'NO-INHERIT-BGCOLOR', + 'NO-INHERIT-BGC', + 'NO-INHERIT-BGCO', + 'NO-INHERIT-FGCOLOR', + 'NO-INHERIT-FGC', + 'NO-INHERIT-FGCO', + 'NO-INHERIT-FGCOL', + 'NO-INHERIT-FGCOLO', + 'NO-JOIN-BY-SQLDB', + 'NO-LABELS', + 'NO-LABE', + 'NO-LOBS', + 'NO-LOCK', + 'NO-LOOKAHEAD', + 'NO-MAP', + 'NO-MESSAGE', + 'NO-MES', + 'NO-MESS', + 'NO-MESSA', + 'NO-MESSAG', + 'NONAMESPACE-SCHEMA-LOCATION', + 'NONE', + 'NO-PAUSE', + 'NO-PREFETCH', + 'NO-PREFE', + 'NO-PREFET', + 'NO-PREFETC', + 'NORMALIZE', + 'NO-ROW-MARKERS', + 'NO-SCROLLBAR-VERTICAL', + 'NO-SEPARATE-CONNECTION', + 'NO-SEPARATORS', + 'NOT', + 'NO-TAB-STOP', + 'NOT-ACTIVE', + 'NO-UNDERLINE', + 'NO-UND', + 'NO-UNDE', + 'NO-UNDER', + 'NO-UNDERL', + 'NO-UNDERLI', + 'NO-UNDERLIN', + 'NO-UNDO', + 'NO-VALIDATE', + 'NO-VAL', + 'NO-VALI', + 'NO-VALID', + 'NO-VALIDA', + 'NO-VALIDAT', + 'NOW', + 'NO-WAIT', + 'NO-WORD-WRAP', + 'NULL', + 'NUM-ALIASES', + 'NUM-ALI', + 'NUM-ALIA', + 'NUM-ALIAS', + 'NUM-ALIASE', + 'NUM-BUFFERS', + 'NUM-BUTTONS', + 'NUM-BUT', + 'NUM-BUTT', + 'NUM-BUTTO', + 'NUM-BUTTON', + 'NUM-COLUMNS', + 'NUM-COL', + 'NUM-COLU', + 'NUM-COLUM', + 'NUM-COLUMN', + 'NUM-COPIES', + 'NUM-DBS', + 'NUM-DROPPED-FILES', + 'NUM-ENTRIES', + 'NUMERIC', + 'NUMERIC-FORMAT', + 'NUMERIC-F', + 'NUMERIC-FO', + 'NUMERIC-FOR', + 'NUMERIC-FORM', + 'NUMERIC-FORMA', + 'NUM-FIELDS', + 'NUM-FORMATS', + 'NUM-ITEMS', + 'NUM-ITERATIONS', + 'NUM-LINES', + 'NUM-LOCKED-COLUMNS', + 'NUM-LOCKED-COL', + 'NUM-LOCKED-COLU', + 'NUM-LOCKED-COLUM', + 'NUM-LOCKED-COLUMN', + 'NUM-MESSAGES', + 'NUM-PARAMETERS', + 'NUM-REFERENCES', + 'NUM-REPLACED', + 'NUM-RESULTS', + 'NUM-SELECTED-ROWS', + 'NUM-SELECTED-WIDGETS', + 'NUM-SELECTED', + 'NUM-SELECTED-', + 'NUM-SELECTED-W', + 'NUM-SELECTED-WI', + 'NUM-SELECTED-WID', + 'NUM-SELECTED-WIDG', + 'NUM-SELECTED-WIDGE', + 'NUM-SELECTED-WIDGET', + 'NUM-TABS', + 'NUM-TO-RETAIN', + 'NUM-VISIBLE-COLUMNS', + 'OCTET-LENGTH', + 'OF', + 'OFF', + 'OK', + 'OK-CANCEL', + 'OLD', + 'ON', + 'ON-FRAME-BORDER', + 'ON-FRAME', + 'ON-FRAME-', + 'ON-FRAME-B', + 'ON-FRAME-BO', + 'ON-FRAME-BOR', + 'ON-FRAME-BORD', + 'ON-FRAME-BORDE', + 'OPEN', + 'OPSYS', + 'OPTION', + 'OR', + 'ORDERED-JOIN', + 'ORDINAL', + 'OS-APPEND', + 'OS-COMMAND', + 'OS-COPY', + 'OS-CREATE-DIR', + 'OS-DELETE', + 'OS-DIR', + 'OS-DRIVES', + 'OS-DRIVE', + 'OS-ERROR', + 'OS-GETENV', + 'OS-RENAME', + 'OTHERWISE', + 'OUTPUT', + 'OVERLAY', + 'OVERRIDE', + 'OWNER', + 'PAGE', + 'PAGE-BOTTOM', + 'PAGE-BOT', + 'PAGE-BOTT', + 'PAGE-BOTTO', + 'PAGED', + 'PAGE-NUMBER', + 'PAGE-NUM', + 'PAGE-NUMB', + 'PAGE-NUMBE', + 'PAGE-SIZE', + 'PAGE-TOP', + 'PAGE-WIDTH', + 'PAGE-WID', + 'PAGE-WIDT', + 'PARAMETER', + 'PARAM', + 'PARAME', + 'PARAMET', + 'PARAMETE', + 'PARENT', + 'PARSE-STATUS', + 'PARTIAL-KEY', + 'PASCAL', + 'PASSWORD-FIELD', + 'PATHNAME', + 'PAUSE', + 'PBE-HASH-ALGORITHM', + 'PBE-HASH-ALG', + 'PBE-HASH-ALGO', + 'PBE-HASH-ALGOR', + 'PBE-HASH-ALGORI', + 'PBE-HASH-ALGORIT', + 'PBE-HASH-ALGORITH', + 'PBE-KEY-ROUNDS', + 'PDBNAME', + 'PERSISTENT', + 'PERSIST', + 'PERSISTE', + 'PERSISTEN', + 'PERSISTENT-CACHE-DISABLED', + 'PFCOLOR', + 'PFC', + 'PFCO', + 'PFCOL', + 'PFCOLO', + 'PIXELS', + 'PIXELS-PER-COLUMN', + 'PIXELS-PER-COL', + 'PIXELS-PER-COLU', + 'PIXELS-PER-COLUM', + 'PIXELS-PER-ROW', + 'POPUP-MENU', + 'POPUP-M', + 'POPUP-ME', + 'POPUP-MEN', + 'POPUP-ONLY', + 'POPUP-O', + 'POPUP-ON', + 'POPUP-ONL', + 'PORTRAIT', + 'POSITION', + 'PRECISION', + 'PREFER-DATASET', + 'PREPARED', + 'PREPARE-STRING', + 'PREPROCESS', + 'PREPROC', + 'PREPROCE', + 'PREPROCES', + 'PRESELECT', + 'PRESEL', + 'PRESELE', + 'PRESELEC', + 'PREV', + 'PREV-COLUMN', + 'PREV-SIBLING', + 'PREV-TAB-ITEM', + 'PREV-TAB-I', + 'PREV-TAB-IT', + 'PREV-TAB-ITE', + 'PRIMARY', + 'PRINTER', + 'PRINTER-CONTROL-HANDLE', + 'PRINTER-HDC', + 'PRINTER-NAME', + 'PRINTER-PORT', + 'PRINTER-SETUP', + 'PRIVATE', + 'PRIVATE-DATA', + 'PRIVATE-D', + 'PRIVATE-DA', + 'PRIVATE-DAT', + 'PRIVILEGES', + 'PROCEDURE', + 'PROCE', + 'PROCED', + 'PROCEDU', + 'PROCEDUR', + 'PROCEDURE-CALL-TYPE', + 'PROCESS', + 'PROC-HANDLE', + 'PROC-HA', + 'PROC-HAN', + 'PROC-HAND', + 'PROC-HANDL', + 'PROC-STATUS', + 'PROC-ST', + 'PROC-STA', + 'PROC-STAT', + 'PROC-STATU', + 'proc-text', + 'proc-text-buffe', + 'PROFILER', + 'PROGRAM-NAME', + 'PROGRESS', + 'PROGRESS-SOURCE', + 'PROGRESS-S', + 'PROGRESS-SO', + 'PROGRESS-SOU', + 'PROGRESS-SOUR', + 'PROGRESS-SOURC', + 'PROMPT', + 'PROMPT-FOR', + 'PROMPT-F', + 'PROMPT-FO', + 'PROMSGS', + 'PROPATH', + 'PROPERTY', + 'PROTECTED', + 'PROVERSION', + 'PROVERS', + 'PROVERSI', + 'PROVERSIO', + 'PROXY', + 'PROXY-PASSWORD', + 'PROXY-USERID', + 'PUBLIC', + 'PUBLIC-ID', + 'PUBLISH', + 'PUBLISHED-EVENTS', + 'PUT', + 'PUTBYTE', + 'PUT-BYTE', + 'PUT-DOUBLE', + 'PUT-FLOAT', + 'PUT-INT64', + 'PUT-KEY-VALUE', + 'PUT-KEY-VAL', + 'PUT-KEY-VALU', + 'PUT-LONG', + 'PUT-SHORT', + 'PUT-STRING', + 'PUT-UNSIGNED-LONG', + 'QUERY', + 'QUERY-CLOSE', + 'QUERY-OFF-END', + 'QUERY-OPEN', + 'QUERY-PREPARE', + 'QUERY-TUNING', + 'QUESTION', + 'QUIT', + 'QUOTER', + 'RADIO-BUTTONS', + 'RADIO-SET', + 'RANDOM', + 'RAW-TRANSFER', + 'RCODE-INFORMATION', + 'RCODE-INFO', + 'RCODE-INFOR', + 'RCODE-INFORM', + 'RCODE-INFORMA', + 'RCODE-INFORMAT', + 'RCODE-INFORMATI', + 'RCODE-INFORMATIO', + 'READ-AVAILABLE', + 'READ-EXACT-NUM', + 'READ-FILE', + 'READKEY', + 'READ-ONLY', + 'READ-XML', + 'READ-XMLSCHEMA', + 'REAL', + 'RECORD-LENGTH', + 'RECTANGLE', + 'RECT', + 'RECTA', + 'RECTAN', + 'RECTANG', + 'RECTANGL', + 'RECURSIVE', + 'REFERENCE-ONLY', + 'REFRESH', + 'REFRESHABLE', + 'REFRESH-AUDIT-POLICY', + 'REGISTER-DOMAIN', + 'RELEASE', + 'REMOTE', + 'REMOVE-EVENTS-PROCEDURE', + 'REMOVE-SUPER-PROCEDURE', + 'REPEAT', + 'REPLACE', + 'REPLACE-SELECTION-TEXT', + 'REPOSITION', + 'REPOSITION-BACKWARD', + 'REPOSITION-FORWARD', + 'REPOSITION-MODE', + 'REPOSITION-TO-ROW', + 'REPOSITION-TO-ROWID', + 'REQUEST', + 'RESET', + 'RESIZABLE', + 'RESIZA', + 'RESIZAB', + 'RESIZABL', + 'RESIZE', + 'RESTART-ROW', + 'RESTART-ROWID', + 'RETAIN', + 'RETAIN-SHAPE', + 'RETRY', + 'RETRY-CANCEL', + 'RETURN', + 'RETURN-INSERTED', + 'RETURN-INS', + 'RETURN-INSE', + 'RETURN-INSER', + 'RETURN-INSERT', + 'RETURN-INSERTE', + 'RETURNS', + 'RETURN-TO-START-DIR', + 'RETURN-TO-START-DI', + 'RETURN-VALUE', + 'RETURN-VAL', + 'RETURN-VALU', + 'RETURN-VALUE-DATA-TYPE', + 'REVERSE-FROM', + 'REVERT', + 'REVOKE', + 'RGB-VALUE', + 'RIGHT-ALIGNED', + 'RETURN-ALIGN', + 'RETURN-ALIGNE', + 'RIGHT-TRIM', + 'R-INDEX', + 'ROLES', + 'ROUND', + 'ROUTINE-LEVEL', + 'ROW', + 'ROW-HEIGHT-CHARS', + 'ROW-HEIGHT-PIXELS', + 'ROW-MARKERS', + 'ROW-OF', + 'ROW-RESIZABLE', + 'RULE', + 'RUN', + 'RUN-PROCEDURE', + 'SAVE', + 'SAVE-AS', + 'SAVE-FILE', + 'SAX-COMPLETE', + 'SAX-COMPLE', + 'SAX-COMPLET', + 'SAX-PARSE', + 'SAX-PARSE-FIRST', + 'SAX-PARSE-NEXT', + 'SAX-PARSER-ERROR', + 'SAX-RUNNING', + 'SAX-UNINITIALIZED', + 'SAX-WRITE-BEGIN', + 'SAX-WRITE-COMPLETE', + 'SAX-WRITE-CONTENT', + 'SAX-WRITE-ELEMENT', + 'SAX-WRITE-ERROR', + 'SAX-WRITE-IDLE', + 'SAX-WRITER', + 'SAX-WRITE-TAG', + 'SCHEMA', + 'SCHEMA-LOCATION', + 'SCHEMA-MARSHAL', + 'SCHEMA-PATH', + 'SCREEN', + 'SCREEN-IO', + 'SCREEN-LINES', + 'SCREEN-VALUE', + 'SCREEN-VAL', + 'SCREEN-VALU', + 'SCROLL', + 'SCROLLABLE', + 'SCROLLBAR-HORIZONTAL', + 'SCROLLBAR-H', + 'SCROLLBAR-HO', + 'SCROLLBAR-HOR', + 'SCROLLBAR-HORI', + 'SCROLLBAR-HORIZ', + 'SCROLLBAR-HORIZO', + 'SCROLLBAR-HORIZON', + 'SCROLLBAR-HORIZONT', + 'SCROLLBAR-HORIZONTA', + 'SCROLL-BARS', + 'SCROLLBAR-VERTICAL', + 'SCROLLBAR-V', + 'SCROLLBAR-VE', + 'SCROLLBAR-VER', + 'SCROLLBAR-VERT', + 'SCROLLBAR-VERTI', + 'SCROLLBAR-VERTIC', + 'SCROLLBAR-VERTICA', + 'SCROLL-DELTA', + 'SCROLLED-ROW-POSITION', + 'SCROLLED-ROW-POS', + 'SCROLLED-ROW-POSI', + 'SCROLLED-ROW-POSIT', + 'SCROLLED-ROW-POSITI', + 'SCROLLED-ROW-POSITIO', + 'SCROLLING', + 'SCROLL-OFFSET', + 'SCROLL-TO-CURRENT-ROW', + 'SCROLL-TO-ITEM', + 'SCROLL-TO-I', + 'SCROLL-TO-IT', + 'SCROLL-TO-ITE', + 'SCROLL-TO-SELECTED-ROW', + 'SDBNAME', + 'SEAL', + 'SEAL-TIMESTAMP', + 'SEARCH', + 'SEARCH-SELF', + 'SEARCH-TARGET', + 'SECTION', + 'SECURITY-POLICY', + 'SEEK', + 'SELECT', + 'SELECTABLE', + 'SELECT-ALL', + 'SELECTED', + 'SELECT-FOCUSED-ROW', + 'SELECTION', + 'SELECTION-END', + 'SELECTION-LIST', + 'SELECTION-START', + 'SELECTION-TEXT', + 'SELECT-NEXT-ROW', + 'SELECT-PREV-ROW', + 'SELECT-ROW', + 'SELF', + 'SEND', + 'send-sql-statement', + 'send-sql', + 'SENSITIVE', + 'SEPARATE-CONNECTION', + 'SEPARATOR-FGCOLOR', + 'SEPARATORS', + 'SERVER', + 'SERVER-CONNECTION-BOUND', + 'SERVER-CONNECTION-BOUND-REQUEST', + 'SERVER-CONNECTION-CONTEXT', + 'SERVER-CONNECTION-ID', + 'SERVER-OPERATING-MODE', + 'SESSION', + 'SESSION-ID', + 'SET', + 'SET-APPL-CONTEXT', + 'SET-ATTR-CALL-TYPE', + 'SET-ATTRIBUTE-NODE', + 'SET-BLUE-VALUE', + 'SET-BLUE', + 'SET-BLUE-', + 'SET-BLUE-V', + 'SET-BLUE-VA', + 'SET-BLUE-VAL', + 'SET-BLUE-VALU', + 'SET-BREAK', + 'SET-BUFFERS', + 'SET-CALLBACK', + 'SET-CLIENT', + 'SET-COMMIT', + 'SET-CONTENTS', + 'SET-CURRENT-VALUE', + 'SET-DB-CLIENT', + 'SET-DYNAMIC', + 'SET-EVENT-MANAGER-OPTION', + 'SET-GREEN-VALUE', + 'SET-GREEN', + 'SET-GREEN-', + 'SET-GREEN-V', + 'SET-GREEN-VA', + 'SET-GREEN-VAL', + 'SET-GREEN-VALU', + 'SET-INPUT-SOURCE', + 'SET-OPTION', + 'SET-OUTPUT-DESTINATION', + 'SET-PARAMETER', + 'SET-POINTER-VALUE', + 'SET-PROPERTY', + 'SET-RED-VALUE', + 'SET-RED', + 'SET-RED-', + 'SET-RED-V', + 'SET-RED-VA', + 'SET-RED-VAL', + 'SET-RED-VALU', + 'SET-REPOSITIONED-ROW', + 'SET-RGB-VALUE', + 'SET-ROLLBACK', + 'SET-SELECTION', + 'SET-SIZE', + 'SET-SORT-ARROW', + 'SETUSERID', + 'SETUSER', + 'SETUSERI', + 'SET-WAIT-STATE', + 'SHA1-DIGEST', + 'SHARED', + 'SHARE-LOCK', + 'SHARE', + 'SHARE-', + 'SHARE-L', + 'SHARE-LO', + 'SHARE-LOC', + 'SHOW-IN-TASKBAR', + 'SHOW-STATS', + 'SHOW-STAT', + 'SIDE-LABEL-HANDLE', + 'SIDE-LABEL-H', + 'SIDE-LABEL-HA', + 'SIDE-LABEL-HAN', + 'SIDE-LABEL-HAND', + 'SIDE-LABEL-HANDL', + 'SIDE-LABELS', + 'SIDE-LAB', + 'SIDE-LABE', + 'SIDE-LABEL', + 'SILENT', + 'SIMPLE', + 'SINGLE', + 'SIZE', + 'SIZE-CHARS', + 'SIZE-C', + 'SIZE-CH', + 'SIZE-CHA', + 'SIZE-CHAR', + 'SIZE-PIXELS', + 'SIZE-P', + 'SIZE-PI', + 'SIZE-PIX', + 'SIZE-PIXE', + 'SIZE-PIXEL', + 'SKIP', + 'SKIP-DELETED-RECORD', + 'SLIDER', + 'SMALL-ICON', + 'SMALLINT', + 'SMALL-TITLE', + 'SOME', + 'SORT', + 'SORT-ASCENDING', + 'SORT-NUMBER', + 'SOURCE', + 'SOURCE-PROCEDURE', + 'SPACE', + 'SQL', + 'SQRT', + 'SSL-SERVER-NAME', + 'STANDALONE', + 'START', + 'START-DOCUMENT', + 'START-ELEMENT', + 'START-MOVE', + 'START-RESIZE', + 'START-ROW-RESIZE', + 'STATE-DETAIL', + 'STATIC', + 'STATUS', + 'STATUS-AREA', + 'STATUS-AREA-FONT', + 'STDCALL', + 'STOP', + 'STOP-PARSING', + 'STOPPED', + 'STOPPE', + 'STORED-PROCEDURE', + 'STORED-PROC', + 'STORED-PROCE', + 'STORED-PROCED', + 'STORED-PROCEDU', + 'STORED-PROCEDUR', + 'STREAM', + 'STREAM-HANDLE', + 'STREAM-IO', + 'STRETCH-TO-FIT', + 'STRICT', + 'STRING', + 'STRING-VALUE', + 'STRING-XREF', + 'SUB-AVERAGE', + 'SUB-AVE', + 'SUB-AVER', + 'SUB-AVERA', + 'SUB-AVERAG', + 'SUB-COUNT', + 'SUB-MAXIMUM', + 'SUM-MAX', + 'SUM-MAXI', + 'SUM-MAXIM', + 'SUM-MAXIMU', + 'SUB-MENU', + 'SUBSUB-', + 'SUB-MIN', + 'SUBSCRIBE', + 'SUBSTITUTE', + 'SUBST', + 'SUBSTI', + 'SUBSTIT', + 'SUBSTITU', + 'SUBSTITUT', + 'SUBSTRING', + 'SUBSTR', + 'SUBSTRI', + 'SUBSTRIN', + 'SUB-TOTAL', + 'SUBTYPE', + 'SUM', + 'SUPER', + 'SUPER-PROCEDURES', + 'SUPPRESS-NAMESPACE-PROCESSING', + 'SUPPRESS-WARNINGS', + 'SUPPRESS-W', + 'SUPPRESS-WA', + 'SUPPRESS-WAR', + 'SUPPRESS-WARN', + 'SUPPRESS-WARNI', + 'SUPPRESS-WARNIN', + 'SUPPRESS-WARNING', + 'SYMMETRIC-ENCRYPTION-ALGORITHM', + 'SYMMETRIC-ENCRYPTION-IV', + 'SYMMETRIC-ENCRYPTION-KEY', + 'SYMMETRIC-SUPPORT', + 'SYSTEM-ALERT-BOXES', + 'SYSTEM-ALERT', + 'SYSTEM-ALERT-', + 'SYSTEM-ALERT-B', + 'SYSTEM-ALERT-BO', + 'SYSTEM-ALERT-BOX', + 'SYSTEM-ALERT-BOXE', + 'SYSTEM-DIALOG', + 'SYSTEM-HELP', + 'SYSTEM-ID', + 'TABLE', + 'TABLE-HANDLE', + 'TABLE-NUMBER', + 'TAB-POSITION', + 'TAB-STOP', + 'TARGET', + 'TARGET-PROCEDURE', + 'TEMP-DIRECTORY', + 'TEMP-DIR', + 'TEMP-DIRE', + 'TEMP-DIREC', + 'TEMP-DIRECT', + 'TEMP-DIRECTO', + 'TEMP-DIRECTOR', + 'TEMP-TABLE', + 'TEMP-TABLE-PREPARE', + 'TERM', + 'TERMINAL', + 'TERMI', + 'TERMIN', + 'TERMINA', + 'TERMINATE', + 'TEXT', + 'TEXT-CURSOR', + 'TEXT-SEG-GROW', + 'TEXT-SELECTED', + 'THEN', + 'THIS-OBJECT', + 'THIS-PROCEDURE', + 'THREE-D', + 'THROW', + 'THROUGH', + 'THRU', + 'TIC-MARKS', + 'TIME', + 'TIME-SOURCE', + 'TITLE', + 'TITLE-BGCOLOR', + 'TITLE-BGC', + 'TITLE-BGCO', + 'TITLE-BGCOL', + 'TITLE-BGCOLO', + 'TITLE-DCOLOR', + 'TITLE-DC', + 'TITLE-DCO', + 'TITLE-DCOL', + 'TITLE-DCOLO', + 'TITLE-FGCOLOR', + 'TITLE-FGC', + 'TITLE-FGCO', + 'TITLE-FGCOL', + 'TITLE-FGCOLO', + 'TITLE-FONT', + 'TITLE-FO', + 'TITLE-FON', + 'TO', + 'TODAY', + 'TOGGLE-BOX', + 'TOOLTIP', + 'TOOLTIPS', + 'TOPIC', + 'TOP-NAV-QUERY', + 'TOP-ONLY', + 'TO-ROWID', + 'TOTAL', + 'TRAILING', + 'TRANS', + 'TRANSACTION', + 'TRANSACTION-MODE', + 'TRANS-INIT-PROCEDURE', + 'TRANSPARENT', + 'TRIGGER', + 'TRIGGERS', + 'TRIM', + 'TRUE', + 'TRUNCATE', + 'TRUNC', + 'TRUNCA', + 'TRUNCAT', + 'TYPE', + 'TYPE-OF', + 'UNBOX', + 'UNBUFFERED', + 'UNBUFF', + 'UNBUFFE', + 'UNBUFFER', + 'UNBUFFERE', + 'UNDERLINE', + 'UNDERL', + 'UNDERLI', + 'UNDERLIN', + 'UNDO', + 'UNFORMATTED', + 'UNFORM', + 'UNFORMA', + 'UNFORMAT', + 'UNFORMATT', + 'UNFORMATTE', + 'UNION', + 'UNIQUE', + 'UNIQUE-ID', + 'UNIQUE-MATCH', + 'UNIX', + 'UNLESS-HIDDEN', + 'UNLOAD', + 'UNSIGNED-LONG', + 'UNSUBSCRIBE', + 'UP', + 'UPDATE', + 'UPDATE-ATTRIBUTE', + 'URL', + 'URL-DECODE', + 'URL-ENCODE', + 'URL-PASSWORD', + 'URL-USERID', + 'USE', + 'USE-DICT-EXPS', + 'USE-FILENAME', + 'USE-INDEX', + 'USER', + 'USE-REVVIDEO', + 'USERID', + 'USER-ID', + 'USE-TEXT', + 'USE-UNDERLINE', + 'USE-WIDGET-POOL', + 'USING', + 'V6DISPLAY', + 'V6FRAME', + 'VALIDATE', + 'VALIDATE-EXPRESSION', + 'VALIDATE-MESSAGE', + 'VALIDATE-SEAL', + 'VALIDATION-ENABLED', + 'VALID-EVENT', + 'VALID-HANDLE', + 'VALID-OBJECT', + 'VALUE', + 'VALUE-CHANGED', + 'VALUES', + 'VARIABLE', + 'VAR', + 'VARI', + 'VARIA', + 'VARIAB', + 'VARIABL', + 'VERBOSE', + 'VERSION', + 'VERTICAL', + 'VERT', + 'VERTI', + 'VERTIC', + 'VERTICA', + 'VIEW', + 'VIEW-AS', + 'VIEW-FIRST-COLUMN-ON-REOPEN', + 'VIRTUAL-HEIGHT-CHARS', + 'VIRTUAL-HEIGHT', + 'VIRTUAL-HEIGHT-', + 'VIRTUAL-HEIGHT-C', + 'VIRTUAL-HEIGHT-CH', + 'VIRTUAL-HEIGHT-CHA', + 'VIRTUAL-HEIGHT-CHAR', + 'VIRTUAL-HEIGHT-PIXELS', + 'VIRTUAL-HEIGHT-P', + 'VIRTUAL-HEIGHT-PI', + 'VIRTUAL-HEIGHT-PIX', + 'VIRTUAL-HEIGHT-PIXE', + 'VIRTUAL-HEIGHT-PIXEL', + 'VIRTUAL-WIDTH-CHARS', + 'VIRTUAL-WIDTH', + 'VIRTUAL-WIDTH-', + 'VIRTUAL-WIDTH-C', + 'VIRTUAL-WIDTH-CH', + 'VIRTUAL-WIDTH-CHA', + 'VIRTUAL-WIDTH-CHAR', + 'VIRTUAL-WIDTH-PIXELS', + 'VIRTUAL-WIDTH-P', + 'VIRTUAL-WIDTH-PI', + 'VIRTUAL-WIDTH-PIX', + 'VIRTUAL-WIDTH-PIXE', + 'VIRTUAL-WIDTH-PIXEL', + 'VISIBLE', + 'VOID', + 'WAIT', + 'WAIT-FOR', + 'WARNING', + 'WEB-CONTEXT', + 'WEEKDAY', + 'WHEN', + 'WHERE', + 'WHILE', + 'WIDGET', + 'WIDGET-ENTER', + 'WIDGET-E', + 'WIDGET-EN', + 'WIDGET-ENT', + 'WIDGET-ENTE', + 'WIDGET-ID', + 'WIDGET-LEAVE', + 'WIDGET-L', + 'WIDGET-LE', + 'WIDGET-LEA', + 'WIDGET-LEAV', + 'WIDGET-POOL', + 'WIDTH-CHARS', + 'WIDTH', + 'WIDTH-', + 'WIDTH-C', + 'WIDTH-CH', + 'WIDTH-CHA', + 'WIDTH-CHAR', + 'WIDTH-PIXELS', + 'WIDTH-P', + 'WIDTH-PI', + 'WIDTH-PIX', + 'WIDTH-PIXE', + 'WIDTH-PIXEL', + 'WINDOW', + 'WINDOW-MAXIMIZED', + 'WINDOW-MAXIM', + 'WINDOW-MAXIMI', + 'WINDOW-MAXIMIZ', + 'WINDOW-MAXIMIZE', + 'WINDOW-MINIMIZED', + 'WINDOW-MINIM', + 'WINDOW-MINIMI', + 'WINDOW-MINIMIZ', + 'WINDOW-MINIMIZE', + 'WINDOW-NAME', + 'WINDOW-NORMAL', + 'WINDOW-STATE', + 'WINDOW-STA', + 'WINDOW-STAT', + 'WINDOW-SYSTEM', + 'WITH', + 'WORD-INDEX', + 'WORD-WRAP', + 'WORK-AREA-HEIGHT-PIXELS', + 'WORK-AREA-WIDTH-PIXELS', + 'WORK-AREA-X', + 'WORK-AREA-Y', + 'WORKFILE', + 'WORK-TABLE', + 'WORK-TAB', + 'WORK-TABL', + 'WRITE', + 'WRITE-CDATA', + 'WRITE-CHARACTERS', + 'WRITE-COMMENT', + 'WRITE-DATA-ELEMENT', + 'WRITE-EMPTY-ELEMENT', + 'WRITE-ENTITY-REF', + 'WRITE-EXTERNAL-DTD', + 'WRITE-FRAGMENT', + 'WRITE-MESSAGE', + 'WRITE-PROCESSING-INSTRUCTION', + 'WRITE-STATUS', + 'WRITE-XML', + 'WRITE-XMLSCHEMA', + 'X', + 'XCODE', + 'XML-DATA-TYPE', + 'XML-NODE-TYPE', + 'XML-SCHEMA-PATH', + 'XML-SUPPRESS-NAMESPACE-PROCESSING', + 'X-OF', + 'XREF', + 'XREF-XML', + 'Y', + 'YEAR', + 'YEAR-OFFSET', + 'YES', + 'YES-NO', + 'YES-NO-CANCEL', + 'Y-OF' +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_php_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_php_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..fec3286a8b459040b3d770cec5afad9f0e82ebaf --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_php_builtins.py @@ -0,0 +1,4756 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._php_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + This file loads the function names and their modules from the + php webpage and generates itself. + + Do not alter the MODULES dict by hand! + + WARNING: the generation transfers quite much data over your + internet connection. don't run that at home, use + a server ;-) + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from __future__ import print_function + +MODULES = {'.NET': ('dotnet_load',), + 'APC': ('apc_add', + 'apc_bin_dump', + 'apc_bin_dumpfile', + 'apc_bin_load', + 'apc_bin_loadfile', + 'apc_cache_info', + 'apc_cas', + 'apc_clear_cache', + 'apc_compile_file', + 'apc_dec', + 'apc_define_constants', + 'apc_delete_file', + 'apc_delete', + 'apc_exists', + 'apc_fetch', + 'apc_inc', + 'apc_load_constants', + 'apc_sma_info', + 'apc_store'), + 'APD': ('apd_breakpoint', + 'apd_callstack', + 'apd_clunk', + 'apd_continue', + 'apd_croak', + 'apd_dump_function_table', + 'apd_dump_persistent_resources', + 'apd_dump_regular_resources', + 'apd_echo', + 'apd_get_active_symbols', + 'apd_set_pprof_trace', + 'apd_set_session_trace_socket', + 'apd_set_session_trace', + 'apd_set_session', + 'override_function', + 'rename_function'), + 'Aliases and deprecated Mysqli': ('mysqli_bind_param', + 'mysqli_bind_result', + 'mysqli_client_encoding', + 'mysqli_connect', + 'mysqli_disable_rpl_parse', + 'mysqli_enable_reads_from_master', + 'mysqli_enable_rpl_parse', + 'mysqli_escape_string', + 'mysqli_execute', + 'mysqli_fetch', + 'mysqli_get_cache_stats', + 'mysqli_get_metadata', + 'mysqli_master_query', + 'mysqli_param_count', + 'mysqli_report', + 'mysqli_rpl_parse_enabled', + 'mysqli_rpl_probe', + 'mysqli_send_long_data', + 'mysqli_slave_query'), + 'Apache': ('apache_child_terminate', + 'apache_get_modules', + 'apache_get_version', + 'apache_getenv', + 'apache_lookup_uri', + 'apache_note', + 'apache_request_headers', + 'apache_reset_timeout', + 'apache_response_headers', + 'apache_setenv', + 'getallheaders', + 'virtual'), + 'Array': ('array_change_key_case', + 'array_chunk', + 'array_column', + 'array_combine', + 'array_count_values', + 'array_diff_assoc', + 'array_diff_key', + 'array_diff_uassoc', + 'array_diff_ukey', + 'array_diff', + 'array_fill_keys', + 'array_fill', + 'array_filter', + 'array_flip', + 'array_intersect_assoc', + 'array_intersect_key', + 'array_intersect_uassoc', + 'array_intersect_ukey', + 'array_intersect', + 'array_key_exists', + 'array_keys', + 'array_map', + 'array_merge_recursive', + 'array_merge', + 'array_multisort', + 'array_pad', + 'array_pop', + 'array_product', + 'array_push', + 'array_rand', + 'array_reduce', + 'array_replace_recursive', + 'array_replace', + 'array_reverse', + 'array_search', + 'array_shift', + 'array_slice', + 'array_splice', + 'array_sum', + 'array_udiff_assoc', + 'array_udiff_uassoc', + 'array_udiff', + 'array_uintersect_assoc', + 'array_uintersect_uassoc', + 'array_uintersect', + 'array_unique', + 'array_unshift', + 'array_values', + 'array_walk_recursive', + 'array_walk', + 'array', + 'arsort', + 'asort', + 'compact', + 'count', + 'current', + 'each', + 'end', + 'extract', + 'in_array', + 'key_exists', + 'key', + 'krsort', + 'ksort', + 'list', + 'natcasesort', + 'natsort', + 'next', + 'pos', + 'prev', + 'range', + 'reset', + 'rsort', + 'shuffle', + 'sizeof', + 'sort', + 'uasort', + 'uksort', + 'usort'), + 'BBCode': ('bbcode_add_element', + 'bbcode_add_smiley', + 'bbcode_create', + 'bbcode_destroy', + 'bbcode_parse', + 'bbcode_set_arg_parser', + 'bbcode_set_flags'), + 'BC Math': ('bcadd', + 'bccomp', + 'bcdiv', + 'bcmod', + 'bcmul', + 'bcpow', + 'bcpowmod', + 'bcscale', + 'bcsqrt', + 'bcsub'), + 'Blenc': ('blenc_encrypt',), + 'Bzip2': ('bzclose', + 'bzcompress', + 'bzdecompress', + 'bzerrno', + 'bzerror', + 'bzerrstr', + 'bzflush', + 'bzopen', + 'bzread', + 'bzwrite'), + 'COM': ('com_addref', + 'com_create_guid', + 'com_event_sink', + 'com_get_active_object', + 'com_get', + 'com_invoke', + 'com_isenum', + 'com_load_typelib', + 'com_load', + 'com_message_pump', + 'com_print_typeinfo', + 'com_propget', + 'com_propput', + 'com_propset', + 'com_release', + 'com_set', + 'variant_abs', + 'variant_add', + 'variant_and', + 'variant_cast', + 'variant_cat', + 'variant_cmp', + 'variant_date_from_timestamp', + 'variant_date_to_timestamp', + 'variant_div', + 'variant_eqv', + 'variant_fix', + 'variant_get_type', + 'variant_idiv', + 'variant_imp', + 'variant_int', + 'variant_mod', + 'variant_mul', + 'variant_neg', + 'variant_not', + 'variant_or', + 'variant_pow', + 'variant_round', + 'variant_set_type', + 'variant_set', + 'variant_sub', + 'variant_xor'), + 'CUBRID': ('cubrid_bind', + 'cubrid_close_prepare', + 'cubrid_close_request', + 'cubrid_col_get', + 'cubrid_col_size', + 'cubrid_column_names', + 'cubrid_column_types', + 'cubrid_commit', + 'cubrid_connect_with_url', + 'cubrid_connect', + 'cubrid_current_oid', + 'cubrid_disconnect', + 'cubrid_drop', + 'cubrid_error_code_facility', + 'cubrid_error_code', + 'cubrid_error_msg', + 'cubrid_execute', + 'cubrid_fetch', + 'cubrid_free_result', + 'cubrid_get_autocommit', + 'cubrid_get_charset', + 'cubrid_get_class_name', + 'cubrid_get_client_info', + 'cubrid_get_db_parameter', + 'cubrid_get_query_timeout', + 'cubrid_get_server_info', + 'cubrid_get', + 'cubrid_insert_id', + 'cubrid_is_instance', + 'cubrid_lob_close', + 'cubrid_lob_export', + 'cubrid_lob_get', + 'cubrid_lob_send', + 'cubrid_lob_size', + 'cubrid_lob2_bind', + 'cubrid_lob2_close', + 'cubrid_lob2_export', + 'cubrid_lob2_import', + 'cubrid_lob2_new', + 'cubrid_lob2_read', + 'cubrid_lob2_seek64', + 'cubrid_lob2_seek', + 'cubrid_lob2_size64', + 'cubrid_lob2_size', + 'cubrid_lob2_tell64', + 'cubrid_lob2_tell', + 'cubrid_lob2_write', + 'cubrid_lock_read', + 'cubrid_lock_write', + 'cubrid_move_cursor', + 'cubrid_next_result', + 'cubrid_num_cols', + 'cubrid_num_rows', + 'cubrid_pconnect_with_url', + 'cubrid_pconnect', + 'cubrid_prepare', + 'cubrid_put', + 'cubrid_rollback', + 'cubrid_schema', + 'cubrid_seq_drop', + 'cubrid_seq_insert', + 'cubrid_seq_put', + 'cubrid_set_add', + 'cubrid_set_autocommit', + 'cubrid_set_db_parameter', + 'cubrid_set_drop', + 'cubrid_set_query_timeout', + 'cubrid_version'), + 'Cairo': ('cairo_create', + 'cairo_font_face_get_type', + 'cairo_font_face_status', + 'cairo_font_options_create', + 'cairo_font_options_equal', + 'cairo_font_options_get_antialias', + 'cairo_font_options_get_hint_metrics', + 'cairo_font_options_get_hint_style', + 'cairo_font_options_get_subpixel_order', + 'cairo_font_options_hash', + 'cairo_font_options_merge', + 'cairo_font_options_set_antialias', + 'cairo_font_options_set_hint_metrics', + 'cairo_font_options_set_hint_style', + 'cairo_font_options_set_subpixel_order', + 'cairo_font_options_status', + 'cairo_format_stride_for_width', + 'cairo_image_surface_create_for_data', + 'cairo_image_surface_create_from_png', + 'cairo_image_surface_create', + 'cairo_image_surface_get_data', + 'cairo_image_surface_get_format', + 'cairo_image_surface_get_height', + 'cairo_image_surface_get_stride', + 'cairo_image_surface_get_width', + 'cairo_matrix_create_scale', + 'cairo_matrix_create_translate', + 'cairo_matrix_invert', + 'cairo_matrix_multiply', + 'cairo_matrix_rotate', + 'cairo_matrix_transform_distance', + 'cairo_matrix_transform_point', + 'cairo_matrix_translate', + 'cairo_pattern_add_color_stop_rgb', + 'cairo_pattern_add_color_stop_rgba', + 'cairo_pattern_create_for_surface', + 'cairo_pattern_create_linear', + 'cairo_pattern_create_radial', + 'cairo_pattern_create_rgb', + 'cairo_pattern_create_rgba', + 'cairo_pattern_get_color_stop_count', + 'cairo_pattern_get_color_stop_rgba', + 'cairo_pattern_get_extend', + 'cairo_pattern_get_filter', + 'cairo_pattern_get_linear_points', + 'cairo_pattern_get_matrix', + 'cairo_pattern_get_radial_circles', + 'cairo_pattern_get_rgba', + 'cairo_pattern_get_surface', + 'cairo_pattern_get_type', + 'cairo_pattern_set_extend', + 'cairo_pattern_set_filter', + 'cairo_pattern_set_matrix', + 'cairo_pattern_status', + 'cairo_pdf_surface_create', + 'cairo_pdf_surface_set_size', + 'cairo_ps_get_levels', + 'cairo_ps_level_to_string', + 'cairo_ps_surface_create', + 'cairo_ps_surface_dsc_begin_page_setup', + 'cairo_ps_surface_dsc_begin_setup', + 'cairo_ps_surface_dsc_comment', + 'cairo_ps_surface_get_eps', + 'cairo_ps_surface_restrict_to_level', + 'cairo_ps_surface_set_eps', + 'cairo_ps_surface_set_size', + 'cairo_scaled_font_create', + 'cairo_scaled_font_extents', + 'cairo_scaled_font_get_ctm', + 'cairo_scaled_font_get_font_face', + 'cairo_scaled_font_get_font_matrix', + 'cairo_scaled_font_get_font_options', + 'cairo_scaled_font_get_scale_matrix', + 'cairo_scaled_font_get_type', + 'cairo_scaled_font_glyph_extents', + 'cairo_scaled_font_status', + 'cairo_scaled_font_text_extents', + 'cairo_surface_copy_page', + 'cairo_surface_create_similar', + 'cairo_surface_finish', + 'cairo_surface_flush', + 'cairo_surface_get_content', + 'cairo_surface_get_device_offset', + 'cairo_surface_get_font_options', + 'cairo_surface_get_type', + 'cairo_surface_mark_dirty_rectangle', + 'cairo_surface_mark_dirty', + 'cairo_surface_set_device_offset', + 'cairo_surface_set_fallback_resolution', + 'cairo_surface_show_page', + 'cairo_surface_status', + 'cairo_surface_write_to_png', + 'cairo_svg_surface_create', + 'cairo_svg_surface_restrict_to_version', + 'cairo_svg_version_to_string'), + 'Calendar': ('cal_days_in_month', + 'cal_from_jd', + 'cal_info', + 'cal_to_jd', + 'easter_date', + 'easter_days', + 'FrenchToJD', + 'GregorianToJD', + 'JDDayOfWeek', + 'JDMonthName', + 'JDToFrench', + 'JDToGregorian', + 'jdtojewish', + 'JDToJulian', + 'jdtounix', + 'JewishToJD', + 'JulianToJD', + 'unixtojd'), + 'Classes/Object': ('__autoload', + 'call_user_method_array', + 'call_user_method', + 'class_alias', + 'class_exists', + 'get_called_class', + 'get_class_methods', + 'get_class_vars', + 'get_class', + 'get_declared_classes', + 'get_declared_interfaces', + 'get_declared_traits', + 'get_object_vars', + 'get_parent_class', + 'interface_exists', + 'is_a', + 'is_subclass_of', + 'method_exists', + 'property_exists', + 'trait_exists'), + 'Classkit': ('classkit_import', + 'classkit_method_add', + 'classkit_method_copy', + 'classkit_method_redefine', + 'classkit_method_remove', + 'classkit_method_rename'), + 'Crack': ('crack_check', + 'crack_closedict', + 'crack_getlastmessage', + 'crack_opendict'), + 'Ctype': ('ctype_alnum', + 'ctype_alpha', + 'ctype_cntrl', + 'ctype_digit', + 'ctype_graph', + 'ctype_lower', + 'ctype_print', + 'ctype_punct', + 'ctype_space', + 'ctype_upper', + 'ctype_xdigit'), + 'Cyrus': ('cyrus_authenticate', + 'cyrus_bind', + 'cyrus_close', + 'cyrus_connect', + 'cyrus_query', + 'cyrus_unbind'), + 'DB++': ('dbplus_add', + 'dbplus_aql', + 'dbplus_chdir', + 'dbplus_close', + 'dbplus_curr', + 'dbplus_errcode', + 'dbplus_errno', + 'dbplus_find', + 'dbplus_first', + 'dbplus_flush', + 'dbplus_freealllocks', + 'dbplus_freelock', + 'dbplus_freerlocks', + 'dbplus_getlock', + 'dbplus_getunique', + 'dbplus_info', + 'dbplus_last', + 'dbplus_lockrel', + 'dbplus_next', + 'dbplus_open', + 'dbplus_prev', + 'dbplus_rchperm', + 'dbplus_rcreate', + 'dbplus_rcrtexact', + 'dbplus_rcrtlike', + 'dbplus_resolve', + 'dbplus_restorepos', + 'dbplus_rkeys', + 'dbplus_ropen', + 'dbplus_rquery', + 'dbplus_rrename', + 'dbplus_rsecindex', + 'dbplus_runlink', + 'dbplus_rzap', + 'dbplus_savepos', + 'dbplus_setindex', + 'dbplus_setindexbynumber', + 'dbplus_sql', + 'dbplus_tcl', + 'dbplus_tremove', + 'dbplus_undo', + 'dbplus_undoprepare', + 'dbplus_unlockrel', + 'dbplus_unselect', + 'dbplus_update', + 'dbplus_xlockrel', + 'dbplus_xunlockrel'), + 'DBA': ('dba_close', + 'dba_delete', + 'dba_exists', + 'dba_fetch', + 'dba_firstkey', + 'dba_handlers', + 'dba_insert', + 'dba_key_split', + 'dba_list', + 'dba_nextkey', + 'dba_open', + 'dba_optimize', + 'dba_popen', + 'dba_replace', + 'dba_sync'), + 'DOM': ('dom_import_simplexml',), + 'Date/Time': ('checkdate', + 'date_add', + 'date_create_from_format', + 'date_create_immutable_from_format', + 'date_create_immutable', + 'date_create', + 'date_date_set', + 'date_default_timezone_get', + 'date_default_timezone_set', + 'date_diff', + 'date_format', + 'date_get_last_errors', + 'date_interval_create_from_date_string', + 'date_interval_format', + 'date_isodate_set', + 'date_modify', + 'date_offset_get', + 'date_parse_from_format', + 'date_parse', + 'date_sub', + 'date_sun_info', + 'date_sunrise', + 'date_sunset', + 'date_time_set', + 'date_timestamp_get', + 'date_timestamp_set', + 'date_timezone_get', + 'date_timezone_set', + 'date', + 'getdate', + 'gettimeofday', + 'gmdate', + 'gmmktime', + 'gmstrftime', + 'idate', + 'localtime', + 'microtime', + 'mktime', + 'strftime', + 'strptime', + 'strtotime', + 'time', + 'timezone_abbreviations_list', + 'timezone_identifiers_list', + 'timezone_location_get', + 'timezone_name_from_abbr', + 'timezone_name_get', + 'timezone_offset_get', + 'timezone_open', + 'timezone_transitions_get', + 'timezone_version_get'), + 'Direct IO': ('dio_close', + 'dio_fcntl', + 'dio_open', + 'dio_read', + 'dio_seek', + 'dio_stat', + 'dio_tcsetattr', + 'dio_truncate', + 'dio_write'), + 'Directory': ('chdir', + 'chroot', + 'closedir', + 'dir', + 'getcwd', + 'opendir', + 'readdir', + 'rewinddir', + 'scandir'), + 'Eio': ('eio_busy', + 'eio_cancel', + 'eio_chmod', + 'eio_chown', + 'eio_close', + 'eio_custom', + 'eio_dup2', + 'eio_event_loop', + 'eio_fallocate', + 'eio_fchmod', + 'eio_fchown', + 'eio_fdatasync', + 'eio_fstat', + 'eio_fstatvfs', + 'eio_fsync', + 'eio_ftruncate', + 'eio_futime', + 'eio_get_event_stream', + 'eio_get_last_error', + 'eio_grp_add', + 'eio_grp_cancel', + 'eio_grp_limit', + 'eio_grp', + 'eio_init', + 'eio_link', + 'eio_lstat', + 'eio_mkdir', + 'eio_mknod', + 'eio_nop', + 'eio_npending', + 'eio_nready', + 'eio_nreqs', + 'eio_nthreads', + 'eio_open', + 'eio_poll', + 'eio_read', + 'eio_readahead', + 'eio_readdir', + 'eio_readlink', + 'eio_realpath', + 'eio_rename', + 'eio_rmdir', + 'eio_seek', + 'eio_sendfile', + 'eio_set_max_idle', + 'eio_set_max_parallel', + 'eio_set_max_poll_reqs', + 'eio_set_max_poll_time', + 'eio_set_min_parallel', + 'eio_stat', + 'eio_statvfs', + 'eio_symlink', + 'eio_sync_file_range', + 'eio_sync', + 'eio_syncfs', + 'eio_truncate', + 'eio_unlink', + 'eio_utime', + 'eio_write'), + 'Enchant': ('enchant_broker_describe', + 'enchant_broker_dict_exists', + 'enchant_broker_free_dict', + 'enchant_broker_free', + 'enchant_broker_get_error', + 'enchant_broker_init', + 'enchant_broker_list_dicts', + 'enchant_broker_request_dict', + 'enchant_broker_request_pwl_dict', + 'enchant_broker_set_ordering', + 'enchant_dict_add_to_personal', + 'enchant_dict_add_to_session', + 'enchant_dict_check', + 'enchant_dict_describe', + 'enchant_dict_get_error', + 'enchant_dict_is_in_session', + 'enchant_dict_quick_check', + 'enchant_dict_store_replacement', + 'enchant_dict_suggest'), + 'Error Handling': ('debug_backtrace', + 'debug_print_backtrace', + 'error_get_last', + 'error_log', + 'error_reporting', + 'restore_error_handler', + 'restore_exception_handler', + 'set_error_handler', + 'set_exception_handler', + 'trigger_error', + 'user_error'), + 'Exif': ('exif_imagetype', + 'exif_read_data', + 'exif_tagname', + 'exif_thumbnail', + 'read_exif_data'), + 'Expect': ('expect_expectl', 'expect_popen'), + 'FAM': ('fam_cancel_monitor', + 'fam_close', + 'fam_monitor_collection', + 'fam_monitor_directory', + 'fam_monitor_file', + 'fam_next_event', + 'fam_open', + 'fam_pending', + 'fam_resume_monitor', + 'fam_suspend_monitor'), + 'FDF': ('fdf_add_doc_javascript', + 'fdf_add_template', + 'fdf_close', + 'fdf_create', + 'fdf_enum_values', + 'fdf_errno', + 'fdf_error', + 'fdf_get_ap', + 'fdf_get_attachment', + 'fdf_get_encoding', + 'fdf_get_file', + 'fdf_get_flags', + 'fdf_get_opt', + 'fdf_get_status', + 'fdf_get_value', + 'fdf_get_version', + 'fdf_header', + 'fdf_next_field_name', + 'fdf_open_string', + 'fdf_open', + 'fdf_remove_item', + 'fdf_save_string', + 'fdf_save', + 'fdf_set_ap', + 'fdf_set_encoding', + 'fdf_set_file', + 'fdf_set_flags', + 'fdf_set_javascript_action', + 'fdf_set_on_import_javascript', + 'fdf_set_opt', + 'fdf_set_status', + 'fdf_set_submit_form_action', + 'fdf_set_target_frame', + 'fdf_set_value', + 'fdf_set_version'), + 'FPM': ('fastcgi_finish_request',), + 'FTP': ('ftp_alloc', + 'ftp_cdup', + 'ftp_chdir', + 'ftp_chmod', + 'ftp_close', + 'ftp_connect', + 'ftp_delete', + 'ftp_exec', + 'ftp_fget', + 'ftp_fput', + 'ftp_get_option', + 'ftp_get', + 'ftp_login', + 'ftp_mdtm', + 'ftp_mkdir', + 'ftp_nb_continue', + 'ftp_nb_fget', + 'ftp_nb_fput', + 'ftp_nb_get', + 'ftp_nb_put', + 'ftp_nlist', + 'ftp_pasv', + 'ftp_put', + 'ftp_pwd', + 'ftp_quit', + 'ftp_raw', + 'ftp_rawlist', + 'ftp_rename', + 'ftp_rmdir', + 'ftp_set_option', + 'ftp_site', + 'ftp_size', + 'ftp_ssl_connect', + 'ftp_systype'), + 'Fann': ('fann_cascadetrain_on_data', + 'fann_cascadetrain_on_file', + 'fann_clear_scaling_params', + 'fann_copy', + 'fann_create_from_file', + 'fann_create_shortcut_array', + 'fann_create_shortcut', + 'fann_create_sparse_array', + 'fann_create_sparse', + 'fann_create_standard_array', + 'fann_create_standard', + 'fann_create_train_from_callback', + 'fann_create_train', + 'fann_descale_input', + 'fann_descale_output', + 'fann_descale_train', + 'fann_destroy_train', + 'fann_destroy', + 'fann_duplicate_train_data', + 'fann_get_activation_function', + 'fann_get_activation_steepness', + 'fann_get_bias_array', + 'fann_get_bit_fail_limit', + 'fann_get_bit_fail', + 'fann_get_cascade_activation_functions_count', + 'fann_get_cascade_activation_functions', + 'fann_get_cascade_activation_steepnesses_count', + 'fann_get_cascade_activation_steepnesses', + 'fann_get_cascade_candidate_change_fraction', + 'fann_get_cascade_candidate_limit', + 'fann_get_cascade_candidate_stagnation_epochs', + 'fann_get_cascade_max_cand_epochs', + 'fann_get_cascade_max_out_epochs', + 'fann_get_cascade_min_cand_epochs', + 'fann_get_cascade_min_out_epochs', + 'fann_get_cascade_num_candidate_groups', + 'fann_get_cascade_num_candidates', + 'fann_get_cascade_output_change_fraction', + 'fann_get_cascade_output_stagnation_epochs', + 'fann_get_cascade_weight_multiplier', + 'fann_get_connection_array', + 'fann_get_connection_rate', + 'fann_get_errno', + 'fann_get_errstr', + 'fann_get_layer_array', + 'fann_get_learning_momentum', + 'fann_get_learning_rate', + 'fann_get_MSE', + 'fann_get_network_type', + 'fann_get_num_input', + 'fann_get_num_layers', + 'fann_get_num_output', + 'fann_get_quickprop_decay', + 'fann_get_quickprop_mu', + 'fann_get_rprop_decrease_factor', + 'fann_get_rprop_delta_max', + 'fann_get_rprop_delta_min', + 'fann_get_rprop_delta_zero', + 'fann_get_rprop_increase_factor', + 'fann_get_sarprop_step_error_shift', + 'fann_get_sarprop_step_error_threshold_factor', + 'fann_get_sarprop_temperature', + 'fann_get_sarprop_weight_decay_shift', + 'fann_get_total_connections', + 'fann_get_total_neurons', + 'fann_get_train_error_function', + 'fann_get_train_stop_function', + 'fann_get_training_algorithm', + 'fann_init_weights', + 'fann_length_train_data', + 'fann_merge_train_data', + 'fann_num_input_train_data', + 'fann_num_output_train_data', + 'fann_print_error', + 'fann_randomize_weights', + 'fann_read_train_from_file', + 'fann_reset_errno', + 'fann_reset_errstr', + 'fann_reset_MSE', + 'fann_run', + 'fann_save_train', + 'fann_save', + 'fann_scale_input_train_data', + 'fann_scale_input', + 'fann_scale_output_train_data', + 'fann_scale_output', + 'fann_scale_train_data', + 'fann_scale_train', + 'fann_set_activation_function_hidden', + 'fann_set_activation_function_layer', + 'fann_set_activation_function_output', + 'fann_set_activation_function', + 'fann_set_activation_steepness_hidden', + 'fann_set_activation_steepness_layer', + 'fann_set_activation_steepness_output', + 'fann_set_activation_steepness', + 'fann_set_bit_fail_limit', + 'fann_set_callback', + 'fann_set_cascade_activation_functions', + 'fann_set_cascade_activation_steepnesses', + 'fann_set_cascade_candidate_change_fraction', + 'fann_set_cascade_candidate_limit', + 'fann_set_cascade_candidate_stagnation_epochs', + 'fann_set_cascade_max_cand_epochs', + 'fann_set_cascade_max_out_epochs', + 'fann_set_cascade_min_cand_epochs', + 'fann_set_cascade_min_out_epochs', + 'fann_set_cascade_num_candidate_groups', + 'fann_set_cascade_output_change_fraction', + 'fann_set_cascade_output_stagnation_epochs', + 'fann_set_cascade_weight_multiplier', + 'fann_set_error_log', + 'fann_set_input_scaling_params', + 'fann_set_learning_momentum', + 'fann_set_learning_rate', + 'fann_set_output_scaling_params', + 'fann_set_quickprop_decay', + 'fann_set_quickprop_mu', + 'fann_set_rprop_decrease_factor', + 'fann_set_rprop_delta_max', + 'fann_set_rprop_delta_min', + 'fann_set_rprop_delta_zero', + 'fann_set_rprop_increase_factor', + 'fann_set_sarprop_step_error_shift', + 'fann_set_sarprop_step_error_threshold_factor', + 'fann_set_sarprop_temperature', + 'fann_set_sarprop_weight_decay_shift', + 'fann_set_scaling_params', + 'fann_set_train_error_function', + 'fann_set_train_stop_function', + 'fann_set_training_algorithm', + 'fann_set_weight_array', + 'fann_set_weight', + 'fann_shuffle_train_data', + 'fann_subset_train_data', + 'fann_test_data', + 'fann_test', + 'fann_train_epoch', + 'fann_train_on_data', + 'fann_train_on_file', + 'fann_train'), + 'Fileinfo': ('finfo_buffer', + 'finfo_close', + 'finfo_file', + 'finfo_open', + 'finfo_set_flags', + 'mime_content_type'), + 'Filesystem': ('basename', + 'chgrp', + 'chmod', + 'chown', + 'clearstatcache', + 'copy', + 'dirname', + 'disk_free_space', + 'disk_total_space', + 'diskfreespace', + 'fclose', + 'feof', + 'fflush', + 'fgetc', + 'fgetcsv', + 'fgets', + 'fgetss', + 'file_exists', + 'file_get_contents', + 'file_put_contents', + 'file', + 'fileatime', + 'filectime', + 'filegroup', + 'fileinode', + 'filemtime', + 'fileowner', + 'fileperms', + 'filesize', + 'filetype', + 'flock', + 'fnmatch', + 'fopen', + 'fpassthru', + 'fputcsv', + 'fputs', + 'fread', + 'fscanf', + 'fseek', + 'fstat', + 'ftell', + 'ftruncate', + 'fwrite', + 'glob', + 'is_dir', + 'is_executable', + 'is_file', + 'is_link', + 'is_readable', + 'is_uploaded_file', + 'is_writable', + 'is_writeable', + 'lchgrp', + 'lchown', + 'link', + 'linkinfo', + 'lstat', + 'mkdir', + 'move_uploaded_file', + 'parse_ini_file', + 'parse_ini_string', + 'pathinfo', + 'pclose', + 'popen', + 'readfile', + 'readlink', + 'realpath_cache_get', + 'realpath_cache_size', + 'realpath', + 'rename', + 'rewind', + 'rmdir', + 'set_file_buffer', + 'stat', + 'symlink', + 'tempnam', + 'tmpfile', + 'touch', + 'umask', + 'unlink'), + 'Filter': ('filter_has_var', + 'filter_id', + 'filter_input_array', + 'filter_input', + 'filter_list', + 'filter_var_array', + 'filter_var'), + 'Firebird/InterBase': ('ibase_add_user', + 'ibase_affected_rows', + 'ibase_backup', + 'ibase_blob_add', + 'ibase_blob_cancel', + 'ibase_blob_close', + 'ibase_blob_create', + 'ibase_blob_echo', + 'ibase_blob_get', + 'ibase_blob_import', + 'ibase_blob_info', + 'ibase_blob_open', + 'ibase_close', + 'ibase_commit_ret', + 'ibase_commit', + 'ibase_connect', + 'ibase_db_info', + 'ibase_delete_user', + 'ibase_drop_db', + 'ibase_errcode', + 'ibase_errmsg', + 'ibase_execute', + 'ibase_fetch_assoc', + 'ibase_fetch_object', + 'ibase_fetch_row', + 'ibase_field_info', + 'ibase_free_event_handler', + 'ibase_free_query', + 'ibase_free_result', + 'ibase_gen_id', + 'ibase_maintain_db', + 'ibase_modify_user', + 'ibase_name_result', + 'ibase_num_fields', + 'ibase_num_params', + 'ibase_param_info', + 'ibase_pconnect', + 'ibase_prepare', + 'ibase_query', + 'ibase_restore', + 'ibase_rollback_ret', + 'ibase_rollback', + 'ibase_server_info', + 'ibase_service_attach', + 'ibase_service_detach', + 'ibase_set_event_handler', + 'ibase_trans', + 'ibase_wait_event'), + 'FriBiDi': ('fribidi_log2vis',), + 'FrontBase': ('fbsql_affected_rows', + 'fbsql_autocommit', + 'fbsql_blob_size', + 'fbsql_change_user', + 'fbsql_clob_size', + 'fbsql_close', + 'fbsql_commit', + 'fbsql_connect', + 'fbsql_create_blob', + 'fbsql_create_clob', + 'fbsql_create_db', + 'fbsql_data_seek', + 'fbsql_database_password', + 'fbsql_database', + 'fbsql_db_query', + 'fbsql_db_status', + 'fbsql_drop_db', + 'fbsql_errno', + 'fbsql_error', + 'fbsql_fetch_array', + 'fbsql_fetch_assoc', + 'fbsql_fetch_field', + 'fbsql_fetch_lengths', + 'fbsql_fetch_object', + 'fbsql_fetch_row', + 'fbsql_field_flags', + 'fbsql_field_len', + 'fbsql_field_name', + 'fbsql_field_seek', + 'fbsql_field_table', + 'fbsql_field_type', + 'fbsql_free_result', + 'fbsql_get_autostart_info', + 'fbsql_hostname', + 'fbsql_insert_id', + 'fbsql_list_dbs', + 'fbsql_list_fields', + 'fbsql_list_tables', + 'fbsql_next_result', + 'fbsql_num_fields', + 'fbsql_num_rows', + 'fbsql_password', + 'fbsql_pconnect', + 'fbsql_query', + 'fbsql_read_blob', + 'fbsql_read_clob', + 'fbsql_result', + 'fbsql_rollback', + 'fbsql_rows_fetched', + 'fbsql_select_db', + 'fbsql_set_characterset', + 'fbsql_set_lob_mode', + 'fbsql_set_password', + 'fbsql_set_transaction', + 'fbsql_start_db', + 'fbsql_stop_db', + 'fbsql_table_name', + 'fbsql_tablename', + 'fbsql_username', + 'fbsql_warnings'), + 'Function handling': ('call_user_func_array', + 'call_user_func', + 'create_function', + 'forward_static_call_array', + 'forward_static_call', + 'func_get_arg', + 'func_get_args', + 'func_num_args', + 'function_exists', + 'get_defined_functions', + 'register_shutdown_function', + 'register_tick_function', + 'unregister_tick_function'), + 'GD and Image': ('gd_info', + 'getimagesize', + 'getimagesizefromstring', + 'image_type_to_extension', + 'image_type_to_mime_type', + 'image2wbmp', + 'imageaffine', + 'imageaffinematrixconcat', + 'imageaffinematrixget', + 'imagealphablending', + 'imageantialias', + 'imagearc', + 'imagechar', + 'imagecharup', + 'imagecolorallocate', + 'imagecolorallocatealpha', + 'imagecolorat', + 'imagecolorclosest', + 'imagecolorclosestalpha', + 'imagecolorclosesthwb', + 'imagecolordeallocate', + 'imagecolorexact', + 'imagecolorexactalpha', + 'imagecolormatch', + 'imagecolorresolve', + 'imagecolorresolvealpha', + 'imagecolorset', + 'imagecolorsforindex', + 'imagecolorstotal', + 'imagecolortransparent', + 'imageconvolution', + 'imagecopy', + 'imagecopymerge', + 'imagecopymergegray', + 'imagecopyresampled', + 'imagecopyresized', + 'imagecreate', + 'imagecreatefromgd2', + 'imagecreatefromgd2part', + 'imagecreatefromgd', + 'imagecreatefromgif', + 'imagecreatefromjpeg', + 'imagecreatefrompng', + 'imagecreatefromstring', + 'imagecreatefromwbmp', + 'imagecreatefromwebp', + 'imagecreatefromxbm', + 'imagecreatefromxpm', + 'imagecreatetruecolor', + 'imagecrop', + 'imagecropauto', + 'imagedashedline', + 'imagedestroy', + 'imageellipse', + 'imagefill', + 'imagefilledarc', + 'imagefilledellipse', + 'imagefilledpolygon', + 'imagefilledrectangle', + 'imagefilltoborder', + 'imagefilter', + 'imageflip', + 'imagefontheight', + 'imagefontwidth', + 'imageftbbox', + 'imagefttext', + 'imagegammacorrect', + 'imagegd2', + 'imagegd', + 'imagegif', + 'imagegrabscreen', + 'imagegrabwindow', + 'imageinterlace', + 'imageistruecolor', + 'imagejpeg', + 'imagelayereffect', + 'imageline', + 'imageloadfont', + 'imagepalettecopy', + 'imagepalettetotruecolor', + 'imagepng', + 'imagepolygon', + 'imagepsbbox', + 'imagepsencodefont', + 'imagepsextendfont', + 'imagepsfreefont', + 'imagepsloadfont', + 'imagepsslantfont', + 'imagepstext', + 'imagerectangle', + 'imagerotate', + 'imagesavealpha', + 'imagescale', + 'imagesetbrush', + 'imagesetinterpolation', + 'imagesetpixel', + 'imagesetstyle', + 'imagesetthickness', + 'imagesettile', + 'imagestring', + 'imagestringup', + 'imagesx', + 'imagesy', + 'imagetruecolortopalette', + 'imagettfbbox', + 'imagettftext', + 'imagetypes', + 'imagewbmp', + 'imagewebp', + 'imagexbm', + 'iptcembed', + 'iptcparse', + 'jpeg2wbmp', + 'png2wbmp'), + 'GMP': ('gmp_abs', + 'gmp_add', + 'gmp_and', + 'gmp_clrbit', + 'gmp_cmp', + 'gmp_com', + 'gmp_div_q', + 'gmp_div_qr', + 'gmp_div_r', + 'gmp_div', + 'gmp_divexact', + 'gmp_fact', + 'gmp_gcd', + 'gmp_gcdext', + 'gmp_hamdist', + 'gmp_init', + 'gmp_intval', + 'gmp_invert', + 'gmp_jacobi', + 'gmp_legendre', + 'gmp_mod', + 'gmp_mul', + 'gmp_neg', + 'gmp_nextprime', + 'gmp_or', + 'gmp_perfect_square', + 'gmp_popcount', + 'gmp_pow', + 'gmp_powm', + 'gmp_prob_prime', + 'gmp_random', + 'gmp_scan0', + 'gmp_scan1', + 'gmp_setbit', + 'gmp_sign', + 'gmp_sqrt', + 'gmp_sqrtrem', + 'gmp_strval', + 'gmp_sub', + 'gmp_testbit', + 'gmp_xor'), + 'GeoIP': ('geoip_asnum_by_name', + 'geoip_continent_code_by_name', + 'geoip_country_code_by_name', + 'geoip_country_code3_by_name', + 'geoip_country_name_by_name', + 'geoip_database_info', + 'geoip_db_avail', + 'geoip_db_filename', + 'geoip_db_get_all_info', + 'geoip_domain_by_name', + 'geoip_id_by_name', + 'geoip_isp_by_name', + 'geoip_netspeedcell_by_name', + 'geoip_org_by_name', + 'geoip_record_by_name', + 'geoip_region_by_name', + 'geoip_region_name_by_code', + 'geoip_setup_custom_directory', + 'geoip_time_zone_by_country_and_region'), + 'Gettext': ('bind_textdomain_codeset', + 'bindtextdomain', + 'dcgettext', + 'dcngettext', + 'dgettext', + 'dngettext', + 'gettext', + 'ngettext', + 'textdomain'), + 'GnuPG': ('gnupg_adddecryptkey', + 'gnupg_addencryptkey', + 'gnupg_addsignkey', + 'gnupg_cleardecryptkeys', + 'gnupg_clearencryptkeys', + 'gnupg_clearsignkeys', + 'gnupg_decrypt', + 'gnupg_decryptverify', + 'gnupg_encrypt', + 'gnupg_encryptsign', + 'gnupg_export', + 'gnupg_geterror', + 'gnupg_getprotocol', + 'gnupg_import', + 'gnupg_init', + 'gnupg_keyinfo', + 'gnupg_setarmor', + 'gnupg_seterrormode', + 'gnupg_setsignmode', + 'gnupg_sign', + 'gnupg_verify'), + 'Gopher': ('gopher_parsedir',), + 'Grapheme': ('grapheme_extract', + 'grapheme_stripos', + 'grapheme_stristr', + 'grapheme_strlen', + 'grapheme_strpos', + 'grapheme_strripos', + 'grapheme_strrpos', + 'grapheme_strstr', + 'grapheme_substr'), + 'Gupnp': ('gupnp_context_get_host_ip', + 'gupnp_context_get_port', + 'gupnp_context_get_subscription_timeout', + 'gupnp_context_host_path', + 'gupnp_context_new', + 'gupnp_context_set_subscription_timeout', + 'gupnp_context_timeout_add', + 'gupnp_context_unhost_path', + 'gupnp_control_point_browse_start', + 'gupnp_control_point_browse_stop', + 'gupnp_control_point_callback_set', + 'gupnp_control_point_new', + 'gupnp_device_action_callback_set', + 'gupnp_device_info_get_service', + 'gupnp_device_info_get', + 'gupnp_root_device_get_available', + 'gupnp_root_device_get_relative_location', + 'gupnp_root_device_new', + 'gupnp_root_device_set_available', + 'gupnp_root_device_start', + 'gupnp_root_device_stop', + 'gupnp_service_action_get', + 'gupnp_service_action_return_error', + 'gupnp_service_action_return', + 'gupnp_service_action_set', + 'gupnp_service_freeze_notify', + 'gupnp_service_info_get_introspection', + 'gupnp_service_info_get', + 'gupnp_service_introspection_get_state_variable', + 'gupnp_service_notify', + 'gupnp_service_proxy_action_get', + 'gupnp_service_proxy_action_set', + 'gupnp_service_proxy_add_notify', + 'gupnp_service_proxy_callback_set', + 'gupnp_service_proxy_get_subscribed', + 'gupnp_service_proxy_remove_notify', + 'gupnp_service_proxy_set_subscribed', + 'gupnp_service_thaw_notify'), + 'HTTP': ('http_cache_etag', + 'http_cache_last_modified', + 'http_chunked_decode', + 'http_deflate', + 'http_inflate', + 'http_build_cookie', + 'http_date', + 'http_get_request_body_stream', + 'http_get_request_body', + 'http_get_request_headers', + 'http_match_etag', + 'http_match_modified', + 'http_match_request_header', + 'http_support', + 'http_negotiate_charset', + 'http_negotiate_content_type', + 'http_negotiate_language', + 'ob_deflatehandler', + 'ob_etaghandler', + 'ob_inflatehandler', + 'http_parse_cookie', + 'http_parse_headers', + 'http_parse_message', + 'http_parse_params', + 'http_persistent_handles_clean', + 'http_persistent_handles_count', + 'http_persistent_handles_ident', + 'http_get', + 'http_head', + 'http_post_data', + 'http_post_fields', + 'http_put_data', + 'http_put_file', + 'http_put_stream', + 'http_request_body_encode', + 'http_request_method_exists', + 'http_request_method_name', + 'http_request_method_register', + 'http_request_method_unregister', + 'http_request', + 'http_redirect', + 'http_send_content_disposition', + 'http_send_content_type', + 'http_send_data', + 'http_send_file', + 'http_send_last_modified', + 'http_send_status', + 'http_send_stream', + 'http_throttle', + 'http_build_str', + 'http_build_url'), + 'Hash': ('hash_algos', + 'hash_copy', + 'hash_file', + 'hash_final', + 'hash_hmac_file', + 'hash_hmac', + 'hash_init', + 'hash_pbkdf2', + 'hash_update_file', + 'hash_update_stream', + 'hash_update', + 'hash'), + 'Hyperwave': ('hw_Array2Objrec', + 'hw_changeobject', + 'hw_Children', + 'hw_ChildrenObj', + 'hw_Close', + 'hw_Connect', + 'hw_connection_info', + 'hw_cp', + 'hw_Deleteobject', + 'hw_DocByAnchor', + 'hw_DocByAnchorObj', + 'hw_Document_Attributes', + 'hw_Document_BodyTag', + 'hw_Document_Content', + 'hw_Document_SetContent', + 'hw_Document_Size', + 'hw_dummy', + 'hw_EditText', + 'hw_Error', + 'hw_ErrorMsg', + 'hw_Free_Document', + 'hw_GetAnchors', + 'hw_GetAnchorsObj', + 'hw_GetAndLock', + 'hw_GetChildColl', + 'hw_GetChildCollObj', + 'hw_GetChildDocColl', + 'hw_GetChildDocCollObj', + 'hw_GetObject', + 'hw_GetObjectByQuery', + 'hw_GetObjectByQueryColl', + 'hw_GetObjectByQueryCollObj', + 'hw_GetObjectByQueryObj', + 'hw_GetParents', + 'hw_GetParentsObj', + 'hw_getrellink', + 'hw_GetRemote', + 'hw_getremotechildren', + 'hw_GetSrcByDestObj', + 'hw_GetText', + 'hw_getusername', + 'hw_Identify', + 'hw_InCollections', + 'hw_Info', + 'hw_InsColl', + 'hw_InsDoc', + 'hw_insertanchors', + 'hw_InsertDocument', + 'hw_InsertObject', + 'hw_mapid', + 'hw_Modifyobject', + 'hw_mv', + 'hw_New_Document', + 'hw_objrec2array', + 'hw_Output_Document', + 'hw_pConnect', + 'hw_PipeDocument', + 'hw_Root', + 'hw_setlinkroot', + 'hw_stat', + 'hw_Unlock', + 'hw_Who'), + 'Hyperwave API': ('hwapi_attribute_new', + 'hwapi_content_new', + 'hwapi_hgcsp', + 'hwapi_object_new'), + 'IBM DB2': ('db2_autocommit', + 'db2_bind_param', + 'db2_client_info', + 'db2_close', + 'db2_column_privileges', + 'db2_columns', + 'db2_commit', + 'db2_conn_error', + 'db2_conn_errormsg', + 'db2_connect', + 'db2_cursor_type', + 'db2_escape_string', + 'db2_exec', + 'db2_execute', + 'db2_fetch_array', + 'db2_fetch_assoc', + 'db2_fetch_both', + 'db2_fetch_object', + 'db2_fetch_row', + 'db2_field_display_size', + 'db2_field_name', + 'db2_field_num', + 'db2_field_precision', + 'db2_field_scale', + 'db2_field_type', + 'db2_field_width', + 'db2_foreign_keys', + 'db2_free_result', + 'db2_free_stmt', + 'db2_get_option', + 'db2_last_insert_id', + 'db2_lob_read', + 'db2_next_result', + 'db2_num_fields', + 'db2_num_rows', + 'db2_pclose', + 'db2_pconnect', + 'db2_prepare', + 'db2_primary_keys', + 'db2_procedure_columns', + 'db2_procedures', + 'db2_result', + 'db2_rollback', + 'db2_server_info', + 'db2_set_option', + 'db2_special_columns', + 'db2_statistics', + 'db2_stmt_error', + 'db2_stmt_errormsg', + 'db2_table_privileges', + 'db2_tables'), + 'ID3': ('id3_get_frame_long_name', + 'id3_get_frame_short_name', + 'id3_get_genre_id', + 'id3_get_genre_list', + 'id3_get_genre_name', + 'id3_get_tag', + 'id3_get_version', + 'id3_remove_tag', + 'id3_set_tag'), + 'IDN': ('grapheme_substr', 'idn_to_ascii', 'idn_to_unicode', 'idn_to_utf8'), + 'IIS': ('iis_add_server', + 'iis_get_dir_security', + 'iis_get_script_map', + 'iis_get_server_by_comment', + 'iis_get_server_by_path', + 'iis_get_server_rights', + 'iis_get_service_state', + 'iis_remove_server', + 'iis_set_app_settings', + 'iis_set_dir_security', + 'iis_set_script_map', + 'iis_set_server_rights', + 'iis_start_server', + 'iis_start_service', + 'iis_stop_server', + 'iis_stop_service'), + 'IMAP': ('imap_8bit', + 'imap_alerts', + 'imap_append', + 'imap_base64', + 'imap_binary', + 'imap_body', + 'imap_bodystruct', + 'imap_check', + 'imap_clearflag_full', + 'imap_close', + 'imap_create', + 'imap_createmailbox', + 'imap_delete', + 'imap_deletemailbox', + 'imap_errors', + 'imap_expunge', + 'imap_fetch_overview', + 'imap_fetchbody', + 'imap_fetchheader', + 'imap_fetchmime', + 'imap_fetchstructure', + 'imap_fetchtext', + 'imap_gc', + 'imap_get_quota', + 'imap_get_quotaroot', + 'imap_getacl', + 'imap_getmailboxes', + 'imap_getsubscribed', + 'imap_header', + 'imap_headerinfo', + 'imap_headers', + 'imap_last_error', + 'imap_list', + 'imap_listmailbox', + 'imap_listscan', + 'imap_listsubscribed', + 'imap_lsub', + 'imap_mail_compose', + 'imap_mail_copy', + 'imap_mail_move', + 'imap_mail', + 'imap_mailboxmsginfo', + 'imap_mime_header_decode', + 'imap_msgno', + 'imap_num_msg', + 'imap_num_recent', + 'imap_open', + 'imap_ping', + 'imap_qprint', + 'imap_rename', + 'imap_renamemailbox', + 'imap_reopen', + 'imap_rfc822_parse_adrlist', + 'imap_rfc822_parse_headers', + 'imap_rfc822_write_address', + 'imap_savebody', + 'imap_scan', + 'imap_scanmailbox', + 'imap_search', + 'imap_set_quota', + 'imap_setacl', + 'imap_setflag_full', + 'imap_sort', + 'imap_status', + 'imap_subscribe', + 'imap_thread', + 'imap_timeout', + 'imap_uid', + 'imap_undelete', + 'imap_unsubscribe', + 'imap_utf7_decode', + 'imap_utf7_encode', + 'imap_utf8'), + 'Informix': ('ifx_affected_rows', + 'ifx_blobinfile_mode', + 'ifx_byteasvarchar', + 'ifx_close', + 'ifx_connect', + 'ifx_copy_blob', + 'ifx_create_blob', + 'ifx_create_char', + 'ifx_do', + 'ifx_error', + 'ifx_errormsg', + 'ifx_fetch_row', + 'ifx_fieldproperties', + 'ifx_fieldtypes', + 'ifx_free_blob', + 'ifx_free_char', + 'ifx_free_result', + 'ifx_get_blob', + 'ifx_get_char', + 'ifx_getsqlca', + 'ifx_htmltbl_result', + 'ifx_nullformat', + 'ifx_num_fields', + 'ifx_num_rows', + 'ifx_pconnect', + 'ifx_prepare', + 'ifx_query', + 'ifx_textasvarchar', + 'ifx_update_blob', + 'ifx_update_char', + 'ifxus_close_slob', + 'ifxus_create_slob', + 'ifxus_free_slob', + 'ifxus_open_slob', + 'ifxus_read_slob', + 'ifxus_seek_slob', + 'ifxus_tell_slob', + 'ifxus_write_slob'), + 'Ingres': ('ingres_autocommit_state', + 'ingres_autocommit', + 'ingres_charset', + 'ingres_close', + 'ingres_commit', + 'ingres_connect', + 'ingres_cursor', + 'ingres_errno', + 'ingres_error', + 'ingres_errsqlstate', + 'ingres_escape_string', + 'ingres_execute', + 'ingres_fetch_array', + 'ingres_fetch_assoc', + 'ingres_fetch_object', + 'ingres_fetch_proc_return', + 'ingres_fetch_row', + 'ingres_field_length', + 'ingres_field_name', + 'ingres_field_nullable', + 'ingres_field_precision', + 'ingres_field_scale', + 'ingres_field_type', + 'ingres_free_result', + 'ingres_next_error', + 'ingres_num_fields', + 'ingres_num_rows', + 'ingres_pconnect', + 'ingres_prepare', + 'ingres_query', + 'ingres_result_seek', + 'ingres_rollback', + 'ingres_set_environment', + 'ingres_unbuffered_query'), + 'Inotify': ('inotify_add_watch', + 'inotify_init', + 'inotify_queue_len', + 'inotify_read', + 'inotify_rm_watch'), + 'JSON': ('json_decode', + 'json_encode', + 'json_last_error_msg', + 'json_last_error'), + 'Java': ('java_last_exception_clear', 'java_last_exception_get'), + 'Judy': ('judy_type', 'judy_version'), + 'KADM5': ('kadm5_chpass_principal', + 'kadm5_create_principal', + 'kadm5_delete_principal', + 'kadm5_destroy', + 'kadm5_flush', + 'kadm5_get_policies', + 'kadm5_get_principal', + 'kadm5_get_principals', + 'kadm5_init_with_password', + 'kadm5_modify_principal'), + 'LDAP': ('ldap_8859_to_t61', + 'ldap_add', + 'ldap_bind', + 'ldap_close', + 'ldap_compare', + 'ldap_connect', + 'ldap_control_paged_result_response', + 'ldap_control_paged_result', + 'ldap_count_entries', + 'ldap_delete', + 'ldap_dn2ufn', + 'ldap_err2str', + 'ldap_errno', + 'ldap_error', + 'ldap_explode_dn', + 'ldap_first_attribute', + 'ldap_first_entry', + 'ldap_first_reference', + 'ldap_free_result', + 'ldap_get_attributes', + 'ldap_get_dn', + 'ldap_get_entries', + 'ldap_get_option', + 'ldap_get_values_len', + 'ldap_get_values', + 'ldap_list', + 'ldap_mod_add', + 'ldap_mod_del', + 'ldap_mod_replace', + 'ldap_modify', + 'ldap_next_attribute', + 'ldap_next_entry', + 'ldap_next_reference', + 'ldap_parse_reference', + 'ldap_parse_result', + 'ldap_read', + 'ldap_rename', + 'ldap_sasl_bind', + 'ldap_search', + 'ldap_set_option', + 'ldap_set_rebind_proc', + 'ldap_sort', + 'ldap_start_tls', + 'ldap_t61_to_8859', + 'ldap_unbind'), + 'LZF': ('lzf_compress', 'lzf_decompress', 'lzf_optimized_for'), + 'Libevent': ('event_add', + 'event_base_free', + 'event_base_loop', + 'event_base_loopbreak', + 'event_base_loopexit', + 'event_base_new', + 'event_base_priority_init', + 'event_base_set', + 'event_buffer_base_set', + 'event_buffer_disable', + 'event_buffer_enable', + 'event_buffer_fd_set', + 'event_buffer_free', + 'event_buffer_new', + 'event_buffer_priority_set', + 'event_buffer_read', + 'event_buffer_set_callback', + 'event_buffer_timeout_set', + 'event_buffer_watermark_set', + 'event_buffer_write', + 'event_del', + 'event_free', + 'event_new', + 'event_set'), + 'Lotus Notes': ('notes_body', + 'notes_copy_db', + 'notes_create_db', + 'notes_create_note', + 'notes_drop_db', + 'notes_find_note', + 'notes_header_info', + 'notes_list_msgs', + 'notes_mark_read', + 'notes_mark_unread', + 'notes_nav_create', + 'notes_search', + 'notes_unread', + 'notes_version'), + 'MCVE': ('m_checkstatus', + 'm_completeauthorizations', + 'm_connect', + 'm_connectionerror', + 'm_deletetrans', + 'm_destroyconn', + 'm_destroyengine', + 'm_getcell', + 'm_getcellbynum', + 'm_getcommadelimited', + 'm_getheader', + 'm_initconn', + 'm_initengine', + 'm_iscommadelimited', + 'm_maxconntimeout', + 'm_monitor', + 'm_numcolumns', + 'm_numrows', + 'm_parsecommadelimited', + 'm_responsekeys', + 'm_responseparam', + 'm_returnstatus', + 'm_setblocking', + 'm_setdropfile', + 'm_setip', + 'm_setssl_cafile', + 'm_setssl_files', + 'm_setssl', + 'm_settimeout', + 'm_sslcert_gen_hash', + 'm_transactionssent', + 'm_transinqueue', + 'm_transkeyval', + 'm_transnew', + 'm_transsend', + 'm_uwait', + 'm_validateidentifier', + 'm_verifyconnection', + 'm_verifysslcert'), + 'Mail': ('ezmlm_hash', 'mail'), + 'Mailparse': ('mailparse_determine_best_xfer_encoding', + 'mailparse_msg_create', + 'mailparse_msg_extract_part_file', + 'mailparse_msg_extract_part', + 'mailparse_msg_extract_whole_part_file', + 'mailparse_msg_free', + 'mailparse_msg_get_part_data', + 'mailparse_msg_get_part', + 'mailparse_msg_get_structure', + 'mailparse_msg_parse_file', + 'mailparse_msg_parse', + 'mailparse_rfc822_parse_addresses', + 'mailparse_stream_encode', + 'mailparse_uudecode_all'), + 'Math': ('abs', + 'acos', + 'acosh', + 'asin', + 'asinh', + 'atan2', + 'atan', + 'atanh', + 'base_convert', + 'bindec', + 'ceil', + 'cos', + 'cosh', + 'decbin', + 'dechex', + 'decoct', + 'deg2rad', + 'exp', + 'expm1', + 'floor', + 'fmod', + 'getrandmax', + 'hexdec', + 'hypot', + 'is_finite', + 'is_infinite', + 'is_nan', + 'lcg_value', + 'log10', + 'log1p', + 'log', + 'max', + 'min', + 'mt_getrandmax', + 'mt_rand', + 'mt_srand', + 'octdec', + 'pi', + 'pow', + 'rad2deg', + 'rand', + 'round', + 'sin', + 'sinh', + 'sqrt', + 'srand', + 'tan', + 'tanh'), + 'MaxDB': ('maxdb_affected_rows', + 'maxdb_autocommit', + 'maxdb_bind_param', + 'maxdb_bind_result', + 'maxdb_change_user', + 'maxdb_character_set_name', + 'maxdb_client_encoding', + 'maxdb_close_long_data', + 'maxdb_close', + 'maxdb_commit', + 'maxdb_connect_errno', + 'maxdb_connect_error', + 'maxdb_connect', + 'maxdb_data_seek', + 'maxdb_debug', + 'maxdb_disable_reads_from_master', + 'maxdb_disable_rpl_parse', + 'maxdb_dump_debug_info', + 'maxdb_embedded_connect', + 'maxdb_enable_reads_from_master', + 'maxdb_enable_rpl_parse', + 'maxdb_errno', + 'maxdb_error', + 'maxdb_escape_string', + 'maxdb_execute', + 'maxdb_fetch_array', + 'maxdb_fetch_assoc', + 'maxdb_fetch_field_direct', + 'maxdb_fetch_field', + 'maxdb_fetch_fields', + 'maxdb_fetch_lengths', + 'maxdb_fetch_object', + 'maxdb_fetch_row', + 'maxdb_fetch', + 'maxdb_field_count', + 'maxdb_field_seek', + 'maxdb_field_tell', + 'maxdb_free_result', + 'maxdb_get_client_info', + 'maxdb_get_client_version', + 'maxdb_get_host_info', + 'maxdb_get_metadata', + 'maxdb_get_proto_info', + 'maxdb_get_server_info', + 'maxdb_get_server_version', + 'maxdb_info', + 'maxdb_init', + 'maxdb_insert_id', + 'maxdb_kill', + 'maxdb_master_query', + 'maxdb_more_results', + 'maxdb_multi_query', + 'maxdb_next_result', + 'maxdb_num_fields', + 'maxdb_num_rows', + 'maxdb_options', + 'maxdb_param_count', + 'maxdb_ping', + 'maxdb_prepare', + 'maxdb_query', + 'maxdb_real_connect', + 'maxdb_real_escape_string', + 'maxdb_real_query', + 'maxdb_report', + 'maxdb_rollback', + 'maxdb_rpl_parse_enabled', + 'maxdb_rpl_probe', + 'maxdb_rpl_query_type', + 'maxdb_select_db', + 'maxdb_send_long_data', + 'maxdb_send_query', + 'maxdb_server_end', + 'maxdb_server_init', + 'maxdb_set_opt', + 'maxdb_sqlstate', + 'maxdb_ssl_set', + 'maxdb_stat', + 'maxdb_stmt_affected_rows', + 'maxdb_stmt_bind_param', + 'maxdb_stmt_bind_result', + 'maxdb_stmt_close_long_data', + 'maxdb_stmt_close', + 'maxdb_stmt_data_seek', + 'maxdb_stmt_errno', + 'maxdb_stmt_error', + 'maxdb_stmt_execute', + 'maxdb_stmt_fetch', + 'maxdb_stmt_free_result', + 'maxdb_stmt_init', + 'maxdb_stmt_num_rows', + 'maxdb_stmt_param_count', + 'maxdb_stmt_prepare', + 'maxdb_stmt_reset', + 'maxdb_stmt_result_metadata', + 'maxdb_stmt_send_long_data', + 'maxdb_stmt_sqlstate', + 'maxdb_stmt_store_result', + 'maxdb_store_result', + 'maxdb_thread_id', + 'maxdb_thread_safe', + 'maxdb_use_result', + 'maxdb_warning_count'), + 'Mcrypt': ('mcrypt_cbc', + 'mcrypt_cfb', + 'mcrypt_create_iv', + 'mcrypt_decrypt', + 'mcrypt_ecb', + 'mcrypt_enc_get_algorithms_name', + 'mcrypt_enc_get_block_size', + 'mcrypt_enc_get_iv_size', + 'mcrypt_enc_get_key_size', + 'mcrypt_enc_get_modes_name', + 'mcrypt_enc_get_supported_key_sizes', + 'mcrypt_enc_is_block_algorithm_mode', + 'mcrypt_enc_is_block_algorithm', + 'mcrypt_enc_is_block_mode', + 'mcrypt_enc_self_test', + 'mcrypt_encrypt', + 'mcrypt_generic_deinit', + 'mcrypt_generic_end', + 'mcrypt_generic_init', + 'mcrypt_generic', + 'mcrypt_get_block_size', + 'mcrypt_get_cipher_name', + 'mcrypt_get_iv_size', + 'mcrypt_get_key_size', + 'mcrypt_list_algorithms', + 'mcrypt_list_modes', + 'mcrypt_module_close', + 'mcrypt_module_get_algo_block_size', + 'mcrypt_module_get_algo_key_size', + 'mcrypt_module_get_supported_key_sizes', + 'mcrypt_module_is_block_algorithm_mode', + 'mcrypt_module_is_block_algorithm', + 'mcrypt_module_is_block_mode', + 'mcrypt_module_open', + 'mcrypt_module_self_test', + 'mcrypt_ofb', + 'mdecrypt_generic'), + 'Memcache': ('memcache_debug',), + 'Mhash': ('mhash_count', + 'mhash_get_block_size', + 'mhash_get_hash_name', + 'mhash_keygen_s2k', + 'mhash'), + 'Ming': ('ming_keypress', + 'ming_setcubicthreshold', + 'ming_setscale', + 'ming_setswfcompression', + 'ming_useconstants', + 'ming_useswfversion'), + 'Misc.': ('connection_aborted', + 'connection_status', + 'connection_timeout', + 'constant', + 'define', + 'defined', + 'die', + 'eval', + 'exit', + 'get_browser', + '__halt_compiler', + 'highlight_file', + 'highlight_string', + 'ignore_user_abort', + 'pack', + 'php_check_syntax', + 'php_strip_whitespace', + 'show_source', + 'sleep', + 'sys_getloadavg', + 'time_nanosleep', + 'time_sleep_until', + 'uniqid', + 'unpack', + 'usleep'), + 'Mongo': ('bson_decode', 'bson_encode'), + 'Msession': ('msession_connect', + 'msession_count', + 'msession_create', + 'msession_destroy', + 'msession_disconnect', + 'msession_find', + 'msession_get_array', + 'msession_get_data', + 'msession_get', + 'msession_inc', + 'msession_list', + 'msession_listvar', + 'msession_lock', + 'msession_plugin', + 'msession_randstr', + 'msession_set_array', + 'msession_set_data', + 'msession_set', + 'msession_timeout', + 'msession_uniq', + 'msession_unlock'), + 'Mssql': ('mssql_bind', + 'mssql_close', + 'mssql_connect', + 'mssql_data_seek', + 'mssql_execute', + 'mssql_fetch_array', + 'mssql_fetch_assoc', + 'mssql_fetch_batch', + 'mssql_fetch_field', + 'mssql_fetch_object', + 'mssql_fetch_row', + 'mssql_field_length', + 'mssql_field_name', + 'mssql_field_seek', + 'mssql_field_type', + 'mssql_free_result', + 'mssql_free_statement', + 'mssql_get_last_message', + 'mssql_guid_string', + 'mssql_init', + 'mssql_min_error_severity', + 'mssql_min_message_severity', + 'mssql_next_result', + 'mssql_num_fields', + 'mssql_num_rows', + 'mssql_pconnect', + 'mssql_query', + 'mssql_result', + 'mssql_rows_affected', + 'mssql_select_db'), + 'Multibyte String': ('mb_check_encoding', + 'mb_convert_case', + 'mb_convert_encoding', + 'mb_convert_kana', + 'mb_convert_variables', + 'mb_decode_mimeheader', + 'mb_decode_numericentity', + 'mb_detect_encoding', + 'mb_detect_order', + 'mb_encode_mimeheader', + 'mb_encode_numericentity', + 'mb_encoding_aliases', + 'mb_ereg_match', + 'mb_ereg_replace_callback', + 'mb_ereg_replace', + 'mb_ereg_search_getpos', + 'mb_ereg_search_getregs', + 'mb_ereg_search_init', + 'mb_ereg_search_pos', + 'mb_ereg_search_regs', + 'mb_ereg_search_setpos', + 'mb_ereg_search', + 'mb_ereg', + 'mb_eregi_replace', + 'mb_eregi', + 'mb_get_info', + 'mb_http_input', + 'mb_http_output', + 'mb_internal_encoding', + 'mb_language', + 'mb_list_encodings', + 'mb_output_handler', + 'mb_parse_str', + 'mb_preferred_mime_name', + 'mb_regex_encoding', + 'mb_regex_set_options', + 'mb_send_mail', + 'mb_split', + 'mb_strcut', + 'mb_strimwidth', + 'mb_stripos', + 'mb_stristr', + 'mb_strlen', + 'mb_strpos', + 'mb_strrchr', + 'mb_strrichr', + 'mb_strripos', + 'mb_strrpos', + 'mb_strstr', + 'mb_strtolower', + 'mb_strtoupper', + 'mb_strwidth', + 'mb_substitute_character', + 'mb_substr_count', + 'mb_substr'), + 'MySQL': ('mysql_affected_rows', + 'mysql_client_encoding', + 'mysql_close', + 'mysql_connect', + 'mysql_create_db', + 'mysql_data_seek', + 'mysql_db_name', + 'mysql_db_query', + 'mysql_drop_db', + 'mysql_errno', + 'mysql_error', + 'mysql_escape_string', + 'mysql_fetch_array', + 'mysql_fetch_assoc', + 'mysql_fetch_field', + 'mysql_fetch_lengths', + 'mysql_fetch_object', + 'mysql_fetch_row', + 'mysql_field_flags', + 'mysql_field_len', + 'mysql_field_name', + 'mysql_field_seek', + 'mysql_field_table', + 'mysql_field_type', + 'mysql_free_result', + 'mysql_get_client_info', + 'mysql_get_host_info', + 'mysql_get_proto_info', + 'mysql_get_server_info', + 'mysql_info', + 'mysql_insert_id', + 'mysql_list_dbs', + 'mysql_list_fields', + 'mysql_list_processes', + 'mysql_list_tables', + 'mysql_num_fields', + 'mysql_num_rows', + 'mysql_pconnect', + 'mysql_ping', + 'mysql_query', + 'mysql_real_escape_string', + 'mysql_result', + 'mysql_select_db', + 'mysql_set_charset', + 'mysql_stat', + 'mysql_tablename', + 'mysql_thread_id', + 'mysql_unbuffered_query'), + 'Mysqlnd_memcache': ('mysqlnd_memcache_get_config', 'mysqlnd_memcache_set'), + 'Mysqlnd_ms': ('mysqlnd_ms_dump_servers', + 'mysqlnd_ms_fabric_select_global', + 'mysqlnd_ms_fabric_select_shard', + 'mysqlnd_ms_get_last_gtid', + 'mysqlnd_ms_get_last_used_connection', + 'mysqlnd_ms_get_stats', + 'mysqlnd_ms_match_wild', + 'mysqlnd_ms_query_is_select', + 'mysqlnd_ms_set_qos', + 'mysqlnd_ms_set_user_pick_server'), + 'Mysqlnd_uh': ('mysqlnd_uh_convert_to_mysqlnd', + 'mysqlnd_uh_set_connection_proxy', + 'mysqlnd_uh_set_statement_proxy'), + 'NSAPI': ('nsapi_request_headers', 'nsapi_response_headers', 'nsapi_virtual'), + 'Ncurses': ('ncurses_addch', + 'ncurses_addchnstr', + 'ncurses_addchstr', + 'ncurses_addnstr', + 'ncurses_addstr', + 'ncurses_assume_default_colors', + 'ncurses_attroff', + 'ncurses_attron', + 'ncurses_attrset', + 'ncurses_baudrate', + 'ncurses_beep', + 'ncurses_bkgd', + 'ncurses_bkgdset', + 'ncurses_border', + 'ncurses_bottom_panel', + 'ncurses_can_change_color', + 'ncurses_cbreak', + 'ncurses_clear', + 'ncurses_clrtobot', + 'ncurses_clrtoeol', + 'ncurses_color_content', + 'ncurses_color_set', + 'ncurses_curs_set', + 'ncurses_def_prog_mode', + 'ncurses_def_shell_mode', + 'ncurses_define_key', + 'ncurses_del_panel', + 'ncurses_delay_output', + 'ncurses_delch', + 'ncurses_deleteln', + 'ncurses_delwin', + 'ncurses_doupdate', + 'ncurses_echo', + 'ncurses_echochar', + 'ncurses_end', + 'ncurses_erase', + 'ncurses_erasechar', + 'ncurses_filter', + 'ncurses_flash', + 'ncurses_flushinp', + 'ncurses_getch', + 'ncurses_getmaxyx', + 'ncurses_getmouse', + 'ncurses_getyx', + 'ncurses_halfdelay', + 'ncurses_has_colors', + 'ncurses_has_ic', + 'ncurses_has_il', + 'ncurses_has_key', + 'ncurses_hide_panel', + 'ncurses_hline', + 'ncurses_inch', + 'ncurses_init_color', + 'ncurses_init_pair', + 'ncurses_init', + 'ncurses_insch', + 'ncurses_insdelln', + 'ncurses_insertln', + 'ncurses_insstr', + 'ncurses_instr', + 'ncurses_isendwin', + 'ncurses_keyok', + 'ncurses_keypad', + 'ncurses_killchar', + 'ncurses_longname', + 'ncurses_meta', + 'ncurses_mouse_trafo', + 'ncurses_mouseinterval', + 'ncurses_mousemask', + 'ncurses_move_panel', + 'ncurses_move', + 'ncurses_mvaddch', + 'ncurses_mvaddchnstr', + 'ncurses_mvaddchstr', + 'ncurses_mvaddnstr', + 'ncurses_mvaddstr', + 'ncurses_mvcur', + 'ncurses_mvdelch', + 'ncurses_mvgetch', + 'ncurses_mvhline', + 'ncurses_mvinch', + 'ncurses_mvvline', + 'ncurses_mvwaddstr', + 'ncurses_napms', + 'ncurses_new_panel', + 'ncurses_newpad', + 'ncurses_newwin', + 'ncurses_nl', + 'ncurses_nocbreak', + 'ncurses_noecho', + 'ncurses_nonl', + 'ncurses_noqiflush', + 'ncurses_noraw', + 'ncurses_pair_content', + 'ncurses_panel_above', + 'ncurses_panel_below', + 'ncurses_panel_window', + 'ncurses_pnoutrefresh', + 'ncurses_prefresh', + 'ncurses_putp', + 'ncurses_qiflush', + 'ncurses_raw', + 'ncurses_refresh', + 'ncurses_replace_panel', + 'ncurses_reset_prog_mode', + 'ncurses_reset_shell_mode', + 'ncurses_resetty', + 'ncurses_savetty', + 'ncurses_scr_dump', + 'ncurses_scr_init', + 'ncurses_scr_restore', + 'ncurses_scr_set', + 'ncurses_scrl', + 'ncurses_show_panel', + 'ncurses_slk_attr', + 'ncurses_slk_attroff', + 'ncurses_slk_attron', + 'ncurses_slk_attrset', + 'ncurses_slk_clear', + 'ncurses_slk_color', + 'ncurses_slk_init', + 'ncurses_slk_noutrefresh', + 'ncurses_slk_refresh', + 'ncurses_slk_restore', + 'ncurses_slk_set', + 'ncurses_slk_touch', + 'ncurses_standend', + 'ncurses_standout', + 'ncurses_start_color', + 'ncurses_termattrs', + 'ncurses_termname', + 'ncurses_timeout', + 'ncurses_top_panel', + 'ncurses_typeahead', + 'ncurses_ungetch', + 'ncurses_ungetmouse', + 'ncurses_update_panels', + 'ncurses_use_default_colors', + 'ncurses_use_env', + 'ncurses_use_extended_names', + 'ncurses_vidattr', + 'ncurses_vline', + 'ncurses_waddch', + 'ncurses_waddstr', + 'ncurses_wattroff', + 'ncurses_wattron', + 'ncurses_wattrset', + 'ncurses_wborder', + 'ncurses_wclear', + 'ncurses_wcolor_set', + 'ncurses_werase', + 'ncurses_wgetch', + 'ncurses_whline', + 'ncurses_wmouse_trafo', + 'ncurses_wmove', + 'ncurses_wnoutrefresh', + 'ncurses_wrefresh', + 'ncurses_wstandend', + 'ncurses_wstandout', + 'ncurses_wvline'), + 'Network': ('checkdnsrr', + 'closelog', + 'define_syslog_variables', + 'dns_check_record', + 'dns_get_mx', + 'dns_get_record', + 'fsockopen', + 'gethostbyaddr', + 'gethostbyname', + 'gethostbynamel', + 'gethostname', + 'getmxrr', + 'getprotobyname', + 'getprotobynumber', + 'getservbyname', + 'getservbyport', + 'header_register_callback', + 'header_remove', + 'header', + 'headers_list', + 'headers_sent', + 'http_response_code', + 'inet_ntop', + 'inet_pton', + 'ip2long', + 'long2ip', + 'openlog', + 'pfsockopen', + 'setcookie', + 'setrawcookie', + 'socket_get_status', + 'socket_set_blocking', + 'socket_set_timeout', + 'syslog'), + 'Newt': ('newt_bell', + 'newt_button_bar', + 'newt_button', + 'newt_centered_window', + 'newt_checkbox_get_value', + 'newt_checkbox_set_flags', + 'newt_checkbox_set_value', + 'newt_checkbox_tree_add_item', + 'newt_checkbox_tree_find_item', + 'newt_checkbox_tree_get_current', + 'newt_checkbox_tree_get_entry_value', + 'newt_checkbox_tree_get_multi_selection', + 'newt_checkbox_tree_get_selection', + 'newt_checkbox_tree_multi', + 'newt_checkbox_tree_set_current', + 'newt_checkbox_tree_set_entry_value', + 'newt_checkbox_tree_set_entry', + 'newt_checkbox_tree_set_width', + 'newt_checkbox_tree', + 'newt_checkbox', + 'newt_clear_key_buffer', + 'newt_cls', + 'newt_compact_button', + 'newt_component_add_callback', + 'newt_component_takes_focus', + 'newt_create_grid', + 'newt_cursor_off', + 'newt_cursor_on', + 'newt_delay', + 'newt_draw_form', + 'newt_draw_root_text', + 'newt_entry_get_value', + 'newt_entry_set_filter', + 'newt_entry_set_flags', + 'newt_entry_set', + 'newt_entry', + 'newt_finished', + 'newt_form_add_component', + 'newt_form_add_components', + 'newt_form_add_hot_key', + 'newt_form_destroy', + 'newt_form_get_current', + 'newt_form_run', + 'newt_form_set_background', + 'newt_form_set_height', + 'newt_form_set_size', + 'newt_form_set_timer', + 'newt_form_set_width', + 'newt_form_watch_fd', + 'newt_form', + 'newt_get_screen_size', + 'newt_grid_add_components_to_form', + 'newt_grid_basic_window', + 'newt_grid_free', + 'newt_grid_get_size', + 'newt_grid_h_close_stacked', + 'newt_grid_h_stacked', + 'newt_grid_place', + 'newt_grid_set_field', + 'newt_grid_simple_window', + 'newt_grid_v_close_stacked', + 'newt_grid_v_stacked', + 'newt_grid_wrapped_window_at', + 'newt_grid_wrapped_window', + 'newt_init', + 'newt_label_set_text', + 'newt_label', + 'newt_listbox_append_entry', + 'newt_listbox_clear_selection', + 'newt_listbox_clear', + 'newt_listbox_delete_entry', + 'newt_listbox_get_current', + 'newt_listbox_get_selection', + 'newt_listbox_insert_entry', + 'newt_listbox_item_count', + 'newt_listbox_select_item', + 'newt_listbox_set_current_by_key', + 'newt_listbox_set_current', + 'newt_listbox_set_data', + 'newt_listbox_set_entry', + 'newt_listbox_set_width', + 'newt_listbox', + 'newt_listitem_get_data', + 'newt_listitem_set', + 'newt_listitem', + 'newt_open_window', + 'newt_pop_help_line', + 'newt_pop_window', + 'newt_push_help_line', + 'newt_radio_get_current', + 'newt_radiobutton', + 'newt_redraw_help_line', + 'newt_reflow_text', + 'newt_refresh', + 'newt_resize_screen', + 'newt_resume', + 'newt_run_form', + 'newt_scale_set', + 'newt_scale', + 'newt_scrollbar_set', + 'newt_set_help_callback', + 'newt_set_suspend_callback', + 'newt_suspend', + 'newt_textbox_get_num_lines', + 'newt_textbox_reflowed', + 'newt_textbox_set_height', + 'newt_textbox_set_text', + 'newt_textbox', + 'newt_vertical_scrollbar', + 'newt_wait_for_key', + 'newt_win_choice', + 'newt_win_entries', + 'newt_win_menu', + 'newt_win_message', + 'newt_win_messagev', + 'newt_win_ternary'), + 'OAuth': ('oauth_get_sbs', 'oauth_urlencode'), + 'OCI8': ('oci_bind_array_by_name', + 'oci_bind_by_name', + 'oci_cancel', + 'oci_client_version', + 'oci_close', + 'oci_commit', + 'oci_connect', + 'oci_define_by_name', + 'oci_error', + 'oci_execute', + 'oci_fetch_all', + 'oci_fetch_array', + 'oci_fetch_assoc', + 'oci_fetch_object', + 'oci_fetch_row', + 'oci_fetch', + 'oci_field_is_null', + 'oci_field_name', + 'oci_field_precision', + 'oci_field_scale', + 'oci_field_size', + 'oci_field_type_raw', + 'oci_field_type', + 'oci_free_descriptor', + 'oci_free_statement', + 'oci_get_implicit_resultset', + 'oci_internal_debug', + 'oci_lob_copy', + 'oci_lob_is_equal', + 'oci_new_collection', + 'oci_new_connect', + 'oci_new_cursor', + 'oci_new_descriptor', + 'oci_num_fields', + 'oci_num_rows', + 'oci_parse', + 'oci_password_change', + 'oci_pconnect', + 'oci_result', + 'oci_rollback', + 'oci_server_version', + 'oci_set_action', + 'oci_set_client_identifier', + 'oci_set_client_info', + 'oci_set_edition', + 'oci_set_module_name', + 'oci_set_prefetch', + 'oci_statement_type'), + 'ODBC': ('odbc_autocommit', + 'odbc_binmode', + 'odbc_close_all', + 'odbc_close', + 'odbc_columnprivileges', + 'odbc_columns', + 'odbc_commit', + 'odbc_connect', + 'odbc_cursor', + 'odbc_data_source', + 'odbc_do', + 'odbc_error', + 'odbc_errormsg', + 'odbc_exec', + 'odbc_execute', + 'odbc_fetch_array', + 'odbc_fetch_into', + 'odbc_fetch_object', + 'odbc_fetch_row', + 'odbc_field_len', + 'odbc_field_name', + 'odbc_field_num', + 'odbc_field_precision', + 'odbc_field_scale', + 'odbc_field_type', + 'odbc_foreignkeys', + 'odbc_free_result', + 'odbc_gettypeinfo', + 'odbc_longreadlen', + 'odbc_next_result', + 'odbc_num_fields', + 'odbc_num_rows', + 'odbc_pconnect', + 'odbc_prepare', + 'odbc_primarykeys', + 'odbc_procedurecolumns', + 'odbc_procedures', + 'odbc_result_all', + 'odbc_result', + 'odbc_rollback', + 'odbc_setoption', + 'odbc_specialcolumns', + 'odbc_statistics', + 'odbc_tableprivileges', + 'odbc_tables'), + 'OPcache': ('opcache_compile_file', + 'opcache_get_configuration', + 'opcache_get_status', + 'opcache_invalidate', + 'opcache_reset'), + 'Object Aggregation': ('aggregate_info', + 'aggregate_methods_by_list', + 'aggregate_methods_by_regexp', + 'aggregate_methods', + 'aggregate_properties_by_list', + 'aggregate_properties_by_regexp', + 'aggregate_properties', + 'aggregate', + 'aggregation_info', + 'deaggregate'), + 'OpenAL': ('openal_buffer_create', + 'openal_buffer_data', + 'openal_buffer_destroy', + 'openal_buffer_get', + 'openal_buffer_loadwav', + 'openal_context_create', + 'openal_context_current', + 'openal_context_destroy', + 'openal_context_process', + 'openal_context_suspend', + 'openal_device_close', + 'openal_device_open', + 'openal_listener_get', + 'openal_listener_set', + 'openal_source_create', + 'openal_source_destroy', + 'openal_source_get', + 'openal_source_pause', + 'openal_source_play', + 'openal_source_rewind', + 'openal_source_set', + 'openal_source_stop', + 'openal_stream'), + 'OpenSSL': ('openssl_cipher_iv_length', + 'openssl_csr_export_to_file', + 'openssl_csr_export', + 'openssl_csr_get_public_key', + 'openssl_csr_get_subject', + 'openssl_csr_new', + 'openssl_csr_sign', + 'openssl_decrypt', + 'openssl_dh_compute_key', + 'openssl_digest', + 'openssl_encrypt', + 'openssl_error_string', + 'openssl_free_key', + 'openssl_get_cipher_methods', + 'openssl_get_md_methods', + 'openssl_get_privatekey', + 'openssl_get_publickey', + 'openssl_open', + 'openssl_pbkdf2', + 'openssl_pkcs12_export_to_file', + 'openssl_pkcs12_export', + 'openssl_pkcs12_read', + 'openssl_pkcs7_decrypt', + 'openssl_pkcs7_encrypt', + 'openssl_pkcs7_sign', + 'openssl_pkcs7_verify', + 'openssl_pkey_export_to_file', + 'openssl_pkey_export', + 'openssl_pkey_free', + 'openssl_pkey_get_details', + 'openssl_pkey_get_private', + 'openssl_pkey_get_public', + 'openssl_pkey_new', + 'openssl_private_decrypt', + 'openssl_private_encrypt', + 'openssl_public_decrypt', + 'openssl_public_encrypt', + 'openssl_random_pseudo_bytes', + 'openssl_seal', + 'openssl_sign', + 'openssl_spki_export_challenge', + 'openssl_spki_export', + 'openssl_spki_new', + 'openssl_spki_verify', + 'openssl_verify', + 'openssl_x509_check_private_key', + 'openssl_x509_checkpurpose', + 'openssl_x509_export_to_file', + 'openssl_x509_export', + 'openssl_x509_free', + 'openssl_x509_parse', + 'openssl_x509_read'), + 'Output Control': ('flush', + 'ob_clean', + 'ob_end_clean', + 'ob_end_flush', + 'ob_flush', + 'ob_get_clean', + 'ob_get_contents', + 'ob_get_flush', + 'ob_get_length', + 'ob_get_level', + 'ob_get_status', + 'ob_gzhandler', + 'ob_implicit_flush', + 'ob_list_handlers', + 'ob_start', + 'output_add_rewrite_var', + 'output_reset_rewrite_vars'), + 'Ovrimos SQL': ('ovrimos_close', + 'ovrimos_commit', + 'ovrimos_connect', + 'ovrimos_cursor', + 'ovrimos_exec', + 'ovrimos_execute', + 'ovrimos_fetch_into', + 'ovrimos_fetch_row', + 'ovrimos_field_len', + 'ovrimos_field_name', + 'ovrimos_field_num', + 'ovrimos_field_type', + 'ovrimos_free_result', + 'ovrimos_longreadlen', + 'ovrimos_num_fields', + 'ovrimos_num_rows', + 'ovrimos_prepare', + 'ovrimos_result_all', + 'ovrimos_result', + 'ovrimos_rollback'), + 'PCNTL': ('pcntl_alarm', + 'pcntl_errno', + 'pcntl_exec', + 'pcntl_fork', + 'pcntl_get_last_error', + 'pcntl_getpriority', + 'pcntl_setpriority', + 'pcntl_signal_dispatch', + 'pcntl_signal', + 'pcntl_sigprocmask', + 'pcntl_sigtimedwait', + 'pcntl_sigwaitinfo', + 'pcntl_strerror', + 'pcntl_wait', + 'pcntl_waitpid', + 'pcntl_wexitstatus', + 'pcntl_wifexited', + 'pcntl_wifsignaled', + 'pcntl_wifstopped', + 'pcntl_wstopsig', + 'pcntl_wtermsig'), + 'PCRE': ('preg_filter', + 'preg_grep', + 'preg_last_error', + 'preg_match_all', + 'preg_match', + 'preg_quote', + 'preg_replace_callback', + 'preg_replace', + 'preg_split'), + 'PDF': ('PDF_activate_item', + 'PDF_add_annotation', + 'PDF_add_bookmark', + 'PDF_add_launchlink', + 'PDF_add_locallink', + 'PDF_add_nameddest', + 'PDF_add_note', + 'PDF_add_outline', + 'PDF_add_pdflink', + 'PDF_add_table_cell', + 'PDF_add_textflow', + 'PDF_add_thumbnail', + 'PDF_add_weblink', + 'PDF_arc', + 'PDF_arcn', + 'PDF_attach_file', + 'PDF_begin_document', + 'PDF_begin_font', + 'PDF_begin_glyph', + 'PDF_begin_item', + 'PDF_begin_layer', + 'PDF_begin_page_ext', + 'PDF_begin_page', + 'PDF_begin_pattern', + 'PDF_begin_template_ext', + 'PDF_begin_template', + 'PDF_circle', + 'PDF_clip', + 'PDF_close_image', + 'PDF_close_pdi_page', + 'PDF_close_pdi', + 'PDF_close', + 'PDF_closepath_fill_stroke', + 'PDF_closepath_stroke', + 'PDF_closepath', + 'PDF_concat', + 'PDF_continue_text', + 'PDF_create_3dview', + 'PDF_create_action', + 'PDF_create_annotation', + 'PDF_create_bookmark', + 'PDF_create_field', + 'PDF_create_fieldgroup', + 'PDF_create_gstate', + 'PDF_create_pvf', + 'PDF_create_textflow', + 'PDF_curveto', + 'PDF_define_layer', + 'PDF_delete_pvf', + 'PDF_delete_table', + 'PDF_delete_textflow', + 'PDF_delete', + 'PDF_encoding_set_char', + 'PDF_end_document', + 'PDF_end_font', + 'PDF_end_glyph', + 'PDF_end_item', + 'PDF_end_layer', + 'PDF_end_page_ext', + 'PDF_end_page', + 'PDF_end_pattern', + 'PDF_end_template', + 'PDF_endpath', + 'PDF_fill_imageblock', + 'PDF_fill_pdfblock', + 'PDF_fill_stroke', + 'PDF_fill_textblock', + 'PDF_fill', + 'PDF_findfont', + 'PDF_fit_image', + 'PDF_fit_pdi_page', + 'PDF_fit_table', + 'PDF_fit_textflow', + 'PDF_fit_textline', + 'PDF_get_apiname', + 'PDF_get_buffer', + 'PDF_get_errmsg', + 'PDF_get_errnum', + 'PDF_get_font', + 'PDF_get_fontname', + 'PDF_get_fontsize', + 'PDF_get_image_height', + 'PDF_get_image_width', + 'PDF_get_majorversion', + 'PDF_get_minorversion', + 'PDF_get_parameter', + 'PDF_get_pdi_parameter', + 'PDF_get_pdi_value', + 'PDF_get_value', + 'PDF_info_font', + 'PDF_info_matchbox', + 'PDF_info_table', + 'PDF_info_textflow', + 'PDF_info_textline', + 'PDF_initgraphics', + 'PDF_lineto', + 'PDF_load_3ddata', + 'PDF_load_font', + 'PDF_load_iccprofile', + 'PDF_load_image', + 'PDF_makespotcolor', + 'PDF_moveto', + 'PDF_new', + 'PDF_open_ccitt', + 'PDF_open_file', + 'PDF_open_gif', + 'PDF_open_image_file', + 'PDF_open_image', + 'PDF_open_jpeg', + 'PDF_open_memory_image', + 'PDF_open_pdi_document', + 'PDF_open_pdi_page', + 'PDF_open_pdi', + 'PDF_open_tiff', + 'PDF_pcos_get_number', + 'PDF_pcos_get_stream', + 'PDF_pcos_get_string', + 'PDF_place_image', + 'PDF_place_pdi_page', + 'PDF_process_pdi', + 'PDF_rect', + 'PDF_restore', + 'PDF_resume_page', + 'PDF_rotate', + 'PDF_save', + 'PDF_scale', + 'PDF_set_border_color', + 'PDF_set_border_dash', + 'PDF_set_border_style', + 'PDF_set_char_spacing', + 'PDF_set_duration', + 'PDF_set_gstate', + 'PDF_set_horiz_scaling', + 'PDF_set_info_author', + 'PDF_set_info_creator', + 'PDF_set_info_keywords', + 'PDF_set_info_subject', + 'PDF_set_info_title', + 'PDF_set_info', + 'PDF_set_layer_dependency', + 'PDF_set_leading', + 'PDF_set_parameter', + 'PDF_set_text_matrix', + 'PDF_set_text_pos', + 'PDF_set_text_rendering', + 'PDF_set_text_rise', + 'PDF_set_value', + 'PDF_set_word_spacing', + 'PDF_setcolor', + 'PDF_setdash', + 'PDF_setdashpattern', + 'PDF_setflat', + 'PDF_setfont', + 'PDF_setgray_fill', + 'PDF_setgray_stroke', + 'PDF_setgray', + 'PDF_setlinecap', + 'PDF_setlinejoin', + 'PDF_setlinewidth', + 'PDF_setmatrix', + 'PDF_setmiterlimit', + 'PDF_setpolydash', + 'PDF_setrgbcolor_fill', + 'PDF_setrgbcolor_stroke', + 'PDF_setrgbcolor', + 'PDF_shading_pattern', + 'PDF_shading', + 'PDF_shfill', + 'PDF_show_boxed', + 'PDF_show_xy', + 'PDF_show', + 'PDF_skew', + 'PDF_stringwidth', + 'PDF_stroke', + 'PDF_suspend_page', + 'PDF_translate', + 'PDF_utf16_to_utf8', + 'PDF_utf32_to_utf16', + 'PDF_utf8_to_utf16'), + 'PHP Options/Info': ('assert_options', + 'assert', + 'cli_get_process_title', + 'cli_set_process_title', + 'dl', + 'extension_loaded', + 'gc_collect_cycles', + 'gc_disable', + 'gc_enable', + 'gc_enabled', + 'get_cfg_var', + 'get_current_user', + 'get_defined_constants', + 'get_extension_funcs', + 'get_include_path', + 'get_included_files', + 'get_loaded_extensions', + 'get_magic_quotes_gpc', + 'get_magic_quotes_runtime', + 'get_required_files', + 'getenv', + 'getlastmod', + 'getmygid', + 'getmyinode', + 'getmypid', + 'getmyuid', + 'getopt', + 'getrusage', + 'ini_alter', + 'ini_get_all', + 'ini_get', + 'ini_restore', + 'ini_set', + 'magic_quotes_runtime', + 'memory_get_peak_usage', + 'memory_get_usage', + 'php_ini_loaded_file', + 'php_ini_scanned_files', + 'php_logo_guid', + 'php_sapi_name', + 'php_uname', + 'phpcredits', + 'phpinfo', + 'phpversion', + 'putenv', + 'restore_include_path', + 'set_include_path', + 'set_magic_quotes_runtime', + 'set_time_limit', + 'sys_get_temp_dir', + 'version_compare', + 'zend_logo_guid', + 'zend_thread_id', + 'zend_version'), + 'POSIX': ('posix_access', + 'posix_ctermid', + 'posix_errno', + 'posix_get_last_error', + 'posix_getcwd', + 'posix_getegid', + 'posix_geteuid', + 'posix_getgid', + 'posix_getgrgid', + 'posix_getgrnam', + 'posix_getgroups', + 'posix_getlogin', + 'posix_getpgid', + 'posix_getpgrp', + 'posix_getpid', + 'posix_getppid', + 'posix_getpwnam', + 'posix_getpwuid', + 'posix_getrlimit', + 'posix_getsid', + 'posix_getuid', + 'posix_initgroups', + 'posix_isatty', + 'posix_kill', + 'posix_mkfifo', + 'posix_mknod', + 'posix_setegid', + 'posix_seteuid', + 'posix_setgid', + 'posix_setpgid', + 'posix_setsid', + 'posix_setuid', + 'posix_strerror', + 'posix_times', + 'posix_ttyname', + 'posix_uname'), + 'POSIX Regex': ('ereg_replace', + 'ereg', + 'eregi_replace', + 'eregi', + 'split', + 'spliti', + 'sql_regcase'), + 'PS': ('ps_add_bookmark', + 'ps_add_launchlink', + 'ps_add_locallink', + 'ps_add_note', + 'ps_add_pdflink', + 'ps_add_weblink', + 'ps_arc', + 'ps_arcn', + 'ps_begin_page', + 'ps_begin_pattern', + 'ps_begin_template', + 'ps_circle', + 'ps_clip', + 'ps_close_image', + 'ps_close', + 'ps_closepath_stroke', + 'ps_closepath', + 'ps_continue_text', + 'ps_curveto', + 'ps_delete', + 'ps_end_page', + 'ps_end_pattern', + 'ps_end_template', + 'ps_fill_stroke', + 'ps_fill', + 'ps_findfont', + 'ps_get_buffer', + 'ps_get_parameter', + 'ps_get_value', + 'ps_hyphenate', + 'ps_include_file', + 'ps_lineto', + 'ps_makespotcolor', + 'ps_moveto', + 'ps_new', + 'ps_open_file', + 'ps_open_image_file', + 'ps_open_image', + 'ps_open_memory_image', + 'ps_place_image', + 'ps_rect', + 'ps_restore', + 'ps_rotate', + 'ps_save', + 'ps_scale', + 'ps_set_border_color', + 'ps_set_border_dash', + 'ps_set_border_style', + 'ps_set_info', + 'ps_set_parameter', + 'ps_set_text_pos', + 'ps_set_value', + 'ps_setcolor', + 'ps_setdash', + 'ps_setflat', + 'ps_setfont', + 'ps_setgray', + 'ps_setlinecap', + 'ps_setlinejoin', + 'ps_setlinewidth', + 'ps_setmiterlimit', + 'ps_setoverprintmode', + 'ps_setpolydash', + 'ps_shading_pattern', + 'ps_shading', + 'ps_shfill', + 'ps_show_boxed', + 'ps_show_xy2', + 'ps_show_xy', + 'ps_show2', + 'ps_show', + 'ps_string_geometry', + 'ps_stringwidth', + 'ps_stroke', + 'ps_symbol_name', + 'ps_symbol_width', + 'ps_symbol', + 'ps_translate'), + 'Paradox': ('px_close', + 'px_create_fp', + 'px_date2string', + 'px_delete_record', + 'px_delete', + 'px_get_field', + 'px_get_info', + 'px_get_parameter', + 'px_get_record', + 'px_get_schema', + 'px_get_value', + 'px_insert_record', + 'px_new', + 'px_numfields', + 'px_numrecords', + 'px_open_fp', + 'px_put_record', + 'px_retrieve_record', + 'px_set_blob_file', + 'px_set_parameter', + 'px_set_tablename', + 'px_set_targetencoding', + 'px_set_value', + 'px_timestamp2string', + 'px_update_record'), + 'Parsekit': ('parsekit_compile_file', + 'parsekit_compile_string', + 'parsekit_func_arginfo'), + 'Password Hashing': ('password_get_info', + 'password_hash', + 'password_needs_rehash', + 'password_verify'), + 'PostgreSQL': ('pg_affected_rows', + 'pg_cancel_query', + 'pg_client_encoding', + 'pg_close', + 'pg_connect', + 'pg_connection_busy', + 'pg_connection_reset', + 'pg_connection_status', + 'pg_convert', + 'pg_copy_from', + 'pg_copy_to', + 'pg_dbname', + 'pg_delete', + 'pg_end_copy', + 'pg_escape_bytea', + 'pg_escape_identifier', + 'pg_escape_literal', + 'pg_escape_string', + 'pg_execute', + 'pg_fetch_all_columns', + 'pg_fetch_all', + 'pg_fetch_array', + 'pg_fetch_assoc', + 'pg_fetch_object', + 'pg_fetch_result', + 'pg_fetch_row', + 'pg_field_is_null', + 'pg_field_name', + 'pg_field_num', + 'pg_field_prtlen', + 'pg_field_size', + 'pg_field_table', + 'pg_field_type_oid', + 'pg_field_type', + 'pg_free_result', + 'pg_get_notify', + 'pg_get_pid', + 'pg_get_result', + 'pg_host', + 'pg_insert', + 'pg_last_error', + 'pg_last_notice', + 'pg_last_oid', + 'pg_lo_close', + 'pg_lo_create', + 'pg_lo_export', + 'pg_lo_import', + 'pg_lo_open', + 'pg_lo_read_all', + 'pg_lo_read', + 'pg_lo_seek', + 'pg_lo_tell', + 'pg_lo_truncate', + 'pg_lo_unlink', + 'pg_lo_write', + 'pg_meta_data', + 'pg_num_fields', + 'pg_num_rows', + 'pg_options', + 'pg_parameter_status', + 'pg_pconnect', + 'pg_ping', + 'pg_port', + 'pg_prepare', + 'pg_put_line', + 'pg_query_params', + 'pg_query', + 'pg_result_error_field', + 'pg_result_error', + 'pg_result_seek', + 'pg_result_status', + 'pg_select', + 'pg_send_execute', + 'pg_send_prepare', + 'pg_send_query_params', + 'pg_send_query', + 'pg_set_client_encoding', + 'pg_set_error_verbosity', + 'pg_trace', + 'pg_transaction_status', + 'pg_tty', + 'pg_unescape_bytea', + 'pg_untrace', + 'pg_update', + 'pg_version'), + 'Printer': ('printer_abort', + 'printer_close', + 'printer_create_brush', + 'printer_create_dc', + 'printer_create_font', + 'printer_create_pen', + 'printer_delete_brush', + 'printer_delete_dc', + 'printer_delete_font', + 'printer_delete_pen', + 'printer_draw_bmp', + 'printer_draw_chord', + 'printer_draw_elipse', + 'printer_draw_line', + 'printer_draw_pie', + 'printer_draw_rectangle', + 'printer_draw_roundrect', + 'printer_draw_text', + 'printer_end_doc', + 'printer_end_page', + 'printer_get_option', + 'printer_list', + 'printer_logical_fontheight', + 'printer_open', + 'printer_select_brush', + 'printer_select_font', + 'printer_select_pen', + 'printer_set_option', + 'printer_start_doc', + 'printer_start_page', + 'printer_write'), + 'Proctitle': ('setproctitle', 'setthreadtitle'), + 'Program execution': ('escapeshellarg', + 'escapeshellcmd', + 'exec', + 'passthru', + 'proc_close', + 'proc_get_status', + 'proc_nice', + 'proc_open', + 'proc_terminate', + 'shell_exec', + 'system'), + 'Pspell': ('pspell_add_to_personal', + 'pspell_add_to_session', + 'pspell_check', + 'pspell_clear_session', + 'pspell_config_create', + 'pspell_config_data_dir', + 'pspell_config_dict_dir', + 'pspell_config_ignore', + 'pspell_config_mode', + 'pspell_config_personal', + 'pspell_config_repl', + 'pspell_config_runtogether', + 'pspell_config_save_repl', + 'pspell_new_config', + 'pspell_new_personal', + 'pspell_new', + 'pspell_save_wordlist', + 'pspell_store_replacement', + 'pspell_suggest'), + 'RPM Reader': ('rpm_close', + 'rpm_get_tag', + 'rpm_is_valid', + 'rpm_open', + 'rpm_version'), + 'RRD': ('rrd_create', + 'rrd_error', + 'rrd_fetch', + 'rrd_first', + 'rrd_graph', + 'rrd_info', + 'rrd_last', + 'rrd_lastupdate', + 'rrd_restore', + 'rrd_tune', + 'rrd_update', + 'rrd_version', + 'rrd_xport', + 'rrdc_disconnect'), + 'Radius': ('radius_acct_open', + 'radius_add_server', + 'radius_auth_open', + 'radius_close', + 'radius_config', + 'radius_create_request', + 'radius_cvt_addr', + 'radius_cvt_int', + 'radius_cvt_string', + 'radius_demangle_mppe_key', + 'radius_demangle', + 'radius_get_attr', + 'radius_get_tagged_attr_data', + 'radius_get_tagged_attr_tag', + 'radius_get_vendor_attr', + 'radius_put_addr', + 'radius_put_attr', + 'radius_put_int', + 'radius_put_string', + 'radius_put_vendor_addr', + 'radius_put_vendor_attr', + 'radius_put_vendor_int', + 'radius_put_vendor_string', + 'radius_request_authenticator', + 'radius_salt_encrypt_attr', + 'radius_send_request', + 'radius_server_secret', + 'radius_strerror'), + 'Rar': ('rar_wrapper_cache_stats',), + 'Readline': ('readline_add_history', + 'readline_callback_handler_install', + 'readline_callback_handler_remove', + 'readline_callback_read_char', + 'readline_clear_history', + 'readline_completion_function', + 'readline_info', + 'readline_list_history', + 'readline_on_new_line', + 'readline_read_history', + 'readline_redisplay', + 'readline_write_history', + 'readline'), + 'Recode': ('recode_file', 'recode_string', 'recode'), + 'SNMP': ('snmp_get_quick_print', + 'snmp_get_valueretrieval', + 'snmp_read_mib', + 'snmp_set_enum_print', + 'snmp_set_oid_numeric_print', + 'snmp_set_oid_output_format', + 'snmp_set_quick_print', + 'snmp_set_valueretrieval', + 'snmp2_get', + 'snmp2_getnext', + 'snmp2_real_walk', + 'snmp2_set', + 'snmp2_walk', + 'snmp3_get', + 'snmp3_getnext', + 'snmp3_real_walk', + 'snmp3_set', + 'snmp3_walk', + 'snmpget', + 'snmpgetnext', + 'snmprealwalk', + 'snmpset', + 'snmpwalk', + 'snmpwalkoid'), + 'SOAP': ('is_soap_fault', 'use_soap_error_handler'), + 'SPL': ('class_implements', + 'class_parents', + 'class_uses', + 'iterator_apply', + 'iterator_count', + 'iterator_to_array', + 'spl_autoload_call', + 'spl_autoload_extensions', + 'spl_autoload_functions', + 'spl_autoload_register', + 'spl_autoload_unregister', + 'spl_autoload', + 'spl_classes', + 'spl_object_hash'), + 'SPPLUS': ('calcul_hmac', 'calculhmac', 'nthmac', 'signeurlpaiement'), + 'SQLSRV': ('sqlsrv_begin_transaction', + 'sqlsrv_cancel', + 'sqlsrv_client_info', + 'sqlsrv_close', + 'sqlsrv_commit', + 'sqlsrv_configure', + 'sqlsrv_connect', + 'sqlsrv_errors', + 'sqlsrv_execute', + 'sqlsrv_fetch_array', + 'sqlsrv_fetch_object', + 'sqlsrv_fetch', + 'sqlsrv_field_metadata', + 'sqlsrv_free_stmt', + 'sqlsrv_get_config', + 'sqlsrv_get_field', + 'sqlsrv_has_rows', + 'sqlsrv_next_result', + 'sqlsrv_num_fields', + 'sqlsrv_num_rows', + 'sqlsrv_prepare', + 'sqlsrv_query', + 'sqlsrv_rollback', + 'sqlsrv_rows_affected', + 'sqlsrv_send_stream_data', + 'sqlsrv_server_info'), + 'SQLite': ('sqlite_array_query', + 'sqlite_busy_timeout', + 'sqlite_changes', + 'sqlite_close', + 'sqlite_column', + 'sqlite_create_aggregate', + 'sqlite_create_function', + 'sqlite_current', + 'sqlite_error_string', + 'sqlite_escape_string', + 'sqlite_exec', + 'sqlite_factory', + 'sqlite_fetch_all', + 'sqlite_fetch_array', + 'sqlite_fetch_column_types', + 'sqlite_fetch_object', + 'sqlite_fetch_single', + 'sqlite_fetch_string', + 'sqlite_field_name', + 'sqlite_has_more', + 'sqlite_has_prev', + 'sqlite_key', + 'sqlite_last_error', + 'sqlite_last_insert_rowid', + 'sqlite_libencoding', + 'sqlite_libversion', + 'sqlite_next', + 'sqlite_num_fields', + 'sqlite_num_rows', + 'sqlite_open', + 'sqlite_popen', + 'sqlite_prev', + 'sqlite_query', + 'sqlite_rewind', + 'sqlite_seek', + 'sqlite_single_query', + 'sqlite_udf_decode_binary', + 'sqlite_udf_encode_binary', + 'sqlite_unbuffered_query', + 'sqlite_valid'), + 'SSH2': ('ssh2_auth_agent', + 'ssh2_auth_hostbased_file', + 'ssh2_auth_none', + 'ssh2_auth_password', + 'ssh2_auth_pubkey_file', + 'ssh2_connect', + 'ssh2_exec', + 'ssh2_fetch_stream', + 'ssh2_fingerprint', + 'ssh2_methods_negotiated', + 'ssh2_publickey_add', + 'ssh2_publickey_init', + 'ssh2_publickey_list', + 'ssh2_publickey_remove', + 'ssh2_scp_recv', + 'ssh2_scp_send', + 'ssh2_sftp_chmod', + 'ssh2_sftp_lstat', + 'ssh2_sftp_mkdir', + 'ssh2_sftp_readlink', + 'ssh2_sftp_realpath', + 'ssh2_sftp_rename', + 'ssh2_sftp_rmdir', + 'ssh2_sftp_stat', + 'ssh2_sftp_symlink', + 'ssh2_sftp_unlink', + 'ssh2_sftp', + 'ssh2_shell', + 'ssh2_tunnel'), + 'SVN': ('svn_add', + 'svn_auth_get_parameter', + 'svn_auth_set_parameter', + 'svn_blame', + 'svn_cat', + 'svn_checkout', + 'svn_cleanup', + 'svn_client_version', + 'svn_commit', + 'svn_delete', + 'svn_diff', + 'svn_export', + 'svn_fs_abort_txn', + 'svn_fs_apply_text', + 'svn_fs_begin_txn2', + 'svn_fs_change_node_prop', + 'svn_fs_check_path', + 'svn_fs_contents_changed', + 'svn_fs_copy', + 'svn_fs_delete', + 'svn_fs_dir_entries', + 'svn_fs_file_contents', + 'svn_fs_file_length', + 'svn_fs_is_dir', + 'svn_fs_is_file', + 'svn_fs_make_dir', + 'svn_fs_make_file', + 'svn_fs_node_created_rev', + 'svn_fs_node_prop', + 'svn_fs_props_changed', + 'svn_fs_revision_prop', + 'svn_fs_revision_root', + 'svn_fs_txn_root', + 'svn_fs_youngest_rev', + 'svn_import', + 'svn_log', + 'svn_ls', + 'svn_mkdir', + 'svn_repos_create', + 'svn_repos_fs_begin_txn_for_commit', + 'svn_repos_fs_commit_txn', + 'svn_repos_fs', + 'svn_repos_hotcopy', + 'svn_repos_open', + 'svn_repos_recover', + 'svn_revert', + 'svn_status', + 'svn_update'), + 'SWF': ('swf_actiongeturl', + 'swf_actiongotoframe', + 'swf_actiongotolabel', + 'swf_actionnextframe', + 'swf_actionplay', + 'swf_actionprevframe', + 'swf_actionsettarget', + 'swf_actionstop', + 'swf_actiontogglequality', + 'swf_actionwaitforframe', + 'swf_addbuttonrecord', + 'swf_addcolor', + 'swf_closefile', + 'swf_definebitmap', + 'swf_definefont', + 'swf_defineline', + 'swf_definepoly', + 'swf_definerect', + 'swf_definetext', + 'swf_endbutton', + 'swf_enddoaction', + 'swf_endshape', + 'swf_endsymbol', + 'swf_fontsize', + 'swf_fontslant', + 'swf_fonttracking', + 'swf_getbitmapinfo', + 'swf_getfontinfo', + 'swf_getframe', + 'swf_labelframe', + 'swf_lookat', + 'swf_modifyobject', + 'swf_mulcolor', + 'swf_nextid', + 'swf_oncondition', + 'swf_openfile', + 'swf_ortho2', + 'swf_ortho', + 'swf_perspective', + 'swf_placeobject', + 'swf_polarview', + 'swf_popmatrix', + 'swf_posround', + 'swf_pushmatrix', + 'swf_removeobject', + 'swf_rotate', + 'swf_scale', + 'swf_setfont', + 'swf_setframe', + 'swf_shapearc', + 'swf_shapecurveto3', + 'swf_shapecurveto', + 'swf_shapefillbitmapclip', + 'swf_shapefillbitmaptile', + 'swf_shapefilloff', + 'swf_shapefillsolid', + 'swf_shapelinesolid', + 'swf_shapelineto', + 'swf_shapemoveto', + 'swf_showframe', + 'swf_startbutton', + 'swf_startdoaction', + 'swf_startshape', + 'swf_startsymbol', + 'swf_textwidth', + 'swf_translate', + 'swf_viewport'), + 'Semaphore': ('ftok', + 'msg_get_queue', + 'msg_queue_exists', + 'msg_receive', + 'msg_remove_queue', + 'msg_send', + 'msg_set_queue', + 'msg_stat_queue', + 'sem_acquire', + 'sem_get', + 'sem_release', + 'sem_remove', + 'shm_attach', + 'shm_detach', + 'shm_get_var', + 'shm_has_var', + 'shm_put_var', + 'shm_remove_var', + 'shm_remove'), + 'Session': ('session_cache_expire', + 'session_cache_limiter', + 'session_commit', + 'session_decode', + 'session_destroy', + 'session_encode', + 'session_get_cookie_params', + 'session_id', + 'session_is_registered', + 'session_module_name', + 'session_name', + 'session_regenerate_id', + 'session_register_shutdown', + 'session_register', + 'session_save_path', + 'session_set_cookie_params', + 'session_set_save_handler', + 'session_start', + 'session_status', + 'session_unregister', + 'session_unset', + 'session_write_close'), + 'Session PgSQL': ('session_pgsql_add_error', + 'session_pgsql_get_error', + 'session_pgsql_get_field', + 'session_pgsql_reset', + 'session_pgsql_set_field', + 'session_pgsql_status'), + 'Shared Memory': ('shmop_close', + 'shmop_delete', + 'shmop_open', + 'shmop_read', + 'shmop_size', + 'shmop_write'), + 'SimpleXML': ('simplexml_import_dom', + 'simplexml_load_file', + 'simplexml_load_string'), + 'Socket': ('socket_accept', + 'socket_bind', + 'socket_clear_error', + 'socket_close', + 'socket_cmsg_space', + 'socket_connect', + 'socket_create_listen', + 'socket_create_pair', + 'socket_create', + 'socket_get_option', + 'socket_getpeername', + 'socket_getsockname', + 'socket_import_stream', + 'socket_last_error', + 'socket_listen', + 'socket_read', + 'socket_recv', + 'socket_recvfrom', + 'socket_recvmsg', + 'socket_select', + 'socket_send', + 'socket_sendmsg', + 'socket_sendto', + 'socket_set_block', + 'socket_set_nonblock', + 'socket_set_option', + 'socket_shutdown', + 'socket_strerror', + 'socket_write'), + 'Solr': ('solr_get_version',), + 'Statistic': ('stats_absolute_deviation', + 'stats_cdf_beta', + 'stats_cdf_binomial', + 'stats_cdf_cauchy', + 'stats_cdf_chisquare', + 'stats_cdf_exponential', + 'stats_cdf_f', + 'stats_cdf_gamma', + 'stats_cdf_laplace', + 'stats_cdf_logistic', + 'stats_cdf_negative_binomial', + 'stats_cdf_noncentral_chisquare', + 'stats_cdf_noncentral_f', + 'stats_cdf_poisson', + 'stats_cdf_t', + 'stats_cdf_uniform', + 'stats_cdf_weibull', + 'stats_covariance', + 'stats_den_uniform', + 'stats_dens_beta', + 'stats_dens_cauchy', + 'stats_dens_chisquare', + 'stats_dens_exponential', + 'stats_dens_f', + 'stats_dens_gamma', + 'stats_dens_laplace', + 'stats_dens_logistic', + 'stats_dens_negative_binomial', + 'stats_dens_normal', + 'stats_dens_pmf_binomial', + 'stats_dens_pmf_hypergeometric', + 'stats_dens_pmf_poisson', + 'stats_dens_t', + 'stats_dens_weibull', + 'stats_harmonic_mean', + 'stats_kurtosis', + 'stats_rand_gen_beta', + 'stats_rand_gen_chisquare', + 'stats_rand_gen_exponential', + 'stats_rand_gen_f', + 'stats_rand_gen_funiform', + 'stats_rand_gen_gamma', + 'stats_rand_gen_ibinomial_negative', + 'stats_rand_gen_ibinomial', + 'stats_rand_gen_int', + 'stats_rand_gen_ipoisson', + 'stats_rand_gen_iuniform', + 'stats_rand_gen_noncenral_chisquare', + 'stats_rand_gen_noncentral_f', + 'stats_rand_gen_noncentral_t', + 'stats_rand_gen_normal', + 'stats_rand_gen_t', + 'stats_rand_get_seeds', + 'stats_rand_phrase_to_seeds', + 'stats_rand_ranf', + 'stats_rand_setall', + 'stats_skew', + 'stats_standard_deviation', + 'stats_stat_binomial_coef', + 'stats_stat_correlation', + 'stats_stat_gennch', + 'stats_stat_independent_t', + 'stats_stat_innerproduct', + 'stats_stat_noncentral_t', + 'stats_stat_paired_t', + 'stats_stat_percentile', + 'stats_stat_powersum', + 'stats_variance'), + 'Stomp': ('stomp_connect_error', 'stomp_version'), + 'Stream': ('set_socket_blocking', + 'stream_bucket_append', + 'stream_bucket_make_writeable', + 'stream_bucket_new', + 'stream_bucket_prepend', + 'stream_context_create', + 'stream_context_get_default', + 'stream_context_get_options', + 'stream_context_get_params', + 'stream_context_set_default', + 'stream_context_set_option', + 'stream_context_set_params', + 'stream_copy_to_stream', + 'stream_encoding', + 'stream_filter_append', + 'stream_filter_prepend', + 'stream_filter_register', + 'stream_filter_remove', + 'stream_get_contents', + 'stream_get_filters', + 'stream_get_line', + 'stream_get_meta_data', + 'stream_get_transports', + 'stream_get_wrappers', + 'stream_is_local', + 'stream_notification_callback', + 'stream_register_wrapper', + 'stream_resolve_include_path', + 'stream_select', + 'stream_set_blocking', + 'stream_set_chunk_size', + 'stream_set_read_buffer', + 'stream_set_timeout', + 'stream_set_write_buffer', + 'stream_socket_accept', + 'stream_socket_client', + 'stream_socket_enable_crypto', + 'stream_socket_get_name', + 'stream_socket_pair', + 'stream_socket_recvfrom', + 'stream_socket_sendto', + 'stream_socket_server', + 'stream_socket_shutdown', + 'stream_supports_lock', + 'stream_wrapper_register', + 'stream_wrapper_restore', + 'stream_wrapper_unregister'), + 'String': ('addcslashes', + 'addslashes', + 'bin2hex', + 'chop', + 'chr', + 'chunk_split', + 'convert_cyr_string', + 'convert_uudecode', + 'convert_uuencode', + 'count_chars', + 'crc32', + 'crypt', + 'echo', + 'explode', + 'fprintf', + 'get_html_translation_table', + 'hebrev', + 'hebrevc', + 'hex2bin', + 'html_entity_decode', + 'htmlentities', + 'htmlspecialchars_decode', + 'htmlspecialchars', + 'implode', + 'join', + 'lcfirst', + 'levenshtein', + 'localeconv', + 'ltrim', + 'md5_file', + 'md5', + 'metaphone', + 'money_format', + 'nl_langinfo', + 'nl2br', + 'number_format', + 'ord', + 'parse_str', + 'print', + 'printf', + 'quoted_printable_decode', + 'quoted_printable_encode', + 'quotemeta', + 'rtrim', + 'setlocale', + 'sha1_file', + 'sha1', + 'similar_text', + 'soundex', + 'sprintf', + 'sscanf', + 'str_getcsv', + 'str_ireplace', + 'str_pad', + 'str_repeat', + 'str_replace', + 'str_rot13', + 'str_shuffle', + 'str_split', + 'str_word_count', + 'strcasecmp', + 'strchr', + 'strcmp', + 'strcoll', + 'strcspn', + 'strip_tags', + 'stripcslashes', + 'stripos', + 'stripslashes', + 'stristr', + 'strlen', + 'strnatcasecmp', + 'strnatcmp', + 'strncasecmp', + 'strncmp', + 'strpbrk', + 'strpos', + 'strrchr', + 'strrev', + 'strripos', + 'strrpos', + 'strspn', + 'strstr', + 'strtok', + 'strtolower', + 'strtoupper', + 'strtr', + 'substr_compare', + 'substr_count', + 'substr_replace', + 'substr', + 'trim', + 'ucfirst', + 'ucwords', + 'vfprintf', + 'vprintf', + 'vsprintf', + 'wordwrap'), + 'Sybase': ('sybase_affected_rows', + 'sybase_close', + 'sybase_connect', + 'sybase_data_seek', + 'sybase_deadlock_retry_count', + 'sybase_fetch_array', + 'sybase_fetch_assoc', + 'sybase_fetch_field', + 'sybase_fetch_object', + 'sybase_fetch_row', + 'sybase_field_seek', + 'sybase_free_result', + 'sybase_get_last_message', + 'sybase_min_client_severity', + 'sybase_min_error_severity', + 'sybase_min_message_severity', + 'sybase_min_server_severity', + 'sybase_num_fields', + 'sybase_num_rows', + 'sybase_pconnect', + 'sybase_query', + 'sybase_result', + 'sybase_select_db', + 'sybase_set_message_handler', + 'sybase_unbuffered_query'), + 'TCP': ('tcpwrap_check',), + 'Taint': ('is_tainted', 'taint', 'untaint'), + 'Tidy': ('ob_tidyhandler', + 'tidy_access_count', + 'tidy_config_count', + 'tidy_error_count', + 'tidy_get_output', + 'tidy_load_config', + 'tidy_reset_config', + 'tidy_save_config', + 'tidy_set_encoding', + 'tidy_setopt', + 'tidy_warning_count'), + 'Tokenizer': ('token_get_all', 'token_name'), + 'Trader': ('trader_acos', + 'trader_ad', + 'trader_add', + 'trader_adosc', + 'trader_adx', + 'trader_adxr', + 'trader_apo', + 'trader_aroon', + 'trader_aroonosc', + 'trader_asin', + 'trader_atan', + 'trader_atr', + 'trader_avgprice', + 'trader_bbands', + 'trader_beta', + 'trader_bop', + 'trader_cci', + 'trader_cdl2crows', + 'trader_cdl3blackcrows', + 'trader_cdl3inside', + 'trader_cdl3linestrike', + 'trader_cdl3outside', + 'trader_cdl3starsinsouth', + 'trader_cdl3whitesoldiers', + 'trader_cdlabandonedbaby', + 'trader_cdladvanceblock', + 'trader_cdlbelthold', + 'trader_cdlbreakaway', + 'trader_cdlclosingmarubozu', + 'trader_cdlconcealbabyswall', + 'trader_cdlcounterattack', + 'trader_cdldarkcloudcover', + 'trader_cdldoji', + 'trader_cdldojistar', + 'trader_cdldragonflydoji', + 'trader_cdlengulfing', + 'trader_cdleveningdojistar', + 'trader_cdleveningstar', + 'trader_cdlgapsidesidewhite', + 'trader_cdlgravestonedoji', + 'trader_cdlhammer', + 'trader_cdlhangingman', + 'trader_cdlharami', + 'trader_cdlharamicross', + 'trader_cdlhighwave', + 'trader_cdlhikkake', + 'trader_cdlhikkakemod', + 'trader_cdlhomingpigeon', + 'trader_cdlidentical3crows', + 'trader_cdlinneck', + 'trader_cdlinvertedhammer', + 'trader_cdlkicking', + 'trader_cdlkickingbylength', + 'trader_cdlladderbottom', + 'trader_cdllongleggeddoji', + 'trader_cdllongline', + 'trader_cdlmarubozu', + 'trader_cdlmatchinglow', + 'trader_cdlmathold', + 'trader_cdlmorningdojistar', + 'trader_cdlmorningstar', + 'trader_cdlonneck', + 'trader_cdlpiercing', + 'trader_cdlrickshawman', + 'trader_cdlrisefall3methods', + 'trader_cdlseparatinglines', + 'trader_cdlshootingstar', + 'trader_cdlshortline', + 'trader_cdlspinningtop', + 'trader_cdlstalledpattern', + 'trader_cdlsticksandwich', + 'trader_cdltakuri', + 'trader_cdltasukigap', + 'trader_cdlthrusting', + 'trader_cdltristar', + 'trader_cdlunique3river', + 'trader_cdlupsidegap2crows', + 'trader_cdlxsidegap3methods', + 'trader_ceil', + 'trader_cmo', + 'trader_correl', + 'trader_cos', + 'trader_cosh', + 'trader_dema', + 'trader_div', + 'trader_dx', + 'trader_ema', + 'trader_errno', + 'trader_exp', + 'trader_floor', + 'trader_get_compat', + 'trader_get_unstable_period', + 'trader_ht_dcperiod', + 'trader_ht_dcphase', + 'trader_ht_phasor', + 'trader_ht_sine', + 'trader_ht_trendline', + 'trader_ht_trendmode', + 'trader_kama', + 'trader_linearreg_angle', + 'trader_linearreg_intercept', + 'trader_linearreg_slope', + 'trader_linearreg', + 'trader_ln', + 'trader_log10', + 'trader_ma', + 'trader_macd', + 'trader_macdext', + 'trader_macdfix', + 'trader_mama', + 'trader_mavp', + 'trader_max', + 'trader_maxindex', + 'trader_medprice', + 'trader_mfi', + 'trader_midpoint', + 'trader_midprice', + 'trader_min', + 'trader_minindex', + 'trader_minmax', + 'trader_minmaxindex', + 'trader_minus_di', + 'trader_minus_dm', + 'trader_mom', + 'trader_mult', + 'trader_natr', + 'trader_obv', + 'trader_plus_di', + 'trader_plus_dm', + 'trader_ppo', + 'trader_roc', + 'trader_rocp', + 'trader_rocr100', + 'trader_rocr', + 'trader_rsi', + 'trader_sar', + 'trader_sarext', + 'trader_set_compat', + 'trader_set_unstable_period', + 'trader_sin', + 'trader_sinh', + 'trader_sma', + 'trader_sqrt', + 'trader_stddev', + 'trader_stoch', + 'trader_stochf', + 'trader_stochrsi', + 'trader_sub', + 'trader_sum', + 'trader_t3', + 'trader_tan', + 'trader_tanh', + 'trader_tema', + 'trader_trange', + 'trader_trima', + 'trader_trix', + 'trader_tsf', + 'trader_typprice', + 'trader_ultosc', + 'trader_var', + 'trader_wclprice', + 'trader_willr', + 'trader_wma'), + 'URL': ('base64_decode', + 'base64_encode', + 'get_headers', + 'get_meta_tags', + 'http_build_query', + 'parse_url', + 'rawurldecode', + 'rawurlencode', + 'urldecode', + 'urlencode'), + 'Uopz': ('uopz_backup', + 'uopz_compose', + 'uopz_copy', + 'uopz_delete', + 'uopz_extend', + 'uopz_flags', + 'uopz_function', + 'uopz_implement', + 'uopz_overload', + 'uopz_redefine', + 'uopz_rename', + 'uopz_restore', + 'uopz_undefine'), + 'Variable handling': ('boolval', + 'debug_zval_dump', + 'doubleval', + 'empty', + 'floatval', + 'get_defined_vars', + 'get_resource_type', + 'gettype', + 'import_request_variables', + 'intval', + 'is_array', + 'is_bool', + 'is_callable', + 'is_double', + 'is_float', + 'is_int', + 'is_integer', + 'is_long', + 'is_null', + 'is_numeric', + 'is_object', + 'is_real', + 'is_resource', + 'is_scalar', + 'is_string', + 'isset', + 'print_r', + 'serialize', + 'settype', + 'strval', + 'unserialize', + 'unset', + 'var_dump', + 'var_export'), + 'W32api': ('w32api_deftype', + 'w32api_init_dtype', + 'w32api_invoke_function', + 'w32api_register_function', + 'w32api_set_call_method'), + 'WDDX': ('wddx_add_vars', + 'wddx_deserialize', + 'wddx_packet_end', + 'wddx_packet_start', + 'wddx_serialize_value', + 'wddx_serialize_vars'), + 'WinCache': ('wincache_fcache_fileinfo', + 'wincache_fcache_meminfo', + 'wincache_lock', + 'wincache_ocache_fileinfo', + 'wincache_ocache_meminfo', + 'wincache_refresh_if_changed', + 'wincache_rplist_fileinfo', + 'wincache_rplist_meminfo', + 'wincache_scache_info', + 'wincache_scache_meminfo', + 'wincache_ucache_add', + 'wincache_ucache_cas', + 'wincache_ucache_clear', + 'wincache_ucache_dec', + 'wincache_ucache_delete', + 'wincache_ucache_exists', + 'wincache_ucache_get', + 'wincache_ucache_inc', + 'wincache_ucache_info', + 'wincache_ucache_meminfo', + 'wincache_ucache_set', + 'wincache_unlock'), + 'XML Parser': ('utf8_decode', + 'utf8_encode', + 'xml_error_string', + 'xml_get_current_byte_index', + 'xml_get_current_column_number', + 'xml_get_current_line_number', + 'xml_get_error_code', + 'xml_parse_into_struct', + 'xml_parse', + 'xml_parser_create_ns', + 'xml_parser_create', + 'xml_parser_free', + 'xml_parser_get_option', + 'xml_parser_set_option', + 'xml_set_character_data_handler', + 'xml_set_default_handler', + 'xml_set_element_handler', + 'xml_set_end_namespace_decl_handler', + 'xml_set_external_entity_ref_handler', + 'xml_set_notation_decl_handler', + 'xml_set_object', + 'xml_set_processing_instruction_handler', + 'xml_set_start_namespace_decl_handler', + 'xml_set_unparsed_entity_decl_handler'), + 'XML-RPC': ('xmlrpc_decode_request', + 'xmlrpc_decode', + 'xmlrpc_encode_request', + 'xmlrpc_encode', + 'xmlrpc_get_type', + 'xmlrpc_is_fault', + 'xmlrpc_parse_method_descriptions', + 'xmlrpc_server_add_introspection_data', + 'xmlrpc_server_call_method', + 'xmlrpc_server_create', + 'xmlrpc_server_destroy', + 'xmlrpc_server_register_introspection_callback', + 'xmlrpc_server_register_method', + 'xmlrpc_set_type'), + 'XSLT (PHP 4)': ('xslt_backend_info', + 'xslt_backend_name', + 'xslt_backend_version', + 'xslt_create', + 'xslt_errno', + 'xslt_error', + 'xslt_free', + 'xslt_getopt', + 'xslt_process', + 'xslt_set_base', + 'xslt_set_encoding', + 'xslt_set_error_handler', + 'xslt_set_log', + 'xslt_set_object', + 'xslt_set_sax_handler', + 'xslt_set_sax_handlers', + 'xslt_set_scheme_handler', + 'xslt_set_scheme_handlers', + 'xslt_setopt'), + 'Xhprof': ('xhprof_disable', + 'xhprof_enable', + 'xhprof_sample_disable', + 'xhprof_sample_enable'), + 'YAZ': ('yaz_addinfo', + 'yaz_ccl_conf', + 'yaz_ccl_parse', + 'yaz_close', + 'yaz_connect', + 'yaz_database', + 'yaz_element', + 'yaz_errno', + 'yaz_error', + 'yaz_es_result', + 'yaz_es', + 'yaz_get_option', + 'yaz_hits', + 'yaz_itemorder', + 'yaz_present', + 'yaz_range', + 'yaz_record', + 'yaz_scan_result', + 'yaz_scan', + 'yaz_schema', + 'yaz_search', + 'yaz_set_option', + 'yaz_sort', + 'yaz_syntax', + 'yaz_wait'), + 'YP/NIS': ('yp_all', + 'yp_cat', + 'yp_err_string', + 'yp_errno', + 'yp_first', + 'yp_get_default_domain', + 'yp_master', + 'yp_match', + 'yp_next', + 'yp_order'), + 'Yaml': ('yaml_emit_file', + 'yaml_emit', + 'yaml_parse_file', + 'yaml_parse_url', + 'yaml_parse'), + 'Zip': ('zip_close', + 'zip_entry_close', + 'zip_entry_compressedsize', + 'zip_entry_compressionmethod', + 'zip_entry_filesize', + 'zip_entry_name', + 'zip_entry_open', + 'zip_entry_read', + 'zip_open', + 'zip_read'), + 'Zlib': ('gzclose', + 'gzcompress', + 'gzdecode', + 'gzdeflate', + 'gzencode', + 'gzeof', + 'gzfile', + 'gzgetc', + 'gzgets', + 'gzgetss', + 'gzinflate', + 'gzopen', + 'gzpassthru', + 'gzputs', + 'gzread', + 'gzrewind', + 'gzseek', + 'gztell', + 'gzuncompress', + 'gzwrite', + 'readgzfile', + 'zlib_decode', + 'zlib_encode', + 'zlib_get_coding_type'), + 'bcompiler': ('bcompiler_load_exe', + 'bcompiler_load', + 'bcompiler_parse_class', + 'bcompiler_read', + 'bcompiler_write_class', + 'bcompiler_write_constant', + 'bcompiler_write_exe_footer', + 'bcompiler_write_file', + 'bcompiler_write_footer', + 'bcompiler_write_function', + 'bcompiler_write_functions_from_file', + 'bcompiler_write_header', + 'bcompiler_write_included_filename'), + 'cURL': ('curl_close', + 'curl_copy_handle', + 'curl_errno', + 'curl_error', + 'curl_escape', + 'curl_exec', + 'curl_file_create', + 'curl_getinfo', + 'curl_init', + 'curl_multi_add_handle', + 'curl_multi_close', + 'curl_multi_exec', + 'curl_multi_getcontent', + 'curl_multi_info_read', + 'curl_multi_init', + 'curl_multi_remove_handle', + 'curl_multi_select', + 'curl_multi_setopt', + 'curl_multi_strerror', + 'curl_pause', + 'curl_reset', + 'curl_setopt_array', + 'curl_setopt', + 'curl_share_close', + 'curl_share_init', + 'curl_share_setopt', + 'curl_strerror', + 'curl_unescape', + 'curl_version'), + 'chdb': ('chdb_create',), + 'dBase': ('dbase_add_record', + 'dbase_close', + 'dbase_create', + 'dbase_delete_record', + 'dbase_get_header_info', + 'dbase_get_record_with_names', + 'dbase_get_record', + 'dbase_numfields', + 'dbase_numrecords', + 'dbase_open', + 'dbase_pack', + 'dbase_replace_record'), + 'dbx': ('dbx_close', + 'dbx_compare', + 'dbx_connect', + 'dbx_error', + 'dbx_escape_string', + 'dbx_fetch_row', + 'dbx_query', + 'dbx_sort'), + 'filePro': ('filepro_fieldcount', + 'filepro_fieldname', + 'filepro_fieldtype', + 'filepro_fieldwidth', + 'filepro_retrieve', + 'filepro_rowcount', + 'filepro'), + 'iconv': ('iconv_get_encoding', + 'iconv_mime_decode_headers', + 'iconv_mime_decode', + 'iconv_mime_encode', + 'iconv_set_encoding', + 'iconv_strlen', + 'iconv_strpos', + 'iconv_strrpos', + 'iconv_substr', + 'iconv', + 'ob_iconv_handler'), + 'inclued': ('inclued_get_data',), + 'intl': ('intl_error_name', + 'intl_get_error_code', + 'intl_get_error_message', + 'intl_is_failure'), + 'libxml': ('libxml_clear_errors', + 'libxml_disable_entity_loader', + 'libxml_get_errors', + 'libxml_get_last_error', + 'libxml_set_external_entity_loader', + 'libxml_set_streams_context', + 'libxml_use_internal_errors'), + 'mSQL': ('msql_affected_rows', + 'msql_close', + 'msql_connect', + 'msql_create_db', + 'msql_createdb', + 'msql_data_seek', + 'msql_db_query', + 'msql_dbname', + 'msql_drop_db', + 'msql_error', + 'msql_fetch_array', + 'msql_fetch_field', + 'msql_fetch_object', + 'msql_fetch_row', + 'msql_field_flags', + 'msql_field_len', + 'msql_field_name', + 'msql_field_seek', + 'msql_field_table', + 'msql_field_type', + 'msql_fieldflags', + 'msql_fieldlen', + 'msql_fieldname', + 'msql_fieldtable', + 'msql_fieldtype', + 'msql_free_result', + 'msql_list_dbs', + 'msql_list_fields', + 'msql_list_tables', + 'msql_num_fields', + 'msql_num_rows', + 'msql_numfields', + 'msql_numrows', + 'msql_pconnect', + 'msql_query', + 'msql_regcase', + 'msql_result', + 'msql_select_db', + 'msql_tablename', + 'msql'), + 'mnoGoSearch': ('udm_add_search_limit', + 'udm_alloc_agent_array', + 'udm_alloc_agent', + 'udm_api_version', + 'udm_cat_list', + 'udm_cat_path', + 'udm_check_charset', + 'udm_check_stored', + 'udm_clear_search_limits', + 'udm_close_stored', + 'udm_crc32', + 'udm_errno', + 'udm_error', + 'udm_find', + 'udm_free_agent', + 'udm_free_ispell_data', + 'udm_free_res', + 'udm_get_doc_count', + 'udm_get_res_field', + 'udm_get_res_param', + 'udm_hash32', + 'udm_load_ispell_data', + 'udm_open_stored', + 'udm_set_agent_param'), + 'mqseries': ('mqseries_back', + 'mqseries_begin', + 'mqseries_close', + 'mqseries_cmit', + 'mqseries_conn', + 'mqseries_connx', + 'mqseries_disc', + 'mqseries_get', + 'mqseries_inq', + 'mqseries_open', + 'mqseries_put1', + 'mqseries_put', + 'mqseries_set', + 'mqseries_strerror'), + 'mysqlnd_qc': ('mysqlnd_qc_clear_cache', + 'mysqlnd_qc_get_available_handlers', + 'mysqlnd_qc_get_cache_info', + 'mysqlnd_qc_get_core_stats', + 'mysqlnd_qc_get_normalized_query_trace_log', + 'mysqlnd_qc_get_query_trace_log', + 'mysqlnd_qc_set_cache_condition', + 'mysqlnd_qc_set_is_select', + 'mysqlnd_qc_set_storage_handler', + 'mysqlnd_qc_set_user_handlers'), + 'qtdom': ('qdom_error', 'qdom_tree'), + 'runkit': ('runkit_class_adopt', + 'runkit_class_emancipate', + 'runkit_constant_add', + 'runkit_constant_redefine', + 'runkit_constant_remove', + 'runkit_function_add', + 'runkit_function_copy', + 'runkit_function_redefine', + 'runkit_function_remove', + 'runkit_function_rename', + 'runkit_import', + 'runkit_lint_file', + 'runkit_lint', + 'runkit_method_add', + 'runkit_method_copy', + 'runkit_method_redefine', + 'runkit_method_remove', + 'runkit_method_rename', + 'runkit_return_value_used', + 'runkit_sandbox_output_handler', + 'runkit_superglobals'), + 'ssdeep': ('ssdeep_fuzzy_compare', + 'ssdeep_fuzzy_hash_filename', + 'ssdeep_fuzzy_hash'), + 'vpopmail': ('vpopmail_add_alias_domain_ex', + 'vpopmail_add_alias_domain', + 'vpopmail_add_domain_ex', + 'vpopmail_add_domain', + 'vpopmail_add_user', + 'vpopmail_alias_add', + 'vpopmail_alias_del_domain', + 'vpopmail_alias_del', + 'vpopmail_alias_get_all', + 'vpopmail_alias_get', + 'vpopmail_auth_user', + 'vpopmail_del_domain_ex', + 'vpopmail_del_domain', + 'vpopmail_del_user', + 'vpopmail_error', + 'vpopmail_passwd', + 'vpopmail_set_user_quota'), + 'win32ps': ('win32_ps_list_procs', 'win32_ps_stat_mem', 'win32_ps_stat_proc'), + 'win32service': ('win32_continue_service', + 'win32_create_service', + 'win32_delete_service', + 'win32_get_last_control_message', + 'win32_pause_service', + 'win32_query_service_status', + 'win32_set_service_status', + 'win32_start_service_ctrl_dispatcher', + 'win32_start_service', + 'win32_stop_service'), + 'xattr': ('xattr_get', + 'xattr_list', + 'xattr_remove', + 'xattr_set', + 'xattr_supported'), + 'xdiff': ('xdiff_file_bdiff_size', + 'xdiff_file_bdiff', + 'xdiff_file_bpatch', + 'xdiff_file_diff_binary', + 'xdiff_file_diff', + 'xdiff_file_merge3', + 'xdiff_file_patch_binary', + 'xdiff_file_patch', + 'xdiff_file_rabdiff', + 'xdiff_string_bdiff_size', + 'xdiff_string_bdiff', + 'xdiff_string_bpatch', + 'xdiff_string_diff_binary', + 'xdiff_string_diff', + 'xdiff_string_merge3', + 'xdiff_string_patch_binary', + 'xdiff_string_patch', + 'xdiff_string_rabdiff')} + + +if __name__ == '__main__': # pragma: no cover + import glob + import os + import pprint + import re + import shutil + import tarfile + try: + from urllib import urlretrieve + except ImportError: + from urllib.request import urlretrieve + + PHP_MANUAL_URL = 'http://us3.php.net/distributions/manual/php_manual_en.tar.gz' + PHP_MANUAL_DIR = './php-chunked-xhtml/' + PHP_REFERENCE_GLOB = 'ref.*' + PHP_FUNCTION_RE = '(.*?)' + PHP_MODULE_RE = '(.*?) Functions' + + def get_php_functions(): + function_re = re.compile(PHP_FUNCTION_RE) + module_re = re.compile(PHP_MODULE_RE) + modules = {} + + for file in get_php_references(): + module = '' + for line in open(file): + if not module: + search = module_re.search(line) + if search: + module = search.group(1) + modules[module] = [] + + elif 'href="function.' in line: + for match in function_re.finditer(line): + fn = match.group(1) + if '->' not in fn and '::' not in fn and fn not in modules[module]: + modules[module].append(fn) + + if module: + # These are dummy manual pages, not actual functions + if module == 'PHP Options/Info': + modules[module].remove('main') + + if module == 'Filesystem': + modules[module].remove('delete') + + if not modules[module]: + del modules[module] + + return modules + + def get_php_references(): + download = urlretrieve(PHP_MANUAL_URL) + tar = tarfile.open(download[0]) + tar.extractall() + tar.close() + for file in glob.glob("%s%s" % (PHP_MANUAL_DIR, PHP_REFERENCE_GLOB)): + yield file + os.remove(download[0]) + + def regenerate(filename, modules): + with open(filename) as fp: + content = fp.read() + + header = content[:content.find('MODULES = {')] + footer = content[content.find("if __name__ == '__main__':"):] + + with open(filename, 'w') as fp: + fp.write(header) + fp.write('MODULES = %s\n\n' % pprint.pformat(modules)) + fp.write(footer) + + def run(): + print('>> Downloading Function Index') + modules = get_php_functions() + total = sum(len(v) for v in modules.values()) + print('%d functions found' % total) + regenerate(__file__, modules) + shutil.rmtree(PHP_MANUAL_DIR) + + run() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_postgres_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_postgres_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..a71360f01a55aeae159849cd08031fe8b008374f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_postgres_builtins.py @@ -0,0 +1,621 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._postgres_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Self-updating data files for PostgreSQL lexer. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + + +# Autogenerated: please edit them if you like wasting your time. + +KEYWORDS = ( + 'ABORT', + 'ABSOLUTE', + 'ACCESS', + 'ACTION', + 'ADD', + 'ADMIN', + 'AFTER', + 'AGGREGATE', + 'ALL', + 'ALSO', + 'ALTER', + 'ALWAYS', + 'ANALYSE', + 'ANALYZE', + 'AND', + 'ANY', + 'ARRAY', + 'AS', + 'ASC', + 'ASSERTION', + 'ASSIGNMENT', + 'ASYMMETRIC', + 'AT', + 'ATTRIBUTE', + 'AUTHORIZATION', + 'BACKWARD', + 'BEFORE', + 'BEGIN', + 'BETWEEN', + 'BIGINT', + 'BINARY', + 'BIT', + 'BOOLEAN', + 'BOTH', + 'BY', + 'CACHE', + 'CALLED', + 'CASCADE', + 'CASCADED', + 'CASE', + 'CAST', + 'CATALOG', + 'CHAIN', + 'CHAR', + 'CHARACTER', + 'CHARACTERISTICS', + 'CHECK', + 'CHECKPOINT', + 'CLASS', + 'CLOSE', + 'CLUSTER', + 'COALESCE', + 'COLLATE', + 'COLLATION', + 'COLUMN', + 'COMMENT', + 'COMMENTS', + 'COMMIT', + 'COMMITTED', + 'CONCURRENTLY', + 'CONFIGURATION', + 'CONNECTION', + 'CONSTRAINT', + 'CONSTRAINTS', + 'CONTENT', + 'CONTINUE', + 'CONVERSION', + 'COPY', + 'COST', + 'CREATE', + 'CROSS', + 'CSV', + 'CURRENT', + 'CURRENT_CATALOG', + 'CURRENT_DATE', + 'CURRENT_ROLE', + 'CURRENT_SCHEMA', + 'CURRENT_TIME', + 'CURRENT_TIMESTAMP', + 'CURRENT_USER', + 'CURSOR', + 'CYCLE', + 'DATA', + 'DATABASE', + 'DAY', + 'DEALLOCATE', + 'DEC', + 'DECIMAL', + 'DECLARE', + 'DEFAULT', + 'DEFAULTS', + 'DEFERRABLE', + 'DEFERRED', + 'DEFINER', + 'DELETE', + 'DELIMITER', + 'DELIMITERS', + 'DESC', + 'DICTIONARY', + 'DISABLE', + 'DISCARD', + 'DISTINCT', + 'DO', + 'DOCUMENT', + 'DOMAIN', + 'DOUBLE', + 'DROP', + 'EACH', + 'ELSE', + 'ENABLE', + 'ENCODING', + 'ENCRYPTED', + 'END', + 'ENUM', + 'ESCAPE', + 'EVENT', + 'EXCEPT', + 'EXCLUDE', + 'EXCLUDING', + 'EXCLUSIVE', + 'EXECUTE', + 'EXISTS', + 'EXPLAIN', + 'EXTENSION', + 'EXTERNAL', + 'EXTRACT', + 'FALSE', + 'FAMILY', + 'FETCH', + 'FILTER', + 'FIRST', + 'FLOAT', + 'FOLLOWING', + 'FOR', + 'FORCE', + 'FOREIGN', + 'FORWARD', + 'FREEZE', + 'FROM', + 'FULL', + 'FUNCTION', + 'FUNCTIONS', + 'GLOBAL', + 'GRANT', + 'GRANTED', + 'GREATEST', + 'GROUP', + 'HANDLER', + 'HAVING', + 'HEADER', + 'HOLD', + 'HOUR', + 'IDENTITY', + 'IF', + 'ILIKE', + 'IMMEDIATE', + 'IMMUTABLE', + 'IMPLICIT', + 'IN', + 'INCLUDING', + 'INCREMENT', + 'INDEX', + 'INDEXES', + 'INHERIT', + 'INHERITS', + 'INITIALLY', + 'INLINE', + 'INNER', + 'INOUT', + 'INPUT', + 'INSENSITIVE', + 'INSERT', + 'INSTEAD', + 'INT', + 'INTEGER', + 'INTERSECT', + 'INTERVAL', + 'INTO', + 'INVOKER', + 'IS', + 'ISNULL', + 'ISOLATION', + 'JOIN', + 'KEY', + 'LABEL', + 'LANGUAGE', + 'LARGE', + 'LAST', + 'LATERAL', + 'LC_COLLATE', + 'LC_CTYPE', + 'LEADING', + 'LEAKPROOF', + 'LEAST', + 'LEFT', + 'LEVEL', + 'LIKE', + 'LIMIT', + 'LISTEN', + 'LOAD', + 'LOCAL', + 'LOCALTIME', + 'LOCALTIMESTAMP', + 'LOCATION', + 'LOCK', + 'MAPPING', + 'MATCH', + 'MATERIALIZED', + 'MAXVALUE', + 'MINUTE', + 'MINVALUE', + 'MODE', + 'MONTH', + 'MOVE', + 'NAME', + 'NAMES', + 'NATIONAL', + 'NATURAL', + 'NCHAR', + 'NEXT', + 'NO', + 'NONE', + 'NOT', + 'NOTHING', + 'NOTIFY', + 'NOTNULL', + 'NOWAIT', + 'NULL', + 'NULLIF', + 'NULLS', + 'NUMERIC', + 'OBJECT', + 'OF', + 'OFF', + 'OFFSET', + 'OIDS', + 'ON', + 'ONLY', + 'OPERATOR', + 'OPTION', + 'OPTIONS', + 'OR', + 'ORDER', + 'ORDINALITY', + 'OUT', + 'OUTER', + 'OVER', + 'OVERLAPS', + 'OVERLAY', + 'OWNED', + 'OWNER', + 'PARSER', + 'PARTIAL', + 'PARTITION', + 'PASSING', + 'PASSWORD', + 'PLACING', + 'PLANS', + 'POLICY', + 'POSITION', + 'PRECEDING', + 'PRECISION', + 'PREPARE', + 'PREPARED', + 'PRESERVE', + 'PRIMARY', + 'PRIOR', + 'PRIVILEGES', + 'PROCEDURAL', + 'PROCEDURE', + 'PROGRAM', + 'QUOTE', + 'RANGE', + 'READ', + 'REAL', + 'REASSIGN', + 'RECHECK', + 'RECURSIVE', + 'REF', + 'REFERENCES', + 'REFRESH', + 'REINDEX', + 'RELATIVE', + 'RELEASE', + 'RENAME', + 'REPEATABLE', + 'REPLACE', + 'REPLICA', + 'RESET', + 'RESTART', + 'RESTRICT', + 'RETURNING', + 'RETURNS', + 'REVOKE', + 'RIGHT', + 'ROLE', + 'ROLLBACK', + 'ROW', + 'ROWS', + 'RULE', + 'SAVEPOINT', + 'SCHEMA', + 'SCROLL', + 'SEARCH', + 'SECOND', + 'SECURITY', + 'SELECT', + 'SEQUENCE', + 'SEQUENCES', + 'SERIALIZABLE', + 'SERVER', + 'SESSION', + 'SESSION_USER', + 'SET', + 'SETOF', + 'SHARE', + 'SHOW', + 'SIMILAR', + 'SIMPLE', + 'SMALLINT', + 'SNAPSHOT', + 'SOME', + 'STABLE', + 'STANDALONE', + 'START', + 'STATEMENT', + 'STATISTICS', + 'STDIN', + 'STDOUT', + 'STORAGE', + 'STRICT', + 'STRIP', + 'SUBSTRING', + 'SYMMETRIC', + 'SYSID', + 'SYSTEM', + 'TABLE', + 'TABLES', + 'TABLESPACE', + 'TEMP', + 'TEMPLATE', + 'TEMPORARY', + 'TEXT', + 'THEN', + 'TIME', + 'TIMESTAMP', + 'TO', + 'TRAILING', + 'TRANSACTION', + 'TREAT', + 'TRIGGER', + 'TRIM', + 'TRUE', + 'TRUNCATE', + 'TRUSTED', + 'TYPE', + 'TYPES', + 'UNBOUNDED', + 'UNCOMMITTED', + 'UNENCRYPTED', + 'UNION', + 'UNIQUE', + 'UNKNOWN', + 'UNLISTEN', + 'UNLOGGED', + 'UNTIL', + 'UPDATE', + 'USER', + 'USING', + 'VACUUM', + 'VALID', + 'VALIDATE', + 'VALIDATOR', + 'VALUE', + 'VALUES', + 'VARCHAR', + 'VARIADIC', + 'VARYING', + 'VERBOSE', + 'VERSION', + 'VIEW', + 'VIEWS', + 'VOLATILE', + 'WHEN', + 'WHERE', + 'WHITESPACE', + 'WINDOW', + 'WITH', + 'WITHIN', + 'WITHOUT', + 'WORK', + 'WRAPPER', + 'WRITE', + 'XML', + 'XMLATTRIBUTES', + 'XMLCONCAT', + 'XMLELEMENT', + 'XMLEXISTS', + 'XMLFOREST', + 'XMLPARSE', + 'XMLPI', + 'XMLROOT', + 'XMLSERIALIZE', + 'YEAR', + 'YES', + 'ZONE', +) + +DATATYPES = ( + 'bigint', + 'bigserial', + 'bit', + 'bit varying', + 'bool', + 'boolean', + 'box', + 'bytea', + 'char', + 'character', + 'character varying', + 'cidr', + 'circle', + 'date', + 'decimal', + 'double precision', + 'float4', + 'float8', + 'inet', + 'int', + 'int2', + 'int4', + 'int8', + 'integer', + 'interval', + 'json', + 'jsonb', + 'line', + 'lseg', + 'macaddr', + 'money', + 'numeric', + 'path', + 'pg_lsn', + 'point', + 'polygon', + 'real', + 'serial', + 'serial2', + 'serial4', + 'serial8', + 'smallint', + 'smallserial', + 'text', + 'time', + 'timestamp', + 'timestamptz', + 'timetz', + 'tsquery', + 'tsvector', + 'txid_snapshot', + 'uuid', + 'varbit', + 'varchar', + 'with time zone', + 'without time zone', + 'xml', +) + +PSEUDO_TYPES = ( + 'any', + 'anyelement', + 'anyarray', + 'anynonarray', + 'anyenum', + 'anyrange', + 'cstring', + 'internal', + 'language_handler', + 'fdw_handler', + 'record', + 'trigger', + 'void', + 'opaque', +) + +# Remove 'trigger' from types +PSEUDO_TYPES = tuple(sorted(set(PSEUDO_TYPES) - set(map(str.lower, KEYWORDS)))) + +PLPGSQL_KEYWORDS = ( + 'ALIAS', 'CONSTANT', 'DIAGNOSTICS', 'ELSIF', 'EXCEPTION', 'EXIT', + 'FOREACH', 'GET', 'LOOP', 'NOTICE', 'OPEN', 'PERFORM', 'QUERY', 'RAISE', + 'RETURN', 'REVERSE', 'SQLSTATE', 'WHILE', +) + + +if __name__ == '__main__': # pragma: no cover + import re + try: + from urllib import urlopen + except ImportError: + from urllib.request import urlopen + + from pygments.util import format_lines + + # One man's constant is another man's variable. + SOURCE_URL = 'https://github.com/postgres/postgres/raw/master' + KEYWORDS_URL = SOURCE_URL + '/doc/src/sgml/keywords.sgml' + DATATYPES_URL = SOURCE_URL + '/doc/src/sgml/datatype.sgml' + + def update_myself(): + data_file = list(urlopen(DATATYPES_URL)) + datatypes = parse_datatypes(data_file) + pseudos = parse_pseudos(data_file) + + keywords = parse_keywords(urlopen(KEYWORDS_URL)) + update_consts(__file__, 'DATATYPES', datatypes) + update_consts(__file__, 'PSEUDO_TYPES', pseudos) + update_consts(__file__, 'KEYWORDS', keywords) + + def parse_keywords(f): + kw = [] + for m in re.finditer( + r'\s*([^<]+)\s*' + r'([^<]+)', f.read()): + kw.append(m.group(1)) + + if not kw: + raise ValueError('no keyword found') + + kw.sort() + return kw + + def parse_datatypes(f): + dt = set() + for line in f: + if '' not in line: + continue + + # Parse a string such as + # time [ (p) ] [ without time zone ] + # into types "time" and "without time zone" + + # remove all the tags + line = re.sub("[^<]+", "", line) + line = re.sub("<[^>]+>", "", line) + + # Drop the parts containing braces + for tmp in [t for tmp in line.split('[') + for t in tmp.split(']') if "(" not in t]: + for t in tmp.split(','): + t = t.strip() + if not t: continue + dt.add(" ".join(t.split())) + + dt = list(dt) + dt.sort() + return dt + + def parse_pseudos(f): + dt = [] + re_start = re.compile(r'\s*') + re_entry = re.compile(r'\s*([^<]+)') + re_end = re.compile(r'\s*
') + + f = iter(f) + for line in f: + if re_start.match(line) is not None: + break + else: + raise ValueError('pseudo datatypes table not found') + + for line in f: + m = re_entry.match(line) + if m is not None: + dt.append(m.group(1)) + + if re_end.match(line) is not None: + break + else: + raise ValueError('end of pseudo datatypes table not found') + + if not dt: + raise ValueError('pseudo datatypes not found') + + return dt + + def update_consts(filename, constname, content): + with open(filename) as f: + data = f.read() + + # Line to start/end inserting + re_match = re.compile(r'^%s\s*=\s*\($.*?^\s*\)$' % constname, re.M | re.S) + m = re_match.search(data) + if not m: + raise ValueError('Could not find existing definition for %s' % + (constname,)) + + new_block = format_lines(constname, content) + data = data[:m.start()] + new_block + data[m.end():] + + with open(filename, 'w') as f: + f.write(data) + + update_myself() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_scilab_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_scilab_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..ce0ac67d6f8aa65801fcc4193de9a8605c39e1a8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_scilab_builtins.py @@ -0,0 +1,3094 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._scilab_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Builtin list for the ScilabLexer. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +# Autogenerated + +commands_kw = ( + 'abort', + 'apropos', + 'break', + 'case', + 'catch', + 'continue', + 'do', + 'else', + 'elseif', + 'end', + 'endfunction', + 'for', + 'function', + 'help', + 'if', + 'pause', + 'quit', + 'select', + 'then', + 'try', + 'while', +) + +functions_kw = ( + '!!_invoke_', + '%H5Object_e', + '%H5Object_fieldnames', + '%H5Object_p', + '%XMLAttr_6', + '%XMLAttr_e', + '%XMLAttr_i_XMLElem', + '%XMLAttr_length', + '%XMLAttr_p', + '%XMLAttr_size', + '%XMLDoc_6', + '%XMLDoc_e', + '%XMLDoc_i_XMLList', + '%XMLDoc_p', + '%XMLElem_6', + '%XMLElem_e', + '%XMLElem_i_XMLDoc', + '%XMLElem_i_XMLElem', + '%XMLElem_i_XMLList', + '%XMLElem_p', + '%XMLList_6', + '%XMLList_e', + '%XMLList_i_XMLElem', + '%XMLList_i_XMLList', + '%XMLList_length', + '%XMLList_p', + '%XMLList_size', + '%XMLNs_6', + '%XMLNs_e', + '%XMLNs_i_XMLElem', + '%XMLNs_p', + '%XMLSet_6', + '%XMLSet_e', + '%XMLSet_length', + '%XMLSet_p', + '%XMLSet_size', + '%XMLValid_p', + '%_EClass_6', + '%_EClass_e', + '%_EClass_p', + '%_EObj_0', + '%_EObj_1__EObj', + '%_EObj_1_b', + '%_EObj_1_c', + '%_EObj_1_i', + '%_EObj_1_s', + '%_EObj_2__EObj', + '%_EObj_2_b', + '%_EObj_2_c', + '%_EObj_2_i', + '%_EObj_2_s', + '%_EObj_3__EObj', + '%_EObj_3_b', + '%_EObj_3_c', + '%_EObj_3_i', + '%_EObj_3_s', + '%_EObj_4__EObj', + '%_EObj_4_b', + '%_EObj_4_c', + '%_EObj_4_i', + '%_EObj_4_s', + '%_EObj_5', + '%_EObj_6', + '%_EObj_a__EObj', + '%_EObj_a_b', + '%_EObj_a_c', + '%_EObj_a_i', + '%_EObj_a_s', + '%_EObj_d__EObj', + '%_EObj_d_b', + '%_EObj_d_c', + '%_EObj_d_i', + '%_EObj_d_s', + '%_EObj_disp', + '%_EObj_e', + '%_EObj_g__EObj', + '%_EObj_g_b', + '%_EObj_g_c', + '%_EObj_g_i', + '%_EObj_g_s', + '%_EObj_h__EObj', + '%_EObj_h_b', + '%_EObj_h_c', + '%_EObj_h_i', + '%_EObj_h_s', + '%_EObj_i__EObj', + '%_EObj_j__EObj', + '%_EObj_j_b', + '%_EObj_j_c', + '%_EObj_j_i', + '%_EObj_j_s', + '%_EObj_k__EObj', + '%_EObj_k_b', + '%_EObj_k_c', + '%_EObj_k_i', + '%_EObj_k_s', + '%_EObj_l__EObj', + '%_EObj_l_b', + '%_EObj_l_c', + '%_EObj_l_i', + '%_EObj_l_s', + '%_EObj_m__EObj', + '%_EObj_m_b', + '%_EObj_m_c', + '%_EObj_m_i', + '%_EObj_m_s', + '%_EObj_n__EObj', + '%_EObj_n_b', + '%_EObj_n_c', + '%_EObj_n_i', + '%_EObj_n_s', + '%_EObj_o__EObj', + '%_EObj_o_b', + '%_EObj_o_c', + '%_EObj_o_i', + '%_EObj_o_s', + '%_EObj_p', + '%_EObj_p__EObj', + '%_EObj_p_b', + '%_EObj_p_c', + '%_EObj_p_i', + '%_EObj_p_s', + '%_EObj_q__EObj', + '%_EObj_q_b', + '%_EObj_q_c', + '%_EObj_q_i', + '%_EObj_q_s', + '%_EObj_r__EObj', + '%_EObj_r_b', + '%_EObj_r_c', + '%_EObj_r_i', + '%_EObj_r_s', + '%_EObj_s__EObj', + '%_EObj_s_b', + '%_EObj_s_c', + '%_EObj_s_i', + '%_EObj_s_s', + '%_EObj_t', + '%_EObj_x__EObj', + '%_EObj_x_b', + '%_EObj_x_c', + '%_EObj_x_i', + '%_EObj_x_s', + '%_EObj_y__EObj', + '%_EObj_y_b', + '%_EObj_y_c', + '%_EObj_y_i', + '%_EObj_y_s', + '%_EObj_z__EObj', + '%_EObj_z_b', + '%_EObj_z_c', + '%_EObj_z_i', + '%_EObj_z_s', + '%_eigs', + '%_load', + '%b_1__EObj', + '%b_2__EObj', + '%b_3__EObj', + '%b_4__EObj', + '%b_a__EObj', + '%b_d__EObj', + '%b_g__EObj', + '%b_h__EObj', + '%b_i_XMLList', + '%b_i__EObj', + '%b_j__EObj', + '%b_k__EObj', + '%b_l__EObj', + '%b_m__EObj', + '%b_n__EObj', + '%b_o__EObj', + '%b_p__EObj', + '%b_q__EObj', + '%b_r__EObj', + '%b_s__EObj', + '%b_x__EObj', + '%b_y__EObj', + '%b_z__EObj', + '%c_1__EObj', + '%c_2__EObj', + '%c_3__EObj', + '%c_4__EObj', + '%c_a__EObj', + '%c_d__EObj', + '%c_g__EObj', + '%c_h__EObj', + '%c_i_XMLAttr', + '%c_i_XMLDoc', + '%c_i_XMLElem', + '%c_i_XMLList', + '%c_i__EObj', + '%c_j__EObj', + '%c_k__EObj', + '%c_l__EObj', + '%c_m__EObj', + '%c_n__EObj', + '%c_o__EObj', + '%c_p__EObj', + '%c_q__EObj', + '%c_r__EObj', + '%c_s__EObj', + '%c_x__EObj', + '%c_y__EObj', + '%c_z__EObj', + '%ce_i_XMLList', + '%fptr_i_XMLList', + '%h_i_XMLList', + '%hm_i_XMLList', + '%i_1__EObj', + '%i_2__EObj', + '%i_3__EObj', + '%i_4__EObj', + '%i_a__EObj', + '%i_abs', + '%i_cumprod', + '%i_cumsum', + '%i_d__EObj', + '%i_diag', + '%i_g__EObj', + '%i_h__EObj', + '%i_i_XMLList', + '%i_i__EObj', + '%i_j__EObj', + '%i_k__EObj', + '%i_l__EObj', + '%i_m__EObj', + '%i_matrix', + '%i_max', + '%i_maxi', + '%i_min', + '%i_mini', + '%i_mput', + '%i_n__EObj', + '%i_o__EObj', + '%i_p', + '%i_p__EObj', + '%i_prod', + '%i_q__EObj', + '%i_r__EObj', + '%i_s__EObj', + '%i_sum', + '%i_tril', + '%i_triu', + '%i_x__EObj', + '%i_y__EObj', + '%i_z__EObj', + '%ip_i_XMLList', + '%l_i_XMLList', + '%l_i__EObj', + '%lss_i_XMLList', + '%mc_i_XMLList', + '%msp_full', + '%msp_i_XMLList', + '%msp_spget', + '%p_i_XMLList', + '%ptr_i_XMLList', + '%r_i_XMLList', + '%s_1__EObj', + '%s_2__EObj', + '%s_3__EObj', + '%s_4__EObj', + '%s_a__EObj', + '%s_d__EObj', + '%s_g__EObj', + '%s_h__EObj', + '%s_i_XMLList', + '%s_i__EObj', + '%s_j__EObj', + '%s_k__EObj', + '%s_l__EObj', + '%s_m__EObj', + '%s_n__EObj', + '%s_o__EObj', + '%s_p__EObj', + '%s_q__EObj', + '%s_r__EObj', + '%s_s__EObj', + '%s_x__EObj', + '%s_y__EObj', + '%s_z__EObj', + '%sp_i_XMLList', + '%spb_i_XMLList', + '%st_i_XMLList', + 'Calendar', + 'ClipBoard', + 'Matplot', + 'Matplot1', + 'PlaySound', + 'TCL_DeleteInterp', + 'TCL_DoOneEvent', + 'TCL_EvalFile', + 'TCL_EvalStr', + 'TCL_ExistArray', + 'TCL_ExistInterp', + 'TCL_ExistVar', + 'TCL_GetVar', + 'TCL_GetVersion', + 'TCL_SetVar', + 'TCL_UnsetVar', + 'TCL_UpVar', + '_', + '_code2str', + '_d', + '_str2code', + 'about', + 'abs', + 'acos', + 'addModulePreferences', + 'addcolor', + 'addf', + 'addhistory', + 'addinter', + 'addlocalizationdomain', + 'amell', + 'and', + 'argn', + 'arl2_ius', + 'ascii', + 'asin', + 'atan', + 'backslash', + 'balanc', + 'banner', + 'base2dec', + 'basename', + 'bdiag', + 'beep', + 'besselh', + 'besseli', + 'besselj', + 'besselk', + 'bessely', + 'beta', + 'bezout', + 'bfinit', + 'blkfc1i', + 'blkslvi', + 'bool2s', + 'browsehistory', + 'browsevar', + 'bsplin3val', + 'buildDoc', + 'buildouttb', + 'bvode', + 'c_link', + 'call', + 'callblk', + 'captions', + 'cd', + 'cdfbet', + 'cdfbin', + 'cdfchi', + 'cdfchn', + 'cdff', + 'cdffnc', + 'cdfgam', + 'cdfnbn', + 'cdfnor', + 'cdfpoi', + 'cdft', + 'ceil', + 'champ', + 'champ1', + 'chdir', + 'chol', + 'clc', + 'clean', + 'clear', + 'clearfun', + 'clearglobal', + 'closeEditor', + 'closeEditvar', + 'closeXcos', + 'code2str', + 'coeff', + 'color', + 'comp', + 'completion', + 'conj', + 'contour2di', + 'contr', + 'conv2', + 'convstr', + 'copy', + 'copyfile', + 'corr', + 'cos', + 'coserror', + 'createdir', + 'cshep2d', + 'csvDefault', + 'csvIsnum', + 'csvRead', + 'csvStringToDouble', + 'csvTextScan', + 'csvWrite', + 'ctree2', + 'ctree3', + 'ctree4', + 'cumprod', + 'cumsum', + 'curblock', + 'curblockc', + 'daskr', + 'dasrt', + 'dassl', + 'data2sig', + 'datatipCreate', + 'datatipManagerMode', + 'datatipMove', + 'datatipRemove', + 'datatipSetDisplay', + 'datatipSetInterp', + 'datatipSetOrientation', + 'datatipSetStyle', + 'datatipToggle', + 'dawson', + 'dct', + 'debug', + 'dec2base', + 'deff', + 'definedfields', + 'degree', + 'delbpt', + 'delete', + 'deletefile', + 'delip', + 'delmenu', + 'det', + 'dgettext', + 'dhinf', + 'diag', + 'diary', + 'diffobjs', + 'disp', + 'dispbpt', + 'displayhistory', + 'disposefftwlibrary', + 'dlgamma', + 'dnaupd', + 'dneupd', + 'double', + 'drawaxis', + 'drawlater', + 'drawnow', + 'driver', + 'dsaupd', + 'dsearch', + 'dseupd', + 'dst', + 'duplicate', + 'editvar', + 'emptystr', + 'end_scicosim', + 'ereduc', + 'erf', + 'erfc', + 'erfcx', + 'erfi', + 'errcatch', + 'errclear', + 'error', + 'eval_cshep2d', + 'exec', + 'execstr', + 'exists', + 'exit', + 'exp', + 'expm', + 'exportUI', + 'export_to_hdf5', + 'eye', + 'fadj2sp', + 'fec', + 'feval', + 'fft', + 'fftw', + 'fftw_flags', + 'fftw_forget_wisdom', + 'fftwlibraryisloaded', + 'figure', + 'file', + 'filebrowser', + 'fileext', + 'fileinfo', + 'fileparts', + 'filesep', + 'find', + 'findBD', + 'findfiles', + 'fire_closing_finished', + 'floor', + 'format', + 'fort', + 'fprintfMat', + 'freq', + 'frexp', + 'fromc', + 'fromjava', + 'fscanfMat', + 'fsolve', + 'fstair', + 'full', + 'fullpath', + 'funcprot', + 'funptr', + 'gamma', + 'gammaln', + 'geom3d', + 'get', + 'getURL', + 'get_absolute_file_path', + 'get_fftw_wisdom', + 'getblocklabel', + 'getcallbackobject', + 'getdate', + 'getdebuginfo', + 'getdefaultlanguage', + 'getdrives', + 'getdynlibext', + 'getenv', + 'getfield', + 'gethistory', + 'gethistoryfile', + 'getinstalledlookandfeels', + 'getio', + 'getlanguage', + 'getlongpathname', + 'getlookandfeel', + 'getmd5', + 'getmemory', + 'getmodules', + 'getos', + 'getpid', + 'getrelativefilename', + 'getscicosvars', + 'getscilabmode', + 'getshortpathname', + 'gettext', + 'getvariablesonstack', + 'getversion', + 'glist', + 'global', + 'glue', + 'grand', + 'graphicfunction', + 'grayplot', + 'grep', + 'gsort', + 'gstacksize', + 'h5attr', + 'h5close', + 'h5cp', + 'h5dataset', + 'h5dump', + 'h5exists', + 'h5flush', + 'h5get', + 'h5group', + 'h5isArray', + 'h5isAttr', + 'h5isCompound', + 'h5isFile', + 'h5isGroup', + 'h5isList', + 'h5isRef', + 'h5isSet', + 'h5isSpace', + 'h5isType', + 'h5isVlen', + 'h5label', + 'h5ln', + 'h5ls', + 'h5mount', + 'h5mv', + 'h5open', + 'h5read', + 'h5readattr', + 'h5rm', + 'h5umount', + 'h5write', + 'h5writeattr', + 'havewindow', + 'helpbrowser', + 'hess', + 'hinf', + 'historymanager', + 'historysize', + 'host', + 'htmlDump', + 'htmlRead', + 'htmlReadStr', + 'htmlWrite', + 'iconvert', + 'ieee', + 'ilib_verbose', + 'imag', + 'impl', + 'import_from_hdf5', + 'imult', + 'inpnvi', + 'int', + 'int16', + 'int2d', + 'int32', + 'int3d', + 'int8', + 'interp', + 'interp2d', + 'interp3d', + 'intg', + 'intppty', + 'inttype', + 'inv', + 'invoke_lu', + 'is_handle_valid', + 'is_hdf5_file', + 'isalphanum', + 'isascii', + 'isdef', + 'isdigit', + 'isdir', + 'isequal', + 'isequalbitwise', + 'iserror', + 'isfile', + 'isglobal', + 'isletter', + 'isnum', + 'isreal', + 'iswaitingforinput', + 'jallowClassReloading', + 'jarray', + 'jautoTranspose', + 'jautoUnwrap', + 'javaclasspath', + 'javalibrarypath', + 'jcast', + 'jcompile', + 'jconvMatrixMethod', + 'jcreatejar', + 'jdeff', + 'jdisableTrace', + 'jenableTrace', + 'jexists', + 'jgetclassname', + 'jgetfield', + 'jgetfields', + 'jgetinfo', + 'jgetmethods', + 'jimport', + 'jinvoke', + 'jinvoke_db', + 'jnewInstance', + 'jremove', + 'jsetfield', + 'junwrap', + 'junwraprem', + 'jwrap', + 'jwrapinfloat', + 'kron', + 'lasterror', + 'ldiv', + 'ldivf', + 'legendre', + 'length', + 'lib', + 'librarieslist', + 'libraryinfo', + 'light', + 'linear_interpn', + 'lines', + 'link', + 'linmeq', + 'list', + 'listvar_in_hdf5', + 'load', + 'loadGui', + 'loadScicos', + 'loadXcos', + 'loadfftwlibrary', + 'loadhistory', + 'log', + 'log1p', + 'lsq', + 'lsq_splin', + 'lsqrsolve', + 'lsslist', + 'lstcat', + 'lstsize', + 'ltitr', + 'lu', + 'ludel', + 'lufact', + 'luget', + 'lusolve', + 'macr2lst', + 'macr2tree', + 'matfile_close', + 'matfile_listvar', + 'matfile_open', + 'matfile_varreadnext', + 'matfile_varwrite', + 'matrix', + 'max', + 'maxfiles', + 'mclearerr', + 'mclose', + 'meof', + 'merror', + 'messagebox', + 'mfprintf', + 'mfscanf', + 'mget', + 'mgeti', + 'mgetl', + 'mgetstr', + 'min', + 'mlist', + 'mode', + 'model2blk', + 'mopen', + 'move', + 'movefile', + 'mprintf', + 'mput', + 'mputl', + 'mputstr', + 'mscanf', + 'mseek', + 'msprintf', + 'msscanf', + 'mtell', + 'mtlb_mode', + 'mtlb_sparse', + 'mucomp', + 'mulf', + 'name2rgb', + 'nearfloat', + 'newaxes', + 'newest', + 'newfun', + 'nnz', + 'norm', + 'notify', + 'number_properties', + 'ode', + 'odedc', + 'ones', + 'openged', + 'opentk', + 'optim', + 'or', + 'ordmmd', + 'parallel_concurrency', + 'parallel_run', + 'param3d', + 'param3d1', + 'part', + 'pathconvert', + 'pathsep', + 'phase_simulation', + 'plot2d', + 'plot2d1', + 'plot2d2', + 'plot2d3', + 'plot2d4', + 'plot3d', + 'plot3d1', + 'plotbrowser', + 'pointer_xproperty', + 'poly', + 'ppol', + 'pppdiv', + 'predef', + 'preferences', + 'print', + 'printf', + 'printfigure', + 'printsetupbox', + 'prod', + 'progressionbar', + 'prompt', + 'pwd', + 'qld', + 'qp_solve', + 'qr', + 'raise_window', + 'rand', + 'rankqr', + 'rat', + 'rcond', + 'rdivf', + 'read', + 'read4b', + 'read_csv', + 'readb', + 'readgateway', + 'readmps', + 'real', + 'realtime', + 'realtimeinit', + 'regexp', + 'relocate_handle', + 'remez', + 'removeModulePreferences', + 'removedir', + 'removelinehistory', + 'res_with_prec', + 'resethistory', + 'residu', + 'resume', + 'return', + 'ricc', + 'rlist', + 'roots', + 'rotate_axes', + 'round', + 'rpem', + 'rtitr', + 'rubberbox', + 'save', + 'saveGui', + 'saveafterncommands', + 'saveconsecutivecommands', + 'savehistory', + 'schur', + 'sci_haltscicos', + 'sci_tree2', + 'sci_tree3', + 'sci_tree4', + 'sciargs', + 'scicos_debug', + 'scicos_debug_count', + 'scicos_time', + 'scicosim', + 'scinotes', + 'sctree', + 'semidef', + 'set', + 'set_blockerror', + 'set_fftw_wisdom', + 'set_xproperty', + 'setbpt', + 'setdefaultlanguage', + 'setenv', + 'setfield', + 'sethistoryfile', + 'setlanguage', + 'setlookandfeel', + 'setmenu', + 'sfact', + 'sfinit', + 'show_window', + 'sident', + 'sig2data', + 'sign', + 'simp', + 'simp_mode', + 'sin', + 'size', + 'slash', + 'sleep', + 'sorder', + 'sparse', + 'spchol', + 'spcompack', + 'spec', + 'spget', + 'splin', + 'splin2d', + 'splin3d', + 'splitURL', + 'spones', + 'sprintf', + 'sqrt', + 'stacksize', + 'str2code', + 'strcat', + 'strchr', + 'strcmp', + 'strcspn', + 'strindex', + 'string', + 'stringbox', + 'stripblanks', + 'strncpy', + 'strrchr', + 'strrev', + 'strsplit', + 'strspn', + 'strstr', + 'strsubst', + 'strtod', + 'strtok', + 'subf', + 'sum', + 'svd', + 'swap_handles', + 'symfcti', + 'syredi', + 'system_getproperty', + 'system_setproperty', + 'ta2lpd', + 'tan', + 'taucs_chdel', + 'taucs_chfact', + 'taucs_chget', + 'taucs_chinfo', + 'taucs_chsolve', + 'tempname', + 'testmatrix', + 'timer', + 'tlist', + 'tohome', + 'tokens', + 'toolbar', + 'toprint', + 'tr_zer', + 'tril', + 'triu', + 'type', + 'typename', + 'uiDisplayTree', + 'uicontextmenu', + 'uicontrol', + 'uigetcolor', + 'uigetdir', + 'uigetfile', + 'uigetfont', + 'uimenu', + 'uint16', + 'uint32', + 'uint8', + 'uipopup', + 'uiputfile', + 'uiwait', + 'ulink', + 'umf_ludel', + 'umf_lufact', + 'umf_luget', + 'umf_luinfo', + 'umf_lusolve', + 'umfpack', + 'unglue', + 'unix', + 'unsetmenu', + 'unzoom', + 'updatebrowsevar', + 'usecanvas', + 'useeditor', + 'user', + 'var2vec', + 'varn', + 'vec2var', + 'waitbar', + 'warnBlockByUID', + 'warning', + 'what', + 'where', + 'whereis', + 'who', + 'winsid', + 'with_module', + 'writb', + 'write', + 'write4b', + 'write_csv', + 'x_choose', + 'x_choose_modeless', + 'x_dialog', + 'x_mdialog', + 'xarc', + 'xarcs', + 'xarrows', + 'xchange', + 'xchoicesi', + 'xclick', + 'xcos', + 'xcosAddToolsMenu', + 'xcosConfigureXmlFile', + 'xcosDiagramToScilab', + 'xcosPalCategoryAdd', + 'xcosPalDelete', + 'xcosPalDisable', + 'xcosPalEnable', + 'xcosPalGenerateIcon', + 'xcosPalGet', + 'xcosPalLoad', + 'xcosPalMove', + 'xcosSimulationStarted', + 'xcosUpdateBlock', + 'xdel', + 'xend', + 'xfarc', + 'xfarcs', + 'xfpoly', + 'xfpolys', + 'xfrect', + 'xget', + 'xgetmouse', + 'xgraduate', + 'xgrid', + 'xinit', + 'xlfont', + 'xls_open', + 'xls_read', + 'xmlAddNs', + 'xmlAppend', + 'xmlAsNumber', + 'xmlAsText', + 'xmlDTD', + 'xmlDelete', + 'xmlDocument', + 'xmlDump', + 'xmlElement', + 'xmlFormat', + 'xmlGetNsByHref', + 'xmlGetNsByPrefix', + 'xmlGetOpenDocs', + 'xmlIsValidObject', + 'xmlName', + 'xmlNs', + 'xmlRead', + 'xmlReadStr', + 'xmlRelaxNG', + 'xmlRemove', + 'xmlSchema', + 'xmlSetAttributes', + 'xmlValidate', + 'xmlWrite', + 'xmlXPath', + 'xname', + 'xpause', + 'xpoly', + 'xpolys', + 'xrect', + 'xrects', + 'xs2bmp', + 'xs2emf', + 'xs2eps', + 'xs2gif', + 'xs2jpg', + 'xs2pdf', + 'xs2png', + 'xs2ppm', + 'xs2ps', + 'xs2svg', + 'xsegs', + 'xset', + 'xstring', + 'xstringb', + 'xtitle', + 'zeros', + 'znaupd', + 'zneupd', + 'zoom_rect', +) + +macros_kw = ( + '!_deff_wrapper', + '%0_i_st', + '%3d_i_h', + '%Block_xcosUpdateBlock', + '%TNELDER_p', + '%TNELDER_string', + '%TNMPLOT_p', + '%TNMPLOT_string', + '%TOPTIM_p', + '%TOPTIM_string', + '%TSIMPLEX_p', + '%TSIMPLEX_string', + '%_EVoid_p', + '%_gsort', + '%_listvarinfile', + '%_rlist', + '%_save', + '%_sodload', + '%_strsplit', + '%_unwrap', + '%ar_p', + '%asn', + '%b_a_b', + '%b_a_s', + '%b_c_s', + '%b_c_spb', + '%b_cumprod', + '%b_cumsum', + '%b_d_s', + '%b_diag', + '%b_e', + '%b_f_s', + '%b_f_spb', + '%b_g_s', + '%b_g_spb', + '%b_grand', + '%b_h_s', + '%b_h_spb', + '%b_i_b', + '%b_i_ce', + '%b_i_h', + '%b_i_hm', + '%b_i_s', + '%b_i_sp', + '%b_i_spb', + '%b_i_st', + '%b_iconvert', + '%b_l_b', + '%b_l_s', + '%b_m_b', + '%b_m_s', + '%b_matrix', + '%b_n_hm', + '%b_o_hm', + '%b_p_s', + '%b_prod', + '%b_r_b', + '%b_r_s', + '%b_s_b', + '%b_s_s', + '%b_string', + '%b_sum', + '%b_tril', + '%b_triu', + '%b_x_b', + '%b_x_s', + '%bicg', + '%bicgstab', + '%c_a_c', + '%c_b_c', + '%c_b_s', + '%c_diag', + '%c_dsearch', + '%c_e', + '%c_eye', + '%c_f_s', + '%c_grand', + '%c_i_c', + '%c_i_ce', + '%c_i_h', + '%c_i_hm', + '%c_i_lss', + '%c_i_r', + '%c_i_s', + '%c_i_st', + '%c_matrix', + '%c_n_l', + '%c_n_st', + '%c_o_l', + '%c_o_st', + '%c_ones', + '%c_rand', + '%c_tril', + '%c_triu', + '%cblock_c_cblock', + '%cblock_c_s', + '%cblock_e', + '%cblock_f_cblock', + '%cblock_p', + '%cblock_size', + '%ce_6', + '%ce_c_ce', + '%ce_e', + '%ce_f_ce', + '%ce_i_ce', + '%ce_i_s', + '%ce_i_st', + '%ce_matrix', + '%ce_p', + '%ce_size', + '%ce_string', + '%ce_t', + '%cgs', + '%champdat_i_h', + '%choose', + '%diagram_xcos', + '%dir_p', + '%fptr_i_st', + '%grand_perm', + '%grayplot_i_h', + '%h_i_st', + '%hmS_k_hmS_generic', + '%hm_1_hm', + '%hm_1_s', + '%hm_2_hm', + '%hm_2_s', + '%hm_3_hm', + '%hm_3_s', + '%hm_4_hm', + '%hm_4_s', + '%hm_5', + '%hm_a_hm', + '%hm_a_r', + '%hm_a_s', + '%hm_abs', + '%hm_and', + '%hm_bool2s', + '%hm_c_hm', + '%hm_ceil', + '%hm_conj', + '%hm_cos', + '%hm_cumprod', + '%hm_cumsum', + '%hm_d_hm', + '%hm_d_s', + '%hm_degree', + '%hm_dsearch', + '%hm_e', + '%hm_exp', + '%hm_eye', + '%hm_f_hm', + '%hm_find', + '%hm_floor', + '%hm_g_hm', + '%hm_grand', + '%hm_gsort', + '%hm_h_hm', + '%hm_i_b', + '%hm_i_ce', + '%hm_i_h', + '%hm_i_hm', + '%hm_i_i', + '%hm_i_p', + '%hm_i_r', + '%hm_i_s', + '%hm_i_st', + '%hm_iconvert', + '%hm_imag', + '%hm_int', + '%hm_isnan', + '%hm_isreal', + '%hm_j_hm', + '%hm_j_s', + '%hm_k_hm', + '%hm_k_s', + '%hm_log', + '%hm_m_p', + '%hm_m_r', + '%hm_m_s', + '%hm_matrix', + '%hm_max', + '%hm_mean', + '%hm_median', + '%hm_min', + '%hm_n_b', + '%hm_n_c', + '%hm_n_hm', + '%hm_n_i', + '%hm_n_p', + '%hm_n_s', + '%hm_o_b', + '%hm_o_c', + '%hm_o_hm', + '%hm_o_i', + '%hm_o_p', + '%hm_o_s', + '%hm_ones', + '%hm_or', + '%hm_p', + '%hm_prod', + '%hm_q_hm', + '%hm_r_s', + '%hm_rand', + '%hm_real', + '%hm_round', + '%hm_s', + '%hm_s_hm', + '%hm_s_r', + '%hm_s_s', + '%hm_sign', + '%hm_sin', + '%hm_size', + '%hm_sqrt', + '%hm_stdev', + '%hm_string', + '%hm_sum', + '%hm_x_hm', + '%hm_x_p', + '%hm_x_s', + '%hm_zeros', + '%i_1_s', + '%i_2_s', + '%i_3_s', + '%i_4_s', + '%i_Matplot', + '%i_a_i', + '%i_a_s', + '%i_and', + '%i_ascii', + '%i_b_s', + '%i_bezout', + '%i_champ', + '%i_champ1', + '%i_contour', + '%i_contour2d', + '%i_d_i', + '%i_d_s', + '%i_dsearch', + '%i_e', + '%i_fft', + '%i_g_i', + '%i_gcd', + '%i_grand', + '%i_h_i', + '%i_i_ce', + '%i_i_h', + '%i_i_hm', + '%i_i_i', + '%i_i_s', + '%i_i_st', + '%i_j_i', + '%i_j_s', + '%i_l_s', + '%i_lcm', + '%i_length', + '%i_m_i', + '%i_m_s', + '%i_mfprintf', + '%i_mprintf', + '%i_msprintf', + '%i_n_s', + '%i_o_s', + '%i_or', + '%i_p_i', + '%i_p_s', + '%i_plot2d', + '%i_plot2d1', + '%i_plot2d2', + '%i_q_s', + '%i_r_i', + '%i_r_s', + '%i_round', + '%i_s_i', + '%i_s_s', + '%i_sign', + '%i_string', + '%i_x_i', + '%i_x_s', + '%ip_a_s', + '%ip_i_st', + '%ip_m_s', + '%ip_n_ip', + '%ip_o_ip', + '%ip_p', + '%ip_part', + '%ip_s_s', + '%ip_string', + '%k', + '%l_i_h', + '%l_i_s', + '%l_i_st', + '%l_isequal', + '%l_n_c', + '%l_n_l', + '%l_n_m', + '%l_n_p', + '%l_n_s', + '%l_n_st', + '%l_o_c', + '%l_o_l', + '%l_o_m', + '%l_o_p', + '%l_o_s', + '%l_o_st', + '%lss_a_lss', + '%lss_a_p', + '%lss_a_r', + '%lss_a_s', + '%lss_c_lss', + '%lss_c_p', + '%lss_c_r', + '%lss_c_s', + '%lss_e', + '%lss_eye', + '%lss_f_lss', + '%lss_f_p', + '%lss_f_r', + '%lss_f_s', + '%lss_i_ce', + '%lss_i_lss', + '%lss_i_p', + '%lss_i_r', + '%lss_i_s', + '%lss_i_st', + '%lss_inv', + '%lss_l_lss', + '%lss_l_p', + '%lss_l_r', + '%lss_l_s', + '%lss_m_lss', + '%lss_m_p', + '%lss_m_r', + '%lss_m_s', + '%lss_n_lss', + '%lss_n_p', + '%lss_n_r', + '%lss_n_s', + '%lss_norm', + '%lss_o_lss', + '%lss_o_p', + '%lss_o_r', + '%lss_o_s', + '%lss_ones', + '%lss_r_lss', + '%lss_r_p', + '%lss_r_r', + '%lss_r_s', + '%lss_rand', + '%lss_s', + '%lss_s_lss', + '%lss_s_p', + '%lss_s_r', + '%lss_s_s', + '%lss_size', + '%lss_t', + '%lss_v_lss', + '%lss_v_p', + '%lss_v_r', + '%lss_v_s', + '%lt_i_s', + '%m_n_l', + '%m_o_l', + '%mc_i_h', + '%mc_i_s', + '%mc_i_st', + '%mc_n_st', + '%mc_o_st', + '%mc_string', + '%mps_p', + '%mps_string', + '%msp_a_s', + '%msp_abs', + '%msp_e', + '%msp_find', + '%msp_i_s', + '%msp_i_st', + '%msp_length', + '%msp_m_s', + '%msp_maxi', + '%msp_n_msp', + '%msp_nnz', + '%msp_o_msp', + '%msp_p', + '%msp_sparse', + '%msp_spones', + '%msp_t', + '%p_a_lss', + '%p_a_r', + '%p_c_lss', + '%p_c_r', + '%p_cumprod', + '%p_cumsum', + '%p_d_p', + '%p_d_r', + '%p_d_s', + '%p_det', + '%p_e', + '%p_f_lss', + '%p_f_r', + '%p_grand', + '%p_i_ce', + '%p_i_h', + '%p_i_hm', + '%p_i_lss', + '%p_i_p', + '%p_i_r', + '%p_i_s', + '%p_i_st', + '%p_inv', + '%p_j_s', + '%p_k_p', + '%p_k_r', + '%p_k_s', + '%p_l_lss', + '%p_l_p', + '%p_l_r', + '%p_l_s', + '%p_m_hm', + '%p_m_lss', + '%p_m_r', + '%p_matrix', + '%p_n_l', + '%p_n_lss', + '%p_n_r', + '%p_o_l', + '%p_o_lss', + '%p_o_r', + '%p_o_sp', + '%p_p_s', + '%p_part', + '%p_prod', + '%p_q_p', + '%p_q_r', + '%p_q_s', + '%p_r_lss', + '%p_r_p', + '%p_r_r', + '%p_r_s', + '%p_s_lss', + '%p_s_r', + '%p_simp', + '%p_string', + '%p_sum', + '%p_v_lss', + '%p_v_p', + '%p_v_r', + '%p_v_s', + '%p_x_hm', + '%p_x_r', + '%p_y_p', + '%p_y_r', + '%p_y_s', + '%p_z_p', + '%p_z_r', + '%p_z_s', + '%pcg', + '%plist_p', + '%plist_string', + '%r_0', + '%r_a_hm', + '%r_a_lss', + '%r_a_p', + '%r_a_r', + '%r_a_s', + '%r_c_lss', + '%r_c_p', + '%r_c_r', + '%r_c_s', + '%r_clean', + '%r_cumprod', + '%r_cumsum', + '%r_d_p', + '%r_d_r', + '%r_d_s', + '%r_det', + '%r_diag', + '%r_e', + '%r_eye', + '%r_f_lss', + '%r_f_p', + '%r_f_r', + '%r_f_s', + '%r_i_ce', + '%r_i_hm', + '%r_i_lss', + '%r_i_p', + '%r_i_r', + '%r_i_s', + '%r_i_st', + '%r_inv', + '%r_j_s', + '%r_k_p', + '%r_k_r', + '%r_k_s', + '%r_l_lss', + '%r_l_p', + '%r_l_r', + '%r_l_s', + '%r_m_hm', + '%r_m_lss', + '%r_m_p', + '%r_m_r', + '%r_m_s', + '%r_matrix', + '%r_n_lss', + '%r_n_p', + '%r_n_r', + '%r_n_s', + '%r_norm', + '%r_o_lss', + '%r_o_p', + '%r_o_r', + '%r_o_s', + '%r_ones', + '%r_p', + '%r_p_s', + '%r_prod', + '%r_q_p', + '%r_q_r', + '%r_q_s', + '%r_r_lss', + '%r_r_p', + '%r_r_r', + '%r_r_s', + '%r_rand', + '%r_s', + '%r_s_hm', + '%r_s_lss', + '%r_s_p', + '%r_s_r', + '%r_s_s', + '%r_simp', + '%r_size', + '%r_string', + '%r_sum', + '%r_t', + '%r_tril', + '%r_triu', + '%r_v_lss', + '%r_v_p', + '%r_v_r', + '%r_v_s', + '%r_varn', + '%r_x_p', + '%r_x_r', + '%r_x_s', + '%r_y_p', + '%r_y_r', + '%r_y_s', + '%r_z_p', + '%r_z_r', + '%r_z_s', + '%s_1_hm', + '%s_1_i', + '%s_2_hm', + '%s_2_i', + '%s_3_hm', + '%s_3_i', + '%s_4_hm', + '%s_4_i', + '%s_5', + '%s_a_b', + '%s_a_hm', + '%s_a_i', + '%s_a_ip', + '%s_a_lss', + '%s_a_msp', + '%s_a_r', + '%s_a_sp', + '%s_and', + '%s_b_i', + '%s_b_s', + '%s_bezout', + '%s_c_b', + '%s_c_cblock', + '%s_c_lss', + '%s_c_r', + '%s_c_sp', + '%s_d_b', + '%s_d_i', + '%s_d_p', + '%s_d_r', + '%s_d_sp', + '%s_e', + '%s_f_b', + '%s_f_cblock', + '%s_f_lss', + '%s_f_r', + '%s_f_sp', + '%s_g_b', + '%s_g_s', + '%s_gcd', + '%s_grand', + '%s_h_b', + '%s_h_s', + '%s_i_b', + '%s_i_c', + '%s_i_ce', + '%s_i_h', + '%s_i_hm', + '%s_i_i', + '%s_i_lss', + '%s_i_p', + '%s_i_r', + '%s_i_s', + '%s_i_sp', + '%s_i_spb', + '%s_i_st', + '%s_j_i', + '%s_k_hm', + '%s_k_p', + '%s_k_r', + '%s_k_sp', + '%s_l_b', + '%s_l_hm', + '%s_l_i', + '%s_l_lss', + '%s_l_p', + '%s_l_r', + '%s_l_s', + '%s_l_sp', + '%s_lcm', + '%s_m_b', + '%s_m_hm', + '%s_m_i', + '%s_m_ip', + '%s_m_lss', + '%s_m_msp', + '%s_m_r', + '%s_matrix', + '%s_n_hm', + '%s_n_i', + '%s_n_l', + '%s_n_lss', + '%s_n_r', + '%s_n_st', + '%s_o_hm', + '%s_o_i', + '%s_o_l', + '%s_o_lss', + '%s_o_r', + '%s_o_st', + '%s_or', + '%s_p_b', + '%s_p_i', + '%s_pow', + '%s_q_hm', + '%s_q_i', + '%s_q_p', + '%s_q_r', + '%s_q_sp', + '%s_r_b', + '%s_r_i', + '%s_r_lss', + '%s_r_p', + '%s_r_r', + '%s_r_s', + '%s_r_sp', + '%s_s_b', + '%s_s_hm', + '%s_s_i', + '%s_s_ip', + '%s_s_lss', + '%s_s_r', + '%s_s_sp', + '%s_simp', + '%s_v_lss', + '%s_v_p', + '%s_v_r', + '%s_v_s', + '%s_x_b', + '%s_x_hm', + '%s_x_i', + '%s_x_r', + '%s_y_p', + '%s_y_r', + '%s_y_sp', + '%s_z_p', + '%s_z_r', + '%s_z_sp', + '%sn', + '%sp_a_s', + '%sp_a_sp', + '%sp_and', + '%sp_c_s', + '%sp_ceil', + '%sp_conj', + '%sp_cos', + '%sp_cumprod', + '%sp_cumsum', + '%sp_d_s', + '%sp_d_sp', + '%sp_det', + '%sp_diag', + '%sp_e', + '%sp_exp', + '%sp_f_s', + '%sp_floor', + '%sp_grand', + '%sp_gsort', + '%sp_i_ce', + '%sp_i_h', + '%sp_i_s', + '%sp_i_sp', + '%sp_i_st', + '%sp_int', + '%sp_inv', + '%sp_k_s', + '%sp_k_sp', + '%sp_l_s', + '%sp_l_sp', + '%sp_length', + '%sp_max', + '%sp_min', + '%sp_norm', + '%sp_or', + '%sp_p_s', + '%sp_prod', + '%sp_q_s', + '%sp_q_sp', + '%sp_r_s', + '%sp_r_sp', + '%sp_round', + '%sp_s_s', + '%sp_s_sp', + '%sp_sin', + '%sp_sqrt', + '%sp_string', + '%sp_sum', + '%sp_tril', + '%sp_triu', + '%sp_y_s', + '%sp_y_sp', + '%sp_z_s', + '%sp_z_sp', + '%spb_and', + '%spb_c_b', + '%spb_cumprod', + '%spb_cumsum', + '%spb_diag', + '%spb_e', + '%spb_f_b', + '%spb_g_b', + '%spb_g_spb', + '%spb_h_b', + '%spb_h_spb', + '%spb_i_b', + '%spb_i_ce', + '%spb_i_h', + '%spb_i_st', + '%spb_or', + '%spb_prod', + '%spb_sum', + '%spb_tril', + '%spb_triu', + '%st_6', + '%st_c_st', + '%st_e', + '%st_f_st', + '%st_i_b', + '%st_i_c', + '%st_i_fptr', + '%st_i_h', + '%st_i_i', + '%st_i_ip', + '%st_i_lss', + '%st_i_msp', + '%st_i_p', + '%st_i_r', + '%st_i_s', + '%st_i_sp', + '%st_i_spb', + '%st_i_st', + '%st_matrix', + '%st_n_c', + '%st_n_l', + '%st_n_mc', + '%st_n_p', + '%st_n_s', + '%st_o_c', + '%st_o_l', + '%st_o_mc', + '%st_o_p', + '%st_o_s', + '%st_o_tl', + '%st_p', + '%st_size', + '%st_string', + '%st_t', + '%ticks_i_h', + '%xls_e', + '%xls_p', + '%xlssheet_e', + '%xlssheet_p', + '%xlssheet_size', + '%xlssheet_string', + 'DominationRank', + 'G_make', + 'IsAScalar', + 'NDcost', + 'OS_Version', + 'PlotSparse', + 'ReadHBSparse', + 'TCL_CreateSlave', + 'abcd', + 'abinv', + 'accept_func_default', + 'accept_func_vfsa', + 'acf', + 'acosd', + 'acosh', + 'acoshm', + 'acosm', + 'acot', + 'acotd', + 'acoth', + 'acsc', + 'acscd', + 'acsch', + 'add_demo', + 'add_help_chapter', + 'add_module_help_chapter', + 'add_param', + 'add_profiling', + 'adj2sp', + 'aff2ab', + 'ana_style', + 'analpf', + 'analyze', + 'aplat', + 'arhnk', + 'arl2', + 'arma2p', + 'arma2ss', + 'armac', + 'armax', + 'armax1', + 'arobasestring2strings', + 'arsimul', + 'ascii2string', + 'asciimat', + 'asec', + 'asecd', + 'asech', + 'asind', + 'asinh', + 'asinhm', + 'asinm', + 'assert_checkalmostequal', + 'assert_checkequal', + 'assert_checkerror', + 'assert_checkfalse', + 'assert_checkfilesequal', + 'assert_checktrue', + 'assert_comparecomplex', + 'assert_computedigits', + 'assert_cond2reltol', + 'assert_cond2reqdigits', + 'assert_generror', + 'atand', + 'atanh', + 'atanhm', + 'atanm', + 'atomsAutoload', + 'atomsAutoloadAdd', + 'atomsAutoloadDel', + 'atomsAutoloadList', + 'atomsCategoryList', + 'atomsCheckModule', + 'atomsDepTreeShow', + 'atomsGetConfig', + 'atomsGetInstalled', + 'atomsGetInstalledPath', + 'atomsGetLoaded', + 'atomsGetLoadedPath', + 'atomsInstall', + 'atomsIsInstalled', + 'atomsIsLoaded', + 'atomsList', + 'atomsLoad', + 'atomsQuit', + 'atomsRemove', + 'atomsRepositoryAdd', + 'atomsRepositoryDel', + 'atomsRepositoryList', + 'atomsRestoreConfig', + 'atomsSaveConfig', + 'atomsSearch', + 'atomsSetConfig', + 'atomsShow', + 'atomsSystemInit', + 'atomsSystemUpdate', + 'atomsTest', + 'atomsUpdate', + 'atomsVersion', + 'augment', + 'auread', + 'auwrite', + 'balreal', + 'bench_run', + 'bilin', + 'bilt', + 'bin2dec', + 'binomial', + 'bitand', + 'bitcmp', + 'bitget', + 'bitor', + 'bitset', + 'bitxor', + 'black', + 'blanks', + 'bloc2exp', + 'bloc2ss', + 'block_parameter_error', + 'bode', + 'bode_asymp', + 'bstap', + 'buttmag', + 'bvodeS', + 'bytecode', + 'bytecodewalk', + 'cainv', + 'calendar', + 'calerf', + 'calfrq', + 'canon', + 'casc', + 'cat', + 'cat_code', + 'cb_m2sci_gui', + 'ccontrg', + 'cell', + 'cell2mat', + 'cellstr', + 'center', + 'cepstrum', + 'cfspec', + 'char', + 'chart', + 'cheb1mag', + 'cheb2mag', + 'check_gateways', + 'check_modules_xml', + 'check_versions', + 'chepol', + 'chfact', + 'chsolve', + 'classmarkov', + 'clean_help', + 'clock', + 'cls2dls', + 'cmb_lin', + 'cmndred', + 'cmoment', + 'coding_ga_binary', + 'coding_ga_identity', + 'coff', + 'coffg', + 'colcomp', + 'colcompr', + 'colinout', + 'colregul', + 'companion', + 'complex', + 'compute_initial_temp', + 'cond', + 'cond2sp', + 'condestsp', + 'configure_msifort', + 'configure_msvc', + 'conjgrad', + 'cont_frm', + 'cont_mat', + 'contrss', + 'conv', + 'convert_to_float', + 'convertindex', + 'convol', + 'convol2d', + 'copfac', + 'correl', + 'cosd', + 'cosh', + 'coshm', + 'cosm', + 'cotd', + 'cotg', + 'coth', + 'cothm', + 'cov', + 'covar', + 'createXConfiguration', + 'createfun', + 'createstruct', + 'cross', + 'crossover_ga_binary', + 'crossover_ga_default', + 'csc', + 'cscd', + 'csch', + 'csgn', + 'csim', + 'cspect', + 'ctr_gram', + 'czt', + 'dae', + 'daeoptions', + 'damp', + 'datafit', + 'date', + 'datenum', + 'datevec', + 'dbphi', + 'dcf', + 'ddp', + 'dec2bin', + 'dec2hex', + 'dec2oct', + 'del_help_chapter', + 'del_module_help_chapter', + 'demo_begin', + 'demo_choose', + 'demo_compiler', + 'demo_end', + 'demo_file_choice', + 'demo_folder_choice', + 'demo_function_choice', + 'demo_gui', + 'demo_run', + 'demo_viewCode', + 'denom', + 'derivat', + 'derivative', + 'des2ss', + 'des2tf', + 'detectmsifort64tools', + 'detectmsvc64tools', + 'determ', + 'detr', + 'detrend', + 'devtools_run_builder', + 'dhnorm', + 'diff', + 'diophant', + 'dir', + 'dirname', + 'dispfiles', + 'dllinfo', + 'dscr', + 'dsimul', + 'dt_ility', + 'dtsi', + 'edit', + 'edit_error', + 'editor', + 'eigenmarkov', + 'eigs', + 'ell1mag', + 'enlarge_shape', + 'entropy', + 'eomday', + 'epred', + 'eqfir', + 'eqiir', + 'equil', + 'equil1', + 'erfinv', + 'etime', + 'eval', + 'evans', + 'evstr', + 'example_run', + 'expression2code', + 'extract_help_examples', + 'factor', + 'factorial', + 'factors', + 'faurre', + 'ffilt', + 'fft2', + 'fftshift', + 'fieldnames', + 'filt_sinc', + 'filter', + 'findABCD', + 'findAC', + 'findBDK', + 'findR', + 'find_freq', + 'find_links', + 'find_scicos_version', + 'findm', + 'findmsifortcompiler', + 'findmsvccompiler', + 'findx0BD', + 'firstnonsingleton', + 'fix', + 'fixedpointgcd', + 'flipdim', + 'flts', + 'fminsearch', + 'formatBlackTip', + 'formatBodeMagTip', + 'formatBodePhaseTip', + 'formatGainplotTip', + 'formatHallModuleTip', + 'formatHallPhaseTip', + 'formatNicholsGainTip', + 'formatNicholsPhaseTip', + 'formatNyquistTip', + 'formatPhaseplotTip', + 'formatSgridDampingTip', + 'formatSgridFreqTip', + 'formatZgridDampingTip', + 'formatZgridFreqTip', + 'format_txt', + 'fourplan', + 'frep2tf', + 'freson', + 'frfit', + 'frmag', + 'fseek_origin', + 'fsfirlin', + 'fspec', + 'fspecg', + 'fstabst', + 'ftest', + 'ftuneq', + 'fullfile', + 'fullrf', + 'fullrfk', + 'fun2string', + 'g_margin', + 'gainplot', + 'gamitg', + 'gcare', + 'gcd', + 'gencompilationflags_unix', + 'generateBlockImage', + 'generateBlockImages', + 'generic_i_ce', + 'generic_i_h', + 'generic_i_hm', + 'generic_i_s', + 'generic_i_st', + 'genlib', + 'genmarkov', + 'geomean', + 'getDiagramVersion', + 'getModelicaPath', + 'getPreferencesValue', + 'get_file_path', + 'get_function_path', + 'get_param', + 'get_profile', + 'get_scicos_version', + 'getd', + 'getscilabkeywords', + 'getshell', + 'gettklib', + 'gfare', + 'gfrancis', + 'givens', + 'glever', + 'gmres', + 'group', + 'gschur', + 'gspec', + 'gtild', + 'h2norm', + 'h_cl', + 'h_inf', + 'h_inf_st', + 'h_norm', + 'hallchart', + 'halt', + 'hank', + 'hankelsv', + 'harmean', + 'haveacompiler', + 'head_comments', + 'help_from_sci', + 'help_skeleton', + 'hermit', + 'hex2dec', + 'hilb', + 'hilbert', + 'histc', + 'horner', + 'householder', + 'hrmt', + 'htrianr', + 'hypermat', + 'idct', + 'idst', + 'ifft', + 'ifftshift', + 'iir', + 'iirgroup', + 'iirlp', + 'iirmod', + 'ilib_build', + 'ilib_build_jar', + 'ilib_compile', + 'ilib_for_link', + 'ilib_gen_Make', + 'ilib_gen_Make_unix', + 'ilib_gen_cleaner', + 'ilib_gen_gateway', + 'ilib_gen_loader', + 'ilib_include_flag', + 'ilib_mex_build', + 'im_inv', + 'importScicosDiagram', + 'importScicosPal', + 'importXcosDiagram', + 'imrep2ss', + 'ind2sub', + 'inistate', + 'init_ga_default', + 'init_param', + 'initial_scicos_tables', + 'input', + 'instruction2code', + 'intc', + 'intdec', + 'integrate', + 'interp1', + 'interpln', + 'intersect', + 'intl', + 'intsplin', + 'inttrap', + 'inv_coeff', + 'invr', + 'invrs', + 'invsyslin', + 'iqr', + 'isLeapYear', + 'is_absolute_path', + 'is_param', + 'iscell', + 'iscellstr', + 'iscolumn', + 'isempty', + 'isfield', + 'isinf', + 'ismatrix', + 'isnan', + 'isrow', + 'isscalar', + 'issparse', + 'issquare', + 'isstruct', + 'isvector', + 'jmat', + 'justify', + 'kalm', + 'karmarkar', + 'kernel', + 'kpure', + 'krac2', + 'kroneck', + 'lattn', + 'lattp', + 'launchtest', + 'lcf', + 'lcm', + 'lcmdiag', + 'leastsq', + 'leqe', + 'leqr', + 'lev', + 'levin', + 'lex_sort', + 'lft', + 'lin', + 'lin2mu', + 'lincos', + 'lindquist', + 'linf', + 'linfn', + 'linsolve', + 'linspace', + 'list2vec', + 'list_param', + 'listfiles', + 'listfunctions', + 'listvarinfile', + 'lmisolver', + 'lmitool', + 'loadXcosLibs', + 'loadmatfile', + 'loadwave', + 'log10', + 'log2', + 'logm', + 'logspace', + 'lqe', + 'lqg', + 'lqg2stan', + 'lqg_ltr', + 'lqr', + 'ls', + 'lyap', + 'm2sci_gui', + 'm_circle', + 'macglov', + 'macrovar', + 'mad', + 'makecell', + 'manedit', + 'mapsound', + 'markp2ss', + 'matfile2sci', + 'mdelete', + 'mean', + 'meanf', + 'median', + 'members', + 'mese', + 'meshgrid', + 'mfft', + 'mfile2sci', + 'minreal', + 'minss', + 'mkdir', + 'modulo', + 'moment', + 'mrfit', + 'msd', + 'mstr2sci', + 'mtlb', + 'mtlb_0', + 'mtlb_a', + 'mtlb_all', + 'mtlb_any', + 'mtlb_axes', + 'mtlb_axis', + 'mtlb_beta', + 'mtlb_box', + 'mtlb_choices', + 'mtlb_close', + 'mtlb_colordef', + 'mtlb_cond', + 'mtlb_cov', + 'mtlb_cumprod', + 'mtlb_cumsum', + 'mtlb_dec2hex', + 'mtlb_delete', + 'mtlb_diag', + 'mtlb_diff', + 'mtlb_dir', + 'mtlb_double', + 'mtlb_e', + 'mtlb_echo', + 'mtlb_error', + 'mtlb_eval', + 'mtlb_exist', + 'mtlb_eye', + 'mtlb_false', + 'mtlb_fft', + 'mtlb_fftshift', + 'mtlb_filter', + 'mtlb_find', + 'mtlb_findstr', + 'mtlb_fliplr', + 'mtlb_fopen', + 'mtlb_format', + 'mtlb_fprintf', + 'mtlb_fread', + 'mtlb_fscanf', + 'mtlb_full', + 'mtlb_fwrite', + 'mtlb_get', + 'mtlb_grid', + 'mtlb_hold', + 'mtlb_i', + 'mtlb_ifft', + 'mtlb_image', + 'mtlb_imp', + 'mtlb_int16', + 'mtlb_int32', + 'mtlb_int8', + 'mtlb_is', + 'mtlb_isa', + 'mtlb_isfield', + 'mtlb_isletter', + 'mtlb_isspace', + 'mtlb_l', + 'mtlb_legendre', + 'mtlb_linspace', + 'mtlb_logic', + 'mtlb_logical', + 'mtlb_loglog', + 'mtlb_lower', + 'mtlb_max', + 'mtlb_mean', + 'mtlb_median', + 'mtlb_mesh', + 'mtlb_meshdom', + 'mtlb_min', + 'mtlb_more', + 'mtlb_num2str', + 'mtlb_ones', + 'mtlb_pcolor', + 'mtlb_plot', + 'mtlb_prod', + 'mtlb_qr', + 'mtlb_qz', + 'mtlb_rand', + 'mtlb_randn', + 'mtlb_rcond', + 'mtlb_realmax', + 'mtlb_realmin', + 'mtlb_s', + 'mtlb_semilogx', + 'mtlb_semilogy', + 'mtlb_setstr', + 'mtlb_size', + 'mtlb_sort', + 'mtlb_sortrows', + 'mtlb_sprintf', + 'mtlb_sscanf', + 'mtlb_std', + 'mtlb_strcmp', + 'mtlb_strcmpi', + 'mtlb_strfind', + 'mtlb_strrep', + 'mtlb_subplot', + 'mtlb_sum', + 'mtlb_t', + 'mtlb_toeplitz', + 'mtlb_tril', + 'mtlb_triu', + 'mtlb_true', + 'mtlb_type', + 'mtlb_uint16', + 'mtlb_uint32', + 'mtlb_uint8', + 'mtlb_upper', + 'mtlb_var', + 'mtlb_zeros', + 'mu2lin', + 'mutation_ga_binary', + 'mutation_ga_default', + 'mvcorrel', + 'mvvacov', + 'nancumsum', + 'nand2mean', + 'nanmax', + 'nanmean', + 'nanmeanf', + 'nanmedian', + 'nanmin', + 'nanreglin', + 'nanstdev', + 'nansum', + 'narsimul', + 'ndgrid', + 'ndims', + 'nehari', + 'neigh_func_csa', + 'neigh_func_default', + 'neigh_func_fsa', + 'neigh_func_vfsa', + 'neldermead_cget', + 'neldermead_configure', + 'neldermead_costf', + 'neldermead_defaultoutput', + 'neldermead_destroy', + 'neldermead_function', + 'neldermead_get', + 'neldermead_log', + 'neldermead_new', + 'neldermead_restart', + 'neldermead_search', + 'neldermead_updatesimp', + 'nextpow2', + 'nfreq', + 'nicholschart', + 'nlev', + 'nmplot_cget', + 'nmplot_configure', + 'nmplot_contour', + 'nmplot_destroy', + 'nmplot_function', + 'nmplot_get', + 'nmplot_historyplot', + 'nmplot_log', + 'nmplot_new', + 'nmplot_outputcmd', + 'nmplot_restart', + 'nmplot_search', + 'nmplot_simplexhistory', + 'noisegen', + 'nonreg_test_run', + 'now', + 'nthroot', + 'null', + 'num2cell', + 'numderivative', + 'numdiff', + 'numer', + 'nyquist', + 'nyquistfrequencybounds', + 'obs_gram', + 'obscont', + 'observer', + 'obsv_mat', + 'obsvss', + 'oct2dec', + 'odeoptions', + 'optim_ga', + 'optim_moga', + 'optim_nsga', + 'optim_nsga2', + 'optim_sa', + 'optimbase_cget', + 'optimbase_checkbounds', + 'optimbase_checkcostfun', + 'optimbase_checkx0', + 'optimbase_configure', + 'optimbase_destroy', + 'optimbase_function', + 'optimbase_get', + 'optimbase_hasbounds', + 'optimbase_hasconstraints', + 'optimbase_hasnlcons', + 'optimbase_histget', + 'optimbase_histset', + 'optimbase_incriter', + 'optimbase_isfeasible', + 'optimbase_isinbounds', + 'optimbase_isinnonlincons', + 'optimbase_log', + 'optimbase_logshutdown', + 'optimbase_logstartup', + 'optimbase_new', + 'optimbase_outputcmd', + 'optimbase_outstruct', + 'optimbase_proj2bnds', + 'optimbase_set', + 'optimbase_stoplog', + 'optimbase_terminate', + 'optimget', + 'optimplotfunccount', + 'optimplotfval', + 'optimplotx', + 'optimset', + 'optimsimplex_center', + 'optimsimplex_check', + 'optimsimplex_compsomefv', + 'optimsimplex_computefv', + 'optimsimplex_deltafv', + 'optimsimplex_deltafvmax', + 'optimsimplex_destroy', + 'optimsimplex_dirmat', + 'optimsimplex_fvmean', + 'optimsimplex_fvstdev', + 'optimsimplex_fvvariance', + 'optimsimplex_getall', + 'optimsimplex_getallfv', + 'optimsimplex_getallx', + 'optimsimplex_getfv', + 'optimsimplex_getn', + 'optimsimplex_getnbve', + 'optimsimplex_getve', + 'optimsimplex_getx', + 'optimsimplex_gradientfv', + 'optimsimplex_log', + 'optimsimplex_new', + 'optimsimplex_reflect', + 'optimsimplex_setall', + 'optimsimplex_setallfv', + 'optimsimplex_setallx', + 'optimsimplex_setfv', + 'optimsimplex_setn', + 'optimsimplex_setnbve', + 'optimsimplex_setve', + 'optimsimplex_setx', + 'optimsimplex_shrink', + 'optimsimplex_size', + 'optimsimplex_sort', + 'optimsimplex_xbar', + 'orth', + 'output_ga_default', + 'output_moga_default', + 'output_nsga2_default', + 'output_nsga_default', + 'p_margin', + 'pack', + 'pareto_filter', + 'parrot', + 'pbig', + 'pca', + 'pcg', + 'pdiv', + 'pen2ea', + 'pencan', + 'pencost', + 'penlaur', + 'perctl', + 'perl', + 'perms', + 'permute', + 'pertrans', + 'pfactors', + 'pfss', + 'phasemag', + 'phaseplot', + 'phc', + 'pinv', + 'playsnd', + 'plotprofile', + 'plzr', + 'pmodulo', + 'pol2des', + 'pol2str', + 'polar', + 'polfact', + 'prbs_a', + 'prettyprint', + 'primes', + 'princomp', + 'profile', + 'proj', + 'projsl', + 'projspec', + 'psmall', + 'pspect', + 'qmr', + 'qpsolve', + 'quart', + 'quaskro', + 'rafiter', + 'randpencil', + 'range', + 'rank', + 'readxls', + 'recompilefunction', + 'recons', + 'reglin', + 'regress', + 'remezb', + 'remove_param', + 'remove_profiling', + 'repfreq', + 'replace_Ix_by_Fx', + 'repmat', + 'reset_profiling', + 'resize_matrix', + 'returntoscilab', + 'rhs2code', + 'ric_desc', + 'riccati', + 'rmdir', + 'routh_t', + 'rowcomp', + 'rowcompr', + 'rowinout', + 'rowregul', + 'rowshuff', + 'rref', + 'sample', + 'samplef', + 'samwr', + 'savematfile', + 'savewave', + 'scanf', + 'sci2exp', + 'sciGUI_init', + 'sci_sparse', + 'scicos_getvalue', + 'scicos_simulate', + 'scicos_workspace_init', + 'scisptdemo', + 'scitest', + 'sdiff', + 'sec', + 'secd', + 'sech', + 'selection_ga_elitist', + 'selection_ga_random', + 'sensi', + 'setPreferencesValue', + 'set_param', + 'setdiff', + 'sgrid', + 'show_margins', + 'show_pca', + 'showprofile', + 'signm', + 'sinc', + 'sincd', + 'sind', + 'sinh', + 'sinhm', + 'sinm', + 'sm2des', + 'sm2ss', + 'smga', + 'smooth', + 'solve', + 'sound', + 'soundsec', + 'sp2adj', + 'spaninter', + 'spanplus', + 'spantwo', + 'specfact', + 'speye', + 'sprand', + 'spzeros', + 'sqroot', + 'sqrtm', + 'squarewave', + 'squeeze', + 'srfaur', + 'srkf', + 'ss2des', + 'ss2ss', + 'ss2tf', + 'sskf', + 'ssprint', + 'ssrand', + 'st_deviation', + 'st_i_generic', + 'st_ility', + 'stabil', + 'statgain', + 'stdev', + 'stdevf', + 'steadycos', + 'strange', + 'strcmpi', + 'struct', + 'sub2ind', + 'sva', + 'svplot', + 'sylm', + 'sylv', + 'sysconv', + 'sysdiag', + 'sysfact', + 'syslin', + 'syssize', + 'system', + 'systmat', + 'tabul', + 'tand', + 'tanh', + 'tanhm', + 'tanm', + 'tbx_build_blocks', + 'tbx_build_cleaner', + 'tbx_build_gateway', + 'tbx_build_gateway_clean', + 'tbx_build_gateway_loader', + 'tbx_build_help', + 'tbx_build_help_loader', + 'tbx_build_loader', + 'tbx_build_localization', + 'tbx_build_macros', + 'tbx_build_pal_loader', + 'tbx_build_src', + 'tbx_builder', + 'tbx_builder_gateway', + 'tbx_builder_gateway_lang', + 'tbx_builder_help', + 'tbx_builder_help_lang', + 'tbx_builder_macros', + 'tbx_builder_src', + 'tbx_builder_src_lang', + 'tbx_generate_pofile', + 'temp_law_csa', + 'temp_law_default', + 'temp_law_fsa', + 'temp_law_huang', + 'temp_law_vfsa', + 'test_clean', + 'test_on_columns', + 'test_run', + 'test_run_level', + 'testexamples', + 'tf2des', + 'tf2ss', + 'thrownan', + 'tic', + 'time_id', + 'toc', + 'toeplitz', + 'tokenpos', + 'toolboxes', + 'trace', + 'trans', + 'translatepaths', + 'tree2code', + 'trfmod', + 'trianfml', + 'trimmean', + 'trisolve', + 'trzeros', + 'typeof', + 'ui_observer', + 'union', + 'unique', + 'unit_test_run', + 'unix_g', + 'unix_s', + 'unix_w', + 'unix_x', + 'unobs', + 'unpack', + 'unwrap', + 'variance', + 'variancef', + 'vec2list', + 'vectorfind', + 'ver', + 'warnobsolete', + 'wavread', + 'wavwrite', + 'wcenter', + 'weekday', + 'wfir', + 'wfir_gui', + 'whereami', + 'who_user', + 'whos', + 'wiener', + 'wigner', + 'window', + 'winlist', + 'with_javasci', + 'with_macros_source', + 'with_modelica_compiler', + 'with_tk', + 'xcorr', + 'xcosBlockEval', + 'xcosBlockInterface', + 'xcosCodeGeneration', + 'xcosConfigureModelica', + 'xcosPal', + 'xcosPalAdd', + 'xcosPalAddBlock', + 'xcosPalExport', + 'xcosPalGenerateAllIcons', + 'xcosShowBlockWarning', + 'xcosValidateBlockSet', + 'xcosValidateCompareBlock', + 'xcos_compile', + 'xcos_debug_gui', + 'xcos_run', + 'xcos_simulate', + 'xcov', + 'xmltochm', + 'xmltoformat', + 'xmltohtml', + 'xmltojar', + 'xmltopdf', + 'xmltops', + 'xmltoweb', + 'yulewalk', + 'zeropen', + 'zgrid', + 'zpbutt', + 'zpch1', + 'zpch2', + 'zpell', +) + +variables_kw = ( + '$', + '%F', + '%T', + '%e', + '%eps', + '%f', + '%fftw', + '%gui', + '%i', + '%inf', + '%io', + '%modalWarning', + '%nan', + '%pi', + '%s', + '%t', + '%tk', + '%toolboxes', + '%toolboxes_dir', + '%z', + 'PWD', + 'SCI', + 'SCIHOME', + 'TMPDIR', + 'arnoldilib', + 'assertlib', + 'atomslib', + 'cacsdlib', + 'compatibility_functilib', + 'corelib', + 'data_structureslib', + 'demo_toolslib', + 'development_toolslib', + 'differential_equationlib', + 'dynamic_linklib', + 'elementary_functionslib', + 'enull', + 'evoid', + 'external_objectslib', + 'fd', + 'fileiolib', + 'functionslib', + 'genetic_algorithmslib', + 'helptoolslib', + 'home', + 'integerlib', + 'interpolationlib', + 'iolib', + 'jnull', + 'jvoid', + 'linear_algebralib', + 'm2scilib', + 'matiolib', + 'modules_managerlib', + 'neldermeadlib', + 'optimbaselib', + 'optimizationlib', + 'optimsimplexlib', + 'output_streamlib', + 'overloadinglib', + 'parameterslib', + 'polynomialslib', + 'preferenceslib', + 'randliblib', + 'scicos_autolib', + 'scicos_utilslib', + 'scinoteslib', + 'signal_processinglib', + 'simulated_annealinglib', + 'soundlib', + 'sparselib', + 'special_functionslib', + 'spreadsheetlib', + 'statisticslib', + 'stringlib', + 'tclscilib', + 'timelib', + 'umfpacklib', + 'xcoslib', +) + + +if __name__ == '__main__': # pragma: no cover + import subprocess + from pygments.util import format_lines, duplicates_removed + + mapping = {'variables': 'builtin'} + + def extract_completion(var_type): + s = subprocess.Popen(['scilab', '-nwni'], stdin=subprocess.PIPE, + stdout=subprocess.PIPE, stderr=subprocess.PIPE) + output = s.communicate('''\ +fd = mopen("/dev/stderr", "wt"); +mputl(strcat(completion("", "%s"), "||"), fd); +mclose(fd)\n''' % var_type) + if '||' not in output[1]: + raise Exception(output[0]) + # Invalid DISPLAY causes this to be output: + text = output[1].strip() + if text.startswith('Error: unable to open display \n'): + text = text[len('Error: unable to open display \n'):] + return text.split('||') + + new_data = {} + seen = set() # only keep first type for a given word + for t in ('functions', 'commands', 'macros', 'variables'): + new_data[t] = duplicates_removed(extract_completion(t), seen) + seen.update(set(new_data[t])) + + + with open(__file__) as f: + content = f.read() + + header = content[:content.find('# Autogenerated')] + footer = content[content.find("if __name__ == '__main__':"):] + + with open(__file__, 'w') as f: + f.write(header) + f.write('# Autogenerated\n\n') + for k, v in sorted(new_data.iteritems()): + f.write(format_lines(k + '_kw', v) + '\n\n') + f.write(footer) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_sourcemod_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_sourcemod_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..f08ea4817c9047dd5fc11c181ffc8cea7ae49522 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_sourcemod_builtins.py @@ -0,0 +1,1163 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._sourcemod_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + This file contains the names of SourceMod functions. + It is able to re-generate itself. + + Do not edit the FUNCTIONS list by hand. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from __future__ import print_function + +FUNCTIONS = ( + 'OnEntityCreated', + 'OnEntityDestroyed', + 'OnGetGameDescription', + 'OnLevelInit', + 'SDKHook', + 'SDKHookEx', + 'SDKUnhook', + 'SDKHooks_TakeDamage', + 'SDKHooks_DropWeapon', + 'TopMenuHandler', + 'CreateTopMenu', + 'LoadTopMenuConfig', + 'AddToTopMenu', + 'GetTopMenuInfoString', + 'GetTopMenuObjName', + 'RemoveFromTopMenu', + 'DisplayTopMenu', + 'DisplayTopMenuCategory', + 'FindTopMenuCategory', + 'SetTopMenuTitleCaching', + 'OnAdminMenuCreated', + 'OnAdminMenuReady', + 'GetAdminTopMenu', + 'AddTargetsToMenu', + 'AddTargetsToMenu2', + 'RedisplayAdminMenu', + 'TEHook', + 'AddTempEntHook', + 'RemoveTempEntHook', + 'TE_Start', + 'TE_IsValidProp', + 'TE_WriteNum', + 'TE_ReadNum', + 'TE_WriteFloat', + 'TE_ReadFloat', + 'TE_WriteVector', + 'TE_ReadVector', + 'TE_WriteAngles', + 'TE_WriteFloatArray', + 'TE_Send', + 'TE_WriteEncodedEnt', + 'TE_SendToAll', + 'TE_SendToClient', + 'CreateKeyValues', + 'KvSetString', + 'KvSetNum', + 'KvSetUInt64', + 'KvSetFloat', + 'KvSetColor', + 'KvSetVector', + 'KvGetString', + 'KvGetNum', + 'KvGetFloat', + 'KvGetColor', + 'KvGetUInt64', + 'KvGetVector', + 'KvJumpToKey', + 'KvJumpToKeySymbol', + 'KvGotoFirstSubKey', + 'KvGotoNextKey', + 'KvSavePosition', + 'KvDeleteKey', + 'KvDeleteThis', + 'KvGoBack', + 'KvRewind', + 'KvGetSectionName', + 'KvSetSectionName', + 'KvGetDataType', + 'KeyValuesToFile', + 'FileToKeyValues', + 'StringToKeyValues', + 'KvSetEscapeSequences', + 'KvNodesInStack', + 'KvCopySubkeys', + 'KvFindKeyById', + 'KvGetNameSymbol', + 'KvGetSectionSymbol', + 'TE_SetupSparks', + 'TE_SetupSmoke', + 'TE_SetupDust', + 'TE_SetupMuzzleFlash', + 'TE_SetupMetalSparks', + 'TE_SetupEnergySplash', + 'TE_SetupArmorRicochet', + 'TE_SetupGlowSprite', + 'TE_SetupExplosion', + 'TE_SetupBloodSprite', + 'TE_SetupBeamRingPoint', + 'TE_SetupBeamPoints', + 'TE_SetupBeamLaser', + 'TE_SetupBeamRing', + 'TE_SetupBeamFollow', + 'HookEvent', + 'HookEventEx', + 'UnhookEvent', + 'CreateEvent', + 'FireEvent', + 'CancelCreatedEvent', + 'GetEventBool', + 'SetEventBool', + 'GetEventInt', + 'SetEventInt', + 'GetEventFloat', + 'SetEventFloat', + 'GetEventString', + 'SetEventString', + 'GetEventName', + 'SetEventBroadcast', + 'GetUserMessageType', + 'GetUserMessageId', + 'GetUserMessageName', + 'StartMessage', + 'StartMessageEx', + 'EndMessage', + 'MsgHook', + 'MsgPostHook', + 'HookUserMessage', + 'UnhookUserMessage', + 'StartMessageAll', + 'StartMessageOne', + 'InactivateClient', + 'ReconnectClient', + 'GetMaxEntities', + 'GetEntityCount', + 'IsValidEntity', + 'IsValidEdict', + 'IsEntNetworkable', + 'CreateEdict', + 'RemoveEdict', + 'GetEdictFlags', + 'SetEdictFlags', + 'GetEdictClassname', + 'GetEntityNetClass', + 'ChangeEdictState', + 'GetEntData', + 'SetEntData', + 'GetEntDataFloat', + 'SetEntDataFloat', + 'GetEntDataEnt2', + 'SetEntDataEnt2', + 'GetEntDataVector', + 'SetEntDataVector', + 'GetEntDataString', + 'SetEntDataString', + 'FindSendPropOffs', + 'FindSendPropInfo', + 'FindDataMapOffs', + 'FindDataMapInfo', + 'GetEntSendPropOffs', + 'GetEntProp', + 'SetEntProp', + 'GetEntPropFloat', + 'SetEntPropFloat', + 'GetEntPropEnt', + 'SetEntPropEnt', + 'GetEntPropVector', + 'SetEntPropVector', + 'GetEntPropString', + 'SetEntPropString', + 'GetEntPropArraySize', + 'GetEntDataArray', + 'SetEntDataArray', + 'GetEntityAddress', + 'GetEntityClassname', + 'float', + 'FloatMul', + 'FloatDiv', + 'FloatAdd', + 'FloatSub', + 'FloatFraction', + 'RoundToZero', + 'RoundToCeil', + 'RoundToFloor', + 'RoundToNearest', + 'FloatCompare', + 'SquareRoot', + 'Pow', + 'Exponential', + 'Logarithm', + 'Sine', + 'Cosine', + 'Tangent', + 'FloatAbs', + 'ArcTangent', + 'ArcCosine', + 'ArcSine', + 'ArcTangent2', + 'RoundFloat', + 'operator%', + 'DegToRad', + 'RadToDeg', + 'GetURandomInt', + 'GetURandomFloat', + 'SetURandomSeed', + 'SetURandomSeedSimple', + 'RemovePlayerItem', + 'GivePlayerItem', + 'GetPlayerWeaponSlot', + 'IgniteEntity', + 'ExtinguishEntity', + 'TeleportEntity', + 'ForcePlayerSuicide', + 'SlapPlayer', + 'FindEntityByClassname', + 'GetClientEyeAngles', + 'CreateEntityByName', + 'DispatchSpawn', + 'DispatchKeyValue', + 'DispatchKeyValueFloat', + 'DispatchKeyValueVector', + 'GetClientAimTarget', + 'GetTeamCount', + 'GetTeamName', + 'GetTeamScore', + 'SetTeamScore', + 'GetTeamClientCount', + 'SetEntityModel', + 'GetPlayerDecalFile', + 'GetPlayerJingleFile', + 'GetServerNetStats', + 'EquipPlayerWeapon', + 'ActivateEntity', + 'SetClientInfo', + 'GivePlayerAmmo', + 'SetClientListeningFlags', + 'GetClientListeningFlags', + 'SetListenOverride', + 'GetListenOverride', + 'IsClientMuted', + 'TR_GetPointContents', + 'TR_GetPointContentsEnt', + 'TR_TraceRay', + 'TR_TraceHull', + 'TR_TraceRayFilter', + 'TR_TraceHullFilter', + 'TR_TraceRayEx', + 'TR_TraceHullEx', + 'TR_TraceRayFilterEx', + 'TR_TraceHullFilterEx', + 'TR_GetFraction', + 'TR_GetEndPosition', + 'TR_GetEntityIndex', + 'TR_DidHit', + 'TR_GetHitGroup', + 'TR_GetPlaneNormal', + 'TR_PointOutsideWorld', + 'SortIntegers', + 'SortFloats', + 'SortStrings', + 'SortFunc1D', + 'SortCustom1D', + 'SortCustom2D', + 'SortADTArray', + 'SortFuncADTArray', + 'SortADTArrayCustom', + 'CompileRegex', + 'MatchRegex', + 'GetRegexSubString', + 'SimpleRegexMatch', + 'TF2_GetPlayerClass', + 'TF2_SetPlayerClass', + 'TF2_RemoveWeaponSlot', + 'TF2_RemoveAllWeapons', + 'TF2_IsPlayerInCondition', + 'TF2_GetObjectType', + 'TF2_GetObjectMode', + 'NominateMap', + 'RemoveNominationByMap', + 'RemoveNominationByOwner', + 'GetExcludeMapList', + 'GetNominatedMapList', + 'CanMapChooserStartVote', + 'InitiateMapChooserVote', + 'HasEndOfMapVoteFinished', + 'EndOfMapVoteEnabled', + 'OnNominationRemoved', + 'OnMapVoteStarted', + 'CreateTimer', + 'KillTimer', + 'TriggerTimer', + 'GetTickedTime', + 'GetMapTimeLeft', + 'GetMapTimeLimit', + 'ExtendMapTimeLimit', + 'GetTickInterval', + 'OnMapTimeLeftChanged', + 'IsServerProcessing', + 'CreateDataTimer', + 'ByteCountToCells', + 'CreateArray', + 'ClearArray', + 'CloneArray', + 'ResizeArray', + 'GetArraySize', + 'PushArrayCell', + 'PushArrayString', + 'PushArrayArray', + 'GetArrayCell', + 'GetArrayString', + 'GetArrayArray', + 'SetArrayCell', + 'SetArrayString', + 'SetArrayArray', + 'ShiftArrayUp', + 'RemoveFromArray', + 'SwapArrayItems', + 'FindStringInArray', + 'FindValueInArray', + 'ProcessTargetString', + 'ReplyToTargetError', + 'MultiTargetFilter', + 'AddMultiTargetFilter', + 'RemoveMultiTargetFilter', + 'OnBanClient', + 'OnBanIdentity', + 'OnRemoveBan', + 'BanClient', + 'BanIdentity', + 'RemoveBan', + 'CreateTrie', + 'SetTrieValue', + 'SetTrieArray', + 'SetTrieString', + 'GetTrieValue', + 'GetTrieArray', + 'GetTrieString', + 'RemoveFromTrie', + 'ClearTrie', + 'GetTrieSize', + 'GetFunctionByName', + 'CreateGlobalForward', + 'CreateForward', + 'GetForwardFunctionCount', + 'AddToForward', + 'RemoveFromForward', + 'RemoveAllFromForward', + 'Call_StartForward', + 'Call_StartFunction', + 'Call_PushCell', + 'Call_PushCellRef', + 'Call_PushFloat', + 'Call_PushFloatRef', + 'Call_PushArray', + 'Call_PushArrayEx', + 'Call_PushString', + 'Call_PushStringEx', + 'Call_Finish', + 'Call_Cancel', + 'NativeCall', + 'CreateNative', + 'ThrowNativeError', + 'GetNativeStringLength', + 'GetNativeString', + 'SetNativeString', + 'GetNativeCell', + 'GetNativeCellRef', + 'SetNativeCellRef', + 'GetNativeArray', + 'SetNativeArray', + 'FormatNativeString', + 'RequestFrameCallback', + 'RequestFrame', + 'OnRebuildAdminCache', + 'DumpAdminCache', + 'AddCommandOverride', + 'GetCommandOverride', + 'UnsetCommandOverride', + 'CreateAdmGroup', + 'FindAdmGroup', + 'SetAdmGroupAddFlag', + 'GetAdmGroupAddFlag', + 'GetAdmGroupAddFlags', + 'SetAdmGroupImmuneFrom', + 'GetAdmGroupImmuneCount', + 'GetAdmGroupImmuneFrom', + 'AddAdmGroupCmdOverride', + 'GetAdmGroupCmdOverride', + 'RegisterAuthIdentType', + 'CreateAdmin', + 'GetAdminUsername', + 'BindAdminIdentity', + 'SetAdminFlag', + 'GetAdminFlag', + 'GetAdminFlags', + 'AdminInheritGroup', + 'GetAdminGroupCount', + 'GetAdminGroup', + 'SetAdminPassword', + 'GetAdminPassword', + 'FindAdminByIdentity', + 'RemoveAdmin', + 'FlagBitsToBitArray', + 'FlagBitArrayToBits', + 'FlagArrayToBits', + 'FlagBitsToArray', + 'FindFlagByName', + 'FindFlagByChar', + 'FindFlagChar', + 'ReadFlagString', + 'CanAdminTarget', + 'CreateAuthMethod', + 'SetAdmGroupImmunityLevel', + 'GetAdmGroupImmunityLevel', + 'SetAdminImmunityLevel', + 'GetAdminImmunityLevel', + 'FlagToBit', + 'BitToFlag', + 'ServerCommand', + 'ServerCommandEx', + 'InsertServerCommand', + 'ServerExecute', + 'ClientCommand', + 'FakeClientCommand', + 'FakeClientCommandEx', + 'PrintToServer', + 'PrintToConsole', + 'ReplyToCommand', + 'GetCmdReplySource', + 'SetCmdReplySource', + 'IsChatTrigger', + 'ShowActivity2', + 'ShowActivity', + 'ShowActivityEx', + 'FormatActivitySource', + 'SrvCmd', + 'RegServerCmd', + 'ConCmd', + 'RegConsoleCmd', + 'RegAdminCmd', + 'GetCmdArgs', + 'GetCmdArg', + 'GetCmdArgString', + 'CreateConVar', + 'FindConVar', + 'ConVarChanged', + 'HookConVarChange', + 'UnhookConVarChange', + 'GetConVarBool', + 'SetConVarBool', + 'GetConVarInt', + 'SetConVarInt', + 'GetConVarFloat', + 'SetConVarFloat', + 'GetConVarString', + 'SetConVarString', + 'ResetConVar', + 'GetConVarDefault', + 'GetConVarFlags', + 'SetConVarFlags', + 'GetConVarBounds', + 'SetConVarBounds', + 'GetConVarName', + 'QueryClientConVar', + 'GetCommandIterator', + 'ReadCommandIterator', + 'CheckCommandAccess', + 'CheckAccess', + 'IsValidConVarChar', + 'GetCommandFlags', + 'SetCommandFlags', + 'FindFirstConCommand', + 'FindNextConCommand', + 'SendConVarValue', + 'AddServerTag', + 'RemoveServerTag', + 'CommandListener', + 'AddCommandListener', + 'RemoveCommandListener', + 'CommandExists', + 'OnClientSayCommand', + 'OnClientSayCommand_Post', + 'TF2_IgnitePlayer', + 'TF2_RespawnPlayer', + 'TF2_RegeneratePlayer', + 'TF2_AddCondition', + 'TF2_RemoveCondition', + 'TF2_SetPlayerPowerPlay', + 'TF2_DisguisePlayer', + 'TF2_RemovePlayerDisguise', + 'TF2_StunPlayer', + 'TF2_MakeBleed', + 'TF2_GetClass', + 'TF2_CalcIsAttackCritical', + 'TF2_OnIsHolidayActive', + 'TF2_IsHolidayActive', + 'TF2_IsPlayerInDuel', + 'TF2_RemoveWearable', + 'TF2_OnConditionAdded', + 'TF2_OnConditionRemoved', + 'TF2_OnWaitingForPlayersStart', + 'TF2_OnWaitingForPlayersEnd', + 'TF2_OnPlayerTeleport', + 'SQL_Connect', + 'SQL_DefConnect', + 'SQL_ConnectCustom', + 'SQLite_UseDatabase', + 'SQL_CheckConfig', + 'SQL_GetDriver', + 'SQL_ReadDriver', + 'SQL_GetDriverIdent', + 'SQL_GetDriverProduct', + 'SQL_SetCharset', + 'SQL_GetAffectedRows', + 'SQL_GetInsertId', + 'SQL_GetError', + 'SQL_EscapeString', + 'SQL_QuoteString', + 'SQL_FastQuery', + 'SQL_Query', + 'SQL_PrepareQuery', + 'SQL_FetchMoreResults', + 'SQL_HasResultSet', + 'SQL_GetRowCount', + 'SQL_GetFieldCount', + 'SQL_FieldNumToName', + 'SQL_FieldNameToNum', + 'SQL_FetchRow', + 'SQL_MoreRows', + 'SQL_Rewind', + 'SQL_FetchString', + 'SQL_FetchFloat', + 'SQL_FetchInt', + 'SQL_IsFieldNull', + 'SQL_FetchSize', + 'SQL_BindParamInt', + 'SQL_BindParamFloat', + 'SQL_BindParamString', + 'SQL_Execute', + 'SQL_LockDatabase', + 'SQL_UnlockDatabase', + 'SQLTCallback', + 'SQL_IsSameConnection', + 'SQL_TConnect', + 'SQL_TQuery', + 'SQL_CreateTransaction', + 'SQL_AddQuery', + 'SQLTxnSuccess', + 'SQLTxnFailure', + 'SQL_ExecuteTransaction', + 'CloseHandle', + 'CloneHandle', + 'MenuHandler', + 'CreateMenu', + 'DisplayMenu', + 'DisplayMenuAtItem', + 'AddMenuItem', + 'InsertMenuItem', + 'RemoveMenuItem', + 'RemoveAllMenuItems', + 'GetMenuItem', + 'GetMenuSelectionPosition', + 'GetMenuItemCount', + 'SetMenuPagination', + 'GetMenuPagination', + 'GetMenuStyle', + 'SetMenuTitle', + 'GetMenuTitle', + 'CreatePanelFromMenu', + 'GetMenuExitButton', + 'SetMenuExitButton', + 'GetMenuExitBackButton', + 'SetMenuExitBackButton', + 'SetMenuNoVoteButton', + 'CancelMenu', + 'GetMenuOptionFlags', + 'SetMenuOptionFlags', + 'IsVoteInProgress', + 'CancelVote', + 'VoteMenu', + 'VoteMenuToAll', + 'VoteHandler', + 'SetVoteResultCallback', + 'CheckVoteDelay', + 'IsClientInVotePool', + 'RedrawClientVoteMenu', + 'GetMenuStyleHandle', + 'CreatePanel', + 'CreateMenuEx', + 'GetClientMenu', + 'CancelClientMenu', + 'GetMaxPageItems', + 'GetPanelStyle', + 'SetPanelTitle', + 'DrawPanelItem', + 'DrawPanelText', + 'CanPanelDrawFlags', + 'SetPanelKeys', + 'SendPanelToClient', + 'GetPanelTextRemaining', + 'GetPanelCurrentKey', + 'SetPanelCurrentKey', + 'RedrawMenuItem', + 'InternalShowMenu', + 'GetMenuVoteInfo', + 'IsNewVoteAllowed', + 'PrefetchSound', + 'EmitAmbientSound', + 'FadeClientVolume', + 'StopSound', + 'EmitSound', + 'EmitSentence', + 'GetDistGainFromSoundLevel', + 'AmbientSHook', + 'NormalSHook', + 'AddAmbientSoundHook', + 'AddNormalSoundHook', + 'RemoveAmbientSoundHook', + 'RemoveNormalSoundHook', + 'EmitSoundToClient', + 'EmitSoundToAll', + 'ATTN_TO_SNDLEVEL', + 'GetGameSoundParams', + 'EmitGameSound', + 'EmitAmbientGameSound', + 'EmitGameSoundToClient', + 'EmitGameSoundToAll', + 'PrecacheScriptSound', + 'strlen', + 'StrContains', + 'strcmp', + 'strncmp', + 'StrEqual', + 'strcopy', + 'Format', + 'FormatEx', + 'VFormat', + 'StringToInt', + 'StringToIntEx', + 'IntToString', + 'StringToFloat', + 'StringToFloatEx', + 'FloatToString', + 'BreakString', + 'TrimString', + 'SplitString', + 'ReplaceString', + 'ReplaceStringEx', + 'GetCharBytes', + 'IsCharAlpha', + 'IsCharNumeric', + 'IsCharSpace', + 'IsCharMB', + 'IsCharUpper', + 'IsCharLower', + 'StripQuotes', + 'CharToUpper', + 'CharToLower', + 'FindCharInString', + 'StrCat', + 'ExplodeString', + 'ImplodeStrings', + 'GetVectorLength', + 'GetVectorDistance', + 'GetVectorDotProduct', + 'GetVectorCrossProduct', + 'NormalizeVector', + 'GetAngleVectors', + 'GetVectorAngles', + 'GetVectorVectors', + 'AddVectors', + 'SubtractVectors', + 'ScaleVector', + 'NegateVector', + 'MakeVectorFromPoints', + 'BaseComm_IsClientGagged', + 'BaseComm_IsClientMuted', + 'BaseComm_SetClientGag', + 'BaseComm_SetClientMute', + 'FormatUserLogText', + 'FindPluginByFile', + 'FindTarget', + 'AcceptEntityInput', + 'SetVariantBool', + 'SetVariantString', + 'SetVariantInt', + 'SetVariantFloat', + 'SetVariantVector3D', + 'SetVariantPosVector3D', + 'SetVariantColor', + 'SetVariantEntity', + 'GameRules_GetProp', + 'GameRules_SetProp', + 'GameRules_GetPropFloat', + 'GameRules_SetPropFloat', + 'GameRules_GetPropEnt', + 'GameRules_SetPropEnt', + 'GameRules_GetPropVector', + 'GameRules_SetPropVector', + 'GameRules_GetPropString', + 'GameRules_SetPropString', + 'GameRules_GetRoundState', + 'OnClientConnect', + 'OnClientConnected', + 'OnClientPutInServer', + 'OnClientDisconnect', + 'OnClientDisconnect_Post', + 'OnClientCommand', + 'OnClientSettingsChanged', + 'OnClientAuthorized', + 'OnClientPreAdminCheck', + 'OnClientPostAdminFilter', + 'OnClientPostAdminCheck', + 'GetMaxClients', + 'GetMaxHumanPlayers', + 'GetClientCount', + 'GetClientName', + 'GetClientIP', + 'GetClientAuthString', + 'GetClientAuthId', + 'GetSteamAccountID', + 'GetClientUserId', + 'IsClientConnected', + 'IsClientInGame', + 'IsClientInKickQueue', + 'IsClientAuthorized', + 'IsFakeClient', + 'IsClientSourceTV', + 'IsClientReplay', + 'IsClientObserver', + 'IsPlayerAlive', + 'GetClientInfo', + 'GetClientTeam', + 'SetUserAdmin', + 'GetUserAdmin', + 'AddUserFlags', + 'RemoveUserFlags', + 'SetUserFlagBits', + 'GetUserFlagBits', + 'CanUserTarget', + 'RunAdminCacheChecks', + 'NotifyPostAdminCheck', + 'CreateFakeClient', + 'SetFakeClientConVar', + 'GetClientHealth', + 'GetClientModel', + 'GetClientWeapon', + 'GetClientMaxs', + 'GetClientMins', + 'GetClientAbsAngles', + 'GetClientAbsOrigin', + 'GetClientArmor', + 'GetClientDeaths', + 'GetClientFrags', + 'GetClientDataRate', + 'IsClientTimingOut', + 'GetClientTime', + 'GetClientLatency', + 'GetClientAvgLatency', + 'GetClientAvgLoss', + 'GetClientAvgChoke', + 'GetClientAvgData', + 'GetClientAvgPackets', + 'GetClientOfUserId', + 'KickClient', + 'KickClientEx', + 'ChangeClientTeam', + 'GetClientSerial', + 'GetClientFromSerial', + 'FindStringTable', + 'GetNumStringTables', + 'GetStringTableNumStrings', + 'GetStringTableMaxStrings', + 'GetStringTableName', + 'FindStringIndex', + 'ReadStringTable', + 'GetStringTableDataLength', + 'GetStringTableData', + 'SetStringTableData', + 'AddToStringTable', + 'LockStringTables', + 'AddFileToDownloadsTable', + 'GetEntityFlags', + 'SetEntityFlags', + 'GetEntityMoveType', + 'SetEntityMoveType', + 'GetEntityRenderMode', + 'SetEntityRenderMode', + 'GetEntityRenderFx', + 'SetEntityRenderFx', + 'SetEntityRenderColor', + 'GetEntityGravity', + 'SetEntityGravity', + 'SetEntityHealth', + 'GetClientButtons', + 'EntityOutput', + 'HookEntityOutput', + 'UnhookEntityOutput', + 'HookSingleEntityOutput', + 'UnhookSingleEntityOutput', + 'SMC_CreateParser', + 'SMC_ParseFile', + 'SMC_GetErrorString', + 'SMC_ParseStart', + 'SMC_SetParseStart', + 'SMC_ParseEnd', + 'SMC_SetParseEnd', + 'SMC_NewSection', + 'SMC_KeyValue', + 'SMC_EndSection', + 'SMC_SetReaders', + 'SMC_RawLine', + 'SMC_SetRawLine', + 'BfWriteBool', + 'BfWriteByte', + 'BfWriteChar', + 'BfWriteShort', + 'BfWriteWord', + 'BfWriteNum', + 'BfWriteFloat', + 'BfWriteString', + 'BfWriteEntity', + 'BfWriteAngle', + 'BfWriteCoord', + 'BfWriteVecCoord', + 'BfWriteVecNormal', + 'BfWriteAngles', + 'BfReadBool', + 'BfReadByte', + 'BfReadChar', + 'BfReadShort', + 'BfReadWord', + 'BfReadNum', + 'BfReadFloat', + 'BfReadString', + 'BfReadEntity', + 'BfReadAngle', + 'BfReadCoord', + 'BfReadVecCoord', + 'BfReadVecNormal', + 'BfReadAngles', + 'BfGetNumBytesLeft', + 'CreateProfiler', + 'StartProfiling', + 'StopProfiling', + 'GetProfilerTime', + 'OnPluginStart', + 'AskPluginLoad2', + 'OnPluginEnd', + 'OnPluginPauseChange', + 'OnGameFrame', + 'OnMapStart', + 'OnMapEnd', + 'OnConfigsExecuted', + 'OnAutoConfigsBuffered', + 'OnAllPluginsLoaded', + 'GetMyHandle', + 'GetPluginIterator', + 'MorePlugins', + 'ReadPlugin', + 'GetPluginStatus', + 'GetPluginFilename', + 'IsPluginDebugging', + 'GetPluginInfo', + 'FindPluginByNumber', + 'SetFailState', + 'ThrowError', + 'GetTime', + 'FormatTime', + 'LoadGameConfigFile', + 'GameConfGetOffset', + 'GameConfGetKeyValue', + 'GameConfGetAddress', + 'GetSysTickCount', + 'AutoExecConfig', + 'RegPluginLibrary', + 'LibraryExists', + 'GetExtensionFileStatus', + 'OnLibraryAdded', + 'OnLibraryRemoved', + 'ReadMapList', + 'SetMapListCompatBind', + 'OnClientFloodCheck', + 'OnClientFloodResult', + 'CanTestFeatures', + 'GetFeatureStatus', + 'RequireFeature', + 'LoadFromAddress', + 'StoreToAddress', + 'CreateStack', + 'PushStackCell', + 'PushStackString', + 'PushStackArray', + 'PopStackCell', + 'PopStackString', + 'PopStackArray', + 'IsStackEmpty', + 'PopStack', + 'OnPlayerRunCmd', + 'BuildPath', + 'OpenDirectory', + 'ReadDirEntry', + 'OpenFile', + 'DeleteFile', + 'ReadFileLine', + 'ReadFile', + 'ReadFileString', + 'WriteFile', + 'WriteFileString', + 'WriteFileLine', + 'ReadFileCell', + 'WriteFileCell', + 'IsEndOfFile', + 'FileSeek', + 'FilePosition', + 'FileExists', + 'RenameFile', + 'DirExists', + 'FileSize', + 'FlushFile', + 'RemoveDir', + 'CreateDirectory', + 'GetFileTime', + 'LogToOpenFile', + 'LogToOpenFileEx', + 'PbReadInt', + 'PbReadFloat', + 'PbReadBool', + 'PbReadString', + 'PbReadColor', + 'PbReadAngle', + 'PbReadVector', + 'PbReadVector2D', + 'PbGetRepeatedFieldCount', + 'PbSetInt', + 'PbSetFloat', + 'PbSetBool', + 'PbSetString', + 'PbSetColor', + 'PbSetAngle', + 'PbSetVector', + 'PbSetVector2D', + 'PbAddInt', + 'PbAddFloat', + 'PbAddBool', + 'PbAddString', + 'PbAddColor', + 'PbAddAngle', + 'PbAddVector', + 'PbAddVector2D', + 'PbRemoveRepeatedFieldValue', + 'PbReadMessage', + 'PbReadRepeatedMessage', + 'PbAddMessage', + 'SetNextMap', + 'GetNextMap', + 'ForceChangeLevel', + 'GetMapHistorySize', + 'GetMapHistory', + 'GeoipCode2', + 'GeoipCode3', + 'GeoipCountry', + 'MarkNativeAsOptional', + 'RegClientCookie', + 'FindClientCookie', + 'SetClientCookie', + 'GetClientCookie', + 'SetAuthIdCookie', + 'AreClientCookiesCached', + 'OnClientCookiesCached', + 'CookieMenuHandler', + 'SetCookiePrefabMenu', + 'SetCookieMenuItem', + 'ShowCookieMenu', + 'GetCookieIterator', + 'ReadCookieIterator', + 'GetCookieAccess', + 'GetClientCookieTime', + 'LoadTranslations', + 'SetGlobalTransTarget', + 'GetClientLanguage', + 'GetServerLanguage', + 'GetLanguageCount', + 'GetLanguageInfo', + 'SetClientLanguage', + 'GetLanguageByCode', + 'GetLanguageByName', + 'CS_OnBuyCommand', + 'CS_OnCSWeaponDrop', + 'CS_OnGetWeaponPrice', + 'CS_OnTerminateRound', + 'CS_RespawnPlayer', + 'CS_SwitchTeam', + 'CS_DropWeapon', + 'CS_TerminateRound', + 'CS_GetTranslatedWeaponAlias', + 'CS_GetWeaponPrice', + 'CS_GetClientClanTag', + 'CS_SetClientClanTag', + 'CS_GetTeamScore', + 'CS_SetTeamScore', + 'CS_GetMVPCount', + 'CS_SetMVPCount', + 'CS_GetClientContributionScore', + 'CS_SetClientContributionScore', + 'CS_GetClientAssists', + 'CS_SetClientAssists', + 'CS_AliasToWeaponID', + 'CS_WeaponIDToAlias', + 'CS_IsValidWeaponID', + 'CS_UpdateClientModel', + 'LogToGame', + 'SetRandomSeed', + 'GetRandomFloat', + 'GetRandomInt', + 'IsMapValid', + 'IsDedicatedServer', + 'GetEngineTime', + 'GetGameTime', + 'GetGameTickCount', + 'GetGameDescription', + 'GetGameFolderName', + 'GetCurrentMap', + 'PrecacheModel', + 'PrecacheSentenceFile', + 'PrecacheDecal', + 'PrecacheGeneric', + 'IsModelPrecached', + 'IsDecalPrecached', + 'IsGenericPrecached', + 'PrecacheSound', + 'IsSoundPrecached', + 'CreateDialog', + 'GetEngineVersion', + 'PrintToChat', + 'PrintToChatAll', + 'PrintCenterText', + 'PrintCenterTextAll', + 'PrintHintText', + 'PrintHintTextToAll', + 'ShowVGUIPanel', + 'CreateHudSynchronizer', + 'SetHudTextParams', + 'SetHudTextParamsEx', + 'ShowSyncHudText', + 'ClearSyncHud', + 'ShowHudText', + 'ShowMOTDPanel', + 'DisplayAskConnectBox', + 'EntIndexToEntRef', + 'EntRefToEntIndex', + 'MakeCompatEntRef', + 'SetClientViewEntity', + 'SetLightStyle', + 'GetClientEyePosition', + 'CreateDataPack', + 'WritePackCell', + 'WritePackFloat', + 'WritePackString', + 'ReadPackCell', + 'ReadPackFloat', + 'ReadPackString', + 'ResetPack', + 'GetPackPosition', + 'SetPackPosition', + 'IsPackReadable', + 'LogMessage', + 'LogToFile', + 'LogToFileEx', + 'LogAction', + 'LogError', + 'OnLogAction', + 'GameLogHook', + 'AddGameLogHook', + 'RemoveGameLogHook', + 'FindTeamByName', + 'StartPrepSDKCall', + 'PrepSDKCall_SetVirtual', + 'PrepSDKCall_SetSignature', + 'PrepSDKCall_SetAddress', + 'PrepSDKCall_SetFromConf', + 'PrepSDKCall_SetReturnInfo', + 'PrepSDKCall_AddParameter', + 'EndPrepSDKCall', + 'SDKCall', + 'GetPlayerResourceEntity', +) + + +if __name__ == '__main__': # pragma: no cover + import re + import sys + try: + from urllib import FancyURLopener + except ImportError: + from urllib.request import FancyURLopener + + from pygments.util import format_lines + + # urllib ends up wanting to import a module called 'math' -- if + # pygments/lexers is in the path, this ends badly. + for i in range(len(sys.path)-1, -1, -1): + if sys.path[i].endswith('/lexers'): + del sys.path[i] + + class Opener(FancyURLopener): + version = 'Mozilla/5.0 (Pygments Sourcemod Builtins Update)' + + opener = Opener() + + def get_version(): + f = opener.open('http://docs.sourcemod.net/api/index.php') + r = re.compile(r'SourceMod v\.([\d\.]+(?:-\w+)?)') + for line in f: + m = r.search(line) + if m is not None: + return m.groups()[0] + raise ValueError('No version in api docs') + + def get_sm_functions(): + f = opener.open('http://docs.sourcemod.net/api/SMfuncs.js') + r = re.compile(r'SMfunctions\[\d+\] = Array \("(?:public )?([^,]+)",".+"\);') + functions = [] + for line in f: + m = r.match(line) + if m is not None: + functions.append(m.groups()[0]) + return functions + + def regenerate(filename, natives): + with open(filename) as fp: + content = fp.read() + + header = content[:content.find('FUNCTIONS = (')] + footer = content[content.find("if __name__ == '__main__':")-1:] + + + with open(filename, 'w') as fp: + fp.write(header) + fp.write(format_lines('FUNCTIONS', natives)) + fp.write(footer) + + def run(): + version = get_version() + print('> Downloading function index for SourceMod %s' % version) + functions = get_sm_functions() + print('> %d functions found:' % len(functions)) + + functionlist = [] + for full_function_name in functions: + print('>> %s' % full_function_name) + functionlist.append(full_function_name) + + regenerate(__file__, functionlist) + + + run() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_stan_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_stan_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..a189647aab513e423aede97330b2a275de8dd63d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_stan_builtins.py @@ -0,0 +1,532 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._stan_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + This file contains the names of functions for Stan used by + ``pygments.lexers.math.StanLexer. This is for Stan language version 2.8.0. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +KEYWORDS = ( + 'else', + 'for', + 'if', + 'in', + 'increment_log_prob', + 'integrate_ode', + 'lp__', + 'print', + 'reject', + 'return', + 'while' +) + +TYPES = ( + 'cholesky_factor_corr', + 'cholesky_factor_cov', + 'corr_matrix', + 'cov_matrix', + 'int', + 'matrix', + 'ordered', + 'positive_ordered', + 'real', + 'row_vector', + 'row_vectormatrix', + 'simplex', + 'unit_vector', + 'vector', + 'void') + +FUNCTIONS = ( + 'Phi', + 'Phi_approx', + 'abs', + 'acos', + 'acosh', + 'append_col', + 'append_row', + 'asin', + 'asinh', + 'atan', + 'atan2', + 'atanh', + 'bernoulli_ccdf_log', + 'bernoulli_cdf', + 'bernoulli_cdf_log', + 'bernoulli_log', + 'bernoulli_logit_log', + 'bernoulli_rng', + 'bessel_first_kind', + 'bessel_second_kind', + 'beta_binomial_ccdf_log', + 'beta_binomial_cdf', + 'beta_binomial_cdf_log', + 'beta_binomial_log', + 'beta_binomial_rng', + 'beta_ccdf_log', + 'beta_cdf', + 'beta_cdf_log', + 'beta_log', + 'beta_rng', + 'binary_log_loss', + 'binomial_ccdf_log', + 'binomial_cdf', + 'binomial_cdf_log', + 'binomial_coefficient_log', + 'binomial_log', + 'binomial_logit_log', + 'binomial_rng', + 'block', + 'categorical_log', + 'categorical_logit_log', + 'categorical_rng', + 'cauchy_ccdf_log', + 'cauchy_cdf', + 'cauchy_cdf_log', + 'cauchy_log', + 'cauchy_rng', + 'cbrt', + 'ceil', + 'chi_square_ccdf_log', + 'chi_square_cdf', + 'chi_square_cdf_log', + 'chi_square_log', + 'chi_square_rng', + 'cholesky_decompose', + 'col', + 'cols', + 'columns_dot_product', + 'columns_dot_self', + 'cos', + 'cosh', + 'crossprod', + 'csr_extract_u', + 'csr_extract_v', + 'csr_extract_w', + 'csr_matrix_times_vector', + 'csr_to_dense_matrix', + 'cumulative_sum', + 'determinant', + 'diag_matrix', + 'diag_post_multiply', + 'diag_pre_multiply', + 'diagonal', + 'digamma', + 'dims', + 'dirichlet_log', + 'dirichlet_rng', + 'distance', + 'dot_product', + 'dot_self', + 'double_exponential_ccdf_log', + 'double_exponential_cdf', + 'double_exponential_cdf_log', + 'double_exponential_log', + 'double_exponential_rng', + 'e', + 'eigenvalues_sym', + 'eigenvectors_sym', + 'erf', + 'erfc', + 'exp', + 'exp2', + 'exp_mod_normal_ccdf_log', + 'exp_mod_normal_cdf', + 'exp_mod_normal_cdf_log', + 'exp_mod_normal_log', + 'exp_mod_normal_rng', + 'expm1', + 'exponential_ccdf_log', + 'exponential_cdf', + 'exponential_cdf_log', + 'exponential_log', + 'exponential_rng', + 'fabs', + 'falling_factorial', + 'fdim', + 'floor', + 'fma', + 'fmax', + 'fmin', + 'fmod', + 'frechet_ccdf_log', + 'frechet_cdf', + 'frechet_cdf_log', + 'frechet_log', + 'frechet_rng', + 'gamma_ccdf_log', + 'gamma_cdf', + 'gamma_cdf_log', + 'gamma_log', + 'gamma_p', + 'gamma_q', + 'gamma_rng', + 'gaussian_dlm_obs_log', + 'get_lp', + 'gumbel_ccdf_log', + 'gumbel_cdf', + 'gumbel_cdf_log', + 'gumbel_log', + 'gumbel_rng', + 'head', + 'hypergeometric_log', + 'hypergeometric_rng', + 'hypot', + 'if_else', + 'int_step', + 'inv', + 'inv_chi_square_ccdf_log', + 'inv_chi_square_cdf', + 'inv_chi_square_cdf_log', + 'inv_chi_square_log', + 'inv_chi_square_rng', + 'inv_cloglog', + 'inv_gamma_ccdf_log', + 'inv_gamma_cdf', + 'inv_gamma_cdf_log', + 'inv_gamma_log', + 'inv_gamma_rng', + 'inv_logit', + 'inv_phi', + 'inv_sqrt', + 'inv_square', + 'inv_wishart_log', + 'inv_wishart_rng', + 'inverse', + 'inverse_spd', + 'is_inf', + 'is_nan', + 'lbeta', + 'lgamma', + 'lkj_corr_cholesky_log', + 'lkj_corr_cholesky_rng', + 'lkj_corr_log', + 'lkj_corr_rng', + 'lmgamma', + 'log', + 'log10', + 'log1m', + 'log1m_exp', + 'log1m_inv_logit', + 'log1p', + 'log1p_exp', + 'log2', + 'log_determinant', + 'log_diff_exp', + 'log_falling_factorial', + 'log_inv_logit', + 'log_mix', + 'log_rising_factorial', + 'log_softmax', + 'log_sum_exp', + 'logistic_ccdf_log', + 'logistic_cdf', + 'logistic_cdf_log', + 'logistic_log', + 'logistic_rng', + 'logit', + 'lognormal_ccdf_log', + 'lognormal_cdf', + 'lognormal_cdf_log', + 'lognormal_log', + 'lognormal_rng', + 'machine_precision', + 'max', + 'mdivide_left_tri_low', + 'mdivide_right_tri_low', + 'mean', + 'min', + 'modified_bessel_first_kind', + 'modified_bessel_second_kind', + 'multi_gp_cholesky_log', + 'multi_gp_log', + 'multi_normal_cholesky_log', + 'multi_normal_cholesky_rng', + 'multi_normal_log', + 'multi_normal_prec_log', + 'multi_normal_rng', + 'multi_student_t_log', + 'multi_student_t_rng', + 'multinomial_log', + 'multinomial_rng', + 'multiply_log', + 'multiply_lower_tri_self_transpose', + 'neg_binomial_2_ccdf_log', + 'neg_binomial_2_cdf', + 'neg_binomial_2_cdf_log', + 'neg_binomial_2_log', + 'neg_binomial_2_log_log', + 'neg_binomial_2_log_rng', + 'neg_binomial_2_rng', + 'neg_binomial_ccdf_log', + 'neg_binomial_cdf', + 'neg_binomial_cdf_log', + 'neg_binomial_log', + 'neg_binomial_rng', + 'negative_infinity', + 'normal_ccdf_log', + 'normal_cdf', + 'normal_cdf_log', + 'normal_log', + 'normal_rng', + 'not_a_number', + 'num_elements', + 'ordered_logistic_log', + 'ordered_logistic_rng', + 'owens_t', + 'pareto_ccdf_log', + 'pareto_cdf', + 'pareto_cdf_log', + 'pareto_log', + 'pareto_rng', + 'pareto_type_2_ccdf_log', + 'pareto_type_2_cdf', + 'pareto_type_2_cdf_log', + 'pareto_type_2_log', + 'pareto_type_2_rng', + 'pi', + 'poisson_ccdf_log', + 'poisson_cdf', + 'poisson_cdf_log', + 'poisson_log', + 'poisson_log_log', + 'poisson_log_rng', + 'poisson_rng', + 'positive_infinity', + 'pow', + 'prod', + 'qr_Q', + 'qr_R', + 'quad_form', + 'quad_form_diag', + 'quad_form_sym', + 'rank', + 'rayleigh_ccdf_log', + 'rayleigh_cdf', + 'rayleigh_cdf_log', + 'rayleigh_log', + 'rayleigh_rng', + 'rep_array', + 'rep_matrix', + 'rep_row_vector', + 'rep_vector', + 'rising_factorial', + 'round', + 'row', + 'rows', + 'rows_dot_product', + 'rows_dot_self', + 'scaled_inv_chi_square_ccdf_log', + 'scaled_inv_chi_square_cdf', + 'scaled_inv_chi_square_cdf_log', + 'scaled_inv_chi_square_log', + 'scaled_inv_chi_square_rng', + 'sd', + 'segment', + 'sin', + 'singular_values', + 'sinh', + 'size', + 'skew_normal_ccdf_log', + 'skew_normal_cdf', + 'skew_normal_cdf_log', + 'skew_normal_log', + 'skew_normal_rng', + 'softmax', + 'sort_asc', + 'sort_desc', + 'sort_indices_asc', + 'sort_indices_desc', + 'sqrt', + 'sqrt2', + 'square', + 'squared_distance', + 'step', + 'student_t_ccdf_log', + 'student_t_cdf', + 'student_t_cdf_log', + 'student_t_log', + 'student_t_rng', + 'sub_col', + 'sub_row', + 'sum', + 'tail', + 'tan', + 'tanh', + 'tcrossprod', + 'tgamma', + 'to_array_1d', + 'to_array_2d', + 'to_matrix', + 'to_row_vector', + 'to_vector', + 'trace', + 'trace_gen_quad_form', + 'trace_quad_form', + 'trigamma', + 'trunc', + 'uniform_ccdf_log', + 'uniform_cdf', + 'uniform_cdf_log', + 'uniform_log', + 'uniform_rng', + 'variance', + 'von_mises_log', + 'von_mises_rng', + 'weibull_ccdf_log', + 'weibull_cdf', + 'weibull_cdf_log', + 'weibull_log', + 'weibull_rng', + 'wiener_log', + 'wishart_log', + 'wishart_rng' +) + +DISTRIBUTIONS = ( + 'bernoulli', + 'bernoulli_logit', + 'beta', + 'beta_binomial', + 'binomial', + 'binomial_logit', + 'categorical', + 'categorical_logit', + 'cauchy', + 'chi_square', + 'dirichlet', + 'double_exponential', + 'exp_mod_normal', + 'exponential', + 'frechet', + 'gamma', + 'gaussian_dlm_obs', + 'gumbel', + 'hypergeometric', + 'inv_chi_square', + 'inv_gamma', + 'inv_wishart', + 'lkj_corr', + 'lkj_corr_cholesky', + 'logistic', + 'lognormal', + 'multi_gp', + 'multi_gp_cholesky', + 'multi_normal', + 'multi_normal_cholesky', + 'multi_normal_prec', + 'multi_student_t', + 'multinomial', + 'neg_binomial', + 'neg_binomial_2', + 'neg_binomial_2_log', + 'normal', + 'ordered_logistic', + 'pareto', + 'pareto_type_2', + 'poisson', + 'poisson_log', + 'rayleigh', + 'scaled_inv_chi_square', + 'skew_normal', + 'student_t', + 'uniform', + 'von_mises', + 'weibull', + 'wiener', + 'wishart' +) + +RESERVED = ( + 'alignas', + 'alignof', + 'and', + 'and_eq', + 'asm', + 'auto', + 'bitand', + 'bitor', + 'bool', + 'break', + 'case', + 'catch', + 'char', + 'char16_t', + 'char32_t', + 'class', + 'compl', + 'const', + 'const_cast', + 'constexpr', + 'continue', + 'decltype', + 'default', + 'delete', + 'do', + 'double', + 'dynamic_cast', + 'enum', + 'explicit', + 'export', + 'extern', + 'false', + 'false', + 'float', + 'friend', + 'fvar', + 'goto', + 'inline', + 'int', + 'long', + 'mutable', + 'namespace', + 'new', + 'noexcept', + 'not', + 'not_eq', + 'nullptr', + 'operator', + 'or', + 'or_eq', + 'private', + 'protected', + 'public', + 'register', + 'reinterpret_cast', + 'repeat', + 'short', + 'signed', + 'sizeof', + 'static', + 'static_assert', + 'static_cast', + 'struct', + 'switch', + 'template', + 'then', + 'this', + 'thread_local', + 'throw', + 'true', + 'true', + 'try', + 'typedef', + 'typeid', + 'typename', + 'union', + 'unsigned', + 'until', + 'using', + 'var', + 'virtual', + 'void', + 'volatile', + 'wchar_t', + 'xor', + 'xor_eq' +) + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_stata_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_stata_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..5f5f72a9788b3e6f03b88404923548d1b568fe34 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_stata_builtins.py @@ -0,0 +1,419 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._stata_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Builtins for Stata + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + + +builtins_base = ( + "if", "else", "in", "foreach", "for", "forv", "forva", + "forval", "forvalu", "forvalue", "forvalues", "by", "bys", + "bysort", "quietly", "qui", "about", "ac", + "ac_7", "acprplot", "acprplot_7", "adjust", "ado", "adopath", + "adoupdate", "alpha", "ameans", "an", "ano", "anov", "anova", + "anova_estat", "anova_terms", "anovadef", "aorder", "ap", "app", + "appe", "appen", "append", "arch", "arch_dr", "arch_estat", + "arch_p", "archlm", "areg", "areg_p", "args", "arima", + "arima_dr", "arima_estat", "arima_p", "as", "asmprobit", + "asmprobit_estat", "asmprobit_lf", "asmprobit_mfx__dlg", + "asmprobit_p", "ass", "asse", "asser", "assert", "avplot", + "avplot_7", "avplots", "avplots_7", "bcskew0", "bgodfrey", + "binreg", "bip0_lf", "biplot", "bipp_lf", "bipr_lf", + "bipr_p", "biprobit", "bitest", "bitesti", "bitowt", "blogit", + "bmemsize", "boot", "bootsamp", "bootstrap", "bootstrap_8", + "boxco_l", "boxco_p", "boxcox", "boxcox_6", "boxcox_p", + "bprobit", "br", "break", "brier", "bro", "brow", "brows", + "browse", "brr", "brrstat", "bs", "bs_7", "bsampl_w", + "bsample", "bsample_7", "bsqreg", "bstat", "bstat_7", "bstat_8", + "bstrap", "bstrap_7", "ca", "ca_estat", "ca_p", "cabiplot", + "camat", "canon", "canon_8", "canon_8_p", "canon_estat", + "canon_p", "cap", "caprojection", "capt", "captu", "captur", + "capture", "cat", "cc", "cchart", "cchart_7", "cci", + "cd", "censobs_table", "centile", "cf", "char", "chdir", + "checkdlgfiles", "checkestimationsample", "checkhlpfiles", + "checksum", "chelp", "ci", "cii", "cl", "class", "classutil", + "clear", "cli", "clis", "clist", "clo", "clog", "clog_lf", + "clog_p", "clogi", "clogi_sw", "clogit", "clogit_lf", + "clogit_p", "clogitp", "clogl_sw", "cloglog", "clonevar", + "clslistarray", "cluster", "cluster_measures", "cluster_stop", + "cluster_tree", "cluster_tree_8", "clustermat", "cmdlog", + "cnr", "cnre", "cnreg", "cnreg_p", "cnreg_sw", "cnsreg", + "codebook", "collaps4", "collapse", "colormult_nb", + "colormult_nw", "compare", "compress", "conf", "confi", + "confir", "confirm", "conren", "cons", "const", "constr", + "constra", "constrai", "constrain", "constraint", "continue", + "contract", "copy", "copyright", "copysource", "cor", "corc", + "corr", "corr2data", "corr_anti", "corr_kmo", "corr_smc", + "corre", "correl", "correla", "correlat", "correlate", + "corrgram", "cou", "coun", "count", "cox", "cox_p", "cox_sw", + "coxbase", "coxhaz", "coxvar", "cprplot", "cprplot_7", + "crc", "cret", "cretu", "cretur", "creturn", "cross", "cs", + "cscript", "cscript_log", "csi", "ct", "ct_is", "ctset", + "ctst_5", "ctst_st", "cttost", "cumsp", "cumsp_7", "cumul", + "cusum", "cusum_7", "cutil", "d", "datasig", "datasign", + "datasigna", "datasignat", "datasignatu", "datasignatur", + "datasignature", "datetof", "db", "dbeta", "de", "dec", + "deco", "decod", "decode", "deff", "des", "desc", "descr", + "descri", "describ", "describe", "destring", "dfbeta", + "dfgls", "dfuller", "di", "di_g", "dir", "dirstats", "dis", + "discard", "disp", "disp_res", "disp_s", "displ", "displa", + "display", "distinct", "do", "doe", "doed", "doedi", + "doedit", "dotplot", "dotplot_7", "dprobit", "drawnorm", + "drop", "ds", "ds_util", "dstdize", "duplicates", "durbina", + "dwstat", "dydx", "e", "ed", "edi", "edit", "egen", + "eivreg", "emdef", "en", "enc", "enco", "encod", "encode", + "eq", "erase", "ereg", "ereg_lf", "ereg_p", "ereg_sw", + "ereghet", "ereghet_glf", "ereghet_glf_sh", "ereghet_gp", + "ereghet_ilf", "ereghet_ilf_sh", "ereghet_ip", "eret", + "eretu", "eretur", "ereturn", "err", "erro", "error", "est", + "est_cfexist", "est_cfname", "est_clickable", "est_expand", + "est_hold", "est_table", "est_unhold", "est_unholdok", + "estat", "estat_default", "estat_summ", "estat_vce_only", + "esti", "estimates", "etodow", "etof", "etomdy", "ex", + "exi", "exit", "expand", "expandcl", "fac", "fact", "facto", + "factor", "factor_estat", "factor_p", "factor_pca_rotated", + "factor_rotate", "factormat", "fcast", "fcast_compute", + "fcast_graph", "fdades", "fdadesc", "fdadescr", "fdadescri", + "fdadescrib", "fdadescribe", "fdasav", "fdasave", "fdause", + "fh_st", "open", "read", "close", + "file", "filefilter", "fillin", "find_hlp_file", "findfile", + "findit", "findit_7", "fit", "fl", "fli", "flis", "flist", + "for5_0", "form", "forma", "format", "fpredict", "frac_154", + "frac_adj", "frac_chk", "frac_cox", "frac_ddp", "frac_dis", + "frac_dv", "frac_in", "frac_mun", "frac_pp", "frac_pq", + "frac_pv", "frac_wgt", "frac_xo", "fracgen", "fracplot", + "fracplot_7", "fracpoly", "fracpred", "fron_ex", "fron_hn", + "fron_p", "fron_tn", "fron_tn2", "frontier", "ftodate", "ftoe", + "ftomdy", "ftowdate", "g", "gamhet_glf", "gamhet_gp", + "gamhet_ilf", "gamhet_ip", "gamma", "gamma_d2", "gamma_p", + "gamma_sw", "gammahet", "gdi_hexagon", "gdi_spokes", "ge", + "gen", "gene", "gener", "genera", "generat", "generate", + "genrank", "genstd", "genvmean", "gettoken", "gl", "gladder", + "gladder_7", "glim_l01", "glim_l02", "glim_l03", "glim_l04", + "glim_l05", "glim_l06", "glim_l07", "glim_l08", "glim_l09", + "glim_l10", "glim_l11", "glim_l12", "glim_lf", "glim_mu", + "glim_nw1", "glim_nw2", "glim_nw3", "glim_p", "glim_v1", + "glim_v2", "glim_v3", "glim_v4", "glim_v5", "glim_v6", + "glim_v7", "glm", "glm_6", "glm_p", "glm_sw", "glmpred", "glo", + "glob", "globa", "global", "glogit", "glogit_8", "glogit_p", + "gmeans", "gnbre_lf", "gnbreg", "gnbreg_5", "gnbreg_p", + "gomp_lf", "gompe_sw", "gomper_p", "gompertz", "gompertzhet", + "gomphet_glf", "gomphet_glf_sh", "gomphet_gp", "gomphet_ilf", + "gomphet_ilf_sh", "gomphet_ip", "gphdot", "gphpen", + "gphprint", "gprefs", "gprobi_p", "gprobit", "gprobit_8", "gr", + "gr7", "gr_copy", "gr_current", "gr_db", "gr_describe", + "gr_dir", "gr_draw", "gr_draw_replay", "gr_drop", "gr_edit", + "gr_editviewopts", "gr_example", "gr_example2", "gr_export", + "gr_print", "gr_qscheme", "gr_query", "gr_read", "gr_rename", + "gr_replay", "gr_save", "gr_set", "gr_setscheme", "gr_table", + "gr_undo", "gr_use", "graph", "graph7", "grebar", "greigen", + "greigen_7", "greigen_8", "grmeanby", "grmeanby_7", + "gs_fileinfo", "gs_filetype", "gs_graphinfo", "gs_stat", + "gsort", "gwood", "h", "hadimvo", "hareg", "hausman", + "haver", "he", "heck_d2", "heckma_p", "heckman", "heckp_lf", + "heckpr_p", "heckprob", "hel", "help", "hereg", "hetpr_lf", + "hetpr_p", "hetprob", "hettest", "hexdump", "hilite", + "hist", "hist_7", "histogram", "hlogit", "hlu", "hmeans", + "hotel", "hotelling", "hprobit", "hreg", "hsearch", "icd9", + "icd9_ff", "icd9p", "iis", "impute", "imtest", "inbase", + "include", "inf", "infi", "infil", "infile", "infix", "inp", + "inpu", "input", "ins", "insheet", "insp", "inspe", + "inspec", "inspect", "integ", "inten", "intreg", "intreg_7", + "intreg_p", "intrg2_ll", "intrg_ll", "intrg_ll2", "ipolate", + "iqreg", "ir", "irf", "irf_create", "irfm", "iri", "is_svy", + "is_svysum", "isid", "istdize", "ivprob_1_lf", "ivprob_lf", + "ivprobit", "ivprobit_p", "ivreg", "ivreg_footnote", + "ivtob_1_lf", "ivtob_lf", "ivtobit", "ivtobit_p", "jackknife", + "jacknife", "jknife", "jknife_6", "jknife_8", "jkstat", + "joinby", "kalarma1", "kap", "kap_3", "kapmeier", "kappa", + "kapwgt", "kdensity", "kdensity_7", "keep", "ksm", "ksmirnov", + "ktau", "kwallis", "l", "la", "lab", "labe", "label", + "labelbook", "ladder", "levels", "levelsof", "leverage", + "lfit", "lfit_p", "li", "lincom", "line", "linktest", + "lis", "list", "lloghet_glf", "lloghet_glf_sh", "lloghet_gp", + "lloghet_ilf", "lloghet_ilf_sh", "lloghet_ip", "llogi_sw", + "llogis_p", "llogist", "llogistic", "llogistichet", + "lnorm_lf", "lnorm_sw", "lnorma_p", "lnormal", "lnormalhet", + "lnormhet_glf", "lnormhet_glf_sh", "lnormhet_gp", + "lnormhet_ilf", "lnormhet_ilf_sh", "lnormhet_ip", "lnskew0", + "loadingplot", "loc", "loca", "local", "log", "logi", + "logis_lf", "logistic", "logistic_p", "logit", "logit_estat", + "logit_p", "loglogs", "logrank", "loneway", "lookfor", + "lookup", "lowess", "lowess_7", "lpredict", "lrecomp", "lroc", + "lroc_7", "lrtest", "ls", "lsens", "lsens_7", "lsens_x", + "lstat", "ltable", "ltable_7", "ltriang", "lv", "lvr2plot", + "lvr2plot_7", "m", "ma", "mac", "macr", "macro", "makecns", + "man", "manova", "manova_estat", "manova_p", "manovatest", + "mantel", "mark", "markin", "markout", "marksample", "mat", + "mat_capp", "mat_order", "mat_put_rr", "mat_rapp", "mata", + "mata_clear", "mata_describe", "mata_drop", "mata_matdescribe", + "mata_matsave", "mata_matuse", "mata_memory", "mata_mlib", + "mata_mosave", "mata_rename", "mata_which", "matalabel", + "matcproc", "matlist", "matname", "matr", "matri", + "matrix", "matrix_input__dlg", "matstrik", "mcc", "mcci", + "md0_", "md1_", "md1debug_", "md2_", "md2debug_", "mds", + "mds_estat", "mds_p", "mdsconfig", "mdslong", "mdsmat", + "mdsshepard", "mdytoe", "mdytof", "me_derd", "mean", + "means", "median", "memory", "memsize", "meqparse", "mer", + "merg", "merge", "mfp", "mfx", "mhelp", "mhodds", "minbound", + "mixed_ll", "mixed_ll_reparm", "mkassert", "mkdir", + "mkmat", "mkspline", "ml", "ml_5", "ml_adjs", "ml_bhhhs", + "ml_c_d", "ml_check", "ml_clear", "ml_cnt", "ml_debug", + "ml_defd", "ml_e0", "ml_e0_bfgs", "ml_e0_cycle", "ml_e0_dfp", + "ml_e0i", "ml_e1", "ml_e1_bfgs", "ml_e1_bhhh", "ml_e1_cycle", + "ml_e1_dfp", "ml_e2", "ml_e2_cycle", "ml_ebfg0", "ml_ebfr0", + "ml_ebfr1", "ml_ebh0q", "ml_ebhh0", "ml_ebhr0", "ml_ebr0i", + "ml_ecr0i", "ml_edfp0", "ml_edfr0", "ml_edfr1", "ml_edr0i", + "ml_eds", "ml_eer0i", "ml_egr0i", "ml_elf", "ml_elf_bfgs", + "ml_elf_bhhh", "ml_elf_cycle", "ml_elf_dfp", "ml_elfi", + "ml_elfs", "ml_enr0i", "ml_enrr0", "ml_erdu0", "ml_erdu0_bfgs", + "ml_erdu0_bhhh", "ml_erdu0_bhhhq", "ml_erdu0_cycle", + "ml_erdu0_dfp", "ml_erdu0_nrbfgs", "ml_exde", "ml_footnote", + "ml_geqnr", "ml_grad0", "ml_graph", "ml_hbhhh", "ml_hd0", + "ml_hold", "ml_init", "ml_inv", "ml_log", "ml_max", + "ml_mlout", "ml_mlout_8", "ml_model", "ml_nb0", "ml_opt", + "ml_p", "ml_plot", "ml_query", "ml_rdgrd", "ml_repor", + "ml_s_e", "ml_score", "ml_searc", "ml_technique", "ml_unhold", + "mleval", "mlf_", "mlmatbysum", "mlmatsum", "mlog", "mlogi", + "mlogit", "mlogit_footnote", "mlogit_p", "mlopts", "mlsum", + "mlvecsum", "mnl0_", "mor", "more", "mov", "move", "mprobit", + "mprobit_lf", "mprobit_p", "mrdu0_", "mrdu1_", "mvdecode", + "mvencode", "mvreg", "mvreg_estat", "n", "nbreg", + "nbreg_al", "nbreg_lf", "nbreg_p", "nbreg_sw", "nestreg", "net", + "newey", "newey_7", "newey_p", "news", "nl", "nl_7", "nl_9", + "nl_9_p", "nl_p", "nl_p_7", "nlcom", "nlcom_p", "nlexp2", + "nlexp2_7", "nlexp2a", "nlexp2a_7", "nlexp3", "nlexp3_7", + "nlgom3", "nlgom3_7", "nlgom4", "nlgom4_7", "nlinit", "nllog3", + "nllog3_7", "nllog4", "nllog4_7", "nlog_rd", "nlogit", + "nlogit_p", "nlogitgen", "nlogittree", "nlpred", "no", + "nobreak", "noi", "nois", "noisi", "noisil", "noisily", "note", + "notes", "notes_dlg", "nptrend", "numlabel", "numlist", "odbc", + "old_ver", "olo", "olog", "ologi", "ologi_sw", "ologit", + "ologit_p", "ologitp", "on", "one", "onew", "onewa", "oneway", + "op_colnm", "op_comp", "op_diff", "op_inv", "op_str", "opr", + "opro", "oprob", "oprob_sw", "oprobi", "oprobi_p", "oprobit", + "oprobitp", "opts_exclusive", "order", "orthog", "orthpoly", + "ou", "out", "outf", "outfi", "outfil", "outfile", "outs", + "outsh", "outshe", "outshee", "outsheet", "ovtest", "pac", + "pac_7", "palette", "parse", "parse_dissim", "pause", "pca", + "pca_8", "pca_display", "pca_estat", "pca_p", "pca_rotate", + "pcamat", "pchart", "pchart_7", "pchi", "pchi_7", "pcorr", + "pctile", "pentium", "pergram", "pergram_7", "permute", + "permute_8", "personal", "peto_st", "pkcollapse", "pkcross", + "pkequiv", "pkexamine", "pkexamine_7", "pkshape", "pksumm", + "pksumm_7", "pl", "plo", "plot", "plugin", "pnorm", + "pnorm_7", "poisgof", "poiss_lf", "poiss_sw", "poisso_p", + "poisson", "poisson_estat", "post", "postclose", "postfile", + "postutil", "pperron", "pr", "prais", "prais_e", "prais_e2", + "prais_p", "predict", "predictnl", "preserve", "print", + "pro", "prob", "probi", "probit", "probit_estat", "probit_p", + "proc_time", "procoverlay", "procrustes", "procrustes_estat", + "procrustes_p", "profiler", "prog", "progr", "progra", + "program", "prop", "proportion", "prtest", "prtesti", "pwcorr", + "pwd", "q", "s", "qby", "qbys", "qchi", "qchi_7", "qladder", + "qladder_7", "qnorm", "qnorm_7", "qqplot", "qqplot_7", "qreg", + "qreg_c", "qreg_p", "qreg_sw", "qu", "quadchk", "quantile", + "quantile_7", "que", "quer", "query", "range", "ranksum", + "ratio", "rchart", "rchart_7", "rcof", "recast", "reclink", + "recode", "reg", "reg3", "reg3_p", "regdw", "regr", "regre", + "regre_p2", "regres", "regres_p", "regress", "regress_estat", + "regriv_p", "remap", "ren", "rena", "renam", "rename", + "renpfix", "repeat", "replace", "report", "reshape", + "restore", "ret", "retu", "retur", "return", "rm", "rmdir", + "robvar", "roccomp", "roccomp_7", "roccomp_8", "rocf_lf", + "rocfit", "rocfit_8", "rocgold", "rocplot", "rocplot_7", + "roctab", "roctab_7", "rolling", "rologit", "rologit_p", + "rot", "rota", "rotat", "rotate", "rotatemat", "rreg", + "rreg_p", "ru", "run", "runtest", "rvfplot", "rvfplot_7", + "rvpplot", "rvpplot_7", "sa", "safesum", "sample", + "sampsi", "sav", "save", "savedresults", "saveold", "sc", + "sca", "scal", "scala", "scalar", "scatter", "scm_mine", + "sco", "scob_lf", "scob_p", "scobi_sw", "scobit", "scor", + "score", "scoreplot", "scoreplot_help", "scree", "screeplot", + "screeplot_help", "sdtest", "sdtesti", "se", "search", + "separate", "seperate", "serrbar", "serrbar_7", "serset", "set", + "set_defaults", "sfrancia", "sh", "she", "shel", "shell", + "shewhart", "shewhart_7", "signestimationsample", "signrank", + "signtest", "simul", "simul_7", "simulate", "simulate_8", + "sktest", "sleep", "slogit", "slogit_d2", "slogit_p", "smooth", + "snapspan", "so", "sor", "sort", "spearman", "spikeplot", + "spikeplot_7", "spikeplt", "spline_x", "split", "sqreg", + "sqreg_p", "sret", "sretu", "sretur", "sreturn", "ssc", "st", + "st_ct", "st_hc", "st_hcd", "st_hcd_sh", "st_is", "st_issys", + "st_note", "st_promo", "st_set", "st_show", "st_smpl", + "st_subid", "stack", "statsby", "statsby_8", "stbase", "stci", + "stci_7", "stcox", "stcox_estat", "stcox_fr", "stcox_fr_ll", + "stcox_p", "stcox_sw", "stcoxkm", "stcoxkm_7", "stcstat", + "stcurv", "stcurve", "stcurve_7", "stdes", "stem", "stepwise", + "stereg", "stfill", "stgen", "stir", "stjoin", "stmc", "stmh", + "stphplot", "stphplot_7", "stphtest", "stphtest_7", + "stptime", "strate", "strate_7", "streg", "streg_sw", "streset", + "sts", "sts_7", "stset", "stsplit", "stsum", "sttocc", + "sttoct", "stvary", "stweib", "su", "suest", "suest_8", + "sum", "summ", "summa", "summar", "summari", "summariz", + "summarize", "sunflower", "sureg", "survcurv", "survsum", + "svar", "svar_p", "svmat", "svy", "svy_disp", "svy_dreg", + "svy_est", "svy_est_7", "svy_estat", "svy_get", "svy_gnbreg_p", + "svy_head", "svy_header", "svy_heckman_p", "svy_heckprob_p", + "svy_intreg_p", "svy_ivreg_p", "svy_logistic_p", "svy_logit_p", + "svy_mlogit_p", "svy_nbreg_p", "svy_ologit_p", "svy_oprobit_p", + "svy_poisson_p", "svy_probit_p", "svy_regress_p", "svy_sub", + "svy_sub_7", "svy_x", "svy_x_7", "svy_x_p", "svydes", + "svydes_8", "svygen", "svygnbreg", "svyheckman", "svyheckprob", + "svyintreg", "svyintreg_7", "svyintrg", "svyivreg", "svylc", + "svylog_p", "svylogit", "svymarkout", "svymarkout_8", + "svymean", "svymlog", "svymlogit", "svynbreg", "svyolog", + "svyologit", "svyoprob", "svyoprobit", "svyopts", + "svypois", "svypois_7", "svypoisson", "svyprobit", "svyprobt", + "svyprop", "svyprop_7", "svyratio", "svyreg", "svyreg_p", + "svyregress", "svyset", "svyset_7", "svyset_8", "svytab", + "svytab_7", "svytest", "svytotal", "sw", "sw_8", "swcnreg", + "swcox", "swereg", "swilk", "swlogis", "swlogit", + "swologit", "swoprbt", "swpois", "swprobit", "swqreg", + "swtobit", "swweib", "symmetry", "symmi", "symplot", + "symplot_7", "syntax", "sysdescribe", "sysdir", "sysuse", + "szroeter", "ta", "tab", "tab1", "tab2", "tab_or", "tabd", + "tabdi", "tabdis", "tabdisp", "tabi", "table", "tabodds", + "tabodds_7", "tabstat", "tabu", "tabul", "tabula", "tabulat", + "tabulate", "te", "tempfile", "tempname", "tempvar", "tes", + "test", "testnl", "testparm", "teststd", "tetrachoric", + "time_it", "timer", "tis", "tob", "tobi", "tobit", "tobit_p", + "tobit_sw", "token", "tokeni", "tokeniz", "tokenize", + "tostring", "total", "translate", "translator", "transmap", + "treat_ll", "treatr_p", "treatreg", "trim", "trnb_cons", + "trnb_mean", "trpoiss_d2", "trunc_ll", "truncr_p", "truncreg", + "tsappend", "tset", "tsfill", "tsline", "tsline_ex", + "tsreport", "tsrevar", "tsrline", "tsset", "tssmooth", + "tsunab", "ttest", "ttesti", "tut_chk", "tut_wait", "tutorial", + "tw", "tware_st", "two", "twoway", "twoway__fpfit_serset", + "twoway__function_gen", "twoway__histogram_gen", + "twoway__ipoint_serset", "twoway__ipoints_serset", + "twoway__kdensity_gen", "twoway__lfit_serset", + "twoway__normgen_gen", "twoway__pci_serset", + "twoway__qfit_serset", "twoway__scatteri_serset", + "twoway__sunflower_gen", "twoway_ksm_serset", "ty", "typ", + "type", "typeof", "u", "unab", "unabbrev", "unabcmd", + "update", "us", "use", "uselabel", "var", "var_mkcompanion", + "var_p", "varbasic", "varfcast", "vargranger", "varirf", + "varirf_add", "varirf_cgraph", "varirf_create", "varirf_ctable", + "varirf_describe", "varirf_dir", "varirf_drop", "varirf_erase", + "varirf_graph", "varirf_ograph", "varirf_rename", "varirf_set", + "varirf_table", "varlist", "varlmar", "varnorm", "varsoc", + "varstable", "varstable_w", "varstable_w2", "varwle", + "vce", "vec", "vec_fevd", "vec_mkphi", "vec_p", "vec_p_w", + "vecirf_create", "veclmar", "veclmar_w", "vecnorm", + "vecnorm_w", "vecrank", "vecstable", "verinst", "vers", + "versi", "versio", "version", "view", "viewsource", "vif", + "vwls", "wdatetof", "webdescribe", "webseek", "webuse", + "weib1_lf", "weib2_lf", "weib_lf", "weib_lf0", "weibhet_glf", + "weibhet_glf_sh", "weibhet_glfa", "weibhet_glfa_sh", + "weibhet_gp", "weibhet_ilf", "weibhet_ilf_sh", "weibhet_ilfa", + "weibhet_ilfa_sh", "weibhet_ip", "weibu_sw", "weibul_p", + "weibull", "weibull_c", "weibull_s", "weibullhet", + "wh", "whelp", "whi", "which", "whil", "while", "wilc_st", + "wilcoxon", "win", "wind", "windo", "window", "winexec", + "wntestb", "wntestb_7", "wntestq", "xchart", "xchart_7", + "xcorr", "xcorr_7", "xi", "xi_6", "xmlsav", "xmlsave", + "xmluse", "xpose", "xsh", "xshe", "xshel", "xshell", + "xt_iis", "xt_tis", "xtab_p", "xtabond", "xtbin_p", + "xtclog", "xtcloglog", "xtcloglog_8", "xtcloglog_d2", + "xtcloglog_pa_p", "xtcloglog_re_p", "xtcnt_p", "xtcorr", + "xtdata", "xtdes", "xtfront_p", "xtfrontier", "xtgee", + "xtgee_elink", "xtgee_estat", "xtgee_makeivar", "xtgee_p", + "xtgee_plink", "xtgls", "xtgls_p", "xthaus", "xthausman", + "xtht_p", "xthtaylor", "xtile", "xtint_p", "xtintreg", + "xtintreg_8", "xtintreg_d2", "xtintreg_p", "xtivp_1", + "xtivp_2", "xtivreg", "xtline", "xtline_ex", "xtlogit", + "xtlogit_8", "xtlogit_d2", "xtlogit_fe_p", "xtlogit_pa_p", + "xtlogit_re_p", "xtmixed", "xtmixed_estat", "xtmixed_p", + "xtnb_fe", "xtnb_lf", "xtnbreg", "xtnbreg_pa_p", + "xtnbreg_refe_p", "xtpcse", "xtpcse_p", "xtpois", "xtpoisson", + "xtpoisson_d2", "xtpoisson_pa_p", "xtpoisson_refe_p", "xtpred", + "xtprobit", "xtprobit_8", "xtprobit_d2", "xtprobit_re_p", + "xtps_fe", "xtps_lf", "xtps_ren", "xtps_ren_8", "xtrar_p", + "xtrc", "xtrc_p", "xtrchh", "xtrefe_p", "xtreg", "xtreg_be", + "xtreg_fe", "xtreg_ml", "xtreg_pa_p", "xtreg_re", + "xtregar", "xtrere_p", "xtset", "xtsf_ll", "xtsf_llti", + "xtsum", "xttab", "xttest0", "xttobit", "xttobit_8", + "xttobit_p", "xttrans", "yx", "yxview__barlike_draw", + "yxview_area_draw", "yxview_bar_draw", "yxview_dot_draw", + "yxview_dropline_draw", "yxview_function_draw", + "yxview_iarrow_draw", "yxview_ilabels_draw", + "yxview_normal_draw", "yxview_pcarrow_draw", + "yxview_pcbarrow_draw", "yxview_pccapsym_draw", + "yxview_pcscatter_draw", "yxview_pcspike_draw", + "yxview_rarea_draw", "yxview_rbar_draw", "yxview_rbarm_draw", + "yxview_rcap_draw", "yxview_rcapsym_draw", + "yxview_rconnected_draw", "yxview_rline_draw", + "yxview_rscatter_draw", "yxview_rspike_draw", + "yxview_spike_draw", "yxview_sunflower_draw", "zap_s", "zinb", + "zinb_llf", "zinb_plf", "zip", "zip_llf", "zip_p", "zip_plf", + "zt_ct_5", "zt_hc_5", "zt_hcd_5", "zt_is_5", "zt_iss_5", + "zt_sho_5", "zt_smp_5", "ztbase_5", "ztcox_5", "ztdes_5", + "ztereg_5", "ztfill_5", "ztgen_5", "ztir_5", "ztjoin_5", "ztnb", + "ztnb_p", "ztp", "ztp_p", "zts_5", "ztset_5", "ztspli_5", + "ztsum_5", "zttoct_5", "ztvary_5", "ztweib_5" +) + +builtins_functions = ( + "Cdhms", "Chms", "Clock", "Cmdyhms", "Cofc", "Cofd", "F", + "Fden", "Ftail", "I", "J", "_caller", "abbrev", "abs", "acos", + "acosh", "asin", "asinh", "atan", "atan2", "atanh", + "autocode", "betaden", "binomial", "binomialp", "binomialtail", + "binormal", "bofd", "byteorder", "c", "ceil", "char", + "chi2", "chi2den", "chi2tail", "cholesky", "chop", "clip", + "clock", "cloglog", "cofC", "cofd", "colnumb", "colsof", "comb", + "cond", "corr", "cos", "cosh", "d", "daily", "date", "day", + "det", "dgammapda", "dgammapdada", "dgammapdadx", "dgammapdx", + "dgammapdxdx", "dhms", "diag", "diag0cnt", "digamma", + "dofC", "dofb", "dofc", "dofh", "dofm", "dofq", "dofw", + "dofy", "dow", "doy", "dunnettprob", "e", "el", "epsdouble", + "epsfloat", "exp", "fileexists", "fileread", "filereaderror", + "filewrite", "float", "floor", "fmtwidth", "gammaden", + "gammap", "gammaptail", "get", "group", "h", "hadamard", + "halfyear", "halfyearly", "has_eprop", "hh", "hhC", "hms", + "hofd", "hours", "hypergeometric", "hypergeometricp", "ibeta", + "ibetatail", "index", "indexnot", "inlist", "inrange", "int", + "inv", "invF", "invFtail", "invbinomial", "invbinomialtail", + "invchi2", "invchi2tail", "invcloglog", "invdunnettprob", + "invgammap", "invgammaptail", "invibeta", "invibetatail", + "invlogit", "invnFtail", "invnbinomial", "invnbinomialtail", + "invnchi2", "invnchi2tail", "invnibeta", "invnorm", "invnormal", + "invnttail", "invpoisson", "invpoissontail", "invsym", "invt", + "invttail", "invtukeyprob", "irecode", "issym", "issymmetric", + "itrim", "length", "ln", "lnfact", "lnfactorial", "lngamma", + "lnnormal", "lnnormalden", "log", "log10", "logit", "lower", + "ltrim", "m", "match", "matmissing", "matrix", "matuniform", + "max", "maxbyte", "maxdouble", "maxfloat", "maxint", "maxlong", + "mdy", "mdyhms", "mi", "min", "minbyte", "mindouble", + "minfloat", "minint", "minlong", "minutes", "missing", "mm", + "mmC", "mod", "mofd", "month", "monthly", "mreldif", + "msofhours", "msofminutes", "msofseconds", "nF", "nFden", + "nFtail", "nbetaden", "nbinomial", "nbinomialp", "nbinomialtail", + "nchi2", "nchi2den", "nchi2tail", "nibeta", "norm", "normal", + "normalden", "normd", "npnF", "npnchi2", "npnt", "nt", "ntden", + "nttail", "nullmat", "plural", "poisson", "poissonp", + "poissontail", "proper", "q", "qofd", "quarter", "quarterly", + "r", "rbeta", "rbinomial", "rchi2", "real", "recode", "regexm", + "regexr", "regexs", "reldif", "replay", "return", "reverse", + "rgamma", "rhypergeometric", "rnbinomial", "rnormal", "round", + "rownumb", "rowsof", "rpoisson", "rt", "rtrim", "runiform", "s", + "scalar", "seconds", "sign", "sin", "sinh", "smallestdouble", + "soundex", "soundex_nara", "sqrt", "ss", "ssC", "strcat", + "strdup", "string", "strlen", "strlower", "strltrim", "strmatch", + "strofreal", "strpos", "strproper", "strreverse", "strrtrim", + "strtoname", "strtrim", "strupper", "subinstr", "subinword", + "substr", "sum", "sweep", "syminv", "t", "tC", "tan", "tanh", + "tc", "td", "tden", "th", "tin", "tm", "tq", "trace", + "trigamma", "trim", "trunc", "ttail", "tukeyprob", "tw", + "twithin", "uniform", "upper", "vec", "vecdiag", "w", "week", + "weekly", "wofd", "word", "wordcount", "year", "yearly", + "yh", "ym", "yofd", "yq", "yw" +) + + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_tsql_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_tsql_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..e29ed34bacc45ccbf41363abe5bbb248bc6bf434 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_tsql_builtins.py @@ -0,0 +1,1004 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._tsql_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + These are manually translated lists from https://msdn.microsoft.com. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +# See https://msdn.microsoft.com/en-us/library/ms174986.aspx. +OPERATORS = ( + '!<', + '!=', + '!>', + '<', + '<=', + '<>', + '=', + '>', + '>=', + '+', + '+=', + '-', + '-=', + '*', + '*=', + '/', + '/=', + '%', + '%=', + '&', + '&=', + '|', + '|=', + '^', + '^=', + '~', + '::', +) + +OPERATOR_WORDS = ( + 'all', + 'and', + 'any', + 'between', + 'except', + 'exists', + 'in', + 'intersect', + 'like', + 'not', + 'or', + 'some', + 'union', +) + +_KEYWORDS_SERVER = ( + 'add', + 'all', + 'alter', + 'and', + 'any', + 'as', + 'asc', + 'authorization', + 'backup', + 'begin', + 'between', + 'break', + 'browse', + 'bulk', + 'by', + 'cascade', + 'case', + 'catch', + 'check', + 'checkpoint', + 'close', + 'clustered', + 'coalesce', + 'collate', + 'column', + 'commit', + 'compute', + 'constraint', + 'contains', + 'containstable', + 'continue', + 'convert', + 'create', + 'cross', + 'current', + 'current_date', + 'current_time', + 'current_timestamp', + 'current_user', + 'cursor', + 'database', + 'dbcc', + 'deallocate', + 'declare', + 'default', + 'delete', + 'deny', + 'desc', + 'disk', + 'distinct', + 'distributed', + 'double', + 'drop', + 'dump', + 'else', + 'end', + 'errlvl', + 'escape', + 'except', + 'exec', + 'execute', + 'exists', + 'exit', + 'external', + 'fetch', + 'file', + 'fillfactor', + 'for', + 'foreign', + 'freetext', + 'freetexttable', + 'from', + 'full', + 'function', + 'goto', + 'grant', + 'group', + 'having', + 'holdlock', + 'identity', + 'identity_insert', + 'identitycol', + 'if', + 'in', + 'index', + 'inner', + 'insert', + 'intersect', + 'into', + 'is', + 'join', + 'key', + 'kill', + 'left', + 'like', + 'lineno', + 'load', + 'merge', + 'national', + 'nocheck', + 'nonclustered', + 'not', + 'null', + 'nullif', + 'of', + 'off', + 'offsets', + 'on', + 'open', + 'opendatasource', + 'openquery', + 'openrowset', + 'openxml', + 'option', + 'or', + 'order', + 'outer', + 'over', + 'percent', + 'pivot', + 'plan', + 'precision', + 'primary', + 'print', + 'proc', + 'procedure', + 'public', + 'raiserror', + 'read', + 'readtext', + 'reconfigure', + 'references', + 'replication', + 'restore', + 'restrict', + 'return', + 'revert', + 'revoke', + 'right', + 'rollback', + 'rowcount', + 'rowguidcol', + 'rule', + 'save', + 'schema', + 'securityaudit', + 'select', + 'semantickeyphrasetable', + 'semanticsimilaritydetailstable', + 'semanticsimilaritytable', + 'session_user', + 'set', + 'setuser', + 'shutdown', + 'some', + 'statistics', + 'system_user', + 'table', + 'tablesample', + 'textsize', + 'then', + 'throw', + 'to', + 'top', + 'tran', + 'transaction', + 'trigger', + 'truncate', + 'try', + 'try_convert', + 'tsequal', + 'union', + 'unique', + 'unpivot', + 'update', + 'updatetext', + 'use', + 'user', + 'values', + 'varying', + 'view', + 'waitfor', + 'when', + 'where', + 'while', + 'with', + 'within', + 'writetext', +) + +_KEYWORDS_FUTURE = ( + 'absolute', + 'action', + 'admin', + 'after', + 'aggregate', + 'alias', + 'allocate', + 'are', + 'array', + 'asensitive', + 'assertion', + 'asymmetric', + 'at', + 'atomic', + 'before', + 'binary', + 'bit', + 'blob', + 'boolean', + 'both', + 'breadth', + 'call', + 'called', + 'cardinality', + 'cascaded', + 'cast', + 'catalog', + 'char', + 'character', + 'class', + 'clob', + 'collation', + 'collect', + 'completion', + 'condition', + 'connect', + 'connection', + 'constraints', + 'constructor', + 'corr', + 'corresponding', + 'covar_pop', + 'covar_samp', + 'cube', + 'cume_dist', + 'current_catalog', + 'current_default_transform_group', + 'current_path', + 'current_role', + 'current_schema', + 'current_transform_group_for_type', + 'cycle', + 'data', + 'date', + 'day', + 'dec', + 'decimal', + 'deferrable', + 'deferred', + 'depth', + 'deref', + 'describe', + 'descriptor', + 'destroy', + 'destructor', + 'deterministic', + 'diagnostics', + 'dictionary', + 'disconnect', + 'domain', + 'dynamic', + 'each', + 'element', + 'end-exec', + 'equals', + 'every', + 'exception', + 'false', + 'filter', + 'first', + 'float', + 'found', + 'free', + 'fulltexttable', + 'fusion', + 'general', + 'get', + 'global', + 'go', + 'grouping', + 'hold', + 'host', + 'hour', + 'ignore', + 'immediate', + 'indicator', + 'initialize', + 'initially', + 'inout', + 'input', + 'int', + 'integer', + 'intersection', + 'interval', + 'isolation', + 'iterate', + 'language', + 'large', + 'last', + 'lateral', + 'leading', + 'less', + 'level', + 'like_regex', + 'limit', + 'ln', + 'local', + 'localtime', + 'localtimestamp', + 'locator', + 'map', + 'match', + 'member', + 'method', + 'minute', + 'mod', + 'modifies', + 'modify', + 'module', + 'month', + 'multiset', + 'names', + 'natural', + 'nchar', + 'nclob', + 'new', + 'next', + 'no', + 'none', + 'normalize', + 'numeric', + 'object', + 'occurrences_regex', + 'old', + 'only', + 'operation', + 'ordinality', + 'out', + 'output', + 'overlay', + 'pad', + 'parameter', + 'parameters', + 'partial', + 'partition', + 'path', + 'percent_rank', + 'percentile_cont', + 'percentile_disc', + 'position_regex', + 'postfix', + 'prefix', + 'preorder', + 'prepare', + 'preserve', + 'prior', + 'privileges', + 'range', + 'reads', + 'real', + 'recursive', + 'ref', + 'referencing', + 'regr_avgx', + 'regr_avgy', + 'regr_count', + 'regr_intercept', + 'regr_r2', + 'regr_slope', + 'regr_sxx', + 'regr_sxy', + 'regr_syy', + 'relative', + 'release', + 'result', + 'returns', + 'role', + 'rollup', + 'routine', + 'row', + 'rows', + 'savepoint', + 'scope', + 'scroll', + 'search', + 'second', + 'section', + 'sensitive', + 'sequence', + 'session', + 'sets', + 'similar', + 'size', + 'smallint', + 'space', + 'specific', + 'specifictype', + 'sql', + 'sqlexception', + 'sqlstate', + 'sqlwarning', + 'start', + 'state', + 'statement', + 'static', + 'stddev_pop', + 'stddev_samp', + 'structure', + 'submultiset', + 'substring_regex', + 'symmetric', + 'system', + 'temporary', + 'terminate', + 'than', + 'time', + 'timestamp', + 'timezone_hour', + 'timezone_minute', + 'trailing', + 'translate_regex', + 'translation', + 'treat', + 'true', + 'uescape', + 'under', + 'unknown', + 'unnest', + 'usage', + 'using', + 'value', + 'var_pop', + 'var_samp', + 'varchar', + 'variable', + 'whenever', + 'width_bucket', + 'window', + 'within', + 'without', + 'work', + 'write', + 'xmlagg', + 'xmlattributes', + 'xmlbinary', + 'xmlcast', + 'xmlcomment', + 'xmlconcat', + 'xmldocument', + 'xmlelement', + 'xmlexists', + 'xmlforest', + 'xmliterate', + 'xmlnamespaces', + 'xmlparse', + 'xmlpi', + 'xmlquery', + 'xmlserialize', + 'xmltable', + 'xmltext', + 'xmlvalidate', + 'year', + 'zone', +) + +_KEYWORDS_ODBC = ( + 'absolute', + 'action', + 'ada', + 'add', + 'all', + 'allocate', + 'alter', + 'and', + 'any', + 'are', + 'as', + 'asc', + 'assertion', + 'at', + 'authorization', + 'avg', + 'begin', + 'between', + 'bit', + 'bit_length', + 'both', + 'by', + 'cascade', + 'cascaded', + 'case', + 'cast', + 'catalog', + 'char', + 'char_length', + 'character', + 'character_length', + 'check', + 'close', + 'coalesce', + 'collate', + 'collation', + 'column', + 'commit', + 'connect', + 'connection', + 'constraint', + 'constraints', + 'continue', + 'convert', + 'corresponding', + 'count', + 'create', + 'cross', + 'current', + 'current_date', + 'current_time', + 'current_timestamp', + 'current_user', + 'cursor', + 'date', + 'day', + 'deallocate', + 'dec', + 'decimal', + 'declare', + 'default', + 'deferrable', + 'deferred', + 'delete', + 'desc', + 'describe', + 'descriptor', + 'diagnostics', + 'disconnect', + 'distinct', + 'domain', + 'double', + 'drop', + 'else', + 'end', + 'end-exec', + 'escape', + 'except', + 'exception', + 'exec', + 'execute', + 'exists', + 'external', + 'extract', + 'false', + 'fetch', + 'first', + 'float', + 'for', + 'foreign', + 'fortran', + 'found', + 'from', + 'full', + 'get', + 'global', + 'go', + 'goto', + 'grant', + 'group', + 'having', + 'hour', + 'identity', + 'immediate', + 'in', + 'include', + 'index', + 'indicator', + 'initially', + 'inner', + 'input', + 'insensitive', + 'insert', + 'int', + 'integer', + 'intersect', + 'interval', + 'into', + 'is', + 'isolation', + 'join', + 'key', + 'language', + 'last', + 'leading', + 'left', + 'level', + 'like', + 'local', + 'lower', + 'match', + 'max', + 'min', + 'minute', + 'module', + 'month', + 'names', + 'national', + 'natural', + 'nchar', + 'next', + 'no', + 'none', + 'not', + 'null', + 'nullif', + 'numeric', + 'octet_length', + 'of', + 'on', + 'only', + 'open', + 'option', + 'or', + 'order', + 'outer', + 'output', + 'overlaps', + 'pad', + 'partial', + 'pascal', + 'position', + 'precision', + 'prepare', + 'preserve', + 'primary', + 'prior', + 'privileges', + 'procedure', + 'public', + 'read', + 'real', + 'references', + 'relative', + 'restrict', + 'revoke', + 'right', + 'rollback', + 'rows', + 'schema', + 'scroll', + 'second', + 'section', + 'select', + 'session', + 'session_user', + 'set', + 'size', + 'smallint', + 'some', + 'space', + 'sql', + 'sqlca', + 'sqlcode', + 'sqlerror', + 'sqlstate', + 'sqlwarning', + 'substring', + 'sum', + 'system_user', + 'table', + 'temporary', + 'then', + 'time', + 'timestamp', + 'timezone_hour', + 'timezone_minute', + 'to', + 'trailing', + 'transaction', + 'translate', + 'translation', + 'trim', + 'true', + 'union', + 'unique', + 'unknown', + 'update', + 'upper', + 'usage', + 'user', + 'using', + 'value', + 'values', + 'varchar', + 'varying', + 'view', + 'when', + 'whenever', + 'where', + 'with', + 'work', + 'write', + 'year', + 'zone', +) + +# See https://msdn.microsoft.com/en-us/library/ms189822.aspx. +KEYWORDS = sorted(set(_KEYWORDS_FUTURE + _KEYWORDS_ODBC + _KEYWORDS_SERVER)) + +# See https://msdn.microsoft.com/en-us/library/ms187752.aspx. +TYPES = ( + 'bigint', + 'binary', + 'bit', + 'char', + 'cursor', + 'date', + 'datetime', + 'datetime2', + 'datetimeoffset', + 'decimal', + 'float', + 'hierarchyid', + 'image', + 'int', + 'money', + 'nchar', + 'ntext', + 'numeric', + 'nvarchar', + 'real', + 'smalldatetime', + 'smallint', + 'smallmoney', + 'sql_variant', + 'table', + 'text', + 'time', + 'timestamp', + 'tinyint', + 'uniqueidentifier', + 'varbinary', + 'varchar', + 'xml', +) + +# See https://msdn.microsoft.com/en-us/library/ms174318.aspx. +FUNCTIONS = ( + '$partition', + 'abs', + 'acos', + 'app_name', + 'applock_mode', + 'applock_test', + 'ascii', + 'asin', + 'assemblyproperty', + 'atan', + 'atn2', + 'avg', + 'binary_checksum', + 'cast', + 'ceiling', + 'certencoded', + 'certprivatekey', + 'char', + 'charindex', + 'checksum', + 'checksum_agg', + 'choose', + 'col_length', + 'col_name', + 'columnproperty', + 'compress', + 'concat', + 'connectionproperty', + 'context_info', + 'convert', + 'cos', + 'cot', + 'count', + 'count_big', + 'current_request_id', + 'current_timestamp', + 'current_transaction_id', + 'current_user', + 'cursor_status', + 'database_principal_id', + 'databasepropertyex', + 'dateadd', + 'datediff', + 'datediff_big', + 'datefromparts', + 'datename', + 'datepart', + 'datetime2fromparts', + 'datetimefromparts', + 'datetimeoffsetfromparts', + 'day', + 'db_id', + 'db_name', + 'decompress', + 'degrees', + 'dense_rank', + 'difference', + 'eomonth', + 'error_line', + 'error_message', + 'error_number', + 'error_procedure', + 'error_severity', + 'error_state', + 'exp', + 'file_id', + 'file_idex', + 'file_name', + 'filegroup_id', + 'filegroup_name', + 'filegroupproperty', + 'fileproperty', + 'floor', + 'format', + 'formatmessage', + 'fulltextcatalogproperty', + 'fulltextserviceproperty', + 'get_filestream_transaction_context', + 'getansinull', + 'getdate', + 'getutcdate', + 'grouping', + 'grouping_id', + 'has_perms_by_name', + 'host_id', + 'host_name', + 'iif', + 'index_col', + 'indexkey_property', + 'indexproperty', + 'is_member', + 'is_rolemember', + 'is_srvrolemember', + 'isdate', + 'isjson', + 'isnull', + 'isnumeric', + 'json_modify', + 'json_query', + 'json_value', + 'left', + 'len', + 'log', + 'log10', + 'lower', + 'ltrim', + 'max', + 'min', + 'min_active_rowversion', + 'month', + 'nchar', + 'newid', + 'newsequentialid', + 'ntile', + 'object_definition', + 'object_id', + 'object_name', + 'object_schema_name', + 'objectproperty', + 'objectpropertyex', + 'opendatasource', + 'openjson', + 'openquery', + 'openrowset', + 'openxml', + 'original_db_name', + 'original_login', + 'parse', + 'parsename', + 'patindex', + 'permissions', + 'pi', + 'power', + 'pwdcompare', + 'pwdencrypt', + 'quotename', + 'radians', + 'rand', + 'rank', + 'replace', + 'replicate', + 'reverse', + 'right', + 'round', + 'row_number', + 'rowcount_big', + 'rtrim', + 'schema_id', + 'schema_name', + 'scope_identity', + 'serverproperty', + 'session_context', + 'session_user', + 'sign', + 'sin', + 'smalldatetimefromparts', + 'soundex', + 'sp_helplanguage', + 'space', + 'sqrt', + 'square', + 'stats_date', + 'stdev', + 'stdevp', + 'str', + 'string_escape', + 'string_split', + 'stuff', + 'substring', + 'sum', + 'suser_id', + 'suser_name', + 'suser_sid', + 'suser_sname', + 'switchoffset', + 'sysdatetime', + 'sysdatetimeoffset', + 'system_user', + 'sysutcdatetime', + 'tan', + 'textptr', + 'textvalid', + 'timefromparts', + 'todatetimeoffset', + 'try_cast', + 'try_convert', + 'try_parse', + 'type_id', + 'type_name', + 'typeproperty', + 'unicode', + 'upper', + 'user_id', + 'user_name', + 'var', + 'varp', + 'xact_state', + 'year', +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_vim_builtins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_vim_builtins.py new file mode 100644 index 0000000000000000000000000000000000000000..8258628995bb95fca551f879d9126f9afd6a1607 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/_vim_builtins.py @@ -0,0 +1,1939 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers._vim_builtins + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + This file is autogenerated by scripts/get_vimkw.py + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +# Split up in multiple functions so it's importable by jython, which has a +# per-method size limit. + +def _getauto(): + var = ( + ('BufAdd','BufAdd'), + ('BufCreate','BufCreate'), + ('BufDelete','BufDelete'), + ('BufEnter','BufEnter'), + ('BufFilePost','BufFilePost'), + ('BufFilePre','BufFilePre'), + ('BufHidden','BufHidden'), + ('BufLeave','BufLeave'), + ('BufNew','BufNew'), + ('BufNewFile','BufNewFile'), + ('BufRead','BufRead'), + ('BufReadCmd','BufReadCmd'), + ('BufReadPost','BufReadPost'), + ('BufReadPre','BufReadPre'), + ('BufUnload','BufUnload'), + ('BufWinEnter','BufWinEnter'), + ('BufWinLeave','BufWinLeave'), + ('BufWipeout','BufWipeout'), + ('BufWrite','BufWrite'), + ('BufWriteCmd','BufWriteCmd'), + ('BufWritePost','BufWritePost'), + ('BufWritePre','BufWritePre'), + ('Cmd','Cmd'), + ('CmdwinEnter','CmdwinEnter'), + ('CmdwinLeave','CmdwinLeave'), + ('ColorScheme','ColorScheme'), + ('CompleteDone','CompleteDone'), + ('CursorHold','CursorHold'), + ('CursorHoldI','CursorHoldI'), + ('CursorMoved','CursorMoved'), + ('CursorMovedI','CursorMovedI'), + ('EncodingChanged','EncodingChanged'), + ('FileAppendCmd','FileAppendCmd'), + ('FileAppendPost','FileAppendPost'), + ('FileAppendPre','FileAppendPre'), + ('FileChangedRO','FileChangedRO'), + ('FileChangedShell','FileChangedShell'), + ('FileChangedShellPost','FileChangedShellPost'), + ('FileEncoding','FileEncoding'), + ('FileReadCmd','FileReadCmd'), + ('FileReadPost','FileReadPost'), + ('FileReadPre','FileReadPre'), + ('FileType','FileType'), + ('FileWriteCmd','FileWriteCmd'), + ('FileWritePost','FileWritePost'), + ('FileWritePre','FileWritePre'), + ('FilterReadPost','FilterReadPost'), + ('FilterReadPre','FilterReadPre'), + ('FilterWritePost','FilterWritePost'), + ('FilterWritePre','FilterWritePre'), + ('FocusGained','FocusGained'), + ('FocusLost','FocusLost'), + ('FuncUndefined','FuncUndefined'), + ('GUIEnter','GUIEnter'), + ('GUIFailed','GUIFailed'), + ('InsertChange','InsertChange'), + ('InsertCharPre','InsertCharPre'), + ('InsertEnter','InsertEnter'), + ('InsertLeave','InsertLeave'), + ('MenuPopup','MenuPopup'), + ('QuickFixCmdPost','QuickFixCmdPost'), + ('QuickFixCmdPre','QuickFixCmdPre'), + ('QuitPre','QuitPre'), + ('RemoteReply','RemoteReply'), + ('SessionLoadPost','SessionLoadPost'), + ('ShellCmdPost','ShellCmdPost'), + ('ShellFilterPost','ShellFilterPost'), + ('SourceCmd','SourceCmd'), + ('SourcePre','SourcePre'), + ('SpellFileMissing','SpellFileMissing'), + ('StdinReadPost','StdinReadPost'), + ('StdinReadPre','StdinReadPre'), + ('SwapExists','SwapExists'), + ('Syntax','Syntax'), + ('TabEnter','TabEnter'), + ('TabLeave','TabLeave'), + ('TermChanged','TermChanged'), + ('TermResponse','TermResponse'), + ('TextChanged','TextChanged'), + ('TextChangedI','TextChangedI'), + ('User','User'), + ('UserGettingBored','UserGettingBored'), + ('VimEnter','VimEnter'), + ('VimLeave','VimLeave'), + ('VimLeavePre','VimLeavePre'), + ('VimResized','VimResized'), + ('WinEnter','WinEnter'), + ('WinLeave','WinLeave'), + ('event','event'), + ) + return var +auto = _getauto() + +def _getcommand(): + var = ( + ('a','a'), + ('ab','ab'), + ('abc','abclear'), + ('abo','aboveleft'), + ('al','all'), + ('ar','ar'), + ('ar','args'), + ('arga','argadd'), + ('argd','argdelete'), + ('argdo','argdo'), + ('arge','argedit'), + ('argg','argglobal'), + ('argl','arglocal'), + ('argu','argument'), + ('as','ascii'), + ('au','au'), + ('b','buffer'), + ('bN','bNext'), + ('ba','ball'), + ('bad','badd'), + ('bd','bdelete'), + ('bel','belowright'), + ('bf','bfirst'), + ('bl','blast'), + ('bm','bmodified'), + ('bn','bnext'), + ('bo','botright'), + ('bp','bprevious'), + ('br','br'), + ('br','brewind'), + ('brea','break'), + ('breaka','breakadd'), + ('breakd','breakdel'), + ('breakl','breaklist'), + ('bro','browse'), + ('bu','bu'), + ('buf','buf'), + ('bufdo','bufdo'), + ('buffers','buffers'), + ('bun','bunload'), + ('bw','bwipeout'), + ('c','c'), + ('c','change'), + ('cN','cN'), + ('cN','cNext'), + ('cNf','cNf'), + ('cNf','cNfile'), + ('cabc','cabclear'), + ('cad','cad'), + ('cad','caddexpr'), + ('caddb','caddbuffer'), + ('caddf','caddfile'), + ('cal','call'), + ('cat','catch'), + ('cb','cbuffer'), + ('cc','cc'), + ('ccl','cclose'), + ('cd','cd'), + ('ce','center'), + ('cex','cexpr'), + ('cf','cfile'), + ('cfir','cfirst'), + ('cg','cgetfile'), + ('cgetb','cgetbuffer'), + ('cgete','cgetexpr'), + ('changes','changes'), + ('chd','chdir'), + ('che','checkpath'), + ('checkt','checktime'), + ('cl','cl'), + ('cl','clist'), + ('cla','clast'), + ('clo','close'), + ('cmapc','cmapclear'), + ('cn','cn'), + ('cn','cnext'), + ('cnew','cnewer'), + ('cnf','cnf'), + ('cnf','cnfile'), + ('co','copy'), + ('col','colder'), + ('colo','colorscheme'), + ('com','com'), + ('comc','comclear'), + ('comp','compiler'), + ('con','con'), + ('con','continue'), + ('conf','confirm'), + ('cope','copen'), + ('cp','cprevious'), + ('cpf','cpfile'), + ('cq','cquit'), + ('cr','crewind'), + ('cs','cs'), + ('cscope','cscope'), + ('cstag','cstag'), + ('cuna','cunabbrev'), + ('cw','cwindow'), + ('d','d'), + ('d','delete'), + ('de','de'), + ('debug','debug'), + ('debugg','debuggreedy'), + ('del','del'), + ('delc','delcommand'), + ('delel','delel'), + ('delep','delep'), + ('deletel','deletel'), + ('deletep','deletep'), + ('deletl','deletl'), + ('deletp','deletp'), + ('delf','delf'), + ('delf','delfunction'), + ('dell','dell'), + ('delm','delmarks'), + ('delp','delp'), + ('dep','dep'), + ('di','di'), + ('di','display'), + ('diffg','diffget'), + ('diffo','diffoff'), + ('diffp','diffpatch'), + ('diffpu','diffput'), + ('diffs','diffsplit'), + ('difft','diffthis'), + ('diffu','diffupdate'), + ('dig','dig'), + ('dig','digraphs'), + ('dir','dir'), + ('dj','djump'), + ('dl','dl'), + ('dli','dlist'), + ('do','do'), + ('doau','doau'), + ('dp','dp'), + ('dr','drop'), + ('ds','dsearch'), + ('dsp','dsplit'), + ('e','e'), + ('e','edit'), + ('ea','ea'), + ('earlier','earlier'), + ('ec','ec'), + ('echoe','echoerr'), + ('echom','echomsg'), + ('echon','echon'), + ('el','else'), + ('elsei','elseif'), + ('em','emenu'), + ('en','en'), + ('en','endif'), + ('endf','endf'), + ('endf','endfunction'), + ('endfo','endfor'), + ('endfun','endfun'), + ('endt','endtry'), + ('endw','endwhile'), + ('ene','enew'), + ('ex','ex'), + ('exi','exit'), + ('exu','exusage'), + ('f','f'), + ('f','file'), + ('files','files'), + ('filet','filet'), + ('filetype','filetype'), + ('fin','fin'), + ('fin','find'), + ('fina','finally'), + ('fini','finish'), + ('fir','first'), + ('fix','fixdel'), + ('fo','fold'), + ('foldc','foldclose'), + ('foldd','folddoopen'), + ('folddoc','folddoclosed'), + ('foldo','foldopen'), + ('for','for'), + ('fu','fu'), + ('fu','function'), + ('fun','fun'), + ('g','g'), + ('go','goto'), + ('gr','grep'), + ('grepa','grepadd'), + ('gui','gui'), + ('gvim','gvim'), + ('h','h'), + ('h','help'), + ('ha','hardcopy'), + ('helpf','helpfind'), + ('helpg','helpgrep'), + ('helpt','helptags'), + ('hi','hi'), + ('hid','hide'), + ('his','history'), + ('i','i'), + ('ia','ia'), + ('iabc','iabclear'), + ('if','if'), + ('ij','ijump'), + ('il','ilist'), + ('imapc','imapclear'), + ('in','in'), + ('intro','intro'), + ('is','isearch'), + ('isp','isplit'), + ('iuna','iunabbrev'), + ('j','join'), + ('ju','jumps'), + ('k','k'), + ('kee','keepmarks'), + ('keepa','keepa'), + ('keepalt','keepalt'), + ('keepj','keepjumps'), + ('keepp','keeppatterns'), + ('l','l'), + ('l','list'), + ('lN','lN'), + ('lN','lNext'), + ('lNf','lNf'), + ('lNf','lNfile'), + ('la','la'), + ('la','last'), + ('lad','lad'), + ('lad','laddexpr'), + ('laddb','laddbuffer'), + ('laddf','laddfile'), + ('lan','lan'), + ('lan','language'), + ('lat','lat'), + ('later','later'), + ('lb','lbuffer'), + ('lc','lcd'), + ('lch','lchdir'), + ('lcl','lclose'), + ('lcs','lcs'), + ('lcscope','lcscope'), + ('le','left'), + ('lefta','leftabove'), + ('lex','lexpr'), + ('lf','lfile'), + ('lfir','lfirst'), + ('lg','lgetfile'), + ('lgetb','lgetbuffer'), + ('lgete','lgetexpr'), + ('lgr','lgrep'), + ('lgrepa','lgrepadd'), + ('lh','lhelpgrep'), + ('ll','ll'), + ('lla','llast'), + ('lli','llist'), + ('lmak','lmake'), + ('lmapc','lmapclear'), + ('lne','lne'), + ('lne','lnext'), + ('lnew','lnewer'), + ('lnf','lnf'), + ('lnf','lnfile'), + ('lo','lo'), + ('lo','loadview'), + ('loadk','loadk'), + ('loadkeymap','loadkeymap'), + ('loc','lockmarks'), + ('lockv','lockvar'), + ('lol','lolder'), + ('lop','lopen'), + ('lp','lprevious'), + ('lpf','lpfile'), + ('lr','lrewind'), + ('ls','ls'), + ('lt','ltag'), + ('lua','lua'), + ('luado','luado'), + ('luafile','luafile'), + ('lv','lvimgrep'), + ('lvimgrepa','lvimgrepadd'), + ('lw','lwindow'), + ('m','move'), + ('ma','ma'), + ('ma','mark'), + ('mak','make'), + ('marks','marks'), + ('mat','match'), + ('menut','menut'), + ('menut','menutranslate'), + ('mes','mes'), + ('messages','messages'), + ('mk','mk'), + ('mk','mkexrc'), + ('mks','mksession'), + ('mksp','mkspell'), + ('mkv','mkv'), + ('mkv','mkvimrc'), + ('mkvie','mkview'), + ('mo','mo'), + ('mod','mode'), + ('mz','mz'), + ('mz','mzscheme'), + ('mzf','mzfile'), + ('n','n'), + ('n','next'), + ('nb','nbkey'), + ('nbc','nbclose'), + ('nbs','nbstart'), + ('ne','ne'), + ('new','new'), + ('nmapc','nmapclear'), + ('noa','noa'), + ('noautocmd','noautocmd'), + ('noh','nohlsearch'), + ('nu','number'), + ('o','o'), + ('o','open'), + ('ol','oldfiles'), + ('omapc','omapclear'), + ('on','only'), + ('opt','options'), + ('ownsyntax','ownsyntax'), + ('p','p'), + ('p','print'), + ('pc','pclose'), + ('pe','pe'), + ('pe','perl'), + ('ped','pedit'), + ('perld','perldo'), + ('po','pop'), + ('popu','popu'), + ('popu','popup'), + ('pp','ppop'), + ('pr','pr'), + ('pre','preserve'), + ('prev','previous'), + ('pro','pro'), + ('prof','profile'), + ('profd','profdel'), + ('promptf','promptfind'), + ('promptr','promptrepl'), + ('ps','psearch'), + ('ptN','ptN'), + ('ptN','ptNext'), + ('pta','ptag'), + ('ptf','ptfirst'), + ('ptj','ptjump'), + ('ptl','ptlast'), + ('ptn','ptn'), + ('ptn','ptnext'), + ('ptp','ptprevious'), + ('ptr','ptrewind'), + ('pts','ptselect'), + ('pu','put'), + ('pw','pwd'), + ('py','py'), + ('py','python'), + ('py3','py3'), + ('py3','py3'), + ('py3do','py3do'), + ('pydo','pydo'), + ('pyf','pyfile'), + ('python3','python3'), + ('q','q'), + ('q','quit'), + ('qa','qall'), + ('quita','quitall'), + ('r','r'), + ('r','read'), + ('re','re'), + ('rec','recover'), + ('red','red'), + ('red','redo'), + ('redi','redir'), + ('redr','redraw'), + ('redraws','redrawstatus'), + ('reg','registers'), + ('res','resize'), + ('ret','retab'), + ('retu','return'), + ('rew','rewind'), + ('ri','right'), + ('rightb','rightbelow'), + ('ru','ru'), + ('ru','runtime'), + ('rub','ruby'), + ('rubyd','rubydo'), + ('rubyf','rubyfile'), + ('rundo','rundo'), + ('rv','rviminfo'), + ('sN','sNext'), + ('sa','sargument'), + ('sal','sall'), + ('san','sandbox'), + ('sav','saveas'), + ('sb','sbuffer'), + ('sbN','sbNext'), + ('sba','sball'), + ('sbf','sbfirst'), + ('sbl','sblast'), + ('sbm','sbmodified'), + ('sbn','sbnext'), + ('sbp','sbprevious'), + ('sbr','sbrewind'), + ('scrip','scrip'), + ('scrip','scriptnames'), + ('scripte','scriptencoding'), + ('scs','scs'), + ('scscope','scscope'), + ('se','set'), + ('setf','setfiletype'), + ('setg','setglobal'), + ('setl','setlocal'), + ('sf','sfind'), + ('sfir','sfirst'), + ('sh','shell'), + ('si','si'), + ('sig','sig'), + ('sign','sign'), + ('sil','silent'), + ('sim','simalt'), + ('sl','sl'), + ('sl','sleep'), + ('sla','slast'), + ('sm','smagic'), + ('sm','smap'), + ('sme','sme'), + ('smenu','smenu'), + ('sn','snext'), + ('sni','sniff'), + ('sno','snomagic'), + ('snoreme','snoreme'), + ('snoremenu','snoremenu'), + ('so','so'), + ('so','source'), + ('sor','sort'), + ('sp','split'), + ('spe','spe'), + ('spe','spellgood'), + ('spelld','spelldump'), + ('spelli','spellinfo'), + ('spellr','spellrepall'), + ('spellu','spellundo'), + ('spellw','spellwrong'), + ('spr','sprevious'), + ('sre','srewind'), + ('st','st'), + ('st','stop'), + ('sta','stag'), + ('star','star'), + ('star','startinsert'), + ('start','start'), + ('startg','startgreplace'), + ('startr','startreplace'), + ('stj','stjump'), + ('stopi','stopinsert'), + ('sts','stselect'), + ('sun','sunhide'), + ('sunme','sunme'), + ('sunmenu','sunmenu'), + ('sus','suspend'), + ('sv','sview'), + ('sw','swapname'), + ('sy','sy'), + ('syn','syn'), + ('sync','sync'), + ('syncbind','syncbind'), + ('syntime','syntime'), + ('t','t'), + ('tN','tN'), + ('tN','tNext'), + ('ta','ta'), + ('ta','tag'), + ('tab','tab'), + ('tabN','tabN'), + ('tabN','tabNext'), + ('tabc','tabclose'), + ('tabd','tabdo'), + ('tabe','tabedit'), + ('tabf','tabfind'), + ('tabfir','tabfirst'), + ('tabl','tablast'), + ('tabm','tabmove'), + ('tabn','tabnext'), + ('tabnew','tabnew'), + ('tabo','tabonly'), + ('tabp','tabprevious'), + ('tabr','tabrewind'), + ('tabs','tabs'), + ('tags','tags'), + ('tc','tcl'), + ('tcld','tcldo'), + ('tclf','tclfile'), + ('te','tearoff'), + ('tf','tfirst'), + ('th','throw'), + ('tj','tjump'), + ('tl','tlast'), + ('tm','tm'), + ('tm','tmenu'), + ('tn','tn'), + ('tn','tnext'), + ('to','topleft'), + ('tp','tprevious'), + ('tr','tr'), + ('tr','trewind'), + ('try','try'), + ('ts','tselect'), + ('tu','tu'), + ('tu','tunmenu'), + ('u','u'), + ('u','undo'), + ('un','un'), + ('una','unabbreviate'), + ('undoj','undojoin'), + ('undol','undolist'), + ('unh','unhide'), + ('unl','unl'), + ('unlo','unlockvar'), + ('uns','unsilent'), + ('up','update'), + ('v','v'), + ('ve','ve'), + ('ve','version'), + ('verb','verbose'), + ('vert','vertical'), + ('vi','vi'), + ('vi','visual'), + ('vie','view'), + ('vim','vimgrep'), + ('vimgrepa','vimgrepadd'), + ('viu','viusage'), + ('vmapc','vmapclear'), + ('vne','vnew'), + ('vs','vsplit'), + ('w','w'), + ('w','write'), + ('wN','wNext'), + ('wa','wall'), + ('wh','while'), + ('win','win'), + ('win','winsize'), + ('winc','wincmd'), + ('windo','windo'), + ('winp','winpos'), + ('wn','wnext'), + ('wp','wprevious'), + ('wq','wq'), + ('wqa','wqall'), + ('ws','wsverb'), + ('wundo','wundo'), + ('wv','wviminfo'), + ('x','x'), + ('x','xit'), + ('xa','xall'), + ('xmapc','xmapclear'), + ('xme','xme'), + ('xmenu','xmenu'), + ('xnoreme','xnoreme'), + ('xnoremenu','xnoremenu'), + ('xunme','xunme'), + ('xunmenu','xunmenu'), + ('xwininfo','xwininfo'), + ('y','yank'), + ) + return var +command = _getcommand() + +def _getoption(): + var = ( + ('acd','acd'), + ('ai','ai'), + ('akm','akm'), + ('al','al'), + ('aleph','aleph'), + ('allowrevins','allowrevins'), + ('altkeymap','altkeymap'), + ('ambiwidth','ambiwidth'), + ('ambw','ambw'), + ('anti','anti'), + ('antialias','antialias'), + ('ar','ar'), + ('arab','arab'), + ('arabic','arabic'), + ('arabicshape','arabicshape'), + ('ari','ari'), + ('arshape','arshape'), + ('autochdir','autochdir'), + ('autoindent','autoindent'), + ('autoread','autoread'), + ('autowrite','autowrite'), + ('autowriteall','autowriteall'), + ('aw','aw'), + ('awa','awa'), + ('background','background'), + ('backspace','backspace'), + ('backup','backup'), + ('backupcopy','backupcopy'), + ('backupdir','backupdir'), + ('backupext','backupext'), + ('backupskip','backupskip'), + ('balloondelay','balloondelay'), + ('ballooneval','ballooneval'), + ('balloonexpr','balloonexpr'), + ('bdir','bdir'), + ('bdlay','bdlay'), + ('beval','beval'), + ('bex','bex'), + ('bexpr','bexpr'), + ('bg','bg'), + ('bh','bh'), + ('bin','bin'), + ('binary','binary'), + ('biosk','biosk'), + ('bioskey','bioskey'), + ('bk','bk'), + ('bkc','bkc'), + ('bl','bl'), + ('bomb','bomb'), + ('breakat','breakat'), + ('brk','brk'), + ('browsedir','browsedir'), + ('bs','bs'), + ('bsdir','bsdir'), + ('bsk','bsk'), + ('bt','bt'), + ('bufhidden','bufhidden'), + ('buflisted','buflisted'), + ('buftype','buftype'), + ('casemap','casemap'), + ('cb','cb'), + ('cc','cc'), + ('ccv','ccv'), + ('cd','cd'), + ('cdpath','cdpath'), + ('cedit','cedit'), + ('cf','cf'), + ('cfu','cfu'), + ('ch','ch'), + ('charconvert','charconvert'), + ('ci','ci'), + ('cin','cin'), + ('cindent','cindent'), + ('cink','cink'), + ('cinkeys','cinkeys'), + ('cino','cino'), + ('cinoptions','cinoptions'), + ('cinw','cinw'), + ('cinwords','cinwords'), + ('clipboard','clipboard'), + ('cmdheight','cmdheight'), + ('cmdwinheight','cmdwinheight'), + ('cmp','cmp'), + ('cms','cms'), + ('co','co'), + ('cocu','cocu'), + ('cole','cole'), + ('colorcolumn','colorcolumn'), + ('columns','columns'), + ('com','com'), + ('comments','comments'), + ('commentstring','commentstring'), + ('compatible','compatible'), + ('complete','complete'), + ('completefunc','completefunc'), + ('completeopt','completeopt'), + ('concealcursor','concealcursor'), + ('conceallevel','conceallevel'), + ('confirm','confirm'), + ('consk','consk'), + ('conskey','conskey'), + ('copyindent','copyindent'), + ('cot','cot'), + ('cp','cp'), + ('cpo','cpo'), + ('cpoptions','cpoptions'), + ('cpt','cpt'), + ('crb','crb'), + ('cryptmethod','cryptmethod'), + ('cscopepathcomp','cscopepathcomp'), + ('cscopeprg','cscopeprg'), + ('cscopequickfix','cscopequickfix'), + ('cscoperelative','cscoperelative'), + ('cscopetag','cscopetag'), + ('cscopetagorder','cscopetagorder'), + ('cscopeverbose','cscopeverbose'), + ('cspc','cspc'), + ('csprg','csprg'), + ('csqf','csqf'), + ('csre','csre'), + ('cst','cst'), + ('csto','csto'), + ('csverb','csverb'), + ('cuc','cuc'), + ('cul','cul'), + ('cursorbind','cursorbind'), + ('cursorcolumn','cursorcolumn'), + ('cursorline','cursorline'), + ('cwh','cwh'), + ('debug','debug'), + ('deco','deco'), + ('def','def'), + ('define','define'), + ('delcombine','delcombine'), + ('dex','dex'), + ('dg','dg'), + ('dict','dict'), + ('dictionary','dictionary'), + ('diff','diff'), + ('diffexpr','diffexpr'), + ('diffopt','diffopt'), + ('digraph','digraph'), + ('dip','dip'), + ('dir','dir'), + ('directory','directory'), + ('display','display'), + ('dy','dy'), + ('ea','ea'), + ('ead','ead'), + ('eadirection','eadirection'), + ('eb','eb'), + ('ed','ed'), + ('edcompatible','edcompatible'), + ('ef','ef'), + ('efm','efm'), + ('ei','ei'), + ('ek','ek'), + ('enc','enc'), + ('encoding','encoding'), + ('endofline','endofline'), + ('eol','eol'), + ('ep','ep'), + ('equalalways','equalalways'), + ('equalprg','equalprg'), + ('errorbells','errorbells'), + ('errorfile','errorfile'), + ('errorformat','errorformat'), + ('esckeys','esckeys'), + ('et','et'), + ('eventignore','eventignore'), + ('ex','ex'), + ('expandtab','expandtab'), + ('exrc','exrc'), + ('fcl','fcl'), + ('fcs','fcs'), + ('fdc','fdc'), + ('fde','fde'), + ('fdi','fdi'), + ('fdl','fdl'), + ('fdls','fdls'), + ('fdm','fdm'), + ('fdn','fdn'), + ('fdo','fdo'), + ('fdt','fdt'), + ('fen','fen'), + ('fenc','fenc'), + ('fencs','fencs'), + ('fex','fex'), + ('ff','ff'), + ('ffs','ffs'), + ('fic','fic'), + ('fileencoding','fileencoding'), + ('fileencodings','fileencodings'), + ('fileformat','fileformat'), + ('fileformats','fileformats'), + ('fileignorecase','fileignorecase'), + ('filetype','filetype'), + ('fillchars','fillchars'), + ('fk','fk'), + ('fkmap','fkmap'), + ('flp','flp'), + ('fml','fml'), + ('fmr','fmr'), + ('fo','fo'), + ('foldclose','foldclose'), + ('foldcolumn','foldcolumn'), + ('foldenable','foldenable'), + ('foldexpr','foldexpr'), + ('foldignore','foldignore'), + ('foldlevel','foldlevel'), + ('foldlevelstart','foldlevelstart'), + ('foldmarker','foldmarker'), + ('foldmethod','foldmethod'), + ('foldminlines','foldminlines'), + ('foldnestmax','foldnestmax'), + ('foldopen','foldopen'), + ('foldtext','foldtext'), + ('formatexpr','formatexpr'), + ('formatlistpat','formatlistpat'), + ('formatoptions','formatoptions'), + ('formatprg','formatprg'), + ('fp','fp'), + ('fs','fs'), + ('fsync','fsync'), + ('ft','ft'), + ('gcr','gcr'), + ('gd','gd'), + ('gdefault','gdefault'), + ('gfm','gfm'), + ('gfn','gfn'), + ('gfs','gfs'), + ('gfw','gfw'), + ('ghr','ghr'), + ('go','go'), + ('gp','gp'), + ('grepformat','grepformat'), + ('grepprg','grepprg'), + ('gtl','gtl'), + ('gtt','gtt'), + ('guicursor','guicursor'), + ('guifont','guifont'), + ('guifontset','guifontset'), + ('guifontwide','guifontwide'), + ('guiheadroom','guiheadroom'), + ('guioptions','guioptions'), + ('guipty','guipty'), + ('guitablabel','guitablabel'), + ('guitabtooltip','guitabtooltip'), + ('helpfile','helpfile'), + ('helpheight','helpheight'), + ('helplang','helplang'), + ('hf','hf'), + ('hh','hh'), + ('hi','hi'), + ('hid','hid'), + ('hidden','hidden'), + ('highlight','highlight'), + ('history','history'), + ('hk','hk'), + ('hkmap','hkmap'), + ('hkmapp','hkmapp'), + ('hkp','hkp'), + ('hl','hl'), + ('hlg','hlg'), + ('hls','hls'), + ('hlsearch','hlsearch'), + ('ic','ic'), + ('icon','icon'), + ('iconstring','iconstring'), + ('ignorecase','ignorecase'), + ('im','im'), + ('imactivatefunc','imactivatefunc'), + ('imactivatekey','imactivatekey'), + ('imaf','imaf'), + ('imak','imak'), + ('imc','imc'), + ('imcmdline','imcmdline'), + ('imd','imd'), + ('imdisable','imdisable'), + ('imi','imi'), + ('iminsert','iminsert'), + ('ims','ims'), + ('imsearch','imsearch'), + ('imsf','imsf'), + ('imstatusfunc','imstatusfunc'), + ('inc','inc'), + ('include','include'), + ('includeexpr','includeexpr'), + ('incsearch','incsearch'), + ('inde','inde'), + ('indentexpr','indentexpr'), + ('indentkeys','indentkeys'), + ('indk','indk'), + ('inex','inex'), + ('inf','inf'), + ('infercase','infercase'), + ('inoremap','inoremap'), + ('insertmode','insertmode'), + ('invacd','invacd'), + ('invai','invai'), + ('invakm','invakm'), + ('invallowrevins','invallowrevins'), + ('invaltkeymap','invaltkeymap'), + ('invanti','invanti'), + ('invantialias','invantialias'), + ('invar','invar'), + ('invarab','invarab'), + ('invarabic','invarabic'), + ('invarabicshape','invarabicshape'), + ('invari','invari'), + ('invarshape','invarshape'), + ('invautochdir','invautochdir'), + ('invautoindent','invautoindent'), + ('invautoread','invautoread'), + ('invautowrite','invautowrite'), + ('invautowriteall','invautowriteall'), + ('invaw','invaw'), + ('invawa','invawa'), + ('invbackup','invbackup'), + ('invballooneval','invballooneval'), + ('invbeval','invbeval'), + ('invbin','invbin'), + ('invbinary','invbinary'), + ('invbiosk','invbiosk'), + ('invbioskey','invbioskey'), + ('invbk','invbk'), + ('invbl','invbl'), + ('invbomb','invbomb'), + ('invbuflisted','invbuflisted'), + ('invcf','invcf'), + ('invci','invci'), + ('invcin','invcin'), + ('invcindent','invcindent'), + ('invcompatible','invcompatible'), + ('invconfirm','invconfirm'), + ('invconsk','invconsk'), + ('invconskey','invconskey'), + ('invcopyindent','invcopyindent'), + ('invcp','invcp'), + ('invcrb','invcrb'), + ('invcscoperelative','invcscoperelative'), + ('invcscopetag','invcscopetag'), + ('invcscopeverbose','invcscopeverbose'), + ('invcsre','invcsre'), + ('invcst','invcst'), + ('invcsverb','invcsverb'), + ('invcuc','invcuc'), + ('invcul','invcul'), + ('invcursorbind','invcursorbind'), + ('invcursorcolumn','invcursorcolumn'), + ('invcursorline','invcursorline'), + ('invdeco','invdeco'), + ('invdelcombine','invdelcombine'), + ('invdg','invdg'), + ('invdiff','invdiff'), + ('invdigraph','invdigraph'), + ('invea','invea'), + ('inveb','inveb'), + ('inved','inved'), + ('invedcompatible','invedcompatible'), + ('invek','invek'), + ('invendofline','invendofline'), + ('inveol','inveol'), + ('invequalalways','invequalalways'), + ('inverrorbells','inverrorbells'), + ('invesckeys','invesckeys'), + ('invet','invet'), + ('invex','invex'), + ('invexpandtab','invexpandtab'), + ('invexrc','invexrc'), + ('invfen','invfen'), + ('invfic','invfic'), + ('invfileignorecase','invfileignorecase'), + ('invfk','invfk'), + ('invfkmap','invfkmap'), + ('invfoldenable','invfoldenable'), + ('invgd','invgd'), + ('invgdefault','invgdefault'), + ('invguipty','invguipty'), + ('invhid','invhid'), + ('invhidden','invhidden'), + ('invhk','invhk'), + ('invhkmap','invhkmap'), + ('invhkmapp','invhkmapp'), + ('invhkp','invhkp'), + ('invhls','invhls'), + ('invhlsearch','invhlsearch'), + ('invic','invic'), + ('invicon','invicon'), + ('invignorecase','invignorecase'), + ('invim','invim'), + ('invimc','invimc'), + ('invimcmdline','invimcmdline'), + ('invimd','invimd'), + ('invimdisable','invimdisable'), + ('invincsearch','invincsearch'), + ('invinf','invinf'), + ('invinfercase','invinfercase'), + ('invinsertmode','invinsertmode'), + ('invis','invis'), + ('invjoinspaces','invjoinspaces'), + ('invjs','invjs'), + ('invlazyredraw','invlazyredraw'), + ('invlbr','invlbr'), + ('invlinebreak','invlinebreak'), + ('invlisp','invlisp'), + ('invlist','invlist'), + ('invloadplugins','invloadplugins'), + ('invlpl','invlpl'), + ('invlz','invlz'), + ('invma','invma'), + ('invmacatsui','invmacatsui'), + ('invmagic','invmagic'), + ('invmh','invmh'), + ('invml','invml'), + ('invmod','invmod'), + ('invmodeline','invmodeline'), + ('invmodifiable','invmodifiable'), + ('invmodified','invmodified'), + ('invmore','invmore'), + ('invmousef','invmousef'), + ('invmousefocus','invmousefocus'), + ('invmousehide','invmousehide'), + ('invnu','invnu'), + ('invnumber','invnumber'), + ('invodev','invodev'), + ('invopendevice','invopendevice'), + ('invpaste','invpaste'), + ('invpi','invpi'), + ('invpreserveindent','invpreserveindent'), + ('invpreviewwindow','invpreviewwindow'), + ('invprompt','invprompt'), + ('invpvw','invpvw'), + ('invreadonly','invreadonly'), + ('invrelativenumber','invrelativenumber'), + ('invremap','invremap'), + ('invrestorescreen','invrestorescreen'), + ('invrevins','invrevins'), + ('invri','invri'), + ('invrightleft','invrightleft'), + ('invrl','invrl'), + ('invrnu','invrnu'), + ('invro','invro'), + ('invrs','invrs'), + ('invru','invru'), + ('invruler','invruler'), + ('invsb','invsb'), + ('invsc','invsc'), + ('invscb','invscb'), + ('invscrollbind','invscrollbind'), + ('invscs','invscs'), + ('invsecure','invsecure'), + ('invsft','invsft'), + ('invshellslash','invshellslash'), + ('invshelltemp','invshelltemp'), + ('invshiftround','invshiftround'), + ('invshortname','invshortname'), + ('invshowcmd','invshowcmd'), + ('invshowfulltag','invshowfulltag'), + ('invshowmatch','invshowmatch'), + ('invshowmode','invshowmode'), + ('invsi','invsi'), + ('invsm','invsm'), + ('invsmartcase','invsmartcase'), + ('invsmartindent','invsmartindent'), + ('invsmarttab','invsmarttab'), + ('invsmd','invsmd'), + ('invsn','invsn'), + ('invsol','invsol'), + ('invspell','invspell'), + ('invsplitbelow','invsplitbelow'), + ('invsplitright','invsplitright'), + ('invspr','invspr'), + ('invsr','invsr'), + ('invssl','invssl'), + ('invsta','invsta'), + ('invstartofline','invstartofline'), + ('invstmp','invstmp'), + ('invswapfile','invswapfile'), + ('invswf','invswf'), + ('invta','invta'), + ('invtagbsearch','invtagbsearch'), + ('invtagrelative','invtagrelative'), + ('invtagstack','invtagstack'), + ('invtbi','invtbi'), + ('invtbidi','invtbidi'), + ('invtbs','invtbs'), + ('invtermbidi','invtermbidi'), + ('invterse','invterse'), + ('invtextauto','invtextauto'), + ('invtextmode','invtextmode'), + ('invtf','invtf'), + ('invtgst','invtgst'), + ('invtildeop','invtildeop'), + ('invtimeout','invtimeout'), + ('invtitle','invtitle'), + ('invto','invto'), + ('invtop','invtop'), + ('invtr','invtr'), + ('invttimeout','invttimeout'), + ('invttybuiltin','invttybuiltin'), + ('invttyfast','invttyfast'), + ('invtx','invtx'), + ('invudf','invudf'), + ('invundofile','invundofile'), + ('invvb','invvb'), + ('invvisualbell','invvisualbell'), + ('invwa','invwa'), + ('invwarn','invwarn'), + ('invwb','invwb'), + ('invweirdinvert','invweirdinvert'), + ('invwfh','invwfh'), + ('invwfw','invwfw'), + ('invwic','invwic'), + ('invwildignorecase','invwildignorecase'), + ('invwildmenu','invwildmenu'), + ('invwinfixheight','invwinfixheight'), + ('invwinfixwidth','invwinfixwidth'), + ('invwiv','invwiv'), + ('invwmnu','invwmnu'), + ('invwrap','invwrap'), + ('invwrapscan','invwrapscan'), + ('invwrite','invwrite'), + ('invwriteany','invwriteany'), + ('invwritebackup','invwritebackup'), + ('invws','invws'), + ('is','is'), + ('isf','isf'), + ('isfname','isfname'), + ('isi','isi'), + ('isident','isident'), + ('isk','isk'), + ('iskeyword','iskeyword'), + ('isp','isp'), + ('isprint','isprint'), + ('joinspaces','joinspaces'), + ('js','js'), + ('key','key'), + ('keymap','keymap'), + ('keymodel','keymodel'), + ('keywordprg','keywordprg'), + ('km','km'), + ('kmp','kmp'), + ('kp','kp'), + ('langmap','langmap'), + ('langmenu','langmenu'), + ('laststatus','laststatus'), + ('lazyredraw','lazyredraw'), + ('lbr','lbr'), + ('lcs','lcs'), + ('linebreak','linebreak'), + ('lines','lines'), + ('linespace','linespace'), + ('lisp','lisp'), + ('lispwords','lispwords'), + ('list','list'), + ('listchars','listchars'), + ('lm','lm'), + ('lmap','lmap'), + ('loadplugins','loadplugins'), + ('lpl','lpl'), + ('ls','ls'), + ('lsp','lsp'), + ('lw','lw'), + ('lz','lz'), + ('ma','ma'), + ('macatsui','macatsui'), + ('magic','magic'), + ('makeef','makeef'), + ('makeprg','makeprg'), + ('mat','mat'), + ('matchpairs','matchpairs'), + ('matchtime','matchtime'), + ('maxcombine','maxcombine'), + ('maxfuncdepth','maxfuncdepth'), + ('maxmapdepth','maxmapdepth'), + ('maxmem','maxmem'), + ('maxmempattern','maxmempattern'), + ('maxmemtot','maxmemtot'), + ('mco','mco'), + ('mef','mef'), + ('menuitems','menuitems'), + ('mfd','mfd'), + ('mh','mh'), + ('mis','mis'), + ('mkspellmem','mkspellmem'), + ('ml','ml'), + ('mls','mls'), + ('mm','mm'), + ('mmd','mmd'), + ('mmp','mmp'), + ('mmt','mmt'), + ('mod','mod'), + ('modeline','modeline'), + ('modelines','modelines'), + ('modifiable','modifiable'), + ('modified','modified'), + ('more','more'), + ('mouse','mouse'), + ('mousef','mousef'), + ('mousefocus','mousefocus'), + ('mousehide','mousehide'), + ('mousem','mousem'), + ('mousemodel','mousemodel'), + ('mouses','mouses'), + ('mouseshape','mouseshape'), + ('mouset','mouset'), + ('mousetime','mousetime'), + ('mp','mp'), + ('mps','mps'), + ('msm','msm'), + ('mzq','mzq'), + ('mzquantum','mzquantum'), + ('nf','nf'), + ('nnoremap','nnoremap'), + ('noacd','noacd'), + ('noai','noai'), + ('noakm','noakm'), + ('noallowrevins','noallowrevins'), + ('noaltkeymap','noaltkeymap'), + ('noanti','noanti'), + ('noantialias','noantialias'), + ('noar','noar'), + ('noarab','noarab'), + ('noarabic','noarabic'), + ('noarabicshape','noarabicshape'), + ('noari','noari'), + ('noarshape','noarshape'), + ('noautochdir','noautochdir'), + ('noautoindent','noautoindent'), + ('noautoread','noautoread'), + ('noautowrite','noautowrite'), + ('noautowriteall','noautowriteall'), + ('noaw','noaw'), + ('noawa','noawa'), + ('nobackup','nobackup'), + ('noballooneval','noballooneval'), + ('nobeval','nobeval'), + ('nobin','nobin'), + ('nobinary','nobinary'), + ('nobiosk','nobiosk'), + ('nobioskey','nobioskey'), + ('nobk','nobk'), + ('nobl','nobl'), + ('nobomb','nobomb'), + ('nobuflisted','nobuflisted'), + ('nocf','nocf'), + ('noci','noci'), + ('nocin','nocin'), + ('nocindent','nocindent'), + ('nocompatible','nocompatible'), + ('noconfirm','noconfirm'), + ('noconsk','noconsk'), + ('noconskey','noconskey'), + ('nocopyindent','nocopyindent'), + ('nocp','nocp'), + ('nocrb','nocrb'), + ('nocscoperelative','nocscoperelative'), + ('nocscopetag','nocscopetag'), + ('nocscopeverbose','nocscopeverbose'), + ('nocsre','nocsre'), + ('nocst','nocst'), + ('nocsverb','nocsverb'), + ('nocuc','nocuc'), + ('nocul','nocul'), + ('nocursorbind','nocursorbind'), + ('nocursorcolumn','nocursorcolumn'), + ('nocursorline','nocursorline'), + ('nodeco','nodeco'), + ('nodelcombine','nodelcombine'), + ('nodg','nodg'), + ('nodiff','nodiff'), + ('nodigraph','nodigraph'), + ('noea','noea'), + ('noeb','noeb'), + ('noed','noed'), + ('noedcompatible','noedcompatible'), + ('noek','noek'), + ('noendofline','noendofline'), + ('noeol','noeol'), + ('noequalalways','noequalalways'), + ('noerrorbells','noerrorbells'), + ('noesckeys','noesckeys'), + ('noet','noet'), + ('noex','noex'), + ('noexpandtab','noexpandtab'), + ('noexrc','noexrc'), + ('nofen','nofen'), + ('nofic','nofic'), + ('nofileignorecase','nofileignorecase'), + ('nofk','nofk'), + ('nofkmap','nofkmap'), + ('nofoldenable','nofoldenable'), + ('nogd','nogd'), + ('nogdefault','nogdefault'), + ('noguipty','noguipty'), + ('nohid','nohid'), + ('nohidden','nohidden'), + ('nohk','nohk'), + ('nohkmap','nohkmap'), + ('nohkmapp','nohkmapp'), + ('nohkp','nohkp'), + ('nohls','nohls'), + ('nohlsearch','nohlsearch'), + ('noic','noic'), + ('noicon','noicon'), + ('noignorecase','noignorecase'), + ('noim','noim'), + ('noimc','noimc'), + ('noimcmdline','noimcmdline'), + ('noimd','noimd'), + ('noimdisable','noimdisable'), + ('noincsearch','noincsearch'), + ('noinf','noinf'), + ('noinfercase','noinfercase'), + ('noinsertmode','noinsertmode'), + ('nois','nois'), + ('nojoinspaces','nojoinspaces'), + ('nojs','nojs'), + ('nolazyredraw','nolazyredraw'), + ('nolbr','nolbr'), + ('nolinebreak','nolinebreak'), + ('nolisp','nolisp'), + ('nolist','nolist'), + ('noloadplugins','noloadplugins'), + ('nolpl','nolpl'), + ('nolz','nolz'), + ('noma','noma'), + ('nomacatsui','nomacatsui'), + ('nomagic','nomagic'), + ('nomh','nomh'), + ('noml','noml'), + ('nomod','nomod'), + ('nomodeline','nomodeline'), + ('nomodifiable','nomodifiable'), + ('nomodified','nomodified'), + ('nomore','nomore'), + ('nomousef','nomousef'), + ('nomousefocus','nomousefocus'), + ('nomousehide','nomousehide'), + ('nonu','nonu'), + ('nonumber','nonumber'), + ('noodev','noodev'), + ('noopendevice','noopendevice'), + ('nopaste','nopaste'), + ('nopi','nopi'), + ('nopreserveindent','nopreserveindent'), + ('nopreviewwindow','nopreviewwindow'), + ('noprompt','noprompt'), + ('nopvw','nopvw'), + ('noreadonly','noreadonly'), + ('norelativenumber','norelativenumber'), + ('noremap','noremap'), + ('norestorescreen','norestorescreen'), + ('norevins','norevins'), + ('nori','nori'), + ('norightleft','norightleft'), + ('norl','norl'), + ('nornu','nornu'), + ('noro','noro'), + ('nors','nors'), + ('noru','noru'), + ('noruler','noruler'), + ('nosb','nosb'), + ('nosc','nosc'), + ('noscb','noscb'), + ('noscrollbind','noscrollbind'), + ('noscs','noscs'), + ('nosecure','nosecure'), + ('nosft','nosft'), + ('noshellslash','noshellslash'), + ('noshelltemp','noshelltemp'), + ('noshiftround','noshiftround'), + ('noshortname','noshortname'), + ('noshowcmd','noshowcmd'), + ('noshowfulltag','noshowfulltag'), + ('noshowmatch','noshowmatch'), + ('noshowmode','noshowmode'), + ('nosi','nosi'), + ('nosm','nosm'), + ('nosmartcase','nosmartcase'), + ('nosmartindent','nosmartindent'), + ('nosmarttab','nosmarttab'), + ('nosmd','nosmd'), + ('nosn','nosn'), + ('nosol','nosol'), + ('nospell','nospell'), + ('nosplitbelow','nosplitbelow'), + ('nosplitright','nosplitright'), + ('nospr','nospr'), + ('nosr','nosr'), + ('nossl','nossl'), + ('nosta','nosta'), + ('nostartofline','nostartofline'), + ('nostmp','nostmp'), + ('noswapfile','noswapfile'), + ('noswf','noswf'), + ('nota','nota'), + ('notagbsearch','notagbsearch'), + ('notagrelative','notagrelative'), + ('notagstack','notagstack'), + ('notbi','notbi'), + ('notbidi','notbidi'), + ('notbs','notbs'), + ('notermbidi','notermbidi'), + ('noterse','noterse'), + ('notextauto','notextauto'), + ('notextmode','notextmode'), + ('notf','notf'), + ('notgst','notgst'), + ('notildeop','notildeop'), + ('notimeout','notimeout'), + ('notitle','notitle'), + ('noto','noto'), + ('notop','notop'), + ('notr','notr'), + ('nottimeout','nottimeout'), + ('nottybuiltin','nottybuiltin'), + ('nottyfast','nottyfast'), + ('notx','notx'), + ('noudf','noudf'), + ('noundofile','noundofile'), + ('novb','novb'), + ('novisualbell','novisualbell'), + ('nowa','nowa'), + ('nowarn','nowarn'), + ('nowb','nowb'), + ('noweirdinvert','noweirdinvert'), + ('nowfh','nowfh'), + ('nowfw','nowfw'), + ('nowic','nowic'), + ('nowildignorecase','nowildignorecase'), + ('nowildmenu','nowildmenu'), + ('nowinfixheight','nowinfixheight'), + ('nowinfixwidth','nowinfixwidth'), + ('nowiv','nowiv'), + ('nowmnu','nowmnu'), + ('nowrap','nowrap'), + ('nowrapscan','nowrapscan'), + ('nowrite','nowrite'), + ('nowriteany','nowriteany'), + ('nowritebackup','nowritebackup'), + ('nows','nows'), + ('nrformats','nrformats'), + ('nu','nu'), + ('number','number'), + ('numberwidth','numberwidth'), + ('nuw','nuw'), + ('odev','odev'), + ('oft','oft'), + ('ofu','ofu'), + ('omnifunc','omnifunc'), + ('opendevice','opendevice'), + ('operatorfunc','operatorfunc'), + ('opfunc','opfunc'), + ('osfiletype','osfiletype'), + ('pa','pa'), + ('para','para'), + ('paragraphs','paragraphs'), + ('paste','paste'), + ('pastetoggle','pastetoggle'), + ('patchexpr','patchexpr'), + ('patchmode','patchmode'), + ('path','path'), + ('pdev','pdev'), + ('penc','penc'), + ('pex','pex'), + ('pexpr','pexpr'), + ('pfn','pfn'), + ('ph','ph'), + ('pheader','pheader'), + ('pi','pi'), + ('pm','pm'), + ('pmbcs','pmbcs'), + ('pmbfn','pmbfn'), + ('popt','popt'), + ('preserveindent','preserveindent'), + ('previewheight','previewheight'), + ('previewwindow','previewwindow'), + ('printdevice','printdevice'), + ('printencoding','printencoding'), + ('printexpr','printexpr'), + ('printfont','printfont'), + ('printheader','printheader'), + ('printmbcharset','printmbcharset'), + ('printmbfont','printmbfont'), + ('printoptions','printoptions'), + ('prompt','prompt'), + ('pt','pt'), + ('pumheight','pumheight'), + ('pvh','pvh'), + ('pvw','pvw'), + ('qe','qe'), + ('quoteescape','quoteescape'), + ('rdt','rdt'), + ('re','re'), + ('readonly','readonly'), + ('redrawtime','redrawtime'), + ('regexpengine','regexpengine'), + ('relativenumber','relativenumber'), + ('remap','remap'), + ('report','report'), + ('restorescreen','restorescreen'), + ('revins','revins'), + ('ri','ri'), + ('rightleft','rightleft'), + ('rightleftcmd','rightleftcmd'), + ('rl','rl'), + ('rlc','rlc'), + ('rnu','rnu'), + ('ro','ro'), + ('rs','rs'), + ('rtp','rtp'), + ('ru','ru'), + ('ruf','ruf'), + ('ruler','ruler'), + ('rulerformat','rulerformat'), + ('runtimepath','runtimepath'), + ('sb','sb'), + ('sbo','sbo'), + ('sbr','sbr'), + ('sc','sc'), + ('scb','scb'), + ('scr','scr'), + ('scroll','scroll'), + ('scrollbind','scrollbind'), + ('scrolljump','scrolljump'), + ('scrolloff','scrolloff'), + ('scrollopt','scrollopt'), + ('scs','scs'), + ('sect','sect'), + ('sections','sections'), + ('secure','secure'), + ('sel','sel'), + ('selection','selection'), + ('selectmode','selectmode'), + ('sessionoptions','sessionoptions'), + ('sft','sft'), + ('sh','sh'), + ('shcf','shcf'), + ('shell','shell'), + ('shellcmdflag','shellcmdflag'), + ('shellpipe','shellpipe'), + ('shellquote','shellquote'), + ('shellredir','shellredir'), + ('shellslash','shellslash'), + ('shelltemp','shelltemp'), + ('shelltype','shelltype'), + ('shellxescape','shellxescape'), + ('shellxquote','shellxquote'), + ('shiftround','shiftround'), + ('shiftwidth','shiftwidth'), + ('shm','shm'), + ('shortmess','shortmess'), + ('shortname','shortname'), + ('showbreak','showbreak'), + ('showcmd','showcmd'), + ('showfulltag','showfulltag'), + ('showmatch','showmatch'), + ('showmode','showmode'), + ('showtabline','showtabline'), + ('shq','shq'), + ('si','si'), + ('sidescroll','sidescroll'), + ('sidescrolloff','sidescrolloff'), + ('siso','siso'), + ('sj','sj'), + ('slm','slm'), + ('sm','sm'), + ('smartcase','smartcase'), + ('smartindent','smartindent'), + ('smarttab','smarttab'), + ('smc','smc'), + ('smd','smd'), + ('sn','sn'), + ('so','so'), + ('softtabstop','softtabstop'), + ('sol','sol'), + ('sp','sp'), + ('spc','spc'), + ('spell','spell'), + ('spellcapcheck','spellcapcheck'), + ('spellfile','spellfile'), + ('spelllang','spelllang'), + ('spellsuggest','spellsuggest'), + ('spf','spf'), + ('spl','spl'), + ('splitbelow','splitbelow'), + ('splitright','splitright'), + ('spr','spr'), + ('sps','sps'), + ('sr','sr'), + ('srr','srr'), + ('ss','ss'), + ('ssl','ssl'), + ('ssop','ssop'), + ('st','st'), + ('sta','sta'), + ('stal','stal'), + ('startofline','startofline'), + ('statusline','statusline'), + ('stl','stl'), + ('stmp','stmp'), + ('sts','sts'), + ('su','su'), + ('sua','sua'), + ('suffixes','suffixes'), + ('suffixesadd','suffixesadd'), + ('sw','sw'), + ('swapfile','swapfile'), + ('swapsync','swapsync'), + ('swb','swb'), + ('swf','swf'), + ('switchbuf','switchbuf'), + ('sws','sws'), + ('sxe','sxe'), + ('sxq','sxq'), + ('syn','syn'), + ('synmaxcol','synmaxcol'), + ('syntax','syntax'), + ('t_AB','t_AB'), + ('t_AF','t_AF'), + ('t_AL','t_AL'), + ('t_CS','t_CS'), + ('t_CV','t_CV'), + ('t_Ce','t_Ce'), + ('t_Co','t_Co'), + ('t_Cs','t_Cs'), + ('t_DL','t_DL'), + ('t_EI','t_EI'), + ('t_F1','t_F1'), + ('t_F2','t_F2'), + ('t_F3','t_F3'), + ('t_F4','t_F4'), + ('t_F5','t_F5'), + ('t_F6','t_F6'), + ('t_F7','t_F7'), + ('t_F8','t_F8'), + ('t_F9','t_F9'), + ('t_IE','t_IE'), + ('t_IS','t_IS'), + ('t_K1','t_K1'), + ('t_K3','t_K3'), + ('t_K4','t_K4'), + ('t_K5','t_K5'), + ('t_K6','t_K6'), + ('t_K7','t_K7'), + ('t_K8','t_K8'), + ('t_K9','t_K9'), + ('t_KA','t_KA'), + ('t_KB','t_KB'), + ('t_KC','t_KC'), + ('t_KD','t_KD'), + ('t_KE','t_KE'), + ('t_KF','t_KF'), + ('t_KG','t_KG'), + ('t_KH','t_KH'), + ('t_KI','t_KI'), + ('t_KJ','t_KJ'), + ('t_KK','t_KK'), + ('t_KL','t_KL'), + ('t_RI','t_RI'), + ('t_RV','t_RV'), + ('t_SI','t_SI'), + ('t_Sb','t_Sb'), + ('t_Sf','t_Sf'), + ('t_WP','t_WP'), + ('t_WS','t_WS'), + ('t_ZH','t_ZH'), + ('t_ZR','t_ZR'), + ('t_al','t_al'), + ('t_bc','t_bc'), + ('t_cd','t_cd'), + ('t_ce','t_ce'), + ('t_cl','t_cl'), + ('t_cm','t_cm'), + ('t_cs','t_cs'), + ('t_da','t_da'), + ('t_db','t_db'), + ('t_dl','t_dl'), + ('t_fs','t_fs'), + ('t_k1','t_k1'), + ('t_k2','t_k2'), + ('t_k3','t_k3'), + ('t_k4','t_k4'), + ('t_k5','t_k5'), + ('t_k6','t_k6'), + ('t_k7','t_k7'), + ('t_k8','t_k8'), + ('t_k9','t_k9'), + ('t_kB','t_kB'), + ('t_kD','t_kD'), + ('t_kI','t_kI'), + ('t_kN','t_kN'), + ('t_kP','t_kP'), + ('t_kb','t_kb'), + ('t_kd','t_kd'), + ('t_ke','t_ke'), + ('t_kh','t_kh'), + ('t_kl','t_kl'), + ('t_kr','t_kr'), + ('t_ks','t_ks'), + ('t_ku','t_ku'), + ('t_le','t_le'), + ('t_mb','t_mb'), + ('t_md','t_md'), + ('t_me','t_me'), + ('t_mr','t_mr'), + ('t_ms','t_ms'), + ('t_nd','t_nd'), + ('t_op','t_op'), + ('t_se','t_se'), + ('t_so','t_so'), + ('t_sr','t_sr'), + ('t_te','t_te'), + ('t_ti','t_ti'), + ('t_ts','t_ts'), + ('t_u7','t_u7'), + ('t_ue','t_ue'), + ('t_us','t_us'), + ('t_ut','t_ut'), + ('t_vb','t_vb'), + ('t_ve','t_ve'), + ('t_vi','t_vi'), + ('t_vs','t_vs'), + ('t_xs','t_xs'), + ('ta','ta'), + ('tabline','tabline'), + ('tabpagemax','tabpagemax'), + ('tabstop','tabstop'), + ('tag','tag'), + ('tagbsearch','tagbsearch'), + ('taglength','taglength'), + ('tagrelative','tagrelative'), + ('tags','tags'), + ('tagstack','tagstack'), + ('tal','tal'), + ('tb','tb'), + ('tbi','tbi'), + ('tbidi','tbidi'), + ('tbis','tbis'), + ('tbs','tbs'), + ('tenc','tenc'), + ('term','term'), + ('termbidi','termbidi'), + ('termencoding','termencoding'), + ('terse','terse'), + ('textauto','textauto'), + ('textmode','textmode'), + ('textwidth','textwidth'), + ('tf','tf'), + ('tgst','tgst'), + ('thesaurus','thesaurus'), + ('tildeop','tildeop'), + ('timeout','timeout'), + ('timeoutlen','timeoutlen'), + ('title','title'), + ('titlelen','titlelen'), + ('titleold','titleold'), + ('titlestring','titlestring'), + ('tl','tl'), + ('tm','tm'), + ('to','to'), + ('toolbar','toolbar'), + ('toolbariconsize','toolbariconsize'), + ('top','top'), + ('tpm','tpm'), + ('tr','tr'), + ('ts','ts'), + ('tsl','tsl'), + ('tsr','tsr'), + ('ttimeout','ttimeout'), + ('ttimeoutlen','ttimeoutlen'), + ('ttm','ttm'), + ('tty','tty'), + ('ttybuiltin','ttybuiltin'), + ('ttyfast','ttyfast'), + ('ttym','ttym'), + ('ttymouse','ttymouse'), + ('ttyscroll','ttyscroll'), + ('ttytype','ttytype'), + ('tw','tw'), + ('tx','tx'), + ('uc','uc'), + ('udf','udf'), + ('udir','udir'), + ('ul','ul'), + ('undodir','undodir'), + ('undofile','undofile'), + ('undolevels','undolevels'), + ('undoreload','undoreload'), + ('updatecount','updatecount'), + ('updatetime','updatetime'), + ('ur','ur'), + ('ut','ut'), + ('vb','vb'), + ('vbs','vbs'), + ('vdir','vdir'), + ('ve','ve'), + ('verbose','verbose'), + ('verbosefile','verbosefile'), + ('vfile','vfile'), + ('vi','vi'), + ('viewdir','viewdir'), + ('viewoptions','viewoptions'), + ('viminfo','viminfo'), + ('virtualedit','virtualedit'), + ('visualbell','visualbell'), + ('vnoremap','vnoremap'), + ('vop','vop'), + ('wa','wa'), + ('wak','wak'), + ('warn','warn'), + ('wb','wb'), + ('wc','wc'), + ('wcm','wcm'), + ('wd','wd'), + ('weirdinvert','weirdinvert'), + ('wfh','wfh'), + ('wfw','wfw'), + ('wh','wh'), + ('whichwrap','whichwrap'), + ('wi','wi'), + ('wic','wic'), + ('wig','wig'), + ('wildchar','wildchar'), + ('wildcharm','wildcharm'), + ('wildignore','wildignore'), + ('wildignorecase','wildignorecase'), + ('wildmenu','wildmenu'), + ('wildmode','wildmode'), + ('wildoptions','wildoptions'), + ('wim','wim'), + ('winaltkeys','winaltkeys'), + ('window','window'), + ('winfixheight','winfixheight'), + ('winfixwidth','winfixwidth'), + ('winheight','winheight'), + ('winminheight','winminheight'), + ('winminwidth','winminwidth'), + ('winwidth','winwidth'), + ('wiv','wiv'), + ('wiw','wiw'), + ('wm','wm'), + ('wmh','wmh'), + ('wmnu','wmnu'), + ('wmw','wmw'), + ('wop','wop'), + ('wrap','wrap'), + ('wrapmargin','wrapmargin'), + ('wrapscan','wrapscan'), + ('write','write'), + ('writeany','writeany'), + ('writebackup','writebackup'), + ('writedelay','writedelay'), + ('ws','ws'), + ('ww','ww'), + ) + return var +option = _getoption() + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/actionscript.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/actionscript.py new file mode 100644 index 0000000000000000000000000000000000000000..84607e684bd0d0cef2cbabd9f7296470adc603bc --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/actionscript.py @@ -0,0 +1,240 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.actionscript + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for ActionScript and MXML. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, bygroups, using, this, words, default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation + +__all__ = ['ActionScriptLexer', 'ActionScript3Lexer', 'MxmlLexer'] + + +class ActionScriptLexer(RegexLexer): + """ + For ActionScript source code. + + .. versionadded:: 0.9 + """ + + name = 'ActionScript' + aliases = ['as', 'actionscript'] + filenames = ['*.as'] + mimetypes = ['application/x-actionscript', 'text/x-actionscript', + 'text/actionscript'] + + flags = re.DOTALL + tokens = { + 'root': [ + (r'\s+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + (r'/(\\\\|\\/|[^/\n])*/[gim]*', String.Regex), + (r'[~^*!%&<>|+=:;,/?\\-]+', Operator), + (r'[{}\[\]();.]+', Punctuation), + (words(( + 'case', 'default', 'for', 'each', 'in', 'while', 'do', 'break', + 'return', 'continue', 'if', 'else', 'throw', 'try', 'catch', + 'var', 'with', 'new', 'typeof', 'arguments', 'instanceof', 'this', + 'switch'), suffix=r'\b'), + Keyword), + (words(( + 'class', 'public', 'final', 'internal', 'native', 'override', 'private', + 'protected', 'static', 'import', 'extends', 'implements', 'interface', + 'intrinsic', 'return', 'super', 'dynamic', 'function', 'const', 'get', + 'namespace', 'package', 'set'), suffix=r'\b'), + Keyword.Declaration), + (r'(true|false|null|NaN|Infinity|-Infinity|undefined|Void)\b', + Keyword.Constant), + (words(( + 'Accessibility', 'AccessibilityProperties', 'ActionScriptVersion', + 'ActivityEvent', 'AntiAliasType', 'ApplicationDomain', 'AsBroadcaster', 'Array', + 'AsyncErrorEvent', 'AVM1Movie', 'BevelFilter', 'Bitmap', 'BitmapData', + 'BitmapDataChannel', 'BitmapFilter', 'BitmapFilterQuality', 'BitmapFilterType', + 'BlendMode', 'BlurFilter', 'Boolean', 'ByteArray', 'Camera', 'Capabilities', 'CapsStyle', + 'Class', 'Color', 'ColorMatrixFilter', 'ColorTransform', 'ContextMenu', + 'ContextMenuBuiltInItems', 'ContextMenuEvent', 'ContextMenuItem', + 'ConvultionFilter', 'CSMSettings', 'DataEvent', 'Date', 'DefinitionError', + 'DeleteObjectSample', 'Dictionary', 'DisplacmentMapFilter', 'DisplayObject', + 'DisplacmentMapFilterMode', 'DisplayObjectContainer', 'DropShadowFilter', + 'Endian', 'EOFError', 'Error', 'ErrorEvent', 'EvalError', 'Event', 'EventDispatcher', + 'EventPhase', 'ExternalInterface', 'FileFilter', 'FileReference', + 'FileReferenceList', 'FocusDirection', 'FocusEvent', 'Font', 'FontStyle', 'FontType', + 'FrameLabel', 'FullScreenEvent', 'Function', 'GlowFilter', 'GradientBevelFilter', + 'GradientGlowFilter', 'GradientType', 'Graphics', 'GridFitType', 'HTTPStatusEvent', + 'IBitmapDrawable', 'ID3Info', 'IDataInput', 'IDataOutput', 'IDynamicPropertyOutput' + 'IDynamicPropertyWriter', 'IEventDispatcher', 'IExternalizable', + 'IllegalOperationError', 'IME', 'IMEConversionMode', 'IMEEvent', 'int', + 'InteractiveObject', 'InterpolationMethod', 'InvalidSWFError', 'InvokeEvent', + 'IOError', 'IOErrorEvent', 'JointStyle', 'Key', 'Keyboard', 'KeyboardEvent', 'KeyLocation', + 'LineScaleMode', 'Loader', 'LoaderContext', 'LoaderInfo', 'LoadVars', 'LocalConnection', + 'Locale', 'Math', 'Matrix', 'MemoryError', 'Microphone', 'MorphShape', 'Mouse', 'MouseEvent', + 'MovieClip', 'MovieClipLoader', 'Namespace', 'NetConnection', 'NetStatusEvent', + 'NetStream', 'NewObjectSample', 'Number', 'Object', 'ObjectEncoding', 'PixelSnapping', + 'Point', 'PrintJob', 'PrintJobOptions', 'PrintJobOrientation', 'ProgressEvent', 'Proxy', + 'QName', 'RangeError', 'Rectangle', 'ReferenceError', 'RegExp', 'Responder', 'Sample', + 'Scene', 'ScriptTimeoutError', 'Security', 'SecurityDomain', 'SecurityError', + 'SecurityErrorEvent', 'SecurityPanel', 'Selection', 'Shape', 'SharedObject', + 'SharedObjectFlushStatus', 'SimpleButton', 'Socket', 'Sound', 'SoundChannel', + 'SoundLoaderContext', 'SoundMixer', 'SoundTransform', 'SpreadMethod', 'Sprite', + 'StackFrame', 'StackOverflowError', 'Stage', 'StageAlign', 'StageDisplayState', + 'StageQuality', 'StageScaleMode', 'StaticText', 'StatusEvent', 'String', 'StyleSheet', + 'SWFVersion', 'SyncEvent', 'SyntaxError', 'System', 'TextColorType', 'TextField', + 'TextFieldAutoSize', 'TextFieldType', 'TextFormat', 'TextFormatAlign', + 'TextLineMetrics', 'TextRenderer', 'TextSnapshot', 'Timer', 'TimerEvent', 'Transform', + 'TypeError', 'uint', 'URIError', 'URLLoader', 'URLLoaderDataFormat', 'URLRequest', + 'URLRequestHeader', 'URLRequestMethod', 'URLStream', 'URLVariabeles', 'VerifyError', + 'Video', 'XML', 'XMLDocument', 'XMLList', 'XMLNode', 'XMLNodeType', 'XMLSocket', + 'XMLUI'), suffix=r'\b'), + Name.Builtin), + (words(( + 'decodeURI', 'decodeURIComponent', 'encodeURI', 'escape', 'eval', 'isFinite', 'isNaN', + 'isXMLName', 'clearInterval', 'fscommand', 'getTimer', 'getURL', 'getVersion', + 'parseFloat', 'parseInt', 'setInterval', 'trace', 'updateAfterEvent', + 'unescape'), suffix=r'\b'), + Name.Function), + (r'[$a-zA-Z_]\w*', Name.Other), + (r'[0-9][0-9]*\.[0-9]+([eE][0-9]+)?[fd]?', Number.Float), + (r'0x[0-9a-f]+', Number.Hex), + (r'[0-9]+', Number.Integer), + (r'"(\\\\|\\"|[^"])*"', String.Double), + (r"'(\\\\|\\'|[^'])*'", String.Single), + ] + } + + +class ActionScript3Lexer(RegexLexer): + """ + For ActionScript 3 source code. + + .. versionadded:: 0.11 + """ + + name = 'ActionScript 3' + aliases = ['as3', 'actionscript3'] + filenames = ['*.as'] + mimetypes = ['application/x-actionscript3', 'text/x-actionscript3', + 'text/actionscript3'] + + identifier = r'[$a-zA-Z_]\w*' + typeidentifier = identifier + '(?:\.<\w+>)?' + + flags = re.DOTALL | re.MULTILINE + tokens = { + 'root': [ + (r'\s+', Text), + (r'(function\s+)(' + identifier + r')(\s*)(\()', + bygroups(Keyword.Declaration, Name.Function, Text, Operator), + 'funcparams'), + (r'(var|const)(\s+)(' + identifier + r')(\s*)(:)(\s*)(' + + typeidentifier + r')', + bygroups(Keyword.Declaration, Text, Name, Text, Punctuation, Text, + Keyword.Type)), + (r'(import|package)(\s+)((?:' + identifier + r'|\.)+)(\s*)', + bygroups(Keyword, Text, Name.Namespace, Text)), + (r'(new)(\s+)(' + typeidentifier + r')(\s*)(\()', + bygroups(Keyword, Text, Keyword.Type, Text, Operator)), + (r'//.*?\n', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + (r'/(\\\\|\\/|[^\n])*/[gisx]*', String.Regex), + (r'(\.)(' + identifier + r')', bygroups(Operator, Name.Attribute)), + (r'(case|default|for|each|in|while|do|break|return|continue|if|else|' + r'throw|try|catch|with|new|typeof|arguments|instanceof|this|' + r'switch|import|include|as|is)\b', + Keyword), + (r'(class|public|final|internal|native|override|private|protected|' + r'static|import|extends|implements|interface|intrinsic|return|super|' + r'dynamic|function|const|get|namespace|package|set)\b', + Keyword.Declaration), + (r'(true|false|null|NaN|Infinity|-Infinity|undefined|void)\b', + Keyword.Constant), + (r'(decodeURI|decodeURIComponent|encodeURI|escape|eval|isFinite|isNaN|' + r'isXMLName|clearInterval|fscommand|getTimer|getURL|getVersion|' + r'isFinite|parseFloat|parseInt|setInterval|trace|updateAfterEvent|' + r'unescape)\b', Name.Function), + (identifier, Name), + (r'[0-9][0-9]*\.[0-9]+([eE][0-9]+)?[fd]?', Number.Float), + (r'0x[0-9a-f]+', Number.Hex), + (r'[0-9]+', Number.Integer), + (r'"(\\\\|\\"|[^"])*"', String.Double), + (r"'(\\\\|\\'|[^'])*'", String.Single), + (r'[~^*!%&<>|+=:;,/?\\{}\[\]().-]+', Operator), + ], + 'funcparams': [ + (r'\s+', Text), + (r'(\s*)(\.\.\.)?(' + identifier + r')(\s*)(:)(\s*)(' + + typeidentifier + r'|\*)(\s*)', + bygroups(Text, Punctuation, Name, Text, Operator, Text, + Keyword.Type, Text), 'defval'), + (r'\)', Operator, 'type') + ], + 'type': [ + (r'(\s*)(:)(\s*)(' + typeidentifier + r'|\*)', + bygroups(Text, Operator, Text, Keyword.Type), '#pop:2'), + (r'\s+', Text, '#pop:2'), + default('#pop:2') + ], + 'defval': [ + (r'(=)(\s*)([^(),]+)(\s*)(,?)', + bygroups(Operator, Text, using(this), Text, Operator), '#pop'), + (r',', Operator, '#pop'), + default('#pop') + ] + } + + def analyse_text(text): + if re.match(r'\w+\s*:\s*\w', text): + return 0.3 + return 0 + + +class MxmlLexer(RegexLexer): + """ + For MXML markup. + Nested AS3 in )', bygroups(using(XmlLexer), + Other, + using(XmlLexer))), + (r'(.+?)(?=<)', using(XmlLexer)), + (r'.+', using(XmlLexer)), + ], + } + + +# TODO support multiple languages within the same source file +class CSharpAspxLexer(DelegatingLexer): + """ + Lexer for highlighting C# within ASP.NET pages. + """ + + name = 'aspx-cs' + aliases = ['aspx-cs'] + filenames = ['*.aspx', '*.asax', '*.ascx', '*.ashx', '*.asmx', '*.axd'] + mimetypes = [] + + def __init__(self, **options): + super(CSharpAspxLexer, self).__init__(CSharpLexer, GenericAspxLexer, + **options) + + def analyse_text(text): + if re.search(r'Page\s*Language="C#"', text, re.I) is not None: + return 0.2 + elif re.search(r'script[^>]+language=["\']C#', text, re.I) is not None: + return 0.15 + + +class VbNetAspxLexer(DelegatingLexer): + """ + Lexer for highlighting Visual Basic.net within ASP.NET pages. + """ + + name = 'aspx-vb' + aliases = ['aspx-vb'] + filenames = ['*.aspx', '*.asax', '*.ascx', '*.ashx', '*.asmx', '*.axd'] + mimetypes = [] + + def __init__(self, **options): + super(VbNetAspxLexer, self).__init__(VbNetLexer, GenericAspxLexer, + **options) + + def analyse_text(text): + if re.search(r'Page\s*Language="Vb"', text, re.I) is not None: + return 0.2 + elif re.search(r'script[^>]+language=["\']vb', text, re.I) is not None: + return 0.15 + + +# Very close to functional.OcamlLexer +class FSharpLexer(RegexLexer): + """ + For the F# language (version 3.0). + + AAAAACK Strings + http://research.microsoft.com/en-us/um/cambridge/projects/fsharp/manual/spec.html#_Toc335818775 + + .. versionadded:: 1.5 + """ + + name = 'FSharp' + aliases = ['fsharp'] + filenames = ['*.fs', '*.fsi'] + mimetypes = ['text/x-fsharp'] + + keywords = [ + 'abstract', 'as', 'assert', 'base', 'begin', 'class', 'default', + 'delegate', 'do!', 'do', 'done', 'downcast', 'downto', 'elif', 'else', + 'end', 'exception', 'extern', 'false', 'finally', 'for', 'function', + 'fun', 'global', 'if', 'inherit', 'inline', 'interface', 'internal', + 'in', 'lazy', 'let!', 'let', 'match', 'member', 'module', 'mutable', + 'namespace', 'new', 'null', 'of', 'open', 'override', 'private', 'public', + 'rec', 'return!', 'return', 'select', 'static', 'struct', 'then', 'to', + 'true', 'try', 'type', 'upcast', 'use!', 'use', 'val', 'void', 'when', + 'while', 'with', 'yield!', 'yield', + ] + # Reserved words; cannot hurt to color them as keywords too. + keywords += [ + 'atomic', 'break', 'checked', 'component', 'const', 'constraint', + 'constructor', 'continue', 'eager', 'event', 'external', 'fixed', + 'functor', 'include', 'method', 'mixin', 'object', 'parallel', + 'process', 'protected', 'pure', 'sealed', 'tailcall', 'trait', + 'virtual', 'volatile', + ] + keyopts = [ + '!=', '#', '&&', '&', '\(', '\)', '\*', '\+', ',', '-\.', + '->', '-', '\.\.', '\.', '::', ':=', ':>', ':', ';;', ';', '<-', + '<\]', '<', '>\]', '>', '\?\?', '\?', '\[<', '\[\|', '\[', '\]', + '_', '`', '\{', '\|\]', '\|', '\}', '~', '<@@', '<@', '=', '@>', '@@>', + ] + + operators = r'[!$%&*+\./:<=>?@^|~-]' + word_operators = ['and', 'or', 'not'] + prefix_syms = r'[!?~]' + infix_syms = r'[=<>@^|&+\*/$%-]' + primitives = [ + 'sbyte', 'byte', 'char', 'nativeint', 'unativeint', 'float32', 'single', + 'float', 'double', 'int8', 'uint8', 'int16', 'uint16', 'int32', + 'uint32', 'int64', 'uint64', 'decimal', 'unit', 'bool', 'string', + 'list', 'exn', 'obj', 'enum', + ] + + # See http://msdn.microsoft.com/en-us/library/dd233181.aspx and/or + # http://fsharp.org/about/files/spec.pdf for reference. Good luck. + + tokens = { + 'escape-sequence': [ + (r'\\[\\"\'ntbrafv]', String.Escape), + (r'\\[0-9]{3}', String.Escape), + (r'\\u[0-9a-fA-F]{4}', String.Escape), + (r'\\U[0-9a-fA-F]{8}', String.Escape), + ], + 'root': [ + (r'\s+', Text), + (r'\(\)|\[\]', Name.Builtin.Pseudo), + (r'\b(?`_ + definition files. + + .. versionadded:: 1.4 + """ + + name = 'Protocol Buffer' + aliases = ['protobuf', 'proto'] + filenames = ['*.proto'] + + tokens = { + 'root': [ + (r'[ \t]+', Text), + (r'[,;{}\[\]()<>]', Punctuation), + (r'/(\\\n)?/(\n|(.|\n)*?[^\\]\n)', Comment.Single), + (r'/(\\\n)?\*(.|\n)*?\*(\\\n)?/', Comment.Multiline), + (words(( + 'import', 'option', 'optional', 'required', 'repeated', 'default', + 'packed', 'ctype', 'extensions', 'to', 'max', 'rpc', 'returns', + 'oneof'), prefix=r'\b', suffix=r'\b'), + Keyword), + (words(( + 'int32', 'int64', 'uint32', 'uint64', 'sint32', 'sint64', + 'fixed32', 'fixed64', 'sfixed32', 'sfixed64', + 'float', 'double', 'bool', 'string', 'bytes'), suffix=r'\b'), + Keyword.Type), + (r'(true|false)\b', Keyword.Constant), + (r'(package)(\s+)', bygroups(Keyword.Namespace, Text), 'package'), + (r'(message|extend)(\s+)', + bygroups(Keyword.Declaration, Text), 'message'), + (r'(enum|group|service)(\s+)', + bygroups(Keyword.Declaration, Text), 'type'), + (r'\".*?\"', String), + (r'\'.*?\'', String), + (r'(\d+\.\d*|\.\d+|\d+)[eE][+-]?\d+[LlUu]*', Number.Float), + (r'(\d+\.\d*|\.\d+|\d+[fF])[fF]?', Number.Float), + (r'(\-?(inf|nan))\b', Number.Float), + (r'0x[0-9a-fA-F]+[LlUu]*', Number.Hex), + (r'0[0-7]+[LlUu]*', Number.Oct), + (r'\d+[LlUu]*', Number.Integer), + (r'[+-=]', Operator), + (r'([a-zA-Z_][\w.]*)([ \t]*)(=)', + bygroups(Name.Attribute, Text, Operator)), + ('[a-zA-Z_][\w.]*', Name), + ], + 'package': [ + (r'[a-zA-Z_]\w*', Name.Namespace, '#pop'), + default('#pop'), + ], + 'message': [ + (r'[a-zA-Z_]\w*', Name.Class, '#pop'), + default('#pop'), + ], + 'type': [ + (r'[a-zA-Z_]\w*', Name, '#pop'), + default('#pop'), + ], + } + + +class ThriftLexer(RegexLexer): + """ + For `Thrift `__ interface definitions. + + .. versionadded:: 2.1 + """ + name = 'Thrift' + aliases = ['thrift'] + filenames = ['*.thrift'] + mimetypes = ['application/x-thrift'] + + tokens = { + 'root': [ + include('whitespace'), + include('comments'), + (r'"', String.Double, combined('stringescape', 'dqs')), + (r'\'', String.Single, combined('stringescape', 'sqs')), + (r'(namespace)(\s+)', + bygroups(Keyword.Namespace, Text.Whitespace), 'namespace'), + (r'(enum|union|struct|service|exception)(\s+)', + bygroups(Keyword.Declaration, Text.Whitespace), 'class'), + (r'((?:(?:[^\W\d]|\$)[\w.\[\]$<>]*\s+)+?)' # return arguments + r'((?:[^\W\d]|\$)[\w$]*)' # method name + r'(\s*)(\()', # signature start + bygroups(using(this), Name.Function, Text, Operator)), + include('keywords'), + include('numbers'), + (r'[&=]', Operator), + (r'[:;,{}()<>\[\]]', Punctuation), + (r'[a-zA-Z_](\.\w|\w)*', Name), + ], + 'whitespace': [ + (r'\n', Text.Whitespace), + (r'\s+', Text.Whitespace), + ], + 'comments': [ + (r'#.*$', Comment), + (r'//.*?\n', Comment), + (r'/\*[\w\W]*?\*/', Comment.Multiline), + ], + 'stringescape': [ + (r'\\([\\nrt"\'])', String.Escape), + ], + 'dqs': [ + (r'"', String.Double, '#pop'), + (r'[^\\"\n]+', String.Double), + ], + 'sqs': [ + (r"'", String.Single, '#pop'), + (r'[^\\\'\n]+', String.Single), + ], + 'namespace': [ + (r'[a-z*](\.\w|\w)*', Name.Namespace, '#pop'), + default('#pop'), + ], + 'class': [ + (r'[a-zA-Z_]\w*', Name.Class, '#pop'), + default('#pop'), + ], + 'keywords': [ + (r'(async|oneway|extends|throws|required|optional)\b', Keyword), + (r'(true|false)\b', Keyword.Constant), + (r'(const|typedef)\b', Keyword.Declaration), + (words(( + 'cpp_namespace', 'cpp_include', 'cpp_type', 'java_package', + 'cocoa_prefix', 'csharp_namespace', 'delphi_namespace', + 'php_namespace', 'py_module', 'perl_package', + 'ruby_namespace', 'smalltalk_category', 'smalltalk_prefix', + 'xsd_all', 'xsd_optional', 'xsd_nillable', 'xsd_namespace', + 'xsd_attrs', 'include'), suffix=r'\b'), + Keyword.Namespace), + (words(( + 'void', 'bool', 'byte', 'i16', 'i32', 'i64', 'double', + 'string', 'binary', 'map', 'list', 'set', 'slist', + 'senum'), suffix=r'\b'), + Keyword.Type), + (words(( + 'BEGIN', 'END', '__CLASS__', '__DIR__', '__FILE__', + '__FUNCTION__', '__LINE__', '__METHOD__', '__NAMESPACE__', + 'abstract', 'alias', 'and', 'args', 'as', 'assert', 'begin', + 'break', 'case', 'catch', 'class', 'clone', 'continue', + 'declare', 'def', 'default', 'del', 'delete', 'do', 'dynamic', + 'elif', 'else', 'elseif', 'elsif', 'end', 'enddeclare', + 'endfor', 'endforeach', 'endif', 'endswitch', 'endwhile', + 'ensure', 'except', 'exec', 'finally', 'float', 'for', + 'foreach', 'function', 'global', 'goto', 'if', 'implements', + 'import', 'in', 'inline', 'instanceof', 'interface', 'is', + 'lambda', 'module', 'native', 'new', 'next', 'nil', 'not', + 'or', 'pass', 'public', 'print', 'private', 'protected', + 'raise', 'redo', 'rescue', 'retry', 'register', 'return', + 'self', 'sizeof', 'static', 'super', 'switch', 'synchronized', + 'then', 'this', 'throw', 'transient', 'try', 'undef', + 'unless', 'unsigned', 'until', 'use', 'var', 'virtual', + 'volatile', 'when', 'while', 'with', 'xor', 'yield'), + prefix=r'\b', suffix=r'\b'), + Keyword.Reserved), + ], + 'numbers': [ + (r'[+-]?(\d+\.\d+([eE][+-]?\d+)?|\.?\d+[eE][+-]?\d+)', Number.Float), + (r'[+-]?0x[0-9A-Fa-f]+', Number.Hex), + (r'[+-]?[0-9]+', Number.Integer), + ], + } + + +class BroLexer(RegexLexer): + """ + For `Bro `_ scripts. + + .. versionadded:: 1.5 + """ + name = 'Bro' + aliases = ['bro'] + filenames = ['*.bro'] + + _hex = r'[0-9a-fA-F_]' + _float = r'((\d*\.?\d+)|(\d+\.?\d*))([eE][-+]?\d+)?' + _h = r'[A-Za-z0-9][-A-Za-z0-9]*' + + tokens = { + 'root': [ + # Whitespace + (r'^@.*?\n', Comment.Preproc), + (r'#.*?\n', Comment.Single), + (r'\n', Text), + (r'\s+', Text), + (r'\\\n', Text), + # Keywords + (r'(add|alarm|break|case|const|continue|delete|do|else|enum|event' + r'|export|for|function|if|global|hook|local|module|next' + r'|of|print|redef|return|schedule|switch|type|when|while)\b', Keyword), + (r'(addr|any|bool|count|counter|double|file|int|interval|net' + r'|pattern|port|record|set|string|subnet|table|time|timer' + r'|vector)\b', Keyword.Type), + (r'(T|F)\b', Keyword.Constant), + (r'(&)((?:add|delete|expire)_func|attr|(?:create|read|write)_expire' + r'|default|disable_print_hook|raw_output|encrypt|group|log' + r'|mergeable|optional|persistent|priority|redef' + r'|rotate_(?:interval|size)|synchronized)\b', + bygroups(Punctuation, Keyword)), + (r'\s+module\b', Keyword.Namespace), + # Addresses, ports and networks + (r'\d+/(tcp|udp|icmp|unknown)\b', Number), + (r'(\d+\.){3}\d+', Number), + (r'(' + _hex + r'){7}' + _hex, Number), + (r'0x' + _hex + r'(' + _hex + r'|:)*::(' + _hex + r'|:)*', Number), + (r'((\d+|:)(' + _hex + r'|:)*)?::(' + _hex + r'|:)*', Number), + (r'(\d+\.\d+\.|(\d+\.){2}\d+)', Number), + # Hostnames + (_h + r'(\.' + _h + r')+', String), + # Numeric + (_float + r'\s+(day|hr|min|sec|msec|usec)s?\b', Literal.Date), + (r'0[xX]' + _hex, Number.Hex), + (_float, Number.Float), + (r'\d+', Number.Integer), + (r'/', String.Regex, 'regex'), + (r'"', String, 'string'), + # Operators + (r'[!%*/+:<=>?~|-]', Operator), + (r'([-+=&|]{2}|[+=!><-]=)', Operator), + (r'(in|match)\b', Operator.Word), + (r'[{}()\[\]$.,;]', Punctuation), + # Identfier + (r'([_a-zA-Z]\w*)(::)', bygroups(Name, Name.Namespace)), + (r'[a-zA-Z_]\w*', Name) + ], + 'string': [ + (r'"', String, '#pop'), + (r'\\([\\abfnrtv"\']|x[a-fA-F0-9]{2,4}|[0-7]{1,3})', String.Escape), + (r'[^\\"\n]+', String), + (r'\\\n', String), + (r'\\', String) + ], + 'regex': [ + (r'/', String.Regex, '#pop'), + (r'\\[\\nt/]', String.Regex), # String.Escape is too intense here. + (r'[^\\/\n]+', String.Regex), + (r'\\\n', String.Regex), + (r'\\', String.Regex) + ] + } + + +class PuppetLexer(RegexLexer): + """ + For `Puppet `__ configuration DSL. + + .. versionadded:: 1.6 + """ + name = 'Puppet' + aliases = ['puppet'] + filenames = ['*.pp'] + + tokens = { + 'root': [ + include('comments'), + include('keywords'), + include('names'), + include('numbers'), + include('operators'), + include('strings'), + + (r'[]{}:(),;[]', Punctuation), + (r'[^\S\n]+', Text), + ], + + 'comments': [ + (r'\s*#.*$', Comment), + (r'/(\\\n)?[*](.|\n)*?[*](\\\n)?/', Comment.Multiline), + ], + + 'operators': [ + (r'(=>|\?|<|>|=|\+|-|/|\*|~|!|\|)', Operator), + (r'(in|and|or|not)\b', Operator.Word), + ], + + 'names': [ + ('[a-zA-Z_]\w*', Name.Attribute), + (r'(\$\S+)(\[)(\S+)(\])', bygroups(Name.Variable, Punctuation, + String, Punctuation)), + (r'\$\S+', Name.Variable), + ], + + 'numbers': [ + # Copypasta from the Python lexer + (r'(\d+\.\d*|\d*\.\d+)([eE][+-]?[0-9]+)?j?', Number.Float), + (r'\d+[eE][+-]?[0-9]+j?', Number.Float), + (r'0[0-7]+j?', Number.Oct), + (r'0[xX][a-fA-F0-9]+', Number.Hex), + (r'\d+L', Number.Integer.Long), + (r'\d+j?', Number.Integer) + ], + + 'keywords': [ + # Left out 'group' and 'require' + # Since they're often used as attributes + (words(( + 'absent', 'alert', 'alias', 'audit', 'augeas', 'before', 'case', + 'check', 'class', 'computer', 'configured', 'contained', + 'create_resources', 'crit', 'cron', 'debug', 'default', + 'define', 'defined', 'directory', 'else', 'elsif', 'emerg', + 'err', 'exec', 'extlookup', 'fail', 'false', 'file', + 'filebucket', 'fqdn_rand', 'generate', 'host', 'if', 'import', + 'include', 'info', 'inherits', 'inline_template', 'installed', + 'interface', 'k5login', 'latest', 'link', 'loglevel', + 'macauthorization', 'mailalias', 'maillist', 'mcx', 'md5', + 'mount', 'mounted', 'nagios_command', 'nagios_contact', + 'nagios_contactgroup', 'nagios_host', 'nagios_hostdependency', + 'nagios_hostescalation', 'nagios_hostextinfo', 'nagios_hostgroup', + 'nagios_service', 'nagios_servicedependency', 'nagios_serviceescalation', + 'nagios_serviceextinfo', 'nagios_servicegroup', 'nagios_timeperiod', + 'node', 'noop', 'notice', 'notify', 'package', 'present', 'purged', + 'realize', 'regsubst', 'resources', 'role', 'router', 'running', + 'schedule', 'scheduled_task', 'search', 'selboolean', 'selmodule', + 'service', 'sha1', 'shellquote', 'split', 'sprintf', + 'ssh_authorized_key', 'sshkey', 'stage', 'stopped', 'subscribe', + 'tag', 'tagged', 'template', 'tidy', 'true', 'undef', 'unmounted', + 'user', 'versioncmp', 'vlan', 'warning', 'yumrepo', 'zfs', 'zone', + 'zpool'), prefix='(?i)', suffix=r'\b'), + Keyword), + ], + + 'strings': [ + (r'"([^"])*"', String), + (r"'(\\'|[^'])*'", String), + ], + + } + + +class RslLexer(RegexLexer): + """ + `RSL `_ is the formal specification + language used in RAISE (Rigorous Approach to Industrial Software Engineering) + method. + + .. versionadded:: 2.0 + """ + name = 'RSL' + aliases = ['rsl'] + filenames = ['*.rsl'] + mimetypes = ['text/rsl'] + + flags = re.MULTILINE | re.DOTALL + + tokens = { + 'root': [ + (words(( + 'Bool', 'Char', 'Int', 'Nat', 'Real', 'Text', 'Unit', 'abs', + 'all', 'always', 'any', 'as', 'axiom', 'card', 'case', 'channel', + 'chaos', 'class', 'devt_relation', 'dom', 'elems', 'else', 'elif', + 'end', 'exists', 'extend', 'false', 'for', 'hd', 'hide', 'if', + 'in', 'is', 'inds', 'initialise', 'int', 'inter', 'isin', 'len', + 'let', 'local', 'ltl_assertion', 'object', 'of', 'out', 'post', + 'pre', 'read', 'real', 'rng', 'scheme', 'skip', 'stop', 'swap', + 'then', 'theory', 'test_case', 'tl', 'transition_system', 'true', + 'type', 'union', 'until', 'use', 'value', 'variable', 'while', + 'with', 'write', '~isin', '-inflist', '-infset', '-list', + '-set'), prefix=r'\b', suffix=r'\b'), + Keyword), + (r'(variable|value)\b', Keyword.Declaration), + (r'--.*?\n', Comment), + (r'<:.*?:>', Comment), + (r'\{!.*?!\}', Comment), + (r'/\*.*?\*/', Comment), + (r'^[ \t]*([\w]+)[ \t]*:[^:]', Name.Function), + (r'(^[ \t]*)([\w]+)([ \t]*\([\w\s,]*\)[ \t]*)(is|as)', + bygroups(Text, Name.Function, Text, Keyword)), + (r'\b[A-Z]\w*\b', Keyword.Type), + (r'(true|false)\b', Keyword.Constant), + (r'".*"', String), + (r'\'.\'', String.Char), + (r'(><|->|-m->|/\\|<=|<<=|<\.|\|\||\|\^\||-~->|-~m->|\\/|>=|>>|' + r'\.>|\+\+|-\\|<->|=>|:-|~=|\*\*|<<|>>=|\+>|!!|\|=\||#)', + Operator), + (r'[0-9]+\.[0-9]+([eE][0-9]+)?[fd]?', Number.Float), + (r'0x[0-9a-f]+', Number.Hex), + (r'[0-9]+', Number.Integer), + (r'.', Text), + ], + } + + def analyse_text(text): + """ + Check for the most common text in the beginning of a RSL file. + """ + if re.search(r'scheme\s*.*?=\s*class\s*type', text, re.I) is not None: + return 1.0 + + +class MscgenLexer(RegexLexer): + """ + For `Mscgen `_ files. + + .. versionadded:: 1.6 + """ + name = 'Mscgen' + aliases = ['mscgen', 'msc'] + filenames = ['*.msc'] + + _var = r'(\w+|"(?:\\"|[^"])*")' + + tokens = { + 'root': [ + (r'msc\b', Keyword.Type), + # Options + (r'(hscale|HSCALE|width|WIDTH|wordwraparcs|WORDWRAPARCS' + r'|arcgradient|ARCGRADIENT)\b', Name.Property), + # Operators + (r'(abox|ABOX|rbox|RBOX|box|BOX|note|NOTE)\b', Operator.Word), + (r'(\.|-|\|){3}', Keyword), + (r'(?:-|=|\.|:){2}' + r'|<<=>>|<->|<=>|<<>>|<:>' + r'|->|=>>|>>|=>|:>|-x|-X' + r'|<-|<<=|<<|<=|<:|x-|X-|=', Operator), + # Names + (r'\*', Name.Builtin), + (_var, Name.Variable), + # Other + (r'\[', Punctuation, 'attrs'), + (r'\{|\}|,|;', Punctuation), + include('comments') + ], + 'attrs': [ + (r'\]', Punctuation, '#pop'), + (_var + r'(\s*)(=)(\s*)' + _var, + bygroups(Name.Attribute, Text.Whitespace, Operator, Text.Whitespace, + String)), + (r',', Punctuation), + include('comments') + ], + 'comments': [ + (r'(?://|#).*?\n', Comment.Single), + (r'/\*(?:.|\n)*?\*/', Comment.Multiline), + (r'[ \t\r\n]+', Text.Whitespace) + ] + } + + +class VGLLexer(RegexLexer): + """ + For `SampleManager VGL `_ + source code. + + .. versionadded:: 1.6 + """ + name = 'VGL' + aliases = ['vgl'] + filenames = ['*.rpf'] + + flags = re.MULTILINE | re.DOTALL | re.IGNORECASE + + tokens = { + 'root': [ + (r'\{[^}]*\}', Comment.Multiline), + (r'declare', Keyword.Constant), + (r'(if|then|else|endif|while|do|endwhile|and|or|prompt|object' + r'|create|on|line|with|global|routine|value|endroutine|constant' + r'|global|set|join|library|compile_option|file|exists|create|copy' + r'|delete|enable|windows|name|notprotected)(?! *[=<>.,()])', + Keyword), + (r'(true|false|null|empty|error|locked)', Keyword.Constant), + (r'[~^*#!%&\[\]()<>|+=:;,./?-]', Operator), + (r'"[^"]*"', String), + (r'(\.)([a-z_$][\w$]*)', bygroups(Operator, Name.Attribute)), + (r'[0-9][0-9]*(\.[0-9]+(e[+\-]?[0-9]+)?)?', Number), + (r'[a-z_$][\w$]*', Name), + (r'[\r\n]+', Text), + (r'\s+', Text) + ] + } + + +class AlloyLexer(RegexLexer): + """ + For `Alloy `_ source code. + + .. versionadded:: 2.0 + """ + + name = 'Alloy' + aliases = ['alloy'] + filenames = ['*.als'] + mimetypes = ['text/x-alloy'] + + flags = re.MULTILINE | re.DOTALL + + iden_rex = r'[a-zA-Z_][\w\']*' + text_tuple = (r'[^\S\n]+', Text) + + tokens = { + 'sig': [ + (r'(extends)\b', Keyword, '#pop'), + (iden_rex, Name), + text_tuple, + (r',', Punctuation), + (r'\{', Operator, '#pop'), + ], + 'module': [ + text_tuple, + (iden_rex, Name, '#pop'), + ], + 'fun': [ + text_tuple, + (r'\{', Operator, '#pop'), + (iden_rex, Name, '#pop'), + ], + 'root': [ + (r'--.*?$', Comment.Single), + (r'//.*?$', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + text_tuple, + (r'(module|open)(\s+)', bygroups(Keyword.Namespace, Text), + 'module'), + (r'(sig|enum)(\s+)', bygroups(Keyword.Declaration, Text), 'sig'), + (r'(iden|univ|none)\b', Keyword.Constant), + (r'(int|Int)\b', Keyword.Type), + (r'(this|abstract|extends|set|seq|one|lone|let)\b', Keyword), + (r'(all|some|no|sum|disj|when|else)\b', Keyword), + (r'(run|check|for|but|exactly|expect|as)\b', Keyword), + (r'(and|or|implies|iff|in)\b', Operator.Word), + (r'(fun|pred|fact|assert)(\s+)', bygroups(Keyword, Text), 'fun'), + (r'!|#|&&|\+\+|<<|>>|>=|<=>|<=|\.|->', Operator), + (r'[-+/*%=<>&!^|~{}\[\]().]', Operator), + (iden_rex, Name), + (r'[:,]', Punctuation), + (r'[0-9]+', Number.Integer), + (r'"(\\\\|\\"|[^"])*"', String), + (r'\n', Text), + ] + } + + +class PanLexer(RegexLexer): + """ + Lexer for `pan `_ source files. + + Based on tcsh lexer. + + .. versionadded:: 2.0 + """ + + name = 'Pan' + aliases = ['pan'] + filenames = ['*.pan'] + + tokens = { + 'root': [ + include('basic'), + (r'\(', Keyword, 'paren'), + (r'\{', Keyword, 'curly'), + include('data'), + ], + 'basic': [ + (words(( + 'if', 'for', 'with', 'else', 'type', 'bind', 'while', 'valid', 'final', + 'prefix', 'unique', 'object', 'foreach', 'include', 'template', + 'function', 'variable', 'structure', 'extensible', 'declaration'), + prefix=r'\b', suffix=r'\s*\b'), + Keyword), + (words(( + 'file_contents', 'format', 'index', 'length', 'match', 'matches', + 'replace', 'splice', 'split', 'substr', 'to_lowercase', 'to_uppercase', + 'debug', 'error', 'traceback', 'deprecated', 'base64_decode', + 'base64_encode', 'digest', 'escape', 'unescape', 'append', 'create', + 'first', 'nlist', 'key', 'list', 'merge', 'next', 'prepend', 'is_boolean', + 'is_defined', 'is_double', 'is_list', 'is_long', 'is_nlist', 'is_null', + 'is_number', 'is_property', 'is_resource', 'is_string', 'to_boolean', + 'to_double', 'to_long', 'to_string', 'clone', 'delete', 'exists', + 'path_exists', 'if_exists', 'return', 'value'), + prefix=r'\b', suffix=r'\s*\b'), + Name.Builtin), + (r'#.*', Comment), + (r'\\[\w\W]', String.Escape), + (r'(\b\w+)(\s*)(=)', bygroups(Name.Variable, Text, Operator)), + (r'[\[\]{}()=]+', Operator), + (r'<<\s*(\'?)\\?(\w+)[\w\W]+?\2', String), + (r';', Punctuation), + ], + 'data': [ + (r'(?s)"(\\\\|\\[0-7]+|\\.|[^"\\])*"', String.Double), + (r"(?s)'(\\\\|\\[0-7]+|\\.|[^'\\])*'", String.Single), + (r'\s+', Text), + (r'[^=\s\[\]{}()$"\'`\\;#]+', Text), + (r'\d+(?= |\Z)', Number), + ], + 'curly': [ + (r'\}', Keyword, '#pop'), + (r':-', Keyword), + (r'\w+', Name.Variable), + (r'[^}:"\'`$]+', Punctuation), + (r':', Punctuation), + include('root'), + ], + 'paren': [ + (r'\)', Keyword, '#pop'), + include('root'), + ], + } + + +class CrmshLexer(RegexLexer): + """ + Lexer for `crmsh `_ configuration files + for Pacemaker clusters. + + .. versionadded:: 2.1 + """ + name = 'Crmsh' + aliases = ['crmsh', 'pcmk'] + filenames = ['*.crmsh', '*.pcmk'] + mimetypes = [] + + elem = words(( + 'node', 'primitive', 'group', 'clone', 'ms', 'location', + 'colocation', 'order', 'fencing_topology', 'rsc_ticket', + 'rsc_template', 'property', 'rsc_defaults', + 'op_defaults', 'acl_target', 'acl_group', 'user', 'role', + 'tag'), suffix=r'(?![\w#$-])') + sub = words(( + 'params', 'meta', 'operations', 'op', 'rule', + 'attributes', 'utilization'), suffix=r'(?![\w#$-])') + acl = words(('read', 'write', 'deny'), suffix=r'(?![\w#$-])') + bin_rel = words(('and', 'or'), suffix=r'(?![\w#$-])') + un_ops = words(('defined', 'not_defined'), suffix=r'(?![\w#$-])') + date_exp = words(('in_range', 'date', 'spec', 'in'), suffix=r'(?![\w#$-])') + acl_mod = (r'(?:tag|ref|reference|attribute|type|xpath)') + bin_ops = (r'(?:lt|gt|lte|gte|eq|ne)') + val_qual = (r'(?:string|version|number)') + rsc_role_action = (r'(?:Master|Started|Slave|Stopped|' + r'start|promote|demote|stop)') + + tokens = { + 'root': [ + (r'^#.*\n?', Comment), + # attr=value (nvpair) + (r'([\w#$-]+)(=)("(?:""|[^"])*"|\S+)', + bygroups(Name.Attribute, Punctuation, String)), + # need this construct, otherwise numeric node ids + # are matched as scores + # elem id: + (r'(node)(\s+)([\w#$-]+)(:)', + bygroups(Keyword, Whitespace, Name, Punctuation)), + # scores + (r'([+-]?([0-9]+|inf)):', Number), + # keywords (elements and other) + (elem, Keyword), + (sub, Keyword), + (acl, Keyword), + # binary operators + (r'(?:%s:)?(%s)(?![\w#$-])' % (val_qual, bin_ops), Operator.Word), + # other operators + (bin_rel, Operator.Word), + (un_ops, Operator.Word), + (date_exp, Operator.Word), + # builtin attributes (e.g. #uname) + (r'#[a-z]+(?![\w#$-])', Name.Builtin), + # acl_mod:blah + (r'(%s)(:)("(?:""|[^"])*"|\S+)' % acl_mod, + bygroups(Keyword, Punctuation, Name)), + # rsc_id[:(role|action)] + # NB: this matches all other identifiers + (r'([\w#$-]+)(?:(:)(%s))?(?![\w#$-])' % rsc_role_action, + bygroups(Name, Punctuation, Operator.Word)), + # punctuation + (r'(\\(?=\n)|[[\](){}/:@])', Punctuation), + (r'\s+|\n', Whitespace), + ], + } + + +class FlatlineLexer(RegexLexer): + """ + Lexer for `Flatline `_ expressions. + + .. versionadded:: 2.2 + """ + name = 'Flatline' + aliases = ['flatline'] + filenames = [] + mimetypes = ['text/x-flatline'] + + special_forms = ('let',) + + builtins = ( + "!=", "*", "+", "-", "<", "<=", "=", ">", ">=", "abs", "acos", "all", + "all-but", "all-with-defaults", "all-with-numeric-default", "and", + "asin", "atan", "avg", "avg-window", "bin-center", "bin-count", "call", + "category-count", "ceil", "cond", "cond-window", "cons", "cos", "cosh", + "count", "diff-window", "div", "ensure-value", "ensure-weighted-value", + "epoch", "epoch-day", "epoch-fields", "epoch-hour", "epoch-millisecond", + "epoch-minute", "epoch-month", "epoch-second", "epoch-weekday", + "epoch-year", "exp", "f", "field", "field-prop", "fields", "filter", + "first", "floor", "head", "if", "in", "integer", "language", "length", + "levenshtein", "linear-regression", "list", "ln", "log", "log10", "map", + "matches", "matches?", "max", "maximum", "md5", "mean", "median", "min", + "minimum", "missing", "missing-count", "missing?", "missing_count", + "mod", "mode", "normalize", "not", "nth", "occurrences", "or", + "percentile", "percentile-label", "population", "population-fraction", + "pow", "preferred", "preferred?", "quantile-label", "rand", "rand-int", + "random-value", "re-quote", "real", "replace", "replace-first", "rest", + "round", "row-number", "segment-label", "sha1", "sha256", "sin", "sinh", + "sqrt", "square", "standard-deviation", "standard_deviation", "str", + "subs", "sum", "sum-squares", "sum-window", "sum_squares", "summary", + "summary-no", "summary-str", "tail", "tan", "tanh", "to-degrees", + "to-radians", "variance", "vectorize", "weighted-random-value", "window", + "winnow", "within-percentiles?", "z-score", + ) + + valid_name = r'(?!#)[\w!$%*+<=>?/.#-]+' + + tokens = { + 'root': [ + # whitespaces - usually not relevant + (r'[,\s]+', Text), + + # numbers + (r'-?\d+\.\d+', Number.Float), + (r'-?\d+', Number.Integer), + (r'0x-?[a-f\d]+', Number.Hex), + + # strings, symbols and characters + (r'"(\\\\|\\"|[^"])*"', String), + (r"\\(.|[a-z]+)", String.Char), + + # expression template placeholder + (r'_', String.Symbol), + + # highlight the special forms + (words(special_forms, suffix=' '), Keyword), + + # highlight the builtins + (words(builtins, suffix=' '), Name.Builtin), + + # the remaining functions + (r'(?<=\()' + valid_name, Name.Function), + + # find the remaining variables + (valid_name, Name.Variable), + + # parentheses + (r'(\(|\))', Punctuation), + ], + } + + +class SnowballLexer(ExtendedRegexLexer): + """ + Lexer for `Snowball `_ source code. + + .. versionadded:: 2.2 + """ + + name = 'Snowball' + aliases = ['snowball'] + filenames = ['*.sbl'] + + _ws = r'\n\r\t ' + + def __init__(self, **options): + self._reset_stringescapes() + ExtendedRegexLexer.__init__(self, **options) + + def _reset_stringescapes(self): + self._start = "'" + self._end = "'" + + def _string(do_string_first): + def callback(lexer, match, ctx): + s = match.start() + text = match.group() + string = re.compile(r'([^%s]*)(.)' % re.escape(lexer._start)).match + escape = re.compile(r'([^%s]*)(.)' % re.escape(lexer._end)).match + pos = 0 + do_string = do_string_first + while pos < len(text): + if do_string: + match = string(text, pos) + yield s + match.start(1), String.Single, match.group(1) + if match.group(2) == "'": + yield s + match.start(2), String.Single, match.group(2) + ctx.stack.pop() + break + yield s + match.start(2), String.Escape, match.group(2) + pos = match.end() + match = escape(text, pos) + yield s + match.start(), String.Escape, match.group() + if match.group(2) != lexer._end: + ctx.stack[-1] = 'escape' + break + pos = match.end() + do_string = True + ctx.pos = s + match.end() + return callback + + def _stringescapes(lexer, match, ctx): + lexer._start = match.group(3) + lexer._end = match.group(5) + return bygroups(Keyword.Reserved, Text, String.Escape, Text, + String.Escape)(lexer, match, ctx) + + tokens = { + 'root': [ + (words(('len', 'lenof'), suffix=r'\b'), Operator.Word), + include('root1'), + ], + 'root1': [ + (r'[%s]+' % _ws, Text), + (r'\d+', Number.Integer), + (r"'", String.Single, 'string'), + (r'[()]', Punctuation), + (r'/\*[\w\W]*?\*/', Comment.Multiline), + (r'//.*', Comment.Single), + (r'[!*+\-/<=>]=|[-=]>|<[+-]|[$*+\-/<=>?\[\]]', Operator), + (words(('as', 'get', 'hex', 'among', 'define', 'decimal', + 'backwardmode'), suffix=r'\b'), + Keyword.Reserved), + (words(('strings', 'booleans', 'integers', 'routines', 'externals', + 'groupings'), suffix=r'\b'), + Keyword.Reserved, 'declaration'), + (words(('do', 'or', 'and', 'for', 'hop', 'non', 'not', 'set', 'try', + 'fail', 'goto', 'loop', 'next', 'test', 'true', + 'false', 'unset', 'atmark', 'attach', 'delete', 'gopast', + 'insert', 'repeat', 'sizeof', 'tomark', 'atleast', + 'atlimit', 'reverse', 'setmark', 'tolimit', 'setlimit', + 'backwards', 'substring'), suffix=r'\b'), + Operator.Word), + (words(('size', 'limit', 'cursor', 'maxint', 'minint'), + suffix=r'\b'), + Name.Builtin), + (r'(stringdef\b)([%s]*)([^%s]+)' % (_ws, _ws), + bygroups(Keyword.Reserved, Text, String.Escape)), + (r'(stringescapes\b)([%s]*)(.)([%s]*)(.)' % (_ws, _ws), + _stringescapes), + (r'[A-Za-z]\w*', Name), + ], + 'declaration': [ + (r'\)', Punctuation, '#pop'), + (words(('len', 'lenof'), suffix=r'\b'), Name, + ('root1', 'declaration')), + include('root1'), + ], + 'string': [ + (r"[^']*'", _string(True)), + ], + 'escape': [ + (r"[^']*'", _string(False)), + ], + } + + def get_tokens_unprocessed(self, text=None, context=None): + self._reset_stringescapes() + return ExtendedRegexLexer.get_tokens_unprocessed(self, text, context) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/dylan.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/dylan.py new file mode 100644 index 0000000000000000000000000000000000000000..f61bb60d162282c73af505ea649f13064ab557c5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/dylan.py @@ -0,0 +1,289 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.dylan + ~~~~~~~~~~~~~~~~~~~~~ + + Lexers for the Dylan language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, bygroups, do_insertions, default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Generic, Literal + +__all__ = ['DylanLexer', 'DylanConsoleLexer', 'DylanLidLexer'] + + +class DylanLexer(RegexLexer): + """ + For the `Dylan `_ language. + + .. versionadded:: 0.7 + """ + + name = 'Dylan' + aliases = ['dylan'] + filenames = ['*.dylan', '*.dyl', '*.intr'] + mimetypes = ['text/x-dylan'] + + flags = re.IGNORECASE + + builtins = set(( + 'subclass', 'abstract', 'block', 'concrete', 'constant', 'class', + 'compiler-open', 'compiler-sideways', 'domain', 'dynamic', + 'each-subclass', 'exception', 'exclude', 'function', 'generic', + 'handler', 'inherited', 'inline', 'inline-only', 'instance', + 'interface', 'import', 'keyword', 'library', 'macro', 'method', + 'module', 'open', 'primary', 'required', 'sealed', 'sideways', + 'singleton', 'slot', 'thread', 'variable', 'virtual')) + + keywords = set(( + 'above', 'afterwards', 'begin', 'below', 'by', 'case', 'cleanup', + 'create', 'define', 'else', 'elseif', 'end', 'export', 'finally', + 'for', 'from', 'if', 'in', 'let', 'local', 'otherwise', 'rename', + 'select', 'signal', 'then', 'to', 'unless', 'until', 'use', 'when', + 'while')) + + operators = set(( + '~', '+', '-', '*', '|', '^', '=', '==', '~=', '~==', '<', '<=', + '>', '>=', '&', '|')) + + functions = set(( + 'abort', 'abs', 'add', 'add!', 'add-method', 'add-new', 'add-new!', + 'all-superclasses', 'always', 'any?', 'applicable-method?', 'apply', + 'aref', 'aref-setter', 'as', 'as-lowercase', 'as-lowercase!', + 'as-uppercase', 'as-uppercase!', 'ash', 'backward-iteration-protocol', + 'break', 'ceiling', 'ceiling/', 'cerror', 'check-type', 'choose', + 'choose-by', 'complement', 'compose', 'concatenate', 'concatenate-as', + 'condition-format-arguments', 'condition-format-string', 'conjoin', + 'copy-sequence', 'curry', 'default-handler', 'dimension', 'dimensions', + 'direct-subclasses', 'direct-superclasses', 'disjoin', 'do', + 'do-handlers', 'element', 'element-setter', 'empty?', 'error', 'even?', + 'every?', 'false-or', 'fill!', 'find-key', 'find-method', 'first', + 'first-setter', 'floor', 'floor/', 'forward-iteration-protocol', + 'function-arguments', 'function-return-values', + 'function-specializers', 'gcd', 'generic-function-mandatory-keywords', + 'generic-function-methods', 'head', 'head-setter', 'identity', + 'initialize', 'instance?', 'integral?', 'intersection', + 'key-sequence', 'key-test', 'last', 'last-setter', 'lcm', 'limited', + 'list', 'logand', 'logbit?', 'logior', 'lognot', 'logxor', 'make', + 'map', 'map-as', 'map-into', 'max', 'member?', 'merge-hash-codes', + 'min', 'modulo', 'negative', 'negative?', 'next-method', + 'object-class', 'object-hash', 'odd?', 'one-of', 'pair', 'pop', + 'pop-last', 'positive?', 'push', 'push-last', 'range', 'rank', + 'rcurry', 'reduce', 'reduce1', 'remainder', 'remove', 'remove!', + 'remove-duplicates', 'remove-duplicates!', 'remove-key!', + 'remove-method', 'replace-elements!', 'replace-subsequence!', + 'restart-query', 'return-allowed?', 'return-description', + 'return-query', 'reverse', 'reverse!', 'round', 'round/', + 'row-major-index', 'second', 'second-setter', 'shallow-copy', + 'signal', 'singleton', 'size', 'size-setter', 'slot-initialized?', + 'sort', 'sort!', 'sorted-applicable-methods', 'subsequence-position', + 'subtype?', 'table-protocol', 'tail', 'tail-setter', 'third', + 'third-setter', 'truncate', 'truncate/', 'type-error-expected-type', + 'type-error-value', 'type-for-copy', 'type-union', 'union', 'values', + 'vector', 'zero?')) + + valid_name = '\\\\?[\\w!&*<>|^$%@\\-+~?/=]+' + + def get_tokens_unprocessed(self, text): + for index, token, value in RegexLexer.get_tokens_unprocessed(self, text): + if token is Name: + lowercase_value = value.lower() + if lowercase_value in self.builtins: + yield index, Name.Builtin, value + continue + if lowercase_value in self.keywords: + yield index, Keyword, value + continue + if lowercase_value in self.functions: + yield index, Name.Builtin, value + continue + if lowercase_value in self.operators: + yield index, Operator, value + continue + yield index, token, value + + tokens = { + 'root': [ + # Whitespace + (r'\s+', Text), + + # single line comment + (r'//.*?\n', Comment.Single), + + # lid header + (r'([a-z0-9-]+)(:)([ \t]*)(.*(?:\n[ \t].+)*)', + bygroups(Name.Attribute, Operator, Text, String)), + + default('code') # no header match, switch to code + ], + 'code': [ + # Whitespace + (r'\s+', Text), + + # single line comment + (r'//.*?\n', Comment.Single), + + # multi-line comment + (r'/\*', Comment.Multiline, 'comment'), + + # strings and characters + (r'"', String, 'string'), + (r"'(\\.|\\[0-7]{1,3}|\\x[a-f0-9]{1,2}|[^\\\'\n])'", String.Char), + + # binary integer + (r'#b[01]+', Number.Bin), + + # octal integer + (r'#o[0-7]+', Number.Oct), + + # floating point + (r'[-+]?(\d*\.\d+(e[-+]?\d+)?|\d+(\.\d*)?e[-+]?\d+)', Number.Float), + + # decimal integer + (r'[-+]?\d+', Number.Integer), + + # hex integer + (r'#x[0-9a-f]+', Number.Hex), + + # Macro parameters + (r'(\?' + valid_name + ')(:)' + r'(token|name|variable|expression|body|case-body|\*)', + bygroups(Name.Tag, Operator, Name.Builtin)), + (r'(\?)(:)(token|name|variable|expression|body|case-body|\*)', + bygroups(Name.Tag, Operator, Name.Builtin)), + (r'\?' + valid_name, Name.Tag), + + # Punctuation + (r'(=>|::|#\(|#\[|##|\?\?|\?=|\?|[(){}\[\],.;])', Punctuation), + + # Most operators are picked up as names and then re-flagged. + # This one isn't valid in a name though, so we pick it up now. + (r':=', Operator), + + # Pick up #t / #f before we match other stuff with #. + (r'#[tf]', Literal), + + # #"foo" style keywords + (r'#"', String.Symbol, 'keyword'), + + # #rest, #key, #all-keys, etc. + (r'#[a-z0-9-]+', Keyword), + + # required-init-keyword: style keywords. + (valid_name + ':', Keyword), + + # class names + (r'<' + valid_name + '>', Name.Class), + + # define variable forms. + (r'\*' + valid_name + '\*', Name.Variable.Global), + + # define constant forms. + (r'\$' + valid_name, Name.Constant), + + # everything else. We re-flag some of these in the method above. + (valid_name, Name), + ], + 'comment': [ + (r'[^*/]', Comment.Multiline), + (r'/\*', Comment.Multiline, '#push'), + (r'\*/', Comment.Multiline, '#pop'), + (r'[*/]', Comment.Multiline) + ], + 'keyword': [ + (r'"', String.Symbol, '#pop'), + (r'[^\\"]+', String.Symbol), # all other characters + ], + 'string': [ + (r'"', String, '#pop'), + (r'\\([\\abfnrtv"\']|x[a-f0-9]{2,4}|[0-7]{1,3})', String.Escape), + (r'[^\\"\n]+', String), # all other characters + (r'\\\n', String), # line continuation + (r'\\', String), # stray backslash + ] + } + + +class DylanLidLexer(RegexLexer): + """ + For Dylan LID (Library Interchange Definition) files. + + .. versionadded:: 1.6 + """ + + name = 'DylanLID' + aliases = ['dylan-lid', 'lid'] + filenames = ['*.lid', '*.hdp'] + mimetypes = ['text/x-dylan-lid'] + + flags = re.IGNORECASE + + tokens = { + 'root': [ + # Whitespace + (r'\s+', Text), + + # single line comment + (r'//.*?\n', Comment.Single), + + # lid header + (r'(.*?)(:)([ \t]*)(.*(?:\n[ \t].+)*)', + bygroups(Name.Attribute, Operator, Text, String)), + ] + } + + +class DylanConsoleLexer(Lexer): + """ + For Dylan interactive console output like: + + .. sourcecode:: dylan-console + + ? let a = 1; + => 1 + ? a + => 1 + + This is based on a copy of the RubyConsoleLexer. + + .. versionadded:: 1.6 + """ + name = 'Dylan session' + aliases = ['dylan-console', 'dylan-repl'] + filenames = ['*.dylan-console'] + mimetypes = ['text/x-dylan-console'] + + _line_re = re.compile('.*?\n') + _prompt_re = re.compile('\?| ') + + def get_tokens_unprocessed(self, text): + dylexer = DylanLexer(**self.options) + + curcode = '' + insertions = [] + for match in self._line_re.finditer(text): + line = match.group() + m = self._prompt_re.match(line) + if m is not None: + end = m.end() + insertions.append((len(curcode), + [(0, Generic.Prompt, line[:end])])) + curcode += line[end:] + else: + if curcode: + for item in do_insertions(insertions, + dylexer.get_tokens_unprocessed(curcode)): + yield item + curcode = '' + insertions = [] + yield match.start(), Generic.Output, line + if curcode: + for item in do_insertions(insertions, + dylexer.get_tokens_unprocessed(curcode)): + yield item diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ecl.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ecl.py new file mode 100644 index 0000000000000000000000000000000000000000..bd80ad19df4b7872e817a7d37447a077cf8eca00 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ecl.py @@ -0,0 +1,125 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.ecl + ~~~~~~~~~~~~~~~~~~~ + + Lexers for the ECL language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Error + +__all__ = ['ECLLexer'] + + +class ECLLexer(RegexLexer): + """ + Lexer for the declarative big-data `ECL + `_ + language. + + .. versionadded:: 1.5 + """ + + name = 'ECL' + aliases = ['ecl'] + filenames = ['*.ecl'] + mimetypes = ['application/x-ecl'] + + flags = re.IGNORECASE | re.MULTILINE + + tokens = { + 'root': [ + include('whitespace'), + include('statements'), + ], + 'whitespace': [ + (r'\s+', Text), + (r'\/\/.*', Comment.Single), + (r'/(\\\n)?\*(.|\n)*?\*(\\\n)?/', Comment.Multiline), + ], + 'statements': [ + include('types'), + include('keywords'), + include('functions'), + include('hash'), + (r'"', String, 'string'), + (r'\'', String, 'string'), + (r'(\d+\.\d*|\.\d+|\d+)e[+-]?\d+[lu]*', Number.Float), + (r'(\d+\.\d*|\.\d+|\d+f)f?', Number.Float), + (r'0x[0-9a-f]+[lu]*', Number.Hex), + (r'0[0-7]+[lu]*', Number.Oct), + (r'\d+[lu]*', Number.Integer), + (r'\*/', Error), + (r'[~!%^&*+=|?:<>/-]+', Operator), + (r'[{}()\[\],.;]', Punctuation), + (r'[a-z_]\w*', Name), + ], + 'hash': [ + (r'^#.*$', Comment.Preproc), + ], + 'types': [ + (r'(RECORD|END)\D', Keyword.Declaration), + (r'((?:ASCII|BIG_ENDIAN|BOOLEAN|DATA|DECIMAL|EBCDIC|INTEGER|PATTERN|' + r'QSTRING|REAL|RECORD|RULE|SET OF|STRING|TOKEN|UDECIMAL|UNICODE|' + r'UNSIGNED|VARSTRING|VARUNICODE)\d*)(\s+)', + bygroups(Keyword.Type, Text)), + ], + 'keywords': [ + (words(( + 'APPLY', 'ASSERT', 'BUILD', 'BUILDINDEX', 'EVALUATE', 'FAIL', + 'KEYDIFF', 'KEYPATCH', 'LOADXML', 'NOTHOR', 'NOTIFY', 'OUTPUT', + 'PARALLEL', 'SEQUENTIAL', 'SOAPCALL', 'CHECKPOINT', 'DEPRECATED', + 'FAILCODE', 'FAILMESSAGE', 'FAILURE', 'GLOBAL', 'INDEPENDENT', + 'ONWARNING', 'PERSIST', 'PRIORITY', 'RECOVERY', 'STORED', 'SUCCESS', + 'WAIT', 'WHEN'), suffix=r'\b'), + Keyword.Reserved), + # These are classed differently, check later + (words(( + 'ALL', 'AND', 'ANY', 'AS', 'ATMOST', 'BEFORE', 'BEGINC++', 'BEST', 'BETWEEN', 'CASE', + 'CONST', 'COUNTER', 'CSV', 'DESCEND', 'ENCRYPT', 'ENDC++', 'ENDMACRO', 'EXCEPT', + 'EXCLUSIVE', 'EXPIRE', 'EXPORT', 'EXTEND', 'FALSE', 'FEW', 'FIRST', 'FLAT', 'FULL', + 'FUNCTION', 'GROUP', 'HEADER', 'HEADING', 'HOLE', 'IFBLOCK', 'IMPORT', 'IN', 'JOINED', + 'KEEP', 'KEYED', 'LAST', 'LEFT', 'LIMIT', 'LOAD', 'LOCAL', 'LOCALE', 'LOOKUP', 'MACRO', + 'MANY', 'MAXCOUNT', 'MAXLENGTH', 'MIN SKEW', 'MODULE', 'INTERFACE', 'NAMED', 'NOCASE', + 'NOROOT', 'NOSCAN', 'NOSORT', 'NOT', 'OF', 'ONLY', 'OPT', 'OR', 'OUTER', 'OVERWRITE', + 'PACKED', 'PARTITION', 'PENALTY', 'PHYSICALLENGTH', 'PIPE', 'QUOTE', 'RELATIONSHIP', + 'REPEAT', 'RETURN', 'RIGHT', 'SCAN', 'SELF', 'SEPARATOR', 'SERVICE', 'SHARED', 'SKEW', + 'SKIP', 'SQL', 'STORE', 'TERMINATOR', 'THOR', 'THRESHOLD', 'TOKEN', 'TRANSFORM', 'TRIM', + 'TRUE', 'TYPE', 'UNICODEORDER', 'UNSORTED', 'VALIDATE', 'VIRTUAL', 'WHOLE', 'WILD', + 'WITHIN', 'XML', 'XPATH', '__COMPRESSED__'), suffix=r'\b'), + Keyword.Reserved), + ], + 'functions': [ + (words(( + 'ABS', 'ACOS', 'ALLNODES', 'ASCII', 'ASIN', 'ASSTRING', 'ATAN', 'ATAN2', 'AVE', 'CASE', + 'CHOOSE', 'CHOOSEN', 'CHOOSESETS', 'CLUSTERSIZE', 'COMBINE', 'CORRELATION', 'COS', + 'COSH', 'COUNT', 'COVARIANCE', 'CRON', 'DATASET', 'DEDUP', 'DEFINE', 'DENORMALIZE', + 'DISTRIBUTE', 'DISTRIBUTED', 'DISTRIBUTION', 'EBCDIC', 'ENTH', 'ERROR', 'EVALUATE', + 'EVENT', 'EVENTEXTRA', 'EVENTNAME', 'EXISTS', 'EXP', 'FAILCODE', 'FAILMESSAGE', + 'FETCH', 'FROMUNICODE', 'GETISVALID', 'GLOBAL', 'GRAPH', 'GROUP', 'HASH', 'HASH32', + 'HASH64', 'HASHCRC', 'HASHMD5', 'HAVING', 'IF', 'INDEX', 'INTFORMAT', 'ISVALID', + 'ITERATE', 'JOIN', 'KEYUNICODE', 'LENGTH', 'LIBRARY', 'LIMIT', 'LN', 'LOCAL', 'LOG', 'LOOP', + 'MAP', 'MATCHED', 'MATCHLENGTH', 'MATCHPOSITION', 'MATCHTEXT', 'MATCHUNICODE', + 'MAX', 'MERGE', 'MERGEJOIN', 'MIN', 'NOLOCAL', 'NONEMPTY', 'NORMALIZE', 'PARSE', 'PIPE', + 'POWER', 'PRELOAD', 'PROCESS', 'PROJECT', 'PULL', 'RANDOM', 'RANGE', 'RANK', 'RANKED', + 'REALFORMAT', 'RECORDOF', 'REGEXFIND', 'REGEXREPLACE', 'REGROUP', 'REJECTED', + 'ROLLUP', 'ROUND', 'ROUNDUP', 'ROW', 'ROWDIFF', 'SAMPLE', 'SET', 'SIN', 'SINH', 'SIZEOF', + 'SOAPCALL', 'SORT', 'SORTED', 'SQRT', 'STEPPED', 'STORED', 'SUM', 'TABLE', 'TAN', 'TANH', + 'THISNODE', 'TOPN', 'TOUNICODE', 'TRANSFER', 'TRIM', 'TRUNCATE', 'TYPEOF', 'UNGROUP', + 'UNICODEORDER', 'VARIANCE', 'WHICH', 'WORKUNIT', 'XMLDECODE', 'XMLENCODE', + 'XMLTEXT', 'XMLUNICODE'), suffix=r'\b'), + Name.Function), + ], + 'string': [ + (r'"', String, '#pop'), + (r'\'', String, '#pop'), + (r'[^"\']+', String), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/eiffel.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/eiffel.py new file mode 100644 index 0000000000000000000000000000000000000000..a90ab0a5535599649c4e63043bd03a6dcc6c3f13 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/eiffel.py @@ -0,0 +1,65 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.eiffel + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexer for the Eiffel language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, include, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation + +__all__ = ['EiffelLexer'] + + +class EiffelLexer(RegexLexer): + """ + For `Eiffel `_ source code. + + .. versionadded:: 2.0 + """ + name = 'Eiffel' + aliases = ['eiffel'] + filenames = ['*.e'] + mimetypes = ['text/x-eiffel'] + + tokens = { + 'root': [ + (r'[^\S\n]+', Text), + (r'--.*?\n', Comment.Single), + (r'[^\S\n]+', Text), + # Please note that keyword and operator are case insensitive. + (r'(?i)(true|false|void|current|result|precursor)\b', Keyword.Constant), + (r'(?i)(and(\s+then)?|not|xor|implies|or(\s+else)?)\b', Operator.Word), + (words(( + 'across', 'agent', 'alias', 'all', 'as', 'assign', 'attached', + 'attribute', 'check', 'class', 'convert', 'create', 'debug', + 'deferred', 'detachable', 'do', 'else', 'elseif', 'end', 'ensure', + 'expanded', 'export', 'external', 'feature', 'from', 'frozen', 'if', + 'inherit', 'inspect', 'invariant', 'like', 'local', 'loop', 'none', + 'note', 'obsolete', 'old', 'once', 'only', 'redefine', 'rename', + 'require', 'rescue', 'retry', 'select', 'separate', 'then', + 'undefine', 'until', 'variant', 'when'), prefix=r'(?i)\b', suffix=r'\b'), + Keyword.Reserved), + (r'"\[(([^\]%]|\n)|%(.|\n)|\][^"])*?\]"', String), + (r'"([^"%\n]|%.)*?"', String), + include('numbers'), + (r"'([^'%]|%'|%%)'", String.Char), + (r"(//|\\\\|>=|<=|:=|/=|~|/~|[\\?!#%&@|+/\-=>*$<^\[\]])", Operator), + (r"([{}():;,.])", Punctuation), + (r'([a-z]\w*)|([A-Z][A-Z0-9_]*[a-z]\w*)', Name), + (r'([A-Z][A-Z0-9_]*)', Name.Class), + (r'\n+', Text), + ], + 'numbers': [ + (r'0[xX][a-fA-F0-9]+', Number.Hex), + (r'0[bB][01]+', Number.Bin), + (r'0[cC][0-7]+', Number.Oct), + (r'([0-9]+\.[0-9]*)|([0-9]*\.[0-9]+)', Number.Float), + (r'[0-9]+', Number.Integer), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/elm.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/elm.py new file mode 100644 index 0000000000000000000000000000000000000000..0fa36367880ee572e60dff018278dd26881fc3a1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/elm.py @@ -0,0 +1,121 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.elm + ~~~~~~~~~~~~~~~~~~~ + + Lexer for the Elm programming language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, words, include +from pygments.token import Comment, Keyword, Name, Number, Punctuation, String, Text + +__all__ = ['ElmLexer'] + + +class ElmLexer(RegexLexer): + """ + For `Elm `_ source code. + + .. versionadded:: 2.1 + """ + + name = 'Elm' + aliases = ['elm'] + filenames = ['*.elm'] + mimetypes = ['text/x-elm'] + + validName = r'[a-z_][a-zA-Z_\']*' + + specialName = r'^main ' + + builtinOps = ( + '~', '||', '|>', '|', '`', '^', '\\', '\'', '>>', '>=', '>', '==', + '=', '<~', '<|', '<=', '<<', '<-', '<', '::', ':', '/=', '//', '/', + '..', '.', '->', '-', '++', '+', '*', '&&', '%', + ) + + reservedWords = words(( + 'alias', 'as', 'case', 'else', 'if', 'import', 'in', + 'let', 'module', 'of', 'port', 'then', 'type', 'where', + ), suffix=r'\b') + + tokens = { + 'root': [ + + # Comments + (r'\{-', Comment.Multiline, 'comment'), + (r'--.*', Comment.Single), + + # Whitespace + (r'\s+', Text), + + # Strings + (r'"', String, 'doublequote'), + + # Modules + (r'^\s*module\s*', Keyword.Namespace, 'imports'), + + # Imports + (r'^\s*import\s*', Keyword.Namespace, 'imports'), + + # Shaders + (r'\[glsl\|.*', Name.Entity, 'shader'), + + # Keywords + (reservedWords, Keyword.Reserved), + + # Types + (r'[A-Z]\w*', Keyword.Type), + + # Main + (specialName, Keyword.Reserved), + + # Prefix Operators + (words((builtinOps), prefix=r'\(', suffix=r'\)'), Name.Function), + + # Infix Operators + (words((builtinOps)), Name.Function), + + # Numbers + include('numbers'), + + # Variable Names + (validName, Name.Variable), + + # Parens + (r'[,()\[\]{}]', Punctuation), + + ], + + 'comment': [ + (r'-(?!\})', Comment.Multiline), + (r'\{-', Comment.Multiline, 'comment'), + (r'[^-}]', Comment.Multiline), + (r'-\}', Comment.Multiline, '#pop'), + ], + + 'doublequote': [ + (r'\\u[0-9a-fA-F]{4}', String.Escape), + (r'\\[nrfvb\\"]', String.Escape), + (r'[^"]', String), + (r'"', String, '#pop'), + ], + + 'imports': [ + (r'\w+(\.\w+)*', Name.Class, '#pop'), + ], + + 'numbers': [ + (r'_?\d+\.(?=\d+)', Number.Float), + (r'_?\d+', Number.Integer), + ], + + 'shader': [ + (r'\|(?!\])', Name.Entity), + (r'\|\]', Name.Entity, '#pop'), + (r'.*\n', Name.Entity), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/erlang.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/erlang.py new file mode 100644 index 0000000000000000000000000000000000000000..9e7f85c1adaec89a7dee56a511388858a17a2926 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/erlang.py @@ -0,0 +1,533 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.erlang + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Erlang. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, bygroups, words, do_insertions, \ + include, default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Generic + +__all__ = ['ErlangLexer', 'ErlangShellLexer', 'ElixirConsoleLexer', + 'ElixirLexer'] + + +line_re = re.compile('.*?\n') + + +class ErlangLexer(RegexLexer): + """ + For the Erlang functional programming language. + + Blame Jeremy Thurgood (http://jerith.za.net/). + + .. versionadded:: 0.9 + """ + + name = 'Erlang' + aliases = ['erlang'] + filenames = ['*.erl', '*.hrl', '*.es', '*.escript'] + mimetypes = ['text/x-erlang'] + + keywords = ( + 'after', 'begin', 'case', 'catch', 'cond', 'end', 'fun', 'if', + 'let', 'of', 'query', 'receive', 'try', 'when', + ) + + builtins = ( # See erlang(3) man page + 'abs', 'append_element', 'apply', 'atom_to_list', 'binary_to_list', + 'bitstring_to_list', 'binary_to_term', 'bit_size', 'bump_reductions', + 'byte_size', 'cancel_timer', 'check_process_code', 'delete_module', + 'demonitor', 'disconnect_node', 'display', 'element', 'erase', 'exit', + 'float', 'float_to_list', 'fun_info', 'fun_to_list', + 'function_exported', 'garbage_collect', 'get', 'get_keys', + 'group_leader', 'hash', 'hd', 'integer_to_list', 'iolist_to_binary', + 'iolist_size', 'is_atom', 'is_binary', 'is_bitstring', 'is_boolean', + 'is_builtin', 'is_float', 'is_function', 'is_integer', 'is_list', + 'is_number', 'is_pid', 'is_port', 'is_process_alive', 'is_record', + 'is_reference', 'is_tuple', 'length', 'link', 'list_to_atom', + 'list_to_binary', 'list_to_bitstring', 'list_to_existing_atom', + 'list_to_float', 'list_to_integer', 'list_to_pid', 'list_to_tuple', + 'load_module', 'localtime_to_universaltime', 'make_tuple', 'md5', + 'md5_final', 'md5_update', 'memory', 'module_loaded', 'monitor', + 'monitor_node', 'node', 'nodes', 'open_port', 'phash', 'phash2', + 'pid_to_list', 'port_close', 'port_command', 'port_connect', + 'port_control', 'port_call', 'port_info', 'port_to_list', + 'process_display', 'process_flag', 'process_info', 'purge_module', + 'put', 'read_timer', 'ref_to_list', 'register', 'resume_process', + 'round', 'send', 'send_after', 'send_nosuspend', 'set_cookie', + 'setelement', 'size', 'spawn', 'spawn_link', 'spawn_monitor', + 'spawn_opt', 'split_binary', 'start_timer', 'statistics', + 'suspend_process', 'system_flag', 'system_info', 'system_monitor', + 'system_profile', 'term_to_binary', 'tl', 'trace', 'trace_delivered', + 'trace_info', 'trace_pattern', 'trunc', 'tuple_size', 'tuple_to_list', + 'universaltime_to_localtime', 'unlink', 'unregister', 'whereis' + ) + + operators = r'(\+\+?|--?|\*|/|<|>|/=|=:=|=/=|=<|>=|==?|<-|!|\?)' + word_operators = ( + 'and', 'andalso', 'band', 'bnot', 'bor', 'bsl', 'bsr', 'bxor', + 'div', 'not', 'or', 'orelse', 'rem', 'xor' + ) + + atom_re = r"(?:[a-z]\w*|'[^\n']*[^\\]')" + + variable_re = r'(?:[A-Z_]\w*)' + + esc_char_re = r'[bdefnrstv\'"\\]' + esc_octal_re = r'[0-7][0-7]?[0-7]?' + esc_hex_re = r'(?:x[0-9a-fA-F]{2}|x\{[0-9a-fA-F]+\})' + esc_ctrl_re = r'\^[a-zA-Z]' + escape_re = r'(?:\\(?:'+esc_char_re+r'|'+esc_octal_re+r'|'+esc_hex_re+r'|'+esc_ctrl_re+r'))' + + macro_re = r'(?:'+variable_re+r'|'+atom_re+r')' + + base_re = r'(?:[2-9]|[12][0-9]|3[0-6])' + + tokens = { + 'root': [ + (r'\s+', Text), + (r'%.*\n', Comment), + (words(keywords, suffix=r'\b'), Keyword), + (words(builtins, suffix=r'\b'), Name.Builtin), + (words(word_operators, suffix=r'\b'), Operator.Word), + (r'^-', Punctuation, 'directive'), + (operators, Operator), + (r'"', String, 'string'), + (r'<<', Name.Label), + (r'>>', Name.Label), + ('(' + atom_re + ')(:)', bygroups(Name.Namespace, Punctuation)), + ('(?:^|(?<=:))(' + atom_re + r')(\s*)(\()', + bygroups(Name.Function, Text, Punctuation)), + (r'[+-]?' + base_re + r'#[0-9a-zA-Z]+', Number.Integer), + (r'[+-]?\d+', Number.Integer), + (r'[+-]?\d+.\d+', Number.Float), + (r'[]\[:_@\".{}()|;,]', Punctuation), + (variable_re, Name.Variable), + (atom_re, Name), + (r'\?'+macro_re, Name.Constant), + (r'\$(?:'+escape_re+r'|\\[ %]|[^\\])', String.Char), + (r'#'+atom_re+r'(:?\.'+atom_re+r')?', Name.Label), + + # Erlang script shebang + (r'\A#!.+\n', Comment.Hashbang), + + # EEP 43: Maps + # http://www.erlang.org/eeps/eep-0043.html + (r'#\{', Punctuation, 'map_key'), + ], + 'string': [ + (escape_re, String.Escape), + (r'"', String, '#pop'), + (r'~[0-9.*]*[~#+BPWXb-ginpswx]', String.Interpol), + (r'[^"\\~]+', String), + (r'~', String), + ], + 'directive': [ + (r'(define)(\s*)(\()('+macro_re+r')', + bygroups(Name.Entity, Text, Punctuation, Name.Constant), '#pop'), + (r'(record)(\s*)(\()('+macro_re+r')', + bygroups(Name.Entity, Text, Punctuation, Name.Label), '#pop'), + (atom_re, Name.Entity, '#pop'), + ], + 'map_key': [ + include('root'), + (r'=>', Punctuation, 'map_val'), + (r':=', Punctuation, 'map_val'), + (r'\}', Punctuation, '#pop'), + ], + 'map_val': [ + include('root'), + (r',', Punctuation, '#pop'), + (r'(?=\})', Punctuation, '#pop'), + ], + } + + +class ErlangShellLexer(Lexer): + """ + Shell sessions in erl (for Erlang code). + + .. versionadded:: 1.1 + """ + name = 'Erlang erl session' + aliases = ['erl'] + filenames = ['*.erl-sh'] + mimetypes = ['text/x-erl-shellsession'] + + _prompt_re = re.compile(r'\d+>(?=\s|\Z)') + + def get_tokens_unprocessed(self, text): + erlexer = ErlangLexer(**self.options) + + curcode = '' + insertions = [] + for match in line_re.finditer(text): + line = match.group() + m = self._prompt_re.match(line) + if m is not None: + end = m.end() + insertions.append((len(curcode), + [(0, Generic.Prompt, line[:end])])) + curcode += line[end:] + else: + if curcode: + for item in do_insertions(insertions, + erlexer.get_tokens_unprocessed(curcode)): + yield item + curcode = '' + insertions = [] + if line.startswith('*'): + yield match.start(), Generic.Traceback, line + else: + yield match.start(), Generic.Output, line + if curcode: + for item in do_insertions(insertions, + erlexer.get_tokens_unprocessed(curcode)): + yield item + + +def gen_elixir_string_rules(name, symbol, token): + states = {} + states['string_' + name] = [ + (r'[^#%s\\]+' % (symbol,), token), + include('escapes'), + (r'\\.', token), + (r'(%s)' % (symbol,), bygroups(token), "#pop"), + include('interpol') + ] + return states + + +def gen_elixir_sigstr_rules(term, token, interpol=True): + if interpol: + return [ + (r'[^#%s\\]+' % (term,), token), + include('escapes'), + (r'\\.', token), + (r'%s[a-zA-Z]*' % (term,), token, '#pop'), + include('interpol') + ] + else: + return [ + (r'[^%s\\]+' % (term,), token), + (r'\\.', token), + (r'%s[a-zA-Z]*' % (term,), token, '#pop'), + ] + + +class ElixirLexer(RegexLexer): + """ + For the `Elixir language `_. + + .. versionadded:: 1.5 + """ + + name = 'Elixir' + aliases = ['elixir', 'ex', 'exs'] + filenames = ['*.ex', '*.exs'] + mimetypes = ['text/x-elixir'] + + KEYWORD = ('fn', 'do', 'end', 'after', 'else', 'rescue', 'catch') + KEYWORD_OPERATOR = ('not', 'and', 'or', 'when', 'in') + BUILTIN = ( + 'case', 'cond', 'for', 'if', 'unless', 'try', 'receive', 'raise', + 'quote', 'unquote', 'unquote_splicing', 'throw', 'super', + ) + BUILTIN_DECLARATION = ( + 'def', 'defp', 'defmodule', 'defprotocol', 'defmacro', 'defmacrop', + 'defdelegate', 'defexception', 'defstruct', 'defimpl', 'defcallback', + ) + + BUILTIN_NAMESPACE = ('import', 'require', 'use', 'alias') + CONSTANT = ('nil', 'true', 'false') + + PSEUDO_VAR = ('_', '__MODULE__', '__DIR__', '__ENV__', '__CALLER__') + + OPERATORS3 = ( + '<<<', '>>>', '|||', '&&&', '^^^', '~~~', '===', '!==', + '~>>', '<~>', '|~>', '<|>', + ) + OPERATORS2 = ( + '==', '!=', '<=', '>=', '&&', '||', '<>', '++', '--', '|>', '=~', + '->', '<-', '|', '.', '=', '~>', '<~', + ) + OPERATORS1 = ('<', '>', '+', '-', '*', '/', '!', '^', '&') + + PUNCTUATION = ( + '\\\\', '<<', '>>', '=>', '(', ')', ':', ';', ',', '[', ']', + ) + + def get_tokens_unprocessed(self, text): + for index, token, value in RegexLexer.get_tokens_unprocessed(self, text): + if token is Name: + if value in self.KEYWORD: + yield index, Keyword, value + elif value in self.KEYWORD_OPERATOR: + yield index, Operator.Word, value + elif value in self.BUILTIN: + yield index, Keyword, value + elif value in self.BUILTIN_DECLARATION: + yield index, Keyword.Declaration, value + elif value in self.BUILTIN_NAMESPACE: + yield index, Keyword.Namespace, value + elif value in self.CONSTANT: + yield index, Name.Constant, value + elif value in self.PSEUDO_VAR: + yield index, Name.Builtin.Pseudo, value + else: + yield index, token, value + else: + yield index, token, value + + def gen_elixir_sigil_rules(): + # all valid sigil terminators (excluding heredocs) + terminators = [ + (r'\{', r'\}', 'cb'), + (r'\[', r'\]', 'sb'), + (r'\(', r'\)', 'pa'), + (r'<', r'>', 'ab'), + (r'/', r'/', 'slas'), + (r'\|', r'\|', 'pipe'), + ('"', '"', 'quot'), + ("'", "'", 'apos'), + ] + + # heredocs have slightly different rules + triquotes = [(r'"""', 'triquot'), (r"'''", 'triapos')] + + token = String.Other + states = {'sigils': []} + + for term, name in triquotes: + states['sigils'] += [ + (r'(~[a-z])(%s)' % (term,), bygroups(token, String.Heredoc), + (name + '-end', name + '-intp')), + (r'(~[A-Z])(%s)' % (term,), bygroups(token, String.Heredoc), + (name + '-end', name + '-no-intp')), + ] + + states[name + '-end'] = [ + (r'[a-zA-Z]+', token, '#pop'), + default('#pop'), + ] + states[name + '-intp'] = [ + (r'^\s*' + term, String.Heredoc, '#pop'), + include('heredoc_interpol'), + ] + states[name + '-no-intp'] = [ + (r'^\s*' + term, String.Heredoc, '#pop'), + include('heredoc_no_interpol'), + ] + + for lterm, rterm, name in terminators: + states['sigils'] += [ + (r'~[a-z]' + lterm, token, name + '-intp'), + (r'~[A-Z]' + lterm, token, name + '-no-intp'), + ] + states[name + '-intp'] = gen_elixir_sigstr_rules(rterm, token) + states[name + '-no-intp'] = \ + gen_elixir_sigstr_rules(rterm, token, interpol=False) + + return states + + op3_re = "|".join(re.escape(s) for s in OPERATORS3) + op2_re = "|".join(re.escape(s) for s in OPERATORS2) + op1_re = "|".join(re.escape(s) for s in OPERATORS1) + ops_re = r'(?:%s|%s|%s)' % (op3_re, op2_re, op1_re) + punctuation_re = "|".join(re.escape(s) for s in PUNCTUATION) + alnum = '\w' + name_re = r'(?:\.\.\.|[a-z_]%s*[!?]?)' % alnum + modname_re = r'[A-Z]%(alnum)s*(?:\.[A-Z]%(alnum)s*)*' % {'alnum': alnum} + complex_name_re = r'(?:%s|%s|%s)' % (name_re, modname_re, ops_re) + special_atom_re = r'(?:\.\.\.|<<>>|%\{\}|%|\{\})' + + long_hex_char_re = r'(\\x\{)([\da-fA-F]+)(\})' + hex_char_re = r'(\\x[\da-fA-F]{1,2})' + escape_char_re = r'(\\[abdefnrstv])' + + tokens = { + 'root': [ + (r'\s+', Text), + (r'#.*$', Comment.Single), + + # Various kinds of characters + (r'(\?)' + long_hex_char_re, + bygroups(String.Char, + String.Escape, Number.Hex, String.Escape)), + (r'(\?)' + hex_char_re, + bygroups(String.Char, String.Escape)), + (r'(\?)' + escape_char_re, + bygroups(String.Char, String.Escape)), + (r'\?\\?.', String.Char), + + # '::' has to go before atoms + (r':::', String.Symbol), + (r'::', Operator), + + # atoms + (r':' + special_atom_re, String.Symbol), + (r':' + complex_name_re, String.Symbol), + (r':"', String.Symbol, 'string_double_atom'), + (r":'", String.Symbol, 'string_single_atom'), + + # [keywords: ...] + (r'(%s|%s)(:)(?=\s|\n)' % (special_atom_re, complex_name_re), + bygroups(String.Symbol, Punctuation)), + + # @attributes + (r'@' + name_re, Name.Attribute), + + # identifiers + (name_re, Name), + (r'(%%?)(%s)' % (modname_re,), bygroups(Punctuation, Name.Class)), + + # operators and punctuation + (op3_re, Operator), + (op2_re, Operator), + (punctuation_re, Punctuation), + (r'&\d', Name.Entity), # anon func arguments + (op1_re, Operator), + + # numbers + (r'0b[01]+', Number.Bin), + (r'0o[0-7]+', Number.Oct), + (r'0x[\da-fA-F]+', Number.Hex), + (r'\d(_?\d)*\.\d(_?\d)*([eE][-+]?\d(_?\d)*)?', Number.Float), + (r'\d(_?\d)*', Number.Integer), + + # strings and heredocs + (r'"""\s*', String.Heredoc, 'heredoc_double'), + (r"'''\s*$", String.Heredoc, 'heredoc_single'), + (r'"', String.Double, 'string_double'), + (r"'", String.Single, 'string_single'), + + include('sigils'), + + (r'%\{', Punctuation, 'map_key'), + (r'\{', Punctuation, 'tuple'), + ], + 'heredoc_double': [ + (r'^\s*"""', String.Heredoc, '#pop'), + include('heredoc_interpol'), + ], + 'heredoc_single': [ + (r"^\s*'''", String.Heredoc, '#pop'), + include('heredoc_interpol'), + ], + 'heredoc_interpol': [ + (r'[^#\\\n]+', String.Heredoc), + include('escapes'), + (r'\\.', String.Heredoc), + (r'\n+', String.Heredoc), + include('interpol'), + ], + 'heredoc_no_interpol': [ + (r'[^\\\n]+', String.Heredoc), + (r'\\.', String.Heredoc), + (r'\n+', String.Heredoc), + ], + 'escapes': [ + (long_hex_char_re, + bygroups(String.Escape, Number.Hex, String.Escape)), + (hex_char_re, String.Escape), + (escape_char_re, String.Escape), + ], + 'interpol': [ + (r'#\{', String.Interpol, 'interpol_string'), + ], + 'interpol_string': [ + (r'\}', String.Interpol, "#pop"), + include('root') + ], + 'map_key': [ + include('root'), + (r':', Punctuation, 'map_val'), + (r'=>', Punctuation, 'map_val'), + (r'\}', Punctuation, '#pop'), + ], + 'map_val': [ + include('root'), + (r',', Punctuation, '#pop'), + (r'(?=\})', Punctuation, '#pop'), + ], + 'tuple': [ + include('root'), + (r'\}', Punctuation, '#pop'), + ], + } + tokens.update(gen_elixir_string_rules('double', '"', String.Double)) + tokens.update(gen_elixir_string_rules('single', "'", String.Single)) + tokens.update(gen_elixir_string_rules('double_atom', '"', String.Symbol)) + tokens.update(gen_elixir_string_rules('single_atom', "'", String.Symbol)) + tokens.update(gen_elixir_sigil_rules()) + + +class ElixirConsoleLexer(Lexer): + """ + For Elixir interactive console (iex) output like: + + .. sourcecode:: iex + + iex> [head | tail] = [1,2,3] + [1,2,3] + iex> head + 1 + iex> tail + [2,3] + iex> [head | tail] + [1,2,3] + iex> length [head | tail] + 3 + + .. versionadded:: 1.5 + """ + + name = 'Elixir iex session' + aliases = ['iex'] + mimetypes = ['text/x-elixir-shellsession'] + + _prompt_re = re.compile('(iex|\.{3})(\(\d+\))?> ') + + def get_tokens_unprocessed(self, text): + exlexer = ElixirLexer(**self.options) + + curcode = '' + in_error = False + insertions = [] + for match in line_re.finditer(text): + line = match.group() + if line.startswith(u'** '): + in_error = True + insertions.append((len(curcode), + [(0, Generic.Error, line[:-1])])) + curcode += line[-1:] + else: + m = self._prompt_re.match(line) + if m is not None: + in_error = False + end = m.end() + insertions.append((len(curcode), + [(0, Generic.Prompt, line[:end])])) + curcode += line[end:] + else: + if curcode: + for item in do_insertions( + insertions, exlexer.get_tokens_unprocessed(curcode)): + yield item + curcode = '' + insertions = [] + token = Generic.Error if in_error else Generic.Output + yield match.start(), token, line + if curcode: + for item in do_insertions( + insertions, exlexer.get_tokens_unprocessed(curcode)): + yield item diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/esoteric.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/esoteric.py new file mode 100644 index 0000000000000000000000000000000000000000..793c28be4b038adbf0502ce0faa209e2a970d791 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/esoteric.py @@ -0,0 +1,277 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.esoteric + ~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for esoteric languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, include, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Error + +__all__ = ['BrainfuckLexer', 'BefungeLexer', 'RedcodeLexer', 'CAmkESLexer', + 'CapDLLexer', 'AheuiLexer'] + + +class BrainfuckLexer(RegexLexer): + """ + Lexer for the esoteric `BrainFuck `_ + language. + """ + + name = 'Brainfuck' + aliases = ['brainfuck', 'bf'] + filenames = ['*.bf', '*.b'] + mimetypes = ['application/x-brainfuck'] + + tokens = { + 'common': [ + # use different colors for different instruction types + (r'[.,]+', Name.Tag), + (r'[+-]+', Name.Builtin), + (r'[<>]+', Name.Variable), + (r'[^.,+\-<>\[\]]+', Comment), + ], + 'root': [ + (r'\[', Keyword, 'loop'), + (r'\]', Error), + include('common'), + ], + 'loop': [ + (r'\[', Keyword, '#push'), + (r'\]', Keyword, '#pop'), + include('common'), + ] + } + + +class BefungeLexer(RegexLexer): + """ + Lexer for the esoteric `Befunge `_ + language. + + .. versionadded:: 0.7 + """ + name = 'Befunge' + aliases = ['befunge'] + filenames = ['*.befunge'] + mimetypes = ['application/x-befunge'] + + tokens = { + 'root': [ + (r'[0-9a-f]', Number), + (r'[+*/%!`-]', Operator), # Traditional math + (r'[<>^v?\[\]rxjk]', Name.Variable), # Move, imperatives + (r'[:\\$.,n]', Name.Builtin), # Stack ops, imperatives + (r'[|_mw]', Keyword), + (r'[{}]', Name.Tag), # Befunge-98 stack ops + (r'".*?"', String.Double), # Strings don't appear to allow escapes + (r'\'.', String.Single), # Single character + (r'[#;]', Comment), # Trampoline... depends on direction hit + (r'[pg&~=@iotsy]', Keyword), # Misc + (r'[()A-Z]', Comment), # Fingerprints + (r'\s+', Text), # Whitespace doesn't matter + ], + } + + +class CAmkESLexer(RegexLexer): + """ + Basic lexer for the input language for the + `CAmkES `_ component platform. + + .. versionadded:: 2.1 + """ + name = 'CAmkES' + aliases = ['camkes', 'idl4'] + filenames = ['*.camkes', '*.idl4'] + + tokens = { + 'root': [ + # C pre-processor directive + (r'^\s*#.*\n', Comment.Preproc), + + # Whitespace, comments + (r'\s+', Text), + (r'/\*(.|\n)*?\*/', Comment), + (r'//.*\n', Comment), + + (r'[\[(){},.;\]]', Punctuation), + (r'[~!%^&*+=|?:<>/-]', Operator), + + (words(('assembly', 'attribute', 'component', 'composition', + 'configuration', 'connection', 'connector', 'consumes', + 'control', 'dataport', 'Dataport', 'Dataports', 'emits', + 'event', 'Event', 'Events', 'export', 'from', 'group', + 'hardware', 'has', 'interface', 'Interface', 'maybe', + 'procedure', 'Procedure', 'Procedures', 'provides', + 'template', 'thread', 'threads', 'to', 'uses', 'with'), + suffix=r'\b'), Keyword), + + (words(('bool', 'boolean', 'Buf', 'char', 'character', 'double', + 'float', 'in', 'inout', 'int', 'int16_6', 'int32_t', + 'int64_t', 'int8_t', 'integer', 'mutex', 'out', 'real', + 'refin', 'semaphore', 'signed', 'string', 'struct', + 'uint16_t', 'uint32_t', 'uint64_t', 'uint8_t', 'uintptr_t', + 'unsigned', 'void'), + suffix=r'\b'), Keyword.Type), + + # Recognised attributes + (r'[a-zA-Z_]\w*_(priority|domain|buffer)', Keyword.Reserved), + (words(('dma_pool', 'from_access', 'to_access'), suffix=r'\b'), + Keyword.Reserved), + + # CAmkES-level include + (r'import\s+(<[^>]*>|"[^"]*");', Comment.Preproc), + + # C-level include + (r'include\s+(<[^>]*>|"[^"]*");', Comment.Preproc), + + # Literals + (r'0[xX][\da-fA-F]+', Number.Hex), + (r'-?[\d]+', Number), + (r'-?[\d]+\.[\d]+', Number.Float), + (r'"[^"]*"', String), + (r'[Tt]rue|[Ff]alse', Name.Builtin), + + # Identifiers + (r'[a-zA-Z_]\w*', Name), + ], + } + + +class CapDLLexer(RegexLexer): + """ + Basic lexer for + `CapDL `_. + + The source of the primary tool that reads such specifications is available + at https://github.com/seL4/capdl/tree/master/capDL-tool. Note that this + lexer only supports a subset of the grammar. For example, identifiers can + shadow type names, but these instances are currently incorrectly + highlighted as types. Supporting this would need a stateful lexer that is + considered unnecessarily complex for now. + + .. versionadded:: 2.2 + """ + name = 'CapDL' + aliases = ['capdl'] + filenames = ['*.cdl'] + + tokens = { + 'root': [ + # C pre-processor directive + (r'^\s*#.*\n', Comment.Preproc), + + # Whitespace, comments + (r'\s+', Text), + (r'/\*(.|\n)*?\*/', Comment), + (r'(//|--).*\n', Comment), + + (r'[<>\[(){},:;=\]]', Punctuation), + (r'\.\.', Punctuation), + + (words(('arch', 'arm11', 'caps', 'child_of', 'ia32', 'irq', 'maps', + 'objects'), suffix=r'\b'), Keyword), + + (words(('aep', 'asid_pool', 'cnode', 'ep', 'frame', 'io_device', + 'io_ports', 'io_pt', 'notification', 'pd', 'pt', 'tcb', + 'ut', 'vcpu'), suffix=r'\b'), Keyword.Type), + + # Properties + (words(('asid', 'addr', 'badge', 'cached', 'dom', 'domainID', 'elf', + 'fault_ep', 'G', 'guard', 'guard_size', 'init', 'ip', + 'prio', 'sp', 'R', 'RG', 'RX', 'RW', 'RWG', 'RWX', 'W', + 'WG', 'WX', 'level', 'masked', 'master_reply', 'paddr', + 'ports', 'reply', 'uncached'), suffix=r'\b'), + Keyword.Reserved), + + # Literals + (r'0[xX][\da-fA-F]+', Number.Hex), + (r'\d+(\.\d+)?(k|M)?', Number), + (words(('bits',), suffix=r'\b'), Number), + (words(('cspace', 'vspace', 'reply_slot', 'caller_slot', + 'ipc_buffer_slot'), suffix=r'\b'), Number), + + # Identifiers + (r'[a-zA-Z_][-@\.\w]*', Name), + ], + } + + +class RedcodeLexer(RegexLexer): + """ + A simple Redcode lexer based on ICWS'94. + Contributed by Adam Blinkinsop . + + .. versionadded:: 0.8 + """ + name = 'Redcode' + aliases = ['redcode'] + filenames = ['*.cw'] + + opcodes = ('DAT', 'MOV', 'ADD', 'SUB', 'MUL', 'DIV', 'MOD', + 'JMP', 'JMZ', 'JMN', 'DJN', 'CMP', 'SLT', 'SPL', + 'ORG', 'EQU', 'END') + modifiers = ('A', 'B', 'AB', 'BA', 'F', 'X', 'I') + + tokens = { + 'root': [ + # Whitespace: + (r'\s+', Text), + (r';.*$', Comment.Single), + # Lexemes: + # Identifiers + (r'\b(%s)\b' % '|'.join(opcodes), Name.Function), + (r'\b(%s)\b' % '|'.join(modifiers), Name.Decorator), + (r'[A-Za-z_]\w+', Name), + # Operators + (r'[-+*/%]', Operator), + (r'[#$@<>]', Operator), # mode + (r'[.,]', Punctuation), # mode + # Numbers + (r'[-+]?\d+', Number.Integer), + ], + } + + +class AheuiLexer(RegexLexer): + """ + Aheui_ Lexer. + + Aheui_ is esoteric language based on Korean alphabets. + + .. _Aheui:: http://aheui.github.io/ + + """ + + name = 'Aheui' + aliases = ['aheui'] + filenames = ['*.aheui'] + + tokens = { + 'root': [ + (u'[' + u'나-낳냐-냫너-넣녀-녛노-놓뇨-눟뉴-닇' + u'다-닿댜-댷더-덯뎌-뎧도-돟됴-둫듀-딓' + u'따-땋땨-떃떠-떻뗘-뗳또-똫뚀-뚷뜌-띟' + u'라-랗랴-럏러-렇려-렿로-롷료-뤃류-릫' + u'마-맣먀-먛머-멓며-몋모-뫃묘-뭏뮤-믷' + u'바-밯뱌-뱧버-벟벼-볗보-봏뵤-붛뷰-빃' + u'빠-빻뺘-뺳뻐-뻫뼈-뼣뽀-뽛뾰-뿧쀼-삏' + u'사-샇샤-샿서-섷셔-셯소-솧쇼-숳슈-싛' + u'싸-쌓쌰-썋써-쎃쎠-쎻쏘-쏳쑈-쑿쓔-씧' + u'자-잫쟈-쟣저-젛져-졓조-좋죠-줗쥬-즿' + u'차-챃챠-챻처-첳쳐-쳫초-촣쵸-춯츄-칗' + u'카-캏캬-컇커-컿켜-켷코-콯쿄-쿻큐-킣' + u'타-탛탸-턓터-텋텨-톃토-톻툐-퉇튜-틯' + u'파-팧퍄-퍟퍼-펗펴-폏포-퐇표-풓퓨-픻' + u'하-핳햐-햫허-헣혀-혛호-홓효-훟휴-힇' + u']', Operator), + ('.', Comment), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ezhil.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ezhil.py new file mode 100644 index 0000000000000000000000000000000000000000..ce1cdb2df1ab5a385d1c88076845738195f3e54e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ezhil.py @@ -0,0 +1,69 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.ezhil + ~~~~~~~~~~~~~~~~~~~~~ + + Pygments lexers for Ezhil language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re +from pygments.lexer import RegexLexer, include, words +from pygments.token import Keyword, Text, Comment, Name +from pygments.token import String, Number, Punctuation, Operator + +__all__ = ['EzhilLexer'] + + +class EzhilLexer(RegexLexer): + """ + Lexer for `Ezhil, a Tamil script-based programming language `_ + + .. versionadded:: 2.1 + """ + name = 'Ezhil' + aliases = ['ezhil'] + filenames = ['*.n'] + mimetypes = ['text/x-ezhil'] + flags = re.MULTILINE | re.UNICODE + # Refer to tamil.utf8.tamil_letters from open-tamil for a stricter version of this. + # This much simpler version is close enough, and includes combining marks. + _TALETTERS = u'[a-zA-Z_]|[\u0b80-\u0bff]' + tokens = { + 'root': [ + include('keywords'), + (r'#.*\n', Comment.Single), + (r'[@+/*,^\-%]|[!<>=]=?|&&?|\|\|?', Operator), + (u'இல்', Operator.Word), + (words((u'assert', u'max', u'min', + u'நீளம்', u'சரம்_இடமாற்று', u'சரம்_கண்டுபிடி', + u'பட்டியல்', u'பின்இணை', u'வரிசைப்படுத்து', + u'எடு', u'தலைகீழ்', u'நீட்டிக்க', u'நுழைக்க', u'வை', + u'கோப்பை_திற', u'கோப்பை_எழுது', u'கோப்பை_மூடு', + u'pi', u'sin', u'cos', u'tan', u'sqrt', u'hypot', u'pow', + u'exp', u'log', u'log10', u'exit', + ), suffix=r'\b'), Name.Builtin), + (r'(True|False)\b', Keyword.Constant), + (r'[^\S\n]+', Text), + include('identifier'), + include('literal'), + (r'[(){}\[\]:;.]', Punctuation), + ], + 'keywords': [ + (u'பதிப்பி|தேர்ந்தெடு|தேர்வு|ஏதேனில்|ஆனால்|இல்லைஆனால்|இல்லை|ஆக|ஒவ்வொன்றாக|இல்|வரை|செய்|முடியேனில்|பின்கொடு|முடி|நிரல்பாகம்|தொடர்|நிறுத்து|நிரல்பாகம்', Keyword), + ], + 'identifier': [ + (u'(?:'+_TALETTERS+u')(?:[0-9]|'+_TALETTERS+u')*', Name), + ], + 'literal': [ + (r'".*?"', String), + (r'(?u)\d+((\.\d*)?[eE][+-]?\d+|\.\d*)', Number.Float), + (r'(?u)\d+', Number.Integer), + ] + } + + def __init__(self, **options): + super(EzhilLexer, self).__init__(**options) + self.encoding = options.get('encoding', 'utf-8') diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/factor.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/factor.py new file mode 100644 index 0000000000000000000000000000000000000000..09d85c276a2f6ef102f8c8614daf785ba56604a6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/factor.py @@ -0,0 +1,344 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.factor + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for the Factor language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, bygroups, default, words +from pygments.token import Text, Comment, Keyword, Name, String, Number + +__all__ = ['FactorLexer'] + + +class FactorLexer(RegexLexer): + """ + Lexer for the `Factor `_ language. + + .. versionadded:: 1.4 + """ + name = 'Factor' + aliases = ['factor'] + filenames = ['*.factor'] + mimetypes = ['text/x-factor'] + + flags = re.MULTILINE | re.UNICODE + + builtin_kernel = words(( + '-rot', '2bi', '2bi@', '2bi*', '2curry', '2dip', '2drop', '2dup', '2keep', '2nip', + '2over', '2tri', '2tri@', '2tri*', '3bi', '3curry', '3dip', '3drop', '3dup', '3keep', + '3tri', '4dip', '4drop', '4dup', '4keep', '', '=', '>boolean', 'clone', + '?', '?execute', '?if', 'and', 'assert', 'assert=', 'assert?', 'bi', 'bi-curry', + 'bi-curry@', 'bi-curry*', 'bi@', 'bi*', 'boa', 'boolean', 'boolean?', 'both?', + 'build', 'call', 'callstack', 'callstack>array', 'callstack?', 'clear', '(clone)', + 'compose', 'compose?', 'curry', 'curry?', 'datastack', 'die', 'dip', 'do', 'drop', + 'dup', 'dupd', 'either?', 'eq?', 'equal?', 'execute', 'hashcode', 'hashcode*', + 'identity-hashcode', 'identity-tuple', 'identity-tuple?', 'if', 'if*', + 'keep', 'loop', 'most', 'new', 'nip', 'not', 'null', 'object', 'or', 'over', + 'pick', 'prepose', 'retainstack', 'rot', 'same?', 'swap', 'swapd', 'throw', + 'tri', 'tri-curry', 'tri-curry@', 'tri-curry*', 'tri@', 'tri*', 'tuple', + 'tuple?', 'unless', 'unless*', 'until', 'when', 'when*', 'while', 'with', + 'wrapper', 'wrapper?', 'xor'), suffix=r'\s') + + builtin_assocs = words(( + '2cache', '', '>alist', '?at', '?of', 'assoc', 'assoc-all?', + 'assoc-any?', 'assoc-clone-like', 'assoc-combine', 'assoc-diff', + 'assoc-diff!', 'assoc-differ', 'assoc-each', 'assoc-empty?', + 'assoc-filter', 'assoc-filter!', 'assoc-filter-as', 'assoc-find', + 'assoc-hashcode', 'assoc-intersect', 'assoc-like', 'assoc-map', + 'assoc-map-as', 'assoc-partition', 'assoc-refine', 'assoc-size', + 'assoc-stack', 'assoc-subset?', 'assoc-union', 'assoc-union!', + 'assoc=', 'assoc>map', 'assoc?', 'at', 'at+', 'at*', 'cache', 'change-at', + 'clear-assoc', 'delete-at', 'delete-at*', 'enum', 'enum?', 'extract-keys', + 'inc-at', 'key?', 'keys', 'map>assoc', 'maybe-set-at', 'new-assoc', 'of', + 'push-at', 'rename-at', 'set-at', 'sift-keys', 'sift-values', 'substitute', + 'unzip', 'value-at', 'value-at*', 'value?', 'values', 'zip'), suffix=r'\s') + + builtin_combinators = words(( + '2cleave', '2cleave>quot', '3cleave', '3cleave>quot', '4cleave', + '4cleave>quot', 'alist>quot', 'call-effect', 'case', 'case-find', + 'case>quot', 'cleave', 'cleave>quot', 'cond', 'cond>quot', 'deep-spread>quot', + 'execute-effect', 'linear-case-quot', 'no-case', 'no-case?', 'no-cond', + 'no-cond?', 'recursive-hashcode', 'shallow-spread>quot', 'spread', + 'to-fixed-point', 'wrong-values', 'wrong-values?'), suffix=r'\s') + + builtin_math = words(( + '-', '/', '/f', '/i', '/mod', '2/', '2^', '<', '<=', '', '>', + '>=', '>bignum', '>fixnum', '>float', '>integer', '(all-integers?)', + '(each-integer)', '(find-integer)', '*', '+', '?1+', + 'abs', 'align', 'all-integers?', 'bignum', 'bignum?', 'bit?', 'bitand', + 'bitnot', 'bitor', 'bits>double', 'bits>float', 'bitxor', 'complex', + 'complex?', 'denominator', 'double>bits', 'each-integer', 'even?', + 'find-integer', 'find-last-integer', 'fixnum', 'fixnum?', 'float', + 'float>bits', 'float?', 'fp-bitwise=', 'fp-infinity?', 'fp-nan-payload', + 'fp-nan?', 'fp-qnan?', 'fp-sign', 'fp-snan?', 'fp-special?', + 'if-zero', 'imaginary-part', 'integer', 'integer>fixnum', + 'integer>fixnum-strict', 'integer?', 'log2', 'log2-expects-positive', + 'log2-expects-positive?', 'mod', 'neg', 'neg?', 'next-float', + 'next-power-of-2', 'number', 'number=', 'number?', 'numerator', 'odd?', + 'out-of-fixnum-range', 'out-of-fixnum-range?', 'power-of-2?', + 'prev-float', 'ratio', 'ratio?', 'rational', 'rational?', 'real', + 'real-part', 'real?', 'recip', 'rem', 'sgn', 'shift', 'sq', 'times', + 'u<', 'u<=', 'u>', 'u>=', 'unless-zero', 'unordered?', 'when-zero', + 'zero?'), suffix=r'\s') + + builtin_sequences = words(( + '1sequence', '2all?', '2each', '2map', '2map-as', '2map-reduce', '2reduce', + '2selector', '2sequence', '3append', '3append-as', '3each', '3map', '3map-as', + '3sequence', '4sequence', '', '', '', '?first', + '?last', '?nth', '?second', '?set-nth', 'accumulate', 'accumulate!', + 'accumulate-as', 'all?', 'any?', 'append', 'append!', 'append-as', + 'assert-sequence', 'assert-sequence=', 'assert-sequence?', + 'binary-reduce', 'bounds-check', 'bounds-check?', 'bounds-error', + 'bounds-error?', 'but-last', 'but-last-slice', 'cartesian-each', + 'cartesian-map', 'cartesian-product', 'change-nth', 'check-slice', + 'check-slice-error', 'clone-like', 'collapse-slice', 'collector', + 'collector-for', 'concat', 'concat-as', 'copy', 'count', 'cut', 'cut-slice', + 'cut*', 'delete-all', 'delete-slice', 'drop-prefix', 'each', 'each-from', + 'each-index', 'empty?', 'exchange', 'filter', 'filter!', 'filter-as', 'find', + 'find-from', 'find-index', 'find-index-from', 'find-last', 'find-last-from', + 'first', 'first2', 'first3', 'first4', 'flip', 'follow', 'fourth', 'glue', 'halves', + 'harvest', 'head', 'head-slice', 'head-slice*', 'head*', 'head?', + 'if-empty', 'immutable', 'immutable-sequence', 'immutable-sequence?', + 'immutable?', 'index', 'index-from', 'indices', 'infimum', 'infimum-by', + 'insert-nth', 'interleave', 'iota', 'iota-tuple', 'iota-tuple?', 'join', + 'join-as', 'last', 'last-index', 'last-index-from', 'length', 'lengthen', + 'like', 'longer', 'longer?', 'longest', 'map', 'map!', 'map-as', 'map-find', + 'map-find-last', 'map-index', 'map-integers', 'map-reduce', 'map-sum', + 'max-length', 'member-eq?', 'member?', 'midpoint@', 'min-length', + 'mismatch', 'move', 'new-like', 'new-resizable', 'new-sequence', + 'non-negative-integer-expected', 'non-negative-integer-expected?', + 'nth', 'nths', 'pad-head', 'pad-tail', 'padding', 'partition', 'pop', 'pop*', + 'prefix', 'prepend', 'prepend-as', 'produce', 'produce-as', 'product', 'push', + 'push-all', 'push-either', 'push-if', 'reduce', 'reduce-index', 'remove', + 'remove!', 'remove-eq', 'remove-eq!', 'remove-nth', 'remove-nth!', 'repetition', + 'repetition?', 'replace-slice', 'replicate', 'replicate-as', 'rest', + 'rest-slice', 'reverse', 'reverse!', 'reversed', 'reversed?', 'second', + 'selector', 'selector-for', 'sequence', 'sequence-hashcode', 'sequence=', + 'sequence?', 'set-first', 'set-fourth', 'set-last', 'set-length', 'set-nth', + 'set-second', 'set-third', 'short', 'shorten', 'shorter', 'shorter?', + 'shortest', 'sift', 'slice', 'slice-error', 'slice-error?', 'slice?', + 'snip', 'snip-slice', 'start', 'start*', 'subseq', 'subseq?', 'suffix', + 'suffix!', 'sum', 'sum-lengths', 'supremum', 'supremum-by', 'surround', 'tail', + 'tail-slice', 'tail-slice*', 'tail*', 'tail?', 'third', 'trim', + 'trim-head', 'trim-head-slice', 'trim-slice', 'trim-tail', 'trim-tail-slice', + 'unclip', 'unclip-last', 'unclip-last-slice', 'unclip-slice', 'unless-empty', + 'virtual-exemplar', 'virtual-sequence', 'virtual-sequence?', 'virtual@', + 'when-empty'), suffix=r'\s') + + builtin_namespaces = words(( + '+@', 'change', 'change-global', 'counter', 'dec', 'get', 'get-global', + 'global', 'inc', 'init-namespaces', 'initialize', 'is-global', 'make-assoc', + 'namespace', 'namestack', 'off', 'on', 'set', 'set-global', 'set-namestack', + 'toggle', 'with-global', 'with-scope', 'with-variable', 'with-variables'), + suffix=r'\s') + + builtin_arrays = words(( + '1array', '2array', '3array', '4array', '', '>array', 'array', + 'array?', 'pair', 'pair?', 'resize-array'), suffix=r'\s') + + builtin_io = words(( + '(each-stream-block-slice)', '(each-stream-block)', + '(stream-contents-by-block)', '(stream-contents-by-element)', + '(stream-contents-by-length-or-block)', + '(stream-contents-by-length)', '+byte+', '+character+', + 'bad-seek-type', 'bad-seek-type?', 'bl', 'contents', 'each-block', + 'each-block-size', 'each-block-slice', 'each-line', 'each-morsel', + 'each-stream-block', 'each-stream-block-slice', 'each-stream-line', + 'error-stream', 'flush', 'input-stream', 'input-stream?', + 'invalid-read-buffer', 'invalid-read-buffer?', 'lines', 'nl', + 'output-stream', 'output-stream?', 'print', 'read', 'read-into', + 'read-partial', 'read-partial-into', 'read-until', 'read1', 'readln', + 'seek-absolute', 'seek-absolute?', 'seek-end', 'seek-end?', + 'seek-input', 'seek-output', 'seek-relative', 'seek-relative?', + 'stream-bl', 'stream-contents', 'stream-contents*', 'stream-copy', + 'stream-copy*', 'stream-element-type', 'stream-flush', + 'stream-length', 'stream-lines', 'stream-nl', 'stream-print', + 'stream-read', 'stream-read-into', 'stream-read-partial', + 'stream-read-partial-into', 'stream-read-partial-unsafe', + 'stream-read-unsafe', 'stream-read-until', 'stream-read1', + 'stream-readln', 'stream-seek', 'stream-seekable?', 'stream-tell', + 'stream-write', 'stream-write1', 'tell-input', 'tell-output', + 'with-error-stream', 'with-error-stream*', 'with-error>output', + 'with-input-output+error-streams', + 'with-input-output+error-streams*', 'with-input-stream', + 'with-input-stream*', 'with-output-stream', 'with-output-stream*', + 'with-output>error', 'with-output+error-stream', + 'with-output+error-stream*', 'with-streams', 'with-streams*', + 'write', 'write1'), suffix=r'\s') + + builtin_strings = words(( + '1string', '', '>string', 'resize-string', 'string', + 'string?'), suffix=r'\s') + + builtin_vectors = words(( + '1vector', '', '>vector', '?push', 'vector', 'vector?'), + suffix=r'\s') + + builtin_continuations = words(( + '', '', '', 'attempt-all', + 'attempt-all-error', 'attempt-all-error?', 'callback-error-hook', + 'callcc0', 'callcc1', 'cleanup', 'compute-restarts', 'condition', + 'condition?', 'continuation', 'continuation?', 'continue', + 'continue-restart', 'continue-with', 'current-continuation', + 'error', 'error-continuation', 'error-in-thread', 'error-thread', + 'ifcc', 'ignore-errors', 'in-callback?', 'original-error', 'recover', + 'restart', 'restart?', 'restarts', 'rethrow', 'rethrow-restarts', + 'return', 'return-continuation', 'thread-error-hook', 'throw-continue', + 'throw-restarts', 'with-datastack', 'with-return'), suffix=r'\s') + + tokens = { + 'root': [ + # factor allows a file to start with a shebang + (r'#!.*$', Comment.Preproc), + default('base'), + ], + 'base': [ + (r'\s+', Text), + + # defining words + (r'((?:MACRO|MEMO|TYPED)?:[:]?)(\s+)(\S+)', + bygroups(Keyword, Text, Name.Function)), + (r'(M:[:]?)(\s+)(\S+)(\s+)(\S+)', + bygroups(Keyword, Text, Name.Class, Text, Name.Function)), + (r'(C:)(\s+)(\S+)(\s+)(\S+)', + bygroups(Keyword, Text, Name.Function, Text, Name.Class)), + (r'(GENERIC:)(\s+)(\S+)', + bygroups(Keyword, Text, Name.Function)), + (r'(HOOK:|GENERIC#)(\s+)(\S+)(\s+)(\S+)', + bygroups(Keyword, Text, Name.Function, Text, Name.Function)), + (r'\(\s', Name.Function, 'stackeffect'), + (r';\s', Keyword), + + # imports and namespaces + (r'(USING:)(\s+)', + bygroups(Keyword.Namespace, Text), 'vocabs'), + (r'(USE:|UNUSE:|IN:|QUALIFIED:)(\s+)(\S+)', + bygroups(Keyword.Namespace, Text, Name.Namespace)), + (r'(QUALIFIED-WITH:)(\s+)(\S+)(\s+)(\S+)', + bygroups(Keyword.Namespace, Text, Name.Namespace, Text, Name.Namespace)), + (r'(FROM:|EXCLUDE:)(\s+)(\S+)(\s+=>\s)', + bygroups(Keyword.Namespace, Text, Name.Namespace, Text), 'words'), + (r'(RENAME:)(\s+)(\S+)(\s+)(\S+)(\s+=>\s+)(\S+)', + bygroups(Keyword.Namespace, Text, Name.Function, Text, Name.Namespace, Text, Name.Function)), + (r'(ALIAS:|TYPEDEF:)(\s+)(\S+)(\s+)(\S+)', + bygroups(Keyword.Namespace, Text, Name.Function, Text, Name.Function)), + (r'(DEFER:|FORGET:|POSTPONE:)(\s+)(\S+)', + bygroups(Keyword.Namespace, Text, Name.Function)), + + # tuples and classes + (r'(TUPLE:|ERROR:)(\s+)(\S+)(\s+<\s+)(\S+)', + bygroups(Keyword, Text, Name.Class, Text, Name.Class), 'slots'), + (r'(TUPLE:|ERROR:|BUILTIN:)(\s+)(\S+)', + bygroups(Keyword, Text, Name.Class), 'slots'), + (r'(MIXIN:|UNION:|INTERSECTION:)(\s+)(\S+)', + bygroups(Keyword, Text, Name.Class)), + (r'(PREDICATE:)(\s+)(\S+)(\s+<\s+)(\S+)', + bygroups(Keyword, Text, Name.Class, Text, Name.Class)), + (r'(C:)(\s+)(\S+)(\s+)(\S+)', + bygroups(Keyword, Text, Name.Function, Text, Name.Class)), + (r'(INSTANCE:)(\s+)(\S+)(\s+)(\S+)', + bygroups(Keyword, Text, Name.Class, Text, Name.Class)), + (r'(SLOT:)(\s+)(\S+)', bygroups(Keyword, Text, Name.Function)), + (r'(SINGLETON:)(\s+)(\S+)', bygroups(Keyword, Text, Name.Class)), + (r'SINGLETONS:', Keyword, 'classes'), + + # other syntax + (r'(CONSTANT:|SYMBOL:|MAIN:|HELP:)(\s+)(\S+)', + bygroups(Keyword, Text, Name.Function)), + (r'SYMBOLS:\s', Keyword, 'words'), + (r'SYNTAX:\s', Keyword), + (r'ALIEN:\s', Keyword), + (r'(STRUCT:)(\s+)(\S+)', bygroups(Keyword, Text, Name.Class)), + (r'(FUNCTION:)(\s+\S+\s+)(\S+)(\s+\(\s+[^)]+\)\s)', + bygroups(Keyword.Namespace, Text, Name.Function, Text)), + (r'(FUNCTION-ALIAS:)(\s+)(\S+)(\s+\S+\s+)(\S+)(\s+\(\s+[^)]+\)\s)', + bygroups(Keyword.Namespace, Text, Name.Function, Text, Name.Function, Text)), + + # vocab.private + (r'(?:)\s', Keyword.Namespace), + + # strings + (r'"""\s+(?:.|\n)*?\s+"""', String), + (r'"(?:\\\\|\\"|[^"])*"', String), + (r'\S+"\s+(?:\\\\|\\"|[^"])*"', String), + (r'CHAR:\s+(?:\\[\\abfnrstv]|[^\\]\S*)\s', String.Char), + + # comments + (r'!\s+.*$', Comment), + (r'#!\s+.*$', Comment), + (r'/\*\s+(?:.|\n)*?\s\*/\s', Comment), + + # boolean constants + (r'[tf]\s', Name.Constant), + + # symbols and literals + (r'[\\$]\s+\S+', Name.Constant), + (r'M\\\s+\S+\s+\S+', Name.Constant), + + # numbers + (r'[+-]?(?:[\d,]*\d)?\.(?:\d([\d,]*\d)?)?(?:[eE][+-]?\d+)?\s', Number), + (r'[+-]?\d(?:[\d,]*\d)?(?:[eE][+-]?\d+)?\s', Number), + (r'0x[a-fA-F\d](?:[a-fA-F\d,]*[a-fA-F\d])?(?:p\d([\d,]*\d)?)?\s', Number), + (r'NAN:\s+[a-fA-F\d](?:[a-fA-F\d,]*[a-fA-F\d])?(?:p\d([\d,]*\d)?)?\s', Number), + (r'0b[01]+\s', Number.Bin), + (r'0o[0-7]+\s', Number.Oct), + (r'(?:\d([\d,]*\d)?)?\+\d(?:[\d,]*\d)?/\d(?:[\d,]*\d)?\s', Number), + (r'(?:\-\d([\d,]*\d)?)?\-\d(?:[\d,]*\d)?/\d(?:[\d,]*\d)?\s', Number), + + # keywords + (r'(?:deprecated|final|foldable|flushable|inline|recursive)\s', + Keyword), + + # builtins + (builtin_kernel, Name.Builtin), + (builtin_assocs, Name.Builtin), + (builtin_combinators, Name.Builtin), + (builtin_math, Name.Builtin), + (builtin_sequences, Name.Builtin), + (builtin_namespaces, Name.Builtin), + (builtin_arrays, Name.Builtin), + (builtin_io, Name.Builtin), + (builtin_strings, Name.Builtin), + (builtin_vectors, Name.Builtin), + (builtin_continuations, Name.Builtin), + + # everything else is text + (r'\S+', Text), + ], + 'stackeffect': [ + (r'\s+', Text), + (r'\(\s+', Name.Function, 'stackeffect'), + (r'\)\s', Name.Function, '#pop'), + (r'--\s', Name.Function), + (r'\S+', Name.Variable), + ], + 'slots': [ + (r'\s+', Text), + (r';\s', Keyword, '#pop'), + (r'(\{\s+)(\S+)(\s+[^}]+\s+\}\s)', + bygroups(Text, Name.Variable, Text)), + (r'\S+', Name.Variable), + ], + 'vocabs': [ + (r'\s+', Text), + (r';\s', Keyword, '#pop'), + (r'\S+', Name.Namespace), + ], + 'classes': [ + (r'\s+', Text), + (r';\s', Keyword, '#pop'), + (r'\S+', Name.Class), + ], + 'words': [ + (r'\s+', Text), + (r';\s', Keyword, '#pop'), + (r'\S+', Name.Function), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/fantom.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/fantom.py new file mode 100644 index 0000000000000000000000000000000000000000..3ea2177c7bebe7f2743a5ebca49336a3ebbbb292 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/fantom.py @@ -0,0 +1,250 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.fantom + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexer for the Fantom language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from string import Template + +from pygments.lexer import RegexLexer, include, bygroups, using, \ + this, default, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Literal + +__all__ = ['FantomLexer'] + + +class FantomLexer(RegexLexer): + """ + For Fantom source code. + + .. versionadded:: 1.5 + """ + name = 'Fantom' + aliases = ['fan'] + filenames = ['*.fan'] + mimetypes = ['application/x-fantom'] + + # often used regexes + def s(str): + return Template(str).substitute( + dict( + pod=r'[\"\w\.]+', + eos=r'\n|;', + id=r'[a-zA-Z_]\w*', + # all chars which can be part of type definition. Starts with + # either letter, or [ (maps), or | (funcs) + type=r'(?:\[|[a-zA-Z_]|\|)[:\w\[\]|\->?]*?', + ) + ) + + tokens = { + 'comments': [ + (r'(?s)/\*.*?\*/', Comment.Multiline), # Multiline + (r'//.*?\n', Comment.Single), # Single line + # TODO: highlight references in fandocs + (r'\*\*.*?\n', Comment.Special), # Fandoc + (r'#.*\n', Comment.Single) # Shell-style + ], + 'literals': [ + (r'\b-?[\d_]+(ns|ms|sec|min|hr|day)', Number), # Duration + (r'\b-?[\d_]*\.[\d_]+(ns|ms|sec|min|hr|day)', Number), # Duration with dot + (r'\b-?(\d+)?\.\d+(f|F|d|D)?', Number.Float), # Float/Decimal + (r'\b-?0x[0-9a-fA-F_]+', Number.Hex), # Hex + (r'\b-?[\d_]+', Number.Integer), # Int + (r"'\\.'|'[^\\]'|'\\u[0-9a-f]{4}'", String.Char), # Char + (r'"', Punctuation, 'insideStr'), # Opening quote + (r'`', Punctuation, 'insideUri'), # Opening accent + (r'\b(true|false|null)\b', Keyword.Constant), # Bool & null + (r'(?:(\w+)(::))?(\w+)(<\|)(.*?)(\|>)', # DSL + bygroups(Name.Namespace, Punctuation, Name.Class, + Punctuation, String, Punctuation)), + (r'(?:(\w+)(::))?(\w+)?(#)(\w+)?', # Type/slot literal + bygroups(Name.Namespace, Punctuation, Name.Class, + Punctuation, Name.Function)), + (r'\[,\]', Literal), # Empty list + (s(r'($type)(\[,\])'), # Typed empty list + bygroups(using(this, state='inType'), Literal)), + (r'\[:\]', Literal), # Empty Map + (s(r'($type)(\[:\])'), + bygroups(using(this, state='inType'), Literal)), + ], + 'insideStr': [ + (r'\\\\', String.Escape), # Escaped backslash + (r'\\"', String.Escape), # Escaped " + (r'\\`', String.Escape), # Escaped ` + (r'\$\w+', String.Interpol), # Subst var + (r'\$\{.*?\}', String.Interpol), # Subst expr + (r'"', Punctuation, '#pop'), # Closing quot + (r'.', String) # String content + ], + 'insideUri': [ # TODO: remove copy/paste str/uri + (r'\\\\', String.Escape), # Escaped backslash + (r'\\"', String.Escape), # Escaped " + (r'\\`', String.Escape), # Escaped ` + (r'\$\w+', String.Interpol), # Subst var + (r'\$\{.*?\}', String.Interpol), # Subst expr + (r'`', Punctuation, '#pop'), # Closing tick + (r'.', String.Backtick) # URI content + ], + 'protectionKeywords': [ + (r'\b(public|protected|private|internal)\b', Keyword), + ], + 'typeKeywords': [ + (r'\b(abstract|final|const|native|facet|enum)\b', Keyword), + ], + 'methodKeywords': [ + (r'\b(abstract|native|once|override|static|virtual|final)\b', + Keyword), + ], + 'fieldKeywords': [ + (r'\b(abstract|const|final|native|override|static|virtual|' + r'readonly)\b', Keyword) + ], + 'otherKeywords': [ + (words(( + 'try', 'catch', 'throw', 'finally', 'for', 'if', 'else', 'while', + 'as', 'is', 'isnot', 'switch', 'case', 'default', 'continue', + 'break', 'do', 'return', 'get', 'set'), prefix=r'\b', suffix=r'\b'), + Keyword), + (r'\b(it|this|super)\b', Name.Builtin.Pseudo), + ], + 'operators': [ + (r'\+\+|\-\-|\+|\-|\*|/|\|\||&&|<=>|<=|<|>=|>|=|!|\[|\]', Operator) + ], + 'inType': [ + (r'[\[\]|\->:?]', Punctuation), + (s(r'$id'), Name.Class), + default('#pop'), + + ], + 'root': [ + include('comments'), + include('protectionKeywords'), + include('typeKeywords'), + include('methodKeywords'), + include('fieldKeywords'), + include('literals'), + include('otherKeywords'), + include('operators'), + (r'using\b', Keyword.Namespace, 'using'), # Using stmt + (r'@\w+', Name.Decorator, 'facet'), # Symbol + (r'(class|mixin)(\s+)(\w+)', bygroups(Keyword, Text, Name.Class), + 'inheritance'), # Inheritance list + + # Type var := val + (s(r'($type)([ \t]+)($id)(\s*)(:=)'), + bygroups(using(this, state='inType'), Text, + Name.Variable, Text, Operator)), + + # var := val + (s(r'($id)(\s*)(:=)'), + bygroups(Name.Variable, Text, Operator)), + + # .someId( or ->someId( ### + (s(r'(\.|(?:\->))($id)(\s*)(\()'), + bygroups(Operator, Name.Function, Text, Punctuation), + 'insideParen'), + + # .someId or ->someId + (s(r'(\.|(?:\->))($id)'), + bygroups(Operator, Name.Function)), + + # new makeXXX ( + (r'(new)(\s+)(make\w*)(\s*)(\()', + bygroups(Keyword, Text, Name.Function, Text, Punctuation), + 'insideMethodDeclArgs'), + + # Type name ( + (s(r'($type)([ \t]+)' # Return type and whitespace + r'($id)(\s*)(\()'), # method name + open brace + bygroups(using(this, state='inType'), Text, + Name.Function, Text, Punctuation), + 'insideMethodDeclArgs'), + + # ArgType argName, + (s(r'($type)(\s+)($id)(\s*)(,)'), + bygroups(using(this, state='inType'), Text, Name.Variable, + Text, Punctuation)), + + # ArgType argName) + # Covered in 'insideParen' state + + # ArgType argName -> ArgType| + (s(r'($type)(\s+)($id)(\s*)(\->)(\s*)($type)(\|)'), + bygroups(using(this, state='inType'), Text, Name.Variable, + Text, Punctuation, Text, using(this, state='inType'), + Punctuation)), + + # ArgType argName| + (s(r'($type)(\s+)($id)(\s*)(\|)'), + bygroups(using(this, state='inType'), Text, Name.Variable, + Text, Punctuation)), + + # Type var + (s(r'($type)([ \t]+)($id)'), + bygroups(using(this, state='inType'), Text, + Name.Variable)), + + (r'\(', Punctuation, 'insideParen'), + (r'\{', Punctuation, 'insideBrace'), + (r'.', Text) + ], + 'insideParen': [ + (r'\)', Punctuation, '#pop'), + include('root'), + ], + 'insideMethodDeclArgs': [ + (r'\)', Punctuation, '#pop'), + (s(r'($type)(\s+)($id)(\s*)(\))'), + bygroups(using(this, state='inType'), Text, Name.Variable, + Text, Punctuation), '#pop'), + include('root'), + ], + 'insideBrace': [ + (r'\}', Punctuation, '#pop'), + include('root'), + ], + 'inheritance': [ + (r'\s+', Text), # Whitespace + (r':|,', Punctuation), + (r'(?:(\w+)(::))?(\w+)', + bygroups(Name.Namespace, Punctuation, Name.Class)), + (r'\{', Punctuation, '#pop') + ], + 'using': [ + (r'[ \t]+', Text), # consume whitespaces + (r'(\[)(\w+)(\])', + bygroups(Punctuation, Comment.Special, Punctuation)), # ffi + (r'(\")?([\w.]+)(\")?', + bygroups(Punctuation, Name.Namespace, Punctuation)), # podname + (r'::', Punctuation, 'usingClass'), + default('#pop') + ], + 'usingClass': [ + (r'[ \t]+', Text), # consume whitespaces + (r'(as)(\s+)(\w+)', + bygroups(Keyword.Declaration, Text, Name.Class), '#pop:2'), + (r'[\w$]+', Name.Class), + default('#pop:2') # jump out to root state + ], + 'facet': [ + (r'\s+', Text), + (r'\{', Punctuation, 'facetFields'), + default('#pop') + ], + 'facetFields': [ + include('comments'), + include('literals'), + include('operators'), + (r'\s+', Text), + (r'(\s*)(\w+)(\s*)(=)', bygroups(Text, Name, Text, Operator)), + (r'\}', Punctuation, '#pop'), + (r'.', Text) + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/felix.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/felix.py new file mode 100644 index 0000000000000000000000000000000000000000..8f0695b5cc6be7706cd68e19d4da7bb18b32019e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/felix.py @@ -0,0 +1,273 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.felix + ~~~~~~~~~~~~~~~~~~~~~ + + Lexer for the Felix language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, include, bygroups, default, words, \ + combined +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation + +__all__ = ['FelixLexer'] + + +class FelixLexer(RegexLexer): + """ + For `Felix `_ source code. + + .. versionadded:: 1.2 + """ + + name = 'Felix' + aliases = ['felix', 'flx'] + filenames = ['*.flx', '*.flxh'] + mimetypes = ['text/x-felix'] + + preproc = ( + 'elif', 'else', 'endif', 'if', 'ifdef', 'ifndef', + ) + + keywords = ( + '_', '_deref', 'all', 'as', + 'assert', 'attempt', 'call', 'callback', 'case', 'caseno', 'cclass', + 'code', 'compound', 'ctypes', 'do', 'done', 'downto', 'elif', 'else', + 'endattempt', 'endcase', 'endif', 'endmatch', 'enum', 'except', + 'exceptions', 'expect', 'finally', 'for', 'forall', 'forget', 'fork', + 'functor', 'goto', 'ident', 'if', 'incomplete', 'inherit', 'instance', + 'interface', 'jump', 'lambda', 'loop', 'match', 'module', 'namespace', + 'new', 'noexpand', 'nonterm', 'obj', 'of', 'open', 'parse', 'raise', + 'regexp', 'reglex', 'regmatch', 'rename', 'return', 'the', 'then', + 'to', 'type', 'typecase', 'typedef', 'typematch', 'typeof', 'upto', + 'when', 'whilst', 'with', 'yield', + ) + + keyword_directives = ( + '_gc_pointer', '_gc_type', 'body', 'comment', 'const', 'export', + 'header', 'inline', 'lval', 'macro', 'noinline', 'noreturn', + 'package', 'private', 'pod', 'property', 'public', 'publish', + 'requires', 'todo', 'virtual', 'use', + ) + + keyword_declarations = ( + 'def', 'let', 'ref', 'val', 'var', + ) + + keyword_types = ( + 'unit', 'void', 'any', 'bool', + 'byte', 'offset', + 'address', 'caddress', 'cvaddress', 'vaddress', + 'tiny', 'short', 'int', 'long', 'vlong', + 'utiny', 'ushort', 'vshort', 'uint', 'ulong', 'uvlong', + 'int8', 'int16', 'int32', 'int64', + 'uint8', 'uint16', 'uint32', 'uint64', + 'float', 'double', 'ldouble', + 'complex', 'dcomplex', 'lcomplex', + 'imaginary', 'dimaginary', 'limaginary', + 'char', 'wchar', 'uchar', + 'charp', 'charcp', 'ucharp', 'ucharcp', + 'string', 'wstring', 'ustring', + 'cont', + 'array', 'varray', 'list', + 'lvalue', 'opt', 'slice', + ) + + keyword_constants = ( + 'false', 'true', + ) + + operator_words = ( + 'and', 'not', 'in', 'is', 'isin', 'or', 'xor', + ) + + name_builtins = ( + '_svc', 'while', + ) + + name_pseudo = ( + 'root', 'self', 'this', + ) + + decimal_suffixes = '([tTsSiIlLvV]|ll|LL|([iIuU])(8|16|32|64))?' + + tokens = { + 'root': [ + include('whitespace'), + + # Keywords + (words(('axiom', 'ctor', 'fun', 'gen', 'proc', 'reduce', + 'union'), suffix=r'\b'), + Keyword, 'funcname'), + (words(('class', 'cclass', 'cstruct', 'obj', 'struct'), suffix=r'\b'), + Keyword, 'classname'), + (r'(instance|module|typeclass)\b', Keyword, 'modulename'), + + (words(keywords, suffix=r'\b'), Keyword), + (words(keyword_directives, suffix=r'\b'), Name.Decorator), + (words(keyword_declarations, suffix=r'\b'), Keyword.Declaration), + (words(keyword_types, suffix=r'\b'), Keyword.Type), + (words(keyword_constants, suffix=r'\b'), Keyword.Constant), + + # Operators + include('operators'), + + # Float Literal + # -- Hex Float + (r'0[xX]([0-9a-fA-F_]*\.[0-9a-fA-F_]+|[0-9a-fA-F_]+)' + r'[pP][+\-]?[0-9_]+[lLfFdD]?', Number.Float), + # -- DecimalFloat + (r'[0-9_]+(\.[0-9_]+[eE][+\-]?[0-9_]+|' + r'\.[0-9_]*|[eE][+\-]?[0-9_]+)[lLfFdD]?', Number.Float), + (r'\.(0|[1-9][0-9_]*)([eE][+\-]?[0-9_]+)?[lLfFdD]?', + Number.Float), + + # IntegerLiteral + # -- Binary + (r'0[Bb][01_]+%s' % decimal_suffixes, Number.Bin), + # -- Octal + (r'0[0-7_]+%s' % decimal_suffixes, Number.Oct), + # -- Hexadecimal + (r'0[xX][0-9a-fA-F_]+%s' % decimal_suffixes, Number.Hex), + # -- Decimal + (r'(0|[1-9][0-9_]*)%s' % decimal_suffixes, Number.Integer), + + # Strings + ('([rR][cC]?|[cC][rR])"""', String, 'tdqs'), + ("([rR][cC]?|[cC][rR])'''", String, 'tsqs'), + ('([rR][cC]?|[cC][rR])"', String, 'dqs'), + ("([rR][cC]?|[cC][rR])'", String, 'sqs'), + ('[cCfFqQwWuU]?"""', String, combined('stringescape', 'tdqs')), + ("[cCfFqQwWuU]?'''", String, combined('stringescape', 'tsqs')), + ('[cCfFqQwWuU]?"', String, combined('stringescape', 'dqs')), + ("[cCfFqQwWuU]?'", String, combined('stringescape', 'sqs')), + + # Punctuation + (r'[\[\]{}:(),;?]', Punctuation), + + # Labels + (r'[a-zA-Z_]\w*:>', Name.Label), + + # Identifiers + (r'(%s)\b' % '|'.join(name_builtins), Name.Builtin), + (r'(%s)\b' % '|'.join(name_pseudo), Name.Builtin.Pseudo), + (r'[a-zA-Z_]\w*', Name), + ], + 'whitespace': [ + (r'\n', Text), + (r'\s+', Text), + + include('comment'), + + # Preprocessor + (r'#\s*if\s+0', Comment.Preproc, 'if0'), + (r'#', Comment.Preproc, 'macro'), + ], + 'operators': [ + (r'(%s)\b' % '|'.join(operator_words), Operator.Word), + (r'!=|==|<<|>>|\|\||&&|[-~+/*%=<>&^|.$]', Operator), + ], + 'comment': [ + (r'//(.*?)\n', Comment.Single), + (r'/[*]', Comment.Multiline, 'comment2'), + ], + 'comment2': [ + (r'[^/*]', Comment.Multiline), + (r'/[*]', Comment.Multiline, '#push'), + (r'[*]/', Comment.Multiline, '#pop'), + (r'[/*]', Comment.Multiline), + ], + 'if0': [ + (r'^\s*#if.*?(?]*?>)', + bygroups(Comment.Preproc, Text, String), '#pop'), + (r'(import|include)(\s+)("[^"]*?")', + bygroups(Comment.Preproc, Text, String), '#pop'), + (r"(import|include)(\s+)('[^']*?')", + bygroups(Comment.Preproc, Text, String), '#pop'), + (r'[^/\n]+', Comment.Preproc), + # (r'/[*](.|\n)*?[*]/', Comment), + # (r'//.*?\n', Comment, '#pop'), + (r'/', Comment.Preproc), + (r'(?<=\\)\n', Comment.Preproc), + (r'\n', Comment.Preproc, '#pop'), + ], + 'funcname': [ + include('whitespace'), + (r'[a-zA-Z_]\w*', Name.Function, '#pop'), + # anonymous functions + (r'(?=\()', Text, '#pop'), + ], + 'classname': [ + include('whitespace'), + (r'[a-zA-Z_]\w*', Name.Class, '#pop'), + # anonymous classes + (r'(?=\{)', Text, '#pop'), + ], + 'modulename': [ + include('whitespace'), + (r'\[', Punctuation, ('modulename2', 'tvarlist')), + default('modulename2'), + ], + 'modulename2': [ + include('whitespace'), + (r'([a-zA-Z_]\w*)', Name.Namespace, '#pop:2'), + ], + 'tvarlist': [ + include('whitespace'), + include('operators'), + (r'\[', Punctuation, '#push'), + (r'\]', Punctuation, '#pop'), + (r',', Punctuation), + (r'(with|where)\b', Keyword), + (r'[a-zA-Z_]\w*', Name), + ], + 'stringescape': [ + (r'\\([\\abfnrtv"\']|\n|N\{.*?\}|u[a-fA-F0-9]{4}|' + r'U[a-fA-F0-9]{8}|x[a-fA-F0-9]{2}|[0-7]{1,3})', String.Escape) + ], + 'strings': [ + (r'%(\([a-zA-Z0-9]+\))?[-#0 +]*([0-9]+|[*])?(\.([0-9]+|[*]))?' + '[hlL]?[E-GXc-giorsux%]', String.Interpol), + (r'[^\\\'"%\n]+', String), + # quotes, percents and backslashes must be parsed one at a time + (r'[\'"\\]', String), + # unhandled string formatting sign + (r'%', String) + # newlines are an error (use "nl" state) + ], + 'nl': [ + (r'\n', String) + ], + 'dqs': [ + (r'"', String, '#pop'), + # included here again for raw strings + (r'\\\\|\\"|\\\n', String.Escape), + include('strings') + ], + 'sqs': [ + (r"'", String, '#pop'), + # included here again for raw strings + (r"\\\\|\\'|\\\n", String.Escape), + include('strings') + ], + 'tdqs': [ + (r'"""', String, '#pop'), + include('strings'), + include('nl') + ], + 'tsqs': [ + (r"'''", String, '#pop'), + include('strings'), + include('nl') + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/forth.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/forth.py new file mode 100644 index 0000000000000000000000000000000000000000..a51f1b57e5f012a0e1da8bd28d2dba0260e15bb1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/forth.py @@ -0,0 +1,177 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.forth + ~~~~~~~~~~~~~~~~~~~~~ + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups +from pygments.token import Error, Punctuation, Literal, Token, \ + Text, Comment, Operator, Keyword, Name, String, Number, Generic + + +__all__ = ['ForthLexer'] + + +class ForthLexer(RegexLexer): + """ + Lexer for Forth files. + + .. versionadded:: 2.2 + """ + name = 'Forth' + aliases = ['forth'] + filenames = ['*.frt', '*.fs'] + mimetypes = ['application/x-forth'] + + delimiter = r'\s' + delimiter_end = r'(?=[%s])' % delimiter + + valid_name_chars = r'[^%s]' % delimiter + valid_name = r"%s+%s" % (valid_name_chars, delimiter_end) + + flags = re.IGNORECASE | re.MULTILINE + + tokens = { + 'root': [ + (r'\s+', Text), + # All comment types + (r'\\.*?\n', Comment.Single), + (r'\([\s].*?\)', Comment.Single), + # defining words. The next word is a new command name + (r'(:|variable|constant|value|buffer:)(\s+)', + bygroups(Keyword.Namespace, Text), 'worddef'), + # strings are rather simple + (r'([.sc]")(\s+?)', bygroups(String, Text), 'stringdef'), + # keywords from the various wordsets + # *** Wordset BLOCK + (r'(blk|block|buffer|evaluate|flush|load|save-buffers|update|' + # *** Wordset BLOCK-EXT + r'empty-buffers|list|refill|scr|thru|' + # *** Wordset CORE + r'\#s|\*\/mod|\+loop|\/mod|0<|0=|1\+|1-|2!|' + r'2\*|2\/|2@|2drop|2dup|2over|2swap|>body|' + r'>in|>number|>r|\?dup|abort|abort\"|abs|' + r'accept|align|aligned|allot|and|base|begin|' + r'bl|c!|c,|c@|cell\+|cells|char|char\+|' + r'chars|constant|count|cr|create|decimal|' + r'depth|do|does>|drop|dup|else|emit|environment\?|' + r'evaluate|execute|exit|fill|find|fm\/mod|' + r'here|hold|i|if|immediate|invert|j|key|' + r'leave|literal|loop|lshift|m\*|max|min|' + r'mod|move|negate|or|over|postpone|quit|' + r'r>|r@|recurse|repeat|rot|rshift|s\"|s>d|' + r'sign|sm\/rem|source|space|spaces|state|swap|' + r'then|type|u\.|u\<|um\*|um\/mod|unloop|until|' + r'variable|while|word|xor|\[char\]|\[\'\]|' + r'@|!|\#|<\#|\#>|:|;|\+|-|\*|\/|,|<|>|\|1\+|1-|\.|' + # *** Wordset CORE-EXT + r'\.r|0<>|' + r'0>|2>r|2r>|2r@|:noname|\?do|again|c\"|' + r'case|compile,|endcase|endof|erase|false|' + r'hex|marker|nip|of|pad|parse|pick|refill|' + r'restore-input|roll|save-input|source-id|to|' + r'true|tuck|u\.r|u>|unused|value|within|' + r'\[compile\]|' + # *** Wordset CORE-EXT-obsolescent + r'\#tib|convert|expect|query|span|' + r'tib|' + # *** Wordset DOUBLE + r'2constant|2literal|2variable|d\+|d-|' + r'd\.|d\.r|d0<|d0=|d2\*|d2\/|d<|d=|d>s|' + r'dabs|dmax|dmin|dnegate|m\*\/|m\+|' + # *** Wordset DOUBLE-EXT + r'2rot|du<|' + # *** Wordset EXCEPTION + r'catch|throw|' + # *** Wordset EXCEPTION-EXT + r'abort|abort\"|' + # *** Wordset FACILITY + r'at-xy|key\?|page|' + # *** Wordset FACILITY-EXT + r'ekey|ekey>char|ekey\?|emit\?|ms|time&date|' + # *** Wordset FILE + r'BIN|CLOSE-FILE|CREATE-FILE|DELETE-FILE|FILE-POSITION|' + r'FILE-SIZE|INCLUDE-FILE|INCLUDED|OPEN-FILE|R\/O|' + r'R\/W|READ-FILE|READ-LINE|REPOSITION-FILE|RESIZE-FILE|' + r'S\"|SOURCE-ID|W/O|WRITE-FILE|WRITE-LINE|' + # *** Wordset FILE-EXT + r'FILE-STATUS|FLUSH-FILE|REFILL|RENAME-FILE|' + # *** Wordset FLOAT + r'>float|d>f|' + r'f!|f\*|f\+|f-|f\/|f0<|f0=|f<|f>d|f@|' + r'falign|faligned|fconstant|fdepth|fdrop|fdup|' + r'fliteral|float\+|floats|floor|fmax|fmin|' + r'fnegate|fover|frot|fround|fswap|fvariable|' + r'represent|' + # *** Wordset FLOAT-EXT + r'df!|df@|dfalign|dfaligned|dfloat\+|' + r'dfloats|f\*\*|f\.|fabs|facos|facosh|falog|' + r'fasin|fasinh|fatan|fatan2|fatanh|fcos|fcosh|' + r'fe\.|fexp|fexpm1|fln|flnp1|flog|fs\.|fsin|' + r'fsincos|fsinh|fsqrt|ftan|ftanh|f~|precision|' + r'set-precision|sf!|sf@|sfalign|sfaligned|sfloat\+|' + r'sfloats|' + # *** Wordset LOCAL + r'\(local\)|to|' + # *** Wordset LOCAL-EXT + r'locals\||' + # *** Wordset MEMORY + r'allocate|free|resize|' + # *** Wordset SEARCH + r'definitions|find|forth-wordlist|get-current|' + r'get-order|search-wordlist|set-current|set-order|' + r'wordlist|' + # *** Wordset SEARCH-EXT + r'also|forth|only|order|previous|' + # *** Wordset STRING + r'-trailing|\/string|blank|cmove|cmove>|compare|' + r'search|sliteral|' + # *** Wordset TOOLS + r'.s|dump|see|words|' + # *** Wordset TOOLS-EXT + r';code|' + r'ahead|assembler|bye|code|cs-pick|cs-roll|' + r'editor|state|\[else\]|\[if\]|\[then\]|' + # *** Wordset TOOLS-EXT-obsolescent + r'forget|' + # Forth 2012 + r'defer|defer@|defer!|action-of|begin-structure|field:|buffer:|' + r'parse-name|buffer:|traverse-wordlist|n>r|nr>|2value|fvalue|' + r'name>interpret|name>compile|name>string|' + r'cfield:|end-structure)'+delimiter, Keyword), + + # Numbers + (r'(\$[0-9A-F]+)', Number.Hex), + (r'(\#|%|&|\-|\+)?[0-9]+', Number.Integer), + (r'(\#|%|&|\-|\+)?[0-9.]+', Keyword.Type), + # amforth specific + (r'(@i|!i|@e|!e|pause|noop|turnkey|sleep|' + r'itype|icompare|sp@|sp!|rp@|rp!|up@|up!|' + r'>a|a>|a@|a!|a@+|a@-|>b|b>|b@|b!|b@+|b@-|' + r'find-name|1ms|' + r'sp0|rp0|\(evaluate\)|int-trap|int!)' + delimiter, + Name.Constant), + # a proposal + (r'(do-recognizer|r:fail|recognizer:|get-recognizers|' + r'set-recognizers|r:float|r>comp|r>int|r>post|' + r'r:name|r:word|r:dnum|r:num|recognizer|forth-recognizer|' + r'rec:num|rec:float|rec:word)' + delimiter, Name.Decorator), + # defining words. The next word is a new command name + (r'(Evalue|Rvalue|Uvalue|Edefer|Rdefer|Udefer)(\s+)', + bygroups(Keyword.Namespace, Text), 'worddef'), + + (valid_name, Name.Function), # Anything else is executed + + ], + 'worddef': [ + (r'\S+', Name.Class, '#pop'), + ], + 'stringdef': [ + (r'[^"]+', String, '#pop'), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/fortran.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/fortran.py new file mode 100644 index 0000000000000000000000000000000000000000..1a611c9dc21104b0043c6fcd9d10f89a6dba35fb --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/fortran.py @@ -0,0 +1,205 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.fortran + ~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Fortran languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, bygroups, include, words, using, default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Generic + +__all__ = ['FortranLexer', 'FortranFixedLexer'] + + +class FortranLexer(RegexLexer): + """ + Lexer for FORTRAN 90 code. + + .. versionadded:: 0.10 + """ + name = 'Fortran' + aliases = ['fortran'] + filenames = ['*.f03', '*.f90', '*.F03', '*.F90'] + mimetypes = ['text/x-fortran'] + flags = re.IGNORECASE | re.MULTILINE + + # Data Types: INTEGER, REAL, COMPLEX, LOGICAL, CHARACTER and DOUBLE PRECISION + # Operators: **, *, +, -, /, <, >, <=, >=, ==, /= + # Logical (?): NOT, AND, OR, EQV, NEQV + + # Builtins: + # http://gcc.gnu.org/onlinedocs/gcc-3.4.6/g77/Table-of-Intrinsic-Functions.html + + tokens = { + 'root': [ + (r'^#.*\n', Comment.Preproc), + (r'!.*\n', Comment), + include('strings'), + include('core'), + (r'[a-z][\w$]*', Name), + include('nums'), + (r'[\s]+', Text), + ], + 'core': [ + # Statements + (words(( + 'ABSTRACT', 'ACCEPT', 'ALL', 'ALLSTOP', 'ALLOCATABLE', 'ALLOCATE', + 'ARRAY', 'ASSIGN', 'ASSOCIATE', 'ASYNCHRONOUS', 'BACKSPACE', 'BIND', + 'BLOCK', 'BLOCKDATA', 'BYTE', 'CALL', 'CASE', 'CLASS', 'CLOSE', + 'CODIMENSION', 'COMMON', 'CONCURRRENT', 'CONTIGUOUS', 'CONTAINS', + 'CONTINUE', 'CRITICAL', 'CYCLE', 'DATA', 'DEALLOCATE', 'DECODE', + 'DEFERRED', 'DIMENSION', 'DO', 'ELEMENTAL', 'ELSE', 'ENCODE', 'END', + 'ENTRY', 'ENUM', 'ENUMERATOR', 'EQUIVALENCE', 'EXIT', 'EXTENDS', + 'EXTERNAL', 'EXTRINSIC', 'FILE', 'FINAL', 'FORALL', 'FORMAT', + 'FUNCTION', 'GENERIC', 'GOTO', 'IF', 'IMAGES', 'IMPLICIT', + 'IMPORT', 'IMPURE', 'INCLUDE', 'INQUIRE', 'INTENT', 'INTERFACE', + 'INTRINSIC', 'IS', 'LOCK', 'MEMORY', 'MODULE', 'NAMELIST', 'NULLIFY', + 'NONE', 'NON_INTRINSIC', 'NON_OVERRIDABLE', 'NOPASS', 'OPEN', 'OPTIONAL', + 'OPTIONS', 'PARAMETER', 'PASS', 'PAUSE', 'POINTER', 'PRINT', 'PRIVATE', + 'PROGRAM', 'PROCEDURE', 'PROTECTED', 'PUBLIC', 'PURE', 'READ', + 'RECURSIVE', 'RESULT', 'RETURN', 'REWIND', 'SAVE', 'SELECT', 'SEQUENCE', + 'STOP', 'SUBMODULE', 'SUBROUTINE', 'SYNC', 'SYNCALL', 'SYNCIMAGES', + 'SYNCMEMORY', 'TARGET', 'THEN', 'TYPE', 'UNLOCK', 'USE', 'VALUE', + 'VOLATILE', 'WHERE', 'WRITE', 'WHILE'), prefix=r'\b', suffix=r'\s*\b'), + Keyword), + + # Data Types + (words(( + 'CHARACTER', 'COMPLEX', 'DOUBLE PRECISION', 'DOUBLE COMPLEX', 'INTEGER', + 'LOGICAL', 'REAL', 'C_INT', 'C_SHORT', 'C_LONG', 'C_LONG_LONG', + 'C_SIGNED_CHAR', 'C_SIZE_T', 'C_INT8_T', 'C_INT16_T', 'C_INT32_T', + 'C_INT64_T', 'C_INT_LEAST8_T', 'C_INT_LEAST16_T', 'C_INT_LEAST32_T', + 'C_INT_LEAST64_T', 'C_INT_FAST8_T', 'C_INT_FAST16_T', 'C_INT_FAST32_T', + 'C_INT_FAST64_T', 'C_INTMAX_T', 'C_INTPTR_T', 'C_FLOAT', 'C_DOUBLE', + 'C_LONG_DOUBLE', 'C_FLOAT_COMPLEX', 'C_DOUBLE_COMPLEX', + 'C_LONG_DOUBLE_COMPLEX', 'C_BOOL', 'C_CHAR', 'C_PTR', 'C_FUNPTR'), + prefix=r'\b', suffix=r'\s*\b'), + Keyword.Type), + + # Operators + (r'(\*\*|\*|\+|-|\/|<|>|<=|>=|==|\/=|=)', Operator), + + (r'(::)', Keyword.Declaration), + + (r'[()\[\],:&%;.]', Punctuation), + # Intrinsics + (words(( + 'Abort', 'Abs', 'Access', 'AChar', 'ACos', 'ACosH', 'AdjustL', + 'AdjustR', 'AImag', 'AInt', 'Alarm', 'All', 'Allocated', 'ALog', + 'AMax', 'AMin', 'AMod', 'And', 'ANInt', 'Any', 'ASin', 'ASinH', + 'Associated', 'ATan', 'ATanH', 'Atomic_Define', 'Atomic_Ref', + 'BesJ', 'BesJN', 'Bessel_J0', 'Bessel_J1', 'Bessel_JN', 'Bessel_Y0', + 'Bessel_Y1', 'Bessel_YN', 'BesY', 'BesYN', 'BGE', 'BGT', 'BLE', + 'BLT', 'Bit_Size', 'BTest', 'CAbs', 'CCos', 'Ceiling', 'CExp', + 'Char', 'ChDir', 'ChMod', 'CLog', 'Cmplx', 'Command_Argument_Count', + 'Complex', 'Conjg', 'Cos', 'CosH', 'Count', 'CPU_Time', 'CShift', + 'CSin', 'CSqRt', 'CTime', 'C_Loc', 'C_Associated', + 'C_Null_Ptr', 'C_Null_Funptr', 'C_F_Pointer', 'C_F_ProcPointer', + 'C_Null_Char', 'C_Alert', 'C_Backspace', 'C_Form_Feed', 'C_FunLoc', + 'C_Sizeof', 'C_New_Line', 'C_Carriage_Return', + 'C_Horizontal_Tab', 'C_Vertical_Tab', 'DAbs', 'DACos', 'DASin', + 'DATan', 'Date_and_Time', 'DbesJ', 'DbesJN', 'DbesY', + 'DbesYN', 'Dble', 'DCos', 'DCosH', 'DDiM', 'DErF', + 'DErFC', 'DExp', 'Digits', 'DiM', 'DInt', 'DLog', 'DMax', + 'DMin', 'DMod', 'DNInt', 'Dot_Product', 'DProd', 'DSign', 'DSinH', + 'DShiftL', 'DShiftR', 'DSin', 'DSqRt', 'DTanH', 'DTan', 'DTime', + 'EOShift', 'Epsilon', 'ErF', 'ErFC', 'ErFC_Scaled', 'ETime', + 'Execute_Command_Line', 'Exit', 'Exp', 'Exponent', 'Extends_Type_Of', + 'FDate', 'FGet', 'FGetC', 'FindLoc', 'Float', 'Floor', 'Flush', + 'FNum', 'FPutC', 'FPut', 'Fraction', 'FSeek', 'FStat', 'FTell', + 'Gamma', 'GError', 'GetArg', 'Get_Command', 'Get_Command_Argument', + 'Get_Environment_Variable', 'GetCWD', 'GetEnv', 'GetGId', 'GetLog', + 'GetPId', 'GetUId', 'GMTime', 'HostNm', 'Huge', 'Hypot', 'IAbs', + 'IAChar', 'IAll', 'IAnd', 'IAny', 'IArgC', 'IBClr', 'IBits', + 'IBSet', 'IChar', 'IDate', 'IDiM', 'IDInt', 'IDNInt', 'IEOr', + 'IErrNo', 'IFix', 'Imag', 'ImagPart', 'Image_Index', 'Index', + 'Int', 'IOr', 'IParity', 'IRand', 'IsaTty', 'IShft', 'IShftC', + 'ISign', 'Iso_C_Binding', 'Is_Contiguous', 'Is_Iostat_End', + 'Is_Iostat_Eor', 'ITime', 'Kill', 'Kind', 'LBound', 'LCoBound', + 'Len', 'Len_Trim', 'LGe', 'LGt', 'Link', 'LLe', 'LLt', 'LnBlnk', + 'Loc', 'Log', 'Log_Gamma', 'Logical', 'Long', 'LShift', 'LStat', + 'LTime', 'MaskL', 'MaskR', 'MatMul', 'Max', 'MaxExponent', + 'MaxLoc', 'MaxVal', 'MClock', 'Merge', 'Merge_Bits', 'Move_Alloc', + 'Min', 'MinExponent', 'MinLoc', 'MinVal', 'Mod', 'Modulo', 'MvBits', + 'Nearest', 'New_Line', 'NInt', 'Norm2', 'Not', 'Null', 'Num_Images', + 'Or', 'Pack', 'Parity', 'PError', 'Precision', 'Present', 'Product', + 'Radix', 'Rand', 'Random_Number', 'Random_Seed', 'Range', 'Real', + 'RealPart', 'Rename', 'Repeat', 'Reshape', 'RRSpacing', 'RShift', + 'Same_Type_As', 'Scale', 'Scan', 'Second', 'Selected_Char_Kind', + 'Selected_Int_Kind', 'Selected_Real_Kind', 'Set_Exponent', 'Shape', + 'ShiftA', 'ShiftL', 'ShiftR', 'Short', 'Sign', 'Signal', 'SinH', + 'Sin', 'Sleep', 'Sngl', 'Spacing', 'Spread', 'SqRt', 'SRand', + 'Stat', 'Storage_Size', 'Sum', 'SymLnk', 'System', 'System_Clock', + 'Tan', 'TanH', 'Time', 'This_Image', 'Tiny', 'TrailZ', 'Transfer', + 'Transpose', 'Trim', 'TtyNam', 'UBound', 'UCoBound', 'UMask', + 'Unlink', 'Unpack', 'Verify', 'XOr', 'ZAbs', 'ZCos', 'ZExp', + 'ZLog', 'ZSin', 'ZSqRt'), prefix=r'\b', suffix=r'\s*\b'), + Name.Builtin), + + # Booleans + (r'\.(true|false)\.', Name.Builtin), + # Comparing Operators + (r'\.(eq|ne|lt|le|gt|ge|not|and|or|eqv|neqv)\.', Operator.Word), + ], + + 'strings': [ + (r'(?s)"(\\\\|\\[0-7]+|\\.|[^"\\])*"', String.Double), + (r"(?s)'(\\\\|\\[0-7]+|\\.|[^'\\])*'", String.Single), + ], + + 'nums': [ + (r'\d+(?![.e])(_[a-z]\w+)?', Number.Integer), + (r'[+-]?\d*\.\d+([ed][-+]?\d+)?(_[a-z]\w+)?', Number.Float), + (r'[+-]?\d+\.\d*([ed][-+]?\d+)?(_[a-z]\w+)?', Number.Float), + ], + } + + +class FortranFixedLexer(RegexLexer): + """ + Lexer for fixed format Fortran. + + .. versionadded:: 2.1 + """ + name = 'FortranFixed' + aliases = ['fortranfixed'] + filenames = ['*.f', '*.F'] + + flags = re.IGNORECASE + + def _lex_fortran(self, match, ctx=None): + """Lex a line just as free form fortran without line break.""" + lexer = FortranLexer() + text = match.group(0) + "\n" + for index, token, value in lexer.get_tokens_unprocessed(text): + value = value.replace('\n', '') + if value != '': + yield index, token, value + + tokens = { + 'root': [ + (r'[C*].*\n', Comment), + (r'#.*\n', Comment.Preproc), + (r' {0,4}!.*\n', Comment), + (r'(.{5})', Name.Label, 'cont-char'), + (r'.*\n', using(FortranLexer)), + ], + 'cont-char': [ + (' ', Text, 'code'), + ('0', Comment, 'code'), + ('.', Generic.Strong, 'code'), + ], + 'code': [ + (r'(.{66})(.*)(\n)', + bygroups(_lex_fortran, Comment, Text), 'root'), + (r'(.*)(\n)', bygroups(_lex_fortran, Text), 'root'), + default('root'), + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/foxpro.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/foxpro.py new file mode 100644 index 0000000000000000000000000000000000000000..7c0d2621919abde9cb0cd70de2c108b88bb7ab3c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/foxpro.py @@ -0,0 +1,428 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.foxpro + ~~~~~~~~~~~~~~~~~~~~~~ + + Simple lexer for Microsoft Visual FoxPro source code. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer +from pygments.token import Punctuation, Text, Comment, Operator, Keyword, \ + Name, String + +__all__ = ['FoxProLexer'] + + +class FoxProLexer(RegexLexer): + """Lexer for Microsoft Visual FoxPro language. + + FoxPro syntax allows to shorten all keywords and function names + to 4 characters. Shortened forms are not recognized by this lexer. + + .. versionadded:: 1.6 + """ + + name = 'FoxPro' + aliases = ['foxpro', 'vfp', 'clipper', 'xbase'] + filenames = ['*.PRG', '*.prg'] + mimetype = [] + + flags = re.IGNORECASE | re.MULTILINE + + tokens = { + 'root': [ + (r';\s*\n', Punctuation), # consume newline + (r'(^|\n)\s*', Text, 'newline'), + + # Square brackets may be used for array indices + # and for string literal. Look for arrays + # before matching string literals. + (r'(?<=\w)\[[0-9, ]+\]', Text), + (r'\'[^\'\n]*\'|"[^"\n]*"|\[[^]*]\]', String), + (r'(^\s*\*|&&|&&).*?\n', Comment.Single), + + (r'(ABS|ACLASS|ACOPY|ACOS|ADATABASES|ADBOBJECTS|ADDBS|' + r'ADDPROPERTY|ADEL|ADIR|ADLLS|ADOCKSTATE|AELEMENT|AERROR|' + r'AEVENTS|AFIELDS|AFONT|AGETCLASS|AGETFILEVERSION|AINS|' + r'AINSTANCE|ALANGUAGE|ALEN|ALIAS|ALINES|ALLTRIM|' + r'AMEMBERS|AMOUSEOBJ|ANETRESOURCES|APRINTERS|APROCINFO|' + r'ASC|ASCAN|ASELOBJ|ASESSIONS|ASIN|ASORT|ASQLHANDLES|' + r'ASTACKINFO|ASUBSCRIPT|AT|AT_C|ATAGINFO|ATAN|ATC|ATCC|' + r'ATCLINE|ATLINE|ATN2|AUSED|AVCXCLASSES|BAR|BARCOUNT|' + r'BARPROMPT|BETWEEN|BINDEVENT|BINTOC|BITAND|BITCLEAR|' + r'BITLSHIFT|BITNOT|BITOR|BITRSHIFT|BITSET|BITTEST|BITXOR|' + r'BOF|CANDIDATE|CAPSLOCK|CAST|CDOW|CDX|CEILING|CHR|CHRSAW|' + r'CHRTRAN|CHRTRANC|CLEARRESULTSET|CMONTH|CNTBAR|CNTPAD|COL|' + r'COM|Functions|COMARRAY|COMCLASSINFO|COMPOBJ|COMPROP|' + r'COMRETURNERROR|COS|CPCONVERT|CPCURRENT|CPDBF|CREATEBINARY|' + r'CREATEOBJECT|CREATEOBJECTEX|CREATEOFFLINE|CTOBIN|CTOD|' + r'CTOT|CURDIR|CURSORGETPROP|CURSORSETPROP|CURSORTOXML|' + r'CURVAL|DATE|DATETIME|DAY|DBC|DBF|DBGETPROP|DBSETPROP|' + r'DBUSED|DDEAbortTrans|DDEAdvise|DDEEnabled|DDEExecute|' + r'DDEInitiate|DDELastError|DDEPoke|DDERequest|DDESetOption|' + r'DDESetService|DDESetTopic|DDETerminate|DEFAULTEXT|' + r'DELETED|DESCENDING|DIFFERENCE|DIRECTORY|DISKSPACE|' + r'DisplayPath|DMY|DODEFAULT|DOW|DRIVETYPE|DROPOFFLINE|' + r'DTOC|DTOR|DTOS|DTOT|EDITSOURCE|EMPTY|EOF|ERROR|EVAL(UATE)?|' + r'EVENTHANDLER|EVL|EXECSCRIPT|EXP|FCHSIZE|FCLOSE|FCOUNT|' + r'FCREATE|FDATE|FEOF|FERROR|FFLUSH|FGETS|FIELD|FILE|' + r'FILETOSTR|FILTER|FKLABEL|FKMAX|FLDLIST|FLOCK|FLOOR|' + r'FONTMETRIC|FOPEN|FOR|FORCEEXT|FORCEPATH|FOUND|FPUTS|' + r'FREAD|FSEEK|FSIZE|FTIME|FULLPATH|FV|FWRITE|' + r'GETAUTOINCVALUE|GETBAR|GETCOLOR|GETCP|GETDIR|GETENV|' + r'GETFILE|GETFLDSTATE|GETFONT|GETINTERFACE|' + r'GETNEXTMODIFIED|GETOBJECT|GETPAD|GETPEM|GETPICT|' + r'GETPRINTER|GETRESULTSET|GETWORDCOUNT|GETWORDNUM|' + r'GETCURSORADAPTER|GOMONTH|HEADER|HOME|HOUR|ICASE|' + r'IDXCOLLATE|IIF|IMESTATUS|INDBC|INDEXSEEK|INKEY|INLIST|' + r'INPUTBOX|INSMODE|INT|ISALPHA|ISBLANK|ISCOLOR|ISDIGIT|' + r'ISEXCLUSIVE|ISFLOCKED|ISLEADBYTE|ISLOWER|ISMEMOFETCHED|' + r'ISMOUSE|ISNULL|ISPEN|ISREADONLY|ISRLOCKED|' + r'ISTRANSACTABLE|ISUPPER|JUSTDRIVE|JUSTEXT|JUSTFNAME|' + r'JUSTPATH|JUSTSTEM|KEY|KEYMATCH|LASTKEY|LEFT|LEFTC|LEN|' + r'LENC|LIKE|LIKEC|LINENO|LOADPICTURE|LOCFILE|LOCK|LOG|' + r'LOG10|LOOKUP|LOWER|LTRIM|LUPDATE|MAKETRANSACTABLE|MAX|' + r'MCOL|MDOWN|MDX|MDY|MEMLINES|MEMORY|MENU|MESSAGE|' + r'MESSAGEBOX|MIN|MINUTE|MLINE|MOD|MONTH|MRKBAR|MRKPAD|' + r'MROW|MTON|MWINDOW|NDX|NEWOBJECT|NORMALIZE|NTOM|NUMLOCK|' + r'NVL|OBJNUM|OBJTOCLIENT|OBJVAR|OCCURS|OEMTOANSI|OLDVAL|' + r'ON|ORDER|OS|PAD|PADL|PARAMETERS|PAYMENT|PCOL|PCOUNT|' + r'PEMSTATUS|PI|POPUP|PRIMARY|PRINTSTATUS|PRMBAR|PRMPAD|' + r'PROGRAM|PROMPT|PROPER|PROW|PRTINFO|PUTFILE|PV|QUARTER|' + r'RAISEEVENT|RAND|RAT|RATC|RATLINE|RDLEVEL|READKEY|RECCOUNT|' + r'RECNO|RECSIZE|REFRESH|RELATION|REPLICATE|REQUERY|RGB|' + r'RGBSCHEME|RIGHT|RIGHTC|RLOCK|ROUND|ROW|RTOD|RTRIM|' + r'SAVEPICTURE|SCHEME|SCOLS|SEC|SECONDS|SEEK|SELECT|SET|' + r'SETFLDSTATE|SETRESULTSET|SIGN|SIN|SKPBAR|SKPPAD|SOUNDEX|' + r'SPACE|SQLCANCEL|SQLCOLUMNS|SQLCOMMIT|SQLCONNECT|' + r'SQLDISCONNECT|SQLEXEC|SQLGETPROP|SQLIDLEDISCONNECT|' + r'SQLMORERESULTS|SQLPREPARE|SQLROLLBACK|SQLSETPROP|' + r'SQLSTRINGCONNECT|SQLTABLES|SQRT|SROWS|STR|STRCONV|' + r'STREXTRACT|STRTOFILE|STRTRAN|STUFF|STUFFC|SUBSTR|' + r'SUBSTRC|SYS|SYSMETRIC|TABLEREVERT|TABLEUPDATE|TAG|' + r'TAGCOUNT|TAGNO|TAN|TARGET|TEXTMERGE|TIME|TRANSFORM|' + r'TRIM|TTOC|TTOD|TXNLEVEL|TXTWIDTH|TYPE|UNBINDEVENTS|' + r'UNIQUE|UPDATED|UPPER|USED|VAL|VARREAD|VARTYPE|VERSION|' + r'WBORDER|WCHILD|WCOLS|WDOCKABLE|WEEK|WEXIST|WFONT|WLAST|' + r'WLCOL|WLROW|WMAXIMUM|WMINIMUM|WONTOP|WOUTPUT|WPARENT|' + r'WREAD|WROWS|WTITLE|WVISIBLE|XMLTOCURSOR|XMLUPDATEGRAM|' + r'YEAR)(?=\s*\()', Name.Function), + + (r'_ALIGNMENT|_ASCIICOLS|_ASCIIROWS|_ASSIST|_BEAUTIFY|_BOX|' + r'_BROWSER|_BUILDER|_CALCMEM|_CALCVALUE|_CLIPTEXT|_CONVERTER|' + r'_COVERAGE|_CUROBJ|_DBLCLICK|_DIARYDATE|_DOS|_FOXDOC|_FOXREF|' + r'_GALLERY|_GENGRAPH|_GENHTML|_GENMENU|_GENPD|_GENSCRN|' + r'_GENXTAB|_GETEXPR|_INCLUDE|_INCSEEK|_INDENT|_LMARGIN|_MAC|' + r'_MENUDESIGNER|_MLINE|_PADVANCE|_PAGENO|_PAGETOTAL|_PBPAGE|' + r'_PCOLNO|_PCOPIES|_PDRIVER|_PDSETUP|_PECODE|_PEJECT|_PEPAGE|' + r'_PLENGTH|_PLINENO|_PLOFFSET|_PPITCH|_PQUALITY|_PRETEXT|' + r'_PSCODE|_PSPACING|_PWAIT|_RMARGIN|_REPORTBUILDER|' + r'_REPORTOUTPUT|_REPORTPREVIEW|_SAMPLES|_SCCTEXT|_SCREEN|' + r'_SHELL|_SPELLCHK|_STARTUP|_TABS|_TALLY|_TASKPANE|_TEXT|' + r'_THROTTLE|_TOOLBOX|_TOOLTIPTIMEOUT|_TRANSPORT|_TRIGGERLEVEL|' + r'_UNIX|_VFP|_WINDOWS|_WIZARD|_WRAP', Keyword.Pseudo), + + (r'THISFORMSET|THISFORM|THIS', Name.Builtin), + + (r'Application|CheckBox|Collection|Column|ComboBox|' + r'CommandButton|CommandGroup|Container|Control|CursorAdapter|' + r'Cursor|Custom|DataEnvironment|DataObject|EditBox|' + r'Empty|Exception|Fields|Files|File|FormSet|Form|FoxCode|' + r'Grid|Header|Hyperlink|Image|Label|Line|ListBox|Objects|' + r'OptionButton|OptionGroup|PageFrame|Page|ProjectHook|Projects|' + r'Project|Relation|ReportListener|Separator|Servers|Server|' + r'Session|Shape|Spinner|Tables|TextBox|Timer|ToolBar|' + r'XMLAdapter|XMLField|XMLTable', Name.Class), + + (r'm\.[a-z_]\w*', Name.Variable), + (r'\.(F|T|AND|OR|NOT|NULL)\.|\b(AND|OR|NOT|NULL)\b', Operator.Word), + + (r'\.(ActiveColumn|ActiveControl|ActiveForm|ActivePage|' + r'ActiveProject|ActiveRow|AddLineFeeds|ADOCodePage|Alias|' + r'Alignment|Align|AllowAddNew|AllowAutoColumnFit|' + r'AllowCellSelection|AllowDelete|AllowHeaderSizing|' + r'AllowInsert|AllowModalMessages|AllowOutput|AllowRowSizing|' + r'AllowSimultaneousFetch|AllowTabs|AllowUpdate|' + r'AlwaysOnBottom|AlwaysOnTop|Anchor|Application|' + r'AutoActivate|AutoCenter|AutoCloseTables|AutoComplete|' + r'AutoCompSource|AutoCompTable|AutoHideScrollBar|' + r'AutoIncrement|AutoOpenTables|AutoRelease|AutoSize|' + r'AutoVerbMenu|AutoYield|BackColor|ForeColor|BackStyle|' + r'BaseClass|BatchUpdateCount|BindControls|BorderColor|' + r'BorderStyle|BorderWidth|BoundColumn|BoundTo|Bound|' + r'BreakOnError|BufferModeOverride|BufferMode|' + r'BuildDateTime|ButtonCount|Buttons|Cancel|Caption|' + r'Centered|Century|ChildAlias|ChildOrder|ChildTable|' + r'ClassLibrary|Class|ClipControls|Closable|CLSID|CodePage|' + r'ColorScheme|ColorSource|ColumnCount|ColumnLines|' + r'ColumnOrder|Columns|ColumnWidths|CommandClauses|' + r'Comment|CompareMemo|ConflictCheckCmd|ConflictCheckType|' + r'ContinuousScroll|ControlBox|ControlCount|Controls|' + r'ControlSource|ConversionFunc|Count|CurrentControl|' + r'CurrentDataSession|CurrentPass|CurrentX|CurrentY|' + r'CursorSchema|CursorSource|CursorStatus|Curvature|' + r'Database|DataSessionID|DataSession|DataSourceType|' + r'DataSource|DataType|DateFormat|DateMark|Debug|' + r'DeclareXMLPrefix|DEClassLibrary|DEClass|DefaultFilePath|' + r'Default|DefOLELCID|DeleteCmdDataSourceType|DeleteCmdDataSource|' + r'DeleteCmd|DeleteMark|Description|Desktop|' + r'Details|DisabledBackColor|DisabledForeColor|' + r'DisabledItemBackColor|DisabledItemForeColor|' + r'DisabledPicture|DisableEncode|DisplayCount|' + r'DisplayValue|Dockable|Docked|DockPosition|' + r'DocumentFile|DownPicture|DragIcon|DragMode|DrawMode|' + r'DrawStyle|DrawWidth|DynamicAlignment|DynamicBackColor|' + r'DynamicForeColor|DynamicCurrentControl|DynamicFontBold|' + r'DynamicFontItalic|DynamicFontStrikethru|' + r'DynamicFontUnderline|DynamicFontName|DynamicFontOutline|' + r'DynamicFontShadow|DynamicFontSize|DynamicInputMask|' + r'DynamicLineHeight|EditorOptions|Enabled|' + r'EnableHyperlinks|Encrypted|ErrorNo|Exclude|Exclusive|' + r'FetchAsNeeded|FetchMemoCmdList|FetchMemoDataSourceType|' + r'FetchMemoDataSource|FetchMemo|FetchSize|' + r'FileClassLibrary|FileClass|FillColor|FillStyle|Filter|' + r'FirstElement|FirstNestedTable|Flags|FontBold|FontItalic|' + r'FontStrikethru|FontUnderline|FontCharSet|FontCondense|' + r'FontExtend|FontName|FontOutline|FontShadow|FontSize|' + r'ForceCloseTag|Format|FormCount|FormattedOutput|Forms|' + r'FractionDigits|FRXDataSession|FullName|GDIPlusGraphics|' + r'GridLineColor|GridLines|GridLineWidth|HalfHeightCaption|' + r'HeaderClassLibrary|HeaderClass|HeaderHeight|Height|' + r'HelpContextID|HideSelection|HighlightBackColor|' + r'HighlightForeColor|HighlightStyle|HighlightRowLineWidth|' + r'HighlightRow|Highlight|HomeDir|Hours|HostName|' + r'HScrollSmallChange|hWnd|Icon|IncrementalSearch|Increment|' + r'InitialSelectedAlias|InputMask|InsertCmdDataSourceType|' + r'InsertCmdDataSource|InsertCmdRefreshCmd|' + r'InsertCmdRefreshFieldList|InsertCmdRefreshKeyFieldList|' + r'InsertCmd|Instancing|IntegralHeight|' + r'Interval|IMEMode|IsAttribute|IsBase64|IsBinary|IsNull|' + r'IsDiffGram|IsLoaded|ItemBackColor,|ItemData|ItemIDData|' + r'ItemTips|IXMLDOMElement|KeyboardHighValue|KeyboardLowValue|' + r'Keyfield|KeyFieldList|KeyPreview|KeySort|LanguageOptions|' + r'LeftColumn|Left|LineContents|LineNo|LineSlant|LinkMaster|' + r'ListCount|ListenerType|ListIndex|ListItemID|ListItem|' + r'List|LockColumnsLeft|LockColumns|LockScreen|MacDesktop|' + r'MainFile|MapN19_4ToCurrency|MapBinary|MapVarchar|Margin|' + r'MaxButton|MaxHeight|MaxLeft|MaxLength|MaxRecords|MaxTop|' + r'MaxWidth|MDIForm|MemberClassLibrary|MemberClass|' + r'MemoWindow|Message|MinButton|MinHeight|MinWidth|' + r'MouseIcon|MousePointer|Movable|MoverBars|MultiSelect|' + r'Name|NestedInto|NewIndex|NewItemID|NextSiblingTable|' + r'NoCpTrans|NoDataOnLoad|NoData|NullDisplay|' + r'NumberOfElements|Object|OLEClass|OLEDragMode|' + r'OLEDragPicture|OLEDropEffects|OLEDropHasData|' + r'OLEDropMode|OLEDropTextInsertion|OLELCID|' + r'OLERequestPendingTimeout|OLEServerBusyRaiseError|' + r'OLEServerBusyTimeout|OLETypeAllowed|OneToMany|' + r'OpenViews|OpenWindow|Optimize|OrderDirection|Order|' + r'OutputPageCount|OutputType|PageCount|PageHeight|' + r'PageNo|PageOrder|Pages|PageTotal|PageWidth|' + r'PanelLink|Panel|ParentAlias|ParentClass|ParentTable|' + r'Parent|Partition|PasswordChar|PictureMargin|' + r'PicturePosition|PictureSpacing|PictureSelectionDisplay|' + r'PictureVal|Picture|Prepared|' + r'PolyPoints|PreserveWhiteSpace|PreviewContainer|' + r'PrintJobName|Procedure|PROCESSID|ProgID|ProjectHookClass|' + r'ProjectHookLibrary|ProjectHook|QuietMode|' + r'ReadCycle|ReadLock|ReadMouse|ReadObject|ReadOnly|' + r'ReadSave|ReadTimeout|RecordMark|RecordSourceType|' + r'RecordSource|RefreshAlias|' + r'RefreshCmdDataSourceType|RefreshCmdDataSource|RefreshCmd|' + r'RefreshIgnoreFieldList|RefreshTimeStamp|RelationalExpr|' + r'RelativeColumn|RelativeRow|ReleaseType|Resizable|' + r'RespectCursorCP|RespectNesting|RightToLeft|RotateFlip|' + r'Rotation|RowColChange|RowHeight|RowSourceType|' + r'RowSource|ScaleMode|SCCProvider|SCCStatus|ScrollBars|' + r'Seconds|SelectCmd|SelectedID|' + r'SelectedItemBackColor|SelectedItemForeColor|Selected|' + r'SelectionNamespaces|SelectOnEntry|SelLength|SelStart|' + r'SelText|SendGDIPlusImage|SendUpdates|ServerClassLibrary|' + r'ServerClass|ServerHelpFile|ServerName|' + r'ServerProject|ShowTips|ShowInTaskbar|ShowWindow|' + r'Sizable|SizeBox|SOM|Sorted|Sparse|SpecialEffect|' + r'SpinnerHighValue|SpinnerLowValue|SplitBar|StackLevel|' + r'StartMode|StatusBarText|StatusBar|Stretch|StrictDateEntry|' + r'Style|TabIndex|Tables|TabOrientation|Tabs|TabStop|' + r'TabStretch|TabStyle|Tag|TerminateRead|Text|Themes|' + r'ThreadID|TimestampFieldList|TitleBar|ToolTipText|' + r'TopIndex|TopItemID|Top|TwoPassProcess|TypeLibCLSID|' + r'TypeLibDesc|TypeLibName|Type|Unicode|UpdatableFieldList|' + r'UpdateCmdDataSourceType|UpdateCmdDataSource|' + r'UpdateCmdRefreshCmd|UpdateCmdRefreshFieldList|' + r'UpdateCmdRefreshKeyFieldList|UpdateCmd|' + r'UpdateGramSchemaLocation|UpdateGram|UpdateNameList|UpdateType|' + r'UseCodePage|UseCursorSchema|UseDeDataSource|UseMemoSize|' + r'UserValue|UseTransactions|UTF8Encoded|Value|VersionComments|' + r'VersionCompany|VersionCopyright|VersionDescription|' + r'VersionNumber|VersionProduct|VersionTrademarks|Version|' + r'VFPXMLProgID|ViewPortHeight|ViewPortLeft|' + r'ViewPortTop|ViewPortWidth|VScrollSmallChange|View|Visible|' + r'VisualEffect|WhatsThisButton|WhatsThisHelpID|WhatsThisHelp|' + r'WhereType|Width|WindowList|WindowState|WindowType|WordWrap|' + r'WrapCharInCDATA|WrapInCDATA|WrapMemoInCDATA|XMLAdapter|' + r'XMLConstraints|XMLNameIsXPath|XMLNamespace|XMLName|' + r'XMLPrefix|XMLSchemaLocation|XMLTable|XMLType|' + r'XSDfractionDigits|XSDmaxLength|XSDtotalDigits|' + r'XSDtype|ZoomBox)', Name.Attribute), + + (r'\.(ActivateCell|AddColumn|AddItem|AddListItem|AddObject|' + r'AddProperty|AddTableSchema|AddToSCC|Add|' + r'ApplyDiffgram|Attach|AutoFit|AutoOpen|Box|Build|' + r'CancelReport|ChangesToCursor|CheckIn|CheckOut|Circle|' + r'CleanUp|ClearData|ClearStatus|Clear|CloneObject|CloseTables|' + r'Close|Cls|CursorAttach|CursorDetach|CursorFill|' + r'CursorRefresh|DataToClip|DelayedMemoFetch|DeleteColumn|' + r'Dock|DoMessage|DoScroll|DoStatus|DoVerb|Drag|Draw|Eval|' + r'GetData|GetDockState|GetFormat|GetKey|GetLatestVersion|' + r'GetPageHeight|GetPageWidth|Help|Hide|IncludePageInOutput|' + r'IndexToItemID|ItemIDToIndex|Item|LoadXML|Line|Modify|' + r'MoveItem|Move|Nest|OLEDrag|OnPreviewClose|OutputPage|' + r'Point|Print|PSet|Quit|ReadExpression|ReadMethod|' + r'RecordRefresh|Refresh|ReleaseXML|Release|RemoveFromSCC|' + r'RemoveItem|RemoveListItem|RemoveObject|Remove|' + r'Render|Requery|RequestData|ResetToDefault|Reset|Run|' + r'SaveAsClass|SaveAs|SetAll|SetData|SetFocus|SetFormat|' + r'SetMain|SetVar|SetViewPort|ShowWhatsThis|Show|' + r'SupportsListenerType|TextHeight|TextWidth|ToCursor|' + r'ToXML|UndoCheckOut|Unnest|UpdateStatus|WhatsThisMode|' + r'WriteExpression|WriteMethod|ZOrder)', Name.Function), + + (r'\.(Activate|AdjustObjectSize|AfterBand|AfterBuild|' + r'AfterCloseTables|AfterCursorAttach|AfterCursorClose|' + r'AfterCursorDetach|AfterCursorFill|AfterCursorRefresh|' + r'AfterCursorUpdate|AfterDelete|AfterInsert|' + r'AfterRecordRefresh|AfterUpdate|AfterDock|AfterReport|' + r'AfterRowColChange|BeforeBand|BeforeCursorAttach|' + r'BeforeCursorClose|BeforeCursorDetach|BeforeCursorFill|' + r'BeforeCursorRefresh|BeforeCursorUpdate|BeforeDelete|' + r'BeforeInsert|BeforeDock|BeforeOpenTables|' + r'BeforeRecordRefresh|BeforeReport|BeforeRowColChange|' + r'BeforeUpdate|Click|dbc_Activate|dbc_AfterAddTable|' + r'dbc_AfterAppendProc|dbc_AfterCloseTable|dbc_AfterCopyProc|' + r'dbc_AfterCreateConnection|dbc_AfterCreateOffline|' + r'dbc_AfterCreateTable|dbc_AfterCreateView|dbc_AfterDBGetProp|' + r'dbc_AfterDBSetProp|dbc_AfterDeleteConnection|' + r'dbc_AfterDropOffline|dbc_AfterDropTable|' + r'dbc_AfterModifyConnection|dbc_AfterModifyProc|' + r'dbc_AfterModifyTable|dbc_AfterModifyView|dbc_AfterOpenTable|' + r'dbc_AfterRemoveTable|dbc_AfterRenameConnection|' + r'dbc_AfterRenameTable|dbc_AfterRenameView|' + r'dbc_AfterValidateData|dbc_BeforeAddTable|' + r'dbc_BeforeAppendProc|dbc_BeforeCloseTable|' + r'dbc_BeforeCopyProc|dbc_BeforeCreateConnection|' + r'dbc_BeforeCreateOffline|dbc_BeforeCreateTable|' + r'dbc_BeforeCreateView|dbc_BeforeDBGetProp|' + r'dbc_BeforeDBSetProp|dbc_BeforeDeleteConnection|' + r'dbc_BeforeDropOffline|dbc_BeforeDropTable|' + r'dbc_BeforeModifyConnection|dbc_BeforeModifyProc|' + r'dbc_BeforeModifyTable|dbc_BeforeModifyView|' + r'dbc_BeforeOpenTable|dbc_BeforeRemoveTable|' + r'dbc_BeforeRenameConnection|dbc_BeforeRenameTable|' + r'dbc_BeforeRenameView|dbc_BeforeValidateData|' + r'dbc_CloseData|dbc_Deactivate|dbc_ModifyData|dbc_OpenData|' + r'dbc_PackData|DblClick|Deactivate|Deleted|Destroy|DoCmd|' + r'DownClick|DragDrop|DragOver|DropDown|ErrorMessage|Error|' + r'EvaluateContents|GotFocus|Init|InteractiveChange|KeyPress|' + r'LoadReport|Load|LostFocus|Message|MiddleClick|MouseDown|' + r'MouseEnter|MouseLeave|MouseMove|MouseUp|MouseWheel|Moved|' + r'OLECompleteDrag|OLEDragOver|OLEGiveFeedback|OLESetData|' + r'OLEStartDrag|OnMoveItem|Paint|ProgrammaticChange|' + r'QueryAddFile|QueryModifyFile|QueryNewFile|QueryRemoveFile|' + r'QueryRunFile|QueryUnload|RangeHigh|RangeLow|ReadActivate|' + r'ReadDeactivate|ReadShow|ReadValid|ReadWhen|Resize|' + r'RightClick|SCCInit|SCCDestroy|Scrolled|Timer|UIEnable|' + r'UnDock|UnloadReport|Unload|UpClick|Valid|When)', Name.Function), + + (r'\s+', Text), + # everything else is not colored + (r'.', Text), + ], + 'newline': [ + (r'\*.*?$', Comment.Single, '#pop'), + (r'(ACCEPT|ACTIVATE\s*MENU|ACTIVATE\s*POPUP|ACTIVATE\s*SCREEN|' + r'ACTIVATE\s*WINDOW|APPEND|APPEND\s*FROM|APPEND\s*FROM\s*ARRAY|' + r'APPEND\s*GENERAL|APPEND\s*MEMO|ASSIST|AVERAGE|BLANK|BROWSE|' + r'BUILD\s*APP|BUILD\s*EXE|BUILD\s*PROJECT|CALCULATE|CALL|' + r'CANCEL|CHANGE|CLEAR|CLOSE|CLOSE\s*MEMO|COMPILE|CONTINUE|' + r'COPY\s*FILE|COPY\s*INDEXES|COPY\s*MEMO|COPY\s*STRUCTURE|' + r'COPY\s*STRUCTURE\s*EXTENDED|COPY\s*TAG|COPY\s*TO|' + r'COPY\s*TO\s*ARRAY|COUNT|CREATE|CREATE\s*COLOR\s*SET|' + r'CREATE\s*CURSOR|CREATE\s*FROM|CREATE\s*LABEL|CREATE\s*MENU|' + r'CREATE\s*PROJECT|CREATE\s*QUERY|CREATE\s*REPORT|' + r'CREATE\s*SCREEN|CREATE\s*TABLE|CREATE\s*VIEW|DDE|' + r'DEACTIVATE\s*MENU|DEACTIVATE\s*POPUP|DEACTIVATE\s*WINDOW|' + r'DECLARE|DEFINE\s*BAR|DEFINE\s*BOX|DEFINE\s*MENU|' + r'DEFINE\s*PAD|DEFINE\s*POPUP|DEFINE\s*WINDOW|DELETE|' + r'DELETE\s*FILE|DELETE\s*TAG|DIMENSION|DIRECTORY|DISPLAY|' + r'DISPLAY\s*FILES|DISPLAY\s*MEMORY|DISPLAY\s*STATUS|' + r'DISPLAY\s*STRUCTURE|DO|EDIT|EJECT|EJECT\s*PAGE|ERASE|' + r'EXIT|EXPORT|EXTERNAL|FILER|FIND|FLUSH|FUNCTION|GATHER|' + r'GETEXPR|GO|GOTO|HELP|HIDE\s*MENU|HIDE\s*POPUP|' + r'HIDE\s*WINDOW|IMPORT|INDEX|INPUT|INSERT|JOIN|KEYBOARD|' + r'LABEL|LIST|LOAD|LOCATE|LOOP|MENU|MENU\s*TO|MODIFY\s*COMMAND|' + r'MODIFY\s*FILE|MODIFY\s*GENERAL|MODIFY\s*LABEL|MODIFY\s*MEMO|' + r'MODIFY\s*MENU|MODIFY\s*PROJECT|MODIFY\s*QUERY|' + r'MODIFY\s*REPORT|MODIFY\s*SCREEN|MODIFY\s*STRUCTURE|' + r'MODIFY\s*WINDOW|MOVE\s*POPUP|MOVE\s*WINDOW|NOTE|' + r'ON\s*APLABOUT|ON\s*BAR|ON\s*ERROR|ON\s*ESCAPE|' + r'ON\s*EXIT\s*BAR|ON\s*EXIT\s*MENU|ON\s*EXIT\s*PAD|' + r'ON\s*EXIT\s*POPUP|ON\s*KEY|ON\s*KEY\s*=|ON\s*KEY\s*LABEL|' + r'ON\s*MACHELP|ON\s*PAD|ON\s*PAGE|ON\s*READERROR|' + r'ON\s*SELECTION\s*BAR|ON\s*SELECTION\s*MENU|' + r'ON\s*SELECTION\s*PAD|ON\s*SELECTION\s*POPUP|ON\s*SHUTDOWN|' + r'PACK|PARAMETERS|PLAY\s*MACRO|POP\s*KEY|POP\s*MENU|' + r'POP\s*POPUP|PRIVATE|PROCEDURE|PUBLIC|PUSH\s*KEY|' + r'PUSH\s*MENU|PUSH\s*POPUP|QUIT|READ|READ\s*MENU|RECALL|' + r'REINDEX|RELEASE|RELEASE\s*MODULE|RENAME|REPLACE|' + r'REPLACE\s*FROM\s*ARRAY|REPORT|RESTORE\s*FROM|' + r'RESTORE\s*MACROS|RESTORE\s*SCREEN|RESTORE\s*WINDOW|' + r'RESUME|RETRY|RETURN|RUN|RUN\s*\/N"|RUNSCRIPT|' + r'SAVE\s*MACROS|SAVE\s*SCREEN|SAVE\s*TO|SAVE\s*WINDOWS|' + r'SCATTER|SCROLL|SEEK|SELECT|SET|SET\s*ALTERNATE|' + r'SET\s*ANSI|SET\s*APLABOUT|SET\s*AUTOSAVE|SET\s*BELL|' + r'SET\s*BLINK|SET\s*BLOCKSIZE|SET\s*BORDER|SET\s*BRSTATUS|' + r'SET\s*CARRY|SET\s*CENTURY|SET\s*CLEAR|SET\s*CLOCK|' + r'SET\s*COLLATE|SET\s*COLOR\s*OF|SET\s*COLOR\s*OF\s*SCHEME|' + r'SET\s*COLOR\s*SET|SET\s*COLOR\s*TO|SET\s*COMPATIBLE|' + r'SET\s*CONFIRM|SET\s*CONSOLE|SET\s*CURRENCY|SET\s*CURSOR|' + r'SET\s*DATE|SET\s*DEBUG|SET\s*DECIMALS|SET\s*DEFAULT|' + r'SET\s*DELETED|SET\s*DELIMITERS|SET\s*DEVELOPMENT|' + r'SET\s*DEVICE|SET\s*DISPLAY|SET\s*DOHISTORY|SET\s*ECHO|' + r'SET\s*ESCAPE|SET\s*EXACT|SET\s*EXCLUSIVE|SET\s*FIELDS|' + r'SET\s*FILTER|SET\s*FIXED|SET\s*FORMAT|SET\s*FULLPATH|' + r'SET\s*FUNCTION|SET\s*HEADINGS|SET\s*HELP|SET\s*HELPFILTER|' + r'SET\s*HOURS|SET\s*INDEX|SET\s*INTENSITY|SET\s*KEY|' + r'SET\s*KEYCOMP|SET\s*LIBRARY|SET\s*LOCK|SET\s*LOGERRORS|' + r'SET\s*MACDESKTOP|SET\s*MACHELP|SET\s*MACKEY|SET\s*MARGIN|' + r'SET\s*MARK\s*OF|SET\s*MARK\s*TO|SET\s*MEMOWIDTH|' + r'SET\s*MESSAGE|SET\s*MOUSE|SET\s*MULTILOCKS|SET\s*NEAR|' + r'SET\s*NOCPTRANS|SET\s*NOTIFY|SET\s*ODOMETER|SET\s*OPTIMIZE|' + r'SET\s*ORDER|SET\s*PALETTE|SET\s*PATH|SET\s*PDSETUP|' + r'SET\s*POINT|SET\s*PRINTER|SET\s*PROCEDURE|SET\s*READBORDER|' + r'SET\s*REFRESH|SET\s*RELATION|SET\s*RELATION\s*OFF|' + r'SET\s*REPROCESS|SET\s*RESOURCE|SET\s*SAFETY|SET\s*SCOREBOARD|' + r'SET\s*SEPARATOR|SET\s*SHADOWS|SET\s*SKIP|SET\s*SKIP\s*OF|' + r'SET\s*SPACE|SET\s*STATUS|SET\s*STATUS\s*BAR|SET\s*STEP|' + r'SET\s*STICKY|SET\s*SYSMENU|SET\s*TALK|SET\s*TEXTMERGE|' + r'SET\s*TEXTMERGE\s*DELIMITERS|SET\s*TOPIC|SET\s*TRBETWEEN|' + r'SET\s*TYPEAHEAD|SET\s*UDFPARMS|SET\s*UNIQUE|SET\s*VIEW|' + r'SET\s*VOLUME|SET\s*WINDOW\s*OF\s*MEMO|SET\s*XCMDFILE|' + r'SHOW\s*GET|SHOW\s*GETS|SHOW\s*MENU|SHOW\s*OBJECT|' + r'SHOW\s*POPUP|SHOW\s*WINDOW|SIZE\s*POPUP|SKIP|SORT|' + r'STORE|SUM|SUSPEND|TOTAL|TYPE|UNLOCK|UPDATE|USE|WAIT|' + r'ZAP|ZOOM\s*WINDOW|DO\s*CASE|CASE|OTHERWISE|ENDCASE|' + r'DO\s*WHILE|ENDDO|FOR|ENDFOR|NEXT|IF|ELSE|ENDIF|PRINTJOB|' + r'ENDPRINTJOB|SCAN|ENDSCAN|TEXT|ENDTEXT|=)', + Keyword.Reserved, '#pop'), + (r'#\s*(IF|ELIF|ELSE|ENDIF|DEFINE|IFDEF|IFNDEF|INCLUDE)', + Comment.Preproc, '#pop'), + (r'(m\.)?[a-z_]\w*', Name.Variable, '#pop'), + (r'.', Text, '#pop'), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/functional.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/functional.py new file mode 100644 index 0000000000000000000000000000000000000000..254df795f6b54090a0d00bf96e8c235240b17258 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/functional.py @@ -0,0 +1,21 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.functional + ~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Just export lexer classes previously contained in this module. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexers.lisp import SchemeLexer, CommonLispLexer, RacketLexer, \ + NewLispLexer, ShenLexer +from pygments.lexers.haskell import HaskellLexer, LiterateHaskellLexer, \ + KokaLexer +from pygments.lexers.theorem import CoqLexer +from pygments.lexers.erlang import ErlangLexer, ErlangShellLexer, \ + ElixirConsoleLexer, ElixirLexer +from pygments.lexers.ml import SMLLexer, OcamlLexer, OpaLexer + +__all__ = [] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/go.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/go.py new file mode 100644 index 0000000000000000000000000000000000000000..cc2a6d631225b683622f12b87d8600d055b1512c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/go.py @@ -0,0 +1,101 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.go + ~~~~~~~~~~~~~~~~~~ + + Lexers for the Google Go language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, bygroups, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation + +__all__ = ['GoLexer'] + + +class GoLexer(RegexLexer): + """ + For `Go `_ source. + + .. versionadded:: 1.2 + """ + name = 'Go' + filenames = ['*.go'] + aliases = ['go'] + mimetypes = ['text/x-gosrc'] + + flags = re.MULTILINE | re.UNICODE + + tokens = { + 'root': [ + (r'\n', Text), + (r'\s+', Text), + (r'\\\n', Text), # line continuations + (r'//(.*?)\n', Comment.Single), + (r'/(\\\n)?[*](.|\n)*?[*](\\\n)?/', Comment.Multiline), + (r'(import|package)\b', Keyword.Namespace), + (r'(var|func|struct|map|chan|type|interface|const)\b', + Keyword.Declaration), + (words(( + 'break', 'default', 'select', 'case', 'defer', 'go', + 'else', 'goto', 'switch', 'fallthrough', 'if', 'range', + 'continue', 'for', 'return'), suffix=r'\b'), + Keyword), + (r'(true|false|iota|nil)\b', Keyword.Constant), + # It seems the builtin types aren't actually keywords, but + # can be used as functions. So we need two declarations. + (words(( + 'uint', 'uint8', 'uint16', 'uint32', 'uint64', + 'int', 'int8', 'int16', 'int32', 'int64', + 'float', 'float32', 'float64', + 'complex64', 'complex128', 'byte', 'rune', + 'string', 'bool', 'error', 'uintptr', + 'print', 'println', 'panic', 'recover', 'close', 'complex', + 'real', 'imag', 'len', 'cap', 'append', 'copy', 'delete', + 'new', 'make'), suffix=r'\b(\()'), + bygroups(Name.Builtin, Punctuation)), + (words(( + 'uint', 'uint8', 'uint16', 'uint32', 'uint64', + 'int', 'int8', 'int16', 'int32', 'int64', + 'float', 'float32', 'float64', + 'complex64', 'complex128', 'byte', 'rune', + 'string', 'bool', 'error', 'uintptr'), suffix=r'\b'), + Keyword.Type), + # imaginary_lit + (r'\d+i', Number), + (r'\d+\.\d*([Ee][-+]\d+)?i', Number), + (r'\.\d+([Ee][-+]\d+)?i', Number), + (r'\d+[Ee][-+]\d+i', Number), + # float_lit + (r'\d+(\.\d+[eE][+\-]?\d+|' + r'\.\d*|[eE][+\-]?\d+)', Number.Float), + (r'\.\d+([eE][+\-]?\d+)?', Number.Float), + # int_lit + # -- octal_lit + (r'0[0-7]+', Number.Oct), + # -- hex_lit + (r'0[xX][0-9a-fA-F]+', Number.Hex), + # -- decimal_lit + (r'(0|[1-9][0-9]*)', Number.Integer), + # char_lit + (r"""'(\\['"\\abfnrtv]|\\x[0-9a-fA-F]{2}|\\[0-7]{1,3}""" + r"""|\\u[0-9a-fA-F]{4}|\\U[0-9a-fA-F]{8}|[^\\])'""", + String.Char), + # StringLiteral + # -- raw_string_lit + (r'`[^`]*`', String), + # -- interpreted_string_lit + (r'"(\\\\|\\"|[^"])*"', String), + # Tokens + (r'(<<=|>>=|<<|>>|<=|>=|&\^=|&\^|\+=|-=|\*=|/=|%=|&=|\|=|&&|\|\|' + r'|<-|\+\+|--|==|!=|:=|\.\.\.|[+\-*/%&])', Operator), + (r'[|^<>=!()\[\]{}.,;:]', Punctuation), + # identifier + (r'[^\W\d]\w*', Name.Other), + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/grammar_notation.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/grammar_notation.py new file mode 100644 index 0000000000000000000000000000000000000000..076249d3df6c4f81a38e8c76172d1589d5e35840 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/grammar_notation.py @@ -0,0 +1,213 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.grammar_notation + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for grammer notations like BNF. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, bygroups, include, this, using, words +from pygments.token import Comment, Keyword, Literal, Name, Number, \ + Operator, Punctuation, String, Text + +__all__ = ['BnfLexer', 'AbnfLexer', 'JsgfLexer'] + + +class BnfLexer(RegexLexer): + """ + This lexer is for grammer notations which are similar to + original BNF. + + In order to maximize a number of targets of this lexer, + let's decide some designs: + + * We don't distinguish `Terminal Symbol`. + + * We do assume that `NonTerminal Symbol` are always enclosed + with arrow brackets. + + * We do assume that `NonTerminal Symbol` may include + any printable characters except arrow brackets and ASCII 0x20. + This assumption is for `RBNF `_. + + * We do assume that target notation doesn't support comment. + + * We don't distinguish any operators and punctuation except + `::=`. + + Though these desision making might cause too minimal highlighting + and you might be disappointed, but it is reasonable for us. + + .. versionadded:: 2.1 + """ + + name = 'BNF' + aliases = ['bnf'] + filenames = ['*.bnf'] + mimetypes = ['text/x-bnf'] + + tokens = { + 'root': [ + (r'(<)([ -;=?-~]+)(>)', + bygroups(Punctuation, Name.Class, Punctuation)), + + # an only operator + (r'::=', Operator), + + # fallback + (r'[^<>:]+', Text), # for performance + (r'.', Text), + ], + } + + +class AbnfLexer(RegexLexer): + """ + Lexer for `IETF 7405 ABNF + `_ + (Updates `5234 `_) + grammars. + + .. versionadded:: 2.1 + """ + + name = 'ABNF' + aliases = ['abnf'] + filenames = ['*.abnf'] + mimetypes = ['text/x-abnf'] + + _core_rules = ( + 'ALPHA', 'BIT', 'CHAR', 'CR', 'CRLF', 'CTL', 'DIGIT', + 'DQUOTE', 'HEXDIG', 'HTAB', 'LF', 'LWSP', 'OCTET', + 'SP', 'VCHAR', 'WSP') + + tokens = { + 'root': [ + # comment + (r';.*$', Comment.Single), + + # quoted + # double quote itself in this state, it is as '%x22'. + (r'(%[si])?"[^"]*"', Literal), + + # binary (but i have never seen...) + (r'%b[01]+\-[01]+\b', Literal), # range + (r'%b[01]+(\.[01]+)*\b', Literal), # concat + + # decimal + (r'%d[0-9]+\-[0-9]+\b', Literal), # range + (r'%d[0-9]+(\.[0-9]+)*\b', Literal), # concat + + # hexadecimal + (r'%x[0-9a-fA-F]+\-[0-9a-fA-F]+\b', Literal), # range + (r'%x[0-9a-fA-F]+(\.[0-9a-fA-F]+)*\b', Literal), # concat + + # repetition (*element) including nRule + (r'\b[0-9]+\*[0-9]+', Operator), + (r'\b[0-9]+\*', Operator), + (r'\b[0-9]+', Operator), + (r'\*', Operator), + + # Strictly speaking, these are not keyword but + # are called `Core Rule'. + (words(_core_rules, suffix=r'\b'), Keyword), + + # nonterminals (ALPHA *(ALPHA / DIGIT / "-")) + (r'[a-zA-Z][a-zA-Z0-9-]+\b', Name.Class), + + # operators + (r'(=/|=|/)', Operator), + + # punctuation + (r'[\[\]()]', Punctuation), + + # fallback + (r'\s+', Text), + (r'.', Text), + ], + } + + +class JsgfLexer(RegexLexer): + """ + For `JSpeech Grammar Format `_ + grammars. + + .. versionadded:: 2.2 + """ + name = 'JSGF' + aliases = ['jsgf'] + filenames = ['*.jsgf'] + mimetypes = ['application/jsgf', 'application/x-jsgf', 'text/jsgf'] + + flags = re.MULTILINE | re.UNICODE + + tokens = { + 'root': [ + include('comments'), + include('non-comments'), + ], + 'comments': [ + (r'/\*\*(?!/)', Comment.Multiline, 'documentation comment'), + (r'/\*[\w\W]*?\*/', Comment.Multiline), + (r'//.*', Comment.Single), + ], + 'non-comments': [ + ('\A#JSGF[^;]*', Comment.Preproc), + (r'\s+', Text), + (r';', Punctuation), + (r'[=|()\[\]*+]', Operator), + (r'/[^/]+/', Number.Float), + (r'"', String.Double, 'string'), + (r'\{', String.Other, 'tag'), + (words(('import', 'public'), suffix=r'\b'), Keyword.Reserved), + (r'grammar\b', Keyword.Reserved, 'grammar name'), + (r'(<)(NULL|VOID)(>)', + bygroups(Punctuation, Name.Builtin, Punctuation)), + (r'<', Punctuation, 'rulename'), + (r'\w+|[^\s;=|()\[\]*+/"{<\w]+', Text), + ], + 'string': [ + (r'"', String.Double, '#pop'), + (r'\\.', String.Escape), + (r'[^\\"]+', String.Double), + ], + 'tag': [ + (r'\}', String.Other, '#pop'), + (r'\\.', String.Escape), + (r'[^\\}]+', String.Other), + ], + 'grammar name': [ + (r';', Punctuation, '#pop'), + (r'\s+', Text), + (r'\.', Punctuation), + (r'[^;\s.]+', Name.Namespace), + ], + 'rulename': [ + (r'>', Punctuation, '#pop'), + (r'\*', Punctuation), + (r'\s+', Text), + (r'([^.>]+)(\s*)(\.)', bygroups(Name.Namespace, Text, Punctuation)), + (r'[^.>]+', Name.Constant), + ], + 'documentation comment': [ + (r'\*/', Comment.Multiline, '#pop'), + (r'(^\s*\*?\s*)(@(?:example|see)\s+)' + r'([\w\W]*?(?=(?:^\s*\*?\s*@|\*/)))', + bygroups(Comment.Multiline, Comment.Special, + using(this, state='example'))), + (r'(^\s*\*?\s*)(@\S*)', + bygroups(Comment.Multiline, Comment.Special)), + (r'[^*\n@]+|\w|\W', Comment.Multiline), + ], + 'example': [ + (r'\n\s*\*', Comment.Multiline), + include('non-comments'), + (r'.', Comment.Multiline), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/graph.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/graph.py new file mode 100644 index 0000000000000000000000000000000000000000..1a33824603a62ff243a7fec94c576dd447a75625 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/graph.py @@ -0,0 +1,80 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.graph + ~~~~~~~~~~~~~~~~~~~~~ + + Lexers for graph query languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, using, this +from pygments.token import Keyword, Punctuation, Comment, Operator, Name,\ + String, Number, Whitespace + + +__all__ = ['CypherLexer'] + + +class CypherLexer(RegexLexer): + """ + For `Cypher Query Language + `_ + + For the Cypher version in Neo4J 2.0 + + .. versionadded:: 2.0 + """ + name = 'Cypher' + aliases = ['cypher'] + filenames = ['*.cyp', '*.cypher'] + + flags = re.MULTILINE | re.IGNORECASE + + tokens = { + 'root': [ + include('comment'), + include('keywords'), + include('clauses'), + include('relations'), + include('strings'), + include('whitespace'), + include('barewords'), + ], + 'comment': [ + (r'^.*//.*\n', Comment.Single), + ], + 'keywords': [ + (r'(create|order|match|limit|set|skip|start|return|with|where|' + r'delete|foreach|not|by)\b', Keyword), + ], + 'clauses': [ + # TODO: many missing ones, see http://docs.neo4j.org/refcard/2.0/ + (r'(all|any|as|asc|create|create\s+unique|delete|' + r'desc|distinct|foreach|in|is\s+null|limit|match|none|' + r'order\s+by|return|set|skip|single|start|union|where|with)\b', + Keyword), + ], + 'relations': [ + (r'(-\[)(.*?)(\]->)', bygroups(Operator, using(this), Operator)), + (r'(<-\[)(.*?)(\]-)', bygroups(Operator, using(this), Operator)), + (r'(-\[)(.*?)(\]-)', bygroups(Operator, using(this), Operator)), + (r'-->|<--|\[|\]', Operator), + (r'<|>|<>|=|<=|=>|\(|\)|\||:|,|;', Punctuation), + (r'[.*{}]', Punctuation), + ], + 'strings': [ + (r'"(?:\\[tbnrf\'"\\]|[^\\"])*"', String), + (r'`(?:``|[^`])+`', Name.Variable), + ], + 'whitespace': [ + (r'\s+', Whitespace), + ], + 'barewords': [ + (r'[a-z]\w*', Name), + (r'\d+', Number), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/graphics.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/graphics.py new file mode 100644 index 0000000000000000000000000000000000000000..c8af9f9916eb453e44d6ff1e950bf38c6ee85778 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/graphics.py @@ -0,0 +1,553 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.graphics + ~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for computer graphics and plotting related languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, words, include, bygroups, using, \ + this, default +from pygments.token import Text, Comment, Operator, Keyword, Name, \ + Number, Punctuation, String + +__all__ = ['GLShaderLexer', 'PostScriptLexer', 'AsymptoteLexer', 'GnuplotLexer', + 'PovrayLexer'] + + +class GLShaderLexer(RegexLexer): + """ + GLSL (OpenGL Shader) lexer. + + .. versionadded:: 1.1 + """ + name = 'GLSL' + aliases = ['glsl'] + filenames = ['*.vert', '*.frag', '*.geo'] + mimetypes = ['text/x-glslsrc'] + + tokens = { + 'root': [ + (r'^#.*', Comment.Preproc), + (r'//.*', Comment.Single), + (r'/(\\\n)?[*](.|\n)*?[*](\\\n)?/', Comment.Multiline), + (r'\+|-|~|!=?|\*|/|%|<<|>>|<=?|>=?|==?|&&?|\^|\|\|?', + Operator), + (r'[?:]', Operator), # quick hack for ternary + (r'\bdefined\b', Operator), + (r'[;{}(),\[\]]', Punctuation), + # FIXME when e is present, no decimal point needed + (r'[+-]?\d*\.\d+([eE][-+]?\d+)?', Number.Float), + (r'[+-]?\d+\.\d*([eE][-+]?\d+)?', Number.Float), + (r'0[xX][0-9a-fA-F]*', Number.Hex), + (r'0[0-7]*', Number.Oct), + (r'[1-9][0-9]*', Number.Integer), + (words(( + 'attribute', 'const', 'uniform', 'varying', 'centroid', 'break', + 'continue', 'do', 'for', 'while', 'if', 'else', 'in', 'out', + 'inout', 'float', 'int', 'void', 'bool', 'true', 'false', + 'invariant', 'discard', 'return', 'mat2', 'mat3' 'mat4', + 'mat2x2', 'mat3x2', 'mat4x2', 'mat2x3', 'mat3x3', 'mat4x3', + 'mat2x4', 'mat3x4', 'mat4x4', 'vec2', 'vec3', 'vec4', + 'ivec2', 'ivec3', 'ivec4', 'bvec2', 'bvec3', 'bvec4', + 'sampler1D', 'sampler2D', 'sampler3D' 'samplerCube', + 'sampler1DShadow', 'sampler2DShadow', 'struct'), + prefix=r'\b', suffix=r'\b'), + Keyword), + (words(( + 'asm', 'class', 'union', 'enum', 'typedef', 'template', 'this', + 'packed', 'goto', 'switch', 'default', 'inline', 'noinline', + 'volatile', 'public', 'static', 'extern', 'external', 'interface', + 'long', 'short', 'double', 'half', 'fixed', 'unsigned', 'lowp', + 'mediump', 'highp', 'precision', 'input', 'output', + 'hvec2', 'hvec3', 'hvec4', 'dvec2', 'dvec3', 'dvec4', + 'fvec2', 'fvec3', 'fvec4', 'sampler2DRect', 'sampler3DRect', + 'sampler2DRectShadow', 'sizeof', 'cast', 'namespace', 'using'), + prefix=r'\b', suffix=r'\b'), + Keyword), # future use + (r'[a-zA-Z_]\w*', Name), + (r'\.', Punctuation), + (r'\s+', Text), + ], + } + + +class PostScriptLexer(RegexLexer): + """ + Lexer for PostScript files. + + The PostScript Language Reference published by Adobe at + + is the authority for this. + + .. versionadded:: 1.4 + """ + name = 'PostScript' + aliases = ['postscript', 'postscr'] + filenames = ['*.ps', '*.eps'] + mimetypes = ['application/postscript'] + + delimiter = r'()<>\[\]{}/%\s' + delimiter_end = r'(?=[%s])' % delimiter + + valid_name_chars = r'[^%s]' % delimiter + valid_name = r"%s+%s" % (valid_name_chars, delimiter_end) + + tokens = { + 'root': [ + # All comment types + (r'^%!.+\n', Comment.Preproc), + (r'%%.*\n', Comment.Special), + (r'(^%.*\n){2,}', Comment.Multiline), + (r'%.*\n', Comment.Single), + + # String literals are awkward; enter separate state. + (r'\(', String, 'stringliteral'), + + (r'[{}<>\[\]]', Punctuation), + + # Numbers + (r'<[0-9A-Fa-f]+>' + delimiter_end, Number.Hex), + # Slight abuse: use Oct to signify any explicit base system + (r'[0-9]+\#(\-|\+)?([0-9]+\.?|[0-9]*\.[0-9]+|[0-9]+\.[0-9]*)' + r'((e|E)[0-9]+)?' + delimiter_end, Number.Oct), + (r'(\-|\+)?([0-9]+\.?|[0-9]*\.[0-9]+|[0-9]+\.[0-9]*)((e|E)[0-9]+)?' + + delimiter_end, Number.Float), + (r'(\-|\+)?[0-9]+' + delimiter_end, Number.Integer), + + # References + (r'\/%s' % valid_name, Name.Variable), + + # Names + (valid_name, Name.Function), # Anything else is executed + + # These keywords taken from + # + # Is there an authoritative list anywhere that doesn't involve + # trawling documentation? + + (r'(false|true)' + delimiter_end, Keyword.Constant), + + # Conditionals / flow control + (r'(eq|ne|g[et]|l[et]|and|or|not|if(?:else)?|for(?:all)?)' + + delimiter_end, Keyword.Reserved), + + (words(( + 'abs', 'add', 'aload', 'arc', 'arcn', 'array', 'atan', 'begin', + 'bind', 'ceiling', 'charpath', 'clip', 'closepath', 'concat', + 'concatmatrix', 'copy', 'cos', 'currentlinewidth', 'currentmatrix', + 'currentpoint', 'curveto', 'cvi', 'cvs', 'def', 'defaultmatrix', + 'dict', 'dictstackoverflow', 'div', 'dtransform', 'dup', 'end', + 'exch', 'exec', 'exit', 'exp', 'fill', 'findfont', 'floor', 'get', + 'getinterval', 'grestore', 'gsave', 'gt', 'identmatrix', 'idiv', + 'idtransform', 'index', 'invertmatrix', 'itransform', 'length', + 'lineto', 'ln', 'load', 'log', 'loop', 'matrix', 'mod', 'moveto', + 'mul', 'neg', 'newpath', 'pathforall', 'pathbbox', 'pop', 'print', + 'pstack', 'put', 'quit', 'rand', 'rangecheck', 'rcurveto', 'repeat', + 'restore', 'rlineto', 'rmoveto', 'roll', 'rotate', 'round', 'run', + 'save', 'scale', 'scalefont', 'setdash', 'setfont', 'setgray', + 'setlinecap', 'setlinejoin', 'setlinewidth', 'setmatrix', + 'setrgbcolor', 'shfill', 'show', 'showpage', 'sin', 'sqrt', + 'stack', 'stringwidth', 'stroke', 'strokepath', 'sub', 'syntaxerror', + 'transform', 'translate', 'truncate', 'typecheck', 'undefined', + 'undefinedfilename', 'undefinedresult'), suffix=delimiter_end), + Name.Builtin), + + (r'\s+', Text), + ], + + 'stringliteral': [ + (r'[^()\\]+', String), + (r'\\', String.Escape, 'escape'), + (r'\(', String, '#push'), + (r'\)', String, '#pop'), + ], + + 'escape': [ + (r'[0-8]{3}|n|r|t|b|f|\\|\(|\)', String.Escape, '#pop'), + default('#pop'), + ], + } + + +class AsymptoteLexer(RegexLexer): + """ + For `Asymptote `_ source code. + + .. versionadded:: 1.2 + """ + name = 'Asymptote' + aliases = ['asy', 'asymptote'] + filenames = ['*.asy'] + mimetypes = ['text/x-asymptote'] + + #: optional Comment or Whitespace + _ws = r'(?:\s|//.*?\n|/\*.*?\*/)+' + + tokens = { + 'whitespace': [ + (r'\n', Text), + (r'\s+', Text), + (r'\\\n', Text), # line continuation + (r'//(\n|(.|\n)*?[^\\]\n)', Comment), + (r'/(\\\n)?\*(.|\n)*?\*(\\\n)?/', Comment), + ], + 'statements': [ + # simple string (TeX friendly) + (r'"(\\\\|\\"|[^"])*"', String), + # C style string (with character escapes) + (r"'", String, 'string'), + (r'(\d+\.\d*|\.\d+|\d+)[eE][+-]?\d+[lL]?', Number.Float), + (r'(\d+\.\d*|\.\d+|\d+[fF])[fF]?', Number.Float), + (r'0x[0-9a-fA-F]+[Ll]?', Number.Hex), + (r'0[0-7]+[Ll]?', Number.Oct), + (r'\d+[Ll]?', Number.Integer), + (r'[~!%^&*+=|?:<>/-]', Operator), + (r'[()\[\],.]', Punctuation), + (r'\b(case)(.+?)(:)', bygroups(Keyword, using(this), Text)), + (r'(and|controls|tension|atleast|curl|if|else|while|for|do|' + r'return|break|continue|struct|typedef|new|access|import|' + r'unravel|from|include|quote|static|public|private|restricted|' + r'this|explicit|true|false|null|cycle|newframe|operator)\b', Keyword), + # Since an asy-type-name can be also an asy-function-name, + # in the following we test if the string " [a-zA-Z]" follows + # the Keyword.Type. + # Of course it is not perfect ! + (r'(Braid|FitResult|Label|Legend|TreeNode|abscissa|arc|arrowhead|' + r'binarytree|binarytreeNode|block|bool|bool3|bounds|bqe|circle|' + r'conic|coord|coordsys|cputime|ellipse|file|filltype|frame|grid3|' + r'guide|horner|hsv|hyperbola|indexedTransform|int|inversion|key|' + r'light|line|linefit|marginT|marker|mass|object|pair|parabola|path|' + r'path3|pen|picture|point|position|projection|real|revolution|' + r'scaleT|scientific|segment|side|slice|splitface|string|surface|' + r'tensionSpecifier|ticklocate|ticksgridT|tickvalues|transform|' + r'transformation|tree|triangle|trilinear|triple|vector|' + r'vertex|void)(?=\s+[a-zA-Z])', Keyword.Type), + # Now the asy-type-name which are not asy-function-name + # except yours ! + # Perhaps useless + (r'(Braid|FitResult|TreeNode|abscissa|arrowhead|block|bool|bool3|' + r'bounds|coord|frame|guide|horner|int|linefit|marginT|pair|pen|' + r'picture|position|real|revolution|slice|splitface|ticksgridT|' + r'tickvalues|tree|triple|vertex|void)\b', Keyword.Type), + ('[a-zA-Z_]\w*:(?!:)', Name.Label), + ('[a-zA-Z_]\w*', Name), + ], + 'root': [ + include('whitespace'), + # functions + (r'((?:[\w*\s])+?(?:\s|\*))' # return arguments + r'([a-zA-Z_]\w*)' # method name + r'(\s*\([^;]*?\))' # signature + r'(' + _ws + r')(\{)', + bygroups(using(this), Name.Function, using(this), using(this), + Punctuation), + 'function'), + # function declarations + (r'((?:[\w*\s])+?(?:\s|\*))' # return arguments + r'([a-zA-Z_]\w*)' # method name + r'(\s*\([^;]*?\))' # signature + r'(' + _ws + r')(;)', + bygroups(using(this), Name.Function, using(this), using(this), + Punctuation)), + default('statement'), + ], + 'statement': [ + include('whitespace'), + include('statements'), + ('[{}]', Punctuation), + (';', Punctuation, '#pop'), + ], + 'function': [ + include('whitespace'), + include('statements'), + (';', Punctuation), + (r'\{', Punctuation, '#push'), + (r'\}', Punctuation, '#pop'), + ], + 'string': [ + (r"'", String, '#pop'), + (r'\\([\\abfnrtv"\'?]|x[a-fA-F0-9]{2,4}|[0-7]{1,3})', String.Escape), + (r'\n', String), + (r"[^\\'\n]+", String), # all other characters + (r'\\\n', String), + (r'\\n', String), # line continuation + (r'\\', String), # stray backslash + ], + } + + def get_tokens_unprocessed(self, text): + from pygments.lexers._asy_builtins import ASYFUNCNAME, ASYVARNAME + for index, token, value in \ + RegexLexer.get_tokens_unprocessed(self, text): + if token is Name and value in ASYFUNCNAME: + token = Name.Function + elif token is Name and value in ASYVARNAME: + token = Name.Variable + yield index, token, value + + +def _shortened(word): + dpos = word.find('$') + return '|'.join(word[:dpos] + word[dpos+1:i] + r'\b' + for i in range(len(word), dpos, -1)) + + +def _shortened_many(*words): + return '|'.join(map(_shortened, words)) + + +class GnuplotLexer(RegexLexer): + """ + For `Gnuplot `_ plotting scripts. + + .. versionadded:: 0.11 + """ + + name = 'Gnuplot' + aliases = ['gnuplot'] + filenames = ['*.plot', '*.plt'] + mimetypes = ['text/x-gnuplot'] + + tokens = { + 'root': [ + include('whitespace'), + (_shortened('bi$nd'), Keyword, 'bind'), + (_shortened_many('ex$it', 'q$uit'), Keyword, 'quit'), + (_shortened('f$it'), Keyword, 'fit'), + (r'(if)(\s*)(\()', bygroups(Keyword, Text, Punctuation), 'if'), + (r'else\b', Keyword), + (_shortened('pa$use'), Keyword, 'pause'), + (_shortened_many('p$lot', 'rep$lot', 'sp$lot'), Keyword, 'plot'), + (_shortened('sa$ve'), Keyword, 'save'), + (_shortened('se$t'), Keyword, ('genericargs', 'optionarg')), + (_shortened_many('sh$ow', 'uns$et'), + Keyword, ('noargs', 'optionarg')), + (_shortened_many('low$er', 'ra$ise', 'ca$ll', 'cd$', 'cl$ear', + 'h$elp', '\\?$', 'hi$story', 'l$oad', 'pr$int', + 'pwd$', 're$read', 'res$et', 'scr$eendump', + 'she$ll', 'sy$stem', 'up$date'), + Keyword, 'genericargs'), + (_shortened_many('pwd$', 're$read', 'res$et', 'scr$eendump', + 'she$ll', 'test$'), + Keyword, 'noargs'), + ('([a-zA-Z_]\w*)(\s*)(=)', + bygroups(Name.Variable, Text, Operator), 'genericargs'), + ('([a-zA-Z_]\w*)(\s*\(.*?\)\s*)(=)', + bygroups(Name.Function, Text, Operator), 'genericargs'), + (r'@[a-zA-Z_]\w*', Name.Constant), # macros + (r';', Keyword), + ], + 'comment': [ + (r'[^\\\n]', Comment), + (r'\\\n', Comment), + (r'\\', Comment), + # don't add the newline to the Comment token + default('#pop'), + ], + 'whitespace': [ + ('#', Comment, 'comment'), + (r'[ \t\v\f]+', Text), + ], + 'noargs': [ + include('whitespace'), + # semicolon and newline end the argument list + (r';', Punctuation, '#pop'), + (r'\n', Text, '#pop'), + ], + 'dqstring': [ + (r'"', String, '#pop'), + (r'\\([\\abfnrtv"\']|x[a-fA-F0-9]{2,4}|[0-7]{1,3})', String.Escape), + (r'[^\\"\n]+', String), # all other characters + (r'\\\n', String), # line continuation + (r'\\', String), # stray backslash + (r'\n', String, '#pop'), # newline ends the string too + ], + 'sqstring': [ + (r"''", String), # escaped single quote + (r"'", String, '#pop'), + (r"[^\\'\n]+", String), # all other characters + (r'\\\n', String), # line continuation + (r'\\', String), # normal backslash + (r'\n', String, '#pop'), # newline ends the string too + ], + 'genericargs': [ + include('noargs'), + (r'"', String, 'dqstring'), + (r"'", String, 'sqstring'), + (r'(\d+\.\d*|\.\d+|\d+)[eE][+-]?\d+', Number.Float), + (r'(\d+\.\d*|\.\d+)', Number.Float), + (r'-?\d+', Number.Integer), + ('[,.~!%^&*+=|?:<>/-]', Operator), + ('[{}()\[\]]', Punctuation), + (r'(eq|ne)\b', Operator.Word), + (r'([a-zA-Z_]\w*)(\s*)(\()', + bygroups(Name.Function, Text, Punctuation)), + (r'[a-zA-Z_]\w*', Name), + (r'@[a-zA-Z_]\w*', Name.Constant), # macros + (r'\\\n', Text), + ], + 'optionarg': [ + include('whitespace'), + (_shortened_many( + "a$ll", "an$gles", "ar$row", "au$toscale", "b$ars", "bor$der", + "box$width", "cl$abel", "c$lip", "cn$trparam", "co$ntour", "da$ta", + "data$file", "dg$rid3d", "du$mmy", "enc$oding", "dec$imalsign", + "fit$", "font$path", "fo$rmat", "fu$nction", "fu$nctions", "g$rid", + "hid$den3d", "his$torysize", "is$osamples", "k$ey", "keyt$itle", + "la$bel", "li$nestyle", "ls$", "loa$dpath", "loc$ale", "log$scale", + "mac$ros", "map$ping", "map$ping3d", "mar$gin", "lmar$gin", + "rmar$gin", "tmar$gin", "bmar$gin", "mo$use", "multi$plot", + "mxt$ics", "nomxt$ics", "mx2t$ics", "nomx2t$ics", "myt$ics", + "nomyt$ics", "my2t$ics", "nomy2t$ics", "mzt$ics", "nomzt$ics", + "mcbt$ics", "nomcbt$ics", "of$fsets", "or$igin", "o$utput", + "pa$rametric", "pm$3d", "pal$ette", "colorb$ox", "p$lot", + "poi$ntsize", "pol$ar", "pr$int", "obj$ect", "sa$mples", "si$ze", + "st$yle", "su$rface", "table$", "t$erminal", "termo$ptions", "ti$cs", + "ticsc$ale", "ticsl$evel", "timef$mt", "tim$estamp", "tit$le", + "v$ariables", "ve$rsion", "vi$ew", "xyp$lane", "xda$ta", "x2da$ta", + "yda$ta", "y2da$ta", "zda$ta", "cbda$ta", "xl$abel", "x2l$abel", + "yl$abel", "y2l$abel", "zl$abel", "cbl$abel", "xti$cs", "noxti$cs", + "x2ti$cs", "nox2ti$cs", "yti$cs", "noyti$cs", "y2ti$cs", "noy2ti$cs", + "zti$cs", "nozti$cs", "cbti$cs", "nocbti$cs", "xdti$cs", "noxdti$cs", + "x2dti$cs", "nox2dti$cs", "ydti$cs", "noydti$cs", "y2dti$cs", + "noy2dti$cs", "zdti$cs", "nozdti$cs", "cbdti$cs", "nocbdti$cs", + "xmti$cs", "noxmti$cs", "x2mti$cs", "nox2mti$cs", "ymti$cs", + "noymti$cs", "y2mti$cs", "noy2mti$cs", "zmti$cs", "nozmti$cs", + "cbmti$cs", "nocbmti$cs", "xr$ange", "x2r$ange", "yr$ange", + "y2r$ange", "zr$ange", "cbr$ange", "rr$ange", "tr$ange", "ur$ange", + "vr$ange", "xzeroa$xis", "x2zeroa$xis", "yzeroa$xis", "y2zeroa$xis", + "zzeroa$xis", "zeroa$xis", "z$ero"), Name.Builtin, '#pop'), + ], + 'bind': [ + ('!', Keyword, '#pop'), + (_shortened('all$windows'), Name.Builtin), + include('genericargs'), + ], + 'quit': [ + (r'gnuplot\b', Keyword), + include('noargs'), + ], + 'fit': [ + (r'via\b', Name.Builtin), + include('plot'), + ], + 'if': [ + (r'\)', Punctuation, '#pop'), + include('genericargs'), + ], + 'pause': [ + (r'(mouse|any|button1|button2|button3)\b', Name.Builtin), + (_shortened('key$press'), Name.Builtin), + include('genericargs'), + ], + 'plot': [ + (_shortened_many('ax$es', 'axi$s', 'bin$ary', 'ev$ery', 'i$ndex', + 'mat$rix', 's$mooth', 'thru$', 't$itle', + 'not$itle', 'u$sing', 'w$ith'), + Name.Builtin), + include('genericargs'), + ], + 'save': [ + (_shortened_many('f$unctions', 's$et', 't$erminal', 'v$ariables'), + Name.Builtin), + include('genericargs'), + ], + } + + +class PovrayLexer(RegexLexer): + """ + For `Persistence of Vision Raytracer `_ files. + + .. versionadded:: 0.11 + """ + name = 'POVRay' + aliases = ['pov'] + filenames = ['*.pov', '*.inc'] + mimetypes = ['text/x-povray'] + + tokens = { + 'root': [ + (r'/\*[\w\W]*?\*/', Comment.Multiline), + (r'//.*\n', Comment.Single), + (r'(?s)"(?:\\.|[^"\\])+"', String.Double), + (words(( + 'break', 'case', 'debug', 'declare', 'default', 'define', 'else', + 'elseif', 'end', 'error', 'fclose', 'fopen', 'for', 'if', 'ifdef', + 'ifndef', 'include', 'local', 'macro', 'range', 'read', 'render', + 'statistics', 'switch', 'undef', 'version', 'warning', 'while', + 'write'), prefix=r'#', suffix=r'\b'), + Comment.Preproc), + (words(( + 'aa_level', 'aa_threshold', 'abs', 'acos', 'acosh', 'adaptive', 'adc_bailout', + 'agate', 'agate_turb', 'all', 'alpha', 'ambient', 'ambient_light', 'angle', + 'aperture', 'arc_angle', 'area_light', 'asc', 'asin', 'asinh', 'assumed_gamma', + 'atan', 'atan2', 'atanh', 'atmosphere', 'atmospheric_attenuation', + 'attenuating', 'average', 'background', 'black_hole', 'blue', 'blur_samples', + 'bounded_by', 'box_mapping', 'bozo', 'break', 'brick', 'brick_size', + 'brightness', 'brilliance', 'bumps', 'bumpy1', 'bumpy2', 'bumpy3', 'bump_map', + 'bump_size', 'case', 'caustics', 'ceil', 'checker', 'chr', 'clipped_by', 'clock', + 'color', 'color_map', 'colour', 'colour_map', 'component', 'composite', 'concat', + 'confidence', 'conic_sweep', 'constant', 'control0', 'control1', 'cos', 'cosh', + 'count', 'crackle', 'crand', 'cube', 'cubic_spline', 'cylindrical_mapping', + 'debug', 'declare', 'default', 'degrees', 'dents', 'diffuse', 'direction', + 'distance', 'distance_maximum', 'div', 'dust', 'dust_type', 'eccentricity', + 'else', 'emitting', 'end', 'error', 'error_bound', 'exp', 'exponent', + 'fade_distance', 'fade_power', 'falloff', 'falloff_angle', 'false', + 'file_exists', 'filter', 'finish', 'fisheye', 'flatness', 'flip', 'floor', + 'focal_point', 'fog', 'fog_alt', 'fog_offset', 'fog_type', 'frequency', 'gif', + 'global_settings', 'glowing', 'gradient', 'granite', 'gray_threshold', + 'green', 'halo', 'hexagon', 'hf_gray_16', 'hierarchy', 'hollow', 'hypercomplex', + 'if', 'ifdef', 'iff', 'image_map', 'incidence', 'include', 'int', 'interpolate', + 'inverse', 'ior', 'irid', 'irid_wavelength', 'jitter', 'lambda', 'leopard', + 'linear', 'linear_spline', 'linear_sweep', 'location', 'log', 'looks_like', + 'look_at', 'low_error_factor', 'mandel', 'map_type', 'marble', 'material_map', + 'matrix', 'max', 'max_intersections', 'max_iteration', 'max_trace_level', + 'max_value', 'metallic', 'min', 'minimum_reuse', 'mod', 'mortar', + 'nearest_count', 'no', 'normal', 'normal_map', 'no_shadow', 'number_of_waves', + 'octaves', 'off', 'offset', 'omega', 'omnimax', 'on', 'once', 'onion', 'open', + 'orthographic', 'panoramic', 'pattern1', 'pattern2', 'pattern3', + 'perspective', 'pgm', 'phase', 'phong', 'phong_size', 'pi', 'pigment', + 'pigment_map', 'planar_mapping', 'png', 'point_at', 'pot', 'pow', 'ppm', + 'precision', 'pwr', 'quadratic_spline', 'quaternion', 'quick_color', + 'quick_colour', 'quilted', 'radial', 'radians', 'radiosity', 'radius', 'rainbow', + 'ramp_wave', 'rand', 'range', 'reciprocal', 'recursion_limit', 'red', + 'reflection', 'refraction', 'render', 'repeat', 'rgb', 'rgbf', 'rgbft', 'rgbt', + 'right', 'ripples', 'rotate', 'roughness', 'samples', 'scale', 'scallop_wave', + 'scattering', 'seed', 'shadowless', 'sin', 'sine_wave', 'sinh', 'sky', 'sky_sphere', + 'slice', 'slope_map', 'smooth', 'specular', 'spherical_mapping', 'spiral', + 'spiral1', 'spiral2', 'spotlight', 'spotted', 'sqr', 'sqrt', 'statistics', 'str', + 'strcmp', 'strength', 'strlen', 'strlwr', 'strupr', 'sturm', 'substr', 'switch', 'sys', + 't', 'tan', 'tanh', 'test_camera_1', 'test_camera_2', 'test_camera_3', + 'test_camera_4', 'texture', 'texture_map', 'tga', 'thickness', 'threshold', + 'tightness', 'tile2', 'tiles', 'track', 'transform', 'translate', 'transmit', + 'triangle_wave', 'true', 'ttf', 'turbulence', 'turb_depth', 'type', + 'ultra_wide_angle', 'up', 'use_color', 'use_colour', 'use_index', 'u_steps', + 'val', 'variance', 'vaxis_rotate', 'vcross', 'vdot', 'version', 'vlength', + 'vnormalize', 'volume_object', 'volume_rendered', 'vol_with_light', + 'vrotate', 'v_steps', 'warning', 'warp', 'water_level', 'waves', 'while', 'width', + 'wood', 'wrinkles', 'yes'), prefix=r'\b', suffix=r'\b'), + Keyword), + (words(( + 'bicubic_patch', 'blob', 'box', 'camera', 'cone', 'cubic', 'cylinder', 'difference', + 'disc', 'height_field', 'intersection', 'julia_fractal', 'lathe', + 'light_source', 'merge', 'mesh', 'object', 'plane', 'poly', 'polygon', 'prism', + 'quadric', 'quartic', 'smooth_triangle', 'sor', 'sphere', 'superellipsoid', + 'text', 'torus', 'triangle', 'union'), suffix=r'\b'), + Name.Builtin), + # TODO: <=, etc + (r'[\[\](){}<>;,]', Punctuation), + (r'[-+*/=]', Operator), + (r'\b(x|y|z|u|v)\b', Name.Builtin.Pseudo), + (r'[a-zA-Z_]\w*', Name), + (r'[0-9]+\.[0-9]*', Number.Float), + (r'\.[0-9]+', Number.Float), + (r'[0-9]+', Number.Integer), + (r'"(\\\\|\\"|[^"])*"', String), + (r'\s+', Text), + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/haskell.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/haskell.py new file mode 100644 index 0000000000000000000000000000000000000000..1a2f221771ff1b30867835352a207e9f01e1e3bd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/haskell.py @@ -0,0 +1,843 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.haskell + ~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Haskell and related languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, bygroups, do_insertions, \ + default, include +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Generic +from pygments import unistring as uni + +__all__ = ['HaskellLexer', 'IdrisLexer', 'AgdaLexer', 'CryptolLexer', + 'LiterateHaskellLexer', 'LiterateIdrisLexer', 'LiterateAgdaLexer', + 'LiterateCryptolLexer', 'KokaLexer'] + + +line_re = re.compile('.*?\n') + + +class HaskellLexer(RegexLexer): + """ + A Haskell lexer based on the lexemes defined in the Haskell 98 Report. + + .. versionadded:: 0.8 + """ + name = 'Haskell' + aliases = ['haskell', 'hs'] + filenames = ['*.hs'] + mimetypes = ['text/x-haskell'] + + flags = re.MULTILINE | re.UNICODE + + reserved = ('case', 'class', 'data', 'default', 'deriving', 'do', 'else', + 'family', 'if', 'in', 'infix[lr]?', 'instance', + 'let', 'newtype', 'of', 'then', 'type', 'where', '_') + ascii = ('NUL', 'SOH', '[SE]TX', 'EOT', 'ENQ', 'ACK', + 'BEL', 'BS', 'HT', 'LF', 'VT', 'FF', 'CR', 'S[OI]', 'DLE', + 'DC[1-4]', 'NAK', 'SYN', 'ETB', 'CAN', + 'EM', 'SUB', 'ESC', '[FGRU]S', 'SP', 'DEL') + + tokens = { + 'root': [ + # Whitespace: + (r'\s+', Text), + # (r'--\s*|.*$', Comment.Doc), + (r'--(?![!#$%&*+./<=>?@^|_~:\\]).*?$', Comment.Single), + (r'\{-', Comment.Multiline, 'comment'), + # Lexemes: + # Identifiers + (r'\bimport\b', Keyword.Reserved, 'import'), + (r'\bmodule\b', Keyword.Reserved, 'module'), + (r'\berror\b', Name.Exception), + (r'\b(%s)(?!\')\b' % '|'.join(reserved), Keyword.Reserved), + (r"'[^\\]'", String.Char), # this has to come before the TH quote + (r'^[_' + uni.Ll + r'][\w\']*', Name.Function), + (r"'?[_" + uni.Ll + r"][\w']*", Name), + (r"('')?[" + uni.Lu + r"][\w\']*", Keyword.Type), + (r"(')[" + uni.Lu + r"][\w\']*", Keyword.Type), + (r"(')\[[^\]]*\]", Keyword.Type), # tuples and lists get special treatment in GHC + (r"(')\([^)]*\)", Keyword.Type), # .. + # Operators + (r'\\(?![:!#$%&*+.\\/<=>?@^|~-]+)', Name.Function), # lambda operator + (r'(<-|::|->|=>|=)(?![:!#$%&*+.\\/<=>?@^|~-]+)', Operator.Word), # specials + (r':[:!#$%&*+.\\/<=>?@^|~-]*', Keyword.Type), # Constructor operators + (r'[:!#$%&*+.\\/<=>?@^|~-]+', Operator), # Other operators + # Numbers + (r'\d+[eE][+-]?\d+', Number.Float), + (r'\d+\.\d+([eE][+-]?\d+)?', Number.Float), + (r'0[oO][0-7]+', Number.Oct), + (r'0[xX][\da-fA-F]+', Number.Hex), + (r'\d+', Number.Integer), + # Character/String Literals + (r"'", String.Char, 'character'), + (r'"', String, 'string'), + # Special + (r'\[\]', Keyword.Type), + (r'\(\)', Name.Builtin), + (r'[][(),;`{}]', Punctuation), + ], + 'import': [ + # Import statements + (r'\s+', Text), + (r'"', String, 'string'), + # after "funclist" state + (r'\)', Punctuation, '#pop'), + (r'qualified\b', Keyword), + # import X as Y + (r'([' + uni.Lu + r'][\w.]*)(\s+)(as)(\s+)([' + uni.Lu + r'][\w.]*)', + bygroups(Name.Namespace, Text, Keyword, Text, Name), '#pop'), + # import X hiding (functions) + (r'([' + uni.Lu + r'][\w.]*)(\s+)(hiding)(\s+)(\()', + bygroups(Name.Namespace, Text, Keyword, Text, Punctuation), 'funclist'), + # import X (functions) + (r'([' + uni.Lu + r'][\w.]*)(\s+)(\()', + bygroups(Name.Namespace, Text, Punctuation), 'funclist'), + # import X + (r'[\w.]+', Name.Namespace, '#pop'), + ], + 'module': [ + (r'\s+', Text), + (r'([' + uni.Lu + r'][\w.]*)(\s+)(\()', + bygroups(Name.Namespace, Text, Punctuation), 'funclist'), + (r'[' + uni.Lu + r'][\w.]*', Name.Namespace, '#pop'), + ], + 'funclist': [ + (r'\s+', Text), + (r'[' + uni.Lu + r']\w*', Keyword.Type), + (r'(_[\w\']+|[' + uni.Ll + r'][\w\']*)', Name.Function), + (r'--(?![!#$%&*+./<=>?@^|_~:\\]).*?$', Comment.Single), + (r'\{-', Comment.Multiline, 'comment'), + (r',', Punctuation), + (r'[:!#$%&*+.\\/<=>?@^|~-]+', Operator), + # (HACK, but it makes sense to push two instances, believe me) + (r'\(', Punctuation, ('funclist', 'funclist')), + (r'\)', Punctuation, '#pop:2'), + ], + # NOTE: the next four states are shared in the AgdaLexer; make sure + # any change is compatible with Agda as well or copy over and change + 'comment': [ + # Multiline Comments + (r'[^-{}]+', Comment.Multiline), + (r'\{-', Comment.Multiline, '#push'), + (r'-\}', Comment.Multiline, '#pop'), + (r'[-{}]', Comment.Multiline), + ], + 'character': [ + # Allows multi-chars, incorrectly. + (r"[^\\']'", String.Char, '#pop'), + (r"\\", String.Escape, 'escape'), + ("'", String.Char, '#pop'), + ], + 'string': [ + (r'[^\\"]+', String), + (r"\\", String.Escape, 'escape'), + ('"', String, '#pop'), + ], + 'escape': [ + (r'[abfnrtv"\'&\\]', String.Escape, '#pop'), + (r'\^[][' + uni.Lu + r'@^_]', String.Escape, '#pop'), + ('|'.join(ascii), String.Escape, '#pop'), + (r'o[0-7]+', String.Escape, '#pop'), + (r'x[\da-fA-F]+', String.Escape, '#pop'), + (r'\d+', String.Escape, '#pop'), + (r'\s+\\', String.Escape, '#pop'), + ], + } + + +class IdrisLexer(RegexLexer): + """ + A lexer for the dependently typed programming language Idris. + + Based on the Haskell and Agda Lexer. + + .. versionadded:: 2.0 + """ + name = 'Idris' + aliases = ['idris', 'idr'] + filenames = ['*.idr'] + mimetypes = ['text/x-idris'] + + reserved = ('case', 'class', 'data', 'default', 'using', 'do', 'else', + 'if', 'in', 'infix[lr]?', 'instance', 'rewrite', 'auto', + 'namespace', 'codata', 'mutual', 'private', 'public', 'abstract', + 'total', 'partial', + 'let', 'proof', 'of', 'then', 'static', 'where', '_', 'with', + 'pattern', 'term', 'syntax', 'prefix', + 'postulate', 'parameters', 'record', 'dsl', 'impossible', 'implicit', + 'tactics', 'intros', 'intro', 'compute', 'refine', 'exact', 'trivial') + + ascii = ('NUL', 'SOH', '[SE]TX', 'EOT', 'ENQ', 'ACK', + 'BEL', 'BS', 'HT', 'LF', 'VT', 'FF', 'CR', 'S[OI]', 'DLE', + 'DC[1-4]', 'NAK', 'SYN', 'ETB', 'CAN', + 'EM', 'SUB', 'ESC', '[FGRU]S', 'SP', 'DEL') + + directives = ('lib', 'link', 'flag', 'include', 'hide', 'freeze', 'access', + 'default', 'logging', 'dynamic', 'name', 'error_handlers', 'language') + + tokens = { + 'root': [ + # Comments + (r'^(\s*)(%%%s)' % '|'.join(directives), + bygroups(Text, Keyword.Reserved)), + (r'(\s*)(--(?![!#$%&*+./<=>?@^|_~:\\]).*?)$', bygroups(Text, Comment.Single)), + (r'(\s*)(\|{3}.*?)$', bygroups(Text, Comment.Single)), + (r'(\s*)(\{-)', bygroups(Text, Comment.Multiline), 'comment'), + # Declaration + (r'^(\s*)([^\s(){}]+)(\s*)(:)(\s*)', + bygroups(Text, Name.Function, Text, Operator.Word, Text)), + # Identifiers + (r'\b(%s)(?!\')\b' % '|'.join(reserved), Keyword.Reserved), + (r'(import|module)(\s+)', bygroups(Keyword.Reserved, Text), 'module'), + (r"('')?[A-Z][\w\']*", Keyword.Type), + (r'[a-z][\w\']*', Text), + # Special Symbols + (r'(<-|::|->|=>|=)', Operator.Word), # specials + (r'([(){}\[\]:!#$%&*+.\\/<=>?@^|~-]+)', Operator.Word), # specials + # Numbers + (r'\d+[eE][+-]?\d+', Number.Float), + (r'\d+\.\d+([eE][+-]?\d+)?', Number.Float), + (r'0[xX][\da-fA-F]+', Number.Hex), + (r'\d+', Number.Integer), + # Strings + (r"'", String.Char, 'character'), + (r'"', String, 'string'), + (r'[^\s(){}]+', Text), + (r'\s+?', Text), # Whitespace + ], + 'module': [ + (r'\s+', Text), + (r'([A-Z][\w.]*)(\s+)(\()', + bygroups(Name.Namespace, Text, Punctuation), 'funclist'), + (r'[A-Z][\w.]*', Name.Namespace, '#pop'), + ], + 'funclist': [ + (r'\s+', Text), + (r'[A-Z]\w*', Keyword.Type), + (r'(_[\w\']+|[a-z][\w\']*)', Name.Function), + (r'--.*$', Comment.Single), + (r'\{-', Comment.Multiline, 'comment'), + (r',', Punctuation), + (r'[:!#$%&*+.\\/<=>?@^|~-]+', Operator), + # (HACK, but it makes sense to push two instances, believe me) + (r'\(', Punctuation, ('funclist', 'funclist')), + (r'\)', Punctuation, '#pop:2'), + ], + # NOTE: the next four states are shared in the AgdaLexer; make sure + # any change is compatible with Agda as well or copy over and change + 'comment': [ + # Multiline Comments + (r'[^-{}]+', Comment.Multiline), + (r'\{-', Comment.Multiline, '#push'), + (r'-\}', Comment.Multiline, '#pop'), + (r'[-{}]', Comment.Multiline), + ], + 'character': [ + # Allows multi-chars, incorrectly. + (r"[^\\']", String.Char), + (r"\\", String.Escape, 'escape'), + ("'", String.Char, '#pop'), + ], + 'string': [ + (r'[^\\"]+', String), + (r"\\", String.Escape, 'escape'), + ('"', String, '#pop'), + ], + 'escape': [ + (r'[abfnrtv"\'&\\]', String.Escape, '#pop'), + (r'\^[][A-Z@^_]', String.Escape, '#pop'), + ('|'.join(ascii), String.Escape, '#pop'), + (r'o[0-7]+', String.Escape, '#pop'), + (r'x[\da-fA-F]+', String.Escape, '#pop'), + (r'\d+', String.Escape, '#pop'), + (r'\s+\\', String.Escape, '#pop') + ], + } + + +class AgdaLexer(RegexLexer): + """ + For the `Agda `_ + dependently typed functional programming language and proof assistant. + + .. versionadded:: 2.0 + """ + + name = 'Agda' + aliases = ['agda'] + filenames = ['*.agda'] + mimetypes = ['text/x-agda'] + + reserved = ['abstract', 'codata', 'coinductive', 'constructor', 'data', + 'field', 'forall', 'hiding', 'in', 'inductive', 'infix', + 'infixl', 'infixr', 'instance', 'let', 'mutual', 'open', + 'pattern', 'postulate', 'primitive', 'private', + 'quote', 'quoteGoal', 'quoteTerm', + 'record', 'renaming', 'rewrite', 'syntax', 'tactic', + 'unquote', 'unquoteDecl', 'using', 'where', 'with'] + + tokens = { + 'root': [ + # Declaration + (r'^(\s*)([^\s(){}]+)(\s*)(:)(\s*)', + bygroups(Text, Name.Function, Text, Operator.Word, Text)), + # Comments + (r'--(?![!#$%&*+./<=>?@^|_~:\\]).*?$', Comment.Single), + (r'\{-', Comment.Multiline, 'comment'), + # Holes + (r'\{!', Comment.Directive, 'hole'), + # Lexemes: + # Identifiers + (r'\b(%s)(?!\')\b' % '|'.join(reserved), Keyword.Reserved), + (r'(import|module)(\s+)', bygroups(Keyword.Reserved, Text), 'module'), + (r'\b(Set|Prop)\b', Keyword.Type), + # Special Symbols + (r'(\(|\)|\{|\})', Operator), + (u'(\\.{1,3}|\\||\u039B|\u2200|\u2192|:|=|->)', Operator.Word), + # Numbers + (r'\d+[eE][+-]?\d+', Number.Float), + (r'\d+\.\d+([eE][+-]?\d+)?', Number.Float), + (r'0[xX][\da-fA-F]+', Number.Hex), + (r'\d+', Number.Integer), + # Strings + (r"'", String.Char, 'character'), + (r'"', String, 'string'), + (r'[^\s(){}]+', Text), + (r'\s+?', Text), # Whitespace + ], + 'hole': [ + # Holes + (r'[^!{}]+', Comment.Directive), + (r'\{!', Comment.Directive, '#push'), + (r'!\}', Comment.Directive, '#pop'), + (r'[!{}]', Comment.Directive), + ], + 'module': [ + (r'\{-', Comment.Multiline, 'comment'), + (r'[a-zA-Z][\w.]*', Name, '#pop'), + (r'[\W0-9_]+', Text) + ], + 'comment': HaskellLexer.tokens['comment'], + 'character': HaskellLexer.tokens['character'], + 'string': HaskellLexer.tokens['string'], + 'escape': HaskellLexer.tokens['escape'] + } + + +class CryptolLexer(RegexLexer): + """ + FIXME: A Cryptol2 lexer based on the lexemes defined in the Haskell 98 Report. + + .. versionadded:: 2.0 + """ + name = 'Cryptol' + aliases = ['cryptol', 'cry'] + filenames = ['*.cry'] + mimetypes = ['text/x-cryptol'] + + reserved = ('Arith', 'Bit', 'Cmp', 'False', 'Inf', 'True', 'else', + 'export', 'extern', 'fin', 'if', 'import', 'inf', 'lg2', + 'max', 'min', 'module', 'newtype', 'pragma', 'property', + 'then', 'type', 'where', 'width') + ascii = ('NUL', 'SOH', '[SE]TX', 'EOT', 'ENQ', 'ACK', + 'BEL', 'BS', 'HT', 'LF', 'VT', 'FF', 'CR', 'S[OI]', 'DLE', + 'DC[1-4]', 'NAK', 'SYN', 'ETB', 'CAN', + 'EM', 'SUB', 'ESC', '[FGRU]S', 'SP', 'DEL') + + tokens = { + 'root': [ + # Whitespace: + (r'\s+', Text), + # (r'--\s*|.*$', Comment.Doc), + (r'//.*$', Comment.Single), + (r'/\*', Comment.Multiline, 'comment'), + # Lexemes: + # Identifiers + (r'\bimport\b', Keyword.Reserved, 'import'), + (r'\bmodule\b', Keyword.Reserved, 'module'), + (r'\berror\b', Name.Exception), + (r'\b(%s)(?!\')\b' % '|'.join(reserved), Keyword.Reserved), + (r'^[_a-z][\w\']*', Name.Function), + (r"'?[_a-z][\w']*", Name), + (r"('')?[A-Z][\w\']*", Keyword.Type), + # Operators + (r'\\(?![:!#$%&*+.\\/<=>?@^|~-]+)', Name.Function), # lambda operator + (r'(<-|::|->|=>|=)(?![:!#$%&*+.\\/<=>?@^|~-]+)', Operator.Word), # specials + (r':[:!#$%&*+.\\/<=>?@^|~-]*', Keyword.Type), # Constructor operators + (r'[:!#$%&*+.\\/<=>?@^|~-]+', Operator), # Other operators + # Numbers + (r'\d+[eE][+-]?\d+', Number.Float), + (r'\d+\.\d+([eE][+-]?\d+)?', Number.Float), + (r'0[oO][0-7]+', Number.Oct), + (r'0[xX][\da-fA-F]+', Number.Hex), + (r'\d+', Number.Integer), + # Character/String Literals + (r"'", String.Char, 'character'), + (r'"', String, 'string'), + # Special + (r'\[\]', Keyword.Type), + (r'\(\)', Name.Builtin), + (r'[][(),;`{}]', Punctuation), + ], + 'import': [ + # Import statements + (r'\s+', Text), + (r'"', String, 'string'), + # after "funclist" state + (r'\)', Punctuation, '#pop'), + (r'qualified\b', Keyword), + # import X as Y + (r'([A-Z][\w.]*)(\s+)(as)(\s+)([A-Z][\w.]*)', + bygroups(Name.Namespace, Text, Keyword, Text, Name), '#pop'), + # import X hiding (functions) + (r'([A-Z][\w.]*)(\s+)(hiding)(\s+)(\()', + bygroups(Name.Namespace, Text, Keyword, Text, Punctuation), 'funclist'), + # import X (functions) + (r'([A-Z][\w.]*)(\s+)(\()', + bygroups(Name.Namespace, Text, Punctuation), 'funclist'), + # import X + (r'[\w.]+', Name.Namespace, '#pop'), + ], + 'module': [ + (r'\s+', Text), + (r'([A-Z][\w.]*)(\s+)(\()', + bygroups(Name.Namespace, Text, Punctuation), 'funclist'), + (r'[A-Z][\w.]*', Name.Namespace, '#pop'), + ], + 'funclist': [ + (r'\s+', Text), + (r'[A-Z]\w*', Keyword.Type), + (r'(_[\w\']+|[a-z][\w\']*)', Name.Function), + # TODO: these don't match the comments in docs, remove. + #(r'--(?![!#$%&*+./<=>?@^|_~:\\]).*?$', Comment.Single), + #(r'{-', Comment.Multiline, 'comment'), + (r',', Punctuation), + (r'[:!#$%&*+.\\/<=>?@^|~-]+', Operator), + # (HACK, but it makes sense to push two instances, believe me) + (r'\(', Punctuation, ('funclist', 'funclist')), + (r'\)', Punctuation, '#pop:2'), + ], + 'comment': [ + # Multiline Comments + (r'[^/*]+', Comment.Multiline), + (r'/\*', Comment.Multiline, '#push'), + (r'\*/', Comment.Multiline, '#pop'), + (r'[*/]', Comment.Multiline), + ], + 'character': [ + # Allows multi-chars, incorrectly. + (r"[^\\']'", String.Char, '#pop'), + (r"\\", String.Escape, 'escape'), + ("'", String.Char, '#pop'), + ], + 'string': [ + (r'[^\\"]+', String), + (r"\\", String.Escape, 'escape'), + ('"', String, '#pop'), + ], + 'escape': [ + (r'[abfnrtv"\'&\\]', String.Escape, '#pop'), + (r'\^[][A-Z@^_]', String.Escape, '#pop'), + ('|'.join(ascii), String.Escape, '#pop'), + (r'o[0-7]+', String.Escape, '#pop'), + (r'x[\da-fA-F]+', String.Escape, '#pop'), + (r'\d+', String.Escape, '#pop'), + (r'\s+\\', String.Escape, '#pop'), + ], + } + + EXTRA_KEYWORDS = set(('join', 'split', 'reverse', 'transpose', 'width', + 'length', 'tail', '<<', '>>', '<<<', '>>>', 'const', + 'reg', 'par', 'seq', 'ASSERT', 'undefined', 'error', + 'trace')) + + def get_tokens_unprocessed(self, text): + stack = ['root'] + for index, token, value in \ + RegexLexer.get_tokens_unprocessed(self, text, stack): + if token is Name and value in self.EXTRA_KEYWORDS: + yield index, Name.Builtin, value + else: + yield index, token, value + + +class LiterateLexer(Lexer): + """ + Base class for lexers of literate file formats based on LaTeX or Bird-style + (prefixing each code line with ">"). + + Additional options accepted: + + `litstyle` + If given, must be ``"bird"`` or ``"latex"``. If not given, the style + is autodetected: if the first non-whitespace character in the source + is a backslash or percent character, LaTeX is assumed, else Bird. + """ + + bird_re = re.compile(r'(>[ \t]*)(.*\n)') + + def __init__(self, baselexer, **options): + self.baselexer = baselexer + Lexer.__init__(self, **options) + + def get_tokens_unprocessed(self, text): + style = self.options.get('litstyle') + if style is None: + style = (text.lstrip()[0:1] in '%\\') and 'latex' or 'bird' + + code = '' + insertions = [] + if style == 'bird': + # bird-style + for match in line_re.finditer(text): + line = match.group() + m = self.bird_re.match(line) + if m: + insertions.append((len(code), + [(0, Comment.Special, m.group(1))])) + code += m.group(2) + else: + insertions.append((len(code), [(0, Text, line)])) + else: + # latex-style + from pygments.lexers.markup import TexLexer + lxlexer = TexLexer(**self.options) + codelines = 0 + latex = '' + for match in line_re.finditer(text): + line = match.group() + if codelines: + if line.lstrip().startswith('\\end{code}'): + codelines = 0 + latex += line + else: + code += line + elif line.lstrip().startswith('\\begin{code}'): + codelines = 1 + latex += line + insertions.append((len(code), + list(lxlexer.get_tokens_unprocessed(latex)))) + latex = '' + else: + latex += line + insertions.append((len(code), + list(lxlexer.get_tokens_unprocessed(latex)))) + for item in do_insertions(insertions, self.baselexer.get_tokens_unprocessed(code)): + yield item + + +class LiterateHaskellLexer(LiterateLexer): + """ + For Literate Haskell (Bird-style or LaTeX) source. + + Additional options accepted: + + `litstyle` + If given, must be ``"bird"`` or ``"latex"``. If not given, the style + is autodetected: if the first non-whitespace character in the source + is a backslash or percent character, LaTeX is assumed, else Bird. + + .. versionadded:: 0.9 + """ + name = 'Literate Haskell' + aliases = ['lhs', 'literate-haskell', 'lhaskell'] + filenames = ['*.lhs'] + mimetypes = ['text/x-literate-haskell'] + + def __init__(self, **options): + hslexer = HaskellLexer(**options) + LiterateLexer.__init__(self, hslexer, **options) + + +class LiterateIdrisLexer(LiterateLexer): + """ + For Literate Idris (Bird-style or LaTeX) source. + + Additional options accepted: + + `litstyle` + If given, must be ``"bird"`` or ``"latex"``. If not given, the style + is autodetected: if the first non-whitespace character in the source + is a backslash or percent character, LaTeX is assumed, else Bird. + + .. versionadded:: 2.0 + """ + name = 'Literate Idris' + aliases = ['lidr', 'literate-idris', 'lidris'] + filenames = ['*.lidr'] + mimetypes = ['text/x-literate-idris'] + + def __init__(self, **options): + hslexer = IdrisLexer(**options) + LiterateLexer.__init__(self, hslexer, **options) + + +class LiterateAgdaLexer(LiterateLexer): + """ + For Literate Agda source. + + Additional options accepted: + + `litstyle` + If given, must be ``"bird"`` or ``"latex"``. If not given, the style + is autodetected: if the first non-whitespace character in the source + is a backslash or percent character, LaTeX is assumed, else Bird. + + .. versionadded:: 2.0 + """ + name = 'Literate Agda' + aliases = ['lagda', 'literate-agda'] + filenames = ['*.lagda'] + mimetypes = ['text/x-literate-agda'] + + def __init__(self, **options): + agdalexer = AgdaLexer(**options) + LiterateLexer.__init__(self, agdalexer, litstyle='latex', **options) + + +class LiterateCryptolLexer(LiterateLexer): + """ + For Literate Cryptol (Bird-style or LaTeX) source. + + Additional options accepted: + + `litstyle` + If given, must be ``"bird"`` or ``"latex"``. If not given, the style + is autodetected: if the first non-whitespace character in the source + is a backslash or percent character, LaTeX is assumed, else Bird. + + .. versionadded:: 2.0 + """ + name = 'Literate Cryptol' + aliases = ['lcry', 'literate-cryptol', 'lcryptol'] + filenames = ['*.lcry'] + mimetypes = ['text/x-literate-cryptol'] + + def __init__(self, **options): + crylexer = CryptolLexer(**options) + LiterateLexer.__init__(self, crylexer, **options) + + +class KokaLexer(RegexLexer): + """ + Lexer for the `Koka `_ + language. + + .. versionadded:: 1.6 + """ + + name = 'Koka' + aliases = ['koka'] + filenames = ['*.kk', '*.kki'] + mimetypes = ['text/x-koka'] + + keywords = [ + 'infix', 'infixr', 'infixl', + 'type', 'cotype', 'rectype', 'alias', + 'struct', 'con', + 'fun', 'function', 'val', 'var', + 'external', + 'if', 'then', 'else', 'elif', 'return', 'match', + 'private', 'public', 'private', + 'module', 'import', 'as', + 'include', 'inline', + 'rec', + 'try', 'yield', 'enum', + 'interface', 'instance', + ] + + # keywords that are followed by a type + typeStartKeywords = [ + 'type', 'cotype', 'rectype', 'alias', 'struct', 'enum', + ] + + # keywords valid in a type + typekeywords = [ + 'forall', 'exists', 'some', 'with', + ] + + # builtin names and special names + builtin = [ + 'for', 'while', 'repeat', + 'foreach', 'foreach-indexed', + 'error', 'catch', 'finally', + 'cs', 'js', 'file', 'ref', 'assigned', + ] + + # symbols that can be in an operator + symbols = r'[$%&*+@!/\\^~=.:\-?|<>]+' + + # symbol boundary: an operator keyword should not be followed by any of these + sboundary = '(?!'+symbols+')' + + # name boundary: a keyword should not be followed by any of these + boundary = '(?![\w/])' + + # koka token abstractions + tokenType = Name.Attribute + tokenTypeDef = Name.Class + tokenConstructor = Generic.Emph + + # main lexer + tokens = { + 'root': [ + include('whitespace'), + + # go into type mode + (r'::?' + sboundary, tokenType, 'type'), + (r'(alias)(\s+)([a-z]\w*)?', bygroups(Keyword, Text, tokenTypeDef), + 'alias-type'), + (r'(struct)(\s+)([a-z]\w*)?', bygroups(Keyword, Text, tokenTypeDef), + 'struct-type'), + ((r'(%s)' % '|'.join(typeStartKeywords)) + + r'(\s+)([a-z]\w*)?', bygroups(Keyword, Text, tokenTypeDef), + 'type'), + + # special sequences of tokens (we use ?: for non-capturing group as + # required by 'bygroups') + (r'(module)(\s+)(interface\s+)?((?:[a-z]\w*/)*[a-z]\w*)', + bygroups(Keyword, Text, Keyword, Name.Namespace)), + (r'(import)(\s+)((?:[a-z]\w*/)*[a-z]\w*)' + r'(?:(\s*)(=)(\s*)((?:qualified\s*)?)' + r'((?:[a-z]\w*/)*[a-z]\w*))?', + bygroups(Keyword, Text, Name.Namespace, Text, Keyword, Text, + Keyword, Name.Namespace)), + + (r'(^(?:(?:public|private)\s*)?(?:function|fun|val))' + r'(\s+)([a-z]\w*|\((?:' + symbols + r'|/)\))', + bygroups(Keyword, Text, Name.Function)), + (r'(^(?:(?:public|private)\s*)?external)(\s+)(inline\s+)?' + r'([a-z]\w*|\((?:' + symbols + r'|/)\))', + bygroups(Keyword, Text, Keyword, Name.Function)), + + # keywords + (r'(%s)' % '|'.join(typekeywords) + boundary, Keyword.Type), + (r'(%s)' % '|'.join(keywords) + boundary, Keyword), + (r'(%s)' % '|'.join(builtin) + boundary, Keyword.Pseudo), + (r'::?|:=|\->|[=.]' + sboundary, Keyword), + + # names + (r'((?:[a-z]\w*/)*)([A-Z]\w*)', + bygroups(Name.Namespace, tokenConstructor)), + (r'((?:[a-z]\w*/)*)([a-z]\w*)', bygroups(Name.Namespace, Name)), + (r'((?:[a-z]\w*/)*)(\((?:' + symbols + r'|/)\))', + bygroups(Name.Namespace, Name)), + (r'_\w*', Name.Variable), + + # literal string + (r'@"', String.Double, 'litstring'), + + # operators + (symbols + "|/(?![*/])", Operator), + (r'`', Operator), + (r'[{}()\[\];,]', Punctuation), + + # literals. No check for literal characters with len > 1 + (r'[0-9]+\.[0-9]+([eE][\-+]?[0-9]+)?', Number.Float), + (r'0[xX][0-9a-fA-F]+', Number.Hex), + (r'[0-9]+', Number.Integer), + + (r"'", String.Char, 'char'), + (r'"', String.Double, 'string'), + ], + + # type started by alias + 'alias-type': [ + (r'=', Keyword), + include('type') + ], + + # type started by struct + 'struct-type': [ + (r'(?=\((?!,*\)))', Punctuation, '#pop'), + include('type') + ], + + # type started by colon + 'type': [ + (r'[(\[<]', tokenType, 'type-nested'), + include('type-content') + ], + + # type nested in brackets: can contain parameters, comma etc. + 'type-nested': [ + (r'[)\]>]', tokenType, '#pop'), + (r'[(\[<]', tokenType, 'type-nested'), + (r',', tokenType), + (r'([a-z]\w*)(\s*)(:)(?!:)', + bygroups(Name, Text, tokenType)), # parameter name + include('type-content') + ], + + # shared contents of a type + 'type-content': [ + include('whitespace'), + + # keywords + (r'(%s)' % '|'.join(typekeywords) + boundary, Keyword), + (r'(?=((%s)' % '|'.join(keywords) + boundary + '))', + Keyword, '#pop'), # need to match because names overlap... + + # kinds + (r'[EPHVX]' + boundary, tokenType), + + # type names + (r'[a-z][0-9]*(?![\w/])', tokenType), + (r'_\w*', tokenType.Variable), # Generic.Emph + (r'((?:[a-z]\w*/)*)([A-Z]\w*)', + bygroups(Name.Namespace, tokenType)), + (r'((?:[a-z]\w*/)*)([a-z]\w+)', + bygroups(Name.Namespace, tokenType)), + + # type keyword operators + (r'::|->|[.:|]', tokenType), + + # catchall + default('#pop') + ], + + # comments and literals + 'whitespace': [ + (r'\n\s*#.*$', Comment.Preproc), + (r'\s+', Text), + (r'/\*', Comment.Multiline, 'comment'), + (r'//.*$', Comment.Single) + ], + 'comment': [ + (r'[^/*]+', Comment.Multiline), + (r'/\*', Comment.Multiline, '#push'), + (r'\*/', Comment.Multiline, '#pop'), + (r'[*/]', Comment.Multiline), + ], + 'litstring': [ + (r'[^"]+', String.Double), + (r'""', String.Escape), + (r'"', String.Double, '#pop'), + ], + 'string': [ + (r'[^\\"\n]+', String.Double), + include('escape-sequence'), + (r'["\n]', String.Double, '#pop'), + ], + 'char': [ + (r'[^\\\'\n]+', String.Char), + include('escape-sequence'), + (r'[\'\n]', String.Char, '#pop'), + ], + 'escape-sequence': [ + (r'\\[nrt\\"\']', String.Escape), + (r'\\x[0-9a-fA-F]{2}', String.Escape), + (r'\\u[0-9a-fA-F]{4}', String.Escape), + # Yes, \U literals are 6 hex digits. + (r'\\U[0-9a-fA-F]{6}', String.Escape) + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/haxe.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/haxe.py new file mode 100644 index 0000000000000000000000000000000000000000..6f5c3599c607c55c6b43a058179be99be4ebfb0a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/haxe.py @@ -0,0 +1,936 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.haxe + ~~~~~~~~~~~~~~~~~~~~ + + Lexers for Haxe and related stuff. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import ExtendedRegexLexer, RegexLexer, include, bygroups, \ + default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Generic, Whitespace + +__all__ = ['HaxeLexer', 'HxmlLexer'] + + +class HaxeLexer(ExtendedRegexLexer): + """ + For Haxe source code (http://haxe.org/). + + .. versionadded:: 1.3 + """ + + name = 'Haxe' + aliases = ['hx', 'haxe', 'hxsl'] + filenames = ['*.hx', '*.hxsl'] + mimetypes = ['text/haxe', 'text/x-haxe', 'text/x-hx'] + + # keywords extracted from lexer.mll in the haxe compiler source + keyword = (r'(?:function|class|static|var|if|else|while|do|for|' + r'break|return|continue|extends|implements|import|' + r'switch|case|default|public|private|try|untyped|' + r'catch|new|this|throw|extern|enum|in|interface|' + r'cast|override|dynamic|typedef|package|' + r'inline|using|null|true|false|abstract)\b') + + # idtype in lexer.mll + typeid = r'_*[A-Z]\w*' + + # combined ident and dollar and idtype + ident = r'(?:_*[a-z]\w*|_+[0-9]\w*|' + typeid + '|_+|\$\w+)' + + binop = (r'(?:%=|&=|\|=|\^=|\+=|\-=|\*=|/=|<<=|>\s*>\s*=|>\s*>\s*>\s*=|==|' + r'!=|<=|>\s*=|&&|\|\||<<|>>>|>\s*>|\.\.\.|<|>|%|&|\||\^|\+|\*|' + r'/|\-|=>|=)') + + # ident except keywords + ident_no_keyword = r'(?!' + keyword + ')' + ident + + flags = re.DOTALL | re.MULTILINE + + preproc_stack = [] + + def preproc_callback(self, match, ctx): + proc = match.group(2) + + if proc == 'if': + # store the current stack + self.preproc_stack.append(ctx.stack[:]) + elif proc in ['else', 'elseif']: + # restore the stack back to right before #if + if self.preproc_stack: + ctx.stack = self.preproc_stack[-1][:] + elif proc == 'end': + # remove the saved stack of previous #if + if self.preproc_stack: + self.preproc_stack.pop() + + # #if and #elseif should follow by an expr + if proc in ['if', 'elseif']: + ctx.stack.append('preproc-expr') + + # #error can be optionally follow by the error msg + if proc in ['error']: + ctx.stack.append('preproc-error') + + yield match.start(), Comment.Preproc, '#' + proc + ctx.pos = match.end() + + tokens = { + 'root': [ + include('spaces'), + include('meta'), + (r'(?:package)\b', Keyword.Namespace, ('semicolon', 'package')), + (r'(?:import)\b', Keyword.Namespace, ('semicolon', 'import')), + (r'(?:using)\b', Keyword.Namespace, ('semicolon', 'using')), + (r'(?:extern|private)\b', Keyword.Declaration), + (r'(?:abstract)\b', Keyword.Declaration, 'abstract'), + (r'(?:class|interface)\b', Keyword.Declaration, 'class'), + (r'(?:enum)\b', Keyword.Declaration, 'enum'), + (r'(?:typedef)\b', Keyword.Declaration, 'typedef'), + + # top-level expression + # although it is not supported in haxe, but it is common to write + # expression in web pages the positive lookahead here is to prevent + # an infinite loop at the EOF + (r'(?=.)', Text, 'expr-statement'), + ], + + # space/tab/comment/preproc + 'spaces': [ + (r'\s+', Text), + (r'//[^\n\r]*', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + (r'(#)(if|elseif|else|end|error)\b', preproc_callback), + ], + + 'string-single-interpol': [ + (r'\$\{', String.Interpol, ('string-interpol-close', 'expr')), + (r'\$\$', String.Escape), + (r'\$(?=' + ident + ')', String.Interpol, 'ident'), + include('string-single'), + ], + + 'string-single': [ + (r"'", String.Single, '#pop'), + (r'\\.', String.Escape), + (r'.', String.Single), + ], + + 'string-double': [ + (r'"', String.Double, '#pop'), + (r'\\.', String.Escape), + (r'.', String.Double), + ], + + 'string-interpol-close': [ + (r'\$'+ident, String.Interpol), + (r'\}', String.Interpol, '#pop'), + ], + + 'package': [ + include('spaces'), + (ident, Name.Namespace), + (r'\.', Punctuation, 'import-ident'), + default('#pop'), + ], + + 'import': [ + include('spaces'), + (ident, Name.Namespace), + (r'\*', Keyword), # wildcard import + (r'\.', Punctuation, 'import-ident'), + (r'in', Keyword.Namespace, 'ident'), + default('#pop'), + ], + + 'import-ident': [ + include('spaces'), + (r'\*', Keyword, '#pop'), # wildcard import + (ident, Name.Namespace, '#pop'), + ], + + 'using': [ + include('spaces'), + (ident, Name.Namespace), + (r'\.', Punctuation, 'import-ident'), + default('#pop'), + ], + + 'preproc-error': [ + (r'\s+', Comment.Preproc), + (r"'", String.Single, ('#pop', 'string-single')), + (r'"', String.Double, ('#pop', 'string-double')), + default('#pop'), + ], + + 'preproc-expr': [ + (r'\s+', Comment.Preproc), + (r'\!', Comment.Preproc), + (r'\(', Comment.Preproc, ('#pop', 'preproc-parenthesis')), + + (ident, Comment.Preproc, '#pop'), + + # Float + (r'\.[0-9]+', Number.Float), + (r'[0-9]+[eE][+\-]?[0-9]+', Number.Float), + (r'[0-9]+\.[0-9]*[eE][+\-]?[0-9]+', Number.Float), + (r'[0-9]+\.[0-9]+', Number.Float), + (r'[0-9]+\.(?!' + ident + '|\.\.)', Number.Float), + + # Int + (r'0x[0-9a-fA-F]+', Number.Hex), + (r'[0-9]+', Number.Integer), + + # String + (r"'", String.Single, ('#pop', 'string-single')), + (r'"', String.Double, ('#pop', 'string-double')), + ], + + 'preproc-parenthesis': [ + (r'\s+', Comment.Preproc), + (r'\)', Comment.Preproc, '#pop'), + default('preproc-expr-in-parenthesis'), + ], + + 'preproc-expr-chain': [ + (r'\s+', Comment.Preproc), + (binop, Comment.Preproc, ('#pop', 'preproc-expr-in-parenthesis')), + default('#pop'), + ], + + # same as 'preproc-expr' but able to chain 'preproc-expr-chain' + 'preproc-expr-in-parenthesis': [ + (r'\s+', Comment.Preproc), + (r'\!', Comment.Preproc), + (r'\(', Comment.Preproc, + ('#pop', 'preproc-expr-chain', 'preproc-parenthesis')), + + (ident, Comment.Preproc, ('#pop', 'preproc-expr-chain')), + + # Float + (r'\.[0-9]+', Number.Float, ('#pop', 'preproc-expr-chain')), + (r'[0-9]+[eE][+\-]?[0-9]+', Number.Float, ('#pop', 'preproc-expr-chain')), + (r'[0-9]+\.[0-9]*[eE][+\-]?[0-9]+', Number.Float, ('#pop', 'preproc-expr-chain')), + (r'[0-9]+\.[0-9]+', Number.Float, ('#pop', 'preproc-expr-chain')), + (r'[0-9]+\.(?!' + ident + '|\.\.)', Number.Float, ('#pop', 'preproc-expr-chain')), + + # Int + (r'0x[0-9a-fA-F]+', Number.Hex, ('#pop', 'preproc-expr-chain')), + (r'[0-9]+', Number.Integer, ('#pop', 'preproc-expr-chain')), + + # String + (r"'", String.Single, + ('#pop', 'preproc-expr-chain', 'string-single')), + (r'"', String.Double, + ('#pop', 'preproc-expr-chain', 'string-double')), + ], + + 'abstract': [ + include('spaces'), + default(('#pop', 'abstract-body', 'abstract-relation', + 'abstract-opaque', 'type-param-constraint', 'type-name')), + ], + + 'abstract-body': [ + include('spaces'), + (r'\{', Punctuation, ('#pop', 'class-body')), + ], + + 'abstract-opaque': [ + include('spaces'), + (r'\(', Punctuation, ('#pop', 'parenthesis-close', 'type')), + default('#pop'), + ], + + 'abstract-relation': [ + include('spaces'), + (r'(?:to|from)', Keyword.Declaration, 'type'), + (r',', Punctuation), + default('#pop'), + ], + + 'meta': [ + include('spaces'), + (r'@', Name.Decorator, ('meta-body', 'meta-ident', 'meta-colon')), + ], + + # optional colon + 'meta-colon': [ + include('spaces'), + (r':', Name.Decorator, '#pop'), + default('#pop'), + ], + + # same as 'ident' but set token as Name.Decorator instead of Name + 'meta-ident': [ + include('spaces'), + (ident, Name.Decorator, '#pop'), + ], + + 'meta-body': [ + include('spaces'), + (r'\(', Name.Decorator, ('#pop', 'meta-call')), + default('#pop'), + ], + + 'meta-call': [ + include('spaces'), + (r'\)', Name.Decorator, '#pop'), + default(('#pop', 'meta-call-sep', 'expr')), + ], + + 'meta-call-sep': [ + include('spaces'), + (r'\)', Name.Decorator, '#pop'), + (r',', Punctuation, ('#pop', 'meta-call')), + ], + + 'typedef': [ + include('spaces'), + default(('#pop', 'typedef-body', 'type-param-constraint', + 'type-name')), + ], + + 'typedef-body': [ + include('spaces'), + (r'=', Operator, ('#pop', 'optional-semicolon', 'type')), + ], + + 'enum': [ + include('spaces'), + default(('#pop', 'enum-body', 'bracket-open', + 'type-param-constraint', 'type-name')), + ], + + 'enum-body': [ + include('spaces'), + include('meta'), + (r'\}', Punctuation, '#pop'), + (ident_no_keyword, Name, ('enum-member', 'type-param-constraint')), + ], + + 'enum-member': [ + include('spaces'), + (r'\(', Punctuation, + ('#pop', 'semicolon', 'flag', 'function-param')), + default(('#pop', 'semicolon', 'flag')), + ], + + 'class': [ + include('spaces'), + default(('#pop', 'class-body', 'bracket-open', 'extends', + 'type-param-constraint', 'type-name')), + ], + + 'extends': [ + include('spaces'), + (r'(?:extends|implements)\b', Keyword.Declaration, 'type'), + (r',', Punctuation), # the comma is made optional here, since haxe2 + # requires the comma but haxe3 does not allow it + default('#pop'), + ], + + 'bracket-open': [ + include('spaces'), + (r'\{', Punctuation, '#pop'), + ], + + 'bracket-close': [ + include('spaces'), + (r'\}', Punctuation, '#pop'), + ], + + 'class-body': [ + include('spaces'), + include('meta'), + (r'\}', Punctuation, '#pop'), + (r'(?:static|public|private|override|dynamic|inline|macro)\b', + Keyword.Declaration), + default('class-member'), + ], + + 'class-member': [ + include('spaces'), + (r'(var)\b', Keyword.Declaration, + ('#pop', 'optional-semicolon', 'var')), + (r'(function)\b', Keyword.Declaration, + ('#pop', 'optional-semicolon', 'class-method')), + ], + + # local function, anonymous or not + 'function-local': [ + include('spaces'), + (ident_no_keyword, Name.Function, + ('#pop', 'optional-expr', 'flag', 'function-param', + 'parenthesis-open', 'type-param-constraint')), + default(('#pop', 'optional-expr', 'flag', 'function-param', + 'parenthesis-open', 'type-param-constraint')), + ], + + 'optional-expr': [ + include('spaces'), + include('expr'), + default('#pop'), + ], + + 'class-method': [ + include('spaces'), + (ident, Name.Function, ('#pop', 'optional-expr', 'flag', + 'function-param', 'parenthesis-open', + 'type-param-constraint')), + ], + + # function arguments + 'function-param': [ + include('spaces'), + (r'\)', Punctuation, '#pop'), + (r'\?', Punctuation), + (ident_no_keyword, Name, + ('#pop', 'function-param-sep', 'assign', 'flag')), + ], + + 'function-param-sep': [ + include('spaces'), + (r'\)', Punctuation, '#pop'), + (r',', Punctuation, ('#pop', 'function-param')), + ], + + 'prop-get-set': [ + include('spaces'), + (r'\(', Punctuation, ('#pop', 'parenthesis-close', + 'prop-get-set-opt', 'comma', 'prop-get-set-opt')), + default('#pop'), + ], + + 'prop-get-set-opt': [ + include('spaces'), + (r'(?:default|null|never|dynamic|get|set)\b', Keyword, '#pop'), + (ident_no_keyword, Text, '#pop'), # custom getter/setter + ], + + 'expr-statement': [ + include('spaces'), + # makes semicolon optional here, just to avoid checking the last + # one is bracket or not. + default(('#pop', 'optional-semicolon', 'expr')), + ], + + 'expr': [ + include('spaces'), + (r'@', Name.Decorator, ('#pop', 'optional-expr', 'meta-body', + 'meta-ident', 'meta-colon')), + (r'(?:\+\+|\-\-|~(?!/)|!|\-)', Operator), + (r'\(', Punctuation, ('#pop', 'expr-chain', 'parenthesis')), + (r'(?:static|public|private|override|dynamic|inline)\b', + Keyword.Declaration), + (r'(?:function)\b', Keyword.Declaration, ('#pop', 'expr-chain', + 'function-local')), + (r'\{', Punctuation, ('#pop', 'expr-chain', 'bracket')), + (r'(?:true|false|null)\b', Keyword.Constant, ('#pop', 'expr-chain')), + (r'(?:this)\b', Keyword, ('#pop', 'expr-chain')), + (r'(?:cast)\b', Keyword, ('#pop', 'expr-chain', 'cast')), + (r'(?:try)\b', Keyword, ('#pop', 'catch', 'expr')), + (r'(?:var)\b', Keyword.Declaration, ('#pop', 'var')), + (r'(?:new)\b', Keyword, ('#pop', 'expr-chain', 'new')), + (r'(?:switch)\b', Keyword, ('#pop', 'switch')), + (r'(?:if)\b', Keyword, ('#pop', 'if')), + (r'(?:do)\b', Keyword, ('#pop', 'do')), + (r'(?:while)\b', Keyword, ('#pop', 'while')), + (r'(?:for)\b', Keyword, ('#pop', 'for')), + (r'(?:untyped|throw)\b', Keyword), + (r'(?:return)\b', Keyword, ('#pop', 'optional-expr')), + (r'(?:macro)\b', Keyword, ('#pop', 'macro')), + (r'(?:continue|break)\b', Keyword, '#pop'), + (r'(?:\$\s*[a-z]\b|\$(?!'+ident+'))', Name, ('#pop', 'dollar')), + (ident_no_keyword, Name, ('#pop', 'expr-chain')), + + # Float + (r'\.[0-9]+', Number.Float, ('#pop', 'expr-chain')), + (r'[0-9]+[eE][+\-]?[0-9]+', Number.Float, ('#pop', 'expr-chain')), + (r'[0-9]+\.[0-9]*[eE][+\-]?[0-9]+', Number.Float, ('#pop', 'expr-chain')), + (r'[0-9]+\.[0-9]+', Number.Float, ('#pop', 'expr-chain')), + (r'[0-9]+\.(?!' + ident + '|\.\.)', Number.Float, ('#pop', 'expr-chain')), + + # Int + (r'0x[0-9a-fA-F]+', Number.Hex, ('#pop', 'expr-chain')), + (r'[0-9]+', Number.Integer, ('#pop', 'expr-chain')), + + # String + (r"'", String.Single, ('#pop', 'expr-chain', 'string-single-interpol')), + (r'"', String.Double, ('#pop', 'expr-chain', 'string-double')), + + # EReg + (r'~/(\\\\|\\/|[^/\n])*/[gimsu]*', String.Regex, ('#pop', 'expr-chain')), + + # Array + (r'\[', Punctuation, ('#pop', 'expr-chain', 'array-decl')), + ], + + 'expr-chain': [ + include('spaces'), + (r'(?:\+\+|\-\-)', Operator), + (binop, Operator, ('#pop', 'expr')), + (r'(?:in)\b', Keyword, ('#pop', 'expr')), + (r'\?', Operator, ('#pop', 'expr', 'ternary', 'expr')), + (r'(\.)(' + ident_no_keyword + ')', bygroups(Punctuation, Name)), + (r'\[', Punctuation, 'array-access'), + (r'\(', Punctuation, 'call'), + default('#pop'), + ], + + # macro reification + 'macro': [ + include('spaces'), + include('meta'), + (r':', Punctuation, ('#pop', 'type')), + + (r'(?:extern|private)\b', Keyword.Declaration), + (r'(?:abstract)\b', Keyword.Declaration, ('#pop', 'optional-semicolon', 'abstract')), + (r'(?:class|interface)\b', Keyword.Declaration, ('#pop', 'optional-semicolon', 'macro-class')), + (r'(?:enum)\b', Keyword.Declaration, ('#pop', 'optional-semicolon', 'enum')), + (r'(?:typedef)\b', Keyword.Declaration, ('#pop', 'optional-semicolon', 'typedef')), + + default(('#pop', 'expr')), + ], + + 'macro-class': [ + (r'\{', Punctuation, ('#pop', 'class-body')), + include('class') + ], + + # cast can be written as "cast expr" or "cast(expr, type)" + 'cast': [ + include('spaces'), + (r'\(', Punctuation, ('#pop', 'parenthesis-close', + 'cast-type', 'expr')), + default(('#pop', 'expr')), + ], + + # optionally give a type as the 2nd argument of cast() + 'cast-type': [ + include('spaces'), + (r',', Punctuation, ('#pop', 'type')), + default('#pop'), + ], + + 'catch': [ + include('spaces'), + (r'(?:catch)\b', Keyword, ('expr', 'function-param', + 'parenthesis-open')), + default('#pop'), + ], + + # do-while loop + 'do': [ + include('spaces'), + default(('#pop', 'do-while', 'expr')), + ], + + # the while after do + 'do-while': [ + include('spaces'), + (r'(?:while)\b', Keyword, ('#pop', 'parenthesis', + 'parenthesis-open')), + ], + + 'while': [ + include('spaces'), + (r'\(', Punctuation, ('#pop', 'expr', 'parenthesis')), + ], + + 'for': [ + include('spaces'), + (r'\(', Punctuation, ('#pop', 'expr', 'parenthesis')), + ], + + 'if': [ + include('spaces'), + (r'\(', Punctuation, ('#pop', 'else', 'optional-semicolon', 'expr', + 'parenthesis')), + ], + + 'else': [ + include('spaces'), + (r'(?:else)\b', Keyword, ('#pop', 'expr')), + default('#pop'), + ], + + 'switch': [ + include('spaces'), + default(('#pop', 'switch-body', 'bracket-open', 'expr')), + ], + + 'switch-body': [ + include('spaces'), + (r'(?:case|default)\b', Keyword, ('case-block', 'case')), + (r'\}', Punctuation, '#pop'), + ], + + 'case': [ + include('spaces'), + (r':', Punctuation, '#pop'), + default(('#pop', 'case-sep', 'case-guard', 'expr')), + ], + + 'case-sep': [ + include('spaces'), + (r':', Punctuation, '#pop'), + (r',', Punctuation, ('#pop', 'case')), + ], + + 'case-guard': [ + include('spaces'), + (r'(?:if)\b', Keyword, ('#pop', 'parenthesis', 'parenthesis-open')), + default('#pop'), + ], + + # optional multiple expr under a case + 'case-block': [ + include('spaces'), + (r'(?!(?:case|default)\b|\})', Keyword, 'expr-statement'), + default('#pop'), + ], + + 'new': [ + include('spaces'), + default(('#pop', 'call', 'parenthesis-open', 'type')), + ], + + 'array-decl': [ + include('spaces'), + (r'\]', Punctuation, '#pop'), + default(('#pop', 'array-decl-sep', 'expr')), + ], + + 'array-decl-sep': [ + include('spaces'), + (r'\]', Punctuation, '#pop'), + (r',', Punctuation, ('#pop', 'array-decl')), + ], + + 'array-access': [ + include('spaces'), + default(('#pop', 'array-access-close', 'expr')), + ], + + 'array-access-close': [ + include('spaces'), + (r'\]', Punctuation, '#pop'), + ], + + 'comma': [ + include('spaces'), + (r',', Punctuation, '#pop'), + ], + + 'colon': [ + include('spaces'), + (r':', Punctuation, '#pop'), + ], + + 'semicolon': [ + include('spaces'), + (r';', Punctuation, '#pop'), + ], + + 'optional-semicolon': [ + include('spaces'), + (r';', Punctuation, '#pop'), + default('#pop'), + ], + + # identity that CAN be a Haxe keyword + 'ident': [ + include('spaces'), + (ident, Name, '#pop'), + ], + + 'dollar': [ + include('spaces'), + (r'\{', Punctuation, ('#pop', 'expr-chain', 'bracket-close', 'expr')), + default(('#pop', 'expr-chain')), + ], + + 'type-name': [ + include('spaces'), + (typeid, Name, '#pop'), + ], + + 'type-full-name': [ + include('spaces'), + (r'\.', Punctuation, 'ident'), + default('#pop'), + ], + + 'type': [ + include('spaces'), + (r'\?', Punctuation), + (ident, Name, ('#pop', 'type-check', 'type-full-name')), + (r'\{', Punctuation, ('#pop', 'type-check', 'type-struct')), + (r'\(', Punctuation, ('#pop', 'type-check', 'type-parenthesis')), + ], + + 'type-parenthesis': [ + include('spaces'), + default(('#pop', 'parenthesis-close', 'type')), + ], + + 'type-check': [ + include('spaces'), + (r'->', Punctuation, ('#pop', 'type')), + (r'<(?!=)', Punctuation, 'type-param'), + default('#pop'), + ], + + 'type-struct': [ + include('spaces'), + (r'\}', Punctuation, '#pop'), + (r'\?', Punctuation), + (r'>', Punctuation, ('comma', 'type')), + (ident_no_keyword, Name, ('#pop', 'type-struct-sep', 'type', 'colon')), + include('class-body'), + ], + + 'type-struct-sep': [ + include('spaces'), + (r'\}', Punctuation, '#pop'), + (r',', Punctuation, ('#pop', 'type-struct')), + ], + + # type-param can be a normal type or a constant literal... + 'type-param-type': [ + # Float + (r'\.[0-9]+', Number.Float, '#pop'), + (r'[0-9]+[eE][+\-]?[0-9]+', Number.Float, '#pop'), + (r'[0-9]+\.[0-9]*[eE][+\-]?[0-9]+', Number.Float, '#pop'), + (r'[0-9]+\.[0-9]+', Number.Float, '#pop'), + (r'[0-9]+\.(?!' + ident + '|\.\.)', Number.Float, '#pop'), + + # Int + (r'0x[0-9a-fA-F]+', Number.Hex, '#pop'), + (r'[0-9]+', Number.Integer, '#pop'), + + # String + (r"'", String.Single, ('#pop', 'string-single')), + (r'"', String.Double, ('#pop', 'string-double')), + + # EReg + (r'~/(\\\\|\\/|[^/\n])*/[gim]*', String.Regex, '#pop'), + + # Array + (r'\[', Operator, ('#pop', 'array-decl')), + + include('type'), + ], + + # type-param part of a type + # ie. the path in Map + 'type-param': [ + include('spaces'), + default(('#pop', 'type-param-sep', 'type-param-type')), + ], + + 'type-param-sep': [ + include('spaces'), + (r'>', Punctuation, '#pop'), + (r',', Punctuation, ('#pop', 'type-param')), + ], + + # optional type-param that may include constraint + # ie. + 'type-param-constraint': [ + include('spaces'), + (r'<(?!=)', Punctuation, ('#pop', 'type-param-constraint-sep', + 'type-param-constraint-flag', 'type-name')), + default('#pop'), + ], + + 'type-param-constraint-sep': [ + include('spaces'), + (r'>', Punctuation, '#pop'), + (r',', Punctuation, ('#pop', 'type-param-constraint-sep', + 'type-param-constraint-flag', 'type-name')), + ], + + # the optional constraint inside type-param + 'type-param-constraint-flag': [ + include('spaces'), + (r':', Punctuation, ('#pop', 'type-param-constraint-flag-type')), + default('#pop'), + ], + + 'type-param-constraint-flag-type': [ + include('spaces'), + (r'\(', Punctuation, ('#pop', 'type-param-constraint-flag-type-sep', + 'type')), + default(('#pop', 'type')), + ], + + 'type-param-constraint-flag-type-sep': [ + include('spaces'), + (r'\)', Punctuation, '#pop'), + (r',', Punctuation, 'type'), + ], + + # a parenthesis expr that contain exactly one expr + 'parenthesis': [ + include('spaces'), + default(('#pop', 'parenthesis-close', 'flag', 'expr')), + ], + + 'parenthesis-open': [ + include('spaces'), + (r'\(', Punctuation, '#pop'), + ], + + 'parenthesis-close': [ + include('spaces'), + (r'\)', Punctuation, '#pop'), + ], + + 'var': [ + include('spaces'), + (ident_no_keyword, Text, ('#pop', 'var-sep', 'assign', 'flag', 'prop-get-set')), + ], + + # optional more var decl. + 'var-sep': [ + include('spaces'), + (r',', Punctuation, ('#pop', 'var')), + default('#pop'), + ], + + # optional assignment + 'assign': [ + include('spaces'), + (r'=', Operator, ('#pop', 'expr')), + default('#pop'), + ], + + # optional type flag + 'flag': [ + include('spaces'), + (r':', Punctuation, ('#pop', 'type')), + default('#pop'), + ], + + # colon as part of a ternary operator (?:) + 'ternary': [ + include('spaces'), + (r':', Operator, '#pop'), + ], + + # function call + 'call': [ + include('spaces'), + (r'\)', Punctuation, '#pop'), + default(('#pop', 'call-sep', 'expr')), + ], + + # after a call param + 'call-sep': [ + include('spaces'), + (r'\)', Punctuation, '#pop'), + (r',', Punctuation, ('#pop', 'call')), + ], + + # bracket can be block or object + 'bracket': [ + include('spaces'), + (r'(?!(?:\$\s*[a-z]\b|\$(?!'+ident+')))' + ident_no_keyword, Name, + ('#pop', 'bracket-check')), + (r"'", String.Single, ('#pop', 'bracket-check', 'string-single')), + (r'"', String.Double, ('#pop', 'bracket-check', 'string-double')), + default(('#pop', 'block')), + ], + + 'bracket-check': [ + include('spaces'), + (r':', Punctuation, ('#pop', 'object-sep', 'expr')), # is object + default(('#pop', 'block', 'optional-semicolon', 'expr-chain')), # is block + ], + + # code block + 'block': [ + include('spaces'), + (r'\}', Punctuation, '#pop'), + default('expr-statement'), + ], + + # object in key-value pairs + 'object': [ + include('spaces'), + (r'\}', Punctuation, '#pop'), + default(('#pop', 'object-sep', 'expr', 'colon', 'ident-or-string')) + ], + + # a key of an object + 'ident-or-string': [ + include('spaces'), + (ident_no_keyword, Name, '#pop'), + (r"'", String.Single, ('#pop', 'string-single')), + (r'"', String.Double, ('#pop', 'string-double')), + ], + + # after a key-value pair in object + 'object-sep': [ + include('spaces'), + (r'\}', Punctuation, '#pop'), + (r',', Punctuation, ('#pop', 'object')), + ], + + + + } + + def analyse_text(text): + if re.match(r'\w+\s*:\s*\w', text): + return 0.3 + + +class HxmlLexer(RegexLexer): + """ + Lexer for `haXe build `_ files. + + .. versionadded:: 1.6 + """ + name = 'Hxml' + aliases = ['haxeml', 'hxml'] + filenames = ['*.hxml'] + + tokens = { + 'root': [ + # Seperator + (r'(--)(next)', bygroups(Punctuation, Generic.Heading)), + # Compiler switches with one dash + (r'(-)(prompt|debug|v)', bygroups(Punctuation, Keyword.Keyword)), + # Compilerswitches with two dashes + (r'(--)(neko-source|flash-strict|flash-use-stage|no-opt|no-traces|' + r'no-inline|times|no-output)', bygroups(Punctuation, Keyword)), + # Targets and other options that take an argument + (r'(-)(cpp|js|neko|x|as3|swf9?|swf-lib|php|xml|main|lib|D|resource|' + r'cp|cmd)( +)(.+)', + bygroups(Punctuation, Keyword, Whitespace, String)), + # Options that take only numerical arguments + (r'(-)(swf-version)( +)(\d+)', + bygroups(Punctuation, Keyword, Number.Integer)), + # An Option that defines the size, the fps and the background + # color of an flash movie + (r'(-)(swf-header)( +)(\d+)(:)(\d+)(:)(\d+)(:)([A-Fa-f0-9]{6})', + bygroups(Punctuation, Keyword, Whitespace, Number.Integer, + Punctuation, Number.Integer, Punctuation, Number.Integer, + Punctuation, Number.Hex)), + # options with two dashes that takes arguments + (r'(--)(js-namespace|php-front|php-lib|remap|gen-hx-classes)( +)' + r'(.+)', bygroups(Punctuation, Keyword, Whitespace, String)), + # Single line comment, multiline ones are not allowed. + (r'#.*', Comment.Single) + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/hdl.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/hdl.py new file mode 100644 index 0000000000000000000000000000000000000000..57fb7ac96242ce7e0084bed66d22e058b5c02cef --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/hdl.py @@ -0,0 +1,382 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.hdl + ~~~~~~~~~~~~~~~~~~~ + + Lexers for hardware descriptor languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, bygroups, include, using, this, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Error + +__all__ = ['VerilogLexer', 'SystemVerilogLexer', 'VhdlLexer'] + + +class VerilogLexer(RegexLexer): + """ + For verilog source code with preprocessor directives. + + .. versionadded:: 1.4 + """ + name = 'verilog' + aliases = ['verilog', 'v'] + filenames = ['*.v'] + mimetypes = ['text/x-verilog'] + + #: optional Comment or Whitespace + _ws = r'(?:\s|//.*?\n|/[*].*?[*]/)+' + + tokens = { + 'root': [ + (r'^\s*`define', Comment.Preproc, 'macro'), + (r'\n', Text), + (r'\s+', Text), + (r'\\\n', Text), # line continuation + (r'/(\\\n)?/(\n|(.|\n)*?[^\\]\n)', Comment.Single), + (r'/(\\\n)?[*](.|\n)*?[*](\\\n)?/', Comment.Multiline), + (r'[{}#@]', Punctuation), + (r'L?"', String, 'string'), + (r"L?'(\\.|\\[0-7]{1,3}|\\x[a-fA-F0-9]{1,2}|[^\\\'\n])'", String.Char), + (r'(\d+\.\d*|\.\d+|\d+)[eE][+-]?\d+[lL]?', Number.Float), + (r'(\d+\.\d*|\.\d+|\d+[fF])[fF]?', Number.Float), + (r'([0-9]+)|(\'h)[0-9a-fA-F]+', Number.Hex), + (r'([0-9]+)|(\'b)[01]+', Number.Bin), + (r'([0-9]+)|(\'d)[0-9]+', Number.Integer), + (r'([0-9]+)|(\'o)[0-7]+', Number.Oct), + (r'\'[01xz]', Number), + (r'\d+[Ll]?', Number.Integer), + (r'\*/', Error), + (r'[~!%^&*+=|?:<>/-]', Operator), + (r'[()\[\],.;\']', Punctuation), + (r'`[a-zA-Z_]\w*', Name.Constant), + + (r'^(\s*)(package)(\s+)', bygroups(Text, Keyword.Namespace, Text)), + (r'^(\s*)(import)(\s+)', bygroups(Text, Keyword.Namespace, Text), + 'import'), + + (words(( + 'always', 'always_comb', 'always_ff', 'always_latch', 'and', + 'assign', 'automatic', 'begin', 'break', 'buf', 'bufif0', 'bufif1', + 'case', 'casex', 'casez', 'cmos', 'const', 'continue', 'deassign', + 'default', 'defparam', 'disable', 'do', 'edge', 'else', 'end', 'endcase', + 'endfunction', 'endgenerate', 'endmodule', 'endpackage', 'endprimitive', + 'endspecify', 'endtable', 'endtask', 'enum', 'event', 'final', 'for', + 'force', 'forever', 'fork', 'function', 'generate', 'genvar', 'highz0', + 'highz1', 'if', 'initial', 'inout', 'input', 'integer', 'join', 'large', + 'localparam', 'macromodule', 'medium', 'module', 'nand', 'negedge', + 'nmos', 'nor', 'not', 'notif0', 'notif1', 'or', 'output', 'packed', + 'parameter', 'pmos', 'posedge', 'primitive', 'pull0', 'pull1', + 'pulldown', 'pullup', 'rcmos', 'ref', 'release', 'repeat', 'return', + 'rnmos', 'rpmos', 'rtran', 'rtranif0', 'rtranif1', 'scalared', 'signed', + 'small', 'specify', 'specparam', 'strength', 'string', 'strong0', + 'strong1', 'struct', 'table', 'task', 'tran', 'tranif0', 'tranif1', + 'type', 'typedef', 'unsigned', 'var', 'vectored', 'void', 'wait', + 'weak0', 'weak1', 'while', 'xnor', 'xor'), suffix=r'\b'), + Keyword), + + (words(( + 'accelerate', 'autoexpand_vectornets', 'celldefine', 'default_nettype', + 'else', 'elsif', 'endcelldefine', 'endif', 'endprotect', 'endprotected', + 'expand_vectornets', 'ifdef', 'ifndef', 'include', 'noaccelerate', + 'noexpand_vectornets', 'noremove_gatenames', 'noremove_netnames', + 'nounconnected_drive', 'protect', 'protected', 'remove_gatenames', + 'remove_netnames', 'resetall', 'timescale', 'unconnected_drive', + 'undef'), prefix=r'`', suffix=r'\b'), + Comment.Preproc), + + (words(( + 'bits', 'bitstoreal', 'bitstoshortreal', 'countdrivers', 'display', 'fclose', + 'fdisplay', 'finish', 'floor', 'fmonitor', 'fopen', 'fstrobe', 'fwrite', + 'getpattern', 'history', 'incsave', 'input', 'itor', 'key', 'list', 'log', + 'monitor', 'monitoroff', 'monitoron', 'nokey', 'nolog', 'printtimescale', + 'random', 'readmemb', 'readmemh', 'realtime', 'realtobits', 'reset', + 'reset_count', 'reset_value', 'restart', 'rtoi', 'save', 'scale', 'scope', + 'shortrealtobits', 'showscopes', 'showvariables', 'showvars', 'sreadmemb', + 'sreadmemh', 'stime', 'stop', 'strobe', 'time', 'timeformat', 'write'), + prefix=r'\$', suffix=r'\b'), + Name.Builtin), + + (words(( + 'byte', 'shortint', 'int', 'longint', 'integer', 'time', + 'bit', 'logic', 'reg', 'supply0', 'supply1', 'tri', 'triand', + 'trior', 'tri0', 'tri1', 'trireg', 'uwire', 'wire', 'wand', 'wo' + 'shortreal', 'real', 'realtime'), suffix=r'\b'), + Keyword.Type), + (r'[a-zA-Z_]\w*:(?!:)', Name.Label), + (r'\$?[a-zA-Z_]\w*', Name), + ], + 'string': [ + (r'"', String, '#pop'), + (r'\\([\\abfnrtv"\']|x[a-fA-F0-9]{2,4}|[0-7]{1,3})', String.Escape), + (r'[^\\"\n]+', String), # all other characters + (r'\\\n', String), # line continuation + (r'\\', String), # stray backslash + ], + 'macro': [ + (r'[^/\n]+', Comment.Preproc), + (r'/[*](.|\n)*?[*]/', Comment.Multiline), + (r'//.*?\n', Comment.Single, '#pop'), + (r'/', Comment.Preproc), + (r'(?<=\\)\n', Comment.Preproc), + (r'\n', Comment.Preproc, '#pop'), + ], + 'import': [ + (r'[\w:]+\*?', Name.Namespace, '#pop') + ] + } + + def get_tokens_unprocessed(self, text): + for index, token, value in \ + RegexLexer.get_tokens_unprocessed(self, text): + # Convention: mark all upper case names as constants + if token is Name: + if value.isupper(): + token = Name.Constant + yield index, token, value + + +class SystemVerilogLexer(RegexLexer): + """ + Extends verilog lexer to recognise all SystemVerilog keywords from IEEE + 1800-2009 standard. + + .. versionadded:: 1.5 + """ + name = 'systemverilog' + aliases = ['systemverilog', 'sv'] + filenames = ['*.sv', '*.svh'] + mimetypes = ['text/x-systemverilog'] + + #: optional Comment or Whitespace + _ws = r'(?:\s|//.*?\n|/[*].*?[*]/)+' + + tokens = { + 'root': [ + (r'^\s*`define', Comment.Preproc, 'macro'), + (r'^(\s*)(package)(\s+)', bygroups(Text, Keyword.Namespace, Text)), + (r'^(\s*)(import)(\s+)', bygroups(Text, Keyword.Namespace, Text), 'import'), + + (r'\n', Text), + (r'\s+', Text), + (r'\\\n', Text), # line continuation + (r'/(\\\n)?/(\n|(.|\n)*?[^\\]\n)', Comment.Single), + (r'/(\\\n)?[*](.|\n)*?[*](\\\n)?/', Comment.Multiline), + (r'[{}#@]', Punctuation), + (r'L?"', String, 'string'), + (r"L?'(\\.|\\[0-7]{1,3}|\\x[a-fA-F0-9]{1,2}|[^\\\'\n])'", String.Char), + (r'(\d+\.\d*|\.\d+|\d+)[eE][+-]?\d+[lL]?', Number.Float), + (r'(\d+\.\d*|\.\d+|\d+[fF])[fF]?', Number.Float), + (r'([0-9]+)|(\'h)[0-9a-fA-F]+', Number.Hex), + (r'([0-9]+)|(\'b)[01]+', Number.Bin), + (r'([0-9]+)|(\'d)[0-9]+', Number.Integer), + (r'([0-9]+)|(\'o)[0-7]+', Number.Oct), + (r'\'[01xz]', Number), + (r'\d+[Ll]?', Number.Integer), + (r'\*/', Error), + (r'[~!%^&*+=|?:<>/-]', Operator), + (r'[()\[\],.;\']', Punctuation), + (r'`[a-zA-Z_]\w*', Name.Constant), + + (words(( + 'accept_on', 'alias', 'always', 'always_comb', 'always_ff', 'always_latch', + 'and', 'assert', 'assign', 'assume', 'automatic', 'before', 'begin', 'bind', 'bins', + 'binsof', 'bit', 'break', 'buf', 'bufif0', 'bufif1', 'byte', 'case', 'casex', 'casez', + 'cell', 'chandle', 'checker', 'class', 'clocking', 'cmos', 'config', 'const', 'constraint', + 'context', 'continue', 'cover', 'covergroup', 'coverpoint', 'cross', 'deassign', + 'default', 'defparam', 'design', 'disable', 'dist', 'do', 'edge', 'else', 'end', 'endcase', + 'endchecker', 'endclass', 'endclocking', 'endconfig', 'endfunction', 'endgenerate', + 'endgroup', 'endinterface', 'endmodule', 'endpackage', 'endprimitive', + 'endprogram', 'endproperty', 'endsequence', 'endspecify', 'endtable', + 'endtask', 'enum', 'event', 'eventually', 'expect', 'export', 'extends', 'extern', + 'final', 'first_match', 'for', 'force', 'foreach', 'forever', 'fork', 'forkjoin', + 'function', 'generate', 'genvar', 'global', 'highz0', 'highz1', 'if', 'iff', 'ifnone', + 'ignore_bins', 'illegal_bins', 'implies', 'import', 'incdir', 'include', + 'initial', 'inout', 'input', 'inside', 'instance', 'int', 'integer', 'interface', + 'intersect', 'join', 'join_any', 'join_none', 'large', 'let', 'liblist', 'library', + 'local', 'localparam', 'logic', 'longint', 'macromodule', 'matches', 'medium', + 'modport', 'module', 'nand', 'negedge', 'new', 'nexttime', 'nmos', 'nor', 'noshowcancelled', + 'not', 'notif0', 'notif1', 'null', 'or', 'output', 'package', 'packed', 'parameter', + 'pmos', 'posedge', 'primitive', 'priority', 'program', 'property', 'protected', + 'pull0', 'pull1', 'pulldown', 'pullup', 'pulsestyle_ondetect', 'pulsestyle_onevent', + 'pure', 'rand', 'randc', 'randcase', 'randsequence', 'rcmos', 'real', 'realtime', + 'ref', 'reg', 'reject_on', 'release', 'repeat', 'restrict', 'return', 'rnmos', + 'rpmos', 'rtran', 'rtranif0', 'rtranif1', 's_always', 's_eventually', 's_nexttime', + 's_until', 's_until_with', 'scalared', 'sequence', 'shortint', 'shortreal', + 'showcancelled', 'signed', 'small', 'solve', 'specify', 'specparam', 'static', + 'string', 'strong', 'strong0', 'strong1', 'struct', 'super', 'supply0', 'supply1', + 'sync_accept_on', 'sync_reject_on', 'table', 'tagged', 'task', 'this', 'throughout', + 'time', 'timeprecision', 'timeunit', 'tran', 'tranif0', 'tranif1', 'tri', 'tri0', + 'tri1', 'triand', 'trior', 'trireg', 'type', 'typedef', 'union', 'unique', 'unique0', + 'unsigned', 'until', 'until_with', 'untyped', 'use', 'uwire', 'var', 'vectored', + 'virtual', 'void', 'wait', 'wait_order', 'wand', 'weak', 'weak0', 'weak1', 'while', + 'wildcard', 'wire', 'with', 'within', 'wor', 'xnor', 'xor'), suffix=r'\b'), + Keyword), + + (words(( + '`__FILE__', '`__LINE__', '`begin_keywords', '`celldefine', '`default_nettype', + '`define', '`else', '`elsif', '`end_keywords', '`endcelldefine', '`endif', + '`ifdef', '`ifndef', '`include', '`line', '`nounconnected_drive', '`pragma', + '`resetall', '`timescale', '`unconnected_drive', '`undef', '`undefineall'), + suffix=r'\b'), + Comment.Preproc), + + (words(( + '$display', '$displayb', '$displayh', '$displayo', '$dumpall', '$dumpfile', + '$dumpflush', '$dumplimit', '$dumpoff', '$dumpon', '$dumpports', + '$dumpportsall', '$dumpportsflush', '$dumpportslimit', '$dumpportsoff', + '$dumpportson', '$dumpvars', '$fclose', '$fdisplay', '$fdisplayb', + '$fdisplayh', '$fdisplayo', '$feof', '$ferror', '$fflush', '$fgetc', + '$fgets', '$finish', '$fmonitor', '$fmonitorb', '$fmonitorh', '$fmonitoro', + '$fopen', '$fread', '$fscanf', '$fseek', '$fstrobe', '$fstrobeb', '$fstrobeh', + '$fstrobeo', '$ftell', '$fwrite', '$fwriteb', '$fwriteh', '$fwriteo', + '$monitor', '$monitorb', '$monitorh', '$monitoro', '$monitoroff', + '$monitoron', '$plusargs', '$random', '$readmemb', '$readmemh', '$rewind', + '$sformat', '$sformatf', '$sscanf', '$strobe', '$strobeb', '$strobeh', '$strobeo', + '$swrite', '$swriteb', '$swriteh', '$swriteo', '$test', '$ungetc', + '$value$plusargs', '$write', '$writeb', '$writeh', '$writememb', + '$writememh', '$writeo'), suffix=r'\b'), + Name.Builtin), + + (r'(class)(\s+)', bygroups(Keyword, Text), 'classname'), + (words(( + 'byte', 'shortint', 'int', 'longint', 'integer', 'time', + 'bit', 'logic', 'reg', 'supply0', 'supply1', 'tri', 'triand', + 'trior', 'tri0', 'tri1', 'trireg', 'uwire', 'wire', 'wand', 'wo' + 'shortreal', 'real', 'realtime'), suffix=r'\b'), + Keyword.Type), + (r'[a-zA-Z_]\w*:(?!:)', Name.Label), + (r'\$?[a-zA-Z_]\w*', Name), + ], + 'classname': [ + (r'[a-zA-Z_]\w*', Name.Class, '#pop'), + ], + 'string': [ + (r'"', String, '#pop'), + (r'\\([\\abfnrtv"\']|x[a-fA-F0-9]{2,4}|[0-7]{1,3})', String.Escape), + (r'[^\\"\n]+', String), # all other characters + (r'\\\n', String), # line continuation + (r'\\', String), # stray backslash + ], + 'macro': [ + (r'[^/\n]+', Comment.Preproc), + (r'/[*](.|\n)*?[*]/', Comment.Multiline), + (r'//.*?\n', Comment.Single, '#pop'), + (r'/', Comment.Preproc), + (r'(?<=\\)\n', Comment.Preproc), + (r'\n', Comment.Preproc, '#pop'), + ], + 'import': [ + (r'[\w:]+\*?', Name.Namespace, '#pop') + ] + } + + def get_tokens_unprocessed(self, text): + for index, token, value in \ + RegexLexer.get_tokens_unprocessed(self, text): + # Convention: mark all upper case names as constants + if token is Name: + if value.isupper(): + token = Name.Constant + yield index, token, value + + +class VhdlLexer(RegexLexer): + """ + For VHDL source code. + + .. versionadded:: 1.5 + """ + name = 'vhdl' + aliases = ['vhdl'] + filenames = ['*.vhdl', '*.vhd'] + mimetypes = ['text/x-vhdl'] + flags = re.MULTILINE | re.IGNORECASE + + tokens = { + 'root': [ + (r'\n', Text), + (r'\s+', Text), + (r'\\\n', Text), # line continuation + (r'--.*?$', Comment.Single), + (r"'(U|X|0|1|Z|W|L|H|-)'", String.Char), + (r'[~!%^&*+=|?:<>/-]', Operator), + (r"'[a-z_]\w*", Name.Attribute), + (r'[()\[\],.;\']', Punctuation), + (r'"[^\n\\"]*"', String), + + (r'(library)(\s+)([a-z_]\w*)', + bygroups(Keyword, Text, Name.Namespace)), + (r'(use)(\s+)(entity)', bygroups(Keyword, Text, Keyword)), + (r'(use)(\s+)([a-z_][\w.]*\.)(all)', + bygroups(Keyword, Text, Name.Namespace, Keyword)), + (r'(use)(\s+)([a-z_][\w.]*)', + bygroups(Keyword, Text, Name.Namespace)), + (r'(std|ieee)(\.[a-z_]\w*)', + bygroups(Name.Namespace, Name.Namespace)), + (words(('std', 'ieee', 'work'), suffix=r'\b'), + Name.Namespace), + (r'(entity|component)(\s+)([a-z_]\w*)', + bygroups(Keyword, Text, Name.Class)), + (r'(architecture|configuration)(\s+)([a-z_]\w*)(\s+)' + r'(of)(\s+)([a-z_]\w*)(\s+)(is)', + bygroups(Keyword, Text, Name.Class, Text, Keyword, Text, + Name.Class, Text, Keyword)), + (r'([a-z_]\w*)(:)(\s+)(process|for)', + bygroups(Name.Class, Operator, Text, Keyword)), + (r'(end)(\s+)', bygroups(using(this), Text), 'endblock'), + + include('types'), + include('keywords'), + include('numbers'), + + (r'[a-z_]\w*', Name), + ], + 'endblock': [ + include('keywords'), + (r'[a-z_]\w*', Name.Class), + (r'(\s+)', Text), + (r';', Punctuation, '#pop'), + ], + 'types': [ + (words(( + 'boolean', 'bit', 'character', 'severity_level', 'integer', 'time', + 'delay_length', 'natural', 'positive', 'string', 'bit_vector', + 'file_open_kind', 'file_open_status', 'std_ulogic', 'std_ulogic_vector', + 'std_logic', 'std_logic_vector', 'signed', 'unsigned'), suffix=r'\b'), + Keyword.Type), + ], + 'keywords': [ + (words(( + 'abs', 'access', 'after', 'alias', 'all', 'and', + 'architecture', 'array', 'assert', 'attribute', 'begin', 'block', + 'body', 'buffer', 'bus', 'case', 'component', 'configuration', + 'constant', 'disconnect', 'downto', 'else', 'elsif', 'end', + 'entity', 'exit', 'file', 'for', 'function', 'generate', + 'generic', 'group', 'guarded', 'if', 'impure', 'in', + 'inertial', 'inout', 'is', 'label', 'library', 'linkage', + 'literal', 'loop', 'map', 'mod', 'nand', 'new', + 'next', 'nor', 'not', 'null', 'of', 'on', + 'open', 'or', 'others', 'out', 'package', 'port', + 'postponed', 'procedure', 'process', 'pure', 'range', 'record', + 'register', 'reject', 'rem', 'return', 'rol', 'ror', 'select', + 'severity', 'signal', 'shared', 'sla', 'sll', 'sra', + 'srl', 'subtype', 'then', 'to', 'transport', 'type', + 'units', 'until', 'use', 'variable', 'wait', 'when', + 'while', 'with', 'xnor', 'xor'), suffix=r'\b'), + Keyword), + ], + 'numbers': [ + (r'\d{1,2}#[0-9a-f_]+#?', Number.Integer), + (r'\d+', Number.Integer), + (r'(\d+\.\d*|\.\d+|\d+)E[+-]?\d+', Number.Float), + (r'X"[0-9a-f_]+"', Number.Hex), + (r'O"[0-7_]+"', Number.Oct), + (r'B"[01_]+"', Number.Bin), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/hexdump.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/hexdump.py new file mode 100644 index 0000000000000000000000000000000000000000..cba49be720eca200e6753b1fe023a5c8752942af --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/hexdump.py @@ -0,0 +1,103 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.hexdump + ~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for hexadecimal dumps. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, bygroups, include +from pygments.token import Text, Name, Number, String, Punctuation + +__all__ = ['HexdumpLexer'] + + +class HexdumpLexer(RegexLexer): + """ + For typical hex dump output formats by the UNIX and GNU/Linux tools ``hexdump``, + ``hd``, ``hexcat``, ``od`` and ``xxd``, and the DOS tool ``DEBUG``. For example: + + .. sourcecode:: hexdump + + 00000000 7f 45 4c 46 02 01 01 00 00 00 00 00 00 00 00 00 |.ELF............| + 00000010 02 00 3e 00 01 00 00 00 c5 48 40 00 00 00 00 00 |..>......H@.....| + + The specific supported formats are the outputs of: + + * ``hexdump FILE`` + * ``hexdump -C FILE`` -- the `canonical` format used in the example. + * ``hd FILE`` -- same as ``hexdump -C FILE``. + * ``hexcat FILE`` + * ``od -t x1z FILE`` + * ``xxd FILE`` + * ``DEBUG.EXE FILE.COM`` and entering ``d`` to the prompt. + + .. versionadded:: 2.1 + """ + name = 'Hexdump' + aliases = ['hexdump'] + + hd = r'[0-9A-Ha-h]' + + tokens = { + 'root': [ + (r'\n', Text), + include('offset'), + (r'('+hd+r'{2})(\-)('+hd+r'{2})', + bygroups(Number.Hex, Punctuation, Number.Hex)), + (hd+r'{2}', Number.Hex), + (r'(\s{2,3})(\>)(.{16})(\<)$', + bygroups(Text, Punctuation, String, Punctuation), 'bracket-strings'), + (r'(\s{2,3})(\|)(.{16})(\|)$', + bygroups(Text, Punctuation, String, Punctuation), 'piped-strings'), + (r'(\s{2,3})(\>)(.{1,15})(\<)$', + bygroups(Text, Punctuation, String, Punctuation)), + (r'(\s{2,3})(\|)(.{1,15})(\|)$', + bygroups(Text, Punctuation, String, Punctuation)), + (r'(\s{2,3})(.{1,15})$', bygroups(Text, String)), + (r'(\s{2,3})(.{16}|.{20})$', bygroups(Text, String), 'nonpiped-strings'), + (r'\s', Text), + (r'^\*', Punctuation), + ], + 'offset': [ + (r'^('+hd+'+)(:)', bygroups(Name.Label, Punctuation), 'offset-mode'), + (r'^'+hd+'+', Name.Label), + ], + 'offset-mode': [ + (r'\s', Text, '#pop'), + (hd+'+', Name.Label), + (r':', Punctuation) + ], + 'piped-strings': [ + (r'\n', Text), + include('offset'), + (hd+r'{2}', Number.Hex), + (r'(\s{2,3})(\|)(.{1,16})(\|)$', + bygroups(Text, Punctuation, String, Punctuation)), + (r'\s', Text), + (r'^\*', Punctuation), + ], + 'bracket-strings': [ + (r'\n', Text), + include('offset'), + (hd+r'{2}', Number.Hex), + (r'(\s{2,3})(\>)(.{1,16})(\<)$', + bygroups(Text, Punctuation, String, Punctuation)), + (r'\s', Text), + (r'^\*', Punctuation), + ], + 'nonpiped-strings': [ + (r'\n', Text), + include('offset'), + (r'('+hd+r'{2})(\-)('+hd+r'{2})', + bygroups(Number.Hex, Punctuation, Number.Hex)), + (hd+r'{2}', Number.Hex), + (r'(\s{19,})(.{1,20}?)$', bygroups(Text, String)), + (r'(\s{2,3})(.{1,20})$', bygroups(Text, String)), + (r'\s', Text), + (r'^\*', Punctuation), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/html.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/html.py new file mode 100644 index 0000000000000000000000000000000000000000..73f020fa825d2c80441c3958ea3936873007a1e1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/html.py @@ -0,0 +1,602 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.html + ~~~~~~~~~~~~~~~~~~~~ + + Lexers for HTML, XML and related markup. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, ExtendedRegexLexer, include, bygroups, \ + default, using +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Punctuation +from pygments.util import looks_like_xml, html_doctype_matches + +from pygments.lexers.javascript import JavascriptLexer +from pygments.lexers.jvm import ScalaLexer +from pygments.lexers.css import CssLexer, _indentation, _starts_block +from pygments.lexers.ruby import RubyLexer + +__all__ = ['HtmlLexer', 'DtdLexer', 'XmlLexer', 'XsltLexer', 'HamlLexer', + 'ScamlLexer', 'PugLexer'] + + +class HtmlLexer(RegexLexer): + """ + For HTML 4 and XHTML 1 markup. Nested JavaScript and CSS is highlighted + by the appropriate lexer. + """ + + name = 'HTML' + aliases = ['html'] + filenames = ['*.html', '*.htm', '*.xhtml', '*.xslt'] + mimetypes = ['text/html', 'application/xhtml+xml'] + + flags = re.IGNORECASE | re.DOTALL + tokens = { + 'root': [ + ('[^<&]+', Text), + (r'&\S*?;', Name.Entity), + (r'\<\!\[CDATA\[.*?\]\]\>', Comment.Preproc), + ('', Comment, '#pop'), + ('-', Comment), + ], + 'tag': [ + (r'\s+', Text), + (r'([\w:-]+\s*)(=)(\s*)', bygroups(Name.Attribute, Operator, Text), + 'attr'), + (r'[\w:-]+', Name.Attribute), + (r'(/?)(\s*)(>)', bygroups(Punctuation, Text, Punctuation), '#pop'), + ], + 'script-content': [ + (r'(<)(\s*)(/)(\s*)(script)(\s*)(>)', + bygroups(Punctuation, Text, Punctuation, Text, Name.Tag, Text, + Punctuation), '#pop'), + (r'.+?(?=<\s*/\s*script\s*>)', using(JavascriptLexer)), + ], + 'style-content': [ + (r'(<)(\s*)(/)(\s*)(style)(\s*)(>)', + bygroups(Punctuation, Text, Punctuation, Text, Name.Tag, Text, + Punctuation),'#pop'), + (r'.+?(?=<\s*/\s*style\s*>)', using(CssLexer)), + ], + 'attr': [ + ('".*?"', String, '#pop'), + ("'.*?'", String, '#pop'), + (r'[^\s>]+', String, '#pop'), + ], + } + + def analyse_text(text): + if html_doctype_matches(text): + return 0.5 + + +class DtdLexer(RegexLexer): + """ + A lexer for DTDs (Document Type Definitions). + + .. versionadded:: 1.5 + """ + + flags = re.MULTILINE | re.DOTALL + + name = 'DTD' + aliases = ['dtd'] + filenames = ['*.dtd'] + mimetypes = ['application/xml-dtd'] + + tokens = { + 'root': [ + include('common'), + + (r'(\s]+)', + bygroups(Keyword, Text, Name.Tag)), + (r'PUBLIC|SYSTEM', Keyword.Constant), + (r'[\[\]>]', Keyword), + ], + + 'common': [ + (r'\s+', Text), + (r'(%|&)[^;]*;', Name.Entity), + ('', Comment, '#pop'), + ('-', Comment), + ], + + 'element': [ + include('common'), + (r'EMPTY|ANY|#PCDATA', Keyword.Constant), + (r'[^>\s|()?+*,]+', Name.Tag), + (r'>', Keyword, '#pop'), + ], + + 'attlist': [ + include('common'), + (r'CDATA|IDREFS|IDREF|ID|NMTOKENS|NMTOKEN|ENTITIES|ENTITY|NOTATION', + Keyword.Constant), + (r'#REQUIRED|#IMPLIED|#FIXED', Keyword.Constant), + (r'xml:space|xml:lang', Keyword.Reserved), + (r'[^>\s|()?+*,]+', Name.Attribute), + (r'>', Keyword, '#pop'), + ], + + 'entity': [ + include('common'), + (r'SYSTEM|PUBLIC|NDATA', Keyword.Constant), + (r'[^>\s|()?+*,]+', Name.Entity), + (r'>', Keyword, '#pop'), + ], + + 'notation': [ + include('common'), + (r'SYSTEM|PUBLIC', Keyword.Constant), + (r'[^>\s|()?+*,]+', Name.Attribute), + (r'>', Keyword, '#pop'), + ], + } + + def analyse_text(text): + if not looks_like_xml(text) and \ + ('', Comment.Preproc), + ('', Comment, '#pop'), + ('-', Comment), + ], + 'tag': [ + (r'\s+', Text), + (r'[\w.:-]+\s*=', Name.Attribute, 'attr'), + (r'/?\s*>', Name.Tag, '#pop'), + ], + 'attr': [ + ('\s+', Text), + ('".*?"', String, '#pop'), + ("'.*?'", String, '#pop'), + (r'[^\s>]+', String, '#pop'), + ], + } + + def analyse_text(text): + if looks_like_xml(text): + return 0.45 # less than HTML + + +class XsltLexer(XmlLexer): + """ + A lexer for XSLT. + + .. versionadded:: 0.10 + """ + + name = 'XSLT' + aliases = ['xslt'] + filenames = ['*.xsl', '*.xslt', '*.xpl'] # xpl is XProc + mimetypes = ['application/xsl+xml', 'application/xslt+xml'] + + EXTRA_KEYWORDS = set(( + 'apply-imports', 'apply-templates', 'attribute', + 'attribute-set', 'call-template', 'choose', 'comment', + 'copy', 'copy-of', 'decimal-format', 'element', 'fallback', + 'for-each', 'if', 'import', 'include', 'key', 'message', + 'namespace-alias', 'number', 'otherwise', 'output', 'param', + 'preserve-space', 'processing-instruction', 'sort', + 'strip-space', 'stylesheet', 'template', 'text', 'transform', + 'value-of', 'variable', 'when', 'with-param' + )) + + def get_tokens_unprocessed(self, text): + for index, token, value in XmlLexer.get_tokens_unprocessed(self, text): + m = re.match(']*)/?>?', value) + + if token is Name.Tag and m and m.group(1) in self.EXTRA_KEYWORDS: + yield index, Keyword, value + else: + yield index, token, value + + def analyse_text(text): + if looks_like_xml(text) and ']{1,2}(?=[ \t=])', Punctuation), + include('eval-or-plain'), + ], + + 'plain': [ + (r'([^#\n]|#[^{\n]|(\\\\)*\\#\{)+', Text), + (r'(#\{)(' + _dot + '*?)(\})', + bygroups(String.Interpol, using(RubyLexer), String.Interpol)), + (r'\n', Text, 'root'), + ], + + 'html-attributes': [ + (r'\s+', Text), + (r'[\w:-]+[ \t]*=', Name.Attribute, 'html-attribute-value'), + (r'[\w:-]+', Name.Attribute), + (r'\)', Text, '#pop'), + ], + + 'html-attribute-value': [ + (r'[ \t]+', Text), + (r'\w+', Name.Variable, '#pop'), + (r'@\w+', Name.Variable.Instance, '#pop'), + (r'\$\w+', Name.Variable.Global, '#pop'), + (r"'(\\\\|\\'|[^'\n])*'", String, '#pop'), + (r'"(\\\\|\\"|[^"\n])*"', String, '#pop'), + ], + + 'html-comment-block': [ + (_dot + '+', Comment), + (r'\n', Text, 'root'), + ], + + 'haml-comment-block': [ + (_dot + '+', Comment.Preproc), + (r'\n', Text, 'root'), + ], + + 'filter-block': [ + (r'([^#\n]|#[^{\n]|(\\\\)*\\#\{)+', Name.Decorator), + (r'(#\{)(' + _dot + '*?)(\})', + bygroups(String.Interpol, using(RubyLexer), String.Interpol)), + (r'\n', Text, 'root'), + ], + } + + +class ScamlLexer(ExtendedRegexLexer): + """ + For `Scaml markup `_. Scaml is Haml for Scala. + + .. versionadded:: 1.4 + """ + + name = 'Scaml' + aliases = ['scaml'] + filenames = ['*.scaml'] + mimetypes = ['text/x-scaml'] + + flags = re.IGNORECASE + # Scaml does not yet support the " |\n" notation to + # wrap long lines. Once it does, use the custom faux + # dot instead. + # _dot = r'(?: \|\n(?=.* \|)|.)' + _dot = r'.' + + tokens = { + 'root': [ + (r'[ \t]*\n', Text), + (r'[ \t]*', _indentation), + ], + + 'css': [ + (r'\.[\w:-]+', Name.Class, 'tag'), + (r'\#[\w:-]+', Name.Function, 'tag'), + ], + + 'eval-or-plain': [ + (r'[&!]?==', Punctuation, 'plain'), + (r'([&!]?[=~])(' + _dot + r'*\n)', + bygroups(Punctuation, using(ScalaLexer)), + 'root'), + default('plain'), + ], + + 'content': [ + include('css'), + (r'%[\w:-]+', Name.Tag, 'tag'), + (r'!!!' + _dot + r'*\n', Name.Namespace, '#pop'), + (r'(/)(\[' + _dot + '*?\])(' + _dot + r'*\n)', + bygroups(Comment, Comment.Special, Comment), + '#pop'), + (r'/' + _dot + r'*\n', _starts_block(Comment, 'html-comment-block'), + '#pop'), + (r'-#' + _dot + r'*\n', _starts_block(Comment.Preproc, + 'scaml-comment-block'), '#pop'), + (r'(-@\s*)(import)?(' + _dot + r'*\n)', + bygroups(Punctuation, Keyword, using(ScalaLexer)), + '#pop'), + (r'(-)(' + _dot + r'*\n)', + bygroups(Punctuation, using(ScalaLexer)), + '#pop'), + (r':' + _dot + r'*\n', _starts_block(Name.Decorator, 'filter-block'), + '#pop'), + include('eval-or-plain'), + ], + + 'tag': [ + include('css'), + (r'\{(,\n|' + _dot + ')*?\}', using(ScalaLexer)), + (r'\[' + _dot + '*?\]', using(ScalaLexer)), + (r'\(', Text, 'html-attributes'), + (r'/[ \t]*\n', Punctuation, '#pop:2'), + (r'[<>]{1,2}(?=[ \t=])', Punctuation), + include('eval-or-plain'), + ], + + 'plain': [ + (r'([^#\n]|#[^{\n]|(\\\\)*\\#\{)+', Text), + (r'(#\{)(' + _dot + '*?)(\})', + bygroups(String.Interpol, using(ScalaLexer), String.Interpol)), + (r'\n', Text, 'root'), + ], + + 'html-attributes': [ + (r'\s+', Text), + (r'[\w:-]+[ \t]*=', Name.Attribute, 'html-attribute-value'), + (r'[\w:-]+', Name.Attribute), + (r'\)', Text, '#pop'), + ], + + 'html-attribute-value': [ + (r'[ \t]+', Text), + (r'\w+', Name.Variable, '#pop'), + (r'@\w+', Name.Variable.Instance, '#pop'), + (r'\$\w+', Name.Variable.Global, '#pop'), + (r"'(\\\\|\\'|[^'\n])*'", String, '#pop'), + (r'"(\\\\|\\"|[^"\n])*"', String, '#pop'), + ], + + 'html-comment-block': [ + (_dot + '+', Comment), + (r'\n', Text, 'root'), + ], + + 'scaml-comment-block': [ + (_dot + '+', Comment.Preproc), + (r'\n', Text, 'root'), + ], + + 'filter-block': [ + (r'([^#\n]|#[^{\n]|(\\\\)*\\#\{)+', Name.Decorator), + (r'(#\{)(' + _dot + '*?)(\})', + bygroups(String.Interpol, using(ScalaLexer), String.Interpol)), + (r'\n', Text, 'root'), + ], + } + + +class PugLexer(ExtendedRegexLexer): + """ + For Pug markup. + Pug is a variant of Scaml, see: + http://scalate.fusesource.org/documentation/scaml-reference.html + + .. versionadded:: 1.4 + """ + + name = 'Pug' + aliases = ['pug', 'jade'] + filenames = ['*.pug', '*.jade'] + mimetypes = ['text/x-pug', 'text/x-jade'] + + flags = re.IGNORECASE + _dot = r'.' + + tokens = { + 'root': [ + (r'[ \t]*\n', Text), + (r'[ \t]*', _indentation), + ], + + 'css': [ + (r'\.[\w:-]+', Name.Class, 'tag'), + (r'\#[\w:-]+', Name.Function, 'tag'), + ], + + 'eval-or-plain': [ + (r'[&!]?==', Punctuation, 'plain'), + (r'([&!]?[=~])(' + _dot + r'*\n)', + bygroups(Punctuation, using(ScalaLexer)), 'root'), + default('plain'), + ], + + 'content': [ + include('css'), + (r'!!!' + _dot + r'*\n', Name.Namespace, '#pop'), + (r'(/)(\[' + _dot + '*?\])(' + _dot + r'*\n)', + bygroups(Comment, Comment.Special, Comment), + '#pop'), + (r'/' + _dot + r'*\n', _starts_block(Comment, 'html-comment-block'), + '#pop'), + (r'-#' + _dot + r'*\n', _starts_block(Comment.Preproc, + 'scaml-comment-block'), '#pop'), + (r'(-@\s*)(import)?(' + _dot + r'*\n)', + bygroups(Punctuation, Keyword, using(ScalaLexer)), + '#pop'), + (r'(-)(' + _dot + r'*\n)', + bygroups(Punctuation, using(ScalaLexer)), + '#pop'), + (r':' + _dot + r'*\n', _starts_block(Name.Decorator, 'filter-block'), + '#pop'), + (r'[\w:-]+', Name.Tag, 'tag'), + (r'\|', Text, 'eval-or-plain'), + ], + + 'tag': [ + include('css'), + (r'\{(,\n|' + _dot + ')*?\}', using(ScalaLexer)), + (r'\[' + _dot + '*?\]', using(ScalaLexer)), + (r'\(', Text, 'html-attributes'), + (r'/[ \t]*\n', Punctuation, '#pop:2'), + (r'[<>]{1,2}(?=[ \t=])', Punctuation), + include('eval-or-plain'), + ], + + 'plain': [ + (r'([^#\n]|#[^{\n]|(\\\\)*\\#\{)+', Text), + (r'(#\{)(' + _dot + '*?)(\})', + bygroups(String.Interpol, using(ScalaLexer), String.Interpol)), + (r'\n', Text, 'root'), + ], + + 'html-attributes': [ + (r'\s+', Text), + (r'[\w:-]+[ \t]*=', Name.Attribute, 'html-attribute-value'), + (r'[\w:-]+', Name.Attribute), + (r'\)', Text, '#pop'), + ], + + 'html-attribute-value': [ + (r'[ \t]+', Text), + (r'\w+', Name.Variable, '#pop'), + (r'@\w+', Name.Variable.Instance, '#pop'), + (r'\$\w+', Name.Variable.Global, '#pop'), + (r"'(\\\\|\\'|[^'\n])*'", String, '#pop'), + (r'"(\\\\|\\"|[^"\n])*"', String, '#pop'), + ], + + 'html-comment-block': [ + (_dot + '+', Comment), + (r'\n', Text, 'root'), + ], + + 'scaml-comment-block': [ + (_dot + '+', Comment.Preproc), + (r'\n', Text, 'root'), + ], + + 'filter-block': [ + (r'([^#\n]|#[^{\n]|(\\\\)*\\#\{)+', Name.Decorator), + (r'(#\{)(' + _dot + '*?)(\})', + bygroups(String.Interpol, using(ScalaLexer), String.Interpol)), + (r'\n', Text, 'root'), + ], + } +JadeLexer = PugLexer # compat diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/idl.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/idl.py new file mode 100644 index 0000000000000000000000000000000000000000..990789702799df1a66dc7f854df55b0fbc4b78b2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/idl.py @@ -0,0 +1,270 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.idl + ~~~~~~~~~~~~~~~~~~~ + + Lexers for IDL. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, words +from pygments.token import Text, Comment, Operator, Keyword, Name, Number, String + +__all__ = ['IDLLexer'] + + +class IDLLexer(RegexLexer): + """ + Pygments Lexer for IDL (Interactive Data Language). + + .. versionadded:: 1.6 + """ + name = 'IDL' + aliases = ['idl'] + filenames = ['*.pro'] + mimetypes = ['text/idl'] + + flags = re.IGNORECASE | re.MULTILINE + + _RESERVED = ( + 'and', 'begin', 'break', 'case', 'common', 'compile_opt', + 'continue', 'do', 'else', 'end', 'endcase', 'elseelse', + 'endfor', 'endforeach', 'endif', 'endrep', 'endswitch', + 'endwhile', 'eq', 'for', 'foreach', 'forward_function', + 'function', 'ge', 'goto', 'gt', 'if', 'inherits', 'le', + 'lt', 'mod', 'ne', 'not', 'of', 'on_ioerror', 'or', 'pro', + 'repeat', 'switch', 'then', 'until', 'while', 'xor') + """Reserved words from: http://www.exelisvis.com/docs/reswords.html""" + + _BUILTIN_LIB = ( + 'abs', 'acos', 'adapt_hist_equal', 'alog', 'alog10', + 'amoeba', 'annotate', 'app_user_dir', 'app_user_dir_query', + 'arg_present', 'array_equal', 'array_indices', 'arrow', + 'ascii_template', 'asin', 'assoc', 'atan', 'axis', + 'a_correlate', 'bandpass_filter', 'bandreject_filter', + 'barplot', 'bar_plot', 'beseli', 'beselj', 'beselk', + 'besely', 'beta', 'bilinear', 'binary_template', 'bindgen', + 'binomial', 'bin_date', 'bit_ffs', 'bit_population', + 'blas_axpy', 'blk_con', 'box_cursor', 'breakpoint', + 'broyden', 'butterworth', 'bytarr', 'byte', 'byteorder', + 'bytscl', 'caldat', 'calendar', 'call_external', + 'call_function', 'call_method', 'call_procedure', 'canny', + 'catch', 'cd', 'cdf_\w*', 'ceil', 'chebyshev', + 'check_math', + 'chisqr_cvf', 'chisqr_pdf', 'choldc', 'cholsol', 'cindgen', + 'cir_3pnt', 'close', 'cluster', 'cluster_tree', 'clust_wts', + 'cmyk_convert', 'colorbar', 'colorize_sample', + 'colormap_applicable', 'colormap_gradient', + 'colormap_rotation', 'colortable', 'color_convert', + 'color_exchange', 'color_quan', 'color_range_map', 'comfit', + 'command_line_args', 'complex', 'complexarr', 'complexround', + 'compute_mesh_normals', 'cond', 'congrid', 'conj', + 'constrained_min', 'contour', 'convert_coord', 'convol', + 'convol_fft', 'coord2to3', 'copy_lun', 'correlate', 'cos', + 'cosh', 'cpu', 'cramer', 'create_cursor', 'create_struct', + 'create_view', 'crossp', 'crvlength', 'cti_test', + 'ct_luminance', 'cursor', 'curvefit', 'cvttobm', 'cv_coord', + 'cw_animate', 'cw_animate_getp', 'cw_animate_load', + 'cw_animate_run', 'cw_arcball', 'cw_bgroup', 'cw_clr_index', + 'cw_colorsel', 'cw_defroi', 'cw_field', 'cw_filesel', + 'cw_form', 'cw_fslider', 'cw_light_editor', + 'cw_light_editor_get', 'cw_light_editor_set', 'cw_orient', + 'cw_palette_editor', 'cw_palette_editor_get', + 'cw_palette_editor_set', 'cw_pdmenu', 'cw_rgbslider', + 'cw_tmpl', 'cw_zoom', 'c_correlate', 'dblarr', 'db_exists', + 'dcindgen', 'dcomplex', 'dcomplexarr', 'define_key', + 'define_msgblk', 'define_msgblk_from_file', 'defroi', + 'defsysv', 'delvar', 'dendrogram', 'dendro_plot', 'deriv', + 'derivsig', 'determ', 'device', 'dfpmin', 'diag_matrix', + 'dialog_dbconnect', 'dialog_message', 'dialog_pickfile', + 'dialog_printersetup', 'dialog_printjob', + 'dialog_read_image', 'dialog_write_image', 'digital_filter', + 'dilate', 'dindgen', 'dissolve', 'dist', 'distance_measure', + 'dlm_load', 'dlm_register', 'doc_library', 'double', + 'draw_roi', 'edge_dog', 'efont', 'eigenql', 'eigenvec', + 'ellipse', 'elmhes', 'emboss', 'empty', 'enable_sysrtn', + 'eof', 'eos_\w*', 'erase', 'erf', 'erfc', 'erfcx', + 'erode', 'errorplot', 'errplot', 'estimator_filter', + 'execute', 'exit', 'exp', 'expand', 'expand_path', 'expint', + 'extrac', 'extract_slice', 'factorial', 'fft', 'filepath', + 'file_basename', 'file_chmod', 'file_copy', 'file_delete', + 'file_dirname', 'file_expand_path', 'file_info', + 'file_lines', 'file_link', 'file_mkdir', 'file_move', + 'file_poll_input', 'file_readlink', 'file_same', + 'file_search', 'file_test', 'file_which', 'findgen', + 'finite', 'fix', 'flick', 'float', 'floor', 'flow3', + 'fltarr', 'flush', 'format_axis_values', 'free_lun', + 'fstat', 'fulstr', 'funct', 'fv_test', 'fx_root', + 'fz_roots', 'f_cvf', 'f_pdf', 'gamma', 'gamma_ct', + 'gauss2dfit', 'gaussfit', 'gaussian_function', 'gaussint', + 'gauss_cvf', 'gauss_pdf', 'gauss_smooth', 'getenv', + 'getwindows', 'get_drive_list', 'get_dxf_objects', + 'get_kbrd', 'get_login_info', 'get_lun', 'get_screen_size', + 'greg2jul', 'grib_\w*', 'grid3', 'griddata', + 'grid_input', 'grid_tps', 'gs_iter', + 'h5[adfgirst]_\w*', 'h5_browser', 'h5_close', + 'h5_create', 'h5_get_libversion', 'h5_open', 'h5_parse', + 'hanning', 'hash', 'hdf_\w*', 'heap_free', + 'heap_gc', 'heap_nosave', 'heap_refcount', 'heap_save', + 'help', 'hilbert', 'histogram', 'hist_2d', 'hist_equal', + 'hls', 'hough', 'hqr', 'hsv', 'h_eq_ct', 'h_eq_int', + 'i18n_multibytetoutf8', 'i18n_multibytetowidechar', + 'i18n_utf8tomultibyte', 'i18n_widechartomultibyte', + 'ibeta', 'icontour', 'iconvertcoord', 'idelete', 'identity', + 'idlexbr_assistant', 'idlitsys_createtool', 'idl_base64', + 'idl_validname', 'iellipse', 'igamma', 'igetcurrent', + 'igetdata', 'igetid', 'igetproperty', 'iimage', 'image', + 'image_cont', 'image_statistics', 'imaginary', 'imap', + 'indgen', 'intarr', 'interpol', 'interpolate', + 'interval_volume', 'int_2d', 'int_3d', 'int_tabulated', + 'invert', 'ioctl', 'iopen', 'iplot', 'ipolygon', + 'ipolyline', 'iputdata', 'iregister', 'ireset', 'iresolve', + 'irotate', 'ir_filter', 'isa', 'isave', 'iscale', + 'isetcurrent', 'isetproperty', 'ishft', 'isocontour', + 'isosurface', 'isurface', 'itext', 'itranslate', 'ivector', + 'ivolume', 'izoom', 'i_beta', 'journal', 'json_parse', + 'json_serialize', 'jul2greg', 'julday', 'keyword_set', + 'krig2d', 'kurtosis', 'kw_test', 'l64indgen', 'label_date', + 'label_region', 'ladfit', 'laguerre', 'laplacian', + 'la_choldc', 'la_cholmprove', 'la_cholsol', 'la_determ', + 'la_eigenproblem', 'la_eigenql', 'la_eigenvec', 'la_elmhes', + 'la_gm_linear_model', 'la_hqr', 'la_invert', + 'la_least_squares', 'la_least_square_equality', + 'la_linear_equation', 'la_ludc', 'la_lumprove', 'la_lusol', + 'la_svd', 'la_tridc', 'la_trimprove', 'la_triql', + 'la_trired', 'la_trisol', 'least_squares_filter', 'leefilt', + 'legend', 'legendre', 'linbcg', 'lindgen', 'linfit', + 'linkimage', 'list', 'll_arc_distance', 'lmfit', 'lmgr', + 'lngamma', 'lnp_test', 'loadct', 'locale_get', + 'logical_and', 'logical_or', 'logical_true', 'lon64arr', + 'lonarr', 'long', 'long64', 'lsode', 'ludc', 'lumprove', + 'lusol', 'lu_complex', 'machar', 'make_array', 'make_dll', + 'make_rt', 'map', 'mapcontinents', 'mapgrid', 'map_2points', + 'map_continents', 'map_grid', 'map_image', 'map_patch', + 'map_proj_forward', 'map_proj_image', 'map_proj_info', + 'map_proj_init', 'map_proj_inverse', 'map_set', + 'matrix_multiply', 'matrix_power', 'max', 'md_test', + 'mean', 'meanabsdev', 'mean_filter', 'median', 'memory', + 'mesh_clip', 'mesh_decimate', 'mesh_issolid', 'mesh_merge', + 'mesh_numtriangles', 'mesh_obj', 'mesh_smooth', + 'mesh_surfacearea', 'mesh_validate', 'mesh_volume', + 'message', 'min', 'min_curve_surf', 'mk_html_help', + 'modifyct', 'moment', 'morph_close', 'morph_distance', + 'morph_gradient', 'morph_hitormiss', 'morph_open', + 'morph_thin', 'morph_tophat', 'multi', 'm_correlate', + 'ncdf_\w*', 'newton', 'noise_hurl', 'noise_pick', + 'noise_scatter', 'noise_slur', 'norm', 'n_elements', + 'n_params', 'n_tags', 'objarr', 'obj_class', 'obj_destroy', + 'obj_hasmethod', 'obj_isa', 'obj_new', 'obj_valid', + 'online_help', 'on_error', 'open', 'oplot', 'oploterr', + 'parse_url', 'particle_trace', 'path_cache', 'path_sep', + 'pcomp', 'plot', 'plot3d', 'ploterr', 'plots', 'plot_3dbox', + 'plot_field', 'pnt_line', 'point_lun', 'polarplot', + 'polar_contour', 'polar_surface', 'poly', 'polyfill', + 'polyfillv', 'polygon', 'polyline', 'polyshade', 'polywarp', + 'poly_2d', 'poly_area', 'poly_fit', 'popd', 'powell', + 'pref_commit', 'pref_get', 'pref_set', 'prewitt', 'primes', + 'print', 'printd', 'product', 'profile', 'profiler', + 'profiles', 'project_vol', 'psafm', 'pseudo', + 'ps_show_fonts', 'ptrarr', 'ptr_free', 'ptr_new', + 'ptr_valid', 'pushd', 'p_correlate', 'qgrid3', 'qhull', + 'qromb', 'qromo', 'qsimp', 'query_ascii', 'query_bmp', + 'query_csv', 'query_dicom', 'query_gif', 'query_image', + 'query_jpeg', 'query_jpeg2000', 'query_mrsid', 'query_pict', + 'query_png', 'query_ppm', 'query_srf', 'query_tiff', + 'query_wav', 'radon', 'randomn', 'randomu', 'ranks', + 'rdpix', 'read', 'reads', 'readu', 'read_ascii', + 'read_binary', 'read_bmp', 'read_csv', 'read_dicom', + 'read_gif', 'read_image', 'read_interfile', 'read_jpeg', + 'read_jpeg2000', 'read_mrsid', 'read_pict', 'read_png', + 'read_ppm', 'read_spr', 'read_srf', 'read_sylk', + 'read_tiff', 'read_wav', 'read_wave', 'read_x11_bitmap', + 'read_xwd', 'real_part', 'rebin', 'recall_commands', + 'recon3', 'reduce_colors', 'reform', 'region_grow', + 'register_cursor', 'regress', 'replicate', + 'replicate_inplace', 'resolve_all', 'resolve_routine', + 'restore', 'retall', 'return', 'reverse', 'rk4', 'roberts', + 'rot', 'rotate', 'round', 'routine_filepath', + 'routine_info', 'rs_test', 'r_correlate', 'r_test', + 'save', 'savgol', 'scale3', 'scale3d', 'scope_level', + 'scope_traceback', 'scope_varfetch', 'scope_varname', + 'search2d', 'search3d', 'sem_create', 'sem_delete', + 'sem_lock', 'sem_release', 'setenv', 'set_plot', + 'set_shading', 'sfit', 'shade_surf', 'shade_surf_irr', + 'shade_volume', 'shift', 'shift_diff', 'shmdebug', 'shmmap', + 'shmunmap', 'shmvar', 'show3', 'showfont', 'simplex', 'sin', + 'sindgen', 'sinh', 'size', 'skewness', 'skip_lun', + 'slicer3', 'slide_image', 'smooth', 'sobel', 'socket', + 'sort', 'spawn', 'spher_harm', 'sph_4pnt', 'sph_scat', + 'spline', 'spline_p', 'spl_init', 'spl_interp', 'sprsab', + 'sprsax', 'sprsin', 'sprstp', 'sqrt', 'standardize', + 'stddev', 'stop', 'strarr', 'strcmp', 'strcompress', + 'streamline', 'stregex', 'stretch', 'string', 'strjoin', + 'strlen', 'strlowcase', 'strmatch', 'strmessage', 'strmid', + 'strpos', 'strput', 'strsplit', 'strtrim', 'struct_assign', + 'struct_hide', 'strupcase', 'surface', 'surfr', 'svdc', + 'svdfit', 'svsol', 'swap_endian', 'swap_endian_inplace', + 'symbol', 'systime', 's_test', 't3d', 'tag_names', 'tan', + 'tanh', 'tek_color', 'temporary', 'tetra_clip', + 'tetra_surface', 'tetra_volume', 'text', 'thin', 'threed', + 'timegen', 'time_test2', 'tm_test', 'total', 'trace', + 'transpose', 'triangulate', 'trigrid', 'triql', 'trired', + 'trisol', 'tri_surf', 'truncate_lun', 'ts_coef', 'ts_diff', + 'ts_fcast', 'ts_smooth', 'tv', 'tvcrs', 'tvlct', 'tvrd', + 'tvscl', 'typename', 't_cvt', 't_pdf', 'uindgen', 'uint', + 'uintarr', 'ul64indgen', 'ulindgen', 'ulon64arr', 'ulonarr', + 'ulong', 'ulong64', 'uniq', 'unsharp_mask', 'usersym', + 'value_locate', 'variance', 'vector', 'vector_field', 'vel', + 'velovect', 'vert_t3d', 'voigt', 'voronoi', 'voxel_proj', + 'wait', 'warp_tri', 'watershed', 'wdelete', 'wf_draw', + 'where', 'widget_base', 'widget_button', 'widget_combobox', + 'widget_control', 'widget_displaycontextmen', 'widget_draw', + 'widget_droplist', 'widget_event', 'widget_info', + 'widget_label', 'widget_list', 'widget_propertysheet', + 'widget_slider', 'widget_tab', 'widget_table', + 'widget_text', 'widget_tree', 'widget_tree_move', + 'widget_window', 'wiener_filter', 'window', 'writeu', + 'write_bmp', 'write_csv', 'write_gif', 'write_image', + 'write_jpeg', 'write_jpeg2000', 'write_nrif', 'write_pict', + 'write_png', 'write_ppm', 'write_spr', 'write_srf', + 'write_sylk', 'write_tiff', 'write_wav', 'write_wave', + 'wset', 'wshow', 'wtn', 'wv_applet', 'wv_cwt', + 'wv_cw_wavelet', 'wv_denoise', 'wv_dwt', 'wv_fn_coiflet', + 'wv_fn_daubechies', 'wv_fn_gaussian', 'wv_fn_haar', + 'wv_fn_morlet', 'wv_fn_paul', 'wv_fn_symlet', + 'wv_import_data', 'wv_import_wavelet', 'wv_plot3d_wps', + 'wv_plot_multires', 'wv_pwt', 'wv_tool_denoise', + 'xbm_edit', 'xdisplayfile', 'xdxf', 'xfont', + 'xinteranimate', 'xloadct', 'xmanager', 'xmng_tmpl', + 'xmtool', 'xobjview', 'xobjview_rotate', + 'xobjview_write_image', 'xpalette', 'xpcolor', 'xplot3d', + 'xregistered', 'xroi', 'xsq_test', 'xsurface', 'xvaredit', + 'xvolume', 'xvolume_rotate', 'xvolume_write_image', + 'xyouts', 'zoom', 'zoom_24') + """Functions from: http://www.exelisvis.com/docs/routines-1.html""" + + tokens = { + 'root': [ + (r'^\s*;.*?\n', Comment.Singleline), + (words(_RESERVED, prefix=r'\b', suffix=r'\b'), Keyword), + (words(_BUILTIN_LIB, prefix=r'\b', suffix=r'\b'), Name.Builtin), + (r'\+=|-=|\^=|\*=|/=|#=|##=|<=|>=|=', Operator), + (r'\+\+|--|->|\+|-|##|#|\*|/|<|>|&&|\^|~|\|\|\?|:', Operator), + (r'\b(mod=|lt=|le=|eq=|ne=|ge=|gt=|not=|and=|or=|xor=)', Operator), + (r'\b(mod|lt|le|eq|ne|ge|gt|not|and|or|xor)\b', Operator), + (r'"[^\"]*"', String.Double), + (r"'[^\']*'", String.Single), + (r'\b[+\-]?([0-9]*\.[0-9]+|[0-9]+\.[0-9]*)(D|E)?([+\-]?[0-9]+)?\b', + Number.Float), + (r'\b\'[+\-]?[0-9A-F]+\'X(U?(S?|L{1,2})|B)\b', Number.Hex), + (r'\b\'[+\-]?[0-7]+\'O(U?(S?|L{1,2})|B)\b', Number.Oct), + (r'\b[+\-]?[0-9]+U?L{1,2}\b', Number.Integer.Long), + (r'\b[+\-]?[0-9]+U?S?\b', Number.Integer), + (r'\b[+\-]?[0-9]+B\b', Number), + (r'.', Text), + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/igor.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/igor.py new file mode 100644 index 0000000000000000000000000000000000000000..1a21fe878967fa58131061d5b0ad2d5c62503ffb --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/igor.py @@ -0,0 +1,288 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.igor + ~~~~~~~~~~~~~~~~~~~~ + + Lexers for Igor Pro. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, words +from pygments.token import Text, Comment, Keyword, Name, String + +__all__ = ['IgorLexer'] + + +class IgorLexer(RegexLexer): + """ + Pygments Lexer for Igor Pro procedure files (.ipf). + See http://www.wavemetrics.com/ and http://www.igorexchange.com/. + + .. versionadded:: 2.0 + """ + + name = 'Igor' + aliases = ['igor', 'igorpro'] + filenames = ['*.ipf'] + mimetypes = ['text/ipf'] + + flags = re.IGNORECASE | re.MULTILINE + + flowControl = ( + 'if', 'else', 'elseif', 'endif', 'for', 'endfor', 'strswitch', 'switch', + 'case', 'default', 'endswitch', 'do', 'while', 'try', 'catch', 'endtry', + 'break', 'continue', 'return', 'AbortOnRTE', 'AbortOnValue' + ) + types = ( + 'variable', 'string', 'constant', 'strconstant', 'NVAR', 'SVAR', 'WAVE', + 'STRUCT', 'dfref', 'funcref', 'char', 'uchar', 'int16', 'uint16', 'int32', + 'uint32', 'int64', 'uint64', 'float', 'double' + ) + keywords = ( + 'override', 'ThreadSafe', 'MultiThread', 'static', 'Proc', + 'Picture', 'Prompt', 'DoPrompt', 'macro', 'window', 'function', 'end', + 'Structure', 'EndStructure', 'EndMacro', 'Menu', 'SubMenu' + ) + operations = ( + 'Abort', 'AddFIFOData', 'AddFIFOVectData', 'AddMovieAudio', 'AddMovieFrame', + 'AdoptFiles', 'APMath', 'Append', 'AppendImage', 'AppendLayoutObject', + 'AppendMatrixContour', 'AppendText', 'AppendToGizmo', 'AppendToGraph', + 'AppendToLayout', 'AppendToTable', 'AppendXYZContour', 'AutoPositionWindow', + 'BackgroundInfo', 'Beep', 'BoundingBall', 'BoxSmooth', 'BrowseURL', 'BuildMenu', + 'Button', 'cd', 'Chart', 'CheckBox', 'CheckDisplayed', 'ChooseColor', 'Close', + 'CloseHelp', 'CloseMovie', 'CloseProc', 'ColorScale', 'ColorTab2Wave', + 'Concatenate', 'ControlBar', 'ControlInfo', 'ControlUpdate', + 'ConvertGlobalStringTextEncoding', 'ConvexHull', 'Convolve', 'CopyFile', + 'CopyFolder', 'CopyScales', 'Correlate', 'CreateAliasShortcut', 'CreateBrowser', + 'Cross', 'CtrlBackground', 'CtrlFIFO', 'CtrlNamedBackground', 'Cursor', + 'CurveFit', 'CustomControl', 'CWT', 'Debugger', 'DebuggerOptions', 'DefaultFont', + 'DefaultGuiControls', 'DefaultGuiFont', 'DefaultTextEncoding', 'DefineGuide', + 'DelayUpdate', 'DeleteAnnotations', 'DeleteFile', 'DeleteFolder', 'DeletePoints', + 'Differentiate', 'dir', 'Display', 'DisplayHelpTopic', 'DisplayProcedure', + 'DoAlert', 'DoIgorMenu', 'DoUpdate', 'DoWindow', 'DoXOPIdle', 'DPSS', + 'DrawAction', 'DrawArc', 'DrawBezier', 'DrawLine', 'DrawOval', 'DrawPICT', + 'DrawPoly', 'DrawRect', 'DrawRRect', 'DrawText', 'DrawUserShape', 'DSPDetrend', + 'DSPPeriodogram', 'Duplicate', 'DuplicateDataFolder', 'DWT', 'EdgeStats', 'Edit', + 'ErrorBars', 'EstimatePeakSizes', 'Execute', 'ExecuteScriptText', + 'ExperimentModified', 'ExportGizmo', 'Extract', 'FastGaussTransform', 'FastOp', + 'FBinRead', 'FBinWrite', 'FFT', 'FIFOStatus', 'FIFO2Wave', 'FilterFIR', + 'FilterIIR', 'FindAPeak', 'FindContour', 'FindDuplicates', 'FindLevel', + 'FindLevels', 'FindPeak', 'FindPointsInPoly', 'FindRoots', 'FindSequence', + 'FindValue', 'FPClustering', 'fprintf', 'FReadLine', 'FSetPos', 'FStatus', + 'FTPCreateDirectory', 'FTPDelete', 'FTPDownload', 'FTPUpload', 'FuncFit', + 'FuncFitMD', 'GBLoadWave', 'GetAxis', 'GetCamera', 'GetFileFolderInfo', + 'GetGizmo', 'GetLastUserMenuInfo', 'GetMarquee', 'GetMouse', 'GetSelection', + 'GetWindow', 'GPIBReadBinaryWave2', 'GPIBReadBinary2', 'GPIBReadWave2', + 'GPIBRead2', 'GPIBWriteBinaryWave2', 'GPIBWriteBinary2', 'GPIBWriteWave2', + 'GPIBWrite2', 'GPIB2', 'GraphNormal', 'GraphWaveDraw', 'GraphWaveEdit', 'Grep', + 'GroupBox', 'Hanning', 'HDF5CloseFile', 'HDF5CloseGroup', 'HDF5ConvertColors', + 'HDF5CreateFile', 'HDF5CreateGroup', 'HDF5CreateLink', 'HDF5Dump', + 'HDF5DumpErrors', 'HDF5DumpState', 'HDF5ListAttributes', 'HDF5ListGroup', + 'HDF5LoadData', 'HDF5LoadGroup', 'HDF5LoadImage', 'HDF5OpenFile', 'HDF5OpenGroup', + 'HDF5SaveData', 'HDF5SaveGroup', 'HDF5SaveImage', 'HDF5TestOperation', + 'HDF5UnlinkObject', 'HideIgorMenus', 'HideInfo', 'HideProcedures', 'HideTools', + 'HilbertTransform', 'Histogram', 'ICA', 'IFFT', 'ImageAnalyzeParticles', + 'ImageBlend', 'ImageBoundaryToMask', 'ImageEdgeDetection', 'ImageFileInfo', + 'ImageFilter', 'ImageFocus', 'ImageFromXYZ', 'ImageGenerateROIMask', 'ImageGLCM', + 'ImageHistModification', 'ImageHistogram', 'ImageInterpolate', 'ImageLineProfile', + 'ImageLoad', 'ImageMorphology', 'ImageRegistration', 'ImageRemoveBackground', + 'ImageRestore', 'ImageRotate', 'ImageSave', 'ImageSeedFill', 'ImageSkeleton3d', + 'ImageSnake', 'ImageStats', 'ImageThreshold', 'ImageTransform', + 'ImageUnwrapPhase', 'ImageWindow', 'IndexSort', 'InsertPoints', 'Integrate', + 'IntegrateODE', 'Integrate2D', 'Interpolate2', 'Interpolate3D', 'Interp3DPath', + 'JCAMPLoadWave', 'JointHistogram', 'KillBackground', 'KillControl', + 'KillDataFolder', 'KillFIFO', 'KillFreeAxis', 'KillPath', 'KillPICTs', + 'KillStrings', 'KillVariables', 'KillWaves', 'KillWindow', 'KMeans', 'Label', + 'Layout', 'LayoutPageAction', 'LayoutSlideShow', 'Legend', + 'LinearFeedbackShiftRegister', 'ListBox', 'LoadData', 'LoadPackagePreferences', + 'LoadPICT', 'LoadWave', 'Loess', 'LombPeriodogram', 'Make', 'MakeIndex', + 'MarkPerfTestTime', 'MatrixConvolve', 'MatrixCorr', 'MatrixEigenV', + 'MatrixFilter', 'MatrixGaussJ', 'MatrixGLM', 'MatrixInverse', 'MatrixLinearSolve', + 'MatrixLinearSolveTD', 'MatrixLLS', 'MatrixLUBkSub', 'MatrixLUD', 'MatrixLUDTD', + 'MatrixMultiply', 'MatrixOP', 'MatrixSchur', 'MatrixSolve', 'MatrixSVBkSub', + 'MatrixSVD', 'MatrixTranspose', 'MeasureStyledText', 'MLLoadWave', 'Modify', + 'ModifyBrowser', 'ModifyCamera', 'ModifyContour', 'ModifyControl', + 'ModifyControlList', 'ModifyFreeAxis', 'ModifyGizmo', 'ModifyGraph', + 'ModifyImage', 'ModifyLayout', 'ModifyPanel', 'ModifyTable', 'ModifyWaterfall', + 'MoveDataFolder', 'MoveFile', 'MoveFolder', 'MoveString', 'MoveSubwindow', + 'MoveVariable', 'MoveWave', 'MoveWindow', 'MultiTaperPSD', + 'MultiThreadingControl', 'NeuralNetworkRun', 'NeuralNetworkTrain', 'NewCamera', + 'NewDataFolder', 'NewFIFO', 'NewFIFOChan', 'NewFreeAxis', 'NewGizmo', 'NewImage', + 'NewLayout', 'NewMovie', 'NewNotebook', 'NewPanel', 'NewPath', 'NewWaterfall', + 'NI4882', 'Note', 'Notebook', 'NotebookAction', 'Open', 'OpenHelp', + 'OpenNotebook', 'Optimize', 'ParseOperationTemplate', 'PathInfo', 'PauseForUser', + 'PauseUpdate', 'PCA', 'PlayMovie', 'PlayMovieAction', 'PlaySound', + 'PopupContextualMenu', 'PopupMenu', 'Preferences', 'PrimeFactors', 'Print', + 'printf', 'PrintGraphs', 'PrintLayout', 'PrintNotebook', 'PrintSettings', + 'PrintTable', 'Project', 'PulseStats', 'PutScrapText', 'pwd', 'Quit', + 'RatioFromNumber', 'Redimension', 'Remove', 'RemoveContour', 'RemoveFromGizmo', + 'RemoveFromGraph', 'RemoveFromLayout', 'RemoveFromTable', 'RemoveImage', + 'RemoveLayoutObjects', 'RemovePath', 'Rename', 'RenameDataFolder', 'RenamePath', + 'RenamePICT', 'RenameWindow', 'ReorderImages', 'ReorderTraces', 'ReplaceText', + 'ReplaceWave', 'Resample', 'ResumeUpdate', 'Reverse', 'Rotate', 'Save', + 'SaveData', 'SaveExperiment', 'SaveGraphCopy', 'SaveNotebook', + 'SavePackagePreferences', 'SavePICT', 'SaveTableCopy', 'SetActiveSubwindow', + 'SetAxis', 'SetBackground', 'SetDashPattern', 'SetDataFolder', 'SetDimLabel', + 'SetDrawEnv', 'SetDrawLayer', 'SetFileFolderInfo', 'SetFormula', 'SetIgorHook', + 'SetIgorMenuMode', 'SetIgorOption', 'SetMarquee', 'SetProcessSleep', + 'SetRandomSeed', 'SetScale', 'SetVariable', 'SetWaveLock', 'SetWaveTextEncoding', + 'SetWindow', 'ShowIgorMenus', 'ShowInfo', 'ShowTools', 'Silent', 'Sleep', + 'Slider', 'Smooth', 'SmoothCustom', 'Sort', 'SortColumns', 'SoundInRecord', + 'SoundInSet', 'SoundInStartChart', 'SoundInStatus', 'SoundInStopChart', + 'SoundLoadWave', 'SoundSaveWave', 'SphericalInterpolate', 'SphericalTriangulate', + 'SplitString', 'SplitWave', 'sprintf', 'sscanf', 'Stack', 'StackWindows', + 'StatsAngularDistanceTest', 'StatsANOVA1Test', 'StatsANOVA2NRTest', + 'StatsANOVA2RMTest', 'StatsANOVA2Test', 'StatsChiTest', + 'StatsCircularCorrelationTest', 'StatsCircularMeans', 'StatsCircularMoments', + 'StatsCircularTwoSampleTest', 'StatsCochranTest', 'StatsContingencyTable', + 'StatsDIPTest', 'StatsDunnettTest', 'StatsFriedmanTest', 'StatsFTest', + 'StatsHodgesAjneTest', 'StatsJBTest', 'StatsKDE', 'StatsKendallTauTest', + 'StatsKSTest', 'StatsKWTest', 'StatsLinearCorrelationTest', + 'StatsLinearRegression', 'StatsMultiCorrelationTest', 'StatsNPMCTest', + 'StatsNPNominalSRTest', 'StatsQuantiles', 'StatsRankCorrelationTest', + 'StatsResample', 'StatsSample', 'StatsScheffeTest', 'StatsShapiroWilkTest', + 'StatsSignTest', 'StatsSRTest', 'StatsTTest', 'StatsTukeyTest', + 'StatsVariancesTest', 'StatsWatsonUSquaredTest', 'StatsWatsonWilliamsTest', + 'StatsWheelerWatsonTest', 'StatsWilcoxonRankTest', 'StatsWRCorrelationTest', + 'String', 'StructGet', 'StructPut', 'SumDimension', 'SumSeries', 'TabControl', + 'Tag', 'TextBox', 'ThreadGroupPutDF', 'ThreadStart', 'Tile', 'TileWindows', + 'TitleBox', 'ToCommandLine', 'ToolsGrid', 'Triangulate3d', 'Unwrap', 'URLRequest', + 'ValDisplay', 'Variable', 'VDTClosePort2', 'VDTGetPortList2', 'VDTGetStatus2', + 'VDTOpenPort2', 'VDTOperationsPort2', 'VDTReadBinaryWave2', 'VDTReadBinary2', + 'VDTReadHexWave2', 'VDTReadHex2', 'VDTReadWave2', 'VDTRead2', 'VDTTerminalPort2', + 'VDTWriteBinaryWave2', 'VDTWriteBinary2', 'VDTWriteHexWave2', 'VDTWriteHex2', + 'VDTWriteWave2', 'VDTWrite2', 'VDT2', 'WaveMeanStdv', 'WaveStats', + 'WaveTransform', 'wfprintf', 'WignerTransform', 'WindowFunction', 'XLLoadWave' + ) + functions = ( + 'abs', 'acos', 'acosh', 'AddListItem', 'AiryA', 'AiryAD', 'AiryB', 'AiryBD', + 'alog', 'AnnotationInfo', 'AnnotationList', 'area', 'areaXY', 'asin', 'asinh', + 'atan', 'atanh', 'atan2', 'AxisInfo', 'AxisList', 'AxisValFromPixel', 'Besseli', + 'Besselj', 'Besselk', 'Bessely', 'beta', 'betai', 'BinarySearch', + 'BinarySearchInterp', 'binomial', 'binomialln', 'binomialNoise', 'cabs', + 'CaptureHistory', 'CaptureHistoryStart', 'ceil', 'cequal', 'char2num', + 'chebyshev', 'chebyshevU', 'CheckName', 'ChildWindowList', 'CleanupName', 'cmplx', + 'cmpstr', 'conj', 'ContourInfo', 'ContourNameList', 'ContourNameToWaveRef', + 'ContourZ', 'ControlNameList', 'ConvertTextEncoding', 'cos', 'cosh', + 'cosIntegral', 'cot', 'coth', 'CountObjects', 'CountObjectsDFR', 'cpowi', + 'CreationDate', 'csc', 'csch', 'CsrInfo', 'CsrWave', 'CsrWaveRef', 'CsrXWave', + 'CsrXWaveRef', 'CTabList', 'DataFolderDir', 'DataFolderExists', + 'DataFolderRefsEqual', 'DataFolderRefStatus', 'date', 'datetime', 'DateToJulian', + 'date2secs', 'Dawson', 'DDERequestString', 'defined', 'deltax', 'digamma', + 'dilogarithm', 'DimDelta', 'DimOffset', 'DimSize', 'ei', 'enoise', 'equalWaves', + 'erf', 'erfc', 'erfcw', 'exists', 'exp', 'ExpConvExp', 'ExpConvExpFit', + 'ExpConvExpFitBL', 'ExpConvExpFit1Shape', 'ExpConvExpFit1ShapeBL', 'ExpGauss', + 'ExpGaussFit', 'ExpGaussFitBL', 'ExpGaussFit1Shape', 'ExpGaussFit1ShapeBL', + 'expInt', 'expIntegralE1', 'expNoise', 'factorial', 'fakedata', 'faverage', + 'faverageXY', 'FetchURL', 'FindDimLabel', 'FindListItem', 'floor', 'FontList', + 'FontSizeHeight', 'FontSizeStringWidth', 'FresnelCos', 'FresnelSin', + 'FuncRefInfo', 'FunctionInfo', 'FunctionList', 'FunctionPath', 'gamma', + 'gammaEuler', 'gammaInc', 'gammaNoise', 'gammln', 'gammp', 'gammq', 'Gauss', + 'GaussFit', 'GaussFitBL', 'GaussFit1Width', 'GaussFit1WidthBL', 'Gauss1D', + 'Gauss2D', 'gcd', 'GetBrowserLine', 'GetBrowserSelection', 'GetDataFolder', + 'GetDataFolderDFR', 'GetDefaultFont', 'GetDefaultFontSize', 'GetDefaultFontStyle', + 'GetDimLabel', 'GetEnvironmentVariable', 'GetErrMessage', 'GetFormula', + 'GetIndependentModuleName', 'GetIndexedObjName', 'GetIndexedObjNameDFR', + 'GetKeyState', 'GetRTErrMessage', 'GetRTError', 'GetRTLocation', 'GetRTLocInfo', + 'GetRTStackInfo', 'GetScrapText', 'GetUserData', 'GetWavesDataFolder', + 'GetWavesDataFolderDFR', 'GizmoInfo', 'GizmoScale', 'gnoise', 'GrepList', + 'GrepString', 'GuideInfo', 'GuideNameList', 'Hash', 'hcsr', 'HDF5AttributeInfo', + 'HDF5DatasetInfo', 'HDF5LibraryInfo', 'HDF5TypeInfo', 'hermite', 'hermiteGauss', + 'HyperGNoise', 'HyperGPFQ', 'HyperG0F1', 'HyperG1F1', 'HyperG2F1', 'IgorInfo', + 'IgorVersion', 'imag', 'ImageInfo', 'ImageNameList', 'ImageNameToWaveRef', + 'IndependentModuleList', 'IndexedDir', 'IndexedFile', 'Inf', 'Integrate1D', + 'interp', 'Interp2D', 'Interp3D', 'inverseERF', 'inverseERFC', 'ItemsInList', + 'JacobiCn', 'JacobiSn', 'JulianToDate', 'Laguerre', 'LaguerreA', 'LaguerreGauss', + 'LambertW', 'LayoutInfo', 'leftx', 'LegendreA', 'limit', 'ListMatch', + 'ListToTextWave', 'ListToWaveRefWave', 'ln', 'log', 'logNormalNoise', + 'LorentzianFit', 'LorentzianFitBL', 'LorentzianFit1Width', + 'LorentzianFit1WidthBL', 'lorentzianNoise', 'LowerStr', 'MacroList', 'magsqr', + 'MandelbrotPoint', 'MarcumQ', 'MatrixCondition', 'MatrixDet', 'MatrixDot', + 'MatrixRank', 'MatrixTrace', 'max', 'mean', 'median', 'min', 'mod', 'ModDate', + 'MPFXEMGPeak', 'MPFXExpConvExpPeak', 'MPFXGaussPeak', 'MPFXLorenzianPeak', + 'MPFXVoigtPeak', 'NameOfWave', 'NaN', 'NewFreeDataFolder', 'NewFreeWave', 'norm', + 'NormalizeUnicode', 'note', 'NumberByKey', 'numpnts', 'numtype', + 'NumVarOrDefault', 'num2char', 'num2istr', 'num2str', 'NVAR_Exists', + 'OperationList', 'PadString', 'PanelResolution', 'ParamIsDefault', + 'ParseFilePath', 'PathList', 'pcsr', 'Pi', 'PICTInfo', 'PICTList', + 'PixelFromAxisVal', 'pnt2x', 'poissonNoise', 'poly', 'PolygonArea', 'poly2D', + 'PossiblyQuoteName', 'ProcedureText', 'p2rect', 'qcsr', 'real', 'RemoveByKey', + 'RemoveEnding', 'RemoveFromList', 'RemoveListItem', 'ReplaceNumberByKey', + 'ReplaceString', 'ReplaceStringByKey', 'rightx', 'round', 'r2polar', 'sawtooth', + 'scaleToIndex', 'ScreenResolution', 'sec', 'sech', 'Secs2Date', 'Secs2Time', + 'SelectNumber', 'SelectString', 'SetEnvironmentVariable', 'sign', 'sin', 'sinc', + 'sinh', 'sinIntegral', 'SortList', 'SpecialCharacterInfo', 'SpecialCharacterList', + 'SpecialDirPath', 'SphericalBessJ', 'SphericalBessJD', 'SphericalBessY', + 'SphericalBessYD', 'SphericalHarmonics', 'sqrt', 'StartMSTimer', 'StatsBetaCDF', + 'StatsBetaPDF', 'StatsBinomialCDF', 'StatsBinomialPDF', 'StatsCauchyCDF', + 'StatsCauchyPDF', 'StatsChiCDF', 'StatsChiPDF', 'StatsCMSSDCDF', + 'StatsCorrelation', 'StatsDExpCDF', 'StatsDExpPDF', 'StatsErlangCDF', + 'StatsErlangPDF', 'StatsErrorPDF', 'StatsEValueCDF', 'StatsEValuePDF', + 'StatsExpCDF', 'StatsExpPDF', 'StatsFCDF', 'StatsFPDF', 'StatsFriedmanCDF', + 'StatsGammaCDF', 'StatsGammaPDF', 'StatsGeometricCDF', 'StatsGeometricPDF', + 'StatsGEVCDF', 'StatsGEVPDF', 'StatsHyperGCDF', 'StatsHyperGPDF', + 'StatsInvBetaCDF', 'StatsInvBinomialCDF', 'StatsInvCauchyCDF', 'StatsInvChiCDF', + 'StatsInvCMSSDCDF', 'StatsInvDExpCDF', 'StatsInvEValueCDF', 'StatsInvExpCDF', + 'StatsInvFCDF', 'StatsInvFriedmanCDF', 'StatsInvGammaCDF', 'StatsInvGeometricCDF', + 'StatsInvKuiperCDF', 'StatsInvLogisticCDF', 'StatsInvLogNormalCDF', + 'StatsInvMaxwellCDF', 'StatsInvMooreCDF', 'StatsInvNBinomialCDF', + 'StatsInvNCChiCDF', 'StatsInvNCFCDF', 'StatsInvNormalCDF', 'StatsInvParetoCDF', + 'StatsInvPoissonCDF', 'StatsInvPowerCDF', 'StatsInvQCDF', 'StatsInvQpCDF', + 'StatsInvRayleighCDF', 'StatsInvRectangularCDF', 'StatsInvSpearmanCDF', + 'StatsInvStudentCDF', 'StatsInvTopDownCDF', 'StatsInvTriangularCDF', + 'StatsInvUsquaredCDF', 'StatsInvVonMisesCDF', 'StatsInvWeibullCDF', + 'StatsKuiperCDF', 'StatsLogisticCDF', 'StatsLogisticPDF', 'StatsLogNormalCDF', + 'StatsLogNormalPDF', 'StatsMaxwellCDF', 'StatsMaxwellPDF', 'StatsMedian', + 'StatsMooreCDF', 'StatsNBinomialCDF', 'StatsNBinomialPDF', 'StatsNCChiCDF', + 'StatsNCChiPDF', 'StatsNCFCDF', 'StatsNCFPDF', 'StatsNCTCDF', 'StatsNCTPDF', + 'StatsNormalCDF', 'StatsNormalPDF', 'StatsParetoCDF', 'StatsParetoPDF', + 'StatsPermute', 'StatsPoissonCDF', 'StatsPoissonPDF', 'StatsPowerCDF', + 'StatsPowerNoise', 'StatsPowerPDF', 'StatsQCDF', 'StatsQpCDF', 'StatsRayleighCDF', + 'StatsRayleighPDF', 'StatsRectangularCDF', 'StatsRectangularPDF', 'StatsRunsCDF', + 'StatsSpearmanRhoCDF', 'StatsStudentCDF', 'StatsStudentPDF', 'StatsTopDownCDF', + 'StatsTriangularCDF', 'StatsTriangularPDF', 'StatsTrimmedMean', + 'StatsUSquaredCDF', 'StatsVonMisesCDF', 'StatsVonMisesNoise', 'StatsVonMisesPDF', + 'StatsWaldCDF', 'StatsWaldPDF', 'StatsWeibullCDF', 'StatsWeibullPDF', + 'StopMSTimer', 'StringByKey', 'stringCRC', 'StringFromList', 'StringList', + 'stringmatch', 'strlen', 'strsearch', 'StrVarOrDefault', 'str2num', 'StudentA', + 'StudentT', 'sum', 'SVAR_Exists', 'TableInfo', 'TagVal', 'TagWaveRef', 'tan', + 'tanh', 'TextEncodingCode', 'TextEncodingName', 'TextFile', 'ThreadGroupCreate', + 'ThreadGroupGetDF', 'ThreadGroupGetDFR', 'ThreadGroupRelease', 'ThreadGroupWait', + 'ThreadProcessorCount', 'ThreadReturnValue', 'ticks', 'time', 'TraceFromPixel', + 'TraceInfo', 'TraceNameList', 'TraceNameToWaveRef', 'trunc', 'UniqueName', + 'UnPadString', 'UnsetEnvironmentVariable', 'UpperStr', 'URLDecode', 'URLEncode', + 'VariableList', 'Variance', 'vcsr', 'Voigt', 'VoigtFit', 'VoigtFitBL', + 'VoigtFit1Shape', 'VoigtFit1ShapeBL', 'VoigtFit1Shape1Width', + 'VoigtFit1Shape1WidthBL', 'VoigtFunc', 'WaveCRC', 'WaveDims', 'WaveExists', + 'WaveInfo', 'WaveList', 'WaveMax', 'WaveMin', 'WaveName', 'WaveRefIndexed', + 'WaveRefIndexedDFR', 'WaveRefsEqual', 'WaveRefWaveToList', 'WaveTextEncoding', + 'WaveType', 'WaveUnits', 'WhichListItem', 'WinList', 'WinName', 'WinRecreation', + 'WinType', 'WMFindWholeWord', 'WNoise', 'xcsr', 'XWaveName', 'XWaveRefFromTrace', + 'x2pnt', 'zcsr', 'ZernikeR', 'zeta' + ) + + tokens = { + 'root': [ + (r'//.*$', Comment.Single), + (r'"([^"\\]|\\.)*"', String), + # Flow Control. + (words(flowControl, prefix=r'\b', suffix=r'\b'), Keyword), + # Types. + (words(types, prefix=r'\b', suffix=r'\b'), Keyword.Type), + # Keywords. + (words(keywords, prefix=r'\b', suffix=r'\b'), Keyword.Reserved), + # Built-in operations. + (words(operations, prefix=r'\b', suffix=r'\b'), Name.Class), + # Built-in functions. + (words(functions, prefix=r'\b', suffix=r'\b'), Name.Function), + # Compiler directives. + (r'^#(include|pragma|define|undef|ifdef|ifndef|if|elif|else|endif)', + Name.Decorator), + (r'[^a-z"/]+$', Text), + (r'.', Text), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/inferno.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/inferno.py new file mode 100644 index 0000000000000000000000000000000000000000..5fc5a0bad34b927a5955c7d5f8e7d0c03e5df60f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/inferno.py @@ -0,0 +1,96 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.inferno + ~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Inferno os and all the related stuff. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, default +from pygments.token import Punctuation, Text, Comment, Operator, Keyword, \ + Name, String, Number + +__all__ = ['LimboLexer'] + + +class LimboLexer(RegexLexer): + """ + Lexer for `Limbo programming language `_ + + TODO: + - maybe implement better var declaration highlighting + - some simple syntax error highlighting + + .. versionadded:: 2.0 + """ + name = 'Limbo' + aliases = ['limbo'] + filenames = ['*.b'] + mimetypes = ['text/limbo'] + + tokens = { + 'whitespace': [ + (r'^(\s*)([a-zA-Z_]\w*:(\s*)\n)', + bygroups(Text, Name.Label)), + (r'\n', Text), + (r'\s+', Text), + (r'#(\n|(.|\n)*?[^\\]\n)', Comment.Single), + ], + 'string': [ + (r'"', String, '#pop'), + (r'\\([\\abfnrtv"\']|x[a-fA-F0-9]{2,4}|' + r'u[a-fA-F0-9]{4}|U[a-fA-F0-9]{8}|[0-7]{1,3})', String.Escape), + (r'[^\\"\n]+', String), # all other characters + (r'\\', String), # stray backslash + ], + 'statements': [ + (r'"', String, 'string'), + (r"'(\\.|\\[0-7]{1,3}|\\x[a-fA-F0-9]{1,2}|[^\\\'\n])'", String.Char), + (r'(\d+\.\d*|\.\d+|\d+)[eE][+-]?\d+', Number.Float), + (r'(\d+\.\d*|\.\d+|\d+[fF])', Number.Float), + (r'16r[0-9a-fA-F]+', Number.Hex), + (r'8r[0-7]+', Number.Oct), + (r'((([1-3]\d)|([2-9]))r)?(\d+)', Number.Integer), + (r'[()\[\],.]', Punctuation), + (r'[~!%^&*+=|?:<>/-]|(->)|(<-)|(=>)|(::)', Operator), + (r'(alt|break|case|continue|cyclic|do|else|exit' + r'for|hd|if|implement|import|include|len|load|or' + r'pick|return|spawn|tagof|tl|to|while)\b', Keyword), + (r'(byte|int|big|real|string|array|chan|list|adt' + r'|fn|ref|of|module|self|type)\b', Keyword.Type), + (r'(con|iota|nil)\b', Keyword.Constant), + ('[a-zA-Z_]\w*', Name), + ], + 'statement' : [ + include('whitespace'), + include('statements'), + ('[{}]', Punctuation), + (';', Punctuation, '#pop'), + ], + 'root': [ + include('whitespace'), + default('statement'), + ], + } + + def analyse_text(text): + # Any limbo module implements something + if re.search(r'^implement \w+;', text, re.MULTILINE): + return 0.7 + +# TODO: +# - Make lexers for: +# - asm sources +# - man pages +# - mkfiles +# - module definitions +# - namespace definitions +# - shell scripts +# - maybe keyfiles and fonts +# they all seem to be quite similar to their equivalents +# from unix world, so there should not be a lot of problems diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/installers.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/installers.py new file mode 100644 index 0000000000000000000000000000000000000000..0323d140925d97b02da198d58769e2ef504ac015 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/installers.py @@ -0,0 +1,322 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.installers + ~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for installer/packager DSLs and formats. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, using, this, default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Punctuation, Generic, Number, Whitespace + +__all__ = ['NSISLexer', 'RPMSpecLexer', 'SourcesListLexer', + 'DebianControlLexer'] + + +class NSISLexer(RegexLexer): + """ + For `NSIS `_ scripts. + + .. versionadded:: 1.6 + """ + name = 'NSIS' + aliases = ['nsis', 'nsi', 'nsh'] + filenames = ['*.nsi', '*.nsh'] + mimetypes = ['text/x-nsis'] + + flags = re.IGNORECASE + + tokens = { + 'root': [ + (r'[;#].*\n', Comment), + (r"'.*?'", String.Single), + (r'"', String.Double, 'str_double'), + (r'`', String.Backtick, 'str_backtick'), + include('macro'), + include('interpol'), + include('basic'), + (r'\$\{[a-z_|][\w|]*\}', Keyword.Pseudo), + (r'/[a-z_]\w*', Name.Attribute), + ('.', Text), + ], + 'basic': [ + (r'(\n)(Function)(\s+)([._a-z][.\w]*)\b', + bygroups(Text, Keyword, Text, Name.Function)), + (r'\b([_a-z]\w*)(::)([a-z][a-z0-9]*)\b', + bygroups(Keyword.Namespace, Punctuation, Name.Function)), + (r'\b([_a-z]\w*)(:)', bygroups(Name.Label, Punctuation)), + (r'(\b[ULS]|\B)([!<>=]?=|\<\>?|\>)\B', Operator), + (r'[|+-]', Operator), + (r'\\', Punctuation), + (r'\b(Abort|Add(?:BrandingImage|Size)|' + r'Allow(?:RootDirInstall|SkipFiles)|AutoCloseWindow|' + r'BG(?:Font|Gradient)|BrandingText|BringToFront|Call(?:InstDLL)?|' + r'(?:Sub)?Caption|ChangeUI|CheckBitmap|ClearErrors|CompletedText|' + r'ComponentText|CopyFiles|CRCCheck|' + r'Create(?:Directory|Font|Shortcut)|Delete(?:INI(?:Sec|Str)|' + r'Reg(?:Key|Value))?|DetailPrint|DetailsButtonText|' + r'Dir(?:Show|Text|Var|Verify)|(?:Disabled|Enabled)Bitmap|' + r'EnableWindow|EnumReg(?:Key|Value)|Exch|Exec(?:Shell|Wait)?|' + r'ExpandEnvStrings|File(?:BufSize|Close|ErrorText|Open|' + r'Read(?:Byte)?|Seek|Write(?:Byte)?)?|' + r'Find(?:Close|First|Next|Window)|FlushINI|Function(?:End)?|' + r'Get(?:CurInstType|CurrentAddress|DlgItem|DLLVersion(?:Local)?|' + r'ErrorLevel|FileTime(?:Local)?|FullPathName|FunctionAddress|' + r'InstDirError|LabelAddress|TempFileName)|' + r'Goto|HideWindow|Icon|' + r'If(?:Abort|Errors|FileExists|RebootFlag|Silent)|' + r'InitPluginsDir|Install(?:ButtonText|Colors|Dir(?:RegKey)?)|' + r'Inst(?:ProgressFlags|Type(?:[GS]etText)?)|Int(?:CmpU?|Fmt|Op)|' + r'IsWindow|LangString(?:UP)?|' + r'License(?:BkColor|Data|ForceSelection|LangString|Text)|' + r'LoadLanguageFile|LockWindow|Log(?:Set|Text)|MessageBox|' + r'MiscButtonText|Name|Nop|OutFile|(?:Uninst)?Page(?:Ex(?:End)?)?|' + r'PluginDir|Pop|Push|Quit|Read(?:(?:Env|INI|Reg)Str|RegDWORD)|' + r'Reboot|(?:Un)?RegDLL|Rename|RequestExecutionLevel|ReserveFile|' + r'Return|RMDir|SearchPath|Section(?:Divider|End|' + r'(?:(?:Get|Set)(?:Flags|InstTypes|Size|Text))|Group(?:End)?|In)?|' + r'SendMessage|Set(?:AutoClose|BrandingImage|Compress(?:ionLevel|' + r'or(?:DictSize)?)?|CtlColors|CurInstType|DatablockOptimize|' + r'DateSave|Details(?:Print|View)|Error(?:s|Level)|FileAttributes|' + r'Font|OutPath|Overwrite|PluginUnload|RebootFlag|ShellVarContext|' + r'Silent|StaticBkColor)|' + r'Show(?:(?:I|Uni)nstDetails|Window)|Silent(?:Un)?Install|Sleep|' + r'SpaceTexts|Str(?:CmpS?|Cpy|Len)|SubSection(?:End)?|' + r'Uninstall(?:ButtonText|(?:Sub)?Caption|EXEName|Icon|Text)|' + r'UninstPage|Var|VI(?:AddVersionKey|ProductVersion)|WindowIcon|' + r'Write(?:INIStr|Reg(:?Bin|DWORD|(?:Expand)?Str)|Uninstaller)|' + r'XPStyle)\b', Keyword), + (r'\b(CUR|END|(?:FILE_ATTRIBUTE_)?' + r'(?:ARCHIVE|HIDDEN|NORMAL|OFFLINE|READONLY|SYSTEM|TEMPORARY)|' + r'HK(CC|CR|CU|DD|LM|PD|U)|' + r'HKEY_(?:CLASSES_ROOT|CURRENT_(?:CONFIG|USER)|DYN_DATA|' + r'LOCAL_MACHINE|PERFORMANCE_DATA|USERS)|' + r'ID(?:ABORT|CANCEL|IGNORE|NO|OK|RETRY|YES)|' + r'MB_(?:ABORTRETRYIGNORE|DEFBUTTON[1-4]|' + r'ICON(?:EXCLAMATION|INFORMATION|QUESTION|STOP)|' + r'OK(?:CANCEL)?|RETRYCANCEL|RIGHT|SETFOREGROUND|TOPMOST|USERICON|' + r'YESNO(?:CANCEL)?)|SET|SHCTX|' + r'SW_(?:HIDE|SHOW(?:MAXIMIZED|MINIMIZED|NORMAL))|' + r'admin|all|auto|both|bottom|bzip2|checkbox|colored|current|false|' + r'force|hide|highest|if(?:diff|newer)|lastused|leave|left|' + r'listonly|lzma|nevershow|none|normal|off|on|pop|push|' + r'radiobuttons|right|show|silent|silentlog|smooth|textonly|top|' + r'true|try|user|zlib)\b', Name.Constant), + ], + 'macro': [ + (r'\!(addincludedir(?:dir)?|addplugindir|appendfile|cd|define|' + r'delfilefile|echo(?:message)?|else|endif|error|execute|' + r'if(?:macro)?n?(?:def)?|include|insertmacro|macro(?:end)?|packhdr|' + r'search(?:parse|replace)|system|tempfilesymbol|undef|verbose|' + r'warning)\b', Comment.Preproc), + ], + 'interpol': [ + (r'\$(R?[0-9])', Name.Builtin.Pseudo), # registers + (r'\$(ADMINTOOLS|APPDATA|CDBURN_AREA|COOKIES|COMMONFILES(?:32|64)|' + r'DESKTOP|DOCUMENTS|EXE(?:DIR|FILE|PATH)|FAVORITES|FONTS|HISTORY|' + r'HWNDPARENT|INTERNET_CACHE|LOCALAPPDATA|MUSIC|NETHOOD|PICTURES|' + r'PLUGINSDIR|PRINTHOOD|PROFILE|PROGRAMFILES(?:32|64)|QUICKLAUNCH|' + r'RECENT|RESOURCES(?:_LOCALIZED)?|SENDTO|SM(?:PROGRAMS|STARTUP)|' + r'STARTMENU|SYSDIR|TEMP(?:LATES)?|VIDEOS|WINDIR|\{NSISDIR\})', + Name.Builtin), + (r'\$(CMDLINE|INSTDIR|OUTDIR|LANGUAGE)', Name.Variable.Global), + (r'\$[a-z_]\w*', Name.Variable), + ], + 'str_double': [ + (r'"', String, '#pop'), + (r'\$(\\[nrt"]|\$)', String.Escape), + include('interpol'), + (r'.', String.Double), + ], + 'str_backtick': [ + (r'`', String, '#pop'), + (r'\$(\\[nrt"]|\$)', String.Escape), + include('interpol'), + (r'.', String.Double), + ], + } + + +class RPMSpecLexer(RegexLexer): + """ + For RPM ``.spec`` files. + + .. versionadded:: 1.6 + """ + + name = 'RPMSpec' + aliases = ['spec'] + filenames = ['*.spec'] + mimetypes = ['text/x-rpm-spec'] + + _directives = ('(?:package|prep|build|install|clean|check|pre[a-z]*|' + 'post[a-z]*|trigger[a-z]*|files)') + + tokens = { + 'root': [ + (r'#.*\n', Comment), + include('basic'), + ], + 'description': [ + (r'^(%' + _directives + ')(.*)$', + bygroups(Name.Decorator, Text), '#pop'), + (r'\n', Text), + (r'.', Text), + ], + 'changelog': [ + (r'\*.*\n', Generic.Subheading), + (r'^(%' + _directives + ')(.*)$', + bygroups(Name.Decorator, Text), '#pop'), + (r'\n', Text), + (r'.', Text), + ], + 'string': [ + (r'"', String.Double, '#pop'), + (r'\\([\\abfnrtv"\']|x[a-fA-F0-9]{2,4}|[0-7]{1,3})', String.Escape), + include('interpol'), + (r'.', String.Double), + ], + 'basic': [ + include('macro'), + (r'(?i)^(Name|Version|Release|Epoch|Summary|Group|License|Packager|' + r'Vendor|Icon|URL|Distribution|Prefix|Patch[0-9]*|Source[0-9]*|' + r'Requires\(?[a-z]*\)?|[a-z]+Req|Obsoletes|Suggests|Provides|Conflicts|' + r'Build[a-z]+|[a-z]+Arch|Auto[a-z]+)(:)(.*)$', + bygroups(Generic.Heading, Punctuation, using(this))), + (r'^%description', Name.Decorator, 'description'), + (r'^%changelog', Name.Decorator, 'changelog'), + (r'^(%' + _directives + ')(.*)$', bygroups(Name.Decorator, Text)), + (r'%(attr|defattr|dir|doc(?:dir)?|setup|config(?:ure)?|' + r'make(?:install)|ghost|patch[0-9]+|find_lang|exclude|verify)', + Keyword), + include('interpol'), + (r"'.*?'", String.Single), + (r'"', String.Double, 'string'), + (r'.', Text), + ], + 'macro': [ + (r'%define.*\n', Comment.Preproc), + (r'%\{\!\?.*%define.*\}', Comment.Preproc), + (r'(%(?:if(?:n?arch)?|else(?:if)?|endif))(.*)$', + bygroups(Comment.Preproc, Text)), + ], + 'interpol': [ + (r'%\{?__[a-z_]+\}?', Name.Function), + (r'%\{?_([a-z_]+dir|[a-z_]+path|prefix)\}?', Keyword.Pseudo), + (r'%\{\?\w+\}', Name.Variable), + (r'\$\{?RPM_[A-Z0-9_]+\}?', Name.Variable.Global), + (r'%\{[a-zA-Z]\w+\}', Keyword.Constant), + ] + } + + +class SourcesListLexer(RegexLexer): + """ + Lexer that highlights debian sources.list files. + + .. versionadded:: 0.7 + """ + + name = 'Debian Sourcelist' + aliases = ['sourceslist', 'sources.list', 'debsources'] + filenames = ['sources.list'] + mimetype = ['application/x-debian-sourceslist'] + + tokens = { + 'root': [ + (r'\s+', Text), + (r'#.*?$', Comment), + (r'^(deb(?:-src)?)(\s+)', + bygroups(Keyword, Text), 'distribution') + ], + 'distribution': [ + (r'#.*?$', Comment, '#pop'), + (r'\$\(ARCH\)', Name.Variable), + (r'[^\s$[]+', String), + (r'\[', String.Other, 'escaped-distribution'), + (r'\$', String), + (r'\s+', Text, 'components') + ], + 'escaped-distribution': [ + (r'\]', String.Other, '#pop'), + (r'\$\(ARCH\)', Name.Variable), + (r'[^\]$]+', String.Other), + (r'\$', String.Other) + ], + 'components': [ + (r'#.*?$', Comment, '#pop:2'), + (r'$', Text, '#pop:2'), + (r'\s+', Text), + (r'\S+', Keyword.Pseudo), + ] + } + + def analyse_text(text): + for line in text.splitlines(): + line = line.strip() + if line.startswith('deb ') or line.startswith('deb-src '): + return True + + +class DebianControlLexer(RegexLexer): + """ + Lexer for Debian ``control`` files and ``apt-cache show `` outputs. + + .. versionadded:: 0.9 + """ + name = 'Debian Control file' + aliases = ['control', 'debcontrol'] + filenames = ['control'] + + tokens = { + 'root': [ + (r'^(Description)', Keyword, 'description'), + (r'^(Maintainer)(:\s*)', bygroups(Keyword, Text), 'maintainer'), + (r'^((Build-)?Depends)', Keyword, 'depends'), + (r'^((?:Python-)?Version)(:\s*)(\S+)$', + bygroups(Keyword, Text, Number)), + (r'^((?:Installed-)?Size)(:\s*)(\S+)$', + bygroups(Keyword, Text, Number)), + (r'^(MD5Sum|SHA1|SHA256)(:\s*)(\S+)$', + bygroups(Keyword, Text, Number)), + (r'^([a-zA-Z\-0-9\.]*?)(:\s*)(.*?)$', + bygroups(Keyword, Whitespace, String)), + ], + 'maintainer': [ + (r'<[^>]+>', Generic.Strong), + (r'<[^>]+>$', Generic.Strong, '#pop'), + (r',\n?', Text), + (r'.', Text), + ], + 'description': [ + (r'(.*)(Homepage)(: )(\S+)', + bygroups(Text, String, Name, Name.Class)), + (r':.*\n', Generic.Strong), + (r' .*\n', Text), + default('#pop'), + ], + 'depends': [ + (r':\s*', Text), + (r'(\$)(\{)(\w+\s*:\s*\w+)', bygroups(Operator, Text, Name.Entity)), + (r'\(', Text, 'depend_vers'), + (r',', Text), + (r'\|', Operator), + (r'[\s]+', Text), + (r'[})]\s*$', Text, '#pop'), + (r'\}', Text), + (r'[^,]$', Name.Function, '#pop'), + (r'([+.a-zA-Z0-9-])(\s*)', bygroups(Name.Function, Text)), + (r'\[.*?\]', Name.Entity), + ], + 'depend_vers': [ + (r'\),', Text, '#pop'), + (r'\)[^,]', Text, '#pop:2'), + (r'([><=]+)(\s*)([^)]+)', bygroups(Operator, Text, Number)) + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/int_fiction.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/int_fiction.py new file mode 100644 index 0000000000000000000000000000000000000000..f280a56d85fe98204428e689f7332843e2490b0d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/int_fiction.py @@ -0,0 +1,1343 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.int_fiction + ~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for interactive fiction languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, using, \ + this, default, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Error, Generic + +__all__ = ['Inform6Lexer', 'Inform6TemplateLexer', 'Inform7Lexer', + 'Tads3Lexer'] + + +class Inform6Lexer(RegexLexer): + """ + For `Inform 6 `_ source code. + + .. versionadded:: 2.0 + """ + + name = 'Inform 6' + aliases = ['inform6', 'i6'] + filenames = ['*.inf'] + + flags = re.MULTILINE | re.DOTALL | re.UNICODE + + _name = r'[a-zA-Z_]\w*' + + # Inform 7 maps these four character classes to their ASCII + # equivalents. To support Inform 6 inclusions within Inform 7, + # Inform6Lexer maps them too. + _dash = u'\\-\u2010-\u2014' + _dquote = u'"\u201c\u201d' + _squote = u"'\u2018\u2019" + _newline = u'\\n\u0085\u2028\u2029' + + tokens = { + 'root': [ + (r'\A(!%%[^%s]*[%s])+' % (_newline, _newline), Comment.Preproc, + 'directive'), + default('directive') + ], + '_whitespace': [ + (r'\s+', Text), + (r'![^%s]*' % _newline, Comment.Single) + ], + 'default': [ + include('_whitespace'), + (r'\[', Punctuation, 'many-values'), # Array initialization + (r':|(?=;)', Punctuation, '#pop'), + (r'<', Punctuation), # Second angle bracket in an action statement + default(('expression', '_expression')) + ], + + # Expressions + '_expression': [ + include('_whitespace'), + (r'(?=sp\b)', Text, '#pop'), + (r'(?=[%s%s$0-9#a-zA-Z_])' % (_dquote, _squote), Text, + ('#pop', 'value')), + (r'\+\+|[%s]{1,2}(?!>)|~~?' % _dash, Operator), + (r'(?=[()\[%s,?@{:;])' % _dash, Text, '#pop') + ], + 'expression': [ + include('_whitespace'), + (r'\(', Punctuation, ('expression', '_expression')), + (r'\)', Punctuation, '#pop'), + (r'\[', Punctuation, ('#pop', 'statements', 'locals')), + (r'>(?=(\s+|(![^%s]*))*[>;])' % _newline, Punctuation), + (r'\+\+|[%s]{2}(?!>)' % _dash, Operator), + (r',', Punctuation, '_expression'), + (r'&&?|\|\|?|[=~><]?=|[%s]{1,2}>?|\.\.?[&#]?|::|[<>+*/%%]' % _dash, + Operator, '_expression'), + (r'(has|hasnt|in|notin|ofclass|or|provides)\b', Operator.Word, + '_expression'), + (r'sp\b', Name), + (r'\?~?', Name.Label, 'label?'), + (r'[@{]', Error), + default('#pop') + ], + '_assembly-expression': [ + (r'\(', Punctuation, ('#push', '_expression')), + (r'[\[\]]', Punctuation), + (r'[%s]>' % _dash, Punctuation, '_expression'), + (r'sp\b', Keyword.Pseudo), + (r';', Punctuation, '#pop:3'), + include('expression') + ], + '_for-expression': [ + (r'\)', Punctuation, '#pop:2'), + (r':', Punctuation, '#pop'), + include('expression') + ], + '_keyword-expression': [ + (r'(from|near|to)\b', Keyword, '_expression'), + include('expression') + ], + '_list-expression': [ + (r',', Punctuation, '#pop'), + include('expression') + ], + '_object-expression': [ + (r'has\b', Keyword.Declaration, '#pop'), + include('_list-expression') + ], + + # Values + 'value': [ + include('_whitespace'), + # Strings + (r'[%s][^@][%s]' % (_squote, _squote), String.Char, '#pop'), + (r'([%s])(@\{[0-9a-fA-F]{1,4}\})([%s])' % (_squote, _squote), + bygroups(String.Char, String.Escape, String.Char), '#pop'), + (r'([%s])(@.{2})([%s])' % (_squote, _squote), + bygroups(String.Char, String.Escape, String.Char), '#pop'), + (r'[%s]' % _squote, String.Single, ('#pop', 'dictionary-word')), + (r'[%s]' % _dquote, String.Double, ('#pop', 'string')), + # Numbers + (r'\$[+%s][0-9]*\.?[0-9]*([eE][+%s]?[0-9]+)?' % (_dash, _dash), + Number.Float, '#pop'), + (r'\$[0-9a-fA-F]+', Number.Hex, '#pop'), + (r'\$\$[01]+', Number.Bin, '#pop'), + (r'[0-9]+', Number.Integer, '#pop'), + # Values prefixed by hashes + (r'(##|#a\$)(%s)' % _name, bygroups(Operator, Name), '#pop'), + (r'(#g\$)(%s)' % _name, + bygroups(Operator, Name.Variable.Global), '#pop'), + (r'#[nw]\$', Operator, ('#pop', 'obsolete-dictionary-word')), + (r'(#r\$)(%s)' % _name, bygroups(Operator, Name.Function), '#pop'), + (r'#', Name.Builtin, ('#pop', 'system-constant')), + # System functions + (words(( + 'child', 'children', 'elder', 'eldest', 'glk', 'indirect', 'metaclass', + 'parent', 'random', 'sibling', 'younger', 'youngest'), suffix=r'\b'), + Name.Builtin, '#pop'), + # Metaclasses + (r'(?i)(Class|Object|Routine|String)\b', Name.Builtin, '#pop'), + # Veneer routines + (words(( + 'Box__Routine', 'CA__Pr', 'CDefArt', 'CInDefArt', 'Cl__Ms', + 'Copy__Primitive', 'CP__Tab', 'DA__Pr', 'DB__Pr', 'DefArt', 'Dynam__String', + 'EnglishNumber', 'Glk__Wrap', 'IA__Pr', 'IB__Pr', 'InDefArt', 'Main__', + 'Meta__class', 'OB__Move', 'OB__Remove', 'OC__Cl', 'OP__Pr', 'Print__Addr', + 'Print__PName', 'PrintShortName', 'RA__Pr', 'RA__Sc', 'RL__Pr', 'R_Process', + 'RT__ChG', 'RT__ChGt', 'RT__ChLDB', 'RT__ChLDW', 'RT__ChPR', 'RT__ChPrintA', + 'RT__ChPrintC', 'RT__ChPrintO', 'RT__ChPrintS', 'RT__ChPS', 'RT__ChR', + 'RT__ChSTB', 'RT__ChSTW', 'RT__ChT', 'RT__Err', 'RT__TrPS', 'RV__Pr', + 'Symb__Tab', 'Unsigned__Compare', 'WV__Pr', 'Z__Region'), + prefix='(?i)', suffix=r'\b'), + Name.Builtin, '#pop'), + # Other built-in symbols + (words(( + 'call', 'copy', 'create', 'DEBUG', 'destroy', 'DICT_CHAR_SIZE', + 'DICT_ENTRY_BYTES', 'DICT_IS_UNICODE', 'DICT_WORD_SIZE', 'false', + 'FLOAT_INFINITY', 'FLOAT_NAN', 'FLOAT_NINFINITY', 'GOBJFIELD_CHAIN', + 'GOBJFIELD_CHILD', 'GOBJFIELD_NAME', 'GOBJFIELD_PARENT', + 'GOBJFIELD_PROPTAB', 'GOBJFIELD_SIBLING', 'GOBJ_EXT_START', + 'GOBJ_TOTAL_LENGTH', 'Grammar__Version', 'INDIV_PROP_START', 'INFIX', + 'infix__watching', 'MODULE_MODE', 'name', 'nothing', 'NUM_ATTR_BYTES', 'print', + 'print_to_array', 'recreate', 'remaining', 'self', 'sender', 'STRICT_MODE', + 'sw__var', 'sys__glob0', 'sys__glob1', 'sys__glob2', 'sys_statusline_flag', + 'TARGET_GLULX', 'TARGET_ZCODE', 'temp__global2', 'temp__global3', + 'temp__global4', 'temp_global', 'true', 'USE_MODULES', 'WORDSIZE'), + prefix='(?i)', suffix=r'\b'), + Name.Builtin, '#pop'), + # Other values + (_name, Name, '#pop') + ], + # Strings + 'dictionary-word': [ + (r'[~^]+', String.Escape), + (r'[^~^\\@({%s]+' % _squote, String.Single), + (r'[({]', String.Single), + (r'@\{[0-9a-fA-F]{,4}\}', String.Escape), + (r'@.{2}', String.Escape), + (r'[%s]' % _squote, String.Single, '#pop') + ], + 'string': [ + (r'[~^]+', String.Escape), + (r'[^~^\\@({%s]+' % _dquote, String.Double), + (r'[({]', String.Double), + (r'\\', String.Escape), + (r'@(\\\s*[%s]\s*)*@((\\\s*[%s]\s*)*[0-9])*' % + (_newline, _newline), String.Escape), + (r'@(\\\s*[%s]\s*)*\{((\\\s*[%s]\s*)*[0-9a-fA-F]){,4}' + r'(\\\s*[%s]\s*)*\}' % (_newline, _newline, _newline), + String.Escape), + (r'@(\\\s*[%s]\s*)*.(\\\s*[%s]\s*)*.' % (_newline, _newline), + String.Escape), + (r'[%s]' % _dquote, String.Double, '#pop') + ], + 'plain-string': [ + (r'[^~^\\({\[\]%s]+' % _dquote, String.Double), + (r'[~^({\[\]]', String.Double), + (r'\\', String.Escape), + (r'[%s]' % _dquote, String.Double, '#pop') + ], + # Names + '_constant': [ + include('_whitespace'), + (_name, Name.Constant, '#pop'), + include('value') + ], + '_global': [ + include('_whitespace'), + (_name, Name.Variable.Global, '#pop'), + include('value') + ], + 'label?': [ + include('_whitespace'), + (_name, Name.Label, '#pop'), + default('#pop') + ], + 'variable?': [ + include('_whitespace'), + (_name, Name.Variable, '#pop'), + default('#pop') + ], + # Values after hashes + 'obsolete-dictionary-word': [ + (r'\S\w*', String.Other, '#pop') + ], + 'system-constant': [ + include('_whitespace'), + (_name, Name.Builtin, '#pop') + ], + + # Directives + 'directive': [ + include('_whitespace'), + (r'#', Punctuation), + (r';', Punctuation, '#pop'), + (r'\[', Punctuation, + ('default', 'statements', 'locals', 'routine-name?')), + (words(( + 'abbreviate', 'endif', 'dictionary', 'ifdef', 'iffalse', 'ifndef', 'ifnot', + 'iftrue', 'ifv3', 'ifv5', 'release', 'serial', 'switches', 'system_file', + 'version'), prefix='(?i)', suffix=r'\b'), + Keyword, 'default'), + (r'(?i)(array|global)\b', Keyword, + ('default', 'directive-keyword?', '_global')), + (r'(?i)attribute\b', Keyword, ('default', 'alias?', '_constant')), + (r'(?i)class\b', Keyword, + ('object-body', 'duplicates', 'class-name')), + (r'(?i)(constant|default)\b', Keyword, + ('default', 'expression', '_constant')), + (r'(?i)(end\b)(.*)', bygroups(Keyword, Text)), + (r'(?i)(extend|verb)\b', Keyword, 'grammar'), + (r'(?i)fake_action\b', Keyword, ('default', '_constant')), + (r'(?i)import\b', Keyword, 'manifest'), + (r'(?i)(include|link)\b', Keyword, + ('default', 'before-plain-string')), + (r'(?i)(lowstring|undef)\b', Keyword, ('default', '_constant')), + (r'(?i)message\b', Keyword, ('default', 'diagnostic')), + (r'(?i)(nearby|object)\b', Keyword, + ('object-body', '_object-head')), + (r'(?i)property\b', Keyword, + ('default', 'alias?', '_constant', 'property-keyword*')), + (r'(?i)replace\b', Keyword, + ('default', 'routine-name?', 'routine-name?')), + (r'(?i)statusline\b', Keyword, ('default', 'directive-keyword?')), + (r'(?i)stub\b', Keyword, ('default', 'routine-name?')), + (r'(?i)trace\b', Keyword, + ('default', 'trace-keyword?', 'trace-keyword?')), + (r'(?i)zcharacter\b', Keyword, + ('default', 'directive-keyword?', 'directive-keyword?')), + (_name, Name.Class, ('object-body', '_object-head')) + ], + # [, Replace, Stub + 'routine-name?': [ + include('_whitespace'), + (_name, Name.Function, '#pop'), + default('#pop') + ], + 'locals': [ + include('_whitespace'), + (r';', Punctuation, '#pop'), + (r'\*', Punctuation), + (r'"', String.Double, 'plain-string'), + (_name, Name.Variable) + ], + # Array + 'many-values': [ + include('_whitespace'), + (r';', Punctuation), + (r'\]', Punctuation, '#pop'), + (r':', Error), + default(('expression', '_expression')) + ], + # Attribute, Property + 'alias?': [ + include('_whitespace'), + (r'alias\b', Keyword, ('#pop', '_constant')), + default('#pop') + ], + # Class, Object, Nearby + 'class-name': [ + include('_whitespace'), + (r'(?=[,;]|(class|has|private|with)\b)', Text, '#pop'), + (_name, Name.Class, '#pop') + ], + 'duplicates': [ + include('_whitespace'), + (r'\(', Punctuation, ('#pop', 'expression', '_expression')), + default('#pop') + ], + '_object-head': [ + (r'[%s]>' % _dash, Punctuation), + (r'(class|has|private|with)\b', Keyword.Declaration, '#pop'), + include('_global') + ], + 'object-body': [ + include('_whitespace'), + (r';', Punctuation, '#pop:2'), + (r',', Punctuation), + (r'class\b', Keyword.Declaration, 'class-segment'), + (r'(has|private|with)\b', Keyword.Declaration), + (r':', Error), + default(('_object-expression', '_expression')) + ], + 'class-segment': [ + include('_whitespace'), + (r'(?=[,;]|(class|has|private|with)\b)', Text, '#pop'), + (_name, Name.Class), + default('value') + ], + # Extend, Verb + 'grammar': [ + include('_whitespace'), + (r'=', Punctuation, ('#pop', 'default')), + (r'\*', Punctuation, ('#pop', 'grammar-line')), + default('_directive-keyword') + ], + 'grammar-line': [ + include('_whitespace'), + (r';', Punctuation, '#pop'), + (r'[/*]', Punctuation), + (r'[%s]>' % _dash, Punctuation, 'value'), + (r'(noun|scope)\b', Keyword, '=routine'), + default('_directive-keyword') + ], + '=routine': [ + include('_whitespace'), + (r'=', Punctuation, 'routine-name?'), + default('#pop') + ], + # Import + 'manifest': [ + include('_whitespace'), + (r';', Punctuation, '#pop'), + (r',', Punctuation), + (r'(?i)global\b', Keyword, '_global'), + default('_global') + ], + # Include, Link, Message + 'diagnostic': [ + include('_whitespace'), + (r'[%s]' % _dquote, String.Double, ('#pop', 'message-string')), + default(('#pop', 'before-plain-string', 'directive-keyword?')) + ], + 'before-plain-string': [ + include('_whitespace'), + (r'[%s]' % _dquote, String.Double, ('#pop', 'plain-string')) + ], + 'message-string': [ + (r'[~^]+', String.Escape), + include('plain-string') + ], + + # Keywords used in directives + '_directive-keyword!': [ + include('_whitespace'), + (words(( + 'additive', 'alias', 'buffer', 'class', 'creature', 'data', 'error', 'fatalerror', + 'first', 'has', 'held', 'initial', 'initstr', 'last', 'long', 'meta', 'multi', + 'multiexcept', 'multiheld', 'multiinside', 'noun', 'number', 'only', 'private', + 'replace', 'reverse', 'scope', 'score', 'special', 'string', 'table', 'terminating', + 'time', 'topic', 'warning', 'with'), suffix=r'\b'), + Keyword, '#pop'), + (r'[%s]{1,2}>|[+=]' % _dash, Punctuation, '#pop') + ], + '_directive-keyword': [ + include('_directive-keyword!'), + include('value') + ], + 'directive-keyword?': [ + include('_directive-keyword!'), + default('#pop') + ], + 'property-keyword*': [ + include('_whitespace'), + (r'(additive|long)\b', Keyword), + default('#pop') + ], + 'trace-keyword?': [ + include('_whitespace'), + (words(( + 'assembly', 'dictionary', 'expressions', 'lines', 'linker', + 'objects', 'off', 'on', 'symbols', 'tokens', 'verbs'), suffix=r'\b'), + Keyword, '#pop'), + default('#pop') + ], + + # Statements + 'statements': [ + include('_whitespace'), + (r'\]', Punctuation, '#pop'), + (r'[;{}]', Punctuation), + (words(( + 'box', 'break', 'continue', 'default', 'give', 'inversion', + 'new_line', 'quit', 'read', 'remove', 'return', 'rfalse', 'rtrue', + 'spaces', 'string', 'until'), suffix=r'\b'), + Keyword, 'default'), + (r'(do|else)\b', Keyword), + (r'(font|style)\b', Keyword, + ('default', 'miscellaneous-keyword?')), + (r'for\b', Keyword, ('for', '(?')), + (r'(if|switch|while)', Keyword, + ('expression', '_expression', '(?')), + (r'(jump|save|restore)\b', Keyword, ('default', 'label?')), + (r'objectloop\b', Keyword, + ('_keyword-expression', 'variable?', '(?')), + (r'print(_ret)?\b|(?=[%s])' % _dquote, Keyword, 'print-list'), + (r'\.', Name.Label, 'label?'), + (r'@', Keyword, 'opcode'), + (r'#(?![agrnw]\$|#)', Punctuation, 'directive'), + (r'<', Punctuation, 'default'), + (r'move\b', Keyword, + ('default', '_keyword-expression', '_expression')), + default(('default', '_keyword-expression', '_expression')) + ], + 'miscellaneous-keyword?': [ + include('_whitespace'), + (r'(bold|fixed|from|near|off|on|reverse|roman|to|underline)\b', + Keyword, '#pop'), + (r'(a|A|an|address|char|name|number|object|property|string|the|' + r'The)\b(?=(\s+|(![^%s]*))*\))' % _newline, Keyword.Pseudo, + '#pop'), + (r'%s(?=(\s+|(![^%s]*))*\))' % (_name, _newline), Name.Function, + '#pop'), + default('#pop') + ], + '(?': [ + include('_whitespace'), + (r'\(', Punctuation, '#pop'), + default('#pop') + ], + 'for': [ + include('_whitespace'), + (r';', Punctuation, ('_for-expression', '_expression')), + default(('_for-expression', '_expression')) + ], + 'print-list': [ + include('_whitespace'), + (r';', Punctuation, '#pop'), + (r':', Error), + default(('_list-expression', '_expression', '_list-expression', 'form')) + ], + 'form': [ + include('_whitespace'), + (r'\(', Punctuation, ('#pop', 'miscellaneous-keyword?')), + default('#pop') + ], + + # Assembly + 'opcode': [ + include('_whitespace'), + (r'[%s]' % _dquote, String.Double, ('operands', 'plain-string')), + (_name, Keyword, 'operands') + ], + 'operands': [ + (r':', Error), + default(('_assembly-expression', '_expression')) + ] + } + + def get_tokens_unprocessed(self, text): + # 'in' is either a keyword or an operator. + # If the token two tokens after 'in' is ')', 'in' is a keyword: + # objectloop(a in b) + # Otherwise, it is an operator: + # objectloop(a in b && true) + objectloop_queue = [] + objectloop_token_count = -1 + previous_token = None + for index, token, value in RegexLexer.get_tokens_unprocessed(self, + text): + if previous_token is Name.Variable and value == 'in': + objectloop_queue = [[index, token, value]] + objectloop_token_count = 2 + elif objectloop_token_count > 0: + if token not in Comment and token not in Text: + objectloop_token_count -= 1 + objectloop_queue.append((index, token, value)) + else: + if objectloop_token_count == 0: + if objectloop_queue[-1][2] == ')': + objectloop_queue[0][1] = Keyword + while objectloop_queue: + yield objectloop_queue.pop(0) + objectloop_token_count = -1 + yield index, token, value + if token not in Comment and token not in Text: + previous_token = token + while objectloop_queue: + yield objectloop_queue.pop(0) + + +class Inform7Lexer(RegexLexer): + """ + For `Inform 7 `_ source code. + + .. versionadded:: 2.0 + """ + + name = 'Inform 7' + aliases = ['inform7', 'i7'] + filenames = ['*.ni', '*.i7x'] + + flags = re.MULTILINE | re.DOTALL | re.UNICODE + + _dash = Inform6Lexer._dash + _dquote = Inform6Lexer._dquote + _newline = Inform6Lexer._newline + _start = r'\A|(?<=[%s])' % _newline + + # There are three variants of Inform 7, differing in how to + # interpret at signs and braces in I6T. In top-level inclusions, at + # signs in the first column are inweb syntax. In phrase definitions + # and use options, tokens in braces are treated as I7. Use options + # also interpret "{N}". + tokens = {} + token_variants = ['+i6t-not-inline', '+i6t-inline', '+i6t-use-option'] + + for level in token_variants: + tokens[level] = { + '+i6-root': list(Inform6Lexer.tokens['root']), + '+i6t-root': [ # For Inform6TemplateLexer + (r'[^%s]*' % Inform6Lexer._newline, Comment.Preproc, + ('directive', '+p')) + ], + 'root': [ + (r'(\|?\s)+', Text), + (r'\[', Comment.Multiline, '+comment'), + (r'[%s]' % _dquote, Generic.Heading, + ('+main', '+titling', '+titling-string')), + default(('+main', '+heading?')) + ], + '+titling-string': [ + (r'[^%s]+' % _dquote, Generic.Heading), + (r'[%s]' % _dquote, Generic.Heading, '#pop') + ], + '+titling': [ + (r'\[', Comment.Multiline, '+comment'), + (r'[^%s.;:|%s]+' % (_dquote, _newline), Generic.Heading), + (r'[%s]' % _dquote, Generic.Heading, '+titling-string'), + (r'[%s]{2}|(?<=[\s%s])\|[\s%s]' % (_newline, _dquote, _dquote), + Text, ('#pop', '+heading?')), + (r'[.;:]|(?<=[\s%s])\|' % _dquote, Text, '#pop'), + (r'[|%s]' % _newline, Generic.Heading) + ], + '+main': [ + (r'(?i)[^%s:a\[(|%s]+' % (_dquote, _newline), Text), + (r'[%s]' % _dquote, String.Double, '+text'), + (r':', Text, '+phrase-definition'), + (r'(?i)\bas\b', Text, '+use-option'), + (r'\[', Comment.Multiline, '+comment'), + (r'(\([%s])(.*?)([%s]\))' % (_dash, _dash), + bygroups(Punctuation, + using(this, state=('+i6-root', 'directive'), + i6t='+i6t-not-inline'), Punctuation)), + (r'(%s|(?<=[\s;:.%s]))\|\s|[%s]{2,}' % + (_start, _dquote, _newline), Text, '+heading?'), + (r'(?i)[a(|%s]' % _newline, Text) + ], + '+phrase-definition': [ + (r'\s+', Text), + (r'\[', Comment.Multiline, '+comment'), + (r'(\([%s])(.*?)([%s]\))' % (_dash, _dash), + bygroups(Punctuation, + using(this, state=('+i6-root', 'directive', + 'default', 'statements'), + i6t='+i6t-inline'), Punctuation), '#pop'), + default('#pop') + ], + '+use-option': [ + (r'\s+', Text), + (r'\[', Comment.Multiline, '+comment'), + (r'(\([%s])(.*?)([%s]\))' % (_dash, _dash), + bygroups(Punctuation, + using(this, state=('+i6-root', 'directive'), + i6t='+i6t-use-option'), Punctuation), '#pop'), + default('#pop') + ], + '+comment': [ + (r'[^\[\]]+', Comment.Multiline), + (r'\[', Comment.Multiline, '#push'), + (r'\]', Comment.Multiline, '#pop') + ], + '+text': [ + (r'[^\[%s]+' % _dquote, String.Double), + (r'\[.*?\]', String.Interpol), + (r'[%s]' % _dquote, String.Double, '#pop') + ], + '+heading?': [ + (r'(\|?\s)+', Text), + (r'\[', Comment.Multiline, '+comment'), + (r'[%s]{4}\s+' % _dash, Text, '+documentation-heading'), + (r'[%s]{1,3}' % _dash, Text), + (r'(?i)(volume|book|part|chapter|section)\b[^%s]*' % _newline, + Generic.Heading, '#pop'), + default('#pop') + ], + '+documentation-heading': [ + (r'\s+', Text), + (r'\[', Comment.Multiline, '+comment'), + (r'(?i)documentation\s+', Text, '+documentation-heading2'), + default('#pop') + ], + '+documentation-heading2': [ + (r'\s+', Text), + (r'\[', Comment.Multiline, '+comment'), + (r'[%s]{4}\s' % _dash, Text, '+documentation'), + default('#pop:2') + ], + '+documentation': [ + (r'(?i)(%s)\s*(chapter|example)\s*:[^%s]*' % + (_start, _newline), Generic.Heading), + (r'(?i)(%s)\s*section\s*:[^%s]*' % (_start, _newline), + Generic.Subheading), + (r'((%s)\t.*?[%s])+' % (_start, _newline), + using(this, state='+main')), + (r'[^%s\[]+|[%s\[]' % (_newline, _newline), Text), + (r'\[', Comment.Multiline, '+comment'), + ], + '+i6t-not-inline': [ + (r'(%s)@c( .*?)?([%s]|\Z)' % (_start, _newline), + Comment.Preproc), + (r'(%s)@([%s]+|Purpose:)[^%s]*' % (_start, _dash, _newline), + Comment.Preproc), + (r'(%s)@p( .*?)?([%s]|\Z)' % (_start, _newline), + Generic.Heading, '+p') + ], + '+i6t-use-option': [ + include('+i6t-not-inline'), + (r'(\{)(N)(\})', bygroups(Punctuation, Text, Punctuation)) + ], + '+i6t-inline': [ + (r'(\{)(\S[^}]*)?(\})', + bygroups(Punctuation, using(this, state='+main'), + Punctuation)) + ], + '+i6t': [ + (r'(\{[%s])(![^}]*)(\}?)' % _dash, + bygroups(Punctuation, Comment.Single, Punctuation)), + (r'(\{[%s])(lines)(:)([^}]*)(\}?)' % _dash, + bygroups(Punctuation, Keyword, Punctuation, Text, + Punctuation), '+lines'), + (r'(\{[%s])([^:}]*)(:?)([^}]*)(\}?)' % _dash, + bygroups(Punctuation, Keyword, Punctuation, Text, + Punctuation)), + (r'(\(\+)(.*?)(\+\)|\Z)', + bygroups(Punctuation, using(this, state='+main'), + Punctuation)) + ], + '+p': [ + (r'[^@]+', Comment.Preproc), + (r'(%s)@c( .*?)?([%s]|\Z)' % (_start, _newline), + Comment.Preproc, '#pop'), + (r'(%s)@([%s]|Purpose:)' % (_start, _dash), Comment.Preproc), + (r'(%s)@p( .*?)?([%s]|\Z)' % (_start, _newline), + Generic.Heading), + (r'@', Comment.Preproc) + ], + '+lines': [ + (r'(%s)@c( .*?)?([%s]|\Z)' % (_start, _newline), + Comment.Preproc), + (r'(%s)@([%s]|Purpose:)[^%s]*' % (_start, _dash, _newline), + Comment.Preproc), + (r'(%s)@p( .*?)?([%s]|\Z)' % (_start, _newline), + Generic.Heading, '+p'), + (r'(%s)@\w*[ %s]' % (_start, _newline), Keyword), + (r'![^%s]*' % _newline, Comment.Single), + (r'(\{)([%s]endlines)(\})' % _dash, + bygroups(Punctuation, Keyword, Punctuation), '#pop'), + (r'[^@!{]+?([%s]|\Z)|.' % _newline, Text) + ] + } + # Inform 7 can include snippets of Inform 6 template language, + # so all of Inform6Lexer's states are copied here, with + # modifications to account for template syntax. Inform7Lexer's + # own states begin with '+' to avoid name conflicts. Some of + # Inform6Lexer's states begin with '_': these are not modified. + # They deal with template syntax either by including modified + # states, or by matching r'' then pushing to modified states. + for token in Inform6Lexer.tokens: + if token == 'root': + continue + tokens[level][token] = list(Inform6Lexer.tokens[token]) + if not token.startswith('_'): + tokens[level][token][:0] = [include('+i6t'), include(level)] + + def __init__(self, **options): + level = options.get('i6t', '+i6t-not-inline') + if level not in self._all_tokens: + self._tokens = self.__class__.process_tokendef(level) + else: + self._tokens = self._all_tokens[level] + RegexLexer.__init__(self, **options) + + +class Inform6TemplateLexer(Inform7Lexer): + """ + For `Inform 6 template + `_ code. + + .. versionadded:: 2.0 + """ + + name = 'Inform 6 template' + aliases = ['i6t'] + filenames = ['*.i6t'] + + def get_tokens_unprocessed(self, text, stack=('+i6t-root',)): + return Inform7Lexer.get_tokens_unprocessed(self, text, stack) + + +class Tads3Lexer(RegexLexer): + """ + For `TADS 3 `_ source code. + """ + + name = 'TADS 3' + aliases = ['tads3'] + filenames = ['*.t'] + + flags = re.DOTALL | re.MULTILINE + + _comment_single = r'(?://(?:[^\\\n]|\\+[\w\W])*$)' + _comment_multiline = r'(?:/\*(?:[^*]|\*(?!/))*\*/)' + _escape = (r'(?:\\(?:[\n\\<>"\'^v bnrt]|u[\da-fA-F]{,4}|x[\da-fA-F]{,2}|' + r'[0-3]?[0-7]{1,2}))') + _name = r'(?:[_a-zA-Z]\w*)' + _no_quote = r'(?=\s|\\?>)' + _operator = (r'(?:&&|\|\||\+\+|--|\?\?|::|[.,@\[\]~]|' + r'(?:[=+\-*/%!&|^]|<>?>?)=?)') + _ws = r'(?:\\|\s|%s|%s)' % (_comment_single, _comment_multiline) + _ws_pp = r'(?:\\\n|[^\S\n]|%s|%s)' % (_comment_single, _comment_multiline) + + def _make_string_state(triple, double, verbatim=None, _escape=_escape): + if verbatim: + verbatim = ''.join(['(?:%s|%s)' % (re.escape(c.lower()), + re.escape(c.upper())) + for c in verbatim]) + char = r'"' if double else r"'" + token = String.Double if double else String.Single + escaped_quotes = r'+|%s(?!%s{2})' % (char, char) if triple else r'' + prefix = '%s%s' % ('t' if triple else '', 'd' if double else 's') + tag_state_name = '%sqt' % prefix + state = [] + if triple: + state += [ + (r'%s{3,}' % char, token, '#pop'), + (r'\\%s+' % char, String.Escape), + (char, token) + ] + else: + state.append((char, token, '#pop')) + state += [ + include('s/verbatim'), + (r'[^\\<&{}%s]+' % char, token) + ] + if verbatim: + # This regex can't use `(?i)` because escape sequences are + # case-sensitive. `<\XMP>` works; `<\xmp>` doesn't. + state.append((r'\\?<(/|\\\\|(?!%s)\\)%s(?=[\s=>])' % + (_escape, verbatim), + Name.Tag, ('#pop', '%sqs' % prefix, tag_state_name))) + else: + state += [ + (r'\\?<\\%s]|<(?!<)|\\%s%s|%s|\\.)*>?' % + (char, char, escaped_quotes, _escape), Comment.Multiline), + (r'(?i)\\?]|\\>)', Name.Tag, + ('#pop', '%sqs/listing' % prefix, tag_state_name)), + (r'(?i)\\?]|\\>)', Name.Tag, + ('#pop', '%sqs/xmp' % prefix, tag_state_name)), + (r'\\?<([^\s=><\\%s]|<(?!<)|\\%s%s|%s|\\.)*' % + (char, char, escaped_quotes, _escape), Name.Tag, + tag_state_name), + include('s/entity') + ] + state += [ + include('s/escape'), + (r'\{([^}<\\%s]|<(?!<)|\\%s%s|%s|\\.)*\}' % + (char, char, escaped_quotes, _escape), String.Interpol), + (r'[\\&{}<]', token) + ] + return state + + def _make_tag_state(triple, double, _escape=_escape): + char = r'"' if double else r"'" + quantifier = r'{3,}' if triple else r'' + state_name = '%s%sqt' % ('t' if triple else '', 'd' if double else 's') + token = String.Double if double else String.Single + escaped_quotes = r'+|%s(?!%s{2})' % (char, char) if triple else r'' + return [ + (r'%s%s' % (char, quantifier), token, '#pop:2'), + (r'(\s|\\\n)+', Text), + (r'(=)(\\?")', bygroups(Punctuation, String.Double), + 'dqs/%s' % state_name), + (r"(=)(\\?')", bygroups(Punctuation, String.Single), + 'sqs/%s' % state_name), + (r'=', Punctuation, 'uqs/%s' % state_name), + (r'\\?>', Name.Tag, '#pop'), + (r'\{([^}<\\%s]|<(?!<)|\\%s%s|%s|\\.)*\}' % + (char, char, escaped_quotes, _escape), String.Interpol), + (r'([^\s=><\\%s]|<(?!<)|\\%s%s|%s|\\.)+' % + (char, char, escaped_quotes, _escape), Name.Attribute), + include('s/escape'), + include('s/verbatim'), + include('s/entity'), + (r'[\\{}&]', Name.Attribute) + ] + + def _make_attribute_value_state(terminator, host_triple, host_double, + _escape=_escape): + token = (String.Double if terminator == r'"' else + String.Single if terminator == r"'" else String.Other) + host_char = r'"' if host_double else r"'" + host_quantifier = r'{3,}' if host_triple else r'' + host_token = String.Double if host_double else String.Single + escaped_quotes = (r'+|%s(?!%s{2})' % (host_char, host_char) + if host_triple else r'') + return [ + (r'%s%s' % (host_char, host_quantifier), host_token, '#pop:3'), + (r'%s%s' % (r'' if token is String.Other else r'\\?', terminator), + token, '#pop'), + include('s/verbatim'), + include('s/entity'), + (r'\{([^}<\\%s]|<(?!<)|\\%s%s|%s|\\.)*\}' % + (host_char, host_char, escaped_quotes, _escape), String.Interpol), + (r'([^\s"\'<%s{}\\&])+' % (r'>' if token is String.Other else r''), + token), + include('s/escape'), + (r'["\'\s&{<}\\]', token) + ] + + tokens = { + 'root': [ + (u'\ufeff', Text), + (r'\{', Punctuation, 'object-body'), + (r';+', Punctuation), + (r'(?=(argcount|break|case|catch|continue|default|definingobj|' + r'delegated|do|else|for|foreach|finally|goto|if|inherited|' + r'invokee|local|nil|new|operator|replaced|return|self|switch|' + r'targetobj|targetprop|throw|true|try|while)\b)', Text, 'block'), + (r'(%s)(%s*)(\()' % (_name, _ws), + bygroups(Name.Function, using(this, state='whitespace'), + Punctuation), + ('block?/root', 'more/parameters', 'main/parameters')), + include('whitespace'), + (r'\++', Punctuation), + (r'[^\s!"%-(*->@-_a-z{-~]+', Error), # Averts an infinite loop + (r'(?!\Z)', Text, 'main/root') + ], + 'main/root': [ + include('main/basic'), + default(('#pop', 'object-body/no-braces', 'classes', 'class')) + ], + 'object-body/no-braces': [ + (r';', Punctuation, '#pop'), + (r'\{', Punctuation, ('#pop', 'object-body')), + include('object-body') + ], + 'object-body': [ + (r';', Punctuation), + (r'\{', Punctuation, '#push'), + (r'\}', Punctuation, '#pop'), + (r':', Punctuation, ('classes', 'class')), + (r'(%s?)(%s*)(\()' % (_name, _ws), + bygroups(Name.Function, using(this, state='whitespace'), + Punctuation), + ('block?', 'more/parameters', 'main/parameters')), + (r'(%s)(%s*)(\{)' % (_name, _ws), + bygroups(Name.Function, using(this, state='whitespace'), + Punctuation), 'block'), + (r'(%s)(%s*)(:)' % (_name, _ws), + bygroups(Name.Variable, using(this, state='whitespace'), + Punctuation), + ('object-body/no-braces', 'classes', 'class')), + include('whitespace'), + (r'->|%s' % _operator, Punctuation, 'main'), + default('main/object-body') + ], + 'main/object-body': [ + include('main/basic'), + (r'(%s)(%s*)(=?)' % (_name, _ws), + bygroups(Name.Variable, using(this, state='whitespace'), + Punctuation), ('#pop', 'more', 'main')), + default('#pop:2') + ], + 'block?/root': [ + (r'\{', Punctuation, ('#pop', 'block')), + include('whitespace'), + (r'(?=[[\'"<(:])', Text, # It might be a VerbRule macro. + ('#pop', 'object-body/no-braces', 'grammar', 'grammar-rules')), + # It might be a macro like DefineAction. + default(('#pop', 'object-body/no-braces')) + ], + 'block?': [ + (r'\{', Punctuation, ('#pop', 'block')), + include('whitespace'), + default('#pop') + ], + 'block/basic': [ + (r'[;:]+', Punctuation), + (r'\{', Punctuation, '#push'), + (r'\}', Punctuation, '#pop'), + (r'default\b', Keyword.Reserved), + (r'(%s)(%s*)(:)' % (_name, _ws), + bygroups(Name.Label, using(this, state='whitespace'), + Punctuation)), + include('whitespace') + ], + 'block': [ + include('block/basic'), + (r'(?!\Z)', Text, ('more', 'main')) + ], + 'block/embed': [ + (r'>>', String.Interpol, '#pop'), + include('block/basic'), + (r'(?!\Z)', Text, ('more/embed', 'main')) + ], + 'main/basic': [ + include('whitespace'), + (r'\(', Punctuation, ('#pop', 'more', 'main')), + (r'\[', Punctuation, ('#pop', 'more/list', 'main')), + (r'\{', Punctuation, ('#pop', 'more/inner', 'main/inner', + 'more/parameters', 'main/parameters')), + (r'\*|\.{3}', Punctuation, '#pop'), + (r'(?i)0x[\da-f]+', Number.Hex, '#pop'), + (r'(\d+\.(?!\.)\d*|\.\d+)([eE][-+]?\d+)?|\d+[eE][-+]?\d+', + Number.Float, '#pop'), + (r'0[0-7]+', Number.Oct, '#pop'), + (r'\d+', Number.Integer, '#pop'), + (r'"""', String.Double, ('#pop', 'tdqs')), + (r"'''", String.Single, ('#pop', 'tsqs')), + (r'"', String.Double, ('#pop', 'dqs')), + (r"'", String.Single, ('#pop', 'sqs')), + (r'R"""', String.Regex, ('#pop', 'tdqr')), + (r"R'''", String.Regex, ('#pop', 'tsqr')), + (r'R"', String.Regex, ('#pop', 'dqr')), + (r"R'", String.Regex, ('#pop', 'sqr')), + # Two-token keywords + (r'(extern)(%s+)(object\b)' % _ws, + bygroups(Keyword.Reserved, using(this, state='whitespace'), + Keyword.Reserved)), + (r'(function|method)(%s*)(\()' % _ws, + bygroups(Keyword.Reserved, using(this, state='whitespace'), + Punctuation), + ('#pop', 'block?', 'more/parameters', 'main/parameters')), + (r'(modify)(%s+)(grammar\b)' % _ws, + bygroups(Keyword.Reserved, using(this, state='whitespace'), + Keyword.Reserved), + ('#pop', 'object-body/no-braces', ':', 'grammar')), + (r'(new)(%s+(?=(?:function|method)\b))' % _ws, + bygroups(Keyword.Reserved, using(this, state='whitespace'))), + (r'(object)(%s+)(template\b)' % _ws, + bygroups(Keyword.Reserved, using(this, state='whitespace'), + Keyword.Reserved), ('#pop', 'template')), + (r'(string)(%s+)(template\b)' % _ws, + bygroups(Keyword, using(this, state='whitespace'), + Keyword.Reserved), ('#pop', 'function-name')), + # Keywords + (r'(argcount|definingobj|invokee|replaced|targetobj|targetprop)\b', + Name.Builtin, '#pop'), + (r'(break|continue|goto)\b', Keyword.Reserved, ('#pop', 'label')), + (r'(case|extern|if|intrinsic|return|static|while)\b', + Keyword.Reserved), + (r'catch\b', Keyword.Reserved, ('#pop', 'catch')), + (r'class\b', Keyword.Reserved, + ('#pop', 'object-body/no-braces', 'class')), + (r'(default|do|else|finally|try)\b', Keyword.Reserved, '#pop'), + (r'(dictionary|property)\b', Keyword.Reserved, + ('#pop', 'constants')), + (r'enum\b', Keyword.Reserved, ('#pop', 'enum')), + (r'export\b', Keyword.Reserved, ('#pop', 'main')), + (r'(for|foreach)\b', Keyword.Reserved, + ('#pop', 'more/inner', 'main/inner')), + (r'(function|method)\b', Keyword.Reserved, + ('#pop', 'block?', 'function-name')), + (r'grammar\b', Keyword.Reserved, + ('#pop', 'object-body/no-braces', 'grammar')), + (r'inherited\b', Keyword.Reserved, ('#pop', 'inherited')), + (r'local\b', Keyword.Reserved, + ('#pop', 'more/local', 'main/local')), + (r'(modify|replace|switch|throw|transient)\b', Keyword.Reserved, + '#pop'), + (r'new\b', Keyword.Reserved, ('#pop', 'class')), + (r'(nil|true)\b', Keyword.Constant, '#pop'), + (r'object\b', Keyword.Reserved, ('#pop', 'object-body/no-braces')), + (r'operator\b', Keyword.Reserved, ('#pop', 'operator')), + (r'propertyset\b', Keyword.Reserved, + ('#pop', 'propertyset', 'main')), + (r'self\b', Name.Builtin.Pseudo, '#pop'), + (r'template\b', Keyword.Reserved, ('#pop', 'template')), + # Operators + (r'(__objref|defined)(%s*)(\()' % _ws, + bygroups(Operator.Word, using(this, state='whitespace'), + Operator), ('#pop', 'more/__objref', 'main')), + (r'delegated\b', Operator.Word), + # Compiler-defined macros and built-in properties + (r'(__DATE__|__DEBUG|__LINE__|__FILE__|' + r'__TADS_MACRO_FORMAT_VERSION|__TADS_SYS_\w*|__TADS_SYSTEM_NAME|' + r'__TADS_VERSION_MAJOR|__TADS_VERSION_MINOR|__TADS3|__TIME__|' + r'construct|finalize|grammarInfo|grammarTag|lexicalParent|' + r'miscVocab|sourceTextGroup|sourceTextGroupName|' + r'sourceTextGroupOrder|sourceTextOrder)\b', Name.Builtin, '#pop') + ], + 'main': [ + include('main/basic'), + (_name, Name, '#pop'), + default('#pop') + ], + 'more/basic': [ + (r'\(', Punctuation, ('more/list', 'main')), + (r'\[', Punctuation, ('more', 'main')), + (r'\.{3}', Punctuation), + (r'->|\.\.', Punctuation, 'main'), + (r'(?=;)|[:)\]]', Punctuation, '#pop'), + include('whitespace'), + (_operator, Operator, 'main'), + (r'\?', Operator, ('main', 'more/conditional', 'main')), + (r'(is|not)(%s+)(in\b)' % _ws, + bygroups(Operator.Word, using(this, state='whitespace'), + Operator.Word)), + (r'[^\s!"%-_a-z{-~]+', Error) # Averts an infinite loop + ], + 'more': [ + include('more/basic'), + default('#pop') + ], + # Then expression (conditional operator) + 'more/conditional': [ + (r':(?!:)', Operator, '#pop'), + include('more') + ], + # Embedded expressions + 'more/embed': [ + (r'>>', String.Interpol, '#pop:2'), + include('more') + ], + # For/foreach loop initializer or short-form anonymous function + 'main/inner': [ + (r'\(', Punctuation, ('#pop', 'more/inner', 'main/inner')), + (r'local\b', Keyword.Reserved, ('#pop', 'main/local')), + include('main') + ], + 'more/inner': [ + (r'\}', Punctuation, '#pop'), + (r',', Punctuation, 'main/inner'), + (r'(in|step)\b', Keyword, 'main/inner'), + include('more') + ], + # Local + 'main/local': [ + (_name, Name.Variable, '#pop'), + include('whitespace') + ], + 'more/local': [ + (r',', Punctuation, 'main/local'), + include('more') + ], + # List + 'more/list': [ + (r'[,:]', Punctuation, 'main'), + include('more') + ], + # Parameter list + 'main/parameters': [ + (r'(%s)(%s*)(?=:)' % (_name, _ws), + bygroups(Name.Variable, using(this, state='whitespace')), '#pop'), + (r'(%s)(%s+)(%s)' % (_name, _ws, _name), + bygroups(Name.Class, using(this, state='whitespace'), + Name.Variable), '#pop'), + (r'\[+', Punctuation), + include('main/basic'), + (_name, Name.Variable, '#pop'), + default('#pop') + ], + 'more/parameters': [ + (r'(:)(%s*(?=[?=,:)]))' % _ws, + bygroups(Punctuation, using(this, state='whitespace'))), + (r'[?\]]+', Punctuation), + (r'[:)]', Punctuation, ('#pop', 'multimethod?')), + (r',', Punctuation, 'main/parameters'), + (r'=', Punctuation, ('more/parameter', 'main')), + include('more') + ], + 'more/parameter': [ + (r'(?=[,)])', Text, '#pop'), + include('more') + ], + 'multimethod?': [ + (r'multimethod\b', Keyword, '#pop'), + include('whitespace'), + default('#pop') + ], + + # Statements and expressions + 'more/__objref': [ + (r',', Punctuation, 'mode'), + (r'\)', Operator, '#pop'), + include('more') + ], + 'mode': [ + (r'(error|warn)\b', Keyword, '#pop'), + include('whitespace') + ], + 'catch': [ + (r'\(+', Punctuation), + (_name, Name.Exception, ('#pop', 'variables')), + include('whitespace') + ], + 'enum': [ + include('whitespace'), + (r'token\b', Keyword, ('#pop', 'constants')), + default(('#pop', 'constants')) + ], + 'grammar': [ + (r'\)+', Punctuation), + (r'\(', Punctuation, 'grammar-tag'), + (r':', Punctuation, 'grammar-rules'), + (_name, Name.Class), + include('whitespace') + ], + 'grammar-tag': [ + include('whitespace'), + (r'"""([^\\"<]|""?(?!")|\\"+|\\.|<(?!<))+("{3,}|<<)|' + r'R"""([^\\"]|""?(?!")|\\"+|\\.)+"{3,}|' + r"'''([^\\'<]|''?(?!')|\\'+|\\.|<(?!<))+('{3,}|<<)|" + r"R'''([^\\']|''?(?!')|\\'+|\\.)+'{3,}|" + r'"([^\\"<]|\\.|<(?!<))+("|<<)|R"([^\\"]|\\.)+"|' + r"'([^\\'<]|\\.|<(?!<))+('|<<)|R'([^\\']|\\.)+'|" + r"([^)\s\\/]|/(?![/*]))+|\)", String.Other, '#pop') + ], + 'grammar-rules': [ + include('string'), + include('whitespace'), + (r'(\[)(%s*)(badness)' % _ws, + bygroups(Punctuation, using(this, state='whitespace'), Keyword), + 'main'), + (r'->|%s|[()]' % _operator, Punctuation), + (_name, Name.Constant), + default('#pop:2') + ], + ':': [ + (r':', Punctuation, '#pop') + ], + 'function-name': [ + (r'(<<([^>]|>>>|>(?!>))*>>)+', String.Interpol), + (r'(?=%s?%s*[({])' % (_name, _ws), Text, '#pop'), + (_name, Name.Function, '#pop'), + include('whitespace') + ], + 'inherited': [ + (r'<', Punctuation, ('#pop', 'classes', 'class')), + include('whitespace'), + (_name, Name.Class, '#pop'), + default('#pop') + ], + 'operator': [ + (r'negate\b', Operator.Word, '#pop'), + include('whitespace'), + (_operator, Operator), + default('#pop') + ], + 'propertyset': [ + (r'\(', Punctuation, ('more/parameters', 'main/parameters')), + (r'\{', Punctuation, ('#pop', 'object-body')), + include('whitespace') + ], + 'template': [ + (r'(?=;)', Text, '#pop'), + include('string'), + (r'inherited\b', Keyword.Reserved), + include('whitespace'), + (r'->|\?|%s' % _operator, Punctuation), + (_name, Name.Variable) + ], + + # Identifiers + 'class': [ + (r'\*|\.{3}', Punctuation, '#pop'), + (r'object\b', Keyword.Reserved, '#pop'), + (r'transient\b', Keyword.Reserved), + (_name, Name.Class, '#pop'), + include('whitespace'), + default('#pop') + ], + 'classes': [ + (r'[:,]', Punctuation, 'class'), + include('whitespace'), + (r'>', Punctuation, '#pop'), + default('#pop') + ], + 'constants': [ + (r',+', Punctuation), + (r';', Punctuation, '#pop'), + (r'property\b', Keyword.Reserved), + (_name, Name.Constant), + include('whitespace') + ], + 'label': [ + (_name, Name.Label, '#pop'), + include('whitespace'), + default('#pop') + ], + 'variables': [ + (r',+', Punctuation), + (r'\)', Punctuation, '#pop'), + include('whitespace'), + (_name, Name.Variable) + ], + + # Whitespace and comments + 'whitespace': [ + (r'^%s*#(%s|[^\n]|(?<=\\)\n)*\n?' % (_ws_pp, _comment_multiline), + Comment.Preproc), + (_comment_single, Comment.Single), + (_comment_multiline, Comment.Multiline), + (r'\\+\n+%s*#?|\n+|([^\S\n]|\\)+' % _ws_pp, Text) + ], + + # Strings + 'string': [ + (r'"""', String.Double, 'tdqs'), + (r"'''", String.Single, 'tsqs'), + (r'"', String.Double, 'dqs'), + (r"'", String.Single, 'sqs') + ], + 's/escape': [ + (r'\{\{|\}\}|%s' % _escape, String.Escape) + ], + 's/verbatim': [ + (r'<<\s*(as\s+decreasingly\s+likely\s+outcomes|cycling|else|end|' + r'first\s+time|one\s+of|only|or|otherwise|' + r'(sticky|(then\s+)?(purely\s+)?at)\s+random|stopping|' + r'(then\s+)?(half\s+)?shuffled|\|\|)\s*>>', String.Interpol), + (r'<<(%%(_(%s|\\?.)|[\-+ ,#]|\[\d*\]?)*\d*\.?\d*(%s|\\?.)|' + r'\s*((else|otherwise)\s+)?(if|unless)\b)?' % (_escape, _escape), + String.Interpol, ('block/embed', 'more/embed', 'main')) + ], + 's/entity': [ + (r'(?i)&(#(x[\da-f]+|\d+)|[a-z][\da-z]*);?', Name.Entity) + ], + 'tdqs': _make_string_state(True, True), + 'tsqs': _make_string_state(True, False), + 'dqs': _make_string_state(False, True), + 'sqs': _make_string_state(False, False), + 'tdqs/listing': _make_string_state(True, True, 'listing'), + 'tsqs/listing': _make_string_state(True, False, 'listing'), + 'dqs/listing': _make_string_state(False, True, 'listing'), + 'sqs/listing': _make_string_state(False, False, 'listing'), + 'tdqs/xmp': _make_string_state(True, True, 'xmp'), + 'tsqs/xmp': _make_string_state(True, False, 'xmp'), + 'dqs/xmp': _make_string_state(False, True, 'xmp'), + 'sqs/xmp': _make_string_state(False, False, 'xmp'), + + # Tags + 'tdqt': _make_tag_state(True, True), + 'tsqt': _make_tag_state(True, False), + 'dqt': _make_tag_state(False, True), + 'sqt': _make_tag_state(False, False), + 'dqs/tdqt': _make_attribute_value_state(r'"', True, True), + 'dqs/tsqt': _make_attribute_value_state(r'"', True, False), + 'dqs/dqt': _make_attribute_value_state(r'"', False, True), + 'dqs/sqt': _make_attribute_value_state(r'"', False, False), + 'sqs/tdqt': _make_attribute_value_state(r"'", True, True), + 'sqs/tsqt': _make_attribute_value_state(r"'", True, False), + 'sqs/dqt': _make_attribute_value_state(r"'", False, True), + 'sqs/sqt': _make_attribute_value_state(r"'", False, False), + 'uqs/tdqt': _make_attribute_value_state(_no_quote, True, True), + 'uqs/tsqt': _make_attribute_value_state(_no_quote, True, False), + 'uqs/dqt': _make_attribute_value_state(_no_quote, False, True), + 'uqs/sqt': _make_attribute_value_state(_no_quote, False, False), + + # Regular expressions + 'tdqr': [ + (r'[^\\"]+', String.Regex), + (r'\\"*', String.Regex), + (r'"{3,}', String.Regex, '#pop'), + (r'"', String.Regex) + ], + 'tsqr': [ + (r"[^\\']+", String.Regex), + (r"\\'*", String.Regex), + (r"'{3,}", String.Regex, '#pop'), + (r"'", String.Regex) + ], + 'dqr': [ + (r'[^\\"]+', String.Regex), + (r'\\"?', String.Regex), + (r'"', String.Regex, '#pop') + ], + 'sqr': [ + (r"[^\\']+", String.Regex), + (r"\\'?", String.Regex), + (r"'", String.Regex, '#pop') + ] + } + + def get_tokens_unprocessed(self, text, **kwargs): + pp = r'^%s*#%s*' % (self._ws_pp, self._ws_pp) + if_false_level = 0 + for index, token, value in ( + RegexLexer.get_tokens_unprocessed(self, text, **kwargs)): + if if_false_level == 0: # Not in a false #if + if (token is Comment.Preproc and + re.match(r'%sif%s+(0|nil)%s*$\n?' % + (pp, self._ws_pp, self._ws_pp), value)): + if_false_level = 1 + else: # In a false #if + if token is Comment.Preproc: + if (if_false_level == 1 and + re.match(r'%sel(if|se)\b' % pp, value)): + if_false_level = 0 + elif re.match(r'%sif' % pp, value): + if_false_level += 1 + elif re.match(r'%sendif\b' % pp, value): + if_false_level -= 1 + else: + token = Comment + yield index, token, value diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/iolang.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/iolang.py new file mode 100644 index 0000000000000000000000000000000000000000..bbc17faff05686e6bc1c20123cbb52980a289b9b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/iolang.py @@ -0,0 +1,63 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.iolang + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for the Io language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number + +__all__ = ['IoLexer'] + + +class IoLexer(RegexLexer): + """ + For `Io `_ (a small, prototype-based + programming language) source. + + .. versionadded:: 0.10 + """ + name = 'Io' + filenames = ['*.io'] + aliases = ['io'] + mimetypes = ['text/x-iosrc'] + tokens = { + 'root': [ + (r'\n', Text), + (r'\s+', Text), + # Comments + (r'//(.*?)\n', Comment.Single), + (r'#(.*?)\n', Comment.Single), + (r'/(\\\n)?[*](.|\n)*?[*](\\\n)?/', Comment.Multiline), + (r'/\+', Comment.Multiline, 'nestedcomment'), + # DoubleQuotedString + (r'"(\\\\|\\"|[^"])*"', String), + # Operators + (r'::=|:=|=|\(|\)|;|,|\*|-|\+|>|<|@|!|/|\||\^|\.|%|&|\[|\]|\{|\}', + Operator), + # keywords + (r'(clone|do|doFile|doString|method|for|if|else|elseif|then)\b', + Keyword), + # constants + (r'(nil|false|true)\b', Name.Constant), + # names + (r'(Object|list|List|Map|args|Sequence|Coroutine|File)\b', + Name.Builtin), + ('[a-zA-Z_]\w*', Name), + # numbers + (r'(\d+\.?\d*|\d*\.\d+)([eE][+-]?[0-9]+)?', Number.Float), + (r'\d+', Number.Integer) + ], + 'nestedcomment': [ + (r'[^+/]+', Comment.Multiline), + (r'/\+', Comment.Multiline, '#push'), + (r'\+/', Comment.Multiline, '#pop'), + (r'[+/]', Comment.Multiline), + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/j.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/j.py new file mode 100644 index 0000000000000000000000000000000000000000..434964fec125d243532c30a66803fb5716bf3de0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/j.py @@ -0,0 +1,146 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.j + ~~~~~~~~~~~~~~~~~ + + Lexer for the J programming language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, words, include +from pygments.token import Comment, Keyword, Name, Number, Operator, Punctuation, \ + String, Text + +__all__ = ['JLexer'] + + +class JLexer(RegexLexer): + """ + For `J `_ source code. + + .. versionadded:: 2.1 + """ + + name = 'J' + aliases = ['j'] + filenames = ['*.ijs'] + mimetypes = ['text/x-j'] + + validName = r'\b[a-zA-Z]\w*' + + tokens = { + 'root': [ + # Shebang script + (r'#!.*$', Comment.Preproc), + + # Comments + (r'NB\..*', Comment.Single), + (r'\n+\s*Note', Comment.Multiline, 'comment'), + (r'\s*Note.*', Comment.Single), + + # Whitespace + (r'\s+', Text), + + # Strings + (r"'", String, 'singlequote'), + + # Definitions + (r'0\s+:\s*0|noun\s+define\s*$', Name.Entity, 'nounDefinition'), + (r'(([1-4]|13)\s+:\s*0|(adverb|conjunction|dyad|monad|verb)\s+define)\b', + Name.Function, 'explicitDefinition'), + + # Flow Control + (words(('for_', 'goto_', 'label_'), suffix=validName+'\.'), Name.Label), + (words(( + 'assert', 'break', 'case', 'catch', 'catchd', + 'catcht', 'continue', 'do', 'else', 'elseif', + 'end', 'fcase', 'for', 'if', 'return', + 'select', 'throw', 'try', 'while', 'whilst', + ), suffix='\.'), Name.Label), + + # Variable Names + (validName, Name.Variable), + + # Standard Library + (words(( + 'ARGV', 'CR', 'CRLF', 'DEL', 'Debug', + 'EAV', 'EMPTY', 'FF', 'JVERSION', 'LF', + 'LF2', 'Note', 'TAB', 'alpha17', 'alpha27', + 'apply', 'bind', 'boxopen', 'boxxopen', 'bx', + 'clear', 'cutLF', 'cutopen', 'datatype', 'def', + 'dfh', 'drop', 'each', 'echo', 'empty', + 'erase', 'every', 'evtloop', 'exit', 'expand', + 'fetch', 'file2url', 'fixdotdot', 'fliprgb', 'getargs', + 'getenv', 'hfd', 'inv', 'inverse', 'iospath', + 'isatty', 'isutf8', 'items', 'leaf', 'list', + 'nameclass', 'namelist', 'names', 'nc', + 'nl', 'on', 'pick', 'rows', + 'script', 'scriptd', 'sign', 'sminfo', 'smoutput', + 'sort', 'split', 'stderr', 'stdin', 'stdout', + 'table', 'take', 'timespacex', 'timex', 'tmoutput', + 'toCRLF', 'toHOST', 'toJ', 'tolower', 'toupper', + 'type', 'ucp', 'ucpcount', 'usleep', 'utf8', + 'uucp', + )), Name.Function), + + # Copula + (r'=[.:]', Operator), + + # Builtins + (r'[-=+*#$%@!~`^&";:.,<>{}\[\]\\|/]', Operator), + + # Short Keywords + (r'[abCdDeEfHiIjLMoprtT]\.', Keyword.Reserved), + (r'[aDiLpqsStux]\:', Keyword.Reserved), + (r'(_[0-9])\:', Keyword.Constant), + + # Parens + (r'\(', Punctuation, 'parentheses'), + + # Numbers + include('numbers'), + ], + + 'comment': [ + (r'[^)]', Comment.Multiline), + (r'^\)', Comment.Multiline, '#pop'), + (r'[)]', Comment.Multiline), + ], + + 'explicitDefinition': [ + (r'\b[nmuvxy]\b', Name.Decorator), + include('root'), + (r'[^)]', Name), + (r'^\)', Name.Label, '#pop'), + (r'[)]', Name), + ], + + 'numbers': [ + (r'\b_{1,2}\b', Number), + (r'_?\d+(\.\d+)?(\s*[ejr]\s*)_?\d+(\.?=\d+)?', Number), + (r'_?\d+\.(?=\d+)', Number.Float), + (r'_?\d+x', Number.Integer.Long), + (r'_?\d+', Number.Integer), + ], + + 'nounDefinition': [ + (r'[^)]', String), + (r'^\)', Name.Label, '#pop'), + (r'[)]', String), + ], + + 'parentheses': [ + (r'\)', Punctuation, '#pop'), + # include('nounDefinition'), + include('explicitDefinition'), + include('root'), + ], + + 'singlequote': [ + (r"[^']", String), + (r"''", String), + (r"'", String, '#pop'), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/javascript.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/javascript.py new file mode 100644 index 0000000000000000000000000000000000000000..862535c9867e8d39b8d672dc398f75e457c1e944 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/javascript.py @@ -0,0 +1,1525 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.javascript + ~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for JavaScript and related languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, default, using, \ + this, words, combined +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Other +from pygments.util import get_bool_opt, iteritems +import pygments.unistring as uni + +__all__ = ['JavascriptLexer', 'KalLexer', 'LiveScriptLexer', 'DartLexer', + 'TypeScriptLexer', 'LassoLexer', 'ObjectiveJLexer', + 'CoffeeScriptLexer', 'MaskLexer', 'EarlGreyLexer', 'JuttleLexer'] + +JS_IDENT_START = ('(?:[$_' + uni.combine('Lu', 'Ll', 'Lt', 'Lm', 'Lo', 'Nl') + + ']|\\\\u[a-fA-F0-9]{4})') +JS_IDENT_PART = ('(?:[$' + uni.combine('Lu', 'Ll', 'Lt', 'Lm', 'Lo', 'Nl', + 'Mn', 'Mc', 'Nd', 'Pc') + + u'\u200c\u200d]|\\\\u[a-fA-F0-9]{4})') +JS_IDENT = JS_IDENT_START + '(?:' + JS_IDENT_PART + ')*' + + +class JavascriptLexer(RegexLexer): + """ + For JavaScript source code. + """ + + name = 'JavaScript' + aliases = ['js', 'javascript'] + filenames = ['*.js', '*.jsm'] + mimetypes = ['application/javascript', 'application/x-javascript', + 'text/x-javascript', 'text/javascript'] + + flags = re.DOTALL | re.UNICODE | re.MULTILINE + + tokens = { + 'commentsandwhitespace': [ + (r'\s+', Text), + (r')?', Other), + (r'[^[<]+', Other), + ], + 'nosquarebrackets': [ + (r'\[noprocess\]', Comment.Preproc, 'noprocess'), + (r'\[', Other), + (r'<\?(lasso(script)?|=)', Comment.Preproc, 'anglebrackets'), + (r'<(!--.*?-->)?', Other), + (r'[^[<]+', Other), + ], + 'noprocess': [ + (r'\[/noprocess\]', Comment.Preproc, '#pop'), + (r'\[', Other), + (r'[^[]', Other), + ], + 'squarebrackets': [ + (r'\]', Comment.Preproc, '#pop'), + include('lasso'), + ], + 'anglebrackets': [ + (r'\?>', Comment.Preproc, '#pop'), + include('lasso'), + ], + 'lassofile': [ + (r'\]|\?>', Comment.Preproc, '#pop'), + include('lasso'), + ], + 'whitespacecomments': [ + (r'\s+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*\*!.*?\*/', String.Doc), + (r'/\*.*?\*/', Comment.Multiline), + ], + 'lasso': [ + # whitespace/comments + include('whitespacecomments'), + + # literals + (r'\d*\.\d+(e[+-]?\d+)?', Number.Float), + (r'0x[\da-f]+', Number.Hex), + (r'\d+', Number.Integer), + (r'(infinity|NaN)\b', Number), + (r"'", String.Single, 'singlestring'), + (r'"', String.Double, 'doublestring'), + (r'`[^`]*`', String.Backtick), + + # names + (r'\$[a-z_][\w.]*', Name.Variable), + (r'#([a-z_][\w.]*|\d+\b)', Name.Variable.Instance), + (r"(\.\s*)('[a-z_][\w.]*')", + bygroups(Name.Builtin.Pseudo, Name.Variable.Class)), + (r"(self)(\s*->\s*)('[a-z_][\w.]*')", + bygroups(Name.Builtin.Pseudo, Operator, Name.Variable.Class)), + (r'(\.\.?\s*)([a-z_][\w.]*(=(?!=))?)', + bygroups(Name.Builtin.Pseudo, Name.Other.Member)), + (r'(->\\?\s*|&\s*)([a-z_][\w.]*(=(?!=))?)', + bygroups(Operator, Name.Other.Member)), + (r'(?)(self|inherited|currentcapture|givenblock)\b', + Name.Builtin.Pseudo), + (r'-(?!infinity)[a-z_][\w.]*', Name.Attribute), + (r'::\s*[a-z_][\w.]*', Name.Label), + (r'(error_(code|msg)_\w+|Error_AddError|Error_ColumnRestriction|' + r'Error_DatabaseConnectionUnavailable|Error_DatabaseTimeout|' + r'Error_DeleteError|Error_FieldRestriction|Error_FileNotFound|' + r'Error_InvalidDatabase|Error_InvalidPassword|' + r'Error_InvalidUsername|Error_ModuleNotFound|' + r'Error_NoError|Error_NoPermission|Error_OutOfMemory|' + r'Error_ReqColumnMissing|Error_ReqFieldMissing|' + r'Error_RequiredColumnMissing|Error_RequiredFieldMissing|' + r'Error_UpdateError)\b', Name.Exception), + + # definitions + (r'(define)(\s+)([a-z_][\w.]*)(\s*=>\s*)(type|trait|thread)\b', + bygroups(Keyword.Declaration, Text, Name.Class, Operator, Keyword)), + (r'(define)(\s+)([a-z_][\w.]*)(\s*->\s*)([a-z_][\w.]*=?|[-+*/%])', + bygroups(Keyword.Declaration, Text, Name.Class, Operator, + Name.Function), 'signature'), + (r'(define)(\s+)([a-z_][\w.]*)', + bygroups(Keyword.Declaration, Text, Name.Function), 'signature'), + (r'(public|protected|private|provide)(\s+)(([a-z_][\w.]*=?|[-+*/%])' + r'(?=\s*\())', bygroups(Keyword, Text, Name.Function), + 'signature'), + (r'(public|protected|private|provide)(\s+)([a-z_][\w.]*)', + bygroups(Keyword, Text, Name.Function)), + + # keywords + (r'(true|false|none|minimal|full|all|void)\b', Keyword.Constant), + (r'(local|var|variable|global|data(?=\s))\b', Keyword.Declaration), + (r'(array|date|decimal|duration|integer|map|pair|string|tag|xml|' + r'null|boolean|bytes|keyword|list|locale|queue|set|stack|' + r'staticarray)\b', Keyword.Type), + (r'([a-z_][\w.]*)(\s+)(in)\b', bygroups(Name, Text, Keyword)), + (r'(let|into)(\s+)([a-z_][\w.]*)', bygroups(Keyword, Text, Name)), + (r'require\b', Keyword, 'requiresection'), + (r'(/?)(Namespace_Using)\b', bygroups(Punctuation, Keyword.Namespace)), + (r'(/?)(Cache|Database_Names|Database_SchemaNames|' + r'Database_TableNames|Define_Tag|Define_Type|Email_Batch|' + r'Encode_Set|HTML_Comment|Handle|Handle_Error|Header|If|Inline|' + r'Iterate|LJAX_Target|Link|Link_CurrentAction|Link_CurrentGroup|' + r'Link_CurrentRecord|Link_Detail|Link_FirstGroup|Link_FirstRecord|' + r'Link_LastGroup|Link_LastRecord|Link_NextGroup|Link_NextRecord|' + r'Link_PrevGroup|Link_PrevRecord|Log|Loop|Output_None|Portal|' + r'Private|Protect|Records|Referer|Referrer|Repeating|ResultSet|' + r'Rows|Search_Args|Search_Arguments|Select|Sort_Args|' + r'Sort_Arguments|Thread_Atomic|Value_List|While|Abort|Case|Else|' + r'Fail_If|Fail_IfNot|Fail|If_Empty|If_False|If_Null|If_True|' + r'Loop_Abort|Loop_Continue|Loop_Count|Params|Params_Up|Return|' + r'Return_Value|Run_Children|SOAP_DefineTag|SOAP_LastRequest|' + r'SOAP_LastResponse|Tag_Name|ascending|average|by|define|' + r'descending|do|equals|frozen|group|handle_failure|import|in|into|' + r'join|let|match|max|min|on|order|parent|protected|provide|public|' + r'require|returnhome|skip|split_thread|sum|take|thread|to|trait|' + r'type|where|with|yield|yieldhome)\b', + bygroups(Punctuation, Keyword)), + + # other + (r',', Punctuation, 'commamember'), + (r'(and|or|not)\b', Operator.Word), + (r'([a-z_][\w.]*)(\s*::\s*[a-z_][\w.]*)?(\s*=(?!=))', + bygroups(Name, Name.Label, Operator)), + (r'(/?)([\w.]+)', bygroups(Punctuation, Name.Other)), + (r'(=)(n?bw|n?ew|n?cn|lte?|gte?|n?eq|n?rx|ft)\b', + bygroups(Operator, Operator.Word)), + (r':=|[-+*/%=<>&|!?\\]+', Operator), + (r'[{}():;,@^]', Punctuation), + ], + 'singlestring': [ + (r"'", String.Single, '#pop'), + (r"[^'\\]+", String.Single), + include('escape'), + (r"\\", String.Single), + ], + 'doublestring': [ + (r'"', String.Double, '#pop'), + (r'[^"\\]+', String.Double), + include('escape'), + (r'\\', String.Double), + ], + 'escape': [ + (r'\\(U[\da-f]{8}|u[\da-f]{4}|x[\da-f]{1,2}|[0-7]{1,3}|:[^:\n\r]+:|' + r'[abefnrtv?"\'\\]|$)', String.Escape), + ], + 'signature': [ + (r'=>', Operator, '#pop'), + (r'\)', Punctuation, '#pop'), + (r'[(,]', Punctuation, 'parameter'), + include('lasso'), + ], + 'parameter': [ + (r'\)', Punctuation, '#pop'), + (r'-?[a-z_][\w.]*', Name.Attribute, '#pop'), + (r'\.\.\.', Name.Builtin.Pseudo), + include('lasso'), + ], + 'requiresection': [ + (r'(([a-z_][\w.]*=?|[-+*/%])(?=\s*\())', Name, 'requiresignature'), + (r'(([a-z_][\w.]*=?|[-+*/%])(?=(\s*::\s*[\w.]+)?\s*,))', Name), + (r'[a-z_][\w.]*=?|[-+*/%]', Name, '#pop'), + (r'::\s*[a-z_][\w.]*', Name.Label), + (r',', Punctuation), + include('whitespacecomments'), + ], + 'requiresignature': [ + (r'(\)(?=(\s*::\s*[\w.]+)?\s*,))', Punctuation, '#pop'), + (r'\)', Punctuation, '#pop:2'), + (r'-?[a-z_][\w.]*', Name.Attribute), + (r'::\s*[a-z_][\w.]*', Name.Label), + (r'\.\.\.', Name.Builtin.Pseudo), + (r'[(,]', Punctuation), + include('whitespacecomments'), + ], + 'commamember': [ + (r'(([a-z_][\w.]*=?|[-+*/%])' + r'(?=\s*(\(([^()]*\([^()]*\))*[^)]*\)\s*)?(::[\w.\s]+)?=>))', + Name.Function, 'signature'), + include('whitespacecomments'), + default('#pop'), + ], + } + + def __init__(self, **options): + self.builtinshighlighting = get_bool_opt( + options, 'builtinshighlighting', True) + self.requiredelimiters = get_bool_opt( + options, 'requiredelimiters', False) + + self._builtins = set() + self._members = set() + if self.builtinshighlighting: + from pygments.lexers._lasso_builtins import BUILTINS, MEMBERS + for key, value in iteritems(BUILTINS): + self._builtins.update(value) + for key, value in iteritems(MEMBERS): + self._members.update(value) + RegexLexer.__init__(self, **options) + + def get_tokens_unprocessed(self, text): + stack = ['root'] + if self.requiredelimiters: + stack.append('delimiters') + for index, token, value in \ + RegexLexer.get_tokens_unprocessed(self, text, stack): + if (token is Name.Other and value.lower() in self._builtins or + token is Name.Other.Member and + value.lower().rstrip('=') in self._members): + yield index, Name.Builtin, value + continue + yield index, token, value + + def analyse_text(text): + rv = 0.0 + if 'bin/lasso9' in text: + rv += 0.8 + if re.search(r'<\?lasso', text, re.I): + rv += 0.4 + if re.search(r'local\(', text, re.I): + rv += 0.4 + return rv + + +class ObjectiveJLexer(RegexLexer): + """ + For Objective-J source code with preprocessor directives. + + .. versionadded:: 1.3 + """ + + name = 'Objective-J' + aliases = ['objective-j', 'objectivej', 'obj-j', 'objj'] + filenames = ['*.j'] + mimetypes = ['text/x-objective-j'] + + #: optional Comment or Whitespace + _ws = r'(?:\s|//.*?\n|/[*].*?[*]/)*' + + flags = re.DOTALL | re.MULTILINE + + tokens = { + 'root': [ + include('whitespace'), + + # function definition + (r'^(' + _ws + r'[+-]' + _ws + r')([(a-zA-Z_].*?[^(])(' + _ws + r'\{)', + bygroups(using(this), using(this, state='function_signature'), + using(this))), + + # class definition + (r'(@interface|@implementation)(\s+)', bygroups(Keyword, Text), + 'classname'), + (r'(@class|@protocol)(\s*)', bygroups(Keyword, Text), + 'forward_classname'), + (r'(\s*)(@end)(\s*)', bygroups(Text, Keyword, Text)), + + include('statements'), + ('[{()}]', Punctuation), + (';', Punctuation), + ], + 'whitespace': [ + (r'(@import)(\s+)("(?:\\\\|\\"|[^"])*")', + bygroups(Comment.Preproc, Text, String.Double)), + (r'(@import)(\s+)(<(?:\\\\|\\>|[^>])*>)', + bygroups(Comment.Preproc, Text, String.Double)), + (r'(#(?:include|import))(\s+)("(?:\\\\|\\"|[^"])*")', + bygroups(Comment.Preproc, Text, String.Double)), + (r'(#(?:include|import))(\s+)(<(?:\\\\|\\>|[^>])*>)', + bygroups(Comment.Preproc, Text, String.Double)), + + (r'#if\s+0', Comment.Preproc, 'if0'), + (r'#', Comment.Preproc, 'macro'), + + (r'\n', Text), + (r'\s+', Text), + (r'\\\n', Text), # line continuation + (r'//(\n|(.|\n)*?[^\\]\n)', Comment.Single), + (r'/(\\\n)?[*](.|\n)*?[*](\\\n)?/', Comment.Multiline), + (r'', + # prec-lazy-or + u'||', + # prec-lazy-and + u'&&', + # prec-comparison + u'>', u'<', u'>=', u'≥', u'<=', u'≤', u'==', u'===', u'≡', u'!=', u'≠', + u'!==', u'≢', u'.>', u'.<', u'.>=', u'.≥', u'.<=', u'.≤', u'.==', u'.!=', + u'.≠', u'.=', u'.!', u'<:', u'>:', u'∈', u'∉', u'∋', u'∌', u'⊆', + u'⊈', u'⊂', + u'⊄', u'⊊', + # prec-pipe + u'|>', u'<|', + # prec-colon + u':', + # prec-plus + u'+', u'-', u'.+', u'.-', u'|', u'∪', u'$', + # prec-bitshift + u'<<', u'>>', u'>>>', u'.<<', u'.>>', u'.>>>', + # prec-times + u'*', u'/', u'./', u'÷', u'.÷', u'%', u'⋅', u'.%', u'.*', u'\\', u'.\\', u'&', u'∩', + # prec-rational + u'//', u'.//', + # prec-power + u'^', u'.^', + # prec-decl + u'::', + # prec-dot + u'.', + # unary op + u'+', u'-', u'!', u'~', u'√', u'∛', u'∜' + ]), Operator), + + # chars + (r"'(\\.|\\[0-7]{1,3}|\\x[a-fA-F0-9]{1,3}|\\u[a-fA-F0-9]{1,4}|" + r"\\U[a-fA-F0-9]{1,6}|[^\\\'\n])'", String.Char), + + # try to match trailing transpose + (r'(?<=[.\w)\]])\'+', Operator), + + # strings + (r'"""', String, 'tqstring'), + (r'"', String, 'string'), + + # regular expressions + (r'r"""', String.Regex, 'tqregex'), + (r'r"', String.Regex, 'regex'), + + # backticks + (r'`', String.Backtick, 'command'), + + # names + (allowed_variable, Name), + (r'@' + allowed_variable, Name.Decorator), + + # numbers + (r'(\d+(_\d+)+\.\d*|\d*\.\d+(_\d+)+)([eEf][+-]?[0-9]+)?', Number.Float), + (r'(\d+\.\d*|\d*\.\d+)([eEf][+-]?[0-9]+)?', Number.Float), + (r'\d+(_\d+)+[eEf][+-]?[0-9]+', Number.Float), + (r'\d+[eEf][+-]?[0-9]+', Number.Float), + (r'0b[01]+(_[01]+)+', Number.Bin), + (r'0b[01]+', Number.Bin), + (r'0o[0-7]+(_[0-7]+)+', Number.Oct), + (r'0o[0-7]+', Number.Oct), + (r'0x[a-fA-F0-9]+(_[a-fA-F0-9]+)+', Number.Hex), + (r'0x[a-fA-F0-9]+', Number.Hex), + (r'\d+(_\d+)+', Number.Integer), + (r'\d+', Number.Integer) + ], + + "blockcomment": [ + (r'[^=#]', Comment.Multiline), + (r'#=', Comment.Multiline, '#push'), + (r'=#', Comment.Multiline, '#pop'), + (r'[=#]', Comment.Multiline), + ], + + 'string': [ + (r'"', String, '#pop'), + # FIXME: This escape pattern is not perfect. + (r'\\([\\"\'$nrbtfav]|(x|u|U)[a-fA-F0-9]+|\d+)', String.Escape), + # Interpolation is defined as "$" followed by the shortest full + # expression, which is something we can't parse. + # Include the most common cases here: $word, and $(paren'd expr). + (r'\$' + allowed_variable, String.Interpol), + # (r'\$[a-zA-Z_]+', String.Interpol), + (r'(\$)(\()', bygroups(String.Interpol, Punctuation), 'in-intp'), + # @printf and @sprintf formats + (r'%[-#0 +]*([0-9]+|[*])?(\.([0-9]+|[*]))?[hlL]?[E-GXc-giorsux%]', + String.Interpol), + (r'.|\s', String), + ], + + 'tqstring': [ + (r'"""', String, '#pop'), + (r'\\([\\"\'$nrbtfav]|(x|u|U)[a-fA-F0-9]+|\d+)', String.Escape), + (r'\$' + allowed_variable, String.Interpol), + (r'(\$)(\()', bygroups(String.Interpol, Punctuation), 'in-intp'), + (r'.|\s', String), + ], + + 'regex': [ + (r'"', String.Regex, '#pop'), + (r'\\"', String.Regex), + (r'.|\s', String.Regex), + ], + + 'tqregex': [ + (r'"""', String.Regex, '#pop'), + (r'.|\s', String.Regex), + ], + + 'command': [ + (r'`', String.Backtick, '#pop'), + (r'\$' + allowed_variable, String.Interpol), + (r'(\$)(\()', bygroups(String.Interpol, Punctuation), 'in-intp'), + (r'.|\s', String.Backtick) + ], + + 'in-intp': [ + (r'\(', Punctuation, '#push'), + (r'\)', Punctuation, '#pop'), + include('root'), + ] + } + + def analyse_text(text): + return shebang_matches(text, r'julia') + + +class JuliaConsoleLexer(Lexer): + """ + For Julia console sessions. Modeled after MatlabSessionLexer. + + .. versionadded:: 1.6 + """ + name = 'Julia console' + aliases = ['jlcon'] + + def get_tokens_unprocessed(self, text): + jllexer = JuliaLexer(**self.options) + start = 0 + curcode = '' + insertions = [] + output = False + error = False + + for line in text.splitlines(True): + if line.startswith('julia>'): + insertions.append((len(curcode), [(0, Generic.Prompt, line[:6])])) + curcode += line[6:] + output = False + error = False + elif line.startswith('help?>') or line.startswith('shell>'): + yield start, Generic.Prompt, line[:6] + yield start + 6, Text, line[6:] + output = False + error = False + elif line.startswith(' ') and not output: + insertions.append((len(curcode), [(0, Text, line[:6])])) + curcode += line[6:] + else: + if curcode: + for item in do_insertions( + insertions, jllexer.get_tokens_unprocessed(curcode)): + yield item + curcode = '' + insertions = [] + if line.startswith('ERROR: ') or error: + yield start, Generic.Error, line + error = True + else: + yield start, Generic.Output, line + output = True + start += len(line) + + if curcode: + for item in do_insertions( + insertions, jllexer.get_tokens_unprocessed(curcode)): + yield item diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/jvm.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/jvm.py new file mode 100644 index 0000000000000000000000000000000000000000..f4392839ea7f4251e0851b31553d6106daeae40e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/jvm.py @@ -0,0 +1,1573 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.jvm + ~~~~~~~~~~~~~~~~~~~ + + Pygments lexers for JVM languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, include, bygroups, using, \ + this, combined, default, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation +from pygments.util import shebang_matches +from pygments import unistring as uni + +__all__ = ['JavaLexer', 'ScalaLexer', 'GosuLexer', 'GosuTemplateLexer', + 'GroovyLexer', 'IokeLexer', 'ClojureLexer', 'ClojureScriptLexer', + 'KotlinLexer', 'XtendLexer', 'AspectJLexer', 'CeylonLexer', + 'PigLexer', 'GoloLexer', 'JasminLexer'] + + +class JavaLexer(RegexLexer): + """ + For `Java `_ source code. + """ + + name = 'Java' + aliases = ['java'] + filenames = ['*.java'] + mimetypes = ['text/x-java'] + + flags = re.MULTILINE | re.DOTALL | re.UNICODE + + tokens = { + 'root': [ + (r'[^\S\n]+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + # keywords: go before method names to avoid lexing "throw new XYZ" + # as a method signature + (r'(assert|break|case|catch|continue|default|do|else|finally|for|' + r'if|goto|instanceof|new|return|switch|this|throw|try|while)\b', + Keyword), + # method names + (r'((?:(?:[^\W\d]|\$)[\w.\[\]$<>]*\s+)+?)' # return arguments + r'((?:[^\W\d]|\$)[\w$]*)' # method name + r'(\s*)(\()', # signature start + bygroups(using(this), Name.Function, Text, Operator)), + (r'@[^\W\d][\w.]*', Name.Decorator), + (r'(abstract|const|enum|extends|final|implements|native|private|' + r'protected|public|static|strictfp|super|synchronized|throws|' + r'transient|volatile)\b', Keyword.Declaration), + (r'(boolean|byte|char|double|float|int|long|short|void)\b', + Keyword.Type), + (r'(package)(\s+)', bygroups(Keyword.Namespace, Text), 'import'), + (r'(true|false|null)\b', Keyword.Constant), + (r'(class|interface)(\s+)', bygroups(Keyword.Declaration, Text), + 'class'), + (r'(import(?:\s+static)?)(\s+)', bygroups(Keyword.Namespace, Text), + 'import'), + (r'"(\\\\|\\"|[^"])*"', String), + (r"'\\.'|'[^\\]'|'\\u[0-9a-fA-F]{4}'", String.Char), + (r'(\.)((?:[^\W\d]|\$)[\w$]*)', bygroups(Operator, Name.Attribute)), + (r'^\s*([^\W\d]|\$)[\w$]*:', Name.Label), + (r'([^\W\d]|\$)[\w$]*', Name), + (r'([0-9][0-9_]*\.([0-9][0-9_]*)?|' + r'\.[0-9][0-9_]*)' + r'([eE][+\-]?[0-9][0-9_]*)?[fFdD]?|' + r'[0-9][eE][+\-]?[0-9][0-9_]*[fFdD]?|' + r'[0-9]([eE][+\-]?[0-9][0-9_]*)?[fFdD]|' + r'0[xX]([0-9a-fA-F][0-9a-fA-F_]*\.?|' + r'([0-9a-fA-F][0-9a-fA-F_]*)?\.[0-9a-fA-F][0-9a-fA-F_]*)' + r'[pP][+\-]?[0-9][0-9_]*[fFdD]?', Number.Float), + (r'0[xX][0-9a-fA-F][0-9a-fA-F_]*[lL]?', Number.Hex), + (r'0[bB][01][01_]*[lL]?', Number.Bin), + (r'0[0-7_]+[lL]?', Number.Oct), + (r'0|[1-9][0-9_]*[lL]?', Number.Integer), + (r'[~^*!%&\[\](){}<>|+=:;,./?-]', Operator), + (r'\n', Text) + ], + 'class': [ + (r'([^\W\d]|\$)[\w$]*', Name.Class, '#pop') + ], + 'import': [ + (r'[\w.]+\*?', Name.Namespace, '#pop') + ], + } + + +class AspectJLexer(JavaLexer): + """ + For `AspectJ `_ source code. + + .. versionadded:: 1.6 + """ + + name = 'AspectJ' + aliases = ['aspectj'] + filenames = ['*.aj'] + mimetypes = ['text/x-aspectj'] + + aj_keywords = set(( + 'aspect', 'pointcut', 'privileged', 'call', 'execution', + 'initialization', 'preinitialization', 'handler', 'get', 'set', + 'staticinitialization', 'target', 'args', 'within', 'withincode', + 'cflow', 'cflowbelow', 'annotation', 'before', 'after', 'around', + 'proceed', 'throwing', 'returning', 'adviceexecution', 'declare', + 'parents', 'warning', 'error', 'soft', 'precedence', 'thisJoinPoint', + 'thisJoinPointStaticPart', 'thisEnclosingJoinPointStaticPart', + 'issingleton', 'perthis', 'pertarget', 'percflow', 'percflowbelow', + 'pertypewithin', 'lock', 'unlock', 'thisAspectInstance' + )) + aj_inter_type = set(('parents:', 'warning:', 'error:', 'soft:', 'precedence:')) + aj_inter_type_annotation = set(('@type', '@method', '@constructor', '@field')) + + def get_tokens_unprocessed(self, text): + for index, token, value in JavaLexer.get_tokens_unprocessed(self, text): + if token is Name and value in self.aj_keywords: + yield index, Keyword, value + elif token is Name.Label and value in self.aj_inter_type: + yield index, Keyword, value[:-1] + yield index, Operator, value[-1] + elif token is Name.Decorator and value in self.aj_inter_type_annotation: + yield index, Keyword, value + else: + yield index, token, value + + +class ScalaLexer(RegexLexer): + """ + For `Scala `_ source code. + """ + + name = 'Scala' + aliases = ['scala'] + filenames = ['*.scala'] + mimetypes = ['text/x-scala'] + + flags = re.MULTILINE | re.DOTALL + + # don't use raw unicode strings! + op = (u'[-~\\^\\*!%&\\\\<>\\|+=:/?@\u00a6-\u00a7\u00a9\u00ac\u00ae\u00b0-\u00b1' + u'\u00b6\u00d7\u00f7\u03f6\u0482\u0606-\u0608\u060e-\u060f\u06e9' + u'\u06fd-\u06fe\u07f6\u09fa\u0b70\u0bf3-\u0bf8\u0bfa\u0c7f\u0cf1-\u0cf2' + u'\u0d79\u0f01-\u0f03\u0f13-\u0f17\u0f1a-\u0f1f\u0f34\u0f36\u0f38' + u'\u0fbe-\u0fc5\u0fc7-\u0fcf\u109e-\u109f\u1360\u1390-\u1399\u1940' + u'\u19e0-\u19ff\u1b61-\u1b6a\u1b74-\u1b7c\u2044\u2052\u207a-\u207c' + u'\u208a-\u208c\u2100-\u2101\u2103-\u2106\u2108-\u2109\u2114\u2116-\u2118' + u'\u211e-\u2123\u2125\u2127\u2129\u212e\u213a-\u213b\u2140-\u2144' + u'\u214a-\u214d\u214f\u2190-\u2328\u232b-\u244a\u249c-\u24e9\u2500-\u2767' + u'\u2794-\u27c4\u27c7-\u27e5\u27f0-\u2982\u2999-\u29d7\u29dc-\u29fb' + u'\u29fe-\u2b54\u2ce5-\u2cea\u2e80-\u2ffb\u3004\u3012-\u3013\u3020' + u'\u3036-\u3037\u303e-\u303f\u3190-\u3191\u3196-\u319f\u31c0-\u31e3' + u'\u3200-\u321e\u322a-\u3250\u3260-\u327f\u328a-\u32b0\u32c0-\u33ff' + u'\u4dc0-\u4dff\ua490-\ua4c6\ua828-\ua82b\ufb29\ufdfd\ufe62\ufe64-\ufe66' + u'\uff0b\uff1c-\uff1e\uff5c\uff5e\uffe2\uffe4\uffe8-\uffee\ufffc-\ufffd]+') + + letter = (u'[a-zA-Z\\$_\u00aa\u00b5\u00ba\u00c0-\u00d6\u00d8-\u00f6' + u'\u00f8-\u02af\u0370-\u0373\u0376-\u0377\u037b-\u037d\u0386' + u'\u0388-\u03f5\u03f7-\u0481\u048a-\u0556\u0561-\u0587\u05d0-\u05f2' + u'\u0621-\u063f\u0641-\u064a\u066e-\u066f\u0671-\u06d3\u06d5' + u'\u06ee-\u06ef\u06fa-\u06fc\u06ff\u0710\u0712-\u072f\u074d-\u07a5' + u'\u07b1\u07ca-\u07ea\u0904-\u0939\u093d\u0950\u0958-\u0961' + u'\u0972-\u097f\u0985-\u09b9\u09bd\u09ce\u09dc-\u09e1\u09f0-\u09f1' + u'\u0a05-\u0a39\u0a59-\u0a5e\u0a72-\u0a74\u0a85-\u0ab9\u0abd' + u'\u0ad0-\u0ae1\u0b05-\u0b39\u0b3d\u0b5c-\u0b61\u0b71\u0b83-\u0bb9' + u'\u0bd0\u0c05-\u0c3d\u0c58-\u0c61\u0c85-\u0cb9\u0cbd\u0cde-\u0ce1' + u'\u0d05-\u0d3d\u0d60-\u0d61\u0d7a-\u0d7f\u0d85-\u0dc6\u0e01-\u0e30' + u'\u0e32-\u0e33\u0e40-\u0e45\u0e81-\u0eb0\u0eb2-\u0eb3\u0ebd-\u0ec4' + u'\u0edc-\u0f00\u0f40-\u0f6c\u0f88-\u0f8b\u1000-\u102a\u103f' + u'\u1050-\u1055\u105a-\u105d\u1061\u1065-\u1066\u106e-\u1070' + u'\u1075-\u1081\u108e\u10a0-\u10fa\u1100-\u135a\u1380-\u138f' + u'\u13a0-\u166c\u166f-\u1676\u1681-\u169a\u16a0-\u16ea\u16ee-\u1711' + u'\u1720-\u1731\u1740-\u1751\u1760-\u1770\u1780-\u17b3\u17dc' + u'\u1820-\u1842\u1844-\u18a8\u18aa-\u191c\u1950-\u19a9\u19c1-\u19c7' + u'\u1a00-\u1a16\u1b05-\u1b33\u1b45-\u1b4b\u1b83-\u1ba0\u1bae-\u1baf' + u'\u1c00-\u1c23\u1c4d-\u1c4f\u1c5a-\u1c77\u1d00-\u1d2b\u1d62-\u1d77' + u'\u1d79-\u1d9a\u1e00-\u1fbc\u1fbe\u1fc2-\u1fcc\u1fd0-\u1fdb' + u'\u1fe0-\u1fec\u1ff2-\u1ffc\u2071\u207f\u2102\u2107\u210a-\u2113' + u'\u2115\u2119-\u211d\u2124\u2126\u2128\u212a-\u212d\u212f-\u2139' + u'\u213c-\u213f\u2145-\u2149\u214e\u2160-\u2188\u2c00-\u2c7c' + u'\u2c80-\u2ce4\u2d00-\u2d65\u2d80-\u2dde\u3006-\u3007\u3021-\u3029' + u'\u3038-\u303a\u303c\u3041-\u3096\u309f\u30a1-\u30fa\u30ff-\u318e' + u'\u31a0-\u31b7\u31f0-\u31ff\u3400-\u4db5\u4e00-\ua014\ua016-\ua48c' + u'\ua500-\ua60b\ua610-\ua61f\ua62a-\ua66e\ua680-\ua697\ua722-\ua76f' + u'\ua771-\ua787\ua78b-\ua801\ua803-\ua805\ua807-\ua80a\ua80c-\ua822' + u'\ua840-\ua873\ua882-\ua8b3\ua90a-\ua925\ua930-\ua946\uaa00-\uaa28' + u'\uaa40-\uaa42\uaa44-\uaa4b\uac00-\ud7a3\uf900-\ufb1d\ufb1f-\ufb28' + u'\ufb2a-\ufd3d\ufd50-\ufdfb\ufe70-\ufefc\uff21-\uff3a\uff41-\uff5a' + u'\uff66-\uff6f\uff71-\uff9d\uffa0-\uffdc]') + + upper = (u'[A-Z\\$_\u00c0-\u00d6\u00d8-\u00de\u0100\u0102\u0104\u0106\u0108' + u'\u010a\u010c\u010e\u0110\u0112\u0114\u0116\u0118\u011a\u011c' + u'\u011e\u0120\u0122\u0124\u0126\u0128\u012a\u012c\u012e\u0130' + u'\u0132\u0134\u0136\u0139\u013b\u013d\u013f\u0141\u0143\u0145' + u'\u0147\u014a\u014c\u014e\u0150\u0152\u0154\u0156\u0158\u015a' + u'\u015c\u015e\u0160\u0162\u0164\u0166\u0168\u016a\u016c\u016e' + u'\u0170\u0172\u0174\u0176\u0178-\u0179\u017b\u017d\u0181-\u0182' + u'\u0184\u0186-\u0187\u0189-\u018b\u018e-\u0191\u0193-\u0194' + u'\u0196-\u0198\u019c-\u019d\u019f-\u01a0\u01a2\u01a4\u01a6-\u01a7' + u'\u01a9\u01ac\u01ae-\u01af\u01b1-\u01b3\u01b5\u01b7-\u01b8\u01bc' + u'\u01c4\u01c7\u01ca\u01cd\u01cf\u01d1\u01d3\u01d5\u01d7\u01d9' + u'\u01db\u01de\u01e0\u01e2\u01e4\u01e6\u01e8\u01ea\u01ec\u01ee' + u'\u01f1\u01f4\u01f6-\u01f8\u01fa\u01fc\u01fe\u0200\u0202\u0204' + u'\u0206\u0208\u020a\u020c\u020e\u0210\u0212\u0214\u0216\u0218' + u'\u021a\u021c\u021e\u0220\u0222\u0224\u0226\u0228\u022a\u022c' + u'\u022e\u0230\u0232\u023a-\u023b\u023d-\u023e\u0241\u0243-\u0246' + u'\u0248\u024a\u024c\u024e\u0370\u0372\u0376\u0386\u0388-\u038f' + u'\u0391-\u03ab\u03cf\u03d2-\u03d4\u03d8\u03da\u03dc\u03de\u03e0' + u'\u03e2\u03e4\u03e6\u03e8\u03ea\u03ec\u03ee\u03f4\u03f7' + u'\u03f9-\u03fa\u03fd-\u042f\u0460\u0462\u0464\u0466\u0468\u046a' + u'\u046c\u046e\u0470\u0472\u0474\u0476\u0478\u047a\u047c\u047e' + u'\u0480\u048a\u048c\u048e\u0490\u0492\u0494\u0496\u0498\u049a' + u'\u049c\u049e\u04a0\u04a2\u04a4\u04a6\u04a8\u04aa\u04ac\u04ae' + u'\u04b0\u04b2\u04b4\u04b6\u04b8\u04ba\u04bc\u04be\u04c0-\u04c1' + u'\u04c3\u04c5\u04c7\u04c9\u04cb\u04cd\u04d0\u04d2\u04d4\u04d6' + u'\u04d8\u04da\u04dc\u04de\u04e0\u04e2\u04e4\u04e6\u04e8\u04ea' + u'\u04ec\u04ee\u04f0\u04f2\u04f4\u04f6\u04f8\u04fa\u04fc\u04fe' + u'\u0500\u0502\u0504\u0506\u0508\u050a\u050c\u050e\u0510\u0512' + u'\u0514\u0516\u0518\u051a\u051c\u051e\u0520\u0522\u0531-\u0556' + u'\u10a0-\u10c5\u1e00\u1e02\u1e04\u1e06\u1e08\u1e0a\u1e0c\u1e0e' + u'\u1e10\u1e12\u1e14\u1e16\u1e18\u1e1a\u1e1c\u1e1e\u1e20\u1e22' + u'\u1e24\u1e26\u1e28\u1e2a\u1e2c\u1e2e\u1e30\u1e32\u1e34\u1e36' + u'\u1e38\u1e3a\u1e3c\u1e3e\u1e40\u1e42\u1e44\u1e46\u1e48\u1e4a' + u'\u1e4c\u1e4e\u1e50\u1e52\u1e54\u1e56\u1e58\u1e5a\u1e5c\u1e5e' + u'\u1e60\u1e62\u1e64\u1e66\u1e68\u1e6a\u1e6c\u1e6e\u1e70\u1e72' + u'\u1e74\u1e76\u1e78\u1e7a\u1e7c\u1e7e\u1e80\u1e82\u1e84\u1e86' + u'\u1e88\u1e8a\u1e8c\u1e8e\u1e90\u1e92\u1e94\u1e9e\u1ea0\u1ea2' + u'\u1ea4\u1ea6\u1ea8\u1eaa\u1eac\u1eae\u1eb0\u1eb2\u1eb4\u1eb6' + u'\u1eb8\u1eba\u1ebc\u1ebe\u1ec0\u1ec2\u1ec4\u1ec6\u1ec8\u1eca' + u'\u1ecc\u1ece\u1ed0\u1ed2\u1ed4\u1ed6\u1ed8\u1eda\u1edc\u1ede' + u'\u1ee0\u1ee2\u1ee4\u1ee6\u1ee8\u1eea\u1eec\u1eee\u1ef0\u1ef2' + u'\u1ef4\u1ef6\u1ef8\u1efa\u1efc\u1efe\u1f08-\u1f0f\u1f18-\u1f1d' + u'\u1f28-\u1f2f\u1f38-\u1f3f\u1f48-\u1f4d\u1f59-\u1f5f' + u'\u1f68-\u1f6f\u1fb8-\u1fbb\u1fc8-\u1fcb\u1fd8-\u1fdb' + u'\u1fe8-\u1fec\u1ff8-\u1ffb\u2102\u2107\u210b-\u210d\u2110-\u2112' + u'\u2115\u2119-\u211d\u2124\u2126\u2128\u212a-\u212d\u2130-\u2133' + u'\u213e-\u213f\u2145\u2183\u2c00-\u2c2e\u2c60\u2c62-\u2c64\u2c67' + u'\u2c69\u2c6b\u2c6d-\u2c6f\u2c72\u2c75\u2c80\u2c82\u2c84\u2c86' + u'\u2c88\u2c8a\u2c8c\u2c8e\u2c90\u2c92\u2c94\u2c96\u2c98\u2c9a' + u'\u2c9c\u2c9e\u2ca0\u2ca2\u2ca4\u2ca6\u2ca8\u2caa\u2cac\u2cae' + u'\u2cb0\u2cb2\u2cb4\u2cb6\u2cb8\u2cba\u2cbc\u2cbe\u2cc0\u2cc2' + u'\u2cc4\u2cc6\u2cc8\u2cca\u2ccc\u2cce\u2cd0\u2cd2\u2cd4\u2cd6' + u'\u2cd8\u2cda\u2cdc\u2cde\u2ce0\u2ce2\ua640\ua642\ua644\ua646' + u'\ua648\ua64a\ua64c\ua64e\ua650\ua652\ua654\ua656\ua658\ua65a' + u'\ua65c\ua65e\ua662\ua664\ua666\ua668\ua66a\ua66c\ua680\ua682' + u'\ua684\ua686\ua688\ua68a\ua68c\ua68e\ua690\ua692\ua694\ua696' + u'\ua722\ua724\ua726\ua728\ua72a\ua72c\ua72e\ua732\ua734\ua736' + u'\ua738\ua73a\ua73c\ua73e\ua740\ua742\ua744\ua746\ua748\ua74a' + u'\ua74c\ua74e\ua750\ua752\ua754\ua756\ua758\ua75a\ua75c\ua75e' + u'\ua760\ua762\ua764\ua766\ua768\ua76a\ua76c\ua76e\ua779\ua77b' + u'\ua77d-\ua77e\ua780\ua782\ua784\ua786\ua78b\uff21-\uff3a]') + + idrest = u'%s(?:%s|[0-9])*(?:(?<=_)%s)?' % (letter, letter, op) + letter_letter_digit = u'%s(?:%s|\d)*' % (letter, letter) + + tokens = { + 'root': [ + # method names + (r'(class|trait|object)(\s+)', bygroups(Keyword, Text), 'class'), + (r'[^\S\n]+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*', Comment.Multiline, 'comment'), + (u'@%s' % idrest, Name.Decorator), + (u'(abstract|ca(?:se|tch)|d(?:ef|o)|e(?:lse|xtends)|' + u'f(?:inal(?:ly)?|or(?:Some)?)|i(?:f|mplicit)|' + u'lazy|match|new|override|pr(?:ivate|otected)' + u'|re(?:quires|turn)|s(?:ealed|uper)|' + u't(?:h(?:is|row)|ry)|va[lr]|w(?:hile|ith)|yield)\\b|' + u'(<[%:-]|=>|>:|[#=@_\u21D2\u2190])(\\b|(?=\\s)|$)', Keyword), + (u':(?!%s)' % op, Keyword, 'type'), + (u'%s%s\\b' % (upper, idrest), Name.Class), + (r'(true|false|null)\b', Keyword.Constant), + (r'(import|package)(\s+)', bygroups(Keyword, Text), 'import'), + (r'(type)(\s+)', bygroups(Keyword, Text), 'type'), + (r'""".*?"""(?!")', String), + (r'"(\\\\|\\"|[^"])*"', String), + (r"'\\.'|'[^\\]'|'\\u[0-9a-fA-F]{4}'", String.Char), + (u"'%s" % idrest, Text.Symbol), + (r'[fs]"""', String, 'interptriplestring'), # interpolated strings + (r'[fs]"', String, 'interpstring'), # interpolated strings + (r'raw"(\\\\|\\"|[^"])*"', String), # raw strings + # (ur'(\.)(%s|%s|`[^`]+`)' % (idrest, op), bygroups(Operator, + # Name.Attribute)), + (idrest, Name), + (r'`[^`]+`', Name), + (r'\[', Operator, 'typeparam'), + (r'[(){};,.#]', Operator), + (op, Operator), + (r'([0-9][0-9]*\.[0-9]*|\.[0-9]+)([eE][+-]?[0-9]+)?[fFdD]?', + Number.Float), + (r'0x[0-9a-fA-F]+', Number.Hex), + (r'[0-9]+L?', Number.Integer), + (r'\n', Text) + ], + 'class': [ + (u'(%s|%s|`[^`]+`)(\\s*)(\\[)' % (idrest, op), + bygroups(Name.Class, Text, Operator), 'typeparam'), + (r'\s+', Text), + (r'\{', Operator, '#pop'), + (r'\(', Operator, '#pop'), + (r'//.*?\n', Comment.Single, '#pop'), + (u'%s|%s|`[^`]+`' % (idrest, op), Name.Class, '#pop'), + ], + 'type': [ + (r'\s+', Text), + (r'<[%:]|>:|[#_]|forSome|type', Keyword), + (u'([,);}]|=>|=|\u21d2)(\\s*)', bygroups(Operator, Text), '#pop'), + (r'[({]', Operator, '#push'), + (u'((?:%s|%s|`[^`]+`)(?:\\.(?:%s|%s|`[^`]+`))*)(\\s*)(\\[)' % + (idrest, op, idrest, op), + bygroups(Keyword.Type, Text, Operator), ('#pop', 'typeparam')), + (u'((?:%s|%s|`[^`]+`)(?:\\.(?:%s|%s|`[^`]+`))*)(\\s*)$' % + (idrest, op, idrest, op), + bygroups(Keyword.Type, Text), '#pop'), + (r'//.*?\n', Comment.Single, '#pop'), + (u'\\.|%s|%s|`[^`]+`' % (idrest, op), Keyword.Type) + ], + 'typeparam': [ + (r'[\s,]+', Text), + (u'<[%:]|=>|>:|[#_\u21D2]|forSome|type', Keyword), + (r'([\])}])', Operator, '#pop'), + (r'[(\[{]', Operator, '#push'), + (u'\\.|%s|%s|`[^`]+`' % (idrest, op), Keyword.Type) + ], + 'comment': [ + (r'[^/*]+', Comment.Multiline), + (r'/\*', Comment.Multiline, '#push'), + (r'\*/', Comment.Multiline, '#pop'), + (r'[*/]', Comment.Multiline) + ], + 'import': [ + (u'(%s|\\.)+' % idrest, Name.Namespace, '#pop') + ], + 'interpstringcommon': [ + (r'[^"$\\]+', String), + (r'\$\$', String), + (r'\$' + letter_letter_digit, String.Interpol), + (r'\$\{', String.Interpol, 'interpbrace'), + (r'\\.', String), + ], + 'interptriplestring': [ + (r'"""(?!")', String, '#pop'), + (r'"', String), + include('interpstringcommon'), + ], + 'interpstring': [ + (r'"', String, '#pop'), + include('interpstringcommon'), + ], + 'interpbrace': [ + (r'\}', String.Interpol, '#pop'), + (r'\{', String.Interpol, '#push'), + include('root'), + ], + } + + +class GosuLexer(RegexLexer): + """ + For Gosu source code. + + .. versionadded:: 1.5 + """ + + name = 'Gosu' + aliases = ['gosu'] + filenames = ['*.gs', '*.gsx', '*.gsp', '*.vark'] + mimetypes = ['text/x-gosu'] + + flags = re.MULTILINE | re.DOTALL + + tokens = { + 'root': [ + # method names + (r'^(\s*(?:[a-zA-Z_][\w.\[\]]*\s+)+?)' # modifiers etc. + r'([a-zA-Z_]\w*)' # method name + r'(\s*)(\()', # signature start + bygroups(using(this), Name.Function, Text, Operator)), + (r'[^\S\n]+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + (r'@[a-zA-Z_][\w.]*', Name.Decorator), + (r'(in|as|typeof|statictypeof|typeis|typeas|if|else|foreach|for|' + r'index|while|do|continue|break|return|try|catch|finally|this|' + r'throw|new|switch|case|default|eval|super|outer|classpath|' + r'using)\b', Keyword), + (r'(var|delegate|construct|function|private|internal|protected|' + r'public|abstract|override|final|static|extends|transient|' + r'implements|represents|readonly)\b', Keyword.Declaration), + (r'(property\s+)(get|set)?', Keyword.Declaration), + (r'(boolean|byte|char|double|float|int|long|short|void|block)\b', + Keyword.Type), + (r'(package)(\s+)', bygroups(Keyword.Namespace, Text)), + (r'(true|false|null|NaN|Infinity)\b', Keyword.Constant), + (r'(class|interface|enhancement|enum)(\s+)([a-zA-Z_]\w*)', + bygroups(Keyword.Declaration, Text, Name.Class)), + (r'(uses)(\s+)([\w.]+\*?)', + bygroups(Keyword.Namespace, Text, Name.Namespace)), + (r'"', String, 'string'), + (r'(\??[.#])([a-zA-Z_]\w*)', + bygroups(Operator, Name.Attribute)), + (r'(:)([a-zA-Z_]\w*)', + bygroups(Operator, Name.Attribute)), + (r'[a-zA-Z_$]\w*', Name), + (r'and|or|not|[\\~^*!%&\[\](){}<>|+=:;,./?-]', Operator), + (r'[0-9][0-9]*\.[0-9]+([eE][0-9]+)?[fd]?', Number.Float), + (r'[0-9]+', Number.Integer), + (r'\n', Text) + ], + 'templateText': [ + (r'(\\<)|(\\\$)', String), + (r'(<%@\s+)(extends|params)', + bygroups(Operator, Name.Decorator), 'stringTemplate'), + (r'<%!--.*?--%>', Comment.Multiline), + (r'(<%)|(<%=)', Operator, 'stringTemplate'), + (r'\$\{', Operator, 'stringTemplateShorthand'), + (r'.', String) + ], + 'string': [ + (r'"', String, '#pop'), + include('templateText') + ], + 'stringTemplate': [ + (r'"', String, 'string'), + (r'%>', Operator, '#pop'), + include('root') + ], + 'stringTemplateShorthand': [ + (r'"', String, 'string'), + (r'\{', Operator, 'stringTemplateShorthand'), + (r'\}', Operator, '#pop'), + include('root') + ], + } + + +class GosuTemplateLexer(Lexer): + """ + For Gosu templates. + + .. versionadded:: 1.5 + """ + + name = 'Gosu Template' + aliases = ['gst'] + filenames = ['*.gst'] + mimetypes = ['text/x-gosu-template'] + + def get_tokens_unprocessed(self, text): + lexer = GosuLexer() + stack = ['templateText'] + for item in lexer.get_tokens_unprocessed(text, stack): + yield item + + +class GroovyLexer(RegexLexer): + """ + For `Groovy `_ source code. + + .. versionadded:: 1.5 + """ + + name = 'Groovy' + aliases = ['groovy'] + filenames = ['*.groovy','*.gradle'] + mimetypes = ['text/x-groovy'] + + flags = re.MULTILINE | re.DOTALL + + tokens = { + 'root': [ + # Groovy allows a file to start with a shebang + (r'#!(.*?)$', Comment.Preproc, 'base'), + default('base'), + ], + 'base': [ + # method names + (r'^(\s*(?:[a-zA-Z_][\w.\[\]]*\s+)+?)' # return arguments + r'([a-zA-Z_]\w*)' # method name + r'(\s*)(\()', # signature start + bygroups(using(this), Name.Function, Text, Operator)), + (r'[^\S\n]+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + (r'@[a-zA-Z_][\w.]*', Name.Decorator), + (r'(assert|break|case|catch|continue|default|do|else|finally|for|' + r'if|goto|instanceof|new|return|switch|this|throw|try|while|in|as)\b', + Keyword), + (r'(abstract|const|enum|extends|final|implements|native|private|' + r'protected|public|static|strictfp|super|synchronized|throws|' + r'transient|volatile)\b', Keyword.Declaration), + (r'(def|boolean|byte|char|double|float|int|long|short|void)\b', + Keyword.Type), + (r'(package)(\s+)', bygroups(Keyword.Namespace, Text)), + (r'(true|false|null)\b', Keyword.Constant), + (r'(class|interface)(\s+)', bygroups(Keyword.Declaration, Text), + 'class'), + (r'(import)(\s+)', bygroups(Keyword.Namespace, Text), 'import'), + (r'""".*?"""', String.Double), + (r"'''.*?'''", String.Single), + (r'"(\\\\|\\"|[^"])*"', String.Double), + (r"'(\\\\|\\'|[^'])*'", String.Single), + (r'\$/((?!/\$).)*/\$', String), + (r'/(\\\\|\\"|[^/])*/', String), + (r"'\\.'|'[^\\]'|'\\u[0-9a-fA-F]{4}'", String.Char), + (r'(\.)([a-zA-Z_]\w*)', bygroups(Operator, Name.Attribute)), + (r'[a-zA-Z_]\w*:', Name.Label), + (r'[a-zA-Z_$]\w*', Name), + (r'[~^*!%&\[\](){}<>|+=:;,./?-]', Operator), + (r'[0-9][0-9]*\.[0-9]+([eE][0-9]+)?[fd]?', Number.Float), + (r'0x[0-9a-fA-F]+', Number.Hex), + (r'[0-9]+L?', Number.Integer), + (r'\n', Text) + ], + 'class': [ + (r'[a-zA-Z_]\w*', Name.Class, '#pop') + ], + 'import': [ + (r'[\w.]+\*?', Name.Namespace, '#pop') + ], + } + + def analyse_text(text): + return shebang_matches(text, r'groovy') + + +class IokeLexer(RegexLexer): + """ + For `Ioke `_ (a strongly typed, dynamic, + prototype based programming language) source. + + .. versionadded:: 1.4 + """ + name = 'Ioke' + filenames = ['*.ik'] + aliases = ['ioke', 'ik'] + mimetypes = ['text/x-iokesrc'] + tokens = { + 'interpolatableText': [ + (r'(\\b|\\e|\\t|\\n|\\f|\\r|\\"|\\\\|\\#|\\\Z|\\u[0-9a-fA-F]{1,4}' + r'|\\[0-3]?[0-7]?[0-7])', String.Escape), + (r'#\{', Punctuation, 'textInterpolationRoot') + ], + + 'text': [ + (r'(?>|\|\|>>|\*\*>>|:::|::|\.\.\.|===|\*\*>|\*\*=|&&>|&&=|' + r'\|\|>|\|\|=|\->>|\+>>|!>>|<>>>|<>>|&>>|%>>|#>>|@>>|/>>|\*>>|' + r'\?>>|\|>>|\^>>|~>>|\$>>|=>>|<<=|>>=|<=>|<\->|=~|!~|=>|\+\+|' + r'\-\-|<=|>=|==|!=|&&|\.\.|\+=|\-=|\*=|\/=|%=|&=|\^=|\|=|<\-|' + r'\+>|!>|<>|&>|%>|#>|\@>|\/>|\*>|\?>|\|>|\^>|~>|\$>|<\->|\->|' + r'<<|>>|\*\*|\?\||\?&|\|\||>|<|\*|\/|%|\+|\-|&|\^|\||=|\$|!|~|' + u'\\?|#|\u2260|\u2218|\u2208|\u2209)', Operator), + (r'(and|nand|or|xor|nor|return|import)(?![\w!?])', + Operator), + + # Punctuation + (r'(\`\`|\`|\'\'|\'|\.|\,|@@|@|\[|\]|\(|\)|\{|\})', Punctuation), + + # kinds + (r'[A-Z][\w!:?]*', Name.Class), + + # default cellnames + (r'[a-z_][\w!:?]*', Name) + ] + } + + +class ClojureLexer(RegexLexer): + """ + Lexer for `Clojure `_ source code. + + .. versionadded:: 0.11 + """ + name = 'Clojure' + aliases = ['clojure', 'clj'] + filenames = ['*.clj'] + mimetypes = ['text/x-clojure', 'application/x-clojure'] + + special_forms = ( + '.', 'def', 'do', 'fn', 'if', 'let', 'new', 'quote', 'var', 'loop' + ) + + # It's safe to consider 'ns' a declaration thing because it defines a new + # namespace. + declarations = ( + 'def-', 'defn', 'defn-', 'defmacro', 'defmulti', 'defmethod', + 'defstruct', 'defonce', 'declare', 'definline', 'definterface', + 'defprotocol', 'defrecord', 'deftype', 'defproject', 'ns' + ) + + builtins = ( + '*', '+', '-', '->', '/', '<', '<=', '=', '==', '>', '>=', '..', + 'accessor', 'agent', 'agent-errors', 'aget', 'alength', 'all-ns', + 'alter', 'and', 'append-child', 'apply', 'array-map', 'aset', + 'aset-boolean', 'aset-byte', 'aset-char', 'aset-double', 'aset-float', + 'aset-int', 'aset-long', 'aset-short', 'assert', 'assoc', 'await', + 'await-for', 'bean', 'binding', 'bit-and', 'bit-not', 'bit-or', + 'bit-shift-left', 'bit-shift-right', 'bit-xor', 'boolean', 'branch?', + 'butlast', 'byte', 'cast', 'char', 'children', 'class', + 'clear-agent-errors', 'comment', 'commute', 'comp', 'comparator', + 'complement', 'concat', 'conj', 'cons', 'constantly', 'cond', 'if-not', + 'construct-proxy', 'contains?', 'count', 'create-ns', 'create-struct', + 'cycle', 'dec', 'deref', 'difference', 'disj', 'dissoc', 'distinct', + 'doall', 'doc', 'dorun', 'doseq', 'dosync', 'dotimes', 'doto', + 'double', 'down', 'drop', 'drop-while', 'edit', 'end?', 'ensure', + 'eval', 'every?', 'false?', 'ffirst', 'file-seq', 'filter', 'find', + 'find-doc', 'find-ns', 'find-var', 'first', 'float', 'flush', 'for', + 'fnseq', 'frest', 'gensym', 'get-proxy-class', 'get', + 'hash-map', 'hash-set', 'identical?', 'identity', 'if-let', 'import', + 'in-ns', 'inc', 'index', 'insert-child', 'insert-left', 'insert-right', + 'inspect-table', 'inspect-tree', 'instance?', 'int', 'interleave', + 'intersection', 'into', 'into-array', 'iterate', 'join', 'key', 'keys', + 'keyword', 'keyword?', 'last', 'lazy-cat', 'lazy-cons', 'left', + 'lefts', 'line-seq', 'list*', 'list', 'load', 'load-file', + 'locking', 'long', 'loop', 'macroexpand', 'macroexpand-1', + 'make-array', 'make-node', 'map', 'map-invert', 'map?', 'mapcat', + 'max', 'max-key', 'memfn', 'merge', 'merge-with', 'meta', 'min', + 'min-key', 'name', 'namespace', 'neg?', 'new', 'newline', 'next', + 'nil?', 'node', 'not', 'not-any?', 'not-every?', 'not=', 'ns-imports', + 'ns-interns', 'ns-map', 'ns-name', 'ns-publics', 'ns-refers', + 'ns-resolve', 'ns-unmap', 'nth', 'nthrest', 'or', 'parse', 'partial', + 'path', 'peek', 'pop', 'pos?', 'pr', 'pr-str', 'print', 'print-str', + 'println', 'println-str', 'prn', 'prn-str', 'project', 'proxy', + 'proxy-mappings', 'quot', 'rand', 'rand-int', 'range', 're-find', + 're-groups', 're-matcher', 're-matches', 're-pattern', 're-seq', + 'read', 'read-line', 'reduce', 'ref', 'ref-set', 'refer', 'rem', + 'remove', 'remove-method', 'remove-ns', 'rename', 'rename-keys', + 'repeat', 'replace', 'replicate', 'resolve', 'rest', 'resultset-seq', + 'reverse', 'rfirst', 'right', 'rights', 'root', 'rrest', 'rseq', + 'second', 'select', 'select-keys', 'send', 'send-off', 'seq', + 'seq-zip', 'seq?', 'set', 'short', 'slurp', 'some', 'sort', + 'sort-by', 'sorted-map', 'sorted-map-by', 'sorted-set', + 'special-symbol?', 'split-at', 'split-with', 'str', 'string?', + 'struct', 'struct-map', 'subs', 'subvec', 'symbol', 'symbol?', + 'sync', 'take', 'take-nth', 'take-while', 'test', 'time', 'to-array', + 'to-array-2d', 'tree-seq', 'true?', 'union', 'up', 'update-proxy', + 'val', 'vals', 'var-get', 'var-set', 'var?', 'vector', 'vector-zip', + 'vector?', 'when', 'when-first', 'when-let', 'when-not', + 'with-local-vars', 'with-meta', 'with-open', 'with-out-str', + 'xml-seq', 'xml-zip', 'zero?', 'zipmap', 'zipper') + + # valid names for identifiers + # well, names can only not consist fully of numbers + # but this should be good enough for now + + # TODO / should divide keywords/symbols into namespace/rest + # but that's hard, so just pretend / is part of the name + valid_name = r'(?!#)[\w!$%*+<=>?/.#-]+' + + tokens = { + 'root': [ + # the comments - always starting with semicolon + # and going to the end of the line + (r';.*$', Comment.Single), + + # whitespaces - usually not relevant + (r'[,\s]+', Text), + + # numbers + (r'-?\d+\.\d+', Number.Float), + (r'-?\d+', Number.Integer), + (r'0x-?[abcdef\d]+', Number.Hex), + + # strings, symbols and characters + (r'"(\\\\|\\"|[^"])*"', String), + (r"'" + valid_name, String.Symbol), + (r"\\(.|[a-z]+)", String.Char), + + # keywords + (r'::?#?' + valid_name, String.Symbol), + + # special operators + (r'~@|[`\'#^~&@]', Operator), + + # highlight the special forms + (words(special_forms, suffix=' '), Keyword), + + # Technically, only the special forms are 'keywords'. The problem + # is that only treating them as keywords means that things like + # 'defn' and 'ns' need to be highlighted as builtins. This is ugly + # and weird for most styles. So, as a compromise we're going to + # highlight them as Keyword.Declarations. + (words(declarations, suffix=' '), Keyword.Declaration), + + # highlight the builtins + (words(builtins, suffix=' '), Name.Builtin), + + # the remaining functions + (r'(?<=\()' + valid_name, Name.Function), + + # find the remaining variables + (valid_name, Name.Variable), + + # Clojure accepts vector notation + (r'(\[|\])', Punctuation), + + # Clojure accepts map notation + (r'(\{|\})', Punctuation), + + # the famous parentheses! + (r'(\(|\))', Punctuation), + ], + } + + +class ClojureScriptLexer(ClojureLexer): + """ + Lexer for `ClojureScript `_ + source code. + + .. versionadded:: 2.0 + """ + name = 'ClojureScript' + aliases = ['clojurescript', 'cljs'] + filenames = ['*.cljs'] + mimetypes = ['text/x-clojurescript', 'application/x-clojurescript'] + + +class TeaLangLexer(RegexLexer): + """ + For `Tea `_ source code. Only used within a + TeaTemplateLexer. + + .. versionadded:: 1.5 + """ + + flags = re.MULTILINE | re.DOTALL + + tokens = { + 'root': [ + # method names + (r'^(\s*(?:[a-zA-Z_][\w\.\[\]]*\s+)+?)' # return arguments + r'([a-zA-Z_]\w*)' # method name + r'(\s*)(\()', # signature start + bygroups(using(this), Name.Function, Text, Operator)), + (r'[^\S\n]+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + (r'@[a-zA-Z_][\w\.]*', Name.Decorator), + (r'(and|break|else|foreach|if|in|not|or|reverse)\b', + Keyword), + (r'(as|call|define)\b', Keyword.Declaration), + (r'(true|false|null)\b', Keyword.Constant), + (r'(template)(\s+)', bygroups(Keyword.Declaration, Text), 'template'), + (r'(import)(\s+)', bygroups(Keyword.Namespace, Text), 'import'), + (r'"(\\\\|\\"|[^"])*"', String), + (r'\'(\\\\|\\\'|[^\'])*\'', String), + (r'(\.)([a-zA-Z_]\w*)', bygroups(Operator, Name.Attribute)), + (r'[a-zA-Z_]\w*:', Name.Label), + (r'[a-zA-Z_\$]\w*', Name), + (r'(isa|[.]{3}|[.]{2}|[=#!<>+-/%&;,.\*\\\(\)\[\]\{\}])', Operator), + (r'[0-9][0-9]*\.[0-9]+([eE][0-9]+)?[fd]?', Number.Float), + (r'0x[0-9a-fA-F]+', Number.Hex), + (r'[0-9]+L?', Number.Integer), + (r'\n', Text) + ], + 'template': [ + (r'[a-zA-Z_]\w*', Name.Class, '#pop') + ], + 'import': [ + (r'[\w.]+\*?', Name.Namespace, '#pop') + ], + } + + +class CeylonLexer(RegexLexer): + """ + For `Ceylon `_ source code. + + .. versionadded:: 1.6 + """ + + name = 'Ceylon' + aliases = ['ceylon'] + filenames = ['*.ceylon'] + mimetypes = ['text/x-ceylon'] + + flags = re.MULTILINE | re.DOTALL + + #: optional Comment or Whitespace + _ws = r'(?:\s|//.*?\n|/[*].*?[*]/)+' + + tokens = { + 'root': [ + # method names + (r'^(\s*(?:[a-zA-Z_][\w.\[\]]*\s+)+?)' # return arguments + r'([a-zA-Z_]\w*)' # method name + r'(\s*)(\()', # signature start + bygroups(using(this), Name.Function, Text, Operator)), + (r'[^\S\n]+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*', Comment.Multiline, 'comment'), + (r'(shared|abstract|formal|default|actual|variable|deprecated|small|' + r'late|literal|doc|by|see|throws|optional|license|tagged|final|native|' + r'annotation|sealed)\b', Name.Decorator), + (r'(break|case|catch|continue|else|finally|for|in|' + r'if|return|switch|this|throw|try|while|is|exists|dynamic|' + r'nonempty|then|outer|assert|let)\b', Keyword), + (r'(abstracts|extends|satisfies|' + r'super|given|of|out|assign)\b', Keyword.Declaration), + (r'(function|value|void|new)\b', + Keyword.Type), + (r'(assembly|module|package)(\s+)', bygroups(Keyword.Namespace, Text)), + (r'(true|false|null)\b', Keyword.Constant), + (r'(class|interface|object|alias)(\s+)', + bygroups(Keyword.Declaration, Text), 'class'), + (r'(import)(\s+)', bygroups(Keyword.Namespace, Text), 'import'), + (r'"(\\\\|\\"|[^"])*"', String), + (r"'\\.'|'[^\\]'|'\\\{#[0-9a-fA-F]{4}\}'", String.Char), + (r'".*``.*``.*"', String.Interpol), + (r'(\.)([a-z_]\w*)', + bygroups(Operator, Name.Attribute)), + (r'[a-zA-Z_]\w*:', Name.Label), + (r'[a-zA-Z_]\w*', Name), + (r'[~^*!%&\[\](){}<>|+=:;,./?-]', Operator), + (r'\d{1,3}(_\d{3})+\.\d{1,3}(_\d{3})+[kMGTPmunpf]?', Number.Float), + (r'\d{1,3}(_\d{3})+\.[0-9]+([eE][+-]?[0-9]+)?[kMGTPmunpf]?', + Number.Float), + (r'[0-9][0-9]*\.\d{1,3}(_\d{3})+[kMGTPmunpf]?', Number.Float), + (r'[0-9][0-9]*\.[0-9]+([eE][+-]?[0-9]+)?[kMGTPmunpf]?', + Number.Float), + (r'#([0-9a-fA-F]{4})(_[0-9a-fA-F]{4})+', Number.Hex), + (r'#[0-9a-fA-F]+', Number.Hex), + (r'\$([01]{4})(_[01]{4})+', Number.Bin), + (r'\$[01]+', Number.Bin), + (r'\d{1,3}(_\d{3})+[kMGTP]?', Number.Integer), + (r'[0-9]+[kMGTP]?', Number.Integer), + (r'\n', Text) + ], + 'class': [ + (r'[A-Za-z_]\w*', Name.Class, '#pop') + ], + 'import': [ + (r'[a-z][\w.]*', + Name.Namespace, '#pop') + ], + 'comment': [ + (r'[^*/]', Comment.Multiline), + (r'/\*', Comment.Multiline, '#push'), + (r'\*/', Comment.Multiline, '#pop'), + (r'[*/]', Comment.Multiline) + ], + } + + +class KotlinLexer(RegexLexer): + """ + For `Kotlin `_ + source code. + + .. versionadded:: 1.5 + """ + + name = 'Kotlin' + aliases = ['kotlin'] + filenames = ['*.kt'] + mimetypes = ['text/x-kotlin'] + + flags = re.MULTILINE | re.DOTALL | re.UNICODE + + kt_name = ('@?[_' + uni.combine('Lu', 'Ll', 'Lt', 'Lm', 'Nl') + ']' + + '[' + uni.combine('Lu', 'Ll', 'Lt', 'Lm', 'Nl', 'Nd', 'Pc', 'Cf', + 'Mn', 'Mc') + ']*') + kt_id = '(' + kt_name + '|`' + kt_name + '`)' + + tokens = { + 'root': [ + (r'^\s*\[.*?\]', Name.Attribute), + (r'[^\S\n]+', Text), + (r'\\\n', Text), # line continuation + (r'//.*?\n', Comment.Single), + (r'/[*].*?[*]/', Comment.Multiline), + (r'\n', Text), + (r'::|!!|\?[:.]', Operator), + (r'[~!%^&*()+=|\[\]:;,.<>/?-]', Punctuation), + (r'[{}]', Punctuation), + (r'@"(""|[^"])*"', String), + (r'"(\\\\|\\"|[^"\n])*["\n]', String), + (r"'\\.'|'[^\\]'", String.Char), + (r"[0-9](\.[0-9]*)?([eE][+-][0-9]+)?[flFL]?|" + r"0[xX][0-9a-fA-F]+[Ll]?", Number), + (r'(class)(\s+)(object)', bygroups(Keyword, Text, Keyword)), + (r'(class|interface|object)(\s+)', bygroups(Keyword, Text), 'class'), + (r'(package|import)(\s+)', bygroups(Keyword, Text), 'package'), + (r'(val|var)(\s+)', bygroups(Keyword, Text), 'property'), + (r'(fun)(\s+)', bygroups(Keyword, Text), 'function'), + (r'(abstract|annotation|as|break|by|catch|class|companion|const|' + r'constructor|continue|crossinline|data|do|dynamic|else|enum|' + r'external|false|final|finally|for|fun|get|if|import|in|infix|' + r'inline|inner|interface|internal|is|lateinit|noinline|null|' + r'object|open|operator|out|override|package|private|protected|' + r'public|reified|return|sealed|set|super|tailrec|this|throw|' + r'true|try|val|var|vararg|when|where|while)\b', Keyword), + (kt_id, Name), + ], + 'package': [ + (r'\S+', Name.Namespace, '#pop') + ], + 'class': [ + (kt_id, Name.Class, '#pop') + ], + 'property': [ + (kt_id, Name.Property, '#pop') + ], + 'function': [ + (kt_id, Name.Function, '#pop') + ], + } + + +class XtendLexer(RegexLexer): + """ + For `Xtend `_ source code. + + .. versionadded:: 1.6 + """ + + name = 'Xtend' + aliases = ['xtend'] + filenames = ['*.xtend'] + mimetypes = ['text/x-xtend'] + + flags = re.MULTILINE | re.DOTALL + + tokens = { + 'root': [ + # method names + (r'^(\s*(?:[a-zA-Z_][\w.\[\]]*\s+)+?)' # return arguments + r'([a-zA-Z_$][\w$]*)' # method name + r'(\s*)(\()', # signature start + bygroups(using(this), Name.Function, Text, Operator)), + (r'[^\S\n]+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + (r'@[a-zA-Z_][\w.]*', Name.Decorator), + (r'(assert|break|case|catch|continue|default|do|else|finally|for|' + r'if|goto|instanceof|new|return|switch|this|throw|try|while|IF|' + r'ELSE|ELSEIF|ENDIF|FOR|ENDFOR|SEPARATOR|BEFORE|AFTER)\b', + Keyword), + (r'(def|abstract|const|enum|extends|final|implements|native|private|' + r'protected|public|static|strictfp|super|synchronized|throws|' + r'transient|volatile)\b', Keyword.Declaration), + (r'(boolean|byte|char|double|float|int|long|short|void)\b', + Keyword.Type), + (r'(package)(\s+)', bygroups(Keyword.Namespace, Text)), + (r'(true|false|null)\b', Keyword.Constant), + (r'(class|interface)(\s+)', bygroups(Keyword.Declaration, Text), + 'class'), + (r'(import)(\s+)', bygroups(Keyword.Namespace, Text), 'import'), + (r"(''')", String, 'template'), + (u'(\u00BB)', String, 'template'), + (r'"(\\\\|\\"|[^"])*"', String), + (r"'(\\\\|\\'|[^'])*'", String), + (r'[a-zA-Z_]\w*:', Name.Label), + (r'[a-zA-Z_$]\w*', Name), + (r'[~^*!%&\[\](){}<>\|+=:;,./?-]', Operator), + (r'[0-9][0-9]*\.[0-9]+([eE][0-9]+)?[fd]?', Number.Float), + (r'0x[0-9a-fA-F]+', Number.Hex), + (r'[0-9]+L?', Number.Integer), + (r'\n', Text) + ], + 'class': [ + (r'[a-zA-Z_]\w*', Name.Class, '#pop') + ], + 'import': [ + (r'[\w.]+\*?', Name.Namespace, '#pop') + ], + 'template': [ + (r"'''", String, '#pop'), + (u'\u00AB', String, '#pop'), + (r'.', String) + ], + } + + +class PigLexer(RegexLexer): + """ + For `Pig Latin `_ source code. + + .. versionadded:: 2.0 + """ + + name = 'Pig' + aliases = ['pig'] + filenames = ['*.pig'] + mimetypes = ['text/x-pig'] + + flags = re.MULTILINE | re.IGNORECASE + + tokens = { + 'root': [ + (r'\s+', Text), + (r'--.*', Comment), + (r'/\*[\w\W]*?\*/', Comment.Multiline), + (r'\\\n', Text), + (r'\\', Text), + (r'\'(?:\\[ntbrf\\\']|\\u[0-9a-f]{4}|[^\'\\\n\r])*\'', String), + include('keywords'), + include('types'), + include('builtins'), + include('punct'), + include('operators'), + (r'[0-9]*\.[0-9]+(e[0-9]+)?[fd]?', Number.Float), + (r'0x[0-9a-f]+', Number.Hex), + (r'[0-9]+L?', Number.Integer), + (r'\n', Text), + (r'([a-z_]\w*)(\s*)(\()', + bygroups(Name.Function, Text, Punctuation)), + (r'[()#:]', Text), + (r'[^(:#\'")\s]+', Text), + (r'\S+\s+', Text) # TODO: make tests pass without \s+ + ], + 'keywords': [ + (r'(assert|and|any|all|arrange|as|asc|bag|by|cache|CASE|cat|cd|cp|' + r'%declare|%default|define|dense|desc|describe|distinct|du|dump|' + r'eval|exex|explain|filter|flatten|foreach|full|generate|group|' + r'help|if|illustrate|import|inner|input|into|is|join|kill|left|' + r'limit|load|ls|map|matches|mkdir|mv|not|null|onschema|or|order|' + r'outer|output|parallel|pig|pwd|quit|register|returns|right|rm|' + r'rmf|rollup|run|sample|set|ship|split|stderr|stdin|stdout|store|' + r'stream|through|union|using|void)\b', Keyword) + ], + 'builtins': [ + (r'(AVG|BinStorage|cogroup|CONCAT|copyFromLocal|copyToLocal|COUNT|' + r'cross|DIFF|MAX|MIN|PigDump|PigStorage|SIZE|SUM|TextLoader|' + r'TOKENIZE)\b', Name.Builtin) + ], + 'types': [ + (r'(bytearray|BIGINTEGER|BIGDECIMAL|chararray|datetime|double|float|' + r'int|long|tuple)\b', Keyword.Type) + ], + 'punct': [ + (r'[;(){}\[\]]', Punctuation), + ], + 'operators': [ + (r'[#=,./%+\-?]', Operator), + (r'(eq|gt|lt|gte|lte|neq|matches)\b', Operator), + (r'(==|<=|<|>=|>|!=)', Operator), + ], + } + + +class GoloLexer(RegexLexer): + """ + For `Golo `_ source code. + + .. versionadded:: 2.0 + """ + + name = 'Golo' + filenames = ['*.golo'] + aliases = ['golo'] + + tokens = { + 'root': [ + (r'[^\S\n]+', Text), + + (r'#.*$', Comment), + + (r'(\^|\.\.\.|:|\?:|->|==|!=|=|\+|\*|%|/|<=|<|>=|>|=|\.)', + Operator), + (r'(?<=[^-])(-)(?=[^-])', Operator), + + (r'(?<=[^`])(is|isnt|and|or|not|oftype|in|orIfNull)\b', Operator.Word), + (r'[]{}|(),[]', Punctuation), + + (r'(module|import)(\s+)', + bygroups(Keyword.Namespace, Text), + 'modname'), + (r'\b([a-zA-Z_][\w$.]*)(::)', bygroups(Name.Namespace, Punctuation)), + (r'\b([a-zA-Z_][\w$]*(?:\.[a-zA-Z_][\w$]*)+)\b', Name.Namespace), + + (r'(let|var)(\s+)', + bygroups(Keyword.Declaration, Text), + 'varname'), + (r'(struct)(\s+)', + bygroups(Keyword.Declaration, Text), + 'structname'), + (r'(function)(\s+)', + bygroups(Keyword.Declaration, Text), + 'funcname'), + + (r'(null|true|false)\b', Keyword.Constant), + (r'(augment|pimp' + r'|if|else|case|match|return' + r'|case|when|then|otherwise' + r'|while|for|foreach' + r'|try|catch|finally|throw' + r'|local' + r'|continue|break)\b', Keyword), + + (r'(map|array|list|set|vector|tuple)(\[)', + bygroups(Name.Builtin, Punctuation)), + (r'(print|println|readln|raise|fun' + r'|asInterfaceInstance)\b', Name.Builtin), + (r'(`?[a-zA-Z_][\w$]*)(\()', + bygroups(Name.Function, Punctuation)), + + (r'-?[\d_]*\.[\d_]*([eE][+-]?\d[\d_]*)?F?', Number.Float), + (r'0[0-7]+j?', Number.Oct), + (r'0[xX][a-fA-F0-9]+', Number.Hex), + (r'-?\d[\d_]*L', Number.Integer.Long), + (r'-?\d[\d_]*', Number.Integer), + + ('`?[a-zA-Z_][\w$]*', Name), + (r'@[a-zA-Z_][\w$.]*', Name.Decorator), + + (r'"""', String, combined('stringescape', 'triplestring')), + (r'"', String, combined('stringescape', 'doublestring')), + (r"'", String, combined('stringescape', 'singlestring')), + (r'----((.|\n)*?)----', String.Doc) + + ], + + 'funcname': [ + (r'`?[a-zA-Z_][\w$]*', Name.Function, '#pop'), + ], + 'modname': [ + (r'[a-zA-Z_][\w$.]*\*?', Name.Namespace, '#pop') + ], + 'structname': [ + (r'`?[\w.]+\*?', Name.Class, '#pop') + ], + 'varname': [ + (r'`?[a-zA-Z_][\w$]*', Name.Variable, '#pop'), + ], + 'string': [ + (r'[^\\\'"\n]+', String), + (r'[\'"\\]', String) + ], + 'stringescape': [ + (r'\\([\\abfnrtv"\']|\n|N\{.*?\}|u[a-fA-F0-9]{4}|' + r'U[a-fA-F0-9]{8}|x[a-fA-F0-9]{2}|[0-7]{1,3})', String.Escape) + ], + 'triplestring': [ + (r'"""', String, '#pop'), + include('string'), + (r'\n', String), + ], + 'doublestring': [ + (r'"', String.Double, '#pop'), + include('string'), + ], + 'singlestring': [ + (r"'", String, '#pop'), + include('string'), + ], + 'operators': [ + (r'[#=,./%+\-?]', Operator), + (r'(eq|gt|lt|gte|lte|neq|matches)\b', Operator), + (r'(==|<=|<|>=|>|!=)', Operator), + ], + } + + +class JasminLexer(RegexLexer): + """ + For `Jasmin `_ assembly code. + + .. versionadded:: 2.0 + """ + + name = 'Jasmin' + aliases = ['jasmin', 'jasminxt'] + filenames = ['*.j'] + + _whitespace = r' \n\t\r' + _ws = r'(?:[%s]+)' % _whitespace + _separator = r'%s:=' % _whitespace + _break = r'(?=[%s]|$)' % _separator + _name = r'[^%s]+' % _separator + _unqualified_name = r'(?:[^%s.;\[/]+)' % _separator + + tokens = { + 'default': [ + (r'\n', Text, '#pop'), + (r"'", String.Single, ('#pop', 'quote')), + (r'"', String.Double, 'string'), + (r'=', Punctuation), + (r':', Punctuation, 'label'), + (_ws, Text), + (r';.*', Comment.Single), + (r'(\$[-+])?0x-?[\da-fA-F]+%s' % _break, Number.Hex), + (r'(\$[-+]|\+)?-?\d+%s' % _break, Number.Integer), + (r'-?(\d+\.\d*|\.\d+)([eE][-+]?\d+)?[fFdD]?' + r'[\x00-\x08\x0b\x0c\x0e-\x1f]*%s' % _break, Number.Float), + (r'\$%s' % _name, Name.Variable), + + # Directives + (r'\.annotation%s' % _break, Keyword.Reserved, 'annotation'), + (r'(\.attribute|\.bytecode|\.debug|\.deprecated|\.enclosing|' + r'\.interface|\.line|\.signature|\.source|\.stack|\.var|abstract|' + r'annotation|bridge|class|default|enum|field|final|fpstrict|' + r'interface|native|private|protected|public|signature|static|' + r'synchronized|synthetic|transient|varargs|volatile)%s' % _break, + Keyword.Reserved), + (r'\.catch%s' % _break, Keyword.Reserved, 'caught-exception'), + (r'(\.class|\.implements|\.inner|\.super|inner|invisible|' + r'invisibleparam|outer|visible|visibleparam)%s' % _break, + Keyword.Reserved, 'class/convert-dots'), + (r'\.field%s' % _break, Keyword.Reserved, + ('descriptor/convert-dots', 'field')), + (r'(\.end|\.limit|use)%s' % _break, Keyword.Reserved, + 'no-verification'), + (r'\.method%s' % _break, Keyword.Reserved, 'method'), + (r'\.set%s' % _break, Keyword.Reserved, 'var'), + (r'\.throws%s' % _break, Keyword.Reserved, 'exception'), + (r'(from|offset|to|using)%s' % _break, Keyword.Reserved, 'label'), + (r'is%s' % _break, Keyword.Reserved, + ('descriptor/convert-dots', 'var')), + (r'(locals|stack)%s' % _break, Keyword.Reserved, 'verification'), + (r'method%s' % _break, Keyword.Reserved, 'enclosing-method'), + + # Instructions + (words(( + 'aaload', 'aastore', 'aconst_null', 'aload', 'aload_0', 'aload_1', 'aload_2', + 'aload_3', 'aload_w', 'areturn', 'arraylength', 'astore', 'astore_0', 'astore_1', + 'astore_2', 'astore_3', 'astore_w', 'athrow', 'baload', 'bastore', 'bipush', + 'breakpoint', 'caload', 'castore', 'd2f', 'd2i', 'd2l', 'dadd', 'daload', 'dastore', + 'dcmpg', 'dcmpl', 'dconst_0', 'dconst_1', 'ddiv', 'dload', 'dload_0', 'dload_1', + 'dload_2', 'dload_3', 'dload_w', 'dmul', 'dneg', 'drem', 'dreturn', 'dstore', 'dstore_0', + 'dstore_1', 'dstore_2', 'dstore_3', 'dstore_w', 'dsub', 'dup', 'dup2', 'dup2_x1', + 'dup2_x2', 'dup_x1', 'dup_x2', 'f2d', 'f2i', 'f2l', 'fadd', 'faload', 'fastore', 'fcmpg', + 'fcmpl', 'fconst_0', 'fconst_1', 'fconst_2', 'fdiv', 'fload', 'fload_0', 'fload_1', + 'fload_2', 'fload_3', 'fload_w', 'fmul', 'fneg', 'frem', 'freturn', 'fstore', 'fstore_0', + 'fstore_1', 'fstore_2', 'fstore_3', 'fstore_w', 'fsub', 'i2b', 'i2c', 'i2d', 'i2f', 'i2l', + 'i2s', 'iadd', 'iaload', 'iand', 'iastore', 'iconst_0', 'iconst_1', 'iconst_2', + 'iconst_3', 'iconst_4', 'iconst_5', 'iconst_m1', 'idiv', 'iinc', 'iinc_w', 'iload', + 'iload_0', 'iload_1', 'iload_2', 'iload_3', 'iload_w', 'imul', 'ineg', 'int2byte', + 'int2char', 'int2short', 'ior', 'irem', 'ireturn', 'ishl', 'ishr', 'istore', 'istore_0', + 'istore_1', 'istore_2', 'istore_3', 'istore_w', 'isub', 'iushr', 'ixor', 'l2d', 'l2f', + 'l2i', 'ladd', 'laload', 'land', 'lastore', 'lcmp', 'lconst_0', 'lconst_1', 'ldc2_w', + 'ldiv', 'lload', 'lload_0', 'lload_1', 'lload_2', 'lload_3', 'lload_w', 'lmul', 'lneg', + 'lookupswitch', 'lor', 'lrem', 'lreturn', 'lshl', 'lshr', 'lstore', 'lstore_0', + 'lstore_1', 'lstore_2', 'lstore_3', 'lstore_w', 'lsub', 'lushr', 'lxor', + 'monitorenter', 'monitorexit', 'nop', 'pop', 'pop2', 'ret', 'ret_w', 'return', 'saload', + 'sastore', 'sipush', 'swap'), suffix=_break), Keyword.Reserved), + (r'(anewarray|checkcast|instanceof|ldc|ldc_w|new)%s' % _break, + Keyword.Reserved, 'class/no-dots'), + (r'invoke(dynamic|interface|nonvirtual|special|' + r'static|virtual)%s' % _break, Keyword.Reserved, + 'invocation'), + (r'(getfield|putfield)%s' % _break, Keyword.Reserved, + ('descriptor/no-dots', 'field')), + (r'(getstatic|putstatic)%s' % _break, Keyword.Reserved, + ('descriptor/no-dots', 'static')), + (words(( + 'goto', 'goto_w', 'if_acmpeq', 'if_acmpne', 'if_icmpeq', + 'if_icmpge', 'if_icmpgt', 'if_icmple', 'if_icmplt', 'if_icmpne', + 'ifeq', 'ifge', 'ifgt', 'ifle', 'iflt', 'ifne', 'ifnonnull', + 'ifnull', 'jsr', 'jsr_w'), suffix=_break), + Keyword.Reserved, 'label'), + (r'(multianewarray|newarray)%s' % _break, Keyword.Reserved, + 'descriptor/convert-dots'), + (r'tableswitch%s' % _break, Keyword.Reserved, 'table') + ], + 'quote': [ + (r"'", String.Single, '#pop'), + (r'\\u[\da-fA-F]{4}', String.Escape), + (r"[^'\\]+", String.Single) + ], + 'string': [ + (r'"', String.Double, '#pop'), + (r'\\([nrtfb"\'\\]|u[\da-fA-F]{4}|[0-3]?[0-7]{1,2})', + String.Escape), + (r'[^"\\]+', String.Double) + ], + 'root': [ + (r'\n+', Text), + (r"'", String.Single, 'quote'), + include('default'), + (r'(%s)([ \t\r]*)(:)' % _name, + bygroups(Name.Label, Text, Punctuation)), + (_name, String.Other) + ], + 'annotation': [ + (r'\n', Text, ('#pop', 'annotation-body')), + (r'default%s' % _break, Keyword.Reserved, + ('#pop', 'annotation-default')), + include('default') + ], + 'annotation-body': [ + (r'\n+', Text), + (r'\.end%s' % _break, Keyword.Reserved, '#pop'), + include('default'), + (_name, String.Other, ('annotation-items', 'descriptor/no-dots')) + ], + 'annotation-default': [ + (r'\n+', Text), + (r'\.end%s' % _break, Keyword.Reserved, '#pop'), + include('default'), + default(('annotation-items', 'descriptor/no-dots')) + ], + 'annotation-items': [ + (r"'", String.Single, 'quote'), + include('default'), + (_name, String.Other) + ], + 'caught-exception': [ + (r'all%s' % _break, Keyword, '#pop'), + include('exception') + ], + 'class/convert-dots': [ + include('default'), + (r'(L)((?:%s[/.])*)(%s)(;)' % (_unqualified_name, _name), + bygroups(Keyword.Type, Name.Namespace, Name.Class, Punctuation), + '#pop'), + (r'((?:%s[/.])*)(%s)' % (_unqualified_name, _name), + bygroups(Name.Namespace, Name.Class), '#pop') + ], + 'class/no-dots': [ + include('default'), + (r'\[+', Punctuation, ('#pop', 'descriptor/no-dots')), + (r'(L)((?:%s/)*)(%s)(;)' % (_unqualified_name, _name), + bygroups(Keyword.Type, Name.Namespace, Name.Class, Punctuation), + '#pop'), + (r'((?:%s/)*)(%s)' % (_unqualified_name, _name), + bygroups(Name.Namespace, Name.Class), '#pop') + ], + 'descriptor/convert-dots': [ + include('default'), + (r'\[+', Punctuation), + (r'(L)((?:%s[/.])*)(%s?)(;)' % (_unqualified_name, _name), + bygroups(Keyword.Type, Name.Namespace, Name.Class, Punctuation), + '#pop'), + (r'[^%s\[)L]+' % _separator, Keyword.Type, '#pop'), + default('#pop') + ], + 'descriptor/no-dots': [ + include('default'), + (r'\[+', Punctuation), + (r'(L)((?:%s/)*)(%s)(;)' % (_unqualified_name, _name), + bygroups(Keyword.Type, Name.Namespace, Name.Class, Punctuation), + '#pop'), + (r'[^%s\[)L]+' % _separator, Keyword.Type, '#pop'), + default('#pop') + ], + 'descriptors/convert-dots': [ + (r'\)', Punctuation, '#pop'), + default('descriptor/convert-dots') + ], + 'enclosing-method': [ + (_ws, Text), + (r'(?=[^%s]*\()' % _separator, Text, ('#pop', 'invocation')), + default(('#pop', 'class/convert-dots')) + ], + 'exception': [ + include('default'), + (r'((?:%s[/.])*)(%s)' % (_unqualified_name, _name), + bygroups(Name.Namespace, Name.Exception), '#pop') + ], + 'field': [ + (r'static%s' % _break, Keyword.Reserved, ('#pop', 'static')), + include('default'), + (r'((?:%s[/.](?=[^%s]*[/.]))*)(%s[/.])?(%s)' % + (_unqualified_name, _separator, _unqualified_name, _name), + bygroups(Name.Namespace, Name.Class, Name.Variable.Instance), + '#pop') + ], + 'invocation': [ + include('default'), + (r'((?:%s[/.](?=[^%s(]*[/.]))*)(%s[/.])?(%s)(\()' % + (_unqualified_name, _separator, _unqualified_name, _name), + bygroups(Name.Namespace, Name.Class, Name.Function, Punctuation), + ('#pop', 'descriptor/convert-dots', 'descriptors/convert-dots', + 'descriptor/convert-dots')) + ], + 'label': [ + include('default'), + (_name, Name.Label, '#pop') + ], + 'method': [ + include('default'), + (r'(%s)(\()' % _name, bygroups(Name.Function, Punctuation), + ('#pop', 'descriptor/convert-dots', 'descriptors/convert-dots', + 'descriptor/convert-dots')) + ], + 'no-verification': [ + (r'(locals|method|stack)%s' % _break, Keyword.Reserved, '#pop'), + include('default') + ], + 'static': [ + include('default'), + (r'((?:%s[/.](?=[^%s]*[/.]))*)(%s[/.])?(%s)' % + (_unqualified_name, _separator, _unqualified_name, _name), + bygroups(Name.Namespace, Name.Class, Name.Variable.Class), '#pop') + ], + 'table': [ + (r'\n+', Text), + (r'default%s' % _break, Keyword.Reserved, '#pop'), + include('default'), + (_name, Name.Label) + ], + 'var': [ + include('default'), + (_name, Name.Variable, '#pop') + ], + 'verification': [ + include('default'), + (r'(Double|Float|Integer|Long|Null|Top|UninitializedThis)%s' % + _break, Keyword, '#pop'), + (r'Object%s' % _break, Keyword, ('#pop', 'class/no-dots')), + (r'Uninitialized%s' % _break, Keyword, ('#pop', 'label')) + ] + } + + def analyse_text(text): + score = 0 + if re.search(r'^\s*\.class\s', text, re.MULTILINE): + score += 0.5 + if re.search(r'^\s*[a-z]+_[a-z]+\b', text, re.MULTILINE): + score += 0.3 + if re.search(r'^\s*\.(attribute|bytecode|debug|deprecated|enclosing|' + r'inner|interface|limit|set|signature|stack)\b', text, + re.MULTILINE): + score += 0.6 + return score diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/lisp.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/lisp.py new file mode 100644 index 0000000000000000000000000000000000000000..e258c347bbfc71d79009bd8d79fcba4141296b50 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/lisp.py @@ -0,0 +1,2621 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.lisp + ~~~~~~~~~~~~~~~~~~~~ + + Lexers for Lispy languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, words, default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Literal, Error + +from pygments.lexers.python import PythonLexer + +__all__ = ['SchemeLexer', 'CommonLispLexer', 'HyLexer', 'RacketLexer', + 'NewLispLexer', 'EmacsLispLexer', 'ShenLexer', 'CPSALexer', + 'XtlangLexer'] + + +class SchemeLexer(RegexLexer): + """ + A Scheme lexer, parsing a stream and outputting the tokens + needed to highlight scheme code. + This lexer could be most probably easily subclassed to parse + other LISP-Dialects like Common Lisp, Emacs Lisp or AutoLisp. + + This parser is checked with pastes from the LISP pastebin + at http://paste.lisp.org/ to cover as much syntax as possible. + + It supports the full Scheme syntax as defined in R5RS. + + .. versionadded:: 0.6 + """ + name = 'Scheme' + aliases = ['scheme', 'scm'] + filenames = ['*.scm', '*.ss'] + mimetypes = ['text/x-scheme', 'application/x-scheme'] + + # list of known keywords and builtins taken form vim 6.4 scheme.vim + # syntax file. + keywords = ( + 'lambda', 'define', 'if', 'else', 'cond', 'and', 'or', 'case', 'let', + 'let*', 'letrec', 'begin', 'do', 'delay', 'set!', '=>', 'quote', + 'quasiquote', 'unquote', 'unquote-splicing', 'define-syntax', + 'let-syntax', 'letrec-syntax', 'syntax-rules' + ) + builtins = ( + '*', '+', '-', '/', '<', '<=', '=', '>', '>=', 'abs', 'acos', 'angle', + 'append', 'apply', 'asin', 'assoc', 'assq', 'assv', 'atan', + 'boolean?', 'caaaar', 'caaadr', 'caaar', 'caadar', 'caaddr', 'caadr', + 'caar', 'cadaar', 'cadadr', 'cadar', 'caddar', 'cadddr', 'caddr', + 'cadr', 'call-with-current-continuation', 'call-with-input-file', + 'call-with-output-file', 'call-with-values', 'call/cc', 'car', + 'cdaaar', 'cdaadr', 'cdaar', 'cdadar', 'cdaddr', 'cdadr', 'cdar', + 'cddaar', 'cddadr', 'cddar', 'cdddar', 'cddddr', 'cdddr', 'cddr', + 'cdr', 'ceiling', 'char->integer', 'char-alphabetic?', 'char-ci<=?', + 'char-ci=?', 'char-ci>?', 'char-downcase', + 'char-lower-case?', 'char-numeric?', 'char-ready?', 'char-upcase', + 'char-upper-case?', 'char-whitespace?', 'char<=?', 'char=?', 'char>?', 'char?', 'close-input-port', 'close-output-port', + 'complex?', 'cons', 'cos', 'current-input-port', 'current-output-port', + 'denominator', 'display', 'dynamic-wind', 'eof-object?', 'eq?', + 'equal?', 'eqv?', 'eval', 'even?', 'exact->inexact', 'exact?', 'exp', + 'expt', 'floor', 'for-each', 'force', 'gcd', 'imag-part', + 'inexact->exact', 'inexact?', 'input-port?', 'integer->char', + 'integer?', 'interaction-environment', 'lcm', 'length', 'list', + 'list->string', 'list->vector', 'list-ref', 'list-tail', 'list?', + 'load', 'log', 'magnitude', 'make-polar', 'make-rectangular', + 'make-string', 'make-vector', 'map', 'max', 'member', 'memq', 'memv', + 'min', 'modulo', 'negative?', 'newline', 'not', 'null-environment', + 'null?', 'number->string', 'number?', 'numerator', 'odd?', + 'open-input-file', 'open-output-file', 'output-port?', 'pair?', + 'peek-char', 'port?', 'positive?', 'procedure?', 'quotient', + 'rational?', 'rationalize', 'read', 'read-char', 'real-part', 'real?', + 'remainder', 'reverse', 'round', 'scheme-report-environment', + 'set-car!', 'set-cdr!', 'sin', 'sqrt', 'string', 'string->list', + 'string->number', 'string->symbol', 'string-append', 'string-ci<=?', + 'string-ci=?', 'string-ci>?', + 'string-copy', 'string-fill!', 'string-length', 'string-ref', + 'string-set!', 'string<=?', 'string=?', + 'string>?', 'string?', 'substring', 'symbol->string', 'symbol?', + 'tan', 'transcript-off', 'transcript-on', 'truncate', 'values', + 'vector', 'vector->list', 'vector-fill!', 'vector-length', + 'vector-ref', 'vector-set!', 'vector?', 'with-input-from-file', + 'with-output-to-file', 'write', 'write-char', 'zero?' + ) + + # valid names for identifiers + # well, names can only not consist fully of numbers + # but this should be good enough for now + valid_name = r'[\w!$%&*+,/:<=>?@^~|-]+' + + tokens = { + 'root': [ + # the comments + # and going to the end of the line + (r';.*$', Comment.Single), + # multi-line comment + (r'#\|', Comment.Multiline, 'multiline-comment'), + # commented form (entire sexpr folliwng) + (r'#;\s*\(', Comment, 'commented-form'), + # signifies that the program text that follows is written with the + # lexical and datum syntax described in r6rs + (r'#!r6rs', Comment), + + # whitespaces - usually not relevant + (r'\s+', Text), + + # numbers + (r'-?\d+\.\d+', Number.Float), + (r'-?\d+', Number.Integer), + # support for uncommon kinds of numbers - + # have to figure out what the characters mean + # (r'(#e|#i|#b|#o|#d|#x)[\d.]+', Number), + + # strings, symbols and characters + (r'"(\\\\|\\"|[^"])*"', String), + (r"'" + valid_name, String.Symbol), + (r"#\\([()/'\"._!§$%& ?=+-]|[a-zA-Z0-9]+)", String.Char), + + # constants + (r'(#t|#f)', Name.Constant), + + # special operators + (r"('|#|`|,@|,|\.)", Operator), + + # highlight the keywords + ('(%s)' % '|'.join(re.escape(entry) + ' ' for entry in keywords), + Keyword), + + # first variable in a quoted string like + # '(this is syntactic sugar) + (r"(?<='\()" + valid_name, Name.Variable), + (r"(?<=#\()" + valid_name, Name.Variable), + + # highlight the builtins + ("(?<=\()(%s)" % '|'.join(re.escape(entry) + ' ' for entry in builtins), + Name.Builtin), + + # the remaining functions + (r'(?<=\()' + valid_name, Name.Function), + # find the remaining variables + (valid_name, Name.Variable), + + # the famous parentheses! + (r'(\(|\))', Punctuation), + (r'(\[|\])', Punctuation), + ], + 'multiline-comment': [ + (r'#\|', Comment.Multiline, '#push'), + (r'\|#', Comment.Multiline, '#pop'), + (r'[^|#]+', Comment.Multiline), + (r'[|#]', Comment.Multiline), + ], + 'commented-form': [ + (r'\(', Comment, '#push'), + (r'\)', Comment, '#pop'), + (r'[^()]+', Comment), + ], + } + + +class CommonLispLexer(RegexLexer): + """ + A Common Lisp lexer. + + .. versionadded:: 0.9 + """ + name = 'Common Lisp' + aliases = ['common-lisp', 'cl', 'lisp'] + filenames = ['*.cl', '*.lisp'] + mimetypes = ['text/x-common-lisp'] + + flags = re.IGNORECASE | re.MULTILINE + + # couple of useful regexes + + # characters that are not macro-characters and can be used to begin a symbol + nonmacro = r'\\.|[\w!$%&*+-/<=>?@\[\]^{}~]' + constituent = nonmacro + '|[#.:]' + terminated = r'(?=[ "()\'\n,;`])' # whitespace or terminating macro characters + + # symbol token, reverse-engineered from hyperspec + # Take a deep breath... + symbol = r'(\|[^|]+\||(?:%s)(?:%s)*)' % (nonmacro, constituent) + + def __init__(self, **options): + from pygments.lexers._cl_builtins import BUILTIN_FUNCTIONS, \ + SPECIAL_FORMS, MACROS, LAMBDA_LIST_KEYWORDS, DECLARATIONS, \ + BUILTIN_TYPES, BUILTIN_CLASSES + self.builtin_function = BUILTIN_FUNCTIONS + self.special_forms = SPECIAL_FORMS + self.macros = MACROS + self.lambda_list_keywords = LAMBDA_LIST_KEYWORDS + self.declarations = DECLARATIONS + self.builtin_types = BUILTIN_TYPES + self.builtin_classes = BUILTIN_CLASSES + RegexLexer.__init__(self, **options) + + def get_tokens_unprocessed(self, text): + stack = ['root'] + for index, token, value in RegexLexer.get_tokens_unprocessed(self, text, stack): + if token is Name.Variable: + if value in self.builtin_function: + yield index, Name.Builtin, value + continue + if value in self.special_forms: + yield index, Keyword, value + continue + if value in self.macros: + yield index, Name.Builtin, value + continue + if value in self.lambda_list_keywords: + yield index, Keyword, value + continue + if value in self.declarations: + yield index, Keyword, value + continue + if value in self.builtin_types: + yield index, Keyword.Type, value + continue + if value in self.builtin_classes: + yield index, Name.Class, value + continue + yield index, token, value + + tokens = { + 'root': [ + default('body'), + ], + 'multiline-comment': [ + (r'#\|', Comment.Multiline, '#push'), # (cf. Hyperspec 2.4.8.19) + (r'\|#', Comment.Multiline, '#pop'), + (r'[^|#]+', Comment.Multiline), + (r'[|#]', Comment.Multiline), + ], + 'commented-form': [ + (r'\(', Comment.Preproc, '#push'), + (r'\)', Comment.Preproc, '#pop'), + (r'[^()]+', Comment.Preproc), + ], + 'body': [ + # whitespace + (r'\s+', Text), + + # single-line comment + (r';.*$', Comment.Single), + + # multi-line comment + (r'#\|', Comment.Multiline, 'multiline-comment'), + + # encoding comment (?) + (r'#\d*Y.*$', Comment.Special), + + # strings and characters + (r'"(\\.|\\\n|[^"\\])*"', String), + # quoting + (r":" + symbol, String.Symbol), + (r"::" + symbol, String.Symbol), + (r":#" + symbol, String.Symbol), + (r"'" + symbol, String.Symbol), + (r"'", Operator), + (r"`", Operator), + + # decimal numbers + (r'[-+]?\d+\.?' + terminated, Number.Integer), + (r'[-+]?\d+/\d+' + terminated, Number), + (r'[-+]?(\d*\.\d+([defls][-+]?\d+)?|\d+(\.\d*)?[defls][-+]?\d+)' + + terminated, Number.Float), + + # sharpsign strings and characters + (r"#\\." + terminated, String.Char), + (r"#\\" + symbol, String.Char), + + # vector + (r'#\(', Operator, 'body'), + + # bitstring + (r'#\d*\*[01]*', Literal.Other), + + # uninterned symbol + (r'#:' + symbol, String.Symbol), + + # read-time and load-time evaluation + (r'#[.,]', Operator), + + # function shorthand + (r'#\'', Name.Function), + + # binary rational + (r'#b[+-]?[01]+(/[01]+)?', Number.Bin), + + # octal rational + (r'#o[+-]?[0-7]+(/[0-7]+)?', Number.Oct), + + # hex rational + (r'#x[+-]?[0-9a-f]+(/[0-9a-f]+)?', Number.Hex), + + # radix rational + (r'#\d+r[+-]?[0-9a-z]+(/[0-9a-z]+)?', Number), + + # complex + (r'(#c)(\()', bygroups(Number, Punctuation), 'body'), + + # array + (r'(#\d+a)(\()', bygroups(Literal.Other, Punctuation), 'body'), + + # structure + (r'(#s)(\()', bygroups(Literal.Other, Punctuation), 'body'), + + # path + (r'#p?"(\\.|[^"])*"', Literal.Other), + + # reference + (r'#\d+=', Operator), + (r'#\d+#', Operator), + + # read-time comment + (r'#+nil' + terminated + '\s*\(', Comment.Preproc, 'commented-form'), + + # read-time conditional + (r'#[+-]', Operator), + + # special operators that should have been parsed already + (r'(,@|,|\.)', Operator), + + # special constants + (r'(t|nil)' + terminated, Name.Constant), + + # functions and variables + (r'\*' + symbol + '\*', Name.Variable.Global), + (symbol, Name.Variable), + + # parentheses + (r'\(', Punctuation, 'body'), + (r'\)', Punctuation, '#pop'), + ], + } + + +class HyLexer(RegexLexer): + """ + Lexer for `Hy `_ source code. + + .. versionadded:: 2.0 + """ + name = 'Hy' + aliases = ['hylang'] + filenames = ['*.hy'] + mimetypes = ['text/x-hy', 'application/x-hy'] + + special_forms = ( + 'cond', 'for', '->', '->>', 'car', + 'cdr', 'first', 'rest', 'let', 'when', 'unless', + 'import', 'do', 'progn', 'get', 'slice', 'assoc', 'with-decorator', + ',', 'list_comp', 'kwapply', '~', 'is', 'in', 'is-not', 'not-in', + 'quasiquote', 'unquote', 'unquote-splice', 'quote', '|', '<<=', '>>=', + 'foreach', 'while', + 'eval-and-compile', 'eval-when-compile' + ) + + declarations = ( + 'def', 'defn', 'defun', 'defmacro', 'defclass', 'lambda', 'fn', 'setv' + ) + + hy_builtins = () + + hy_core = ( + 'cycle', 'dec', 'distinct', 'drop', 'even?', 'filter', 'inc', + 'instance?', 'iterable?', 'iterate', 'iterator?', 'neg?', + 'none?', 'nth', 'numeric?', 'odd?', 'pos?', 'remove', 'repeat', + 'repeatedly', 'take', 'take_nth', 'take_while', 'zero?' + ) + + builtins = hy_builtins + hy_core + + # valid names for identifiers + # well, names can only not consist fully of numbers + # but this should be good enough for now + valid_name = r'(?!#)[\w!$%*+<=>?/.#-]+' + + def _multi_escape(entries): + return words(entries, suffix=' ') + + tokens = { + 'root': [ + # the comments - always starting with semicolon + # and going to the end of the line + (r';.*$', Comment.Single), + + # whitespaces - usually not relevant + (r'[,\s]+', Text), + + # numbers + (r'-?\d+\.\d+', Number.Float), + (r'-?\d+', Number.Integer), + (r'0[0-7]+j?', Number.Oct), + (r'0[xX][a-fA-F0-9]+', Number.Hex), + + # strings, symbols and characters + (r'"(\\\\|\\"|[^"])*"', String), + (r"'" + valid_name, String.Symbol), + (r"\\(.|[a-z]+)", String.Char), + (r'^(\s*)([rRuU]{,2}"""(?:.|\n)*?""")', bygroups(Text, String.Doc)), + (r"^(\s*)([rRuU]{,2}'''(?:.|\n)*?''')", bygroups(Text, String.Doc)), + + # keywords + (r'::?' + valid_name, String.Symbol), + + # special operators + (r'~@|[`\'#^~&@]', Operator), + + include('py-keywords'), + include('py-builtins'), + + # highlight the special forms + (_multi_escape(special_forms), Keyword), + + # Technically, only the special forms are 'keywords'. The problem + # is that only treating them as keywords means that things like + # 'defn' and 'ns' need to be highlighted as builtins. This is ugly + # and weird for most styles. So, as a compromise we're going to + # highlight them as Keyword.Declarations. + (_multi_escape(declarations), Keyword.Declaration), + + # highlight the builtins + (_multi_escape(builtins), Name.Builtin), + + # the remaining functions + (r'(?<=\()' + valid_name, Name.Function), + + # find the remaining variables + (valid_name, Name.Variable), + + # Hy accepts vector notation + (r'(\[|\])', Punctuation), + + # Hy accepts map notation + (r'(\{|\})', Punctuation), + + # the famous parentheses! + (r'(\(|\))', Punctuation), + + ], + 'py-keywords': PythonLexer.tokens['keywords'], + 'py-builtins': PythonLexer.tokens['builtins'], + } + + def analyse_text(text): + if '(import ' in text or '(defn ' in text: + return 0.9 + + +class RacketLexer(RegexLexer): + """ + Lexer for `Racket `_ source code (formerly + known as PLT Scheme). + + .. versionadded:: 1.6 + """ + + name = 'Racket' + aliases = ['racket', 'rkt'] + filenames = ['*.rkt', '*.rktd', '*.rktl'] + mimetypes = ['text/x-racket', 'application/x-racket'] + + # Generated by example.rkt + _keywords = ( + u'#%app', u'#%datum', u'#%declare', u'#%expression', u'#%module-begin', + u'#%plain-app', u'#%plain-lambda', u'#%plain-module-begin', + u'#%printing-module-begin', u'#%provide', u'#%require', + u'#%stratified-body', u'#%top', u'#%top-interaction', + u'#%variable-reference', u'->', u'->*', u'->*m', u'->d', u'->dm', u'->i', + u'->m', u'...', u':do-in', u'==', u'=>', u'_', u'absent', u'abstract', + u'all-defined-out', u'all-from-out', u'and', u'any', u'augment', u'augment*', + u'augment-final', u'augment-final*', u'augride', u'augride*', u'begin', + u'begin-for-syntax', u'begin0', u'case', u'case->', u'case->m', + u'case-lambda', u'class', u'class*', u'class-field-accessor', + u'class-field-mutator', u'class/c', u'class/derived', u'combine-in', + u'combine-out', u'command-line', u'compound-unit', u'compound-unit/infer', + u'cond', u'cons/dc', u'contract', u'contract-out', u'contract-struct', + u'contracted', u'define', u'define-compound-unit', + u'define-compound-unit/infer', u'define-contract-struct', + u'define-custom-hash-types', u'define-custom-set-types', + u'define-for-syntax', u'define-local-member-name', u'define-logger', + u'define-match-expander', u'define-member-name', + u'define-module-boundary-contract', u'define-namespace-anchor', + u'define-opt/c', u'define-sequence-syntax', u'define-serializable-class', + u'define-serializable-class*', u'define-signature', + u'define-signature-form', u'define-struct', u'define-struct/contract', + u'define-struct/derived', u'define-syntax', u'define-syntax-rule', + u'define-syntaxes', u'define-unit', u'define-unit-binding', + u'define-unit-from-context', u'define-unit/contract', + u'define-unit/new-import-export', u'define-unit/s', u'define-values', + u'define-values-for-export', u'define-values-for-syntax', + u'define-values/invoke-unit', u'define-values/invoke-unit/infer', + u'define/augment', u'define/augment-final', u'define/augride', + u'define/contract', u'define/final-prop', u'define/match', + u'define/overment', u'define/override', u'define/override-final', + u'define/private', u'define/public', u'define/public-final', + u'define/pubment', u'define/subexpression-pos-prop', + u'define/subexpression-pos-prop/name', u'delay', u'delay/idle', + u'delay/name', u'delay/strict', u'delay/sync', u'delay/thread', u'do', + u'else', u'except', u'except-in', u'except-out', u'export', u'extends', + u'failure-cont', u'false', u'false/c', u'field', u'field-bound?', u'file', + u'flat-murec-contract', u'flat-rec-contract', u'for', u'for*', u'for*/and', + u'for*/async', u'for*/first', u'for*/fold', u'for*/fold/derived', + u'for*/hash', u'for*/hasheq', u'for*/hasheqv', u'for*/last', u'for*/list', + u'for*/lists', u'for*/mutable-set', u'for*/mutable-seteq', + u'for*/mutable-seteqv', u'for*/or', u'for*/product', u'for*/set', + u'for*/seteq', u'for*/seteqv', u'for*/stream', u'for*/sum', u'for*/vector', + u'for*/weak-set', u'for*/weak-seteq', u'for*/weak-seteqv', u'for-label', + u'for-meta', u'for-syntax', u'for-template', u'for/and', u'for/async', + u'for/first', u'for/fold', u'for/fold/derived', u'for/hash', u'for/hasheq', + u'for/hasheqv', u'for/last', u'for/list', u'for/lists', u'for/mutable-set', + u'for/mutable-seteq', u'for/mutable-seteqv', u'for/or', u'for/product', + u'for/set', u'for/seteq', u'for/seteqv', u'for/stream', u'for/sum', + u'for/vector', u'for/weak-set', u'for/weak-seteq', u'for/weak-seteqv', + u'gen:custom-write', u'gen:dict', u'gen:equal+hash', u'gen:set', + u'gen:stream', u'generic', u'get-field', u'hash/dc', u'if', u'implies', + u'import', u'include', u'include-at/relative-to', + u'include-at/relative-to/reader', u'include/reader', u'inherit', + u'inherit-field', u'inherit/inner', u'inherit/super', u'init', + u'init-depend', u'init-field', u'init-rest', u'inner', u'inspect', + u'instantiate', u'interface', u'interface*', u'invariant-assertion', + u'invoke-unit', u'invoke-unit/infer', u'lambda', u'lazy', u'let', u'let*', + u'let*-values', u'let-syntax', u'let-syntaxes', u'let-values', u'let/cc', + u'let/ec', u'letrec', u'letrec-syntax', u'letrec-syntaxes', + u'letrec-syntaxes+values', u'letrec-values', u'lib', u'link', u'local', + u'local-require', u'log-debug', u'log-error', u'log-fatal', u'log-info', + u'log-warning', u'match', u'match*', u'match*/derived', u'match-define', + u'match-define-values', u'match-lambda', u'match-lambda*', + u'match-lambda**', u'match-let', u'match-let*', u'match-let*-values', + u'match-let-values', u'match-letrec', u'match-letrec-values', + u'match/derived', u'match/values', u'member-name-key', u'mixin', u'module', + u'module*', u'module+', u'nand', u'new', u'nor', u'object-contract', + u'object/c', u'only', u'only-in', u'only-meta-in', u'open', u'opt/c', u'or', + u'overment', u'overment*', u'override', u'override*', u'override-final', + u'override-final*', u'parameterize', u'parameterize*', + u'parameterize-break', u'parametric->/c', u'place', u'place*', + u'place/context', u'planet', u'prefix', u'prefix-in', u'prefix-out', + u'private', u'private*', u'prompt-tag/c', u'protect-out', u'provide', + u'provide-signature-elements', u'provide/contract', u'public', u'public*', + u'public-final', u'public-final*', u'pubment', u'pubment*', u'quasiquote', + u'quasisyntax', u'quasisyntax/loc', u'quote', u'quote-syntax', + u'quote-syntax/prune', u'recontract-out', u'recursive-contract', + u'relative-in', u'rename', u'rename-in', u'rename-inner', u'rename-out', + u'rename-super', u'require', u'send', u'send*', u'send+', u'send-generic', + u'send/apply', u'send/keyword-apply', u'set!', u'set!-values', + u'set-field!', u'shared', u'stream', u'stream*', u'stream-cons', u'struct', + u'struct*', u'struct-copy', u'struct-field-index', u'struct-out', + u'struct/c', u'struct/ctc', u'struct/dc', u'submod', u'super', + u'super-instantiate', u'super-make-object', u'super-new', u'syntax', + u'syntax-case', u'syntax-case*', u'syntax-id-rules', u'syntax-rules', + u'syntax/loc', u'tag', u'this', u'this%', u'thunk', u'thunk*', u'time', + u'unconstrained-domain->', u'unit', u'unit-from-context', u'unit/c', + u'unit/new-import-export', u'unit/s', u'unless', u'unquote', + u'unquote-splicing', u'unsyntax', u'unsyntax-splicing', u'values/drop', + u'when', u'with-continuation-mark', u'with-contract', + u'with-contract-continuation-mark', u'with-handlers', u'with-handlers*', + u'with-method', u'with-syntax', u'λ' + ) + + # Generated by example.rkt + _builtins = ( + u'*', u'*list/c', u'+', u'-', u'/', u'<', u'', u'>/c', u'>=', u'>=/c', u'abort-current-continuation', u'abs', + u'absolute-path?', u'acos', u'add-between', u'add1', u'alarm-evt', + u'always-evt', u'and/c', u'andmap', u'angle', u'any/c', u'append', u'append*', + u'append-map', u'apply', u'argmax', u'argmin', u'arithmetic-shift', + u'arity-at-least', u'arity-at-least-value', u'arity-at-least?', + u'arity-checking-wrapper', u'arity-includes?', u'arity=?', + u'arrow-contract-info', u'arrow-contract-info-accepts-arglist', + u'arrow-contract-info-chaperone-procedure', + u'arrow-contract-info-check-first-order', u'arrow-contract-info?', + u'asin', u'assf', u'assoc', u'assq', u'assv', u'atan', + u'bad-number-of-results', u'banner', u'base->-doms/c', u'base->-rngs/c', + u'base->?', u'between/c', u'bitwise-and', u'bitwise-bit-field', + u'bitwise-bit-set?', u'bitwise-ior', u'bitwise-not', u'bitwise-xor', + u'blame-add-car-context', u'blame-add-cdr-context', u'blame-add-context', + u'blame-add-missing-party', u'blame-add-nth-arg-context', + u'blame-add-range-context', u'blame-add-unknown-context', + u'blame-context', u'blame-contract', u'blame-fmt->-string', + u'blame-missing-party?', u'blame-negative', u'blame-original?', + u'blame-positive', u'blame-replace-negative', u'blame-source', + u'blame-swap', u'blame-swapped?', u'blame-update', u'blame-value', + u'blame?', u'boolean=?', u'boolean?', u'bound-identifier=?', u'box', + u'box-cas!', u'box-immutable', u'box-immutable/c', u'box/c', u'box?', + u'break-enabled', u'break-parameterization?', u'break-thread', + u'build-chaperone-contract-property', u'build-compound-type-name', + u'build-contract-property', u'build-flat-contract-property', + u'build-list', u'build-path', u'build-path/convention-type', + u'build-string', u'build-vector', u'byte-pregexp', u'byte-pregexp?', + u'byte-ready?', u'byte-regexp', u'byte-regexp?', u'byte?', u'bytes', + u'bytes->immutable-bytes', u'bytes->list', u'bytes->path', + u'bytes->path-element', u'bytes->string/latin-1', u'bytes->string/locale', + u'bytes->string/utf-8', u'bytes-append', u'bytes-append*', + u'bytes-close-converter', u'bytes-convert', u'bytes-convert-end', + u'bytes-converter?', u'bytes-copy', u'bytes-copy!', + u'bytes-environment-variable-name?', u'bytes-fill!', u'bytes-join', + u'bytes-length', u'bytes-no-nuls?', u'bytes-open-converter', u'bytes-ref', + u'bytes-set!', u'bytes-utf-8-index', u'bytes-utf-8-length', + u'bytes-utf-8-ref', u'bytes?', u'bytes?', u'caaaar', + u'caaadr', u'caaar', u'caadar', u'caaddr', u'caadr', u'caar', u'cadaar', + u'cadadr', u'cadar', u'caddar', u'cadddr', u'caddr', u'cadr', + u'call-in-nested-thread', u'call-with-atomic-output-file', + u'call-with-break-parameterization', + u'call-with-composable-continuation', u'call-with-continuation-barrier', + u'call-with-continuation-prompt', u'call-with-current-continuation', + u'call-with-default-reading-parameterization', + u'call-with-escape-continuation', u'call-with-exception-handler', + u'call-with-file-lock/timeout', u'call-with-immediate-continuation-mark', + u'call-with-input-bytes', u'call-with-input-file', + u'call-with-input-file*', u'call-with-input-string', + u'call-with-output-bytes', u'call-with-output-file', + u'call-with-output-file*', u'call-with-output-string', + u'call-with-parameterization', u'call-with-semaphore', + u'call-with-semaphore/enable-break', u'call-with-values', u'call/cc', + u'call/ec', u'car', u'cartesian-product', u'cdaaar', u'cdaadr', u'cdaar', + u'cdadar', u'cdaddr', u'cdadr', u'cdar', u'cddaar', u'cddadr', u'cddar', + u'cdddar', u'cddddr', u'cdddr', u'cddr', u'cdr', u'ceiling', u'channel-get', + u'channel-put', u'channel-put-evt', u'channel-put-evt?', + u'channel-try-get', u'channel/c', u'channel?', u'chaperone-box', + u'chaperone-channel', u'chaperone-continuation-mark-key', + u'chaperone-contract-property?', u'chaperone-contract?', u'chaperone-evt', + u'chaperone-hash', u'chaperone-hash-set', u'chaperone-of?', + u'chaperone-procedure', u'chaperone-procedure*', u'chaperone-prompt-tag', + u'chaperone-struct', u'chaperone-struct-type', u'chaperone-vector', + u'chaperone?', u'char->integer', u'char-alphabetic?', u'char-blank?', + u'char-ci<=?', u'char-ci=?', u'char-ci>?', + u'char-downcase', u'char-foldcase', u'char-general-category', + u'char-graphic?', u'char-in', u'char-in/c', u'char-iso-control?', + u'char-lower-case?', u'char-numeric?', u'char-punctuation?', + u'char-ready?', u'char-symbolic?', u'char-title-case?', u'char-titlecase', + u'char-upcase', u'char-upper-case?', u'char-utf-8-length', + u'char-whitespace?', u'char<=?', u'char=?', u'char>?', + u'char?', u'check-duplicate-identifier', u'check-duplicates', + u'checked-procedure-check-and-extract', u'choice-evt', + u'class->interface', u'class-info', u'class-seal', u'class-unseal', + u'class?', u'cleanse-path', u'close-input-port', u'close-output-port', + u'coerce-chaperone-contract', u'coerce-chaperone-contracts', + u'coerce-contract', u'coerce-contract/f', u'coerce-contracts', + u'coerce-flat-contract', u'coerce-flat-contracts', u'collect-garbage', + u'collection-file-path', u'collection-path', u'combinations', u'compile', + u'compile-allow-set!-undefined', u'compile-context-preservation-enabled', + u'compile-enforce-module-constants', u'compile-syntax', + u'compiled-expression-recompile', u'compiled-expression?', + u'compiled-module-expression?', u'complete-path?', u'complex?', u'compose', + u'compose1', u'conjoin', u'conjugate', u'cons', u'cons/c', u'cons?', u'const', + u'continuation-mark-key/c', u'continuation-mark-key?', + u'continuation-mark-set->context', u'continuation-mark-set->list', + u'continuation-mark-set->list*', u'continuation-mark-set-first', + u'continuation-mark-set?', u'continuation-marks', + u'continuation-prompt-available?', u'continuation-prompt-tag?', + u'continuation?', u'contract-continuation-mark-key', + u'contract-custom-write-property-proc', u'contract-exercise', + u'contract-first-order', u'contract-first-order-passes?', + u'contract-late-neg-projection', u'contract-name', u'contract-proc', + u'contract-projection', u'contract-property?', + u'contract-random-generate', u'contract-random-generate-fail', + u'contract-random-generate-fail?', + u'contract-random-generate-get-current-environment', + u'contract-random-generate-stash', u'contract-random-generate/choose', + u'contract-stronger?', u'contract-struct-exercise', + u'contract-struct-generate', u'contract-struct-late-neg-projection', + u'contract-struct-list-contract?', u'contract-val-first-projection', + u'contract?', u'convert-stream', u'copy-directory/files', u'copy-file', + u'copy-port', u'cos', u'cosh', u'count', u'current-blame-format', + u'current-break-parameterization', u'current-code-inspector', + u'current-command-line-arguments', u'current-compile', + u'current-compiled-file-roots', u'current-continuation-marks', + u'current-contract-region', u'current-custodian', u'current-directory', + u'current-directory-for-user', u'current-drive', + u'current-environment-variables', u'current-error-port', u'current-eval', + u'current-evt-pseudo-random-generator', + u'current-force-delete-permissions', u'current-future', + u'current-gc-milliseconds', u'current-get-interaction-input-port', + u'current-inexact-milliseconds', u'current-input-port', + u'current-inspector', u'current-library-collection-links', + u'current-library-collection-paths', u'current-load', + u'current-load-extension', u'current-load-relative-directory', + u'current-load/use-compiled', u'current-locale', u'current-logger', + u'current-memory-use', u'current-milliseconds', + u'current-module-declare-name', u'current-module-declare-source', + u'current-module-name-resolver', u'current-module-path-for-load', + u'current-namespace', u'current-output-port', u'current-parameterization', + u'current-plumber', u'current-preserved-thread-cell-values', + u'current-print', u'current-process-milliseconds', u'current-prompt-read', + u'current-pseudo-random-generator', u'current-read-interaction', + u'current-reader-guard', u'current-readtable', u'current-seconds', + u'current-security-guard', u'current-subprocess-custodian-mode', + u'current-thread', u'current-thread-group', + u'current-thread-initial-stack-size', + u'current-write-relative-directory', u'curry', u'curryr', + u'custodian-box-value', u'custodian-box?', u'custodian-limit-memory', + u'custodian-managed-list', u'custodian-memory-accounting-available?', + u'custodian-require-memory', u'custodian-shutdown-all', u'custodian?', + u'custom-print-quotable-accessor', u'custom-print-quotable?', + u'custom-write-accessor', u'custom-write-property-proc', u'custom-write?', + u'date', u'date*', u'date*-nanosecond', u'date*-time-zone-name', u'date*?', + u'date-day', u'date-dst?', u'date-hour', u'date-minute', u'date-month', + u'date-second', u'date-time-zone-offset', u'date-week-day', u'date-year', + u'date-year-day', u'date?', u'datum->syntax', u'datum-intern-literal', + u'default-continuation-prompt-tag', u'degrees->radians', + u'delete-directory', u'delete-directory/files', u'delete-file', + u'denominator', u'dict->list', u'dict-can-functional-set?', + u'dict-can-remove-keys?', u'dict-clear', u'dict-clear!', u'dict-copy', + u'dict-count', u'dict-empty?', u'dict-for-each', u'dict-has-key?', + u'dict-implements/c', u'dict-implements?', u'dict-iter-contract', + u'dict-iterate-first', u'dict-iterate-key', u'dict-iterate-next', + u'dict-iterate-value', u'dict-key-contract', u'dict-keys', u'dict-map', + u'dict-mutable?', u'dict-ref', u'dict-ref!', u'dict-remove', + u'dict-remove!', u'dict-set', u'dict-set!', u'dict-set*', u'dict-set*!', + u'dict-update', u'dict-update!', u'dict-value-contract', u'dict-values', + u'dict?', u'directory-exists?', u'directory-list', u'disjoin', u'display', + u'display-lines', u'display-lines-to-file', u'display-to-file', + u'displayln', u'double-flonum?', u'drop', u'drop-common-prefix', + u'drop-right', u'dropf', u'dropf-right', u'dump-memory-stats', + u'dup-input-port', u'dup-output-port', u'dynamic->*', u'dynamic-get-field', + u'dynamic-object/c', u'dynamic-place', u'dynamic-place*', + u'dynamic-require', u'dynamic-require-for-syntax', u'dynamic-send', + u'dynamic-set-field!', u'dynamic-wind', u'eighth', u'empty', + u'empty-sequence', u'empty-stream', u'empty?', + u'environment-variables-copy', u'environment-variables-names', + u'environment-variables-ref', u'environment-variables-set!', + u'environment-variables?', u'eof', u'eof-evt', u'eof-object?', + u'ephemeron-value', u'ephemeron?', u'eprintf', u'eq-contract-val', + u'eq-contract?', u'eq-hash-code', u'eq?', u'equal-contract-val', + u'equal-contract?', u'equal-hash-code', u'equal-secondary-hash-code', + u'equal<%>', u'equal?', u'equal?/recur', u'eqv-hash-code', u'eqv?', u'error', + u'error-display-handler', u'error-escape-handler', + u'error-print-context-length', u'error-print-source-location', + u'error-print-width', u'error-value->string-handler', u'eval', + u'eval-jit-enabled', u'eval-syntax', u'even?', u'evt/c', u'evt?', + u'exact->inexact', u'exact-ceiling', u'exact-floor', u'exact-integer?', + u'exact-nonnegative-integer?', u'exact-positive-integer?', u'exact-round', + u'exact-truncate', u'exact?', u'executable-yield-handler', u'exit', + u'exit-handler', u'exn', u'exn-continuation-marks', u'exn-message', + u'exn:break', u'exn:break-continuation', u'exn:break:hang-up', + u'exn:break:hang-up?', u'exn:break:terminate', u'exn:break:terminate?', + u'exn:break?', u'exn:fail', u'exn:fail:contract', + u'exn:fail:contract:arity', u'exn:fail:contract:arity?', + u'exn:fail:contract:blame', u'exn:fail:contract:blame-object', + u'exn:fail:contract:blame?', u'exn:fail:contract:continuation', + u'exn:fail:contract:continuation?', u'exn:fail:contract:divide-by-zero', + u'exn:fail:contract:divide-by-zero?', + u'exn:fail:contract:non-fixnum-result', + u'exn:fail:contract:non-fixnum-result?', u'exn:fail:contract:variable', + u'exn:fail:contract:variable-id', u'exn:fail:contract:variable?', + u'exn:fail:contract?', u'exn:fail:filesystem', + u'exn:fail:filesystem:errno', u'exn:fail:filesystem:errno-errno', + u'exn:fail:filesystem:errno?', u'exn:fail:filesystem:exists', + u'exn:fail:filesystem:exists?', u'exn:fail:filesystem:missing-module', + u'exn:fail:filesystem:missing-module-path', + u'exn:fail:filesystem:missing-module?', u'exn:fail:filesystem:version', + u'exn:fail:filesystem:version?', u'exn:fail:filesystem?', + u'exn:fail:network', u'exn:fail:network:errno', + u'exn:fail:network:errno-errno', u'exn:fail:network:errno?', + u'exn:fail:network?', u'exn:fail:object', u'exn:fail:object?', + u'exn:fail:out-of-memory', u'exn:fail:out-of-memory?', u'exn:fail:read', + u'exn:fail:read-srclocs', u'exn:fail:read:eof', u'exn:fail:read:eof?', + u'exn:fail:read:non-char', u'exn:fail:read:non-char?', u'exn:fail:read?', + u'exn:fail:syntax', u'exn:fail:syntax-exprs', + u'exn:fail:syntax:missing-module', + u'exn:fail:syntax:missing-module-path', + u'exn:fail:syntax:missing-module?', u'exn:fail:syntax:unbound', + u'exn:fail:syntax:unbound?', u'exn:fail:syntax?', u'exn:fail:unsupported', + u'exn:fail:unsupported?', u'exn:fail:user', u'exn:fail:user?', + u'exn:fail?', u'exn:misc:match?', u'exn:missing-module-accessor', + u'exn:missing-module?', u'exn:srclocs-accessor', u'exn:srclocs?', u'exn?', + u'exp', u'expand', u'expand-once', u'expand-syntax', u'expand-syntax-once', + u'expand-syntax-to-top-form', u'expand-to-top-form', u'expand-user-path', + u'explode-path', u'expt', u'externalizable<%>', u'failure-result/c', + u'false?', u'field-names', u'fifth', u'file->bytes', u'file->bytes-lines', + u'file->lines', u'file->list', u'file->string', u'file->value', + u'file-exists?', u'file-name-from-path', u'file-or-directory-identity', + u'file-or-directory-modify-seconds', u'file-or-directory-permissions', + u'file-position', u'file-position*', u'file-size', + u'file-stream-buffer-mode', u'file-stream-port?', u'file-truncate', + u'filename-extension', u'filesystem-change-evt', + u'filesystem-change-evt-cancel', u'filesystem-change-evt?', + u'filesystem-root-list', u'filter', u'filter-map', u'filter-not', + u'filter-read-input-port', u'find-executable-path', u'find-files', + u'find-library-collection-links', u'find-library-collection-paths', + u'find-relative-path', u'find-system-path', u'findf', u'first', + u'first-or/c', u'fixnum?', u'flat-contract', u'flat-contract-predicate', + u'flat-contract-property?', u'flat-contract?', u'flat-named-contract', + u'flatten', u'floating-point-bytes->real', u'flonum?', u'floor', + u'flush-output', u'fold-files', u'foldl', u'foldr', u'for-each', u'force', + u'format', u'fourth', u'fprintf', u'free-identifier=?', + u'free-label-identifier=?', u'free-template-identifier=?', + u'free-transformer-identifier=?', u'fsemaphore-count', u'fsemaphore-post', + u'fsemaphore-try-wait?', u'fsemaphore-wait', u'fsemaphore?', u'future', + u'future?', u'futures-enabled?', u'gcd', u'generate-member-key', + u'generate-temporaries', u'generic-set?', u'generic?', u'gensym', + u'get-output-bytes', u'get-output-string', u'get-preference', + u'get/build-late-neg-projection', u'get/build-val-first-projection', + u'getenv', u'global-port-print-handler', u'group-by', u'group-execute-bit', + u'group-read-bit', u'group-write-bit', u'guard-evt', u'handle-evt', + u'handle-evt?', u'has-blame?', u'has-contract?', u'hash', u'hash->list', + u'hash-clear', u'hash-clear!', u'hash-copy', u'hash-copy-clear', + u'hash-count', u'hash-empty?', u'hash-eq?', u'hash-equal?', u'hash-eqv?', + u'hash-for-each', u'hash-has-key?', u'hash-iterate-first', + u'hash-iterate-key', u'hash-iterate-key+value', u'hash-iterate-next', + u'hash-iterate-pair', u'hash-iterate-value', u'hash-keys', u'hash-map', + u'hash-placeholder?', u'hash-ref', u'hash-ref!', u'hash-remove', + u'hash-remove!', u'hash-set', u'hash-set!', u'hash-set*', u'hash-set*!', + u'hash-update', u'hash-update!', u'hash-values', u'hash-weak?', u'hash/c', + u'hash?', u'hasheq', u'hasheqv', u'identifier-binding', + u'identifier-binding-symbol', u'identifier-label-binding', + u'identifier-prune-lexical-context', + u'identifier-prune-to-source-module', + u'identifier-remove-from-definition-context', + u'identifier-template-binding', u'identifier-transformer-binding', + u'identifier?', u'identity', u'if/c', u'imag-part', u'immutable?', + u'impersonate-box', u'impersonate-channel', + u'impersonate-continuation-mark-key', u'impersonate-hash', + u'impersonate-hash-set', u'impersonate-procedure', + u'impersonate-procedure*', u'impersonate-prompt-tag', + u'impersonate-struct', u'impersonate-vector', u'impersonator-contract?', + u'impersonator-ephemeron', u'impersonator-of?', + u'impersonator-prop:application-mark', u'impersonator-prop:blame', + u'impersonator-prop:contracted', + u'impersonator-property-accessor-procedure?', u'impersonator-property?', + u'impersonator?', u'implementation?', u'implementation?/c', u'in-bytes', + u'in-bytes-lines', u'in-combinations', u'in-cycle', u'in-dict', + u'in-dict-keys', u'in-dict-pairs', u'in-dict-values', u'in-directory', + u'in-hash', u'in-hash-keys', u'in-hash-pairs', u'in-hash-values', + u'in-immutable-hash', u'in-immutable-hash-keys', + u'in-immutable-hash-pairs', u'in-immutable-hash-values', + u'in-immutable-set', u'in-indexed', u'in-input-port-bytes', + u'in-input-port-chars', u'in-lines', u'in-list', u'in-mlist', + u'in-mutable-hash', u'in-mutable-hash-keys', u'in-mutable-hash-pairs', + u'in-mutable-hash-values', u'in-mutable-set', u'in-naturals', + u'in-parallel', u'in-permutations', u'in-port', u'in-producer', u'in-range', + u'in-sequences', u'in-set', u'in-slice', u'in-stream', u'in-string', + u'in-syntax', u'in-value', u'in-values*-sequence', u'in-values-sequence', + u'in-vector', u'in-weak-hash', u'in-weak-hash-keys', u'in-weak-hash-pairs', + u'in-weak-hash-values', u'in-weak-set', u'inexact->exact', + u'inexact-real?', u'inexact?', u'infinite?', u'input-port-append', + u'input-port?', u'inspector?', u'instanceof/c', u'integer->char', + u'integer->integer-bytes', u'integer-bytes->integer', u'integer-in', + u'integer-length', u'integer-sqrt', u'integer-sqrt/remainder', u'integer?', + u'interface->method-names', u'interface-extension?', u'interface?', + u'internal-definition-context-binding-identifiers', + u'internal-definition-context-introduce', + u'internal-definition-context-seal', u'internal-definition-context?', + u'is-a?', u'is-a?/c', u'keyword->string', u'keyword-apply', u'keywordbytes', u'list->mutable-set', + u'list->mutable-seteq', u'list->mutable-seteqv', u'list->set', + u'list->seteq', u'list->seteqv', u'list->string', u'list->vector', + u'list->weak-set', u'list->weak-seteq', u'list->weak-seteqv', + u'list-contract?', u'list-prefix?', u'list-ref', u'list-set', u'list-tail', + u'list-update', u'list/c', u'list?', u'listen-port-number?', u'listof', + u'load', u'load-extension', u'load-on-demand-enabled', u'load-relative', + u'load-relative-extension', u'load/cd', u'load/use-compiled', + u'local-expand', u'local-expand/capture-lifts', + u'local-transformer-expand', u'local-transformer-expand/capture-lifts', + u'locale-string-encoding', u'log', u'log-all-levels', u'log-level-evt', + u'log-level?', u'log-max-level', u'log-message', u'log-receiver?', + u'logger-name', u'logger?', u'magnitude', u'make-arity-at-least', + u'make-base-empty-namespace', u'make-base-namespace', u'make-bytes', + u'make-channel', u'make-chaperone-contract', + u'make-continuation-mark-key', u'make-continuation-prompt-tag', + u'make-contract', u'make-custodian', u'make-custodian-box', + u'make-custom-hash', u'make-custom-hash-types', u'make-custom-set', + u'make-custom-set-types', u'make-date', u'make-date*', + u'make-derived-parameter', u'make-directory', u'make-directory*', + u'make-do-sequence', u'make-empty-namespace', + u'make-environment-variables', u'make-ephemeron', u'make-exn', + u'make-exn:break', u'make-exn:break:hang-up', u'make-exn:break:terminate', + u'make-exn:fail', u'make-exn:fail:contract', + u'make-exn:fail:contract:arity', u'make-exn:fail:contract:blame', + u'make-exn:fail:contract:continuation', + u'make-exn:fail:contract:divide-by-zero', + u'make-exn:fail:contract:non-fixnum-result', + u'make-exn:fail:contract:variable', u'make-exn:fail:filesystem', + u'make-exn:fail:filesystem:errno', u'make-exn:fail:filesystem:exists', + u'make-exn:fail:filesystem:missing-module', + u'make-exn:fail:filesystem:version', u'make-exn:fail:network', + u'make-exn:fail:network:errno', u'make-exn:fail:object', + u'make-exn:fail:out-of-memory', u'make-exn:fail:read', + u'make-exn:fail:read:eof', u'make-exn:fail:read:non-char', + u'make-exn:fail:syntax', u'make-exn:fail:syntax:missing-module', + u'make-exn:fail:syntax:unbound', u'make-exn:fail:unsupported', + u'make-exn:fail:user', u'make-file-or-directory-link', + u'make-flat-contract', u'make-fsemaphore', u'make-generic', + u'make-handle-get-preference-locked', u'make-hash', + u'make-hash-placeholder', u'make-hasheq', u'make-hasheq-placeholder', + u'make-hasheqv', u'make-hasheqv-placeholder', + u'make-immutable-custom-hash', u'make-immutable-hash', + u'make-immutable-hasheq', u'make-immutable-hasheqv', + u'make-impersonator-property', u'make-input-port', + u'make-input-port/read-to-peek', u'make-inspector', + u'make-keyword-procedure', u'make-known-char-range-list', + u'make-limited-input-port', u'make-list', u'make-lock-file-name', + u'make-log-receiver', u'make-logger', u'make-mixin-contract', + u'make-mutable-custom-set', u'make-none/c', u'make-object', + u'make-output-port', u'make-parameter', u'make-parent-directory*', + u'make-phantom-bytes', u'make-pipe', u'make-pipe-with-specials', + u'make-placeholder', u'make-plumber', u'make-polar', u'make-prefab-struct', + u'make-primitive-class', u'make-proj-contract', + u'make-pseudo-random-generator', u'make-reader-graph', u'make-readtable', + u'make-rectangular', u'make-rename-transformer', + u'make-resolved-module-path', u'make-security-guard', u'make-semaphore', + u'make-set!-transformer', u'make-shared-bytes', u'make-sibling-inspector', + u'make-special-comment', u'make-srcloc', u'make-string', + u'make-struct-field-accessor', u'make-struct-field-mutator', + u'make-struct-type', u'make-struct-type-property', + u'make-syntax-delta-introducer', u'make-syntax-introducer', + u'make-temporary-file', u'make-tentative-pretty-print-output-port', + u'make-thread-cell', u'make-thread-group', u'make-vector', + u'make-weak-box', u'make-weak-custom-hash', u'make-weak-custom-set', + u'make-weak-hash', u'make-weak-hasheq', u'make-weak-hasheqv', + u'make-will-executor', u'map', u'match-equality-test', + u'matches-arity-exactly?', u'max', u'mcar', u'mcdr', u'mcons', u'member', + u'member-name-key-hash-code', u'member-name-key=?', u'member-name-key?', + u'memf', u'memq', u'memv', u'merge-input', u'method-in-interface?', u'min', + u'mixin-contract', u'module->exports', u'module->imports', + u'module->language-info', u'module->namespace', + u'module-compiled-cross-phase-persistent?', u'module-compiled-exports', + u'module-compiled-imports', u'module-compiled-language-info', + u'module-compiled-name', u'module-compiled-submodules', + u'module-declared?', u'module-path-index-join', + u'module-path-index-resolve', u'module-path-index-split', + u'module-path-index-submodule', u'module-path-index?', u'module-path?', + u'module-predefined?', u'module-provide-protected?', u'modulo', u'mpair?', + u'mutable-set', u'mutable-seteq', u'mutable-seteqv', u'n->th', + u'nack-guard-evt', u'namespace-anchor->empty-namespace', + u'namespace-anchor->namespace', u'namespace-anchor?', + u'namespace-attach-module', u'namespace-attach-module-declaration', + u'namespace-base-phase', u'namespace-mapped-symbols', + u'namespace-module-identifier', u'namespace-module-registry', + u'namespace-require', u'namespace-require/constant', + u'namespace-require/copy', u'namespace-require/expansion-time', + u'namespace-set-variable-value!', u'namespace-symbol->identifier', + u'namespace-syntax-introduce', u'namespace-undefine-variable!', + u'namespace-unprotect-module', u'namespace-variable-value', u'namespace?', + u'nan?', u'natural-number/c', u'negate', u'negative?', u'never-evt', + u'new-∀/c', u'new-∃/c', u'newline', u'ninth', u'non-empty-listof', + u'non-empty-string?', u'none/c', u'normal-case-path', u'normalize-arity', + u'normalize-path', u'normalized-arity?', u'not', u'not/c', u'null', u'null?', + u'number->string', u'number?', u'numerator', u'object%', u'object->vector', + u'object-info', u'object-interface', u'object-method-arity-includes?', + u'object-name', u'object-or-false=?', u'object=?', u'object?', u'odd?', + u'one-of/c', u'open-input-bytes', u'open-input-file', + u'open-input-output-file', u'open-input-string', u'open-output-bytes', + u'open-output-file', u'open-output-nowhere', u'open-output-string', + u'or/c', u'order-of-magnitude', u'ormap', u'other-execute-bit', + u'other-read-bit', u'other-write-bit', u'output-port?', u'pair?', + u'parameter-procedure=?', u'parameter/c', u'parameter?', + u'parameterization?', u'parse-command-line', u'partition', u'path->bytes', + u'path->complete-path', u'path->directory-path', u'path->string', + u'path-add-suffix', u'path-convention-type', u'path-element->bytes', + u'path-element->string', u'path-element?', u'path-for-some-system?', + u'path-list-string->path-list', u'path-only', u'path-replace-suffix', + u'path-string?', u'pathbytes', u'port->bytes-lines', u'port->lines', + u'port->list', u'port->string', u'port-closed-evt', u'port-closed?', + u'port-commit-peeked', u'port-count-lines!', u'port-count-lines-enabled', + u'port-counts-lines?', u'port-display-handler', u'port-file-identity', + u'port-file-unlock', u'port-next-location', u'port-number?', + u'port-print-handler', u'port-progress-evt', + u'port-provides-progress-evts?', u'port-read-handler', + u'port-try-file-lock?', u'port-write-handler', u'port-writes-atomic?', + u'port-writes-special?', u'port?', u'positive?', u'predicate/c', + u'prefab-key->struct-type', u'prefab-key?', u'prefab-struct-key', + u'preferences-lock-file-mode', u'pregexp', u'pregexp?', u'pretty-display', + u'pretty-format', u'pretty-print', u'pretty-print-.-symbol-without-bars', + u'pretty-print-abbreviate-read-macros', u'pretty-print-columns', + u'pretty-print-current-style-table', u'pretty-print-depth', + u'pretty-print-exact-as-decimal', u'pretty-print-extend-style-table', + u'pretty-print-handler', u'pretty-print-newline', + u'pretty-print-post-print-hook', u'pretty-print-pre-print-hook', + u'pretty-print-print-hook', u'pretty-print-print-line', + u'pretty-print-remap-stylable', u'pretty-print-show-inexactness', + u'pretty-print-size-hook', u'pretty-print-style-table?', + u'pretty-printing', u'pretty-write', u'primitive-closure?', + u'primitive-result-arity', u'primitive?', u'print', u'print-as-expression', + u'print-boolean-long-form', u'print-box', u'print-graph', + u'print-hash-table', u'print-mpair-curly-braces', + u'print-pair-curly-braces', u'print-reader-abbreviations', + u'print-struct', u'print-syntax-width', u'print-unreadable', + u'print-vector-length', u'printable/c', u'printable<%>', u'printf', + u'println', u'procedure->method', u'procedure-arity', + u'procedure-arity-includes/c', u'procedure-arity-includes?', + u'procedure-arity?', u'procedure-closure-contents-eq?', + u'procedure-extract-target', u'procedure-keywords', + u'procedure-reduce-arity', u'procedure-reduce-keyword-arity', + u'procedure-rename', u'procedure-result-arity', u'procedure-specialize', + u'procedure-struct-type?', u'procedure?', u'process', u'process*', + u'process*/ports', u'process/ports', u'processor-count', u'progress-evt?', + u'promise-forced?', u'promise-running?', u'promise/c', u'promise/name?', + u'promise?', u'prop:arity-string', u'prop:arrow-contract', + u'prop:arrow-contract-get-info', u'prop:arrow-contract?', u'prop:blame', + u'prop:chaperone-contract', u'prop:checked-procedure', u'prop:contract', + u'prop:contracted', u'prop:custom-print-quotable', u'prop:custom-write', + u'prop:dict', u'prop:dict/contract', u'prop:equal+hash', u'prop:evt', + u'prop:exn:missing-module', u'prop:exn:srclocs', + u'prop:expansion-contexts', u'prop:flat-contract', + u'prop:impersonator-of', u'prop:input-port', + u'prop:liberal-define-context', u'prop:object-name', + u'prop:opt-chaperone-contract', u'prop:opt-chaperone-contract-get-test', + u'prop:opt-chaperone-contract?', u'prop:orc-contract', + u'prop:orc-contract-get-subcontracts', u'prop:orc-contract?', + u'prop:output-port', u'prop:place-location', u'prop:procedure', + u'prop:recursive-contract', u'prop:recursive-contract-unroll', + u'prop:recursive-contract?', u'prop:rename-transformer', u'prop:sequence', + u'prop:set!-transformer', u'prop:stream', u'proper-subset?', + u'pseudo-random-generator->vector', u'pseudo-random-generator-vector?', + u'pseudo-random-generator?', u'put-preferences', u'putenv', u'quotient', + u'quotient/remainder', u'radians->degrees', u'raise', + u'raise-argument-error', u'raise-arguments-error', u'raise-arity-error', + u'raise-blame-error', u'raise-contract-error', u'raise-mismatch-error', + u'raise-not-cons-blame-error', u'raise-range-error', + u'raise-result-error', u'raise-syntax-error', u'raise-type-error', + u'raise-user-error', u'random', u'random-seed', u'range', u'rational?', + u'rationalize', u'read', u'read-accept-bar-quote', u'read-accept-box', + u'read-accept-compiled', u'read-accept-dot', u'read-accept-graph', + u'read-accept-infix-dot', u'read-accept-lang', u'read-accept-quasiquote', + u'read-accept-reader', u'read-byte', u'read-byte-or-special', + u'read-bytes', u'read-bytes!', u'read-bytes!-evt', u'read-bytes-avail!', + u'read-bytes-avail!*', u'read-bytes-avail!-evt', + u'read-bytes-avail!/enable-break', u'read-bytes-evt', u'read-bytes-line', + u'read-bytes-line-evt', u'read-case-sensitive', u'read-cdot', u'read-char', + u'read-char-or-special', u'read-curly-brace-as-paren', + u'read-curly-brace-with-tag', u'read-decimal-as-inexact', + u'read-eval-print-loop', u'read-language', u'read-line', u'read-line-evt', + u'read-on-demand-source', u'read-square-bracket-as-paren', + u'read-square-bracket-with-tag', u'read-string', u'read-string!', + u'read-string!-evt', u'read-string-evt', u'read-syntax', + u'read-syntax/recursive', u'read/recursive', u'readtable-mapping', + u'readtable?', u'real->decimal-string', u'real->double-flonum', + u'real->floating-point-bytes', u'real->single-flonum', u'real-in', + u'real-part', u'real?', u'reencode-input-port', u'reencode-output-port', + u'regexp', u'regexp-match', u'regexp-match*', u'regexp-match-evt', + u'regexp-match-exact?', u'regexp-match-peek', + u'regexp-match-peek-immediate', u'regexp-match-peek-positions', + u'regexp-match-peek-positions*', + u'regexp-match-peek-positions-immediate', + u'regexp-match-peek-positions-immediate/end', + u'regexp-match-peek-positions/end', u'regexp-match-positions', + u'regexp-match-positions*', u'regexp-match-positions/end', + u'regexp-match/end', u'regexp-match?', u'regexp-max-lookbehind', + u'regexp-quote', u'regexp-replace', u'regexp-replace*', + u'regexp-replace-quote', u'regexp-replaces', u'regexp-split', + u'regexp-try-match', u'regexp?', u'relative-path?', u'relocate-input-port', + u'relocate-output-port', u'remainder', u'remf', u'remf*', u'remove', + u'remove*', u'remove-duplicates', u'remq', u'remq*', u'remv', u'remv*', + u'rename-contract', u'rename-file-or-directory', + u'rename-transformer-target', u'rename-transformer?', u'replace-evt', + u'reroot-path', u'resolve-path', u'resolved-module-path-name', + u'resolved-module-path?', u'rest', u'reverse', u'round', u'second', + u'seconds->date', u'security-guard?', u'semaphore-peek-evt', + u'semaphore-peek-evt?', u'semaphore-post', u'semaphore-try-wait?', + u'semaphore-wait', u'semaphore-wait/enable-break', u'semaphore?', + u'sequence->list', u'sequence->stream', u'sequence-add-between', + u'sequence-andmap', u'sequence-append', u'sequence-count', + u'sequence-filter', u'sequence-fold', u'sequence-for-each', + u'sequence-generate', u'sequence-generate*', u'sequence-length', + u'sequence-map', u'sequence-ormap', u'sequence-ref', u'sequence-tail', + u'sequence/c', u'sequence?', u'set', u'set!-transformer-procedure', + u'set!-transformer?', u'set->list', u'set->stream', u'set-add', u'set-add!', + u'set-box!', u'set-clear', u'set-clear!', u'set-copy', u'set-copy-clear', + u'set-count', u'set-empty?', u'set-eq?', u'set-equal?', u'set-eqv?', + u'set-first', u'set-for-each', u'set-implements/c', u'set-implements?', + u'set-intersect', u'set-intersect!', u'set-map', u'set-mcar!', u'set-mcdr!', + u'set-member?', u'set-mutable?', u'set-phantom-bytes!', + u'set-port-next-location!', u'set-remove', u'set-remove!', u'set-rest', + u'set-some-basic-contracts!', u'set-subtract', u'set-subtract!', + u'set-symmetric-difference', u'set-symmetric-difference!', u'set-union', + u'set-union!', u'set-weak?', u'set/c', u'set=?', u'set?', u'seteq', u'seteqv', + u'seventh', u'sgn', u'shared-bytes', u'shell-execute', u'shrink-path-wrt', + u'shuffle', u'simple-form-path', u'simplify-path', u'sin', + u'single-flonum?', u'sinh', u'sixth', u'skip-projection-wrapper?', u'sleep', + u'some-system-path->string', u'sort', u'special-comment-value', + u'special-comment?', u'special-filter-input-port', u'split-at', + u'split-at-right', u'split-common-prefix', u'split-path', u'splitf-at', + u'splitf-at-right', u'sqr', u'sqrt', u'srcloc', u'srcloc->string', + u'srcloc-column', u'srcloc-line', u'srcloc-position', u'srcloc-source', + u'srcloc-span', u'srcloc?', u'stop-after', u'stop-before', u'stream->list', + u'stream-add-between', u'stream-andmap', u'stream-append', u'stream-count', + u'stream-empty?', u'stream-filter', u'stream-first', u'stream-fold', + u'stream-for-each', u'stream-length', u'stream-map', u'stream-ormap', + u'stream-ref', u'stream-rest', u'stream-tail', u'stream/c', u'stream?', + u'string', u'string->bytes/latin-1', u'string->bytes/locale', + u'string->bytes/utf-8', u'string->immutable-string', u'string->keyword', + u'string->list', u'string->number', u'string->path', + u'string->path-element', u'string->some-system-path', u'string->symbol', + u'string->uninterned-symbol', u'string->unreadable-symbol', + u'string-append', u'string-append*', u'string-ci<=?', u'string-ci=?', u'string-ci>?', u'string-contains?', + u'string-copy', u'string-copy!', u'string-downcase', + u'string-environment-variable-name?', u'string-fill!', u'string-foldcase', + u'string-join', u'string-len/c', u'string-length', u'string-locale-ci?', u'string-locale-downcase', + u'string-locale-upcase', u'string-locale?', u'string-no-nuls?', u'string-normalize-nfc', + u'string-normalize-nfd', u'string-normalize-nfkc', + u'string-normalize-nfkd', u'string-normalize-spaces', u'string-port?', + u'string-prefix?', u'string-ref', u'string-replace', u'string-set!', + u'string-split', u'string-suffix?', u'string-titlecase', u'string-trim', + u'string-upcase', u'string-utf-8-length', u'string<=?', u'string=?', u'string>?', u'string?', u'struct->vector', + u'struct-accessor-procedure?', u'struct-constructor-procedure?', + u'struct-info', u'struct-mutator-procedure?', + u'struct-predicate-procedure?', u'struct-type-info', + u'struct-type-make-constructor', u'struct-type-make-predicate', + u'struct-type-property-accessor-procedure?', u'struct-type-property/c', + u'struct-type-property?', u'struct-type?', u'struct:arity-at-least', + u'struct:arrow-contract-info', u'struct:date', u'struct:date*', + u'struct:exn', u'struct:exn:break', u'struct:exn:break:hang-up', + u'struct:exn:break:terminate', u'struct:exn:fail', + u'struct:exn:fail:contract', u'struct:exn:fail:contract:arity', + u'struct:exn:fail:contract:blame', + u'struct:exn:fail:contract:continuation', + u'struct:exn:fail:contract:divide-by-zero', + u'struct:exn:fail:contract:non-fixnum-result', + u'struct:exn:fail:contract:variable', u'struct:exn:fail:filesystem', + u'struct:exn:fail:filesystem:errno', + u'struct:exn:fail:filesystem:exists', + u'struct:exn:fail:filesystem:missing-module', + u'struct:exn:fail:filesystem:version', u'struct:exn:fail:network', + u'struct:exn:fail:network:errno', u'struct:exn:fail:object', + u'struct:exn:fail:out-of-memory', u'struct:exn:fail:read', + u'struct:exn:fail:read:eof', u'struct:exn:fail:read:non-char', + u'struct:exn:fail:syntax', u'struct:exn:fail:syntax:missing-module', + u'struct:exn:fail:syntax:unbound', u'struct:exn:fail:unsupported', + u'struct:exn:fail:user', u'struct:srcloc', + u'struct:wrapped-extra-arg-arrow', u'struct?', u'sub1', u'subbytes', + u'subclass?', u'subclass?/c', u'subprocess', u'subprocess-group-enabled', + u'subprocess-kill', u'subprocess-pid', u'subprocess-status', + u'subprocess-wait', u'subprocess?', u'subset?', u'substring', u'suggest/c', + u'symbol->string', u'symbol-interned?', u'symbol-unreadable?', u'symboldatum', + u'syntax->list', u'syntax-arm', u'syntax-column', u'syntax-debug-info', + u'syntax-disarm', u'syntax-e', u'syntax-line', + u'syntax-local-bind-syntaxes', u'syntax-local-certifier', + u'syntax-local-context', u'syntax-local-expand-expression', + u'syntax-local-get-shadower', u'syntax-local-identifier-as-binding', + u'syntax-local-introduce', u'syntax-local-lift-context', + u'syntax-local-lift-expression', u'syntax-local-lift-module', + u'syntax-local-lift-module-end-declaration', + u'syntax-local-lift-provide', u'syntax-local-lift-require', + u'syntax-local-lift-values-expression', + u'syntax-local-make-definition-context', + u'syntax-local-make-delta-introducer', + u'syntax-local-module-defined-identifiers', + u'syntax-local-module-exports', + u'syntax-local-module-required-identifiers', u'syntax-local-name', + u'syntax-local-phase-level', u'syntax-local-submodules', + u'syntax-local-transforming-module-provides?', u'syntax-local-value', + u'syntax-local-value/immediate', u'syntax-original?', u'syntax-position', + u'syntax-property', u'syntax-property-preserved?', + u'syntax-property-symbol-keys', u'syntax-protect', u'syntax-rearm', + u'syntax-recertify', u'syntax-shift-phase-level', u'syntax-source', + u'syntax-source-module', u'syntax-span', u'syntax-taint', + u'syntax-tainted?', u'syntax-track-origin', + u'syntax-transforming-module-expression?', + u'syntax-transforming-with-lifts?', u'syntax-transforming?', u'syntax/c', + u'syntax?', u'system', u'system*', u'system*/exit-code', + u'system-big-endian?', u'system-idle-evt', u'system-language+country', + u'system-library-subpath', u'system-path-convention-type', u'system-type', + u'system/exit-code', u'tail-marks-match?', u'take', u'take-common-prefix', + u'take-right', u'takef', u'takef-right', u'tan', u'tanh', + u'tcp-abandon-port', u'tcp-accept', u'tcp-accept-evt', + u'tcp-accept-ready?', u'tcp-accept/enable-break', u'tcp-addresses', + u'tcp-close', u'tcp-connect', u'tcp-connect/enable-break', u'tcp-listen', + u'tcp-listener?', u'tcp-port?', u'tentative-pretty-print-port-cancel', + u'tentative-pretty-print-port-transfer', u'tenth', u'terminal-port?', + u'the-unsupplied-arg', u'third', u'thread', u'thread-cell-ref', + u'thread-cell-set!', u'thread-cell-values?', u'thread-cell?', + u'thread-dead-evt', u'thread-dead?', u'thread-group?', u'thread-receive', + u'thread-receive-evt', u'thread-resume', u'thread-resume-evt', + u'thread-rewind-receive', u'thread-running?', u'thread-send', + u'thread-suspend', u'thread-suspend-evt', u'thread-try-receive', + u'thread-wait', u'thread/suspend-to-kill', u'thread?', u'time-apply', + u'touch', u'transplant-input-port', u'transplant-output-port', u'true', + u'truncate', u'udp-addresses', u'udp-bind!', u'udp-bound?', u'udp-close', + u'udp-connect!', u'udp-connected?', u'udp-multicast-interface', + u'udp-multicast-join-group!', u'udp-multicast-leave-group!', + u'udp-multicast-loopback?', u'udp-multicast-set-interface!', + u'udp-multicast-set-loopback!', u'udp-multicast-set-ttl!', + u'udp-multicast-ttl', u'udp-open-socket', u'udp-receive!', + u'udp-receive!*', u'udp-receive!-evt', u'udp-receive!/enable-break', + u'udp-receive-ready-evt', u'udp-send', u'udp-send*', u'udp-send-evt', + u'udp-send-ready-evt', u'udp-send-to', u'udp-send-to*', u'udp-send-to-evt', + u'udp-send-to/enable-break', u'udp-send/enable-break', u'udp?', u'unbox', + u'uncaught-exception-handler', u'unit?', u'unspecified-dom', + u'unsupplied-arg?', u'use-collection-link-paths', + u'use-compiled-file-paths', u'use-user-specific-search-paths', + u'user-execute-bit', u'user-read-bit', u'user-write-bit', u'value-blame', + u'value-contract', u'values', u'variable-reference->empty-namespace', + u'variable-reference->module-base-phase', + u'variable-reference->module-declaration-inspector', + u'variable-reference->module-path-index', + u'variable-reference->module-source', u'variable-reference->namespace', + u'variable-reference->phase', + u'variable-reference->resolved-module-path', + u'variable-reference-constant?', u'variable-reference?', u'vector', + u'vector->immutable-vector', u'vector->list', + u'vector->pseudo-random-generator', u'vector->pseudo-random-generator!', + u'vector->values', u'vector-append', u'vector-argmax', u'vector-argmin', + u'vector-copy', u'vector-copy!', u'vector-count', u'vector-drop', + u'vector-drop-right', u'vector-fill!', u'vector-filter', + u'vector-filter-not', u'vector-immutable', u'vector-immutable/c', + u'vector-immutableof', u'vector-length', u'vector-map', u'vector-map!', + u'vector-member', u'vector-memq', u'vector-memv', u'vector-ref', + u'vector-set!', u'vector-set*!', u'vector-set-performance-stats!', + u'vector-split-at', u'vector-split-at-right', u'vector-take', + u'vector-take-right', u'vector/c', u'vector?', u'vectorof', u'version', + u'void', u'void?', u'weak-box-value', u'weak-box?', u'weak-set', + u'weak-seteq', u'weak-seteqv', u'will-execute', u'will-executor?', + u'will-register', u'will-try-execute', u'with-input-from-bytes', + u'with-input-from-file', u'with-input-from-string', + u'with-output-to-bytes', u'with-output-to-file', u'with-output-to-string', + u'would-be-future', u'wrap-evt', u'wrapped-extra-arg-arrow', + u'wrapped-extra-arg-arrow-extra-neg-party-argument', + u'wrapped-extra-arg-arrow-real-func', u'wrapped-extra-arg-arrow?', + u'writable<%>', u'write', u'write-byte', u'write-bytes', + u'write-bytes-avail', u'write-bytes-avail*', u'write-bytes-avail-evt', + u'write-bytes-avail/enable-break', u'write-char', u'write-special', + u'write-special-avail*', u'write-special-evt', u'write-string', + u'write-to-file', u'writeln', u'xor', u'zero?', u'~.a', u'~.s', u'~.v', u'~a', + u'~e', u'~r', u'~s', u'~v' + ) + + _opening_parenthesis = r'[([{]' + _closing_parenthesis = r'[)\]}]' + _delimiters = r'()[\]{}",\'`;\s' + _symbol = r'(?u)(?:\|[^|]*\||\\[\w\W]|[^|\\%s]+)+' % _delimiters + _exact_decimal_prefix = r'(?:#e)?(?:#d)?(?:#e)?' + _exponent = r'(?:[defls][-+]?\d+)' + _inexact_simple_no_hashes = r'(?:\d+(?:/\d+|\.\d*)?|\.\d+)' + _inexact_simple = (r'(?:%s|(?:\d+#+(?:\.#*|/\d+#*)?|\.\d+#+|' + r'\d+(?:\.\d*#+|/\d+#+)))' % _inexact_simple_no_hashes) + _inexact_normal_no_hashes = r'(?:%s%s?)' % (_inexact_simple_no_hashes, + _exponent) + _inexact_normal = r'(?:%s%s?)' % (_inexact_simple, _exponent) + _inexact_special = r'(?:(?:inf|nan)\.[0f])' + _inexact_real = r'(?:[-+]?%s|[-+]%s)' % (_inexact_normal, + _inexact_special) + _inexact_unsigned = r'(?:%s|%s)' % (_inexact_normal, _inexact_special) + + tokens = { + 'root': [ + (_closing_parenthesis, Error), + (r'(?!\Z)', Text, 'unquoted-datum') + ], + 'datum': [ + (r'(?s)#;|#![ /]([^\\\n]|\\.)*', Comment), + (u';[^\\n\\r\x85\u2028\u2029]*', Comment.Single), + (r'#\|', Comment.Multiline, 'block-comment'), + + # Whitespaces + (r'(?u)\s+', Text), + + # Numbers: Keep in mind Racket reader hash prefixes, which + # can denote the base or the type. These don't map neatly + # onto Pygments token types; some judgment calls here. + + # #d or no prefix + (r'(?i)%s[-+]?\d+(?=[%s])' % (_exact_decimal_prefix, _delimiters), + Number.Integer, '#pop'), + (r'(?i)%s[-+]?(\d+(\.\d*)?|\.\d+)([deflst][-+]?\d+)?(?=[%s])' % + (_exact_decimal_prefix, _delimiters), Number.Float, '#pop'), + (r'(?i)%s[-+]?(%s([-+]%s?i)?|[-+]%s?i)(?=[%s])' % + (_exact_decimal_prefix, _inexact_normal_no_hashes, + _inexact_normal_no_hashes, _inexact_normal_no_hashes, + _delimiters), Number, '#pop'), + + # Inexact without explicit #i + (r'(?i)(#d)?(%s([-+]%s?i)?|[-+]%s?i|%s@%s)(?=[%s])' % + (_inexact_real, _inexact_unsigned, _inexact_unsigned, + _inexact_real, _inexact_real, _delimiters), Number.Float, + '#pop'), + + # The remaining extflonums + (r'(?i)(([-+]?%st[-+]?\d+)|[-+](inf|nan)\.t)(?=[%s])' % + (_inexact_simple, _delimiters), Number.Float, '#pop'), + + # #b + (r'(?i)(#[ei])?#b%s' % _symbol, Number.Bin, '#pop'), + + # #o + (r'(?i)(#[ei])?#o%s' % _symbol, Number.Oct, '#pop'), + + # #x + (r'(?i)(#[ei])?#x%s' % _symbol, Number.Hex, '#pop'), + + # #i is always inexact, i.e. float + (r'(?i)(#d)?#i%s' % _symbol, Number.Float, '#pop'), + + # Strings and characters + (r'#?"', String.Double, ('#pop', 'string')), + (r'#<<(.+)\n(^(?!\1$).*$\n)*^\1$', String.Heredoc, '#pop'), + (r'#\\(u[\da-fA-F]{1,4}|U[\da-fA-F]{1,8})', String.Char, '#pop'), + (r'(?is)#\\([0-7]{3}|[a-z]+|.)', String.Char, '#pop'), + (r'(?s)#[pr]x#?"(\\?.)*?"', String.Regex, '#pop'), + + # Constants + (r'#(true|false|[tTfF])', Name.Constant, '#pop'), + + # Keyword argument names (e.g. #:keyword) + (r'#:%s' % _symbol, Keyword.Declaration, '#pop'), + + # Reader extensions + (r'(#lang |#!)(\S+)', + bygroups(Keyword.Namespace, Name.Namespace)), + (r'#reader', Keyword.Namespace, 'quoted-datum'), + + # Other syntax + (r"(?i)\.(?=[%s])|#c[is]|#['`]|#,@?" % _delimiters, Operator), + (r"'|#[s&]|#hash(eqv?)?|#\d*(?=%s)" % _opening_parenthesis, + Operator, ('#pop', 'quoted-datum')) + ], + 'datum*': [ + (r'`|,@?', Operator), + (_symbol, String.Symbol, '#pop'), + (r'[|\\]', Error), + default('#pop') + ], + 'list': [ + (_closing_parenthesis, Punctuation, '#pop') + ], + 'unquoted-datum': [ + include('datum'), + (r'quote(?=[%s])' % _delimiters, Keyword, + ('#pop', 'quoted-datum')), + (r'`', Operator, ('#pop', 'quasiquoted-datum')), + (r'quasiquote(?=[%s])' % _delimiters, Keyword, + ('#pop', 'quasiquoted-datum')), + (_opening_parenthesis, Punctuation, ('#pop', 'unquoted-list')), + (words(_keywords, prefix='(?u)', suffix='(?=[%s])' % _delimiters), + Keyword, '#pop'), + (words(_builtins, prefix='(?u)', suffix='(?=[%s])' % _delimiters), + Name.Builtin, '#pop'), + (_symbol, Name, '#pop'), + include('datum*') + ], + 'unquoted-list': [ + include('list'), + (r'(?!\Z)', Text, 'unquoted-datum') + ], + 'quasiquoted-datum': [ + include('datum'), + (r',@?', Operator, ('#pop', 'unquoted-datum')), + (r'unquote(-splicing)?(?=[%s])' % _delimiters, Keyword, + ('#pop', 'unquoted-datum')), + (_opening_parenthesis, Punctuation, ('#pop', 'quasiquoted-list')), + include('datum*') + ], + 'quasiquoted-list': [ + include('list'), + (r'(?!\Z)', Text, 'quasiquoted-datum') + ], + 'quoted-datum': [ + include('datum'), + (_opening_parenthesis, Punctuation, ('#pop', 'quoted-list')), + include('datum*') + ], + 'quoted-list': [ + include('list'), + (r'(?!\Z)', Text, 'quoted-datum') + ], + 'block-comment': [ + (r'#\|', Comment.Multiline, '#push'), + (r'\|#', Comment.Multiline, '#pop'), + (r'[^#|]+|.', Comment.Multiline) + ], + 'string': [ + (r'"', String.Double, '#pop'), + (r'(?s)\\([0-7]{1,3}|x[\da-fA-F]{1,2}|u[\da-fA-F]{1,4}|' + r'U[\da-fA-F]{1,8}|.)', String.Escape), + (r'[^\\"]+', String.Double) + ] + } + + +class NewLispLexer(RegexLexer): + """ + For `newLISP. `_ source code (version 10.3.0). + + .. versionadded:: 1.5 + """ + + name = 'NewLisp' + aliases = ['newlisp'] + filenames = ['*.lsp', '*.nl', '*.kif'] + mimetypes = ['text/x-newlisp', 'application/x-newlisp'] + + flags = re.IGNORECASE | re.MULTILINE | re.UNICODE + + # list of built-in functions for newLISP version 10.3 + builtins = ( + '^', '--', '-', ':', '!', '!=', '?', '@', '*', '/', '&', '%', '+', '++', + '<', '<<', '<=', '=', '>', '>=', '>>', '|', '~', '$', '$0', '$1', '$10', + '$11', '$12', '$13', '$14', '$15', '$2', '$3', '$4', '$5', '$6', '$7', + '$8', '$9', '$args', '$idx', '$it', '$main-args', 'abort', 'abs', + 'acos', 'acosh', 'add', 'address', 'amb', 'and', 'append-file', + 'append', 'apply', 'args', 'array-list', 'array?', 'array', 'asin', + 'asinh', 'assoc', 'atan', 'atan2', 'atanh', 'atom?', 'base64-dec', + 'base64-enc', 'bayes-query', 'bayes-train', 'begin', + 'beta', 'betai', 'bind', 'binomial', 'bits', 'callback', + 'case', 'catch', 'ceil', 'change-dir', 'char', 'chop', 'Class', 'clean', + 'close', 'command-event', 'cond', 'cons', 'constant', + 'context?', 'context', 'copy-file', 'copy', 'cos', 'cosh', 'count', + 'cpymem', 'crc32', 'crit-chi2', 'crit-z', 'current-line', 'curry', + 'date-list', 'date-parse', 'date-value', 'date', 'debug', 'dec', + 'def-new', 'default', 'define-macro', 'define', + 'delete-file', 'delete-url', 'delete', 'destroy', 'det', 'device', + 'difference', 'directory?', 'directory', 'div', 'do-until', 'do-while', + 'doargs', 'dolist', 'dostring', 'dotimes', 'dotree', 'dump', 'dup', + 'empty?', 'encrypt', 'ends-with', 'env', 'erf', 'error-event', + 'eval-string', 'eval', 'exec', 'exists', 'exit', 'exp', 'expand', + 'explode', 'extend', 'factor', 'fft', 'file-info', 'file?', 'filter', + 'find-all', 'find', 'first', 'flat', 'float?', 'float', 'floor', 'flt', + 'fn', 'for-all', 'for', 'fork', 'format', 'fv', 'gammai', 'gammaln', + 'gcd', 'get-char', 'get-float', 'get-int', 'get-long', 'get-string', + 'get-url', 'global?', 'global', 'if-not', 'if', 'ifft', 'import', 'inc', + 'index', 'inf?', 'int', 'integer?', 'integer', 'intersect', 'invert', + 'irr', 'join', 'lambda-macro', 'lambda?', 'lambda', 'last-error', + 'last', 'legal?', 'length', 'let', 'letex', 'letn', + 'list?', 'list', 'load', 'local', 'log', 'lookup', + 'lower-case', 'macro?', 'main-args', 'MAIN', 'make-dir', 'map', 'mat', + 'match', 'max', 'member', 'min', 'mod', 'module', 'mul', 'multiply', + 'NaN?', 'net-accept', 'net-close', 'net-connect', 'net-error', + 'net-eval', 'net-interface', 'net-ipv', 'net-listen', 'net-local', + 'net-lookup', 'net-packet', 'net-peek', 'net-peer', 'net-ping', + 'net-receive-from', 'net-receive-udp', 'net-receive', 'net-select', + 'net-send-to', 'net-send-udp', 'net-send', 'net-service', + 'net-sessions', 'new', 'nil?', 'nil', 'normal', 'not', 'now', 'nper', + 'npv', 'nth', 'null?', 'number?', 'open', 'or', 'ostype', 'pack', + 'parse-date', 'parse', 'peek', 'pipe', 'pmt', 'pop-assoc', 'pop', + 'post-url', 'pow', 'prefix', 'pretty-print', 'primitive?', 'print', + 'println', 'prob-chi2', 'prob-z', 'process', 'prompt-event', + 'protected?', 'push', 'put-url', 'pv', 'quote?', 'quote', 'rand', + 'random', 'randomize', 'read', 'read-char', 'read-expr', 'read-file', + 'read-key', 'read-line', 'read-utf8', 'reader-event', + 'real-path', 'receive', 'ref-all', 'ref', 'regex-comp', 'regex', + 'remove-dir', 'rename-file', 'replace', 'reset', 'rest', 'reverse', + 'rotate', 'round', 'save', 'search', 'seed', 'seek', 'select', 'self', + 'semaphore', 'send', 'sequence', 'series', 'set-locale', 'set-ref-all', + 'set-ref', 'set', 'setf', 'setq', 'sgn', 'share', 'signal', 'silent', + 'sin', 'sinh', 'sleep', 'slice', 'sort', 'source', 'spawn', 'sqrt', + 'starts-with', 'string?', 'string', 'sub', 'swap', 'sym', 'symbol?', + 'symbols', 'sync', 'sys-error', 'sys-info', 'tan', 'tanh', 'term', + 'throw-error', 'throw', 'time-of-day', 'time', 'timer', 'title-case', + 'trace-highlight', 'trace', 'transpose', 'Tree', 'trim', 'true?', + 'true', 'unicode', 'unify', 'unique', 'unless', 'unpack', 'until', + 'upper-case', 'utf8', 'utf8len', 'uuid', 'wait-pid', 'when', 'while', + 'write', 'write-char', 'write-file', 'write-line', + 'xfer-event', 'xml-error', 'xml-parse', 'xml-type-tags', 'zero?', + ) + + # valid names + valid_name = r'([\w!$%&*+.,/<=>?@^~|-])+|(\[.*?\])+' + + tokens = { + 'root': [ + # shebang + (r'#!(.*?)$', Comment.Preproc), + # comments starting with semicolon + (r';.*$', Comment.Single), + # comments starting with # + (r'#.*$', Comment.Single), + + # whitespace + (r'\s+', Text), + + # strings, symbols and characters + (r'"(\\\\|\\"|[^"])*"', String), + + # braces + (r'\{', String, "bracestring"), + + # [text] ... [/text] delimited strings + (r'\[text\]*', String, "tagstring"), + + # 'special' operators... + (r"('|:)", Operator), + + # highlight the builtins + (words(builtins, suffix=r'\b'), + Keyword), + + # the remaining functions + (r'(?<=\()' + valid_name, Name.Variable), + + # the remaining variables + (valid_name, String.Symbol), + + # parentheses + (r'(\(|\))', Punctuation), + ], + + # braced strings... + 'bracestring': [ + (r'\{', String, "#push"), + (r'\}', String, "#pop"), + ('[^{}]+', String), + ], + + # tagged [text]...[/text] delimited strings... + 'tagstring': [ + (r'(?s)(.*?)(\[/text\])', String, '#pop'), + ], + } + + +class EmacsLispLexer(RegexLexer): + """ + An ELisp lexer, parsing a stream and outputting the tokens + needed to highlight elisp code. + + .. versionadded:: 2.1 + """ + name = 'EmacsLisp' + aliases = ['emacs', 'elisp', 'emacs-lisp'] + filenames = ['*.el'] + mimetypes = ['text/x-elisp', 'application/x-elisp'] + + flags = re.MULTILINE + + # couple of useful regexes + + # characters that are not macro-characters and can be used to begin a symbol + nonmacro = r'\\.|[\w!$%&*+-/<=>?@^{}~|]' + constituent = nonmacro + '|[#.:]' + terminated = r'(?=[ "()\]\'\n,;`])' # whitespace or terminating macro characters + + # symbol token, reverse-engineered from hyperspec + # Take a deep breath... + symbol = r'((?:%s)(?:%s)*)' % (nonmacro, constituent) + + macros = set(( + 'atomic-change-group', 'case', 'block', 'cl-block', 'cl-callf', 'cl-callf2', + 'cl-case', 'cl-decf', 'cl-declaim', 'cl-declare', + 'cl-define-compiler-macro', 'cl-defmacro', 'cl-defstruct', + 'cl-defsubst', 'cl-deftype', 'cl-defun', 'cl-destructuring-bind', + 'cl-do', 'cl-do*', 'cl-do-all-symbols', 'cl-do-symbols', 'cl-dolist', + 'cl-dotimes', 'cl-ecase', 'cl-etypecase', 'eval-when', 'cl-eval-when', 'cl-flet', + 'cl-flet*', 'cl-function', 'cl-incf', 'cl-labels', 'cl-letf', + 'cl-letf*', 'cl-load-time-value', 'cl-locally', 'cl-loop', + 'cl-macrolet', 'cl-multiple-value-bind', 'cl-multiple-value-setq', + 'cl-progv', 'cl-psetf', 'cl-psetq', 'cl-pushnew', 'cl-remf', + 'cl-return', 'cl-return-from', 'cl-rotatef', 'cl-shiftf', + 'cl-symbol-macrolet', 'cl-tagbody', 'cl-the', 'cl-typecase', + 'combine-after-change-calls', 'condition-case-unless-debug', 'decf', + 'declaim', 'declare', 'declare-function', 'def-edebug-spec', + 'defadvice', 'defclass', 'defcustom', 'defface', 'defgeneric', + 'defgroup', 'define-advice', 'define-alternatives', + 'define-compiler-macro', 'define-derived-mode', 'define-generic-mode', + 'define-global-minor-mode', 'define-globalized-minor-mode', + 'define-minor-mode', 'define-modify-macro', + 'define-obsolete-face-alias', 'define-obsolete-function-alias', + 'define-obsolete-variable-alias', 'define-setf-expander', + 'define-skeleton', 'defmacro', 'defmethod', 'defsetf', 'defstruct', + 'defsubst', 'deftheme', 'deftype', 'defun', 'defvar-local', + 'delay-mode-hooks', 'destructuring-bind', 'do', 'do*', + 'do-all-symbols', 'do-symbols', 'dolist', 'dont-compile', 'dotimes', + 'dotimes-with-progress-reporter', 'ecase', 'ert-deftest', 'etypecase', + 'eval-and-compile', 'eval-when-compile', 'flet', 'ignore-errors', + 'incf', 'labels', 'lambda', 'letrec', 'lexical-let', 'lexical-let*', + 'loop', 'multiple-value-bind', 'multiple-value-setq', 'noreturn', + 'oref', 'oref-default', 'oset', 'oset-default', 'pcase', + 'pcase-defmacro', 'pcase-dolist', 'pcase-exhaustive', 'pcase-let', + 'pcase-let*', 'pop', 'psetf', 'psetq', 'push', 'pushnew', 'remf', + 'return', 'rotatef', 'rx', 'save-match-data', 'save-selected-window', + 'save-window-excursion', 'setf', 'setq-local', 'shiftf', + 'track-mouse', 'typecase', 'unless', 'use-package', 'when', + 'while-no-input', 'with-case-table', 'with-category-table', + 'with-coding-priority', 'with-current-buffer', 'with-demoted-errors', + 'with-eval-after-load', 'with-file-modes', 'with-local-quit', + 'with-output-to-string', 'with-output-to-temp-buffer', + 'with-parsed-tramp-file-name', 'with-selected-frame', + 'with-selected-window', 'with-silent-modifications', 'with-slots', + 'with-syntax-table', 'with-temp-buffer', 'with-temp-file', + 'with-temp-message', 'with-timeout', 'with-tramp-connection-property', + 'with-tramp-file-property', 'with-tramp-progress-reporter', + 'with-wrapper-hook', 'load-time-value', 'locally', 'macrolet', 'progv', + 'return-from', + )) + + special_forms = set(( + 'and', 'catch', 'cond', 'condition-case', 'defconst', 'defvar', + 'function', 'if', 'interactive', 'let', 'let*', 'or', 'prog1', + 'prog2', 'progn', 'quote', 'save-current-buffer', 'save-excursion', + 'save-restriction', 'setq', 'setq-default', 'subr-arity', + 'unwind-protect', 'while', + )) + + builtin_function = set(( + '%', '*', '+', '-', '/', '/=', '1+', '1-', '<', '<=', '=', '>', '>=', + 'Snarf-documentation', 'abort-recursive-edit', 'abs', + 'accept-process-output', 'access-file', 'accessible-keymaps', 'acos', + 'active-minibuffer-window', 'add-face-text-property', + 'add-name-to-file', 'add-text-properties', 'all-completions', + 'append', 'apply', 'apropos-internal', 'aref', 'arrayp', 'aset', + 'ash', 'asin', 'assoc', 'assoc-string', 'assq', 'atan', 'atom', + 'autoload', 'autoload-do-load', 'backtrace', 'backtrace--locals', + 'backtrace-debug', 'backtrace-eval', 'backtrace-frame', + 'backward-char', 'backward-prefix-chars', 'barf-if-buffer-read-only', + 'base64-decode-region', 'base64-decode-string', + 'base64-encode-region', 'base64-encode-string', 'beginning-of-line', + 'bidi-find-overridden-directionality', 'bidi-resolved-levels', + 'bitmap-spec-p', 'bobp', 'bolp', 'bool-vector', + 'bool-vector-count-consecutive', 'bool-vector-count-population', + 'bool-vector-exclusive-or', 'bool-vector-intersection', + 'bool-vector-not', 'bool-vector-p', 'bool-vector-set-difference', + 'bool-vector-subsetp', 'bool-vector-union', 'boundp', + 'buffer-base-buffer', 'buffer-chars-modified-tick', + 'buffer-enable-undo', 'buffer-file-name', 'buffer-has-markers-at', + 'buffer-list', 'buffer-live-p', 'buffer-local-value', + 'buffer-local-variables', 'buffer-modified-p', 'buffer-modified-tick', + 'buffer-name', 'buffer-size', 'buffer-string', 'buffer-substring', + 'buffer-substring-no-properties', 'buffer-swap-text', 'bufferp', + 'bury-buffer-internal', 'byte-code', 'byte-code-function-p', + 'byte-to-position', 'byte-to-string', 'byteorder', + 'call-interactively', 'call-last-kbd-macro', 'call-process', + 'call-process-region', 'cancel-kbd-macro-events', 'capitalize', + 'capitalize-region', 'capitalize-word', 'car', 'car-less-than-car', + 'car-safe', 'case-table-p', 'category-docstring', + 'category-set-mnemonics', 'category-table', 'category-table-p', + 'ccl-execute', 'ccl-execute-on-string', 'ccl-program-p', 'cdr', + 'cdr-safe', 'ceiling', 'char-after', 'char-before', + 'char-category-set', 'char-charset', 'char-equal', 'char-or-string-p', + 'char-resolve-modifiers', 'char-syntax', 'char-table-extra-slot', + 'char-table-p', 'char-table-parent', 'char-table-range', + 'char-table-subtype', 'char-to-string', 'char-width', 'characterp', + 'charset-after', 'charset-id-internal', 'charset-plist', + 'charset-priority-list', 'charsetp', 'check-coding-system', + 'check-coding-systems-region', 'clear-buffer-auto-save-failure', + 'clear-charset-maps', 'clear-face-cache', 'clear-font-cache', + 'clear-image-cache', 'clear-string', 'clear-this-command-keys', + 'close-font', 'clrhash', 'coding-system-aliases', + 'coding-system-base', 'coding-system-eol-type', 'coding-system-p', + 'coding-system-plist', 'coding-system-priority-list', + 'coding-system-put', 'color-distance', 'color-gray-p', + 'color-supported-p', 'combine-after-change-execute', + 'command-error-default-function', 'command-remapping', 'commandp', + 'compare-buffer-substrings', 'compare-strings', + 'compare-window-configurations', 'completing-read', + 'compose-region-internal', 'compose-string-internal', + 'composition-get-gstring', 'compute-motion', 'concat', 'cons', + 'consp', 'constrain-to-field', 'continue-process', + 'controlling-tty-p', 'coordinates-in-window-p', 'copy-alist', + 'copy-category-table', 'copy-file', 'copy-hash-table', 'copy-keymap', + 'copy-marker', 'copy-sequence', 'copy-syntax-table', 'copysign', + 'cos', 'current-active-maps', 'current-bidi-paragraph-direction', + 'current-buffer', 'current-case-table', 'current-column', + 'current-global-map', 'current-idle-time', 'current-indentation', + 'current-input-mode', 'current-local-map', 'current-message', + 'current-minor-mode-maps', 'current-time', 'current-time-string', + 'current-time-zone', 'current-window-configuration', + 'cygwin-convert-file-name-from-windows', + 'cygwin-convert-file-name-to-windows', 'daemon-initialized', + 'daemonp', 'dbus--init-bus', 'dbus-get-unique-name', + 'dbus-message-internal', 'debug-timer-check', 'declare-equiv-charset', + 'decode-big5-char', 'decode-char', 'decode-coding-region', + 'decode-coding-string', 'decode-sjis-char', 'decode-time', + 'default-boundp', 'default-file-modes', 'default-printer-name', + 'default-toplevel-value', 'default-value', 'define-category', + 'define-charset-alias', 'define-charset-internal', + 'define-coding-system-alias', 'define-coding-system-internal', + 'define-fringe-bitmap', 'define-hash-table-test', 'define-key', + 'define-prefix-command', 'delete', + 'delete-all-overlays', 'delete-and-extract-region', 'delete-char', + 'delete-directory-internal', 'delete-field', 'delete-file', + 'delete-frame', 'delete-other-windows-internal', 'delete-overlay', + 'delete-process', 'delete-region', 'delete-terminal', + 'delete-window-internal', 'delq', 'describe-buffer-bindings', + 'describe-vector', 'destroy-fringe-bitmap', 'detect-coding-region', + 'detect-coding-string', 'ding', 'directory-file-name', + 'directory-files', 'directory-files-and-attributes', 'discard-input', + 'display-supports-face-attributes-p', 'do-auto-save', 'documentation', + 'documentation-property', 'downcase', 'downcase-region', + 'downcase-word', 'draw-string', 'dump-colors', 'dump-emacs', + 'dump-face', 'dump-frame-glyph-matrix', 'dump-glyph-matrix', + 'dump-glyph-row', 'dump-redisplay-history', 'dump-tool-bar-row', + 'elt', 'emacs-pid', 'encode-big5-char', 'encode-char', + 'encode-coding-region', 'encode-coding-string', 'encode-sjis-char', + 'encode-time', 'end-kbd-macro', 'end-of-line', 'eobp', 'eolp', 'eq', + 'eql', 'equal', 'equal-including-properties', 'erase-buffer', + 'error-message-string', 'eval', 'eval-buffer', 'eval-region', + 'event-convert-list', 'execute-kbd-macro', 'exit-recursive-edit', + 'exp', 'expand-file-name', 'expt', 'external-debugging-output', + 'face-attribute-relative-p', 'face-attributes-as-vector', 'face-font', + 'fboundp', 'fceiling', 'fetch-bytecode', 'ffloor', + 'field-beginning', 'field-end', 'field-string', + 'field-string-no-properties', 'file-accessible-directory-p', + 'file-acl', 'file-attributes', 'file-attributes-lessp', + 'file-directory-p', 'file-executable-p', 'file-exists-p', + 'file-locked-p', 'file-modes', 'file-name-absolute-p', + 'file-name-all-completions', 'file-name-as-directory', + 'file-name-completion', 'file-name-directory', + 'file-name-nondirectory', 'file-newer-than-file-p', 'file-readable-p', + 'file-regular-p', 'file-selinux-context', 'file-symlink-p', + 'file-system-info', 'file-system-info', 'file-writable-p', + 'fillarray', 'find-charset-region', 'find-charset-string', + 'find-coding-systems-region-internal', 'find-composition-internal', + 'find-file-name-handler', 'find-font', 'find-operation-coding-system', + 'float', 'float-time', 'floatp', 'floor', 'fmakunbound', + 'following-char', 'font-at', 'font-drive-otf', 'font-face-attributes', + 'font-family-list', 'font-get', 'font-get-glyphs', + 'font-get-system-font', 'font-get-system-normal-font', 'font-info', + 'font-match-p', 'font-otf-alternates', 'font-put', + 'font-shape-gstring', 'font-spec', 'font-variation-glyphs', + 'font-xlfd-name', 'fontp', 'fontset-font', 'fontset-info', + 'fontset-list', 'fontset-list-all', 'force-mode-line-update', + 'force-window-update', 'format', 'format-mode-line', + 'format-network-address', 'format-time-string', 'forward-char', + 'forward-comment', 'forward-line', 'forward-word', + 'frame-border-width', 'frame-bottom-divider-width', + 'frame-can-run-window-configuration-change-hook', 'frame-char-height', + 'frame-char-width', 'frame-face-alist', 'frame-first-window', + 'frame-focus', 'frame-font-cache', 'frame-fringe-width', 'frame-list', + 'frame-live-p', 'frame-or-buffer-changed-p', 'frame-parameter', + 'frame-parameters', 'frame-pixel-height', 'frame-pixel-width', + 'frame-pointer-visible-p', 'frame-right-divider-width', + 'frame-root-window', 'frame-scroll-bar-height', + 'frame-scroll-bar-width', 'frame-selected-window', 'frame-terminal', + 'frame-text-cols', 'frame-text-height', 'frame-text-lines', + 'frame-text-width', 'frame-total-cols', 'frame-total-lines', + 'frame-visible-p', 'framep', 'frexp', 'fringe-bitmaps-at-pos', + 'fround', 'fset', 'ftruncate', 'funcall', 'funcall-interactively', + 'function-equal', 'functionp', 'gap-position', 'gap-size', + 'garbage-collect', 'gc-status', 'generate-new-buffer-name', 'get', + 'get-buffer', 'get-buffer-create', 'get-buffer-process', + 'get-buffer-window', 'get-byte', 'get-char-property', + 'get-char-property-and-overlay', 'get-file-buffer', 'get-file-char', + 'get-internal-run-time', 'get-load-suffixes', 'get-pos-property', + 'get-process', 'get-screen-color', 'get-text-property', + 'get-unicode-property-internal', 'get-unused-category', + 'get-unused-iso-final-char', 'getenv-internal', 'gethash', + 'gfile-add-watch', 'gfile-rm-watch', 'global-key-binding', + 'gnutls-available-p', 'gnutls-boot', 'gnutls-bye', 'gnutls-deinit', + 'gnutls-error-fatalp', 'gnutls-error-string', 'gnutls-errorp', + 'gnutls-get-initstage', 'gnutls-peer-status', + 'gnutls-peer-status-warning-describe', 'goto-char', 'gpm-mouse-start', + 'gpm-mouse-stop', 'group-gid', 'group-real-gid', + 'handle-save-session', 'handle-switch-frame', 'hash-table-count', + 'hash-table-p', 'hash-table-rehash-size', + 'hash-table-rehash-threshold', 'hash-table-size', 'hash-table-test', + 'hash-table-weakness', 'iconify-frame', 'identity', 'image-flush', + 'image-mask-p', 'image-metadata', 'image-size', 'imagemagick-types', + 'imagep', 'indent-to', 'indirect-function', 'indirect-variable', + 'init-image-library', 'inotify-add-watch', 'inotify-rm-watch', + 'input-pending-p', 'insert', 'insert-and-inherit', + 'insert-before-markers', 'insert-before-markers-and-inherit', + 'insert-buffer-substring', 'insert-byte', 'insert-char', + 'insert-file-contents', 'insert-startup-screen', 'int86', + 'integer-or-marker-p', 'integerp', 'interactive-form', 'intern', + 'intern-soft', 'internal--track-mouse', 'internal-char-font', + 'internal-complete-buffer', 'internal-copy-lisp-face', + 'internal-default-process-filter', + 'internal-default-process-sentinel', 'internal-describe-syntax-value', + 'internal-event-symbol-parse-modifiers', + 'internal-face-x-get-resource', 'internal-get-lisp-face-attribute', + 'internal-lisp-face-attribute-values', 'internal-lisp-face-empty-p', + 'internal-lisp-face-equal-p', 'internal-lisp-face-p', + 'internal-make-lisp-face', 'internal-make-var-non-special', + 'internal-merge-in-global-face', + 'internal-set-alternative-font-family-alist', + 'internal-set-alternative-font-registry-alist', + 'internal-set-font-selection-order', + 'internal-set-lisp-face-attribute', + 'internal-set-lisp-face-attribute-from-resource', + 'internal-show-cursor', 'internal-show-cursor-p', 'interrupt-process', + 'invisible-p', 'invocation-directory', 'invocation-name', 'isnan', + 'iso-charset', 'key-binding', 'key-description', + 'keyboard-coding-system', 'keymap-parent', 'keymap-prompt', 'keymapp', + 'keywordp', 'kill-all-local-variables', 'kill-buffer', 'kill-emacs', + 'kill-local-variable', 'kill-process', 'last-nonminibuffer-frame', + 'lax-plist-get', 'lax-plist-put', 'ldexp', 'length', + 'libxml-parse-html-region', 'libxml-parse-xml-region', + 'line-beginning-position', 'line-end-position', 'line-pixel-height', + 'list', 'list-fonts', 'list-system-processes', 'listp', 'load', + 'load-average', 'local-key-binding', 'local-variable-if-set-p', + 'local-variable-p', 'locale-info', 'locate-file-internal', + 'lock-buffer', 'log', 'logand', 'logb', 'logior', 'lognot', 'logxor', + 'looking-at', 'lookup-image', 'lookup-image-map', 'lookup-key', + 'lower-frame', 'lsh', 'macroexpand', 'make-bool-vector', + 'make-byte-code', 'make-category-set', 'make-category-table', + 'make-char', 'make-char-table', 'make-directory-internal', + 'make-frame-invisible', 'make-frame-visible', 'make-hash-table', + 'make-indirect-buffer', 'make-keymap', 'make-list', + 'make-local-variable', 'make-marker', 'make-network-process', + 'make-overlay', 'make-serial-process', 'make-sparse-keymap', + 'make-string', 'make-symbol', 'make-symbolic-link', 'make-temp-name', + 'make-terminal-frame', 'make-variable-buffer-local', + 'make-variable-frame-local', 'make-vector', 'makunbound', + 'map-char-table', 'map-charset-chars', 'map-keymap', + 'map-keymap-internal', 'mapatoms', 'mapc', 'mapcar', 'mapconcat', + 'maphash', 'mark-marker', 'marker-buffer', 'marker-insertion-type', + 'marker-position', 'markerp', 'match-beginning', 'match-data', + 'match-end', 'matching-paren', 'max', 'max-char', 'md5', 'member', + 'memory-info', 'memory-limit', 'memory-use-counts', 'memq', 'memql', + 'menu-bar-menu-at-x-y', 'menu-or-popup-active-p', + 'menu-or-popup-active-p', 'merge-face-attribute', 'message', + 'message-box', 'message-or-box', 'min', + 'minibuffer-completion-contents', 'minibuffer-contents', + 'minibuffer-contents-no-properties', 'minibuffer-depth', + 'minibuffer-prompt', 'minibuffer-prompt-end', + 'minibuffer-selected-window', 'minibuffer-window', 'minibufferp', + 'minor-mode-key-binding', 'mod', 'modify-category-entry', + 'modify-frame-parameters', 'modify-syntax-entry', + 'mouse-pixel-position', 'mouse-position', 'move-overlay', + 'move-point-visually', 'move-to-column', 'move-to-window-line', + 'msdos-downcase-filename', 'msdos-long-file-names', 'msdos-memget', + 'msdos-memput', 'msdos-mouse-disable', 'msdos-mouse-enable', + 'msdos-mouse-init', 'msdos-mouse-p', 'msdos-remember-default-colors', + 'msdos-set-keyboard', 'msdos-set-mouse-buttons', + 'multibyte-char-to-unibyte', 'multibyte-string-p', 'narrow-to-region', + 'natnump', 'nconc', 'network-interface-info', + 'network-interface-list', 'new-fontset', 'newline-cache-check', + 'next-char-property-change', 'next-frame', 'next-overlay-change', + 'next-property-change', 'next-read-file-uses-dialog-p', + 'next-single-char-property-change', 'next-single-property-change', + 'next-window', 'nlistp', 'nreverse', 'nth', 'nthcdr', 'null', + 'number-or-marker-p', 'number-to-string', 'numberp', + 'open-dribble-file', 'open-font', 'open-termscript', + 'optimize-char-table', 'other-buffer', 'other-window-for-scrolling', + 'overlay-buffer', 'overlay-end', 'overlay-get', 'overlay-lists', + 'overlay-properties', 'overlay-put', 'overlay-recenter', + 'overlay-start', 'overlayp', 'overlays-at', 'overlays-in', + 'parse-partial-sexp', 'play-sound-internal', 'plist-get', + 'plist-member', 'plist-put', 'point', 'point-marker', 'point-max', + 'point-max-marker', 'point-min', 'point-min-marker', + 'pos-visible-in-window-p', 'position-bytes', 'posix-looking-at', + 'posix-search-backward', 'posix-search-forward', 'posix-string-match', + 'posn-at-point', 'posn-at-x-y', 'preceding-char', + 'prefix-numeric-value', 'previous-char-property-change', + 'previous-frame', 'previous-overlay-change', + 'previous-property-change', 'previous-single-char-property-change', + 'previous-single-property-change', 'previous-window', 'prin1', + 'prin1-to-string', 'princ', 'print', 'process-attributes', + 'process-buffer', 'process-coding-system', 'process-command', + 'process-connection', 'process-contact', 'process-datagram-address', + 'process-exit-status', 'process-filter', 'process-filter-multibyte-p', + 'process-id', 'process-inherit-coding-system-flag', 'process-list', + 'process-mark', 'process-name', 'process-plist', + 'process-query-on-exit-flag', 'process-running-child-p', + 'process-send-eof', 'process-send-region', 'process-send-string', + 'process-sentinel', 'process-status', 'process-tty-name', + 'process-type', 'processp', 'profiler-cpu-log', + 'profiler-cpu-running-p', 'profiler-cpu-start', 'profiler-cpu-stop', + 'profiler-memory-log', 'profiler-memory-running-p', + 'profiler-memory-start', 'profiler-memory-stop', 'propertize', + 'purecopy', 'put', 'put-text-property', + 'put-unicode-property-internal', 'puthash', 'query-font', + 'query-fontset', 'quit-process', 'raise-frame', 'random', 'rassoc', + 'rassq', 're-search-backward', 're-search-forward', 'read', + 'read-buffer', 'read-char', 'read-char-exclusive', + 'read-coding-system', 'read-command', 'read-event', + 'read-from-minibuffer', 'read-from-string', 'read-function', + 'read-key-sequence', 'read-key-sequence-vector', + 'read-no-blanks-input', 'read-non-nil-coding-system', 'read-string', + 'read-variable', 'recent-auto-save-p', 'recent-doskeys', + 'recent-keys', 'recenter', 'recursion-depth', 'recursive-edit', + 'redirect-debugging-output', 'redirect-frame-focus', 'redisplay', + 'redraw-display', 'redraw-frame', 'regexp-quote', 'region-beginning', + 'region-end', 'register-ccl-program', 'register-code-conversion-map', + 'remhash', 'remove-list-of-text-properties', 'remove-text-properties', + 'rename-buffer', 'rename-file', 'replace-match', + 'reset-this-command-lengths', 'resize-mini-window-internal', + 'restore-buffer-modified-p', 'resume-tty', 'reverse', 'round', + 'run-hook-with-args', 'run-hook-with-args-until-failure', + 'run-hook-with-args-until-success', 'run-hook-wrapped', 'run-hooks', + 'run-window-configuration-change-hook', 'run-window-scroll-functions', + 'safe-length', 'scan-lists', 'scan-sexps', 'scroll-down', + 'scroll-left', 'scroll-other-window', 'scroll-right', 'scroll-up', + 'search-backward', 'search-forward', 'secure-hash', 'select-frame', + 'select-window', 'selected-frame', 'selected-window', + 'self-insert-command', 'send-string-to-terminal', 'sequencep', + 'serial-process-configure', 'set', 'set-buffer', + 'set-buffer-auto-saved', 'set-buffer-major-mode', + 'set-buffer-modified-p', 'set-buffer-multibyte', 'set-case-table', + 'set-category-table', 'set-char-table-extra-slot', + 'set-char-table-parent', 'set-char-table-range', 'set-charset-plist', + 'set-charset-priority', 'set-coding-system-priority', + 'set-cursor-size', 'set-default', 'set-default-file-modes', + 'set-default-toplevel-value', 'set-file-acl', 'set-file-modes', + 'set-file-selinux-context', 'set-file-times', 'set-fontset-font', + 'set-frame-height', 'set-frame-position', 'set-frame-selected-window', + 'set-frame-size', 'set-frame-width', 'set-fringe-bitmap-face', + 'set-input-interrupt-mode', 'set-input-meta-mode', 'set-input-mode', + 'set-keyboard-coding-system-internal', 'set-keymap-parent', + 'set-marker', 'set-marker-insertion-type', 'set-match-data', + 'set-message-beep', 'set-minibuffer-window', + 'set-mouse-pixel-position', 'set-mouse-position', + 'set-network-process-option', 'set-output-flow-control', + 'set-process-buffer', 'set-process-coding-system', + 'set-process-datagram-address', 'set-process-filter', + 'set-process-filter-multibyte', + 'set-process-inherit-coding-system-flag', 'set-process-plist', + 'set-process-query-on-exit-flag', 'set-process-sentinel', + 'set-process-window-size', 'set-quit-char', + 'set-safe-terminal-coding-system-internal', 'set-screen-color', + 'set-standard-case-table', 'set-syntax-table', + 'set-terminal-coding-system-internal', 'set-terminal-local-value', + 'set-terminal-parameter', 'set-text-properties', 'set-time-zone-rule', + 'set-visited-file-modtime', 'set-window-buffer', + 'set-window-combination-limit', 'set-window-configuration', + 'set-window-dedicated-p', 'set-window-display-table', + 'set-window-fringes', 'set-window-hscroll', 'set-window-margins', + 'set-window-new-normal', 'set-window-new-pixel', + 'set-window-new-total', 'set-window-next-buffers', + 'set-window-parameter', 'set-window-point', 'set-window-prev-buffers', + 'set-window-redisplay-end-trigger', 'set-window-scroll-bars', + 'set-window-start', 'set-window-vscroll', 'setcar', 'setcdr', + 'setplist', 'show-face-resources', 'signal', 'signal-process', 'sin', + 'single-key-description', 'skip-chars-backward', 'skip-chars-forward', + 'skip-syntax-backward', 'skip-syntax-forward', 'sleep-for', 'sort', + 'sort-charsets', 'special-variable-p', 'split-char', + 'split-window-internal', 'sqrt', 'standard-case-table', + 'standard-category-table', 'standard-syntax-table', 'start-kbd-macro', + 'start-process', 'stop-process', 'store-kbd-macro-event', 'string', + 'string-as-multibyte', 'string-as-unibyte', 'string-bytes', + 'string-collate-equalp', 'string-collate-lessp', 'string-equal', + 'string-lessp', 'string-make-multibyte', 'string-make-unibyte', + 'string-match', 'string-to-char', 'string-to-multibyte', + 'string-to-number', 'string-to-syntax', 'string-to-unibyte', + 'string-width', 'stringp', 'subr-name', 'subrp', + 'subst-char-in-region', 'substitute-command-keys', + 'substitute-in-file-name', 'substring', 'substring-no-properties', + 'suspend-emacs', 'suspend-tty', 'suspicious-object', 'sxhash', + 'symbol-function', 'symbol-name', 'symbol-plist', 'symbol-value', + 'symbolp', 'syntax-table', 'syntax-table-p', 'system-groups', + 'system-move-file-to-trash', 'system-name', 'system-users', 'tan', + 'terminal-coding-system', 'terminal-list', 'terminal-live-p', + 'terminal-local-value', 'terminal-name', 'terminal-parameter', + 'terminal-parameters', 'terpri', 'test-completion', + 'text-char-description', 'text-properties-at', 'text-property-any', + 'text-property-not-all', 'this-command-keys', + 'this-command-keys-vector', 'this-single-command-keys', + 'this-single-command-raw-keys', 'time-add', 'time-less-p', + 'time-subtract', 'tool-bar-get-system-style', 'tool-bar-height', + 'tool-bar-pixel-width', 'top-level', 'trace-redisplay', + 'trace-to-stderr', 'translate-region-internal', 'transpose-regions', + 'truncate', 'try-completion', 'tty-display-color-cells', + 'tty-display-color-p', 'tty-no-underline', + 'tty-suppress-bold-inverse-default-colors', 'tty-top-frame', + 'tty-type', 'type-of', 'undo-boundary', 'unencodable-char-position', + 'unhandled-file-name-directory', 'unibyte-char-to-multibyte', + 'unibyte-string', 'unicode-property-table-internal', 'unify-charset', + 'unintern', 'unix-sync', 'unlock-buffer', 'upcase', 'upcase-initials', + 'upcase-initials-region', 'upcase-region', 'upcase-word', + 'use-global-map', 'use-local-map', 'user-full-name', + 'user-login-name', 'user-real-login-name', 'user-real-uid', + 'user-uid', 'variable-binding-locus', 'vconcat', 'vector', + 'vector-or-char-table-p', 'vectorp', 'verify-visited-file-modtime', + 'vertical-motion', 'visible-frame-list', 'visited-file-modtime', + 'w16-get-clipboard-data', 'w16-selection-exists-p', + 'w16-set-clipboard-data', 'w32-battery-status', + 'w32-default-color-map', 'w32-define-rgb-color', + 'w32-display-monitor-attributes-list', 'w32-frame-menu-bar-size', + 'w32-frame-rect', 'w32-get-clipboard-data', + 'w32-get-codepage-charset', 'w32-get-console-codepage', + 'w32-get-console-output-codepage', 'w32-get-current-locale-id', + 'w32-get-default-locale-id', 'w32-get-keyboard-layout', + 'w32-get-locale-info', 'w32-get-valid-codepages', + 'w32-get-valid-keyboard-layouts', 'w32-get-valid-locale-ids', + 'w32-has-winsock', 'w32-long-file-name', 'w32-reconstruct-hot-key', + 'w32-register-hot-key', 'w32-registered-hot-keys', + 'w32-selection-exists-p', 'w32-send-sys-command', + 'w32-set-clipboard-data', 'w32-set-console-codepage', + 'w32-set-console-output-codepage', 'w32-set-current-locale', + 'w32-set-keyboard-layout', 'w32-set-process-priority', + 'w32-shell-execute', 'w32-short-file-name', 'w32-toggle-lock-key', + 'w32-unload-winsock', 'w32-unregister-hot-key', 'w32-window-exists-p', + 'w32notify-add-watch', 'w32notify-rm-watch', + 'waiting-for-user-input-p', 'where-is-internal', 'widen', + 'widget-apply', 'widget-get', 'widget-put', + 'window-absolute-pixel-edges', 'window-at', 'window-body-height', + 'window-body-width', 'window-bottom-divider-width', 'window-buffer', + 'window-combination-limit', 'window-configuration-frame', + 'window-configuration-p', 'window-dedicated-p', + 'window-display-table', 'window-edges', 'window-end', 'window-frame', + 'window-fringes', 'window-header-line-height', 'window-hscroll', + 'window-inside-absolute-pixel-edges', 'window-inside-edges', + 'window-inside-pixel-edges', 'window-left-child', + 'window-left-column', 'window-line-height', 'window-list', + 'window-list-1', 'window-live-p', 'window-margins', + 'window-minibuffer-p', 'window-mode-line-height', 'window-new-normal', + 'window-new-pixel', 'window-new-total', 'window-next-buffers', + 'window-next-sibling', 'window-normal-size', 'window-old-point', + 'window-parameter', 'window-parameters', 'window-parent', + 'window-pixel-edges', 'window-pixel-height', 'window-pixel-left', + 'window-pixel-top', 'window-pixel-width', 'window-point', + 'window-prev-buffers', 'window-prev-sibling', + 'window-redisplay-end-trigger', 'window-resize-apply', + 'window-resize-apply-total', 'window-right-divider-width', + 'window-scroll-bar-height', 'window-scroll-bar-width', + 'window-scroll-bars', 'window-start', 'window-system', + 'window-text-height', 'window-text-pixel-size', 'window-text-width', + 'window-top-child', 'window-top-line', 'window-total-height', + 'window-total-width', 'window-use-time', 'window-valid-p', + 'window-vscroll', 'windowp', 'write-char', 'write-region', + 'x-backspace-delete-keys-p', 'x-change-window-property', + 'x-change-window-property', 'x-close-connection', + 'x-close-connection', 'x-create-frame', 'x-create-frame', + 'x-delete-window-property', 'x-delete-window-property', + 'x-disown-selection-internal', 'x-display-backing-store', + 'x-display-backing-store', 'x-display-color-cells', + 'x-display-color-cells', 'x-display-grayscale-p', + 'x-display-grayscale-p', 'x-display-list', 'x-display-list', + 'x-display-mm-height', 'x-display-mm-height', 'x-display-mm-width', + 'x-display-mm-width', 'x-display-monitor-attributes-list', + 'x-display-pixel-height', 'x-display-pixel-height', + 'x-display-pixel-width', 'x-display-pixel-width', 'x-display-planes', + 'x-display-planes', 'x-display-save-under', 'x-display-save-under', + 'x-display-screens', 'x-display-screens', 'x-display-visual-class', + 'x-display-visual-class', 'x-family-fonts', 'x-file-dialog', + 'x-file-dialog', 'x-file-dialog', 'x-focus-frame', 'x-frame-geometry', + 'x-frame-geometry', 'x-get-atom-name', 'x-get-resource', + 'x-get-selection-internal', 'x-hide-tip', 'x-hide-tip', + 'x-list-fonts', 'x-load-color-file', 'x-menu-bar-open-internal', + 'x-menu-bar-open-internal', 'x-open-connection', 'x-open-connection', + 'x-own-selection-internal', 'x-parse-geometry', 'x-popup-dialog', + 'x-popup-menu', 'x-register-dnd-atom', 'x-select-font', + 'x-select-font', 'x-selection-exists-p', 'x-selection-owner-p', + 'x-send-client-message', 'x-server-max-request-size', + 'x-server-max-request-size', 'x-server-vendor', 'x-server-vendor', + 'x-server-version', 'x-server-version', 'x-show-tip', 'x-show-tip', + 'x-synchronize', 'x-synchronize', 'x-uses-old-gtk-dialog', + 'x-window-property', 'x-window-property', 'x-wm-set-size-hint', + 'xw-color-defined-p', 'xw-color-defined-p', 'xw-color-values', + 'xw-color-values', 'xw-display-color-p', 'xw-display-color-p', + 'yes-or-no-p', 'zlib-available-p', 'zlib-decompress-region', + 'forward-point', + )) + + builtin_function_highlighted = set(( + 'defvaralias', 'provide', 'require', + 'with-no-warnings', 'define-widget', 'with-electric-help', + 'throw', 'defalias', 'featurep' + )) + + lambda_list_keywords = set(( + '&allow-other-keys', '&aux', '&body', '&environment', '&key', '&optional', + '&rest', '&whole', + )) + + error_keywords = set(( + 'cl-assert', 'cl-check-type', 'error', 'signal', + 'user-error', 'warn', + )) + + def get_tokens_unprocessed(self, text): + stack = ['root'] + for index, token, value in RegexLexer.get_tokens_unprocessed(self, text, stack): + if token is Name.Variable: + if value in EmacsLispLexer.builtin_function: + yield index, Name.Function, value + continue + if value in EmacsLispLexer.special_forms: + yield index, Keyword, value + continue + if value in EmacsLispLexer.error_keywords: + yield index, Name.Exception, value + continue + if value in EmacsLispLexer.builtin_function_highlighted: + yield index, Name.Builtin, value + continue + if value in EmacsLispLexer.macros: + yield index, Name.Builtin, value + continue + if value in EmacsLispLexer.lambda_list_keywords: + yield index, Keyword.Pseudo, value + continue + yield index, token, value + + tokens = { + 'root': [ + default('body'), + ], + 'body': [ + # whitespace + (r'\s+', Text), + + # single-line comment + (r';.*$', Comment.Single), + + # strings and characters + (r'"', String, 'string'), + (r'\?([^\\]|\\.)', String.Char), + # quoting + (r":" + symbol, Name.Builtin), + (r"::" + symbol, String.Symbol), + (r"'" + symbol, String.Symbol), + (r"'", Operator), + (r"`", Operator), + + # decimal numbers + (r'[-+]?\d+\.?' + terminated, Number.Integer), + (r'[-+]?\d+/\d+' + terminated, Number), + (r'[-+]?(\d*\.\d+([defls][-+]?\d+)?|\d+(\.\d*)?[defls][-+]?\d+)' + + terminated, Number.Float), + + # vectors + (r'\[|\]', Punctuation), + + # uninterned symbol + (r'#:' + symbol, String.Symbol), + + # read syntax for char tables + (r'#\^\^?', Operator), + + # function shorthand + (r'#\'', Name.Function), + + # binary rational + (r'#[bB][+-]?[01]+(/[01]+)?', Number.Bin), + + # octal rational + (r'#[oO][+-]?[0-7]+(/[0-7]+)?', Number.Oct), + + # hex rational + (r'#[xX][+-]?[0-9a-fA-F]+(/[0-9a-fA-F]+)?', Number.Hex), + + # radix rational + (r'#\d+r[+-]?[0-9a-zA-Z]+(/[0-9a-zA-Z]+)?', Number), + + # reference + (r'#\d+=', Operator), + (r'#\d+#', Operator), + + # special operators that should have been parsed already + (r'(,@|,|\.|:)', Operator), + + # special constants + (r'(t|nil)' + terminated, Name.Constant), + + # functions and variables + (r'\*' + symbol + '\*', Name.Variable.Global), + (symbol, Name.Variable), + + # parentheses + (r'#\(', Operator, 'body'), + (r'\(', Punctuation, 'body'), + (r'\)', Punctuation, '#pop'), + ], + 'string': [ + (r'[^"\\`]+', String), + (r'`%s\'' % symbol, String.Symbol), + (r'`', String), + (r'\\.', String), + (r'\\\n', String), + (r'"', String, '#pop'), + ], + } + + +class ShenLexer(RegexLexer): + """ + Lexer for `Shen `_ source code. + + .. versionadded:: 2.1 + """ + name = 'Shen' + aliases = ['shen'] + filenames = ['*.shen'] + mimetypes = ['text/x-shen', 'application/x-shen'] + + DECLARATIONS = ( + 'datatype', 'define', 'defmacro', 'defprolog', 'defcc', + 'synonyms', 'declare', 'package', 'type', 'function', + ) + + SPECIAL_FORMS = ( + 'lambda', 'get', 'let', 'if', 'cases', 'cond', 'put', 'time', 'freeze', + 'value', 'load', '$', 'protect', 'or', 'and', 'not', 'do', 'output', + 'prolog?', 'trap-error', 'error', 'make-string', '/.', 'set', '@p', + '@s', '@v', + ) + + BUILTINS = ( + '==', '=', '*', '+', '-', '/', '<', '>', '>=', '<=', '<-address', + '<-vector', 'abort', 'absvector', 'absvector?', 'address->', 'adjoin', + 'append', 'arity', 'assoc', 'bind', 'boolean?', 'bound?', 'call', 'cd', + 'close', 'cn', 'compile', 'concat', 'cons', 'cons?', 'cut', 'destroy', + 'difference', 'element?', 'empty?', 'enable-type-theory', + 'error-to-string', 'eval', 'eval-kl', 'exception', 'explode', 'external', + 'fail', 'fail-if', 'file', 'findall', 'fix', 'fst', 'fwhen', 'gensym', + 'get-time', 'hash', 'hd', 'hdstr', 'hdv', 'head', 'identical', + 'implementation', 'in', 'include', 'include-all-but', 'inferences', + 'input', 'input+', 'integer?', 'intern', 'intersection', 'is', 'kill', + 'language', 'length', 'limit', 'lineread', 'loaded', 'macro', 'macroexpand', + 'map', 'mapcan', 'maxinferences', 'mode', 'n->string', 'nl', 'nth', 'null', + 'number?', 'occurrences', 'occurs-check', 'open', 'os', 'out', 'port', + 'porters', 'pos', 'pr', 'preclude', 'preclude-all-but', 'print', 'profile', + 'profile-results', 'ps', 'quit', 'read', 'read+', 'read-byte', 'read-file', + 'read-file-as-bytelist', 'read-file-as-string', 'read-from-string', + 'release', 'remove', 'return', 'reverse', 'run', 'save', 'set', + 'simple-error', 'snd', 'specialise', 'spy', 'step', 'stinput', 'stoutput', + 'str', 'string->n', 'string->symbol', 'string?', 'subst', 'symbol?', + 'systemf', 'tail', 'tc', 'tc?', 'thaw', 'tl', 'tlstr', 'tlv', 'track', + 'tuple?', 'undefmacro', 'unify', 'unify!', 'union', 'unprofile', + 'unspecialise', 'untrack', 'variable?', 'vector', 'vector->', 'vector?', + 'verified', 'version', 'warn', 'when', 'write-byte', 'write-to-file', + 'y-or-n?', + ) + + BUILTINS_ANYWHERE = ('where', 'skip', '>>', '_', '!', '', '') + + MAPPINGS = dict((s, Keyword) for s in DECLARATIONS) + MAPPINGS.update((s, Name.Builtin) for s in BUILTINS) + MAPPINGS.update((s, Keyword) for s in SPECIAL_FORMS) + + valid_symbol_chars = r'[\w!$%*+,<=>?/.\'@&#:-]' + valid_name = '%s+' % valid_symbol_chars + symbol_name = r'[a-z!$%%*+,<=>?/.\'@&#_-]%s*' % valid_symbol_chars + variable = r'[A-Z]%s*' % valid_symbol_chars + + tokens = { + 'string': [ + (r'"', String, '#pop'), + (r'c#\d{1,3};', String.Escape), + (r'~[ARS%]', String.Interpol), + (r'(?s).', String), + ], + + 'root': [ + (r'(?s)\\\*.*?\*\\', Comment.Multiline), # \* ... *\ + (r'\\\\.*', Comment.Single), # \\ ... + (r'\s+', Text), + (r'_{5,}', Punctuation), + (r'={5,}', Punctuation), + (r'(;|:=|\||--?>|<--?)', Punctuation), + (r'(:-|:|\{|\})', Literal), + (r'[+-]*\d*\.\d+(e[+-]?\d+)?', Number.Float), + (r'[+-]*\d+', Number.Integer), + (r'"', String, 'string'), + (variable, Name.Variable), + (r'(true|false|<>|\[\])', Keyword.Pseudo), + (symbol_name, Literal), + (r'(\[|\]|\(|\))', Punctuation), + ], + } + + def get_tokens_unprocessed(self, text): + tokens = RegexLexer.get_tokens_unprocessed(self, text) + tokens = self._process_symbols(tokens) + tokens = self._process_declarations(tokens) + return tokens + + def _relevant(self, token): + return token not in (Text, Comment.Single, Comment.Multiline) + + def _process_declarations(self, tokens): + opening_paren = False + for index, token, value in tokens: + yield index, token, value + if self._relevant(token): + if opening_paren and token == Keyword and value in self.DECLARATIONS: + declaration = value + for index, token, value in \ + self._process_declaration(declaration, tokens): + yield index, token, value + opening_paren = value == '(' and token == Punctuation + + def _process_symbols(self, tokens): + opening_paren = False + for index, token, value in tokens: + if opening_paren and token in (Literal, Name.Variable): + token = self.MAPPINGS.get(value, Name.Function) + elif token == Literal and value in self.BUILTINS_ANYWHERE: + token = Name.Builtin + opening_paren = value == '(' and token == Punctuation + yield index, token, value + + def _process_declaration(self, declaration, tokens): + for index, token, value in tokens: + if self._relevant(token): + break + yield index, token, value + + if declaration == 'datatype': + prev_was_colon = False + token = Keyword.Type if token == Literal else token + yield index, token, value + for index, token, value in tokens: + if prev_was_colon and token == Literal: + token = Keyword.Type + yield index, token, value + if self._relevant(token): + prev_was_colon = token == Literal and value == ':' + elif declaration == 'package': + token = Name.Namespace if token == Literal else token + yield index, token, value + elif declaration == 'define': + token = Name.Function if token == Literal else token + yield index, token, value + for index, token, value in tokens: + if self._relevant(token): + break + yield index, token, value + if value == '{' and token == Literal: + yield index, Punctuation, value + for index, token, value in self._process_signature(tokens): + yield index, token, value + else: + yield index, token, value + else: + token = Name.Function if token == Literal else token + yield index, token, value + + raise StopIteration + + def _process_signature(self, tokens): + for index, token, value in tokens: + if token == Literal and value == '}': + yield index, Punctuation, value + raise StopIteration + elif token in (Literal, Name.Function): + token = Name.Variable if value.istitle() else Keyword.Type + yield index, token, value + + +class CPSALexer(SchemeLexer): + """ + A CPSA lexer based on the CPSA language as of version 2.2.12 + + .. versionadded:: 2.1 + """ + name = 'CPSA' + aliases = ['cpsa'] + filenames = ['*.cpsa'] + mimetypes = [] + + # list of known keywords and builtins taken form vim 6.4 scheme.vim + # syntax file. + _keywords = ( + 'herald', 'vars', 'defmacro', 'include', 'defprotocol', 'defrole', + 'defskeleton', 'defstrand', 'deflistener', 'non-orig', 'uniq-orig', + 'pen-non-orig', 'precedes', 'trace', 'send', 'recv', 'name', 'text', + 'skey', 'akey', 'data', 'mesg', + ) + _builtins = ( + 'cat', 'enc', 'hash', 'privk', 'pubk', 'invk', 'ltk', 'gen', 'exp', + ) + + # valid names for identifiers + # well, names can only not consist fully of numbers + # but this should be good enough for now + valid_name = r'[\w!$%&*+,/:<=>?@^~|-]+' + + tokens = { + 'root': [ + # the comments - always starting with semicolon + # and going to the end of the line + (r';.*$', Comment.Single), + + # whitespaces - usually not relevant + (r'\s+', Text), + + # numbers + (r'-?\d+\.\d+', Number.Float), + (r'-?\d+', Number.Integer), + # support for uncommon kinds of numbers - + # have to figure out what the characters mean + # (r'(#e|#i|#b|#o|#d|#x)[\d.]+', Number), + + # strings, symbols and characters + (r'"(\\\\|\\"|[^"])*"', String), + (r"'" + valid_name, String.Symbol), + (r"#\\([()/'\"._!§$%& ?=+-]|[a-zA-Z0-9]+)", String.Char), + + # constants + (r'(#t|#f)', Name.Constant), + + # special operators + (r"('|#|`|,@|,|\.)", Operator), + + # highlight the keywords + (words(_keywords, suffix=r'\b'), Keyword), + + # first variable in a quoted string like + # '(this is syntactic sugar) + (r"(?<='\()" + valid_name, Name.Variable), + (r"(?<=#\()" + valid_name, Name.Variable), + + # highlight the builtins + (words(_builtins, prefix=r'(?<=\()', suffix=r'\b'), Name.Builtin), + + # the remaining functions + (r'(?<=\()' + valid_name, Name.Function), + # find the remaining variables + (valid_name, Name.Variable), + + # the famous parentheses! + (r'(\(|\))', Punctuation), + (r'(\[|\])', Punctuation), + ], + } + + +class XtlangLexer(RegexLexer): + """An xtlang lexer for the `Extempore programming environment + `_. + + This is a mixture of Scheme and xtlang, really. Keyword lists are + taken from the Extempore Emacs mode + (https://github.com/extemporelang/extempore-emacs-mode) + + .. versionadded:: 2.2 + """ + name = 'xtlang' + aliases = ['extempore'] + filenames = ['*.xtm'] + mimetypes = [] + + common_keywords = ( + 'lambda', 'define', 'if', 'else', 'cond', 'and', + 'or', 'let', 'begin', 'set!', 'map', 'for-each', + ) + scheme_keywords = ( + 'do', 'delay', 'quasiquote', 'unquote', 'unquote-splicing', 'eval', + 'case', 'let*', 'letrec', 'quote', + ) + xtlang_bind_keywords = ( + 'bind-func', 'bind-val', 'bind-lib', 'bind-type', 'bind-alias', + 'bind-poly', 'bind-dylib', 'bind-lib-func', 'bind-lib-val', + ) + xtlang_keywords = ( + 'letz', 'memzone', 'cast', 'convert', 'dotimes', 'doloop', + ) + common_functions = ( + '*', '+', '-', '/', '<', '<=', '=', '>', '>=', '%', 'abs', 'acos', + 'angle', 'append', 'apply', 'asin', 'assoc', 'assq', 'assv', + 'atan', 'boolean?', 'caaaar', 'caaadr', 'caaar', 'caadar', + 'caaddr', 'caadr', 'caar', 'cadaar', 'cadadr', 'cadar', + 'caddar', 'cadddr', 'caddr', 'cadr', 'car', 'cdaaar', + 'cdaadr', 'cdaar', 'cdadar', 'cdaddr', 'cdadr', 'cdar', + 'cddaar', 'cddadr', 'cddar', 'cdddar', 'cddddr', 'cdddr', + 'cddr', 'cdr', 'ceiling', 'cons', 'cos', 'floor', 'length', + 'list', 'log', 'max', 'member', 'min', 'modulo', 'not', + 'reverse', 'round', 'sin', 'sqrt', 'substring', 'tan', + 'println', 'random', 'null?', 'callback', 'now', + ) + scheme_functions = ( + 'call-with-current-continuation', 'call-with-input-file', + 'call-with-output-file', 'call-with-values', 'call/cc', + 'char->integer', 'char-alphabetic?', 'char-ci<=?', 'char-ci=?', 'char-ci>?', 'char-downcase', + 'char-lower-case?', 'char-numeric?', 'char-ready?', + 'char-upcase', 'char-upper-case?', 'char-whitespace?', + 'char<=?', 'char=?', 'char>?', 'char?', + 'close-input-port', 'close-output-port', 'complex?', + 'current-input-port', 'current-output-port', 'denominator', + 'display', 'dynamic-wind', 'eof-object?', 'eq?', 'equal?', + 'eqv?', 'even?', 'exact->inexact', 'exact?', 'exp', 'expt', + 'force', 'gcd', 'imag-part', 'inexact->exact', 'inexact?', + 'input-port?', 'integer->char', 'integer?', + 'interaction-environment', 'lcm', 'list->string', + 'list->vector', 'list-ref', 'list-tail', 'list?', 'load', + 'magnitude', 'make-polar', 'make-rectangular', 'make-string', + 'make-vector', 'memq', 'memv', 'negative?', 'newline', + 'null-environment', 'number->string', 'number?', + 'numerator', 'odd?', 'open-input-file', 'open-output-file', + 'output-port?', 'pair?', 'peek-char', 'port?', 'positive?', + 'procedure?', 'quotient', 'rational?', 'rationalize', 'read', + 'read-char', 'real-part', 'real?', + 'remainder', 'scheme-report-environment', 'set-car!', 'set-cdr!', + 'string', 'string->list', 'string->number', 'string->symbol', + 'string-append', 'string-ci<=?', 'string-ci=?', 'string-ci>?', 'string-copy', 'string-fill!', + 'string-length', 'string-ref', 'string-set!', 'string<=?', + 'string=?', 'string>?', 'string?', + 'symbol->string', 'symbol?', 'transcript-off', 'transcript-on', + 'truncate', 'values', 'vector', 'vector->list', 'vector-fill!', + 'vector-length', 'vector?', + 'with-input-from-file', 'with-output-to-file', 'write', + 'write-char', 'zero?', + ) + xtlang_functions = ( + 'toString', 'afill!', 'pfill!', 'tfill!', 'tbind', 'vfill!', + 'array-fill!', 'pointer-fill!', 'tuple-fill!', 'vector-fill!', 'free', + 'array', 'tuple', 'list', '~', 'cset!', 'cref', '&', 'bor', + 'ang-names', '<<', '>>', 'nil', 'printf', 'sprintf', 'null', 'now', + 'pset!', 'pref-ptr', 'vset!', 'vref', 'aset!', 'aref', 'aref-ptr', + 'tset!', 'tref', 'tref-ptr', 'salloc', 'halloc', 'zalloc', 'alloc', + 'schedule', 'exp', 'log', 'sin', 'cos', 'tan', 'asin', 'acos', 'atan', + 'sqrt', 'expt', 'floor', 'ceiling', 'truncate', 'round', + 'llvm_printf', 'push_zone', 'pop_zone', 'memzone', 'callback', + 'llvm_sprintf', 'make-array', 'array-set!', 'array-ref', + 'array-ref-ptr', 'pointer-set!', 'pointer-ref', 'pointer-ref-ptr', + 'stack-alloc', 'heap-alloc', 'zone-alloc', 'make-tuple', 'tuple-set!', + 'tuple-ref', 'tuple-ref-ptr', 'closure-set!', 'closure-ref', 'pref', + 'pdref', 'impc_null', 'bitcast', 'void', 'ifret', 'ret->', 'clrun->', + 'make-env-zone', 'make-env', '<>', 'dtof', 'ftod', 'i1tof', + 'i1tod', 'i1toi8', 'i1toi32', 'i1toi64', 'i8tof', 'i8tod', + 'i8toi1', 'i8toi32', 'i8toi64', 'i32tof', 'i32tod', 'i32toi1', + 'i32toi8', 'i32toi64', 'i64tof', 'i64tod', 'i64toi1', + 'i64toi8', 'i64toi32', + ) + + # valid names for Scheme identifiers (names cannot consist fully + # of numbers, but this should be good enough for now) + valid_scheme_name = r'[\w!$%&*+,/:<=>?@^~|-]+' + + # valid characters in xtlang names & types + valid_xtlang_name = r'[\w.!-]+' + valid_xtlang_type = r'[]{}[\w<>,*/|!-]+' + + tokens = { + # keep track of when we're exiting the xtlang form + 'xtlang': [ + (r'\(', Punctuation, '#push'), + (r'\)', Punctuation, '#pop'), + + (r'(?<=bind-func\s)' + valid_xtlang_name, Name.Function), + (r'(?<=bind-val\s)' + valid_xtlang_name, Name.Function), + (r'(?<=bind-type\s)' + valid_xtlang_name, Name.Function), + (r'(?<=bind-alias\s)' + valid_xtlang_name, Name.Function), + (r'(?<=bind-poly\s)' + valid_xtlang_name, Name.Function), + (r'(?<=bind-lib\s)' + valid_xtlang_name, Name.Function), + (r'(?<=bind-dylib\s)' + valid_xtlang_name, Name.Function), + (r'(?<=bind-lib-func\s)' + valid_xtlang_name, Name.Function), + (r'(?<=bind-lib-val\s)' + valid_xtlang_name, Name.Function), + + # type annotations + (r':' + valid_xtlang_type, Keyword.Type), + + # types + (r'(<' + valid_xtlang_type + r'>|\|' + valid_xtlang_type + r'\||/' + + valid_xtlang_type + r'/|' + valid_xtlang_type + r'\*)\**', + Keyword.Type), + + # keywords + (words(xtlang_keywords, prefix=r'(?<=\()'), Keyword), + + # builtins + (words(xtlang_functions, prefix=r'(?<=\()'), Name.Function), + + include('common'), + + # variables + (valid_xtlang_name, Name.Variable), + ], + 'scheme': [ + # quoted symbols + (r"'" + valid_scheme_name, String.Symbol), + + # char literals + (r"#\\([()/'\"._!§$%& ?=+-]|[a-zA-Z0-9]+)", String.Char), + + # special operators + (r"('|#|`|,@|,|\.)", Operator), + + # keywords + (words(scheme_keywords, prefix=r'(?<=\()'), Keyword), + + # builtins + (words(scheme_functions, prefix=r'(?<=\()'), Name.Function), + + include('common'), + + # variables + (valid_scheme_name, Name.Variable), + ], + # common to both xtlang and Scheme + 'common': [ + # comments + (r';.*$', Comment.Single), + + # whitespaces - usually not relevant + (r'\s+', Text), + + # numbers + (r'-?\d+\.\d+', Number.Float), + (r'-?\d+', Number.Integer), + + # binary/oct/hex literals + (r'(#b|#o|#x)[\d.]+', Number), + + # strings + (r'"(\\\\|\\"|[^"])*"', String), + + # true/false constants + (r'(#t|#f)', Name.Constant), + + # keywords + (words(common_keywords, prefix=r'(?<=\()'), Keyword), + + # builtins + (words(common_functions, prefix=r'(?<=\()'), Name.Function), + + # the famous parentheses! + (r'(\(|\))', Punctuation), + ], + 'root': [ + # go into xtlang mode + (words(xtlang_bind_keywords, prefix=r'(?<=\()', suffix=r'\b'), + Keyword, 'xtlang'), + + include('scheme') + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/make.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/make.py new file mode 100644 index 0000000000000000000000000000000000000000..b222b67292777163db321d769f131473a903267e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/make.py @@ -0,0 +1,202 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.make + ~~~~~~~~~~~~~~~~~~~~ + + Lexers for Makefiles and similar. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, include, bygroups, \ + do_insertions, using +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Punctuation +from pygments.lexers.shell import BashLexer + +__all__ = ['MakefileLexer', 'BaseMakefileLexer', 'CMakeLexer'] + + +class MakefileLexer(Lexer): + """ + Lexer for BSD and GNU make extensions (lenient enough to handle both in + the same file even). + + *Rewritten in Pygments 0.10.* + """ + + name = 'Makefile' + aliases = ['make', 'makefile', 'mf', 'bsdmake'] + filenames = ['*.mak', '*.mk', 'Makefile', 'makefile', 'Makefile.*', 'GNUmakefile'] + mimetypes = ['text/x-makefile'] + + r_special = re.compile( + r'^(?:' + # BSD Make + r'\.\s*(include|undef|error|warning|if|else|elif|endif|for|endfor)|' + # GNU Make + r'\s*(ifeq|ifneq|ifdef|ifndef|else|endif|-?include|define|endef|:|vpath)|' + # GNU Automake + r'\s*(if|else|endif))(?=\s)') + r_comment = re.compile(r'^\s*@?#') + + def get_tokens_unprocessed(self, text): + ins = [] + lines = text.splitlines(True) + done = '' + lex = BaseMakefileLexer(**self.options) + backslashflag = False + for line in lines: + if self.r_special.match(line) or backslashflag: + ins.append((len(done), [(0, Comment.Preproc, line)])) + backslashflag = line.strip().endswith('\\') + elif self.r_comment.match(line): + ins.append((len(done), [(0, Comment, line)])) + else: + done += line + for item in do_insertions(ins, lex.get_tokens_unprocessed(done)): + yield item + + def analyse_text(text): + # Many makefiles have $(BIG_CAPS) style variables + if re.search(r'\$\([A-Z_]+\)', text): + return 0.1 + + +class BaseMakefileLexer(RegexLexer): + """ + Lexer for simple Makefiles (no preprocessing). + + .. versionadded:: 0.10 + """ + + name = 'Base Makefile' + aliases = ['basemake'] + filenames = [] + mimetypes = [] + + tokens = { + 'root': [ + # recipes (need to allow spaces because of expandtabs) + (r'^(?:[\t ]+.*\n|\n)+', using(BashLexer)), + # special variables + (r'\$[<@$+%?|*]', Keyword), + (r'\s+', Text), + (r'#.*?\n', Comment), + (r'(export)(\s+)(?=[\w${}\t -]+\n)', + bygroups(Keyword, Text), 'export'), + (r'export\s+', Keyword), + # assignment + (r'([\w${}().-]+)(\s*)([!?:+]?=)([ \t]*)((?:.*\\\n)+|.*\n)', + bygroups(Name.Variable, Text, Operator, Text, using(BashLexer))), + # strings + (r'(?s)"(\\\\|\\.|[^"\\])*"', String.Double), + (r"(?s)'(\\\\|\\.|[^'\\])*'", String.Single), + # targets + (r'([^\n:]+)(:+)([ \t]*)', bygroups(Name.Function, Operator, Text), + 'block-header'), + # expansions + (r'\$\(', Keyword, 'expansion'), + ], + 'expansion': [ + (r'[^$a-zA-Z_()]+', Text), + (r'[a-zA-Z_]+', Name.Variable), + (r'\$', Keyword), + (r'\(', Keyword, '#push'), + (r'\)', Keyword, '#pop'), + ], + 'export': [ + (r'[\w${}-]+', Name.Variable), + (r'\n', Text, '#pop'), + (r'\s+', Text), + ], + 'block-header': [ + (r'[,|]', Punctuation), + (r'#.*?\n', Comment, '#pop'), + (r'\\\n', Text), # line continuation + (r'\$\(', Keyword, 'expansion'), + (r'[a-zA-Z_]+', Name), + (r'\n', Text, '#pop'), + (r'.', Text), + ], + } + + +class CMakeLexer(RegexLexer): + """ + Lexer for `CMake `_ files. + + .. versionadded:: 1.2 + """ + name = 'CMake' + aliases = ['cmake'] + filenames = ['*.cmake', 'CMakeLists.txt'] + mimetypes = ['text/x-cmake'] + + tokens = { + 'root': [ + # (r'(ADD_CUSTOM_COMMAND|ADD_CUSTOM_TARGET|ADD_DEFINITIONS|' + # r'ADD_DEPENDENCIES|ADD_EXECUTABLE|ADD_LIBRARY|ADD_SUBDIRECTORY|' + # r'ADD_TEST|AUX_SOURCE_DIRECTORY|BUILD_COMMAND|BUILD_NAME|' + # r'CMAKE_MINIMUM_REQUIRED|CONFIGURE_FILE|CREATE_TEST_SOURCELIST|' + # r'ELSE|ELSEIF|ENABLE_LANGUAGE|ENABLE_TESTING|ENDFOREACH|' + # r'ENDFUNCTION|ENDIF|ENDMACRO|ENDWHILE|EXEC_PROGRAM|' + # r'EXECUTE_PROCESS|EXPORT_LIBRARY_DEPENDENCIES|FILE|FIND_FILE|' + # r'FIND_LIBRARY|FIND_PACKAGE|FIND_PATH|FIND_PROGRAM|FLTK_WRAP_UI|' + # r'FOREACH|FUNCTION|GET_CMAKE_PROPERTY|GET_DIRECTORY_PROPERTY|' + # r'GET_FILENAME_COMPONENT|GET_SOURCE_FILE_PROPERTY|' + # r'GET_TARGET_PROPERTY|GET_TEST_PROPERTY|IF|INCLUDE|' + # r'INCLUDE_DIRECTORIES|INCLUDE_EXTERNAL_MSPROJECT|' + # r'INCLUDE_REGULAR_EXPRESSION|INSTALL|INSTALL_FILES|' + # r'INSTALL_PROGRAMS|INSTALL_TARGETS|LINK_DIRECTORIES|' + # r'LINK_LIBRARIES|LIST|LOAD_CACHE|LOAD_COMMAND|MACRO|' + # r'MAKE_DIRECTORY|MARK_AS_ADVANCED|MATH|MESSAGE|OPTION|' + # r'OUTPUT_REQUIRED_FILES|PROJECT|QT_WRAP_CPP|QT_WRAP_UI|REMOVE|' + # r'REMOVE_DEFINITIONS|SEPARATE_ARGUMENTS|SET|' + # r'SET_DIRECTORY_PROPERTIES|SET_SOURCE_FILES_PROPERTIES|' + # r'SET_TARGET_PROPERTIES|SET_TESTS_PROPERTIES|SITE_NAME|' + # r'SOURCE_GROUP|STRING|SUBDIR_DEPENDS|SUBDIRS|' + # r'TARGET_LINK_LIBRARIES|TRY_COMPILE|TRY_RUN|UNSET|' + # r'USE_MANGLED_MESA|UTILITY_SOURCE|VARIABLE_REQUIRES|' + # r'VTK_MAKE_INSTANTIATOR|VTK_WRAP_JAVA|VTK_WRAP_PYTHON|' + # r'VTK_WRAP_TCL|WHILE|WRITE_FILE|' + # r'COUNTARGS)\b', Name.Builtin, 'args'), + (r'\b(\w+)([ \t]*)(\()', bygroups(Name.Builtin, Text, + Punctuation), 'args'), + include('keywords'), + include('ws') + ], + 'args': [ + (r'\(', Punctuation, '#push'), + (r'\)', Punctuation, '#pop'), + (r'(\$\{)(.+?)(\})', bygroups(Operator, Name.Variable, Operator)), + (r'(\$ENV\{)(.+?)(\})', bygroups(Operator, Name.Variable, Operator)), + (r'(\$<)(.+?)(>)', bygroups(Operator, Name.Variable, Operator)), + (r'(?s)".*?"', String.Double), + (r'\\\S+', String), + (r'[^)$"# \t\n]+', String), + (r'\n', Text), # explicitly legal + include('keywords'), + include('ws') + ], + 'string': [ + + ], + 'keywords': [ + (r'\b(WIN32|UNIX|APPLE|CYGWIN|BORLAND|MINGW|MSVC|MSVC_IDE|MSVC60|' + r'MSVC70|MSVC71|MSVC80|MSVC90)\b', Keyword), + ], + 'ws': [ + (r'[ \t]+', Text), + (r'#.*\n', Comment), + ] + } + + def analyse_text(text): + exp = r'^ *CMAKE_MINIMUM_REQUIRED *\( *VERSION *\d(\.\d)* *( FATAL_ERROR)? *\) *$' + if re.search(exp, text, flags=re.MULTILINE | re.IGNORECASE): + return 0.8 + return 0.0 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/markup.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/markup.py new file mode 100644 index 0000000000000000000000000000000000000000..92dc9e7a6185d7f7cb2f5bcc1e0fcea9242f3a32 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/markup.py @@ -0,0 +1,595 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.markup + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for non-HTML markup languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexers.html import HtmlLexer, XmlLexer +from pygments.lexers.javascript import JavascriptLexer +from pygments.lexers.css import CssLexer + +from pygments.lexer import RegexLexer, DelegatingLexer, include, bygroups, \ + using, this, do_insertions, default, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Generic, Other +from pygments.util import get_bool_opt, ClassNotFound + +__all__ = ['BBCodeLexer', 'MoinWikiLexer', 'RstLexer', 'TexLexer', 'GroffLexer', + 'MozPreprocHashLexer', 'MozPreprocPercentLexer', + 'MozPreprocXulLexer', 'MozPreprocJavascriptLexer', + 'MozPreprocCssLexer', 'MarkdownLexer'] + + +class BBCodeLexer(RegexLexer): + """ + A lexer that highlights BBCode(-like) syntax. + + .. versionadded:: 0.6 + """ + + name = 'BBCode' + aliases = ['bbcode'] + mimetypes = ['text/x-bbcode'] + + tokens = { + 'root': [ + (r'[^[]+', Text), + # tag/end tag begin + (r'\[/?\w+', Keyword, 'tag'), + # stray bracket + (r'\[', Text), + ], + 'tag': [ + (r'\s+', Text), + # attribute with value + (r'(\w+)(=)("?[^\s"\]]+"?)', + bygroups(Name.Attribute, Operator, String)), + # tag argument (a la [color=green]) + (r'(=)("?[^\s"\]]+"?)', + bygroups(Operator, String)), + # tag end + (r'\]', Keyword, '#pop'), + ], + } + + +class MoinWikiLexer(RegexLexer): + """ + For MoinMoin (and Trac) Wiki markup. + + .. versionadded:: 0.7 + """ + + name = 'MoinMoin/Trac Wiki markup' + aliases = ['trac-wiki', 'moin'] + filenames = [] + mimetypes = ['text/x-trac-wiki'] + flags = re.MULTILINE | re.IGNORECASE + + tokens = { + 'root': [ + (r'^#.*$', Comment), + (r'(!)(\S+)', bygroups(Keyword, Text)), # Ignore-next + # Titles + (r'^(=+)([^=]+)(=+)(\s*#.+)?$', + bygroups(Generic.Heading, using(this), Generic.Heading, String)), + # Literal code blocks, with optional shebang + (r'(\{\{\{)(\n#!.+)?', bygroups(Name.Builtin, Name.Namespace), 'codeblock'), + (r'(\'\'\'?|\|\||`|__|~~|\^|,,|::)', Comment), # Formatting + # Lists + (r'^( +)([.*-])( )', bygroups(Text, Name.Builtin, Text)), + (r'^( +)([a-z]{1,5}\.)( )', bygroups(Text, Name.Builtin, Text)), + # Other Formatting + (r'\[\[\w+.*?\]\]', Keyword), # Macro + (r'(\[[^\s\]]+)(\s+[^\]]+?)?(\])', + bygroups(Keyword, String, Keyword)), # Link + (r'^----+$', Keyword), # Horizontal rules + (r'[^\n\'\[{!_~^,|]+', Text), + (r'\n', Text), + (r'.', Text), + ], + 'codeblock': [ + (r'\}\}\}', Name.Builtin, '#pop'), + # these blocks are allowed to be nested in Trac, but not MoinMoin + (r'\{\{\{', Text, '#push'), + (r'[^{}]+', Comment.Preproc), # slurp boring text + (r'.', Comment.Preproc), # allow loose { or } + ], + } + + +class RstLexer(RegexLexer): + """ + For `reStructuredText `_ markup. + + .. versionadded:: 0.7 + + Additional options accepted: + + `handlecodeblocks` + Highlight the contents of ``.. sourcecode:: language``, + ``.. code:: language`` and ``.. code-block:: language`` + directives with a lexer for the given language (default: + ``True``). + + .. versionadded:: 0.8 + """ + name = 'reStructuredText' + aliases = ['rst', 'rest', 'restructuredtext'] + filenames = ['*.rst', '*.rest'] + mimetypes = ["text/x-rst", "text/prs.fallenstein.rst"] + flags = re.MULTILINE + + def _handle_sourcecode(self, match): + from pygments.lexers import get_lexer_by_name + + # section header + yield match.start(1), Punctuation, match.group(1) + yield match.start(2), Text, match.group(2) + yield match.start(3), Operator.Word, match.group(3) + yield match.start(4), Punctuation, match.group(4) + yield match.start(5), Text, match.group(5) + yield match.start(6), Keyword, match.group(6) + yield match.start(7), Text, match.group(7) + + # lookup lexer if wanted and existing + lexer = None + if self.handlecodeblocks: + try: + lexer = get_lexer_by_name(match.group(6).strip()) + except ClassNotFound: + pass + indention = match.group(8) + indention_size = len(indention) + code = (indention + match.group(9) + match.group(10) + match.group(11)) + + # no lexer for this language. handle it like it was a code block + if lexer is None: + yield match.start(8), String, code + return + + # highlight the lines with the lexer. + ins = [] + codelines = code.splitlines(True) + code = '' + for line in codelines: + if len(line) > indention_size: + ins.append((len(code), [(0, Text, line[:indention_size])])) + code += line[indention_size:] + else: + code += line + for item in do_insertions(ins, lexer.get_tokens_unprocessed(code)): + yield item + + # from docutils.parsers.rst.states + closers = u'\'")]}>\u2019\u201d\xbb!?' + unicode_delimiters = u'\u2010\u2011\u2012\u2013\u2014\u00a0' + end_string_suffix = (r'((?=$)|(?=[-/:.,; \n\x00%s%s]))' + % (re.escape(unicode_delimiters), + re.escape(closers))) + + tokens = { + 'root': [ + # Heading with overline + (r'^(=+|-+|`+|:+|\.+|\'+|"+|~+|\^+|_+|\*+|\++|#+)([ \t]*\n)' + r'(.+)(\n)(\1)(\n)', + bygroups(Generic.Heading, Text, Generic.Heading, + Text, Generic.Heading, Text)), + # Plain heading + (r'^(\S.*)(\n)(={3,}|-{3,}|`{3,}|:{3,}|\.{3,}|\'{3,}|"{3,}|' + r'~{3,}|\^{3,}|_{3,}|\*{3,}|\+{3,}|#{3,})(\n)', + bygroups(Generic.Heading, Text, Generic.Heading, Text)), + # Bulleted lists + (r'^(\s*)([-*+])( .+\n(?:\1 .+\n)*)', + bygroups(Text, Number, using(this, state='inline'))), + # Numbered lists + (r'^(\s*)([0-9#ivxlcmIVXLCM]+\.)( .+\n(?:\1 .+\n)*)', + bygroups(Text, Number, using(this, state='inline'))), + (r'^(\s*)(\(?[0-9#ivxlcmIVXLCM]+\))( .+\n(?:\1 .+\n)*)', + bygroups(Text, Number, using(this, state='inline'))), + # Numbered, but keep words at BOL from becoming lists + (r'^(\s*)([A-Z]+\.)( .+\n(?:\1 .+\n)+)', + bygroups(Text, Number, using(this, state='inline'))), + (r'^(\s*)(\(?[A-Za-z]+\))( .+\n(?:\1 .+\n)+)', + bygroups(Text, Number, using(this, state='inline'))), + # Line blocks + (r'^(\s*)(\|)( .+\n(?:\| .+\n)*)', + bygroups(Text, Operator, using(this, state='inline'))), + # Sourcecode directives + (r'^( *\.\.)(\s*)((?:source)?code(?:-block)?)(::)([ \t]*)([^\n]+)' + r'(\n[ \t]*\n)([ \t]+)(.*)(\n)((?:(?:\8.*|)\n)+)', + _handle_sourcecode), + # A directive + (r'^( *\.\.)(\s*)([\w:-]+?)(::)(?:([ \t]*)(.*))', + bygroups(Punctuation, Text, Operator.Word, Punctuation, Text, + using(this, state='inline'))), + # A reference target + (r'^( *\.\.)(\s*)(_(?:[^:\\]|\\.)+:)(.*?)$', + bygroups(Punctuation, Text, Name.Tag, using(this, state='inline'))), + # A footnote/citation target + (r'^( *\.\.)(\s*)(\[.+\])(.*?)$', + bygroups(Punctuation, Text, Name.Tag, using(this, state='inline'))), + # A substitution def + (r'^( *\.\.)(\s*)(\|.+\|)(\s*)([\w:-]+?)(::)(?:([ \t]*)(.*))', + bygroups(Punctuation, Text, Name.Tag, Text, Operator.Word, + Punctuation, Text, using(this, state='inline'))), + # Comments + (r'^ *\.\..*(\n( +.*\n|\n)+)?', Comment.Preproc), + # Field list + (r'^( *)(:[a-zA-Z-]+:)(\s*)$', bygroups(Text, Name.Class, Text)), + (r'^( *)(:.*?:)([ \t]+)(.*?)$', + bygroups(Text, Name.Class, Text, Name.Function)), + # Definition list + (r'^(\S.*(?)(`__?)', # reference with inline target + bygroups(String, String.Interpol, String)), + (r'`.+?`__?', String), # reference + (r'(`.+?`)(:[a-zA-Z0-9:-]+?:)?', + bygroups(Name.Variable, Name.Attribute)), # role + (r'(:[a-zA-Z0-9:-]+?:)(`.+?`)', + bygroups(Name.Attribute, Name.Variable)), # role (content first) + (r'\*\*.+?\*\*', Generic.Strong), # Strong emphasis + (r'\*.+?\*', Generic.Emph), # Emphasis + (r'\[.*?\]_', String), # Footnote or citation + (r'<.+?>', Name.Tag), # Hyperlink + (r'[^\\\n\[*`:]+', Text), + (r'.', Text), + ], + 'literal': [ + (r'[^`]+', String), + (r'``' + end_string_suffix, String, '#pop'), + (r'`', String), + ] + } + + def __init__(self, **options): + self.handlecodeblocks = get_bool_opt(options, 'handlecodeblocks', True) + RegexLexer.__init__(self, **options) + + def analyse_text(text): + if text[:2] == '..' and text[2:3] != '.': + return 0.3 + p1 = text.find("\n") + p2 = text.find("\n", p1 + 1) + if (p2 > -1 and # has two lines + p1 * 2 + 1 == p2 and # they are the same length + text[p1+1] in '-=' and # the next line both starts and ends with + text[p1+1] == text[p2-1]): # ...a sufficiently high header + return 0.5 + + +class TexLexer(RegexLexer): + """ + Lexer for the TeX and LaTeX typesetting languages. + """ + + name = 'TeX' + aliases = ['tex', 'latex'] + filenames = ['*.tex', '*.aux', '*.toc'] + mimetypes = ['text/x-tex', 'text/x-latex'] + + tokens = { + 'general': [ + (r'%.*?\n', Comment), + (r'[{}]', Name.Builtin), + (r'[&_^]', Name.Builtin), + ], + 'root': [ + (r'\\\[', String.Backtick, 'displaymath'), + (r'\\\(', String, 'inlinemath'), + (r'\$\$', String.Backtick, 'displaymath'), + (r'\$', String, 'inlinemath'), + (r'\\([a-zA-Z]+|.)', Keyword, 'command'), + (r'\\$', Keyword), + include('general'), + (r'[^\\$%&_^{}]+', Text), + ], + 'math': [ + (r'\\([a-zA-Z]+|.)', Name.Variable), + include('general'), + (r'[0-9]+', Number), + (r'[-=!+*/()\[\]]', Operator), + (r'[^=!+*/()\[\]\\$%&_^{}0-9-]+', Name.Builtin), + ], + 'inlinemath': [ + (r'\\\)', String, '#pop'), + (r'\$', String, '#pop'), + include('math'), + ], + 'displaymath': [ + (r'\\\]', String, '#pop'), + (r'\$\$', String, '#pop'), + (r'\$', Name.Builtin), + include('math'), + ], + 'command': [ + (r'\[.*?\]', Name.Attribute), + (r'\*', Keyword), + default('#pop'), + ], + } + + def analyse_text(text): + for start in ("\\documentclass", "\\input", "\\documentstyle", + "\\relax"): + if text[:len(start)] == start: + return True + + +class GroffLexer(RegexLexer): + """ + Lexer for the (g)roff typesetting language, supporting groff + extensions. Mainly useful for highlighting manpage sources. + + .. versionadded:: 0.6 + """ + + name = 'Groff' + aliases = ['groff', 'nroff', 'man'] + filenames = ['*.[1234567]', '*.man'] + mimetypes = ['application/x-troff', 'text/troff'] + + tokens = { + 'root': [ + (r'(\.)(\w+)', bygroups(Text, Keyword), 'request'), + (r'\.', Punctuation, 'request'), + # Regular characters, slurp till we find a backslash or newline + (r'[^\\\n]+', Text, 'textline'), + default('textline'), + ], + 'textline': [ + include('escapes'), + (r'[^\\\n]+', Text), + (r'\n', Text, '#pop'), + ], + 'escapes': [ + # groff has many ways to write escapes. + (r'\\"[^\n]*', Comment), + (r'\\[fn]\w', String.Escape), + (r'\\\(.{2}', String.Escape), + (r'\\.\[.*\]', String.Escape), + (r'\\.', String.Escape), + (r'\\\n', Text, 'request'), + ], + 'request': [ + (r'\n', Text, '#pop'), + include('escapes'), + (r'"[^\n"]+"', String.Double), + (r'\d+', Number), + (r'\S+', String), + (r'\s+', Text), + ], + } + + def analyse_text(text): + if text[:1] != '.': + return False + if text[:3] == '.\\"': + return True + if text[:4] == '.TH ': + return True + if text[1:3].isalnum() and text[3].isspace(): + return 0.9 + + +class MozPreprocHashLexer(RegexLexer): + """ + Lexer for Mozilla Preprocessor files (with '#' as the marker). + + Other data is left untouched. + + .. versionadded:: 2.0 + """ + name = 'mozhashpreproc' + aliases = [name] + filenames = [] + mimetypes = [] + + tokens = { + 'root': [ + (r'^#', Comment.Preproc, ('expr', 'exprstart')), + (r'.+', Other), + ], + 'exprstart': [ + (r'(literal)(.*)', bygroups(Comment.Preproc, Text), '#pop:2'), + (words(( + 'define', 'undef', 'if', 'ifdef', 'ifndef', 'else', 'elif', + 'elifdef', 'elifndef', 'endif', 'expand', 'filter', 'unfilter', + 'include', 'includesubst', 'error')), + Comment.Preproc, '#pop'), + ], + 'expr': [ + (words(('!', '!=', '==', '&&', '||')), Operator), + (r'(defined)(\()', bygroups(Keyword, Punctuation)), + (r'\)', Punctuation), + (r'[0-9]+', Number.Decimal), + (r'__\w+?__', Name.Variable), + (r'@\w+?@', Name.Class), + (r'\w+', Name), + (r'\n', Text, '#pop'), + (r'\s+', Text), + (r'\S', Punctuation), + ], + } + + +class MozPreprocPercentLexer(MozPreprocHashLexer): + """ + Lexer for Mozilla Preprocessor files (with '%' as the marker). + + Other data is left untouched. + + .. versionadded:: 2.0 + """ + name = 'mozpercentpreproc' + aliases = [name] + filenames = [] + mimetypes = [] + + tokens = { + 'root': [ + (r'^%', Comment.Preproc, ('expr', 'exprstart')), + (r'.+', Other), + ], + } + + +class MozPreprocXulLexer(DelegatingLexer): + """ + Subclass of the `MozPreprocHashLexer` that highlights unlexed data with the + `XmlLexer`. + + .. versionadded:: 2.0 + """ + name = "XUL+mozpreproc" + aliases = ['xul+mozpreproc'] + filenames = ['*.xul.in'] + mimetypes = [] + + def __init__(self, **options): + super(MozPreprocXulLexer, self).__init__( + XmlLexer, MozPreprocHashLexer, **options) + + +class MozPreprocJavascriptLexer(DelegatingLexer): + """ + Subclass of the `MozPreprocHashLexer` that highlights unlexed data with the + `JavascriptLexer`. + + .. versionadded:: 2.0 + """ + name = "Javascript+mozpreproc" + aliases = ['javascript+mozpreproc'] + filenames = ['*.js.in'] + mimetypes = [] + + def __init__(self, **options): + super(MozPreprocJavascriptLexer, self).__init__( + JavascriptLexer, MozPreprocHashLexer, **options) + + +class MozPreprocCssLexer(DelegatingLexer): + """ + Subclass of the `MozPreprocHashLexer` that highlights unlexed data with the + `CssLexer`. + + .. versionadded:: 2.0 + """ + name = "CSS+mozpreproc" + aliases = ['css+mozpreproc'] + filenames = ['*.css.in'] + mimetypes = [] + + def __init__(self, **options): + super(MozPreprocCssLexer, self).__init__( + CssLexer, MozPreprocPercentLexer, **options) + + +class MarkdownLexer(RegexLexer): + """ + For `Markdown `_ markup. + + .. versionadded:: 2.2 + """ + name = 'markdown' + aliases = ['md'] + filenames = ['*.md'] + mimetypes = ["text/x-markdown"] + flags = re.MULTILINE + + def _handle_codeblock(self, match): + """ + match args: 1:backticks, 2:lang_name, 3:newline, 4:code, 5:backticks + """ + from pygments.lexers import get_lexer_by_name + + # section header + yield match.start(1), String , match.group(1) + yield match.start(2), String , match.group(2) + yield match.start(3), Text , match.group(3) + + # lookup lexer if wanted and existing + lexer = None + if self.handlecodeblocks: + try: + lexer = get_lexer_by_name( match.group(2).strip() ) + except ClassNotFound: + pass + code = match.group(4) + + # no lexer for this language. handle it like it was a code block + if lexer is None: + yield match.start(4), String, code + return + + for item in do_insertions([], lexer.get_tokens_unprocessed(code)): + yield item + + yield match.start(5), String , match.group(5) + + tokens = { + 'root': [ + # heading with pound prefix + (r'^(#)([^#].+\n)', bygroups(Generic.Heading, Text)), + (r'^(#{2,6})(.+\n)', bygroups(Generic.Subheading, Text)), + # task list + (r'^(\s*)([*-] )(\[[ xX]\])( .+\n)', + bygroups(Text, Keyword, Keyword, using(this, state='inline'))), + # bulleted lists + (r'^(\s*)([*-])(\s)(.+\n)', + bygroups(Text, Keyword, Text, using(this, state='inline'))), + # numbered lists + (r'^(\s*)([0-9]+\.)( .+\n)', + bygroups(Text, Keyword, using(this, state='inline'))), + # quote + (r'^(\s*>\s)(.+\n)', bygroups(Keyword, Generic.Emph)), + # text block + (r'^(```\n)([\w\W]*?)(^```$)', bygroups(String, Text, String)), + # code block with language + (r'^(```)(\w+)(\n)([\w\W]*?)(^```$)', _handle_codeblock), + + include('inline'), + ], + 'inline': [ + # escape + (r'\\.', Text), + # italics + (r'(\s)([*_][^*_]+[*_])(\W|\n)', bygroups(Text, Generic.Emph, Text)), + # bold + # warning: the following rule eats internal tags. eg. **foo _bar_ baz** bar is not italics + (r'(\s)((\*\*|__).*\3)((?=\W|\n))', bygroups(Text, Generic.Strong, None, Text)), + # "proper way" (r'(\s)([*_]{2}[^*_]+[*_]{2})((?=\W|\n))', bygroups(Text, Generic.Strong, Text)), + # strikethrough + (r'(\s)(~~[^~]+~~)((?=\W|\n))', bygroups(Text, Generic.Deleted, Text)), + # inline code + (r'`[^`]+`', String.Backtick), + # mentions and topics (twitter and github stuff) + (r'[@#][\w/:]+', Name.Entity), + # (image?) links eg: ![Image of Yaktocat](https://octodex.github.com/images/yaktocat.png) + (r'(!?\[)([^]]+)(\])(\()([^)]+)(\))', bygroups(Text, Name.Tag, Text, Text, Name.Attribute, Text)), + + # general text, must come last! + (r'[^\\\s]+', Text), + (r'.', Text), + ], + } + + def __init__(self, **options): + self.handlecodeblocks = get_bool_opt(options, 'handlecodeblocks', True) + RegexLexer.__init__(self, **options) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/math.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/math.py new file mode 100644 index 0000000000000000000000000000000000000000..ea0ebee2a777da643726fc943f2ba52d3691760a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/math.py @@ -0,0 +1,21 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.math + ~~~~~~~~~~~~~~~~~~~~ + + Just export lexers that were contained in this module. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexers.python import NumPyLexer +from pygments.lexers.matlab import MatlabLexer, MatlabSessionLexer, \ + OctaveLexer, ScilabLexer +from pygments.lexers.julia import JuliaLexer, JuliaConsoleLexer +from pygments.lexers.r import RConsoleLexer, SLexer, RdLexer +from pygments.lexers.modeling import BugsLexer, JagsLexer, StanLexer +from pygments.lexers.idl import IDLLexer +from pygments.lexers.algebra import MuPADLexer + +__all__ = [] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/matlab.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/matlab.py new file mode 100644 index 0000000000000000000000000000000000000000..56a0f6d6d1d6489b42eae1cebd46ba16b2e2b3ef --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/matlab.py @@ -0,0 +1,663 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.matlab + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Matlab and related languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, bygroups, words, do_insertions +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Generic, Whitespace + +from pygments.lexers import _scilab_builtins + +__all__ = ['MatlabLexer', 'MatlabSessionLexer', 'OctaveLexer', 'ScilabLexer'] + + +class MatlabLexer(RegexLexer): + """ + For Matlab source code. + + .. versionadded:: 0.10 + """ + name = 'Matlab' + aliases = ['matlab'] + filenames = ['*.m'] + mimetypes = ['text/matlab'] + + # + # These lists are generated automatically. + # Run the following in bash shell: + # + # for f in elfun specfun elmat; do + # echo -n "$f = " + # matlab -nojvm -r "help $f;exit;" | perl -ne \ + # 'push(@c,$1) if /^ (\w+)\s+-/; END {print q{["}.join(q{","},@c).qq{"]\n};}' + # done + # + # elfun: Elementary math functions + # specfun: Special Math functions + # elmat: Elementary matrices and matrix manipulation + # + # taken from Matlab version 7.4.0.336 (R2007a) + # + elfun = ("sin", "sind", "sinh", "asin", "asind", "asinh", "cos", "cosd", "cosh", + "acos", "acosd", "acosh", "tan", "tand", "tanh", "atan", "atand", "atan2", + "atanh", "sec", "secd", "sech", "asec", "asecd", "asech", "csc", "cscd", + "csch", "acsc", "acscd", "acsch", "cot", "cotd", "coth", "acot", "acotd", + "acoth", "hypot", "exp", "expm1", "log", "log1p", "log10", "log2", "pow2", + "realpow", "reallog", "realsqrt", "sqrt", "nthroot", "nextpow2", "abs", + "angle", "complex", "conj", "imag", "real", "unwrap", "isreal", "cplxpair", + "fix", "floor", "ceil", "round", "mod", "rem", "sign") + specfun = ("airy", "besselj", "bessely", "besselh", "besseli", "besselk", "beta", + "betainc", "betaln", "ellipj", "ellipke", "erf", "erfc", "erfcx", + "erfinv", "expint", "gamma", "gammainc", "gammaln", "psi", "legendre", + "cross", "dot", "factor", "isprime", "primes", "gcd", "lcm", "rat", + "rats", "perms", "nchoosek", "factorial", "cart2sph", "cart2pol", + "pol2cart", "sph2cart", "hsv2rgb", "rgb2hsv") + elmat = ("zeros", "ones", "eye", "repmat", "rand", "randn", "linspace", "logspace", + "freqspace", "meshgrid", "accumarray", "size", "length", "ndims", "numel", + "disp", "isempty", "isequal", "isequalwithequalnans", "cat", "reshape", + "diag", "blkdiag", "tril", "triu", "fliplr", "flipud", "flipdim", "rot90", + "find", "end", "sub2ind", "ind2sub", "bsxfun", "ndgrid", "permute", + "ipermute", "shiftdim", "circshift", "squeeze", "isscalar", "isvector", + "ans", "eps", "realmax", "realmin", "pi", "i", "inf", "nan", "isnan", + "isinf", "isfinite", "j", "why", "compan", "gallery", "hadamard", "hankel", + "hilb", "invhilb", "magic", "pascal", "rosser", "toeplitz", "vander", + "wilkinson") + + tokens = { + 'root': [ + # line starting with '!' is sent as a system command. not sure what + # label to use... + (r'^!.*', String.Other), + (r'%\{\s*\n', Comment.Multiline, 'blockcomment'), + (r'%.*$', Comment), + (r'^\s*function', Keyword, 'deffunc'), + + # from 'iskeyword' on version 7.11 (R2010): + (words(( + 'break', 'case', 'catch', 'classdef', 'continue', 'else', 'elseif', + 'end', 'enumerated', 'events', 'for', 'function', 'global', 'if', + 'methods', 'otherwise', 'parfor', 'persistent', 'properties', + 'return', 'spmd', 'switch', 'try', 'while'), suffix=r'\b'), + Keyword), + + ("(" + "|".join(elfun + specfun + elmat) + r')\b', Name.Builtin), + + # line continuation with following comment: + (r'\.\.\..*$', Comment), + + # operators: + (r'-|==|~=|<|>|<=|>=|&&|&|~|\|\|?', Operator), + # operators requiring escape for re: + (r'\.\*|\*|\+|\.\^|\.\\|\.\/|\/|\\', Operator), + + # punctuation: + (r'\[|\]|\(|\)|\{|\}|:|@|\.|,', Punctuation), + (r'=|:|;', Punctuation), + + # quote can be transpose, instead of string: + # (not great, but handles common cases...) + (r'(?<=[\w)\].])\'+', Operator), + + (r'(\d+\.\d*|\d*\.\d+)([eEf][+-]?[0-9]+)?', Number.Float), + (r'\d+[eEf][+-]?[0-9]+', Number.Float), + (r'\d+', Number.Integer), + + (r'(?. + + .. versionadded:: 0.10 + """ + name = 'Matlab session' + aliases = ['matlabsession'] + + def get_tokens_unprocessed(self, text): + mlexer = MatlabLexer(**self.options) + + curcode = '' + insertions = [] + + for match in line_re.finditer(text): + line = match.group() + + if line.startswith('>> '): + insertions.append((len(curcode), + [(0, Generic.Prompt, line[:3])])) + curcode += line[3:] + + elif line.startswith('>>'): + insertions.append((len(curcode), + [(0, Generic.Prompt, line[:2])])) + curcode += line[2:] + + elif line.startswith('???'): + + idx = len(curcode) + + # without is showing error on same line as before...? + # line = "\n" + line + token = (0, Generic.Traceback, line) + insertions.append((idx, [token])) + + else: + if curcode: + for item in do_insertions( + insertions, mlexer.get_tokens_unprocessed(curcode)): + yield item + curcode = '' + insertions = [] + + yield match.start(), Generic.Output, line + + if curcode: # or item: + for item in do_insertions( + insertions, mlexer.get_tokens_unprocessed(curcode)): + yield item + + +class OctaveLexer(RegexLexer): + """ + For GNU Octave source code. + + .. versionadded:: 1.5 + """ + name = 'Octave' + aliases = ['octave'] + filenames = ['*.m'] + mimetypes = ['text/octave'] + + # These lists are generated automatically. + # Run the following in bash shell: + # + # First dump all of the Octave manual into a plain text file: + # + # $ info octave --subnodes -o octave-manual + # + # Now grep through it: + + # for i in \ + # "Built-in Function" "Command" "Function File" \ + # "Loadable Function" "Mapping Function"; + # do + # perl -e '@name = qw('"$i"'); + # print lc($name[0]),"_kw = [\n"'; + # + # perl -n -e 'print "\"$1\",\n" if /-- '"$i"': .* (\w*) \(/;' \ + # octave-manual | sort | uniq ; + # echo "]" ; + # echo; + # done + + # taken from Octave Mercurial changeset 8cc154f45e37 (30-jan-2011) + + builtin_kw = ( + "addlistener", "addpath", "addproperty", "all", + "and", "any", "argnames", "argv", "assignin", + "atexit", "autoload", + "available_graphics_toolkits", "beep_on_error", + "bitand", "bitmax", "bitor", "bitshift", "bitxor", + "cat", "cell", "cellstr", "char", "class", "clc", + "columns", "command_line_path", + "completion_append_char", "completion_matches", + "complex", "confirm_recursive_rmdir", "cputime", + "crash_dumps_octave_core", "ctranspose", "cumprod", + "cumsum", "debug_on_error", "debug_on_interrupt", + "debug_on_warning", "default_save_options", + "dellistener", "diag", "diff", "disp", + "doc_cache_file", "do_string_escapes", "double", + "drawnow", "e", "echo_executing_commands", "eps", + "eq", "errno", "errno_list", "error", "eval", + "evalin", "exec", "exist", "exit", "eye", "false", + "fclear", "fclose", "fcntl", "fdisp", "feof", + "ferror", "feval", "fflush", "fgetl", "fgets", + "fieldnames", "file_in_loadpath", "file_in_path", + "filemarker", "filesep", "find_dir_in_path", + "fixed_point_format", "fnmatch", "fopen", "fork", + "formula", "fprintf", "fputs", "fread", "freport", + "frewind", "fscanf", "fseek", "fskipl", "ftell", + "functions", "fwrite", "ge", "genpath", "get", + "getegid", "getenv", "geteuid", "getgid", + "getpgrp", "getpid", "getppid", "getuid", "glob", + "gt", "gui_mode", "history_control", + "history_file", "history_size", + "history_timestamp_format_string", "home", + "horzcat", "hypot", "ifelse", + "ignore_function_time_stamp", "inferiorto", + "info_file", "info_program", "inline", "input", + "intmax", "intmin", "ipermute", + "is_absolute_filename", "isargout", "isbool", + "iscell", "iscellstr", "ischar", "iscomplex", + "isempty", "isfield", "isfloat", "isglobal", + "ishandle", "isieee", "isindex", "isinteger", + "islogical", "ismatrix", "ismethod", "isnull", + "isnumeric", "isobject", "isreal", + "is_rooted_relative_filename", "issorted", + "isstruct", "isvarname", "kbhit", "keyboard", + "kill", "lasterr", "lasterror", "lastwarn", + "ldivide", "le", "length", "link", "linspace", + "logical", "lstat", "lt", "make_absolute_filename", + "makeinfo_program", "max_recursion_depth", "merge", + "methods", "mfilename", "minus", "mislocked", + "mkdir", "mkfifo", "mkstemp", "mldivide", "mlock", + "mouse_wheel_zoom", "mpower", "mrdivide", "mtimes", + "munlock", "nargin", "nargout", + "native_float_format", "ndims", "ne", "nfields", + "nnz", "norm", "not", "numel", "nzmax", + "octave_config_info", "octave_core_file_limit", + "octave_core_file_name", + "octave_core_file_options", "ones", "or", + "output_max_field_width", "output_precision", + "page_output_immediately", "page_screen_output", + "path", "pathsep", "pause", "pclose", "permute", + "pi", "pipe", "plus", "popen", "power", + "print_empty_dimensions", "printf", + "print_struct_array_contents", "prod", + "program_invocation_name", "program_name", + "putenv", "puts", "pwd", "quit", "rats", "rdivide", + "readdir", "readlink", "read_readline_init_file", + "realmax", "realmin", "rehash", "rename", + "repelems", "re_read_readline_init_file", "reset", + "reshape", "resize", "restoredefaultpath", + "rethrow", "rmdir", "rmfield", "rmpath", "rows", + "save_header_format_string", "save_precision", + "saving_history", "scanf", "set", "setenv", + "shell_cmd", "sighup_dumps_octave_core", + "sigterm_dumps_octave_core", "silent_functions", + "single", "size", "size_equal", "sizemax", + "sizeof", "sleep", "source", "sparse_auto_mutate", + "split_long_rows", "sprintf", "squeeze", "sscanf", + "stat", "stderr", "stdin", "stdout", "strcmp", + "strcmpi", "string_fill_char", "strncmp", + "strncmpi", "struct", "struct_levels_to_print", + "strvcat", "subsasgn", "subsref", "sum", "sumsq", + "superiorto", "suppress_verbose_help_message", + "symlink", "system", "tic", "tilde_expand", + "times", "tmpfile", "tmpnam", "toc", "toupper", + "transpose", "true", "typeinfo", "umask", "uminus", + "uname", "undo_string_escapes", "unlink", "uplus", + "upper", "usage", "usleep", "vec", "vectorize", + "vertcat", "waitpid", "warning", "warranty", + "whos_line_format", "yes_or_no", "zeros", + "inf", "Inf", "nan", "NaN") + + command_kw = ("close", "load", "who", "whos") + + function_kw = ( + "accumarray", "accumdim", "acosd", "acotd", + "acscd", "addtodate", "allchild", "ancestor", + "anova", "arch_fit", "arch_rnd", "arch_test", + "area", "arma_rnd", "arrayfun", "ascii", "asctime", + "asecd", "asind", "assert", "atand", + "autoreg_matrix", "autumn", "axes", "axis", "bar", + "barh", "bartlett", "bartlett_test", "beep", + "betacdf", "betainv", "betapdf", "betarnd", + "bicgstab", "bicubic", "binary", "binocdf", + "binoinv", "binopdf", "binornd", "bitcmp", + "bitget", "bitset", "blackman", "blanks", + "blkdiag", "bone", "box", "brighten", "calendar", + "cast", "cauchy_cdf", "cauchy_inv", "cauchy_pdf", + "cauchy_rnd", "caxis", "celldisp", "center", "cgs", + "chisquare_test_homogeneity", + "chisquare_test_independence", "circshift", "cla", + "clabel", "clf", "clock", "cloglog", "closereq", + "colon", "colorbar", "colormap", "colperm", + "comet", "common_size", "commutation_matrix", + "compan", "compare_versions", "compass", + "computer", "cond", "condest", "contour", + "contourc", "contourf", "contrast", "conv", + "convhull", "cool", "copper", "copyfile", "cor", + "corrcoef", "cor_test", "cosd", "cotd", "cov", + "cplxpair", "cross", "cscd", "cstrcat", "csvread", + "csvwrite", "ctime", "cumtrapz", "curl", "cut", + "cylinder", "date", "datenum", "datestr", + "datetick", "datevec", "dblquad", "deal", + "deblank", "deconv", "delaunay", "delaunayn", + "delete", "demo", "detrend", "diffpara", "diffuse", + "dir", "discrete_cdf", "discrete_inv", + "discrete_pdf", "discrete_rnd", "display", + "divergence", "dlmwrite", "dos", "dsearch", + "dsearchn", "duplication_matrix", "durbinlevinson", + "ellipsoid", "empirical_cdf", "empirical_inv", + "empirical_pdf", "empirical_rnd", "eomday", + "errorbar", "etime", "etreeplot", "example", + "expcdf", "expinv", "expm", "exppdf", "exprnd", + "ezcontour", "ezcontourf", "ezmesh", "ezmeshc", + "ezplot", "ezpolar", "ezsurf", "ezsurfc", "factor", + "factorial", "fail", "fcdf", "feather", "fftconv", + "fftfilt", "fftshift", "figure", "fileattrib", + "fileparts", "fill", "findall", "findobj", + "findstr", "finv", "flag", "flipdim", "fliplr", + "flipud", "fpdf", "fplot", "fractdiff", "freqz", + "freqz_plot", "frnd", "fsolve", + "f_test_regression", "ftp", "fullfile", "fzero", + "gamcdf", "gaminv", "gampdf", "gamrnd", "gca", + "gcbf", "gcbo", "gcf", "genvarname", "geocdf", + "geoinv", "geopdf", "geornd", "getfield", "ginput", + "glpk", "gls", "gplot", "gradient", + "graphics_toolkit", "gray", "grid", "griddata", + "griddatan", "gtext", "gunzip", "gzip", "hadamard", + "hamming", "hankel", "hanning", "hggroup", + "hidden", "hilb", "hist", "histc", "hold", "hot", + "hotelling_test", "housh", "hsv", "hurst", + "hygecdf", "hygeinv", "hygepdf", "hygernd", + "idivide", "ifftshift", "image", "imagesc", + "imfinfo", "imread", "imshow", "imwrite", "index", + "info", "inpolygon", "inputname", "interpft", + "interpn", "intersect", "invhilb", "iqr", "isa", + "isdefinite", "isdir", "is_duplicate_entry", + "isequal", "isequalwithequalnans", "isfigure", + "ishermitian", "ishghandle", "is_leap_year", + "isletter", "ismac", "ismember", "ispc", "isprime", + "isprop", "isscalar", "issquare", "isstrprop", + "issymmetric", "isunix", "is_valid_file_id", + "isvector", "jet", "kendall", + "kolmogorov_smirnov_cdf", + "kolmogorov_smirnov_test", "kruskal_wallis_test", + "krylov", "kurtosis", "laplace_cdf", "laplace_inv", + "laplace_pdf", "laplace_rnd", "legend", "legendre", + "license", "line", "linkprop", "list_primes", + "loadaudio", "loadobj", "logistic_cdf", + "logistic_inv", "logistic_pdf", "logistic_rnd", + "logit", "loglog", "loglogerr", "logm", "logncdf", + "logninv", "lognpdf", "lognrnd", "logspace", + "lookfor", "ls_command", "lsqnonneg", "magic", + "mahalanobis", "manova", "matlabroot", + "mcnemar_test", "mean", "meansq", "median", "menu", + "mesh", "meshc", "meshgrid", "meshz", "mexext", + "mget", "mkpp", "mode", "moment", "movefile", + "mpoles", "mput", "namelengthmax", "nargchk", + "nargoutchk", "nbincdf", "nbininv", "nbinpdf", + "nbinrnd", "nchoosek", "ndgrid", "newplot", "news", + "nonzeros", "normcdf", "normest", "norminv", + "normpdf", "normrnd", "now", "nthroot", "null", + "ocean", "ols", "onenormest", "optimget", + "optimset", "orderfields", "orient", "orth", + "pack", "pareto", "parseparams", "pascal", "patch", + "pathdef", "pcg", "pchip", "pcolor", "pcr", + "peaks", "periodogram", "perl", "perms", "pie", + "pink", "planerot", "playaudio", "plot", + "plotmatrix", "plotyy", "poisscdf", "poissinv", + "poisspdf", "poissrnd", "polar", "poly", + "polyaffine", "polyarea", "polyderiv", "polyfit", + "polygcd", "polyint", "polyout", "polyreduce", + "polyval", "polyvalm", "postpad", "powerset", + "ppder", "ppint", "ppjumps", "ppplot", "ppval", + "pqpnonneg", "prepad", "primes", "print", + "print_usage", "prism", "probit", "qp", "qqplot", + "quadcc", "quadgk", "quadl", "quadv", "quiver", + "qzhess", "rainbow", "randi", "range", "rank", + "ranks", "rat", "reallog", "realpow", "realsqrt", + "record", "rectangle_lw", "rectangle_sw", + "rectint", "refresh", "refreshdata", + "regexptranslate", "repmat", "residue", "ribbon", + "rindex", "roots", "rose", "rosser", "rotdim", + "rref", "run", "run_count", "rundemos", "run_test", + "runtests", "saveas", "saveaudio", "saveobj", + "savepath", "scatter", "secd", "semilogx", + "semilogxerr", "semilogy", "semilogyerr", + "setaudio", "setdiff", "setfield", "setxor", + "shading", "shift", "shiftdim", "sign_test", + "sinc", "sind", "sinetone", "sinewave", "skewness", + "slice", "sombrero", "sortrows", "spaugment", + "spconvert", "spdiags", "spearman", "spectral_adf", + "spectral_xdf", "specular", "speed", "spencer", + "speye", "spfun", "sphere", "spinmap", "spline", + "spones", "sprand", "sprandn", "sprandsym", + "spring", "spstats", "spy", "sqp", "stairs", + "statistics", "std", "stdnormal_cdf", + "stdnormal_inv", "stdnormal_pdf", "stdnormal_rnd", + "stem", "stft", "strcat", "strchr", "strjust", + "strmatch", "strread", "strsplit", "strtok", + "strtrim", "strtrunc", "structfun", "studentize", + "subplot", "subsindex", "subspace", "substr", + "substruct", "summer", "surf", "surface", "surfc", + "surfl", "surfnorm", "svds", "swapbytes", + "sylvester_matrix", "symvar", "synthesis", "table", + "tand", "tar", "tcdf", "tempdir", "tempname", + "test", "text", "textread", "textscan", "tinv", + "title", "toeplitz", "tpdf", "trace", "trapz", + "treelayout", "treeplot", "triangle_lw", + "triangle_sw", "tril", "trimesh", "triplequad", + "triplot", "trisurf", "triu", "trnd", "tsearchn", + "t_test", "t_test_regression", "type", "unidcdf", + "unidinv", "unidpdf", "unidrnd", "unifcdf", + "unifinv", "unifpdf", "unifrnd", "union", "unique", + "unix", "unmkpp", "unpack", "untabify", "untar", + "unwrap", "unzip", "u_test", "validatestring", + "vander", "var", "var_test", "vech", "ver", + "version", "view", "voronoi", "voronoin", + "waitforbuttonpress", "wavread", "wavwrite", + "wblcdf", "wblinv", "wblpdf", "wblrnd", "weekday", + "welch_test", "what", "white", "whitebg", + "wienrnd", "wilcoxon_test", "wilkinson", "winter", + "xlabel", "xlim", "ylabel", "yulewalker", "zip", + "zlabel", "z_test") + + loadable_kw = ( + "airy", "amd", "balance", "besselh", "besseli", + "besselj", "besselk", "bessely", "bitpack", + "bsxfun", "builtin", "ccolamd", "cellfun", + "cellslices", "chol", "choldelete", "cholinsert", + "cholinv", "cholshift", "cholupdate", "colamd", + "colloc", "convhulln", "convn", "csymamd", + "cummax", "cummin", "daspk", "daspk_options", + "dasrt", "dasrt_options", "dassl", "dassl_options", + "dbclear", "dbdown", "dbstack", "dbstatus", + "dbstop", "dbtype", "dbup", "dbwhere", "det", + "dlmread", "dmperm", "dot", "eig", "eigs", + "endgrent", "endpwent", "etree", "fft", "fftn", + "fftw", "filter", "find", "full", "gcd", + "getgrent", "getgrgid", "getgrnam", "getpwent", + "getpwnam", "getpwuid", "getrusage", "givens", + "gmtime", "gnuplot_binary", "hess", "ifft", + "ifftn", "inv", "isdebugmode", "issparse", "kron", + "localtime", "lookup", "lsode", "lsode_options", + "lu", "luinc", "luupdate", "matrix_type", "max", + "min", "mktime", "pinv", "qr", "qrdelete", + "qrinsert", "qrshift", "qrupdate", "quad", + "quad_options", "qz", "rand", "rande", "randg", + "randn", "randp", "randperm", "rcond", "regexp", + "regexpi", "regexprep", "schur", "setgrent", + "setpwent", "sort", "spalloc", "sparse", "spparms", + "sprank", "sqrtm", "strfind", "strftime", + "strptime", "strrep", "svd", "svd_driver", "syl", + "symamd", "symbfact", "symrcm", "time", "tsearch", + "typecast", "urlread", "urlwrite") + + mapping_kw = ( + "abs", "acos", "acosh", "acot", "acoth", "acsc", + "acsch", "angle", "arg", "asec", "asech", "asin", + "asinh", "atan", "atanh", "beta", "betainc", + "betaln", "bincoeff", "cbrt", "ceil", "conj", "cos", + "cosh", "cot", "coth", "csc", "csch", "erf", "erfc", + "erfcx", "erfinv", "exp", "finite", "fix", "floor", + "fmod", "gamma", "gammainc", "gammaln", "imag", + "isalnum", "isalpha", "isascii", "iscntrl", + "isdigit", "isfinite", "isgraph", "isinf", + "islower", "isna", "isnan", "isprint", "ispunct", + "isspace", "isupper", "isxdigit", "lcm", "lgamma", + "log", "lower", "mod", "real", "rem", "round", + "roundb", "sec", "sech", "sign", "sin", "sinh", + "sqrt", "tan", "tanh", "toascii", "tolower", "xor") + + builtin_consts = ( + "EDITOR", "EXEC_PATH", "I", "IMAGE_PATH", "NA", + "OCTAVE_HOME", "OCTAVE_VERSION", "PAGER", + "PAGER_FLAGS", "SEEK_CUR", "SEEK_END", "SEEK_SET", + "SIG", "S_ISBLK", "S_ISCHR", "S_ISDIR", "S_ISFIFO", + "S_ISLNK", "S_ISREG", "S_ISSOCK", "WCONTINUE", + "WCOREDUMP", "WEXITSTATUS", "WIFCONTINUED", + "WIFEXITED", "WIFSIGNALED", "WIFSTOPPED", "WNOHANG", + "WSTOPSIG", "WTERMSIG", "WUNTRACED") + + tokens = { + 'root': [ + # We should look into multiline comments + (r'[%#].*$', Comment), + (r'^\s*function', Keyword, 'deffunc'), + + # from 'iskeyword' on hg changeset 8cc154f45e37 + (words(( + '__FILE__', '__LINE__', 'break', 'case', 'catch', 'classdef', 'continue', 'do', 'else', + 'elseif', 'end', 'end_try_catch', 'end_unwind_protect', 'endclassdef', + 'endevents', 'endfor', 'endfunction', 'endif', 'endmethods', 'endproperties', + 'endswitch', 'endwhile', 'events', 'for', 'function', 'get', 'global', 'if', 'methods', + 'otherwise', 'persistent', 'properties', 'return', 'set', 'static', 'switch', 'try', + 'until', 'unwind_protect', 'unwind_protect_cleanup', 'while'), suffix=r'\b'), + Keyword), + + (words(builtin_kw + command_kw + function_kw + loadable_kw + mapping_kw, + suffix=r'\b'), Name.Builtin), + + (words(builtin_consts, suffix=r'\b'), Name.Constant), + + # operators in Octave but not Matlab: + (r'-=|!=|!|/=|--', Operator), + # operators: + (r'-|==|~=|<|>|<=|>=|&&|&|~|\|\|?', Operator), + # operators in Octave but not Matlab requiring escape for re: + (r'\*=|\+=|\^=|\/=|\\=|\*\*|\+\+|\.\*\*', Operator), + # operators requiring escape for re: + (r'\.\*|\*|\+|\.\^|\.\\|\.\/|\/|\\', Operator), + + + # punctuation: + (r'[\[\](){}:@.,]', Punctuation), + (r'=|:|;', Punctuation), + + (r'"[^"]*"', String), + + (r'(\d+\.\d*|\d*\.\d+)([eEf][+-]?[0-9]+)?', Number.Float), + (r'\d+[eEf][+-]?[0-9]+', Number.Float), + (r'\d+', Number.Integer), + + # quote can be transpose, instead of string: + # (not great, but handles common cases...) + (r'(?<=[\w)\].])\'+', Operator), + (r'(?|<=|>=|&&|&|~|\|\|?', Operator), + # operators requiring escape for re: + (r'\.\*|\*|\+|\.\^|\.\\|\.\/|\/|\\', Operator), + + # punctuation: + (r'[\[\](){}@.,=:;]', Punctuation), + + (r'"[^"]*"', String), + + # quote can be transpose, instead of string: + # (not great, but handles common cases...) + (r'(?<=[\w)\].])\'+', Operator), + (r'(?', '->', '#', + # Modules + ':>', + )) + + nonid_reserved = set(('(', ')', '[', ']', '{', '}', ',', ';', '...', '_')) + + alphanumid_re = r"[a-zA-Z][\w']*" + symbolicid_re = r"[!%&$#+\-/:<=>?@\\~`^|*]+" + + # A character constant is a sequence of the form #s, where s is a string + # constant denoting a string of size one character. This setup just parses + # the entire string as either a String.Double or a String.Char (depending + # on the argument), even if the String.Char is an erronous + # multiple-character string. + def stringy(whatkind): + return [ + (r'[^"\\]', whatkind), + (r'\\[\\"abtnvfr]', String.Escape), + # Control-character notation is used for codes < 32, + # where \^@ == \000 + (r'\\\^[\x40-\x5e]', String.Escape), + # Docs say 'decimal digits' + (r'\\[0-9]{3}', String.Escape), + (r'\\u[0-9a-fA-F]{4}', String.Escape), + (r'\\\s+\\', String.Interpol), + (r'"', whatkind, '#pop'), + ] + + # Callbacks for distinguishing tokens and reserved words + def long_id_callback(self, match): + if match.group(1) in self.alphanumid_reserved: + token = Error + else: + token = Name.Namespace + yield match.start(1), token, match.group(1) + yield match.start(2), Punctuation, match.group(2) + + def end_id_callback(self, match): + if match.group(1) in self.alphanumid_reserved: + token = Error + elif match.group(1) in self.symbolicid_reserved: + token = Error + else: + token = Name + yield match.start(1), token, match.group(1) + + def id_callback(self, match): + str = match.group(1) + if str in self.alphanumid_reserved: + token = Keyword.Reserved + elif str in self.symbolicid_reserved: + token = Punctuation + else: + token = Name + yield match.start(1), token, str + + tokens = { + # Whitespace and comments are (almost) everywhere + 'whitespace': [ + (r'\s+', Text), + (r'\(\*', Comment.Multiline, 'comment'), + ], + + 'delimiters': [ + # This lexer treats these delimiters specially: + # Delimiters define scopes, and the scope is how the meaning of + # the `|' is resolved - is it a case/handle expression, or function + # definition by cases? (This is not how the Definition works, but + # it's how MLton behaves, see http://mlton.org/SMLNJDeviations) + (r'\(|\[|\{', Punctuation, 'main'), + (r'\)|\]|\}', Punctuation, '#pop'), + (r'\b(let|if|local)\b(?!\')', Keyword.Reserved, ('main', 'main')), + (r'\b(struct|sig|while)\b(?!\')', Keyword.Reserved, 'main'), + (r'\b(do|else|end|in|then)\b(?!\')', Keyword.Reserved, '#pop'), + ], + + 'core': [ + # Punctuation that doesn't overlap symbolic identifiers + (r'(%s)' % '|'.join(re.escape(z) for z in nonid_reserved), + Punctuation), + + # Special constants: strings, floats, numbers in decimal and hex + (r'#"', String.Char, 'char'), + (r'"', String.Double, 'string'), + (r'~?0x[0-9a-fA-F]+', Number.Hex), + (r'0wx[0-9a-fA-F]+', Number.Hex), + (r'0w\d+', Number.Integer), + (r'~?\d+\.\d+[eE]~?\d+', Number.Float), + (r'~?\d+\.\d+', Number.Float), + (r'~?\d+[eE]~?\d+', Number.Float), + (r'~?\d+', Number.Integer), + + # Labels + (r'#\s*[1-9][0-9]*', Name.Label), + (r'#\s*(%s)' % alphanumid_re, Name.Label), + (r'#\s+(%s)' % symbolicid_re, Name.Label), + # Some reserved words trigger a special, local lexer state change + (r'\b(datatype|abstype)\b(?!\')', Keyword.Reserved, 'dname'), + (r'(?=\b(exception)\b(?!\'))', Text, ('ename')), + (r'\b(functor|include|open|signature|structure)\b(?!\')', + Keyword.Reserved, 'sname'), + (r'\b(type|eqtype)\b(?!\')', Keyword.Reserved, 'tname'), + + # Regular identifiers, long and otherwise + (r'\'[\w\']*', Name.Decorator), + (r'(%s)(\.)' % alphanumid_re, long_id_callback, "dotted"), + (r'(%s)' % alphanumid_re, id_callback), + (r'(%s)' % symbolicid_re, id_callback), + ], + 'dotted': [ + (r'(%s)(\.)' % alphanumid_re, long_id_callback), + (r'(%s)' % alphanumid_re, end_id_callback, "#pop"), + (r'(%s)' % symbolicid_re, end_id_callback, "#pop"), + (r'\s+', Error), + (r'\S+', Error), + ], + + + # Main parser (prevents errors in files that have scoping errors) + 'root': [ + default('main') + ], + + # In this scope, I expect '|' to not be followed by a function name, + # and I expect 'and' to be followed by a binding site + 'main': [ + include('whitespace'), + + # Special behavior of val/and/fun + (r'\b(val|and)\b(?!\')', Keyword.Reserved, 'vname'), + (r'\b(fun)\b(?!\')', Keyword.Reserved, + ('#pop', 'main-fun', 'fname')), + + include('delimiters'), + include('core'), + (r'\S+', Error), + ], + + # In this scope, I expect '|' and 'and' to be followed by a function + 'main-fun': [ + include('whitespace'), + + (r'\s', Text), + (r'\(\*', Comment.Multiline, 'comment'), + + # Special behavior of val/and/fun + (r'\b(fun|and)\b(?!\')', Keyword.Reserved, 'fname'), + (r'\b(val)\b(?!\')', Keyword.Reserved, + ('#pop', 'main', 'vname')), + + # Special behavior of '|' and '|'-manipulating keywords + (r'\|', Punctuation, 'fname'), + (r'\b(case|handle)\b(?!\')', Keyword.Reserved, + ('#pop', 'main')), + + include('delimiters'), + include('core'), + (r'\S+', Error), + ], + + # Character and string parsers + 'char': stringy(String.Char), + 'string': stringy(String.Double), + + 'breakout': [ + (r'(?=\b(%s)\b(?!\'))' % '|'.join(alphanumid_reserved), Text, '#pop'), + ], + + # Dealing with what comes after module system keywords + 'sname': [ + include('whitespace'), + include('breakout'), + + (r'(%s)' % alphanumid_re, Name.Namespace), + default('#pop'), + ], + + # Dealing with what comes after the 'fun' (or 'and' or '|') keyword + 'fname': [ + include('whitespace'), + (r'\'[\w\']*', Name.Decorator), + (r'\(', Punctuation, 'tyvarseq'), + + (r'(%s)' % alphanumid_re, Name.Function, '#pop'), + (r'(%s)' % symbolicid_re, Name.Function, '#pop'), + + # Ignore interesting function declarations like "fun (x + y) = ..." + default('#pop'), + ], + + # Dealing with what comes after the 'val' (or 'and') keyword + 'vname': [ + include('whitespace'), + (r'\'[\w\']*', Name.Decorator), + (r'\(', Punctuation, 'tyvarseq'), + + (r'(%s)(\s*)(=(?!%s))' % (alphanumid_re, symbolicid_re), + bygroups(Name.Variable, Text, Punctuation), '#pop'), + (r'(%s)(\s*)(=(?!%s))' % (symbolicid_re, symbolicid_re), + bygroups(Name.Variable, Text, Punctuation), '#pop'), + (r'(%s)' % alphanumid_re, Name.Variable, '#pop'), + (r'(%s)' % symbolicid_re, Name.Variable, '#pop'), + + # Ignore interesting patterns like 'val (x, y)' + default('#pop'), + ], + + # Dealing with what comes after the 'type' (or 'and') keyword + 'tname': [ + include('whitespace'), + include('breakout'), + + (r'\'[\w\']*', Name.Decorator), + (r'\(', Punctuation, 'tyvarseq'), + (r'=(?!%s)' % symbolicid_re, Punctuation, ('#pop', 'typbind')), + + (r'(%s)' % alphanumid_re, Keyword.Type), + (r'(%s)' % symbolicid_re, Keyword.Type), + (r'\S+', Error, '#pop'), + ], + + # A type binding includes most identifiers + 'typbind': [ + include('whitespace'), + + (r'\b(and)\b(?!\')', Keyword.Reserved, ('#pop', 'tname')), + + include('breakout'), + include('core'), + (r'\S+', Error, '#pop'), + ], + + # Dealing with what comes after the 'datatype' (or 'and') keyword + 'dname': [ + include('whitespace'), + include('breakout'), + + (r'\'[\w\']*', Name.Decorator), + (r'\(', Punctuation, 'tyvarseq'), + (r'(=)(\s*)(datatype)', + bygroups(Punctuation, Text, Keyword.Reserved), '#pop'), + (r'=(?!%s)' % symbolicid_re, Punctuation, + ('#pop', 'datbind', 'datcon')), + + (r'(%s)' % alphanumid_re, Keyword.Type), + (r'(%s)' % symbolicid_re, Keyword.Type), + (r'\S+', Error, '#pop'), + ], + + # common case - A | B | C of int + 'datbind': [ + include('whitespace'), + + (r'\b(and)\b(?!\')', Keyword.Reserved, ('#pop', 'dname')), + (r'\b(withtype)\b(?!\')', Keyword.Reserved, ('#pop', 'tname')), + (r'\b(of)\b(?!\')', Keyword.Reserved), + + (r'(\|)(\s*)(%s)' % alphanumid_re, + bygroups(Punctuation, Text, Name.Class)), + (r'(\|)(\s+)(%s)' % symbolicid_re, + bygroups(Punctuation, Text, Name.Class)), + + include('breakout'), + include('core'), + (r'\S+', Error), + ], + + # Dealing with what comes after an exception + 'ename': [ + include('whitespace'), + + (r'(exception|and)\b(\s+)(%s)' % alphanumid_re, + bygroups(Keyword.Reserved, Text, Name.Class)), + (r'(exception|and)\b(\s*)(%s)' % symbolicid_re, + bygroups(Keyword.Reserved, Text, Name.Class)), + (r'\b(of)\b(?!\')', Keyword.Reserved), + + include('breakout'), + include('core'), + (r'\S+', Error), + ], + + 'datcon': [ + include('whitespace'), + (r'(%s)' % alphanumid_re, Name.Class, '#pop'), + (r'(%s)' % symbolicid_re, Name.Class, '#pop'), + (r'\S+', Error, '#pop'), + ], + + # Series of type variables + 'tyvarseq': [ + (r'\s', Text), + (r'\(\*', Comment.Multiline, 'comment'), + + (r'\'[\w\']*', Name.Decorator), + (alphanumid_re, Name), + (r',', Punctuation), + (r'\)', Punctuation, '#pop'), + (symbolicid_re, Name), + ], + + 'comment': [ + (r'[^(*)]', Comment.Multiline), + (r'\(\*', Comment.Multiline, '#push'), + (r'\*\)', Comment.Multiline, '#pop'), + (r'[(*)]', Comment.Multiline), + ], + } + + +class OcamlLexer(RegexLexer): + """ + For the OCaml language. + + .. versionadded:: 0.7 + """ + + name = 'OCaml' + aliases = ['ocaml'] + filenames = ['*.ml', '*.mli', '*.mll', '*.mly'] + mimetypes = ['text/x-ocaml'] + + keywords = ( + 'as', 'assert', 'begin', 'class', 'constraint', 'do', 'done', + 'downto', 'else', 'end', 'exception', 'external', 'false', + 'for', 'fun', 'function', 'functor', 'if', 'in', 'include', + 'inherit', 'initializer', 'lazy', 'let', 'match', 'method', + 'module', 'mutable', 'new', 'object', 'of', 'open', 'private', + 'raise', 'rec', 'sig', 'struct', 'then', 'to', 'true', 'try', + 'type', 'value', 'val', 'virtual', 'when', 'while', 'with', + ) + keyopts = ( + '!=', '#', '&', '&&', r'\(', r'\)', r'\*', r'\+', ',', '-', + r'-\.', '->', r'\.', r'\.\.', ':', '::', ':=', ':>', ';', ';;', '<', + '<-', '=', '>', '>]', r'>\}', r'\?', r'\?\?', r'\[', r'\[<', r'\[>', + r'\[\|', ']', '_', '`', r'\{', r'\{<', r'\|', r'\|]', r'\}', '~' + ) + + operators = r'[!$%&*+\./:<=>?@^|~-]' + word_operators = ('and', 'asr', 'land', 'lor', 'lsl', 'lxor', 'mod', 'or') + prefix_syms = r'[!?~]' + infix_syms = r'[=<>@^|&+\*/$%-]' + primitives = ('unit', 'int', 'float', 'bool', 'string', 'char', 'list', 'array') + + tokens = { + 'escape-sequence': [ + (r'\\[\\"\'ntbr]', String.Escape), + (r'\\[0-9]{3}', String.Escape), + (r'\\x[0-9a-fA-F]{2}', String.Escape), + ], + 'root': [ + (r'\s+', Text), + (r'false|true|\(\)|\[\]', Name.Builtin.Pseudo), + (r'\b([A-Z][\w\']*)(?=\s*\.)', Name.Namespace, 'dotted'), + (r'\b([A-Z][\w\']*)', Name.Class), + (r'\(\*(?![)])', Comment, 'comment'), + (r'\b(%s)\b' % '|'.join(keywords), Keyword), + (r'(%s)' % '|'.join(keyopts[::-1]), Operator), + (r'(%s|%s)?%s' % (infix_syms, prefix_syms, operators), Operator), + (r'\b(%s)\b' % '|'.join(word_operators), Operator.Word), + (r'\b(%s)\b' % '|'.join(primitives), Keyword.Type), + + (r"[^\W\d][\w']*", Name), + + (r'-?\d[\d_]*(.[\d_]*)?([eE][+\-]?\d[\d_]*)', Number.Float), + (r'0[xX][\da-fA-F][\da-fA-F_]*', Number.Hex), + (r'0[oO][0-7][0-7_]*', Number.Oct), + (r'0[bB][01][01_]*', Number.Bin), + (r'\d[\d_]*', Number.Integer), + + (r"'(?:(\\[\\\"'ntbr ])|(\\[0-9]{3})|(\\x[0-9a-fA-F]{2}))'", + String.Char), + (r"'.'", String.Char), + (r"'", Keyword), # a stray quote is another syntax element + + (r'"', String.Double, 'string'), + + (r'[~?][a-z][\w\']*:', Name.Variable), + ], + 'comment': [ + (r'[^(*)]+', Comment), + (r'\(\*', Comment, '#push'), + (r'\*\)', Comment, '#pop'), + (r'[(*)]', Comment), + ], + 'string': [ + (r'[^\\"]+', String.Double), + include('escape-sequence'), + (r'\\\n', String.Double), + (r'"', String.Double, '#pop'), + ], + 'dotted': [ + (r'\s+', Text), + (r'\.', Punctuation), + (r'[A-Z][\w\']*(?=\s*\.)', Name.Namespace), + (r'[A-Z][\w\']*', Name.Class, '#pop'), + (r'[a-z_][\w\']*', Name, '#pop'), + default('#pop'), + ], + } + + +class OpaLexer(RegexLexer): + """ + Lexer for the Opa language (http://opalang.org). + + .. versionadded:: 1.5 + """ + + name = 'Opa' + aliases = ['opa'] + filenames = ['*.opa'] + mimetypes = ['text/x-opa'] + + # most of these aren't strictly keywords + # but if you color only real keywords, you might just + # as well not color anything + keywords = ( + 'and', 'as', 'begin', 'case', 'client', 'css', 'database', 'db', 'do', + 'else', 'end', 'external', 'forall', 'function', 'if', 'import', + 'match', 'module', 'or', 'package', 'parser', 'rec', 'server', 'then', + 'type', 'val', 'with', 'xml_parser', + ) + + # matches both stuff and `stuff` + ident_re = r'(([a-zA-Z_]\w*)|(`[^`]*`))' + + op_re = r'[.=\-<>,@~%/+?*&^!]' + punc_re = r'[()\[\],;|]' # '{' and '}' are treated elsewhere + # because they are also used for inserts + + tokens = { + # copied from the caml lexer, should be adapted + 'escape-sequence': [ + (r'\\[\\"\'ntr}]', String.Escape), + (r'\\[0-9]{3}', String.Escape), + (r'\\x[0-9a-fA-F]{2}', String.Escape), + ], + + # factorizing these rules, because they are inserted many times + 'comments': [ + (r'/\*', Comment, 'nested-comment'), + (r'//.*?$', Comment), + ], + 'comments-and-spaces': [ + include('comments'), + (r'\s+', Text), + ], + + 'root': [ + include('comments-and-spaces'), + # keywords + (words(keywords, prefix=r'\b', suffix=r'\b'), Keyword), + # directives + # we could parse the actual set of directives instead of anything + # starting with @, but this is troublesome + # because it needs to be adjusted all the time + # and assuming we parse only sources that compile, it is useless + (r'@' + ident_re + r'\b', Name.Builtin.Pseudo), + + # number literals + (r'-?.[\d]+([eE][+\-]?\d+)', Number.Float), + (r'-?\d+.\d*([eE][+\-]?\d+)', Number.Float), + (r'-?\d+[eE][+\-]?\d+', Number.Float), + (r'0[xX][\da-fA-F]+', Number.Hex), + (r'0[oO][0-7]+', Number.Oct), + (r'0[bB][01]+', Number.Bin), + (r'\d+', Number.Integer), + # color literals + (r'#[\da-fA-F]{3,6}', Number.Integer), + + # string literals + (r'"', String.Double, 'string'), + # char literal, should be checked because this is the regexp from + # the caml lexer + (r"'(?:(\\[\\\"'ntbr ])|(\\[0-9]{3})|(\\x[0-9a-fA-F]{2})|.)'", + String.Char), + + # this is meant to deal with embedded exprs in strings + # every time we find a '}' we pop a state so that if we were + # inside a string, we are back in the string state + # as a consequence, we must also push a state every time we find a + # '{' or else we will have errors when parsing {} for instance + (r'\{', Operator, '#push'), + (r'\}', Operator, '#pop'), + + # html literals + # this is a much more strict that the actual parser, + # since a])', String.Single, 'html-open-tag'), + + # db path + # matching the '[_]' in '/a[_]' because it is a part + # of the syntax of the db path definition + # unfortunately, i don't know how to match the ']' in + # /a[1], so this is somewhat inconsistent + (r'[@?!]?(/\w+)+(\[_\])?', Name.Variable), + # putting the same color on <- as on db path, since + # it can be used only to mean Db.write + (r'<-(?!'+op_re+r')', Name.Variable), + + # 'modules' + # although modules are not distinguished by their names as in caml + # the standard library seems to follow the convention that modules + # only area capitalized + (r'\b([A-Z]\w*)(?=\.)', Name.Namespace), + + # operators + # = has a special role because this is the only + # way to syntactic distinguish binding constructions + # unfortunately, this colors the equal in {x=2} too + (r'=(?!'+op_re+r')', Keyword), + (r'(%s)+' % op_re, Operator), + (r'(%s)+' % punc_re, Operator), + + # coercions + (r':', Operator, 'type'), + # type variables + # we need this rule because we don't parse specially type + # definitions so in "type t('a) = ...", "'a" is parsed by 'root' + ("'"+ident_re, Keyword.Type), + + # id literal, #something, or #{expr} + (r'#'+ident_re, String.Single), + (r'#(?=\{)', String.Single), + + # identifiers + # this avoids to color '2' in 'a2' as an integer + (ident_re, Text), + + # default, not sure if that is needed or not + # (r'.', Text), + ], + + # it is quite painful to have to parse types to know where they end + # this is the general rule for a type + # a type is either: + # * -> ty + # * type-with-slash + # * type-with-slash -> ty + # * type-with-slash (, type-with-slash)+ -> ty + # + # the code is pretty funky in here, but this code would roughly + # translate in caml to: + # let rec type stream = + # match stream with + # | [< "->"; stream >] -> type stream + # | [< ""; stream >] -> + # type_with_slash stream + # type_lhs_1 stream; + # and type_1 stream = ... + 'type': [ + include('comments-and-spaces'), + (r'->', Keyword.Type), + default(('#pop', 'type-lhs-1', 'type-with-slash')), + ], + + # parses all the atomic or closed constructions in the syntax of type + # expressions: record types, tuple types, type constructors, basic type + # and type variables + 'type-1': [ + include('comments-and-spaces'), + (r'\(', Keyword.Type, ('#pop', 'type-tuple')), + (r'~?\{', Keyword.Type, ('#pop', 'type-record')), + (ident_re+r'\(', Keyword.Type, ('#pop', 'type-tuple')), + (ident_re, Keyword.Type, '#pop'), + ("'"+ident_re, Keyword.Type), + # this case is not in the syntax but sometimes + # we think we are parsing types when in fact we are parsing + # some css, so we just pop the states until we get back into + # the root state + default('#pop'), + ], + + # type-with-slash is either: + # * type-1 + # * type-1 (/ type-1)+ + 'type-with-slash': [ + include('comments-and-spaces'), + default(('#pop', 'slash-type-1', 'type-1')), + ], + 'slash-type-1': [ + include('comments-and-spaces'), + ('/', Keyword.Type, ('#pop', 'type-1')), + # same remark as above + default('#pop'), + ], + + # we go in this state after having parsed a type-with-slash + # while trying to parse a type + # and at this point we must determine if we are parsing an arrow + # type (in which case we must continue parsing) or not (in which + # case we stop) + 'type-lhs-1': [ + include('comments-and-spaces'), + (r'->', Keyword.Type, ('#pop', 'type')), + (r'(?=,)', Keyword.Type, ('#pop', 'type-arrow')), + default('#pop'), + ], + 'type-arrow': [ + include('comments-and-spaces'), + # the look ahead here allows to parse f(x : int, y : float -> truc) + # correctly + (r',(?=[^:]*?->)', Keyword.Type, 'type-with-slash'), + (r'->', Keyword.Type, ('#pop', 'type')), + # same remark as above + default('#pop'), + ], + + # no need to do precise parsing for tuples and records + # because they are closed constructions, so we can simply + # find the closing delimiter + # note that this function would be not work if the source + # contained identifiers like `{)` (although it could be patched + # to support it) + 'type-tuple': [ + include('comments-and-spaces'), + (r'[^()/*]+', Keyword.Type), + (r'[/*]', Keyword.Type), + (r'\(', Keyword.Type, '#push'), + (r'\)', Keyword.Type, '#pop'), + ], + 'type-record': [ + include('comments-and-spaces'), + (r'[^{}/*]+', Keyword.Type), + (r'[/*]', Keyword.Type), + (r'\{', Keyword.Type, '#push'), + (r'\}', Keyword.Type, '#pop'), + ], + + # 'type-tuple': [ + # include('comments-and-spaces'), + # (r'\)', Keyword.Type, '#pop'), + # default(('#pop', 'type-tuple-1', 'type-1')), + # ], + # 'type-tuple-1': [ + # include('comments-and-spaces'), + # (r',?\s*\)', Keyword.Type, '#pop'), # ,) is a valid end of tuple, in (1,) + # (r',', Keyword.Type, 'type-1'), + # ], + # 'type-record':[ + # include('comments-and-spaces'), + # (r'\}', Keyword.Type, '#pop'), + # (r'~?(?:\w+|`[^`]*`)', Keyword.Type, 'type-record-field-expr'), + # ], + # 'type-record-field-expr': [ + # + # ], + + 'nested-comment': [ + (r'[^/*]+', Comment), + (r'/\*', Comment, '#push'), + (r'\*/', Comment, '#pop'), + (r'[/*]', Comment), + ], + + # the copy pasting between string and single-string + # is kinda sad. Is there a way to avoid that?? + 'string': [ + (r'[^\\"{]+', String.Double), + (r'"', String.Double, '#pop'), + (r'\{', Operator, 'root'), + include('escape-sequence'), + ], + 'single-string': [ + (r'[^\\\'{]+', String.Double), + (r'\'', String.Double, '#pop'), + (r'\{', Operator, 'root'), + include('escape-sequence'), + ], + + # all the html stuff + # can't really reuse some existing html parser + # because we must be able to parse embedded expressions + + # we are in this state after someone parsed the '<' that + # started the html literal + 'html-open-tag': [ + (r'[\w\-:]+', String.Single, ('#pop', 'html-attr')), + (r'>', String.Single, ('#pop', 'html-content')), + ], + + # we are in this state after someone parsed the ' is allowed + (r'[\w\-:]*>', String.Single, '#pop'), + ], + + # we are in this state after having parsed '', String.Single, '#pop'), + (r'>', String.Single, ('#pop', 'html-content')), + ], + + 'html-attr-value': [ + (r"'", String.Single, ('#pop', 'single-string')), + (r'"', String.Single, ('#pop', 'string')), + (r'#'+ident_re, String.Single, '#pop'), + (r'#(?=\{)', String.Single, ('#pop', 'root')), + (r'[^"\'{`=<>]+', String.Single, '#pop'), + (r'\{', Operator, ('#pop', 'root')), # this is a tail call! + ], + + # we should probably deal with '\' escapes here + 'html-content': [ + (r'', Comment, '#pop'), + (r'[^\-]+|-', Comment), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/modeling.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/modeling.py new file mode 100644 index 0000000000000000000000000000000000000000..b354f1cf0d156618e68ad79c49a57f528c5e701b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/modeling.py @@ -0,0 +1,358 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.modeling + ~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for modeling languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, using, default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation + +from pygments.lexers.html import HtmlLexer +from pygments.lexers import _stan_builtins + +__all__ = ['ModelicaLexer', 'BugsLexer', 'JagsLexer', 'StanLexer'] + + +class ModelicaLexer(RegexLexer): + """ + For `Modelica `_ source code. + + .. versionadded:: 1.1 + """ + name = 'Modelica' + aliases = ['modelica'] + filenames = ['*.mo'] + mimetypes = ['text/x-modelica'] + + flags = re.DOTALL | re.MULTILINE + + _name = r"(?:'(?:[^\\']|\\.)+'|[a-zA-Z_]\w*)" + + tokens = { + 'whitespace': [ + (u'[\\s\ufeff]+', Text), + (r'//[^\n]*\n?', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline) + ], + 'root': [ + include('whitespace'), + (r'"', String.Double, 'string'), + (r'[()\[\]{},;]+', Punctuation), + (r'\.?[*^/+-]|\.|<>|[<>:=]=?', Operator), + (r'\d+(\.?\d*[eE][-+]?\d+|\.\d*)', Number.Float), + (r'\d+', Number.Integer), + (r'(abs|acos|actualStream|array|asin|assert|AssertionLevel|atan|' + r'atan2|backSample|Boolean|cardinality|cat|ceil|change|Clock|' + r'Connections|cos|cosh|cross|delay|diagonal|div|edge|exp|' + r'ExternalObject|fill|floor|getInstanceName|hold|homotopy|' + r'identity|inStream|integer|Integer|interval|inverse|isPresent|' + r'linspace|log|log10|matrix|max|min|mod|ndims|noClock|noEvent|' + r'ones|outerProduct|pre|previous|product|Real|reinit|rem|rooted|' + r'sample|scalar|semiLinear|shiftSample|sign|sin|sinh|size|skew|' + r'smooth|spatialDistribution|sqrt|StateSelect|String|subSample|' + r'sum|superSample|symmetric|tan|tanh|terminal|terminate|time|' + r'transpose|vector|zeros)\b', Name.Builtin), + (r'(algorithm|annotation|break|connect|constant|constrainedby|der|' + r'discrete|each|else|elseif|elsewhen|encapsulated|enumeration|' + r'equation|exit|expandable|extends|external|final|flow|for|if|' + r'import|impure|in|initial|inner|input|loop|nondiscrete|outer|' + r'output|parameter|partial|protected|public|pure|redeclare|' + r'replaceable|return|stream|then|when|while)\b', + Keyword.Reserved), + (r'(and|not|or)\b', Operator.Word), + (r'(block|class|connector|end|function|model|operator|package|' + r'record|type)\b', Keyword.Reserved, 'class'), + (r'(false|true)\b', Keyword.Constant), + (r'within\b', Keyword.Reserved, 'package-prefix'), + (_name, Name) + ], + 'class': [ + include('whitespace'), + (r'(function|record)\b', Keyword.Reserved), + (r'(if|for|when|while)\b', Keyword.Reserved, '#pop'), + (_name, Name.Class, '#pop'), + default('#pop') + ], + 'package-prefix': [ + include('whitespace'), + (_name, Name.Namespace, '#pop'), + default('#pop') + ], + 'string': [ + (r'"', String.Double, '#pop'), + (r'\\[\'"?\\abfnrtv]', String.Escape), + (r'(?i)<\s*html\s*>([^\\"]|\\.)+?(<\s*/\s*html\s*>|(?="))', + using(HtmlLexer)), + (r'<|\\?[^"\\<]+', String.Double) + ] + } + + +class BugsLexer(RegexLexer): + """ + Pygments Lexer for `OpenBugs `_ and WinBugs + models. + + .. versionadded:: 1.6 + """ + + name = 'BUGS' + aliases = ['bugs', 'winbugs', 'openbugs'] + filenames = ['*.bug'] + + _FUNCTIONS = ( + # Scalar functions + 'abs', 'arccos', 'arccosh', 'arcsin', 'arcsinh', 'arctan', 'arctanh', + 'cloglog', 'cos', 'cosh', 'cumulative', 'cut', 'density', 'deviance', + 'equals', 'expr', 'gammap', 'ilogit', 'icloglog', 'integral', 'log', + 'logfact', 'loggam', 'logit', 'max', 'min', 'phi', 'post.p.value', + 'pow', 'prior.p.value', 'probit', 'replicate.post', 'replicate.prior', + 'round', 'sin', 'sinh', 'solution', 'sqrt', 'step', 'tan', 'tanh', + 'trunc', + # Vector functions + 'inprod', 'interp.lin', 'inverse', 'logdet', 'mean', 'eigen.vals', + 'ode', 'prod', 'p.valueM', 'rank', 'ranked', 'replicate.postM', + 'sd', 'sort', 'sum', + # Special + 'D', 'I', 'F', 'T', 'C') + """ OpenBUGS built-in functions + + From http://www.openbugs.info/Manuals/ModelSpecification.html#ContentsAII + + This also includes + + - T, C, I : Truncation and censoring. + ``T`` and ``C`` are in OpenBUGS. ``I`` in WinBUGS. + - D : ODE + - F : Functional http://www.openbugs.info/Examples/Functionals.html + + """ + + _DISTRIBUTIONS = ('dbern', 'dbin', 'dcat', 'dnegbin', 'dpois', + 'dhyper', 'dbeta', 'dchisqr', 'ddexp', 'dexp', + 'dflat', 'dgamma', 'dgev', 'df', 'dggamma', 'dgpar', + 'dloglik', 'dlnorm', 'dlogis', 'dnorm', 'dpar', + 'dt', 'dunif', 'dweib', 'dmulti', 'ddirch', 'dmnorm', + 'dmt', 'dwish') + """ OpenBUGS built-in distributions + + Functions from + http://www.openbugs.info/Manuals/ModelSpecification.html#ContentsAI + """ + + tokens = { + 'whitespace': [ + (r"\s+", Text), + ], + 'comments': [ + # Comments + (r'#.*$', Comment.Single), + ], + 'root': [ + # Comments + include('comments'), + include('whitespace'), + # Block start + (r'(model)(\s+)(\{)', + bygroups(Keyword.Namespace, Text, Punctuation)), + # Reserved Words + (r'(for|in)(?![\w.])', Keyword.Reserved), + # Built-in Functions + (r'(%s)(?=\s*\()' + % r'|'.join(_FUNCTIONS + _DISTRIBUTIONS), + Name.Builtin), + # Regular variable names + (r'[A-Za-z][\w.]*', Name), + # Number Literals + (r'[-+]?[0-9]*\.?[0-9]+([eE][-+]?[0-9]+)?', Number), + # Punctuation + (r'\[|\]|\(|\)|:|,|;', Punctuation), + # Assignment operators + # SLexer makes these tokens Operators. + (r'<-|~', Operator), + # Infix and prefix operators + (r'\+|-|\*|/', Operator), + # Block + (r'[{}]', Punctuation), + ] + } + + def analyse_text(text): + if re.search(r"^\s*model\s*{", text, re.M): + return 0.7 + else: + return 0.0 + + +class JagsLexer(RegexLexer): + """ + Pygments Lexer for JAGS. + + .. versionadded:: 1.6 + """ + + name = 'JAGS' + aliases = ['jags'] + filenames = ['*.jag', '*.bug'] + + # JAGS + _FUNCTIONS = ( + 'abs', 'arccos', 'arccosh', 'arcsin', 'arcsinh', 'arctan', 'arctanh', + 'cos', 'cosh', 'cloglog', + 'equals', 'exp', 'icloglog', 'ifelse', 'ilogit', 'log', 'logfact', + 'loggam', 'logit', 'phi', 'pow', 'probit', 'round', 'sin', 'sinh', + 'sqrt', 'step', 'tan', 'tanh', 'trunc', 'inprod', 'interp.lin', + 'logdet', 'max', 'mean', 'min', 'prod', 'sum', 'sd', 'inverse', + 'rank', 'sort', 't', 'acos', 'acosh', 'asin', 'asinh', 'atan', + # Truncation/Censoring (should I include) + 'T', 'I') + # Distributions with density, probability and quartile functions + _DISTRIBUTIONS = tuple('[dpq]%s' % x for x in + ('bern', 'beta', 'dchiqsqr', 'ddexp', 'dexp', + 'df', 'gamma', 'gen.gamma', 'logis', 'lnorm', + 'negbin', 'nchisqr', 'norm', 'par', 'pois', 'weib')) + # Other distributions without density and probability + _OTHER_DISTRIBUTIONS = ( + 'dt', 'dunif', 'dbetabin', 'dbern', 'dbin', 'dcat', 'dhyper', + 'ddirch', 'dmnorm', 'dwish', 'dmt', 'dmulti', 'dbinom', 'dchisq', + 'dnbinom', 'dweibull', 'ddirich') + + tokens = { + 'whitespace': [ + (r"\s+", Text), + ], + 'names': [ + # Regular variable names + (r'[a-zA-Z][\w.]*\b', Name), + ], + 'comments': [ + # do not use stateful comments + (r'(?s)/\*.*?\*/', Comment.Multiline), + # Comments + (r'#.*$', Comment.Single), + ], + 'root': [ + # Comments + include('comments'), + include('whitespace'), + # Block start + (r'(model|data)(\s+)(\{)', + bygroups(Keyword.Namespace, Text, Punctuation)), + (r'var(?![\w.])', Keyword.Declaration), + # Reserved Words + (r'(for|in)(?![\w.])', Keyword.Reserved), + # Builtins + # Need to use lookahead because . is a valid char + (r'(%s)(?=\s*\()' % r'|'.join(_FUNCTIONS + + _DISTRIBUTIONS + + _OTHER_DISTRIBUTIONS), + Name.Builtin), + # Names + include('names'), + # Number Literals + (r'[-+]?[0-9]*\.?[0-9]+([eE][-+]?[0-9]+)?', Number), + (r'\[|\]|\(|\)|:|,|;', Punctuation), + # Assignment operators + (r'<-|~', Operator), + # # JAGS includes many more than OpenBUGS + (r'\+|-|\*|\/|\|\|[&]{2}|[<>=]=?|\^|%.*?%', Operator), + (r'[{}]', Punctuation), + ] + } + + def analyse_text(text): + if re.search(r'^\s*model\s*\{', text, re.M): + if re.search(r'^\s*data\s*\{', text, re.M): + return 0.9 + elif re.search(r'^\s*var', text, re.M): + return 0.9 + else: + return 0.3 + else: + return 0 + + +class StanLexer(RegexLexer): + """Pygments Lexer for Stan models. + + The Stan modeling language is specified in the *Stan Modeling Language + User's Guide and Reference Manual, v2.8.0*, + `pdf `__. + + .. versionadded:: 1.6 + """ + + name = 'Stan' + aliases = ['stan'] + filenames = ['*.stan'] + + tokens = { + 'whitespace': [ + (r"\s+", Text), + ], + 'comments': [ + (r'(?s)/\*.*?\*/', Comment.Multiline), + # Comments + (r'(//|#).*$', Comment.Single), + ], + 'root': [ + # Stan is more restrictive on strings than this regex + (r'"[^"]*"', String), + # Comments + include('comments'), + # block start + include('whitespace'), + # Block start + (r'(%s)(\s*)(\{)' % + r'|'.join(('functions', 'data', r'transformed\s+?data', + 'parameters', r'transformed\s+parameters', + 'model', r'generated\s+quantities')), + bygroups(Keyword.Namespace, Text, Punctuation)), + # Reserved Words + (r'(%s)\b' % r'|'.join(_stan_builtins.KEYWORDS), Keyword), + # Truncation + (r'T(?=\s*\[)', Keyword), + # Data types + (r'(%s)\b' % r'|'.join(_stan_builtins.TYPES), Keyword.Type), + # Punctuation + (r"[;:,\[\]()]", Punctuation), + # Builtin + (r'(%s)(?=\s*\()' + % r'|'.join(_stan_builtins.FUNCTIONS + + _stan_builtins.DISTRIBUTIONS), + Name.Builtin), + # Special names ending in __, like lp__ + (r'[A-Za-z]\w*__\b', Name.Builtin.Pseudo), + (r'(%s)\b' % r'|'.join(_stan_builtins.RESERVED), Keyword.Reserved), + # user-defined functions + (r'[A-Za-z]\w*(?=\s*\()]', Name.Function), + # Regular variable names + (r'[A-Za-z]\w*\b', Name), + # Real Literals + (r'-?[0-9]+(\.[0-9]+)?[eE]-?[0-9]+', Number.Float), + (r'-?[0-9]*\.[0-9]*', Number.Float), + # Integer Literals + (r'-?[0-9]+', Number.Integer), + # Assignment operators + # SLexer makes these tokens Operators. + (r'<-|~', Operator), + # Infix, prefix and postfix operators (and = ) + (r"\+|-|\.?\*|\.?/|\\|'|\^|==?|!=?|<=?|>=?|\|\||&&", Operator), + # Block delimiters + (r'[{}]', Punctuation), + ] + } + + def analyse_text(text): + if re.search(r'^\s*parameters\s*\{', text, re.M): + return 1.0 + else: + return 0.0 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/modula2.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/modula2.py new file mode 100644 index 0000000000000000000000000000000000000000..c0a69b404f8626562845a466ea18d95d69ba6a9c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/modula2.py @@ -0,0 +1,1561 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.modula2 + ~~~~~~~~~~~~~~~~~~~~~~~ + + Multi-Dialect Lexer for Modula-2. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include +from pygments.util import get_bool_opt, get_list_opt +from pygments.token import Text, Comment, Operator, Keyword, Name, \ + String, Number, Punctuation, Error + +__all__ = ['Modula2Lexer'] + + +# Multi-Dialect Modula-2 Lexer +class Modula2Lexer(RegexLexer): + """ + For `Modula-2 `_ source code. + + The Modula-2 lexer supports several dialects. By default, it operates in + fallback mode, recognising the *combined* literals, punctuation symbols + and operators of all supported dialects, and the *combined* reserved words + and builtins of PIM Modula-2, ISO Modula-2 and Modula-2 R10, while not + differentiating between library defined identifiers. + + To select a specific dialect, a dialect option may be passed + or a dialect tag may be embedded into a source file. + + Dialect Options: + + `m2pim` + Select PIM Modula-2 dialect. + `m2iso` + Select ISO Modula-2 dialect. + `m2r10` + Select Modula-2 R10 dialect. + `objm2` + Select Objective Modula-2 dialect. + + The PIM and ISO dialect options may be qualified with a language extension. + + Language Extensions: + + `+aglet` + Select Aglet Modula-2 extensions, available with m2iso. + `+gm2` + Select GNU Modula-2 extensions, available with m2pim. + `+p1` + Select p1 Modula-2 extensions, available with m2iso. + `+xds` + Select XDS Modula-2 extensions, available with m2iso. + + + Passing a Dialect Option via Unix Commandline Interface + + Dialect options may be passed to the lexer using the `dialect` key. + Only one such option should be passed. If multiple dialect options are + passed, the first valid option is used, any subsequent options are ignored. + + Examples: + + `$ pygmentize -O full,dialect=m2iso -f html -o /path/to/output /path/to/input` + Use ISO dialect to render input to HTML output + `$ pygmentize -O full,dialect=m2iso+p1 -f rtf -o /path/to/output /path/to/input` + Use ISO dialect with p1 extensions to render input to RTF output + + + Embedding a Dialect Option within a source file + + A dialect option may be embedded in a source file in form of a dialect + tag, a specially formatted comment that specifies a dialect option. + + Dialect Tag EBNF:: + + dialectTag : + OpeningCommentDelim Prefix dialectOption ClosingCommentDelim ; + + dialectOption : + 'm2pim' | 'm2iso' | 'm2r10' | 'objm2' | + 'm2iso+aglet' | 'm2pim+gm2' | 'm2iso+p1' | 'm2iso+xds' ; + + Prefix : '!' ; + + OpeningCommentDelim : '(*' ; + + ClosingCommentDelim : '*)' ; + + No whitespace is permitted between the tokens of a dialect tag. + + In the event that a source file contains multiple dialect tags, the first + tag that contains a valid dialect option will be used and any subsequent + dialect tags will be ignored. Ideally, a dialect tag should be placed + at the beginning of a source file. + + An embedded dialect tag overrides a dialect option set via command line. + + Examples: + + ``(*!m2r10*) DEFINITION MODULE Foobar; ...`` + Use Modula2 R10 dialect to render this source file. + ``(*!m2pim+gm2*) DEFINITION MODULE Bazbam; ...`` + Use PIM dialect with GNU extensions to render this source file. + + + Algol Publication Mode: + + In Algol publication mode, source text is rendered for publication of + algorithms in scientific papers and academic texts, following the format + of the Revised Algol-60 Language Report. It is activated by passing + one of two corresponding styles as an option: + + `algol` + render reserved words lowercase underline boldface + and builtins lowercase boldface italic + `algol_nu` + render reserved words lowercase boldface (no underlining) + and builtins lowercase boldface italic + + The lexer automatically performs the required lowercase conversion when + this mode is activated. + + Example: + + ``$ pygmentize -O full,style=algol -f latex -o /path/to/output /path/to/input`` + Render input file in Algol publication mode to LaTeX output. + + + Rendering Mode of First Class ADT Identifiers: + + The rendering of standard library first class ADT identifiers is controlled + by option flag "treat_stdlib_adts_as_builtins". + + When this option is turned on, standard library ADT identifiers are rendered + as builtins. When it is turned off, they are rendered as ordinary library + identifiers. + + `treat_stdlib_adts_as_builtins` (default: On) + + The option is useful for dialects that support ADTs as first class objects + and provide ADTs in the standard library that would otherwise be built-in. + + At present, only Modula-2 R10 supports library ADTs as first class objects + and therefore, no ADT identifiers are defined for any other dialects. + + Example: + + ``$ pygmentize -O full,dialect=m2r10,treat_stdlib_adts_as_builtins=Off ...`` + Render standard library ADTs as ordinary library types. + + .. versionadded:: 1.3 + + .. versionchanged:: 2.1 + Added multi-dialect support. + """ + name = 'Modula-2' + aliases = ['modula2', 'm2'] + filenames = ['*.def', '*.mod'] + mimetypes = ['text/x-modula2'] + + flags = re.MULTILINE | re.DOTALL + + tokens = { + 'whitespace': [ + (r'\n+', Text), # blank lines + (r'\s+', Text), # whitespace + ], + 'dialecttags': [ + # PIM Dialect Tag + (r'\(\*!m2pim\*\)', Comment.Special), + # ISO Dialect Tag + (r'\(\*!m2iso\*\)', Comment.Special), + # M2R10 Dialect Tag + (r'\(\*!m2r10\*\)', Comment.Special), + # ObjM2 Dialect Tag + (r'\(\*!objm2\*\)', Comment.Special), + # Aglet Extensions Dialect Tag + (r'\(\*!m2iso\+aglet\*\)', Comment.Special), + # GNU Extensions Dialect Tag + (r'\(\*!m2pim\+gm2\*\)', Comment.Special), + # p1 Extensions Dialect Tag + (r'\(\*!m2iso\+p1\*\)', Comment.Special), + # XDS Extensions Dialect Tag + (r'\(\*!m2iso\+xds\*\)', Comment.Special), + ], + 'identifiers': [ + (r'([a-zA-Z_$][\w$]*)', Name), + ], + 'prefixed_number_literals': [ + # + # Base-2, whole number + (r'0b[01]+(\'[01]+)*', Number.Bin), + # + # Base-16, whole number + (r'0[ux][0-9A-F]+(\'[0-9A-F]+)*', Number.Hex), + ], + 'plain_number_literals': [ + # + # Base-10, real number with exponent + (r'[0-9]+(\'[0-9]+)*' # integral part + r'\.[0-9]+(\'[0-9]+)*' # fractional part + r'[eE][+-]?[0-9]+(\'[0-9]+)*', # exponent + Number.Float), + # + # Base-10, real number without exponent + (r'[0-9]+(\'[0-9]+)*' # integral part + r'\.[0-9]+(\'[0-9]+)*', # fractional part + Number.Float), + # + # Base-10, whole number + (r'[0-9]+(\'[0-9]+)*', Number.Integer), + ], + 'suffixed_number_literals': [ + # + # Base-8, whole number + (r'[0-7]+B', Number.Oct), + # + # Base-8, character code + (r'[0-7]+C', Number.Oct), + # + # Base-16, number + (r'[0-9A-F]+H', Number.Hex), + ], + 'string_literals': [ + (r"'(\\\\|\\'|[^'])*'", String), # single quoted string + (r'"(\\\\|\\"|[^"])*"', String), # double quoted string + ], + 'digraph_operators': [ + # Dot Product Operator + (r'\*\.', Operator), + # Array Concatenation Operator + (r'\+>', Operator), # M2R10 + ObjM2 + # Inequality Operator + (r'<>', Operator), # ISO + PIM + # Less-Or-Equal, Subset + (r'<=', Operator), + # Greater-Or-Equal, Superset + (r'>=', Operator), + # Identity Operator + (r'==', Operator), # M2R10 + ObjM2 + # Type Conversion Operator + (r'::', Operator), # M2R10 + ObjM2 + # Assignment Symbol + (r':=', Operator), + # Postfix Increment Mutator + (r'\+\+', Operator), # M2R10 + ObjM2 + # Postfix Decrement Mutator + (r'--', Operator), # M2R10 + ObjM2 + ], + 'unigraph_operators': [ + # Arithmetic Operators + (r'[+-]', Operator), + (r'[*/]', Operator), + # ISO 80000-2 compliant Set Difference Operator + (r'\\', Operator), # M2R10 + ObjM2 + # Relational Operators + (r'[=#<>]', Operator), + # Dereferencing Operator + (r'\^', Operator), + # Dereferencing Operator Synonym + (r'@', Operator), # ISO + # Logical AND Operator Synonym + (r'&', Operator), # PIM + ISO + # Logical NOT Operator Synonym + (r'~', Operator), # PIM + ISO + # Smalltalk Message Prefix + (r'`', Operator), # ObjM2 + ], + 'digraph_punctuation': [ + # Range Constructor + (r'\.\.', Punctuation), + # Opening Chevron Bracket + (r'<<', Punctuation), # M2R10 + ISO + # Closing Chevron Bracket + (r'>>', Punctuation), # M2R10 + ISO + # Blueprint Punctuation + (r'->', Punctuation), # M2R10 + ISO + # Distinguish |# and # in M2 R10 + (r'\|#', Punctuation), + # Distinguish ## and # in M2 R10 + (r'##', Punctuation), + # Distinguish |* and * in M2 R10 + (r'\|\*', Punctuation), + ], + 'unigraph_punctuation': [ + # Common Punctuation + (r'[()\[\]{},.:;|]', Punctuation), + # Case Label Separator Synonym + (r'!', Punctuation), # ISO + # Blueprint Punctuation + (r'\?', Punctuation), # M2R10 + ObjM2 + ], + 'comments': [ + # Single Line Comment + (r'^//.*?\n', Comment.Single), # M2R10 + ObjM2 + # Block Comment + (r'\(\*([^$].*?)\*\)', Comment.Multiline), + # Template Block Comment + (r'/\*(.*?)\*/', Comment.Multiline), # M2R10 + ObjM2 + ], + 'pragmas': [ + # ISO Style Pragmas + (r'<\*.*?\*>', Comment.Preproc), # ISO, M2R10 + ObjM2 + # Pascal Style Pragmas + (r'\(\*\$.*?\*\)', Comment.Preproc), # PIM + ], + 'root': [ + include('whitespace'), + include('dialecttags'), + include('pragmas'), + include('comments'), + include('identifiers'), + include('suffixed_number_literals'), # PIM + ISO + include('prefixed_number_literals'), # M2R10 + ObjM2 + include('plain_number_literals'), + include('string_literals'), + include('digraph_punctuation'), + include('digraph_operators'), + include('unigraph_punctuation'), + include('unigraph_operators'), + ] + } + +# C o m m o n D a t a s e t s + + # Common Reserved Words Dataset + common_reserved_words = ( + # 37 common reserved words + 'AND', 'ARRAY', 'BEGIN', 'BY', 'CASE', 'CONST', 'DEFINITION', 'DIV', + 'DO', 'ELSE', 'ELSIF', 'END', 'EXIT', 'FOR', 'FROM', 'IF', + 'IMPLEMENTATION', 'IMPORT', 'IN', 'LOOP', 'MOD', 'MODULE', 'NOT', + 'OF', 'OR', 'POINTER', 'PROCEDURE', 'RECORD', 'REPEAT', 'RETURN', + 'SET', 'THEN', 'TO', 'TYPE', 'UNTIL', 'VAR', 'WHILE', + ) + + # Common Builtins Dataset + common_builtins = ( + # 16 common builtins + 'ABS', 'BOOLEAN', 'CARDINAL', 'CHAR', 'CHR', 'FALSE', 'INTEGER', + 'LONGINT', 'LONGREAL', 'MAX', 'MIN', 'NIL', 'ODD', 'ORD', 'REAL', + 'TRUE', + ) + + # Common Pseudo-Module Builtins Dataset + common_pseudo_builtins = ( + # 4 common pseudo builtins + 'ADDRESS', 'BYTE', 'WORD', 'ADR' + ) + +# P I M M o d u l a - 2 D a t a s e t s + + # Lexemes to Mark as Error Tokens for PIM Modula-2 + pim_lexemes_to_reject = ( + '!', '`', '@', '$', '%', '?', '\\', '==', '++', '--', '::', '*.', + '+>', '->', '<<', '>>', '|#', '##', + ) + + # PIM Modula-2 Additional Reserved Words Dataset + pim_additional_reserved_words = ( + # 3 additional reserved words + 'EXPORT', 'QUALIFIED', 'WITH', + ) + + # PIM Modula-2 Additional Builtins Dataset + pim_additional_builtins = ( + # 16 additional builtins + 'BITSET', 'CAP', 'DEC', 'DISPOSE', 'EXCL', 'FLOAT', 'HALT', 'HIGH', + 'INC', 'INCL', 'NEW', 'NIL', 'PROC', 'SIZE', 'TRUNC', 'VAL', + ) + + # PIM Modula-2 Additional Pseudo-Module Builtins Dataset + pim_additional_pseudo_builtins = ( + # 5 additional pseudo builtins + 'SYSTEM', 'PROCESS', 'TSIZE', 'NEWPROCESS', 'TRANSFER', + ) + +# I S O M o d u l a - 2 D a t a s e t s + + # Lexemes to Mark as Error Tokens for ISO Modula-2 + iso_lexemes_to_reject = ( + '`', '$', '%', '?', '\\', '==', '++', '--', '::', '*.', '+>', '->', + '<<', '>>', '|#', '##', + ) + + # ISO Modula-2 Additional Reserved Words Dataset + iso_additional_reserved_words = ( + # 9 additional reserved words (ISO 10514-1) + 'EXCEPT', 'EXPORT', 'FINALLY', 'FORWARD', 'PACKEDSET', 'QUALIFIED', + 'REM', 'RETRY', 'WITH', + # 10 additional reserved words (ISO 10514-2 & ISO 10514-3) + 'ABSTRACT', 'AS', 'CLASS', 'GUARD', 'INHERIT', 'OVERRIDE', 'READONLY', + 'REVEAL', 'TRACED', 'UNSAFEGUARDED', + ) + + # ISO Modula-2 Additional Builtins Dataset + iso_additional_builtins = ( + # 26 additional builtins (ISO 10514-1) + 'BITSET', 'CAP', 'CMPLX', 'COMPLEX', 'DEC', 'DISPOSE', 'EXCL', 'FLOAT', + 'HALT', 'HIGH', 'IM', 'INC', 'INCL', 'INT', 'INTERRUPTIBLE', 'LENGTH', + 'LFLOAT', 'LONGCOMPLEX', 'NEW', 'PROC', 'PROTECTION', 'RE', 'SIZE', + 'TRUNC', 'UNINTERRUBTIBLE', 'VAL', + # 5 additional builtins (ISO 10514-2 & ISO 10514-3) + 'CREATE', 'DESTROY', 'EMPTY', 'ISMEMBER', 'SELF', + ) + + # ISO Modula-2 Additional Pseudo-Module Builtins Dataset + iso_additional_pseudo_builtins = ( + # 14 additional builtins (SYSTEM) + 'SYSTEM', 'BITSPERLOC', 'LOCSPERBYTE', 'LOCSPERWORD', 'LOC', + 'ADDADR', 'SUBADR', 'DIFADR', 'MAKEADR', 'ADR', + 'ROTATE', 'SHIFT', 'CAST', 'TSIZE', + # 13 additional builtins (COROUTINES) + 'COROUTINES', 'ATTACH', 'COROUTINE', 'CURRENT', 'DETACH', 'HANDLER', + 'INTERRUPTSOURCE', 'IOTRANSFER', 'IsATTACHED', 'LISTEN', + 'NEWCOROUTINE', 'PROT', 'TRANSFER', + # 9 additional builtins (EXCEPTIONS) + 'EXCEPTIONS', 'AllocateSource', 'CurrentNumber', 'ExceptionNumber', + 'ExceptionSource', 'GetMessage', 'IsCurrentSource', + 'IsExceptionalExecution', 'RAISE', + # 3 additional builtins (TERMINATION) + 'TERMINATION', 'IsTerminating', 'HasHalted', + # 4 additional builtins (M2EXCEPTION) + 'M2EXCEPTION', 'M2Exceptions', 'M2Exception', 'IsM2Exception', + 'indexException', 'rangeException', 'caseSelectException', + 'invalidLocation', 'functionException', 'wholeValueException', + 'wholeDivException', 'realValueException', 'realDivException', + 'complexValueException', 'complexDivException', 'protException', + 'sysException', 'coException', 'exException', + ) + +# M o d u l a - 2 R 1 0 D a t a s e t s + + # Lexemes to Mark as Error Tokens for Modula-2 R10 + m2r10_lexemes_to_reject = ( + '!', '`', '@', '$', '%', '&', '<>', + ) + + # Modula-2 R10 reserved words in addition to the common set + m2r10_additional_reserved_words = ( + # 12 additional reserved words + 'ALIAS', 'ARGLIST', 'BLUEPRINT', 'COPY', 'GENLIB', 'INDETERMINATE', + 'NEW', 'NONE', 'OPAQUE', 'REFERENTIAL', 'RELEASE', 'RETAIN', + # 2 additional reserved words with symbolic assembly option + 'ASM', 'REG', + ) + + # Modula-2 R10 builtins in addition to the common set + m2r10_additional_builtins = ( + # 26 additional builtins + 'CARDINAL', 'COUNT', 'EMPTY', 'EXISTS', 'INSERT', 'LENGTH', 'LONGCARD', + 'OCTET', 'PTR', 'PRED', 'READ', 'READNEW', 'REMOVE', 'RETRIEVE', 'SORT', + 'STORE', 'SUBSET', 'SUCC', 'TLIMIT', 'TMAX', 'TMIN', 'TRUE', 'TSIZE', + 'UNICHAR', 'WRITE', 'WRITEF', + ) + + # Modula-2 R10 Additional Pseudo-Module Builtins Dataset + m2r10_additional_pseudo_builtins = ( + # 13 additional builtins (TPROPERTIES) + 'TPROPERTIES', 'PROPERTY', 'LITERAL', 'TPROPERTY', 'TLITERAL', + 'TBUILTIN', 'TDYN', 'TREFC', 'TNIL', 'TBASE', 'TPRECISION', + 'TMAXEXP', 'TMINEXP', + # 4 additional builtins (CONVERSION) + 'CONVERSION', 'TSXFSIZE', 'SXF', 'VAL', + # 35 additional builtins (UNSAFE) + 'UNSAFE', 'CAST', 'INTRINSIC', 'AVAIL', 'ADD', 'SUB', 'ADDC', 'SUBC', + 'FETCHADD', 'FETCHSUB', 'SHL', 'SHR', 'ASHR', 'ROTL', 'ROTR', 'ROTLC', + 'ROTRC', 'BWNOT', 'BWAND', 'BWOR', 'BWXOR', 'BWNAND', 'BWNOR', + 'SETBIT', 'TESTBIT', 'LSBIT', 'MSBIT', 'CSBITS', 'BAIL', 'HALT', + 'TODO', 'FFI', 'ADDR', 'VARGLIST', 'VARGC', + # 11 additional builtins (ATOMIC) + 'ATOMIC', 'INTRINSIC', 'AVAIL', 'SWAP', 'CAS', 'INC', 'DEC', 'BWAND', + 'BWNAND', 'BWOR', 'BWXOR', + # 7 additional builtins (COMPILER) + 'COMPILER', 'DEBUG', 'MODNAME', 'PROCNAME', 'LINENUM', 'DEFAULT', + 'HASH', + # 5 additional builtins (ASSEMBLER) + 'ASSEMBLER', 'REGISTER', 'SETREG', 'GETREG', 'CODE', + ) + +# O b j e c t i v e M o d u l a - 2 D a t a s e t s + + # Lexemes to Mark as Error Tokens for Objective Modula-2 + objm2_lexemes_to_reject = ( + '!', '$', '%', '&', '<>', + ) + + # Objective Modula-2 Extensions + # reserved words in addition to Modula-2 R10 + objm2_additional_reserved_words = ( + # 16 additional reserved words + 'BYCOPY', 'BYREF', 'CLASS', 'CONTINUE', 'CRITICAL', 'INOUT', 'METHOD', + 'ON', 'OPTIONAL', 'OUT', 'PRIVATE', 'PROTECTED', 'PROTOCOL', 'PUBLIC', + 'SUPER', 'TRY', + ) + + # Objective Modula-2 Extensions + # builtins in addition to Modula-2 R10 + objm2_additional_builtins = ( + # 3 additional builtins + 'OBJECT', 'NO', 'YES', + ) + + # Objective Modula-2 Extensions + # pseudo-module builtins in addition to Modula-2 R10 + objm2_additional_pseudo_builtins = ( + # None + ) + +# A g l e t M o d u l a - 2 D a t a s e t s + + # Aglet Extensions + # reserved words in addition to ISO Modula-2 + aglet_additional_reserved_words = ( + # None + ) + + # Aglet Extensions + # builtins in addition to ISO Modula-2 + aglet_additional_builtins = ( + # 9 additional builtins + 'BITSET8', 'BITSET16', 'BITSET32', 'CARDINAL8', 'CARDINAL16', + 'CARDINAL32', 'INTEGER8', 'INTEGER16', 'INTEGER32', + ) + + # Aglet Modula-2 Extensions + # pseudo-module builtins in addition to ISO Modula-2 + aglet_additional_pseudo_builtins = ( + # None + ) + +# G N U M o d u l a - 2 D a t a s e t s + + # GNU Extensions + # reserved words in addition to PIM Modula-2 + gm2_additional_reserved_words = ( + # 10 additional reserved words + 'ASM', '__ATTRIBUTE__', '__BUILTIN__', '__COLUMN__', '__DATE__', + '__FILE__', '__FUNCTION__', '__LINE__', '__MODULE__', 'VOLATILE', + ) + + # GNU Extensions + # builtins in addition to PIM Modula-2 + gm2_additional_builtins = ( + # 21 additional builtins + 'BITSET8', 'BITSET16', 'BITSET32', 'CARDINAL8', 'CARDINAL16', + 'CARDINAL32', 'CARDINAL64', 'COMPLEX32', 'COMPLEX64', 'COMPLEX96', + 'COMPLEX128', 'INTEGER8', 'INTEGER16', 'INTEGER32', 'INTEGER64', + 'REAL8', 'REAL16', 'REAL32', 'REAL96', 'REAL128', 'THROW', + ) + + # GNU Extensions + # pseudo-module builtins in addition to PIM Modula-2 + gm2_additional_pseudo_builtins = ( + # None + ) + +# p 1 M o d u l a - 2 D a t a s e t s + + # p1 Extensions + # reserved words in addition to ISO Modula-2 + p1_additional_reserved_words = ( + # None + ) + + # p1 Extensions + # builtins in addition to ISO Modula-2 + p1_additional_builtins = ( + # None + ) + + # p1 Modula-2 Extensions + # pseudo-module builtins in addition to ISO Modula-2 + p1_additional_pseudo_builtins = ( + # 1 additional builtin + 'BCD', + ) + +# X D S M o d u l a - 2 D a t a s e t s + + # XDS Extensions + # reserved words in addition to ISO Modula-2 + xds_additional_reserved_words = ( + # 1 additional reserved word + 'SEQ', + ) + + # XDS Extensions + # builtins in addition to ISO Modula-2 + xds_additional_builtins = ( + # 9 additional builtins + 'ASH', 'ASSERT', 'DIFFADR_TYPE', 'ENTIER', 'INDEX', 'LEN', + 'LONGCARD', 'SHORTCARD', 'SHORTINT', + ) + + # XDS Modula-2 Extensions + # pseudo-module builtins in addition to ISO Modula-2 + xds_additional_pseudo_builtins = ( + # 22 additional builtins (SYSTEM) + 'PROCESS', 'NEWPROCESS', 'BOOL8', 'BOOL16', 'BOOL32', 'CARD8', + 'CARD16', 'CARD32', 'INT8', 'INT16', 'INT32', 'REF', 'MOVE', + 'FILL', 'GET', 'PUT', 'CC', 'int', 'unsigned', 'size_t', 'void' + # 3 additional builtins (COMPILER) + 'COMPILER', 'OPTION', 'EQUATION' + ) + +# P I M S t a n d a r d L i b r a r y D a t a s e t s + + # PIM Modula-2 Standard Library Modules Dataset + pim_stdlib_module_identifiers = ( + 'Terminal', 'FileSystem', 'InOut', 'RealInOut', 'MathLib0', 'Storage', + ) + + # PIM Modula-2 Standard Library Types Dataset + pim_stdlib_type_identifiers = ( + 'Flag', 'FlagSet', 'Response', 'Command', 'Lock', 'Permission', + 'MediumType', 'File', 'FileProc', 'DirectoryProc', 'FileCommand', + 'DirectoryCommand', + ) + + # PIM Modula-2 Standard Library Procedures Dataset + pim_stdlib_proc_identifiers = ( + 'Read', 'BusyRead', 'ReadAgain', 'Write', 'WriteString', 'WriteLn', + 'Create', 'Lookup', 'Close', 'Delete', 'Rename', 'SetRead', 'SetWrite', + 'SetModify', 'SetOpen', 'Doio', 'SetPos', 'GetPos', 'Length', 'Reset', + 'Again', 'ReadWord', 'WriteWord', 'ReadChar', 'WriteChar', + 'CreateMedium', 'DeleteMedium', 'AssignName', 'DeassignName', + 'ReadMedium', 'LookupMedium', 'OpenInput', 'OpenOutput', 'CloseInput', + 'CloseOutput', 'ReadString', 'ReadInt', 'ReadCard', 'ReadWrd', + 'WriteInt', 'WriteCard', 'WriteOct', 'WriteHex', 'WriteWrd', + 'ReadReal', 'WriteReal', 'WriteFixPt', 'WriteRealOct', 'sqrt', 'exp', + 'ln', 'sin', 'cos', 'arctan', 'entier', 'ALLOCATE', 'DEALLOCATE', + ) + + # PIM Modula-2 Standard Library Variables Dataset + pim_stdlib_var_identifiers = ( + 'Done', 'termCH', 'in', 'out' + ) + + # PIM Modula-2 Standard Library Constants Dataset + pim_stdlib_const_identifiers = ( + 'EOL', + ) + +# I S O S t a n d a r d L i b r a r y D a t a s e t s + + # ISO Modula-2 Standard Library Modules Dataset + iso_stdlib_module_identifiers = ( + # TO DO + ) + + # ISO Modula-2 Standard Library Types Dataset + iso_stdlib_type_identifiers = ( + # TO DO + ) + + # ISO Modula-2 Standard Library Procedures Dataset + iso_stdlib_proc_identifiers = ( + # TO DO + ) + + # ISO Modula-2 Standard Library Variables Dataset + iso_stdlib_var_identifiers = ( + # TO DO + ) + + # ISO Modula-2 Standard Library Constants Dataset + iso_stdlib_const_identifiers = ( + # TO DO + ) + +# M 2 R 1 0 S t a n d a r d L i b r a r y D a t a s e t s + + # Modula-2 R10 Standard Library ADTs Dataset + m2r10_stdlib_adt_identifiers = ( + 'BCD', 'LONGBCD', 'BITSET', 'SHORTBITSET', 'LONGBITSET', + 'LONGLONGBITSET', 'COMPLEX', 'LONGCOMPLEX', 'SHORTCARD', 'LONGLONGCARD', + 'SHORTINT', 'LONGLONGINT', 'POSINT', 'SHORTPOSINT', 'LONGPOSINT', + 'LONGLONGPOSINT', 'BITSET8', 'BITSET16', 'BITSET32', 'BITSET64', + 'BITSET128', 'BS8', 'BS16', 'BS32', 'BS64', 'BS128', 'CARDINAL8', + 'CARDINAL16', 'CARDINAL32', 'CARDINAL64', 'CARDINAL128', 'CARD8', + 'CARD16', 'CARD32', 'CARD64', 'CARD128', 'INTEGER8', 'INTEGER16', + 'INTEGER32', 'INTEGER64', 'INTEGER128', 'INT8', 'INT16', 'INT32', + 'INT64', 'INT128', 'STRING', 'UNISTRING', + ) + + # Modula-2 R10 Standard Library Blueprints Dataset + m2r10_stdlib_blueprint_identifiers = ( + 'ProtoRoot', 'ProtoComputational', 'ProtoNumeric', 'ProtoScalar', + 'ProtoNonScalar', 'ProtoCardinal', 'ProtoInteger', 'ProtoReal', + 'ProtoComplex', 'ProtoVector', 'ProtoTuple', 'ProtoCompArray', + 'ProtoCollection', 'ProtoStaticArray', 'ProtoStaticSet', + 'ProtoStaticString', 'ProtoArray', 'ProtoString', 'ProtoSet', + 'ProtoMultiSet', 'ProtoDictionary', 'ProtoMultiDict', 'ProtoExtension', + 'ProtoIO', 'ProtoCardMath', 'ProtoIntMath', 'ProtoRealMath', + ) + + # Modula-2 R10 Standard Library Modules Dataset + m2r10_stdlib_module_identifiers = ( + 'ASCII', 'BooleanIO', 'CharIO', 'UnicharIO', 'OctetIO', + 'CardinalIO', 'LongCardIO', 'IntegerIO', 'LongIntIO', 'RealIO', + 'LongRealIO', 'BCDIO', 'LongBCDIO', 'CardMath', 'LongCardMath', + 'IntMath', 'LongIntMath', 'RealMath', 'LongRealMath', 'BCDMath', + 'LongBCDMath', 'FileIO', 'FileSystem', 'Storage', 'IOSupport', + ) + + # Modula-2 R10 Standard Library Types Dataset + m2r10_stdlib_type_identifiers = ( + 'File', 'Status', + # TO BE COMPLETED + ) + + # Modula-2 R10 Standard Library Procedures Dataset + m2r10_stdlib_proc_identifiers = ( + 'ALLOCATE', 'DEALLOCATE', 'SIZE', + # TO BE COMPLETED + ) + + # Modula-2 R10 Standard Library Variables Dataset + m2r10_stdlib_var_identifiers = ( + 'stdIn', 'stdOut', 'stdErr', + ) + + # Modula-2 R10 Standard Library Constants Dataset + m2r10_stdlib_const_identifiers = ( + 'pi', 'tau', + ) + +# D i a l e c t s + + # Dialect modes + dialects = ( + 'unknown', + 'm2pim', 'm2iso', 'm2r10', 'objm2', + 'm2iso+aglet', 'm2pim+gm2', 'm2iso+p1', 'm2iso+xds', + ) + +# D a t a b a s e s + + # Lexemes to Mark as Errors Database + lexemes_to_reject_db = { + # Lexemes to reject for unknown dialect + 'unknown': ( + # LEAVE THIS EMPTY + ), + # Lexemes to reject for PIM Modula-2 + 'm2pim': ( + pim_lexemes_to_reject, + ), + # Lexemes to reject for ISO Modula-2 + 'm2iso': ( + iso_lexemes_to_reject, + ), + # Lexemes to reject for Modula-2 R10 + 'm2r10': ( + m2r10_lexemes_to_reject, + ), + # Lexemes to reject for Objective Modula-2 + 'objm2': ( + objm2_lexemes_to_reject, + ), + # Lexemes to reject for Aglet Modula-2 + 'm2iso+aglet': ( + iso_lexemes_to_reject, + ), + # Lexemes to reject for GNU Modula-2 + 'm2pim+gm2': ( + pim_lexemes_to_reject, + ), + # Lexemes to reject for p1 Modula-2 + 'm2iso+p1': ( + iso_lexemes_to_reject, + ), + # Lexemes to reject for XDS Modula-2 + 'm2iso+xds': ( + iso_lexemes_to_reject, + ), + } + + # Reserved Words Database + reserved_words_db = { + # Reserved words for unknown dialect + 'unknown': ( + common_reserved_words, + pim_additional_reserved_words, + iso_additional_reserved_words, + m2r10_additional_reserved_words, + ), + + # Reserved words for PIM Modula-2 + 'm2pim': ( + common_reserved_words, + pim_additional_reserved_words, + ), + + # Reserved words for Modula-2 R10 + 'm2iso': ( + common_reserved_words, + iso_additional_reserved_words, + ), + + # Reserved words for ISO Modula-2 + 'm2r10': ( + common_reserved_words, + m2r10_additional_reserved_words, + ), + + # Reserved words for Objective Modula-2 + 'objm2': ( + common_reserved_words, + m2r10_additional_reserved_words, + objm2_additional_reserved_words, + ), + + # Reserved words for Aglet Modula-2 Extensions + 'm2iso+aglet': ( + common_reserved_words, + iso_additional_reserved_words, + aglet_additional_reserved_words, + ), + + # Reserved words for GNU Modula-2 Extensions + 'm2pim+gm2': ( + common_reserved_words, + pim_additional_reserved_words, + gm2_additional_reserved_words, + ), + + # Reserved words for p1 Modula-2 Extensions + 'm2iso+p1': ( + common_reserved_words, + iso_additional_reserved_words, + p1_additional_reserved_words, + ), + + # Reserved words for XDS Modula-2 Extensions + 'm2iso+xds': ( + common_reserved_words, + iso_additional_reserved_words, + xds_additional_reserved_words, + ), + } + + # Builtins Database + builtins_db = { + # Builtins for unknown dialect + 'unknown': ( + common_builtins, + pim_additional_builtins, + iso_additional_builtins, + m2r10_additional_builtins, + ), + + # Builtins for PIM Modula-2 + 'm2pim': ( + common_builtins, + pim_additional_builtins, + ), + + # Builtins for ISO Modula-2 + 'm2iso': ( + common_builtins, + iso_additional_builtins, + ), + + # Builtins for ISO Modula-2 + 'm2r10': ( + common_builtins, + m2r10_additional_builtins, + ), + + # Builtins for Objective Modula-2 + 'objm2': ( + common_builtins, + m2r10_additional_builtins, + objm2_additional_builtins, + ), + + # Builtins for Aglet Modula-2 Extensions + 'm2iso+aglet': ( + common_builtins, + iso_additional_builtins, + aglet_additional_builtins, + ), + + # Builtins for GNU Modula-2 Extensions + 'm2pim+gm2': ( + common_builtins, + pim_additional_builtins, + gm2_additional_builtins, + ), + + # Builtins for p1 Modula-2 Extensions + 'm2iso+p1': ( + common_builtins, + iso_additional_builtins, + p1_additional_builtins, + ), + + # Builtins for XDS Modula-2 Extensions + 'm2iso+xds': ( + common_builtins, + iso_additional_builtins, + xds_additional_builtins, + ), + } + + # Pseudo-Module Builtins Database + pseudo_builtins_db = { + # Builtins for unknown dialect + 'unknown': ( + common_pseudo_builtins, + pim_additional_pseudo_builtins, + iso_additional_pseudo_builtins, + m2r10_additional_pseudo_builtins, + ), + + # Builtins for PIM Modula-2 + 'm2pim': ( + common_pseudo_builtins, + pim_additional_pseudo_builtins, + ), + + # Builtins for ISO Modula-2 + 'm2iso': ( + common_pseudo_builtins, + iso_additional_pseudo_builtins, + ), + + # Builtins for ISO Modula-2 + 'm2r10': ( + common_pseudo_builtins, + m2r10_additional_pseudo_builtins, + ), + + # Builtins for Objective Modula-2 + 'objm2': ( + common_pseudo_builtins, + m2r10_additional_pseudo_builtins, + objm2_additional_pseudo_builtins, + ), + + # Builtins for Aglet Modula-2 Extensions + 'm2iso+aglet': ( + common_pseudo_builtins, + iso_additional_pseudo_builtins, + aglet_additional_pseudo_builtins, + ), + + # Builtins for GNU Modula-2 Extensions + 'm2pim+gm2': ( + common_pseudo_builtins, + pim_additional_pseudo_builtins, + gm2_additional_pseudo_builtins, + ), + + # Builtins for p1 Modula-2 Extensions + 'm2iso+p1': ( + common_pseudo_builtins, + iso_additional_pseudo_builtins, + p1_additional_pseudo_builtins, + ), + + # Builtins for XDS Modula-2 Extensions + 'm2iso+xds': ( + common_pseudo_builtins, + iso_additional_pseudo_builtins, + xds_additional_pseudo_builtins, + ), + } + + # Standard Library ADTs Database + stdlib_adts_db = { + # Empty entry for unknown dialect + 'unknown': ( + # LEAVE THIS EMPTY + ), + # Standard Library ADTs for PIM Modula-2 + 'm2pim': ( + # No first class library types + ), + + # Standard Library ADTs for ISO Modula-2 + 'm2iso': ( + # No first class library types + ), + + # Standard Library ADTs for Modula-2 R10 + 'm2r10': ( + m2r10_stdlib_adt_identifiers, + ), + + # Standard Library ADTs for Objective Modula-2 + 'objm2': ( + m2r10_stdlib_adt_identifiers, + ), + + # Standard Library ADTs for Aglet Modula-2 + 'm2iso+aglet': ( + # No first class library types + ), + + # Standard Library ADTs for GNU Modula-2 + 'm2pim+gm2': ( + # No first class library types + ), + + # Standard Library ADTs for p1 Modula-2 + 'm2iso+p1': ( + # No first class library types + ), + + # Standard Library ADTs for XDS Modula-2 + 'm2iso+xds': ( + # No first class library types + ), + } + + # Standard Library Modules Database + stdlib_modules_db = { + # Empty entry for unknown dialect + 'unknown': ( + # LEAVE THIS EMPTY + ), + # Standard Library Modules for PIM Modula-2 + 'm2pim': ( + pim_stdlib_module_identifiers, + ), + + # Standard Library Modules for ISO Modula-2 + 'm2iso': ( + iso_stdlib_module_identifiers, + ), + + # Standard Library Modules for Modula-2 R10 + 'm2r10': ( + m2r10_stdlib_blueprint_identifiers, + m2r10_stdlib_module_identifiers, + m2r10_stdlib_adt_identifiers, + ), + + # Standard Library Modules for Objective Modula-2 + 'objm2': ( + m2r10_stdlib_blueprint_identifiers, + m2r10_stdlib_module_identifiers, + ), + + # Standard Library Modules for Aglet Modula-2 + 'm2iso+aglet': ( + iso_stdlib_module_identifiers, + ), + + # Standard Library Modules for GNU Modula-2 + 'm2pim+gm2': ( + pim_stdlib_module_identifiers, + ), + + # Standard Library Modules for p1 Modula-2 + 'm2iso+p1': ( + iso_stdlib_module_identifiers, + ), + + # Standard Library Modules for XDS Modula-2 + 'm2iso+xds': ( + iso_stdlib_module_identifiers, + ), + } + + # Standard Library Types Database + stdlib_types_db = { + # Empty entry for unknown dialect + 'unknown': ( + # LEAVE THIS EMPTY + ), + # Standard Library Types for PIM Modula-2 + 'm2pim': ( + pim_stdlib_type_identifiers, + ), + + # Standard Library Types for ISO Modula-2 + 'm2iso': ( + iso_stdlib_type_identifiers, + ), + + # Standard Library Types for Modula-2 R10 + 'm2r10': ( + m2r10_stdlib_type_identifiers, + ), + + # Standard Library Types for Objective Modula-2 + 'objm2': ( + m2r10_stdlib_type_identifiers, + ), + + # Standard Library Types for Aglet Modula-2 + 'm2iso+aglet': ( + iso_stdlib_type_identifiers, + ), + + # Standard Library Types for GNU Modula-2 + 'm2pim+gm2': ( + pim_stdlib_type_identifiers, + ), + + # Standard Library Types for p1 Modula-2 + 'm2iso+p1': ( + iso_stdlib_type_identifiers, + ), + + # Standard Library Types for XDS Modula-2 + 'm2iso+xds': ( + iso_stdlib_type_identifiers, + ), + } + + # Standard Library Procedures Database + stdlib_procedures_db = { + # Empty entry for unknown dialect + 'unknown': ( + # LEAVE THIS EMPTY + ), + # Standard Library Procedures for PIM Modula-2 + 'm2pim': ( + pim_stdlib_proc_identifiers, + ), + + # Standard Library Procedures for ISO Modula-2 + 'm2iso': ( + iso_stdlib_proc_identifiers, + ), + + # Standard Library Procedures for Modula-2 R10 + 'm2r10': ( + m2r10_stdlib_proc_identifiers, + ), + + # Standard Library Procedures for Objective Modula-2 + 'objm2': ( + m2r10_stdlib_proc_identifiers, + ), + + # Standard Library Procedures for Aglet Modula-2 + 'm2iso+aglet': ( + iso_stdlib_proc_identifiers, + ), + + # Standard Library Procedures for GNU Modula-2 + 'm2pim+gm2': ( + pim_stdlib_proc_identifiers, + ), + + # Standard Library Procedures for p1 Modula-2 + 'm2iso+p1': ( + iso_stdlib_proc_identifiers, + ), + + # Standard Library Procedures for XDS Modula-2 + 'm2iso+xds': ( + iso_stdlib_proc_identifiers, + ), + } + + # Standard Library Variables Database + stdlib_variables_db = { + # Empty entry for unknown dialect + 'unknown': ( + # LEAVE THIS EMPTY + ), + # Standard Library Variables for PIM Modula-2 + 'm2pim': ( + pim_stdlib_var_identifiers, + ), + + # Standard Library Variables for ISO Modula-2 + 'm2iso': ( + iso_stdlib_var_identifiers, + ), + + # Standard Library Variables for Modula-2 R10 + 'm2r10': ( + m2r10_stdlib_var_identifiers, + ), + + # Standard Library Variables for Objective Modula-2 + 'objm2': ( + m2r10_stdlib_var_identifiers, + ), + + # Standard Library Variables for Aglet Modula-2 + 'm2iso+aglet': ( + iso_stdlib_var_identifiers, + ), + + # Standard Library Variables for GNU Modula-2 + 'm2pim+gm2': ( + pim_stdlib_var_identifiers, + ), + + # Standard Library Variables for p1 Modula-2 + 'm2iso+p1': ( + iso_stdlib_var_identifiers, + ), + + # Standard Library Variables for XDS Modula-2 + 'm2iso+xds': ( + iso_stdlib_var_identifiers, + ), + } + + # Standard Library Constants Database + stdlib_constants_db = { + # Empty entry for unknown dialect + 'unknown': ( + # LEAVE THIS EMPTY + ), + # Standard Library Constants for PIM Modula-2 + 'm2pim': ( + pim_stdlib_const_identifiers, + ), + + # Standard Library Constants for ISO Modula-2 + 'm2iso': ( + iso_stdlib_const_identifiers, + ), + + # Standard Library Constants for Modula-2 R10 + 'm2r10': ( + m2r10_stdlib_const_identifiers, + ), + + # Standard Library Constants for Objective Modula-2 + 'objm2': ( + m2r10_stdlib_const_identifiers, + ), + + # Standard Library Constants for Aglet Modula-2 + 'm2iso+aglet': ( + iso_stdlib_const_identifiers, + ), + + # Standard Library Constants for GNU Modula-2 + 'm2pim+gm2': ( + pim_stdlib_const_identifiers, + ), + + # Standard Library Constants for p1 Modula-2 + 'm2iso+p1': ( + iso_stdlib_const_identifiers, + ), + + # Standard Library Constants for XDS Modula-2 + 'm2iso+xds': ( + iso_stdlib_const_identifiers, + ), + } + +# M e t h o d s + + # initialise a lexer instance + def __init__(self, **options): + # + # check dialect options + # + dialects = get_list_opt(options, 'dialect', []) + # + for dialect_option in dialects: + if dialect_option in self.dialects[1:-1]: + # valid dialect option found + self.set_dialect(dialect_option) + break + # + # Fallback Mode (DEFAULT) + else: + # no valid dialect option + self.set_dialect('unknown') + # + self.dialect_set_by_tag = False + # + # check style options + # + styles = get_list_opt(options, 'style', []) + # + # use lowercase mode for Algol style + if 'algol' in styles or 'algol_nu' in styles: + self.algol_publication_mode = True + else: + self.algol_publication_mode = False + # + # Check option flags + # + self.treat_stdlib_adts_as_builtins = get_bool_opt( + options, 'treat_stdlib_adts_as_builtins', True) + # + # call superclass initialiser + RegexLexer.__init__(self, **options) + + # Set lexer to a specified dialect + def set_dialect(self, dialect_id): + # + # if __debug__: + # print 'entered set_dialect with arg: ', dialect_id + # + # check dialect name against known dialects + if dialect_id not in self.dialects: + dialect = 'unknown' # default + else: + dialect = dialect_id + # + # compose lexemes to reject set + lexemes_to_reject_set = set() + # add each list of reject lexemes for this dialect + for list in self.lexemes_to_reject_db[dialect]: + lexemes_to_reject_set.update(set(list)) + # + # compose reserved words set + reswords_set = set() + # add each list of reserved words for this dialect + for list in self.reserved_words_db[dialect]: + reswords_set.update(set(list)) + # + # compose builtins set + builtins_set = set() + # add each list of builtins for this dialect excluding reserved words + for list in self.builtins_db[dialect]: + builtins_set.update(set(list).difference(reswords_set)) + # + # compose pseudo-builtins set + pseudo_builtins_set = set() + # add each list of builtins for this dialect excluding reserved words + for list in self.pseudo_builtins_db[dialect]: + pseudo_builtins_set.update(set(list).difference(reswords_set)) + # + # compose ADTs set + adts_set = set() + # add each list of ADTs for this dialect excluding reserved words + for list in self.stdlib_adts_db[dialect]: + adts_set.update(set(list).difference(reswords_set)) + # + # compose modules set + modules_set = set() + # add each list of builtins for this dialect excluding builtins + for list in self.stdlib_modules_db[dialect]: + modules_set.update(set(list).difference(builtins_set)) + # + # compose types set + types_set = set() + # add each list of types for this dialect excluding builtins + for list in self.stdlib_types_db[dialect]: + types_set.update(set(list).difference(builtins_set)) + # + # compose procedures set + procedures_set = set() + # add each list of procedures for this dialect excluding builtins + for list in self.stdlib_procedures_db[dialect]: + procedures_set.update(set(list).difference(builtins_set)) + # + # compose variables set + variables_set = set() + # add each list of variables for this dialect excluding builtins + for list in self.stdlib_variables_db[dialect]: + variables_set.update(set(list).difference(builtins_set)) + # + # compose constants set + constants_set = set() + # add each list of constants for this dialect excluding builtins + for list in self.stdlib_constants_db[dialect]: + constants_set.update(set(list).difference(builtins_set)) + # + # update lexer state + self.dialect = dialect + self.lexemes_to_reject = lexemes_to_reject_set + self.reserved_words = reswords_set + self.builtins = builtins_set + self.pseudo_builtins = pseudo_builtins_set + self.adts = adts_set + self.modules = modules_set + self.types = types_set + self.procedures = procedures_set + self.variables = variables_set + self.constants = constants_set + # + # if __debug__: + # print 'exiting set_dialect' + # print ' self.dialect: ', self.dialect + # print ' self.lexemes_to_reject: ', self.lexemes_to_reject + # print ' self.reserved_words: ', self.reserved_words + # print ' self.builtins: ', self.builtins + # print ' self.pseudo_builtins: ', self.pseudo_builtins + # print ' self.adts: ', self.adts + # print ' self.modules: ', self.modules + # print ' self.types: ', self.types + # print ' self.procedures: ', self.procedures + # print ' self.variables: ', self.variables + # print ' self.types: ', self.types + # print ' self.constants: ', self.constants + + # Extracts a dialect name from a dialect tag comment string and checks + # the extracted name against known dialects. If a match is found, the + # matching name is returned, otherwise dialect id 'unknown' is returned + def get_dialect_from_dialect_tag(self, dialect_tag): + # + # if __debug__: + # print 'entered get_dialect_from_dialect_tag with arg: ', dialect_tag + # + # constants + left_tag_delim = '(*!' + right_tag_delim = '*)' + left_tag_delim_len = len(left_tag_delim) + right_tag_delim_len = len(right_tag_delim) + indicator_start = left_tag_delim_len + indicator_end = -(right_tag_delim_len) + # + # check comment string for dialect indicator + if len(dialect_tag) > (left_tag_delim_len + right_tag_delim_len) \ + and dialect_tag.startswith(left_tag_delim) \ + and dialect_tag.endswith(right_tag_delim): + # + # if __debug__: + # print 'dialect tag found' + # + # extract dialect indicator + indicator = dialect_tag[indicator_start:indicator_end] + # + # if __debug__: + # print 'extracted: ', indicator + # + # check against known dialects + for index in range(1, len(self.dialects)): + # + # if __debug__: + # print 'dialects[', index, ']: ', self.dialects[index] + # + if indicator == self.dialects[index]: + # + # if __debug__: + # print 'matching dialect found' + # + # indicator matches known dialect + return indicator + else: + # indicator does not match any dialect + return 'unknown' # default + else: + # invalid indicator string + return 'unknown' # default + + # intercept the token stream, modify token attributes and return them + def get_tokens_unprocessed(self, text): + for index, token, value in RegexLexer.get_tokens_unprocessed(self, text): + # + # check for dialect tag if dialect has not been set by tag + if not self.dialect_set_by_tag and token == Comment.Special: + indicated_dialect = self.get_dialect_from_dialect_tag(value) + if indicated_dialect != 'unknown': + # token is a dialect indicator + # reset reserved words and builtins + self.set_dialect(indicated_dialect) + self.dialect_set_by_tag = True + # + # check for reserved words, predefined and stdlib identifiers + if token is Name: + if value in self.reserved_words: + token = Keyword.Reserved + if self.algol_publication_mode: + value = value.lower() + # + elif value in self.builtins: + token = Name.Builtin + if self.algol_publication_mode: + value = value.lower() + # + elif value in self.pseudo_builtins: + token = Name.Builtin.Pseudo + if self.algol_publication_mode: + value = value.lower() + # + elif value in self.adts: + if not self.treat_stdlib_adts_as_builtins: + token = Name.Namespace + else: + token = Name.Builtin.Pseudo + if self.algol_publication_mode: + value = value.lower() + # + elif value in self.modules: + token = Name.Namespace + # + elif value in self.types: + token = Name.Class + # + elif value in self.procedures: + token = Name.Function + # + elif value in self.variables: + token = Name.Variable + # + elif value in self.constants: + token = Name.Constant + # + elif token in Number: + # + # mark prefix number literals as error for PIM and ISO dialects + if self.dialect not in ('unknown', 'm2r10', 'objm2'): + if "'" in value or value[0:2] in ('0b', '0x', '0u'): + token = Error + # + elif self.dialect in ('m2r10', 'objm2'): + # mark base-8 number literals as errors for M2 R10 and ObjM2 + if token is Number.Oct: + token = Error + # mark suffix base-16 literals as errors for M2 R10 and ObjM2 + elif token is Number.Hex and 'H' in value: + token = Error + # mark real numbers with E as errors for M2 R10 and ObjM2 + elif token is Number.Float and 'E' in value: + token = Error + # + elif token in Comment: + # + # mark single line comment as error for PIM and ISO dialects + if token is Comment.Single: + if self.dialect not in ('unknown', 'm2r10', 'objm2'): + token = Error + # + if token is Comment.Preproc: + # mark ISO pragma as error for PIM dialects + if value.startswith('<*') and \ + self.dialect.startswith('m2pim'): + token = Error + # mark PIM pragma as comment for other dialects + elif value.startswith('(*$') and \ + self.dialect != 'unknown' and \ + not self.dialect.startswith('m2pim'): + token = Comment.Multiline + # + else: # token is neither Name nor Comment + # + # mark lexemes matching the dialect's error token set as errors + if value in self.lexemes_to_reject: + token = Error + # + # substitute lexemes when in Algol mode + if self.algol_publication_mode: + if value == '#': + value = u'≠' + elif value == '<=': + value = u'≤' + elif value == '>=': + value = u'≥' + elif value == '==': + value = u'≡' + elif value == '*.': + value = u'•' + + # return result + yield index, token, value diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/monte.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/monte.py new file mode 100644 index 0000000000000000000000000000000000000000..ed6e20f86fc36f564773d0908eef91bdbdfcd334 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/monte.py @@ -0,0 +1,204 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.monte + ~~~~~~~~~~~~~~~~~~~~~ + + Lexer for the Monte programming language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.token import Comment, Error, Keyword, Name, Number, Operator, \ + Punctuation, String, Whitespace +from pygments.lexer import RegexLexer, include, words + +__all__ = ['MonteLexer'] + + +# `var` handled separately +# `interface` handled separately +_declarations = ['bind', 'def', 'fn', 'object'] +_methods = ['method', 'to'] +_keywords = [ + 'as', 'break', 'catch', 'continue', 'else', 'escape', 'exit', 'exports', + 'extends', 'finally', 'for', 'guards', 'if', 'implements', 'import', + 'in', 'match', 'meta', 'pass', 'return', 'switch', 'try', 'via', 'when', + 'while', +] +_operators = [ + # Unary + '~', '!', + # Binary + '+', '-', '*', '/', '%', '**', '&', '|', '^', '<<', '>>', + # Binary augmented + '+=', '-=', '*=', '/=', '%=', '**=', '&=', '|=', '^=', '<<=', '>>=', + # Comparison + '==', '!=', '<', '<=', '>', '>=', '<=>', + # Patterns and assignment + ':=', '?', '=~', '!~', '=>', + # Calls and sends + '.', '<-', '->', +] +_escape_pattern = ( + r'(?:\\x[0-9a-fA-F]{2}|\\u[0-9a-fA-F]{4}|\\U[0-9a-fA-F]{8}|' + r'\\["\'\\bftnr])') +# _char = _escape_chars + [('.', String.Char)] +_identifier = r'[_a-zA-Z]\w*' + +_constants = [ + # Void constants + 'null', + # Bool constants + 'false', 'true', + # Double constants + 'Infinity', 'NaN', + # Special objects + 'M', 'Ref', 'throw', 'traceln', +] + +_guards = [ + 'Any', 'Binding', 'Bool', 'Bytes', 'Char', 'DeepFrozen', 'Double', + 'Empty', 'Int', 'List', 'Map', 'Near', 'NullOk', 'Same', 'Selfless', + 'Set', 'Str', 'SubrangeGuard', 'Transparent', 'Void', +] + +_safeScope = [ + '_accumulateList', '_accumulateMap', '_auditedBy', '_bind', + '_booleanFlow', '_comparer', '_equalizer', '_iterForever', '_loop', + '_makeBytes', '_makeDouble', '_makeFinalSlot', '_makeInt', '_makeList', + '_makeMap', '_makeMessageDesc', '_makeOrderedSpace', '_makeParamDesc', + '_makeProtocolDesc', '_makeSourceSpan', '_makeString', '_makeVarSlot', + '_makeVerbFacet', '_mapExtract', '_matchSame', '_quasiMatcher', + '_slotToBinding', '_splitList', '_suchThat', '_switchFailed', + '_validateFor', 'b__quasiParser', 'eval', 'import', 'm__quasiParser', + 'makeBrandPair', 'makeLazySlot', 'safeScope', 'simple__quasiParser', +] + + +class MonteLexer(RegexLexer): + """ + Lexer for the `Monte `_ programming language. + + .. versionadded:: 2.2 + """ + name = 'Monte' + aliases = ['monte'] + filenames = ['*.mt'] + + tokens = { + 'root': [ + # Comments + (r'#[^\n]*\n', Comment), + + # Docstrings + # Apologies for the non-greedy matcher here. + (r'/\*\*.*?\*/', String.Doc), + + # `var` declarations + (r'\bvar\b', Keyword.Declaration, 'var'), + + # `interface` declarations + (r'\binterface\b', Keyword.Declaration, 'interface'), + + # method declarations + (words(_methods, prefix='\\b', suffix='\\b'), + Keyword, 'method'), + + # All other declarations + (words(_declarations, prefix='\\b', suffix='\\b'), + Keyword.Declaration), + + # Keywords + (words(_keywords, prefix='\\b', suffix='\\b'), Keyword), + + # Literals + ('[+-]?0x[_0-9a-fA-F]+', Number.Hex), + (r'[+-]?[_0-9]+\.[_0-9]*([eE][+-]?[_0-9]+)?', Number.Float), + ('[+-]?[_0-9]+', Number.Integer), + ("'", String.Double, 'char'), + ('"', String.Double, 'string'), + + # Quasiliterals + ('`', String.Backtick, 'ql'), + + # Operators + (words(_operators), Operator), + + # Verb operators + (_identifier + '=', Operator.Word), + + # Safe scope constants + (words(_constants, prefix='\\b', suffix='\\b'), + Keyword.Pseudo), + + # Safe scope guards + (words(_guards, prefix='\\b', suffix='\\b'), Keyword.Type), + + # All other safe scope names + (words(_safeScope, prefix='\\b', suffix='\\b'), + Name.Builtin), + + # Identifiers + (_identifier, Name), + + # Punctuation + (r'\(|\)|\{|\}|\[|\]|:|,', Punctuation), + + # Whitespace + (' +', Whitespace), + + # Definite lexer errors + ('=', Error), + ], + 'char': [ + # It is definitely an error to have a char of width == 0. + ("'", Error, 'root'), + (_escape_pattern, String.Escape, 'charEnd'), + ('.', String.Char, 'charEnd'), + ], + 'charEnd': [ + ("'", String.Char, '#pop:2'), + # It is definitely an error to have a char of width > 1. + ('.', Error), + ], + # The state of things coming into an interface. + 'interface': [ + (' +', Whitespace), + (_identifier, Name.Class, '#pop'), + include('root'), + ], + # The state of things coming into a method. + 'method': [ + (' +', Whitespace), + (_identifier, Name.Function, '#pop'), + include('root'), + ], + 'string': [ + ('"', String.Double, 'root'), + (_escape_pattern, String.Escape), + (r'\n', String.Double), + ('.', String.Double), + ], + 'ql': [ + ('`', String.Backtick, 'root'), + (r'\$' + _escape_pattern, String.Escape), + (r'\$\$', String.Escape), + (r'@@', String.Escape), + (r'\$\{', String.Interpol, 'qlNest'), + (r'@\{', String.Interpol, 'qlNest'), + (r'\$' + _identifier, Name), + ('@' + _identifier, Name), + ('.', String.Backtick), + ], + 'qlNest': [ + (r'\}', String.Interpol, '#pop'), + include('root'), + ], + # The state of things immediately following `var`. + 'var': [ + (' +', Whitespace), + (_identifier, Name.Variable, '#pop'), + include('root'), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ncl.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ncl.py new file mode 100644 index 0000000000000000000000000000000000000000..3ca5135cc1bb1e375af8e05fb2fa1a31be68df9a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ncl.py @@ -0,0 +1,894 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.ncl + ~~~~~~~~~~~~~~~~~~~ + + Lexers for NCAR Command Language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation + +__all__ = ['NCLLexer'] + + +class NCLLexer(RegexLexer): + """ + Lexer for NCL code. + + .. versionadded:: 2.2 + """ + name = 'NCL' + aliases = ['ncl'] + filenames = ['*.ncl'] + mimetypes = ['text/ncl'] + flags = re.MULTILINE + + tokens = { + 'root': [ + (r';.*\n', Comment), + include('strings'), + include('core'), + (r'[a-zA-Z_]\w*', Name), + include('nums'), + (r'[\s]+', Text), + ], + 'core': [ + # Statements + (words(( + 'begin', 'break', 'continue', 'create', 'defaultapp', 'do', + 'else', 'end', 'external', 'exit', 'True', 'False', 'file', 'function', + 'getvalues', 'graphic', 'group', 'if', 'list', 'load', 'local', + 'new', '_Missing', 'Missing', 'noparent', 'procedure', + 'quit', 'QUIT', 'Quit', 'record', 'return', 'setvalues', 'stop', + 'then', 'while'), prefix=r'\b', suffix=r'\s*\b'), + Keyword), + + # Data Types + (words(( + 'ubyte', 'uint', 'uint64', 'ulong', 'string', 'byte', + 'character', 'double', 'float', 'integer', 'int64', 'logical', + 'long', 'short', 'ushort', 'enumeric', 'numeric', 'snumeric'), + prefix=r'\b', suffix=r'\s*\b'), + Keyword.Type), + + # Operators + (r'[\%^*+\-/<>]', Operator), + + # punctuation: + (r'[\[\]():@$!&|.,\\{}]', Punctuation), + (r'[=:]', Punctuation), + + # Intrinsics + (words(( + 'abs', 'acos', 'addfile', 'addfiles', 'all', 'angmom_atm', 'any', + 'area_conserve_remap', 'area_hi2lores', 'area_poly_sphere', + 'asciiread', 'asciiwrite', 'asin', 'atan', 'atan2', 'attsetvalues', + 'avg', 'betainc', 'bin_avg', 'bin_sum', 'bw_bandpass_filter', + 'cancor', 'cbinread', 'cbinwrite', 'cd_calendar', 'cd_inv_calendar', + 'cdfbin_p', 'cdfbin_pr', 'cdfbin_s', 'cdfbin_xn', 'cdfchi_p', + 'cdfchi_x', 'cdfgam_p', 'cdfgam_x', 'cdfnor_p', 'cdfnor_x', + 'cdft_p', 'cdft_t', 'ceil', 'center_finite_diff', + 'center_finite_diff_n', 'cfftb', 'cfftf', 'cfftf_frq_reorder', + 'charactertodouble', 'charactertofloat', 'charactertointeger', + 'charactertolong', 'charactertoshort', 'charactertostring', + 'chartodouble', 'chartofloat', 'chartoint', 'chartointeger', + 'chartolong', 'chartoshort', 'chartostring', 'chiinv', 'clear', + 'color_index_to_rgba', 'conform', 'conform_dims', 'cos', 'cosh', + 'count_unique_values', 'covcorm', 'covcorm_xy', 'craybinnumrec', + 'craybinrecread', 'create_graphic', 'csa1', 'csa1d', 'csa1s', + 'csa1x', 'csa1xd', 'csa1xs', 'csa2', 'csa2d', 'csa2l', 'csa2ld', + 'csa2ls', 'csa2lx', 'csa2lxd', 'csa2lxs', 'csa2s', 'csa2x', + 'csa2xd', 'csa2xs', 'csa3', 'csa3d', 'csa3l', 'csa3ld', 'csa3ls', + 'csa3lx', 'csa3lxd', 'csa3lxs', 'csa3s', 'csa3x', 'csa3xd', + 'csa3xs', 'csc2s', 'csgetp', 'css2c', 'cssetp', 'cssgrid', 'csstri', + 'csvoro', 'cumsum', 'cz2ccm', 'datatondc', 'day_of_week', + 'day_of_year', 'days_in_month', 'default_fillvalue', 'delete', + 'depth_to_pres', 'destroy', 'determinant', 'dewtemp_trh', + 'dgeevx_lapack', 'dim_acumrun_n', 'dim_avg', 'dim_avg_n', + 'dim_avg_wgt', 'dim_avg_wgt_n', 'dim_cumsum', 'dim_cumsum_n', + 'dim_gamfit_n', 'dim_gbits', 'dim_max', 'dim_max_n', 'dim_median', + 'dim_median_n', 'dim_min', 'dim_min_n', 'dim_num', 'dim_num_n', + 'dim_numrun_n', 'dim_pqsort', 'dim_pqsort_n', 'dim_product', + 'dim_product_n', 'dim_rmsd', 'dim_rmsd_n', 'dim_rmvmean', + 'dim_rmvmean_n', 'dim_rmvmed', 'dim_rmvmed_n', 'dim_spi_n', + 'dim_standardize', 'dim_standardize_n', 'dim_stat4', 'dim_stat4_n', + 'dim_stddev', 'dim_stddev_n', 'dim_sum', 'dim_sum_n', 'dim_sum_wgt', + 'dim_sum_wgt_n', 'dim_variance', 'dim_variance_n', 'dimsizes', + 'doubletobyte', 'doubletochar', 'doubletocharacter', + 'doubletofloat', 'doubletoint', 'doubletointeger', 'doubletolong', + 'doubletoshort', 'dpres_hybrid_ccm', 'dpres_plevel', 'draw', + 'draw_color_palette', 'dsgetp', 'dsgrid2', 'dsgrid2d', 'dsgrid2s', + 'dsgrid3', 'dsgrid3d', 'dsgrid3s', 'dspnt2', 'dspnt2d', 'dspnt2s', + 'dspnt3', 'dspnt3d', 'dspnt3s', 'dssetp', 'dtrend', 'dtrend_msg', + 'dtrend_msg_n', 'dtrend_n', 'dtrend_quadratic', + 'dtrend_quadratic_msg_n', 'dv2uvf', 'dv2uvg', 'dz_height', + 'echo_off', 'echo_on', 'eof2data', 'eof_varimax', 'eofcor', + 'eofcor_pcmsg', 'eofcor_ts', 'eofcov', 'eofcov_pcmsg', 'eofcov_ts', + 'eofunc', 'eofunc_ts', 'eofunc_varimax', 'equiv_sample_size', 'erf', + 'erfc', 'esacr', 'esacv', 'esccr', 'esccv', 'escorc', 'escorc_n', + 'escovc', 'exit', 'exp', 'exp_tapersh', 'exp_tapersh_wgts', + 'exp_tapershC', 'ezfftb', 'ezfftb_n', 'ezfftf', 'ezfftf_n', + 'f2fosh', 'f2foshv', 'f2fsh', 'f2fshv', 'f2gsh', 'f2gshv', 'fabs', + 'fbindirread', 'fbindirwrite', 'fbinnumrec', 'fbinread', + 'fbinrecread', 'fbinrecwrite', 'fbinwrite', 'fft2db', 'fft2df', + 'fftshift', 'fileattdef', 'filechunkdimdef', 'filedimdef', + 'fileexists', 'filegrpdef', 'filevarattdef', 'filevarchunkdef', + 'filevarcompressleveldef', 'filevardef', 'filevardimsizes', + 'filwgts_lancos', 'filwgts_lanczos', 'filwgts_normal', + 'floattobyte', 'floattochar', 'floattocharacter', 'floattoint', + 'floattointeger', 'floattolong', 'floattoshort', 'floor', + 'fluxEddy', 'fo2fsh', 'fo2fshv', 'fourier_info', 'frame', 'fspan', + 'ftcurv', 'ftcurvd', 'ftcurvi', 'ftcurvp', 'ftcurvpi', 'ftcurvps', + 'ftcurvs', 'ftest', 'ftgetp', 'ftkurv', 'ftkurvd', 'ftkurvp', + 'ftkurvpd', 'ftsetp', 'ftsurf', 'g2fsh', 'g2fshv', 'g2gsh', + 'g2gshv', 'gamma', 'gammainc', 'gaus', 'gaus_lobat', + 'gaus_lobat_wgt', 'gc_aangle', 'gc_clkwise', 'gc_dangle', + 'gc_inout', 'gc_latlon', 'gc_onarc', 'gc_pnt2gc', 'gc_qarea', + 'gc_tarea', 'generate_2d_array', 'get_color_index', + 'get_color_rgba', 'get_cpu_time', 'get_isolines', 'get_ncl_version', + 'get_script_name', 'get_script_prefix_name', 'get_sphere_radius', + 'get_unique_values', 'getbitsone', 'getenv', 'getfiledimsizes', + 'getfilegrpnames', 'getfilepath', 'getfilevaratts', + 'getfilevarchunkdimsizes', 'getfilevardims', 'getfilevardimsizes', + 'getfilevarnames', 'getfilevartypes', 'getvaratts', 'getvardims', + 'gradsf', 'gradsg', 'greg2jul', 'grid2triple', 'hlsrgb', 'hsvrgb', + 'hydro', 'hyi2hyo', 'idsfft', 'igradsf', 'igradsg', 'ilapsf', + 'ilapsg', 'ilapvf', 'ilapvg', 'ind', 'ind_resolve', 'int2p', + 'int2p_n', 'integertobyte', 'integertochar', 'integertocharacter', + 'integertoshort', 'inttobyte', 'inttochar', 'inttoshort', + 'inverse_matrix', 'isatt', 'isbigendian', 'isbyte', 'ischar', + 'iscoord', 'isdefined', 'isdim', 'isdimnamed', 'isdouble', + 'isenumeric', 'isfile', 'isfilepresent', 'isfilevar', + 'isfilevaratt', 'isfilevarcoord', 'isfilevardim', 'isfloat', + 'isfunc', 'isgraphic', 'isint', 'isint64', 'isinteger', + 'isleapyear', 'islogical', 'islong', 'ismissing', 'isnan_ieee', + 'isnumeric', 'ispan', 'isproc', 'isshort', 'issnumeric', 'isstring', + 'isubyte', 'isuint', 'isuint64', 'isulong', 'isunlimited', + 'isunsigned', 'isushort', 'isvar', 'jul2greg', 'kmeans_as136', + 'kolsm2_n', 'kron_product', 'lapsf', 'lapsg', 'lapvf', 'lapvg', + 'latlon2utm', 'lclvl', 'lderuvf', 'lderuvg', 'linint1', 'linint1_n', + 'linint2', 'linint2_points', 'linmsg', 'linmsg_n', 'linrood_latwgt', + 'linrood_wgt', 'list_files', 'list_filevars', 'list_hlus', + 'list_procfuncs', 'list_vars', 'ListAppend', 'ListCount', + 'ListGetType', 'ListIndex', 'ListIndexFromName', 'ListPop', + 'ListPush', 'ListSetType', 'loadscript', 'local_max', 'local_min', + 'log', 'log10', 'longtobyte', 'longtochar', 'longtocharacter', + 'longtoint', 'longtointeger', 'longtoshort', 'lspoly', 'lspoly_n', + 'mask', 'max', 'maxind', 'min', 'minind', 'mixed_layer_depth', + 'mixhum_ptd', 'mixhum_ptrh', 'mjo_cross_coh2pha', + 'mjo_cross_segment', 'moc_globe_atl', 'monthday', 'natgrid', + 'natgridd', 'natgrids', 'ncargpath', 'ncargversion', 'ndctodata', + 'ndtooned', 'new', 'NewList', 'ngezlogo', 'nggcog', 'nggetp', + 'nglogo', 'ngsetp', 'NhlAddAnnotation', 'NhlAddData', + 'NhlAddOverlay', 'NhlAddPrimitive', 'NhlAppGetDefaultParentId', + 'NhlChangeWorkstation', 'NhlClassName', 'NhlClearWorkstation', + 'NhlDataPolygon', 'NhlDataPolyline', 'NhlDataPolymarker', + 'NhlDataToNDC', 'NhlDestroy', 'NhlDraw', 'NhlFrame', 'NhlFreeColor', + 'NhlGetBB', 'NhlGetClassResources', 'NhlGetErrorObjectId', + 'NhlGetNamedColorIndex', 'NhlGetParentId', + 'NhlGetParentWorkstation', 'NhlGetWorkspaceObjectId', + 'NhlIsAllocatedColor', 'NhlIsApp', 'NhlIsDataComm', 'NhlIsDataItem', + 'NhlIsDataSpec', 'NhlIsTransform', 'NhlIsView', 'NhlIsWorkstation', + 'NhlName', 'NhlNDCPolygon', 'NhlNDCPolyline', 'NhlNDCPolymarker', + 'NhlNDCToData', 'NhlNewColor', 'NhlNewDashPattern', 'NhlNewMarker', + 'NhlPalGetDefined', 'NhlRemoveAnnotation', 'NhlRemoveData', + 'NhlRemoveOverlay', 'NhlRemovePrimitive', 'NhlSetColor', + 'NhlSetDashPattern', 'NhlSetMarker', 'NhlUpdateData', + 'NhlUpdateWorkstation', 'nice_mnmxintvl', 'nngetaspectd', + 'nngetaspects', 'nngetp', 'nngetsloped', 'nngetslopes', 'nngetwts', + 'nngetwtsd', 'nnpnt', 'nnpntd', 'nnpntend', 'nnpntendd', + 'nnpntinit', 'nnpntinitd', 'nnpntinits', 'nnpnts', 'nnsetp', 'num', + 'obj_anal_ic', 'omega_ccm', 'onedtond', 'overlay', 'paleo_outline', + 'pdfxy_bin', 'poisson_grid_fill', 'pop_remap', 'potmp_insitu_ocn', + 'prcwater_dp', 'pres2hybrid', 'pres_hybrid_ccm', 'pres_sigma', + 'print', 'print_table', 'printFileVarSummary', 'printVarSummary', + 'product', 'pslec', 'pslhor', 'pslhyp', 'qsort', 'rand', + 'random_chi', 'random_gamma', 'random_normal', 'random_setallseed', + 'random_uniform', 'rcm2points', 'rcm2rgrid', 'rdsstoi', + 'read_colormap_file', 'reg_multlin', 'regcoef', 'regCoef_n', + 'regline', 'relhum', 'replace_ieeenan', 'reshape', 'reshape_ind', + 'rgba_to_color_index', 'rgbhls', 'rgbhsv', 'rgbyiq', 'rgrid2rcm', + 'rhomb_trunc', 'rip_cape_2d', 'rip_cape_3d', 'round', 'rtest', + 'runave', 'runave_n', 'set_default_fillvalue', 'set_sphere_radius', + 'setfileoption', 'sfvp2uvf', 'sfvp2uvg', 'shaec', 'shagc', + 'shgetnp', 'shgetp', 'shgrid', 'shorttobyte', 'shorttochar', + 'shorttocharacter', 'show_ascii', 'shsec', 'shsetp', 'shsgc', + 'shsgc_R42', 'sigma2hybrid', 'simpeq', 'simpne', 'sin', + 'sindex_yrmo', 'sinh', 'sizeof', 'sleep', 'smth9', 'snindex_yrmo', + 'solve_linsys', 'span_color_indexes', 'span_color_rgba', + 'sparse_matrix_mult', 'spcorr', 'spcorr_n', 'specx_anal', + 'specxy_anal', 'spei', 'sprintf', 'sprinti', 'sqrt', 'sqsort', + 'srand', 'stat2', 'stat4', 'stat_medrng', 'stat_trim', + 'status_exit', 'stdatmus_p2tdz', 'stdatmus_z2tdp', 'stddev', + 'str_capital', 'str_concat', 'str_fields_count', 'str_get_cols', + 'str_get_dq', 'str_get_field', 'str_get_nl', 'str_get_sq', + 'str_get_tab', 'str_index_of_substr', 'str_insert', 'str_is_blank', + 'str_join', 'str_left_strip', 'str_lower', 'str_match', + 'str_match_ic', 'str_match_ic_regex', 'str_match_ind', + 'str_match_ind_ic', 'str_match_ind_ic_regex', 'str_match_ind_regex', + 'str_match_regex', 'str_right_strip', 'str_split', + 'str_split_by_length', 'str_split_csv', 'str_squeeze', 'str_strip', + 'str_sub_str', 'str_switch', 'str_upper', 'stringtochar', + 'stringtocharacter', 'stringtodouble', 'stringtofloat', + 'stringtoint', 'stringtointeger', 'stringtolong', 'stringtoshort', + 'strlen', 'student_t', 'sum', 'svd_lapack', 'svdcov', 'svdcov_sv', + 'svdstd', 'svdstd_sv', 'system', 'systemfunc', 'tan', 'tanh', + 'taper', 'taper_n', 'tdclrs', 'tdctri', 'tdcudp', 'tdcurv', + 'tddtri', 'tdez2d', 'tdez3d', 'tdgetp', 'tdgrds', 'tdgrid', + 'tdgtrs', 'tdinit', 'tditri', 'tdlbla', 'tdlblp', 'tdlbls', + 'tdline', 'tdlndp', 'tdlnpa', 'tdlpdp', 'tdmtri', 'tdotri', + 'tdpara', 'tdplch', 'tdprpa', 'tdprpi', 'tdprpt', 'tdsetp', + 'tdsort', 'tdstri', 'tdstrs', 'tdttri', 'thornthwaite', 'tobyte', + 'tochar', 'todouble', 'tofloat', 'toint', 'toint64', 'tointeger', + 'tolong', 'toshort', 'tosigned', 'tostring', 'tostring_with_format', + 'totype', 'toubyte', 'touint', 'touint64', 'toulong', 'tounsigned', + 'toushort', 'trend_manken', 'tri_trunc', 'triple2grid', + 'triple2grid2d', 'trop_wmo', 'ttest', 'typeof', 'undef', + 'unique_string', 'update', 'ushorttoint', 'ut_calendar', + 'ut_inv_calendar', 'utm2latlon', 'uv2dv_cfd', 'uv2dvf', 'uv2dvg', + 'uv2sfvpf', 'uv2sfvpg', 'uv2vr_cfd', 'uv2vrdvf', 'uv2vrdvg', + 'uv2vrf', 'uv2vrg', 'v5d_close', 'v5d_create', 'v5d_setLowLev', + 'v5d_setUnits', 'v5d_write', 'v5d_write_var', 'variance', 'vhaec', + 'vhagc', 'vhsec', 'vhsgc', 'vibeta', 'vinth2p', 'vinth2p_ecmwf', + 'vinth2p_ecmwf_nodes', 'vinth2p_nodes', 'vintp2p_ecmwf', 'vr2uvf', + 'vr2uvg', 'vrdv2uvf', 'vrdv2uvg', 'wavelet', 'wavelet_default', + 'weibull', 'wgt_area_smooth', 'wgt_areaave', 'wgt_areaave2', + 'wgt_arearmse', 'wgt_arearmse2', 'wgt_areasum2', 'wgt_runave', + 'wgt_runave_n', 'wgt_vert_avg_beta', 'wgt_volave', 'wgt_volave_ccm', + 'wgt_volrmse', 'wgt_volrmse_ccm', 'where', 'wk_smooth121', 'wmbarb', + 'wmbarbmap', 'wmdrft', 'wmgetp', 'wmlabs', 'wmsetp', 'wmstnm', + 'wmvect', 'wmvectmap', 'wmvlbl', 'wrf_avo', 'wrf_cape_2d', + 'wrf_cape_3d', 'wrf_dbz', 'wrf_eth', 'wrf_helicity', 'wrf_ij_to_ll', + 'wrf_interp_1d', 'wrf_interp_2d_xy', 'wrf_interp_3d_z', + 'wrf_latlon_to_ij', 'wrf_ll_to_ij', 'wrf_omega', 'wrf_pvo', + 'wrf_rh', 'wrf_slp', 'wrf_smooth_2d', 'wrf_td', 'wrf_tk', + 'wrf_updraft_helicity', 'wrf_uvmet', 'wrf_virtual_temp', + 'wrf_wetbulb', 'wrf_wps_close_int', 'wrf_wps_open_int', + 'wrf_wps_rddata_int', 'wrf_wps_rdhead_int', 'wrf_wps_read_int', + 'wrf_wps_write_int', 'write_matrix', 'write_table', 'yiqrgb', + 'z2geouv', 'zonal_mpsi', 'addfiles_GetVar', 'advect_variable', + 'area_conserve_remap_Wrap', 'area_hi2lores_Wrap', + 'array_append_record', 'assignFillValue', 'byte2flt', + 'byte2flt_hdf', 'calcDayAnomTLL', 'calcMonAnomLLLT', + 'calcMonAnomLLT', 'calcMonAnomTLL', 'calcMonAnomTLLL', + 'calculate_monthly_values', 'cd_convert', 'changeCase', + 'changeCaseChar', 'clmDayTLL', 'clmDayTLLL', 'clmMon2clmDay', + 'clmMonLLLT', 'clmMonLLT', 'clmMonTLL', 'clmMonTLLL', 'closest_val', + 'copy_VarAtts', 'copy_VarCoords', 'copy_VarCoords_1', + 'copy_VarCoords_2', 'copy_VarMeta', 'copyatt', 'crossp3', + 'cshstringtolist', 'cssgrid_Wrap', 'dble2flt', 'decimalPlaces', + 'delete_VarAtts', 'dim_avg_n_Wrap', 'dim_avg_wgt_n_Wrap', + 'dim_avg_wgt_Wrap', 'dim_avg_Wrap', 'dim_cumsum_n_Wrap', + 'dim_cumsum_Wrap', 'dim_max_n_Wrap', 'dim_min_n_Wrap', + 'dim_rmsd_n_Wrap', 'dim_rmsd_Wrap', 'dim_rmvmean_n_Wrap', + 'dim_rmvmean_Wrap', 'dim_rmvmed_n_Wrap', 'dim_rmvmed_Wrap', + 'dim_standardize_n_Wrap', 'dim_standardize_Wrap', + 'dim_stddev_n_Wrap', 'dim_stddev_Wrap', 'dim_sum_n_Wrap', + 'dim_sum_wgt_n_Wrap', 'dim_sum_wgt_Wrap', 'dim_sum_Wrap', + 'dim_variance_n_Wrap', 'dim_variance_Wrap', 'dpres_plevel_Wrap', + 'dtrend_leftdim', 'dv2uvF_Wrap', 'dv2uvG_Wrap', 'eof_north', + 'eofcor_Wrap', 'eofcov_Wrap', 'eofunc_north', 'eofunc_ts_Wrap', + 'eofunc_varimax_reorder', 'eofunc_varimax_Wrap', 'eofunc_Wrap', + 'epsZero', 'f2fosh_Wrap', 'f2foshv_Wrap', 'f2fsh_Wrap', + 'f2fshv_Wrap', 'f2gsh_Wrap', 'f2gshv_Wrap', 'fbindirSwap', + 'fbinseqSwap1', 'fbinseqSwap2', 'flt2dble', 'flt2string', + 'fo2fsh_Wrap', 'fo2fshv_Wrap', 'g2fsh_Wrap', 'g2fshv_Wrap', + 'g2gsh_Wrap', 'g2gshv_Wrap', 'generate_resample_indices', + 'generate_sample_indices', 'generate_unique_indices', + 'genNormalDist', 'get1Dindex', 'get1Dindex_Collapse', + 'get1Dindex_Exclude', 'get_file_suffix', 'GetFillColor', + 'GetFillColorIndex', 'getFillValue', 'getind_latlon2d', + 'getVarDimNames', 'getVarFillValue', 'grib_stime2itime', + 'hyi2hyo_Wrap', 'ilapsF_Wrap', 'ilapsG_Wrap', 'ind_nearest_coord', + 'indStrSubset', 'int2dble', 'int2flt', 'int2p_n_Wrap', 'int2p_Wrap', + 'isMonotonic', 'isStrSubset', 'latGau', 'latGauWgt', 'latGlobeF', + 'latGlobeFo', 'latRegWgt', 'linint1_n_Wrap', 'linint1_Wrap', + 'linint2_points_Wrap', 'linint2_Wrap', 'local_max_1d', + 'local_min_1d', 'lonFlip', 'lonGlobeF', 'lonGlobeFo', 'lonPivot', + 'merge_levels_sfc', 'mod', 'month_to_annual', + 'month_to_annual_weighted', 'month_to_season', 'month_to_season12', + 'month_to_seasonN', 'monthly_total_to_daily_mean', 'nameDim', + 'natgrid_Wrap', 'NewCosWeight', 'niceLatLon2D', 'NormCosWgtGlobe', + 'numAsciiCol', 'numAsciiRow', 'numeric2int', + 'obj_anal_ic_deprecated', 'obj_anal_ic_Wrap', 'omega_ccm_driver', + 'omega_to_w', 'oneDtostring', 'pack_values', 'pattern_cor', 'pdfx', + 'pdfxy', 'pdfxy_conform', 'pot_temp', 'pot_vort_hybrid', + 'pot_vort_isobaric', 'pres2hybrid_Wrap', 'print_clock', + 'printMinMax', 'quadroots', 'rcm2points_Wrap', 'rcm2rgrid_Wrap', + 'readAsciiHead', 'readAsciiTable', 'reg_multlin_stats', + 'region_ind', 'regline_stats', 'relhum_ttd', 'replaceSingleChar', + 'RGBtoCmap', 'rgrid2rcm_Wrap', 'rho_mwjf', 'rm_single_dims', + 'rmAnnCycle1D', 'rmInsufData', 'rmMonAnnCycLLLT', 'rmMonAnnCycLLT', + 'rmMonAnnCycTLL', 'runave_n_Wrap', 'runave_Wrap', 'short2flt', + 'short2flt_hdf', 'shsgc_R42_Wrap', 'sign_f90', 'sign_matlab', + 'smth9_Wrap', 'smthClmDayTLL', 'smthClmDayTLLL', 'SqrtCosWeight', + 'stat_dispersion', 'static_stability', 'stdMonLLLT', 'stdMonLLT', + 'stdMonTLL', 'stdMonTLLL', 'symMinMaxPlt', 'table_attach_columns', + 'table_attach_rows', 'time_to_newtime', 'transpose', + 'triple2grid_Wrap', 'ut_convert', 'uv2dvF_Wrap', 'uv2dvG_Wrap', + 'uv2vrF_Wrap', 'uv2vrG_Wrap', 'vr2uvF_Wrap', 'vr2uvG_Wrap', + 'w_to_omega', 'wallClockElapseTime', 'wave_number_spc', + 'wgt_areaave_Wrap', 'wgt_runave_leftdim', 'wgt_runave_n_Wrap', + 'wgt_runave_Wrap', 'wgt_vertical_n', 'wind_component', + 'wind_direction', 'yyyyddd_to_yyyymmdd', 'yyyymm_time', + 'yyyymm_to_yyyyfrac', 'yyyymmdd_time', 'yyyymmdd_to_yyyyddd', + 'yyyymmdd_to_yyyyfrac', 'yyyymmddhh_time', 'yyyymmddhh_to_yyyyfrac', + 'zonal_mpsi_Wrap', 'zonalAve', 'calendar_decode2', 'cd_string', + 'kf_filter', 'run_cor', 'time_axis_labels', 'ut_string', + 'wrf_contour', 'wrf_map', 'wrf_map_overlay', 'wrf_map_overlays', + 'wrf_map_resources', 'wrf_map_zoom', 'wrf_overlay', 'wrf_overlays', + 'wrf_user_getvar', 'wrf_user_ij_to_ll', 'wrf_user_intrp2d', + 'wrf_user_intrp3d', 'wrf_user_latlon_to_ij', 'wrf_user_list_times', + 'wrf_user_ll_to_ij', 'wrf_user_unstagger', 'wrf_user_vert_interp', + 'wrf_vector', 'gsn_add_annotation', 'gsn_add_polygon', + 'gsn_add_polyline', 'gsn_add_polymarker', + 'gsn_add_shapefile_polygons', 'gsn_add_shapefile_polylines', + 'gsn_add_shapefile_polymarkers', 'gsn_add_text', 'gsn_attach_plots', + 'gsn_blank_plot', 'gsn_contour', 'gsn_contour_map', + 'gsn_contour_shade', 'gsn_coordinates', 'gsn_create_labelbar', + 'gsn_create_legend', 'gsn_create_text', + 'gsn_csm_attach_zonal_means', 'gsn_csm_blank_plot', + 'gsn_csm_contour', 'gsn_csm_contour_map', 'gsn_csm_contour_map_ce', + 'gsn_csm_contour_map_overlay', 'gsn_csm_contour_map_polar', + 'gsn_csm_hov', 'gsn_csm_lat_time', 'gsn_csm_map', 'gsn_csm_map_ce', + 'gsn_csm_map_polar', 'gsn_csm_pres_hgt', + 'gsn_csm_pres_hgt_streamline', 'gsn_csm_pres_hgt_vector', + 'gsn_csm_streamline', 'gsn_csm_streamline_contour_map', + 'gsn_csm_streamline_contour_map_ce', + 'gsn_csm_streamline_contour_map_polar', 'gsn_csm_streamline_map', + 'gsn_csm_streamline_map_ce', 'gsn_csm_streamline_map_polar', + 'gsn_csm_streamline_scalar', 'gsn_csm_streamline_scalar_map', + 'gsn_csm_streamline_scalar_map_ce', + 'gsn_csm_streamline_scalar_map_polar', 'gsn_csm_time_lat', + 'gsn_csm_vector', 'gsn_csm_vector_map', 'gsn_csm_vector_map_ce', + 'gsn_csm_vector_map_polar', 'gsn_csm_vector_scalar', + 'gsn_csm_vector_scalar_map', 'gsn_csm_vector_scalar_map_ce', + 'gsn_csm_vector_scalar_map_polar', 'gsn_csm_x2y', 'gsn_csm_x2y2', + 'gsn_csm_xy', 'gsn_csm_xy2', 'gsn_csm_xy3', 'gsn_csm_y', + 'gsn_define_colormap', 'gsn_draw_colormap', 'gsn_draw_named_colors', + 'gsn_histogram', 'gsn_labelbar_ndc', 'gsn_legend_ndc', 'gsn_map', + 'gsn_merge_colormaps', 'gsn_open_wks', 'gsn_panel', 'gsn_polygon', + 'gsn_polygon_ndc', 'gsn_polyline', 'gsn_polyline_ndc', + 'gsn_polymarker', 'gsn_polymarker_ndc', 'gsn_retrieve_colormap', + 'gsn_reverse_colormap', 'gsn_streamline', 'gsn_streamline_map', + 'gsn_streamline_scalar', 'gsn_streamline_scalar_map', 'gsn_table', + 'gsn_text', 'gsn_text_ndc', 'gsn_vector', 'gsn_vector_map', + 'gsn_vector_scalar', 'gsn_vector_scalar_map', 'gsn_xy', 'gsn_y', + 'hsv2rgb', 'maximize_output', 'namedcolor2rgb', 'namedcolor2rgba', + 'reset_device_coordinates', 'span_named_colors'), prefix=r'\b'), + Name.Builtin), + + # Resources + (words(( + 'amDataXF', 'amDataYF', 'amJust', 'amOn', 'amOrthogonalPosF', + 'amParallelPosF', 'amResizeNotify', 'amSide', 'amTrackData', + 'amViewId', 'amZone', 'appDefaultParent', 'appFileSuffix', + 'appResources', 'appSysDir', 'appUsrDir', 'caCopyArrays', + 'caXArray', 'caXCast', 'caXMaxV', 'caXMinV', 'caXMissingV', + 'caYArray', 'caYCast', 'caYMaxV', 'caYMinV', 'caYMissingV', + 'cnCellFillEdgeColor', 'cnCellFillMissingValEdgeColor', + 'cnConpackParams', 'cnConstFEnableFill', 'cnConstFLabelAngleF', + 'cnConstFLabelBackgroundColor', 'cnConstFLabelConstantSpacingF', + 'cnConstFLabelFont', 'cnConstFLabelFontAspectF', + 'cnConstFLabelFontColor', 'cnConstFLabelFontHeightF', + 'cnConstFLabelFontQuality', 'cnConstFLabelFontThicknessF', + 'cnConstFLabelFormat', 'cnConstFLabelFuncCode', 'cnConstFLabelJust', + 'cnConstFLabelOn', 'cnConstFLabelOrthogonalPosF', + 'cnConstFLabelParallelPosF', 'cnConstFLabelPerimColor', + 'cnConstFLabelPerimOn', 'cnConstFLabelPerimSpaceF', + 'cnConstFLabelPerimThicknessF', 'cnConstFLabelSide', + 'cnConstFLabelString', 'cnConstFLabelTextDirection', + 'cnConstFLabelZone', 'cnConstFUseInfoLabelRes', + 'cnExplicitLabelBarLabelsOn', 'cnExplicitLegendLabelsOn', + 'cnExplicitLineLabelsOn', 'cnFillBackgroundColor', 'cnFillColor', + 'cnFillColors', 'cnFillDotSizeF', 'cnFillDrawOrder', 'cnFillMode', + 'cnFillOn', 'cnFillOpacityF', 'cnFillPalette', 'cnFillPattern', + 'cnFillPatterns', 'cnFillScaleF', 'cnFillScales', 'cnFixFillBleed', + 'cnGridBoundFillColor', 'cnGridBoundFillPattern', + 'cnGridBoundFillScaleF', 'cnGridBoundPerimColor', + 'cnGridBoundPerimDashPattern', 'cnGridBoundPerimOn', + 'cnGridBoundPerimThicknessF', 'cnHighLabelAngleF', + 'cnHighLabelBackgroundColor', 'cnHighLabelConstantSpacingF', + 'cnHighLabelCount', 'cnHighLabelFont', 'cnHighLabelFontAspectF', + 'cnHighLabelFontColor', 'cnHighLabelFontHeightF', + 'cnHighLabelFontQuality', 'cnHighLabelFontThicknessF', + 'cnHighLabelFormat', 'cnHighLabelFuncCode', 'cnHighLabelPerimColor', + 'cnHighLabelPerimOn', 'cnHighLabelPerimSpaceF', + 'cnHighLabelPerimThicknessF', 'cnHighLabelString', 'cnHighLabelsOn', + 'cnHighLowLabelOverlapMode', 'cnHighUseLineLabelRes', + 'cnInfoLabelAngleF', 'cnInfoLabelBackgroundColor', + 'cnInfoLabelConstantSpacingF', 'cnInfoLabelFont', + 'cnInfoLabelFontAspectF', 'cnInfoLabelFontColor', + 'cnInfoLabelFontHeightF', 'cnInfoLabelFontQuality', + 'cnInfoLabelFontThicknessF', 'cnInfoLabelFormat', + 'cnInfoLabelFuncCode', 'cnInfoLabelJust', 'cnInfoLabelOn', + 'cnInfoLabelOrthogonalPosF', 'cnInfoLabelParallelPosF', + 'cnInfoLabelPerimColor', 'cnInfoLabelPerimOn', + 'cnInfoLabelPerimSpaceF', 'cnInfoLabelPerimThicknessF', + 'cnInfoLabelSide', 'cnInfoLabelString', 'cnInfoLabelTextDirection', + 'cnInfoLabelZone', 'cnLabelBarEndLabelsOn', 'cnLabelBarEndStyle', + 'cnLabelDrawOrder', 'cnLabelMasking', 'cnLabelScaleFactorF', + 'cnLabelScaleValueF', 'cnLabelScalingMode', 'cnLegendLevelFlags', + 'cnLevelCount', 'cnLevelFlag', 'cnLevelFlags', 'cnLevelSelectionMode', + 'cnLevelSpacingF', 'cnLevels', 'cnLineColor', 'cnLineColors', + 'cnLineDashPattern', 'cnLineDashPatterns', 'cnLineDashSegLenF', + 'cnLineDrawOrder', 'cnLineLabelAngleF', 'cnLineLabelBackgroundColor', + 'cnLineLabelConstantSpacingF', 'cnLineLabelCount', + 'cnLineLabelDensityF', 'cnLineLabelFont', 'cnLineLabelFontAspectF', + 'cnLineLabelFontColor', 'cnLineLabelFontColors', + 'cnLineLabelFontHeightF', 'cnLineLabelFontQuality', + 'cnLineLabelFontThicknessF', 'cnLineLabelFormat', + 'cnLineLabelFuncCode', 'cnLineLabelInterval', 'cnLineLabelPerimColor', + 'cnLineLabelPerimOn', 'cnLineLabelPerimSpaceF', + 'cnLineLabelPerimThicknessF', 'cnLineLabelPlacementMode', + 'cnLineLabelStrings', 'cnLineLabelsOn', 'cnLinePalette', + 'cnLineThicknessF', 'cnLineThicknesses', 'cnLinesOn', + 'cnLowLabelAngleF', 'cnLowLabelBackgroundColor', + 'cnLowLabelConstantSpacingF', 'cnLowLabelCount', 'cnLowLabelFont', + 'cnLowLabelFontAspectF', 'cnLowLabelFontColor', + 'cnLowLabelFontHeightF', 'cnLowLabelFontQuality', + 'cnLowLabelFontThicknessF', 'cnLowLabelFormat', 'cnLowLabelFuncCode', + 'cnLowLabelPerimColor', 'cnLowLabelPerimOn', 'cnLowLabelPerimSpaceF', + 'cnLowLabelPerimThicknessF', 'cnLowLabelString', 'cnLowLabelsOn', + 'cnLowUseHighLabelRes', 'cnMaxDataValueFormat', 'cnMaxLevelCount', + 'cnMaxLevelValF', 'cnMaxPointDistanceF', 'cnMinLevelValF', + 'cnMissingValFillColor', 'cnMissingValFillPattern', + 'cnMissingValFillScaleF', 'cnMissingValPerimColor', + 'cnMissingValPerimDashPattern', 'cnMissingValPerimGridBoundOn', + 'cnMissingValPerimOn', 'cnMissingValPerimThicknessF', + 'cnMonoFillColor', 'cnMonoFillPattern', 'cnMonoFillScale', + 'cnMonoLevelFlag', 'cnMonoLineColor', 'cnMonoLineDashPattern', + 'cnMonoLineLabelFontColor', 'cnMonoLineThickness', 'cnNoDataLabelOn', + 'cnNoDataLabelString', 'cnOutOfRangeFillColor', + 'cnOutOfRangeFillPattern', 'cnOutOfRangeFillScaleF', + 'cnOutOfRangePerimColor', 'cnOutOfRangePerimDashPattern', + 'cnOutOfRangePerimOn', 'cnOutOfRangePerimThicknessF', + 'cnRasterCellSizeF', 'cnRasterMinCellSizeF', 'cnRasterModeOn', + 'cnRasterSampleFactorF', 'cnRasterSmoothingOn', 'cnScalarFieldData', + 'cnSmoothingDistanceF', 'cnSmoothingOn', 'cnSmoothingTensionF', + 'cnSpanFillPalette', 'cnSpanLinePalette', 'ctCopyTables', + 'ctXElementSize', 'ctXMaxV', 'ctXMinV', 'ctXMissingV', 'ctXTable', + 'ctXTableLengths', 'ctXTableType', 'ctYElementSize', 'ctYMaxV', + 'ctYMinV', 'ctYMissingV', 'ctYTable', 'ctYTableLengths', + 'ctYTableType', 'dcDelayCompute', 'errBuffer', + 'errFileName', 'errFilePtr', 'errLevel', 'errPrint', 'errUnitNumber', + 'gsClipOn', 'gsColors', 'gsEdgeColor', 'gsEdgeDashPattern', + 'gsEdgeDashSegLenF', 'gsEdgeThicknessF', 'gsEdgesOn', + 'gsFillBackgroundColor', 'gsFillColor', 'gsFillDotSizeF', + 'gsFillIndex', 'gsFillLineThicknessF', 'gsFillOpacityF', + 'gsFillScaleF', 'gsFont', 'gsFontAspectF', 'gsFontColor', + 'gsFontHeightF', 'gsFontOpacityF', 'gsFontQuality', + 'gsFontThicknessF', 'gsLineColor', 'gsLineDashPattern', + 'gsLineDashSegLenF', 'gsLineLabelConstantSpacingF', 'gsLineLabelFont', + 'gsLineLabelFontAspectF', 'gsLineLabelFontColor', + 'gsLineLabelFontHeightF', 'gsLineLabelFontQuality', + 'gsLineLabelFontThicknessF', 'gsLineLabelFuncCode', + 'gsLineLabelString', 'gsLineOpacityF', 'gsLineThicknessF', + 'gsMarkerColor', 'gsMarkerIndex', 'gsMarkerOpacityF', 'gsMarkerSizeF', + 'gsMarkerThicknessF', 'gsSegments', 'gsTextAngleF', + 'gsTextConstantSpacingF', 'gsTextDirection', 'gsTextFuncCode', + 'gsTextJustification', 'gsnAboveYRefLineBarColors', + 'gsnAboveYRefLineBarFillScales', 'gsnAboveYRefLineBarPatterns', + 'gsnAboveYRefLineColor', 'gsnAddCyclic', 'gsnAttachBorderOn', + 'gsnAttachPlotsXAxis', 'gsnBelowYRefLineBarColors', + 'gsnBelowYRefLineBarFillScales', 'gsnBelowYRefLineBarPatterns', + 'gsnBelowYRefLineColor', 'gsnBoxMargin', 'gsnCenterString', + 'gsnCenterStringFontColor', 'gsnCenterStringFontHeightF', + 'gsnCenterStringFuncCode', 'gsnCenterStringOrthogonalPosF', + 'gsnCenterStringParallelPosF', 'gsnContourLineThicknessesScale', + 'gsnContourNegLineDashPattern', 'gsnContourPosLineDashPattern', + 'gsnContourZeroLineThicknessF', 'gsnDebugWriteFileName', 'gsnDraw', + 'gsnFrame', 'gsnHistogramBarWidthPercent', 'gsnHistogramBinIntervals', + 'gsnHistogramBinMissing', 'gsnHistogramBinWidth', + 'gsnHistogramClassIntervals', 'gsnHistogramCompare', + 'gsnHistogramComputePercentages', + 'gsnHistogramComputePercentagesNoMissing', + 'gsnHistogramDiscreteBinValues', 'gsnHistogramDiscreteClassValues', + 'gsnHistogramHorizontal', 'gsnHistogramMinMaxBinsOn', + 'gsnHistogramNumberOfBins', 'gsnHistogramPercentSign', + 'gsnHistogramSelectNiceIntervals', 'gsnLeftString', + 'gsnLeftStringFontColor', 'gsnLeftStringFontHeightF', + 'gsnLeftStringFuncCode', 'gsnLeftStringOrthogonalPosF', + 'gsnLeftStringParallelPosF', 'gsnMajorLatSpacing', + 'gsnMajorLonSpacing', 'gsnMaskLambertConformal', + 'gsnMaskLambertConformalOutlineOn', 'gsnMaximize', + 'gsnMinorLatSpacing', 'gsnMinorLonSpacing', 'gsnPanelBottom', + 'gsnPanelCenter', 'gsnPanelDebug', 'gsnPanelFigureStrings', + 'gsnPanelFigureStringsBackgroundFillColor', + 'gsnPanelFigureStringsFontHeightF', 'gsnPanelFigureStringsJust', + 'gsnPanelFigureStringsPerimOn', 'gsnPanelLabelBar', 'gsnPanelLeft', + 'gsnPanelMainFont', 'gsnPanelMainFontColor', + 'gsnPanelMainFontHeightF', 'gsnPanelMainString', 'gsnPanelRight', + 'gsnPanelRowSpec', 'gsnPanelScalePlotIndex', 'gsnPanelTop', + 'gsnPanelXF', 'gsnPanelXWhiteSpacePercent', 'gsnPanelYF', + 'gsnPanelYWhiteSpacePercent', 'gsnPaperHeight', 'gsnPaperMargin', + 'gsnPaperOrientation', 'gsnPaperWidth', 'gsnPolar', + 'gsnPolarLabelDistance', 'gsnPolarLabelFont', + 'gsnPolarLabelFontHeightF', 'gsnPolarLabelSpacing', 'gsnPolarTime', + 'gsnPolarUT', 'gsnRightString', 'gsnRightStringFontColor', + 'gsnRightStringFontHeightF', 'gsnRightStringFuncCode', + 'gsnRightStringOrthogonalPosF', 'gsnRightStringParallelPosF', + 'gsnScalarContour', 'gsnScale', 'gsnShape', 'gsnSpreadColorEnd', + 'gsnSpreadColorStart', 'gsnSpreadColors', 'gsnStringFont', + 'gsnStringFontColor', 'gsnStringFontHeightF', 'gsnStringFuncCode', + 'gsnTickMarksOn', 'gsnXAxisIrregular2Linear', 'gsnXAxisIrregular2Log', + 'gsnXRefLine', 'gsnXRefLineColor', 'gsnXRefLineDashPattern', + 'gsnXRefLineThicknessF', 'gsnXYAboveFillColors', 'gsnXYBarChart', + 'gsnXYBarChartBarWidth', 'gsnXYBarChartColors', + 'gsnXYBarChartColors2', 'gsnXYBarChartFillDotSizeF', + 'gsnXYBarChartFillLineThicknessF', 'gsnXYBarChartFillOpacityF', + 'gsnXYBarChartFillScaleF', 'gsnXYBarChartOutlineOnly', + 'gsnXYBarChartOutlineThicknessF', 'gsnXYBarChartPatterns', + 'gsnXYBarChartPatterns2', 'gsnXYBelowFillColors', 'gsnXYFillColors', + 'gsnXYFillOpacities', 'gsnXYLeftFillColors', 'gsnXYRightFillColors', + 'gsnYAxisIrregular2Linear', 'gsnYAxisIrregular2Log', 'gsnYRefLine', + 'gsnYRefLineColor', 'gsnYRefLineColors', 'gsnYRefLineDashPattern', + 'gsnYRefLineDashPatterns', 'gsnYRefLineThicknessF', + 'gsnYRefLineThicknesses', 'gsnZonalMean', 'gsnZonalMeanXMaxF', + 'gsnZonalMeanXMinF', 'gsnZonalMeanYRefLine', 'lbAutoManage', + 'lbBottomMarginF', 'lbBoxCount', 'lbBoxEndCapStyle', 'lbBoxFractions', + 'lbBoxLineColor', 'lbBoxLineDashPattern', 'lbBoxLineDashSegLenF', + 'lbBoxLineThicknessF', 'lbBoxLinesOn', 'lbBoxMajorExtentF', + 'lbBoxMinorExtentF', 'lbBoxSeparatorLinesOn', 'lbBoxSizing', + 'lbFillBackground', 'lbFillColor', 'lbFillColors', 'lbFillDotSizeF', + 'lbFillLineThicknessF', 'lbFillPattern', 'lbFillPatterns', + 'lbFillScaleF', 'lbFillScales', 'lbJustification', 'lbLabelAlignment', + 'lbLabelAngleF', 'lbLabelAutoStride', 'lbLabelBarOn', + 'lbLabelConstantSpacingF', 'lbLabelDirection', 'lbLabelFont', + 'lbLabelFontAspectF', 'lbLabelFontColor', 'lbLabelFontHeightF', + 'lbLabelFontQuality', 'lbLabelFontThicknessF', 'lbLabelFuncCode', + 'lbLabelJust', 'lbLabelOffsetF', 'lbLabelPosition', 'lbLabelStride', + 'lbLabelStrings', 'lbLabelsOn', 'lbLeftMarginF', 'lbMaxLabelLenF', + 'lbMinLabelSpacingF', 'lbMonoFillColor', 'lbMonoFillPattern', + 'lbMonoFillScale', 'lbOrientation', 'lbPerimColor', + 'lbPerimDashPattern', 'lbPerimDashSegLenF', 'lbPerimFill', + 'lbPerimFillColor', 'lbPerimOn', 'lbPerimThicknessF', + 'lbRasterFillOn', 'lbRightMarginF', 'lbTitleAngleF', + 'lbTitleConstantSpacingF', 'lbTitleDirection', 'lbTitleExtentF', + 'lbTitleFont', 'lbTitleFontAspectF', 'lbTitleFontColor', + 'lbTitleFontHeightF', 'lbTitleFontQuality', 'lbTitleFontThicknessF', + 'lbTitleFuncCode', 'lbTitleJust', 'lbTitleOffsetF', 'lbTitleOn', + 'lbTitlePosition', 'lbTitleString', 'lbTopMarginF', 'lgAutoManage', + 'lgBottomMarginF', 'lgBoxBackground', 'lgBoxLineColor', + 'lgBoxLineDashPattern', 'lgBoxLineDashSegLenF', 'lgBoxLineThicknessF', + 'lgBoxLinesOn', 'lgBoxMajorExtentF', 'lgBoxMinorExtentF', + 'lgDashIndex', 'lgDashIndexes', 'lgItemCount', 'lgItemOrder', + 'lgItemPlacement', 'lgItemPositions', 'lgItemType', 'lgItemTypes', + 'lgJustification', 'lgLabelAlignment', 'lgLabelAngleF', + 'lgLabelAutoStride', 'lgLabelConstantSpacingF', 'lgLabelDirection', + 'lgLabelFont', 'lgLabelFontAspectF', 'lgLabelFontColor', + 'lgLabelFontHeightF', 'lgLabelFontQuality', 'lgLabelFontThicknessF', + 'lgLabelFuncCode', 'lgLabelJust', 'lgLabelOffsetF', 'lgLabelPosition', + 'lgLabelStride', 'lgLabelStrings', 'lgLabelsOn', 'lgLeftMarginF', + 'lgLegendOn', 'lgLineColor', 'lgLineColors', 'lgLineDashSegLenF', + 'lgLineDashSegLens', 'lgLineLabelConstantSpacingF', 'lgLineLabelFont', + 'lgLineLabelFontAspectF', 'lgLineLabelFontColor', + 'lgLineLabelFontColors', 'lgLineLabelFontHeightF', + 'lgLineLabelFontHeights', 'lgLineLabelFontQuality', + 'lgLineLabelFontThicknessF', 'lgLineLabelFuncCode', + 'lgLineLabelStrings', 'lgLineLabelsOn', 'lgLineThicknessF', + 'lgLineThicknesses', 'lgMarkerColor', 'lgMarkerColors', + 'lgMarkerIndex', 'lgMarkerIndexes', 'lgMarkerSizeF', 'lgMarkerSizes', + 'lgMarkerThicknessF', 'lgMarkerThicknesses', 'lgMonoDashIndex', + 'lgMonoItemType', 'lgMonoLineColor', 'lgMonoLineDashSegLen', + 'lgMonoLineLabelFontColor', 'lgMonoLineLabelFontHeight', + 'lgMonoLineThickness', 'lgMonoMarkerColor', 'lgMonoMarkerIndex', + 'lgMonoMarkerSize', 'lgMonoMarkerThickness', 'lgOrientation', + 'lgPerimColor', 'lgPerimDashPattern', 'lgPerimDashSegLenF', + 'lgPerimFill', 'lgPerimFillColor', 'lgPerimOn', 'lgPerimThicknessF', + 'lgRightMarginF', 'lgTitleAngleF', 'lgTitleConstantSpacingF', + 'lgTitleDirection', 'lgTitleExtentF', 'lgTitleFont', + 'lgTitleFontAspectF', 'lgTitleFontColor', 'lgTitleFontHeightF', + 'lgTitleFontQuality', 'lgTitleFontThicknessF', 'lgTitleFuncCode', + 'lgTitleJust', 'lgTitleOffsetF', 'lgTitleOn', 'lgTitlePosition', + 'lgTitleString', 'lgTopMarginF', 'mpAreaGroupCount', + 'mpAreaMaskingOn', 'mpAreaNames', 'mpAreaTypes', 'mpBottomAngleF', + 'mpBottomMapPosF', 'mpBottomNDCF', 'mpBottomNPCF', + 'mpBottomPointLatF', 'mpBottomPointLonF', 'mpBottomWindowF', + 'mpCenterLatF', 'mpCenterLonF', 'mpCenterRotF', 'mpCountyLineColor', + 'mpCountyLineDashPattern', 'mpCountyLineDashSegLenF', + 'mpCountyLineThicknessF', 'mpDataBaseVersion', 'mpDataResolution', + 'mpDataSetName', 'mpDefaultFillColor', 'mpDefaultFillPattern', + 'mpDefaultFillScaleF', 'mpDynamicAreaGroups', 'mpEllipticalBoundary', + 'mpFillAreaSpecifiers', 'mpFillBoundarySets', 'mpFillColor', + 'mpFillColors', 'mpFillColors-default', 'mpFillDotSizeF', + 'mpFillDrawOrder', 'mpFillOn', 'mpFillPatternBackground', + 'mpFillPattern', 'mpFillPatterns', 'mpFillPatterns-default', + 'mpFillScaleF', 'mpFillScales', 'mpFillScales-default', + 'mpFixedAreaGroups', 'mpGeophysicalLineColor', + 'mpGeophysicalLineDashPattern', 'mpGeophysicalLineDashSegLenF', + 'mpGeophysicalLineThicknessF', 'mpGreatCircleLinesOn', + 'mpGridAndLimbDrawOrder', 'mpGridAndLimbOn', 'mpGridLatSpacingF', + 'mpGridLineColor', 'mpGridLineDashPattern', 'mpGridLineDashSegLenF', + 'mpGridLineThicknessF', 'mpGridLonSpacingF', 'mpGridMaskMode', + 'mpGridMaxLatF', 'mpGridPolarLonSpacingF', 'mpGridSpacingF', + 'mpInlandWaterFillColor', 'mpInlandWaterFillPattern', + 'mpInlandWaterFillScaleF', 'mpLabelDrawOrder', 'mpLabelFontColor', + 'mpLabelFontHeightF', 'mpLabelsOn', 'mpLambertMeridianF', + 'mpLambertParallel1F', 'mpLambertParallel2F', 'mpLandFillColor', + 'mpLandFillPattern', 'mpLandFillScaleF', 'mpLeftAngleF', + 'mpLeftCornerLatF', 'mpLeftCornerLonF', 'mpLeftMapPosF', + 'mpLeftNDCF', 'mpLeftNPCF', 'mpLeftPointLatF', + 'mpLeftPointLonF', 'mpLeftWindowF', 'mpLimbLineColor', + 'mpLimbLineDashPattern', 'mpLimbLineDashSegLenF', + 'mpLimbLineThicknessF', 'mpLimitMode', 'mpMaskAreaSpecifiers', + 'mpMaskOutlineSpecifiers', 'mpMaxLatF', 'mpMaxLonF', + 'mpMinLatF', 'mpMinLonF', 'mpMonoFillColor', 'mpMonoFillPattern', + 'mpMonoFillScale', 'mpNationalLineColor', 'mpNationalLineDashPattern', + 'mpNationalLineThicknessF', 'mpOceanFillColor', 'mpOceanFillPattern', + 'mpOceanFillScaleF', 'mpOutlineBoundarySets', 'mpOutlineDrawOrder', + 'mpOutlineMaskingOn', 'mpOutlineOn', 'mpOutlineSpecifiers', + 'mpPerimDrawOrder', 'mpPerimLineColor', 'mpPerimLineDashPattern', + 'mpPerimLineDashSegLenF', 'mpPerimLineThicknessF', 'mpPerimOn', + 'mpPolyMode', 'mpProjection', 'mpProvincialLineColor', + 'mpProvincialLineDashPattern', 'mpProvincialLineDashSegLenF', + 'mpProvincialLineThicknessF', 'mpRelativeCenterLat', + 'mpRelativeCenterLon', 'mpRightAngleF', 'mpRightCornerLatF', + 'mpRightCornerLonF', 'mpRightMapPosF', 'mpRightNDCF', + 'mpRightNPCF', 'mpRightPointLatF', 'mpRightPointLonF', + 'mpRightWindowF', 'mpSatelliteAngle1F', 'mpSatelliteAngle2F', + 'mpSatelliteDistF', 'mpShapeMode', 'mpSpecifiedFillColors', + 'mpSpecifiedFillDirectIndexing', 'mpSpecifiedFillPatterns', + 'mpSpecifiedFillPriority', 'mpSpecifiedFillScales', + 'mpTopAngleF', 'mpTopMapPosF', 'mpTopNDCF', 'mpTopNPCF', + 'mpTopPointLatF', 'mpTopPointLonF', 'mpTopWindowF', + 'mpUSStateLineColor', 'mpUSStateLineDashPattern', + 'mpUSStateLineDashSegLenF', 'mpUSStateLineThicknessF', + 'pmAnnoManagers', 'pmAnnoViews', 'pmLabelBarDisplayMode', + 'pmLabelBarHeightF', 'pmLabelBarKeepAspect', 'pmLabelBarOrthogonalPosF', + 'pmLabelBarParallelPosF', 'pmLabelBarSide', 'pmLabelBarWidthF', + 'pmLabelBarZone', 'pmLegendDisplayMode', 'pmLegendHeightF', + 'pmLegendKeepAspect', 'pmLegendOrthogonalPosF', + 'pmLegendParallelPosF', 'pmLegendSide', 'pmLegendWidthF', + 'pmLegendZone', 'pmOverlaySequenceIds', 'pmTickMarkDisplayMode', + 'pmTickMarkZone', 'pmTitleDisplayMode', 'pmTitleZone', + 'prGraphicStyle', 'prPolyType', 'prXArray', 'prYArray', + 'sfCopyData', 'sfDataArray', 'sfDataMaxV', 'sfDataMinV', + 'sfElementNodes', 'sfExchangeDimensions', 'sfFirstNodeIndex', + 'sfMissingValueV', 'sfXArray', 'sfXCActualEndF', 'sfXCActualStartF', + 'sfXCEndIndex', 'sfXCEndSubsetV', 'sfXCEndV', 'sfXCStartIndex', + 'sfXCStartSubsetV', 'sfXCStartV', 'sfXCStride', 'sfXCellBounds', + 'sfYArray', 'sfYCActualEndF', 'sfYCActualStartF', 'sfYCEndIndex', + 'sfYCEndSubsetV', 'sfYCEndV', 'sfYCStartIndex', 'sfYCStartSubsetV', + 'sfYCStartV', 'sfYCStride', 'sfYCellBounds', 'stArrowLengthF', + 'stArrowStride', 'stCrossoverCheckCount', + 'stExplicitLabelBarLabelsOn', 'stLabelBarEndLabelsOn', + 'stLabelFormat', 'stLengthCheckCount', 'stLevelColors', + 'stLevelCount', 'stLevelPalette', 'stLevelSelectionMode', + 'stLevelSpacingF', 'stLevels', 'stLineColor', 'stLineOpacityF', + 'stLineStartStride', 'stLineThicknessF', 'stMapDirection', + 'stMaxLevelCount', 'stMaxLevelValF', 'stMinArrowSpacingF', + 'stMinDistanceF', 'stMinLevelValF', 'stMinLineSpacingF', + 'stMinStepFactorF', 'stMonoLineColor', 'stNoDataLabelOn', + 'stNoDataLabelString', 'stScalarFieldData', 'stScalarMissingValColor', + 'stSpanLevelPalette', 'stStepSizeF', 'stStreamlineDrawOrder', + 'stUseScalarArray', 'stVectorFieldData', 'stZeroFLabelAngleF', + 'stZeroFLabelBackgroundColor', 'stZeroFLabelConstantSpacingF', + 'stZeroFLabelFont', 'stZeroFLabelFontAspectF', + 'stZeroFLabelFontColor', 'stZeroFLabelFontHeightF', + 'stZeroFLabelFontQuality', 'stZeroFLabelFontThicknessF', + 'stZeroFLabelFuncCode', 'stZeroFLabelJust', 'stZeroFLabelOn', + 'stZeroFLabelOrthogonalPosF', 'stZeroFLabelParallelPosF', + 'stZeroFLabelPerimColor', 'stZeroFLabelPerimOn', + 'stZeroFLabelPerimSpaceF', 'stZeroFLabelPerimThicknessF', + 'stZeroFLabelSide', 'stZeroFLabelString', 'stZeroFLabelTextDirection', + 'stZeroFLabelZone', 'tfDoNDCOverlay', 'tfPlotManagerOn', + 'tfPolyDrawList', 'tfPolyDrawOrder', 'tiDeltaF', 'tiMainAngleF', + 'tiMainConstantSpacingF', 'tiMainDirection', 'tiMainFont', + 'tiMainFontAspectF', 'tiMainFontColor', 'tiMainFontHeightF', + 'tiMainFontQuality', 'tiMainFontThicknessF', 'tiMainFuncCode', + 'tiMainJust', 'tiMainOffsetXF', 'tiMainOffsetYF', 'tiMainOn', + 'tiMainPosition', 'tiMainSide', 'tiMainString', 'tiUseMainAttributes', + 'tiXAxisAngleF', 'tiXAxisConstantSpacingF', 'tiXAxisDirection', + 'tiXAxisFont', 'tiXAxisFontAspectF', 'tiXAxisFontColor', + 'tiXAxisFontHeightF', 'tiXAxisFontQuality', 'tiXAxisFontThicknessF', + 'tiXAxisFuncCode', 'tiXAxisJust', 'tiXAxisOffsetXF', + 'tiXAxisOffsetYF', 'tiXAxisOn', 'tiXAxisPosition', 'tiXAxisSide', + 'tiXAxisString', 'tiYAxisAngleF', 'tiYAxisConstantSpacingF', + 'tiYAxisDirection', 'tiYAxisFont', 'tiYAxisFontAspectF', + 'tiYAxisFontColor', 'tiYAxisFontHeightF', 'tiYAxisFontQuality', + 'tiYAxisFontThicknessF', 'tiYAxisFuncCode', 'tiYAxisJust', + 'tiYAxisOffsetXF', 'tiYAxisOffsetYF', 'tiYAxisOn', 'tiYAxisPosition', + 'tiYAxisSide', 'tiYAxisString', 'tmBorderLineColor', + 'tmBorderThicknessF', 'tmEqualizeXYSizes', 'tmLabelAutoStride', + 'tmSciNoteCutoff', 'tmXBAutoPrecision', 'tmXBBorderOn', + 'tmXBDataLeftF', 'tmXBDataRightF', 'tmXBFormat', 'tmXBIrrTensionF', + 'tmXBIrregularPoints', 'tmXBLabelAngleF', 'tmXBLabelConstantSpacingF', + 'tmXBLabelDeltaF', 'tmXBLabelDirection', 'tmXBLabelFont', + 'tmXBLabelFontAspectF', 'tmXBLabelFontColor', 'tmXBLabelFontHeightF', + 'tmXBLabelFontQuality', 'tmXBLabelFontThicknessF', + 'tmXBLabelFuncCode', 'tmXBLabelJust', 'tmXBLabelStride', 'tmXBLabels', + 'tmXBLabelsOn', 'tmXBMajorLengthF', 'tmXBMajorLineColor', + 'tmXBMajorOutwardLengthF', 'tmXBMajorThicknessF', 'tmXBMaxLabelLenF', + 'tmXBMaxTicks', 'tmXBMinLabelSpacingF', 'tmXBMinorLengthF', + 'tmXBMinorLineColor', 'tmXBMinorOn', 'tmXBMinorOutwardLengthF', + 'tmXBMinorPerMajor', 'tmXBMinorThicknessF', 'tmXBMinorValues', + 'tmXBMode', 'tmXBOn', 'tmXBPrecision', 'tmXBStyle', 'tmXBTickEndF', + 'tmXBTickSpacingF', 'tmXBTickStartF', 'tmXBValues', 'tmXMajorGrid', + 'tmXMajorGridLineColor', 'tmXMajorGridLineDashPattern', + 'tmXMajorGridThicknessF', 'tmXMinorGrid', 'tmXMinorGridLineColor', + 'tmXMinorGridLineDashPattern', 'tmXMinorGridThicknessF', + 'tmXTAutoPrecision', 'tmXTBorderOn', 'tmXTDataLeftF', + 'tmXTDataRightF', 'tmXTFormat', 'tmXTIrrTensionF', + 'tmXTIrregularPoints', 'tmXTLabelAngleF', 'tmXTLabelConstantSpacingF', + 'tmXTLabelDeltaF', 'tmXTLabelDirection', 'tmXTLabelFont', + 'tmXTLabelFontAspectF', 'tmXTLabelFontColor', 'tmXTLabelFontHeightF', + 'tmXTLabelFontQuality', 'tmXTLabelFontThicknessF', + 'tmXTLabelFuncCode', 'tmXTLabelJust', 'tmXTLabelStride', 'tmXTLabels', + 'tmXTLabelsOn', 'tmXTMajorLengthF', 'tmXTMajorLineColor', + 'tmXTMajorOutwardLengthF', 'tmXTMajorThicknessF', 'tmXTMaxLabelLenF', + 'tmXTMaxTicks', 'tmXTMinLabelSpacingF', 'tmXTMinorLengthF', + 'tmXTMinorLineColor', 'tmXTMinorOn', 'tmXTMinorOutwardLengthF', + 'tmXTMinorPerMajor', 'tmXTMinorThicknessF', 'tmXTMinorValues', + 'tmXTMode', 'tmXTOn', 'tmXTPrecision', 'tmXTStyle', 'tmXTTickEndF', + 'tmXTTickSpacingF', 'tmXTTickStartF', 'tmXTValues', 'tmXUseBottom', + 'tmYLAutoPrecision', 'tmYLBorderOn', 'tmYLDataBottomF', + 'tmYLDataTopF', 'tmYLFormat', 'tmYLIrrTensionF', + 'tmYLIrregularPoints', 'tmYLLabelAngleF', 'tmYLLabelConstantSpacingF', + 'tmYLLabelDeltaF', 'tmYLLabelDirection', 'tmYLLabelFont', + 'tmYLLabelFontAspectF', 'tmYLLabelFontColor', 'tmYLLabelFontHeightF', + 'tmYLLabelFontQuality', 'tmYLLabelFontThicknessF', + 'tmYLLabelFuncCode', 'tmYLLabelJust', 'tmYLLabelStride', 'tmYLLabels', + 'tmYLLabelsOn', 'tmYLMajorLengthF', 'tmYLMajorLineColor', + 'tmYLMajorOutwardLengthF', 'tmYLMajorThicknessF', 'tmYLMaxLabelLenF', + 'tmYLMaxTicks', 'tmYLMinLabelSpacingF', 'tmYLMinorLengthF', + 'tmYLMinorLineColor', 'tmYLMinorOn', 'tmYLMinorOutwardLengthF', + 'tmYLMinorPerMajor', 'tmYLMinorThicknessF', 'tmYLMinorValues', + 'tmYLMode', 'tmYLOn', 'tmYLPrecision', 'tmYLStyle', 'tmYLTickEndF', + 'tmYLTickSpacingF', 'tmYLTickStartF', 'tmYLValues', 'tmYMajorGrid', + 'tmYMajorGridLineColor', 'tmYMajorGridLineDashPattern', + 'tmYMajorGridThicknessF', 'tmYMinorGrid', 'tmYMinorGridLineColor', + 'tmYMinorGridLineDashPattern', 'tmYMinorGridThicknessF', + 'tmYRAutoPrecision', 'tmYRBorderOn', 'tmYRDataBottomF', + 'tmYRDataTopF', 'tmYRFormat', 'tmYRIrrTensionF', + 'tmYRIrregularPoints', 'tmYRLabelAngleF', 'tmYRLabelConstantSpacingF', + 'tmYRLabelDeltaF', 'tmYRLabelDirection', 'tmYRLabelFont', + 'tmYRLabelFontAspectF', 'tmYRLabelFontColor', 'tmYRLabelFontHeightF', + 'tmYRLabelFontQuality', 'tmYRLabelFontThicknessF', + 'tmYRLabelFuncCode', 'tmYRLabelJust', 'tmYRLabelStride', 'tmYRLabels', + 'tmYRLabelsOn', 'tmYRMajorLengthF', 'tmYRMajorLineColor', + 'tmYRMajorOutwardLengthF', 'tmYRMajorThicknessF', 'tmYRMaxLabelLenF', + 'tmYRMaxTicks', 'tmYRMinLabelSpacingF', 'tmYRMinorLengthF', + 'tmYRMinorLineColor', 'tmYRMinorOn', 'tmYRMinorOutwardLengthF', + 'tmYRMinorPerMajor', 'tmYRMinorThicknessF', 'tmYRMinorValues', + 'tmYRMode', 'tmYROn', 'tmYRPrecision', 'tmYRStyle', 'tmYRTickEndF', + 'tmYRTickSpacingF', 'tmYRTickStartF', 'tmYRValues', 'tmYUseLeft', + 'trGridType', 'trLineInterpolationOn', + 'trXAxisType', 'trXCoordPoints', 'trXInterPoints', 'trXLog', + 'trXMaxF', 'trXMinF', 'trXReverse', 'trXSamples', 'trXTensionF', + 'trYAxisType', 'trYCoordPoints', 'trYInterPoints', 'trYLog', + 'trYMaxF', 'trYMinF', 'trYReverse', 'trYSamples', 'trYTensionF', + 'txAngleF', 'txBackgroundFillColor', 'txConstantSpacingF', 'txDirection', + 'txFont', 'HLU-Fonts', 'txFontAspectF', 'txFontColor', + 'txFontHeightF', 'txFontOpacityF', 'txFontQuality', + 'txFontThicknessF', 'txFuncCode', 'txJust', 'txPerimColor', + 'txPerimDashLengthF', 'txPerimDashPattern', 'txPerimOn', + 'txPerimSpaceF', 'txPerimThicknessF', 'txPosXF', 'txPosYF', + 'txString', 'vcExplicitLabelBarLabelsOn', 'vcFillArrowEdgeColor', + 'vcFillArrowEdgeThicknessF', 'vcFillArrowFillColor', + 'vcFillArrowHeadInteriorXF', 'vcFillArrowHeadMinFracXF', + 'vcFillArrowHeadMinFracYF', 'vcFillArrowHeadXF', 'vcFillArrowHeadYF', + 'vcFillArrowMinFracWidthF', 'vcFillArrowWidthF', 'vcFillArrowsOn', + 'vcFillOverEdge', 'vcGlyphOpacityF', 'vcGlyphStyle', + 'vcLabelBarEndLabelsOn', 'vcLabelFontColor', 'vcLabelFontHeightF', + 'vcLabelsOn', 'vcLabelsUseVectorColor', 'vcLevelColors', + 'vcLevelCount', 'vcLevelPalette', 'vcLevelSelectionMode', + 'vcLevelSpacingF', 'vcLevels', 'vcLineArrowColor', + 'vcLineArrowHeadMaxSizeF', 'vcLineArrowHeadMinSizeF', + 'vcLineArrowThicknessF', 'vcMagnitudeFormat', + 'vcMagnitudeScaleFactorF', 'vcMagnitudeScaleValueF', + 'vcMagnitudeScalingMode', 'vcMapDirection', 'vcMaxLevelCount', + 'vcMaxLevelValF', 'vcMaxMagnitudeF', 'vcMinAnnoAngleF', + 'vcMinAnnoArrowAngleF', 'vcMinAnnoArrowEdgeColor', + 'vcMinAnnoArrowFillColor', 'vcMinAnnoArrowLineColor', + 'vcMinAnnoArrowMinOffsetF', 'vcMinAnnoArrowSpaceF', + 'vcMinAnnoArrowUseVecColor', 'vcMinAnnoBackgroundColor', + 'vcMinAnnoConstantSpacingF', 'vcMinAnnoExplicitMagnitudeF', + 'vcMinAnnoFont', 'vcMinAnnoFontAspectF', 'vcMinAnnoFontColor', + 'vcMinAnnoFontHeightF', 'vcMinAnnoFontQuality', + 'vcMinAnnoFontThicknessF', 'vcMinAnnoFuncCode', 'vcMinAnnoJust', + 'vcMinAnnoOn', 'vcMinAnnoOrientation', 'vcMinAnnoOrthogonalPosF', + 'vcMinAnnoParallelPosF', 'vcMinAnnoPerimColor', 'vcMinAnnoPerimOn', + 'vcMinAnnoPerimSpaceF', 'vcMinAnnoPerimThicknessF', 'vcMinAnnoSide', + 'vcMinAnnoString1', 'vcMinAnnoString1On', 'vcMinAnnoString2', + 'vcMinAnnoString2On', 'vcMinAnnoTextDirection', 'vcMinAnnoZone', + 'vcMinDistanceF', 'vcMinFracLengthF', 'vcMinLevelValF', + 'vcMinMagnitudeF', 'vcMonoFillArrowEdgeColor', + 'vcMonoFillArrowFillColor', 'vcMonoLineArrowColor', + 'vcMonoWindBarbColor', 'vcNoDataLabelOn', 'vcNoDataLabelString', + 'vcPositionMode', 'vcRefAnnoAngleF', 'vcRefAnnoArrowAngleF', + 'vcRefAnnoArrowEdgeColor', 'vcRefAnnoArrowFillColor', + 'vcRefAnnoArrowLineColor', 'vcRefAnnoArrowMinOffsetF', + 'vcRefAnnoArrowSpaceF', 'vcRefAnnoArrowUseVecColor', + 'vcRefAnnoBackgroundColor', 'vcRefAnnoConstantSpacingF', + 'vcRefAnnoExplicitMagnitudeF', 'vcRefAnnoFont', + 'vcRefAnnoFontAspectF', 'vcRefAnnoFontColor', 'vcRefAnnoFontHeightF', + 'vcRefAnnoFontQuality', 'vcRefAnnoFontThicknessF', + 'vcRefAnnoFuncCode', 'vcRefAnnoJust', 'vcRefAnnoOn', + 'vcRefAnnoOrientation', 'vcRefAnnoOrthogonalPosF', + 'vcRefAnnoParallelPosF', 'vcRefAnnoPerimColor', 'vcRefAnnoPerimOn', + 'vcRefAnnoPerimSpaceF', 'vcRefAnnoPerimThicknessF', 'vcRefAnnoSide', + 'vcRefAnnoString1', 'vcRefAnnoString1On', 'vcRefAnnoString2', + 'vcRefAnnoString2On', 'vcRefAnnoTextDirection', 'vcRefAnnoZone', + 'vcRefLengthF', 'vcRefMagnitudeF', 'vcScalarFieldData', + 'vcScalarMissingValColor', 'vcScalarValueFormat', + 'vcScalarValueScaleFactorF', 'vcScalarValueScaleValueF', + 'vcScalarValueScalingMode', 'vcSpanLevelPalette', 'vcUseRefAnnoRes', + 'vcUseScalarArray', 'vcVectorDrawOrder', 'vcVectorFieldData', + 'vcWindBarbCalmCircleSizeF', 'vcWindBarbColor', + 'vcWindBarbLineThicknessF', 'vcWindBarbScaleFactorF', + 'vcWindBarbTickAngleF', 'vcWindBarbTickLengthF', + 'vcWindBarbTickSpacingF', 'vcZeroFLabelAngleF', + 'vcZeroFLabelBackgroundColor', 'vcZeroFLabelConstantSpacingF', + 'vcZeroFLabelFont', 'vcZeroFLabelFontAspectF', + 'vcZeroFLabelFontColor', 'vcZeroFLabelFontHeightF', + 'vcZeroFLabelFontQuality', 'vcZeroFLabelFontThicknessF', + 'vcZeroFLabelFuncCode', 'vcZeroFLabelJust', 'vcZeroFLabelOn', + 'vcZeroFLabelOrthogonalPosF', 'vcZeroFLabelParallelPosF', + 'vcZeroFLabelPerimColor', 'vcZeroFLabelPerimOn', + 'vcZeroFLabelPerimSpaceF', 'vcZeroFLabelPerimThicknessF', + 'vcZeroFLabelSide', 'vcZeroFLabelString', 'vcZeroFLabelTextDirection', + 'vcZeroFLabelZone', 'vfCopyData', 'vfDataArray', + 'vfExchangeDimensions', 'vfExchangeUVData', 'vfMagMaxV', 'vfMagMinV', + 'vfMissingUValueV', 'vfMissingVValueV', 'vfPolarData', + 'vfSingleMissingValue', 'vfUDataArray', 'vfUMaxV', 'vfUMinV', + 'vfVDataArray', 'vfVMaxV', 'vfVMinV', 'vfXArray', 'vfXCActualEndF', + 'vfXCActualStartF', 'vfXCEndIndex', 'vfXCEndSubsetV', 'vfXCEndV', + 'vfXCStartIndex', 'vfXCStartSubsetV', 'vfXCStartV', 'vfXCStride', + 'vfYArray', 'vfYCActualEndF', 'vfYCActualStartF', 'vfYCEndIndex', + 'vfYCEndSubsetV', 'vfYCEndV', 'vfYCStartIndex', 'vfYCStartSubsetV', + 'vfYCStartV', 'vfYCStride', 'vpAnnoManagerId', 'vpClipOn', + 'vpHeightF', 'vpKeepAspect', 'vpOn', 'vpUseSegments', 'vpWidthF', + 'vpXF', 'vpYF', 'wkAntiAlias', 'wkBackgroundColor', 'wkBackgroundOpacityF', + 'wkColorMapLen', 'wkColorMap', 'wkColorModel', 'wkDashTableLength', + 'wkDefGraphicStyleId', 'wkDeviceLowerX', 'wkDeviceLowerY', + 'wkDeviceUpperX', 'wkDeviceUpperY', 'wkFileName', 'wkFillTableLength', + 'wkForegroundColor', 'wkFormat', 'wkFullBackground', 'wkGksWorkId', + 'wkHeight', 'wkMarkerTableLength', 'wkMetaName', 'wkOrientation', + 'wkPDFFileName', 'wkPDFFormat', 'wkPDFResolution', 'wkPSFileName', + 'wkPSFormat', 'wkPSResolution', 'wkPaperHeightF', 'wkPaperSize', + 'wkPaperWidthF', 'wkPause', 'wkTopLevelViews', 'wkViews', + 'wkVisualType', 'wkWidth', 'wkWindowId', 'wkXColorMode', 'wsCurrentSize', + 'wsMaximumSize', 'wsThresholdSize', 'xyComputeXMax', + 'xyComputeXMin', 'xyComputeYMax', 'xyComputeYMin', 'xyCoordData', + 'xyCoordDataSpec', 'xyCurveDrawOrder', 'xyDashPattern', + 'xyDashPatterns', 'xyExplicitLabels', 'xyExplicitLegendLabels', + 'xyLabelMode', 'xyLineColor', 'xyLineColors', 'xyLineDashSegLenF', + 'xyLineLabelConstantSpacingF', 'xyLineLabelFont', + 'xyLineLabelFontAspectF', 'xyLineLabelFontColor', + 'xyLineLabelFontColors', 'xyLineLabelFontHeightF', + 'xyLineLabelFontQuality', 'xyLineLabelFontThicknessF', + 'xyLineLabelFuncCode', 'xyLineThicknessF', 'xyLineThicknesses', + 'xyMarkLineMode', 'xyMarkLineModes', 'xyMarker', 'xyMarkerColor', + 'xyMarkerColors', 'xyMarkerSizeF', 'xyMarkerSizes', + 'xyMarkerThicknessF', 'xyMarkerThicknesses', 'xyMarkers', + 'xyMonoDashPattern', 'xyMonoLineColor', 'xyMonoLineLabelFontColor', + 'xyMonoLineThickness', 'xyMonoMarkLineMode', 'xyMonoMarker', + 'xyMonoMarkerColor', 'xyMonoMarkerSize', 'xyMonoMarkerThickness', + 'xyXIrrTensionF', 'xyXIrregularPoints', 'xyXStyle', 'xyYIrrTensionF', + 'xyYIrregularPoints', 'xyYStyle'), prefix=r'\b'), + Name.Builtin), + + # Booleans + (r'\.(True|False)\.', Name.Builtin), + # Comparing Operators + (r'\.(eq|ne|lt|le|gt|ge|not|and|or|xor)\.', Operator.Word), + ], + + 'strings': [ + (r'(?s)"(\\\\|\\[0-7]+|\\.|[^"\\])*"', String.Double), + ], + + 'nums': [ + (r'\d+(?![.e])(_[a-z]\w+)?', Number.Integer), + (r'[+-]?\d*\.\d+(e[-+]?\d+)?(_[a-z]\w+)?', Number.Float), + (r'[+-]?\d+\.\d*(e[-+]?\d+)?(_[a-z]\w+)?', Number.Float), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/nimrod.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/nimrod.py new file mode 100644 index 0000000000000000000000000000000000000000..d438c1bfc1ca4f43d3c27a86df229e8642f3df8d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/nimrod.py @@ -0,0 +1,159 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.nimrod + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexer for the Nim language (formerly known as Nimrod). + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Error + +__all__ = ['NimrodLexer'] + + +class NimrodLexer(RegexLexer): + """ + For `Nim `_ source code. + + .. versionadded:: 1.5 + """ + + name = 'Nimrod' + aliases = ['nim', 'nimrod'] + filenames = ['*.nim', '*.nimrod'] + mimetypes = ['text/x-nim'] + + flags = re.MULTILINE | re.IGNORECASE | re.UNICODE + + def underscorize(words): + newWords = [] + new = "" + for word in words: + for ch in word: + new += (ch + "_?") + newWords.append(new) + new = "" + return "|".join(newWords) + + keywords = [ + 'addr', 'and', 'as', 'asm', 'atomic', 'bind', 'block', 'break', 'case', + 'cast', 'concept', 'const', 'continue', 'converter', 'defer', 'discard', + 'distinct', 'div', 'do', 'elif', 'else', 'end', 'enum', 'except', + 'export', 'finally', 'for', 'func', 'if', 'in', 'yield', 'interface', + 'is', 'isnot', 'iterator', 'let', 'macro', 'method', 'mixin', 'mod', + 'not', 'notin', 'object', 'of', 'or', 'out', 'proc', 'ptr', 'raise', + 'ref', 'return', 'shared', 'shl', 'shr', 'static', 'template', 'try', + 'tuple', 'type', 'when', 'while', 'with', 'without', 'xor' + ] + + keywordsPseudo = [ + 'nil', 'true', 'false' + ] + + opWords = [ + 'and', 'or', 'not', 'xor', 'shl', 'shr', 'div', 'mod', 'in', + 'notin', 'is', 'isnot' + ] + + types = [ + 'int', 'int8', 'int16', 'int32', 'int64', 'float', 'float32', 'float64', + 'bool', 'char', 'range', 'array', 'seq', 'set', 'string' + ] + + tokens = { + 'root': [ + (r'##.*$', String.Doc), + (r'#.*$', Comment), + (r'[*=><+\-/@$~&%!?|\\\[\]]', Operator), + (r'\.\.|\.|,|\[\.|\.\]|\{\.|\.\}|\(\.|\.\)|\{|\}|\(|\)|:|\^|`|;', + Punctuation), + + # Strings + (r'(?:[\w]+)"', String, 'rdqs'), + (r'"""', String, 'tdqs'), + ('"', String, 'dqs'), + + # Char + ("'", String.Char, 'chars'), + + # Keywords + (r'(%s)\b' % underscorize(opWords), Operator.Word), + (r'(p_?r_?o_?c_?\s)(?![(\[\]])', Keyword, 'funcname'), + (r'(%s)\b' % underscorize(keywords), Keyword), + (r'(%s)\b' % underscorize(['from', 'import', 'include']), + Keyword.Namespace), + (r'(v_?a_?r)\b', Keyword.Declaration), + (r'(%s)\b' % underscorize(types), Keyword.Type), + (r'(%s)\b' % underscorize(keywordsPseudo), Keyword.Pseudo), + # Identifiers + (r'\b((?![_\d])\w)(((?!_)\w)|(_(?!_)\w))*', Name), + # Numbers + (r'[0-9][0-9_]*(?=([e.]|\'f(32|64)))', + Number.Float, ('float-suffix', 'float-number')), + (r'0x[a-f0-9][a-f0-9_]*', Number.Hex, 'int-suffix'), + (r'0b[01][01_]*', Number.Bin, 'int-suffix'), + (r'0o[0-7][0-7_]*', Number.Oct, 'int-suffix'), + (r'[0-9][0-9_]*', Number.Integer, 'int-suffix'), + # Whitespace + (r'\s+', Text), + (r'.+$', Error), + ], + 'chars': [ + (r'\\([\\abcefnrtvl"\']|x[a-f0-9]{2}|[0-9]{1,3})', String.Escape), + (r"'", String.Char, '#pop'), + (r".", String.Char) + ], + 'strings': [ + (r'(?`_ source. + + .. versionadded:: 2.0 + """ + + name = 'Nit' + aliases = ['nit'] + filenames = ['*.nit'] + tokens = { + 'root': [ + (r'#.*?$', Comment.Single), + (words(( + 'package', 'module', 'import', 'class', 'abstract', 'interface', + 'universal', 'enum', 'end', 'fun', 'type', 'init', 'redef', + 'isa', 'do', 'readable', 'writable', 'var', 'intern', 'extern', + 'public', 'protected', 'private', 'intrude', 'if', 'then', + 'else', 'while', 'loop', 'for', 'in', 'and', 'or', 'not', + 'implies', 'return', 'continue', 'break', 'abort', 'assert', + 'new', 'is', 'once', 'super', 'self', 'true', 'false', 'nullable', + 'null', 'as', 'isset', 'label', '__debug__'), suffix=r'(?=[\r\n\t( ])'), + Keyword), + (r'[A-Z]\w*', Name.Class), + (r'"""(([^\'\\]|\\.)|\\r|\\n)*((\{\{?)?(""?\{\{?)*""""*)', String), # Simple long string + (r'\'\'\'(((\\.|[^\'\\])|\\r|\\n)|\'((\\.|[^\'\\])|\\r|\\n)|' + r'\'\'((\\.|[^\'\\])|\\r|\\n))*\'\'\'', String), # Simple long string alt + (r'"""(([^\'\\]|\\.)|\\r|\\n)*((""?)?(\{\{?""?)*\{\{\{\{*)', String), # Start long string + (r'\}\}\}(((\\.|[^\'\\])|\\r|\\n))*(""?)?(\{\{?""?)*\{\{\{\{*', String), # Mid long string + (r'\}\}\}(((\\.|[^\'\\])|\\r|\\n))*(\{\{?)?(""?\{\{?)*""""*', String), # End long string + (r'"(\\.|([^"}{\\]))*"', String), # Simple String + (r'"(\\.|([^"}{\\]))*\{', String), # Start string + (r'\}(\\.|([^"}{\\]))*\{', String), # Mid String + (r'\}(\\.|([^"}{\\]))*"', String), # End String + (r'(\'[^\'\\]\')|(\'\\.\')', String.Char), + (r'[0-9]+', Number.Integer), + (r'[0-9]*.[0-9]+', Number.Float), + (r'0(x|X)[0-9A-Fa-f]+', Number.Hex), + (r'[a-z]\w*', Name), + (r'_\w+', Name.Variable.Instance), + (r'==|!=|<==>|>=|>>|>|<=|<<|<|\+|-|=|/|\*|%|\+=|-=|!|@', Operator), + (r'\(|\)|\[|\]|,|\.\.\.|\.\.|\.|::|:', Punctuation), + (r'`\{[^`]*`\}', Text), # Extern blocks won't be Lexed by Nit + (r'[\r\n\t ]+', Text), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/nix.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/nix.py new file mode 100644 index 0000000000000000000000000000000000000000..e148c9193886e50d60b4fba27dfac5ecc05f1055 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/nix.py @@ -0,0 +1,136 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.nix + ~~~~~~~~~~~~~~~~~~~ + + Lexers for the NixOS Nix language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Literal + +__all__ = ['NixLexer'] + + +class NixLexer(RegexLexer): + """ + For the `Nix language `_. + + .. versionadded:: 2.0 + """ + + name = 'Nix' + aliases = ['nixos', 'nix'] + filenames = ['*.nix'] + mimetypes = ['text/x-nix'] + + flags = re.MULTILINE | re.UNICODE + + keywords = ['rec', 'with', 'let', 'in', 'inherit', 'assert', 'if', + 'else', 'then', '...'] + builtins = ['import', 'abort', 'baseNameOf', 'dirOf', 'isNull', 'builtins', + 'map', 'removeAttrs', 'throw', 'toString', 'derivation'] + operators = ['++', '+', '?', '.', '!', '//', '==', + '!=', '&&', '||', '->', '='] + + punctuations = ["(", ")", "[", "]", ";", "{", "}", ":", ",", "@"] + + tokens = { + 'root': [ + # comments starting with # + (r'#.*$', Comment.Single), + + # multiline comments + (r'/\*', Comment.Multiline, 'comment'), + + # whitespace + (r'\s+', Text), + + # keywords + ('(%s)' % '|'.join(re.escape(entry) + '\\b' for entry in keywords), Keyword), + + # highlight the builtins + ('(%s)' % '|'.join(re.escape(entry) + '\\b' for entry in builtins), + Name.Builtin), + + (r'\b(true|false|null)\b', Name.Constant), + + # operators + ('(%s)' % '|'.join(re.escape(entry) for entry in operators), + Operator), + + # word operators + (r'\b(or|and)\b', Operator.Word), + + # punctuations + ('(%s)' % '|'.join(re.escape(entry) for entry in punctuations), Punctuation), + + # integers + (r'[0-9]+', Number.Integer), + + # strings + (r'"', String.Double, 'doublequote'), + (r"''", String.Single, 'singlequote'), + + # paths + (r'[\w.+-]*(\/[\w.+-]+)+', Literal), + (r'\<[\w.+-]+(\/[\w.+-]+)*\>', Literal), + + # urls + (r'[a-zA-Z][a-zA-Z0-9\+\-\.]*\:[\w%/?:@&=+$,\\.!~*\'-]+', Literal), + + # names of variables + (r'[\w-]+\s*=', String.Symbol), + (r'[a-zA-Z_][\w\'-]*', Text), + + ], + 'comment': [ + (r'[^/*]+', Comment.Multiline), + (r'/\*', Comment.Multiline, '#push'), + (r'\*/', Comment.Multiline, '#pop'), + (r'[*/]', Comment.Multiline), + ], + 'singlequote': [ + (r"'''", String.Escape), + (r"''\$\{", String.Escape), + (r"''\n", String.Escape), + (r"''\r", String.Escape), + (r"''\t", String.Escape), + (r"''", String.Single, '#pop'), + (r'\$\{', String.Interpol, 'antiquote'), + (r"[^']", String.Single), + ], + 'doublequote': [ + (r'\\', String.Escape), + (r'\\"', String.Escape), + (r'\\$\{', String.Escape), + (r'"', String.Double, '#pop'), + (r'\$\{', String.Interpol, 'antiquote'), + (r'[^"]', String.Double), + ], + 'antiquote': [ + (r"\}", String.Interpol, '#pop'), + # TODO: we should probably escape also here ''${ \${ + (r"\$\{", String.Interpol, '#push'), + include('root'), + ], + } + + def analyse_text(text): + rv = 0.0 + # TODO: let/in + if re.search(r'import.+?<[^>]+>', text): + rv += 0.4 + if re.search(r'mkDerivation\s+(\(|\{|rec)', text): + rv += 0.4 + if re.search(r'=\s+mkIf\s+', text): + rv += 0.4 + if re.search(r'\{[a-zA-Z,\s]+\}:', text): + rv += 0.1 + return rv diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/oberon.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/oberon.py new file mode 100644 index 0000000000000000000000000000000000000000..3b5fb3e4ba3e2dc354a34a7924ee787fe857deb7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/oberon.py @@ -0,0 +1,105 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.oberon + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Oberon family languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation + +__all__ = ['ComponentPascalLexer'] + + +class ComponentPascalLexer(RegexLexer): + """ + For `Component Pascal `_ source code. + + .. versionadded:: 2.1 + """ + name = 'Component Pascal' + aliases = ['componentpascal', 'cp'] + filenames = ['*.cp', '*.cps'] + mimetypes = ['text/x-component-pascal'] + + flags = re.MULTILINE | re.DOTALL + + tokens = { + 'root': [ + include('whitespace'), + include('comments'), + include('punctuation'), + include('numliterals'), + include('strings'), + include('operators'), + include('builtins'), + include('identifiers'), + ], + 'whitespace': [ + (r'\n+', Text), # blank lines + (r'\s+', Text), # whitespace + ], + 'comments': [ + (r'\(\*([^$].*?)\*\)', Comment.Multiline), + # TODO: nested comments (* (* ... *) ... (* ... *) *) not supported! + ], + 'punctuation': [ + (r'[()\[\]{},.:;|]', Punctuation), + ], + 'numliterals': [ + (r'[0-9A-F]+X\b', Number.Hex), # char code + (r'[0-9A-F]+[HL]\b', Number.Hex), # hexadecimal number + (r'[0-9]+\.[0-9]+E[+-][0-9]+', Number.Float), # real number + (r'[0-9]+\.[0-9]+', Number.Float), # real number + (r'[0-9]+', Number.Integer), # decimal whole number + ], + 'strings': [ + (r"'[^\n']*'", String), # single quoted string + (r'"[^\n"]*"', String), # double quoted string + ], + 'operators': [ + # Arithmetic Operators + (r'[+-]', Operator), + (r'[*/]', Operator), + # Relational Operators + (r'[=#<>]', Operator), + # Dereferencing Operator + (r'\^', Operator), + # Logical AND Operator + (r'&', Operator), + # Logical NOT Operator + (r'~', Operator), + # Assignment Symbol + (r':=', Operator), + # Range Constructor + (r'\.\.', Operator), + (r'\$', Operator), + ], + 'identifiers': [ + (r'([a-zA-Z_$][\w$]*)', Name), + ], + 'builtins': [ + (words(( + 'ANYPTR', 'ANYREC', 'BOOLEAN', 'BYTE', 'CHAR', 'INTEGER', 'LONGINT', + 'REAL', 'SET', 'SHORTCHAR', 'SHORTINT', 'SHORTREAL' + ), suffix=r'\b'), Keyword.Type), + (words(( + 'ABS', 'ABSTRACT', 'ARRAY', 'ASH', 'ASSERT', 'BEGIN', 'BITS', 'BY', + 'CAP', 'CASE', 'CHR', 'CLOSE', 'CONST', 'DEC', 'DIV', 'DO', 'ELSE', + 'ELSIF', 'EMPTY', 'END', 'ENTIER', 'EXCL', 'EXIT', 'EXTENSIBLE', 'FOR', + 'HALT', 'IF', 'IMPORT', 'IN', 'INC', 'INCL', 'IS', 'LEN', 'LIMITED', + 'LONG', 'LOOP', 'MAX', 'MIN', 'MOD', 'MODULE', 'NEW', 'ODD', 'OF', + 'OR', 'ORD', 'OUT', 'POINTER', 'PROCEDURE', 'RECORD', 'REPEAT', 'RETURN', + 'SHORT', 'SHORTCHAR', 'SHORTINT', 'SIZE', 'THEN', 'TYPE', 'TO', 'UNTIL', + 'VAR', 'WHILE', 'WITH' + ), suffix=r'\b'), Keyword.Reserved), + (r'(TRUE|FALSE|NIL|INF)\b', Keyword.Constant), + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/objective.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/objective.py new file mode 100644 index 0000000000000000000000000000000000000000..7807255e6696adf3f7bc8b1ed457774098fc8d70 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/objective.py @@ -0,0 +1,504 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.objective + ~~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Objective-C family languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, using, this, words, \ + inherit, default +from pygments.token import Text, Keyword, Name, String, Operator, \ + Number, Punctuation, Literal, Comment + +from pygments.lexers.c_cpp import CLexer, CppLexer + +__all__ = ['ObjectiveCLexer', 'ObjectiveCppLexer', 'LogosLexer', 'SwiftLexer'] + + +def objective(baselexer): + """ + Generate a subclass of baselexer that accepts the Objective-C syntax + extensions. + """ + + # Have to be careful not to accidentally match JavaDoc/Doxygen syntax here, + # since that's quite common in ordinary C/C++ files. It's OK to match + # JavaDoc/Doxygen keywords that only apply to Objective-C, mind. + # + # The upshot of this is that we CANNOT match @class or @interface + _oc_keywords = re.compile(r'@(?:end|implementation|protocol)') + + # Matches [ ? identifier ( identifier ? ] | identifier? : ) + # (note the identifier is *optional* when there is a ':'!) + _oc_message = re.compile(r'\[\s*[a-zA-Z_]\w*\s+' + r'(?:[a-zA-Z_]\w*\s*\]|' + r'(?:[a-zA-Z_]\w*)?:)') + + class GeneratedObjectiveCVariant(baselexer): + """ + Implements Objective-C syntax on top of an existing C family lexer. + """ + + tokens = { + 'statements': [ + (r'@"', String, 'string'), + (r'@(YES|NO)', Number), + (r"@'(\\.|\\[0-7]{1,3}|\\x[a-fA-F0-9]{1,2}|[^\\\'\n])'", String.Char), + (r'@(\d+\.\d*|\.\d+|\d+)[eE][+-]?\d+[lL]?', Number.Float), + (r'@(\d+\.\d*|\.\d+|\d+[fF])[fF]?', Number.Float), + (r'@0x[0-9a-fA-F]+[Ll]?', Number.Hex), + (r'@0[0-7]+[Ll]?', Number.Oct), + (r'@\d+[Ll]?', Number.Integer), + (r'@\(', Literal, 'literal_number'), + (r'@\[', Literal, 'literal_array'), + (r'@\{', Literal, 'literal_dictionary'), + (words(( + '@selector', '@private', '@protected', '@public', '@encode', + '@synchronized', '@try', '@throw', '@catch', '@finally', + '@end', '@property', '@synthesize', '__bridge', '__bridge_transfer', + '__autoreleasing', '__block', '__weak', '__strong', 'weak', 'strong', + 'copy', 'retain', 'assign', 'unsafe_unretained', 'atomic', 'nonatomic', + 'readonly', 'readwrite', 'setter', 'getter', 'typeof', 'in', + 'out', 'inout', 'release', 'class', '@dynamic', '@optional', + '@required', '@autoreleasepool'), suffix=r'\b'), + Keyword), + (words(('id', 'instancetype', 'Class', 'IMP', 'SEL', 'BOOL', + 'IBOutlet', 'IBAction', 'unichar'), suffix=r'\b'), + Keyword.Type), + (r'@(true|false|YES|NO)\n', Name.Builtin), + (r'(YES|NO|nil|self|super)\b', Name.Builtin), + # Carbon types + (r'(Boolean|UInt8|SInt8|UInt16|SInt16|UInt32|SInt32)\b', Keyword.Type), + # Carbon built-ins + (r'(TRUE|FALSE)\b', Name.Builtin), + (r'(@interface|@implementation)(\s+)', bygroups(Keyword, Text), + ('#pop', 'oc_classname')), + (r'(@class|@protocol)(\s+)', bygroups(Keyword, Text), + ('#pop', 'oc_forward_classname')), + # @ can also prefix other expressions like @{...} or @(...) + (r'@', Punctuation), + inherit, + ], + 'oc_classname': [ + # interface definition that inherits + ('([a-zA-Z$_][\w$]*)(\s*:\s*)([a-zA-Z$_][\w$]*)?(\s*)(\{)', + bygroups(Name.Class, Text, Name.Class, Text, Punctuation), + ('#pop', 'oc_ivars')), + ('([a-zA-Z$_][\w$]*)(\s*:\s*)([a-zA-Z$_][\w$]*)?', + bygroups(Name.Class, Text, Name.Class), '#pop'), + # interface definition for a category + ('([a-zA-Z$_][\w$]*)(\s*)(\([a-zA-Z$_][\w$]*\))(\s*)(\{)', + bygroups(Name.Class, Text, Name.Label, Text, Punctuation), + ('#pop', 'oc_ivars')), + ('([a-zA-Z$_][\w$]*)(\s*)(\([a-zA-Z$_][\w$]*\))', + bygroups(Name.Class, Text, Name.Label), '#pop'), + # simple interface / implementation + ('([a-zA-Z$_][\w$]*)(\s*)(\{)', + bygroups(Name.Class, Text, Punctuation), ('#pop', 'oc_ivars')), + ('([a-zA-Z$_][\w$]*)', Name.Class, '#pop') + ], + 'oc_forward_classname': [ + ('([a-zA-Z$_][\w$]*)(\s*,\s*)', + bygroups(Name.Class, Text), 'oc_forward_classname'), + ('([a-zA-Z$_][\w$]*)(\s*;?)', + bygroups(Name.Class, Text), '#pop') + ], + 'oc_ivars': [ + include('whitespace'), + include('statements'), + (';', Punctuation), + (r'\{', Punctuation, '#push'), + (r'\}', Punctuation, '#pop'), + ], + 'root': [ + # methods + (r'^([-+])(\s*)' # method marker + r'(\(.*?\))?(\s*)' # return type + r'([a-zA-Z$_][\w$]*:?)', # begin of method name + bygroups(Punctuation, Text, using(this), + Text, Name.Function), + 'method'), + inherit, + ], + 'method': [ + include('whitespace'), + # TODO unsure if ellipses are allowed elsewhere, see + # discussion in Issue 789 + (r',', Punctuation), + (r'\.\.\.', Punctuation), + (r'(\(.*?\))(\s*)([a-zA-Z$_][\w$]*)', + bygroups(using(this), Text, Name.Variable)), + (r'[a-zA-Z$_][\w$]*:', Name.Function), + (';', Punctuation, '#pop'), + (r'\{', Punctuation, 'function'), + default('#pop'), + ], + 'literal_number': [ + (r'\(', Punctuation, 'literal_number_inner'), + (r'\)', Literal, '#pop'), + include('statement'), + ], + 'literal_number_inner': [ + (r'\(', Punctuation, '#push'), + (r'\)', Punctuation, '#pop'), + include('statement'), + ], + 'literal_array': [ + (r'\[', Punctuation, 'literal_array_inner'), + (r'\]', Literal, '#pop'), + include('statement'), + ], + 'literal_array_inner': [ + (r'\[', Punctuation, '#push'), + (r'\]', Punctuation, '#pop'), + include('statement'), + ], + 'literal_dictionary': [ + (r'\}', Literal, '#pop'), + include('statement'), + ], + } + + def analyse_text(text): + if _oc_keywords.search(text): + return 1.0 + elif '@"' in text: # strings + return 0.8 + elif re.search('@[0-9]+', text): + return 0.7 + elif _oc_message.search(text): + return 0.8 + return 0 + + def get_tokens_unprocessed(self, text): + from pygments.lexers._cocoa_builtins import COCOA_INTERFACES, \ + COCOA_PROTOCOLS, COCOA_PRIMITIVES + + for index, token, value in \ + baselexer.get_tokens_unprocessed(self, text): + if token is Name or token is Name.Class: + if value in COCOA_INTERFACES or value in COCOA_PROTOCOLS \ + or value in COCOA_PRIMITIVES: + token = Name.Builtin.Pseudo + + yield index, token, value + + return GeneratedObjectiveCVariant + + +class ObjectiveCLexer(objective(CLexer)): + """ + For Objective-C source code with preprocessor directives. + """ + + name = 'Objective-C' + aliases = ['objective-c', 'objectivec', 'obj-c', 'objc'] + filenames = ['*.m', '*.h'] + mimetypes = ['text/x-objective-c'] + priority = 0.05 # Lower than C + + +class ObjectiveCppLexer(objective(CppLexer)): + """ + For Objective-C++ source code with preprocessor directives. + """ + + name = 'Objective-C++' + aliases = ['objective-c++', 'objectivec++', 'obj-c++', 'objc++'] + filenames = ['*.mm', '*.hh'] + mimetypes = ['text/x-objective-c++'] + priority = 0.05 # Lower than C++ + + +class LogosLexer(ObjectiveCppLexer): + """ + For Logos + Objective-C source code with preprocessor directives. + + .. versionadded:: 1.6 + """ + + name = 'Logos' + aliases = ['logos'] + filenames = ['*.x', '*.xi', '*.xm', '*.xmi'] + mimetypes = ['text/x-logos'] + priority = 0.25 + + tokens = { + 'statements': [ + (r'(%orig|%log)\b', Keyword), + (r'(%c)\b(\()(\s*)([a-zA-Z$_][\w$]*)(\s*)(\))', + bygroups(Keyword, Punctuation, Text, Name.Class, Text, Punctuation)), + (r'(%init)\b(\()', + bygroups(Keyword, Punctuation), 'logos_init_directive'), + (r'(%init)(?=\s*;)', bygroups(Keyword)), + (r'(%hook|%group)(\s+)([a-zA-Z$_][\w$]+)', + bygroups(Keyword, Text, Name.Class), '#pop'), + (r'(%subclass)(\s+)', bygroups(Keyword, Text), + ('#pop', 'logos_classname')), + inherit, + ], + 'logos_init_directive': [ + ('\s+', Text), + (',', Punctuation, ('logos_init_directive', '#pop')), + ('([a-zA-Z$_][\w$]*)(\s*)(=)(\s*)([^);]*)', + bygroups(Name.Class, Text, Punctuation, Text, Text)), + ('([a-zA-Z$_][\w$]*)', Name.Class), + ('\)', Punctuation, '#pop'), + ], + 'logos_classname': [ + ('([a-zA-Z$_][\w$]*)(\s*:\s*)([a-zA-Z$_][\w$]*)?', + bygroups(Name.Class, Text, Name.Class), '#pop'), + ('([a-zA-Z$_][\w$]*)', Name.Class, '#pop') + ], + 'root': [ + (r'(%subclass)(\s+)', bygroups(Keyword, Text), + 'logos_classname'), + (r'(%hook|%group)(\s+)([a-zA-Z$_][\w$]+)', + bygroups(Keyword, Text, Name.Class)), + (r'(%config)(\s*\(\s*)(\w+)(\s*=\s*)(.*?)(\s*\)\s*)', + bygroups(Keyword, Text, Name.Variable, Text, String, Text)), + (r'(%ctor)(\s*)(\{)', bygroups(Keyword, Text, Punctuation), + 'function'), + (r'(%new)(\s*)(\()(\s*.*?\s*)(\))', + bygroups(Keyword, Text, Keyword, String, Keyword)), + (r'(\s*)(%end)(\s*)', bygroups(Text, Keyword, Text)), + inherit, + ], + } + + _logos_keywords = re.compile(r'%(?:hook|ctor|init|c\()') + + def analyse_text(text): + if LogosLexer._logos_keywords.search(text): + return 1.0 + return 0 + + +class SwiftLexer(RegexLexer): + """ + For `Swift `_ source. + + .. versionadded:: 2.0 + """ + name = 'Swift' + filenames = ['*.swift'] + aliases = ['swift'] + mimetypes = ['text/x-swift'] + + tokens = { + 'root': [ + # Whitespace and Comments + (r'\n', Text), + (r'\s+', Text), + (r'//', Comment.Single, 'comment-single'), + (r'/\*', Comment.Multiline, 'comment-multi'), + (r'#(if|elseif|else|endif|available)\b', Comment.Preproc, 'preproc'), + + # Keywords + include('keywords'), + + # Global Types + (words(( + 'Array', 'AutoreleasingUnsafeMutablePointer', 'BidirectionalReverseView', + 'Bit', 'Bool', 'CFunctionPointer', 'COpaquePointer', 'CVaListPointer', + 'Character', 'ClosedInterval', 'CollectionOfOne', 'ContiguousArray', + 'Dictionary', 'DictionaryGenerator', 'DictionaryIndex', 'Double', + 'EmptyCollection', 'EmptyGenerator', 'EnumerateGenerator', + 'EnumerateSequence', 'FilterCollectionView', + 'FilterCollectionViewIndex', 'FilterGenerator', 'FilterSequenceView', + 'Float', 'Float80', 'FloatingPointClassification', 'GeneratorOf', + 'GeneratorOfOne', 'GeneratorSequence', 'HalfOpenInterval', 'HeapBuffer', + 'HeapBufferStorage', 'ImplicitlyUnwrappedOptional', 'IndexingGenerator', + 'Int', 'Int16', 'Int32', 'Int64', 'Int8', 'LazyBidirectionalCollection', + 'LazyForwardCollection', 'LazyRandomAccessCollection', + 'LazySequence', 'MapCollectionView', 'MapSequenceGenerator', + 'MapSequenceView', 'MirrorDisposition', 'ObjectIdentifier', 'OnHeap', + 'Optional', 'PermutationGenerator', 'QuickLookObject', + 'RandomAccessReverseView', 'Range', 'RangeGenerator', 'RawByte', 'Repeat', + 'ReverseBidirectionalIndex', 'ReverseRandomAccessIndex', 'SequenceOf', + 'SinkOf', 'Slice', 'StaticString', 'StrideThrough', 'StrideThroughGenerator', + 'StrideTo', 'StrideToGenerator', 'String', 'UInt', 'UInt16', 'UInt32', + 'UInt64', 'UInt8', 'UTF16', 'UTF32', 'UTF8', 'UnicodeDecodingResult', + 'UnicodeScalar', 'Unmanaged', 'UnsafeBufferPointer', + 'UnsafeBufferPointerGenerator', 'UnsafeMutableBufferPointer', + 'UnsafeMutablePointer', 'UnsafePointer', 'Zip2', 'ZipGenerator2', + # Protocols + 'AbsoluteValuable', 'AnyObject', 'ArrayLiteralConvertible', + 'BidirectionalIndexType', 'BitwiseOperationsType', + 'BooleanLiteralConvertible', 'BooleanType', 'CVarArgType', + 'CollectionType', 'Comparable', 'DebugPrintable', + 'DictionaryLiteralConvertible', 'Equatable', + 'ExtendedGraphemeClusterLiteralConvertible', + 'ExtensibleCollectionType', 'FloatLiteralConvertible', + 'FloatingPointType', 'ForwardIndexType', 'GeneratorType', 'Hashable', + 'IntegerArithmeticType', 'IntegerLiteralConvertible', 'IntegerType', + 'IntervalType', 'MirrorType', 'MutableCollectionType', 'MutableSliceable', + 'NilLiteralConvertible', 'OutputStreamType', 'Printable', + 'RandomAccessIndexType', 'RangeReplaceableCollectionType', + 'RawOptionSetType', 'RawRepresentable', 'Reflectable', 'SequenceType', + 'SignedIntegerType', 'SignedNumberType', 'SinkType', 'Sliceable', + 'Streamable', 'Strideable', 'StringInterpolationConvertible', + 'StringLiteralConvertible', 'UnicodeCodecType', + 'UnicodeScalarLiteralConvertible', 'UnsignedIntegerType', + '_ArrayBufferType', '_BidirectionalIndexType', '_CocoaStringType', + '_CollectionType', '_Comparable', '_ExtensibleCollectionType', + '_ForwardIndexType', '_Incrementable', '_IntegerArithmeticType', + '_IntegerType', '_ObjectiveCBridgeable', '_RandomAccessIndexType', + '_RawOptionSetType', '_SequenceType', '_Sequence_Type', + '_SignedIntegerType', '_SignedNumberType', '_Sliceable', '_Strideable', + '_SwiftNSArrayRequiredOverridesType', '_SwiftNSArrayType', + '_SwiftNSCopyingType', '_SwiftNSDictionaryRequiredOverridesType', + '_SwiftNSDictionaryType', '_SwiftNSEnumeratorType', + '_SwiftNSFastEnumerationType', '_SwiftNSStringRequiredOverridesType', + '_SwiftNSStringType', '_UnsignedIntegerType', + # Variables + 'C_ARGC', 'C_ARGV', 'Process', + # Typealiases + 'Any', 'AnyClass', 'BooleanLiteralType', 'CBool', 'CChar', 'CChar16', + 'CChar32', 'CDouble', 'CFloat', 'CInt', 'CLong', 'CLongLong', 'CShort', + 'CSignedChar', 'CUnsignedInt', 'CUnsignedLong', 'CUnsignedShort', + 'CWideChar', 'ExtendedGraphemeClusterType', 'Float32', 'Float64', + 'FloatLiteralType', 'IntMax', 'IntegerLiteralType', 'StringLiteralType', + 'UIntMax', 'UWord', 'UnicodeScalarType', 'Void', 'Word', + # Foundation/Cocoa + 'NSErrorPointer', 'NSObjectProtocol', 'Selector'), suffix=r'\b'), + Name.Builtin), + # Functions + (words(( + 'abs', 'advance', 'alignof', 'alignofValue', 'assert', 'assertionFailure', + 'contains', 'count', 'countElements', 'debugPrint', 'debugPrintln', + 'distance', 'dropFirst', 'dropLast', 'dump', 'enumerate', 'equal', + 'extend', 'fatalError', 'filter', 'find', 'first', 'getVaList', 'indices', + 'insert', 'isEmpty', 'join', 'last', 'lazy', 'lexicographicalCompare', + 'map', 'max', 'maxElement', 'min', 'minElement', 'numericCast', 'overlaps', + 'partition', 'precondition', 'preconditionFailure', 'prefix', 'print', + 'println', 'reduce', 'reflect', 'removeAll', 'removeAtIndex', 'removeLast', + 'removeRange', 'reverse', 'sizeof', 'sizeofValue', 'sort', 'sorted', + 'splice', 'split', 'startsWith', 'stride', 'strideof', 'strideofValue', + 'suffix', 'swap', 'toDebugString', 'toString', 'transcode', + 'underestimateCount', 'unsafeAddressOf', 'unsafeBitCast', 'unsafeDowncast', + 'withExtendedLifetime', 'withUnsafeMutablePointer', + 'withUnsafeMutablePointers', 'withUnsafePointer', 'withUnsafePointers', + 'withVaList'), suffix=r'\b'), + Name.Builtin.Pseudo), + + # Implicit Block Variables + (r'\$\d+', Name.Variable), + + # Binary Literal + (r'0b[01_]+', Number.Bin), + # Octal Literal + (r'0o[0-7_]+', Number.Oct), + # Hexadecimal Literal + (r'0x[0-9a-fA-F_]+', Number.Hex), + # Decimal Literal + (r'[0-9][0-9_]*(\.[0-9_]+[eE][+\-]?[0-9_]+|' + r'\.[0-9_]*|[eE][+\-]?[0-9_]+)', Number.Float), + (r'[0-9][0-9_]*', Number.Integer), + # String Literal + (r'"', String, 'string'), + + # Operators and Punctuation + (r'[(){}\[\].,:;=@#`?]|->|[<&?](?=\w)|(?<=\w)[>!?]', Punctuation), + (r'[/=\-+!*%<>&|^?~]+', Operator), + + # Identifier + (r'[a-zA-Z_]\w*', Name) + ], + 'keywords': [ + (words(( + 'as', 'break', 'case', 'catch', 'continue', 'default', 'defer', + 'do', 'else', 'fallthrough', 'for', 'guard', 'if', 'in', 'is', + 'repeat', 'return', '#selector', 'switch', 'throw', 'try', + 'where', 'while'), suffix=r'\b'), + Keyword), + (r'@availability\([^)]+\)', Keyword.Reserved), + (words(( + 'associativity', 'convenience', 'dynamic', 'didSet', 'final', + 'get', 'indirect', 'infix', 'inout', 'lazy', 'left', 'mutating', + 'none', 'nonmutating', 'optional', 'override', 'postfix', + 'precedence', 'prefix', 'Protocol', 'required', 'rethrows', + 'right', 'set', 'throws', 'Type', 'unowned', 'weak', 'willSet', + '@availability', '@autoclosure', '@noreturn', + '@NSApplicationMain', '@NSCopying', '@NSManaged', '@objc', + '@UIApplicationMain', '@IBAction', '@IBDesignable', + '@IBInspectable', '@IBOutlet'), suffix=r'\b'), + Keyword.Reserved), + (r'(as|dynamicType|false|is|nil|self|Self|super|true|__COLUMN__' + r'|__FILE__|__FUNCTION__|__LINE__|_' + r'|#(?:file|line|column|function))\b', Keyword.Constant), + (r'import\b', Keyword.Declaration, 'module'), + (r'(class|enum|extension|struct|protocol)(\s+)([a-zA-Z_]\w*)', + bygroups(Keyword.Declaration, Text, Name.Class)), + (r'(func)(\s+)([a-zA-Z_]\w*)', + bygroups(Keyword.Declaration, Text, Name.Function)), + (r'(var|let)(\s+)([a-zA-Z_]\w*)', bygroups(Keyword.Declaration, + Text, Name.Variable)), + (words(( + 'class', 'deinit', 'enum', 'extension', 'func', 'import', 'init', + 'internal', 'let', 'operator', 'private', 'protocol', 'public', + 'static', 'struct', 'subscript', 'typealias', 'var'), suffix=r'\b'), + Keyword.Declaration) + ], + 'comment': [ + (r':param: [a-zA-Z_]\w*|:returns?:|(FIXME|MARK|TODO):', + Comment.Special) + ], + + # Nested + 'comment-single': [ + (r'\n', Text, '#pop'), + include('comment'), + (r'[^\n]', Comment.Single) + ], + 'comment-multi': [ + include('comment'), + (r'[^*/]', Comment.Multiline), + (r'/\*', Comment.Multiline, '#push'), + (r'\*/', Comment.Multiline, '#pop'), + (r'[*/]', Comment.Multiline) + ], + 'module': [ + (r'\n', Text, '#pop'), + (r'[a-zA-Z_]\w*', Name.Class), + include('root') + ], + 'preproc': [ + (r'\n', Text, '#pop'), + include('keywords'), + (r'[A-Za-z]\w*', Comment.Preproc), + include('root') + ], + 'string': [ + (r'\\\(', String.Interpol, 'string-intp'), + (r'"', String, '#pop'), + (r"""\\['"\\nrt]|\\x[0-9a-fA-F]{2}|\\[0-7]{1,3}""" + r"""|\\u[0-9a-fA-F]{4}|\\U[0-9a-fA-F]{8}""", String.Escape), + (r'[^\\"]+', String), + (r'\\', String) + ], + 'string-intp': [ + (r'\(', String.Interpol, '#push'), + (r'\)', String.Interpol, '#pop'), + include('root') + ] + } + + def get_tokens_unprocessed(self, text): + from pygments.lexers._cocoa_builtins import COCOA_INTERFACES, \ + COCOA_PROTOCOLS, COCOA_PRIMITIVES + + for index, token, value in \ + RegexLexer.get_tokens_unprocessed(self, text): + if token is Name or token is Name.Class: + if value in COCOA_INTERFACES or value in COCOA_PROTOCOLS \ + or value in COCOA_PRIMITIVES: + token = Name.Builtin.Pseudo + + yield index, token, value diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ooc.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ooc.py new file mode 100644 index 0000000000000000000000000000000000000000..957b72f168a56f2c63b58000ac13442dcb95c4bf --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ooc.py @@ -0,0 +1,85 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.ooc + ~~~~~~~~~~~~~~~~~~~ + + Lexers for the Ooc language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, bygroups, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation + +__all__ = ['OocLexer'] + + +class OocLexer(RegexLexer): + """ + For `Ooc `_ source code + + .. versionadded:: 1.2 + """ + name = 'Ooc' + aliases = ['ooc'] + filenames = ['*.ooc'] + mimetypes = ['text/x-ooc'] + + tokens = { + 'root': [ + (words(( + 'class', 'interface', 'implement', 'abstract', 'extends', 'from', + 'this', 'super', 'new', 'const', 'final', 'static', 'import', + 'use', 'extern', 'inline', 'proto', 'break', 'continue', + 'fallthrough', 'operator', 'if', 'else', 'for', 'while', 'do', + 'switch', 'case', 'as', 'in', 'version', 'return', 'true', + 'false', 'null'), prefix=r'\b', suffix=r'\b'), + Keyword), + (r'include\b', Keyword, 'include'), + (r'(cover)([ \t]+)(from)([ \t]+)(\w+[*@]?)', + bygroups(Keyword, Text, Keyword, Text, Name.Class)), + (r'(func)((?:[ \t]|\\\n)+)(~[a-z_]\w*)', + bygroups(Keyword, Text, Name.Function)), + (r'\bfunc\b', Keyword), + # Note: %= and ^= not listed on http://ooc-lang.org/syntax + (r'//.*', Comment), + (r'(?s)/\*.*?\*/', Comment.Multiline), + (r'(==?|\+=?|-[=>]?|\*=?|/=?|:=|!=?|%=?|\?|>{1,3}=?|<{1,3}=?|\.\.|' + r'&&?|\|\|?|\^=?)', Operator), + (r'(\.)([ \t]*)([a-z]\w*)', bygroups(Operator, Text, + Name.Function)), + (r'[A-Z][A-Z0-9_]+', Name.Constant), + (r'[A-Z]\w*([@*]|\[[ \t]*\])?', Name.Class), + + (r'([a-z]\w*(?:~[a-z]\w*)?)((?:[ \t]|\\\n)*)(?=\()', + bygroups(Name.Function, Text)), + (r'[a-z]\w*', Name.Variable), + + # : introduces types + (r'[:(){}\[\];,]', Punctuation), + + (r'0x[0-9a-fA-F]+', Number.Hex), + (r'0c[0-9]+', Number.Oct), + (r'0b[01]+', Number.Bin), + (r'[0-9_]\.[0-9_]*(?!\.)', Number.Float), + (r'[0-9_]+', Number.Decimal), + + (r'"(?:\\.|\\[0-7]{1,3}|\\x[a-fA-F0-9]{1,2}|[^\\"])*"', + String.Double), + (r"'(?:\\.|\\[0-9]{1,3}|\\x[a-fA-F0-9]{1,2}|[^\\\'\n])'", + String.Char), + (r'@', Punctuation), # pointer dereference + (r'\.', Punctuation), # imports or chain operator + + (r'\\[ \t\n]', Text), + (r'[ \t]+', Text), + ], + 'include': [ + (r'[\w/]+', Name), + (r',', Punctuation), + (r'[ \t]', Text), + (r'[;\n]', Text, '#pop'), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/other.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/other.py new file mode 100644 index 0000000000000000000000000000000000000000..bfce4c3c4281e142b25bc438f10dbcec610a6c45 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/other.py @@ -0,0 +1,41 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.other + ~~~~~~~~~~~~~~~~~~~~~ + + Just export lexer classes previously contained in this module. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexers.sql import SqlLexer, MySqlLexer, SqliteConsoleLexer +from pygments.lexers.shell import BashLexer, BashSessionLexer, BatchLexer, \ + TcshLexer +from pygments.lexers.robotframework import RobotFrameworkLexer +from pygments.lexers.testing import GherkinLexer +from pygments.lexers.esoteric import BrainfuckLexer, BefungeLexer, RedcodeLexer +from pygments.lexers.prolog import LogtalkLexer +from pygments.lexers.snobol import SnobolLexer +from pygments.lexers.rebol import RebolLexer +from pygments.lexers.configs import KconfigLexer, Cfengine3Lexer +from pygments.lexers.modeling import ModelicaLexer +from pygments.lexers.scripting import AppleScriptLexer, MOOCodeLexer, \ + HybrisLexer +from pygments.lexers.graphics import PostScriptLexer, GnuplotLexer, \ + AsymptoteLexer, PovrayLexer +from pygments.lexers.business import ABAPLexer, OpenEdgeLexer, \ + GoodDataCLLexer, MaqlLexer +from pygments.lexers.automation import AutoItLexer, AutohotkeyLexer +from pygments.lexers.dsls import ProtoBufLexer, BroLexer, PuppetLexer, \ + MscgenLexer, VGLLexer +from pygments.lexers.basic import CbmBasicV2Lexer +from pygments.lexers.pawn import SourcePawnLexer, PawnLexer +from pygments.lexers.ecl import ECLLexer +from pygments.lexers.urbi import UrbiscriptLexer +from pygments.lexers.smalltalk import SmalltalkLexer, NewspeakLexer +from pygments.lexers.installers import NSISLexer, RPMSpecLexer +from pygments.lexers.textedit import AwkLexer +from pygments.lexers.smv import NuSMVLexer + +__all__ = [] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/parasail.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/parasail.py new file mode 100644 index 0000000000000000000000000000000000000000..53088023d456f2a4a5c655e948ee42b4d094a604 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/parasail.py @@ -0,0 +1,79 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.parasail + ~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexer for ParaSail. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Literal + +__all__ = ['ParaSailLexer'] + + +class ParaSailLexer(RegexLexer): + """ + For `ParaSail `_ source code. + + .. versionadded:: 2.1 + """ + + name = 'ParaSail' + aliases = ['parasail'] + filenames = ['*.psi', '*.psl'] + mimetypes = ['text/x-parasail'] + + flags = re.MULTILINE + + tokens = { + 'root': [ + (r'[^\S\n]+', Text), + (r'//.*?\n', Comment.Single), + (r'\b(and|or|xor)=', Operator.Word), + (r'\b(and(\s+then)?|or(\s+else)?|xor|rem|mod|' + r'(is|not)\s+null)\b', + Operator.Word), + # Keywords + (r'\b(abs|abstract|all|block|class|concurrent|const|continue|' + r'each|end|exit|extends|exports|forward|func|global|implements|' + r'import|in|interface|is|lambda|locked|new|not|null|of|op|' + r'optional|private|queued|ref|return|reverse|separate|some|' + r'type|until|var|with|' + # Control flow + r'if|then|else|elsif|case|for|while|loop)\b', + Keyword.Reserved), + (r'(abstract\s+)?(interface|class|op|func|type)', + Keyword.Declaration), + # Literals + (r'"[^"]*"', String), + (r'\\[\'ntrf"0]', String.Escape), + (r'#[a-zA-Z]\w*', Literal), # Enumeration + include('numbers'), + (r"'[^']'", String.Char), + (r'[a-zA-Z]\w*', Name), + # Operators and Punctuation + (r'(<==|==>|<=>|\*\*=|<\|=|<<=|>>=|==|!=|=\?|<=|>=|' + r'\*\*|<<|>>|=>|:=|\+=|-=|\*=|\|=|\||/=|\+|-|\*|/|' + r'\.\.|<\.\.|\.\.<|<\.\.<)', + Operator), + (r'(<|>|\[|\]|\(|\)|\||:|;|,|.|\{|\}|->)', + Punctuation), + (r'\n+', Text), + ], + 'numbers': [ + (r'\d[0-9_]*#[0-9a-fA-F][0-9a-fA-F_]*#', Number.Hex), # any base + (r'0[xX][0-9a-fA-F][0-9a-fA-F_]*', Number.Hex), # C-like hex + (r'0[bB][01][01_]*', Number.Bin), # C-like bin + (r'\d[0-9_]*\.\d[0-9_]*[eE][+-]\d[0-9_]*', # float exp + Number.Float), + (r'\d[0-9_]*\.\d[0-9_]*', Number.Float), # float + (r'\d[0-9_]*', Number.Integer), # integer + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/parsers.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/parsers.py new file mode 100644 index 0000000000000000000000000000000000000000..1f3c9b4d9755b7387180a6bac1343a5369a9380b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/parsers.py @@ -0,0 +1,835 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.parsers + ~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for parser generators. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, DelegatingLexer, \ + include, bygroups, using +from pygments.token import Punctuation, Other, Text, Comment, Operator, \ + Keyword, Name, String, Number, Whitespace +from pygments.lexers.jvm import JavaLexer +from pygments.lexers.c_cpp import CLexer, CppLexer +from pygments.lexers.objective import ObjectiveCLexer +from pygments.lexers.d import DLexer +from pygments.lexers.dotnet import CSharpLexer +from pygments.lexers.ruby import RubyLexer +from pygments.lexers.python import PythonLexer +from pygments.lexers.perl import PerlLexer + +__all__ = ['RagelLexer', 'RagelEmbeddedLexer', 'RagelCLexer', 'RagelDLexer', + 'RagelCppLexer', 'RagelObjectiveCLexer', 'RagelRubyLexer', + 'RagelJavaLexer', 'AntlrLexer', 'AntlrPythonLexer', + 'AntlrPerlLexer', 'AntlrRubyLexer', 'AntlrCppLexer', + # 'AntlrCLexer', + 'AntlrCSharpLexer', 'AntlrObjectiveCLexer', + 'AntlrJavaLexer', 'AntlrActionScriptLexer', + 'TreetopLexer', 'EbnfLexer'] + + +class RagelLexer(RegexLexer): + """ + A pure `Ragel `_ lexer. Use this for + fragments of Ragel. For ``.rl`` files, use RagelEmbeddedLexer instead + (or one of the language-specific subclasses). + + .. versionadded:: 1.1 + """ + + name = 'Ragel' + aliases = ['ragel'] + filenames = [] + + tokens = { + 'whitespace': [ + (r'\s+', Whitespace) + ], + 'comments': [ + (r'\#.*$', Comment), + ], + 'keywords': [ + (r'(access|action|alphtype)\b', Keyword), + (r'(getkey|write|machine|include)\b', Keyword), + (r'(any|ascii|extend|alpha|digit|alnum|lower|upper)\b', Keyword), + (r'(xdigit|cntrl|graph|print|punct|space|zlen|empty)\b', Keyword) + ], + 'numbers': [ + (r'0x[0-9A-Fa-f]+', Number.Hex), + (r'[+-]?[0-9]+', Number.Integer), + ], + 'literals': [ + (r'"(\\\\|\\"|[^"])*"', String), # double quote string + (r"'(\\\\|\\'|[^'])*'", String), # single quote string + (r'\[(\\\\|\\\]|[^\]])*\]', String), # square bracket literals + (r'/(?!\*)(\\\\|\\/|[^/])*/', String.Regex), # regular expressions + ], + 'identifiers': [ + (r'[a-zA-Z_]\w*', Name.Variable), + ], + 'operators': [ + (r',', Operator), # Join + (r'\||&|--?', Operator), # Union, Intersection and Subtraction + (r'\.|<:|:>>?', Operator), # Concatention + (r':', Operator), # Label + (r'->', Operator), # Epsilon Transition + (r'(>|\$|%|<|@|<>)(/|eof\b)', Operator), # EOF Actions + (r'(>|\$|%|<|@|<>)(!|err\b)', Operator), # Global Error Actions + (r'(>|\$|%|<|@|<>)(\^|lerr\b)', Operator), # Local Error Actions + (r'(>|\$|%|<|@|<>)(~|to\b)', Operator), # To-State Actions + (r'(>|\$|%|<|@|<>)(\*|from\b)', Operator), # From-State Actions + (r'>|@|\$|%', Operator), # Transition Actions and Priorities + (r'\*|\?|\+|\{[0-9]*,[0-9]*\}', Operator), # Repetition + (r'!|\^', Operator), # Negation + (r'\(|\)', Operator), # Grouping + ], + 'root': [ + include('literals'), + include('whitespace'), + include('comments'), + include('keywords'), + include('numbers'), + include('identifiers'), + include('operators'), + (r'\{', Punctuation, 'host'), + (r'=', Operator), + (r';', Punctuation), + ], + 'host': [ + (r'(' + r'|'.join(( # keep host code in largest possible chunks + r'[^{}\'"/#]+', # exclude unsafe characters + r'[^\\]\\[{}]', # allow escaped { or } + + # strings and comments may safely contain unsafe characters + r'"(\\\\|\\"|[^"])*"', # double quote string + r"'(\\\\|\\'|[^'])*'", # single quote string + r'//.*$\n?', # single line comment + r'/\*(.|\n)*?\*/', # multi-line javadoc-style comment + r'\#.*$\n?', # ruby comment + + # regular expression: There's no reason for it to start + # with a * and this stops confusion with comments. + r'/(?!\*)(\\\\|\\/|[^/])*/', + + # / is safe now that we've handled regex and javadoc comments + r'/', + )) + r')+', Other), + + (r'\{', Punctuation, '#push'), + (r'\}', Punctuation, '#pop'), + ], + } + + +class RagelEmbeddedLexer(RegexLexer): + """ + A lexer for `Ragel`_ embedded in a host language file. + + This will only highlight Ragel statements. If you want host language + highlighting then call the language-specific Ragel lexer. + + .. versionadded:: 1.1 + """ + + name = 'Embedded Ragel' + aliases = ['ragel-em'] + filenames = ['*.rl'] + + tokens = { + 'root': [ + (r'(' + r'|'.join(( # keep host code in largest possible chunks + r'[^%\'"/#]+', # exclude unsafe characters + r'%(?=[^%]|$)', # a single % sign is okay, just not 2 of them + + # strings and comments may safely contain unsafe characters + r'"(\\\\|\\"|[^"])*"', # double quote string + r"'(\\\\|\\'|[^'])*'", # single quote string + r'/\*(.|\n)*?\*/', # multi-line javadoc-style comment + r'//.*$\n?', # single line comment + r'\#.*$\n?', # ruby/ragel comment + r'/(?!\*)(\\\\|\\/|[^/])*/', # regular expression + + # / is safe now that we've handled regex and javadoc comments + r'/', + )) + r')+', Other), + + # Single Line FSM. + # Please don't put a quoted newline in a single line FSM. + # That's just mean. It will break this. + (r'(%%)(?![{%])(.*)($|;)(\n?)', bygroups(Punctuation, + using(RagelLexer), + Punctuation, Text)), + + # Multi Line FSM. + (r'(%%%%|%%)\{', Punctuation, 'multi-line-fsm'), + ], + 'multi-line-fsm': [ + (r'(' + r'|'.join(( # keep ragel code in largest possible chunks. + r'(' + r'|'.join(( + r'[^}\'"\[/#]', # exclude unsafe characters + r'\}(?=[^%]|$)', # } is okay as long as it's not followed by % + r'\}%(?=[^%]|$)', # ...well, one %'s okay, just not two... + r'[^\\]\\[{}]', # ...and } is okay if it's escaped + + # allow / if it's preceded with one of these symbols + # (ragel EOF actions) + r'(>|\$|%|<|@|<>)/', + + # specifically allow regex followed immediately by * + # so it doesn't get mistaken for a comment + r'/(?!\*)(\\\\|\\/|[^/])*/\*', + + # allow / as long as it's not followed by another / or by a * + r'/(?=[^/*]|$)', + + # We want to match as many of these as we can in one block. + # Not sure if we need the + sign here, + # does it help performance? + )) + r')+', + + # strings and comments may safely contain unsafe characters + r'"(\\\\|\\"|[^"])*"', # double quote string + r"'(\\\\|\\'|[^'])*'", # single quote string + r"\[(\\\\|\\\]|[^\]])*\]", # square bracket literal + r'/\*(.|\n)*?\*/', # multi-line javadoc-style comment + r'//.*$\n?', # single line comment + r'\#.*$\n?', # ruby/ragel comment + )) + r')+', using(RagelLexer)), + + (r'\}%%', Punctuation, '#pop'), + ] + } + + def analyse_text(text): + return '@LANG: indep' in text + + +class RagelRubyLexer(DelegatingLexer): + """ + A lexer for `Ragel`_ in a Ruby host file. + + .. versionadded:: 1.1 + """ + + name = 'Ragel in Ruby Host' + aliases = ['ragel-ruby', 'ragel-rb'] + filenames = ['*.rl'] + + def __init__(self, **options): + super(RagelRubyLexer, self).__init__(RubyLexer, RagelEmbeddedLexer, + **options) + + def analyse_text(text): + return '@LANG: ruby' in text + + +class RagelCLexer(DelegatingLexer): + """ + A lexer for `Ragel`_ in a C host file. + + .. versionadded:: 1.1 + """ + + name = 'Ragel in C Host' + aliases = ['ragel-c'] + filenames = ['*.rl'] + + def __init__(self, **options): + super(RagelCLexer, self).__init__(CLexer, RagelEmbeddedLexer, + **options) + + def analyse_text(text): + return '@LANG: c' in text + + +class RagelDLexer(DelegatingLexer): + """ + A lexer for `Ragel`_ in a D host file. + + .. versionadded:: 1.1 + """ + + name = 'Ragel in D Host' + aliases = ['ragel-d'] + filenames = ['*.rl'] + + def __init__(self, **options): + super(RagelDLexer, self).__init__(DLexer, RagelEmbeddedLexer, **options) + + def analyse_text(text): + return '@LANG: d' in text + + +class RagelCppLexer(DelegatingLexer): + """ + A lexer for `Ragel`_ in a CPP host file. + + .. versionadded:: 1.1 + """ + + name = 'Ragel in CPP Host' + aliases = ['ragel-cpp'] + filenames = ['*.rl'] + + def __init__(self, **options): + super(RagelCppLexer, self).__init__(CppLexer, RagelEmbeddedLexer, **options) + + def analyse_text(text): + return '@LANG: c++' in text + + +class RagelObjectiveCLexer(DelegatingLexer): + """ + A lexer for `Ragel`_ in an Objective C host file. + + .. versionadded:: 1.1 + """ + + name = 'Ragel in Objective C Host' + aliases = ['ragel-objc'] + filenames = ['*.rl'] + + def __init__(self, **options): + super(RagelObjectiveCLexer, self).__init__(ObjectiveCLexer, + RagelEmbeddedLexer, + **options) + + def analyse_text(text): + return '@LANG: objc' in text + + +class RagelJavaLexer(DelegatingLexer): + """ + A lexer for `Ragel`_ in a Java host file. + + .. versionadded:: 1.1 + """ + + name = 'Ragel in Java Host' + aliases = ['ragel-java'] + filenames = ['*.rl'] + + def __init__(self, **options): + super(RagelJavaLexer, self).__init__(JavaLexer, RagelEmbeddedLexer, + **options) + + def analyse_text(text): + return '@LANG: java' in text + + +class AntlrLexer(RegexLexer): + """ + Generic `ANTLR`_ Lexer. + Should not be called directly, instead + use DelegatingLexer for your target language. + + .. versionadded:: 1.1 + + .. _ANTLR: http://www.antlr.org/ + """ + + name = 'ANTLR' + aliases = ['antlr'] + filenames = [] + + _id = r'[A-Za-z]\w*' + _TOKEN_REF = r'[A-Z]\w*' + _RULE_REF = r'[a-z]\w*' + _STRING_LITERAL = r'\'(?:\\\\|\\\'|[^\']*)\'' + _INT = r'[0-9]+' + + tokens = { + 'whitespace': [ + (r'\s+', Whitespace), + ], + 'comments': [ + (r'//.*$', Comment), + (r'/\*(.|\n)*?\*/', Comment), + ], + 'root': [ + include('whitespace'), + include('comments'), + + (r'(lexer|parser|tree)?(\s*)(grammar\b)(\s*)(' + _id + ')(;)', + bygroups(Keyword, Whitespace, Keyword, Whitespace, Name.Class, + Punctuation)), + # optionsSpec + (r'options\b', Keyword, 'options'), + # tokensSpec + (r'tokens\b', Keyword, 'tokens'), + # attrScope + (r'(scope)(\s*)(' + _id + ')(\s*)(\{)', + bygroups(Keyword, Whitespace, Name.Variable, Whitespace, + Punctuation), 'action'), + # exception + (r'(catch|finally)\b', Keyword, 'exception'), + # action + (r'(@' + _id + ')(\s*)(::)?(\s*)(' + _id + ')(\s*)(\{)', + bygroups(Name.Label, Whitespace, Punctuation, Whitespace, + Name.Label, Whitespace, Punctuation), 'action'), + # rule + (r'((?:protected|private|public|fragment)\b)?(\s*)(' + _id + ')(!)?', + bygroups(Keyword, Whitespace, Name.Label, Punctuation), + ('rule-alts', 'rule-prelims')), + ], + 'exception': [ + (r'\n', Whitespace, '#pop'), + (r'\s', Whitespace), + include('comments'), + + (r'\[', Punctuation, 'nested-arg-action'), + (r'\{', Punctuation, 'action'), + ], + 'rule-prelims': [ + include('whitespace'), + include('comments'), + + (r'returns\b', Keyword), + (r'\[', Punctuation, 'nested-arg-action'), + (r'\{', Punctuation, 'action'), + # throwsSpec + (r'(throws)(\s+)(' + _id + ')', + bygroups(Keyword, Whitespace, Name.Label)), + (r'(,)(\s*)(' + _id + ')', + bygroups(Punctuation, Whitespace, Name.Label)), # Additional throws + # optionsSpec + (r'options\b', Keyword, 'options'), + # ruleScopeSpec - scope followed by target language code or name of action + # TODO finish implementing other possibilities for scope + # L173 ANTLRv3.g from ANTLR book + (r'(scope)(\s+)(\{)', bygroups(Keyword, Whitespace, Punctuation), + 'action'), + (r'(scope)(\s+)(' + _id + ')(\s*)(;)', + bygroups(Keyword, Whitespace, Name.Label, Whitespace, Punctuation)), + # ruleAction + (r'(@' + _id + ')(\s*)(\{)', + bygroups(Name.Label, Whitespace, Punctuation), 'action'), + # finished prelims, go to rule alts! + (r':', Punctuation, '#pop') + ], + 'rule-alts': [ + include('whitespace'), + include('comments'), + + # These might need to go in a separate 'block' state triggered by ( + (r'options\b', Keyword, 'options'), + (r':', Punctuation), + + # literals + (r"'(\\\\|\\'|[^'])*'", String), + (r'"(\\\\|\\"|[^"])*"', String), + (r'<<([^>]|>[^>])>>', String), + # identifiers + # Tokens start with capital letter. + (r'\$?[A-Z_]\w*', Name.Constant), + # Rules start with small letter. + (r'\$?[a-z_]\w*', Name.Variable), + # operators + (r'(\+|\||->|=>|=|\(|\)|\.\.|\.|\?|\*|\^|!|\#|~)', Operator), + (r',', Punctuation), + (r'\[', Punctuation, 'nested-arg-action'), + (r'\{', Punctuation, 'action'), + (r';', Punctuation, '#pop') + ], + 'tokens': [ + include('whitespace'), + include('comments'), + (r'\{', Punctuation), + (r'(' + _TOKEN_REF + r')(\s*)(=)?(\s*)(' + _STRING_LITERAL + + ')?(\s*)(;)', + bygroups(Name.Label, Whitespace, Punctuation, Whitespace, + String, Whitespace, Punctuation)), + (r'\}', Punctuation, '#pop'), + ], + 'options': [ + include('whitespace'), + include('comments'), + (r'\{', Punctuation), + (r'(' + _id + r')(\s*)(=)(\s*)(' + + '|'.join((_id, _STRING_LITERAL, _INT, '\*')) + ')(\s*)(;)', + bygroups(Name.Variable, Whitespace, Punctuation, Whitespace, + Text, Whitespace, Punctuation)), + (r'\}', Punctuation, '#pop'), + ], + 'action': [ + (r'(' + r'|'.join(( # keep host code in largest possible chunks + r'[^${}\'"/\\]+', # exclude unsafe characters + + # strings and comments may safely contain unsafe characters + r'"(\\\\|\\"|[^"])*"', # double quote string + r"'(\\\\|\\'|[^'])*'", # single quote string + r'//.*$\n?', # single line comment + r'/\*(.|\n)*?\*/', # multi-line javadoc-style comment + + # regular expression: There's no reason for it to start + # with a * and this stops confusion with comments. + r'/(?!\*)(\\\\|\\/|[^/])*/', + + # backslashes are okay, as long as we are not backslashing a % + r'\\(?!%)', + + # Now that we've handled regex and javadoc comments + # it's safe to let / through. + r'/', + )) + r')+', Other), + (r'(\\)(%)', bygroups(Punctuation, Other)), + (r'(\$[a-zA-Z]+)(\.?)(text|value)?', + bygroups(Name.Variable, Punctuation, Name.Property)), + (r'\{', Punctuation, '#push'), + (r'\}', Punctuation, '#pop'), + ], + 'nested-arg-action': [ + (r'(' + r'|'.join(( # keep host code in largest possible chunks. + r'[^$\[\]\'"/]+', # exclude unsafe characters + + # strings and comments may safely contain unsafe characters + r'"(\\\\|\\"|[^"])*"', # double quote string + r"'(\\\\|\\'|[^'])*'", # single quote string + r'//.*$\n?', # single line comment + r'/\*(.|\n)*?\*/', # multi-line javadoc-style comment + + # regular expression: There's no reason for it to start + # with a * and this stops confusion with comments. + r'/(?!\*)(\\\\|\\/|[^/])*/', + + # Now that we've handled regex and javadoc comments + # it's safe to let / through. + r'/', + )) + r')+', Other), + + + (r'\[', Punctuation, '#push'), + (r'\]', Punctuation, '#pop'), + (r'(\$[a-zA-Z]+)(\.?)(text|value)?', + bygroups(Name.Variable, Punctuation, Name.Property)), + (r'(\\\\|\\\]|\\\[|[^\[\]])+', Other), + ] + } + + def analyse_text(text): + return re.search(r'^\s*grammar\s+[a-zA-Z0-9]+\s*;', text, re.M) + +# http://www.antlr.org/wiki/display/ANTLR3/Code+Generation+Targets + +# TH: I'm not aware of any language features of C++ that will cause +# incorrect lexing of C files. Antlr doesn't appear to make a distinction, +# so just assume they're C++. No idea how to make Objective C work in the +# future. + +# class AntlrCLexer(DelegatingLexer): +# """ +# ANTLR with C Target +# +# .. versionadded:: 1.1 +# """ +# +# name = 'ANTLR With C Target' +# aliases = ['antlr-c'] +# filenames = ['*.G', '*.g'] +# +# def __init__(self, **options): +# super(AntlrCLexer, self).__init__(CLexer, AntlrLexer, **options) +# +# def analyse_text(text): +# return re.match(r'^\s*language\s*=\s*C\s*;', text) + + +class AntlrCppLexer(DelegatingLexer): + """ + `ANTLR`_ with CPP Target + + .. versionadded:: 1.1 + """ + + name = 'ANTLR With CPP Target' + aliases = ['antlr-cpp'] + filenames = ['*.G', '*.g'] + + def __init__(self, **options): + super(AntlrCppLexer, self).__init__(CppLexer, AntlrLexer, **options) + + def analyse_text(text): + return AntlrLexer.analyse_text(text) and \ + re.search(r'^\s*language\s*=\s*C\s*;', text, re.M) + + +class AntlrObjectiveCLexer(DelegatingLexer): + """ + `ANTLR`_ with Objective-C Target + + .. versionadded:: 1.1 + """ + + name = 'ANTLR With ObjectiveC Target' + aliases = ['antlr-objc'] + filenames = ['*.G', '*.g'] + + def __init__(self, **options): + super(AntlrObjectiveCLexer, self).__init__(ObjectiveCLexer, + AntlrLexer, **options) + + def analyse_text(text): + return AntlrLexer.analyse_text(text) and \ + re.search(r'^\s*language\s*=\s*ObjC\s*;', text) + + +class AntlrCSharpLexer(DelegatingLexer): + """ + `ANTLR`_ with C# Target + + .. versionadded:: 1.1 + """ + + name = 'ANTLR With C# Target' + aliases = ['antlr-csharp', 'antlr-c#'] + filenames = ['*.G', '*.g'] + + def __init__(self, **options): + super(AntlrCSharpLexer, self).__init__(CSharpLexer, AntlrLexer, + **options) + + def analyse_text(text): + return AntlrLexer.analyse_text(text) and \ + re.search(r'^\s*language\s*=\s*CSharp2\s*;', text, re.M) + + +class AntlrPythonLexer(DelegatingLexer): + """ + `ANTLR`_ with Python Target + + .. versionadded:: 1.1 + """ + + name = 'ANTLR With Python Target' + aliases = ['antlr-python'] + filenames = ['*.G', '*.g'] + + def __init__(self, **options): + super(AntlrPythonLexer, self).__init__(PythonLexer, AntlrLexer, + **options) + + def analyse_text(text): + return AntlrLexer.analyse_text(text) and \ + re.search(r'^\s*language\s*=\s*Python\s*;', text, re.M) + + +class AntlrJavaLexer(DelegatingLexer): + """ + `ANTLR`_ with Java Target + + .. versionadded:: 1. + """ + + name = 'ANTLR With Java Target' + aliases = ['antlr-java'] + filenames = ['*.G', '*.g'] + + def __init__(self, **options): + super(AntlrJavaLexer, self).__init__(JavaLexer, AntlrLexer, + **options) + + def analyse_text(text): + # Antlr language is Java by default + return AntlrLexer.analyse_text(text) and 0.9 + + +class AntlrRubyLexer(DelegatingLexer): + """ + `ANTLR`_ with Ruby Target + + .. versionadded:: 1.1 + """ + + name = 'ANTLR With Ruby Target' + aliases = ['antlr-ruby', 'antlr-rb'] + filenames = ['*.G', '*.g'] + + def __init__(self, **options): + super(AntlrRubyLexer, self).__init__(RubyLexer, AntlrLexer, + **options) + + def analyse_text(text): + return AntlrLexer.analyse_text(text) and \ + re.search(r'^\s*language\s*=\s*Ruby\s*;', text, re.M) + + +class AntlrPerlLexer(DelegatingLexer): + """ + `ANTLR`_ with Perl Target + + .. versionadded:: 1.1 + """ + + name = 'ANTLR With Perl Target' + aliases = ['antlr-perl'] + filenames = ['*.G', '*.g'] + + def __init__(self, **options): + super(AntlrPerlLexer, self).__init__(PerlLexer, AntlrLexer, + **options) + + def analyse_text(text): + return AntlrLexer.analyse_text(text) and \ + re.search(r'^\s*language\s*=\s*Perl5\s*;', text, re.M) + + +class AntlrActionScriptLexer(DelegatingLexer): + """ + `ANTLR`_ with ActionScript Target + + .. versionadded:: 1.1 + """ + + name = 'ANTLR With ActionScript Target' + aliases = ['antlr-as', 'antlr-actionscript'] + filenames = ['*.G', '*.g'] + + def __init__(self, **options): + from pygments.lexers.actionscript import ActionScriptLexer + super(AntlrActionScriptLexer, self).__init__(ActionScriptLexer, + AntlrLexer, **options) + + def analyse_text(text): + return AntlrLexer.analyse_text(text) and \ + re.search(r'^\s*language\s*=\s*ActionScript\s*;', text, re.M) + + +class TreetopBaseLexer(RegexLexer): + """ + A base lexer for `Treetop `_ grammars. + Not for direct use; use TreetopLexer instead. + + .. versionadded:: 1.6 + """ + + tokens = { + 'root': [ + include('space'), + (r'require[ \t]+[^\n\r]+[\n\r]', Other), + (r'module\b', Keyword.Namespace, 'module'), + (r'grammar\b', Keyword, 'grammar'), + ], + 'module': [ + include('space'), + include('end'), + (r'module\b', Keyword, '#push'), + (r'grammar\b', Keyword, 'grammar'), + (r'[A-Z]\w*(?:::[A-Z]\w*)*', Name.Namespace), + ], + 'grammar': [ + include('space'), + include('end'), + (r'rule\b', Keyword, 'rule'), + (r'include\b', Keyword, 'include'), + (r'[A-Z]\w*', Name), + ], + 'include': [ + include('space'), + (r'[A-Z]\w*(?:::[A-Z]\w*)*', Name.Class, '#pop'), + ], + 'rule': [ + include('space'), + include('end'), + (r'"(\\\\|\\"|[^"])*"', String.Double), + (r"'(\\\\|\\'|[^'])*'", String.Single), + (r'([A-Za-z_]\w*)(:)', bygroups(Name.Label, Punctuation)), + (r'[A-Za-z_]\w*', Name), + (r'[()]', Punctuation), + (r'[?+*/&!~]', Operator), + (r'\[(?:\\.|\[:\^?[a-z]+:\]|[^\\\]])+\]', String.Regex), + (r'([0-9]*)(\.\.)([0-9]*)', + bygroups(Number.Integer, Operator, Number.Integer)), + (r'(<)([^>]+)(>)', bygroups(Punctuation, Name.Class, Punctuation)), + (r'\{', Punctuation, 'inline_module'), + (r'\.', String.Regex), + ], + 'inline_module': [ + (r'\{', Other, 'ruby'), + (r'\}', Punctuation, '#pop'), + (r'[^{}]+', Other), + ], + 'ruby': [ + (r'\{', Other, '#push'), + (r'\}', Other, '#pop'), + (r'[^{}]+', Other), + ], + 'space': [ + (r'[ \t\n\r]+', Whitespace), + (r'#[^\n]*', Comment.Single), + ], + 'end': [ + (r'end\b', Keyword, '#pop'), + ], + } + + +class TreetopLexer(DelegatingLexer): + """ + A lexer for `Treetop `_ grammars. + + .. versionadded:: 1.6 + """ + + name = 'Treetop' + aliases = ['treetop'] + filenames = ['*.treetop', '*.tt'] + + def __init__(self, **options): + super(TreetopLexer, self).__init__(RubyLexer, TreetopBaseLexer, **options) + + +class EbnfLexer(RegexLexer): + """ + Lexer for `ISO/IEC 14977 EBNF + `_ + grammars. + + .. versionadded:: 2.0 + """ + + name = 'EBNF' + aliases = ['ebnf'] + filenames = ['*.ebnf'] + mimetypes = ['text/x-ebnf'] + + tokens = { + 'root': [ + include('whitespace'), + include('comment_start'), + include('identifier'), + (r'=', Operator, 'production'), + ], + 'production': [ + include('whitespace'), + include('comment_start'), + include('identifier'), + (r'"[^"]*"', String.Double), + (r"'[^']*'", String.Single), + (r'(\?[^?]*\?)', Name.Entity), + (r'[\[\]{}(),|]', Punctuation), + (r'-', Operator), + (r';', Punctuation, '#pop'), + (r'\.', Punctuation, '#pop'), + ], + 'whitespace': [ + (r'\s+', Text), + ], + 'comment_start': [ + (r'\(\*', Comment.Multiline, 'comment'), + ], + 'comment': [ + (r'[^*)]', Comment.Multiline), + include('comment_start'), + (r'\*\)', Comment.Multiline, '#pop'), + (r'[*)]', Comment.Multiline), + ], + 'identifier': [ + (r'([a-zA-Z][\w \-]*)', Keyword), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/pascal.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/pascal.py new file mode 100644 index 0000000000000000000000000000000000000000..9aa1ac8f8833c60416e1fa6fb6f8711b6d92aca0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/pascal.py @@ -0,0 +1,644 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.pascal + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Pascal family languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, include, bygroups, words, \ + using, this, default +from pygments.util import get_bool_opt, get_list_opt +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Error +from pygments.scanner import Scanner + +# compatibility import +from pygments.lexers.modula2 import Modula2Lexer + +__all__ = ['DelphiLexer', 'AdaLexer'] + + +class DelphiLexer(Lexer): + """ + For `Delphi `_ (Borland Object Pascal), + Turbo Pascal and Free Pascal source code. + + Additional options accepted: + + `turbopascal` + Highlight Turbo Pascal specific keywords (default: ``True``). + `delphi` + Highlight Borland Delphi specific keywords (default: ``True``). + `freepascal` + Highlight Free Pascal specific keywords (default: ``True``). + `units` + A list of units that should be considered builtin, supported are + ``System``, ``SysUtils``, ``Classes`` and ``Math``. + Default is to consider all of them builtin. + """ + name = 'Delphi' + aliases = ['delphi', 'pas', 'pascal', 'objectpascal'] + filenames = ['*.pas', '*.dpr'] + mimetypes = ['text/x-pascal'] + + TURBO_PASCAL_KEYWORDS = ( + 'absolute', 'and', 'array', 'asm', 'begin', 'break', 'case', + 'const', 'constructor', 'continue', 'destructor', 'div', 'do', + 'downto', 'else', 'end', 'file', 'for', 'function', 'goto', + 'if', 'implementation', 'in', 'inherited', 'inline', 'interface', + 'label', 'mod', 'nil', 'not', 'object', 'of', 'on', 'operator', + 'or', 'packed', 'procedure', 'program', 'record', 'reintroduce', + 'repeat', 'self', 'set', 'shl', 'shr', 'string', 'then', 'to', + 'type', 'unit', 'until', 'uses', 'var', 'while', 'with', 'xor' + ) + + DELPHI_KEYWORDS = ( + 'as', 'class', 'except', 'exports', 'finalization', 'finally', + 'initialization', 'is', 'library', 'on', 'property', 'raise', + 'threadvar', 'try' + ) + + FREE_PASCAL_KEYWORDS = ( + 'dispose', 'exit', 'false', 'new', 'true' + ) + + BLOCK_KEYWORDS = set(( + 'begin', 'class', 'const', 'constructor', 'destructor', 'end', + 'finalization', 'function', 'implementation', 'initialization', + 'label', 'library', 'operator', 'procedure', 'program', 'property', + 'record', 'threadvar', 'type', 'unit', 'uses', 'var' + )) + + FUNCTION_MODIFIERS = set(( + 'alias', 'cdecl', 'export', 'inline', 'interrupt', 'nostackframe', + 'pascal', 'register', 'safecall', 'softfloat', 'stdcall', + 'varargs', 'name', 'dynamic', 'near', 'virtual', 'external', + 'override', 'assembler' + )) + + # XXX: those aren't global. but currently we know no way for defining + # them just for the type context. + DIRECTIVES = set(( + 'absolute', 'abstract', 'assembler', 'cppdecl', 'default', 'far', + 'far16', 'forward', 'index', 'oldfpccall', 'private', 'protected', + 'published', 'public' + )) + + BUILTIN_TYPES = set(( + 'ansichar', 'ansistring', 'bool', 'boolean', 'byte', 'bytebool', + 'cardinal', 'char', 'comp', 'currency', 'double', 'dword', + 'extended', 'int64', 'integer', 'iunknown', 'longbool', 'longint', + 'longword', 'pansichar', 'pansistring', 'pbool', 'pboolean', + 'pbyte', 'pbytearray', 'pcardinal', 'pchar', 'pcomp', 'pcurrency', + 'pdate', 'pdatetime', 'pdouble', 'pdword', 'pextended', 'phandle', + 'pint64', 'pinteger', 'plongint', 'plongword', 'pointer', + 'ppointer', 'pshortint', 'pshortstring', 'psingle', 'psmallint', + 'pstring', 'pvariant', 'pwidechar', 'pwidestring', 'pword', + 'pwordarray', 'pwordbool', 'real', 'real48', 'shortint', + 'shortstring', 'single', 'smallint', 'string', 'tclass', 'tdate', + 'tdatetime', 'textfile', 'thandle', 'tobject', 'ttime', 'variant', + 'widechar', 'widestring', 'word', 'wordbool' + )) + + BUILTIN_UNITS = { + 'System': ( + 'abs', 'acquireexceptionobject', 'addr', 'ansitoutf8', + 'append', 'arctan', 'assert', 'assigned', 'assignfile', + 'beginthread', 'blockread', 'blockwrite', 'break', 'chdir', + 'chr', 'close', 'closefile', 'comptocurrency', 'comptodouble', + 'concat', 'continue', 'copy', 'cos', 'dec', 'delete', + 'dispose', 'doubletocomp', 'endthread', 'enummodules', + 'enumresourcemodules', 'eof', 'eoln', 'erase', 'exceptaddr', + 'exceptobject', 'exclude', 'exit', 'exp', 'filepos', 'filesize', + 'fillchar', 'finalize', 'findclasshinstance', 'findhinstance', + 'findresourcehinstance', 'flush', 'frac', 'freemem', + 'get8087cw', 'getdir', 'getlasterror', 'getmem', + 'getmemorymanager', 'getmodulefilename', 'getvariantmanager', + 'halt', 'hi', 'high', 'inc', 'include', 'initialize', 'insert', + 'int', 'ioresult', 'ismemorymanagerset', 'isvariantmanagerset', + 'length', 'ln', 'lo', 'low', 'mkdir', 'move', 'new', 'odd', + 'olestrtostring', 'olestrtostrvar', 'ord', 'paramcount', + 'paramstr', 'pi', 'pos', 'pred', 'ptr', 'pucs4chars', 'random', + 'randomize', 'read', 'readln', 'reallocmem', + 'releaseexceptionobject', 'rename', 'reset', 'rewrite', 'rmdir', + 'round', 'runerror', 'seek', 'seekeof', 'seekeoln', + 'set8087cw', 'setlength', 'setlinebreakstyle', + 'setmemorymanager', 'setstring', 'settextbuf', + 'setvariantmanager', 'sin', 'sizeof', 'slice', 'sqr', 'sqrt', + 'str', 'stringofchar', 'stringtoolestr', 'stringtowidechar', + 'succ', 'swap', 'trunc', 'truncate', 'typeinfo', + 'ucs4stringtowidestring', 'unicodetoutf8', 'uniquestring', + 'upcase', 'utf8decode', 'utf8encode', 'utf8toansi', + 'utf8tounicode', 'val', 'vararrayredim', 'varclear', + 'widecharlentostring', 'widecharlentostrvar', + 'widechartostring', 'widechartostrvar', + 'widestringtoucs4string', 'write', 'writeln' + ), + 'SysUtils': ( + 'abort', 'addexitproc', 'addterminateproc', 'adjustlinebreaks', + 'allocmem', 'ansicomparefilename', 'ansicomparestr', + 'ansicomparetext', 'ansidequotedstr', 'ansiextractquotedstr', + 'ansilastchar', 'ansilowercase', 'ansilowercasefilename', + 'ansipos', 'ansiquotedstr', 'ansisamestr', 'ansisametext', + 'ansistrcomp', 'ansistricomp', 'ansistrlastchar', 'ansistrlcomp', + 'ansistrlicomp', 'ansistrlower', 'ansistrpos', 'ansistrrscan', + 'ansistrscan', 'ansistrupper', 'ansiuppercase', + 'ansiuppercasefilename', 'appendstr', 'assignstr', 'beep', + 'booltostr', 'bytetocharindex', 'bytetocharlen', 'bytetype', + 'callterminateprocs', 'changefileext', 'charlength', + 'chartobyteindex', 'chartobytelen', 'comparemem', 'comparestr', + 'comparetext', 'createdir', 'createguid', 'currentyear', + 'currtostr', 'currtostrf', 'date', 'datetimetofiledate', + 'datetimetostr', 'datetimetostring', 'datetimetosystemtime', + 'datetimetotimestamp', 'datetostr', 'dayofweek', 'decodedate', + 'decodedatefully', 'decodetime', 'deletefile', 'directoryexists', + 'diskfree', 'disksize', 'disposestr', 'encodedate', 'encodetime', + 'exceptionerrormessage', 'excludetrailingbackslash', + 'excludetrailingpathdelimiter', 'expandfilename', + 'expandfilenamecase', 'expanduncfilename', 'extractfiledir', + 'extractfiledrive', 'extractfileext', 'extractfilename', + 'extractfilepath', 'extractrelativepath', 'extractshortpathname', + 'fileage', 'fileclose', 'filecreate', 'filedatetodatetime', + 'fileexists', 'filegetattr', 'filegetdate', 'fileisreadonly', + 'fileopen', 'fileread', 'filesearch', 'fileseek', 'filesetattr', + 'filesetdate', 'filesetreadonly', 'filewrite', 'finalizepackage', + 'findclose', 'findcmdlineswitch', 'findfirst', 'findnext', + 'floattocurr', 'floattodatetime', 'floattodecimal', 'floattostr', + 'floattostrf', 'floattotext', 'floattotextfmt', 'fmtloadstr', + 'fmtstr', 'forcedirectories', 'format', 'formatbuf', 'formatcurr', + 'formatdatetime', 'formatfloat', 'freeandnil', 'getcurrentdir', + 'getenvironmentvariable', 'getfileversion', 'getformatsettings', + 'getlocaleformatsettings', 'getmodulename', 'getpackagedescription', + 'getpackageinfo', 'gettime', 'guidtostring', 'incamonth', + 'includetrailingbackslash', 'includetrailingpathdelimiter', + 'incmonth', 'initializepackage', 'interlockeddecrement', + 'interlockedexchange', 'interlockedexchangeadd', + 'interlockedincrement', 'inttohex', 'inttostr', 'isdelimiter', + 'isequalguid', 'isleapyear', 'ispathdelimiter', 'isvalidident', + 'languages', 'lastdelimiter', 'loadpackage', 'loadstr', + 'lowercase', 'msecstotimestamp', 'newstr', 'nextcharindex', 'now', + 'outofmemoryerror', 'quotedstr', 'raiselastoserror', + 'raiselastwin32error', 'removedir', 'renamefile', 'replacedate', + 'replacetime', 'safeloadlibrary', 'samefilename', 'sametext', + 'setcurrentdir', 'showexception', 'sleep', 'stralloc', 'strbufsize', + 'strbytetype', 'strcat', 'strcharlength', 'strcomp', 'strcopy', + 'strdispose', 'strecopy', 'strend', 'strfmt', 'stricomp', + 'stringreplace', 'stringtoguid', 'strlcat', 'strlcomp', 'strlcopy', + 'strlen', 'strlfmt', 'strlicomp', 'strlower', 'strmove', 'strnew', + 'strnextchar', 'strpas', 'strpcopy', 'strplcopy', 'strpos', + 'strrscan', 'strscan', 'strtobool', 'strtobooldef', 'strtocurr', + 'strtocurrdef', 'strtodate', 'strtodatedef', 'strtodatetime', + 'strtodatetimedef', 'strtofloat', 'strtofloatdef', 'strtoint', + 'strtoint64', 'strtoint64def', 'strtointdef', 'strtotime', + 'strtotimedef', 'strupper', 'supports', 'syserrormessage', + 'systemtimetodatetime', 'texttofloat', 'time', 'timestamptodatetime', + 'timestamptomsecs', 'timetostr', 'trim', 'trimleft', 'trimright', + 'tryencodedate', 'tryencodetime', 'tryfloattocurr', 'tryfloattodatetime', + 'trystrtobool', 'trystrtocurr', 'trystrtodate', 'trystrtodatetime', + 'trystrtofloat', 'trystrtoint', 'trystrtoint64', 'trystrtotime', + 'unloadpackage', 'uppercase', 'widecomparestr', 'widecomparetext', + 'widefmtstr', 'wideformat', 'wideformatbuf', 'widelowercase', + 'widesamestr', 'widesametext', 'wideuppercase', 'win32check', + 'wraptext' + ), + 'Classes': ( + 'activateclassgroup', 'allocatehwnd', 'bintohex', 'checksynchronize', + 'collectionsequal', 'countgenerations', 'deallocatehwnd', 'equalrect', + 'extractstrings', 'findclass', 'findglobalcomponent', 'getclass', + 'groupdescendantswith', 'hextobin', 'identtoint', + 'initinheritedcomponent', 'inttoident', 'invalidpoint', + 'isuniqueglobalcomponentname', 'linestart', 'objectbinarytotext', + 'objectresourcetotext', 'objecttexttobinary', 'objecttexttoresource', + 'pointsequal', 'readcomponentres', 'readcomponentresex', + 'readcomponentresfile', 'rect', 'registerclass', 'registerclassalias', + 'registerclasses', 'registercomponents', 'registerintegerconsts', + 'registernoicon', 'registernonactivex', 'smallpoint', 'startclassgroup', + 'teststreamformat', 'unregisterclass', 'unregisterclasses', + 'unregisterintegerconsts', 'unregistermoduleclasses', + 'writecomponentresfile' + ), + 'Math': ( + 'arccos', 'arccosh', 'arccot', 'arccoth', 'arccsc', 'arccsch', 'arcsec', + 'arcsech', 'arcsin', 'arcsinh', 'arctan2', 'arctanh', 'ceil', + 'comparevalue', 'cosecant', 'cosh', 'cot', 'cotan', 'coth', 'csc', + 'csch', 'cycletodeg', 'cycletograd', 'cycletorad', 'degtocycle', + 'degtograd', 'degtorad', 'divmod', 'doubledecliningbalance', + 'ensurerange', 'floor', 'frexp', 'futurevalue', 'getexceptionmask', + 'getprecisionmode', 'getroundmode', 'gradtocycle', 'gradtodeg', + 'gradtorad', 'hypot', 'inrange', 'interestpayment', 'interestrate', + 'internalrateofreturn', 'intpower', 'isinfinite', 'isnan', 'iszero', + 'ldexp', 'lnxp1', 'log10', 'log2', 'logn', 'max', 'maxintvalue', + 'maxvalue', 'mean', 'meanandstddev', 'min', 'minintvalue', 'minvalue', + 'momentskewkurtosis', 'netpresentvalue', 'norm', 'numberofperiods', + 'payment', 'periodpayment', 'poly', 'popnstddev', 'popnvariance', + 'power', 'presentvalue', 'radtocycle', 'radtodeg', 'radtograd', + 'randg', 'randomrange', 'roundto', 'samevalue', 'sec', 'secant', + 'sech', 'setexceptionmask', 'setprecisionmode', 'setroundmode', + 'sign', 'simpleroundto', 'sincos', 'sinh', 'slndepreciation', 'stddev', + 'sum', 'sumint', 'sumofsquares', 'sumsandsquares', 'syddepreciation', + 'tan', 'tanh', 'totalvariance', 'variance' + ) + } + + ASM_REGISTERS = set(( + 'ah', 'al', 'ax', 'bh', 'bl', 'bp', 'bx', 'ch', 'cl', 'cr0', + 'cr1', 'cr2', 'cr3', 'cr4', 'cs', 'cx', 'dh', 'di', 'dl', 'dr0', + 'dr1', 'dr2', 'dr3', 'dr4', 'dr5', 'dr6', 'dr7', 'ds', 'dx', + 'eax', 'ebp', 'ebx', 'ecx', 'edi', 'edx', 'es', 'esi', 'esp', + 'fs', 'gs', 'mm0', 'mm1', 'mm2', 'mm3', 'mm4', 'mm5', 'mm6', + 'mm7', 'si', 'sp', 'ss', 'st0', 'st1', 'st2', 'st3', 'st4', 'st5', + 'st6', 'st7', 'xmm0', 'xmm1', 'xmm2', 'xmm3', 'xmm4', 'xmm5', + 'xmm6', 'xmm7' + )) + + ASM_INSTRUCTIONS = set(( + 'aaa', 'aad', 'aam', 'aas', 'adc', 'add', 'and', 'arpl', 'bound', + 'bsf', 'bsr', 'bswap', 'bt', 'btc', 'btr', 'bts', 'call', 'cbw', + 'cdq', 'clc', 'cld', 'cli', 'clts', 'cmc', 'cmova', 'cmovae', + 'cmovb', 'cmovbe', 'cmovc', 'cmovcxz', 'cmove', 'cmovg', + 'cmovge', 'cmovl', 'cmovle', 'cmovna', 'cmovnae', 'cmovnb', + 'cmovnbe', 'cmovnc', 'cmovne', 'cmovng', 'cmovnge', 'cmovnl', + 'cmovnle', 'cmovno', 'cmovnp', 'cmovns', 'cmovnz', 'cmovo', + 'cmovp', 'cmovpe', 'cmovpo', 'cmovs', 'cmovz', 'cmp', 'cmpsb', + 'cmpsd', 'cmpsw', 'cmpxchg', 'cmpxchg486', 'cmpxchg8b', 'cpuid', + 'cwd', 'cwde', 'daa', 'das', 'dec', 'div', 'emms', 'enter', 'hlt', + 'ibts', 'icebp', 'idiv', 'imul', 'in', 'inc', 'insb', 'insd', + 'insw', 'int', 'int01', 'int03', 'int1', 'int3', 'into', 'invd', + 'invlpg', 'iret', 'iretd', 'iretw', 'ja', 'jae', 'jb', 'jbe', + 'jc', 'jcxz', 'jcxz', 'je', 'jecxz', 'jg', 'jge', 'jl', 'jle', + 'jmp', 'jna', 'jnae', 'jnb', 'jnbe', 'jnc', 'jne', 'jng', 'jnge', + 'jnl', 'jnle', 'jno', 'jnp', 'jns', 'jnz', 'jo', 'jp', 'jpe', + 'jpo', 'js', 'jz', 'lahf', 'lar', 'lcall', 'lds', 'lea', 'leave', + 'les', 'lfs', 'lgdt', 'lgs', 'lidt', 'ljmp', 'lldt', 'lmsw', + 'loadall', 'loadall286', 'lock', 'lodsb', 'lodsd', 'lodsw', + 'loop', 'loope', 'loopne', 'loopnz', 'loopz', 'lsl', 'lss', 'ltr', + 'mov', 'movd', 'movq', 'movsb', 'movsd', 'movsw', 'movsx', + 'movzx', 'mul', 'neg', 'nop', 'not', 'or', 'out', 'outsb', 'outsd', + 'outsw', 'pop', 'popa', 'popad', 'popaw', 'popf', 'popfd', 'popfw', + 'push', 'pusha', 'pushad', 'pushaw', 'pushf', 'pushfd', 'pushfw', + 'rcl', 'rcr', 'rdmsr', 'rdpmc', 'rdshr', 'rdtsc', 'rep', 'repe', + 'repne', 'repnz', 'repz', 'ret', 'retf', 'retn', 'rol', 'ror', + 'rsdc', 'rsldt', 'rsm', 'sahf', 'sal', 'salc', 'sar', 'sbb', + 'scasb', 'scasd', 'scasw', 'seta', 'setae', 'setb', 'setbe', + 'setc', 'setcxz', 'sete', 'setg', 'setge', 'setl', 'setle', + 'setna', 'setnae', 'setnb', 'setnbe', 'setnc', 'setne', 'setng', + 'setnge', 'setnl', 'setnle', 'setno', 'setnp', 'setns', 'setnz', + 'seto', 'setp', 'setpe', 'setpo', 'sets', 'setz', 'sgdt', 'shl', + 'shld', 'shr', 'shrd', 'sidt', 'sldt', 'smi', 'smint', 'smintold', + 'smsw', 'stc', 'std', 'sti', 'stosb', 'stosd', 'stosw', 'str', + 'sub', 'svdc', 'svldt', 'svts', 'syscall', 'sysenter', 'sysexit', + 'sysret', 'test', 'ud1', 'ud2', 'umov', 'verr', 'verw', 'wait', + 'wbinvd', 'wrmsr', 'wrshr', 'xadd', 'xbts', 'xchg', 'xlat', + 'xlatb', 'xor' + )) + + def __init__(self, **options): + Lexer.__init__(self, **options) + self.keywords = set() + if get_bool_opt(options, 'turbopascal', True): + self.keywords.update(self.TURBO_PASCAL_KEYWORDS) + if get_bool_opt(options, 'delphi', True): + self.keywords.update(self.DELPHI_KEYWORDS) + if get_bool_opt(options, 'freepascal', True): + self.keywords.update(self.FREE_PASCAL_KEYWORDS) + self.builtins = set() + for unit in get_list_opt(options, 'units', list(self.BUILTIN_UNITS)): + self.builtins.update(self.BUILTIN_UNITS[unit]) + + def get_tokens_unprocessed(self, text): + scanner = Scanner(text, re.DOTALL | re.MULTILINE | re.IGNORECASE) + stack = ['initial'] + in_function_block = False + in_property_block = False + was_dot = False + next_token_is_function = False + next_token_is_property = False + collect_labels = False + block_labels = set() + brace_balance = [0, 0] + + while not scanner.eos: + token = Error + + if stack[-1] == 'initial': + if scanner.scan(r'\s+'): + token = Text + elif scanner.scan(r'\{.*?\}|\(\*.*?\*\)'): + if scanner.match.startswith('$'): + token = Comment.Preproc + else: + token = Comment.Multiline + elif scanner.scan(r'//.*?$'): + token = Comment.Single + elif scanner.scan(r'[-+*\/=<>:;,.@\^]'): + token = Operator + # stop label highlighting on next ";" + if collect_labels and scanner.match == ';': + collect_labels = False + elif scanner.scan(r'[\(\)\[\]]+'): + token = Punctuation + # abort function naming ``foo = Function(...)`` + next_token_is_function = False + # if we are in a function block we count the open + # braces because ootherwise it's impossible to + # determine the end of the modifier context + if in_function_block or in_property_block: + if scanner.match == '(': + brace_balance[0] += 1 + elif scanner.match == ')': + brace_balance[0] -= 1 + elif scanner.match == '[': + brace_balance[1] += 1 + elif scanner.match == ']': + brace_balance[1] -= 1 + elif scanner.scan(r'[A-Za-z_][A-Za-z_0-9]*'): + lowercase_name = scanner.match.lower() + if lowercase_name == 'result': + token = Name.Builtin.Pseudo + elif lowercase_name in self.keywords: + token = Keyword + # if we are in a special block and a + # block ending keyword occours (and the parenthesis + # is balanced) we end the current block context + if (in_function_block or in_property_block) and \ + lowercase_name in self.BLOCK_KEYWORDS and \ + brace_balance[0] <= 0 and \ + brace_balance[1] <= 0: + in_function_block = False + in_property_block = False + brace_balance = [0, 0] + block_labels = set() + if lowercase_name in ('label', 'goto'): + collect_labels = True + elif lowercase_name == 'asm': + stack.append('asm') + elif lowercase_name == 'property': + in_property_block = True + next_token_is_property = True + elif lowercase_name in ('procedure', 'operator', + 'function', 'constructor', + 'destructor'): + in_function_block = True + next_token_is_function = True + # we are in a function block and the current name + # is in the set of registered modifiers. highlight + # it as pseudo keyword + elif in_function_block and \ + lowercase_name in self.FUNCTION_MODIFIERS: + token = Keyword.Pseudo + # if we are in a property highlight some more + # modifiers + elif in_property_block and \ + lowercase_name in ('read', 'write'): + token = Keyword.Pseudo + next_token_is_function = True + # if the last iteration set next_token_is_function + # to true we now want this name highlighted as + # function. so do that and reset the state + elif next_token_is_function: + # Look if the next token is a dot. If yes it's + # not a function, but a class name and the + # part after the dot a function name + if scanner.test(r'\s*\.\s*'): + token = Name.Class + # it's not a dot, our job is done + else: + token = Name.Function + next_token_is_function = False + # same for properties + elif next_token_is_property: + token = Name.Property + next_token_is_property = False + # Highlight this token as label and add it + # to the list of known labels + elif collect_labels: + token = Name.Label + block_labels.add(scanner.match.lower()) + # name is in list of known labels + elif lowercase_name in block_labels: + token = Name.Label + elif lowercase_name in self.BUILTIN_TYPES: + token = Keyword.Type + elif lowercase_name in self.DIRECTIVES: + token = Keyword.Pseudo + # builtins are just builtins if the token + # before isn't a dot + elif not was_dot and lowercase_name in self.builtins: + token = Name.Builtin + else: + token = Name + elif scanner.scan(r"'"): + token = String + stack.append('string') + elif scanner.scan(r'\#(\d+|\$[0-9A-Fa-f]+)'): + token = String.Char + elif scanner.scan(r'\$[0-9A-Fa-f]+'): + token = Number.Hex + elif scanner.scan(r'\d+(?![eE]|\.[^.])'): + token = Number.Integer + elif scanner.scan(r'\d+(\.\d+([eE][+-]?\d+)?|[eE][+-]?\d+)'): + token = Number.Float + else: + # if the stack depth is deeper than once, pop + if len(stack) > 1: + stack.pop() + scanner.get_char() + + elif stack[-1] == 'string': + if scanner.scan(r"''"): + token = String.Escape + elif scanner.scan(r"'"): + token = String + stack.pop() + elif scanner.scan(r"[^']*"): + token = String + else: + scanner.get_char() + stack.pop() + + elif stack[-1] == 'asm': + if scanner.scan(r'\s+'): + token = Text + elif scanner.scan(r'end'): + token = Keyword + stack.pop() + elif scanner.scan(r'\{.*?\}|\(\*.*?\*\)'): + if scanner.match.startswith('$'): + token = Comment.Preproc + else: + token = Comment.Multiline + elif scanner.scan(r'//.*?$'): + token = Comment.Single + elif scanner.scan(r"'"): + token = String + stack.append('string') + elif scanner.scan(r'@@[A-Za-z_][A-Za-z_0-9]*'): + token = Name.Label + elif scanner.scan(r'[A-Za-z_][A-Za-z_0-9]*'): + lowercase_name = scanner.match.lower() + if lowercase_name in self.ASM_INSTRUCTIONS: + token = Keyword + elif lowercase_name in self.ASM_REGISTERS: + token = Name.Builtin + else: + token = Name + elif scanner.scan(r'[-+*\/=<>:;,.@\^]+'): + token = Operator + elif scanner.scan(r'[\(\)\[\]]+'): + token = Punctuation + elif scanner.scan(r'\$[0-9A-Fa-f]+'): + token = Number.Hex + elif scanner.scan(r'\d+(?![eE]|\.[^.])'): + token = Number.Integer + elif scanner.scan(r'\d+(\.\d+([eE][+-]?\d+)?|[eE][+-]?\d+)'): + token = Number.Float + else: + scanner.get_char() + stack.pop() + + # save the dot!!!11 + if scanner.match.strip(): + was_dot = scanner.match == '.' + yield scanner.start_pos, token, scanner.match or '' + + +class AdaLexer(RegexLexer): + """ + For Ada source code. + + .. versionadded:: 1.3 + """ + + name = 'Ada' + aliases = ['ada', 'ada95', 'ada2005'] + filenames = ['*.adb', '*.ads', '*.ada'] + mimetypes = ['text/x-ada'] + + flags = re.MULTILINE | re.IGNORECASE + + tokens = { + 'root': [ + (r'[^\S\n]+', Text), + (r'--.*?\n', Comment.Single), + (r'[^\S\n]+', Text), + (r'function|procedure|entry', Keyword.Declaration, 'subprogram'), + (r'(subtype|type)(\s+)(\w+)', + bygroups(Keyword.Declaration, Text, Keyword.Type), 'type_def'), + (r'task|protected', Keyword.Declaration), + (r'(subtype)(\s+)', bygroups(Keyword.Declaration, Text)), + (r'(end)(\s+)', bygroups(Keyword.Reserved, Text), 'end'), + (r'(pragma)(\s+)(\w+)', bygroups(Keyword.Reserved, Text, + Comment.Preproc)), + (r'(true|false|null)\b', Keyword.Constant), + (words(( + 'Address', 'Byte', 'Boolean', 'Character', 'Controlled', 'Count', + 'Cursor', 'Duration', 'File_Mode', 'File_Type', 'Float', 'Generator', + 'Integer', 'Long_Float', 'Long_Integer', 'Long_Long_Float', + 'Long_Long_Integer', 'Natural', 'Positive', 'Reference_Type', + 'Short_Float', 'Short_Integer', 'Short_Short_Float', + 'Short_Short_Integer', 'String', 'Wide_Character', 'Wide_String'), + suffix=r'\b'), + Keyword.Type), + (r'(and(\s+then)?|in|mod|not|or(\s+else)|rem)\b', Operator.Word), + (r'generic|private', Keyword.Declaration), + (r'package', Keyword.Declaration, 'package'), + (r'array\b', Keyword.Reserved, 'array_def'), + (r'(with|use)(\s+)', bygroups(Keyword.Namespace, Text), 'import'), + (r'(\w+)(\s*)(:)(\s*)(constant)', + bygroups(Name.Constant, Text, Punctuation, Text, + Keyword.Reserved)), + (r'<<\w+>>', Name.Label), + (r'(\w+)(\s*)(:)(\s*)(declare|begin|loop|for|while)', + bygroups(Name.Label, Text, Punctuation, Text, Keyword.Reserved)), + (words(( + 'abort', 'abs', 'abstract', 'accept', 'access', 'aliased', 'all', + 'array', 'at', 'begin', 'body', 'case', 'constant', 'declare', + 'delay', 'delta', 'digits', 'do', 'else', 'elsif', 'end', 'entry', + 'exception', 'exit', 'interface', 'for', 'goto', 'if', 'is', 'limited', + 'loop', 'new', 'null', 'of', 'or', 'others', 'out', 'overriding', + 'pragma', 'protected', 'raise', 'range', 'record', 'renames', 'requeue', + 'return', 'reverse', 'select', 'separate', 'subtype', 'synchronized', + 'task', 'tagged', 'terminate', 'then', 'type', 'until', 'when', + 'while', 'xor'), prefix=r'\b', suffix=r'\b'), + Keyword.Reserved), + (r'"[^"]*"', String), + include('attribute'), + include('numbers'), + (r"'[^']'", String.Character), + (r'(\w+)(\s*|[(,])', bygroups(Name, using(this))), + (r"(<>|=>|:=|[()|:;,.'])", Punctuation), + (r'[*<>+=/&-]', Operator), + (r'\n+', Text), + ], + 'numbers': [ + (r'[0-9_]+#[0-9a-f]+#', Number.Hex), + (r'[0-9_]+\.[0-9_]*', Number.Float), + (r'[0-9_]+', Number.Integer), + ], + 'attribute': [ + (r"(')(\w+)", bygroups(Punctuation, Name.Attribute)), + ], + 'subprogram': [ + (r'\(', Punctuation, ('#pop', 'formal_part')), + (r';', Punctuation, '#pop'), + (r'is\b', Keyword.Reserved, '#pop'), + (r'"[^"]+"|\w+', Name.Function), + include('root'), + ], + 'end': [ + ('(if|case|record|loop|select)', Keyword.Reserved), + ('"[^"]+"|[\w.]+', Name.Function), + ('\s+', Text), + (';', Punctuation, '#pop'), + ], + 'type_def': [ + (r';', Punctuation, '#pop'), + (r'\(', Punctuation, 'formal_part'), + (r'with|and|use', Keyword.Reserved), + (r'array\b', Keyword.Reserved, ('#pop', 'array_def')), + (r'record\b', Keyword.Reserved, ('record_def')), + (r'(null record)(;)', bygroups(Keyword.Reserved, Punctuation), '#pop'), + include('root'), + ], + 'array_def': [ + (r';', Punctuation, '#pop'), + (r'(\w+)(\s+)(range)', bygroups(Keyword.Type, Text, Keyword.Reserved)), + include('root'), + ], + 'record_def': [ + (r'end record', Keyword.Reserved, '#pop'), + include('root'), + ], + 'import': [ + (r'[\w.]+', Name.Namespace, '#pop'), + default('#pop'), + ], + 'formal_part': [ + (r'\)', Punctuation, '#pop'), + (r'\w+', Name.Variable), + (r',|:[^=]', Punctuation), + (r'(in|not|null|out|access)\b', Keyword.Reserved), + include('root'), + ], + 'package': [ + ('body', Keyword.Declaration), + ('is\s+new|renames', Keyword.Reserved), + ('is', Keyword.Reserved, '#pop'), + (';', Punctuation, '#pop'), + ('\(', Punctuation, 'package_instantiation'), + ('([\w.]+)', Name.Class), + include('root'), + ], + 'package_instantiation': [ + (r'("[^"]+"|\w+)(\s+)(=>)', bygroups(Name.Variable, Text, Punctuation)), + (r'[\w.\'"]', Text), + (r'\)', Punctuation, '#pop'), + include('root'), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/pawn.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/pawn.py new file mode 100644 index 0000000000000000000000000000000000000000..f462a883c1c6d4425e3f5e95eb3a32977188c5f0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/pawn.py @@ -0,0 +1,199 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.pawn + ~~~~~~~~~~~~~~~~~~~~ + + Lexers for the Pawn languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Error +from pygments.util import get_bool_opt + +__all__ = ['SourcePawnLexer', 'PawnLexer'] + + +class SourcePawnLexer(RegexLexer): + """ + For SourcePawn source code with preprocessor directives. + + .. versionadded:: 1.6 + """ + name = 'SourcePawn' + aliases = ['sp'] + filenames = ['*.sp'] + mimetypes = ['text/x-sourcepawn'] + + #: optional Comment or Whitespace + _ws = r'(?:\s|//.*?\n|/\*.*?\*/)+' + #: only one /* */ style comment + _ws1 = r'\s*(?:/[*].*?[*]/\s*)*' + + tokens = { + 'root': [ + # preprocessor directives: without whitespace + ('^#if\s+0', Comment.Preproc, 'if0'), + ('^#', Comment.Preproc, 'macro'), + # or with whitespace + ('^' + _ws1 + r'#if\s+0', Comment.Preproc, 'if0'), + ('^' + _ws1 + '#', Comment.Preproc, 'macro'), + (r'\n', Text), + (r'\s+', Text), + (r'\\\n', Text), # line continuation + (r'/(\\\n)?/(\n|(.|\n)*?[^\\]\n)', Comment.Single), + (r'/(\\\n)?\*(.|\n)*?\*(\\\n)?/', Comment.Multiline), + (r'[{}]', Punctuation), + (r'L?"', String, 'string'), + (r"L?'(\\.|\\[0-7]{1,3}|\\x[a-fA-F0-9]{1,2}|[^\\\'\n])'", String.Char), + (r'(\d+\.\d*|\.\d+|\d+)[eE][+-]?\d+[LlUu]*', Number.Float), + (r'(\d+\.\d*|\.\d+|\d+[fF])[fF]?', Number.Float), + (r'0x[0-9a-fA-F]+[LlUu]*', Number.Hex), + (r'0[0-7]+[LlUu]*', Number.Oct), + (r'\d+[LlUu]*', Number.Integer), + (r'\*/', Error), + (r'[~!%^&*+=|?:<>/-]', Operator), + (r'[()\[\],.;]', Punctuation), + (r'(case|const|continue|native|' + r'default|else|enum|for|if|new|operator|' + r'public|return|sizeof|static|decl|struct|switch)\b', Keyword), + (r'(bool|Float)\b', Keyword.Type), + (r'(true|false)\b', Keyword.Constant), + ('[a-zA-Z_]\w*', Name), + ], + 'string': [ + (r'"', String, '#pop'), + (r'\\([\\abfnrtv"\']|x[a-fA-F0-9]{2,4}|[0-7]{1,3})', String.Escape), + (r'[^\\"\n]+', String), # all other characters + (r'\\\n', String), # line continuation + (r'\\', String), # stray backslash + ], + 'macro': [ + (r'[^/\n]+', Comment.Preproc), + (r'/\*(.|\n)*?\*/', Comment.Multiline), + (r'//.*?\n', Comment.Single, '#pop'), + (r'/', Comment.Preproc), + (r'(?<=\\)\n', Comment.Preproc), + (r'\n', Comment.Preproc, '#pop'), + ], + 'if0': [ + (r'^\s*#if.*?(?/-]', Operator), + (r'[()\[\],.;]', Punctuation), + (r'(switch|case|default|const|new|static|char|continue|break|' + r'if|else|for|while|do|operator|enum|' + r'public|return|sizeof|tagof|state|goto)\b', Keyword), + (r'(bool|Float)\b', Keyword.Type), + (r'(true|false)\b', Keyword.Constant), + ('[a-zA-Z_]\w*', Name), + ], + 'string': [ + (r'"', String, '#pop'), + (r'\\([\\abfnrtv"\']|x[a-fA-F0-9]{2,4}|[0-7]{1,3})', String.Escape), + (r'[^\\"\n]+', String), # all other characters + (r'\\\n', String), # line continuation + (r'\\', String), # stray backslash + ], + 'macro': [ + (r'[^/\n]+', Comment.Preproc), + (r'/\*(.|\n)*?\*/', Comment.Multiline), + (r'//.*?\n', Comment.Single, '#pop'), + (r'/', Comment.Preproc), + (r'(?<=\\)\n', Comment.Preproc), + (r'\n', Comment.Preproc, '#pop'), + ], + 'if0': [ + (r'^\s*#if.*?(?`_ source code. + """ + + name = 'Perl' + aliases = ['perl', 'pl'] + filenames = ['*.pl', '*.pm', '*.t'] + mimetypes = ['text/x-perl', 'application/x-perl'] + + flags = re.DOTALL | re.MULTILINE + # TODO: give this to a perl guy who knows how to parse perl... + tokens = { + 'balanced-regex': [ + (r'/(\\\\|\\[^\\]|[^\\/])*/[egimosx]*', String.Regex, '#pop'), + (r'!(\\\\|\\[^\\]|[^\\!])*![egimosx]*', String.Regex, '#pop'), + (r'\\(\\\\|[^\\])*\\[egimosx]*', String.Regex, '#pop'), + (r'\{(\\\\|\\[^\\]|[^\\}])*\}[egimosx]*', String.Regex, '#pop'), + (r'<(\\\\|\\[^\\]|[^\\>])*>[egimosx]*', String.Regex, '#pop'), + (r'\[(\\\\|\\[^\\]|[^\\\]])*\][egimosx]*', String.Regex, '#pop'), + (r'\((\\\\|\\[^\\]|[^\\)])*\)[egimosx]*', String.Regex, '#pop'), + (r'@(\\\\|\\[^\\]|[^\\@])*@[egimosx]*', String.Regex, '#pop'), + (r'%(\\\\|\\[^\\]|[^\\%])*%[egimosx]*', String.Regex, '#pop'), + (r'\$(\\\\|\\[^\\]|[^\\$])*\$[egimosx]*', String.Regex, '#pop'), + ], + 'root': [ + (r'\A\#!.+?$', Comment.Hashbang), + (r'\#.*?$', Comment.Single), + (r'^=[a-zA-Z0-9]+\s+.*?\n=cut', Comment.Multiline), + (words(( + 'case', 'continue', 'do', 'else', 'elsif', 'for', 'foreach', + 'if', 'last', 'my', 'next', 'our', 'redo', 'reset', 'then', + 'unless', 'until', 'while', 'print', 'new', 'BEGIN', + 'CHECK', 'INIT', 'END', 'return'), suffix=r'\b'), + Keyword), + (r'(format)(\s+)(\w+)(\s*)(=)(\s*\n)', + bygroups(Keyword, Text, Name, Text, Punctuation, Text), 'format'), + (r'(eq|lt|gt|le|ge|ne|not|and|or|cmp)\b', Operator.Word), + # common delimiters + (r's/(\\\\|\\[^\\]|[^\\/])*/(\\\\|\\[^\\]|[^\\/])*/[egimosx]*', + String.Regex), + (r's!(\\\\|\\!|[^!])*!(\\\\|\\!|[^!])*![egimosx]*', String.Regex), + (r's\\(\\\\|[^\\])*\\(\\\\|[^\\])*\\[egimosx]*', String.Regex), + (r's@(\\\\|\\[^\\]|[^\\@])*@(\\\\|\\[^\\]|[^\\@])*@[egimosx]*', + String.Regex), + (r's%(\\\\|\\[^\\]|[^\\%])*%(\\\\|\\[^\\]|[^\\%])*%[egimosx]*', + String.Regex), + # balanced delimiters + (r's\{(\\\\|\\[^\\]|[^\\}])*\}\s*', String.Regex, 'balanced-regex'), + (r's<(\\\\|\\[^\\]|[^\\>])*>\s*', String.Regex, 'balanced-regex'), + (r's\[(\\\\|\\[^\\]|[^\\\]])*\]\s*', String.Regex, + 'balanced-regex'), + (r's\((\\\\|\\[^\\]|[^\\)])*\)\s*', String.Regex, + 'balanced-regex'), + + (r'm?/(\\\\|\\[^\\]|[^\\/\n])*/[gcimosx]*', String.Regex), + (r'm(?=[/!\\{<\[(@%$])', String.Regex, 'balanced-regex'), + (r'((?<==~)|(?<=\())\s*/(\\\\|\\[^\\]|[^\\/])*/[gcimosx]*', + String.Regex), + (r'\s+', Text), + (words(( + 'abs', 'accept', 'alarm', 'atan2', 'bind', 'binmode', 'bless', 'caller', 'chdir', + 'chmod', 'chomp', 'chop', 'chown', 'chr', 'chroot', 'close', 'closedir', 'connect', + 'continue', 'cos', 'crypt', 'dbmclose', 'dbmopen', 'defined', 'delete', 'die', + 'dump', 'each', 'endgrent', 'endhostent', 'endnetent', 'endprotoent', + 'endpwent', 'endservent', 'eof', 'eval', 'exec', 'exists', 'exit', 'exp', 'fcntl', + 'fileno', 'flock', 'fork', 'format', 'formline', 'getc', 'getgrent', 'getgrgid', + 'getgrnam', 'gethostbyaddr', 'gethostbyname', 'gethostent', 'getlogin', + 'getnetbyaddr', 'getnetbyname', 'getnetent', 'getpeername', 'getpgrp', + 'getppid', 'getpriority', 'getprotobyname', 'getprotobynumber', + 'getprotoent', 'getpwent', 'getpwnam', 'getpwuid', 'getservbyname', + 'getservbyport', 'getservent', 'getsockname', 'getsockopt', 'glob', 'gmtime', + 'goto', 'grep', 'hex', 'import', 'index', 'int', 'ioctl', 'join', 'keys', 'kill', 'last', + 'lc', 'lcfirst', 'length', 'link', 'listen', 'local', 'localtime', 'log', 'lstat', + 'map', 'mkdir', 'msgctl', 'msgget', 'msgrcv', 'msgsnd', 'my', 'next', 'oct', 'open', + 'opendir', 'ord', 'our', 'pack', 'pipe', 'pop', 'pos', 'printf', + 'prototype', 'push', 'quotemeta', 'rand', 'read', 'readdir', + 'readline', 'readlink', 'readpipe', 'recv', 'redo', 'ref', 'rename', + 'reverse', 'rewinddir', 'rindex', 'rmdir', 'scalar', 'seek', 'seekdir', + 'select', 'semctl', 'semget', 'semop', 'send', 'setgrent', 'sethostent', 'setnetent', + 'setpgrp', 'setpriority', 'setprotoent', 'setpwent', 'setservent', + 'setsockopt', 'shift', 'shmctl', 'shmget', 'shmread', 'shmwrite', 'shutdown', + 'sin', 'sleep', 'socket', 'socketpair', 'sort', 'splice', 'split', 'sprintf', 'sqrt', + 'srand', 'stat', 'study', 'substr', 'symlink', 'syscall', 'sysopen', 'sysread', + 'sysseek', 'system', 'syswrite', 'tell', 'telldir', 'tie', 'tied', 'time', 'times', 'tr', + 'truncate', 'uc', 'ucfirst', 'umask', 'undef', 'unlink', 'unpack', 'unshift', 'untie', + 'utime', 'values', 'vec', 'wait', 'waitpid', 'wantarray', 'warn', 'write'), suffix=r'\b'), + Name.Builtin), + (r'((__(DATA|DIE|WARN)__)|(STD(IN|OUT|ERR)))\b', Name.Builtin.Pseudo), + (r'(<<)([\'"]?)([a-zA-Z_]\w*)(\2;?\n.*?\n)(\3)(\n)', + bygroups(String, String, String.Delimiter, String, String.Delimiter, Text)), + (r'__END__', Comment.Preproc, 'end-part'), + (r'\$\^[ADEFHILMOPSTWX]', Name.Variable.Global), + (r"\$[\\\"\[\]'&`+*.,;=%~?@$!<>(^|/-](?!\w)", Name.Variable.Global), + (r'[$@%#]+', Name.Variable, 'varname'), + (r'0_?[0-7]+(_[0-7]+)*', Number.Oct), + (r'0x[0-9A-Fa-f]+(_[0-9A-Fa-f]+)*', Number.Hex), + (r'0b[01]+(_[01]+)*', Number.Bin), + (r'(?i)(\d*(_\d*)*\.\d+(_\d*)*|\d+(_\d*)*\.\d+(_\d*)*)(e[+-]?\d+)?', + Number.Float), + (r'(?i)\d+(_\d*)*e[+-]?\d+(_\d*)*', Number.Float), + (r'\d+(_\d+)*', Number.Integer), + (r"'(\\\\|\\[^\\]|[^'\\])*'", String), + (r'"(\\\\|\\[^\\]|[^"\\])*"', String), + (r'`(\\\\|\\[^\\]|[^`\\])*`', String.Backtick), + (r'<([^\s>]+)>', String.Regex), + (r'(q|qq|qw|qr|qx)\{', String.Other, 'cb-string'), + (r'(q|qq|qw|qr|qx)\(', String.Other, 'rb-string'), + (r'(q|qq|qw|qr|qx)\[', String.Other, 'sb-string'), + (r'(q|qq|qw|qr|qx)\<', String.Other, 'lt-string'), + (r'(q|qq|qw|qr|qx)([\W_])(.|\n)*?\2', String.Other), + (r'(package)(\s+)([a-zA-Z_]\w*(?:::[a-zA-Z_]\w*)*)', + bygroups(Keyword, Text, Name.Namespace)), + (r'(use|require|no)(\s+)([a-zA-Z_]\w*(?:::[a-zA-Z_]\w*)*)', + bygroups(Keyword, Text, Name.Namespace)), + (r'(sub)(\s+)', bygroups(Keyword, Text), 'funcname'), + (words(( + 'no', 'package', 'require', 'use'), suffix=r'\b'), + Keyword), + (r'(\[\]|\*\*|::|<<|>>|>=|<=>|<=|={3}|!=|=~|' + r'!~|&&?|\|\||\.{1,3})', Operator), + (r'[-+/*%=<>&^|!\\~]=?', Operator), + (r'[()\[\]:;,<>/?{}]', Punctuation), # yes, there's no shortage + # of punctuation in Perl! + (r'(?=\w)', Name, 'name'), + ], + 'format': [ + (r'\.\n', String.Interpol, '#pop'), + (r'[^\n]*\n', String.Interpol), + ], + 'varname': [ + (r'\s+', Text), + (r'\{', Punctuation, '#pop'), # hash syntax? + (r'\)|,', Punctuation, '#pop'), # argument specifier + (r'\w+::', Name.Namespace), + (r'[\w:]+', Name.Variable, '#pop'), + ], + 'name': [ + (r'[a-zA-Z_]\w*(::[a-zA-Z_]\w*)*(::)?(?=\s*->)', Name.Namespace, '#pop'), + (r'[a-zA-Z_]\w*(::[a-zA-Z_]\w*)*::', Name.Namespace, '#pop'), + (r'[\w:]+', Name, '#pop'), + (r'[A-Z_]+(?=\W)', Name.Constant, '#pop'), + (r'(?=\W)', Text, '#pop'), + ], + 'funcname': [ + (r'[a-zA-Z_]\w*[!?]?', Name.Function), + (r'\s+', Text), + # argument declaration + (r'(\([$@%]*\))(\s*)', bygroups(Punctuation, Text)), + (r';', Punctuation, '#pop'), + (r'.*?\{', Punctuation, '#pop'), + ], + 'cb-string': [ + (r'\\[{}\\]', String.Other), + (r'\\', String.Other), + (r'\{', String.Other, 'cb-string'), + (r'\}', String.Other, '#pop'), + (r'[^{}\\]+', String.Other) + ], + 'rb-string': [ + (r'\\[()\\]', String.Other), + (r'\\', String.Other), + (r'\(', String.Other, 'rb-string'), + (r'\)', String.Other, '#pop'), + (r'[^()]+', String.Other) + ], + 'sb-string': [ + (r'\\[\[\]\\]', String.Other), + (r'\\', String.Other), + (r'\[', String.Other, 'sb-string'), + (r'\]', String.Other, '#pop'), + (r'[^\[\]]+', String.Other) + ], + 'lt-string': [ + (r'\\[<>\\]', String.Other), + (r'\\', String.Other), + (r'\<', String.Other, 'lt-string'), + (r'\>', String.Other, '#pop'), + (r'[^<>]+', String.Other) + ], + 'end-part': [ + (r'.+', Comment.Preproc, '#pop') + ] + } + + def analyse_text(text): + if shebang_matches(text, r'perl'): + return True + if re.search('(?:my|our)\s+[$@%(]', text): + return 0.9 + + +class Perl6Lexer(ExtendedRegexLexer): + """ + For `Perl 6 `_ source code. + + .. versionadded:: 2.0 + """ + + name = 'Perl6' + aliases = ['perl6', 'pl6'] + filenames = ['*.pl', '*.pm', '*.nqp', '*.p6', '*.6pl', '*.p6l', '*.pl6', + '*.6pm', '*.p6m', '*.pm6', '*.t'] + mimetypes = ['text/x-perl6', 'application/x-perl6'] + flags = re.MULTILINE | re.DOTALL | re.UNICODE + + PERL6_IDENTIFIER_RANGE = "['\w:-]" + + PERL6_KEYWORDS = ( + 'BEGIN', 'CATCH', 'CHECK', 'CONTROL', 'END', 'ENTER', 'FIRST', 'INIT', + 'KEEP', 'LAST', 'LEAVE', 'NEXT', 'POST', 'PRE', 'START', 'TEMP', + 'UNDO', 'as', 'assoc', 'async', 'augment', 'binary', 'break', 'but', + 'cached', 'category', 'class', 'constant', 'contend', 'continue', + 'copy', 'deep', 'default', 'defequiv', 'defer', 'die', 'do', 'else', + 'elsif', 'enum', 'equiv', 'exit', 'export', 'fail', 'fatal', 'for', + 'gather', 'given', 'goto', 'grammar', 'handles', 'has', 'if', 'inline', + 'irs', 'is', 'last', 'leave', 'let', 'lift', 'loop', 'looser', 'macro', + 'make', 'maybe', 'method', 'module', 'multi', 'my', 'next', 'of', + 'ofs', 'only', 'oo', 'ors', 'our', 'package', 'parsed', 'prec', + 'proto', 'readonly', 'redo', 'ref', 'regex', 'reparsed', 'repeat', + 'require', 'required', 'return', 'returns', 'role', 'rule', 'rw', + 'self', 'slang', 'state', 'sub', 'submethod', 'subset', 'supersede', + 'take', 'temp', 'tighter', 'token', 'trusts', 'try', 'unary', + 'unless', 'until', 'use', 'warn', 'when', 'where', 'while', 'will', + ) + + PERL6_BUILTINS = ( + 'ACCEPTS', 'HOW', 'REJECTS', 'VAR', 'WHAT', 'WHENCE', 'WHERE', 'WHICH', + 'WHO', 'abs', 'acos', 'acosec', 'acosech', 'acosh', 'acotan', 'acotanh', + 'all', 'any', 'approx', 'arity', 'asec', 'asech', 'asin', 'asinh', + 'assuming', 'atan', 'atan2', 'atanh', 'attr', 'bless', 'body', 'by', + 'bytes', 'caller', 'callsame', 'callwith', 'can', 'capitalize', 'cat', + 'ceiling', 'chars', 'chmod', 'chomp', 'chop', 'chr', 'chroot', + 'circumfix', 'cis', 'classify', 'clone', 'close', 'cmp_ok', 'codes', + 'comb', 'connect', 'contains', 'context', 'cos', 'cosec', 'cosech', + 'cosh', 'cotan', 'cotanh', 'count', 'defined', 'delete', 'diag', + 'dies_ok', 'does', 'e', 'each', 'eager', 'elems', 'end', 'eof', 'eval', + 'eval_dies_ok', 'eval_elsewhere', 'eval_lives_ok', 'evalfile', 'exists', + 'exp', 'first', 'flip', 'floor', 'flunk', 'flush', 'fmt', 'force_todo', + 'fork', 'from', 'getc', 'gethost', 'getlogin', 'getpeername', 'getpw', + 'gmtime', 'graphs', 'grep', 'hints', 'hyper', 'im', 'index', 'infix', + 'invert', 'is_approx', 'is_deeply', 'isa', 'isa_ok', 'isnt', 'iterator', + 'join', 'key', 'keys', 'kill', 'kv', 'lastcall', 'lazy', 'lc', 'lcfirst', + 'like', 'lines', 'link', 'lives_ok', 'localtime', 'log', 'log10', 'map', + 'max', 'min', 'minmax', 'name', 'new', 'nextsame', 'nextwith', 'nfc', + 'nfd', 'nfkc', 'nfkd', 'nok_error', 'nonce', 'none', 'normalize', 'not', + 'nothing', 'ok', 'once', 'one', 'open', 'opendir', 'operator', 'ord', + 'p5chomp', 'p5chop', 'pack', 'pair', 'pairs', 'pass', 'perl', 'pi', + 'pick', 'plan', 'plan_ok', 'polar', 'pop', 'pos', 'postcircumfix', + 'postfix', 'pred', 'prefix', 'print', 'printf', 'push', 'quasi', + 'quotemeta', 'rand', 're', 'read', 'readdir', 'readline', 'reduce', + 'reverse', 'rewind', 'rewinddir', 'rindex', 'roots', 'round', + 'roundrobin', 'run', 'runinstead', 'sameaccent', 'samecase', 'say', + 'sec', 'sech', 'sech', 'seek', 'shape', 'shift', 'sign', 'signature', + 'sin', 'sinh', 'skip', 'skip_rest', 'sleep', 'slurp', 'sort', 'splice', + 'split', 'sprintf', 'sqrt', 'srand', 'strand', 'subst', 'substr', 'succ', + 'sum', 'symlink', 'tan', 'tanh', 'throws_ok', 'time', 'times', 'to', + 'todo', 'trim', 'trim_end', 'trim_start', 'true', 'truncate', 'uc', + 'ucfirst', 'undef', 'undefine', 'uniq', 'unlike', 'unlink', 'unpack', + 'unpolar', 'unshift', 'unwrap', 'use_ok', 'value', 'values', 'vec', + 'version_lt', 'void', 'wait', 'want', 'wrap', 'write', 'zip', + ) + + PERL6_BUILTIN_CLASSES = ( + 'Abstraction', 'Any', 'AnyChar', 'Array', 'Associative', 'Bag', 'Bit', + 'Blob', 'Block', 'Bool', 'Buf', 'Byte', 'Callable', 'Capture', 'Char', 'Class', + 'Code', 'Codepoint', 'Comparator', 'Complex', 'Decreasing', 'Exception', + 'Failure', 'False', 'Grammar', 'Grapheme', 'Hash', 'IO', 'Increasing', + 'Int', 'Junction', 'KeyBag', 'KeyExtractor', 'KeyHash', 'KeySet', + 'KitchenSink', 'List', 'Macro', 'Mapping', 'Match', 'Matcher', 'Method', + 'Module', 'Num', 'Object', 'Ordered', 'Ordering', 'OrderingPair', + 'Package', 'Pair', 'Positional', 'Proxy', 'Range', 'Rat', 'Regex', + 'Role', 'Routine', 'Scalar', 'Seq', 'Set', 'Signature', 'Str', 'StrLen', + 'StrPos', 'Sub', 'Submethod', 'True', 'UInt', 'Undef', 'Version', 'Void', + 'Whatever', 'bit', 'bool', 'buf', 'buf1', 'buf16', 'buf2', 'buf32', + 'buf4', 'buf64', 'buf8', 'complex', 'int', 'int1', 'int16', 'int2', + 'int32', 'int4', 'int64', 'int8', 'num', 'rat', 'rat1', 'rat16', 'rat2', + 'rat32', 'rat4', 'rat64', 'rat8', 'uint', 'uint1', 'uint16', 'uint2', + 'uint32', 'uint4', 'uint64', 'uint8', 'utf16', 'utf32', 'utf8', + ) + + PERL6_OPERATORS = ( + 'X', 'Z', 'after', 'also', 'and', 'andthen', 'before', 'cmp', 'div', + 'eq', 'eqv', 'extra', 'ff', 'fff', 'ge', 'gt', 'le', 'leg', 'lt', 'm', + 'mm', 'mod', 'ne', 'or', 'orelse', 'rx', 's', 'tr', 'x', 'xor', 'xx', + '++', '--', '**', '!', '+', '-', '~', '?', '|', '||', '+^', '~^', '?^', + '^', '*', '/', '%', '%%', '+&', '+<', '+>', '~&', '~<', '~>', '?&', + 'gcd', 'lcm', '+', '-', '+|', '+^', '~|', '~^', '?|', '?^', + '~', '&', '^', 'but', 'does', '<=>', '..', '..^', '^..', '^..^', + '!=', '==', '<', '<=', '>', '>=', '~~', '===', '!eqv', + '&&', '||', '^^', '//', 'min', 'max', '??', '!!', 'ff', 'fff', 'so', + 'not', '<==', '==>', '<<==', '==>>', + ) + + # Perl 6 has a *lot* of possible bracketing characters + # this list was lifted from STD.pm6 (https://github.com/perl6/std) + PERL6_BRACKETS = { + u'\u0028': u'\u0029', u'\u003c': u'\u003e', u'\u005b': u'\u005d', + u'\u007b': u'\u007d', u'\u00ab': u'\u00bb', u'\u0f3a': u'\u0f3b', + u'\u0f3c': u'\u0f3d', u'\u169b': u'\u169c', u'\u2018': u'\u2019', + u'\u201a': u'\u2019', u'\u201b': u'\u2019', u'\u201c': u'\u201d', + u'\u201e': u'\u201d', u'\u201f': u'\u201d', u'\u2039': u'\u203a', + u'\u2045': u'\u2046', u'\u207d': u'\u207e', u'\u208d': u'\u208e', + u'\u2208': u'\u220b', u'\u2209': u'\u220c', u'\u220a': u'\u220d', + u'\u2215': u'\u29f5', u'\u223c': u'\u223d', u'\u2243': u'\u22cd', + u'\u2252': u'\u2253', u'\u2254': u'\u2255', u'\u2264': u'\u2265', + u'\u2266': u'\u2267', u'\u2268': u'\u2269', u'\u226a': u'\u226b', + u'\u226e': u'\u226f', u'\u2270': u'\u2271', u'\u2272': u'\u2273', + u'\u2274': u'\u2275', u'\u2276': u'\u2277', u'\u2278': u'\u2279', + u'\u227a': u'\u227b', u'\u227c': u'\u227d', u'\u227e': u'\u227f', + u'\u2280': u'\u2281', u'\u2282': u'\u2283', u'\u2284': u'\u2285', + u'\u2286': u'\u2287', u'\u2288': u'\u2289', u'\u228a': u'\u228b', + u'\u228f': u'\u2290', u'\u2291': u'\u2292', u'\u2298': u'\u29b8', + u'\u22a2': u'\u22a3', u'\u22a6': u'\u2ade', u'\u22a8': u'\u2ae4', + u'\u22a9': u'\u2ae3', u'\u22ab': u'\u2ae5', u'\u22b0': u'\u22b1', + u'\u22b2': u'\u22b3', u'\u22b4': u'\u22b5', u'\u22b6': u'\u22b7', + u'\u22c9': u'\u22ca', u'\u22cb': u'\u22cc', u'\u22d0': u'\u22d1', + u'\u22d6': u'\u22d7', u'\u22d8': u'\u22d9', u'\u22da': u'\u22db', + u'\u22dc': u'\u22dd', u'\u22de': u'\u22df', u'\u22e0': u'\u22e1', + u'\u22e2': u'\u22e3', u'\u22e4': u'\u22e5', u'\u22e6': u'\u22e7', + u'\u22e8': u'\u22e9', u'\u22ea': u'\u22eb', u'\u22ec': u'\u22ed', + u'\u22f0': u'\u22f1', u'\u22f2': u'\u22fa', u'\u22f3': u'\u22fb', + u'\u22f4': u'\u22fc', u'\u22f6': u'\u22fd', u'\u22f7': u'\u22fe', + u'\u2308': u'\u2309', u'\u230a': u'\u230b', u'\u2329': u'\u232a', + u'\u23b4': u'\u23b5', u'\u2768': u'\u2769', u'\u276a': u'\u276b', + u'\u276c': u'\u276d', u'\u276e': u'\u276f', u'\u2770': u'\u2771', + u'\u2772': u'\u2773', u'\u2774': u'\u2775', u'\u27c3': u'\u27c4', + u'\u27c5': u'\u27c6', u'\u27d5': u'\u27d6', u'\u27dd': u'\u27de', + u'\u27e2': u'\u27e3', u'\u27e4': u'\u27e5', u'\u27e6': u'\u27e7', + u'\u27e8': u'\u27e9', u'\u27ea': u'\u27eb', u'\u2983': u'\u2984', + u'\u2985': u'\u2986', u'\u2987': u'\u2988', u'\u2989': u'\u298a', + u'\u298b': u'\u298c', u'\u298d': u'\u298e', u'\u298f': u'\u2990', + u'\u2991': u'\u2992', u'\u2993': u'\u2994', u'\u2995': u'\u2996', + u'\u2997': u'\u2998', u'\u29c0': u'\u29c1', u'\u29c4': u'\u29c5', + u'\u29cf': u'\u29d0', u'\u29d1': u'\u29d2', u'\u29d4': u'\u29d5', + u'\u29d8': u'\u29d9', u'\u29da': u'\u29db', u'\u29f8': u'\u29f9', + u'\u29fc': u'\u29fd', u'\u2a2b': u'\u2a2c', u'\u2a2d': u'\u2a2e', + u'\u2a34': u'\u2a35', u'\u2a3c': u'\u2a3d', u'\u2a64': u'\u2a65', + u'\u2a79': u'\u2a7a', u'\u2a7d': u'\u2a7e', u'\u2a7f': u'\u2a80', + u'\u2a81': u'\u2a82', u'\u2a83': u'\u2a84', u'\u2a8b': u'\u2a8c', + u'\u2a91': u'\u2a92', u'\u2a93': u'\u2a94', u'\u2a95': u'\u2a96', + u'\u2a97': u'\u2a98', u'\u2a99': u'\u2a9a', u'\u2a9b': u'\u2a9c', + u'\u2aa1': u'\u2aa2', u'\u2aa6': u'\u2aa7', u'\u2aa8': u'\u2aa9', + u'\u2aaa': u'\u2aab', u'\u2aac': u'\u2aad', u'\u2aaf': u'\u2ab0', + u'\u2ab3': u'\u2ab4', u'\u2abb': u'\u2abc', u'\u2abd': u'\u2abe', + u'\u2abf': u'\u2ac0', u'\u2ac1': u'\u2ac2', u'\u2ac3': u'\u2ac4', + u'\u2ac5': u'\u2ac6', u'\u2acd': u'\u2ace', u'\u2acf': u'\u2ad0', + u'\u2ad1': u'\u2ad2', u'\u2ad3': u'\u2ad4', u'\u2ad5': u'\u2ad6', + u'\u2aec': u'\u2aed', u'\u2af7': u'\u2af8', u'\u2af9': u'\u2afa', + u'\u2e02': u'\u2e03', u'\u2e04': u'\u2e05', u'\u2e09': u'\u2e0a', + u'\u2e0c': u'\u2e0d', u'\u2e1c': u'\u2e1d', u'\u2e20': u'\u2e21', + u'\u3008': u'\u3009', u'\u300a': u'\u300b', u'\u300c': u'\u300d', + u'\u300e': u'\u300f', u'\u3010': u'\u3011', u'\u3014': u'\u3015', + u'\u3016': u'\u3017', u'\u3018': u'\u3019', u'\u301a': u'\u301b', + u'\u301d': u'\u301e', u'\ufd3e': u'\ufd3f', u'\ufe17': u'\ufe18', + u'\ufe35': u'\ufe36', u'\ufe37': u'\ufe38', u'\ufe39': u'\ufe3a', + u'\ufe3b': u'\ufe3c', u'\ufe3d': u'\ufe3e', u'\ufe3f': u'\ufe40', + u'\ufe41': u'\ufe42', u'\ufe43': u'\ufe44', u'\ufe47': u'\ufe48', + u'\ufe59': u'\ufe5a', u'\ufe5b': u'\ufe5c', u'\ufe5d': u'\ufe5e', + u'\uff08': u'\uff09', u'\uff1c': u'\uff1e', u'\uff3b': u'\uff3d', + u'\uff5b': u'\uff5d', u'\uff5f': u'\uff60', u'\uff62': u'\uff63', + } + + def _build_word_match(words, boundary_regex_fragment=None, prefix='', suffix=''): + if boundary_regex_fragment is None: + return r'\b(' + prefix + r'|'.join(re.escape(x) for x in words) + \ + suffix + r')\b' + else: + return r'(? 0: + next_open_pos = text.find(opening_chars, search_pos + n_chars) + next_close_pos = text.find(closing_chars, search_pos + n_chars) + + if next_close_pos == -1: + next_close_pos = len(text) + nesting_level = 0 + elif next_open_pos != -1 and next_open_pos < next_close_pos: + nesting_level += 1 + search_pos = next_open_pos + else: # next_close_pos < next_open_pos + nesting_level -= 1 + search_pos = next_close_pos + + end_pos = next_close_pos + + if end_pos < 0: # if we didn't find a closer, just highlight the + # rest of the text in this class + end_pos = len(text) + + if adverbs is not None and re.search(r':to\b', adverbs): + heredoc_terminator = text[match.start('delimiter') + n_chars:end_pos] + end_heredoc = re.search(r'^\s*' + re.escape(heredoc_terminator) + + r'\s*$', text[end_pos:], re.MULTILINE) + + if end_heredoc: + end_pos += end_heredoc.end() + else: + end_pos = len(text) + + yield match.start(), token_class, text[match.start():end_pos + n_chars] + context.pos = end_pos + n_chars + + return callback + + def opening_brace_callback(lexer, match, context): + stack = context.stack + + yield match.start(), Text, context.text[match.start():match.end()] + context.pos = match.end() + + # if we encounter an opening brace and we're one level + # below a token state, it means we need to increment + # the nesting level for braces so we know later when + # we should return to the token rules. + if len(stack) > 2 and stack[-2] == 'token': + context.perl6_token_nesting_level += 1 + + def closing_brace_callback(lexer, match, context): + stack = context.stack + + yield match.start(), Text, context.text[match.start():match.end()] + context.pos = match.end() + + # if we encounter a free closing brace and we're one level + # below a token state, it means we need to check the nesting + # level to see if we need to return to the token state. + if len(stack) > 2 and stack[-2] == 'token': + context.perl6_token_nesting_level -= 1 + if context.perl6_token_nesting_level == 0: + stack.pop() + + def embedded_perl6_callback(lexer, match, context): + context.perl6_token_nesting_level = 1 + yield match.start(), Text, context.text[match.start():match.end()] + context.pos = match.end() + context.stack.append('root') + + # If you're modifying these rules, be careful if you need to process '{' or '}' + # characters. We have special logic for processing these characters (due to the fact + # that you can nest Perl 6 code in regex blocks), so if you need to process one of + # them, make sure you also process the corresponding one! + tokens = { + 'common': [ + (r'#[`|=](?P(?P[' + ''.join(PERL6_BRACKETS) + r'])(?P=first_char)*)', + brackets_callback(Comment.Multiline)), + (r'#[^\n]*$', Comment.Singleline), + (r'^(\s*)=begin\s+(\w+)\b.*?^\1=end\s+\2', Comment.Multiline), + (r'^(\s*)=for.*?\n\s*?\n', Comment.Multiline), + (r'^=.*?\n\s*?\n', Comment.Multiline), + (r'(regex|token|rule)(\s*' + PERL6_IDENTIFIER_RANGE + '+:sym)', + bygroups(Keyword, Name), 'token-sym-brackets'), + (r'(regex|token|rule)(?!' + PERL6_IDENTIFIER_RANGE + ')(\s*' + PERL6_IDENTIFIER_RANGE + '+)?', + bygroups(Keyword, Name), 'pre-token'), + # deal with a special case in the Perl 6 grammar (role q { ... }) + (r'(role)(\s+)(q)(\s*)', bygroups(Keyword, Text, Name, Text)), + (_build_word_match(PERL6_KEYWORDS, PERL6_IDENTIFIER_RANGE), Keyword), + (_build_word_match(PERL6_BUILTIN_CLASSES, PERL6_IDENTIFIER_RANGE, suffix='(?::[UD])?'), + Name.Builtin), + (_build_word_match(PERL6_BUILTINS, PERL6_IDENTIFIER_RANGE), Name.Builtin), + # copied from PerlLexer + (r'[$@%&][.^:?=!~]?' + PERL6_IDENTIFIER_RANGE + u'+(?:<<.*?>>|<.*?>|«.*?»)*', + Name.Variable), + (r'\$[!/](?:<<.*?>>|<.*?>|«.*?»)*', Name.Variable.Global), + (r'::\?\w+', Name.Variable.Global), + (r'[$@%&]\*' + PERL6_IDENTIFIER_RANGE + u'+(?:<<.*?>>|<.*?>|«.*?»)*', + Name.Variable.Global), + (r'\$(?:<.*?>)+', Name.Variable), + (r'(?:q|qq|Q)[a-zA-Z]?\s*(?P:[\w\s:]+)?\s*(?P(?P[^0-9a-zA-Z:\s])' + r'(?P=first_char)*)', brackets_callback(String)), + # copied from PerlLexer + (r'0_?[0-7]+(_[0-7]+)*', Number.Oct), + (r'0x[0-9A-Fa-f]+(_[0-9A-Fa-f]+)*', Number.Hex), + (r'0b[01]+(_[01]+)*', Number.Bin), + (r'(?i)(\d*(_\d*)*\.\d+(_\d*)*|\d+(_\d*)*\.\d+(_\d*)*)(e[+-]?\d+)?', + Number.Float), + (r'(?i)\d+(_\d*)*e[+-]?\d+(_\d*)*', Number.Float), + (r'\d+(_\d+)*', Number.Integer), + (r'(?<=~~)\s*/(?:\\\\|\\/|.)*?/', String.Regex), + (r'(?<=[=(,])\s*/(?:\\\\|\\/|.)*?/', String.Regex), + (r'm\w+(?=\()', Name), + (r'(?:m|ms|rx)\s*(?P:[\w\s:]+)?\s*(?P(?P[^\w:\s])' + r'(?P=first_char)*)', brackets_callback(String.Regex)), + (r'(?:s|ss|tr)\s*(?::[\w\s:]+)?\s*/(?:\\\\|\\/|.)*?/(?:\\\\|\\/|.)*?/', + String.Regex), + (r'<[^\s=].*?\S>', String), + (_build_word_match(PERL6_OPERATORS), Operator), + (r'\w' + PERL6_IDENTIFIER_RANGE + '*', Name), + (r"'(\\\\|\\[^\\]|[^'\\])*'", String), + (r'"(\\\\|\\[^\\]|[^"\\])*"', String), + ], + 'root': [ + include('common'), + (r'\{', opening_brace_callback), + (r'\}', closing_brace_callback), + (r'.+?', Text), + ], + 'pre-token': [ + include('common'), + (r'\{', Text, ('#pop', 'token')), + (r'.+?', Text), + ], + 'token-sym-brackets': [ + (r'(?P(?P[' + ''.join(PERL6_BRACKETS) + '])(?P=first_char)*)', + brackets_callback(Name), ('#pop', 'pre-token')), + default(('#pop', 'pre-token')), + ], + 'token': [ + (r'\}', Text, '#pop'), + (r'(?<=:)(?:my|our|state|constant|temp|let).*?;', using(this)), + # make sure that quotes in character classes aren't treated as strings + (r'<(?:[-!?+.]\s*)?\[.*?\]>', String.Regex), + # make sure that '#' characters in quotes aren't treated as comments + (r"(?my|our)\s+)?(?:module|class|role|enum|grammar)', line) + if class_decl: + if saw_perl_decl or class_decl.group('scope') is not None: + return True + rating = 0.05 + continue + break + + return rating + + def __init__(self, **options): + super(Perl6Lexer, self).__init__(**options) + self.encoding = options.get('encoding', 'utf-8') diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/php.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/php.py new file mode 100644 index 0000000000000000000000000000000000000000..f618b5fde638fffa70a6d00a8e348c5ccdda5ab7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/php.py @@ -0,0 +1,267 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.php + ~~~~~~~~~~~~~~~~~~~ + + Lexers for PHP and related languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, default, using, \ + this, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Other +from pygments.util import get_bool_opt, get_list_opt, iteritems + +__all__ = ['ZephirLexer', 'PhpLexer'] + + +class ZephirLexer(RegexLexer): + """ + For `Zephir language `_ source code. + + Zephir is a compiled high level language aimed + to the creation of C-extensions for PHP. + + .. versionadded:: 2.0 + """ + + name = 'Zephir' + aliases = ['zephir'] + filenames = ['*.zep'] + + zephir_keywords = ['fetch', 'echo', 'isset', 'empty'] + zephir_type = ['bit', 'bits', 'string'] + + flags = re.DOTALL | re.MULTILINE + + tokens = { + 'commentsandwhitespace': [ + (r'\s+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline) + ], + 'slashstartsregex': [ + include('commentsandwhitespace'), + (r'/(\\.|[^[/\\\n]|\[(\\.|[^\]\\\n])*])+/' + r'([gim]+\b|\B)', String.Regex, '#pop'), + default('#pop') + ], + 'badregex': [ + (r'\n', Text, '#pop') + ], + 'root': [ + (r'^(?=\s|/|', Punctuation), + (r'"(?:\\x[0-9a-fA-F]+\\|\\u[0-9a-fA-F]{4}|\\U[0-9a-fA-F]{8}|' + r'\\[0-7]+\\|\\["\nabcefnrstv]|[^\\"])*"', String.Double), + (r"'(?:''|[^'])*'", String.Atom), # quoted atom + # Needs to not be followed by an atom. + # (r'=(?=\s|[a-zA-Z\[])', Operator), + (r'is\b', Operator), + (r'(<|>|=<|>=|==|=:=|=|/|//|\*|\+|-)(?=\s|[a-zA-Z0-9\[])', + Operator), + (r'(mod|div|not)\b', Operator), + (r'_', Keyword), # The don't-care variable + (r'([a-z]+)(:)', bygroups(Name.Namespace, Punctuation)), + (u'([a-z\u00c0-\u1fff\u3040-\ud7ff\ue000-\uffef]' + u'[\w$\u00c0-\u1fff\u3040-\ud7ff\ue000-\uffef]*)' + u'(\\s*)(:-|-->)', + bygroups(Name.Function, Text, Operator)), # function defn + (u'([a-z\u00c0-\u1fff\u3040-\ud7ff\ue000-\uffef]' + u'[\w$\u00c0-\u1fff\u3040-\ud7ff\ue000-\uffef]*)' + u'(\\s*)(\\()', + bygroups(Name.Function, Text, Punctuation)), + (u'[a-z\u00c0-\u1fff\u3040-\ud7ff\ue000-\uffef]' + u'[\w$\u00c0-\u1fff\u3040-\ud7ff\ue000-\uffef]*', + String.Atom), # atom, characters + # This one includes ! + (u'[#&*+\\-./:<=>?@\\\\^~\u00a1-\u00bf\u2010-\u303f]+', + String.Atom), # atom, graphics + (r'[A-Z_]\w*', Name.Variable), + (u'\\s+|[\u2000-\u200f\ufff0-\ufffe\uffef]', Text), + ], + 'nested-comment': [ + (r'\*/', Comment.Multiline, '#pop'), + (r'/\*', Comment.Multiline, '#push'), + (r'[^*/]+', Comment.Multiline), + (r'[*/]', Comment.Multiline), + ], + } + + def analyse_text(text): + return ':-' in text + + +class LogtalkLexer(RegexLexer): + """ + For `Logtalk `_ source code. + + .. versionadded:: 0.10 + """ + + name = 'Logtalk' + aliases = ['logtalk'] + filenames = ['*.lgt', '*.logtalk'] + mimetypes = ['text/x-logtalk'] + + tokens = { + 'root': [ + # Directives + (r'^\s*:-\s', Punctuation, 'directive'), + # Comments + (r'%.*?\n', Comment), + (r'/\*(.|\n)*?\*/', Comment), + # Whitespace + (r'\n', Text), + (r'\s+', Text), + # Numbers + (r"0'.", Number), + (r'0b[01]+', Number.Bin), + (r'0o[0-7]+', Number.Oct), + (r'0x[0-9a-fA-F]+', Number.Hex), + (r'\d+\.?\d*((e|E)(\+|-)?\d+)?', Number), + # Variables + (r'([A-Z_]\w*)', Name.Variable), + # Event handlers + (r'(after|before)(?=[(])', Keyword), + # Message forwarding handler + (r'forward(?=[(])', Keyword), + # Execution-context methods + (r'(parameter|this|se(lf|nder))(?=[(])', Keyword), + # Reflection + (r'(current_predicate|predicate_property)(?=[(])', Keyword), + # DCGs and term expansion + (r'(expand_(goal|term)|(goal|term)_expansion|phrase)(?=[(])', Keyword), + # Entity + (r'(abolish|c(reate|urrent))_(object|protocol|category)(?=[(])', Keyword), + (r'(object|protocol|category)_property(?=[(])', Keyword), + # Entity relations + (r'co(mplements_object|nforms_to_protocol)(?=[(])', Keyword), + (r'extends_(object|protocol|category)(?=[(])', Keyword), + (r'imp(lements_protocol|orts_category)(?=[(])', Keyword), + (r'(instantiat|specializ)es_class(?=[(])', Keyword), + # Events + (r'(current_event|(abolish|define)_events)(?=[(])', Keyword), + # Flags + (r'(current|set)_logtalk_flag(?=[(])', Keyword), + # Compiling, loading, and library paths + (r'logtalk_(compile|l(ibrary_path|oad|oad_context)|make)(?=[(])', Keyword), + (r'\blogtalk_make\b', Keyword), + # Database + (r'(clause|retract(all)?)(?=[(])', Keyword), + (r'a(bolish|ssert(a|z))(?=[(])', Keyword), + # Control constructs + (r'(ca(ll|tch)|throw)(?=[(])', Keyword), + (r'(fa(il|lse)|true)\b', Keyword), + # All solutions + (r'((bag|set)of|f(ind|or)all)(?=[(])', Keyword), + # Multi-threading meta-predicates + (r'threaded(_(call|once|ignore|exit|peek|wait|notify))?(?=[(])', Keyword), + # Term unification + (r'(subsumes_term|unify_with_occurs_check)(?=[(])', Keyword), + # Term creation and decomposition + (r'(functor|arg|copy_term|numbervars|term_variables)(?=[(])', Keyword), + # Evaluable functors + (r'(div|rem|m(ax|in|od)|abs|sign)(?=[(])', Keyword), + (r'float(_(integer|fractional)_part)?(?=[(])', Keyword), + (r'(floor|t(an|runcate)|round|ceiling)(?=[(])', Keyword), + # Other arithmetic functors + (r'(cos|a(cos|sin|tan|tan2)|exp|log|s(in|qrt)|xor)(?=[(])', Keyword), + # Term testing + (r'(var|atom(ic)?|integer|float|c(allable|ompound)|n(onvar|umber)|' + r'ground|acyclic_term)(?=[(])', Keyword), + # Term comparison + (r'compare(?=[(])', Keyword), + # Stream selection and control + (r'(curren|se)t_(in|out)put(?=[(])', Keyword), + (r'(open|close)(?=[(])', Keyword), + (r'flush_output(?=[(])', Keyword), + (r'(at_end_of_stream|flush_output)\b', Keyword), + (r'(stream_property|at_end_of_stream|set_stream_position)(?=[(])', Keyword), + # Character and byte input/output + (r'(nl|(get|peek|put)_(byte|c(har|ode)))(?=[(])', Keyword), + (r'\bnl\b', Keyword), + # Term input/output + (r'read(_term)?(?=[(])', Keyword), + (r'write(q|_(canonical|term))?(?=[(])', Keyword), + (r'(current_)?op(?=[(])', Keyword), + (r'(current_)?char_conversion(?=[(])', Keyword), + # Atomic term processing + (r'atom_(length|c(hars|o(ncat|des)))(?=[(])', Keyword), + (r'(char_code|sub_atom)(?=[(])', Keyword), + (r'number_c(har|ode)s(?=[(])', Keyword), + # Implementation defined hooks functions + (r'(se|curren)t_prolog_flag(?=[(])', Keyword), + (r'\bhalt\b', Keyword), + (r'halt(?=[(])', Keyword), + # Message sending operators + (r'(::|:|\^\^)', Operator), + # External call + (r'[{}]', Keyword), + # Logic and control + (r'(ignore|once)(?=[(])', Keyword), + (r'\brepeat\b', Keyword), + # Sorting + (r'(key)?sort(?=[(])', Keyword), + # Bitwise functors + (r'(>>|<<|/\\|\\\\|\\)', Operator), + # Predicate aliases + (r'\bas\b', Operator), + # Arithemtic evaluation + (r'\bis\b', Keyword), + # Arithemtic comparison + (r'(=:=|=\\=|<|=<|>=|>)', Operator), + # Term creation and decomposition + (r'=\.\.', Operator), + # Term unification + (r'(=|\\=)', Operator), + # Term comparison + (r'(==|\\==|@=<|@<|@>=|@>)', Operator), + # Evaluable functors + (r'(//|[-+*/])', Operator), + (r'\b(e|pi|div|mod|rem)\b', Operator), + # Other arithemtic functors + (r'\b\*\*\b', Operator), + # DCG rules + (r'-->', Operator), + # Control constructs + (r'([!;]|->)', Operator), + # Logic and control + (r'\\+', Operator), + # Mode operators + (r'[?@]', Operator), + # Existential quantifier + (r'\^', Operator), + # Strings + (r'"(\\\\|\\"|[^"])*"', String), + # Ponctuation + (r'[()\[\],.|]', Text), + # Atoms + (r"[a-z]\w*", Text), + (r"'", String, 'quoted_atom'), + ], + + 'quoted_atom': [ + (r"''", String), + (r"'", String, '#pop'), + (r'\\([\\abfnrtv"\']|(x[a-fA-F0-9]+|[0-7]+)\\)', String.Escape), + (r"[^\\'\n]+", String), + (r'\\', String), + ], + + 'directive': [ + # Conditional compilation directives + (r'(el)?if(?=[(])', Keyword, 'root'), + (r'(e(lse|ndif))[.]', Keyword, 'root'), + # Entity directives + (r'(category|object|protocol)(?=[(])', Keyword, 'entityrelations'), + (r'(end_(category|object|protocol))[.]', Keyword, 'root'), + # Predicate scope directives + (r'(public|protected|private)(?=[(])', Keyword, 'root'), + # Other directives + (r'e(n(coding|sure_loaded)|xport)(?=[(])', Keyword, 'root'), + (r'in(clude|itialization|fo)(?=[(])', Keyword, 'root'), + (r'(built_in|dynamic|synchronized|threaded)[.]', Keyword, 'root'), + (r'(alias|d(ynamic|iscontiguous)|m(eta_(non_terminal|predicate)|ode|ultifile)|' + r's(et_(logtalk|prolog)_flag|ynchronized))(?=[(])', Keyword, 'root'), + (r'op(?=[(])', Keyword, 'root'), + (r'(c(alls|oinductive)|module|reexport|use(s|_module))(?=[(])', Keyword, 'root'), + (r'[a-z]\w*(?=[(])', Text, 'root'), + (r'[a-z]\w*[.]', Text, 'root'), + ], + + 'entityrelations': [ + (r'(complements|extends|i(nstantiates|mp(lements|orts))|specializes)(?=[(])', Keyword), + # Numbers + (r"0'.", Number), + (r'0b[01]+', Number.Bin), + (r'0o[0-7]+', Number.Oct), + (r'0x[0-9a-fA-F]+', Number.Hex), + (r'\d+\.?\d*((e|E)(\+|-)?\d+)?', Number), + # Variables + (r'([A-Z_]\w*)', Name.Variable), + # Atoms + (r"[a-z]\w*", Text), + (r"'", String, 'quoted_atom'), + # Strings + (r'"(\\\\|\\"|[^"])*"', String), + # End of entity-opening directive + (r'([)]\.)', Text, 'root'), + # Scope operator + (r'(::)', Operator), + # Ponctuation + (r'[()\[\],.|]', Text), + # Comments + (r'%.*?\n', Comment), + (r'/\*(.|\n)*?\*/', Comment), + # Whitespace + (r'\n', Text), + (r'\s+', Text), + ] + } + + def analyse_text(text): + if ':- object(' in text: + return 1.0 + elif ':- protocol(' in text: + return 1.0 + elif ':- category(' in text: + return 1.0 + elif re.search('^:-\s[a-z]', text, re.M): + return 0.9 + else: + return 0.0 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/python.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/python.py new file mode 100644 index 0000000000000000000000000000000000000000..390eafe853a398248b6b1c0da827ba0670c0daca --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/python.py @@ -0,0 +1,939 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.python + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Python and related languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, include, bygroups, using, \ + default, words, combined, do_insertions +from pygments.util import get_bool_opt, shebang_matches +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Generic, Other, Error +from pygments import unistring as uni + +__all__ = ['PythonLexer', 'PythonConsoleLexer', 'PythonTracebackLexer', + 'Python3Lexer', 'Python3TracebackLexer', 'CythonLexer', + 'DgLexer', 'NumPyLexer'] + +line_re = re.compile('.*?\n') + + +class PythonLexer(RegexLexer): + """ + For `Python `_ source code. + """ + + name = 'Python' + aliases = ['python', 'py', 'sage'] + filenames = ['*.py', '*.pyw', '*.sc', 'SConstruct', 'SConscript', '*.tac', '*.sage'] + mimetypes = ['text/x-python', 'application/x-python'] + + def innerstring_rules(ttype): + return [ + # the old style '%s' % (...) string formatting + (r'%(\(\w+\))?[-#0 +]*([0-9]+|[*])?(\.([0-9]+|[*]))?' + '[hlL]?[E-GXc-giorsux%]', String.Interpol), + # backslashes, quotes and formatting signs must be parsed one at a time + (r'[^\\\'"%\n]+', ttype), + (r'[\'"\\]', ttype), + # unhandled string formatting sign + (r'%', ttype), + # newlines are an error (use "nl" state) + ] + + tokens = { + 'root': [ + (r'\n', Text), + (r'^(\s*)([rRuUbB]{,2})("""(?:.|\n)*?""")', + bygroups(Text, String.Affix, String.Doc)), + (r"^(\s*)([rRuUbB]{,2})('''(?:.|\n)*?''')", + bygroups(Text, String.Affix, String.Doc)), + (r'[^\S\n]+', Text), + (r'\A#!.+$', Comment.Hashbang), + (r'#.*$', Comment.Single), + (r'[]{}:(),;[]', Punctuation), + (r'\\\n', Text), + (r'\\', Text), + (r'(in|is|and|or|not)\b', Operator.Word), + (r'!=|==|<<|>>|[-~+/*%=<>&^|.]', Operator), + include('keywords'), + (r'(def)((?:\s|\\\s)+)', bygroups(Keyword, Text), 'funcname'), + (r'(class)((?:\s|\\\s)+)', bygroups(Keyword, Text), 'classname'), + (r'(from)((?:\s|\\\s)+)', bygroups(Keyword.Namespace, Text), + 'fromimport'), + (r'(import)((?:\s|\\\s)+)', bygroups(Keyword.Namespace, Text), + 'import'), + include('builtins'), + include('magicfuncs'), + include('magicvars'), + include('backtick'), + ('([rR]|[uUbB][rR]|[rR][uUbB])(""")', + bygroups(String.Affix, String.Double), 'tdqs'), + ("([rR]|[uUbB][rR]|[rR][uUbB])(''')", + bygroups(String.Affix, String.Single), 'tsqs'), + ('([rR]|[uUbB][rR]|[rR][uUbB])(")', + bygroups(String.Affix, String.Double), 'dqs'), + ("([rR]|[uUbB][rR]|[rR][uUbB])(')", + bygroups(String.Affix, String.Single), 'sqs'), + ('([uUbB]?)(""")', bygroups(String.Affix, String.Double), + combined('stringescape', 'tdqs')), + ("([uUbB]?)(''')", bygroups(String.Affix, String.Single), + combined('stringescape', 'tsqs')), + ('([uUbB]?)(")', bygroups(String.Affix, String.Double), + combined('stringescape', 'dqs')), + ("([uUbB]?)(')", bygroups(String.Affix, String.Single), + combined('stringescape', 'sqs')), + include('name'), + include('numbers'), + ], + 'keywords': [ + (words(( + 'assert', 'break', 'continue', 'del', 'elif', 'else', 'except', + 'exec', 'finally', 'for', 'global', 'if', 'lambda', 'pass', + 'print', 'raise', 'return', 'try', 'while', 'yield', + 'yield from', 'as', 'with'), suffix=r'\b'), + Keyword), + ], + 'builtins': [ + (words(( + '__import__', 'abs', 'all', 'any', 'apply', 'basestring', 'bin', + 'bool', 'buffer', 'bytearray', 'bytes', 'callable', 'chr', 'classmethod', + 'cmp', 'coerce', 'compile', 'complex', 'delattr', 'dict', 'dir', 'divmod', + 'enumerate', 'eval', 'execfile', 'exit', 'file', 'filter', 'float', + 'frozenset', 'getattr', 'globals', 'hasattr', 'hash', 'hex', 'id', + 'input', 'int', 'intern', 'isinstance', 'issubclass', 'iter', 'len', + 'list', 'locals', 'long', 'map', 'max', 'min', 'next', 'object', + 'oct', 'open', 'ord', 'pow', 'property', 'range', 'raw_input', 'reduce', + 'reload', 'repr', 'reversed', 'round', 'set', 'setattr', 'slice', + 'sorted', 'staticmethod', 'str', 'sum', 'super', 'tuple', 'type', + 'unichr', 'unicode', 'vars', 'xrange', 'zip'), + prefix=r'(?`_ source code (version 3.0). + + .. versionadded:: 0.10 + """ + + name = 'Python 3' + aliases = ['python3', 'py3'] + filenames = [] # Nothing until Python 3 gets widespread + mimetypes = ['text/x-python3', 'application/x-python3'] + + flags = re.MULTILINE | re.UNICODE + + uni_name = "[%s][%s]*" % (uni.xid_start, uni.xid_continue) + + def innerstring_rules(ttype): + return [ + # the old style '%s' % (...) string formatting (still valid in Py3) + (r'%(\(\w+\))?[-#0 +]*([0-9]+|[*])?(\.([0-9]+|[*]))?' + '[hlL]?[E-GXc-giorsux%]', String.Interpol), + # the new style '{}'.format(...) string formatting + (r'\{' + '((\w+)((\.\w+)|(\[[^\]]+\]))*)?' # field name + '(\![sra])?' # conversion + '(\:(.?[<>=\^])?[-+ ]?#?0?(\d+)?,?(\.\d+)?[E-GXb-gnosx%]?)?' + '\}', String.Interpol), + + # backslashes, quotes and formatting signs must be parsed one at a time + (r'[^\\\'"%{\n]+', ttype), + (r'[\'"\\]', ttype), + # unhandled string formatting sign + (r'%|(\{{1,2})', ttype) + # newlines are an error (use "nl" state) + ] + + tokens = PythonLexer.tokens.copy() + tokens['keywords'] = [ + (words(( + 'assert', 'async', 'await', 'break', 'continue', 'del', 'elif', + 'else', 'except', 'finally', 'for', 'global', 'if', 'lambda', 'pass', + 'raise', 'nonlocal', 'return', 'try', 'while', 'yield', 'yield from', + 'as', 'with'), suffix=r'\b'), + Keyword), + (words(( + 'True', 'False', 'None'), suffix=r'\b'), + Keyword.Constant), + ] + tokens['builtins'] = [ + (words(( + '__import__', 'abs', 'all', 'any', 'bin', 'bool', 'bytearray', 'bytes', + 'chr', 'classmethod', 'cmp', 'compile', 'complex', 'delattr', 'dict', + 'dir', 'divmod', 'enumerate', 'eval', 'filter', 'float', 'format', + 'frozenset', 'getattr', 'globals', 'hasattr', 'hash', 'hex', 'id', + 'input', 'int', 'isinstance', 'issubclass', 'iter', 'len', 'list', + 'locals', 'map', 'max', 'memoryview', 'min', 'next', 'object', 'oct', + 'open', 'ord', 'pow', 'print', 'property', 'range', 'repr', 'reversed', + 'round', 'set', 'setattr', 'slice', 'sorted', 'staticmethod', 'str', + 'sum', 'super', 'tuple', 'type', 'vars', 'zip'), prefix=r'(?>> a = 'foo' + >>> print a + foo + >>> 1 / 0 + Traceback (most recent call last): + File "", line 1, in + ZeroDivisionError: integer division or modulo by zero + + Additional options: + + `python3` + Use Python 3 lexer for code. Default is ``False``. + + .. versionadded:: 1.0 + """ + name = 'Python console session' + aliases = ['pycon'] + mimetypes = ['text/x-python-doctest'] + + def __init__(self, **options): + self.python3 = get_bool_opt(options, 'python3', False) + Lexer.__init__(self, **options) + + def get_tokens_unprocessed(self, text): + if self.python3: + pylexer = Python3Lexer(**self.options) + tblexer = Python3TracebackLexer(**self.options) + else: + pylexer = PythonLexer(**self.options) + tblexer = PythonTracebackLexer(**self.options) + + curcode = '' + insertions = [] + curtb = '' + tbindex = 0 + tb = 0 + for match in line_re.finditer(text): + line = match.group() + if line.startswith(u'>>> ') or line.startswith(u'... '): + tb = 0 + insertions.append((len(curcode), + [(0, Generic.Prompt, line[:4])])) + curcode += line[4:] + elif line.rstrip() == u'...' and not tb: + # only a new >>> prompt can end an exception block + # otherwise an ellipsis in place of the traceback frames + # will be mishandled + insertions.append((len(curcode), + [(0, Generic.Prompt, u'...')])) + curcode += line[3:] + else: + if curcode: + for item in do_insertions( + insertions, pylexer.get_tokens_unprocessed(curcode)): + yield item + curcode = '' + insertions = [] + if (line.startswith(u'Traceback (most recent call last):') or + re.match(u' File "[^"]+", line \\d+\\n$', line)): + tb = 1 + curtb = line + tbindex = match.start() + elif line == 'KeyboardInterrupt\n': + yield match.start(), Name.Class, line + elif tb: + curtb += line + if not (line.startswith(' ') or line.strip() == u'...'): + tb = 0 + for i, t, v in tblexer.get_tokens_unprocessed(curtb): + yield tbindex+i, t, v + curtb = '' + else: + yield match.start(), Generic.Output, line + if curcode: + for item in do_insertions(insertions, + pylexer.get_tokens_unprocessed(curcode)): + yield item + if curtb: + for i, t, v in tblexer.get_tokens_unprocessed(curtb): + yield tbindex+i, t, v + + +class PythonTracebackLexer(RegexLexer): + """ + For Python tracebacks. + + .. versionadded:: 0.7 + """ + + name = 'Python Traceback' + aliases = ['pytb'] + filenames = ['*.pytb'] + mimetypes = ['text/x-python-traceback'] + + tokens = { + 'root': [ + # Cover both (most recent call last) and (innermost last) + # The optional ^C allows us to catch keyboard interrupt signals. + (r'^(\^C)?(Traceback.*\n)', + bygroups(Text, Generic.Traceback), 'intb'), + # SyntaxError starts with this. + (r'^(?= File "[^"]+", line \d+)', Generic.Traceback, 'intb'), + (r'^.*\n', Other), + ], + 'intb': [ + (r'^( File )("[^"]+")(, line )(\d+)(, in )(.+)(\n)', + bygroups(Text, Name.Builtin, Text, Number, Text, Name, Text)), + (r'^( File )("[^"]+")(, line )(\d+)(\n)', + bygroups(Text, Name.Builtin, Text, Number, Text)), + (r'^( )(.+)(\n)', + bygroups(Text, using(PythonLexer), Text)), + (r'^([ \t]*)(\.\.\.)(\n)', + bygroups(Text, Comment, Text)), # for doctests... + (r'^([^:]+)(: )(.+)(\n)', + bygroups(Generic.Error, Text, Name, Text), '#pop'), + (r'^([a-zA-Z_]\w*)(:?\n)', + bygroups(Generic.Error, Text), '#pop') + ], + } + + +class Python3TracebackLexer(RegexLexer): + """ + For Python 3.0 tracebacks, with support for chained exceptions. + + .. versionadded:: 1.0 + """ + + name = 'Python 3.0 Traceback' + aliases = ['py3tb'] + filenames = ['*.py3tb'] + mimetypes = ['text/x-python3-traceback'] + + tokens = { + 'root': [ + (r'\n', Text), + (r'^Traceback \(most recent call last\):\n', Generic.Traceback, 'intb'), + (r'^During handling of the above exception, another ' + r'exception occurred:\n\n', Generic.Traceback), + (r'^The above exception was the direct cause of the ' + r'following exception:\n\n', Generic.Traceback), + (r'^(?= File "[^"]+", line \d+)', Generic.Traceback, 'intb'), + ], + 'intb': [ + (r'^( File )("[^"]+")(, line )(\d+)(, in )(.+)(\n)', + bygroups(Text, Name.Builtin, Text, Number, Text, Name, Text)), + (r'^( File )("[^"]+")(, line )(\d+)(\n)', + bygroups(Text, Name.Builtin, Text, Number, Text)), + (r'^( )(.+)(\n)', + bygroups(Text, using(Python3Lexer), Text)), + (r'^([ \t]*)(\.\.\.)(\n)', + bygroups(Text, Comment, Text)), # for doctests... + (r'^([^:]+)(: )(.+)(\n)', + bygroups(Generic.Error, Text, Name, Text), '#pop'), + (r'^([a-zA-Z_]\w*)(:?\n)', + bygroups(Generic.Error, Text), '#pop') + ], + } + + +class CythonLexer(RegexLexer): + """ + For Pyrex and `Cython `_ source code. + + .. versionadded:: 1.1 + """ + + name = 'Cython' + aliases = ['cython', 'pyx', 'pyrex'] + filenames = ['*.pyx', '*.pxd', '*.pxi'] + mimetypes = ['text/x-cython', 'application/x-cython'] + + tokens = { + 'root': [ + (r'\n', Text), + (r'^(\s*)("""(?:.|\n)*?""")', bygroups(Text, String.Doc)), + (r"^(\s*)('''(?:.|\n)*?''')", bygroups(Text, String.Doc)), + (r'[^\S\n]+', Text), + (r'#.*$', Comment), + (r'[]{}:(),;[]', Punctuation), + (r'\\\n', Text), + (r'\\', Text), + (r'(in|is|and|or|not)\b', Operator.Word), + (r'(<)([a-zA-Z0-9.?]+)(>)', + bygroups(Punctuation, Keyword.Type, Punctuation)), + (r'!=|==|<<|>>|[-~+/*%=<>&^|.?]', Operator), + (r'(from)(\d+)(<=)(\s+)(<)(\d+)(:)', + bygroups(Keyword, Number.Integer, Operator, Name, Operator, + Name, Punctuation)), + include('keywords'), + (r'(def|property)(\s+)', bygroups(Keyword, Text), 'funcname'), + (r'(cp?def)(\s+)', bygroups(Keyword, Text), 'cdef'), + # (should actually start a block with only cdefs) + (r'(cdef)(:)', bygroups(Keyword, Punctuation)), + (r'(class|struct)(\s+)', bygroups(Keyword, Text), 'classname'), + (r'(from)(\s+)', bygroups(Keyword, Text), 'fromimport'), + (r'(c?import)(\s+)', bygroups(Keyword, Text), 'import'), + include('builtins'), + include('backtick'), + ('(?:[rR]|[uU][rR]|[rR][uU])"""', String, 'tdqs'), + ("(?:[rR]|[uU][rR]|[rR][uU])'''", String, 'tsqs'), + ('(?:[rR]|[uU][rR]|[rR][uU])"', String, 'dqs'), + ("(?:[rR]|[uU][rR]|[rR][uU])'", String, 'sqs'), + ('[uU]?"""', String, combined('stringescape', 'tdqs')), + ("[uU]?'''", String, combined('stringescape', 'tsqs')), + ('[uU]?"', String, combined('stringescape', 'dqs')), + ("[uU]?'", String, combined('stringescape', 'sqs')), + include('name'), + include('numbers'), + ], + 'keywords': [ + (words(( + 'assert', 'break', 'by', 'continue', 'ctypedef', 'del', 'elif', + 'else', 'except', 'except?', 'exec', 'finally', 'for', 'fused', 'gil', + 'global', 'if', 'include', 'lambda', 'nogil', 'pass', 'print', + 'raise', 'return', 'try', 'while', 'yield', 'as', 'with'), suffix=r'\b'), + Keyword), + (r'(DEF|IF|ELIF|ELSE)\b', Comment.Preproc), + ], + 'builtins': [ + (words(( + '__import__', 'abs', 'all', 'any', 'apply', 'basestring', 'bin', + 'bool', 'buffer', 'bytearray', 'bytes', 'callable', 'chr', + 'classmethod', 'cmp', 'coerce', 'compile', 'complex', 'delattr', + 'dict', 'dir', 'divmod', 'enumerate', 'eval', 'execfile', 'exit', + 'file', 'filter', 'float', 'frozenset', 'getattr', 'globals', + 'hasattr', 'hash', 'hex', 'id', 'input', 'int', 'intern', 'isinstance', + 'issubclass', 'iter', 'len', 'list', 'locals', 'long', 'map', 'max', + 'min', 'next', 'object', 'oct', 'open', 'ord', 'pow', 'property', + 'range', 'raw_input', 'reduce', 'reload', 'repr', 'reversed', + 'round', 'set', 'setattr', 'slice', 'sorted', 'staticmethod', + 'str', 'sum', 'super', 'tuple', 'type', 'unichr', 'unicode', 'unsigned', + 'vars', 'xrange', 'zip'), prefix=r'(?`_, + a functional and object-oriented programming language + running on the CPython 3 VM. + + .. versionadded:: 1.6 + """ + name = 'dg' + aliases = ['dg'] + filenames = ['*.dg'] + mimetypes = ['text/x-dg'] + + tokens = { + 'root': [ + (r'\s+', Text), + (r'#.*?$', Comment.Single), + + (r'(?i)0b[01]+', Number.Bin), + (r'(?i)0o[0-7]+', Number.Oct), + (r'(?i)0x[0-9a-f]+', Number.Hex), + (r'(?i)[+-]?[0-9]+\.[0-9]+(e[+-]?[0-9]+)?j?', Number.Float), + (r'(?i)[+-]?[0-9]+e[+-]?\d+j?', Number.Float), + (r'(?i)[+-]?[0-9]+j?', Number.Integer), + + (r"(?i)(br|r?b?)'''", String, combined('stringescape', 'tsqs', 'string')), + (r'(?i)(br|r?b?)"""', String, combined('stringescape', 'tdqs', 'string')), + (r"(?i)(br|r?b?)'", String, combined('stringescape', 'sqs', 'string')), + (r'(?i)(br|r?b?)"', String, combined('stringescape', 'dqs', 'string')), + + (r"`\w+'*`", Operator), + (r'\b(and|in|is|or|where)\b', Operator.Word), + (r'[!$%&*+\-./:<-@\\^|~;,]+', Operator), + + (words(( + 'bool', 'bytearray', 'bytes', 'classmethod', 'complex', 'dict', 'dict\'', + 'float', 'frozenset', 'int', 'list', 'list\'', 'memoryview', 'object', + 'property', 'range', 'set', 'set\'', 'slice', 'staticmethod', 'str', + 'super', 'tuple', 'tuple\'', 'type'), + prefix=r'(?`_. + + Reference for implementing this: «Meta Object Facility (MOF) 2.0 + Query/View/Transformation Specification», Version 1.1 - January 2011 + (http://www.omg.org/spec/QVT/1.1/), see §8.4, «Concrete Syntax» in + particular. + + Notable tokens assignments: + + - Name.Class is assigned to the identifier following any of the following + keywords: metamodel, class, exception, primitive, enum, transformation + or library + + - Name.Function is assigned to the names of mappings and queries + + - Name.Builtin.Pseudo is assigned to the pre-defined variables 'this', + 'self' and 'result'. + """ + # With obvious borrowings & inspiration from the Java, Python and C lexers + + name = 'QVTO' + aliases = ['qvto', 'qvt'] + filenames = ['*.qvto'] + + tokens = { + 'root': [ + (r'\n', Text), + (r'[^\S\n]+', Text), + (r'(--|//)(\s*)(directive:)?(.*)$', + bygroups(Comment, Comment, Comment.Preproc, Comment)), + # Uncomment the following if you want to distinguish between + # '/*' and '/**', à la javadoc + # (r'/[*]{2}(.|\n)*?[*]/', Comment.Multiline), + (r'/[*](.|\n)*?[*]/', Comment.Multiline), + (r'\\\n', Text), + (r'(and|not|or|xor|##?)\b', Operator.Word), + (r'(:{1,2}=|[-+]=)\b', Operator.Word), + (r'(@|<<|>>)\b', Keyword), # stereotypes + (r'!=|<>|==|=|!->|->|>=|<=|[.]{3}|[+/*%=<>&|.~]', Operator), + (r'[]{}:(),;[]', Punctuation), + (r'(true|false|unlimited|null)\b', Keyword.Constant), + (r'(this|self|result)\b', Name.Builtin.Pseudo), + (r'(var)\b', Keyword.Declaration), + (r'(from|import)\b', Keyword.Namespace, 'fromimport'), + (r'(metamodel|class|exception|primitive|enum|transformation|' + r'library)(\s+)(\w+)', + bygroups(Keyword.Word, Text, Name.Class)), + (r'(exception)(\s+)(\w+)', + bygroups(Keyword.Word, Text, Name.Exception)), + (r'(main)\b', Name.Function), + (r'(mapping|helper|query)(\s+)', + bygroups(Keyword.Declaration, Text), 'operation'), + (r'(assert)(\s+)\b', bygroups(Keyword, Text), 'assert'), + (r'(Bag|Collection|Dict|OrderedSet|Sequence|Set|Tuple|List)\b', + Keyword.Type), + include('keywords'), + ('"', String, combined('stringescape', 'dqs')), + ("'", String, combined('stringescape', 'sqs')), + include('name'), + include('numbers'), + # (r'([a-zA-Z_]\w*)(::)([a-zA-Z_]\w*)', + # bygroups(Text, Text, Text)), + ], + + 'fromimport': [ + (r'(?:[ \t]|\\\n)+', Text), + (r'[a-zA-Z_][\w.]*', Name.Namespace), + default('#pop'), + ], + + 'operation': [ + (r'::', Text), + (r'(.*::)([a-zA-Z_]\w*)([ \t]*)(\()', + bygroups(Text, Name.Function, Text, Punctuation), '#pop') + ], + + 'assert': [ + (r'(warning|error|fatal)\b', Keyword, '#pop'), + default('#pop'), # all else: go back + ], + + 'keywords': [ + (words(( + 'abstract', 'access', 'any', 'assert', 'blackbox', 'break', + 'case', 'collect', 'collectNested', 'collectOne', 'collectselect', + 'collectselectOne', 'composes', 'compute', 'configuration', + 'constructor', 'continue', 'datatype', 'default', 'derived', + 'disjuncts', 'do', 'elif', 'else', 'end', 'endif', 'except', + 'exists', 'extends', 'forAll', 'forEach', 'forOne', 'from', 'if', + 'implies', 'in', 'inherits', 'init', 'inout', 'intermediate', + 'invresolve', 'invresolveIn', 'invresolveone', 'invresolveoneIn', + 'isUnique', 'iterate', 'late', 'let', 'literal', 'log', 'map', + 'merges', 'modeltype', 'new', 'object', 'one', 'ordered', 'out', + 'package', 'population', 'property', 'raise', 'readonly', + 'references', 'refines', 'reject', 'resolve', 'resolveIn', + 'resolveone', 'resolveoneIn', 'return', 'select', 'selectOne', + 'sortedBy', 'static', 'switch', 'tag', 'then', 'try', 'typedef', + 'unlimited', 'uses', 'when', 'where', 'while', 'with', 'xcollect', + 'xmap', 'xselect'), suffix=r'\b'), Keyword), + ], + + # There is no need to distinguish between String.Single and + # String.Double: 'strings' is factorised for 'dqs' and 'sqs' + 'strings': [ + (r'[^\\\'"\n]+', String), + # quotes, percents and backslashes must be parsed one at a time + (r'[\'"\\]', String), + ], + 'stringescape': [ + (r'\\([\\btnfr"\']|u[0-3][0-7]{2}|u[0-7]{1,2})', String.Escape) + ], + 'dqs': [ # double-quoted string + (r'"', String, '#pop'), + (r'\\\\|\\"', String.Escape), + include('strings') + ], + 'sqs': [ # single-quoted string + (r"'", String, '#pop'), + (r"\\\\|\\'", String.Escape), + include('strings') + ], + 'name': [ + ('[a-zA-Z_]\w*', Name), + ], + # numbers: excerpt taken from the python lexer + 'numbers': [ + (r'(\d+\.\d*|\d*\.\d+)([eE][+-]?[0-9]+)?', Number.Float), + (r'\d+[eE][+-]?[0-9]+', Number.Float), + (r'\d+', Number.Integer) + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/r.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/r.py new file mode 100644 index 0000000000000000000000000000000000000000..dce6196943ab17dac8ba92e0340ee1718d3b5f09 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/r.py @@ -0,0 +1,453 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.r + ~~~~~~~~~~~~~~~~~ + + Lexers for the R/S languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, include, words, do_insertions +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Generic + +__all__ = ['RConsoleLexer', 'SLexer', 'RdLexer'] + + +line_re = re.compile('.*?\n') + + +class RConsoleLexer(Lexer): + """ + For R console transcripts or R CMD BATCH output files. + """ + + name = 'RConsole' + aliases = ['rconsole', 'rout'] + filenames = ['*.Rout'] + + def get_tokens_unprocessed(self, text): + slexer = SLexer(**self.options) + + current_code_block = '' + insertions = [] + + for match in line_re.finditer(text): + line = match.group() + if line.startswith('>') or line.startswith('+'): + # Colorize the prompt as such, + # then put rest of line into current_code_block + insertions.append((len(current_code_block), + [(0, Generic.Prompt, line[:2])])) + current_code_block += line[2:] + else: + # We have reached a non-prompt line! + # If we have stored prompt lines, need to process them first. + if current_code_block: + # Weave together the prompts and highlight code. + for item in do_insertions( + insertions, slexer.get_tokens_unprocessed(current_code_block)): + yield item + # Reset vars for next code block. + current_code_block = '' + insertions = [] + # Now process the actual line itself, this is output from R. + yield match.start(), Generic.Output, line + + # If we happen to end on a code block with nothing after it, need to + # process the last code block. This is neither elegant nor DRY so + # should be changed. + if current_code_block: + for item in do_insertions( + insertions, slexer.get_tokens_unprocessed(current_code_block)): + yield item + + +class SLexer(RegexLexer): + """ + For S, S-plus, and R source code. + + .. versionadded:: 0.10 + """ + + name = 'S' + aliases = ['splus', 's', 'r'] + filenames = ['*.S', '*.R', '.Rhistory', '.Rprofile', '.Renviron'] + mimetypes = ['text/S-plus', 'text/S', 'text/x-r-source', 'text/x-r', + 'text/x-R', 'text/x-r-history', 'text/x-r-profile'] + + builtins_base = ( + 'Arg', 'Conj', 'Cstack_info', 'Encoding', 'FALSE', + 'Filter', 'Find', 'I', 'ISOdate', 'ISOdatetime', 'Im', 'Inf', + 'La.svd', 'Map', 'Math.Date', 'Math.POSIXt', 'Math.data.frame', + 'Math.difftime', 'Math.factor', 'Mod', 'NA_character_', + 'NA_complex_', 'NA_real_', 'NCOL', 'NROW', 'NULLNA_integer_', 'NaN', + 'Negate', 'NextMethod', 'Ops.Date', 'Ops.POSIXt', 'Ops.data.frame', + 'Ops.difftime', 'Ops.factor', 'Ops.numeric_version', 'Ops.ordered', + 'Position', 'R.Version', 'R.home', 'R.version', 'R.version.string', + 'RNGkind', 'RNGversion', 'R_system_version', 'Re', 'Recall', + 'Reduce', 'Summary.Date', 'Summary.POSIXct', 'Summary.POSIXlt', + 'Summary.data.frame', 'Summary.difftime', 'Summary.factor', + 'Summary.numeric_version', 'Summary.ordered', 'Sys.Date', + 'Sys.chmod', 'Sys.getenv', 'Sys.getlocale', 'Sys.getpid', + 'Sys.glob', 'Sys.info', 'Sys.localeconv', 'Sys.readlink', + 'Sys.setFileTime', 'Sys.setenv', 'Sys.setlocale', 'Sys.sleep', + 'Sys.time', 'Sys.timezone', 'Sys.umask', 'Sys.unsetenv', + 'Sys.which', 'TRUE', 'UseMethod', 'Vectorize', 'abbreviate', 'abs', + 'acos', 'acosh', 'addNA', 'addTaskCallback', 'agrep', 'alist', + 'all', 'all.equal', 'all.equal.POSIXct', 'all.equal.character', + 'all.equal.default', 'all.equal.factor', 'all.equal.formula', + 'all.equal.language', 'all.equal.list', 'all.equal.numeric', + 'all.equal.raw', 'all.names', 'all.vars', 'any', 'anyDuplicated', + 'anyDuplicated.array', 'anyDuplicated.data.frame', + 'anyDuplicated.default', 'anyDuplicated.matrix', 'aperm', + 'aperm.default', 'aperm.table', 'append', 'apply', 'args', + 'arrayInd', 'as.Date', 'as.Date.POSIXct', 'as.Date.POSIXlt', + 'as.Date.character', 'as.Date.date', 'as.Date.dates', + 'as.Date.default', 'as.Date.factor', 'as.Date.numeric', + 'as.POSIXct', 'as.POSIXct.Date', 'as.POSIXct.POSIXlt', + 'as.POSIXct.date', 'as.POSIXct.dates', 'as.POSIXct.default', + 'as.POSIXct.numeric', 'as.POSIXlt', 'as.POSIXlt.Date', + 'as.POSIXlt.POSIXct', 'as.POSIXlt.character', 'as.POSIXlt.date', + 'as.POSIXlt.dates', 'as.POSIXlt.default', 'as.POSIXlt.factor', + 'as.POSIXlt.numeric', 'as.array', 'as.array.default', 'as.call', + 'as.character', 'as.character.Date', 'as.character.POSIXt', + 'as.character.condition', 'as.character.default', + 'as.character.error', 'as.character.factor', 'as.character.hexmode', + 'as.character.numeric_version', 'as.character.octmode', + 'as.character.srcref', 'as.complex', 'as.data.frame', + 'as.data.frame.AsIs', 'as.data.frame.Date', 'as.data.frame.POSIXct', + 'as.data.frame.POSIXlt', 'as.data.frame.array', + 'as.data.frame.character', 'as.data.frame.complex', + 'as.data.frame.data.frame', 'as.data.frame.default', + 'as.data.frame.difftime', 'as.data.frame.factor', + 'as.data.frame.integer', 'as.data.frame.list', + 'as.data.frame.logical', 'as.data.frame.matrix', + 'as.data.frame.model.matrix', 'as.data.frame.numeric', + 'as.data.frame.numeric_version', 'as.data.frame.ordered', + 'as.data.frame.raw', 'as.data.frame.table', 'as.data.frame.ts', + 'as.data.frame.vector', 'as.difftime', 'as.double', + 'as.double.POSIXlt', 'as.double.difftime', 'as.environment', + 'as.expression', 'as.expression.default', 'as.factor', + 'as.function', 'as.function.default', 'as.hexmode', 'as.integer', + 'as.list', 'as.list.Date', 'as.list.POSIXct', 'as.list.data.frame', + 'as.list.default', 'as.list.environment', 'as.list.factor', + 'as.list.function', 'as.list.numeric_version', 'as.logical', + 'as.logical.factor', 'as.matrix', 'as.matrix.POSIXlt', + 'as.matrix.data.frame', 'as.matrix.default', 'as.matrix.noquote', + 'as.name', 'as.null', 'as.null.default', 'as.numeric', + 'as.numeric_version', 'as.octmode', 'as.ordered', + 'as.package_version', 'as.pairlist', 'as.qr', 'as.raw', 'as.single', + 'as.single.default', 'as.symbol', 'as.table', 'as.table.default', + 'as.vector', 'as.vector.factor', 'asNamespace', 'asS3', 'asS4', + 'asin', 'asinh', 'assign', 'atan', 'atan2', 'atanh', + 'attachNamespace', 'attr', 'attr.all.equal', 'attributes', + 'autoload', 'autoloader', 'backsolve', 'baseenv', 'basename', + 'besselI', 'besselJ', 'besselK', 'besselY', 'beta', + 'bindingIsActive', 'bindingIsLocked', 'bindtextdomain', 'bitwAnd', + 'bitwNot', 'bitwOr', 'bitwShiftL', 'bitwShiftR', 'bitwXor', 'body', + 'bquote', 'browser', 'browserCondition', 'browserSetDebug', + 'browserText', 'builtins', 'by', 'by.data.frame', 'by.default', + 'bzfile', 'c.Date', 'c.POSIXct', 'c.POSIXlt', 'c.noquote', + 'c.numeric_version', 'call', 'callCC', 'capabilities', 'casefold', + 'cat', 'category', 'cbind', 'cbind.data.frame', 'ceiling', + 'char.expand', 'charToRaw', 'charmatch', 'chartr', 'check_tzones', + 'chol', 'chol.default', 'chol2inv', 'choose', 'class', + 'clearPushBack', 'close', 'close.connection', 'close.srcfile', + 'close.srcfilealias', 'closeAllConnections', 'col', 'colMeans', + 'colSums', 'colnames', 'commandArgs', 'comment', 'computeRestarts', + 'conditionCall', 'conditionCall.condition', 'conditionMessage', + 'conditionMessage.condition', 'conflicts', 'contributors', 'cos', + 'cosh', 'crossprod', 'cummax', 'cummin', 'cumprod', 'cumsum', 'cut', + 'cut.Date', 'cut.POSIXt', 'cut.default', 'dQuote', 'data.class', + 'data.matrix', 'date', 'debug', 'debugonce', + 'default.stringsAsFactors', 'delayedAssign', 'deparse', 'det', + 'determinant', 'determinant.matrix', 'dget', 'diag', 'diff', + 'diff.Date', 'diff.POSIXt', 'diff.default', 'difftime', 'digamma', + 'dim', 'dim.data.frame', 'dimnames', 'dimnames.data.frame', 'dir', + 'dir.create', 'dirname', 'do.call', 'dput', 'drop', 'droplevels', + 'droplevels.data.frame', 'droplevels.factor', 'dump', 'duplicated', + 'duplicated.POSIXlt', 'duplicated.array', 'duplicated.data.frame', + 'duplicated.default', 'duplicated.matrix', + 'duplicated.numeric_version', 'dyn.load', 'dyn.unload', 'eapply', + 'eigen', 'else', 'emptyenv', 'enc2native', 'enc2utf8', + 'encodeString', 'enquote', 'env.profile', 'environment', + 'environmentIsLocked', 'environmentName', 'eval', 'eval.parent', + 'evalq', 'exists', 'exp', 'expand.grid', 'expm1', 'expression', + 'factor', 'factorial', 'fifo', 'file', 'file.access', 'file.append', + 'file.choose', 'file.copy', 'file.create', 'file.exists', + 'file.info', 'file.link', 'file.path', 'file.remove', 'file.rename', + 'file.show', 'file.symlink', 'find.package', 'findInterval', + 'findPackageEnv', 'findRestart', 'floor', 'flush', + 'flush.connection', 'force', 'formals', 'format', + 'format.AsIs', 'format.Date', 'format.POSIXct', 'format.POSIXlt', + 'format.data.frame', 'format.default', 'format.difftime', + 'format.factor', 'format.hexmode', 'format.info', + 'format.libraryIQR', 'format.numeric_version', 'format.octmode', + 'format.packageInfo', 'format.pval', 'format.summaryDefault', + 'formatC', 'formatDL', 'forwardsolve', 'gamma', 'gc', 'gc.time', + 'gcinfo', 'gctorture', 'gctorture2', 'get', 'getAllConnections', + 'getCallingDLL', 'getCallingDLLe', 'getConnection', + 'getDLLRegisteredRoutines', 'getDLLRegisteredRoutines.DLLInfo', + 'getDLLRegisteredRoutines.character', 'getElement', + 'getExportedValue', 'getHook', 'getLoadedDLLs', 'getNamespace', + 'getNamespaceExports', 'getNamespaceImports', 'getNamespaceInfo', + 'getNamespaceName', 'getNamespaceUsers', 'getNamespaceVersion', + 'getNativeSymbolInfo', 'getOption', 'getRversion', 'getSrcLines', + 'getTaskCallbackNames', 'geterrmessage', 'gettext', 'gettextf', + 'getwd', 'gl', 'globalenv', 'gregexpr', 'grep', 'grepRaw', 'grepl', + 'gsub', 'gzcon', 'gzfile', 'head', 'iconv', 'iconvlist', + 'icuSetCollate', 'identical', 'identity', 'ifelse', 'importIntoEnv', + 'in', 'inherits', 'intToBits', 'intToUtf8', 'interaction', 'interactive', + 'intersect', 'inverse.rle', 'invisible', 'invokeRestart', + 'invokeRestartInteractively', 'is.R', 'is.array', 'is.atomic', + 'is.call', 'is.character', 'is.complex', 'is.data.frame', + 'is.double', 'is.element', 'is.environment', 'is.expression', + 'is.factor', 'is.finite', 'is.function', 'is.infinite', + 'is.integer', 'is.language', 'is.list', 'is.loaded', 'is.logical', + 'is.matrix', 'is.na', 'is.na.POSIXlt', 'is.na.data.frame', + 'is.na.numeric_version', 'is.name', 'is.nan', 'is.null', + 'is.numeric', 'is.numeric.Date', 'is.numeric.POSIXt', + 'is.numeric.difftime', 'is.numeric_version', 'is.object', + 'is.ordered', 'is.package_version', 'is.pairlist', 'is.primitive', + 'is.qr', 'is.raw', 'is.recursive', 'is.single', 'is.symbol', + 'is.table', 'is.unsorted', 'is.vector', 'isBaseNamespace', + 'isIncomplete', 'isNamespace', 'isOpen', 'isRestart', 'isS4', + 'isSeekable', 'isSymmetric', 'isSymmetric.matrix', 'isTRUE', + 'isatty', 'isdebugged', 'jitter', 'julian', 'julian.Date', + 'julian.POSIXt', 'kappa', 'kappa.default', 'kappa.lm', 'kappa.qr', + 'kronecker', 'l10n_info', 'labels', 'labels.default', 'lapply', + 'lazyLoad', 'lazyLoadDBexec', 'lazyLoadDBfetch', 'lbeta', 'lchoose', + 'length', 'length.POSIXlt', 'letters', 'levels', 'levels.default', + 'lfactorial', 'lgamma', 'library.dynam', 'library.dynam.unload', + 'licence', 'license', 'list.dirs', 'list.files', 'list2env', 'load', + 'loadNamespace', 'loadedNamespaces', 'loadingNamespaceInfo', + 'local', 'lockBinding', 'lockEnvironment', 'log', 'log10', 'log1p', + 'log2', 'logb', 'lower.tri', 'ls', 'make.names', 'make.unique', + 'makeActiveBinding', 'mapply', 'margin.table', 'mat.or.vec', + 'match', 'match.arg', 'match.call', 'match.fun', 'max', 'max.col', + 'mean', 'mean.Date', 'mean.POSIXct', 'mean.POSIXlt', 'mean.default', + 'mean.difftime', 'mem.limits', 'memCompress', 'memDecompress', + 'memory.profile', 'merge', 'merge.data.frame', 'merge.default', + 'message', 'mget', 'min', 'missing', 'mode', 'month.abb', + 'month.name', 'months', 'months.Date', 'months.POSIXt', + 'months.abb', 'months.nameletters', 'names', 'names.POSIXlt', + 'namespaceExport', 'namespaceImport', 'namespaceImportClasses', + 'namespaceImportFrom', 'namespaceImportMethods', 'nargs', 'nchar', + 'ncol', 'new.env', 'ngettext', 'nlevels', 'noquote', 'norm', + 'normalizePath', 'nrow', 'numeric_version', 'nzchar', 'objects', + 'oldClass', 'on.exit', 'open', 'open.connection', 'open.srcfile', + 'open.srcfilealias', 'open.srcfilecopy', 'options', 'order', + 'ordered', 'outer', 'packBits', 'packageEvent', + 'packageHasNamespace', 'packageStartupMessage', 'package_version', + 'pairlist', 'parent.env', 'parent.frame', 'parse', + 'parseNamespaceFile', 'paste', 'paste0', 'path.expand', + 'path.package', 'pipe', 'pmatch', 'pmax', 'pmax.int', 'pmin', + 'pmin.int', 'polyroot', 'pos.to.env', 'pretty', 'pretty.default', + 'prettyNum', 'print', 'print.AsIs', 'print.DLLInfo', + 'print.DLLInfoList', 'print.DLLRegisteredRoutines', 'print.Date', + 'print.NativeRoutineList', 'print.POSIXct', 'print.POSIXlt', + 'print.by', 'print.condition', 'print.connection', + 'print.data.frame', 'print.default', 'print.difftime', + 'print.factor', 'print.function', 'print.hexmode', + 'print.libraryIQR', 'print.listof', 'print.noquote', + 'print.numeric_version', 'print.octmode', 'print.packageInfo', + 'print.proc_time', 'print.restart', 'print.rle', + 'print.simple.list', 'print.srcfile', 'print.srcref', + 'print.summary.table', 'print.summaryDefault', 'print.table', + 'print.warnings', 'prmatrix', 'proc.time', 'prod', 'prop.table', + 'provideDimnames', 'psigamma', 'pushBack', 'pushBackLength', 'q', + 'qr', 'qr.Q', 'qr.R', 'qr.X', 'qr.coef', 'qr.default', 'qr.fitted', + 'qr.qty', 'qr.qy', 'qr.resid', 'qr.solve', 'quarters', + 'quarters.Date', 'quarters.POSIXt', 'quit', 'quote', 'range', + 'range.default', 'rank', 'rapply', 'raw', 'rawConnection', + 'rawConnectionValue', 'rawShift', 'rawToBits', 'rawToChar', 'rbind', + 'rbind.data.frame', 'rcond', 'read.dcf', 'readBin', 'readChar', + 'readLines', 'readRDS', 'readRenviron', 'readline', 'reg.finalizer', + 'regexec', 'regexpr', 'registerS3method', 'registerS3methods', + 'regmatches', 'remove', 'removeTaskCallback', 'rep', 'rep.Date', + 'rep.POSIXct', 'rep.POSIXlt', 'rep.factor', 'rep.int', + 'rep.numeric_version', 'rep_len', 'replace', 'replicate', + 'requireNamespace', 'restartDescription', 'restartFormals', + 'retracemem', 'rev', 'rev.default', 'rle', 'rm', 'round', + 'round.Date', 'round.POSIXt', 'row', 'row.names', + 'row.names.data.frame', 'row.names.default', 'rowMeans', 'rowSums', + 'rownames', 'rowsum', 'rowsum.data.frame', 'rowsum.default', + 'sQuote', 'sample', 'sample.int', 'sapply', 'save', 'save.image', + 'saveRDS', 'scale', 'scale.default', 'scan', 'search', + 'searchpaths', 'seek', 'seek.connection', 'seq', 'seq.Date', + 'seq.POSIXt', 'seq.default', 'seq.int', 'seq_along', 'seq_len', + 'sequence', 'serialize', 'set.seed', 'setHook', 'setNamespaceInfo', + 'setSessionTimeLimit', 'setTimeLimit', 'setdiff', 'setequal', + 'setwd', 'shQuote', 'showConnections', 'sign', 'signalCondition', + 'signif', 'simpleCondition', 'simpleError', 'simpleMessage', + 'simpleWarning', 'simplify2array', 'sin', 'single', + 'sinh', 'sink', 'sink.number', 'slice.index', 'socketConnection', + 'socketSelect', 'solve', 'solve.default', 'solve.qr', 'sort', + 'sort.POSIXlt', 'sort.default', 'sort.int', 'sort.list', 'split', + 'split.Date', 'split.POSIXct', 'split.data.frame', 'split.default', + 'sprintf', 'sqrt', 'srcfile', 'srcfilealias', 'srcfilecopy', + 'srcref', 'standardGeneric', 'stderr', 'stdin', 'stdout', 'stop', + 'stopifnot', 'storage.mode', 'strftime', 'strptime', 'strsplit', + 'strtoi', 'strtrim', 'structure', 'strwrap', 'sub', 'subset', + 'subset.data.frame', 'subset.default', 'subset.matrix', + 'substitute', 'substr', 'substring', 'sum', 'summary', + 'summary.Date', 'summary.POSIXct', 'summary.POSIXlt', + 'summary.connection', 'summary.data.frame', 'summary.default', + 'summary.factor', 'summary.matrix', 'summary.proc_time', + 'summary.srcfile', 'summary.srcref', 'summary.table', + 'suppressMessages', 'suppressPackageStartupMessages', + 'suppressWarnings', 'svd', 'sweep', 'sys.call', 'sys.calls', + 'sys.frame', 'sys.frames', 'sys.function', 'sys.load.image', + 'sys.nframe', 'sys.on.exit', 'sys.parent', 'sys.parents', + 'sys.save.image', 'sys.source', 'sys.status', 'system', + 'system.file', 'system.time', 'system2', 't', 't.data.frame', + 't.default', 'table', 'tabulate', 'tail', 'tan', 'tanh', 'tapply', + 'taskCallbackManager', 'tcrossprod', 'tempdir', 'tempfile', + 'testPlatformEquivalence', 'textConnection', 'textConnectionValue', + 'toString', 'toString.default', 'tolower', 'topenv', 'toupper', + 'trace', 'traceback', 'tracemem', 'tracingState', 'transform', + 'transform.data.frame', 'transform.default', 'trigamma', 'trunc', + 'trunc.Date', 'trunc.POSIXt', 'truncate', 'truncate.connection', + 'try', 'tryCatch', 'typeof', 'unclass', 'undebug', 'union', + 'unique', 'unique.POSIXlt', 'unique.array', 'unique.data.frame', + 'unique.default', 'unique.matrix', 'unique.numeric_version', + 'units', 'units.difftime', 'unix.time', 'unlink', 'unlist', + 'unloadNamespace', 'unlockBinding', 'unname', 'unserialize', + 'unsplit', 'untrace', 'untracemem', 'unz', 'upper.tri', 'url', + 'utf8ToInt', 'vapply', 'version', 'warning', 'warnings', 'weekdays', + 'weekdays.Date', 'weekdays.POSIXt', 'which', 'which.max', + 'which.min', 'with', 'with.default', 'withCallingHandlers', + 'withRestarts', 'withVisible', 'within', 'within.data.frame', + 'within.list', 'write', 'write.dcf', 'writeBin', 'writeChar', + 'writeLines', 'xor', 'xor.hexmode', 'xor.octmode', + 'xpdrows.data.frame', 'xtfrm', 'xtfrm.AsIs', 'xtfrm.Date', + 'xtfrm.POSIXct', 'xtfrm.POSIXlt', 'xtfrm.Surv', 'xtfrm.default', + 'xtfrm.difftime', 'xtfrm.factor', 'xtfrm.numeric_version', 'xzfile', + 'zapsmall' + ) + + tokens = { + 'comments': [ + (r'#.*$', Comment.Single), + ], + 'valid_name': [ + (r'[a-zA-Z][\w.]*', Text), + # can begin with ., but not if that is followed by a digit + (r'\.[a-zA-Z_][\w.]*', Text), + ], + 'punctuation': [ + (r'\[{1,2}|\]{1,2}|\(|\)|;|,', Punctuation), + ], + 'keywords': [ + (words(builtins_base, suffix=r'(?![\w. =])'), + Keyword.Pseudo), + (r'(if|else|for|while|repeat|in|next|break|return|switch|function)' + r'(?![\w.])', + Keyword.Reserved), + (r'(array|category|character|complex|double|function|integer|list|' + r'logical|matrix|numeric|vector|data.frame|c)' + r'(?![\w.])', + Keyword.Type), + (r'(library|require|attach|detach|source)' + r'(?![\w.])', + Keyword.Namespace) + ], + 'operators': [ + (r'<>?|-|==|<=|>=|<|>|&&?|!=|\|\|?|\?', Operator), + (r'\*|\+|\^|/|!|%[^%]*%|=|~|\$|@|:{1,3}', Operator) + ], + 'builtin_symbols': [ + (r'(NULL|NA(_(integer|real|complex|character)_)?|' + r'letters|LETTERS|Inf|TRUE|FALSE|NaN|pi|\.\.(\.|[0-9]+))' + r'(?![\w.])', + Keyword.Constant), + (r'(T|F)\b', Name.Builtin.Pseudo), + ], + 'numbers': [ + # hex number + (r'0[xX][a-fA-F0-9]+([pP][0-9]+)?[Li]?', Number.Hex), + # decimal number + (r'[+-]?([0-9]+(\.[0-9]+)?|\.[0-9]+|\.)([eE][+-]?[0-9]+)?[Li]?', + Number), + ], + 'statements': [ + include('comments'), + # whitespaces + (r'\s+', Text), + (r'`.*?`', String.Backtick), + (r'\'', String, 'string_squote'), + (r'\"', String, 'string_dquote'), + include('builtin_symbols'), + include('numbers'), + include('keywords'), + include('punctuation'), + include('operators'), + include('valid_name'), + ], + 'root': [ + include('statements'), + # blocks: + (r'\{|\}', Punctuation), + # (r'\{', Punctuation, 'block'), + (r'.', Text), + ], + # 'block': [ + # include('statements'), + # ('\{', Punctuation, '#push'), + # ('\}', Punctuation, '#pop') + # ], + 'string_squote': [ + (r'([^\'\\]|\\.)*\'', String, '#pop'), + ], + 'string_dquote': [ + (r'([^"\\]|\\.)*"', String, '#pop'), + ], + } + + def analyse_text(text): + if re.search(r'[a-z0-9_\])\s]<-(?!-)', text): + return 0.11 + + +class RdLexer(RegexLexer): + """ + Pygments Lexer for R documentation (Rd) files + + This is a very minimal implementation, highlighting little more + than the macros. A description of Rd syntax is found in `Writing R + Extensions `_ + and `Parsing Rd files `_. + + .. versionadded:: 1.6 + """ + name = 'Rd' + aliases = ['rd'] + filenames = ['*.Rd'] + mimetypes = ['text/x-r-doc'] + + # To account for verbatim / LaTeX-like / and R-like areas + # would require parsing. + tokens = { + 'root': [ + # catch escaped brackets and percent sign + (r'\\[\\{}%]', String.Escape), + # comments + (r'%.*$', Comment), + # special macros with no arguments + (r'\\(?:cr|l?dots|R|tab)\b', Keyword.Constant), + # macros + (r'\\[a-zA-Z]+\b', Keyword), + # special preprocessor macros + (r'^\s*#(?:ifn?def|endif).*\b', Comment.Preproc), + # non-escaped brackets + (r'[{}]', Name.Builtin), + # everything else + (r'[^\\%\n{}]+', Text), + (r'.', Text), + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rdf.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rdf.py new file mode 100644 index 0000000000000000000000000000000000000000..d0f8778adf2ae7d3b7e248e106865ee12158b309 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rdf.py @@ -0,0 +1,270 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.rdf + ~~~~~~~~~~~~~~~~~~~ + + Lexers for semantic web and RDF query languages and markup. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, bygroups, default +from pygments.token import Keyword, Punctuation, String, Number, Operator, Generic, \ + Whitespace, Name, Literal, Comment, Text + +__all__ = ['SparqlLexer', 'TurtleLexer'] + + +class SparqlLexer(RegexLexer): + """ + Lexer for `SPARQL `_ query language. + + .. versionadded:: 2.0 + """ + name = 'SPARQL' + aliases = ['sparql'] + filenames = ['*.rq', '*.sparql'] + mimetypes = ['application/sparql-query'] + + # character group definitions :: + + PN_CHARS_BASE_GRP = (u'a-zA-Z' + u'\u00c0-\u00d6' + u'\u00d8-\u00f6' + u'\u00f8-\u02ff' + u'\u0370-\u037d' + u'\u037f-\u1fff' + u'\u200c-\u200d' + u'\u2070-\u218f' + u'\u2c00-\u2fef' + u'\u3001-\ud7ff' + u'\uf900-\ufdcf' + u'\ufdf0-\ufffd') + + PN_CHARS_U_GRP = (PN_CHARS_BASE_GRP + '_') + + PN_CHARS_GRP = (PN_CHARS_U_GRP + + r'\-' + + r'0-9' + + u'\u00b7' + + u'\u0300-\u036f' + + u'\u203f-\u2040') + + HEX_GRP = '0-9A-Fa-f' + + PN_LOCAL_ESC_CHARS_GRP = r' _~.\-!$&"()*+,;=/?#@%' + + # terminal productions :: + + PN_CHARS_BASE = '[' + PN_CHARS_BASE_GRP + ']' + + PN_CHARS_U = '[' + PN_CHARS_U_GRP + ']' + + PN_CHARS = '[' + PN_CHARS_GRP + ']' + + HEX = '[' + HEX_GRP + ']' + + PN_LOCAL_ESC_CHARS = '[' + PN_LOCAL_ESC_CHARS_GRP + ']' + + IRIREF = r'<(?:[^<>"{}|^`\\\x00-\x20])*>' + + BLANK_NODE_LABEL = '_:[0-9' + PN_CHARS_U_GRP + '](?:[' + PN_CHARS_GRP + \ + '.]*' + PN_CHARS + ')?' + + PN_PREFIX = PN_CHARS_BASE + '(?:[' + PN_CHARS_GRP + '.]*' + PN_CHARS + ')?' + + VARNAME = u'[0-9' + PN_CHARS_U_GRP + '][' + PN_CHARS_U_GRP + \ + u'0-9\u00b7\u0300-\u036f\u203f-\u2040]*' + + PERCENT = '%' + HEX + HEX + + PN_LOCAL_ESC = r'\\' + PN_LOCAL_ESC_CHARS + + PLX = '(?:' + PERCENT + ')|(?:' + PN_LOCAL_ESC + ')' + + PN_LOCAL = ('(?:[' + PN_CHARS_U_GRP + ':0-9' + ']|' + PLX + ')' + + '(?:(?:[' + PN_CHARS_GRP + '.:]|' + PLX + ')*(?:[' + + PN_CHARS_GRP + ':]|' + PLX + '))?') + + EXPONENT = r'[eE][+-]?\d+' + + # Lexer token definitions :: + + tokens = { + 'root': [ + (r'\s+', Text), + # keywords :: + (r'((?i)select|construct|describe|ask|where|filter|group\s+by|minus|' + r'distinct|reduced|from\s+named|from|order\s+by|desc|asc|limit|' + r'offset|bindings|load|clear|drop|create|add|move|copy|' + r'insert\s+data|delete\s+data|delete\s+where|delete|insert|' + r'using\s+named|using|graph|default|named|all|optional|service|' + r'silent|bind|union|not\s+in|in|as|having|to|prefix|base)\b', Keyword), + (r'(a)\b', Keyword), + # IRIs :: + ('(' + IRIREF + ')', Name.Label), + # blank nodes :: + ('(' + BLANK_NODE_LABEL + ')', Name.Label), + # # variables :: + ('[?$]' + VARNAME, Name.Variable), + # prefixed names :: + (r'(' + PN_PREFIX + ')?(\:)(' + PN_LOCAL + ')?', + bygroups(Name.Namespace, Punctuation, Name.Tag)), + # function names :: + (r'((?i)str|lang|langmatches|datatype|bound|iri|uri|bnode|rand|abs|' + r'ceil|floor|round|concat|strlen|ucase|lcase|encode_for_uri|' + r'contains|strstarts|strends|strbefore|strafter|year|month|day|' + r'hours|minutes|seconds|timezone|tz|now|md5|sha1|sha256|sha384|' + r'sha512|coalesce|if|strlang|strdt|sameterm|isiri|isuri|isblank|' + r'isliteral|isnumeric|regex|substr|replace|exists|not\s+exists|' + r'count|sum|min|max|avg|sample|group_concat|separator)\b', + Name.Function), + # boolean literals :: + (r'(true|false)', Keyword.Constant), + # double literals :: + (r'[+\-]?(\d+\.\d*' + EXPONENT + '|\.?\d+' + EXPONENT + ')', Number.Float), + # decimal literals :: + (r'[+\-]?(\d+\.\d*|\.\d+)', Number.Float), + # integer literals :: + (r'[+\-]?\d+', Number.Integer), + # operators :: + (r'(\|\||&&|=|\*|\-|\+|/|!=|<=|>=|!|<|>)', Operator), + # punctuation characters :: + (r'[(){}.;,:^\[\]]', Punctuation), + # line comments :: + (r'#[^\n]*', Comment), + # strings :: + (r'"""', String, 'triple-double-quoted-string'), + (r'"', String, 'single-double-quoted-string'), + (r"'''", String, 'triple-single-quoted-string'), + (r"'", String, 'single-single-quoted-string'), + ], + 'triple-double-quoted-string': [ + (r'"""', String, 'end-of-string'), + (r'[^\\]+', String), + (r'\\', String, 'string-escape'), + ], + 'single-double-quoted-string': [ + (r'"', String, 'end-of-string'), + (r'[^"\\\n]+', String), + (r'\\', String, 'string-escape'), + ], + 'triple-single-quoted-string': [ + (r"'''", String, 'end-of-string'), + (r'[^\\]+', String), + (r'\\', String.Escape, 'string-escape'), + ], + 'single-single-quoted-string': [ + (r"'", String, 'end-of-string'), + (r"[^'\\\n]+", String), + (r'\\', String, 'string-escape'), + ], + 'string-escape': [ + (r'u' + HEX + '{4}', String.Escape, '#pop'), + (r'U' + HEX + '{8}', String.Escape, '#pop'), + (r'.', String.Escape, '#pop'), + ], + 'end-of-string': [ + (r'(@)([a-zA-Z]+(?:-[a-zA-Z0-9]+)*)', + bygroups(Operator, Name.Function), '#pop:2'), + (r'\^\^', Operator, '#pop:2'), + default('#pop:2'), + ], + } + + +class TurtleLexer(RegexLexer): + """ + Lexer for `Turtle `_ data language. + + .. versionadded:: 2.1 + """ + name = 'Turtle' + aliases = ['turtle'] + filenames = ['*.ttl'] + mimetypes = ['text/turtle', 'application/x-turtle'] + + flags = re.IGNORECASE + + patterns = { + 'PNAME_NS': r'((?:[a-z][\w-]*)?\:)', # Simplified character range + 'IRIREF': r'(<[^<>"{}|^`\\\x00-\x20]*>)' + } + + # PNAME_NS PN_LOCAL (with simplified character range) + patterns['PrefixedName'] = r'%(PNAME_NS)s([a-z][\w-]*)' % patterns + + tokens = { + 'root': [ + (r'\s+', Whitespace), + + # Base / prefix + (r'(@base|BASE)(\s+)%(IRIREF)s(\s*)(\.?)' % patterns, + bygroups(Keyword, Whitespace, Name.Variable, Whitespace, + Punctuation)), + (r'(@prefix|PREFIX)(\s+)%(PNAME_NS)s(\s+)%(IRIREF)s(\s*)(\.?)' % patterns, + bygroups(Keyword, Whitespace, Name.Namespace, Whitespace, + Name.Variable, Whitespace, Punctuation)), + + # The shorthand predicate 'a' + (r'(?<=\s)a(?=\s)', Keyword.Type), + + # IRIREF + (r'%(IRIREF)s' % patterns, Name.Variable), + + # PrefixedName + (r'%(PrefixedName)s' % patterns, + bygroups(Name.Namespace, Name.Tag)), + + # Comment + (r'#[^\n]+', Comment), + + (r'\b(true|false)\b', Literal), + (r'[+\-]?\d*\.\d+', Number.Float), + (r'[+\-]?\d*(:?\.\d+)?E[+\-]?\d+', Number.Float), + (r'[+\-]?\d+', Number.Integer), + (r'[\[\](){}.;,:^]', Punctuation), + + (r'"""', String, 'triple-double-quoted-string'), + (r'"', String, 'single-double-quoted-string'), + (r"'''", String, 'triple-single-quoted-string'), + (r"'", String, 'single-single-quoted-string'), + ], + 'triple-double-quoted-string': [ + (r'"""', String, 'end-of-string'), + (r'[^\\]+', String), + (r'\\', String, 'string-escape'), + ], + 'single-double-quoted-string': [ + (r'"', String, 'end-of-string'), + (r'[^"\\\n]+', String), + (r'\\', String, 'string-escape'), + ], + 'triple-single-quoted-string': [ + (r"'''", String, 'end-of-string'), + (r'[^\\]+', String), + (r'\\', String, 'string-escape'), + ], + 'single-single-quoted-string': [ + (r"'", String, 'end-of-string'), + (r"[^'\\\n]+", String), + (r'\\', String, 'string-escape'), + ], + 'string-escape': [ + (r'.', String, '#pop'), + ], + 'end-of-string': [ + (r'(@)([a-z]+(:?-[a-z0-9]+)*)', + bygroups(Operator, Generic.Emph), '#pop:2'), + + (r'(\^\^)%(IRIREF)s' % patterns, bygroups(Operator, Generic.Emph), '#pop:2'), + (r'(\^\^)%(PrefixedName)s' % patterns, + bygroups(Operator, Generic.Emph, Generic.Emph), '#pop:2'), + + default('#pop:2'), + + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rebol.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rebol.py new file mode 100644 index 0000000000000000000000000000000000000000..f3d00200d02bb8ae825497b243b93ba8da6f500d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rebol.py @@ -0,0 +1,431 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.rebol + ~~~~~~~~~~~~~~~~~~~~~ + + Lexers for the REBOL and related languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, bygroups +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Generic, Whitespace + +__all__ = ['RebolLexer', 'RedLexer'] + + +class RebolLexer(RegexLexer): + """ + A `REBOL `_ lexer. + + .. versionadded:: 1.1 + """ + name = 'REBOL' + aliases = ['rebol'] + filenames = ['*.r', '*.r3', '*.reb'] + mimetypes = ['text/x-rebol'] + + flags = re.IGNORECASE | re.MULTILINE + + escape_re = r'(?:\^\([0-9a-f]{1,4}\)*)' + + def word_callback(lexer, match): + word = match.group() + + if re.match(".*:$", word): + yield match.start(), Generic.Subheading, word + elif re.match( + r'(native|alias|all|any|as-string|as-binary|bind|bound\?|case|' + r'catch|checksum|comment|debase|dehex|exclude|difference|disarm|' + r'either|else|enbase|foreach|remove-each|form|free|get|get-env|if|' + r'in|intersect|loop|minimum-of|maximum-of|mold|new-line|' + r'new-line\?|not|now|prin|print|reduce|compose|construct|repeat|' + r'reverse|save|script\?|set|shift|switch|throw|to-hex|trace|try|' + r'type\?|union|unique|unless|unprotect|unset|until|use|value\?|' + r'while|compress|decompress|secure|open|close|read|read-io|' + r'write-io|write|update|query|wait|input\?|exp|log-10|log-2|' + r'log-e|square-root|cosine|sine|tangent|arccosine|arcsine|' + r'arctangent|protect|lowercase|uppercase|entab|detab|connected\?|' + r'browse|launch|stats|get-modes|set-modes|to-local-file|' + r'to-rebol-file|encloak|decloak|create-link|do-browser|bind\?|' + r'hide|draw|show|size-text|textinfo|offset-to-caret|' + r'caret-to-offset|local-request-file|rgb-to-hsv|hsv-to-rgb|' + r'crypt-strength\?|dh-make-key|dh-generate-key|dh-compute-key|' + r'dsa-make-key|dsa-generate-key|dsa-make-signature|' + r'dsa-verify-signature|rsa-make-key|rsa-generate-key|' + r'rsa-encrypt)$', word): + yield match.start(), Name.Builtin, word + elif re.match( + r'(add|subtract|multiply|divide|remainder|power|and~|or~|xor~|' + r'minimum|maximum|negate|complement|absolute|random|head|tail|' + r'next|back|skip|at|pick|first|second|third|fourth|fifth|sixth|' + r'seventh|eighth|ninth|tenth|last|path|find|select|make|to|copy\*|' + r'insert|remove|change|poke|clear|trim|sort|min|max|abs|cp|' + r'copy)$', word): + yield match.start(), Name.Function, word + elif re.match( + r'(error|source|input|license|help|install|echo|Usage|with|func|' + r'throw-on-error|function|does|has|context|probe|\?\?|as-pair|' + r'mod|modulo|round|repend|about|set-net|append|join|rejoin|reform|' + r'remold|charset|array|replace|move|extract|forskip|forall|alter|' + r'first+|also|take|for|forever|dispatch|attempt|what-dir|' + r'change-dir|clean-path|list-dir|dirize|rename|split-path|delete|' + r'make-dir|delete-dir|in-dir|confirm|dump-obj|upgrade|what|' + r'build-tag|process-source|build-markup|decode-cgi|read-cgi|' + r'write-user|save-user|set-user-name|protect-system|parse-xml|' + r'cvs-date|cvs-version|do-boot|get-net-info|desktop|layout|' + r'scroll-para|get-face|alert|set-face|uninstall|unfocus|' + r'request-dir|center-face|do-events|net-error|decode-url|' + r'parse-header|parse-header-date|parse-email-addrs|import-email|' + r'send|build-attach-body|resend|show-popup|hide-popup|open-events|' + r'find-key-face|do-face|viewtop|confine|find-window|' + r'insert-event-func|remove-event-func|inform|dump-pane|dump-face|' + r'flag-face|deflag-face|clear-fields|read-net|vbug|path-thru|' + r'read-thru|load-thru|do-thru|launch-thru|load-image|' + r'request-download|do-face-alt|set-font|set-para|get-style|' + r'set-style|make-face|stylize|choose|hilight-text|hilight-all|' + r'unlight-text|focus|scroll-drag|clear-face|reset-face|scroll-face|' + r'resize-face|load-stock|load-stock-block|notify|request|flash|' + r'request-color|request-pass|request-text|request-list|' + r'request-date|request-file|dbug|editor|link-relative-path|' + r'emailer|parse-error)$', word): + yield match.start(), Keyword.Namespace, word + elif re.match( + r'(halt|quit|do|load|q|recycle|call|run|ask|parse|view|unview|' + r'return|exit|break)$', word): + yield match.start(), Name.Exception, word + elif re.match('REBOL$', word): + yield match.start(), Generic.Heading, word + elif re.match("to-.*", word): + yield match.start(), Keyword, word + elif re.match('(\+|-|\*|/|//|\*\*|and|or|xor|=\?|=|==|<>|<|>|<=|>=)$', + word): + yield match.start(), Operator, word + elif re.match(".*\?$", word): + yield match.start(), Keyword, word + elif re.match(".*\!$", word): + yield match.start(), Keyword.Type, word + elif re.match("'.*", word): + yield match.start(), Name.Variable.Instance, word # lit-word + elif re.match("#.*", word): + yield match.start(), Name.Label, word # issue + elif re.match("%.*", word): + yield match.start(), Name.Decorator, word # file + else: + yield match.start(), Name.Variable, word + + tokens = { + 'root': [ + (r'[^R]+', Comment), + (r'REBOL\s+\[', Generic.Strong, 'script'), + (r'R', Comment) + ], + 'script': [ + (r'\s+', Text), + (r'#"', String.Char, 'char'), + (r'#\{[0-9a-f]*\}', Number.Hex), + (r'2#\{', Number.Hex, 'bin2'), + (r'64#\{[0-9a-z+/=\s]*\}', Number.Hex), + (r'"', String, 'string'), + (r'\{', String, 'string2'), + (r';#+.*\n', Comment.Special), + (r';\*+.*\n', Comment.Preproc), + (r';.*\n', Comment), + (r'%"', Name.Decorator, 'stringFile'), + (r'%[^(^{")\s\[\]]+', Name.Decorator), + (r'[+-]?([a-z]{1,3})?\$\d+(\.\d+)?', Number.Float), # money + (r'[+-]?\d+\:\d+(\:\d+)?(\.\d+)?', String.Other), # time + (r'\d+[\-/][0-9a-z]+[\-/]\d+(\/\d+\:\d+((\:\d+)?' + r'([.\d+]?([+-]?\d+:\d+)?)?)?)?', String.Other), # date + (r'\d+(\.\d+)+\.\d+', Keyword.Constant), # tuple + (r'\d+X\d+', Keyword.Constant), # pair + (r'[+-]?\d+(\'\d+)?([.,]\d*)?E[+-]?\d+', Number.Float), + (r'[+-]?\d+(\'\d+)?[.,]\d*', Number.Float), + (r'[+-]?\d+(\'\d+)?', Number), + (r'[\[\]()]', Generic.Strong), + (r'[a-z]+[^(^{"\s:)]*://[^(^{"\s)]*', Name.Decorator), # url + (r'mailto:[^(^{"@\s)]+@[^(^{"@\s)]+', Name.Decorator), # url + (r'[^(^{"@\s)]+@[^(^{"@\s)]+', Name.Decorator), # email + (r'comment\s"', Comment, 'commentString1'), + (r'comment\s\{', Comment, 'commentString2'), + (r'comment\s\[', Comment, 'commentBlock'), + (r'comment\s[^(\s{"\[]+', Comment), + (r'/[^(^{")\s/[\]]*', Name.Attribute), + (r'([^(^{")\s/[\]]+)(?=[:({"\s/\[\]])', word_callback), + (r'<[\w:.-]*>', Name.Tag), + (r'<[^(<>\s")]+', Name.Tag, 'tag'), + (r'([^(^{")\s]+)', Text), + ], + 'string': [ + (r'[^(^")]+', String), + (escape_re, String.Escape), + (r'[(|)]+', String), + (r'\^.', String.Escape), + (r'"', String, '#pop'), + ], + 'string2': [ + (r'[^(^{})]+', String), + (escape_re, String.Escape), + (r'[(|)]+', String), + (r'\^.', String.Escape), + (r'\{', String, '#push'), + (r'\}', String, '#pop'), + ], + 'stringFile': [ + (r'[^(^")]+', Name.Decorator), + (escape_re, Name.Decorator), + (r'\^.', Name.Decorator), + (r'"', Name.Decorator, '#pop'), + ], + 'char': [ + (escape_re + '"', String.Char, '#pop'), + (r'\^."', String.Char, '#pop'), + (r'."', String.Char, '#pop'), + ], + 'tag': [ + (escape_re, Name.Tag), + (r'"', Name.Tag, 'tagString'), + (r'[^(<>\r\n")]+', Name.Tag), + (r'>', Name.Tag, '#pop'), + ], + 'tagString': [ + (r'[^(^")]+', Name.Tag), + (escape_re, Name.Tag), + (r'[(|)]+', Name.Tag), + (r'\^.', Name.Tag), + (r'"', Name.Tag, '#pop'), + ], + 'tuple': [ + (r'(\d+\.)+', Keyword.Constant), + (r'\d+', Keyword.Constant, '#pop'), + ], + 'bin2': [ + (r'\s+', Number.Hex), + (r'([01]\s*){8}', Number.Hex), + (r'\}', Number.Hex, '#pop'), + ], + 'commentString1': [ + (r'[^(^")]+', Comment), + (escape_re, Comment), + (r'[(|)]+', Comment), + (r'\^.', Comment), + (r'"', Comment, '#pop'), + ], + 'commentString2': [ + (r'[^(^{})]+', Comment), + (escape_re, Comment), + (r'[(|)]+', Comment), + (r'\^.', Comment), + (r'\{', Comment, '#push'), + (r'\}', Comment, '#pop'), + ], + 'commentBlock': [ + (r'\[', Comment, '#push'), + (r'\]', Comment, '#pop'), + (r'"', Comment, "commentString1"), + (r'\{', Comment, "commentString2"), + (r'[^(\[\]"{)]+', Comment), + ], + } + + def analyse_text(text): + """ + Check if code contains REBOL header and so it probably not R code + """ + if re.match(r'^\s*REBOL\s*\[', text, re.IGNORECASE): + # The code starts with REBOL header + return 1.0 + elif re.search(r'\s*REBOL\s*[', text, re.IGNORECASE): + # The code contains REBOL header but also some text before it + return 0.5 + + +class RedLexer(RegexLexer): + """ + A `Red-language `_ lexer. + + .. versionadded:: 2.0 + """ + name = 'Red' + aliases = ['red', 'red/system'] + filenames = ['*.red', '*.reds'] + mimetypes = ['text/x-red', 'text/x-red-system'] + + flags = re.IGNORECASE | re.MULTILINE + + escape_re = r'(?:\^\([0-9a-f]{1,4}\)*)' + + def word_callback(lexer, match): + word = match.group() + + if re.match(".*:$", word): + yield match.start(), Generic.Subheading, word + elif re.match(r'(if|unless|either|any|all|while|until|loop|repeat|' + r'foreach|forall|func|function|does|has|switch|' + r'case|reduce|compose|get|set|print|prin|equal\?|' + r'not-equal\?|strict-equal\?|lesser\?|greater\?|lesser-or-equal\?|' + r'greater-or-equal\?|same\?|not|type\?|stats|' + r'bind|union|replace|charset|routine)$', word): + yield match.start(), Name.Builtin, word + elif re.match(r'(make|random|reflect|to|form|mold|absolute|add|divide|multiply|negate|' + r'power|remainder|round|subtract|even\?|odd\?|and~|complement|or~|xor~|' + r'append|at|back|change|clear|copy|find|head|head\?|index\?|insert|' + r'length\?|next|pick|poke|remove|reverse|select|sort|skip|swap|tail|tail\?|' + r'take|trim|create|close|delete|modify|open|open\?|query|read|rename|' + r'update|write)$', word): + yield match.start(), Name.Function, word + elif re.match(r'(yes|on|no|off|true|false|tab|cr|lf|newline|escape|slash|sp|space|null|' + r'none|crlf|dot|null-byte)$', word): + yield match.start(), Name.Builtin.Pseudo, word + elif re.match(r'(#system-global|#include|#enum|#define|#either|#if|#import|#export|' + r'#switch|#default|#get-definition)$', word): + yield match.start(), Keyword.Namespace, word + elif re.match(r'(system|halt|quit|quit-return|do|load|q|recycle|call|run|ask|parse|' + r'raise-error|return|exit|break|alias|push|pop|probe|\?\?|spec-of|body-of|' + r'quote|forever)$', word): + yield match.start(), Name.Exception, word + elif re.match(r'(action\?|block\?|char\?|datatype\?|file\?|function\?|get-path\?|zero\?|' + r'get-word\?|integer\?|issue\?|lit-path\?|lit-word\?|logic\?|native\?|' + r'op\?|paren\?|path\?|refinement\?|set-path\?|set-word\?|string\?|unset\?|' + r'any-struct\?|none\?|word\?|any-series\?)$', word): + yield match.start(), Keyword, word + elif re.match(r'(JNICALL|stdcall|cdecl|infix)$', word): + yield match.start(), Keyword.Namespace, word + elif re.match("to-.*", word): + yield match.start(), Keyword, word + elif re.match('(\+|-\*\*|-|\*\*|//|/|\*|and|or|xor|=\?|===|==|=|<>|<=|>=|' + '<<<|>>>|<<|>>|<|>%)$', word): + yield match.start(), Operator, word + elif re.match(".*\!$", word): + yield match.start(), Keyword.Type, word + elif re.match("'.*", word): + yield match.start(), Name.Variable.Instance, word # lit-word + elif re.match("#.*", word): + yield match.start(), Name.Label, word # issue + elif re.match("%.*", word): + yield match.start(), Name.Decorator, word # file + elif re.match(":.*", word): + yield match.start(), Generic.Subheading, word # get-word + else: + yield match.start(), Name.Variable, word + + tokens = { + 'root': [ + (r'[^R]+', Comment), + (r'Red/System\s+\[', Generic.Strong, 'script'), + (r'Red\s+\[', Generic.Strong, 'script'), + (r'R', Comment) + ], + 'script': [ + (r'\s+', Text), + (r'#"', String.Char, 'char'), + (r'#\{[0-9a-f\s]*\}', Number.Hex), + (r'2#\{', Number.Hex, 'bin2'), + (r'64#\{[0-9a-z+/=\s]*\}', Number.Hex), + (r'([0-9a-f]+)(h)((\s)|(?=[\[\]{}"()]))', + bygroups(Number.Hex, Name.Variable, Whitespace)), + (r'"', String, 'string'), + (r'\{', String, 'string2'), + (r';#+.*\n', Comment.Special), + (r';\*+.*\n', Comment.Preproc), + (r';.*\n', Comment), + (r'%"', Name.Decorator, 'stringFile'), + (r'%[^(^{")\s\[\]]+', Name.Decorator), + (r'[+-]?([a-z]{1,3})?\$\d+(\.\d+)?', Number.Float), # money + (r'[+-]?\d+\:\d+(\:\d+)?(\.\d+)?', String.Other), # time + (r'\d+[\-/][0-9a-z]+[\-/]\d+(/\d+:\d+((:\d+)?' + r'([\.\d+]?([+-]?\d+:\d+)?)?)?)?', String.Other), # date + (r'\d+(\.\d+)+\.\d+', Keyword.Constant), # tuple + (r'\d+X\d+', Keyword.Constant), # pair + (r'[+-]?\d+(\'\d+)?([.,]\d*)?E[+-]?\d+', Number.Float), + (r'[+-]?\d+(\'\d+)?[.,]\d*', Number.Float), + (r'[+-]?\d+(\'\d+)?', Number), + (r'[\[\]()]', Generic.Strong), + (r'[a-z]+[^(^{"\s:)]*://[^(^{"\s)]*', Name.Decorator), # url + (r'mailto:[^(^{"@\s)]+@[^(^{"@\s)]+', Name.Decorator), # url + (r'[^(^{"@\s)]+@[^(^{"@\s)]+', Name.Decorator), # email + (r'comment\s"', Comment, 'commentString1'), + (r'comment\s\{', Comment, 'commentString2'), + (r'comment\s\[', Comment, 'commentBlock'), + (r'comment\s[^(\s{"\[]+', Comment), + (r'/[^(^{^")\s/[\]]*', Name.Attribute), + (r'([^(^{^")\s/[\]]+)(?=[:({"\s/\[\]])', word_callback), + (r'<[\w:.-]*>', Name.Tag), + (r'<[^(<>\s")]+', Name.Tag, 'tag'), + (r'([^(^{")\s]+)', Text), + ], + 'string': [ + (r'[^(^")]+', String), + (escape_re, String.Escape), + (r'[(|)]+', String), + (r'\^.', String.Escape), + (r'"', String, '#pop'), + ], + 'string2': [ + (r'[^(^{})]+', String), + (escape_re, String.Escape), + (r'[(|)]+', String), + (r'\^.', String.Escape), + (r'\{', String, '#push'), + (r'\}', String, '#pop'), + ], + 'stringFile': [ + (r'[^(^")]+', Name.Decorator), + (escape_re, Name.Decorator), + (r'\^.', Name.Decorator), + (r'"', Name.Decorator, '#pop'), + ], + 'char': [ + (escape_re + '"', String.Char, '#pop'), + (r'\^."', String.Char, '#pop'), + (r'."', String.Char, '#pop'), + ], + 'tag': [ + (escape_re, Name.Tag), + (r'"', Name.Tag, 'tagString'), + (r'[^(<>\r\n")]+', Name.Tag), + (r'>', Name.Tag, '#pop'), + ], + 'tagString': [ + (r'[^(^")]+', Name.Tag), + (escape_re, Name.Tag), + (r'[(|)]+', Name.Tag), + (r'\^.', Name.Tag), + (r'"', Name.Tag, '#pop'), + ], + 'tuple': [ + (r'(\d+\.)+', Keyword.Constant), + (r'\d+', Keyword.Constant, '#pop'), + ], + 'bin2': [ + (r'\s+', Number.Hex), + (r'([01]\s*){8}', Number.Hex), + (r'\}', Number.Hex, '#pop'), + ], + 'commentString1': [ + (r'[^(^")]+', Comment), + (escape_re, Comment), + (r'[(|)]+', Comment), + (r'\^.', Comment), + (r'"', Comment, '#pop'), + ], + 'commentString2': [ + (r'[^(^{})]+', Comment), + (escape_re, Comment), + (r'[(|)]+', Comment), + (r'\^.', Comment), + (r'\{', Comment, '#push'), + (r'\}', Comment, '#pop'), + ], + 'commentBlock': [ + (r'\[', Comment, '#push'), + (r'\]', Comment, '#pop'), + (r'"', Comment, "commentString1"), + (r'\{', Comment, "commentString2"), + (r'[^(\[\]"{)]+', Comment), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/resource.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/resource.py new file mode 100644 index 0000000000000000000000000000000000000000..f7494904769ee25ccb089ce8adcbe328d527300e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/resource.py @@ -0,0 +1,85 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.resource + ~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexer for resource definition files. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, bygroups, words +from pygments.token import Comment, String, Number, Operator, Text, \ + Keyword, Name + +__all__ = ['ResourceLexer'] + + +class ResourceLexer(RegexLexer): + """Lexer for `ICU Resource bundles + `_. + + .. versionadded:: 2.0 + """ + name = 'ResourceBundle' + aliases = ['resource', 'resourcebundle'] + filenames = ['*.txt'] + + _types = (':table', ':array', ':string', ':bin', ':import', ':intvector', + ':int', ':alias') + + flags = re.MULTILINE | re.IGNORECASE + tokens = { + 'root': [ + (r'//.*?$', Comment), + (r'"', String, 'string'), + (r'-?\d+', Number.Integer), + (r'[,{}]', Operator), + (r'([^\s{:]+)(\s*)(%s?)' % '|'.join(_types), + bygroups(Name, Text, Keyword)), + (r'\s+', Text), + (words(_types), Keyword), + ], + 'string': [ + (r'(\\x[0-9a-f]{2}|\\u[0-9a-f]{4}|\\U00[0-9a-f]{6}|' + r'\\[0-7]{1,3}|\\c.|\\[abtnvfre\'"?\\]|\\\{|[^"{\\])+', String), + (r'\{', String.Escape, 'msgname'), + (r'"', String, '#pop') + ], + 'msgname': [ + (r'([^{},]+)(\s*)', bygroups(Name, String.Escape), ('#pop', 'message')) + ], + 'message': [ + (r'\{', String.Escape, 'msgname'), + (r'\}', String.Escape, '#pop'), + (r'(,)(\s*)([a-z]+)(\s*\})', + bygroups(Operator, String.Escape, Keyword, String.Escape), '#pop'), + (r'(,)(\s*)([a-z]+)(\s*)(,)(\s*)(offset)(\s*)(:)(\s*)(-?\d+)(\s*)', + bygroups(Operator, String.Escape, Keyword, String.Escape, Operator, + String.Escape, Operator.Word, String.Escape, Operator, + String.Escape, Number.Integer, String.Escape), 'choice'), + (r'(,)(\s*)([a-z]+)(\s*)(,)(\s*)', + bygroups(Operator, String.Escape, Keyword, String.Escape, Operator, + String.Escape), 'choice'), + (r'\s+', String.Escape) + ], + 'choice': [ + (r'(=|<|>|<=|>=|!=)(-?\d+)(\s*\{)', + bygroups(Operator, Number.Integer, String.Escape), 'message'), + (r'([a-z]+)(\s*\{)', bygroups(Keyword.Type, String.Escape), 'str'), + (r'\}', String.Escape, ('#pop', '#pop')), + (r'\s+', String.Escape) + ], + 'str': [ + (r'\}', String.Escape, '#pop'), + (r'\{', String.Escape, 'msgname'), + (r'[^{}]+', String) + ] + } + + def analyse_text(text): + if text.startswith('root:table'): + return 1.0 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rnc.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rnc.py new file mode 100644 index 0000000000000000000000000000000000000000..2f2aacdd25a6be42cfc00728496a57f870376fd5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rnc.py @@ -0,0 +1,67 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.rnc + ~~~~~~~~~~~~~~~~~~~ + + Lexer for Relax-NG Compact syntax + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Punctuation + +__all__ = ['RNCCompactLexer'] + + +class RNCCompactLexer(RegexLexer): + """ + For `RelaxNG-compact `_ syntax. + + .. versionadded:: 2.2 + """ + + name = 'Relax-NG Compact' + aliases = ['rnc', 'rng-compact'] + filenames = ['*.rnc'] + + tokens = { + 'root': [ + (r'namespace\b', Keyword.Namespace), + (r'(?:default|datatypes)\b', Keyword.Declaration), + (r'##.*$', Comment.Preproc), + (r'#.*$', Comment.Single), + (r'"[^"]*"', String.Double), + # TODO single quoted strings and escape sequences outside of + # double-quoted strings + (r'(?:element|attribute|mixed)\b', Keyword.Declaration, 'variable'), + (r'(text\b|xsd:[^ ]+)', Keyword.Type, 'maybe_xsdattributes'), + (r'[,?&*=|~]|>>', Operator), + (r'[(){}]', Punctuation), + (r'.', Text), + ], + + # a variable has been declared using `element` or `attribute` + 'variable': [ + (r'[^{]+', Name.Variable), + (r'\{', Punctuation, '#pop'), + ], + + # after an xsd: declaration there may be attributes + 'maybe_xsdattributes': [ + (r'\{', Punctuation, 'xsdattributes'), + (r'\}', Punctuation, '#pop'), + (r'.', Text), + ], + + # attributes take the form { key1 = value1 key2 = value2 ... } + 'xsdattributes': [ + (r'[^ =}]', Name.Attribute), + (r'=', Operator), + (r'"[^"]*"', String.Double), + (r'\}', Punctuation, '#pop'), + (r'.', Text), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/roboconf.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/roboconf.py new file mode 100644 index 0000000000000000000000000000000000000000..8c7df83db30f1f2442de738dd59a96a45200b9a8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/roboconf.py @@ -0,0 +1,82 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.roboconf + ~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Roboconf DSL. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, words, re +from pygments.token import Text, Operator, Keyword, Name, Comment + +__all__ = ['RoboconfGraphLexer', 'RoboconfInstancesLexer'] + + +class RoboconfGraphLexer(RegexLexer): + """ + Lexer for `Roboconf `_ graph files. + + .. versionadded:: 2.1 + """ + name = 'Roboconf Graph' + aliases = ['roboconf-graph'] + filenames = ['*.graph'] + + flags = re.IGNORECASE | re.MULTILINE + tokens = { + 'root': [ + # Skip white spaces + (r'\s+', Text), + + # There is one operator + (r'=', Operator), + + # Keywords + (words(('facet', 'import'), suffix=r'\s*\b', prefix=r'\b'), Keyword), + (words(( + 'installer', 'extends', 'exports', 'imports', 'facets', + 'children'), suffix=r'\s*:?', prefix=r'\b'), Name), + + # Comments + (r'#.*\n', Comment), + + # Default + (r'[^#]', Text), + (r'.*\n', Text) + ] + } + + +class RoboconfInstancesLexer(RegexLexer): + """ + Lexer for `Roboconf `_ instances files. + + .. versionadded:: 2.1 + """ + name = 'Roboconf Instances' + aliases = ['roboconf-instances'] + filenames = ['*.instances'] + + flags = re.IGNORECASE | re.MULTILINE + tokens = { + 'root': [ + + # Skip white spaces + (r'\s+', Text), + + # Keywords + (words(('instance of', 'import'), suffix=r'\s*\b', prefix=r'\b'), Keyword), + (words(('name', 'count'), suffix=r's*:?', prefix=r'\b'), Name), + (r'\s*[\w.-]+\s*:', Name), + + # Comments + (r'#.*\n', Comment), + + # Default + (r'[^#]', Text), + (r'.*\n', Text) + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/robotframework.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/robotframework.py new file mode 100644 index 0000000000000000000000000000000000000000..e868127b68a5869d9e5b2eb1b6224f22c6ef797d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/robotframework.py @@ -0,0 +1,560 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.robotframework + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexer for Robot Framework. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +# Copyright 2012 Nokia Siemens Networks Oyj +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import re + +from pygments.lexer import Lexer +from pygments.token import Token +from pygments.util import text_type + +__all__ = ['RobotFrameworkLexer'] + + +HEADING = Token.Generic.Heading +SETTING = Token.Keyword.Namespace +IMPORT = Token.Name.Namespace +TC_KW_NAME = Token.Generic.Subheading +KEYWORD = Token.Name.Function +ARGUMENT = Token.String +VARIABLE = Token.Name.Variable +COMMENT = Token.Comment +SEPARATOR = Token.Punctuation +SYNTAX = Token.Punctuation +GHERKIN = Token.Generic.Emph +ERROR = Token.Error + + +def normalize(string, remove=''): + string = string.lower() + for char in remove + ' ': + if char in string: + string = string.replace(char, '') + return string + + +class RobotFrameworkLexer(Lexer): + """ + For `Robot Framework `_ test data. + + Supports both space and pipe separated plain text formats. + + .. versionadded:: 1.6 + """ + name = 'RobotFramework' + aliases = ['robotframework'] + filenames = ['*.txt', '*.robot'] + mimetypes = ['text/x-robotframework'] + + def __init__(self, **options): + options['tabsize'] = 2 + options['encoding'] = 'UTF-8' + Lexer.__init__(self, **options) + + def get_tokens_unprocessed(self, text): + row_tokenizer = RowTokenizer() + var_tokenizer = VariableTokenizer() + index = 0 + for row in text.splitlines(): + for value, token in row_tokenizer.tokenize(row): + for value, token in var_tokenizer.tokenize(value, token): + if value: + yield index, token, text_type(value) + index += len(value) + + +class VariableTokenizer(object): + + def tokenize(self, string, token): + var = VariableSplitter(string, identifiers='$@%&') + if var.start < 0 or token in (COMMENT, ERROR): + yield string, token + return + for value, token in self._tokenize(var, string, token): + if value: + yield value, token + + def _tokenize(self, var, string, orig_token): + before = string[:var.start] + yield before, orig_token + yield var.identifier + '{', SYNTAX + for value, token in self.tokenize(var.base, VARIABLE): + yield value, token + yield '}', SYNTAX + if var.index: + yield '[', SYNTAX + for value, token in self.tokenize(var.index, VARIABLE): + yield value, token + yield ']', SYNTAX + for value, token in self.tokenize(string[var.end:], orig_token): + yield value, token + + +class RowTokenizer(object): + + def __init__(self): + self._table = UnknownTable() + self._splitter = RowSplitter() + testcases = TestCaseTable() + settings = SettingTable(testcases.set_default_template) + variables = VariableTable() + keywords = KeywordTable() + self._tables = {'settings': settings, 'setting': settings, + 'metadata': settings, + 'variables': variables, 'variable': variables, + 'testcases': testcases, 'testcase': testcases, + 'keywords': keywords, 'keyword': keywords, + 'userkeywords': keywords, 'userkeyword': keywords} + + def tokenize(self, row): + commented = False + heading = False + for index, value in enumerate(self._splitter.split(row)): + # First value, and every second after that, is a separator. + index, separator = divmod(index-1, 2) + if value.startswith('#'): + commented = True + elif index == 0 and value.startswith('*'): + self._table = self._start_table(value) + heading = True + for value, token in self._tokenize(value, index, commented, + separator, heading): + yield value, token + self._table.end_row() + + def _start_table(self, header): + name = normalize(header, remove='*') + return self._tables.get(name, UnknownTable()) + + def _tokenize(self, value, index, commented, separator, heading): + if commented: + yield value, COMMENT + elif separator: + yield value, SEPARATOR + elif heading: + yield value, HEADING + else: + for value, token in self._table.tokenize(value, index): + yield value, token + + +class RowSplitter(object): + _space_splitter = re.compile('( {2,})') + _pipe_splitter = re.compile('((?:^| +)\|(?: +|$))') + + def split(self, row): + splitter = (row.startswith('| ') and self._split_from_pipes + or self._split_from_spaces) + for value in splitter(row): + yield value + yield '\n' + + def _split_from_spaces(self, row): + yield '' # Start with (pseudo)separator similarly as with pipes + for value in self._space_splitter.split(row): + yield value + + def _split_from_pipes(self, row): + _, separator, rest = self._pipe_splitter.split(row, 1) + yield separator + while self._pipe_splitter.search(rest): + cell, separator, rest = self._pipe_splitter.split(rest, 1) + yield cell + yield separator + yield rest + + +class Tokenizer(object): + _tokens = None + + def __init__(self): + self._index = 0 + + def tokenize(self, value): + values_and_tokens = self._tokenize(value, self._index) + self._index += 1 + if isinstance(values_and_tokens, type(Token)): + values_and_tokens = [(value, values_and_tokens)] + return values_and_tokens + + def _tokenize(self, value, index): + index = min(index, len(self._tokens) - 1) + return self._tokens[index] + + def _is_assign(self, value): + if value.endswith('='): + value = value[:-1].strip() + var = VariableSplitter(value, identifiers='$@&') + return var.start == 0 and var.end == len(value) + + +class Comment(Tokenizer): + _tokens = (COMMENT,) + + +class Setting(Tokenizer): + _tokens = (SETTING, ARGUMENT) + _keyword_settings = ('suitesetup', 'suiteprecondition', 'suiteteardown', + 'suitepostcondition', 'testsetup', 'testprecondition', + 'testteardown', 'testpostcondition', 'testtemplate') + _import_settings = ('library', 'resource', 'variables') + _other_settings = ('documentation', 'metadata', 'forcetags', 'defaulttags', + 'testtimeout') + _custom_tokenizer = None + + def __init__(self, template_setter=None): + Tokenizer.__init__(self) + self._template_setter = template_setter + + def _tokenize(self, value, index): + if index == 1 and self._template_setter: + self._template_setter(value) + if index == 0: + normalized = normalize(value) + if normalized in self._keyword_settings: + self._custom_tokenizer = KeywordCall(support_assign=False) + elif normalized in self._import_settings: + self._custom_tokenizer = ImportSetting() + elif normalized not in self._other_settings: + return ERROR + elif self._custom_tokenizer: + return self._custom_tokenizer.tokenize(value) + return Tokenizer._tokenize(self, value, index) + + +class ImportSetting(Tokenizer): + _tokens = (IMPORT, ARGUMENT) + + +class TestCaseSetting(Setting): + _keyword_settings = ('setup', 'precondition', 'teardown', 'postcondition', + 'template') + _import_settings = () + _other_settings = ('documentation', 'tags', 'timeout') + + def _tokenize(self, value, index): + if index == 0: + type = Setting._tokenize(self, value[1:-1], index) + return [('[', SYNTAX), (value[1:-1], type), (']', SYNTAX)] + return Setting._tokenize(self, value, index) + + +class KeywordSetting(TestCaseSetting): + _keyword_settings = ('teardown',) + _other_settings = ('documentation', 'arguments', 'return', 'timeout', 'tags') + + +class Variable(Tokenizer): + _tokens = (SYNTAX, ARGUMENT) + + def _tokenize(self, value, index): + if index == 0 and not self._is_assign(value): + return ERROR + return Tokenizer._tokenize(self, value, index) + + +class KeywordCall(Tokenizer): + _tokens = (KEYWORD, ARGUMENT) + + def __init__(self, support_assign=True): + Tokenizer.__init__(self) + self._keyword_found = not support_assign + self._assigns = 0 + + def _tokenize(self, value, index): + if not self._keyword_found and self._is_assign(value): + self._assigns += 1 + return SYNTAX # VariableTokenizer tokenizes this later. + if self._keyword_found: + return Tokenizer._tokenize(self, value, index - self._assigns) + self._keyword_found = True + return GherkinTokenizer().tokenize(value, KEYWORD) + + +class GherkinTokenizer(object): + _gherkin_prefix = re.compile('^(Given|When|Then|And) ', re.IGNORECASE) + + def tokenize(self, value, token): + match = self._gherkin_prefix.match(value) + if not match: + return [(value, token)] + end = match.end() + return [(value[:end], GHERKIN), (value[end:], token)] + + +class TemplatedKeywordCall(Tokenizer): + _tokens = (ARGUMENT,) + + +class ForLoop(Tokenizer): + + def __init__(self): + Tokenizer.__init__(self) + self._in_arguments = False + + def _tokenize(self, value, index): + token = self._in_arguments and ARGUMENT or SYNTAX + if value.upper() in ('IN', 'IN RANGE'): + self._in_arguments = True + return token + + +class _Table(object): + _tokenizer_class = None + + def __init__(self, prev_tokenizer=None): + self._tokenizer = self._tokenizer_class() + self._prev_tokenizer = prev_tokenizer + self._prev_values_on_row = [] + + def tokenize(self, value, index): + if self._continues(value, index): + self._tokenizer = self._prev_tokenizer + yield value, SYNTAX + else: + for value_and_token in self._tokenize(value, index): + yield value_and_token + self._prev_values_on_row.append(value) + + def _continues(self, value, index): + return value == '...' and all(self._is_empty(t) + for t in self._prev_values_on_row) + + def _is_empty(self, value): + return value in ('', '\\') + + def _tokenize(self, value, index): + return self._tokenizer.tokenize(value) + + def end_row(self): + self.__init__(prev_tokenizer=self._tokenizer) + + +class UnknownTable(_Table): + _tokenizer_class = Comment + + def _continues(self, value, index): + return False + + +class VariableTable(_Table): + _tokenizer_class = Variable + + +class SettingTable(_Table): + _tokenizer_class = Setting + + def __init__(self, template_setter, prev_tokenizer=None): + _Table.__init__(self, prev_tokenizer) + self._template_setter = template_setter + + def _tokenize(self, value, index): + if index == 0 and normalize(value) == 'testtemplate': + self._tokenizer = Setting(self._template_setter) + return _Table._tokenize(self, value, index) + + def end_row(self): + self.__init__(self._template_setter, prev_tokenizer=self._tokenizer) + + +class TestCaseTable(_Table): + _setting_class = TestCaseSetting + _test_template = None + _default_template = None + + @property + def _tokenizer_class(self): + if self._test_template or (self._default_template and + self._test_template is not False): + return TemplatedKeywordCall + return KeywordCall + + def _continues(self, value, index): + return index > 0 and _Table._continues(self, value, index) + + def _tokenize(self, value, index): + if index == 0: + if value: + self._test_template = None + return GherkinTokenizer().tokenize(value, TC_KW_NAME) + if index == 1 and self._is_setting(value): + if self._is_template(value): + self._test_template = False + self._tokenizer = self._setting_class(self.set_test_template) + else: + self._tokenizer = self._setting_class() + if index == 1 and self._is_for_loop(value): + self._tokenizer = ForLoop() + if index == 1 and self._is_empty(value): + return [(value, SYNTAX)] + return _Table._tokenize(self, value, index) + + def _is_setting(self, value): + return value.startswith('[') and value.endswith(']') + + def _is_template(self, value): + return normalize(value) == '[template]' + + def _is_for_loop(self, value): + return value.startswith(':') and normalize(value, remove=':') == 'for' + + def set_test_template(self, template): + self._test_template = self._is_template_set(template) + + def set_default_template(self, template): + self._default_template = self._is_template_set(template) + + def _is_template_set(self, template): + return normalize(template) not in ('', '\\', 'none', '${empty}') + + +class KeywordTable(TestCaseTable): + _tokenizer_class = KeywordCall + _setting_class = KeywordSetting + + def _is_template(self, value): + return False + + +# Following code copied directly from Robot Framework 2.7.5. + +class VariableSplitter: + + def __init__(self, string, identifiers): + self.identifier = None + self.base = None + self.index = None + self.start = -1 + self.end = -1 + self._identifiers = identifiers + self._may_have_internal_variables = False + try: + self._split(string) + except ValueError: + pass + else: + self._finalize() + + def get_replaced_base(self, variables): + if self._may_have_internal_variables: + return variables.replace_string(self.base) + return self.base + + def _finalize(self): + self.identifier = self._variable_chars[0] + self.base = ''.join(self._variable_chars[2:-1]) + self.end = self.start + len(self._variable_chars) + if self._has_list_or_dict_variable_index(): + self.index = ''.join(self._list_and_dict_variable_index_chars[1:-1]) + self.end += len(self._list_and_dict_variable_index_chars) + + def _has_list_or_dict_variable_index(self): + return self._list_and_dict_variable_index_chars\ + and self._list_and_dict_variable_index_chars[-1] == ']' + + def _split(self, string): + start_index, max_index = self._find_variable(string) + self.start = start_index + self._open_curly = 1 + self._state = self._variable_state + self._variable_chars = [string[start_index], '{'] + self._list_and_dict_variable_index_chars = [] + self._string = string + start_index += 2 + for index, char in enumerate(string[start_index:]): + index += start_index # Giving start to enumerate only in Py 2.6+ + try: + self._state(char, index) + except StopIteration: + return + if index == max_index and not self._scanning_list_variable_index(): + return + + def _scanning_list_variable_index(self): + return self._state in [self._waiting_list_variable_index_state, + self._list_variable_index_state] + + def _find_variable(self, string): + max_end_index = string.rfind('}') + if max_end_index == -1: + raise ValueError('No variable end found') + if self._is_escaped(string, max_end_index): + return self._find_variable(string[:max_end_index]) + start_index = self._find_start_index(string, 1, max_end_index) + if start_index == -1: + raise ValueError('No variable start found') + return start_index, max_end_index + + def _find_start_index(self, string, start, end): + index = string.find('{', start, end) - 1 + if index < 0: + return -1 + if self._start_index_is_ok(string, index): + return index + return self._find_start_index(string, index+2, end) + + def _start_index_is_ok(self, string, index): + return string[index] in self._identifiers\ + and not self._is_escaped(string, index) + + def _is_escaped(self, string, index): + escaped = False + while index > 0 and string[index-1] == '\\': + index -= 1 + escaped = not escaped + return escaped + + def _variable_state(self, char, index): + self._variable_chars.append(char) + if char == '}' and not self._is_escaped(self._string, index): + self._open_curly -= 1 + if self._open_curly == 0: + if not self._is_list_or_dict_variable(): + raise StopIteration + self._state = self._waiting_list_variable_index_state + elif char in self._identifiers: + self._state = self._internal_variable_start_state + + def _is_list_or_dict_variable(self): + return self._variable_chars[0] in ('@','&') + + def _internal_variable_start_state(self, char, index): + self._state = self._variable_state + if char == '{': + self._variable_chars.append(char) + self._open_curly += 1 + self._may_have_internal_variables = True + else: + self._variable_state(char, index) + + def _waiting_list_variable_index_state(self, char, index): + if char != '[': + raise StopIteration + self._list_and_dict_variable_index_chars.append(char) + self._state = self._list_variable_index_state + + def _list_variable_index_state(self, char, index): + self._list_and_dict_variable_index_chars.append(char) + if char == ']': + raise StopIteration diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ruby.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ruby.py new file mode 100644 index 0000000000000000000000000000000000000000..fe750f1a2fb9bd5cadbdf430d8fc548197cdd21f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/ruby.py @@ -0,0 +1,519 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.ruby + ~~~~~~~~~~~~~~~~~~~~ + + Lexers for Ruby and related languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, ExtendedRegexLexer, include, \ + bygroups, default, LexerContext, do_insertions, words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Error, Generic +from pygments.util import shebang_matches + +__all__ = ['RubyLexer', 'RubyConsoleLexer', 'FancyLexer'] + +line_re = re.compile('.*?\n') + + +RUBY_OPERATORS = ( + '*', '**', '-', '+', '-@', '+@', '/', '%', '&', '|', '^', '`', '~', + '[]', '[]=', '<<', '>>', '<', '<>', '<=>', '>', '>=', '==', '===' +) + + +class RubyLexer(ExtendedRegexLexer): + """ + For `Ruby `_ source code. + """ + + name = 'Ruby' + aliases = ['rb', 'ruby', 'duby'] + filenames = ['*.rb', '*.rbw', 'Rakefile', '*.rake', '*.gemspec', + '*.rbx', '*.duby', 'Gemfile'] + mimetypes = ['text/x-ruby', 'application/x-ruby'] + + flags = re.DOTALL | re.MULTILINE + + def heredoc_callback(self, match, ctx): + # okay, this is the hardest part of parsing Ruby... + # match: 1 = <<-?, 2 = quote? 3 = name 4 = quote? 5 = rest of line + + start = match.start(1) + yield start, Operator, match.group(1) # <<-? + yield match.start(2), String.Heredoc, match.group(2) # quote ", ', ` + yield match.start(3), String.Delimiter, match.group(3) # heredoc name + yield match.start(4), String.Heredoc, match.group(4) # quote again + + heredocstack = ctx.__dict__.setdefault('heredocstack', []) + outermost = not bool(heredocstack) + heredocstack.append((match.group(1) == '<<-', match.group(3))) + + ctx.pos = match.start(5) + ctx.end = match.end(5) + # this may find other heredocs + for i, t, v in self.get_tokens_unprocessed(context=ctx): + yield i, t, v + ctx.pos = match.end() + + if outermost: + # this is the outer heredoc again, now we can process them all + for tolerant, hdname in heredocstack: + lines = [] + for match in line_re.finditer(ctx.text, ctx.pos): + if tolerant: + check = match.group().strip() + else: + check = match.group().rstrip() + if check == hdname: + for amatch in lines: + yield amatch.start(), String.Heredoc, amatch.group() + yield match.start(), String.Delimiter, match.group() + ctx.pos = match.end() + break + else: + lines.append(match) + else: + # end of heredoc not found -- error! + for amatch in lines: + yield amatch.start(), Error, amatch.group() + ctx.end = len(ctx.text) + del heredocstack[:] + + def gen_rubystrings_rules(): + def intp_regex_callback(self, match, ctx): + yield match.start(1), String.Regex, match.group(1) # begin + nctx = LexerContext(match.group(3), 0, ['interpolated-regex']) + for i, t, v in self.get_tokens_unprocessed(context=nctx): + yield match.start(3)+i, t, v + yield match.start(4), String.Regex, match.group(4) # end[mixounse]* + ctx.pos = match.end() + + def intp_string_callback(self, match, ctx): + yield match.start(1), String.Other, match.group(1) + nctx = LexerContext(match.group(3), 0, ['interpolated-string']) + for i, t, v in self.get_tokens_unprocessed(context=nctx): + yield match.start(3)+i, t, v + yield match.start(4), String.Other, match.group(4) # end + ctx.pos = match.end() + + states = {} + states['strings'] = [ + # easy ones + (r'\:@{0,2}[a-zA-Z_]\w*[!?]?', String.Symbol), + (words(RUBY_OPERATORS, prefix=r'\:@{0,2}'), String.Symbol), + (r":'(\\\\|\\'|[^'])*'", String.Symbol), + (r"'(\\\\|\\'|[^'])*'", String.Single), + (r':"', String.Symbol, 'simple-sym'), + (r'([a-zA-Z_]\w*)(:)(?!:)', + bygroups(String.Symbol, Punctuation)), # Since Ruby 1.9 + (r'"', String.Double, 'simple-string'), + (r'(?', '<>', 'ab'): + states[name+'-intp-string'] = [ + (r'\\[\\' + bracecc + ']', String.Other), + (lbrace, String.Other, '#push'), + (rbrace, String.Other, '#pop'), + include('string-intp-escaped'), + (r'[\\#' + bracecc + ']', String.Other), + (r'[^\\#' + bracecc + ']+', String.Other), + ] + states['strings'].append((r'%[QWx]?' + lbrace, String.Other, + name+'-intp-string')) + states[name+'-string'] = [ + (r'\\[\\' + bracecc + ']', String.Other), + (lbrace, String.Other, '#push'), + (rbrace, String.Other, '#pop'), + (r'[\\#' + bracecc + ']', String.Other), + (r'[^\\#' + bracecc + ']+', String.Other), + ] + states['strings'].append((r'%[qsw]' + lbrace, String.Other, + name+'-string')) + states[name+'-regex'] = [ + (r'\\[\\' + bracecc + ']', String.Regex), + (lbrace, String.Regex, '#push'), + (rbrace + '[mixounse]*', String.Regex, '#pop'), + include('string-intp'), + (r'[\\#' + bracecc + ']', String.Regex), + (r'[^\\#' + bracecc + ']+', String.Regex), + ] + states['strings'].append((r'%r' + lbrace, String.Regex, + name+'-regex')) + + # these must come after %! + states['strings'] += [ + # %r regex + (r'(%r([\W_]))((?:\\\2|(?!\2).)*)(\2[mixounse]*)', + intp_regex_callback), + # regular fancy strings with qsw + (r'%[qsw]([\W_])((?:\\\1|(?!\1).)*)\1', String.Other), + (r'(%[QWx]([\W_]))((?:\\\2|(?!\2).)*)(\2)', + intp_string_callback), + # special forms of fancy strings after operators or + # in method calls with braces + (r'(?<=[-+/*%=<>&!^|~,(])(\s*)(%([\t ])(?:(?:\\\3|(?!\3).)*)\3)', + bygroups(Text, String.Other, None)), + # and because of fixed width lookbehinds the whole thing a + # second time for line startings... + (r'^(\s*)(%([\t ])(?:(?:\\\3|(?!\3).)*)\3)', + bygroups(Text, String.Other, None)), + # all regular fancy strings without qsw + (r'(%([^a-zA-Z0-9\s]))((?:\\\2|(?!\2).)*)(\2)', + intp_string_callback), + ] + + return states + + tokens = { + 'root': [ + (r'\A#!.+?$', Comment.Hashbang), + (r'#.*?$', Comment.Single), + (r'=begin\s.*?\n=end.*?$', Comment.Multiline), + # keywords + (words(( + 'BEGIN', 'END', 'alias', 'begin', 'break', 'case', 'defined?', + 'do', 'else', 'elsif', 'end', 'ensure', 'for', 'if', 'in', 'next', 'redo', + 'rescue', 'raise', 'retry', 'return', 'super', 'then', 'undef', + 'unless', 'until', 'when', 'while', 'yield'), suffix=r'\b'), + Keyword), + # start of function, class and module names + (r'(module)(\s+)([a-zA-Z_]\w*' + r'(?:::[a-zA-Z_]\w*)*)', + bygroups(Keyword, Text, Name.Namespace)), + (r'(def)(\s+)', bygroups(Keyword, Text), 'funcname'), + (r'def(?=[*%&^`~+-/\[<>=])', Keyword, 'funcname'), + (r'(class)(\s+)', bygroups(Keyword, Text), 'classname'), + # special methods + (words(( + 'initialize', 'new', 'loop', 'include', 'extend', 'raise', 'attr_reader', + 'attr_writer', 'attr_accessor', 'attr', 'catch', 'throw', 'private', + 'module_function', 'public', 'protected', 'true', 'false', 'nil'), + suffix=r'\b'), + Keyword.Pseudo), + (r'(not|and|or)\b', Operator.Word), + (words(( + 'autoload', 'block_given', 'const_defined', 'eql', 'equal', 'frozen', 'include', + 'instance_of', 'is_a', 'iterator', 'kind_of', 'method_defined', 'nil', + 'private_method_defined', 'protected_method_defined', + 'public_method_defined', 'respond_to', 'tainted'), suffix=r'\?'), + Name.Builtin), + (r'(chomp|chop|exit|gsub|sub)!', Name.Builtin), + (words(( + 'Array', 'Float', 'Integer', 'String', '__id__', '__send__', 'abort', + 'ancestors', 'at_exit', 'autoload', 'binding', 'callcc', 'caller', + 'catch', 'chomp', 'chop', 'class_eval', 'class_variables', + 'clone', 'const_defined?', 'const_get', 'const_missing', 'const_set', + 'constants', 'display', 'dup', 'eval', 'exec', 'exit', 'extend', 'fail', 'fork', + 'format', 'freeze', 'getc', 'gets', 'global_variables', 'gsub', + 'hash', 'id', 'included_modules', 'inspect', 'instance_eval', + 'instance_method', 'instance_methods', + 'instance_variable_get', 'instance_variable_set', 'instance_variables', + 'lambda', 'load', 'local_variables', 'loop', + 'method', 'method_missing', 'methods', 'module_eval', 'name', + 'object_id', 'open', 'p', 'print', 'printf', 'private_class_method', + 'private_instance_methods', + 'private_methods', 'proc', 'protected_instance_methods', + 'protected_methods', 'public_class_method', + 'public_instance_methods', 'public_methods', + 'putc', 'puts', 'raise', 'rand', 'readline', 'readlines', 'require', + 'scan', 'select', 'self', 'send', 'set_trace_func', 'singleton_methods', 'sleep', + 'split', 'sprintf', 'srand', 'sub', 'syscall', 'system', 'taint', + 'test', 'throw', 'to_a', 'to_s', 'trace_var', 'trap', 'untaint', + 'untrace_var', 'warn'), prefix=r'(?~!:])|' + r'(?<=(?:\s|;)when\s)|' + r'(?<=(?:\s|;)or\s)|' + r'(?<=(?:\s|;)and\s)|' + r'(?<=\.index\s)|' + r'(?<=\.scan\s)|' + r'(?<=\.sub\s)|' + r'(?<=\.sub!\s)|' + r'(?<=\.gsub\s)|' + r'(?<=\.gsub!\s)|' + r'(?<=\.match\s)|' + r'(?<=(?:\s|;)if\s)|' + r'(?<=(?:\s|;)elsif\s)|' + r'(?<=^when\s)|' + r'(?<=^index\s)|' + r'(?<=^scan\s)|' + r'(?<=^sub\s)|' + r'(?<=^gsub\s)|' + r'(?<=^sub!\s)|' + r'(?<=^gsub!\s)|' + r'(?<=^match\s)|' + r'(?<=^if\s)|' + r'(?<=^elsif\s)' + r')(\s*)(/)', bygroups(Text, String.Regex), 'multiline-regex'), + # multiline regex (in method calls or subscripts) + (r'(?<=\(|,|\[)/', String.Regex, 'multiline-regex'), + # multiline regex (this time the funny no whitespace rule) + (r'(\s+)(/)(?![\s=])', bygroups(Text, String.Regex), + 'multiline-regex'), + # lex numbers and ignore following regular expressions which + # are division operators in fact (grrrr. i hate that. any + # better ideas?) + # since pygments 0.7 we also eat a "?" operator after numbers + # so that the char operator does not work. Chars are not allowed + # there so that you can use the ternary operator. + # stupid example: + # x>=0?n[x]:"" + (r'(0_?[0-7]+(?:_[0-7]+)*)(\s*)([/?])?', + bygroups(Number.Oct, Text, Operator)), + (r'(0x[0-9A-Fa-f]+(?:_[0-9A-Fa-f]+)*)(\s*)([/?])?', + bygroups(Number.Hex, Text, Operator)), + (r'(0b[01]+(?:_[01]+)*)(\s*)([/?])?', + bygroups(Number.Bin, Text, Operator)), + (r'([\d]+(?:_\d+)*)(\s*)([/?])?', + bygroups(Number.Integer, Text, Operator)), + # Names + (r'@@[a-zA-Z_]\w*', Name.Variable.Class), + (r'@[a-zA-Z_]\w*', Name.Variable.Instance), + (r'\$\w+', Name.Variable.Global), + (r'\$[!@&`\'+~=/\\,;.<>_*$?:"^-]', Name.Variable.Global), + (r'\$-[0adFiIlpvw]', Name.Variable.Global), + (r'::', Operator), + include('strings'), + # chars + (r'\?(\\[MC]-)*' # modifiers + r'(\\([\\abefnrstv#"\']|x[a-fA-F0-9]{1,2}|[0-7]{1,3})|\S)' + r'(?!\w)', + String.Char), + (r'[A-Z]\w+', Name.Constant), + # this is needed because ruby attributes can look + # like keywords (class) or like this: ` ?!? + (words(RUBY_OPERATORS, prefix=r'(\.|::)'), + bygroups(Operator, Name.Operator)), + (r'(\.|::)([a-zA-Z_]\w*[!?]?|[*%&^`~+\-/\[<>=])', + bygroups(Operator, Name)), + (r'[a-zA-Z_]\w*[!?]?', Name), + (r'(\[|\]|\*\*|<>?|>=|<=|<=>|=~|={3}|' + r'!~|&&?|\|\||\.{1,3})', Operator), + (r'[-+/*%=<>&!^|~]=?', Operator), + (r'[(){};,/?:\\]', Punctuation), + (r'\s+', Text) + ], + 'funcname': [ + (r'\(', Punctuation, 'defexpr'), + (r'(?:([a-zA-Z_]\w*)(\.))?' + r'([a-zA-Z_]\w*[!?]?|\*\*?|[-+]@?|' + r'[/%&|^`~]|\[\]=?|<<|>>|<=?>|>=?|===?)', + bygroups(Name.Class, Operator, Name.Function), '#pop'), + default('#pop') + ], + 'classname': [ + (r'\(', Punctuation, 'defexpr'), + (r'<<', Operator, '#pop'), + (r'[A-Z_]\w*', Name.Class, '#pop'), + default('#pop') + ], + 'defexpr': [ + (r'(\))(\.|::)?', bygroups(Punctuation, Operator), '#pop'), + (r'\(', Operator, '#push'), + include('root') + ], + 'in-intp': [ + (r'\{', String.Interpol, '#push'), + (r'\}', String.Interpol, '#pop'), + include('root'), + ], + 'string-intp': [ + (r'#\{', String.Interpol, 'in-intp'), + (r'#@@?[a-zA-Z_]\w*', String.Interpol), + (r'#\$[a-zA-Z_]\w*', String.Interpol) + ], + 'string-intp-escaped': [ + include('string-intp'), + (r'\\([\\abefnrstv#"\']|x[a-fA-F0-9]{1,2}|[0-7]{1,3})', + String.Escape) + ], + 'interpolated-regex': [ + include('string-intp'), + (r'[\\#]', String.Regex), + (r'[^\\#]+', String.Regex), + ], + 'interpolated-string': [ + include('string-intp'), + (r'[\\#]', String.Other), + (r'[^\\#]+', String.Other), + ], + 'multiline-regex': [ + include('string-intp'), + (r'\\\\', String.Regex), + (r'\\/', String.Regex), + (r'[\\#]', String.Regex), + (r'[^\\/#]+', String.Regex), + (r'/[mixounse]*', String.Regex, '#pop'), + ], + 'end-part': [ + (r'.+', Comment.Preproc, '#pop') + ] + } + tokens.update(gen_rubystrings_rules()) + + def analyse_text(text): + return shebang_matches(text, r'ruby(1\.\d)?') + + +class RubyConsoleLexer(Lexer): + """ + For Ruby interactive console (**irb**) output like: + + .. sourcecode:: rbcon + + irb(main):001:0> a = 1 + => 1 + irb(main):002:0> puts a + 1 + => nil + """ + name = 'Ruby irb session' + aliases = ['rbcon', 'irb'] + mimetypes = ['text/x-ruby-shellsession'] + + _prompt_re = re.compile('irb\([a-zA-Z_]\w*\):\d{3}:\d+[>*"\'] ' + '|>> |\?> ') + + def get_tokens_unprocessed(self, text): + rblexer = RubyLexer(**self.options) + + curcode = '' + insertions = [] + for match in line_re.finditer(text): + line = match.group() + m = self._prompt_re.match(line) + if m is not None: + end = m.end() + insertions.append((len(curcode), + [(0, Generic.Prompt, line[:end])])) + curcode += line[end:] + else: + if curcode: + for item in do_insertions( + insertions, rblexer.get_tokens_unprocessed(curcode)): + yield item + curcode = '' + insertions = [] + yield match.start(), Generic.Output, line + if curcode: + for item in do_insertions( + insertions, rblexer.get_tokens_unprocessed(curcode)): + yield item + + +class FancyLexer(RegexLexer): + """ + Pygments Lexer For `Fancy `_. + + Fancy is a self-hosted, pure object-oriented, dynamic, + class-based, concurrent general-purpose programming language + running on Rubinius, the Ruby VM. + + .. versionadded:: 1.5 + """ + name = 'Fancy' + filenames = ['*.fy', '*.fancypack'] + aliases = ['fancy', 'fy'] + mimetypes = ['text/x-fancysrc'] + + tokens = { + # copied from PerlLexer: + 'balanced-regex': [ + (r'/(\\\\|\\/|[^/])*/[egimosx]*', String.Regex, '#pop'), + (r'!(\\\\|\\!|[^!])*![egimosx]*', String.Regex, '#pop'), + (r'\\(\\\\|[^\\])*\\[egimosx]*', String.Regex, '#pop'), + (r'\{(\\\\|\\\}|[^}])*\}[egimosx]*', String.Regex, '#pop'), + (r'<(\\\\|\\>|[^>])*>[egimosx]*', String.Regex, '#pop'), + (r'\[(\\\\|\\\]|[^\]])*\][egimosx]*', String.Regex, '#pop'), + (r'\((\\\\|\\\)|[^)])*\)[egimosx]*', String.Regex, '#pop'), + (r'@(\\\\|\\@|[^@])*@[egimosx]*', String.Regex, '#pop'), + (r'%(\\\\|\\%|[^%])*%[egimosx]*', String.Regex, '#pop'), + (r'\$(\\\\|\\\$|[^$])*\$[egimosx]*', String.Regex, '#pop'), + ], + 'root': [ + (r'\s+', Text), + + # balanced delimiters (copied from PerlLexer): + (r's\{(\\\\|\\\}|[^}])*\}\s*', String.Regex, 'balanced-regex'), + (r's<(\\\\|\\>|[^>])*>\s*', String.Regex, 'balanced-regex'), + (r's\[(\\\\|\\\]|[^\]])*\]\s*', String.Regex, 'balanced-regex'), + (r's\((\\\\|\\\)|[^)])*\)\s*', String.Regex, 'balanced-regex'), + (r'm?/(\\\\|\\/|[^/\n])*/[gcimosx]*', String.Regex), + (r'm(?=[/!\\{<\[(@%$])', String.Regex, 'balanced-regex'), + + # Comments + (r'#(.*?)\n', Comment.Single), + # Symbols + (r'\'([^\'\s\[\](){}]+|\[\])', String.Symbol), + # Multi-line DoubleQuotedString + (r'"""(\\\\|\\"|[^"])*"""', String), + # DoubleQuotedString + (r'"(\\\\|\\"|[^"])*"', String), + # keywords + (r'(def|class|try|catch|finally|retry|return|return_local|match|' + r'case|->|=>)\b', Keyword), + # constants + (r'(self|super|nil|false|true)\b', Name.Constant), + (r'[(){};,/?|:\\]', Punctuation), + # names + (words(( + 'Object', 'Array', 'Hash', 'Directory', 'File', 'Class', 'String', + 'Number', 'Enumerable', 'FancyEnumerable', 'Block', 'TrueClass', + 'NilClass', 'FalseClass', 'Tuple', 'Symbol', 'Stack', 'Set', + 'FancySpec', 'Method', 'Package', 'Range'), suffix=r'\b'), + Name.Builtin), + # functions + (r'[a-zA-Z](\w|[-+?!=*/^><%])*:', Name.Function), + # operators, must be below functions + (r'[-+*/~,<>=&!?%^\[\].$]+', Operator), + ('[A-Z]\w*', Name.Constant), + ('@[a-zA-Z_]\w*', Name.Variable.Instance), + ('@@[a-zA-Z_]\w*', Name.Variable.Class), + ('@@?', Operator), + ('[a-zA-Z_]\w*', Name), + # numbers - / checks are necessary to avoid mismarking regexes, + # see comment in RubyLexer + (r'(0[oO]?[0-7]+(?:_[0-7]+)*)(\s*)([/?])?', + bygroups(Number.Oct, Text, Operator)), + (r'(0[xX][0-9A-Fa-f]+(?:_[0-9A-Fa-f]+)*)(\s*)([/?])?', + bygroups(Number.Hex, Text, Operator)), + (r'(0[bB][01]+(?:_[01]+)*)(\s*)([/?])?', + bygroups(Number.Bin, Text, Operator)), + (r'([\d]+(?:_\d+)*)(\s*)([/?])?', + bygroups(Number.Integer, Text, Operator)), + (r'\d+([eE][+-]?[0-9]+)|\d+\.\d+([eE][+-]?[0-9]+)?', Number.Float), + (r'\d+', Number.Integer) + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rust.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rust.py new file mode 100644 index 0000000000000000000000000000000000000000..6914f54d69b96cf009e228e53a3b46dba0bc2649 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/rust.py @@ -0,0 +1,220 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.rust + ~~~~~~~~~~~~~~~~~~~~ + + Lexers for the Rust language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, include, bygroups, words, default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Whitespace + +__all__ = ['RustLexer'] + + +class RustLexer(RegexLexer): + """ + Lexer for the Rust programming language (version 1.10). + + .. versionadded:: 1.6 + """ + name = 'Rust' + filenames = ['*.rs', '*.rs.in'] + aliases = ['rust'] + mimetypes = ['text/rust'] + + keyword_types = ( + words(('u8', 'u16', 'u32', 'u64', 'i8', 'i16', 'i32', 'i64', + 'usize', 'isize', 'f32', 'f64', 'str', 'bool'), + suffix=r'\b'), + Keyword.Type) + + builtin_types = (words(( + # Reexported core operators + 'Copy', 'Send', 'Sized', 'Sync', + 'Drop', 'Fn', 'FnMut', 'FnOnce', + + # Reexported types and traits + 'Box', + 'ToOwned', + 'Clone', + 'PartialEq', 'PartialOrd', 'Eq', 'Ord', + 'AsRef', 'AsMut', 'Into', 'From', + 'Default', + 'Iterator', 'Extend', 'IntoIterator', + 'DoubleEndedIterator', 'ExactSizeIterator', + 'Option', + 'Some', 'None', + 'Result', + 'Ok', 'Err', + 'SliceConcatExt', + 'String', 'ToString', + 'Vec'), suffix=r'\b'), + Name.Builtin) + + tokens = { + 'root': [ + # rust allows a file to start with a shebang, but if the first line + # starts with #![ then it’s not a shebang but a crate attribute. + (r'#![^[\r\n].*$', Comment.Preproc), + default('base'), + ], + 'base': [ + # Whitespace and Comments + (r'\n', Whitespace), + (r'\s+', Whitespace), + (r'//!.*?\n', String.Doc), + (r'///(\n|[^/].*?\n)', String.Doc), + (r'//(.*?)\n', Comment.Single), + (r'/\*\*(\n|[^/*])', String.Doc, 'doccomment'), + (r'/\*!', String.Doc, 'doccomment'), + (r'/\*', Comment.Multiline, 'comment'), + + # Macro parameters + (r"""\$([a-zA-Z_]\w*|\(,?|\),?|,?)""", Comment.Preproc), + # Keywords + (words(( + 'as', 'box', 'const', 'crate', 'else', 'extern', + 'for', 'if', 'impl', 'in', 'loop', 'match', 'move', + 'mut', 'pub', 'ref', 'return', 'static', 'super', + 'trait', 'unsafe', 'use', 'where', 'while'), suffix=r'\b'), + Keyword), + (words(('abstract', 'alignof', 'become', 'do', 'final', 'macro', + 'offsetof', 'override', 'priv', 'proc', 'pure', 'sizeof', + 'typeof', 'unsized', 'virtual', 'yield'), suffix=r'\b'), + Keyword.Reserved), + (r'(true|false)\b', Keyword.Constant), + (r'mod\b', Keyword, 'modname'), + (r'let\b', Keyword.Declaration), + (r'fn\b', Keyword, 'funcname'), + (r'(struct|enum|type|union)\b', Keyword, 'typename'), + (r'(default)(\s+)(type|fn)\b', bygroups(Keyword, Text, Keyword)), + keyword_types, + (r'self\b', Name.Builtin.Pseudo), + # Prelude (taken from Rust’s src/libstd/prelude.rs) + builtin_types, + # Path seperators, so types don't catch them. + (r'::\b', Text), + # Types in positions. + (r'(?::|->)', Text, 'typename'), + # Labels + (r'(break|continue)(\s*)(\'[A-Za-z_]\w*)?', + bygroups(Keyword, Text.Whitespace, Name.Label)), + # Character Literal + (r"""'(\\['"\\nrt]|\\x[0-7][0-9a-fA-F]|\\0""" + r"""|\\u\{[0-9a-fA-F]{1,6}\}|.)'""", + String.Char), + (r"""b'(\\['"\\nrt]|\\x[0-9a-fA-F]{2}|\\0""" + r"""|\\u\{[0-9a-fA-F]{1,6}\}|.)'""", + String.Char), + # Binary Literal + (r'0b[01_]+', Number.Bin, 'number_lit'), + # Octal Literal + (r'0o[0-7_]+', Number.Oct, 'number_lit'), + # Hexadecimal Literal + (r'0[xX][0-9a-fA-F_]+', Number.Hex, 'number_lit'), + # Decimal Literal + (r'[0-9][0-9_]*(\.[0-9_]+[eE][+\-]?[0-9_]+|' + r'\.[0-9_]*(?!\.)|[eE][+\-]?[0-9_]+)', Number.Float, + 'number_lit'), + (r'[0-9][0-9_]*', Number.Integer, 'number_lit'), + # String Literal + (r'b"', String, 'bytestring'), + (r'"', String, 'string'), + (r'b?r(#*)".*?"\1', String), + + # Lifetime + (r"""'static""", Name.Builtin), + (r"""'[a-zA-Z_]\w*""", Name.Attribute), + + # Operators and Punctuation + (r'[{}()\[\],.;]', Punctuation), + (r'[+\-*/%&|<>^!~@=:?]', Operator), + + # Identifier + (r'[a-zA-Z_]\w*', Name), + + # Attributes + (r'#!?\[', Comment.Preproc, 'attribute['), + # Macros + (r'([A-Za-z_]\w*)(!)(\s*)([A-Za-z_]\w*)?(\s*)(\{)', + bygroups(Comment.Preproc, Punctuation, Whitespace, Name, + Whitespace, Punctuation), 'macro{'), + (r'([A-Za-z_]\w*)(!)(\s*)([A-Za-z_]\w*)?(\()', + bygroups(Comment.Preproc, Punctuation, Whitespace, Name, + Punctuation), 'macro('), + ], + 'comment': [ + (r'[^*/]+', Comment.Multiline), + (r'/\*', Comment.Multiline, '#push'), + (r'\*/', Comment.Multiline, '#pop'), + (r'[*/]', Comment.Multiline), + ], + 'doccomment': [ + (r'[^*/]+', String.Doc), + (r'/\*', String.Doc, '#push'), + (r'\*/', String.Doc, '#pop'), + (r'[*/]', String.Doc), + ], + 'modname': [ + (r'\s+', Text), + (r'[a-zA-Z_]\w*', Name.Namespace, '#pop'), + default('#pop'), + ], + 'funcname': [ + (r'\s+', Text), + (r'[a-zA-Z_]\w*', Name.Function, '#pop'), + default('#pop'), + ], + 'typename': [ + (r'\s+', Text), + (r'&', Keyword.Pseudo), + builtin_types, + keyword_types, + (r'[a-zA-Z_]\w*', Name.Class, '#pop'), + default('#pop'), + ], + 'number_lit': [ + (r'[ui](8|16|32|64|size)', Keyword, '#pop'), + (r'f(32|64)', Keyword, '#pop'), + default('#pop'), + ], + 'string': [ + (r'"', String, '#pop'), + (r"""\\['"\\nrt]|\\x[0-7][0-9a-fA-F]|\\0""" + r"""|\\u\{[0-9a-fA-F]{1,6}\}""", String.Escape), + (r'[^\\"]+', String), + (r'\\', String), + ], + 'bytestring': [ + (r"""\\x[89a-fA-F][0-9a-fA-F]""", String.Escape), + include('string'), + ], + 'macro{': [ + (r'\{', Operator, '#push'), + (r'\}', Operator, '#pop'), + ], + 'macro(': [ + (r'\(', Operator, '#push'), + (r'\)', Operator, '#pop'), + ], + 'attribute_common': [ + (r'"', String, 'string'), + (r'\[', Comment.Preproc, 'attribute['), + (r'\(', Comment.Preproc, 'attribute('), + ], + 'attribute[': [ + include('attribute_common'), + (r'\];?', Comment.Preproc, '#pop'), + (r'[^"\]]+', Comment.Preproc), + ], + 'attribute(': [ + include('attribute_common'), + (r'\);?', Comment.Preproc, '#pop'), + (r'[^")]+', Comment.Preproc), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/sas.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/sas.py new file mode 100644 index 0000000000000000000000000000000000000000..3747ed9ab8af521565d698d2b59e204b48e596d7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/sas.py @@ -0,0 +1,228 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.sas + ~~~~~~~~~~~~~~~~~~~ + + Lexer for SAS. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re +from pygments.lexer import RegexLexer, include, words +from pygments.token import Comment, Keyword, Name, Number, String, Text, \ + Other, Generic + +__all__ = ['SASLexer'] + + +class SASLexer(RegexLexer): + """ + For `SAS `_ files. + + .. versionadded:: 2.2 + """ + # Syntax from syntax/sas.vim by James Kidd + + name = 'SAS' + aliases = ['sas'] + filenames = ['*.SAS', '*.sas'] + mimetypes = ['text/x-sas', 'text/sas', 'application/x-sas'] + flags = re.IGNORECASE | re.MULTILINE + + builtins_macros = ( + "bquote", "nrbquote", "cmpres", "qcmpres", "compstor", "datatyp", + "display", "do", "else", "end", "eval", "global", "goto", "if", + "index", "input", "keydef", "label", "left", "length", "let", + "local", "lowcase", "macro", "mend", "nrquote", + "nrstr", "put", "qleft", "qlowcase", "qscan", + "qsubstr", "qsysfunc", "qtrim", "quote", "qupcase", "scan", + "str", "substr", "superq", "syscall", "sysevalf", "sysexec", + "sysfunc", "sysget", "syslput", "sysprod", "sysrc", "sysrput", + "then", "to", "trim", "unquote", "until", "upcase", "verify", + "while", "window" + ) + + builtins_conditionals = ( + "do", "if", "then", "else", "end", "until", "while" + ) + + builtins_statements = ( + "abort", "array", "attrib", "by", "call", "cards", "cards4", + "catname", "continue", "datalines", "datalines4", "delete", "delim", + "delimiter", "display", "dm", "drop", "endsas", "error", "file", + "filename", "footnote", "format", "goto", "in", "infile", "informat", + "input", "keep", "label", "leave", "length", "libname", "link", + "list", "lostcard", "merge", "missing", "modify", "options", "output", + "out", "page", "put", "redirect", "remove", "rename", "replace", + "retain", "return", "select", "set", "skip", "startsas", "stop", + "title", "update", "waitsas", "where", "window", "x", "systask" + ) + + builtins_sql = ( + "add", "and", "alter", "as", "cascade", "check", "create", + "delete", "describe", "distinct", "drop", "foreign", "from", + "group", "having", "index", "insert", "into", "in", "key", "like", + "message", "modify", "msgtype", "not", "null", "on", "or", + "order", "primary", "references", "reset", "restrict", "select", + "set", "table", "unique", "update", "validate", "view", "where" + ) + + builtins_functions = ( + "abs", "addr", "airy", "arcos", "arsin", "atan", "attrc", + "attrn", "band", "betainv", "blshift", "bnot", "bor", + "brshift", "bxor", "byte", "cdf", "ceil", "cexist", "cinv", + "close", "cnonct", "collate", "compbl", "compound", + "compress", "cos", "cosh", "css", "curobs", "cv", "daccdb", + "daccdbsl", "daccsl", "daccsyd", "dacctab", "dairy", "date", + "datejul", "datepart", "datetime", "day", "dclose", "depdb", + "depdbsl", "depsl", "depsyd", + "deptab", "dequote", "dhms", "dif", "digamma", + "dim", "dinfo", "dnum", "dopen", "doptname", "doptnum", + "dread", "dropnote", "dsname", "erf", "erfc", "exist", "exp", + "fappend", "fclose", "fcol", "fdelete", "fetch", "fetchobs", + "fexist", "fget", "fileexist", "filename", "fileref", + "finfo", "finv", "fipname", "fipnamel", "fipstate", "floor", + "fnonct", "fnote", "fopen", "foptname", "foptnum", "fpoint", + "fpos", "fput", "fread", "frewind", "frlen", "fsep", "fuzz", + "fwrite", "gaminv", "gamma", "getoption", "getvarc", "getvarn", + "hbound", "hms", "hosthelp", "hour", "ibessel", "index", + "indexc", "indexw", "input", "inputc", "inputn", "int", + "intck", "intnx", "intrr", "irr", "jbessel", "juldate", + "kurtosis", "lag", "lbound", "left", "length", "lgamma", + "libname", "libref", "log", "log10", "log2", "logpdf", "logpmf", + "logsdf", "lowcase", "max", "mdy", "mean", "min", "minute", + "mod", "month", "mopen", "mort", "n", "netpv", "nmiss", + "normal", "note", "npv", "open", "ordinal", "pathname", + "pdf", "peek", "peekc", "pmf", "point", "poisson", "poke", + "probbeta", "probbnml", "probchi", "probf", "probgam", + "probhypr", "probit", "probnegb", "probnorm", "probt", + "put", "putc", "putn", "qtr", "quote", "ranbin", "rancau", + "ranexp", "rangam", "range", "rank", "rannor", "ranpoi", + "rantbl", "rantri", "ranuni", "repeat", "resolve", "reverse", + "rewind", "right", "round", "saving", "scan", "sdf", "second", + "sign", "sin", "sinh", "skewness", "soundex", "spedis", + "sqrt", "std", "stderr", "stfips", "stname", "stnamel", + "substr", "sum", "symget", "sysget", "sysmsg", "sysprod", + "sysrc", "system", "tan", "tanh", "time", "timepart", "tinv", + "tnonct", "today", "translate", "tranwrd", "trigamma", + "trim", "trimn", "trunc", "uniform", "upcase", "uss", "var", + "varfmt", "varinfmt", "varlabel", "varlen", "varname", + "varnum", "varray", "varrayx", "vartype", "verify", "vformat", + "vformatd", "vformatdx", "vformatn", "vformatnx", "vformatw", + "vformatwx", "vformatx", "vinarray", "vinarrayx", "vinformat", + "vinformatd", "vinformatdx", "vinformatn", "vinformatnx", + "vinformatw", "vinformatwx", "vinformatx", "vlabel", + "vlabelx", "vlength", "vlengthx", "vname", "vnamex", "vtype", + "vtypex", "weekday", "year", "yyq", "zipfips", "zipname", + "zipnamel", "zipstate" + ) + + tokens = { + 'root': [ + include('comments'), + include('proc-data'), + include('cards-datalines'), + include('logs'), + include('general'), + (r'.', Text), + ], + # SAS is multi-line regardless, but * is ended by ; + 'comments': [ + (r'^\s*\*.*?;', Comment), + (r'/\*.*?\*/', Comment), + (r'^\s*\*(.|\n)*?;', Comment.Multiline), + (r'/[*](.|\n)*?[*]/', Comment.Multiline), + ], + # Special highlight for proc, data, quit, run + 'proc-data': [ + (r'(^|;)\s*(proc \w+|data|run|quit)[\s;]', + Keyword.Reserved), + ], + # Special highlight cards and datalines + 'cards-datalines': [ + (r'^\s*(datalines|cards)\s*;\s*$', Keyword, 'data'), + ], + 'data': [ + (r'(.|\n)*^\s*;\s*$', Other, '#pop'), + ], + # Special highlight for put NOTE|ERROR|WARNING (order matters) + 'logs': [ + (r'\n?^\s*%?put ', Keyword, 'log-messages'), + ], + 'log-messages': [ + (r'NOTE(:|-).*', Generic, '#pop'), + (r'WARNING(:|-).*', Generic.Emph, '#pop'), + (r'ERROR(:|-).*', Generic.Error, '#pop'), + include('general'), + ], + 'general': [ + include('keywords'), + include('vars-strings'), + include('special'), + include('numbers'), + ], + # Keywords, statements, functions, macros + 'keywords': [ + (words(builtins_statements, + prefix = r'\b', + suffix = r'\b'), + Keyword), + (words(builtins_sql, + prefix = r'\b', + suffix = r'\b'), + Keyword), + (words(builtins_conditionals, + prefix = r'\b', + suffix = r'\b'), + Keyword), + (words(builtins_macros, + prefix = r'%', + suffix = r'\b'), + Name.Builtin), + (words(builtins_functions, + prefix = r'\b', + suffix = r'\('), + Name.Builtin), + ], + # Strings and user-defined variables and macros (order matters) + 'vars-strings': [ + (r'&[a-z_]\w{0,31}\.?', Name.Variable), + (r'%[a-z_]\w{0,31}', Name.Function), + (r'\'', String, 'string_squote'), + (r'"', String, 'string_dquote'), + ], + 'string_squote': [ + ('\'', String, '#pop'), + (r'\\\\|\\"|\\\n', String.Escape), + # AFAIK, macro variables are not evaluated in single quotes + # (r'&', Name.Variable, 'validvar'), + (r'[^$\'\\]+', String), + (r'[$\'\\]', String), + ], + 'string_dquote': [ + (r'"', String, '#pop'), + (r'\\\\|\\"|\\\n', String.Escape), + (r'&', Name.Variable, 'validvar'), + (r'[^$&"\\]+', String), + (r'[$"\\]', String), + ], + 'validvar': [ + (r'[a-z_]\w{0,31}\.?', Name.Variable, '#pop'), + ], + # SAS numbers and special variables + 'numbers': [ + (r'\b[+-]?([0-9]+(\.[0-9]+)?|\.[0-9]+|\.)(E[+-]?[0-9]+)?i?\b', + Number), + ], + 'special': [ + (r'(null|missing|_all_|_automatic_|_character_|_n_|' + r'_infile_|_name_|_null_|_numeric_|_user_|_webout_)', + Keyword.Constant), + ], + # 'operators': [ + # (r'(-|=|<=|>=|<|>|<>|&|!=|' + # r'\||\*|\+|\^|/|!|~|~=)', Operator) + # ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/scripting.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/scripting.py new file mode 100644 index 0000000000000000000000000000000000000000..b3af606e981b310e68dd6169bae1f159371d2126 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/scripting.py @@ -0,0 +1,1222 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.scripting + ~~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexer for scripting and embedded languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import RegexLexer, include, bygroups, default, combined, \ + words +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation, Error, Whitespace, Other +from pygments.util import get_bool_opt, get_list_opt, iteritems + +__all__ = ['LuaLexer', 'MoonScriptLexer', 'ChaiscriptLexer', 'LSLLexer', + 'AppleScriptLexer', 'RexxLexer', 'MOOCodeLexer', 'HybrisLexer', + 'EasytrieveLexer', 'JclLexer'] + + +class LuaLexer(RegexLexer): + """ + For `Lua `_ source code. + + Additional options accepted: + + `func_name_highlighting` + If given and ``True``, highlight builtin function names + (default: ``True``). + `disabled_modules` + If given, must be a list of module names whose function names + should not be highlighted. By default all modules are highlighted. + + To get a list of allowed modules have a look into the + `_lua_builtins` module: + + .. sourcecode:: pycon + + >>> from pygments.lexers._lua_builtins import MODULES + >>> MODULES.keys() + ['string', 'coroutine', 'modules', 'io', 'basic', ...] + """ + + name = 'Lua' + aliases = ['lua'] + filenames = ['*.lua', '*.wlua'] + mimetypes = ['text/x-lua', 'application/x-lua'] + + _comment_multiline = r'(?:--\[(?P=*)\[[\w\W]*?\](?P=level)\])' + _comment_single = r'(?:--.*$)' + _space = r'(?:\s+)' + _s = r'(?:%s|%s|%s)' % (_comment_multiline, _comment_single, _space) + _name = r'(?:[^\W\d]\w*)' + + tokens = { + 'root': [ + # Lua allows a file to start with a shebang. + (r'#!.*', Comment.Preproc), + default('base'), + ], + 'ws': [ + (_comment_multiline, Comment.Multiline), + (_comment_single, Comment.Single), + (_space, Text), + ], + 'base': [ + include('ws'), + + (r'(?i)0x[\da-f]*(\.[\da-f]*)?(p[+-]?\d+)?', Number.Hex), + (r'(?i)(\d*\.\d+|\d+\.\d*)(e[+-]?\d+)?', Number.Float), + (r'(?i)\d+e[+-]?\d+', Number.Float), + (r'\d+', Number.Integer), + + # multiline strings + (r'(?s)\[(=*)\[.*?\]\1\]', String), + + (r'::', Punctuation, 'label'), + (r'\.{3}', Punctuation), + (r'[=<>|~&+\-*/%#^]+|\.\.', Operator), + (r'[\[\]{}().,:;]', Punctuation), + (r'(and|or|not)\b', Operator.Word), + + ('(break|do|else|elseif|end|for|if|in|repeat|return|then|until|' + r'while)\b', Keyword.Reserved), + (r'goto\b', Keyword.Reserved, 'goto'), + (r'(local)\b', Keyword.Declaration), + (r'(true|false|nil)\b', Keyword.Constant), + + (r'(function)\b', Keyword.Reserved, 'funcname'), + + (r'[A-Za-z_]\w*(\.[A-Za-z_]\w*)?', Name), + + ("'", String.Single, combined('stringescape', 'sqs')), + ('"', String.Double, combined('stringescape', 'dqs')) + ], + + 'funcname': [ + include('ws'), + (r'[.:]', Punctuation), + (r'%s(?=%s*[.:])' % (_name, _s), Name.Class), + (_name, Name.Function, '#pop'), + # inline function + ('\(', Punctuation, '#pop'), + ], + + 'goto': [ + include('ws'), + (_name, Name.Label, '#pop'), + ], + + 'label': [ + include('ws'), + (r'::', Punctuation, '#pop'), + (_name, Name.Label), + ], + + 'stringescape': [ + (r'\\([abfnrtv\\"\']|[\r\n]{1,2}|z\s*|x[0-9a-fA-F]{2}|\d{1,3}|' + r'u\{[0-9a-fA-F]+\})', String.Escape), + ], + + 'sqs': [ + (r"'", String.Single, '#pop'), + (r"[^\\']+", String.Single), + ], + + 'dqs': [ + (r'"', String.Double, '#pop'), + (r'[^\\"]+', String.Double), + ] + } + + def __init__(self, **options): + self.func_name_highlighting = get_bool_opt( + options, 'func_name_highlighting', True) + self.disabled_modules = get_list_opt(options, 'disabled_modules', []) + + self._functions = set() + if self.func_name_highlighting: + from pygments.lexers._lua_builtins import MODULES + for mod, func in iteritems(MODULES): + if mod not in self.disabled_modules: + self._functions.update(func) + RegexLexer.__init__(self, **options) + + def get_tokens_unprocessed(self, text): + for index, token, value in \ + RegexLexer.get_tokens_unprocessed(self, text): + if token is Name: + if value in self._functions: + yield index, Name.Builtin, value + continue + elif '.' in value: + a, b = value.split('.') + yield index, Name, a + yield index + len(a), Punctuation, u'.' + yield index + len(a) + 1, Name, b + continue + yield index, token, value + + +class MoonScriptLexer(LuaLexer): + """ + For `MoonScript `_ source code. + + .. versionadded:: 1.5 + """ + + name = "MoonScript" + aliases = ["moon", "moonscript"] + filenames = ["*.moon"] + mimetypes = ['text/x-moonscript', 'application/x-moonscript'] + + tokens = { + 'root': [ + (r'#!(.*?)$', Comment.Preproc), + default('base'), + ], + 'base': [ + ('--.*$', Comment.Single), + (r'(?i)(\d*\.\d+|\d+\.\d*)(e[+-]?\d+)?', Number.Float), + (r'(?i)\d+e[+-]?\d+', Number.Float), + (r'(?i)0x[0-9a-f]*', Number.Hex), + (r'\d+', Number.Integer), + (r'\n', Text), + (r'[^\S\n]+', Text), + (r'(?s)\[(=*)\[.*?\]\1\]', String), + (r'(->|=>)', Name.Function), + (r':[a-zA-Z_]\w*', Name.Variable), + (r'(==|!=|~=|<=|>=|\.\.\.|\.\.|[=+\-*/%^<>#!.\\:])', Operator), + (r'[;,]', Punctuation), + (r'[\[\]{}()]', Keyword.Type), + (r'[a-zA-Z_]\w*:', Name.Variable), + (words(( + 'class', 'extends', 'if', 'then', 'super', 'do', 'with', + 'import', 'export', 'while', 'elseif', 'return', 'for', 'in', + 'from', 'when', 'using', 'else', 'and', 'or', 'not', 'switch', + 'break'), suffix=r'\b'), + Keyword), + (r'(true|false|nil)\b', Keyword.Constant), + (r'(and|or|not)\b', Operator.Word), + (r'(self)\b', Name.Builtin.Pseudo), + (r'@@?([a-zA-Z_]\w*)?', Name.Variable.Class), + (r'[A-Z]\w*', Name.Class), # proper name + (r'[A-Za-z_]\w*(\.[A-Za-z_]\w*)?', Name), + ("'", String.Single, combined('stringescape', 'sqs')), + ('"', String.Double, combined('stringescape', 'dqs')) + ], + 'stringescape': [ + (r'''\\([abfnrtv\\"']|\d{1,3})''', String.Escape) + ], + 'sqs': [ + ("'", String.Single, '#pop'), + (".", String) + ], + 'dqs': [ + ('"', String.Double, '#pop'), + (".", String) + ] + } + + def get_tokens_unprocessed(self, text): + # set . as Operator instead of Punctuation + for index, token, value in LuaLexer.get_tokens_unprocessed(self, text): + if token == Punctuation and value == ".": + token = Operator + yield index, token, value + + +class ChaiscriptLexer(RegexLexer): + """ + For `ChaiScript `_ source code. + + .. versionadded:: 2.0 + """ + + name = 'ChaiScript' + aliases = ['chai', 'chaiscript'] + filenames = ['*.chai'] + mimetypes = ['text/x-chaiscript', 'application/x-chaiscript'] + + flags = re.DOTALL | re.MULTILINE + + tokens = { + 'commentsandwhitespace': [ + (r'\s+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + (r'^\#.*?\n', Comment.Single) + ], + 'slashstartsregex': [ + include('commentsandwhitespace'), + (r'/(\\.|[^[/\\\n]|\[(\\.|[^\]\\\n])*])+/' + r'([gim]+\b|\B)', String.Regex, '#pop'), + (r'(?=/)', Text, ('#pop', 'badregex')), + default('#pop') + ], + 'badregex': [ + (r'\n', Text, '#pop') + ], + 'root': [ + include('commentsandwhitespace'), + (r'\n', Text), + (r'[^\S\n]+', Text), + (r'\+\+|--|~|&&|\?|:|\|\||\\(?=\n)|\.\.' + r'(<<|>>>?|==?|!=?|[-<>+*%&|^/])=?', Operator, 'slashstartsregex'), + (r'[{(\[;,]', Punctuation, 'slashstartsregex'), + (r'[})\].]', Punctuation), + (r'[=+\-*/]', Operator), + (r'(for|in|while|do|break|return|continue|if|else|' + r'throw|try|catch' + r')\b', Keyword, 'slashstartsregex'), + (r'(var)\b', Keyword.Declaration, 'slashstartsregex'), + (r'(attr|def|fun)\b', Keyword.Reserved), + (r'(true|false)\b', Keyword.Constant), + (r'(eval|throw)\b', Name.Builtin), + (r'`\S+`', Name.Builtin), + (r'[$a-zA-Z_]\w*', Name.Other), + (r'[0-9][0-9]*\.[0-9]+([eE][0-9]+)?[fd]?', Number.Float), + (r'0x[0-9a-fA-F]+', Number.Hex), + (r'[0-9]+', Number.Integer), + (r'"', String.Double, 'dqstring'), + (r"'(\\\\|\\'|[^'])*'", String.Single), + ], + 'dqstring': [ + (r'\$\{[^"}]+?\}', String.Interpol), + (r'\$', String.Double), + (r'\\\\', String.Double), + (r'\\"', String.Double), + (r'[^\\"$]+', String.Double), + (r'"', String.Double, '#pop'), + ], + } + + +class LSLLexer(RegexLexer): + """ + For Second Life's Linden Scripting Language source code. + + .. versionadded:: 2.0 + """ + + name = 'LSL' + aliases = ['lsl'] + filenames = ['*.lsl'] + mimetypes = ['text/x-lsl'] + + flags = re.MULTILINE + + lsl_keywords = r'\b(?:do|else|for|if|jump|return|while)\b' + lsl_types = r'\b(?:float|integer|key|list|quaternion|rotation|string|vector)\b' + lsl_states = r'\b(?:(?:state)\s+\w+|default)\b' + lsl_events = r'\b(?:state_(?:entry|exit)|touch(?:_(?:start|end))?|(?:land_)?collision(?:_(?:start|end))?|timer|listen|(?:no_)?sensor|control|(?:not_)?at_(?:rot_)?target|money|email|run_time_permissions|changed|attach|dataserver|moving_(?:start|end)|link_message|(?:on|object)_rez|remote_data|http_re(?:sponse|quest)|path_update|transaction_result)\b' + lsl_functions_builtin = r'\b(?:ll(?:ReturnObjectsBy(?:ID|Owner)|Json(?:2List|[GS]etValue|ValueType)|Sin|Cos|Tan|Atan2|Sqrt|Pow|Abs|Fabs|Frand|Floor|Ceil|Round|Vec(?:Mag|Norm|Dist)|Rot(?:Between|2(?:Euler|Fwd|Left|Up))|(?:Euler|Axes)2Rot|Whisper|(?:Region|Owner)?Say|Shout|Listen(?:Control|Remove)?|Sensor(?:Repeat|Remove)?|Detected(?:Name|Key|Owner|Type|Pos|Vel|Grab|Rot|Group|LinkNumber)|Die|Ground|Wind|(?:[GS]et)(?:AnimationOverride|MemoryLimit|PrimMediaParams|ParcelMusicURL|Object(?:Desc|Name)|PhysicsMaterial|Status|Scale|Color|Alpha|Texture|Pos|Rot|Force|Torque)|ResetAnimationOverride|(?:Scale|Offset|Rotate)Texture|(?:Rot)?Target(?:Remove)?|(?:Stop)?MoveToTarget|Apply(?:Rotational)?Impulse|Set(?:KeyframedMotion|ContentType|RegionPos|(?:Angular)?Velocity|Buoyancy|HoverHeight|ForceAndTorque|TimerEvent|ScriptState|Damage|TextureAnim|Sound(?:Queueing|Radius)|Vehicle(?:Type|(?:Float|Vector|Rotation)Param)|(?:Touch|Sit)?Text|Camera(?:Eye|At)Offset|PrimitiveParams|ClickAction|Link(?:Alpha|Color|PrimitiveParams(?:Fast)?|Texture(?:Anim)?|Camera|Media)|RemoteScriptAccessPin|PayPrice|LocalRot)|ScaleByFactor|Get(?:(?:Max|Min)ScaleFactor|ClosestNavPoint|StaticPath|SimStats|Env|PrimitiveParams|Link(?:PrimitiveParams|Number(?:OfSides)?|Key|Name|Media)|HTTPHeader|FreeURLs|Object(?:Details|PermMask|PrimCount)|Parcel(?:MaxPrims|Details|Prim(?:Count|Owners))|Attached|(?:SPMax|Free|Used)Memory|Region(?:Name|TimeDilation|FPS|Corner|AgentCount)|Root(?:Position|Rotation)|UnixTime|(?:Parcel|Region)Flags|(?:Wall|GMT)clock|SimulatorHostname|BoundingBox|GeometricCenter|Creator|NumberOf(?:Prims|NotecardLines|Sides)|Animation(?:List)?|(?:Camera|Local)(?:Pos|Rot)|Vel|Accel|Omega|Time(?:stamp|OfDay)|(?:Object|CenterOf)?Mass|MassMKS|Energy|Owner|(?:Owner)?Key|SunDirection|Texture(?:Offset|Scale|Rot)|Inventory(?:Number|Name|Key|Type|Creator|PermMask)|Permissions(?:Key)?|StartParameter|List(?:Length|EntryType)|Date|Agent(?:Size|Info|Language|List)|LandOwnerAt|NotecardLine|Script(?:Name|State))|(?:Get|Reset|GetAndReset)Time|PlaySound(?:Slave)?|LoopSound(?:Master|Slave)?|(?:Trigger|Stop|Preload)Sound|(?:(?:Get|Delete)Sub|Insert)String|To(?:Upper|Lower)|Give(?:InventoryList|Money)|RezObject|(?:Stop)?LookAt|Sleep|CollisionFilter|(?:Take|Release)Controls|DetachFromAvatar|AttachToAvatar(?:Temp)?|InstantMessage|(?:GetNext)?Email|StopHover|MinEventDelay|RotLookAt|String(?:Length|Trim)|(?:Start|Stop)Animation|TargetOmega|RequestPermissions|(?:Create|Break)Link|BreakAllLinks|(?:Give|Remove)Inventory|Water|PassTouches|Request(?:Agent|Inventory)Data|TeleportAgent(?:Home|GlobalCoords)?|ModifyLand|CollisionSound|ResetScript|MessageLinked|PushObject|PassCollisions|AxisAngle2Rot|Rot2(?:Axis|Angle)|A(?:cos|sin)|AngleBetween|AllowInventoryDrop|SubStringIndex|List2(?:CSV|Integer|Json|Float|String|Key|Vector|Rot|List(?:Strided)?)|DeleteSubList|List(?:Statistics|Sort|Randomize|(?:Insert|Find|Replace)List)|EdgeOfWorld|AdjustSoundVolume|Key2Name|TriggerSoundLimited|EjectFromLand|(?:CSV|ParseString)2List|OverMyLand|SameGroup|UnSit|Ground(?:Slope|Normal|Contour)|GroundRepel|(?:Set|Remove)VehicleFlags|(?:AvatarOn)?(?:Link)?SitTarget|Script(?:Danger|Profiler)|Dialog|VolumeDetect|ResetOtherScript|RemoteLoadScriptPin|(?:Open|Close)RemoteDataChannel|SendRemoteData|RemoteDataReply|(?:Integer|String)ToBase64|XorBase64|Log(?:10)?|Base64To(?:String|Integer)|ParseStringKeepNulls|RezAtRoot|RequestSimulatorData|ForceMouselook|(?:Load|Release|(?:E|Une)scape)URL|ParcelMedia(?:CommandList|Query)|ModPow|MapDestination|(?:RemoveFrom|AddTo|Reset)Land(?:Pass|Ban)List|(?:Set|Clear)CameraParams|HTTP(?:Request|Response)|TextBox|DetectedTouch(?:UV|Face|Pos|(?:N|Bin)ormal|ST)|(?:MD5|SHA1|DumpList2)String|Request(?:Secure)?URL|Clear(?:Prim|Link)Media|(?:Link)?ParticleSystem|(?:Get|Request)(?:Username|DisplayName)|RegionSayTo|CastRay|GenerateKey|TransferLindenDollars|ManageEstateAccess|(?:Create|Delete)Character|ExecCharacterCmd|Evade|FleeFrom|NavigateTo|PatrolPoints|Pursue|UpdateCharacter|WanderWithin))\b' + lsl_constants_float = r'\b(?:DEG_TO_RAD|PI(?:_BY_TWO)?|RAD_TO_DEG|SQRT2|TWO_PI)\b' + lsl_constants_integer = r'\b(?:JSON_APPEND|STATUS_(?:PHYSICS|ROTATE_[XYZ]|PHANTOM|SANDBOX|BLOCK_GRAB(?:_OBJECT)?|(?:DIE|RETURN)_AT_EDGE|CAST_SHADOWS|OK|MALFORMED_PARAMS|TYPE_MISMATCH|BOUNDS_ERROR|NOT_(?:FOUND|SUPPORTED)|INTERNAL_ERROR|WHITELIST_FAILED)|AGENT(?:_(?:BY_(?:LEGACY_|USER)NAME|FLYING|ATTACHMENTS|SCRIPTED|MOUSELOOK|SITTING|ON_OBJECT|AWAY|WALKING|IN_AIR|TYPING|CROUCHING|BUSY|ALWAYS_RUN|AUTOPILOT|LIST_(?:PARCEL(?:_OWNER)?|REGION)))?|CAMERA_(?:PITCH|DISTANCE|BEHINDNESS_(?:ANGLE|LAG)|(?:FOCUS|POSITION)(?:_(?:THRESHOLD|LOCKED|LAG))?|FOCUS_OFFSET|ACTIVE)|ANIM_ON|LOOP|REVERSE|PING_PONG|SMOOTH|ROTATE|SCALE|ALL_SIDES|LINK_(?:ROOT|SET|ALL_(?:OTHERS|CHILDREN)|THIS)|ACTIVE|PASSIVE|SCRIPTED|CONTROL_(?:FWD|BACK|(?:ROT_)?(?:LEFT|RIGHT)|UP|DOWN|(?:ML_)?LBUTTON)|PERMISSION_(?:RETURN_OBJECTS|DEBIT|OVERRIDE_ANIMATIONS|SILENT_ESTATE_MANAGEMENT|TAKE_CONTROLS|TRIGGER_ANIMATION|ATTACH|CHANGE_LINKS|(?:CONTROL|TRACK)_CAMERA|TELEPORT)|INVENTORY_(?:TEXTURE|SOUND|OBJECT|SCRIPT|LANDMARK|CLOTHING|NOTECARD|BODYPART|ANIMATION|GESTURE|ALL|NONE)|CHANGED_(?:INVENTORY|COLOR|SHAPE|SCALE|TEXTURE|LINK|ALLOWED_DROP|OWNER|REGION(?:_START)?|TELEPORT|MEDIA)|OBJECT_(?:(?:PHYSICS|SERVER|STREAMING)_COST|UNKNOWN_DETAIL|CHARACTER_TIME|PHANTOM|PHYSICS|TEMP_ON_REZ|NAME|DESC|POS|PRIM_EQUIVALENCE|RETURN_(?:PARCEL(?:_OWNER)?|REGION)|ROO?T|VELOCITY|OWNER|GROUP|CREATOR|ATTACHED_POINT|RENDER_WEIGHT|PATHFINDING_TYPE|(?:RUNNING|TOTAL)_SCRIPT_COUNT|SCRIPT_(?:MEMORY|TIME))|TYPE_(?:INTEGER|FLOAT|STRING|KEY|VECTOR|ROTATION|INVALID)|(?:DEBUG|PUBLIC)_CHANNEL|ATTACH_(?:AVATAR_CENTER|CHEST|HEAD|BACK|PELVIS|MOUTH|CHIN|NECK|NOSE|BELLY|[LR](?:SHOULDER|HAND|FOOT|EAR|EYE|[UL](?:ARM|LEG)|HIP)|(?:LEFT|RIGHT)_PEC|HUD_(?:CENTER_[12]|TOP_(?:RIGHT|CENTER|LEFT)|BOTTOM(?:_(?:RIGHT|LEFT))?))|LAND_(?:LEVEL|RAISE|LOWER|SMOOTH|NOISE|REVERT)|DATA_(?:ONLINE|NAME|BORN|SIM_(?:POS|STATUS|RATING)|PAYINFO)|PAYMENT_INFO_(?:ON_FILE|USED)|REMOTE_DATA_(?:CHANNEL|REQUEST|REPLY)|PSYS_(?:PART_(?:BF_(?:ZERO|ONE(?:_MINUS_(?:DEST_COLOR|SOURCE_(ALPHA|COLOR)))?|DEST_COLOR|SOURCE_(ALPHA|COLOR))|BLEND_FUNC_(DEST|SOURCE)|FLAGS|(?:START|END)_(?:COLOR|ALPHA|SCALE|GLOW)|MAX_AGE|(?:RIBBON|WIND|INTERP_(?:COLOR|SCALE)|BOUNCE|FOLLOW_(?:SRC|VELOCITY)|TARGET_(?:POS|LINEAR)|EMISSIVE)_MASK)|SRC_(?:MAX_AGE|PATTERN|ANGLE_(?:BEGIN|END)|BURST_(?:RATE|PART_COUNT|RADIUS|SPEED_(?:MIN|MAX))|ACCEL|TEXTURE|TARGET_KEY|OMEGA|PATTERN_(?:DROP|EXPLODE|ANGLE(?:_CONE(?:_EMPTY)?)?)))|VEHICLE_(?:REFERENCE_FRAME|TYPE_(?:NONE|SLED|CAR|BOAT|AIRPLANE|BALLOON)|(?:LINEAR|ANGULAR)_(?:FRICTION_TIMESCALE|MOTOR_DIRECTION)|LINEAR_MOTOR_OFFSET|HOVER_(?:HEIGHT|EFFICIENCY|TIMESCALE)|BUOYANCY|(?:LINEAR|ANGULAR)_(?:DEFLECTION_(?:EFFICIENCY|TIMESCALE)|MOTOR_(?:DECAY_)?TIMESCALE)|VERTICAL_ATTRACTION_(?:EFFICIENCY|TIMESCALE)|BANKING_(?:EFFICIENCY|MIX|TIMESCALE)|FLAG_(?:NO_DEFLECTION_UP|LIMIT_(?:ROLL_ONLY|MOTOR_UP)|HOVER_(?:(?:WATER|TERRAIN|UP)_ONLY|GLOBAL_HEIGHT)|MOUSELOOK_(?:STEER|BANK)|CAMERA_DECOUPLED))|PRIM_(?:TYPE(?:_(?:BOX|CYLINDER|PRISM|SPHERE|TORUS|TUBE|RING|SCULPT))?|HOLE_(?:DEFAULT|CIRCLE|SQUARE|TRIANGLE)|MATERIAL(?:_(?:STONE|METAL|GLASS|WOOD|FLESH|PLASTIC|RUBBER))?|SHINY_(?:NONE|LOW|MEDIUM|HIGH)|BUMP_(?:NONE|BRIGHT|DARK|WOOD|BARK|BRICKS|CHECKER|CONCRETE|TILE|STONE|DISKS|GRAVEL|BLOBS|SIDING|LARGETILE|STUCCO|SUCTION|WEAVE)|TEXGEN_(?:DEFAULT|PLANAR)|SCULPT_(?:TYPE_(?:SPHERE|TORUS|PLANE|CYLINDER|MASK)|FLAG_(?:MIRROR|INVERT))|PHYSICS(?:_(?:SHAPE_(?:CONVEX|NONE|PRIM|TYPE)))?|(?:POS|ROT)_LOCAL|SLICE|TEXT|FLEXIBLE|POINT_LIGHT|TEMP_ON_REZ|PHANTOM|POSITION|SIZE|ROTATION|TEXTURE|NAME|OMEGA|DESC|LINK_TARGET|COLOR|BUMP_SHINY|FULLBRIGHT|TEXGEN|GLOW|MEDIA_(?:ALT_IMAGE_ENABLE|CONTROLS|(?:CURRENT|HOME)_URL|AUTO_(?:LOOP|PLAY|SCALE|ZOOM)|FIRST_CLICK_INTERACT|(?:WIDTH|HEIGHT)_PIXELS|WHITELIST(?:_ENABLE)?|PERMS_(?:INTERACT|CONTROL)|PARAM_MAX|CONTROLS_(?:STANDARD|MINI)|PERM_(?:NONE|OWNER|GROUP|ANYONE)|MAX_(?:URL_LENGTH|WHITELIST_(?:SIZE|COUNT)|(?:WIDTH|HEIGHT)_PIXELS)))|MASK_(?:BASE|OWNER|GROUP|EVERYONE|NEXT)|PERM_(?:TRANSFER|MODIFY|COPY|MOVE|ALL)|PARCEL_(?:MEDIA_COMMAND_(?:STOP|PAUSE|PLAY|LOOP|TEXTURE|URL|TIME|AGENT|UNLOAD|AUTO_ALIGN|TYPE|SIZE|DESC|LOOP_SET)|FLAG_(?:ALLOW_(?:FLY|(?:GROUP_)?SCRIPTS|LANDMARK|TERRAFORM|DAMAGE|CREATE_(?:GROUP_)?OBJECTS)|USE_(?:ACCESS_(?:GROUP|LIST)|BAN_LIST|LAND_PASS_LIST)|LOCAL_SOUND_ONLY|RESTRICT_PUSHOBJECT|ALLOW_(?:GROUP|ALL)_OBJECT_ENTRY)|COUNT_(?:TOTAL|OWNER|GROUP|OTHER|SELECTED|TEMP)|DETAILS_(?:NAME|DESC|OWNER|GROUP|AREA|ID|SEE_AVATARS))|LIST_STAT_(?:MAX|MIN|MEAN|MEDIAN|STD_DEV|SUM(?:_SQUARES)?|NUM_COUNT|GEOMETRIC_MEAN|RANGE)|PAY_(?:HIDE|DEFAULT)|REGION_FLAG_(?:ALLOW_DAMAGE|FIXED_SUN|BLOCK_TERRAFORM|SANDBOX|DISABLE_(?:COLLISIONS|PHYSICS)|BLOCK_FLY|ALLOW_DIRECT_TELEPORT|RESTRICT_PUSHOBJECT)|HTTP_(?:METHOD|MIMETYPE|BODY_(?:MAXLENGTH|TRUNCATED)|CUSTOM_HEADER|PRAGMA_NO_CACHE|VERBOSE_THROTTLE|VERIFY_CERT)|STRING_(?:TRIM(?:_(?:HEAD|TAIL))?)|CLICK_ACTION_(?:NONE|TOUCH|SIT|BUY|PAY|OPEN(?:_MEDIA)?|PLAY|ZOOM)|TOUCH_INVALID_FACE|PROFILE_(?:NONE|SCRIPT_MEMORY)|RC_(?:DATA_FLAGS|DETECT_PHANTOM|GET_(?:LINK_NUM|NORMAL|ROOT_KEY)|MAX_HITS|REJECT_(?:TYPES|AGENTS|(?:NON)?PHYSICAL|LAND))|RCERR_(?:CAST_TIME_EXCEEDED|SIM_PERF_LOW|UNKNOWN)|ESTATE_ACCESS_(?:ALLOWED_(?:AGENT|GROUP)_(?:ADD|REMOVE)|BANNED_AGENT_(?:ADD|REMOVE))|DENSITY|FRICTION|RESTITUTION|GRAVITY_MULTIPLIER|KFM_(?:COMMAND|CMD_(?:PLAY|STOP|PAUSE|SET_MODE)|MODE|FORWARD|LOOP|PING_PONG|REVERSE|DATA|ROTATION|TRANSLATION)|ERR_(?:GENERIC|PARCEL_PERMISSIONS|MALFORMED_PARAMS|RUNTIME_PERMISSIONS|THROTTLED)|CHARACTER_(?:CMD_(?:(?:SMOOTH_)?STOP|JUMP)|DESIRED_(?:TURN_)?SPEED|RADIUS|STAY_WITHIN_PARCEL|LENGTH|ORIENTATION|ACCOUNT_FOR_SKIPPED_FRAMES|AVOIDANCE_MODE|TYPE(?:_(?:[A-D]|NONE))?|MAX_(?:DECEL|TURN_RADIUS|(?:ACCEL|SPEED)))|PURSUIT_(?:OFFSET|FUZZ_FACTOR|GOAL_TOLERANCE|INTERCEPT)|REQUIRE_LINE_OF_SIGHT|FORCE_DIRECT_PATH|VERTICAL|HORIZONTAL|AVOID_(?:CHARACTERS|DYNAMIC_OBSTACLES|NONE)|PU_(?:EVADE_(?:HIDDEN|SPOTTED)|FAILURE_(?:DYNAMIC_PATHFINDING_DISABLED|INVALID_(?:GOAL|START)|NO_(?:NAVMESH|VALID_DESTINATION)|OTHER|TARGET_GONE|(?:PARCEL_)?UNREACHABLE)|(?:GOAL|SLOWDOWN_DISTANCE)_REACHED)|TRAVERSAL_TYPE(?:_(?:FAST|NONE|SLOW))?|CONTENT_TYPE_(?:ATOM|FORM|HTML|JSON|LLSD|RSS|TEXT|XHTML|XML)|GCNP_(?:RADIUS|STATIC)|(?:PATROL|WANDER)_PAUSE_AT_WAYPOINTS|OPT_(?:AVATAR|CHARACTER|EXCLUSION_VOLUME|LEGACY_LINKSET|MATERIAL_VOLUME|OTHER|STATIC_OBSTACLE|WALKABLE)|SIM_STAT_PCT_CHARS_STEPPED)\b' + lsl_constants_integer_boolean = r'\b(?:FALSE|TRUE)\b' + lsl_constants_rotation = r'\b(?:ZERO_ROTATION)\b' + lsl_constants_string = r'\b(?:EOF|JSON_(?:ARRAY|DELETE|FALSE|INVALID|NULL|NUMBER|OBJECT|STRING|TRUE)|NULL_KEY|TEXTURE_(?:BLANK|DEFAULT|MEDIA|PLYWOOD|TRANSPARENT)|URL_REQUEST_(?:GRANTED|DENIED))\b' + lsl_constants_vector = r'\b(?:TOUCH_INVALID_(?:TEXCOORD|VECTOR)|ZERO_VECTOR)\b' + lsl_invalid_broken = r'\b(?:LAND_(?:LARGE|MEDIUM|SMALL)_BRUSH)\b' + lsl_invalid_deprecated = r'\b(?:ATTACH_[LR]PEC|DATA_RATING|OBJECT_ATTACHMENT_(?:GEOMETRY_BYTES|SURFACE_AREA)|PRIM_(?:CAST_SHADOWS|MATERIAL_LIGHT|TYPE_LEGACY)|PSYS_SRC_(?:INNER|OUTER)ANGLE|VEHICLE_FLAG_NO_FLY_UP|ll(?:Cloud|Make(?:Explosion|Fountain|Smoke|Fire)|RemoteDataSetRegion|Sound(?:Preload)?|XorBase64Strings(?:Correct)?))\b' + lsl_invalid_illegal = r'\b(?:event)\b' + lsl_invalid_unimplemented = r'\b(?:CHARACTER_(?:MAX_ANGULAR_(?:ACCEL|SPEED)|TURN_SPEED_MULTIPLIER)|PERMISSION_(?:CHANGE_(?:JOINTS|PERMISSIONS)|RELEASE_OWNERSHIP|REMAP_CONTROLS)|PRIM_PHYSICS_MATERIAL|PSYS_SRC_OBJ_REL_MASK|ll(?:CollisionSprite|(?:Stop)?PointAt|(?:(?:Refresh|Set)Prim)URL|(?:Take|Release)Camera|RemoteLoadScript))\b' + lsl_reserved_godmode = r'\b(?:ll(?:GodLikeRezObject|Set(?:Inventory|Object)PermMask))\b' + lsl_reserved_log = r'\b(?:print)\b' + lsl_operators = r'\+\+|\-\-|<<|>>|&&?|\|\|?|\^|~|[!%<>=*+\-/]=?' + + tokens = { + 'root': + [ + (r'//.*?\n', Comment.Single), + (r'/\*', Comment.Multiline, 'comment'), + (r'"', String.Double, 'string'), + (lsl_keywords, Keyword), + (lsl_types, Keyword.Type), + (lsl_states, Name.Class), + (lsl_events, Name.Builtin), + (lsl_functions_builtin, Name.Function), + (lsl_constants_float, Keyword.Constant), + (lsl_constants_integer, Keyword.Constant), + (lsl_constants_integer_boolean, Keyword.Constant), + (lsl_constants_rotation, Keyword.Constant), + (lsl_constants_string, Keyword.Constant), + (lsl_constants_vector, Keyword.Constant), + (lsl_invalid_broken, Error), + (lsl_invalid_deprecated, Error), + (lsl_invalid_illegal, Error), + (lsl_invalid_unimplemented, Error), + (lsl_reserved_godmode, Keyword.Reserved), + (lsl_reserved_log, Keyword.Reserved), + (r'\b([a-zA-Z_]\w*)\b', Name.Variable), + (r'(\d+\.\d*|\.\d+|\d+)[eE][+-]?\d*', Number.Float), + (r'(\d+\.\d*|\.\d+)', Number.Float), + (r'0[xX][0-9a-fA-F]+', Number.Hex), + (r'\d+', Number.Integer), + (lsl_operators, Operator), + (r':=?', Error), + (r'[,;{}()\[\]]', Punctuation), + (r'\n+', Whitespace), + (r'\s+', Whitespace) + ], + 'comment': + [ + (r'[^*/]+', Comment.Multiline), + (r'/\*', Comment.Multiline, '#push'), + (r'\*/', Comment.Multiline, '#pop'), + (r'[*/]', Comment.Multiline) + ], + 'string': + [ + (r'\\([nt"\\])', String.Escape), + (r'"', String.Double, '#pop'), + (r'\\.', Error), + (r'[^"\\]+', String.Double), + ] + } + + +class AppleScriptLexer(RegexLexer): + """ + For `AppleScript source code + `_, + including `AppleScript Studio + `_. + Contributed by Andreas Amann . + + .. versionadded:: 1.0 + """ + + name = 'AppleScript' + aliases = ['applescript'] + filenames = ['*.applescript'] + + flags = re.MULTILINE | re.DOTALL + + Identifiers = r'[a-zA-Z]\w*' + + # XXX: use words() for all of these + Literals = ('AppleScript', 'current application', 'false', 'linefeed', + 'missing value', 'pi', 'quote', 'result', 'return', 'space', + 'tab', 'text item delimiters', 'true', 'version') + Classes = ('alias ', 'application ', 'boolean ', 'class ', 'constant ', + 'date ', 'file ', 'integer ', 'list ', 'number ', 'POSIX file ', + 'real ', 'record ', 'reference ', 'RGB color ', 'script ', + 'text ', 'unit types', '(?:Unicode )?text', 'string') + BuiltIn = ('attachment', 'attribute run', 'character', 'day', 'month', + 'paragraph', 'word', 'year') + HandlerParams = ('about', 'above', 'against', 'apart from', 'around', + 'aside from', 'at', 'below', 'beneath', 'beside', + 'between', 'for', 'given', 'instead of', 'on', 'onto', + 'out of', 'over', 'since') + Commands = ('ASCII (character|number)', 'activate', 'beep', 'choose URL', + 'choose application', 'choose color', 'choose file( name)?', + 'choose folder', 'choose from list', + 'choose remote application', 'clipboard info', + 'close( access)?', 'copy', 'count', 'current date', 'delay', + 'delete', 'display (alert|dialog)', 'do shell script', + 'duplicate', 'exists', 'get eof', 'get volume settings', + 'info for', 'launch', 'list (disks|folder)', 'load script', + 'log', 'make', 'mount volume', 'new', 'offset', + 'open( (for access|location))?', 'path to', 'print', 'quit', + 'random number', 'read', 'round', 'run( script)?', + 'say', 'scripting components', + 'set (eof|the clipboard to|volume)', 'store script', + 'summarize', 'system attribute', 'system info', + 'the clipboard', 'time to GMT', 'write', 'quoted form') + References = ('(in )?back of', '(in )?front of', '[0-9]+(st|nd|rd|th)', + 'first', 'second', 'third', 'fourth', 'fifth', 'sixth', + 'seventh', 'eighth', 'ninth', 'tenth', 'after', 'back', + 'before', 'behind', 'every', 'front', 'index', 'last', + 'middle', 'some', 'that', 'through', 'thru', 'where', 'whose') + Operators = ("and", "or", "is equal", "equals", "(is )?equal to", "is not", + "isn't", "isn't equal( to)?", "is not equal( to)?", + "doesn't equal", "does not equal", "(is )?greater than", + "comes after", "is not less than or equal( to)?", + "isn't less than or equal( to)?", "(is )?less than", + "comes before", "is not greater than or equal( to)?", + "isn't greater than or equal( to)?", + "(is )?greater than or equal( to)?", "is not less than", + "isn't less than", "does not come before", + "doesn't come before", "(is )?less than or equal( to)?", + "is not greater than", "isn't greater than", + "does not come after", "doesn't come after", "starts? with", + "begins? with", "ends? with", "contains?", "does not contain", + "doesn't contain", "is in", "is contained by", "is not in", + "is not contained by", "isn't contained by", "div", "mod", + "not", "(a )?(ref( to)?|reference to)", "is", "does") + Control = ('considering', 'else', 'error', 'exit', 'from', 'if', + 'ignoring', 'in', 'repeat', 'tell', 'then', 'times', 'to', + 'try', 'until', 'using terms from', 'while', 'whith', + 'with timeout( of)?', 'with transaction', 'by', 'continue', + 'end', 'its?', 'me', 'my', 'return', 'of', 'as') + Declarations = ('global', 'local', 'prop(erty)?', 'set', 'get') + Reserved = ('but', 'put', 'returning', 'the') + StudioClasses = ('action cell', 'alert reply', 'application', 'box', + 'browser( cell)?', 'bundle', 'button( cell)?', 'cell', + 'clip view', 'color well', 'color-panel', + 'combo box( item)?', 'control', + 'data( (cell|column|item|row|source))?', 'default entry', + 'dialog reply', 'document', 'drag info', 'drawer', + 'event', 'font(-panel)?', 'formatter', + 'image( (cell|view))?', 'matrix', 'menu( item)?', 'item', + 'movie( view)?', 'open-panel', 'outline view', 'panel', + 'pasteboard', 'plugin', 'popup button', + 'progress indicator', 'responder', 'save-panel', + 'scroll view', 'secure text field( cell)?', 'slider', + 'sound', 'split view', 'stepper', 'tab view( item)?', + 'table( (column|header cell|header view|view))', + 'text( (field( cell)?|view))?', 'toolbar( item)?', + 'user-defaults', 'view', 'window') + StudioEvents = ('accept outline drop', 'accept table drop', 'action', + 'activated', 'alert ended', 'awake from nib', 'became key', + 'became main', 'begin editing', 'bounds changed', + 'cell value', 'cell value changed', 'change cell value', + 'change item value', 'changed', 'child of item', + 'choose menu item', 'clicked', 'clicked toolbar item', + 'closed', 'column clicked', 'column moved', + 'column resized', 'conclude drop', 'data representation', + 'deminiaturized', 'dialog ended', 'document nib name', + 'double clicked', 'drag( (entered|exited|updated))?', + 'drop', 'end editing', 'exposed', 'idle', 'item expandable', + 'item value', 'item value changed', 'items changed', + 'keyboard down', 'keyboard up', 'launched', + 'load data representation', 'miniaturized', 'mouse down', + 'mouse dragged', 'mouse entered', 'mouse exited', + 'mouse moved', 'mouse up', 'moved', + 'number of browser rows', 'number of items', + 'number of rows', 'open untitled', 'opened', 'panel ended', + 'parameters updated', 'plugin loaded', 'prepare drop', + 'prepare outline drag', 'prepare outline drop', + 'prepare table drag', 'prepare table drop', + 'read from file', 'resigned active', 'resigned key', + 'resigned main', 'resized( sub views)?', + 'right mouse down', 'right mouse dragged', + 'right mouse up', 'rows changed', 'scroll wheel', + 'selected tab view item', 'selection changed', + 'selection changing', 'should begin editing', + 'should close', 'should collapse item', + 'should end editing', 'should expand item', + 'should open( untitled)?', + 'should quit( after last window closed)?', + 'should select column', 'should select item', + 'should select row', 'should select tab view item', + 'should selection change', 'should zoom', 'shown', + 'update menu item', 'update parameters', + 'update toolbar item', 'was hidden', 'was miniaturized', + 'will become active', 'will close', 'will dismiss', + 'will display browser cell', 'will display cell', + 'will display item cell', 'will display outline cell', + 'will finish launching', 'will hide', 'will miniaturize', + 'will move', 'will open', 'will pop up', 'will quit', + 'will resign active', 'will resize( sub views)?', + 'will select tab view item', 'will show', 'will zoom', + 'write to file', 'zoomed') + StudioCommands = ('animate', 'append', 'call method', 'center', + 'close drawer', 'close panel', 'display', + 'display alert', 'display dialog', 'display panel', 'go', + 'hide', 'highlight', 'increment', 'item for', + 'load image', 'load movie', 'load nib', 'load panel', + 'load sound', 'localized string', 'lock focus', 'log', + 'open drawer', 'path for', 'pause', 'perform action', + 'play', 'register', 'resume', 'scroll', 'select( all)?', + 'show', 'size to fit', 'start', 'step back', + 'step forward', 'stop', 'synchronize', 'unlock focus', + 'update') + StudioProperties = ('accepts arrow key', 'action method', 'active', + 'alignment', 'allowed identifiers', + 'allows branch selection', 'allows column reordering', + 'allows column resizing', 'allows column selection', + 'allows customization', + 'allows editing text attributes', + 'allows empty selection', 'allows mixed state', + 'allows multiple selection', 'allows reordering', + 'allows undo', 'alpha( value)?', 'alternate image', + 'alternate increment value', 'alternate title', + 'animation delay', 'associated file name', + 'associated object', 'auto completes', 'auto display', + 'auto enables items', 'auto repeat', + 'auto resizes( outline column)?', + 'auto save expanded items', 'auto save name', + 'auto save table columns', 'auto saves configuration', + 'auto scroll', 'auto sizes all columns to fit', + 'auto sizes cells', 'background color', 'bezel state', + 'bezel style', 'bezeled', 'border rect', 'border type', + 'bordered', 'bounds( rotation)?', 'box type', + 'button returned', 'button type', + 'can choose directories', 'can choose files', + 'can draw', 'can hide', + 'cell( (background color|size|type))?', 'characters', + 'class', 'click count', 'clicked( data)? column', + 'clicked data item', 'clicked( data)? row', + 'closeable', 'collating', 'color( (mode|panel))', + 'command key down', 'configuration', + 'content(s| (size|view( margins)?))?', 'context', + 'continuous', 'control key down', 'control size', + 'control tint', 'control view', + 'controller visible', 'coordinate system', + 'copies( on scroll)?', 'corner view', 'current cell', + 'current column', 'current( field)? editor', + 'current( menu)? item', 'current row', + 'current tab view item', 'data source', + 'default identifiers', 'delta (x|y|z)', + 'destination window', 'directory', 'display mode', + 'displayed cell', 'document( (edited|rect|view))?', + 'double value', 'dragged column', 'dragged distance', + 'dragged items', 'draws( cell)? background', + 'draws grid', 'dynamically scrolls', 'echos bullets', + 'edge', 'editable', 'edited( data)? column', + 'edited data item', 'edited( data)? row', 'enabled', + 'enclosing scroll view', 'ending page', + 'error handling', 'event number', 'event type', + 'excluded from windows menu', 'executable path', + 'expanded', 'fax number', 'field editor', 'file kind', + 'file name', 'file type', 'first responder', + 'first visible column', 'flipped', 'floating', + 'font( panel)?', 'formatter', 'frameworks path', + 'frontmost', 'gave up', 'grid color', 'has data items', + 'has horizontal ruler', 'has horizontal scroller', + 'has parent data item', 'has resize indicator', + 'has shadow', 'has sub menu', 'has vertical ruler', + 'has vertical scroller', 'header cell', 'header view', + 'hidden', 'hides when deactivated', 'highlights by', + 'horizontal line scroll', 'horizontal page scroll', + 'horizontal ruler view', 'horizontally resizable', + 'icon image', 'id', 'identifier', + 'ignores multiple clicks', + 'image( (alignment|dims when disabled|frame style|scaling))?', + 'imports graphics', 'increment value', + 'indentation per level', 'indeterminate', 'index', + 'integer value', 'intercell spacing', 'item height', + 'key( (code|equivalent( modifier)?|window))?', + 'knob thickness', 'label', 'last( visible)? column', + 'leading offset', 'leaf', 'level', 'line scroll', + 'loaded', 'localized sort', 'location', 'loop mode', + 'main( (bunde|menu|window))?', 'marker follows cell', + 'matrix mode', 'maximum( content)? size', + 'maximum visible columns', + 'menu( form representation)?', 'miniaturizable', + 'miniaturized', 'minimized image', 'minimized title', + 'minimum column width', 'minimum( content)? size', + 'modal', 'modified', 'mouse down state', + 'movie( (controller|file|rect))?', 'muted', 'name', + 'needs display', 'next state', 'next text', + 'number of tick marks', 'only tick mark values', + 'opaque', 'open panel', 'option key down', + 'outline table column', 'page scroll', 'pages across', + 'pages down', 'palette label', 'pane splitter', + 'parent data item', 'parent window', 'pasteboard', + 'path( (names|separator))?', 'playing', + 'plays every frame', 'plays selection only', 'position', + 'preferred edge', 'preferred type', 'pressure', + 'previous text', 'prompt', 'properties', + 'prototype cell', 'pulls down', 'rate', + 'released when closed', 'repeated', + 'requested print time', 'required file type', + 'resizable', 'resized column', 'resource path', + 'returns records', 'reuses columns', 'rich text', + 'roll over', 'row height', 'rulers visible', + 'save panel', 'scripts path', 'scrollable', + 'selectable( identifiers)?', 'selected cell', + 'selected( data)? columns?', 'selected data items?', + 'selected( data)? rows?', 'selected item identifier', + 'selection by rect', 'send action on arrow key', + 'sends action when done editing', 'separates columns', + 'separator item', 'sequence number', 'services menu', + 'shared frameworks path', 'shared support path', + 'sheet', 'shift key down', 'shows alpha', + 'shows state by', 'size( mode)?', + 'smart insert delete enabled', 'sort case sensitivity', + 'sort column', 'sort order', 'sort type', + 'sorted( data rows)?', 'sound', 'source( mask)?', + 'spell checking enabled', 'starting page', 'state', + 'string value', 'sub menu', 'super menu', 'super view', + 'tab key traverses cells', 'tab state', 'tab type', + 'tab view', 'table view', 'tag', 'target( printer)?', + 'text color', 'text container insert', + 'text container origin', 'text returned', + 'tick mark position', 'time stamp', + 'title(d| (cell|font|height|position|rect))?', + 'tool tip', 'toolbar', 'trailing offset', 'transparent', + 'treat packages as directories', 'truncated labels', + 'types', 'unmodified characters', 'update views', + 'use sort indicator', 'user defaults', + 'uses data source', 'uses ruler', + 'uses threaded animation', + 'uses title from previous column', 'value wraps', + 'version', + 'vertical( (line scroll|page scroll|ruler view))?', + 'vertically resizable', 'view', + 'visible( document rect)?', 'volume', 'width', 'window', + 'windows menu', 'wraps', 'zoomable', 'zoomed') + + tokens = { + 'root': [ + (r'\s+', Text), + (u'¬\\n', String.Escape), + (r"'s\s+", Text), # This is a possessive, consider moving + (r'(--|#).*?$', Comment), + (r'\(\*', Comment.Multiline, 'comment'), + (r'[(){}!,.:]', Punctuation), + (u'(«)([^»]+)(»)', + bygroups(Text, Name.Builtin, Text)), + (r'\b((?:considering|ignoring)\s*)' + r'(application responses|case|diacriticals|hyphens|' + r'numeric strings|punctuation|white space)', + bygroups(Keyword, Name.Builtin)), + (u'(-|\\*|\\+|&|≠|>=?|<=?|=|≥|≤|/|÷|\\^)', Operator), + (r"\b(%s)\b" % '|'.join(Operators), Operator.Word), + (r'^(\s*(?:on|end)\s+)' + r'(%s)' % '|'.join(StudioEvents[::-1]), + bygroups(Keyword, Name.Function)), + (r'^(\s*)(in|on|script|to)(\s+)', bygroups(Text, Keyword, Text)), + (r'\b(as )(%s)\b' % '|'.join(Classes), + bygroups(Keyword, Name.Class)), + (r'\b(%s)\b' % '|'.join(Literals), Name.Constant), + (r'\b(%s)\b' % '|'.join(Commands), Name.Builtin), + (r'\b(%s)\b' % '|'.join(Control), Keyword), + (r'\b(%s)\b' % '|'.join(Declarations), Keyword), + (r'\b(%s)\b' % '|'.join(Reserved), Name.Builtin), + (r'\b(%s)s?\b' % '|'.join(BuiltIn), Name.Builtin), + (r'\b(%s)\b' % '|'.join(HandlerParams), Name.Builtin), + (r'\b(%s)\b' % '|'.join(StudioProperties), Name.Attribute), + (r'\b(%s)s?\b' % '|'.join(StudioClasses), Name.Builtin), + (r'\b(%s)\b' % '|'.join(StudioCommands), Name.Builtin), + (r'\b(%s)\b' % '|'.join(References), Name.Builtin), + (r'"(\\\\|\\"|[^"])*"', String.Double), + (r'\b(%s)\b' % Identifiers, Name.Variable), + (r'[-+]?(\d+\.\d*|\d*\.\d+)(E[-+][0-9]+)?', Number.Float), + (r'[-+]?\d+', Number.Integer), + ], + 'comment': [ + ('\(\*', Comment.Multiline, '#push'), + ('\*\)', Comment.Multiline, '#pop'), + ('[^*(]+', Comment.Multiline), + ('[*(]', Comment.Multiline), + ], + } + + +class RexxLexer(RegexLexer): + """ + `Rexx `_ is a scripting language available for + a wide range of different platforms with its roots found on mainframe + systems. It is popular for I/O- and data based tasks and can act as glue + language to bind different applications together. + + .. versionadded:: 2.0 + """ + name = 'Rexx' + aliases = ['rexx', 'arexx'] + filenames = ['*.rexx', '*.rex', '*.rx', '*.arexx'] + mimetypes = ['text/x-rexx'] + flags = re.IGNORECASE + + tokens = { + 'root': [ + (r'\s', Whitespace), + (r'/\*', Comment.Multiline, 'comment'), + (r'"', String, 'string_double'), + (r"'", String, 'string_single'), + (r'[0-9]+(\.[0-9]+)?(e[+-]?[0-9])?', Number), + (r'([a-z_]\w*)(\s*)(:)(\s*)(procedure)\b', + bygroups(Name.Function, Whitespace, Operator, Whitespace, + Keyword.Declaration)), + (r'([a-z_]\w*)(\s*)(:)', + bygroups(Name.Label, Whitespace, Operator)), + include('function'), + include('keyword'), + include('operator'), + (r'[a-z_]\w*', Text), + ], + 'function': [ + (words(( + 'abbrev', 'abs', 'address', 'arg', 'b2x', 'bitand', 'bitor', 'bitxor', + 'c2d', 'c2x', 'center', 'charin', 'charout', 'chars', 'compare', + 'condition', 'copies', 'd2c', 'd2x', 'datatype', 'date', 'delstr', + 'delword', 'digits', 'errortext', 'form', 'format', 'fuzz', 'insert', + 'lastpos', 'left', 'length', 'linein', 'lineout', 'lines', 'max', + 'min', 'overlay', 'pos', 'queued', 'random', 'reverse', 'right', 'sign', + 'sourceline', 'space', 'stream', 'strip', 'substr', 'subword', 'symbol', + 'time', 'trace', 'translate', 'trunc', 'value', 'verify', 'word', + 'wordindex', 'wordlength', 'wordpos', 'words', 'x2b', 'x2c', 'x2d', + 'xrange'), suffix=r'(\s*)(\()'), + bygroups(Name.Builtin, Whitespace, Operator)), + ], + 'keyword': [ + (r'(address|arg|by|call|do|drop|else|end|exit|for|forever|if|' + r'interpret|iterate|leave|nop|numeric|off|on|options|parse|' + r'pull|push|queue|return|say|select|signal|to|then|trace|until|' + r'while)\b', Keyword.Reserved), + ], + 'operator': [ + (r'(-|//|/|\(|\)|\*\*|\*|\\<<|\\<|\\==|\\=|\\>>|\\>|\\|\|\||\||' + r'&&|&|%|\+|<<=|<<|<=|<>|<|==|=|><|>=|>>=|>>|>|¬<<|¬<|¬==|¬=|' + r'¬>>|¬>|¬|\.|,)', Operator), + ], + 'string_double': [ + (r'[^"\n]+', String), + (r'""', String), + (r'"', String, '#pop'), + (r'\n', Text, '#pop'), # Stray linefeed also terminates strings. + ], + 'string_single': [ + (r'[^\'\n]', String), + (r'\'\'', String), + (r'\'', String, '#pop'), + (r'\n', Text, '#pop'), # Stray linefeed also terminates strings. + ], + 'comment': [ + (r'[^*]+', Comment.Multiline), + (r'\*/', Comment.Multiline, '#pop'), + (r'\*', Comment.Multiline), + ] + } + + _c = lambda s: re.compile(s, re.MULTILINE) + _ADDRESS_COMMAND_PATTERN = _c(r'^\s*address\s+command\b') + _ADDRESS_PATTERN = _c(r'^\s*address\s+') + _DO_WHILE_PATTERN = _c(r'^\s*do\s+while\b') + _IF_THEN_DO_PATTERN = _c(r'^\s*if\b.+\bthen\s+do\s*$') + _PROCEDURE_PATTERN = _c(r'^\s*([a-z_]\w*)(\s*)(:)(\s*)(procedure)\b') + _ELSE_DO_PATTERN = _c(r'\belse\s+do\s*$') + _PARSE_ARG_PATTERN = _c(r'^\s*parse\s+(upper\s+)?(arg|value)\b') + PATTERNS_AND_WEIGHTS = ( + (_ADDRESS_COMMAND_PATTERN, 0.2), + (_ADDRESS_PATTERN, 0.05), + (_DO_WHILE_PATTERN, 0.1), + (_ELSE_DO_PATTERN, 0.1), + (_IF_THEN_DO_PATTERN, 0.1), + (_PROCEDURE_PATTERN, 0.5), + (_PARSE_ARG_PATTERN, 0.2), + ) + + def analyse_text(text): + """ + Check for inital comment and patterns that distinguish Rexx from other + C-like languages. + """ + if re.search(r'/\*\**\s*rexx', text, re.IGNORECASE): + # Header matches MVS Rexx requirements, this is certainly a Rexx + # script. + return 1.0 + elif text.startswith('/*'): + # Header matches general Rexx requirements; the source code might + # still be any language using C comments such as C++, C# or Java. + lowerText = text.lower() + result = sum(weight + for (pattern, weight) in RexxLexer.PATTERNS_AND_WEIGHTS + if pattern.search(lowerText)) + 0.01 + return min(result, 1.0) + + +class MOOCodeLexer(RegexLexer): + """ + For `MOOCode `_ (the MOO scripting + language). + + .. versionadded:: 0.9 + """ + name = 'MOOCode' + filenames = ['*.moo'] + aliases = ['moocode', 'moo'] + mimetypes = ['text/x-moocode'] + + tokens = { + 'root': [ + # Numbers + (r'(0|[1-9][0-9_]*)', Number.Integer), + # Strings + (r'"(\\\\|\\"|[^"])*"', String), + # exceptions + (r'(E_PERM|E_DIV)', Name.Exception), + # db-refs + (r'((#[-0-9]+)|(\$\w+))', Name.Entity), + # Keywords + (r'\b(if|else|elseif|endif|for|endfor|fork|endfork|while' + r'|endwhile|break|continue|return|try' + r'|except|endtry|finally|in)\b', Keyword), + # builtins + (r'(random|length)', Name.Builtin), + # special variables + (r'(player|caller|this|args)', Name.Variable.Instance), + # skip whitespace + (r'\s+', Text), + (r'\n', Text), + # other operators + (r'([!;=,{}&|:.\[\]@()<>?]+)', Operator), + # function call + (r'(\w+)(\()', bygroups(Name.Function, Operator)), + # variables + (r'(\w+)', Text), + ] + } + + +class HybrisLexer(RegexLexer): + """ + For `Hybris `_ source code. + + .. versionadded:: 1.4 + """ + + name = 'Hybris' + aliases = ['hybris', 'hy'] + filenames = ['*.hy', '*.hyb'] + mimetypes = ['text/x-hybris', 'application/x-hybris'] + + flags = re.MULTILINE | re.DOTALL + + tokens = { + 'root': [ + # method names + (r'^(\s*(?:function|method|operator\s+)+?)' + r'([a-zA-Z_]\w*)' + r'(\s*)(\()', bygroups(Keyword, Name.Function, Text, Operator)), + (r'[^\S\n]+', Text), + (r'//.*?\n', Comment.Single), + (r'/\*.*?\*/', Comment.Multiline), + (r'@[a-zA-Z_][\w.]*', Name.Decorator), + (r'(break|case|catch|next|default|do|else|finally|for|foreach|of|' + r'unless|if|new|return|switch|me|throw|try|while)\b', Keyword), + (r'(extends|private|protected|public|static|throws|function|method|' + r'operator)\b', Keyword.Declaration), + (r'(true|false|null|__FILE__|__LINE__|__VERSION__|__LIB_PATH__|' + r'__INC_PATH__)\b', Keyword.Constant), + (r'(class|struct)(\s+)', + bygroups(Keyword.Declaration, Text), 'class'), + (r'(import|include)(\s+)', + bygroups(Keyword.Namespace, Text), 'import'), + (words(( + 'gc_collect', 'gc_mm_items', 'gc_mm_usage', 'gc_collect_threshold', + 'urlencode', 'urldecode', 'base64encode', 'base64decode', 'sha1', 'crc32', + 'sha2', 'md5', 'md5_file', 'acos', 'asin', 'atan', 'atan2', 'ceil', 'cos', + 'cosh', 'exp', 'fabs', 'floor', 'fmod', 'log', 'log10', 'pow', 'sin', + 'sinh', 'sqrt', 'tan', 'tanh', 'isint', 'isfloat', 'ischar', 'isstring', + 'isarray', 'ismap', 'isalias', 'typeof', 'sizeof', 'toint', 'tostring', + 'fromxml', 'toxml', 'binary', 'pack', 'load', 'eval', 'var_names', + 'var_values', 'user_functions', 'dyn_functions', 'methods', 'call', + 'call_method', 'mknod', 'mkfifo', 'mount', 'umount2', 'umount', 'ticks', + 'usleep', 'sleep', 'time', 'strtime', 'strdate', 'dllopen', 'dlllink', + 'dllcall', 'dllcall_argv', 'dllclose', 'env', 'exec', 'fork', 'getpid', + 'wait', 'popen', 'pclose', 'exit', 'kill', 'pthread_create', + 'pthread_create_argv', 'pthread_exit', 'pthread_join', 'pthread_kill', + 'smtp_send', 'http_get', 'http_post', 'http_download', 'socket', 'bind', + 'listen', 'accept', 'getsockname', 'getpeername', 'settimeout', 'connect', + 'server', 'recv', 'send', 'close', 'print', 'println', 'printf', 'input', + 'readline', 'serial_open', 'serial_fcntl', 'serial_get_attr', + 'serial_get_ispeed', 'serial_get_ospeed', 'serial_set_attr', + 'serial_set_ispeed', 'serial_set_ospeed', 'serial_write', 'serial_read', + 'serial_close', 'xml_load', 'xml_parse', 'fopen', 'fseek', 'ftell', + 'fsize', 'fread', 'fwrite', 'fgets', 'fclose', 'file', 'readdir', + 'pcre_replace', 'size', 'pop', 'unmap', 'has', 'keys', 'values', + 'length', 'find', 'substr', 'replace', 'split', 'trim', 'remove', + 'contains', 'join'), suffix=r'\b'), + Name.Builtin), + (words(( + 'MethodReference', 'Runner', 'Dll', 'Thread', 'Pipe', 'Process', + 'Runnable', 'CGI', 'ClientSocket', 'Socket', 'ServerSocket', + 'File', 'Console', 'Directory', 'Exception'), suffix=r'\b'), + Keyword.Type), + (r'"(\\\\|\\"|[^"])*"', String), + (r"'\\.'|'[^\\]'|'\\u[0-9a-f]{4}'", String.Char), + (r'(\.)([a-zA-Z_]\w*)', + bygroups(Operator, Name.Attribute)), + (r'[a-zA-Z_]\w*:', Name.Label), + (r'[a-zA-Z_$]\w*', Name), + (r'[~^*!%&\[\](){}<>|+=:;,./?\-@]+', Operator), + (r'[0-9][0-9]*\.[0-9]+([eE][0-9]+)?[fd]?', Number.Float), + (r'0x[0-9a-f]+', Number.Hex), + (r'[0-9]+L?', Number.Integer), + (r'\n', Text), + ], + 'class': [ + (r'[a-zA-Z_]\w*', Name.Class, '#pop') + ], + 'import': [ + (r'[\w.]+\*?', Name.Namespace, '#pop') + ], + } + + +class EasytrieveLexer(RegexLexer): + """ + Easytrieve Plus is a programming language for extracting, filtering and + converting sequential data. Furthermore it can layout data for reports. + It is mainly used on mainframe platforms and can access several of the + mainframe's native file formats. It is somewhat comparable to awk. + + .. versionadded:: 2.1 + """ + name = 'Easytrieve' + aliases = ['easytrieve'] + filenames = ['*.ezt', '*.mac'] + mimetypes = ['text/x-easytrieve'] + flags = 0 + + # Note: We cannot use r'\b' at the start and end of keywords because + # Easytrieve Plus delimiter characters are: + # + # * space ( ) + # * apostrophe (') + # * period (.) + # * comma (,) + # * paranthesis ( and ) + # * colon (:) + # + # Additionally words end once a '*' appears, indicatins a comment. + _DELIMITERS = r' \'.,():\n' + _DELIMITERS_OR_COMENT = _DELIMITERS + '*' + _DELIMITER_PATTERN = '[' + _DELIMITERS + ']' + _DELIMITER_PATTERN_CAPTURE = '(' + _DELIMITER_PATTERN + ')' + _NON_DELIMITER_OR_COMMENT_PATTERN = '[^' + _DELIMITERS_OR_COMENT + ']' + _OPERATORS_PATTERN = u'[.+\\-/=\\[\\](){}<>;,&%¬]' + _KEYWORDS = [ + 'AFTER-BREAK', 'AFTER-LINE', 'AFTER-SCREEN', 'AIM', 'AND', 'ATTR', + 'BEFORE', 'BEFORE-BREAK', 'BEFORE-LINE', 'BEFORE-SCREEN', 'BUSHU', + 'BY', 'CALL', 'CASE', 'CHECKPOINT', 'CHKP', 'CHKP-STATUS', 'CLEAR', + 'CLOSE', 'COL', 'COLOR', 'COMMIT', 'CONTROL', 'COPY', 'CURSOR', 'D', + 'DECLARE', 'DEFAULT', 'DEFINE', 'DELETE', 'DENWA', 'DISPLAY', 'DLI', + 'DO', 'DUPLICATE', 'E', 'ELSE', 'ELSE-IF', 'END', 'END-CASE', + 'END-DO', 'END-IF', 'END-PROC', 'ENDPAGE', 'ENDTABLE', 'ENTER', 'EOF', + 'EQ', 'ERROR', 'EXIT', 'EXTERNAL', 'EZLIB', 'F1', 'F10', 'F11', 'F12', + 'F13', 'F14', 'F15', 'F16', 'F17', 'F18', 'F19', 'F2', 'F20', 'F21', + 'F22', 'F23', 'F24', 'F25', 'F26', 'F27', 'F28', 'F29', 'F3', 'F30', + 'F31', 'F32', 'F33', 'F34', 'F35', 'F36', 'F4', 'F5', 'F6', 'F7', + 'F8', 'F9', 'FETCH', 'FILE-STATUS', 'FILL', 'FINAL', 'FIRST', + 'FIRST-DUP', 'FOR', 'GE', 'GET', 'GO', 'GOTO', 'GQ', 'GR', 'GT', + 'HEADING', 'HEX', 'HIGH-VALUES', 'IDD', 'IDMS', 'IF', 'IN', 'INSERT', + 'JUSTIFY', 'KANJI-DATE', 'KANJI-DATE-LONG', 'KANJI-TIME', 'KEY', + 'KEY-PRESSED', 'KOKUGO', 'KUN', 'LAST-DUP', 'LE', 'LEVEL', 'LIKE', + 'LINE', 'LINE-COUNT', 'LINE-NUMBER', 'LINK', 'LIST', 'LOW-VALUES', + 'LQ', 'LS', 'LT', 'MACRO', 'MASK', 'MATCHED', 'MEND', 'MESSAGE', + 'MOVE', 'MSTART', 'NE', 'NEWPAGE', 'NOMASK', 'NOPRINT', 'NOT', + 'NOTE', 'NOVERIFY', 'NQ', 'NULL', 'OF', 'OR', 'OTHERWISE', 'PA1', + 'PA2', 'PA3', 'PAGE-COUNT', 'PAGE-NUMBER', 'PARM-REGISTER', + 'PATH-ID', 'PATTERN', 'PERFORM', 'POINT', 'POS', 'PRIMARY', 'PRINT', + 'PROCEDURE', 'PROGRAM', 'PUT', 'READ', 'RECORD', 'RECORD-COUNT', + 'RECORD-LENGTH', 'REFRESH', 'RELEASE', 'RENUM', 'REPEAT', 'REPORT', + 'REPORT-INPUT', 'RESHOW', 'RESTART', 'RETRIEVE', 'RETURN-CODE', + 'ROLLBACK', 'ROW', 'S', 'SCREEN', 'SEARCH', 'SECONDARY', 'SELECT', + 'SEQUENCE', 'SIZE', 'SKIP', 'SOKAKU', 'SORT', 'SQL', 'STOP', 'SUM', + 'SYSDATE', 'SYSDATE-LONG', 'SYSIN', 'SYSIPT', 'SYSLST', 'SYSPRINT', + 'SYSSNAP', 'SYSTIME', 'TALLY', 'TERM-COLUMNS', 'TERM-NAME', + 'TERM-ROWS', 'TERMINATION', 'TITLE', 'TO', 'TRANSFER', 'TRC', + 'UNIQUE', 'UNTIL', 'UPDATE', 'UPPERCASE', 'USER', 'USERID', 'VALUE', + 'VERIFY', 'W', 'WHEN', 'WHILE', 'WORK', 'WRITE', 'X', 'XDM', 'XRST' + ] + + tokens = { + 'root': [ + (r'\*.*\n', Comment.Single), + (r'\n+', Whitespace), + # Macro argument + (r'&' + _NON_DELIMITER_OR_COMMENT_PATTERN + r'+\.', Name.Variable, + 'after_macro_argument'), + # Macro call + (r'%' + _NON_DELIMITER_OR_COMMENT_PATTERN + r'+', Name.Variable), + (r'(FILE|MACRO|REPORT)(\s+)', + bygroups(Keyword.Declaration, Whitespace), 'after_declaration'), + (r'(JOB|PARM)' + r'(' + _DELIMITER_PATTERN + r')', + bygroups(Keyword.Declaration, Operator)), + (words(_KEYWORDS, suffix=_DELIMITER_PATTERN_CAPTURE), + bygroups(Keyword.Reserved, Operator)), + (_OPERATORS_PATTERN, Operator), + # Procedure declaration + (r'(' + _NON_DELIMITER_OR_COMMENT_PATTERN + r'+)(\s*)(\.?)(\s*)(PROC)(\s*\n)', + bygroups(Name.Function, Whitespace, Operator, Whitespace, + Keyword.Declaration, Whitespace)), + (r'[0-9]+\.[0-9]*', Number.Float), + (r'[0-9]+', Number.Integer), + (r"'(''|[^'])*'", String), + (r'\s+', Whitespace), + # Everything else just belongs to a name + (_NON_DELIMITER_OR_COMMENT_PATTERN + r'+', Name), + ], + 'after_declaration': [ + (_NON_DELIMITER_OR_COMMENT_PATTERN + r'+', Name.Function), + default('#pop'), + ], + 'after_macro_argument': [ + (r'\*.*\n', Comment.Single, '#pop'), + (r'\s+', Whitespace, '#pop'), + (_OPERATORS_PATTERN, Operator, '#pop'), + (r"'(''|[^'])*'", String, '#pop'), + # Everything else just belongs to a name + (_NON_DELIMITER_OR_COMMENT_PATTERN + r'+', Name), + ], + } + _COMMENT_LINE_REGEX = re.compile(r'^\s*\*') + _MACRO_HEADER_REGEX = re.compile(r'^\s*MACRO') + + def analyse_text(text): + """ + Perform a structural analysis for basic Easytrieve constructs. + """ + result = 0.0 + lines = text.split('\n') + hasEndProc = False + hasHeaderComment = False + hasFile = False + hasJob = False + hasProc = False + hasParm = False + hasReport = False + + def isCommentLine(line): + return EasytrieveLexer._COMMENT_LINE_REGEX.match(lines[0]) is not None + + def isEmptyLine(line): + return not bool(line.strip()) + + # Remove possible empty lines and header comments. + while lines and (isEmptyLine(lines[0]) or isCommentLine(lines[0])): + if not isEmptyLine(lines[0]): + hasHeaderComment = True + del lines[0] + + if EasytrieveLexer._MACRO_HEADER_REGEX.match(lines[0]): + # Looks like an Easytrieve macro. + result = 0.4 + if hasHeaderComment: + result += 0.4 + else: + # Scan the source for lines starting with indicators. + for line in lines: + words = line.split() + if (len(words) >= 2): + firstWord = words[0] + if not hasReport: + if not hasJob: + if not hasFile: + if not hasParm: + if firstWord == 'PARM': + hasParm = True + if firstWord == 'FILE': + hasFile = True + if firstWord == 'JOB': + hasJob = True + elif firstWord == 'PROC': + hasProc = True + elif firstWord == 'END-PROC': + hasEndProc = True + elif firstWord == 'REPORT': + hasReport = True + + # Weight the findings. + if hasJob and (hasProc == hasEndProc): + if hasHeaderComment: + result += 0.1 + if hasParm: + if hasProc: + # Found PARM, JOB and PROC/END-PROC: + # pretty sure this is Easytrieve. + result += 0.8 + else: + # Found PARAM and JOB: probably this is Easytrieve + result += 0.5 + else: + # Found JOB and possibly other keywords: might be Easytrieve + result += 0.11 + if hasParm: + # Note: PARAM is not a proper English word, so this is + # regarded a much better indicator for Easytrieve than + # the other words. + result += 0.2 + if hasFile: + result += 0.01 + if hasReport: + result += 0.01 + assert 0.0 <= result <= 1.0 + return result + + +class JclLexer(RegexLexer): + """ + `Job Control Language (JCL) + `_ + is a scripting language used on mainframe platforms to instruct the system + on how to run a batch job or start a subsystem. It is somewhat + comparable to MS DOS batch and Unix shell scripts. + + .. versionadded:: 2.1 + """ + name = 'JCL' + aliases = ['jcl'] + filenames = ['*.jcl'] + mimetypes = ['text/x-jcl'] + flags = re.IGNORECASE + + tokens = { + 'root': [ + (r'//\*.*\n', Comment.Single), + (r'//', Keyword.Pseudo, 'statement'), + (r'/\*', Keyword.Pseudo, 'jes2_statement'), + # TODO: JES3 statement + (r'.*\n', Other) # Input text or inline code in any language. + ], + 'statement': [ + (r'\s*\n', Whitespace, '#pop'), + (r'([a-z]\w*)(\s+)(exec|job)(\s*)', + bygroups(Name.Label, Whitespace, Keyword.Reserved, Whitespace), + 'option'), + (r'[a-z]\w*', Name.Variable, 'statement_command'), + (r'\s+', Whitespace, 'statement_command'), + ], + 'statement_command': [ + (r'\s+(command|cntl|dd|endctl|endif|else|include|jcllib|' + r'output|pend|proc|set|then|xmit)\s+', Keyword.Reserved, 'option'), + include('option') + ], + 'jes2_statement': [ + (r'\s*\n', Whitespace, '#pop'), + (r'\$', Keyword, 'option'), + (r'\b(jobparam|message|netacct|notify|output|priority|route|' + r'setup|signoff|xeq|xmit)\b', Keyword, 'option'), + ], + 'option': [ + # (r'\n', Text, 'root'), + (r'\*', Name.Builtin), + (r'[\[\](){}<>;,]', Punctuation), + (r'[-+*/=&%]', Operator), + (r'[a-z_]\w*', Name), + (r'\d+\.\d*', Number.Float), + (r'\.\d+', Number.Float), + (r'\d+', Number.Integer), + (r"'", String, 'option_string'), + (r'[ \t]+', Whitespace, 'option_comment'), + (r'\.', Punctuation), + ], + 'option_string': [ + (r"(\n)(//)", bygroups(Text, Keyword.Pseudo)), + (r"''", String), + (r"[^']", String), + (r"'", String, '#pop'), + ], + 'option_comment': [ + # (r'\n', Text, 'root'), + (r'.+', Comment.Single), + ] + } + + _JOB_HEADER_PATTERN = re.compile(r'^//[a-z#$@][a-z0-9#$@]{0,7}\s+job(\s+.*)?$', + re.IGNORECASE) + + def analyse_text(text): + """ + Recognize JCL job by header. + """ + result = 0.0 + lines = text.split('\n') + if len(lines) > 0: + if JclLexer._JOB_HEADER_PATTERN.match(lines[0]): + result = 1.0 + assert 0.0 <= result <= 1.0 + return result diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/shell.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/shell.py new file mode 100644 index 0000000000000000000000000000000000000000..ceb6f14df7a83de7b5bb46a88d1506fe73a49fea --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/shell.py @@ -0,0 +1,794 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.shell + ~~~~~~~~~~~~~~~~~~~~~ + + Lexers for various shells. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer, RegexLexer, do_insertions, bygroups, \ + include, default, this, using, words +from pygments.token import Punctuation, \ + Text, Comment, Operator, Keyword, Name, String, Number, Generic +from pygments.util import shebang_matches + + +__all__ = ['BashLexer', 'BashSessionLexer', 'TcshLexer', 'BatchLexer', + 'MSDOSSessionLexer', 'PowerShellLexer', + 'PowerShellSessionLexer', 'TcshSessionLexer', 'FishShellLexer'] + +line_re = re.compile('.*?\n') + + +class BashLexer(RegexLexer): + """ + Lexer for (ba|k|z|)sh shell scripts. + + .. versionadded:: 0.6 + """ + + name = 'Bash' + aliases = ['bash', 'sh', 'ksh', 'zsh', 'shell'] + filenames = ['*.sh', '*.ksh', '*.bash', '*.ebuild', '*.eclass', + '*.exheres-0', '*.exlib', '*.zsh', + '.bashrc', 'bashrc', '.bash_*', 'bash_*', 'zshrc', '.zshrc', + 'PKGBUILD'] + mimetypes = ['application/x-sh', 'application/x-shellscript'] + + tokens = { + 'root': [ + include('basic'), + (r'`', String.Backtick, 'backticks'), + include('data'), + include('interp'), + ], + 'interp': [ + (r'\$\(\(', Keyword, 'math'), + (r'\$\(', Keyword, 'paren'), + (r'\$\{#?', String.Interpol, 'curly'), + (r'\$[a-zA-Z_]\w*', Name.Variable), # user variable + (r'\$(?:\d+|[#$?!_*@-])', Name.Variable), # builtin + (r'\$', Text), + ], + 'basic': [ + (r'\b(if|fi|else|while|do|done|for|then|return|function|case|' + r'select|continue|until|esac|elif)(\s*)\b', + bygroups(Keyword, Text)), + (r'\b(alias|bg|bind|break|builtin|caller|cd|command|compgen|' + r'complete|declare|dirs|disown|echo|enable|eval|exec|exit|' + r'export|false|fc|fg|getopts|hash|help|history|jobs|kill|let|' + r'local|logout|popd|printf|pushd|pwd|read|readonly|set|shift|' + r'shopt|source|suspend|test|time|times|trap|true|type|typeset|' + r'ulimit|umask|unalias|unset|wait)(?=[\s)`])', + Name.Builtin), + (r'\A#!.+\n', Comment.Hashbang), + (r'#.*\n', Comment.Single), + (r'\\[\w\W]', String.Escape), + (r'(\b\w+)(\s*)(\+?=)', bygroups(Name.Variable, Text, Operator)), + (r'[\[\]{}()=]', Operator), + (r'<<<', Operator), # here-string + (r'<<-?\s*(\'?)\\?(\w+)[\w\W]+?\2', String), + (r'&&|\|\|', Operator), + ], + 'data': [ + (r'(?s)\$?"(\\\\|\\[0-7]+|\\.|[^"\\$])*"', String.Double), + (r'"', String.Double, 'string'), + (r"(?s)\$'(\\\\|\\[0-7]+|\\.|[^'\\])*'", String.Single), + (r"(?s)'.*?'", String.Single), + (r';', Punctuation), + (r'&', Punctuation), + (r'\|', Punctuation), + (r'\s+', Text), + (r'\d+\b', Number), + (r'[^=\s\[\]{}()$"\'`\\<&|;]+', Text), + (r'<', Text), + ], + 'string': [ + (r'"', String.Double, '#pop'), + (r'(?s)(\\\\|\\[0-7]+|\\.|[^"\\$])+', String.Double), + include('interp'), + ], + 'curly': [ + (r'\}', String.Interpol, '#pop'), + (r':-', Keyword), + (r'\w+', Name.Variable), + (r'[^}:"\'`$\\]+', Punctuation), + (r':', Punctuation), + include('root'), + ], + 'paren': [ + (r'\)', Keyword, '#pop'), + include('root'), + ], + 'math': [ + (r'\)\)', Keyword, '#pop'), + (r'[-+*/%^|&]|\*\*|\|\|', Operator), + (r'\d+#\d+', Number), + (r'\d+#(?! )', Number), + (r'\d+', Number), + include('root'), + ], + 'backticks': [ + (r'`', String.Backtick, '#pop'), + include('root'), + ], + } + + def analyse_text(text): + if shebang_matches(text, r'(ba|z|)sh'): + return 1 + if text.startswith('$ '): + return 0.2 + + +class ShellSessionBaseLexer(Lexer): + """ + Base lexer for simplistic shell sessions. + + .. versionadded:: 2.1 + """ + def get_tokens_unprocessed(self, text): + innerlexer = self._innerLexerCls(**self.options) + + pos = 0 + curcode = '' + insertions = [] + backslash_continuation = False + + for match in line_re.finditer(text): + line = match.group() + m = re.match(self._ps1rgx, line) + if backslash_continuation: + curcode += line + backslash_continuation = curcode.endswith('\\\n') + elif m: + # To support output lexers (say diff output), the output + # needs to be broken by prompts whenever the output lexer + # changes. + if not insertions: + pos = match.start() + + insertions.append((len(curcode), + [(0, Generic.Prompt, m.group(1))])) + curcode += m.group(2) + backslash_continuation = curcode.endswith('\\\n') + elif line.startswith(self._ps2): + insertions.append((len(curcode), + [(0, Generic.Prompt, line[:len(self._ps2)])])) + curcode += line[len(self._ps2):] + backslash_continuation = curcode.endswith('\\\n') + else: + if insertions: + toks = innerlexer.get_tokens_unprocessed(curcode) + for i, t, v in do_insertions(insertions, toks): + yield pos+i, t, v + yield match.start(), Generic.Output, line + insertions = [] + curcode = '' + if insertions: + for i, t, v in do_insertions(insertions, + innerlexer.get_tokens_unprocessed(curcode)): + yield pos+i, t, v + + +class BashSessionLexer(ShellSessionBaseLexer): + """ + Lexer for simplistic shell sessions. + + .. versionadded:: 1.1 + """ + + name = 'Bash Session' + aliases = ['console', 'shell-session'] + filenames = ['*.sh-session', '*.shell-session'] + mimetypes = ['application/x-shell-session', 'application/x-sh-session'] + + _innerLexerCls = BashLexer + _ps1rgx = \ + r'^((?:(?:\[.*?\])|(?:\(\S+\))?(?:| |sh\S*?|\w+\S+[@:]\S+(?:\s+\S+)' \ + r'?|\[\S+[@:][^\n]+\].+))\s*[$#%])(.*\n?)' + _ps2 = '>' + + +class BatchLexer(RegexLexer): + """ + Lexer for the DOS/Windows Batch file format. + + .. versionadded:: 0.7 + """ + name = 'Batchfile' + aliases = ['bat', 'batch', 'dosbatch', 'winbatch'] + filenames = ['*.bat', '*.cmd'] + mimetypes = ['application/x-dos-batch'] + + flags = re.MULTILINE | re.IGNORECASE + + _nl = r'\n\x1a' + _punct = r'&<>|' + _ws = r'\t\v\f\r ,;=\xa0' + _space = r'(?:(?:(?:\^[%s])?[%s])+)' % (_nl, _ws) + _keyword_terminator = (r'(?=(?:\^[%s]?)?[%s+./:[\\\]]|[%s%s(])' % + (_nl, _ws, _nl, _punct)) + _token_terminator = r'(?=\^?[%s]|[%s%s])' % (_ws, _punct, _nl) + _start_label = r'((?:(?<=^[^:])|^[^:]?)[%s]*)(:)' % _ws + _label = r'(?:(?:[^%s%s%s+:^]|\^[%s]?[\w\W])*)' % (_nl, _punct, _ws, _nl) + _label_compound = (r'(?:(?:[^%s%s%s+:^)]|\^[%s]?[^)])*)' % + (_nl, _punct, _ws, _nl)) + _number = r'(?:-?(?:0[0-7]+|0x[\da-f]+|\d+)%s)' % _token_terminator + _opword = r'(?:equ|geq|gtr|leq|lss|neq)' + _string = r'(?:"[^%s"]*(?:"|(?=[%s])))' % (_nl, _nl) + _variable = (r'(?:(?:%%(?:\*|(?:~[a-z]*(?:\$[^:]+:)?)?\d|' + r'[^%%:%s]+(?::(?:~(?:-?\d+)?(?:,(?:-?\d+)?)?|(?:[^%%%s^]|' + r'\^[^%%%s])[^=%s]*=(?:[^%%%s^]|\^[^%%%s])*)?)?%%))|' + r'(?:\^?![^!:%s]+(?::(?:~(?:-?\d+)?(?:,(?:-?\d+)?)?|(?:' + r'[^!%s^]|\^[^!%s])[^=%s]*=(?:[^!%s^]|\^[^!%s])*)?)?\^?!))' % + (_nl, _nl, _nl, _nl, _nl, _nl, _nl, _nl, _nl, _nl, _nl, _nl)) + _core_token = r'(?:(?:(?:\^[%s]?)?[^"%s%s%s])+)' % (_nl, _nl, _punct, _ws) + _core_token_compound = r'(?:(?:(?:\^[%s]?)?[^"%s%s%s)])+)' % (_nl, _nl, + _punct, _ws) + _token = r'(?:[%s]+|%s)' % (_punct, _core_token) + _token_compound = r'(?:[%s]+|%s)' % (_punct, _core_token_compound) + _stoken = (r'(?:[%s]+|(?:%s|%s|%s)+)' % + (_punct, _string, _variable, _core_token)) + + def _make_begin_state(compound, _core_token=_core_token, + _core_token_compound=_core_token_compound, + _keyword_terminator=_keyword_terminator, + _nl=_nl, _punct=_punct, _string=_string, + _space=_space, _start_label=_start_label, + _stoken=_stoken, _token_terminator=_token_terminator, + _variable=_variable, _ws=_ws): + rest = '(?:%s|%s|[^"%%%s%s%s])*' % (_string, _variable, _nl, _punct, + ')' if compound else '') + rest_of_line = r'(?:(?:[^%s^]|\^[%s]?[\w\W])*)' % (_nl, _nl) + rest_of_line_compound = r'(?:(?:[^%s^)]|\^[%s]?[^)])*)' % (_nl, _nl) + set_space = r'((?:(?:\^[%s]?)?[^\S\n])*)' % _nl + suffix = '' + if compound: + _keyword_terminator = r'(?:(?=\))|%s)' % _keyword_terminator + _token_terminator = r'(?:(?=\))|%s)' % _token_terminator + suffix = '/compound' + return [ + ((r'\)', Punctuation, '#pop') if compound else + (r'\)((?=\()|%s)%s' % (_token_terminator, rest_of_line), + Comment.Single)), + (r'(?=%s)' % _start_label, Text, 'follow%s' % suffix), + (_space, using(this, state='text')), + include('redirect%s' % suffix), + (r'[%s]+' % _nl, Text), + (r'\(', Punctuation, 'root/compound'), + (r'@+', Punctuation), + (r'((?:for|if|rem)(?:(?=(?:\^[%s]?)?/)|(?:(?!\^)|' + r'(?<=m))(?:(?=\()|%s)))(%s?%s?(?:\^[%s]?)?/(?:\^[%s]?)?\?)' % + (_nl, _token_terminator, _space, + _core_token_compound if compound else _core_token, _nl, _nl), + bygroups(Keyword, using(this, state='text')), + 'follow%s' % suffix), + (r'(goto%s)(%s(?:\^[%s]?)?/(?:\^[%s]?)?\?%s)' % + (_keyword_terminator, rest, _nl, _nl, rest), + bygroups(Keyword, using(this, state='text')), + 'follow%s' % suffix), + (words(('assoc', 'break', 'cd', 'chdir', 'cls', 'color', 'copy', + 'date', 'del', 'dir', 'dpath', 'echo', 'endlocal', 'erase', + 'exit', 'ftype', 'keys', 'md', 'mkdir', 'mklink', 'move', + 'path', 'pause', 'popd', 'prompt', 'pushd', 'rd', 'ren', + 'rename', 'rmdir', 'setlocal', 'shift', 'start', 'time', + 'title', 'type', 'ver', 'verify', 'vol'), + suffix=_keyword_terminator), Keyword, 'follow%s' % suffix), + (r'(call)(%s?)(:)' % _space, + bygroups(Keyword, using(this, state='text'), Punctuation), + 'call%s' % suffix), + (r'call%s' % _keyword_terminator, Keyword), + (r'(for%s(?!\^))(%s)(/f%s)' % + (_token_terminator, _space, _token_terminator), + bygroups(Keyword, using(this, state='text'), Keyword), + ('for/f', 'for')), + (r'(for%s(?!\^))(%s)(/l%s)' % + (_token_terminator, _space, _token_terminator), + bygroups(Keyword, using(this, state='text'), Keyword), + ('for/l', 'for')), + (r'for%s(?!\^)' % _token_terminator, Keyword, ('for2', 'for')), + (r'(goto%s)(%s?)(:?)' % (_keyword_terminator, _space), + bygroups(Keyword, using(this, state='text'), Punctuation), + 'label%s' % suffix), + (r'(if(?:(?=\()|%s)(?!\^))(%s?)((?:/i%s)?)(%s?)((?:not%s)?)(%s?)' % + (_token_terminator, _space, _token_terminator, _space, + _token_terminator, _space), + bygroups(Keyword, using(this, state='text'), Keyword, + using(this, state='text'), Keyword, + using(this, state='text')), ('(?', 'if')), + (r'rem(((?=\()|%s)%s?%s?.*|%s%s)' % + (_token_terminator, _space, _stoken, _keyword_terminator, + rest_of_line_compound if compound else rest_of_line), + Comment.Single, 'follow%s' % suffix), + (r'(set%s)%s(/a)' % (_keyword_terminator, set_space), + bygroups(Keyword, using(this, state='text'), Keyword), + 'arithmetic%s' % suffix), + (r'(set%s)%s((?:/p)?)%s((?:(?:(?:\^[%s]?)?[^"%s%s^=%s]|' + r'\^[%s]?[^"=])+)?)((?:(?:\^[%s]?)?=)?)' % + (_keyword_terminator, set_space, set_space, _nl, _nl, _punct, + ')' if compound else '', _nl, _nl), + bygroups(Keyword, using(this, state='text'), Keyword, + using(this, state='text'), using(this, state='variable'), + Punctuation), + 'follow%s' % suffix), + default('follow%s' % suffix) + ] + + def _make_follow_state(compound, _label=_label, + _label_compound=_label_compound, _nl=_nl, + _space=_space, _start_label=_start_label, + _token=_token, _token_compound=_token_compound, + _ws=_ws): + suffix = '/compound' if compound else '' + state = [] + if compound: + state.append((r'(?=\))', Text, '#pop')) + state += [ + (r'%s([%s]*)(%s)(.*)' % + (_start_label, _ws, _label_compound if compound else _label), + bygroups(Text, Punctuation, Text, Name.Label, Comment.Single)), + include('redirect%s' % suffix), + (r'(?=[%s])' % _nl, Text, '#pop'), + (r'\|\|?|&&?', Punctuation, '#pop'), + include('text') + ] + return state + + def _make_arithmetic_state(compound, _nl=_nl, _punct=_punct, + _string=_string, _variable=_variable, _ws=_ws): + op = r'=+\-*/!~' + state = [] + if compound: + state.append((r'(?=\))', Text, '#pop')) + state += [ + (r'0[0-7]+', Number.Oct), + (r'0x[\da-f]+', Number.Hex), + (r'\d+', Number.Integer), + (r'[(),]+', Punctuation), + (r'([%s]|%%|\^\^)+' % op, Operator), + (r'(%s|%s|(\^[%s]?)?[^()%s%%^"%s%s%s]|\^[%s%s]?%s)+' % + (_string, _variable, _nl, op, _nl, _punct, _ws, _nl, _ws, + r'[^)]' if compound else r'[\w\W]'), + using(this, state='variable')), + (r'(?=[\x00|&])', Text, '#pop'), + include('follow') + ] + return state + + def _make_call_state(compound, _label=_label, + _label_compound=_label_compound): + state = [] + if compound: + state.append((r'(?=\))', Text, '#pop')) + state.append((r'(:?)(%s)' % (_label_compound if compound else _label), + bygroups(Punctuation, Name.Label), '#pop')) + return state + + def _make_label_state(compound, _label=_label, + _label_compound=_label_compound, _nl=_nl, + _punct=_punct, _string=_string, _variable=_variable): + state = [] + if compound: + state.append((r'(?=\))', Text, '#pop')) + state.append((r'(%s?)((?:%s|%s|\^[%s]?%s|[^"%%^%s%s%s])*)' % + (_label_compound if compound else _label, _string, + _variable, _nl, r'[^)]' if compound else r'[\w\W]', _nl, + _punct, r')' if compound else ''), + bygroups(Name.Label, Comment.Single), '#pop')) + return state + + def _make_redirect_state(compound, + _core_token_compound=_core_token_compound, + _nl=_nl, _punct=_punct, _stoken=_stoken, + _string=_string, _space=_space, + _variable=_variable, _ws=_ws): + stoken_compound = (r'(?:[%s]+|(?:%s|%s|%s)+)' % + (_punct, _string, _variable, _core_token_compound)) + return [ + (r'((?:(?<=[%s%s])\d)?)(>>?&|<&)([%s%s]*)(\d)' % + (_nl, _ws, _nl, _ws), + bygroups(Number.Integer, Punctuation, Text, Number.Integer)), + (r'((?:(?<=[%s%s])(?>?|<)(%s?%s)' % + (_nl, _ws, _nl, _space, stoken_compound if compound else _stoken), + bygroups(Number.Integer, Punctuation, using(this, state='text'))) + ] + + tokens = { + 'root': _make_begin_state(False), + 'follow': _make_follow_state(False), + 'arithmetic': _make_arithmetic_state(False), + 'call': _make_call_state(False), + 'label': _make_label_state(False), + 'redirect': _make_redirect_state(False), + 'root/compound': _make_begin_state(True), + 'follow/compound': _make_follow_state(True), + 'arithmetic/compound': _make_arithmetic_state(True), + 'call/compound': _make_call_state(True), + 'label/compound': _make_label_state(True), + 'redirect/compound': _make_redirect_state(True), + 'variable-or-escape': [ + (_variable, Name.Variable), + (r'%%%%|\^[%s]?(\^!|[\w\W])' % _nl, String.Escape) + ], + 'string': [ + (r'"', String.Double, '#pop'), + (_variable, Name.Variable), + (r'\^!|%%', String.Escape), + (r'[^"%%^%s]+|[%%^]' % _nl, String.Double), + default('#pop') + ], + 'sqstring': [ + include('variable-or-escape'), + (r'[^%]+|%', String.Single) + ], + 'bqstring': [ + include('variable-or-escape'), + (r'[^%]+|%', String.Backtick) + ], + 'text': [ + (r'"', String.Double, 'string'), + include('variable-or-escape'), + (r'[^"%%^%s%s%s\d)]+|.' % (_nl, _punct, _ws), Text) + ], + 'variable': [ + (r'"', String.Double, 'string'), + include('variable-or-escape'), + (r'[^"%%^%s]+|.' % _nl, Name.Variable) + ], + 'for': [ + (r'(%s)(in)(%s)(\()' % (_space, _space), + bygroups(using(this, state='text'), Keyword, + using(this, state='text'), Punctuation), '#pop'), + include('follow') + ], + 'for2': [ + (r'\)', Punctuation), + (r'(%s)(do%s)' % (_space, _token_terminator), + bygroups(using(this, state='text'), Keyword), '#pop'), + (r'[%s]+' % _nl, Text), + include('follow') + ], + 'for/f': [ + (r'(")((?:%s|[^"])*?")([%s%s]*)(\))' % (_variable, _nl, _ws), + bygroups(String.Double, using(this, state='string'), Text, + Punctuation)), + (r'"', String.Double, ('#pop', 'for2', 'string')), + (r"('(?:%%%%|%s|[\w\W])*?')([%s%s]*)(\))" % (_variable, _nl, _ws), + bygroups(using(this, state='sqstring'), Text, Punctuation)), + (r'(`(?:%%%%|%s|[\w\W])*?`)([%s%s]*)(\))' % (_variable, _nl, _ws), + bygroups(using(this, state='bqstring'), Text, Punctuation)), + include('for2') + ], + 'for/l': [ + (r'-?\d+', Number.Integer), + include('for2') + ], + 'if': [ + (r'((?:cmdextversion|errorlevel)%s)(%s)(\d+)' % + (_token_terminator, _space), + bygroups(Keyword, using(this, state='text'), + Number.Integer), '#pop'), + (r'(defined%s)(%s)(%s)' % (_token_terminator, _space, _stoken), + bygroups(Keyword, using(this, state='text'), + using(this, state='variable')), '#pop'), + (r'(exist%s)(%s%s)' % (_token_terminator, _space, _stoken), + bygroups(Keyword, using(this, state='text')), '#pop'), + (r'(%s%s)(%s)(%s%s)' % (_number, _space, _opword, _space, _number), + bygroups(using(this, state='arithmetic'), Operator.Word, + using(this, state='arithmetic')), '#pop'), + (_stoken, using(this, state='text'), ('#pop', 'if2')), + ], + 'if2': [ + (r'(%s?)(==)(%s?%s)' % (_space, _space, _stoken), + bygroups(using(this, state='text'), Operator, + using(this, state='text')), '#pop'), + (r'(%s)(%s)(%s%s)' % (_space, _opword, _space, _stoken), + bygroups(using(this, state='text'), Operator.Word, + using(this, state='text')), '#pop') + ], + '(?': [ + (_space, using(this, state='text')), + (r'\(', Punctuation, ('#pop', 'else?', 'root/compound')), + default('#pop') + ], + 'else?': [ + (_space, using(this, state='text')), + (r'else%s' % _token_terminator, Keyword, '#pop'), + default('#pop') + ] + } + + +class MSDOSSessionLexer(ShellSessionBaseLexer): + """ + Lexer for simplistic MSDOS sessions. + + .. versionadded:: 2.1 + """ + + name = 'MSDOS Session' + aliases = ['doscon'] + filenames = [] + mimetypes = [] + + _innerLexerCls = BatchLexer + _ps1rgx = r'^([^>]+>)(.*\n?)' + _ps2 = 'More? ' + + +class TcshLexer(RegexLexer): + """ + Lexer for tcsh scripts. + + .. versionadded:: 0.10 + """ + + name = 'Tcsh' + aliases = ['tcsh', 'csh'] + filenames = ['*.tcsh', '*.csh'] + mimetypes = ['application/x-csh'] + + tokens = { + 'root': [ + include('basic'), + (r'\$\(', Keyword, 'paren'), + (r'\$\{#?', Keyword, 'curly'), + (r'`', String.Backtick, 'backticks'), + include('data'), + ], + 'basic': [ + (r'\b(if|endif|else|while|then|foreach|case|default|' + r'continue|goto|breaksw|end|switch|endsw)\s*\b', + Keyword), + (r'\b(alias|alloc|bg|bindkey|break|builtins|bye|caller|cd|chdir|' + r'complete|dirs|echo|echotc|eval|exec|exit|fg|filetest|getxvers|' + r'glob|getspath|hashstat|history|hup|inlib|jobs|kill|' + r'limit|log|login|logout|ls-F|migrate|newgrp|nice|nohup|notify|' + r'onintr|popd|printenv|pushd|rehash|repeat|rootnode|popd|pushd|' + r'set|shift|sched|setenv|setpath|settc|setty|setxvers|shift|' + r'source|stop|suspend|source|suspend|telltc|time|' + r'umask|unalias|uncomplete|unhash|universe|unlimit|unset|unsetenv|' + r'ver|wait|warp|watchlog|where|which)\s*\b', + Name.Builtin), + (r'#.*', Comment), + (r'\\[\w\W]', String.Escape), + (r'(\b\w+)(\s*)(=)', bygroups(Name.Variable, Text, Operator)), + (r'[\[\]{}()=]+', Operator), + (r'<<\s*(\'?)\\?(\w+)[\w\W]+?\2', String), + (r';', Punctuation), + ], + 'data': [ + (r'(?s)"(\\\\|\\[0-7]+|\\.|[^"\\])*"', String.Double), + (r"(?s)'(\\\\|\\[0-7]+|\\.|[^'\\])*'", String.Single), + (r'\s+', Text), + (r'[^=\s\[\]{}()$"\'`\\;#]+', Text), + (r'\d+(?= |\Z)', Number), + (r'\$#?(\w+|.)', Name.Variable), + ], + 'curly': [ + (r'\}', Keyword, '#pop'), + (r':-', Keyword), + (r'\w+', Name.Variable), + (r'[^}:"\'`$]+', Punctuation), + (r':', Punctuation), + include('root'), + ], + 'paren': [ + (r'\)', Keyword, '#pop'), + include('root'), + ], + 'backticks': [ + (r'`', String.Backtick, '#pop'), + include('root'), + ], + } + + +class TcshSessionLexer(ShellSessionBaseLexer): + """ + Lexer for Tcsh sessions. + + .. versionadded:: 2.1 + """ + + name = 'Tcsh Session' + aliases = ['tcshcon'] + filenames = [] + mimetypes = [] + + _innerLexerCls = TcshLexer + _ps1rgx = r'^([^>]+>)(.*\n?)' + _ps2 = '? ' + + +class PowerShellLexer(RegexLexer): + """ + For Windows PowerShell code. + + .. versionadded:: 1.5 + """ + name = 'PowerShell' + aliases = ['powershell', 'posh', 'ps1', 'psm1'] + filenames = ['*.ps1', '*.psm1'] + mimetypes = ['text/x-powershell'] + + flags = re.DOTALL | re.IGNORECASE | re.MULTILINE + + keywords = ( + 'while validateset validaterange validatepattern validatelength ' + 'validatecount until trap switch return ref process param parameter in ' + 'if global: function foreach for finally filter end elseif else ' + 'dynamicparam do default continue cmdletbinding break begin alias \\? ' + '% #script #private #local #global mandatory parametersetname position ' + 'valuefrompipeline valuefrompipelinebypropertyname ' + 'valuefromremainingarguments helpmessage try catch throw').split() + + operators = ( + 'and as band bnot bor bxor casesensitive ccontains ceq cge cgt cle ' + 'clike clt cmatch cne cnotcontains cnotlike cnotmatch contains ' + 'creplace eq exact f file ge gt icontains ieq ige igt ile ilike ilt ' + 'imatch ine inotcontains inotlike inotmatch ireplace is isnot le like ' + 'lt match ne not notcontains notlike notmatch or regex replace ' + 'wildcard').split() + + verbs = ( + 'write where wait use update unregister undo trace test tee take ' + 'suspend stop start split sort skip show set send select scroll resume ' + 'restore restart resolve resize reset rename remove register receive ' + 'read push pop ping out new move measure limit join invoke import ' + 'group get format foreach export expand exit enter enable disconnect ' + 'disable debug cxnew copy convertto convertfrom convert connect ' + 'complete compare clear checkpoint aggregate add').split() + + commenthelp = ( + 'component description example externalhelp forwardhelpcategory ' + 'forwardhelptargetname functionality inputs link ' + 'notes outputs parameter remotehelprunspace role synopsis').split() + + tokens = { + 'root': [ + # we need to count pairs of parentheses for correct highlight + # of '$(...)' blocks in strings + (r'\(', Punctuation, 'child'), + (r'\s+', Text), + (r'^(\s*#[#\s]*)(\.(?:%s))([^\n]*$)' % '|'.join(commenthelp), + bygroups(Comment, String.Doc, Comment)), + (r'#[^\n]*?$', Comment), + (r'(<|<)#', Comment.Multiline, 'multline'), + (r'@"\n', String.Heredoc, 'heredoc-double'), + (r"@'\n.*?\n'@", String.Heredoc), + # escaped syntax + (r'`[\'"$@-]', Punctuation), + (r'"', String.Double, 'string'), + (r"'([^']|'')*'", String.Single), + (r'(\$|@@|@)((global|script|private|env):)?\w+', + Name.Variable), + (r'(%s)\b' % '|'.join(keywords), Keyword), + (r'-(%s)\b' % '|'.join(operators), Operator), + (r'(%s)-[a-z_]\w*\b' % '|'.join(verbs), Name.Builtin), + (r'\[[a-z_\[][\w. `,\[\]]*\]', Name.Constant), # .net [type]s + (r'-[a-z_]\w*', Name), + (r'\w+', Name), + (r'[.,;@{}\[\]$()=+*/\\&%!~?^`|<>-]|::', Punctuation), + ], + 'child': [ + (r'\)', Punctuation, '#pop'), + include('root'), + ], + 'multline': [ + (r'[^#&.]+', Comment.Multiline), + (r'#(>|>)', Comment.Multiline, '#pop'), + (r'\.(%s)' % '|'.join(commenthelp), String.Doc), + (r'[#&.]', Comment.Multiline), + ], + 'string': [ + (r"`[0abfnrtv'\"$`]", String.Escape), + (r'[^$`"]+', String.Double), + (r'\$\(', Punctuation, 'child'), + (r'""', String.Double), + (r'[`$]', String.Double), + (r'"', String.Double, '#pop'), + ], + 'heredoc-double': [ + (r'\n"@', String.Heredoc, '#pop'), + (r'\$\(', Punctuation, 'child'), + (r'[^@\n]+"]', String.Heredoc), + (r".", String.Heredoc), + ] + } + + +class PowerShellSessionLexer(ShellSessionBaseLexer): + """ + Lexer for simplistic Windows PowerShell sessions. + + .. versionadded:: 2.1 + """ + + name = 'PowerShell Session' + aliases = ['ps1con'] + filenames = [] + mimetypes = [] + + _innerLexerCls = PowerShellLexer + _ps1rgx = r'^(PS [^>]+> )(.*\n?)' + _ps2 = '>> ' + + +class FishShellLexer(RegexLexer): + """ + Lexer for Fish shell scripts. + + .. versionadded:: 2.1 + """ + + name = 'Fish' + aliases = ['fish', 'fishshell'] + filenames = ['*.fish', '*.load'] + mimetypes = ['application/x-fish'] + + tokens = { + 'root': [ + include('basic'), + include('data'), + include('interp'), + ], + 'interp': [ + (r'\$\(\(', Keyword, 'math'), + (r'\(', Keyword, 'paren'), + (r'\$#?(\w+|.)', Name.Variable), + ], + 'basic': [ + (r'\b(begin|end|if|else|while|break|for|in|return|function|block|' + r'case|continue|switch|not|and|or|set|echo|exit|pwd|true|false|' + r'cd|count|test)(\s*)\b', + bygroups(Keyword, Text)), + (r'\b(alias|bg|bind|breakpoint|builtin|command|commandline|' + r'complete|contains|dirh|dirs|emit|eval|exec|fg|fish|fish_config|' + r'fish_indent|fish_pager|fish_prompt|fish_right_prompt|' + r'fish_update_completions|fishd|funced|funcsave|functions|help|' + r'history|isatty|jobs|math|mimedb|nextd|open|popd|prevd|psub|' + r'pushd|random|read|set_color|source|status|trap|type|ulimit|' + r'umask|vared|fc|getopts|hash|kill|printf|time|wait)\s*\b(?!\.)', + Name.Builtin), + (r'#.*\n', Comment), + (r'\\[\w\W]', String.Escape), + (r'(\b\w+)(\s*)(=)', bygroups(Name.Variable, Text, Operator)), + (r'[\[\]()=]', Operator), + (r'<<-?\s*(\'?)\\?(\w+)[\w\W]+?\2', String), + ], + 'data': [ + (r'(?s)\$?"(\\\\|\\[0-7]+|\\.|[^"\\$])*"', String.Double), + (r'"', String.Double, 'string'), + (r"(?s)\$'(\\\\|\\[0-7]+|\\.|[^'\\])*'", String.Single), + (r"(?s)'.*?'", String.Single), + (r';', Punctuation), + (r'&|\||\^|<|>', Operator), + (r'\s+', Text), + (r'\d+(?= |\Z)', Number), + (r'[^=\s\[\]{}()$"\'`\\<&|;]+', Text), + ], + 'string': [ + (r'"', String.Double, '#pop'), + (r'(?s)(\\\\|\\[0-7]+|\\.|[^"\\$])+', String.Double), + include('interp'), + ], + 'paren': [ + (r'\)', Keyword, '#pop'), + include('root'), + ], + 'math': [ + (r'\)\)', Keyword, '#pop'), + (r'[-+*/%^|&]|\*\*|\|\|', Operator), + (r'\d+#\d+', Number), + (r'\d+#(?! )', Number), + (r'\d+', Number), + include('root'), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/smalltalk.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/smalltalk.py new file mode 100644 index 0000000000000000000000000000000000000000..79078b662dee357e0c099b4fd95ccd17c1e54069 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/smalltalk.py @@ -0,0 +1,195 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.smalltalk + ~~~~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for Smalltalk and related languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, include, bygroups, default +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation + +__all__ = ['SmalltalkLexer', 'NewspeakLexer'] + + +class SmalltalkLexer(RegexLexer): + """ + For `Smalltalk `_ syntax. + Contributed by Stefan Matthias Aust. + Rewritten by Nils Winter. + + .. versionadded:: 0.10 + """ + name = 'Smalltalk' + filenames = ['*.st'] + aliases = ['smalltalk', 'squeak', 'st'] + mimetypes = ['text/x-smalltalk'] + + tokens = { + 'root': [ + (r'(<)(\w+:)(.*?)(>)', bygroups(Text, Keyword, Text, Text)), + include('squeak fileout'), + include('whitespaces'), + include('method definition'), + (r'(\|)([\w\s]*)(\|)', bygroups(Operator, Name.Variable, Operator)), + include('objects'), + (r'\^|\:=|\_', Operator), + # temporaries + (r'[\]({}.;!]', Text), + ], + 'method definition': [ + # Not perfect can't allow whitespaces at the beginning and the + # without breaking everything + (r'([a-zA-Z]+\w*:)(\s*)(\w+)', + bygroups(Name.Function, Text, Name.Variable)), + (r'^(\b[a-zA-Z]+\w*\b)(\s*)$', bygroups(Name.Function, Text)), + (r'^([-+*/\\~<>=|&!?,@%]+)(\s*)(\w+)(\s*)$', + bygroups(Name.Function, Text, Name.Variable, Text)), + ], + 'blockvariables': [ + include('whitespaces'), + (r'(:)(\s*)(\w+)', + bygroups(Operator, Text, Name.Variable)), + (r'\|', Operator, '#pop'), + default('#pop'), # else pop + ], + 'literals': [ + (r"'(''|[^'])*'", String, 'afterobject'), + (r'\$.', String.Char, 'afterobject'), + (r'#\(', String.Symbol, 'parenth'), + (r'\)', Text, 'afterobject'), + (r'(\d+r)?-?\d+(\.\d+)?(e-?\d+)?', Number, 'afterobject'), + ], + '_parenth_helper': [ + include('whitespaces'), + (r'(\d+r)?-?\d+(\.\d+)?(e-?\d+)?', Number), + (r'[-+*/\\~<>=|&#!?,@%\w:]+', String.Symbol), + # literals + (r"'(''|[^'])*'", String), + (r'\$.', String.Char), + (r'#*\(', String.Symbol, 'inner_parenth'), + ], + 'parenth': [ + # This state is a bit tricky since + # we can't just pop this state + (r'\)', String.Symbol, ('root', 'afterobject')), + include('_parenth_helper'), + ], + 'inner_parenth': [ + (r'\)', String.Symbol, '#pop'), + include('_parenth_helper'), + ], + 'whitespaces': [ + # skip whitespace and comments + (r'\s+', Text), + (r'"(""|[^"])*"', Comment), + ], + 'objects': [ + (r'\[', Text, 'blockvariables'), + (r'\]', Text, 'afterobject'), + (r'\b(self|super|true|false|nil|thisContext)\b', + Name.Builtin.Pseudo, 'afterobject'), + (r'\b[A-Z]\w*(?!:)\b', Name.Class, 'afterobject'), + (r'\b[a-z]\w*(?!:)\b', Name.Variable, 'afterobject'), + (r'#("(""|[^"])*"|[-+*/\\~<>=|&!?,@%]+|[\w:]+)', + String.Symbol, 'afterobject'), + include('literals'), + ], + 'afterobject': [ + (r'! !$', Keyword, '#pop'), # squeak chunk delimiter + include('whitespaces'), + (r'\b(ifTrue:|ifFalse:|whileTrue:|whileFalse:|timesRepeat:)', + Name.Builtin, '#pop'), + (r'\b(new\b(?!:))', Name.Builtin), + (r'\:=|\_', Operator, '#pop'), + (r'\b[a-zA-Z]+\w*:', Name.Function, '#pop'), + (r'\b[a-zA-Z]+\w*', Name.Function), + (r'\w+:?|[-+*/\\~<>=|&!?,@%]+', Name.Function, '#pop'), + (r'\.', Punctuation, '#pop'), + (r';', Punctuation), + (r'[\])}]', Text), + (r'[\[({]', Text, '#pop'), + ], + 'squeak fileout': [ + # Squeak fileout format (optional) + (r'^"(""|[^"])*"!', Keyword), + (r"^'(''|[^'])*'!", Keyword), + (r'^(!)(\w+)( commentStamp: )(.*?)( prior: .*?!\n)(.*?)(!)', + bygroups(Keyword, Name.Class, Keyword, String, Keyword, Text, Keyword)), + (r"^(!)(\w+(?: class)?)( methodsFor: )('(?:''|[^'])*')(.*?!)", + bygroups(Keyword, Name.Class, Keyword, String, Keyword)), + (r'^(\w+)( subclass: )(#\w+)' + r'(\s+instanceVariableNames: )(.*?)' + r'(\s+classVariableNames: )(.*?)' + r'(\s+poolDictionaries: )(.*?)' + r'(\s+category: )(.*?)(!)', + bygroups(Name.Class, Keyword, String.Symbol, Keyword, String, Keyword, + String, Keyword, String, Keyword, String, Keyword)), + (r'^(\w+(?: class)?)(\s+instanceVariableNames: )(.*?)(!)', + bygroups(Name.Class, Keyword, String, Keyword)), + (r'(!\n)(\].*)(! !)$', bygroups(Keyword, Text, Keyword)), + (r'! !$', Keyword), + ], + } + + +class NewspeakLexer(RegexLexer): + """ + For `Newspeak ` syntax. + + .. versionadded:: 1.1 + """ + name = 'Newspeak' + filenames = ['*.ns2'] + aliases = ['newspeak', ] + mimetypes = ['text/x-newspeak'] + + tokens = { + 'root': [ + (r'\b(Newsqueak2)\b', Keyword.Declaration), + (r"'[^']*'", String), + (r'\b(class)(\s+)(\w+)(\s*)', + bygroups(Keyword.Declaration, Text, Name.Class, Text)), + (r'\b(mixin|self|super|private|public|protected|nil|true|false)\b', + Keyword), + (r'(\w+\:)(\s*)([a-zA-Z_]\w+)', + bygroups(Name.Function, Text, Name.Variable)), + (r'(\w+)(\s*)(=)', + bygroups(Name.Attribute, Text, Operator)), + (r'<\w+>', Comment.Special), + include('expressionstat'), + include('whitespace') + ], + + 'expressionstat': [ + (r'(\d+\.\d*|\.\d+|\d+[fF])[fF]?', Number.Float), + (r'\d+', Number.Integer), + (r':\w+', Name.Variable), + (r'(\w+)(::)', bygroups(Name.Variable, Operator)), + (r'\w+:', Name.Function), + (r'\w+', Name.Variable), + (r'\(|\)', Punctuation), + (r'\[|\]', Punctuation), + (r'\{|\}', Punctuation), + + (r'(\^|\+|\/|~|\*|<|>|=|@|%|\||&|\?|!|,|-|:)', Operator), + (r'\.|;', Punctuation), + include('whitespace'), + include('literals'), + ], + 'literals': [ + (r'\$.', String), + (r"'[^']*'", String), + (r"#'[^']*'", String.Symbol), + (r"#\w+:?", String.Symbol), + (r"#(\+|\/|~|\*|<|>|=|@|%|\||&|\?|!|,|-)+", String.Symbol) + ], + 'whitespace': [ + (r'\s+', Text), + (r'"[^"]*"', Comment) + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/smv.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/smv.py new file mode 100644 index 0000000000000000000000000000000000000000..380a3b703b4968952b9b2d859c2c2e51ddd5097f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/smv.py @@ -0,0 +1,79 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.smv + ~~~~~~~~~~~~~~~~~~~ + + Lexers for the SMV languages. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, words +from pygments.token import Comment, Generic, Keyword, Name, Number, \ + Operator, Punctuation, Text + +__all__ = ['NuSMVLexer'] + + +class NuSMVLexer(RegexLexer): + """ + Lexer for the NuSMV language. + + .. versionadded:: 2.2 + """ + + name = 'NuSMV' + aliases = ['nusmv'] + filenames = ['*.smv'] + mimetypes = [] + + tokens = { + 'root': [ + # Comments + (r'(?s)\/\-\-.*?\-\-/', Comment), + (r'--.*\n', Comment), + + # Reserved + (words(('MODULE', 'DEFINE', 'MDEFINE', 'CONSTANTS', 'VAR', 'IVAR', + 'FROZENVAR', 'INIT', 'TRANS', 'INVAR', 'SPEC', 'CTLSPEC', + 'LTLSPEC', 'PSLSPEC', 'COMPUTE', 'NAME', 'INVARSPEC', + 'FAIRNESS', 'JUSTICE', 'COMPASSION', 'ISA', 'ASSIGN', + 'CONSTRAINT', 'SIMPWFF', 'CTLWFF', 'LTLWFF', 'PSLWFF', + 'COMPWFF', 'IN', 'MIN', 'MAX', 'MIRROR', 'PRED', + 'PREDICATES'), suffix=r'(?![\w$#-])'), + Keyword.Declaration), + (r'process(?![\w$#-])', Keyword), + (words(('array', 'of', 'boolean', 'integer', 'real', 'word'), + suffix=r'(?![\w$#-])'), Keyword.Type), + (words(('case', 'esac'), suffix=r'(?![\w$#-])'), Keyword), + (words(('word1', 'bool', 'signed', 'unsigned', 'extend', 'resize', + 'sizeof', 'uwconst', 'swconst', 'init', 'self', 'count', + 'abs', 'max', 'min'), suffix=r'(?![\w$#-])'), + Name.Builtin), + (words(('EX', 'AX', 'EF', 'AF', 'EG', 'AG', 'E', 'F', 'O', 'G', + 'H', 'X', 'Y', 'Z', 'A', 'U', 'S', 'V', 'T', 'BU', 'EBF', + 'ABF', 'EBG', 'ABG', 'next', 'mod', 'union', 'in', 'xor', + 'xnor'), suffix=r'(?![\w$#-])'), + Operator.Word), + (words(('TRUE', 'FALSE'), suffix=r'(?![\w$#-])'), Keyword.Constant), + + # Names + (r'[a-zA-Z_][\w$#-]*', Name.Variable), + + # Operators + (r':=', Operator), + (r'[-&|+*/<>!=]', Operator), + + # Literals + (r'\-?\d+\b', Number.Integer), + (r'0[su][bB]\d*_[01_]+', Number.Bin), + (r'0[su][oO]\d*_[0-7_]+', Number.Oct), + (r'0[su][dD]\d*_[\d_]+', Number.Dec), + (r'0[su][hH]\d*_[\da-fA-F_]+', Number.Hex), + + # Whitespace, punctuation and the rest + (r'\s+', Text.Whitespace), + (r'[()\[\]{};?:.,]', Punctuation), + ], + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/snobol.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/snobol.py new file mode 100644 index 0000000000000000000000000000000000000000..f6e12fd26761d41d16e71260f679a6a86263f7a6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/snobol.py @@ -0,0 +1,83 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.snobol + ~~~~~~~~~~~~~~~~~~~~~~ + + Lexers for the SNOBOL language. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +from pygments.lexer import RegexLexer, bygroups +from pygments.token import Text, Comment, Operator, Keyword, Name, String, \ + Number, Punctuation + +__all__ = ['SnobolLexer'] + + +class SnobolLexer(RegexLexer): + """ + Lexer for the SNOBOL4 programming language. + + Recognizes the common ASCII equivalents of the original SNOBOL4 operators. + Does not require spaces around binary operators. + + .. versionadded:: 1.5 + """ + + name = "Snobol" + aliases = ["snobol"] + filenames = ['*.snobol'] + mimetypes = ['text/x-snobol'] + + tokens = { + # root state, start of line + # comments, continuation lines, and directives start in column 1 + # as do labels + 'root': [ + (r'\*.*\n', Comment), + (r'[+.] ', Punctuation, 'statement'), + (r'-.*\n', Comment), + (r'END\s*\n', Name.Label, 'heredoc'), + (r'[A-Za-z$][\w$]*', Name.Label, 'statement'), + (r'\s+', Text, 'statement'), + ], + # statement state, line after continuation or label + 'statement': [ + (r'\s*\n', Text, '#pop'), + (r'\s+', Text), + (r'(?<=[^\w.])(LT|LE|EQ|NE|GE|GT|INTEGER|IDENT|DIFFER|LGT|SIZE|' + r'REPLACE|TRIM|DUPL|REMDR|DATE|TIME|EVAL|APPLY|OPSYN|LOAD|UNLOAD|' + r'LEN|SPAN|BREAK|ANY|NOTANY|TAB|RTAB|REM|POS|RPOS|FAIL|FENCE|' + r'ABORT|ARB|ARBNO|BAL|SUCCEED|INPUT|OUTPUT|TERMINAL)(?=[^\w.])', + Name.Builtin), + (r'[A-Za-z][\w.]*', Name), + # ASCII equivalents of original operators + # | for the EBCDIC equivalent, ! likewise + # \ for EBCDIC negation + (r'\*\*|[?$.!%*/#+\-@|&\\=]', Operator), + (r'"[^"]*"', String), + (r"'[^']*'", String), + # Accept SPITBOL syntax for real numbers + # as well as Macro SNOBOL4 + (r'[0-9]+(?=[^.EeDd])', Number.Integer), + (r'[0-9]+(\.[0-9]*)?([EDed][-+]?[0-9]+)?', Number.Float), + # Goto + (r':', Punctuation, 'goto'), + (r'[()<>,;]', Punctuation), + ], + # Goto block + 'goto': [ + (r'\s*\n', Text, "#pop:2"), + (r'\s+', Text), + (r'F|S', Keyword), + (r'(\()([A-Za-z][\w.]*)(\))', + bygroups(Punctuation, Name.Label, Punctuation)) + ], + # everything after the END statement is basically one + # big heredoc. + 'heredoc': [ + (r'.*\n', String.Heredoc) + ] + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/special.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/special.py new file mode 100644 index 0000000000000000000000000000000000000000..6e076b0ce7b5c9c4b963b9995e19d5862b3f4b4b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/special.py @@ -0,0 +1,103 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.special + ~~~~~~~~~~~~~~~~~~~~~~~ + + Special lexers. + + :copyright: Copyright 2006-2017 by the Pygments team, see AUTHORS. + :license: BSD, see LICENSE for details. +""" + +import re + +from pygments.lexer import Lexer +from pygments.token import Token, Error, Text +from pygments.util import get_choice_opt, text_type, BytesIO + + +__all__ = ['TextLexer', 'RawTokenLexer'] + + +class TextLexer(Lexer): + """ + "Null" lexer, doesn't highlight anything. + """ + name = 'Text only' + aliases = ['text'] + filenames = ['*.txt'] + mimetypes = ['text/plain'] + priority = 0.01 + + def get_tokens_unprocessed(self, text): + yield 0, Text, text + + def analyse_text(text): + return TextLexer.priority + +_ttype_cache = {} + +line_re = re.compile(b'.*?\n') + + +class RawTokenLexer(Lexer): + """ + Recreate a token stream formatted with the `RawTokenFormatter`. This + lexer raises exceptions during parsing if the token stream in the + file is malformed. + + Additional options accepted: + + `compress` + If set to ``"gz"`` or ``"bz2"``, decompress the token stream with + the given compression algorithm before lexing (default: ``""``). + """ + name = 'Raw token data' + aliases = ['raw'] + filenames = [] + mimetypes = ['application/x-pygments-tokens'] + + def __init__(self, **options): + self.compress = get_choice_opt(options, 'compress', + ['', 'none', 'gz', 'bz2'], '') + Lexer.__init__(self, **options) + + def get_tokens(self, text): + if isinstance(text, text_type): + # raw token stream never has any non-ASCII characters + text = text.encode('ascii') + if self.compress == 'gz': + import gzip + gzipfile = gzip.GzipFile('', 'rb', 9, BytesIO(text)) + text = gzipfile.read() + elif self.compress == 'bz2': + import bz2 + text = bz2.decompress(text) + + # do not call Lexer.get_tokens() because we do not want Unicode + # decoding to occur, and stripping is not optional. + text = text.strip(b'\n') + b'\n' + for i, t, v in self.get_tokens_unprocessed(text): + yield t, v + + def get_tokens_unprocessed(self, text): + length = 0 + for match in line_re.finditer(text): + try: + ttypestr, val = match.group().split(b'\t', 1) + except ValueError: + val = match.group().decode('ascii', 'replace') + ttype = Error + else: + ttype = _ttype_cache.get(ttypestr) + if not ttype: + ttype = Token + ttypes = ttypestr.split('.')[1:] + for ttype_ in ttypes: + if not ttype_ or not ttype_[0].isupper(): + raise ValueError('malformed token name') + ttype = getattr(ttype, ttype_) + _ttype_cache[ttypestr] = ttype + val = val[2:-2].decode('unicode-escape') + yield length, ttype, val + length += len(val) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/sql.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/sql.py new file mode 100644 index 0000000000000000000000000000000000000000..7507c0fc80f9891ff16378de93a9362f2b17b904 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib/python3.10/site-packages/wandb/vendor/pygments/lexers/sql.py @@ -0,0 +1,681 @@ +# -*- coding: utf-8 -*- +""" + pygments.lexers.sql + ~~~~~~~~~~~~~~~~~~~ + + Lexers for various SQL dialects and related interactive sessions. + + Postgres specific lexers: + + `PostgresLexer` + A SQL lexer for the PostgreSQL dialect. Differences w.r.t. the SQL + lexer are: + + - keywords and data types list parsed from the PG docs (run the + `_postgres_builtins` module to update them); + - Content of $-strings parsed using a specific lexer, e.g. the content + of a PL/Python function is parsed using the Python lexer; + - parse PG specific constructs: E-strings, $-strings, U&-strings, + different operators and punctuation. + + `PlPgsqlLexer` + A lexer for the PL/pgSQL language. Adds a few specific construct on + top of the PG SQL lexer (such as < + +

+

Run your *raw* PyTorch training script on any kind of device +

+ +

+ +

+ +## Easy to integrate + +🤗 Accelerate was created for PyTorch users who like to write the training loop of PyTorch models but are reluctant to write and maintain the boilerplate code needed to use multi-GPUs/TPU/fp16. + +🤗 Accelerate abstracts exactly and only the boilerplate code related to multi-GPUs/TPU/fp16 and leaves the rest of your code unchanged. + +Here is an example: + +```diff + import torch + import torch.nn.functional as F + from datasets import load_dataset ++ from accelerate import Accelerator + ++ accelerator = Accelerator() +- device = 'cpu' ++ device = accelerator.device + + model = torch.nn.Transformer().to(device) + optimizer = torch.optim.Adam(model.parameters()) + + dataset = load_dataset('my_dataset') + data = torch.utils.data.DataLoader(dataset, shuffle=True) + ++ model, optimizer, data = accelerator.prepare(model, optimizer, data) + + model.train() + for epoch in range(10): + for source, targets in data: + source = source.to(device) + targets = targets.to(device) + + optimizer.zero_grad() + + output = model(source) + loss = F.cross_entropy(output, targets) + +- loss.backward() ++ accelerator.backward(loss) + + optimizer.step() +``` + +As you can see in this example, by adding 5-lines to any standard PyTorch training script you can now run on any kind of single or distributed node setting (single CPU, single GPU, multi-GPUs and TPUs) as well as with or without mixed precision (fp8, fp16, bf16). + +In particular, the same code can then be run without modification on your local machine for debugging or your training environment. + +🤗 Accelerate even handles the device placement for you (which requires a few more changes to your code, but is safer in general), so you can even simplify your training loop further: + +```diff + import torch + import torch.nn.functional as F + from datasets import load_dataset ++ from accelerate import Accelerator + +- device = 'cpu' ++ accelerator = Accelerator() + +- model = torch.nn.Transformer().to(device) ++ model = torch.nn.Transformer() + optimizer = torch.optim.Adam(model.parameters()) + + dataset = load_dataset('my_dataset') + data = torch.utils.data.DataLoader(dataset, shuffle=True) + ++ model, optimizer, data = accelerator.prepare(model, optimizer, data) + + model.train() + for epoch in range(10): + for source, targets in data: +- source = source.to(device) +- targets = targets.to(device) + + optimizer.zero_grad() + + output = model(source) + loss = F.cross_entropy(output, targets) + +- loss.backward() ++ accelerator.backward(loss) + + optimizer.step() +``` + +Want to learn more? Check out the [documentation](https://huggingface.co/docs/accelerate) or have a look at our [examples](https://github.com/huggingface/accelerate/tree/main/examples). + +## Launching script + +🤗 Accelerate also provides an optional CLI tool that allows you to quickly configure and test your training environment before launching the scripts. No need to remember how to use `torch.distributed.run` or to write a specific launcher for TPU training! +On your machine(s) just run: + +```bash +accelerate config +``` + +and answer the questions asked. This will generate a config file that will be used automatically to properly set the default options when doing + +```bash +accelerate launch my_script.py --args_to_my_script +``` + +For instance, here is how you would run the GLUE example on the MRPC task (from the root of the repo): + +```bash +accelerate launch examples/nlp_example.py +``` + +This CLI tool is **optional**, and you can still use `python my_script.py` or `python -m torchrun my_script.py` at your convenience. + +You can also directly pass in the arguments you would to `torchrun` as arguments to `accelerate launch` if you wish to not run` accelerate config`. + +For example, here is how to launch on two GPUs: + +```bash +accelerate launch --multi_gpu --num_processes 2 examples/nlp_example.py +``` + +To learn more, check the CLI documentation available [here](https://huggingface.co/docs/accelerate/package_reference/cli). + +Or view the configuration zoo [here](https://github.com/huggingface/accelerate/blob/main/examples/config_yaml_templates/) + +## Launching multi-CPU run using MPI + +🤗 Here is another way to launch multi-CPU run using MPI. You can learn how to install Open MPI on [this page](https://www.open-mpi.org/faq/?category=building#easy-build). You can use Intel MPI or MVAPICH as well. +Once you have MPI setup on your cluster, just run: +```bash +accelerate config +``` +Answer the questions that are asked, selecting to run using multi-CPU, and answer "yes" when asked if you want accelerate to launch mpirun. +Then, use `accelerate launch` with your script like: +```bash +accelerate launch examples/nlp_example.py +``` +Alternatively, you can use mpirun directly, without using the CLI like: +```bash +mpirun -np 2 python examples/nlp_example.py +``` + +## Launching training using DeepSpeed + +🤗 Accelerate supports training on single/multiple GPUs using DeepSpeed. To use it, you don't need to change anything in your training code; you can set everything using just `accelerate config`. However, if you desire to tweak your DeepSpeed related args from your Python script, we provide you the `DeepSpeedPlugin`. + +```python +from accelerate import Accelerator, DeepSpeedPlugin + +# deepspeed needs to know your gradient accumulation steps beforehand, so don't forget to pass it +# Remember you still need to do gradient accumulation by yourself, just like you would have done without deepspeed +deepspeed_plugin = DeepSpeedPlugin(zero_stage=2, gradient_accumulation_steps=2) +accelerator = Accelerator(mixed_precision='fp16', deepspeed_plugin=deepspeed_plugin) + +# How to save your 🤗 Transformer? +accelerator.wait_for_everyone() +unwrapped_model = accelerator.unwrap_model(model) +unwrapped_model.save_pretrained(save_dir, save_function=accelerator.save, state_dict=accelerator.get_state_dict(model)) +``` + +Note: DeepSpeed support is experimental for now. In case you get into some problem, please open an issue. + +## Launching your training from a notebook + +🤗 Accelerate also provides a `notebook_launcher` function you can use in a notebook to launch a distributed training. This is especially useful for Colab or Kaggle notebooks with a TPU backend. Just define your training loop in a `training_function` then in your last cell, add: + +```python +from accelerate import notebook_launcher + +notebook_launcher(training_function) +``` + +An example can be found in [this notebook](https://github.com/huggingface/notebooks/blob/main/examples/accelerate_examples/simple_nlp_example.ipynb). [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/accelerate_examples/simple_nlp_example.ipynb) + +## Why should I use 🤗 Accelerate? + +You should use 🤗 Accelerate when you want to easily run your training scripts in a distributed environment without having to renounce full control over your training loop. This is not a high-level framework above PyTorch, just a thin wrapper so you don't have to learn a new library. In fact, the whole API of 🤗 Accelerate is in one class, the `Accelerator` object. + +## Why shouldn't I use 🤗 Accelerate? + +You shouldn't use 🤗 Accelerate if you don't want to write a training loop yourself. There are plenty of high-level libraries above PyTorch that will offer you that, 🤗 Accelerate is not one of them. + +## Frameworks using 🤗 Accelerate + +If you like the simplicity of 🤗 Accelerate but would prefer a higher-level abstraction around its capabilities, some frameworks and libraries that are built on top of 🤗 Accelerate are listed below: + +* [Amphion](https://github.com/open-mmlab/Amphion) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development. +* [Animus](https://github.com/Scitator/animus) is a minimalistic framework to run machine learning experiments. Animus highlights common "breakpoints" in ML experiments and provides a unified interface for them within [IExperiment](https://github.com/Scitator/animus/blob/main/animus/core.py#L76). +* [Catalyst](https://github.com/catalyst-team/catalyst#getting-started) is a PyTorch framework for Deep Learning Research and Development. It focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write yet another train loop. Catalyst provides a [Runner](https://catalyst-team.github.io/catalyst/api/core.html#runner) to connect all parts of the experiment: hardware backend, data transformations, model training, and inference logic. +* [fastai](https://github.com/fastai/fastai#installing) is a PyTorch framework for Deep Learning that simplifies training fast and accurate neural nets using modern best practices. fastai provides a [Learner](https://docs.fast.ai/learner.html#Learner) to handle the training, fine-tuning, and inference of deep learning algorithms. +* [Finetuner](https://github.com/jina-ai/finetuner) is a service that enables models to create higher-quality embeddings for semantic search, visual similarity search, cross-modal text<->image search, recommendation systems, clustering, duplication detection, anomaly detection, or other uses. +* [InvokeAI](https://github.com/invoke-ai/InvokeAI) is a creative engine for Stable Diffusion models, offering industry-leading WebUI, terminal usage support, and serves as the foundation for many commercial products. +* [Kornia](https://kornia.readthedocs.io/en/latest/get-started/introduction.html) is a differentiable library that allows classical computer vision to be integrated into deep learning models. Kornia provides a [Trainer](https://kornia.readthedocs.io/en/latest/x.html#kornia.x.Trainer) with the specific purpose to train and fine-tune the supported deep learning algorithms within the library. +* [Open Assistant](https://projects.laion.ai/Open-Assistant/) is a chat-based assistant that understands tasks, can interact with their party systems, and retrieve information dynamically to do so. +* [pytorch-accelerated](https://github.com/Chris-hughes10/pytorch-accelerated) is a lightweight training library, with a streamlined feature set centered around a general-purpose [Trainer](https://pytorch-accelerated.readthedocs.io/en/latest/trainer.html), that places a huge emphasis on simplicity and transparency; enabling users to understand exactly what is going on under the hood, but without having to write and maintain the boilerplate themselves! +* [Stable Diffusion web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) is an open-source browser-based easy-to-use interface based on the Gradio library for Stable Diffusion. +* [torchkeras](https://github.com/lyhue1991/torchkeras) is a simple tool for training pytorch model just in a keras style, a dynamic and beautiful plot is provided in notebook to monitor your loss or metric. +* [transformers](https://github.com/huggingface/transformers) as a tool for helping train state-of-the-art machine learning models in PyTorch, Tensorflow, and JAX. (Accelerate is the backend for the PyTorch side). + + +## Installation + +This repository is tested on Python 3.8+ and PyTorch 1.10.0+ + +You should install 🤗 Accelerate in a [virtual environment](https://docs.python.org/3/library/venv.html). If you're unfamiliar with Python virtual environments, check out the [user guide](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/). + +First, create a virtual environment with the version of Python you're going to use and activate it. + +Then, you will need to install PyTorch: refer to the [official installation page](https://pytorch.org/get-started/locally/#start-locally) regarding the specific install command for your platform. Then 🤗 Accelerate can be installed using pip as follows: + +```bash +pip install accelerate +``` + +## Supported integrations + +- CPU only +- multi-CPU on one node (machine) +- multi-CPU on several nodes (machines) +- single GPU +- multi-GPU on one node (machine) +- multi-GPU on several nodes (machines) +- TPU +- FP16/BFloat16 mixed precision +- FP8 mixed precision with [Transformer Engine](https://github.com/NVIDIA/TransformerEngine) or [MS-AMP](https://github.com/Azure/MS-AMP/) +- DeepSpeed support (Experimental) +- PyTorch Fully Sharded Data Parallel (FSDP) support (Experimental) +- Megatron-LM support (Experimental) + +## Citing 🤗 Accelerate + +If you use 🤗 Accelerate in your publication, please cite it by using the following BibTeX entry. + +```bibtex +@Misc{accelerate, + title = {Accelerate: Training and inference at scale made simple, efficient and adaptable.}, + author = {Sylvain Gugger and Lysandre Debut and Thomas Wolf and Philipp Schmid and Zachary Mueller and Sourab Mangrulkar and Marc Sun and Benjamin Bossan}, + howpublished = {\url{https://github.com/huggingface/accelerate}}, + year = {2022} +} +``` diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..68dee441cfbceb51626c3c98466b1b871c91db6a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/RECORD @@ -0,0 +1,180 @@ +../../../bin/accelerate,sha256=gkJKdVcf3-LCe272jvmAxgGcnpi6ITnN5aFHM7kUAFQ,255 +../../../bin/accelerate-config,sha256=5UCwDy-vp08HIBdq7JO25jL6o9-yxVoWFLiZb2NgOtc,247 +../../../bin/accelerate-estimate-memory,sha256=C8iV9GC-z4aEk5M641mMiwla2anWQfOG4jYDtNhY-Bg,249 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+accelerate/utils/rich.py,sha256=8JZX_uGMQX-BufdXxJpdne7BWd1KyLHSgbiGxrDMYr8,847 +accelerate/utils/torch_xla.py,sha256=Pq1tuqN0X_pWDVza6YgjfO45uoJdoRVRForLeLQzFus,1908 +accelerate/utils/tqdm.py,sha256=k8e9JnieTEQHCCNBaiBys7hPxWlEbyRASdIma-qy_X8,1657 +accelerate/utils/transformer_engine.py,sha256=sVh7oqQL2LepdzAFPHxs2a8VtgukTFbvaNxzLlaq2mo,7521 +accelerate/utils/versions.py,sha256=UgmcbjBm--6CIx1ZamSAMjAK_B_2l48LbeaNygqej8M,2149 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/WHEEL b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..370ec5f1aa3524bfd31a19fd21e907335f48a7f6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/WHEEL @@ -0,0 +1,5 @@ +Wheel-Version: 1.0 +Generator: setuptools (78.1.1) +Root-Is-Purelib: true +Tag: py3-none-any + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/entry_points.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/entry_points.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b9bf6b798b250a47a3febdf0e32c88507fbf86d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/entry_points.txt @@ -0,0 +1,6 @@ +[console_scripts] +accelerate = accelerate.commands.accelerate_cli:main +accelerate-config = accelerate.commands.config:main +accelerate-estimate-memory = accelerate.commands.estimate:main +accelerate-launch = accelerate.commands.launch:main +accelerate-merge-weights = accelerate.commands.merge:main diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/licenses/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..261eeb9e9f8b2b4b0d119366dda99c6fd7d35c64 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/licenses/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/top_level.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9368375be0e0e13fdad0eea4b92541bd9e1f594 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate-1.12.0.dist-info/top_level.txt @@ -0,0 +1 @@ +accelerate diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..6132a275dc902b75d4387cfa968af1d98498ddd5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/__init__.py @@ -0,0 +1,51 @@ +# Copyright 2020 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +__version__ = "1.12.0" + +from .accelerator import Accelerator +from .big_modeling import ( + cpu_offload, + cpu_offload_with_hook, + disk_offload, + dispatch_model, + init_empty_weights, + init_on_device, + load_checkpoint_and_dispatch, +) +from .data_loader import skip_first_batches +from .inference import prepare_pippy +from .launchers import debug_launcher, notebook_launcher +from .parallelism_config import ParallelismConfig +from .state import PartialState +from .utils import ( + AutocastKwargs, + DataLoaderConfiguration, + DDPCommunicationHookType, + DeepSpeedPlugin, + DistributedDataParallelKwargs, + DistributedType, + FullyShardedDataParallelPlugin, + GradScalerKwargs, + InitProcessGroupKwargs, + ProfileKwargs, + find_executable_batch_size, + infer_auto_device_map, + is_rich_available, + load_checkpoint_in_model, + synchronize_rng_states, +) + + +if is_rich_available(): + from .utils import rich diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/accelerator.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/accelerator.py new file mode 100644 index 0000000000000000000000000000000000000000..5abf98b305afc8a8c51f08ccacf042d173b6a25c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/accelerator.py @@ -0,0 +1,4350 @@ +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import annotations + +import contextlib +import functools +import json +import math +import os +import re +import shutil +import warnings +from collections import OrderedDict +from contextlib import contextmanager +from functools import partial +from types import MethodType +from typing import Any, Callable, Union + +import torch +import torch.utils.hooks as hooks +from huggingface_hub import split_torch_state_dict_into_shards + +from accelerate.utils.dataclasses import FP8BackendType + +from .big_modeling import _attach_context_parallel_hooks +from .checkpointing import load_accelerator_state, load_custom_state, save_accelerator_state, save_custom_state +from .data_loader import DataLoaderDispatcher, prepare_data_loader, skip_first_batches +from .logging import get_logger +from .optimizer import AcceleratedOptimizer +from .parallelism_config import ParallelismConfig +from .scheduler import AcceleratedScheduler +from .state import AcceleratorState, GradientState, PartialState +from .tracking import LOGGER_TYPE_TO_CLASS, GeneralTracker, filter_trackers +from .utils import ( + MODEL_NAME, + SAFE_WEIGHTS_INDEX_NAME, + SAFE_WEIGHTS_NAME, + SAFE_WEIGHTS_PATTERN_NAME, + WEIGHTS_INDEX_NAME, + WEIGHTS_NAME, + WEIGHTS_PATTERN_NAME, + AORecipeKwargs, + AutocastKwargs, + DataLoaderConfiguration, + DeepSpeedPlugin, + DistributedDataParallelKwargs, + DistributedType, + DynamoBackend, + FP8RecipeKwargs, + FullyShardedDataParallelPlugin, + GradientAccumulationPlugin, + GradScalerKwargs, + InitProcessGroupKwargs, + KwargsHandler, + LoggerType, + MegatronLMPlugin, + MSAMPRecipeKwargs, + PrecisionType, + ProfileKwargs, + ProjectConfiguration, + RNGType, + TERecipeKwargs, + TorchDynamoPlugin, + TorchTensorParallelPlugin, + apply_fp8_autowrap, + check_os_kernel, + clean_state_dict_for_safetensors, + compare_versions, + convert_model, + convert_model_to_fp8_ao, + convert_outputs_to_fp32, + ensure_weights_retied, + extract_model_from_parallel, + fsdp2_apply_ac, + fsdp2_canonicalize_names, + fsdp2_prepare_model, + fsdp2_switch_optimizer_parameters, + gather, + gather_object, + get_fsdp2_grad_scaler, + get_grad_scaler, + get_mixed_precision_context_manager, + get_pretty_name, + has_offloaded_params, + is_bf16_available, + is_bitsandbytes_multi_backend_available, + is_deepspeed_available, + is_ipex_available, + is_lomo_available, + is_megatron_lm_available, + is_mlu_available, + is_msamp_available, + is_musa_available, + is_npu_available, + is_torch_version, + is_torch_xla_available, + is_torchao_available, + is_transformer_engine_available, + is_xpu_available, + load_fsdp_model, + load_fsdp_optimizer, + model_has_dtensor, + pad_across_processes, + parse_choice_from_env, + recursively_apply, + reduce, + release_memory, + save, + save_fsdp_model, + save_fsdp_optimizer, + wait_for_everyone, +) +from .utils.constants import ( + FSDP2_PYTORCH_VERSION, + FSDP_PYTORCH_VERSION, + PROFILE_PATTERN_NAME, + SCALER_NAME, +) +from .utils.modeling import get_state_dict_offloaded_model +from .utils.other import compile_regions, compile_regions_deepspeed, is_compiled_module + + +if is_deepspeed_available(): + from .utils import ( + DeepSpeedEngineWrapper, + DeepSpeedOptimizerWrapper, + DeepSpeedSchedulerWrapper, + DummyOptim, + DummyScheduler, + map_pytorch_optim_to_deepspeed, + ) + +if is_megatron_lm_available(): + from .utils import ( + MegatronEngine, + MegatronLMDummyDataLoader, + MegatronLMDummyScheduler, + MegatronLMOptimizerWrapper, + MegatronLMSchedulerWrapper, + megatron_lm_initialize, + megatron_lm_prepare_data_loader, + megatron_lm_prepare_model_optimizer_scheduler, + ) + +from torch.distributed.algorithms.join import Join + + +if is_torch_xla_available(): + import torch_xla.core.xla_model as xm + import torch_xla.distributed.xla_multiprocessing as xmp + + +if is_npu_available(check_device=False): + import torch_npu # noqa: F401 + + +try: + from torch.optim.lr_scheduler import LRScheduler +except ImportError: + from torch.optim.lr_scheduler import _LRScheduler as LRScheduler + +logger = get_logger(__name__) + +# Sentinel values for defaults +_split_batches = object() +_dispatch_batches = object() +_even_batches = object() +_use_seedable_sampler = object() + + +class Accelerator: + """ + Creates an instance of an accelerator for distributed training or mixed precision training. + + Args: + device_placement (`bool`, *optional*, defaults to `True`): + Whether or not the accelerator should put objects on device (tensors yielded by the dataloader, model, + etc...). + mixed_precision (`str`, *optional*): + Whether or not to use mixed precision training. Choose from 'no','fp16','bf16' or 'fp8'. Will default to + the value in the environment variable `ACCELERATE_MIXED_PRECISION`, which will use the default value in the + accelerate config of the current system or the flag passed with the `accelerate.launch` command. 'fp8' + requires the installation of transformers-engine. + gradient_accumulation_steps (`int`, *optional*, default to 1): + The number of steps that should pass before gradients are accumulated. A number > 1 should be combined with + `Accelerator.accumulate`. If not passed, will default to the value in the environment variable + `ACCELERATE_GRADIENT_ACCUMULATION_STEPS`. Can also be configured through a `GradientAccumulationPlugin`. + cpu (`bool`, *optional*): + Whether or not to force the script to execute on CPU. Will ignore GPU available if set to `True` and force + the execution on one process only. + dataloader_config (`DataLoaderConfiguration`, *optional*): + A configuration for how the dataloaders should be handled in distributed scenarios. + deepspeed_plugin ([`~utils.DeepSpeedPlugin`] or dict of `str`: [`~utils.DeepSpeedPlugin`], *optional*): + Tweak your DeepSpeed related args using this argument. This argument is optional and can be configured + directly using *accelerate config*. If using multiple plugins, use the configured `key` property of each + plugin to access them from `accelerator.state.get_deepspeed_plugin(key)`. Alias for `deepspeed_plugins`. + fsdp_plugin ([`~utils.FullyShardedDataParallelPlugin`], *optional*): + Tweak your FSDP related args using this argument. This argument is optional and can be configured directly + using *accelerate config* + torch_tp_plugin ([`~utils.TorchTensorParallelPlugin`], *optional*): + Deprecated: use `parallelism_config` with `tp_size` instead. + megatron_lm_plugin ([`~utils.MegatronLMPlugin`], *optional*): + Tweak your MegatronLM related args using this argument. This argument is optional and can be configured + directly using *accelerate config* + rng_types (list of `str` or [`~utils.RNGType`]): + The list of random number generators to synchronize at the beginning of each iteration in your prepared + dataloaders. Should be one or several of: + + - `"torch"`: the base torch random number generator + - `"cuda"`: the CUDA random number generator (GPU only) + - `"xla"`: the XLA random number generator (TPU only) + - `"generator"`: the `torch.Generator` of the sampler (or batch sampler if there is no sampler in your + dataloader) or of the iterable dataset (if it exists) if the underlying dataset is of that type. + + Will default to `["torch"]` for PyTorch versions <=1.5.1 and `["generator"]` for PyTorch versions >= 1.6. + log_with (list of `str`, [`~utils.LoggerType`] or [`~tracking.GeneralTracker`], *optional*): + A list of loggers to be setup for experiment tracking. Should be one or several of: + + - `"all"` + - `"tensorboard"` + - `"wandb"` + - `"trackio"` + - `"aim"` + - `"comet_ml"` + - `"mlflow"` + - `"dvclive"` + - `"swanlab"` + If `"all"` is selected, will pick up all available trackers in the environment and initialize them. Can + also accept implementations of `GeneralTracker` for custom trackers, and can be combined with `"all"`. + project_config ([`~utils.ProjectConfiguration`], *optional*): + A configuration for how saving the state can be handled. + project_dir (`str`, `os.PathLike`, *optional*): + A path to a directory for storing data such as logs of locally-compatible loggers and potentially saved + checkpoints. + step_scheduler_with_optimizer (`bool`, *optional*, defaults to `True`): + Set `True` if the learning rate scheduler is stepped at the same time as the optimizer, `False` if only + done under certain circumstances (at the end of each epoch, for instance). + kwargs_handlers (list of [`~utils.KwargsHandler`], *optional*) + A list of [`~utils.KwargsHandler`] to customize how the objects related to distributed training, profiling + or mixed precision are created. See [kwargs](kwargs) for more information. + dynamo_backend (`str` or [`~utils.DynamoBackend`], *optional*, defaults to `"no"`): + Set to one of the possible dynamo backends to optimize your training with torch dynamo. + dynamo_plugin ([`~utils.TorchDynamoPlugin`], *optional*): + A configuration for how torch dynamo should be handled, if more tweaking than just the `backend` or `mode` + is needed. + gradient_accumulation_plugin ([`~utils.GradientAccumulationPlugin`], *optional*): + A configuration for how gradient accumulation should be handled, if more tweaking than just the + `gradient_accumulation_steps` is needed. + + **Available attributes:** + + - **device** (`torch.device`) -- The device to use. + - **distributed_type** ([`~utils.DistributedType`]) -- The distributed training configuration. + - **local_process_index** (`int`) -- The process index on the current machine. + - **mixed_precision** (`str`) -- The configured mixed precision mode. + - **num_processes** (`int`) -- The total number of processes used for training. + - **optimizer_step_was_skipped** (`bool`) -- Whether or not the optimizer update was skipped (because of + gradient overflow in mixed precision), in which + case the learning rate should not be changed. + - **process_index** (`int`) -- The overall index of the current process among all processes. + - **state** ([`~state.AcceleratorState`]) -- The distributed setup state. + - **sync_gradients** (`bool`) -- Whether the gradients are currently being synced across all processes. + - **use_distributed** (`bool`) -- Whether the current configuration is for distributed training. + """ + + def __init__( + self, + device_placement: bool = True, + split_batches: bool = _split_batches, + mixed_precision: PrecisionType | str | None = None, + gradient_accumulation_steps: int = 1, + cpu: bool = False, + dataloader_config: DataLoaderConfiguration | None = None, + deepspeed_plugin: DeepSpeedPlugin | dict[str, DeepSpeedPlugin] | None = None, + fsdp_plugin: FullyShardedDataParallelPlugin | None = None, + torch_tp_plugin: TorchTensorParallelPlugin | None = None, # Deprecate later, warning in `post_init` + megatron_lm_plugin: MegatronLMPlugin | None = None, + rng_types: list[str | RNGType] | None = None, + log_with: str | LoggerType | GeneralTracker | list[str | LoggerType | GeneralTracker] | None = None, + project_dir: str | os.PathLike | None = None, + project_config: ProjectConfiguration | None = None, + gradient_accumulation_plugin: GradientAccumulationPlugin | None = None, + step_scheduler_with_optimizer: bool = True, + kwargs_handlers: list[KwargsHandler] | None = None, + dynamo_backend: DynamoBackend | str | None = None, + dynamo_plugin: TorchDynamoPlugin | None = None, + deepspeed_plugins: DeepSpeedPlugin | dict[str, DeepSpeedPlugin] | None = None, + parallelism_config: ParallelismConfig | None = None, + ): + self.trackers = [] + if project_config is not None: + self.project_configuration = project_config + else: + self.project_configuration = ProjectConfiguration(project_dir=project_dir) + if project_dir is not None and self.project_dir is None: + self.project_configuration.set_directories(project_dir) + + if mixed_precision is not None: + mixed_precision = str(mixed_precision) + if mixed_precision not in PrecisionType: + raise ValueError( + f"Unknown mixed_precision mode: {mixed_precision}. Choose between {PrecisionType.list()}" + ) + if torch_tp_plugin is not None: + warnings.warn( + "`TorchTensorParallelPlugin` is deprecated and will be removed in a future version of Accelerate. " + "Please use the `ParallelismConfig` with `tp_size` instead.", + FutureWarning, + ) + + if dynamo_plugin is not None and dynamo_backend is not None: + raise ValueError("You cannot pass in both `dynamo_plugin` and `dynamo_backend`, please only pass in one.") + if dynamo_backend is not None: + dynamo_plugin = TorchDynamoPlugin(backend=dynamo_backend) + elif dynamo_plugin is None: + dynamo_plugin = TorchDynamoPlugin() + + if deepspeed_plugins is not None and deepspeed_plugin is not None: + raise ValueError("You cannot pass in both `deepspeed_plugins` and `deepspeed_plugin`.") + elif deepspeed_plugin is not None: + deepspeed_plugins = deepspeed_plugin + + if deepspeed_plugins is None: + # First check if we're creating another `Accelerator` w/o setting `deepspeed_plugin` + if ( + AcceleratorState._shared_state != {} + and AcceleratorState().distributed_type == DistributedType.DEEPSPEED + ): + deepspeed_plugins = AcceleratorState().deepspeed_plugins + else: + # init from env variables + deepspeed_plugins = ( + DeepSpeedPlugin() + if os.environ.get("ACCELERATE_USE_DEEPSPEED", "false").lower() == "true" + else None + ) + else: + # If we're creating a second `Accelerator`, users shouldn't be passing in a `deepspeed_plugin` + if ( + AcceleratorState._shared_state != {} + and AcceleratorState().distributed_type == DistributedType.DEEPSPEED + and AcceleratorState().deepspeed_plugins is not None + ): + raise NotImplementedError( + "You cannot pass in a `deepspeed_plugin` when creating a second `Accelerator`. " + "Please make sure the first `Accelerator` is initialized with all the plugins you want to use." + ) + if isinstance(deepspeed_plugins, dict): + for plugin in deepspeed_plugins.values(): + if not isinstance(plugin, DeepSpeedPlugin): + raise TypeError("`deepspeed_plugin` must be a DeepSpeedPlugin object.") + + if deepspeed_plugins is not None: + os.environ["ACCELERATE_USE_DEEPSPEED"] = "true" # use DeepSpeed if plugin is provided + if not is_deepspeed_available(): + raise ImportError("DeepSpeed is not installed => run `pip install deepspeed` or build it from source.") + if is_mlu_available(): + if compare_versions("deepspeed", "<", "0.15.2"): + raise ImportError("DeepSpeed MLU version must be >= 0.15.2. Please update DeepSpeed.") + elif is_musa_available(): + if compare_versions("deepspeed", "<", "0.14.3"): + raise ImportError("DeepSpeed MUSA version must be >= 0.14.3. Please update DeepSpeed.") + elif compare_versions("deepspeed", "<", "0.9.3"): + raise ImportError("DeepSpeed version must be >= 0.9.3. Please update DeepSpeed.") + + self.deepspeed_engine_wrapped = None + + if os.environ.get("ACCELERATE_USE_FSDP", "false").lower() == "true" or isinstance( + fsdp_plugin, FullyShardedDataParallelPlugin + ): + if not is_torch_version(">=", FSDP_PYTORCH_VERSION): + raise ValueError(f"FSDP requires PyTorch >= {FSDP_PYTORCH_VERSION}") + + if fsdp_plugin is None: # init from env variables + fsdp_plugin = ( + FullyShardedDataParallelPlugin() + if os.environ.get("ACCELERATE_USE_FSDP", "false").lower() == "true" + else None + ) + else: + if not isinstance(fsdp_plugin, FullyShardedDataParallelPlugin): + raise TypeError("`fsdp_plugin` must be a FullyShardedDataParallelPlugin object.") + os.environ["ACCELERATE_USE_FSDP"] = "true" # use FSDP if plugin is provided + + if fsdp_plugin is not None and fsdp_plugin.fsdp_version == 2: + if not is_torch_version(">=", FSDP2_PYTORCH_VERSION): + raise ImportError(f"FSDP2 requires PyTorch >= {FSDP2_PYTORCH_VERSION}") + + if megatron_lm_plugin is None: # init from env variables + megatron_lm_plugin = ( + MegatronLMPlugin() if os.environ.get("ACCELERATE_USE_MEGATRON_LM", "false").lower() == "true" else None + ) + else: + if not isinstance(megatron_lm_plugin, MegatronLMPlugin): + raise TypeError("`megatron_lm_plugin` must be a MegatronLMPlugin object.") + os.environ["ACCELERATE_USE_MEGATRON_LM"] = "true" # use MegatronLM if plugin is provided + + if megatron_lm_plugin: + if not is_megatron_lm_available(): + raise ImportError("Megatron is not installed. please build it from source.") + + # Kwargs handlers + self.ddp_handler = None + self.scaler_handler = None + self.init_handler = None + self.fp8_recipe_handler = None + self.ao_recipe_handler = None + self.te_recipe_handler = None + self.msamp_recipe_handler = None + self.autocast_handler = None + self.profile_handler = None + self.has_lomo_optimizer = False + + found_handlers = set() + handler_class_to_attr = { + DistributedDataParallelKwargs: "ddp_handler", + GradScalerKwargs: "scaler_handler", + InitProcessGroupKwargs: "init_handler", + FP8RecipeKwargs: "fp8_recipe_handler", + AutocastKwargs: "autocast_handler", + ProfileKwargs: "profile_handler", + AORecipeKwargs: "ao_recipe_handler", + TERecipeKwargs: "te_recipe_handler", + MSAMPRecipeKwargs: "msamp_recipe_handler", + } + self.has_fp8_handler = False + if kwargs_handlers is not None: + for handler in kwargs_handlers: + assert isinstance(handler, KwargsHandler), ( + f"Unsupported kwargs handler passed: {handler}, must be one that inherits `accelerate.utils.KwargsHandler`." + ) + # Add the handler class to the set of found handlers + if handler.__class__ in found_handlers: + raise ValueError(f"You can only pass one {handler.__class__} in `kwargs_handlers`.") + found_handlers.add(handler.__class__) + handler_attr = handler_class_to_attr[handler.__class__] + setattr(self, handler_attr, handler) + if "recipe_handler" in handler_attr and not self.has_fp8_handler: + self.has_fp8_handler = True + + if parallelism_config is None: + # TODO: Remove after deprecating tp_plugin + if torch_tp_plugin is not None: + parallelism_config = ParallelismConfig(tp_size=torch_tp_plugin.tp_size) + elif os.environ.get("ACCELERATE_USE_PARALLELISM_CONFIG", "false").lower() == "true": + parallelism_config = ParallelismConfig() + + kwargs = self.init_handler.to_kwargs() if self.init_handler is not None else {} + self.state = AcceleratorState( + mixed_precision=mixed_precision, + cpu=cpu, + dynamo_plugin=dynamo_plugin, + deepspeed_plugin=deepspeed_plugins, + fsdp_plugin=fsdp_plugin, + megatron_lm_plugin=megatron_lm_plugin, + parallelism_config=parallelism_config, + _from_accelerator=True, + **kwargs, + ) + + if self.parallelism_config: + self.state.device_mesh = parallelism_config.get_device_mesh(self.device.type) + self.parallelism_config._validate_accelerator(self) + + self.fp8_enabled = self.state.mixed_precision == "fp8" or mixed_precision == "fp8" + + # Check for automatic FP8 recipe creation + if self.fp8_enabled and not self.has_fp8_handler: + if self.fp8_backend == FP8BackendType.AO: + self.ao_recipe_handler = AORecipeKwargs() + elif self.fp8_backend == FP8BackendType.TE: + self.te_recipe_handler = TERecipeKwargs() + elif self.fp8_backend == FP8BackendType.MSAMP: + self.msamp_recipe_handler = MSAMPRecipeKwargs() + elif self.fp8_backend == FP8BackendType.NO: + # Prioritize AO -> TE -> MSAMP + if is_torchao_available(): + logger.info("Found `torchao` installed, using it for FP8 training.") + self.ao_recipe_handler = AORecipeKwargs() + elif is_transformer_engine_available(): + logger.info("Found `transformer-engine` installed, using it for FP8 training.") + self.te_recipe_handler = TERecipeKwargs() + elif is_msamp_available(): + logger.info("Found `msamp` installed, using it for FP8 training.") + self.msamp_recipe_handler = MSAMPRecipeKwargs() + else: + raise ImportError( + "Tried to train with `fp8` and auto-detect backend, but no FP8-compatible backend was installed. " + "Valid backends are: `torchao`, `transformer-engine`, and `msamp`." + ) + self.has_fp8_handler = True + + self.delayed_fp8_autocast = False + if self.has_fp8_handler: + # We already check if FP8 is available during `self.state` + if not self.fp8_enabled and ( + self.distributed_type not in (DistributedType.FSDP, DistributedType.DEEPSPEED) + ): + raise ValueError("Passing in an FP8 configuration requires setting `mixed_precision='fp8'`.") + self.delayed_fp8_autocast = self.fp8_backend == "TE" and self.distributed_type in ( + DistributedType.MULTI_GPU, + DistributedType.FSDP, + ) + + # TODO: S1ro - this is probably gonna be a problem with other fp8 backends too + if ( + self.fp8_backend == FP8BackendType.AO + and self.state.distributed_type == DistributedType.FSDP + and self.state.fsdp_plugin.cpu_ram_efficient_loading + ): + raise ValueError( + "torchao with FSDP2 and cpu_ram_efficient_loading is not supported, setting `cpu_ram_efficient_loading` to False will fix the issue and work as intended." + ) + + trackers = filter_trackers(log_with, self.logging_dir) + if len(trackers) < 1 and log_with is not None: + warnings.warn(f"`log_with={log_with}` was passed but no supported trackers are currently installed.") + self.log_with = trackers + + if ( + (mixed_precision != "bf16") + and getattr(self.state, "downcast_bfloat", False) + and (self.state.distributedType != DistributedType.XLA) + ): + raise ValueError("Can only use `downcast_bf16` when using `mixed_precision='bf16'` and on a TPU") + + if gradient_accumulation_plugin is not None: + if gradient_accumulation_steps != 1: + raise ValueError( + "You can only pass one of `gradient_accumulation_steps` and `gradient_accumulation_plugin`. Please only pass in the created `GradientAccumulationPlugin` object." + ) + else: + gradient_accumulation_steps = int( + parse_choice_from_env("ACCELERATE_GRADIENT_ACCUMULATION_STEPS", gradient_accumulation_steps) + ) + gradient_accumulation_plugin = GradientAccumulationPlugin(num_steps=gradient_accumulation_steps) + + # If using DeepSpeed, update gradient accumulation steps from the DeepSpeed plugin + self.gradient_state = GradientState( + gradient_accumulation_plugin=gradient_accumulation_plugin, + ) + + self.device_placement = device_placement + if dataloader_config is None: + dataloader_config = DataLoaderConfiguration() + self.dataloader_config = dataloader_config + self.step_scheduler_with_optimizer = step_scheduler_with_optimizer + + # Mixed precision attributes + self.scaler = None + self.native_amp = False + if ( + self.state.mixed_precision == "fp16" + and self.device.type != "cpu" + and self.distributed_type not in (DistributedType.DEEPSPEED, DistributedType.MEGATRON_LM) + ): + self.native_amp = True + supported_device = ("xpu", "cuda", "npu", "xla", "mlu", "musa", "hpu", "sdaa", "mps") + if self.device.type not in supported_device or is_torch_xla_available(check_is_tpu=True): + raise ValueError( + f"fp16 mixed precision requires a device in {supported_device} (not {self.device.type!r})." + ) + if self.device.type == "mps" and not is_torch_version(">=", "2.5.0"): + raise ValueError("fp16 mixed precision with MPS device requires a Pytorch >= 2.5.0") + kwargs = self.scaler_handler.to_kwargs() if self.scaler_handler is not None else {} + + # FSDP2 doesn't use ShardedGradScaler, don't want to modify `get_grad_scaler`, rather create a simple utility + if self.is_fsdp2: + self.scaler = get_fsdp2_grad_scaler(device=self.device.type, **kwargs) + else: + self.scaler = get_grad_scaler(self.distributed_type, **kwargs) + + elif self.state.mixed_precision == "bf16" and self.distributed_type not in ( + DistributedType.DEEPSPEED, + DistributedType.MEGATRON_LM, + ): + if self.device.type in ["cpu", "xpu", "hpu"]: + self.native_amp = True + else: + self.native_amp = is_bf16_available(True) + if not self.native_amp and not is_torch_xla_available(): + raise ValueError("bf16 mixed precision requires PyTorch >= 1.10 and a supported device.") + if self.native_amp and self.device.type == "mps" and not is_torch_version(">=", "2.6.0"): + raise ValueError("bf16 mixed precision with MPS device requires a Pytorch >= 2.6.0") + + # for DeepSpeed, self.state.mixed_precision is always "bf16", + # see https://github.com/huggingface/accelerate/blob/main/src/accelerate/state.py#L968 and + # https://github.com/huggingface/accelerate/blob/main/src/accelerate/utils/dataclasses.py#L1263. + elif self.fp8_enabled: + # We always enable `native_amp` for FP8 + self.native_amp = True + if self.fp8_backend == FP8BackendType.MSAMP: + if self.distributed_type == DistributedType.FSDP: + raise NotImplementedError( + "`accelerate` + `MS-AMP` + `FSDP` is not supported at this time. " + "Please consider using deepspeed, which is supported." + ) + elif self.distributed_type != DistributedType.DEEPSPEED: + # MS-AMP requires `GradScaler` even with bf16 autocast w/ single GPU or DDP: + self.scaler = get_grad_scaler(**kwargs) + + # Start of internal step tracking + self.step = 0 + + # Internal references to the training objects + self._optimizers = [] + self._models = [] + self._schedulers = [] + self._dataloaders = [] + self._custom_objects = [] + + # Hooks + self._load_model_state_pre_hook = OrderedDict() + self._save_model_state_pre_hook = OrderedDict() + + # RNG Types + self.rng_types = rng_types + if self.rng_types is None: + self.rng_types = ["generator"] + + # Set a flag tensor for early stopping and other breakpoints + self.flag_tensor = None + + check_os_kernel() + + @property + def deepspeed_plugin(self): + """ + Returns the currently active DeepSpeedPlugin. + + If using multiple plugins, the first one will be the active one by default. Manually call + `accelerator.state.select_deepspeed_plugin(key)` to activate a different plugin. + + If deepspeed is not enabled, this will return `None`. + """ + return self.state.deepspeed_plugin + + @property + def use_distributed(self): + """ + Whether the Accelerator is configured for distributed training + """ + return self.state.use_distributed + + @property + def multi_device(self): + return self.use_distributed and self.distributed_type in ( + DistributedType.MULTI_GPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_NPU, + DistributedType.MULTI_XPU, + DistributedType.MULTI_HPU, + ) + + @property + def distributed_type(self): + return self.state.distributed_type + + @property + def num_processes(self): + return self.state.num_processes + + @property + def process_index(self): + return self.state.process_index + + @property + def local_process_index(self): + return self.state.local_process_index + + @property + def device(self): + return self.state.device + + @property + def split_batches(self): + return self.dataloader_config.split_batches + + @property + def dispatch_batches(self): + return self.dataloader_config.dispatch_batches + + @property + def even_batches(self): + return self.dataloader_config.even_batches + + @even_batches.setter + def even_batches(self, value: bool): + self.dataloader_config.even_batches = value + + @property + def use_seedable_sampler(self): + return self.dataloader_config.use_seedable_sampler + + @property + def non_blocking(self): + return self.dataloader_config.non_blocking + + @property + def use_stateful_dataloader(self): + if hasattr(self.dataloader_config, "use_stateful_dataloader"): + return self.dataloader_config.use_stateful_dataloader + return False + + @property + def project_dir(self): + return self.project_configuration.project_dir + + @property + def logging_dir(self): + return self.project_configuration.logging_dir + + @property + def save_iteration(self): + return self.project_configuration.iteration + + @property + def is_main_process(self): + """True for one process only.""" + return self.state.is_main_process + + @property + def is_local_main_process(self): + """True for one process per server.""" + return self.state.is_local_main_process + + @property + def is_last_process(self): + return self.process_index == self.num_processes - 1 + + @property + def mixed_precision(self): + return self.state.mixed_precision + + @property + def is_fsdp2(self): + return self.state.is_fsdp2 + + @property + def is_composable_parallelism_enabled(self): + return self.is_fsdp2 + + @property + def parallelism_config(self) -> Union[ParallelismConfig, None]: + return self.state.parallelism_config + + @property + def torch_device_mesh(self): + return self.state.device_mesh + + @property + def should_save_model(self): + if (pc := self.parallelism_config) is None: + # shouldn't even happen + return self.state.is_local_main_process + _non_model_shard_dims = { + pc.dp_replicate_enabled: "dp_replicate", + pc.cp_enabled: "cp", + } + + # return all( + # self.torch_device_mesh[dim].get_local_rank() == 0 for key, dim in non_model_shard_dims.items() if key + # ) + # TODO: S1ro - this is a temporary solution until we figure out why `save_safe_file` is slow when not all processes + return True + + @property + def tensor_parallel_rank(self) -> int: + """ + Returns the local rank for tensor parallelism. If tensor parallelism is configured but not enabled, returns 0 + since all ranks are assumed to be the same. + """ + if self.parallelism_config: + if self.parallelism_config.tp_enabled: + return self.torch_device_mesh.get_local_rank("tp") + return 0 + raise RuntimeError("Tensor parallelism is not configured. Set `parallelism_config` first.") + + @property + def pipeline_parallel_rank(self) -> int: + """ + Pipeline parallelism is not supported yet. + """ + raise NotImplementedError("Pipeline parallelism is currently not supported in Accelerate.") + + @property + def context_parallel_rank(self) -> int: + """ + Context parallelism is not supported yet. + """ + raise NotImplementedError("Context parallelism is currently not supported in Accelerate.") + + @property + def data_parallel_rank(self) -> int: + """ + Returns the local rank for replicate-based data parallelism. If replicate-based data parallelism is configured + but not enabled, returns 0 since all ranks are assumed to be the same. + """ + if self.parallelism_config: + if self.parallelism_config.dp_replicate_enabled: + return self.torch_device_mesh.get_local_rank("dp_replicate") + return 0 + raise RuntimeError("Data parallelism is not configured. Set `parallelism_config` first.") + + @property + def data_parallel_shard_rank(self) -> int: + """ + Returns the local rank for shard-based data parallelism. If shard-based data parallelism is configured but not + enabled, returns 0 since all ranks are assumed to be the same. + """ + if self.parallelism_config: + if self.parallelism_config.dp_shard_enabled: + return self.torch_device_mesh.get_local_rank("dp_shard") + return 0 + raise RuntimeError("Shard-based data parallelism is not configured. Set `parallelism_config` first.") + + @contextmanager + def split_between_processes(self, inputs: list | tuple | dict | torch.Tensor, apply_padding: bool = False): + """ + Splits `input` between `self.num_processes` quickly and can be then used on that process. Useful when doing + distributed inference, such as with different prompts. + + Note that when using a `dict`, all keys need to have the same number of elements. + + Args: + inputs (`list`, `tuple`, `torch.Tensor`, or `dict` of `list`/`tuple`/`torch.Tensor`): + The input to split between processes. + apply_padding (`bool`, `optional`, defaults to `False`): + Whether to apply padding by repeating the last element of the input so that all processes have the same + number of elements. Useful when trying to perform actions such as `Accelerator.gather()` on the outputs + or passing in less inputs than there are processes. If so, just remember to drop the padded elements + afterwards. + + Example: + + ```python + # Assume there are two processes + from accelerate import Accelerator + + accelerator = Accelerator() + with accelerator.split_between_processes(["A", "B", "C"]) as inputs: + print(inputs) + # Process 0 + ["A", "B"] + # Process 1 + ["C"] + + with accelerator.split_between_processes(["A", "B", "C"], apply_padding=True) as inputs: + print(inputs) + # Process 0 + ["A", "B"] + # Process 1 + ["C", "C"] + ``` + """ + with PartialState().split_between_processes(inputs, apply_padding=apply_padding) as inputs: + yield inputs + + def on_main_process(self, function: Callable[..., Any] | None = None): + """ + A decorator that will run the decorated function on the main process only. Can also be called using the + `PartialState` class. + + Args: + function (`Callable`): The function to decorate. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + + + >>> @accelerator.on_main_process + ... def print_something(): + ... print("This will be printed by process 0 only.") + + + >>> print_something() + "This will be printed by process 0 only" + ``` + """ + # For times when the `Accelerator` object itself utilizes this decorator. + if function is None: + if "Accelerator." in self.__qualname__: + function = self + else: + raise ValueError( + "The `on_main_process` decorator must be called with a function on an instantiated `Accelerator` object." + ) + + def _inner(*args, **kwargs): + return PartialState().on_main_process(function)(*args, **kwargs) + + return _inner + + def on_local_main_process(self, function: Callable[..., Any] | None = None): + """ + A decorator that will run the decorated function on the local main process only. Can also be called using the + `PartialState` class. + + Args: + function (`Callable`): The function to decorate. + + Example: + ```python + # Assume we have 2 servers with 4 processes each. + from accelerate import Accelerator + + accelerator = Accelerator() + + + @accelerator.on_local_main_process + def print_something(): + print("This will be printed by process 0 only on each server.") + + + print_something() + # On server 1: + "This will be printed by process 0 only" + # On server 2: + "This will be printed by process 0 only" + ``` + """ + # For times when the `Accelerator` object itself utilizes this decorator. + if function is None: + if "Accelerator." in self.__qualname__: + function = self + else: + raise ValueError( + "The `on_local_main_process` decorator must be called with a function on an instantiated `Accelerator` object." + ) + + def _inner(*args, **kwargs): + return PartialState().on_local_main_process(function)(*args, **kwargs) + + return _inner + + def on_last_process(self, function: Callable[..., Any]): + """ + A decorator that will run the decorated function on the last process only. Can also be called using the + `PartialState` class. + + Args: + function (`Callable`): The function to decorate. + + Example: + ```python + # Assume we have 4 processes. + from accelerate import Accelerator + + accelerator = Accelerator() + + + @accelerator.on_last_process + def print_something(): + print(f"Printed on process {accelerator.process_index}") + + + print_something() + "Printed on process 3" + ``` + """ + # For times when the `Accelerator` object itself utilizes this decorator. + if function is None: + if "Accelerator." in self.__qualname__: + function = self + else: + raise ValueError( + "The `on_last_process` decorator must be called with a function on an instantiated `Accelerator` object." + ) + + def _inner(*args, **kwargs): + return PartialState().on_last_process(function)(*args, **kwargs) + + return _inner + + def on_process(self, function: Callable[..., Any] | None = None, process_index: int | None = None): + """ + A decorator that will run the decorated function on a given process index only. Can also be called using the + `PartialState` class. + + Args: + function (`Callable`, `optional`): + The function to decorate. + process_index (`int`, `optional`): + The index of the process on which to run the function. + + Example: + ```python + # Assume we have 4 processes. + from accelerate import Accelerator + + accelerator = Accelerator() + + + @accelerator.on_process(process_index=2) + def print_something(): + print(f"Printed on process {accelerator.process_index}") + + + print_something() + "Printed on process 2" + ``` + """ + # Initial construction of the decorator. + if (self is not None) and (process_index is not None) and (function is None): + return partial(self.on_process, process_index=process_index) + # For times when the `Accelerator` object itself utilizes this decorator. + if function is None: + if "Accelerator." in self.__qualname__: + function = self + else: + raise ValueError( + "The `on_main_process` decorator must be called with a function on an instantiated `Accelerator` object." + ) + + def _inner(*args, **kwargs): + return PartialState().on_process(function, process_index)(*args, **kwargs) + + return _inner + + def on_local_process(self, function: Callable[..., Any] | None = None, local_process_index: int | None = None): + """ + A decorator that will run the decorated function on a given local process index only. Can also be called using + the `PartialState` class. + + Args: + function (`Callable`, *optional*): + The function to decorate. + local_process_index (`int`, *optional*): + The index of the local process on which to run the function. + + Example: + ```python + # Assume we have 2 servers with 4 processes each. + from accelerate import Accelerator + + accelerator = Accelerator() + + + @accelerator.on_local_process(local_process_index=2) + def print_something(): + print(f"Printed on process {accelerator.local_process_index}") + + + print_something() + # On server 1: + "Printed on process 2" + # On server 2: + "Printed on process 2" + ``` + """ + # Initial construction of the decorator. + if (self is not None) and (local_process_index is not None) and (function is None): + return partial(self.on_local_process, local_process_index=local_process_index) + # For times when the `Accelerator` object itself utilizes this decorator. + if function is None: + if "Accelerator." in self.__qualname__: + function = self + else: + raise ValueError( + "The `on_main_process` decorator must be called with a function on an instantiated `Accelerator` object." + ) + + def _inner(*args, **kwargs): + return PartialState().on_local_process(function, local_process_index)(*args, **kwargs) + + return _inner + + @contextmanager + def main_process_first(self): + """ + Lets the main process go first inside a with block. + + The other processes will enter the with block after the main process exits. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> with accelerator.main_process_first(): + ... # This will be printed first by process 0 then in a seemingly + ... # random order by the other processes. + ... print(f"This will be printed by process {accelerator.process_index}") + ``` + """ + with self.state.main_process_first(): + yield + + @contextmanager + def local_main_process_first(self): + """ + Lets the local main process go inside a with block. + + The other processes will enter the with block after the main process exits. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> with accelerator.local_main_process_first(): + ... # This will be printed first by local process 0 then in a seemingly + ... # random order by the other processes. + ... print(f"This will be printed by process {accelerator.local_process_index}") + ``` + """ + with self.state.local_main_process_first(): + yield + + @contextmanager + def no_sync(self, model): + """ + A context manager to disable gradient synchronizations across DDP processes by calling + `torch.nn.parallel.DistributedDataParallel.no_sync`. + + If `model` is not in DDP, this context manager does nothing + + Args: + model (`torch.nn.Module`): + PyTorch Module that was prepared with `Accelerator.prepare` + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> dataloader, model, optimizer = accelerator.prepare(dataloader, model, optimizer) + >>> input_a = next(iter(dataloader)) + >>> input_b = next(iter(dataloader)) + + >>> with accelerator.no_sync(): + ... outputs = model(input_a) + ... loss = loss_func(outputs) + ... accelerator.backward(loss) + ... # No synchronization across processes, only accumulate gradients + >>> outputs = model(input_b) + >>> accelerator.backward(loss) + >>> # Synchronization across all processes + >>> optimizer.step() + >>> optimizer.zero_grad() + ``` + """ + if self.is_fsdp2: + model.set_requires_gradient_sync(False) + try: + yield + finally: + model.set_requires_gradient_sync(True) + else: + context = contextlib.nullcontext + if self.use_distributed: + if self.distributed_type != DistributedType.DEEPSPEED or self.state.deepspeed_plugin.zero_stage < 2: + context = getattr(model, "no_sync", context) + + with context(): + yield + + @staticmethod + @contextmanager + def trigger_sync_in_backward(model): + """Trigger the sync of the gradients in the next backward pass of the model after multiple forward passes under + `Accelerator.no_sync` (only applicable in multi-GPU scenarios). + + If the script is not launched in distributed mode, this context manager does nothing. + + Args: + model (`torch.nn.Module`): + The model for which to trigger the gradient synchronization. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> dataloader, model, optimizer = accelerator.prepare(dataloader, model, optimizer) + + >>> with accelerator.no_sync(): + ... loss_a = loss_func(model(input_a)) # first forward pass + ... loss_b = loss_func(model(input_b)) # second forward pass + >>> accelerator.backward(loss_a) # No synchronization across processes, only accumulate gradients + >>> with accelerator.trigger_sync_in_backward(model): + ... accelerator.backward(loss_b) # Synchronization across all processes + >>> optimizer.step() + >>> optimizer.zero_grad() + ``` + """ + if not isinstance(model, torch.nn.parallel.DistributedDataParallel): + yield + return + + old_require_backward_grad_sync = model.require_backward_grad_sync + old_require_forward_param_sync = model.require_forward_param_sync + + # EXPERIMENTAL: This will force grad sync during `backward()`, but it is unknown if it breaks other DDP features. + # https://github.com/pytorch/pytorch/blob/e1502c0cdbfd17548c612f25d5a65b1e4b86224d/torch/nn/parallel/distributed.py#L1453-L1466 + model.require_backward_grad_sync = True + model.require_forward_param_sync = True + # https://github.com/pytorch/pytorch/blob/e1502c0cdbfd17548c612f25d5a65b1e4b86224d/torch/csrc/distributed/c10d/reducer.cpp#L1371-L1402 + model.reducer.prepare_for_backward([]) + try: + yield + finally: + model.require_backward_grad_sync = old_require_backward_grad_sync + model.require_forward_param_sync = old_require_forward_param_sync + + def _do_sync(self): + "Sets the right `sync_gradients` context and either resets or increases `self.step`" + if self.gradient_state.sync_with_dataloader and self.gradient_state.end_of_dataloader: + self.step = 0 + self.gradient_state._set_sync_gradients(True) + else: + self.step += 1 + self.gradient_state._set_sync_gradients((self.step % self.gradient_state.num_steps) == 0) + + @property + def sync_gradients(self): + return self.gradient_state.sync_gradients + + @sync_gradients.setter + def sync_gradients(self, sync_gradients): + self.gradient_state.sync_gradients = sync_gradients + + @property + def gradient_accumulation_steps(self): + return self.gradient_state.num_steps + + @gradient_accumulation_steps.setter + def gradient_accumulation_steps(self, gradient_accumulation_steps): + self.gradient_state.plugin_kwargs.update({"num_steps": gradient_accumulation_steps}) + + @contextmanager + def accumulate(self, *models): + """ + A context manager that will lightly wrap around and perform gradient accumulation automatically + + Args: + *models (list of `torch.nn.Module`): + PyTorch Modules that were prepared with `Accelerator.prepare`. Models passed to `accumulate()` will + skip gradient syncing during backward pass in distributed training + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator(gradient_accumulation_steps=1) + >>> dataloader, model, optimizer, scheduler = accelerator.prepare(dataloader, model, optimizer, scheduler) + + >>> for input, output in dataloader: + ... with accelerator.accumulate(model): + ... outputs = model(input) + ... loss = loss_func(outputs) + ... loss.backward() + ... optimizer.step() + ... scheduler.step() + ... optimizer.zero_grad() + ``` + """ + self._do_sync() + + allow_gradient_sync = ( + self.sync_gradients # must sync if sync gradients need to complete an optimizer step + or ( + # the no_sync context stops the gradients from reducing during distributed training + # bringing speedup (potentially at some costs). Here, no_sync can be prevented + # by setting sync_each_batch = True. + self.use_distributed # only relevant in distributed settings + and self.gradient_state.plugin_kwargs.get("sync_each_batch", False) + ) + ) + with contextlib.ExitStack() as cm_stack: + for m in models: + cm_stack.enter_context(contextlib.nullcontext() if allow_gradient_sync else self.no_sync(m)) + yield + + @contextmanager + def join_uneven_inputs(self, joinables, even_batches=None): + """ + A context manager that facilitates distributed training or evaluation on uneven inputs, which acts as a wrapper + around `torch.distributed.algorithms.join`. This is useful when the total batch size does not evenly divide the + length of the dataset. + + Args: + joinables (`list[torch.distributed.algorithms.Joinable]`): + A list of models or optimizers that subclass `torch.distributed.algorithms.Joinable`. Most commonly, a + PyTorch Module that was prepared with `Accelerator.prepare` for DistributedDataParallel training. + even_batches (`bool`, *optional*) + If set, this will override the value of `even_batches` set in the `Accelerator`. If it is not provided, + the default `Accelerator` value wil be used. + + + + `join_uneven_inputs` is only supported for Distributed Data Parallel training on multiple GPUs. For any other + configuration, this method will have no effect. + + + + + + Overriding `even_batches` will not affect iterable-style data loaders. + + + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator(even_batches=True) + >>> ddp_model, optimizer, dataloader = accelerator.prepare(model, optimizer, dataloader) + + >>> with accelerator.join_uneven_inputs([ddp_model], even_batches=False): + ... for input, output in dataloader: + ... outputs = model(input) + ... loss = loss_func(outputs) + ... loss.backward() + ... optimizer.step() + ... optimizer.zero_grad() + ``` + """ + if self.multi_device: + dl_even_batches_values = [] + + if even_batches is not None: + iterable_dl_seen = False + # override value in batch sampler for map-style datasets + for dl_idx, dl in enumerate(self._dataloaders): + if isinstance(dl, DataLoaderDispatcher): + iterable_dl_seen = True + continue + dl_even_batches_values.append((dl_idx, dl.batch_sampler.even_batches)) + dl.batch_sampler.even_batches = even_batches + + if iterable_dl_seen: + warnings.warn( + "Overriding even_batches is only supported for map-style datasets, yet some dataloaders given were iterable" + ) + else: + even_batches = self.even_batches + + enable_join = False if even_batches else True + try: + with Join(joinables, enable=enable_join, throw_on_early_termination=False): + yield + finally: + # reset any batch samplers that have been modified + for dl_idx, even_batches_value in dl_even_batches_values: + self._dataloaders[dl_idx].batch_sampler.even_batches = even_batches_value + else: + # Even when disabled, Join expects models to subclass Joinable, so skip entirely for single process runs + if self.distributed_type != DistributedType.NO: + warnings.warn( + "Joining uneven inputs is only supported for multi-GPU training, as a result `join_uneven_inputs` will have no effect." + ) + + with contextlib.nullcontext(joinables): + yield + + def print(self, *args, **kwargs): + """ + Drop in replacement of `print()` to only print once per server. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> accelerator.print("Hello world!") + ``` + """ + self.state.print(*args, **kwargs) + + def _prepare_one(self, obj, first_pass=False, device_placement=None): + # First pass of preparation: DataLoader, model, optimizer + if first_pass: + if isinstance(obj, torch.utils.data.DataLoader): + return self.prepare_data_loader(obj, device_placement=device_placement) + elif isinstance(obj, torch.nn.Module): + return self.prepare_model(obj, device_placement=device_placement) + elif isinstance(obj, torch.optim.Optimizer): + optimizer = self.prepare_optimizer(obj, device_placement=device_placement) + return optimizer + # Second pass of preparation: LR scheduler (which need the full list of optimizers) + elif isinstance(obj, LRScheduler): + scheduler = self.prepare_scheduler(obj) + return scheduler + # Return the unprocessed object if previous criteria was not met + return obj + + def prepare(self, *args, device_placement=None): + """ + Prepare all objects passed in `args` for distributed training and mixed precision, then return them in the same + order. + + Args: + *args (list of objects): + Any of the following type of objects: + + - `torch.utils.data.DataLoader`: PyTorch Dataloader + - `torch.nn.Module`: PyTorch Module + - `torch.optim.Optimizer`: PyTorch Optimizer + - `torch.optim.lr_scheduler.LRScheduler`: PyTorch LR Scheduler + + device_placement (`list[bool]`, *optional*): + Used to customize whether automatic device placement should be performed for each object passed. Needs + to be a list of the same length as `args`. Not compatible with DeepSpeed or FSDP. + + + + You don't need to prepare a model if you only use it for inference without any kind of mixed precision + + + + Examples: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> # Assume a model, optimizer, data_loader and scheduler are defined + >>> model, optimizer, data_loader, scheduler = accelerator.prepare(model, optimizer, data_loader, scheduler) + ``` + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> # Assume a model, optimizer, data_loader and scheduler are defined + >>> device_placement = [True, True, False, False] + >>> # Will place the first two items passed in automatically to the right device but not the last two. + >>> model, optimizer, data_loader, scheduler = accelerator.prepare( + ... model, optimizer, data_loader, scheduler, device_placement=device_placement + ... ) + ``` + """ + if device_placement is None: + device_placement = [None for _ in args] + elif self.distributed_type in (DistributedType.DEEPSPEED, DistributedType.MEGATRON_LM): + raise ValueError("You can't customize device placements with DeepSpeed or Megatron-LM.") + elif len(device_placement) != len(args): + raise ValueError( + f"`device_placement` should be a list with {len(args)} elements (the number of objects passed)." + ) + + for obj in args: + # TODO: Look at enabling native TP training directly with a proper config + if ( + isinstance(obj, torch.nn.Module) + and self.verify_device_map(obj) + and self.distributed_type != DistributedType.NO + and os.environ.get("ACCELERATE_BYPASS_DEVICE_MAP", "false") != "true" + ): + raise ValueError( + "You can't train a model that has been loaded with `device_map='auto'` in any distributed mode." + " Please rerun your script specifying `--num_processes=1` or by launching with `python {{myscript.py}}`." + ) + + if self.distributed_type == DistributedType.DEEPSPEED: + model_count = 0 + for obj in args: + if isinstance(obj, torch.nn.Module): + model_count += 1 + if model_count > 1: + raise AssertionError( + "You can't use same `Accelerator()` instance with multiple models when using DeepSpeed" + ) + + # On TPUs, putting the model on the XLA device will create new parameters, so the corresponding optimizer will + # have parameters disconnected from the model (so no training :-( ). + # If the model and optimizer have parameters on different devices we raise an error. + if self.distributed_type == DistributedType.XLA: + model_device, optimizer_device = self._get_devices() + if model_device is not None and optimizer_device is not None and model_device != optimizer_device: + raise ValueError( + "The model and the optimizer parameters are not on the same device, which probably means you " + "created an optimizer around your model **before** putting on the device. Make sure the line " + "model.to(device) is before the optimizer creation in your script or remove it entirely and use " + "the flag default value for `device_placement` in your `Accelerator` to let it handle that " + "part for you." + ) + + if self.is_fsdp2: + model_count = 0 + optimizer_count = 0 + for i, obj in enumerate(args): + if isinstance(obj, torch.nn.Module): + model_count += 1 + elif isinstance(obj, torch.optim.Optimizer): + optimizer_count += 1 + + # This needs to be written as such, so that passing other objects other than models/optimizers doesn't raise an error + if (model_count < 1 and optimizer_count > 0) or (model_count > 0 and optimizer_count < 1): + raise ValueError( + "When using FSDP2, a model and optimizer must be passed together to `Accelerator.prepare()`" + " as the optimizer needs to have its parameters modified after the model is converted." + ) + if model_count > 1: + raise ValueError("Only one model is supported when using FSDP2") + + # If we're dealing with device placement, this deals with that by... + tpu_should_fix_optimizer = self.device_placement and self.distributed_type == DistributedType.XLA + + if tpu_should_fix_optimizer: + # 1. grabbing old model parameters + old_named_params = self._get_named_parameters(*args, drop_refs=False) + + if self.distributed_type in [DistributedType.MULTI_CPU, DistributedType.MULTI_XPU, DistributedType.NO]: + if ( + is_torch_version("<", "2.7.0") + and (self.device.type == "cpu" or self.device.type == "xpu") + and self.state.use_ipex + ): + logger.warning( + "You are using lower version of PyTorch(< 2.7.0) with ipex acceleration on Intel CPU or XPU, Intel has upstreamed most of the optimizations into stock PyTorch from 2.7.0, we encourage you to install the latest stock PyTorch and enjoy the out-of-experience on Intel CPU/XPU." + ) + args = self._prepare_ipex(*args) + if self.parallelism_config and self.parallelism_config.tp_enabled: + args = self._prepare_tp(*args) + + if self.parallelism_config and self.parallelism_config.cp_enabled: + args = self._prepare_cp(*args) + + if self.fp8_backend == FP8BackendType.TE: + args = self._prepare_te(*args) + elif self.fp8_backend == FP8BackendType.AO: + args = self._prepare_ao(*args) + if self.distributed_type == DistributedType.DEEPSPEED: + result = self._prepare_deepspeed(*args) + elif self.distributed_type == DistributedType.MEGATRON_LM: + result = self._prepare_megatron_lm(*args) + elif self.is_fsdp2: + result = self._prepare_fsdp2(*args) + else: + if self.fp8_backend == FP8BackendType.MSAMP: + args, device_placement = self._prepare_msamp(*args, device_placement=device_placement) + result = tuple( + self._prepare_one(obj, first_pass=True, device_placement=d) for obj, d in zip(args, device_placement) + ) + result = tuple(self._prepare_one(obj, device_placement=d) for obj, d in zip(result, device_placement)) + if tpu_should_fix_optimizer: + # 2. grabbing new model parameters + new_named_params = self._get_named_parameters(*result) + # 3. building a map from the first to the second + mapping = {p: new_named_params[n] for n, p in old_named_params.items()} + # 4. using that map to update the parameters of the optimizer + for obj in result: + if isinstance(obj, torch.optim.Optimizer): + obj._switch_parameters(mapping) + + for item in result: + if any( + item in container + for container in (self._dataloaders, self._models, self._optimizers, self._schedulers) + ): + item._is_accelerate_prepared = True + + return result if len(result) > 1 else result[0] + + def _prepare_tp(self, *args): + # First pass: prepare everything except schedulers (and model, which is prepared separately below) + result = [ + self._prepare_one(obj, first_pass=True) if not isinstance(obj, torch.nn.Module) else obj for obj in args + ] + + # Second pass: prepare schedulers + result = [self._prepare_one(obj) if not isinstance(obj, torch.nn.Module) else obj for obj in result] + + device_mesh = self.torch_device_mesh + + old_named_params = fsdp2_canonicalize_names(self._get_named_parameters(*tuple(result), drop_refs=True)) + + for arg in result: + if not isinstance(arg, torch.nn.Module): + continue + + from torch.distributed.tensor import DTensor, Replicate + from transformers.integrations.tensor_parallel import ReplicateParallel + + model: torch.nn.Module = arg + tp_plan = ReplicateParallel + + for name, param in model.named_parameters(): + if isinstance(param, DTensor): + continue + + dp = DTensor.from_local(param, device_mesh=device_mesh["tp"], placements=[Replicate()]) + param_name, param_type = name.rsplit(".", 1) + module_to_tp = model.get_submodule(param_name) + + tp_plan().prepare_module_tp(module_to_tp, device_mesh["tp"]) + if not isinstance(dp, torch.nn.Parameter): + dp = torch.nn.Parameter(dp, requires_grad=param.requires_grad) + setattr(module_to_tp, param_type, dp) + + new_named_params = fsdp2_canonicalize_names(self._get_named_parameters(*tuple(result), drop_refs=False)) + # Build a map from old to new params + mapping = {p: new_named_params[n] for n, p in old_named_params.items()} + + def _get_tensor_address(p): + if isinstance(p, DTensor): + return p._local_tensor.data_ptr() + return p.data_ptr() + + for obj in result: + if isinstance(obj, torch.optim.Optimizer): + for param_group in obj.param_groups: + # Each param_group originally maps to model parameters (e.g., from model.parameters()). + # After _prepare_tp(), parameter references are replaced with DTensor instances. + # Therefore, we remap the parameter references to their new DTensor addresses + # so that the optimizer can correctly update the model parameters. + param_group["params"] = [mapping[_get_tensor_address(p)] for p in param_group["params"]] + + return args + + def _prepare_cp(self, *args): + if self.parallelism_config.sp_backend == "deepspeed": + # deepspeed handles cp in a different way, configured in _prepare_deepspeed + return args + + from torch.distributed.tensor.experimental import context_parallel + from torch.distributed.tensor.experimental._attention import set_rotate_method + + cp_comm_strategy = self.parallelism_config.cp_handler.cp_comm_strategy + set_rotate_method(cp_comm_strategy) + + self._cp_context = functools.partial(context_parallel, mesh=self.torch_device_mesh["cp"]) + + for arg in args: + if isinstance(arg, torch.nn.Module): + _attach_context_parallel_hooks(arg) + + return args + + def _prepare_fsdp2(self, *args): + # First pass: prepare everything except schedulers (and model, which is prepared separately below) + result = [ + self._prepare_one(obj, first_pass=True) if not isinstance(obj, torch.nn.Module) else obj for obj in args + ] + + # Second pass: prepare schedulers + result = [self._prepare_one(obj) if not isinstance(obj, torch.nn.Module) else obj for obj in result] + + # Prepare the model + model_index, model = None, None + for i, obj in enumerate(result): + if isinstance(obj, torch.nn.Module): + model_index, model = i, obj + + # Invariant: if we have a model, we also have an optimizer (checked in `prepare`) + if model_index is None: + return tuple(result) + + # Needs to be done first, to make sure AC + fully_shard will work as expected + self.state.fsdp_plugin.set_auto_wrap_policy(model) + + # Apply AC if needed + if self.state.fsdp_plugin.activation_checkpointing: + model = fsdp2_apply_ac(self, model) + + # Apply compile if needed, has to be *after* applying AC + # Copied from: `accelerator.prepare_model` ~ L1804 + if self.state.dynamo_plugin.backend != DynamoBackend.NO and not is_compiled_module(model): + if self.state.dynamo_plugin.use_regional_compilation: + model = compile_regions(model, **self.state.dynamo_plugin.to_kwargs()) + else: + model = torch.compile(model, **self.state.dynamo_plugin.to_kwargs()) + + # Get old params and canonicalize - we canonicalize to have the mapping easy + old_named_params = fsdp2_canonicalize_names(self._get_named_parameters(*tuple(result), drop_refs=True)) + + # Swap the optimizer parameters with empty, so `fully_shard` after will not allocate too much memory + from torch.distributed.tensor import DTensor + + for obj in result: + if isinstance(obj, torch.optim.Optimizer): + for param_group in obj.param_groups: + for i, p in enumerate(param_group["params"]): + # We drop a reference to the original param here, so that _move_states_to_device triggers a reallocation + # We reassign the data_ptr to the original param, so that we preserve the mapping to the new ones + param_group["params"][i] = torch.empty(1, dtype=p.dtype, device=p.device) + param_group["params"][i].data_ptr = ( + p._local_tensor.data_ptr() if isinstance(p, DTensor) else p.data_ptr() + ) + + self._models.append(model) + + # Prepare everything FSDP2 related for the model (except AC) + model = fsdp2_prepare_model(self, model) + + # Remove the old model from the list + if len(self._models) > 1 and (self._models[-2] is self._models[-1]): + del self._models[-2] + + # Replace the old model with the new one (shouldn't be needed as everything should be in place) + result[model_index] = model + + # Get new params and canonicalize + new_named_params = fsdp2_canonicalize_names(self._get_named_parameters(*result)) + # Build a map from old to new params + mapping = {p: new_named_params[n] for n, p in old_named_params.items()} + # Update the optimizer parameters + for obj in result: + if isinstance(obj, torch.optim.Optimizer): + fsdp2_switch_optimizer_parameters(obj, mapping) + + return result + + def prepare_model( + self, model: torch.nn.Module, device_placement: bool | None = None, evaluation_mode: bool = False + ): + """ + Prepares a PyTorch model for training in any distributed setup. It is recommended to use + [`Accelerator.prepare`] instead. + + Args: + model (`torch.nn.Module`): + A PyTorch model to prepare. You don't need to prepare a model if it is used only for inference without + any kind of mixed precision + device_placement (`bool`, *optional*): + Whether or not to place the model on the proper device. Will default to `self.device_placement`. + evaluation_mode (`bool`, *optional*, defaults to `False`): + Whether or not to set the model for evaluation only, by just applying mixed precision and + `torch.compile` (if configured in the `Accelerator` object). + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> # Assume a model is defined + >>> model = accelerator.prepare_model(model) + ``` + """ + if device_placement is None: + device_placement = self.device_placement and self.distributed_type != DistributedType.FSDP + + self._models.append(model) + + # TODO: Look at enabling native TP training directly with a proper config + if ( + self.verify_device_map(model) + and self.distributed_type != DistributedType.NO + and os.environ.get("ACCELERATE_BYPASS_DEVICE_MAP", "false") != "true" + ): + raise ValueError( + "You can't train a model that has been loaded with `device_map='auto'` in any distributed mode." + " Please rerun your script specifying `--num_processes=1` or by launching with `python {{myscript.py}}`." + ) + + if self.native_amp: + model._original_forward = model.forward + autocast_context = get_mixed_precision_context_manager(self.native_amp, self.autocast_handler) + # NOTE: MS-AMP adds `__func__` already to `model.forward`, so we should always use `model.forward` + if self.fp8_backend == FP8BackendType.MSAMP or not hasattr(model.forward, "__func__"): + model_forward_func = model.forward + model.forward = convert_outputs_to_fp32(autocast_context(model_forward_func)) + else: + model_forward_func = model.forward.__func__ + new_forward = autocast_context(model_forward_func) + model.forward = MethodType(new_forward, model) + model.forward = MethodType(convert_outputs_to_fp32(model.forward.__func__), model) + + # We prepare TE after, allowing for bf16 autocast to happen first + if self.fp8_backend == FP8BackendType.TE and not self.delayed_fp8_autocast: + model = apply_fp8_autowrap(model, self.te_recipe_handler or self.fp8_recipe_handler) + + if (getattr(model, "is_loaded_in_8bit", False) or getattr(model, "is_loaded_in_4bit", False)) and getattr( + model, "hf_device_map", False + ): + model_devices = set(model.hf_device_map.values()) + if len(model_devices) > 1 and self.distributed_type != DistributedType.NO: + raise ValueError( + "You can't train a model that has been loaded in 8-bit or 4-bit precision on multiple devices in any distributed mode." + " In order to use 8-bit or 4-bit models that have been loaded across multiple GPUs the solution is to use Naive Pipeline Parallelism." + " Therefore you should not specify that you are under any distributed regime in your accelerate config." + ) + elif len(model_devices) == 1: + current_device = list(model_devices)[0] + if isinstance(current_device, torch.device): + current_device_index = current_device.index + elif isinstance(current_device, str): + current_device_index = torch.device(current_device).index + else: + current_device_index = current_device + + if self.device.type == "cpu" and is_bitsandbytes_multi_backend_available(): + # bnb with multi-backend supports CPU which don't need to check index. + pass + elif torch.device(current_device_index) != self.device: + # if on the first device (GPU 0) we don't care + if (self.device.index is not None) or (current_device_index != 0): + raise ValueError( + "You can't train a model that has been loaded in 8-bit or 4-bit precision on a different device than the one " + "you're training on. Make sure you loaded the model on the correct device using for example `device_map={'':torch.cuda.current_device()}` or `device_map={'':torch.xpu.current_device()}`" + ) + if ( + ("cpu" in model_devices and not is_bitsandbytes_multi_backend_available()) + or ("cpu" in model_devices and is_xpu_available()) + or "disk" in model_devices + ): + raise ValueError( + "You can't train a model that has been loaded in 8-bit or 4-bit precision with CPU or disk offload. " + "If you want train the 8-bit or 4-bit model in CPU, please install bitsandbytes with multi-backend, see https://huggingface.co/docs/bitsandbytes/main/en/installation#multi-backend" + ) + elif device_placement and not self.verify_device_map(model): + model = model.to(self.device) + if not evaluation_mode: + if self.multi_device and not (self.parallelism_config and self.parallelism_config.tp_enabled): + if model_has_dtensor(model): + raise ValueError( + "Your model contains `DTensor` parameters, which is incompatible with DDP. Maybe you loaded your model with `device_map='auto'`? Specify `device_map='cuda'` or 'cpu' instead." + ) + if any(p.requires_grad for p in model.parameters()): + kwargs = self.ddp_handler.to_kwargs() if self.ddp_handler is not None else {} + # TODO: Look at enabling native TP training directly with a proper config + if os.environ.get("ACCELERATE_BYPASS_DEVICE_MAP", "false") != "true": + if self.device.type == "hpu": + device_ids, output_device = [self.device.index], self.device.index + else: + device_ids, output_device = [self.local_process_index], self.local_process_index + else: + device_ids, output_device = None, None + model = torch.nn.parallel.DistributedDataParallel( + model, device_ids=device_ids, output_device=output_device, **kwargs + ) + if self.ddp_handler is not None: + self.ddp_handler.register_comm_hook(model) + elif self.parallelism_config and self.parallelism_config.tp_enabled: + if not hasattr(model, "tp_size"): + raise NotImplementedError( + "Model should undergo tensor parallel before passing it to accelerate." + "You can use .from_pretrained(..., tp_plan='auto') if the model supports" + ) + if model.tp_size != self.parallelism_config.tp_size: + raise ValueError( + f"tp_size in the plugin {self.parallelism_config.tp_size} should be same as model's tp size {model.tp_size}" + ) + elif self.is_fsdp2: + raise ValueError( + "FSDP2 preparation should be done via `accelerate.prepare()`, as it requires a model and an optimizer." + ) + + elif self.distributed_type == DistributedType.FSDP: + # We need to fix the optimizer *before* sharding the model + from torch.distributed.fsdp.fully_sharded_data_parallel import FullyShardedDataParallel as FSDP + + # Check if the model is already a FSDP model due to `Manual Wrapping` and if so, + # don't wrap it again + # In case the model is already compiled using PyTorch 2.0 and the wrapped model in it + # is a FSDP model, don't wrap it again + is_type_fsdp = isinstance(model, FSDP) or ( + is_compiled_module(model) and isinstance(model._orig_mod, FSDP) + ) + + if not is_type_fsdp: + self.state.fsdp_plugin.set_auto_wrap_policy(model) + fsdp_plugin = self.state.fsdp_plugin + + # need to ensure that params are re-tied after running + # param_init_fn + fsdp_plugin.param_init_fn = ensure_weights_retied( + fsdp_plugin.param_init_fn, + model, + self.device, + ) + + kwargs = { + # We fallback to reshard_after_forward if sharding_strategy is not set. + # We prerfer sharding_strategy to not break the behavior of the existing code. + # Deprecation warning has already been issued in `utils.dataclasses.py` + "sharding_strategy": fsdp_plugin.sharding_strategy or fsdp_plugin.reshard_after_forward, + "cpu_offload": fsdp_plugin.cpu_offload, + "auto_wrap_policy": fsdp_plugin.auto_wrap_policy, + "mixed_precision": fsdp_plugin.mixed_precision_policy, + "sync_module_states": fsdp_plugin.sync_module_states, + "backward_prefetch": fsdp_plugin.backward_prefetch, + "forward_prefetch": fsdp_plugin.forward_prefetch, + "use_orig_params": fsdp_plugin.use_orig_params, + "param_init_fn": fsdp_plugin.param_init_fn, + "ignored_modules": fsdp_plugin.ignored_modules, + "limit_all_gathers": fsdp_plugin.limit_all_gathers, + "device_id": self.device, + } + + if isinstance(kwargs["ignored_modules"], str): + reg = re.compile(kwargs["ignored_modules"]) + ignored = [] + for name, module in model.named_modules(): + if reg.fullmatch(name): + # ensure that the device for these modules is still set correctly + module.to(self.device) + ignored.append(module) + kwargs["ignored_modules"] = ignored + + model = FSDP(model, **kwargs) + if fsdp_plugin.activation_checkpointing: + from torch.distributed.algorithms._checkpoint.checkpoint_wrapper import ( + CheckpointImpl, + apply_activation_checkpointing, + checkpoint_wrapper, + ) + + apply_activation_checkpointing( + model, + checkpoint_wrapper_fn=functools.partial( + checkpoint_wrapper, + checkpoint_impl=CheckpointImpl.NO_REENTRANT, + ), + auto_wrap_policy=fsdp_plugin.auto_wrap_policy, + ) + + # In the event the model had been loaded in low precision, but + # mixed precision had also been activated, then we follow DeepSpeed's + # strategy to hold the parameters in full precision. + # - assume that trainer.args.bf16 and trainer.args.fp16 are already checked against + # fsdp_plugin.mixed_precision_policy. + # - NOTE: we do not check the mixed_precision attribute on the FSDP root wrapper. + # * this attribute will always set by init_utils.init_core_state so its always not None. + # * mixed_precision.param_dtype only regards _fwd_bwd_param_dtype + # * if model is loaded in 16bit, and even if mixed_precision.param_dtype is None, + # we still want to upcast the flat_param. + if self.mixed_precision != "no": # if mixed precision is set + upcasted_log = [] + for module in FSDP.fsdp_modules(model): + # Referencing DeepSpeed Zero3 + # - in Init, params are converted to 16bit while partitioning. + # - in accelerator.prepare, deepspeed.initialize is called to: + # * creates the DeepSpeedEngine. + # * since zero_optimization() is True , calls engine._configure_zero_optimizer. + # + # Inside the DeepSpeed Zero3 optimizer configuration, which initializes + # DeepSpeedZeroOptimizer_Stage3, during which: + # * trainable_param_groups are obtained from the attached optimizer + # (already partitioned in 16bit). + # * then _setup_for_real_optimizer -> _create_fp32_partitions + # which performs the fp32 upcasting. + + # To mimic DeepSeepds's casting in FSDP, we look at the (single) FlatParameter held + # within an FSDP wrapper. This FlatParameter will be seen by the optimizer. + # - even though there is a torch.device('meta') guard below, we + # expect _init_utils._init_param_handle_from_module to already + # sync the parameter. + + if not module._has_params: + continue # skip if FSDP module not managing parameters + param = module._flat_param + if ( + param.dtype != torch.float32 + and param.device != torch.device("meta") + and param.requires_grad + ): + # keep log of names_params that was upcasted + # NOTE: resorted to this because warnings.simplefilter("once") is somehow not working + name_param_log = (module.module.__class__.__name__, ", ".join(module._flat_param._fqns)) + if name_param_log not in upcasted_log: + upcasted_log.append(name_param_log) + + # this works because of FSDP's _runtime_utils.lazy_init. + # Have to be careful not to call anything before this that + # triggers lazy_init (e.g., _is_fsdp_root). + param.data = param.data.to(torch.float32) # upcasting + module._handle._orig_param_dtype = torch.float32 # update + + # report the warnings + # some messages can be quite repetitive, especially when reporting about layers that have identical architecture. + if self.is_main_process: + for name_log, param_log in upcasted_log: + warnings.warn( + f"Upcasted low precision parameters in {name_log} because mixed precision turned on in FSDP. " + f"Affects: {param_log}." + ) + + if len(upcasted_log) > 0: + warnings.warn( + "FSDP upcast of low precision parameters may affect the precision of model checkpoints." + ) + + # if the previous and current models are same, delete the previous one + if len(self._models) > 1 and (self._models[-2] is self._models[-1]): + del self._models[-2] + self._models[-1] = model + elif self.distributed_type == DistributedType.MULTI_CPU: + kwargs = self.ddp_handler.to_kwargs() if self.ddp_handler else {} + model = torch.nn.parallel.DistributedDataParallel(model, **kwargs) + if self.ddp_handler is not None: + self.ddp_handler.register_comm_hook(model) + elif self.distributed_type == DistributedType.XLA and self.state.fork_launched: + model = xmp.MpModelWrapper(model).to(self.device) + # Now we can apply the FP8 autocast + if self.fp8_backend == FP8BackendType.TE and self.delayed_fp8_autocast: + model = apply_fp8_autowrap(model, self.te_recipe_handler or self.fp8_recipe_handler) + # torch.compile should be called last and only if the model isn't already compiled + if self.state.dynamo_plugin.backend != DynamoBackend.NO and not is_compiled_module(model): + if self.state.dynamo_plugin.use_regional_compilation: + model = compile_regions(model, **self.state.dynamo_plugin.to_kwargs()) + else: + model = torch.compile(model, **self.state.dynamo_plugin.to_kwargs()) + return model + + def _prepare_ao(self, *args): + if not is_torchao_available(): + raise ImportError( + "`torchao` was not found on your system or is too old of a version. Please ensure that `torchao >= 0.6.1` is installed" + ) + + if self.is_fsdp2: + models = [x for x in args if isinstance(x, torch.nn.Module)] + optimizers = [x for x in args if isinstance(x, torch.optim.Optimizer)] + for arg in args: + if isinstance(arg, torch.nn.Module): + convert_model_to_fp8_ao( + arg, + config=self.ao_recipe_handler.config, + module_filter_func=self.ao_recipe_handler.module_filter_func, + ) + + # Invariant: with FSDP2, optimizer is always passed to `prepare()` together with model + # We only precompute scales if float8 all gather is enabled, possibly can add a flag for this later + if self.is_fsdp2 and len(optimizers) > 0 and self.ao_recipe_handler.config.enable_fsdp_float8_all_gather: + from torchao.float8 import precompute_float8_dynamic_scale_for_fsdp + + optimizers[0].register_step_post_hook( + lambda *args, **kwargs: precompute_float8_dynamic_scale_for_fsdp(models[0]) + ) + + return args + + def _prepare_te(self, *args): + if not is_transformer_engine_available(): + raise ImportError( + "`transformer_engine` was not found on your system. Please ensure that `transformer_engine` is installed" + ) + model, optimizer = None, None + num_models, num_optimizers = 0, 0 + result = [obj for obj in args] + for obj in result: + if isinstance(obj, torch.nn.Module): + model = obj + num_models += 1 + elif isinstance(obj, (torch.optim.Optimizer)): + optimizer = obj + num_optimizers += 1 + if optimizer is None and model is None: + return result + elif optimizer is None or model is None: + raise ValueError( + "You must pass a model and an optimizer together to `accelerate.prepare()` when using TransformerEngine." + ) + elif num_models > 1 or num_optimizers > 1: + raise ValueError( + f"You can't use multiple models ({num_models}) or optimizers {num_optimizers} with TransformerEngine." + ) + old_named_params = self._get_named_parameters(model) + with torch.no_grad(): + convert_model(model) + new_named_params = self._get_named_parameters(model) + mapping = {p: new_named_params[n] for n, p in old_named_params.items()} + # We need to switch the optimizer params to the new params *after* the model is wrapped in FSDP + for param_group in optimizer.param_groups: + param_group["params"] = [mapping[p] for p in param_group["params"]] + + return result + + def _prepare_deepspeed(self, *args): + import deepspeed + + ds_initialize = deepspeed.initialize + if self.fp8_backend == FP8BackendType.MSAMP: + # MS-AMP requires DeepSpeed patches + from msamp import deepspeed as msamp_deepspeed + + ds_initialize = msamp_deepspeed.initialize + + deepspeed_plugin = self.deepspeed_plugin + + is_dataloader_present = any(isinstance(obj, torch.utils.data.DataLoader) for obj in args) + tp_size = deepspeed_plugin.deepspeed_config.get("tensor_parallel", {}).get("autotp_size", 0) + + sp_backend = self.parallelism_config.sp_backend if self.parallelism_config else None + sp_size = self.parallelism_config.sp_size if self.parallelism_config else 1 + sp_handler = self.parallelism_config.sp_handler if self.parallelism_config else None + + if tp_size > 1: + if not compare_versions("deepspeed", ">=", "0.16.4"): + raise ImportError( + "Deepspeed TP requires deepspeed >= 0.16.4, Please update DeepSpeed via `pip install deepspeed -U`." + ) + if not is_torch_version(">=", "2.2.0"): + raise ImportError( + "Tried to use TP, but `torch.distributed.device_mesh` requires PyTorch >= 2.2.0. Please upgrade your PyTorch version" + ) + from torch.distributed.device_mesh import init_device_mesh + + mesh_dim_name = "tp" + self.state.ds_device_mesh = init_device_mesh(self.device.type, (tp_size,), mesh_dim_names=(mesh_dim_name,)) + + result = [ + self._prepare_one(obj, first_pass=True) if isinstance(obj, torch.utils.data.DataLoader) else obj + for obj in args + ] + + if deepspeed_plugin.is_auto("train_micro_batch_size_per_gpu"): + if is_dataloader_present: + batch_sizes = [obj.batch_size for obj in args if hasattr(obj, "batch_size")] + if any(bs is None for bs in batch_sizes): + raise ValueError( + "At least one of the dataloaders passed to `accelerate.prepare()` has `None` as batch size. " + "Please set an integer value in `train_micro_batch_size_per_gpu` in the deepspeed config file " + "or assign integer value to `AcceleratorState().deepspeed_plugin.deepspeed_config['train_micro_batch_size_per_gpu']`." + ) + if self.split_batches: + batch_sizes = [batch_size // self.num_processes for batch_size in batch_sizes] + + batch_size_per_device = min(batch_sizes) if deepspeed_plugin.is_train_batch_min else max(batch_sizes) + if len(batch_sizes) > 1: + logger.info( + "Since you passed both train and evaluation dataloader, `is_train_batch_min` (here " + f"{deepspeed_plugin.is_train_batch_min} will decide the `train_batch_size` ({batch_size_per_device})." + ) + else: + raise ValueError( + "When using DeepSpeed, `accelerate.prepare()` requires you to pass at least one of training or evaluation dataloaders " + "with `batch_size` attribute returning an integer value " + "or alternatively set an integer value in `train_micro_batch_size_per_gpu` in the deepspeed config file " + "or assign integer value to `AcceleratorState().deepspeed_plugin.deepspeed_config['train_micro_batch_size_per_gpu']`." + ) + else: + batch_size_per_device = deepspeed_plugin.get_value("train_micro_batch_size_per_gpu") + + # handle `gradient_accumulation_steps` when the value is `auto` + deepspeed_plugin.fill_match( + "gradient_accumulation_steps", + must_match=False, + gradient_accumulation_steps=self.gradient_accumulation_steps, + ) + + deepspeed_gradient_accumulation_steps = deepspeed_plugin.get_value("gradient_accumulation_steps") + # update gradient_accumulation_steps if there is a mismatch + if deepspeed_gradient_accumulation_steps != self.gradient_accumulation_steps: + logger.warning( + f"Gradient accumulation steps mismatch: GradientAccumulationPlugin has {self.gradient_accumulation_steps}, " + f"DeepSpeed config has {deepspeed_gradient_accumulation_steps}. Using DeepSpeed's value." + ) + self.gradient_accumulation_steps = deepspeed_gradient_accumulation_steps + + config_kwargs = { + "gradient_clipping": 1.0, + "zero_optimization.stage3_gather_16bit_weights_on_model_save": False, + } + # This block is skipped when preparing just a model and DL is absent from current call's args + if batch_size_per_device is not None: + config_kwargs["train_micro_batch_size_per_gpu"] = batch_size_per_device + config_kwargs["train_batch_size"] = ( + batch_size_per_device + * deepspeed_plugin.get_value("gradient_accumulation_steps") + * self.num_processes + // sp_size + ) + + model = None + optimizer = None + scheduler = None + for obj in result: + if isinstance(obj, torch.nn.Module): + model = obj + elif isinstance(obj, (torch.optim.Optimizer, DummyOptim)): + optimizer = obj + elif (isinstance(obj, (LRScheduler, DummyScheduler))) or ( + type(obj).__name__ in deepspeed.runtime.lr_schedules.VALID_LR_SCHEDULES + ): + scheduler = obj + + if optimizer is not None: + if "optimizer" in deepspeed_plugin.deepspeed_config and not isinstance(optimizer, (DummyOptim)): + raise ValueError( + "You cannot specify an optimizer in the config file and in the code at the same time. " + "Please remove the optimizer from the config file or " + "create `accelerate.utils.DummyOptim` in the code." + ) + elif "optimizer" not in deepspeed_plugin.deepspeed_config and isinstance(optimizer, (DummyOptim)): + raise ValueError( + "You cannot create a `DummyOptim` without specifying an optimizer in the config file." + ) + + if isinstance(optimizer, (torch.optim.Optimizer)): + deepspeed_plugin.deepspeed_config["zero_allow_untested_optimizer"] = True + + if scheduler is not None: + if "scheduler" in deepspeed_plugin.deepspeed_config and not isinstance(scheduler, (DummyScheduler)): + raise ValueError( + "You cannot specify a scheduler in the config file and in the code at the same time. " + "Please remove the scheduler from the config file or " + "create `accelerate.utils.DummyScheduler` in the code." + ) + elif ( + "scheduler" not in deepspeed_plugin.deepspeed_config + and isinstance(scheduler, (DummyScheduler)) + and scheduler.lr_scheduler_callable is None + ): + raise ValueError( + "Either specify a scheduler in the config file or " + "pass in the `lr_scheduler_callable` parameter when using `accelerate.utils.DummyScheduler`." + ) + + if optimizer is not None and scheduler is not None: + if isinstance(optimizer, (DummyOptim)) and not isinstance(scheduler, (DummyScheduler)): + raise ValueError( + "You can only specify `accelerate.utils.DummyScheduler` in the code when using " + "`accelerate.utils.DummyOptim`." + ) + + if model is not None: + # If we are using FP8, we need to apply the autowrap now + if self.fp8_backend == FP8BackendType.TE: + model = apply_fp8_autowrap(model, self.fp8_recipe_handler) + # if the model is an MOE, set the appropriate MOE layers as leaf Z3 modules + deepspeed_plugin.set_moe_leaf_modules(model) + # deal with config keys that use `auto` value and rely on model's hidden_size + hidden_size_based_keys = [ + "zero_optimization.reduce_bucket_size", + "zero_optimization.stage3_prefetch_bucket_size", + "zero_optimization.stage3_param_persistence_threshold", + ] + hidden_size_auto_keys = [x for x in hidden_size_based_keys if deepspeed_plugin.is_auto(x)] + if len(hidden_size_auto_keys) > 0: + reasoning = ( + "therefore it's not possible to automatically fill out the following `auto` entries " + + f"in the DeepSpeed config file: {hidden_size_auto_keys}. You can fix that by replacing " + + "`auto` values for these keys with an integer value of your choice." + ) + if not hasattr(model, "config"): + raise ValueError("Can't find `model.config` entry, " + reasoning) + + if hasattr(model.config, "hidden_size"): + hidden_size = model.config.hidden_size + elif hasattr(model.config, "hidden_sizes"): + # if there are many hidden sizes pick the largest one + hidden_size = max(model.config.hidden_sizes) + else: + raise ValueError( + "Can find neither `model.config.hidden_size` nor `model.config.hidden_sizes`, " + reasoning + ) + + config_kwargs.update( + { + "zero_optimization.reduce_bucket_size": hidden_size * hidden_size, + "zero_optimization.stage3_prefetch_bucket_size": int(0.9 * hidden_size * hidden_size), + "zero_optimization.stage3_param_persistence_threshold": 10 * hidden_size, + } + ) + + if isinstance(optimizer, (DummyOptim)): + config_kwargs.update( + {"optimizer.params.lr": optimizer.lr, "optimizer.params.weight_decay": optimizer.weight_decay} + ) + if isinstance(scheduler, (DummyScheduler)) and scheduler.lr_scheduler_callable is None: + max_lr = ( + getattr(scheduler.optimizer, "lr", None) + if getattr(scheduler.optimizer, "defaults", None) is None + else scheduler.optimizer.defaults["lr"] + ) + config_kwargs.update( + { + "scheduler.params.warmup_min_lr": 0, + "scheduler.params.warmup_max_lr": max_lr, + "scheduler.params.warmup_num_steps": scheduler.warmup_num_steps, + } + ) + if scheduler.total_num_steps is not None: + config_kwargs["scheduler.params.total_num_steps"] = ( + math.ceil(scheduler.total_num_steps / self.num_processes) + if not self.split_batches + else scheduler.total_num_steps + ) + + deepspeed_plugin.deepspeed_config_process(must_match=False, **config_kwargs) + self.deepspeed_config = deepspeed_plugin.deepspeed_config + + # note: batch_size derivation is all over the map, especiall in HF Trainer, so try to fix it at the last moment if needed + pc = self.parallelism_config + if pc is not None and pc.sp_backend == "deepspeed" and pc.sp_size > 1: + self.deepspeed_config["train_batch_size"] = ( + self.deepspeed_config["train_micro_batch_size_per_gpu"] + * self.deepspeed_config["gradient_accumulation_steps"] + * pc.data_parallel_size + ) + + kwargs = dict(model=model, config_params=self.deepspeed_config) + if optimizer is not None: + if isinstance(optimizer, (DummyOptim)): + kwargs["model_parameters"] = optimizer.params + if isinstance(scheduler, (DummyScheduler)) and scheduler.lr_scheduler_callable is not None: + kwargs["lr_scheduler"] = scheduler.lr_scheduler_callable + else: + if self.deepspeed_config["zero_optimization"].get("offload_optimizer", {}).get( + "device", "none" + ) != "none" and self.deepspeed_config.get("zero_force_ds_cpu_optimizer", True): + if self.device.type == "hpu" and os.environ.get("PT_HPU_LAZY_MODE", "1") == "1": + raise ValueError( + "You can't use an Offload Optimizer with HPU in Lazy Mode. " + "Please set the environment variable `PT_HPU_LAZY_MODE` to `0`." + ) + + optimizer = map_pytorch_optim_to_deepspeed(optimizer) + kwargs["optimizer"] = optimizer + if scheduler is not None: + if type(scheduler).__name__ in deepspeed.runtime.lr_schedules.VALID_LR_SCHEDULES: + kwargs["lr_scheduler"] = scheduler + + if self.device.type == "hpu": + # This env variable is initialized here to make sure it is set to "true" + # It should be done by the launcher but it does not work for multi-node runs + os.environ["DEEPSPEED_USE_HPU"] = "true" + + mpu = None + if sp_size > 1: + if sp_backend != "deepspeed": + raise ValueError( + f"In order to use the configured {sp_size=} with DeepSpeed, you need to configure sp_backend='deepspeed', yet you configured it to be {sp_backend=}." + ) + + ver_min_required = "0.18.2" + if not compare_versions("deepspeed", ">=", ver_min_required): + raise ImportError( + f"Deepspeed ALST/Ulysses requires deepspeed>={ver_min_required}. Please update DeepSpeed via `pip install deepspeed -U`." + ) + + from deepspeed.runtime.sequence_parallel.ulysses_sp import ( + UlyssesSPAttentionHF, + UlyssesSPDataLoaderAdapter, + ) + + if not hasattr(model, "config"): + raise ValueError( + "UlyssesSPAttentionHF currently works with HF Transformers and expects the model object to have a config attribute but this model doesn't have one." + ) + + mpu = UlyssesSPAttentionHF.register_with_transformers( + model_name_or_path=model, + sequence_parallel_size=sp_size, + seq_length=sp_handler.sp_seq_length, + seq_length_is_variable=sp_handler.sp_seq_length_is_variable, + core_attn_implementation=sp_handler.sp_attn_implementation, + micro_batch_size=batch_size_per_device, + ) + kwargs["mpu"] = mpu + + for i in range(len(result)): + if isinstance(result[i], torch.utils.data.DataLoader): + if sp_size > 1: + # note that in case dataloader was prepared apart from model (for the external accelerator.prepare call) you'd need to call deepspeed_ulysses_dl_adapter after prepare(model) (see HF Trainer as the use-case) + sp_group = mpu.get_sequence_parallel_group() + sp_world_size = mpu.get_sequence_parallel_world_size() + sp_rank = mpu.get_sequence_parallel_rank() + result[i] = UlyssesSPDataLoaderAdapter( + result[i], + sp_rank=sp_rank, + sp_group=sp_group, + sp_world_size=sp_world_size, + device=self.device, # model.device, + ) + + engine, optimizer, _, lr_scheduler = ds_initialize(**kwargs) + + if compare_versions("deepspeed", ">=", "0.14.4") and self.state.dynamo_plugin.backend != DynamoBackend.NO: + compile_kwargs = self.state.dynamo_plugin.to_kwargs() + if self.state.dynamo_plugin.use_regional_compilation: + compile_regions_deepspeed(engine.module, **compile_kwargs) + else: + engine.compile(backend=compile_kwargs.pop("backend"), compile_kwargs=compile_kwargs) + if optimizer is not None: + optimizer = DeepSpeedOptimizerWrapper(optimizer) + if scheduler is not None: + if lr_scheduler is None: + scheduler = AcceleratedScheduler( + scheduler, + optimizer, + step_with_optimizer=self.step_scheduler_with_optimizer, + split_batches=self.split_batches, + ) + else: + scheduler = DeepSpeedSchedulerWrapper(lr_scheduler, optimizer) + + for i in range(len(result)): + if isinstance(result[i], torch.nn.Module): + result[i] = engine + elif isinstance(result[i], (torch.optim.Optimizer, DummyOptim)): + result[i] = optimizer + elif (isinstance(result[i], (LRScheduler, DummyScheduler))) or ( + type(result[i]).__name__ in deepspeed.runtime.lr_schedules.VALID_LR_SCHEDULES + ): + result[i] = scheduler + + # pointing for deepspeed_engine_wrapped.backward() + if self.deepspeed_engine_wrapped is None: + self.deepspeed_engine_wrapped = DeepSpeedEngineWrapper(engine) + else: + logger.warning( + "A wrapped DeepSpeed engine reference is currently tied for this `Accelerator()` instance. " + "If you want to call `accelerator.backward()` referencing a new model/engine, " + "please create a separate `Accelerator()` instance and call `accelerator.prepare()` on it." + ) + self._models.append(engine) + if optimizer is not None: + self._optimizers.append(optimizer) + if scheduler is not None: + self._schedulers.append(scheduler) + return tuple(result) + + def deepspeed_ulysses_dl_adapter(self, dl, model): + """this is normally called as part of `prepare` but when dataloader was prepared apart from model (for the external accelerator.prepare call) this additional call needs to be made after prepare(model) (see HF Trainer as the use-case)""" + sp_size = self.parallelism_config.sp_size if self.parallelism_config else 1 + if sp_size == 1: + return dl + from deepspeed.runtime.sequence_parallel.ulysses_sp import UlyssesSPDataLoaderAdapter + from deepspeed.utils import groups + + sp_group = groups._get_sequence_parallel_group() + sp_world_size = groups._get_sequence_parallel_world_size() + sp_rank = groups._get_sequence_parallel_rank() + dl = UlyssesSPDataLoaderAdapter( + dl, + sp_rank=sp_rank, + sp_group=sp_group, + sp_world_size=sp_world_size, + device=model.device, + ) + return dl + + def _prepare_megatron_lm(self, *args): + megatron_lm_plugin = self.state.megatron_lm_plugin + micro_batch_size = None + if not megatron_lm_plugin.megatron_dataset_flag: + batch_sizes = [obj.batch_size for obj in args if hasattr(obj, "batch_size")] + if len(batch_sizes) == 0: + raise ValueError( + "You must specify a training or evaluation dataloader in `accelerate.prepare()` when using Megatron-LM." + ) + + micro_batch_size = min(batch_sizes) if megatron_lm_plugin.is_train_batch_min else max(batch_sizes) + if len(batch_sizes) > 1: + logger.info( + "Since you passed both train and evaluation dataloader, `is_train_batch_min` (here " + f"{megatron_lm_plugin.is_train_batch_min} will decide the `train_batch_size` ({micro_batch_size})." + ) + else: + for obj in args: + if isinstance(obj, MegatronLMDummyDataLoader): + micro_batch_size = obj.dataset_args["micro_batch_size"] + break + if micro_batch_size is not None: + dp_degree = self.num_processes // (megatron_lm_plugin.tp_degree * megatron_lm_plugin.pp_degree) + megatron_lm_plugin.set_training_args(micro_batch_size, dp_degree) + else: + raise ValueError( + "When you do not pass the dataloader parameter, the `data_parallel_size`, " + "`micro_batch_size`, and `global_batch_size` megatron parameters will not be updated." + ) + model = None + optimizer = None + scheduler = None + batch_data = None + for obj in args: + if isinstance(obj, torch.utils.data.DataLoader) and batch_data is None: + batch_data = next(iter(obj)) + elif isinstance(obj, torch.nn.Module): + model = obj + elif isinstance(obj, (torch.optim.Optimizer)): + optimizer = obj + elif isinstance(obj, (LRScheduler, MegatronLMDummyScheduler)): + scheduler = obj + + if model is not None: + megatron_lm_plugin.set_network_size_args(model, batch_data) + if optimizer is not None: + megatron_lm_plugin.set_optimizer_type(optimizer) + if scheduler is not None: + if not isinstance(scheduler, MegatronLMDummyScheduler): + raise ValueError( + "You can't use a custom scheduler with Megatron-LM. Please use the `accelerate.utils.MegatronLMDummyScheduler` instead." + ) + megatron_lm_plugin.set_scheduler_args(scheduler) + + # initialize megatron-lm + megatron_lm_initialize(self, args_defaults=megatron_lm_plugin.megatron_lm_default_args) + + (model, optimizer, scheduler) = megatron_lm_prepare_model_optimizer_scheduler(self) + self.wait_for_everyone() + + counter = 0 + result = [] + for obj in args: + if isinstance(obj, torch.utils.data.DataLoader): + result.append(megatron_lm_prepare_data_loader(self, obj)) + counter += 1 + elif isinstance(obj, MegatronLMDummyDataLoader): + if counter == 0: + obj.set_megatron_data_args() + dataloaders = megatron_lm_prepare_data_loader(self, obj) + result.append(dataloaders[counter]) + counter += 1 + else: + result.append(obj) + + if model is not None: + model = MegatronEngine(self, model, optimizer, scheduler) + if optimizer is not None: + optimizer = MegatronLMOptimizerWrapper(optimizer) + if scheduler is not None: + scheduler = MegatronLMSchedulerWrapper(scheduler, optimizer) + + for i in range(len(result)): + if isinstance(result[i], torch.nn.Module): + result[i] = model + elif isinstance(result[i], torch.optim.Optimizer): + result[i] = optimizer + elif isinstance(result[i], MegatronLMDummyScheduler): + result[i] = scheduler + + if model is not None: + self._models.append(model) + if len(self._models) > 1: + raise AssertionError( + "You can't use same `Accelerator()` instance with multiple models when using Megatron-LM" + ) + if optimizer is not None: + self._optimizers.append(optimizer) + if scheduler is not None: + self._schedulers.append(scheduler) + + return tuple(result) + + def _prepare_ipex(self, *args): + """ + Prepares model and optimizer for training with IPEX on CPU/XPU. This covers 3 cases, IPEX compiled with CPU + only support, IPEX compiled with XPU support and training with XPU pytorch backend available in stock pytorch + starting from version 2.4. + """ + + # ipex.optimize() is available only for IPEX, both IPEX-CPU and IPEX-XPU + if is_ipex_available(): + import intel_extension_for_pytorch as ipex + else: + raise ImportError( + "IPEX is not installed or IPEX's version does not match current PyTorch version. Please refer" + " to https://github.com/intel/intel-extension-for-pytorch." + ) + + models = [] + optimizers = [] + result = [obj for obj in args] + for i, obj in enumerate(result): + if isinstance(obj, torch.nn.Module): + model = obj + model.train() + models.append((i, model)) + elif isinstance(obj, (torch.optim.Optimizer)): + optimizers.append((i, obj)) + + # Impossible to determine what to do if multiple models and/or optimizers are provided + if len(optimizers) > 1 or (len(models) > 1 and len(optimizers) == 1): + raise ValueError( + "Prepare with IPEX expects either 1+ models and no optimizer OR a single model-optimizer pair." + ) + + # Nothing to do + if len(models) == 0 and len(optimizers) == 0: + return result + + dtype = torch.bfloat16 if self.state.mixed_precision == "bf16" else None + # Multiple models and no optimizer (inference) are provided + if len(models) > 0 and len(optimizers) == 0: + for i, model in models: + if self.device.type == "xpu" and next(model.parameters()).device.type == "cpu": + model = model.to(self.device) + model, _ = ipex.optimize(model, optimizer=None, dtype=dtype, inplace=True, level="O1") + # Replace in result + result[i] = model + + # A single model-optimizer pair (training) is provided + if len(models) == 1 and len(optimizers) == 1: + i_model, model = models[0] + i_optimizer, optimizer = optimizers[0] + if self.device.type == "xpu" and next(model.parameters()).device.type == "cpu": + model = model.to(self.device) + model, optimizer = ipex.optimize(model, optimizer=optimizer, dtype=dtype, inplace=True, level="O1") + # Replace in result + result[i_model] = model + result[i_optimizer] = optimizer + + return tuple(result) + + def _prepare_device_mesh(self): + """ + Prepare the device mesh for distributed training. The dataloader will determine how to load data based on the + device mesh. + """ + if self.distributed_type == DistributedType.DEEPSPEED and hasattr(self.state, "ds_device_mesh"): + return self.state.ds_device_mesh + else: + return self.torch_device_mesh + + def _prepare_msamp(self, *args, device_placement): + if not is_msamp_available(): + raise ImportError( + "MS-AMP was not found on your system. Please ensure that MS-AMP is available " + " or choose `'te'` as the backend for FP8 mixed precision training." + ) + # We've already checked for FSDP + MS-AMP during `__init__` + import msamp + + model, optimizer = None, None + optimizer_index = None + num_models, num_optimizers = 0, 0 + result = [obj for obj in args] + for i, obj in enumerate(result): + if isinstance(obj, torch.nn.Module): + model = obj + num_models += 1 + elif isinstance(obj, (torch.optim.Optimizer)): + optimizer = obj + optimizer_index = i + num_optimizers += 1 + # DataLoader/Scheduler case + if optimizer is None and model is None: + return result, device_placement + elif optimizer is None or model is None: + raise ValueError( + "You must pass a model and an optimizer together to `accelerate.prepare()` when using MS-AMP." + ) + elif num_models > 1 or num_optimizers > 1: + raise ValueError( + f"You can't use multiple models ({num_models}) or optimizers {num_optimizers} with MS-AMP." + ) + else: + # DEPRECATE @ 2.0 + if self.fp8_recipe_handler is not None: + opt_level = self.fp8_recipe_handler.opt_level + else: + opt_level = self.msamp_recipe_handler.opt_level + model, optimizer = msamp.initialize(model, optimizer, opt_level=opt_level) + for i in range(len(result)): + if isinstance(result[i], torch.nn.Module): + result[i] = model + elif isinstance(result[i], (torch.optim.Optimizer)): + result[i] = optimizer + if optimizer_index is not None: + # NOTE: MS-AMP moves the optimizer, but *not* the model to the right device + device_placement[optimizer_index] = False + return tuple(result), device_placement + + def prepare_data_loader( + self, data_loader: torch.utils.data.DataLoader, device_placement=None, slice_fn_for_dispatch=None + ): + """ + Prepares a PyTorch DataLoader for training in any distributed setup. It is recommended to use + [`Accelerator.prepare`] instead. + + Args: + data_loader (`torch.utils.data.DataLoader`): + A vanilla PyTorch DataLoader to prepare + device_placement (`bool`, *optional*): + Whether or not to place the batches on the proper device in the prepared dataloader. Will default to + `self.device_placement`. + slice_fn_for_dispatch (`Callable`, *optional*`): + If passed, this function will be used to slice tensors across `num_processes`. Will default to + [`~utils.slice_tensors`]. This argument is used only when `dispatch_batches` is set to `True` and will + be ignored otherwise. + + Example: + + ```python + >>> import torch + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> data_loader = torch.utils.data.DataLoader(...) + >>> data_loader = accelerator.prepare_data_loader(data_loader, device_placement=True) + ``` + """ + # Ensure we can't double wrap a DataLoader due to `find_batch_size` + if getattr(data_loader, "_is_accelerate_prepared", False): + if data_loader not in self._dataloaders: + self._dataloaders.append(data_loader) + return data_loader + if device_placement is None: + device_placement = self.device_placement if self.distributed_type != DistributedType.XLA else False + + device_mesh = self._prepare_device_mesh() + + prepared_data_loader = prepare_data_loader( + data_loader, + self.device, + num_processes=self.num_processes, + process_index=self.process_index, + split_batches=self.split_batches, + put_on_device=device_placement, + rng_types=self.rng_types.copy(), + dispatch_batches=self.dispatch_batches, + even_batches=self.even_batches, + slice_fn_for_dispatch=slice_fn_for_dispatch, + use_seedable_sampler=self.use_seedable_sampler, + data_seed=self.dataloader_config.data_seed, + non_blocking=self.non_blocking, + use_stateful_dataloader=self.use_stateful_dataloader, + torch_device_mesh=device_mesh, + ) + self._dataloaders.append(prepared_data_loader) + return prepared_data_loader + + def prepare_optimizer(self, optimizer: torch.optim.Optimizer, device_placement=None): + """ + Prepares a PyTorch Optimizer for training in any distributed setup. It is recommended to use + [`Accelerator.prepare`] instead. + + Args: + optimizer (`torch.optim.Optimizer`): + A vanilla PyTorch optimizer to prepare + device_placement (`bool`, *optional*): + Whether or not to place the optimizer on the proper device. Will default to `self.device_placement`. + + Example: + + ```python + >>> import torch + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> optimizer = torch.optim.Adam(...) + >>> optimizer = accelerator.prepare_optimizer(optimizer, device_placement=True) + ``` + """ + if is_lomo_available(): + # We need to import locally to avoid circular imports since lomo imports stuff from + # transformers & accelerate + from lomo_optim import AdaLomo, Lomo + + # Support multiple optimizers: https://github.com/huggingface/accelerate/pull/2695#discussion_r1589164607 + self.has_lomo_optimizer |= isinstance(optimizer, (Lomo, AdaLomo)) + + # Ensure we can't double wrap an optimizer due to `find_batch_size` + if getattr(optimizer, "_is_accelerate_prepared", False): + if optimizer not in self._optimizers: + self._optimizers.append(optimizer) + return optimizer + if device_placement is None: + device_placement = self.device_placement + # NOTE: Special case with MS-AMP we do *not* pass in the scaler explicitly to the `AcceleratedOptimizer`, + # Their optimizer handles it for us. + scaler = None if self.fp8_backend == FP8BackendType.MSAMP else self.scaler + optimizer = AcceleratedOptimizer(optimizer, device_placement=device_placement, scaler=scaler) + self._optimizers.append(optimizer) + return optimizer + + def prepare_scheduler(self, scheduler: LRScheduler): + """ + Prepares a PyTorch Scheduler for training in any distributed setup. It is recommended to use + [`Accelerator.prepare`] instead. + + Args: + scheduler (`torch.optim.lr_scheduler.LRScheduler`): + A vanilla PyTorch scheduler to prepare + + Example: + + ```python + >>> import torch + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> optimizer = torch.optim.Adam(...) + >>> scheduler = torch.optim.lr_scheduler.LambdaLR(optimizer, ...) + >>> scheduler = accelerator.prepare_scheduler(scheduler) + ``` + """ + # Ensure we can't double wrap a scheduler due to `find_batch_size` + if getattr(scheduler, "_is_accelerate_prepared", False): + if scheduler not in self._schedulers: + self._schedulers.append(scheduler) + return scheduler + # We try to find the optimizer associated with `scheduler`, the default is the full list. + optimizer = self._optimizers + for opt in self._optimizers: + if getattr(scheduler, "optimizer", None) == opt.optimizer: + optimizer = opt + break + scheduler = AcceleratedScheduler( + scheduler, + optimizer, + step_with_optimizer=self.step_scheduler_with_optimizer, + split_batches=self.split_batches, + ) + self._schedulers.append(scheduler) + return scheduler + + def backward(self, loss, **kwargs): + """ + Scales the gradients in accordance to the `GradientAccumulationPlugin` and calls the correct `backward()` based + on the configuration. + + Should be used in lieu of `loss.backward()`. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator(gradient_accumulation_steps=2) + >>> outputs = model(inputs) + >>> loss = loss_fn(outputs, labels) + >>> accelerator.backward(loss) + ``` + """ + learning_rate = kwargs.get("learning_rate") + + if self.distributed_type != DistributedType.DEEPSPEED: + # deepspeed handles loss scaling by gradient_accumulation_steps in its `backward` + loss = loss / self.gradient_accumulation_steps + if self.distributed_type == DistributedType.DEEPSPEED: + self.deepspeed_engine_wrapped.backward(loss, sync_gradients=self.sync_gradients, **kwargs) + elif self.distributed_type == DistributedType.MEGATRON_LM: + return + elif self.scaler is not None: + self.scaler.scale(loss).backward(**kwargs) + elif learning_rate is not None and self.has_lomo_optimizer: + self.lomo_backward(loss, learning_rate) + else: + loss.backward(**kwargs) + + def set_trigger(self): + """ + Sets the internal trigger tensor to 1 on the current process. A latter check should follow using this which + will check across all processes. + + Note: + Does not require `wait_for_everyone()` + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> # Assume later in the training script + >>> # `should_do_breakpoint` is a custom function to monitor when to break, + >>> # e.g. when the loss is NaN + >>> if should_do_breakpoint(loss): + ... accelerator.set_trigger() + >>> # Assume later in the training script + >>> if accelerator.check_breakpoint(): + ... break + ``` + """ + self.flag_tensor = torch.tensor(1, device=self.device) + + def check_trigger(self): + """ + Checks if the internal trigger tensor has been set to 1 in any of the processes. If so, will return `True` and + reset the trigger tensor to 0. + + Note: + Does not require `wait_for_everyone()` + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> # Assume later in the training script + >>> # `should_do_breakpoint` is a custom function to monitor when to break, + >>> # e.g. when the loss is NaN + >>> if should_do_breakpoint(loss): + ... accelerator.set_trigger() + >>> # Assume later in the training script + >>> if accelerator.check_trigger(): + ... break + ``` + """ + # Now that we are outside `__init__`, we can initialize it if it is `None` on device + if self.flag_tensor is None: + self.flag_tensor = torch.tensor(0, device=self.device) + flag_tensor = self.reduce(self.flag_tensor) + if flag_tensor.item() >= 1: + self.flag_tensor = torch.tensor(0, device=self.device) + return True + return False + + def unscale_gradients(self, optimizer=None): + """ + Unscale the gradients in mixed precision training with AMP. This is a noop in all other settings. + + Likely should be called through [`Accelerator.clip_grad_norm_`] or [`Accelerator.clip_grad_value_`] + + Args: + optimizer (`torch.optim.Optimizer` or `list[torch.optim.Optimizer]`, *optional*): + The optimizer(s) for which to unscale gradients. If not set, will unscale gradients on all optimizers + that were passed to [`~Accelerator.prepare`]. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> model, optimizer = accelerator.prepare(model, optimizer) + >>> outputs = model(inputs) + >>> loss = loss_fn(outputs, labels) + >>> accelerator.backward(loss) + >>> accelerator.unscale_gradients(optimizer=optimizer) + ``` + """ + if self.native_amp and self.mixed_precision == "fp16": + if optimizer is None: + # TODO: this unscales all optimizers where we should only unscale the one where parameters are. + optimizer = self._optimizers + elif not isinstance(optimizer, (tuple, list)): + optimizer = [optimizer] + for opt in optimizer: + while isinstance(opt, AcceleratedOptimizer): + opt = opt.optimizer + self.scaler.unscale_(opt) + + def clip_grad_norm_(self, parameters, max_norm, norm_type=2): + """ + Should be used in place of `torch.nn.utils.clip_grad_norm_`. + + Returns: + `torch.Tensor`: Total norm of the parameter gradients (viewed as a single vector). + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator(gradient_accumulation_steps=2) + >>> dataloader, model, optimizer, scheduler = accelerator.prepare(dataloader, model, optimizer, scheduler) + + >>> for input, target in dataloader: + ... optimizer.zero_grad() + ... output = model(input) + ... loss = loss_func(output, target) + ... accelerator.backward(loss) + ... if accelerator.sync_gradients: + ... accelerator.clip_grad_norm_(model.parameters(), max_grad_norm) + ... optimizer.step() + ``` + """ + if self.distributed_type == DistributedType.FSDP: + self.unscale_gradients() + parameters = [p for p in parameters] + for model in self._models: + if parameters == [p for p in model.parameters()]: + if not self.is_fsdp2: + return model.clip_grad_norm_(max_norm, norm_type) + else: + return torch.nn.utils.clip_grad_norm_( + parameters, max_norm, norm_type=norm_type + ) # viz: https://github.com/pytorch/torchtitan/blob/main/docs/fsdp.md + elif self.distributed_type == DistributedType.DEEPSPEED: + # DeepSpeed handles gradient clipping internally, but we can retrieve the gradient norm + if self.deepspeed_engine_wrapped is not None: + return self.deepspeed_engine_wrapped.get_global_grad_norm() + return None + elif self.distributed_type == DistributedType.XLA: + # Reduce gradients first for XLA + for acc_opt in self._optimizers: + if not acc_opt.gradient_state.is_xla_gradients_synced: + opt = acc_opt + while isinstance(opt, AcceleratedOptimizer): + opt = opt.optimizer + gradients = xm._fetch_gradients(opt) + # Use xm.all_reduce to perform an in-place all-reduce. Recursive all-reduce each tensor + # one by one in self.reduce is non-inplace. + xm.all_reduce("sum", gradients, scale=1.0 / self.num_processes) + # Set is_xla_gradients_synced to True to avoid all-reduce twice in the AcceleratedOptimizer step. + acc_opt.gradient_state.is_xla_gradients_synced = True + if os.environ.get("ACCELERATE_USE_FSDP", "false").lower() == "true": + self.unscale_gradients() + parameters = [p for p in parameters] + for model in self._models: + if parameters == [p for p in model.parameters()]: + return model.clip_grad_norm_(max_norm, norm_type) + self.unscale_gradients() + return torch.nn.utils.clip_grad_norm_(parameters, max_norm, norm_type=norm_type) + + def clip_grad_value_(self, parameters, clip_value): + """ + Should be used in place of `torch.nn.utils.clip_grad_value_`. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator(gradient_accumulation_steps=2) + >>> dataloader, model, optimizer, scheduler = accelerator.prepare(dataloader, model, optimizer, scheduler) + + >>> for input, target in dataloader: + ... optimizer.zero_grad() + ... output = model(input) + ... loss = loss_func(output, target) + ... accelerator.backward(loss) + ... if accelerator.sync_gradients: + ... accelerator.clip_grad_value_(model.parameters(), clip_value) + ... optimizer.step() + ``` + """ + if self.distributed_type in [DistributedType.DEEPSPEED, DistributedType.FSDP]: + raise Exception("DeepSpeed and FSDP do not support `clip_grad_value_`. Use `clip_grad_norm_` instead.") + self.unscale_gradients() + torch.nn.utils.clip_grad_value_(parameters, clip_value) + + def gather(self, tensor): + """ + Gather the values in *tensor* across all processes and concatenate them on the first dimension. Useful to + regroup the predictions from all processes when doing evaluation. + + Note: + This gather happens in all processes. + + Args: + tensor (`torch.Tensor`, or a nested tuple/list/dictionary of `torch.Tensor`): + The tensors to gather across all processes. + + Returns: + `torch.Tensor`, or a nested tuple/list/dictionary of `torch.Tensor`: The gathered tensor(s). Note that the + first dimension of the result is *num_processes* multiplied by the first dimension of the input tensors. + + Example: + + ```python + >>> # Assuming four processes + >>> import torch + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> process_tensor = torch.tensor([accelerator.process_index], device=accelerator.device) + >>> gathered_tensor = accelerator.gather(process_tensor) + >>> gathered_tensor + tensor([0, 1, 2, 3]) + ``` + """ + return gather(tensor) + + def gather_for_metrics(self, input_data, use_gather_object=False): + """ + Gathers `input_data` and potentially drops duplicates in the last batch if on a distributed system. Should be + used for gathering the inputs and targets for metric calculation. + + Args: + input (`torch.Tensor`, `object`, a nested tuple/list/dictionary of `torch.Tensor`, or a nested tuple/list/dictionary of `object`): + The tensors or objects for calculating metrics across all processes + use_gather_object(`bool`): + Whether to forcibly use gather_object instead of gather (which is already done if all objects passed do + not contain tensors). This flag can be useful for gathering tensors with different sizes that we don't + want to pad and concatenate along the first dimension. Using it with GPU tensors is not well supported + and inefficient as it incurs GPU -> CPU transfer since tensors would be pickled. + + Example: + + ```python + >>> # Assuming two processes, with a batch size of 5 on a dataset with 9 samples + >>> import torch + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> dataloader = torch.utils.data.DataLoader(range(9), batch_size=5) + >>> dataloader = accelerator.prepare(dataloader) + >>> batch = next(iter(dataloader)) + >>> gathered_items = accelerator.gather_for_metrics(batch) + >>> len(gathered_items) + 9 + ``` + """ + + try: + recursively_apply(lambda x: x, input_data, error_on_other_type=True) + all_tensors = True + except TypeError: + all_tensors = False + + use_gather_object = use_gather_object or not all_tensors + + if use_gather_object: + data = gather_object(input_data) + else: + data = self.gather(input_data) + + try: + if self.gradient_state.end_of_dataloader: + # at the end of a dataloader, `gather_for_metrics` regresses to + # `gather` unless the dataset has a remainder so log. + if self.gradient_state.remainder == -1: + logger.info( + "The used dataset had no length, returning gathered tensors. You should drop the remainder yourself." + ) + return data + elif self.gradient_state.remainder > 0: + # Last batch needs to be truncated on distributed systems as it contains additional samples + def _adjust_samples(tensor): + return tensor[: self.gradient_state.remainder] + + if use_gather_object: + # gather_object put the objects in a list + return _adjust_samples(data) + else: + return recursively_apply(_adjust_samples, data) + else: # remainder is 0 + # no remainder even though at end of dataloader, so nothing to do. + return data + else: + # Not at the end of the dataloader, no need to adjust the tensors + return data + except Exception: + # Dataset had no length or raised an error + return data + + def reduce(self, tensor, reduction="sum", scale=1.0): + """ + Reduce the values in *tensor* across all processes based on *reduction*. + + Note: + All processes get the reduced value. + + Args: + tensor (`torch.Tensor`, or a nested tuple/list/dictionary of `torch.Tensor`): + The tensors to reduce across all processes. + reduction (`str`, *optional*, defaults to "sum"): + A reduction type, can be one of 'sum', 'mean', or 'none'. If 'none', will not perform any operation. + scale (`float`, *optional*, defaults to 1.0): + A default scaling value to be applied after the reduce, only valid on XLA. + + Returns: + `torch.Tensor`, or a nested tuple/list/dictionary of `torch.Tensor`: + The reduced tensor(s). + + Example: + + ```python + >>> # Assuming two processes + >>> import torch + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> process_tensor = torch.arange(accelerator.num_processes) + 1 + (2 * accelerator.process_index) + >>> process_tensor = process_tensor.to(accelerator.device) + >>> reduced_tensor = accelerator.reduce(process_tensor, reduction="sum") + >>> reduced_tensor + tensor([4, 6]) + ``` + """ + return reduce(tensor, reduction, scale) + + def pad_across_processes(self, tensor, dim=0, pad_index=0, pad_first=False): + """ + Recursively pad the tensors in a nested list/tuple/dictionary of tensors from all devices to the same size so + they can safely be gathered. + + Args: + tensor (nested list/tuple/dictionary of `torch.Tensor`): + The data to gather. + dim (`int`, *optional*, defaults to 0): + The dimension on which to pad. + pad_index (`int`, *optional*, defaults to 0): + The value with which to pad. + pad_first (`bool`, *optional*, defaults to `False`): + Whether to pad at the beginning or the end. + + Returns: + `torch.Tensor`, or a nested tuple/list/dictionary of `torch.Tensor`: + The padded tensor(s). + + Example: + + ```python + >>> # Assuming two processes, with the first processes having a tensor of size 1 and the second of size 2 + >>> import torch + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> process_tensor = torch.arange(accelerator.process_index + 1).to(accelerator.device) + >>> padded_tensor = accelerator.pad_across_processes(process_tensor) + >>> padded_tensor.shape + torch.Size([2]) + ``` + """ + return pad_across_processes(tensor, dim=dim, pad_index=pad_index, pad_first=pad_first) + + def unwrap_model(self, model, keep_fp32_wrapper: bool = True, keep_torch_compile: bool = True): + """ + Unwraps the `model` from the additional layer possible added by [`~Accelerator.prepare`]. Useful before saving + the model. + + Args: + model (`torch.nn.Module`): + The model to unwrap. + keep_fp32_wrapper (`bool`, *optional*, defaults to `True`): + Whether to not remove the mixed precision hook if it was added. + keep_torch_compile (`bool`, *optional*, defaults to `True`): + Whether to not unwrap compiled model if compiled. + Returns: + `torch.nn.Module`: The unwrapped model. + + Example: + + ```python + >>> # Assuming two GPU processes + >>> from torch.nn.parallel import DistributedDataParallel + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> model = accelerator.prepare(MyModel()) + >>> print(model.__class__.__name__) + DistributedDataParallel + + >>> model = accelerator.unwrap_model(model) + >>> print(model.__class__.__name__) + MyModel + ``` + """ + return extract_model_from_parallel(model, keep_fp32_wrapper, keep_torch_compile) + + def wait_for_everyone(self): + """ + Will stop the execution of the current process until every other process has reached that point (so this does + nothing when the script is only run in one process). Useful to do before saving a model. + + Example: + + ```python + >>> # Assuming two GPU processes + >>> import time + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> if accelerator.is_main_process: + ... time.sleep(2) + >>> else: + ... print("I'm waiting for the main process to finish its sleep...") + >>> accelerator.wait_for_everyone() + >>> # Should print on every process at the same time + >>> print("Everyone is here") + ``` + """ + wait_for_everyone() + + @on_main_process + def init_trackers(self, project_name: str, config: dict | None = None, init_kwargs: dict | None = {}): + """ + Initializes a run for all trackers stored in `self.log_with`, potentially with starting configurations + + Args: + project_name (`str`): + The name of the project. All trackers will save their data based on this + config (`dict`, *optional*): + Optional starting configuration to be logged. + init_kwargs (`dict`, *optional*): + A nested dictionary of kwargs to be passed to a specific tracker's `__init__` function. Should be + formatted like so: + ```python + {"wandb": {"tags": ["tag_a", "tag_b"]}} + ``` + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator(log_with="tensorboard") + >>> accelerator.init_trackers( + ... project_name="my_project", + ... config={"learning_rate": 0.001, "batch_size": 32}, + ... init_kwargs={"tensorboard": {"flush_secs": 60}}, + ... ) + ``` + """ + for tracker in self.log_with: + if issubclass(type(tracker), GeneralTracker): + # Custom trackers are already initialized + self.trackers.append(tracker) + else: + tracker_init = LOGGER_TYPE_TO_CLASS[str(tracker)] + if tracker_init.requires_logging_directory: + # We can skip this check since it was done in `__init__` + self.trackers.append( + tracker_init(project_name, self.logging_dir, **init_kwargs.get(str(tracker), {})) + ) + else: + self.trackers.append(tracker_init(project_name, **init_kwargs.get(str(tracker), {}))) + + for tracker in self.trackers: + tracker.start() + + if config is not None: + for tracker in self.trackers: + tracker.store_init_configuration(config) + + def get_tracker(self, name: str, unwrap: bool = False): + """ + Returns a `tracker` from `self.trackers` based on `name` on the main process only. + + Args: + name (`str`): + The name of a tracker, corresponding to the `.name` property. + unwrap (`bool`): + Whether to return the internal tracking mechanism or to return the wrapped tracker instead + (recommended). + + Returns: + `GeneralTracker`: The tracker corresponding to `name` if it exists. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator(log_with="tensorboard") + >>> accelerator.init_trackers("my_project") + >>> tensorboard_tracker = accelerator.get_tracker("tensorboard") + ``` + """ + if len(self.trackers) > 0: + for tracker in self.trackers: + if tracker.name == name: + return tracker.tracker if unwrap else tracker + raise ValueError(f"{name} is not an available tracker stored inside the `Accelerator`.") + # Handle tracker only made on main process + return GeneralTracker(_blank=True) + + @on_main_process + def log(self, values: dict, step: int | None = None, log_kwargs: dict | None = {}): + """ + Logs `values` to all stored trackers in `self.trackers` on the main process only. + + Args: + values (`dict`): + Values should be a dictionary-like object containing only types `int`, `float`, or `str`. + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + log_kwargs (`dict`, *optional*): + A nested dictionary of kwargs to be passed to a specific tracker's `log` function. Should be formatted + like so: + ```python + {"wandb": {"tags": ["tag_a", "tag_b"]}} + ``` + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator(log_with="tensorboard") + >>> accelerator.init_trackers("my_project") + >>> accelerator.log({"loss": 0.5, "accuracy": 0.9}) + ``` + """ + for tracker in self.trackers: + tracker.log(values, step=step, **log_kwargs.get(tracker.name, {})) + + def end_training(self): + """ + Runs any special end training behaviors, such as stopping trackers on the main process only or destoying + process group. Should always be called at the end of your script if using experiment tracking. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator(log_with="tensorboard") + >>> accelerator.init_trackers("my_project") + >>> # Do training + >>> accelerator.end_training() + ``` + """ + for tracker in self.trackers: + tracker.finish() + + self.state.destroy_process_group() + + def save(self, obj, f, safe_serialization=False): + """ + Save the object passed to disk once per machine. Use in place of `torch.save`. + + Args: + obj (`object`): The object to save. + f (`str` or `os.PathLike`): Where to save the content of `obj`. + safe_serialization (`bool`, *optional*, defaults to `False`): Whether to save `obj` using `safetensors` + + Note: + If `save_on_each_node` was passed in as a `ProjectConfiguration`, will save the object once per node, + rather than only once on the main node. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> arr = [0, 1, 2, 3] + >>> accelerator.save(arr, "array.pkl") + ``` + """ + save( + obj, + f, + save_on_each_node=self.project_configuration.save_on_each_node, + safe_serialization=safe_serialization, + ) + + def save_model( + self, + model: torch.nn.Module, + save_directory: Union[str, os.PathLike], + max_shard_size: Union[int, str] = "10GB", + safe_serialization: bool = True, + ): + """ + Save a model so that it can be re-loaded using load_checkpoint_in_model + + Arguments: + model: (`torch.nn.Module`): + Model to be saved. The model can be wrapped or unwrapped. + save_directory (`str` or `os.PathLike`): + Directory to which to save. Will be created if it doesn't exist. + max_shard_size (`int` or `str`, *optional*, defaults to `"10GB"`): + The maximum size for a checkpoint before being sharded. Checkpoints shard will then be each of size + lower than this size. If expressed as a string, needs to be digits followed by a unit (like `"5MB"`). + + + + If a single weight of the model is bigger than `max_shard_size`, it will be in its own checkpoint shard + which will be bigger than `max_shard_size`. + + + + safe_serialization (`bool`, *optional*, defaults to `True`): + Whether to save the model using `safetensors` or the traditional PyTorch way (that uses `pickle`). + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> model = ... + >>> accelerator.save_model(model, save_directory) + ``` + """ + + if os.path.isfile(save_directory): + logger.error(f"Provided path ({save_directory}) should be a directory, not a file") + return + + # get the state_dict of the model + if any(has_offloaded_params(module) for module in model.modules()): + state_dict = get_state_dict_offloaded_model(model) + else: + if any(param.device == torch.device("meta") for param in model.parameters()): + raise RuntimeError("You can't save the model since some parameters are on the meta device.") + state_dict = self.get_state_dict(model) + + # Case: DeepSpeed zero3 gets gathered and `state_dict` is empty + if state_dict is None: + return + os.makedirs(save_directory, exist_ok=True) + + if safe_serialization: + state_dict = clean_state_dict_for_safetensors(state_dict) + weights_name = SAFE_WEIGHTS_NAME if safe_serialization else WEIGHTS_NAME + filename_pattern = SAFE_WEIGHTS_PATTERN_NAME if safe_serialization else WEIGHTS_PATTERN_NAME + + state_dict_split = split_torch_state_dict_into_shards( + state_dict, filename_pattern=filename_pattern, max_shard_size=max_shard_size + ) + + # Clean the folder from a previous save + for filename in os.listdir(save_directory): + full_filename = os.path.join(save_directory, filename) + # If we have a shard file that is not going to be replaced, we delete it, but only from the main process + # in distributed settings to avoid race conditions. + weights_no_suffix = weights_name.replace(".bin", "") + + # make sure that file to be deleted matches format of sharded file, e.g. pytorch_model-00001-of-00005 + filename_no_suffix = filename.replace(".bin", "") + reg = re.compile(r"(.*?)-\d{5}-of-\d{5}") + + if ( + filename.startswith(weights_no_suffix) + and os.path.isfile(full_filename) + and filename not in state_dict_split.filename_to_tensors.keys() + and reg.fullmatch(filename_no_suffix) is not None + and PartialState().is_main_process + ): + os.remove(full_filename) + + # Save the model + for filename, tensors in state_dict_split.filename_to_tensors.items(): + shard = {tensor: state_dict[tensor] for tensor in tensors} + self.save(shard, os.path.join(save_directory, filename), safe_serialization=safe_serialization) + + # Save index if sharded + if state_dict_split.is_sharded: + index = { + "metadata": state_dict_split.metadata, + "weight_map": state_dict_split.tensor_to_filename, + } + save_index_file = SAFE_WEIGHTS_INDEX_NAME if safe_serialization else WEIGHTS_INDEX_NAME + save_index_file = os.path.join(save_directory, save_index_file) + with open(save_index_file, "w", encoding="utf-8") as f: + content = json.dumps(index, indent=2, sort_keys=True) + "\n" + f.write(content) + logger.info( + f"The model is bigger than the maximum size per checkpoint ({max_shard_size}) and is going to be " + f"split in {len(state_dict_split.filename_to_tensors)} checkpoint shards. You can find where each parameters has been saved in the " + f"index located at {save_index_file}." + ) + else: + path_to_weights = os.path.join(save_directory, WEIGHTS_NAME) + logger.info(f"Model weights saved in {path_to_weights}") + + def register_save_state_pre_hook(self, hook: Callable[..., None]) -> hooks.RemovableHandle: + """ + Registers a pre hook to be run before `save_checkpoint` is called in [`Accelerator.save_state`]. + + Args: + hook (`Callable`): + A function to be called in [`Accelerator.save_state`] before `save_checkpoint`. + + The hook should have the following signature: + + `hook(models: list[torch.nn.Module], weights: list[dict[str, torch.Tensor]], input_dir: str) -> None` + + The `models` argument are the models as saved in the accelerator state under `accelerator._models`, `weights` + argument are the state dicts of the `models`, and the `input_dir` argument is the `input_dir` argument passed + to [`Accelerator.load_state`]. + + + + Should only be used in conjunction with [`Accelerator.register_load_state_pre_hook`]. Can be useful to save + configurations in addition to model weights. Can also be used to overwrite model saving with a customized + method. In this case, make sure to remove already loaded weights from the weights list. + + + + Returns: + `torch.utils.hooks.RemovableHandle`: a handle that can be used to remove the added hook by calling + `handle.remove()` + """ + handle = hooks.RemovableHandle(self._save_model_state_pre_hook) + self._save_model_state_pre_hook[handle.id] = hook + return handle + + def save_state(self, output_dir: str | None = None, safe_serialization: bool = True, **save_model_func_kwargs): + """ + Saves the current states of the model, optimizer, scaler, RNG generators, and registered objects to a folder. + + If a `ProjectConfiguration` was passed to the `Accelerator` object with `automatic_checkpoint_naming` enabled + then checkpoints will be saved to `self.project_dir/checkpoints`. If the number of current saves is greater + than `total_limit` then the oldest save is deleted. Each checkpoint is saved in separate folders named + `checkpoint_`. + + Otherwise they are just saved to `output_dir`. + + + + Should only be used when wanting to save a checkpoint during training and restoring the state in the same + environment. + + + + Args: + output_dir (`str` or `os.PathLike`): + The name of the folder to save all relevant weights and states. + safe_serialization (`bool`, *optional*, defaults to `True`): + Whether to save the model using `safetensors` or the traditional PyTorch way (that uses `pickle`). + save_model_func_kwargs (`dict`, *optional*): + Additional keyword arguments for saving model which can be passed to the underlying save function, such + as optional arguments for DeepSpeed's `save_checkpoint` function. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> model, optimizer, lr_scheduler = ... + >>> model, optimizer, lr_scheduler = accelerator.prepare(model, optimizer, lr_scheduler) + >>> accelerator.save_state(output_dir="my_checkpoint") + ``` + """ + if self.project_configuration.automatic_checkpoint_naming: + output_dir = os.path.join(self.project_dir, "checkpoints") + os.makedirs(output_dir, exist_ok=True) + if self.project_configuration.automatic_checkpoint_naming: + folders = [os.path.join(output_dir, folder) for folder in os.listdir(output_dir)] + if ( + self.project_configuration.total_limit is not None + and (len(folders) + 1 > self.project_configuration.total_limit) + and self.is_main_process + ): + + def _inner(folder): + return list(map(int, re.findall(r"[\/]?([0-9]+)(?=[^\/]*$)", folder)))[0] + + folders.sort(key=_inner) + logger.warning( + f"Deleting {len(folders) + 1 - self.project_configuration.total_limit} checkpoints to make room for new checkpoint." + ) + for folder in folders[: len(folders) + 1 - self.project_configuration.total_limit]: + shutil.rmtree(folder) + output_dir = os.path.join(output_dir, f"checkpoint_{self.save_iteration}") + if os.path.exists(output_dir): + raise ValueError( + f"Checkpoint directory {output_dir} ({self.save_iteration}) already exists. Please manually override `self.save_iteration` with what iteration to start with." + ) + self.wait_for_everyone() + os.makedirs(output_dir, exist_ok=True) + logger.info(f"Saving current state to {output_dir}") + + if self.distributed_type == DistributedType.XLA: + # Finish running the previous step before checkpointing + xm.mark_step() + + # Save the models taking care of FSDP and DeepSpeed nuances + weights = [] + for i, model in enumerate(self._models): + if self.distributed_type == DistributedType.FSDP: + logger.info("Saving FSDP model") + save_fsdp_model(self.state.fsdp_plugin, self, model, output_dir, i) + logger.info(f"FSDP Model saved to output dir {output_dir}") + elif self.distributed_type == DistributedType.DEEPSPEED: + logger.info("Saving DeepSpeed Model and Optimizer") + ckpt_id = f"{MODEL_NAME}" if i == 0 else f"{MODEL_NAME}_{i}" + model.save_checkpoint(output_dir, ckpt_id, **save_model_func_kwargs) + logger.info(f"DeepSpeed Model and Optimizer saved to output dir {os.path.join(output_dir, ckpt_id)}") + elif self.distributed_type == DistributedType.MEGATRON_LM: + logger.info("Saving Megatron-LM Model, Optimizer and Scheduler") + model.save_checkpoint(output_dir) + logger.info(f"Megatron-LM Model , Optimizer and Scheduler saved to output dir {output_dir}") + else: + weights.append(self.get_state_dict(model, unwrap=False)) + + # Save the optimizers taking care of FSDP and DeepSpeed nuances + optimizers = [] + if self.distributed_type == DistributedType.FSDP: + for i, opt in enumerate(self._optimizers): + logger.info("Saving FSDP Optimizer") + save_fsdp_optimizer(self.state.fsdp_plugin, self, opt, self._models[i], output_dir, i) + logger.info(f"FSDP Optimizer saved to output dir {output_dir}") + elif self.distributed_type not in [DistributedType.DEEPSPEED, DistributedType.MEGATRON_LM]: + optimizers = self._optimizers + + # Save the lr schedulers taking care of DeepSpeed nuances + schedulers = [] + if self.distributed_type == DistributedType.DEEPSPEED: + for i, scheduler in enumerate(self._schedulers): + if isinstance(scheduler, DeepSpeedSchedulerWrapper): + continue + schedulers.append(scheduler) + elif self.distributed_type not in [DistributedType.MEGATRON_LM]: + schedulers = self._schedulers + + # Save the samplers of the dataloaders + dataloaders = self._dataloaders + + # Call model loading hooks that might have been registered with + # accelerator.register_model_state_hook + for hook in self._save_model_state_pre_hook.values(): + hook(self._models, weights, output_dir) + + save_location = save_accelerator_state( + output_dir, + weights, + optimizers, + schedulers, + dataloaders, + self.state.process_index, + self.step, + self.scaler, + save_on_each_node=self.project_configuration.save_on_each_node, + safe_serialization=safe_serialization, + ) + for i, obj in enumerate(self._custom_objects): + save_custom_state(obj, output_dir, i, save_on_each_node=self.project_configuration.save_on_each_node) + self.project_configuration.iteration += 1 + return save_location + + def register_load_state_pre_hook(self, hook: Callable[..., None]) -> hooks.RemovableHandle: + """ + Registers a pre hook to be run before [`load_checkpoint`] is called in [`Accelerator.load_state`]. + + Args: + hook (`Callable`): + A function to be called in [`Accelerator.load_state`] before `load_checkpoint`. + + The hook should have the following signature: + + `hook(models: list[torch.nn.Module], input_dir: str) -> None` + + The `models` argument are the models as saved in the accelerator state under `accelerator._models`, and the + `input_dir` argument is the `input_dir` argument passed to [`Accelerator.load_state`]. + + + + Should only be used in conjunction with [`Accelerator.register_save_state_pre_hook`]. Can be useful to load + configurations in addition to model weights. Can also be used to overwrite model loading with a customized + method. In this case, make sure to remove already loaded models from the models list. + + + + Returns: + `torch.utils.hooks.RemovableHandle`: a handle that can be used to remove the added hook by calling + `handle.remove()` + """ + handle = hooks.RemovableHandle(self._load_model_state_pre_hook) + self._load_model_state_pre_hook[handle.id] = hook + return handle + + def load_state(self, input_dir: str | None = None, load_kwargs: dict | None = None, **load_model_func_kwargs): + """ + Loads the current states of the model, optimizer, scaler, RNG generators, and registered objects. + + + + Should only be used in conjunction with [`Accelerator.save_state`]. If a file is not registered for + checkpointing, it will not be loaded if stored in the directory. + + + + Args: + input_dir (`str` or `os.PathLike`): + The name of the folder all relevant weights and states were saved in. Can be `None` if + `automatic_checkpoint_naming` is used, and will pick up from the latest checkpoint. + load_kwargs (`dict`, *optional*): + Additional keyword arguments for the underlying `load` function, such as optional arguments for + state_dict and optimizer on. + load_model_func_kwargs (`dict`, *optional*): + Additional keyword arguments for loading model which can be passed to the underlying load function, + such as optional arguments for DeepSpeed's `load_checkpoint` function or a `map_location` to load the + model and optimizer on. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> model, optimizer, lr_scheduler = ... + >>> model, optimizer, lr_scheduler = accelerator.prepare(model, optimizer, lr_scheduler) + >>> accelerator.load_state("my_checkpoint") + ``` + """ + if input_dir is not None: + # Check if folder exists + input_dir = os.path.expanduser(input_dir) + if not os.path.isdir(input_dir): + raise ValueError(f"Tried to find {input_dir} but folder does not exist") + elif self.project_configuration.automatic_checkpoint_naming: + # Pick up from automatic checkpoint naming + input_dir = os.path.join(self.project_dir, "checkpoints") + folders = [os.path.join(input_dir, folder) for folder in os.listdir(input_dir)] + + def _inner(folder): + return list(map(int, re.findall(r"[\/]?([0-9]+)(?=[^\/]*$)", folder)))[0] + + folders.sort(key=_inner) + input_dir = folders[-1] + else: + raise ValueError("No input_dir provided and automatic checkpoint naming is disabled.") + logger.info(f"Loading states from {input_dir}") + + # Load the models taking care of FSDP and DeepSpeed nuances + models = [] + for i, model in enumerate(self._models): + if self.distributed_type == DistributedType.FSDP: + logger.info("Loading FSDP model") + load_fsdp_model(self.state.fsdp_plugin, self, model, input_dir, i) + logger.info(f"FSDP Model loaded from input dir {input_dir}") + elif self.distributed_type == DistributedType.DEEPSPEED: + logger.info("Loading DeepSpeed Model and Optimizer") + ckpt_id = f"{MODEL_NAME}" if i == 0 else f"{MODEL_NAME}_{i}" + model.load_checkpoint(input_dir, ckpt_id, **load_model_func_kwargs) + logger.info(f"DeepSpeed Model and Optimizer loaded from input dir {os.path.join(input_dir, ckpt_id)}") + elif self.distributed_type == DistributedType.MEGATRON_LM: + logger.info("Loading Megatron-LM Model, Optimizer and Scheduler") + model.load_checkpoint(input_dir) + logger.info(f"Megatron-LM Model , Optimizer and Scheduler loaded from input dir {input_dir}") + else: + models.append(model) + + # We need to load the scaler state before the optimizer for FSDP2 + # (`torch.distributed.checkpoint.set_optimizer_state_dict`) which we use to set the state of the optimizer calls `optimizer.step` on + # a dummy tensor, but since the scaler is not initialized, it will raise an error (the scaler exists but its `_scale` is None) + scaler = None + if self.scaler is not None and self.is_fsdp2: + input_scaler_file = os.path.join(input_dir, SCALER_NAME) + scaler_state = torch.load(input_scaler_file) + self.scaler.load_state_dict(scaler_state) + # We also need to call the `_lazy_init_scale_growth_tracker` to initialize the scaler, as it would else be called + # on the first call to scale + self.scaler._lazy_init_scale_growth_tracker(self.scaler._device) + logger.info("GradScaler state loaded successfully") + else: + scaler = self.scaler + + # Load the optimizers taking care of FSDP and DeepSpeed nuances + optimizers = [] + if self.distributed_type == DistributedType.FSDP: + for i, opt in enumerate(self._optimizers): + logger.info("Loading FSDP Optimizer") + load_fsdp_optimizer(self.state.fsdp_plugin, self, opt, self._models[i], input_dir, i) + logger.info(f"FSDP Optimizer loaded from input dir {input_dir}") + elif self.distributed_type not in [DistributedType.DEEPSPEED, DistributedType.MEGATRON_LM]: + optimizers = self._optimizers + + # Load the lr schedulers taking care of DeepSpeed nuances + schedulers = [] + if self.distributed_type == DistributedType.DEEPSPEED: + for i, scheduler in enumerate(self._schedulers): + if isinstance(scheduler, DeepSpeedSchedulerWrapper): + continue + schedulers.append(scheduler) + elif self.distributed_type not in [DistributedType.MEGATRON_LM]: + schedulers = self._schedulers + + dataloaders = self._dataloaders + + # Call model loading hooks that might have been registered with + # accelerator.register_model_state_hook + for hook in self._load_model_state_pre_hook.values(): + hook(models, input_dir) + + map_location = load_model_func_kwargs.pop("map_location", None) + if map_location is None: + if self.num_processes > 1 and self.multi_device and self.distributed_type != DistributedType.MULTI_XPU: + map_location = "on_device" + else: + map_location = "cpu" + + override_attributes = load_accelerator_state( + input_dir, + models, + optimizers, + schedulers, + dataloaders, + self.state.process_index, + scaler, + map_location, + load_kwargs, + **load_model_func_kwargs, + ) + if "step" in override_attributes: + self.step = override_attributes["step"] + custom_checkpoints = [ + f for f in os.listdir(input_dir) if re.search(r"^custom_checkpoint_\d+\.pkl$", f) is not None + ] + if len(custom_checkpoints) != len(self._custom_objects): + err = ( + f"Number of custom checkpoints in folder {input_dir} does not match the number of registered objects:" + ) + err += f"\n\tFound checkpoints: {len(custom_checkpoints)}" + err += f"\n\tRegistered objects: {len(self._custom_objects)}\n" + err += "Please make sure to only load checkpoints from folders that were created with the same set of registered objects," + err += "or avoid using `custom_checkpoint` in the filename for files in that same directory and load them in manually." + raise RuntimeError(err) + else: + logger.info(f"Loading in {len(custom_checkpoints)} custom states") + for index, obj in enumerate(self._custom_objects): + load_custom_state(obj, input_dir, index) + + def free_memory(self, *objects): + """ + Will release all references to the internal objects stored and call the garbage collector. You should call this + method between two trainings with different models/optimizers. Also will reset `Accelerator.step` to 0. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> model, optimizer, scheduler = ... + >>> model, optimizer, scheduler = accelerator.prepare(model, optimizer, scheduler) + >>> model, optimizer, scheduler = accelerator.free_memory(model, optimizer, scheduler) + ``` + """ + # Deepspeed needs a bit more prep that should be done first + if hasattr(self, "deepspeed_engine_wrapped"): + if self.deepspeed_engine_wrapped is not None: + self.deepspeed_engine_wrapped.engine.destroy() + self.deepspeed_engine_wrapped = None + objects = release_memory(*objects) + self._schedulers = [] + self._optimizers = [] + self._models = [] + self._dataloaders = [] + self.step = 0 + return objects + + def clear(self, *objects): + """ + Alias for [`Accelerate.free_memory`], releases all references to the internal objects stored and call the + garbage collector. You should call this method between two trainings with different models/optimizers. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> model, optimizer, scheduler = ... + >>> model, optimizer, scheduler = accelerator.prepare(model, optimizer, scheduler) + >>> model, optimizer, scheduler = accelerator.clear(model, optimizer, scheduler) + ``` + """ + return self.free_memory(*objects) + + def _get_named_parameters(self, *args, drop_refs=False): + named_parameters = {} + accessor_mapping = {} + for obj in args: + if isinstance(obj, torch.nn.Module): + obj = extract_model_from_parallel(obj) + if not drop_refs: + named_parameters.update({n: p for n, p in obj.named_parameters()}) + continue + + # we need this bit as `WeightWithDynamic...` returns 0 when `data_ptr()` is called, + # the underlying pointer is actually hidden in `_tensor` attribute + if self.fp8_backend == FP8BackendType.AO: + from torchao.float8.fsdp_utils import WeightWithDynamicFloat8CastTensor + + accessor_mapping[WeightWithDynamicFloat8CastTensor] = "_tensor" + # we know we're in FSDP2 so DTensor is available + if self.is_fsdp2: + from torch.distributed.tensor import DTensor + + accessor_mapping[DTensor] = "_local_tensor" + + named_parameters.update( + { + n: getattr(p, accessor_mapping[type(p)]).data_ptr() + if type(p) in accessor_mapping + else p.data_ptr() + for n, p in obj.named_parameters() + } + ) + return named_parameters + + def _get_devices(self, *args): + model_device = None + optimizer_device = None + for obj in args: + # Loop through model parameters and stop at the first once we have its device. + if isinstance(obj, torch.nn.Module): + for param in obj.parameters(): + model_device = param.device + break + # Loop through optimizer parameters groups and stop at the first once we have its device. + if isinstance(obj, torch.optim.Optimizer): + for param_group in obj.param_groups: + if len(param_group["params"]) > 0: + optimizer_device = param_group["params"][0].device + break + return (model_device, optimizer_device) + + def get_state_dict(self, model, unwrap=True): + """ + Returns the state dictionary of a model sent through [`Accelerator.prepare`] potentially without full + precision. + + Args: + model (`torch.nn.Module`): + A PyTorch model sent through [`Accelerator.prepare`] + unwrap (`bool`, *optional*, defaults to `True`): + Whether to return the original underlying state_dict of `model` or to return the wrapped state_dict + + Returns: + `dict`: The state dictionary of the model potentially without full precision. + + Example: + + ```python + >>> import torch + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> net = torch.nn.Linear(2, 2) + >>> net = accelerator.prepare(net) + >>> state_dict = accelerator.get_state_dict(net) + ``` + """ + + if self.distributed_type == DistributedType.DEEPSPEED: + zero3_sharding = self.deepspeed_config["zero_optimization"]["stage"] == 3 + tp_sharding = self.deepspeed_config.get("tensor_parallel", {}).get("autotp_size", 0) > 1 + if zero3_sharding or tp_sharding: + if model.zero_gather_16bit_weights_on_model_save(): + ver_min_required = "0.16.4" + if tp_sharding and not compare_versions("deepspeed", ">=", ver_min_required): + raise ImportError( + f"Deepspeed TP requires deepspeed>={ver_min_required}. Please update DeepSpeed via `pip install deepspeed -U`." + ) + state_dict = ( + model._consolidated_16bit_state_dict() + if tp_sharding + else model._zero3_consolidated_16bit_state_dict() + ) + else: + raise ValueError( + "Cannot get 16bit model weights because `stage3_gather_16bit_weights_on_model_save` in DeepSpeed config is False. " + "To save the model weights in 16bit, set `stage3_gather_16bit_weights_on_model_save` to True in DeepSpeed config file or " + "set `zero3_save_16bit_model` to True when using `accelerate config`. " + "To save the full checkpoint, run `model.save_checkpoint(save_dir)` and use `zero_to_fp32.py` to recover weights." + ) + else: + from deepspeed.checkpoint.utils import clone_tensors_for_torch_save + + state_dict = clone_tensors_for_torch_save(self.unwrap_model(model).state_dict()) + elif self.is_fsdp2: + from torch.distributed.checkpoint.state_dict import StateDictOptions, get_model_state_dict + + options = StateDictOptions(full_state_dict=True, broadcast_from_rank0=True, cpu_offload=True) + state_dict = get_model_state_dict(model, options=options) + elif self.distributed_type == DistributedType.FSDP: + from torch.distributed.fsdp import FullStateDictConfig, StateDictType + from torch.distributed.fsdp import FullyShardedDataParallel as FSDP + + full_state_dict_config = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) + with FSDP.state_dict_type(model, StateDictType.FULL_STATE_DICT, full_state_dict_config): + state_dict = model.state_dict() + else: + if unwrap: + model = self.unwrap_model(model) + state_dict = model.state_dict() + + return state_dict + + def register_for_checkpointing(self, *objects): + """ + Makes note of `objects` and will save or load them in during `save_state` or `load_state`. + + These should be utilized when the state is being loaded or saved in the same script. It is not designed to be + used in different scripts. + + + + Every `object` must have a `load_state_dict` and `state_dict` function to be stored. + + + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> # Assume `CustomObject` has a `state_dict` and `load_state_dict` function. + >>> obj = CustomObject() + >>> accelerator.register_for_checkpointing(obj) + >>> accelerator.save_state("checkpoint.pt") + ``` + """ + invalid_objects = [] + for obj in objects: + if not hasattr(obj, "state_dict") or not hasattr(obj, "load_state_dict"): + invalid_objects.append(obj) + if len(invalid_objects) > 0: + err = "All `objects` must include a `state_dict` and `load_state_dict` function to be stored. The following inputs are invalid:" + for index, obj in enumerate(invalid_objects): + err += f"\n\t- Item at index {index}, `{get_pretty_name(obj)}`" + raise ValueError(err) + self._custom_objects.extend(objects) + + @contextmanager + def maybe_context_parallel( + self, + buffers: list[torch.Tensor] | None = None, + buffer_seq_dims: list[int] | None = None, + no_restore_buffers: set[torch.Tensor] | None = None, + ): + """ + A context manager that enables context parallel training. + + Args: + buffers (`list[torch.Tensor]`, `optional`): + Buffers, which are going to be sharded along the sequence dimension. Common examples are inputs, labels + or positional embedding buffers. This context manager will modify these buffers in-place, and after + exiting the context, the buffers will be restored to their original state. To avoid unnecessary + restores, you can use `no_restore_buffers` to specify which buffers don't need to be restored. + buffer_seq_dims (`list[int]`, `optional`): + Sequence dimensions of `buffers`. + no_restore_buffers (`set[torch.Tensor]`, `optional`): + This set must be a subset of `buffers`. Specifies which buffers from `buffers` argument won't be + restored after the context exits. These buffers will be then kept in sharded state. + + + + `context_parallel` is currently supported with FSDP2 and requires `parallelism_config.cp_size` > + 1. If either of these conditions are not met, this context manager will have no effect, though to enable fewer + code changes it will not raise an Exception. + + + + + + This context manager has to be recreated with each training step, as shown in the example below. + + + + Example: + + ```python + >>> for batch in dataloader: + ... with accelerator.maybe_context_parallel( + ... buffers=[batch["input_ids"], batch["attention_mask"]], + ... buffer_seq_dims=[1, 1], + ... no_restore_buffers={batch["input_ids"]}, + ... ): + ... outputs = model(batch) + ... ... + ``` + """ + # We don't need to check FSDP2 as parallelism_config does that for us + # Invariant: in this branch self._cp_context is set, as it was set by `self._prepare_cp` + if ( + self.parallelism_config + and self.parallelism_config.cp_backend == "torch" + and self.parallelism_config.cp_enabled + ): + with self._cp_context( + buffers=buffers, buffer_seq_dims=buffer_seq_dims, no_restore_buffers=no_restore_buffers + ): + yield + else: + logger.warning_once( + "Context parallel training is not enabled. This context manager will have no effect. " + "To enable it, set `parallelism_config.cp_size` > 1 in the `Accelerator` constructor." + ) + yield + + @contextmanager + def autocast(self, autocast_handler: AutocastKwargs = None): + """ + Will apply automatic mixed-precision inside the block inside this context manager, if it is enabled. Nothing + different will happen otherwise. + + A different `autocast_handler` can be passed in to override the one set in the `Accelerator` object. This is + useful in blocks under `autocast` where you want to revert to fp32. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator(mixed_precision="fp16") + >>> with accelerator.autocast(): + ... train() + ``` + """ + if autocast_handler is None: + autocast_handler = self.autocast_handler + autocast_context = get_mixed_precision_context_manager(self.native_amp, autocast_handler) + with autocast_context: + yield + + @contextmanager + def profile(self, profile_handler: ProfileKwargs | None = None): + """ + Will profile the code inside the context manager. The profile will be saved to a Chrome Trace file if + `profile_handler.output_trace_dir` is set. + + A different `profile_handler` can be passed in to override the one set in the `Accelerator` object. + + Args: + profile_handler (`ProfileKwargs`, *optional*): + The profile handler to use for this context manager. If not passed, will use the one set in the + `Accelerator` object. + + Example: + + ```python + # Profile with default settings + from accelerate import Accelerator + from accelerate.utils import ProfileKwargs + + accelerator = Accelerator() + with accelerator.profile() as prof: + train() + accelerator.print(prof.key_averages().table()) + + + # Profile with the custom handler + def custom_handler(prof): + print(prof.key_averages().table(sort_by="self_cpu_time_total", row_limit=10)) + + + kwargs = ProfileKwargs(schedule_option=dict(wait=1, warmup=1, active=1), on_trace_ready=custom_handler) + accelerator = Accelerator(kwarg_handler=[kwargs]) + with accelerator.profile() as prof: + for _ in range(10): + train_iteration() + prof.step() + + + # Profile and export to Chrome Trace + kwargs = ProfileKwargs(output_trace_dir="output_trace") + accelerator = Accelerator(kwarg_handler=[kwargs]) + with accelerator.profile(): + train() + ``` + """ + profile_handler = profile_handler or self.profile_handler or ProfileKwargs() + + with profile_handler.build() as profiler: + yield profiler + + if profile_handler.output_trace_dir is None: + return + + os.makedirs(profile_handler.output_trace_dir, exist_ok=True) + profiler.export_chrome_trace( + os.path.join(profile_handler.output_trace_dir, PROFILE_PATTERN_NAME.format(suffix=self.process_index)) + ) + self.wait_for_everyone() + + @property + def optimizer_step_was_skipped(self): + """ + Whether or not the optimizer update was skipped (because of gradient overflow in mixed precision), in which + case the learning rate should not be changed. + """ + for optimizer in self._optimizers: + if optimizer.step_was_skipped: + return True + return False + + def skip_first_batches(self, dataloader, num_batches: int = 0): + """ + Creates a new `torch.utils.data.DataLoader` that will efficiently skip the first `num_batches`. + + Args: + dataloader (`torch.utils.data.DataLoader`): The data loader in which to skip batches. + num_batches (`int`, *optional*, defaults to 0): The number of batches to skip + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> dataloader, model, optimizer, scheduler = accelerator.prepare(dataloader, model, optimizer, scheduler) + >>> skipped_dataloader = accelerator.skip_first_batches(dataloader, num_batches=2) + >>> # for the first epoch only + >>> for input, target in skipped_dataloader: + ... optimizer.zero_grad() + ... output = model(input) + ... loss = loss_func(output, target) + ... accelerator.backward(loss) + ... optimizer.step() + + >>> # subsequent epochs + >>> for input, target in dataloader: + ... optimizer.zero_grad() + ... ... + ``` + """ + return skip_first_batches(dataloader, num_batches=num_batches) + + def __deepcopy__(self, memo): + logger.info("Deep copying the `Accelerator` object, note that this will point to the same original object.") + return self + + def verify_device_map(self, model: torch.nn.Module) -> bool: + """ + Verifies that `model` has not been prepared with big model inference with a device-map resembling `auto`. + """ + # Checks if any of the child modules has the attribute `hf_device_map` and this map has more than one entry. + for m in model.modules(): + if hasattr(m, "hf_device_map") and len(m.hf_device_map) > 1: + return True + + return False + + def lomo_backward(self, loss: torch.Tensor, learning_rate: float) -> None: + """ + Runs backward pass on LOMO optimizers. + """ + if is_lomo_available(): + # We need to import locally to avoid circular imports since lomo imports stuff from + # transformers & accelerate + from lomo_optim import AdaLomo, Lomo + + if learning_rate is None: + raise ValueError("A learning rate must be passed in order to call backward pass with LOMO optimizers.") + + _backward_called = False + + for optimizer in self._optimizers: + if isinstance(optimizer.optimizer, (Lomo, AdaLomo)): + optimizer.optimizer.fused_backward(loss, learning_rate) + _backward_called = True + + if not _backward_called: + raise ValueError( + "Backward pass not properly called on LOMO optimizers. Are you sure you passed a LOMO optimizer in accelerator.prepare()?" + ) + + @property + def fp8_backend(self) -> FP8BackendType: + "Returns the configured backend for training in FP8" + if self.has_fp8_handler: + if self.fp8_recipe_handler is not None: + return FP8BackendType(self.fp8_recipe_handler.backend) + elif self.ao_recipe_handler is not None: + return FP8BackendType.AO + elif self.te_recipe_handler is not None: + return FP8BackendType.TE + elif self.msamp_recipe_handler is not None: + return FP8BackendType.MSAMP + elif self.state.deepspeed_plugin is not None and self.state.deepspeed_plugin.enable_msamp: + return FP8BackendType.MSAMP + + return FP8BackendType(parse_choice_from_env("ACCELERATE_FP8_BACKEND", "NO")) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/big_modeling.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/big_modeling.py new file mode 100644 index 0000000000000000000000000000000000000000..aa77b09ed554459d28ec1a3a215853e662796a6d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/big_modeling.py @@ -0,0 +1,789 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +import os +import re +from contextlib import contextmanager +from functools import wraps +from typing import Optional, Union + +import torch +import torch.nn as nn + +from .hooks import ( + AlignDevicesHook, + CpuOffload, + LayerwiseCastingHook, + UserCpuOffloadHook, + add_hook_to_module, + attach_align_device_hook, + attach_align_device_hook_on_blocks, +) +from .utils import ( + OffloadedWeightsLoader, + check_cuda_p2p_ib_support, + check_device_map, + extract_submodules_state_dict, + find_tied_parameters, + get_balanced_memory, + infer_auto_device_map, + is_bnb_available, + is_mlu_available, + is_musa_available, + is_npu_available, + is_sdaa_available, + is_xpu_available, + load_checkpoint_in_model, + offload_state_dict, + parse_flag_from_env, + retie_parameters, +) +from .utils.constants import SUPPORTED_PYTORCH_LAYERS_FOR_UPCASTING +from .utils.other import recursive_getattr + + +logger = logging.getLogger(__name__) + + +@contextmanager +def init_empty_weights(include_buffers: Optional[bool] = None): + """ + A context manager under which models are initialized with all parameters on the meta device, therefore creating an + empty model. Useful when just initializing the model would blow the available RAM. + + Args: + include_buffers (`bool`, *optional*): + Whether or not to also put all buffers on the meta device while initializing. + + Example: + + ```python + import torch.nn as nn + from accelerate import init_empty_weights + + # Initialize a model with 100 billions parameters in no time and without using any RAM. + with init_empty_weights(): + tst = nn.Sequential(*[nn.Linear(10000, 10000) for _ in range(1000)]) + ``` + + + + Any model created under this context manager has no weights. As such you can't do something like + `model.to(some_device)` with it. To load weights inside your empty model, see [`load_checkpoint_and_dispatch`]. + Make sure to overwrite the default device_map param for [`load_checkpoint_and_dispatch`], otherwise dispatch is not + called. + + + """ + if include_buffers is None: + include_buffers = parse_flag_from_env("ACCELERATE_INIT_INCLUDE_BUFFERS", False) + with init_on_device(torch.device("meta"), include_buffers=include_buffers) as f: + yield f + + +@contextmanager +def init_on_device(device: torch.device, include_buffers: Optional[bool] = None): + """ + A context manager under which models are initialized with all parameters on the specified device. + + Args: + device (`torch.device`): + Device to initialize all parameters on. + include_buffers (`bool`, *optional*): + Whether or not to also put all buffers on the meta device while initializing. + + Example: + + ```python + import torch.nn as nn + from accelerate import init_on_device + + with init_on_device(device=torch.device("cuda")): + tst = nn.Linear(100, 100) # on `cuda` device + ``` + """ + if include_buffers is None: + include_buffers = parse_flag_from_env("ACCELERATE_INIT_INCLUDE_BUFFERS", False) + + if include_buffers: + with device: + yield + return + + old_register_parameter = nn.Module.register_parameter + if include_buffers: + old_register_buffer = nn.Module.register_buffer + + def register_empty_parameter(module, name, param): + old_register_parameter(module, name, param) + if param is not None: + param_cls = type(module._parameters[name]) + kwargs = module._parameters[name].__dict__ + kwargs["requires_grad"] = param.requires_grad + module._parameters[name] = param_cls(module._parameters[name].to(device), **kwargs) + + def register_empty_buffer(module, name, buffer, persistent=True): + old_register_buffer(module, name, buffer, persistent=persistent) + if buffer is not None: + module._buffers[name] = module._buffers[name].to(device) + + # Patch tensor creation + if include_buffers: + tensor_constructors_to_patch = { + torch_function_name: getattr(torch, torch_function_name) + for torch_function_name in ["empty", "zeros", "ones", "full"] + } + else: + tensor_constructors_to_patch = {} + + def patch_tensor_constructor(fn): + def wrapper(*args, **kwargs): + kwargs["device"] = device + return fn(*args, **kwargs) + + return wrapper + + try: + nn.Module.register_parameter = register_empty_parameter + if include_buffers: + nn.Module.register_buffer = register_empty_buffer + for torch_function_name in tensor_constructors_to_patch.keys(): + setattr(torch, torch_function_name, patch_tensor_constructor(getattr(torch, torch_function_name))) + yield + finally: + nn.Module.register_parameter = old_register_parameter + if include_buffers: + nn.Module.register_buffer = old_register_buffer + for torch_function_name, old_torch_function in tensor_constructors_to_patch.items(): + setattr(torch, torch_function_name, old_torch_function) + + +def cpu_offload( + model: nn.Module, + execution_device: Optional[torch.device] = None, + offload_buffers: bool = False, + state_dict: Optional[dict[str, torch.Tensor]] = None, + preload_module_classes: Optional[list[str]] = None, +): + """ + Activates full CPU offload for a model. As a result, all parameters of the model will be offloaded and only one + copy of the state dict of the model will be kept. During the forward pass, parameters will be extracted from that + state dict and put on the execution device passed as they are needed, then offloaded again. + + Args: + model (`torch.nn.Module`): + The model to offload. + execution_device (`torch.device`, *optional*): + The device on which the forward pass of the model will be executed (should be a GPU). Will default to the + model first parameter device. + offload_buffers (`bool`, *optional*, defaults to `False`): + Whether or not to offload the buffers with the model parameters. + state_dict (`Dict[str, torch.Tensor]`, *optional*): + The state dict of the model that will be kept on CPU. + preload_module_classes (`List[str]`, *optional*): + A list of classes whose instances should load all their weights (even in the submodules) at the beginning + of the forward. This should only be used for classes that have submodules which are registered but not + called directly during the forward, for instance if a `dense` linear layer is registered, but at forward, + `dense.weight` and `dense.bias` are used in some operations instead of calling `dense` directly. + """ + if execution_device is None: + execution_device = next(iter(model.parameters())).device + if state_dict is None: + state_dict = {n: p.to("cpu") for n, p in model.state_dict().items()} + + add_hook_to_module(model, AlignDevicesHook(io_same_device=True), append=True) + attach_align_device_hook( + model, + execution_device=execution_device, + offload=True, + offload_buffers=offload_buffers, + weights_map=state_dict, + preload_module_classes=preload_module_classes, + ) + + return model + + +def cpu_offload_with_hook( + model: torch.nn.Module, + execution_device: Optional[Union[int, str, torch.device]] = None, + prev_module_hook: Optional[UserCpuOffloadHook] = None, +): + """ + Offloads a model on the CPU and puts it back to an execution device when executed. The difference with + [`cpu_offload`] is that the model stays on the execution device after the forward and is only offloaded again when + the `offload` method of the returned `hook` is called. Useful for pipelines running a model in a loop. + + Args: + model (`torch.nn.Module`): + The model to offload. + execution_device(`str`, `int` or `torch.device`, *optional*): + The device on which the model should be executed. Will default to the MPS device if it's available, then + GPU 0 if there is a GPU, and finally to the CPU. + prev_module_hook (`UserCpuOffloadHook`, *optional*): + The hook sent back by this function for a previous model in the pipeline you are running. If passed, its + offload method will be called just before the forward of the model to which this hook is attached. + + Example: + + ```py + model_1, hook_1 = cpu_offload_with_hook(model_1, cuda_device) + model_2, hook_2 = cpu_offload_with_hook(model_2, cuda_device, prev_module_hook=hook_1) + model_3, hook_3 = cpu_offload_with_hook(model_3, cuda_device, prev_module_hook=hook_2) + + hid_1 = model_1(input) + for i in range(50): + # model1 is offloaded on the CPU at the first iteration, model 2 stays on the GPU for this whole loop. + hid_2 = model_2(hid_1) + # model2 is offloaded to the CPU just before this forward. + hid_3 = model_3(hid_3) + + # For model3, you need to manually call the hook offload method. + hook_3.offload() + ``` + """ + hook = CpuOffload(execution_device=execution_device, prev_module_hook=prev_module_hook) + add_hook_to_module(model, hook, append=True) + user_hook = UserCpuOffloadHook(model, hook) + return model, user_hook + + +def disk_offload( + model: nn.Module, + offload_dir: Union[str, os.PathLike], + execution_device: Optional[torch.device] = None, + offload_buffers: bool = False, + preload_module_classes: Optional[list[str]] = None, +): + """ + Activates full disk offload for a model. As a result, all parameters of the model will be offloaded as + memory-mapped array in a given folder. During the forward pass, parameters will be accessed from that folder and + put on the execution device passed as they are needed, then offloaded again. + + Args: + model (`torch.nn.Module`): The model to offload. + offload_dir (`str` or `os.PathLike`): + The folder in which to offload the model weights (or where the model weights are already offloaded). + execution_device (`torch.device`, *optional*): + The device on which the forward pass of the model will be executed (should be a GPU). Will default to the + model's first parameter device. + offload_buffers (`bool`, *optional*, defaults to `False`): + Whether or not to offload the buffers with the model parameters. + preload_module_classes (`List[str]`, *optional*): + A list of classes whose instances should load all their weights (even in the submodules) at the beginning + of the forward. This should only be used for classes that have submodules which are registered but not + called directly during the forward, for instance if a `dense` linear layer is registered, but at forward, + `dense.weight` and `dense.bias` are used in some operations instead of calling `dense` directly. + """ + if not os.path.isdir(offload_dir) or not os.path.isfile(os.path.join(offload_dir, "index.json")): + offload_state_dict(offload_dir, model.state_dict()) + if execution_device is None: + execution_device = next(iter(model.parameters())).device + weights_map = OffloadedWeightsLoader(save_folder=offload_dir) + + add_hook_to_module(model, AlignDevicesHook(io_same_device=True), append=True) + attach_align_device_hook( + model, + execution_device=execution_device, + offload=True, + offload_buffers=offload_buffers, + weights_map=weights_map, + preload_module_classes=preload_module_classes, + ) + + return model + + +def dispatch_model( + model: nn.Module, + device_map: dict[str, Union[str, int, torch.device]], + main_device: Optional[torch.device] = None, + state_dict: Optional[dict[str, torch.Tensor]] = None, + offload_dir: Optional[Union[str, os.PathLike]] = None, + offload_index: Optional[dict[str, str]] = None, + offload_buffers: bool = False, + skip_keys: Optional[Union[str, list[str]]] = None, + preload_module_classes: Optional[list[str]] = None, + force_hooks: bool = False, +): + """ + Dispatches a model according to a given device map. Layers of the model might be spread across GPUs, offloaded on + the CPU or even the disk. + + Args: + model (`torch.nn.Module`): + The model to dispatch. + device_map (`Dict[str, Union[str, int, torch.device]]`): + A dictionary mapping module names in the models `state_dict` to the device they should go to. Note that + `"disk"` is accepted even if it's not a proper value for `torch.device`. + main_device (`str`, `int` or `torch.device`, *optional*): + The main execution device. Will default to the first device in the `device_map` different from `"cpu"` or + `"disk"`. + state_dict (`Dict[str, torch.Tensor]`, *optional*): + The state dict of the part of the model that will be kept on CPU. + offload_dir (`str` or `os.PathLike`): + The folder in which to offload the model weights (or where the model weights are already offloaded). + offload_index (`Dict`, *optional*): + A dictionary from weight name to their information (`dtype`/ `shape` or safetensors filename). Will default + to the index saved in `save_folder`. + offload_buffers (`bool`, *optional*, defaults to `False`): + Whether or not to offload the buffers with the model parameters. + skip_keys (`str` or `List[str]`, *optional*): + A list of keys to ignore when moving inputs or outputs between devices. + preload_module_classes (`List[str]`, *optional*): + A list of classes whose instances should load all their weights (even in the submodules) at the beginning + of the forward. This should only be used for classes that have submodules which are registered but not + called directly during the forward, for instance if a `dense` linear layer is registered, but at forward, + `dense.weight` and `dense.bias` are used in some operations instead of calling `dense` directly. + force_hooks (`bool`, *optional*, defaults to `False`): + Whether or not to force device hooks to be attached to the model even if all layers are dispatched to a + single device. + """ + # Error early if the device map is incomplete. + check_device_map(model, device_map) + + # We need to force hook for quantized model that can't be moved with to() + if getattr(model, "quantization_method", "bitsandbytes") == "bitsandbytes": + # since bnb 0.43.2, we can move 4-bit model + if getattr(model, "is_loaded_in_8bit", False) or ( + getattr(model, "is_loaded_in_4bit", False) and not is_bnb_available(min_version="0.43.2") + ): + force_hooks = True + + # We attach hooks if the device_map has at least 2 different devices or if + # force_hooks is set to `True`. Otherwise, the model in already loaded + # in the unique device and the user can decide where to dispatch the model. + # If the model is quantized, we always force-dispatch the model + if (len(set(device_map.values())) > 1) or force_hooks: + if main_device is None: + if set(device_map.values()) == {"cpu"} or set(device_map.values()) == {"cpu", "disk"}: + main_device = "cpu" + else: + main_device = [d for d in device_map.values() if d not in ["cpu", "disk"]][0] + + if main_device != "cpu": + cpu_modules = [name for name, device in device_map.items() if device == "cpu"] + if state_dict is None and len(cpu_modules) > 0: + state_dict = extract_submodules_state_dict(model.state_dict(), cpu_modules) + + disk_modules = [name for name, device in device_map.items() if device == "disk"] + if offload_dir is None and offload_index is None and len(disk_modules) > 0: + raise ValueError( + "We need an `offload_dir` to dispatch this model according to this `device_map`, the following submodules " + f"need to be offloaded: {', '.join(disk_modules)}." + ) + if ( + len(disk_modules) > 0 + and offload_index is None + and (not os.path.isdir(offload_dir) or not os.path.isfile(os.path.join(offload_dir, "index.json"))) + ): + disk_state_dict = extract_submodules_state_dict(model.state_dict(), disk_modules) + offload_state_dict(offload_dir, disk_state_dict) + + execution_device = { + name: main_device if device in ["cpu", "disk"] else device for name, device in device_map.items() + } + execution_device[""] = main_device + offloaded_devices = ["disk"] if main_device == "cpu" or main_device == "mps" else ["cpu", "disk"] + offload = {name: device in offloaded_devices for name, device in device_map.items()} + save_folder = offload_dir if len(disk_modules) > 0 else None + if state_dict is not None or save_folder is not None or offload_index is not None: + device = main_device if offload_index is not None else None + weights_map = OffloadedWeightsLoader( + state_dict=state_dict, save_folder=save_folder, index=offload_index, device=device + ) + else: + weights_map = None + + # When dispatching the model's parameters to the devices specified in device_map, we want to avoid allocating memory several times for the + # tied parameters. The dictionary tied_params_map keeps track of the already allocated data for a given tied parameter (represented by its + # original pointer) on each devices. + tied_params = find_tied_parameters(model) + + tied_params_map = {} + for group in tied_params: + for param_name in group: + # data_ptr() is enough here, as `find_tied_parameters` finds tied params simply by comparing `param1 is param2`, so we don't need + # to care about views of tensors through storage_offset. + data_ptr = recursive_getattr(model, param_name).data_ptr() + tied_params_map[data_ptr] = {} + + # Note: To handle the disk offloading case, we can not simply use weights_map[param_name].data_ptr() as the reference pointer, + # as we have no guarantee that safetensors' `file.get_tensor()` will always give the same pointer. + + attach_align_device_hook_on_blocks( + model, + execution_device=execution_device, + offload=offload, + offload_buffers=offload_buffers, + weights_map=weights_map, + skip_keys=skip_keys, + preload_module_classes=preload_module_classes, + tied_params_map=tied_params_map, + ) + + # warn if there is any params on the meta device + offloaded_devices_str = " and ".join( + [device for device in set(device_map.values()) if device in ("cpu", "disk")] + ) + if len(offloaded_devices_str) > 0: + logger.warning( + f"Some parameters are on the meta device because they were offloaded to the {offloaded_devices_str}." + ) + + # Attaching the hook may break tied weights, so we retie them + retie_parameters(model, tied_params) + + # add warning to cuda and to method + def add_warning(fn, model): + @wraps(fn) + def wrapper(*args, **kwargs): + warning_msg = "You shouldn't move a model that is dispatched using accelerate hooks." + if str(fn.__name__) == "to": + to_device = torch._C._nn._parse_to(*args, **kwargs)[0] + if to_device is not None: + logger.warning(warning_msg) + else: + logger.warning(warning_msg) + for param in model.parameters(): + if param.device == torch.device("meta"): + raise RuntimeError("You can't move a model that has some modules offloaded to cpu or disk.") + return fn(*args, **kwargs) + + return wrapper + + # Make sure to update _accelerate_added_attributes in hooks.py if you add any hook + model.to = add_warning(model.to, model) + if is_npu_available(): + model.npu = add_warning(model.npu, model) + elif is_mlu_available(): + model.mlu = add_warning(model.mlu, model) + elif is_sdaa_available(): + model.sdaa = add_warning(model.sdaa, model) + elif is_musa_available(): + model.musa = add_warning(model.musa, model) + elif is_xpu_available(): + model.xpu = add_warning(model.xpu, model) + else: + model.cuda = add_warning(model.cuda, model) + + # Check if we are using multi-gpus with RTX 4000 series + use_multi_gpu = len([device for device in set(device_map.values()) if device not in ("cpu", "disk")]) > 1 + if use_multi_gpu and not check_cuda_p2p_ib_support(): + logger.warning( + "We've detected an older driver with an RTX 4000 series GPU. These drivers have issues with P2P. " + "This can affect the multi-gpu inference when using accelerate device_map." + "Please make sure to update your driver to the latest version which resolves this." + ) + else: + device = list(device_map.values())[0] + # `torch.Tensor.to()` is not supported by `torch_npu` (see this [issue](https://github.com/Ascend/pytorch/issues/16)). + if is_npu_available() and isinstance(device, int): + device = f"npu:{device}" + elif is_mlu_available() and isinstance(device, int): + device = f"mlu:{device}" + elif is_sdaa_available() and isinstance(device, int): + device = f"sdaa:{device}" + elif is_musa_available() and isinstance(device, int): + device = f"musa:{device}" + if device != "disk": + model.to(device) + else: + raise ValueError( + "You are trying to offload the whole model to the disk. Please use the `disk_offload` function instead." + ) + # Convert OrderedDict back to dict for easier usage + model.hf_device_map = dict(device_map) + return model + + +def load_checkpoint_and_dispatch( + model: nn.Module, + checkpoint: Union[str, os.PathLike], + device_map: Optional[Union[str, dict[str, Union[int, str, torch.device]]]] = None, + max_memory: Optional[dict[Union[int, str], Union[int, str]]] = None, + no_split_module_classes: Optional[list[str]] = None, + offload_folder: Optional[Union[str, os.PathLike]] = None, + offload_buffers: bool = False, + dtype: Optional[Union[str, torch.dtype]] = None, + offload_state_dict: Optional[bool] = None, + skip_keys: Optional[Union[str, list[str]]] = None, + preload_module_classes: Optional[list[str]] = None, + force_hooks: bool = False, + strict: bool = False, + full_state_dict: bool = True, + broadcast_from_rank0: bool = False, +): + """ + Loads a (potentially sharded) checkpoint inside a model, potentially sending weights to a given device as they are + loaded and adds the various hooks that will make this model run properly (even if split across devices). + + Args: + model (`torch.nn.Module`): The model in which we want to load a checkpoint. + checkpoint (`str` or `os.PathLike`): + The folder checkpoint to load. It can be: + - a path to a file containing a whole model state dict + - a path to a `.json` file containing the index to a sharded checkpoint + - a path to a folder containing a unique `.index.json` file and the shards of a checkpoint. + device_map (`Dict[str, Union[int, str, torch.device]]`, *optional*): + A map that specifies where each submodule should go. It doesn't need to be refined to each parameter/buffer + name, once a given module name is inside, every submodule of it will be sent to the same device. + + To have Accelerate compute the most optimized `device_map` automatically, set `device_map="auto"`. For more + information about each option see [here](../concept_guides/big_model_inference#designing-a-device-map). + Defaults to None, which means [`dispatch_model`] will not be called. + max_memory (`Dict`, *optional*): + A dictionary device identifier to maximum memory. Will default to the maximum memory available for each GPU + and the available CPU RAM if unset. + no_split_module_classes (`List[str]`, *optional*): + A list of layer class names that should never be split across device (for instance any layer that has a + residual connection). + offload_folder (`str` or `os.PathLike`, *optional*): + If the `device_map` contains any value `"disk"`, the folder where we will offload weights. + offload_buffers (`bool`, *optional*, defaults to `False`): + In the layers that are offloaded on the CPU or the hard drive, whether or not to offload the buffers as + well as the parameters. + dtype (`str` or `torch.dtype`, *optional*): + If provided, the weights will be converted to that type when loaded. + offload_state_dict (`bool`, *optional*): + If `True`, will temporarily offload the CPU state dict on the hard drive to avoid getting out of CPU RAM if + the weight of the CPU state dict + the biggest shard does not fit. Will default to `True` if the device map + picked contains `"disk"` values. + skip_keys (`str` or `List[str]`, *optional*): + A list of keys to ignore when moving inputs or outputs between devices. + preload_module_classes (`List[str]`, *optional*): + A list of classes whose instances should load all their weights (even in the submodules) at the beginning + of the forward. This should only be used for classes that have submodules which are registered but not + called directly during the forward, for instance if a `dense` linear layer is registered, but at forward, + `dense.weight` and `dense.bias` are used in some operations instead of calling `dense` directly. + force_hooks (`bool`, *optional*, defaults to `False`): + Whether or not to force device hooks to be attached to the model even if all layers are dispatched to a + single device. + strict (`bool`, *optional*, defaults to `False`): + Whether to strictly enforce that the keys in the checkpoint state_dict match the keys of the model's + state_dict. + full_state_dict (`bool`, *optional*, defaults to `True`): if this is set to `True`, all the tensors in the + loaded state_dict will be gathered. No ShardedTensor and DTensor will be in the loaded state_dict. + broadcast_from_rank0 (`False`, *optional*, defaults to `False`): when the option is `True`, a distributed + `ProcessGroup` must be initialized. rank0 should receive a full state_dict and will broadcast the tensors + in the state_dict one by one to other ranks. Other ranks will receive the tensors and shard (if applicable) + according to the local shards in the model. + + Example: + + ```python + >>> from accelerate import init_empty_weights, load_checkpoint_and_dispatch + >>> from huggingface_hub import hf_hub_download + >>> from transformers import AutoConfig, AutoModelForCausalLM + + >>> # Download the Weights + >>> checkpoint = "EleutherAI/gpt-j-6B" + >>> weights_location = hf_hub_download(checkpoint, "pytorch_model.bin") + + >>> # Create a model and initialize it with empty weights + >>> config = AutoConfig.from_pretrained(checkpoint) + >>> with init_empty_weights(): + ... model = AutoModelForCausalLM.from_config(config) + + >>> # Load the checkpoint and dispatch it to the right devices + >>> model = load_checkpoint_and_dispatch( + ... model, weights_location, device_map="auto", no_split_module_classes=["GPTJBlock"] + ... ) + ``` + """ + if isinstance(device_map, str) and device_map not in ["auto", "balanced", "balanced_low_0", "sequential"]: + raise ValueError( + "If passing a string for `device_map`, please choose 'auto', 'balanced', 'balanced_low_0' or 'sequential'." + ) + if isinstance(device_map, str): + if device_map != "sequential": + max_memory = get_balanced_memory( + model, + max_memory=max_memory, + no_split_module_classes=no_split_module_classes, + dtype=dtype, + low_zero=(device_map == "balanced_low_0"), + ) + device_map = infer_auto_device_map( + model, + max_memory=max_memory, + no_split_module_classes=no_split_module_classes, + dtype=dtype, + offload_buffers=offload_buffers, + ) + if offload_state_dict is None and device_map is not None and "disk" in device_map.values(): + offload_state_dict = True + load_checkpoint_in_model( + model, + checkpoint, + device_map=device_map, + offload_folder=offload_folder, + dtype=dtype, + offload_state_dict=offload_state_dict, + offload_buffers=offload_buffers, + strict=strict, + full_state_dict=full_state_dict, + broadcast_from_rank0=broadcast_from_rank0, + ) + if device_map is None: + return model + return dispatch_model( + model, + device_map=device_map, + offload_dir=offload_folder, + offload_buffers=offload_buffers, + skip_keys=skip_keys, + preload_module_classes=preload_module_classes, + force_hooks=force_hooks, + ) + + +def attach_layerwise_casting_hooks( + module: torch.nn.Module, + storage_dtype: torch.dtype, + compute_dtype: torch.dtype, + skip_modules_pattern: Optional[Union[str, tuple[str, ...]]] = None, + skip_modules_classes: Optional[tuple[type[torch.nn.Module], ...]] = None, + non_blocking: bool = False, +) -> None: + r""" + Applies layerwise casting to a given module. The module expected here is a PyTorch `nn.Module`. This is helpful for + reducing memory requirements when one doesn't want to fully quantize a model. Model params can be kept in say, + `torch.float8_e4m3fn` and upcasted to a higher precision like `torch.bfloat16` during forward pass and downcasted + back to `torch.float8_e4m3fn` to realize memory savings. + + Args: + module (`torch.nn.Module`): + The module whose leaf modules will be cast to a high precision dtype for computation, and to a low + precision dtype for storage. + storage_dtype (`torch.dtype`): + The dtype to cast the module to before/after the forward pass for storage. + compute_dtype (`torch.dtype`): + The dtype to cast the module to during the forward pass for computation. + skip_modules_pattern (`tuple[str, ...]`, defaults to `None`): + A list of patterns to match the names of the modules to skip during the layerwise casting process. If set + to `None` alongside `skip_modules_classes` being `None`, the layerwise casting is applied directly to the + module instead of its internal submodules. + skip_modules_classes (`tuple[type[torch.nn.Module], ...]`, defaults to `None`): + A list of module classes to skip during the layerwise casting process. + non_blocking (`bool`, defaults to `False`): + If `True`, the weight casting operations are non-blocking. + + Example: + + ```python + >>> from accelerate.hooks import attach_layerwise_casting_hooks + >>> from transformers import AutoModelForCausalLM + >>> import torch + + >>> # Model + >>> checkpoint = "EleutherAI/gpt-j-6B" + >>> model = AutoModelForCausalLM.from_pretrained(checkpoint) + + >>> # Attach hooks and perform inference + >>> attach_layerwise_casting_hooks(model, storage_dtype=torch.float8_e4m3fn, compute_dtype=torch.bfloat16) + >>> with torch.no_grad(): + ... model(...) + ``` + + Users can also pass modules they want to avoid from getting downcasted. + + ```py + >>> attach_layerwise_casting_hooks( + ... model, storage_dtype=torch.float8_e4m3fn, compute_dtype=torch.bfloat16, skip_modules_pattern=["norm"] + ... ) + ``` + """ + _attach_layerwise_casting_hooks( + module, storage_dtype, compute_dtype, skip_modules_pattern, skip_modules_classes, non_blocking + ) + + +def _attach_layerwise_casting_hooks( + module: torch.nn.Module, + storage_dtype: torch.dtype, + compute_dtype: torch.dtype, + skip_modules_pattern: Optional[Union[str, tuple[str, ...]]] = None, + skip_modules_classes: Optional[tuple[type[torch.nn.Module], ...]] = None, + non_blocking: bool = False, + _prefix: str = "", +): + should_skip = (skip_modules_classes is not None and isinstance(module, skip_modules_classes)) or ( + skip_modules_pattern is not None and any(re.search(pattern, _prefix) for pattern in skip_modules_pattern) + ) + if should_skip: + logger.debug(f'Skipping layerwise casting for layer "{_prefix}"') + return + + if isinstance(module, SUPPORTED_PYTORCH_LAYERS_FOR_UPCASTING): + logger.debug(f'Applying layerwise casting to layer "{_prefix}"') + add_hook_to_module( + module, + LayerwiseCastingHook(storage_dtype=storage_dtype, compute_dtype=compute_dtype, non_blocking=non_blocking), + append=True, + ) + return + + for name, submodule in module.named_children(): + layer_name = f"{_prefix}.{name}" if _prefix else name + _attach_layerwise_casting_hooks( + submodule, + storage_dtype, + compute_dtype, + skip_modules_pattern, + skip_modules_classes, + non_blocking, + _prefix=layer_name, + ) + + +def _attach_context_parallel_hooks( + model: nn.Module, +): + """ + Monkeypatch huggingface's `transformers` model to fix attention mask issues when using context parallelism. + + This function attaches forward_pre_hooks to each self_attn module of the model, where each hook checks the + args/kwargs, if they contain an attention mask, if it does, it will remove this mask, check if it is a causal mask, + if yes, will add a kwarg `is_causal=True`, otherwise will raise an error. This is because context parallelism does + not support attention masks. This function modifies the model in place. + + Args: + model (`nn.Module`): + The model to attach the hooks to. + + """ + + def _self_attn_pre_forward_hook(_module, module_args, module_kwargs): + if "attention_mask" in module_kwargs: + module_kwargs["attention_mask"] = None + module_kwargs["is_causal"] = True + + return module_args, module_kwargs + + for name, module in model.named_modules(): + # We hope (assume) that if user uses their own model (without this structure which transformers uses), they read the docs saying they can't pass in attention masks + # Then these cases can happen: + # 1) some modules end with a `self-attn` module, in which case we attach the hook, but the + # there's no attention mask kwarg -> hook is a no-op + # 2) some modules end with a `self-attn` module, in which case we attach the hook, and the + # attention mask kwarg is passed -> hook will remove the attention mask and add + # `is_causal=True` kwarg, which either crashes the training or fixes it + # (training would crash anyway as attention mask isn't supported) + # 3) no modules end with a `self-attn` module, in which case we don't attach the hook, this is + # a no-op as well + if name.endswith("self_attn"): + # we want the hook to be executed first, to avoid any other hooks doing work on the attention mask + module.register_forward_pre_hook(_self_attn_pre_forward_hook, with_kwargs=True, prepend=True) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/checkpointing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/checkpointing.py new file mode 100644 index 0000000000000000000000000000000000000000..57e58300a6f579451f79cf8bd0c26cbbb65de04c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/checkpointing.py @@ -0,0 +1,331 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import random +from pathlib import Path +from typing import Optional + +import numpy as np +import torch +from safetensors.torch import load_model + +from .utils import ( + MODEL_NAME, + OPTIMIZER_NAME, + RNG_STATE_NAME, + SAFE_MODEL_NAME, + SAFE_WEIGHTS_NAME, + SAMPLER_NAME, + SCALER_NAME, + SCHEDULER_NAME, + WEIGHTS_NAME, + get_pretty_name, + is_cuda_available, + is_hpu_available, + is_mlu_available, + is_musa_available, + is_sdaa_available, + is_torch_version, + is_torch_xla_available, + is_xpu_available, + load, + save, +) + + +if is_torch_version(">=", "2.4.0"): + from torch.amp import GradScaler +else: + from torch.cuda.amp import GradScaler + +if is_torch_xla_available(): + import torch_xla.core.xla_model as xm + +from .logging import get_logger +from .state import PartialState + + +logger = get_logger(__name__) + + +def save_accelerator_state( + output_dir: str, + model_states: list[dict], + optimizers: list, + schedulers: list, + dataloaders: list, + process_index: int, + step: int, + scaler: Optional[GradScaler] = None, + save_on_each_node: bool = False, + safe_serialization: bool = True, +): + """ + Saves the current states of the models, optimizers, scaler, and RNG generators to a given directory. + + + + If `safe_serialization` is `True`, models will be saved with `safetensors` while the rest are saved using native + `pickle`. + + + + Args: + output_dir (`str` or `os.PathLike`): + The name of the folder to save all relevant weights and states. + model_states (`List[torch.nn.Module]`): + A list of model states + optimizers (`List[torch.optim.Optimizer]`): + A list of optimizer instances + schedulers (`List[torch.optim.lr_scheduler._LRScheduler]`): + A list of learning rate schedulers + dataloaders (`List[torch.utils.data.DataLoader]`): + A list of dataloader instances to save their sampler states + process_index (`int`): + The current process index in the Accelerator state + step (`int`): + The current step in the internal step tracker + scaler (`torch.amp.GradScaler`, *optional*): + An optional gradient scaler instance to save; + save_on_each_node (`bool`, *optional*): + Whether to save on every node, or only the main node. + safe_serialization (`bool`, *optional*, defaults to `True`): + Whether to save the model using `safetensors` or the traditional PyTorch way (that uses `pickle`). + """ + output_dir = Path(output_dir) + # Model states + for i, state in enumerate(model_states): + weights_name = WEIGHTS_NAME if not safe_serialization else SAFE_WEIGHTS_NAME + if i > 0: + weights_name = weights_name.replace(".", f"_{i}.") + output_model_file = output_dir.joinpath(weights_name) + save(state, output_model_file, save_on_each_node=save_on_each_node, safe_serialization=safe_serialization) + logger.info(f"Model weights saved in {output_model_file}") + # Optimizer states + for i, opt in enumerate(optimizers): + state = opt.state_dict() + optimizer_name = f"{OPTIMIZER_NAME}.bin" if i == 0 else f"{OPTIMIZER_NAME}_{i}.bin" + output_optimizer_file = output_dir.joinpath(optimizer_name) + save(state, output_optimizer_file, save_on_each_node=save_on_each_node, safe_serialization=False) + logger.info(f"Optimizer state saved in {output_optimizer_file}") + # Scheduler states + for i, scheduler in enumerate(schedulers): + state = scheduler.state_dict() + scheduler_name = f"{SCHEDULER_NAME}.bin" if i == 0 else f"{SCHEDULER_NAME}_{i}.bin" + output_scheduler_file = output_dir.joinpath(scheduler_name) + save(state, output_scheduler_file, save_on_each_node=save_on_each_node, safe_serialization=False) + logger.info(f"Scheduler state saved in {output_scheduler_file}") + # DataLoader states + for i, dataloader in enumerate(dataloaders): + sampler_name = f"{SAMPLER_NAME}.bin" if i == 0 else f"{SAMPLER_NAME}_{i}.bin" + output_sampler_file = output_dir.joinpath(sampler_name) + # Only save if we have our custom sampler + from .data_loader import IterableDatasetShard, SeedableRandomSampler + + if isinstance(dataloader.dataset, IterableDatasetShard): + sampler = dataloader.get_sampler() + if isinstance(sampler, SeedableRandomSampler): + save(sampler, output_sampler_file, save_on_each_node=save_on_each_node, safe_serialization=False) + if getattr(dataloader, "use_stateful_dataloader", False): + dataloader_state_dict_name = "dl_state_dict.bin" if i == 0 else f"dl_state_dict_{i}.bin" + output_dataloader_state_dict_file = output_dir.joinpath(dataloader_state_dict_name) + state_dict = dataloader.state_dict() + torch.save(state_dict, output_dataloader_state_dict_file) + logger.info(f"Sampler state for dataloader {i} saved in {output_sampler_file}") + + # GradScaler state + if scaler is not None: + state = scaler.state_dict() + output_scaler_file = output_dir.joinpath(SCALER_NAME) + torch.save(state, output_scaler_file) + logger.info(f"Gradient scaler state saved in {output_scaler_file}") + # Random number generator states + states = {} + states_name = f"{RNG_STATE_NAME}_{process_index}.pkl" + states["step"] = step + states["random_state"] = random.getstate() + states["numpy_random_seed"] = np.random.get_state() + states["torch_manual_seed"] = torch.get_rng_state() + if is_xpu_available(): + states["torch_xpu_manual_seed"] = torch.xpu.get_rng_state_all() + if is_mlu_available(): + states["torch_mlu_manual_seed"] = torch.mlu.get_rng_state_all() + elif is_sdaa_available(): + states["torch_sdaa_manual_seed"] = torch.sdaa.get_rng_state_all() + elif is_musa_available(): + states["torch_musa_manual_seed"] = torch.musa.get_rng_state_all() + if is_hpu_available(): + states["torch_hpu_manual_seed"] = torch.hpu.get_rng_state_all() + if is_cuda_available(): + states["torch_cuda_manual_seed"] = torch.cuda.get_rng_state_all() + if is_torch_xla_available(): + states["xm_seed"] = xm.get_rng_state() + output_states_file = output_dir.joinpath(states_name) + torch.save(states, output_states_file) + logger.info(f"Random states saved in {output_states_file}") + return output_dir + + +def load_accelerator_state( + input_dir, + models, + optimizers, + schedulers, + dataloaders, + process_index, + scaler=None, + map_location=None, + load_kwargs=None, + **load_model_func_kwargs, +): + """ + Loads states of the models, optimizers, scaler, and RNG generators from a given directory. + + Args: + input_dir (`str` or `os.PathLike`): + The name of the folder to load all relevant weights and states. + models (`List[torch.nn.Module]`): + A list of model instances + optimizers (`List[torch.optim.Optimizer]`): + A list of optimizer instances + schedulers (`List[torch.optim.lr_scheduler._LRScheduler]`): + A list of learning rate schedulers + process_index (`int`): + The current process index in the Accelerator state + scaler (`torch.amp.GradScaler`, *optional*): + An optional *GradScaler* instance to load + map_location (`str`, *optional*): + What device to load the optimizer state onto. Should be one of either "cpu" or "on_device". + load_kwargs (`dict`, *optional*): + Additional arguments that can be passed to the `load` function. + load_model_func_kwargs (`dict`, *optional*): + Additional arguments that can be passed to the model's `load_state_dict` method. + + Returns: + `dict`: Contains the `Accelerator` attributes to override while loading the state. + """ + # stores the `Accelerator` attributes to override + override_attributes = dict() + if map_location not in [None, "cpu", "on_device"]: + raise TypeError( + "Unsupported optimizer map location passed, please choose one of `None`, `'cpu'`, or `'on_device'`" + ) + if map_location is None: + map_location = "cpu" + elif map_location == "on_device": + map_location = PartialState().device + + if load_kwargs is None: + load_kwargs = {} + + input_dir = Path(input_dir) + # Model states + for i, model in enumerate(models): + ending = f"_{i}" if i > 0 else "" + input_model_file = input_dir.joinpath(f"{SAFE_MODEL_NAME}{ending}.safetensors") + if input_model_file.exists(): + load_model(model, input_model_file, device=str(map_location), **load_model_func_kwargs) + else: + # Load with torch + input_model_file = input_dir.joinpath(f"{MODEL_NAME}{ending}.bin") + state_dict = load(input_model_file, map_location=map_location) + model.load_state_dict(state_dict, **load_model_func_kwargs) + logger.info("All model weights loaded successfully") + + # Optimizer states + for i, opt in enumerate(optimizers): + optimizer_name = f"{OPTIMIZER_NAME}.bin" if i == 0 else f"{OPTIMIZER_NAME}_{i}.bin" + input_optimizer_file = input_dir.joinpath(optimizer_name) + optimizer_state = load(input_optimizer_file, map_location=map_location, **load_kwargs) + optimizers[i].load_state_dict(optimizer_state) + logger.info("All optimizer states loaded successfully") + + # Scheduler states + for i, scheduler in enumerate(schedulers): + scheduler_name = f"{SCHEDULER_NAME}.bin" if i == 0 else f"{SCHEDULER_NAME}_{i}.bin" + input_scheduler_file = input_dir.joinpath(scheduler_name) + scheduler_state = load(input_scheduler_file, **load_kwargs) + scheduler.load_state_dict(scheduler_state) + logger.info("All scheduler states loaded successfully") + + for i, dataloader in enumerate(dataloaders): + sampler_name = f"{SAMPLER_NAME}.bin" if i == 0 else f"{SAMPLER_NAME}_{i}.bin" + input_sampler_file = input_dir.joinpath(sampler_name) + # Only load if we have our custom sampler + from .data_loader import IterableDatasetShard, SeedableRandomSampler + + if isinstance(dataloader.dataset, IterableDatasetShard): + sampler = dataloader.get_sampler() + if isinstance(sampler, SeedableRandomSampler): + sampler = dataloader.set_sampler(load(input_sampler_file)) + if getattr(dataloader, "use_stateful_dataloader", False): + dataloader_state_dict_name = "dl_state_dict.bin" if i == 0 else f"dl_state_dict_{i}.bin" + input_dataloader_state_dict_file = input_dir.joinpath(dataloader_state_dict_name) + if input_dataloader_state_dict_file.exists(): + state_dict = load(input_dataloader_state_dict_file, **load_kwargs) + dataloader.load_state_dict(state_dict) + logger.info("All dataloader sampler states loaded successfully") + + # GradScaler state + if scaler is not None: + input_scaler_file = input_dir.joinpath(SCALER_NAME) + scaler_state = load(input_scaler_file) + scaler.load_state_dict(scaler_state) + logger.info("GradScaler state loaded successfully") + + # Random states + try: + states = load(input_dir.joinpath(f"{RNG_STATE_NAME}_{process_index}.pkl")) + if "step" in states: + override_attributes["step"] = states["step"] + random.setstate(states["random_state"]) + np.random.set_state(states["numpy_random_seed"]) + torch.set_rng_state(states["torch_manual_seed"]) + if is_xpu_available(): + torch.xpu.set_rng_state_all(states["torch_xpu_manual_seed"]) + if is_mlu_available(): + torch.mlu.set_rng_state_all(states["torch_mlu_manual_seed"]) + elif is_sdaa_available(): + torch.sdaa.set_rng_state_all(states["torch_sdaa_manual_seed"]) + elif is_musa_available(): + torch.musa.set_rng_state_all(states["torch_musa_manual_seed"]) + else: + torch.cuda.set_rng_state_all(states["torch_cuda_manual_seed"]) + if is_torch_xla_available(): + xm.set_rng_state(states["xm_seed"]) + logger.info("All random states loaded successfully") + except Exception: + logger.info("Could not load random states") + + return override_attributes + + +def save_custom_state(obj, path, index: int = 0, save_on_each_node: bool = False): + """ + Saves the state of `obj` to `{path}/custom_checkpoint_{index}.pkl` + """ + # Should this be the right way to get a qual_name type value from `obj`? + save_location = Path(path) / f"custom_checkpoint_{index}.pkl" + logger.info(f"Saving the state of {get_pretty_name(obj)} to {save_location}") + save(obj.state_dict(), save_location, save_on_each_node=save_on_each_node) + + +def load_custom_state(obj, path, index: int = 0): + """ + Loads the state of `obj` at `{path}/custom_checkpoint_{index}.pkl`. Will always set `weights_only=False` when + loading the state. + """ + load_location = f"{path}/custom_checkpoint_{index}.pkl" + logger.info(f"Loading the state of {get_pretty_name(obj)} from {load_location}") + obj.load_state_dict(load(load_location, map_location="cpu", weights_only=False)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c9cbe26c257b515f657c05e1996d517e69613972 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2020 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/accelerate_cli.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/accelerate_cli.py new file mode 100644 index 0000000000000000000000000000000000000000..b878c8debd874e1418b946775b11568c7487ad72 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/accelerate_cli.py @@ -0,0 +1,54 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from accelerate.commands.config import get_config_parser +from accelerate.commands.env import env_command_parser +from accelerate.commands.estimate import estimate_command_parser +from accelerate.commands.launch import launch_command_parser +from accelerate.commands.merge import merge_command_parser +from accelerate.commands.test import test_command_parser +from accelerate.commands.to_fsdp2 import to_fsdp2_command_parser +from accelerate.commands.tpu import tpu_command_parser +from accelerate.commands.utils import CustomArgumentParser + + +def main(): + parser = CustomArgumentParser("Accelerate CLI tool", usage="accelerate []", allow_abbrev=False) + subparsers = parser.add_subparsers(help="accelerate command helpers") + + # Register commands + get_config_parser(subparsers=subparsers) + estimate_command_parser(subparsers=subparsers) + env_command_parser(subparsers=subparsers) + launch_command_parser(subparsers=subparsers) + merge_command_parser(subparsers=subparsers) + tpu_command_parser(subparsers=subparsers) + test_command_parser(subparsers=subparsers) + to_fsdp2_command_parser(subparsers=subparsers) + + # Let's go + args = parser.parse_args() + + if not hasattr(args, "func"): + parser.print_help() + exit(1) + + # Run + args.func(args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..649a15888cccd070b3d4ca9a600457c6ad59d4d3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/__init__.py @@ -0,0 +1,52 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse + +from .config import config_command_parser +from .config_args import default_config_file, load_config_from_file # noqa: F401 +from .default import default_command_parser +from .update import update_command_parser + + +def get_config_parser(subparsers=None): + parent_parser = argparse.ArgumentParser(add_help=False, allow_abbrev=False) + # The main config parser + config_parser = config_command_parser(subparsers) + # The subparser to add commands to + subcommands = config_parser.add_subparsers(title="subcommands", dest="subcommand") + + # Then add other parsers with the parent parser + default_command_parser(subcommands, parents=[parent_parser]) + update_command_parser(subcommands, parents=[parent_parser]) + + return config_parser + + +def main(): + config_parser = get_config_parser() + args = config_parser.parse_args() + + if not hasattr(args, "func"): + config_parser.print_help() + exit(1) + + # Run + args.func(args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/cluster.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/cluster.py new file mode 100644 index 0000000000000000000000000000000000000000..e466ba8048beb2b024e5903552a4f2de2416f86c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/cluster.py @@ -0,0 +1,917 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os + +from ...utils import ( + ComputeEnvironment, + DistributedType, + is_deepspeed_available, + is_fp8_available, + is_hpu_available, + is_mlu_available, + is_mps_available, + is_msamp_available, + is_musa_available, + is_npu_available, + is_sdaa_available, + is_transformer_engine_available, + is_transformers_available, + is_xpu_available, +) +from ...utils.constants import ( + DEEPSPEED_MULTINODE_LAUNCHERS, + FSDP2_STATE_DICT_TYPE, + FSDP_AUTO_WRAP_POLICY, + FSDP_BACKWARD_PREFETCH, + FSDP_SHARDING_STRATEGY, + FSDP_STATE_DICT_TYPE, + TORCH_DYNAMO_MODES, +) +from .config_args import ClusterConfig +from .config_utils import ( + DYNAMO_BACKENDS, + _ask_field, + _ask_options, + _convert_distributed_mode, + _convert_dynamo_backend, + _convert_fp8_backend, + _convert_mixed_precision, + _convert_yes_no_to_bool, +) + + +def get_cluster_input(): + distributed_type = _ask_options( + "Which type of machine are you using?", + [ + "No distributed training", + "multi-CPU", + "multi-XPU", + "multi-HPU", + "multi-GPU", + "multi-NPU", + "multi-MLU", + "multi-SDAA", + "multi-MUSA", + "TPU", + ], + _convert_distributed_mode, + ) + + machine_rank = 0 + num_machines = 1 + num_processes = 1 + gpu_ids = None + main_process_ip = None + main_process_port = None + rdzv_backend = "static" + same_network = True + debug = False + + if distributed_type in [ + DistributedType.MULTI_GPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_NPU, + DistributedType.MULTI_XPU, + DistributedType.MULTI_CPU, + DistributedType.MULTI_HPU, + ]: + num_machines = _ask_field( + "How many different machines will you use (use more than 1 for multi-node training)? [1]: ", + int, + default=1, + ) + if num_machines > 1: + machine_rank = _ask_options( + "What is the rank of this machine?", + list(range(num_machines)), + int, + ) + main_process_ip = _ask_field( + "What is the IP address of the machine that will host the main process? ", + ) + main_process_port = _ask_field( + "What is the port you will use to communicate with the main process? ", + int, + ) + same_network = _ask_field( + "Are all the machines on the same local network? Answer `no` if nodes are on the cloud and/or on different network hosts [YES/no]: ", + _convert_yes_no_to_bool, + default=True, + error_message="Please enter yes or no.", + ) + if not same_network: + rdzv_backend = _ask_field( + "What rendezvous backend will you use? ('static', 'c10d', ...): ", default="static" + ) + debug = _ask_field( + "Should distributed operations be checked while running for errors? This can avoid timeout issues but will be slower. [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + if distributed_type == DistributedType.NO: + use_cpu = _ask_field( + "Do you want to run your training on CPU only (even if a GPU / Apple Silicon / Ascend NPU device is available)? [yes/NO]:", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + elif distributed_type == DistributedType.MULTI_CPU: + use_cpu = True + else: + use_cpu = False + + ipex_config = {} + mpirun_config = {} + if use_cpu or is_xpu_available(): + ipex_config["ipex"] = _ask_field( + "Do you want to use Intel PyTorch Extension (IPEX) to speed up training on CPU/XPU? [yes/NO]:", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + if use_cpu: + if distributed_type == DistributedType.MULTI_CPU: + use_mpirun = _ask_field( + "Do you want accelerate to launch mpirun? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if use_mpirun: + mpirun_hostfile = _ask_field( + "Please enter the path to the hostfile to use with mpirun [~/hostfile]: ", + str, + default="~/hostfile", + ) + mpirun_config["mpirun_hostfile"] = os.path.expanduser(mpirun_hostfile.strip()) + mpirun_config["mpirun_ccl"] = _ask_field("Enter the number of oneCCL worker threads [1]: ", default=1) + + dynamo_config = {} + use_dynamo = _ask_field( + "Do you wish to optimize your script with torch dynamo?[yes/NO]:", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if use_dynamo: + prefix = "dynamo_" + dynamo_config[prefix + "backend"] = _ask_options( + "Which dynamo backend would you like to use?", + [x.lower() for x in DYNAMO_BACKENDS], + _convert_dynamo_backend, + default=2, + ) + use_custom_options = _ask_field( + "Do you want to customize the defaults sent to torch.compile? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + if use_custom_options: + dynamo_config[prefix + "mode"] = _ask_options( + "Which mode do you want to use?", + TORCH_DYNAMO_MODES, + lambda x: TORCH_DYNAMO_MODES[int(x)], + default=0, + ) + dynamo_config[prefix + "use_fullgraph"] = _ask_field( + "Do you want the fullgraph mode or it is ok to break model into several subgraphs? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + dynamo_config[prefix + "use_dynamic"] = _ask_field( + "Do you want to enable dynamic shape tracing? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + dynamo_config[prefix + "use_regional_compilation"] = _ask_field( + "Do you want to enable regional compilation? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + use_mps = not use_cpu and is_mps_available() + deepspeed_config = {} + if ( + distributed_type + in [ + DistributedType.MULTI_GPU, + DistributedType.MULTI_XPU, + DistributedType.MULTI_HPU, + DistributedType.MULTI_NPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.NO, + ] + and not use_mps + ): + use_deepspeed = _ask_field( + "Do you want to use DeepSpeed? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if use_deepspeed: + distributed_type = DistributedType.DEEPSPEED + assert is_deepspeed_available(), ( + "DeepSpeed is not installed => run `pip3 install deepspeed` or build it from source" + ) + + if distributed_type == DistributedType.DEEPSPEED: + use_deepspeed_config = _ask_field( + "Do you want to specify a json file to a DeepSpeed config? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if use_deepspeed_config: + deepspeed_config["deepspeed_config_file"] = _ask_field( + "Please enter the path to the json DeepSpeed config file: ", + str, + default="none", + ) + else: + deepspeed_config["zero_stage"] = _ask_options( + "What should be your DeepSpeed's ZeRO optimization stage?", + [0, 1, 2, 3], + int, + default=2, + ) + + deepspeed_devices = ["none", "cpu", "nvme"] + if deepspeed_config["zero_stage"] >= 2: + deepspeed_config["offload_optimizer_device"] = _ask_options( + "Where to offload optimizer states?", deepspeed_devices, lambda x: deepspeed_devices[int(x)] + ) + deepspeed_config["offload_param_device"] = _ask_options( + "Where to offload parameters?", deepspeed_devices, lambda x: deepspeed_devices[int(x)] + ) + if deepspeed_config["offload_param_device"] == "nvme": + deepspeed_config["offload_param_nvme_path"] = _ask_field( + "Nvme Path to offload parameters?", + str, + default="/nvme", + ) + if deepspeed_config["offload_optimizer_device"] == "nvme": + deepspeed_config["offload_optimizer_nvme_path"] = _ask_field( + "Nvme Path to offload optimizer states?", + str, + default="/nvme", + ) + deepspeed_config["gradient_accumulation_steps"] = _ask_field( + "How many gradient accumulation steps you're passing in your script? [1]: ", + int, + default=1, + ) + use_gradient_clipping = _ask_field( + "Do you want to use gradient clipping? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if use_gradient_clipping: + deepspeed_config["gradient_clipping"] = _ask_field( + "What is the gradient clipping value? [1.0]: ", + float, + default=1.0, + ) + if deepspeed_config["zero_stage"] == 3: + deepspeed_config["zero3_save_16bit_model"] = _ask_field( + "Do you want to save 16-bit model weights when using ZeRO Stage-3? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + deepspeed_config["zero3_init_flag"] = _ask_field( + "Do you want to enable `deepspeed.zero.Init` when using ZeRO Stage-3 for constructing massive models? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if deepspeed_config["zero3_init_flag"]: + if not is_transformers_available(): + raise Exception( + "When `zero3_init_flag` is set, it requires Transformers to be installed. " + "Please run `pip3 install transformers`." + ) + use_moe = _ask_field( + "Do you want to enable Mixture-of-Experts training (MoE)? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if use_moe: + deepspeed_config["deepspeed_moe_layer_cls_names"] = _ask_field( + "Specify the comma-separated list of transformers MoE layer class names (case-sensitive), e.g : " + " `MixtralSparseMoeBlock`, `Qwen2MoeSparseMoeBlock`, `JetMoEAttention,JetMoEBlock` ... : ", + str, + ) + + if num_machines > 1: + launcher_query = "Which Type of launcher do you want to use?" + deepspeed_config["deepspeed_multinode_launcher"] = _ask_options( + launcher_query, + DEEPSPEED_MULTINODE_LAUNCHERS, + lambda x: DEEPSPEED_MULTINODE_LAUNCHERS[int(x)], + ) + + if deepspeed_config["deepspeed_multinode_launcher"] != DEEPSPEED_MULTINODE_LAUNCHERS[1]: + deepspeed_config["deepspeed_hostfile"] = _ask_field( + "DeepSpeed configures multi-node compute resources with hostfile. " + "Each row is of the format `hostname slots=[num_gpus]`, e.g., `localhost slots=2`; " + "for more information please refer official [documentation]" + "(https://www.deepspeed.ai/getting-started/#resource-configuration-multi-node). " + "Please specify the location of hostfile: ", + str, + ) + + is_exclusion_filter = _ask_field( + "Do you want to specify exclusion filter string? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if is_exclusion_filter: + deepspeed_config["deepspeed_exclusion_filter"] = _ask_field( + "DeepSpeed exclusion filter string: ", + str, + ) + + is_inclusion_filter = _ask_field( + "Do you want to specify inclusion filter string? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if is_inclusion_filter: + deepspeed_config["deepspeed_inclusion_filter"] = _ask_field( + "DeepSpeed inclusion filter string: ", + str, + ) + + fsdp_config = {} + + if distributed_type in [ + DistributedType.MULTI_GPU, + DistributedType.MULTI_NPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_XPU, + DistributedType.MULTI_HPU, + ]: + use_fsdp = _ask_field( + "Do you want to use FullyShardedDataParallel? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if use_fsdp: + distributed_type = DistributedType.FSDP + if distributed_type == DistributedType.FSDP: + fsdp_config["fsdp_version"] = _ask_options( + "What should be your FSDP version? [2]: ", + [1, 2], + lambda x: int(x) + 1, + default=1, + ) + fsdp_version = fsdp_config["fsdp_version"] # extract to a variable to simplify usage later + + if fsdp_version == 1: + sharding_strategy_query = "What should be your sharding strategy?" + fsdp_config["fsdp_reshard_after_forward"] = _ask_options( + sharding_strategy_query, + FSDP_SHARDING_STRATEGY, + lambda x: FSDP_SHARDING_STRATEGY[int(x)], + ) + else: + fsdp_config["fsdp_reshard_after_forward"] = _ask_field( + "Do you want to enable resharding after forward? [YES/no]: ", + _convert_yes_no_to_bool, + default=True, + error_message="Please enter yes or no.", + ) + + fsdp_config["fsdp_offload_params"] = _ask_field( + "Do you want to offload parameters and gradients to CPU? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + fsdp_wrap_query = "What should be your auto wrap policy?" + fsdp_config["fsdp_auto_wrap_policy"] = _ask_options( + fsdp_wrap_query, + FSDP_AUTO_WRAP_POLICY, + lambda x: FSDP_AUTO_WRAP_POLICY[int(x)], + ) + if fsdp_config["fsdp_auto_wrap_policy"] == FSDP_AUTO_WRAP_POLICY[0]: + use_no_split_modules = _ask_field( + "Do you want to use the model's `_no_split_modules` to wrap. Only applicable for 🤗 Transformers [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if not use_no_split_modules: + fsdp_config["fsdp_transformer_layer_cls_to_wrap"] = _ask_field( + "Specify the comma-separated list of transformer layer class names (case-sensitive) to wrap ,e.g, :" + "`BertLayer`, `GPTJBlock`, `T5Block`, `BertLayer,BertEmbeddings,BertSelfOutput` ...? : ", + str, + ) + elif fsdp_config["fsdp_auto_wrap_policy"] == FSDP_AUTO_WRAP_POLICY[1]: + fsdp_config["fsdp_min_num_params"] = _ask_field( + "What should be your FSDP's minimum number of parameters for Default Auto Wrapping Policy? [1e8]: ", + int, + default=100000000, + ) + # Removed in FSDP2, ask for user input for FSDP1 + if fsdp_version == 1: + fsdp_backward_prefetch_query = "What should be your FSDP's backward prefetch policy?" + fsdp_config["fsdp_backward_prefetch"] = _ask_options( + fsdp_backward_prefetch_query, + FSDP_BACKWARD_PREFETCH, + lambda x: FSDP_BACKWARD_PREFETCH[int(x)], + ) + + fsdp_state_dict_type_query = "What should be your FSDP's state dict type?" + fsdp_config["fsdp_state_dict_type"] = _ask_options( + fsdp_state_dict_type_query, + FSDP_STATE_DICT_TYPE if fsdp_version == 1 else FSDP2_STATE_DICT_TYPE, + lambda x: FSDP_STATE_DICT_TYPE[int(x)] if fsdp_version == 1 else FSDP2_STATE_DICT_TYPE[int(x)], + default=0, + ) + # Not implemented in FSDP2, ask for user input for FSDP1 + if fsdp_version == 1: + fsdp_config["fsdp_forward_prefetch"] = _ask_field( + "Do you want to enable FSDP's forward prefetch policy? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + # Obsolete in FSDP2, ask for user input for FSDP1 + if fsdp_version == 1: + fsdp_config["fsdp_use_orig_params"] = _ask_field( + "Do you want to enable FSDP's `use_orig_params` feature? [YES/no]: ", + _convert_yes_no_to_bool, + default=True, + error_message="Please enter yes or no.", + ) + fsdp_config["fsdp_cpu_ram_efficient_loading"] = _ask_field( + "Do you want to enable CPU RAM efficient model loading? Only applicable for 🤗 Transformers models. [YES/no]: ", + _convert_yes_no_to_bool, + default=True, + error_message="Please enter yes or no.", + ) + # Obsolete in FSDP2, ask for user input for FSDP1 + if fsdp_version == 1: + if fsdp_config["fsdp_cpu_ram_efficient_loading"]: + fsdp_config["fsdp_sync_module_states"] = True + else: + fsdp_config["fsdp_sync_module_states"] = _ask_field( + "Do you want each individually wrapped FSDP unit to broadcast module parameters from rank 0 at the start? [YES/no]: ", + _convert_yes_no_to_bool, + default=True, + error_message="Please enter yes or no.", + ) + fsdp_config["fsdp_activation_checkpointing"] = _ask_field( + "Do you want to enable FSDP activation checkpointing? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + parallelism_config = {} + + if fsdp_config.get("fsdp_version", 1) == 2: + use_parallelism_config = _ask_field( + "Do you want to use the parallelism config? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + if use_parallelism_config: + prefix = "parallelism_config_" + parallelism_config[prefix + "dp_replicate_size"] = _ask_field( + "What is the data parallelism replicate size? [1]: ", + int, + default=1, + error_message="Please enter an integer.", + ) + + parallelism_config[prefix + "dp_shard_size"] = _ask_field( + "What is the FSDP shard size? [1]: ", + int, + default=1, + error_message="Please enter an integer.", + ) + + parallelism_config[prefix + "tp_size"] = _ask_field( + "What is the tensor parallelism size? [1]: ", + int, + default=1, + error_message="Please enter an integer.", + ) + + parallelism_config[prefix + "cp_size"] = _ask_field( + "What is the context parallelism size? [1]: ", + int, + default=1, + error_message="Please enter an integer.", + ) + if parallelism_config[prefix + "cp_size"] > 1: + parallelism_config[prefix + "cp_comm_strategy"] = _ask_options( + "What is the compute parallelism communication strategy?", + ["allgather", "alltoall"], + lambda x: ["allgather", "alltoall"][int(x)], + default=0, + ) + + megatron_lm_config = {} + if distributed_type in [DistributedType.MULTI_GPU]: + use_megatron_lm = _ask_field( + "Do you want to use Megatron-LM ? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if use_megatron_lm: + distributed_type = DistributedType.MEGATRON_LM + if distributed_type == DistributedType.MEGATRON_LM: + prefix = "megatron_lm_" + megatron_lm_config[prefix + "tp_degree"] = _ask_field( + "What is the Tensor Parallelism degree/size? [1]:", + int, + default=1, + error_message="Please enter an integer.", + ) + if megatron_lm_config[prefix + "tp_degree"] > 1: + megatron_lm_config[prefix + "sequence_parallelism"] = _ask_field( + "Do you want to enable Sequence Parallelism? [YES/no]: ", + _convert_yes_no_to_bool, + default=True, + error_message="Please enter yes or no.", + ) + + megatron_lm_config[prefix + "pp_degree"] = _ask_field( + "What is the Pipeline Parallelism degree/size? [1]:", + int, + default=1, + error_message="Please enter an integer.", + ) + if megatron_lm_config[prefix + "pp_degree"] > 1: + megatron_lm_config[prefix + "num_micro_batches"] = _ask_field( + "What is the number of micro-batches? [1]:", + int, + default=1, + error_message="Please enter an integer.", + ) + + megatron_lm_config[prefix + "recompute_activations"] = _ask_field( + "Do you want to enable selective activation recomputation? [YES/no]: ", + _convert_yes_no_to_bool, + default=True, + error_message="Please enter yes or no.", + ) + + megatron_lm_config[prefix + "use_distributed_optimizer"] = _ask_field( + "Do you want to use distributed optimizer " + "which shards optimizer state and gradients across data parallel ranks? [YES/no]: ", + _convert_yes_no_to_bool, + default=True, + error_message="Please enter yes or no.", + ) + + megatron_lm_config[prefix + "gradient_clipping"] = _ask_field( + "What is the gradient clipping value based on global L2 Norm (0 to disable)? [1.0]: ", + float, + default=1.0, + ) + # TPU specific defaults + tpu_commands = None + tpu_command_file = None + tpu_downcast_bf16 = "no" + tpu_env = [] + tpu_name = None + tpu_vm = None + tpu_zone = None + tpu_use_sudo = False + tpu_use_cluster = False + + if distributed_type in [ + DistributedType.MULTI_CPU, + DistributedType.MULTI_XPU, + DistributedType.MULTI_HPU, + DistributedType.MULTI_GPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_NPU, + DistributedType.XLA, + ]: + machine_type = str(distributed_type).split(".")[1].replace("MULTI_", "") + if machine_type == "TPU": + machine_type += " cores" + elif machine_type == "CPU": + machine_type = "processes" + else: + machine_type += "(s)" + num_processes = _ask_field( + f"How many {machine_type} should be used for distributed training? [1]:", + int, + default=1, + error_message="Please enter an integer.", + ) + elif distributed_type in [DistributedType.FSDP, DistributedType.DEEPSPEED, DistributedType.MEGATRON_LM]: + num_processes = _ask_field( + "How many GPU(s) should be used for distributed training? [1]:", + int, + default=1, + error_message="Please enter an integer.", + ) + else: + num_processes = 1 + + if (distributed_type == DistributedType.MULTI_GPU) and (num_machines == 1) and (num_processes == 1): + raise ValueError( + f"Specified distributed type {distributed_type} but only using 1 GPU on a single machine. Please select `No distributed training` for the type of machine you are using." + ) + + if ( + distributed_type + in [ + DistributedType.MULTI_GPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_NPU, + DistributedType.MULTI_XPU, + DistributedType.MULTI_HPU, + DistributedType.NO, + ] + and not use_cpu + and not use_mps + ): + if is_npu_available(): + machine_type = "NPU(s)" + elif is_mlu_available(): + machine_type = "MLU(s)" + elif is_sdaa_available(): + machine_type = "SDAA(s)" + elif is_musa_available(): + machine_type = "MUSA(s)" + elif is_xpu_available(): + machine_type = "XPU(s)" + elif is_hpu_available(): + machine_type = "HPU(s)" + else: + machine_type = "GPU(s)" + gpu_ids = _ask_field( + f"What {machine_type} (by id) should be used for training on this machine as a comma-separated list? [all]:", + default="all", + ) + + # CPU affinity is only supported on NVIDIA hardware for now + enable_cpu_affinity = False + if distributed_type in (DistributedType.NO, DistributedType.MULTI_GPU) and not use_cpu and not use_mps: + enable_cpu_affinity = _ask_field( + "Would you like to enable numa efficiency? (Currently only supported on NVIDIA hardware). [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + fp8_config = None + if distributed_type == DistributedType.XLA: + mixed_precision = "no" + main_training_function = _ask_field( + "What is the name of the function in your script that should be launched in all parallel scripts? [main]: ", + default="main", + ) + tpu_use_cluster = _ask_field( + "Are you using a TPU cluster? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if tpu_use_cluster: + tpu_name = _ask_field( + "What is the name of your TPU cluster? ", + default=None, + error_message="Please enter the name of your TPU cluster.", + ) + tpu_zone = _ask_field( + "What is the zone of your TPU cluster? ", + default=None, + error_message="Please enter the zone of your TPU cluster.", + ) + tpu_use_sudo = _ask_field( + "To run a python script in a TPU pod, should `sudo` be used? [yes/NO]: ", + default=False, + error_message="Please enter yes or no.", + ) + run_commands = _ask_field( + "Do you have code you wish to run on startup in each pod? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if run_commands: + use_command_file = _ask_field( + "Is this code located in a bash script? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if use_command_file: + tpu_command_file = _ask_field( + "What is the path to your bash script? ", + default=None, + error_message="Please enter the path to your bash script.", + ) + tpu_command_file = os.path.abspath(tpu_command_file) + else: + print("Please enter each command separately you wish to run on startup in each pod.") + tpu_commands = [] + another_command = True + while another_command: + tpu_commands.append( + _ask_field( + "Please enter a single command to be ran ", + default=None, + error_message="Please enter the commands you wish to run on startup in each pod as a single string.", + ) + ) + another_command = _ask_field( + "Do you wish to add another command? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + tpu_vm = _ask_field( + "If not using an instance group, what are the names of the Compute VM instances to be used, separated by a comma: ", + default="", + ).split(",") + tpu_env = _ask_field( + "What environment variables do you wish to set in each pod, separated by a comma: ", + default="", + ).split(",") + + else: + main_training_function = "main" + if distributed_type == DistributedType.DEEPSPEED and use_deepspeed_config: + mixed_precision = None + else: + mixed_precision = _ask_options( + "Do you wish to use mixed precision?", + ["no", "fp16", "bf16", "fp8"], + _convert_mixed_precision, + ) + if mixed_precision == "fp8": + if not is_fp8_available(): + raise ValueError("FP8 (either Transformer Engine or MSAMP) is not installed on this machine.") + fp8_config = {} + fp8_config["backend"] = _ask_options( + "Which FP8 backend do you want to use?", + ["te", "msamp"], + _convert_fp8_backend, + ) + if fp8_config["backend"] == "TE": + if not is_transformer_engine_available(): + raise ValueError("TransformersEngine was selected, but it is not installed on this machine.") + fp8_config["use_autocast_during_eval"] = _ask_field( + "Do you want to use FP8 autocast during eval mode? Generally better metrics are found when this is disabled [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + ) + fp8_config["margin"] = _ask_field( + "What margin should be used for gradient scaling? [0]: ", + int, + default=0, + ) + fp8_config["interval"] = _ask_field( + "What interval should be used for for how often the scaling factor is recomputed? [1]: ", + int, + default=1, + ) + fp8_config["fp8_format"] = _ask_options( + "Which weight format should be used?", + ["HYBRID", "E4M3", "E5M2"], + lambda i: ["HYBRID", "E4M3", "E5M2"][i], + default=0, + ) + fp8_config["amax_history_length"] = _ask_field( + "What length of history should be used for the amax scaling factor computation? [1024]: ", + int, + default=1024, + ) + fp8_config["amax_compute_algorithm"] = _ask_options( + "Which algorithm should be used for the amax scaling factor computation?", + ["max", "most_recent"], + lambda x: "max" if x == 0 else "most_recent", + default=0, + ) + fp8_config["override_linear_precision"] = _ask_field( + "Do you want to to execute `fprop`, `dgrad`, and `wgrad` GEMMS in higher precision? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + ) + if fp8_config["override_linear_precision"]: + fprop = _ask_field( + "Should `fprop` be executed in higher precision? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + ) + dgrad = _ask_field( + "Should `dgrad` be executed in higher precision? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + ) + wgrad = _ask_field( + "Should `wgrad` be executed in higher precision? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + ) + fp8_config["override_linear_precision"] = (fprop, dgrad, wgrad) + else: + fp8_config["override_linear_precision"] = (False, False, False) + + elif fp8_config["backend"] == "MSAMP": + if not is_msamp_available(): + raise ValueError("MSAMP was selected, but it is not installed on this machine.") + fp8_config["optimization_level"] = _ask_options( + "Which optimization level should be used?", + ["O1", "O2"], + lambda x: "O1" if x == 0 else "O2", + default=1, + ) + + if use_dynamo and mixed_precision == "no" and not use_cpu: + print( + "Torch dynamo used without mixed precision requires TF32 to be efficient. Accelerate will enable it by default when launching your scripts." + ) + + if distributed_type == DistributedType.XLA and mixed_precision == "bf16": + tpu_downcast_bf16 = _ask_field( + "Should `torch.float` be cast as `bfloat16` and `torch.double` remain `float32` on TPUs?", default="no" + ) + + return ClusterConfig( + compute_environment=ComputeEnvironment.LOCAL_MACHINE, + distributed_type=distributed_type, + num_processes=num_processes, + gpu_ids=gpu_ids, + mixed_precision=mixed_precision, + downcast_bf16=tpu_downcast_bf16, + machine_rank=machine_rank, + num_machines=num_machines, + main_process_ip=main_process_ip, + main_process_port=main_process_port, + main_training_function=main_training_function, + fp8_config=fp8_config, + deepspeed_config=deepspeed_config, + fsdp_config=fsdp_config, + parallelism_config=parallelism_config, + megatron_lm_config=megatron_lm_config, + ipex_config=ipex_config, + mpirun_config=mpirun_config, + use_cpu=use_cpu, + rdzv_backend=rdzv_backend, + same_network=same_network, + commands=tpu_commands, + command_file=tpu_command_file, + tpu_env=tpu_env, + tpu_name=tpu_name, + tpu_vm=tpu_vm, + tpu_zone=tpu_zone, + tpu_use_sudo=tpu_use_sudo, + tpu_use_cluster=tpu_use_cluster, + dynamo_config=dynamo_config, + debug=debug, + enable_cpu_affinity=enable_cpu_affinity, + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/config.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/config.py new file mode 100644 index 0000000000000000000000000000000000000000..72414f2abe62d76bd5133f4b0ed99bf34133f6f6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/config.py @@ -0,0 +1,89 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse +import os + +from accelerate.utils import ComputeEnvironment + +from .cluster import get_cluster_input +from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file # noqa: F401 +from .config_utils import _ask_field, _ask_options, _convert_compute_environment # noqa: F401 +from .sagemaker import get_sagemaker_input + + +description = "Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine" + + +def get_user_input(): + compute_environment = _ask_options( + "In which compute environment are you running?", + ["This machine", "AWS (Amazon SageMaker)"], + _convert_compute_environment, + ) + if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER: + config = get_sagemaker_input() + else: + config = get_cluster_input() + return config + + +def config_command_parser(subparsers=None): + if subparsers is not None: + parser = subparsers.add_parser("config", description=description) + else: + parser = argparse.ArgumentParser("Accelerate config command", description=description) + + parser.add_argument( + "--config_file", + default=None, + help=( + "The path to use to store the config file. Will default to a file named default_config.yaml in the cache " + "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have " + "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed " + "with 'huggingface'." + ), + ) + + if subparsers is not None: + parser.set_defaults(func=config_command) + return parser + + +def config_command(args): + config = get_user_input() + if args.config_file is not None: + config_file = args.config_file + else: + if not os.path.isdir(cache_dir): + os.makedirs(cache_dir) + config_file = default_yaml_config_file + + if config_file.endswith(".json"): + config.to_json_file(config_file) + else: + config.to_yaml_file(config_file) + print(f"accelerate configuration saved at {config_file}") + + +def main(): + parser = config_command_parser() + args = parser.parse_args() + config_command(args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/config_args.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/config_args.py new file mode 100644 index 0000000000000000000000000000000000000000..683f829bab8dbdaea77f74f72c919ddb18238707 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/config_args.py @@ -0,0 +1,256 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import os +from dataclasses import dataclass +from enum import Enum +from typing import Optional, Union + +import yaml + +from ...utils import ComputeEnvironment, DistributedType, SageMakerDistributedType +from ...utils.constants import SAGEMAKER_PYTHON_VERSION, SAGEMAKER_PYTORCH_VERSION, SAGEMAKER_TRANSFORMERS_VERSION + + +hf_cache_home = os.path.expanduser( + os.environ.get("HF_HOME", os.path.join(os.environ.get("XDG_CACHE_HOME", "~/.cache"), "huggingface")) +) +cache_dir = os.path.join(hf_cache_home, "accelerate") +default_json_config_file = os.path.join(cache_dir, "default_config.yaml") +default_yaml_config_file = os.path.join(cache_dir, "default_config.yaml") + +# For backward compatibility: the default config is the json one if it's the only existing file. +if os.path.isfile(default_yaml_config_file) or not os.path.isfile(default_json_config_file): + default_config_file = default_yaml_config_file +else: + default_config_file = default_json_config_file + + +def load_config_from_file(config_file): + if config_file is not None: + if not os.path.isfile(config_file): + raise FileNotFoundError( + f"The passed configuration file `{config_file}` does not exist. " + "Please pass an existing file to `accelerate launch`, or use the default one " + "created through `accelerate config` and run `accelerate launch` " + "without the `--config_file` argument." + ) + else: + config_file = default_config_file + with open(config_file, encoding="utf-8") as f: + if config_file.endswith(".json"): + if ( + json.load(f).get("compute_environment", ComputeEnvironment.LOCAL_MACHINE) + == ComputeEnvironment.LOCAL_MACHINE + ): + config_class = ClusterConfig + else: + config_class = SageMakerConfig + return config_class.from_json_file(json_file=config_file) + else: + if ( + yaml.safe_load(f).get("compute_environment", ComputeEnvironment.LOCAL_MACHINE) + == ComputeEnvironment.LOCAL_MACHINE + ): + config_class = ClusterConfig + else: + config_class = SageMakerConfig + return config_class.from_yaml_file(yaml_file=config_file) + + +@dataclass +class BaseConfig: + compute_environment: ComputeEnvironment + distributed_type: Union[DistributedType, SageMakerDistributedType] + mixed_precision: str + use_cpu: bool + debug: bool + + def to_dict(self): + result = self.__dict__ + # For serialization, it's best to convert Enums to strings (or their underlying value type). + + def _convert_enums(value): + if isinstance(value, Enum): + return value.value + if isinstance(value, dict): + if not bool(value): + return None + for key1, value1 in value.items(): + value[key1] = _convert_enums(value1) + return value + + for key, value in result.items(): + result[key] = _convert_enums(value) + result = {k: v for k, v in result.items() if v is not None} + return result + + @staticmethod + def process_config(config_dict): + """ + Processes `config_dict` and sets default values for any missing keys + """ + if "compute_environment" not in config_dict: + config_dict["compute_environment"] = ComputeEnvironment.LOCAL_MACHINE + if "distributed_type" not in config_dict: + raise ValueError("A `distributed_type` must be specified in the config file.") + if "num_processes" not in config_dict and config_dict["distributed_type"] == DistributedType.NO: + config_dict["num_processes"] = 1 + if "mixed_precision" not in config_dict: + config_dict["mixed_precision"] = "fp16" if ("fp16" in config_dict and config_dict["fp16"]) else None + if "fp16" in config_dict: # Convert the config to the new format. + del config_dict["fp16"] + if "dynamo_backend" in config_dict: # Convert the config to the new format. + dynamo_backend = config_dict.pop("dynamo_backend") + config_dict["dynamo_config"] = {} if dynamo_backend == "NO" else {"dynamo_backend": dynamo_backend} + if "use_cpu" not in config_dict: + config_dict["use_cpu"] = False + if "debug" not in config_dict: + config_dict["debug"] = False + if "enable_cpu_affinity" not in config_dict: + config_dict["enable_cpu_affinity"] = False + return config_dict + + @classmethod + def from_json_file(cls, json_file=None): + json_file = default_json_config_file if json_file is None else json_file + with open(json_file, encoding="utf-8") as f: + config_dict = json.load(f) + config_dict = cls.process_config(config_dict) + extra_keys = sorted(set(config_dict.keys()) - set(cls.__dataclass_fields__.keys())) + if len(extra_keys) > 0: + raise ValueError( + f"The config file at {json_file} had unknown keys ({extra_keys}), please try upgrading your `accelerate`" + " version or fix (and potentially remove) these keys from your config file." + ) + + return cls(**config_dict) + + def to_json_file(self, json_file): + with open(json_file, "w", encoding="utf-8") as f: + content = json.dumps(self.to_dict(), indent=2, sort_keys=True) + "\n" + f.write(content) + + @classmethod + def from_yaml_file(cls, yaml_file=None): + yaml_file = default_yaml_config_file if yaml_file is None else yaml_file + with open(yaml_file, encoding="utf-8") as f: + config_dict = yaml.safe_load(f) + config_dict = cls.process_config(config_dict) + extra_keys = sorted(set(config_dict.keys()) - set(cls.__dataclass_fields__.keys())) + if len(extra_keys) > 0: + raise ValueError( + f"The config file at {yaml_file} had unknown keys ({extra_keys}), please try upgrading your `accelerate`" + " version or fix (and potentially remove) these keys from your config file." + ) + return cls(**config_dict) + + def to_yaml_file(self, yaml_file): + with open(yaml_file, "w", encoding="utf-8") as f: + yaml.safe_dump(self.to_dict(), f) + + def __post_init__(self): + if isinstance(self.compute_environment, str): + self.compute_environment = ComputeEnvironment(self.compute_environment) + if isinstance(self.distributed_type, str): + if self.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER: + self.distributed_type = SageMakerDistributedType(self.distributed_type) + else: + self.distributed_type = DistributedType(self.distributed_type) + if getattr(self, "dynamo_config", None) is None: + self.dynamo_config = {} + + +@dataclass +class ClusterConfig(BaseConfig): + num_processes: int = -1 # For instance if we use SLURM and the user manually passes it in + machine_rank: int = 0 + num_machines: int = 1 + gpu_ids: Optional[str] = None + main_process_ip: Optional[str] = None + main_process_port: Optional[int] = None + rdzv_backend: Optional[str] = "static" + same_network: Optional[bool] = False + main_training_function: str = "main" + enable_cpu_affinity: bool = False + + # args for FP8 training + fp8_config: Optional[dict] = None + # args for deepspeed_plugin + deepspeed_config: Optional[dict] = None + # args for fsdp + fsdp_config: Optional[dict] = None + # args for parallelism config + parallelism_config: Optional[dict] = None + # args for megatron_lm + megatron_lm_config: Optional[dict] = None + # args for ipex + ipex_config: Optional[dict] = None + # args for mpirun + mpirun_config: Optional[dict] = None + # args for TPU + downcast_bf16: bool = False + + # args for TPU pods + tpu_name: Optional[str] = None + tpu_zone: Optional[str] = None + tpu_use_cluster: bool = False + tpu_use_sudo: bool = False + command_file: Optional[str] = None + commands: list[str] = None + tpu_vm: list[str] = None + tpu_env: list[str] = None + + # args for dynamo + dynamo_config: Optional[dict] = None + + def __post_init__(self): + if self.deepspeed_config is None: + self.deepspeed_config = {} + if self.fsdp_config is None: + self.fsdp_config = {} + if self.megatron_lm_config is None: + self.megatron_lm_config = {} + if self.ipex_config is None: + self.ipex_config = {} + if self.mpirun_config is None: + self.mpirun_config = {} + if self.fp8_config is None: + self.fp8_config = {} + if self.parallelism_config is None: + self.parallelism_config = {} + return super().__post_init__() + + +@dataclass +class SageMakerConfig(BaseConfig): + ec2_instance_type: str + iam_role_name: str + image_uri: Optional[str] = None + profile: Optional[str] = None + region: str = "us-east-1" + num_machines: int = 1 + gpu_ids: str = "all" + base_job_name: str = f"accelerate-sagemaker-{num_machines}" + pytorch_version: str = SAGEMAKER_PYTORCH_VERSION + transformers_version: str = SAGEMAKER_TRANSFORMERS_VERSION + py_version: str = SAGEMAKER_PYTHON_VERSION + sagemaker_inputs_file: Optional[str] = None + sagemaker_metrics_file: Optional[str] = None + additional_args: Optional[dict] = None + dynamo_config: Optional[dict] = None + enable_cpu_affinity: bool = False diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/config_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/config_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..24ee971383c8fdda1491e2b5795446790755ac70 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/config_utils.py @@ -0,0 +1,122 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse + +from ...utils.dataclasses import ( + ComputeEnvironment, + DistributedType, + DynamoBackend, + FP8BackendType, + PrecisionType, + SageMakerDistributedType, +) +from ..menu import BulletMenu + + +DYNAMO_BACKENDS = [ + "EAGER", + "AOT_EAGER", + "INDUCTOR", + "AOT_TS_NVFUSER", + "NVPRIMS_NVFUSER", + "CUDAGRAPHS", + "OFI", + "FX2TRT", + "ONNXRT", + "TENSORRT", + "AOT_TORCHXLA_TRACE_ONCE", + "TORHCHXLA_TRACE_ONCE", + "IPEX", + "TVM", +] + + +def _ask_field(input_text, convert_value=None, default=None, error_message=None): + ask_again = True + while ask_again: + result = input(input_text) + try: + if default is not None and len(result) == 0: + return default + return convert_value(result) if convert_value is not None else result + except Exception: + if error_message is not None: + print(error_message) + + +def _ask_options(input_text, options=[], convert_value=None, default=0): + menu = BulletMenu(input_text, options) + result = menu.run(default_choice=default) + return convert_value(result) if convert_value is not None else result + + +def _convert_compute_environment(value): + value = int(value) + return ComputeEnvironment(["LOCAL_MACHINE", "AMAZON_SAGEMAKER"][value]) + + +def _convert_distributed_mode(value): + value = int(value) + return DistributedType( + [ + "NO", + "MULTI_CPU", + "MULTI_XPU", + "MULTI_HPU", + "MULTI_GPU", + "MULTI_NPU", + "MULTI_MLU", + "MULTI_SDAA", + "MULTI_MUSA", + "XLA", + ][value] + ) + + +def _convert_dynamo_backend(value): + value = int(value) + return DynamoBackend(DYNAMO_BACKENDS[value]).value + + +def _convert_mixed_precision(value): + value = int(value) + return PrecisionType(["no", "fp16", "bf16", "fp8"][value]) + + +def _convert_sagemaker_distributed_mode(value): + value = int(value) + return SageMakerDistributedType(["NO", "DATA_PARALLEL", "MODEL_PARALLEL"][value]) + + +def _convert_fp8_backend(value): + value = int(value) + return FP8BackendType(["TE", "MSAMP"][value]) + + +def _convert_yes_no_to_bool(value): + return {"yes": True, "no": False}[value.lower()] + + +class SubcommandHelpFormatter(argparse.RawDescriptionHelpFormatter): + """ + A custom formatter that will remove the usage line from the help message for subcommands. + """ + + def _format_usage(self, usage, actions, groups, prefix): + usage = super()._format_usage(usage, actions, groups, prefix) + usage = usage.replace(" [] ", "") + return usage diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/default.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/default.py new file mode 100644 index 0000000000000000000000000000000000000000..f5f267f8c47cccc80ce9ef53f970c2266472c117 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/default.py @@ -0,0 +1,163 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from pathlib import Path + +import torch + +from ...utils import ( + is_hpu_available, + is_mlu_available, + is_musa_available, + is_npu_available, + is_sdaa_available, + is_xpu_available, +) +from .config_args import ClusterConfig, default_json_config_file +from .config_utils import SubcommandHelpFormatter + + +description = "Create a default config file for Accelerate with only a few flags set." + + +def write_basic_config(mixed_precision="no", save_location: str = default_json_config_file): + """ + Creates and saves a basic cluster config to be used on a local machine with potentially multiple GPUs. Will also + set CPU if it is a CPU-only machine. + + Args: + mixed_precision (`str`, *optional*, defaults to "no"): + Mixed Precision to use. Should be one of "no", "fp16", or "bf16" + save_location (`str`, *optional*, defaults to `default_json_config_file`): + Optional custom save location. Should be passed to `--config_file` when using `accelerate launch`. Default + location is inside the huggingface cache folder (`~/.cache/huggingface`) but can be overridden by setting + the `HF_HOME` environmental variable, followed by `accelerate/default_config.yaml`. + """ + path = Path(save_location) + path.parent.mkdir(parents=True, exist_ok=True) + if path.exists(): + print( + f"Configuration already exists at {save_location}, will not override. Run `accelerate config` manually or pass a different `save_location`." + ) + return False + mixed_precision = mixed_precision.lower() + if mixed_precision not in ["no", "fp16", "bf16", "fp8"]: + raise ValueError( + f"`mixed_precision` should be one of 'no', 'fp16', 'bf16', or 'fp8'. Received {mixed_precision}" + ) + config = { + "compute_environment": "LOCAL_MACHINE", + "mixed_precision": mixed_precision, + } + if is_mlu_available(): + num_mlus = torch.mlu.device_count() + config["num_processes"] = num_mlus + config["use_cpu"] = False + if num_mlus > 1: + config["distributed_type"] = "MULTI_MLU" + else: + config["distributed_type"] = "NO" + if is_sdaa_available(): + num_sdaas = torch.sdaa.device_count() + config["num_processes"] = num_sdaas + config["use_cpu"] = False + if num_sdaas > 1: + config["distributed_type"] = "MULTI_SDAA" + else: + config["distributed_type"] = "NO" + elif is_musa_available(): + num_musas = torch.musa.device_count() + config["num_processes"] = num_musas + config["use_cpu"] = False + if num_musas > 1: + config["distributed_type"] = "MULTI_MUSA" + else: + config["distributed_type"] = "NO" + elif is_hpu_available(): + num_hpus = torch.hpu.device_count() + config["num_processes"] = num_hpus + config["use_cpu"] = False + if num_hpus > 1: + config["distributed_type"] = "MULTI_HPU" + else: + config["distributed_type"] = "NO" + elif torch.cuda.is_available(): + num_gpus = torch.cuda.device_count() + config["num_processes"] = num_gpus + config["use_cpu"] = False + if num_gpus > 1: + config["distributed_type"] = "MULTI_GPU" + else: + config["distributed_type"] = "NO" + elif is_xpu_available(): + num_xpus = torch.xpu.device_count() + config["num_processes"] = num_xpus + config["use_cpu"] = False + if num_xpus > 1: + config["distributed_type"] = "MULTI_XPU" + else: + config["distributed_type"] = "NO" + elif is_npu_available(): + num_npus = torch.npu.device_count() + config["num_processes"] = num_npus + config["use_cpu"] = False + if num_npus > 1: + config["distributed_type"] = "MULTI_NPU" + else: + config["distributed_type"] = "NO" + else: + num_xpus = 0 + config["use_cpu"] = True + config["num_processes"] = 1 + config["distributed_type"] = "NO" + config["debug"] = False + config["enable_cpu_affinity"] = False + config = ClusterConfig(**config) + config.to_json_file(path) + return path + + +def default_command_parser(parser, parents): + parser = parser.add_parser("default", parents=parents, help=description, formatter_class=SubcommandHelpFormatter) + parser.add_argument( + "--config_file", + default=default_json_config_file, + help=( + "The path to use to store the config file. Will default to a file named default_config.yaml in the cache " + "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have " + "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed " + "with 'huggingface'." + ), + dest="save_location", + ) + + parser.add_argument( + "--mixed_precision", + choices=["no", "fp16", "bf16"], + type=str, + help="Whether or not to use mixed precision training. " + "Choose between FP16 and BF16 (bfloat16) training. " + "BF16 training is only supported on Nvidia Ampere GPUs and PyTorch 1.10 or later.", + default="no", + ) + parser.set_defaults(func=default_config_command) + return parser + + +def default_config_command(args): + config_file = write_basic_config(args.mixed_precision, args.save_location) + if config_file: + print(f"accelerate configuration saved at {config_file}") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/sagemaker.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/sagemaker.py new file mode 100644 index 0000000000000000000000000000000000000000..5092ef31fc4715f901be6c1e7bfe80c0b140d767 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/sagemaker.py @@ -0,0 +1,274 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import json +import os + +from ...utils.constants import SAGEMAKER_PARALLEL_EC2_INSTANCES, TORCH_DYNAMO_MODES +from ...utils.dataclasses import ComputeEnvironment, SageMakerDistributedType +from ...utils.imports import is_boto3_available +from .config_args import SageMakerConfig +from .config_utils import ( + DYNAMO_BACKENDS, + _ask_field, + _ask_options, + _convert_dynamo_backend, + _convert_mixed_precision, + _convert_sagemaker_distributed_mode, + _convert_yes_no_to_bool, +) + + +if is_boto3_available(): + import boto3 # noqa: F401 + + +def _create_iam_role_for_sagemaker(role_name): + iam_client = boto3.client("iam") + + sagemaker_trust_policy = { + "Version": "2012-10-17", + "Statement": [ + {"Effect": "Allow", "Principal": {"Service": "sagemaker.amazonaws.com"}, "Action": "sts:AssumeRole"} + ], + } + try: + # create the role, associated with the chosen trust policy + iam_client.create_role( + RoleName=role_name, AssumeRolePolicyDocument=json.dumps(sagemaker_trust_policy, indent=2) + ) + policy_document = { + "Version": "2012-10-17", + "Statement": [ + { + "Effect": "Allow", + "Action": [ + "sagemaker:*", + "ecr:GetDownloadUrlForLayer", + "ecr:BatchGetImage", + "ecr:BatchCheckLayerAvailability", + "ecr:GetAuthorizationToken", + "cloudwatch:PutMetricData", + "cloudwatch:GetMetricData", + "cloudwatch:GetMetricStatistics", + "cloudwatch:ListMetrics", + "logs:CreateLogGroup", + "logs:CreateLogStream", + "logs:DescribeLogStreams", + "logs:PutLogEvents", + "logs:GetLogEvents", + "s3:CreateBucket", + "s3:ListBucket", + "s3:GetBucketLocation", + "s3:GetObject", + "s3:PutObject", + ], + "Resource": "*", + } + ], + } + # attach policy to role + iam_client.put_role_policy( + RoleName=role_name, + PolicyName=f"{role_name}_policy_permission", + PolicyDocument=json.dumps(policy_document, indent=2), + ) + except iam_client.exceptions.EntityAlreadyExistsException: + print(f"role {role_name} already exists. Using existing one") + + +def _get_iam_role_arn(role_name): + iam_client = boto3.client("iam") + return iam_client.get_role(RoleName=role_name)["Role"]["Arn"] + + +def get_sagemaker_input(): + credentials_configuration = _ask_options( + "How do you want to authorize?", + ["AWS Profile", "Credentials (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY) "], + int, + ) + aws_profile = None + if credentials_configuration == 0: + aws_profile = _ask_field("Enter your AWS Profile name: [default] ", default="default") + os.environ["AWS_PROFILE"] = aws_profile + else: + print( + "Note you will need to provide AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY when you launch you training script with," + "`accelerate launch --aws_access_key_id XXX --aws_secret_access_key YYY`" + ) + aws_access_key_id = _ask_field("AWS Access Key ID: ") + os.environ["AWS_ACCESS_KEY_ID"] = aws_access_key_id + + aws_secret_access_key = _ask_field("AWS Secret Access Key: ") + os.environ["AWS_SECRET_ACCESS_KEY"] = aws_secret_access_key + + aws_region = _ask_field("Enter your AWS Region: [us-east-1]", default="us-east-1") + os.environ["AWS_DEFAULT_REGION"] = aws_region + + role_management = _ask_options( + "Do you already have an IAM Role for executing Amazon SageMaker Training Jobs?", + ["Provide IAM Role name", "Create new IAM role using credentials"], + int, + ) + if role_management == 0: + iam_role_name = _ask_field("Enter your IAM role name: ") + else: + iam_role_name = "accelerate_sagemaker_execution_role" + print(f'Accelerate will create an iam role "{iam_role_name}" using the provided credentials') + _create_iam_role_for_sagemaker(iam_role_name) + + is_custom_docker_image = _ask_field( + "Do you want to use custom Docker image? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + docker_image = None + if is_custom_docker_image: + docker_image = _ask_field("Enter your Docker image: ", lambda x: str(x).lower()) + + is_sagemaker_inputs_enabled = _ask_field( + "Do you want to provide SageMaker input channels with data locations? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + sagemaker_inputs_file = None + if is_sagemaker_inputs_enabled: + sagemaker_inputs_file = _ask_field( + "Enter the path to the SageMaker inputs TSV file with columns (channel_name, data_location): ", + lambda x: str(x).lower(), + ) + + is_sagemaker_metrics_enabled = _ask_field( + "Do you want to enable SageMaker metrics? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + sagemaker_metrics_file = None + if is_sagemaker_metrics_enabled: + sagemaker_metrics_file = _ask_field( + "Enter the path to the SageMaker metrics TSV file with columns (metric_name, metric_regex): ", + lambda x: str(x).lower(), + ) + + distributed_type = _ask_options( + "What is the distributed mode?", + ["No distributed training", "Data parallelism"], + _convert_sagemaker_distributed_mode, + ) + dynamo_config = {} + use_dynamo = _ask_field( + "Do you wish to optimize your script with torch dynamo?[yes/NO]:", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + if use_dynamo: + prefix = "dynamo_" + dynamo_config[prefix + "backend"] = _ask_options( + "Which dynamo backend would you like to use?", + [x.lower() for x in DYNAMO_BACKENDS], + _convert_dynamo_backend, + default=2, + ) + use_custom_options = _ask_field( + "Do you want to customize the defaults sent to torch.compile? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + if use_custom_options: + dynamo_config[prefix + "mode"] = _ask_options( + "Which mode do you want to use?", + TORCH_DYNAMO_MODES, + lambda x: TORCH_DYNAMO_MODES[int(x)], + default="default", + ) + dynamo_config[prefix + "use_fullgraph"] = _ask_field( + "Do you want the fullgraph mode or it is ok to break model into several subgraphs? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + dynamo_config[prefix + "use_dynamic"] = _ask_field( + "Do you want to enable dynamic shape tracing? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + dynamo_config[prefix + "use_regional_compilation"] = _ask_field( + "Do you want to enable regional compilation? [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + ec2_instance_query = "Which EC2 instance type you want to use for your training?" + if distributed_type != SageMakerDistributedType.NO: + ec2_instance_type = _ask_options( + ec2_instance_query, SAGEMAKER_PARALLEL_EC2_INSTANCES, lambda x: SAGEMAKER_PARALLEL_EC2_INSTANCES[int(x)] + ) + else: + ec2_instance_query += "? [ml.p3.2xlarge]:" + ec2_instance_type = _ask_field(ec2_instance_query, lambda x: str(x).lower(), default="ml.p3.2xlarge") + + debug = False + if distributed_type != SageMakerDistributedType.NO: + debug = _ask_field( + "Should distributed operations be checked while running for errors? This can avoid timeout issues but will be slower. [yes/NO]: ", + _convert_yes_no_to_bool, + default=False, + error_message="Please enter yes or no.", + ) + + num_machines = 1 + if distributed_type in (SageMakerDistributedType.DATA_PARALLEL, SageMakerDistributedType.MODEL_PARALLEL): + num_machines = _ask_field( + "How many machines do you want use? [1]: ", + int, + default=1, + ) + + mixed_precision = _ask_options( + "Do you wish to use FP16 or BF16 (mixed precision)?", + ["no", "fp16", "bf16", "fp8"], + _convert_mixed_precision, + ) + + if use_dynamo and mixed_precision == "no": + print( + "Torch dynamo used without mixed precision requires TF32 to be efficient. Accelerate will enable it by default when launching your scripts." + ) + + return SageMakerConfig( + image_uri=docker_image, + compute_environment=ComputeEnvironment.AMAZON_SAGEMAKER, + distributed_type=distributed_type, + use_cpu=False, + dynamo_config=dynamo_config, + ec2_instance_type=ec2_instance_type, + profile=aws_profile, + region=aws_region, + iam_role_name=iam_role_name, + mixed_precision=mixed_precision, + num_machines=num_machines, + sagemaker_inputs_file=sagemaker_inputs_file, + sagemaker_metrics_file=sagemaker_metrics_file, + debug=debug, + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/update.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/update.py new file mode 100644 index 0000000000000000000000000000000000000000..369bb638e60516cb1ef46dbe53497c915834cbe4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/config/update.py @@ -0,0 +1,63 @@ +#!/usr/bin/env python + +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from pathlib import Path + +from .config_args import default_config_file, load_config_from_file +from .config_utils import SubcommandHelpFormatter + + +description = "Update an existing config file with the latest defaults while maintaining the old configuration." + + +def update_config(args): + """ + Update an existing config file with the latest defaults while maintaining the old configuration. + """ + config_file = args.config_file + if config_file is None and Path(default_config_file).exists(): + config_file = default_config_file + elif not Path(config_file).exists(): + raise ValueError(f"The passed config file located at {config_file} doesn't exist.") + config = load_config_from_file(config_file) + + if config_file.endswith(".json"): + config.to_json_file(config_file) + else: + config.to_yaml_file(config_file) + return config_file + + +def update_command_parser(parser, parents): + parser = parser.add_parser("update", parents=parents, help=description, formatter_class=SubcommandHelpFormatter) + parser.add_argument( + "--config_file", + default=None, + help=( + "The path to the config file to update. Will default to a file named default_config.yaml in the cache " + "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have " + "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed " + "with 'huggingface'." + ), + ) + + parser.set_defaults(func=update_config_command) + return parser + + +def update_config_command(args): + config_file = update_config(args) + print(f"Successfully updated the configuration file at {config_file}.") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/env.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/env.py new file mode 100644 index 0000000000000000000000000000000000000000..3dd2170aea8ba48a08e31c8031c0447825ec4797 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/env.py @@ -0,0 +1,131 @@ +#!/usr/bin/env python + +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse +import os +import platform +import subprocess + +import numpy as np +import psutil +import torch + +from accelerate import __version__ as version +from accelerate.commands.config import default_config_file, load_config_from_file + +from ..utils import is_mlu_available, is_musa_available, is_npu_available, is_sdaa_available, is_xpu_available + + +def env_command_parser(subparsers=None): + if subparsers is not None: + parser = subparsers.add_parser("env") + else: + parser = argparse.ArgumentParser("Accelerate env command") + + parser.add_argument( + "--config_file", default=None, help="The config file to use for the default values in the launching script." + ) + + if subparsers is not None: + parser.set_defaults(func=env_command) + return parser + + +def env_command(args): + pt_version = torch.__version__ + pt_cuda_available = torch.cuda.is_available() + pt_xpu_available = is_xpu_available() + pt_mlu_available = is_mlu_available() + pt_sdaa_available = is_sdaa_available() + pt_musa_available = is_musa_available() + pt_npu_available = is_npu_available() + + accelerator = "N/A" + if pt_cuda_available: + accelerator = "CUDA" + elif pt_xpu_available: + accelerator = "XPU" + elif pt_mlu_available: + accelerator = "MLU" + elif pt_sdaa_available: + accelerator = "SDAA" + elif pt_musa_available: + accelerator = "MUSA" + elif pt_npu_available: + accelerator = "NPU" + + accelerate_config = "Not found" + # Get the default from the config file. + if args.config_file is not None or os.path.isfile(default_config_file): + accelerate_config = load_config_from_file(args.config_file).to_dict() + + # if we can run which, get it + command = None + bash_location = "Not found" + if os.name == "nt": + command = ["where", "accelerate"] + elif os.name == "posix": + command = ["which", "accelerate"] + if command is not None: + bash_location = subprocess.check_output(command, text=True, stderr=subprocess.STDOUT).strip() + info = { + "`Accelerate` version": version, + "Platform": platform.platform(), + "`accelerate` bash location": bash_location, + "Python version": platform.python_version(), + "Numpy version": np.__version__, + "PyTorch version": f"{pt_version}", + "PyTorch accelerator": accelerator, + "System RAM": f"{psutil.virtual_memory().total / 1024**3:.2f} GB", + } + if pt_cuda_available: + info["GPU type"] = torch.cuda.get_device_name() + elif pt_xpu_available: + info["XPU type"] = torch.xpu.get_device_name() + elif pt_mlu_available: + info["MLU type"] = torch.mlu.get_device_name() + elif pt_sdaa_available: + info["SDAA type"] = torch.sdaa.get_device_name() + elif pt_musa_available: + info["MUSA type"] = torch.musa.get_device_name() + elif pt_npu_available: + info["CANN version"] = torch.version.cann + + print("\nCopy-and-paste the text below in your GitHub issue\n") + print("\n".join([f"- {prop}: {val}" for prop, val in info.items()])) + + print("- `Accelerate` default config:" if args.config_file is None else "- `Accelerate` config passed:") + accelerate_config_str = ( + "\n".join([f"\t- {prop}: {val}" for prop, val in accelerate_config.items()]) + if isinstance(accelerate_config, dict) + else f"\t{accelerate_config}" + ) + print(accelerate_config_str) + + info["`Accelerate` configs"] = accelerate_config + + return info + + +def main() -> int: + parser = env_command_parser() + args = parser.parse_args() + env_command(args) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/estimate.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/estimate.py new file mode 100644 index 0000000000000000000000000000000000000000..a1370e5a76c177a0616c49a9716aeafef1a117f6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/estimate.py @@ -0,0 +1,316 @@ +#!/usr/bin/env python + +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from typing import Optional + +import torch +from huggingface_hub import model_info +from huggingface_hub.utils import GatedRepoError, RepositoryNotFoundError + +from accelerate import init_empty_weights +from accelerate.commands.utils import CustomArgumentParser +from accelerate.utils import ( + calculate_maximum_sizes, + convert_bytes, + is_timm_available, + is_transformers_available, +) + + +if is_transformers_available(): + import transformers + from transformers import AutoConfig, AutoModel + +if is_timm_available(): + import timm + + +def verify_on_hub(repo: str, token: Optional[str] = None): + "Verifies that the model is on the hub and returns the model info." + try: + return model_info(repo, token=token) + except (OSError, GatedRepoError): + return "gated" + except RepositoryNotFoundError: + return "repo" + + +def check_has_model(error): + """ + Checks what library spawned `error` when a model is not found + """ + if is_timm_available() and isinstance(error, RuntimeError) and "Unknown model" in error.args[0]: + return "timm" + elif ( + is_transformers_available() + and isinstance(error, OSError) + and "does not appear to have a file named" in error.args[0] + ): + return "transformers" + else: + return "unknown" + + +def create_empty_model( + model_name: str, library_name: str, trust_remote_code: bool = False, access_token: Optional[str] = None +): + """ + Creates an empty model in full precision from its parent library on the `Hub` to calculate the overall memory + consumption. + + Args: + model_name (`str`): + The model name on the Hub + library_name (`str`): + The library the model has an integration with, such as `transformers`. Will be used if `model_name` has no + metadata on the Hub to determine the library. + trust_remote_code (`bool`, `optional`, defaults to `False`): + Whether or not to allow for custom models defined on the Hub in their own modeling files. This option + should only be set to `True` for repositories you trust and in which you have read the code, as it will + execute code present on the Hub on your local machine. + access_token (`str`, `optional`, defaults to `None`): + The access token to use to access private or gated models on the Hub. (for use on the Gradio app) + + Returns: + `torch.nn.Module`: The torch model that has been initialized on the `meta` device. + + """ + model_info = verify_on_hub(model_name, access_token) + # Simplified errors + if model_info == "gated": + raise GatedRepoError( + f"Repo for model `{model_name}` is gated. You must be authenticated to access it. Please run `huggingface-cli login`." + ) + elif model_info == "repo": + raise RepositoryNotFoundError( + f"Repo for model `{model_name}` does not exist on the Hub. If you are trying to access a private repo," + " make sure you are authenticated via `huggingface-cli login` and have access." + ) + if library_name is None: + library_name = getattr(model_info, "library_name", False) + if not library_name: + raise ValueError( + f"Model `{model_name}` does not have any library metadata on the Hub, please manually pass in a `--library_name` to use (such as `transformers`)" + ) + if library_name == "transformers": + if not is_transformers_available(): + raise ImportError( + f"To check `{model_name}`, `transformers` must be installed. Please install it via `pip install transformers`" + ) + print(f"Loading pretrained config for `{model_name}` from `transformers`...") + if model_info.config is None: + raise RuntimeError(f"Tried to load `{model_name}` with `transformers` but it does not have any metadata.") + + auto_map = model_info.config.get("auto_map", False) + config = AutoConfig.from_pretrained(model_name, trust_remote_code=trust_remote_code, token=access_token) + with init_empty_weights(): + # remote code could specify a specific `AutoModel` class in the `auto_map` + constructor = AutoModel + if isinstance(auto_map, dict): + value = None + for key in auto_map.keys(): + if key.startswith("AutoModelFor"): + value = key + break + if value is not None: + constructor = getattr(transformers, value) + # we need to pass the dtype, otherwise it is going to use the torch_dtype that is saved in the config + model = constructor.from_config(config, torch_dtype=torch.float32, trust_remote_code=trust_remote_code) + elif library_name == "timm": + if not is_timm_available(): + raise ImportError( + f"To check `{model_name}`, `timm` must be installed. Please install it via `pip install timm`" + ) + print(f"Loading pretrained config for `{model_name}` from `timm`...") + with init_empty_weights(): + model = timm.create_model(model_name, pretrained=False) + else: + raise ValueError( + f"Library `{library_name}` is not supported yet, please open an issue on GitHub for us to add support." + ) + return model + + +def create_ascii_table(headers: list, rows: list, title: str): + "Creates a pretty table from a list of rows, minimal version of `tabulate`." + sep_char, in_between = "│", "─" + column_widths = [] + for i in range(len(headers)): + column_values = [row[i] for row in rows] + [headers[i]] + max_column_width = max(len(value) for value in column_values) + column_widths.append(max_column_width) + + formats = [f"%{column_widths[i]}s" for i in range(len(rows[0]))] + + pattern = f"{sep_char}{sep_char.join(formats)}{sep_char}" + diff = 0 + + def make_row(left_char, middle_char, right_char): + return f"{left_char}{middle_char.join([in_between * n for n in column_widths])}{in_between * diff}{right_char}" + + separator = make_row("├", "┼", "┤") + if len(title) > sum(column_widths): + diff = abs(len(title) - len(separator)) + column_widths[-1] += diff + + # Update with diff + separator = make_row("├", "┼", "┤") + initial_rows = [ + make_row("┌", in_between, "┐"), + f"{sep_char}{title.center(len(separator) - 2)}{sep_char}", + make_row("├", "┬", "┤"), + ] + table = "\n".join(initial_rows) + "\n" + column_widths[-1] += diff + centered_line = [text.center(column_widths[i]) for i, text in enumerate(headers)] + table += f"{pattern % tuple(centered_line)}\n{separator}\n" + for i, line in enumerate(rows): + centered_line = [t.center(column_widths[i]) for i, t in enumerate(line)] + table += f"{pattern % tuple(centered_line)}\n" + table += f"└{'┴'.join([in_between * n for n in column_widths])}┘" + + return table + + +def estimate_command_parser(subparsers=None): + if subparsers is not None: + parser = subparsers.add_parser("estimate-memory") + else: + parser = CustomArgumentParser(description="Model size estimator for fitting a model onto CUDA memory.") + + parser.add_argument("model_name", type=str, help="The model name on the Hugging Face Hub.") + parser.add_argument( + "--library_name", + type=str, + help="The library the model has an integration with, such as `transformers`, needed only if this information is not stored on the Hub.", + choices=["timm", "transformers"], + ) + parser.add_argument( + "--dtypes", + type=str, + nargs="+", + default=["float32", "float16", "int8", "int4"], + help="The dtypes to use for the model, must be one (or many) of `float32`, `float16`, `int8`, and `int4`", + choices=["float32", "float16", "int8", "int4"], + ) + parser.add_argument( + "--trust_remote_code", + action="store_true", + help="""Whether or not to allow for custom models defined on the Hub in their own modeling files. This flag + should only be used for repositories you trust and in which you have read the code, as it will execute + code present on the Hub on your local machine.""", + default=False, + ) + + if subparsers is not None: + parser.set_defaults(func=estimate_command) + return parser + + +def estimate_training_usage(bytes: int, mixed_precision: str, msamp_config: Optional[str] = None) -> dict: + """ + Given an amount of `bytes` and `mixed_precision`, calculates how much training memory is needed for a batch size of + 1. + + Args: + bytes (`int`): + The size of the model being trained. + mixed_precision (`str`): + The mixed precision that would be ran. + msamp_config (`str`): + The msamp config to estimate the training memory for if `mixed_precision` is set to `"fp8"`. + """ + memory_sizes = {"model": -1, "optimizer": -1, "gradients": -1, "step": -1} + fp32_size = bytes + fp16_size = bytes // 2 + + if mixed_precision == "float32": + memory_sizes["model"] = fp32_size + memory_sizes["gradients"] = fp32_size + memory_sizes["optimizer"] = fp32_size * 2 + memory_sizes["step"] = fp32_size * 4 + elif mixed_precision in ("float16", "bfloat16") or (mixed_precision == "fp8" and msamp_config is None): + # With native `TransformersEngine`, there is no memory savings with FP8 + # With mixed precision training, the model has weights stored + # in FP16 and FP32 + memory_sizes["model"] = fp32_size + # 1.5 from weight gradient + computation (GEMM) + memory_sizes["gradients"] = fp32_size + fp16_size + # 2x from optimizer states + memory_sizes["optimizer"] = fp32_size * 2 # Optimizer states + memory_sizes["step"] = memory_sizes["optimizer"] + return memory_sizes + + +def gather_data(args): + "Creates an empty model and gathers the data for the sizes" + try: + model = create_empty_model( + args.model_name, library_name=args.library_name, trust_remote_code=args.trust_remote_code + ) + except (RuntimeError, OSError) as e: + library = check_has_model(e) + if library != "unknown": + raise RuntimeError( + f"Tried to load `{args.model_name}` with `{library}` but a possible model to load was not found inside the repo." + ) + raise e + + total_size, largest_layer = calculate_maximum_sizes(model) + + data = [] + + for dtype in args.dtypes: + dtype_total_size = total_size + dtype_largest_layer = largest_layer[0] + dtype_training_size = estimate_training_usage(dtype_total_size, dtype) + if dtype == "float16": + dtype_total_size /= 2 + dtype_largest_layer /= 2 + elif dtype == "int8": + dtype_total_size /= 4 + dtype_largest_layer /= 4 + elif dtype == "int4": + dtype_total_size /= 8 + dtype_largest_layer /= 8 + data.append([dtype, dtype_largest_layer, dtype_total_size, dtype_training_size]) + return data + + +def estimate_command(args): + data = gather_data(args) + for row in data: + for i, item in enumerate(row): + if isinstance(item, (int, float)): + row[i] = convert_bytes(item) + elif isinstance(item, dict): + training_usage = max(item.values()) + row[i] = convert_bytes(training_usage) if training_usage != -1 else "N/A" + + headers = ["dtype", "Largest Layer", "Total Size", "Training using Adam"] + + title = f"Memory Usage for loading `{args.model_name}`" + table = create_ascii_table(headers, data, title) + print(table) + + +def main(): + parser = estimate_command_parser() + args = parser.parse_args() + estimate_command(args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/launch.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/launch.py new file mode 100644 index 0000000000000000000000000000000000000000..6da31c52312ddcd407d838d3b7753a93ca319d14 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/launch.py @@ -0,0 +1,1291 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse +import importlib +import logging +import os +import subprocess +import sys +from pathlib import Path + +import psutil +import torch + +from accelerate.commands.config import default_config_file, load_config_from_file +from accelerate.commands.config.config_args import SageMakerConfig +from accelerate.commands.config.config_utils import DYNAMO_BACKENDS +from accelerate.commands.utils import CustomArgumentParser +from accelerate.state import get_int_from_env +from accelerate.utils import ( + ComputeEnvironment, + DistributedType, + PrepareForLaunch, + _filter_args, + check_cuda_p2p_ib_support, + convert_dict_to_env_variables, + is_bf16_available, + is_deepspeed_available, + is_hpu_available, + is_mlu_available, + is_musa_available, + is_npu_available, + is_rich_available, + is_sagemaker_available, + is_sdaa_available, + is_torch_xla_available, + is_xpu_available, + patch_environment, + prepare_deepspeed_cmd_env, + prepare_multi_gpu_env, + prepare_sagemager_args_inputs, + prepare_simple_launcher_cmd_env, + prepare_tpu, + str_to_bool, +) +from accelerate.utils.constants import DEEPSPEED_MULTINODE_LAUNCHERS, TORCH_DYNAMO_MODES + + +if is_rich_available(): + from rich import get_console + from rich.logging import RichHandler + + FORMAT = "%(message)s" + logging.basicConfig(format=FORMAT, datefmt="[%X]", handlers=[RichHandler()]) + + +logger = logging.getLogger(__name__) + + +options_to_group = { + "multi_gpu": "Distributed GPUs", + "tpu": "TPU", + "use_deepspeed": "DeepSpeed Arguments", + "use_fsdp": "FSDP Arguments", + "use_megatron_lm": "Megatron-LM Arguments", + "fp8_backend": "FP8 Arguments", +} + + +def clean_option(option): + "Finds all cases of - after the first two characters and changes them to _" + if "fp8_backend" in option: + option = "--fp8_backend" + if option.startswith("--"): + return option[2:].replace("-", "_") + + +class CustomHelpFormatter(argparse.HelpFormatter): + """ + This is a custom help formatter that will hide all arguments that are not used in the command line when the help is + called. This is useful for the case where the user is using a specific platform and only wants to see the arguments + for that platform. + """ + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.titles = [ + "Hardware Selection Arguments", + "Resource Selection Arguments", + "Training Paradigm Arguments", + "positional arguments", + "optional arguments", + ] + + def add_argument(self, action: argparse.Action): + if "accelerate" in sys.argv[0] and "launch" in sys.argv[1:]: + args = sys.argv[2:] + else: + args = sys.argv[1:] + + if len(args) > 1: + args = list(map(clean_option, args)) + used_platforms = [arg for arg in args if arg in options_to_group.keys()] + used_titles = [options_to_group[o] for o in used_platforms] + if action.container.title not in self.titles + used_titles: + action.help = argparse.SUPPRESS + elif action.container.title == "Hardware Selection Arguments": + if set(action.option_strings).isdisjoint(set(args)): + action.help = argparse.SUPPRESS + else: + action.help = action.help + " (currently selected)" + elif action.container.title == "Training Paradigm Arguments": + if set(action.option_strings).isdisjoint(set(args)): + action.help = argparse.SUPPRESS + else: + action.help = action.help + " (currently selected)" + + action.option_strings = [s for s in action.option_strings if "-" not in s[2:]] + super().add_argument(action) + + def end_section(self): + if len(self._current_section.items) < 2: + self._current_section.items = [] + self._current_section.heading = "" + super().end_section() + + +def launch_command_parser(subparsers=None): + description = "Launch a python script in a distributed scenario. Arguments can be passed in with either hyphens (`--num-processes=2`) or underscores (`--num_processes=2`)" + if subparsers is not None: + parser = subparsers.add_parser( + "launch", description=description, add_help=False, allow_abbrev=False, formatter_class=CustomHelpFormatter + ) + else: + parser = CustomArgumentParser( + "Accelerate launch command", + description=description, + add_help=False, + allow_abbrev=False, + formatter_class=CustomHelpFormatter, + ) + + parser.add_argument("-h", "--help", action="help", help="Show this help message and exit.") + + parser.add_argument( + "--config_file", + default=None, + help="The config file to use for the default values in the launching script.", + ) + parser.add_argument( + "--quiet", + "-q", + action="store_true", + help="Silence subprocess errors from the launch stack trace and only show the relevant tracebacks. (Only applicable to DeepSpeed and single-process configurations)", + ) + # Hardware selection arguments + hardware_args = parser.add_argument_group( + "Hardware Selection Arguments", "Arguments for selecting the hardware to be used." + ) + hardware_args.add_argument( + "--cpu", default=False, action="store_true", help="Whether or not to force the training on the CPU." + ) + hardware_args.add_argument( + "--multi_gpu", + default=False, + action="store_true", + help="Whether or not this should launch a distributed GPU training.", + ) + hardware_args.add_argument( + "--tpu", default=False, action="store_true", help="Whether or not this should launch a TPU training." + ) + # Resource selection arguments + resource_args = parser.add_argument_group( + "Resource Selection Arguments", "Arguments for fine-tuning how available hardware should be used." + ) + resource_args.add_argument( + "--mixed_precision", + type=str, + choices=["no", "fp16", "bf16", "fp8"], + help="Whether or not to use mixed precision training. " + "Choose between FP16 and BF16 (bfloat16) training. " + "BF16 training is only supported on Nvidia Ampere GPUs and PyTorch 1.10 or later.", + ) + resource_args.add_argument( + "--num_processes", type=int, default=None, help="The total number of processes to be launched in parallel." + ) + resource_args.add_argument( + "--num_machines", type=int, default=None, help="The total number of machines used in this training." + ) + resource_args.add_argument( + "--num_cpu_threads_per_process", + type=int, + default=None, + help="The number of CPU threads per process. Can be tuned for optimal performance.", + ) + resource_args.add_argument( + "--enable_cpu_affinity", + default=False, + action="store_true", + help="Whether or not CPU affinity and balancing should be enabled. Currently only supported on NVIDIA hardware.", + ) + # Dynamo arguments + resource_args.add_argument( + "--dynamo_backend", + type=str, + choices=["no"] + [b.lower() for b in DYNAMO_BACKENDS], + help="Choose a backend to optimize your training with dynamo, see more at " + "https://github.com/pytorch/torchdynamo.", + ) + resource_args.add_argument( + "--dynamo_mode", + type=str, + default="default", + choices=TORCH_DYNAMO_MODES, + help="Choose a mode to optimize your training with dynamo.", + ) + resource_args.add_argument( + "--dynamo_use_fullgraph", + default=False, + action="store_true", + help="Whether to use full graph mode for dynamo or it is ok to break model into several subgraphs", + ) + resource_args.add_argument( + "--dynamo_use_dynamic", + default=False, + action="store_true", + help="Whether to enable dynamic shape tracing.", + ) + resource_args.add_argument( + "--dynamo_use_regional_compilation", + default=False, + action="store_true", + help="Whether to enable regional compilation.", + ) + + # Training Paradigm arguments + paradigm_args = parser.add_argument_group( + "Training Paradigm Arguments", "Arguments for selecting which training paradigm to be used." + ) + paradigm_args.add_argument( + "--use_deepspeed", + default=False, + action="store_true", + help="Whether to use deepspeed.", + ) + paradigm_args.add_argument( + "--use_fsdp", + default=False, + action="store_true", + help="Whether to use fsdp.", + ) + paradigm_args.add_argument( + "--use_parallelism_config", + default=False, + action="store_true", + help="Whether to use the parallelism config to configure the N-d distributed training.", + ) + paradigm_args.add_argument( + "--use_megatron_lm", + default=False, + action="store_true", + help="Whether to use Megatron-LM.", + ) + + paradigm_args.add_argument( + "--use_xpu", + default=None, + action="store_true", + help="Whether to use IPEX plugin to speed up training on XPU specifically. This argument is deprecated and ignored, will be removed in Accelerate v1.20.", + ) + + # distributed GPU training arguments + distributed_args = parser.add_argument_group("Distributed GPUs", "Arguments related to distributed GPU training.") + distributed_args.add_argument( + "--gpu_ids", + default=None, + help="What GPUs (by id) should be used for training on this machine as a comma-separated list", + ) + distributed_args.add_argument( + "--same_network", + default=False, + action="store_true", + help="Whether all machines used for multinode training exist on the same local network.", + ) + distributed_args.add_argument( + "--machine_rank", type=int, default=None, help="The rank of the machine on which this script is launched." + ) + distributed_args.add_argument( + "--main_process_ip", type=str, default=None, help="The IP address of the machine of rank 0." + ) + distributed_args.add_argument( + "--main_process_port", + type=int, + default=None, + help="The port to use to communicate with the machine of rank 0.", + ) + distributed_args.add_argument( + "-t", + "--tee", + default="0", + type=str, + help="Tee std streams into a log file and also to console.", + ) + distributed_args.add_argument( + "--log_dir", + type=str, + default=None, + help=( + "Base directory to use for log files when using torchrun/torch.distributed.run as launcher. " + "Use with --tee to redirect std streams info log files." + ), + ) + distributed_args.add_argument( + "--role", + type=str, + default="default", + help="User-defined role for the workers.", + ) + # Rendezvous related arguments + distributed_args.add_argument( + "--rdzv_backend", + type=str, + default="static", + help="The rendezvous method to use, such as 'static' (the default) or 'c10d'", + ) + distributed_args.add_argument( + "--rdzv_conf", + type=str, + default="", + help="Additional rendezvous configuration (=,=,...).", + ) + distributed_args.add_argument( + "--max_restarts", + type=int, + default=0, + help="Maximum number of worker group restarts before failing.", + ) + distributed_args.add_argument( + "--monitor_interval", + type=float, + default=0.1, + help="Interval, in seconds, to monitor the state of workers.", + ) + parser.add_argument( + "-m", + "--module", + action="store_true", + help="Change each process to interpret the launch script as a Python module, executing with the same behavior as 'python -m'.", + ) + parser.add_argument( + "--no_python", + action="store_true", + help="Skip prepending the training script with 'python' - just execute it directly. Useful when the script is not a Python script.", + ) + + # TPU arguments + tpu_args = parser.add_argument_group("TPU", "Arguments related to TPU.") + tpu_args.add_argument( + "--tpu_cluster", + action="store_true", + dest="tpu_use_cluster", + help="Whether to use a GCP TPU pod for training.", + ) + tpu_args.add_argument( + "--no_tpu_cluster", + action="store_false", + dest="tpu_use_cluster", + help="Should not be passed explicitly, this is for internal use only.", + ) + tpu_args.add_argument( + "--tpu_use_sudo", + action="store_true", + help="Whether to use `sudo` when running the TPU training script in each pod.", + ) + tpu_args.add_argument( + "--vm", + type=str, + action="append", + help=( + "List of single Compute VM instance names. " + "If not provided we assume usage of instance groups. For TPU pods." + ), + ) + tpu_args.add_argument( + "--env", + type=str, + action="append", + help="List of environment variables to set on the Compute VM instances. For TPU pods.", + ) + tpu_args.add_argument( + "--main_training_function", + type=str, + default=None, + help="The name of the main function to be executed in your script (only for TPU training).", + ) + tpu_args.add_argument( + "--downcast_bf16", + action="store_true", + help="Whether when using bf16 precision on TPUs if both float and double tensors are cast to bfloat16 or if double tensors remain as float32.", + ) + + # DeepSpeed arguments + deepspeed_args = parser.add_argument_group("DeepSpeed Arguments", "Arguments related to DeepSpeed.") + deepspeed_args.add_argument( + "--deepspeed_config_file", + default=None, + type=str, + help="DeepSpeed config file.", + ) + deepspeed_args.add_argument( + "--zero_stage", + default=None, + type=int, + help="DeepSpeed's ZeRO optimization stage (useful only when `use_deepspeed` flag is passed). " + "If unspecified, will default to `2`.", + ) + deepspeed_args.add_argument( + "--offload_optimizer_device", + default=None, + type=str, + help="Decides where (none|cpu|nvme) to offload optimizer states (useful only when `use_deepspeed` flag is passed). " + "If unspecified, will default to 'none'.", + ) + deepspeed_args.add_argument( + "--offload_param_device", + default=None, + type=str, + help="Decides where (none|cpu|nvme) to offload parameters (useful only when `use_deepspeed` flag is passed). " + "If unspecified, will default to 'none'.", + ) + deepspeed_args.add_argument( + "--offload_optimizer_nvme_path", + default=None, + type=str, + help="Decides Nvme Path to offload optimizer states (useful only when `use_deepspeed` flag is passed). " + "If unspecified, will default to 'none'.", + ) + deepspeed_args.add_argument( + "--offload_param_nvme_path", + default=None, + type=str, + help="Decides Nvme Path to offload parameters (useful only when `use_deepspeed` flag is passed). " + "If unspecified, will default to 'none'.", + ) + deepspeed_args.add_argument( + "--gradient_accumulation_steps", + default=None, + type=int, + help="No of gradient_accumulation_steps used in your training script (useful only when `use_deepspeed` flag is passed). " + "If unspecified, will default to `1`.", + ) + deepspeed_args.add_argument( + "--gradient_clipping", + default=None, + type=float, + help="gradient clipping value used in your training script (useful only when `use_deepspeed` flag is passed). " + "If unspecified, will default to `1.0`.", + ) + deepspeed_args.add_argument( + "--zero3_init_flag", + default=None, + type=str, + help="Decides Whether (true|false) to enable `deepspeed.zero.Init` for constructing massive models. " + "Only applicable with DeepSpeed ZeRO Stage-3. If unspecified, will default to `true`.", + ) + deepspeed_args.add_argument( + "--zero3_save_16bit_model", + default=None, + type=str, + help="Decides Whether (true|false) to save 16-bit model weights when using ZeRO Stage-3. " + "Only applicable with DeepSpeed ZeRO Stage-3. If unspecified, will default to `false`.", + ) + deepspeed_args.add_argument( + "--deepspeed_hostfile", + default=None, + type=str, + help="DeepSpeed hostfile for configuring multi-node compute resources.", + ) + deepspeed_args.add_argument( + "--deepspeed_exclusion_filter", + default=None, + type=str, + help="DeepSpeed exclusion filter string when using multi-node setup.", + ) + deepspeed_args.add_argument( + "--deepspeed_inclusion_filter", + default=None, + type=str, + help="DeepSpeed inclusion filter string when using multi-node setup.", + ) + deepspeed_args.add_argument( + "--deepspeed_multinode_launcher", + default=None, + type=str, + help="DeepSpeed multi-node launcher to use, e.g. `pdsh`, `standard`, `openmpi`, `mvapich`, `mpich`, `slurm`, `nossh` (requires DeepSpeed >= 0.14.5). If unspecified, will default to `pdsh`.", + ) + deepspeed_args.add_argument( + "--deepspeed_moe_layer_cls_names", + default=None, + type=str, + help="comma-separated list of transformer MoE layer class names (case-sensitive) to wrap ,e.g, `MixtralSparseMoeBlock`, `Qwen2MoeSparseMoeBlock`, `JetMoEAttention,JetMoEBlock` ..." + " (useful only when `use_deepspeed` flag is passed).", + ) + + # fsdp arguments + fsdp_args = parser.add_argument_group("FSDP Arguments", "Arguments related to Fully Shared Data Parallelism.") + fsdp_args.add_argument( + "--fsdp_version", + type=str, + default="1", + choices=["1", "2"], + help="FSDP version to use. (useful only when `use_fsdp` flag is passed).", + ) + fsdp_args.add_argument( + "--fsdp_offload_params", + default="false", + type=str, + help="Decides Whether (true|false) to offload parameters and gradients to CPU. (useful only when `use_fsdp` flag is passed).", + ) + fsdp_args.add_argument( + "--fsdp_min_num_params", + type=int, + default=1e8, + help="FSDP's minimum number of parameters for Default Auto Wrapping. (useful only when `use_fsdp` flag is passed).", + ) + # We enable this for backwards compatibility, throw a warning if this is set in `FullyShardedDataParallelPlugin` + fsdp_args.add_argument( + "--fsdp_sharding_strategy", + type=str, + default="FULL_SHARD", + help="FSDP's sharding strategy. (useful only when `use_fsdp` flag is passed and `fsdp_version=1`).", + ) + fsdp_args.add_argument( + "--fsdp_reshard_after_forward", + type=str, + default="true", + help="FSDP's Reshard After Forward Strategy. (useful only when `use_fsdp` flag is passed). Supports either boolean (FSDP2) or `FULL_SHARD | SHARD_GRAD_OP | NO_RESHARD` (FSDP1).", + ) + fsdp_args.add_argument( + "--fsdp_auto_wrap_policy", + type=str, + default=None, + help="FSDP's auto wrap policy. (useful only when `use_fsdp` flag is passed).", + ) + fsdp_args.add_argument( + "--fsdp_transformer_layer_cls_to_wrap", + default=None, + type=str, + help="Transformer layer class name (case-sensitive) to wrap ,e.g, `BertLayer`, `GPTJBlock`, `T5Block` .... " + "(useful only when `use_fsdp` flag is passed).", + ) + fsdp_args.add_argument( + "--fsdp_backward_prefetch", + default=None, + type=str, + help="FSDP's backward prefetch policy. (useful only when `use_fsdp` flag is passed).", + ) + fsdp_args.add_argument( + "--fsdp_state_dict_type", + default=None, + type=str, + help="FSDP's state dict type. (useful only when `use_fsdp` flag is passed).", + ) + fsdp_args.add_argument( + "--fsdp_forward_prefetch", + default="false", + type=str, + help="If True, then FSDP explicitly prefetches the next upcoming " + "all-gather while executing in the forward pass (useful only when `use_fsdp` flag is passed).", + ) + fsdp_args.add_argument( + "--fsdp_use_orig_params", + default="true", + type=str, + help="If True, allows non-uniform `requires_grad` during init, which means support for interspersed frozen and trainable parameters." + " (useful only when `use_fsdp` flag is passed).", + ) + fsdp_args.add_argument( + "--fsdp_cpu_ram_efficient_loading", + default="true", + type=str, + help="If True, only the first process loads the pretrained model checkoint while all other processes have empty weights. " + "Only applicable for 🤗 Transformers. When using this, `--fsdp_sync_module_states` needs to True. " + "(useful only when `use_fsdp` flag is passed).", + ) + fsdp_args.add_argument( + "--fsdp_sync_module_states", + default="true", + type=str, + help="If True, each individually wrapped FSDP unit will broadcast module parameters from rank 0." + " (useful only when `use_fsdp` flag is passed).", + ) + fsdp_args.add_argument( + "--fsdp_activation_checkpointing", + default="false", + type=str, + help="Decides Whether (true|false) intermediate activations are freed during the forward pass, and a checkpoint is left as a placeholder. (useful only when `use_fsdp` flag is passed).", + ) + + # megatron_lm args + megatron_lm_args = parser.add_argument_group("Megatron-LM Arguments", "Arguments related to Megatron-LM.") + megatron_lm_args.add_argument( + "--megatron_lm_tp_degree", + type=int, + default=1, + help="Megatron-LM's Tensor Parallelism (TP) degree. (useful only when `use_megatron_lm` flag is passed).", + ) + megatron_lm_args.add_argument( + "--megatron_lm_pp_degree", + type=int, + default=1, + help="Megatron-LM's Pipeline Parallelism (PP) degree. (useful only when `use_megatron_lm` flag is passed).", + ) + megatron_lm_args.add_argument( + "--megatron_lm_num_micro_batches", + type=int, + default=None, + help="Megatron-LM's number of micro batches when PP degree > 1. (useful only when `use_megatron_lm` flag is passed).", + ) + megatron_lm_args.add_argument( + "--megatron_lm_sequence_parallelism", + default=None, + type=str, + help="Decides Whether (true|false) to enable Sequence Parallelism when TP degree > 1. " + "(useful only when `use_megatron_lm` flag is passed).", + ) + megatron_lm_args.add_argument( + "--megatron_lm_recompute_activations", + default=None, + type=str, + help="Decides Whether (true|false) to enable Selective Activation Recomputation. " + "(useful only when `use_megatron_lm` flag is passed).", + ) + megatron_lm_args.add_argument( + "--megatron_lm_use_distributed_optimizer", + default=None, + type=str, + help="Decides Whether (true|false) to use distributed optimizer " + "which shards optimizer state and gradients across Data Pralellel (DP) ranks. " + "(useful only when `use_megatron_lm` flag is passed).", + ) + megatron_lm_args.add_argument( + "--megatron_lm_gradient_clipping", + default=1.0, + type=float, + help="Megatron-LM's gradient clipping value based on global L2 Norm (0 to disable). " + "(useful only when `use_megatron_lm` flag is passed).", + ) + + # FP8 arguments + fp8_args = parser.add_argument_group( + "FP8 Arguments", "Arguments related to FP8 training (requires `--mixed_precision=fp8`)" + ) + fp8_args.add_argument( + "--fp8_backend", + type=str, + choices=["te", "msamp"], + help="Choose a backend to train with FP8 (te: TransformerEngine, msamp: MS-AMP)", + ) + fp8_args.add_argument( + "--fp8_use_autocast_during_eval", + default=False, + action="store_true", + help="Whether to use FP8 autocast during eval mode (useful only when `--fp8_backend=te` is passed). Generally better metrics are found when this is not passed.", + ) + fp8_args.add_argument( + "--fp8_margin", + type=int, + default=0, + help="The margin to use for the gradient scaling (useful only when `--fp8_backend=te` is passed).", + ) + fp8_args.add_argument( + "--fp8_interval", + type=int, + default=1, + help="The interval to use for how often the scaling factor is recomputed (useful only when `--fp8_backend=te` is passed).", + ) + fp8_args.add_argument( + "--fp8_format", + type=str, + default="HYBRID", + choices=["HYBRID", "E4M3", "E5M2"], + help="The format to use for the FP8 recipe (useful only when `--fp8_backend=te` is passed).", + ) + fp8_args.add_argument( + "--fp8_amax_history_len", + type=int, + default=1024, + help="The length of the history to use for the scaling factor computation (useful only when `--fp8_backend=te` is passed).", + ) + fp8_args.add_argument( + "--fp8_amax_compute_algo", + type=str, + default="most_recent", + choices=["max", "most_recent"], + help="The algorithm to use for the scaling factor computation. (useful only when `--fp8_backend=te` is passed).", + ) + fp8_args.add_argument( + "--fp8_override_linear_precision", + type=lambda x: tuple(map(str_to_bool, x.split(","))), + default=(False, False, False), + help="Whether or not to execute `fprop`, `dgrad`, and `wgrad` GEMMS in higher precision. Should be passed in a comma-separated string of booleans (useful only when `--fp8_backend=te` is passed).", + ) + fp8_args.add_argument( + "--fp8_opt_level", + type=str, + default="O2", + choices=["O1", "O2"], + help="What level of 8-bit collective communication should be used with MS-AMP (useful only when `--fp8_backend=msamp` is passed).", + ) + + # AWS arguments + aws_args = parser.add_argument_group("AWS Arguments", "Arguments related to AWS.") + aws_args.add_argument( + "--aws_access_key_id", + type=str, + default=None, + help="The AWS_ACCESS_KEY_ID used to launch the Amazon SageMaker training job", + ) + aws_args.add_argument( + "--aws_secret_access_key", + type=str, + default=None, + help="The AWS_SECRET_ACCESS_KEY used to launch the Amazon SageMaker training job.", + ) + parser.add_argument( + "--debug", + action="store_true", + help="Whether to print out the torch.distributed stack trace when something fails.", + ) + parser.add_argument( + "training_script", + type=str, + help=( + "The full path to the script to be launched in parallel, followed by all the arguments for the training " + "script." + ), + ) + + # MPI arguments + mpirun_args = parser.add_argument_group("MPI Arguments", "Arguments related to mpirun for Multi-CPU") + mpirun_args.add_argument( + "--mpirun_hostfile", + type=str, + default=None, + help="Location for a hostfile for using Accelerate to launch a multi-CPU training job with mpirun. This will " + "get passed to the MPI --hostfile or -f parameter, depending on which MPI program is installed.", + ) + mpirun_args.add_argument( + "--mpirun_ccl", + type=int, + default=1, + help="The number of oneCCL worker threads when using Accelerate to launch multi-CPU training with mpirun.", + ) + + # ParallelismConfig arguments + parallelism_config_args = parser.add_argument_group( + "ParallelismConfig Arguments", + "Arguments related to the ParallelismConfig used for distributed training.", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_dp_replicate_size", + type=int, + default=1, + help="The number of processes for data parallel training. Defaults to 1 (no data parallelism).", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_dp_shard_size", + type=int, + default=1, + help="The number of processes for FSDP sharding. Defaults to 1 (No FSDP sharding).", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_tp_size", + type=int, + default=1, + help="The number of processes for tensor parallel training. Defaults to 1 (no tensor parallelism).", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_cp_size", + type=int, + default=1, + help="The number of processese for context parallel training. Defaults to 1 (no context parallelism).", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_cp_backend", + type=str, + choices=["torch"], + default="torch", + help="Context Parallelism backend: torch (FSDP2) or deepspeed (ALST/Ulysses)", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_cp_comm_strategy", + type=str, + default="allgather", + help="The communication strategy for context parallel training. Defaults to 'allgather'. Other option is alltoall", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_sp_size", + type=int, + default=1, + help="The number of processese for context parallel training. Defaults to 1 (no context parallelism).", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_sp_backend", + type=str, + choices=["deepspeed"], + default="deepspeed", + help="Sequence Parallelism backend: deepspeed (ALST/Ulysses)", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_sp_seq_length", + type=str, + default=None, + help="Sequence length for when batches are all of the same length. For variable sequence lengths across batches set `parallelism_config_sp_seq_length_is_variable=True`", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_sp_seq_length_is_variable", + type=bool, + default=True, + help="If `True` will work with a sequence length that may change between batches, in which case `parallelism_config_sp_seq_length` value can be set to anything divisible by sp size or remain unset. If `False` then `parallelism_config_sp_seq_length` needs to match the batch's sequence length dimension. The default is `True`.", + ) + + parallelism_config_args.add_argument( + "--parallelism_config_sp_attn_implementation", + type=str, + default="sdpa", + help="Attention implementation to use. Can be one of 'flash_attention_2', 'flash_attention_3' or 'sdpa'. Defaults to `sdpa`.", + ) + + # Other arguments of the training scripts + parser.add_argument("training_script_args", nargs=argparse.REMAINDER, help="Arguments of the training script.") + + if subparsers is not None: + parser.set_defaults(func=launch_command) + return parser + + +def simple_launcher(args): + cmd, current_env = prepare_simple_launcher_cmd_env(args) + + process = subprocess.Popen(cmd, env=current_env) + process.wait() + if process.returncode != 0: + if not args.quiet: + raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd) + else: + sys.exit(1) + + +def multi_gpu_launcher(args): + import torch.distributed.run as distrib_run + + current_env = prepare_multi_gpu_env(args) + if not check_cuda_p2p_ib_support(): + message = "Using RTX 4000 series which doesn't support faster communication speedups. Ensuring P2P and IB communications are disabled." + warn = False + if "NCCL_P2P_DISABLE" not in current_env: + current_env["NCCL_P2P_DISABLE"] = "1" + warn = True + if "NCCL_IB_DISABLE" not in current_env: + current_env["NCCL_IB_DISABLE"] = "1" + warn = True + if warn: + logger.warning(message) + + debug = getattr(args, "debug", False) + args = _filter_args( + args, + distrib_run.get_args_parser(), + ["--training_script", args.training_script, "--training_script_args", args.training_script_args], + ) + + with patch_environment(**current_env): + try: + distrib_run.run(args) + except Exception: + if is_rich_available() and debug: + console = get_console() + console.print("\n[bold red]Using --debug, `torch.distributed` Stack Trace:[/bold red]") + console.print_exception(suppress=[__file__], show_locals=False) + else: + raise + + +def deepspeed_launcher(args): + import torch.distributed.run as distrib_run + + if not is_deepspeed_available(): + raise ImportError("DeepSpeed is not installed => run `pip3 install deepspeed` or build it from source.") + else: + from deepspeed.launcher.runner import DEEPSPEED_ENVIRONMENT_NAME + + cmd, current_env = prepare_deepspeed_cmd_env(args) + if not check_cuda_p2p_ib_support(): + message = "Using RTX 4000 series which doesn't support faster communication speedups. Ensuring P2P and IB communications are disabled." + warn = False + if "NCCL_P2P_DISABLE" not in current_env: + current_env["NCCL_P2P_DISABLE"] = "1" + warn = True + if "NCCL_IB_DISABLE" not in current_env: + current_env["NCCL_IB_DISABLE"] = "1" + warn = True + if warn: + logger.warning(message) + + if args.num_machines > 1 and args.deepspeed_multinode_launcher != DEEPSPEED_MULTINODE_LAUNCHERS[1]: + with open(DEEPSPEED_ENVIRONMENT_NAME, "a") as f: + valid_env_items = convert_dict_to_env_variables(current_env) + if len(valid_env_items) > 1: + f.writelines(valid_env_items) + + process = subprocess.Popen(cmd, env=current_env) + process.wait() + if process.returncode != 0: + if not args.quiet: + raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd) + else: + sys.exit(1) + else: + debug = getattr(args, "debug", False) + args = _filter_args( + args, + distrib_run.get_args_parser(), + ["--training_script", args.training_script, "--training_script_args", args.training_script_args], + ) + with patch_environment(**current_env): + try: + distrib_run.run(args) + except Exception: + if is_rich_available() and debug: + console = get_console() + console.print("\n[bold red]Using --debug, `torch.distributed` Stack Trace:[/bold red]") + console.print_exception(suppress=[__file__], show_locals=False) + else: + raise + + +def tpu_launcher(args): + import torch_xla.distributed.xla_multiprocessing as xmp + + if args.no_python: + raise ValueError("--no_python cannot be used with TPU launcher") + + args, current_env = prepare_tpu(args, {}) + + if args.module: + mod_name = args.training_script + else: + # Import training_script as a module + script_path = Path(args.training_script) + sys.path.append(str(script_path.parent.resolve())) + mod_name = script_path.stem + + mod = importlib.import_module(mod_name) + if not hasattr(mod, args.main_training_function): + raise ValueError( + f"Your training script should have a function named {args.main_training_function}, or you should pass a " + "different value to `--main_training_function`." + ) + + # Patch sys.argv + sys.argv = [mod.__file__] + args.training_script_args + + main_function = getattr(mod, args.main_training_function) + with patch_environment(**current_env): + xmp.spawn(PrepareForLaunch(main_function), args=()) + + +def tpu_pod_launcher(args): + from torch_xla.distributed import xla_dist + + current_env = {} + args, current_env = prepare_tpu(args, current_env, True) + debug = getattr(args, "debug", False) + + training_script = args.training_script + training_script_args = args.training_script_args + new_args = _filter_args( + args, xla_dist.get_args_parser(), ["--tpu", args.tpu_name, "--positional", "", "--restart-tpuvm-pod-server"] + ) + + if args.tpu_use_sudo: + new_cmd = ["sudo"] + else: + new_cmd = [] + + new_cmd += [ + "accelerate-launch", + "--tpu", + "--no_tpu_cluster", + "--num_machines", + "1", + "--mixed_precision", + "no", + "--dynamo_backend", + "no", + "--num_processes", + str(args.num_processes), + "--main_training_function", + str(args.main_training_function), + training_script, + ] + training_script_args + + new_args.positional = new_cmd + bad_flags = "" + for arg in vars(new_args): + if arg.startswith("docker_"): + value = getattr(new_args, arg) + if value != "" and value is not None: + bad_flags += f'{arg}="{value}"\n' + if bad_flags != "": + raise ValueError( + f"Docker containers are not supported for TPU pod launcher currently, please remove the following flags:\n{bad_flags}" + ) + new_args.env = [f"{k}={v}" for k, v in current_env.items()] + new_args.env.append("ACCELERATE_IN_TPU_POD=1") + try: + xla_dist.resolve_and_execute(new_args) + except Exception: + if is_rich_available() and debug: + console = get_console() + console.print("\n[bold red]Using --debug, `torch_xla.xla_dist` Stack Trace:[/bold red]") + console.print_exception(suppress=[__file__], show_locals=False) + else: + raise + + +def sagemaker_launcher(sagemaker_config: SageMakerConfig, args): + if not is_sagemaker_available(): + raise ImportError( + "Please install sagemaker to be able to launch training on Amazon SageMaker with `pip install accelerate[sagemaker]`" + ) + if args.module or args.no_python: + raise ValueError( + "SageMaker requires a python training script file and cannot be used with --module or --no_python" + ) + + from sagemaker.huggingface import HuggingFace + + args, sagemaker_inputs = prepare_sagemager_args_inputs(sagemaker_config, args) + + huggingface_estimator = HuggingFace(**args) + + huggingface_estimator.fit(inputs=sagemaker_inputs) + print(f"You can find your model data at: {huggingface_estimator.model_data}") + + +def _validate_launch_command(args): + # Sanity checks + if sum([args.multi_gpu, args.cpu, args.tpu, args.use_deepspeed, args.use_fsdp]) > 1: + raise ValueError( + "You can only use one of `--cpu`, `--multi_gpu`, `--tpu`, `--use_deepspeed`, `--use_fsdp` at a time." + ) + if args.multi_gpu and (args.num_processes is not None) and (args.num_processes < 2): + raise ValueError("You need to use at least 2 processes to use `--multi_gpu`.") + + if (not args.use_fsdp or args.fsdp_version == 1) and args.use_parallelism_config: + raise ValueError("You cannot use `--use_parallelism_config` without `--use_fsdp` and `--fsdp_version=2`. ") + + defaults = None + warned = [] + mp_from_config_flag = False + # Get the default from the config file. + if args.config_file is not None or os.path.isfile(default_config_file) and not args.cpu: + defaults = load_config_from_file(args.config_file) + if ( + not args.multi_gpu + and not args.tpu + and not args.tpu_use_cluster + and not args.use_deepspeed + and not args.use_fsdp + and not args.use_megatron_lm + ): + args.use_deepspeed = defaults.distributed_type == DistributedType.DEEPSPEED + args.multi_gpu = ( + True + if defaults.distributed_type + in ( + DistributedType.MULTI_GPU, + DistributedType.MULTI_NPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_XPU, + DistributedType.MULTI_HPU, + ) + else False + ) + args.tpu = defaults.distributed_type == DistributedType.XLA + args.use_fsdp = defaults.distributed_type == DistributedType.FSDP + args.use_megatron_lm = defaults.distributed_type == DistributedType.MEGATRON_LM + args.tpu_use_cluster = defaults.tpu_use_cluster if args.tpu else False + args.use_parallelism_config = defaults.parallelism_config != {} + if args.gpu_ids is None: + if defaults.gpu_ids is not None: + args.gpu_ids = defaults.gpu_ids + else: + args.gpu_ids = "all" + + if args.multi_gpu and args.num_machines is None: + args.num_machines = defaults.num_machines + + if len(args.gpu_ids.split(",")) < 2 and (args.gpu_ids != "all") and args.multi_gpu and args.num_machines <= 1: + raise ValueError( + "Less than two GPU ids were configured and tried to run on on multiple GPUs. " + "Please ensure at least two are specified for `--gpu_ids`, or use `--gpu_ids='all'`." + ) + if defaults.compute_environment == ComputeEnvironment.LOCAL_MACHINE: + # Update args with the defaults + for name, attr in defaults.__dict__.items(): + if isinstance(attr, dict): + # Copy defaults.somedict.somearg to args.somearg and + # defaults.fsdp_config.x to args.fsdp_x + for key, value in attr.items(): + if name == "fsdp_config" and not key.startswith("fsdp"): + key = "fsdp_" + key + elif name == "fp8_config" and not key.startswith("fp8"): + key = "fp8_" + key + if hasattr(args, "nondefault") and key not in args.nondefault: + setattr(args, key, value) + elif ( + name not in ["compute_environment", "mixed_precision", "distributed_type"] + and getattr(args, name, None) is None + ): + # Those args are handled separately + setattr(args, name, attr) + if not args.debug: + args.debug = defaults.debug + + if not args.mixed_precision: + if defaults.mixed_precision is None: + args.mixed_precision = "no" + else: + args.mixed_precision = defaults.mixed_precision + mp_from_config_flag = True + else: + native_amp = is_bf16_available(True) + if ( + args.mixed_precision == "bf16" + and not native_amp + and not (args.tpu and is_torch_xla_available(check_is_tpu=True)) + ): + raise ValueError("bf16 mixed precision requires PyTorch >= 1.10 and a supported device.") + + # Silently set the default here + if args.dynamo_backend is None: + args.dynamo_backend = "no" + if args.num_processes == -1: + raise ValueError("You need to manually pass in `--num_processes` using this config yaml.") + else: + if args.num_processes is None: + if is_xpu_available(): + args.num_processes = torch.xpu.device_count() + elif is_mlu_available(): + args.num_processes = torch.mlu.device_count() + elif is_sdaa_available(): + args.num_processes = torch.sdaa.device_count() + elif is_musa_available(): + args.num_processes = torch.musa.device_count() + elif is_npu_available(): + args.num_processes = torch.npu.device_count() + elif is_hpu_available(): + args.num_processes = torch.hpu.device_count() + else: + args.num_processes = torch.cuda.device_count() + warned.append(f"\t`--num_processes` was set to a value of `{args.num_processes}`") + if args.debug is None: + args.debug = False + if ( + not args.multi_gpu + and args.num_processes > 1 + and ( + (is_xpu_available() and torch.xpu.device_count() > 1) + or (is_npu_available() and torch.npu.device_count() > 1) + or (is_hpu_available() and torch.hpu.device_count() > 1) + or (is_mlu_available() and torch.mlu.device_count() > 1) + or (is_sdaa_available() and torch.sdaa.device_count() > 1) + or (is_musa_available() and torch.musa.device_count() > 1) + or (torch.cuda.is_available() and torch.cuda.device_count() > 1) + ) + ): + warned.append( + "\t\tMore than one GPU was found, enabling multi-GPU training.\n" + "\t\tIf this was unintended please pass in `--num_processes=1`." + ) + args.multi_gpu = True + if args.num_machines is None: + warned.append("\t`--num_machines` was set to a value of `1`") + args.num_machines = 1 + if args.mixed_precision is None: + warned.append("\t`--mixed_precision` was set to a value of `'no'`") + args.mixed_precision = "no" + if not hasattr(args, "use_cpu"): + args.use_cpu = args.cpu + if args.dynamo_backend is None: + warned.append("\t`--dynamo_backend` was set to a value of `'no'`") + args.dynamo_backend = "no" + if args.debug: + logger.debug("Running script in debug mode, expect distributed operations to be slightly slower.") + + is_aws_env_disabled = defaults is None or ( + defaults is not None and defaults.compute_environment != ComputeEnvironment.AMAZON_SAGEMAKER + ) + if is_aws_env_disabled and args.num_cpu_threads_per_process is None: + args.num_cpu_threads_per_process = get_int_from_env(["OMP_NUM_THREADS"], 1) + if args.use_cpu and args.num_processes >= 1 and get_int_from_env(["OMP_NUM_THREADS"], 0) == 0: + local_size = get_int_from_env( + ["MPI_LOCALNRANKS", "OMPI_COMM_WORLD_LOCAL_SIZE", "MV2_COMM_WORLD_LOCAL_SIZE"], + max(int(args.num_processes / args.num_machines), 1), + ) + threads_per_process = int(psutil.cpu_count(logical=False) / local_size) + if threads_per_process > 1: + args.num_cpu_threads_per_process = threads_per_process + warned.append( + f"\t`--num_cpu_threads_per_process` was set to `{args.num_cpu_threads_per_process}` to improve out-of-box performance when training on CPUs" + ) + + if args.use_xpu is not None: + logger.warning( + "use_xpu is deprecated and ignored, will be removed in Accelerate v1.20. " + "XPU is a PyTorch native citizen now, we don't need extra argument to enable it any more." + ) + + if any(warned): + message = "The following values were not passed to `accelerate launch` and had defaults used instead:\n" + message += "\n".join(warned) + message += ( + "\nTo avoid this warning pass in values for each of the problematic parameters or run `accelerate config`." + ) + logger.warning(message) + return args, defaults, mp_from_config_flag + + +def launch_command(args): + args, defaults, mp_from_config_flag = _validate_launch_command(args) + # Use the proper launcher + if args.use_deepspeed and not args.cpu: + args.deepspeed_fields_from_accelerate_config = list(defaults.deepspeed_config.keys()) if defaults else [] + if mp_from_config_flag: + args.deepspeed_fields_from_accelerate_config.append("mixed_precision") + args.deepspeed_fields_from_accelerate_config = ",".join(args.deepspeed_fields_from_accelerate_config) + deepspeed_launcher(args) + elif args.use_fsdp and not args.cpu: + multi_gpu_launcher(args) + elif args.use_megatron_lm and not args.cpu: + multi_gpu_launcher(args) + elif args.multi_gpu and not args.cpu: + multi_gpu_launcher(args) + elif args.tpu and not args.cpu: + if args.tpu_use_cluster: + tpu_pod_launcher(args) + else: + tpu_launcher(args) + elif defaults is not None and defaults.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER: + sagemaker_launcher(defaults, args) + else: + simple_launcher(args) + + +def main(): + parser = launch_command_parser() + args = parser.parse_args() + launch_command(args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c2c851cc0b192ab8207d3fa68d7409868c84354c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/__init__.py @@ -0,0 +1,14 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from .selection_menu import BulletMenu diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/cursor.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/cursor.py new file mode 100644 index 0000000000000000000000000000000000000000..c1f0bb7b68025ae4fe0c2c76c095eb36b4e64f2c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/cursor.py @@ -0,0 +1,65 @@ +# Copyright 2022 The HuggingFace Team and Brian Chao. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +A utility for showing and hiding the terminal cursor on Windows and Linux, based on https://github.com/bchao1/bullet +""" + +import os +import sys +from contextlib import contextmanager + + +# Windows only +if os.name == "nt": + import ctypes + import msvcrt # noqa + + class CursorInfo(ctypes.Structure): + # _fields is a specific attr expected by ctypes + _fields_ = [("size", ctypes.c_int), ("visible", ctypes.c_byte)] + + +def hide_cursor(): + if os.name == "nt": + ci = CursorInfo() + handle = ctypes.windll.kernel32.GetStdHandle(-11) + ctypes.windll.kernel32.GetConsoleCursorInfo(handle, ctypes.byref(ci)) + ci.visible = False + ctypes.windll.kernel32.SetConsoleCursorInfo(handle, ctypes.byref(ci)) + elif os.name == "posix": + sys.stdout.write("\033[?25l") + sys.stdout.flush() + + +def show_cursor(): + if os.name == "nt": + ci = CursorInfo() + handle = ctypes.windll.kernel32.GetStdHandle(-11) + ctypes.windll.kernel32.GetConsoleCursorInfo(handle, ctypes.byref(ci)) + ci.visible = True + ctypes.windll.kernel32.SetConsoleCursorInfo(handle, ctypes.byref(ci)) + elif os.name == "posix": + sys.stdout.write("\033[?25h") + sys.stdout.flush() + + +@contextmanager +def hide(): + "Context manager to hide the terminal cursor" + try: + hide_cursor() + yield + finally: + show_cursor() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/helpers.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/helpers.py new file mode 100644 index 0000000000000000000000000000000000000000..de46f37ddcf4591167e3e01791391e4b1729034f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/helpers.py @@ -0,0 +1,59 @@ +# Copyright 2022 The HuggingFace Team and Brian Chao. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +A variety of helper functions and constants when dealing with terminal menu choices, based on +https://github.com/bchao1/bullet +""" + +import enum +import shutil +import sys + + +TERMINAL_WIDTH, _ = shutil.get_terminal_size() + +CURSOR_TO_CHAR = {"UP": "A", "DOWN": "B", "RIGHT": "C", "LEFT": "D"} + + +class Direction(enum.Enum): + UP = 0 + DOWN = 1 + + +def forceWrite(content, end=""): + sys.stdout.write(str(content) + end) + sys.stdout.flush() + + +def writeColor(content, color, end=""): + forceWrite(f"\u001b[{color}m{content}\u001b[0m", end) + + +def reset_cursor(): + forceWrite("\r") + + +def move_cursor(num_lines: int, direction: str): + forceWrite(f"\033[{num_lines}{CURSOR_TO_CHAR[direction.upper()]}") + + +def clear_line(): + forceWrite(" " * TERMINAL_WIDTH) + reset_cursor() + + +def linebreak(): + reset_cursor() + forceWrite("-" * TERMINAL_WIDTH) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/input.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/input.py new file mode 100644 index 0000000000000000000000000000000000000000..f1270eaece9d4243e7282dcb31166feeeb9bdfc1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/input.py @@ -0,0 +1,84 @@ +# Copyright 2022 The HuggingFace Team and Brian Chao. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This file contains utilities for handling input from the user and registering specific keys to specific functions, +based on https://github.com/bchao1/bullet +""" + +from .keymap import KEYMAP, get_character + + +def mark(key: str): + """ + Mark the function with the key code so it can be handled in the register + """ + + def decorator(func): + handle = getattr(func, "handle_key", []) + handle += [key] + func.handle_key = handle + return func + + return decorator + + +def mark_multiple(*keys: list[str]): + """ + Mark the function with the key codes so it can be handled in the register + """ + + def decorator(func): + handle = getattr(func, "handle_key", []) + handle += keys + func.handle_key = handle + return func + + return decorator + + +class KeyHandler(type): + """ + Metaclass that adds the key handlers to the class + """ + + def __new__(cls, name, bases, attrs): + new_cls = super().__new__(cls, name, bases, attrs) + if not hasattr(new_cls, "key_handler"): + new_cls.key_handler = {} + new_cls.handle_input = KeyHandler.handle_input + + for value in attrs.values(): + handled_keys = getattr(value, "handle_key", []) + for key in handled_keys: + new_cls.key_handler[key] = value + return new_cls + + @staticmethod + def handle_input(cls): + "Finds and returns the selected character if it exists in the handler" + char = get_character() + if char != KEYMAP["undefined"]: + char = ord(char) + handler = cls.key_handler.get(char) + if handler: + cls.current_selection = char + return handler(cls) + else: + return None + + +def register(cls): + """Adds KeyHandler metaclass to the class""" + return KeyHandler(cls.__name__, cls.__bases__, cls.__dict__.copy()) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/keymap.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/keymap.py new file mode 100644 index 0000000000000000000000000000000000000000..787db12860fe21c6786dda69c34fcccab114f2f8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/keymap.py @@ -0,0 +1,133 @@ +# Copyright 2022 The HuggingFace Team and Brian Chao. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +Utilities relating to parsing raw characters from the keyboard, based on https://github.com/bchao1/bullet +""" + +import os +import string +import sys + + +ARROW_KEY_FLAG = 1 << 8 + +KEYMAP = { + "tab": ord("\t"), + "newline": ord("\r"), + "esc": 27, + "up": 65 + ARROW_KEY_FLAG, + "down": 66 + ARROW_KEY_FLAG, + "right": 67 + ARROW_KEY_FLAG, + "left": 68 + ARROW_KEY_FLAG, + "mod_int": 91, + "undefined": sys.maxsize, + "interrupt": 3, + "insert": 50, + "delete": 51, + "pg_up": 53, + "pg_down": 54, +} + +KEYMAP["arrow_begin"] = KEYMAP["up"] +KEYMAP["arrow_end"] = KEYMAP["left"] + +if sys.platform == "win32": + WIN_CH_BUFFER = [] + WIN_KEYMAP = { + b"\xe0H": KEYMAP["up"] - ARROW_KEY_FLAG, + b"\x00H": KEYMAP["up"] - ARROW_KEY_FLAG, + b"\xe0P": KEYMAP["down"] - ARROW_KEY_FLAG, + b"\x00P": KEYMAP["down"] - ARROW_KEY_FLAG, + b"\xe0M": KEYMAP["right"] - ARROW_KEY_FLAG, + b"\x00M": KEYMAP["right"] - ARROW_KEY_FLAG, + b"\xe0K": KEYMAP["left"] - ARROW_KEY_FLAG, + b"\x00K": KEYMAP["left"] - ARROW_KEY_FLAG, + } + +for i in range(10): + KEYMAP[str(i)] = ord(str(i)) + + +def get_raw_chars(): + "Gets raw characters from inputs" + if os.name == "nt": + import msvcrt + + encoding = "mbcs" + # Flush the keyboard buffer + while msvcrt.kbhit(): + msvcrt.getch() + if len(WIN_CH_BUFFER) == 0: + # Read the keystroke + ch = msvcrt.getch() + + # If it is a prefix char, get second part + if ch in (b"\x00", b"\xe0"): + ch2 = ch + msvcrt.getch() + # Translate actual Win chars to bullet char types + try: + chx = chr(WIN_KEYMAP[ch2]) + WIN_CH_BUFFER.append(chr(KEYMAP["mod_int"])) + WIN_CH_BUFFER.append(chx) + if ord(chx) in ( + KEYMAP["insert"] - 1 << 9, + KEYMAP["delete"] - 1 << 9, + KEYMAP["pg_up"] - 1 << 9, + KEYMAP["pg_down"] - 1 << 9, + ): + WIN_CH_BUFFER.append(chr(126)) + ch = chr(KEYMAP["esc"]) + except KeyError: + ch = ch2[1] + else: + ch = ch.decode(encoding) + else: + ch = WIN_CH_BUFFER.pop(0) + elif os.name == "posix": + import termios + import tty + + fd = sys.stdin.fileno() + old_settings = termios.tcgetattr(fd) + try: + tty.setraw(fd) + ch = sys.stdin.read(1) + finally: + termios.tcsetattr(fd, termios.TCSADRAIN, old_settings) + return ch + + +def get_character(): + "Gets a character from the keyboard and returns the key code" + char = get_raw_chars() + if ord(char) in [KEYMAP["interrupt"], KEYMAP["newline"]]: + return char + + elif ord(char) == KEYMAP["esc"]: + combo = get_raw_chars() + if ord(combo) == KEYMAP["mod_int"]: + key = get_raw_chars() + if ord(key) >= KEYMAP["arrow_begin"] - ARROW_KEY_FLAG and ord(key) <= KEYMAP["arrow_end"] - ARROW_KEY_FLAG: + return chr(ord(key) + ARROW_KEY_FLAG) + else: + return KEYMAP["undefined"] + else: + return get_raw_chars() + + else: + if char in string.printable: + return char + else: + return KEYMAP["undefined"] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/selection_menu.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/selection_menu.py new file mode 100644 index 0000000000000000000000000000000000000000..ca66b2ed6782f819ffc69bd0bb3be5b7139a3863 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/menu/selection_menu.py @@ -0,0 +1,145 @@ +# Copyright 2022 The HuggingFace Team and Brian Chao. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +Main driver for the selection menu, based on https://github.com/bchao1/bullet +""" + +import builtins +import sys +from typing import Optional + +from ...utils.imports import _is_package_available +from . import cursor, input +from .helpers import Direction, clear_line, forceWrite, linebreak, move_cursor, reset_cursor, writeColor +from .keymap import KEYMAP + + +in_colab = False +try: + in_colab = _is_package_available("google.colab") +except ModuleNotFoundError: + pass + + +@input.register +class BulletMenu: + """ + A CLI menu to select a choice from a list of choices using the keyboard. + """ + + def __init__(self, prompt: Optional[str] = None, choices: list = []): + self.position = 0 + self.choices = choices + self.prompt = prompt + if sys.platform == "win32": + self.arrow_char = "*" + else: + self.arrow_char = "➔ " + + def write_choice(self, index, end: str = ""): + if sys.platform != "win32": + writeColor(self.choices[index], 32, end) + else: + forceWrite(self.choices[index], end) + + def print_choice(self, index: int): + "Prints the choice at the given index" + if index == self.position: + forceWrite(f" {self.arrow_char} ") + self.write_choice(index) + else: + forceWrite(f" {self.choices[index]}") + reset_cursor() + + def move_direction(self, direction: Direction, num_spaces: int = 1): + "Should not be directly called, used to move a direction of either up or down" + old_position = self.position + if direction == Direction.DOWN: + if self.position + 1 >= len(self.choices): + return + self.position += num_spaces + else: + if self.position - 1 < 0: + return + self.position -= num_spaces + clear_line() + self.print_choice(old_position) + move_cursor(num_spaces, direction.name) + self.print_choice(self.position) + + @input.mark(KEYMAP["up"]) + def move_up(self): + self.move_direction(Direction.UP) + + @input.mark(KEYMAP["down"]) + def move_down(self): + self.move_direction(Direction.DOWN) + + @input.mark(KEYMAP["newline"]) + def select(self): + move_cursor(len(self.choices) - self.position, "DOWN") + return self.position + + @input.mark(KEYMAP["interrupt"]) + def interrupt(self): + move_cursor(len(self.choices) - self.position, "DOWN") + raise KeyboardInterrupt + + @input.mark_multiple(*[KEYMAP[str(number)] for number in range(10)]) + def select_row(self): + index = int(chr(self.current_selection)) + movement = index - self.position + if index == self.position: + return + if index < len(self.choices): + if self.position > index: + self.move_direction(Direction.UP, -movement) + elif self.position < index: + self.move_direction(Direction.DOWN, movement) + else: + return + else: + return + + def run(self, default_choice: int = 0): + "Start the menu and return the selected choice" + if self.prompt: + linebreak() + forceWrite(self.prompt, "\n") + if in_colab: + forceWrite("Please input a choice index (starting from 0), and press enter", "\n") + else: + forceWrite("Please select a choice using the arrow or number keys, and selecting with enter", "\n") + self.position = default_choice + for i in range(len(self.choices)): + self.print_choice(i) + forceWrite("\n") + move_cursor(len(self.choices) - self.position, "UP") + with cursor.hide(): + while True: + if in_colab: + try: + choice = int(builtins.input()) + except ValueError: + choice = default_choice + else: + choice = self.handle_input() + if choice is not None: + reset_cursor() + for _ in range(len(self.choices) + 1): + move_cursor(1, "UP") + clear_line() + self.write_choice(choice, "\n") + return choice diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/merge.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/merge.py new file mode 100644 index 0000000000000000000000000000000000000000..475b53b5bbb71b959057126f8667d7f61eb9d0e1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/merge.py @@ -0,0 +1,69 @@ +#!/usr/bin/env python + +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from accelerate.commands.utils import CustomArgumentParser +from accelerate.utils import merge_fsdp_weights + + +description = """Utility to merge the weights from multiple FSDP checkpoints into a single combined checkpoint. Should be used if +`SHARDED_STATE_DICT` was used for the model. Weights will be saved to `{output_path}`. + +This is a CPU-bound process and requires enough RAM to load the entire model state dict.""" + + +def merge_command(args): + merge_fsdp_weights( + args.checkpoint_directory, args.output_path, not args.unsafe_serialization, args.remove_checkpoint_dir + ) + + +def merge_command_parser(subparsers=None): + if subparsers is not None: + parser = subparsers.add_parser("merge-weights", description=description) + else: + parser = CustomArgumentParser(description=description) + + parser.add_argument("checkpoint_directory", type=str, help="A directory containing sharded weights saved by FSDP.") + parser.add_argument( + "output_path", + type=str, + help="The path to save the merged weights. Defaults to the current directory. ", + ) + parser.add_argument( + "--unsafe_serialization", + action="store_true", + default=False, + help="Whether to save the merged weights as `.bin` rather than `.safetensors` (not recommended).", + ) + parser.add_argument( + "--remove_checkpoint_dir", + action="store_true", + help="Whether to remove the checkpoint directory after merging.", + default=False, + ) + + if subparsers is not None: + parser.set_defaults(func=merge_command) + return parser + + +def main(): + parser = merge_command_parser() + args = parser.parse_args() + merge_command(args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/test.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/test.py new file mode 100644 index 0000000000000000000000000000000000000000..a0d2f7bcf14727aa13e3438f4cd6e6f140f5bb2f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/test.py @@ -0,0 +1,65 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse + +from accelerate.test_utils import execute_subprocess_async, path_in_accelerate_package + + +def test_command_parser(subparsers=None): + if subparsers is not None: + parser = subparsers.add_parser("test") + else: + parser = argparse.ArgumentParser("Accelerate test command") + + parser.add_argument( + "--config_file", + default=None, + help=( + "The path to use to store the config file. Will default to a file named default_config.yaml in the cache " + "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have " + "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed " + "with 'huggingface'." + ), + ) + + if subparsers is not None: + parser.set_defaults(func=test_command) + return parser + + +def test_command(args): + script_name = path_in_accelerate_package("test_utils", "scripts", "test_script.py") + + if args.config_file is None: + test_args = [script_name] + else: + test_args = f"--config_file={args.config_file} {script_name}".split() + + cmd = ["accelerate-launch"] + test_args + result = execute_subprocess_async(cmd) + if result.returncode == 0: + print("Test is a success! You are ready for your distributed training!") + + +def main(): + parser = test_command_parser() + args = parser.parse_args() + test_command(args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/to_fsdp2.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/to_fsdp2.py new file mode 100644 index 0000000000000000000000000000000000000000..d2ce22f999caf60ad7bfd142289e18a56fe76280 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/to_fsdp2.py @@ -0,0 +1,172 @@ +#!/usr/bin/env python + +# Copyright 2025 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import enum +import logging +from pathlib import Path + +import yaml + +from accelerate.commands.utils import CustomArgumentParser + + +class ConversionStatus(enum.Enum): + NOT_YET_IMPLEMENTED = 0 + REMOVED = -1 + + +ARGUMENT_KEY_MAPPING = { + # New keys in FSDP2 + "fsdp_version": "fsdp_version", + "fsdp_reshard_after_forward": "fsdp_reshard_after_forward", + # https://github.com/pytorch/torchtitan/blob/main/docs/fsdp.md + # https://huggingface.co/docs/accelerate/en/usage_guides/fsdp + "fsdp_auto_wrap_policy": "fsdp_auto_wrap_policy", + "fsdp_backward_prefetch": ConversionStatus.REMOVED, + "fsdp_forward_prefetch": ConversionStatus.NOT_YET_IMPLEMENTED, + "fsdp_cpu_ram_efficient_loading": "fsdp_cpu_ram_efficient_loading", + "fsdp_offload_params": "fsdp_offload_params", + "fsdp_sharding_strategy": "fsdp_reshard_after_forward", + "fsdp_state_dict_type": "fsdp_state_dict_type", + "fsdp_sync_module_states": ConversionStatus.REMOVED, + "fsdp_transformer_layer_cls_to_wrap": "fsdp_transformer_layer_cls_to_wrap", + "fsdp_min_num_params": "fsdp_min_num_params", + "fsdp_use_orig_params": ConversionStatus.REMOVED, + "fsdp_activation_checkpointing": "fsdp_activation_checkpointing", +} + +ARGUMENT_VALUE_MAPPING = { + "fsdp_sharding_strategy": { + "FULL_SHARD": True, + "SHARD_GRAD_OP": False, + "HYBRID_SHARD": True, + "HYBRID_SHARD_ZERO2": False, + "NO_SHARD": False, + }, + "fsdp_reshard_after_forward": { # Needed to convert newly created configs using FSDP1 to FSDP2 + "FULL_SHARD": True, + "SHARD_GRAD_OP": False, + "HYBRID_SHARD": True, + "HYBRID_SHARD_ZERO2": False, + "NO_SHARD": False, + }, +} + +logger = logging.getLogger(__name__) + + +def _validate_to_fsdp2_args(args): + if not Path(args.config_file).exists(): + raise FileNotFoundError(f"Config file {args.config_file} not found") + + if not args.overwrite and args.output_file is None: + raise ValueError("If --overwrite is not set, --output_file must be provided") + + if not args.overwrite and Path(args.output_file).exists(): + raise FileExistsError(f"Output file {args.output_file} already exists and --overwrite is not set") + + +def convert_config_to_fsdp2(config: dict) -> dict: + fsdp_config = config.get("fsdp_config", {}) + + if not fsdp_config: + logger.info("No FSDP config found in the config file, skipping conversion...") + return config + + new_fsdp_config = {} + + if fsdp_config.get("fsdp_version", 1) == 2: + logger.warning("Config already specifies FSDP2, skipping conversion...") + logger.warning( + "If the config doesn't use new argument names, change `fsdp_version` to `1` and rerun the command." + ) + return config + + for key, value in fsdp_config.items(): + conversion_status = ARGUMENT_KEY_MAPPING.get(key, None) + if isinstance(conversion_status, ConversionStatus) or conversion_status is None: + conversion_status = key + new_fsdp_config[conversion_status] = value + continue + + if conversion_status == ConversionStatus.REMOVED: + logger.warning(f"Argument {key} has been removed in FSDP2, skipping this key...") + continue + + if conversion_status == ConversionStatus.NOT_YET_IMPLEMENTED: + logger.warning(f"Argument {key} is not yet implemented in FSDP2, skipping this key...") + continue + + if conversion_status is None: + logger.warning(f"Argument {key} is not being converted, skipping this key...") + new_fsdp_config[key] = value + else: + if key in ARGUMENT_VALUE_MAPPING: + value = ARGUMENT_VALUE_MAPPING[key].get(value, value) + new_fsdp_config[ARGUMENT_KEY_MAPPING[key]] = value + + new_fsdp_config["fsdp_version"] = 2 + config["fsdp_config"] = new_fsdp_config + return config + + +def to_fsdp2_command_parser(subparsers=None): + description = "Convert an Accelerate config from FSDP1 to FSDP2" + + if subparsers is not None: + parser = subparsers.add_parser("to-fsdp2", description=description) + else: + parser = CustomArgumentParser(description=description) + + parser.add_argument("--config_file", type=str, help="The config file to convert to FSDP2", required=True) + parser.add_argument( + "--overwrite", + action="store_true", + help="Overwrite the config file if it exists", + default=False, + ) + parser.add_argument( + "--output_file", + type=str, + help="The path to the output file to write the converted config to. If not provided, the input file will be overwritten (if --overwrite is set)", + default=None, + ) + if subparsers is not None: + parser.set_defaults(func=to_fsdp2_command) + + return parser + + +def load_config(config_file: str) -> dict: + with open(config_file) as f: + config = yaml.safe_load(f) + if not config: + raise ValueError("Config file is empty") + + return config + + +def to_fsdp2_command(args): + _validate_to_fsdp2_args(args) + config = load_config(args.config_file) + + if args.overwrite and args.output_file is None: + args.output_file = args.config_file + + new_config = convert_config_to_fsdp2(config) + + with open(args.output_file, "w") as f: + yaml.dump(new_config, f) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/tpu.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/tpu.py new file mode 100644 index 0000000000000000000000000000000000000000..fc0f07bf8697bfdb6484d3bf817f2e18b1313b00 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/tpu.py @@ -0,0 +1,157 @@ +#!/usr/bin/env python + +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse +import os +import subprocess + +from packaging.version import Version, parse + +from accelerate.commands.config.config_args import default_config_file, load_config_from_file + + +_description = "Run commands across TPU VMs for initial setup before running `accelerate launch`." + + +def tpu_command_parser(subparsers=None): + if subparsers is not None: + parser = subparsers.add_parser("tpu-config", description=_description) + else: + parser = argparse.ArgumentParser("Accelerate tpu-config command", description=_description) + # Core arguments + config_args = parser.add_argument_group( + "Config Arguments", "Arguments that can be configured through `accelerate config`." + ) + config_args.add_argument( + "--config_file", + type=str, + default=None, + help="Path to the config file to use for accelerate.", + ) + config_args.add_argument( + "--tpu_name", + default=None, + help="The name of the TPU to use. If not specified, will use the TPU specified in the config file.", + ) + config_args.add_argument( + "--tpu_zone", + default=None, + help="The zone of the TPU to use. If not specified, will use the zone specified in the config file.", + ) + pod_args = parser.add_argument_group("TPU Arguments", "Arguments for options ran inside the TPU.") + pod_args.add_argument( + "--use_alpha", + action="store_true", + help="Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.", + ) + pod_args.add_argument( + "--command_file", + default=None, + help="The path to the file containing the commands to run on the pod on startup.", + ) + pod_args.add_argument( + "--command", + action="append", + nargs="+", + help="A command to run on the pod. Can be passed multiple times.", + ) + pod_args.add_argument( + "--install_accelerate", + action="store_true", + help="Whether to install accelerate on the pod. Defaults to False.", + ) + pod_args.add_argument( + "--accelerate_version", + default="latest", + help="The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify 'dev' to install from GitHub.", + ) + pod_args.add_argument( + "--debug", action="store_true", help="If set, will print the command that would be run instead of running it." + ) + + if subparsers is not None: + parser.set_defaults(func=tpu_command_launcher) + return parser + + +def tpu_command_launcher(args): + defaults = None + + # Get the default from the config file if it exists. + if args.config_file is not None or os.path.isfile(default_config_file): + defaults = load_config_from_file(args.config_file) + if not args.command_file and defaults.command_file is not None and not args.command: + args.command_file = defaults.command_file + if not args.command and defaults.commands is not None: + args.command = defaults.commands + if not args.tpu_name: + args.tpu_name = defaults.tpu_name + if not args.tpu_zone: + args.tpu_zone = defaults.tpu_zone + if args.accelerate_version == "dev": + args.accelerate_version = "git+https://github.com/huggingface/accelerate.git" + elif args.accelerate_version == "latest": + args.accelerate_version = "accelerate -U" + elif isinstance(parse(args.accelerate_version), Version): + args.accelerate_version = f"accelerate=={args.accelerate_version}" + + if not args.command_file and not args.command: + raise ValueError("You must specify either a command file or a command to run on the pod.") + + if args.command_file: + with open(args.command_file) as f: + args.command = [f.read().splitlines()] + + # To turn list of lists into list of strings + if isinstance(args.command[0], list): + args.command = [line for cmd in args.command for line in cmd] + # Default to the shared folder and install accelerate + new_cmd = ["cd /usr/share"] + if args.install_accelerate: + new_cmd += [f"pip install {args.accelerate_version}"] + new_cmd += args.command + args.command = "; ".join(new_cmd) + + # Then send it to gcloud + # Eventually try to use google-api-core to do this instead of subprocess + cmd = ["gcloud"] + if args.use_alpha: + cmd += ["alpha"] + cmd += [ + "compute", + "tpus", + "tpu-vm", + "ssh", + args.tpu_name, + "--zone", + args.tpu_zone, + "--command", + args.command, + "--worker", + "all", + ] + if args.debug: + print(f"Running {' '.join(cmd)}") + return + subprocess.run(cmd) + print("Successfully setup pod.") + + +def main(): + parser = tpu_command_parser() + args = parser.parse_args() + + tpu_command_launcher(args) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..326f37d7f93de2417e4171e5ffe91193fb97225c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/commands/utils.py @@ -0,0 +1,123 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse + + +class _StoreAction(argparse.Action): + """ + Custom action that allows for `-` or `_` to be passed in for an argument. + """ + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + new_option_strings = [] + for option_string in self.option_strings: + new_option_strings.append(option_string) + if "_" in option_string[2:]: + # Add `-` version to the option string + new_option_strings.append(option_string.replace("_", "-")) + self.option_strings = new_option_strings + + def __call__(self, parser, namespace, values, option_string=None): + setattr(namespace, self.dest, values) + if not hasattr(namespace, "nondefault"): + namespace.nondefault = set() + namespace.nondefault.add(self.dest) + + +class _StoreConstAction(_StoreAction): + """ + Same as `argparse._StoreConstAction` but uses the custom `_StoreAction`. + """ + + def __init__(self, option_strings, dest, const, default=None, required=False, help=None): + super().__init__( + option_strings=option_strings, + dest=dest, + nargs=0, + const=const, + default=default, + required=required, + help=help, + ) + + def __call__(self, parser, namespace, values, option_string=None): + super().__call__(parser, namespace, self.const, option_string) + + +class _StoreTrueAction(_StoreConstAction): + """ + Same as `argparse._StoreTrueAction` but uses the custom `_StoreConstAction`. + """ + + def __init__( + self, + option_strings, + dest, + default=None, + required=False, + help=None, + ): + super().__init__( + option_strings=option_strings, dest=dest, const=True, default=default, required=required, help=help + ) + + +class CustomArgumentGroup(argparse._ArgumentGroup): + """ + Custom argument group that allows for the use of `-` or `_` in arguments passed and overrides the help for each + when applicable. + """ + + def _add_action(self, action): + args = vars(action) + if isinstance(action, argparse._StoreTrueAction): + action = _StoreTrueAction( + args["option_strings"], args["dest"], args["default"], args["required"], args["help"] + ) + elif isinstance(action, argparse._StoreConstAction): + action = _StoreConstAction( + args["option_strings"], + args["dest"], + args["const"], + args["default"], + args["required"], + args["help"], + ) + elif isinstance(action, argparse._StoreAction): + action = _StoreAction(**args) + action = super()._add_action(action) + return action + + +class CustomArgumentParser(argparse.ArgumentParser): + """ + Custom argument parser that allows for the use of `-` or `_` in arguments passed and overrides the help for each + when applicable. + """ + + def add_argument(self, *args, **kwargs): + if "action" in kwargs: + # Translate action -> class + if kwargs["action"] == "store_true": + kwargs["action"] = _StoreTrueAction + else: + kwargs["action"] = _StoreAction + super().add_argument(*args, **kwargs) + + def add_argument_group(self, *args, **kwargs): + group = CustomArgumentGroup(self, *args, **kwargs) + self._action_groups.append(group) + return group diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/data_loader.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/data_loader.py new file mode 100644 index 0000000000000000000000000000000000000000..e06f9fddf146cc9ddc935a08d4e70d9cf02a830a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/data_loader.py @@ -0,0 +1,1451 @@ +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import importlib +import math +from contextlib import suppress +from typing import Callable, Optional, Union + +import torch +from packaging import version +from torch.utils.data import BatchSampler, DataLoader, IterableDataset, RandomSampler + +from .logging import get_logger +from .state import DistributedType, GradientState, PartialState, is_torch_xla_available +from .utils import ( + RNGType, + broadcast, + broadcast_object_list, + compare_versions, + concatenate, + find_batch_size, + get_data_structure, + initialize_tensors, + is_datasets_available, + is_torch_version, + is_torchdata_stateful_dataloader_available, + send_to_device, + slice_tensors, + synchronize_rng_states, +) + + +logger = get_logger(__name__) + +# kwargs of the DataLoader in min version 2.0 +_PYTORCH_DATALOADER_KWARGS = { + "batch_size": 1, + "shuffle": False, + "sampler": None, + "batch_sampler": None, + "num_workers": 0, + "collate_fn": None, + "pin_memory": False, + "drop_last": False, + "timeout": 0, + "worker_init_fn": None, + "multiprocessing_context": None, + "generator": None, + "prefetch_factor": 2, + "persistent_workers": False, + "pin_memory_device": "", +} + +# kwargs added after by version +_PYTORCH_DATALOADER_ADDITIONAL_KWARGS = {"2.6.0": {"in_order": True}} + +for v, additional_kwargs in _PYTORCH_DATALOADER_ADDITIONAL_KWARGS.items(): + if is_torch_version(">=", v): + _PYTORCH_DATALOADER_KWARGS.update(additional_kwargs) + + +class SeedableRandomSampler(RandomSampler): + """ + Same as a random sampler, except that in `__iter__` a seed can be used. + + Needed specifically in distributed cases, when the random generator for each GPU needs to start from the same seed + and be fully reproducible on multiple iterations. + + If a custom `generator` is passed, it will rely on its initial seed as well as the current iteration it is on + (stored in `self.epoch`). + """ + + def __init__(self, *args, **kwargs): + data_seed = kwargs.pop("data_seed", None) + super().__init__(*args, **kwargs) + + self.initial_seed = data_seed if data_seed is not None else torch.random.initial_seed() + self.epoch = 0 + + def __iter__(self): + if self.generator is None: + self.generator = torch.Generator( + device=torch.get_default_device() if hasattr(torch, "get_default_device") else "cpu" + ) + self.generator.manual_seed(self.initial_seed) + + # Allow `self.epoch` to modify the seed of the generator + seed = self.epoch + self.initial_seed + # print("Setting seed at epoch", self.epoch, seed) + self.generator.manual_seed(seed) + yield from super().__iter__() + self.set_epoch(self.epoch + 1) + + def set_epoch(self, epoch: int): + "Sets the current iteration of the sampler." + self.epoch = epoch + + +class BatchSamplerShard(BatchSampler): + """ + Wraps a PyTorch `BatchSampler` to generate batches for one of the processes only. Instances of this class will + always yield a number of batches that is a round multiple of `num_processes` and that all have the same size. + Depending on the value of the `drop_last` attribute of the batch sampler passed, it will either stop the iteration + at the first batch that would be too small / not present on all processes or loop with indices from the beginning. + + Args: + batch_sampler (`torch.utils.data.sampler.BatchSampler`): + The batch sampler to split in several shards. + num_processes (`int`, *optional*, defaults to 1): + The number of processes running concurrently. + process_index (`int`, *optional*, defaults to 0): + The index of the current process. + split_batches (`bool`, *optional*, defaults to `False`): + Whether the shards should be created by splitting a batch to give a piece of it on each process, or by + yielding different full batches on each process. + + On two processes with a sampler of `[[0, 1, 2, 3], [4, 5, 6, 7]]`, this will result in: + + - the sampler on process 0 to yield `[0, 1, 2, 3]` and the sampler on process 1 to yield `[4, 5, 6, 7]` if + this argument is set to `False`. + - the sampler on process 0 to yield `[0, 1]` then `[4, 5]` and the sampler on process 1 to yield `[2, 3]` + then `[6, 7]` if this argument is set to `True`. + even_batches (`bool`, *optional*, defaults to `True`): + Whether or not to loop back at the beginning of the sampler when the number of samples is not a round + multiple of (original batch size / number of processes). + + + + `BatchSampler`s with varying batch sizes are not enabled by default. To enable this behaviour, set `even_batches` + equal to `False` + + """ + + def __init__( + self, + batch_sampler: BatchSampler, + num_processes: int = 1, + process_index: int = 0, + split_batches: bool = False, + even_batches: bool = True, + ): + if split_batches and batch_sampler.batch_size % num_processes != 0: + raise ValueError( + f"To use `BatchSamplerShard` in `split_batches` mode, the batch size ({batch_sampler.batch_size}) " + f"needs to be a round multiple of the number of processes ({num_processes})." + ) + self.batch_sampler = batch_sampler + self.num_processes = num_processes + self.process_index = process_index + self.split_batches = split_batches + self.even_batches = even_batches + self.batch_size = getattr(batch_sampler, "batch_size", None) + self.drop_last = getattr(batch_sampler, "drop_last", False) + if self.batch_size is None and self.even_batches: + raise ValueError( + "You need to use `even_batches=False` when the batch sampler has no batch size. If you " + "are not calling this method directly, set `accelerator.even_batches=False` instead." + ) + + @property + def total_length(self): + return len(self.batch_sampler) + + def __len__(self): + if self.split_batches: + # Split batches does not change the length of the batch sampler + return len(self.batch_sampler) + if len(self.batch_sampler) % self.num_processes == 0: + # If the length is a round multiple of the number of processes, it's easy. + return len(self.batch_sampler) // self.num_processes + length = len(self.batch_sampler) // self.num_processes + if self.drop_last: + # Same if we drop the remainder. + return length + elif self.even_batches: + # When we even batches we always get +1 + return length + 1 + else: + # Otherwise it depends on the process index. + return length + 1 if self.process_index < len(self.batch_sampler) % self.num_processes else length + + def __iter__(self): + return self._iter_with_split() if self.split_batches else self._iter_with_no_split() + + def _iter_with_split(self): + initial_data = [] + batch_length = self.batch_sampler.batch_size // self.num_processes + for idx, batch in enumerate(self.batch_sampler): + if idx == 0: + initial_data = batch + if len(batch) == self.batch_size: + # If the batch is full, we yield the part of it this process is responsible of. + yield batch[batch_length * self.process_index : batch_length * (self.process_index + 1)] + + # If drop_last is True of the last batch was full, iteration is over, otherwise... + if not self.drop_last and len(initial_data) > 0 and len(batch) < self.batch_size: + if not self.even_batches: + if len(batch) > batch_length * self.process_index: + yield batch[batch_length * self.process_index : batch_length * (self.process_index + 1)] + else: + # For degenerate cases where the dataset has less than num_process * batch_size samples + while len(initial_data) < self.batch_size: + initial_data += initial_data + batch = batch + initial_data + yield batch[batch_length * self.process_index : batch_length * (self.process_index + 1)] + + def _iter_with_no_split(self): + initial_data = [] + batch_to_yield = [] + for idx, batch in enumerate(self.batch_sampler): + # We gather the initial indices in case we need to circle back at the end. + if not self.drop_last and idx < self.num_processes: + initial_data += batch + # We identify the batch to yield but wait until we ar sure every process gets a full batch before actually + # yielding it. + if idx % self.num_processes == self.process_index: + batch_to_yield = batch + if idx % self.num_processes == self.num_processes - 1 and ( + self.batch_size is None or len(batch) == self.batch_size + ): + yield batch_to_yield + batch_to_yield = [] + + # If drop_last is True, iteration is over, otherwise... + if not self.drop_last and len(initial_data) > 0: + if not self.even_batches: + if len(batch_to_yield) > 0: + yield batch_to_yield + else: + # ... we yield the complete batch we had saved before if it has the proper length + if len(batch_to_yield) == self.batch_size: + yield batch_to_yield + + # For degenerate cases where the dataset has less than num_process * batch_size samples + while len(initial_data) < self.num_processes * self.batch_size: + initial_data += initial_data + + # If the last batch seen was of the proper size, it has been yielded by its process so we move to the next + if len(batch) == self.batch_size: + batch = [] + idx += 1 + + # Make sure we yield a multiple of self.num_processes batches + cycle_index = 0 + while idx % self.num_processes != 0 or len(batch) > 0: + end_index = cycle_index + self.batch_size - len(batch) + batch += initial_data[cycle_index:end_index] + if idx % self.num_processes == self.process_index: + yield batch + cycle_index = end_index + batch = [] + idx += 1 + + +class IterableDatasetShard(IterableDataset): + """ + Wraps a PyTorch `IterableDataset` to generate samples for one of the processes only. Instances of this class will + always yield a number of samples that is a round multiple of the actual batch size (depending of the value of + `split_batches`, this is either `batch_size` or `batch_size x num_processes`). Depending on the value of the + `drop_last` attribute of the batch sampler passed, it will either stop the iteration at the first batch that would + be too small or loop with indices from the beginning. + + Args: + dataset (`torch.utils.data.dataset.IterableDataset`): + The batch sampler to split in several shards. + batch_size (`int`, *optional*, defaults to 1): + The size of the batches per shard (if `split_batches=False`) or the size of the batches (if + `split_batches=True`). + drop_last (`bool`, *optional*, defaults to `False`): + Whether or not to drop the last incomplete batch or complete the last batches by using the samples from the + beginning. + num_processes (`int`, *optional*, defaults to 1): + The number of processes running concurrently. + process_index (`int`, *optional*, defaults to 0): + The index of the current process. + split_batches (`bool`, *optional*, defaults to `False`): + Whether the shards should be created by splitting a batch to give a piece of it on each process, or by + yielding different full batches on each process. + + On two processes with an iterable dataset yielding of `[0, 1, 2, 3, 4, 5, 6, 7]`, this will result in: + + - the shard on process 0 to yield `[0, 1, 2, 3]` and the shard on process 1 to yield `[4, 5, 6, 7]` if this + argument is set to `False`. + - the shard on process 0 to yield `[0, 1, 4, 5]` and the sampler on process 1 to yield `[2, 3, 6, 7]` if + this argument is set to `True`. + """ + + def __init__( + self, + dataset: IterableDataset, + batch_size: int = 1, + drop_last: bool = False, + num_processes: int = 1, + process_index: int = 0, + split_batches: bool = False, + ): + if split_batches and batch_size > 1 and batch_size % num_processes != 0: + raise ValueError( + f"To use `IterableDatasetShard` in `split_batches` mode, the batch size ({batch_size}) " + f"needs to be a round multiple of the number of processes ({num_processes})." + ) + self.dataset: IterableDataset = dataset + self.batch_size = batch_size + self.drop_last = drop_last + self.num_processes = num_processes + self.process_index = process_index + self.split_batches = split_batches + + def set_epoch(self, epoch): + self.epoch = epoch + if hasattr(self.dataset, "set_epoch"): + self.dataset.set_epoch(epoch) + + def __len__(self): + # We will just raise the downstream error if the underlying dataset is not sized + if self.drop_last: + return (len(self.dataset) // (self.batch_size * self.num_processes)) * self.batch_size + else: + return math.ceil(len(self.dataset) / (self.batch_size * self.num_processes)) * self.batch_size + + def __iter__(self): + if ( + not hasattr(self.dataset, "set_epoch") + and hasattr(self.dataset, "generator") + and isinstance(self.dataset.generator, torch.Generator) + ): + self.dataset.generator.manual_seed(self.epoch) + real_batch_size = self.batch_size if self.split_batches else (self.batch_size * self.num_processes) + process_batch_size = (self.batch_size // self.num_processes) if self.split_batches else self.batch_size + process_slice = range(self.process_index * process_batch_size, (self.process_index + 1) * process_batch_size) + + first_batch = None + current_batch = [] + for element in self.dataset: + current_batch.append(element) + # Wait to have a full batch before yielding elements. + if len(current_batch) == real_batch_size: + for i in process_slice: + yield current_batch[i] + if first_batch is None: + first_batch = current_batch.copy() + current_batch = [] + + # Finished if drop_last is True, otherwise complete the last batch with elements from the beginning. + if not self.drop_last and len(current_batch) > 0: + if first_batch is None: + first_batch = current_batch.copy() + while len(current_batch) < real_batch_size: + current_batch += first_batch + for i in process_slice: + yield current_batch[i] + + +class DataLoaderStateMixin: + """ + Mixin class that adds a state to a `DataLoader` to keep track of the status inside the dataloader such as at the + end of the iteration, the number of items in the dataset in the last batch relative to the batch size, and other + useful information that might be needed. + + **Available attributes:** + + - **end_of_dataloader** (`bool`) -- Whether at the last iteration or batch + - **remainder** (`int`) -- The number of items that are remaining in the last batch, relative to the total + batch size + + + + Inheriters of this class should ensure that the class creates a `GradientState()` instance, stored in + `self.gradient_state`. + + + + """ + + def __init_subclass__(cls, **kwargs): + cls.end_of_dataloader = False + cls.remainder = -1 + + def reset(self): + self.end_of_dataloader = False + self.remainder = -1 + + def begin(self): + "Prepares the gradient state for the current dataloader" + self.reset() + with suppress(Exception): + if not self._drop_last: + length = getattr(self.dataset, "total_dataset_length", len(self.dataset)) + self.remainder = length % self.total_batch_size + self.gradient_state._add_dataloader(self) + + def end(self): + "Cleans up the gradient state after exiting the dataloader" + self.gradient_state._remove_dataloader(self) + + +class DataLoaderAdapter: + """ + A class which wraps around a PyTorch `DataLoader` (or variants of it) to be used with the `Accelerator`. For + compatibility reasons, this class inherits from the class it wraps around, so it can be used as a drop-in. + """ + + def __init__(self, dataset, use_stateful_dataloader=False, batch_sampler=None, **kwargs): + self.use_stateful_dataloader = use_stateful_dataloader + if is_torchdata_stateful_dataloader_available(): + from torchdata.stateful_dataloader import StatefulDataLoader + + if use_stateful_dataloader and not is_torchdata_stateful_dataloader_available(): + raise ImportError( + "StatefulDataLoader is not available. Please install torchdata version 0.8.0 or higher to use it." + ) + if use_stateful_dataloader: + torchdata_version = version.parse(importlib.metadata.version("torchdata")) + if ( + "in_order" in kwargs + and compare_versions(torchdata_version, "<", "0.11") + and is_torch_version(">=", "2.6.0") + ): + kwargs.pop("in_order") + self.base_dataloader = StatefulDataLoader(dataset, batch_sampler=batch_sampler, **kwargs) + else: + self.base_dataloader = DataLoader(dataset, batch_sampler=batch_sampler, **kwargs) + + if hasattr(self.base_dataloader, "state_dict"): + self.dl_state_dict = self.base_dataloader.state_dict() + + def __getattr__(self, name): + # Avoid infinite recursion if we try to access a nonexistent base_dataloader attribute. + if name == "base_dataloader": + raise AttributeError() + # Delegate attribute access to the internal dataloader + return getattr(self.base_dataloader, name) + + def state_dict(self): + return self.dl_state_dict + + def load_state_dict(self, state_dict): + self.base_dataloader.load_state_dict(state_dict) + + @property + def __class__(self): + """ + In order to maintain backwards compatibility with other code, we need to ensure `isinstance(obj, DataLoader)` + returns true. This is because some downstream code assumes that the `DataLoader` is the base class of the + object. + """ + return self.base_dataloader.__class__ + + def __len__(self): + return len(self.base_dataloader) + + def adjust_state_dict_for_prefetch(self): + """ + Adjusts the state dict for prefetching. Natively, this will adjust all of the iters yielded keys in + `self.dl_state_dict` by a factor of `num_processes - 1`, however if a custom correction is needed, this can be + overridden. + + This should modify `self.dl_state_dict` directly + """ + # The state dict will be off by a factor of `n-1` batch too many during DDP, + # so we need to adjust it here + if PartialState().distributed_type != DistributedType.NO: + factor = PartialState().num_processes - 1 + if self.dl_state_dict["_sampler_iter_yielded"] > 0: + self.dl_state_dict["_sampler_iter_yielded"] -= factor + if self.dl_state_dict["_num_yielded"] > 0: + self.dl_state_dict["_num_yielded"] -= factor + if self.dl_state_dict["_index_sampler_state"] is not None: + if ( + "samples_yielded" in self.dl_state_dict["_index_sampler_state"] + and self.dl_state_dict["_index_sampler_state"]["samples_yielded"] > 0 + ): + self.dl_state_dict["_index_sampler_state"]["samples_yielded"] -= self.batch_size * factor + + def _update_state_dict(self): + # The state_dict of the underlying base_dataloader may be ahead of what is currently being yielded. + # E.g. the implementation of DataLoaderShard involves having an underlying iterator 1 element ahead of + # what it wants to yield. + # + # _update_state_dict is called to snapshot the state_dict that would properly recover the DataLoaderAdapter. + if hasattr(self.base_dataloader, "state_dict"): + self.dl_state_dict = self.base_dataloader.state_dict() + # Potentially modify the state_dict to adjust for prefetching + self.adjust_state_dict_for_prefetch() + # Then tag if we are at the end of the dataloader + self.dl_state_dict["_iterator_finished"] = self.end_of_dataloader + + +class DataLoaderShard(DataLoaderAdapter, DataLoaderStateMixin): + """ + Subclass of `DataLoaderAdapter` that will deal with device placement and current distributed setup. + + Args: + dataset (`torch.utils.data.dataset.Dataset`): + The dataset to use to build this dataloader. + device (`torch.device`, *optional*): + If passed, the device to put all batches on. + rng_types (list of `str` or [`~utils.RNGType`]): + The list of random number generators to synchronize at the beginning of each iteration. Should be one or + several of: + + - `"torch"`: the base torch random number generator + - `"cuda"`: the CUDA random number generator (GPU only) + - `"xla"`: the XLA random number generator (TPU only) + - `"generator"`: an optional `torch.Generator` + synchronized_generator (`torch.Generator`, *optional*): + A random number generator to keep synchronized across processes. + skip_batches (`int`, *optional*, defaults to 0): + The number of batches to skip at the beginning. + use_stateful_dataloader (`bool`, *optional*, defaults to `False`): + Whether to have this class adapt `StatefulDataLoader` from `torchdata` instead of the regular `DataLoader`. + **kwargs (additional keyword arguments, *optional*): + All other keyword arguments to pass to the regular `DataLoader` initialization. + + **Available attributes:** + + - **total_batch_size** (`int`) -- Total batch size of the dataloader across all processes. + Equal to the original batch size when `split_batches=True`; otherwise the original batch size * the total + number of processes + + - **total_dataset_length** (`int`) -- Total length of the inner dataset across all processes. + """ + + def __init__( + self, + dataset, + device=None, + rng_types=None, + synchronized_generator=None, + skip_batches=0, + use_stateful_dataloader=False, + _drop_last: bool = False, + _non_blocking: bool = False, + torch_device_mesh=None, + **kwargs, + ): + super().__init__(dataset, use_stateful_dataloader=use_stateful_dataloader, **kwargs) + self.device = device + self.rng_types = rng_types + self.synchronized_generator = synchronized_generator + self.skip_batches = skip_batches + self.gradient_state = GradientState() + self._drop_last = _drop_last + self._non_blocking = _non_blocking + self.iteration = 0 + + def __iter__(self): + if self.rng_types is not None: + synchronize_rng_states(self.rng_types, self.synchronized_generator) + self.begin() + + self.set_epoch(self.iteration) + dataloader_iter = self.base_dataloader.__iter__() + # We iterate one batch ahead to check when we are at the end + try: + current_batch = next(dataloader_iter) + except StopIteration: + self.end() + return + + batch_index = 0 + while True: + try: + # But we still move it to the device so it is done before `StopIteration` is reached + if self.device is not None: + current_batch = send_to_device(current_batch, self.device, non_blocking=self._non_blocking) + self._update_state_dict() + next_batch = next(dataloader_iter) + if batch_index >= self.skip_batches: + yield current_batch + batch_index += 1 + current_batch = next_batch + except StopIteration: + self.end_of_dataloader = True + self._update_state_dict() + if batch_index >= self.skip_batches: + yield current_batch + break + + self.iteration += 1 + self.end() + + def __reduce__(self): + """ + Define the `__reduce__` method to ensure a `DataLoaderShard` can be pickled and unpickled. This needs to be + explicitly defined since default pickling behavior is broken by `DataLoaderAdapter` messing with its + `__class__` member. + """ + args = super().__reduce__() + return (DataLoaderShard, *args[1:]) + + def set_epoch(self, epoch: int): + # In case it is manually passed in, the user can set it to what they like + if self.iteration != epoch: + self.iteration = epoch + if hasattr(self.batch_sampler, "set_epoch"): + self.batch_sampler.set_epoch(epoch) + if hasattr(self.batch_sampler, "sampler") and hasattr(self.batch_sampler.sampler, "set_epoch"): + self.batch_sampler.sampler.set_epoch(epoch) + if ( + hasattr(self.batch_sampler, "batch_sampler") + and hasattr(self.batch_sampler.batch_sampler, "sampler") + and hasattr(self.batch_sampler.batch_sampler.sampler, "set_epoch") + ): + self.batch_sampler.batch_sampler.sampler.set_epoch(epoch) + # We support if a custom `Dataset` implementation has `set_epoch` + # or in general HF datasets `Datasets` + elif hasattr(self.dataset, "set_epoch"): + self.dataset.set_epoch(epoch) + + @property + def total_batch_size(self): + batch_sampler = self.sampler if isinstance(self.sampler, BatchSampler) else self.batch_sampler + return ( + batch_sampler.batch_size + if getattr(batch_sampler, "split_batches", False) + else (batch_sampler.batch_size * getattr(batch_sampler, "num_processes", 1)) + ) + + @property + def total_dataset_length(self): + if hasattr(self.dataset, "total_length"): + return self.dataset.total_length + else: + return len(self.dataset) + + def get_sampler(self): + return get_sampler(self) + + def set_sampler(self, sampler): + sampler_is_batch_sampler = isinstance(self.sampler, BatchSampler) + if sampler_is_batch_sampler: + self.sampler.sampler = sampler + else: + self.batch_sampler.sampler = sampler + if hasattr(self.batch_sampler, "batch_sampler"): + self.batch_sampler.batch_sampler.sampler = sampler + + +if is_torch_xla_available(): + import torch_xla.distributed.parallel_loader as xpl + + class MpDeviceLoaderWrapper(xpl.MpDeviceLoader): + """ + Wrapper for the xpl.MpDeviceLoader class that knows the total batch size. + + XLA preloading threads will all call DataLoaderShard's __iter__(). Remove rng_types from DataLoaderShard to + prevent it from using the XLA device in the preloading threads, and synchronize the RNG once from the main + thread only. + + **Available attributes:** + + - **total_batch_size** (`int`) -- Total batch size of the dataloader across all processes. + Equal to the original batch size when `split_batches=True`; otherwise the original batch size * the total + number of processes + + - **total_dataset_length** (`int`) -- Total length of the inner dataset across all processes. + """ + + def __init__(self, dataloader: DataLoaderShard, device: torch.device): + super().__init__(dataloader, device) + self._rng_types = self._loader.rng_types + self._loader.rng_types = None + self.device = device + + def __iter__(self): + if self._rng_types is not None: + synchronize_rng_states(self._rng_types, self._loader.synchronized_generator) + + return super().__iter__() + + def set_epoch(self, epoch: int): + if hasattr(self.dataloader, "set_epoch"): + self.dataloader.set_epoch(epoch) + + @property + def total_batch_size(self): + return self._loader.total_batch_size + + @property + def total_dataset_length(self): + return self._loader.total_dataset_length + + @property + def batch_sampler(self): + return self._loader.batch_sampler + + @property + def dataloader(self): + return self._loader + + +class DataLoaderDispatcher(DataLoaderAdapter, DataLoaderStateMixin): + """ + Subclass of `DataLoaderAdapter` that will iterate and preprocess on process 0 only, then dispatch on each process + their part of the batch. + + Args: + split_batches (`bool`, *optional*, defaults to `False`): + Whether the resulting `DataLoader` should split the batches of the original data loader across devices or + yield full batches (in which case it will yield batches starting at the `process_index`-th and advancing of + `num_processes` batches at each iteration). Another way to see this is that the observed batch size will be + the same as the initial `dataloader` if this option is set to `True`, the batch size of the initial + `dataloader` multiplied by `num_processes` otherwise. Setting this option to `True` requires that the batch + size of the `dataloader` is a round multiple of `batch_size`. + skip_batches (`int`, *optional*, defaults to 0): + The number of batches to skip at the beginning of an iteration. + use_stateful_dataloader (`bool`, *optional*, defaults to `False`): + Whether to have this class adapt `StatefulDataLoader` from `torchdata` instead of the regular `DataLoader`. + + **Available attributes:** + + - **total_batch_size** (`int`) -- Total batch size of the dataloader across all processes. + Equal to the original batch size when `split_batches=True`; otherwise the original batch size * the total + number of processes + + - **total_dataset_length** (`int`) -- Total length of the inner dataset across all processes. + """ + + def __init__( + self, + dataset, + split_batches: bool = False, + skip_batches=0, + use_stateful_dataloader=False, + _drop_last: bool = False, + _non_blocking: bool = False, + slice_fn=None, + torch_device_mesh=None, + **kwargs, + ): + shuffle = False + from torch.utils.data.datapipes.iter.combinatorics import ShufflerIterDataPipe + + # We need to save the shuffling state of the DataPipe + if isinstance(dataset, ShufflerIterDataPipe): + shuffle = dataset._shuffle_enabled + super().__init__(dataset, use_stateful_dataloader=use_stateful_dataloader, **kwargs) + self.split_batches = split_batches + if shuffle: + torch.utils.data.graph_settings.apply_shuffle_settings(dataset, shuffle=shuffle) + + self.gradient_state = GradientState() + self.state = PartialState() + self._drop_last = _drop_last + self._non_blocking = _non_blocking + self.skip_batches = skip_batches + self.torch_device_mesh = torch_device_mesh + + self.slice_fn = slice_tensors if slice_fn is None else slice_fn + self.iteration = 0 + + # if a device mesh is provided extract each dimension (dp, fsdp, tp) + # device mesh may hold any number of dimensions, however, + # below code is for targeted support for dp, fsdp and tp + + # device mesh will be used only if there is tp involved + # or any multi-dimensional parallelism involving tp + # (dp, tp) (fsdp, tp) (dp, fsdp, tp) + # otherwise the default behaviour not using device mesh should be sufficient + # since multi dimensional parallelism devoid of tp would anyway need + # different batches for each process irrespective of dp or fsdp + self.submesh_tp = None + self.submesh_dp = None + self.submesh_fsdp = None + if self.torch_device_mesh and "tp" in self.torch_device_mesh.mesh_dim_names: + self.submesh_tp = self.torch_device_mesh["tp"] + if "dp" in self.torch_device_mesh.mesh_dim_names: + self.submesh_dp = self.torch_device_mesh["dp"] + if "fsdp" in self.torch_device_mesh.mesh_dim_names: + self.submesh_fsdp = self.torch_device_mesh["fsdp"] + if self.submesh_tp and (self.submesh_dp or self.submesh_fsdp): + raise ValueError("TP + (DP/FSDP) is not yet supported in dispatch mode") + + def _fetch_batches(self, iterator): + batches, batch = None, None + # On process 0, we gather the batch to dispatch. + if self.state.process_index == 0: + # Procedure to support TP only is simpler + # since we want to dispatch the same batch of samples across all ranks + # this removes complexity of handling multiple tp rank groups when TP + DP + # combination is involved. + + try: + # for TP case avoid using split_batches + # since it would mean that the dataloader should be spilling out + # duplicates of batches. + if self.split_batches: + # One batch of the main iterator is dispatched and split. + if self.submesh_tp: + logger.warning( + "Use of split_batches for TP would need the dataloader to produce duplicate batches," + "otherwise, use dispatch_batches=True instead." + ) + self._update_state_dict() + batch = next(iterator) + else: + # num_processes batches of the main iterator are concatenated then dispatched and split. + # We add the batches one by one so we have the remainder available when drop_last=False. + batches = [] + if self.submesh_tp: + # when tp, extract single batch and then replicate + self._update_state_dict() + batch = next(iterator) + batches = [batch] * self.state.num_processes + else: + for _ in range(self.state.num_processes): + self._update_state_dict() + batches.append(next(iterator)) + try: + batch = concatenate(batches, dim=0) + except RuntimeError as e: + raise RuntimeError( + "You can't use batches of different size with `dispatch_batches=True` or when using an `IterableDataset`." + "either pass `dispatch_batches=False` and have each process fetch its own batch " + " or pass `split_batches=True`. By doing so, the main process will fetch a full batch and " + "slice it into `num_processes` batches for each process." + ) from e + # In both cases, we need to get the structure of the batch that we will broadcast on other + # processes to initialize the tensors with the right shape. + # data_structure, stop_iteration + batch_info = [get_data_structure(batch), False] + except StopIteration: + batch_info = [None, True] + else: + batch_info = [None, self._stop_iteration] + # This is inplace, so after this instruction, every process has the same `batch_info` as process 0. + broadcast_object_list(batch_info) + self._stop_iteration = batch_info[1] + if self._stop_iteration: + # If drop_last is False and split_batches is False, we may have a remainder to take care of. + if not self.split_batches and not self._drop_last: + if self.state.process_index == 0 and len(batches) > 0: + batch = concatenate(batches, dim=0) + batch_info = [get_data_structure(batch), False] + else: + batch_info = [None, True] + broadcast_object_list(batch_info) + return batch, batch_info + + def __iter__(self): + self.begin() + self.set_epoch(self.iteration) + main_iterator = None + if is_torch_version(">=", "2.0.1"): + # NOTE PyTorch DataLoader adds forward compatibilities for DataPipes, which broadcasts + # shared seed to all dist processes. Thus, we need to create iterator for all dist processes. + # But, we only iterate through the DataLoader on process 0. + main_iterator = self.base_dataloader.__iter__() + elif self.state.process_index == 0: + main_iterator = self.base_dataloader.__iter__() + stop_iteration = False + self._stop_iteration = False + first_batch = None + next_batch, next_batch_info = self._fetch_batches(main_iterator) + batch_index = 0 + while not stop_iteration: + batch, batch_info = next_batch, next_batch_info + + if self.state.process_index != 0: + # Initialize tensors on other processes than process 0. + batch = initialize_tensors(batch_info[0]) + batch = send_to_device(batch, self.state.device, non_blocking=self._non_blocking) + # Broadcast the batch before splitting it. + batch = broadcast(batch, from_process=0) + + if not self._drop_last and first_batch is None: + # We keep at least num processes elements of the first batch to be able to complete the last batch + first_batch = self.slice_fn( + batch, + slice(0, self.state.num_processes), + process_index=self.state.process_index, + num_processes=self.state.num_processes, + ) + + if batch is None: + raise ValueError( + f"Batch does not contain any data (`{batch}`). At the end of all iterable data available before expected stop iteration." + ) + + observed_batch_size = find_batch_size(batch) + batch_size = observed_batch_size // self.state.num_processes + + stop_iteration = self._stop_iteration + if not stop_iteration: + # We may still be at the end of the dataloader without knowing it yet: if there is nothing left in + # the dataloader since the number of batches is a round multiple of the number of processes. + next_batch, next_batch_info = self._fetch_batches(main_iterator) + # next_batch_info[0] is None when there are no more batches, otherwise we still need to process them. + if self._stop_iteration and next_batch_info[0] is None: + stop_iteration = True + + if not self._drop_last and stop_iteration and observed_batch_size % self.state.num_processes != 0: + # If the last batch is not complete, let's add the first batch to it. + batch = concatenate([batch, first_batch], dim=0) + # Batch size computation above is wrong, it's off by 1 so we fix it. + batch_size += 1 + + data_slice = slice(self.state.process_index * batch_size, (self.state.process_index + 1) * batch_size) + batch = self.slice_fn( + batch, + data_slice, + process_index=self.state.process_index, + num_processes=self.state.num_processes, + ) + + if stop_iteration: + self.end_of_dataloader = True + self._update_state_dict() + self.remainder = observed_batch_size + if batch_index >= self.skip_batches: + yield batch + batch_index += 1 + self.iteration += 1 + self.end() + + def set_epoch(self, epoch: int): + # In case it is manually passed in, the user can set it to what they like + if self.iteration != epoch: + self.iteration = epoch + if hasattr(self.batch_sampler, "sampler") and hasattr(self.batch_sampler.sampler, "set_epoch"): + self.batch_sampler.sampler.set_epoch(epoch) + elif hasattr(self.dataset, "set_epoch"): + self.dataset.set_epoch(epoch) + + def __len__(self): + whole_length = len(self.base_dataloader) + if self.split_batches: + return whole_length + elif self._drop_last: + return whole_length // self.state.num_processes + else: + return math.ceil(whole_length / self.state.num_processes) + + def __reduce__(self): + """ + Define the `__reduce__` method to ensure a `DataLoaderDispatcher` can be pickled and unpickled. This needs to + be explicitly defined since default pickling behavior is broken by `DataLoaderAdapter` messing with its + `__class__` member. + """ + args = super().__reduce__() + return (DataLoaderDispatcher, *args[1:]) + + @property + def total_batch_size(self): + return ( + self.dataset.batch_size if self.split_batches else (self.dataset.batch_size * self.dataset.num_processes) + ) + + @property + def total_dataset_length(self): + return len(self.dataset) + + def get_sampler(self): + return get_sampler(self) + + def set_sampler(self, sampler): + sampler_is_batch_sampler = isinstance(self.sampler, BatchSampler) + if sampler_is_batch_sampler: + self.sampler.sampler = sampler + else: + self.batch_sampler.sampler = sampler + if hasattr(self.batch_sampler, "batch_sampler"): + self.batch_sampler.batch_sampler.sampler = sampler + + +def get_sampler(dataloader): + """ + Get the sampler associated to the dataloader + + Args: + dataloader (`torch.utils.data.dataloader.DataLoader`): + The data loader to split across several devices. + Returns: + `torch.utils.data.Sampler`: The sampler associated to the dataloader + """ + sampler_is_batch_sampler = isinstance(dataloader.sampler, BatchSampler) + if sampler_is_batch_sampler: + sampler = getattr(dataloader.sampler, "sampler", None) + else: + sampler = getattr(dataloader.batch_sampler, "sampler", None) + return sampler + + +def prepare_data_loader( + dataloader: DataLoader, + device: Optional[torch.device] = None, + num_processes: Optional[int] = None, + process_index: Optional[int] = None, + split_batches: bool = False, + put_on_device: bool = False, + rng_types: Optional[list[Union[str, RNGType]]] = None, + dispatch_batches: Optional[bool] = None, + even_batches: bool = True, + slice_fn_for_dispatch: Optional[Callable] = None, + use_seedable_sampler: bool = False, + data_seed: Optional[int] = None, + non_blocking: bool = False, + use_stateful_dataloader: bool = False, + torch_device_mesh=None, +) -> DataLoader: + """ + Wraps a PyTorch `DataLoader` to generate batches for one of the processes only. + + Depending on the value of the `drop_last` attribute of the `dataloader` passed, it will either stop the iteration + at the first batch that would be too small / not present on all processes or loop with indices from the beginning. + + Args: + dataloader (`torch.utils.data.dataloader.DataLoader`): + The data loader to split across several devices. + device (`torch.device`): + The target device for the returned `DataLoader`. + num_processes (`int`, *optional*): + The number of processes running concurrently. Will default to the value given by [`~state.PartialState`]. + process_index (`int`, *optional*): + The index of the current process. Will default to the value given by [`~state.PartialState`]. + split_batches (`bool`, *optional*, defaults to `False`): + Whether the resulting `DataLoader` should split the batches of the original data loader across devices or + yield full batches (in which case it will yield batches starting at the `process_index`-th and advancing of + `num_processes` batches at each iteration). + + Another way to see this is that the observed batch size will be the same as the initial `dataloader` if + this option is set to `True`, the batch size of the initial `dataloader` multiplied by `num_processes` + otherwise. + + Setting this option to `True` requires that the batch size of the `dataloader` is a round multiple of + `batch_size`. + put_on_device (`bool`, *optional*, defaults to `False`): + Whether or not to put the batches on `device` (only works if the batches are nested list, tuples or + dictionaries of tensors). + rng_types (list of `str` or [`~utils.RNGType`]): + The list of random number generators to synchronize at the beginning of each iteration. Should be one or + several of: + + - `"torch"`: the base torch random number generator + - `"cuda"`: the CUDA random number generator (GPU only) + - `"xla"`: the XLA random number generator (TPU only) + - `"generator"`: the `torch.Generator` of the sampler (or batch sampler if there is no sampler in your + dataloader) or of the iterable dataset (if it exists) if the underlying dataset is of that type. + + dispatch_batches (`bool`, *optional*): + If set to `True`, the dataloader prepared is only iterated through on the main process and then the batches + are split and broadcast to each process. Will default to `True` when the underlying dataset is an + `IterableDataset`, `False` otherwise. + even_batches (`bool`, *optional*, defaults to `True`): + If set to `True`, in cases where the total batch size across all processes does not exactly divide the + dataset, samples at the start of the dataset will be duplicated so the batch can be divided equally among + all workers. + slice_fn_for_dispatch (`Callable`, *optional*`): + If passed, this function will be used to slice tensors across `num_processes`. Will default to + [`~utils.slice_tensors`]. This argument is used only when `dispatch_batches` is set to `True` and will be + ignored otherwise. + use_seedable_sampler (`bool`, *optional*, defaults to `False`): + Whether to use the [`~data_loader.SeedableRandomSampler`] instead of a `RandomSampler` for better + reproducibility. Comes at a cost of potentially different performances due to different shuffling + algorithms but ensures results will be the *exact* same. Should be paired with `set_seed()` at every + `self.set_epoch` + data_seed (`int`, *optional*, defaults to `None`): + The seed to use for the underlying generator when using `use_seedable_sampler`. If `None`, the generator + will use the current default seed from torch. + non_blocking (`bool`, *optional*, defaults to `False`): + If set to `True`, dataloader will utilize non-blocking host-to-device transfers. If the dataloader has + `pin_memory` set to `True`, this will help to increase overlap between data transfer and computations. + use_stateful_dataloader (`bool`, *optional*, defaults to `False`): + "If set to true, the dataloader prepared by the Accelerator will be backed by " + "[torchdata.StatefulDataLoader](https://github.com/pytorch/data/tree/main/torchdata/stateful_dataloader). + This requires `torchdata` version 0.8.0 or higher that supports StatefulDataLoader to be installed." + torch_device_mesh (`torch.distributed.DeviceMesh`, *optional*, defaults to `None`): + PyTorch device mesh. + + + Returns: + `torch.utils.data.dataloader.DataLoader`: A new data loader that will yield the portion of the batches + + + + `BatchSampler`s with varying batch sizes are not enabled by default. To enable this behaviour, set `even_batches` + equal to `False` + + + """ + if dispatch_batches is None: + if not put_on_device: + dispatch_batches = False + else: + dispatch_batches = isinstance(dataloader.dataset, IterableDataset) + + if dispatch_batches and not put_on_device: + raise ValueError("Using `dispatch_batches=True` requires `put_on_device=True`.") + # Grab defaults from PartialState + state = PartialState() + if num_processes is None: + num_processes = state.num_processes + + if process_index is None: + process_index = state.process_index + + if torch_device_mesh: + if state.distributed_type == DistributedType.DEEPSPEED: + # In DeepSpeed, the optimizer sharing level in DP is determined by the config file. + # Only considers "dp" and "tp". + # Given a device mesh (dp, tp) = (2, 3): + # - From the data parallel perspective, ranks should be structured as: 0 0 0 1 1 1 + # - Processes with the same DP rank will receive the same batch. + submesh_tp_size = 1 + if "tp" in torch_device_mesh.mesh_dim_names: + submesh_tp_size = torch_device_mesh["tp"].size() + process_index = process_index // submesh_tp_size + num_processes = num_processes // submesh_tp_size + else: + # when device mesh is used, specifically with TP + # then there is need to update process_index and num_processes + # to bring in the effect of generating same batch across TP ranks + # and different batch across FSDP and DP ranks. + # Example: + # if device mesh is (dp,fsdp,tp) = (2, 2, 3) + # ranks would range from 0...11 + # from data angle ranks should look like 0 0 0 1 1 1 2 2 2 3 3 3 + # processes with same ranks/ids would receive the same batch + # for CP the same as TP applies + submesh_fsdp_size = 1 + submesh_dp_size = 1 + submesh_tp_size = 1 + submesh_cp_size = 1 + if "tp" in torch_device_mesh.mesh_dim_names: + submesh_tp_size = torch_device_mesh["tp"].size() + if "cp" in torch_device_mesh.mesh_dim_names: + submesh_cp_size = torch_device_mesh["cp"].size() + if "dp_replicate" in torch_device_mesh.mesh_dim_names: + submesh_dp_size = torch_device_mesh["dp_replicate"].size() + if "dp_shard" in torch_device_mesh.mesh_dim_names: + submesh_fsdp_size = torch_device_mesh["dp_shard"].size() + process_index = process_index // (submesh_tp_size * submesh_cp_size) + num_processes = submesh_fsdp_size * submesh_dp_size + + # Sanity check + if split_batches: + if dataloader.batch_size is not None: + batch_size_for_check = dataloader.batch_size + else: + # For custom batch_sampler + if hasattr(dataloader.batch_sampler, "batch_size"): + batch_size_for_check = dataloader.batch_sampler.batch_size + else: + raise ValueError( + "In order to use `split_batches==True` you must have a `batch_size` attribute either in the passed " + "`dataloader` or `dataloader.batch_sampler` objects, and it has to return a natural number. " + "Your `dataloader.batch_size` is None and `dataloader.batch_sampler` " + f"(`{type(dataloader.batch_sampler)}`) does not have the `batch_size` attribute set." + ) + + if batch_size_for_check > 1 and batch_size_for_check % num_processes != 0: + raise ValueError( + f"To use a `DataLoader` in `split_batches` mode, the batch size ({dataloader.batch_size}) " + f"needs to be a round multiple of the number of processes ({num_processes})." + ) + + new_dataset = dataloader.dataset + # Iterable dataset doesn't like batch_sampler, but data_loader creates a default one for it + new_batch_sampler = dataloader.batch_sampler if not isinstance(new_dataset, IterableDataset) else None + sampler_is_batch_sampler = isinstance(dataloader.sampler, BatchSampler) + synchronized_generator = None + + sampler = get_sampler(dataloader) + if isinstance(sampler, RandomSampler) and use_seedable_sampler: + # When iterating through the dataloader during distributed processes + # we want to ensure that on each process we are iterating through the same + # samples in the same order if a seed is set. This requires a tweak + # to the `torch.utils.data.RandomSampler` class (if used). + sampler = SeedableRandomSampler( + data_source=sampler.data_source, + replacement=sampler.replacement, + num_samples=sampler._num_samples, + generator=getattr( + sampler, + "generator", + torch.Generator(device=torch.get_default_device() if hasattr(torch, "get_default_device") else "cpu"), + ), + data_seed=data_seed, + ) + + if isinstance(dataloader.sampler, RandomSampler) and state.distributed_type == DistributedType.XLA: + # isinstance(dataloader.sampler, RandomSampler) indicates the original dataloader has `shuffle` enabled. + generator = torch.Generator( + device=torch.get_default_device() if hasattr(torch, "get_default_device") else "cpu" + ) + seed = int(torch.empty((), dtype=torch.int64).random_().item()) + generator.manual_seed(seed) + dataloader.generator = generator + dataloader.sampler.generator = generator + # No change if no multiprocess + if (num_processes != 1 or state.distributed_type == DistributedType.MEGATRON_LM) and not dispatch_batches: + if is_datasets_available(): + from datasets import IterableDataset as DatasetsIterableDataset + if ( + is_datasets_available() + and isinstance(new_dataset, DatasetsIterableDataset) + and not split_batches + and new_dataset.n_shards > num_processes + ): + new_dataset = new_dataset.shard(num_shards=num_processes, index=process_index) + elif isinstance(new_dataset, IterableDataset): + if getattr(dataloader.dataset, "generator", None) is not None: + synchronized_generator = dataloader.dataset.generator + new_dataset = IterableDatasetShard( + new_dataset, + batch_size=dataloader.batch_size, + drop_last=dataloader.drop_last, + num_processes=num_processes, + process_index=process_index, + split_batches=split_batches, + ) + else: + if not use_seedable_sampler and hasattr(sampler, "generator"): + if sampler.generator is None: + sampler.generator = torch.Generator( + device=torch.get_default_device() if hasattr(torch, "get_default_device") else "cpu" + ) + seed = int(torch.empty((), dtype=torch.int64).random_().item()) + sampler.generator.manual_seed(seed) + synchronized_generator = sampler.generator + batch_sampler = dataloader.sampler if sampler_is_batch_sampler else dataloader.batch_sampler + new_batch_sampler = BatchSamplerShard( + batch_sampler, + num_processes=num_processes, + process_index=process_index, + split_batches=split_batches, + even_batches=even_batches, + ) + + # We ignore all of those since they are all dealt with by our new_batch_sampler + ignore_kwargs = [ + "batch_size", + "shuffle", + "sampler", + "batch_sampler", + "drop_last", + ] + + if rng_types is not None and synchronized_generator is None and "generator" in rng_types: + rng_types.remove("generator") + + kwargs = { + k: getattr(dataloader, k, _PYTORCH_DATALOADER_KWARGS[k]) + for k in _PYTORCH_DATALOADER_KWARGS + if k not in ignore_kwargs + } + + # Need to provide batch_size as batch_sampler is None for Iterable dataset + if new_batch_sampler is None: + kwargs["drop_last"] = dataloader.drop_last + kwargs["batch_size"] = ( + dataloader.batch_size // num_processes if split_batches and not dispatch_batches else dataloader.batch_size + ) + if dispatch_batches: + kwargs.pop("generator") + dataloader = DataLoaderDispatcher( + new_dataset, + split_batches=split_batches, + batch_sampler=new_batch_sampler, + _drop_last=dataloader.drop_last, + _non_blocking=non_blocking, + slice_fn=slice_fn_for_dispatch, + use_stateful_dataloader=use_stateful_dataloader, + torch_device_mesh=torch_device_mesh, + **kwargs, + ) + elif sampler_is_batch_sampler: + dataloader = DataLoaderShard( + new_dataset, + device=device if put_on_device and state.distributed_type != DistributedType.XLA else None, + sampler=new_batch_sampler, + batch_size=dataloader.batch_size, + rng_types=rng_types, + _drop_last=dataloader.drop_last, + _non_blocking=non_blocking, + synchronized_generator=synchronized_generator, + use_stateful_dataloader=use_stateful_dataloader, + **kwargs, + ) + else: + dataloader = DataLoaderShard( + new_dataset, + device=device if put_on_device and state.distributed_type != DistributedType.XLA else None, + batch_sampler=new_batch_sampler, + rng_types=rng_types, + synchronized_generator=synchronized_generator, + _drop_last=dataloader.drop_last, + _non_blocking=non_blocking, + use_stateful_dataloader=use_stateful_dataloader, + **kwargs, + ) + + if isinstance(sampler, SeedableRandomSampler) and use_seedable_sampler: + dataloader.set_sampler(sampler) + if state.distributed_type == DistributedType.XLA: + return MpDeviceLoaderWrapper(dataloader, device) + return dataloader + + +class SkipBatchSampler(BatchSampler): + """ + A `torch.utils.data.BatchSampler` that skips the first `n` batches of another `torch.utils.data.BatchSampler`. + Should not be used if the original dataloader is a `StatefulDataLoader`. + """ + + def __init__(self, batch_sampler, skip_batches=0): + self.batch_sampler = batch_sampler + self.skip_batches = skip_batches + + def __iter__(self): + for index, samples in enumerate(self.batch_sampler): + if index >= self.skip_batches: + yield samples + + @property + def total_length(self): + return len(self.batch_sampler) + + def __len__(self): + return len(self.batch_sampler) - self.skip_batches + + +class SkipDataLoader(DataLoaderAdapter, DataLoaderStateMixin): + """ + Subclass of a PyTorch `DataLoader` that will skip the first batches. Generally it's preferable to use + `skip_first_batches`/`torchdata.StatefulDataLoader` instead of this class. + + Args: + dataset (`torch.utils.data.dataset.Dataset`): + The dataset to use to build this dataloader. + skip_batches (`int`, *optional*, defaults to 0): + The number of batches to skip at the beginning. + kwargs: + All other keyword arguments to pass to the regular `DataLoader` initialization. + """ + + def __init__(self, dataset, skip_batches=0, use_stateful_dataloader=False, **kwargs): + super().__init__(dataset, use_stateful_dataloader=use_stateful_dataloader, **kwargs) + self.skip_batches = skip_batches + self.gradient_state = GradientState() + + def __iter__(self): + self.begin() + for index, batch in enumerate(self.base_dataloader.__iter__()): + if index >= self.skip_batches: + self._update_state_dict() + yield batch + self.end() + + def __len__(self): + return len(self.base_dataloader) - self.skip_batches + + def __reduce__(self): + """ + Define the `__reduce__` method to ensure a `SkipDataLoader` can be pickled and unpickled. This needs to be + explicitly defined since default pickling behavior is broken by `DataLoaderAdapter` messing with its + `__class__` member. + """ + args = super().__reduce__() + return (SkipDataLoader, *args[1:]) + + +def skip_first_batches(dataloader, num_batches=0): + """ + Creates a `torch.utils.data.DataLoader` that will efficiently skip the first `num_batches`. Should not be used if + the original dataloader is a `StatefulDataLoader`. + """ + state = PartialState() + if state.distributed_type == DistributedType.XLA: + device = dataloader.device + dataloader = dataloader.dataloader + + dataset = dataloader.dataset + sampler_is_batch_sampler = False + if isinstance(dataset, IterableDataset): + new_batch_sampler = None + else: + sampler_is_batch_sampler = isinstance(dataloader.sampler, BatchSampler) + batch_sampler = dataloader.sampler if sampler_is_batch_sampler else dataloader.batch_sampler + new_batch_sampler = SkipBatchSampler(batch_sampler, skip_batches=num_batches) + + # We ignore all of those since they are all dealt with by our new_batch_sampler + ignore_kwargs = [ + "batch_size", + "shuffle", + "sampler", + "batch_sampler", + "drop_last", + ] + + kwargs = { + k: getattr(dataloader, k, _PYTORCH_DATALOADER_KWARGS[k]) + for k in _PYTORCH_DATALOADER_KWARGS + if k not in ignore_kwargs + } + + # Need to provide batch_size as batch_sampler is None for Iterable dataset + if new_batch_sampler is None: + kwargs["drop_last"] = dataloader.drop_last + kwargs["batch_size"] = dataloader.batch_size + + if isinstance(dataloader, DataLoaderDispatcher): + if new_batch_sampler is None: + # Need to manually skip batches in the dataloader + kwargs["skip_batches"] = num_batches + dataloader = DataLoaderDispatcher( + dataset, + split_batches=dataloader.split_batches, + batch_sampler=new_batch_sampler, + _drop_last=dataloader._drop_last, + **kwargs, + ) + elif isinstance(dataloader, DataLoaderShard): + if new_batch_sampler is None: + # Need to manually skip batches in the dataloader + kwargs["skip_batches"] = num_batches + elif sampler_is_batch_sampler: + kwargs["sampler"] = new_batch_sampler + kwargs["batch_size"] = dataloader.batch_size + else: + kwargs["batch_sampler"] = new_batch_sampler + dataloader = DataLoaderShard( + dataset, + device=dataloader.device, + rng_types=dataloader.rng_types, + synchronized_generator=dataloader.synchronized_generator, + **kwargs, + ) + else: + if new_batch_sampler is None: + # Need to manually skip batches in the dataloader + dataloader = SkipDataLoader(dataset, skip_batches=num_batches, **kwargs) + else: + dataloader = DataLoader(dataset, batch_sampler=new_batch_sampler, **kwargs) + + if state.distributed_type == DistributedType.XLA: + dataloader = MpDeviceLoaderWrapper(dataloader, device) + + return dataloader diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/hooks.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/hooks.py new file mode 100644 index 0000000000000000000000000000000000000000..5d6a22e0a9e7db49edea04d6c330477ef981e8bc --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/hooks.py @@ -0,0 +1,776 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import functools +from collections.abc import Mapping +from typing import Optional, Union + +import torch +import torch.nn as nn + +from .state import PartialState +from .utils import ( + PrefixedDataset, + find_device, + named_module_tensors, + send_to_device, + set_module_tensor_to_device, +) +from .utils.imports import ( + is_mlu_available, + is_musa_available, + is_npu_available, +) +from .utils.memory import clear_device_cache +from .utils.modeling import get_non_persistent_buffers +from .utils.other import recursive_getattr + + +_accelerate_added_attributes = ["to", "cuda", "npu", "xpu", "mlu", "sdaa", "musa"] + + +class ModelHook: + """ + A hook that contains callbacks to be executed just before and after the forward method of a model. The difference + with PyTorch existing hooks is that they get passed along the kwargs. + + Class attribute: + - **no_grad** (`bool`, *optional*, defaults to `False`) -- Whether or not to execute the actual forward pass under + the `torch.no_grad()` context manager. + """ + + no_grad = False + + def init_hook(self, module): + """ + To be executed when the hook is attached to the module. + + Args: + module (`torch.nn.Module`): The module attached to this hook. + """ + return module + + def pre_forward(self, module, *args, **kwargs): + """ + To be executed just before the forward method of the model. + + Args: + module (`torch.nn.Module`): The module whose forward pass will be executed just after this event. + args (`Tuple[Any]`): The positional arguments passed to the module. + kwargs (`Dict[Str, Any]`): The keyword arguments passed to the module. + + Returns: + `Tuple[Tuple[Any], Dict[Str, Any]]`: A tuple with the treated `args` and `kwargs`. + """ + return args, kwargs + + def post_forward(self, module, output): + """ + To be executed just after the forward method of the model. + + Args: + module (`torch.nn.Module`): The module whose forward pass been executed just before this event. + output (`Any`): The output of the module. + + Returns: + `Any`: The processed `output`. + """ + return output + + def detach_hook(self, module): + """ + To be executed when the hook is detached from a module. + + Args: + module (`torch.nn.Module`): The module detached from this hook. + """ + return module + + +class SequentialHook(ModelHook): + """ + A hook that can contain several hooks and iterates through them at each event. + """ + + def __init__(self, *hooks): + self.hooks = hooks + + def init_hook(self, module): + for hook in self.hooks: + module = hook.init_hook(module) + return module + + def pre_forward(self, module, *args, **kwargs): + for hook in self.hooks: + args, kwargs = hook.pre_forward(module, *args, **kwargs) + return args, kwargs + + def post_forward(self, module, output): + for hook in self.hooks: + output = hook.post_forward(module, output) + return output + + def detach_hook(self, module): + for hook in self.hooks: + module = hook.detach_hook(module) + return module + + +def add_hook_to_module(module: nn.Module, hook: ModelHook, append: bool = False): + """ + Adds a hook to a given module. This will rewrite the `forward` method of the module to include the hook, to remove + this behavior and restore the original `forward` method, use `remove_hook_from_module`. + + + + If the module already contains a hook, this will replace it with the new hook passed by default. To chain two hooks + together, pass `append=True`, so it chains the current and new hook into an instance of the `SequentialHook` class. + + + + Args: + module (`torch.nn.Module`): + The module to attach a hook to. + hook (`ModelHook`): + The hook to attach. + append (`bool`, *optional*, defaults to `False`): + Whether the hook should be chained with an existing one (if module already contains a hook) or not. + + Returns: + `torch.nn.Module`: The same module, with the hook attached (the module is modified in place, so the result can + be discarded). + """ + if append and (getattr(module, "_hf_hook", None) is not None): + old_hook = module._hf_hook + remove_hook_from_module(module) + hook = SequentialHook(old_hook, hook) + + if hasattr(module, "_hf_hook") and hasattr(module, "_old_forward"): + # If we already put some hook on this module, we replace it with the new one. + old_forward = module._old_forward + else: + old_forward = module.forward + module._old_forward = old_forward + + module = hook.init_hook(module) + module._hf_hook = hook + + def new_forward(module, *args, **kwargs): + args, kwargs = module._hf_hook.pre_forward(module, *args, **kwargs) + if module._hf_hook.no_grad: + with torch.no_grad(): + output = module._old_forward(*args, **kwargs) + else: + output = module._old_forward(*args, **kwargs) + return module._hf_hook.post_forward(module, output) + + # Overriding a GraphModuleImpl forward freezes the forward call and later modifications on the graph will fail. + # Reference: https://pytorch.slack.com/archives/C3PDTEV8E/p1705929610405409 + if "GraphModuleImpl" in str(type(module)): + module.__class__.forward = functools.update_wrapper(functools.partial(new_forward, module), old_forward) + else: + module.forward = functools.update_wrapper(functools.partial(new_forward, module), old_forward) + + return module + + +def remove_hook_from_module(module: nn.Module, recurse=False): + """ + Removes any hook attached to a module via `add_hook_to_module`. + + Args: + module (`torch.nn.Module`): The module to attach a hook to. + recurse (`bool`, **optional**): Whether to remove the hooks recursively + + Returns: + `torch.nn.Module`: The same module, with the hook detached (the module is modified in place, so the result can + be discarded). + """ + + if hasattr(module, "_hf_hook"): + module._hf_hook.detach_hook(module) + delattr(module, "_hf_hook") + + if hasattr(module, "_old_forward"): + # Overriding a GraphModuleImpl forward freezes the forward call and later modifications on the graph will fail. + # Reference: https://pytorch.slack.com/archives/C3PDTEV8E/p1705929610405409 + if "GraphModuleImpl" in str(type(module)): + module.__class__.forward = module._old_forward + else: + module.forward = module._old_forward + delattr(module, "_old_forward") + + # Remove accelerate added warning hooks from dispatch_model + for attr in _accelerate_added_attributes: + module.__dict__.pop(attr, None) + + if recurse: + for child in module.children(): + remove_hook_from_module(child, recurse) + + return module + + +class AlignDevicesHook(ModelHook): + """ + A generic `ModelHook` that ensures inputs and model weights are on the same device for the forward pass of the + associated module, potentially offloading the weights after the forward pass. + + Args: + execution_device (`torch.device`, *optional*): + The device on which inputs and model weights should be placed before the forward pass. + offload (`bool`, *optional*, defaults to `False`): + Whether or not the weights should be offloaded after the forward pass. + io_same_device (`bool`, *optional*, defaults to `False`): + Whether or not the output should be placed on the same device as the input was. + weights_map (`Mapping[str, torch.Tensor]`, *optional*): + When the model weights are offloaded, a (potentially lazy) map from param names to the tensor values. + offload_buffers (`bool`, *optional*, defaults to `False`): + Whether or not to include the associated module's buffers when offloading. + place_submodules (`bool`, *optional*, defaults to `False`): + Whether to place the submodules on `execution_device` during the `init_hook` event. + """ + + def __init__( + self, + execution_device: Optional[Union[int, str, torch.device]] = None, + offload: bool = False, + io_same_device: bool = False, + weights_map: Optional[Mapping] = None, + offload_buffers: bool = False, + place_submodules: bool = False, + skip_keys: Optional[Union[str, list[str]]] = None, + tied_params_map: Optional[dict[int, dict[torch.device, torch.Tensor]]] = None, + ): + self.execution_device = execution_device + self.offload = offload + self.io_same_device = io_same_device + self.weights_map = weights_map + self.offload_buffers = offload_buffers + self.place_submodules = place_submodules + self.skip_keys = skip_keys + + # Will contain the input device when `io_same_device=True`. + self.input_device = None + self.param_original_devices = {} + self.buffer_original_devices = {} + self.tied_params_names = set() + + # The hook pre_forward/post_forward need to have knowledge of this dictionary, as with offloading we want to avoid duplicating memory + # for tied weights already loaded on the target execution device. + self.tied_params_map = tied_params_map + + def __repr__(self): + return ( + f"AlignDevicesHook(execution_device={self.execution_device}, offload={self.offload}, " + f"io_same_device={self.io_same_device}, offload_buffers={self.offload_buffers}, " + f"place_submodules={self.place_submodules}, skip_keys={repr(self.skip_keys)})" + ) + + def init_hook(self, module): + # In case the AlignDevicesHook is on meta device, ignore tied weights as data_ptr() is then always zero. + if self.execution_device == "meta" or self.execution_device == torch.device("meta"): + self.tied_params_map = None + + if not self.offload and self.execution_device is not None: + for name, _ in named_module_tensors(module, recurse=self.place_submodules): + set_module_tensor_to_device(module, name, self.execution_device, tied_params_map=self.tied_params_map) + elif self.offload: + self.original_devices = { + name: param.device for name, param in named_module_tensors(module, recurse=self.place_submodules) + } + if self.weights_map is None: + self.weights_map = { + name: param.to("cpu") + for name, param in named_module_tensors( + module, include_buffers=self.offload_buffers, recurse=self.place_submodules + ) + } + for name, _ in named_module_tensors( + module, include_buffers=self.offload_buffers, recurse=self.place_submodules, remove_non_persistent=True + ): + # When using disk offloading, we can not rely on `weights_map[name].data_ptr()` as the reference pointer, + # as we have no guarantee that safetensors' `file.get_tensor()` will always give the same pointer. + # As we have no reliable way to track the shared data pointer of tied weights in this case, we use tied_params_names: List[str] + # to add on the fly pointers to `tied_params_map` in the pre_forward call. + if ( + self.tied_params_map is not None + and recursive_getattr(module, name).data_ptr() in self.tied_params_map + ): + self.tied_params_names.add(name) + + set_module_tensor_to_device(module, name, "meta") + + if not self.offload_buffers and self.execution_device is not None: + for name, _ in module.named_buffers(recurse=self.place_submodules): + set_module_tensor_to_device( + module, name, self.execution_device, tied_params_map=self.tied_params_map + ) + elif self.offload_buffers and self.execution_device is not None: + for name in get_non_persistent_buffers(module, recurse=self.place_submodules): + set_module_tensor_to_device( + module, name, self.execution_device, tied_params_map=self.tied_params_map + ) + + return module + + def pre_forward(self, module, *args, **kwargs): + if self.io_same_device: + self.input_device = find_device([args, kwargs]) + if self.offload: + self.tied_pointers_to_remove = set() + + for name, _ in named_module_tensors( + module, + include_buffers=self.offload_buffers, + recurse=self.place_submodules, + remove_non_persistent=True, + ): + fp16_statistics = None + value = self.weights_map[name] + if "weight" in name and name.replace("weight", "SCB") in self.weights_map.keys(): + if value.dtype == torch.int8: + fp16_statistics = self.weights_map[name.replace("weight", "SCB")] + + # In case we are using offloading with tied weights, we need to keep track of the offloaded weights + # that are loaded on device at this point, as we will need to remove them as well from the dictionary + # self.tied_params_map in order to allow to free memory. + if name in self.tied_params_names and value.data_ptr() not in self.tied_params_map: + self.tied_params_map[value.data_ptr()] = {} + + if ( + value is not None + and self.tied_params_map is not None + and value.data_ptr() in self.tied_params_map + and self.execution_device not in self.tied_params_map[value.data_ptr()] + ): + self.tied_pointers_to_remove.add((value.data_ptr(), self.execution_device)) + + set_module_tensor_to_device( + module, + name, + self.execution_device, + value=value, + fp16_statistics=fp16_statistics, + tied_params_map=self.tied_params_map, + ) + + return send_to_device(args, self.execution_device), send_to_device( + kwargs, self.execution_device, skip_keys=self.skip_keys + ) + + def post_forward(self, module, output): + if self.offload: + for name, _ in named_module_tensors( + module, + include_buffers=self.offload_buffers, + recurse=self.place_submodules, + remove_non_persistent=True, + ): + set_module_tensor_to_device(module, name, "meta") + if type(module).__name__ == "Linear8bitLt": + module.state.SCB = None + module.state.CxB = None + + # We may have loaded tied weights into self.tied_params_map (avoiding to load them several times in e.g. submodules): remove them from + # this dictionary to allow the garbage collector to do its job. + for value_pointer, device in self.tied_pointers_to_remove: + if isinstance(device, int): + if is_npu_available(): + device = f"npu:{device}" + elif is_mlu_available(): + device = f"mlu:{device}" + elif is_musa_available(): + device = f"musa:{device}" + if device in self.tied_params_map[value_pointer]: + del self.tied_params_map[value_pointer][device] + self.tied_pointers_to_remove = set() + if self.io_same_device and self.input_device is not None: + output = send_to_device(output, self.input_device, skip_keys=self.skip_keys) + + return output + + def detach_hook(self, module): + if self.offload: + for name, device in self.original_devices.items(): + if device != torch.device("meta"): + set_module_tensor_to_device(module, name, device, value=self.weights_map.get(name, None)) + return module + + +def attach_execution_device_hook( + module: torch.nn.Module, + execution_device: Union[int, str, torch.device], + skip_keys: Optional[Union[str, list[str]]] = None, + preload_module_classes: Optional[list[str]] = None, + tied_params_map: Optional[dict[int, dict[torch.device, torch.Tensor]]] = None, +): + """ + Recursively attaches `AlignDevicesHook` to all submodules of a given model to make sure they have the right + execution device + + Args: + module (`torch.nn.Module`): + The module where we want to attach the hooks. + execution_device (`int`, `str` or `torch.device`): + The device on which inputs and model weights should be placed before the forward pass. + skip_keys (`str` or `List[str]`, *optional*): + A list of keys to ignore when moving inputs or outputs between devices. + preload_module_classes (`List[str]`, *optional*): + A list of classes whose instances should load all their weights (even in the submodules) at the beginning + of the forward. This should only be used for classes that have submodules which are registered but not + called directly during the forward, for instance if a `dense` linear layer is registered, but at forward, + `dense.weight` and `dense.bias` are used in some operations instead of calling `dense` directly. + tied_params_map (Optional[Dict[int, Dict[torch.device, torch.Tensor]]], *optional*, defaults to `None`): + A map of data pointers to dictionaries of devices to already dispatched tied weights. For a given execution + device, this parameter is useful to reuse the first available pointer of a shared weight for all others, + instead of duplicating memory. + """ + if not hasattr(module, "_hf_hook") and len(module.state_dict()) > 0: + add_hook_to_module( + module, + AlignDevicesHook(execution_device, skip_keys=skip_keys, tied_params_map=tied_params_map), + ) + + # Break the recursion if we get to a preload module. + if preload_module_classes is not None and module.__class__.__name__ in preload_module_classes: + return + + for child in module.children(): + attach_execution_device_hook( + child, + execution_device, + skip_keys=skip_keys, + preload_module_classes=preload_module_classes, + tied_params_map=tied_params_map, + ) + + +def attach_align_device_hook( + module: torch.nn.Module, + execution_device: Optional[torch.device] = None, + offload: bool = False, + weights_map: Optional[Mapping] = None, + offload_buffers: bool = False, + module_name: str = "", + skip_keys: Optional[Union[str, list[str]]] = None, + preload_module_classes: Optional[list[str]] = None, + tied_params_map: Optional[dict[int, dict[torch.device, torch.Tensor]]] = None, +): + """ + Recursively attaches `AlignDevicesHook` to all submodules of a given model that have direct parameters and/or + buffers. + + Args: + module (`torch.nn.Module`): + The module where we want to attach the hooks. + execution_device (`torch.device`, *optional*): + The device on which inputs and model weights should be placed before the forward pass. + offload (`bool`, *optional*, defaults to `False`): + Whether or not the weights should be offloaded after the forward pass. + weights_map (`Mapping[str, torch.Tensor]`, *optional*): + When the model weights are offloaded, a (potentially lazy) map from param names to the tensor values. + offload_buffers (`bool`, *optional*, defaults to `False`): + Whether or not to include the associated module's buffers when offloading. + module_name (`str`, *optional*, defaults to `""`): + The name of the module. + skip_keys (`str` or `List[str]`, *optional*): + A list of keys to ignore when moving inputs or outputs between devices. + preload_module_classes (`List[str]`, *optional*): + A list of classes whose instances should load all their weights (even in the submodules) at the beginning + of the forward. This should only be used for classes that have submodules which are registered but not + called directly during the forward, for instance if a `dense` linear layer is registered, but at forward, + `dense.weight` and `dense.bias` are used in some operations instead of calling `dense` directly. + tied_params_map (Optional[Dict[int, Dict[torch.device, torch.Tensor]]], *optional*, defaults to `None`): + A map of data pointers to dictionaries of devices to already dispatched tied weights. For a given execution + device, this parameter is useful to reuse the first available pointer of a shared weight for all others, + instead of duplicating memory. + """ + # Attach the hook on this module if it has any direct tensor. + directs = named_module_tensors(module) + full_offload = ( + offload and preload_module_classes is not None and module.__class__.__name__ in preload_module_classes + ) + + if len(list(directs)) > 0 or full_offload: + if weights_map is not None: + prefix = f"{module_name}." if len(module_name) > 0 else "" + prefixed_weights_map = PrefixedDataset(weights_map, prefix) + else: + prefixed_weights_map = None + hook = AlignDevicesHook( + execution_device=execution_device, + offload=offload, + weights_map=prefixed_weights_map, + offload_buffers=offload_buffers, + place_submodules=full_offload, + skip_keys=skip_keys, + tied_params_map=tied_params_map, + ) + add_hook_to_module(module, hook, append=True) + + # We stop the recursion in case we hit the full offload. + if full_offload: + return + + # Recurse on all children of the module. + for child_name, child in module.named_children(): + child_name = f"{module_name}.{child_name}" if len(module_name) > 0 else child_name + attach_align_device_hook( + child, + execution_device=execution_device, + offload=offload, + weights_map=weights_map, + offload_buffers=offload_buffers, + module_name=child_name, + preload_module_classes=preload_module_classes, + skip_keys=skip_keys, + tied_params_map=tied_params_map, + ) + + +def remove_hook_from_submodules(module: nn.Module): + """ + Recursively removes all hooks attached on the submodules of a given model. + + Args: + module (`torch.nn.Module`): The module on which to remove all hooks. + """ + remove_hook_from_module(module) + for child in module.children(): + remove_hook_from_submodules(child) + + +def attach_align_device_hook_on_blocks( + module: nn.Module, + execution_device: Optional[Union[torch.device, dict[str, torch.device]]] = None, + offload: Union[bool, dict[str, bool]] = False, + weights_map: Optional[Mapping] = None, + offload_buffers: bool = False, + module_name: str = "", + skip_keys: Optional[Union[str, list[str]]] = None, + preload_module_classes: Optional[list[str]] = None, + tied_params_map: Optional[dict[int, dict[torch.device, torch.Tensor]]] = None, +): + """ + Attaches `AlignDevicesHook` to all blocks of a given model as needed. + + Args: + module (`torch.nn.Module`): + The module where we want to attach the hooks. + execution_device (`torch.device` or `Dict[str, torch.device]`, *optional*): + The device on which inputs and model weights should be placed before the forward pass. It can be one device + for the whole module, or a dictionary mapping module name to device. + offload (`bool`, *optional*, defaults to `False`): + Whether or not the weights should be offloaded after the forward pass. It can be one boolean for the whole + module, or a dictionary mapping module name to boolean. + weights_map (`Mapping[str, torch.Tensor]`, *optional*): + When the model weights are offloaded, a (potentially lazy) map from param names to the tensor values. + offload_buffers (`bool`, *optional*, defaults to `False`): + Whether or not to include the associated module's buffers when offloading. + module_name (`str`, *optional*, defaults to `""`): + The name of the module. + skip_keys (`str` or `List[str]`, *optional*): + A list of keys to ignore when moving inputs or outputs between devices. + preload_module_classes (`List[str]`, *optional*): + A list of classes whose instances should load all their weights (even in the submodules) at the beginning + of the forward. This should only be used for classes that have submodules which are registered but not + called directly during the forward, for instance if a `dense` linear layer is registered, but at forward, + `dense.weight` and `dense.bias` are used in some operations instead of calling `dense` directly. + tied_params_map (Optional[Dict[int, Dict[torch.device, torch.Tensor]]], *optional*, defaults to `None`): + A map of data pointers to dictionaries of devices to already dispatched tied weights. For a given execution + device, this parameter is useful to reuse the first available pointer of a shared weight for all others, + instead of duplicating memory. + """ + # If one device and one offload, we've got one hook. + if not isinstance(execution_device, Mapping) and not isinstance(offload, dict): + if not offload: + hook = AlignDevicesHook( + execution_device=execution_device, + io_same_device=True, + skip_keys=skip_keys, + place_submodules=True, + tied_params_map=tied_params_map, + ) + add_hook_to_module(module, hook) + else: + attach_align_device_hook( + module, + execution_device=execution_device, + offload=True, + weights_map=weights_map, + offload_buffers=offload_buffers, + module_name=module_name, + skip_keys=skip_keys, + tied_params_map=tied_params_map, + ) + return + + if not isinstance(execution_device, Mapping): + execution_device = {key: execution_device for key in offload.keys()} + if not isinstance(offload, Mapping): + offload = {key: offload for key in execution_device.keys()} + + if module_name in execution_device and module_name in offload and not offload[module_name]: + hook = AlignDevicesHook( + execution_device=execution_device[module_name], + offload_buffers=offload_buffers, + io_same_device=(module_name == ""), + place_submodules=True, + skip_keys=skip_keys, + tied_params_map=tied_params_map, + ) + add_hook_to_module(module, hook) + attach_execution_device_hook( + module, execution_device[module_name], skip_keys=skip_keys, tied_params_map=tied_params_map + ) + elif module_name in execution_device and module_name in offload: + attach_align_device_hook( + module, + execution_device=execution_device[module_name], + offload=True, + weights_map=weights_map, + offload_buffers=offload_buffers, + module_name=module_name, + skip_keys=skip_keys, + preload_module_classes=preload_module_classes, + tied_params_map=tied_params_map, + ) + if not hasattr(module, "_hf_hook"): + hook = AlignDevicesHook( + execution_device=execution_device[module_name], + io_same_device=(module_name == ""), + skip_keys=skip_keys, + tied_params_map=tied_params_map, + ) + add_hook_to_module(module, hook) + attach_execution_device_hook( + module, + execution_device[module_name], + preload_module_classes=preload_module_classes, + skip_keys=skip_keys, + tied_params_map=tied_params_map, + ) + elif module_name == "": + hook = AlignDevicesHook( + execution_device=execution_device.get(""), + io_same_device=True, + skip_keys=skip_keys, + tied_params_map=tied_params_map, + ) + add_hook_to_module(module, hook) + + for child_name, child in module.named_children(): + child_name = f"{module_name}.{child_name}" if len(module_name) > 0 else child_name + attach_align_device_hook_on_blocks( + child, + execution_device=execution_device, + offload=offload, + weights_map=weights_map, + offload_buffers=offload_buffers, + module_name=child_name, + preload_module_classes=preload_module_classes, + skip_keys=skip_keys, + tied_params_map=tied_params_map, + ) + + +class CpuOffload(ModelHook): + """ + Offloads a model on the CPU until its forward pass is called. The model will not be offloaded back to the CPU after + the forward, the user needs to call the `init_hook` method again for this. + + Args: + execution_device(`str`, `int` or `torch.device`, *optional*): + The device on which the model should be executed. Will default to the MPS device if it's available, then + GPU 0 if there is a GPU, and finally to the CPU. + prev_module_hook (`UserCpuOffloadHook`, *optional*): + The hook sent back by [`cpu_offload_with_hook`] for a previous model in the pipeline you are running. If + passed, its offload method will be called just before the forward of the model to which this hook is + attached. + """ + + def __init__( + self, + execution_device: Optional[Union[str, int, torch.device]] = None, + prev_module_hook: Optional["UserCpuOffloadHook"] = None, + ): + self.prev_module_hook = prev_module_hook + + self.execution_device = execution_device if execution_device is not None else PartialState().default_device + + def init_hook(self, module): + return module.to("cpu") + + def pre_forward(self, module, *args, **kwargs): + if self.prev_module_hook is not None and isinstance(self.prev_module_hook, UserCpuOffloadHook): + prev_module = self.prev_module_hook.model + prev_device = next(prev_module.parameters()).device + + # Only offload the previous module if it is not already on CPU. + if prev_device != torch.device("cpu"): + self.prev_module_hook.offload() + clear_device_cache() + + # If the current device is already the self.execution_device, we can skip the transfer. + current_device = next(module.parameters()).device + if current_device == self.execution_device: + return args, kwargs + + module.to(self.execution_device) + return send_to_device(args, self.execution_device), send_to_device(kwargs, self.execution_device) + + +class UserCpuOffloadHook: + """ + A simple hook grouping a model and a `ModelHook`, which provides easy APIs for to call the init method of the hook + or remove it entirely. + """ + + def __init__(self, model, hook): + self.model = model + self.hook = hook + + def offload(self): + self.hook.init_hook(self.model) + + def remove(self): + remove_hook_from_module(self.model) + + +class LayerwiseCastingHook(ModelHook): + r""" + A hook that casts the weights of a module to a high precision dtype for computation, and to a low precision dtype + for storage. This process may lead to quality loss in the output, but can significantly reduce the memory + footprint. + """ + + _is_stateful = False + + def __init__(self, storage_dtype: torch.dtype, compute_dtype: torch.dtype, non_blocking: bool) -> None: + self.storage_dtype = storage_dtype + self.compute_dtype = compute_dtype + self.non_blocking = non_blocking + + def init_hook(self, module: torch.nn.Module): + module.to(dtype=self.storage_dtype, non_blocking=self.non_blocking) + return module + + def pre_forward(self, module: torch.nn.Module, *args, **kwargs): + module.to(dtype=self.compute_dtype, non_blocking=self.non_blocking) + return args, kwargs + + def post_forward(self, module: torch.nn.Module, output): + module.to(dtype=self.storage_dtype, non_blocking=self.non_blocking) + return output diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/inference.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/inference.py new file mode 100644 index 0000000000000000000000000000000000000000..35c99399baba62f77bbaac8adf4e2eacdbabf779 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/inference.py @@ -0,0 +1,186 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import math +from types import MethodType +from typing import Any, Optional, Union + +from .state import PartialState +from .utils import ( + calculate_maximum_sizes, + convert_bytes, + copy_tensor_to_devices, + ignorant_find_batch_size, + infer_auto_device_map, + is_pippy_available, + pad_input_tensors, + send_to_device, +) + + +def generate_device_map( + model, num_processes: int = 1, no_split_module_classes=None, max_memory: Optional[dict] = None +): + """ + Calculates the device map for `model` with an offset for PiPPy + """ + if num_processes == 1: + return infer_auto_device_map(model, no_split_module_classes=no_split_module_classes, clean_result=False) + if max_memory is None: + model_size, shared = calculate_maximum_sizes(model) + + # Split into `n` chunks for each GPU + memory = (model_size + shared[0]) / num_processes + memory = convert_bytes(memory) + value, ending = memory.split(" ") + + # Add a chunk to deal with potential extra shared memory instances + memory = math.ceil(float(value)) * 1.1 + memory = f"{memory} {ending}" + max_memory = {i: memory for i in range(num_processes)} + device_map = infer_auto_device_map( + model, + max_memory=max_memory, + no_split_module_classes=no_split_module_classes, + clean_result=False, + ) + return device_map + + +def find_pippy_batch_size(args, kwargs): + found_batch_size = None + if args is not None: + for arg in args: + found_batch_size = ignorant_find_batch_size(arg) + if found_batch_size is not None: + break + if kwargs is not None and found_batch_size is None: + for kwarg in kwargs.values(): + found_batch_size = ignorant_find_batch_size(kwarg) + if found_batch_size is not None: + break + return found_batch_size + + +def build_pipeline(model, split_points, args, kwargs, num_chunks): + """ + Attaches the split points to the model based on `self.device_map` and generates a `PipelineStage`. Requires passing + in needed `args` and `kwargs` as the model needs on the CPU. + + Users can pass in custom `num_chunks` as an optional hyper-parameter. By default will use + `AcceleratorState.num_processes` + """ + # Note: We import here to reduce import time from general modules, and isolate outside dependencies + from torch.distributed.pipelining import ScheduleGPipe, SplitPoint, pipeline + + # We need to annotate the split points in the model for PiPPy + state = PartialState() + split_spec = {split_point: SplitPoint.BEGINNING for split_point in split_points} + pipe = pipeline( + model, + mb_args=args, + mb_kwargs=kwargs, + split_spec=split_spec, + ) + stage = pipe.build_stage(state.local_process_index, device=state.device) + schedule = ScheduleGPipe(stage, num_chunks) + + return schedule + + +def pippy_forward(forward, num_chunks, gather_output, *args, **kwargs): + state = PartialState() + output = None + + if state.num_processes == 1: + output = forward(*args, **kwargs) + elif state.is_local_main_process: + found_batch_size = find_pippy_batch_size(args, kwargs) + if found_batch_size is None: + raise ValueError("Could not find batch size from args or kwargs") + else: + if found_batch_size != num_chunks: + args = pad_input_tensors(args, found_batch_size, num_chunks) + kwargs = pad_input_tensors(kwargs, found_batch_size, num_chunks) + forward(*args, **kwargs) + elif state.is_last_process: + output = forward() + else: + forward() + if gather_output: + # Each node will get a copy of the full output which is only on the last GPU + output = copy_tensor_to_devices(output) + return output + + +def prepare_pippy( + model, + split_points: Optional[Union[str, list[str]]] = "auto", + no_split_module_classes: Optional[list[str]] = None, + example_args: Optional[tuple[Any]] = (), + example_kwargs: Optional[dict[str, Any]] = None, + num_chunks: Optional[int] = None, + gather_output: Optional[bool] = False, +): + """ + Wraps `model` for pipeline parallel inference. + + Args: + model (`torch.nn.Module`): + A model we want to split for pipeline-parallel inference + split_points (`str` or `List[str]`, defaults to 'auto'): + How to generate the split points and chunk the model across each GPU. 'auto' will find the best balanced + split given any model. Should be a list of layer names in the model to split by otherwise. + no_split_module_classes (`List[str]`): + A list of class names for layers we don't want to be split. + example_args (tuple of model inputs): + The expected inputs for the model that uses order-based inputs for a *single process*. Recommended to use + this method if possible. + example_kwargs (dict of model inputs) + The expected inputs for the model that uses dictionary-based inputs for a *single process*. This is a + *highly* limiting structure that requires the same keys be present at *all* inference calls. Not + recommended unless the prior condition is true for all cases. + num_chunks (`int`, defaults to the number of available GPUs): + The number of different stages the Pipeline will have. By default it will assign one chunk per GPU, but + this can be tuned and played with. In general one should have num_chunks >= num_gpus. + gather_output (`bool`, defaults to `False`): + If `True`, the output from the last GPU (which holds the true outputs) is sent across to all GPUs. + """ + if not is_pippy_available(): + raise ImportError("Using `torch.distributed.pipelining` requires PyTorch 2.4.0 or later.") + state = PartialState() + example_args = send_to_device(example_args, "cpu") + example_kwargs = send_to_device(example_kwargs, "cpu") + if num_chunks is None: + num_chunks = state.num_processes + if split_points == "auto": + device_map = generate_device_map(model, num_chunks, no_split_module_classes=no_split_module_classes) + split_points = [] + for i in range(1, num_chunks): + split_points.append(next(k for k, v in device_map.items() if v == i)) + model.hf_split_points = split_points + stage = build_pipeline(model, split_points, example_args, example_kwargs, num_chunks) + model._original_forward = model.forward + model._original_call = model.__call__ + model.pippy_stage = stage + model.hf_split_points = split_points + + def forward(*args, **kwargs): + return pippy_forward(stage.step, num_chunks, gather_output, *args, **kwargs) + + # To act like a decorator so that it can be popped when doing `extract_model_from_parallel` + # Note: creates an infinite recursion loop with `generate` + model_forward = MethodType(forward, model) + forward.__wrapped__ = model_forward + model.forward = forward + return model diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/launchers.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/launchers.py new file mode 100644 index 0000000000000000000000000000000000000000..d811c1622e8f3fc4d7535902af54274a49b5b03d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/launchers.py @@ -0,0 +1,307 @@ +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +import sys +import tempfile + +import torch + +from .state import AcceleratorState, PartialState +from .utils import ( + PrecisionType, + PrepareForLaunch, + are_libraries_initialized, + check_cuda_p2p_ib_support, + get_current_device_type, + get_gpu_info, + is_mps_available, + is_torch_version, + patch_environment, +) +from .utils.constants import ELASTIC_LOG_LINE_PREFIX_TEMPLATE_PYTORCH_VERSION + + +def test_launch(): + "Verify a `PartialState` can be initialized." + _ = PartialState() + + +def notebook_launcher( + function, + args=(), + num_processes=None, + mixed_precision="no", + use_port="29500", + master_addr="127.0.0.1", + node_rank=0, + num_nodes=1, + rdzv_backend="static", + rdzv_endpoint="", + rdzv_conf=None, + rdzv_id="none", + max_restarts=0, + monitor_interval=0.1, + log_line_prefix_template=None, +): + """ + Launches a training function, using several processes or multiple nodes if it's possible in the current environment + (TPU with multiple cores for instance). + + + + To use this function absolutely zero calls to a device must be made in the notebook session before calling. If any + have been made, you will need to restart the notebook and make sure no cells use any device capability. + + Setting `ACCELERATE_DEBUG_MODE="1"` in your environment will run a test before truly launching to ensure that none + of those calls have been made. + + + + Args: + function (`Callable`): + The training function to execute. If it accepts arguments, the first argument should be the index of the + process run. + args (`Tuple`): + Tuple of arguments to pass to the function (it will receive `*args`). + num_processes (`int`, *optional*): + The number of processes to use for training. Will default to 8 in Colab/Kaggle if a TPU is available, to + the number of devices available otherwise. + mixed_precision (`str`, *optional*, defaults to `"no"`): + If `fp16` or `bf16`, will use mixed precision training on multi-device. + use_port (`str`, *optional*, defaults to `"29500"`): + The port to use to communicate between processes when launching a multi-device training. + master_addr (`str`, *optional*, defaults to `"127.0.0.1"`): + The address to use for communication between processes. + node_rank (`int`, *optional*, defaults to 0): + The rank of the current node. + num_nodes (`int`, *optional*, defaults to 1): + The number of nodes to use for training. + rdzv_backend (`str`, *optional*, defaults to `"static"`): + The rendezvous method to use, such as 'static' (the default) or 'c10d' + rdzv_endpoint (`str`, *optional*, defaults to `""`): + The endpoint of the rdzv sync. storage. + rdzv_conf (`Dict`, *optional*, defaults to `None`): + Additional rendezvous configuration. + rdzv_id (`str`, *optional*, defaults to `"none"`): + The unique run id of the job. + max_restarts (`int`, *optional*, defaults to 0): + The maximum amount of restarts that elastic agent will conduct on workers before failure. + monitor_interval (`float`, *optional*, defaults to 0.1): + The interval in seconds that is used by the elastic_agent as a period of monitoring workers. + log_line_prefix_template (`str`, *optional*, defaults to `None`): + The prefix template for elastic launch logging. Available from PyTorch 2.2.0. + + Example: + + ```python + # Assume this is defined in a Jupyter Notebook on an instance with two devices + from accelerate import notebook_launcher + + + def train(*args): + # Your training function here + ... + + + notebook_launcher(train, args=(arg1, arg2), num_processes=2, mixed_precision="fp16") + ``` + """ + # Are we in a google colab or a Kaggle Kernel? + in_colab = False + in_kaggle = False + if any(key.startswith("KAGGLE") for key in os.environ.keys()): + in_kaggle = True + elif "IPython" in sys.modules: + in_colab = "google.colab" in str(sys.modules["IPython"].get_ipython()) + + try: + mixed_precision = PrecisionType(mixed_precision.lower()) + except ValueError: + raise ValueError( + f"Unknown mixed_precision mode: {args.mixed_precision.lower()}. Choose between {PrecisionType.list()}." + ) + + if (in_colab or in_kaggle) and ( + (os.environ.get("TPU_NAME", None) is not None) or (os.environ.get("PJRT_DEVICE", "") == "TPU") + ): + # TPU launch + import torch_xla.distributed.xla_multiprocessing as xmp + + if len(AcceleratorState._shared_state) > 0: + raise ValueError( + "To train on TPU in Colab or Kaggle Kernel, the `Accelerator` should only be initialized inside " + "your training function. Restart your notebook and make sure no cells initializes an " + "`Accelerator`." + ) + + launcher = PrepareForLaunch(function, distributed_type="XLA") + print("Launching a training on TPU cores.") + xmp.spawn(launcher, args=args, start_method="fork") + elif in_colab and get_gpu_info()[1] < 2: + # No need for a distributed launch otherwise as it's either CPU or one GPU. + if torch.cuda.is_available(): + print("Launching training on one GPU.") + else: + print("Launching training on one CPU.") + function(*args) + else: + if num_processes is None: + raise ValueError( + "You have to specify the number of devices you would like to use, add `num_processes=...` to your call." + ) + if node_rank >= num_nodes: + raise ValueError("The node_rank must be less than the number of nodes.") + if num_processes > 1: + # Multi-device launch + from torch.distributed.launcher.api import LaunchConfig, elastic_launch + from torch.multiprocessing import start_processes + from torch.multiprocessing.spawn import ProcessRaisedException + + if len(AcceleratorState._shared_state) > 0: + raise ValueError( + "To launch a multi-device training from your notebook, the `Accelerator` should only be initialized " + "inside your training function. Restart your notebook and make sure no cells initializes an " + "`Accelerator`." + ) + # Check for specific libraries known to initialize device that users constantly use + problematic_imports = are_libraries_initialized("bitsandbytes") + if len(problematic_imports) > 0: + err = ( + "Could not start distributed process. Libraries known to initialize device upon import have been " + "imported already. Please keep these imports inside your training function to try and help with this:" + ) + for lib_name in problematic_imports: + err += f"\n\t* `{lib_name}`" + raise RuntimeError(err) + + patched_env = dict( + nproc=num_processes, + node_rank=node_rank, + world_size=num_nodes * num_processes, + master_addr=master_addr, + master_port=use_port, + mixed_precision=mixed_precision, + ) + + # Check for CUDA P2P and IB issues + if not check_cuda_p2p_ib_support(): + patched_env["nccl_p2p_disable"] = "1" + patched_env["nccl_ib_disable"] = "1" + + # torch.distributed will expect a few environment variable to be here. We set the ones common to each + # process here (the other ones will be set be the launcher). + with patch_environment(**patched_env): + # First dummy launch + # Determine device type without initializing any device (which would break fork) + device_type, distributed_type = get_current_device_type() + if os.environ.get("ACCELERATE_DEBUG_MODE", "false").lower() == "true": + launcher = PrepareForLaunch(test_launch, distributed_type=distributed_type) + try: + start_processes(launcher, args=(), nprocs=num_processes, start_method="fork") + except ProcessRaisedException as e: + err = "An issue was found when verifying a stable environment for the notebook launcher." + if f"Cannot re-initialize {device_type.upper()} in forked subprocess" in e.args[0]: + raise RuntimeError( + f"{err}" + "This likely stems from an outside import causing issues once the `notebook_launcher()` is called. " + "Please review your imports and test them when running the `notebook_launcher()` to identify " + f"which one is problematic and causing {device_type.upper()} to be initialized." + ) from e + else: + raise RuntimeError(f"{err} The following error was raised: {e}") from e + # Now the actual launch + launcher = PrepareForLaunch(function, distributed_type=distributed_type) + print(f"Launching training on {num_processes} {device_type.upper()}s.") + try: + if rdzv_conf is None: + rdzv_conf = {} + if rdzv_backend == "static": + rdzv_conf["rank"] = node_rank + if not rdzv_endpoint: + rdzv_endpoint = f"{master_addr}:{use_port}" + launch_config_kwargs = dict( + min_nodes=num_nodes, + max_nodes=num_nodes, + nproc_per_node=num_processes, + run_id=rdzv_id, + rdzv_endpoint=rdzv_endpoint, + rdzv_backend=rdzv_backend, + rdzv_configs=rdzv_conf, + max_restarts=max_restarts, + monitor_interval=monitor_interval, + start_method="fork", + ) + if is_torch_version(">=", ELASTIC_LOG_LINE_PREFIX_TEMPLATE_PYTORCH_VERSION): + launch_config_kwargs["log_line_prefix_template"] = log_line_prefix_template + elastic_launch(config=LaunchConfig(**launch_config_kwargs), entrypoint=function)(*args) + except ProcessRaisedException as e: + if f"Cannot re-initialize {device_type.upper()} in forked subprocess" in e.args[0]: + raise RuntimeError( + f"{device_type.upper()} has been initialized before the `notebook_launcher` could create a forked subprocess. " + "This likely stems from an outside import causing issues once the `notebook_launcher()` is called. " + "Please review your imports and test them when running the `notebook_launcher()` to identify " + f"which one is problematic and causing {device_type.upper()} to be initialized." + ) from e + else: + raise RuntimeError(f"An issue was found when launching the training: {e}") from e + + else: + # No need for a distributed launch otherwise as it's either CPU, GPU, XPU or MPS. + if is_mps_available(): + os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1" + print("Launching training on MPS.") + elif torch.cuda.is_available(): + print("Launching training on one GPU.") + elif torch.xpu.is_available(): + print("Launching training on one XPU.") + else: + print("Launching training on CPU.") + function(*args) + + +def debug_launcher(function, args=(), num_processes=2): + """ + Launches a training function using several processes on CPU for debugging purposes. + + + + This function is provided for internal testing and debugging, but it's not intended for real trainings. It will + only use the CPU. + + + + Args: + function (`Callable`): + The training function to execute. + args (`Tuple`): + Tuple of arguments to pass to the function (it will receive `*args`). + num_processes (`int`, *optional*, defaults to 2): + The number of processes to use for training. + """ + from torch.multiprocessing import start_processes + + with tempfile.NamedTemporaryFile() as tmp_file: + # torch.distributed will expect a few environment variable to be here. We set the ones common to each + # process here (the other ones will be set be the launcher). + with patch_environment( + world_size=num_processes, + master_addr="127.0.0.1", + master_port="29500", + accelerate_mixed_precision="no", + accelerate_debug_rdv_file=tmp_file.name, + accelerate_use_cpu="yes", + ): + launcher = PrepareForLaunch(function, debug=True) + start_processes(launcher, args=args, nprocs=num_processes, start_method="fork") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/local_sgd.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/local_sgd.py new file mode 100644 index 0000000000000000000000000000000000000000..5913d2d03df3c67ccf3e9ef84e75e06dc694b1fa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/local_sgd.py @@ -0,0 +1,106 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import torch + +from accelerate import Accelerator, DistributedType + + +class LocalSGD: + """ + A helper class to support local SGD on top of Accelerator. It simply runs a given number of updates independently + on each device, and averages model weights every K synchronization step. + + It should be used only in the multi-GPU (or multi-CPU) setup without extensions such as DeepSpeed. In particular, + this is a simple implementation that cannot support scenarios such as model parallelism. + + + Although we are not aware of the true origins of this simple approach, the idea of local SGD is quite old and goes + back to at least: + + Zhang, J., De Sa, C., Mitliagkas, I., & Ré, C. (2016). [Parallel SGD: When does averaging help?. arXiv preprint + arXiv:1606.07365.](https://huggingface.co/papers/1606.07365) + + We credit the term Local SGD to the following paper (but there might be earlier references we are not aware of). + + Stich, Sebastian Urban. ["Local SGD Converges Fast and Communicates Little." ICLR 2019-International Conference on + Learning Representations. No. CONF. 2019.](https://huggingface.co/papers/1805.09767) + + """ + + def __enter__(self): + if self.enabled: + self.model_sync_obj = self.model.no_sync() + self.model_sync_obj.__enter__() + + return self + + def __exit__(self, type, value, tb): + if self.enabled: + # Average all models on exit + self._sync_and_avg_model_params() + self.model_sync_obj.__exit__(type, value, tb) + + def __init__(self, accelerator: Accelerator, model: torch.nn.Module, local_sgd_steps: int, enabled: bool = True): + """ + Constructor. + + Args: + model (`torch.nn.Module): + The model whose parameters we need to average. + accelerator (`Accelerator`): + Accelerator object. + local_sgd_steps (`int`): + A number of local SGD steps (before model parameters are synchronized). + enabled (`bool): + Local SGD is disabled if this parameter set to `False`. + """ + if accelerator.distributed_type not in [ + DistributedType.NO, + DistributedType.MULTI_CPU, + DistributedType.MULTI_GPU, + DistributedType.MULTI_XPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_HPU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_NPU, + ]: + raise NotImplementedError("LocalSGD is supported only for CPUs and GPUs (no DeepSpeed or MegatronLM)") + self.enabled = enabled and accelerator.distributed_type != DistributedType.NO + self.num_steps = 0 + if self.enabled: + self.accelerator = accelerator + self.model = model + self.local_sgd_steps = local_sgd_steps + + def step(self): + """ + This function makes a "step" and synchronizes model parameters if necessary. + """ + self.num_steps += 1 + if not self.enabled: + return + + if self.num_steps % self.local_sgd_steps == 0: + self._sync_and_avg_model_params() + + def _sync_and_avg_model_params(self): + """ + Synchronize + Average model parameters across all GPUs + """ + + self.accelerator.wait_for_everyone() + with self.accelerator.autocast(): + for param in self.model.parameters(): + param.data = self.accelerator.reduce(param.data, reduction="mean") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/logging.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/logging.py new file mode 100644 index 0000000000000000000000000000000000000000..172445c305b2d469c26997df35a97c1c22fe25ed --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/logging.py @@ -0,0 +1,126 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import functools +import logging +import os +from typing import Optional + +from .state import PartialState + + +class MultiProcessAdapter(logging.LoggerAdapter): + """ + An adapter to assist with logging in multiprocess. + + `log` takes in an additional `main_process_only` kwarg, which dictates whether it should be called on all processes + or only the main executed one. Default is `main_process_only=True`. + + Does not require an `Accelerator` object to be created first. + """ + + @staticmethod + def _should_log(main_process_only): + "Check if log should be performed" + state = PartialState() + return not main_process_only or (main_process_only and state.is_main_process) + + def log(self, level, msg, *args, **kwargs): + """ + Delegates logger call after checking if we should log. + + Accepts a new kwarg of `main_process_only`, which will dictate whether it will be logged across all processes + or only the main executed one. Default is `True` if not passed + + Also accepts "in_order", which if `True` makes the processes log one by one, in order. This is much easier to + read, but comes at the cost of sometimes needing to wait for the other processes. Default is `False` to not + break with the previous behavior. + + `in_order` is ignored if `main_process_only` is passed. + """ + if PartialState._shared_state == {}: + raise RuntimeError( + "You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility." + ) + main_process_only = kwargs.pop("main_process_only", True) + in_order = kwargs.pop("in_order", False) + # set `stacklevel` to exclude ourself in `Logger.findCaller()` while respecting user's choice + kwargs.setdefault("stacklevel", 2) + + if self.isEnabledFor(level): + if self._should_log(main_process_only): + msg, kwargs = self.process(msg, kwargs) + self.logger.log(level, msg, *args, **kwargs) + + elif in_order: + state = PartialState() + for i in range(state.num_processes): + if i == state.process_index: + msg, kwargs = self.process(msg, kwargs) + self.logger.log(level, msg, *args, **kwargs) + state.wait_for_everyone() + + @functools.lru_cache(None) + def warning_once(self, *args, **kwargs): + """ + This method is identical to `logger.warning()`, but will emit the warning with the same message only once + + Note: The cache is for the function arguments, so 2 different callers using the same arguments will hit the + cache. The assumption here is that all warning messages are unique across the code. If they aren't then need to + switch to another type of cache that includes the caller frame information in the hashing function. + """ + self.warning(*args, **kwargs) + + +def get_logger(name: str, log_level: Optional[str] = None): + """ + Returns a `logging.Logger` for `name` that can handle multiprocessing. + + If a log should be called on all processes, pass `main_process_only=False` If a log should be called on all + processes and in order, also pass `in_order=True` + + Args: + name (`str`): + The name for the logger, such as `__file__` + log_level (`str`, *optional*): + The log level to use. If not passed, will default to the `LOG_LEVEL` environment variable, or `INFO` if not + + Example: + + ```python + >>> from accelerate.logging import get_logger + >>> from accelerate import Accelerator + + >>> logger = get_logger(__name__) + + >>> accelerator = Accelerator() + >>> logger.info("My log", main_process_only=False) + >>> logger.debug("My log", main_process_only=True) + + >>> logger = get_logger(__name__, log_level="DEBUG") + >>> logger.info("My log") + >>> logger.debug("My second log") + + >>> array = ["a", "b", "c", "d"] + >>> letter_at_rank = array[accelerator.process_index] + >>> logger.info(letter_at_rank, in_order=True) + ``` + """ + if log_level is None: + log_level = os.environ.get("ACCELERATE_LOG_LEVEL", None) + logger = logging.getLogger(name) + if log_level is not None: + logger.setLevel(log_level.upper()) + logger.root.setLevel(log_level.upper()) + return MultiProcessAdapter(logger, {}) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/memory_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/memory_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..fa2e2c8b9d7d0064c3e5e282737a7ad6919bde29 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/memory_utils.py @@ -0,0 +1,22 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import warnings + + +warnings.warn( + "memory_utils has been reorganized to utils.memory. Import `find_executable_batchsize` from the main `__init__`: " + "`from accelerate import find_executable_batch_size` to avoid this warning.", + FutureWarning, +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/optimizer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/optimizer.py new file mode 100644 index 0000000000000000000000000000000000000000..c1f8faa15436fb5d1d02ae4d691a4fcac44cd236 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/optimizer.py @@ -0,0 +1,213 @@ +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import inspect + +import torch + +from .state import AcceleratorState, GradientState +from .utils import DistributedType, honor_type, is_lomo_available, is_torch_xla_available + + +if is_torch_xla_available(): + import torch_xla.core.xla_model as xm + import torch_xla.runtime as xr + + +def move_to_device(state, device): + if isinstance(state, (list, tuple)): + return honor_type(state, (move_to_device(t, device) for t in state)) + elif isinstance(state, dict): + return type(state)({k: move_to_device(v, device) for k, v in state.items()}) + elif isinstance(state, torch.Tensor): + return state.to(device) + return state + + +class AcceleratedOptimizer(torch.optim.Optimizer): + """ + Internal wrapper around a torch optimizer. + + Conditionally will perform `step` and `zero_grad` if gradients should be synchronized when performing gradient + accumulation. + + Args: + optimizer (`torch.optim.optimizer.Optimizer`): + The optimizer to wrap. + device_placement (`bool`, *optional*, defaults to `True`): + Whether or not the optimizer should handle device placement. If so, it will place the state dictionary of + `optimizer` on the right device. + scaler (`torch.amp.GradScaler` or `torch.cuda.amp.GradScaler`, *optional*): + The scaler to use in the step function if training with mixed precision. + """ + + def __init__(self, optimizer, device_placement=True, scaler=None): + self.optimizer = optimizer + self.scaler = scaler + self.accelerator_state = AcceleratorState() + self.gradient_state = GradientState() + self.device_placement = device_placement + self._is_overflow = False + + if self.scaler is not None: + self._accelerate_step_called = False + self._optimizer_original_step_method = self.optimizer.step + self._optimizer_patched_step_method = patch_optimizer_step(self, self.optimizer.step) + + # Handle device placement + if device_placement: + state_dict = self.optimizer.state_dict() + if self.accelerator_state.distributed_type == DistributedType.XLA: + xm.send_cpu_data_to_device(state_dict, self.accelerator_state.device) + else: + state_dict = move_to_device(state_dict, self.accelerator_state.device) + self.optimizer.load_state_dict(state_dict) + + @property + def state(self): + return self.optimizer.state + + @state.setter + def state(self, state): + self.optimizer.state = state + + @property + def param_groups(self): + return self.optimizer.param_groups + + @param_groups.setter + def param_groups(self, param_groups): + self.optimizer.param_groups = param_groups + + @property + def defaults(self): + return self.optimizer.defaults + + @defaults.setter + def defaults(self, defaults): + self.optimizer.defaults = defaults + + def add_param_group(self, param_group): + self.optimizer.add_param_group(param_group) + + def load_state_dict(self, state_dict): + if self.accelerator_state.distributed_type == DistributedType.XLA and self.device_placement: + xm.send_cpu_data_to_device(state_dict, self.accelerator_state.device) + self.optimizer.load_state_dict(state_dict) + + def state_dict(self): + return self.optimizer.state_dict() + + def zero_grad(self, set_to_none=None): + if self.gradient_state.sync_gradients: + accept_arg = "set_to_none" in inspect.signature(self.optimizer.zero_grad).parameters + if accept_arg: + if set_to_none is None: + set_to_none = True + self.optimizer.zero_grad(set_to_none=set_to_none) + else: + if set_to_none is not None: + raise ValueError("`set_to_none` for Optimizer.zero_grad` is not supported by this optimizer.") + self.optimizer.zero_grad() + + def train(self): + """ + Sets the optimizer to "train" mode. Useful for optimizers like `schedule_free` + """ + if hasattr(self.optimizer, "train") and callable(self.optimizer.train): + self.optimizer.train() + elif ( + hasattr(self.optimizer, "optimizer") + and hasattr(self.optimizer.optimizer, "train") + and callable(self.optimizer.optimizer.train) + ): + # the deepspeed optimizer further wraps the optimizer + self.optimizer.optimizer.train() + + def eval(self): + """ + Sets the optimizer to "eval" mode. Useful for optimizers like `schedule_free` + """ + if hasattr(self.optimizer, "eval") and callable(self.optimizer.eval): + self.optimizer.eval() + + def step(self, closure=None): + if is_lomo_available(): + from lomo_optim import AdaLomo, Lomo + + if ( + not self.gradient_state.is_xla_gradients_synced + and self.accelerator_state.distributed_type == DistributedType.XLA + ): + gradients = xm._fetch_gradients(self.optimizer) + xm.all_reduce("sum", gradients, scale=1.0 / xr.world_size()) + self.gradient_state.is_xla_gradients_synced = True + + if is_lomo_available(): + # `step` should be a no-op for LOMO optimizers. + if isinstance(self.optimizer, (Lomo, AdaLomo)): + return + + if self.gradient_state.sync_gradients: + if self.scaler is not None: + self.optimizer.step = self._optimizer_patched_step_method + + self.scaler.step(self.optimizer, closure) + self.scaler.update() + + if not self._accelerate_step_called: + # If the optimizer step was skipped, gradient overflow was detected. + self._is_overflow = True + else: + self._is_overflow = False + # Reset the step method to the original one + self.optimizer.step = self._optimizer_original_step_method + # Reset the indicator + self._accelerate_step_called = False + else: + self.optimizer.step(closure) + if self.accelerator_state.distributed_type == DistributedType.XLA: + self.gradient_state.is_xla_gradients_synced = False + + def _switch_parameters(self, parameters_map): + for param_group in self.optimizer.param_groups: + param_group["params"] = [parameters_map.get(p, p) for p in param_group["params"]] + + @property + def step_was_skipped(self): + """Whether or not the optimizer step was skipped.""" + return self._is_overflow + + def __getstate__(self): + _ignored_keys = [ + "_accelerate_step_called", + "_optimizer_original_step_method", + "_optimizer_patched_step_method", + ] + return {k: v for k, v in self.__dict__.items() if k not in _ignored_keys} + + def __setstate__(self, state): + self.__dict__.update(state) + if self.scaler is not None: + self._accelerate_step_called = False + self._optimizer_original_step_method = self.optimizer.step + self._optimizer_patched_step_method = patch_optimizer_step(self, self.optimizer.step) + + +def patch_optimizer_step(accelerated_optimizer: AcceleratedOptimizer, method): + def patched_step(*args, **kwargs): + accelerated_optimizer._accelerate_step_called = True + return method(*args, **kwargs) + + return patched_step diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/parallelism_config.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/parallelism_config.py new file mode 100644 index 0000000000000000000000000000000000000000..0869d0aca232407f1891e2d8109eb33026c9c9d2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/parallelism_config.py @@ -0,0 +1,378 @@ +# +# Copyright 2025 The HuggingFace Inc. team. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +import warnings +from dataclasses import dataclass +from typing import TYPE_CHECKING, Literal, Optional, Union + +from accelerate.utils.dataclasses import ( + DeepSpeedSequenceParallelConfig, + DistributedType, + TorchContextParallelConfig, + TorchTensorParallelConfig, +) +from accelerate.utils.versions import is_torch_version + + +if TYPE_CHECKING: + from accelerate import Accelerator + + +@dataclass +class ParallelismConfig: + """ + A dataclass to configure parallelisms applied to the model. Inspired by torchtitan's `ParallelDims` + https://github.com/pytorch/torchtitan/blob/main/torchtitan/distributed/parallel_dims.py + + Args: + dp_replicate_size (`int`, defaults to `1`): + The size of the data parallel group. If `dp_replicate_size` is set to 1, the data parallel replication + group will not be used. + dp_shard_size (`int`, defaults to `1`): + The size of the model shard group. If `dp_replicate_size > 1` and `tp_size > 1`, `dp_shard_size` must also + be greater than 1, as composing DDP + TP is currently not supported. + tp_size (`int`, defaults to `1`): + The size of the tensor parallel group. If `tp_size` is set to `1`, the tensor parallel group will not be + used. + tp_handler (`~utils.TorchTensorParallelConfig`, defaults to `None`): + The handler for the tensor parallel group. + cp_size (`int`, defaults to `1`): + The size of the context parallel group. Currently not supported, but reserved for future use and enabled + for downstream libraries. + cp_backend (`str`, defaults to `torch`): + Which CP backend to use: `torch` (FSDP2) + sp_size (`int`, defaults to `1`): + The size of the sequence parallel group. + sp_backend (`str`, defaults to `deepspeed`): + Which SP backend to use:`deepspeed` (ALST/Ulysses) + + You may obtain different distributed data parallel paradigms by configuring `dp_replicate_size` and `dp_shard_size` + together: + - `dp_replicate_size == 1` and `dp_shard_size > 1`, we obtain Fully Sharded Data Parallel (FSDP). + - `dp_replicate_size > 1` and `dp_shard_size > 1`, we obtain Hybrid Sharded Data Parallel (HSDP). + - `dp_replicate_size > 1` and `dp_shard_size == 1` is an invalid configuration, to use pure DP, use + `DistributedDataParallelKwargs` instead. + + """ + + dp_replicate_size: Optional[int] = None + dp_shard_size: Optional[int] = None + tp_size: Optional[int] = None + cp_size: Optional[int] = None + cp_backend: Literal["torch"] = None + sp_size: Optional[int] = None + sp_backend: Literal["deepspeed"] = None + + # we use Union because we might support other x parallel plugins (i.e. deepspeed, etc) + tp_handler: Union[None, TorchTensorParallelConfig] = None + cp_handler: Union[None, TorchContextParallelConfig] = None + sp_handler: Union[None, DeepSpeedSequenceParallelConfig] = None + + device_mesh = None + + def __repr__(self): + return ( + "ParallelismConfig(\n " + f"\tdp_replicate_size={self.dp_replicate_size},\n" + f"\tdp_shard_size={self.dp_shard_size},\n" + f"\ttp_size={self.tp_size},\n" + f"\tcp_size={self.cp_size},\n" + f"\tcp_backend={self.cp_backend},\n" + f"\tsp_size={self.sp_size},\n" + f"\tsp_backend={self.sp_backend},\n" + f"\ttotal_size={self.total_size}\n" + f"\ttp_handler={self.tp_handler},\n" + f"\tcp_handler={self.cp_handler})\n" + ) + + def to_json(self): + import copy + + _non_serializable_fields = ["device_mesh"] + + copy.deepcopy( + { + k: copy.deepcopy(v.__dict__) if hasattr(v, "__dict__") else v + for k, v in self.__dict__.items() + if k not in _non_serializable_fields + } + ) + + @property + def dp_dim_names(self): + """Names of enabled dimensions across which data parallelism is applied.""" + dims = [] + if self.dp_replicate_enabled: + dims += ["dp_replicate"] + if self.dp_shard_enabled: + dims += ["dp_shard"] + return dims + + @property + def non_dp_dim_names(self): + """Names of enabled dimensions which will receive the same batch (non-data parallel dimensions).""" + dims = [] + if self.tp_enabled: + dims += ["tp"] + if self.cp_enabled: + dims += ["cp"] + if self.sp_enabled: + dims += ["sp"] + return dims + + @property + def dp_shard_cp_dim_names(self): + """Names of enabled dimensions which will be flattened into a joint mesh across which is model sharded in FSDP.""" + dims = [] + if self.dp_shard_enabled: + dims += ["dp_shard"] + if self.cp_enabled: + dims += ["cp"] + return dims + + @property + def dp_cp_dim_names(self): + """Names of enabled dimensions across which loss should be averaged""" + dims = [] + if self.dp_replicate_enabled: + dims += ["dp_replicate"] + if self.dp_shard_enabled: + dims += ["dp_shard"] + if self.cp_enabled: + dims += ["cp"] + return dims + + @property + def fsdp_dim_names(self): + """Names of enabled dimensions across which FSDP is applied, including data parallel replication.""" + dims = [] + if self.dp_replicate_enabled: + dims += ["dp_replicate"] + dims += ["dp_shard_cp"] + return dims + + @property + def total_size(self): + """The total size of the parallelism configuration, which is the product of all sizes.""" + return self.dp_replicate_size * self.dp_shard_size * self.tp_size * self.cp_size * self.sp_size + + @property + def non_data_parallel_size(self): + """The size of the non-data parallel dimensions, which is the product of tensor and context parallel sizes.""" + return self.tp_size * self.cp_size * self.sp_size + + @property + def data_parallel_size(self): + """The size of the data parallel dimensions, which is the product of data parallel replication and""" + return self.dp_replicate_size * self.dp_shard_size + + @property + def dp_replicate_enabled(self): + """True if data parallel replication is enabled, i.e. `dp_replicate_size > 1`.""" + return self.dp_replicate_size > 1 + + @property + def dp_shard_enabled(self): + """True if data parallel sharding is enabled, i.e. `dp_shard_size > 1`.""" + return self.dp_shard_size > 1 + + @property + def tp_enabled(self): + """True if tensor parallelism is enabled, i.e. `tp_size > 1`.""" + return self.tp_size > 1 + + @property + def cp_enabled(self): + """True if context parallelism is enabled, i.e. `cp_size > 1`.""" + return self.cp_size > 1 + + @property + def sp_enabled(self): + """True if context parallelism is enabled, i.e. `sp_size > 1`.""" + return self.sp_size > 1 + + @property + def active_mesh_dims(self): + """Names of all active mesh dimensions.""" + return self.dp_dim_names + self.non_dp_dim_names + + def build_device_mesh(self, device_type: str): + """Builds a device mesh for the given device type based on the parallelism configuration. + This method will also create required joint meshes (e.g. `dp_shard_cp`, `dp_cp`, `dp`). + + Args: + device_type (`str`): The type of device for which to build the mesh, e + """ + if is_torch_version(">=", "2.2.0"): + from torch.distributed.device_mesh import init_device_mesh + else: + raise RuntimeError("Building a device_mesh requires to have torch>=2.2.0") + + mesh = self._get_mesh() + if len(mesh) == 0: + return None + mesh_dim_names, mesh_shape = mesh + device_mesh = init_device_mesh( + device_type, + mesh_shape, + mesh_dim_names=mesh_dim_names, + ) + if self.dp_dim_names: + device_mesh[self.dp_dim_names]._flatten("dp") + if self.dp_shard_cp_dim_names: + device_mesh[self.dp_shard_cp_dim_names]._flatten("dp_shard_cp") + if self.dp_cp_dim_names: + device_mesh[self.dp_cp_dim_names]._flatten("dp_cp") + + return device_mesh + + def get_device_mesh(self, device_type: Optional[str] = None): + if self.device_mesh is None: + if device_type is not None: + self.device_mesh = self.build_device_mesh(device_type) + else: + raise ("You need to pass a device_type e.g cuda to build the device mesh") + else: + if device_type is not None: + if self.device_mesh.device_type != device_type: + raise ValueError( + f"The device_mesh is already created with device type {self.device_mesh.device_type}. However, you are trying to get a device mesh with device_type {device_type}. Please check if you correctly initialized your device_mesh" + ) + return self.device_mesh + + def _get_mesh(self) -> tuple[tuple[int, ...], tuple[str, ...]]: + """Generate mesh shape and dimension names for torch.distributed.init_device_mesh().""" + + # Build mesh dimensions dictionary + mesh_dims = {parallelism: self._sizes[parallelism] for parallelism in self.active_mesh_dims} + + # Apply canonical ordering + mesh_order = ["dp_replicate", "dp_shard", "cp", "sp", "tp"] + sorted_items = sorted( + mesh_dims.items(), + key=lambda x: (mesh_order.index(x[0])), + ) + return tuple(zip(*sorted_items)) + + def __post_init__(self): + # Basic size validation + if self.dp_replicate_size is None: + self.dp_replicate_size = int(os.environ.get("PARALLELISM_CONFIG_DP_REPLICATE_SIZE", "1")) + if self.dp_shard_size is None: + self.dp_shard_size = int(os.environ.get("PARALLELISM_CONFIG_DP_SHARD_SIZE", "1")) + if self.tp_size is None: + self.tp_size = int(os.environ.get("PARALLELISM_CONFIG_TP_SIZE", "1")) + if self.cp_size is None: + self.cp_size = int(os.environ.get("PARALLELISM_CONFIG_CP_SIZE", "1")) + if self.cp_backend is None: + self.cp_backend = os.environ.get("PARALLELISM_CONFIG_CP_BACKEND", "torch") + if self.sp_size is None: + self.sp_size = int(os.environ.get("PARALLELISM_CONFIG_SP_SIZE", "1")) + if self.sp_backend is None: + self.sp_backend = os.environ.get("PARALLELISM_CONFIG_SP_BACKEND", "deepspeed") + + if self.tp_size > 1: + if self.tp_handler is None: + self.tp_handler = TorchTensorParallelConfig() + + if self.cp_size > 1: + if self.cp_handler is None: + self.cp_handler = TorchContextParallelConfig() + else: + cp_backends_config_map = dict( + torch=TorchContextParallelConfig, + ) + if not isinstance(self.cp_handler, cp_backends_config_map[self.cp_backend]): + raise ValueError( + f"ParallelismConfig's cp_backend={self.cp_backend} requires {cp_backends_config_map[self.cp_backend]}, but cp_handler was set to {type(self.cp_handler)}" + ) + + if self.sp_size > 1: + if self.sp_handler is None: + self.sp_handler = DeepSpeedSequenceParallelConfig() + if self.dp_replicate_size < 1: + raise ValueError(f"dp_replicate_size must be at least 1, but got {self.dp_replicate_size}") + if self.dp_shard_size < 1: + raise ValueError(f"dp_shard_size must be at least 1, but got {self.dp_shard_size}") + if self.tp_size < 1: + raise ValueError(f"tp_size must be at least 1, but got {self.tp_size}") + if self.cp_size < 1: + raise ValueError(f"cp_size must be at least 1, but got {self.cp_size}") + valid_cp_backends = ["torch"] + if self.cp_backend not in valid_cp_backends: + raise ValueError(f"cp_backend must be one of {valid_cp_backends}, but got {self.cp_backend}") + + if self.sp_size < 1: + raise ValueError(f"sp_size must be at least 1, but got {self.sp_size}") + valid_sp_backends = ["deepspeed"] + if self.sp_backend not in valid_sp_backends: + raise ValueError(f"sp_backend must be one of {valid_sp_backends}, but got {self.sp_backend}") + + if (self.tp_size > 1 or self.cp_size > 1) and self.dp_replicate_size > 1 and self.dp_shard_size == 1: + raise ValueError( + "Tensor/Context parallelism (tp/cp_size > 1) cannot be used with pure data parallelism (dp_replicate_size > 1 and dp_shard_size == 1). " + "Please set dp_shard_size > 1 and dp_replicate_size == 1 to compose FSDP + TP/CP for 2D parallel, " + "or set dp_replicate_size == 1 and dp_shard_size > 1 to compose HSDP + TP/CP for 3D parallel." + ) + self._sizes = { + "dp_replicate": self.dp_replicate_size, + "dp_shard": self.dp_shard_size, + "tp": self.tp_size, + "cp": self.cp_size, + "sp": self.sp_size, + } + + def _set_size(self, parallelism: str, size: int): + assert parallelism in self._sizes.keys(), f"Parallelism must be one of {self._sizes.keys()}" + self._sizes[parallelism] = size + setattr(self, f"{parallelism}_size", size) + + def _validate_accelerator(self, accelerator: "Accelerator"): + _warnings = set() + if not accelerator.multi_device and self.total_size == 1: + # No distributed setup, valid parallelism config + return + + # We need this to ensure DDP works + if self.total_size == 1: + self._set_size("dp_replicate", accelerator.num_processes) + + if self.total_size != accelerator.num_processes: + raise ValueError( + f"ParallelismConfig total_size ({self.total_size}) does not match " + f"num_processes ({accelerator.num_processes}). Please adjust dp_replicate_size/ " + f"dp_shard_size/tp_size/cp_size/sp_size." + ) + + if self.total_size > 1 and not ( + accelerator.is_fsdp2 + or accelerator.multi_device + or accelerator.distributed_type == DistributedType.DEEPSPEED + ): + raise ValueError( + f"ParallelismConfig is only compatible DistributedType.FSDP (version 2) or DistributedType.Multi{{Device}} or DistributedType.DEEPSPEED, but got {accelerator.distributed_type}." + ) + + for parallelism, size in self._sizes.items(): + if size == 1 and getattr(self, f"{parallelism}_handler", None) is not None: + _warnings.add( + f"ParallelismConfig.{parallelism}_handler is set, but {parallelism}_size is set to 1. This handler will be ignored." + ) + + if _warnings and accelerator.is_main_process: + warnings.warn( + "ParallelismConfig has the following warnings:\n" + "\n".join(_warnings), + UserWarning, + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/scheduler.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/scheduler.py new file mode 100644 index 0000000000000000000000000000000000000000..1fa8a13f238afd7b908ee8e8cb8e0620f48d4ff8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/scheduler.py @@ -0,0 +1,98 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# We ignore warnings about stepping the scheduler since we step it ourselves during gradient accumulation + +import warnings + +from .state import AcceleratorState, GradientState + + +warnings.filterwarnings("ignore", category=UserWarning, module="torch.optim.lr_scheduler") + + +class AcceleratedScheduler: + """ + A wrapper around a learning rate scheduler that will only step when the optimizer(s) have a training step. Useful + to avoid making a scheduler step too fast when gradients went overflow and there was no training step (in mixed + precision training) + + When performing gradient accumulation scheduler lengths should not be changed accordingly, Accelerate will always + step the scheduler to account for it. + + Args: + scheduler (`torch.optim.lr_scheduler._LRScheduler`): + The scheduler to wrap. + optimizers (one or a list of `torch.optim.Optimizer`): + The optimizers used. + step_with_optimizer (`bool`, *optional*, defaults to `True`): + Whether or not the scheduler should be stepped at each optimizer step. + split_batches (`bool`, *optional*, defaults to `False`): + Whether or not the dataloaders split one batch across the different processes (so batch size is the same + regardless of the number of processes) or create batches on each process (so batch size is the original + batch size multiplied by the number of processes). + """ + + def __init__(self, scheduler, optimizers, step_with_optimizer: bool = True, split_batches: bool = False): + self.scheduler = scheduler + self.optimizers = optimizers if isinstance(optimizers, (list, tuple)) else [optimizers] + self.split_batches = split_batches + self.step_with_optimizer = step_with_optimizer + self.gradient_state = GradientState() + + def step(self, *args, **kwargs): + if not self.step_with_optimizer: + # No link between scheduler and optimizer -> just step + self.scheduler.step(*args, **kwargs) + return + + # Otherwise, first make sure the optimizer was stepped. + if not self.gradient_state.sync_gradients: + if self.gradient_state.adjust_scheduler: + self.scheduler._step_count += 1 + return + + for opt in self.optimizers: + if opt.step_was_skipped: + return + if self.split_batches: + # Split batches -> the training dataloader batch size is not changed so one step per training step + self.scheduler.step(*args, **kwargs) + else: + # Otherwise the training dataloader batch size was multiplied by `num_processes`, so we need to do + # num_processes steps per training step + num_processes = AcceleratorState().num_processes + for _ in range(num_processes): + # Special case when using OneCycle and `drop_last` was not used + if hasattr(self.scheduler, "total_steps"): + if self.scheduler._step_count <= self.scheduler.total_steps: + self.scheduler.step(*args, **kwargs) + else: + self.scheduler.step(*args, **kwargs) + + # Passthroughs + def get_last_lr(self): + return self.scheduler.get_last_lr() + + def state_dict(self): + return self.scheduler.state_dict() + + def load_state_dict(self, state_dict): + self.scheduler.load_state_dict(state_dict) + + def get_lr(self): + return self.scheduler.get_lr() + + def print_lr(self, *args, **kwargs): + return self.scheduler.print_lr(*args, **kwargs) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/state.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/state.py new file mode 100644 index 0000000000000000000000000000000000000000..4da3c91f3c29275eb109d5116b7dd07bd88a29f6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/state.py @@ -0,0 +1,1373 @@ +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import annotations + +import logging +import os +import threading +import warnings +import weakref +from contextlib import contextmanager +from functools import partial +from typing import Any, Callable + +import torch + +from .utils import ( + DistributedType, + DynamoBackend, + GradientAccumulationPlugin, + check_cuda_fp8_capability, + check_cuda_p2p_ib_support, + deepspeed_required, + get_cpu_distributed_information, + get_int_from_env, + is_ccl_available, + is_datasets_available, + is_deepspeed_available, + is_fp8_available, + is_habana_gaudi1, + is_hpu_available, + is_ipex_available, + is_mlu_available, + is_mps_available, + is_musa_available, + is_npu_available, + is_sdaa_available, + is_torch_xla_available, + is_xccl_available, + is_xpu_available, + parse_choice_from_env, + parse_flag_from_env, + set_numa_affinity, +) +from .utils.dataclasses import SageMakerDistributedType + + +if is_torch_xla_available(): + import torch_xla.core.xla_model as xm + import torch_xla.runtime as xr + +if is_mlu_available(check_device=False): + import torch_mlu # noqa: F401 + +if is_sdaa_available(check_device=False): + import torch_sdaa # noqa: F401 + +if is_musa_available(check_device=False): + import torch_musa # noqa: F401 + +if is_npu_available(check_device=False): + import torch_npu # noqa: F401 + + +logger = logging.getLogger(__name__) + + +def is_initialized() -> bool: + """ + Checks if the `AcceleratorState` has been initialized from `Accelerator`. Same as `AcceleratorState.initialized`, + but works as a module method. + """ + return AcceleratorState._shared_state != {} + + +# Lambda function that does nothing +def do_nothing(*args, **kwargs): + return None + + +class ThreadLocalSharedDict(threading.local): + """ + Descriptor that holds a dict shared between instances of a class in the same thread. + + Note: Descriptors have slightly different semantics than just a dict field on its own. + `PartialState(...)._shared_state` and `PartialState._shared_state` (instance vs class) give the same value: the + underlying _storage dict. Likewise, `PartialState(...)._shared_state = {...}` overrides the _storage dict inside + the descriptor as you would expect. However, `PartialState._shared_state = {}` actually replaces the descriptor + object with a dict instead Thus, you should modify the _storage dict in-place (e.g. `_shared_state.clear()`). + + See Python documentation for an explanation of descriptors: https://docs.python.org/3/howto/descriptor.html + + This is required for using PyTorch/XLA with PJRT in multithreaded mode (required for TPU v2 and v3). + + See https://github.com/pytorch/xla/blob/r2.0/docs/pjrt.md#multithreading-on-tpu-v2v3 + """ + + def __init__(self, thread_local: bool = False): + self._storage = {} + + def __get__(self, obj, objtype=None): + return self._storage + + def __set__(self, obj, value): + self._storage = value + + +# Prefer global shared dictionary, except when using TPU. +SharedDict = dict if not is_torch_xla_available() else ThreadLocalSharedDict + + +# Inspired by Alex Martelli's 'Borg'. +class PartialState: + """ + Singleton class that has information about the current training environment and functions to help with process + control. Designed to be used when only process control and device execution states are needed. Does *not* need to + be initialized from `Accelerator`. + + Args: + cpu (`bool`, *optional*): + Whether or not to force the script to execute on CPU. Will ignore any accelerators available if set to + `True` and force the execution on the CPU. + kwargs (additional keyword arguments, *optional*): + Additional keyword arguments to pass to the relevant `init_process_group` function. Valid `kwargs` can be + found in [`utils.InitProcessGroupKwargs`]. See the example section for detailed usage. + + **Available attributes:** + + - **device** (`torch.device`) -- The device to use. + - **distributed_type** ([`~accelerate.state.DistributedType`]) -- The type of distributed environment currently + in use. + - **local_process_index** (`int`) -- The index of the current process on the current server. + - **mixed_precision** (`str`) -- Whether or not the current script will use mixed precision, and if so the type + of mixed precision being performed. (Choose from 'no','fp16','bf16 or 'fp8'). + - **num_processes** (`int`) -- The number of processes currently launched in parallel. + - **process_index** (`int`) -- The index of the current process. + - **is_last_process** (`bool`) -- Whether or not the current process is the last one. + - **is_main_process** (`bool`) -- Whether or not the current process is the main one. + - **is_local_main_process** (`bool`) -- Whether or not the current process is the main one on the local node. + - **debug** (`bool`) -- Whether or not the current script is being run in debug mode. + + Example: + ```python + from accelerate.utils import InitProcessGroupKwargs + + # To include `InitProcessGroupKwargs`, init then call `.to_kwargs()` + kwargs = InitProcessGroupKwargs(...).to_kwargs() + state = PartialState(**kwargs) + ``` + """ + + _shared_state = SharedDict() + _known_attrs = [ + "_cpu", + "_mixed_precision", + "_shared_state", + "backend", + "debug", + "device", + "distributed_type", + "fork_launched", + "local_process_index", + "num_processes", + "process_index", + ] + + def __init__(self, cpu: bool = False, **kwargs): + self.__dict__ = self._shared_state + if not self.initialized: + self._cpu = cpu + self.backend = None + env_device = os.environ.get("ACCELERATE_TORCH_DEVICE", None) + self.device = torch.device(env_device) if env_device is not None else None + self.debug = parse_flag_from_env("ACCELERATE_DEBUG_MODE") + use_sagemaker_dp = kwargs.pop("_use_sagemaker_dp", None) + dist_information = None + if use_sagemaker_dp is None: + use_sagemaker_dp = ( + os.environ.get("ACCELERATE_USE_SAGEMAKER", "false").lower() == "true" + and os.environ.get("ACCELERATE_SAGEMAKER_DISTRIBUTED_TYPE") != SageMakerDistributedType.NO + ) + + # Sets up self.backend + imports + original_backend = kwargs.pop("backend", None) + backend, distributed_type = self._prepare_backend(cpu, use_sagemaker_dp, original_backend) + if original_backend is not None and backend != original_backend: + raise ValueError(f"Your assigned backend {original_backend} is not available, please use {backend}") + self.backend = backend + self.distributed_type = distributed_type + use_deepspeed = False + if not cpu and self.backend != "xla": + if int(os.environ.get("LOCAL_RANK", -1)) != -1: + # Deal with spawning deepspeed + if os.environ.get("ACCELERATE_USE_DEEPSPEED", "false").lower() == "true": + if not is_deepspeed_available(): + raise ImportError( + "DeepSpeed is not available => install it using `pip3 install deepspeed` or build it from source" + ) + from deepspeed import comm as dist + + if not dist.is_initialized(): + if self.backend == "tccl": + local_rank = os.environ.get("LOCAL_RANK", -1) + torch.sdaa.set_device(f"sdaa:{local_rank}") + dist.init_distributed(dist_backend=self.backend, auto_mpi_discovery=False, **kwargs) + # We need to flag to `use_deepspeed` to be True to override `distributed_type` later + use_deepspeed = True + # Deal with all other backends but XPU and CPU, that gets handled special later + elif ( + self.distributed_type not in (DistributedType.MULTI_XPU, DistributedType.MULTI_CPU) + and not torch.distributed.is_initialized() + ): + if self.backend == "tccl": + local_rank = os.environ.get("LOCAL_RANK", -1) + torch.sdaa.set_device(f"sdaa:{local_rank}") + if ( + self.backend == "nccl" + and os.environ.get("ACCELERATE_USE_FSDP", "false").lower() == "true" + and ( + os.environ.get("FSDP_OFFLOAD_PARAMS", "false").lower() == "true" + or os.environ.get("FSDP_STATE_DICT_TYPE", "SHARDED_STATE_DICT") == "FULL_STATE_DICT" + ) + ): + self.backend = "cuda:nccl,cpu:gloo" + torch.distributed.init_process_group(backend=self.backend, **kwargs) + + # XPU and CPU require special env configs to be set + if self.distributed_type in (DistributedType.MULTI_XPU, DistributedType.MULTI_CPU): + dist_information = get_cpu_distributed_information() + os.environ["RANK"] = str(dist_information.rank) + os.environ["WORLD_SIZE"] = str(dist_information.world_size) + os.environ["LOCAL_RANK"] = str(dist_information.local_rank) + os.environ["LOCAL_WORLD_SIZE"] = str(dist_information.local_world_size) + if not os.environ.get("MASTER_PORT", None): + os.environ["MASTER_PORT"] = "29500" + if ( + not os.environ.get("MASTER_ADDR", None) + and dist_information.local_world_size != dist_information.world_size + and self.backend != "mpi" + ): + raise ValueError( + "Tried to launch on distributed with multinode, but `MASTER_ADDR` env was not set, " + "please try exporting rank 0's hostname as `MASTER_ADDR`" + ) + kwargs["rank"] = dist_information.rank + kwargs["world_size"] = dist_information.world_size + + if ( + self.distributed_type == DistributedType.MULTI_CPU + and get_int_from_env(["OMP_NUM_THREADS"], 0) == 0 + ): + import psutil + + num_cpu_threads_per_process = int( + psutil.cpu_count(logical=False) / dist_information.local_world_size + ) + if num_cpu_threads_per_process == 0: + num_cpu_threads_per_process = 1 + torch.set_num_threads(num_cpu_threads_per_process) + warnings.warn( + f"OMP_NUM_THREADS/MKL_NUM_THREADS unset, we set it at {num_cpu_threads_per_process} to improve oob" + " performance." + ) + + if not torch.distributed.is_initialized(): + torch.distributed.init_process_group(backend=self.backend, **kwargs) + + # No backend == no distributed training + if self.backend is None: + self.distributed_type = DistributedType.NO + self.num_processes = 1 + self.process_index = 0 + self.local_process_index = 0 + elif self.backend == "xla": + # XLA needs device setting first for `set_replication` + self.set_device() + xm.set_replication(self.device, xm.get_xla_supported_devices()) + self.num_processes = xr.world_size() + self.process_index = xr.global_ordinal() + if is_torch_xla_available(check_is_tpu=True): + self.local_process_index = xm.get_local_ordinal() + else: + self.local_process_index = int(os.environ.get("LOCAL_RANK", -1)) + else: + self.num_processes = torch.distributed.get_world_size() + self.process_index = torch.distributed.get_rank() + self.local_process_index = ( + int(os.environ.get("LOCAL_RANK", -1)) if dist_information is None else dist_information.local_rank + ) + self.set_device() + # Now we can change to deepseed + if use_deepspeed: + self.distributed_type = DistributedType.DEEPSPEED + + # Set CPU affinity if enabled + if parse_flag_from_env("ACCELERATE_CPU_AFFINITY", False): + set_numa_affinity(self.local_process_index) + + # Check for old RTX 4000's that can't use P2P or IB and are on old drivers + if self.device.type == "cuda" and not check_cuda_p2p_ib_support(): + if "NCCL_P2P_DISABLE" not in os.environ or "NCCL_IB_DISABLE" not in os.environ: + raise NotImplementedError( + "Using RTX 4000 series doesn't support faster communication broadband via P2P or IB. " + 'Please set `NCCL_P2P_DISABLE="1"` and `NCCL_IB_DISABLE="1" or use `accelerate launch` which ' + "will do this automatically." + ) + + # Important: This should be the *only* code outside of `self.initialized!` + self.fork_launched = parse_flag_from_env("FORK_LAUNCHED", 0) + + def __repr__(self) -> str: + return ( + f"Distributed environment: {self.distributed_type}{(' Backend: ' + self.backend) if self.backend else ''}\n" + f"Num processes: {self.num_processes}\n" + f"Process index: {self.process_index}\n" + f"Local process index: {self.local_process_index}\n" + f"Device: {self.device}\n" + ) + + @staticmethod + def _reset_state(): + "Resets `_shared_state`, is used internally and should not be called" + PartialState._shared_state.clear() + + @property + def initialized(self) -> bool: + "Returns whether the `PartialState` has been initialized" + return self._shared_state != {} + + @property + def use_distributed(self): + """ + Whether the Accelerator is configured for distributed training + """ + return self.distributed_type != DistributedType.NO and self.num_processes > 1 + + @property + def is_last_process(self) -> bool: + "Returns whether the current process is the last one" + return self.process_index == self.num_processes - 1 + + @property + def is_main_process(self) -> bool: + "Returns whether the current process is the main process" + return ( + self.process_index == 0 if self.distributed_type != DistributedType.MEGATRON_LM else self.is_last_process + ) + + @property + def is_local_main_process(self) -> bool: + "Returns whether the current process is the main process on the local node" + return ( + self.local_process_index == 0 + if self.distributed_type != DistributedType.MEGATRON_LM + else self.is_last_process + ) + + def wait_for_everyone(self): + """ + Will stop the execution of the current process until every other process has reached that point (so this does + nothing when the script is only run in one process). Useful to do before saving a model. + + Example: + + ```python + >>> # Assuming two GPU processes + >>> import time + >>> from accelerate.state import PartialState + + >>> state = PartialState() + >>> if state.is_main_process: + ... time.sleep(2) + >>> else: + ... print("I'm waiting for the main process to finish its sleep...") + >>> state.wait_for_everyone() + >>> # Should print on every process at the same time + >>> print("Everyone is here") + ``` + """ + if self.distributed_type in ( + DistributedType.MULTI_GPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_NPU, + DistributedType.MULTI_XPU, + DistributedType.MULTI_CPU, + DistributedType.MULTI_HPU, + DistributedType.DEEPSPEED, + DistributedType.FSDP, + ): + torch.distributed.barrier(device_ids=[self.local_process_index]) + elif self.distributed_type == DistributedType.XLA: + xm.rendezvous("accelerate.utils.wait_for_everyone") + + def _goes_first(self, is_main: bool): + if not is_main: + self.wait_for_everyone() + + yield + + if is_main: + self.wait_for_everyone() + + @contextmanager + def split_between_processes(self, inputs: list | tuple | dict | torch.Tensor, apply_padding: bool = False): + """ + Splits `input` between `self.num_processes` quickly and can be then used on that process. Useful when doing + distributed inference, such as with different prompts. + + Note that when using a `dict`, all keys need to have the same number of elements. + + Args: + inputs (`list`, `tuple`, `torch.Tensor`, `dict` of `list`/`tuple`/`torch.Tensor`, or `datasets.Dataset`): + The input to split between processes. + apply_padding (`bool`, `optional`, defaults to `False`): + Whether to apply padding by repeating the last element of the input so that all processes have the same + number of elements. Useful when trying to perform actions such as `gather()` on the outputs or passing + in less inputs than there are processes. If so, just remember to drop the padded elements afterwards. + + + Example: + + ```python + # Assume there are two processes + from accelerate import PartialState + + state = PartialState() + with state.split_between_processes(["A", "B", "C"]) as inputs: + print(inputs) + # Process 0 + ["A", "B"] + # Process 1 + ["C"] + + with state.split_between_processes(["A", "B", "C"], apply_padding=True) as inputs: + print(inputs) + # Process 0 + ["A", "B"] + # Process 1 + ["C", "C"] + ``` + """ + if self.num_processes == 1: + yield inputs + return + length = len(inputs) + # Nested dictionary of any types + if isinstance(inputs, dict): + length = len(inputs[list(inputs.keys())[0]]) + if not all(len(v) == length for v in inputs.values()): + raise ValueError("All values in the dictionary must have the same length") + num_samples_per_process, num_extras = divmod(length, self.num_processes) + start_index = self.process_index * num_samples_per_process + min(self.process_index, num_extras) + end_index = start_index + num_samples_per_process + (1 if self.process_index < num_extras else 0) + + def _split_values(inputs, start_index, end_index): + if isinstance(inputs, (list, tuple, torch.Tensor)): + if start_index >= len(inputs): + result = inputs[-1:] + else: + result = inputs[start_index:end_index] + if apply_padding: + if isinstance(result, torch.Tensor): + from accelerate.utils import pad_across_processes, send_to_device + + # The tensor needs to be on the device before we can pad it + tensorized_result = send_to_device(result, self.device) + result = pad_across_processes(tensorized_result, pad_index=inputs[-1]) + else: + result += [result[-1]] * (num_samples_per_process + (1 if num_extras > 0 else 0) - len(result)) + return result + elif isinstance(inputs, dict): + for key in inputs.keys(): + inputs[key] = _split_values(inputs[key], start_index, end_index) + return inputs + else: + if is_datasets_available(): + from datasets import Dataset + + if isinstance(inputs, Dataset): + if start_index >= len(inputs): + start_index = len(inputs) - 1 + if end_index > len(inputs): + end_index = len(inputs) + result_idcs = list(range(start_index, end_index)) + if apply_padding: + result_idcs += [end_index - 1] * ( + num_samples_per_process + (1 if num_extras > 0 else 0) - len(result_idcs) + ) + return inputs.select(result_idcs) + return inputs + + yield _split_values(inputs, start_index, end_index) + + @contextmanager + def main_process_first(self): + """ + Lets the main process go first inside a with block. + + The other processes will enter the with block after the main process exits. + + Example: + + ```python + >>> from accelerate import Accelerator + + >>> accelerator = Accelerator() + >>> with accelerator.main_process_first(): + ... # This will be printed first by process 0 then in a seemingly + ... # random order by the other processes. + ... print(f"This will be printed by process {accelerator.process_index}") + ``` + """ + yield from self._goes_first(self.is_main_process) + + @contextmanager + def local_main_process_first(self): + """ + Lets the local main process go inside a with block. + + The other processes will enter the with block after the main process exits. + + Example: + + ```python + >>> from accelerate.state import PartialState + + >>> state = PartialState() + >>> with state.local_main_process_first(): + ... # This will be printed first by local process 0 then in a seemingly + ... # random order by the other processes. + ... print(f"This will be printed by process {state.local_process_index}") + ``` + """ + yield from self._goes_first(self.is_local_main_process) + + def on_main_process(self, function: Callable[..., Any] | None = None): + """ + Decorator that only runs the decorated function on the main process. + + Args: + function (`Callable`): The function to decorate. + + Example: + + ```python + >>> from accelerate.state import PartialState + + >>> state = PartialState() + + + >>> @state.on_main_process + ... def print_something(): + ... print("This will be printed by process 0 only.") + + + >>> print_something() + "This will be printed by process 0 only" + ``` + """ + if not self.initialized: + raise ValueError("The `PartialState` or `Accelerator` must be initialized before calling this function.") + if self.is_main_process or not self.use_distributed: + return function + return do_nothing + + def on_local_main_process(self, function: Callable[..., Any] | None = None): + """ + Decorator that only runs the decorated function on the local main process. + + Args: + function (`Callable`): The function to decorate. + + Example: + ```python + # Assume we have 2 servers with 4 processes each. + from accelerate.state import PartialState + + state = PartialState() + + + @state.on_local_main_process + def print_something(): + print("This will be printed by process 0 only on each server.") + + + print_something() + # On server 1: + "This will be printed by process 0 only" + # On server 2: + "This will be printed by process 0 only" + ``` + """ + if self.is_local_main_process or not self.use_distributed: + return function + return do_nothing + + def on_last_process(self, function: Callable[..., Any]): + """ + Decorator that only runs the decorated function on the last process. + + Args: + function (`Callable`): The function to decorate. + + Example: + ```python + # Assume we have 4 processes. + from accelerate.state import PartialState + + state = PartialState() + + + @state.on_last_process + def print_something(): + print(f"Printed on process {state.process_index}") + + + print_something() + "Printed on process 3" + ``` + """ + if self.is_last_process or not self.use_distributed: + return function + return do_nothing + + def on_process(self, function: Callable[..., Any] | None = None, process_index: int | None = None): + """ + Decorator that only runs the decorated function on the process with the given index. + + Args: + function (`Callable`, `optional`): + The function to decorate. + process_index (`int`, `optional`): + The index of the process on which to run the function. + + Example: + ```python + # Assume we have 4 processes. + from accelerate.state import PartialState + + state = PartialState() + + + @state.on_process(process_index=2) + def print_something(): + print(f"Printed on process {state.process_index}") + + + print_something() + "Printed on process 2" + ``` + """ + if function is None: + return partial(self.on_process, process_index=process_index) + if (self.process_index == process_index) or (not self.use_distributed): + return function + return do_nothing + + def on_local_process(self, function: Callable[..., Any] | None = None, local_process_index: int | None = None): + """ + Decorator that only runs the decorated function on the process with the given index on the current node. + + Args: + function (`Callable`, *optional*): + The function to decorate. + local_process_index (`int`, *optional*): + The index of the local process on which to run the function. + + Example: + ```python + # Assume we have 2 servers with 4 processes each. + from accelerate import Accelerator + + accelerator = Accelerator() + + + @accelerator.on_local_process(local_process_index=2) + def print_something(): + print(f"Printed on process {accelerator.local_process_index}") + + + print_something() + # On server 1: + "Printed on process 2" + # On server 2: + "Printed on process 2" + ``` + """ + if function is None: + return partial(self.on_local_process, local_process_index=local_process_index) + if (self.local_process_index == local_process_index) or (not self.use_distributed): + return function + return do_nothing + + def print(self, *args, **kwargs): + if self.is_local_main_process: + print(*args, **kwargs) + + @property + def default_device(self) -> torch.device: + """ + Returns the default device which is: + - MPS if `torch.backends.mps.is_available()` and `torch.backends.mps.is_built()` both return True. + - CUDA if `torch.cuda.is_available()` + - MLU if `is_mlu_available()` + - SDAA if `is_sdaa_available()` + - MUSA if `is_musa_available()` + - NPU if `is_npu_available()` + - HPU if `is_hpu_available()` + - CPU otherwise + """ + if is_mps_available(): + os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1" + return torch.device("mps") + elif is_mlu_available(): + return torch.device("mlu") + elif is_sdaa_available(): + return torch.device("sdaa") + elif is_musa_available(): + return torch.device("musa") + # NPU should be checked before CUDA when using `transfer_to_npu` + # See issue #3020: https://github.com/huggingface/accelerate/issues/3020 + elif is_npu_available(): + return torch.device("npu") + elif is_hpu_available(): + return torch.device("hpu") + elif torch.cuda.is_available(): + return torch.device("cuda") + elif is_xpu_available(): + return torch.device("xpu") + else: + return torch.device("cpu") + + def _prepare_backend( + self, cpu: bool = False, sagemaker_dp=False, backend: str | None = None + ) -> tuple[str, DistributedType]: + "Prepares any imports needed before initializing the distributed backend and sets `self.backend` properly" + distributed_type = None + if sagemaker_dp: + import smdistributed.dataparallel.torch.torch_smddp # noqa + + backend = "smddp" + distributed_type = DistributedType.MULTI_GPU + elif is_torch_xla_available(): + backend = "xla" + distributed_type = DistributedType.XLA + + elif int(os.environ.get("LOCAL_RANK", -1)) != -1 and not cpu: + if is_mlu_available(): + backend = "cncl" + distributed_type = DistributedType.MULTI_MLU + if is_sdaa_available(): + backend = "tccl" + distributed_type = DistributedType.MULTI_SDAA + elif is_musa_available(): + backend = "mccl" + distributed_type = DistributedType.MULTI_MUSA + # NPU should be checked before CUDA when using `transfer_to_npu` + # See issue #3020: https://github.com/huggingface/accelerate/issues/3020 + elif is_npu_available(): + backend = "hccl" + distributed_type = DistributedType.MULTI_NPU + elif is_hpu_available(init_hccl=True): + if backend is None: + backend = "hccl" + distributed_type = DistributedType.MULTI_HPU + elif torch.cuda.is_available(): + if backend is None: + backend = "nccl" + distributed_type = DistributedType.MULTI_GPU + elif is_xpu_available() and is_xccl_available(): + if backend is None: + backend = "xccl" + distributed_type = DistributedType.MULTI_XPU + + if distributed_type is None and ( + int(os.environ.get("LOCAL_RANK", -1)) != -1 + or get_int_from_env(["PMI_SIZE", "OMPI_COMM_WORLD_SIZE", "MV2_COMM_WORLD_SIZE", "WORLD_SIZE"], 1) > 1 + ): + if not cpu and is_xpu_available(): + distributed_type = DistributedType.MULTI_XPU + else: + distributed_type = DistributedType.MULTI_CPU + + if ( + backend in (None, "ccl") + and is_ccl_available() + and (get_int_from_env(["CCL_WORKER_COUNT"], 0) > 0 or distributed_type == DistributedType.MULTI_XPU) + ): + import oneccl_bindings_for_pytorch # noqa: F401 + + backend = "ccl" + elif backend in (None, "mpi") and torch.distributed.is_mpi_available(): + backend = "mpi" + else: + backend = "gloo" + if distributed_type is None: + distributed_type = DistributedType.NO + + return backend, distributed_type + + def set_device(self): + """ + Sets the device in `self.device` to the current distributed environment. + """ + if self.device is not None: + return + if self.distributed_type == DistributedType.NO: + self.device = torch.device("cpu") if self._cpu else self.default_device + return + device = str(self.distributed_type).split(".")[-1].replace("MULTI_", "").lower() + if device not in ("cpu", "gpu", "mlu", "musa", "npu", "xpu", "xla", "hpu", "sdaa"): + raise ValueError( + f"Can't set device for {self.distributed_type} ({device}), verify we should be calling `_set_device()` for it!" + ) + if device == "xla": + self.device = xm.xla_device() + elif device == "hpu": + self.device = torch.device("hpu", torch.hpu.current_device()) + else: + if device == "gpu": + device = "cuda" + device_module = getattr(torch, device) + device_index = self.local_process_index % device_module.device_count() + self.device = torch.device(device, device_index) + device_module.set_device(self.device) + + def destroy_process_group(self, group=None): + """ + Destroys the process group. If one is not specified, the default process group is destroyed. + """ + if self.fork_launched and group is None: + return + # needed when using torch.distributed.init_process_group + if torch.distributed.is_initialized(): + torch.distributed.destroy_process_group(group) + + def __getattr__(self, name: str): + # By this point we know that no attributes of `self` contain `name`, + # so we just modify the error message + if name in self._known_attrs: + raise AttributeError( + f"`PartialState` object has no attribute `{name}`. " + "This happens if `PartialState._reset_state()` was called and " + "an `Accelerator` or `PartialState` was not reinitialized." + ) + # Raise a typical AttributeError + raise AttributeError(f"'PartialState' object has no attribute '{name}'") + + +class AcceleratorState: + """ + Singleton class that has information about the current training environment. + + **Available attributes:** + + - **device** (`torch.device`) -- The device to use. + - **distributed_type** ([`~accelerate.state.DistributedType`]) -- The type of distributed environment currently + in use. + - **parallelism_config** ([`~accelerate.utils.ParallelismConfig`]) -- The parallelism configuration for the + current training environment. This is used to configure the distributed training environment. + - **initialized** (`bool`) -- Whether or not the `AcceleratorState` has been initialized from `Accelerator`. + - **local_process_index** (`int`) -- The index of the current process on the current server. + - **mixed_precision** (`str`) -- Whether or not the current script will use mixed precision, and if so the type + of mixed precision being performed. (Choose from 'no','fp16','bf16 or 'fp8'). + - **num_processes** (`int`) -- The number of processes currently launched in parallel. + - **process_index** (`int`) -- The index of the current process. + - **is_last_process** (`bool`) -- Whether or not the current process is the last one. + - **is_main_process** (`bool`) -- Whether or not the current process is the main one. + - **is_local_main_process** (`bool`) -- Whether or not the current process is the main one on the local node. + - **debug** (`bool`) -- Whether or not the current script is being run in debug mode. + """ + + _shared_state = SharedDict() + _known_attrs = PartialState._known_attrs + [ + "deepspeed_plugin", + "use_ipex", + "fsdp_plugin", + "megatron_lm_plugin", + "dynamo_plugin", + ] + + def __init__( + self, + mixed_precision: str | None = None, + cpu: bool = False, + dynamo_plugin=None, + deepspeed_plugin=None, + fsdp_plugin=None, + torch_tp_plugin=None, + megatron_lm_plugin=None, + parallelism_config=None, + _from_accelerator: bool = False, + **kwargs, + ): + self.__dict__ = self._shared_state + if parse_flag_from_env("ACCELERATE_USE_CPU"): + cpu = True + if PartialState._shared_state == {}: + PartialState(cpu, **kwargs) + self.__dict__.update(PartialState._shared_state) + self._check_initialized(mixed_precision, cpu) + if not self.initialized: + self.deepspeed_plugins = None + self.use_ipex = None + self.torch_tp_plugin = torch_tp_plugin + self.parallelism_config = parallelism_config + self.device_mesh = None + mixed_precision = ( + parse_choice_from_env("ACCELERATE_MIXED_PRECISION", "no") + if mixed_precision is None + else mixed_precision.lower() + ) + if mixed_precision == "fp8": + # this is confusing, why is is_fp8_available only checks for library availability ? + if not is_fp8_available(): + raise ValueError( + "Using `fp8` precision requires `transformer_engine` or `MS-AMP` to be installed." + ) + elif torch.cuda.is_available() and not check_cuda_fp8_capability(): + logger.warning( + f"The current device has compute capability of {torch.cuda.get_device_capability()} which is " + "insufficient for FP8 mixed precision training (requires a GPU Hopper/Ada Lovelace " + "or higher, compute capability of 8.9 or higher). Will use FP16 instead." + ) + mixed_precision = "fp16" + elif is_habana_gaudi1(): + logger.warning( + "The current HPU device is Gaudi1 which does not support FP8 mixed precision training (requires " + "Gaudi2 or higher). Will use BF16 instead." + ) + mixed_precision = "bf16" + + self.dynamo_plugin = dynamo_plugin + if not _from_accelerator: + raise ValueError( + "Please make sure to properly initialize your accelerator via `accelerator = Accelerator()` " + "before using any functionality from the `accelerate` library." + ) + # deepspeed handles mixed_precision using deepspeed_config. But we need to set it to fp8 + # if we're using fp8. + if self.distributed_type == DistributedType.DEEPSPEED and mixed_precision != "fp8": + self._mixed_precision = "no" + else: + self._mixed_precision = mixed_precision + + if self.distributed_type == DistributedType.XLA and is_torch_xla_available(check_is_tpu=True): + if mixed_precision == "bf16": + if os.environ.get("ACCELERATE_DOWNCAST_BF16"): + os.environ["XLA_USE_BF16"] = str(0) + os.environ["XLA_DOWNCAST_BF16"] = str(1) + self.downcast_bfloat = True + else: + os.environ["XLA_USE_BF16"] = str(1) + os.environ["XLA_DOWNCAST_BF16"] = str(0) + self.downcast_bfloat = False + elif os.environ.get("ACCELERATE_USE_DEEPSPEED", "false").lower() == "true" and not cpu: + self.distributed_type = DistributedType.DEEPSPEED + if not isinstance(deepspeed_plugin, dict): + deepspeed_plugin.set_mixed_precision(mixed_precision) + deepspeed_plugin.select(_from_accelerator_state=True) + else: + for plugin in deepspeed_plugin.values(): + plugin.set_mixed_precision(mixed_precision) + # The first plugin passed in is always the active one + first_plugin = next(iter(deepspeed_plugin.values())) + first_plugin.select(_from_accelerator_state=True) + self.deepspeed_plugins = deepspeed_plugin + elif self.distributed_type in [ + DistributedType.MULTI_GPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_NPU, + DistributedType.MULTI_XPU, + DistributedType.MULTI_HPU, + ]: + # TODO: Siro - remove when axolotl fixes their side + if not os.environ.get("ACCELERATE_ALLOW_CP_STANDALONE", "false").lower() == "true": + if self.parallelism_config and self.parallelism_config.cp_enabled and fsdp_plugin is None: + raise ValueError( + "`cp_size > 1` specified in the `parallelism_config`, but no `fsdp_plugin` was provided. We need a `fsdp_plugin` to use context parallelism with `cp_backend=torch`, as we also shard the model across the device mesh to save more memory" + ) + if ( + self.parallelism_config is not None + and self.parallelism_config.cp_enabled + and fsdp_plugin.fsdp_version == 1 + ): + raise ValueError( + "Using `cp_size>1` requires FSDP2, but the provided `fsdp_plugin` is using FSDP1. " + ) + if (os.environ.get("ACCELERATE_USE_FSDP", "false").lower() == "true" or fsdp_plugin is not None) or ( + self.parallelism_config is not None and self.parallelism_config.cp_enabled + ): + self.distributed_type = DistributedType.FSDP + if self._mixed_precision != "no" and fsdp_plugin is not None: + fsdp_plugin.set_mixed_precision(self._mixed_precision) + self.fsdp_plugin = fsdp_plugin + if os.environ.get( + "ACCELERATE_USE_MEGATRON_LM", "false" + ).lower() == "true" and self.distributed_type not in [ + DistributedType.MULTI_XPU, + ]: + self.distributed_type = DistributedType.MEGATRON_LM + megatron_lm_plugin.set_mixed_precision(self._mixed_precision) + self.megatron_lm_plugin = megatron_lm_plugin + elif self.distributed_type in [DistributedType.MULTI_CPU, DistributedType.MULTI_XPU, DistributedType.NO]: + if is_ipex_available(): + # check if user disables it explicitly + self.use_ipex = parse_flag_from_env("ACCELERATE_USE_IPEX", default=True) + else: + self.use_ipex = False + if ( + self.dynamo_plugin.backend != DynamoBackend.NO + and self._mixed_precision == "no" + and self.device.type == "cuda" + ): + torch.backends.cuda.matmul.allow_tf32 = True + if ( + self.dynamo_plugin.backend != DynamoBackend.NO + and self._mixed_precision == "no" + and self.device.type == "musa" + ): + torch.backends.musa.matmul.allow_tf32 = True + PartialState._shared_state["distributed_type"] = self.distributed_type + + @property + def initialized(self) -> bool: + return self._shared_state != PartialState._shared_state + + def __repr__(self): + repr = PartialState().__repr__() + f"\nMixed precision type: {self.mixed_precision}\n" + if self.distributed_type == DistributedType.DEEPSPEED: + repr += f"ds_config: {self.deepspeed_plugin.deepspeed_config}\n" + return repr + + def _check_initialized(self, mixed_precision=None, cpu=None): + "Checks if a modification is trying to be made and the `AcceleratorState` has already been initialized" + if self.initialized: + err = "AcceleratorState has already been initialized and cannot be changed, restart your runtime completely and pass `{flag}` to `Accelerator()`." + if cpu and self.device.type != "cpu": + raise ValueError(err.format(flag="cpu=True")) + if ( + mixed_precision is not None + and mixed_precision != self._mixed_precision + and self.distributed_type != DistributedType.DEEPSPEED + ): + raise ValueError(err.format(flag=f"mixed_precision='{mixed_precision}'")) + + @property + def mixed_precision(self): + if self.distributed_type == DistributedType.DEEPSPEED and self._mixed_precision != "fp8": + config = self.deepspeed_plugin.deepspeed_config + if config.get("fp16", {}).get("enabled", False): + mixed_precision = "fp16" + elif config.get("bf16", {}).get("enabled", False): + mixed_precision = "bf16" + else: + mixed_precision = "no" + else: + mixed_precision = self._mixed_precision + return mixed_precision + + @staticmethod + def _reset_state(reset_partial_state: bool = False): + "Resets `_shared_state`, is used internally and should not be called" + AcceleratorState._shared_state.clear() + if reset_partial_state: + PartialState._reset_state() + + def destroy_process_group(self, group=None): + """ + Destroys the process group. If one is not specified, the default process group is destroyed. + + If `self.fork_launched` is `True` and `group` is `None`, nothing happens. + """ + PartialState().destroy_process_group(group) + + @property + def fork_launched(self): + return PartialState().fork_launched + + @property + def use_distributed(self): + """ + Whether the Accelerator is configured for distributed training + """ + return PartialState().use_distributed + + @property + def is_fsdp2(self) -> bool: + return self.distributed_type == DistributedType.FSDP and self.fsdp_plugin.fsdp_version == 2 + + @property + def is_last_process(self) -> bool: + "Returns whether the current process is the last one" + return PartialState().is_last_process + + @property + def is_main_process(self) -> bool: + "Returns whether the current process is the main process" + return PartialState().is_main_process + + @property + def is_local_main_process(self) -> bool: + "Returns whether the current process is the main process on the local node" + return PartialState().is_local_main_process + + def wait_for_everyone(self): + PartialState().wait_for_everyone() + + @contextmanager + def split_between_processes(self, inputs: list | tuple | dict | torch.Tensor, apply_padding: bool = False): + """ + Splits `input` between `self.num_processes` quickly and can be then used on that process. Useful when doing + distributed inference, such as with different prompts. + + Note that when using a `dict`, all keys need to have the same number of elements. + + Args: + inputs (`list`, `tuple`, `torch.Tensor`, or `dict` of `list`/`tuple`/`torch.Tensor`): + The input to split between processes. + apply_padding (`bool`, `optional`, defaults to `False`): + Whether to apply padding by repeating the last element of the input so that all processes have the same + number of elements. Useful when trying to perform actions such as `gather()` on the outputs or passing + in less inputs than there are processes. If so, just remember to drop the padded elements afterwards. + + + Example: + + ```python + # Assume there are two processes + from accelerate.state import AcceleratorState + + state = AcceleratorState() + with state.split_between_processes(["A", "B", "C"]) as inputs: + print(inputs) + # Process 0 + ["A", "B"] + # Process 1 + ["C"] + + with state.split_between_processes(["A", "B", "C"], apply_padding=True) as inputs: + print(inputs) + # Process 0 + ["A", "B"] + # Process 1 + ["C", "C"] + ``` + """ + with PartialState().split_between_processes(inputs, apply_padding=apply_padding) as inputs: + yield inputs + + @contextmanager + def main_process_first(self): + """ + Lets the main process go first inside a with block. + + The other processes will enter the with block after the main process exits. + """ + with PartialState().main_process_first(): + yield + + @contextmanager + def local_main_process_first(self): + """ + Lets the local main process go inside a with block. + + The other processes will enter the with block after the main process exits. + """ + with PartialState().local_main_process_first(): + yield + + @property + def deepspeed_plugin(self): + """ + Returns the currently active DeepSpeedPlugin. + + If not using deepspeed, returns `None`. + """ + # To maintain original behavior, return None if not using deepspeed. + if self.distributed_type != DistributedType.DEEPSPEED: + return None + from accelerate.utils.deepspeed import get_active_deepspeed_plugin + + return get_active_deepspeed_plugin(self) + + @deepspeed_required + def get_deepspeed_plugin(self, name: str): + """ + Returns the DeepSpeedPlugin with the given plugin_key. + """ + return self.deepspeed_plugins[name] + + @deepspeed_required + def select_deepspeed_plugin(self, name: str | None = None): + """ + Activates the DeepSpeedPlugin with the given `name`, and will disable all other plugins. + """ + for key, plugin in self.deepspeed_plugins.items(): + if key != name: + plugin._unselect() + self.deepspeed_plugins[name].select(_from_accelerator_state=True) + + def print(self, *args, **kwargs): + PartialState().print(*args, **kwargs) + + def __getattr__(self, name: str): + # By this point we know that no attributes of `self` contain `name`, + # so we just modify the error message + if name in self._known_attrs: + raise AttributeError( + f"`AcceleratorState` object has no attribute `{name}`. " + "This happens if `AcceleratorState._reset_state()` was called and " + "an `Accelerator` or `PartialState` was not reinitialized." + ) + # Raise a typical AttributeError + raise AttributeError(f"'AcceleratorState' object has no attribute '{name}'") + + +class GradientState: + """ + Singleton class that has information related to gradient synchronization for gradient accumulation + + **Available attributes:** + + - **end_of_dataloader** (`bool`) -- Whether we have reached the end the current dataloader + - **remainder** (`int`) -- The number of extra samples that were added from padding the dataloader + - **sync_gradients** (`bool`) -- Whether the gradients should be synced across all devices + - **active_dataloader** (`Optional[DataLoader]`) -- The dataloader that is currently being iterated over + - **dataloader_references** (`List[Optional[DataLoader]]`) -- A list of references to the dataloaders that are + being iterated over + - **num_steps** (`int`) -- The number of steps to accumulate over + - **adjust_scheduler** (`bool`) -- Whether the scheduler should be adjusted to account for the gradient + accumulation + - **sync_with_dataloader** (`bool`) -- Whether the gradients should be synced at the end of the dataloader + iteration and the number of total steps reset + - **is_xla_gradients_synced** (`bool`) -- Whether the XLA gradients have been synchronized. It is initialized + as false. Once gradients have been reduced before the optimizer step, this flag is set to true. Subsequently, + after each step, the flag is reset to false. FSDP will always synchronize the gradients, hence + is_xla_gradients_synced is always true. + """ + + _shared_state = SharedDict() + + def __init__(self, gradient_accumulation_plugin: GradientAccumulationPlugin | None = None): + self.__dict__ = self._shared_state + if not self.initialized: + self.sync_gradients = True + self._dataloader_references_ref = [None] + self.plugin_kwargs = ( + gradient_accumulation_plugin.to_kwargs() if gradient_accumulation_plugin is not None else {} + ) + self._is_xla_gradients_synced = False + + # Plugin args are different and can be updated + if gradient_accumulation_plugin is not None and self.plugin_kwargs != gradient_accumulation_plugin.to_kwargs(): + self.plugin_kwargs = gradient_accumulation_plugin.to_kwargs() + + @property + def num_steps(self) -> int: + "Returns the number of steps to accumulate over" + return self.plugin_kwargs.get("num_steps", 1) + + @property + def adjust_scheduler(self) -> bool: + "Returns whether the scheduler should be adjusted" + return self.plugin_kwargs.get("adjust_scheduler", False) + + @property + def sync_with_dataloader(self) -> bool: + "Returns whether the gradients should be synced at the end of the dataloader iteration and the number of total steps reset" + return self.plugin_kwargs.get("sync_with_dataloader", True) + + @property + def initialized(self) -> bool: + "Returns whether the `GradientState` has been initialized" + return GradientState._shared_state != {} + + @property + def end_of_dataloader(self) -> bool: + "Returns whether we have reached the end of the current dataloader" + if not self.in_dataloader: + return False + return self.active_dataloader.end_of_dataloader + + @property + def remainder(self) -> int: + "Returns the number of extra samples that were added from padding the dataloader" + if not self.in_dataloader: + return -1 + return self.active_dataloader.remainder + + def __repr__(self): + return ( + f"Sync Gradients: {self.sync_gradients}\n" + f"At end of current dataloader: {self.end_of_dataloader}\n" + f"Extra samples added: {self.remainder}\n" + f"Gradient accumulation plugin: {self.plugin_kwargs}\n" + ) + + @property + def is_xla_gradients_synced(self): + "Returns the value of is_xla_gradients_synced. FSDP will always synchronize the gradients, hence is_xla_gradients_synced is always true." + if parse_flag_from_env("ACCELERATE_USE_FSDP", default=False): + return True + return self._is_xla_gradients_synced + + @is_xla_gradients_synced.setter + def is_xla_gradients_synced(self, is_synced): + "Set the _is_xla_gradients_synced attribute." + self._is_xla_gradients_synced = is_synced + + def _set_sync_gradients(self, sync_gradients): + "Private function that sets whether gradients should be synchronized. Users should not have to call this." + self.sync_gradients = sync_gradients + # Allow grad-sync to automatically work on TPUs + if ( + self.sync_gradients + and is_torch_xla_available(check_is_tpu=True) + and PartialState().distributed_type == DistributedType.XLA + ): + xm.mark_step() + + def _add_dataloader(self, dataloader): + "Private function that adds a dataloader to `self.dataloader_references` and sets `in_dataloader` to `True`. Users should not have to call this." + # We explicitly use assignment to ensure that the property setter is triggered, which is required for garbage collection. + # Avoid using self.dataloader_references.append as it will not trigger the setter. + self.dataloader_references += [dataloader] + + def _remove_dataloader(self, dataloader): + "Private function that removes a dataloader from `self.dataloader_references` and sets `in_dataloader` to `False` if there are no more dataloaders. Users should not have to call this." + # We explicitly use assignment to ensure that the property setter is triggered. + self.dataloader_references = [ + dataloader_ref for dataloader_ref in self.dataloader_references if dataloader_ref != dataloader + ] + + @property + def active_dataloader(self): + return self.dataloader_references[-1] + + @property + def dataloader_references(self): + # We use a property getter and setter with weakrefs to avoid circular references that prevent garbage collection + return [reference() if reference is not None else reference for reference in self._dataloader_references_ref] + + @dataloader_references.setter + def dataloader_references(self, references): + self._dataloader_references_ref = [ + weakref.ref(dataloader) if dataloader is not None else dataloader for dataloader in references + ] + + @property + def in_dataloader(self) -> bool: + "Returns whether the current process is in a dataloader" + return self.active_dataloader is not None + + @staticmethod + def _reset_state(): + "Resets `_shared_state`, is used internally and should not be called" + GradientState._shared_state.clear() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..67031886219f56344b1173c792ac4d8d421746d3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/__init__.py @@ -0,0 +1,66 @@ +# Copyright 2020 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from .testing import ( + DEFAULT_LAUNCH_COMMAND, + are_the_same_tensors, + assert_exception, + capture_call_output, + device_count, + execute_subprocess_async, + get_launch_command, + get_torch_dist_unique_port, + memory_allocated_func, + path_in_accelerate_package, + pytest_xdist_worker_id, + require_bnb, + require_cpu, + require_cuda, + require_cuda_or_hpu, + require_cuda_or_xpu, + require_fp8, + require_fp16, + require_huggingface_suite, + require_mlu, + require_mps, + require_multi_device, + require_multi_gpu, + require_multi_gpu_or_xpu, + require_multi_xpu, + require_musa, + require_non_cpu, + require_non_hpu, + require_non_torch_xla, + require_non_xpu, + require_npu, + require_pippy, + require_sdaa, + require_single_device, + require_single_gpu, + require_single_xpu, + require_torch_min_version, + require_torchao, + require_torchvision, + require_tpu, + require_transformer_engine, + require_transformer_engine_mxfp8, + require_xpu, + run_first, + skip, + slow, + torch_device, +) +from .training import RegressionDataset, RegressionModel + + +from .scripts import test_script, test_sync, test_ops # isort: skip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/examples.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/examples.py new file mode 100644 index 0000000000000000000000000000000000000000..18549cdb31492650e707b6008e25eeac8e33b04e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/examples.py @@ -0,0 +1,148 @@ +#!/usr/bin/env python + +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +A collection of utilities for comparing `examples/complete_*_example.py` scripts with the capabilities inside of each +`examples/by_feature` example. `compare_against_test` is the main function that should be used when testing, while the +others are used to either get the code that matters, or to preprocess them (such as stripping comments) +""" + +import os +from typing import Optional + + +def get_function_contents_by_name(lines: list[str], name: str): + """ + Extracts a function from `lines` of segmented source code with the name `name`. + + Args: + lines (`List[str]`): + Source code of a script separated by line. + name (`str`): + The name of the function to extract. Should be either `training_function` or `main` + """ + if name != "training_function" and name != "main": + raise ValueError(f"Incorrect function name passed: {name}, choose either 'main' or 'training_function'") + good_lines, found_start = [], False + for line in lines: + if not found_start and f"def {name}" in line: + found_start = True + good_lines.append(line) + continue + if found_start: + if name == "training_function" and "def main" in line: + return good_lines + if name == "main" and "if __name__" in line: + return good_lines + good_lines.append(line) + + +def clean_lines(lines: list[str]): + """ + Filters `lines` and removes any entries that start with a comment ('#') or is just a newline ('\n') + + Args: + lines (`List[str]`): + Source code of a script separated by line. + """ + return [line for line in lines if not line.lstrip().startswith("#") and line != "\n"] + + +def compare_against_test( + base_filename: str, feature_filename: str, parser_only: bool, secondary_filename: Optional[str] = None +): + """ + Tests whether the additional code inside of `feature_filename` was implemented in `base_filename`. This should be + used when testing to see if `complete_*_.py` examples have all of the implementations from each of the + `examples/by_feature/*` scripts. + + It utilizes `nlp_example.py` to extract out all of the repeated training code, so that only the new additional code + is examined and checked. If something *other* than `nlp_example.py` should be used, such as `cv_example.py` for the + `complete_cv_example.py` script, it should be passed in for the `secondary_filename` parameter. + + Args: + base_filename (`str` or `os.PathLike`): + The filepath of a single "complete" example script to test, such as `examples/complete_cv_example.py` + feature_filename (`str` or `os.PathLike`): + The filepath of a single feature example script. The contents of this script are checked to see if they + exist in `base_filename` + parser_only (`bool`): + Whether to compare only the `main()` sections in both files, or to compare the contents of + `training_loop()` + secondary_filename (`str`, *optional*): + A potential secondary filepath that should be included in the check. This function extracts the base + functionalities off of "examples/nlp_example.py", so if `base_filename` is a script other than + `complete_nlp_example.py`, the template script should be included here. Such as `examples/cv_example.py` + """ + with open(base_filename) as f: + base_file_contents = f.readlines() + with open(os.path.abspath(os.path.join("examples", "nlp_example.py"))) as f: + full_file_contents = f.readlines() + with open(feature_filename) as f: + feature_file_contents = f.readlines() + if secondary_filename is not None: + with open(secondary_filename) as f: + secondary_file_contents = f.readlines() + + # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content + if parser_only: + base_file_func = clean_lines(get_function_contents_by_name(base_file_contents, "main")) + full_file_func = clean_lines(get_function_contents_by_name(full_file_contents, "main")) + feature_file_func = clean_lines(get_function_contents_by_name(feature_file_contents, "main")) + if secondary_filename is not None: + secondary_file_func = clean_lines(get_function_contents_by_name(secondary_file_contents, "main")) + else: + base_file_func = clean_lines(get_function_contents_by_name(base_file_contents, "training_function")) + full_file_func = clean_lines(get_function_contents_by_name(full_file_contents, "training_function")) + feature_file_func = clean_lines(get_function_contents_by_name(feature_file_contents, "training_function")) + if secondary_filename is not None: + secondary_file_func = clean_lines( + get_function_contents_by_name(secondary_file_contents, "training_function") + ) + + _dl_line = "train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n" + + # Specific code in our script that differs from the full version, aka what is new + new_feature_code = [] + passed_idxs = [] # We keep track of the idxs just in case it's a repeated statement + it = iter(feature_file_func) + for i in range(len(feature_file_func) - 1): + if i not in passed_idxs: + line = next(it) + if (line not in full_file_func) and (line.lstrip() != _dl_line): + if "TESTING_MOCKED_DATALOADERS" not in line: + new_feature_code.append(line) + passed_idxs.append(i) + else: + # Skip over the `config['num_epochs'] = 2` statement + _ = next(it) + + # Extract out just the new parts from the full_file_training_func + new_full_example_parts = [] + passed_idxs = [] # We keep track of the idxs just in case it's a repeated statement + for i, line in enumerate(base_file_func): + if i not in passed_idxs: + if (line not in full_file_func) and (line.lstrip() != _dl_line): + if "TESTING_MOCKED_DATALOADERS" not in line: + new_full_example_parts.append(line) + passed_idxs.append(i) + + # Finally, get the overall diff + diff_from_example = [line for line in new_feature_code if line not in new_full_example_parts] + if secondary_filename is not None: + diff_from_two = [line for line in full_file_contents if line not in secondary_file_func] + diff_from_example = [line for line in diff_from_example if line not in diff_from_two] + + return diff_from_example diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c9cbe26c257b515f657c05e1996d517e69613972 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2020 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c9cbe26c257b515f657c05e1996d517e69613972 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2020 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_checkpointing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_checkpointing.py new file mode 100644 index 0000000000000000000000000000000000000000..6a1553898ec3d55e64822c204ddf7e705069ce8a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_checkpointing.py @@ -0,0 +1,269 @@ +# Copyright 2022 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import argparse +import json +import os + +import evaluate +import torch +from datasets import load_dataset +from torch.optim import AdamW +from torch.utils.data import DataLoader +from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed + +from accelerate import Accelerator, DistributedType +from accelerate.utils.deepspeed import DummyOptim, DummyScheduler + + +MAX_GPU_BATCH_SIZE = 16 +EVAL_BATCH_SIZE = 32 + + +def get_dataloaders(accelerator: Accelerator, batch_size: int = 16, model_name: str = "bert-base-cased"): + """ + Creates a set of `DataLoader`s for the `glue` dataset. + + Args: + accelerator (`Accelerator`): + An `Accelerator` object + batch_size (`int`, *optional*): + The batch size for the train and validation DataLoaders. + model_name (`str`, *optional*): + """ + tokenizer = AutoTokenizer.from_pretrained(model_name) + datasets = load_dataset("glue", "mrpc") + + def tokenize_function(examples): + # max_length=None => use the model max length (it's actually the default) + outputs = tokenizer(examples["sentence1"], examples["sentence2"], truncation=True, max_length=None) + return outputs + + # Apply the method we just defined to all the examples in all the splits of the dataset + tokenized_datasets = datasets.map( + tokenize_function, batched=True, remove_columns=["idx", "sentence1", "sentence2"], load_from_cache_file=False + ) + + # We also rename the 'label' column to 'labels' which is the expected name for labels by the models of the + # transformers library + tokenized_datasets = tokenized_datasets.rename_column("label", "labels") + + def collate_fn(examples): + # On TPU it's best to pad everything to the same length or training will be very slow. + if accelerator.distributed_type == DistributedType.XLA: + return tokenizer.pad(examples, padding="max_length", max_length=128, return_tensors="pt") + return tokenizer.pad(examples, padding="longest", return_tensors="pt") + + # Instantiate dataloaders. + train_dataloader = DataLoader( + tokenized_datasets["train"], shuffle=True, collate_fn=collate_fn, batch_size=batch_size + ) + eval_dataloader = DataLoader( + tokenized_datasets["validation"], shuffle=False, collate_fn=collate_fn, batch_size=EVAL_BATCH_SIZE + ) + + return train_dataloader, eval_dataloader + + +def evaluation_loop(accelerator, model, eval_dataloader, metric): + model.eval() + samples_seen = 0 + for step, batch in enumerate(eval_dataloader): + # We could avoid this line since we set the accelerator with `device_placement=True`. + batch.to(accelerator.device) + with torch.no_grad(): + outputs = model(**batch) + predictions = outputs.logits.argmax(dim=-1) + # It is slightly faster to call this once, than multiple times + predictions, references = accelerator.gather( + (predictions, batch["labels"]) + ) # If we are in a multiprocess environment, the last batch has duplicates + if accelerator.use_distributed: + if step == len(eval_dataloader) - 1: + predictions = predictions[: len(eval_dataloader.dataset) - samples_seen] + references = references[: len(eval_dataloader.dataset) - samples_seen] + else: + samples_seen += references.shape[0] + metric.add_batch( + predictions=predictions, + references=references, + ) + + eval_metric = metric.compute() + return eval_metric["accuracy"] + + +def training_function(config, args): + # Initialize accelerator + accelerator = Accelerator() + + # Sample hyper-parameters for learning rate, batch size, seed and a few other HPs + lr = config["lr"] + num_epochs = int(config["num_epochs"]) + seed = int(config["seed"]) + batch_size = int(config["batch_size"]) + model_name = args.model_name_or_path + + set_seed(seed) + train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size, model_name) + + # Instantiate the model (we build the model here so that the seed also control new weights initialization) + model = AutoModelForSequenceClassification.from_pretrained(model_name, return_dict=True) + + # Instantiate optimizer + optimizer_cls = ( + AdamW + if accelerator.state.deepspeed_plugin is None + or "optimizer" not in accelerator.state.deepspeed_plugin.deepspeed_config + else DummyOptim + ) + optimizer = optimizer_cls(params=model.parameters(), lr=lr) + + if accelerator.state.deepspeed_plugin is not None: + gradient_accumulation_steps = accelerator.state.deepspeed_plugin.deepspeed_config[ + "gradient_accumulation_steps" + ] + else: + gradient_accumulation_steps = 1 + max_training_steps = (len(train_dataloader) * num_epochs) // gradient_accumulation_steps + + # Instantiate scheduler + if ( + accelerator.state.deepspeed_plugin is None + or "scheduler" not in accelerator.state.deepspeed_plugin.deepspeed_config + ): + lr_scheduler = get_linear_schedule_with_warmup( + optimizer=optimizer, + num_warmup_steps=0, + num_training_steps=max_training_steps, + ) + else: + lr_scheduler = DummyScheduler(optimizer, total_num_steps=max_training_steps, warmup_num_steps=0) + + # Prepare everything + # There is no specific order to remember, we just need to unpack the objects in the same order we gave them to the + # prepare method. + model, optimizer, train_dataloader, eval_dataloader, lr_scheduler = accelerator.prepare( + model, optimizer, train_dataloader, eval_dataloader, lr_scheduler + ) + + # We need to keep track of how many total steps we have iterated over + overall_step = 0 + # We also need to keep track of the stating epoch so files are named properly + starting_epoch = 0 + metric = evaluate.load("glue", "mrpc") + ending_epoch = num_epochs + + if args.partial_train_epoch is not None: + ending_epoch = args.partial_train_epoch + + if args.resume_from_checkpoint: + accelerator.load_state(args.resume_from_checkpoint) + epoch_string = args.resume_from_checkpoint.split("epoch_")[1] + state_epoch_num = "" + for char in epoch_string: + if char.isdigit(): + state_epoch_num += char + else: + break + starting_epoch = int(state_epoch_num) + 1 + accuracy = evaluation_loop(accelerator, model, eval_dataloader, metric) + accelerator.print("resumed checkpoint performance:", accuracy) + accelerator.print("resumed checkpoint's scheduler's lr:", lr_scheduler.get_lr()[0]) + accelerator.print("resumed optimizers's lr:", optimizer.param_groups[0]["lr"]) + with open(os.path.join(args.output_dir, f"state_{starting_epoch - 1}.json")) as f: + resumed_state = json.load(f) + assert resumed_state["accuracy"] == accuracy, "Accuracy mismatch, loading from checkpoint failed" + assert resumed_state["lr"] == lr_scheduler.get_lr()[0], ( + "Scheduler learning rate mismatch, loading from checkpoint failed" + ) + assert resumed_state["optimizer_lr"] == optimizer.param_groups[0]["lr"], ( + "Optimizer learning rate mismatch, loading from checkpoint failed" + ) + assert resumed_state["epoch"] == starting_epoch - 1, "Epoch mismatch, loading from checkpoint failed" + return + + # Now we train the model + state = {} + for epoch in range(starting_epoch, ending_epoch): + model.train() + for step, batch in enumerate(train_dataloader): + outputs = model(**batch) + loss = outputs.loss + loss = loss / gradient_accumulation_steps + accelerator.backward(loss) + if step % gradient_accumulation_steps == 0: + optimizer.step() + lr_scheduler.step() + optimizer.zero_grad() + + overall_step += 1 + output_dir = f"epoch_{epoch}" + output_dir = os.path.join(args.output_dir, output_dir) + accelerator.save_state(output_dir) + accuracy = evaluation_loop(accelerator, model, eval_dataloader, metric) + state["accuracy"] = accuracy + state["lr"] = lr_scheduler.get_lr()[0] + state["optimizer_lr"] = optimizer.param_groups[0]["lr"] + state["epoch"] = epoch + state["step"] = overall_step + accelerator.print(f"epoch {epoch}:", state) + + accelerator.wait_for_everyone() + if accelerator.is_main_process: + with open(os.path.join(args.output_dir, f"state_{epoch}.json"), "w") as f: + json.dump(state, f) + accelerator.end_training() + + +def main(): + parser = argparse.ArgumentParser(description="Simple example of training script tracking peak GPU memory usage.") + parser.add_argument( + "--model_name_or_path", + type=str, + default="bert-base-cased", + help="Path to pretrained model or model identifier from huggingface.co/models.", + required=False, + ) + parser.add_argument( + "--output_dir", + type=str, + default=".", + help="Optional save directory where all checkpoint folders will be stored. Default is the current working directory.", + ) + parser.add_argument( + "--resume_from_checkpoint", + type=str, + default=None, + help="If the training should continue from a checkpoint folder.", + ) + parser.add_argument( + "--partial_train_epoch", + type=int, + default=None, + help="If passed, the training will stop after this number of epochs.", + ) + parser.add_argument( + "--num_epochs", + type=int, + default=2, + help="Number of train epochs.", + ) + args = parser.parse_args() + config = {"lr": 2e-5, "num_epochs": args.num_epochs, "seed": 42, "batch_size": 16} + + training_function(config, args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_ds_alst_ulysses_sp.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_ds_alst_ulysses_sp.py new file mode 100644 index 0000000000000000000000000000000000000000..eb910a45dfbe9924ab0b417bfafc5d6a89567edd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_ds_alst_ulysses_sp.py @@ -0,0 +1,129 @@ +# Copyright 2024 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +Test script for verifying ALST/Ulysses SP works +""" + +import torch +from deepspeed.runtime.utils import move_to_device +from transformers import AutoModelForCausalLM, AutoTokenizer + +from accelerate import Accelerator +from accelerate.utils import ParallelismConfig, set_seed +from accelerate.utils.dataclasses import DeepSpeedSequenceParallelConfig + + +set_seed(42) + +world_size = 2 +model_name = "hf-internal-testing/tiny-random-LlamaForCausalLM" + +micro_batch_size = 1 + +parallelism_config = ParallelismConfig( + sp_backend="deepspeed", + sp_size=world_size, + # dp_shard_size=1, # set if dp is wanted as well + sp_handler=DeepSpeedSequenceParallelConfig( + sp_seq_length=256, + sp_seq_length_is_variable=True, + sp_attn_implementation="sdpa", + ), +) + +accelerator = Accelerator( + parallelism_config=parallelism_config, +) + +tokenizer = AutoTokenizer.from_pretrained(model_name) +model = AutoModelForCausalLM.from_pretrained(model_name) + +samples = 4 +seqlen = 32 +input_ids = torch.arange(1, seqlen * samples + 1).view(-1, seqlen) + 100 +position_ids = torch.arange(seqlen * samples).view(-1, seqlen) + +ds = torch.utils.data.TensorDataset(input_ids, position_ids) + + +def collate_fn(batch): + input_ids, position_ids = batch[0] + return dict( + input_ids=input_ids.unsqueeze(0), + position_ids=position_ids.unsqueeze(0), + labels=input_ids.unsqueeze(0), + ) + + +dl = torch.utils.data.DataLoader(ds, batch_size=micro_batch_size, collate_fn=collate_fn) + +optimizer = torch.optim.Adam(model.parameters(), lr=1e-5) + +rank = torch.distributed.get_rank() + +if rank == 0: + print(f"DL orig: {len(dl)} samples") + +model, optimizer, dl = accelerator.prepare(model, optimizer, dl) + +if rank == 0: + print(f"DL w/ adapter: {len(dl)} samples") + +sp_size = parallelism_config.sp_size if parallelism_config else 1 +if sp_size > 1: + sp_group = accelerator.torch_device_mesh["sp"].get_group() + sp_world_size = parallelism_config.sp_size + +unwrapped_model = accelerator.unwrap_model(model) + +# Normal training loop +for iter, batch in enumerate(dl): + optimizer.zero_grad() + + if rank == 0: + print(f"batch {iter}: seqlen: {len(batch['input_ids'][0])}") + batch = move_to_device(batch, model.device) + outputs = model(**batch) + + shift_labels = batch["shift_labels"] + loss = unwrapped_model.loss_function( + logits=outputs.logits, + labels=None, + shift_labels=shift_labels, + vocab_size=unwrapped_model.config.vocab_size, + ) + + if sp_size > 1: + # differentiable weighted per-shard-loss aggregation across ranks + losses_per_rank = torch.distributed.nn.functional.all_gather(loss, group=sp_group) + # special dealing with SFT that has prompt tokens that aren't used in loss computation + good_tokens = (shift_labels != -100).view(-1).sum() + good_tokens_per_rank = torch.distributed.nn.functional.all_gather(good_tokens, group=sp_group) + total_loss = sum( + losses_per_rank[rank] * good_tokens_per_rank[rank] + for rank in range(sp_world_size) + if good_tokens_per_rank[rank] > 0 + ) + total_good_tokens = sum(good_tokens_per_rank) + loss = total_loss / max(total_good_tokens, 1) + + if rank == 0: + accelerator.print(f"{iter}: {loss=}") + accelerator.log(dict(train_loss=loss, step=iter)) + + accelerator.backward(loss) + optimizer.step() + +accelerator.end_training() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_ds_multiple_model.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_ds_multiple_model.py new file mode 100644 index 0000000000000000000000000000000000000000..a9ff3f3d2d0214f2b36f2b51e1d029b6ddf7cb7c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_ds_multiple_model.py @@ -0,0 +1,331 @@ +# Copyright 2024 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +Test script for verifying multiple models can be utilized with Accelerate + DeepSpeed: + +Scenario 1: One model is training, another model is being used for inference/logits to impact training in some form. +Scenario 2: Two models are training simultaneously, which means two optimizers, etc. +""" + +import argparse +from pathlib import Path + +import evaluate +import torch +from datasets import load_dataset +from torch.optim import AdamW +from torch.utils.data import DataLoader +from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup + +from accelerate import Accelerator, DeepSpeedPlugin, DistributedType +from accelerate.state import AcceleratorState +from accelerate.utils.deepspeed import get_active_deepspeed_plugin + + +EVAL_BATCH_SIZE = 16 + + +class NoiseModel(torch.nn.Module): + def __init__(self, noise_factor=0.1): + super().__init__() + self.noise_factor = torch.nn.Parameter(torch.tensor(noise_factor, dtype=torch.float32)) + + def forward(self, loss): + return loss * self.noise_factor + + +def get_dataloaders(accelerator: Accelerator, batch_size: int = 16, model_name: str = "bert-base-cased"): + """ + Creates a set of `DataLoader`s for the `glue` dataset. + + Args: + accelerator (`Accelerator`): + An `Accelerator` object + batch_size (`int`, *optional*): + The batch size for the train and validation DataLoaders. + model_name (`str`, *optional*): + """ + tokenizer = AutoTokenizer.from_pretrained(model_name) + datasets = load_dataset("glue", "mrpc") + + def tokenize_function(examples): + # max_length=None => use the model max length (it's actually the default) + outputs = tokenizer(examples["sentence1"], examples["sentence2"], truncation=True, max_length=None) + return outputs + + # Apply the method we just defined to all the examples in all the splits of the dataset + tokenized_datasets = datasets.map( + tokenize_function, batched=True, remove_columns=["idx", "sentence1", "sentence2"], load_from_cache_file=False + ) + + # We also rename the 'label' column to 'labels' which is the expected name for labels by the models of the + # transformers library + tokenized_datasets = tokenized_datasets.rename_column("label", "labels") + + def collate_fn(examples): + # On TPU it's best to pad everything to the same length or training will be very slow. + if accelerator.distributed_type == DistributedType.XLA: + return tokenizer.pad(examples, padding="max_length", max_length=128, return_tensors="pt") + return tokenizer.pad(examples, padding="longest", return_tensors="pt") + + # Instantiate dataloaders. + train_dataloader = DataLoader( + tokenized_datasets["train"], shuffle=True, collate_fn=collate_fn, batch_size=batch_size + ) + eval_dataloader = DataLoader( + tokenized_datasets["validation"], shuffle=False, collate_fn=collate_fn, batch_size=EVAL_BATCH_SIZE + ) + + return train_dataloader, eval_dataloader + + +test_file_path = __file__ +path = Path(test_file_path).resolve() +test_file_dir_str = str(path.parent.parent.parent.parent.parent.parent) + +# Create our DS plugins +# We use custom schedulers and optimizers, hence `model_only` +ds_config_file = dict( + zero2=f"{test_file_dir_str}/tests/deepspeed/ds_config_zero2_model_only.json", + zero3=f"{test_file_dir_str}/tests/deepspeed/ds_config_zero3_model_only.json", +) + + +def single_model_training(config, args): + # Training a single model, we have a `noise` model that is untrainable used to inject some noise into the training process + num_epochs = config["num_epochs"] + zero2_plugin = DeepSpeedPlugin(hf_ds_config=ds_config_file["zero2"]) + zero3_plugin = DeepSpeedPlugin(hf_ds_config=ds_config_file["zero3"]) + + deepspeed_plugins = {"training": zero2_plugin, "inference": zero3_plugin} + + # Initialize accelerator + accelerator = Accelerator( + deepspeed_plugins=deepspeed_plugins, + mixed_precision="bf16", + ) + + # Initialize model under zero2 plugin + assert get_active_deepspeed_plugin(accelerator.state) is zero2_plugin + train_model = AutoModelForSequenceClassification.from_pretrained(args.model_name_or_path) + train_dataloader, eval_dataloader = get_dataloaders( + accelerator, batch_size=config["batch_size"], model_name=args.model_name_or_path + ) + max_training_steps = len(train_dataloader) * config["num_epochs"] + optimizer = AdamW(train_model.parameters(), lr=config["lr"]) + lr_scheduler = get_linear_schedule_with_warmup( + optimizer, num_warmup_steps=0, num_training_steps=max_training_steps + ) + + train_dataloader, eval_dataloader, train_model, optimizer, lr_scheduler = accelerator.prepare( + train_dataloader, eval_dataloader, train_model, optimizer, lr_scheduler + ) + + # Now prepare the model under zero3 plugin + accelerator.state.select_deepspeed_plugin("inference") + assert get_active_deepspeed_plugin(accelerator.state) is zero3_plugin + inference_model = NoiseModel() + inference_model = accelerator.prepare(inference_model) + inference_model.eval() + + # Run training loop + accelerator.state.select_deepspeed_plugin("training") + # We also need to keep track of the stating epoch so files are named properly + starting_epoch = 0 + + # Now we train the model + best_performance = 0 + metric = evaluate.load("glue", "mrpc") + performance_metric = {} + for epoch in range(starting_epoch, num_epochs): + train_model.train() + inference_model.train() + for step, batch in enumerate(train_dataloader): + with accelerator.accumulate(train_model): + outputs_1 = train_model(**batch) + with torch.no_grad(): + outputs_2 = inference_model(outputs_1.loss) + # Combine the losses + loss = outputs_1.loss + outputs_2 + accelerator.backward(loss) + optimizer.step() + lr_scheduler.step() + optimizer.zero_grad() + + train_model.eval() + for step, batch in enumerate(eval_dataloader): + with torch.no_grad(): + outputs = train_model(**batch) + predictions = outputs.logits.argmax(dim=-1) + # It is slightly faster to call this once, than multiple times + predictions, references = accelerator.gather_for_metrics((predictions, batch["labels"])) + metric.add_batch( + predictions=predictions, + references=references, + ) + + eval_metric = metric.compute() + # Use accelerator.print to print only on the main process. + accelerator.print(f"epoch {epoch}:", eval_metric) + performance_metric[f"epoch-{epoch}"] = eval_metric["accuracy"] + + if best_performance < eval_metric["accuracy"]: + best_performance = eval_metric["accuracy"] + assert best_performance > performance_metric["epoch-0"] + + +def multiple_model_training(config, args): + # This will essentially be like a k-fold model, but one model is Zero-2 and another model is Zero-3 + num_epochs = config["num_epochs"] + zero2_plugin = DeepSpeedPlugin(hf_ds_config=ds_config_file["zero2"]) + zero3_plugin = DeepSpeedPlugin(hf_ds_config=ds_config_file["zero3"]) + + deepspeed_plugins = {"zero2": zero2_plugin, "zero3": zero3_plugin} + + # Initialize accelerator + zero2_accelerator = Accelerator( + deepspeed_plugins=deepspeed_plugins, + mixed_precision="bf16", + ) + + # Since an `AcceleratorState` has already been made, we can just reuse it here + zero3_accelerator = Accelerator() + + # Initialize model under zero2 plugin + assert get_active_deepspeed_plugin(zero2_accelerator.state) is zero2_plugin + zero2_model = AutoModelForSequenceClassification.from_pretrained(args.model_name_or_path) + train_dataloader, eval_dataloader = get_dataloaders( + zero2_accelerator, batch_size=config["batch_size"], model_name=args.model_name_or_path + ) + max_training_steps = len(train_dataloader) * config["num_epochs"] + zero2_optimizer = AdamW(zero2_model.parameters(), lr=config["lr"]) + zero2_lr_scheduler = get_linear_schedule_with_warmup( + zero2_optimizer, num_warmup_steps=0, num_training_steps=max_training_steps + ) + + train_dataloader, eval_dataloader, zero2_model, zero2_optimizer, zero2_lr_scheduler = zero2_accelerator.prepare( + train_dataloader, eval_dataloader, zero2_model, zero2_optimizer, zero2_lr_scheduler + ) + assert zero2_accelerator.deepspeed_engine_wrapped.engine is zero2_model + + # now do Zero3 + zero3_accelerator.state.select_deepspeed_plugin("zero3") + zero3_plugin.deepspeed_config["train_micro_batch_size_per_gpu"] = zero2_plugin.deepspeed_config[ + "train_micro_batch_size_per_gpu" + ] + assert get_active_deepspeed_plugin(zero3_accelerator.state) is zero3_plugin + zero3_model = AutoModelForSequenceClassification.from_pretrained(args.model_name_or_path) + zero3_optimizer = AdamW(zero3_model.parameters(), lr=config["lr"]) + zero3_lr_scheduler = get_linear_schedule_with_warmup( + zero3_optimizer, num_warmup_steps=0, num_training_steps=max_training_steps + ) + zero3_model, zero3_optimizer, zero3_lr_scheduler = zero3_accelerator.prepare( + zero3_model, zero3_optimizer, zero3_lr_scheduler + ) + assert zero3_accelerator.deepspeed_engine_wrapped.engine is zero3_model + + # Run training loop + starting_epoch = 0 + + # Now we train the model + best_performance_a = 0 + best_performance_b = 0 + metric_a = evaluate.load("glue", "mrpc") + metric_b = evaluate.load("glue", "mrpc") + performance_metric_a = {} + performance_metric_b = {} + for epoch in range(starting_epoch, num_epochs): + zero2_model.train() + zero3_model.train() + for step, batch in enumerate(train_dataloader): + with zero2_accelerator.accumulate(zero2_model, zero3_model): + outputs_1 = zero2_model(**batch) + zero2_accelerator.backward(outputs_1.loss) + zero2_optimizer.step() + zero2_lr_scheduler.step() + zero2_optimizer.zero_grad() + outputs_2 = zero3_model(**batch) + zero3_accelerator.backward(outputs_2.loss) + zero3_optimizer.step() + zero3_lr_scheduler.step() + zero3_optimizer.zero_grad() + + zero2_model.eval() + zero3_model.eval() + for step, batch in enumerate(eval_dataloader): + with torch.no_grad(): + logits_a = zero2_model(**batch).logits + logits_b = zero3_model(**batch).logits + # Combine the logits from both models + predictions_a = logits_a.argmax(dim=-1) + predictions_b = logits_b.argmax(dim=-1) + # It is slightly faster to call this once, than multiple times + predictions_a, predictions_b, references = zero2_accelerator.gather_for_metrics( + (predictions_a, predictions_b, batch["labels"]) + ) + metric_a.add_batch( + predictions=predictions_a, + references=references, + ) + metric_b.add_batch( + predictions=predictions_b, + references=references, + ) + + eval_metric_a = metric_a.compute() + eval_metric_b = metric_b.compute() + # Use accelerator.print to print only on the main process. + zero2_accelerator.print(f"epoch {epoch}:", eval_metric_a, eval_metric_b) + performance_metric_a[f"epoch-{epoch}"] = eval_metric_a["accuracy"] + performance_metric_b[f"epoch-{epoch}"] = eval_metric_b["accuracy"] + + if best_performance_a < eval_metric_a["accuracy"]: + best_performance_a = eval_metric_a["accuracy"] + if best_performance_b < eval_metric_b["accuracy"]: + best_performance_b = eval_metric_b["accuracy"] + assert best_performance_a > performance_metric_a["epoch-0"] + assert best_performance_b > performance_metric_b["epoch-0"] + + +def main(): + parser = argparse.ArgumentParser(description="Simple example of training script tracking peak GPU memory usage.") + parser.add_argument( + "--model_name_or_path", + type=str, + default="bert-base-cased", + help="Path to pretrained model or model identifier from huggingface.co/models.", + required=False, + ) + parser.add_argument( + "--performance_lower_bound", + type=float, + default=None, + help="Optional lower bound for the performance metric. If set, the training will throw error when the performance metric drops below this value.", + ) + parser.add_argument( + "--num_epochs", + type=int, + default=3, + help="Number of train epochs.", + ) + args = parser.parse_args() + config = {"lr": 2e-5, "num_epochs": args.num_epochs, "seed": 42, "batch_size": 8} + single_model_training(config, args) + AcceleratorState._reset_state(True) + multiple_model_training(config, args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_metrics.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_metrics.py new file mode 100644 index 0000000000000000000000000000000000000000..d1bfe351509148ebc48067584e9d61b93e7210a6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_metrics.py @@ -0,0 +1,307 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +import math +import os +from copy import deepcopy + +import datasets +import evaluate +import torch +import transformers +from datasets import load_dataset +from torch.utils.data import DataLoader, IterableDataset +from transformers import AutoModelForSequenceClassification, AutoTokenizer + +from accelerate import Accelerator, DataLoaderConfiguration, DistributedType +from accelerate.data_loader import DataLoaderDispatcher +from accelerate.test_utils import RegressionDataset, RegressionModel, torch_device +from accelerate.utils import is_torch_xla_available, set_seed + + +os.environ["TRANSFORMERS_NO_ADVISORY_WARNINGS"] = "true" + + +class ListHandler(logging.Handler): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.logs = [] + + def emit(self, record): + self.logs.append(record) + + +def get_basic_setup(accelerator, num_samples=82, batch_size=16): + "Returns everything needed to perform basic training" + set_seed(42) + model = RegressionModel() + ddp_model = deepcopy(model) + dset = RegressionDataset(length=num_samples) + dataloader = DataLoader(dset, batch_size=batch_size) + model.to(accelerator.device) + ddp_model, dataloader = accelerator.prepare(ddp_model, dataloader) + return model, ddp_model, dataloader + + +def get_dataloader(accelerator: Accelerator, use_longest=False): + tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/mrpc-bert-base-cased") + dataset = load_dataset("glue", "mrpc", split="validation") + + def tokenize_function(examples): + outputs = tokenizer(examples["sentence1"], examples["sentence2"], truncation=True, max_length=None) + return outputs + + with accelerator.main_process_first(): + tokenized_datasets = dataset.map( + tokenize_function, + batched=True, + remove_columns=["idx", "sentence1", "sentence2"], + ) + + tokenized_datasets = tokenized_datasets.rename_column("label", "labels") + + def collate_fn(examples): + if use_longest: + return tokenizer.pad(examples, padding="longest", return_tensors="pt") + return tokenizer.pad(examples, padding="max_length", max_length=128, return_tensors="pt") + + return DataLoader(tokenized_datasets, shuffle=False, collate_fn=collate_fn, batch_size=16) + + +def get_mrpc_setup(dispatch_batches, split_batches): + dataloader_config = DataLoaderConfiguration(dispatch_batches=dispatch_batches, split_batches=split_batches) + accelerator = Accelerator(dataloader_config=dataloader_config) + dataloader = get_dataloader(accelerator, not dispatch_batches) + model = AutoModelForSequenceClassification.from_pretrained( + "hf-internal-testing/mrpc-bert-base-cased", return_dict=True + ) + ddp_model, ddp_dataloader = accelerator.prepare(model, dataloader) + return { + "ddp": [ddp_model, ddp_dataloader, torch_device], + "no": [model, dataloader, accelerator.device], + }, accelerator + + +def generate_predictions(model, dataloader, accelerator): + logits_and_targets = [] + for batch in dataloader: + input, target = batch.values() + with torch.no_grad(): + logit = model(input) + logit, target = accelerator.gather_for_metrics((logit, target)) + logits_and_targets.append((logit, target)) + logits, targs = [], [] + for logit, targ in logits_and_targets: + logits.append(logit) + targs.append(targ) + logits, targs = torch.cat(logits), torch.cat(targs) + return logits, targs + + +def test_torch_metrics( + accelerator: Accelerator, num_samples=82, dispatch_batches=False, split_batches=False, batch_size=16 +): + _, ddp_model, dataloader = get_basic_setup(accelerator, num_samples, batch_size) + logits, _ = generate_predictions(ddp_model, dataloader, accelerator) + assert len(logits) == num_samples, ( + f"Unexpected number of inputs:\n Expected: {num_samples}\n Actual: {len(logits)}" + ) + + +def test_mrpc(dispatch_batches: bool = False, split_batches: bool = False): + metric = evaluate.load("glue", "mrpc") + setup, accelerator = get_mrpc_setup(dispatch_batches, split_batches) + # First do baseline + model, dataloader, device = setup["no"] + model.to(device) + model.eval() + for batch in dataloader: + batch.to(device) + with torch.inference_mode(): + outputs = model(**batch) + preds = outputs.logits.argmax(dim=-1) + metric.add_batch(predictions=preds, references=batch["labels"]) + baseline = metric.compute() + + # Then do distributed + model, dataloader, device = setup["ddp"] + model.eval() + for batch in dataloader: + with torch.inference_mode(): + outputs = model(**batch) + preds = outputs.logits.argmax(dim=-1) + references = batch["labels"] + preds, references = accelerator.gather_for_metrics((preds, references)) + metric.add_batch(predictions=preds, references=references) + distributed = metric.compute() + + for key in "accuracy f1".split(): + assert math.isclose(baseline[key], distributed[key]), ( + f"Baseline and Distributed are not the same for key {key}:\n\tBaseline: {baseline[key]}\n\tDistributed: {distributed[key]}\n" + ) + + +def test_gather_for_metrics_with_non_tensor_objects_iterable_dataset(): + class DummyIterableDataset(IterableDataset): + def __init__(self, data): + self.data = data + + def __len__(self): + return len(self.data) + + def __iter__(self): + yield from self.data + + iterable_dataset = DummyIterableDataset([n for n in range(30)]) + dataloader = DataLoader(iterable_dataset, batch_size=4) + accelerator = Accelerator() + prepared_dataloader = accelerator.prepare(dataloader) + + if accelerator.is_main_process: + logger = logging.root.manager.loggerDict["accelerate.accelerator"] + list_handler = ListHandler() + logger.addHandler(list_handler) + + batches_for_metrics = [] + for batch in prepared_dataloader: + batches_for_metrics.append(accelerator.gather_for_metrics(batch)) + + assert torch.cat(batches_for_metrics).size(0) == 30 + + if accelerator.is_main_process: + assert len(list_handler.logs) == 0 + logger.removeHandler(list_handler) + + +def test_gather_for_metrics_with_iterable_dataset(): + class DummyIterableDataset(IterableDataset): + def __init__(self, data): + self.data = data + + def __len__(self): + return len(self.data) + + def __iter__(self): + yield from self.data + + iterable_dataset = DummyIterableDataset(torch.as_tensor(range(30))) + dataloader = DataLoader(iterable_dataset, batch_size=4) + + accelerator = Accelerator() + prepared_dataloader = accelerator.prepare(dataloader) + + assert isinstance(prepared_dataloader, DataLoaderDispatcher) + + if accelerator.is_main_process: + logger = logging.root.manager.loggerDict["accelerate.accelerator"] + list_handler = ListHandler() + logger.addHandler(list_handler) + + batches_for_metrics = [] + for batch in prepared_dataloader: + batches_for_metrics.append(accelerator.gather_for_metrics(batch)) + + assert torch.cat(batches_for_metrics).size(0) == 30 + + if accelerator.is_main_process: + assert len(list_handler.logs) == 0 + + logger.removeHandler(list_handler) + + +def test_gather_for_metrics_drop_last(): + accelerator = Accelerator() + per_device_batch_size = 5 + num_items = (10 * accelerator.num_processes) + 1 + dataloader = DataLoader(range(num_items), batch_size=per_device_batch_size, drop_last=True) + dataloader = accelerator.prepare(dataloader) + + iterator = iter(dataloader) + next(iterator) # Skip first batch tensor([0, 1, 2, 3, 4], device='cuda:0') + batch = next(iterator) + gathered_items = accelerator.gather_for_metrics(batch) + + # Should return a full set of complete batches from each GPU + num_expected_items = per_device_batch_size * accelerator.num_processes + assert gathered_items.size(0) == (num_expected_items), ( + f"Expected number of items: {num_expected_items}, Actual: {gathered_items.size(0)}" + ) + + +def main(): + dataloader_config = DataLoaderConfiguration(split_batches=False, dispatch_batches=False) + accelerator = Accelerator(dataloader_config=dataloader_config) + if accelerator.is_local_main_process: + datasets.utils.logging.set_verbosity_warning() + transformers.utils.logging.set_verbosity_warning() + else: + datasets.utils.logging.set_verbosity_error() + transformers.utils.logging.set_verbosity_error() + # TorchXLA does not support batch dispatching. 'put_on_device' is always False for + # TorchXLA, which can cause a value error in 'prepare_data_loader' function. + dispatch_batches_options = [False] if accelerator.state.distributed_type == DistributedType.XLA else [True, False] + + # Temporarily close this test for TorchXLA due to the 'Cannot set version_counter for + # inference tensor' error in inference mode. Reopen it after TorchXLA fixes this bug. + # These are a bit slower so they should only be ran on the GPU or TPU + if accelerator.device.type != "cpu" and not is_torch_xla_available(): + if accelerator.is_local_main_process: + print("**Testing gather_for_metrics**") + for split_batches in [True, False]: + for dispatch_batches in dispatch_batches_options: + if accelerator.is_local_main_process: + print(f"With: `split_batches={split_batches}`, `dispatch_batches={dispatch_batches}`") + test_mrpc(dispatch_batches, split_batches) + accelerator.state._reset_state() + print("test_gather_for_metrics_with_iterable_dataset") + test_gather_for_metrics_with_iterable_dataset() + print("test gather_for_metrics_with_non_tensor_objects_iterable_dataset") + test_gather_for_metrics_with_non_tensor_objects_iterable_dataset() + + # MpDeviceLoader in TorchXLA is an asynchronous loader that preloads several batches into cache. + # This can cause the 'end_of_dataloader' of DataLoaderStateMixin to be set earlier than intended. + # Skip this test when TorchXLA is enabled. + if accelerator.state.distributed_type != DistributedType.XLA: + if accelerator.is_local_main_process: + print("**Test torch metrics**") + for split_batches in [True, False]: + for dispatch_batches in dispatch_batches_options: + dataloader_config = DataLoaderConfiguration( + split_batches=split_batches, dispatch_batches=dispatch_batches + ) + accelerator = Accelerator(dataloader_config=dataloader_config) + if accelerator.is_local_main_process: + print(f"With: `split_batches={split_batches}`, `dispatch_batches={dispatch_batches}`, length=99") + test_torch_metrics(accelerator, 99) + accelerator.state._reset_state() + if accelerator.is_local_main_process: + print("**Test last batch is not dropped when perfectly divisible**") + accelerator = Accelerator() + test_torch_metrics(accelerator, 512) + accelerator.state._reset_state() + if accelerator.is_local_main_process: + print("**Test that `drop_last` is taken into account**") + test_gather_for_metrics_drop_last() + accelerator.end_training() + accelerator.state._reset_state() + + +def _mp_fn(index): + # For xla_spawn (TPUs) + main() + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_peak_memory_usage.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_peak_memory_usage.py new file mode 100644 index 0000000000000000000000000000000000000000..e1b59afec5c5de3d54bf26c8844dd8f9e6983f61 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_peak_memory_usage.py @@ -0,0 +1,314 @@ +# Copyright 2022 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import argparse +import gc +import json +import os + +import torch +from datasets import load_dataset +from torch.optim import AdamW +from torch.utils.data import DataLoader +from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed + +from accelerate import Accelerator, DistributedType +from accelerate.utils import ( + is_hpu_available, + is_mlu_available, + is_musa_available, + is_npu_available, + is_sdaa_available, + is_xpu_available, +) +from accelerate.utils.deepspeed import DummyOptim, DummyScheduler + + +MAX_GPU_BATCH_SIZE = 16 +EVAL_BATCH_SIZE = 32 + + +# Converting Bytes to Megabytes +def b2mb(x): + return int(x / 2**20) + + +# This context manager is used to track the peak memory usage of the process +class TorchTracemalloc: + def __enter__(self): + gc.collect() + if torch.cuda.is_available(): + torch.cuda.empty_cache() + torch.cuda.reset_max_memory_allocated() # reset the peak gauge to zero + self.begin = torch.cuda.memory_allocated() + elif is_mlu_available(): + torch.mlu.empty_cache() + torch.mlu.reset_max_memory_allocated() # reset the peak gauge to zero + self.begin = torch.mlu.memory_allocated() + elif is_sdaa_available(): + torch.sdaa.empty_cache() + torch.sdaa.reset_max_memory_allocated() # reset the peak gauge to zero + self.begin = torch.sdaa.memory_allocated() + elif is_musa_available(): + torch.musa.empty_cache() + torch.musa.reset_max_memory_allocated() # reset the peak gauge to zero + self.begin = torch.musa.memory_allocated() + elif is_npu_available(): + torch.npu.empty_cache() + torch.npu.reset_max_memory_allocated() # reset the peak gauge to zero + self.begin = torch.npu.memory_allocated() + elif is_xpu_available(): + torch.xpu.empty_cache() + torch.xpu.reset_peak_memory_stats() # reset the peak gauge to zero + self.begin = torch.xpu.memory_allocated() + elif is_hpu_available(): + # torch.hpu.empty_cache() # not available on hpu as it reserves all device memory for the current process + torch.hpu.reset_peak_memory_stats() # reset the peak gauge to zero + self.begin = torch.hpu.memory_allocated() + return self + + def __exit__(self, *exc): + gc.collect() + if torch.cuda.is_available(): + torch.cuda.empty_cache() + self.end = torch.cuda.memory_allocated() + self.peak = torch.cuda.max_memory_allocated() + elif is_mlu_available(): + torch.mlu.empty_cache() + self.end = torch.mlu.memory_allocated() + self.begin = torch.mlu.max_memory_allocated() + elif is_sdaa_available(): + torch.sdaa.empty_cache() + self.end = torch.sdaa.memory_allocated() + self.begin = torch.sdaa.max_memory_allocated() + elif is_musa_available(): + torch.musa.empty_cache() + self.end = torch.musa.memory_allocated() + self.begin = torch.musa.max_memory_allocated() + elif is_npu_available(): + torch.npu.empty_cache() + self.end = torch.npu.memory_allocated() + self.peak = torch.npu.max_memory_allocated() + elif is_xpu_available(): + torch.xpu.empty_cache() + self.end = torch.xpu.memory_allocated() + self.peak = torch.xpu.max_memory_allocated() + elif is_hpu_available(): + # torch.hpu.empty_cache() # not available on hpu as it reserves all device memory for the current process + self.end = torch.hpu.memory_allocated() + self.peak = torch.hpu.max_memory_allocated() + self.used = b2mb(self.end - self.begin) + self.peaked = b2mb(self.peak - self.begin) + # print(f"delta used/peak {self.used:4d}/{self.peaked:4d}") + + +def get_dataloaders( + accelerator: Accelerator, + batch_size: int = 16, + model_name: str = "bert-base-cased", + n_train: int = 320, + n_val: int = 160, +): + """ + Creates a set of `DataLoader`s for the `glue` dataset. + + Args: + accelerator (`Accelerator`): + An `Accelerator` object + batch_size (`int`, *optional*): + The batch size for the train and validation DataLoaders. + model_name (`str`, *optional*): + The name of the model to use. + n_train (`int`, *optional*): + The number of training examples to use. + n_val (`int`, *optional*): + The number of validation examples to use. + """ + tokenizer = AutoTokenizer.from_pretrained(model_name) + datasets = load_dataset( + "glue", "mrpc", split={"train": f"train[:{n_train}]", "validation": f"validation[:{n_val}]"} + ) + + def tokenize_function(examples): + # max_length=None => use the model max length (it's actually the default) + outputs = tokenizer(examples["sentence1"], examples["sentence2"], truncation=True, max_length=None) + return outputs + + # Apply the method we just defined to all the examples in all the splits of the dataset + tokenized_datasets = datasets.map( + tokenize_function, batched=True, remove_columns=["idx", "sentence1", "sentence2"], load_from_cache_file=False + ) + + # We also rename the 'label' column to 'labels' which is the expected name for labels by the models of the + # transformers library + tokenized_datasets = tokenized_datasets.rename_column("label", "labels") + + def collate_fn(examples): + # On TPU it's best to pad everything to the same length or training will be very slow. + if accelerator.distributed_type == DistributedType.XLA: + return tokenizer.pad(examples, padding="max_length", max_length=128, return_tensors="pt") + return tokenizer.pad(examples, padding="longest", return_tensors="pt") + + # Instantiate dataloaders. + train_dataloader = DataLoader( + tokenized_datasets["train"], shuffle=True, collate_fn=collate_fn, batch_size=batch_size + ) + eval_dataloader = DataLoader( + tokenized_datasets["validation"], shuffle=False, collate_fn=collate_fn, batch_size=EVAL_BATCH_SIZE + ) + + return train_dataloader, eval_dataloader + + +def training_function(config, args): + # Initialize accelerator + accelerator = Accelerator() + + # Sample hyper-parameters for learning rate, batch size, seed and a few other HPs + lr = config["lr"] + num_epochs = int(config["num_epochs"]) + seed = int(config["seed"]) + batch_size = int(config["batch_size"]) + model_name = args.model_name_or_path + + set_seed(seed) + train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size, model_name, args.n_train, args.n_val) + + # Instantiate the model (we build the model here so that the seed also control new weights initialization) + model = AutoModelForSequenceClassification.from_pretrained(model_name, return_dict=True) + + # Instantiate optimizer + optimizer_cls = ( + AdamW + if accelerator.state.deepspeed_plugin is None + or "optimizer" not in accelerator.state.deepspeed_plugin.deepspeed_config + else DummyOptim + ) + optimizer = optimizer_cls(params=model.parameters(), lr=lr) + + if accelerator.state.deepspeed_plugin is not None: + gradient_accumulation_steps = accelerator.state.deepspeed_plugin.deepspeed_config[ + "gradient_accumulation_steps" + ] + else: + gradient_accumulation_steps = 1 + max_training_steps = (len(train_dataloader) * num_epochs) // gradient_accumulation_steps + + # Instantiate scheduler + if ( + accelerator.state.deepspeed_plugin is None + or "scheduler" not in accelerator.state.deepspeed_plugin.deepspeed_config + ): + lr_scheduler = get_linear_schedule_with_warmup( + optimizer=optimizer, + num_warmup_steps=0, + num_training_steps=max_training_steps, + ) + else: + lr_scheduler = DummyScheduler(optimizer, total_num_steps=max_training_steps, warmup_num_steps=0) + + # Prepare everything + # There is no specific order to remember, we just need to unpack the objects in the same order we gave them to the + # prepare method. + model, optimizer, train_dataloader, eval_dataloader, lr_scheduler = accelerator.prepare( + model, optimizer, train_dataloader, eval_dataloader, lr_scheduler + ) + + # We need to keep track of how many total steps we have iterated over + overall_step = 0 + # We also need to keep track of the stating epoch so files are named properly + starting_epoch = 0 + + # Now we train the model + train_total_peak_memory = {} + for epoch in range(starting_epoch, num_epochs): + with TorchTracemalloc() as tracemalloc: + model.train() + for step, batch in enumerate(train_dataloader): + outputs = model(**batch) + loss = outputs.loss + loss = loss / gradient_accumulation_steps + accelerator.backward(loss) + if step % gradient_accumulation_steps == 0: + optimizer.step() + lr_scheduler.step() + optimizer.zero_grad() + + overall_step += 1 + + # Printing the GPU memory usage details such as allocated memory, peak memory, and total memory usage + accelerator.print(f"Memory before entering the train : {b2mb(tracemalloc.begin)}") + accelerator.print(f"Memory consumed at the end of the train (end-begin): {tracemalloc.used}") + accelerator.print(f"Peak Memory consumed during the train (max-begin): {tracemalloc.peaked}") + accelerator.print( + f"Total Peak Memory consumed during the train (max): {tracemalloc.peaked + b2mb(tracemalloc.begin)}" + ) + train_total_peak_memory[f"epoch-{epoch}"] = tracemalloc.peaked + b2mb(tracemalloc.begin) + if args.peak_memory_upper_bound is not None: + assert train_total_peak_memory[f"epoch-{epoch}"] <= args.peak_memory_upper_bound, ( + "Peak memory usage exceeded the upper bound" + ) + + accelerator.wait_for_everyone() + if accelerator.is_main_process: + with open(os.path.join(args.output_dir, "peak_memory_utilization.json"), "w") as f: + json.dump(train_total_peak_memory, f) + accelerator.end_training() + + +def main(): + parser = argparse.ArgumentParser(description="Simple example of training script tracking peak GPU memory usage.") + parser.add_argument( + "--model_name_or_path", + type=str, + default="bert-base-cased", + help="Path to pretrained model or model identifier from huggingface.co/models.", + required=False, + ) + parser.add_argument( + "--output_dir", + type=str, + default=".", + help="Optional save directory where all checkpoint folders will be stored. Default is the current working directory.", + ) + parser.add_argument( + "--peak_memory_upper_bound", + type=float, + default=None, + help="The upper bound of peak memory usage in MB. If set, the training will throw an error if the peak memory usage exceeds this value.", + ) + parser.add_argument( + "--n_train", + type=int, + default=320, + help="Number of training examples to use.", + ) + parser.add_argument( + "--n_val", + type=int, + default=160, + help="Number of validation examples to use.", + ) + parser.add_argument( + "--num_epochs", + type=int, + default=1, + help="Number of train epochs.", + ) + args = parser.parse_args() + config = {"lr": 2e-5, "num_epochs": args.num_epochs, "seed": 42, "batch_size": 16} + training_function(config, args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_performance.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_performance.py new file mode 100644 index 0000000000000000000000000000000000000000..8e500bdd4c01013904375f010e99d22aea4e4ff9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_performance.py @@ -0,0 +1,299 @@ +# Copyright 2022 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import argparse +import json +import os +from contextlib import nullcontext +from pathlib import Path + +import evaluate +import torch +from datasets import load_dataset +from torch.optim import AdamW +from torch.utils.data import DataLoader +from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup + +from accelerate import Accelerator, DistributedType +from accelerate.parallelism_config import ParallelismConfig +from accelerate.utils import SAFE_WEIGHTS_NAME, set_seed +from accelerate.utils.deepspeed import DummyOptim, DummyScheduler + + +MAX_GPU_BATCH_SIZE = 16 +EVAL_BATCH_SIZE = 32 + + +def get_dataloaders(accelerator: Accelerator, batch_size: int = 16, model_name: str = "bert-base-cased"): + """ + Creates a set of `DataLoader`s for the `glue` dataset. + + Args: + accelerator (`Accelerator`): + An `Accelerator` object + batch_size (`int`, *optional*): + The batch size for the train and validation DataLoaders. + model_name (`str`, *optional*): + """ + tokenizer = AutoTokenizer.from_pretrained(model_name) + + datasets = load_dataset("glue", "mrpc") + + def tokenize_function(examples): + # max_length=None => use the model max length (it's actually the default) + outputs = tokenizer(examples["sentence1"], examples["sentence2"], truncation=True, max_length=None) + return outputs + + # Apply the method we just defined to all the examples in all the splits of the dataset + tokenized_datasets = datasets.map( + tokenize_function, batched=True, remove_columns=["idx", "sentence1", "sentence2"], load_from_cache_file=False + ) + + # We also rename the 'label' column to 'labels' which is the expected name for labels by the models of the + # transformers library + tokenized_datasets = tokenized_datasets.rename_column("label", "labels") + + def collate_fn(examples): + # On TPU it's best to pad everything to the same length or training will be very slow. + if accelerator.distributed_type == DistributedType.XLA: + return tokenizer.pad(examples, padding="max_length", max_length=128, return_tensors="pt") + return tokenizer.pad(examples, padding="longest", return_tensors="pt") + + # Instantiate dataloaders. + train_dataloader = DataLoader( + tokenized_datasets["train"], shuffle=True, collate_fn=collate_fn, batch_size=batch_size + ) + eval_dataloader = DataLoader( + tokenized_datasets["validation"], shuffle=False, collate_fn=collate_fn, batch_size=EVAL_BATCH_SIZE + ) + + return train_dataloader, eval_dataloader + + +def training_function(config, args): + accelerator_kwargs = {} + # need this for DeepSpeed tests as `args.tp_size` would be None and `torch.distributed.init_device_mesh` would fail + if args.tp_size is not None: + accelerator_kwargs["parallelism_config"] = ParallelismConfig(tp_size=args.tp_size) + + # Initialize accelerator + accelerator = Accelerator(**accelerator_kwargs) + + # Sample hyper-parameters for learning rate, batch size, seed and a few other HPs + lr = config["lr"] + num_epochs = int(config["num_epochs"]) + seed = int(config["seed"]) + batch_size = int(config["batch_size"]) + model_name = args.model_name_or_path + + set_seed(seed) + train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size, model_name) + + # Add TP related kwargs if provided + model_kwargs = {} + if args.tp_plan is not None: + model_kwargs["tp_plan"] = args.tp_plan + if args.tp_size is not None: + model_kwargs["tp_size"] = args.tp_size + + # Instantiate the model (we build the model here so that the seed also control new weights initialization) + model = AutoModelForSequenceClassification.from_pretrained(model_name, return_dict=True, **model_kwargs) + + if args.add_pad_token: + if model.config.pad_token_id is None: + model.config.pad_token_id = 0 + + # Instantiate optimizer + optimizer_cls = ( + AdamW + if accelerator.state.deepspeed_plugin is None + or "optimizer" not in accelerator.state.deepspeed_plugin.deepspeed_config + else DummyOptim + ) + optimizer = optimizer_cls(params=model.parameters(), lr=lr) + + max_training_steps = len(train_dataloader) * num_epochs + + # Instantiate scheduler + linear_decay_scheduler = False + if ( + accelerator.state.deepspeed_plugin is None + or "scheduler" not in accelerator.state.deepspeed_plugin.deepspeed_config + ): + lr_scheduler = get_linear_schedule_with_warmup( + optimizer=optimizer, + num_warmup_steps=0, + num_training_steps=max_training_steps, + ) + linear_decay_scheduler = True + else: + lr_scheduler = DummyScheduler(optimizer, total_num_steps=max_training_steps, warmup_num_steps=0) + + # Prepare everything + # There is no specific order to remember, we just need to unpack the objects in the same order we gave them to the + # prepare method. + model, optimizer, train_dataloader, eval_dataloader, lr_scheduler = accelerator.prepare( + model, optimizer, train_dataloader, eval_dataloader, lr_scheduler + ) + + # We also need to keep track of the stating epoch so files are named properly + starting_epoch = 0 + + # Now we train the model + metric = evaluate.load("glue", "mrpc") + best_performance = 0 + performance_metric = {} + expected_lr_after_first_optim_step = lr * ( + 1 - 1 / (max_training_steps / accelerator.num_processes / accelerator.gradient_accumulation_steps) + ) + lr_scheduler_check_completed = False + for epoch in range(starting_epoch, num_epochs): + model.train() + for step, batch in enumerate(train_dataloader): + with accelerator.accumulate(model): + outputs = model(**batch) + loss = outputs.loss + accelerator.backward(loss) + context = nullcontext + if args.tp_plan is not None: + from torch.distributed._tensor.experimental import implicit_replication + + context = implicit_replication + with context(): + optimizer.step() + lr_scheduler.step() + optimizer.zero_grad() + + # assert the learning rate after first optimizer step + if ( + accelerator.sync_gradients + and not lr_scheduler_check_completed + and linear_decay_scheduler + and accelerator.state.mixed_precision == "no" + ): + assert lr_scheduler.get_last_lr()[0] == expected_lr_after_first_optim_step, ( + f"Wrong lr found at second step, expected {expected_lr_after_first_optim_step}, got {lr_scheduler.get_last_lr()[0]}" + ) + lr_scheduler_check_completed = True + + model.eval() + samples_seen = 0 + for step, batch in enumerate(eval_dataloader): + # We could avoid this line since we set the accelerator with `device_placement=True`. + batch.to(accelerator.device) + with torch.no_grad(): + outputs = model(**batch) + predictions = outputs.logits.argmax(dim=-1) + # It is slightly faster to call this once, than multiple times + predictions, references = accelerator.gather( + (predictions, batch["labels"]) + ) # If we are in a multiprocess environment, the last batch has duplicates + if accelerator.use_distributed: + if step == len(eval_dataloader) - 1: + predictions = predictions[: len(eval_dataloader.dataset) - samples_seen] + references = references[: len(eval_dataloader.dataset) - samples_seen] + else: + samples_seen += references.shape[0] + metric.add_batch( + predictions=predictions, + references=references, + ) + + eval_metric = metric.compute() + # Use accelerator.print to print only on the main process. + accelerator.print(f"epoch {epoch}:", eval_metric) + performance_metric[f"epoch-{epoch}"] = eval_metric["accuracy"] + + if best_performance < eval_metric["accuracy"]: + best_performance = eval_metric["accuracy"] + + # check that the LR is 0 + if linear_decay_scheduler and accelerator.state.mixed_precision == "no": + assert lr_scheduler.get_last_lr()[0] == 0, ( + f"Wrong lr found at last step, expected 0, got {lr_scheduler.get_last_lr()[0]}" + ) + + if args.performance_lower_bound is not None: + assert args.performance_lower_bound <= best_performance, ( + f"Best performance metric {best_performance} is lower than the lower bound {args.performance_lower_bound}" + ) + + accelerator.wait_for_everyone() + if accelerator.is_main_process: + with open(os.path.join(args.output_dir, "all_results.json"), "w") as f: + json.dump(performance_metric, f) + + # TODO: skip saving of the model test for TP until the feature lands + if args.tp_plan is None: + # Finally try saving the model + accelerator.save_model(model, args.output_dir) + accelerator.wait_for_everyone() + if args.tp_plan is None: + assert Path(args.output_dir, SAFE_WEIGHTS_NAME).exists(), ( + "Model was not saved when calling `Accelerator.save_model`" + ) + accelerator.end_training() + + +def main(): + parser = argparse.ArgumentParser(description="Simple example of training script tracking peak GPU memory usage.") + parser.add_argument( + "--model_name_or_path", + type=str, + default="bert-base-cased", + help="Path to pretrained model or model identifier from huggingface.co/models.", + required=False, + ) + parser.add_argument( + "--output_dir", + type=str, + default=".", + help="Optional save directory where all checkpoint folders will be stored. Default is the current working directory.", + ) + parser.add_argument( + "--performance_lower_bound", + type=float, + default=None, + help="Optional lower bound for the performance metric. If set, the training will throw error when the performance metric drops below this value.", + ) + parser.add_argument( + "--num_epochs", + type=int, + default=3, + help="Number of train epochs.", + ) + parser.add_argument( + "--add_pad_token", + type=bool, + default=False, + help="To add pad token if not exists.", + ) + parser.add_argument( + "--tp_plan", + type=str, + default=None, + help="pass 'auto' to use TP", + ) + parser.add_argument( + "--tp_size", + type=int, + default=None, + help="TP size to be used to shard the model", + ) + args = parser.parse_args() + config = {"lr": 2e-5, "num_epochs": args.num_epochs, "seed": 42, "batch_size": 16} + training_function(config, args) + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_pippy.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_pippy.py new file mode 100644 index 0000000000000000000000000000000000000000..1dbd86c46b4a0c12df8ea4d736c7cd1e03f81813 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_pippy.py @@ -0,0 +1,117 @@ +# Copyright 2024 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import torch +from transformers import ( + BertConfig, + BertForMaskedLM, + GPT2Config, + GPT2ForSequenceClassification, +) + +from accelerate import PartialState +from accelerate.inference import prepare_pippy +from accelerate.test_utils import torch_device +from accelerate.utils import DistributedType, set_seed + + +model_to_config = { + "bert": (BertForMaskedLM, BertConfig, 512), + "gpt2": (GPT2ForSequenceClassification, GPT2Config, 1024), +} + + +def get_model_and_data_for_text(model_name, device, num_processes: int = 2): + initializer, config, seq_len = model_to_config[model_name] + config_args = {} + # Eventually needed for batch inference tests on gpt-2 when bs != 1 + # if model_name == "gpt2": + # config_args["pad_token_id"] = 0 + model_config = config(**config_args) + model = initializer(model_config) + kwargs = dict(low=0, high=model_config.vocab_size, device=device, dtype=torch.int64, requires_grad=False) + trace_input = torch.randint(size=(1, seq_len), **kwargs) + inference_inputs = torch.randint(size=(num_processes, seq_len), **kwargs) + return model, trace_input, inference_inputs + + +def test_bert(batch_size: int = 2): + set_seed(42) + state = PartialState() + model, trace_input, inference_inputs = get_model_and_data_for_text("bert", "cpu", batch_size) + model = prepare_pippy(model, example_args=(trace_input,), no_split_module_classes=model._no_split_modules) + # For inference args need to be a tuple + inputs = inference_inputs.to(torch_device) + with torch.no_grad(): + output = model(inputs) + # Zach: Check that we just grab the real outputs we need at the end + if not state.is_last_process: + assert output is None, "Output was not generated on just the last process!" + else: + assert output is not None, "Output was not generated in the last process!" + + +def test_gpt2(batch_size: int = 2): + set_seed(42) + state = PartialState() + model, trace_input, inference_inputs = get_model_and_data_for_text("gpt2", "cpu", batch_size) + model = prepare_pippy(model, example_args=(trace_input,), no_split_module_classes=model._no_split_modules) + # For inference args need to be a tuple + inputs = inference_inputs.to(torch_device) + with torch.no_grad(): + output = model(inputs) + # Zach: Check that we just grab the real outputs we need at the end + if not state.is_last_process: + assert output is None, "Output was not generated on just the last process!" + else: + assert output is not None, "Output was not generated in the last process!" + + +# Currently disabled, enable again once PyTorch pippy interface can trace a resnet34 +# def test_resnet(batch_size: int = 2): +# set_seed(42) +# state = PartialState() +# model = resnet34() +# input_tensor = torch.rand(1, 3, 224, 224) +# model = prepare_pippy( +# model, +# example_args=(input_tensor,), +# ) +# inference_inputs = torch.rand(batch_size, 3, 224, 224) +# inputs = send_to_device(inference_inputs, torch_device) +# with torch.no_grad(): +# output = model(inputs) +# # Zach: Check that we just grab the real outputs we need at the end +# if not state.is_last_process: +# assert output is None, "Output was not generated on just the last process!" +# else: +# assert output is not None, "Output was not generated in the last process!" + + +if __name__ == "__main__": + state = PartialState() + state.print("Testing pippy integration...") + try: + if state.distributed_type in [DistributedType.MULTI_GPU, DistributedType.MULTI_XPU, DistributedType.MULTI_HPU]: + state.print("Testing GPT2...") + test_gpt2() + # Issue: When modifying the tokenizer for batch GPT2 inference, there's an issue + # due to references + # NameError: cannot access free variable 'chunk_args_list' where it is not associated with a value in enclosing scope + # test_gpt2(3) + state.print("Testing BERT...") + test_bert() + else: + print("Less than two GPUs found, not running tests!") + finally: + state.destroy_process_group() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_zero3_integration.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_zero3_integration.py new file mode 100644 index 0000000000000000000000000000000000000000..f6e46d342a0c754cf1ed5b2629290d62e7c943aa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/external_deps/test_zero3_integration.py @@ -0,0 +1,59 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import torch.distributed + +from accelerate.test_utils import require_huggingface_suite, torch_device +from accelerate.utils import is_transformers_available + + +if is_transformers_available(): + from transformers import AutoModel, TrainingArguments + + +GPT2_TINY = "sshleifer/tiny-gpt2" + + +@require_huggingface_suite +def init_torch_dist_then_launch_deepspeed(): + if torch_device == "xpu": + backend = "xccl" + elif torch_device == "hpu": + backend = "hccl" + else: + backend = "nccl" + + torch.distributed.init_process_group(backend=backend) + deepspeed_config = { + "zero_optimization": { + "stage": 3, + }, + "train_batch_size": "auto", + "train_micro_batch_size_per_gpu": "auto", + } + train_args = TrainingArguments( + output_dir="./", + deepspeed=deepspeed_config, + ) + model = AutoModel.from_pretrained(GPT2_TINY) + assert train_args is not None + assert model is not None + + +def main(): + init_torch_dist_then_launch_deepspeed() + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_cli.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_cli.py new file mode 100644 index 0000000000000000000000000000000000000000..fc9dd1d36e8f2949d6e3cebb8ce65efbf0b9e5e4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_cli.py @@ -0,0 +1,32 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import torch + +from accelerate.utils import is_xpu_available + + +def main(): + accelerator_type = "GPU" + num_accelerators = 0 + if torch.cuda.is_available(): + num_accelerators = torch.cuda.device_count() + accelerator_type = "GPU" + elif is_xpu_available(): + num_accelerators = torch.xpu.device_count() + accelerator_type = "XPU" + print(f"Successfully ran on {num_accelerators} {accelerator_type}s") + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_ddp_comm_hook.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_ddp_comm_hook.py new file mode 100644 index 0000000000000000000000000000000000000000..0db5844e026d1c035670e518a8f81d33136ea665 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_ddp_comm_hook.py @@ -0,0 +1,85 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import torch + +from accelerate import Accelerator, DDPCommunicationHookType, DistributedDataParallelKwargs, PartialState +from accelerate.utils import is_hpu_available + + +class MockModel(torch.nn.Module): + def __init__(self): + super().__init__() + torch.manual_seed(0) + self.p = torch.nn.Parameter(torch.randn(40, 20)) + + def forward(self, x, rank): + return self.p * (x ** (1 + rank)) + + +def _run_and_get_grads(model, rank): + torch.manual_seed(2024) + input = torch.randn(40, 20) + output = model(input, rank) + output.mean().backward() + param = next(model.parameters()) + return param.grad + + +def test_ddp_comm_hook(comm_hook, comm_wrapper, comm_state_option): + ddp_kwargs = DistributedDataParallelKwargs( + comm_hook=comm_hook, + comm_wrapper=comm_wrapper, + comm_state_option=comm_state_option, + ) + accelerator = Accelerator(kwargs_handlers=[ddp_kwargs]) + + model = accelerator.prepare(MockModel()) + hook_grads = _run_and_get_grads(model, accelerator.local_process_index) + + reference_model = torch.nn.parallel.DistributedDataParallel( + MockModel().to(accelerator.device), + device_ids=[accelerator.local_process_index], + output_device=accelerator.local_process_index, + ) + reference_grads = _run_and_get_grads(reference_model, accelerator.local_process_index) + + torch.testing.assert_close(hook_grads, reference_grads, rtol=1e-2, atol=1e-2) + + +def main(): + for comm_hook, comm_wrapper, comm_state_option in [ + (DDPCommunicationHookType.NO, DDPCommunicationHookType.NO, {}), + (DDPCommunicationHookType.FP16, DDPCommunicationHookType.NO, {}), + (DDPCommunicationHookType.BF16, DDPCommunicationHookType.NO, {}), + (DDPCommunicationHookType.POWER_SGD, DDPCommunicationHookType.NO, {}), + (DDPCommunicationHookType.POWER_SGD, DDPCommunicationHookType.FP16, {}), + (DDPCommunicationHookType.POWER_SGD, DDPCommunicationHookType.BF16, {}), + (DDPCommunicationHookType.POWER_SGD, DDPCommunicationHookType.NO, {"matrix_approximation_rank": 2}), + (DDPCommunicationHookType.BATCHED_POWER_SGD, DDPCommunicationHookType.NO, {}), + (DDPCommunicationHookType.BATCHED_POWER_SGD, DDPCommunicationHookType.FP16, {}), + (DDPCommunicationHookType.BATCHED_POWER_SGD, DDPCommunicationHookType.BF16, {}), + ]: + if is_hpu_available(): + HPU_UNSUPPORTED_COMM_HOOKS = {DDPCommunicationHookType.FP16, DDPCommunicationHookType.BF16} + if comm_hook in HPU_UNSUPPORTED_COMM_HOOKS or comm_wrapper in HPU_UNSUPPORTED_COMM_HOOKS: + print(f"Skipping test DDP comm hook: {comm_hook}, comm wrapper: {comm_wrapper} on HPU") + continue + + print(f"Test DDP comm hook: {comm_hook}, comm wrapper: {comm_wrapper}") + test_ddp_comm_hook(comm_hook, comm_wrapper, comm_state_option) + PartialState().destroy_process_group() + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_distributed_data_loop.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_distributed_data_loop.py new file mode 100644 index 0000000000000000000000000000000000000000..08cbbeb844bcc3189c99d328580c251aeafc2052 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_distributed_data_loop.py @@ -0,0 +1,410 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import pickle +import tempfile +import warnings +from unittest.mock import Mock + +import torch +from torch.utils.data import ( + BatchSampler, + DataLoader, + Dataset, + IterableDataset, + RandomSampler, + TensorDataset, + default_collate, +) + +from accelerate.accelerator import Accelerator, DataLoaderConfiguration +from accelerate.utils.dataclasses import DistributedType + + +NUM_ELEMENTS = 22 +NUM_WORKERS = 4 +BATCH_SIZE = 4 + + +class DummyDataset(Dataset): + def __len__(self): + return NUM_ELEMENTS + + def __getitem__(self, index): + squeeze = False + + if isinstance(index, int): + index = [index] + squeeze = True + elif isinstance(index, slice): + index = list(range(*index.indices(self.size))) + else: + index = list(index) + + batch = [{"index": i, "label": i % 2, "random_augmentation": torch.rand(1).item()} for i in index] + + if squeeze: + batch = batch[0] + + return batch + + +class DummyIterableDataset(IterableDataset): + def __init__(self, data): + self.data = data + + def __iter__(self): + yield from self.data + + +def create_accelerator(even_batches=True): + dataloader_config = DataLoaderConfiguration(even_batches=even_batches) + accelerator = Accelerator(dataloader_config=dataloader_config) + assert accelerator.num_processes == 2, "this script expects that two GPUs are available" + return accelerator + + +def create_dataloader( + accelerator: Accelerator, dataset_size: int, batch_size: int, iterable: bool = False, shuffle: bool = False +): + """ + Create a simple DataLoader to use during the test cases + """ + values = torch.as_tensor(range(dataset_size)) + if shuffle: + values = values[torch.randperm(values.size(0))] + if iterable: + dataset = DummyIterableDataset(values) + else: + dataset = TensorDataset(torch.as_tensor(range(dataset_size))) + + dl = DataLoader(dataset, batch_size=batch_size) + dl = accelerator.prepare(dl) + + return dl + + +def verify_dataloader_batch_sizes( + accelerator: Accelerator, + dataset_size: int, + batch_size: int, + process_0_expected_batch_sizes: list[int], + process_1_expected_batch_sizes: list[int], +): + """ + A helper function for verifying the batch sizes coming from a prepared dataloader in each process + """ + dl = create_dataloader(accelerator=accelerator, dataset_size=dataset_size, batch_size=batch_size) + + batch_sizes = [len(batch[0]) for batch in dl] + + if accelerator.process_index == 0: + assert batch_sizes == process_0_expected_batch_sizes + elif accelerator.process_index == 1: + assert batch_sizes == process_1_expected_batch_sizes + + +def test_default_ensures_even_batch_sizes(): + accelerator = create_accelerator() + + # without padding, we would expect a different number of batches + verify_dataloader_batch_sizes( + accelerator, + dataset_size=3, + batch_size=1, + process_0_expected_batch_sizes=[1, 1], + process_1_expected_batch_sizes=[1, 1], + ) + + # without padding, we would expect the same number of batches, but different sizes + verify_dataloader_batch_sizes( + accelerator, + dataset_size=7, + batch_size=2, + process_0_expected_batch_sizes=[2, 2], + process_1_expected_batch_sizes=[2, 2], + ) + + +def test_can_disable_even_batches(): + accelerator = create_accelerator(even_batches=False) + + verify_dataloader_batch_sizes( + accelerator, + dataset_size=3, + batch_size=1, + process_0_expected_batch_sizes=[1, 1], + process_1_expected_batch_sizes=[1], + ) + + verify_dataloader_batch_sizes( + accelerator, + dataset_size=7, + batch_size=2, + process_0_expected_batch_sizes=[2, 2], + process_1_expected_batch_sizes=[2, 1], + ) + + +def test_can_join_uneven_inputs(): + accelerator = create_accelerator(even_batches=False) + + model = torch.nn.Linear(1, 1) + ddp_model = accelerator.prepare(model) + + dl = create_dataloader(accelerator, dataset_size=3, batch_size=1) + + batch_idxs = [] + with accelerator.join_uneven_inputs([ddp_model]): + for batch_idx, batch in enumerate(dl): + output = ddp_model(batch[0].float()) + loss = output.sum() + loss.backward() + batch_idxs.append(batch_idx) + + accelerator.wait_for_everyone() + + if accelerator.process_index == 0: + assert batch_idxs == [0, 1] + elif accelerator.process_index == 1: + assert batch_idxs == [0] + + +def test_join_raises_warning_for_non_ddp_distributed(accelerator): + with warnings.catch_warnings(record=True) as w: + with accelerator.join_uneven_inputs([Mock()]): + pass + + assert issubclass(w[-1].category, UserWarning) + assert "only supported for multi-GPU" in str(w[-1].message) + + +def test_join_can_override_even_batches(): + default_even_batches = True + overridden_even_batches = False + accelerator = create_accelerator(even_batches=default_even_batches) + model = torch.nn.Linear(1, 1) + ddp_model = accelerator.prepare(model) + train_dl = create_dataloader(accelerator, dataset_size=3, batch_size=1) + valid_dl = create_dataloader(accelerator, dataset_size=3, batch_size=1) + + with accelerator.join_uneven_inputs([ddp_model], even_batches=overridden_even_batches): + train_dl_overridden_value = train_dl.batch_sampler.even_batches + valid_dl_overridden_value = valid_dl.batch_sampler.even_batches + + assert train_dl_overridden_value == overridden_even_batches + assert valid_dl_overridden_value == overridden_even_batches + assert train_dl.batch_sampler.even_batches == default_even_batches + assert valid_dl.batch_sampler.even_batches == default_even_batches + + +def test_join_can_override_for_mixed_type_dataloaders(): + default_even_batches = True + overridden_even_batches = False + accelerator = create_accelerator(even_batches=default_even_batches) + model = torch.nn.Linear(1, 1) + ddp_model = accelerator.prepare(model) + create_dataloader(accelerator, dataset_size=3, batch_size=1, iterable=True) + batch_dl = create_dataloader(accelerator, dataset_size=3, batch_size=1) + + with warnings.catch_warnings(): + warnings.filterwarnings("ignore") + try: + with accelerator.join_uneven_inputs([ddp_model], even_batches=overridden_even_batches): + batch_dl_overridden_value = batch_dl.batch_sampler.even_batches + except AttributeError: + # ensure attribute error is not raised when processing iterable dl + raise AssertionError + + assert batch_dl_overridden_value == overridden_even_batches + assert batch_dl.batch_sampler.even_batches == default_even_batches + + +def test_join_raises_warning_for_iterable_when_overriding_even_batches(): + accelerator = create_accelerator() + model = torch.nn.Linear(1, 1) + ddp_model = accelerator.prepare(model) + create_dataloader(accelerator, dataset_size=3, batch_size=1, iterable=True) + + with warnings.catch_warnings(record=True) as w: + with accelerator.join_uneven_inputs([ddp_model], even_batches=False): + pass + + assert issubclass(w[-1].category, UserWarning) + assert "only supported for map-style datasets" in str(w[-1].message) + + +def test_pickle_accelerator(): + accelerator = create_accelerator() + data_loader = create_dataloader(accelerator, dataset_size=32, batch_size=4) + _ = accelerator.prepare(data_loader) + pickled_accelerator = pickle.dumps(accelerator) + unpickled_accelerator = pickle.loads(pickled_accelerator) + # TODO: Maybe this should be implemented as __eq__ for AcceleratorState? + assert accelerator.state.__dict__ == unpickled_accelerator.state.__dict__ + + +def test_data_loader(data_loader, accelerator): + # Prepare the DataLoader + data_loader = accelerator.prepare(data_loader) + + all_examples = [] + for i, batch in enumerate(data_loader): + index, _ = accelerator.gather_for_metrics((batch["index"], batch["label"])) + all_examples.extend(index.detach().cpu().numpy().tolist()) + + # Sort the examples + sorted_all_examples = sorted(all_examples) + + # Check if all elements are present in the sorted list of iterated samples + assert len(set(sorted_all_examples)) == NUM_ELEMENTS, ( + "Not all the dataset elements have been iterated in an epoch due to duplication of samples across processes." + ) + + +def test_stateful_dataloader(accelerator): + """ + Tests that a stateful dataloader can be iterated over, saved after a few batches using `load_state_dict`, and then + resumed from the saved state. + + The result should be the same as the rest of the data that iterated over after saving. + """ + old_dataloader_config = accelerator.dataloader_config + try: + accelerator.dataloader_config = DataLoaderConfiguration(use_stateful_dataloader=True) + prepared_dl = create_dataloader( + accelerator, dataset_size=32 * accelerator.num_processes, batch_size=4, iterable=True, shuffle=True + ) + untrained_batches = [] + # Calculate what step that will be + total_batches = 32 * accelerator.num_processes // (4 * accelerator.num_processes) + last_batch_num = total_batches - 1 + for step, batch in enumerate(prepared_dl): + # Step just before + if step == last_batch_num - 1: + state_dict = prepared_dl.state_dict() + if step >= last_batch_num: + # Otherwise grab the "unseen" batches + untrained_batches.append(batch) + not_skipped_batches = accelerator.gather(untrained_batches) + prepared_dl.load_state_dict(state_dict) + resumed_batches = [] + for batch in prepared_dl: + resumed_batches.append(batch) + resumed_batches = accelerator.gather(resumed_batches) + for b1, b2 in zip(not_skipped_batches, resumed_batches): + for v1, v2 in zip(b1, b2): + assert torch.equal(v1, v2), f"Batch {b1} and {b2} are not equal" + finally: + accelerator.dataloader_config = old_dataloader_config + + +def test_stateful_dataloader_save_state(accelerator): + """ + Tests that a stateful dataloader can be iterated over, saved after a few batches using `Accelerator.save_state`, + and then resumed from the saved state. + + The result should be the same as the rest of the data that iterated over after saving. + """ + old_dataloader_config = accelerator.dataloader_config + try: + with tempfile.TemporaryDirectory() as tmpdir: + accelerator.dataloader_config = DataLoaderConfiguration(use_stateful_dataloader=True) + prepared_dl = create_dataloader( + accelerator, dataset_size=32 * accelerator.num_processes, batch_size=4, iterable=True, shuffle=True + ) + untrained_batches = [] + # Calculate what step that will be + total_batches = 32 * accelerator.num_processes // (4 * accelerator.num_processes) + last_batch_num = total_batches - 1 + for step, batch in enumerate(prepared_dl): + # Step just before + if step == last_batch_num - 1: + accelerator.save_state(tmpdir) + if step >= last_batch_num: + # Otherwise grab the "unseen" batches + untrained_batches.append(batch) + not_skipped_batches = accelerator.gather(untrained_batches) + accelerator.load_state(tmpdir) + resumed_batches = [] + for batch in prepared_dl: + resumed_batches.append(batch) + resumed_batches = accelerator.gather(resumed_batches) + for b1, b2 in zip(not_skipped_batches, resumed_batches): + for v1, v2 in zip(b1, b2): + assert torch.equal(v1, v2), f"Batch {b1} and {b2} are not equal" + finally: + accelerator.dataloader_config = old_dataloader_config + + +def main(): + accelerator = create_accelerator() + torch.manual_seed(accelerator.process_index) + + accelerator.print("Test that even_batches variable ensures uniform batches across processes") + test_default_ensures_even_batch_sizes() + + accelerator.print("Run tests with even_batches disabled") + test_can_disable_even_batches() + + accelerator.print("Test joining uneven inputs") + test_can_join_uneven_inputs() + + accelerator.print("Test overriding even_batches when joining uneven inputs") + test_join_can_override_even_batches() + + accelerator.print("Test overriding even_batches for mixed dataloader types") + test_join_can_override_for_mixed_type_dataloaders() + + accelerator.print("Test overriding even_batches raises a warning for iterable dataloaders") + test_join_raises_warning_for_iterable_when_overriding_even_batches() + + accelerator.print("Test join with non DDP distributed raises warning") + original_state = accelerator.state.distributed_type + accelerator.state.distributed_type = DistributedType.FSDP + test_join_raises_warning_for_non_ddp_distributed(accelerator) + accelerator.state.distributed_type = original_state + + accelerator.print("Test pickling an accelerator") + test_pickle_accelerator() + + dataset = DummyDataset() + + accelerator.print("Test DataLoader with shuffle=False") + loader = DataLoader(dataset, shuffle=False, batch_size=BATCH_SIZE, num_workers=NUM_WORKERS) + test_data_loader(loader, accelerator) + + accelerator.print("Test DataLoader with shuffle=True") + loader = DataLoader(dataset, shuffle=True, batch_size=BATCH_SIZE, num_workers=NUM_WORKERS) + test_data_loader(loader, accelerator) + + accelerator.print("Test DataLoader with batch_sampler") + sampler = BatchSampler(RandomSampler(dataset), batch_size=BATCH_SIZE, drop_last=False) + loader = DataLoader(dataset, batch_sampler=sampler, num_workers=NUM_WORKERS) + test_data_loader(loader, accelerator) + + accelerator.print("Test DataLoader with sampler as an instance of `BatchSampler`") + sampler = BatchSampler(RandomSampler(dataset), batch_size=BATCH_SIZE, drop_last=False) + loader = DataLoader(dataset, sampler=sampler, batch_size=None, collate_fn=default_collate, num_workers=NUM_WORKERS) + test_data_loader(loader, accelerator) + test_stateful_dataloader(accelerator) + test_stateful_dataloader_save_state(accelerator) + + accelerator.end_training() + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_merge_weights.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_merge_weights.py new file mode 100644 index 0000000000000000000000000000000000000000..f280c8fa17919367001389a8efcd78faaa041f0c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_merge_weights.py @@ -0,0 +1,158 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import gc +import logging +import shutil +from pathlib import Path + +import torch +from safetensors.torch import load_file +from torch.distributed.fsdp.fully_sharded_data_parallel import ShardingStrategy, StateDictType +from torch.utils.data import DataLoader + +from accelerate import Accelerator, FullyShardedDataParallelPlugin +from accelerate.commands.merge import merge_command, merge_command_parser +from accelerate.state import AcceleratorState +from accelerate.test_utils import torch_device +from accelerate.test_utils.training import RegressionDataset +from accelerate.utils import merge_fsdp_weights, patch_environment, save_fsdp_model + + +logging.basicConfig(level=logging.INFO) + +parser = merge_command_parser() + + +class TinyModel(torch.nn.Module): + def __init__(self): + super().__init__() + self.linear1 = torch.nn.Linear(16, 16) + self.activation = torch.nn.ReLU() + self.linear2 = torch.nn.Linear(16, 16) + self.softmax = torch.nn.Softmax() + + def forward(self, x): + return self.linear2(self.activation(self.linear1(x))) + + +def setup(): + if AcceleratorState._shared_state != {}: + AcceleratorState()._reset_state() + plugin = FullyShardedDataParallelPlugin( + sharding_strategy=ShardingStrategy.FULL_SHARD, state_dict_type=StateDictType.SHARDED_STATE_DICT + ) + model = TinyModel() + with patch_environment(fsdp_auto_wrap_policy="SIZE_BASED_WRAP"): + plugin.set_auto_wrap_policy(model) + accelerator = Accelerator(fsdp_plugin=plugin) + model = accelerator.prepare(model) + return model, plugin, accelerator + + +def mock_training(accelerator, model): + train_set = RegressionDataset(length=128, seed=42) + train_dl = DataLoader(train_set, batch_size=16, shuffle=False) + optimizer = torch.optim.SGD(model.parameters(), lr=0.1) + + train_dl, model, optimizer = accelerator.prepare(train_dl, model, optimizer) + for _ in range(3): + for batch in train_dl: + model.zero_grad() + output = model(batch["x"]) + loss = torch.nn.functional.mse_loss(output, batch["y"]) + accelerator.backward(loss) + optimizer.step() + return model + + +def check_weights(operation, state_1, state_2): + for weight_1, weight_2 in zip(state_1.values(), state_2.values()): + if operation == "same": + assert torch.allclose(weight_1, weight_2) + else: + assert not torch.allclose(weight_1, weight_2) + + +def check_safetensors_weights(path, model): + safe_state_dict = load_file(path / "model.safetensors") + safe_loaded_model = TinyModel().to(torch_device) + check_weights("diff", model.state_dict(), safe_loaded_model.state_dict()) + safe_loaded_model.load_state_dict(safe_state_dict) + check_weights("same", model.state_dict(), safe_loaded_model.state_dict()) + + +def check_pytorch_weights(path, model): + nonsafe_state_dict = torch.load(path / "pytorch_model.bin", weights_only=True) + nonsafe_loaded_model = TinyModel().to(torch_device) + check_weights("diff", model.state_dict(), nonsafe_loaded_model.state_dict()) + nonsafe_loaded_model.load_state_dict(nonsafe_state_dict) + check_weights("same", model.state_dict(), nonsafe_loaded_model.state_dict()) + + +def test_merge_weights_safetensors(model, path): + # Should now be saved at `path/merged.safetensors` + merge_fsdp_weights(path / "pytorch_model_fsdp_0", path, safe_serialization=True) + check_safetensors_weights(path, model) + + +def test_merge_weights_command_safetensors(model, path): + args = parser.parse_args([str(path / "pytorch_model_fsdp_0"), str(path)]) + merge_command(args) + check_safetensors_weights(path, model) + + +def test_merge_weights_pytorch(model, path): + # Should now be saved at `path/merged.bin` + merge_fsdp_weights(path / "pytorch_model_fsdp_0", path, safe_serialization=False) + check_pytorch_weights(path, model) + + +def test_merge_weights_command_pytorch(model, path): + args = parser.parse_args([str(path / "pytorch_model_fsdp_0"), str(path), "--unsafe_serialization"]) + merge_command(args) + check_pytorch_weights(path, model) + + +if __name__ == "__main__": + # Note this test requires at least two accelerators! + model, plugin, accelerator = setup() + if accelerator.num_processes > 1: + try: + # Initial setup for things + out_path = Path("test_merge_weights_fsdp_weights") + if not out_path.exists(): + out_path.mkdir(parents=True, exist_ok=True) + + # Train briefly once weights aren't the baseline + model = mock_training(accelerator, model) + accelerator.wait_for_everyone() + + gc.collect() # Needed for some lingering refs after training + save_fsdp_model(plugin, accelerator, model, out_path) + accelerator.wait_for_everyone() + + # Finally we can test + test_merge_weights_safetensors(model, out_path) + test_merge_weights_command_safetensors(model, out_path) + test_merge_weights_pytorch(model, out_path) + test_merge_weights_command_pytorch(model, out_path) + except Exception: + raise + finally: + # Cleanup in case of any failures + if accelerator.is_main_process: + shutil.rmtree(out_path) + accelerator.wait_for_everyone() + accelerator.end_training() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_notebook.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_notebook.py new file mode 100644 index 0000000000000000000000000000000000000000..267c11b50b22250e781f94e3643b8895cc6aeb02 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_notebook.py @@ -0,0 +1,118 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Test file to ensure that in general certain situational setups for notebooks work. +""" + +import os +import time +from multiprocessing import Queue + +from pytest import mark, raises +from torch.distributed.elastic.multiprocessing.errors import ChildFailedError + +from accelerate import PartialState, notebook_launcher +from accelerate.test_utils import require_bnb +from accelerate.utils import is_bnb_available + + +def basic_function(): + # Just prints the PartialState + print(f"PartialState:\n{PartialState()}") + + +def tough_nut_function(queue: Queue): + if queue.empty(): + return + trial = queue.get() + if trial > 0: + queue.put(trial - 1) + raise RuntimeError("The nut hasn't cracked yet! Try again.") + + print(f"PartialState:\n{PartialState()}") + + +def bipolar_sleep_function(sleep_sec: int): + state = PartialState() + if state.process_index % 2 == 0: + raise RuntimeError("I'm an even process. I don't like to sleep.") + else: + time.sleep(sleep_sec) + + +NUM_PROCESSES = int(os.environ.get("ACCELERATE_NUM_PROCESSES", 1)) + + +def test_can_initialize(): + notebook_launcher(basic_function, (), num_processes=NUM_PROCESSES) + + +@mark.skipif(NUM_PROCESSES < 2, reason="Need at least 2 processes to test static rendezvous backends") +def test_static_rdzv_backend(): + notebook_launcher(basic_function, (), num_processes=NUM_PROCESSES, rdzv_backend="static") + + +@mark.skipif(NUM_PROCESSES < 2, reason="Need at least 2 processes to test c10d rendezvous backends") +def test_c10d_rdzv_backend(): + notebook_launcher(basic_function, (), num_processes=NUM_PROCESSES, rdzv_backend="c10d") + + +@mark.skipif(NUM_PROCESSES < 2, reason="Need at least 2 processes to test fault tolerance") +def test_fault_tolerant(max_restarts: int = 3): + queue = Queue() + queue.put(max_restarts) + notebook_launcher(tough_nut_function, (queue,), num_processes=NUM_PROCESSES, max_restarts=max_restarts) + + +@mark.skipif(NUM_PROCESSES < 2, reason="Need at least 2 processes to test monitoring") +def test_monitoring(monitor_interval: float = 0.01, sleep_sec: int = 100): + start_time = time.time() + with raises(ChildFailedError, match="I'm an even process. I don't like to sleep."): + notebook_launcher( + bipolar_sleep_function, + (sleep_sec,), + num_processes=NUM_PROCESSES, + monitor_interval=monitor_interval, + ) + assert time.time() - start_time < sleep_sec, "Monitoring did not stop the process in time." + + +@require_bnb +def test_problematic_imports(): + with raises(RuntimeError, match="Please keep these imports"): + import bitsandbytes as bnb # noqa: F401 + + notebook_launcher(basic_function, (), num_processes=NUM_PROCESSES) + + +def main(): + print("Test basic notebook can be ran") + test_can_initialize() + print("Test static rendezvous backend") + test_static_rdzv_backend() + print("Test c10d rendezvous backend") + test_c10d_rdzv_backend() + print("Test fault tolerant") + test_fault_tolerant() + print("Test monitoring") + test_monitoring() + if is_bnb_available(): + print("Test problematic imports (bnb)") + test_problematic_imports() + if NUM_PROCESSES > 1: + PartialState().destroy_process_group() + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_ops.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_ops.py new file mode 100644 index 0000000000000000000000000000000000000000..1aa9b095e257bf63623b5127624b54c4a376c5ff --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_ops.py @@ -0,0 +1,181 @@ +#!/usr/bin/env python + +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import torch + +from accelerate import PartialState +from accelerate.test_utils.testing import assert_exception +from accelerate.utils.dataclasses import DistributedType +from accelerate.utils.operations import ( + DistributedOperationException, + broadcast, + copy_tensor_to_devices, + gather, + gather_object, + pad_across_processes, + reduce, +) + + +def create_tensor(state): + return (torch.arange(state.num_processes) + 1.0 + (state.num_processes * state.process_index)).to(state.device) + + +def test_gather(state): + tensor = create_tensor(state) + gathered_tensor = gather(tensor) + assert gathered_tensor.tolist() == list(range(1, state.num_processes**2 + 1)) + + +def test_gather_object(state): + # Gather objects in TorchXLA is not supported. + if state.distributed_type == DistributedType.XLA: + return + obj = [state.process_index] + gathered_obj = gather_object(obj) + assert len(gathered_obj) == state.num_processes, f"{gathered_obj}, {len(gathered_obj)} != {state.num_processes}" + assert gathered_obj == list(range(state.num_processes)), f"{gathered_obj} != {list(range(state.num_processes))}" + + +def test_gather_non_contiguous(state): + # Skip this test because the 'is_contiguous' function of XLA tensor always returns True. + if state.distributed_type == DistributedType.XLA: + return + + # Create a non-contiguous tensor (enforce non-contiguity after device memory allocation) + tensor = torch.arange(12, device=state.device).view(4, 3).t() + assert not tensor.is_contiguous() + # Shouldn't error out + _ = gather(tensor) + + +def test_broadcast(state): + tensor = create_tensor(state) + broadcasted_tensor = broadcast(tensor) + assert broadcasted_tensor.shape == torch.Size([state.num_processes]) + assert broadcasted_tensor.tolist() == list(range(1, state.num_processes + 1)) + + +def test_pad_across_processes(state): + # We need to pad the tensor with one more element if we are the main process + # to ensure that we can pad + if state.is_main_process: + tensor = torch.arange(state.num_processes + 1).to(state.device) + else: + tensor = torch.arange(state.num_processes).to(state.device) + padded_tensor = pad_across_processes(tensor) + assert padded_tensor.shape == torch.Size([state.num_processes + 1]) + if not state.is_main_process: + assert padded_tensor.tolist() == list(range(0, state.num_processes)) + [0] + + +def test_reduce_sum(state): + # For now runs on only two processes + if state.num_processes != 2: + return + tensor = create_tensor(state) + reduced_tensor = reduce(tensor, "sum") + truth_tensor = torch.tensor([4.0, 6]).to(state.device) + assert torch.allclose(reduced_tensor, truth_tensor), f"{reduced_tensor} != {truth_tensor}" + + +def test_reduce_mean(state): + # For now runs on only two processes + if state.num_processes != 2: + return + tensor = create_tensor(state) + reduced_tensor = reduce(tensor, "mean") + truth_tensor = torch.tensor([2.0, 3]).to(state.device) + assert torch.allclose(reduced_tensor, truth_tensor), f"{reduced_tensor} != {truth_tensor}" + + +def test_op_checker(state): + # Must be in a distributed state, and gathering is currently not supported in TorchXLA. + if state.distributed_type in [DistributedType.NO, DistributedType.XLA]: + return + state.debug = True + # `pad_across_processes` + if state.process_index == 0: + data = {"tensor": torch.tensor([[0.0, 1, 2, 3, 4]]).to(state.device)} + else: + data = {"tensor": torch.tensor([[[0.0, 1, 2, 3, 4, 5]]]).to(state.device)} + + with assert_exception(DistributedOperationException): + pad_across_processes(data, dim=0) + + # `reduce` + if state.process_index == 0: + data = {"tensor": torch.tensor([[0.0, 1, 2, 3, 4]]).to(state.device)} + else: + data = {"tensor": torch.tensor([[[0.0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]]).to(state.device)} + + with assert_exception(DistributedOperationException): + reduce(data) + + # `broadcast` + if state.process_index == 0: + data = {"tensor": torch.tensor([[0.0, 1, 2, 3, 4]]).to(state.device)} + else: + data = {"tensor": torch.tensor([[[0.0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]]).to(state.device)} + + with assert_exception(DistributedOperationException): + broadcast(data) + + state.debug = False + + +def test_copy_tensor_to_devices(state): + if state.distributed_type not in [DistributedType.MULTI_GPU, DistributedType.XLA]: + return + if state.is_main_process: + tensor = torch.tensor([1, 2, 3], dtype=torch.int).to(state.device) + else: + tensor = None + tensor = copy_tensor_to_devices(tensor) + assert torch.allclose(tensor, torch.tensor([1, 2, 3], dtype=torch.int, device=state.device)) + + +def _mp_fn(index): + # For xla_spawn (TPUs) + main() + + +def main(): + state = PartialState() + state.print(f"State: {state}") + state.print("testing gather") + test_gather(state) + state.print("testing gather_object") + test_gather_object(state) + state.print("testing gather non-contiguous") + test_gather_non_contiguous(state) + state.print("testing broadcast") + test_broadcast(state) + state.print("testing pad_across_processes") + test_pad_across_processes(state) + state.print("testing reduce_sum") + test_reduce_sum(state) + state.print("testing reduce_mean") + test_reduce_mean(state) + state.print("testing op_checker") + test_op_checker(state) + state.print("testing sending tensors across devices") + test_copy_tensor_to_devices(state) + state.destroy_process_group() + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_script.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_script.py new file mode 100644 index 0000000000000000000000000000000000000000..a8e89df60cd421e39e025aa7cbc9ad01b27fe190 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_script.py @@ -0,0 +1,947 @@ +#!/usr/bin/env python + +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import contextlib +import io +import math +import time +from copy import deepcopy +from pathlib import Path + +import numpy as np +import torch +from torch.utils.data import DataLoader, Dataset + +from accelerate import Accelerator +from accelerate.data_loader import SeedableRandomSampler, prepare_data_loader +from accelerate.state import AcceleratorState +from accelerate.test_utils import RegressionDataset, RegressionModel, are_the_same_tensors +from accelerate.utils import ( + DataLoaderConfiguration, + DistributedType, + gather, + gather_object, + is_bf16_available, + is_cuda_available, + is_datasets_available, + is_fp16_available, + is_hpu_available, + is_ipex_available, + is_mps_available, + is_pytest_available, + set_seed, + synchronize_rng_states, +) + + +if is_hpu_available(): + ATOL = 1e-3 + RTOL = 1e-3 +else: + ATOL = 1e-6 + RTOL = 1e-6 + + +def generate_baseline_dataloader(train_set, generator, batch_size, use_seedable_sampler=False): + "Creates a dataloader that can also use the `SeedableRandomSampler`" + if use_seedable_sampler: + # The SeedableRandomSampler is needed during distributed setups + # for full reproducibility across processes with the `DataLoader` + sampler = SeedableRandomSampler( + generator=generator, + data_source=train_set, + num_samples=len(train_set), + ) + return DataLoader(train_set, batch_size=batch_size, sampler=sampler) + else: + return DataLoader(train_set, batch_size=batch_size, shuffle=True, generator=generator) + + +def print_main(state): + print(f"Printing from the main process {state.process_index}") + + +def print_local_main(state): + print(f"Printing from the local main process {state.local_process_index}") + + +def print_last(state): + print(f"Printing from the last process {state.process_index}") + + +def print_on(state, process_idx): + print(f"Printing from process {process_idx}: {state.process_index}") + + +def process_execution_check(): + accelerator = Accelerator() + num_processes = accelerator.num_processes + # Test main_process_first context manager + path = Path("check_main_process_first.txt") + with accelerator.main_process_first(): + if accelerator.is_main_process: + time.sleep(0.1) # ensure main process takes longest + with open(path, "a+") as f: + f.write("Currently in the main process\n") + else: + with open(path, "a+") as f: + f.write("Now on another process\n") + accelerator.wait_for_everyone() + + if accelerator.is_main_process: + with open(path) as f: + text = "".join(f.readlines()) + try: + assert text.startswith("Currently in the main process\n"), "Main process was not first" + if num_processes > 1: + assert text.endswith("Now on another process\n"), "Main process was not first" + assert text.count("Now on another process\n") == accelerator.num_processes - 1, ( + f"Only wrote to file {text.count('Now on another process') + 1} times, not {accelerator.num_processes}" + ) + except AssertionError: + path.unlink() + raise + + if accelerator.is_main_process and path.exists(): + path.unlink() + accelerator.wait_for_everyone() + # Test the decorators + f = io.StringIO() + with contextlib.redirect_stdout(f): + accelerator.on_main_process(print_main)(accelerator.state) + result = f.getvalue().rstrip() + if accelerator.is_main_process: + assert result == "Printing from the main process 0", f"{result} != Printing from the main process 0" + else: + assert f.getvalue().rstrip() == "", f'{result} != ""' + f.truncate(0) + f.seek(0) + + with contextlib.redirect_stdout(f): + accelerator.on_local_main_process(print_local_main)(accelerator.state) + if accelerator.is_local_main_process: + assert f.getvalue().rstrip() == "Printing from the local main process 0" + else: + assert f.getvalue().rstrip() == "" + f.truncate(0) + f.seek(0) + + with contextlib.redirect_stdout(f): + accelerator.on_last_process(print_last)(accelerator.state) + if accelerator.is_last_process: + assert f.getvalue().rstrip() == f"Printing from the last process {accelerator.state.num_processes - 1}" + else: + assert f.getvalue().rstrip() == "" + f.truncate(0) + f.seek(0) + + for process_idx in range(num_processes): + with contextlib.redirect_stdout(f): + accelerator.on_process(print_on, process_index=process_idx)(accelerator.state, process_idx) + if accelerator.process_index == process_idx: + assert f.getvalue().rstrip() == f"Printing from process {process_idx}: {accelerator.process_index}" + else: + assert f.getvalue().rstrip() == "" + f.truncate(0) + f.seek(0) + + +def init_state_check(): + # Test we can instantiate this twice in a row. + state = AcceleratorState() + if state.local_process_index == 0: + print("Testing, testing. 1, 2, 3.") + print(state) + + +def rng_sync_check(): + state = AcceleratorState() + synchronize_rng_states(["torch"]) + assert are_the_same_tensors(torch.get_rng_state()), "RNG states improperly synchronized on CPU." + if state.distributed_type == DistributedType.MULTI_GPU: + synchronize_rng_states(["cuda"]) + assert are_the_same_tensors(torch.cuda.get_rng_state()), "RNG states improperly synchronized on GPU." + elif state.distributed_type == DistributedType.MULTI_XPU: + synchronize_rng_states(["xpu"]) + assert are_the_same_tensors(torch.xpu.get_rng_state()), "RNG states improperly synchronized on XPU." + generator = torch.Generator() + synchronize_rng_states(["generator"], generator=generator) + assert are_the_same_tensors(generator.get_state()), "RNG states improperly synchronized in generator." + + if state.local_process_index == 0: + print("All rng are properly synched.") + + +def dl_preparation_check(): + state = AcceleratorState() + length = 32 * state.num_processes + + dl = DataLoader(range(length), batch_size=8) + dl = prepare_data_loader(dl, state.device, state.num_processes, state.process_index, put_on_device=True) + result = [] + for batch in dl: + result.append(gather(batch)) + result = torch.cat(result) + + assert torch.equal(result.cpu(), torch.arange(0, length).long()), "Wrong non-shuffled dataloader result." + + dl = DataLoader(range(length), batch_size=8) + dl = prepare_data_loader( + dl, + state.device, + state.num_processes, + state.process_index, + put_on_device=True, + split_batches=True, + ) + result = [] + for batch in dl: + result.append(gather(batch)) + result = torch.cat(result) + assert torch.equal(result.cpu(), torch.arange(0, length).long()), "Wrong non-shuffled dataloader result." + + if state.process_index == 0: + print("Non-shuffled dataloader passing.") + + dl = DataLoader(range(length), batch_size=8, shuffle=True) + dl = prepare_data_loader(dl, state.device, state.num_processes, state.process_index, put_on_device=True) + result = [] + for batch in dl: + result.append(gather(batch)) + result = torch.cat(result).tolist() + result.sort() + assert result == list(range(length)), "Wrong shuffled dataloader result." + + dl = DataLoader(range(length), batch_size=8, shuffle=True) + dl = prepare_data_loader( + dl, + state.device, + state.num_processes, + state.process_index, + put_on_device=True, + split_batches=True, + ) + result = [] + for batch in dl: + result.append(gather(batch)) + result = torch.cat(result).tolist() + result.sort() + assert result == list(range(length)), "Wrong shuffled dataloader result." + + if state.local_process_index == 0: + print("Shuffled dataloader passing.") + + +def central_dl_preparation_check(): + state = AcceleratorState() + length = 32 * state.num_processes + + dl = DataLoader(range(length), batch_size=8) + dl = prepare_data_loader( + dl, state.device, state.num_processes, state.process_index, put_on_device=True, dispatch_batches=True + ) + result = [] + for batch in dl: + result.append(gather(batch)) + result = torch.cat(result) + assert torch.equal(result.cpu(), torch.arange(0, length).long()), "Wrong non-shuffled dataloader result." + + dl = DataLoader(range(length), batch_size=8) + dl = prepare_data_loader( + dl, + state.device, + state.num_processes, + state.process_index, + put_on_device=True, + split_batches=True, + dispatch_batches=True, + ) + result = [] + for batch in dl: + result.append(gather(batch)) + result = torch.cat(result) + assert torch.equal(result.cpu(), torch.arange(0, length).long()), "Wrong non-shuffled dataloader result." + + if state.process_index == 0: + print("Non-shuffled central dataloader passing.") + + dl = DataLoader(range(length), batch_size=8, shuffle=True) + dl = prepare_data_loader( + dl, state.device, state.num_processes, state.process_index, put_on_device=True, dispatch_batches=True + ) + result = [] + for batch in dl: + result.append(gather(batch)) + result = torch.cat(result).tolist() + result.sort() + assert result == list(range(length)), "Wrong shuffled dataloader result." + + dl = DataLoader(range(length), batch_size=8, shuffle=True) + dl = prepare_data_loader( + dl, + state.device, + state.num_processes, + state.process_index, + put_on_device=True, + split_batches=True, + dispatch_batches=True, + ) + result = [] + for batch in dl: + result.append(gather(batch)) + result = torch.cat(result).tolist() + result.sort() + assert result == list(range(length)), "Wrong shuffled dataloader result." + + if state.local_process_index == 0: + print("Shuffled central dataloader passing.") + + +def custom_sampler_check(): + state = AcceleratorState() + + class CustomDataset(Dataset): + def __init__(self, data): + self.data = data + + def __len__(self): + return len(self.data) + + def __getitem__(self, index): + return self.data[index] + + class CustomBatchSampler: + def __init__(self, dataset_length: int, batch_size: int, shuffle: bool = True): + self.batch_size = batch_size + self.data_index = np.arange(dataset_length) + self.shuffle = shuffle + + def __iter__(self): + num_batches = len(self) + if self.shuffle: + index = np.random.permutation(self.data_index) + else: + index = self.data_index + output = np.array_split(index, num_batches) + yield from output + + def __len__(self): + return math.ceil(len(self.data_index) / self.batch_size) + + dataset = CustomDataset(range(32 * state.num_processes)) + sampler = CustomBatchSampler(len(dataset), batch_size=8) + dl = DataLoader(dataset, batch_sampler=sampler) + dl = prepare_data_loader(dl, state.device, state.num_processes, state.process_index) + # We need just ensure that `dl.batch_sampler` (or `dl.batch_sampler.batch_sampler` is indeed the old batch sampler + if hasattr(dl.batch_sampler, "batch_sampler"): + assert isinstance(dl.batch_sampler.batch_sampler, CustomBatchSampler), ( + "Custom sampler was changed after calling `prepare_data_loader`" + ) + else: + assert isinstance(dl.batch_sampler, CustomBatchSampler), ( + "Custom sampler was changed after calling `prepare_data_loader`" + ) + + +def check_seedable_sampler(): + # Set seed + set_seed(42) + train_set = RegressionDataset(length=10, seed=42) + train_dl = DataLoader(train_set, batch_size=2, shuffle=True) + + config = DataLoaderConfiguration(use_seedable_sampler=True) + accelerator = Accelerator(dataloader_config=config) + train_dl = accelerator.prepare(train_dl) + original_items = [] + for _ in range(3): + for batch in train_dl: + original_items.append(batch["x"]) + original_items = torch.cat(original_items) + + # Set seed again and the epoch + set_seed(42) + train_dl.set_epoch(0) + new_items = [] + for _ in range(3): + for batch in train_dl: + new_items.append(batch["x"]) + new_items = torch.cat(new_items) + assert torch.allclose(original_items, new_items), "Did not obtain the same items with the same seed and epoch." + + +def check_seedable_sampler_in_batch_sampler_shard(): + set_seed(42) + + config = DataLoaderConfiguration(use_seedable_sampler=True) + accelerator = Accelerator(dataloader_config=config) + assert accelerator.num_processes > 1, "This test requires more than one process." + + dataloader = DataLoader(list(range(10)), batch_size=1, shuffle=True) + prepared_data_loader = prepare_data_loader( + dataloader=dataloader, + use_seedable_sampler=True, + ) + + target_sampler = prepared_data_loader.batch_sampler.batch_sampler.sampler + assert isinstance(target_sampler, SeedableRandomSampler), ( + "Sampler in BatchSamplerShard is not SeedableRandomSampler." + ) + + +def check_seedable_sampler_with_data_seed(): + # Set seed + set_seed(42) + data_seed = 42 + train_set = RegressionDataset(length=10, seed=42) + train_dl = DataLoader(train_set, batch_size=2, shuffle=True) + + config = DataLoaderConfiguration(use_seedable_sampler=True, data_seed=data_seed) + accelerator = Accelerator(dataloader_config=config) + prepared_dl = accelerator.prepare(train_dl) + original_items = [] + for _ in range(3): + for batch in prepared_dl: + original_items.append(batch["x"]) + original_items = torch.cat(original_items) + + # Set new data seed + config.data_seed = 43 + accelerator = Accelerator(dataloader_config=config) + prepared_dl = accelerator.prepare(train_dl) + new_items = [] + for _ in range(3): + for batch in prepared_dl: + new_items.append(batch["x"]) + new_items = torch.cat(new_items) + assert not torch.allclose(original_items, new_items), "Obtained the same items with different data seed." + + +def mock_training(length, batch_size, generator, use_seedable_sampler=False): + set_seed(42) + generator.manual_seed(42) + train_set = RegressionDataset(length=length, seed=42) + + train_dl = generate_baseline_dataloader(train_set, generator, batch_size, use_seedable_sampler) + model = RegressionModel() + optimizer = torch.optim.SGD(model.parameters(), lr=0.1) + for epoch in range(3): + for batch in train_dl: + model.zero_grad() + output = model(batch["x"]) + loss = torch.nn.functional.mse_loss(output, batch["y"]) + loss.backward() + optimizer.step() + return train_set, model + + +def training_check(use_seedable_sampler=False): + state = AcceleratorState() + generator = torch.Generator() + batch_size = 8 + length = batch_size * 4 * state.num_processes + + train_set, old_model = mock_training(length, batch_size * state.num_processes, generator, use_seedable_sampler) + assert are_the_same_tensors(old_model.a), "Did not obtain the same model on both processes." + assert are_the_same_tensors(old_model.b), "Did not obtain the same model on both processes." + + accelerator = Accelerator() + train_dl = generate_baseline_dataloader(train_set, generator, batch_size, use_seedable_sampler) + model = RegressionModel() + optimizer = torch.optim.SGD(model.parameters(), lr=0.1) + + train_dl, model, optimizer = accelerator.prepare(train_dl, model, optimizer) + set_seed(42) + generator.manual_seed(42) + for _ in range(3): + for batch in train_dl: + model.zero_grad() + output = model(batch["x"]) + loss = torch.nn.functional.mse_loss(output, batch["y"]) + accelerator.backward(loss) + optimizer.step() + + model = accelerator.unwrap_model(model).cpu() + torch.testing.assert_close( + old_model.a, + model.a, + atol=ATOL, + rtol=RTOL, + msg=lambda msg: f"Did not obtain the same model on CPU or distributed training.\n{msg}", + ) + torch.testing.assert_close( + old_model.b, + model.b, + atol=ATOL, + rtol=RTOL, + msg=lambda msg: f"Did not obtain the same model on CPU or distributed training.\n{msg}", + ) + + accelerator.print("Training yielded the same results on one CPU or distributed setup with no batch split.") + + dataloader_config = DataLoaderConfiguration(split_batches=True, use_seedable_sampler=use_seedable_sampler) + accelerator = Accelerator(dataloader_config=dataloader_config) + train_dl = generate_baseline_dataloader( + train_set, generator, batch_size * state.num_processes, use_seedable_sampler + ) + model = RegressionModel() + optimizer = torch.optim.SGD(model.parameters(), lr=0.1) + + train_dl, model, optimizer = accelerator.prepare(train_dl, model, optimizer) + set_seed(42) + generator.manual_seed(42) + for _ in range(3): + for batch in train_dl: + model.zero_grad() + output = model(batch["x"]) + loss = torch.nn.functional.mse_loss(output, batch["y"]) + accelerator.backward(loss) + optimizer.step() + + model = accelerator.unwrap_model(model).cpu() + torch.testing.assert_close( + old_model.a, + model.a, + atol=ATOL, + rtol=RTOL, + msg=lambda msg: f"Did not obtain the same model on CPU or distributed training.\n{msg}", + ) + torch.testing.assert_close( + old_model.b, + model.b, + atol=ATOL, + rtol=RTOL, + msg=lambda msg: f"Did not obtain the same model on CPU or distributed training.\n{msg}", + ) + + accelerator.print("Training yielded the same results on one CPU or distributed setup with batch split.") + + # FP32 wrapper check + if is_cuda_available() or is_mps_available(): + # Mostly a test that model.forward will have autocast when running unwrap_model(model, keep_fp32_wrapper=True) + print("Keep fp32 wrapper check.") + AcceleratorState._reset_state() + accelerator = Accelerator(mixed_precision="fp16") + + model = torch.nn.Linear(2, 4) + model = accelerator.prepare(model) + model_with_fp32_wrapper = accelerator.unwrap_model(model, keep_fp32_wrapper=True) + + # Run forward with fp16 as input. + # When the model is with mixed precision wrapper, no error will be raised. + input_tensor = torch.Tensor([1, 2]).to(dtype=torch.float16, device=accelerator.device) + output = model_with_fp32_wrapper(input_tensor) + + # BF16 support + if is_bf16_available(): + # Mostly a test that BF16 doesn't crash as the operation inside the model is not converted to BF16 + print("BF16 training check.") + AcceleratorState._reset_state() + dataloader_config = DataLoaderConfiguration(use_seedable_sampler=use_seedable_sampler) + accelerator = Accelerator(mixed_precision="bf16", dataloader_config=dataloader_config) + train_dl = generate_baseline_dataloader(train_set, generator, batch_size, use_seedable_sampler) + model = RegressionModel() + optimizer = torch.optim.SGD(model.parameters(), lr=0.1) + + train_dl, model, optimizer = accelerator.prepare(train_dl, model, optimizer) + set_seed(42) + generator.manual_seed(42) + for _ in range(3): + for batch in train_dl: + model.zero_grad() + output = model(batch["x"]) + loss = torch.nn.functional.mse_loss(output, batch["y"]) + accelerator.backward(loss) + optimizer.step() + + model = accelerator.unwrap_model(model).cpu() + torch.testing.assert_close( + old_model.a, + model.a, + atol=ATOL, + rtol=RTOL, + msg=lambda msg: f"Did not obtain the same model on CPU or distributed training.\n{msg}", + ) + torch.testing.assert_close( + old_model.b, + model.b, + atol=ATOL, + rtol=RTOL, + msg=lambda msg: f"Did not obtain the same model on CPU or distributed training.\n{msg}", + ) + + # FP16 support (HPU fp16 model seems to be off by 10% from the CPU, which is a lot of numerical error) + if is_fp16_available() and not is_hpu_available(): + # Mostly a test that FP16 doesn't crash as the operation inside the model is not converted to FP16 + print("FP16 training check.") + AcceleratorState._reset_state() + dataloader_config = DataLoaderConfiguration(use_seedable_sampler=use_seedable_sampler) + accelerator = Accelerator(mixed_precision="fp16", dataloader_config=dataloader_config) + train_dl = generate_baseline_dataloader(train_set, generator, batch_size, use_seedable_sampler) + model = RegressionModel() + optimizer = torch.optim.SGD(model.parameters(), lr=0.1) + + train_dl, model, optimizer = accelerator.prepare(train_dl, model, optimizer) + set_seed(42) + generator.manual_seed(42) + for _ in range(3): + for batch in train_dl: + model.zero_grad() + output = model(batch["x"]) + loss = torch.nn.functional.mse_loss(output, batch["y"]) + accelerator.backward(loss) + optimizer.step() + + model = accelerator.unwrap_model(model).cpu() + torch.testing.assert_close( + old_model.a, + model.a, + atol=ATOL, + rtol=RTOL, + msg=lambda msg: f"Did not obtain the same model on CPU or distributed training.\n{msg}", + ) + torch.testing.assert_close( + old_model.b, + model.b, + atol=ATOL, + rtol=RTOL, + msg=lambda msg: f"Did not obtain the same model on CPU or distributed training.\n{msg}", + ) + + # IPEX CPU tests + if is_ipex_available(): + print("ipex BF16 training check.") + AcceleratorState._reset_state() + dataloader_config = DataLoaderConfiguration(use_seedable_sampler=use_seedable_sampler) + accelerator = Accelerator(mixed_precision="bf16", cpu=True, dataloader_config=dataloader_config) + train_dl = generate_baseline_dataloader(train_set, generator, batch_size, use_seedable_sampler) + model = RegressionModel() + optimizer = torch.optim.SGD(model.parameters(), lr=0.1) + + train_dl, model, optimizer = accelerator.prepare(train_dl, model, optimizer) + set_seed(42) + generator.manual_seed(42) + for _ in range(3): + for batch in train_dl: + model.zero_grad() + output = model(batch["x"]) + loss = torch.nn.functional.mse_loss(output, batch["y"]) + accelerator.backward(loss) + optimizer.step() + + model = accelerator.unwrap_model(model).cpu() + torch.testing.assert_close( + old_model.a, + model.a, + atol=ATOL, + rtol=RTOL, + msg=lambda msg: f"Did not obtain the same model on CPU or distributed training.\n{msg}", + ) + torch.testing.assert_close( + old_model.b, + model.b, + atol=ATOL, + rtol=RTOL, + msg=lambda msg: f"Did not obtain the same model on CPU or distributed training.\n{msg}", + ) + + +def test_split_between_processes_dataset(datasets_Dataset): + state = AcceleratorState() + data = datasets_Dataset.from_list([dict(k=v) for v in range(2 * state.num_processes)]) + with state.split_between_processes(data, apply_padding=False) as results: + assert len(results) == 2, ( + f"Each process did not have two items. Process index: {state.process_index}; Length: {len(results)}" + ) + + data = datasets_Dataset.from_list([dict(k=v) for v in range(2 * state.num_processes - 1)]) + with state.split_between_processes(data, apply_padding=False) as results: + if state.is_last_process: + assert len(results) == 1, ( + f"Last process did not receive a single item. Process index: {state.process_index}; Length: {len(results)}" + ) + else: + assert len(results) == 2, ( + f"One of the intermediate processes did not receive two items. Process index: {state.process_index}; Length: {len(results)}" + ) + state.wait_for_everyone() + + odd_data = datasets_Dataset.from_list([dict(k=v) for v in range(2 * state.num_processes - 1)]) + even_data = datasets_Dataset.from_list([dict(k=v) for v in range(2 * state.num_processes)]) + + for data in [odd_data, even_data]: + expected_output = data["k"] + + with state.split_between_processes(data, apply_padding=True) as results: + if state.num_processes == 1: + assert len(results) == len(data), ( + f"Single process did not receive all items. Process index: {state.process_index}; Length: {len(results)}" + ) + else: + assert len(results) == 2, ( + f"Each process did not have two items. Process index: {state.process_index}; Length: {len(results)}" + ) + + results_per_process = [] + for result in results: + results_per_process.append(result) + + state.wait_for_everyone() + + gathered_results = gather_object(results_per_process) + output = [r["k"] for r in gathered_results[: len(data)]] + + assert expected_output == output, f"Gathered results is incorrect. Expected: {expected_output}; Got: {output}" + + +def test_split_between_processes_list(): + state = AcceleratorState() + data = list(range(0, 2 * state.num_processes)) + with state.split_between_processes(data) as results: + assert len(results) == 2, ( + f"Each process did not have two items. Process index: {state.process_index}; Length: {len(results)}" + ) + state.wait_for_everyone() + + even_data = list(range(0, (2 * state.num_processes))) + odd_data = list(range(0, (2 * state.num_processes) - 1)) + for data in [odd_data, even_data]: + expected_output = data + + with state.split_between_processes(data, apply_padding=True) as results: + num_samples_per_device = math.ceil(len(data) / state.num_processes) + # Test all processes gets the correct number of item(s) + assert len(results) == num_samples_per_device, ( + f"Process {state.device} did not get the correct number of item(s). Process index: {state.process_index}; Length: {len(results)}" + ) + + results_per_process = [] + for result in results: + results_per_process.append(result) + + state.wait_for_everyone() + + gathered_results = gather_object(results_per_process) + output = gathered_results[: len(data)] + + assert expected_output == output, f"Gathered results is incorrect. Expected: {expected_output}; Got: {output}" + + +def test_split_between_processes_nested_dict(): + state = AcceleratorState() + a = [1, 2, 3, 4, 5, 6, 7, 8] + b = ["a", "b", "c", "d", "e", "f", "g", "h"] + c = torch.tensor([1, 2, 3, 4, 5, 6, 7, 8]) + if state.num_processes in (1, 2, 4): + data = {"a": a, "b": b, "c": c} + data_copy = deepcopy(data) + with state.split_between_processes(data) as results: + if state.process_index == 0: + assert results["a"] == data_copy["a"][: 8 // state.num_processes] + elif state.num_processes == 2: + assert results["a"] == data_copy["a"][4:] + elif state.process_index == 3: + # We return a list each time + assert results["a"] == data_copy["a"][-2:], f"Expected: {data_copy['a'][-2]}, Actual: {results['a']}" + if state.process_index == 0: + assert results["b"] == data_copy["b"][: 8 // state.num_processes] + elif state.num_processes == 2: + assert results["b"] == data_copy["b"][4:] + elif state.process_index == 3: + assert results["b"] == data_copy["b"][-2:] + if state.process_index == 0: + assert torch.allclose(results["c"], data_copy["c"][: 8 // state.num_processes]), ( + f"Did not obtain expected values on process 0, expected `{data['c'][: 8 // state.num_processes]}`, received: {results['c']}" + ) + elif state.num_processes == 2: + assert torch.allclose(results["c"], data_copy["c"][4:]), ( + f"Did not obtain expected values on process 2, expected `{data['c'][4:]}`, received: {results['c']}" + ) + elif state.process_index == 3: + assert torch.allclose(results["c"], data_copy["c"][-2:]), ( + f"Did not obtain expected values on process 4, expected `{data['c'][-2:]}`, received: {results['c']}" + ) + + state.wait_for_everyone() + + +def test_split_between_processes_tensor(): + state = AcceleratorState() + if state.num_processes > 1: + data = torch.tensor([[0, 1, 2, 3], [4, 5, 6, 7]]).to(state.device) + with state.split_between_processes(data) as results: + if state.process_index == 0: + expected = torch.tensor([[0, 1, 2, 3]]).to(state.device) + else: + expected = torch.tensor([[4, 5, 6, 7]]).to(state.device) + torch.testing.assert_close(results, expected) + state.wait_for_everyone() + + even_data = torch.tensor([[i] for i in range(2 * state.num_processes)]).to(state.device) + odd_data = torch.tensor([[i] for i in range(2 * state.num_processes - 1)]).to(state.device) + for data in [even_data, odd_data]: + expected_output = [torch.tensor(i) for i in data.tolist()] + + with state.split_between_processes(data, apply_padding=True) as results: + num_samples_per_device = math.ceil(len(data) / state.num_processes) + assert len(results) == num_samples_per_device, ( + f"Process {state.device} did not get the correct number of item(s). Process index: {state.process_index}; Length: {len(results)}" + ) + results_per_process = [] + for result in results: + results_per_process.append(result.to("cpu")) + + state.wait_for_everyone() + + gathered_results = gather_object(results_per_process) + output = gathered_results[: len(data)] + + assert expected_output == output, f"Gathered results is incorrect. Expected: {expected_output}; Got: {output}" + + +def test_split_between_processes_evenly(): + state = AcceleratorState() + if state.num_processes in (1, 2, 4, 8): + data = list(range(17)) + num_samples_per_process = len(data) // state.num_processes + num_extras = len(data) % state.num_processes + with state.split_between_processes(data) as results: + if state.process_index < num_extras: + assert len(results) == num_samples_per_process + 1, ( + f"Each Process should have even elements. Expected: {num_samples_per_process + 1}, Actual: {len(results)}" + ) + else: + assert len(results) == num_samples_per_process, ( + f"Each Process should have even elements. Expected: {num_samples_per_process}, Actual: {len(results)}" + ) + state.wait_for_everyone() + + +def test_trigger(): + accelerator = Accelerator() + # should start with being false + assert accelerator.check_trigger() is False + + # set a breakpoint on the main process + if accelerator.is_main_process: + accelerator.set_trigger() + + # check it's been activated across all processes + # calls `all_reduce` and triggers a sync + assert accelerator.check_trigger() is True + + # check it's been reset after the sync + assert accelerator.check_trigger() is False + + +def test_reinstantiated_state(): + import pytest + + AcceleratorState._reset_state() + simple_model = torch.nn.Linear(1, 1) + # First define an accelerator + accelerator = Accelerator() + # Then call `reset_state`, breaking the state existing in the accelerator + AcceleratorState._reset_state() + # Now try and prepare a simple model, should raise the custom error early + with pytest.raises(AttributeError) as cm: + accelerator.prepare(simple_model) + assert "`AcceleratorState` object has no attribute" in str(cm.value.args[0]) + assert "This happens if `AcceleratorState._reset_state()`" in str(cm.value.args[0]) + + +def main(): + accelerator = Accelerator() + state = accelerator.state + if state.local_process_index == 0: + print("**Initialization**") + init_state_check() + state.wait_for_everyone() + + if state.distributed_type == DistributedType.MULTI_GPU: + num_processes_per_node = torch.cuda.device_count() + else: + num_processes_per_node = state.num_processes + + # We only run this test on non-multinode + if num_processes_per_node == state.num_processes: + if state.process_index == 0: + print("\n**Test process execution**") + process_execution_check() + + if state.process_index == 0: + print("\n**Test split between processes as a list**") + test_split_between_processes_list() + + if state.process_index == 0: + print("\n**Test split between processes as a dict**") + test_split_between_processes_nested_dict() + + if state.process_index == 0: + print("\n**Test split between processes as a tensor**") + test_split_between_processes_tensor() + + if state.process_index == 0: + print("\n**Test split between processes evenly**") + test_split_between_processes_evenly() + + if state.process_index == 0: + print("\n**Test split between processes as a datasets.Dataset**") + if is_datasets_available(): + from datasets import Dataset as datasets_Dataset + + test_split_between_processes_dataset(datasets_Dataset) + else: + print("Skipped because Hugging Face datasets is not available") + + if state.local_process_index == 0: + print("\n**Test random number generator synchronization**") + rng_sync_check() + + if state.local_process_index == 0: + print("\n**DataLoader integration test**") + dl_preparation_check() + if state.distributed_type != DistributedType.XLA: + central_dl_preparation_check() + custom_sampler_check() + check_seedable_sampler() + check_seedable_sampler_with_data_seed() + + if state.num_processes > 1: + check_seedable_sampler_in_batch_sampler_shard() + + # Trainings are not exactly the same in DeepSpeed and CPU mode + if state.distributed_type == DistributedType.DEEPSPEED: + return + + if state.local_process_index == 0: + print("\n**Training integration test**") + training_check(use_seedable_sampler=False) + training_check(use_seedable_sampler=True) + + if state.local_process_index == 0: + print("\n**Breakpoint trigger test**") + test_trigger() + + if is_pytest_available(): + if state.local_process_index == 0: + print("\n**Test reinstantiated state**") + test_reinstantiated_state() + + state.destroy_process_group() + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_sync.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_sync.py new file mode 100644 index 0000000000000000000000000000000000000000..44e1ecc1d59c5691f284282fb8cd2259c8a70658 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/scripts/test_sync.py @@ -0,0 +1,410 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from copy import deepcopy + +import torch +import torch.nn.functional as F +from torch.optim import AdamW +from torch.optim.lr_scheduler import LambdaLR +from torch.utils.data import DataLoader + +from accelerate.accelerator import Accelerator, DataLoaderConfiguration, GradientAccumulationPlugin +from accelerate.state import GradientState +from accelerate.test_utils import RegressionDataset, RegressionModel +from accelerate.utils import DistributedType, set_seed + + +def check_model_parameters(model_a, model_b, did_step, iteration, **kwargs): + for param, grad_param in zip(model_a.parameters(), model_b.parameters()): + if not param.requires_grad: + continue + if not did_step: + # Grads should not be in sync + assert torch.allclose(param.grad, grad_param.grad, **kwargs) is False, ( + f"Gradients in sync when they should not be at iteration {iteration}:\nmodel_a grad ({param.grad}) == model_b grad ({grad_param.grad})" + ) + else: + # Grads should be in sync + assert torch.allclose(param.grad, grad_param.grad, **kwargs) is True, ( + f"Gradients not in sync when they should be at iteration {iteration}:\nmodel_a grad ({param.grad}) != model_b grad ({grad_param.grad})" + ) + + +def step_model(model, input, target, accelerator, do_backward=True): + model.train() + output = model(input) + loss = F.mse_loss(output, target.to(output.device)) + if not do_backward: + loss /= accelerator.gradient_accumulation_steps + loss.backward() + else: + accelerator.backward(loss) + + +def get_training_setup(accelerator, sched=False): + "Returns everything needed to perform basic training" + set_seed(42) + model = RegressionModel() + ddp_model = deepcopy(model) + dset = RegressionDataset(length=80) + dataloader = DataLoader(dset, batch_size=16) + model.to(accelerator.device) + if sched: + opt = AdamW(params=model.parameters(), lr=1e-3) + ddp_opt = AdamW(params=ddp_model.parameters(), lr=1e-3) + sched = LambdaLR(opt, lr_lambda=lambda epoch: epoch**0.65) + ddp_sched = LambdaLR(ddp_opt, lr_lambda=lambda epoch: epoch**0.65) + # Make a copy of `model` + if sched: + ddp_model, ddp_opt, ddp_sched, dataloader = accelerator.prepare(ddp_model, ddp_opt, ddp_sched, dataloader) + else: + ddp_model, dataloader = accelerator.prepare(ddp_model, dataloader) + if sched: + return (model, opt, sched, dataloader, ddp_model, ddp_opt, ddp_sched) + return model, ddp_model, dataloader + + +def test_noop_sync(accelerator): + # Test when on a single CPU or GPU that the context manager does nothing + model, ddp_model, dataloader = get_training_setup(accelerator) + # Use a single batch + ddp_input, ddp_target = next(iter(dataloader)).values() + for iteration in range(3): + # Gather the distributed inputs and targs for the base model + input, target = accelerator.gather((ddp_input, ddp_target)) + input, target = input.to(accelerator.device), target.to(accelerator.device) + # Perform our initial ground truth step in non "DDP" + step_model(model, input, target, accelerator) + # Do "gradient accumulation" (noop) + if iteration % 2 == 0: + # Accumulate grads locally + with accelerator.no_sync(ddp_model): + step_model(ddp_model, ddp_input, ddp_target, accelerator) + else: + # Sync grads + step_model(ddp_model, ddp_input, ddp_target, accelerator) + + # Since `no_sync` is a noop, `ddp_model` and `model` grads should always be in sync + check_model_parameters(model, ddp_model, True, iteration) + for param, ddp_param in zip(model.parameters(), ddp_model.parameters()): + if not param.requires_grad: + continue + assert torch.allclose(param.grad, ddp_param.grad), ( + f"Gradients not in sync when they should be:\nModel grad ({param.grad}) != DDP grad ({ddp_param.grad})" + ) + + # Shuffle ddp_input on each iteration + torch.manual_seed(1337 + iteration) + ddp_input = ddp_input[torch.randperm(len(ddp_input))] + + +def test_distributed_sync(accelerator): + # Test on distributed setup that context manager behaves properly + model, ddp_model, dataloader = get_training_setup(accelerator) + # Use a single batch + ddp_input, ddp_target = next(iter(dataloader)).values() + for iteration in range(3): + # Gather the distributed inputs and targs for the base model + input, target = accelerator.gather((ddp_input, ddp_target)) + input, target = input.to(accelerator.device), target.to(accelerator.device) + # Perform our initial ground truth step in non "DDP" + step_model(model, input, target, accelerator) + # Do "gradient accumulation" (noop) + if iteration % 2 == 0: + # Accumulate grads locally + with accelerator.no_sync(ddp_model): + step_model(ddp_model, ddp_input, ddp_target, accelerator) + else: + # Sync grads + step_model(ddp_model, ddp_input, ddp_target, accelerator) + + # DDP model and model should only be in sync when not (iteration % 2 == 0) + for param, ddp_param in zip(model.parameters(), ddp_model.parameters()): + if not param.requires_grad: + continue + if iteration % 2 == 0: + # Grads should not be in sync + assert torch.allclose(param.grad, ddp_param.grad) is False, ( + f"Gradients in sync when they should not be:\nModel grad ({param.grad}) == DDP grad ({ddp_param.grad})" + ) + else: + # Grads should be in sync + assert torch.allclose(param.grad, ddp_param.grad) is True, ( + f"Gradients not in sync when they should be:\nModel grad ({param.grad}) != DDP grad ({ddp_param.grad})" + ) + + # Shuffle ddp_input on each iteration + torch.manual_seed(1337 + iteration) + ddp_input = ddp_input[torch.randperm(len(ddp_input))] + + +def test_distributed_sync_multiple_fwd(accelerator): + # Test on distributed setup that context manager behaves properly when used with multiple forwards followed by multiple backwards + model, ddp_model, dataloader = get_training_setup(accelerator) + # Do multiple forwards + losses = [] + num_iterations = 3 + for iteration in range(num_iterations): + ddp_input, ddp_target = next(iter(dataloader)).values() + + # Gather the distributed inputs and targs for the base model + input, target = accelerator.gather((ddp_input, ddp_target)) + input, target = input.to(accelerator.device), target.to(accelerator.device) + + # Perform our initial ground truth step in non "DDP" + step_model(model, input, target, accelerator) + + # Accumulate grads locally + with accelerator.no_sync(ddp_model): + ddp_output = ddp_model(ddp_input) + loss = F.mse_loss(ddp_output, ddp_target.to(ddp_output.device)) + losses.append(loss) + + # Do multiple backwards and sync only at the last backward + for iteration in range(num_iterations): + loss = losses[iteration] + + if iteration < num_iterations - 1: + # Accumulate grads locally + accelerator.backward(loss) + + # DDP model and model should only be in sync after last backward + for param, ddp_param in zip(model.parameters(), ddp_model.parameters()): + if not param.requires_grad: + continue + # Grads should not be in sync + assert torch.allclose(param.grad, ddp_param.grad) is False, ( + f"Gradients in sync when they should not be:\nModel grad ({param.grad}) == DDP grad ({ddp_param.grad})" + ) + + else: + # Sync grads if last backward + with accelerator.trigger_sync_in_backward(ddp_model): + accelerator.backward(loss) + + # DDP model and model should only be in sync after last backward + for param, ddp_param in zip(model.parameters(), ddp_model.parameters()): + if not param.requires_grad: + continue + # Grads should be in sync + assert torch.allclose(param.grad, ddp_param.grad) is True, ( + f"Gradients not in sync when they should be:\nModel grad ({param.grad}) != DDP grad ({ddp_param.grad})" + ) + + +def test_gradient_accumulation(split_batches=False, dispatch_batches=False, sync_each_batch=False): + gradient_accumulation_plugin = GradientAccumulationPlugin(num_steps=2, sync_each_batch=sync_each_batch) + dataloader_config = DataLoaderConfiguration(split_batches=split_batches, dispatch_batches=dispatch_batches) + accelerator = Accelerator( + dataloader_config=dataloader_config, + gradient_accumulation_plugin=gradient_accumulation_plugin, + ) + # Test that context manager behaves properly + model, ddp_model, dataloader = get_training_setup(accelerator) + for iteration, batch in enumerate(dataloader): + ddp_input, ddp_target = batch.values() + # Gather the distributed inputs and targs for the base model + input, target = accelerator.gather((ddp_input, ddp_target)) + input, target = input.to(accelerator.device), target.to(accelerator.device) + # Perform our initial ground truth step in non "DDP" + step_model(model, input, target, accelerator, False) + # Do "gradient accumulation" (noop) + with accelerator.accumulate(ddp_model): + step_model(ddp_model, ddp_input, ddp_target, accelerator) + + # DDP model and model should only be in sync when not (iteration % 2 == 0) + for param, ddp_param in zip(model.parameters(), ddp_model.parameters()): + if not param.requires_grad: + continue + if ((iteration + 1) % 2 == 0) or (iteration == len(dataloader) - 1) or sync_each_batch: + # Grads should be in sync + assert torch.allclose(param.grad, ddp_param.grad) is True, ( + f"Gradients not in sync when they should be at iteration {iteration}:\nModel grad ({param.grad}) != DDP grad ({ddp_param.grad})" + ) + else: + # Grads should not be in sync + assert torch.allclose(param.grad, ddp_param.grad) is False, ( + f"Gradients in sync when they should not be at iteration {iteration}:\nModel grad ({param.grad}) == DDP grad ({ddp_param.grad})" + ) + + # Shuffle ddp_input on each iteration + torch.manual_seed(1337 + iteration) + ddp_input = ddp_input[torch.randperm(len(ddp_input))] + GradientState._reset_state() + + +def test_gradient_accumulation_with_opt_and_scheduler( + split_batches=False, dispatch_batches=False, sync_each_batch=False +): + gradient_accumulation_plugin = GradientAccumulationPlugin(num_steps=2, sync_each_batch=sync_each_batch) + dataloader_config = DataLoaderConfiguration(split_batches=split_batches, dispatch_batches=dispatch_batches) + accelerator = Accelerator( + dataloader_config=dataloader_config, + gradient_accumulation_plugin=gradient_accumulation_plugin, + ) + # Test that context manager behaves properly + model, opt, sched, dataloader, ddp_model, ddp_opt, ddp_sched = get_training_setup(accelerator, True) + for iteration, batch in enumerate(dataloader): + ddp_input, ddp_target = batch.values() + # Gather the distributed inputs and targs for the base model + input, target = accelerator.gather((ddp_input, ddp_target)) + input, target = input.to(accelerator.device), target.to(accelerator.device) + # Perform our initial ground truth step in non "DDP" + model.train() + ddp_model.train() + step_model(model, input, target, accelerator, False) + opt.step() + + if ((iteration + 1) % 2 == 0) or ((iteration + 1) == len(dataloader)): + if split_batches: + sched.step() + else: + for _ in range(accelerator.num_processes): + sched.step() + + # Perform gradient accumulation under wrapper + with accelerator.accumulate(ddp_model): + step_model(ddp_model, ddp_input, ddp_target, accelerator) + ddp_opt.step() + ddp_sched.step() + + # Learning rates should be the same + assert opt.param_groups[0]["lr"] == ddp_opt.param_groups[0]["lr"], ( + f"Learning rates found in each optimizer did not align\nopt: {opt.param_groups[0]['lr']}\nDDP opt: {ddp_opt.param_groups[0]['lr']}\n" + ) + did_step = (((iteration + 1) % 2) == 0) or ((iteration + 1) == len(dataloader)) + if accelerator.num_processes > 1: + check_model_parameters( + model, + ddp_model, + did_step or sync_each_batch, # syncs at each grad_accum interval of if sync_each_batch==True + iteration, + rtol=1e-3, # needs a relative tolerance due to roundoff errors + ) + + if did_step: + opt.zero_grad() # flush gradients every accum step + ddp_opt.zero_grad() + + # Shuffle ddp_input on each iteration + torch.manual_seed(1337 + iteration) + GradientState._reset_state() + + +def test_dataloader_break(): + accelerator = Accelerator() + first_dset = RegressionDataset(length=80) + first_dataloader = DataLoader(first_dset, batch_size=16) + second_dset = RegressionDataset(length=96) + second_dataloader = DataLoader(second_dset, batch_size=16) + first_dataloader, second_dataloader = accelerator.prepare(first_dataloader, second_dataloader) + + assert accelerator.gradient_state.active_dataloader is None + for iteration, _ in enumerate(first_dataloader): + assert id(accelerator.gradient_state.active_dataloader) == id(first_dataloader) + if iteration < len(first_dataloader) - 1: + assert not accelerator.gradient_state.end_of_dataloader + if iteration == 1: + for batch_num, _ in enumerate(second_dataloader): + assert id(accelerator.gradient_state.active_dataloader) == id(second_dataloader) + if batch_num < len(second_dataloader) - 1: + assert not accelerator.gradient_state.end_of_dataloader + else: + assert accelerator.gradient_state.end_of_dataloader + else: + assert accelerator.gradient_state.end_of_dataloader + assert accelerator.gradient_state.active_dataloader is None + + +def main(): + accelerator = Accelerator() + state = accelerator.state + if state.local_process_index == 0: + print("**Test `accumulate` gradient accumulation with dataloader break**") + if state.distributed_type != DistributedType.XLA: + test_dataloader_break() + if state.distributed_type == DistributedType.NO: + if state.local_process_index == 0: + print("**Test NOOP `no_sync` context manager**") + test_noop_sync(accelerator) + if state.distributed_type in ( + DistributedType.MULTI_GPU, + DistributedType.MULTI_NPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_CPU, + DistributedType.MULTI_HPU, + ): + if state.local_process_index == 0: + print("**Test Distributed `no_sync` context manager**") + test_distributed_sync(accelerator) + if state.local_process_index == 0: + print("**Test Distributed `no_sync` context manager with multiple forwards**") + test_distributed_sync_multiple_fwd(accelerator) + if state.distributed_type in ( + DistributedType.MULTI_GPU, + DistributedType.MULTI_NPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_HPU, + ): + for split_batch in [True, False]: + for dispatch_batches in [True, False]: + for sync_each_batch in [True, False]: + if state.local_process_index == 0: + print( + "**Test `accumulate` gradient accumulation, ", + f"`split_batches={split_batch}` and `dispatch_batches={dispatch_batches}` and `sync_each_batch={sync_each_batch}`**", + ) + test_gradient_accumulation(split_batch, dispatch_batches, sync_each_batch) + + # Currently will break on torch 2.0 +, need to investigate why + if state.local_process_index == 0: + print( + "**Test `accumulate` gradient accumulation with optimizer and scheduler, ", + "`split_batches=False`, `dispatch_batches=False`, `sync_each_batch=False`**", + ) + test_gradient_accumulation_with_opt_and_scheduler() + if state.distributed_type in ( + DistributedType.MULTI_GPU, + DistributedType.MULTI_NPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_HPU, + ): + for split_batch in [True, False]: + for dispatch_batches in [True, False]: + for sync_each_batch in [True, False]: + if not split_batch and not dispatch_batches and not sync_each_batch: + continue + if state.local_process_index == 0: + print( + "**Test `accumulate` gradient accumulation with optimizer and scheduler, ", + f"`split_batches={split_batch}` and `dispatch_batches={dispatch_batches}` and `sync_each_batch={sync_each_batch}`**", + ) + test_gradient_accumulation_with_opt_and_scheduler(split_batch, dispatch_batches, sync_each_batch) + state.destroy_process_group() + + +def _mp_fn(index): + # For xla_spawn (TPUs) + main() + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/testing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/testing.py new file mode 100644 index 0000000000000000000000000000000000000000..92b229ff8e4c67266ca5029045a07967c2d4d84b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/testing.py @@ -0,0 +1,881 @@ +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import asyncio +import inspect +import io +import os +import re +import shutil +import subprocess +import sys +import tempfile +import unittest +from contextlib import contextmanager +from functools import partial +from pathlib import Path +from typing import Optional, Union +from unittest import mock + +import torch + +import accelerate + +from ..state import AcceleratorState +from ..utils import ( + check_cuda_fp8_capability, + compare_versions, + gather, + is_aim_available, + is_bnb_available, + is_clearml_available, + is_comet_ml_available, + is_cuda_available, + is_datasets_available, + is_deepspeed_available, + is_dvclive_available, + is_fp8_available, + is_fp16_available, + is_habana_gaudi1, + is_hpu_available, + is_import_timer_available, + is_matplotlib_available, + is_mlflow_available, + is_mlu_available, + is_mps_available, + is_musa_available, + is_npu_available, + is_pandas_available, + is_pippy_available, + is_pytest_available, + is_schedulefree_available, + is_sdaa_available, + is_swanlab_available, + is_tensorboard_available, + is_timm_available, + is_torch_version, + is_torch_xla_available, + is_torchao_available, + is_torchdata_stateful_dataloader_available, + is_torchvision_available, + is_trackio_available, + is_transformer_engine_available, + is_transformer_engine_mxfp8_available, + is_transformers_available, + is_triton_available, + is_wandb_available, + is_xpu_available, + str_to_bool, +) + + +def get_backend(): + if is_torch_xla_available(): + return "xla", torch.cuda.device_count(), torch.cuda.memory_allocated + elif is_cuda_available(): + return "cuda", torch.cuda.device_count(), torch.cuda.memory_allocated + elif is_mps_available(min_version="2.0"): + return "mps", 1, torch.mps.current_allocated_memory + elif is_mps_available(): + return "mps", 1, lambda: 0 + elif is_mlu_available(): + return "mlu", torch.mlu.device_count(), torch.mlu.memory_allocated + elif is_sdaa_available(): + return "sdaa", torch.sdaa.device_count(), torch.sdaa.memory_allocated + elif is_musa_available(): + return "musa", torch.musa.device_count(), torch.musa.memory_allocated + elif is_npu_available(): + return "npu", torch.npu.device_count(), torch.npu.memory_allocated + elif is_xpu_available(): + return "xpu", torch.xpu.device_count(), torch.xpu.memory_allocated + elif is_hpu_available(): + return "hpu", torch.hpu.device_count(), torch.hpu.memory_allocated + else: + return "cpu", 1, lambda: 0 + + +torch_device, device_count, memory_allocated_func = get_backend() + + +def get_launch_command(**kwargs) -> list: + """ + Wraps around `kwargs` to help simplify launching from `subprocess`. + + Example: + ```python + # returns ['accelerate', 'launch', '--num_processes=2', '--device_count=2'] + get_launch_command(num_processes=2, device_count=2) + ``` + """ + command = ["accelerate", "launch"] + for k, v in kwargs.items(): + if isinstance(v, bool) and v: + command.append(f"--{k}") + elif v is not None: + command.append(f"--{k}={v}") + return command + + +DEFAULT_LAUNCH_COMMAND = get_launch_command(num_processes=device_count, monitor_interval=0.1) + + +def parse_flag_from_env(key, default=False): + try: + value = os.environ[key] + except KeyError: + # KEY isn't set, default to `default`. + _value = default + else: + # KEY is set, convert it to True or False. + try: + _value = str_to_bool(value) + except ValueError: + # More values are supported, but let's keep the message simple. + raise ValueError(f"If set, {key} must be yes or no.") + return _value + + +_run_slow_tests = parse_flag_from_env("RUN_SLOW", default=False) + + +def skip(test_case): + "Decorator that skips a test unconditionally" + return unittest.skip("Test was skipped")(test_case) + + +def slow(test_case): + """ + Decorator marking a test as slow. Slow tests are skipped by default. Set the RUN_SLOW environment variable to a + truthy value to run them. + """ + return unittest.skipUnless(_run_slow_tests, "test is slow")(test_case) + + +def require_cpu(test_case): + """ + Decorator marking a test that must be only ran on the CPU. These tests are skipped when a GPU is available. + """ + return unittest.skipUnless(torch_device == "cpu", "test requires only a CPU")(test_case) + + +def require_non_cpu(test_case): + """ + Decorator marking a test that requires a hardware accelerator backend. These tests are skipped when there are no + hardware accelerator available. + """ + return unittest.skipUnless(torch_device != "cpu", "test requires a GPU")(test_case) + + +def require_cuda(test_case): + """ + Decorator marking a test that requires CUDA. These tests are skipped when there are no GPU available or when + TorchXLA is available. + """ + return unittest.skipUnless(is_cuda_available() and not is_torch_xla_available(), "test requires a GPU")(test_case) + + +def require_cuda_or_hpu(test_case): + """ + Decorator marking a test that requires CUDA or HPU. These tests are skipped when there are no GPU available or when + TorchXLA is available. + """ + return unittest.skipUnless( + (is_cuda_available() and not is_torch_xla_available()) or is_hpu_available(), "test requires a GPU or HPU" + )(test_case) + + +def require_xpu(test_case): + """ + Decorator marking a test that requires XPU. These tests are skipped when there are no XPU available. + """ + return unittest.skipUnless(is_xpu_available(), "test requires a XPU")(test_case) + + +def require_cuda_or_xpu(test_case): + """ + Decorator marking a test that requires CUDA or XPU. These tests are skipped when there are no GPU available or when + TorchXLA is available. + """ + cuda_condition = is_cuda_available() and not is_torch_xla_available() + xpu_condition = is_xpu_available() + return unittest.skipUnless(cuda_condition or xpu_condition, "test requires a CUDA GPU or XPU")(test_case) + + +def require_non_xpu(test_case): + """ + Decorator marking a test that should be skipped for XPU. + """ + return unittest.skipUnless(torch_device != "xpu", "test requires a non-XPU")(test_case) + + +def require_non_hpu(test_case): + """ + Decorator marking a test that should be skipped for HPU. + """ + return unittest.skipUnless(torch_device != "hpu", "test requires a non-HPU")(test_case) + + +def require_fp16(test_case): + """ + Decorator marking a test that requires FP16. These tests are skipped when FP16 is not supported. + """ + + return unittest.skipUnless(is_fp16_available(), "test requires FP16 support")(test_case) + + +def require_fp8(test_case): + """ + Decorator marking a test that requires FP8. These tests are skipped when FP8 is not supported. + """ + + # is_fp8_available only checks for libraries + # ideally it should check for device capability as well + fp8_is_available = is_fp8_available() + + if torch.cuda.is_available() and not check_cuda_fp8_capability(): + fp8_is_available = False + + if is_hpu_available() and is_habana_gaudi1(): + fp8_is_available = False + + return unittest.skipUnless(fp8_is_available, "test requires FP8 support")(test_case) + + +def require_fsdp2(test_case): + return unittest.skipUnless(is_torch_version(">=", "2.5.0"), "test requires FSDP2 (torch >= 2.5.0)")(test_case) + + +def require_mlu(test_case): + """ + Decorator marking a test that requires MLU. These tests are skipped when there are no MLU available. + """ + return unittest.skipUnless(is_mlu_available(), "test require a MLU")(test_case) + + +def require_sdaa(test_case): + """ + Decorator marking a test that requires SDAA. These tests are skipped when there are no SDAA available. + """ + return unittest.skipUnless(is_sdaa_available(), "test require a SDAA")(test_case) + + +def require_musa(test_case): + """ + Decorator marking a test that requires MUSA. These tests are skipped when there are no MUSA available. + """ + return unittest.skipUnless(is_musa_available(), "test require a MUSA")(test_case) + + +def require_npu(test_case): + """ + Decorator marking a test that requires NPU. These tests are skipped when there are no NPU available. + """ + return unittest.skipUnless(is_npu_available(), "test require a NPU")(test_case) + + +def require_mps(test_case): + """ + Decorator marking a test that requires MPS backend. These tests are skipped when torch doesn't support `mps` + backend. + """ + return unittest.skipUnless(is_mps_available(), "test requires a `mps` backend support in `torch`")(test_case) + + +def require_huggingface_suite(test_case): + """ + Decorator marking a test that requires transformers and datasets. These tests are skipped when they are not. + """ + return unittest.skipUnless( + is_transformers_available() and is_datasets_available(), + "test requires the Hugging Face suite", + )(test_case) + + +def require_transformers(test_case): + """ + Decorator marking a test that requires transformers. These tests are skipped when they are not. + """ + return unittest.skipUnless(is_transformers_available(), "test requires the transformers library")(test_case) + + +def require_timm(test_case): + """ + Decorator marking a test that requires timm. These tests are skipped when they are not. + """ + return unittest.skipUnless(is_timm_available(), "test requires the timm library")(test_case) + + +def require_torchvision(test_case): + """ + Decorator marking a test that requires torchvision. These tests are skipped when they are not. + """ + return unittest.skipUnless(is_torchvision_available(), "test requires the torchvision library")(test_case) + + +def require_triton(test_case): + """ + Decorator marking a test that requires triton. These tests are skipped when they are not. + """ + return unittest.skipUnless(is_triton_available(), "test requires the triton library")(test_case) + + +def require_schedulefree(test_case): + """ + Decorator marking a test that requires schedulefree. These tests are skipped when they are not. + """ + return unittest.skipUnless(is_schedulefree_available(), "test requires the schedulefree library")(test_case) + + +def require_bnb(test_case): + """ + Decorator marking a test that requires bitsandbytes. These tests are skipped when they are not. + """ + return unittest.skipUnless(is_bnb_available(), "test requires the bitsandbytes library")(test_case) + + +def require_tpu(test_case): + """ + Decorator marking a test that requires TPUs. These tests are skipped when there are no TPUs available. + """ + return unittest.skipUnless(is_torch_xla_available(check_is_tpu=True), "test requires TPU")(test_case) + + +def require_non_torch_xla(test_case): + """ + Decorator marking a test as requiring an environment without TorchXLA. These tests are skipped when TorchXLA is + available. + """ + return unittest.skipUnless(not is_torch_xla_available(), "test requires an env without TorchXLA")(test_case) + + +def require_single_device(test_case): + """ + Decorator marking a test that requires a single device. These tests are skipped when there is no hardware + accelerator available or number of devices is more than one. + """ + return unittest.skipUnless( + torch_device != "cpu" and device_count == 1, "test requires a single device accelerator" + )(test_case) + + +def require_single_gpu(test_case): + """ + Decorator marking a test that requires CUDA on a single GPU. These tests are skipped when there are no GPU + available or number of GPUs is more than one. + """ + return unittest.skipUnless(torch.cuda.device_count() == 1, "test requires a GPU")(test_case) + + +def require_single_xpu(test_case): + """ + Decorator marking a test that requires CUDA on a single XPU. These tests are skipped when there are no XPU + available or number of xPUs is more than one. + """ + return unittest.skipUnless(torch.xpu.device_count() == 1, "test requires a XPU")(test_case) + + +def require_multi_device(test_case): + """ + Decorator marking a test that requires a multi-device setup. These tests are skipped on a machine without multiple + devices. + """ + return unittest.skipUnless(device_count > 1, "test requires multiple hardware accelerators")(test_case) + + +def require_multi_gpu(test_case): + """ + Decorator marking a test that requires a multi-GPU setup. These tests are skipped on a machine without multiple + GPUs. + """ + return unittest.skipUnless(torch.cuda.device_count() > 1, "test requires multiple GPUs")(test_case) + + +def require_multi_xpu(test_case): + """ + Decorator marking a test that requires a multi-XPU setup. These tests are skipped on a machine without multiple + XPUs. + """ + return unittest.skipUnless(torch.xpu.device_count() > 1, "test requires multiple XPUs")(test_case) + + +def require_multi_gpu_or_xpu(test_case): + """ + Decorator marking a test that requires a multi-GPU setup. These tests are skipped on a machine without multiple + GPUs or XPUs. + """ + return unittest.skipUnless( + (is_cuda_available() or is_xpu_available()) and device_count > 1, "test requires multiple GPUs or XPUs" + )(test_case) + + +def require_deepspeed(test_case): + """ + Decorator marking a test that requires DeepSpeed installed. These tests are skipped when DeepSpeed isn't installed + """ + return unittest.skipUnless(is_deepspeed_available(), "test requires DeepSpeed")(test_case) + + +def require_tp(test_case): + """ + Decorator marking a test that requires TP installed. These tests are skipped when TP isn't installed + """ + return unittest.skipUnless( + is_torch_version(">=", "2.3.0") and compare_versions("transformers", ">=", "4.52.0"), + "test requires torch version >= 2.3.0 and transformers version >= 4.52.0", + )(test_case) + + +def require_torch_min_version(test_case=None, version=None): + """ + Decorator marking that a test requires a particular torch version to be tested. These tests are skipped when an + installed torch version is less than the required one. + """ + if test_case is None: + return partial(require_torch_min_version, version=version) + return unittest.skipUnless(is_torch_version(">=", version), f"test requires torch version >= {version}")(test_case) + + +def require_tensorboard(test_case): + """ + Decorator marking a test that requires tensorboard installed. These tests are skipped when tensorboard isn't + installed + """ + return unittest.skipUnless(is_tensorboard_available(), "test requires Tensorboard")(test_case) + + +def require_wandb(test_case): + """ + Decorator marking a test that requires wandb installed. These tests are skipped when wandb isn't installed + """ + return unittest.skipUnless(is_wandb_available(), "test requires wandb")(test_case) + + +def require_trackio(test_case): + """ + Decorator marking a test that requires trackio installed. These tests are skipped when trackio isn't installed + """ + return unittest.skipUnless(is_trackio_available(), "test requires trackio")(test_case) + + +def require_comet_ml(test_case): + """ + Decorator marking a test that requires comet_ml installed. These tests are skipped when comet_ml isn't installed + """ + return unittest.skipUnless(is_comet_ml_available(), "test requires comet_ml")(test_case) + + +def require_aim(test_case): + """ + Decorator marking a test that requires aim installed. These tests are skipped when aim isn't installed + """ + return unittest.skipUnless(is_aim_available(), "test requires aim")(test_case) + + +def require_clearml(test_case): + """ + Decorator marking a test that requires clearml installed. These tests are skipped when clearml isn't installed + """ + return unittest.skipUnless(is_clearml_available(), "test requires clearml")(test_case) + + +def require_dvclive(test_case): + """ + Decorator marking a test that requires dvclive installed. These tests are skipped when dvclive isn't installed + """ + return unittest.skipUnless(is_dvclive_available(), "test requires dvclive")(test_case) + + +def require_swanlab(test_case): + """ + Decorator marking a test that requires swanlab installed. These tests are skipped when swanlab isn't installed + """ + return unittest.skipUnless(is_swanlab_available(), "test requires swanlab")(test_case) + + +def require_pandas(test_case): + """ + Decorator marking a test that requires pandas installed. These tests are skipped when pandas isn't installed + """ + return unittest.skipUnless(is_pandas_available(), "test requires pandas")(test_case) + + +def require_mlflow(test_case): + """ + Decorator marking a test that requires mlflow installed. These tests are skipped when mlflow isn't installed + """ + return unittest.skipUnless(is_mlflow_available(), "test requires mlflow")(test_case) + + +def require_pippy(test_case): + """ + Decorator marking a test that requires pippy installed. These tests are skipped when pippy isn't installed It is + also checked if the test is running on a Gaudi1 device which doesn't support pippy. + """ + return unittest.skipUnless(is_pippy_available() and not is_habana_gaudi1(), "test requires pippy")(test_case) + + +def require_import_timer(test_case): + """ + Decorator marking a test that requires tuna interpreter installed. These tests are skipped when tuna isn't + installed + """ + return unittest.skipUnless(is_import_timer_available(), "test requires tuna interpreter")(test_case) + + +def require_transformer_engine(test_case): + """ + Decorator marking a test that requires transformers engine installed. These tests are skipped when transformers + engine isn't installed + """ + return unittest.skipUnless(is_transformer_engine_available(), "test requires transformers engine")(test_case) + + +def require_transformer_engine_mxfp8(test_case): + """ + Decorator marking a test that requires transformers engine MXFP8 block scaling available. These tests are skipped + when transformers engine MXFP8 block scaling isn't available + """ + return unittest.skipUnless( + is_transformer_engine_mxfp8_available(), "test requires transformers engine MXFP8 block scaling" + )(test_case) + + +def require_torchao(test_case): + """ + Decorator marking a test that requires torchao installed. These tests are skipped when torchao isn't installed + """ + return unittest.skipUnless(is_torchao_available(), "test requires torchao")(test_case) + + +def require_matplotlib(test_case): + """ + Decorator marking a test that requires matplotlib installed. These tests are skipped when matplotlib isn't + installed + """ + return unittest.skipUnless(is_matplotlib_available(), "test requires matplotlib")(test_case) + + +_atleast_one_tracker_available = ( + any([is_wandb_available(), is_tensorboard_available(), is_trackio_available(), is_swanlab_available()]) + and not is_comet_ml_available() +) + + +def require_trackers(test_case): + """ + Decorator marking that a test requires at least one tracking library installed. These tests are skipped when none + are installed + """ + return unittest.skipUnless( + _atleast_one_tracker_available, + "test requires at least one tracker to be available and for `comet_ml` to not be installed", + )(test_case) + + +def require_torchdata_stateful_dataloader(test_case): + """ + Decorator marking a test that requires torchdata.stateful_dataloader. + + These tests are skipped when torchdata with stateful_dataloader module isn't installed. + + """ + return unittest.skipUnless( + is_torchdata_stateful_dataloader_available(), "test requires torchdata.stateful_dataloader" + )(test_case) + + +def run_first(test_case): + """ + Decorator marking a test with order(1). When pytest-order plugin is installed, tests marked with this decorator are + guaranteed to run first. + + This is especially useful in some test settings like on a Gaudi instance where a Gaudi device can only be used by a + single process at a time. So we make sure all tests that run in a subprocess are launched first, to avoid device + allocation conflicts. + + If pytest is not installed, test will be returned as is. + """ + + if is_pytest_available(): + import pytest + + return pytest.mark.order(1)(test_case) + return test_case + + +class TempDirTestCase(unittest.TestCase): + """ + A TestCase class that keeps a single `tempfile.TemporaryDirectory` open for the duration of the class, wipes its + data at the start of a test, and then destroys it at the end of the TestCase. + + Useful for when a class or API requires a single constant folder throughout it's use, such as Weights and Biases + + The temporary directory location will be stored in `self.tmpdir` + """ + + clear_on_setup = True + + @classmethod + def setUpClass(cls): + "Creates a `tempfile.TemporaryDirectory` and stores it in `cls.tmpdir`" + cls.tmpdir = Path(tempfile.mkdtemp()) + + @classmethod + def tearDownClass(cls): + "Remove `cls.tmpdir` after test suite has finished" + if os.path.exists(cls.tmpdir): + shutil.rmtree(cls.tmpdir) + + def setUp(self): + "Destroy all contents in `self.tmpdir`, but not `self.tmpdir`" + if self.clear_on_setup: + for path in self.tmpdir.glob("**/*"): + if path.is_file(): + path.unlink() + elif path.is_dir(): + shutil.rmtree(path) + + +class AccelerateTestCase(unittest.TestCase): + """ + A TestCase class that will reset the accelerator state at the end of every test. Every test that checks or utilizes + the `AcceleratorState` class should inherit from this to avoid silent failures due to state being shared between + tests. + """ + + def tearDown(self): + super().tearDown() + # Reset the state of the AcceleratorState singleton. + AcceleratorState._reset_state(True) + + +class MockingTestCase(unittest.TestCase): + """ + A TestCase class designed to dynamically add various mockers that should be used in every test, mimicking the + behavior of a class-wide mock when defining one normally will not do. + + Useful when a mock requires specific information available only initialized after `TestCase.setUpClass`, such as + setting an environment variable with that information. + + The `add_mocks` function should be ran at the end of a `TestCase`'s `setUp` function, after a call to + `super().setUp()` such as: + ```python + def setUp(self): + super().setUp() + mocks = mock.patch.dict(os.environ, {"SOME_ENV_VAR", "SOME_VALUE"}) + self.add_mocks(mocks) + ``` + """ + + def add_mocks(self, mocks: Union[mock.Mock, list[mock.Mock]]): + """ + Add custom mocks for tests that should be repeated on each test. Should be called during + `MockingTestCase.setUp`, after `super().setUp()`. + + Args: + mocks (`mock.Mock` or list of `mock.Mock`): + Mocks that should be added to the `TestCase` after `TestCase.setUpClass` has been run + """ + self.mocks = mocks if isinstance(mocks, (tuple, list)) else [mocks] + for m in self.mocks: + m.start() + self.addCleanup(m.stop) + + +def are_the_same_tensors(tensor): + state = AcceleratorState() + tensor = tensor[None].clone().to(state.device) + tensors = gather(tensor).cpu() + tensor = tensor[0].cpu() + for i in range(tensors.shape[0]): + if not torch.equal(tensors[i], tensor): + return False + return True + + +class _RunOutput: + def __init__(self, returncode, stdout, stderr): + self.returncode = returncode + self.stdout = stdout + self.stderr = stderr + + +async def _read_stream(stream, callback): + while True: + line = await stream.readline() + if line: + callback(line) + else: + break + + +async def _stream_subprocess(cmd, env=None, stdin=None, timeout=None, quiet=False, echo=False) -> _RunOutput: + if echo: + print("\nRunning: ", " ".join(cmd)) + + p = await asyncio.create_subprocess_exec( + cmd[0], + *cmd[1:], + stdin=stdin, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.PIPE, + env=env, + ) + + # note: there is a warning for a possible deadlock when using `wait` with huge amounts of data in the pipe + # https://docs.python.org/3/library/asyncio-subprocess.html#asyncio.asyncio.subprocess.Process.wait + # + # If it starts hanging, will need to switch to the following code. The problem is that no data + # will be seen until it's done and if it hangs for example there will be no debug info. + # out, err = await p.communicate() + # return _RunOutput(p.returncode, out, err) + + out = [] + err = [] + + def tee(line, sink, pipe, label=""): + line = line.decode("utf-8").rstrip() + sink.append(line) + if not quiet: + print(label, line, file=pipe) + + # XXX: the timeout doesn't seem to make any difference here + await asyncio.wait( + [ + asyncio.create_task(_read_stream(p.stdout, lambda l: tee(l, out, sys.stdout, label="stdout:"))), + asyncio.create_task(_read_stream(p.stderr, lambda l: tee(l, err, sys.stderr, label="stderr:"))), + ], + timeout=timeout, + ) + return _RunOutput(await p.wait(), out, err) + + +def execute_subprocess_async(cmd: list, env=None, stdin=None, timeout=180, quiet=False, echo=True) -> _RunOutput: + # Cast every path in `cmd` to a string + for i, c in enumerate(cmd): + if isinstance(c, Path): + cmd[i] = str(c) + loop = asyncio.get_event_loop() + result = loop.run_until_complete( + _stream_subprocess(cmd, env=env, stdin=stdin, timeout=timeout, quiet=quiet, echo=echo) + ) + + cmd_str = " ".join(cmd) + if result.returncode > 0: + stderr = "\n".join(result.stderr) + raise RuntimeError( + f"'{cmd_str}' failed with returncode {result.returncode}\n\n" + f"The combined stderr from workers follows:\n{stderr}" + ) + + return result + + +def pytest_xdist_worker_id(): + """ + Returns an int value of worker's numerical id under `pytest-xdist`'s concurrent workers `pytest -n N` regime, or 0 + if `-n 1` or `pytest-xdist` isn't being used. + """ + worker = os.environ.get("PYTEST_XDIST_WORKER", "gw0") + worker = re.sub(r"^gw", "", worker, 0, re.M) + return int(worker) + + +def get_torch_dist_unique_port(): + """ + Returns a port number that can be fed to `torch.distributed.launch`'s `--master_port` argument. + + Under `pytest-xdist` it adds a delta number based on a worker id so that concurrent tests don't try to use the same + port at once. + """ + port = 29500 + uniq_delta = pytest_xdist_worker_id() + return port + uniq_delta + + +class SubprocessCallException(Exception): + pass + + +def run_command(command: list[str], return_stdout=False, env=None): + """ + Runs `command` with `subprocess.check_output` and will potentially return the `stdout`. Will also properly capture + if an error occurred while running `command` + """ + # Cast every path in `command` to a string + for i, c in enumerate(command): + if isinstance(c, Path): + command[i] = str(c) + if env is None: + env = os.environ.copy() + try: + output = subprocess.check_output(command, stderr=subprocess.STDOUT, env=env) + if return_stdout: + if hasattr(output, "decode"): + output = output.decode("utf-8") + return output + except subprocess.CalledProcessError as e: + raise SubprocessCallException( + f"Command `{' '.join(command)}` failed with the following error:\n\n{e.output.decode()}" + ) from e + + +def path_in_accelerate_package(*components: str) -> Path: + """ + Get a path within the `accelerate` package's directory. + + Args: + *components: Components of the path to join after the package directory. + + Returns: + `Path`: The path to the requested file or directory. + """ + + accelerate_package_dir = Path(inspect.getfile(accelerate)).parent + return accelerate_package_dir.joinpath(*components) + + +@contextmanager +def assert_exception(exception_class: Exception, msg: Optional[str] = None) -> bool: + """ + Context manager to assert that the right `Exception` class was raised. + + If `msg` is provided, will check that the message is contained in the raised exception. + """ + was_ran = False + try: + yield + was_ran = True + except Exception as e: + assert isinstance(e, exception_class), f"Expected exception of type {exception_class} but got {type(e)}" + if msg is not None: + assert msg in str(e), f"Expected message '{msg}' to be in exception but got '{str(e)}'" + if was_ran: + raise AssertionError(f"Expected exception of type {exception_class} but ran without issue.") + + +def capture_call_output(func, *args, **kwargs): + """ + Takes in a `func` with `args` and `kwargs` and returns the captured stdout as a string + """ + captured_output = io.StringIO() + original_stdout = sys.stdout + try: + sys.stdout = captured_output + func(*args, **kwargs) + except Exception as e: + raise e + finally: + sys.stdout = original_stdout + return captured_output.getvalue() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/training.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/training.py new file mode 100644 index 0000000000000000000000000000000000000000..c5e56a50dfa02c093fc0a8f11464ca57a3238ad1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/test_utils/training.py @@ -0,0 +1,148 @@ +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import numpy as np +import torch +from torch.utils.data import DataLoader + +from accelerate.utils.dataclasses import DistributedType + + +class RegressionDataset: + def __init__(self, a=2, b=3, length=64, seed=None): + rng = np.random.default_rng(seed) + self.length = length + self.x = rng.normal(size=(length,)).astype(np.float32) + self.y = a * self.x + b + rng.normal(scale=0.1, size=(length,)).astype(np.float32) + + def __len__(self): + return self.length + + def __getitem__(self, i): + return {"x": self.x[i], "y": self.y[i]} + + +class RegressionModel(torch.nn.Module): + def __init__(self, a=0, b=0, double_output=False): + super().__init__() + self.a = torch.nn.Parameter(torch.tensor(a).float()) + self.b = torch.nn.Parameter(torch.tensor(b).float()) + self.first_batch = True + + def forward(self, x=None): + if self.first_batch: + print(f"Model dtype: {self.a.dtype}, {self.b.dtype}. Input dtype: {x.dtype}") + self.first_batch = False + return x * self.a + self.b + + +def mocked_dataloaders(accelerator, batch_size: int = 16): + from datasets import load_dataset + from transformers import AutoTokenizer + + tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + data_files = {"train": "tests/test_samples/MRPC/train.csv", "validation": "tests/test_samples/MRPC/dev.csv"} + datasets = load_dataset("csv", data_files=data_files) + label_list = datasets["train"].unique("label") + + label_to_id = {v: i for i, v in enumerate(label_list)} + + def tokenize_function(examples): + # max_length=None => use the model max length (it's actually the default) + outputs = tokenizer( + examples["sentence1"], examples["sentence2"], truncation=True, max_length=None, padding="max_length" + ) + if "label" in examples: + outputs["labels"] = [label_to_id[l] for l in examples["label"]] + return outputs + + # Apply the method we just defined to all the examples in all the splits of the dataset + tokenized_datasets = datasets.map( + tokenize_function, + batched=True, + remove_columns=["sentence1", "sentence2", "label"], + ) + + def collate_fn(examples): + # On TPU it's best to pad everything to the same length or training will be very slow. + if accelerator.distributed_type == DistributedType.XLA: + return tokenizer.pad(examples, padding="max_length", max_length=128, return_tensors="pt") + return tokenizer.pad(examples, padding="longest", return_tensors="pt") + + # Instantiate dataloaders. + train_dataloader = DataLoader(tokenized_datasets["train"], shuffle=True, collate_fn=collate_fn, batch_size=2) + eval_dataloader = DataLoader(tokenized_datasets["validation"], shuffle=False, collate_fn=collate_fn, batch_size=1) + + return train_dataloader, eval_dataloader + + +def mocked_dataloaders_for_autoregressive_models(accelerator, batch_size: int = 16): + from datasets import load_dataset + from transformers import AutoTokenizer + + tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/SmolLM-360M") + tokenizer.pad_token = tokenizer.eos_token + + data_files = {"train": "tests/test_samples/MRPC/train.csv", "validation": "tests/test_samples/MRPC/dev.csv"} + datasets = load_dataset("csv", data_files=data_files) + + def tokenize_function(examples): + # max_length=None => use the model max length (it's actually the default) + outputs = tokenizer(examples["sentence1"], truncation=True, max_length=None, return_attention_mask=False) + return outputs + + # Apply the method we just defined to all the examples in all the splits of the dataset + # starting with the main process first: + with accelerator.main_process_first(): + tokenized_datasets = datasets.map( + tokenize_function, + batched=True, + remove_columns=["sentence1", "sentence2", "label"], + ) + + def collate_fn(examples): + # On TPU it's best to pad everything to the same length or training will be very slow. + max_length = ( + 128 + if accelerator.distributed_type == DistributedType.XLA + else max([len(e["input_ids"]) for e in examples]) + ) + # When using mixed precision we want round multiples of 8/16 + if accelerator.mixed_precision == "fp8": + pad_to_multiple_of = 16 + elif accelerator.mixed_precision != "no": + pad_to_multiple_of = 8 + else: + pad_to_multiple_of = None + + batch = tokenizer.pad( + examples, + padding="max_length", + max_length=max_length + 1, + pad_to_multiple_of=pad_to_multiple_of, + return_tensors="pt", + ) + + batch["labels"] = batch["input_ids"][:, 1:] + batch["input_ids"] = batch["input_ids"][:, :-1] + + batch["labels"] = torch.where(batch["labels"] == tokenizer.pad_token_id, -100, batch["labels"]) + + return batch + + # Instantiate dataloaders. + train_dataloader = DataLoader(tokenized_datasets["train"], shuffle=False, collate_fn=collate_fn, batch_size=2) + eval_dataloader = DataLoader(tokenized_datasets["validation"], shuffle=False, collate_fn=collate_fn, batch_size=1) + + return train_dataloader, eval_dataloader diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/tracking.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/tracking.py new file mode 100644 index 0000000000000000000000000000000000000000..ecd722569fcde9956355dc6c81b96c1aac08ea20 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/tracking.py @@ -0,0 +1,1326 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Expectation: +# Provide a project dir name, then each type of logger gets stored in project/{`logging_dir`} + +import json +import os +import time +from functools import wraps +from typing import Any, Optional, Union + +import yaml +from packaging import version + +from .logging import get_logger +from .state import PartialState +from .utils import ( + LoggerType, + compare_versions, + is_aim_available, + is_clearml_available, + is_comet_ml_available, + is_dvclive_available, + is_mlflow_available, + is_swanlab_available, + is_tensorboard_available, + is_trackio_available, + is_wandb_available, + listify, +) + + +_available_trackers = [] + +if is_tensorboard_available(): + _available_trackers.append(LoggerType.TENSORBOARD) + +if is_wandb_available(): + _available_trackers.append(LoggerType.WANDB) + +if is_comet_ml_available(): + _available_trackers.append(LoggerType.COMETML) + +if is_aim_available(): + _available_trackers.append(LoggerType.AIM) + +if is_mlflow_available(): + _available_trackers.append(LoggerType.MLFLOW) + +if is_clearml_available(): + _available_trackers.append(LoggerType.CLEARML) + +if is_dvclive_available(): + _available_trackers.append(LoggerType.DVCLIVE) + +if is_swanlab_available(): + _available_trackers.append(LoggerType.SWANLAB) + +if is_trackio_available(): + _available_trackers.append(LoggerType.TRACKIO) + +logger = get_logger(__name__) + + +def on_main_process(function): + """ + Decorator to selectively run the decorated function on the main process only based on the `main_process_only` + attribute in a class. + + Checks at function execution rather than initialization time, not triggering the initialization of the + `PartialState`. + """ + + @wraps(function) + def execute_on_main_process(self, *args, **kwargs): + if getattr(self, "main_process_only", False): + return PartialState().on_main_process(function)(self, *args, **kwargs) + else: + return function(self, *args, **kwargs) + + return execute_on_main_process + + +def get_available_trackers(): + "Returns a list of all supported available trackers in the system" + return _available_trackers + + +class GeneralTracker: + """ + A base Tracker class to be used for all logging integration implementations. + + Each function should take in `**kwargs` that will automatically be passed in from a base dictionary provided to + [`Accelerator`]. + + Should implement `name`, `requires_logging_directory`, and `tracker` properties such that: + + `name` (`str`): String representation of the tracker class name, such as "TensorBoard" `requires_logging_directory` + (`bool`): Whether the logger requires a directory to store their logs. `tracker` (`object`): Should return internal + tracking mechanism used by a tracker class (such as the `run` for wandb) + + Implementations can also include a `main_process_only` (`bool`) attribute to toggle if relevant logging, init, and + other functions should occur on the main process or across all processes (by default will use `True`) + """ + + main_process_only = True + + def __init__(self, _blank=False): + if not _blank: + err = "" + if not hasattr(self, "name"): + err += "`name`" + if not hasattr(self, "requires_logging_directory"): + if len(err) > 0: + err += ", " + err += "`requires_logging_directory`" + + # as tracker is a @property that relies on post-init + if "tracker" not in dir(self): + if len(err) > 0: + err += ", " + err += "`tracker`" + if len(err) > 0: + raise NotImplementedError( + f"The implementation for this tracker class is missing the following " + f"required attributes. Please define them in the class definition: " + f"{err}" + ) + + def start(self): + """ + Lazy initialization of the tracker inside Accelerator to avoid initializing PartialState before + InitProcessGroupKwargs. + """ + pass + + def store_init_configuration(self, values: dict): + """ + Logs `values` as hyperparameters for the run. Implementations should use the experiment configuration + functionality of a tracking API. + + Args: + values (Dictionary `str` to `bool`, `str`, `float` or `int`): + Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, + `str`, `float`, `int`, or `None`. + """ + pass + + def log(self, values: dict, step: Optional[int], **kwargs): + """ + Logs `values` to the current run. Base `log` implementations of a tracking API should go in here, along with + special behavior for the `step parameter. + + Args: + values (Dictionary `str` to `str`, `float`, or `int`): + Values to be logged as key-value pairs. The values need to have type `str`, `float`, or `int`. + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + """ + pass + + def finish(self): + """ + Should run any finalizing functions within the tracking API. If the API should not have one, just don't + overwrite that method. + """ + pass + + +class TensorBoardTracker(GeneralTracker): + """ + A `Tracker` class that supports `tensorboard`. Should be initialized at the start of your script. + + Args: + run_name (`str`): + The name of the experiment run + logging_dir (`str`, `os.PathLike`): + Location for TensorBoard logs to be stored. + **kwargs (additional keyword arguments, *optional*): + Additional key word arguments passed along to the `tensorboard.SummaryWriter.__init__` method. + """ + + name = "tensorboard" + requires_logging_directory = True + + def __init__(self, run_name: str, logging_dir: Union[str, os.PathLike], **kwargs): + super().__init__() + self.run_name = run_name + self.logging_dir_param = logging_dir + self.init_kwargs = kwargs + + @on_main_process + def start(self): + try: + from torch.utils import tensorboard + except ModuleNotFoundError: + import tensorboardX as tensorboard + self.logging_dir = os.path.join(self.logging_dir_param, self.run_name) + self.writer = tensorboard.SummaryWriter(self.logging_dir, **self.init_kwargs) + logger.debug(f"Initialized TensorBoard project {self.run_name} logging to {self.logging_dir}") + logger.debug( + "Make sure to log any initial configurations with `self.store_init_configuration` before training!" + ) + + @property + def tracker(self): + return self.writer + + @on_main_process + def store_init_configuration(self, values: dict): + """ + Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. Stores the + hyperparameters in a yaml file for future use. + + Args: + values (Dictionary `str` to `bool`, `str`, `float` or `int`): + Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, + `str`, `float`, `int`, or `None`. + """ + self.writer.add_hparams(values, metric_dict={}) + self.writer.flush() + project_run_name = time.time() + dir_name = os.path.join(self.logging_dir, str(project_run_name)) + os.makedirs(dir_name, exist_ok=True) + with open(os.path.join(dir_name, "hparams.yml"), "w") as outfile: + try: + yaml.dump(values, outfile) + except yaml.representer.RepresenterError: + logger.error("Serialization to store hyperparameters failed") + raise + logger.debug("Stored initial configuration hyperparameters to TensorBoard and hparams yaml file") + + @on_main_process + def log(self, values: dict, step: Optional[int] = None, **kwargs): + """ + Logs `values` to the current run. + + Args: + values (Dictionary `str` to `str`, `float`, `int` or `dict` of `str` to `float`/`int`): + Values to be logged as key-value pairs. The values need to have type `str`, `float`, `int` or `dict` of + `str` to `float`/`int`. + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to either `SummaryWriter.add_scaler`, + `SummaryWriter.add_text`, or `SummaryWriter.add_scalers` method based on the contents of `values`. + """ + values = listify(values) + for k, v in values.items(): + if isinstance(v, (int, float)): + self.writer.add_scalar(k, v, global_step=step, **kwargs) + elif isinstance(v, str): + self.writer.add_text(k, v, global_step=step, **kwargs) + elif isinstance(v, dict): + self.writer.add_scalars(k, v, global_step=step, **kwargs) + self.writer.flush() + logger.debug("Successfully logged to TensorBoard") + + @on_main_process + def log_images(self, values: dict, step: Optional[int], **kwargs): + """ + Logs `images` to the current run. + + Args: + values (Dictionary `str` to `List` of `np.ndarray` or `PIL.Image`): + Values to be logged as key-value pairs. The values need to have type `List` of `np.ndarray` or + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to the `SummaryWriter.add_image` method. + """ + for k, v in values.items(): + self.writer.add_images(k, v, global_step=step, **kwargs) + logger.debug("Successfully logged images to TensorBoard") + + @on_main_process + def finish(self): + """ + Closes `TensorBoard` writer + """ + self.writer.close() + logger.debug("TensorBoard writer closed") + + +class WandBTracker(GeneralTracker): + """ + A `Tracker` class that supports `wandb`. Should be initialized at the start of your script. + + Args: + run_name (`str`): + The name of the experiment run. + **kwargs (additional keyword arguments, *optional*): + Additional key word arguments passed along to the `wandb.init` method. + """ + + name = "wandb" + requires_logging_directory = False + main_process_only = False + + def __init__(self, run_name: str, **kwargs): + super().__init__() + self.run_name = run_name + self.init_kwargs = kwargs + + @on_main_process + def start(self): + import wandb + + self.run = wandb.init(project=self.run_name, **self.init_kwargs) + logger.debug(f"Initialized WandB project {self.run_name}") + logger.debug( + "Make sure to log any initial configurations with `self.store_init_configuration` before training!" + ) + + @property + def tracker(self): + return self.run + + @on_main_process + def store_init_configuration(self, values: dict): + """ + Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. + + Args: + values (Dictionary `str` to `bool`, `str`, `float` or `int`): + Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, + `str`, `float`, `int`, or `None`. + """ + import wandb + + if os.environ.get("WANDB_MODE") == "offline": + # In offline mode, restart wandb with config included + if hasattr(self, "run") and self.run: + self.run.finish() + + init_kwargs = self.init_kwargs.copy() + init_kwargs["config"] = values + self.run = wandb.init(project=self.run_name, **init_kwargs) + else: + wandb.config.update(values, allow_val_change=True) + logger.debug("Stored initial configuration hyperparameters to WandB") + + @on_main_process + def log(self, values: dict, step: Optional[int] = None, **kwargs): + """ + Logs `values` to the current run. + + Args: + values (Dictionary `str` to `str`, `float`, `int` or `dict` of `str` to `float`/`int`): + Values to be logged as key-value pairs. The values need to have type `str`, `float`, `int` or `dict` of + `str` to `float`/`int`. + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to the `wandb.log` method. + """ + self.run.log(values, step=step, **kwargs) + logger.debug("Successfully logged to WandB") + + @on_main_process + def log_images(self, values: dict, step: Optional[int] = None, **kwargs): + """ + Logs `images` to the current run. + + Args: + values (Dictionary `str` to `List` of `np.ndarray` or `PIL.Image`): + Values to be logged as key-value pairs. The values need to have type `List` of `np.ndarray` or + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to the `wandb.log` method. + """ + import wandb + + for k, v in values.items(): + self.log({k: [wandb.Image(image) for image in v]}, step=step, **kwargs) + logger.debug("Successfully logged images to WandB") + + @on_main_process + def log_table( + self, + table_name: str, + columns: Optional[list[str]] = None, + data: Optional[list[list[Any]]] = None, + dataframe: Any = None, + step: Optional[int] = None, + **kwargs, + ): + """ + Log a Table containing any object type (text, image, audio, video, molecule, html, etc). Can be defined either + with `columns` and `data` or with `dataframe`. + + Args: + table_name (`str`): + The name to give to the logged table on the wandb workspace + columns (list of `str`, *optional*): + The name of the columns on the table + data (List of List of Any data type, *optional*): + The data to be logged in the table + dataframe (Any data type, *optional*): + The data to be logged in the table + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + """ + import wandb + + values = {table_name: wandb.Table(columns=columns, data=data, dataframe=dataframe)} + self.log(values, step=step, **kwargs) + + @on_main_process + def finish(self): + """ + Closes `wandb` writer + """ + self.run.finish() + logger.debug("WandB run closed") + + +class TrackioTracker(GeneralTracker): + """ + A `Tracker` class that supports `trackio`. Should be initialized at the start of your script. + + Args: + run_name (`str`): + The name of the experiment run. Will be used as the `project` name when instantiating trackio. + **kwargs (additional keyword arguments, *optional*): + Additional key word arguments passed along to the `trackio.init` method. Refer to this + [init](https://github.com/gradio-app/trackio/blob/814809552310468b13f84f33764f1369b4e5136c/trackio/__init__.py#L22) + to see all supported key word arguments. + """ + + name = "trackio" + requires_logging_directory = False + main_process_only = False + + def __init__(self, run_name: str, **kwargs): + super().__init__() + self.run_name = run_name + self.init_kwargs = kwargs + + @on_main_process + def start(self): + import trackio + + self.run = trackio.init(project=self.run_name, **self.init_kwargs) + logger.debug(f"Initialized trackio project {self.run_name}") + logger.debug( + "Make sure to log any initial configurations with `self.store_init_configuration` before training!" + ) + + @property + def tracker(self): + return self.run + + @on_main_process + def store_init_configuration(self, values: dict): + """ + Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. + + Args: + values (Dictionary `str` to `bool`, `str`, `float` or `int`): + Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, + `str`, `float`, `int`, or `None`. + """ + import trackio + + trackio.config.update(values, allow_val_change=True) + logger.debug("Stored initial configuration hyperparameters to trackio") + + @on_main_process + def log(self, values: dict, step: Optional[int] = None, **kwargs): + """ + Logs `values` to the current run. + + Args: + values (Dictionary `str` to `str`, `float`, `int` or `dict` of `str` to `float`/`int`): + Values to be logged as key-value pairs. The values need to have type `str`, `float`, `int` or `dict` of + `str` to `float`/`int`. + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to the `trackio.log` method. + """ + self.run.log(values, **kwargs) + logger.debug("Successfully logged to trackio") + + @on_main_process + def finish(self): + """ + Closes `trackio` run + """ + self.run.finish() + logger.debug("trackio run closed") + + +class CometMLTracker(GeneralTracker): + """ + A `Tracker` class that supports `comet_ml`. Should be initialized at the start of your script. + + API keys must be stored in a Comet config file. + + Note: + For `comet_ml` versions < 3.41.0, additional keyword arguments are passed to `comet_ml.Experiment` instead: + https://www.comet.com/docs/v2/api-and-sdk/python-sdk/reference/Experiment/#comet_ml.Experiment.__init__ + + Args: + run_name (`str`): + The name of the experiment run. + **kwargs (additional keyword arguments, *optional*): + Additional key word arguments passed along to the `comet_ml.start` method: + https://www.comet.com/docs/v2/api-and-sdk/python-sdk/reference/start/ + """ + + name = "comet_ml" + requires_logging_directory = False + + def __init__(self, run_name: str, **kwargs): + super().__init__() + self.run_name = run_name + self.init_kwargs = kwargs + + @on_main_process + def start(self): + import comet_ml + + comet_version = version.parse(comet_ml.__version__) + if compare_versions(comet_version, ">=", "3.41.0"): + self.writer = comet_ml.start(project_name=self.run_name, **self.init_kwargs) + else: + logger.info("Update `comet_ml` (>=3.41.0) for experiment reuse and offline support.") + self.writer = comet_ml.Experiment(project_name=self.run_name, **self.init_kwargs) + + logger.debug(f"Initialized CometML project {self.run_name}") + logger.debug( + "Make sure to log any initial configurations with `self.store_init_configuration` before training!" + ) + + @property + def tracker(self): + return self.writer + + @on_main_process + def store_init_configuration(self, values: dict): + """ + Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. + + Args: + values (Dictionary `str` to `bool`, `str`, `float` or `int`): + Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, + `str`, `float`, `int`, or `None`. + """ + self.writer.log_parameters(values) + logger.debug("Stored initial configuration hyperparameters to Comet") + + @on_main_process + def log(self, values: dict, step: Optional[int] = None, **kwargs): + """ + Logs `values` to the current run. + + Args: + values (Dictionary `str` to `str`, `float`, `int` or `dict` of `str` to `float`/`int`): + Values to be logged as key-value pairs. The values need to have type `str`, `float`, `int` or `dict` of + `str` to `float`/`int`. + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to either `Experiment.log_metric`, `Experiment.log_other`, + or `Experiment.log_metrics` method based on the contents of `values`. + """ + if step is not None: + self.writer.set_step(step) + for k, v in values.items(): + if isinstance(v, (int, float)): + self.writer.log_metric(k, v, step=step, **kwargs) + elif isinstance(v, str): + self.writer.log_other(k, v, **kwargs) + elif isinstance(v, dict): + self.writer.log_metrics(v, step=step, **kwargs) + logger.debug("Successfully logged to Comet") + + @on_main_process + def finish(self): + """ + Flush `comet-ml` writer + """ + self.writer.end() + logger.debug("Comet run flushed") + + +class AimTracker(GeneralTracker): + """ + A `Tracker` class that supports `aim`. Should be initialized at the start of your script. + + Args: + run_name (`str`): + The name of the experiment run. + **kwargs (additional keyword arguments, *optional*): + Additional key word arguments passed along to the `Run.__init__` method. + """ + + name = "aim" + requires_logging_directory = True + + def __init__(self, run_name: str, logging_dir: Optional[Union[str, os.PathLike]] = ".", **kwargs): + super().__init__() + self.run_name = run_name + self.aim_repo_path = logging_dir + self.init_kwargs = kwargs + + @on_main_process + def start(self): + from aim import Run + + self.writer = Run(repo=self.aim_repo_path, **self.init_kwargs) + self.writer.name = self.run_name + logger.debug(f"Initialized Aim project {self.run_name}") + logger.debug( + "Make sure to log any initial configurations with `self.store_init_configuration` before training!" + ) + + @property + def tracker(self): + return self.writer + + @on_main_process + def store_init_configuration(self, values: dict): + """ + Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. + + Args: + values (`dict`): + Values to be stored as initial hyperparameters as key-value pairs. + """ + self.writer["hparams"] = values + + @on_main_process + def log(self, values: dict, step: Optional[int], **kwargs): + """ + Logs `values` to the current run. + + Args: + values (`dict`): + Values to be logged as key-value pairs. + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to the `Run.track` method. + """ + # Note: replace this with the dictionary support when merged + for key, value in values.items(): + self.writer.track(value, name=key, step=step, **kwargs) + + @on_main_process + def log_images(self, values: dict, step: Optional[int] = None, kwargs: Optional[dict[str, dict]] = None): + """ + Logs `images` to the current run. + + Args: + values (`Dict[str, Union[np.ndarray, PIL.Image, Tuple[np.ndarray, str], Tuple[PIL.Image, str]]]`): + Values to be logged as key-value pairs. The values need to have type `np.ndarray` or PIL.Image. If a + tuple is provided, the first element should be the image and the second element should be the caption. + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs (`Dict[str, dict]`): + Additional key word arguments passed along to the `Run.Image` and `Run.track` method specified by the + keys `aim_image` and `track`, respectively. + """ + import aim + + aim_image_kw = {} + track_kw = {} + + if kwargs is not None: + aim_image_kw = kwargs.get("aim_image", {}) + track_kw = kwargs.get("track", {}) + + for key, value in values.items(): + if isinstance(value, tuple): + img, caption = value + else: + img, caption = value, "" + aim_image = aim.Image(img, caption=caption, **aim_image_kw) + self.writer.track(aim_image, name=key, step=step, **track_kw) + + @on_main_process + def finish(self): + """ + Closes `aim` writer + """ + self.writer.close() + + +class MLflowTracker(GeneralTracker): + """ + A `Tracker` class that supports `mlflow`. Should be initialized at the start of your script. + + Args: + experiment_name (`str`, *optional*): + Name of the experiment. Environment variable MLFLOW_EXPERIMENT_NAME has priority over this argument. + logging_dir (`str` or `os.PathLike`, defaults to `"."`): + Location for mlflow logs to be stored. + run_id (`str`, *optional*): + If specified, get the run with the specified UUID and log parameters and metrics under that run. The run’s + end time is unset and its status is set to running, but the run’s other attributes (source_version, + source_type, etc.) are not changed. Environment variable MLFLOW_RUN_ID has priority over this argument. + tags (`Dict[str, str]`, *optional*): + An optional `dict` of `str` keys and values, or a `str` dump from a `dict`, to set as tags on the run. If a + run is being resumed, these tags are set on the resumed run. If a new run is being created, these tags are + set on the new run. Environment variable MLFLOW_TAGS has priority over this argument. + nested_run (`bool`, *optional*, defaults to `False`): + Controls whether run is nested in parent run. True creates a nested run. Environment variable + MLFLOW_NESTED_RUN has priority over this argument. + run_name (`str`, *optional*): + Name of new run (stored as a mlflow.runName tag). Used only when `run_id` is unspecified. + description (`str`, *optional*): + An optional string that populates the description box of the run. If a run is being resumed, the + description is set on the resumed run. If a new run is being created, the description is set on the new + run. + """ + + name = "mlflow" + requires_logging_directory = False + + def __init__( + self, + experiment_name: Optional[str] = None, + logging_dir: Optional[Union[str, os.PathLike]] = None, + run_id: Optional[str] = None, + tags: Optional[Union[dict[str, Any], str]] = None, + nested_run: Optional[bool] = False, + run_name: Optional[str] = None, + description: Optional[str] = None, + ): + experiment_name = os.environ.get("MLFLOW_EXPERIMENT_NAME", experiment_name) + run_id = os.environ.get("MLFLOW_RUN_ID", run_id) + tags = os.environ.get("MLFLOW_TAGS", tags) + if isinstance(tags, str): + tags = json.loads(tags) + + nested_run = os.environ.get("MLFLOW_NESTED_RUN", nested_run) + + self.experiment_name = experiment_name + self.logging_dir = logging_dir + self.run_id = run_id + self.tags = tags + self.nested_run = nested_run + self.run_name = run_name + self.description = description + + @on_main_process + def start(self): + import mlflow + + exps = mlflow.search_experiments(filter_string=f"name = '{self.experiment_name}'") + if len(exps) > 0: + if len(exps) > 1: + logger.warning("Multiple experiments with the same name found. Using first one.") + experiment_id = exps[0].experiment_id + else: + experiment_id = mlflow.create_experiment( + name=self.experiment_name, + artifact_location=self.logging_dir, + tags=self.tags, + ) + + self.active_run = mlflow.start_run( + run_id=self.run_id, + experiment_id=experiment_id, + run_name=self.run_name, + nested=self.nested_run, + tags=self.tags, + description=self.description, + ) + + logger.debug(f"Initialized mlflow experiment {self.experiment_name}") + logger.debug( + "Make sure to log any initial configurations with `self.store_init_configuration` before training!" + ) + + @property + def tracker(self): + return self.active_run + + @on_main_process + def store_init_configuration(self, values: dict): + """ + Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. + + Args: + values (`dict`): + Values to be stored as initial hyperparameters as key-value pairs. + """ + import mlflow + + for name, value in list(values.items()): + # internally, all values are converted to str in MLflow + if len(str(value)) > mlflow.utils.validation.MAX_PARAM_VAL_LENGTH: + logger.warning_once( + f'Accelerate is attempting to log a value of "{value}" for key "{name}" as a parameter. MLflow\'s' + f" log_param() only accepts values no longer than {mlflow.utils.validation.MAX_PARAM_VAL_LENGTH} characters so we dropped this attribute." + ) + del values[name] + + values_list = list(values.items()) + + # MLflow cannot log more than 100 values in one go, so we have to split it + for i in range(0, len(values_list), mlflow.utils.validation.MAX_PARAMS_TAGS_PER_BATCH): + mlflow.log_params(dict(values_list[i : i + mlflow.utils.validation.MAX_PARAMS_TAGS_PER_BATCH])) + + logger.debug("Stored initial configuration hyperparameters to MLflow") + + @on_main_process + def log(self, values: dict, step: Optional[int]): + """ + Logs `values` to the current run. + + Args: + values (`dict`): + Values to be logged as key-value pairs. + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + """ + metrics = {} + for k, v in values.items(): + if isinstance(v, (int, float)): + metrics[k] = v + else: + logger.warning_once( + f'MLflowTracker is attempting to log a value of "{v}" of type {type(v)} for key "{k}" as a metric. ' + "MLflow's log_metric() only accepts float and int types so we dropped this attribute." + ) + import mlflow + + mlflow.log_metrics(metrics, step=step) + logger.debug("Successfully logged to mlflow") + + @on_main_process + def log_figure(self, figure: Any, artifact_file: str, **save_kwargs): + """ + Logs an figure to the current run. + + Args: + figure (Any): + The figure to be logged. + artifact_file (`str`, *optional*): + The run-relative artifact file path in posixpath format to which the image is saved. + If not provided, the image is saved to a default location. + **kwargs: + Additional keyword arguments passed to the underlying mlflow.log_image function. + """ + import mlflow + + mlflow.log_figure(figure=figure, artifact_file=artifact_file, **save_kwargs) + logger.debug("Successfully logged image to mlflow") + + @on_main_process + def log_artifacts(self, local_dir: str, artifact_path: Optional[str] = None): + """ + Logs an artifacts (all content of a dir) to the current run. + + local_dir (`str`): + Path to the directory to be logged as an artifact. + artifact_path (`str`, *optional*): + Directory within the run's artifact directory where the artifact will be logged. If omitted, the + artifact will be logged to the root of the run's artifact directory. The run step. If included, the + artifact will be affiliated with this step. + """ + import mlflow + + mlflow.log_artifacts(local_dir=local_dir, artifact_path=artifact_path) + logger.debug("Successfully logged artofact to mlflow") + + @on_main_process + def log_artifact(self, local_path: str, artifact_path: Optional[str] = None): + """ + Logs an artifact (file) to the current run. + + local_path (`str`): + Path to the file to be logged as an artifact. + artifact_path (`str`, *optional*): + Directory within the run's artifact directory where the artifact will be logged. If omitted, the + artifact will be logged to the root of the run's artifact directory. The run step. If included, the + artifact will be affiliated with this step. + """ + import mlflow + + mlflow.log_artifact(local_path=local_path, artifact_path=artifact_path) + logger.debug("Successfully logged artofact to mlflow") + + @on_main_process + def finish(self): + """ + End the active MLflow run. + """ + import mlflow + + mlflow.end_run() + + +class ClearMLTracker(GeneralTracker): + """ + A `Tracker` class that supports `clearml`. Should be initialized at the start of your script. + + Args: + run_name (`str`, *optional*): + Name of the experiment. Environment variables `CLEARML_PROJECT` and `CLEARML_TASK` have priority over this + argument. + **kwargs (additional keyword arguments, *optional*): + Kwargs passed along to the `Task.__init__` method. + """ + + name = "clearml" + requires_logging_directory = False + + def __init__(self, run_name: Optional[str] = None, **kwargs): + super().__init__() + self.user_provided_run_name = run_name + self._initialized_externally = False + self.init_kwargs = kwargs + + @on_main_process + def start(self): + from clearml import Task + + current_task = Task.current_task() + if current_task: + self._initialized_externally = True + self.task = current_task + return + + task_init_args = {**self.init_kwargs} + task_init_args.setdefault("project_name", os.environ.get("CLEARML_PROJECT", self.user_provided_run_name)) + task_init_args.setdefault("task_name", os.environ.get("CLEARML_TASK", self.user_provided_run_name)) + self.task = Task.init(**task_init_args) + + @property + def tracker(self): + return self.task + + @on_main_process + def store_init_configuration(self, values: dict): + """ + Connect configuration dictionary to the Task object. Should be run at the beginning of your experiment. + + Args: + values (`dict`): + Values to be stored as initial hyperparameters as key-value pairs. + """ + return self.task.connect_configuration(values) + + @on_main_process + def log(self, values: dict[str, Union[int, float]], step: Optional[int] = None, **kwargs): + """ + Logs `values` dictionary to the current run. The dictionary keys must be strings. The dictionary values must be + ints or floats + + Args: + values (`Dict[str, Union[int, float]]`): + Values to be logged as key-value pairs. If the key starts with 'eval_'/'test_'/'train_', the value will + be reported under the 'eval'/'test'/'train' series and the respective prefix will be removed. + Otherwise, the value will be reported under the 'train' series, and no prefix will be removed. + step (`int`, *optional*): + If specified, the values will be reported as scalars, with the iteration number equal to `step`. + Otherwise they will be reported as single values. + kwargs: + Additional key word arguments passed along to the `clearml.Logger.report_single_value` or + `clearml.Logger.report_scalar` methods. + """ + clearml_logger = self.task.get_logger() + for k, v in values.items(): + if not isinstance(v, (int, float)): + logger.warning_once( + "Accelerator is attempting to log a value of " + f'"{v}" of type {type(v)} for key "{k}" as a scalar. ' + "This invocation of ClearML logger's report_scalar() " + "is incorrect so we dropped this attribute." + ) + continue + if step is None: + clearml_logger.report_single_value(name=k, value=v, **kwargs) + continue + title, series = ClearMLTracker._get_title_series(k) + clearml_logger.report_scalar(title=title, series=series, value=v, iteration=step, **kwargs) + + @on_main_process + def log_images(self, values: dict, step: Optional[int] = None, **kwargs): + """ + Logs `images` to the current run. + + Args: + values (`Dict[str, List[Union[np.ndarray, PIL.Image]]`): + Values to be logged as key-value pairs. The values need to have type `List` of `np.ndarray` or + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to the `clearml.Logger.report_image` method. + """ + clearml_logger = self.task.get_logger() + for k, v in values.items(): + title, series = ClearMLTracker._get_title_series(k) + clearml_logger.report_image(title=title, series=series, iteration=step, image=v, **kwargs) + + @on_main_process + def log_table( + self, + table_name: str, + columns: Optional[list[str]] = None, + data: Optional[list[list[Any]]] = None, + dataframe: Any = None, + step: Optional[int] = None, + **kwargs, + ): + """ + Log a Table to the task. Can be defined eitherwith `columns` and `data` or with `dataframe`. + + Args: + table_name (`str`): + The name of the table + columns (list of `str`, *optional*): + The name of the columns on the table + data (List of List of Any data type, *optional*): + The data to be logged in the table. If `columns` is not specified, then the first entry in data will be + the name of the columns of the table + dataframe (Any data type, *optional*): + The data to be logged in the table + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to the `clearml.Logger.report_table` method. + """ + to_report = dataframe + if dataframe is None: + if data is None: + raise ValueError( + "`ClearMLTracker.log_table` requires that `data` to be supplied if `dataframe` is `None`" + ) + to_report = [columns] + data if columns else data + title, series = ClearMLTracker._get_title_series(table_name) + self.task.get_logger().report_table(title=title, series=series, table_plot=to_report, iteration=step, **kwargs) + + @on_main_process + def finish(self): + """ + Close the ClearML task. If the task was initialized externally (e.g. by manually calling `Task.init`), this + function is a noop + """ + if self.task and not self._initialized_externally: + self.task.close() + + @staticmethod + def _get_title_series(name): + for prefix in ["eval", "test", "train"]: + if name.startswith(prefix + "_"): + return name[len(prefix) + 1 :], prefix + return name, "train" + + +class DVCLiveTracker(GeneralTracker): + """ + A `Tracker` class that supports `dvclive`. Should be initialized at the start of your script. + + Args: + run_name (`str`, *optional*): + Ignored for dvclive. See `kwargs` instead. + kwargs: + Additional key word arguments passed along to [`dvclive.Live()`](https://dvc.org/doc/dvclive/live). + + Example: + + ```py + from accelerate import Accelerator + + accelerator = Accelerator(log_with="dvclive") + accelerator.init_trackers(project_name="my_project", init_kwargs={"dvclive": {"dir": "my_directory"}}) + ``` + """ + + name = "dvclive" + requires_logging_directory = False + + def __init__(self, run_name: Optional[str] = None, live: Optional[Any] = None, **kwargs): + super().__init__() + self.live = live + self.init_kwargs = kwargs + + @on_main_process + def start(self): + from dvclive import Live + + self.live = self.live if self.live is not None else Live(**self.init_kwargs) + + @property + def tracker(self): + return self.live + + @on_main_process + def store_init_configuration(self, values: dict): + """ + Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. Stores the + hyperparameters in a yaml file for future use. + + Args: + values (Dictionary `str` to `bool`, `str`, `float`, `int`, or a List or Dict of those types): + Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, + `str`, `float`, or `int`. + """ + self.live.log_params(values) + + @on_main_process + def log(self, values: dict, step: Optional[int] = None, **kwargs): + """ + Logs `values` to the current run. + + Args: + values (Dictionary `str` to `str`, `float`, or `int`): + Values to be logged as key-value pairs. The values need to have type `str`, `float`, or `int`. + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to `dvclive.Live.log_metric()`. + """ + from dvclive.plots import Metric + + if step is not None: + self.live.step = step + for k, v in values.items(): + if Metric.could_log(v): + self.live.log_metric(k, v, **kwargs) + else: + logger.warning_once( + "Accelerator attempted to log a value of " + f'"{v}" of type {type(v)} for key "{k}" as a scalar. ' + "This invocation of DVCLive's Live.log_metric() " + "is incorrect so we dropped this attribute." + ) + self.live.next_step() + + @on_main_process + def finish(self): + """ + Closes `dvclive.Live()`. + """ + self.live.end() + + +class SwanLabTracker(GeneralTracker): + """ + A `Tracker` class that supports `swanlab`. Should be initialized at the start of your script. + + Args: + run_name (`str`): + The name of the experiment run. + **kwargs (additional keyword arguments, *optional*): + Additional key word arguments passed along to the `swanlab.init` method. + """ + + name = "swanlab" + requires_logging_directory = False + main_process_only = False + + def __init__(self, run_name: str, **kwargs): + super().__init__() + self.run_name = run_name + self.init_kwargs = kwargs + + @on_main_process + def start(self): + import swanlab + + self.run = swanlab.init(project=self.run_name, **self.init_kwargs) + swanlab.config["FRAMEWORK"] = "🤗Accelerate" # add accelerate logo in config + logger.debug(f"Initialized SwanLab project {self.run_name}") + logger.debug( + "Make sure to log any initial configurations with `self.store_init_configuration` before training!" + ) + + @property + def tracker(self): + return self.run + + @on_main_process + def store_init_configuration(self, values: dict): + """ + Logs `values` as hyperparameters for the run. Should be run at the beginning of your experiment. + + Args: + values (Dictionary `str` to `bool`, `str`, `float` or `int`): + Values to be stored as initial hyperparameters as key-value pairs. The values need to have type `bool`, + `str`, `float`, `int`, or `None`. + """ + import swanlab + + swanlab.config.update(values, allow_val_change=True) + logger.debug("Stored initial configuration hyperparameters to SwanLab") + + @on_main_process + def log(self, values: dict, step: Optional[int] = None, **kwargs): + """ + Logs `values` to the current run. + + Args: + data : Dict[str, DataType] + Data must be a dict. The key must be a string with 0-9, a-z, A-Z, " ", "_", "-", "/". The value must be a + `float`, `float convertible object`, `int` or `swanlab.data.BaseType`. + step : int, optional + The step number of the current data, if not provided, it will be automatically incremented. + If step is duplicated, the data will be ignored. + kwargs: + Additional key word arguments passed along to the `swanlab.log` method. Likes: + print_to_console : bool, optional + Whether to print the data to the console, the default is False. + """ + self.run.log(values, step=step, **kwargs) + logger.debug("Successfully logged to SwanLab") + + @on_main_process + def log_images(self, values: dict, step: Optional[int] = None, **kwargs): + """ + Logs `images` to the current run. + + Args: + values (Dictionary `str` to `List` of `np.ndarray` or `PIL.Image`): + Values to be logged as key-value pairs. The values need to have type `List` of `np.ndarray` or + step (`int`, *optional*): + The run step. If included, the log will be affiliated with this step. + kwargs: + Additional key word arguments passed along to the `swanlab.log` method. Likes: + print_to_console : bool, optional + Whether to print the data to the console, the default is False. + """ + import swanlab + + for k, v in values.items(): + self.log({k: [swanlab.Image(image) for image in v]}, step=step, **kwargs) + logger.debug("Successfully logged images to SwanLab") + + @on_main_process + def finish(self): + """ + Closes `swanlab` writer + """ + self.run.finish() + logger.debug("SwanLab run closed") + + +LOGGER_TYPE_TO_CLASS = { + "aim": AimTracker, + "comet_ml": CometMLTracker, + "mlflow": MLflowTracker, + "tensorboard": TensorBoardTracker, + "wandb": WandBTracker, + "clearml": ClearMLTracker, + "dvclive": DVCLiveTracker, + "swanlab": SwanLabTracker, + "trackio": TrackioTracker, +} + + +def filter_trackers( + log_with: list[Union[str, LoggerType, GeneralTracker]], + logging_dir: Optional[Union[str, os.PathLike]] = None, +): + """ + Takes in a list of potential tracker types and checks that: + - The tracker wanted is available in that environment + - Filters out repeats of tracker types + - If `all` is in `log_with`, will return all trackers in the environment + - If a tracker requires a `logging_dir`, ensures that `logging_dir` is not `None` + + Args: + log_with (list of `str`, [`~utils.LoggerType`] or [`~tracking.GeneralTracker`], *optional*): + A list of loggers to be setup for experiment tracking. Should be one or several of: + + - `"all"` + - `"tensorboard"` + - `"wandb"` + - `"trackio"` + - `"aim"` + - `"comet_ml"` + - `"mlflow"` + - `"dvclive"` + - `"swanlab"` + If `"all"` is selected, will pick up all available trackers in the environment and initialize them. Can + also accept implementations of `GeneralTracker` for custom trackers, and can be combined with `"all"`. + logging_dir (`str`, `os.PathLike`, *optional*): + A path to a directory for storing logs of locally-compatible loggers. + """ + loggers = [] + if log_with is not None: + if not isinstance(log_with, (list, tuple)): + log_with = [log_with] + if "all" in log_with or LoggerType.ALL in log_with: + loggers = [o for o in log_with if issubclass(type(o), GeneralTracker)] + get_available_trackers() + else: + for log_type in log_with: + if log_type not in LoggerType and not issubclass(type(log_type), GeneralTracker): + raise ValueError(f"Unsupported logging capability: {log_type}. Choose between {LoggerType.list()}") + if issubclass(type(log_type), GeneralTracker): + loggers.append(log_type) + else: + log_type = LoggerType(log_type) + if log_type not in loggers: + if log_type in get_available_trackers(): + tracker_init = LOGGER_TYPE_TO_CLASS[str(log_type)] + if tracker_init.requires_logging_directory: + if logging_dir is None: + raise ValueError( + f"Logging with `{log_type}` requires a `logging_dir` to be passed in." + ) + loggers.append(log_type) + else: + logger.debug(f"Tried adding logger {log_type}, but package is unavailable in the system.") + + return loggers diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..d9696b1bb2aa5f944e8df4f54b3f4e9201d0d9ba --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/__init__.py @@ -0,0 +1,306 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from ..parallelism_config import ParallelismConfig +from .ao import convert_model_to_fp8_ao, filter_first_and_last_linear_layers, has_ao_layers +from .constants import ( + MITA_PROFILING_AVAILABLE_PYTORCH_VERSION, + MODEL_NAME, + OPTIMIZER_NAME, + PROFILE_PATTERN_NAME, + RNG_STATE_NAME, + SAFE_MODEL_NAME, + SAFE_WEIGHTS_INDEX_NAME, + SAFE_WEIGHTS_NAME, + SAFE_WEIGHTS_PATTERN_NAME, + SAMPLER_NAME, + SCALER_NAME, + SCHEDULER_NAME, + TORCH_DISTRIBUTED_OPERATION_TYPES, + TORCH_LAUNCH_PARAMS, + WEIGHTS_INDEX_NAME, + WEIGHTS_NAME, + WEIGHTS_PATTERN_NAME, + XPU_PROFILING_AVAILABLE_PYTORCH_VERSION, +) +from .dataclasses import ( + AORecipeKwargs, + AutocastKwargs, + BnbQuantizationConfig, + ComputeEnvironment, + CustomDtype, + DataLoaderConfiguration, + DDPCommunicationHookType, + DeepSpeedPlugin, + DeepSpeedSequenceParallelConfig, + DistributedDataParallelKwargs, + DistributedType, + DynamoBackend, + FP8RecipeKwargs, + FullyShardedDataParallelPlugin, + GradientAccumulationPlugin, + GradScalerKwargs, + InitProcessGroupKwargs, + KwargsHandler, + LoggerType, + MegatronLMPlugin, + MSAMPRecipeKwargs, + PrecisionType, + ProfileKwargs, + ProjectConfiguration, + RNGType, + SageMakerDistributedType, + TensorInformation, + TERecipeKwargs, + TorchContextParallelConfig, + TorchDynamoPlugin, + TorchTensorParallelConfig, + TorchTensorParallelPlugin, + add_model_config_to_megatron_parser, +) +from .environment import ( + are_libraries_initialized, + check_cuda_fp8_capability, + check_cuda_p2p_ib_support, + clear_environment, + convert_dict_to_env_variables, + get_cpu_distributed_information, + get_current_device_type, + get_gpu_info, + get_int_from_env, + parse_choice_from_env, + parse_flag_from_env, + patch_environment, + purge_accelerate_environment, + set_numa_affinity, + str_to_bool, +) +from .imports import ( + deepspeed_required, + get_ccl_version, + is_4bit_bnb_available, + is_8bit_bnb_available, + is_aim_available, + is_bf16_available, + is_bitsandbytes_multi_backend_available, + is_bnb_available, + is_boto3_available, + is_ccl_available, + is_clearml_available, + is_comet_ml_available, + is_cuda_available, + is_datasets_available, + is_deepspeed_available, + is_dvclive_available, + is_fp8_available, + is_fp16_available, + is_habana_gaudi1, + is_hpu_available, + is_import_timer_available, + is_ipex_available, + is_lomo_available, + is_matplotlib_available, + is_megatron_lm_available, + is_mlflow_available, + is_mlu_available, + is_mps_available, + is_msamp_available, + is_musa_available, + is_npu_available, + is_pandas_available, + is_peft_available, + is_pippy_available, + is_pynvml_available, + is_pytest_available, + is_rich_available, + is_sagemaker_available, + is_schedulefree_available, + is_sdaa_available, + is_swanlab_available, + is_tensorboard_available, + is_timm_available, + is_torch_xla_available, + is_torchao_available, + is_torchdata_available, + is_torchdata_stateful_dataloader_available, + is_torchvision_available, + is_trackio_available, + is_transformer_engine_available, + is_transformer_engine_mxfp8_available, + is_transformers_available, + is_triton_available, + is_wandb_available, + is_weights_only_available, + is_xccl_available, + is_xpu_available, + torchao_required, +) +from .modeling import ( + align_module_device, + calculate_maximum_sizes, + check_device_map, + check_tied_parameters_in_config, + check_tied_parameters_on_same_device, + compute_module_sizes, + convert_file_size_to_int, + dtype_byte_size, + find_tied_parameters, + get_balanced_memory, + get_grad_scaler, + get_max_layer_size, + get_max_memory, + get_mixed_precision_context_manager, + has_offloaded_params, + id_tensor_storage, + infer_auto_device_map, + is_peft_model, + load_checkpoint_in_model, + load_offloaded_weights, + load_state_dict, + named_module_tensors, + retie_parameters, + set_module_tensor_to_device, +) +from .offload import ( + OffloadedWeightsLoader, + PrefixedDataset, + extract_submodules_state_dict, + load_offloaded_weight, + offload_state_dict, + offload_weight, + save_offload_index, +) +from .operations import ( + CannotPadNestedTensorWarning, + GatheredParameters, + broadcast, + broadcast_object_list, + concatenate, + convert_outputs_to_fp32, + convert_to_fp32, + copy_tensor_to_devices, + find_batch_size, + find_device, + gather, + gather_object, + get_data_structure, + honor_type, + ignorant_find_batch_size, + initialize_tensors, + is_namedtuple, + is_tensor_information, + is_torch_tensor, + listify, + pad_across_processes, + pad_input_tensors, + recursively_apply, + reduce, + send_to_device, + slice_tensors, +) +from .versions import compare_versions, is_torch_version + + +if is_deepspeed_available(): + from .deepspeed import ( + DeepSpeedEngineWrapper, + DeepSpeedOptimizerWrapper, + DeepSpeedSchedulerWrapper, + DummyOptim, + DummyScheduler, + HfDeepSpeedConfig, + get_active_deepspeed_plugin, + map_pytorch_optim_to_deepspeed, + ) + +from .bnb import has_4bit_bnb_layers, load_and_quantize_model +from .fsdp_utils import ( + disable_fsdp_ram_efficient_loading, + enable_fsdp_ram_efficient_loading, + ensure_weights_retied, + fsdp2_apply_ac, + fsdp2_canonicalize_names, + fsdp2_load_full_state_dict, + fsdp2_prepare_model, + fsdp2_switch_optimizer_parameters, + get_fsdp2_grad_scaler, + load_fsdp_model, + load_fsdp_optimizer, + merge_fsdp_weights, + save_fsdp_model, + save_fsdp_optimizer, +) +from .launch import ( + PrepareForLaunch, + _filter_args, + prepare_deepspeed_cmd_env, + prepare_multi_gpu_env, + prepare_sagemager_args_inputs, + prepare_simple_launcher_cmd_env, + prepare_tpu, +) + +# For docs +from .megatron_lm import ( + AbstractTrainStep, + BertTrainStep, + GPTTrainStep, + MegatronLMDummyDataLoader, + MegatronLMDummyScheduler, + T5TrainStep, + avg_losses_across_data_parallel_group, +) + + +if is_megatron_lm_available(): + from .megatron_lm import ( + MegatronEngine, + MegatronLMOptimizerWrapper, + MegatronLMSchedulerWrapper, + gather_across_data_parallel_groups, + ) + from .megatron_lm import initialize as megatron_lm_initialize + from .megatron_lm import prepare_data_loader as megatron_lm_prepare_data_loader + from .megatron_lm import prepare_model_optimizer_scheduler as megatron_lm_prepare_model_optimizer_scheduler + from .megatron_lm import prepare_optimizer as megatron_lm_prepare_optimizer + from .megatron_lm import prepare_scheduler as megatron_lm_prepare_scheduler +from .memory import find_executable_batch_size, release_memory +from .other import ( + check_os_kernel, + clean_state_dict_for_safetensors, + compile_regions, + compile_regions_deepspeed, + convert_bytes, + extract_model_from_parallel, + get_module_children_bottom_up, + get_pretty_name, + has_compiled_regions, + is_compiled_module, + is_port_in_use, + load, + merge_dicts, + model_has_dtensor, + recursive_getattr, + save, + wait_for_everyone, + write_basic_config, +) +from .random import set_seed, synchronize_rng_state, synchronize_rng_states +from .torch_xla import install_xla +from .tqdm import tqdm +from .transformer_engine import ( + apply_fp8_autowrap, + contextual_fp8_autocast, + convert_model, + has_transformer_engine_layers, +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/ao.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/ao.py new file mode 100644 index 0000000000000000000000000000000000000000..73155615b768a01f709bb8e0857617ba58a6ec83 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/ao.py @@ -0,0 +1,140 @@ +# Copyright 2025 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +Needed utilities for torchao FP8 training. +""" + +from functools import partial +from typing import TYPE_CHECKING, Callable, Optional + +import torch + +from .imports import is_torchao_available, torchao_required + + +if TYPE_CHECKING: + if is_torchao_available(): + from torchao.float8.float8_linear import Float8LinearConfig + + +def find_first_last_linear_layers(model: torch.nn.Module): + """ + Finds the first and last linear layer names in a model. + + This is needed during FP8 to avoid issues with instability by keeping the first and last layers unquantized. + + Ref: https://x.com/xariusrke/status/1826669142604141052 + """ + first_linear, last_linear = None, None + for name, module in model.named_modules(): + if isinstance(module, torch.nn.Linear): + if first_linear is None: + first_linear = name + last_linear = name + return first_linear, last_linear + + +def filter_linear_layers(module, fqn: str, layers_to_filter: list[str]) -> bool: + """ + A function which will check if `module` is: + - a `torch.nn.Linear` layer + - has in_features and out_features divisible by 16 + - is not part of `layers_to_filter` + + Args: + module (`torch.nn.Module`): + The module to check. + fqn (`str`): + The fully qualified name of the layer. + layers_to_filter (`List[str]`): + The list of layers to filter. + """ + if isinstance(module, torch.nn.Linear): + if module.in_features % 16 != 0 or module.out_features % 16 != 0: + return False + if fqn in layers_to_filter: + return False + return True + + +def filter_first_and_last_linear_layers(module, fqn: str) -> bool: + """ + A filter function which will filter out all linear layers except the first and last. + + + + For stability reasons, we skip the first and last linear layers Otherwise can lead to the model not training or + converging properly + + + + Args: + module (`torch.nn.Module`): + The module to check. + fqn (`str`): + The fully qualified name of the layer. + """ + first_linear, last_linear = find_first_last_linear_layers(module) + return filter_linear_layers(module, fqn, layers_to_filter=[first_linear, last_linear]) + + +@torchao_required +def has_ao_layers(model: torch.nn.Module): + from torchao.float8.float8_linear import Float8Linear + + for name, module in model.named_modules(): + if isinstance(module, Float8Linear): + return True + return False + + +@torchao_required +def convert_model_to_fp8_ao( + model: torch.nn.Module, + config: Optional["Float8LinearConfig"] = None, + module_filter_func: Optional[Callable] = filter_first_and_last_linear_layers, +): + """ + Converts all `nn.Linear` layers in the model (except the first and last) to torchao's `Float8Linear` layer inplace. + + Args: + model (`torch.nn.Module`): + The model to convert. + config (`torchao.float8.Float8LinearConfig`, *optional*): + The configuration for the FP8 training. Recommended to utilize + `torchao.float8.recipe_name_to_linear_config` to generate this. In general, the default config should be + sufficient (what is passed when set to `None`). + module_filter_func (`Callable`, *optional*, defaults to `filter_linear_layers`): + Optional function that must take in a module and layer name, and returns a boolean indicating whether the + module should be converted to FP8. Defaults to `filter_linear_layers`. See it for an example. + + Example: + + ```python + from accelerate.utils.ao import convert_model_to_fp8_ao + + model = MyModel() + model.to("cuda") + convert_to_float8_training(model) + + model.train() + ``` + """ + from torchao.float8 import convert_to_float8_training + + first_linear, last_linear = find_first_last_linear_layers(model) + if module_filter_func is None: + module_filter_func = partial(filter_linear_layers, layers_to_filter=[first_linear, last_linear]) + convert_to_float8_training(model, module_filter_fn=module_filter_func, config=config) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/bnb.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/bnb.py new file mode 100644 index 0000000000000000000000000000000000000000..5fbd46eb2f1a3cb07adb2ffb1f15e8f63f26fcff --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/bnb.py @@ -0,0 +1,469 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +import logging +import os +from copy import deepcopy +from typing import Optional, Union + +import torch +import torch.nn as nn + +from accelerate.utils.imports import ( + is_4bit_bnb_available, + is_8bit_bnb_available, +) + +from ..big_modeling import dispatch_model, init_empty_weights +from .dataclasses import BnbQuantizationConfig +from .modeling import ( + find_tied_parameters, + get_balanced_memory, + infer_auto_device_map, + load_checkpoint_in_model, + offload_weight, + set_module_tensor_to_device, +) + + +logger = logging.getLogger(__name__) + + +def load_and_quantize_model( + model: torch.nn.Module, + bnb_quantization_config: BnbQuantizationConfig, + weights_location: Optional[Union[str, os.PathLike]] = None, + device_map: Optional[dict[str, Union[int, str, torch.device]]] = None, + no_split_module_classes: Optional[list[str]] = None, + max_memory: Optional[dict[Union[int, str], Union[int, str]]] = None, + offload_folder: Optional[Union[str, os.PathLike]] = None, + offload_state_dict: bool = False, +): + """ + This function will quantize the input model with the associated config passed in `bnb_quantization_config`. If the + model is in the meta device, we will load and dispatch the weights according to the `device_map` passed. If the + model is already loaded, we will quantize the model and put the model on the GPU, + + Args: + model (`torch.nn.Module`): + Input model. The model can be already loaded or on the meta device + bnb_quantization_config (`BnbQuantizationConfig`): + The bitsandbytes quantization parameters + weights_location (`str` or `os.PathLike`): + The folder weights_location to load. It can be: + - a path to a file containing a whole model state dict + - a path to a `.json` file containing the index to a sharded checkpoint + - a path to a folder containing a unique `.index.json` file and the shards of a checkpoint. + - a path to a folder containing a unique pytorch_model.bin file. + device_map (`Dict[str, Union[int, str, torch.device]]`, *optional*): + A map that specifies where each submodule should go. It doesn't need to be refined to each parameter/buffer + name, once a given module name is inside, every submodule of it will be sent to the same device. + no_split_module_classes (`List[str]`, *optional*): + A list of layer class names that should never be split across device (for instance any layer that has a + residual connection). + max_memory (`Dict`, *optional*): + A dictionary device identifier to maximum memory. Will default to the maximum memory available if unset. + offload_folder (`str` or `os.PathLike`, *optional*): + If the `device_map` contains any value `"disk"`, the folder where we will offload weights. + offload_state_dict (`bool`, *optional*, defaults to `False`): + If `True`, will temporarily offload the CPU state dict on the hard drive to avoid getting out of CPU RAM if + the weight of the CPU state dict + the biggest shard does not fit. + + Returns: + `torch.nn.Module`: The quantized model + """ + + load_in_4bit = bnb_quantization_config.load_in_4bit + load_in_8bit = bnb_quantization_config.load_in_8bit + + if load_in_8bit and not is_8bit_bnb_available(): + raise ImportError( + "You have a version of `bitsandbytes` that is not compatible with 8bit quantization," + " make sure you have the latest version of `bitsandbytes` installed." + ) + if load_in_4bit and not is_4bit_bnb_available(): + raise ValueError( + "You have a version of `bitsandbytes` that is not compatible with 4bit quantization," + "make sure you have the latest version of `bitsandbytes` installed." + ) + + modules_on_cpu = [] + # custom device map + if isinstance(device_map, dict) and len(device_map.keys()) > 1: + modules_on_cpu = [key for key, value in device_map.items() if value in ["disk", "cpu"]] + + # We keep some modules such as the lm_head in their original dtype for numerical stability reasons + if bnb_quantization_config.skip_modules is None: + bnb_quantization_config.skip_modules = get_keys_to_not_convert(model) + + # add cpu modules to skip modules only for 4-bit modules + if load_in_4bit: + bnb_quantization_config.skip_modules.extend(modules_on_cpu) + modules_to_not_convert = bnb_quantization_config.skip_modules + + # We add the modules we want to keep in full precision + if bnb_quantization_config.keep_in_fp32_modules is None: + bnb_quantization_config.keep_in_fp32_modules = [] + keep_in_fp32_modules = bnb_quantization_config.keep_in_fp32_modules + modules_to_not_convert.extend(keep_in_fp32_modules) + + # compatibility with peft + model.is_loaded_in_4bit = load_in_4bit + model.is_loaded_in_8bit = load_in_8bit + + model_device = get_parameter_device(model) + if model_device.type != "meta": + # quantization of an already loaded model + logger.warning( + "It is not recommended to quantize a loaded model. " + "The model should be instantiated under the `init_empty_weights` context manager." + ) + model = replace_with_bnb_layers(model, bnb_quantization_config, modules_to_not_convert=modules_to_not_convert) + # convert param to the right dtype + dtype = bnb_quantization_config.torch_dtype + for name, param in model.state_dict().items(): + if any(module_to_keep_in_fp32 in name for module_to_keep_in_fp32 in keep_in_fp32_modules): + param.to(torch.float32) + if param.dtype != torch.float32: + name = name.replace(".weight", "").replace(".bias", "") + param = getattr(model, name, None) + if param is not None: + param.to(torch.float32) + elif torch.is_floating_point(param): + param.to(dtype) + if model_device.type == "cuda": + model.cuda(torch.cuda.current_device()) + torch.cuda.empty_cache() + elif torch.cuda.is_available(): + model.to(torch.cuda.current_device()) + elif torch.xpu.is_available(): + model.to(torch.xpu.current_device()) + else: + raise RuntimeError("No GPU or Intel XPU found. A GPU or Intel XPU is needed for quantization.") + logger.info( + f"The model device type is {model_device.type}. However, gpu or intel xpu is needed for quantization." + "We move the model to it." + ) + return model + + elif weights_location is None: + raise RuntimeError( + f"`weights_location` needs to be the folder path containing the weights of the model, but we found {weights_location} " + ) + + else: + with init_empty_weights(): + model = replace_with_bnb_layers( + model, bnb_quantization_config, modules_to_not_convert=modules_to_not_convert + ) + device_map = get_quantized_model_device_map( + model, + bnb_quantization_config, + device_map, + max_memory=max_memory, + no_split_module_classes=no_split_module_classes, + ) + if offload_state_dict is None and device_map is not None and "disk" in device_map.values(): + offload_state_dict = True + + offload = any(x in list(device_map.values()) for x in ["cpu", "disk"]) + + load_checkpoint_in_model( + model, + weights_location, + device_map, + dtype=bnb_quantization_config.torch_dtype, + offload_folder=offload_folder, + offload_state_dict=offload_state_dict, + keep_in_fp32_modules=bnb_quantization_config.keep_in_fp32_modules, + offload_8bit_bnb=load_in_8bit and offload, + ) + return dispatch_model(model, device_map=device_map, offload_dir=offload_folder) + + +def get_quantized_model_device_map( + model, bnb_quantization_config, device_map=None, max_memory=None, no_split_module_classes=None +): + if device_map is None: + if torch.cuda.is_available(): + device_map = {"": torch.cuda.current_device()} + elif torch.xpu.is_available(): + device_map = {"": torch.xpu.current_device()} + else: + raise RuntimeError("No GPU found. A GPU is needed for quantization.") + logger.info("The device_map was not initialized.Setting device_map to `{'':torch.cuda.current_device()}`.") + + if isinstance(device_map, str): + if device_map not in ["auto", "balanced", "balanced_low_0", "sequential"]: + raise ValueError( + "If passing a string for `device_map`, please choose 'auto', 'balanced', 'balanced_low_0' or " + "'sequential'." + ) + + special_dtypes = {} + special_dtypes.update( + { + name: bnb_quantization_config.torch_dtype + for name, _ in model.named_parameters() + if any(m in name for m in bnb_quantization_config.skip_modules) + } + ) + special_dtypes.update( + { + name: torch.float32 + for name, _ in model.named_parameters() + if any(m in name for m in bnb_quantization_config.keep_in_fp32_modules) + } + ) + + kwargs = {} + kwargs["special_dtypes"] = special_dtypes + kwargs["no_split_module_classes"] = no_split_module_classes + kwargs["dtype"] = bnb_quantization_config.target_dtype + + # get max_memory for each device. + if device_map != "sequential": + max_memory = get_balanced_memory( + model, + low_zero=(device_map == "balanced_low_0"), + max_memory=max_memory, + **kwargs, + ) + + kwargs["max_memory"] = max_memory + device_map = infer_auto_device_map(model, **kwargs) + + if isinstance(device_map, dict): + # check if don't have any quantized module on the cpu + modules_not_to_convert = bnb_quantization_config.skip_modules + bnb_quantization_config.keep_in_fp32_modules + + device_map_without_some_modules = { + key: device_map[key] for key in device_map.keys() if key not in modules_not_to_convert + } + for device in ["cpu", "disk"]: + if device in device_map_without_some_modules.values(): + if bnb_quantization_config.load_in_4bit: + raise ValueError( + """ + Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit + the quantized model. If you want to dispatch the model on the CPU or the disk while keeping + these modules in `torch_dtype`, you need to pass a custom `device_map` to + `load_and_quantize_model`. Check + https://huggingface.co/docs/accelerate/main/en/usage_guides/quantization#offload-modules-to-cpu-and-disk + for more details. + """ + ) + else: + logger.info( + "Some modules are are offloaded to the CPU or the disk. Note that these modules will be converted to 8-bit" + ) + del device_map_without_some_modules + return device_map + + +def replace_with_bnb_layers(model, bnb_quantization_config, modules_to_not_convert=None, current_key_name=None): + """ + A helper function to replace all `torch.nn.Linear` modules by `bnb.nn.Linear8bit` modules or by `bnb.nn.Linear4bit` + modules from the `bitsandbytes`library. The function will be run recursively and replace `torch.nn.Linear` modules. + + Parameters: + model (`torch.nn.Module`): + Input model or `torch.nn.Module` as the function is run recursively. + modules_to_not_convert (`List[str]`): + Names of the modules to not quantize convert. In practice we keep the `lm_head` in full precision for + numerical stability reasons. + current_key_name (`List[str]`, *optional*): + An array to track the current key of the recursion. This is used to check whether the current key (part of + it) is not in the list of modules to not convert. + """ + + if modules_to_not_convert is None: + modules_to_not_convert = [] + + model, has_been_replaced = _replace_with_bnb_layers( + model, bnb_quantization_config, modules_to_not_convert, current_key_name + ) + if not has_been_replaced: + logger.warning( + "You are loading your model in 8bit or 4bit but no linear modules were found in your model." + " this can happen for some architectures such as gpt2 that uses Conv1D instead of Linear layers." + " Please double check your model architecture, or submit an issue on github if you think this is" + " a bug." + ) + return model + + +def _replace_with_bnb_layers( + model, + bnb_quantization_config, + modules_to_not_convert=None, + current_key_name=None, +): + """ + Private method that wraps the recursion for module replacement. + + Returns the converted model and a boolean that indicates if the conversion has been successful or not. + """ + # bitsandbytes will initialize CUDA on import, so it needs to be imported lazily + import bitsandbytes as bnb + + has_been_replaced = False + for name, module in model.named_children(): + if current_key_name is None: + current_key_name = [] + current_key_name.append(name) + if isinstance(module, nn.Linear) and name not in modules_to_not_convert: + # Check if the current key is not in the `modules_to_not_convert` + current_key_name_str = ".".join(current_key_name) + proceed = True + for key in modules_to_not_convert: + if ( + (key in current_key_name_str) and (key + "." in current_key_name_str) + ) or key == current_key_name_str: + proceed = False + break + if proceed: + # Load bnb module with empty weight and replace ``nn.Linear` module + if bnb_quantization_config.load_in_8bit: + bnb_module = bnb.nn.Linear8bitLt( + module.in_features, + module.out_features, + module.bias is not None, + has_fp16_weights=False, + threshold=bnb_quantization_config.llm_int8_threshold, + ) + elif bnb_quantization_config.load_in_4bit: + bnb_module = bnb.nn.Linear4bit( + module.in_features, + module.out_features, + module.bias is not None, + bnb_quantization_config.bnb_4bit_compute_dtype, + compress_statistics=bnb_quantization_config.bnb_4bit_use_double_quant, + quant_type=bnb_quantization_config.bnb_4bit_quant_type, + ) + else: + raise ValueError("load_in_8bit and load_in_4bit can't be both False") + bnb_module.weight.data = module.weight.data + if module.bias is not None: + bnb_module.bias.data = module.bias.data + bnb_module.requires_grad_(False) + setattr(model, name, bnb_module) + has_been_replaced = True + if len(list(module.children())) > 0: + _, _has_been_replaced = _replace_with_bnb_layers( + module, bnb_quantization_config, modules_to_not_convert, current_key_name + ) + has_been_replaced = has_been_replaced | _has_been_replaced + # Remove the last key for recursion + current_key_name.pop(-1) + return model, has_been_replaced + + +def get_keys_to_not_convert(model): + r""" + An utility function to get the key of the module to keep in full precision if any For example for CausalLM modules + we may want to keep the lm_head in full precision for numerical stability reasons. For other architectures, we want + to keep the tied weights of the model. The function will return a list of the keys of the modules to not convert in + int8. + + Parameters: + model (`torch.nn.Module`): + Input model + """ + # Create a copy of the model + with init_empty_weights(): + tied_model = deepcopy(model) # this has 0 cost since it is done inside `init_empty_weights` context manager` + + tied_params = find_tied_parameters(tied_model) + # For compatibility with Accelerate < 0.18 + if isinstance(tied_params, dict): + tied_keys = sum(list(tied_params.values()), []) + list(tied_params.keys()) + else: + tied_keys = sum(tied_params, []) + has_tied_params = len(tied_keys) > 0 + + # Check if it is a base model + is_base_model = False + if hasattr(model, "base_model_prefix"): + is_base_model = not hasattr(model, model.base_model_prefix) + + # Ignore this for base models (BertModel, GPT2Model, etc.) + if (not has_tied_params) and is_base_model: + return [] + + # otherwise they have an attached head + list_modules = list(model.named_children()) + list_last_module = [list_modules[-1][0]] + + # add last module together with tied weights + intersection = set(list_last_module) - set(tied_keys) + list_untouched = list(set(tied_keys)) + list(intersection) + + # remove ".weight" from the keys + names_to_remove = [".weight", ".bias"] + filtered_module_names = [] + for name in list_untouched: + for name_to_remove in names_to_remove: + if name_to_remove in name: + name = name.replace(name_to_remove, "") + filtered_module_names.append(name) + + return filtered_module_names + + +def has_4bit_bnb_layers(model): + """Check if we have `bnb.nn.Linear4bit` or `bnb.nn.Linear8bitLt` layers inside our model""" + # bitsandbytes will initialize CUDA on import, so it needs to be imported lazily + import bitsandbytes as bnb + + for m in model.modules(): + if isinstance(m, bnb.nn.Linear4bit): + return True + return False + + +def get_parameter_device(parameter: nn.Module): + return next(parameter.parameters()).device + + +def quantize_and_offload_8bit(model, param, param_name, new_dtype, offload_folder, offload_index, fp16_statistics): + # if it is not quantized, we quantize and offload the quantized weights and the SCB stats + if fp16_statistics is None: + set_module_tensor_to_device(model, param_name, 0, dtype=new_dtype, value=param) + tensor_name = param_name + module = model + if "." in tensor_name: + splits = tensor_name.split(".") + for split in splits[:-1]: + new_module = getattr(module, split) + if new_module is None: + raise ValueError(f"{module} has no attribute {split}.") + module = new_module + tensor_name = splits[-1] + # offload weights + module._parameters[tensor_name].requires_grad = False + offload_weight(module._parameters[tensor_name], param_name, offload_folder, index=offload_index) + if hasattr(module._parameters[tensor_name], "SCB"): + offload_weight( + module._parameters[tensor_name].SCB, + param_name.replace("weight", "SCB"), + offload_folder, + index=offload_index, + ) + else: + offload_weight(param, param_name, offload_folder, index=offload_index) + offload_weight(fp16_statistics, param_name.replace("weight", "SCB"), offload_folder, index=offload_index) + + set_module_tensor_to_device(model, param_name, "meta", dtype=new_dtype, value=torch.empty(*param.size())) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/constants.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/constants.py new file mode 100644 index 0000000000000000000000000000000000000000..10a381309f9aed121f8e17e1a7464aa58657a785 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/constants.py @@ -0,0 +1,106 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import operator as op + +import torch + + +SCALER_NAME = "scaler.pt" +MODEL_NAME = "pytorch_model" +SAFE_MODEL_NAME = "model" +RNG_STATE_NAME = "random_states" +OPTIMIZER_NAME = "optimizer" +SCHEDULER_NAME = "scheduler" +SAMPLER_NAME = "sampler" +PROFILE_PATTERN_NAME = "profile_{suffix}.json" +WEIGHTS_NAME = f"{MODEL_NAME}.bin" +WEIGHTS_PATTERN_NAME = "pytorch_model{suffix}.bin" +WEIGHTS_INDEX_NAME = f"{WEIGHTS_NAME}.index.json" +SAFE_WEIGHTS_NAME = f"{SAFE_MODEL_NAME}.safetensors" +SAFE_WEIGHTS_PATTERN_NAME = "model{suffix}.safetensors" +SAFE_WEIGHTS_INDEX_NAME = f"{SAFE_WEIGHTS_NAME}.index.json" +SAGEMAKER_PYTORCH_VERSION = "1.10.2" +SAGEMAKER_PYTHON_VERSION = "py38" +SAGEMAKER_TRANSFORMERS_VERSION = "4.17.0" +SAGEMAKER_PARALLEL_EC2_INSTANCES = ["ml.p3.16xlarge", "ml.p3dn.24xlarge", "ml.p4dn.24xlarge"] +FSDP_SHARDING_STRATEGY = ["FULL_SHARD", "SHARD_GRAD_OP", "NO_SHARD", "HYBRID_SHARD", "HYBRID_SHARD_ZERO2"] +FSDP_AUTO_WRAP_POLICY = ["TRANSFORMER_BASED_WRAP", "SIZE_BASED_WRAP", "NO_WRAP"] +FSDP_BACKWARD_PREFETCH = ["BACKWARD_PRE", "BACKWARD_POST", "NO_PREFETCH"] +FSDP_STATE_DICT_TYPE = ["FULL_STATE_DICT", "LOCAL_STATE_DICT", "SHARDED_STATE_DICT"] +FSDP2_STATE_DICT_TYPE = ["SHARDED_STATE_DICT", "FULL_STATE_DICT"] +FSDP_PYTORCH_VERSION = ( + "2.1.0.a0+32f93b1" # Technically should be 2.1.0, but MS-AMP uses this specific prerelease in their Docker image. +) +FSDP2_PYTORCH_VERSION = "2.6.0" +FSDP_MODEL_NAME = "pytorch_model_fsdp" +DEEPSPEED_MULTINODE_LAUNCHERS = ["pdsh", "standard", "openmpi", "mvapich", "mpich", "nossh", "slurm"] +TORCH_DYNAMO_MODES = ["default", "reduce-overhead", "max-autotune"] +ELASTIC_LOG_LINE_PREFIX_TEMPLATE_PYTORCH_VERSION = "2.2.0" +XPU_PROFILING_AVAILABLE_PYTORCH_VERSION = "2.4.0" +MITA_PROFILING_AVAILABLE_PYTORCH_VERSION = "2.1.0" +BETA_TP_AVAILABLE_PYTORCH_VERSION = "2.3.0" + +BETA_TP_AVAILABLE_TRANSFORMERS_VERSION = "4.52.0" +BETA_CP_AVAILABLE_PYTORCH_VERSION = "2.6.0" +BETA_SP_AVAILABLE_DEEPSPEED_VERSION = "0.18.2" + +STR_OPERATION_TO_FUNC = {">": op.gt, ">=": op.ge, "==": op.eq, "!=": op.ne, "<=": op.le, "<": op.lt} + +# These are the args for `torch.distributed.launch` for pytorch < 1.9 +TORCH_LAUNCH_PARAMS = [ + "nnodes", + "nproc_per_node", + "rdzv_backend", + "rdzv_endpoint", + "rdzv_id", + "rdzv_conf", + "standalone", + "max_restarts", + "monitor_interval", + "start_method", + "role", + "module", + "m", + "no_python", + "run_path", + "log_dir", + "r", + "redirects", + "t", + "tee", + "node_rank", + "master_addr", + "master_port", +] + +CUDA_DISTRIBUTED_TYPES = ["DEEPSPEED", "MULTI_GPU", "FSDP", "MEGATRON_LM", "TP"] +TORCH_DISTRIBUTED_OPERATION_TYPES = CUDA_DISTRIBUTED_TYPES + [ + "MULTI_NPU", + "MULTI_MLU", + "MULTI_SDAA", + "MULTI_MUSA", + "MULTI_XPU", + "MULTI_CPU", + "MULTI_HPU", +] +SUPPORTED_PYTORCH_LAYERS_FOR_UPCASTING = ( + torch.nn.Conv1d, + torch.nn.Conv2d, + torch.nn.Conv3d, + torch.nn.ConvTranspose1d, + torch.nn.ConvTranspose2d, + torch.nn.ConvTranspose3d, + torch.nn.Linear, +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/dataclasses.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/dataclasses.py new file mode 100644 index 0000000000000000000000000000000000000000..b226c25d312fe18022714dcd9af8ac7a90ab2775 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/dataclasses.py @@ -0,0 +1,2985 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +General namespace and dataclass related classes +""" + +import argparse +import copy +import enum +import functools +import logging +import os +import warnings +from collections.abc import Iterable +from contextlib import contextmanager +from dataclasses import dataclass, field +from datetime import timedelta +from typing import TYPE_CHECKING, Any, Callable, Literal, Optional, Union, get_args + +import torch + +from .constants import ( + BETA_CP_AVAILABLE_PYTORCH_VERSION, + BETA_TP_AVAILABLE_PYTORCH_VERSION, + BETA_TP_AVAILABLE_TRANSFORMERS_VERSION, + FSDP2_PYTORCH_VERSION, + FSDP_AUTO_WRAP_POLICY, + FSDP_BACKWARD_PREFETCH, + FSDP_SHARDING_STRATEGY, + MITA_PROFILING_AVAILABLE_PYTORCH_VERSION, + XPU_PROFILING_AVAILABLE_PYTORCH_VERSION, +) +from .environment import parse_flag_from_env, str_to_bool +from .imports import ( + is_cuda_available, + is_hpu_available, + is_mlu_available, + is_msamp_available, + is_musa_available, + is_npu_available, + is_transformer_engine_available, + is_xpu_available, +) +from .versions import compare_versions, is_torch_version + + +if TYPE_CHECKING: + # Mock imports for type checking + from torchao.float8 import Float8LinearConfig + + +logger = logging.getLogger(__name__) + + +class KwargsHandler: + """ + Internal mixin that implements a `to_kwargs()` method for a dataclass. + """ + + def to_dict(self): + return copy.deepcopy(self.__dict__) + + def to_kwargs(self): + """ + Returns a dictionary containing the attributes with values different from the default of this class. + """ + # import clear_environment here to avoid circular import problem + from .environment import clear_environment + + with clear_environment(): + default_dict = self.__class__().to_dict() + this_dict = self.to_dict() + return {k: v for k, v in this_dict.items() if default_dict[k] != v} + + +class EnumWithContains(enum.EnumMeta): + "A metaclass that adds the ability to check if `self` contains an item with the `in` operator" + + def __contains__(cls, item): + try: + cls(item) + except ValueError: + return False + return True + + +class BaseEnum(enum.Enum, metaclass=EnumWithContains): + "An enum class that can get the value of an item with `str(Enum.key)`" + + def __str__(self): + return self.value + + @classmethod + def list(cls): + "Method to list all the possible items in `cls`" + return list(map(str, cls)) + + +@dataclass +class AutocastKwargs(KwargsHandler): + """ + Use this object in your [`Accelerator`] to customize how `torch.autocast` behaves. Please refer to the + documentation of this [context manager](https://pytorch.org/docs/stable/amp.html#torch.autocast) for more + information on each argument. + + Example: + + ```python + from accelerate import Accelerator + from accelerate.utils import AutocastKwargs + + kwargs = AutocastKwargs(cache_enabled=True) + accelerator = Accelerator(kwargs_handlers=[kwargs]) + ``` + """ + + enabled: bool = True + cache_enabled: Optional[bool] = None + + +class DDPCommunicationHookType(BaseEnum): + """ + Represents a type of communication hook used in DDP. + + Values: + + - **NO** -- no communication hook + - **FP16** -- DDP communication hook to compress the gradients in FP16 + - **BF16** -- DDP communication hook to compress the gradients in BF16 + - **POWER_SGD** -- DDP communication hook to use PowerSGD + - **BATCHED_POWER_SGD** -- DDP communication hook to use batched PowerSGD + """ + + NO = "no" + FP16 = "fp16" + BF16 = "bf16" + POWER_SGD = "power_sgd" + BATCHED_POWER_SGD = "batched_power_sgd" + + +@dataclass +class DistributedDataParallelKwargs(KwargsHandler): + """ + Use this object in your [`Accelerator`] to customize how your model is wrapped in a + `torch.nn.parallel.DistributedDataParallel`. Please refer to the documentation of this + [wrapper](https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html) for more + information on each argument. + + + + `gradient_as_bucket_view` is only available in PyTorch 1.7.0 and later versions. + + `static_graph` is only available in PyTorch 1.11.0 and later versions. + + + + Example: + + ```python + from accelerate import Accelerator + from accelerate.utils import DistributedDataParallelKwargs + + kwargs = DistributedDataParallelKwargs(find_unused_parameters=True) + accelerator = Accelerator(kwargs_handlers=[kwargs]) + ``` + """ + + dim: int = 0 + broadcast_buffers: bool = True + bucket_cap_mb: int = 25 + find_unused_parameters: bool = False + check_reduction: bool = False + gradient_as_bucket_view: bool = False + static_graph: bool = False + + comm_hook: DDPCommunicationHookType = DDPCommunicationHookType.NO + comm_wrapper: Literal[ + DDPCommunicationHookType.NO, + DDPCommunicationHookType.FP16, + DDPCommunicationHookType.BF16, + ] = DDPCommunicationHookType.NO + comm_state_option: dict = field(default_factory=dict) + + def to_dict(self, ignore_keys=("comm_hook", "comm_wrapper", "comm_state_option")): + return {k: v for k, v in super().to_dict().items() if k not in ignore_keys} + + def register_comm_hook(self, model): + from torch.distributed.algorithms.ddp_comm_hooks import ( + default_hooks, + powerSGD_hook, + ) + + hook_map: dict[DDPCommunicationHookType, Callable] = { + DDPCommunicationHookType.FP16: default_hooks.fp16_compress_hook, + DDPCommunicationHookType.BF16: default_hooks.bf16_compress_hook, + DDPCommunicationHookType.POWER_SGD: powerSGD_hook.powerSGD_hook, + DDPCommunicationHookType.BATCHED_POWER_SGD: powerSGD_hook.batched_powerSGD_hook, + } + + wrapper_map: dict[DDPCommunicationHookType, Callable] = { + DDPCommunicationHookType.FP16: default_hooks.fp16_compress_wrapper, + DDPCommunicationHookType.BF16: default_hooks.bf16_compress_wrapper, + } + + hook: Optional[Callable] = hook_map.get(self.comm_hook) + wrapper: Optional[Callable] = wrapper_map.get(self.comm_wrapper) + + if hook and wrapper: + hook = wrapper(hook) + + if hook: + state = ( + powerSGD_hook.PowerSGDState(None, **self.comm_state_option) + if self.comm_hook + in ( + DDPCommunicationHookType.POWER_SGD, + DDPCommunicationHookType.BATCHED_POWER_SGD, + ) + else None + ) + model.register_comm_hook( + state=state, + hook=hook, + ) + + +@dataclass +class GradScalerKwargs(KwargsHandler): + """ + Use this object in your [`Accelerator`] to customize the behavior of mixed precision, specifically how the + `torch.amp.GradScaler` or `torch.cuda.amp.GradScaler` used is created. Please refer to the documentation of this + [scaler](https://pytorch.org/docs/stable/amp.html?highlight=gradscaler) for more information on each argument. + + + + `torch.cuda.amp.GradScaler` is only available in PyTorch 1.5.0 and later versions, and `torch.amp.GradScaler` is + only available in PyTorch 2.4.0 and later versions. + + + + Example: + + ```python + from accelerate import Accelerator + from accelerate.utils import GradScalerKwargs + + kwargs = GradScalerKwargs(backoff_factor=0.25) + accelerator = Accelerator(kwargs_handlers=[kwargs]) + ``` + """ + + init_scale: float = 65536.0 + growth_factor: float = 2.0 + backoff_factor: float = 0.5 + growth_interval: int = 2000 + enabled: bool = True + + +@dataclass +class InitProcessGroupKwargs(KwargsHandler): + """ + Use this object in your [`Accelerator`] to customize the initialization of the distributed processes. Please refer + to the documentation of this + [method](https://pytorch.org/docs/stable/distributed.html#torch.distributed.init_process_group) for more + information on each argument. + + Note: If `timeout` is set to `None`, the default will be based upon how `backend` is set. + + ```python + from datetime import timedelta + from accelerate import Accelerator + from accelerate.utils import InitProcessGroupKwargs + + kwargs = InitProcessGroupKwargs(timeout=timedelta(seconds=800)) + accelerator = Accelerator(kwargs_handlers=[kwargs]) + ``` + """ + + backend: Optional[str] = "nccl" + init_method: Optional[str] = None + timeout: Optional[timedelta] = None + + def __post_init__(self): + if self.timeout is None: + seconds = 1800 if self.backend != "nccl" else 600 + self.timeout = timedelta(seconds=seconds) + + +# Literals +Backend = Literal["MSAMP", "TE"] +OptLevel = Literal["O1", "O2"] +FP8Format = Literal["HYBRID", "E4M3", "E5M2"] +AmaxComputeAlgorithm = Literal["max", "most_recent"] + + +# FP8 training recipe kwargs +@dataclass +class AORecipeKwargs(KwargsHandler): + """ + Use this object in your [`Accelerator`] to customize the initialization of the recipe for FP8 mixed precision + training with `torchao` FP8. + + Args: + config (`torchao.float8.Float8LinearConfig`, *optional*, default to `None`): + The configuration for the FP8 training. In general, the default config should be sufficient. + module_filter_func (`Callable`, *optional*, default to `None`): + Optional function that must take in a module and layer name, and returns a boolean indicating whether the + module should be converted to FP8. Defaults to `accelerate.utils.ao.filter_linear_layers`. See it for an + example. + """ + + config: Optional["Float8LinearConfig"] = None + module_filter_func: Optional[Callable] = None + + +@dataclass +class TERecipeKwargs(KwargsHandler): + """ + Use this object in your [`Accelerator`] to customize the initialization of the recipe for FP8 mixed precision + training with `transformer-engine`. + + + + For more information on the args, please refer to the API + [documentation](https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/api/common.html). + + + + ```python + from accelerate import Accelerator + from accelerate.utils import TERecipeKwargs + + kwargs = TERecipeKwargs(fp8_format="HYBRID") + accelerator = Accelerator(mixed_precision="fp8", kwargs_handlers=[kwargs]) + ``` + + Args: + use_autocast_during_eval (`bool`, *optional*, default to `False`): + Whether to use FP8 autocast during eval mode. Generally better metrics are found when this is `False`. + margin (`int`, *optional*, default to 0): + The margin to use for the gradient scaling. + interval (`int`, *optional*, default to 1): + The interval to use for how often the scaling factor is recomputed. + fp8_format (`str`, *optional*, default to "HYBRID"): + The format to use for the FP8 recipe. Must be one of `HYBRID`, `E4M3` or `E5M2`. (Generally `HYBRID` for + training, `E4M3` or `E5M2` for evaluation) + amax_history_len (`int`, *optional*, default to 1024): + The length of the history to use for the scaling factor computation + amax_compute_algo (`str`, *optional*, default to "most_recent"): + The algorithm to use for the scaling factor computation. Must be one of `max` or `most_recent`. + override_linear_precision (`tuple` of three `bool`, *optional*, default to `(False, False, False)`): + Whether or not to execute `fprop`, `dgrad`, and `wgrad` GEMMS in higher precision. + """ + + use_autocast_during_eval: Optional[bool] = None + margin: Optional[int] = None + interval: Optional[int] = None + fp8_format: FP8Format = None + amax_history_len: Optional[int] = None + amax_compute_algo: AmaxComputeAlgorithm = None + override_linear_precision: tuple[bool, bool, bool] = None + use_mxfp8_block_scaling: Optional[bool] = None + + def __post_init__(self): + env_prefix = "ACCELERATE_FP8_" + if not is_transformer_engine_available(): + raise ImportError("TransformerEngine is not available. Please install it or use a different backend.") + if self.use_autocast_during_eval is None: + self.use_autocast_during_eval = parse_flag_from_env(env_prefix + "USE_AUTOCAST_DURING_EVAL") + if self.margin is None: + self.margin = int(os.environ.get(env_prefix + "MARGIN", 0)) + if self.interval is None: + self.interval = int(os.environ.get(env_prefix + "INTERVAL", 1)) + if self.fp8_format is None: + self.fp8_format = os.environ.get(env_prefix + "FORMAT", "HYBRID") + self.fp8_format = self.fp8_format.upper() + if self.fp8_format not in get_args(FP8Format): + raise ValueError(f"`fp8_format` must be one of {' or '.join(get_args(FP8Format))}.") + if self.amax_compute_algo is None: + self.amax_compute_algo = os.environ.get(env_prefix + "AMAX_COMPUTE_ALGO", "most_recent") + self.amax_compute_algo = self.amax_compute_algo.lower() + if self.amax_compute_algo not in get_args(AmaxComputeAlgorithm): + raise ValueError(f"`amax_compute_algo` must be one of {' or '.join(get_args(AmaxComputeAlgorithm))}") + if self.amax_history_len is None: + self.amax_history_len = int(os.environ.get(env_prefix + "AMAX_HISTORY_LEN", 1024)) + if self.override_linear_precision is None: + fprop = parse_flag_from_env(env_prefix + "OVERRIDE_FPROP") + dgrad = parse_flag_from_env(env_prefix + "OVERRIDE_DGRAD") + wgrad = parse_flag_from_env(env_prefix + "OVERRIDE_WGRAD") + self.override_linear_precision = (fprop, dgrad, wgrad) + if self.use_mxfp8_block_scaling is None: + self.use_mxfp8_block_scaling = parse_flag_from_env(env_prefix + "USE_MXFP8_BLOCK_SCALING") + + +@dataclass +class MSAMPRecipeKwargs(KwargsHandler): + """ + Use this object in your [`Accelerator`] to customize the initialization of the recipe for FP8 mixed precision + training with `ms-amp`. + """ + + opt_level: OptLevel = None + + def __post_init__(self): + env_prefix = "ACCELERATE_FP8_" + if self.opt_level is None: + self.opt_level = os.environ.get(env_prefix + "OPT_LEVEL", "O2") + if self.opt_level not in get_args(OptLevel): + raise ValueError(f"`opt_level` must be one of {' or '.join(get_args(OptLevel))}") + + +@dataclass +class FP8RecipeKwargs(TERecipeKwargs, MSAMPRecipeKwargs): + """ + Deprecated. Please use one of the proper FP8 recipe kwargs classes such as `TERecipeKwargs` or `MSAMPRecipeKwargs` + instead. + """ + + backend: Backend = None + + def __post_init__(self): + env_prefix = "ACCELERATE_FP8_" + warnings.warn( + "FP8RecipeKwargs is deprecated and will be removed in Accelerate v2.0.0. " + "Please use one of the proper FP8 recipe kwargs classes such as TERecipeKwargs or MSAMPRecipeKwargs instead.", + FutureWarning, + ) + default_backend = "msamp" if is_msamp_available() else "te" + if self.backend is None: + self.backend = os.environ.get(env_prefix + "BACKEND", default_backend) + self.backend = self.backend.upper() + if self.backend not in get_args(Backend): + raise ValueError("`backend` must be 'MSAMP' or 'TE' (TransformerEngine) to use `FP8RecipeKwargs`.") + super().__post_init__() + + +# Literal +ProfilerActivity = Literal["cpu", "xpu", "mtia", "cuda", "hpu"] + + +@dataclass +class ProfileKwargs(KwargsHandler): + """ + Use this object in your [`Accelerator`] to customize the initialization of the profiler. Please refer to the + documentation of this [context manager](https://pytorch.org/docs/stable/profiler.html#torch.profiler.profile) for + more information on each argument. + + + + `torch.profiler` is only available in PyTorch 1.8.1 and later versions. + + + + Example: + + ```python + from accelerate import Accelerator + from accelerate.utils import ProfileKwargs + + kwargs = ProfileKwargs(activities=["cpu", "cuda"]) + accelerator = Accelerator(kwargs_handlers=[kwargs]) + ``` + + Args: + activities (`List[str]`, *optional*, default to `None`): + The list of activity groups to use in profiling. Must be one of `"cpu"`, `"xpu"`, `"mtia"`, "hpu" or + `"cuda"`. + schedule_option (`Dict[str, int]`, *optional*, default to `None`): + The schedule option to use for the profiler. Available keys are `wait`, `warmup`, `active`, `repeat` and + `skip_first`. The profiler will skip the first `skip_first` steps, then wait for `wait` steps, then do the + warmup for the next `warmup` steps, then do the active recording for the next `active` steps and then + repeat the cycle starting with `wait` steps. The optional number of cycles is specified with the `repeat` + parameter, the zero value means that the cycles will continue until the profiling is finished. + on_trace_ready (`Callable`, *optional*, default to `None`): + Callable that is called at each step when schedule returns `ProfilerAction.RECORD_AND_SAVE` during the + profiling. + record_shapes (`bool`, *optional*, default to `False`): + Save information about operator’s input shapes. + profile_memory (`bool`, *optional*, default to `False`): + Track tensor memory allocation/deallocation + with_stack (`bool`, *optional*, default to `False`): + Record source information (file and line number) for the ops. + with_flops (`bool`, *optional*, default to `False`): + Use formula to estimate the FLOPS of specific operators + with_modules (`bool`, *optional*, default to `False`): + Record module hierarchy (including function names) corresponding to the callstack of the op. + output_trace_dir (`str`, *optional*, default to `None`): + Exports the collected trace in Chrome JSON format. Chrome use 'chrome://tracing' view json file. Defaults + to None, which means profiling does not store json files. + """ + + activities: Optional[list[ProfilerActivity]] = None + schedule_option: Optional[dict[str, int]] = None + on_trace_ready: Optional[Callable] = None + record_shapes: bool = False + profile_memory: bool = False + with_stack: bool = False + with_flops: bool = False + with_modules: bool = False + output_trace_dir: Optional[str] = None + + def _get_profiler_activity(self, activity: ProfilerActivity) -> torch.profiler.ProfilerActivity: + """Get the profiler activity from the string. + + Args: + activity (str): The profiler activity name. + + Returns: + torch.profiler.ProfilerActivity: The profiler activity. + """ + + profiler_activity_map: dict[str, torch.profiler.ProfilerActivity] = { + "cpu": torch.profiler.ProfilerActivity.CPU, + "cuda": torch.profiler.ProfilerActivity.CUDA, + } + + if is_hpu_available(): + profiler_activity_map["hpu"] = torch.profiler.ProfilerActivity.HPU + + if is_torch_version(">=", XPU_PROFILING_AVAILABLE_PYTORCH_VERSION): + if torch.xpu.is_available(): + profiler_activity_map["xpu"] = torch.profiler.ProfilerActivity.XPU + + if is_torch_version(">=", MITA_PROFILING_AVAILABLE_PYTORCH_VERSION): + if torch.mtia.is_available(): + profiler_activity_map["mtia"] = torch.profiler.ProfilerActivity.MTIA + + if activity not in profiler_activity_map: + raise ValueError(f"Invalid profiler activity: {activity}. Must be one of {list(profiler_activity_map)}.") + return profiler_activity_map[activity] + + def build(self) -> torch.profiler.profile: + """ + Build a profiler object with the current configuration. + + Returns: + torch.profiler.profile: The profiler object. + """ + activities: Optional[list[ProfilerActivity]] = None + if self.activities is not None: + activities = [self._get_profiler_activity(activity) for activity in self.activities] + schedule: Optional[torch.profiler.schedule] = None + if self.schedule_option is not None: + schedule = torch.profiler.schedule(**self.schedule_option) + + return torch.profiler.profile( + activities=activities, + schedule=schedule, + on_trace_ready=self.on_trace_ready, + record_shapes=self.record_shapes, + profile_memory=self.profile_memory, + with_stack=self.with_stack, + with_flops=self.with_flops, + with_modules=self.with_modules, + ) + + +class DistributedType(str, enum.Enum): + """ + Represents a type of distributed environment. + + Values: + + - **NO** -- Not a distributed environment, just a single process. + - **MULTI_CPU** -- Distributed on multiple CPU nodes. + - **MULTI_GPU** -- Distributed on multiple GPUs. + - **MULTI_MLU** -- Distributed on multiple MLUs. + - **MULTI_SDAA** -- Distributed on multiple SDAAs. + - **MULTI_MUSA** -- Distributed on multiple MUSAs. + - **MULTI_NPU** -- Distributed on multiple NPUs. + - **MULTI_XPU** -- Distributed on multiple XPUs. + - **MULTI_HPU** -- Distributed on multiple HPUs. + - **DEEPSPEED** -- Using DeepSpeed. + - **XLA** -- Using TorchXLA. + """ + + # Subclassing str as well as Enum allows the `DistributedType` to be JSON-serializable out of the box. + NO = "NO" + MULTI_CPU = "MULTI_CPU" + MULTI_GPU = "MULTI_GPU" + MULTI_NPU = "MULTI_NPU" + MULTI_MLU = "MULTI_MLU" + MULTI_SDAA = "MULTI_SDAA" + MULTI_MUSA = "MULTI_MUSA" + MULTI_XPU = "MULTI_XPU" + DEEPSPEED = "DEEPSPEED" + FSDP = "FSDP" + XLA = "XLA" + MEGATRON_LM = "MEGATRON_LM" + MULTI_HPU = "MULTI_HPU" + + +class SageMakerDistributedType(str, enum.Enum): + """ + Represents a type of distributed environment. + + Values: + + - **NO** -- Not a distributed environment, just a single process. + - **DATA_PARALLEL** -- using sagemaker distributed data parallelism. + - **MODEL_PARALLEL** -- using sagemaker distributed model parallelism. + """ + + # Subclassing str as well as Enum allows the `SageMakerDistributedType` to be JSON-serializable out of the box. + NO = "NO" + DATA_PARALLEL = "DATA_PARALLEL" + MODEL_PARALLEL = "MODEL_PARALLEL" + + +class FP8BackendType(str, enum.Enum): + """ + Represents the backend used for FP8. + + Values: + + - **TE** -- using TransformerEngine. + - **MSAMP** -- using msamp. + """ + + # Subclassing str as well as Enum allows the `FP8BackendType` to be JSON-serializable out of the box. + NO = "NO" + TE = "TE" + MSAMP = "MSAMP" + AO = "AO" + + +class ComputeEnvironment(str, enum.Enum): + """ + Represents a type of the compute environment. + + Values: + + - **LOCAL_MACHINE** -- private/custom cluster hardware. + - **AMAZON_SAGEMAKER** -- Amazon SageMaker as compute environment. + """ + + # Subclassing str as well as Enum allows the `ComputeEnvironment` to be JSON-serializable out of the box. + LOCAL_MACHINE = "LOCAL_MACHINE" + AMAZON_SAGEMAKER = "AMAZON_SAGEMAKER" + + +class DynamoBackend(str, BaseEnum): + """ + Represents a dynamo backend (see https://pytorch.org/docs/stable/torch.compiler.html). + + Values: + + - **NO** -- Do not use torch dynamo. + - **EAGER** -- Uses PyTorch to run the extracted GraphModule. This is quite useful in debugging TorchDynamo + issues. + - **AOT_EAGER** -- Uses AotAutograd with no compiler, i.e, just using PyTorch eager for the AotAutograd's + extracted forward and backward graphs. This is useful for debugging, and unlikely to give speedups. + - **INDUCTOR** -- Uses TorchInductor backend with AotAutograd and cudagraphs by leveraging codegened Triton + kernels. [Read + more](https://dev-discuss.pytorch.org/t/torchinductor-a-pytorch-native-compiler-with-define-by-run-ir-and-symbolic-shapes/747) + - **AOT_TS_NVFUSER** -- nvFuser with AotAutograd/TorchScript. [Read + more](https://dev-discuss.pytorch.org/t/tracing-with-primitives-update-1-nvfuser-and-its-primitives/593) + - **NVPRIMS_NVFUSER** -- nvFuser with PrimTorch. [Read + more](https://dev-discuss.pytorch.org/t/tracing-with-primitives-update-1-nvfuser-and-its-primitives/593) + - **CUDAGRAPHS** -- cudagraphs with AotAutograd. [Read more](https://github.com/pytorch/torchdynamo/pull/757) + - **OFI** -- Uses Torchscript optimize_for_inference. Inference only. [Read + more](https://pytorch.org/docs/stable/generated/torch.jit.optimize_for_inference.html) + - **FX2TRT** -- Uses Nvidia TensorRT for inference optimizations. Inference only. [Read + more](https://github.com/pytorch/TensorRT/blob/master/docsrc/tutorials/getting_started_with_fx_path.rst) + - **ONNXRT** -- Uses ONNXRT for inference on CPU/GPU. Inference only. [Read more](https://onnxruntime.ai/) + - **TENSORRT** -- Uses ONNXRT to run TensorRT for inference optimizations. [Read + more](https://github.com/onnx/onnx-tensorrt) + - **AOT_TORCHXLA_TRACE_ONCE** -- Uses Pytorch/XLA with TorchDynamo optimization, for training. [Read + more](https://github.com/pytorch/xla/blob/r2.0/docs/dynamo.md) + - **TORCHXLA_TRACE_ONCE** -- Uses Pytorch/XLA with TorchDynamo optimization, for inference. [Read + more](https://github.com/pytorch/xla/blob/r2.0/docs/dynamo.md) + - **IPEX** -- Uses IPEX for inference on CPU. Inference only. [Read + more](https://github.com/intel/intel-extension-for-pytorch). + - **TVM** -- Uses Apache TVM for inference optimizations. [Read more](https://tvm.apache.org/) + - **HPU_BACKEND** -- Uses HPU backend for inference optimizations. + + """ + + # Subclassing str as well as Enum allows the `SageMakerDistributedType` to be JSON-serializable out of the box. + NO = "NO" + EAGER = "EAGER" + AOT_EAGER = "AOT_EAGER" + INDUCTOR = "INDUCTOR" + AOT_TS_NVFUSER = "AOT_TS_NVFUSER" + NVPRIMS_NVFUSER = "NVPRIMS_NVFUSER" + CUDAGRAPHS = "CUDAGRAPHS" + OFI = "OFI" + FX2TRT = "FX2TRT" + ONNXRT = "ONNXRT" + TENSORRT = "TENSORRT" + AOT_TORCHXLA_TRACE_ONCE = "AOT_TORCHXLA_TRACE_ONCE" + TORCHXLA_TRACE_ONCE = "TORCHXLA_TRACE_ONCE" + IPEX = "IPEX" + TVM = "TVM" + HPU_BACKEND = "HPU_BACKEND" + + +class LoggerType(BaseEnum): + """Represents a type of supported experiment tracker + + Values: + + - **ALL** -- all available trackers in the environment that are supported + - **TENSORBOARD** -- TensorBoard as an experiment tracker + - **WANDB** -- wandb as an experiment tracker + - **TRACKIO** -- trackio as an experiment tracker + - **COMETML** -- comet_ml as an experiment tracker + - **MLFLOW** -- mlflow as an experiment tracker + - **CLEARML** -- clearml as an experiment tracker + - **DVCLIVE** -- dvclive as an experiment tracker + - **SWANLAB** -- swanlab as an experiment tracker + """ + + ALL = "all" + AIM = "aim" + TENSORBOARD = "tensorboard" + WANDB = "wandb" + TRACKIO = "trackio" + COMETML = "comet_ml" + MLFLOW = "mlflow" + CLEARML = "clearml" + DVCLIVE = "dvclive" + SWANLAB = "swanlab" + + +class PrecisionType(str, BaseEnum): + """Represents a type of precision used on floating point values + + Values: + + - **NO** -- using full precision (FP32) + - **FP16** -- using half precision + - **BF16** -- using brain floating point precision + """ + + NO = "no" + FP8 = "fp8" + FP16 = "fp16" + BF16 = "bf16" + + +class RNGType(BaseEnum): + TORCH = "torch" + CUDA = "cuda" + MLU = "mlu" + SDAA = "sdaa" + MUSA = "musa" + NPU = "npu" + XLA = "xla" + XPU = "xpu" + HPU = "hpu" + GENERATOR = "generator" + + +class CustomDtype(enum.Enum): + r""" + An enum that contains multiple custom dtypes that can be used for `infer_auto_device_map`. + """ + + FP8 = "fp8" + INT4 = "int4" + INT2 = "int2" + + +# data classes + + +@dataclass +class TensorInformation: + shape: torch.Size + dtype: torch.dtype + + +@dataclass +class DataLoaderConfiguration: + """ + Configuration for dataloader-related items when calling `accelerator.prepare`. + + Args: + split_batches (`bool`, defaults to `False`): + Whether or not the accelerator should split the batches yielded by the dataloaders across the devices. If + `True`, the actual batch size used will be the same on any kind of distributed processes, but it must be a + round multiple of `num_processes` you are using. If `False`, actual batch size used will be the one set in + your script multiplied by the number of processes. + dispatch_batches (`bool`, defaults to `None`): + If set to `True`, the dataloader prepared by the Accelerator is only iterated through on the main process + and then the batches are split and broadcast to each process. Will default to `True` for `DataLoader` whose + underlying dataset is an `IterableDataset`, `False` otherwise. + even_batches (`bool`, defaults to `True`): + If set to `True`, in cases where the total batch size across all processes does not exactly divide the + dataset, samples at the start of the dataset will be duplicated so the batch can be divided equally among + all workers. + use_seedable_sampler (`bool`, defaults to `False`): + Whether or not use a fully seedable random sampler ([`data_loader.SeedableRandomSampler`]). Ensures + training results are fully reproducible using a different sampling technique. While seed-to-seed results + may differ, on average the differences are negligible when using multiple different seeds to compare. + Should also be ran with [`~utils.set_seed`] for the best results. + data_seed (`int`, defaults to `None`): + The seed to use for the underlying generator when using `use_seedable_sampler`. If `None`, the generator + will use the current default seed from torch. + non_blocking (`bool`, defaults to `False`): + If set to `True`, the dataloader prepared by the Accelerator will utilize non-blocking host-to-device + transfers, allowing for better overlap between dataloader communication and computation. Recommended that + the prepared dataloader has `pin_memory` set to `True` to work properly. + use_stateful_dataloader (`bool`, defaults to `False`): + If set to `True`, the dataloader prepared by the Accelerator will be backed by + [torchdata.StatefulDataLoader](https://github.com/pytorch/data/tree/main/torchdata/stateful_dataloader). + This requires `torchdata` version 0.8.0 or higher that supports StatefulDataLoader to be installed. + """ + + split_batches: bool = field( + default=False, + metadata={ + "help": "Whether or not the accelerator should split the batches yielded by the dataloaders across the devices. If" + " `True` the actual batch size used will be the same on any kind of distributed processes, but it must be a" + " round multiple of the `num_processes` you are using. If `False`, actual batch size used will be the one set" + " in your script multiplied by the number of processes." + }, + ) + dispatch_batches: bool = field( + default=None, + metadata={ + "help": "If set to `True`, the dataloader prepared by the Accelerator is only iterated through on the main process" + " and then the batches are split and broadcast to each process. Will default to `True` for `DataLoader` whose" + " underlying dataset is an `IterableDataset`, `False` otherwise." + }, + ) + even_batches: bool = field( + default=True, + metadata={ + "help": "If set to `True`, in cases where the total batch size across all processes does not exactly divide the" + " dataset, samples at the start of the dataset will be duplicated so the batch can be divided equally among" + " all workers." + }, + ) + use_seedable_sampler: bool = field( + default=False, + metadata={ + "help": "Whether or not use a fully seedable random sampler ([`data_loader.SeedableRandomSampler`])." + "Ensures training results are fully reproducible using a different sampling technique. " + "While seed-to-seed results may differ, on average the differences are negligible when using" + "multiple different seeds to compare. Should also be ran with [`~utils.set_seed`] for the best results." + }, + ) + data_seed: int = field( + default=None, + metadata={ + "help": "The seed to use for the underlying generator when using `use_seedable_sampler`. If `None`, the generator" + " will use the current default seed from torch." + }, + ) + non_blocking: bool = field( + default=False, + metadata={ + "help": "If set to `True`, the dataloader prepared by the Accelerator will utilize non-blocking host-to-device" + " transfers, allowing for better overlap between dataloader communication and computation. Recommended that the" + " prepared dataloader has `pin_memory` set to `True` to work properly." + }, + ) + use_stateful_dataloader: bool = field( + default=False, + metadata={ + "help": "If set to `True`, the dataloader prepared by the Accelerator will be backed by " + "[torchdata.StatefulDataLoader](https://github.com/pytorch/data/tree/main/torchdata/stateful_dataloader). This requires `torchdata` version 0.8.0 or higher that supports StatefulDataLoader to be installed." + }, + ) + + +@dataclass +class ProjectConfiguration: + """ + Configuration for the Accelerator object based on inner-project needs. + + Args: + project_dir (`str`, defaults to `None`): + A path to a directory for storing data. + logging_dir (`str`, defaults to `None`): + A path to a directory for storing logs of locally-compatible loggers. If None, defaults to `project_dir`. + automatic_checkpoint_naming (`bool`, defaults to `False`): + Whether saved states should be automatically iteratively named. + total_limit (`int`, defaults to `None`): + The maximum number of total saved states to keep. + iteration (`int`, defaults to `0`): + The current save iteration. + save_on_each_node (`bool`, defaults to `False`): + When doing multi-node distributed training, whether to save models and checkpoints on each node, or only on + the main one. + """ + + project_dir: str = field(default=None, metadata={"help": "A path to a directory for storing data."}) + logging_dir: str = field( + default=None, + metadata={ + "help": "A path to a directory for storing logs of locally-compatible loggers. If None, defaults to `project_dir`." + }, + ) + automatic_checkpoint_naming: bool = field( + default=False, + metadata={"help": "Whether saved states should be automatically iteratively named."}, + ) + + total_limit: int = field( + default=None, + metadata={"help": "The maximum number of total saved states to keep."}, + ) + + iteration: int = field( + default=0, + metadata={"help": "The current save iteration."}, + ) + + save_on_each_node: bool = field( + default=False, + metadata={ + "help": ( + "When doing multi-node distributed training, whether to save models and checkpoints on each node, or" + " only on the main one" + ) + }, + ) + + def set_directories(self, project_dir: Optional[str] = None): + "Sets `self.project_dir` and `self.logging_dir` to the appropriate values." + self.project_dir = project_dir + if self.logging_dir is None: + self.logging_dir = project_dir + + def __post_init__(self): + self.set_directories(self.project_dir) + + +@dataclass +class GradientAccumulationPlugin(KwargsHandler): + """ + A plugin to configure gradient accumulation behavior. You can only pass one of `gradient_accumulation_plugin` or + `gradient_accumulation_steps` to [`Accelerator`]. Passing both raises an error. + + Parameters: + num_steps (`int`): + The number of steps to accumulate gradients for. + adjust_scheduler (`bool`, *optional*, defaults to `True`): + Whether to adjust the scheduler steps to account for the number of steps being accumulated. Should be + `True` if the used scheduler was not adjusted for gradient accumulation. + sync_with_dataloader (`bool`, *optional*, defaults to `True`): + Whether to synchronize setting the gradients when at the end of the dataloader. + sync_each_batch (`bool`, *optional*): + Whether to synchronize setting the gradients at each data batch. Setting to `True` may reduce memory + requirements when using gradient accumulation with distributed training, at expense of speed. + + Example: + + ```python + from accelerate.utils import GradientAccumulationPlugin + + gradient_accumulation_plugin = GradientAccumulationPlugin(num_steps=2) + accelerator = Accelerator(gradient_accumulation_plugin=gradient_accumulation_plugin) + ``` + """ + + num_steps: int = field( + default=None, + metadata={"help": "The number of steps to accumulate gradients for."}, + ) + adjust_scheduler: bool = field( + default=True, + metadata={ + "help": "Whether to adjust the scheduler steps to account for the number of steps being accumulated. Should be `True` if the used scheduler was not adjusted for gradient accumulation." + }, + ) + sync_with_dataloader: bool = field( + default=True, + metadata={ + "help": "Whether to synchronize setting the gradients when at the end of the dataloader. Should only be set to `False` if you know what you're doing." + }, + ) + sync_each_batch: bool = field( + default=False, + metadata={ + "help": "Whether to synchronize setting the gradients at each data batch. Setting to `True` may reduce memory requirements when using gradient accumulation with distributed training, at expense of speed." + }, + ) + + +@dataclass +class TorchDynamoPlugin(KwargsHandler): + """ + This plugin is used to compile a model with PyTorch 2.0 + + Args: + backend (`DynamoBackend`, defaults to `None`): + A valid Dynamo backend. See https://pytorch.org/docs/stable/torch.compiler.html for more details. + mode (`str`, defaults to `None`): + Possible options are 'default', 'reduce-overhead' or 'max-autotune'. + fullgraph (`bool`, defaults to `None`): + Whether it is ok to break model into several subgraphs. + dynamic (`bool`, defaults to `None`): + Whether to use dynamic shape for tracing. + options (`Any`, defaults to `None`): + A dictionary of options to pass to the backend. + disable (`bool`, defaults to `False`): + Turn torch.compile() into a no-op for testing + use_regional_compilation (`bool`, defaults to `None`): + Use it to reduce the cold start compilation time of torch.compile() by targeting repeated blocks of the + same class and compiling them sequentially to hit the compiler's cache. For example, in `GPT2LMHeadModel`, + the repeated block/class is `GPT2Block`, and can be accessed as `model.transformer.h[0]`. The rest of the + model (e.g model.lm_head) is compiled separately. + """ + + backend: DynamoBackend = field( + default=None, + metadata={"help": f"Possible options are {[b.value.lower() for b in DynamoBackend]}"}, + ) + mode: str = field( + default=None, + metadata={"help": "Possible options are 'default', 'reduce-overhead' or 'max-autotune'"}, + ) + fullgraph: bool = field( + default=None, + metadata={"help": "Whether it is ok to break model into several subgraphs"}, + ) + dynamic: bool = field(default=None, metadata={"help": "Whether to use dynamic shape for tracing"}) + options: Any = field( + default=None, + metadata={"help": "A dictionary of options to pass to the backend."}, + ) + disable: bool = field( + default=False, + metadata={"help": "Turn torch.compile() into a no-op for testing"}, + ) + + use_regional_compilation: bool = field( + default=None, + metadata={ + "help": ( + # https://pytorch.org/tutorials/recipes/regional_compilation.html + "Use it to reduce the cold start compilation time of torch.compile() by targeting repeated " + "blocks of the same class and compiling them sequentially to hit the compiler's cache. For " + "example, in `GPT2LMHeadModel`, the repeated block/class is `GPT2Block`, and can be accessed " + "as `model.transformer.h[0]`. The rest of the model (e.g model.lm_head) is compiled separately." + ) + }, + ) + + def __post_init__(self): + prefix = "ACCELERATE_DYNAMO_" + if self.backend is None: + self.backend = os.environ.get(prefix + "BACKEND", "no") + self.backend = DynamoBackend(self.backend.upper()) + + if self.mode is None: + self.mode = os.environ.get(prefix + "MODE", "default") + if self.fullgraph is None: + self.fullgraph = str_to_bool(os.environ.get(prefix + "USE_FULLGRAPH", "False")) == 1 + if self.use_regional_compilation is None: + self.use_regional_compilation = ( + str_to_bool(os.environ.get(prefix + "USE_REGIONAL_COMPILATION", "False")) == 1 + ) + + if self.dynamic is None and os.environ.get(prefix + "USE_DYNAMIC", None) is not None: + self.dynamic = str_to_bool(os.environ.get(prefix + "USE_DYNAMIC", "False")) == 1 + + def to_dict(self): + dynamo_config = copy.deepcopy(self.__dict__) + dynamo_config["backend"] = dynamo_config["backend"].value.lower() + return dynamo_config + + def to_kwargs(self): + kwargs = super().to_kwargs() + kwargs.pop("use_regional_compilation", None) + return kwargs + + +@dataclass +class DeepSpeedPlugin: + """ + This plugin is used to integrate DeepSpeed. + + Args: + hf_ds_config (`Any`, defaults to `None`): + Path to DeepSpeed config file or dict or an object of class `accelerate.utils.deepspeed.HfDeepSpeedConfig`. + gradient_accumulation_steps (`int`, defaults to `None`): + Number of steps to accumulate gradients before updating optimizer states. If not set, will use the value + from the `Accelerator` directly. + gradient_clipping (`float`, defaults to `None`): + Enable gradient clipping with value. + zero_stage (`int`, defaults to `None`): + Possible options are 0, 1, 2, 3. Default will be taken from environment variable. + is_train_batch_min (`bool`, defaults to `True`): + If both train & eval dataloaders are specified, this will decide the `train_batch_size`. + offload_optimizer_device (`str`, defaults to `None`): + Possible options are none|cpu|nvme. Only applicable with ZeRO Stages 2 and 3. + offload_param_device (`str`, defaults to `None`): + Possible options are none|cpu|nvme. Only applicable with ZeRO Stage 3. + offload_optimizer_nvme_path (`str`, defaults to `None`): + Possible options are /nvme|/local_nvme. Only applicable with ZeRO Stage 3. + offload_param_nvme_path (`str`, defaults to `None`): + Possible options are /nvme|/local_nvme. Only applicable with ZeRO Stage 3. + zero3_init_flag (`bool`, defaults to `None`): + Flag to indicate whether to save 16-bit model. Only applicable with ZeRO Stage-3. + zero3_save_16bit_model (`bool`, defaults to `None`): + Flag to indicate whether to save 16-bit model. Only applicable with ZeRO Stage-3. + transformer_moe_cls_names (`str`, defaults to `None`): + Comma-separated list of Transformers MoE layer class names (case-sensitive). For example, + `MixtralSparseMoeBlock`, `Qwen2MoeSparseMoeBlock`, `JetMoEAttention`, `JetMoEBlock`, etc. + enable_msamp (`bool`, defaults to `None`): + Flag to indicate whether to enable MS-AMP backend for FP8 training. + msasmp_opt_level (`Optional[Literal["O1", "O2"]]`, defaults to `None`): + Optimization level for MS-AMP (defaults to 'O1'). Only applicable if `enable_msamp` is True. Should be one + of ['O1' or 'O2']. + """ + + hf_ds_config: Any = field( + default=None, + metadata={ + "help": "path to DeepSpeed config file or dict or an object of class `accelerate.utils.deepspeed.HfDeepSpeedConfig`." + }, + ) + gradient_accumulation_steps: int = field( + default=None, + metadata={ + "help": "Number of steps to accumulate gradients before updating optimizer states. If not set, will use the value from the `Accelerator` directly." + }, + ) + gradient_clipping: float = field(default=None, metadata={"help": "Enable gradient clipping with value"}) + zero_stage: int = field( + default=None, + metadata={"help": "Possible options are 0,1,2,3; Default will be taken from environment variable"}, + ) + is_train_batch_min: bool = field( + default=True, + metadata={"help": "If both train & eval dataloaders are specified, this will decide the train_batch_size"}, + ) + offload_optimizer_device: str = field( + default=None, + metadata={"help": "Possible options are none|cpu|nvme. Only applicable with ZeRO Stages 2 and 3."}, + ) + offload_param_device: str = field( + default=None, + metadata={"help": "Possible options are none|cpu|nvme. Only applicable with ZeRO Stage 3."}, + ) + offload_optimizer_nvme_path: str = field( + default=None, + metadata={"help": "Possible options are /nvme|/local_nvme. Only applicable with ZeRO Stage 3."}, + ) + offload_param_nvme_path: str = field( + default=None, + metadata={"help": "Possible options are /nvme|/local_nvme. Only applicable with ZeRO Stage 3."}, + ) + zero3_init_flag: bool = field( + default=None, + metadata={ + "help": "Flag to indicate whether to enable `deepspeed.zero.Init` for constructing massive models." + "Only applicable with ZeRO Stage-3." + }, + ) + zero3_save_16bit_model: bool = field( + default=None, + metadata={"help": "Flag to indicate whether to save 16-bit model. Only applicable with ZeRO Stage-3."}, + ) + transformer_moe_cls_names: str = field( + default=None, + metadata={ + "help": "comma-separated list of transformers MoE layer class names (case-sensitive), e.g : " + " `MixtralSparseMoeBlock`, `Qwen2MoeSparseMoeBlock`, `JetMoEAttention,JetMoEBlock` ..." + }, + ) + enable_msamp: bool = field( + default=None, + metadata={"help": "Flag to indicate whether to enable MS-AMP backend for FP8 training."}, + ) + msamp_opt_level: Optional[Literal["O1", "O2"]] = field( + default=None, + metadata={ + "help": "Optimization level for MS-AMP (defaults to 'O1'). Only applicable if `enable_msamp` is True. Should be one of ['O1' or 'O2']." + }, + ) + + def __post_init__(self): + from .deepspeed import HfDeepSpeedConfig + + if self.gradient_accumulation_steps is None: + gas = os.environ.get("ACCELERATE_GRADIENT_ACCUMULATION_STEPS", "auto") + self.gradient_accumulation_steps = int(gas) if gas.isdigit() else gas + + if self.gradient_clipping is None: + gradient_clipping = os.environ.get("ACCELERATE_GRADIENT_CLIPPING", "auto") + self.gradient_clipping = gradient_clipping if gradient_clipping == "auto" else float(gradient_clipping) + + if self.zero_stage is None: + self.zero_stage = int(os.environ.get("ACCELERATE_DEEPSPEED_ZERO_STAGE", 2)) + + if self.offload_optimizer_device is None: + self.offload_optimizer_device = os.environ.get("ACCELERATE_DEEPSPEED_OFFLOAD_OPTIMIZER_DEVICE", "none") + + if self.offload_param_device is None: + self.offload_param_device = os.environ.get("ACCELERATE_DEEPSPEED_OFFLOAD_PARAM_DEVICE", "none") + + if self.offload_optimizer_nvme_path is None: + self.offload_optimizer_nvme_path = os.environ.get( + "ACCELERATE_DEEPSPEED_OFFLOAD_OPTIMIZER_NVME_PATH", "none" + ) + + if self.offload_param_nvme_path is None: + self.offload_param_nvme_path = os.environ.get("ACCELERATE_DEEPSPEED_OFFLOAD_PARAM_NVME_PATH", "none") + + if self.zero3_save_16bit_model is None: + self.zero3_save_16bit_model = ( + os.environ.get("ACCELERATE_DEEPSPEED_ZERO3_SAVE_16BIT_MODEL", "false").lower() == "true" + ) + if self.enable_msamp is None: + self.enable_msamp = os.environ.get("ACCELERATE_FP8_BACKEND", None) == "MSAMP" + + if self.msamp_opt_level is None: + self.msamp_opt_level = os.environ.get("ACCELERATE_FP8_OPT_LEVEL", "O1") + + if self.hf_ds_config is None: + self.hf_ds_config = os.environ.get("ACCELERATE_DEEPSPEED_CONFIG_FILE", "none") + + if ( + isinstance(self.hf_ds_config, dict) + or (isinstance(self.hf_ds_config, str) and self.hf_ds_config != "none") + or isinstance(self.hf_ds_config, HfDeepSpeedConfig) + ): + if not isinstance(self.hf_ds_config, HfDeepSpeedConfig): + self.hf_ds_config = HfDeepSpeedConfig(self.hf_ds_config) + if "gradient_accumulation_steps" not in self.hf_ds_config.config: + self.hf_ds_config.config["gradient_accumulation_steps"] = 1 + if "zero_optimization" not in self.hf_ds_config.config: + raise ValueError("Please specify the ZeRO optimization config in the DeepSpeed config.") + + self._deepspeed_config_checks() + plugin_to_config_mapping = { + "gradient_accumulation_steps": "gradient_accumulation_steps", + "gradient_clipping": "gradient_clipping", + "zero_stage": "zero_optimization.stage", + "offload_optimizer_device": "zero_optimization.offload_optimizer.device", + "offload_param_device": "zero_optimization.offload_param.device", + "offload_param_nvme_path": "zero_optimization.offload_param.nvme_path", + "offload_optimizer_nvme_path": "zero_optimization.offload_optimizer.nvme_path", + "zero3_save_16bit_model": "zero_optimization.stage3_gather_16bit_weights_on_model_save", + } + kwargs = {v: getattr(self, k) for k, v in plugin_to_config_mapping.items() if getattr(self, k) is not None} + for key in kwargs.keys(): + self.fill_match(key, **kwargs, must_match=False) + self.hf_ds_config.set_stage_and_offload() + + # filling the missing values in the class attributes from the DeepSpeed config + # when using the DeepSpeed config file. + for key, value in plugin_to_config_mapping.items(): + config_value = self.hf_ds_config.get_value(value) + if config_value is not None and config_value != "auto": + setattr(self, key, config_value) + else: + config = { + "train_batch_size": "auto", + "train_micro_batch_size_per_gpu": "auto", + "gradient_accumulation_steps": self.gradient_accumulation_steps, + "zero_optimization": { + "stage": self.zero_stage, + "offload_optimizer": { + "device": self.offload_optimizer_device, + "nvme_path": ( + self.offload_optimizer_nvme_path if self.offload_optimizer_device == "nvme" else None + ), + }, + "offload_param": { + "device": self.offload_param_device, + "nvme_path": (self.offload_param_nvme_path if self.offload_param_device == "nvme" else None), + }, + "stage3_gather_16bit_weights_on_model_save": self.zero3_save_16bit_model, + }, + } + if self.gradient_clipping: + config["gradient_clipping"] = self.gradient_clipping + self.hf_ds_config = HfDeepSpeedConfig(config) + + self.deepspeed_config = self.hf_ds_config.config + self.deepspeed_config["steps_per_print"] = float("inf") # this will stop deepspeed from logging @ stdout + if self.zero3_init_flag is None: + self.zero3_init_flag = ( + str_to_bool( + os.environ.get( + "ACCELERATE_DEEPSPEED_ZERO3_INIT", + str(self.hf_ds_config.is_zero3()), + ) + ) + == 1 + ) + if self.zero3_init_flag and not self.hf_ds_config.is_zero3(): + warnings.warn("DeepSpeed Zero3 Init flag is only applicable for ZeRO Stage 3. Setting it to False.") + self.zero3_init_flag = False + # NOTE: Set to False by default, will be set to `True` automatically if it's the first plugin passed + # to the `Accelerator`'s `deepspeed_plugin` param, *or* `AcceleratorState().enable_deepspeed_plugin(plugin_key)` is manually called + self._set_selected(False) + + # Ignore if it's already set + if self.enable_msamp and "msamp" not in self.deepspeed_config: + if self.zero_stage == 3: + raise NotImplementedError( + "MS-AMP is not supported for ZeRO Stage 3. Please use ZeRO Stage 0, 1, or 2 instead." + ) + if self.msamp_opt_level not in ["O1", "O2"]: + raise ValueError("Invalid optimization level for MS-AMP. Please use one of ['O1' or'O2'].") + self.deepspeed_config["msamp"] = { + "enabled": True, + "opt_level": self.msamp_opt_level, + } + + def fill_match(self, ds_key_long, mismatches=None, must_match=True, **kwargs): + mismatches = [] if mismatches is None else mismatches + config, ds_key = self.hf_ds_config.find_config_node(ds_key_long) + if config is None: + return + + if config.get(ds_key) == "auto": + if ds_key_long in kwargs: + config[ds_key] = kwargs[ds_key_long] + return + else: + raise ValueError( + f"`{ds_key_long}` not found in kwargs. " + f"Please specify `{ds_key_long}` without `auto` (set to correct value) in the DeepSpeed config file or " + "pass it in kwargs." + ) + + if not must_match: + return + + ds_val = config.get(ds_key) + if ds_val is not None and ds_key_long in kwargs: + if ds_val != kwargs[ds_key_long]: + mismatches.append(f"- ds {ds_key_long}={ds_val} vs arg {ds_key_long}={kwargs[ds_key_long]}") + + def is_auto(self, ds_key_long): + val = self.hf_ds_config.get_value(ds_key_long) + if val is None: + return False + else: + return val == "auto" + + def get_value(self, ds_key_long, default=None): + return self.hf_ds_config.get_value(ds_key_long, default) + + def deepspeed_config_process(self, prefix="", mismatches=None, config=None, must_match=True, **kwargs): + """Process the DeepSpeed config with the values from the kwargs.""" + mismatches = [] if mismatches is None else mismatches + if config is None: + config = self.deepspeed_config + for key, value in config.items(): + if isinstance(value, dict): + self.deepspeed_config_process( + prefix=prefix + key + ".", + mismatches=mismatches, + config=value, + must_match=must_match, + **kwargs, + ) + else: + self.fill_match(prefix + key, mismatches, must_match=must_match, **kwargs) + if len(mismatches) > 0 and prefix == "": + mismatches_msg = "\n".join(mismatches) + raise ValueError( + "Please correct the following DeepSpeed config values that mismatch kwargs " + f" values:\n{mismatches_msg}\nThe easiest method is to set these DeepSpeed config values to 'auto'." + ) + + def set_mixed_precision(self, mixed_precision): + ds_config = self.deepspeed_config + kwargs = { + "fp16.enabled": mixed_precision == "fp16", + # When training in fp8, we still rely on bf16 autocast for the core mixed precision + "bf16.enabled": mixed_precision in ("bf16", "fp8"), + } + if mixed_precision == "fp16": + if "fp16" not in ds_config: + ds_config["fp16"] = {"enabled": True, "auto_cast": True} + elif mixed_precision in ("bf16", "fp8"): + if "bf16" not in ds_config: + ds_config["bf16"] = {"enabled": True} + + if mixed_precision == "fp8" and self.enable_msamp: + if "msamp" not in ds_config: + ds_config["msamp"] = { + "enabled": True, + "opt_level": self.msamp_opt_level, + } + + if mixed_precision != "no": + diff_dtype = "bf16" if mixed_precision == "fp16" else "fp16" + if str(ds_config.get(diff_dtype, {}).get("enabled", "False")).lower() == "true": + raise ValueError( + f"`--mixed_precision` arg cannot be set to `{mixed_precision}` when `{diff_dtype}` is set in the DeepSpeed config file." + ) + for dtype in ["fp16", "bf16"]: + if dtype not in ds_config: + ds_config[dtype] = {"enabled": False} + self.fill_match("fp16.enabled", must_match=False, **kwargs) + self.fill_match("bf16.enabled", must_match=False, **kwargs) + + def set_deepspeed_weakref(self): + from .imports import is_transformers_available + + ds_config = copy.deepcopy(self.deepspeed_config) + if self.zero3_init_flag: + if not is_transformers_available(): + raise Exception( + "When `zero3_init_flag` is set, it requires Transformers to be installed. " + "Please run `pip install transformers`." + ) + if "gradient_accumulation_steps" not in ds_config or ds_config["gradient_accumulation_steps"] == "auto": + ds_config["gradient_accumulation_steps"] = 1 + if "train_micro_batch_size_per_gpu" not in ds_config or ds_config["train_micro_batch_size_per_gpu"] == "auto": + ds_config["train_micro_batch_size_per_gpu"] = 1 + if ds_config.get("train_batch_size", None) == "auto": + del ds_config["train_batch_size"] + + if compare_versions("transformers", "<", "4.46"): + from transformers.deepspeed import ( + HfDeepSpeedConfig, + unset_hf_deepspeed_config, + ) + else: + from transformers.integrations import ( + HfDeepSpeedConfig, + unset_hf_deepspeed_config, + ) + + unset_hf_deepspeed_config() + self.dschf = HfDeepSpeedConfig(ds_config) # keep this object alive # noqa + + def is_zero3_init_enabled(self): + return self.zero3_init_flag + + @contextmanager + def zero3_init_context_manager(self, enable=False): + old = self.zero3_init_flag + if old == enable: + yield + else: + self.zero3_init_flag = enable + self.dschf = None + self.set_deepspeed_weakref() + yield + self.zero3_init_flag = old + self.dschf = None + self.set_deepspeed_weakref() + + def _deepspeed_config_checks(self): + env_variable_names_to_ignore = [ + "ACCELERATE_GRADIENT_ACCUMULATION_STEPS", + "ACCELERATE_GRADIENT_CLIPPING", + "ACCELERATE_DEEPSPEED_ZERO_STAGE", + "ACCELERATE_DEEPSPEED_OFFLOAD_OPTIMIZER_DEVICE", + "ACCELERATE_DEEPSPEED_OFFLOAD_PARAM_DEVICE", + "ACCELERATE_DEEPSPEED_OFFLOAD_PARAM_NVME_PATH", + "ACCELERATE_DEEPSPEED_OFFLOAD_OPTIMIZER_NVME_PATH", + "ACCELERATE_DEEPSPEED_ZERO3_SAVE_16BIT_MODEL", + "ACCELERATE_MIXED_PRECISION", + ] + env_variable_names_to_ignore = [ + name.replace("ACCELERATE_", "").replace("DEEPSPEED_", "").lower() for name in env_variable_names_to_ignore + ] + + deepspeed_fields_from_accelerate_config = os.environ.get("ACCELERATE_CONFIG_DS_FIELDS", "").split(",") + + if any(name in env_variable_names_to_ignore for name in deepspeed_fields_from_accelerate_config): + raise ValueError( + f"When using `deepspeed_config_file`, the following accelerate config variables will be ignored: {env_variable_names_to_ignore}.\n" + "Please specify them appropriately in the DeepSpeed config file.\n" + "If you are using an accelerate config file, remove others config variables mentioned in the above specified list.\n" + "The easiest method is to create a new config following the questionnaire via `accelerate config`.\n" + "It will only ask for the necessary config variables when using `deepspeed_config_file`." + ) + + def set_moe_leaf_modules(self, model): + if self.transformer_moe_cls_names is None: + self.transformer_moe_cls_names = os.environ.get("ACCELERATE_DEEPSPEED_MOE_LAYER_CLS_NAMES", None) + if self.transformer_moe_cls_names is not None: + if compare_versions("deepspeed", "<", "0.14.0"): + raise ImportError("DeepSpeed version must be >= 0.14.0 to use MOE support. Please update DeepSpeed.") + from deepspeed.utils import set_z3_leaf_modules + + class_names = self.transformer_moe_cls_names.split(",") + transformer_moe_cls = [] + for layer_class in class_names: + transformer_cls = get_module_class_from_name(model, layer_class) + if transformer_cls is None: + raise Exception( + f"Could not find a transformer layer class called '{layer_class}' to wrap in the model." + ) + else: + transformer_moe_cls.append(transformer_cls) + set_z3_leaf_modules(model, transformer_moe_cls) # z3_leaf + + def select(self, _from_accelerator_state: bool = False): + """ + Sets the HfDeepSpeedWeakref to use the current deepspeed plugin configuration + """ + if not _from_accelerator_state: + raise ValueError( + "A `DeepSpeedPlugin` object must be enabled manually by calling `AcceleratorState().enable_deepspeed_plugin(plugin_key)`." + ) + self.set_deepspeed_weakref() + self._set_selected(True) + + def _unselect(self): + self._set_selected(False) + + def _set_selected(self, value: bool): + """ + Private setter for the 'enabled' attribute. + """ + self._selected = value + + @property + def selected(self): + return self._selected + + @selected.setter + def selected(self, value): + raise NotImplementedError( + "'enabled' can only be set through calling 'AcceleratorState().enable_deepspeed_plugin(key)'." + ) + + +@dataclass +class FullyShardedDataParallelPlugin: + """ + This plugin is used to enable fully sharded data parallelism. + + Args: + fsdp_version (`int`, defaults to `1`): + The version of FSDP to use. Defaults to 1. If set to 2, launcher expects the config to be converted to + FSDP2 format. + sharding_strategy (`Union[str, torch.distributed.fsdp.ShardingStrategy]`, defaults to `'FULL_SHARD'`): + Sharding strategy to use. Should be either a `str` or an instance of + `torch.distributed.fsdp.fully_sharded_data_parallel.ShardingStrategy`. Is deprecated in favor of + `reshard_after_forward`. + reshard_after_forward (`Union[str, torch.distributed.fsdp.ShardingStrategy, bool]`, defaults to `'FULL_SHARD'` for `fsdp_version=1` and `True` for `fsdp_version=2`): + Sharding strategy to use. Should be a bool if `fsdp_version` is set to 2 else a `str` or an instance of + `torch.distributed.fsdp.fully_sharded_data_parallel.ShardingStrategy`. + backward_prefetch (`Union[str, torch.distributed.fsdp.BackwardPrefetch]`, defaults to `'NO_PREFETCH'`): + Backward prefetch strategy to use. Should be either a `str` or an instance of + `torch.distributed.fsdp.fully_sharded_data_parallel.BackwardPrefetch`. + mixed_precision_policy (`Optional[Union[dict, str, torch.distributed.fsdp.MixedPrecision, torch.distributed.fsdp.MixedPrecisionPolicy]]`, defaults to `None`): + A config to enable mixed precision training with FullyShardedDataParallel. If passing in a `dict`, it + should have the following keys: `param_dtype`, `reduce_dtype`, and `buffer_dtype`, can be an instance of + `torch.distributed.fsdp.MixedPrecisionPolicy` if `fsdp_version` is set to 2. If passing in a `str`, it + should be one of the following values: fp8, fp16, bf16, fp32, and used to set `param_dtype`, + `reduce_dtype`, and `buffer_dtype`. + auto_wrap_policy (`Optional(Union[Callable, Literal["transformer_based_wrap", "size_based_wrap", "no_wrap"]]), defaults to `NO_WRAP`): + A callable or string specifying a policy to recursively wrap layers with FSDP. If a string, it must be one + of `transformer_based_wrap`, `size_based_wrap`, or `no_wrap`. See + `torch.distributed.fsdp.wrap.size_based_wrap_policy` for a direction on what it should look like. + cpu_offload (`Union[bool, torch.distributed.fsdp.CPUOffload, torch.distributed.fsdp.CPUOffloadPolicy]`, defaults to `False`): + Whether to offload parameters to CPU. Should be either a `bool` or an instance of + `torch.distributed.fsdp.fully_sharded_data_parallel.CPUOffload` or + `torch.distributed.fsdp.fully_sharded_data_parallel.CPUOffloadPolicy` if `fsdp_version` is set to 2. + ignored_modules (`Optional[Union[Iterable[torch.nn.Module], str]]`, defaults to `None`): + A list of modules to ignore when wrapping with FSDP. When passing a string, will match the modules by name + using regex fullmatch. If `fsdp_version` is set to 2, the modules are converted to parameters and used. + state_dict_type (`Union[str, torch.distributed.fsdp.StateDictType]`, defaults to `'FULL_STATE_DICT'`): + State dict type to use. If a string, it must be one of `full_state_dict`, `local_state_dict`, or + `sharded_state_dict`. + state_dict_config (`Optional[Union[torch.distributed.fsdp.FullStateDictConfig, torch.distributed.fsdp.ShardedStateDictConfig]`, defaults to `None`): + State dict config to use. Is determined based on the `state_dict_type` if not passed in. + optim_state_dict_config (`Optional[Union[torch.distributed.fsdp.FullOptimStateDictConfig, torch.distributed.fsdp.ShardedOptimStateDictConfig]`, defaults to `None`): + Optim state dict config to use. Is determined based on the `state_dict_type` if not passed in. + limit_all_gathers (`bool`, defaults to `True`): + Whether to have FSDP explicitly synchronizes the CPU thread to prevent too many in-flight all-gathers. This + bool only affects the sharded strategies that schedule all-gathers. Enabling this can help lower the number + of CUDA malloc retries. + use_orig_params (`bool`, defaults to `False`): + Whether to use the original parameters for the optimizer. + param_init_fn (`Optional[Callable[[torch.nn.Module], None]`, defaults to `None`): + A `Callable[torch.nn.Module] -> None` that specifies how modules that are currently on the meta device + should be initialized onto an actual device. Only applicable when `sync_module_states` is `True`. By + default is a `lambda` which calls `to_empty` on the module. + sync_module_states (`bool`, defaults to `False`): + Whether each individually wrapped FSDP unit should broadcast module parameters from rank 0 to ensure they + are the same across all ranks after initialization. Defaults to `False` unless `cpu_ram_efficient_loading` + is `True`, then will be forcibly enabled. + forward_prefetch (`bool`, defaults to `False`): + Whether to have FSDP explicitly prefetches the next upcoming all-gather while executing in the forward + pass. only use with Static graphs. + activation_checkpointing (`bool`, defaults to `False`): + A technique to reduce memory usage by clearing activations of certain layers and recomputing them during a + backward pass. Effectively, this trades extra computation time for reduced memory usage. + cpu_ram_efficient_loading (`bool`, defaults to `None`): + If True, only the first process loads the pretrained model checkoint while all other processes have empty + weights. Only applicable for Transformers. When using this, `sync_module_states` needs to be `True`. + transformer_cls_names_to_wrap (`Optional[List[str]]`, defaults to `None`): + A list of transformer layer class names to wrap. Only applicable when `auto_wrap_policy` is + `transformer_based_wrap`. + min_num_params (`Optional[int]`, defaults to `None`): + The minimum number of parameters a module must have to be wrapped. Only applicable when `auto_wrap_policy` + is `size_based_wrap`. + """ + + fsdp_version: int = field( + default=None, + metadata={ + "help": "The version of FSDP to use. Defaults to 1. If set to 2, launcher expects the config to be converted to FSDP2 format." + }, + ) + + sharding_strategy: Union[str, "torch.distributed.fsdp.ShardingStrategy"] = field( + default=None, + metadata={ + "help": "Sharding strategy to use. Should be either a `str` or an instance of `torch.distributed.fsdp.fully_sharded_data_parallel.ShardingStrategy`. Defaults to 'FULL_SHARD'. Is deprecated in favor of `reshard_after_forward` " + }, + ) + + reshard_after_forward: Union[str, "torch.distributed.fsdp.ShardingStrategy", bool] = field( + default=None, + metadata={ + "help": "Sharding strategy to use. Should be a bool if `fsdp_version` is set to 2 else a `str` or an instance of `torch.distributed.fsdp.fully_sharded_data_parallel.ShardingStrategy`. Defaults to 'FULL_SHARD'" + }, + ) + backward_prefetch: Optional[Union[str, "torch.distributed.fsdp.BackwardPrefetch"]] = field( + default=None, + metadata={ + "help": "Backward prefetch strategy to use. Should be either a `str` or an instance of `torch.distributed.fsdp.fully_sharded_data_parallel.BackwardPrefetch`. Defaults to 'NO_PREFETCH'. This becomes obsolete in FSDP2." + }, + ) + mixed_precision_policy: Optional[ + Union[ + dict, + str, + "torch.distributed.fsdp.MixedPrecision", + "torch.distributed.fsdp.MixedPrecisionPolicy", + ] + ] = field( + default=None, + metadata={ + "help": "A config to enable mixed precision training with FullyShardedDataParallel. " + "If passing in a `dict`, it should have the following keys: `param_dtype`, `reduce_dtype`, and `buffer_dtype`." + "Can also be an instance of `torch.distributed.fsdp.MixedPrecisionPolicy` if `fsdp_version` is set to 2." + }, + ) + auto_wrap_policy: Optional[Union[Callable, Literal["transformer_based_wrap", "size_based_wrap", "no_wrap"]]] = ( + field( + default=None, + metadata={ + "help": "A callable or string specifying a policy to recursively wrap layers with FSDP. If a string, it must be one of `transformer_based_wrap`, `size_based_wrap`, or `no_wrap`. " + "Defaults to `NO_WRAP`. See `torch.distributed.fsdp.wrap.size_based_wrap_policy` for a direction on what it should look like" + }, + ) + ) + cpu_offload: Union[ + bool, + "torch.distributed.fsdp.CPUOffload", + "torch.distributed.fsdp.CPUOffloadPolicy", + ] = field( + default=None, + metadata={ + "help": "Whether to offload parameters to CPU. Should be either a `bool` or an instance of `torch.distributed.fsdp.fully_sharded_data_parallel.CPUOffload` or `torch.distributed.fsdp.fully_sharded_data_parallel.CPUOffloadPolicy` if `fsdp_version` is set to 2. Defaults to `False`" + }, + ) + ignored_modules: Optional[Union[Iterable[torch.nn.Module], str]] = field( + default=None, + metadata={"help": "A list of modules to ignore when wrapping with FSDP."}, + ) + + state_dict_type: Union[str, "torch.distributed.fsdp.StateDictType"] = field( + default=None, + metadata={ + "help": "State dict type to use. If a string, it must be one of `full_state_dict`, `local_state_dict`, or `sharded_state_dict`. Defaults to `FULL_STATE_DICT`" + }, + ) + state_dict_config: Optional[ + Union[ + "torch.distributed.fsdp.FullStateDictConfig", + "torch.distributed.fsdp.ShardedStateDictConfig", + ] + ] = field( + default=None, + metadata={"help": "State dict config to use. Is determined based on the `state_dict_type` if not passed in."}, + ) + optim_state_dict_config: Optional[ + Union[ + "torch.distributed.fsdp.FullOptimStateDictConfig", + "torch.distributed.fsdp.ShardedOptimStateDictConfig", + ] + ] = field( + default=None, + metadata={ + "help": "Optim state dict config to use. Is determined based on the `state_dict_type` if not passed in." + }, + ) + limit_all_gathers: bool = field( + default=True, + metadata={ + "help": "Whether to have FSDP explicitly synchronizes the CPU thread to prevent " + "too many in-flight all-gathers. This bool only affects the sharded strategies that schedule all-gathers. " + "Enabling this can help lower the number of CUDA malloc retries." + }, + ) + use_orig_params: Optional[bool] = field( + default=None, + metadata={ + "help": "Whether to use the original parameters for the optimizer. Defaults to `False`. This becomes obsolete in FSDP2." + }, + ) + param_init_fn: Optional[Callable[[torch.nn.Module], None]] = field( + default=None, + metadata={ + "help": "A Callable[torch.nn.Module] -> None that specifies how modules " + "that are currently on the meta device should be initialized onto an actual device. " + "Only applicable when `sync_module_states` is `True`. By default is a `lambda` which calls `to_empty` on the module." + }, + ) + sync_module_states: Optional[bool] = field( + default=None, + metadata={ + "help": "Whether each individually wrapped FSDP unit should broadcast module parameters from rank 0 " + "to ensure they are the same across all ranks after initialization. Defaults to `False` unless " + "`cpu_ram_efficient_loading` is `True`, then will be forcibly enabled. This becomes obsolete in FSDP2." + }, + ) + forward_prefetch: bool = field( + default=None, + metadata={ + "help": "Whether to have FSDP explicitly prefetches the next upcoming " + "all-gather while executing in the forward pass. only use with Static graphs. Defaults to `False`" + }, + ) + activation_checkpointing: bool = field( + default=None, + metadata={ + "help": "A technique to reduce memory usage by clearing activations of " + "certain layers and recomputing them during a backward pass. Effectively, this trades extra computation time " + "for reduced memory usage. Defaults to `False`" + }, + ) + cpu_ram_efficient_loading: bool = field( + default=None, + metadata={ + "help": "If True, only the first process loads the pretrained model checkoint while all other processes have empty weights. " + "Only applicable for 🤗 Transformers. When using this, `sync_module_states` needs to be `True`. Defaults to `False`." + }, + ) + transformer_cls_names_to_wrap: Optional[list[str]] = field( + default=None, + metadata={ + "help": "A list of transformer layer class names to wrap. Only applicable when `auto_wrap_policy` is `transformer_based_wrap`." + }, + ) + min_num_params: Optional[int] = field( + default=None, + metadata={ + "help": "The minimum number of parameters a module must have to be wrapped. Only applicable when `auto_wrap_policy` is `size_based_wrap`." + }, + ) + + def __post_init__(self): + from torch.distributed.fsdp import BackwardPrefetch, ShardingStrategy + + _fsdp2_warnings = set() + + env_prefix = "FSDP_" + # Strategy: By default we should always assume that values are passed in, else we check the environment variables + if self.fsdp_version is None: + self.fsdp_version = int(os.environ.get(env_prefix + "VERSION", "1")) + + if self.fsdp_version == 2: + if not is_torch_version(">=", FSDP2_PYTORCH_VERSION): + raise ImportError(f"FSDP2 requires PyTorch >= {FSDP2_PYTORCH_VERSION}") + + if self.sharding_strategy is not None: + # We cannot properly detect all of the cases, as by default `args.fsdp_sharding_strategy` is set to `fully_shard` + # Therefore we issue a warning only if the user has explicitly set it inside their plugin + _fsdp2_warnings.add( + "sharding_strategy is deprecated in favor of reshard_after_forward. " + "This will be removed in a future version of Accelerate." + ) + if self.fsdp_version == 1: + if self.sharding_strategy is None: + self.sharding_strategy = os.environ.get(env_prefix + "SHARDING_STRATEGY", "FULL_SHARD") + if isinstance(self.sharding_strategy, str): + if self.sharding_strategy.upper() in FSDP_SHARDING_STRATEGY: + self.sharding_strategy = FSDP_SHARDING_STRATEGY.index(self.sharding_strategy.upper()) + 1 + if isinstance(self.sharding_strategy, int) or self.sharding_strategy.isdigit(): + self.sharding_strategy = ShardingStrategy(int(self.sharding_strategy)) + else: + self.sharding_strategy = ShardingStrategy[self.sharding_strategy.upper()] + + # Fallback to `reshard_after_forward` in FSDP1 if `sharding_strategy` is not set + if self.reshard_after_forward is None and self.sharding_strategy is None: + reshard_after_forward = os.environ.get( + env_prefix + "RESHARD_AFTER_FORWARD", + "true" if self.fsdp_version == 2 else "FULL_SHARD", + ) + if self.fsdp_version == 2: + self.reshard_after_forward = str_to_bool(reshard_after_forward.lower(), to_bool=True) + else: + self.reshard_after_forward = reshard_after_forward + if isinstance(self.reshard_after_forward, str): + if self.fsdp_version == 2: + self.reshard_after_forward = str_to_bool(self.reshard_after_forward.lower(), to_bool=True) + else: + # We need to remap based on custom enum values for user readability + if self.reshard_after_forward.upper() in FSDP_SHARDING_STRATEGY: + self.reshard_after_forward = FSDP_SHARDING_STRATEGY.index(self.reshard_after_forward.upper()) + 1 + if isinstance(self.reshard_after_forward, int) or self.reshard_after_forward.isdigit(): + self.reshard_after_forward = ShardingStrategy(int(self.reshard_after_forward)) + else: + self.reshard_after_forward = ShardingStrategy[self.reshard_after_forward.upper()] + + if self.fsdp_version == 2 and not isinstance(self.reshard_after_forward, bool): + raise ValueError( + f"reshard_after_forward set to {self.reshard_after_forward}. This is not supported with FSDP2, please set to a `bool`" + ) + if self.fsdp_version == 1 and isinstance(self.reshard_after_forward, bool): + raise ValueError( + f"reshard_after_forward set to {self.reshard_after_forward}. This is not supported with FSDP1, please set to a `str` or an instance of `torch.distributed.fsdp.fully_sharded_data_parallel.ShardingStrategy`" + ) + + if self.cpu_offload is None: + self.cpu_offload = str_to_bool(os.environ.get(env_prefix + "OFFLOAD_PARAMS", "False")) == 1 + + self.set_cpu_offload() # abstracted away to hide imports due to version checks + self.validate_cpu_offload() + + if self.backward_prefetch is None: + self.backward_prefetch = os.environ.get(env_prefix + "BACKWARD_PREFETCH", None) + if isinstance(self.backward_prefetch, str) and self.backward_prefetch.upper() == "NO_PREFETCH": + self.backward_prefetch = None + if self.backward_prefetch is not None and not isinstance(self.backward_prefetch, BackwardPrefetch): + if isinstance(self.backward_prefetch, str) and self.backward_prefetch.upper() in FSDP_BACKWARD_PREFETCH: + self.backward_prefetch = FSDP_BACKWARD_PREFETCH.index(self.backward_prefetch.upper()) + 1 + if isinstance(self.backward_prefetch, int) or self.backward_prefetch.isdigit(): + self.backward_prefetch = BackwardPrefetch(int(self.backward_prefetch)) + else: + self.backward_prefetch = BackwardPrefetch[self.backward_prefetch.upper()] + if self.fsdp_version == 2 and self.backward_prefetch is not None: + _fsdp2_warnings.add("backward_prefetch is not supported in FSDP2. Setting backward prefetch to None.") + self.backward_prefetch = None + + self.set_state_dict_type() + + if self.auto_wrap_policy is None: + self.auto_wrap_policy = os.environ.get(env_prefix + "AUTO_WRAP_POLICY", "NO_WRAP") + if isinstance(self.auto_wrap_policy, str): + if self.auto_wrap_policy.upper() not in FSDP_AUTO_WRAP_POLICY: + raise ValueError( + f"Invalid auto wrap policy: {self.auto_wrap_policy}. Must be one of {FSDP_AUTO_WRAP_POLICY}" + ) + from torch.distributed.fsdp.wrap import ( + size_based_auto_wrap_policy, + transformer_auto_wrap_policy, + ) + + if self.auto_wrap_policy.upper() == "TRANSFORMER_BASED_WRAP": + self.auto_wrap_policy = transformer_auto_wrap_policy + if self.transformer_cls_names_to_wrap is None: + self.transformer_cls_names_to_wrap = os.environ.get(env_prefix + "TRANSFORMER_CLS_TO_WRAP", None) + if isinstance(self.transformer_cls_names_to_wrap, str): + self.transformer_cls_names_to_wrap = self.transformer_cls_names_to_wrap.split(",") + elif self.auto_wrap_policy.upper() == "SIZE_BASED_WRAP": + self.auto_wrap_policy = size_based_auto_wrap_policy + if self.min_num_params is None: + self.min_num_params = int(os.environ.get(env_prefix + "MIN_NUM_PARAMS", 0)) + elif not isinstance(self.min_num_params, int): + raise ValueError( + f"`min_num_params` must be an integer. Got {self.min_num_params} of type {type(self.min_num_params)}" + ) + elif self.auto_wrap_policy.upper() == "NO_WRAP": + self.auto_wrap_policy = None + + if self.use_orig_params is None and self.fsdp_version == 1: + self.use_orig_params = str_to_bool(os.environ.get(env_prefix + "USE_ORIG_PARAMS", "False")) == 1 + if self.fsdp_version == 2 and self.use_orig_params is not None: + _fsdp2_warnings.add("use_orig_params is obsolete in FSDP2, as FSDP2 always uses the original parameters.") + self.use_orig_params = None + + if self.sync_module_states is None and self.fsdp_version == 1: + self.sync_module_states = str_to_bool(os.environ.get(env_prefix + "SYNC_MODULE_STATES", "False")) == 1 + if self.fsdp_version == 2 and self.sync_module_states is not None: + _fsdp2_warnings.add( + "sync_module_states is obsolete in FSDP2, as it is not needed anymore." + "Setting sync_module_states to None." + ) + self.sync_module_states = None + + if self.forward_prefetch is None and self.fsdp_version == 1: + self.forward_prefetch = str_to_bool(os.environ.get(env_prefix + "FORWARD_PREFETCH", "False")) == 1 + if self.fsdp_version == 2 and self.forward_prefetch is not None: + raise ValueError("forward_prefetch is not yet implemented in FSDP2, set to None or use `fsdp_version=1`") + + if self.activation_checkpointing is None: + self.activation_checkpointing = ( + str_to_bool(os.environ.get(env_prefix + "ACTIVATION_CHECKPOINTING", "False")) == 1 + ) + + if self.ignored_modules is None: + self.ignored_modules = os.environ.get(env_prefix + "IGNORED_MODULES", None) + + if self.cpu_ram_efficient_loading is None: + self.cpu_ram_efficient_loading = ( + str_to_bool(os.environ.get(env_prefix + "CPU_RAM_EFFICIENT_LOADING", "False")) == 1 + ) + else: + # We still need to set it for transformers + os.environ[env_prefix + "CPU_RAM_EFFICIENT_LOADING"] = str(self.cpu_ram_efficient_loading) + # There's no need to specify sync_module_states in FSDP2 + if self.fsdp_version == 1 and self.cpu_ram_efficient_loading and not self.sync_module_states: + warnings.warn( + "sync_module_states cannot be False since efficient cpu ram loading enabled. " + "Setting sync_module_states to True." + ) + self.sync_module_states = True + if isinstance(self.mixed_precision_policy, str): + # override is True since self.mixed_precision_policy is not None + # has to be overwritten with the correct mixed precision object + self.set_mixed_precision(self.mixed_precision_policy, override=True) + elif isinstance(self.mixed_precision_policy, dict): + self.set_mixed_precision(self.mixed_precision_policy) + if self.mixed_precision_policy is not None: + self.validate_mixed_precision_policy() + + if self.sync_module_states: + if is_npu_available(): + device = torch.npu.current_device() + elif is_mlu_available(): + device = torch.mlu.current_device() + elif is_musa_available(): + device = torch.musa.current_device() + elif is_cuda_available(): + device = torch.cuda.current_device() + elif is_xpu_available(): + device = torch.xpu.current_device() + elif is_hpu_available(): + device = torch.hpu.current_device() + else: + raise RuntimeError( + "There are currently no available devices found, must be one of 'XPU', 'CUDA', 'MLU', 'NPU', 'MUSA', or 'HPU'." + ) + # Create a function that will be used to initialize the parameters of the model + # when using `sync_module_states` + self.param_init_fn = lambda x: x.to_empty(device=device, recurse=False) + if is_torch_version("<", "2.7.0") and self.fsdp_version == 2 and self.ignored_modules is not None: + _fsdp2_warnings.add( + "FSDP2 ignored_params/ignored_modules is not available for torch version < 2.7.0" + "Setting ignored_modules to None." + ) + self.ignored_modules = None + # Single warning for all deprecation warnings due to FSDP2 conversion + if _fsdp2_warnings: + logger.warning("Multiple deprecation warnings due to FSDP2 conversion:\n".join(_fsdp2_warnings)) + + def set_state_dict_type(self, state_dict_type=None): + """ + Set the state dict config based on the `StateDictType`. + """ + from torch.distributed.fsdp.fully_sharded_data_parallel import ( + FullOptimStateDictConfig, + FullStateDictConfig, + ShardedOptimStateDictConfig, + ShardedStateDictConfig, + StateDictType, + ) + + # Override the state_dict_type if provided, typical use case: + # user trains with sharded, but final save is with full + if state_dict_type is not None: + self.state_dict_type = state_dict_type + + if self.state_dict_type is None: + self.state_dict_type = os.environ.get( + "FSDP_STATE_DICT_TYPE", + "FULL_STATE_DICT" if self.fsdp_version == 1 else "SHARDED_STATE_DICT", + ) + if isinstance(self.state_dict_type, str): + if self.state_dict_type.isdigit(): + self.state_dict_type = StateDictType(int(self.state_dict_type)) + else: + self.state_dict_type = StateDictType[self.state_dict_type.upper()] + + if self.state_dict_type == StateDictType.FULL_STATE_DICT: + if self.state_dict_config is None: + self.state_dict_config = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) + if self.optim_state_dict_config is None: + self.optim_state_dict_config = FullOptimStateDictConfig(offload_to_cpu=True, rank0_only=True) + elif self.state_dict_type == StateDictType.SHARDED_STATE_DICT: + if self.state_dict_config is None: + self.state_dict_config = ShardedStateDictConfig(offload_to_cpu=True) + if self.optim_state_dict_config is None: + self.optim_state_dict_config = ShardedOptimStateDictConfig(offload_to_cpu=True) + + if self.fsdp_version == 2 and self.state_dict_type == StateDictType.LOCAL_STATE_DICT: + raise ValueError( + "FSDP2 does not support LOCAL_STATE_DICT. " + "Please set `fsdp_state_dict_type` to `SHARDED_STATE_DICT` or `FULL_STATE_DICT`." + ) + + def set_auto_wrap_policy(self, model): + """ + Given `model`, creates an `auto_wrap_policy` based on the passed in policy and if we can use the + `transformer_cls_to_wrap` + """ + from torch.distributed.fsdp.wrap import ( + size_based_auto_wrap_policy, + transformer_auto_wrap_policy, + ) + + # First base off of `_no_split_modules` + no_split_modules = getattr(model, "_no_split_modules", None) + default_transformer_cls_names_to_wrap = list(no_split_modules) if no_split_modules is not None else [] + if self.auto_wrap_policy == transformer_auto_wrap_policy: + if self.transformer_cls_names_to_wrap is None: + self.transformer_cls_names_to_wrap = default_transformer_cls_names_to_wrap + transformer_cls_to_wrap = set() + for layer_class in self.transformer_cls_names_to_wrap: + transformer_cls = get_module_class_from_name(model, layer_class) + if transformer_cls is None: + raise ValueError(f"Could not find the transformer layer class {layer_class} in the model.") + transformer_cls_to_wrap.add(transformer_cls) + # Finally we set the auto_wrap_policy to a callable + self.auto_wrap_policy = functools.partial( + self.auto_wrap_policy, transformer_layer_cls=transformer_cls_to_wrap + ) + + elif self.auto_wrap_policy == size_based_auto_wrap_policy: + # If zero, we silently ignore it. + if self.min_num_params > 0: + self.auto_wrap_policy = functools.partial(self.auto_wrap_policy, min_num_params=self.min_num_params) + else: + self.auto_wrap_policy = None + + def set_mixed_precision(self, mixed_precision, buffer_autocast=False, override=False): + "Sets the mixed precision policy for FSDP" + mixed_precision_mapping = { + "fp8": torch.bfloat16, + "fp16": torch.float16, + "bf16": torch.bfloat16, + "fp32": torch.float32, + } + dtype = mixed_precision + if isinstance(mixed_precision, str): + dtype = mixed_precision_mapping.get(mixed_precision, None) + if dtype is None: + raise ValueError( + f"Invalid mixed precision: {mixed_precision}. Must be one of {list(mixed_precision_mapping.keys())}" + ) + elif isinstance(mixed_precision, torch.dtype) and mixed_precision not in mixed_precision_mapping.values(): + raise ValueError( + f"Invalid mixed precision: {mixed_precision}. Must be one of {list(mixed_precision_mapping.values())}" + ) + + buffer_type = torch.float32 if buffer_autocast else dtype + + if self.fsdp_version == 1: + from torch.distributed.fsdp import MixedPrecision + elif self.fsdp_version == 2: + from torch.distributed.fsdp import MixedPrecisionPolicy as MixedPrecision + + if override or self.mixed_precision_policy is None: + dtype_args = {"param_dtype": dtype, "reduce_dtype": dtype} + if self.fsdp_version == 1: + dtype_args["buffer_dtype"] = buffer_type + else: + dtype_args["output_dtype"] = dtype + # TODO(s1ro1): `cast_forward_inputs` for FSDP2? + self.mixed_precision_policy = MixedPrecision(**dtype_args) + elif isinstance(self.mixed_precision_policy, dict): + # Check for incompatible types + valid_keys = ["param_dtype", "reduce_dtype"] + ( + ["buffer_dtype"] if self.fsdp_version == 1 else ["output_dtype"] + ) + missing_keys = [k for k in valid_keys if k not in self.mixed_precision_policy] + invalid_values = [ + k for k, v in self.mixed_precision_policy.items() if v not in mixed_precision_mapping.values() + ] + if missing_keys or invalid_values: + raise ValueError( + f"Invalid mixed precision policy: {self.mixed_precision_policy}. " + f"Must be a `dict` with keys {valid_keys}." + f"Values must be one of {list(mixed_precision_mapping.values())}" + ) + self.mixed_precision_policy = MixedPrecision(**self.mixed_precision_policy) + + def validate_mixed_precision_policy(self): + """ + Validates the mixed precision policy, abstracted away to not bring in the imports if not needed. + """ + if self.fsdp_version == 2: + from torch.distributed.fsdp import MixedPrecisionPolicy as MixedPrecision + else: + from torch.distributed.fsdp import MixedPrecision + + if not isinstance(self.mixed_precision_policy, MixedPrecision): + required_type = ( + "`torch.distributed.fsdp.MixedPrecisionPolicy`" + if self.fsdp_version == 2 + else "`torch.distributed.fsdp.MixedPrecision`" + ) + raise ValueError(f"mixed_precision_policy must be an instance of {required_type}.") + + def set_cpu_offload(self): + if self.fsdp_version == 2: + from torch.distributed.fsdp import CPUOffloadPolicy, OffloadPolicy + else: + from torch.distributed.fsdp import CPUOffload + + if isinstance(self.cpu_offload, bool): + if self.fsdp_version == 2: + if not self.cpu_offload: + self.cpu_offload = OffloadPolicy() + else: + self.cpu_offload = CPUOffloadPolicy() + else: + self.cpu_offload = CPUOffload(offload_params=self.cpu_offload) + + def validate_cpu_offload(self): + if self.fsdp_version == 2: + from torch.distributed.fsdp import OffloadPolicy + else: + from torch.distributed.fsdp import CPUOffload + + if self.fsdp_version == 2 and not isinstance(self.cpu_offload, OffloadPolicy): + raise ValueError( + f"`cpu_offload` must be an instance of `torch.distributed.fsdp.OffloadPolicy` in FSDP2, got {self.cpu_offload}" + ) + if self.fsdp_version == 1 and not isinstance(self.cpu_offload, CPUOffload): + raise ValueError( + f"`cpu_offload` must be an instance of `torch.distributed.fsdp.CPUOffload` in FSDP1, got {self.cpu_offload}" + ) + + +@dataclass +class TorchTensorParallelPlugin: + """ + This plugin is used to enable tensor parallelism using PyTorch >= 2.0. + """ + + tp_size: int = field( + default=1, + metadata={"help": "tensor parallel size will be used in the device mesh preparation"}, + ) + + # torch_device_mesh is of type "torch.distributed.DeviceMesh" + torch_device_mesh: Optional["torch.distributed.DeviceMesh"] = field(default=None) + + +@dataclass +class TorchContextParallelConfig: + """ + This class holds the configuration for context parallelism in PyTorch. + """ + + cp_comm_strategy: Optional[str] = field( + default=None, + metadata={ + "help": "Communication strategy for context parallelism. Can be one of 'allgather' or 'alltoall'. Defaults to 'allgather'." + }, + ) + + def __post_init__(self): + if not is_torch_version(">=", BETA_CP_AVAILABLE_PYTORCH_VERSION): + raise ValueError( + f"FSDP2-based Context parallelism is only available in PyTorch {BETA_CP_AVAILABLE_PYTORCH_VERSION} and later versions. " + "Please upgrade your PyTorch version." + ) + + if self.cp_comm_strategy is None: + self.cp_comm_strategy = os.environ.get("PARALLELISM_CONFIG_CP_COMM_STRATEGY", "allgather") + if self.cp_comm_strategy not in ["allgather", "alltoall"]: + raise ValueError( + f"Invalid cp_comm_strategy: {self.cp_comm_strategy}. Must be one of 'allgather' or 'alltoall'." + ) + + +@dataclass +class DeepSpeedSequenceParallelConfig: + sp_seq_length: Optional[int] = field( + default=None, + metadata={ + "help": "Sequence length for when batches are all of the same length. For variable sequence lengths across batches set `sp_seq_length_is_variable=True` and leave this field unset" + }, + ) + sp_seq_length_is_variable: Optional[bool] = field( + default=None, + metadata={ + "help": "If `True` will work with a sequence length that may change between batches, in which case `sp_seq_length` value can be set to anything divisible by cp size or remain unset. If `False` then `sp_seq_length` needs to match the batch's sequence length dimension. The default is `True`." + }, + ) + sp_attn_implementation: Optional[str] = field( + default=None, + metadata={ + "help": "Attention implementation to use. Can be one of 'flash_attention_2', 'flash_attention_3' or 'sdpa'. Defaults to `sdpa`." + }, + ) + + def __post_init__(self): + # sp_seq_length_is_variable and sp_seq_length are interconnected + if self.sp_seq_length_is_variable is None: + self.sp_seq_length_is_variable = ( + os.environ.get("PARALLELISM_CONFIG_SP_SEQ_LENGTH_IS_VARIABLE", "true").lower() == "true" + ) + + if not self.sp_seq_length_is_variable and self.sp_seq_length is None: + if "PARALLELISM_CONFIG_SP_SEQ_LENGTH" not in os.environ: + raise ValueError( + "when `sp_seq_length_is_variable` is `False` `sp_seq_length` must be provided either through the constructor or the environment variable PARALLELISM_CONFIG_SP_SEQ_LENGTH" + ) + else: + self.sp_seq_length = os.environ.get("PARALLELISM_CONFIG_SP_SEQ_LENGTH") + self.sp_seq_length = None if self.sp_seq_length == "None" else int(self.sp_seq_length) + + if self.sp_attn_implementation is None: + self.sp_attn_implementation = os.environ.get("PARALLELISM_CONFIG_SP_ATTN_IMPLEMENTATION", None) + + if self.sp_attn_implementation is not None and self.sp_attn_implementation not in [ + "flash_attention_2", + "flash_attention_3", + "sdpa", + ]: + raise ValueError( + f"Invalid sp_attn_implementation: {self.sp_attn_implementation}. Must be one of 'flash_attention_2', 'flash_attention_3' or 'sdpa'." + ) + + +@dataclass +class TorchTensorParallelConfig: + """ + Use this object in your [`Accelerator`] to customize your torch tensor parallelism. + """ + + enable_async_tp: bool = False + + def __post_init__(self): + if not is_torch_version(">=", BETA_TP_AVAILABLE_PYTORCH_VERSION): + raise ValueError( + f"Torch tensor parallelism is only available in PyTorch {BETA_TP_AVAILABLE_PYTORCH_VERSION} and later versions. " + "Please upgrade your PyTorch version." + ) + + if not compare_versions("transformers", ">=", BETA_TP_AVAILABLE_TRANSFORMERS_VERSION): + raise ValueError(f"TP requires transformers >= {BETA_TP_AVAILABLE_TRANSFORMERS_VERSION}") + + if self.enable_async_tp: + warnings.warn("Async tensor parallelism is currently not supported, ignoring this option.") + + +@dataclass +class MegatronLMPlugin: + """ + Plugin for Megatron-LM to enable tensor, pipeline, sequence and data parallelism. Also to enable selective + activation recomputation and optimized fused kernels. + + Args: + tp_degree (`int`, defaults to `None`): + Tensor parallelism degree. + pp_degree (`int`, defaults to `None`): + Pipeline parallelism degree. + num_micro_batches (`int`, defaults to `None`): + Number of micro-batches. + gradient_clipping (`float`, defaults to `None`): + Gradient clipping value based on global L2 Norm (0 to disable). + sequence_parallelism (`bool`, defaults to `None`): + Enable sequence parallelism. + recompute_activations (`bool`, defaults to `None`): + Enable selective activation recomputation. + use_distributed_optimizr (`bool`, defaults to `None`): + Enable distributed optimizer. + pipeline_model_parallel_split_rank (`int`, defaults to `None`): + Rank where encoder and decoder should be split. + num_layers_per_virtual_pipeline_stage (`int`, defaults to `None`): + Number of layers per virtual pipeline stage. + is_train_batch_min (`str`, defaults to `True`): + If both tran & eval dataloaders are specified, this will decide the `micro_batch_size`. + train_iters (`int`, defaults to `None`): + Total number of samples to train over all training runs. Note that either train-iters or train-samples + should be provided when using `MegatronLMDummyScheduler`. + train_samples (`int`, defaults to `None`): + Total number of samples to train over all training runs. Note that either train-iters or train-samples + should be provided when using `MegatronLMDummyScheduler`. + weight_decay_incr_style (`str`, defaults to `'constant'`): + Weight decay increment function. choices=["constant", "linear", "cosine"]. + start_weight_decay (`float`, defaults to `None`): + Initial weight decay coefficient for L2 regularization. + end_weight_decay (`float`, defaults to `None`): + End of run weight decay coefficient for L2 regularization. + lr_decay_style (`str`, defaults to `'linear'`): + Learning rate decay function. choices=['constant', 'linear', 'cosine']. + lr_decay_iters (`int`, defaults to `None`): + Number of iterations for learning rate decay. If None defaults to `train_iters`. + lr_decay_samples (`int`, defaults to `None`): + Number of samples for learning rate decay. If None defaults to `train_samples`. + lr_warmup_iters (`int`, defaults to `None`): + Number of iterations to linearly warmup learning rate over. + lr_warmup_samples (`int`, defaults to `None`): + Number of samples to linearly warmup learning rate over. + lr_warmup_fraction (`float`, defaults to `None`): + Fraction of lr-warmup-(iters/samples) to linearly warmup learning rate over. + min_lr (`float`, defaults to `0`): + Minimum value for learning rate. The scheduler clip values below this threshold. + consumed_samples (`List`, defaults to `None`): + Number of samples consumed in the same order as the dataloaders to `accelerator.prepare` call. + no_wd_decay_cond (`Optional`, defaults to `None`): + Condition to disable weight decay. + scale_lr_cond (`Optional`, defaults to `None`): + Condition to scale learning rate. + lr_mult (`float`, defaults to `1.0`): + Learning rate multiplier. + megatron_dataset_flag (`bool`, defaults to `False`): + Whether the format of dataset follows Megatron-LM Indexed/Cached/MemoryMapped format. + seq_length (`int`, defaults to `None`): + Maximum sequence length to process. + encoder_seq_length (`int`, defaults to `None`): + Maximum sequence length to process for the encoder. + decoder_seq_length (`int`, defaults to `None`): + Maximum sequence length to process for the decoder. + tensorboard_dir (`str`, defaults to `None`): + Path to save tensorboard logs. + set_all_logging_options (`bool`, defaults to `False`): + Whether to set all logging options. + eval_iters (`int`, defaults to `100`): + Number of iterations to run for evaluation validation/test for. + eval_interval (`int`, defaults to `1000`): + Interval between running evaluation on validation set. + return_logits (`bool`, defaults to `False`): + Whether to return logits from the model. + custom_train_step_class (`Optional`, defaults to `None`): + Custom train step class. + custom_train_step_kwargs (`Optional`, defaults to `None`): + Custom train step kwargs. + custom_model_provider_function (`Optional`, defaults to `None`): + Custom model provider function. + custom_prepare_model_function (`Optional`, defaults to `None`): + Custom prepare model function. + custom_megatron_datasets_provider_function (`Optional`, defaults to `None`): + Custom megatron train_valid_test datasets provider function. + custom_get_batch_function (`Optional`, defaults to `None`): + Custom get batch function. + custom_loss_function (`Optional`, defaults to `None`): + Custom loss function. + other_megatron_args (`Optional`, defaults to `None`): + Other Megatron-LM arguments. Please refer Megatron-LM. + """ + + tp_degree: int = field(default=None, metadata={"help": "tensor parallelism degree."}) + pp_degree: int = field(default=None, metadata={"help": "pipeline parallelism degree."}) + num_micro_batches: int = field(default=None, metadata={"help": "number of micro-batches."}) + gradient_clipping: float = field( + default=None, + metadata={"help": "gradient clipping value based on global L2 Norm (0 to disable)"}, + ) + sequence_parallelism: bool = field( + default=None, + metadata={"help": "enable sequence parallelism"}, + ) + recompute_activations: bool = field( + default=None, + metadata={"help": "enable selective activation recomputation"}, + ) + use_distributed_optimizer: bool = field( + default=None, + metadata={"help": "enable distributed optimizer"}, + ) + pipeline_model_parallel_split_rank: int = field( + default=None, + metadata={"help": "Rank where encoder and decoder should be split."}, + ) + num_layers_per_virtual_pipeline_stage: int = field( + default=None, metadata={"help": "Number of layers per virtual pipeline stage."} + ) + is_train_batch_min: str = field( + default=True, + metadata={"help": "If both train & eval dataloaders are specified, this will decide the micro_batch_size"}, + ) + train_iters: int = field( + default=None, + metadata={ + "help": "Total number of iterations to train over all training runs. " + "Note that either train-iters or train-samples should be provided when using `MegatronLMDummyScheduler`" + }, + ) + train_samples: int = field( + default=None, + metadata={ + "help": "Total number of samples to train over all training runs. " + "Note that either train-iters or train-samples should be provided when using `MegatronLMDummyScheduler`" + }, + ) + weight_decay_incr_style: str = field( + default="constant", + metadata={"help": 'Weight decay increment function. choices=["constant", "linear", "cosine"]. '}, + ) + start_weight_decay: float = field( + default=None, + metadata={"help": "Initial weight decay coefficient for L2 regularization."}, + ) + end_weight_decay: float = field( + default=None, + metadata={"help": "End of run weight decay coefficient for L2 regularization."}, + ) + lr_decay_style: str = field( + default="linear", + metadata={"help": "Learning rate decay function. choices=['constant', 'linear', 'cosine']."}, + ) + lr_decay_iters: int = field( + default=None, + metadata={"help": "Number of iterations for learning rate decay. If None defaults to `train_iters`."}, + ) + lr_decay_samples: int = field( + default=None, + metadata={"help": "Number of samples for learning rate decay. If None defaults to `train_samples`."}, + ) + lr_warmup_iters: int = field( + default=None, + metadata={"help": "number of iterations to linearly warmup learning rate over."}, + ) + lr_warmup_samples: int = field( + default=None, + metadata={"help": "number of samples to linearly warmup learning rate over."}, + ) + lr_warmup_fraction: float = field( + default=None, + metadata={"help": "fraction of lr-warmup-(iters/samples) to linearly warmup learning rate over."}, + ) + min_lr: float = field( + default=0, + metadata={"help": "Minimum value for learning rate. The scheduler clip values below this threshold."}, + ) + consumed_samples: list[int] = field( + default=None, + metadata={ + "help": "Number of samples consumed in the same order as the dataloaders to `accelerator.prepare` call." + }, + ) + no_wd_decay_cond: Optional[Callable] = field(default=None, metadata={"help": "Condition to disable weight decay."}) + scale_lr_cond: Optional[Callable] = field(default=None, metadata={"help": "Condition to scale learning rate."}) + lr_mult: float = field(default=1.0, metadata={"help": "Learning rate multiplier."}) + megatron_dataset_flag: bool = field( + default=False, + metadata={"help": "Whether the format of dataset follows Megatron-LM Indexed/Cached/MemoryMapped format."}, + ) + seq_length: int = field( + default=None, + metadata={"help": "Maximum sequence length to process."}, + ) + encoder_seq_length: int = field( + default=None, + metadata={"help": "Maximum sequence length to process for the encoder."}, + ) + decoder_seq_length: int = field( + default=None, + metadata={"help": "Maximum sequence length to process for the decoder."}, + ) + tensorboard_dir: str = field( + default=None, + metadata={"help": "Path to save tensorboard logs."}, + ) + set_all_logging_options: bool = field( + default=False, + metadata={"help": "Whether to set all logging options."}, + ) + eval_iters: int = field( + default=100, + metadata={"help": "Number of iterations to run for evaluation validation/test for."}, + ) + eval_interval: int = field( + default=1000, + metadata={"help": "Interval between running evaluation on validation set."}, + ) + return_logits: bool = field( + default=False, + metadata={"help": "Whether to return logits from the model."}, + ) + + # custom train step args + custom_train_step_class: Optional[Any] = field( + default=None, + metadata={"help": "Custom train step class."}, + ) + custom_train_step_kwargs: Optional[dict[str, Any]] = field( + default=None, + metadata={"help": "Custom train step kwargs."}, + ) + + # custom model args + custom_model_provider_function: Optional[Callable] = field( + default=None, + metadata={"help": "Custom model provider function."}, + ) + custom_prepare_model_function: Optional[Callable] = field( + default=None, + metadata={"help": "Custom prepare model function."}, + ) + custom_megatron_datasets_provider_function: Optional[Callable] = field( + default=None, + metadata={"help": "Custom megatron train_valid_test datasets provider function."}, + ) + custom_get_batch_function: Optional[Callable] = field( + default=None, + metadata={"help": "Custom get batch function."}, + ) + custom_loss_function: Optional[Callable] = field( + default=None, + metadata={"help": "Custom loss function."}, + ) + + # remaining args such as enabling Alibi/ROPE positional embeddings, + # wandb logging, Multi-Query Attention, etc. + other_megatron_args: Optional[dict[str, Any]] = field( + default=None, + metadata={"help": "Other Megatron-LM arguments. Please refer Megatron-LM"}, + ) + + def __post_init__(self): + prefix = "MEGATRON_LM_" + if self.tp_degree is None: + self.tp_degree = int(os.environ.get(prefix + "TP_DEGREE", 1)) + if self.pp_degree is None: + self.pp_degree = int(os.environ.get(prefix + "PP_DEGREE", 1)) + if self.num_micro_batches is None: + self.num_micro_batches = int(os.environ.get(prefix + "NUM_MICRO_BATCHES", 1)) + if self.gradient_clipping is None: + self.gradient_clipping = float(os.environ.get(prefix + "GRADIENT_CLIPPING", 1.0)) + if self.recompute_activations is None: + self.recompute_activations = str_to_bool(os.environ.get(prefix + "RECOMPUTE_ACTIVATIONS", "False")) == 1 + if self.use_distributed_optimizer is None: + self.use_distributed_optimizer = ( + str_to_bool(os.environ.get(prefix + "USE_DISTRIBUTED_OPTIMIZER", "False")) == 1 + ) + if self.sequence_parallelism is None: + self.sequence_parallelism = str_to_bool(os.environ.get(prefix + "SEQUENCE_PARALLELISM", "False")) == 1 + + if self.pp_degree > 1 or self.use_distributed_optimizer: + self.DDP_impl = "local" + else: + self.DDP_impl = "torch" + + if self.consumed_samples is not None: + if len(self.consumed_samples) == 1: + self.consumed_samples.extend([0, 0]) + elif len(self.consumed_samples) == 2: + self.consumed_samples.append(0) + + self.megatron_lm_default_args = { + "tensor_model_parallel_size": self.tp_degree, + "pipeline_model_parallel_size": self.pp_degree, + "pipeline_model_parallel_split_rank": self.pipeline_model_parallel_split_rank, + "num_layers_per_virtual_pipeline_stage": self.num_layers_per_virtual_pipeline_stage, + "DDP_impl": self.DDP_impl, + "use_distributed_optimizer": self.use_distributed_optimizer, + "sequence_parallel": self.sequence_parallelism, + "clip_grad": self.gradient_clipping, + "num_micro_batches": self.num_micro_batches, + "consumed_samples": self.consumed_samples, + "no_wd_decay_cond": self.no_wd_decay_cond, + "scale_lr_cond": self.scale_lr_cond, + "lr_mult": self.lr_mult, + "megatron_dataset_flag": self.megatron_dataset_flag, + "eval_iters": self.eval_iters, + "eval_interval": self.eval_interval, + } + if self.recompute_activations: + self.megatron_lm_default_args["recompute_granularity"] = "selective" + if self.tensorboard_dir is not None: + self.megatron_lm_default_args["tensorboard_dir"] = self.tensorboard_dir + if self.set_all_logging_options: + self.set_tensorboard_logging_options() + if self.other_megatron_args is not None: + self.megatron_lm_default_args.update(self.other_megatron_args) + + def set_network_size_args(self, model, batch_data=None): + model_config_type = model.config.model_type.lower() + for model_type in MODEL_CONFIGS_TO_MEGATRON_PARSERS.keys(): + if model_type in model_config_type: + MODEL_CONFIGS_TO_MEGATRON_PARSERS[model_type](self, model, batch_data) + return + raise ValueError( + f"Accelerate Megatron-LM integration not supports {model_config_type} model. " + "You can add your own model config parser." + ) + + def set_mixed_precision(self, mixed_precision): + if mixed_precision == "fp16": + self.megatron_lm_default_args["fp16"] = True + elif mixed_precision == "bf16": + self.megatron_lm_default_args["bf16"] = True + self.DDP_impl = "local" + self.megatron_lm_default_args["DDP_impl"] = self.DDP_impl + + def set_training_args(self, micro_batch_size, dp_degree): + self.data_parallel_size = dp_degree + self.micro_batch_size = micro_batch_size + self.global_batch_size = dp_degree * micro_batch_size * self.num_micro_batches + self.megatron_lm_default_args["data_parallel_size"] = self.data_parallel_size + self.megatron_lm_default_args["micro_batch_size"] = self.micro_batch_size + self.megatron_lm_default_args["global_batch_size"] = self.global_batch_size + + def set_optimizer_type(self, optimizer): + optimizer_name = optimizer.__class__.__name__.lower() + if "adam" in optimizer_name: + self.megatron_lm_default_args["optimizer"] = "adam" + self.megatron_lm_default_args["adam_beta1"] = optimizer.defaults["betas"][0] + self.megatron_lm_default_args["adam_beta2"] = optimizer.defaults["betas"][1] + self.megatron_lm_default_args["adam_eps"] = optimizer.defaults["eps"] + elif "sgd" in optimizer_name: + self.megatron_lm_default_args["optimizer"] = "sgd" + self.megatron_lm_default_args["sgd_momentum"] = optimizer.defaults["momentum"] + else: + raise ValueError(f"Optimizer {optimizer_name} is not supported by Megatron-LM") + + self.megatron_lm_default_args["lr"] = optimizer.defaults["lr"] + self.megatron_lm_default_args["weight_decay"] = optimizer.defaults["weight_decay"] + + def set_scheduler_args(self, scheduler): + if self.train_iters is None: + self.train_iters = scheduler.total_num_steps // self.megatron_lm_default_args["data_parallel_size"] + if self.train_samples is not None: + self.train_samples = None + warnings.warn( + "Ignoring `train_samples` as `train_iters` based on scheduler is being used for training." + ) + if self.lr_warmup_iters is None: + self.lr_warmup_iters = scheduler.warmup_num_steps // self.megatron_lm_default_args["data_parallel_size"] + if self.lr_warmup_samples is not None: + warnings.warn( + "Ignoring `lr_warmup_samples` as `lr_warmup_iters` based on scheduler is being used for training." + ) + self.lr_warmup_samples = 0 + + self.megatron_lm_default_args["train_iters"] = self.train_iters + self.megatron_lm_default_args["lr_warmup_iters"] = self.lr_warmup_iters + self.megatron_lm_default_args["train_samples"] = self.train_samples + self.megatron_lm_default_args["lr_warmup_samples"] = self.lr_warmup_samples + self.megatron_lm_default_args["lr_decay_iters"] = self.lr_decay_iters + self.megatron_lm_default_args["lr_decay_samples"] = self.lr_decay_samples + self.megatron_lm_default_args["lr_warmup_fraction"] = self.lr_warmup_fraction + self.megatron_lm_default_args["lr_decay_style"] = self.lr_decay_style + self.megatron_lm_default_args["weight_decay_incr_style"] = self.weight_decay_incr_style + self.megatron_lm_default_args["start_weight_decay"] = self.start_weight_decay + self.megatron_lm_default_args["end_weight_decay"] = self.end_weight_decay + self.megatron_lm_default_args["min_lr"] = self.min_lr + + def set_tensorboard_logging_options(self): + from megatron.training.arguments import _add_logging_args + + parser = argparse.ArgumentParser() + parser = _add_logging_args(parser) + logging_args = parser.parse_known_args() + self.dataset_args = vars(logging_args[0]) + for key, value in self.dataset_args.items(): + if key.startswith("log_"): + self.megatron_lm_default_args[key] = True + elif key.startswith("no_log_"): + self.megatron_lm_default_args[key.replace("no_", "")] = True + + +MODEL_CONFIGS_TO_MEGATRON_PARSERS = {} + + +def add_model_config_to_megatron_parser(model_type: str): + def add_model_config_parser_helper(func): + @functools.wraps(func) + def wrapper(*args, **kwargs): + return func(*args, **kwargs) + + MODEL_CONFIGS_TO_MEGATRON_PARSERS[model_type] = func + return wrapper + + return add_model_config_parser_helper + + +@add_model_config_to_megatron_parser("megatron-bert") +def parse_bert_config(megatron_lm_plugin, model, batch_data): + model_type_name = "bert" + num_layers = model.config.num_hidden_layers + hidden_size = model.config.hidden_size + num_attention_heads = model.config.num_attention_heads + max_position_embeddings = model.config.max_position_embeddings + num_labels = model.config.num_labels + orig_vocab_size = model.config.vocab_size + pretraining_flag = False + if "maskedlm" in model.__class__.__name__.lower(): + pretraining_flag = True + if megatron_lm_plugin.seq_length is not None: + if megatron_lm_plugin.encoder_seq_length is not None: + warnings.warn("Both `seq_length` and `encoder_seq_length` are set. Using `encoder_seq_length`.") + megatron_lm_plugin.seq_length = megatron_lm_plugin.encoder_seq_length + elif megatron_lm_plugin.encoder_seq_length is not None: + megatron_lm_plugin.seq_length = megatron_lm_plugin.encoder_seq_length + elif batch_data is not None: + megatron_lm_plugin.seq_length = batch_data["input_ids"].shape[1] + else: + megatron_lm_plugin.seq_length = max_position_embeddings + megatron_lm_plugin.megatron_lm_default_args["seq_length"] = megatron_lm_plugin.seq_length + megatron_lm_plugin.megatron_lm_default_args["model_type_name"] = model_type_name + megatron_lm_plugin.megatron_lm_default_args["num_layers"] = num_layers + megatron_lm_plugin.megatron_lm_default_args["hidden_size"] = hidden_size + megatron_lm_plugin.megatron_lm_default_args["num_attention_heads"] = num_attention_heads + megatron_lm_plugin.megatron_lm_default_args["max_position_embeddings"] = max_position_embeddings + megatron_lm_plugin.megatron_lm_default_args["pretraining_flag"] = pretraining_flag + megatron_lm_plugin.megatron_lm_default_args["orig_vocab_size"] = orig_vocab_size + megatron_lm_plugin.megatron_lm_default_args["model_return_dict"] = model.config.return_dict + megatron_lm_plugin.megatron_lm_default_args["num_labels"] = num_labels + + +@add_model_config_to_megatron_parser("gpt2") +def parse_gpt2_config(megatron_lm_plugin, model, batch_data): + model_type_name = "gpt" + num_layers = model.config.n_layer + hidden_size = model.config.n_embd + num_attention_heads = model.config.n_head + max_position_embeddings = model.config.n_positions + orig_vocab_size = model.config.vocab_size + pretraining_flag = True + if megatron_lm_plugin.seq_length is not None: + if megatron_lm_plugin.decoder_seq_length is not None: + warnings.warn("Both `seq_length` and `decoder_seq_length` are set. Using `decoder_seq_length`.") + megatron_lm_plugin.seq_length = megatron_lm_plugin.decoder_seq_length + elif megatron_lm_plugin.decoder_seq_length is not None: + megatron_lm_plugin.seq_length = megatron_lm_plugin.decoder_seq_length + elif batch_data is not None: + megatron_lm_plugin.seq_length = batch_data["input_ids"].shape[1] + else: + megatron_lm_plugin.seq_length = max_position_embeddings + megatron_lm_plugin.megatron_lm_default_args["seq_length"] = megatron_lm_plugin.seq_length + megatron_lm_plugin.megatron_lm_default_args["return_logits"] = megatron_lm_plugin.return_logits + megatron_lm_plugin.megatron_lm_default_args["tokenizer_type"] = "GPT2BPETokenizer" + megatron_lm_plugin.megatron_lm_default_args["model_type_name"] = model_type_name + megatron_lm_plugin.megatron_lm_default_args["num_layers"] = num_layers + megatron_lm_plugin.megatron_lm_default_args["hidden_size"] = hidden_size + megatron_lm_plugin.megatron_lm_default_args["num_attention_heads"] = num_attention_heads + megatron_lm_plugin.megatron_lm_default_args["max_position_embeddings"] = max_position_embeddings + megatron_lm_plugin.megatron_lm_default_args["pretraining_flag"] = pretraining_flag + megatron_lm_plugin.megatron_lm_default_args["orig_vocab_size"] = orig_vocab_size + megatron_lm_plugin.megatron_lm_default_args["model_return_dict"] = model.config.return_dict + + +@add_model_config_to_megatron_parser("t5") +def parse_t5_config(megatron_lm_plugin, model, batch_data): + model_type_name = "t5" + num_layers = model.config.num_layers + hidden_size = model.config.d_model + num_attention_heads = model.config.num_heads + max_position_embeddings = model.config.n_positions if hasattr(model.config, "n_positions") else 1024 + orig_vocab_size = model.config.vocab_size + pretraining_flag = True + if megatron_lm_plugin.encoder_seq_length is None: + if batch_data is not None: + megatron_lm_plugin.encoder_seq_length = batch_data["input_ids"].shape[1] + else: + megatron_lm_plugin.encoder_seq_length = max_position_embeddings + if megatron_lm_plugin.decoder_seq_length is None: + if batch_data is not None: + megatron_lm_plugin.decoder_seq_length = batch_data["labels"].shape[1] + else: + megatron_lm_plugin.decoder_seq_length = max_position_embeddings + megatron_lm_plugin.megatron_lm_default_args["encoder_seq_length"] = megatron_lm_plugin.encoder_seq_length + megatron_lm_plugin.megatron_lm_default_args["decoder_seq_length"] = megatron_lm_plugin.decoder_seq_length + megatron_lm_plugin.megatron_lm_default_args["model_type_name"] = model_type_name + megatron_lm_plugin.megatron_lm_default_args["num_layers"] = num_layers + megatron_lm_plugin.megatron_lm_default_args["hidden_size"] = hidden_size + megatron_lm_plugin.megatron_lm_default_args["num_attention_heads"] = num_attention_heads + megatron_lm_plugin.megatron_lm_default_args["max_position_embeddings"] = max_position_embeddings + megatron_lm_plugin.megatron_lm_default_args["pretraining_flag"] = pretraining_flag + megatron_lm_plugin.megatron_lm_default_args["orig_vocab_size"] = orig_vocab_size + megatron_lm_plugin.megatron_lm_default_args["model_return_dict"] = model.config.return_dict + + +@add_model_config_to_megatron_parser("llama") +def parse_llama_config(megatron_lm_plugin, model, batch_data): + model_type_name = "gpt" + num_layers = model.config.num_hidden_layers + pretraining_flag = True + hidden_size = model.config.hidden_size + num_attention_heads = model.config.num_attention_heads + orig_vocab_size = model.config.vocab_size + + max_position_embeddings = model.config.max_position_embeddings + seq_length = getattr(model.config, "max_sequence_length", None) + if megatron_lm_plugin.seq_length is None: + if seq_length is not None: + megatron_lm_plugin.seq_length = seq_length + elif megatron_lm_plugin.decoder_seq_length is not None: + megatron_lm_plugin.seq_length = megatron_lm_plugin.decoder_seq_length + elif batch_data is not None: + megatron_lm_plugin.seq_length = batch_data["input_ids"].shape[1] + else: + megatron_lm_plugin.seq_length = max_position_embeddings + + megatron_lm_plugin.megatron_lm_default_args["return_logits"] = megatron_lm_plugin.return_logits + megatron_lm_plugin.megatron_lm_default_args["tokenizer_type"] = "Llama2Tokenizer" + megatron_lm_plugin.megatron_lm_default_args["model_type_name"] = model_type_name + megatron_lm_plugin.megatron_lm_default_args["num_layers"] = num_layers + megatron_lm_plugin.megatron_lm_default_args["pretraining_flag"] = pretraining_flag + megatron_lm_plugin.megatron_lm_default_args["hidden_size"] = hidden_size + megatron_lm_plugin.megatron_lm_default_args["num_attention_heads"] = num_attention_heads + megatron_lm_plugin.megatron_lm_default_args["orig_vocab_size"] = orig_vocab_size + megatron_lm_plugin.megatron_lm_default_args["max_position_embeddings"] = max_position_embeddings + megatron_lm_plugin.megatron_lm_default_args["seq_length"] = megatron_lm_plugin.seq_length + megatron_lm_plugin.megatron_lm_default_args["model_return_dict"] = model.config.return_dict + + +@dataclass +class BnbQuantizationConfig: + """ + A plugin to enable BitsAndBytes 4bit and 8bit quantization + + Args: + load_in_8bit (`bool`, defaults to `False`): + Enable 8bit quantization. + llm_int8_threshold (`float`, defaults to `6.0`): + Value of the outliner threshold. Only relevant when `load_in_8bit=True`. + load_in_4bit (`bool`, defaults to `False`): + Enable 4bit quantization. + bnb_4bit_quant_type (`str`, defaults to `fp4`): + Set the quantization data type in the `bnb.nn.Linear4Bit` layers. Options are {'fp4','np4'}. + bnb_4bit_use_double_quant (`bool`, defaults to `False`): + Enable nested quantization where the quantization constants from the first quantization are quantized + again. + bnb_4bit_compute_dtype (`bool`, defaults to `fp16`): + This sets the computational type which might be different than the input time. For example, inputs might be + fp32, but computation can be set to bf16 for speedups. Options are {'fp32','fp16','bf16'}. + torch_dtype (`torch.dtype`, defaults to `None`): + This sets the dtype of the remaining non quantized layers. `bitsandbytes` library suggests to set the value + to `torch.float16` for 8 bit model and use the same dtype as the compute dtype for 4 bit model. + skip_modules (`List[str]`, defaults to `None`): + An explicit list of the modules that we don't quantize. The dtype of these modules will be `torch_dtype`. + keep_in_fp32_modules (`List`, defaults to `None`): + An explicit list of the modules that we don't quantize. We keep them in `torch.float32`. + """ + + load_in_8bit: bool = field(default=False, metadata={"help": "enable 8bit quantization."}) + + llm_int8_threshold: float = field( + default=6.0, + metadata={"help": "value of the outliner threshold. only relevant when load_in_8bit=True"}, + ) + + load_in_4bit: bool = field(default=False, metadata={"help": "enable 4bit quantization."}) + + bnb_4bit_quant_type: str = field( + default="fp4", + metadata={ + "help": "set the quantization data type in the `bnb.nn.Linear4Bit` layers. Options are {'fp4','nf4'}." + }, + ) + + bnb_4bit_use_double_quant: bool = field( + default=False, + metadata={ + "help": "enable nested quantization where the quantization constants from the first quantization are quantized again." + }, + ) + + bnb_4bit_compute_dtype: str = field( + default="fp16", + metadata={ + "help": "This sets the computational type which might be different than the input time. For example, inputs might be " + "fp32, but computation can be set to bf16 for speedups. Options are {'fp32','fp16','bf16'}." + }, + ) + + torch_dtype: torch.dtype = field( + default=None, + metadata={ + "help": "this sets the dtype of the remaining non quantized layers. `bitsandbytes` library suggests to set the value" + "to `torch.float16` for 8 bit model and use the same dtype as the compute dtype for 4 bit model " + }, + ) + + skip_modules: list[str] = field( + default=None, + metadata={ + "help": "an explicit list of the modules that we don't quantize. The dtype of these modules will be `torch_dtype`." + }, + ) + + keep_in_fp32_modules: list[str] = field( + default=None, + metadata={"help": "an explicit list of the modules that we don't quantize. We keep them in `torch.float32`."}, + ) + + def __post_init__(self): + """ + Safety checker that arguments are correct - also replaces some NoneType arguments with their default values. + """ + if not isinstance(self.load_in_8bit, bool): + raise ValueError("load_in_8bit must be a boolean") + + if not isinstance(self.load_in_4bit, bool): + raise ValueError("load_in_4bit must be a boolean") + + if self.load_in_4bit and self.load_in_8bit: + raise ValueError("load_in_4bit and load_in_8bit can't be both True") + + if not self.load_in_4bit and not self.load_in_8bit: + raise ValueError("load_in_4bit and load_in_8bit can't be both False") + + if not isinstance(self.llm_int8_threshold, (int, float)): + raise ValueError("llm_int8_threshold must be a float or an int") + + if not isinstance(self.bnb_4bit_quant_type, str): + raise ValueError("bnb_4bit_quant_type must be a string") + elif self.bnb_4bit_quant_type not in ["fp4", "nf4"]: + raise ValueError(f"bnb_4bit_quant_type must be in ['fp4','nf4'] but found {self.bnb_4bit_quant_type}") + + if not isinstance(self.bnb_4bit_use_double_quant, bool): + raise ValueError("bnb_4bit_use_double_quant must be a boolean") + + if isinstance(self.bnb_4bit_compute_dtype, str): + if self.bnb_4bit_compute_dtype == "fp32": + self.bnb_4bit_compute_dtype = torch.float32 + elif self.bnb_4bit_compute_dtype == "fp16": + self.bnb_4bit_compute_dtype = torch.float16 + elif self.bnb_4bit_compute_dtype == "bf16": + self.bnb_4bit_compute_dtype = torch.bfloat16 + else: + raise ValueError( + f"bnb_4bit_compute_dtype must be in ['fp32','fp16','bf16'] but found {self.bnb_4bit_compute_dtype}" + ) + elif not isinstance(self.bnb_4bit_compute_dtype, torch.dtype): + raise ValueError("bnb_4bit_compute_dtype must be a string or a torch.dtype") + + if self.skip_modules is not None and not isinstance(self.skip_modules, list): + raise ValueError("skip_modules must be a list of strings") + + if self.keep_in_fp32_modules is not None and not isinstance(self.keep_in_fp32_modules, list): + raise ValueError("keep_in_fp_32_modules must be a list of strings") + + if self.load_in_4bit: + self.target_dtype = CustomDtype.INT4 + + if self.load_in_8bit: + self.target_dtype = torch.int8 + + if self.load_in_4bit and self.llm_int8_threshold != 6.0: + warnings.warn("llm_int8_threshold can only be used for model loaded in 8bit") + + if isinstance(self.torch_dtype, str): + if self.torch_dtype == "fp32": + self.torch_dtype = torch.float32 + elif self.torch_dtype == "fp16": + self.torch_dtype = torch.float16 + elif self.torch_dtype == "bf16": + self.torch_dtype = torch.bfloat16 + else: + raise ValueError(f"torch_dtype must be in ['fp32','fp16','bf16'] but found {self.torch_dtype}") + if self.load_in_8bit and self.torch_dtype is None: + self.torch_dtype = torch.float16 + + if self.load_in_4bit and self.torch_dtype is None: + self.torch_dtype = self.bnb_4bit_compute_dtype + + if not isinstance(self.torch_dtype, torch.dtype): + raise ValueError("torch_dtype must be a torch.dtype") + + +def get_module_class_from_name(module, name): + """ + Gets a class from a module by its name. + + Args: + module (`torch.nn.Module`): The module to get the class from. + name (`str`): The name of the class. + """ + modules_children = list(module.children()) + if module.__class__.__name__ == name: + return module.__class__ + elif len(modules_children) == 0: + return + else: + for child_module in modules_children: + module_class = get_module_class_from_name(child_module, name) + if module_class is not None: + return module_class diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/deepspeed.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/deepspeed.py new file mode 100644 index 0000000000000000000000000000000000000000..22db891c63d9bd48691acd87a15a206c270017a9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/deepspeed.py @@ -0,0 +1,385 @@ +# Copyright 2021 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import base64 +import json +import os +from copy import deepcopy + +from torch import optim + +from ..optimizer import AcceleratedOptimizer +from ..scheduler import AcceleratedScheduler +from .dataclasses import DistributedType +from .imports import is_bnb_available +from .versions import compare_versions + + +def map_pytorch_optim_to_deepspeed(optimizer): + """ + Args: + optimizer: torch.optim.Optimizer + + Returns the DeepSeedCPUOptimizer (deepspeed.ops) version of the optimizer. + """ + + defaults = {k: v for k, v in optimizer.defaults.items() if k in ["lr", "weight_decay"]} + + # Select the DeepSpeedCPUOptimizer based on the original optimizer class. + # DeepSpeedCPUAdam is the default + from deepspeed.ops.adam import DeepSpeedCPUAdam + + optimizer_class = DeepSpeedCPUAdam + + # For DeepSpeedCPUAdam (adamw_mode) + if compare_versions("deepspeed", ">=", "0.3.1"): + defaults["adamw_mode"] = False + is_adaw = isinstance(optimizer, optim.AdamW) + + if is_bnb_available() and not is_adaw: + import bitsandbytes.optim as bnb_opt + + if isinstance(optimizer, (bnb_opt.AdamW, bnb_opt.AdamW32bit)): + try: + is_adaw = optimizer.optim_bits == 32 + except AttributeError: + is_adaw = optimizer.args.optim_bits == 32 + else: + is_adaw = False + + if is_adaw: + defaults["adamw_mode"] = True + + # For DeepSpeedCPUAdagrad + if compare_versions("deepspeed", ">=", "0.5.5"): + # Check if the optimizer is PyTorch's Adagrad. + is_ada = isinstance(optimizer, optim.Adagrad) + # If not, and bitsandbytes is available, + # # check if the optimizer is the 32-bit bitsandbytes Adagrad. + if is_bnb_available() and not is_ada: + import bitsandbytes.optim as bnb_opt + + if isinstance(optimizer, (bnb_opt.Adagrad, bnb_opt.Adagrad32bit)): + try: + is_ada = optimizer.optim_bits == 32 + except AttributeError: + is_ada = optimizer.args.optim_bits == 32 + if is_ada: + from deepspeed.ops.adagrad import DeepSpeedCPUAdagrad + + optimizer_class = DeepSpeedCPUAdagrad + + # For DeepSpeedCPULion + if is_bnb_available(min_version="0.38.0") and compare_versions("deepspeed", ">=", "0.11.0"): + from bitsandbytes.optim import Lion, Lion32bit + + if isinstance(optimizer, (Lion, Lion32bit)): + try: + is_bnb_32bits = optimizer.optim_bits == 32 + except AttributeError: + is_bnb_32bits = optimizer.args.optim_bits == 32 + if is_bnb_32bits: + from deepspeed.ops.lion import DeepSpeedCPULion + + optimizer_class = DeepSpeedCPULion + + return optimizer_class(optimizer.param_groups, **defaults) + + +def get_active_deepspeed_plugin(state): + """ + Returns the currently active DeepSpeedPlugin. + + Raises: + ValueError: If DeepSpeed was not enabled and this function is called. + """ + if state.distributed_type != DistributedType.DEEPSPEED: + raise ValueError( + "Couldn't retrieve the active `DeepSpeedPlugin` as none were enabled. " + "Please make sure that either `Accelerator` is configured for `deepspeed` " + "or make sure that the desired `DeepSpeedPlugin` has been enabled (`AcceleratorState().select_deepspeed_plugin(name)`) " + "before calling this function." + ) + if not isinstance(state.deepspeed_plugins, dict): + return state.deepspeed_plugins + return next(plugin for plugin in state.deepspeed_plugins.values() if plugin.selected) + + +class HfDeepSpeedConfig: + """ + This object contains a DeepSpeed configuration dictionary and can be quickly queried for things like zero stage. + + A `weakref` of this object is stored in the module's globals to be able to access the config from areas where + things like the Trainer object is not available (e.g. `from_pretrained` and `_get_resized_embeddings`). Therefore + it's important that this object remains alive while the program is still running. + + [`Trainer`] uses the `HfTrainerDeepSpeedConfig` subclass instead. That subclass has logic to sync the configuration + with values of [`TrainingArguments`] by replacing special placeholder values: `"auto"`. Without this special logic + the DeepSpeed configuration is not modified in any way. + + Args: + config_file_or_dict (`Union[str, Dict]`): path to DeepSpeed config file or dict. + + """ + + def __init__(self, config_file_or_dict): + if isinstance(config_file_or_dict, dict): + # Don't modify user's data should they want to reuse it (e.g. in tests), because once we + # modified it, it will not be accepted here again, since `auto` values would have been overridden + config = deepcopy(config_file_or_dict) + elif os.path.exists(config_file_or_dict): + with open(config_file_or_dict, encoding="utf-8") as f: + config = json.load(f) + else: + try: + try: + # First try parsing as JSON directly + config = json.loads(config_file_or_dict) + except json.JSONDecodeError: + # If that fails, try base64 decoding + config_decoded = base64.urlsafe_b64decode(config_file_or_dict).decode("utf-8") + config = json.loads(config_decoded) + except (UnicodeDecodeError, AttributeError, ValueError): + raise ValueError( + f"Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}" + ) + + self.config = config + + self.set_stage_and_offload() + + def set_stage_and_offload(self): + # zero stage - this is done as early as possible, before model is created, to allow + # ``is_deepspeed_zero3_enabled`` query and getting to the early deepspeed config object + # during ``zero.Init()`` which needs to know the dtype, and some other hparams. + self._stage = self.get_value("zero_optimization.stage", -1) + + # offload + self._offload = False + if self.is_zero2() or self.is_zero3(): + offload_devices_valid = set(["cpu", "nvme"]) + offload_devices = set( + [ + self.get_value("zero_optimization.offload_optimizer.device"), + self.get_value("zero_optimization.offload_param.device"), + ] + ) + if len(offload_devices & offload_devices_valid) > 0: + self._offload = True + + def find_config_node(self, ds_key_long): + config = self.config + + # find the config node of interest if it exists + nodes = ds_key_long.split(".") + ds_key = nodes.pop() + for node in nodes: + config = config.get(node) + if config is None: + return None, ds_key + + return config, ds_key + + def get_value(self, ds_key_long, default=None): + """ + Returns the set value or `default` if no value is set + """ + config, ds_key = self.find_config_node(ds_key_long) + if config is None: + return default + return config.get(ds_key, default) + + def del_config_sub_tree(self, ds_key_long, must_exist=False): + """ + Deletes a sub-section of the config file if it's found. + + Unless `must_exist` is `True` the section doesn't have to exist. + """ + config = self.config + + # find the config node of interest if it exists + nodes = ds_key_long.split(".") + for node in nodes: + parent_config = config + config = config.get(node) + if config is None: + if must_exist: + raise ValueError(f"Can't find {ds_key_long} entry in the config: {self.config}") + else: + return + + # if found remove it + if parent_config is not None: + parent_config.pop(node) + + def is_true(self, ds_key_long): + """ + Returns `True`/``False` only if the value is set, always `False` otherwise. So use this method to ask the very + specific question of whether the value is set to `True` (and it's not set to `False`` or isn't set). + + """ + value = self.get_value(ds_key_long) + return False if value is None else bool(value) + + def is_false(self, ds_key_long): + """ + Returns `True`/``False` only if the value is set, always `False` otherwise. So use this method to ask the very + specific question of whether the value is set to `False` (and it's not set to `True`` or isn't set). + """ + value = self.get_value(ds_key_long) + return False if value is None else not bool(value) + + def is_zero2(self): + return self._stage == 2 + + def is_zero3(self): + return self._stage == 3 + + def is_offload(self): + return self._offload + + +class DeepSpeedEngineWrapper: + """ + Internal wrapper for deepspeed.runtime.engine.DeepSpeedEngine. This is used to follow conventional training loop. + + Args: + engine (deepspeed.runtime.engine.DeepSpeedEngine): deepspeed engine to wrap + """ + + def __init__(self, engine): + self.engine = engine + + def backward(self, loss, sync_gradients=True, **kwargs): + # Set gradient accumulation boundary based on Accelerate's sync_gradients state + # This tells DeepSpeed whether this is the final micro-batch before gradient sync + self.engine.set_gradient_accumulation_boundary(is_boundary=sync_gradients) + + # runs backpropagation and handles mixed precision + self.engine.backward(loss, **kwargs) + + # Only perform step and related operations at gradient accumulation boundaries + if sync_gradients: + # Deepspeed's `engine.step` performs the following operations: + # - gradient accumulation check + # - gradient clipping + # - optimizer step + # - zero grad + # - checking overflow + # - lr_scheduler step (only if engine.lr_scheduler is not None) + self.engine.step() + # and this plugin overrides the above calls with no-ops when Accelerate runs under + # Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple + # training loop that works transparently under many training regimes. + + def get_global_grad_norm(self): + """Get the global gradient norm from DeepSpeed engine.""" + grad_norm = self.engine.get_global_grad_norm() + # Convert to scalar if it's a tensor + if hasattr(grad_norm, "item"): + return grad_norm.item() + return grad_norm + + +class DeepSpeedOptimizerWrapper(AcceleratedOptimizer): + """ + Internal wrapper around a deepspeed optimizer. + + Args: + optimizer (`torch.optim.optimizer.Optimizer`): + The optimizer to wrap. + """ + + def __init__(self, optimizer): + super().__init__(optimizer, device_placement=False, scaler=None) + self.__has_overflow__ = hasattr(self.optimizer, "overflow") + + def zero_grad(self, set_to_none=None): + pass # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed + + def step(self): + pass # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed + + @property + def step_was_skipped(self): + """Whether or not the optimizer step was done, or skipped because of gradient overflow.""" + if self.__has_overflow__: + return self.optimizer.overflow + return False + + +class DeepSpeedSchedulerWrapper(AcceleratedScheduler): + """ + Internal wrapper around a deepspeed scheduler. + + Args: + scheduler (`torch.optim.lr_scheduler.LambdaLR`): + The scheduler to wrap. + optimizers (one or a list of `torch.optim.Optimizer`): + """ + + def __init__(self, scheduler, optimizers): + super().__init__(scheduler, optimizers) + + def step(self): + pass # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed + + +class DummyOptim: + """ + Dummy optimizer presents model parameters or param groups, this is primarily used to follow conventional training + loop when optimizer config is specified in the deepspeed config file. + + Args: + lr (float): + Learning rate. + params (iterable): iterable of parameters to optimize or dicts defining + parameter groups + weight_decay (float): + Weight decay. + **kwargs (additional keyword arguments, *optional*): + Other arguments. + """ + + def __init__(self, params, lr=0.001, weight_decay=0, **kwargs): + self.params = params + self.lr = lr + self.weight_decay = weight_decay + self.kwargs = kwargs + + +class DummyScheduler: + """ + Dummy scheduler presents model parameters or param groups, this is primarily used to follow conventional training + loop when scheduler config is specified in the deepspeed config file. + + Args: + optimizer (`torch.optim.optimizer.Optimizer`): + The optimizer to wrap. + total_num_steps (int, *optional*): + Total number of steps. + warmup_num_steps (int, *optional*): + Number of steps for warmup. + lr_scheduler_callable (callable, *optional*): + A callable function that creates an LR Scheduler. It accepts only one argument `optimizer`. + **kwargs (additional keyword arguments, *optional*): + Other arguments. + """ + + def __init__(self, optimizer, total_num_steps=None, warmup_num_steps=0, lr_scheduler_callable=None, **kwargs): + self.optimizer = optimizer + self.total_num_steps = total_num_steps + self.warmup_num_steps = warmup_num_steps + self.lr_scheduler_callable = lr_scheduler_callable + self.kwargs = kwargs diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/environment.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/environment.py new file mode 100644 index 0000000000000000000000000000000000000000..faa3be2d336ad8674fdbdfd3d5504645b25f2b79 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/environment.py @@ -0,0 +1,471 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +import math +import os +import platform +import subprocess +import sys +from contextlib import contextmanager +from dataclasses import dataclass, field +from functools import lru_cache, wraps +from shutil import which +from typing import Optional, Union + +import torch +from packaging.version import parse + + +logger = logging.getLogger(__name__) + + +def convert_dict_to_env_variables(current_env: dict): + """ + Verifies that all keys and values in `current_env` do not contain illegal keys or values, and returns a list of + strings as the result. + + Example: + ```python + >>> from accelerate.utils.environment import verify_env + + >>> env = {"ACCELERATE_DEBUG_MODE": "1", "BAD_ENV_NAME": ">> valid_env_items = verify_env(env) + >>> print(valid_env_items) + ["ACCELERATE_DEBUG_MODE=1\n", "OTHER_ENV=2\n"] + ``` + """ + forbidden_chars = [";", "\n", "<", ">", " "] + valid_env_items = [] + for key, value in current_env.items(): + if all(char not in (key + value) for char in forbidden_chars) and len(key) >= 1 and len(value) >= 1: + valid_env_items.append(f"{key}={value}\n") + else: + logger.warning(f"WARNING: Skipping {key}={value} as it contains forbidden characters or missing values.") + return valid_env_items + + +def str_to_bool(value, to_bool: bool = False) -> Union[int, bool]: + """ + Converts a string representation of truth to `True` (1) or `False` (0). + + True values are `y`, `yes`, `t`, `true`, `on`, and `1`; False value are `n`, `no`, `f`, `false`, `off`, and `0`; + """ + value = value.lower() + if value in ("y", "yes", "t", "true", "on", "1"): + return 1 if not to_bool else True + elif value in ("n", "no", "f", "false", "off", "0"): + return 0 if not to_bool else False + else: + raise ValueError(f"invalid truth value {value}") + + +def get_int_from_env(env_keys, default): + """Returns the first positive env value found in the `env_keys` list or the default.""" + for e in env_keys: + val = int(os.environ.get(e, -1)) + if val >= 0: + return val + return default + + +def parse_flag_from_env(key, default=False): + """Returns truthy value for `key` from the env if available else the default.""" + value = os.environ.get(key, str(default)) + return str_to_bool(value) == 1 # As its name indicates `str_to_bool` actually returns an int... + + +def parse_choice_from_env(key, default="no"): + value = os.environ.get(key, str(default)) + return value + + +def are_libraries_initialized(*library_names: str) -> list[str]: + """ + Checks if any of `library_names` are imported in the environment. Will return any names that are. + """ + return [lib_name for lib_name in library_names if lib_name in sys.modules.keys()] + + +def get_current_device_type() -> tuple[str, str]: + """ + Determines the current device type and distributed type without initializing any device. + + This is particularly important when using fork-based multiprocessing, as device initialization + before forking can cause errors. + + The device detection order follows the same priority as state.py:_prepare_backend(): + MLU -> SDAA -> MUSA -> NPU -> HPU -> CUDA -> XPU + + Returns: + tuple[str, str]: A tuple of (device_type, distributed_type) + - device_type: The device string (e.g., "cuda", "npu", "xpu") + - distributed_type: The distributed type string (e.g., "MULTI_GPU", "MULTI_NPU") + + Example: + ```python + >>> device_type, distributed_type = get_current_device_type() + >>> print(device_type) # "cuda" + >>> print(distributed_type) # "MULTI_GPU" + ``` + """ + from .imports import ( + is_hpu_available, + is_mlu_available, + is_musa_available, + is_npu_available, + is_sdaa_available, + is_xpu_available, + ) + + if is_mlu_available(): + return "mlu", "MULTI_MLU" + elif is_sdaa_available(): + return "sdaa", "MULTI_SDAA" + elif is_musa_available(): + return "musa", "MULTI_MUSA" + elif is_npu_available(): + return "npu", "MULTI_NPU" + elif is_hpu_available(): + return "hpu", "MULTI_HPU" + elif torch.cuda.is_available(): + return "cuda", "MULTI_GPU" + elif is_xpu_available(): + return "xpu", "MULTI_XPU" + else: + # Default to CUDA even if not available (for CPU-only scenarios where CUDA code paths are still used) + return "cuda", "MULTI_GPU" + + +def _nvidia_smi(): + """ + Returns the right nvidia-smi command based on the system. + """ + if platform.system() == "Windows": + # If platform is Windows and nvidia-smi can't be found in path + # try from systemd drive with default installation path + command = which("nvidia-smi") + if command is None: + command = f"{os.environ['systemdrive']}\\Program Files\\NVIDIA Corporation\\NVSMI\\nvidia-smi.exe" + else: + command = "nvidia-smi" + return command + + +def get_gpu_info(): + """ + Gets GPU count and names using `nvidia-smi` instead of torch to not initialize CUDA. + + Largely based on the `gputil` library. + """ + # Returns as list of `n` GPUs and their names + output = subprocess.check_output( + [_nvidia_smi(), "--query-gpu=count,name", "--format=csv,noheader"], universal_newlines=True + ) + output = output.strip() + gpus = output.split(os.linesep) + # Get names from output + gpu_count = len(gpus) + gpu_names = [gpu.split(",")[1].strip() for gpu in gpus] + return gpu_names, gpu_count + + +def get_driver_version(): + """ + Returns the driver version + + In the case of multiple GPUs, will return the first. + """ + output = subprocess.check_output( + [_nvidia_smi(), "--query-gpu=driver_version", "--format=csv,noheader"], universal_newlines=True + ) + output = output.strip() + return output.split(os.linesep)[0] + + +def check_cuda_p2p_ib_support(): + """ + Checks if the devices being used have issues with P2P and IB communications, namely any consumer GPU hardware after + the 3090. + + Notably uses `nvidia-smi` instead of torch to not initialize CUDA. + """ + try: + device_names, device_count = get_gpu_info() + # As new consumer GPUs get released, add them to `unsupported_devices`` + unsupported_devices = {"RTX 40"} + if device_count > 1: + if any( + unsupported_device in device_name + for device_name in device_names + for unsupported_device in unsupported_devices + ): + # Check if they have the right driver version + acceptable_driver_version = "550.40.07" + current_driver_version = get_driver_version() + if parse(current_driver_version) < parse(acceptable_driver_version): + return False + return True + except Exception: + pass + return True + + +@lru_cache +def check_cuda_fp8_capability(): + """ + Checks if the current GPU available supports FP8. + + Notably might initialize `torch.cuda` to check. + """ + + try: + # try to get the compute capability from nvidia-smi + output = subprocess.check_output( + [_nvidia_smi(), "--query-gpu=compute_capability", "--format=csv,noheader"], universal_newlines=True + ) + output = output.strip() + # we take the first GPU's compute capability + compute_capability = tuple(map(int, output.split(os.linesep)[0].split("."))) + except Exception: + compute_capability = torch.cuda.get_device_capability() + + return compute_capability >= (8, 9) + + +@dataclass +class CPUInformation: + """ + Stores information about the CPU in a distributed environment. It contains the following attributes: + - rank: The rank of the current process. + - world_size: The total number of processes in the world. + - local_rank: The rank of the current process on the local node. + - local_world_size: The total number of processes on the local node. + """ + + rank: int = field(default=0, metadata={"help": "The rank of the current process."}) + world_size: int = field(default=1, metadata={"help": "The total number of processes in the world."}) + local_rank: int = field(default=0, metadata={"help": "The rank of the current process on the local node."}) + local_world_size: int = field(default=1, metadata={"help": "The total number of processes on the local node."}) + + +def get_cpu_distributed_information() -> CPUInformation: + """ + Returns various information about the environment in relation to CPU distributed training as a `CPUInformation` + dataclass. + """ + information = {} + information["rank"] = get_int_from_env(["RANK", "PMI_RANK", "OMPI_COMM_WORLD_RANK", "MV2_COMM_WORLD_RANK"], 0) + information["world_size"] = get_int_from_env( + ["WORLD_SIZE", "PMI_SIZE", "OMPI_COMM_WORLD_SIZE", "MV2_COMM_WORLD_SIZE"], 1 + ) + information["local_rank"] = get_int_from_env( + ["LOCAL_RANK", "MPI_LOCALRANKID", "OMPI_COMM_WORLD_LOCAL_RANK", "MV2_COMM_WORLD_LOCAL_RANK"], 0 + ) + information["local_world_size"] = get_int_from_env( + ["LOCAL_WORLD_SIZE", "MPI_LOCALNRANKS", "OMPI_COMM_WORLD_LOCAL_SIZE", "MV2_COMM_WORLD_LOCAL_SIZE"], + 1, + ) + return CPUInformation(**information) + + +def override_numa_affinity(local_process_index: int, verbose: Optional[bool] = None) -> None: + """ + Overrides whatever NUMA affinity is set for the current process. This is very taxing and requires recalculating the + affinity to set, ideally you should use `utils.environment.set_numa_affinity` instead. + + Args: + local_process_index (int): + The index of the current process on the current server. + verbose (bool, *optional*): + Whether to log out the assignment of each CPU. If `ACCELERATE_DEBUG_MODE` is enabled, will default to True. + """ + if verbose is None: + verbose = parse_flag_from_env("ACCELERATE_DEBUG_MODE", False) + if torch.cuda.is_available(): + from accelerate.utils import is_pynvml_available + + if not is_pynvml_available(): + raise ImportError( + "To set CPU affinity on CUDA GPUs the `nvidia-ml-py` package must be available. (`pip install nvidia-ml-py`)" + ) + import pynvml as nvml + + # The below code is based on https://github.com/NVIDIA/DeepLearningExamples/blob/master/TensorFlow2/LanguageModeling/BERT/gpu_affinity.py + nvml.nvmlInit() + num_elements = math.ceil(os.cpu_count() / 64) + handle = nvml.nvmlDeviceGetHandleByIndex(local_process_index) + affinity_string = "" + for j in nvml.nvmlDeviceGetCpuAffinity(handle, num_elements): + # assume nvml returns list of 64 bit ints + affinity_string = f"{j:064b}{affinity_string}" + affinity_list = [int(x) for x in affinity_string] + affinity_list.reverse() # so core 0 is the 0th element + affinity_to_set = [i for i, e in enumerate(affinity_list) if e != 0] + os.sched_setaffinity(0, affinity_to_set) + if verbose: + cpu_cores = os.sched_getaffinity(0) + logger.info(f"Assigning {len(cpu_cores)} cpu cores to process {local_process_index}: {cpu_cores}") + + +@lru_cache +def set_numa_affinity(local_process_index: int, verbose: Optional[bool] = None) -> None: + """ + Assigns the current process to a specific NUMA node. Ideally most efficient when having at least 2 cpus per node. + + This result is cached between calls. If you want to override it, please use + `accelerate.utils.environment.override_numa_afifnity`. + + Args: + local_process_index (int): + The index of the current process on the current server. + verbose (bool, *optional*): + Whether to print the new cpu cores assignment for each process. If `ACCELERATE_DEBUG_MODE` is enabled, will + default to True. + """ + override_numa_affinity(local_process_index=local_process_index, verbose=verbose) + + +@contextmanager +def clear_environment(): + """ + A context manager that will temporarily clear environment variables. + + When this context exits, the previous environment variables will be back. + + Example: + + ```python + >>> import os + >>> from accelerate.utils import clear_environment + + >>> os.environ["FOO"] = "bar" + >>> with clear_environment(): + ... print(os.environ) + ... os.environ["FOO"] = "new_bar" + ... print(os.environ["FOO"]) + {} + new_bar + + >>> print(os.environ["FOO"]) + bar + ``` + """ + _old_os_environ = os.environ.copy() + os.environ.clear() + + try: + yield + finally: + os.environ.clear() # clear any added keys, + os.environ.update(_old_os_environ) # then restore previous environment + + +@contextmanager +def patch_environment(**kwargs): + """ + A context manager that will add each keyword argument passed to `os.environ` and remove them when exiting. + + Will convert the values in `kwargs` to strings and upper-case all the keys. + + Example: + + ```python + >>> import os + >>> from accelerate.utils import patch_environment + + >>> with patch_environment(FOO="bar"): + ... print(os.environ["FOO"]) # prints "bar" + >>> print(os.environ["FOO"]) # raises KeyError + ``` + """ + existing_vars = {} + for key, value in kwargs.items(): + key = key.upper() + if key in os.environ: + existing_vars[key] = os.environ[key] + os.environ[key] = str(value) + + try: + yield + finally: + for key in kwargs: + key = key.upper() + if key in existing_vars: + # restore previous value + os.environ[key] = existing_vars[key] + else: + os.environ.pop(key, None) + + +def purge_accelerate_environment(func_or_cls): + """Decorator to clean up accelerate environment variables set by the decorated class or function. + + In some circumstances, calling certain classes or functions can result in accelerate env vars being set and not + being cleaned up afterwards. As an example, when calling: + + TrainingArguments(fp16=True, ...) + + The following env var will be set: + + ACCELERATE_MIXED_PRECISION=fp16 + + This can affect subsequent code, since the env var takes precedence over TrainingArguments(fp16=False). This is + especially relevant for unit testing, where we want to avoid the individual tests to have side effects on one + another. Decorate the unit test function or whole class with this decorator to ensure that after each test, the env + vars are cleaned up. This works for both unittest.TestCase and normal classes (pytest); it also works when + decorating the parent class. + + """ + prefix = "ACCELERATE_" + + @contextmanager + def env_var_context(): + # Store existing accelerate env vars + existing_vars = {k: v for k, v in os.environ.items() if k.startswith(prefix)} + try: + yield + finally: + # Restore original env vars or remove new ones + for key in [k for k in os.environ if k.startswith(prefix)]: + if key in existing_vars: + os.environ[key] = existing_vars[key] + else: + os.environ.pop(key, None) + + def wrap_function(func): + @wraps(func) + def wrapper(*args, **kwargs): + with env_var_context(): + return func(*args, **kwargs) + + wrapper._accelerate_is_purged_environment_wrapped = True + return wrapper + + if not isinstance(func_or_cls, type): + return wrap_function(func_or_cls) + + # Handle classes by wrapping test methods + def wrap_test_methods(test_class_instance): + for name in dir(test_class_instance): + if name.startswith("test"): + method = getattr(test_class_instance, name) + if callable(method) and not hasattr(method, "_accelerate_is_purged_environment_wrapped"): + setattr(test_class_instance, name, wrap_function(method)) + return test_class_instance + + # Handle inheritance + wrap_test_methods(func_or_cls) + func_or_cls.__init_subclass__ = classmethod(lambda cls, **kw: wrap_test_methods(cls)) + return func_or_cls diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/fsdp_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/fsdp_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..b0475cb7d13fb5a6477a93455a9d025b6a582201 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/fsdp_utils.py @@ -0,0 +1,829 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import copy +import functools +import os +import re +import shutil +import warnings +from collections import defaultdict +from collections.abc import Iterable +from contextlib import nullcontext +from pathlib import Path +from typing import Callable, Union + +import torch + +from ..logging import get_logger +from .constants import FSDP_MODEL_NAME, OPTIMIZER_NAME, SAFE_WEIGHTS_NAME, WEIGHTS_NAME +from .dataclasses import get_module_class_from_name +from .modeling import get_non_persistent_buffers, is_peft_model +from .other import get_module_children_bottom_up, is_compiled_module, save +from .versions import is_torch_version + + +logger = get_logger(__name__) + + +def enable_fsdp_ram_efficient_loading(): + """ + Enables RAM efficient loading of Hugging Face models for FSDP in the environment. + """ + # Sets values for `transformers.modeling_utils.is_fsdp_enabled` + if "ACCELERATE_USE_FSDP" not in os.environ: + os.environ["ACCELERATE_USE_FSDP"] = "True" + os.environ["FSDP_CPU_RAM_EFFICIENT_LOADING"] = "True" + + +def disable_fsdp_ram_efficient_loading(): + """ + Disables RAM efficient loading of Hugging Face models for FSDP in the environment. + """ + os.environ["FSDP_CPU_RAM_EFFICIENT_LOADING"] = "False" + + +def _get_model_state_dict(model, adapter_only=False, sd_options=None): + if adapter_only and is_peft_model(model): + from peft import get_peft_model_state_dict + + return get_peft_model_state_dict(model, adapter_name=model.active_adapter) + + # Invariant: `sd_options` is not None only for FSDP2 + if sd_options is not None: + from torch.distributed.checkpoint.state_dict import get_model_state_dict + + return get_model_state_dict(model, options=sd_options) + else: + return model.state_dict() + + +def _set_model_state_dict(model, state_dict, adapter_only=False, sd_options=None): + if adapter_only and is_peft_model(model): + from peft import set_peft_model_state_dict + + return set_peft_model_state_dict(model, state_dict, adapter_name=model.active_adapter) + + # Invariant: `sd_options` is not None only for FSDP2 + if sd_options is not None: + from torch.distributed.checkpoint.state_dict import set_model_state_dict + + return set_model_state_dict(model, state_dict, options=sd_options) + else: + return model.load_state_dict(state_dict) + + +def _prepare_sd_options(fsdp_plugin): + sd_options = None + + # we use this only for FSDP2, as it requires torch >= 2.6.0 and this api requires torch >= 2.2.0 + if fsdp_plugin.fsdp_version == 2: + from torch.distributed.checkpoint.state_dict import StateDictOptions + from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType + + sd_options = StateDictOptions( + full_state_dict=fsdp_plugin.state_dict_type == StateDictType.FULL_STATE_DICT, + cpu_offload=getattr(fsdp_plugin.state_dict_config, "offload_to_cpu", False), + broadcast_from_rank0=getattr(fsdp_plugin.state_dict_config, "rank0_only", False), + ) + + return sd_options + + +def save_fsdp_model(fsdp_plugin, accelerator, model, output_dir, model_index=0, adapter_only=False): + # Note: We import here to reduce import time from general modules, and isolate outside dependencies + import torch.distributed.checkpoint as dist_cp + from torch.distributed.checkpoint.default_planner import DefaultSavePlanner + from torch.distributed.fsdp.fully_sharded_data_parallel import FullyShardedDataParallel as FSDP + from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType + + os.makedirs(output_dir, exist_ok=True) + if fsdp_plugin.state_dict_type == StateDictType.FULL_STATE_DICT: + # FSDP raises error when single GPU is used with `offload_to_cpu=True` for FULL_STATE_DICT + # so, only enable it when num_processes>1 + is_multi_process = accelerator.num_processes > 1 + fsdp_plugin.state_dict_config.offload_to_cpu = is_multi_process + fsdp_plugin.state_dict_config.rank0_only = is_multi_process + + ctx = ( + FSDP.state_dict_type( + model, fsdp_plugin.state_dict_type, fsdp_plugin.state_dict_config, fsdp_plugin.optim_state_dict_config + ) + if fsdp_plugin.fsdp_version == 1 + else nullcontext() + ) + sd_options = _prepare_sd_options(fsdp_plugin) + + with ctx: + state_dict = _get_model_state_dict(model, adapter_only=adapter_only, sd_options=sd_options) + if fsdp_plugin.state_dict_type == StateDictType.FULL_STATE_DICT: + weights_name = f"{FSDP_MODEL_NAME}.bin" if model_index == 0 else f"{FSDP_MODEL_NAME}_{model_index}.bin" + output_model_file = os.path.join(output_dir, weights_name) + if accelerator.process_index == 0: + logger.info(f"Saving model to {output_model_file}") + torch.save(state_dict, output_model_file) + logger.info(f"Model saved to {output_model_file}") + # Invariant: `LOCAL_STATE_DICT` is never possible with `FSDP2` + elif fsdp_plugin.state_dict_type == StateDictType.LOCAL_STATE_DICT: + weights_name = ( + f"{FSDP_MODEL_NAME}_rank{accelerator.process_index}.bin" + if model_index == 0 + else f"{FSDP_MODEL_NAME}_{model_index}_rank{accelerator.process_index}.bin" + ) + output_model_file = os.path.join(output_dir, weights_name) + logger.info(f"Saving model to {output_model_file}") + torch.save(state_dict, output_model_file) + logger.info(f"Model saved to {output_model_file}") + elif fsdp_plugin.state_dict_type == StateDictType.SHARDED_STATE_DICT: + ckpt_dir = os.path.join(output_dir, f"{FSDP_MODEL_NAME}_{model_index}") + os.makedirs(ckpt_dir, exist_ok=True) + logger.info(f"Saving model to {ckpt_dir}") + state_dict = {"model": state_dict} + + dist_cp.save( + state_dict=state_dict, + storage_writer=dist_cp.FileSystemWriter(ckpt_dir), + planner=DefaultSavePlanner(), + ) + logger.info(f"Model saved to {ckpt_dir}") + + +def load_fsdp_model(fsdp_plugin, accelerator, model, input_dir, model_index=0, adapter_only=False): + # Note: We import here to reduce import time from general modules, and isolate outside dependencies + import torch.distributed.checkpoint as dist_cp + from torch.distributed.checkpoint.default_planner import DefaultLoadPlanner + from torch.distributed.fsdp.fully_sharded_data_parallel import FullyShardedDataParallel as FSDP + from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType + + accelerator.wait_for_everyone() + if fsdp_plugin.state_dict_type == StateDictType.FULL_STATE_DICT: + # FSDP raises error when single GPU is used with `offload_to_cpu=True` for FULL_STATE_DICT + # so, only enable it when num_processes>1 + is_multi_process = accelerator.num_processes > 1 + fsdp_plugin.state_dict_config.offload_to_cpu = is_multi_process + fsdp_plugin.state_dict_config.rank0_only = is_multi_process + + ctx = ( + FSDP.state_dict_type( + model, fsdp_plugin.state_dict_type, fsdp_plugin.state_dict_config, fsdp_plugin.optim_state_dict_config + ) + if fsdp_plugin.fsdp_version == 1 + else nullcontext() + ) + sd_options = _prepare_sd_options(fsdp_plugin) + with ctx: + if fsdp_plugin.state_dict_type == StateDictType.FULL_STATE_DICT: + if type(model) is not FSDP and accelerator.process_index != 0 and not accelerator.is_fsdp2: + if not fsdp_plugin.sync_module_states and fsdp_plugin.fsdp_version == 1: + raise ValueError( + "Set the `sync_module_states` flag to `True` so that model states are synced across processes when " + "initializing FSDP object" + ) + return + weights_name = f"{FSDP_MODEL_NAME}.bin" if model_index == 0 else f"{FSDP_MODEL_NAME}_{model_index}.bin" + input_model_file = os.path.join(input_dir, weights_name) + logger.info(f"Loading model from {input_model_file}") + # we want an empty state dict for FSDP2 as we use `broadcast_from_rank0` + load_model = not accelerator.is_fsdp2 or accelerator.is_main_process + if load_model: + state_dict = torch.load(input_model_file, weights_only=True) + else: + state_dict = {} + logger.info(f"Model loaded from {input_model_file}") + elif fsdp_plugin.state_dict_type == StateDictType.LOCAL_STATE_DICT: + weights_name = ( + f"{FSDP_MODEL_NAME}_rank{accelerator.process_index}.bin" + if model_index == 0 + else f"{FSDP_MODEL_NAME}_{model_index}_rank{accelerator.process_index}.bin" + ) + input_model_file = os.path.join(input_dir, weights_name) + logger.info(f"Loading model from {input_model_file}") + state_dict = torch.load(input_model_file, weights_only=True) + logger.info(f"Model loaded from {input_model_file}") + elif fsdp_plugin.state_dict_type == StateDictType.SHARDED_STATE_DICT: + ckpt_dir = ( + os.path.join(input_dir, f"{FSDP_MODEL_NAME}_{model_index}") + if f"{FSDP_MODEL_NAME}" not in input_dir + else input_dir + ) + logger.info(f"Loading model from {ckpt_dir}") + state_dict = {"model": _get_model_state_dict(model, adapter_only=adapter_only, sd_options=sd_options)} + dist_cp.load( + state_dict=state_dict, + storage_reader=dist_cp.FileSystemReader(ckpt_dir), + planner=DefaultLoadPlanner(), + ) + state_dict = state_dict["model"] + logger.info(f"Model loaded from {ckpt_dir}") + + load_result = _set_model_state_dict(model, state_dict, adapter_only=adapter_only, sd_options=sd_options) + return load_result + + +def save_fsdp_optimizer(fsdp_plugin, accelerator, optimizer, model, output_dir, optimizer_index=0): + # Note: We import here to reduce import time from general modules, and isolate outside dependencies + import torch.distributed.checkpoint as dist_cp + from torch.distributed.checkpoint.default_planner import DefaultSavePlanner + from torch.distributed.fsdp.fully_sharded_data_parallel import FullyShardedDataParallel as FSDP + from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType + + os.makedirs(output_dir, exist_ok=True) + + ctx = ( + FSDP.state_dict_type( + model, fsdp_plugin.state_dict_type, fsdp_plugin.state_dict_config, fsdp_plugin.optim_state_dict_config + ) + if fsdp_plugin.fsdp_version == 1 + else nullcontext() + ) + + sd_options = _prepare_sd_options(fsdp_plugin) + + with ctx: + if fsdp_plugin.fsdp_version == 2: + from torch.distributed.checkpoint.state_dict import get_optimizer_state_dict + + optim_state = get_optimizer_state_dict(model, optimizer, options=sd_options) + else: + optim_state = FSDP.optim_state_dict(model, optimizer) + + if fsdp_plugin.state_dict_type == StateDictType.FULL_STATE_DICT: + if accelerator.process_index == 0: + optim_state_name = ( + f"{OPTIMIZER_NAME}.bin" if optimizer_index == 0 else f"{OPTIMIZER_NAME}_{optimizer_index}.bin" + ) + output_optimizer_file = os.path.join(output_dir, optim_state_name) + logger.info(f"Saving Optimizer state to {output_optimizer_file}") + torch.save(optim_state, output_optimizer_file) + logger.info(f"Optimizer state saved in {output_optimizer_file}") + else: + ckpt_dir = os.path.join(output_dir, f"{OPTIMIZER_NAME}_{optimizer_index}") + os.makedirs(ckpt_dir, exist_ok=True) + logger.info(f"Saving Optimizer state to {ckpt_dir}") + dist_cp.save( + state_dict={"optimizer": optim_state}, + storage_writer=dist_cp.FileSystemWriter(ckpt_dir), + planner=DefaultSavePlanner(), + ) + logger.info(f"Optimizer state saved in {ckpt_dir}") + + +def load_fsdp_optimizer(fsdp_plugin, accelerator, optimizer, model, input_dir, optimizer_index=0, adapter_only=False): + # Note: We import here to reduce import time from general modules, and isolate outside dependencies + import torch.distributed.checkpoint as dist_cp + from torch.distributed.fsdp.fully_sharded_data_parallel import FullyShardedDataParallel as FSDP + from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType + + accelerator.wait_for_everyone() + ctx = ( + FSDP.state_dict_type( + model, fsdp_plugin.state_dict_type, fsdp_plugin.state_dict_config, fsdp_plugin.optim_state_dict_config + ) + if fsdp_plugin.fsdp_version == 1 + else nullcontext() + ) + sd_options = _prepare_sd_options(fsdp_plugin) + with ctx: + if fsdp_plugin.state_dict_type == StateDictType.FULL_STATE_DICT: + optim_state = None + if accelerator.process_index == 0 or not fsdp_plugin.optim_state_dict_config.rank0_only: + optimizer_name = ( + f"{OPTIMIZER_NAME}.bin" if optimizer_index == 0 else f"{OPTIMIZER_NAME}_{optimizer_index}.bin" + ) + input_optimizer_file = os.path.join(input_dir, optimizer_name) + logger.info(f"Loading Optimizer state from {input_optimizer_file}") + optim_state = torch.load(input_optimizer_file, weights_only=True) + logger.info(f"Optimizer state loaded from {input_optimizer_file}") + else: + ckpt_dir = ( + os.path.join(input_dir, f"{OPTIMIZER_NAME}_{optimizer_index}") + if f"{OPTIMIZER_NAME}" not in input_dir + else input_dir + ) + logger.info(f"Loading Optimizer from {ckpt_dir}") + optim_state = {"optimizer": optimizer.state_dict()} + dist_cp.load( + optim_state, + checkpoint_id=ckpt_dir, + storage_reader=dist_cp.FileSystemReader(ckpt_dir), + ) + optim_state = optim_state["optimizer"] + logger.info(f"Optimizer loaded from {ckpt_dir}") + + if fsdp_plugin.fsdp_version == 1: + flattened_osd = FSDP.optim_state_dict_to_load(model=model, optim=optimizer, optim_state_dict=optim_state) + optimizer.load_state_dict(flattened_osd) + else: + from torch.distributed.checkpoint.state_dict import set_optimizer_state_dict + + set_optimizer_state_dict(model, optimizer, optim_state, options=sd_options) + + +def _distributed_checkpoint_to_merged_weights(checkpoint_dir: str, save_path: str, safe_serialization: bool = True): + """ + Passthrough to `torch.distributed.checkpoint.format_utils.dcp_to_torch_save` + + Will save under `save_path` as either `model.safetensors` or `pytorch_model.bin`. + """ + # Note: We import here to reduce import time from general modules, and isolate outside dependencies + import torch.distributed.checkpoint as dist_cp + import torch.distributed.checkpoint.format_utils as dist_cp_format_utils + + state_dict = {} + save_path = Path(save_path) + save_path.mkdir(exist_ok=True) + dist_cp_format_utils._load_state_dict( + state_dict, + storage_reader=dist_cp.FileSystemReader(checkpoint_dir), + planner=dist_cp_format_utils._EmptyStateDictLoadPlanner(), + no_dist=True, + ) + save_path = save_path / SAFE_WEIGHTS_NAME if safe_serialization else save_path / WEIGHTS_NAME + + # To handle if state is a dict like {model: {...}} + if len(state_dict.keys()) == 1: + state_dict = state_dict[list(state_dict)[0]] + save(state_dict, save_path, safe_serialization=safe_serialization) + return save_path + + +def merge_fsdp_weights( + checkpoint_dir: str, output_path: str, safe_serialization: bool = True, remove_checkpoint_dir: bool = False +): + """ + Merge the weights from sharded FSDP model checkpoints into a single combined checkpoint. Should be used if + `SHARDED_STATE_DICT` was used for the model. Weights will be saved to `{output_path}/model.safetensors` if + `safe_serialization` else `pytorch_model.bin`. + + Note: this is a CPU-bound process. + + Args: + checkpoint_dir (`str`): + The directory containing the FSDP checkpoints (can be either the model or optimizer). + output_path (`str`): + The path to save the merged checkpoint. + safe_serialization (`bool`, *optional*, defaults to `True`): + Whether to save the merged weights with safetensors (recommended). + remove_checkpoint_dir (`bool`, *optional*, defaults to `False`): + Whether to remove the checkpoint directory after merging. + """ + checkpoint_dir = Path(checkpoint_dir) + from accelerate.state import PartialState + + if not is_torch_version(">=", "2.3.0"): + raise ValueError("`merge_fsdp_weights` requires PyTorch >= 2.3.0`") + + # Verify that the checkpoint directory exists + if not checkpoint_dir.exists(): + model_path_exists = (checkpoint_dir / "pytorch_model_fsdp_0").exists() + optimizer_path_exists = (checkpoint_dir / "optimizer_0").exists() + err = f"Tried to load from {checkpoint_dir} but couldn't find a valid metadata file." + if model_path_exists and optimizer_path_exists: + err += " However, potential model and optimizer checkpoint directories exist." + err += f"Please pass in either {checkpoint_dir}/pytorch_model_fsdp_0 or {checkpoint_dir}/optimizer_0" + err += "instead." + elif model_path_exists: + err += " However, a potential model checkpoint directory exists." + err += f"Please try passing in {checkpoint_dir}/pytorch_model_fsdp_0 instead." + elif optimizer_path_exists: + err += " However, a potential optimizer checkpoint directory exists." + err += f"Please try passing in {checkpoint_dir}/optimizer_0 instead." + raise ValueError(err) + + # To setup `save` to work + state = PartialState() + if state.is_main_process: + logger.info(f"Merging FSDP weights from {checkpoint_dir}") + save_path = _distributed_checkpoint_to_merged_weights(checkpoint_dir, output_path, safe_serialization) + logger.info(f"Successfully merged FSDP weights and saved to {save_path}") + if remove_checkpoint_dir: + logger.info(f"Removing old checkpoint directory {checkpoint_dir}") + shutil.rmtree(checkpoint_dir) + state.wait_for_everyone() + + +def ensure_weights_retied(param_init_fn, model: torch.nn.Module, device: torch.device): + _tied_names = getattr(model, "_tied_weights_keys", None) + if not _tied_names: + # if no tied names just passthrough + return param_init_fn + + # get map of parameter instances to params. + # - needed for replacement later + _tied_params = {} + for name in _tied_names: + name = name.split(".") + name, param_name = ".".join(name[:-1]), name[-1] + mod = model.get_submodule(name) + param = getattr(mod, param_name) + + _tied_params[id(param)] = None # placeholder for the param first + + # build param_init_fn for the case with tied params + def param_init_fn_tied_param(module: torch.nn.Module): + # track which params to tie + # - usually only 1, but for completeness consider > 1 + params_to_tie = defaultdict(list) + for n, param in module.named_parameters(recurse=False): + if id(param) in _tied_params: + params_to_tie[id(param)].append(n) + + # call the param init fn, which potentially re-allocates the + # parameters + module = param_init_fn(module) + + # search the parameters again and tie them up again + for id_key, _param_names in params_to_tie.items(): + for param_name in _param_names: + param = _tied_params[id_key] + if param is None: + # everything will be tied to the first time the + # param is observed + _tied_params[id_key] = getattr(module, param_name) + else: + setattr(module, param_name, param) # tie + + return module + + return param_init_fn_tied_param + + +def fsdp2_load_full_state_dict(accelerator, model: torch.nn.Module, full_sd: dict): + """ + Loads the full state dict (could be only on rank 0) into the sharded model. This is done by broadcasting the + parameters from rank 0 to all other ranks. This function modifies the model in-place. + + Args: + accelerator (`Accelerator`): The accelerator instance + model (`torch.nn.Module`): + The model to load the state dict into, expected to be on meta device or a VRAM spike can occur + full_sd (`dict`): The full state dict to load, can only be on rank 0 + """ + import torch.distributed as dist + from torch.distributed.tensor import DTensor, distribute_tensor + + # Model was previously copied to meta device + meta_sharded_sd = model.state_dict() + sharded_sd = {} + + # Rank 0 distributes the full state dict to other ranks + def _infer_parameter_dtype(model, param_name, empty_param): + try: + old_param = model.get_parameter_or_buffer(param_name) + except AttributeError: + # Need this for LORA, as there some params are not *parameters* of sorts + base_param_name, local_param_name = param_name.rsplit(".", 1) + submodule = model.get_submodule(base_param_name) + old_param = getattr(submodule, local_param_name) + + is_torch_e4m3fn_available = hasattr(torch, "float8_e4m3fn") + casting_dtype = None + is_param_float8_e4m3fn = is_torch_e4m3fn_available and empty_param.dtype == torch.float8_e4m3fn + + if empty_param.dtype.is_floating_point and not is_param_float8_e4m3fn: + casting_dtype = old_param.dtype + + return old_param is not None and old_param.is_contiguous(), casting_dtype + + def _cast_and_contiguous(tensor, to_contiguous, dtype): + if dtype is not None: + tensor = tensor.to(dtype=dtype) + if to_contiguous: + tensor = tensor.contiguous() + return tensor + + if accelerator.is_main_process: + for (param_name, full_param), sharded_param in zip(full_sd.items(), meta_sharded_sd.values()): + device_mesh = sharded_param.device_mesh + full_param = full_param.detach().to(device_mesh.device_type) + if isinstance(full_param, DTensor): + # dist.broadcast() only supports torch.Tensor. + # After prepare_tp(), model parameters may become DTensor. + # To broadcast such a parameter, convert it to a local tensor first. + full_param = full_param.to_local() + dist.broadcast(full_param, src=0, group=dist.group.WORLD) + sharded_tensor = distribute_tensor(full_param, device_mesh, sharded_param.placements) + to_contiguous, casting_dtype = _infer_parameter_dtype( + model, + param_name, + full_param, + ) + sharded_tensor = _cast_and_contiguous(sharded_tensor, to_contiguous, casting_dtype) + sharded_sd[param_name] = sharded_tensor + # We need this else to have a matching `broadcast` for all of the ranks, else we deadlock + else: + for param_name, sharded_param in meta_sharded_sd.items(): + device_mesh = sharded_param.device_mesh + full_tensor = torch.empty(sharded_param.size(), device=device_mesh.device_type, dtype=sharded_param.dtype) + dist.broadcast(full_tensor, src=0, group=dist.group.WORLD) + sharded_tensor = distribute_tensor(full_tensor, device_mesh, sharded_param.placements) + to_contiguous, casting_dtype = _infer_parameter_dtype( + model, + param_name, + full_tensor, + ) + sharded_tensor = _cast_and_contiguous(sharded_tensor, to_contiguous, casting_dtype) + sharded_sd[param_name] = sharded_tensor + + # we set `assign=True` because our params are on meta device + model.load_state_dict(sharded_sd, assign=True) + return model + + +def fsdp2_switch_optimizer_parameters(optimizer: torch.optim.Optimizer, mapping: dict): + """ + Switches the parameters of the optimizer to new ones (sharded parameters in usual case). This function modifies the + optimizer in-place. + + Args: + optimizer (`torch.optim.Optimizer`): Optimizer instance which contains the original model parameters + mapping (`dict`): Mapping from the original parameter (specified by `data_ptr`) to the sharded parameter + + Raises: + KeyError: + If a parameter in the optimizer couldn't be switched to its sharded version. This should never happen and + indicates a bug. If we kept the original params instead of raising, the training wouldn't be numerically + correct and weights wouldn't get updated. + """ + from torch.distributed.tensor import DTensor + + accessor_mapping = {} + + accessor_mapping[DTensor] = "_local_tensor" + try: + for param_group in optimizer.param_groups: + param_group["params"] = [mapping[p.data_ptr] for p in param_group["params"]] + except KeyError: + # This shouldn't ever happen, but we want to fail here else training wouldn't be numerically correct + # This basically means that we're missing a mapping from the original parameter to the sharded parameter + raise KeyError( + "A parameter in the optimizer couldn't be switched to its sharded version. This breaks the training. Please raise an issue on GitHub." + ) + + +def fsdp2_apply_ac(accelerator, model: torch.nn.Module): + """ + Applies the activation checkpointing to the model. + + Args: + accelerator (`Accelerator`): The accelerator instance + model (`torch.nn.Module`): The model to apply the activation checkpointing to + + Returns: + `torch.nn.Module`: The model with the activation checkpointing applied + """ + + from torch.distributed.algorithms._checkpoint.checkpoint_wrapper import ( + checkpoint_wrapper, + ) + + auto_wrap_policy_func = fsdp2_prepare_auto_wrap_policy(accelerator.state.fsdp_plugin, model) + + for layer_name, layer in get_module_children_bottom_up(model, return_fqns=True)[:-1]: + if len(layer_name.split(".")) > 1: + parent_name, child_name = layer_name.rsplit(".", 1) + else: + parent_name = None + child_name = layer_name + + parent_module = model.get_submodule(parent_name) if parent_name else model + if auto_wrap_policy_func(parent_module): + layer = checkpoint_wrapper(layer, preserve_rng_state=False) + parent_module.register_module(child_name, layer) + + return model + + +def fsdp2_prepare_model(accelerator, model: torch.nn.Module) -> torch.nn.Module: + """Prepares the model for FSDP2 in-place. Also returns the model to avoid misuse of the original model. + + Args: + accelerator (`Accelerator`): The accelerator instance + model (`torch.nn.Module`): The model to prepare + + Returns: + `torch.nn.Module`: Prepared model + """ + from torch.distributed.fsdp import FSDPModule, MixedPrecisionPolicy, fully_shard + + is_type_fsdp = isinstance(model, FSDPModule) or ( + is_compiled_module(model) and isinstance(model._orig_mod, FSDPModule) + ) + if is_type_fsdp: + return model + + fsdp2_plugin = accelerator.state.fsdp_plugin + + fsdp2_plugin.set_auto_wrap_policy(model) + + original_sd = model.state_dict() + mesh = getattr(accelerator, "torch_device_mesh", None) + + fsdp2_kwargs = { + "reshard_after_forward": fsdp2_plugin.reshard_after_forward, + "offload_policy": fsdp2_plugin.cpu_offload, + # `fully_shard` doesn't accept `None` in case of `MixedPrecisionPolicy` + "mp_policy": fsdp2_plugin.mixed_precision_policy or MixedPrecisionPolicy(), + "mesh": mesh[tuple(accelerator.parallelism_config.fsdp_dim_names)] if mesh is not None else None, + "ignored_params": get_parameters_from_modules(fsdp2_plugin.ignored_modules, model, accelerator.device), + } + + model_has_params4bit = False + for name, param in model.named_parameters(): + # this is a temporary fix whereby loading models with bnb params cannot be moved from + # GPU to a meta device due with FSDP2 because torch operations don't return the original class type + # bypassing the move to meta will still cause the VRAM spike, but at least it still will load + if param.__class__.__name__ == "Params4bit": + model_has_params4bit = True + break + + if fsdp2_plugin.cpu_ram_efficient_loading and not model_has_params4bit: + # Context: `fully_shard` moves the model to GPU if it was on CPU, however it can also be on `meta` and then it stays there even after `fully_shard` + # For this reason, we need to move the model to `meta` device, as then sharding happens on `meta` device + # If we kept the model on CPU (`cpu_ram_efficient_loading` has model be on CPU on all ranks, though non-main ranks only have `torch.empty`), `fully_shard` would move it to GPU + # Afterwards, when we call `fsdp2_load_full_state_dict`, us creating the state_dict would result into briefly having two copies of model state_dict on the GPU -> VRAM spike + + # We need to keep the original non-persistent buffers, as those MAY not be in the state_dict, resulting in them staying on meta device + # Also, these buffers aren't getting sharded by default + # We get the FQNs of all non-persistent buffers, to re-register them after + non_persistent_buffer_fqns = get_non_persistent_buffers(model, recurse=True, fqns=True) + original_non_persistent_buffers = copy.deepcopy( + {k: v for k, v in model.named_buffers() if k in non_persistent_buffer_fqns} + ) + # We move the model to meta device, as then sharding happens on meta device + model = model.to(torch.device("meta")) + # We need to re-tie the weights, not exactly sure why, but if we don't do this, reference to `lm_head/embed_tokens` stay hanging -> more VRAM usage + # We assume `transformers` models have a `tie_weights` method if they support it + if hasattr(model, "tie_weights"): + model.tie_weights() + + auto_wrap_policy_func = fsdp2_prepare_auto_wrap_policy(fsdp2_plugin, model) + if auto_wrap_policy_func is not None: + # We skip the model itself, as that one is always wrapped + for module in get_module_children_bottom_up(model)[:-1]: + if auto_wrap_policy_func(module) and not isinstance(module, FSDPModule): + fully_shard(module, **fsdp2_kwargs) + + if not isinstance(model, FSDPModule): + fully_shard(model, **fsdp2_kwargs) + + if fsdp2_plugin.cpu_ram_efficient_loading: + # If `cpu_ram_efficient_loading` is enabled, only rank 0 loads the weights + # Other ranks have an empty model on `meta` device, so we need to distribute the weights properly + fsdp2_load_full_state_dict(accelerator, model, original_sd) + + if fsdp2_plugin.cpu_ram_efficient_loading and not model_has_params4bit: + # We re-register the buffers, as they may not be in the state_dict + for fqn, buffer_tensor in original_non_persistent_buffers.items(): + buffer_tensor = buffer_tensor.to(accelerator.device) + + if "." in fqn: + parent_fqn, local_buffer_name = fqn.rsplit(".", 1) + parent_module = model.get_submodule(parent_fqn) + else: + local_buffer_name = fqn + parent_module = model + + parent_module.register_buffer(local_buffer_name, buffer_tensor, persistent=False) + + # We need to tie the weights again, as call to `load_full_state_dict` breaks the tie + # Needs to be called both here and above + # removing this call makes the have slightly different loss + # removing the call above leads to extra memory usage as explained in the comment above + if hasattr(model, "tie_weights"): + model.tie_weights() + + # There is no `dtype` attribution for nn.Module + # Set it to None if it doesn't exist and do the upcast always + model_dtype = getattr(model, "dtype", None) + if accelerator.mixed_precision != "no" and (model_dtype is None or model_dtype != torch.float32): + # We upcast the model according to `deepspeed`'s implementation + # More info about this can be found in `accelerator.py:prepare_model`s FSDP1 section + model = model.to(torch.float32) + if accelerator.is_main_process: + # TODO(siro1): Add a warning for each parameter that was upcasted + warnings.warn( + "FSDP upcast of low precision parameters to fp32 (since mixed_precision != 'no') may affect the precision of model checkpoints." + ) + return model + + +def fsdp2_prepare_auto_wrap_policy(fsdp2_plugin, model: torch.nn.Module) -> Callable[[torch.nn.Module], bool]: + """Prepares the auto wrap policy based on its type, done to mimic the behaviour of FSDP1 auto wrap policy. + + Args: + fsdp2_plugin (`FullyShardedDataParallelPlugin`): + Instance of `FullyShardedDataParallelPlugin` containing the configuration options + auto_wrap_policy_type (`str`): + Either `transformer` or `size` + model (`torch.nn.Module`): + The model to wrap + + Returns: + `Callable[[torch.nn.Module], bool]`: + The auto wrap policy function to be applied to the model + """ + from torch.distributed.fsdp.wrap import size_based_auto_wrap_policy, transformer_auto_wrap_policy + + fn = fsdp2_plugin.auto_wrap_policy + + if isinstance(fn, functools.partial): + fn = fn.func + + if fn is transformer_auto_wrap_policy: + no_split_modules = getattr(model, "_no_split_modules", None) + if no_split_modules is None: + no_split_modules = [] + transformer_cls_names_to_wrap = list(no_split_modules) + if fsdp2_plugin.transformer_cls_names_to_wrap is not None: + transformer_cls_names_to_wrap = fsdp2_plugin.transformer_cls_names_to_wrap + transformer_cls_to_wrap = set() + + for layer_class in transformer_cls_names_to_wrap: + transformer_cls = get_module_class_from_name(model, layer_class) + if transformer_cls is None: + raise ValueError(f"Could not find the transformer layer class {layer_class} in the model.") + transformer_cls_to_wrap.add(transformer_cls) + + def policy(module: torch.nn.Module) -> bool: + if fsdp2_plugin.transformer_cls_names_to_wrap is None: + return False + return isinstance(module, tuple(transformer_cls_to_wrap)) + + elif fn is size_based_auto_wrap_policy: + + def policy(module: torch.nn.Module) -> bool: + module_num_params = sum(p.numel() for p in module.parameters()) + return module_num_params > fsdp2_plugin.min_num_params + else: + return None + + return policy + + +def get_fsdp2_grad_scaler(**kwargs): + """ + Returns a `GradScaler` for FSDP2, as the current implementation of `get_grad_scaler` doesn't accept other args. We + need this as current `get_grad_scaler` accepts only `distributed_type` as arg, which doesn't differentiate between + FSDP1 and FSDP2 + """ + from torch.amp.grad_scaler import GradScaler + + return GradScaler(**kwargs) + + +def fsdp2_canonicalize_names(named_params: dict) -> dict: + """Removes parameter name modifiers in order to map them back to their original names. + + See huggingface/accelerate#3554 for more context. + + Args: + named_params (`dict`): The named parameters dictionary to canonicalize. + + Returns: + `dict`: The canonicalized named parameters dictionary + """ + named_params = {k.replace("._checkpoint_wrapped_module", ""): v for k, v in named_params.items()} + named_params = { + k.replace("_orig_mod.", "") if k.startswith("_orig_mod.") else k: v for k, v in named_params.items() + } + named_params = {k.replace("._orig_mod", ""): v for k, v in named_params.items()} + return named_params + + +def get_parameters_from_modules( + modules: Union[Iterable[torch.nn.Module], str], model, device +) -> set[torch.nn.Parameter]: + """Converts modules to parameters where modules can be a string or list of torch.nn.Module + + Args: + modules (`Union[Iterable[torch.nn.Module], str]`): List of modules + + Returns: + `set[torch.nn.Parameter]`: List of parameters + """ + if modules is None: + return set() + parameters = [] + # code taken from accelerate while preparing kwargs for FSDP + if isinstance(modules, str): + reg = re.compile(modules) + mapped_modules = [] + for name, module in model.named_modules(): + if reg.fullmatch(name): + module.to(device) + mapped_modules.append(module) + modules = mapped_modules + for module in modules: + parameters.extend(list(module.parameters())) + return set(parameters) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/imports.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/imports.py new file mode 100644 index 0000000000000000000000000000000000000000..68cef6b4a4cafd65de5e82de155a316683cee737 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/imports.py @@ -0,0 +1,564 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import importlib +import importlib.metadata +import os +import sys +import warnings +from functools import lru_cache, wraps + +import torch +from packaging import version +from packaging.version import parse + +from .environment import parse_flag_from_env, patch_environment, str_to_bool +from .versions import compare_versions, is_torch_version + + +# Try to run Torch native job in an environment with TorchXLA installed by setting this value to 0. +USE_TORCH_XLA = parse_flag_from_env("USE_TORCH_XLA", default=True) + +_torch_xla_available = False +if USE_TORCH_XLA: + try: + import torch_xla.core.xla_model as xm # noqa: F401 + import torch_xla.runtime + + _torch_xla_available = True + except ImportError: + pass + +# Keep it for is_tpu_available. It will be removed along with is_tpu_available. +_tpu_available = _torch_xla_available + +# Cache this result has it's a C FFI call which can be pretty time-consuming +_torch_distributed_available = torch.distributed.is_available() + + +def _is_package_available(pkg_name, metadata_name=None): + # Check we're not importing a "pkg_name" directory somewhere but the actual library by trying to grab the version + package_exists = importlib.util.find_spec(pkg_name) is not None + if package_exists: + try: + # Some libraries have different names in the metadata + _ = importlib.metadata.metadata(pkg_name if metadata_name is None else metadata_name) + return True + except importlib.metadata.PackageNotFoundError: + return False + + +def is_torch_distributed_available() -> bool: + return _torch_distributed_available + + +def is_xccl_available(): + if is_torch_version(">=", "2.7.0"): + return torch.distributed.distributed_c10d.is_xccl_available() + if is_ipex_available(): + return False + return False + + +def is_ccl_available(): + try: + pass + except ImportError: + print( + "Intel(R) oneCCL Bindings for PyTorch* is required to run DDP on Intel(R) XPUs, but it is not" + " detected. If you see \"ValueError: Invalid backend: 'ccl'\" error, please install Intel(R) oneCCL" + " Bindings for PyTorch*." + ) + return importlib.util.find_spec("oneccl_bindings_for_pytorch") is not None + + +def get_ccl_version(): + return importlib.metadata.version("oneccl_bind_pt") + + +def is_import_timer_available(): + return _is_package_available("import_timer") + + +def is_pynvml_available(): + return _is_package_available("pynvml") or _is_package_available("pynvml", "nvidia-ml-py") + + +def is_pytest_available(): + return _is_package_available("pytest") + + +def is_msamp_available(): + return _is_package_available("msamp", "ms-amp") + + +def is_schedulefree_available(): + return _is_package_available("schedulefree") + + +def is_transformer_engine_available(): + if is_hpu_available(): + return _is_package_available("intel_transformer_engine", "intel-transformer-engine") + else: + return _is_package_available("transformer_engine", "transformer-engine") + + +def is_transformer_engine_mxfp8_available(): + if _is_package_available("transformer_engine", "transformer-engine"): + import transformer_engine.pytorch as te + + return te.fp8.check_mxfp8_support()[0] + return False + + +def is_lomo_available(): + return _is_package_available("lomo_optim") + + +def is_cuda_available(): + """ + Checks if `cuda` is available via an `nvml-based` check which won't trigger the drivers and leave cuda + uninitialized. + """ + with patch_environment(PYTORCH_NVML_BASED_CUDA_CHECK="1"): + available = torch.cuda.is_available() + + return available + + +@lru_cache +def is_torch_xla_available(check_is_tpu=False, check_is_gpu=False): + """ + Check if `torch_xla` is available. To train a native pytorch job in an environment with torch xla installed, set + the USE_TORCH_XLA to false. + """ + assert not (check_is_tpu and check_is_gpu), "The check_is_tpu and check_is_gpu cannot both be true." + + if not _torch_xla_available: + return False + elif check_is_gpu: + return torch_xla.runtime.device_type() in ["GPU", "CUDA"] + elif check_is_tpu: + return torch_xla.runtime.device_type() == "TPU" + + return True + + +def is_torchao_available(): + package_exists = _is_package_available("torchao") + if package_exists: + torchao_version = version.parse(importlib.metadata.version("torchao")) + return compare_versions(torchao_version, ">=", "0.6.1") + return False + + +def is_deepspeed_available(): + return _is_package_available("deepspeed") + + +def is_pippy_available(): + return is_torch_version(">=", "2.4.0") + + +def is_bf16_available(ignore_tpu=False): + "Checks if bf16 is supported, optionally ignoring the TPU" + if is_torch_xla_available(check_is_tpu=True): + return not ignore_tpu + if is_cuda_available(): + return torch.cuda.is_bf16_supported() + if is_mlu_available(): + return torch.mlu.is_bf16_supported() + if is_xpu_available(): + return torch.xpu.is_bf16_supported() + if is_mps_available(): + return torch.backends.mps.is_macos_or_newer(14, 0) + return True + + +def is_fp16_available(): + "Checks if fp16 is supported" + if is_habana_gaudi1(): + return False + + return True + + +def is_fp8_available(): + "Checks if fp8 is supported" + return is_msamp_available() or is_transformer_engine_available() or is_torchao_available() + + +def is_4bit_bnb_available(): + package_exists = _is_package_available("bitsandbytes") + if package_exists: + bnb_version = version.parse(importlib.metadata.version("bitsandbytes")) + return compare_versions(bnb_version, ">=", "0.39.0") + return False + + +def is_8bit_bnb_available(): + package_exists = _is_package_available("bitsandbytes") + if package_exists: + bnb_version = version.parse(importlib.metadata.version("bitsandbytes")) + return compare_versions(bnb_version, ">=", "0.37.2") + return False + + +def is_bnb_available(min_version=None): + package_exists = _is_package_available("bitsandbytes") + if package_exists and min_version is not None: + bnb_version = version.parse(importlib.metadata.version("bitsandbytes")) + return compare_versions(bnb_version, ">=", min_version) + else: + return package_exists + + +def is_bitsandbytes_multi_backend_available(): + if not is_bnb_available(): + return False + import bitsandbytes as bnb + + return "multi_backend" in getattr(bnb, "features", set()) + + +def is_torchvision_available(): + return _is_package_available("torchvision") + + +def is_megatron_lm_available(): + if str_to_bool(os.environ.get("ACCELERATE_USE_MEGATRON_LM", "False")) == 1: + if importlib.util.find_spec("megatron") is not None: + try: + megatron_version = parse(importlib.metadata.version("megatron-core")) + if compare_versions(megatron_version, ">=", "0.8.0"): + return importlib.util.find_spec(".training", "megatron") + except Exception as e: + warnings.warn(f"Parse Megatron version failed. Exception:{e}") + return False + + +def is_transformers_available(): + return _is_package_available("transformers") + + +def is_datasets_available(): + return _is_package_available("datasets") + + +def is_peft_available(): + return _is_package_available("peft") + + +def is_timm_available(): + return _is_package_available("timm") + + +def is_triton_available(): + if is_xpu_available(): + return _is_package_available("triton", "pytorch-triton-xpu") + return _is_package_available("triton") + + +def is_aim_available(): + package_exists = _is_package_available("aim") + if package_exists: + aim_version = version.parse(importlib.metadata.version("aim")) + return compare_versions(aim_version, "<", "4.0.0") + return False + + +def is_tensorboard_available(): + return _is_package_available("tensorboard") or _is_package_available("tensorboardX") + + +def is_wandb_available(): + return _is_package_available("wandb") + + +def is_comet_ml_available(): + return _is_package_available("comet_ml") + + +def is_swanlab_available(): + return _is_package_available("swanlab") + + +def is_trackio_available(): + return sys.version_info >= (3, 10) and _is_package_available("trackio") + + +def is_boto3_available(): + return _is_package_available("boto3") + + +def is_rich_available(): + if _is_package_available("rich"): + return parse_flag_from_env("ACCELERATE_ENABLE_RICH", False) + return False + + +def is_sagemaker_available(): + return _is_package_available("sagemaker") + + +def is_tqdm_available(): + return _is_package_available("tqdm") + + +def is_clearml_available(): + return _is_package_available("clearml") + + +def is_pandas_available(): + return _is_package_available("pandas") + + +def is_matplotlib_available(): + return _is_package_available("matplotlib") + + +def is_mlflow_available(): + if _is_package_available("mlflow"): + return True + + if importlib.util.find_spec("mlflow") is not None: + try: + _ = importlib.metadata.metadata("mlflow-skinny") + return True + except importlib.metadata.PackageNotFoundError: + return False + return False + + +def is_mps_available(min_version="1.12"): + "Checks if MPS device is available. The minimum version required is 1.12." + # With torch 1.12, you can use torch.backends.mps + # With torch 2.0.0, you can use torch.mps + return is_torch_version(">=", min_version) and torch.backends.mps.is_available() and torch.backends.mps.is_built() + + +def is_ipex_available(): + "Checks if ipex is installed." + + def get_major_and_minor_from_version(full_version): + return str(version.parse(full_version).major) + "." + str(version.parse(full_version).minor) + + _torch_version = importlib.metadata.version("torch") + if importlib.util.find_spec("intel_extension_for_pytorch") is None: + return False + _ipex_version = "N/A" + try: + _ipex_version = importlib.metadata.version("intel_extension_for_pytorch") + except importlib.metadata.PackageNotFoundError: + return False + torch_major_and_minor = get_major_and_minor_from_version(_torch_version) + ipex_major_and_minor = get_major_and_minor_from_version(_ipex_version) + if torch_major_and_minor != ipex_major_and_minor: + warnings.warn( + f"Intel Extension for PyTorch {ipex_major_and_minor} needs to work with PyTorch {ipex_major_and_minor}.*," + f" but PyTorch {_torch_version} is found. Please switch to the matching version and run again." + ) + return False + return True + + +@lru_cache +def is_mlu_available(check_device=False): + """ + Checks if `mlu` is available via an `cndev-based` check which won't trigger the drivers and leave mlu + uninitialized. + """ + if importlib.util.find_spec("torch_mlu") is None: + return False + + import torch_mlu # noqa: F401 + + with patch_environment(PYTORCH_CNDEV_BASED_MLU_CHECK="1"): + available = torch.mlu.is_available() + + return available + + +@lru_cache +def is_musa_available(check_device=False): + "Checks if `torch_musa` is installed and potentially if a MUSA is in the environment" + if importlib.util.find_spec("torch_musa") is None: + return False + + import torch_musa # noqa: F401 + + if check_device: + try: + # Will raise a RuntimeError if no MUSA is found + _ = torch.musa.device_count() + return torch.musa.is_available() + except RuntimeError: + return False + return hasattr(torch, "musa") and torch.musa.is_available() + + +@lru_cache +def is_npu_available(check_device=False): + "Checks if `torch_npu` is installed and potentially if a NPU is in the environment" + if importlib.util.find_spec("torch_npu") is None: + return False + + # NOTE: importing torch_npu may raise error in some envs + # e.g. inside cpu-only container with torch_npu installed + try: + import torch_npu # noqa: F401 + except Exception: + return False + + if check_device: + try: + # Will raise a RuntimeError if no NPU is found + _ = torch.npu.device_count() + return torch.npu.is_available() + except RuntimeError: + return False + return hasattr(torch, "npu") and torch.npu.is_available() + + +@lru_cache +def is_sdaa_available(check_device=False): + "Checks if `torch_sdaa` is installed and potentially if a SDAA is in the environment" + if importlib.util.find_spec("torch_sdaa") is None: + return False + + import torch_sdaa # noqa: F401 + + if check_device: + try: + # Will raise a RuntimeError if no NPU is found + _ = torch.sdaa.device_count() + return torch.sdaa.is_available() + except RuntimeError: + return False + return hasattr(torch, "sdaa") and torch.sdaa.is_available() + + +@lru_cache +def is_hpu_available(init_hccl=False): + "Checks if `torch.hpu` is installed and potentially if a HPU is in the environment" + if ( + importlib.util.find_spec("habana_frameworks") is None + or importlib.util.find_spec("habana_frameworks.torch") is None + ): + return False + + import habana_frameworks.torch # noqa: F401 + + if init_hccl: + import habana_frameworks.torch.distributed.hccl as hccl # noqa: F401 + + return hasattr(torch, "hpu") and torch.hpu.is_available() + + +def is_habana_gaudi1(): + if is_hpu_available(): + import habana_frameworks.torch.utils.experimental as htexp # noqa: F401 + + if htexp._get_device_type() == htexp.synDeviceType.synDeviceGaudi: + return True + + return False + + +@lru_cache +def is_xpu_available(check_device=False): + """ + Checks if XPU acceleration is available either via `intel_extension_for_pytorch` or via stock PyTorch (>=2.4) and + potentially if a XPU is in the environment + """ + + if is_ipex_available(): + import intel_extension_for_pytorch # noqa: F401 + else: + if is_torch_version("<=", "2.3"): + return False + + if check_device: + try: + # Will raise a RuntimeError if no XPU is found + _ = torch.xpu.device_count() + return torch.xpu.is_available() + except RuntimeError: + return False + return hasattr(torch, "xpu") and torch.xpu.is_available() + + +def is_dvclive_available(): + return _is_package_available("dvclive") + + +def is_torchdata_available(): + return _is_package_available("torchdata") + + +# TODO: Remove this function once stateful_dataloader is a stable feature in torchdata. +def is_torchdata_stateful_dataloader_available(): + package_exists = _is_package_available("torchdata") + if package_exists: + torchdata_version = version.parse(importlib.metadata.version("torchdata")) + return compare_versions(torchdata_version, ">=", "0.8.0") + return False + + +def torchao_required(func): + """ + A decorator that ensures the decorated function is only called when torchao is available. + """ + + @wraps(func) + def wrapper(*args, **kwargs): + if not is_torchao_available(): + raise ImportError( + "`torchao` is not available, please install it before calling this function via `pip install torchao`." + ) + return func(*args, **kwargs) + + return wrapper + + +# TODO: Rework this into `utils.deepspeed` and migrate the "core" chunks into `accelerate.deepspeed` +def deepspeed_required(func): + """ + A decorator that ensures the decorated function is only called when deepspeed is enabled. + """ + + @wraps(func) + def wrapper(*args, **kwargs): + from accelerate.state import AcceleratorState + from accelerate.utils.dataclasses import DistributedType + + if AcceleratorState._shared_state != {} and AcceleratorState().distributed_type != DistributedType.DEEPSPEED: + raise ValueError( + "DeepSpeed is not enabled, please make sure that an `Accelerator` is configured for `deepspeed` " + "before calling this function." + ) + return func(*args, **kwargs) + + return wrapper + + +def is_weights_only_available(): + # Weights only with allowlist was added in 2.4.0 + # ref: https://github.com/pytorch/pytorch/pull/124331 + return is_torch_version(">=", "2.4.0") + + +def is_numpy_available(min_version="1.25.0"): + numpy_version = parse(importlib.metadata.version("numpy")) + return compare_versions(numpy_version, ">=", min_version) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/launch.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/launch.py new file mode 100644 index 0000000000000000000000000000000000000000..6182bd40d6f29086a0b01816569e147423c46192 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/launch.py @@ -0,0 +1,781 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse +import os +import subprocess +import sys +import warnings +from ast import literal_eval +from shutil import which +from typing import Any + +import torch + +from ..commands.config.config_args import SageMakerConfig +from ..utils import ( + DynamoBackend, + PrecisionType, + is_ccl_available, + is_fp8_available, + is_hpu_available, + is_ipex_available, + is_mlu_available, + is_musa_available, + is_npu_available, + is_sdaa_available, + is_torch_xla_available, + is_xpu_available, +) +from ..utils.constants import DEEPSPEED_MULTINODE_LAUNCHERS +from ..utils.other import get_free_port, is_port_in_use, merge_dicts +from ..utils.versions import compare_versions +from .dataclasses import DistributedType, SageMakerDistributedType + + +def _filter_args(args, parser, default_args=[]): + """ + Filters out all `accelerate` specific args + """ + new_args, _ = parser.parse_known_args(default_args) + for key, value in vars(args).items(): + if key in vars(new_args).keys(): + setattr(new_args, key, value) + return new_args + + +def _get_mpirun_args(): + """ + Determines the executable and argument names for mpirun, based on the type of install. The supported MPI programs + are: OpenMPI, Intel MPI, or MVAPICH. + + Returns: Program name and arg names for hostfile, num processes, and processes per node + """ + # Find the MPI program name + mpi_apps = [x for x in ["mpirun", "mpiexec"] if which(x)] + + if len(mpi_apps) == 0: + raise OSError("mpirun or mpiexec were not found. Ensure that Intel MPI, Open MPI, or MVAPICH are installed.") + + # Call the app with the --version flag to determine which MPI app is installed + mpi_app = mpi_apps[0] + mpirun_version = subprocess.check_output([mpi_app, "--version"]) + + if b"Open MPI" in mpirun_version: + return mpi_app, "--hostfile", "-n", "--npernode", "--bind-to" + else: + # Intel MPI and MVAPICH both use the same arg names + return mpi_app, "-f", "-n", "-ppn", "" + + +def setup_fp8_env(args: argparse.Namespace, current_env: dict[str, str]): + """ + Setup the FP8 environment variables. + """ + prefix = "ACCELERATE_" + for arg in vars(args): + if arg.startswith("fp8_"): + value = getattr(args, arg) + if value is not None: + if arg == "fp8_override_linear_precision": + current_env[prefix + "FP8_OVERRIDE_FPROP"] = str(value[0]) + current_env[prefix + "FP8_OVERRIDE_DGRAD"] = str(value[1]) + current_env[prefix + "FP8_OVERRIDE_WGRAD"] = str(value[2]) + else: + current_env[f"{prefix}{arg.upper()}"] = str(getattr(args, arg)) + return current_env + + +def prepare_simple_launcher_cmd_env(args: argparse.Namespace) -> tuple[list[str], dict[str, str]]: + """ + Prepares and returns the command list and an environment with the correct simple launcher environment variables. + """ + cmd = [] + if args.no_python and args.module: + raise ValueError("--module and --no_python cannot be used together") + + num_processes = getattr(args, "num_processes", None) + num_machines = args.num_machines + if args.mpirun_hostfile is not None: + mpi_app_name, hostfile_arg, num_proc_arg, proc_per_node_arg, bind_to_arg = _get_mpirun_args() + bind_to = getattr(args, "bind-to", "socket") + nproc_per_node = str(num_processes // num_machines) if num_processes and num_machines else "1" + cmd += [ + mpi_app_name, + hostfile_arg, + args.mpirun_hostfile, + proc_per_node_arg, + nproc_per_node, + ] + if num_processes: + cmd += [num_proc_arg, str(num_processes)] + if bind_to_arg: + cmd += [bind_to_arg, bind_to] + if not args.no_python: + cmd.append(sys.executable) + if args.module: + cmd.append("-m") + cmd.append(args.training_script) + cmd.extend(args.training_script_args) + + current_env = os.environ.copy() + current_env["ACCELERATE_USE_CPU"] = str(args.cpu or args.use_cpu) + if args.debug: + current_env["ACCELERATE_DEBUG_MODE"] = "true" + if args.gpu_ids != "all" and args.gpu_ids is not None: + if is_xpu_available(): + current_env["ZE_AFFINITY_MASK"] = args.gpu_ids + elif is_mlu_available(): + current_env["MLU_VISIBLE_DEVICES"] = args.gpu_ids + elif is_sdaa_available(): + current_env["SDAA_VISIBLE_DEVICES"] = args.gpu_ids + elif is_musa_available(): + current_env["MUSA_VISIBLE_DEVICES"] = args.gpu_ids + elif is_npu_available(): + current_env["ASCEND_RT_VISIBLE_DEVICES"] = args.gpu_ids + elif is_hpu_available(): + current_env["HABANA_VISIBLE_MODULES"] = args.gpu_ids + else: + current_env["CUDA_VISIBLE_DEVICES"] = args.gpu_ids + if num_machines > 1: + assert args.main_process_ip is not None, ( + "When using multiple machines, you need to specify the main process IP." + ) + assert args.main_process_port is not None, ( + "When using multiple machines, you need to specify the main process port." + ) + + ccl_worker_count = getattr(args, "mpirun_ccl", 0) if is_ccl_available() else 0 + if (num_processes is not None and num_processes > 1) or num_machines > 1: + current_env["MASTER_ADDR"] = args.main_process_ip if args.main_process_ip is not None else "127.0.0.1" + current_env["MASTER_PORT"] = str(args.main_process_port) if args.main_process_port is not None else "29500" + current_env["CCL_WORKER_COUNT"] = str(ccl_worker_count) + if current_env["ACCELERATE_USE_CPU"]: + current_env["KMP_AFFINITY"] = "granularity=fine,compact,1,0" + current_env["KMP_BLOCKTIME"] = str(1) + + try: + mixed_precision = PrecisionType(args.mixed_precision.lower()) + except ValueError: + raise ValueError( + f"Unknown mixed_precision mode: {args.mixed_precision.lower()}. Choose between {PrecisionType.list()}." + ) + + current_env["ACCELERATE_MIXED_PRECISION"] = str(mixed_precision) + if args.mixed_precision.lower() == "fp8": + if not is_fp8_available(): + raise RuntimeError( + "FP8 is not available on this machine. Please ensure that either Transformer Engine, MSAMP or torchao is installed." + ) + current_env = setup_fp8_env(args, current_env) + + try: + dynamo_backend = DynamoBackend(args.dynamo_backend.upper()) + except ValueError: + raise ValueError( + f"Unknown dynamo backend: {args.dynamo_backend.upper()}. Choose between {DynamoBackend.list()}." + ) + current_env["ACCELERATE_DYNAMO_BACKEND"] = dynamo_backend.value + current_env["ACCELERATE_DYNAMO_MODE"] = args.dynamo_mode + current_env["ACCELERATE_DYNAMO_USE_FULLGRAPH"] = str(args.dynamo_use_fullgraph) + current_env["ACCELERATE_DYNAMO_USE_DYNAMIC"] = str(args.dynamo_use_dynamic) + current_env["ACCELERATE_DYNAMO_USE_REGIONAL_COMPILATION"] = str(args.dynamo_use_regional_compilation) + + current_env["OMP_NUM_THREADS"] = str(args.num_cpu_threads_per_process) + if is_ipex_available(): + current_env["ACCELERATE_USE_IPEX"] = str(args.ipex).lower() + if args.enable_cpu_affinity: + current_env["ACCELERATE_CPU_AFFINITY"] = "1" + return cmd, current_env + + +def prepare_multi_gpu_env(args: argparse.Namespace) -> dict[str, str]: + """ + Prepares and returns an environment with the correct multi-GPU environment variables. + """ + # get free port and update configurations + if args.main_process_port == 0: + args.main_process_port = get_free_port() + + elif args.main_process_port is None: + args.main_process_port = 29500 + + num_processes = args.num_processes + num_machines = args.num_machines + main_process_ip = args.main_process_ip + main_process_port = args.main_process_port + if num_machines > 1: + args.nproc_per_node = str(num_processes // num_machines) + args.nnodes = str(num_machines) + args.node_rank = int(args.machine_rank) + if getattr(args, "same_network", False): + args.master_addr = str(main_process_ip) + args.master_port = str(main_process_port) + else: + args.rdzv_endpoint = f"{main_process_ip}:{main_process_port}" + else: + args.nproc_per_node = str(num_processes) + if main_process_port is not None: + args.master_port = str(main_process_port) + + # only need to check port availability in main process, in case we have to start multiple launchers on the same machine + # for some reasons like splitting log files. + need_port_check = num_machines <= 1 or int(args.machine_rank) == 0 + if need_port_check and is_port_in_use(main_process_port): + if num_machines <= 1: + args.standalone = True + warnings.warn( + f"Port `{main_process_port}` is already in use. " + "Accelerate will attempt to launch in a standalone-like mode by finding an open port automatically for this session. " + "If this current attempt fails, or for more control in future runs, please specify a different port " + "(e.g., `--main_process_port `) or use `--main_process_port 0` for automatic selection " + "in your launch command or Accelerate config file." + ) + else: + raise ConnectionError( + f"Tried to launch distributed communication on port `{main_process_port}`, but another process is utilizing it. " + "Please specify a different port (such as using the `--main_process_port` flag or specifying a different `main_process_port` in your config file)" + " and rerun your script. To automatically use the next open port (on a single node), you can set this to `0`." + ) + + if args.module and args.no_python: + raise ValueError("--module and --no_python cannot be used together") + elif args.module: + args.module = True + elif args.no_python: + args.no_python = True + + current_env = os.environ.copy() + if args.debug: + current_env["ACCELERATE_DEBUG_MODE"] = "true" + gpu_ids = getattr(args, "gpu_ids", "all") + if gpu_ids != "all" and args.gpu_ids is not None: + if is_xpu_available(): + current_env["ZE_AFFINITY_MASK"] = gpu_ids + elif is_mlu_available(): + current_env["MLU_VISIBLE_DEVICES"] = gpu_ids + elif is_sdaa_available(): + current_env["SDAA_VISIBLE_DEVICES"] = gpu_ids + elif is_musa_available(): + current_env["MUSA_VISIBLE_DEVICES"] = gpu_ids + elif is_npu_available(): + current_env["ASCEND_RT_VISIBLE_DEVICES"] = gpu_ids + elif is_hpu_available(): + current_env["HABANA_VISIBLE_MODULES"] = gpu_ids + else: + current_env["CUDA_VISIBLE_DEVICES"] = gpu_ids + mixed_precision = args.mixed_precision.lower() + try: + mixed_precision = PrecisionType(mixed_precision) + except ValueError: + raise ValueError(f"Unknown mixed_precision mode: {mixed_precision}. Choose between {PrecisionType.list()}.") + + current_env["ACCELERATE_MIXED_PRECISION"] = str(mixed_precision) + if args.mixed_precision.lower() == "fp8": + if not is_fp8_available(): + raise RuntimeError( + "FP8 is not available on this machine. Please ensure that either Transformer Engine, MSAMP or torchao is installed." + ) + current_env = setup_fp8_env(args, current_env) + + try: + dynamo_backend = DynamoBackend(args.dynamo_backend.upper()) + except ValueError: + raise ValueError( + f"Unknown dynamo backend: {args.dynamo_backend.upper()}. Choose between {DynamoBackend.list()}." + ) + current_env["ACCELERATE_DYNAMO_BACKEND"] = dynamo_backend.value + current_env["ACCELERATE_DYNAMO_MODE"] = args.dynamo_mode + current_env["ACCELERATE_DYNAMO_USE_FULLGRAPH"] = str(args.dynamo_use_fullgraph) + current_env["ACCELERATE_DYNAMO_USE_DYNAMIC"] = str(args.dynamo_use_dynamic) + current_env["ACCELERATE_DYNAMO_USE_REGIONAL_COMPILATION"] = str(args.dynamo_use_regional_compilation) + + if args.use_fsdp: + current_env["ACCELERATE_USE_FSDP"] = "true" + if args.fsdp_cpu_ram_efficient_loading and not args.fsdp_sync_module_states: + raise ValueError("When using `--fsdp_cpu_ram_efficient_loading` set `--fsdp_sync_module_states` to `True`") + + current_env["FSDP_VERSION"] = str(args.fsdp_version) if hasattr(args, "fsdp_version") else "1" + + # For backwards compatibility, we support this in launched scripts, + # however, we do not ask users for this in `accelerate config` CLI + current_env["FSDP_SHARDING_STRATEGY"] = str(args.fsdp_sharding_strategy) + + current_env["FSDP_RESHARD_AFTER_FORWARD"] = str(args.fsdp_reshard_after_forward).lower() + current_env["FSDP_OFFLOAD_PARAMS"] = str(args.fsdp_offload_params).lower() + current_env["FSDP_MIN_NUM_PARAMS"] = str(args.fsdp_min_num_params) + if args.fsdp_auto_wrap_policy is not None: + current_env["FSDP_AUTO_WRAP_POLICY"] = str(args.fsdp_auto_wrap_policy) + if args.fsdp_transformer_layer_cls_to_wrap is not None: + current_env["FSDP_TRANSFORMER_CLS_TO_WRAP"] = str(args.fsdp_transformer_layer_cls_to_wrap) + if args.fsdp_backward_prefetch is not None: + current_env["FSDP_BACKWARD_PREFETCH"] = str(args.fsdp_backward_prefetch) + if args.fsdp_state_dict_type is not None: + current_env["FSDP_STATE_DICT_TYPE"] = str(args.fsdp_state_dict_type) + current_env["FSDP_FORWARD_PREFETCH"] = str(args.fsdp_forward_prefetch).lower() + current_env["FSDP_USE_ORIG_PARAMS"] = str(args.fsdp_use_orig_params).lower() + current_env["FSDP_CPU_RAM_EFFICIENT_LOADING"] = str(args.fsdp_cpu_ram_efficient_loading).lower() + current_env["FSDP_SYNC_MODULE_STATES"] = str(args.fsdp_sync_module_states).lower() + current_env["FSDP_ACTIVATION_CHECKPOINTING"] = str(args.fsdp_activation_checkpointing).lower() + if getattr(args, "fsdp_ignored_modules", None) is not None: + current_env["FSDP_IGNORED_MODULES"] = str(args.fsdp_ignored_modules) + + if args.use_megatron_lm: + prefix = "MEGATRON_LM_" + current_env["ACCELERATE_USE_MEGATRON_LM"] = "true" + current_env[prefix + "TP_DEGREE"] = str(args.megatron_lm_tp_degree) + current_env[prefix + "PP_DEGREE"] = str(args.megatron_lm_pp_degree) + current_env[prefix + "GRADIENT_CLIPPING"] = str(args.megatron_lm_gradient_clipping) + if args.megatron_lm_num_micro_batches is not None: + current_env[prefix + "NUM_MICRO_BATCHES"] = str(args.megatron_lm_num_micro_batches) + if args.megatron_lm_sequence_parallelism is not None: + current_env[prefix + "SEQUENCE_PARALLELISM"] = str(args.megatron_lm_sequence_parallelism) + if args.megatron_lm_recompute_activations is not None: + current_env[prefix + "RECOMPUTE_ACTIVATIONS"] = str(args.megatron_lm_recompute_activations) + if args.megatron_lm_use_distributed_optimizer is not None: + current_env[prefix + "USE_DISTRIBUTED_OPTIMIZER"] = str(args.megatron_lm_use_distributed_optimizer) + + current_env["OMP_NUM_THREADS"] = str(args.num_cpu_threads_per_process) + if args.enable_cpu_affinity: + current_env["ACCELERATE_CPU_AFFINITY"] = "1" + + if args.use_parallelism_config: + current_env = prepare_extend_env_parallelism_config(args, current_env) + + return current_env + + +def prepare_extend_env_parallelism_config( + args: argparse.Namespace, current_env: dict +) -> tuple[list[str], dict[str, str]]: + """ + Extends `current_env` with context parallelism env vars if any have been set + """ + + prefix = "PARALLELISM_CONFIG_" + + current_env["ACCELERATE_USE_PARALLELISM_CONFIG"] = "true" + current_env[prefix + "DP_REPLICATE_SIZE"] = str(args.parallelism_config_dp_replicate_size) + current_env[prefix + "DP_SHARD_SIZE"] = str(args.parallelism_config_dp_shard_size) + current_env[prefix + "TP_SIZE"] = str(args.parallelism_config_tp_size) + current_env[prefix + "CP_SIZE"] = str(args.parallelism_config_cp_size) + current_env[prefix + "CP_BACKEND"] = str(args.parallelism_config_cp_backend) + current_env[prefix + "SP_SIZE"] = str(args.parallelism_config_sp_size) + current_env[prefix + "SP_BACKEND"] = str(args.parallelism_config_sp_backend) + if args.parallelism_config_cp_size > 1: + current_env[prefix + "CP_COMM_STRATEGY"] = str(args.parallelism_config_cp_comm_strategy) + if args.parallelism_config_sp_size > 1: + current_env[prefix + "SP_SEQ_LENGTH"] = str(args.parallelism_config_sp_seq_length) + current_env[prefix + "SP_SEQ_LENGTH_IS_VARIABLE"] = str(args.parallelism_config_sp_seq_length_is_variable) + current_env[prefix + "SP_ATTN_IMPLEMENTATION"] = str(args.parallelism_config_sp_attn_implementation) + + return current_env + + +def prepare_deepspeed_cmd_env(args: argparse.Namespace) -> tuple[list[str], dict[str, str]]: + """ + Prepares and returns the command list and an environment with the correct DeepSpeed environment variables. + """ + # get free port and update configurations + if args.main_process_port == 0: + args.main_process_port = get_free_port() + + elif args.main_process_port is None: + args.main_process_port = 29500 + + num_processes = args.num_processes + num_machines = args.num_machines + main_process_ip = args.main_process_ip + main_process_port = args.main_process_port + cmd = None + + # make sure launcher is not None + if args.deepspeed_multinode_launcher is None: + # set to default pdsh + args.deepspeed_multinode_launcher = DEEPSPEED_MULTINODE_LAUNCHERS[0] + + if num_machines > 1 and args.deepspeed_multinode_launcher != DEEPSPEED_MULTINODE_LAUNCHERS[1]: + cmd = ["deepspeed"] + cmd.extend(["--hostfile", str(args.deepspeed_hostfile)]) + if args.deepspeed_multinode_launcher == "nossh": + if compare_versions("deepspeed", "<", "0.14.5"): + raise ValueError("nossh launcher requires DeepSpeed >= 0.14.5") + cmd.extend(["--node_rank", str(args.machine_rank), "--no_ssh"]) + else: + cmd.extend(["--no_local_rank", "--launcher", str(args.deepspeed_multinode_launcher)]) + if args.deepspeed_exclusion_filter is not None: + cmd.extend( + [ + "--exclude", + str(args.deepspeed_exclusion_filter), + ] + ) + elif args.deepspeed_inclusion_filter is not None: + cmd.extend( + [ + "--include", + str(args.deepspeed_inclusion_filter), + ] + ) + else: + cmd.extend(["--num_gpus", str(args.num_processes // args.num_machines)]) + if main_process_ip: + cmd.extend(["--master_addr", str(main_process_ip)]) + cmd.extend(["--master_port", str(main_process_port)]) + if args.module and args.no_python: + raise ValueError("--module and --no_python cannot be used together") + elif args.module: + cmd.append("--module") + elif args.no_python: + cmd.append("--no_python") + cmd.append(args.training_script) + cmd.extend(args.training_script_args) + elif num_machines > 1 and args.deepspeed_multinode_launcher == DEEPSPEED_MULTINODE_LAUNCHERS[1]: + args.nproc_per_node = str(num_processes // num_machines) + args.nnodes = str(num_machines) + args.node_rank = int(args.machine_rank) + if getattr(args, "same_network", False): + args.master_addr = str(main_process_ip) + args.master_port = str(main_process_port) + else: + args.rdzv_endpoint = f"{main_process_ip}:{main_process_port}" + else: + args.nproc_per_node = str(num_processes) + if main_process_port is not None: + args.master_port = str(main_process_port) + + # only need to check port availability in main process, in case we have to start multiple launchers on the same machine + # for some reasons like splitting log files. + need_port_check = num_machines <= 1 or int(args.machine_rank) == 0 + if need_port_check and is_port_in_use(main_process_port): + if num_machines <= 1: + args.standalone = True + warnings.warn( + f"Port `{main_process_port}` is already in use. " + "Accelerate will attempt to launch in a standalone-like mode by finding an open port automatically for this session. " + "If this current attempt fails, or for more control in future runs, please specify a different port " + "(e.g., `--main_process_port `) or use `--main_process_port 0` for automatic selection " + "in your launch command or Accelerate config file." + ) + else: + raise ConnectionError( + f"Tried to launch distributed communication on port `{main_process_port}`, but another process is utilizing it. " + "Please specify a different port (such as using the `--main_process_port` flag or specifying a different `main_process_port` in your config file)" + " and rerun your script. To automatically use the next open port (on a single node), you can set this to `0`." + ) + + if args.module and args.no_python: + raise ValueError("--module and --no_python cannot be used together") + elif args.module: + args.module = True + elif args.no_python: + args.no_python = True + + current_env = os.environ.copy() + if args.debug: + current_env["ACCELERATE_DEBUG_MODE"] = "true" + gpu_ids = getattr(args, "gpu_ids", "all") + if gpu_ids != "all" and args.gpu_ids is not None: + if is_xpu_available(): + current_env["ZE_AFFINITY_MASK"] = gpu_ids + elif is_mlu_available(): + current_env["MLU_VISIBLE_DEVICES"] = gpu_ids + elif is_sdaa_available(): + current_env["SDAA_VISIBLE_DEVICES"] = gpu_ids + elif is_musa_available(): + current_env["MUSA_VISIBLE_DEVICES"] = gpu_ids + elif is_npu_available(): + current_env["ASCEND_RT_VISIBLE_DEVICES"] = gpu_ids + elif is_hpu_available(): + current_env["HABANA_VISIBLE_MODULES"] = gpu_ids + else: + current_env["CUDA_VISIBLE_DEVICES"] = gpu_ids + try: + mixed_precision = PrecisionType(args.mixed_precision.lower()) + except ValueError: + raise ValueError( + f"Unknown mixed_precision mode: {args.mixed_precision.lower()}. Choose between {PrecisionType.list()}." + ) + + current_env["PYTHONPATH"] = env_var_path_add("PYTHONPATH", os.path.abspath(".")) + current_env["ACCELERATE_MIXED_PRECISION"] = str(mixed_precision) + if args.mixed_precision.lower() == "fp8": + if not is_fp8_available(): + raise RuntimeError( + "FP8 is not available on this machine. Please ensure that either Transformer Engine, MSAMP or torchao is installed." + ) + current_env = setup_fp8_env(args, current_env) + current_env["ACCELERATE_CONFIG_DS_FIELDS"] = str(args.deepspeed_fields_from_accelerate_config).lower() + current_env["ACCELERATE_USE_DEEPSPEED"] = "true" + if args.zero_stage is not None: + current_env["ACCELERATE_DEEPSPEED_ZERO_STAGE"] = str(args.zero_stage) + if args.gradient_accumulation_steps is not None: + current_env["ACCELERATE_GRADIENT_ACCUMULATION_STEPS"] = str(args.gradient_accumulation_steps) + if args.gradient_clipping is not None: + current_env["ACCELERATE_GRADIENT_CLIPPING"] = str(args.gradient_clipping).lower() + if args.offload_optimizer_device is not None: + current_env["ACCELERATE_DEEPSPEED_OFFLOAD_OPTIMIZER_DEVICE"] = str(args.offload_optimizer_device).lower() + if args.offload_param_device is not None: + current_env["ACCELERATE_DEEPSPEED_OFFLOAD_PARAM_DEVICE"] = str(args.offload_param_device).lower() + if args.zero3_init_flag is not None: + current_env["ACCELERATE_DEEPSPEED_ZERO3_INIT"] = str(args.zero3_init_flag).lower() + if args.zero3_save_16bit_model is not None: + current_env["ACCELERATE_DEEPSPEED_ZERO3_SAVE_16BIT_MODEL"] = str(args.zero3_save_16bit_model).lower() + if args.deepspeed_config_file is not None: + current_env["ACCELERATE_DEEPSPEED_CONFIG_FILE"] = str(args.deepspeed_config_file) + if args.enable_cpu_affinity: + current_env["ACCELERATE_CPU_AFFINITY"] = "1" + if args.deepspeed_moe_layer_cls_names is not None: + current_env["ACCELERATE_DEEPSPEED_MOE_LAYER_CLS_NAMES"] = str(args.deepspeed_moe_layer_cls_names) + + if args.use_parallelism_config: + current_env = prepare_extend_env_parallelism_config(args, current_env) + + return cmd, current_env + + +def prepare_tpu( + args: argparse.Namespace, current_env: dict[str, str], pod: bool = False +) -> tuple[argparse.Namespace, dict[str, str]]: + """ + Prepares and returns an environment with the correct TPU environment variables. + """ + if args.mixed_precision == "bf16" and is_torch_xla_available(check_is_tpu=True): + if args.downcast_bf16: + current_env["XLA_DOWNCAST_BF16"] = "1" + else: + current_env["XLA_USE_BF16"] = "1" + if args.debug: + current_env["ACCELERATE_DEBUG_MODE"] = "true" + if pod: + # Take explicit args and set them up for XLA + args.vm = args.tpu_vm + args.tpu = args.tpu_name + return args, current_env + + +def _convert_nargs_to_dict(nargs: list[str]) -> dict[str, str]: + if len(nargs) < 0: + return {} + # helper function to infer type for argsparser + + def _infer_type(s): + try: + s = float(s) + + if s // 1 == s: + return int(s) + return s + except ValueError: + return s + + parser = argparse.ArgumentParser() + _, unknown = parser.parse_known_args(nargs) + for index, argument in enumerate(unknown): + if argument.startswith(("-", "--")): + action = None + if index + 1 < len(unknown): # checks if next index would be in list + if unknown[index + 1].startswith(("-", "--")): # checks if next element is an key + # raise an error if element is store_true or store_false + raise ValueError( + "SageMaker doesn’t support argparse actions for `store_true` or `store_false`. Please define explicit types" + ) + else: # raise an error if last element is store_true or store_false + raise ValueError( + "SageMaker doesn’t support argparse actions for `store_true` or `store_false`. Please define explicit types" + ) + # adds argument to parser based on action_store true + if action is None: + parser.add_argument(argument, type=_infer_type) + else: + parser.add_argument(argument, action=action) + + return { + key: (literal_eval(value) if value in ("True", "False") else value) + for key, value in parser.parse_args(nargs).__dict__.items() + } + + +def prepare_sagemager_args_inputs( + sagemaker_config: SageMakerConfig, args: argparse.Namespace +) -> tuple[argparse.Namespace, dict[str, Any]]: + # configure environment + print("Configuring Amazon SageMaker environment") + os.environ["AWS_DEFAULT_REGION"] = sagemaker_config.region + + # configure credentials + if sagemaker_config.profile is not None: + os.environ["AWS_PROFILE"] = sagemaker_config.profile + elif args.aws_access_key_id is not None and args.aws_secret_access_key is not None: + os.environ["AWS_ACCESS_KEY_ID"] = args.aws_access_key_id + os.environ["AWS_SECRET_ACCESS_KEY"] = args.aws_secret_access_key + else: + raise OSError("You need to provide an aws_access_key_id and aws_secret_access_key when not using aws_profile") + + # extract needed arguments + source_dir = os.path.dirname(args.training_script) + if not source_dir: # checks if string is empty + source_dir = "." + entry_point = os.path.basename(args.training_script) + if not entry_point.endswith(".py"): + raise ValueError(f'Your training script should be a python script and not "{entry_point}"') + + print("Converting Arguments to Hyperparameters") + hyperparameters = _convert_nargs_to_dict(args.training_script_args) + + try: + mixed_precision = PrecisionType(args.mixed_precision.lower()) + except ValueError: + raise ValueError( + f"Unknown mixed_precision mode: {args.mixed_precision.lower()}. Choose between {PrecisionType.list()}." + ) + + try: + dynamo_backend = DynamoBackend(args.dynamo_backend.upper()) + except ValueError: + raise ValueError( + f"Unknown dynamo backend: {args.dynamo_backend.upper()}. Choose between {DynamoBackend.list()}." + ) + + # Environment variables to be set for use during training job + environment = { + "ACCELERATE_USE_SAGEMAKER": "true", + "ACCELERATE_MIXED_PRECISION": str(mixed_precision), + "ACCELERATE_DYNAMO_BACKEND": dynamo_backend.value, + "ACCELERATE_DYNAMO_MODE": args.dynamo_mode, + "ACCELERATE_DYNAMO_USE_FULLGRAPH": str(args.dynamo_use_fullgraph), + "ACCELERATE_DYNAMO_USE_DYNAMIC": str(args.dynamo_use_dynamic), + "ACCELERATE_DYNAMO_USE_REGIONAL_COMPILATION": str(args.dynamo_use_regional_compilation), + "ACCELERATE_SAGEMAKER_DISTRIBUTED_TYPE": sagemaker_config.distributed_type.value, + } + if args.mixed_precision.lower() == "fp8": + if not is_fp8_available(): + raise RuntimeError( + "FP8 is not available on this machine. Please ensure that either Transformer Engine, MSAMP or torchao is installed." + ) + environment = setup_fp8_env(args, environment) + # configure distribution set up + distribution = None + if sagemaker_config.distributed_type == SageMakerDistributedType.DATA_PARALLEL: + distribution = {"smdistributed": {"dataparallel": {"enabled": True}}} + + # configure sagemaker inputs + sagemaker_inputs = None + if sagemaker_config.sagemaker_inputs_file is not None: + print(f"Loading SageMaker Inputs from {sagemaker_config.sagemaker_inputs_file} file") + sagemaker_inputs = {} + with open(sagemaker_config.sagemaker_inputs_file) as file: + for i, line in enumerate(file): + if i == 0: + continue + l = line.split("\t") + sagemaker_inputs[l[0]] = l[1].strip() + print(f"Loaded SageMaker Inputs: {sagemaker_inputs}") + + # configure sagemaker metrics + sagemaker_metrics = None + if sagemaker_config.sagemaker_metrics_file is not None: + print(f"Loading SageMaker Metrics from {sagemaker_config.sagemaker_metrics_file} file") + sagemaker_metrics = [] + with open(sagemaker_config.sagemaker_metrics_file) as file: + for i, line in enumerate(file): + if i == 0: + continue + l = line.split("\t") + metric_dict = { + "Name": l[0], + "Regex": l[1].strip(), + } + sagemaker_metrics.append(metric_dict) + print(f"Loaded SageMaker Metrics: {sagemaker_metrics}") + + # configure session + print("Creating Estimator") + args = { + "image_uri": sagemaker_config.image_uri, + "entry_point": entry_point, + "source_dir": source_dir, + "role": sagemaker_config.iam_role_name, + "transformers_version": sagemaker_config.transformers_version, + "pytorch_version": sagemaker_config.pytorch_version, + "py_version": sagemaker_config.py_version, + "base_job_name": sagemaker_config.base_job_name, + "instance_count": sagemaker_config.num_machines, + "instance_type": sagemaker_config.ec2_instance_type, + "debugger_hook_config": False, + "distribution": distribution, + "hyperparameters": hyperparameters, + "environment": environment, + "metric_definitions": sagemaker_metrics, + } + + if sagemaker_config.additional_args is not None: + args = merge_dicts(sagemaker_config.additional_args, args) + return args, sagemaker_inputs + + +def env_var_path_add(env_var_name, path_to_add): + """ + Extends a path-based environment variable's value with a new path and returns the updated value. It's up to the + caller to set it in os.environ. + """ + paths = [p for p in os.environ.get(env_var_name, "").split(":") if len(p) > 0] + paths.append(str(path_to_add)) + return ":".join(paths) + + +class PrepareForLaunch: + """ + Prepare a function that will launched in a distributed setup. + + Args: + launcher (`Callable`): + The function to launch. + distributed_type ([`~state.DistributedType`]): + The distributed type to prepare for. + debug (`bool`, *optional*, defaults to `False`): + Whether or not this is a debug launch. + """ + + def __init__(self, launcher, distributed_type="NO", debug=False): + self.launcher = launcher + self.distributed_type = DistributedType(distributed_type) + self.debug = debug + + def __call__(self, index, *args): + if self.debug: + world_size = int(os.environ.get("WORLD_SIZE")) + rdv_file = os.environ.get("ACCELERATE_DEBUG_RDV_FILE") + torch.distributed.init_process_group( + "gloo", + rank=index, + store=torch.distributed.FileStore(rdv_file, world_size), + world_size=world_size, + ) + elif self.distributed_type in ( + DistributedType.MULTI_GPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_NPU, + DistributedType.MULTI_XPU, + DistributedType.MULTI_CPU, + ): + # Prepare the environment for torch.distributed + os.environ["LOCAL_RANK"] = str(index) + nproc = int(os.environ.get("NPROC", 1)) + node_rank = int(os.environ.get("NODE_RANK", 0)) + os.environ["RANK"] = str(nproc * node_rank + index) + + os.environ["FORK_LAUNCHED"] = str(1) + self.launcher(*args) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/megatron_lm.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/megatron_lm.py new file mode 100644 index 0000000000000000000000000000000000000000..e3754098801102d67b98cebae5bf18b2fd6129d2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/megatron_lm.py @@ -0,0 +1,1424 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse +import math +import os +from abc import ABC +from functools import partial + +import torch +import torch.nn.functional as F +from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss +from torch.nn.parallel.distributed import DistributedDataParallel as torchDDP + +from ..optimizer import AcceleratedOptimizer +from ..scheduler import AcceleratedScheduler +from .imports import is_megatron_lm_available +from .operations import recursively_apply, send_to_device + + +if is_megatron_lm_available(): + from megatron.core import mpu, tensor_parallel + from megatron.core.distributed import DistributedDataParallel as LocalDDP + from megatron.core.distributed import finalize_model_grads + from megatron.core.enums import ModelType + from megatron.core.num_microbatches_calculator import get_num_microbatches + from megatron.core.optimizer import get_megatron_optimizer + from megatron.core.parallel_state import get_tensor_model_parallel_group, get_tensor_model_parallel_src_rank + from megatron.core.pipeline_parallel import get_forward_backward_func + from megatron.core.utils import get_model_config + from megatron.inference.text_generation.communication import broadcast_int_list, broadcast_tensor + from megatron.inference.text_generation.generation import ( + beam_search_and_return_on_first_stage, + generate_tokens_probs_and_return_on_first_stage, + ) + from megatron.legacy.data.dataset_utils import build_train_valid_test_datasets + from megatron.legacy.model import BertModel, Float16Module, GPTModel, T5Model + from megatron.legacy.model.classification import Classification + from megatron.training import ( + get_args, + get_tensorboard_writer, + get_tokenizer, + print_rank_last, + ) + from megatron.training.arguments import ( + _add_data_args, + _add_validation_args, + core_transformer_config_from_args, + parse_args, + validate_args, + ) + from megatron.training.checkpointing import load_args_from_checkpoint, load_checkpoint, save_checkpoint + from megatron.training.global_vars import set_global_variables + from megatron.training.initialize import ( + _compile_dependencies, + _init_autoresume, + _initialize_distributed, + _set_random_seed, + set_jit_fusion_options, + write_args_to_tensorboard, + ) + from megatron.training.tokenizer.tokenizer import _vocab_size_with_padding + from megatron.training.training import ( + build_train_valid_test_data_iterators, + get_optimizer_param_scheduler, + num_floating_point_operations, + setup_model_and_optimizer, + train_step, + training_log, + ) + from megatron.training.utils import ( + average_losses_across_data_parallel_group, + calc_params_l2_norm, + get_ltor_masks_and_position_ids, + unwrap_model, + ) + + +# model utilities +def model_provider_func(pre_process=True, post_process=True, add_encoder=True, add_decoder=True): + """Build the model.""" + args = get_args() + mode = "pre-training" if args.pretraining_flag else "fine-tuning" + if args.rank == 0: + print(f"Building {args.model_type_name} model in the {mode} mode.") + print( + "The Megatron LM model weights are initialized at random in `accelerator.prepare`. " + "Please use `accelerator.load_checkpoint` to load a pre-trained checkpoint matching the distributed setup." + ) + config = core_transformer_config_from_args(args) + if args.model_type_name == "bert": + if args.pretraining_flag: + num_tokentypes = 2 if args.bert_binary_head else 0 + model = BertModel( + config=config, + num_tokentypes=num_tokentypes, + add_binary_head=args.bert_binary_head, + parallel_output=True, + pre_process=pre_process, + post_process=post_process, + ) + else: + model = Classification( + config=config, + num_classes=args.num_labels, + num_tokentypes=2, + pre_process=pre_process, + post_process=post_process, + ) + elif args.model_type_name == "gpt": + model = GPTModel( + config=config, + num_tokentypes=0, + parallel_output=True, + pre_process=pre_process, + post_process=post_process, + ) + elif args.model_type_name == "t5": + model = T5Model( + config=config, + num_tokentypes=0, + parallel_output=True, + pre_process=pre_process, + post_process=post_process, + add_encoder=add_encoder, + add_decoder=add_decoder, + ) + else: + raise ValueError(f"Unsupported model type: {args.model_type_name}") + return model + + +def prepare_model_optimizer_scheduler(accelerator): + accelerator.print("Preparing model optimizer scheduler") + args = get_args() + if accelerator.state.megatron_lm_plugin.custom_prepare_model_function is not None: + if accelerator.state.megatron_lm_plugin.custom_model_provider_function is None: + raise ValueError( + "You must provide a `custom_model_provider_function` when using a `custom_prepare_model_function`." + ) + custom_model_provider_func = accelerator.state.megatron_lm_plugin.custom_model_provider_function + model = accelerator.state.megatron_lm_plugin.custom_prepare_model_function(custom_model_provider_func) + optimizer = prepare_optimizer(accelerator, model) + scheduler = prepare_scheduler(accelerator, optimizer, scheduler=None) + else: + model_type = ModelType.encoder_or_decoder + if args.model_type_name == "t5": + model_type = ModelType.encoder_and_decoder + model_provider_func_ = model_provider_func + if accelerator.state.megatron_lm_plugin.custom_model_provider_function is not None: + model_provider_func_ = accelerator.state.megatron_lm_plugin.custom_model_provider_function + (model, optimizer, scheduler) = setup_model_and_optimizer( + model_provider_func_, + model_type, + no_wd_decay_cond=args.no_wd_decay_cond, + scale_lr_cond=args.scale_lr_cond, + lr_mult=args.lr_mult, + ) + args.model_len = len(model) + return model, optimizer, scheduler + + +# dataloader utilities +class MegatronLMDummyDataLoader: + """ + Dummy dataloader presents model parameters or param groups, this is primarily used to follow conventional training + + Args: + **dataset_kwargs: Megatron data arguments. + """ + + def __init__(self, **dataset_kwargs): + parser = argparse.ArgumentParser() + parser = _add_data_args(parser) + parser = _add_validation_args(parser) + data_args = parser.parse_known_args() + self.dataset_args = vars(data_args[0]) + self.dataset_args.update(dataset_kwargs) + self.dataset_args["megatron_dataset_flag"] = True + + def set_megatron_data_args(self): + args = get_args() + for key, value in self.dataset_args.items(): + old_value = getattr(args, key, "") + if old_value != value: + print( + f"WARNING: MegatronLMDummyDataLoader overriding arguments for {key}:{old_value} with {key}:{value}" + ) + setattr(args, key, value) + + def get_train_valid_test_datasets_provider(self, accelerator): + def train_valid_test_datasets_provider(train_val_test_num_samples): + """Build train, valid, and test datasets.""" + args = get_args() + dataset_args = { + "data_prefix": args.data_path if isinstance(args.data_path, (list, tuple)) else [args.data_path], + "splits_string": args.split, + "train_valid_test_num_samples": train_val_test_num_samples, + "seed": args.seed, + } + if args.model_type_name == "bert": + dataset_args.update( + { + "max_seq_length": args.seq_length, + "binary_head": args.bert_binary_head, + } + ) + elif args.model_type_name == "gpt": + dataset_args.update( + { + "max_seq_length": args.seq_length, + } + ) + elif args.model_type_name == "t5": + dataset_args.update( + { + "max_seq_length": args.encoder_seq_length, + "max_seq_length_dec": args.decoder_seq_length, + "dataset_type": "t5", + } + ) + else: + raise ValueError(f"Unsupported model type: {args.model_type_name}") + train_ds, valid_ds, test_ds = build_train_valid_test_datasets(**dataset_args) + return train_ds, valid_ds, test_ds + + if accelerator.state.megatron_lm_plugin.custom_megatron_datasets_provider_function is not None: + return accelerator.state.megatron_lm_plugin.custom_megatron_datasets_provider_function + try: + args = get_args() + # Use '--no-use-pep517 -e' to pip install nvidia's megatron from source + if args.model_type_name == "bert": + from pretrain_bert import train_valid_test_datasets_provider + + train_valid_test_datasets_provider.is_distributed = True + return train_valid_test_datasets_provider + elif args.model_type_name == "gpt": + from pretrain_gpt import train_valid_test_datasets_provider + + train_valid_test_datasets_provider.is_distributed = True + return train_valid_test_datasets_provider + elif args.model_type_name == "t5": + from pretrain_t5 import train_valid_test_datasets_provider + + train_valid_test_datasets_provider.is_distributed = True + return train_valid_test_datasets_provider + except ImportError: + pass + return train_valid_test_datasets_provider + + def build_train_valid_test_data_iterators(self, accelerator): + args = get_args() + + train_valid_test_dataset_provider = self.get_train_valid_test_datasets_provider(accelerator) + if args.virtual_pipeline_model_parallel_size is not None: + train_data_iterator = [] + valid_data_iterator = [] + test_data_iterator = [] + for i in range(getattr(args, "model_len", 0)): + mpu.set_virtual_pipeline_model_parallel_rank(i) + iterators = build_train_valid_test_data_iterators(train_valid_test_dataset_provider) + train_data_iterator.append(iterators[0]) + valid_data_iterator.append(iterators[1]) + test_data_iterator.append(iterators[2]) + else: + train_data_iterator, valid_data_iterator, test_data_iterator = build_train_valid_test_data_iterators( + train_valid_test_dataset_provider + ) + + return train_data_iterator, valid_data_iterator, test_data_iterator + + +def _handle_megatron_data_iterator(accelerator, data_iterator): + class DummyMegatronDataloader: + def __iter__(self): + return self + + def __next__(self): + return {} + + is_data_iterator_empty = data_iterator is None + is_src_data_iterator_empty = torch.tensor(is_data_iterator_empty, dtype=torch.bool, device=accelerator.device) + torch.distributed.broadcast( + is_src_data_iterator_empty, get_tensor_model_parallel_src_rank(), group=get_tensor_model_parallel_group() + ) + if not is_src_data_iterator_empty and is_data_iterator_empty: + return DummyMegatronDataloader() + return data_iterator + + +def prepare_data_loader(accelerator, dataloader): + accelerator.print("Preparing dataloader") + args = get_args() + if not args.megatron_dataset_flag: + from ..data_loader import _PYTORCH_DATALOADER_KWARGS, prepare_data_loader + + micro_batch_size = args.micro_batch_size * args.num_micro_batches + kwargs = {k: getattr(dataloader, k, _PYTORCH_DATALOADER_KWARGS[k]) for k in _PYTORCH_DATALOADER_KWARGS} + if kwargs["batch_size"] is None: + if isinstance(kwargs["sampler"], torch.utils.data.BatchSampler): + kwargs["sampler"].batch_size = micro_batch_size + else: + del kwargs["sampler"] + del kwargs["shuffle"] + del kwargs["batch_size"] + kwargs["batch_sampler"].batch_size = micro_batch_size + else: + del kwargs["batch_sampler"] + kwargs["batch_size"] = micro_batch_size + + dataloader = torch.utils.data.DataLoader(dataloader.dataset, **kwargs) + # split_batches: + # Megatron only needs to fetch different data between different dp groups, + # and does not need to split the data within the dp group. + return prepare_data_loader( + dataloader, + accelerator.device, + num_processes=mpu.get_data_parallel_world_size(), + process_index=mpu.get_data_parallel_rank(), + split_batches=False, + put_on_device=True, + rng_types=accelerator.rng_types.copy(), + dispatch_batches=accelerator.dispatch_batches, + ) + else: + if args.consumed_samples is not None: + ( + args.consumed_train_samples, + args.consumed_valid_samples, + args.consumed_test_samples, + ) = args.consumed_samples + else: + args.consumed_train_samples, args.consumed_valid_samples, args.consumed_test_samples = 0, 0, 0 + args.micro_batch_size = args.micro_batch_size * args.num_micro_batches + # In order to be compatible with data in transform format, + # it needs to increase the size of mbs first, + # and then split the large batch data into some mbs. + ( + train_data_iterator, + valid_data_iterator, + test_data_iterator, + ) = dataloader.build_train_valid_test_data_iterators(accelerator) + args.micro_batch_size = args.micro_batch_size // args.num_micro_batches + + train_data_iterator = _handle_megatron_data_iterator( + accelerator=accelerator, data_iterator=train_data_iterator + ) + valid_data_iterator = _handle_megatron_data_iterator( + accelerator=accelerator, data_iterator=valid_data_iterator + ) + test_data_iterator = _handle_megatron_data_iterator(accelerator=accelerator, data_iterator=test_data_iterator) + + return train_data_iterator, valid_data_iterator, test_data_iterator + + +# optimizer utilities +class MegatronLMOptimizerWrapper(AcceleratedOptimizer): + def __init__(self, optimizer): + super().__init__(optimizer, device_placement=False, scaler=None) + + def zero_grad(self, set_to_none=None): + pass # `model(**batch)` is doing that automatically. Therefore, its implementation is not needed + + def step(self): + pass # `model(**batch)` is doing that automatically. Therefore, its implementation is not needed + + @property + def step_was_skipped(self): + """Whether or not the optimizer step was done, or skipped because of gradient overflow.""" + return self.optimizer.skipped_iter + + +def prepare_optimizer(accelerator, model): + accelerator.print("Preparing optimizer") + args = get_args() + return get_megatron_optimizer(model, args.no_wd_decay_cond, args.scale_lr_cond, args.lr_mult) + + +# scheduler utilities +class MegatronLMDummyScheduler: + """ + Dummy scheduler presents model parameters or param groups, this is primarily used to follow conventional training + loop when scheduler config is specified in the deepspeed config file. + + Args: + optimizer (`torch.optim.optimizer.Optimizer`): + The optimizer to wrap. + total_num_steps (int): + Total number of steps. + warmup_num_steps (int): + Number of steps for warmup. + **kwargs (additional keyword arguments, *optional*): + Other arguments. + """ + + def __init__(self, optimizer, total_num_steps=None, warmup_num_steps=0, **kwargs): + self.optimizer = optimizer + self.total_num_steps = total_num_steps + self.warmup_num_steps = warmup_num_steps + self.kwargs = kwargs + + +class MegatronLMSchedulerWrapper(AcceleratedScheduler): + def __init__(self, scheduler, optimizers): + super().__init__(scheduler, optimizers) + + def step(self, *args, **kwargs): + return # `model(**batch)` is doing that automatically. Therefore, its implementation is not needed + + +def prepare_scheduler(accelerator, optimizer, scheduler): + accelerator.print("Preparing scheduler") + scheduler = get_optimizer_param_scheduler(optimizer) + return scheduler + + +class AbstractTrainStep(ABC): + """Abstract class for batching, forward pass and loss handler.""" + + def __init__(self, name): + super().__init__() + self.name = name + + def get_batch_func(self, accelerator, megatron_dataset_flag): + pass + + def get_forward_step_func(self): + pass + + def get_loss_func(self, accelerator): + pass + + +class BertTrainStep(AbstractTrainStep): + """ + Bert train step class. + + Args: + args (`argparse.Namespace`): Megatron-LM arguments. + """ + + def __init__(self, accelerator, args): + super().__init__("BertTrainStep") + self.get_batch = self.get_batch_func(accelerator, args.megatron_dataset_flag) + self.loss_func = self.get_loss_func(accelerator, args.pretraining_flag, args.num_labels) + self.forward_step = self.get_forward_step_func(args.pretraining_flag, args.bert_binary_head) + if not args.model_return_dict: + self.model_output_class = None + else: + from transformers.modeling_outputs import SequenceClassifierOutput + + self.model_output_class = SequenceClassifierOutput + + def get_batch_func(self, accelerator, megatron_dataset_flag): + def get_batch_megatron(data_iterator): + """Build the batch.""" + + # Items and their type. + keys = ["text", "types", "labels", "is_random", "loss_mask", "padding_mask"] + datatype = torch.int64 + + # Broadcast data. + if data_iterator is not None: + data = next(data_iterator) + else: + data = None + data_b = tensor_parallel.broadcast_data(keys, data, datatype) + + # Unpack. + tokens = data_b["text"].long() + types = data_b["types"].long() + sentence_order = data_b["is_random"].long() + loss_mask = data_b["loss_mask"].float() + lm_labels = data_b["labels"].long() + padding_mask = data_b["padding_mask"].long() + + return tokens, types, sentence_order, loss_mask, lm_labels, padding_mask + + def get_batch_transformer(data_iterator): + """Build the batch.""" + data = next(data_iterator) + data = send_to_device(data, torch.cuda.current_device()) + + # Unpack. + tokens = data["input_ids"].long() + padding_mask = data["attention_mask"].long() + if "token_type_ids" in data: + types = data["token_type_ids"].long() + else: + types = None + if "labels" in data: + lm_labels = data["labels"].long() + loss_mask = (data["labels"] != -100).to(torch.float) + else: + lm_labels = None + loss_mask = None + if "next_sentence_label" in data: + sentence_order = data["next_sentence_label"].long() + else: + sentence_order = None + + return tokens, types, sentence_order, loss_mask, lm_labels, padding_mask + + if accelerator.state.megatron_lm_plugin.custom_get_batch_function is not None: + return accelerator.state.megatron_lm_plugin.custom_get_batch_function + if megatron_dataset_flag: + try: + # Use '--no-use-pep517 -e' to pip install nvidia's megatron from source + from pretrain_bert import get_batch + + return get_batch + except ImportError: + pass + return get_batch_megatron + else: + return get_batch_transformer + + def get_loss_func(self, accelerator, pretraining_flag, num_labels): + def loss_func_pretrain(loss_mask, sentence_order, output_tensor): + lm_loss_, sop_logits = output_tensor + + lm_loss_ = lm_loss_.float() + loss_mask = loss_mask.float() + lm_loss = torch.sum(lm_loss_.view(-1) * loss_mask.reshape(-1)) / loss_mask.sum() + + if sop_logits is not None: + sop_loss = F.cross_entropy(sop_logits.view(-1, 2).float(), sentence_order.view(-1), ignore_index=-1) + sop_loss = sop_loss.float() + loss = lm_loss + sop_loss + averaged_losses = average_losses_across_data_parallel_group([lm_loss, sop_loss]) + return loss, {"lm loss": averaged_losses[0], "sop loss": averaged_losses[1]} + + else: + loss = lm_loss + averaged_losses = average_losses_across_data_parallel_group([lm_loss]) + return loss, {"lm loss": averaged_losses[0]} + + def loss_func_finetune(labels, logits): + if num_labels == 1: + # We are doing regression + loss_fct = MSELoss() + loss = loss_fct(logits.view(-1), labels.view(-1)) + elif self.num_labels > 1 and (labels.dtype in (torch.long, torch.int)): + loss_fct = CrossEntropyLoss() + loss = loss_fct(logits.view(-1, num_labels), labels.view(-1)) + else: + loss_fct = BCEWithLogitsLoss() + loss = loss_fct(logits, labels) + averaged_losses = average_losses_across_data_parallel_group([loss]) + return loss, {"loss": averaged_losses[0]} + + if accelerator.state.megatron_lm_plugin.custom_loss_function is not None: + return accelerator.state.megatron_lm_plugin.custom_loss_function + if pretraining_flag: + return loss_func_pretrain + else: + return loss_func_finetune + + def get_forward_step_func(self, pretraining_flag, bert_binary_head): + def forward_step(data_iterator, model): + """Forward step.""" + tokens, types, sentence_order, loss_mask, labels, padding_mask = self.get_batch(data_iterator) + if not bert_binary_head: + types = None + # Forward pass through the model. + if pretraining_flag: + output_tensor = model(tokens, padding_mask, tokentype_ids=types, lm_labels=labels) + return output_tensor, partial(self.loss_func, loss_mask, sentence_order) + else: + logits = model(tokens, padding_mask, tokentype_ids=types) + return logits, partial(self.loss_func, labels) + + return forward_step + + +class GPTTrainStep(AbstractTrainStep): + """ + GPT train step class. + + Args: + args (`argparse.Namespace`): Megatron-LM arguments. + """ + + def __init__(self, accelerator, args): + super().__init__("GPTTrainStep") + self.get_batch = self.get_batch_func(accelerator, args.megatron_dataset_flag) + self.loss_func = self.get_loss_func(accelerator) + self.forward_step = self.get_forward_step_func() + self.eod_token = args.padded_vocab_size - 1 + if args.vocab_file is not None: + tokenizer = get_tokenizer() + self.eod_token = tokenizer.eod + self.reset_position_ids = args.reset_position_ids + self.reset_attention_mask = args.reset_attention_mask + self.eod_mask_loss = args.eod_mask_loss + if not args.model_return_dict: + self.model_output_class = None + else: + from transformers.modeling_outputs import CausalLMOutputWithCrossAttentions + + self.model_output_class = CausalLMOutputWithCrossAttentions + + def get_batch_func(self, accelerator, megatron_dataset_flag): + def get_batch_megatron(data_iterator): + """Generate a batch""" + # Items and their type. + keys = ["text"] + datatype = torch.int64 + + # Broadcast data. + if data_iterator is not None: + data = next(data_iterator) + else: + data = None + data_b = tensor_parallel.broadcast_data(keys, data, datatype) + + # Unpack. + tokens_ = data_b["text"].long() + labels = tokens_[:, 1:].contiguous() + tokens = tokens_[:, :-1].contiguous() + + # Get the masks and position ids. + attention_mask, loss_mask, position_ids = get_ltor_masks_and_position_ids( + tokens, self.eod_token, self.reset_position_ids, self.reset_attention_mask, self.eod_mask_loss + ) + + return tokens, labels, loss_mask, attention_mask, position_ids + + def get_batch_transformer(data_iterator): + data = next(data_iterator) + data = {"input_ids": data["input_ids"]} + data = send_to_device(data, torch.cuda.current_device()) + + tokens_ = data["input_ids"].long() + padding = torch.zeros((tokens_.shape[0], 1), dtype=tokens_.dtype, device=tokens_.device) + self.eod_token + tokens_ = torch.concat([tokens_, padding], dim=1) + labels = tokens_[:, 1:].contiguous() + tokens = tokens_[:, :-1].contiguous() + # Get the masks and position ids. + attention_mask, loss_mask, position_ids = get_ltor_masks_and_position_ids( + tokens, self.eod_token, self.reset_position_ids, self.reset_attention_mask, True + ) + return tokens, labels, loss_mask, attention_mask, position_ids + + if accelerator.state.megatron_lm_plugin.custom_get_batch_function is not None: + return accelerator.state.megatron_lm_plugin.custom_get_batch_function + if megatron_dataset_flag: + try: + # Use '--no-use-pep517 -e' to pip install nvidia's megatron from source + from pretrain_gpt import get_batch + + return get_batch + except ImportError: + pass + return get_batch_megatron + else: + return get_batch_transformer + + def get_loss_func(self, accelerator): + args = get_args() + + def loss_func(loss_mask, output_tensor): + if args.return_logits: + losses, logits = output_tensor + else: + losses = output_tensor + losses = losses.float() + loss_mask = loss_mask.view(-1).float() + if args.context_parallel_size > 1: + loss = torch.cat([torch.sum(losses.view(-1) * loss_mask).view(1), loss_mask.sum().view(1)]) + torch.distributed.all_reduce(loss, group=mpu.get_context_parallel_group()) + loss = loss[0] / loss[1] + else: + loss = torch.sum(losses.view(-1) * loss_mask) / loss_mask.sum() + + # Check individual rank losses are not NaN prior to DP all-reduce. + if args.check_for_nan_in_loss_and_grad: + global_rank = torch.distributed.get_rank() + assert not loss.isnan(), ( + f"Rank {global_rank}: found NaN in local forward loss calculation. " + f"Device: {torch.cuda.current_device()}, node: {os.uname()[1]}" + ) + + # Reduce loss for logging. + averaged_loss = average_losses_across_data_parallel_group([loss]) + + output_dict = {"lm loss": averaged_loss[0]} + if args.return_logits: + output_dict.update({"logits": logits}) + return loss, output_dict + + if accelerator.state.megatron_lm_plugin.custom_loss_function is not None: + return accelerator.state.megatron_lm_plugin.custom_loss_function + return loss_func + + def get_forward_step_func(self): + def forward_step(data_iterator, model): + """Forward step.""" + # Get the batch. + tokens, labels, loss_mask, attention_mask, position_ids = self.get_batch(data_iterator) + output_tensor = model(tokens, position_ids, attention_mask, labels=labels) + + return output_tensor, partial(self.loss_func, loss_mask) + + return forward_step + + +class T5TrainStep(AbstractTrainStep): + """ + T5 train step class. + + Args: + args (`argparse.Namespace`): Megatron-LM arguments. + """ + + def __init__(self, accelerator, args): + super().__init__("T5TrainStep") + self.get_batch = self.get_batch_func(accelerator, args.megatron_dataset_flag) + self.loss_func = self.get_loss_func(accelerator) + self.forward_step = self.get_forward_step_func() + if not args.model_return_dict: + self.model_output_class = None + else: + from transformers.modeling_outputs import Seq2SeqLMOutput + + self.model_output_class = Seq2SeqLMOutput + + @staticmethod + def attn_mask_postprocess(attention_mask): + # We create a 3D attention mask from a 2D tensor mask. + # [b, 1, s] + attention_mask_b1s = attention_mask.unsqueeze(1) + # [b, s, 1] + attention_mask_bs1 = attention_mask.unsqueeze(2) + # [b, s, s] + attention_mask_bss = attention_mask_b1s * attention_mask_bs1 + # Convert attention mask to binary: + extended_attention_mask = attention_mask_bss < 0.5 + return extended_attention_mask + + @staticmethod + def get_decoder_mask(seq_length, device): + attention_mask = torch.tril(torch.ones((1, seq_length, seq_length), device=device)) + attention_mask = attention_mask < 0.5 + return attention_mask + + @staticmethod + def get_enc_dec_mask(attention_mask, dec_seq_length, device): + batch_size, _ = attention_mask.shape + # We create a 3D attention mask from a 2D tensor mask. + # [b, 1, s] + attention_mask_b1s = attention_mask.unsqueeze(1) + # [b, s, 1] + attention_mask_bs1 = torch.ones((batch_size, dec_seq_length, 1), device=device) + attention_mask_bss = attention_mask_bs1 * attention_mask_b1s + extended_attention_mask = attention_mask_bss < 0.5 + return extended_attention_mask + + def get_batch_func(self, accelerator, megatron_dataset_flag): + def get_batch_megatron(data_iterator): + """Build the batch.""" + + keys = ["text_enc", "text_dec", "labels", "loss_mask", "enc_mask", "dec_mask", "enc_dec_mask"] + datatype = torch.int64 + + # Broadcast data. + if data_iterator is not None: + data = next(data_iterator) + else: + data = None + data_b = tensor_parallel.broadcast_data(keys, data, datatype) + + # Unpack. + tokens_enc = data_b["text_enc"].long() + tokens_dec = data_b["text_dec"].long() + labels = data_b["labels"].long() + loss_mask = data_b["loss_mask"].float() + + enc_mask = data_b["enc_mask"] < 0.5 + dec_mask = data_b["dec_mask"] < 0.5 + enc_dec_mask = data_b["enc_dec_mask"] < 0.5 + + return tokens_enc, tokens_dec, loss_mask, labels, enc_mask, dec_mask, enc_dec_mask + + def get_batch_transformer(data_iterator): + """Build the batch.""" + data = next(data_iterator) + data = send_to_device(data, torch.cuda.current_device()) + + tokens_enc = data["input_ids"].long() + labels = data["labels"].long() + loss_mask = (labels != -100).to(torch.float) + if "decoder_input_ids" in data: + tokens_dec = data["decoder_input_ids"].long() + else: + tokens_dec = labels.new_zeros(labels.shape, device=labels.device, dtype=torch.long) + tokens_dec[..., 1:] = labels[..., :-1].clone() + tokens_dec[..., 0] = 0 + tokens_dec.masked_fill_(tokens_dec == -100, 0) + enc_mask = T5TrainStep.attn_mask_postprocess(data["attention_mask"].long()) + dec_mask = T5TrainStep.get_decoder_mask(tokens_dec.shape[1], tokens_dec.device) + enc_dec_mask = T5TrainStep.get_enc_dec_mask( + data["attention_mask"].long(), tokens_dec.shape[1], tokens_dec.device + ) + + return tokens_enc, tokens_dec, loss_mask, labels, enc_mask, dec_mask, enc_dec_mask + + if accelerator.state.megatron_lm_plugin.custom_get_batch_function is not None: + return accelerator.state.megatron_lm_plugin.custom_get_batch_function + if megatron_dataset_flag: + try: + # Use '--no-use-pep517 -e' to pip install nvidia's megatron from source + from pretrain_t5 import get_batch + + return get_batch + except ImportError: + pass + return get_batch_megatron + else: + return get_batch_transformer + + def get_loss_func(self, accelerator): + def loss_func(loss_mask, output_tensor): + lm_loss_ = output_tensor.float() + lm_loss = torch.sum(lm_loss_.view(-1) * loss_mask.reshape(-1)) / loss_mask.sum() + + loss = lm_loss + averaged_losses = average_losses_across_data_parallel_group([lm_loss]) + + return loss, {"lm loss": averaged_losses[0]} + + if accelerator.state.megatron_lm_plugin.custom_loss_function is not None: + return accelerator.state.megatron_lm_plugin.custom_loss_function + return loss_func + + def get_forward_step_func(self): + def forward_step(data_iterator, model): + """Forward step.""" + # Get the batch. + tokens_enc, tokens_dec, loss_mask, lm_labels, enc_mask, dec_mask, enc_dec_mask = self.get_batch( + data_iterator + ) + # Forward model lm_labels + output_tensor = model( + tokens_enc, tokens_dec, enc_mask, dec_mask, enc_dec_mask, tokentype_ids=None, lm_labels=lm_labels + ) + + return output_tensor, partial(self.loss_func, loss_mask) + + return forward_step + + +def finish_mpu_init(): + # torch.distributed initialization + args = get_args() + # Pytorch distributed. + _initialize_distributed() + + # Random seeds for reproducibility. + if args.rank == 0: + print(f"> setting random seeds to {args.seed} ...") + _set_random_seed(args.seed, args.data_parallel_random_init) + + +# initialize megatron setup +def initialize(accelerator, extra_args_provider=None, args_defaults={}): + accelerator.print("Initializing Megatron-LM") + assert torch.cuda.is_available(), "Megatron requires CUDA." + + # Parse arguments + args = parse_args(extra_args_provider, ignore_unknown_args=True) + + # Set defaults + for key, value in args_defaults.items(): + if getattr(args, key, None) is not None: + if args.rank == 0: + print( + f"WARNING: overriding default arguments for {key}:{getattr(args, key)} with {key}:{value}", + flush=True, + ) + setattr(args, key, value) + + if args.use_checkpoint_args or args_defaults.get("use_checkpoint_args", False): + assert args.load is not None, "--use-checkpoints-args requires --load argument" + load_args_from_checkpoint(args) + + validate_args(args) + + # set global args, build tokenizer, and set adlr-autoresume, + # tensorboard-writer, and timers. + set_global_variables(args) + + # Megatron's MPU is the master. Complete initialization right away. + finish_mpu_init() + + # Autoresume. + _init_autoresume() + + # Compile dependencies. + _compile_dependencies() + + # Set pytorch JIT layer fusion options and warmup JIT functions. + set_jit_fusion_options() + args = get_args() + if getattr(args, "padded_vocab_size", None) is None: + args.padded_vocab_size = _vocab_size_with_padding(args.orig_vocab_size, args) + if args.model_type_name == "bert" and args.pretraining_flag and args.num_labels == 2: + args.bert_binary_head = True + else: + args.bert_binary_head = False + args.iteration = 0 + + +class MegatronEngine(torch.nn.Module): + """ + Megatron-LM model wrapper + + Args: + accelerator (:class:`~accelerate.Accelerator`): The accelerator object to use. + model: Megatron-LM model + optimizer: Megatron-LM optimizer + lr_scheduler: Megatron-LM lr scheduler + """ + + def __init__(self, accelerator, model, optimizer, scheduler): + super().__init__() + self.module = model + self.base_model = model[0] + self.optimizer = optimizer + self.scheduler = scheduler + args = get_args() + if accelerator.state.megatron_lm_plugin.custom_train_step_class is not None: + self.train_step_handler = accelerator.state.megatron_lm_plugin.custom_train_step_class( + args, **accelerator.state.megatron_lm_plugin.custom_train_step_kwargs + ) + elif args.model_type_name == "bert": + self.train_step_handler = BertTrainStep(accelerator, args) + elif args.model_type_name == "gpt": + self.train_step_handler = GPTTrainStep(accelerator, args) + elif args.model_type_name == "t5": + self.train_step_handler = T5TrainStep(accelerator, args) + else: + raise ValueError(f"Unsupported model type: {args.model_type_name}") + self.optimizer.skipped_iter = False + + # Tracking loss. + self.total_loss_dict = {} + self.eval_total_loss_dict = {} + self.iteration = 0 + self.report_memory_flag = True + self.num_floating_point_operations_so_far = 0 + self.module_config = None + if args.tensorboard_dir is not None: + write_args_to_tensorboard() + + def get_module_config(self): + args = get_args() + config = get_model_config(self.module[0]) + # Setup some training config params + config.grad_scale_func = self.optimizer.scale_loss + if isinstance(self.module[0], LocalDDP) and args.overlap_grad_reduce: + assert config.no_sync_func is None, ( + "When overlap_grad_reduce is True, config.no_sync_func must be None; " + "a custom no_sync_func is not supported when overlapping grad-reduce" + ) + config.no_sync_func = [model_chunk.no_sync for model_chunk in self.module] + if len(self.module) == 1: + config.no_sync_func = config.no_sync_func[0] + if args.delay_grad_reduce: + config.grad_sync_func = [model_chunk.start_grad_sync for model_chunk in self.module] + if len(self.module) == 1: + config.grad_sync_func = config.grad_sync_func[0] + if args.overlap_param_gather and args.delay_param_gather: + config.param_sync_func = [ + lambda x: self.optimizer.finish_param_sync(model_index, x) for model_index in range(len(self.module)) + ] + if len(self.module) == 1: + config.param_sync_func = config.param_sync_func[0] + config.finalize_model_grads_func = finalize_model_grads + return config + + def train(self): + for model_module in self.module: + model_module.train() + + if self.module_config is None: + self.module_config = self.get_module_config() + + self.log_eval_results() + + def eval(self): + for model_module in self.module: + model_module.eval() + + if self.module_config is None: + self.module_config = self.get_module_config() + + def get_batch_data_iterator(self, batch_data): + args = get_args() + data_chunks = [] + if len(batch_data) > 0: + if args.num_micro_batches > 1: + for i in range(0, args.num_micro_batches): + data_chunks.append( + { + k: v[i * args.micro_batch_size : (i + 1) * args.micro_batch_size] + for k, v in batch_data.items() + } + ) + else: + data_chunks = [batch_data] + + if len(self.module) > 1: + batch_data_iterator = ( + [iter(data_chunks) for _ in range(len(self.module))] + if len(batch_data) > 0 + else [None] * len(self.module) + ) + else: + batch_data_iterator = iter(data_chunks) if len(batch_data) > 0 else None + return batch_data_iterator + + def train_step(self, **batch_data): + """ + Training step for Megatron-LM + + Args: + batch_data (:obj:`dict`): The batch data to train on. + """ + + batch_data_iterator = self.get_batch_data_iterator(batch_data) + + loss_reduced, skipped_iter, grad_norm, num_zeros_in_grad = train_step( + forward_step_func=self.train_step_handler.forward_step, + data_iterator=batch_data_iterator, + model=self.module, + optimizer=self.optimizer, + opt_param_scheduler=self.scheduler, + config=self.module_config, + ) + + self.optimizer.skipped_iter = skipped_iter == 1 + + return loss_reduced, skipped_iter, grad_norm, num_zeros_in_grad + + def eval_step(self, **batch_data): + """ + Evaluation step for Megatron-LM + + Args: + batch_data (:obj:`dict`): The batch data to evaluate on. + """ + + args = get_args() + batch_data_iterator = self.get_batch_data_iterator(batch_data) + forward_backward_func = get_forward_backward_func() + loss_dicts = forward_backward_func( + forward_step_func=self.train_step_handler.forward_step, + data_iterator=batch_data_iterator, + model=self.module, + num_microbatches=get_num_microbatches(), + seq_length=args.seq_length, + micro_batch_size=args.micro_batch_size, + forward_only=True, + ) + # Empty unused memory + if args.empty_unused_memory_level >= 1: + torch.cuda.empty_cache() + + args.consumed_valid_samples += ( + mpu.get_data_parallel_world_size() * args.micro_batch_size * get_num_microbatches() + ) + + if mpu.is_pipeline_last_stage(ignore_virtual=True): + # Average loss across microbatches. + loss_reduced = {} + for key in loss_dicts[0]: + losses_reduced_for_key = [x[key] for x in loss_dicts] + if len(losses_reduced_for_key[0].shape) == 0: + loss_reduced[key] = sum(losses_reduced_for_key) / len(losses_reduced_for_key) + else: + loss_reduced[key] = torch.concat(losses_reduced_for_key) + return loss_reduced + return {} + + def forward(self, **batch_data): + # During training, we use train_step() + # model(**batch_data) performs following operations by delegating it to `self.train_step`: + # 1. Prepare **batch_data for Tendor, Pipeline and Model Parallelism + # 2. Set grad to zero. + # 3. forward pass and backward pass using Pipeline Parallelism + # 4. Empty unused memory. + # 5. Reduce gradients. + # 6. Update parameters. + # 7. Gather params when using Distributed Optimizer (Data Parallelism). + # 8. Update learning rate if scheduler is specified. + # 9. Empty unused memory. + # 10. Average loss across microbatches and across DP ranks. + # + # During evaluation, we use eval_step() + args = get_args() + if self.module[0].training: + loss_dict, skipped_iter, grad_norm, num_zeros_in_grad = self.train_step(**batch_data) + self.iteration += 1 + batch_size = mpu.get_data_parallel_world_size() * args.micro_batch_size * get_num_microbatches() + args.consumed_train_samples += batch_size + self.num_floating_point_operations_so_far += num_floating_point_operations(args, batch_size) + if args.tensorboard_dir is not None: + # Logging. + loss_scale = self.optimizer.get_loss_scale().item() + params_norm = None + if args.log_params_norm: + params_norm = calc_params_l2_norm(self.model) + self.report_memory_flag = training_log( + loss_dict, + self.total_loss_dict, + self.optimizer.param_groups[0]["lr"], + self.iteration, + loss_scale, + self.report_memory_flag, + skipped_iter, + grad_norm, + params_norm, + num_zeros_in_grad, + ) + else: + loss_dict = self.eval_step(**batch_data) + if args.tensorboard_dir is not None: + for key in loss_dict: + self.eval_total_loss_dict[key] = ( + self.eval_total_loss_dict.get(key, torch.cuda.FloatTensor([0.0])) + loss_dict[key] + ) + self.eval_total_loss_dict[key + "_num_iters"] = self.eval_total_loss_dict.get( + key + "_num_iters", torch.cuda.FloatTensor([0.0]) + ) + torch.cuda.FloatTensor([1.0]) + + loss = torch.tensor(0.0, device=torch.cuda.current_device()) + for key in loss_dict: + if len(loss_dict[key].shape) == 0: + loss += loss_dict[key] + + logits = None + if "logits" in loss_dict: + logits = loss_dict["logits"] + if self.train_step_handler.model_output_class is not None: + return self.train_step_handler.model_output_class(loss=loss, logits=logits) + return loss + + def log_eval_results(self): + args = get_args() + if args.tensorboard_dir is None or self.iteration == 0: + return + args = get_args() + writer = get_tensorboard_writer() + string = f"validation loss at iteration {self.iteration} | " + for key in self.eval_total_loss_dict: + if key.endswith("_num_iters"): + continue + value = self.eval_total_loss_dict[key] / self.eval_total_loss_dict[key + "_num_iters"] + string += f"{key} value: {value} | " + ppl = math.exp(min(20, value.item())) + if args.pretraining_flag: + string += f"{key} PPL: {ppl} | " + if writer: + writer.add_scalar(f"{key} validation", value.item(), self.iteration) + if args.pretraining_flag: + writer.add_scalar(f"{key} validation ppl", ppl, self.iteration) + + length = len(string) + 1 + print_rank_last("-" * length) + print_rank_last(string) + print_rank_last("-" * length) + self.eval_total_loss_dict = {} + + def save_checkpoint(self, output_dir): + self.log_eval_results() + args = get_args() + args.save = output_dir + torch.distributed.barrier() + save_checkpoint( + self.iteration, + self.module, + self.optimizer, + self.scheduler, + num_floating_point_operations_so_far=self.num_floating_point_operations_so_far, + ) + torch.distributed.barrier() + + def load_checkpoint(self, input_dir): + args = get_args() + args.load = input_dir + args.consumed_train_samples = 0 + args.consumed_valid_samples = 0 + torch.distributed.barrier() + iteration, num_floating_point_operations_so_far = load_checkpoint(self.module, self.optimizer, self.scheduler) + torch.distributed.barrier() + self.iteration = iteration + self.num_floating_point_operations_so_far = num_floating_point_operations_so_far + if args.fp16 and self.iteration == 0: + self.optimizer.reload_model_params() + + def megatron_generate( + self, + inputs, + attention_mask=None, + max_length=None, + max_new_tokens=None, + num_beams=None, + temperature=None, + top_k=None, + top_p=None, + length_penalty=None, + **kwargs, + ): + """ + Generate method for GPT2 model. This method is used for inference. Supports both greedy and beam search along + with sampling. Refer the Megatron-LM repo for more details + + Args: + inputs (torch.Tensor): input ids + attention_mask (torch.Tensor, optional): attention mask. Defaults to None. + max_length (int, optional): max length of the generated sequence. Defaults to None. + Either this or max_new_tokens should be provided. + max_new_tokens (int, optional): max number of tokens to be generated. Defaults to None. + Either this or max_length should be provided. + num_beams (int, optional): number of beams to use for beam search. Defaults to None. + temperature (float, optional): temperature for sampling. Defaults to 1.0. + top_k (int, optional): top k tokens to consider for sampling. Defaults to 0.0. + top_p (float, optional): tokens in top p probability are considered for sampling. Defaults to 0.0. + length_penalty (float, optional): length penalty for beam search. Defaults to None. + kwargs: additional key-value arguments + """ + + # checking if required arguments are passed + args = get_args() + if args.model_type_name != "gpt": + raise NotImplementedError("Generate method is not implemented for this model") + + if args.data_parallel_size > 1: + raise ValueError("Generate method requires data parallelism to be 1") + + if args.sequence_parallel: + raise ValueError("Generate method requires sequence parallelism to be False") + + if args.recompute_granularity is not None: + raise ValueError("Checkpoint activations cannot be set for inference") + + if args.vocab_file is None: + raise ValueError("Vocab file is required for inference") + + # Prepare inputs + if max_length is None and max_new_tokens is None: + raise ValueError("`max_length` or `max_new_tokens` are required for inference") + + if temperature is None: + temperature = 1.0 + elif not (0.0 < temperature <= 100.0): + raise ValueError("temperature must be a positive number less than or equal to 100.0") + + if top_k is None: + top_k = 0 + elif not (0 <= top_k <= 1000): + raise ValueError("top_k must be a positive number less than or equal to 1000") + + if top_p is None: + top_p = 0.0 + elif top_p > 0.0 and top_k > 0.0: + raise ValueError("top_p and top_k sampling cannot be set together") + else: + if not (0.0 <= top_p <= 1.0): + raise ValueError("top_p must be less than or equal to 1.0") + + top_p_decay = kwargs.get("top_p_decay", 0.0) + if not (0.0 <= top_p_decay <= 1.0): + raise ValueError("top_p_decay must be less than or equal to 1.0") + + top_p_bound = kwargs.get("top_p_bound", 0.0) + if not (0.0 <= top_p_bound <= 1.0): + raise ValueError("top_p_bound must be less than or equal to 1.0") + + add_BOS = kwargs.get("add_BOS", False) + if not (isinstance(add_BOS, bool)): + raise ValueError("add_BOS must be a boolean") + + beam_width = num_beams + if beam_width is not None: + if not isinstance(beam_width, int): + raise ValueError("beam_width must be an integer") + if beam_width < 1: + raise ValueError("beam_width must be greater than 0") + if inputs.shape[0] > 1: + return "When doing beam_search, batch size must be 1" + + tokenizer = get_tokenizer() + + stop_token = kwargs.get("stop_token", tokenizer.eod) + if stop_token is not None: + if not isinstance(stop_token, int): + raise ValueError("stop_token must be an integer") + + if length_penalty is None: + length_penalty = 1.0 + + sizes_list = None + prompts_tokens_tensor = None + prompts_length_tensor = None + if torch.distributed.get_rank() == 0: + # Get the prompts length. + if attention_mask is None: + prompts_length_tensor = torch.cuda.LongTensor([inputs.shape[1]] * inputs.shape[0]) + else: + prompts_length_tensor = attention_mask.sum(axis=-1).cuda() + + if max_new_tokens is None: + max_new_tokens = max_length - inputs.shape[1] + if max_new_tokens <= 0: + raise ValueError("max_new_tokens must be greater than 0") + + if add_BOS: + max_length = max_new_tokens + inputs.shape[1] + 1 + # making sure that `max_length` is a multiple of 4 to leverage fused kernels + max_length = 4 * math.ceil(max_length / 4) + max_new_tokens = max_length - (inputs.shape[1] + 1) + padding = torch.cuda.LongTensor([[tokenizer.eod] * max_new_tokens] * inputs.shape[0]) + prompts_tokens_tensor = torch.concat( + [torch.unsqueeze(padding[:, 0], axis=-1), inputs.cuda(), padding], axis=-1 + ) + else: + # making sure that `max_length` is a multiple of 4 to leverage fused kernels + max_length = max_new_tokens + inputs.shape[1] + max_length = 4 * math.ceil(max_length / 4) + max_new_tokens = max_length - inputs.shape[1] + padding = torch.cuda.LongTensor([[tokenizer.eod] * max_new_tokens] * inputs.shape[0]) + prompts_tokens_tensor = torch.concat([inputs.cuda(), padding], axis=-1) + + # We need the sizes of these tensors for the broadcast + sizes_list = [ + prompts_tokens_tensor.size(0), # Batch size + prompts_tokens_tensor.size(1), + ] # Sequence length + + # First, broadcast the sizes. + sizes_tensor = broadcast_int_list(2, int_list=sizes_list, rank=0) + + # Now that we have the sizes, we can broadcast the tokens + # and length tensors. + sizes = sizes_tensor.tolist() + context_tokens_tensor = broadcast_tensor(sizes, torch.int64, tensor=prompts_tokens_tensor, rank=0) + context_length_tensor = broadcast_tensor(sizes[0], torch.int64, tensor=prompts_length_tensor, rank=0) + + # Run the inference + random_seed = kwargs.get("random_seed", 0) + torch.random.manual_seed(random_seed) + unwrapped_model = unwrap_model(self.base_model, (torchDDP, LocalDDP, Float16Module)) + if beam_width is not None: + tokens, _ = beam_search_and_return_on_first_stage( + unwrapped_model, + context_tokens_tensor, + context_length_tensor, + beam_width, + stop_token=stop_token, + num_return_gen=1, + length_penalty=length_penalty, + ) + else: + tokens, _, _ = generate_tokens_probs_and_return_on_first_stage( + unwrapped_model, + context_tokens_tensor, + context_length_tensor, + return_output_log_probs=False, + top_k=top_k, + top_p=top_p, + top_p_decay=top_p_decay, + top_p_bound=top_p_bound, + temperature=temperature, + use_eod_token_for_early_termination=True, + ) + return tokens + + +# other utilities +def avg_losses_across_data_parallel_group(losses): + """ + Average losses across data parallel group. + + Args: + losses (List[Tensor]): List of losses to average across data parallel group. + """ + + return average_losses_across_data_parallel_group(losses) + + +def gather_across_data_parallel_groups(tensor): + """ + Recursively gather tensor in a nested list/tuple/dictionary of tensors from data parallel ranks. + + Args: + tensor (nested list/tuple/dictionary of `torch.Tensor`): + The data to gather across data parallel ranks. + + """ + + def _gpu_gather_one(tensor): + if tensor.ndim == 0: + tensor = tensor.clone()[None] + output_tensors = [ + torch.empty_like(tensor) + for _ in range(torch.distributed.get_world_size(group=mpu.get_data_parallel_group())) + ] + torch.distributed.all_gather(output_tensors, tensor, group=mpu.get_data_parallel_group()) + return torch.cat(output_tensors, dim=0) + + return recursively_apply(_gpu_gather_one, tensor, error_on_other_type=True) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/memory.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/memory.py new file mode 100644 index 0000000000000000000000000000000000000000..51b71107e5b1c7209e17948cde889f7d82f56b41 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/memory.py @@ -0,0 +1,210 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +A collection of utilities for ensuring that training can always occur. Heavily influenced by the +[toma](https://github.com/BlackHC/toma) library. +""" + +import functools +import gc +import importlib +import inspect +import warnings +from typing import Optional + +import torch +from packaging import version + +from .imports import ( + is_cuda_available, + is_hpu_available, + is_ipex_available, + is_mlu_available, + is_mps_available, + is_musa_available, + is_npu_available, + is_sdaa_available, + is_xpu_available, +) +from .versions import compare_versions + + +def clear_device_cache(garbage_collection=False): + """ + Clears the device cache by calling `torch.{backend}.empty_cache`. Can also run `gc.collect()`, but do note that + this is a *considerable* slowdown and should be used sparingly. + """ + if garbage_collection: + gc.collect() + + if is_xpu_available(): + torch.xpu.empty_cache() + elif is_mlu_available(): + torch.mlu.empty_cache() + elif is_sdaa_available(): + torch.sdaa.empty_cache() + elif is_musa_available(): + torch.musa.empty_cache() + elif is_npu_available(): + torch.npu.empty_cache() + elif is_mps_available(min_version="2.0"): + torch.mps.empty_cache() + elif is_cuda_available(): + torch.cuda.empty_cache() + elif is_hpu_available(): + # torch.hpu.empty_cache() # not available on hpu as it reserves all device memory for the current process + pass + + +def release_memory(*objects): + """ + Releases memory from `objects` by setting them to `None` and calls `gc.collect()` and `torch.cuda.empty_cache()`. + Returned objects should be reassigned to the same variables. + + Args: + objects (`Iterable`): + An iterable of objects + Returns: + A list of `None` objects to replace `objects` + + Example: + + ```python + >>> import torch + >>> from accelerate.utils import release_memory + + >>> a = torch.ones(1000, 1000).cuda() + >>> b = torch.ones(1000, 1000).cuda() + >>> a, b = release_memory(a, b) + ``` + """ + if not isinstance(objects, list): + objects = list(objects) + for i in range(len(objects)): + objects[i] = None + clear_device_cache(garbage_collection=True) + return objects + + +def should_reduce_batch_size(exception: Exception) -> bool: + """ + Checks if `exception` relates to CUDA out-of-memory, XPU out-of-memory, CUDNN not supported, or CPU out-of-memory + + Args: + exception (`Exception`): + An exception + """ + _statements = [ + " out of memory.", # OOM for CUDA, HIP, XPU + "cuDNN error: CUDNN_STATUS_NOT_SUPPORTED.", # CUDNN SNAFU + "DefaultCPUAllocator: can't allocate memory", # CPU OOM + "FATAL ERROR :: MODULE:PT_DEVMEM Allocation failed", # HPU OOM + ] + if isinstance(exception, RuntimeError) and len(exception.args) == 1: + return any(err in exception.args[0] for err in _statements) + return False + + +def find_executable_batch_size( + function: Optional[callable] = None, + starting_batch_size: int = 128, + reduce_batch_size_fn: Optional[callable] = None, +): + """ + A basic decorator that will try to execute `function`. If it fails from exceptions related to out-of-memory or + CUDNN, the batch size is multiplied by 0.9 and passed to `function` + + `function` must take in a `batch_size` parameter as its first argument. + + Args: + function (`callable`, *optional*): + A function to wrap + starting_batch_size (`int`, *optional*): + The batch size to try and fit into memory + + Example: + + ```python + >>> from accelerate.utils import find_executable_batch_size + + + >>> @find_executable_batch_size(starting_batch_size=128) + ... def train(batch_size, model, optimizer): + ... ... + + + >>> train(model, optimizer) + ``` + """ + if function is None: + return functools.partial(find_executable_batch_size, starting_batch_size=starting_batch_size) + + batch_size = starting_batch_size + if reduce_batch_size_fn is None: + + def reduce_batch_size_fn(): + nonlocal batch_size + batch_size = int(batch_size * 0.9) + return batch_size + + def decorator(*args, **kwargs): + nonlocal batch_size + clear_device_cache(garbage_collection=True) + params = list(inspect.signature(function).parameters.keys()) + # Guard against user error + if len(params) < (len(args) + 1): + arg_str = ", ".join([f"{arg}={value}" for arg, value in zip(params[1:], args[1:])]) + raise TypeError( + f"Batch size was passed into `{function.__name__}` as the first argument when called." + f"Remove this as the decorator already does so: `{function.__name__}({arg_str})`" + ) + while True: + if batch_size == 0: + raise RuntimeError("No executable batch size found, reached zero.") + try: + return function(batch_size, *args, **kwargs) + except Exception as e: + if should_reduce_batch_size(e): + clear_device_cache(garbage_collection=True) + batch_size = reduce_batch_size_fn() + else: + raise + + return decorator + + +def get_xpu_available_memory(device_index: int): + if version.parse(torch.__version__).release >= version.parse("2.6").release: + # torch.xpu.mem_get_info API is available starting from PyTorch 2.6 + # It further requires PyTorch built with the SYCL runtime which supports API + # to query available device memory. If not available, exception will be + # raised. Version of SYCL runtime used to build PyTorch is being reported + # with print(torch.version.xpu) and corresponds to the version of Intel DPC++ + # SYCL compiler. First version to support required feature is 20250001. + try: + return torch.xpu.mem_get_info(device_index)[0] + except Exception: + pass + elif is_ipex_available(): + ipex_version = version.parse(importlib.metadata.version("intel_extension_for_pytorch")) + if compare_versions(ipex_version, ">=", "2.5"): + from intel_extension_for_pytorch.xpu import mem_get_info + + return mem_get_info(device_index)[0] + + warnings.warn( + "The XPU `mem_get_info` API is available in IPEX version >=2.5 or PyTorch >=2.6. The current returned available memory is incorrect. Please consider upgrading your IPEX or PyTorch version." + ) + return torch.xpu.max_memory_allocated(device_index) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/modeling.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/modeling.py new file mode 100644 index 0000000000000000000000000000000000000000..830249ffb1041b6cb29b6e7bdda1d7e47f28bc99 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/modeling.py @@ -0,0 +1,2186 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import contextlib +import gc +import inspect +import json +import logging +import os +import re +import shutil +import tempfile +import warnings +from collections import OrderedDict, defaultdict +from typing import Optional, Union + +import torch +from torch import distributed as dist +from torch import nn + +from ..state import AcceleratorState +from .constants import SAFE_WEIGHTS_NAME, WEIGHTS_NAME +from .dataclasses import AutocastKwargs, CustomDtype, DistributedType +from .imports import ( + is_hpu_available, + is_mlu_available, + is_mps_available, + is_musa_available, + is_npu_available, + is_peft_available, + is_sdaa_available, + is_torch_xla_available, + is_xpu_available, +) +from .memory import clear_device_cache, get_xpu_available_memory +from .offload import load_offloaded_weight, offload_weight, save_offload_index +from .tqdm import is_tqdm_available, tqdm +from .versions import is_torch_version + + +if is_npu_available(check_device=False): + import torch_npu # noqa: F401 + +if is_mlu_available(check_device=False): + import torch_mlu # noqa: F401 + +if is_sdaa_available(check_device=False): + import torch_sdaa # noqa: F401 + +if is_musa_available(check_device=False): + import torch_musa # noqa: F401 + +from safetensors import safe_open +from safetensors.torch import load_file as safe_load_file + + +WEIGHTS_INDEX_NAME = "pytorch_model.bin.index.json" + +logger = logging.getLogger(__name__) + + +def is_peft_model(model): + from .other import extract_model_from_parallel + + if is_peft_available(): + from peft import PeftModel + + return is_peft_available() and isinstance(extract_model_from_parallel(model), PeftModel) + + +def check_device_same(first_device, second_device): + """ + Utility method to check if two `torch` devices are similar. When dealing with CUDA devices, torch throws `False` + for `torch.device("cuda") == torch.device("cuda:0")` whereas they should be the same + + Args: + first_device (`torch.device`): + First device to check + second_device (`torch.device`): + Second device to check + """ + if first_device.type != second_device.type: + return False + + if first_device.type != "cpu" and first_device.index is None: + # In case the first_device is a cuda device and have + # the index attribute set to `None`, default it to `0` + first_device = torch.device(first_device.type, index=0) + + if second_device.type != "cpu" and second_device.index is None: + # In case the second_device is a cuda device and have + # the index attribute set to `None`, default it to `0` + second_device = torch.device(second_device.type, index=0) + + return first_device == second_device + + +def convert_file_size_to_int(size: Union[int, str]): + """ + Converts a size expressed as a string with digits an unit (like `"5MB"`) to an integer (in bytes). + + Args: + size (`int` or `str`): The size to convert. Will be directly returned if an `int`. + + Example: + + ```py + >>> convert_file_size_to_int("1MiB") + 1048576 + ``` + """ + mem_size = -1 + err_msg = ( + f"`size` {size} is not in a valid format. Use an integer for bytes, or a string with an unit (like '5.0GB')." + ) + try: + if isinstance(size, int): + mem_size = size + elif size.upper().endswith("GIB"): + mem_size = int(float(size[:-3]) * (2**30)) + elif size.upper().endswith("MIB"): + mem_size = int(float(size[:-3]) * (2**20)) + elif size.upper().endswith("KIB"): + mem_size = int(float(size[:-3]) * (2**10)) + elif size.upper().endswith("GB"): + int_size = int(float(size[:-2]) * (10**9)) + mem_size = int_size // 8 if size.endswith("b") else int_size + elif size.upper().endswith("MB"): + int_size = int(float(size[:-2]) * (10**6)) + mem_size = int_size // 8 if size.endswith("b") else int_size + elif size.upper().endswith("KB"): + int_size = int(float(size[:-2]) * (10**3)) + mem_size = int_size // 8 if size.endswith("b") else int_size + except ValueError: + raise ValueError(err_msg) + + if mem_size < 0: + raise ValueError(err_msg) + return mem_size + + +def dtype_byte_size(dtype: torch.dtype): + """ + Returns the size (in bytes) occupied by one parameter of type `dtype`. + + Example: + + ```py + >>> dtype_byte_size(torch.float32) + 4 + ``` + """ + if dtype == torch.bool: + return 1 / 8 + elif dtype == CustomDtype.INT2: + return 1 / 4 + elif dtype == CustomDtype.INT4: + return 1 / 2 + elif dtype == CustomDtype.FP8: + return 1 + elif is_torch_version(">=", "2.1.0") and dtype in [torch.float8_e4m3fn, torch.float8_e5m2]: + return 1 + bit_search = re.search(r"[^\d](\d+)$", str(dtype)) + if bit_search is None: + raise ValueError(f"`dtype` is not a valid dtype: {dtype}.") + bit_size = int(bit_search.groups()[0]) + return bit_size // 8 + + +def id_tensor_storage(tensor: torch.Tensor) -> tuple[torch.device, int, int]: + """ + Unique identifier to a tensor storage. Multiple different tensors can share the same underlying storage. For + example, "meta" tensors all share the same storage, and thus their identifier will all be equal. This identifier is + guaranteed to be unique and constant for this tensor's storage during its lifetime. Two tensor storages with + non-overlapping lifetimes may have the same id. + """ + _SIZE = { + torch.int64: 8, + torch.float32: 4, + torch.int32: 4, + torch.bfloat16: 2, + torch.float16: 2, + torch.int16: 2, + torch.uint8: 1, + torch.int8: 1, + torch.bool: 1, + torch.float64: 8, + } + try: + storage_ptr = tensor.untyped_storage().data_ptr() + storage_size = tensor.untyped_storage().nbytes() + except Exception: + try: + # Fallback for torch==1.10 + storage_ptr = tensor.storage().data_ptr() + storage_size = tensor.storage().size() * _SIZE[tensor.dtype] + except NotImplementedError: + # Fallback for meta storage + storage_ptr = 0 + # On torch >=2.0 this is the tensor size + storage_size = tensor.nelement() * _SIZE[tensor.dtype] + + return tensor.device, storage_ptr, storage_size + + +def set_module_tensor_to_device( + module: nn.Module, + tensor_name: str, + device: Union[int, str, torch.device], + value: Optional[torch.Tensor] = None, + dtype: Optional[Union[str, torch.dtype]] = None, + fp16_statistics: Optional[torch.HalfTensor] = None, + tied_params_map: Optional[dict[int, dict[torch.device, torch.Tensor]]] = None, + non_blocking: bool = False, + clear_cache: bool = True, +): + """ + A helper function to set a given tensor (parameter of buffer) of a module on a specific device (note that doing + `param.to(device)` creates a new tensor not linked to the parameter, which is why we need this function). + + Args: + module (`torch.nn.Module`): + The module in which the tensor we want to move lives. + tensor_name (`str`): + The full name of the parameter/buffer. + device (`int`, `str` or `torch.device`): + The device on which to set the tensor. + value (`torch.Tensor`, *optional*): + The value of the tensor (useful when going from the meta device to any other device). + dtype (`torch.dtype`, *optional*): + If passed along the value of the parameter will be cast to this `dtype`. Otherwise, `value` will be cast to + the dtype of the existing parameter in the model. + fp16_statistics (`torch.HalfTensor`, *optional*): + The list of fp16 statistics to set on the module, used for 8 bit model serialization. + tied_params_map (Dict[int, Dict[torch.device, torch.Tensor]], *optional*, defaults to `None`): + A map of current data pointers to dictionaries of devices to already dispatched tied weights. For a given + execution device, this parameter is useful to reuse the first available pointer of a shared weight on the + device for all others, instead of duplicating memory. + non_blocking (`bool`, *optional*, defaults to `False`): + If `True`, the device transfer will be asynchronous with respect to the host, if possible. + clear_cache (`bool`, *optional*, defaults to `True`): + Whether or not to clear the device cache after setting the tensor on the device. + """ + # Recurse if needed + if "." in tensor_name: + splits = tensor_name.split(".") + for split in splits[:-1]: + new_module = getattr(module, split) + if new_module is None: + raise ValueError(f"{module} has no attribute {split}.") + module = new_module + tensor_name = splits[-1] + + if tensor_name not in module._parameters and tensor_name not in module._buffers: + raise ValueError(f"{module} does not have a parameter or a buffer named {tensor_name}.") + is_buffer = tensor_name in module._buffers + old_value = getattr(module, tensor_name) + + # Treat the case where old_value (or a custom `value`, typically offloaded to RAM/disk) belongs to a tied group, and one of the weight + # in the tied group has already been dispatched to the device, by avoiding reallocating memory on the device and just copying the pointer. + if ( + value is not None + and tied_params_map is not None + and value.data_ptr() in tied_params_map + and device in tied_params_map[value.data_ptr()] + ): + module._parameters[tensor_name] = tied_params_map[value.data_ptr()][device] + return + elif ( + tied_params_map is not None + and old_value.data_ptr() in tied_params_map + and device in tied_params_map[old_value.data_ptr()] + ): + module._parameters[tensor_name] = tied_params_map[old_value.data_ptr()][device] + return + + if old_value.device == torch.device("meta") and device not in ["meta", torch.device("meta")] and value is None: + raise ValueError(f"{tensor_name} is on the meta device, we need a `value` to put in on {device}.") + + param = module._parameters[tensor_name] if tensor_name in module._parameters else None + param_cls = type(param) + + if value is not None: + # We can expect mismatches when using bnb 4bit since Params4bit will reshape and pack the weights. + # In other cases, we want to make sure we're not loading checkpoints that do not match the config. + if old_value.shape != value.shape and param_cls.__name__ != "Params4bit": + raise ValueError( + f'Trying to set a tensor of shape {value.shape} in "{tensor_name}" (which has shape {old_value.shape}), this looks incorrect.' + ) + + if dtype is None: + # For compatibility with PyTorch load_state_dict which converts state dict dtype to existing dtype in model + value = value.to(old_value.dtype, non_blocking=non_blocking) + elif not str(value.dtype).startswith(("torch.uint", "torch.int", "torch.bool")): + value = value.to(dtype, non_blocking=non_blocking) + + device_quantization = None + with torch.no_grad(): + # leave it on cpu first before moving them to cuda + # # fix the case where the device is meta, we don't want to put it on cpu because there is no data =0 + if ( + param is not None + and param.device.type not in ("cuda", "xpu") + and torch.device(device).type in ("cuda", "xpu") + and param_cls.__name__ in ["Int8Params", "FP4Params", "Params4bit"] + ): + device_quantization = device + device = "cpu" + # `torch.Tensor.to()` is not supported by `torch_npu` (see this [issue](https://github.com/Ascend/pytorch/issues/16)). + if isinstance(device, int): + if is_npu_available(): + device = f"npu:{device}" + elif is_mlu_available(): + device = f"mlu:{device}" + elif is_sdaa_available(): + device = f"sdaa:{device}" + elif is_musa_available(): + device = f"musa:{device}" + elif is_hpu_available(): + device = "hpu" + if "xpu" in str(device) and not is_xpu_available(): + raise ValueError(f'{device} is not available, you should use device="cpu" instead') + if value is None: + new_value = old_value.to(device, non_blocking=non_blocking) + if dtype is not None and device in ["meta", torch.device("meta")]: + if not str(old_value.dtype).startswith(("torch.uint", "torch.int", "torch.bool")): + new_value = new_value.to(dtype, non_blocking=non_blocking) + + if not is_buffer: + module._parameters[tensor_name] = param_cls(new_value, requires_grad=old_value.requires_grad) + elif isinstance(value, torch.Tensor): + new_value = value.to(device, non_blocking=non_blocking) + else: + new_value = torch.tensor(value, device=device) + if device_quantization is not None: + device = device_quantization + if is_buffer: + module._buffers[tensor_name] = new_value + elif value is not None or not check_device_same(torch.device(device), module._parameters[tensor_name].device): + param_cls = type(module._parameters[tensor_name]) + kwargs = module._parameters[tensor_name].__dict__ + if param_cls.__name__ in ["Int8Params", "FP4Params", "Params4bit"]: + if param_cls.__name__ == "Int8Params" and new_value.dtype == torch.float32: + # downcast to fp16 if any - needed for 8bit serialization + new_value = new_value.to(torch.float16, non_blocking=non_blocking) + # quantize module that are going to stay on the cpu so that we offload quantized weights + if device == "cpu" and param_cls.__name__ == "Int8Params": + new_value = param_cls(new_value, requires_grad=old_value.requires_grad, **kwargs).to(0).to("cpu") + new_value.CB = new_value.CB.to("cpu") + new_value.SCB = new_value.SCB.to("cpu") + else: + new_value = param_cls(new_value, requires_grad=old_value.requires_grad, **kwargs).to( + device, non_blocking=non_blocking + ) + elif param_cls.__name__ in ["QTensor", "QBitsTensor"]: + new_value = torch.nn.Parameter(new_value, requires_grad=old_value.requires_grad).to( + device, non_blocking=non_blocking + ) + elif param_cls.__name__ in ["AffineQuantizedTensor"]: + new_value = new_value.to(device, non_blocking=non_blocking) + else: + new_value = param_cls(new_value, requires_grad=old_value.requires_grad).to( + device, non_blocking=non_blocking + ) + + module._parameters[tensor_name] = new_value + if fp16_statistics is not None: + module._parameters[tensor_name].SCB = fp16_statistics.to(device, non_blocking=non_blocking) + del fp16_statistics + # as we put the weight to meta, it doesn't have SCB attr anymore. make sure that it is not a meta weight + if ( + module.__class__.__name__ == "Linear8bitLt" + and getattr(module.weight, "SCB", None) is None + and str(module.weight.device) != "meta" + ): + # quantize only if necessary + device_index = torch.device(device).index if torch.device(device).type == "cuda" else None + if not getattr(module.weight, "SCB", None) and device_index is not None: + if module.bias is not None and module.bias.device.type != "meta": + # if a bias exists, we need to wait until the bias is set on the correct device + module = module.cuda(device_index) + elif module.bias is None: + # if no bias exists, we can quantize right away + module = module.cuda(device_index) + elif ( + module.__class__.__name__ == "Linear4bit" + and getattr(module.weight, "quant_state", None) is None + and str(module.weight.device) != "meta" + ): + # quantize only if necessary + device_index = torch.device(device).index if torch.device(device).type == "cuda" else None + if not getattr(module.weight, "quant_state", None) and device_index is not None: + module.weight = module.weight.cuda(device_index) + + # clean pre and post forward hook + if clear_cache and device not in ("cpu", "meta"): + clear_device_cache() + + # When handling tied weights, we update tied_params_map to keep track of the tied weights that have already been allocated on the device in + # order to avoid duplicating memory, see above. + if ( + tied_params_map is not None + and old_value.data_ptr() in tied_params_map + and device not in tied_params_map[old_value.data_ptr()] + ): + tied_params_map[old_value.data_ptr()][device] = new_value + elif ( + value is not None + and tied_params_map is not None + and value.data_ptr() in tied_params_map + and device not in tied_params_map[value.data_ptr()] + ): + tied_params_map[value.data_ptr()][device] = new_value + + +def named_module_tensors( + module: nn.Module, include_buffers: bool = True, recurse: bool = False, remove_non_persistent: bool = False +): + """ + A helper function that gathers all the tensors (parameters + buffers) of a given module. If `include_buffers=True` + it's the same as doing `module.named_parameters(recurse=recurse) + module.named_buffers(recurse=recurse)`. + + Args: + module (`torch.nn.Module`): + The module we want the tensors on. + include_buffer (`bool`, *optional*, defaults to `True`): + Whether or not to include the buffers in the result. + recurse (`bool`, *optional`, defaults to `False`): + Whether or not to go look in every submodule or just return the direct parameters and buffers. + remove_non_persistent (`bool`, *optional*, defaults to `False`): + Whether or not to remove the non persistent buffer from the buffers. Useful only when include_buffers = + True + """ + yield from module.named_parameters(recurse=recurse) + + if include_buffers: + non_persistent_buffers = set() + if remove_non_persistent: + non_persistent_buffers = get_non_persistent_buffers(module, recurse=recurse) + for named_buffer in module.named_buffers(recurse=recurse): + name, _ = named_buffer + if name not in non_persistent_buffers: + yield named_buffer + + +def get_non_persistent_buffers(module: nn.Module, recurse: bool = False, fqns: bool = False): + """ + Gather all non persistent buffers of a given modules into a set + + Args: + module (`nn.Module`): + The module we want the non persistent buffers on. + recurse (`bool`, *optional*, defaults to `False`): + Whether or not to go look in every submodule or just return the direct non persistent buffers. + fqns (`bool`, *optional*, defaults to `False`): + Whether or not to return the fully-qualified names of the non persistent buffers. + """ + + non_persistent_buffers_set = module._non_persistent_buffers_set + if recurse: + for n, m in module.named_modules(): + if fqns: + non_persistent_buffers_set |= {n + "." + b for b in m._non_persistent_buffers_set} + else: + non_persistent_buffers_set |= m._non_persistent_buffers_set + + return non_persistent_buffers_set + + +def check_tied_parameters_in_config(model: nn.Module): + """ + Check if there is any indication in the given model that some weights should be tied. + + Args: + model (`torch.nn.Module`): The model to inspect + + Returns: + bool: True if the model needs to have tied weights + """ + + # based on model.tie_weights() method + has_tied_word_embedding = False + has_tied_encoder_decoder = False + has_tied_module = False + + if "PreTrainedModel" in [c.__name__ for c in inspect.getmro(model.__class__)]: + has_tied_word_embedding = False + model_decoder_config = None + if hasattr(model, "config"): + model_decoder_config = ( + model.config.get_text_config(decoder=True) + if hasattr(model.config, "get_text_config") + else model.config + ) + has_tied_word_embedding = ( + model_decoder_config is not None + and getattr(model_decoder_config, "tie_word_embeddings", False) + and model.get_output_embeddings() + ) + + has_tied_encoder_decoder = ( + hasattr(model, "config") + and getattr(model.config, "is_encoder_decoder", False) + and getattr(model.config, "tie_encoder_decoder", False) + ) + has_tied_module = any(hasattr(module, "_tie_weights") for module in model.modules()) + return any([has_tied_word_embedding, has_tied_encoder_decoder, has_tied_module]) + + +def _get_param_device(param, device_map): + if param in device_map: + return device_map[param] + parent_param = ".".join(param.split(".")[:-1]) + if parent_param == param: + raise ValueError(f"The `device_map` does not contain the module {param}.") + else: + return _get_param_device(parent_param, device_map) + + +def check_tied_parameters_on_same_device(tied_params, device_map): + """ + Check if tied parameters are on the same device + + Args: + tied_params (`List[List[str]]`): + A list of lists of parameter names being all tied together. + + device_map (`Dict[str, Union[int, str, torch.device]]`): + A map that specifies where each submodule should go. + + """ + for tie_param in tied_params: + tie_param_devices = {} + for param in tie_param: + tie_param_devices[param] = _get_param_device(param, device_map) + if len(set(tie_param_devices.values())) > 1: + logger.warning( + f"Tied parameters are on different devices: {tie_param_devices}. " + "Please modify your custom device map or set `device_map='auto'`. " + ) + + +def find_tied_parameters(model: torch.nn.Module, **kwargs) -> list[list[str]]: + """ + Find the tied parameters in a given model. + + + + The signature accepts keyword arguments, but they are for the recursive part of this function and you should ignore + them. + + + + Args: + model (`torch.nn.Module`): The model to inspect. + + Returns: + List[List[str]]: A list of lists of parameter names being all tied together. + + Example: + + ```py + >>> from collections import OrderedDict + >>> import torch.nn as nn + + >>> model = nn.Sequential(OrderedDict([("linear1", nn.Linear(4, 4)), ("linear2", nn.Linear(4, 4))])) + >>> model.linear2.weight = model.linear1.weight + >>> find_tied_parameters(model) + [['linear1.weight', 'linear2.weight']] + ``` + """ + + # get ALL model parameters and their names + all_named_parameters = {name: param for name, param in model.named_parameters(remove_duplicate=False)} + + # get ONLY unique named parameters, + # if parameter is tied and have multiple names, it will be included only once + no_duplicate_named_parameters = {name: param for name, param in model.named_parameters(remove_duplicate=True)} + + # the difference of the two sets will give us the tied parameters + tied_param_names = set(all_named_parameters.keys()) - set(no_duplicate_named_parameters.keys()) + + # 'tied_param_names' contains the names of parameters that are tied in the model, but we do not know + # which names refer to the same parameter. To identify this, we need to group them together. + tied_param_groups = {} + for tied_param_name in tied_param_names: + tied_param = all_named_parameters[tied_param_name] + for param_name, param in no_duplicate_named_parameters.items(): + # compare if parameters are the same, if so, group their names together + if param is tied_param: + if param_name not in tied_param_groups: + tied_param_groups[param_name] = [] + tied_param_groups[param_name].append(tied_param_name) + + return [sorted([weight] + list(set(tied))) for weight, tied in tied_param_groups.items()] + + +def retie_parameters(model, tied_params): + """ + Reties tied parameters in a given model if the link was broken (for instance when adding hooks). + + Args: + model (`torch.nn.Module`): + The model in which to retie parameters. + tied_params (`List[List[str]]`): + A mapping parameter name to tied parameter name as obtained by `find_tied_parameters`. + """ + for tied_group in tied_params: + param_to_tie = None + # two loops : the first one to set param_to_tie , the second one to change the values of tied_group + for param_name in tied_group: + module = model + splits = param_name.split(".") + for split in splits[:-1]: + module = getattr(module, split) + param = getattr(module, splits[-1]) + if param_to_tie is None and param.device != torch.device("meta"): + param_to_tie = param + break + if param_to_tie is not None: + for param_name in tied_group: + module = model + splits = param_name.split(".") + for split in splits[:-1]: + module = getattr(module, split) + setattr(module, splits[-1], param_to_tie) + + +def _get_proper_dtype(dtype: Union[str, torch.device]) -> torch.dtype: + """ + Just does torch.dtype(dtype) if necessary. + """ + if isinstance(dtype, str): + # We accept "torch.float16" or just "float16" + dtype = dtype.replace("torch.", "") + dtype = getattr(torch, dtype) + return dtype + + +def compute_module_sizes( + model: nn.Module, + dtype: Optional[Union[str, torch.device]] = None, + special_dtypes: Optional[dict[str, Union[str, torch.device]]] = None, + buffers_only: bool = False, +): + """ + Compute the size of each submodule of a given model. + """ + if dtype is not None: + dtype = _get_proper_dtype(dtype) + dtype_size = dtype_byte_size(dtype) + if special_dtypes is not None: + special_dtypes = {key: _get_proper_dtype(dtyp) for key, dtyp in special_dtypes.items()} + special_dtypes_size = {key: dtype_byte_size(dtyp) for key, dtyp in special_dtypes.items()} + module_sizes = defaultdict(int) + + module_list = [] + + if not buffers_only: + module_list = named_module_tensors(model, recurse=True) + else: + module_list = model.named_buffers(recurse=True) + + for name, tensor in module_list: + if special_dtypes is not None and name in special_dtypes: + size = tensor.numel() * special_dtypes_size[name] + elif dtype is None: + size = tensor.numel() * dtype_byte_size(tensor.dtype) + elif str(tensor.dtype).startswith(("torch.uint", "torch.int", "torch.bool")): + # According to the code in set_module_tensor_to_device, these types won't be converted + # so use their original size here + size = tensor.numel() * dtype_byte_size(tensor.dtype) + else: + size = tensor.numel() * min(dtype_size, dtype_byte_size(tensor.dtype)) + name_parts = name.split(".") + for idx in range(len(name_parts) + 1): + module_sizes[".".join(name_parts[:idx])] += size + + return module_sizes + + +def compute_module_total_buffer_size( + model: nn.Module, + dtype: Optional[Union[str, torch.device]] = None, + special_dtypes: Optional[dict[str, Union[str, torch.device]]] = None, +): + """ + Compute the total size of buffers in each submodule of a given model. + """ + module_sizes = compute_module_sizes(model, dtype=dtype, special_dtypes=special_dtypes, buffers_only=True) + return module_sizes.get("", 0) + + +def get_max_layer_size( + modules: list[tuple[str, torch.nn.Module]], module_sizes: dict[str, int], no_split_module_classes: list[str] +): + """ + Utility function that will scan a list of named modules and return the maximum size used by one full layer. The + definition of a layer being: + - a module with no direct children (just parameters and buffers) + - a module whose class name is in the list `no_split_module_classes` + + Args: + modules (`List[Tuple[str, torch.nn.Module]]`): + The list of named modules where we want to determine the maximum layer size. + module_sizes (`Dict[str, int]`): + A dictionary mapping each layer name to its size (as generated by `compute_module_sizes`). + no_split_module_classes (`List[str]`): + A list of class names for layers we don't want to be split. + + Returns: + `Tuple[int, List[str]]`: The maximum size of a layer with the list of layer names realizing that maximum size. + """ + max_size = 0 + layer_names = [] + modules_to_treat = modules.copy() + while len(modules_to_treat) > 0: + module_name, module = modules_to_treat.pop(0) + modules_children = list(module.named_children()) if isinstance(module, torch.nn.Module) else [] + if len(modules_children) == 0 or module.__class__.__name__ in no_split_module_classes: + # No splitting this one so we compare to the max_size + size = module_sizes[module_name] + if size > max_size: + max_size = size + layer_names = [module_name] + elif size == max_size: + layer_names.append(module_name) + else: + modules_to_treat = [(f"{module_name}.{n}", v) for n, v in modules_children] + modules_to_treat + return max_size, layer_names + + +def get_max_memory(max_memory: Optional[dict[Union[int, str], Union[int, str]]] = None): + """ + Get the maximum memory available if nothing is passed, converts string to int otherwise. + """ + import psutil + + if max_memory is None: + max_memory = {} + # Make sure CUDA is initialized on each GPU to have the right memory info. + if is_npu_available(): + for i in range(torch.npu.device_count()): + try: + _ = torch.tensor(0, device=torch.device("npu", i)) + max_memory[i] = torch.npu.mem_get_info(i)[0] + except Exception: + logger.info(f"Device {i} seems unavailable, Proceeding to check subsequent devices.") + continue + elif is_mlu_available(): + for i in range(torch.mlu.device_count()): + try: + _ = torch.tensor(0, device=torch.device("mlu", i)) + max_memory[i] = torch.mlu.mem_get_info(i)[0] + except Exception: + logger.info(f"Device {i} seems unavailable, Proceeding to check subsequent devices.") + continue + elif is_sdaa_available(): + for i in range(torch.sdaa.device_count()): + try: + _ = torch.tensor(0, device=torch.device("sdaa", i)) + max_memory[i] = torch.sdaa.mem_get_info(i)[0] + except Exception: + logger.info(f"Device {i} seems unavailable, Proceeding to check subsequent devices.") + continue + elif is_musa_available(): + for i in range(torch.musa.device_count()): + try: + _ = torch.tensor(0, device=torch.device("musa", i)) + max_memory[i] = torch.musa.mem_get_info(i)[0] + except Exception: + logger.info(f"Device {i} seems unavailable, Proceeding to check subsequent devices.") + continue + elif is_xpu_available(): + for i in range(torch.xpu.device_count()): + try: + _ = torch.tensor(0, device=torch.device("xpu", i)) + max_memory[i] = get_xpu_available_memory(i) + except Exception: + logger.info(f"Device {i} seems unavailable, Proceeding to check subsequent devices.") + continue + elif is_hpu_available(): + for i in range(torch.hpu.device_count()): + try: + _ = torch.tensor(0, device=torch.device("hpu", i)) + max_memory[i] = torch.hpu.mem_get_info(i)[0] + except Exception: + logger.info(f"Device {i} seems unavailable, Proceeding to check subsequent devices.") + continue + else: + for i in range(torch.cuda.device_count()): + try: + _ = torch.tensor([0], device=i) + max_memory[i] = torch.cuda.mem_get_info(i)[0] + except Exception: + logger.info(f"Device {i} seems unavailable, Proceeding to check subsequent devices.") + continue + # allocate everything in the mps device as the RAM is shared + if is_mps_available(): + max_memory["mps"] = psutil.virtual_memory().available + else: + max_memory["cpu"] = psutil.virtual_memory().available + return max_memory + + for key in max_memory: + if isinstance(max_memory[key], str): + max_memory[key] = convert_file_size_to_int(max_memory[key]) + + # Need to sort the device by type to make sure that we allocate the gpu first. + # As gpu/npu/xpu are represented by int, we need to sort them first. + gpu_devices = [k for k in max_memory.keys() if isinstance(k, int)] + gpu_devices.sort() + # check if gpu/npu/xpu devices are available and if not, throw a warning + if is_npu_available(): + num_devices = torch.npu.device_count() + elif is_mlu_available(): + num_devices = torch.mlu.device_count() + elif is_sdaa_available(): + num_devices = torch.sdaa.device_count() + elif is_musa_available(): + num_devices = torch.musa.device_count() + elif is_xpu_available(): + num_devices = torch.xpu.device_count() + elif is_hpu_available(): + num_devices = torch.hpu.device_count() + else: + num_devices = torch.cuda.device_count() + for device in gpu_devices: + if device >= num_devices or device < 0: + logger.warning(f"Device {device} is not available, available devices are {list(range(num_devices))}") + # Add the other devices in the preset order if they are available + all_devices = gpu_devices + [k for k in ["mps", "cpu", "disk"] if k in max_memory.keys()] + # Raise an error if a device is not recognized + for k in max_memory.keys(): + if k not in all_devices: + raise ValueError( + f"Device {k} is not recognized, available devices are integers(for GPU/XPU), 'mps', 'cpu' and 'disk'" + ) + max_memory = {k: max_memory[k] for k in all_devices} + + return max_memory + + +def clean_device_map(device_map: dict[str, Union[int, str, torch.device]], module_name: str = ""): + """ + Cleans a device_map by grouping all submodules that go on the same device together. + """ + # Get the value of the current module and if there is only one split across several keys, regroup it. + prefix = "" if module_name == "" else f"{module_name}." + values = [v for k, v in device_map.items() if k.startswith(prefix)] + if len(set(values)) == 1 and len(values) > 1: + for k in [k for k in device_map if k.startswith(prefix)]: + del device_map[k] + device_map[module_name] = values[0] + + # Recurse over the children + children_modules = [k for k in device_map.keys() if k.startswith(prefix) and len(k) > len(module_name)] + idx = len(module_name.split(".")) + 1 if len(module_name) > 0 else 1 + children_modules = set(".".join(k.split(".")[:idx]) for k in children_modules) + for child in children_modules: + clean_device_map(device_map, module_name=child) + + return device_map + + +def load_offloaded_weights(model, index, offload_folder): + """ + Loads the weights from the offload folder into the model. + + Args: + model (`torch.nn.Module`): + The model to load the weights into. + index (`dict`): + A dictionary containing the parameter name and its metadata for each parameter that was offloaded from the + model. + offload_folder (`str`): + The folder where the offloaded weights are stored. + """ + if index is None or len(index) == 0: + # Nothing to do + return + for param_name, metadata in index.items(): + if "SCB" in param_name: + continue + fp16_statistics = None + if "weight" in param_name and param_name.replace("weight", "SCB") in index.keys(): + weight_name = param_name.replace("weight", "SCB") + fp16_statistics = load_offloaded_weight( + os.path.join(offload_folder, f"{weight_name}.dat"), index[weight_name] + ) + tensor_file = os.path.join(offload_folder, f"{param_name}.dat") + weight = load_offloaded_weight(tensor_file, metadata) + set_module_tensor_to_device(model, param_name, "cpu", value=weight, fp16_statistics=fp16_statistics) + + +def get_module_leaves(module_sizes): + module_children = {} + for module in module_sizes: + if module == "" or "." not in module: + continue + parent = module.rsplit(".", 1)[0] + module_children[parent] = module_children.get(parent, 0) + 1 + leaves = [module for module in module_sizes if module_children.get(module, 0) == 0 and module != ""] + return leaves + + +def get_balanced_memory( + model: nn.Module, + max_memory: Optional[dict[Union[int, str], Union[int, str]]] = None, + no_split_module_classes: Optional[list[str]] = None, + dtype: Optional[Union[str, torch.dtype]] = None, + special_dtypes: Optional[dict[str, Union[str, torch.device]]] = None, + low_zero: bool = False, +): + """ + Compute a `max_memory` dictionary for [`infer_auto_device_map`] that will balance the use of each available GPU. + + + + All computation is done analyzing sizes and dtypes of the model parameters. As a result, the model can be on the + meta device (as it would if initialized within the `init_empty_weights` context manager). + + + + Args: + model (`torch.nn.Module`): + The model to analyze. + max_memory (`Dict`, *optional*): + A dictionary device identifier to maximum memory. Will default to the maximum memory available if unset. + Example: `max_memory={0: "1GB"}`. + no_split_module_classes (`List[str]`, *optional*): + A list of layer class names that should never be split across device (for instance any layer that has a + residual connection). + dtype (`str` or `torch.dtype`, *optional*): + If provided, the weights will be converted to that type when loaded. + special_dtypes (`Dict[str, Union[str, torch.device]]`, *optional*): + If provided, special dtypes to consider for some specific weights (will override dtype used as default for + all weights). + low_zero (`bool`, *optional*): + Minimizes the number of weights on GPU 0, which is convenient when it's used for other operations (like the + Transformers generate function). + """ + # Get default / clean up max_memory + user_not_set_max_memory = max_memory is None + max_memory = get_max_memory(max_memory) + + if is_npu_available(): + expected_device_type = "npu" + elif is_mlu_available(): + expected_device_type = "mlu" + elif is_sdaa_available(): + expected_device_type = "sdaa" + elif is_musa_available(): + expected_device_type = "musa" + elif is_xpu_available(): + expected_device_type = "xpu" + elif is_hpu_available(): + expected_device_type = "hpu" + elif is_mps_available(): + expected_device_type = "mps" + else: + expected_device_type = "cuda" + num_devices = len([d for d in max_memory if torch.device(d).type == expected_device_type and max_memory[d] > 0]) + + if num_devices == 0: + return max_memory + + if num_devices == 1: + # We cannot do low_zero on just one GPU, but we will still reserve some memory for the buffer + low_zero = False + # If user just asked us to handle memory usage, we should avoid OOM + if user_not_set_max_memory: + for key in max_memory.keys(): + if isinstance(key, int): + max_memory[key] *= 0.9 # 90% is a good compromise + logger.info( + f"We will use 90% of the memory on device {key} for storing the model, and 10% for the buffer to avoid OOM. " + "You can set `max_memory` in to a higher value to use more memory (at your own risk)." + ) + break # only one device + + module_sizes = compute_module_sizes(model, dtype=dtype, special_dtypes=special_dtypes) + per_gpu = module_sizes[""] // (num_devices - 1 if low_zero else num_devices) + + # We can't just set the memory to model_size // num_devices as it will end being too small: each GPU will get + # slightly less layers and some layers will end up offload at the end. So this function computes a buffer size to + # add which is the biggest of: + # - the size of no split block (if applicable) + # - the mean of the layer sizes + if no_split_module_classes is None: + no_split_module_classes = [] + elif not isinstance(no_split_module_classes, (list, tuple)): + no_split_module_classes = [no_split_module_classes] + + # Identify the size of the no_split_block modules + if len(no_split_module_classes) > 0: + no_split_children = {} + for name, size in module_sizes.items(): + if name == "": + continue + submodule = model + for submodule_name in name.split("."): + submodule = getattr(submodule, submodule_name) + class_name = submodule.__class__.__name__ + if class_name in no_split_module_classes and class_name not in no_split_children: + no_split_children[class_name] = size + + if set(no_split_children.keys()) == set(no_split_module_classes): + break + buffer = max(no_split_children.values()) if len(no_split_children) > 0 else 0 + else: + buffer = 0 + + # Compute mean of final modules. In the first dict of module sizes, leaves are the parameters + leaves = get_module_leaves(module_sizes) + leaves_set = set(leaves) # Convert to set for O(1) membership testing + module_sizes = {n: v for n, v in module_sizes.items() if n not in leaves_set} + # Once removed, leaves are the final modules. + leaves = get_module_leaves(module_sizes) + mean_leaves = int(sum([module_sizes[n] for n in leaves]) / max(len(leaves), 1)) + buffer = int(1.25 * max(buffer, mean_leaves)) + per_gpu += buffer + + # Sorted list of GPUs id (we may have some gpu ids not included in the our max_memory list - let's ignore them) + gpus_idx_list = list( + sorted( + device_id for device_id, device_mem in max_memory.items() if isinstance(device_id, int) and device_mem > 0 + ) + ) + # The last device is left with max_memory just in case the buffer is not enough. + for idx in gpus_idx_list[:-1]: + max_memory[idx] = min(max_memory[0] if low_zero and idx == 0 else per_gpu, max_memory[idx]) + + if low_zero: + min_zero = max(0, module_sizes[""] - sum([max_memory[i] for i in range(1, num_devices)])) + max_memory[0] = min(min_zero, max_memory[0]) + + return max_memory + + +def calculate_maximum_sizes(model: torch.nn.Module): + "Computes the total size of the model and its largest layer" + sizes = compute_module_sizes(model) + # `transformers` models store this information for us + no_split_modules = getattr(model, "_no_split_modules", None) + if no_split_modules is None: + no_split_modules = [] + + modules_to_treat = ( + list(model.named_parameters(recurse=False)) + + list(model.named_children()) + + list(model.named_buffers(recurse=False)) + ) + largest_layer = get_max_layer_size(modules_to_treat, sizes, no_split_modules) + total_size = sizes[""] + return total_size, largest_layer + + +def _init_infer_auto_device_map( + model: nn.Module, + max_memory: Optional[dict[Union[int, str], Union[int, str]]] = None, + no_split_module_classes: Optional[list[str]] = None, + dtype: Optional[Union[str, torch.dtype]] = None, + special_dtypes: Optional[dict[str, Union[str, torch.device]]] = None, +) -> tuple[ + list[Union[int, str]], + dict[Union[int, str], Union[int, str]], + list[Union[int, str]], + list[int], + dict[str, int], + list[list[str]], + list[str], + list[tuple[str, nn.Module]], +]: + """ + Initialize variables required for computing the device map for model allocation. + """ + max_memory = get_max_memory(max_memory) + if no_split_module_classes is None: + no_split_module_classes = [] + elif not isinstance(no_split_module_classes, (list, tuple)): + no_split_module_classes = [no_split_module_classes] + + devices = list(max_memory.keys()) + if "disk" not in devices: + devices.append("disk") + gpus = [device for device in devices if device not in ["cpu", "disk"]] + + # Devices that need to keep space for a potential offloaded layer. + if "mps" in gpus: + main_devices = ["mps"] + elif len(gpus) > 0: + main_devices = [gpus[0], "cpu"] + else: + main_devices = ["cpu"] + + module_sizes = compute_module_sizes(model, dtype=dtype, special_dtypes=special_dtypes) + tied_parameters = find_tied_parameters(model) + if check_tied_parameters_in_config(model) and len(tied_parameters) == 0: + logger.warning( + "The model weights are not tied. Please use the `tie_weights` method before using the `infer_auto_device` function." + ) + + # Direct submodules and parameters + modules_to_treat = ( + list(model.named_parameters(recurse=False)) + + list(model.named_children()) + + list(model.named_buffers(recurse=False)) + ) + + return ( + devices, + max_memory, + main_devices, + gpus, + module_sizes, + tied_parameters, + no_split_module_classes, + modules_to_treat, + ) + + +def get_module_size_with_ties( + tied_params, + module_size, + module_sizes, + modules_to_treat, +) -> tuple[int, list[str], list[nn.Module]]: + """ + Calculate the total size of a module, including its tied parameters. + + Args: + tied_params (`List[str]`): The list of tied parameters. + module_size (`int`): The size of the module without tied parameters. + module_sizes (`Dict[str, int]`): A dictionary mapping each layer name to its size. + modules_to_treat (`List[Tuple[str, nn.Module]]`): The list of named modules to treat. + + Returns: + `Tuple[int, List[str], List[nn.Module]]`: The total size of the module, the names of the tied modules, and the + tied modules. + """ + if len(tied_params) < 1: + return module_size, [], [] + tied_module_names = [] + tied_modules = [] + + for tied_param in tied_params: + tied_module_index = [i for i, (n, _) in enumerate(modules_to_treat) if tied_param.startswith(n + ".")][0] + tied_module_names.append(modules_to_treat[tied_module_index][0]) + tied_modules.append(modules_to_treat[tied_module_index][1]) + + module_size_with_ties = module_size + for tied_param, tied_module_name in zip(tied_params, tied_module_names): + module_size_with_ties += module_sizes[tied_module_name] - module_sizes[tied_param] + + return module_size_with_ties, tied_module_names, tied_modules + + +def fallback_allocate( + modules: list[tuple[str, nn.Module]], + module_sizes: dict[str, int], + size_limit: Union[int, str], + no_split_module_classes: Optional[list[str]] = None, + tied_parameters: Optional[list[list[str]]] = None, +) -> tuple[Optional[str], Optional[nn.Module], list[tuple[str, nn.Module]]]: + """ + Find a module that fits in the size limit using BFS and return it with its name and the remaining modules. + + Args: + modules (`List[Tuple[str, nn.Module]]`): + The list of named modules to search in. + module_sizes (`Dict[str, int]`): + A dictionary mapping each layer name to its size (as generated by `compute_module_sizes`). + size_limit (`Union[int, str]`): + The maximum size a module can have. + no_split_module_classes (`Optional[List[str]]`, *optional*): + A list of class names for layers we don't want to be split. + tied_parameters (`Optional[List[List[str]]`, *optional*): + A list of lists of parameter names being all tied together. + + Returns: + `Tuple[Optional[str], Optional[nn.Module], List[Tuple[str, nn.Module]]]`: A tuple containing: + - The name of the module that fits within the size limit. + - The module itself. + - The list of remaining modules after the found module is removed. + """ + try: + size_limit = convert_file_size_to_int(size_limit) + except ValueError: + return None, None, modules + + if no_split_module_classes is None: + no_split_module_classes = [] + + if tied_parameters is None: + tied_parameters = [] + + modules_to_search = modules.copy() + module_found = False + + while modules_to_search: + name, module = modules_to_search.pop(0) + + tied_param_groups = [ + tied_group + for tied_group in tied_parameters + if any(name + "." in k + "." for k in tied_group) and not all(name + "." in k + "." for k in tied_group) + ] + + tied_params = sum( + [[p for p in tied_group if name + "." not in p + "."] for tied_group in tied_param_groups], [] + ) + + module_size_with_ties, _, _ = get_module_size_with_ties( + tied_params, module_sizes[name], module_sizes, modules_to_search + ) + + # If the module fits in the size limit, we found it. + if module_size_with_ties <= size_limit: + module_found = True + break + + # The module is too big, we need to split it if possible. + modules_children = ( + [] + if isinstance(module, nn.Parameter) or isinstance(module, torch.Tensor) + else list(module.named_children()) + ) + + # Split fails, move to the next module + if len(modules_children) == 0 or module.__class__.__name__ in no_split_module_classes: + continue + + # split is possible, add the children to the list of modules to search + modules_children = list(module.named_parameters(recurse=False)) + modules_children + modules_to_search = [(f"{name}.{n}", v) for n, v in modules_children] + modules_to_search + + if not module_found: + return None, None, modules + + # Prepare the module list for removal of the found module + current_names = [n for n, _ in modules] + dot_idx = [i for i, c in enumerate(name) if c == "."] + + for dot_index in dot_idx: + parent_name = name[:dot_index] + if parent_name in current_names: + parent_module_idx = current_names.index(parent_name) + _, parent_module = modules[parent_module_idx] + module_children = list(parent_module.named_parameters(recurse=False)) + list( + parent_module.named_children() + ) + modules = ( + modules[:parent_module_idx] + + [(f"{parent_name}.{n}", v) for n, v in module_children] + + modules[parent_module_idx + 1 :] + ) + current_names = [n for n, _ in modules] + + # Now the target module should be directly in the list + target_idx = current_names.index(name) + name, module = modules.pop(target_idx) + + return name, module, modules + + +def infer_auto_device_map( + model: nn.Module, + max_memory: Optional[dict[Union[int, str], Union[int, str]]] = None, + no_split_module_classes: Optional[list[str]] = None, + dtype: Optional[Union[str, torch.dtype]] = None, + special_dtypes: Optional[dict[str, Union[str, torch.dtype]]] = None, + verbose: bool = False, + clean_result: bool = True, + offload_buffers: bool = False, + fallback_allocation: bool = False, +): + """ + Compute a device map for a given model giving priority to GPUs, then offload on CPU and finally offload to disk, + such that: + - we don't exceed the memory available of any of the GPU. + - if offload to the CPU is needed, there is always room left on GPU 0 to put back the layer offloaded on CPU that + has the largest size. + - if offload to the CPU is needed,we don't exceed the RAM available on the CPU. + - if offload to the disk is needed, there is always room left on the CPU to put back the layer offloaded on disk + that has the largest size. + + + + All computation is done analyzing sizes and dtypes of the model parameters. As a result, the model can be on the + meta device (as it would if initialized within the `init_empty_weights` context manager). + + + + Args: + model (`torch.nn.Module`): + The model to analyze. + max_memory (`Dict`, *optional*): + A dictionary device identifier to maximum memory. Will default to the maximum memory available if unset. + Example: `max_memory={0: "1GB"}`. + no_split_module_classes (`List[str]`, *optional*): + A list of layer class names that should never be split across device (for instance any layer that has a + residual connection). + dtype (`str` or `torch.dtype`, *optional*): + If provided, the weights will be converted to that type when loaded. + special_dtypes (`Dict[str, Union[str, torch.device]]`, *optional*): + If provided, special dtypes to consider for some specific weights (will override dtype used as default for + all weights). + verbose (`bool`, *optional*, defaults to `False`): + Whether or not to provide debugging statements as the function builds the device_map. + clean_result (`bool`, *optional*, defaults to `True`): + Clean the resulting device_map by grouping all submodules that go on the same device together. + offload_buffers (`bool`, *optional*, defaults to `False`): + In the layers that are offloaded on the CPU or the hard drive, whether or not to offload the buffers as + well as the parameters. + fallback_allocation (`bool`, *optional*, defaults to `False`): + When regular allocation fails, try to allocate a module that fits in the size limit using BFS. + """ + + # Initialize the variables + ( + devices, + max_memory, + main_devices, + gpus, + module_sizes, + tied_parameters, + no_split_module_classes, + modules_to_treat, + ) = _init_infer_auto_device_map(model, max_memory, no_split_module_classes, dtype, special_dtypes) + + device_map = OrderedDict() + current_device = 0 + device_memory_used = {device: 0 for device in devices} + device_buffer_sizes = {} + device_minimum_assignment_memory = {} + + # Initialize maximum largest layer, to know which space to keep in memory + max_layer_size, max_layer_names = get_max_layer_size(modules_to_treat, module_sizes, no_split_module_classes) + + # Ready ? This is going to be a bit messy. + while len(modules_to_treat) > 0: + name, module = modules_to_treat.pop(0) + if verbose: + print(f"\nTreating module {name}.") + # Max size in the remaining layers may have changed since we took one, so we maybe update it. + max_layer_names = [n for n in max_layer_names if n != name and not n.startswith(name + ".")] + if len(max_layer_names) == 0: + max_layer_size, max_layer_names = get_max_layer_size( + [(n, m) for n, m in modules_to_treat if isinstance(m, torch.nn.Module)], + module_sizes, + no_split_module_classes, + ) + # Assess size needed + module_size = module_sizes[name] + + # We keep relevant tied parameters only: one of the tied parameters in the group is inside the current module + # and the other is not. + # Note: If we are currently processing the name `compute.weight`, an other parameter named + # e.g. `compute.weight_submodule.parameter` + # needs to be considered outside the current module, hence the check with additional dots. + tied_param_groups = [ + tied_group + for tied_group in tied_parameters + if any(name + "." in k + "." for k in tied_group) and not all(name + "." in k + "." for k in tied_group) + ] + + if verbose and len(tied_param_groups) > 0: + print(f" Found the relevant tied param groups {tied_param_groups}") + + # Then we keep track of all the parameters that are tied to the current module, but not in the current module + tied_params = sum( + [[p for p in tied_group if name + "." not in p + "."] for tied_group in tied_param_groups], [] + ) + + if verbose and len(tied_params) > 0: + print(f" So those parameters need to be taken into account {tied_params}") + + device = devices[current_device] + current_max_size = max_memory[device] if device != "disk" else None + current_memory_reserved = 0 + # Reduce max size available by the largest layer. + if devices[current_device] in main_devices: + current_max_size = current_max_size - max_layer_size + current_memory_reserved = max_layer_size + + module_size_with_ties, tied_module_names, tied_modules = get_module_size_with_ties( + tied_params, module_size, module_sizes, modules_to_treat + ) + + # The module and its tied modules fit on the current device. + if current_max_size is None or device_memory_used[device] + module_size_with_ties <= current_max_size: + if verbose: + output = f"Putting {name}" + + if tied_module_names: + output += f" and {tied_module_names}" + else: + output += f" (size={module_size})" + + if current_max_size is not None: + output += f" (available={current_max_size - device_memory_used[device]})" + + output += f" on {device}." + print(output) + + device_memory_used[device] += module_size_with_ties + + # Assign the primary module to the device. + device_map[name] = device + + # Assign tied modules if any. + for tied_module_name in tied_module_names: + if tied_module_name in [m[0] for m in modules_to_treat]: + # Find the index of the tied module in the list + tied_module_index = next(i for i, (n, _) in enumerate(modules_to_treat) if n == tied_module_name) + # Remove the tied module from the list to prevent reprocessing + modules_to_treat.pop(tied_module_index) + + # Assign the tied module to the device + device_map[tied_module_name] = device + + # Buffer Handling + if not offload_buffers and isinstance(module, nn.Module): + # Compute the total buffer size for the module + current_buffer_size = compute_module_total_buffer_size( + module, dtype=dtype, special_dtypes=special_dtypes + ) + # Update the buffer size on the device + device_buffer_sizes[device] = device_buffer_sizes.get(device, 0) + current_buffer_size + + continue + + # The current module itself fits, so we try to split the tied modules. + if len(tied_params) > 0 and device_memory_used[device] + module_size <= current_max_size: + # can we split one of the tied modules to make it smaller or do we need to go on the next device? + if verbose: + print( + f"Not enough space on {devices[current_device]} to put {name} and {tied_module_names} (space " + f"available {current_max_size - device_memory_used[device]}, needed size {module_size_with_ties})." + ) + split_happened = False + for tied_module_name, tied_module in zip(tied_module_names, tied_modules): + tied_module_children = list(tied_module.named_children()) + if len(tied_module_children) == 0 or tied_module.__class__.__name__ in no_split_module_classes: + # can't break this one. + continue + + if verbose: + print(f"Splitting {tied_module_name}.") + tied_module_children = list(tied_module.named_parameters(recurse=False)) + tied_module_children + tied_module_children = [(f"{tied_module_name}.{n}", v) for n, v in tied_module_children] + tied_module_index = [i for i, (n, _) in enumerate(modules_to_treat) if n == tied_module_name][0] + + modules_to_treat = ( + [(name, module)] + + modules_to_treat[:tied_module_index] + + tied_module_children + + modules_to_treat[tied_module_index + 1 :] + ) + # Update the max layer size. + max_layer_size, max_layer_names = get_max_layer_size( + [(n, m) for n, m in modules_to_treat if isinstance(m, torch.nn.Module)], + module_sizes, + no_split_module_classes, + ) + split_happened = True + break + + if split_happened: + continue + + # If the tied module is not split, we go to the next device + if verbose: + print("None of the tied module can be split, going to the next device.") + + # The current module itself doesn't fit, so we have to split it or go to the next device. + if device_memory_used[device] + module_size >= current_max_size: + # Split or not split? + modules_children = ( + [] + if isinstance(module, nn.Parameter) or isinstance(module, torch.Tensor) + else list(module.named_children()) + ) + if verbose: + print( + f"Not enough space on {devices[current_device]} to put {name} (space available " + f"{current_max_size - device_memory_used[device]}, module size {module_size})." + ) + if len(modules_children) == 0 or module.__class__.__name__ in no_split_module_classes: + # -> no split, we go to the next device + if verbose: + print("This module cannot be split, going to the next device.") + + else: + # -> split, we replace the module studied by its children + parameters + if verbose: + print(f"Splitting {name}.") + modules_children = list(module.named_parameters(recurse=False)) + modules_children + modules_to_treat = [(f"{name}.{n}", v) for n, v in modules_children] + modules_to_treat + # Update the max layer size. + max_layer_size, max_layer_names = get_max_layer_size( + [(n, m) for n, m in modules_to_treat if isinstance(m, torch.nn.Module)], + module_sizes, + no_split_module_classes, + ) + continue + + # If no module is assigned to the current device, we attempt to allocate a fallback module + # if fallback_allocation is enabled. + if device_memory_used[device] == 0 and fallback_allocation and device != "disk": + # We try to allocate a module that fits in the size limit using BFS. + # Recompute the current max size as we need to consider the current module as well. + current_max_size = max_memory[device] - max(max_layer_size, module_size_with_ties) + + fallback_module_name, fallback_module, remaining_modules = fallback_allocate( + modules_to_treat, + module_sizes, + current_max_size - device_memory_used[device], + no_split_module_classes, + tied_parameters, + ) + # use the next iteration to put the fallback module on the next device to avoid code duplication + if fallback_module is not None: + modules_to_treat = [(fallback_module_name, fallback_module)] + [(name, module)] + remaining_modules + continue + + if device_memory_used[device] == 0: + device_minimum_assignment_memory[device] = module_size_with_ties + current_memory_reserved + + # Neither the current module nor any tied modules can be split, so we move to the next device. + device_memory_used[device] = device_memory_used[device] + current_memory_reserved + current_device += 1 + modules_to_treat = [(name, module)] + modules_to_treat + + device_memory_used = {device: mem for device, mem in device_memory_used.items() if mem > 0} + + if clean_result: + device_map = clean_device_map(device_map) + + non_gpu_buffer_size = device_buffer_sizes.get("cpu", 0) + device_buffer_sizes.get("disk", 0) + if non_gpu_buffer_size > 0 and not offload_buffers: + is_buffer_fit_any_gpu = False + for gpu_device, gpu_max_memory in max_memory.items(): + if gpu_device == "cpu" or gpu_device == "disk": + continue + + if not is_buffer_fit_any_gpu: + gpu_memory_used = device_memory_used.get(gpu_device, 0) + + if gpu_max_memory >= non_gpu_buffer_size + gpu_memory_used: + is_buffer_fit_any_gpu = True + + if len(gpus) > 0 and not is_buffer_fit_any_gpu: + warnings.warn( + f"Current model requires {non_gpu_buffer_size} bytes of buffer for offloaded layers, which seems does " + f"not fit any GPU's remaining memory. If you are experiencing a OOM later, please consider using " + f"offload_buffers=True." + ) + + if device_minimum_assignment_memory: + devices_info = "\n".join( + f" - {device}: {mem} bytes required" for device, mem in device_minimum_assignment_memory.items() + ) + logger.info( + f"Based on the current allocation process, no modules could be assigned to the following devices due to " + f"insufficient memory:\n" + f"{devices_info}\n" + f"These minimum requirements are specific to this allocation attempt and may vary. Consider increasing " + f"the available memory for these devices to at least the specified minimum, or adjusting the model config." + ) + return device_map + + +def check_device_map(model: nn.Module, device_map: dict[str, Union[int, str, torch.device]]): + """ + Checks a device map covers everything in a given model. + + Args: + model (`torch.nn.Module`): The model to check the device map against. + device_map (`Dict[str, Union[int, str, torch.device]]`): The device map to check. + """ + all_module_names = dict(model.named_modules()) + invalid_keys = [k for k in device_map if k != "" and k not in all_module_names] + + if invalid_keys: + warnings.warn( + f"The following device_map keys do not match any submodules in the model: {invalid_keys}", UserWarning + ) + + all_model_tensors = [name for name, _ in model.state_dict().items()] + for module_name in device_map.keys(): + if module_name == "": + all_model_tensors.clear() + break + else: + all_model_tensors = [ + name + for name in all_model_tensors + if not name == module_name and not name.startswith(module_name + ".") + ] + if len(all_model_tensors) > 0: + non_covered_params = ", ".join(all_model_tensors) + raise ValueError( + f"The device_map provided does not give any device for the following parameters: {non_covered_params}" + ) + + +def load_state_dict(checkpoint_file, device_map=None): + """ + Load a checkpoint from a given file. If the checkpoint is in the safetensors format and a device map is passed, the + weights can be fast-loaded directly on the GPU. + + Args: + checkpoint_file (`str`): The path to the checkpoint to load. + device_map (`Dict[str, Union[int, str, torch.device]]`, *optional*): + A map that specifies where each submodule should go. It doesn't need to be refined to each parameter/buffer + name, once a given module name is inside, every submodule of it will be sent to the same device. + """ + if checkpoint_file.endswith(".safetensors"): + with safe_open(checkpoint_file, framework="pt") as f: + metadata = f.metadata() + weight_names = f.keys() + + if metadata is None: + logger.warning( + f"The safetensors archive passed at {checkpoint_file} does not contain metadata. " + "Make sure to save your model with the `save_pretrained` method. Defaulting to 'pt' metadata." + ) + metadata = {"format": "pt"} + + if metadata.get("format") not in ["pt", "tf", "flax"]: + raise OSError( + f"The safetensors archive passed at {checkpoint_file} does not contain the valid metadata. Make sure " + "you save your model with the `save_pretrained` method." + ) + elif metadata["format"] != "pt": + raise ValueError(f"The checkpoint passed was saved with {metadata['format']}, we need a the pt format.") + if device_map is None: + return safe_load_file(checkpoint_file) + else: + # if we only have one device we can load everything directly + if len(set(device_map.values())) == 1: + device = list(device_map.values())[0] + target_device = device + if isinstance(device, int): + if is_npu_available(): + target_device = f"npu:{device}" + elif is_hpu_available(): + target_device = "hpu" + + return safe_load_file(checkpoint_file, device=target_device) + + devices = list(set(device_map.values()) - {"disk"}) + # cpu device should always exist as fallback option + if "cpu" not in devices: + devices.append("cpu") + + # For each device, get the weights that go there + device_weights = {device: [] for device in devices} + for module_name, device in device_map.items(): + if device in devices: + device_weights[device].extend( + [k for k in weight_names if k == module_name or k.startswith(module_name + ".")] + ) + + # all weights that haven't defined a device should be loaded on CPU + device_weights["cpu"].extend([k for k in weight_names if k not in sum(device_weights.values(), [])]) + tensors = {} + if is_tqdm_available(): + progress_bar = tqdm( + main_process_only=False, + total=sum([len(device_weights[device]) for device in devices]), + unit="w", + smoothing=0, + leave=False, + ) + else: + progress_bar = None + for device in devices: + target_device = device + if isinstance(device, int): + if is_npu_available(): + target_device = f"npu:{device}" + elif is_hpu_available(): + target_device = "hpu" + + with safe_open(checkpoint_file, framework="pt", device=target_device) as f: + for key in device_weights[device]: + if progress_bar is not None: + progress_bar.set_postfix(dev=device, refresh=False) + progress_bar.set_description(key) + tensors[key] = f.get_tensor(key) + if progress_bar is not None: + progress_bar.update() + if progress_bar is not None: + progress_bar.close() + + return tensors + else: + return torch.load(checkpoint_file, map_location=torch.device("cpu"), weights_only=True) + + +def get_state_dict_offloaded_model(model: nn.Module): + """ + Returns the state dictionary for an offloaded model via iterative onloading + + Args: + model (`torch.nn.Module`): + The offloaded model we want to save + """ + + state_dict = {} + placeholders = set() + for name, module in model.named_modules(): + if name == "": + continue + + try: + with align_module_device(module, "cpu"): + module_state_dict = module.state_dict() + except MemoryError: + raise MemoryError("Offloaded module must fit in CPU memory to call save_model!") from None + + for key in module_state_dict: + # ignore placeholder parameters that are still on the meta device + if module_state_dict[key].device == torch.device("meta"): + placeholders.add(name + f".{key}") + continue + params = module_state_dict[key] + state_dict[name + f".{key}"] = params.to("cpu") # move buffers to cpu + for key in placeholders.copy(): + if key in state_dict: + placeholders.remove(key) + if placeholders: + logger.warning(f"The following tensors were not saved because they were still on meta device: {placeholders}") + + return state_dict + + +def get_state_dict_from_offload( + module: nn.Module, + module_name: str, + state_dict: dict[str, Union[str, torch.tensor]], + device_to_put_offload: Union[int, str, torch.device] = "cpu", +): + """ + Retrieve the state dictionary (with parameters) from an offloaded module and load into a specified device (defaults + to cpu). + + Args: + module: (`torch.nn.Module`): + The module we want to retrieve a state dictionary from + module_name: (`str`): + The name of the module of interest + state_dict (`Dict[str, Union[int, str, torch.device]]`): + Dictionary of {module names: parameters} + device_to_put_offload (`Union[int, str, torch.device]`): + Device to load offloaded parameters into, defaults to the cpu. + """ + + root = module_name[: module_name.rfind(".")] # module name without .weight or .bias + + # do not move parameters if the module is not offloaded + if not has_offloaded_params(module): + device_to_put_offload = None + + # assign the device to which the offloaded parameters will be sent + with align_module_device(module, device_to_put_offload): + for m_key, params in module.state_dict().items(): + if (root + f".{m_key}") in state_dict: + state_dict[root + f".{m_key}"] = params + + return state_dict + + +def load_checkpoint_in_model( + model: nn.Module, + checkpoint: Union[str, os.PathLike], + device_map: Optional[dict[str, Union[int, str, torch.device]]] = None, + offload_folder: Optional[Union[str, os.PathLike]] = None, + dtype: Optional[Union[str, torch.dtype]] = None, + offload_state_dict: bool = False, + offload_buffers: bool = False, + keep_in_fp32_modules: Optional[list[str]] = None, + offload_8bit_bnb: bool = False, + strict: bool = False, + full_state_dict: bool = True, + broadcast_from_rank0: bool = False, +): + """ + Loads a (potentially sharded) checkpoint inside a model, potentially sending weights to a given device as they are + loaded. + + + + Once loaded across devices, you still need to call [`dispatch_model`] on your model to make it able to run. To + group the checkpoint loading and dispatch in one single call, use [`load_checkpoint_and_dispatch`]. + + + + Args: + model (`torch.nn.Module`): + The model in which we want to load a checkpoint. + checkpoint (`str` or `os.PathLike`): + The folder checkpoint to load. It can be: + - a path to a file containing a whole model state dict + - a path to a `.json` file containing the index to a sharded checkpoint + - a path to a folder containing a unique `.index.json` file and the shards of a checkpoint. + - a path to a folder containing a unique pytorch_model.bin or a model.safetensors file. + device_map (`Dict[str, Union[int, str, torch.device]]`, *optional*): + A map that specifies where each submodule should go. It doesn't need to be refined to each parameter/buffer + name, once a given module name is inside, every submodule of it will be sent to the same device. + offload_folder (`str` or `os.PathLike`, *optional*): + If the `device_map` contains any value `"disk"`, the folder where we will offload weights. + dtype (`str` or `torch.dtype`, *optional*): + If provided, the weights will be converted to that type when loaded. + offload_state_dict (`bool`, *optional*, defaults to `False`): + If `True`, will temporarily offload the CPU state dict on the hard drive to avoid getting out of CPU RAM if + the weight of the CPU state dict + the biggest shard does not fit. + offload_buffers (`bool`, *optional*, defaults to `False`): + Whether or not to include the buffers in the weights offloaded to disk. + keep_in_fp32_modules(`List[str]`, *optional*): + A list of the modules that we keep in `torch.float32` dtype. + offload_8bit_bnb (`bool`, *optional*): + Whether or not to enable offload of 8-bit modules on cpu/disk. + strict (`bool`, *optional*, defaults to `False`): + Whether to strictly enforce that the keys in the checkpoint state_dict match the keys of the model's + state_dict. + full_state_dict (`bool`, *optional*, defaults to `True`): if this is set to `True`, all the tensors in the + loaded state_dict will be gathered. No ShardedTensor and DTensor will be in the loaded state_dict. + broadcast_from_rank0 (`False`, *optional*, defaults to `False`): when the option is `True`, a distributed + `ProcessGroup` must be initialized. rank0 should receive a full state_dict and will broadcast the tensors + in the state_dict one by one to other ranks. Other ranks will receive the tensors and shard (if applicable) + according to the local shards in the model. + + """ + if offload_8bit_bnb: + from .bnb import quantize_and_offload_8bit + + tied_params = find_tied_parameters(model) + + if check_tied_parameters_in_config(model) and len(tied_params) == 0: + logger.warning( + "The model weights are not tied. Please use the `tie_weights` method before using the `infer_auto_device` function." + ) + if device_map is not None: + check_tied_parameters_on_same_device(tied_params, device_map) + + if offload_folder is None and device_map is not None and "disk" in device_map.values(): + raise ValueError( + "At least one of the model submodule will be offloaded to disk, please pass along an `offload_folder`." + ) + elif offload_folder is not None and device_map is not None and "disk" in device_map.values(): + os.makedirs(offload_folder, exist_ok=True) + + if isinstance(dtype, str): + # We accept "torch.float16" or just "float16" + dtype = dtype.replace("torch.", "") + dtype = getattr(torch, dtype) + + checkpoint_files = None + index_filename = None + if os.path.isfile(checkpoint): + if str(checkpoint).endswith(".json"): + index_filename = checkpoint + else: + checkpoint_files = [checkpoint] + elif os.path.isdir(checkpoint): + # check if the whole state dict is present + potential_state_bin = [f for f in os.listdir(checkpoint) if f == WEIGHTS_NAME] + potential_state_safetensor = [f for f in os.listdir(checkpoint) if f == SAFE_WEIGHTS_NAME] + if len(potential_state_bin) == 1: + checkpoint_files = [os.path.join(checkpoint, potential_state_bin[0])] + elif len(potential_state_safetensor) == 1: + checkpoint_files = [os.path.join(checkpoint, potential_state_safetensor[0])] + else: + # otherwise check for sharded checkpoints + potential_index = [f for f in os.listdir(checkpoint) if f.endswith(".index.json")] + if len(potential_index) == 0: + raise ValueError( + f"{checkpoint} is not a folder containing a `.index.json` file or a {WEIGHTS_NAME} or a {SAFE_WEIGHTS_NAME} file" + ) + elif len(potential_index) == 1: + index_filename = os.path.join(checkpoint, potential_index[0]) + else: + raise ValueError( + f"{checkpoint} containing more than one `.index.json` file, delete the irrelevant ones." + ) + else: + raise ValueError( + "`checkpoint` should be the path to a file containing a whole state dict, or the index of a sharded " + f"checkpoint, or a folder containing a sharded checkpoint or the whole state dict, but got {checkpoint}." + ) + + if index_filename is not None: + checkpoint_folder = os.path.split(index_filename)[0] + with open(index_filename) as f: + index = json.loads(f.read()) + + if "weight_map" in index: + index = index["weight_map"] + checkpoint_files = sorted(list(set(index.values()))) + checkpoint_files = [os.path.join(checkpoint_folder, f) for f in checkpoint_files] + + # Logic for missing/unexepected keys goes here. + + offload_index = {} + if offload_state_dict: + state_dict_folder = tempfile.mkdtemp() + state_dict_index = {} + + unexpected_keys = set() + model_keys = set(model.state_dict().keys()) + buffer_names = [name for name, _ in model.named_buffers()] + model_devices = {t.device for t in model.state_dict().values() if isinstance(t, torch.Tensor)} + model_physical_devices = model_devices - {torch.device("meta")} + for checkpoint_file in checkpoint_files: + if device_map is None: + # exception for multi-device loading was made for the meta device in torch v2.7.0 + # https://github.com/pytorch/pytorch/blob/v2.6.0/torch/distributed/checkpoint/state_dict.py#L557-L563 + # https://github.com/pytorch/pytorch/blob/v2.7.0-rc2/torch/distributed/checkpoint/state_dict.py#L575-L587 + if is_torch_version(">=", "2.2.0") and ( + (is_torch_version(">=", "2.7.0") and len(model_physical_devices) <= 1) or len(model_devices) <= 1 + ): + from torch.distributed.checkpoint.state_dict import StateDictOptions, set_model_state_dict + + broadcast_from_rank0 &= is_torch_version(">=", "2.4.0") + loaded_checkpoint = ( + load_state_dict(checkpoint_file, device_map=device_map) + if not broadcast_from_rank0 or dist.get_rank() == 0 + else {} + ) + set_model_state_dict( + model, + loaded_checkpoint, + options=StateDictOptions( + full_state_dict=full_state_dict, + strict=strict, + **({"broadcast_from_rank0": broadcast_from_rank0} if is_torch_version(">=", "2.4.0") else {}), + ), + ) + else: + loaded_checkpoint = load_state_dict(checkpoint_file, device_map=device_map) + model.load_state_dict(loaded_checkpoint, strict=strict) + + unexpected_keys.update(set(loaded_checkpoint.keys()) - model_keys) + else: + loaded_checkpoint = load_state_dict(checkpoint_file, device_map=device_map) + + for param_name, param in loaded_checkpoint.items(): + # skip SCB parameter (for 8-bit serialization) + if "SCB" in param_name: + continue + + if param_name not in model_keys: + unexpected_keys.add(param_name) + if not strict: + continue # Skip loading this parameter. + + module_name = param_name + + while len(module_name) > 0 and module_name not in device_map: + module_name = ".".join(module_name.split(".")[:-1]) + if module_name == "" and "" not in device_map: + # TODO: group all errors and raise at the end. + raise ValueError(f"{param_name} doesn't have any device set.") + param_device = device_map[module_name] + new_dtype = dtype + if dtype is not None and torch.is_floating_point(param): + if keep_in_fp32_modules is not None and dtype == torch.float16: + proceed = False + for key in keep_in_fp32_modules: + if ((key in param_name) and (key + "." in param_name)) or key == param_name: + proceed = True + break + if proceed: + new_dtype = torch.float32 + + if "weight" in param_name and param_name.replace("weight", "SCB") in loaded_checkpoint.keys(): + if param.dtype == torch.int8: + fp16_statistics = loaded_checkpoint[param_name.replace("weight", "SCB")] + else: + fp16_statistics = None + + if param_device == "disk": + if offload_buffers or param_name not in buffer_names: + if new_dtype is None: + new_dtype = param.dtype + if offload_8bit_bnb: + quantize_and_offload_8bit( + model, param, param_name, new_dtype, offload_folder, offload_index, fp16_statistics + ) + continue + else: + set_module_tensor_to_device(model, param_name, "meta", dtype=new_dtype) + offload_weight(param, param_name, offload_folder, index=offload_index) + elif param_device == "cpu" and offload_state_dict: + if new_dtype is None: + new_dtype = param.dtype + if offload_8bit_bnb: + quantize_and_offload_8bit( + model, param, param_name, new_dtype, state_dict_folder, state_dict_index, fp16_statistics + ) + else: + set_module_tensor_to_device(model, param_name, "meta", dtype=new_dtype) + offload_weight(param, param_name, state_dict_folder, index=state_dict_index) + else: + set_module_tensor_to_device( + model, + param_name, + param_device, + value=param, + dtype=new_dtype, + fp16_statistics=fp16_statistics, + ) + + # Force Python to clean up. + del loaded_checkpoint + gc.collect() + + if not strict and len(unexpected_keys) > 0: + logger.warning( + f"Some weights of the model checkpoint at {checkpoint} were not used when" + f" initializing {model.__class__.__name__}: {unexpected_keys}. This may or may not be an issue - make sure that the checkpoint does not have unnecessary parameters, or that the model definition correctly corresponds to the checkpoint." + ) + + save_offload_index(offload_index, offload_folder) + + # Load back offloaded state dict on CPU + if offload_state_dict: + load_offloaded_weights(model, state_dict_index, state_dict_folder) + shutil.rmtree(state_dict_folder) + + retie_parameters(model, tied_params) + + +def get_mixed_precision_context_manager(native_amp: bool = False, autocast_kwargs: AutocastKwargs = None): + """ + Return a context manager for autocasting mixed precision + + Args: + native_amp (`bool`, *optional*, defaults to False): + Whether mixed precision is actually enabled. + cache_enabled (`bool`, *optional*, defaults to True): + Whether the weight cache inside autocast should be enabled. + """ + state = AcceleratorState() + if autocast_kwargs is None: + autocast_kwargs = {} + else: + autocast_kwargs = autocast_kwargs.to_kwargs() + if native_amp: + device_type = ( + "cuda" + if (state.distributed_type == DistributedType.XLA and is_torch_xla_available(check_is_gpu=True)) + else state.device.type + ) + if state.mixed_precision == "fp16": + return torch.autocast(device_type=device_type, dtype=torch.float16, **autocast_kwargs) + elif state.mixed_precision in ["bf16", "fp8"] and state.distributed_type in [ + DistributedType.NO, + DistributedType.MULTI_CPU, + DistributedType.MULTI_GPU, + DistributedType.MULTI_MLU, + DistributedType.MULTI_SDAA, + DistributedType.MULTI_MUSA, + DistributedType.MULTI_NPU, + DistributedType.MULTI_XPU, + DistributedType.MULTI_HPU, + DistributedType.FSDP, + DistributedType.XLA, + ]: + return torch.autocast(device_type=device_type, dtype=torch.bfloat16, **autocast_kwargs) + else: + return torch.autocast(device_type=device_type, **autocast_kwargs) + else: + return contextlib.nullcontext() + + +def get_grad_scaler(distributed_type: DistributedType = None, **kwargs): + """ + A generic helper which will initialize the correct `GradScaler` implementation based on the environment and return + it. + + Args: + distributed_type (`DistributedType`, *optional*, defaults to None): + The type of distributed environment. + kwargs: + Additional arguments for the utilized `GradScaler` constructor. + """ + if distributed_type == DistributedType.FSDP: + from torch.distributed.fsdp.sharded_grad_scaler import ShardedGradScaler + + return ShardedGradScaler(**kwargs) + if is_torch_xla_available(check_is_gpu=True): + import torch_xla.amp as xamp + + return xamp.GradScaler(**kwargs) + elif is_mlu_available(): + return torch.mlu.amp.GradScaler(**kwargs) + elif is_sdaa_available(): + return torch.sdaa.amp.GradScaler(**kwargs) + elif is_musa_available(): + return torch.musa.amp.GradScaler(**kwargs) + elif is_npu_available(): + return torch.npu.amp.GradScaler(**kwargs) + elif is_hpu_available(): + return torch.amp.GradScaler("hpu", **kwargs) + elif is_xpu_available(): + return torch.amp.GradScaler("xpu", **kwargs) + elif is_mps_available(): + if not is_torch_version(">=", "2.8.0"): + raise ValueError("Grad Scaler with MPS device requires a Pytorch >= 2.8.0") + return torch.amp.GradScaler("mps", **kwargs) + else: + if is_torch_version(">=", "2.3"): + return torch.amp.GradScaler("cuda", **kwargs) + else: + return torch.cuda.amp.GradScaler(**kwargs) + + +def has_offloaded_params(module: torch.nn.Module) -> bool: + """ + Checks if a module has offloaded parameters by checking if the given module has a AlignDevicesHook attached with + offloading enabled + + Args: + module (`torch.nn.Module`): The module to check for an offload hook. + + Returns: + bool: `True` if the module has an offload hook and offloading is enabled, `False` otherwise. + """ + from ..hooks import AlignDevicesHook # avoid circular import + + return hasattr(module, "_hf_hook") and isinstance(module._hf_hook, AlignDevicesHook) and module._hf_hook.offload + + +@contextlib.contextmanager +def align_module_device(module: torch.nn.Module, execution_device: Optional[torch.device] = None): + """ + Context manager that moves a module's parameters to the specified execution device. + + Args: + module (`torch.nn.Module`): + Module with parameters to align. + execution_device (`torch.device`, *optional*): + If provided, overrides the module's execution device within the context. Otherwise, use hook execution + device or pass + """ + if has_offloaded_params(module): + if execution_device is not None: + original_device = module._hf_hook.execution_device + module._hf_hook.execution_device = execution_device + + try: + module._hf_hook.pre_forward(module) + yield + finally: + module._hf_hook.post_forward(module, None) + if execution_device is not None: + module._hf_hook.execution_device = original_device + + elif execution_device is not None: + devices = {name: param.device for name, param in module.named_parameters(recurse=False)} + try: + for name in devices: + set_module_tensor_to_device(module, name, execution_device) + yield + finally: + for name, device in devices.items(): + set_module_tensor_to_device(module, name, device) + + else: + yield diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/offload.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/offload.py new file mode 100644 index 0000000000000000000000000000000000000000..da8cfaf3ebf7f2965f408e2b952103ac26868647 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/offload.py @@ -0,0 +1,213 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +import os +from collections.abc import Mapping +from typing import Optional, Union + +import numpy as np +import torch +from safetensors import safe_open + + +def offload_weight(weight, weight_name, offload_folder, index=None): + dtype = None + # Check the string instead of the dtype to be compatible with versions of PyTorch that don't have bfloat16. + if str(weight.dtype) == "torch.bfloat16": + # Need to reinterpret the underlined data as int16 since NumPy does not handle bfloat16s. + weight = weight.view(torch.int16) + dtype = "bfloat16" + array = weight.cpu().numpy() + tensor_file = os.path.join(offload_folder, f"{weight_name}.dat") + if index is not None: + if dtype is None: + dtype = str(array.dtype) + index[weight_name] = {"dtype": dtype, "shape": list(array.shape)} + if array.ndim == 0: + array = array[None] + file_array = np.memmap(tensor_file, dtype=array.dtype, mode="w+", shape=array.shape) + file_array[:] = array[:] + file_array.flush() + return index + + +def load_offloaded_weight(weight_file, weight_info): + shape = tuple(weight_info["shape"]) + if shape == (): + # NumPy memory-mapped arrays can't have 0 dims so it was saved as 1d tensor + shape = (1,) + + dtype = weight_info["dtype"] + if dtype == "bfloat16": + # NumPy does not support bfloat16 so this was saved as a int16 + dtype = "int16" + + weight = np.memmap(weight_file, dtype=dtype, shape=shape, mode="r") + + if len(weight_info["shape"]) == 0: + weight = weight[0] + weight = torch.tensor(weight) + if weight_info["dtype"] == "bfloat16": + weight = weight.view(torch.bfloat16) + + return weight + + +def save_offload_index(index, offload_folder): + if index is None or len(index) == 0: + # Nothing to save + return + + offload_index_file = os.path.join(offload_folder, "index.json") + if os.path.isfile(offload_index_file): + with open(offload_index_file, encoding="utf-8") as f: + current_index = json.load(f) + else: + current_index = {} + current_index.update(index) + + with open(offload_index_file, "w", encoding="utf-8") as f: + json.dump(current_index, f, indent=2) + + +def offload_state_dict(save_dir: Union[str, os.PathLike], state_dict: dict[str, torch.Tensor]): + """ + Offload a state dict in a given folder. + + Args: + save_dir (`str` or `os.PathLike`): + The directory in which to offload the state dict. + state_dict (`Dict[str, torch.Tensor]`): + The dictionary of tensors to offload. + """ + os.makedirs(save_dir, exist_ok=True) + index = {} + for name, parameter in state_dict.items(): + index = offload_weight(parameter, name, save_dir, index=index) + + # Update index + save_offload_index(index, save_dir) + + +class PrefixedDataset(Mapping): + """ + Will access keys in a given dataset by adding a prefix. + + Args: + dataset (`Mapping`): Any map with string keys. + prefix (`str`): A prefix to add when trying to access any element in the underlying dataset. + """ + + def __init__(self, dataset: Mapping, prefix: str): + self.dataset = dataset + self.prefix = prefix + + def __getitem__(self, key): + return self.dataset[f"{self.prefix}{key}"] + + def __iter__(self): + return iter([key for key in self.dataset if key.startswith(self.prefix)]) + + def __len__(self): + return len(self.dataset) + + +class OffloadedWeightsLoader(Mapping): + """ + A collection that loads weights stored in a given state dict or memory-mapped on disk. + + Args: + state_dict (`Dict[str, torch.Tensor]`, *optional*): + A dictionary parameter name to tensor. + save_folder (`str` or `os.PathLike`, *optional*): + The directory in which the weights are stored (by `offload_state_dict` for instance). + index (`Dict`, *optional*): + A dictionary from weight name to their information (`dtype`/ `shape` or safetensors filename). Will default + to the index saved in `save_folder`. + """ + + def __init__( + self, + state_dict: Optional[dict[str, torch.Tensor]] = None, + save_folder: Optional[Union[str, os.PathLike]] = None, + index: Optional[Mapping] = None, + device=None, + ): + if state_dict is None and save_folder is None and index is None: + raise ValueError("Need either a `state_dict`, a `save_folder` or an `index` containing offloaded weights.") + + self.state_dict = {} if state_dict is None else state_dict + self.save_folder = save_folder + if index is None and save_folder is not None: + with open(os.path.join(save_folder, "index.json")) as f: + index = json.load(f) + self.index = {} if index is None else index + self.all_keys = list(self.state_dict.keys()) + self.all_keys.extend([key for key in self.index if key not in self.all_keys]) + self.device = device + + def __getitem__(self, key: str): + # State dict gets priority + if key in self.state_dict: + return self.state_dict[key] + weight_info = self.index[key] + if weight_info.get("safetensors_file") is not None: + device = "cpu" if self.device is None else self.device + tensor = None + try: + with safe_open(weight_info["safetensors_file"], framework="pt", device=device) as f: + tensor = f.get_tensor(weight_info.get("weight_name", key)) + except TypeError: + # if failed to get_tensor on the device, such as bf16 on mps, try to load it on CPU first + with safe_open(weight_info["safetensors_file"], framework="pt", device="cpu") as f: + tensor = f.get_tensor(weight_info.get("weight_name", key)) + + if "dtype" in weight_info: + tensor = tensor.to(getattr(torch, weight_info["dtype"])) + + if tensor.device != torch.device(device): + tensor = tensor.to(device) + return tensor + + weight_file = os.path.join(self.save_folder, f"{key}.dat") + return load_offloaded_weight(weight_file, weight_info) + + def __iter__(self): + return iter(self.all_keys) + + def __len__(self): + return len(self.all_keys) + + +def extract_submodules_state_dict(state_dict: dict[str, torch.Tensor], submodule_names: list[str]): + """ + Extract the sub state-dict corresponding to a list of given submodules. + + Args: + state_dict (`Dict[str, torch.Tensor]`): The state dict to extract from. + submodule_names (`List[str]`): The list of submodule names we want to extract. + """ + result = {} + for module_name in submodule_names: + # We want to catch module_name parameter (module_name.xxx) or potentially module_name, but not any of the + # submodules that could being like module_name (transformers.h.1 and transformers.h.10 for instance) + result.update( + { + key: param + for key, param in state_dict.items() + if key == module_name or key.startswith(module_name + ".") + } + ) + return result diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/operations.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/operations.py new file mode 100644 index 0000000000000000000000000000000000000000..2357fdf03ba533714bf517e67269b3be36a78e39 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/operations.py @@ -0,0 +1,867 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +A set of basic tensor ops compatible with tpu, gpu, and multigpu +""" + +import pickle +import warnings +from collections.abc import Mapping +from contextlib import contextmanager, nullcontext +from functools import update_wrapper, wraps +from typing import Any + +import torch + +from ..state import AcceleratorState, PartialState +from .constants import TORCH_DISTRIBUTED_OPERATION_TYPES +from .dataclasses import DistributedType, TensorInformation +from .imports import ( + is_npu_available, + is_torch_distributed_available, + is_torch_xla_available, +) +from .versions import is_torch_version + + +if is_torch_xla_available(): + import torch_xla.core.xla_model as xm + +if is_torch_distributed_available(): + from torch.distributed import ReduceOp + + +def is_torch_tensor(tensor): + return isinstance(tensor, torch.Tensor) + + +def is_torch_xpu_tensor(tensor): + return isinstance( + tensor, + torch.xpu.FloatTensor, + torch.xpu.ByteTensor, + torch.xpu.IntTensor, + torch.xpu.LongTensor, + torch.xpu.HalfTensor, + torch.xpu.DoubleTensor, + torch.xpu.BFloat16Tensor, + ) + + +def is_tensor_information(tensor_info): + return isinstance(tensor_info, TensorInformation) + + +def is_namedtuple(data): + """ + Checks if `data` is a `namedtuple` or not. Can have false positives, but only if a user is trying to mimic a + `namedtuple` perfectly. + """ + return isinstance(data, tuple) and hasattr(data, "_asdict") and hasattr(data, "_fields") + + +def honor_type(obj, generator): + """ + Cast a generator to the same type as obj (list, tuple, or namedtuple) + """ + # Some objects may not be able to instantiate from a generator directly + if is_namedtuple(obj): + return type(obj)(*list(generator)) + else: + return type(obj)(generator) + + +def recursively_apply(func, data, *args, test_type=is_torch_tensor, error_on_other_type=False, **kwargs): + """ + Recursively apply a function on a data structure that is a nested list/tuple/dictionary of a given base type. + + Args: + func (`callable`): + The function to recursively apply. + data (nested list/tuple/dictionary of `main_type`): + The data on which to apply `func` + *args: + Positional arguments that will be passed to `func` when applied on the unpacked data. + main_type (`type`, *optional*, defaults to `torch.Tensor`): + The base type of the objects to which apply `func`. + error_on_other_type (`bool`, *optional*, defaults to `False`): + Whether to return an error or not if after unpacking `data`, we get on an object that is not of type + `main_type`. If `False`, the function will leave objects of types different than `main_type` unchanged. + **kwargs (additional keyword arguments, *optional*): + Keyword arguments that will be passed to `func` when applied on the unpacked data. + + Returns: + The same data structure as `data` with `func` applied to every object of type `main_type`. + """ + if isinstance(data, (tuple, list)): + return honor_type( + data, + ( + recursively_apply( + func, o, *args, test_type=test_type, error_on_other_type=error_on_other_type, **kwargs + ) + for o in data + ), + ) + elif isinstance(data, Mapping): + return type(data)( + { + k: recursively_apply( + func, v, *args, test_type=test_type, error_on_other_type=error_on_other_type, **kwargs + ) + for k, v in data.items() + } + ) + elif test_type(data): + return func(data, *args, **kwargs) + elif error_on_other_type: + raise TypeError( + f"Unsupported types ({type(data)}) passed to `{func.__name__}`. Only nested list/tuple/dicts of " + f"objects that are valid for `{test_type.__name__}` should be passed." + ) + return data + + +def send_to_device(tensor, device, non_blocking=False, skip_keys=None): + """ + Recursively sends the elements in a nested list/tuple/dictionary of tensors to a given device. + + Args: + tensor (nested list/tuple/dictionary of `torch.Tensor`): + The data to send to a given device. + device (`torch.device`): + The device to send the data to. + + Returns: + The same data structure as `tensor` with all tensors sent to the proper device. + """ + if is_torch_tensor(tensor) or hasattr(tensor, "to"): + # `torch.Tensor.to("npu")` could not find context when called for the first time (see this [issue](https://gitee.com/ascend/pytorch/issues/I8KECW?from=project-issue)). + if device == "npu": + device = "npu:0" + try: + return tensor.to(device, non_blocking=non_blocking) + except TypeError: # .to() doesn't accept non_blocking as kwarg + return tensor.to(device) + except AssertionError as error: + # `torch.Tensor.to()` is not supported by `torch_npu` (see this [issue](https://github.com/Ascend/pytorch/issues/16)). + # This call is inside the try-block since is_npu_available is not supported by torch.compile. + if is_npu_available(): + if isinstance(device, int): + device = f"npu:{device}" + else: + raise error + try: + return tensor.to(device, non_blocking=non_blocking) + except TypeError: # .to() doesn't accept non_blocking as kwarg + return tensor.to(device) + elif isinstance(tensor, (tuple, list)): + return honor_type( + tensor, (send_to_device(t, device, non_blocking=non_blocking, skip_keys=skip_keys) for t in tensor) + ) + elif isinstance(tensor, Mapping): + if isinstance(skip_keys, str): + skip_keys = [skip_keys] + elif skip_keys is None: + skip_keys = [] + return type(tensor)( + { + k: t if k in skip_keys else send_to_device(t, device, non_blocking=non_blocking, skip_keys=skip_keys) + for k, t in tensor.items() + } + ) + else: + return tensor + + +def get_data_structure(data): + """ + Recursively gathers the information needed to rebuild a nested list/tuple/dictionary of tensors. + + Args: + data (nested list/tuple/dictionary of `torch.Tensor`): + The data to send to analyze. + + Returns: + The same data structure as `data` with [`~utils.TensorInformation`] instead of tensors. + """ + + def _get_data_structure(tensor): + return TensorInformation(shape=tensor.shape, dtype=tensor.dtype) + + return recursively_apply(_get_data_structure, data) + + +def get_shape(data): + """ + Recursively gathers the shape of a nested list/tuple/dictionary of tensors as a list. + + Args: + data (nested list/tuple/dictionary of `torch.Tensor`): + The data to send to analyze. + + Returns: + The same data structure as `data` with lists of tensor shapes instead of tensors. + """ + + def _get_shape(tensor): + return list(tensor.shape) + + return recursively_apply(_get_shape, data) + + +def initialize_tensors(data_structure): + """ + Recursively initializes tensors from a nested list/tuple/dictionary of [`~utils.TensorInformation`]. + + Returns: + The same data structure as `data` with tensors instead of [`~utils.TensorInformation`]. + """ + + def _initialize_tensor(tensor_info): + return torch.empty(*tensor_info.shape, dtype=tensor_info.dtype) + + return recursively_apply(_initialize_tensor, data_structure, test_type=is_tensor_information) + + +def find_batch_size(data): + """ + Recursively finds the batch size in a nested list/tuple/dictionary of lists of tensors. + + Args: + data (nested list/tuple/dictionary of `torch.Tensor`): The data from which to find the batch size. + + Returns: + `int`: The batch size. + """ + if isinstance(data, (tuple, list, Mapping)) and (len(data) == 0): + raise ValueError(f"Cannot find the batch size from empty {type(data)}.") + + if isinstance(data, (tuple, list)): + return find_batch_size(data[0]) + elif isinstance(data, Mapping): + for k in data.keys(): + return find_batch_size(data[k]) + elif not isinstance(data, torch.Tensor): + raise TypeError(f"Can only find the batch size of tensors but got {type(data)}.") + return data.shape[0] + + +def ignorant_find_batch_size(data): + """ + Same as [`utils.operations.find_batch_size`] except will ignore if `ValueError` and `TypeErrors` are raised + + Args: + data (nested list/tuple/dictionary of `torch.Tensor`): The data from which to find the batch size. + + Returns: + `int`: The batch size. + """ + try: + return find_batch_size(data) + except (ValueError, TypeError): + pass + return None + + +def listify(data): + """ + Recursively finds tensors in a nested list/tuple/dictionary and converts them to a list of numbers. + + Args: + data (nested list/tuple/dictionary of `torch.Tensor`): The data from which to convert to regular numbers. + + Returns: + The same data structure as `data` with lists of numbers instead of `torch.Tensor`. + """ + + def _convert_to_list(tensor): + tensor = tensor.detach().cpu() + if tensor.dtype == torch.bfloat16: + # As of Numpy 1.21.4, NumPy does not support bfloat16 (see + # https://github.com/numpy/numpy/blob/a47ecdea856986cd60eabbd53265c2ca5916ad5d/doc/source/user/basics.types.rst ). + # Until Numpy adds bfloat16, we must convert float32. + tensor = tensor.to(torch.float32) + return tensor.tolist() + + return recursively_apply(_convert_to_list, data) + + +def _tpu_gather(tensor): + def _tpu_gather_one(tensor): + if tensor.ndim == 0: + tensor = tensor.clone()[None] + + # Can only gather contiguous tensors + if not tensor.is_contiguous(): + tensor = tensor.contiguous() + return xm.all_gather(tensor) + + res = recursively_apply(_tpu_gather_one, tensor, error_on_other_type=True) + xm.mark_step() + return res + + +def _gpu_gather(tensor): + state = PartialState() + gather_op = torch.distributed.all_gather_into_tensor + + # NOTE: need manually synchronize to workaourd a INT64 collectives bug in oneCCL before torch 2.9.0 + if state.device.type == "xpu" and is_torch_version("<=", "2.8"): + torch.xpu.synchronize() + + def _gpu_gather_one(tensor): + if tensor.ndim == 0: + tensor = tensor.clone()[None] + + # Can only gather contiguous tensors + if not tensor.is_contiguous(): + tensor = tensor.contiguous() + + if state.backend is not None and state.backend != "gloo": + # We use `empty` as `all_gather_into_tensor` slightly + # differs from `all_gather` for better efficiency, + # and we rely on the number of items in the tensor + # rather than its direct shape + output_tensors = torch.empty( + state.num_processes * tensor.numel(), + dtype=tensor.dtype, + device=state.device, + ) + gather_op(output_tensors, tensor) + return output_tensors.view(-1, *tensor.size()[1:]) + else: + # a backend of `None` is always CPU + # also gloo does not support `all_gather_into_tensor`, + # which will result in a larger memory overhead for the op + output_tensors = [torch.empty_like(tensor) for _ in range(state.num_processes)] + torch.distributed.all_gather(output_tensors, tensor) + return torch.cat(output_tensors, dim=0) + + return recursively_apply(_gpu_gather_one, tensor, error_on_other_type=True) + + +class DistributedOperationException(Exception): + """ + An exception class for distributed operations. Raised if the operation cannot be performed due to the shape of the + tensors. + """ + + pass + + +def verify_operation(function): + """ + Verifies that `tensor` is the same shape across all processes. Only ran if `PartialState().debug` is `True`. + """ + + @wraps(function) + def wrapper(*args, **kwargs): + if PartialState().distributed_type == DistributedType.NO or not PartialState().debug: + return function(*args, **kwargs) + operation = f"{function.__module__}.{function.__name__}" + if "tensor" in kwargs: + tensor = kwargs["tensor"] + else: + tensor = args[0] + if PartialState().device.type != find_device(tensor).type: + raise DistributedOperationException( + f"One or more of the tensors passed to {operation} were not on the {tensor.device.type} while the `Accelerator` is configured for {PartialState().device.type}. " + f"Please move it to the {PartialState().device.type} before calling {operation}." + ) + shapes = get_shape(tensor) + output = gather_object([shapes]) + if output[0] is not None: + are_same = output.count(output[0]) == len(output) + if not are_same: + process_shape_str = "\n - ".join([f"Process {i}: {shape}" for i, shape in enumerate(output)]) + raise DistributedOperationException( + f"Cannot apply desired operation due to shape mismatches. " + "All shapes across devices must be valid." + f"\n\nOperation: `{operation}`\nInput shapes:\n - {process_shape_str}" + ) + return function(*args, **kwargs) + + return wrapper + + +def chained_operation(function): + """ + Checks that `verify_operation` failed and if so reports a more helpful error chaining the existing + `DistributedOperationException`. + """ + + @wraps(function) + def wrapper(*args, **kwargs): + try: + return function(*args, **kwargs) + except DistributedOperationException as e: + operation = f"{function.__module__}.{function.__name__}" + raise DistributedOperationException( + f"Error found while calling `{operation}`. Please see the earlier error for more details." + ) from e + + return wrapper + + +@verify_operation +def gather(tensor): + """ + Recursively gather tensor in a nested list/tuple/dictionary of tensors from all devices. + + Args: + tensor (nested list/tuple/dictionary of `torch.Tensor`): + The data to gather. + + Returns: + The same data structure as `tensor` with all tensors sent to the proper device. + """ + if PartialState().distributed_type == DistributedType.XLA: + return _tpu_gather(tensor) + elif PartialState().distributed_type in TORCH_DISTRIBUTED_OPERATION_TYPES: + return _gpu_gather(tensor) + else: + return tensor + + +def _gpu_gather_object(object: Any): + output_objects = [None for _ in range(PartialState().num_processes)] + torch.distributed.all_gather_object(output_objects, object) + # all_gather_object returns a list of lists, so we need to flatten it + return [x for y in output_objects for x in y] + + +def gather_object(object: Any): + """ + Recursively gather object in a nested list/tuple/dictionary of objects from all devices. + + Args: + object (nested list/tuple/dictionary of picklable object): + The data to gather. + + Returns: + The same data structure as `object` with all the objects sent to every device. + """ + if PartialState().distributed_type == DistributedType.XLA: + raise NotImplementedError("gather objects in TPU is not supported") + elif PartialState().distributed_type in TORCH_DISTRIBUTED_OPERATION_TYPES: + return _gpu_gather_object(object) + else: + return object + + +def _gpu_broadcast(data, src=0): + def _gpu_broadcast_one(tensor, src=0): + torch.distributed.broadcast(tensor, src=src) + return tensor + + return recursively_apply(_gpu_broadcast_one, data, error_on_other_type=True, src=src) + + +def _tpu_broadcast(tensor, src=0, name="broadcast tensor"): + if isinstance(tensor, (list, tuple)): + return honor_type(tensor, (_tpu_broadcast(t, name=f"{name}_{i}") for i, t in enumerate(tensor))) + elif isinstance(tensor, Mapping): + return type(tensor)({k: _tpu_broadcast(v, name=f"{name}_{k}") for k, v in tensor.items()}) + return xm.mesh_reduce(name, tensor, lambda x: x[src]) + + +TENSOR_TYPE_TO_INT = { + torch.float: 1, + torch.double: 2, + torch.half: 3, + torch.bfloat16: 4, + torch.uint8: 5, + torch.int8: 6, + torch.int16: 7, + torch.int32: 8, + torch.int64: 9, + torch.bool: 10, +} + +TENSOR_INT_TO_DTYPE = {v: k for k, v in TENSOR_TYPE_TO_INT.items()} + + +def gather_tensor_shape(tensor): + """ + Grabs the shape of `tensor` only available on one process and returns a tensor of its shape + """ + # Allocate 80 bytes to store the shape + max_tensor_dimension = 2**20 + state = PartialState() + base_tensor = torch.empty(max_tensor_dimension, dtype=torch.int, device=state.device) + + # Since PyTorch can't just send a tensor to another GPU without + # knowing its size, we store the size of the tensor with data + # in an allocation + if tensor is not None: + shape = tensor.shape + tensor_dtype = TENSOR_TYPE_TO_INT[tensor.dtype] + base_tensor[: len(shape) + 1] = torch.tensor(list(shape) + [tensor_dtype], dtype=int) + # Perform a reduction to copy the size data onto all GPUs + base_tensor = reduce(base_tensor, reduction="sum") + base_tensor = base_tensor[base_tensor.nonzero()] + # The last non-zero data contains the coded dtype the source tensor is + dtype = int(base_tensor[-1:][0]) + base_tensor = base_tensor[:-1] + return base_tensor, dtype + + +def copy_tensor_to_devices(tensor=None) -> torch.Tensor: + """ + Copies a tensor that only exists on a single device and broadcasts it to other devices. Differs from `broadcast` as + each worker doesn't need to know its shape when used (and tensor can be `None`) + + Args: + tensor (`torch.tensor`): + The tensor that should be sent to all devices. Must only have it be defined on a single device, the rest + should be `None`. + """ + state = PartialState() + shape, dtype = gather_tensor_shape(tensor) + if tensor is None: + tensor = torch.zeros(shape, dtype=TENSOR_INT_TO_DTYPE[dtype]).to(state.device) + return reduce(tensor, reduction="sum") + + +@verify_operation +def broadcast(tensor, from_process: int = 0): + """ + Recursively broadcast tensor in a nested list/tuple/dictionary of tensors to all devices. + + Args: + tensor (nested list/tuple/dictionary of `torch.Tensor`): + The data to gather. + from_process (`int`, *optional*, defaults to 0): + The process from which to send the data + + Returns: + The same data structure as `tensor` with all tensors broadcasted to the proper device. + """ + if PartialState().distributed_type == DistributedType.XLA: + return _tpu_broadcast(tensor, src=from_process, name="accelerate.utils.broadcast") + elif PartialState().distributed_type in TORCH_DISTRIBUTED_OPERATION_TYPES: + return _gpu_broadcast(tensor, src=from_process) + else: + return tensor + + +def broadcast_object_list(object_list, from_process: int = 0): + """ + Broadcast a list of picklable objects from one process to the others. + + Args: + object_list (list of picklable objects): + The list of objects to broadcast. This list will be modified inplace. + from_process (`int`, *optional*, defaults to 0): + The process from which to send the data. + + Returns: + The same list containing the objects from process 0. + """ + if PartialState().distributed_type == DistributedType.XLA: + for i, obj in enumerate(object_list): + object_list[i] = xm.mesh_reduce("accelerate.utils.broadcast_object_list", obj, lambda x: x[from_process]) + elif PartialState().distributed_type in TORCH_DISTRIBUTED_OPERATION_TYPES: + torch.distributed.broadcast_object_list(object_list, src=from_process) + return object_list + + +def slice_tensors(data, tensor_slice, process_index=None, num_processes=None): + """ + Recursively takes a slice in a nested list/tuple/dictionary of tensors. + + Args: + data (nested list/tuple/dictionary of `torch.Tensor`): + The data to slice. + tensor_slice (`slice`): + The slice to take. + + Returns: + The same data structure as `data` with all the tensors slices. + """ + + def _slice_tensor(tensor, tensor_slice): + return tensor[tensor_slice] + + return recursively_apply(_slice_tensor, data, tensor_slice) + + +def concatenate(data, dim=0): + """ + Recursively concatenate the tensors in a nested list/tuple/dictionary of lists of tensors with the same shape. + + Args: + data (nested list/tuple/dictionary of lists of tensors `torch.Tensor`): + The data to concatenate. + dim (`int`, *optional*, defaults to 0): + The dimension on which to concatenate. + + Returns: + The same data structure as `data` with all the tensors concatenated. + """ + if isinstance(data[0], (tuple, list)): + return honor_type(data[0], (concatenate([d[i] for d in data], dim=dim) for i in range(len(data[0])))) + elif isinstance(data[0], Mapping): + return type(data[0])({k: concatenate([d[k] for d in data], dim=dim) for k in data[0].keys()}) + elif not isinstance(data[0], torch.Tensor): + raise TypeError(f"Can only concatenate tensors but got {type(data[0])}") + return torch.cat(data, dim=dim) + + +class CannotPadNestedTensorWarning(UserWarning): + pass + + +@chained_operation +def pad_across_processes(tensor, dim=0, pad_index=0, pad_first=False): + """ + Recursively pad the tensors in a nested list/tuple/dictionary of tensors from all devices to the same size so they + can safely be gathered. + + Args: + tensor (nested list/tuple/dictionary of `torch.Tensor`): + The data to gather. + dim (`int`, *optional*, defaults to 0): + The dimension on which to pad. + pad_index (`int`, *optional*, defaults to 0): + The value with which to pad. + pad_first (`bool`, *optional*, defaults to `False`): + Whether to pad at the beginning or the end. + """ + + def _pad_across_processes(tensor, dim=0, pad_index=0, pad_first=False): + if getattr(tensor, "is_nested", False): + warnings.warn( + "Cannot pad nested tensors without more information. Leaving unprocessed.", + CannotPadNestedTensorWarning, + ) + return tensor + if dim >= len(tensor.shape) or dim < -len(tensor.shape): + return tensor + # Convert negative dimensions to non-negative + if dim < 0: + dim += len(tensor.shape) + + # Gather all sizes + size = torch.tensor(tensor.shape, device=tensor.device)[None] + sizes = gather(size).cpu() + # Then pad to the maximum size + max_size = max(s[dim] for s in sizes) + if max_size == tensor.shape[dim]: + return tensor + + old_size = tensor.shape + new_size = list(old_size) + new_size[dim] = max_size + new_tensor = tensor.new_zeros(tuple(new_size)) + pad_index + if pad_first: + indices = tuple( + slice(max_size - old_size[dim], max_size) if i == dim else slice(None) for i in range(len(new_size)) + ) + else: + indices = tuple(slice(0, old_size[dim]) if i == dim else slice(None) for i in range(len(new_size))) + new_tensor[indices] = tensor + return new_tensor + + return recursively_apply( + _pad_across_processes, tensor, error_on_other_type=True, dim=dim, pad_index=pad_index, pad_first=pad_first + ) + + +def pad_input_tensors(tensor, batch_size, num_processes, dim=0): + """ + Takes a `tensor` of arbitrary size and pads it so that it can work given `num_processes` needed dimensions. + + New tensors are just the last input repeated. + + E.g.: + Tensor: ([3,4,4]) Num processes: 4 Expected result shape: ([4,4,4]) + + """ + + def _pad_input_tensors(tensor, batch_size, num_processes, dim=0): + remainder = batch_size // num_processes + last_inputs = batch_size - (remainder * num_processes) + if batch_size // num_processes == 0: + to_pad = num_processes - batch_size + else: + to_pad = num_processes - (batch_size // num_processes) + # In the rare case that `to_pad` is negative, + # we need to pad the last inputs - the found `to_pad` + if last_inputs > to_pad & to_pad < 1: + to_pad = last_inputs - to_pad + old_size = tensor.shape + new_size = list(old_size) + new_size[0] = batch_size + to_pad + new_tensor = tensor.new_zeros(tuple(new_size)) + indices = tuple(slice(0, old_size[dim]) if i == dim else slice(None) for i in range(len(new_size))) + new_tensor[indices] = tensor + return new_tensor + + return recursively_apply( + _pad_input_tensors, + tensor, + error_on_other_type=True, + batch_size=batch_size, + num_processes=num_processes, + dim=dim, + ) + + +@verify_operation +def reduce(tensor, reduction="mean", scale=1.0): + """ + Recursively reduce the tensors in a nested list/tuple/dictionary of lists of tensors across all processes by the + mean of a given operation. + + Args: + tensor (nested list/tuple/dictionary of `torch.Tensor`): + The data to reduce. + reduction (`str`, *optional*, defaults to `"mean"`): + A reduction method. Can be of "mean", "sum", or "none" + scale (`float`, *optional*): + A default scaling value to be applied after the reduce, only valid on XLA. + + Returns: + The same data structure as `data` with all the tensors reduced. + """ + + def _reduce_across_processes(tensor, reduction="mean", scale=1.0): + state = PartialState() + cloned_tensor = tensor.clone() + if state.distributed_type == DistributedType.NO: + return cloned_tensor + if state.distributed_type == DistributedType.XLA: + # Some processes may have different HLO graphs than other + # processes, for example in the breakpoint API + # accelerator.set_trigger(). Use mark_step to make HLOs + # the same on all processes. + xm.mark_step() + xm.all_reduce(xm.REDUCE_SUM, [cloned_tensor], scale) + xm.mark_step() + elif state.distributed_type.value in TORCH_DISTRIBUTED_OPERATION_TYPES: + torch.distributed.all_reduce(cloned_tensor, ReduceOp.SUM) + if reduction == "mean": + cloned_tensor /= state.num_processes + return cloned_tensor + + return recursively_apply( + _reduce_across_processes, tensor, error_on_other_type=True, reduction=reduction, scale=scale + ) + + +def convert_to_fp32(tensor): + """ + Recursively converts the elements nested list/tuple/dictionary of tensors in FP16/BF16 precision to FP32. + + Args: + tensor (nested list/tuple/dictionary of `torch.Tensor`): + The data to convert from FP16/BF16 to FP32. + + Returns: + The same data structure as `tensor` with all tensors that were in FP16/BF16 precision converted to FP32. + """ + + def _convert_to_fp32(tensor): + return tensor.float() + + def _is_fp16_bf16_tensor(tensor): + return (is_torch_tensor(tensor) or hasattr(tensor, "dtype")) and tensor.dtype in ( + torch.float16, + torch.bfloat16, + ) + + return recursively_apply(_convert_to_fp32, tensor, test_type=_is_fp16_bf16_tensor) + + +class ConvertOutputsToFp32: + """ + Decorator to apply to a function outputting tensors (like a model forward pass) that ensures the outputs in FP16 + precision will be convert back to FP32. + + Args: + model_forward (`Callable`): + The function which outputs we want to treat. + + Returns: + The same function as `model_forward` but with converted outputs. + """ + + def __init__(self, model_forward): + self.model_forward = model_forward + update_wrapper(self, model_forward) + + def __call__(self, *args, **kwargs): + return convert_to_fp32(self.model_forward(*args, **kwargs)) + + def __getstate__(self): + raise pickle.PicklingError( + "Cannot pickle a prepared model with automatic mixed precision, please unwrap the model with `Accelerator.unwrap_model(model)` before pickling it." + ) + + +def convert_outputs_to_fp32(model_forward): + model_forward = ConvertOutputsToFp32(model_forward) + + def forward(*args, **kwargs): + return model_forward(*args, **kwargs) + + # To act like a decorator so that it can be popped when doing `extract_model_from_parallel` + forward.__wrapped__ = model_forward + + return forward + + +def find_device(data): + """ + Finds the device on which a nested dict/list/tuple of tensors lies (assuming they are all on the same device). + + Args: + (nested list/tuple/dictionary of `torch.Tensor`): The data we want to know the device of. + """ + if isinstance(data, Mapping): + for obj in data.values(): + device = find_device(obj) + if device is not None: + return device + elif isinstance(data, (tuple, list)): + for obj in data: + device = find_device(obj) + if device is not None: + return device + elif isinstance(data, torch.Tensor): + return data.device + + +@contextmanager +def GatheredParameters(params, modifier_rank=None, fwd_module=None, enabled=True): + """ + Wrapper around `deepspeed.runtime.zero.GatheredParameters`, but if Zero-3 is not enabled, will be a no-op context + manager. + """ + # We need to use the `AcceleratorState` here since it has access to the deepspeed plugin + if AcceleratorState().distributed_type != DistributedType.DEEPSPEED or ( + AcceleratorState().deepspeed_plugin is not None + and not AcceleratorState().deepspeed_plugin.is_zero3_init_enabled() + ): + gather_param_context = nullcontext() + else: + import deepspeed + + gather_param_context = deepspeed.zero.GatheredParameters( + params, modifier_rank=modifier_rank, fwd_module=fwd_module, enabled=enabled + ) + with gather_param_context: + yield diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/other.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/other.py new file mode 100644 index 0000000000000000000000000000000000000000..69bed25cb66b31e32cbc984e8779af875b0cfde1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/other.py @@ -0,0 +1,561 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import collections +import platform +import re +import socket +from codecs import encode +from collections import OrderedDict +from functools import partial, reduce +from types import MethodType +from typing import Optional + +import numpy as np +import torch +from packaging.version import Version +from safetensors.torch import save_file as safe_save_file + +from ..commands.config.default import write_basic_config # noqa: F401 +from ..logging import get_logger +from ..state import PartialState +from .constants import FSDP_PYTORCH_VERSION +from .dataclasses import DistributedType +from .imports import ( + is_deepspeed_available, + is_numpy_available, + is_torch_distributed_available, + is_torch_xla_available, + is_weights_only_available, +) +from .modeling import id_tensor_storage +from .transformer_engine import convert_model +from .versions import is_torch_version + + +logger = get_logger(__name__) + + +if is_torch_xla_available(): + import torch_xla.core.xla_model as xm + + +def is_compiled_module(module: torch.nn.Module) -> bool: + """ + Check whether the module was compiled with torch.compile() + """ + if not hasattr(torch, "_dynamo"): + return False + + return isinstance(module, torch._dynamo.eval_frame.OptimizedModule) + + +def has_compiled_regions(module: torch.nn.Module) -> bool: + """ + Check whether the module has submodules that were compiled with `torch.compile()`. + """ + if not hasattr(torch, "_dynamo"): + return False + + if module._modules: + for submodule in module.modules(): + if isinstance(submodule, torch._dynamo.eval_frame.OptimizedModule): + return True + + return False + + +def is_repeated_blocks(module: torch.nn.Module) -> bool: + """ + Check whether the module is a repeated block, i.e. `torch.nn.ModuleList` with all children of the same class. This + is useful to determine whether we should apply regional compilation to the module. + """ + + return isinstance(module, torch.nn.ModuleList) and all(isinstance(m, module[0].__class__) for m in module) + + +def has_repeated_blocks(module: torch.nn.Module) -> bool: + """ + Check whether the module has repeated blocks, i.e. `torch.nn.ModuleList` with all children of the same class, at + any level of the module hierarchy. This is useful to determine whether we should apply regional compilation to the + module. + """ + if module._modules: + for submodule in module.modules(): + if is_repeated_blocks(submodule): + return True + + return False + + +def compile_regions(module: torch.nn.Module, **compile_kwargs) -> torch.nn.Module: + """ + Performs regional compilation where we target repeated blocks of the same class and compile them sequentially to + hit the compiler's cache. For example, in `GPT2LMHeadModel`, the repeated block/class is `GPT2Block`, and can be + accessed as `model.transformer.h[0]`. The rest of the model (e.g. model.lm_head) is compiled separately. + + This allows us to speed up the compilation overhead / cold start of models like LLMs and Transformers in general. + See https://pytorch.org/tutorials/recipes/regional_compilation.html for more details. + + Args: + module (`torch.nn.Module`): + The model to compile. + **compile_kwargs: + Additional keyword arguments to pass to `torch.compile()`. + + Returns: + `torch.nn.Module`: A new instance of the model with some compiled regions. + + Example: + ```python + >>> from accelerate.utils import compile_regions + >>> from transformers import AutoModelForCausalLM + + >>> model = AutoModelForCausalLM.from_pretrained("gpt2") + >>> compiled_model = compile_regions(model, mode="reduce-overhead") + >>> compiled_model.transformer.h[0] + OptimizedModule( + (_orig_mod): GPT2Block( + (ln_1): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (attn): GPT2Attention( + (c_attn): Conv1D(nf=2304, nx=768) + (c_proj): Conv1D(nf=768, nx=768) + (attn_dropout): Dropout(p=0.1, inplace=False) + (resid_dropout): Dropout(p=0.1, inplace=False) + ) + (ln_2): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (mlp): GPT2MLP( + (c_fc): Conv1D(nf=3072, nx=768) + (c_proj): Conv1D(nf=768, nx=3072) + (act): NewGELUActivation() + (dropout): Dropout(p=0.1, inplace=False) + ) + ) + ) + ``` + """ + + def _compile_regions(module: torch.nn.Module, **compile_kwargs) -> torch.nn.Module: + if is_repeated_blocks(module): + new_module = torch.nn.ModuleList() + for submodule in module: + new_module.append(torch.compile(submodule, **compile_kwargs)) + elif has_repeated_blocks(module): + new_module = module.__class__.__new__(module.__class__) + new_module.__dict__.update(module.__dict__) + new_module._modules = {} + for name, submodule in module.named_children(): + new_module.add_module(name, _compile_regions(submodule, **compile_kwargs)) + else: + new_module = torch.compile(module, **compile_kwargs) + + return new_module + + new_module = _compile_regions(module, **compile_kwargs) + + if "_orig_mod" not in new_module.__dict__: + # Keeps a reference to the original module to decompile/unwrap it later + new_module.__dict__["_orig_mod"] = module + + return new_module + + +def compile_regions_deepspeed(module: torch.nn.Module, **compile_kwargs): + """ + Performs regional compilation the same way as `compile_regions`, but specifically for `DeepSpeedEngine.module`. + Since the model is wrapped in a `DeepSpeedEngine` and has many added hooks, offloaded parameters, etc that + `torch.compile(...)` interferes with, version of trgional compilation uses the inplace `module.compile()` method + instead. + + Args: + module (`torch.nn.Module`): + The model to compile. + **compile_kwargs: + Additional keyword arguments to pass to `module.compile()`. + """ + + if is_repeated_blocks(module): + for submodule in module: + submodule.compile(**compile_kwargs) + elif has_repeated_blocks(module): + for child in module.children(): + compile_regions_deepspeed(child, **compile_kwargs) + else: # leaf node + module.compile(**compile_kwargs) + + +def model_has_dtensor(model: torch.nn.Module) -> bool: + """ + Check if the model has DTensor parameters. + + Args: + model (`torch.nn.Module`): + The model to check. + + Returns: + `bool`: Whether the model has DTensor parameters. + """ + if is_torch_version(">=", "2.5.0"): + from torch.distributed.tensor import DTensor + else: + # from torch 2.0.0 (oldest supported accelerate torch version), DTensor is in torch.distributed._tensor + from torch.distributed._tensor import DTensor + + return any(isinstance(p, DTensor) for p in model.parameters()) + + +def extract_model_from_parallel( + model, keep_fp32_wrapper: bool = True, keep_torch_compile: bool = True, recursive: bool = False +): + """ + Extract a model from its distributed containers. + + Args: + model (`torch.nn.Module`): + The model to extract. + keep_fp32_wrapper (`bool`, *optional*): + Whether to remove mixed precision hooks from the model. + keep_torch_compile (`bool`, *optional*): + Whether to unwrap compiled model. + recursive (`bool`, *optional*, defaults to `False`): + Whether to recursively extract all cases of `module.module` from `model` as well as unwrap child sublayers + recursively, not just the top-level distributed containers. + + Returns: + `torch.nn.Module`: The extracted model. + """ + options = (torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel) + + is_compiled = is_compiled_module(model) + has_compiled = has_compiled_regions(model) + + if is_compiled: + compiled_model = model + model = model._orig_mod + elif has_compiled: + compiled_model = model + model = model.__dict__["_orig_mod"] + + if is_deepspeed_available(): + from deepspeed import DeepSpeedEngine + + options += (DeepSpeedEngine,) + + if is_torch_version(">=", FSDP_PYTORCH_VERSION) and is_torch_distributed_available(): + from torch.distributed.fsdp.fully_sharded_data_parallel import FullyShardedDataParallel as FSDP + + options += (FSDP,) + + while isinstance(model, options): + model = model.module + + if recursive: + # This is needed in cases such as using FSDPv2 on XLA + def _recursive_unwrap(module): + # Wrapped modules are standardly wrapped as `module`, similar to the cases earlier + # with DDP, DataParallel, DeepSpeed, and FSDP + if hasattr(module, "module"): + unwrapped_module = _recursive_unwrap(module.module) + else: + unwrapped_module = module + # Next unwrap child sublayers recursively + for name, child in unwrapped_module.named_children(): + setattr(unwrapped_module, name, _recursive_unwrap(child)) + return unwrapped_module + + # Start with top-level + model = _recursive_unwrap(model) + + if not keep_fp32_wrapper: + forward = model.forward + original_forward = model.__dict__.pop("_original_forward", None) + if original_forward is not None: + while hasattr(forward, "__wrapped__"): + forward = forward.__wrapped__ + if forward == original_forward: + break + model.forward = MethodType(forward, model) + if getattr(model, "_converted_to_transformer_engine", False): + convert_model(model, to_transformer_engine=False) + + if keep_torch_compile: + if is_compiled: + compiled_model._orig_mod = model + model = compiled_model + elif has_compiled: + compiled_model.__dict__["_orig_mod"] = model + model = compiled_model + + return model + + +def wait_for_everyone(): + """ + Introduces a blocking point in the script, making sure all processes have reached this point before continuing. + + + + Make sure all processes will reach this instruction otherwise one of your processes will hang forever. + + + """ + PartialState().wait_for_everyone() + + +def clean_state_dict_for_safetensors(state_dict: dict): + """ + Cleans the state dictionary from a model and removes tensor aliasing if present. + + Args: + state_dict (`dict`): + The state dictionary from a model + """ + ptrs = collections.defaultdict(list) + # When bnb serialization is used, weights in state dict can be strings + for name, tensor in state_dict.items(): + if not isinstance(tensor, str): + ptrs[id_tensor_storage(tensor)].append(name) + + # These are all pointers of tensors with shared memory + shared_ptrs = {ptr: names for ptr, names in ptrs.items() if len(names) > 1} + warn_names = set() + for names in shared_ptrs.values(): + # When not all duplicates have been cleaned, we still remove those keys but put a clear warning. + # If the link between tensors was done at runtime then `from_pretrained` will not get + # the key back leading to random tensor. A proper warning will be shown + # during reload (if applicable), but since the file is not necessarily compatible with + # the config, better show a proper warning. + found_names = [name for name in names if name in state_dict] + warn_names.update(found_names[1:]) + for name in found_names[1:]: + del state_dict[name] + if len(warn_names) > 0: + logger.warning( + f"Removed shared tensor {warn_names} while saving. This should be OK, but check by verifying that you don't receive any warning while reloading", + ) + state_dict = {k: v.contiguous() if isinstance(v, torch.Tensor) else v for k, v in state_dict.items()} + return state_dict + + +def save(obj, f, save_on_each_node: bool = False, safe_serialization: bool = False): + """ + Save the data to disk. Use in place of `torch.save()`. + + Args: + obj: + The data to save + f: + The file (or file-like object) to use to save the data + save_on_each_node (`bool`, *optional*, defaults to `False`): + Whether to only save on the global main process + safe_serialization (`bool`, *optional*, defaults to `False`): + Whether to save `obj` using `safetensors` or the traditional PyTorch way (that uses `pickle`). + """ + # When TorchXLA is enabled, it's necessary to transfer all data to the CPU before saving. + # Another issue arises with `id_tensor_storage`, which treats all XLA tensors as identical. + # If tensors remain on XLA, calling `clean_state_dict_for_safetensors` will result in only + # one XLA tensor remaining. + if PartialState().distributed_type == DistributedType.XLA: + obj = xm._maybe_convert_to_cpu(obj) + # Check if it's a model and remove duplicates + if safe_serialization: + save_func = partial(safe_save_file, metadata={"format": "pt"}) + if isinstance(obj, OrderedDict): + obj = clean_state_dict_for_safetensors(obj) + else: + save_func = torch.save + + if PartialState().is_main_process and not save_on_each_node: + save_func(obj, f) + elif PartialState().is_local_main_process and save_on_each_node: + save_func(obj, f) + + +# The following are considered "safe" globals to reconstruct various types of objects when using `weights_only=True` +# These should be added and then removed after loading in the file +np_core = np._core if is_numpy_available("2.0.0") else np.core +TORCH_SAFE_GLOBALS = [ + # numpy arrays are just numbers, not objects, so we can reconstruct them safely + np_core.multiarray._reconstruct, + np.ndarray, + # The following are needed for the RNG states + encode, + np.dtype, +] + +if is_numpy_available("1.25.0"): + TORCH_SAFE_GLOBALS.append(np.dtypes.UInt32DType) + + +def load(f, map_location=None, **kwargs): + """ + Compatible drop-in replacement of `torch.load()` which allows for `weights_only` to be used if `torch` version is + 2.4.0 or higher. Otherwise will ignore the kwarg. + + Will also add (and then remove) an exception for numpy arrays + + Args: + f: + The file (or file-like object) to use to load the data + map_location: + a function, `torch.device`, string or a dict specifying how to remap storage locations + **kwargs: + Additional keyword arguments to pass to `torch.load()`. + """ + try: + if is_weights_only_available(): + old_safe_globals = torch.serialization.get_safe_globals() + if "weights_only" not in kwargs: + kwargs["weights_only"] = True + torch.serialization.add_safe_globals(TORCH_SAFE_GLOBALS) + else: + kwargs.pop("weights_only", None) + loaded_obj = torch.load(f, map_location=map_location, **kwargs) + finally: + if is_weights_only_available(): + torch.serialization.clear_safe_globals() + if old_safe_globals: + torch.serialization.add_safe_globals(old_safe_globals) + return loaded_obj + + +def get_pretty_name(obj): + """ + Gets a pretty name from `obj`. + """ + if not hasattr(obj, "__qualname__") and not hasattr(obj, "__name__"): + obj = getattr(obj, "__class__", obj) + if hasattr(obj, "__qualname__"): + return obj.__qualname__ + if hasattr(obj, "__name__"): + return obj.__name__ + return str(obj) + + +def merge_dicts(source, destination): + """ + Recursively merges two dictionaries. + + Args: + source (`dict`): The dictionary to merge into `destination`. + destination (`dict`): The dictionary to merge `source` into. + """ + for key, value in source.items(): + if isinstance(value, dict): + node = destination.setdefault(key, {}) + merge_dicts(value, node) + else: + destination[key] = value + + return destination + + +def is_port_in_use(port: Optional[int] = None) -> bool: + """ + Checks if a port is in use on `localhost`. Useful for checking if multiple `accelerate launch` commands have been + run and need to see if the port is already in use. + """ + if port is None: + port = 29500 + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + return s.connect_ex(("localhost", port)) == 0 + + +def get_free_port() -> int: + """ + Gets a free port on `localhost`. Useful for automatic port selection when port 0 is specified in distributed + training scenarios. + + Returns: + int: An available port number + """ + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + s.bind(("", 0)) # bind to port 0 for OS to assign a free port + return s.getsockname()[1] + + +def convert_bytes(size): + "Converts `size` from bytes to the largest possible unit" + for x in ["bytes", "KB", "MB", "GB", "TB"]: + if size < 1024.0: + return f"{round(size, 2)} {x}" + size /= 1024.0 + + return f"{round(size, 2)} PB" + + +def check_os_kernel(): + """Warns if the kernel version is below the recommended minimum on Linux.""" + # see issue #1929 + info = platform.uname() + system = info.system + if system != "Linux": + return + + _, version, *_ = re.split(r"(\d+\.\d+\.\d+)", info.release) + min_version = "5.5.0" + if Version(version) < Version(min_version): + msg = ( + f"Detected kernel version {version}, which is below the recommended minimum of {min_version}; this can " + "cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher." + ) + logger.warning(msg, main_process_only=True) + + +def recursive_getattr(obj, attr: str): + """ + Recursive `getattr`. + + Args: + obj: + A class instance holding the attribute. + attr (`str`): + The attribute that is to be retrieved, e.g. 'attribute1.attribute2'. + """ + + def _getattr(obj, attr): + return getattr(obj, attr) + + return reduce(_getattr, [obj] + attr.split(".")) + + +def get_module_children_bottom_up(model: torch.nn.Module, return_fqns: bool = False) -> list[torch.nn.Module]: + """Traverse the model in bottom-up order and return the children modules in that order. + + Args: + model (`torch.nn.Module`): the model to get the children of + + Returns: + `list[torch.nn.Module]`: a list of children modules of `model` in bottom-up order. The last element is the + `model` itself. + """ + top = model if not return_fqns else ("", model) + stack = [top] + ordered_modules = [] + while stack: + current_module = stack.pop() + if return_fqns: + current_module_name, current_module = current_module + for name, attr in current_module.named_children(): + if isinstance(attr, torch.nn.Module): + if return_fqns: + child_name = current_module_name + "." + name if current_module_name else name + stack.append((child_name, attr)) + else: + stack.append(attr) + if return_fqns: + ordered_modules.append((current_module_name, current_module)) + else: + ordered_modules.append(current_module) + return ordered_modules[::-1] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/random.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/random.py new file mode 100644 index 0000000000000000000000000000000000000000..9dceb598cacc1c1d17b198e0a7c19789ab3b9f39 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/random.py @@ -0,0 +1,156 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import random +from typing import Optional, Union + +import numpy as np +import torch + +from ..state import AcceleratorState +from .constants import CUDA_DISTRIBUTED_TYPES +from .dataclasses import DistributedType, RNGType +from .imports import ( + is_hpu_available, + is_mlu_available, + is_musa_available, + is_npu_available, + is_sdaa_available, + is_torch_xla_available, + is_xpu_available, +) + + +if is_torch_xla_available(): + import torch_xla.core.xla_model as xm + + +def set_seed(seed: int, device_specific: bool = False, deterministic: bool = False): + """ + Helper function for reproducible behavior to set the seed in `random`, `numpy`, `torch`. + + Args: + seed (`int`): + The seed to set. + device_specific (`bool`, *optional*, defaults to `False`): + Whether to differ the seed on each device slightly with `self.process_index`. + deterministic (`bool`, *optional*, defaults to `False`): + Whether to use deterministic algorithms where available. Can slow down training. + """ + if device_specific: + seed += AcceleratorState().process_index + random.seed(seed) + np.random.seed(seed) + torch.manual_seed(seed) + if is_xpu_available(): + torch.xpu.manual_seed_all(seed) + elif is_npu_available(): + torch.npu.manual_seed_all(seed) + elif is_mlu_available(): + torch.mlu.manual_seed_all(seed) + elif is_sdaa_available(): + torch.sdaa.manual_seed_all(seed) + elif is_musa_available(): + torch.musa.manual_seed_all(seed) + elif is_hpu_available(): + torch.hpu.manual_seed_all(seed) + else: + torch.cuda.manual_seed_all(seed) + # ^^ safe to call this function even if cuda is not available + if is_torch_xla_available(): + xm.set_rng_state(seed) + + if deterministic: + torch.use_deterministic_algorithms(True) + + +def synchronize_rng_state(rng_type: Optional[RNGType] = None, generator: Optional[torch.Generator] = None): + # Get the proper rng state + if rng_type == RNGType.TORCH: + rng_state = torch.get_rng_state() + elif rng_type == RNGType.CUDA: + rng_state = torch.cuda.get_rng_state() + elif rng_type == RNGType.XLA: + assert is_torch_xla_available(), "Can't synchronize XLA seeds as torch_xla is unavailable." + rng_state = torch.tensor(xm.get_rng_state()) + elif rng_type == RNGType.NPU: + assert is_npu_available(), "Can't synchronize NPU seeds on an environment without NPUs." + rng_state = torch.npu.get_rng_state() + elif rng_type == RNGType.MLU: + assert is_mlu_available(), "Can't synchronize MLU seeds on an environment without MLUs." + rng_state = torch.mlu.get_rng_state() + elif rng_type == RNGType.SDAA: + assert is_sdaa_available(), "Can't synchronize SDAA seeds on an environment without SDAAs." + rng_state = torch.sdaa.get_rng_state() + elif rng_type == RNGType.MUSA: + assert is_musa_available(), "Can't synchronize MUSA seeds on an environment without MUSAs." + rng_state = torch.musa.get_rng_state() + elif rng_type == RNGType.XPU: + assert is_xpu_available(), "Can't synchronize XPU seeds on an environment without XPUs." + rng_state = torch.xpu.get_rng_state() + elif rng_type == RNGType.HPU: + assert is_hpu_available(), "Can't synchronize HPU seeds on an environment without HPUs." + rng_state = torch.hpu.get_rng_state() + elif rng_type == RNGType.GENERATOR: + assert generator is not None, "Need a generator to synchronize its seed." + rng_state = generator.get_state() + + # Broadcast the rng state from device 0 to other devices + state = AcceleratorState() + if state.distributed_type == DistributedType.XLA: + rng_state = rng_state.to(xm.xla_device()) + xm.collective_broadcast([rng_state]) + xm.mark_step() + rng_state = rng_state.cpu() + elif ( + state.distributed_type in CUDA_DISTRIBUTED_TYPES + or state.distributed_type == DistributedType.MULTI_MLU + or state.distributed_type == DistributedType.MULTI_SDAA + or state.distributed_type == DistributedType.MULTI_MUSA + or state.distributed_type == DistributedType.MULTI_NPU + or state.distributed_type == DistributedType.MULTI_XPU + or state.distributed_type == DistributedType.MULTI_HPU + ): + rng_state = rng_state.to(state.device) + torch.distributed.broadcast(rng_state, 0) + rng_state = rng_state.cpu() + elif state.distributed_type == DistributedType.MULTI_CPU: + torch.distributed.broadcast(rng_state, 0) + + # Set the broadcast rng state + if rng_type == RNGType.TORCH: + torch.set_rng_state(rng_state) + elif rng_type == RNGType.CUDA: + torch.cuda.set_rng_state(rng_state) + elif rng_type == RNGType.NPU: + torch.npu.set_rng_state(rng_state) + elif rng_type == RNGType.MLU: + torch.mlu.set_rng_state(rng_state) + elif rng_type == RNGType.SDAA: + torch.sdaa.set_rng_state(rng_state) + elif rng_type == RNGType.MUSA: + torch.musa.set_rng_state(rng_state) + elif rng_type == RNGType.XPU: + torch.xpu.set_rng_state(rng_state) + elif rng_state == RNGType.HPU: + torch.hpu.set_rng_state(rng_state) + elif rng_type == RNGType.XLA: + xm.set_rng_state(rng_state.item()) + elif rng_type == RNGType.GENERATOR: + generator.set_state(rng_state) + + +def synchronize_rng_states(rng_types: list[Union[str, RNGType]], generator: Optional[torch.Generator] = None): + for rng_type in rng_types: + synchronize_rng_state(RNGType(rng_type), generator=generator) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/rich.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/rich.py new file mode 100644 index 0000000000000000000000000000000000000000..2d48661b7fcef92ef1168b74cc275c6d3ccc67a1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/rich.py @@ -0,0 +1,24 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from .imports import is_rich_available + + +if is_rich_available(): + from rich.traceback import install + + install(show_locals=False) + +else: + raise ModuleNotFoundError("To use the rich extension, install rich with `pip install rich`") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/torch_xla.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/torch_xla.py new file mode 100644 index 0000000000000000000000000000000000000000..140133926c2f88d39c70f5a9f46a08f88bed36da --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/torch_xla.py @@ -0,0 +1,51 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import importlib.metadata +import subprocess +import sys + + +def install_xla(upgrade: bool = False): + """ + Helper function to install appropriate xla wheels based on the `torch` version in Google Colaboratory. + + Args: + upgrade (`bool`, *optional*, defaults to `False`): + Whether to upgrade `torch` and install the latest `torch_xla` wheels. + + Example: + + ```python + >>> from accelerate.utils import install_xla + + >>> install_xla(upgrade=True) + ``` + """ + in_colab = False + if "IPython" in sys.modules: + in_colab = "google.colab" in str(sys.modules["IPython"].get_ipython()) + + if in_colab: + if upgrade: + torch_install_cmd = ["pip", "install", "-U", "torch"] + subprocess.run(torch_install_cmd, check=True) + # get the current version of torch + torch_version = importlib.metadata.version("torch") + torch_version_trunc = torch_version[: torch_version.rindex(".")] + xla_wheel = f"https://storage.googleapis.com/tpu-pytorch/wheels/colab/torch_xla-{torch_version_trunc}-cp37-cp37m-linux_x86_64.whl" + xla_install_cmd = ["pip", "install", xla_wheel] + subprocess.run(xla_install_cmd, check=True) + else: + raise RuntimeError("`install_xla` utility works only on google colab.") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/tqdm.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/tqdm.py new file mode 100644 index 0000000000000000000000000000000000000000..2d4873c1573eb2ee7392162f440a76d4f07cd8ce --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/tqdm.py @@ -0,0 +1,43 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from .imports import is_tqdm_available + + +if is_tqdm_available(): + from tqdm.auto import tqdm as _tqdm + +from ..state import PartialState + + +def tqdm(*args, main_process_only: bool = True, **kwargs): + """ + Wrapper around `tqdm.tqdm` that optionally displays only on the main process. + + Args: + main_process_only (`bool`, *optional*): + Whether to display the progress bar only on the main process + """ + if not is_tqdm_available(): + raise ImportError("Accelerate's `tqdm` module requires `tqdm` to be installed. Please run `pip install tqdm`.") + if len(args) > 0 and isinstance(args[0], bool): + raise ValueError( + "Passing `True` or `False` as the first argument to Accelerate's `tqdm` wrapper is unsupported. " + "Please use the `main_process_only` keyword argument instead." + ) + disable = kwargs.pop("disable", False) + if main_process_only and not disable: + disable = PartialState().local_process_index != 0 + return _tqdm(*args, **kwargs, disable=disable) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/transformer_engine.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/transformer_engine.py new file mode 100644 index 0000000000000000000000000000000000000000..6a950d131ddcb1575a2cccd7937ed25bf762663e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/transformer_engine.py @@ -0,0 +1,186 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from types import MethodType + +import torch.nn as nn + +from .imports import is_hpu_available, is_transformer_engine_available +from .operations import GatheredParameters + + +# Do not import `transformer_engine` at package level to avoid potential issues + + +def convert_model(model, to_transformer_engine=True, _convert_linear=True, _convert_ln=True): + """ + Recursively converts the linear and layernorm layers of a model to their `transformers_engine` counterpart. + """ + if not is_transformer_engine_available(): + raise ImportError("Using `convert_model` requires transformer_engine to be installed.") + + if is_hpu_available(): + import intel_transformer_engine as te + + if not hasattr(te, "LayerNorm"): + # HPU does not have a LayerNorm implementation in TE + te.LayerNorm = nn.LayerNorm + else: + import transformer_engine.pytorch as te + + for name, module in model.named_children(): + if isinstance(module, nn.Linear) and to_transformer_engine and _convert_linear: + has_bias = module.bias is not None + params_to_gather = [module.weight] + if has_bias: + params_to_gather.append(module.bias) + + with GatheredParameters(params_to_gather, modifier_rank=0): + if any(p % 16 != 0 for p in module.weight.shape): + return + te_module = te.Linear( + module.in_features, module.out_features, bias=has_bias, params_dtype=module.weight.dtype + ) + te_module.weight.copy_(module.weight) + if has_bias: + te_module.bias.copy_(module.bias) + + setattr(model, name, te_module) + # Note: @xrsrke (Phuc) found that te.LayerNorm doesn't have any real memory savings or speedups over nn.LayerNorm + elif isinstance(module, nn.LayerNorm) and to_transformer_engine and _convert_ln: + with GatheredParameters([module.weight, module.bias], modifier_rank=0): + has_bias = module.bias is not None + te_module = te.LayerNorm(module.normalized_shape[0], eps=module.eps, params_dtype=module.weight.dtype) + te_module.weight.copy_(module.weight) + if has_bias: + te_module.bias.copy_(module.bias) + + setattr(model, name, te_module) + elif isinstance(module, te.Linear) and not to_transformer_engine and _convert_linear: + has_bias = module.bias is not None + new_module = nn.Linear( + module.in_features, module.out_features, bias=has_bias, params_dtype=module.weight.dtype + ) + new_module.weight.copy_(module.weight) + if has_bias: + new_module.bias.copy_(module.bias) + + setattr(model, name, new_module) + elif isinstance(module, te.LayerNorm) and not to_transformer_engine and _convert_ln: + new_module = nn.LayerNorm(module.normalized_shape[0], eps=module.eps, params_dtype=module.weight.dtype) + new_module.weight.copy_(module.weight) + new_module.bias.copy_(module.bias) + + setattr(model, name, new_module) + else: + convert_model( + module, + to_transformer_engine=to_transformer_engine, + _convert_linear=_convert_linear, + _convert_ln=_convert_ln, + ) + + +def has_transformer_engine_layers(model): + """ + Returns whether a given model has some `transformer_engine` layer or not. + """ + if not is_transformer_engine_available(): + raise ImportError("Using `has_transformer_engine_layers` requires transformer_engine to be installed.") + + if is_hpu_available(): + import intel_transformer_engine as te + + module_cls_to_check = te.Linear + else: + import transformer_engine.pytorch as te + + module_cls_to_check = (te.LayerNorm, te.Linear, te.TransformerLayer) + + for m in model.modules(): + if isinstance(m, module_cls_to_check): + return True + + return False + + +def contextual_fp8_autocast(model_forward, fp8_recipe, use_during_eval=False): + """ + Wrapper for a model's forward method to apply FP8 autocast. Is context aware, meaning that by default it will + disable FP8 autocast during eval mode, which is generally better for more accurate metrics. + """ + if not is_transformer_engine_available(): + raise ImportError("Using `contextual_fp8_autocast` requires transformer_engine to be installed.") + + if is_hpu_available(): + from intel_transformer_engine import fp8_autocast + else: + from transformer_engine.pytorch import fp8_autocast + + def forward(self, *args, **kwargs): + enabled = use_during_eval or self.training + with fp8_autocast(enabled=enabled, fp8_recipe=fp8_recipe): + return model_forward(*args, **kwargs) + + # To act like a decorator so that it can be popped when doing `extract_model_from_parallel` + forward.__wrapped__ = model_forward + + return forward + + +def apply_fp8_autowrap(model, fp8_recipe_handler): + """ + Applies FP8 context manager to the model's forward method + """ + if not is_transformer_engine_available(): + raise ImportError("Using `apply_fp8_autowrap` requires transformer_engine to be installed.") + + if is_hpu_available(): + import intel_transformer_engine.recipe as te_recipe + + is_fp8_block_scaling_available = False + message = "MXFP8 block scaling is not available on HPU." + + else: + import transformer_engine.common.recipe as te_recipe + import transformer_engine.pytorch as te + + is_fp8_block_scaling_available, message = te.fp8.check_mxfp8_support() + + kwargs = fp8_recipe_handler.to_kwargs() if fp8_recipe_handler is not None else {} + if "fp8_format" in kwargs: + kwargs["fp8_format"] = getattr(te_recipe.Format, kwargs["fp8_format"]) + use_during_eval = kwargs.pop("use_autocast_during_eval", False) + use_mxfp8_block_scaling = kwargs.pop("use_mxfp8_block_scaling", False) + + if use_mxfp8_block_scaling and not is_fp8_block_scaling_available: + raise ValueError(f"MXFP8 block scaling is not available: {message}") + + if use_mxfp8_block_scaling: + if "amax_compute_algo" in kwargs: + raise ValueError("`amax_compute_algo` is not supported for MXFP8 block scaling.") + if "amax_history_len" in kwargs: + raise ValueError("`amax_history_len` is not supported for MXFP8 block scaling.") + fp8_recipe = te_recipe.MXFP8BlockScaling(**kwargs) + else: + fp8_recipe = te_recipe.DelayedScaling(**kwargs) + + new_forward = contextual_fp8_autocast(model.forward, fp8_recipe, use_during_eval) + + if hasattr(model.forward, "__func__"): + model.forward = MethodType(new_forward, model) + else: + model.forward = new_forward + + return model diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/versions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/versions.py new file mode 100644 index 0000000000000000000000000000000000000000..985c918f0e057bacc70c372f6906071bb73db577 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/accelerate/utils/versions.py @@ -0,0 +1,56 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import importlib.metadata +from typing import Union + +from packaging.version import Version, parse + +from .constants import STR_OPERATION_TO_FUNC + + +torch_version = parse(importlib.metadata.version("torch")) + + +def compare_versions(library_or_version: Union[str, Version], operation: str, requirement_version: str): + """ + Compares a library version to some requirement using a given operation. + + Args: + library_or_version (`str` or `packaging.version.Version`): + A library name or a version to check. + operation (`str`): + A string representation of an operator, such as `">"` or `"<="`. + requirement_version (`str`): + The version to compare the library version against + """ + if operation not in STR_OPERATION_TO_FUNC.keys(): + raise ValueError(f"`operation` must be one of {list(STR_OPERATION_TO_FUNC.keys())}, received {operation}") + operation = STR_OPERATION_TO_FUNC[operation] + if isinstance(library_or_version, str): + library_or_version = parse(importlib.metadata.version(library_or_version)) + return operation(library_or_version, parse(requirement_version)) + + +def is_torch_version(operation: str, version: str): + """ + Compares the current PyTorch version to a given reference with an operation. + + Args: + operation (`str`): + A string representation of an operator, such as `">"` or `"<="` + version (`str`): + A string version of PyTorch + """ + return compare_versions(torch_version, operation, version) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..f26bcf4d2de6eb136e31006ca3ab447d5e488adf --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/LICENSE @@ -0,0 +1,279 @@ +A. HISTORY OF THE SOFTWARE +========================== + +Python was created in the early 1990s by Guido van Rossum at Stichting +Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands +as a successor of a language called ABC. Guido remains Python's +principal author, although it includes many contributions from others. + +In 1995, Guido continued his work on Python at the Corporation for +National Research Initiatives (CNRI, see https://www.cnri.reston.va.us) +in Reston, Virginia where he released several versions of the +software. + +In May 2000, Guido and the Python core development team moved to +BeOpen.com to form the BeOpen PythonLabs team. In October of the same +year, the PythonLabs team moved to Digital Creations, which became +Zope Corporation. In 2001, the Python Software Foundation (PSF, see +https://www.python.org/psf/) was formed, a non-profit organization +created specifically to own Python-related Intellectual Property. +Zope Corporation was a sponsoring member of the PSF. + +All Python releases are Open Source (see https://opensource.org for +the Open Source Definition). Historically, most, but not all, Python +releases have also been GPL-compatible; the table below summarizes +the various releases. + + Release Derived Year Owner GPL- + from compatible? (1) + + 0.9.0 thru 1.2 1991-1995 CWI yes + 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes + 1.6 1.5.2 2000 CNRI no + 2.0 1.6 2000 BeOpen.com no + 1.6.1 1.6 2001 CNRI yes (2) + 2.1 2.0+1.6.1 2001 PSF no + 2.0.1 2.0+1.6.1 2001 PSF yes + 2.1.1 2.1+2.0.1 2001 PSF yes + 2.1.2 2.1.1 2002 PSF yes + 2.1.3 2.1.2 2002 PSF yes + 2.2 and above 2.1.1 2001-now PSF yes + +Footnotes: + +(1) GPL-compatible doesn't mean that we're distributing Python under + the GPL. All Python licenses, unlike the GPL, let you distribute + a modified version without making your changes open source. The + GPL-compatible licenses make it possible to combine Python with + other software that is released under the GPL; the others don't. + +(2) According to Richard Stallman, 1.6.1 is not GPL-compatible, + because its license has a choice of law clause. According to + CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1 + is "not incompatible" with the GPL. + +Thanks to the many outside volunteers who have worked under Guido's +direction to make these releases possible. + + +B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON +=============================================================== + +Python software and documentation are licensed under the +Python Software Foundation License Version 2. + +Starting with Python 3.8.6, examples, recipes, and other code in +the documentation are dual licensed under the PSF License Version 2 +and the Zero-Clause BSD license. + +Some software incorporated into Python is under different licenses. +The licenses are listed with code falling under that license. + + +PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 +-------------------------------------------- + +1. This LICENSE AGREEMENT is between the Python Software Foundation +("PSF"), and the Individual or Organization ("Licensee") accessing and +otherwise using this software ("Python") in source or binary form and +its associated documentation. + +2. Subject to the terms and conditions of this License Agreement, PSF hereby +grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, +analyze, test, perform and/or display publicly, prepare derivative works, +distribute, and otherwise use Python alone or in any derivative version, +provided, however, that PSF's License Agreement and PSF's notice of copyright, +i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, +2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation; +All Rights Reserved" are retained in Python alone or in any derivative version +prepared by Licensee. + +3. In the event Licensee prepares a derivative work that is based on +or incorporates Python or any part thereof, and wants to make +the derivative work available to others as provided herein, then +Licensee hereby agrees to include in any such work a brief summary of +the changes made to Python. + +4. PSF is making Python available to Licensee on an "AS IS" +basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR +IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND +DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS +FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT +INFRINGE ANY THIRD PARTY RIGHTS. + +5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON +FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS +A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON, +OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + +6. This License Agreement will automatically terminate upon a material +breach of its terms and conditions. + +7. Nothing in this License Agreement shall be deemed to create any +relationship of agency, partnership, or joint venture between PSF and +Licensee. This License Agreement does not grant permission to use PSF +trademarks or trade name in a trademark sense to endorse or promote +products or services of Licensee, or any third party. + +8. By copying, installing or otherwise using Python, Licensee +agrees to be bound by the terms and conditions of this License +Agreement. + + +BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0 +------------------------------------------- + +BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1 + +1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an +office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the +Individual or Organization ("Licensee") accessing and otherwise using +this software in source or binary form and its associated +documentation ("the Software"). + +2. 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As an exception, the "BeOpen Python" logos available at +http://www.pythonlabs.com/logos.html may be used according to the +permissions granted on that web page. + +7. By copying, installing or otherwise using the software, Licensee +agrees to be bound by the terms and conditions of this License +Agreement. + + +CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1 +--------------------------------------- + +1. This LICENSE AGREEMENT is between the Corporation for National +Research Initiatives, having an office at 1895 Preston White Drive, +Reston, VA 20191 ("CNRI"), and the Individual or Organization +("Licensee") accessing and otherwise using Python 1.6.1 software in +source or binary form and its associated documentation. + +2. Subject to the terms and conditions of this License Agreement, CNRI +hereby grants Licensee a nonexclusive, royalty-free, world-wide +license to reproduce, analyze, test, perform and/or display publicly, +prepare derivative works, distribute, and otherwise use Python 1.6.1 +alone or in any derivative version, provided, however, that CNRI's +License Agreement and CNRI's notice of copyright, i.e., "Copyright (c) +1995-2001 Corporation for National Research Initiatives; All Rights +Reserved" are retained in Python 1.6.1 alone or in any derivative +version prepared by Licensee. Alternately, in lieu of CNRI's License +Agreement, Licensee may substitute the following text (omitting the +quotes): "Python 1.6.1 is made available subject to the terms and +conditions in CNRI's License Agreement. This Agreement together with +Python 1.6.1 may be located on the internet using the following +unique, persistent identifier (known as a handle): 1895.22/1013. This +Agreement may also be obtained from a proxy server on the internet +using the following URL: http://hdl.handle.net/1895.22/1013". + +3. In the event Licensee prepares a derivative work that is based on +or incorporates Python 1.6.1 or any part thereof, and wants to make +the derivative work available to others as provided herein, then +Licensee hereby agrees to include in any such work a brief summary of +the changes made to Python 1.6.1. + +4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS" +basis. CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR +IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND +DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS +FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT +INFRINGE ANY THIRD PARTY RIGHTS. + +5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON +1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS +A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1, +OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + +6. This License Agreement will automatically terminate upon a material +breach of its terms and conditions. + +7. This License Agreement shall be governed by the federal +intellectual property law of the United States, including without +limitation the federal copyright law, and, to the extent such +U.S. federal law does not apply, by the law of the Commonwealth of +Virginia, excluding Virginia's conflict of law provisions. +Notwithstanding the foregoing, with regard to derivative works based +on Python 1.6.1 that incorporate non-separable material that was +previously distributed under the GNU General Public License (GPL), the +law of the Commonwealth of Virginia shall govern this License +Agreement only as to issues arising under or with respect to +Paragraphs 4, 5, and 7 of this License Agreement. Nothing in this +License Agreement shall be deemed to create any relationship of +agency, partnership, or joint venture between CNRI and Licensee. This +License Agreement does not grant permission to use CNRI trademarks or +trade name in a trademark sense to endorse or promote products or +services of Licensee, or any third party. + +8. By clicking on the "ACCEPT" button where indicated, or by copying, +installing or otherwise using Python 1.6.1, Licensee agrees to be +bound by the terms and conditions of this License Agreement. + + ACCEPT + + +CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2 +-------------------------------------------------- + +Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam, +The Netherlands. All rights reserved. + +Permission to use, copy, modify, and distribute this software and its +documentation for any purpose and without fee is hereby granted, +provided that the above copyright notice appear in all copies and that +both that copyright notice and this permission notice appear in +supporting documentation, and that the name of Stichting Mathematisch +Centrum or CWI not be used in advertising or publicity pertaining to +distribution of the software without specific, written prior +permission. + +STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO +THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND +FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE +FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES +WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN +ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT +OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. + +ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON DOCUMENTATION +---------------------------------------------------------------------- + +Permission to use, copy, modify, and/or distribute this software for any +purpose with or without fee is hereby granted. + +THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH +REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY +AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, +INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM +LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR +OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR +PERFORMANCE OF THIS SOFTWARE. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..c632040d66bf120a377fc3785940934361273a66 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/METADATA @@ -0,0 +1,123 @@ +Metadata-Version: 2.3 +Name: aiohappyeyeballs +Version: 2.6.1 +Summary: Happy Eyeballs for asyncio +License: PSF-2.0 +Author: J. Nick Koston +Author-email: nick@koston.org +Requires-Python: >=3.9 +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: Natural Language :: English +Classifier: Operating System :: OS Independent +Classifier: Topic :: Software Development :: Libraries +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: License :: OSI Approved :: Python Software Foundation License +Project-URL: Bug Tracker, https://github.com/aio-libs/aiohappyeyeballs/issues +Project-URL: Changelog, https://github.com/aio-libs/aiohappyeyeballs/blob/main/CHANGELOG.md +Project-URL: Documentation, https://aiohappyeyeballs.readthedocs.io +Project-URL: Repository, https://github.com/aio-libs/aiohappyeyeballs +Description-Content-Type: text/markdown + +# aiohappyeyeballs + +

+ + CI Status + + + Documentation Status + + + Test coverage percentage + +

+

+ + Poetry + + + Ruff + + + pre-commit + +

+

+ + PyPI Version + + Supported Python versions + License +

+ +--- + +**Documentation**: https://aiohappyeyeballs.readthedocs.io + +**Source Code**: https://github.com/aio-libs/aiohappyeyeballs + +--- + +[Happy Eyeballs](https://en.wikipedia.org/wiki/Happy_Eyeballs) +([RFC 8305](https://www.rfc-editor.org/rfc/rfc8305.html)) + +## Use case + +This library exists to allow connecting with +[Happy Eyeballs](https://en.wikipedia.org/wiki/Happy_Eyeballs) +([RFC 8305](https://www.rfc-editor.org/rfc/rfc8305.html)) +when you +already have a list of addrinfo and not a DNS name. + +The stdlib version of `loop.create_connection()` +will only work when you pass in an unresolved name which +is not a good fit when using DNS caching or resolving +names via another method such as `zeroconf`. + +## Installation + +Install this via pip (or your favourite package manager): + +`pip install aiohappyeyeballs` + +## License + +[aiohappyeyeballs is licensed under the same terms as cpython itself.](https://github.com/python/cpython/blob/main/LICENSE) + +## Example usage + +```python + +addr_infos = await loop.getaddrinfo("example.org", 80) + +socket = await start_connection(addr_infos) +socket = await start_connection(addr_infos, local_addr_infos=local_addr_infos, happy_eyeballs_delay=0.2) + +transport, protocol = await loop.create_connection( + MyProtocol, sock=socket, ...) + +# Remove the first address for each family from addr_info +pop_addr_infos_interleave(addr_info, 1) + +# Remove all matching address from addr_info +remove_addr_infos(addr_info, "dead::beef::") + +# Convert a local_addr to local_addr_infos +local_addr_infos = addr_to_addr_infos(("127.0.0.1",0)) +``` + +## Credits + +This package contains code from cpython and is licensed under the same terms as cpython itself. + +This package was created with +[Copier](https://copier.readthedocs.io/) and the +[browniebroke/pypackage-template](https://github.com/browniebroke/pypackage-template) +project template. + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..2049d95c378f68cb9525ad31957d9c10a1018a6b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/RECORD @@ -0,0 +1,16 @@ +aiohappyeyeballs-2.6.1.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +aiohappyeyeballs-2.6.1.dist-info/LICENSE,sha256=Oy-B_iHRgcSZxZolbI4ZaEVdZonSaaqFNzv7avQdo78,13936 +aiohappyeyeballs-2.6.1.dist-info/METADATA,sha256=NSXlhJwAfi380eEjAo7BQ4P_TVal9xi0qkyZWibMsVM,5915 +aiohappyeyeballs-2.6.1.dist-info/RECORD,, +aiohappyeyeballs-2.6.1.dist-info/WHEEL,sha256=XbeZDeTWKc1w7CSIyre5aMDU_-PohRwTQceYnisIYYY,88 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b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..0582547b15f02d3a51659106262832565d5dc5ea --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs-2.6.1.dist-info/WHEEL @@ -0,0 +1,4 @@ +Wheel-Version: 1.0 +Generator: poetry-core 2.1.1 +Root-Is-Purelib: true +Tag: py3-none-any diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..71c689cc83ffdec6c079a22984cf80a5ab7bb272 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/__init__.py @@ -0,0 +1,14 @@ +__version__ = "2.6.1" + +from .impl import start_connection +from .types import AddrInfoType, SocketFactoryType +from .utils import addr_to_addr_infos, pop_addr_infos_interleave, remove_addr_infos + +__all__ = ( + "AddrInfoType", + "SocketFactoryType", + "addr_to_addr_infos", + "pop_addr_infos_interleave", + "remove_addr_infos", + "start_connection", +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/_staggered.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/_staggered.py new file mode 100644 index 0000000000000000000000000000000000000000..9a4ba7205eda2ddeb2ebb6c5a34108c1a61cce6d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/_staggered.py @@ -0,0 +1,207 @@ +import asyncio +import contextlib + +# PY3.9: Import Callable from typing until we drop Python 3.9 support +# https://github.com/python/cpython/issues/87131 +from typing import ( + TYPE_CHECKING, + Any, + Awaitable, + Callable, + Iterable, + List, + Optional, + Set, + Tuple, + TypeVar, + Union, +) + +_T = TypeVar("_T") + +RE_RAISE_EXCEPTIONS = (SystemExit, KeyboardInterrupt) + + +def _set_result(wait_next: "asyncio.Future[None]") -> None: + """Set the result of a future if it is not already done.""" + if not wait_next.done(): + wait_next.set_result(None) + + +async def _wait_one( + futures: "Iterable[asyncio.Future[Any]]", + loop: asyncio.AbstractEventLoop, +) -> _T: + """Wait for the first future to complete.""" + wait_next = loop.create_future() + + def _on_completion(fut: "asyncio.Future[Any]") -> None: + if not wait_next.done(): + wait_next.set_result(fut) + + for f in futures: + f.add_done_callback(_on_completion) + + try: + return await wait_next + finally: + for f in futures: + f.remove_done_callback(_on_completion) + + +async def staggered_race( + coro_fns: Iterable[Callable[[], Awaitable[_T]]], + delay: Optional[float], + *, + loop: Optional[asyncio.AbstractEventLoop] = None, +) -> Tuple[Optional[_T], Optional[int], List[Optional[BaseException]]]: + """ + Run coroutines with staggered start times and take the first to finish. + + This method takes an iterable of coroutine functions. The first one is + started immediately. From then on, whenever the immediately preceding one + fails (raises an exception), or when *delay* seconds has passed, the next + coroutine is started. This continues until one of the coroutines complete + successfully, in which case all others are cancelled, or until all + coroutines fail. + + The coroutines provided should be well-behaved in the following way: + + * They should only ``return`` if completed successfully. + + * They should always raise an exception if they did not complete + successfully. In particular, if they handle cancellation, they should + probably reraise, like this:: + + try: + # do work + except asyncio.CancelledError: + # undo partially completed work + raise + + Args: + ---- + coro_fns: an iterable of coroutine functions, i.e. callables that + return a coroutine object when called. Use ``functools.partial`` or + lambdas to pass arguments. + + delay: amount of time, in seconds, between starting coroutines. If + ``None``, the coroutines will run sequentially. + + loop: the event loop to use. If ``None``, the running loop is used. + + Returns: + ------- + tuple *(winner_result, winner_index, exceptions)* where + + - *winner_result*: the result of the winning coroutine, or ``None`` + if no coroutines won. + + - *winner_index*: the index of the winning coroutine in + ``coro_fns``, or ``None`` if no coroutines won. If the winning + coroutine may return None on success, *winner_index* can be used + to definitively determine whether any coroutine won. + + - *exceptions*: list of exceptions returned by the coroutines. + ``len(exceptions)`` is equal to the number of coroutines actually + started, and the order is the same as in ``coro_fns``. The winning + coroutine's entry is ``None``. + + """ + loop = loop or asyncio.get_running_loop() + exceptions: List[Optional[BaseException]] = [] + tasks: Set[asyncio.Task[Optional[Tuple[_T, int]]]] = set() + + async def run_one_coro( + coro_fn: Callable[[], Awaitable[_T]], + this_index: int, + start_next: "asyncio.Future[None]", + ) -> Optional[Tuple[_T, int]]: + """ + Run a single coroutine. + + If the coroutine fails, set the exception in the exceptions list and + start the next coroutine by setting the result of the start_next. + + If the coroutine succeeds, return the result and the index of the + coroutine in the coro_fns list. + + If SystemExit or KeyboardInterrupt is raised, re-raise it. + """ + try: + result = await coro_fn() + except RE_RAISE_EXCEPTIONS: + raise + except BaseException as e: + exceptions[this_index] = e + _set_result(start_next) # Kickstart the next coroutine + return None + + return result, this_index + + start_next_timer: Optional[asyncio.TimerHandle] = None + start_next: Optional[asyncio.Future[None]] + task: asyncio.Task[Optional[Tuple[_T, int]]] + done: Union[asyncio.Future[None], asyncio.Task[Optional[Tuple[_T, int]]]] + coro_iter = iter(coro_fns) + this_index = -1 + try: + while True: + if coro_fn := next(coro_iter, None): + this_index += 1 + exceptions.append(None) + start_next = loop.create_future() + task = loop.create_task(run_one_coro(coro_fn, this_index, start_next)) + tasks.add(task) + start_next_timer = ( + loop.call_later(delay, _set_result, start_next) if delay else None + ) + elif not tasks: + # We exhausted the coro_fns list and no tasks are running + # so we have no winner and all coroutines failed. + break + + while tasks or start_next: + done = await _wait_one( + (*tasks, start_next) if start_next else tasks, loop + ) + if done is start_next: + # The current task has failed or the timer has expired + # so we need to start the next task. + start_next = None + if start_next_timer: + start_next_timer.cancel() + start_next_timer = None + + # Break out of the task waiting loop to start the next + # task. + break + + if TYPE_CHECKING: + assert isinstance(done, asyncio.Task) + + tasks.remove(done) + if winner := done.result(): + return *winner, exceptions + finally: + # We either have: + # - a winner + # - all tasks failed + # - a KeyboardInterrupt or SystemExit. + + # + # If the timer is still running, cancel it. + # + if start_next_timer: + start_next_timer.cancel() + + # + # If there are any tasks left, cancel them and than + # wait them so they fill the exceptions list. + # + for task in tasks: + task.cancel() + with contextlib.suppress(asyncio.CancelledError): + await task + + return None, None, exceptions diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/impl.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/impl.py new file mode 100644 index 0000000000000000000000000000000000000000..8f3919a0c959f6dc84cbdfce470218a9ac7fac65 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/impl.py @@ -0,0 +1,259 @@ +"""Base implementation.""" + +import asyncio +import collections +import contextlib +import functools +import itertools +import socket +from typing import List, Optional, Sequence, Set, Union + +from . import _staggered +from .types import AddrInfoType, SocketFactoryType + + +async def start_connection( + addr_infos: Sequence[AddrInfoType], + *, + local_addr_infos: Optional[Sequence[AddrInfoType]] = None, + happy_eyeballs_delay: Optional[float] = None, + interleave: Optional[int] = None, + loop: Optional[asyncio.AbstractEventLoop] = None, + socket_factory: Optional[SocketFactoryType] = None, +) -> socket.socket: + """ + Connect to a TCP server. + + Create a socket connection to a specified destination. The + destination is specified as a list of AddrInfoType tuples as + returned from getaddrinfo(). + + The arguments are, in order: + + * ``family``: the address family, e.g. ``socket.AF_INET`` or + ``socket.AF_INET6``. + * ``type``: the socket type, e.g. ``socket.SOCK_STREAM`` or + ``socket.SOCK_DGRAM``. + * ``proto``: the protocol, e.g. ``socket.IPPROTO_TCP`` or + ``socket.IPPROTO_UDP``. + * ``canonname``: the canonical name of the address, e.g. + ``"www.python.org"``. + * ``sockaddr``: the socket address + + This method is a coroutine which will try to establish the connection + in the background. When successful, the coroutine returns a + socket. + + The expected use case is to use this method in conjunction with + loop.create_connection() to establish a connection to a server:: + + socket = await start_connection(addr_infos) + transport, protocol = await loop.create_connection( + MyProtocol, sock=socket, ...) + """ + if not (current_loop := loop): + current_loop = asyncio.get_running_loop() + + single_addr_info = len(addr_infos) == 1 + + if happy_eyeballs_delay is not None and interleave is None: + # If using happy eyeballs, default to interleave addresses by family + interleave = 1 + + if interleave and not single_addr_info: + addr_infos = _interleave_addrinfos(addr_infos, interleave) + + sock: Optional[socket.socket] = None + # uvloop can raise RuntimeError instead of OSError + exceptions: List[List[Union[OSError, RuntimeError]]] = [] + if happy_eyeballs_delay is None or single_addr_info: + # not using happy eyeballs + for addrinfo in addr_infos: + try: + sock = await _connect_sock( + current_loop, + exceptions, + addrinfo, + local_addr_infos, + None, + socket_factory, + ) + break + except (RuntimeError, OSError): + continue + else: # using happy eyeballs + open_sockets: Set[socket.socket] = set() + try: + sock, _, _ = await _staggered.staggered_race( + ( + functools.partial( + _connect_sock, + current_loop, + exceptions, + addrinfo, + local_addr_infos, + open_sockets, + socket_factory, + ) + for addrinfo in addr_infos + ), + happy_eyeballs_delay, + ) + finally: + # If we have a winner, staggered_race will + # cancel the other tasks, however there is a + # small race window where any of the other tasks + # can be done before they are cancelled which + # will leave the socket open. To avoid this problem + # we pass a set to _connect_sock to keep track of + # the open sockets and close them here if there + # are any "runner up" sockets. + for s in open_sockets: + if s is not sock: + with contextlib.suppress(OSError): + s.close() + open_sockets = None # type: ignore[assignment] + + if sock is None: + all_exceptions = [exc for sub in exceptions for exc in sub] + try: + first_exception = all_exceptions[0] + if len(all_exceptions) == 1: + raise first_exception + else: + # If they all have the same str(), raise one. + model = str(first_exception) + if all(str(exc) == model for exc in all_exceptions): + raise first_exception + # Raise a combined exception so the user can see all + # the various error messages. + msg = "Multiple exceptions: {}".format( + ", ".join(str(exc) for exc in all_exceptions) + ) + # If the errno is the same for all exceptions, raise + # an OSError with that errno. + if isinstance(first_exception, OSError): + first_errno = first_exception.errno + if all( + isinstance(exc, OSError) and exc.errno == first_errno + for exc in all_exceptions + ): + raise OSError(first_errno, msg) + elif isinstance(first_exception, RuntimeError) and all( + isinstance(exc, RuntimeError) for exc in all_exceptions + ): + raise RuntimeError(msg) + # We have a mix of OSError and RuntimeError + # so we have to pick which one to raise. + # and we raise OSError for compatibility + raise OSError(msg) + finally: + all_exceptions = None # type: ignore[assignment] + exceptions = None # type: ignore[assignment] + + return sock + + +async def _connect_sock( + loop: asyncio.AbstractEventLoop, + exceptions: List[List[Union[OSError, RuntimeError]]], + addr_info: AddrInfoType, + local_addr_infos: Optional[Sequence[AddrInfoType]] = None, + open_sockets: Optional[Set[socket.socket]] = None, + socket_factory: Optional[SocketFactoryType] = None, +) -> socket.socket: + """ + Create, bind and connect one socket. + + If open_sockets is passed, add the socket to the set of open sockets. + Any failure caught here will remove the socket from the set and close it. + + Callers can use this set to close any sockets that are not the winner + of all staggered tasks in the result there are runner up sockets aka + multiple winners. + """ + my_exceptions: List[Union[OSError, RuntimeError]] = [] + exceptions.append(my_exceptions) + family, type_, proto, _, address = addr_info + sock = None + try: + if socket_factory is not None: + sock = socket_factory(addr_info) + else: + sock = socket.socket(family=family, type=type_, proto=proto) + if open_sockets is not None: + open_sockets.add(sock) + sock.setblocking(False) + if local_addr_infos is not None: + for lfamily, _, _, _, laddr in local_addr_infos: + # skip local addresses of different family + if lfamily != family: + continue + try: + sock.bind(laddr) + break + except OSError as exc: + msg = ( + f"error while attempting to bind on " + f"address {laddr!r}: " + f"{(exc.strerror or '').lower()}" + ) + exc = OSError(exc.errno, msg) + my_exceptions.append(exc) + else: # all bind attempts failed + if my_exceptions: + raise my_exceptions.pop() + else: + raise OSError(f"no matching local address with {family=} found") + await loop.sock_connect(sock, address) + return sock + except (RuntimeError, OSError) as exc: + my_exceptions.append(exc) + if sock is not None: + if open_sockets is not None: + open_sockets.remove(sock) + try: + sock.close() + except OSError as e: + my_exceptions.append(e) + raise + raise + except: + if sock is not None: + if open_sockets is not None: + open_sockets.remove(sock) + try: + sock.close() + except OSError as e: + my_exceptions.append(e) + raise + raise + finally: + exceptions = my_exceptions = None # type: ignore[assignment] + + +def _interleave_addrinfos( + addrinfos: Sequence[AddrInfoType], first_address_family_count: int = 1 +) -> List[AddrInfoType]: + """Interleave list of addrinfo tuples by family.""" + # Group addresses by family + addrinfos_by_family: collections.OrderedDict[int, List[AddrInfoType]] = ( + collections.OrderedDict() + ) + for addr in addrinfos: + family = addr[0] + if family not in addrinfos_by_family: + addrinfos_by_family[family] = [] + addrinfos_by_family[family].append(addr) + addrinfos_lists = list(addrinfos_by_family.values()) + + reordered: List[AddrInfoType] = [] + if first_address_family_count > 1: + reordered.extend(addrinfos_lists[0][: first_address_family_count - 1]) + del addrinfos_lists[0][: first_address_family_count - 1] + reordered.extend( + a + for a in itertools.chain.from_iterable(itertools.zip_longest(*addrinfos_lists)) + if a is not None + ) + return reordered diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/types.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/types.py new file mode 100644 index 0000000000000000000000000000000000000000..e8c75074e7ab397af7ee1d1eb57cf04957a7a619 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/types.py @@ -0,0 +1,17 @@ +"""Types for aiohappyeyeballs.""" + +import socket + +# PY3.9: Import Callable from typing until we drop Python 3.9 support +# https://github.com/python/cpython/issues/87131 +from typing import Callable, Tuple, Union + +AddrInfoType = Tuple[ + Union[int, socket.AddressFamily], + Union[int, socket.SocketKind], + int, + str, + Tuple, # type: ignore[type-arg] +] + +SocketFactoryType = Callable[[AddrInfoType], socket.socket] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..ea29adb9be9edd751cd6d7b93ca9c4bd8d08b658 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohappyeyeballs/utils.py @@ -0,0 +1,97 @@ +"""Utility functions for aiohappyeyeballs.""" + +import ipaddress +import socket +from typing import Dict, List, Optional, Tuple, Union + +from .types import AddrInfoType + + +def addr_to_addr_infos( + addr: Optional[ + Union[Tuple[str, int, int, int], Tuple[str, int, int], Tuple[str, int]] + ], +) -> Optional[List[AddrInfoType]]: + """Convert an address tuple to a list of addr_info tuples.""" + if addr is None: + return None + host = addr[0] + port = addr[1] + is_ipv6 = ":" in host + if is_ipv6: + flowinfo = 0 + scopeid = 0 + addr_len = len(addr) + if addr_len >= 4: + scopeid = addr[3] # type: ignore[misc] + if addr_len >= 3: + flowinfo = addr[2] # type: ignore[misc] + addr = (host, port, flowinfo, scopeid) + family = socket.AF_INET6 + else: + addr = (host, port) + family = socket.AF_INET + return [(family, socket.SOCK_STREAM, socket.IPPROTO_TCP, "", addr)] + + +def pop_addr_infos_interleave( + addr_infos: List[AddrInfoType], interleave: Optional[int] = None +) -> None: + """ + Pop addr_info from the list of addr_infos by family up to interleave times. + + The interleave parameter is used to know how many addr_infos for + each family should be popped of the top of the list. + """ + seen: Dict[int, int] = {} + if interleave is None: + interleave = 1 + to_remove: List[AddrInfoType] = [] + for addr_info in addr_infos: + family = addr_info[0] + if family not in seen: + seen[family] = 0 + if seen[family] < interleave: + to_remove.append(addr_info) + seen[family] += 1 + for addr_info in to_remove: + addr_infos.remove(addr_info) + + +def _addr_tuple_to_ip_address( + addr: Union[Tuple[str, int], Tuple[str, int, int, int]], +) -> Union[ + Tuple[ipaddress.IPv4Address, int], Tuple[ipaddress.IPv6Address, int, int, int] +]: + """Convert an address tuple to an IPv4Address.""" + return (ipaddress.ip_address(addr[0]), *addr[1:]) + + +def remove_addr_infos( + addr_infos: List[AddrInfoType], + addr: Union[Tuple[str, int], Tuple[str, int, int, int]], +) -> None: + """ + Remove an address from the list of addr_infos. + + The addr value is typically the return value of + sock.getpeername(). + """ + bad_addrs_infos: List[AddrInfoType] = [] + for addr_info in addr_infos: + if addr_info[-1] == addr: + bad_addrs_infos.append(addr_info) + if bad_addrs_infos: + for bad_addr_info in bad_addrs_infos: + addr_infos.remove(bad_addr_info) + return + # Slow path in case addr is formatted differently + match_addr = _addr_tuple_to_ip_address(addr) + for addr_info in addr_infos: + if match_addr == _addr_tuple_to_ip_address(addr_info[-1]): + bad_addrs_infos.append(addr_info) + if bad_addrs_infos: + for bad_addr_info in bad_addrs_infos: + addr_infos.remove(bad_addr_info) + return + raise ValueError(f"Address {addr} not found in addr_infos") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..078765d91eb4b08b23a0d13c7b05a5b4946418b2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/METADATA @@ -0,0 +1,262 @@ +Metadata-Version: 2.4 +Name: aiohttp +Version: 3.13.3 +Summary: Async http client/server framework (asyncio) +Maintainer-email: aiohttp team +License: Apache-2.0 AND MIT +Project-URL: Homepage, https://github.com/aio-libs/aiohttp +Project-URL: Chat: Matrix, https://matrix.to/#/#aio-libs:matrix.org +Project-URL: Chat: Matrix Space, https://matrix.to/#/#aio-libs-space:matrix.org +Project-URL: CI: GitHub Actions, https://github.com/aio-libs/aiohttp/actions?query=workflow%3ACI +Project-URL: Coverage: codecov, https://codecov.io/github/aio-libs/aiohttp +Project-URL: Docs: Changelog, https://docs.aiohttp.org/en/stable/changes.html +Project-URL: Docs: RTD, https://docs.aiohttp.org +Project-URL: GitHub: issues, https://github.com/aio-libs/aiohttp/issues +Project-URL: GitHub: repo, https://github.com/aio-libs/aiohttp +Classifier: Development Status :: 5 - Production/Stable +Classifier: Framework :: AsyncIO +Classifier: Intended Audience :: Developers +Classifier: Operating System :: POSIX +Classifier: Operating System :: MacOS :: MacOS X +Classifier: Operating System :: Microsoft :: Windows +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: 3.14 +Classifier: Topic :: Internet :: WWW/HTTP +Requires-Python: >=3.9 +Description-Content-Type: text/x-rst +License-File: LICENSE.txt +License-File: vendor/llhttp/LICENSE +Requires-Dist: aiohappyeyeballs>=2.5.0 +Requires-Dist: aiosignal>=1.4.0 +Requires-Dist: async-timeout<6.0,>=4.0; python_version < "3.11" +Requires-Dist: attrs>=17.3.0 +Requires-Dist: frozenlist>=1.1.1 +Requires-Dist: multidict<7.0,>=4.5 +Requires-Dist: propcache>=0.2.0 +Requires-Dist: yarl<2.0,>=1.17.0 +Provides-Extra: speedups +Requires-Dist: aiodns>=3.3.0; extra == "speedups" +Requires-Dist: Brotli>=1.2; platform_python_implementation == "CPython" and extra == "speedups" +Requires-Dist: brotlicffi>=1.2; platform_python_implementation != "CPython" and extra == "speedups" +Requires-Dist: backports.zstd; (platform_python_implementation == "CPython" and python_version < "3.14") and extra == "speedups" +Dynamic: license-file + +================================== +Async http client/server framework +================================== + +.. image:: https://raw.githubusercontent.com/aio-libs/aiohttp/master/docs/aiohttp-plain.svg + :height: 64px + :width: 64px + :alt: aiohttp logo + +| + +.. image:: https://github.com/aio-libs/aiohttp/workflows/CI/badge.svg + :target: https://github.com/aio-libs/aiohttp/actions?query=workflow%3ACI + :alt: GitHub Actions status for master branch + +.. image:: https://codecov.io/gh/aio-libs/aiohttp/branch/master/graph/badge.svg + :target: https://codecov.io/gh/aio-libs/aiohttp + :alt: codecov.io status for master branch + +.. image:: https://badge.fury.io/py/aiohttp.svg + :target: https://pypi.org/project/aiohttp + :alt: Latest PyPI package version + +.. image:: https://img.shields.io/pypi/dm/aiohttp + :target: https://pypistats.org/packages/aiohttp + :alt: Downloads count + +.. image:: https://readthedocs.org/projects/aiohttp/badge/?version=latest + :target: https://docs.aiohttp.org/ + :alt: Latest Read The Docs + +.. image:: https://img.shields.io/endpoint?url=https://codspeed.io/badge.json + :target: https://codspeed.io/aio-libs/aiohttp + :alt: Codspeed.io status for aiohttp + + +Key Features +============ + +- Supports both client and server side of HTTP protocol. +- Supports both client and server Web-Sockets out-of-the-box and avoids + Callback Hell. +- Provides Web-server with middleware and pluggable routing. + + +Getting started +=============== + +Client +------ + +To get something from the web: + +.. code-block:: python + + import aiohttp + import asyncio + + async def main(): + + async with aiohttp.ClientSession() as session: + async with session.get('http://python.org') as response: + + print("Status:", response.status) + print("Content-type:", response.headers['content-type']) + + html = await response.text() + print("Body:", html[:15], "...") + + asyncio.run(main()) + +This prints: + +.. code-block:: + + Status: 200 + Content-type: text/html; charset=utf-8 + Body: ... + +Coming from `requests `_ ? Read `why we need so many lines `_. + +Server +------ + +An example using a simple server: + +.. code-block:: python + + # examples/server_simple.py + from aiohttp import web + + async def handle(request): + name = request.match_info.get('name', "Anonymous") + text = "Hello, " + name + return web.Response(text=text) + + async def wshandle(request): + ws = web.WebSocketResponse() + await ws.prepare(request) + + async for msg in ws: + if msg.type == web.WSMsgType.text: + await ws.send_str("Hello, {}".format(msg.data)) + elif msg.type == web.WSMsgType.binary: + await ws.send_bytes(msg.data) + elif msg.type == web.WSMsgType.close: + break + + return ws + + + app = web.Application() + app.add_routes([web.get('/', handle), + web.get('/echo', wshandle), + web.get('/{name}', handle)]) + + if __name__ == '__main__': + web.run_app(app) + + +Documentation +============= + +https://aiohttp.readthedocs.io/ + + +Demos +===== + +https://github.com/aio-libs/aiohttp-demos + + +External links +============== + +* `Third party libraries + `_ +* `Built with aiohttp + `_ +* `Powered by aiohttp + `_ + +Feel free to make a Pull Request for adding your link to these pages! + + +Communication channels +====================== + +*aio-libs Discussions*: https://github.com/aio-libs/aiohttp/discussions + +*Matrix*: `#aio-libs:matrix.org `_ + +We support `Stack Overflow +`_. +Please add *aiohttp* tag to your question there. + +Requirements +============ + +- attrs_ +- multidict_ +- yarl_ +- frozenlist_ + +Optionally you may install the aiodns_ library (highly recommended for sake of speed). + +.. _aiodns: https://pypi.python.org/pypi/aiodns +.. _attrs: https://github.com/python-attrs/attrs +.. _multidict: https://pypi.python.org/pypi/multidict +.. _frozenlist: https://pypi.org/project/frozenlist/ +.. _yarl: https://pypi.python.org/pypi/yarl +.. _async-timeout: https://pypi.python.org/pypi/async_timeout + +License +======= + +``aiohttp`` is offered under the Apache 2 license. + + +Keepsafe +======== + +The aiohttp community would like to thank Keepsafe +(https://www.getkeepsafe.com) for its support in the early days of +the project. + + +Source code +=========== + +The latest developer version is available in a GitHub repository: +https://github.com/aio-libs/aiohttp + +Benchmarks +========== + +If you are interested in efficiency, the AsyncIO community maintains a +list of benchmarks on the official wiki: +https://github.com/python/asyncio/wiki/Benchmarks + +-------- + +.. image:: https://img.shields.io/matrix/aio-libs:matrix.org?label=Discuss%20on%20Matrix%20at%20%23aio-libs%3Amatrix.org&logo=matrix&server_fqdn=matrix.org&style=flat + :target: https://matrix.to/#/%23aio-libs:matrix.org + :alt: Matrix Room — #aio-libs:matrix.org + +.. image:: https://img.shields.io/matrix/aio-libs-space:matrix.org?label=Discuss%20on%20Matrix%20at%20%23aio-libs-space%3Amatrix.org&logo=matrix&server_fqdn=matrix.org&style=flat + :target: https://matrix.to/#/%23aio-libs-space:matrix.org + :alt: Matrix Space — #aio-libs-space:matrix.org + +.. image:: https://insights.linuxfoundation.org/api/badge/health-score?project=aiohttp + :target: https://insights.linuxfoundation.org/project/aiohttp + :alt: LFX Health Score diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..60a5178b065e6b38ed48c1181e698419f561ab06 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/RECORD @@ -0,0 +1,138 @@ +aiohttp-3.13.3.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +aiohttp-3.13.3.dist-info/METADATA,sha256=CQROZCStho-eb7xiFIuAzj30JuupEU_jHpYDFiG_HhM,8145 +aiohttp-3.13.3.dist-info/RECORD,, 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a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/WHEEL b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..6d6bf82d678c683effaf22b612f4dea70dd9933d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/WHEEL @@ -0,0 +1,7 @@ +Wheel-Version: 1.0 +Generator: setuptools (80.9.0) +Root-Is-Purelib: false +Tag: cp310-cp310-manylinux_2_17_x86_64 +Tag: cp310-cp310-manylinux2014_x86_64 +Tag: cp310-cp310-manylinux_2_28_x86_64 + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/licenses/LICENSE.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/licenses/LICENSE.txt new file mode 100644 index 0000000000000000000000000000000000000000..e497a322f2091d022983b9c5c043082ab61d1a8c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/licenses/LICENSE.txt @@ -0,0 +1,13 @@ + Copyright aio-libs contributors. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/licenses/vendor/llhttp/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/licenses/vendor/llhttp/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..6c1512dd6bcd6de314673f8c2c7ff3fd6139f28e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/licenses/vendor/llhttp/LICENSE @@ -0,0 +1,22 @@ +This software is licensed under the MIT License. + +Copyright Fedor Indutny, 2018. + +Permission is hereby granted, free of charge, to any person obtaining a +copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to permit +persons to whom the Software is furnished to do so, subject to the +following conditions: + +The above copyright notice and this permission notice shall be included +in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/top_level.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee4ba4f3d739e094878215c84eb41ba85c80e4a8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp-3.13.3.dist-info/top_level.txt @@ -0,0 +1 @@ +aiohttp diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/.hash/_cparser.pxd.hash 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+dab8f933203eeb245d60f856e542a45b888d5a110094620e4811f90f816628d1 /home/runner/work/aiohttp/aiohttp/aiohttp/hdrs.py diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..357baf019de77a08af52b18334cffcc9f078390a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/__init__.py @@ -0,0 +1,278 @@ +__version__ = "3.13.3" + +from typing import TYPE_CHECKING, Tuple + +from . import hdrs as hdrs +from .client import ( + BaseConnector, + ClientConnectionError, + ClientConnectionResetError, + ClientConnectorCertificateError, + ClientConnectorDNSError, + ClientConnectorError, + ClientConnectorSSLError, + ClientError, + ClientHttpProxyError, + ClientOSError, + ClientPayloadError, + ClientProxyConnectionError, + ClientRequest, + ClientResponse, + ClientResponseError, + ClientSession, + ClientSSLError, + ClientTimeout, + ClientWebSocketResponse, + ClientWSTimeout, + ConnectionTimeoutError, + ContentTypeError, + Fingerprint, + InvalidURL, + InvalidUrlClientError, + InvalidUrlRedirectClientError, + NamedPipeConnector, + NonHttpUrlClientError, + NonHttpUrlRedirectClientError, + RedirectClientError, + RequestInfo, + ServerConnectionError, + ServerDisconnectedError, + ServerFingerprintMismatch, + ServerTimeoutError, + SocketTimeoutError, + TCPConnector, + TooManyRedirects, + UnixConnector, + WSMessageTypeError, + WSServerHandshakeError, + request, +) +from .client_middleware_digest_auth import DigestAuthMiddleware +from .client_middlewares import ClientHandlerType, ClientMiddlewareType +from .compression_utils import set_zlib_backend +from .connector import ( + AddrInfoType as AddrInfoType, + SocketFactoryType as SocketFactoryType, +) +from .cookiejar import CookieJar as CookieJar, DummyCookieJar as DummyCookieJar +from .formdata import FormData as FormData +from .helpers import BasicAuth, ChainMapProxy, ETag +from .http import ( + HttpVersion as HttpVersion, + HttpVersion10 as HttpVersion10, + HttpVersion11 as HttpVersion11, + WebSocketError as WebSocketError, + WSCloseCode as WSCloseCode, + WSMessage as WSMessage, + WSMsgType as WSMsgType, +) +from .multipart import ( + BadContentDispositionHeader as BadContentDispositionHeader, + BadContentDispositionParam as BadContentDispositionParam, + BodyPartReader as BodyPartReader, + MultipartReader as MultipartReader, + MultipartWriter as MultipartWriter, + content_disposition_filename as content_disposition_filename, + parse_content_disposition as parse_content_disposition, +) +from .payload import ( + PAYLOAD_REGISTRY as PAYLOAD_REGISTRY, + AsyncIterablePayload as AsyncIterablePayload, + BufferedReaderPayload as BufferedReaderPayload, + BytesIOPayload as BytesIOPayload, + BytesPayload as BytesPayload, + IOBasePayload as IOBasePayload, + JsonPayload as JsonPayload, + Payload as Payload, + StringIOPayload as StringIOPayload, + StringPayload as StringPayload, + TextIOPayload as TextIOPayload, + get_payload as get_payload, + payload_type as payload_type, +) +from .payload_streamer import streamer as streamer +from .resolver import ( + AsyncResolver as AsyncResolver, + DefaultResolver as DefaultResolver, + ThreadedResolver as ThreadedResolver, +) +from .streams import ( + EMPTY_PAYLOAD as EMPTY_PAYLOAD, + DataQueue as DataQueue, + EofStream as EofStream, + FlowControlDataQueue as FlowControlDataQueue, + StreamReader as StreamReader, +) +from .tracing import ( + TraceConfig as TraceConfig, + TraceConnectionCreateEndParams as TraceConnectionCreateEndParams, + TraceConnectionCreateStartParams as TraceConnectionCreateStartParams, + TraceConnectionQueuedEndParams as TraceConnectionQueuedEndParams, + TraceConnectionQueuedStartParams as TraceConnectionQueuedStartParams, + TraceConnectionReuseconnParams as TraceConnectionReuseconnParams, + TraceDnsCacheHitParams as TraceDnsCacheHitParams, + TraceDnsCacheMissParams as TraceDnsCacheMissParams, + TraceDnsResolveHostEndParams as TraceDnsResolveHostEndParams, + TraceDnsResolveHostStartParams as TraceDnsResolveHostStartParams, + TraceRequestChunkSentParams as TraceRequestChunkSentParams, + TraceRequestEndParams as TraceRequestEndParams, + TraceRequestExceptionParams as TraceRequestExceptionParams, + TraceRequestHeadersSentParams as TraceRequestHeadersSentParams, + TraceRequestRedirectParams as TraceRequestRedirectParams, + TraceRequestStartParams as TraceRequestStartParams, + TraceResponseChunkReceivedParams as TraceResponseChunkReceivedParams, +) + +if TYPE_CHECKING: + # At runtime these are lazy-loaded at the bottom of the file. + from .worker import ( + GunicornUVLoopWebWorker as GunicornUVLoopWebWorker, + GunicornWebWorker as GunicornWebWorker, + ) + +__all__: Tuple[str, ...] = ( + "hdrs", + # client + "AddrInfoType", + "BaseConnector", + "ClientConnectionError", + "ClientConnectionResetError", + "ClientConnectorCertificateError", + "ClientConnectorDNSError", + "ClientConnectorError", + "ClientConnectorSSLError", + "ClientError", + "ClientHttpProxyError", + "ClientOSError", + "ClientPayloadError", + "ClientProxyConnectionError", + "ClientResponse", + "ClientRequest", + "ClientResponseError", + "ClientSSLError", + "ClientSession", + "ClientTimeout", + "ClientWebSocketResponse", + "ClientWSTimeout", + "ConnectionTimeoutError", + "ContentTypeError", + "Fingerprint", + "FlowControlDataQueue", + "InvalidURL", + "InvalidUrlClientError", + "InvalidUrlRedirectClientError", + "NonHttpUrlClientError", + "NonHttpUrlRedirectClientError", + "RedirectClientError", + "RequestInfo", + "ServerConnectionError", + "ServerDisconnectedError", + "ServerFingerprintMismatch", + "ServerTimeoutError", + "SocketFactoryType", + "SocketTimeoutError", + "TCPConnector", + "TooManyRedirects", + "UnixConnector", + "NamedPipeConnector", + "WSServerHandshakeError", + "request", + # client_middleware + "ClientMiddlewareType", + "ClientHandlerType", + # cookiejar + "CookieJar", + "DummyCookieJar", + # formdata + "FormData", + # helpers + "BasicAuth", + "ChainMapProxy", + "DigestAuthMiddleware", + "ETag", + "set_zlib_backend", + # http + "HttpVersion", + "HttpVersion10", + "HttpVersion11", + "WSMsgType", + "WSCloseCode", + "WSMessage", + "WebSocketError", + # multipart + "BadContentDispositionHeader", + "BadContentDispositionParam", + "BodyPartReader", + "MultipartReader", + "MultipartWriter", + "content_disposition_filename", + "parse_content_disposition", + # payload + "AsyncIterablePayload", + "BufferedReaderPayload", + "BytesIOPayload", + "BytesPayload", + "IOBasePayload", + "JsonPayload", + "PAYLOAD_REGISTRY", + "Payload", + "StringIOPayload", + "StringPayload", + "TextIOPayload", + "get_payload", + "payload_type", + # payload_streamer + "streamer", + # resolver + "AsyncResolver", + "DefaultResolver", + "ThreadedResolver", + # streams + "DataQueue", + "EMPTY_PAYLOAD", + "EofStream", + "StreamReader", + # tracing + "TraceConfig", + "TraceConnectionCreateEndParams", + "TraceConnectionCreateStartParams", + "TraceConnectionQueuedEndParams", + "TraceConnectionQueuedStartParams", + "TraceConnectionReuseconnParams", + "TraceDnsCacheHitParams", + "TraceDnsCacheMissParams", + "TraceDnsResolveHostEndParams", + "TraceDnsResolveHostStartParams", + "TraceRequestChunkSentParams", + "TraceRequestEndParams", + "TraceRequestExceptionParams", + "TraceRequestHeadersSentParams", + "TraceRequestRedirectParams", + "TraceRequestStartParams", + "TraceResponseChunkReceivedParams", + # workers (imported lazily with __getattr__) + "GunicornUVLoopWebWorker", + "GunicornWebWorker", + "WSMessageTypeError", +) + + +def __dir__() -> Tuple[str, ...]: + return __all__ + ("__doc__",) + + +def __getattr__(name: str) -> object: + global GunicornUVLoopWebWorker, GunicornWebWorker + + # Importing gunicorn takes a long time (>100ms), so only import if actually needed. + if name in ("GunicornUVLoopWebWorker", "GunicornWebWorker"): + try: + from .worker import GunicornUVLoopWebWorker as guv, GunicornWebWorker as gw + except ImportError: + return None + + GunicornUVLoopWebWorker = guv # type: ignore[misc] + GunicornWebWorker = gw # type: ignore[misc] + return guv if name == "GunicornUVLoopWebWorker" else gw + + raise AttributeError(f"module {__name__} has no attribute {name}") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_cookie_helpers.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_cookie_helpers.py new file mode 100644 index 0000000000000000000000000000000000000000..10e2e0eff9de9d28ecbfe511a1227a1fec1d83cd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_cookie_helpers.py @@ -0,0 +1,338 @@ +""" +Internal cookie handling helpers. + +This module contains internal utilities for cookie parsing and manipulation. +These are not part of the public API and may change without notice. +""" + +import re +from http.cookies import Morsel +from typing import List, Optional, Sequence, Tuple, cast + +from .log import internal_logger + +__all__ = ( + "parse_set_cookie_headers", + "parse_cookie_header", + "preserve_morsel_with_coded_value", +) + +# Cookie parsing constants +# Allow more characters in cookie names to handle real-world cookies +# that don't strictly follow RFC standards (fixes #2683) +# RFC 6265 defines cookie-name token as per RFC 2616 Section 2.2, +# but many servers send cookies with characters like {} [] () etc. +# This makes the cookie parser more tolerant of real-world cookies +# while still providing some validation to catch obviously malformed names. +_COOKIE_NAME_RE = re.compile(r"^[!#$%&\'()*+\-./0-9:<=>?@A-Z\[\]^_`a-z{|}~]+$") +_COOKIE_KNOWN_ATTRS = frozenset( # AKA Morsel._reserved + ( + "path", + "domain", + "max-age", + "expires", + "secure", + "httponly", + "samesite", + "partitioned", + "version", + "comment", + ) +) +_COOKIE_BOOL_ATTRS = frozenset( # AKA Morsel._flags + ("secure", "httponly", "partitioned") +) + +# SimpleCookie's pattern for parsing cookies with relaxed validation +# Based on http.cookies pattern but extended to allow more characters in cookie names +# to handle real-world cookies (fixes #2683) +_COOKIE_PATTERN = re.compile( + r""" + \s* # Optional whitespace at start of cookie + (?P # Start of group 'key' + # aiohttp has extended to include [] for compatibility with real-world cookies + [\w\d!#%&'~_`><@,:/\$\*\+\-\.\^\|\)\(\?\}\{\[\]]+ # Any word of at least one letter + ) # End of group 'key' + ( # Optional group: there may not be a value. + \s*=\s* # Equal Sign + (?P # Start of group 'val' + "(?:[^\\"]|\\.)*" # Any double-quoted string (properly closed) + | # or + "[^";]* # Unmatched opening quote (differs from SimpleCookie - issue #7993) + | # or + # Special case for "expires" attr - RFC 822, RFC 850, RFC 1036, RFC 1123 + (\w{3,6}day|\w{3}),\s # Day of the week or abbreviated day (with comma) + [\w\d\s-]{9,11}\s[\d:]{8}\s # Date and time in specific format + (GMT|[+-]\d{4}) # Timezone: GMT or RFC 2822 offset like -0000, +0100 + # NOTE: RFC 2822 timezone support is an aiohttp extension + # for issue #4493 - SimpleCookie does NOT support this + | # or + # ANSI C asctime() format: "Wed Jun 9 10:18:14 2021" + # NOTE: This is an aiohttp extension for issue #4327 - SimpleCookie does NOT support this format + \w{3}\s+\w{3}\s+[\s\d]\d\s+\d{2}:\d{2}:\d{2}\s+\d{4} + | # or + [\w\d!#%&'~_`><@,:/\$\*\+\-\.\^\|\)\(\?\}\{\=\[\]]* # Any word or empty string + ) # End of group 'val' + )? # End of optional value group + \s* # Any number of spaces. + (\s+|;|$) # Ending either at space, semicolon, or EOS. + """, + re.VERBOSE | re.ASCII, +) + + +def preserve_morsel_with_coded_value(cookie: Morsel[str]) -> Morsel[str]: + """ + Preserve a Morsel's coded_value exactly as received from the server. + + This function ensures that cookie encoding is preserved exactly as sent by + the server, which is critical for compatibility with old servers that have + strict requirements about cookie formats. + + This addresses the issue described in https://github.com/aio-libs/aiohttp/pull/1453 + where Python's SimpleCookie would re-encode cookies, breaking authentication + with certain servers. + + Args: + cookie: A Morsel object from SimpleCookie + + Returns: + A Morsel object with preserved coded_value + + """ + mrsl_val = cast("Morsel[str]", cookie.get(cookie.key, Morsel())) + # We use __setstate__ instead of the public set() API because it allows us to + # bypass validation and set already validated state. This is more stable than + # setting protected attributes directly and unlikely to change since it would + # break pickling. + mrsl_val.__setstate__( # type: ignore[attr-defined] + {"key": cookie.key, "value": cookie.value, "coded_value": cookie.coded_value} + ) + return mrsl_val + + +_unquote_sub = re.compile(r"\\(?:([0-3][0-7][0-7])|(.))").sub + + +def _unquote_replace(m: re.Match[str]) -> str: + """ + Replace function for _unquote_sub regex substitution. + + Handles escaped characters in cookie values: + - Octal sequences are converted to their character representation + - Other escaped characters are unescaped by removing the backslash + """ + if m[1]: + return chr(int(m[1], 8)) + return m[2] + + +def _unquote(value: str) -> str: + """ + Unquote a cookie value. + + Vendored from http.cookies._unquote to ensure compatibility. + + Note: The original implementation checked for None, but we've removed + that check since all callers already ensure the value is not None. + """ + # If there aren't any doublequotes, + # then there can't be any special characters. See RFC 2109. + if len(value) < 2: + return value + if value[0] != '"' or value[-1] != '"': + return value + + # We have to assume that we must decode this string. + # Down to work. + + # Remove the "s + value = value[1:-1] + + # Check for special sequences. Examples: + # \012 --> \n + # \" --> " + # + return _unquote_sub(_unquote_replace, value) + + +def parse_cookie_header(header: str) -> List[Tuple[str, Morsel[str]]]: + """ + Parse a Cookie header according to RFC 6265 Section 5.4. + + Cookie headers contain only name-value pairs separated by semicolons. + There are no attributes in Cookie headers - even names that match + attribute names (like 'path' or 'secure') should be treated as cookies. + + This parser uses the same regex-based approach as parse_set_cookie_headers + to properly handle quoted values that may contain semicolons. When the + regex fails to match a malformed cookie, it falls back to simple parsing + to ensure subsequent cookies are not lost + https://github.com/aio-libs/aiohttp/issues/11632 + + Args: + header: The Cookie header value to parse + + Returns: + List of (name, Morsel) tuples for compatibility with SimpleCookie.update() + """ + if not header: + return [] + + cookies: List[Tuple[str, Morsel[str]]] = [] + morsel: Morsel[str] + i = 0 + n = len(header) + + invalid_names = [] + while i < n: + # Use the same pattern as parse_set_cookie_headers to find cookies + match = _COOKIE_PATTERN.match(header, i) + if not match: + # Fallback for malformed cookies https://github.com/aio-libs/aiohttp/issues/11632 + # Find next semicolon to skip or attempt simple key=value parsing + next_semi = header.find(";", i) + eq_pos = header.find("=", i) + + # Try to extract key=value if '=' comes before ';' + if eq_pos != -1 and (next_semi == -1 or eq_pos < next_semi): + end_pos = next_semi if next_semi != -1 else n + key = header[i:eq_pos].strip() + value = header[eq_pos + 1 : end_pos].strip() + + # Validate the name (same as regex path) + if not _COOKIE_NAME_RE.match(key): + invalid_names.append(key) + else: + morsel = Morsel() + morsel.__setstate__( # type: ignore[attr-defined] + {"key": key, "value": _unquote(value), "coded_value": value} + ) + cookies.append((key, morsel)) + + # Move to next cookie or end + i = next_semi + 1 if next_semi != -1 else n + continue + + key = match.group("key") + value = match.group("val") or "" + i = match.end(0) + + # Validate the name + if not key or not _COOKIE_NAME_RE.match(key): + invalid_names.append(key) + continue + + # Create new morsel + morsel = Morsel() + # Preserve the original value as coded_value (with quotes if present) + # We use __setstate__ instead of the public set() API because it allows us to + # bypass validation and set already validated state. This is more stable than + # setting protected attributes directly and unlikely to change since it would + # break pickling. + morsel.__setstate__( # type: ignore[attr-defined] + {"key": key, "value": _unquote(value), "coded_value": value} + ) + + cookies.append((key, morsel)) + + if invalid_names: + internal_logger.debug( + "Cannot load cookie. Illegal cookie names: %r", invalid_names + ) + + return cookies + + +def parse_set_cookie_headers(headers: Sequence[str]) -> List[Tuple[str, Morsel[str]]]: + """ + Parse cookie headers using a vendored version of SimpleCookie parsing. + + This implementation is based on SimpleCookie.__parse_string to ensure + compatibility with how SimpleCookie parses cookies, including handling + of malformed cookies with missing semicolons. + + This function is used for both Cookie and Set-Cookie headers in order to be + forgiving. Ideally we would have followed RFC 6265 Section 5.2 (for Cookie + headers) and RFC 6265 Section 4.2.1 (for Set-Cookie headers), but the + real world data makes it impossible since we need to be a bit more forgiving. + + NOTE: This implementation differs from SimpleCookie in handling unmatched quotes. + SimpleCookie will stop parsing when it encounters a cookie value with an unmatched + quote (e.g., 'cookie="value'), causing subsequent cookies to be silently dropped. + This implementation handles unmatched quotes more gracefully to prevent cookie loss. + See https://github.com/aio-libs/aiohttp/issues/7993 + """ + parsed_cookies: List[Tuple[str, Morsel[str]]] = [] + + for header in headers: + if not header: + continue + + # Parse cookie string using SimpleCookie's algorithm + i = 0 + n = len(header) + current_morsel: Optional[Morsel[str]] = None + morsel_seen = False + + while 0 <= i < n: + # Start looking for a cookie + match = _COOKIE_PATTERN.match(header, i) + if not match: + # No more cookies + break + + key, value = match.group("key"), match.group("val") + i = match.end(0) + lower_key = key.lower() + + if key[0] == "$": + if not morsel_seen: + # We ignore attributes which pertain to the cookie + # mechanism as a whole, such as "$Version". + continue + # Process as attribute + if current_morsel is not None: + attr_lower_key = lower_key[1:] + if attr_lower_key in _COOKIE_KNOWN_ATTRS: + current_morsel[attr_lower_key] = value or "" + elif lower_key in _COOKIE_KNOWN_ATTRS: + if not morsel_seen: + # Invalid cookie string - attribute before cookie + break + if lower_key in _COOKIE_BOOL_ATTRS: + # Boolean attribute with any value should be True + if current_morsel is not None and current_morsel.isReservedKey(key): + current_morsel[lower_key] = True + elif value is None: + # Invalid cookie string - non-boolean attribute without value + break + elif current_morsel is not None: + # Regular attribute with value + current_morsel[lower_key] = _unquote(value) + elif value is not None: + # This is a cookie name=value pair + # Validate the name + if key in _COOKIE_KNOWN_ATTRS or not _COOKIE_NAME_RE.match(key): + internal_logger.warning( + "Can not load cookies: Illegal cookie name %r", key + ) + current_morsel = None + else: + # Create new morsel + current_morsel = Morsel() + # Preserve the original value as coded_value (with quotes if present) + # We use __setstate__ instead of the public set() API because it allows us to + # bypass validation and set already validated state. This is more stable than + # setting protected attributes directly and unlikely to change since it would + # break pickling. + current_morsel.__setstate__( # type: ignore[attr-defined] + {"key": key, "value": _unquote(value), "coded_value": value} + ) + parsed_cookies.append((key, current_morsel)) + morsel_seen = True + else: + # Invalid cookie string - no value for non-attribute + break + + return parsed_cookies diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_cparser.pxd b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_cparser.pxd new file mode 100644 index 0000000000000000000000000000000000000000..1b3be6d4efb682bca9397da34f8e727b381bc84f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_cparser.pxd @@ -0,0 +1,158 @@ +from libc.stdint cimport int32_t, uint8_t, uint16_t, uint64_t + + +cdef extern from "llhttp.h": + + struct llhttp__internal_s: + int32_t _index + void* _span_pos0 + void* _span_cb0 + int32_t error + const char* reason + const char* error_pos + void* data + void* _current + uint64_t content_length + uint8_t type + uint8_t method + uint8_t http_major + uint8_t http_minor + uint8_t header_state + uint8_t lenient_flags + uint8_t upgrade + uint8_t finish + uint16_t flags + uint16_t status_code + void* settings + + ctypedef llhttp__internal_s llhttp__internal_t + ctypedef llhttp__internal_t llhttp_t + + ctypedef int (*llhttp_data_cb)(llhttp_t*, const char *at, size_t length) except -1 + ctypedef int (*llhttp_cb)(llhttp_t*) except -1 + + struct llhttp_settings_s: + llhttp_cb on_message_begin + llhttp_data_cb on_url + llhttp_data_cb on_status + llhttp_data_cb on_header_field + llhttp_data_cb on_header_value + llhttp_cb on_headers_complete + llhttp_data_cb on_body + llhttp_cb on_message_complete + llhttp_cb on_chunk_header + llhttp_cb on_chunk_complete + + llhttp_cb on_url_complete + llhttp_cb on_status_complete + llhttp_cb on_header_field_complete + llhttp_cb on_header_value_complete + + ctypedef llhttp_settings_s llhttp_settings_t + + enum llhttp_errno: + HPE_OK, + HPE_INTERNAL, + HPE_STRICT, + HPE_LF_EXPECTED, + HPE_UNEXPECTED_CONTENT_LENGTH, + HPE_CLOSED_CONNECTION, + HPE_INVALID_METHOD, + HPE_INVALID_URL, + HPE_INVALID_CONSTANT, + HPE_INVALID_VERSION, + HPE_INVALID_HEADER_TOKEN, + HPE_INVALID_CONTENT_LENGTH, + HPE_INVALID_CHUNK_SIZE, + HPE_INVALID_STATUS, + HPE_INVALID_EOF_STATE, + HPE_INVALID_TRANSFER_ENCODING, + HPE_CB_MESSAGE_BEGIN, + HPE_CB_HEADERS_COMPLETE, + HPE_CB_MESSAGE_COMPLETE, + HPE_CB_CHUNK_HEADER, + HPE_CB_CHUNK_COMPLETE, + HPE_PAUSED, + HPE_PAUSED_UPGRADE, + HPE_USER + + ctypedef llhttp_errno llhttp_errno_t + + enum llhttp_flags: + F_CHUNKED, + F_CONTENT_LENGTH + + enum llhttp_type: + HTTP_REQUEST, + HTTP_RESPONSE, + HTTP_BOTH + + enum llhttp_method: + HTTP_DELETE, + HTTP_GET, + HTTP_HEAD, + HTTP_POST, + HTTP_PUT, + HTTP_CONNECT, + HTTP_OPTIONS, + HTTP_TRACE, + HTTP_COPY, + HTTP_LOCK, + HTTP_MKCOL, + HTTP_MOVE, + HTTP_PROPFIND, + HTTP_PROPPATCH, + HTTP_SEARCH, + HTTP_UNLOCK, + HTTP_BIND, + HTTP_REBIND, + HTTP_UNBIND, + HTTP_ACL, + HTTP_REPORT, + HTTP_MKACTIVITY, + HTTP_CHECKOUT, + HTTP_MERGE, + HTTP_MSEARCH, + HTTP_NOTIFY, + HTTP_SUBSCRIBE, + HTTP_UNSUBSCRIBE, + HTTP_PATCH, + HTTP_PURGE, + HTTP_MKCALENDAR, + HTTP_LINK, + HTTP_UNLINK, + HTTP_SOURCE, + HTTP_PRI, + HTTP_DESCRIBE, + HTTP_ANNOUNCE, + HTTP_SETUP, + HTTP_PLAY, + HTTP_PAUSE, + HTTP_TEARDOWN, + HTTP_GET_PARAMETER, + HTTP_SET_PARAMETER, + HTTP_REDIRECT, + HTTP_RECORD, + HTTP_FLUSH + + ctypedef llhttp_method llhttp_method_t; + + void llhttp_settings_init(llhttp_settings_t* settings) + void llhttp_init(llhttp_t* parser, llhttp_type type, + const llhttp_settings_t* settings) + + llhttp_errno_t llhttp_execute(llhttp_t* parser, const char* data, size_t len) + + int llhttp_should_keep_alive(const llhttp_t* parser) + + void llhttp_resume_after_upgrade(llhttp_t* parser) + + llhttp_errno_t llhttp_get_errno(const llhttp_t* parser) + const char* llhttp_get_error_reason(const llhttp_t* parser) + const char* llhttp_get_error_pos(const llhttp_t* parser) + + const char* llhttp_method_name(llhttp_method_t method) + + void llhttp_set_lenient_headers(llhttp_t* parser, int enabled) + void llhttp_set_lenient_optional_cr_before_lf(llhttp_t* parser, int enabled) + void llhttp_set_lenient_spaces_after_chunk_size(llhttp_t* parser, int enabled) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_find_header.pxd b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_find_header.pxd new file mode 100644 index 0000000000000000000000000000000000000000..37a6c37268ee30b182fd77d109688d35d5577c7f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_find_header.pxd @@ -0,0 +1,2 @@ +cdef extern from "_find_header.h": + int find_header(char *, int) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_headers.pxi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_headers.pxi new file mode 100644 index 0000000000000000000000000000000000000000..3744721d4786a6c79b90aa349c8d02fa66204ecc --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_headers.pxi @@ -0,0 +1,83 @@ +# The file is autogenerated from aiohttp/hdrs.py +# Run ./tools/gen.py to update it after the origin changing. + +from . import hdrs +cdef tuple headers = ( + hdrs.ACCEPT, + hdrs.ACCEPT_CHARSET, + hdrs.ACCEPT_ENCODING, + hdrs.ACCEPT_LANGUAGE, + hdrs.ACCEPT_RANGES, + hdrs.ACCESS_CONTROL_ALLOW_CREDENTIALS, + hdrs.ACCESS_CONTROL_ALLOW_HEADERS, + hdrs.ACCESS_CONTROL_ALLOW_METHODS, + hdrs.ACCESS_CONTROL_ALLOW_ORIGIN, + hdrs.ACCESS_CONTROL_EXPOSE_HEADERS, + hdrs.ACCESS_CONTROL_MAX_AGE, + hdrs.ACCESS_CONTROL_REQUEST_HEADERS, + hdrs.ACCESS_CONTROL_REQUEST_METHOD, + hdrs.AGE, + hdrs.ALLOW, + hdrs.AUTHORIZATION, + hdrs.CACHE_CONTROL, + hdrs.CONNECTION, + hdrs.CONTENT_DISPOSITION, + hdrs.CONTENT_ENCODING, + hdrs.CONTENT_LANGUAGE, + hdrs.CONTENT_LENGTH, + hdrs.CONTENT_LOCATION, + hdrs.CONTENT_MD5, + hdrs.CONTENT_RANGE, + hdrs.CONTENT_TRANSFER_ENCODING, + hdrs.CONTENT_TYPE, + hdrs.COOKIE, + hdrs.DATE, + hdrs.DESTINATION, + hdrs.DIGEST, + hdrs.ETAG, + hdrs.EXPECT, + hdrs.EXPIRES, + hdrs.FORWARDED, + hdrs.FROM, + hdrs.HOST, + hdrs.IF_MATCH, + hdrs.IF_MODIFIED_SINCE, + hdrs.IF_NONE_MATCH, + hdrs.IF_RANGE, + hdrs.IF_UNMODIFIED_SINCE, + hdrs.KEEP_ALIVE, + hdrs.LAST_EVENT_ID, + hdrs.LAST_MODIFIED, + hdrs.LINK, + hdrs.LOCATION, + hdrs.MAX_FORWARDS, + hdrs.ORIGIN, + hdrs.PRAGMA, + hdrs.PROXY_AUTHENTICATE, + hdrs.PROXY_AUTHORIZATION, + hdrs.RANGE, + hdrs.REFERER, + hdrs.RETRY_AFTER, + hdrs.SEC_WEBSOCKET_ACCEPT, + hdrs.SEC_WEBSOCKET_EXTENSIONS, + hdrs.SEC_WEBSOCKET_KEY, + hdrs.SEC_WEBSOCKET_KEY1, + hdrs.SEC_WEBSOCKET_PROTOCOL, + hdrs.SEC_WEBSOCKET_VERSION, + hdrs.SERVER, + hdrs.SET_COOKIE, + hdrs.TE, + hdrs.TRAILER, + hdrs.TRANSFER_ENCODING, + hdrs.URI, + hdrs.UPGRADE, + hdrs.USER_AGENT, + hdrs.VARY, + hdrs.VIA, + hdrs.WWW_AUTHENTICATE, + hdrs.WANT_DIGEST, + hdrs.WARNING, + hdrs.X_FORWARDED_FOR, + hdrs.X_FORWARDED_HOST, + hdrs.X_FORWARDED_PROTO, +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_parser.cpython-310-x86_64-linux-gnu.so b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_parser.cpython-310-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..b4a842e2ced30d6cdac2a7b42fdcc1b9d0c775ed --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_parser.cpython-310-x86_64-linux-gnu.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7a1e81be733ff513bbb6edbe0d7bfbda87627bc8c672edee03c4f1cf36295362 +size 2640560 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_parser.pyx b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_parser.pyx new file mode 100644 index 0000000000000000000000000000000000000000..4a7101edbcb1a7f938f8356775bc73ceca8fadf3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_parser.pyx @@ -0,0 +1,835 @@ +# Based on https://github.com/MagicStack/httptools +# + +from cpython cimport ( + Py_buffer, + PyBUF_SIMPLE, + PyBuffer_Release, + PyBytes_AsString, + PyBytes_AsStringAndSize, + PyObject_GetBuffer, +) +from cpython.mem cimport PyMem_Free, PyMem_Malloc +from libc.limits cimport ULLONG_MAX +from libc.string cimport memcpy + +from multidict import CIMultiDict as _CIMultiDict, CIMultiDictProxy as _CIMultiDictProxy +from yarl import URL as _URL + +from aiohttp import hdrs +from aiohttp.helpers import DEBUG, set_exception + +from .http_exceptions import ( + BadHttpMessage, + BadHttpMethod, + BadStatusLine, + ContentLengthError, + InvalidHeader, + InvalidURLError, + LineTooLong, + PayloadEncodingError, + TransferEncodingError, +) +from .http_parser import DeflateBuffer as _DeflateBuffer +from .http_writer import ( + HttpVersion as _HttpVersion, + HttpVersion10 as _HttpVersion10, + HttpVersion11 as _HttpVersion11, +) +from .streams import EMPTY_PAYLOAD as _EMPTY_PAYLOAD, StreamReader as _StreamReader + +cimport cython + +from aiohttp cimport _cparser as cparser + +include "_headers.pxi" + +from aiohttp cimport _find_header + +ALLOWED_UPGRADES = frozenset({"websocket"}) +DEF DEFAULT_FREELIST_SIZE = 250 + +cdef extern from "Python.h": + int PyByteArray_Resize(object, Py_ssize_t) except -1 + Py_ssize_t PyByteArray_Size(object) except -1 + char* PyByteArray_AsString(object) + +__all__ = ('HttpRequestParser', 'HttpResponseParser', + 'RawRequestMessage', 'RawResponseMessage') + +cdef object URL = _URL +cdef object URL_build = URL.build +cdef object CIMultiDict = _CIMultiDict +cdef object CIMultiDictProxy = _CIMultiDictProxy +cdef object HttpVersion = _HttpVersion +cdef object HttpVersion10 = _HttpVersion10 +cdef object HttpVersion11 = _HttpVersion11 +cdef object SEC_WEBSOCKET_KEY1 = hdrs.SEC_WEBSOCKET_KEY1 +cdef object CONTENT_ENCODING = hdrs.CONTENT_ENCODING +cdef object EMPTY_PAYLOAD = _EMPTY_PAYLOAD +cdef object StreamReader = _StreamReader +cdef object DeflateBuffer = _DeflateBuffer +cdef bytes EMPTY_BYTES = b"" + +cdef inline object extend(object buf, const char* at, size_t length): + cdef Py_ssize_t s + cdef char* ptr + s = PyByteArray_Size(buf) + PyByteArray_Resize(buf, s + length) + ptr = PyByteArray_AsString(buf) + memcpy(ptr + s, at, length) + + +DEF METHODS_COUNT = 46; + +cdef list _http_method = [] + +for i in range(METHODS_COUNT): + _http_method.append( + cparser.llhttp_method_name( i).decode('ascii')) + + +cdef inline str http_method_str(int i): + if i < METHODS_COUNT: + return _http_method[i] + else: + return "" + +cdef inline object find_header(bytes raw_header): + cdef Py_ssize_t size + cdef char *buf + cdef int idx + PyBytes_AsStringAndSize(raw_header, &buf, &size) + idx = _find_header.find_header(buf, size) + if idx == -1: + return raw_header.decode('utf-8', 'surrogateescape') + return headers[idx] + + +@cython.freelist(DEFAULT_FREELIST_SIZE) +cdef class RawRequestMessage: + cdef readonly str method + cdef readonly str path + cdef readonly object version # HttpVersion + cdef readonly object headers # CIMultiDict + cdef readonly object raw_headers # tuple + cdef readonly object should_close + cdef readonly object compression + cdef readonly object upgrade + cdef readonly object chunked + cdef readonly object url # yarl.URL + + def __init__(self, method, path, version, headers, raw_headers, + should_close, compression, upgrade, chunked, url): + self.method = method + self.path = path + self.version = version + self.headers = headers + self.raw_headers = raw_headers + self.should_close = should_close + self.compression = compression + self.upgrade = upgrade + self.chunked = chunked + self.url = url + + def __repr__(self): + info = [] + info.append(("method", self.method)) + info.append(("path", self.path)) + info.append(("version", self.version)) + info.append(("headers", self.headers)) + info.append(("raw_headers", self.raw_headers)) + info.append(("should_close", self.should_close)) + info.append(("compression", self.compression)) + info.append(("upgrade", self.upgrade)) + info.append(("chunked", self.chunked)) + info.append(("url", self.url)) + sinfo = ', '.join(name + '=' + repr(val) for name, val in info) + return '' + + def _replace(self, **dct): + cdef RawRequestMessage ret + ret = _new_request_message(self.method, + self.path, + self.version, + self.headers, + self.raw_headers, + self.should_close, + self.compression, + self.upgrade, + self.chunked, + self.url) + if "method" in dct: + ret.method = dct["method"] + if "path" in dct: + ret.path = dct["path"] + if "version" in dct: + ret.version = dct["version"] + if "headers" in dct: + ret.headers = dct["headers"] + if "raw_headers" in dct: + ret.raw_headers = dct["raw_headers"] + if "should_close" in dct: + ret.should_close = dct["should_close"] + if "compression" in dct: + ret.compression = dct["compression"] + if "upgrade" in dct: + ret.upgrade = dct["upgrade"] + if "chunked" in dct: + ret.chunked = dct["chunked"] + if "url" in dct: + ret.url = dct["url"] + return ret + +cdef _new_request_message(str method, + str path, + object version, + object headers, + object raw_headers, + bint should_close, + object compression, + bint upgrade, + bint chunked, + object url): + cdef RawRequestMessage ret + ret = RawRequestMessage.__new__(RawRequestMessage) + ret.method = method + ret.path = path + ret.version = version + ret.headers = headers + ret.raw_headers = raw_headers + ret.should_close = should_close + ret.compression = compression + ret.upgrade = upgrade + ret.chunked = chunked + ret.url = url + return ret + + +@cython.freelist(DEFAULT_FREELIST_SIZE) +cdef class RawResponseMessage: + cdef readonly object version # HttpVersion + cdef readonly int code + cdef readonly str reason + cdef readonly object headers # CIMultiDict + cdef readonly object raw_headers # tuple + cdef readonly object should_close + cdef readonly object compression + cdef readonly object upgrade + cdef readonly object chunked + + def __init__(self, version, code, reason, headers, raw_headers, + should_close, compression, upgrade, chunked): + self.version = version + self.code = code + self.reason = reason + self.headers = headers + self.raw_headers = raw_headers + self.should_close = should_close + self.compression = compression + self.upgrade = upgrade + self.chunked = chunked + + def __repr__(self): + info = [] + info.append(("version", self.version)) + info.append(("code", self.code)) + info.append(("reason", self.reason)) + info.append(("headers", self.headers)) + info.append(("raw_headers", self.raw_headers)) + info.append(("should_close", self.should_close)) + info.append(("compression", self.compression)) + info.append(("upgrade", self.upgrade)) + info.append(("chunked", self.chunked)) + sinfo = ', '.join(name + '=' + repr(val) for name, val in info) + return '' + + +cdef _new_response_message(object version, + int code, + str reason, + object headers, + object raw_headers, + bint should_close, + object compression, + bint upgrade, + bint chunked): + cdef RawResponseMessage ret + ret = RawResponseMessage.__new__(RawResponseMessage) + ret.version = version + ret.code = code + ret.reason = reason + ret.headers = headers + ret.raw_headers = raw_headers + ret.should_close = should_close + ret.compression = compression + ret.upgrade = upgrade + ret.chunked = chunked + return ret + + +@cython.internal +cdef class HttpParser: + + cdef: + cparser.llhttp_t* _cparser + cparser.llhttp_settings_t* _csettings + + bytes _raw_name + object _name + bytes _raw_value + bint _has_value + + object _protocol + object _loop + object _timer + + size_t _max_line_size + size_t _max_field_size + size_t _max_headers + bint _response_with_body + bint _read_until_eof + + bint _started + object _url + bytearray _buf + str _path + str _reason + list _headers + list _raw_headers + bint _upgraded + list _messages + object _payload + bint _payload_error + object _payload_exception + object _last_error + bint _auto_decompress + int _limit + + str _content_encoding + + Py_buffer py_buf + + def __cinit__(self): + self._cparser = \ + PyMem_Malloc(sizeof(cparser.llhttp_t)) + if self._cparser is NULL: + raise MemoryError() + + self._csettings = \ + PyMem_Malloc(sizeof(cparser.llhttp_settings_t)) + if self._csettings is NULL: + raise MemoryError() + + def __dealloc__(self): + PyMem_Free(self._cparser) + PyMem_Free(self._csettings) + + cdef _init( + self, cparser.llhttp_type mode, + object protocol, object loop, int limit, + object timer=None, + size_t max_line_size=8190, size_t max_headers=32768, + size_t max_field_size=8190, payload_exception=None, + bint response_with_body=True, bint read_until_eof=False, + bint auto_decompress=True, + ): + cparser.llhttp_settings_init(self._csettings) + cparser.llhttp_init(self._cparser, mode, self._csettings) + self._cparser.data = self + self._cparser.content_length = 0 + + self._protocol = protocol + self._loop = loop + self._timer = timer + + self._buf = bytearray() + self._payload = None + self._payload_error = 0 + self._payload_exception = payload_exception + self._messages = [] + + self._raw_name = EMPTY_BYTES + self._raw_value = EMPTY_BYTES + self._has_value = False + + self._max_line_size = max_line_size + self._max_headers = max_headers + self._max_field_size = max_field_size + self._response_with_body = response_with_body + self._read_until_eof = read_until_eof + self._upgraded = False + self._auto_decompress = auto_decompress + self._content_encoding = None + + self._csettings.on_url = cb_on_url + self._csettings.on_status = cb_on_status + self._csettings.on_header_field = cb_on_header_field + self._csettings.on_header_value = cb_on_header_value + self._csettings.on_headers_complete = cb_on_headers_complete + self._csettings.on_body = cb_on_body + self._csettings.on_message_begin = cb_on_message_begin + self._csettings.on_message_complete = cb_on_message_complete + self._csettings.on_chunk_header = cb_on_chunk_header + self._csettings.on_chunk_complete = cb_on_chunk_complete + + self._last_error = None + self._limit = limit + + cdef _process_header(self): + cdef str value + if self._raw_name is not EMPTY_BYTES: + name = find_header(self._raw_name) + value = self._raw_value.decode('utf-8', 'surrogateescape') + + self._headers.append((name, value)) + + if name is CONTENT_ENCODING: + self._content_encoding = value + + self._has_value = False + self._raw_headers.append((self._raw_name, self._raw_value)) + self._raw_name = EMPTY_BYTES + self._raw_value = EMPTY_BYTES + + cdef _on_header_field(self, char* at, size_t length): + if self._has_value: + self._process_header() + + if self._raw_name is EMPTY_BYTES: + self._raw_name = at[:length] + else: + self._raw_name += at[:length] + + cdef _on_header_value(self, char* at, size_t length): + if self._raw_value is EMPTY_BYTES: + self._raw_value = at[:length] + else: + self._raw_value += at[:length] + self._has_value = True + + cdef _on_headers_complete(self): + self._process_header() + + should_close = not cparser.llhttp_should_keep_alive(self._cparser) + upgrade = self._cparser.upgrade + chunked = self._cparser.flags & cparser.F_CHUNKED + + raw_headers = tuple(self._raw_headers) + headers = CIMultiDictProxy(CIMultiDict(self._headers)) + + if self._cparser.type == cparser.HTTP_REQUEST: + h_upg = headers.get("upgrade", "") + allowed = upgrade and h_upg.isascii() and h_upg.lower() in ALLOWED_UPGRADES + if allowed or self._cparser.method == cparser.HTTP_CONNECT: + self._upgraded = True + else: + if upgrade and self._cparser.status_code == 101: + self._upgraded = True + + # do not support old websocket spec + if SEC_WEBSOCKET_KEY1 in headers: + raise InvalidHeader(SEC_WEBSOCKET_KEY1) + + encoding = None + enc = self._content_encoding + if enc is not None: + self._content_encoding = None + if enc.isascii() and enc.lower() in {"gzip", "deflate", "br", "zstd"}: + encoding = enc + + if self._cparser.type == cparser.HTTP_REQUEST: + method = http_method_str(self._cparser.method) + msg = _new_request_message( + method, self._path, + self.http_version(), headers, raw_headers, + should_close, encoding, upgrade, chunked, self._url) + else: + msg = _new_response_message( + self.http_version(), self._cparser.status_code, self._reason, + headers, raw_headers, should_close, encoding, + upgrade, chunked) + + if ( + ULLONG_MAX > self._cparser.content_length > 0 or chunked or + self._cparser.method == cparser.HTTP_CONNECT or + (self._cparser.status_code >= 199 and + self._cparser.content_length == 0 and + self._read_until_eof) + ): + payload = StreamReader( + self._protocol, timer=self._timer, loop=self._loop, + limit=self._limit) + else: + payload = EMPTY_PAYLOAD + + self._payload = payload + if encoding is not None and self._auto_decompress: + self._payload = DeflateBuffer(payload, encoding) + + if not self._response_with_body: + payload = EMPTY_PAYLOAD + + self._messages.append((msg, payload)) + + cdef _on_message_complete(self): + self._payload.feed_eof() + self._payload = None + + cdef _on_chunk_header(self): + self._payload.begin_http_chunk_receiving() + + cdef _on_chunk_complete(self): + self._payload.end_http_chunk_receiving() + + cdef object _on_status_complete(self): + pass + + cdef inline http_version(self): + cdef cparser.llhttp_t* parser = self._cparser + + if parser.http_major == 1: + if parser.http_minor == 0: + return HttpVersion10 + elif parser.http_minor == 1: + return HttpVersion11 + + return HttpVersion(parser.http_major, parser.http_minor) + + ### Public API ### + + def feed_eof(self): + cdef bytes desc + + if self._payload is not None: + if self._cparser.flags & cparser.F_CHUNKED: + raise TransferEncodingError( + "Not enough data to satisfy transfer length header.") + elif self._cparser.flags & cparser.F_CONTENT_LENGTH: + raise ContentLengthError( + "Not enough data to satisfy content length header.") + elif cparser.llhttp_get_errno(self._cparser) != cparser.HPE_OK: + desc = cparser.llhttp_get_error_reason(self._cparser) + raise PayloadEncodingError(desc.decode('latin-1')) + else: + self._payload.feed_eof() + elif self._started: + self._on_headers_complete() + if self._messages: + return self._messages[-1][0] + + def feed_data(self, data): + cdef: + size_t data_len + size_t nb + cdef cparser.llhttp_errno_t errno + + PyObject_GetBuffer(data, &self.py_buf, PyBUF_SIMPLE) + data_len = self.py_buf.len + + errno = cparser.llhttp_execute( + self._cparser, + self.py_buf.buf, + data_len) + + if errno is cparser.HPE_PAUSED_UPGRADE: + cparser.llhttp_resume_after_upgrade(self._cparser) + + nb = cparser.llhttp_get_error_pos(self._cparser) - self.py_buf.buf + + PyBuffer_Release(&self.py_buf) + + if errno not in (cparser.HPE_OK, cparser.HPE_PAUSED_UPGRADE): + if self._payload_error == 0: + if self._last_error is not None: + ex = self._last_error + self._last_error = None + else: + after = cparser.llhttp_get_error_pos(self._cparser) + before = data[:after - self.py_buf.buf] + after_b = after.split(b"\r\n", 1)[0] + before = before.rsplit(b"\r\n", 1)[-1] + data = before + after_b + pointer = " " * (len(repr(before))-1) + "^" + ex = parser_error_from_errno(self._cparser, data, pointer) + self._payload = None + raise ex + + if self._messages: + messages = self._messages + self._messages = [] + else: + messages = () + + if self._upgraded: + return messages, True, data[nb:] + else: + return messages, False, b"" + + def set_upgraded(self, val): + self._upgraded = val + + +cdef class HttpRequestParser(HttpParser): + + def __init__( + self, protocol, loop, int limit, timer=None, + size_t max_line_size=8190, size_t max_headers=32768, + size_t max_field_size=8190, payload_exception=None, + bint response_with_body=True, bint read_until_eof=False, + bint auto_decompress=True, + ): + self._init(cparser.HTTP_REQUEST, protocol, loop, limit, timer, + max_line_size, max_headers, max_field_size, + payload_exception, response_with_body, read_until_eof, + auto_decompress) + + cdef object _on_status_complete(self): + cdef int idx1, idx2 + if not self._buf: + return + self._path = self._buf.decode('utf-8', 'surrogateescape') + try: + idx3 = len(self._path) + if self._cparser.method == cparser.HTTP_CONNECT: + # authority-form, + # https://datatracker.ietf.org/doc/html/rfc7230#section-5.3.3 + self._url = URL.build(authority=self._path, encoded=True) + elif idx3 > 1 and self._path[0] == '/': + # origin-form, + # https://datatracker.ietf.org/doc/html/rfc7230#section-5.3.1 + idx1 = self._path.find("?") + if idx1 == -1: + query = "" + idx2 = self._path.find("#") + if idx2 == -1: + path = self._path + fragment = "" + else: + path = self._path[0: idx2] + fragment = self._path[idx2+1:] + + else: + path = self._path[0:idx1] + idx1 += 1 + idx2 = self._path.find("#", idx1+1) + if idx2 == -1: + query = self._path[idx1:] + fragment = "" + else: + query = self._path[idx1: idx2] + fragment = self._path[idx2+1:] + + self._url = URL.build( + path=path, + query_string=query, + fragment=fragment, + encoded=True, + ) + else: + # absolute-form for proxy maybe, + # https://datatracker.ietf.org/doc/html/rfc7230#section-5.3.2 + self._url = URL(self._path, encoded=True) + finally: + PyByteArray_Resize(self._buf, 0) + + +cdef class HttpResponseParser(HttpParser): + + def __init__( + self, protocol, loop, int limit, timer=None, + size_t max_line_size=8190, size_t max_headers=32768, + size_t max_field_size=8190, payload_exception=None, + bint response_with_body=True, bint read_until_eof=False, + bint auto_decompress=True + ): + self._init(cparser.HTTP_RESPONSE, protocol, loop, limit, timer, + max_line_size, max_headers, max_field_size, + payload_exception, response_with_body, read_until_eof, + auto_decompress) + # Use strict parsing on dev mode, so users are warned about broken servers. + if not DEBUG: + cparser.llhttp_set_lenient_headers(self._cparser, 1) + cparser.llhttp_set_lenient_optional_cr_before_lf(self._cparser, 1) + cparser.llhttp_set_lenient_spaces_after_chunk_size(self._cparser, 1) + + cdef object _on_status_complete(self): + if self._buf: + self._reason = self._buf.decode('utf-8', 'surrogateescape') + PyByteArray_Resize(self._buf, 0) + else: + self._reason = self._reason or '' + +cdef int cb_on_message_begin(cparser.llhttp_t* parser) except -1: + cdef HttpParser pyparser = parser.data + + pyparser._started = True + pyparser._headers = [] + pyparser._raw_headers = [] + PyByteArray_Resize(pyparser._buf, 0) + pyparser._path = None + pyparser._reason = None + return 0 + + +cdef int cb_on_url(cparser.llhttp_t* parser, + const char *at, size_t length) except -1: + cdef HttpParser pyparser = parser.data + try: + if length > pyparser._max_line_size: + raise LineTooLong( + 'Status line is too long', pyparser._max_line_size, length) + extend(pyparser._buf, at, length) + except BaseException as ex: + pyparser._last_error = ex + return -1 + else: + return 0 + + +cdef int cb_on_status(cparser.llhttp_t* parser, + const char *at, size_t length) except -1: + cdef HttpParser pyparser = parser.data + cdef str reason + try: + if length > pyparser._max_line_size: + raise LineTooLong( + 'Status line is too long', pyparser._max_line_size, length) + extend(pyparser._buf, at, length) + except BaseException as ex: + pyparser._last_error = ex + return -1 + else: + return 0 + + +cdef int cb_on_header_field(cparser.llhttp_t* parser, + const char *at, size_t length) except -1: + cdef HttpParser pyparser = parser.data + cdef Py_ssize_t size + try: + pyparser._on_status_complete() + size = len(pyparser._raw_name) + length + if size > pyparser._max_field_size: + raise LineTooLong( + 'Header name is too long', pyparser._max_field_size, size) + pyparser._on_header_field(at, length) + except BaseException as ex: + pyparser._last_error = ex + return -1 + else: + return 0 + + +cdef int cb_on_header_value(cparser.llhttp_t* parser, + const char *at, size_t length) except -1: + cdef HttpParser pyparser = parser.data + cdef Py_ssize_t size + try: + size = len(pyparser._raw_value) + length + if size > pyparser._max_field_size: + raise LineTooLong( + 'Header value is too long', pyparser._max_field_size, size) + pyparser._on_header_value(at, length) + except BaseException as ex: + pyparser._last_error = ex + return -1 + else: + return 0 + + +cdef int cb_on_headers_complete(cparser.llhttp_t* parser) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._on_status_complete() + pyparser._on_headers_complete() + except BaseException as exc: + pyparser._last_error = exc + return -1 + else: + if pyparser._upgraded or pyparser._cparser.method == cparser.HTTP_CONNECT: + return 2 + else: + return 0 + + +cdef int cb_on_body(cparser.llhttp_t* parser, + const char *at, size_t length) except -1: + cdef HttpParser pyparser = parser.data + cdef bytes body = at[:length] + try: + pyparser._payload.feed_data(body, length) + except BaseException as underlying_exc: + reraised_exc = underlying_exc + if pyparser._payload_exception is not None: + reraised_exc = pyparser._payload_exception(str(underlying_exc)) + + set_exception(pyparser._payload, reraised_exc, underlying_exc) + + pyparser._payload_error = 1 + return -1 + else: + return 0 + + +cdef int cb_on_message_complete(cparser.llhttp_t* parser) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._started = False + pyparser._on_message_complete() + except BaseException as exc: + pyparser._last_error = exc + return -1 + else: + return 0 + + +cdef int cb_on_chunk_header(cparser.llhttp_t* parser) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._on_chunk_header() + except BaseException as exc: + pyparser._last_error = exc + return -1 + else: + return 0 + + +cdef int cb_on_chunk_complete(cparser.llhttp_t* parser) except -1: + cdef HttpParser pyparser = parser.data + try: + pyparser._on_chunk_complete() + except BaseException as exc: + pyparser._last_error = exc + return -1 + else: + return 0 + + +cdef parser_error_from_errno(cparser.llhttp_t* parser, data, pointer): + cdef cparser.llhttp_errno_t errno = cparser.llhttp_get_errno(parser) + cdef bytes desc = cparser.llhttp_get_error_reason(parser) + + err_msg = "{}:\n\n {!r}\n {}".format(desc.decode("latin-1"), data, pointer) + + if errno in {cparser.HPE_CB_MESSAGE_BEGIN, + cparser.HPE_CB_HEADERS_COMPLETE, + cparser.HPE_CB_MESSAGE_COMPLETE, + cparser.HPE_CB_CHUNK_HEADER, + cparser.HPE_CB_CHUNK_COMPLETE, + cparser.HPE_INVALID_CONSTANT, + cparser.HPE_INVALID_HEADER_TOKEN, + cparser.HPE_INVALID_CONTENT_LENGTH, + cparser.HPE_INVALID_CHUNK_SIZE, + cparser.HPE_INVALID_EOF_STATE, + cparser.HPE_INVALID_TRANSFER_ENCODING}: + return BadHttpMessage(err_msg) + elif errno == cparser.HPE_INVALID_METHOD: + return BadHttpMethod(error=err_msg) + elif errno in {cparser.HPE_INVALID_STATUS, + cparser.HPE_INVALID_VERSION}: + return BadStatusLine(error=err_msg) + elif errno == cparser.HPE_INVALID_URL: + return InvalidURLError(err_msg) + + return BadHttpMessage(err_msg) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_writer.cpython-310-x86_64-linux-gnu.so b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_writer.cpython-310-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..c74a7ee3ac0f28e08aa13567763e2942cd785973 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_writer.cpython-310-x86_64-linux-gnu.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3c662172bcf01fea30610425eefdc544e4442ec981ab9290fa6a9b3bbfb7d7aa +size 524944 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_writer.pyx b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_writer.pyx new file mode 100644 index 0000000000000000000000000000000000000000..7989c186c89296e7fa9e336bdad447d27e6f3416 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_http_writer.pyx @@ -0,0 +1,162 @@ +from cpython.bytes cimport PyBytes_FromStringAndSize +from cpython.exc cimport PyErr_NoMemory +from cpython.mem cimport PyMem_Free, PyMem_Malloc, PyMem_Realloc +from cpython.object cimport PyObject_Str +from libc.stdint cimport uint8_t, uint64_t +from libc.string cimport memcpy + +from multidict import istr + +DEF BUF_SIZE = 16 * 1024 # 16KiB + +cdef object _istr = istr + + +# ----------------- writer --------------------------- + +cdef struct Writer: + char *buf + Py_ssize_t size + Py_ssize_t pos + bint heap_allocated + +cdef inline void _init_writer(Writer* writer, char *buf): + writer.buf = buf + writer.size = BUF_SIZE + writer.pos = 0 + writer.heap_allocated = 0 + + +cdef inline void _release_writer(Writer* writer): + if writer.heap_allocated: + PyMem_Free(writer.buf) + + +cdef inline int _write_byte(Writer* writer, uint8_t ch): + cdef char * buf + cdef Py_ssize_t size + + if writer.pos == writer.size: + # reallocate + size = writer.size + BUF_SIZE + if not writer.heap_allocated: + buf = PyMem_Malloc(size) + if buf == NULL: + PyErr_NoMemory() + return -1 + memcpy(buf, writer.buf, writer.size) + else: + buf = PyMem_Realloc(writer.buf, size) + if buf == NULL: + PyErr_NoMemory() + return -1 + writer.buf = buf + writer.size = size + writer.heap_allocated = 1 + writer.buf[writer.pos] = ch + writer.pos += 1 + return 0 + + +cdef inline int _write_utf8(Writer* writer, Py_UCS4 symbol): + cdef uint64_t utf = symbol + + if utf < 0x80: + return _write_byte(writer, utf) + elif utf < 0x800: + if _write_byte(writer, (0xc0 | (utf >> 6))) < 0: + return -1 + return _write_byte(writer, (0x80 | (utf & 0x3f))) + elif 0xD800 <= utf <= 0xDFFF: + # surogate pair, ignored + return 0 + elif utf < 0x10000: + if _write_byte(writer, (0xe0 | (utf >> 12))) < 0: + return -1 + if _write_byte(writer, (0x80 | ((utf >> 6) & 0x3f))) < 0: + return -1 + return _write_byte(writer, (0x80 | (utf & 0x3f))) + elif utf > 0x10FFFF: + # symbol is too large + return 0 + else: + if _write_byte(writer, (0xf0 | (utf >> 18))) < 0: + return -1 + if _write_byte(writer, + (0x80 | ((utf >> 12) & 0x3f))) < 0: + return -1 + if _write_byte(writer, + (0x80 | ((utf >> 6) & 0x3f))) < 0: + return -1 + return _write_byte(writer, (0x80 | (utf & 0x3f))) + + +cdef inline int _write_str(Writer* writer, str s): + cdef Py_UCS4 ch + for ch in s: + if _write_utf8(writer, ch) < 0: + return -1 + + +cdef inline int _write_str_raise_on_nlcr(Writer* writer, object s): + cdef Py_UCS4 ch + cdef str out_str + if type(s) is str: + out_str = s + elif type(s) is _istr: + out_str = PyObject_Str(s) + elif not isinstance(s, str): + raise TypeError("Cannot serialize non-str key {!r}".format(s)) + else: + out_str = str(s) + + for ch in out_str: + if ch == 0x0D or ch == 0x0A: + raise ValueError( + "Newline or carriage return detected in headers. " + "Potential header injection attack." + ) + if _write_utf8(writer, ch) < 0: + return -1 + + +# --------------- _serialize_headers ---------------------- + +def _serialize_headers(str status_line, headers): + cdef Writer writer + cdef object key + cdef object val + cdef char buf[BUF_SIZE] + + _init_writer(&writer, buf) + + try: + if _write_str(&writer, status_line) < 0: + raise + if _write_byte(&writer, b'\r') < 0: + raise + if _write_byte(&writer, b'\n') < 0: + raise + + for key, val in headers.items(): + if _write_str_raise_on_nlcr(&writer, key) < 0: + raise + if _write_byte(&writer, b':') < 0: + raise + if _write_byte(&writer, b' ') < 0: + raise + if _write_str_raise_on_nlcr(&writer, val) < 0: + raise + if _write_byte(&writer, b'\r') < 0: + raise + if _write_byte(&writer, b'\n') < 0: + raise + + if _write_byte(&writer, b'\r') < 0: + raise + if _write_byte(&writer, b'\n') < 0: + raise + + return PyBytes_FromStringAndSize(writer.buf, writer.pos) + finally: + _release_writer(&writer) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/.hash/mask.pxd.hash b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/.hash/mask.pxd.hash new file mode 100644 index 0000000000000000000000000000000000000000..eadfed3d48b4781b271296d8864672a9b46b73c8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/.hash/mask.pxd.hash @@ -0,0 +1 @@ +b01999d409b29bd916e067bc963d5f2d9ee63cfc9ae0bccb769910131417bf93 /home/runner/work/aiohttp/aiohttp/aiohttp/_websocket/mask.pxd diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/.hash/mask.pyx.hash b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/.hash/mask.pyx.hash new file mode 100644 index 0000000000000000000000000000000000000000..5cd7ae67746cbdcc347183a9fdb1aa24a6f89063 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/.hash/mask.pyx.hash @@ -0,0 +1 @@ +0478ceb55d0ed30ef1a7da742cd003449bc69a07cf9fdb06789bd2b347cbfffe /home/runner/work/aiohttp/aiohttp/aiohttp/_websocket/mask.pyx diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/.hash/reader_c.pxd.hash b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/.hash/reader_c.pxd.hash new file mode 100644 index 0000000000000000000000000000000000000000..f2feb6aad915eb2dfbe1803aec0f0095f67fb5d6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/.hash/reader_c.pxd.hash @@ -0,0 +1 @@ +9e5fe78ed0ebce5414d2b8e01868d90c1facc20b84d2d5ff6c23e86e44a155ae /home/runner/work/aiohttp/aiohttp/aiohttp/_websocket/reader_c.pxd diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..836257cc47aba3e74863c7de0e098d0835bcee1f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/__init__.py @@ -0,0 +1 @@ +"""WebSocket protocol versions 13 and 8.""" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/helpers.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/helpers.py new file mode 100644 index 0000000000000000000000000000000000000000..0bb58df9228603fc1eb79a7a2cac8301217a36a1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/helpers.py @@ -0,0 +1,147 @@ +"""Helpers for WebSocket protocol versions 13 and 8.""" + +import functools +import re +from struct import Struct +from typing import TYPE_CHECKING, Final, List, Optional, Pattern, Tuple + +from ..helpers import NO_EXTENSIONS +from .models import WSHandshakeError + +UNPACK_LEN3 = Struct("!Q").unpack_from +UNPACK_CLOSE_CODE = Struct("!H").unpack +PACK_LEN1 = Struct("!BB").pack +PACK_LEN2 = Struct("!BBH").pack +PACK_LEN3 = Struct("!BBQ").pack +PACK_CLOSE_CODE = Struct("!H").pack +PACK_RANDBITS = Struct("!L").pack +MSG_SIZE: Final[int] = 2**14 +MASK_LEN: Final[int] = 4 + +WS_KEY: Final[bytes] = b"258EAFA5-E914-47DA-95CA-C5AB0DC85B11" + + +# Used by _websocket_mask_python +@functools.lru_cache +def _xor_table() -> List[bytes]: + return [bytes(a ^ b for a in range(256)) for b in range(256)] + + +def _websocket_mask_python(mask: bytes, data: bytearray) -> None: + """Websocket masking function. + + `mask` is a `bytes` object of length 4; `data` is a `bytearray` + object of any length. The contents of `data` are masked with `mask`, + as specified in section 5.3 of RFC 6455. + + Note that this function mutates the `data` argument. + + This pure-python implementation may be replaced by an optimized + version when available. + + """ + assert isinstance(data, bytearray), data + assert len(mask) == 4, mask + + if data: + _XOR_TABLE = _xor_table() + a, b, c, d = (_XOR_TABLE[n] for n in mask) + data[::4] = data[::4].translate(a) + data[1::4] = data[1::4].translate(b) + data[2::4] = data[2::4].translate(c) + data[3::4] = data[3::4].translate(d) + + +if TYPE_CHECKING or NO_EXTENSIONS: # pragma: no cover + websocket_mask = _websocket_mask_python +else: + try: + from .mask import _websocket_mask_cython # type: ignore[import-not-found] + + websocket_mask = _websocket_mask_cython + except ImportError: # pragma: no cover + websocket_mask = _websocket_mask_python + + +_WS_EXT_RE: Final[Pattern[str]] = re.compile( + r"^(?:;\s*(?:" + r"(server_no_context_takeover)|" + r"(client_no_context_takeover)|" + r"(server_max_window_bits(?:=(\d+))?)|" + r"(client_max_window_bits(?:=(\d+))?)))*$" +) + +_WS_EXT_RE_SPLIT: Final[Pattern[str]] = re.compile(r"permessage-deflate([^,]+)?") + + +def ws_ext_parse(extstr: Optional[str], isserver: bool = False) -> Tuple[int, bool]: + if not extstr: + return 0, False + + compress = 0 + notakeover = False + for ext in _WS_EXT_RE_SPLIT.finditer(extstr): + defext = ext.group(1) + # Return compress = 15 when get `permessage-deflate` + if not defext: + compress = 15 + break + match = _WS_EXT_RE.match(defext) + if match: + compress = 15 + if isserver: + # Server never fail to detect compress handshake. + # Server does not need to send max wbit to client + if match.group(4): + compress = int(match.group(4)) + # Group3 must match if group4 matches + # Compress wbit 8 does not support in zlib + # If compress level not support, + # CONTINUE to next extension + if compress > 15 or compress < 9: + compress = 0 + continue + if match.group(1): + notakeover = True + # Ignore regex group 5 & 6 for client_max_window_bits + break + else: + if match.group(6): + compress = int(match.group(6)) + # Group5 must match if group6 matches + # Compress wbit 8 does not support in zlib + # If compress level not support, + # FAIL the parse progress + if compress > 15 or compress < 9: + raise WSHandshakeError("Invalid window size") + if match.group(2): + notakeover = True + # Ignore regex group 5 & 6 for client_max_window_bits + break + # Return Fail if client side and not match + elif not isserver: + raise WSHandshakeError("Extension for deflate not supported" + ext.group(1)) + + return compress, notakeover + + +def ws_ext_gen( + compress: int = 15, isserver: bool = False, server_notakeover: bool = False +) -> str: + # client_notakeover=False not used for server + # compress wbit 8 does not support in zlib + if compress < 9 or compress > 15: + raise ValueError( + "Compress wbits must between 9 and 15, zlib does not support wbits=8" + ) + enabledext = ["permessage-deflate"] + if not isserver: + enabledext.append("client_max_window_bits") + + if compress < 15: + enabledext.append("server_max_window_bits=" + str(compress)) + if server_notakeover: + enabledext.append("server_no_context_takeover") + # if client_notakeover: + # enabledext.append('client_no_context_takeover') + return "; ".join(enabledext) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/mask.cpython-310-x86_64-linux-gnu.so b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/mask.cpython-310-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..f375e4a49b69d8409c54b02a5f28177f4f25c5d6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/mask.cpython-310-x86_64-linux-gnu.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dfeaee543888b072803ce03815d08c8ac01b1556cc200a3fd546baa8d16058d3 +size 223128 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/mask.pxd b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/mask.pxd new file mode 100644 index 0000000000000000000000000000000000000000..90983de9ac7e59dfceb639c1e7b656abd5fbb305 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/mask.pxd @@ -0,0 +1,3 @@ +"""Cython declarations for websocket masking.""" + +cpdef void _websocket_mask_cython(bytes mask, bytearray data) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/mask.pyx b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/mask.pyx new file mode 100644 index 0000000000000000000000000000000000000000..2d956c8899644d4c6bce042b928be1f23e51293a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/mask.pyx @@ -0,0 +1,48 @@ +from cpython cimport PyBytes_AsString + + +#from cpython cimport PyByteArray_AsString # cython still not exports that +cdef extern from "Python.h": + char* PyByteArray_AsString(bytearray ba) except NULL + +from libc.stdint cimport uint32_t, uint64_t, uintmax_t + + +cpdef void _websocket_mask_cython(bytes mask, bytearray data): + """Note, this function mutates its `data` argument + """ + cdef: + Py_ssize_t data_len, i + # bit operations on signed integers are implementation-specific + unsigned char * in_buf + const unsigned char * mask_buf + uint32_t uint32_msk + uint64_t uint64_msk + + assert len(mask) == 4 + + data_len = len(data) + in_buf = PyByteArray_AsString(data) + mask_buf = PyBytes_AsString(mask) + uint32_msk = (mask_buf)[0] + + # TODO: align in_data ptr to achieve even faster speeds + # does it need in python ?! malloc() always aligns to sizeof(long) bytes + + if sizeof(size_t) >= 8: + uint64_msk = uint32_msk + uint64_msk = (uint64_msk << 32) | uint32_msk + + while data_len >= 8: + (in_buf)[0] ^= uint64_msk + in_buf += 8 + data_len -= 8 + + + while data_len >= 4: + (in_buf)[0] ^= uint32_msk + in_buf += 4 + data_len -= 4 + + for i in range(0, data_len): + in_buf[i] ^= mask_buf[i] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/models.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/models.py new file mode 100644 index 0000000000000000000000000000000000000000..7e89b9652957e8f4e73916e18048368e8d75911e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/models.py @@ -0,0 +1,84 @@ +"""Models for WebSocket protocol versions 13 and 8.""" + +import json +from enum import IntEnum +from typing import Any, Callable, Final, NamedTuple, Optional, cast + +WS_DEFLATE_TRAILING: Final[bytes] = bytes([0x00, 0x00, 0xFF, 0xFF]) + + +class WSCloseCode(IntEnum): + OK = 1000 + GOING_AWAY = 1001 + PROTOCOL_ERROR = 1002 + UNSUPPORTED_DATA = 1003 + ABNORMAL_CLOSURE = 1006 + INVALID_TEXT = 1007 + POLICY_VIOLATION = 1008 + MESSAGE_TOO_BIG = 1009 + MANDATORY_EXTENSION = 1010 + INTERNAL_ERROR = 1011 + SERVICE_RESTART = 1012 + TRY_AGAIN_LATER = 1013 + BAD_GATEWAY = 1014 + + +class WSMsgType(IntEnum): + # websocket spec types + CONTINUATION = 0x0 + TEXT = 0x1 + BINARY = 0x2 + PING = 0x9 + PONG = 0xA + CLOSE = 0x8 + + # aiohttp specific types + CLOSING = 0x100 + CLOSED = 0x101 + ERROR = 0x102 + + text = TEXT + binary = BINARY + ping = PING + pong = PONG + close = CLOSE + closing = CLOSING + closed = CLOSED + error = ERROR + + +class WSMessage(NamedTuple): + type: WSMsgType + # To type correctly, this would need some kind of tagged union for each type. + data: Any + extra: Optional[str] + + def json(self, *, loads: Callable[[Any], Any] = json.loads) -> Any: + """Return parsed JSON data. + + .. versionadded:: 0.22 + """ + return loads(self.data) + + +# Constructing the tuple directly to avoid the overhead of +# the lambda and arg processing since NamedTuples are constructed +# with a run time built lambda +# https://github.com/python/cpython/blob/d83fcf8371f2f33c7797bc8f5423a8bca8c46e5c/Lib/collections/__init__.py#L441 +WS_CLOSED_MESSAGE = tuple.__new__(WSMessage, (WSMsgType.CLOSED, None, None)) +WS_CLOSING_MESSAGE = tuple.__new__(WSMessage, (WSMsgType.CLOSING, None, None)) + + +class WebSocketError(Exception): + """WebSocket protocol parser error.""" + + def __init__(self, code: int, message: str) -> None: + self.code = code + super().__init__(code, message) + + def __str__(self) -> str: + return cast(str, self.args[1]) + + +class WSHandshakeError(Exception): + """WebSocket protocol handshake error.""" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader.py new file mode 100644 index 0000000000000000000000000000000000000000..23f32265cfccbdc8c8fe2f1600accbfb6f816efa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader.py @@ -0,0 +1,31 @@ +"""Reader for WebSocket protocol versions 13 and 8.""" + +from typing import TYPE_CHECKING + +from ..helpers import NO_EXTENSIONS + +if TYPE_CHECKING or NO_EXTENSIONS: # pragma: no cover + from .reader_py import ( + WebSocketDataQueue as WebSocketDataQueuePython, + WebSocketReader as WebSocketReaderPython, + ) + + WebSocketReader = WebSocketReaderPython + WebSocketDataQueue = WebSocketDataQueuePython +else: + try: + from .reader_c import ( # type: ignore[import-not-found] + WebSocketDataQueue as WebSocketDataQueueCython, + WebSocketReader as WebSocketReaderCython, + ) + + WebSocketReader = WebSocketReaderCython + WebSocketDataQueue = WebSocketDataQueueCython + except ImportError: # pragma: no cover + from .reader_py import ( + WebSocketDataQueue as WebSocketDataQueuePython, + WebSocketReader as WebSocketReaderPython, + ) + + WebSocketReader = WebSocketReaderPython + WebSocketDataQueue = WebSocketDataQueuePython diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_c.cpython-310-x86_64-linux-gnu.so b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_c.cpython-310-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..8648ee2c76bf5711e74f70b4168922ba11137a79 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_c.cpython-310-x86_64-linux-gnu.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2cb8745af8c223dbf02cd9f75667bc4e884e5392ba8468626a4106ea2299e2f2 +size 1711792 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_c.pxd b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_c.pxd new file mode 100644 index 0000000000000000000000000000000000000000..a7620d8e87fddd189ed9dbb062e6ec34aa8d673e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_c.pxd @@ -0,0 +1,110 @@ +import cython + +from .mask cimport _websocket_mask_cython as websocket_mask + + +cdef unsigned int READ_HEADER +cdef unsigned int READ_PAYLOAD_LENGTH +cdef unsigned int READ_PAYLOAD_MASK +cdef unsigned int READ_PAYLOAD + +cdef int OP_CODE_NOT_SET +cdef int OP_CODE_CONTINUATION +cdef int OP_CODE_TEXT +cdef int OP_CODE_BINARY +cdef int OP_CODE_CLOSE +cdef int OP_CODE_PING +cdef int OP_CODE_PONG + +cdef int COMPRESSED_NOT_SET +cdef int COMPRESSED_FALSE +cdef int COMPRESSED_TRUE + +cdef object UNPACK_LEN3 +cdef object UNPACK_CLOSE_CODE +cdef object TUPLE_NEW + +cdef object WSMsgType +cdef object WSMessage + +cdef object WS_MSG_TYPE_TEXT +cdef object WS_MSG_TYPE_BINARY + +cdef set ALLOWED_CLOSE_CODES +cdef set MESSAGE_TYPES_WITH_CONTENT + +cdef tuple EMPTY_FRAME +cdef tuple EMPTY_FRAME_ERROR + +cdef class WebSocketDataQueue: + + cdef unsigned int _size + cdef public object _protocol + cdef unsigned int _limit + cdef object _loop + cdef bint _eof + cdef object _waiter + cdef object _exception + cdef public object _buffer + cdef object _get_buffer + cdef object _put_buffer + + cdef void _release_waiter(self) + + cpdef void feed_data(self, object data, unsigned int size) + + @cython.locals(size="unsigned int") + cdef _read_from_buffer(self) + +cdef class WebSocketReader: + + cdef WebSocketDataQueue queue + cdef unsigned int _max_msg_size + + cdef Exception _exc + cdef bytearray _partial + cdef unsigned int _state + + cdef int _opcode + cdef bint _frame_fin + cdef int _frame_opcode + cdef list _payload_fragments + cdef Py_ssize_t _frame_payload_len + + cdef bytes _tail + cdef bint _has_mask + cdef bytes _frame_mask + cdef Py_ssize_t _payload_bytes_to_read + cdef unsigned int _payload_len_flag + cdef int _compressed + cdef object _decompressobj + cdef bint _compress + + cpdef tuple feed_data(self, object data) + + @cython.locals( + is_continuation=bint, + fin=bint, + has_partial=bint, + payload_merged=bytes, + ) + cpdef void _handle_frame(self, bint fin, int opcode, object payload, int compressed) except * + + @cython.locals( + start_pos=Py_ssize_t, + data_len=Py_ssize_t, + length=Py_ssize_t, + chunk_size=Py_ssize_t, + chunk_len=Py_ssize_t, + data_len=Py_ssize_t, + data_cstr="const unsigned char *", + first_byte="unsigned char", + second_byte="unsigned char", + f_start_pos=Py_ssize_t, + f_end_pos=Py_ssize_t, + has_mask=bint, + fin=bint, + had_fragments=Py_ssize_t, + payload_bytearray=bytearray, + ) + cpdef void _feed_data(self, bytes data) except * diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_c.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_c.py new file mode 100644 index 0000000000000000000000000000000000000000..5166d7ec26091a7183db7d9297511d3e62fd639c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_c.py @@ -0,0 +1,478 @@ +"""Reader for WebSocket protocol versions 13 and 8.""" + +import asyncio +import builtins +from collections import deque +from typing import Deque, Final, Optional, Set, Tuple, Union + +from ..base_protocol import BaseProtocol +from ..compression_utils import ZLibDecompressor +from ..helpers import _EXC_SENTINEL, set_exception +from ..streams import EofStream +from .helpers import UNPACK_CLOSE_CODE, UNPACK_LEN3, websocket_mask +from .models import ( + WS_DEFLATE_TRAILING, + WebSocketError, + WSCloseCode, + WSMessage, + WSMsgType, +) + +ALLOWED_CLOSE_CODES: Final[Set[int]] = {int(i) for i in WSCloseCode} + +# States for the reader, used to parse the WebSocket frame +# integer values are used so they can be cythonized +READ_HEADER = 1 +READ_PAYLOAD_LENGTH = 2 +READ_PAYLOAD_MASK = 3 +READ_PAYLOAD = 4 + +WS_MSG_TYPE_BINARY = WSMsgType.BINARY +WS_MSG_TYPE_TEXT = WSMsgType.TEXT + +# WSMsgType values unpacked so they can by cythonized to ints +OP_CODE_NOT_SET = -1 +OP_CODE_CONTINUATION = WSMsgType.CONTINUATION.value +OP_CODE_TEXT = WSMsgType.TEXT.value +OP_CODE_BINARY = WSMsgType.BINARY.value +OP_CODE_CLOSE = WSMsgType.CLOSE.value +OP_CODE_PING = WSMsgType.PING.value +OP_CODE_PONG = WSMsgType.PONG.value + +EMPTY_FRAME_ERROR = (True, b"") +EMPTY_FRAME = (False, b"") + +COMPRESSED_NOT_SET = -1 +COMPRESSED_FALSE = 0 +COMPRESSED_TRUE = 1 + +TUPLE_NEW = tuple.__new__ + +cython_int = int # Typed to int in Python, but cython with use a signed int in the pxd + + +class WebSocketDataQueue: + """WebSocketDataQueue resumes and pauses an underlying stream. + + It is a destination for WebSocket data. + """ + + def __init__( + self, protocol: BaseProtocol, limit: int, *, loop: asyncio.AbstractEventLoop + ) -> None: + self._size = 0 + self._protocol = protocol + self._limit = limit * 2 + self._loop = loop + self._eof = False + self._waiter: Optional[asyncio.Future[None]] = None + self._exception: Union[BaseException, None] = None + self._buffer: Deque[Tuple[WSMessage, int]] = deque() + self._get_buffer = self._buffer.popleft + self._put_buffer = self._buffer.append + + def is_eof(self) -> bool: + return self._eof + + def exception(self) -> Optional[BaseException]: + return self._exception + + def set_exception( + self, + exc: BaseException, + exc_cause: builtins.BaseException = _EXC_SENTINEL, + ) -> None: + self._eof = True + self._exception = exc + if (waiter := self._waiter) is not None: + self._waiter = None + set_exception(waiter, exc, exc_cause) + + def _release_waiter(self) -> None: + if (waiter := self._waiter) is None: + return + self._waiter = None + if not waiter.done(): + waiter.set_result(None) + + def feed_eof(self) -> None: + self._eof = True + self._release_waiter() + self._exception = None # Break cyclic references + + def feed_data(self, data: "WSMessage", size: "cython_int") -> None: + self._size += size + self._put_buffer((data, size)) + self._release_waiter() + if self._size > self._limit and not self._protocol._reading_paused: + self._protocol.pause_reading() + + async def read(self) -> WSMessage: + if not self._buffer and not self._eof: + assert not self._waiter + self._waiter = self._loop.create_future() + try: + await self._waiter + except (asyncio.CancelledError, asyncio.TimeoutError): + self._waiter = None + raise + return self._read_from_buffer() + + def _read_from_buffer(self) -> WSMessage: + if self._buffer: + data, size = self._get_buffer() + self._size -= size + if self._size < self._limit and self._protocol._reading_paused: + self._protocol.resume_reading() + return data + if self._exception is not None: + raise self._exception + raise EofStream + + +class WebSocketReader: + def __init__( + self, queue: WebSocketDataQueue, max_msg_size: int, compress: bool = True + ) -> None: + self.queue = queue + self._max_msg_size = max_msg_size + + self._exc: Optional[Exception] = None + self._partial = bytearray() + self._state = READ_HEADER + + self._opcode: int = OP_CODE_NOT_SET + self._frame_fin = False + self._frame_opcode: int = OP_CODE_NOT_SET + self._payload_fragments: list[bytes] = [] + self._frame_payload_len = 0 + + self._tail: bytes = b"" + self._has_mask = False + self._frame_mask: Optional[bytes] = None + self._payload_bytes_to_read = 0 + self._payload_len_flag = 0 + self._compressed: int = COMPRESSED_NOT_SET + self._decompressobj: Optional[ZLibDecompressor] = None + self._compress = compress + + def feed_eof(self) -> None: + self.queue.feed_eof() + + # data can be bytearray on Windows because proactor event loop uses bytearray + # and asyncio types this to Union[bytes, bytearray, memoryview] so we need + # coerce data to bytes if it is not + def feed_data( + self, data: Union[bytes, bytearray, memoryview] + ) -> Tuple[bool, bytes]: + if type(data) is not bytes: + data = bytes(data) + + if self._exc is not None: + return True, data + + try: + self._feed_data(data) + except Exception as exc: + self._exc = exc + set_exception(self.queue, exc) + return EMPTY_FRAME_ERROR + + return EMPTY_FRAME + + def _handle_frame( + self, + fin: bool, + opcode: Union[int, cython_int], # Union intended: Cython pxd uses C int + payload: Union[bytes, bytearray], + compressed: Union[int, cython_int], # Union intended: Cython pxd uses C int + ) -> None: + msg: WSMessage + if opcode in {OP_CODE_TEXT, OP_CODE_BINARY, OP_CODE_CONTINUATION}: + # Validate continuation frames before processing + if opcode == OP_CODE_CONTINUATION and self._opcode == OP_CODE_NOT_SET: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "Continuation frame for non started message", + ) + + # load text/binary + if not fin: + # got partial frame payload + if opcode != OP_CODE_CONTINUATION: + self._opcode = opcode + self._partial += payload + if self._max_msg_size and len(self._partial) >= self._max_msg_size: + raise WebSocketError( + WSCloseCode.MESSAGE_TOO_BIG, + f"Message size {len(self._partial)} " + f"exceeds limit {self._max_msg_size}", + ) + return + + has_partial = bool(self._partial) + if opcode == OP_CODE_CONTINUATION: + opcode = self._opcode + self._opcode = OP_CODE_NOT_SET + # previous frame was non finished + # we should get continuation opcode + elif has_partial: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "The opcode in non-fin frame is expected " + f"to be zero, got {opcode!r}", + ) + + assembled_payload: Union[bytes, bytearray] + if has_partial: + assembled_payload = self._partial + payload + self._partial.clear() + else: + assembled_payload = payload + + if self._max_msg_size and len(assembled_payload) >= self._max_msg_size: + raise WebSocketError( + WSCloseCode.MESSAGE_TOO_BIG, + f"Message size {len(assembled_payload)} " + f"exceeds limit {self._max_msg_size}", + ) + + # Decompress process must to be done after all packets + # received. + if compressed: + if not self._decompressobj: + self._decompressobj = ZLibDecompressor(suppress_deflate_header=True) + # XXX: It's possible that the zlib backend (isal is known to + # do this, maybe others too?) will return max_length bytes, + # but internally buffer more data such that the payload is + # >max_length, so we return one extra byte and if we're able + # to do that, then the message is too big. + payload_merged = self._decompressobj.decompress_sync( + assembled_payload + WS_DEFLATE_TRAILING, + ( + self._max_msg_size + 1 + if self._max_msg_size + else self._max_msg_size + ), + ) + if self._max_msg_size and len(payload_merged) > self._max_msg_size: + raise WebSocketError( + WSCloseCode.MESSAGE_TOO_BIG, + f"Decompressed message exceeds size limit {self._max_msg_size}", + ) + elif type(assembled_payload) is bytes: + payload_merged = assembled_payload + else: + payload_merged = bytes(assembled_payload) + + if opcode == OP_CODE_TEXT: + try: + text = payload_merged.decode("utf-8") + except UnicodeDecodeError as exc: + raise WebSocketError( + WSCloseCode.INVALID_TEXT, "Invalid UTF-8 text message" + ) from exc + + # XXX: The Text and Binary messages here can be a performance + # bottleneck, so we use tuple.__new__ to improve performance. + # This is not type safe, but many tests should fail in + # test_client_ws_functional.py if this is wrong. + self.queue.feed_data( + TUPLE_NEW(WSMessage, (WS_MSG_TYPE_TEXT, text, "")), + len(payload_merged), + ) + else: + self.queue.feed_data( + TUPLE_NEW(WSMessage, (WS_MSG_TYPE_BINARY, payload_merged, "")), + len(payload_merged), + ) + elif opcode == OP_CODE_CLOSE: + if len(payload) >= 2: + close_code = UNPACK_CLOSE_CODE(payload[:2])[0] + if close_code < 3000 and close_code not in ALLOWED_CLOSE_CODES: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + f"Invalid close code: {close_code}", + ) + try: + close_message = payload[2:].decode("utf-8") + except UnicodeDecodeError as exc: + raise WebSocketError( + WSCloseCode.INVALID_TEXT, "Invalid UTF-8 text message" + ) from exc + msg = TUPLE_NEW(WSMessage, (WSMsgType.CLOSE, close_code, close_message)) + elif payload: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + f"Invalid close frame: {fin} {opcode} {payload!r}", + ) + else: + msg = TUPLE_NEW(WSMessage, (WSMsgType.CLOSE, 0, "")) + + self.queue.feed_data(msg, 0) + elif opcode == OP_CODE_PING: + msg = TUPLE_NEW(WSMessage, (WSMsgType.PING, payload, "")) + self.queue.feed_data(msg, len(payload)) + elif opcode == OP_CODE_PONG: + msg = TUPLE_NEW(WSMessage, (WSMsgType.PONG, payload, "")) + self.queue.feed_data(msg, len(payload)) + else: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, f"Unexpected opcode={opcode!r}" + ) + + def _feed_data(self, data: bytes) -> None: + """Return the next frame from the socket.""" + if self._tail: + data, self._tail = self._tail + data, b"" + + start_pos: int = 0 + data_len = len(data) + data_cstr = data + + while True: + # read header + if self._state == READ_HEADER: + if data_len - start_pos < 2: + break + first_byte = data_cstr[start_pos] + second_byte = data_cstr[start_pos + 1] + start_pos += 2 + + fin = (first_byte >> 7) & 1 + rsv1 = (first_byte >> 6) & 1 + rsv2 = (first_byte >> 5) & 1 + rsv3 = (first_byte >> 4) & 1 + opcode = first_byte & 0xF + + # frame-fin = %x0 ; more frames of this message follow + # / %x1 ; final frame of this message + # frame-rsv1 = %x0 ; + # 1 bit, MUST be 0 unless negotiated otherwise + # frame-rsv2 = %x0 ; + # 1 bit, MUST be 0 unless negotiated otherwise + # frame-rsv3 = %x0 ; + # 1 bit, MUST be 0 unless negotiated otherwise + # + # Remove rsv1 from this test for deflate development + if rsv2 or rsv3 or (rsv1 and not self._compress): + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "Received frame with non-zero reserved bits", + ) + + if opcode > 0x7 and fin == 0: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "Received fragmented control frame", + ) + + has_mask = (second_byte >> 7) & 1 + length = second_byte & 0x7F + + # Control frames MUST have a payload + # length of 125 bytes or less + if opcode > 0x7 and length > 125: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "Control frame payload cannot be larger than 125 bytes", + ) + + # Set compress status if last package is FIN + # OR set compress status if this is first fragment + # Raise error if not first fragment with rsv1 = 0x1 + if self._frame_fin or self._compressed == COMPRESSED_NOT_SET: + self._compressed = COMPRESSED_TRUE if rsv1 else COMPRESSED_FALSE + elif rsv1: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "Received frame with non-zero reserved bits", + ) + + self._frame_fin = bool(fin) + self._frame_opcode = opcode + self._has_mask = bool(has_mask) + self._payload_len_flag = length + self._state = READ_PAYLOAD_LENGTH + + # read payload length + if self._state == READ_PAYLOAD_LENGTH: + len_flag = self._payload_len_flag + if len_flag == 126: + if data_len - start_pos < 2: + break + first_byte = data_cstr[start_pos] + second_byte = data_cstr[start_pos + 1] + start_pos += 2 + self._payload_bytes_to_read = first_byte << 8 | second_byte + elif len_flag > 126: + if data_len - start_pos < 8: + break + self._payload_bytes_to_read = UNPACK_LEN3(data, start_pos)[0] + start_pos += 8 + else: + self._payload_bytes_to_read = len_flag + + self._state = READ_PAYLOAD_MASK if self._has_mask else READ_PAYLOAD + + # read payload mask + if self._state == READ_PAYLOAD_MASK: + if data_len - start_pos < 4: + break + self._frame_mask = data_cstr[start_pos : start_pos + 4] + start_pos += 4 + self._state = READ_PAYLOAD + + if self._state == READ_PAYLOAD: + chunk_len = data_len - start_pos + if self._payload_bytes_to_read >= chunk_len: + f_end_pos = data_len + self._payload_bytes_to_read -= chunk_len + else: + f_end_pos = start_pos + self._payload_bytes_to_read + self._payload_bytes_to_read = 0 + + had_fragments = self._frame_payload_len + self._frame_payload_len += f_end_pos - start_pos + f_start_pos = start_pos + start_pos = f_end_pos + + if self._payload_bytes_to_read != 0: + # If we don't have a complete frame, we need to save the + # data for the next call to feed_data. + self._payload_fragments.append(data_cstr[f_start_pos:f_end_pos]) + break + + payload: Union[bytes, bytearray] + if had_fragments: + # We have to join the payload fragments get the payload + self._payload_fragments.append(data_cstr[f_start_pos:f_end_pos]) + if self._has_mask: + assert self._frame_mask is not None + payload_bytearray = bytearray(b"".join(self._payload_fragments)) + websocket_mask(self._frame_mask, payload_bytearray) + payload = payload_bytearray + else: + payload = b"".join(self._payload_fragments) + self._payload_fragments.clear() + elif self._has_mask: + assert self._frame_mask is not None + payload_bytearray = data_cstr[f_start_pos:f_end_pos] # type: ignore[assignment] + if type(payload_bytearray) is not bytearray: # pragma: no branch + # Cython will do the conversion for us + # but we need to do it for Python and we + # will always get here in Python + payload_bytearray = bytearray(payload_bytearray) + websocket_mask(self._frame_mask, payload_bytearray) + payload = payload_bytearray + else: + payload = data_cstr[f_start_pos:f_end_pos] + + self._handle_frame( + self._frame_fin, self._frame_opcode, payload, self._compressed + ) + self._frame_payload_len = 0 + self._state = READ_HEADER + + # XXX: Cython needs slices to be bounded, so we can't omit the slice end here. + self._tail = data_cstr[start_pos:data_len] if start_pos < data_len else b"" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_py.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_py.py new file mode 100644 index 0000000000000000000000000000000000000000..5166d7ec26091a7183db7d9297511d3e62fd639c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/reader_py.py @@ -0,0 +1,478 @@ +"""Reader for WebSocket protocol versions 13 and 8.""" + +import asyncio +import builtins +from collections import deque +from typing import Deque, Final, Optional, Set, Tuple, Union + +from ..base_protocol import BaseProtocol +from ..compression_utils import ZLibDecompressor +from ..helpers import _EXC_SENTINEL, set_exception +from ..streams import EofStream +from .helpers import UNPACK_CLOSE_CODE, UNPACK_LEN3, websocket_mask +from .models import ( + WS_DEFLATE_TRAILING, + WebSocketError, + WSCloseCode, + WSMessage, + WSMsgType, +) + +ALLOWED_CLOSE_CODES: Final[Set[int]] = {int(i) for i in WSCloseCode} + +# States for the reader, used to parse the WebSocket frame +# integer values are used so they can be cythonized +READ_HEADER = 1 +READ_PAYLOAD_LENGTH = 2 +READ_PAYLOAD_MASK = 3 +READ_PAYLOAD = 4 + +WS_MSG_TYPE_BINARY = WSMsgType.BINARY +WS_MSG_TYPE_TEXT = WSMsgType.TEXT + +# WSMsgType values unpacked so they can by cythonized to ints +OP_CODE_NOT_SET = -1 +OP_CODE_CONTINUATION = WSMsgType.CONTINUATION.value +OP_CODE_TEXT = WSMsgType.TEXT.value +OP_CODE_BINARY = WSMsgType.BINARY.value +OP_CODE_CLOSE = WSMsgType.CLOSE.value +OP_CODE_PING = WSMsgType.PING.value +OP_CODE_PONG = WSMsgType.PONG.value + +EMPTY_FRAME_ERROR = (True, b"") +EMPTY_FRAME = (False, b"") + +COMPRESSED_NOT_SET = -1 +COMPRESSED_FALSE = 0 +COMPRESSED_TRUE = 1 + +TUPLE_NEW = tuple.__new__ + +cython_int = int # Typed to int in Python, but cython with use a signed int in the pxd + + +class WebSocketDataQueue: + """WebSocketDataQueue resumes and pauses an underlying stream. + + It is a destination for WebSocket data. + """ + + def __init__( + self, protocol: BaseProtocol, limit: int, *, loop: asyncio.AbstractEventLoop + ) -> None: + self._size = 0 + self._protocol = protocol + self._limit = limit * 2 + self._loop = loop + self._eof = False + self._waiter: Optional[asyncio.Future[None]] = None + self._exception: Union[BaseException, None] = None + self._buffer: Deque[Tuple[WSMessage, int]] = deque() + self._get_buffer = self._buffer.popleft + self._put_buffer = self._buffer.append + + def is_eof(self) -> bool: + return self._eof + + def exception(self) -> Optional[BaseException]: + return self._exception + + def set_exception( + self, + exc: BaseException, + exc_cause: builtins.BaseException = _EXC_SENTINEL, + ) -> None: + self._eof = True + self._exception = exc + if (waiter := self._waiter) is not None: + self._waiter = None + set_exception(waiter, exc, exc_cause) + + def _release_waiter(self) -> None: + if (waiter := self._waiter) is None: + return + self._waiter = None + if not waiter.done(): + waiter.set_result(None) + + def feed_eof(self) -> None: + self._eof = True + self._release_waiter() + self._exception = None # Break cyclic references + + def feed_data(self, data: "WSMessage", size: "cython_int") -> None: + self._size += size + self._put_buffer((data, size)) + self._release_waiter() + if self._size > self._limit and not self._protocol._reading_paused: + self._protocol.pause_reading() + + async def read(self) -> WSMessage: + if not self._buffer and not self._eof: + assert not self._waiter + self._waiter = self._loop.create_future() + try: + await self._waiter + except (asyncio.CancelledError, asyncio.TimeoutError): + self._waiter = None + raise + return self._read_from_buffer() + + def _read_from_buffer(self) -> WSMessage: + if self._buffer: + data, size = self._get_buffer() + self._size -= size + if self._size < self._limit and self._protocol._reading_paused: + self._protocol.resume_reading() + return data + if self._exception is not None: + raise self._exception + raise EofStream + + +class WebSocketReader: + def __init__( + self, queue: WebSocketDataQueue, max_msg_size: int, compress: bool = True + ) -> None: + self.queue = queue + self._max_msg_size = max_msg_size + + self._exc: Optional[Exception] = None + self._partial = bytearray() + self._state = READ_HEADER + + self._opcode: int = OP_CODE_NOT_SET + self._frame_fin = False + self._frame_opcode: int = OP_CODE_NOT_SET + self._payload_fragments: list[bytes] = [] + self._frame_payload_len = 0 + + self._tail: bytes = b"" + self._has_mask = False + self._frame_mask: Optional[bytes] = None + self._payload_bytes_to_read = 0 + self._payload_len_flag = 0 + self._compressed: int = COMPRESSED_NOT_SET + self._decompressobj: Optional[ZLibDecompressor] = None + self._compress = compress + + def feed_eof(self) -> None: + self.queue.feed_eof() + + # data can be bytearray on Windows because proactor event loop uses bytearray + # and asyncio types this to Union[bytes, bytearray, memoryview] so we need + # coerce data to bytes if it is not + def feed_data( + self, data: Union[bytes, bytearray, memoryview] + ) -> Tuple[bool, bytes]: + if type(data) is not bytes: + data = bytes(data) + + if self._exc is not None: + return True, data + + try: + self._feed_data(data) + except Exception as exc: + self._exc = exc + set_exception(self.queue, exc) + return EMPTY_FRAME_ERROR + + return EMPTY_FRAME + + def _handle_frame( + self, + fin: bool, + opcode: Union[int, cython_int], # Union intended: Cython pxd uses C int + payload: Union[bytes, bytearray], + compressed: Union[int, cython_int], # Union intended: Cython pxd uses C int + ) -> None: + msg: WSMessage + if opcode in {OP_CODE_TEXT, OP_CODE_BINARY, OP_CODE_CONTINUATION}: + # Validate continuation frames before processing + if opcode == OP_CODE_CONTINUATION and self._opcode == OP_CODE_NOT_SET: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "Continuation frame for non started message", + ) + + # load text/binary + if not fin: + # got partial frame payload + if opcode != OP_CODE_CONTINUATION: + self._opcode = opcode + self._partial += payload + if self._max_msg_size and len(self._partial) >= self._max_msg_size: + raise WebSocketError( + WSCloseCode.MESSAGE_TOO_BIG, + f"Message size {len(self._partial)} " + f"exceeds limit {self._max_msg_size}", + ) + return + + has_partial = bool(self._partial) + if opcode == OP_CODE_CONTINUATION: + opcode = self._opcode + self._opcode = OP_CODE_NOT_SET + # previous frame was non finished + # we should get continuation opcode + elif has_partial: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "The opcode in non-fin frame is expected " + f"to be zero, got {opcode!r}", + ) + + assembled_payload: Union[bytes, bytearray] + if has_partial: + assembled_payload = self._partial + payload + self._partial.clear() + else: + assembled_payload = payload + + if self._max_msg_size and len(assembled_payload) >= self._max_msg_size: + raise WebSocketError( + WSCloseCode.MESSAGE_TOO_BIG, + f"Message size {len(assembled_payload)} " + f"exceeds limit {self._max_msg_size}", + ) + + # Decompress process must to be done after all packets + # received. + if compressed: + if not self._decompressobj: + self._decompressobj = ZLibDecompressor(suppress_deflate_header=True) + # XXX: It's possible that the zlib backend (isal is known to + # do this, maybe others too?) will return max_length bytes, + # but internally buffer more data such that the payload is + # >max_length, so we return one extra byte and if we're able + # to do that, then the message is too big. + payload_merged = self._decompressobj.decompress_sync( + assembled_payload + WS_DEFLATE_TRAILING, + ( + self._max_msg_size + 1 + if self._max_msg_size + else self._max_msg_size + ), + ) + if self._max_msg_size and len(payload_merged) > self._max_msg_size: + raise WebSocketError( + WSCloseCode.MESSAGE_TOO_BIG, + f"Decompressed message exceeds size limit {self._max_msg_size}", + ) + elif type(assembled_payload) is bytes: + payload_merged = assembled_payload + else: + payload_merged = bytes(assembled_payload) + + if opcode == OP_CODE_TEXT: + try: + text = payload_merged.decode("utf-8") + except UnicodeDecodeError as exc: + raise WebSocketError( + WSCloseCode.INVALID_TEXT, "Invalid UTF-8 text message" + ) from exc + + # XXX: The Text and Binary messages here can be a performance + # bottleneck, so we use tuple.__new__ to improve performance. + # This is not type safe, but many tests should fail in + # test_client_ws_functional.py if this is wrong. + self.queue.feed_data( + TUPLE_NEW(WSMessage, (WS_MSG_TYPE_TEXT, text, "")), + len(payload_merged), + ) + else: + self.queue.feed_data( + TUPLE_NEW(WSMessage, (WS_MSG_TYPE_BINARY, payload_merged, "")), + len(payload_merged), + ) + elif opcode == OP_CODE_CLOSE: + if len(payload) >= 2: + close_code = UNPACK_CLOSE_CODE(payload[:2])[0] + if close_code < 3000 and close_code not in ALLOWED_CLOSE_CODES: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + f"Invalid close code: {close_code}", + ) + try: + close_message = payload[2:].decode("utf-8") + except UnicodeDecodeError as exc: + raise WebSocketError( + WSCloseCode.INVALID_TEXT, "Invalid UTF-8 text message" + ) from exc + msg = TUPLE_NEW(WSMessage, (WSMsgType.CLOSE, close_code, close_message)) + elif payload: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + f"Invalid close frame: {fin} {opcode} {payload!r}", + ) + else: + msg = TUPLE_NEW(WSMessage, (WSMsgType.CLOSE, 0, "")) + + self.queue.feed_data(msg, 0) + elif opcode == OP_CODE_PING: + msg = TUPLE_NEW(WSMessage, (WSMsgType.PING, payload, "")) + self.queue.feed_data(msg, len(payload)) + elif opcode == OP_CODE_PONG: + msg = TUPLE_NEW(WSMessage, (WSMsgType.PONG, payload, "")) + self.queue.feed_data(msg, len(payload)) + else: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, f"Unexpected opcode={opcode!r}" + ) + + def _feed_data(self, data: bytes) -> None: + """Return the next frame from the socket.""" + if self._tail: + data, self._tail = self._tail + data, b"" + + start_pos: int = 0 + data_len = len(data) + data_cstr = data + + while True: + # read header + if self._state == READ_HEADER: + if data_len - start_pos < 2: + break + first_byte = data_cstr[start_pos] + second_byte = data_cstr[start_pos + 1] + start_pos += 2 + + fin = (first_byte >> 7) & 1 + rsv1 = (first_byte >> 6) & 1 + rsv2 = (first_byte >> 5) & 1 + rsv3 = (first_byte >> 4) & 1 + opcode = first_byte & 0xF + + # frame-fin = %x0 ; more frames of this message follow + # / %x1 ; final frame of this message + # frame-rsv1 = %x0 ; + # 1 bit, MUST be 0 unless negotiated otherwise + # frame-rsv2 = %x0 ; + # 1 bit, MUST be 0 unless negotiated otherwise + # frame-rsv3 = %x0 ; + # 1 bit, MUST be 0 unless negotiated otherwise + # + # Remove rsv1 from this test for deflate development + if rsv2 or rsv3 or (rsv1 and not self._compress): + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "Received frame with non-zero reserved bits", + ) + + if opcode > 0x7 and fin == 0: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "Received fragmented control frame", + ) + + has_mask = (second_byte >> 7) & 1 + length = second_byte & 0x7F + + # Control frames MUST have a payload + # length of 125 bytes or less + if opcode > 0x7 and length > 125: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "Control frame payload cannot be larger than 125 bytes", + ) + + # Set compress status if last package is FIN + # OR set compress status if this is first fragment + # Raise error if not first fragment with rsv1 = 0x1 + if self._frame_fin or self._compressed == COMPRESSED_NOT_SET: + self._compressed = COMPRESSED_TRUE if rsv1 else COMPRESSED_FALSE + elif rsv1: + raise WebSocketError( + WSCloseCode.PROTOCOL_ERROR, + "Received frame with non-zero reserved bits", + ) + + self._frame_fin = bool(fin) + self._frame_opcode = opcode + self._has_mask = bool(has_mask) + self._payload_len_flag = length + self._state = READ_PAYLOAD_LENGTH + + # read payload length + if self._state == READ_PAYLOAD_LENGTH: + len_flag = self._payload_len_flag + if len_flag == 126: + if data_len - start_pos < 2: + break + first_byte = data_cstr[start_pos] + second_byte = data_cstr[start_pos + 1] + start_pos += 2 + self._payload_bytes_to_read = first_byte << 8 | second_byte + elif len_flag > 126: + if data_len - start_pos < 8: + break + self._payload_bytes_to_read = UNPACK_LEN3(data, start_pos)[0] + start_pos += 8 + else: + self._payload_bytes_to_read = len_flag + + self._state = READ_PAYLOAD_MASK if self._has_mask else READ_PAYLOAD + + # read payload mask + if self._state == READ_PAYLOAD_MASK: + if data_len - start_pos < 4: + break + self._frame_mask = data_cstr[start_pos : start_pos + 4] + start_pos += 4 + self._state = READ_PAYLOAD + + if self._state == READ_PAYLOAD: + chunk_len = data_len - start_pos + if self._payload_bytes_to_read >= chunk_len: + f_end_pos = data_len + self._payload_bytes_to_read -= chunk_len + else: + f_end_pos = start_pos + self._payload_bytes_to_read + self._payload_bytes_to_read = 0 + + had_fragments = self._frame_payload_len + self._frame_payload_len += f_end_pos - start_pos + f_start_pos = start_pos + start_pos = f_end_pos + + if self._payload_bytes_to_read != 0: + # If we don't have a complete frame, we need to save the + # data for the next call to feed_data. + self._payload_fragments.append(data_cstr[f_start_pos:f_end_pos]) + break + + payload: Union[bytes, bytearray] + if had_fragments: + # We have to join the payload fragments get the payload + self._payload_fragments.append(data_cstr[f_start_pos:f_end_pos]) + if self._has_mask: + assert self._frame_mask is not None + payload_bytearray = bytearray(b"".join(self._payload_fragments)) + websocket_mask(self._frame_mask, payload_bytearray) + payload = payload_bytearray + else: + payload = b"".join(self._payload_fragments) + self._payload_fragments.clear() + elif self._has_mask: + assert self._frame_mask is not None + payload_bytearray = data_cstr[f_start_pos:f_end_pos] # type: ignore[assignment] + if type(payload_bytearray) is not bytearray: # pragma: no branch + # Cython will do the conversion for us + # but we need to do it for Python and we + # will always get here in Python + payload_bytearray = bytearray(payload_bytearray) + websocket_mask(self._frame_mask, payload_bytearray) + payload = payload_bytearray + else: + payload = data_cstr[f_start_pos:f_end_pos] + + self._handle_frame( + self._frame_fin, self._frame_opcode, payload, self._compressed + ) + self._frame_payload_len = 0 + self._state = READ_HEADER + + # XXX: Cython needs slices to be bounded, so we can't omit the slice end here. + self._tail = data_cstr[start_pos:data_len] if start_pos < data_len else b"" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/writer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/writer.py new file mode 100644 index 0000000000000000000000000000000000000000..9604202357cddd5714242144e30f4a05c4f638fa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/_websocket/writer.py @@ -0,0 +1,262 @@ +"""WebSocket protocol versions 13 and 8.""" + +import asyncio +import random +import sys +from functools import partial +from typing import Final, Optional, Set, Union + +from ..base_protocol import BaseProtocol +from ..client_exceptions import ClientConnectionResetError +from ..compression_utils import ZLibBackend, ZLibCompressor +from .helpers import ( + MASK_LEN, + MSG_SIZE, + PACK_CLOSE_CODE, + PACK_LEN1, + PACK_LEN2, + PACK_LEN3, + PACK_RANDBITS, + websocket_mask, +) +from .models import WS_DEFLATE_TRAILING, WSMsgType + +DEFAULT_LIMIT: Final[int] = 2**16 + +# WebSocket opcode boundary: opcodes 0-7 are data frames, 8-15 are control frames +# Control frames (ping, pong, close) are never compressed +WS_CONTROL_FRAME_OPCODE: Final[int] = 8 + +# For websockets, keeping latency low is extremely important as implementations +# generally expect to be able to send and receive messages quickly. We use a +# larger chunk size to reduce the number of executor calls and avoid task +# creation overhead, since both are significant sources of latency when chunks +# are small. A size of 16KiB was chosen as a balance between avoiding task +# overhead and not blocking the event loop too long with synchronous compression. + +WEBSOCKET_MAX_SYNC_CHUNK_SIZE = 16 * 1024 + + +class WebSocketWriter: + """WebSocket writer. + + The writer is responsible for sending messages to the client. It is + created by the protocol when a connection is established. The writer + should avoid implementing any application logic and should only be + concerned with the low-level details of the WebSocket protocol. + """ + + def __init__( + self, + protocol: BaseProtocol, + transport: asyncio.Transport, + *, + use_mask: bool = False, + limit: int = DEFAULT_LIMIT, + random: random.Random = random.Random(), + compress: int = 0, + notakeover: bool = False, + ) -> None: + """Initialize a WebSocket writer.""" + self.protocol = protocol + self.transport = transport + self.use_mask = use_mask + self.get_random_bits = partial(random.getrandbits, 32) + self.compress = compress + self.notakeover = notakeover + self._closing = False + self._limit = limit + self._output_size = 0 + self._compressobj: Optional[ZLibCompressor] = None + self._send_lock = asyncio.Lock() + self._background_tasks: Set[asyncio.Task[None]] = set() + + async def send_frame( + self, message: bytes, opcode: int, compress: Optional[int] = None + ) -> None: + """Send a frame over the websocket with message as its payload.""" + if self._closing and not (opcode & WSMsgType.CLOSE): + raise ClientConnectionResetError("Cannot write to closing transport") + + if not (compress or self.compress) or opcode >= WS_CONTROL_FRAME_OPCODE: + # Non-compressed frames don't need lock or shield + self._write_websocket_frame(message, opcode, 0) + elif len(message) <= WEBSOCKET_MAX_SYNC_CHUNK_SIZE: + # Small compressed payloads - compress synchronously in event loop + # We need the lock even though sync compression has no await points. + # This prevents small frames from interleaving with large frames that + # compress in the executor, avoiding compressor state corruption. + async with self._send_lock: + self._send_compressed_frame_sync(message, opcode, compress) + else: + # Large compressed frames need shield to prevent corruption + # For large compressed frames, the entire compress+send + # operation must be atomic. If cancelled after compression but + # before send, the compressor state would be advanced but data + # not sent, corrupting subsequent frames. + # Create a task to shield from cancellation + # The lock is acquired inside the shielded task so the entire + # operation (lock + compress + send) completes atomically. + # Use eager_start on Python 3.12+ to avoid scheduling overhead + loop = asyncio.get_running_loop() + coro = self._send_compressed_frame_async_locked(message, opcode, compress) + if sys.version_info >= (3, 12): + send_task = asyncio.Task(coro, loop=loop, eager_start=True) + else: + send_task = loop.create_task(coro) + # Keep a strong reference to prevent garbage collection + self._background_tasks.add(send_task) + send_task.add_done_callback(self._background_tasks.discard) + await asyncio.shield(send_task) + + # It is safe to return control to the event loop when using compression + # after this point as we have already sent or buffered all the data. + # Once we have written output_size up to the limit, we call the + # drain helper which waits for the transport to be ready to accept + # more data. This is a flow control mechanism to prevent the buffer + # from growing too large. The drain helper will return right away + # if the writer is not paused. + if self._output_size > self._limit: + self._output_size = 0 + if self.protocol._paused: + await self.protocol._drain_helper() + + def _write_websocket_frame(self, message: bytes, opcode: int, rsv: int) -> None: + """ + Write a websocket frame to the transport. + + This method handles frame header construction, masking, and writing to transport. + It does not handle compression or flow control - those are the responsibility + of the caller. + """ + msg_length = len(message) + + use_mask = self.use_mask + mask_bit = 0x80 if use_mask else 0 + + # Depending on the message length, the header is assembled differently. + # The first byte is reserved for the opcode and the RSV bits. + first_byte = 0x80 | rsv | opcode + if msg_length < 126: + header = PACK_LEN1(first_byte, msg_length | mask_bit) + header_len = 2 + elif msg_length < 65536: + header = PACK_LEN2(first_byte, 126 | mask_bit, msg_length) + header_len = 4 + else: + header = PACK_LEN3(first_byte, 127 | mask_bit, msg_length) + header_len = 10 + + if self.transport.is_closing(): + raise ClientConnectionResetError("Cannot write to closing transport") + + # https://datatracker.ietf.org/doc/html/rfc6455#section-5.3 + # If we are using a mask, we need to generate it randomly + # and apply it to the message before sending it. A mask is + # a 32-bit value that is applied to the message using a + # bitwise XOR operation. It is used to prevent certain types + # of attacks on the websocket protocol. The mask is only used + # when aiohttp is acting as a client. Servers do not use a mask. + if use_mask: + mask = PACK_RANDBITS(self.get_random_bits()) + message = bytearray(message) + websocket_mask(mask, message) + self.transport.write(header + mask + message) + self._output_size += MASK_LEN + elif msg_length > MSG_SIZE: + self.transport.write(header) + self.transport.write(message) + else: + self.transport.write(header + message) + + self._output_size += header_len + msg_length + + def _get_compressor(self, compress: Optional[int]) -> ZLibCompressor: + """Get or create a compressor object for the given compression level.""" + if compress: + # Do not set self._compress if compressing is for this frame + return ZLibCompressor( + level=ZLibBackend.Z_BEST_SPEED, + wbits=-compress, + max_sync_chunk_size=WEBSOCKET_MAX_SYNC_CHUNK_SIZE, + ) + if not self._compressobj: + self._compressobj = ZLibCompressor( + level=ZLibBackend.Z_BEST_SPEED, + wbits=-self.compress, + max_sync_chunk_size=WEBSOCKET_MAX_SYNC_CHUNK_SIZE, + ) + return self._compressobj + + def _send_compressed_frame_sync( + self, message: bytes, opcode: int, compress: Optional[int] + ) -> None: + """ + Synchronous send for small compressed frames. + + This is used for small compressed payloads that compress synchronously in the event loop. + Since there are no await points, this is inherently cancellation-safe. + """ + # RSV are the reserved bits in the frame header. They are used to + # indicate that the frame is using an extension. + # https://datatracker.ietf.org/doc/html/rfc6455#section-5.2 + compressobj = self._get_compressor(compress) + # (0x40) RSV1 is set for compressed frames + # https://datatracker.ietf.org/doc/html/rfc7692#section-7.2.3.1 + self._write_websocket_frame( + ( + compressobj.compress_sync(message) + + compressobj.flush( + ZLibBackend.Z_FULL_FLUSH + if self.notakeover + else ZLibBackend.Z_SYNC_FLUSH + ) + ).removesuffix(WS_DEFLATE_TRAILING), + opcode, + 0x40, + ) + + async def _send_compressed_frame_async_locked( + self, message: bytes, opcode: int, compress: Optional[int] + ) -> None: + """ + Async send for large compressed frames with lock. + + Acquires the lock and compresses large payloads asynchronously in + the executor. The lock is held for the entire operation to ensure + the compressor state is not corrupted by concurrent sends. + + MUST be run shielded from cancellation. If cancelled after + compression but before sending, the compressor state would be + advanced but data not sent, corrupting subsequent frames. + """ + async with self._send_lock: + # RSV are the reserved bits in the frame header. They are used to + # indicate that the frame is using an extension. + # https://datatracker.ietf.org/doc/html/rfc6455#section-5.2 + compressobj = self._get_compressor(compress) + # (0x40) RSV1 is set for compressed frames + # https://datatracker.ietf.org/doc/html/rfc7692#section-7.2.3.1 + self._write_websocket_frame( + ( + await compressobj.compress(message) + + compressobj.flush( + ZLibBackend.Z_FULL_FLUSH + if self.notakeover + else ZLibBackend.Z_SYNC_FLUSH + ) + ).removesuffix(WS_DEFLATE_TRAILING), + opcode, + 0x40, + ) + + async def close(self, code: int = 1000, message: Union[bytes, str] = b"") -> None: + """Close the websocket, sending the specified code and message.""" + if isinstance(message, str): + message = message.encode("utf-8") + try: + await self.send_frame( + PACK_CLOSE_CODE(code) + message, opcode=WSMsgType.CLOSE + ) + finally: + self._closing = True diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/abc.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/abc.py new file mode 100644 index 0000000000000000000000000000000000000000..faf09575afbb2d6842ad639dada0fdebc2e28945 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/abc.py @@ -0,0 +1,268 @@ +import asyncio +import logging +import socket +from abc import ABC, abstractmethod +from collections.abc import Sized +from http.cookies import BaseCookie, Morsel +from typing import ( + TYPE_CHECKING, + Any, + Awaitable, + Callable, + Dict, + Generator, + Iterable, + List, + Optional, + Sequence, + Tuple, + TypedDict, + Union, +) + +from multidict import CIMultiDict +from yarl import URL + +from ._cookie_helpers import parse_set_cookie_headers +from .typedefs import LooseCookies + +if TYPE_CHECKING: + from .web_app import Application + from .web_exceptions import HTTPException + from .web_request import BaseRequest, Request + from .web_response import StreamResponse +else: + BaseRequest = Request = Application = StreamResponse = None + HTTPException = None + + +class AbstractRouter(ABC): + def __init__(self) -> None: + self._frozen = False + + def post_init(self, app: Application) -> None: + """Post init stage. + + Not an abstract method for sake of backward compatibility, + but if the router wants to be aware of the application + it can override this. + """ + + @property + def frozen(self) -> bool: + return self._frozen + + def freeze(self) -> None: + """Freeze router.""" + self._frozen = True + + @abstractmethod + async def resolve(self, request: Request) -> "AbstractMatchInfo": + """Return MATCH_INFO for given request""" + + +class AbstractMatchInfo(ABC): + + __slots__ = () + + @property # pragma: no branch + @abstractmethod + def handler(self) -> Callable[[Request], Awaitable[StreamResponse]]: + """Execute matched request handler""" + + @property + @abstractmethod + def expect_handler( + self, + ) -> Callable[[Request], Awaitable[Optional[StreamResponse]]]: + """Expect handler for 100-continue processing""" + + @property # pragma: no branch + @abstractmethod + def http_exception(self) -> Optional[HTTPException]: + """HTTPException instance raised on router's resolving, or None""" + + @abstractmethod # pragma: no branch + def get_info(self) -> Dict[str, Any]: + """Return a dict with additional info useful for introspection""" + + @property # pragma: no branch + @abstractmethod + def apps(self) -> Tuple[Application, ...]: + """Stack of nested applications. + + Top level application is left-most element. + + """ + + @abstractmethod + def add_app(self, app: Application) -> None: + """Add application to the nested apps stack.""" + + @abstractmethod + def freeze(self) -> None: + """Freeze the match info. + + The method is called after route resolution. + + After the call .add_app() is forbidden. + + """ + + +class AbstractView(ABC): + """Abstract class based view.""" + + def __init__(self, request: Request) -> None: + self._request = request + + @property + def request(self) -> Request: + """Request instance.""" + return self._request + + @abstractmethod + def __await__(self) -> Generator[None, None, StreamResponse]: + """Execute the view handler.""" + + +class ResolveResult(TypedDict): + """Resolve result. + + This is the result returned from an AbstractResolver's + resolve method. + + :param hostname: The hostname that was provided. + :param host: The IP address that was resolved. + :param port: The port that was resolved. + :param family: The address family that was resolved. + :param proto: The protocol that was resolved. + :param flags: The flags that were resolved. + """ + + hostname: str + host: str + port: int + family: int + proto: int + flags: int + + +class AbstractResolver(ABC): + """Abstract DNS resolver.""" + + @abstractmethod + async def resolve( + self, host: str, port: int = 0, family: socket.AddressFamily = socket.AF_INET + ) -> List[ResolveResult]: + """Return IP address for given hostname""" + + @abstractmethod + async def close(self) -> None: + """Release resolver""" + + +if TYPE_CHECKING: + IterableBase = Iterable[Morsel[str]] +else: + IterableBase = Iterable + + +ClearCookiePredicate = Callable[["Morsel[str]"], bool] + + +class AbstractCookieJar(Sized, IterableBase): + """Abstract Cookie Jar.""" + + def __init__(self, *, loop: Optional[asyncio.AbstractEventLoop] = None) -> None: + self._loop = loop or asyncio.get_running_loop() + + @property + @abstractmethod + def quote_cookie(self) -> bool: + """Return True if cookies should be quoted.""" + + @abstractmethod + def clear(self, predicate: Optional[ClearCookiePredicate] = None) -> None: + """Clear all cookies if no predicate is passed.""" + + @abstractmethod + def clear_domain(self, domain: str) -> None: + """Clear all cookies for domain and all subdomains.""" + + @abstractmethod + def update_cookies(self, cookies: LooseCookies, response_url: URL = URL()) -> None: + """Update cookies.""" + + def update_cookies_from_headers( + self, headers: Sequence[str], response_url: URL + ) -> None: + """Update cookies from raw Set-Cookie headers.""" + if headers and (cookies_to_update := parse_set_cookie_headers(headers)): + self.update_cookies(cookies_to_update, response_url) + + @abstractmethod + def filter_cookies(self, request_url: URL) -> "BaseCookie[str]": + """Return the jar's cookies filtered by their attributes.""" + + +class AbstractStreamWriter(ABC): + """Abstract stream writer.""" + + buffer_size: int = 0 + output_size: int = 0 + length: Optional[int] = 0 + + @abstractmethod + async def write(self, chunk: Union[bytes, bytearray, memoryview]) -> None: + """Write chunk into stream.""" + + @abstractmethod + async def write_eof(self, chunk: bytes = b"") -> None: + """Write last chunk.""" + + @abstractmethod + async def drain(self) -> None: + """Flush the write buffer.""" + + @abstractmethod + def enable_compression( + self, encoding: str = "deflate", strategy: Optional[int] = None + ) -> None: + """Enable HTTP body compression""" + + @abstractmethod + def enable_chunking(self) -> None: + """Enable HTTP chunked mode""" + + @abstractmethod + async def write_headers( + self, status_line: str, headers: "CIMultiDict[str]" + ) -> None: + """Write HTTP headers""" + + def send_headers(self) -> None: + """Force sending buffered headers if not already sent. + + Required only if write_headers() buffers headers instead of sending immediately. + For backwards compatibility, this method does nothing by default. + """ + + +class AbstractAccessLogger(ABC): + """Abstract writer to access log.""" + + __slots__ = ("logger", "log_format") + + def __init__(self, logger: logging.Logger, log_format: str) -> None: + self.logger = logger + self.log_format = log_format + + @abstractmethod + def log(self, request: BaseRequest, response: StreamResponse, time: float) -> None: + """Emit log to logger.""" + + @property + def enabled(self) -> bool: + """Check if logger is enabled.""" + return True diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/base_protocol.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/base_protocol.py new file mode 100644 index 0000000000000000000000000000000000000000..b0a67ed6ff68ca5bc48be9ac472ee755369b2720 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/base_protocol.py @@ -0,0 +1,100 @@ +import asyncio +from typing import Optional, cast + +from .client_exceptions import ClientConnectionResetError +from .helpers import set_exception +from .tcp_helpers import tcp_nodelay + + +class BaseProtocol(asyncio.Protocol): + __slots__ = ( + "_loop", + "_paused", + "_drain_waiter", + "_connection_lost", + "_reading_paused", + "transport", + ) + + def __init__(self, loop: asyncio.AbstractEventLoop) -> None: + self._loop: asyncio.AbstractEventLoop = loop + self._paused = False + self._drain_waiter: Optional[asyncio.Future[None]] = None + self._reading_paused = False + + self.transport: Optional[asyncio.Transport] = None + + @property + def connected(self) -> bool: + """Return True if the connection is open.""" + return self.transport is not None + + @property + def writing_paused(self) -> bool: + return self._paused + + def pause_writing(self) -> None: + assert not self._paused + self._paused = True + + def resume_writing(self) -> None: + assert self._paused + self._paused = False + + waiter = self._drain_waiter + if waiter is not None: + self._drain_waiter = None + if not waiter.done(): + waiter.set_result(None) + + def pause_reading(self) -> None: + if not self._reading_paused and self.transport is not None: + try: + self.transport.pause_reading() + except (AttributeError, NotImplementedError, RuntimeError): + pass + self._reading_paused = True + + def resume_reading(self) -> None: + if self._reading_paused and self.transport is not None: + try: + self.transport.resume_reading() + except (AttributeError, NotImplementedError, RuntimeError): + pass + self._reading_paused = False + + def connection_made(self, transport: asyncio.BaseTransport) -> None: + tr = cast(asyncio.Transport, transport) + tcp_nodelay(tr, True) + self.transport = tr + + def connection_lost(self, exc: Optional[BaseException]) -> None: + # Wake up the writer if currently paused. + self.transport = None + if not self._paused: + return + waiter = self._drain_waiter + if waiter is None: + return + self._drain_waiter = None + if waiter.done(): + return + if exc is None: + waiter.set_result(None) + else: + set_exception( + waiter, + ConnectionError("Connection lost"), + exc, + ) + + async def _drain_helper(self) -> None: + if self.transport is None: + raise ClientConnectionResetError("Connection lost") + if not self._paused: + return + waiter = self._drain_waiter + if waiter is None: + waiter = self._loop.create_future() + self._drain_waiter = waiter + await asyncio.shield(waiter) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client.py new file mode 100644 index 0000000000000000000000000000000000000000..bc4ee17caf088e6148b72a5daa5e854a269732eb --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client.py @@ -0,0 +1,1635 @@ +"""HTTP Client for asyncio.""" + +import asyncio +import base64 +import hashlib +import json +import os +import sys +import traceback +import warnings +from contextlib import suppress +from types import TracebackType +from typing import ( + TYPE_CHECKING, + Any, + Awaitable, + Callable, + Coroutine, + Final, + FrozenSet, + Generator, + Generic, + Iterable, + List, + Mapping, + Optional, + Sequence, + Set, + Tuple, + Type, + TypedDict, + TypeVar, + Union, +) + +import attr +from multidict import CIMultiDict, MultiDict, MultiDictProxy, istr +from yarl import URL + +from . import hdrs, http, payload +from ._websocket.reader import WebSocketDataQueue +from .abc import AbstractCookieJar +from .client_exceptions import ( + ClientConnectionError, + ClientConnectionResetError, + ClientConnectorCertificateError, + ClientConnectorDNSError, + ClientConnectorError, + ClientConnectorSSLError, + ClientError, + ClientHttpProxyError, + ClientOSError, + ClientPayloadError, + ClientProxyConnectionError, + ClientResponseError, + ClientSSLError, + ConnectionTimeoutError, + ContentTypeError, + InvalidURL, + InvalidUrlClientError, + InvalidUrlRedirectClientError, + NonHttpUrlClientError, + NonHttpUrlRedirectClientError, + RedirectClientError, + ServerConnectionError, + ServerDisconnectedError, + ServerFingerprintMismatch, + ServerTimeoutError, + SocketTimeoutError, + TooManyRedirects, + WSMessageTypeError, + WSServerHandshakeError, +) +from .client_middlewares import ClientMiddlewareType, build_client_middlewares +from .client_reqrep import ( + ClientRequest as ClientRequest, + ClientResponse as ClientResponse, + Fingerprint as Fingerprint, + RequestInfo as RequestInfo, + _merge_ssl_params, +) +from .client_ws import ( + DEFAULT_WS_CLIENT_TIMEOUT, + ClientWebSocketResponse as ClientWebSocketResponse, + ClientWSTimeout as ClientWSTimeout, +) +from .connector import ( + HTTP_AND_EMPTY_SCHEMA_SET, + BaseConnector as BaseConnector, + NamedPipeConnector as NamedPipeConnector, + TCPConnector as TCPConnector, + UnixConnector as UnixConnector, +) +from .cookiejar import CookieJar +from .helpers import ( + _SENTINEL, + DEBUG, + EMPTY_BODY_METHODS, + BasicAuth, + TimeoutHandle, + basicauth_from_netrc, + get_env_proxy_for_url, + netrc_from_env, + sentinel, + strip_auth_from_url, +) +from .http import WS_KEY, HttpVersion, WebSocketReader, WebSocketWriter +from .http_websocket import WSHandshakeError, ws_ext_gen, ws_ext_parse +from .tracing import Trace, TraceConfig +from .typedefs import JSONEncoder, LooseCookies, LooseHeaders, Query, StrOrURL + +__all__ = ( + # client_exceptions + "ClientConnectionError", + "ClientConnectionResetError", + "ClientConnectorCertificateError", + "ClientConnectorDNSError", + "ClientConnectorError", + "ClientConnectorSSLError", + "ClientError", + "ClientHttpProxyError", + "ClientOSError", + "ClientPayloadError", + "ClientProxyConnectionError", + "ClientResponseError", + "ClientSSLError", + "ConnectionTimeoutError", + "ContentTypeError", + "InvalidURL", + "InvalidUrlClientError", + "RedirectClientError", + "NonHttpUrlClientError", + "InvalidUrlRedirectClientError", + "NonHttpUrlRedirectClientError", + "ServerConnectionError", + "ServerDisconnectedError", + "ServerFingerprintMismatch", + "ServerTimeoutError", + "SocketTimeoutError", + "TooManyRedirects", + "WSServerHandshakeError", + # client_reqrep + "ClientRequest", + "ClientResponse", + "Fingerprint", + "RequestInfo", + # connector + "BaseConnector", + "TCPConnector", + "UnixConnector", + "NamedPipeConnector", + # client_ws + "ClientWebSocketResponse", + # client + "ClientSession", + "ClientTimeout", + "ClientWSTimeout", + "request", + "WSMessageTypeError", +) + + +if TYPE_CHECKING: + from ssl import SSLContext +else: + SSLContext = None + +if sys.version_info >= (3, 11) and TYPE_CHECKING: + from typing import Unpack + + +class _RequestOptions(TypedDict, total=False): + params: Query + data: Any + json: Any + cookies: Union[LooseCookies, None] + headers: Union[LooseHeaders, None] + skip_auto_headers: Union[Iterable[str], None] + auth: Union[BasicAuth, None] + allow_redirects: bool + max_redirects: int + compress: Union[str, bool, None] + chunked: Union[bool, None] + expect100: bool + raise_for_status: Union[None, bool, Callable[[ClientResponse], Awaitable[None]]] + read_until_eof: bool + proxy: Union[StrOrURL, None] + proxy_auth: Union[BasicAuth, None] + timeout: "Union[ClientTimeout, _SENTINEL, None]" + ssl: Union[SSLContext, bool, Fingerprint] + server_hostname: Union[str, None] + proxy_headers: Union[LooseHeaders, None] + trace_request_ctx: Union[Mapping[str, Any], None] + read_bufsize: Union[int, None] + auto_decompress: Union[bool, None] + max_line_size: Union[int, None] + max_field_size: Union[int, None] + middlewares: Optional[Sequence[ClientMiddlewareType]] + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class ClientTimeout: + total: Optional[float] = None + connect: Optional[float] = None + sock_read: Optional[float] = None + sock_connect: Optional[float] = None + ceil_threshold: float = 5 + + # pool_queue_timeout: Optional[float] = None + # dns_resolution_timeout: Optional[float] = None + # socket_connect_timeout: Optional[float] = None + # connection_acquiring_timeout: Optional[float] = None + # new_connection_timeout: Optional[float] = None + # http_header_timeout: Optional[float] = None + # response_body_timeout: Optional[float] = None + + # to create a timeout specific for a single request, either + # - create a completely new one to overwrite the default + # - or use http://www.attrs.org/en/stable/api.html#attr.evolve + # to overwrite the defaults + + +# 5 Minute default read timeout +DEFAULT_TIMEOUT: Final[ClientTimeout] = ClientTimeout(total=5 * 60, sock_connect=30) + +# https://www.rfc-editor.org/rfc/rfc9110#section-9.2.2 +IDEMPOTENT_METHODS = frozenset({"GET", "HEAD", "OPTIONS", "TRACE", "PUT", "DELETE"}) + +_RetType = TypeVar("_RetType", ClientResponse, ClientWebSocketResponse) +_CharsetResolver = Callable[[ClientResponse, bytes], str] + + +class ClientSession: + """First-class interface for making HTTP requests.""" + + ATTRS = frozenset( + [ + "_base_url", + "_base_url_origin", + "_source_traceback", + "_connector", + "_loop", + "_cookie_jar", + "_connector_owner", + "_default_auth", + "_version", + "_json_serialize", + "_requote_redirect_url", + "_timeout", + "_raise_for_status", + "_auto_decompress", + "_trust_env", + "_default_headers", + "_skip_auto_headers", + "_request_class", + "_response_class", + "_ws_response_class", + "_trace_configs", + "_read_bufsize", + "_max_line_size", + "_max_field_size", + "_resolve_charset", + "_default_proxy", + "_default_proxy_auth", + "_retry_connection", + "_middlewares", + "requote_redirect_url", + ] + ) + + _source_traceback: Optional[traceback.StackSummary] = None + _connector: Optional[BaseConnector] = None + + def __init__( + self, + base_url: Optional[StrOrURL] = None, + *, + connector: Optional[BaseConnector] = None, + loop: Optional[asyncio.AbstractEventLoop] = None, + cookies: Optional[LooseCookies] = None, + headers: Optional[LooseHeaders] = None, + proxy: Optional[StrOrURL] = None, + proxy_auth: Optional[BasicAuth] = None, + skip_auto_headers: Optional[Iterable[str]] = None, + auth: Optional[BasicAuth] = None, + json_serialize: JSONEncoder = json.dumps, + request_class: Type[ClientRequest] = ClientRequest, + response_class: Type[ClientResponse] = ClientResponse, + ws_response_class: Type[ClientWebSocketResponse] = ClientWebSocketResponse, + version: HttpVersion = http.HttpVersion11, + cookie_jar: Optional[AbstractCookieJar] = None, + connector_owner: bool = True, + raise_for_status: Union[ + bool, Callable[[ClientResponse], Awaitable[None]] + ] = False, + read_timeout: Union[float, _SENTINEL] = sentinel, + conn_timeout: Optional[float] = None, + timeout: Union[object, ClientTimeout] = sentinel, + auto_decompress: bool = True, + trust_env: bool = False, + requote_redirect_url: bool = True, + trace_configs: Optional[List[TraceConfig]] = None, + read_bufsize: int = 2**16, + max_line_size: int = 8190, + max_field_size: int = 8190, + fallback_charset_resolver: _CharsetResolver = lambda r, b: "utf-8", + middlewares: Sequence[ClientMiddlewareType] = (), + ssl_shutdown_timeout: Union[_SENTINEL, None, float] = sentinel, + ) -> None: + # We initialise _connector to None immediately, as it's referenced in __del__() + # and could cause issues if an exception occurs during initialisation. + self._connector: Optional[BaseConnector] = None + + if loop is None: + if connector is not None: + loop = connector._loop + + loop = loop or asyncio.get_running_loop() + + if base_url is None or isinstance(base_url, URL): + self._base_url: Optional[URL] = base_url + self._base_url_origin = None if base_url is None else base_url.origin() + else: + self._base_url = URL(base_url) + self._base_url_origin = self._base_url.origin() + assert self._base_url.absolute, "Only absolute URLs are supported" + if self._base_url is not None and not self._base_url.path.endswith("/"): + raise ValueError("base_url must have a trailing '/'") + + if timeout is sentinel or timeout is None: + self._timeout = DEFAULT_TIMEOUT + if read_timeout is not sentinel: + warnings.warn( + "read_timeout is deprecated, use timeout argument instead", + DeprecationWarning, + stacklevel=2, + ) + self._timeout = attr.evolve(self._timeout, total=read_timeout) + if conn_timeout is not None: + self._timeout = attr.evolve(self._timeout, connect=conn_timeout) + warnings.warn( + "conn_timeout is deprecated, use timeout argument instead", + DeprecationWarning, + stacklevel=2, + ) + else: + if not isinstance(timeout, ClientTimeout): + raise ValueError( + f"timeout parameter cannot be of {type(timeout)} type, " + "please use 'timeout=ClientTimeout(...)'", + ) + self._timeout = timeout + if read_timeout is not sentinel: + raise ValueError( + "read_timeout and timeout parameters " + "conflict, please setup " + "timeout.read" + ) + if conn_timeout is not None: + raise ValueError( + "conn_timeout and timeout parameters " + "conflict, please setup " + "timeout.connect" + ) + + if ssl_shutdown_timeout is not sentinel: + warnings.warn( + "The ssl_shutdown_timeout parameter is deprecated and will be removed in aiohttp 4.0", + DeprecationWarning, + stacklevel=2, + ) + + if connector is None: + connector = TCPConnector( + loop=loop, ssl_shutdown_timeout=ssl_shutdown_timeout + ) + + if connector._loop is not loop: + raise RuntimeError("Session and connector has to use same event loop") + + self._loop = loop + + if loop.get_debug(): + self._source_traceback = traceback.extract_stack(sys._getframe(1)) + + if cookie_jar is None: + cookie_jar = CookieJar(loop=loop) + self._cookie_jar = cookie_jar + + if cookies: + self._cookie_jar.update_cookies(cookies) + + self._connector = connector + self._connector_owner = connector_owner + self._default_auth = auth + self._version = version + self._json_serialize = json_serialize + self._raise_for_status = raise_for_status + self._auto_decompress = auto_decompress + self._trust_env = trust_env + self._requote_redirect_url = requote_redirect_url + self._read_bufsize = read_bufsize + self._max_line_size = max_line_size + self._max_field_size = max_field_size + + # Convert to list of tuples + if headers: + real_headers: CIMultiDict[str] = CIMultiDict(headers) + else: + real_headers = CIMultiDict() + self._default_headers: CIMultiDict[str] = real_headers + if skip_auto_headers is not None: + self._skip_auto_headers = frozenset(istr(i) for i in skip_auto_headers) + else: + self._skip_auto_headers = frozenset() + + self._request_class = request_class + self._response_class = response_class + self._ws_response_class = ws_response_class + + self._trace_configs = trace_configs or [] + for trace_config in self._trace_configs: + trace_config.freeze() + + self._resolve_charset = fallback_charset_resolver + + self._default_proxy = proxy + self._default_proxy_auth = proxy_auth + self._retry_connection: bool = True + self._middlewares = middlewares + + def __init_subclass__(cls: Type["ClientSession"]) -> None: + warnings.warn( + "Inheritance class {} from ClientSession " + "is discouraged".format(cls.__name__), + DeprecationWarning, + stacklevel=2, + ) + + if DEBUG: + + def __setattr__(self, name: str, val: Any) -> None: + if name not in self.ATTRS: + warnings.warn( + "Setting custom ClientSession.{} attribute " + "is discouraged".format(name), + DeprecationWarning, + stacklevel=2, + ) + super().__setattr__(name, val) + + def __del__(self, _warnings: Any = warnings) -> None: + if not self.closed: + kwargs = {"source": self} + _warnings.warn( + f"Unclosed client session {self!r}", ResourceWarning, **kwargs + ) + context = {"client_session": self, "message": "Unclosed client session"} + if self._source_traceback is not None: + context["source_traceback"] = self._source_traceback + self._loop.call_exception_handler(context) + + if sys.version_info >= (3, 11) and TYPE_CHECKING: + + def request( + self, + method: str, + url: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> "_RequestContextManager": ... + + else: + + def request( + self, method: str, url: StrOrURL, **kwargs: Any + ) -> "_RequestContextManager": + """Perform HTTP request.""" + return _RequestContextManager(self._request(method, url, **kwargs)) + + def _build_url(self, str_or_url: StrOrURL) -> URL: + url = URL(str_or_url) + if self._base_url and not url.absolute: + return self._base_url.join(url) + return url + + async def _request( + self, + method: str, + str_or_url: StrOrURL, + *, + params: Query = None, + data: Any = None, + json: Any = None, + cookies: Optional[LooseCookies] = None, + headers: Optional[LooseHeaders] = None, + skip_auto_headers: Optional[Iterable[str]] = None, + auth: Optional[BasicAuth] = None, + allow_redirects: bool = True, + max_redirects: int = 10, + compress: Union[str, bool, None] = None, + chunked: Optional[bool] = None, + expect100: bool = False, + raise_for_status: Union[ + None, bool, Callable[[ClientResponse], Awaitable[None]] + ] = None, + read_until_eof: bool = True, + proxy: Optional[StrOrURL] = None, + proxy_auth: Optional[BasicAuth] = None, + timeout: Union[ClientTimeout, _SENTINEL] = sentinel, + verify_ssl: Optional[bool] = None, + fingerprint: Optional[bytes] = None, + ssl_context: Optional[SSLContext] = None, + ssl: Union[SSLContext, bool, Fingerprint] = True, + server_hostname: Optional[str] = None, + proxy_headers: Optional[LooseHeaders] = None, + trace_request_ctx: Optional[Mapping[str, Any]] = None, + read_bufsize: Optional[int] = None, + auto_decompress: Optional[bool] = None, + max_line_size: Optional[int] = None, + max_field_size: Optional[int] = None, + middlewares: Optional[Sequence[ClientMiddlewareType]] = None, + ) -> ClientResponse: + + # NOTE: timeout clamps existing connect and read timeouts. We cannot + # set the default to None because we need to detect if the user wants + # to use the existing timeouts by setting timeout to None. + + if self.closed: + raise RuntimeError("Session is closed") + + ssl = _merge_ssl_params(ssl, verify_ssl, ssl_context, fingerprint) + + if data is not None and json is not None: + raise ValueError( + "data and json parameters can not be used at the same time" + ) + elif json is not None: + data = payload.JsonPayload(json, dumps=self._json_serialize) + + if not isinstance(chunked, bool) and chunked is not None: + warnings.warn("Chunk size is deprecated #1615", DeprecationWarning) + + redirects = 0 + history: List[ClientResponse] = [] + version = self._version + params = params or {} + + # Merge with default headers and transform to CIMultiDict + headers = self._prepare_headers(headers) + + try: + url = self._build_url(str_or_url) + except ValueError as e: + raise InvalidUrlClientError(str_or_url) from e + + assert self._connector is not None + if url.scheme not in self._connector.allowed_protocol_schema_set: + raise NonHttpUrlClientError(url) + + skip_headers: Optional[Iterable[istr]] + if skip_auto_headers is not None: + skip_headers = { + istr(i) for i in skip_auto_headers + } | self._skip_auto_headers + elif self._skip_auto_headers: + skip_headers = self._skip_auto_headers + else: + skip_headers = None + + if proxy is None: + proxy = self._default_proxy + if proxy_auth is None: + proxy_auth = self._default_proxy_auth + + if proxy is None: + proxy_headers = None + else: + proxy_headers = self._prepare_headers(proxy_headers) + try: + proxy = URL(proxy) + except ValueError as e: + raise InvalidURL(proxy) from e + + if timeout is sentinel: + real_timeout: ClientTimeout = self._timeout + else: + if not isinstance(timeout, ClientTimeout): + real_timeout = ClientTimeout(total=timeout) + else: + real_timeout = timeout + # timeout is cumulative for all request operations + # (request, redirects, responses, data consuming) + tm = TimeoutHandle( + self._loop, real_timeout.total, ceil_threshold=real_timeout.ceil_threshold + ) + handle = tm.start() + + if read_bufsize is None: + read_bufsize = self._read_bufsize + + if auto_decompress is None: + auto_decompress = self._auto_decompress + + if max_line_size is None: + max_line_size = self._max_line_size + + if max_field_size is None: + max_field_size = self._max_field_size + + traces = [ + Trace( + self, + trace_config, + trace_config.trace_config_ctx(trace_request_ctx=trace_request_ctx), + ) + for trace_config in self._trace_configs + ] + + for trace in traces: + await trace.send_request_start(method, url.update_query(params), headers) + + timer = tm.timer() + try: + with timer: + # https://www.rfc-editor.org/rfc/rfc9112.html#name-retrying-requests + retry_persistent_connection = ( + self._retry_connection and method in IDEMPOTENT_METHODS + ) + while True: + url, auth_from_url = strip_auth_from_url(url) + if not url.raw_host: + # NOTE: Bail early, otherwise, causes `InvalidURL` through + # NOTE: `self._request_class()` below. + err_exc_cls = ( + InvalidUrlRedirectClientError + if redirects + else InvalidUrlClientError + ) + raise err_exc_cls(url) + # If `auth` was passed for an already authenticated URL, + # disallow only if this is the initial URL; this is to avoid issues + # with sketchy redirects that are not the caller's responsibility + if not history and (auth and auth_from_url): + raise ValueError( + "Cannot combine AUTH argument with " + "credentials encoded in URL" + ) + + # Override the auth with the one from the URL only if we + # have no auth, or if we got an auth from a redirect URL + if auth is None or (history and auth_from_url is not None): + auth = auth_from_url + + if ( + auth is None + and self._default_auth + and ( + not self._base_url or self._base_url_origin == url.origin() + ) + ): + auth = self._default_auth + + # Try netrc if auth is still None and trust_env is enabled. + if auth is None and self._trust_env and url.host is not None: + auth = await self._loop.run_in_executor( + None, self._get_netrc_auth, url.host + ) + + # It would be confusing if we support explicit + # Authorization header with auth argument + if ( + headers is not None + and auth is not None + and hdrs.AUTHORIZATION in headers + ): + raise ValueError( + "Cannot combine AUTHORIZATION header " + "with AUTH argument or credentials " + "encoded in URL" + ) + + all_cookies = self._cookie_jar.filter_cookies(url) + + if cookies is not None: + tmp_cookie_jar = CookieJar( + quote_cookie=self._cookie_jar.quote_cookie + ) + tmp_cookie_jar.update_cookies(cookies) + req_cookies = tmp_cookie_jar.filter_cookies(url) + if req_cookies: + all_cookies.load(req_cookies) + + proxy_: Optional[URL] = None + if proxy is not None: + proxy_ = URL(proxy) + elif self._trust_env: + with suppress(LookupError): + proxy_, proxy_auth = await asyncio.to_thread( + get_env_proxy_for_url, url + ) + + req = self._request_class( + method, + url, + params=params, + headers=headers, + skip_auto_headers=skip_headers, + data=data, + cookies=all_cookies, + auth=auth, + version=version, + compress=compress, + chunked=chunked, + expect100=expect100, + loop=self._loop, + response_class=self._response_class, + proxy=proxy_, + proxy_auth=proxy_auth, + timer=timer, + session=self, + ssl=ssl if ssl is not None else True, + server_hostname=server_hostname, + proxy_headers=proxy_headers, + traces=traces, + trust_env=self.trust_env, + ) + + async def _connect_and_send_request( + req: ClientRequest, + ) -> ClientResponse: + # connection timeout + assert self._connector is not None + try: + conn = await self._connector.connect( + req, traces=traces, timeout=real_timeout + ) + except asyncio.TimeoutError as exc: + raise ConnectionTimeoutError( + f"Connection timeout to host {req.url}" + ) from exc + + assert conn.protocol is not None + conn.protocol.set_response_params( + timer=timer, + skip_payload=req.method in EMPTY_BODY_METHODS, + read_until_eof=read_until_eof, + auto_decompress=auto_decompress, + read_timeout=real_timeout.sock_read, + read_bufsize=read_bufsize, + timeout_ceil_threshold=self._connector._timeout_ceil_threshold, + max_line_size=max_line_size, + max_field_size=max_field_size, + ) + try: + resp = await req.send(conn) + try: + await resp.start(conn) + except BaseException: + resp.close() + raise + except BaseException: + conn.close() + raise + return resp + + # Apply middleware (if any) - per-request middleware overrides session middleware + effective_middlewares = ( + self._middlewares if middlewares is None else middlewares + ) + + if effective_middlewares: + handler = build_client_middlewares( + _connect_and_send_request, effective_middlewares + ) + else: + handler = _connect_and_send_request + + try: + resp = await handler(req) + # Client connector errors should not be retried + except ( + ConnectionTimeoutError, + ClientConnectorError, + ClientConnectorCertificateError, + ClientConnectorSSLError, + ): + raise + except (ClientOSError, ServerDisconnectedError): + if retry_persistent_connection: + retry_persistent_connection = False + continue + raise + except ClientError: + raise + except OSError as exc: + if exc.errno is None and isinstance(exc, asyncio.TimeoutError): + raise + raise ClientOSError(*exc.args) from exc + + # Update cookies from raw headers to preserve duplicates + if resp._raw_cookie_headers: + self._cookie_jar.update_cookies_from_headers( + resp._raw_cookie_headers, resp.url + ) + + # redirects + if resp.status in (301, 302, 303, 307, 308) and allow_redirects: + + for trace in traces: + await trace.send_request_redirect( + method, url.update_query(params), headers, resp + ) + + redirects += 1 + history.append(resp) + if max_redirects and redirects >= max_redirects: + if req._body is not None: + await req._body.close() + resp.close() + raise TooManyRedirects( + history[0].request_info, tuple(history) + ) + + # For 301 and 302, mimic IE, now changed in RFC + # https://github.com/kennethreitz/requests/pull/269 + if (resp.status == 303 and resp.method != hdrs.METH_HEAD) or ( + resp.status in (301, 302) and resp.method == hdrs.METH_POST + ): + method = hdrs.METH_GET + data = None + if headers.get(hdrs.CONTENT_LENGTH): + headers.pop(hdrs.CONTENT_LENGTH) + else: + # For 307/308, always preserve the request body + # For 301/302 with non-POST methods, preserve the request body + # https://www.rfc-editor.org/rfc/rfc9110#section-15.4.3-3.1 + # Use the existing payload to avoid recreating it from a potentially consumed file + data = req._body + + r_url = resp.headers.get(hdrs.LOCATION) or resp.headers.get( + hdrs.URI + ) + if r_url is None: + # see github.com/aio-libs/aiohttp/issues/2022 + break + else: + # reading from correct redirection + # response is forbidden + resp.release() + + try: + parsed_redirect_url = URL( + r_url, encoded=not self._requote_redirect_url + ) + except ValueError as e: + if req._body is not None: + await req._body.close() + resp.close() + raise InvalidUrlRedirectClientError( + r_url, + "Server attempted redirecting to a location that does not look like a URL", + ) from e + + scheme = parsed_redirect_url.scheme + if scheme not in HTTP_AND_EMPTY_SCHEMA_SET: + if req._body is not None: + await req._body.close() + resp.close() + raise NonHttpUrlRedirectClientError(r_url) + elif not scheme: + parsed_redirect_url = url.join(parsed_redirect_url) + + try: + redirect_origin = parsed_redirect_url.origin() + except ValueError as origin_val_err: + if req._body is not None: + await req._body.close() + resp.close() + raise InvalidUrlRedirectClientError( + parsed_redirect_url, + "Invalid redirect URL origin", + ) from origin_val_err + + if url.origin() != redirect_origin: + auth = None + headers.pop(hdrs.AUTHORIZATION, None) + + url = parsed_redirect_url + params = {} + resp.release() + continue + + break + + if req._body is not None: + await req._body.close() + # check response status + if raise_for_status is None: + raise_for_status = self._raise_for_status + + if raise_for_status is None: + pass + elif callable(raise_for_status): + await raise_for_status(resp) + elif raise_for_status: + resp.raise_for_status() + + # register connection + if handle is not None: + if resp.connection is not None: + resp.connection.add_callback(handle.cancel) + else: + handle.cancel() + + resp._history = tuple(history) + + for trace in traces: + await trace.send_request_end( + method, url.update_query(params), headers, resp + ) + return resp + + except BaseException as e: + # cleanup timer + tm.close() + if handle: + handle.cancel() + handle = None + + for trace in traces: + await trace.send_request_exception( + method, url.update_query(params), headers, e + ) + raise + + def ws_connect( + self, + url: StrOrURL, + *, + method: str = hdrs.METH_GET, + protocols: Iterable[str] = (), + timeout: Union[ClientWSTimeout, _SENTINEL] = sentinel, + receive_timeout: Optional[float] = None, + autoclose: bool = True, + autoping: bool = True, + heartbeat: Optional[float] = None, + auth: Optional[BasicAuth] = None, + origin: Optional[str] = None, + params: Query = None, + headers: Optional[LooseHeaders] = None, + proxy: Optional[StrOrURL] = None, + proxy_auth: Optional[BasicAuth] = None, + ssl: Union[SSLContext, bool, Fingerprint] = True, + verify_ssl: Optional[bool] = None, + fingerprint: Optional[bytes] = None, + ssl_context: Optional[SSLContext] = None, + server_hostname: Optional[str] = None, + proxy_headers: Optional[LooseHeaders] = None, + compress: int = 0, + max_msg_size: int = 4 * 1024 * 1024, + ) -> "_WSRequestContextManager": + """Initiate websocket connection.""" + return _WSRequestContextManager( + self._ws_connect( + url, + method=method, + protocols=protocols, + timeout=timeout, + receive_timeout=receive_timeout, + autoclose=autoclose, + autoping=autoping, + heartbeat=heartbeat, + auth=auth, + origin=origin, + params=params, + headers=headers, + proxy=proxy, + proxy_auth=proxy_auth, + ssl=ssl, + verify_ssl=verify_ssl, + fingerprint=fingerprint, + ssl_context=ssl_context, + server_hostname=server_hostname, + proxy_headers=proxy_headers, + compress=compress, + max_msg_size=max_msg_size, + ) + ) + + async def _ws_connect( + self, + url: StrOrURL, + *, + method: str = hdrs.METH_GET, + protocols: Iterable[str] = (), + timeout: Union[ClientWSTimeout, _SENTINEL] = sentinel, + receive_timeout: Optional[float] = None, + autoclose: bool = True, + autoping: bool = True, + heartbeat: Optional[float] = None, + auth: Optional[BasicAuth] = None, + origin: Optional[str] = None, + params: Query = None, + headers: Optional[LooseHeaders] = None, + proxy: Optional[StrOrURL] = None, + proxy_auth: Optional[BasicAuth] = None, + ssl: Union[SSLContext, bool, Fingerprint] = True, + verify_ssl: Optional[bool] = None, + fingerprint: Optional[bytes] = None, + ssl_context: Optional[SSLContext] = None, + server_hostname: Optional[str] = None, + proxy_headers: Optional[LooseHeaders] = None, + compress: int = 0, + max_msg_size: int = 4 * 1024 * 1024, + ) -> ClientWebSocketResponse: + if timeout is not sentinel: + if isinstance(timeout, ClientWSTimeout): + ws_timeout = timeout + else: + warnings.warn( + "parameter 'timeout' of type 'float' " + "is deprecated, please use " + "'timeout=ClientWSTimeout(ws_close=...)'", + DeprecationWarning, + stacklevel=2, + ) + ws_timeout = ClientWSTimeout(ws_close=timeout) + else: + ws_timeout = DEFAULT_WS_CLIENT_TIMEOUT + if receive_timeout is not None: + warnings.warn( + "float parameter 'receive_timeout' " + "is deprecated, please use parameter " + "'timeout=ClientWSTimeout(ws_receive=...)'", + DeprecationWarning, + stacklevel=2, + ) + ws_timeout = attr.evolve(ws_timeout, ws_receive=receive_timeout) + + if headers is None: + real_headers: CIMultiDict[str] = CIMultiDict() + else: + real_headers = CIMultiDict(headers) + + default_headers = { + hdrs.UPGRADE: "websocket", + hdrs.CONNECTION: "Upgrade", + hdrs.SEC_WEBSOCKET_VERSION: "13", + } + + for key, value in default_headers.items(): + real_headers.setdefault(key, value) + + sec_key = base64.b64encode(os.urandom(16)) + real_headers[hdrs.SEC_WEBSOCKET_KEY] = sec_key.decode() + + if protocols: + real_headers[hdrs.SEC_WEBSOCKET_PROTOCOL] = ",".join(protocols) + if origin is not None: + real_headers[hdrs.ORIGIN] = origin + if compress: + extstr = ws_ext_gen(compress=compress) + real_headers[hdrs.SEC_WEBSOCKET_EXTENSIONS] = extstr + + # For the sake of backward compatibility, if user passes in None, convert it to True + if ssl is None: + warnings.warn( + "ssl=None is deprecated, please use ssl=True", + DeprecationWarning, + stacklevel=2, + ) + ssl = True + ssl = _merge_ssl_params(ssl, verify_ssl, ssl_context, fingerprint) + + # send request + resp = await self.request( + method, + url, + params=params, + headers=real_headers, + read_until_eof=False, + auth=auth, + proxy=proxy, + proxy_auth=proxy_auth, + ssl=ssl, + server_hostname=server_hostname, + proxy_headers=proxy_headers, + ) + + try: + # check handshake + if resp.status != 101: + raise WSServerHandshakeError( + resp.request_info, + resp.history, + message="Invalid response status", + status=resp.status, + headers=resp.headers, + ) + + if resp.headers.get(hdrs.UPGRADE, "").lower() != "websocket": + raise WSServerHandshakeError( + resp.request_info, + resp.history, + message="Invalid upgrade header", + status=resp.status, + headers=resp.headers, + ) + + if resp.headers.get(hdrs.CONNECTION, "").lower() != "upgrade": + raise WSServerHandshakeError( + resp.request_info, + resp.history, + message="Invalid connection header", + status=resp.status, + headers=resp.headers, + ) + + # key calculation + r_key = resp.headers.get(hdrs.SEC_WEBSOCKET_ACCEPT, "") + match = base64.b64encode(hashlib.sha1(sec_key + WS_KEY).digest()).decode() + if r_key != match: + raise WSServerHandshakeError( + resp.request_info, + resp.history, + message="Invalid challenge response", + status=resp.status, + headers=resp.headers, + ) + + # websocket protocol + protocol = None + if protocols and hdrs.SEC_WEBSOCKET_PROTOCOL in resp.headers: + resp_protocols = [ + proto.strip() + for proto in resp.headers[hdrs.SEC_WEBSOCKET_PROTOCOL].split(",") + ] + + for proto in resp_protocols: + if proto in protocols: + protocol = proto + break + + # websocket compress + notakeover = False + if compress: + compress_hdrs = resp.headers.get(hdrs.SEC_WEBSOCKET_EXTENSIONS) + if compress_hdrs: + try: + compress, notakeover = ws_ext_parse(compress_hdrs) + except WSHandshakeError as exc: + raise WSServerHandshakeError( + resp.request_info, + resp.history, + message=exc.args[0], + status=resp.status, + headers=resp.headers, + ) from exc + else: + compress = 0 + notakeover = False + + conn = resp.connection + assert conn is not None + conn_proto = conn.protocol + assert conn_proto is not None + + # For WS connection the read_timeout must be either receive_timeout or greater + # None == no timeout, i.e. infinite timeout, so None is the max timeout possible + if ws_timeout.ws_receive is None: + # Reset regardless + conn_proto.read_timeout = None + elif conn_proto.read_timeout is not None: + conn_proto.read_timeout = max( + ws_timeout.ws_receive, conn_proto.read_timeout + ) + + transport = conn.transport + assert transport is not None + reader = WebSocketDataQueue(conn_proto, 2**16, loop=self._loop) + conn_proto.set_parser(WebSocketReader(reader, max_msg_size), reader) + writer = WebSocketWriter( + conn_proto, + transport, + use_mask=True, + compress=compress, + notakeover=notakeover, + ) + except BaseException: + resp.close() + raise + else: + return self._ws_response_class( + reader, + writer, + protocol, + resp, + ws_timeout, + autoclose, + autoping, + self._loop, + heartbeat=heartbeat, + compress=compress, + client_notakeover=notakeover, + ) + + def _prepare_headers(self, headers: Optional[LooseHeaders]) -> "CIMultiDict[str]": + """Add default headers and transform it to CIMultiDict""" + # Convert headers to MultiDict + result = CIMultiDict(self._default_headers) + if headers: + if not isinstance(headers, (MultiDictProxy, MultiDict)): + headers = CIMultiDict(headers) + added_names: Set[str] = set() + for key, value in headers.items(): + if key in added_names: + result.add(key, value) + else: + result[key] = value + added_names.add(key) + return result + + def _get_netrc_auth(self, host: str) -> Optional[BasicAuth]: + """ + Get auth from netrc for the given host. + + This method is designed to be called in an executor to avoid + blocking I/O in the event loop. + """ + netrc_obj = netrc_from_env() + try: + return basicauth_from_netrc(netrc_obj, host) + except LookupError: + return None + + if sys.version_info >= (3, 11) and TYPE_CHECKING: + + def get( + self, + url: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> "_RequestContextManager": ... + + def options( + self, + url: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> "_RequestContextManager": ... + + def head( + self, + url: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> "_RequestContextManager": ... + + def post( + self, + url: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> "_RequestContextManager": ... + + def put( + self, + url: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> "_RequestContextManager": ... + + def patch( + self, + url: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> "_RequestContextManager": ... + + def delete( + self, + url: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> "_RequestContextManager": ... + + else: + + def get( + self, url: StrOrURL, *, allow_redirects: bool = True, **kwargs: Any + ) -> "_RequestContextManager": + """Perform HTTP GET request.""" + return _RequestContextManager( + self._request( + hdrs.METH_GET, url, allow_redirects=allow_redirects, **kwargs + ) + ) + + def options( + self, url: StrOrURL, *, allow_redirects: bool = True, **kwargs: Any + ) -> "_RequestContextManager": + """Perform HTTP OPTIONS request.""" + return _RequestContextManager( + self._request( + hdrs.METH_OPTIONS, url, allow_redirects=allow_redirects, **kwargs + ) + ) + + def head( + self, url: StrOrURL, *, allow_redirects: bool = False, **kwargs: Any + ) -> "_RequestContextManager": + """Perform HTTP HEAD request.""" + return _RequestContextManager( + self._request( + hdrs.METH_HEAD, url, allow_redirects=allow_redirects, **kwargs + ) + ) + + def post( + self, url: StrOrURL, *, data: Any = None, **kwargs: Any + ) -> "_RequestContextManager": + """Perform HTTP POST request.""" + return _RequestContextManager( + self._request(hdrs.METH_POST, url, data=data, **kwargs) + ) + + def put( + self, url: StrOrURL, *, data: Any = None, **kwargs: Any + ) -> "_RequestContextManager": + """Perform HTTP PUT request.""" + return _RequestContextManager( + self._request(hdrs.METH_PUT, url, data=data, **kwargs) + ) + + def patch( + self, url: StrOrURL, *, data: Any = None, **kwargs: Any + ) -> "_RequestContextManager": + """Perform HTTP PATCH request.""" + return _RequestContextManager( + self._request(hdrs.METH_PATCH, url, data=data, **kwargs) + ) + + def delete(self, url: StrOrURL, **kwargs: Any) -> "_RequestContextManager": + """Perform HTTP DELETE request.""" + return _RequestContextManager( + self._request(hdrs.METH_DELETE, url, **kwargs) + ) + + async def close(self) -> None: + """Close underlying connector. + + Release all acquired resources. + """ + if not self.closed: + if self._connector is not None and self._connector_owner: + await self._connector.close() + self._connector = None + + @property + def closed(self) -> bool: + """Is client session closed. + + A readonly property. + """ + return self._connector is None or self._connector.closed + + @property + def connector(self) -> Optional[BaseConnector]: + """Connector instance used for the session.""" + return self._connector + + @property + def cookie_jar(self) -> AbstractCookieJar: + """The session cookies.""" + return self._cookie_jar + + @property + def version(self) -> Tuple[int, int]: + """The session HTTP protocol version.""" + return self._version + + @property + def requote_redirect_url(self) -> bool: + """Do URL requoting on redirection handling.""" + return self._requote_redirect_url + + @requote_redirect_url.setter + def requote_redirect_url(self, val: bool) -> None: + """Do URL requoting on redirection handling.""" + warnings.warn( + "session.requote_redirect_url modification is deprecated #2778", + DeprecationWarning, + stacklevel=2, + ) + self._requote_redirect_url = val + + @property + def loop(self) -> asyncio.AbstractEventLoop: + """Session's loop.""" + warnings.warn( + "client.loop property is deprecated", DeprecationWarning, stacklevel=2 + ) + return self._loop + + @property + def timeout(self) -> ClientTimeout: + """Timeout for the session.""" + return self._timeout + + @property + def headers(self) -> "CIMultiDict[str]": + """The default headers of the client session.""" + return self._default_headers + + @property + def skip_auto_headers(self) -> FrozenSet[istr]: + """Headers for which autogeneration should be skipped""" + return self._skip_auto_headers + + @property + def auth(self) -> Optional[BasicAuth]: + """An object that represents HTTP Basic Authorization""" + return self._default_auth + + @property + def json_serialize(self) -> JSONEncoder: + """Json serializer callable""" + return self._json_serialize + + @property + def connector_owner(self) -> bool: + """Should connector be closed on session closing""" + return self._connector_owner + + @property + def raise_for_status( + self, + ) -> Union[bool, Callable[[ClientResponse], Awaitable[None]]]: + """Should `ClientResponse.raise_for_status()` be called for each response.""" + return self._raise_for_status + + @property + def auto_decompress(self) -> bool: + """Should the body response be automatically decompressed.""" + return self._auto_decompress + + @property + def trust_env(self) -> bool: + """ + Should proxies information from environment or netrc be trusted. + + Information is from HTTP_PROXY / HTTPS_PROXY environment variables + or ~/.netrc file if present. + """ + return self._trust_env + + @property + def trace_configs(self) -> List[TraceConfig]: + """A list of TraceConfig instances used for client tracing""" + return self._trace_configs + + def detach(self) -> None: + """Detach connector from session without closing the former. + + Session is switched to closed state anyway. + """ + self._connector = None + + def __enter__(self) -> None: + raise TypeError("Use async with instead") + + def __exit__( + self, + exc_type: Optional[Type[BaseException]], + exc_val: Optional[BaseException], + exc_tb: Optional[TracebackType], + ) -> None: + # __exit__ should exist in pair with __enter__ but never executed + pass # pragma: no cover + + async def __aenter__(self) -> "ClientSession": + return self + + async def __aexit__( + self, + exc_type: Optional[Type[BaseException]], + exc_val: Optional[BaseException], + exc_tb: Optional[TracebackType], + ) -> None: + await self.close() + + +class _BaseRequestContextManager(Coroutine[Any, Any, _RetType], Generic[_RetType]): + + __slots__ = ("_coro", "_resp") + + def __init__(self, coro: Coroutine["asyncio.Future[Any]", None, _RetType]) -> None: + self._coro: Coroutine["asyncio.Future[Any]", None, _RetType] = coro + + def send(self, arg: None) -> "asyncio.Future[Any]": + return self._coro.send(arg) + + def throw(self, *args: Any, **kwargs: Any) -> "asyncio.Future[Any]": + return self._coro.throw(*args, **kwargs) + + def close(self) -> None: + return self._coro.close() + + def __await__(self) -> Generator[Any, None, _RetType]: + ret = self._coro.__await__() + return ret + + def __iter__(self) -> Generator[Any, None, _RetType]: + return self.__await__() + + async def __aenter__(self) -> _RetType: + self._resp: _RetType = await self._coro + return await self._resp.__aenter__() + + async def __aexit__( + self, + exc_type: Optional[Type[BaseException]], + exc: Optional[BaseException], + tb: Optional[TracebackType], + ) -> None: + await self._resp.__aexit__(exc_type, exc, tb) + + +_RequestContextManager = _BaseRequestContextManager[ClientResponse] +_WSRequestContextManager = _BaseRequestContextManager[ClientWebSocketResponse] + + +class _SessionRequestContextManager: + + __slots__ = ("_coro", "_resp", "_session") + + def __init__( + self, + coro: Coroutine["asyncio.Future[Any]", None, ClientResponse], + session: ClientSession, + ) -> None: + self._coro = coro + self._resp: Optional[ClientResponse] = None + self._session = session + + async def __aenter__(self) -> ClientResponse: + try: + self._resp = await self._coro + except BaseException: + await self._session.close() + raise + else: + return self._resp + + async def __aexit__( + self, + exc_type: Optional[Type[BaseException]], + exc: Optional[BaseException], + tb: Optional[TracebackType], + ) -> None: + assert self._resp is not None + self._resp.close() + await self._session.close() + + +if sys.version_info >= (3, 11) and TYPE_CHECKING: + + def request( + method: str, + url: StrOrURL, + *, + version: HttpVersion = http.HttpVersion11, + connector: Optional[BaseConnector] = None, + loop: Optional[asyncio.AbstractEventLoop] = None, + **kwargs: Unpack[_RequestOptions], + ) -> _SessionRequestContextManager: ... + +else: + + def request( + method: str, + url: StrOrURL, + *, + version: HttpVersion = http.HttpVersion11, + connector: Optional[BaseConnector] = None, + loop: Optional[asyncio.AbstractEventLoop] = None, + **kwargs: Any, + ) -> _SessionRequestContextManager: + """Constructs and sends a request. + + Returns response object. + method - HTTP method + url - request url + params - (optional) Dictionary or bytes to be sent in the query + string of the new request + data - (optional) Dictionary, bytes, or file-like object to + send in the body of the request + json - (optional) Any json compatible python object + headers - (optional) Dictionary of HTTP Headers to send with + the request + cookies - (optional) Dict object to send with the request + auth - (optional) BasicAuth named tuple represent HTTP Basic Auth + auth - aiohttp.helpers.BasicAuth + allow_redirects - (optional) If set to False, do not follow + redirects + version - Request HTTP version. + compress - Set to True if request has to be compressed + with deflate encoding. + chunked - Set to chunk size for chunked transfer encoding. + expect100 - Expect 100-continue response from server. + connector - BaseConnector sub-class instance to support + connection pooling. + read_until_eof - Read response until eof if response + does not have Content-Length header. + loop - Optional event loop. + timeout - Optional ClientTimeout settings structure, 5min + total timeout by default. + Usage:: + >>> import aiohttp + >>> async with aiohttp.request('GET', 'http://python.org/') as resp: + ... print(resp) + ... data = await resp.read() + + """ + connector_owner = False + if connector is None: + connector_owner = True + connector = TCPConnector(loop=loop, force_close=True) + + session = ClientSession( + loop=loop, + cookies=kwargs.pop("cookies", None), + version=version, + timeout=kwargs.pop("timeout", sentinel), + connector=connector, + connector_owner=connector_owner, + ) + + return _SessionRequestContextManager( + session._request(method, url, **kwargs), + session, + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_exceptions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..1d298e9a8cf663cdc8a85d3b7d1f9264ff5e03c9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_exceptions.py @@ -0,0 +1,421 @@ +"""HTTP related errors.""" + +import asyncio +import warnings +from typing import TYPE_CHECKING, Optional, Tuple, Union + +from multidict import MultiMapping + +from .typedefs import StrOrURL + +if TYPE_CHECKING: + import ssl + + SSLContext = ssl.SSLContext +else: + try: + import ssl + + SSLContext = ssl.SSLContext + except ImportError: # pragma: no cover + ssl = SSLContext = None # type: ignore[assignment] + +if TYPE_CHECKING: + from .client_reqrep import ClientResponse, ConnectionKey, Fingerprint, RequestInfo + from .http_parser import RawResponseMessage +else: + RequestInfo = ClientResponse = ConnectionKey = RawResponseMessage = None + +__all__ = ( + "ClientError", + "ClientConnectionError", + "ClientConnectionResetError", + "ClientOSError", + "ClientConnectorError", + "ClientProxyConnectionError", + "ClientSSLError", + "ClientConnectorDNSError", + "ClientConnectorSSLError", + "ClientConnectorCertificateError", + "ConnectionTimeoutError", + "SocketTimeoutError", + "ServerConnectionError", + "ServerTimeoutError", + "ServerDisconnectedError", + "ServerFingerprintMismatch", + "ClientResponseError", + "ClientHttpProxyError", + "WSServerHandshakeError", + "ContentTypeError", + "ClientPayloadError", + "InvalidURL", + "InvalidUrlClientError", + "RedirectClientError", + "NonHttpUrlClientError", + "InvalidUrlRedirectClientError", + "NonHttpUrlRedirectClientError", + "WSMessageTypeError", +) + + +class ClientError(Exception): + """Base class for client connection errors.""" + + +class ClientResponseError(ClientError): + """Base class for exceptions that occur after getting a response. + + request_info: An instance of RequestInfo. + history: A sequence of responses, if redirects occurred. + status: HTTP status code. + message: Error message. + headers: Response headers. + """ + + def __init__( + self, + request_info: RequestInfo, + history: Tuple[ClientResponse, ...], + *, + code: Optional[int] = None, + status: Optional[int] = None, + message: str = "", + headers: Optional[MultiMapping[str]] = None, + ) -> None: + self.request_info = request_info + if code is not None: + if status is not None: + raise ValueError( + "Both code and status arguments are provided; " + "code is deprecated, use status instead" + ) + warnings.warn( + "code argument is deprecated, use status instead", + DeprecationWarning, + stacklevel=2, + ) + if status is not None: + self.status = status + elif code is not None: + self.status = code + else: + self.status = 0 + self.message = message + self.headers = headers + self.history = history + self.args = (request_info, history) + + def __str__(self) -> str: + return "{}, message={!r}, url={!r}".format( + self.status, + self.message, + str(self.request_info.real_url), + ) + + def __repr__(self) -> str: + args = f"{self.request_info!r}, {self.history!r}" + if self.status != 0: + args += f", status={self.status!r}" + if self.message != "": + args += f", message={self.message!r}" + if self.headers is not None: + args += f", headers={self.headers!r}" + return f"{type(self).__name__}({args})" + + @property + def code(self) -> int: + warnings.warn( + "code property is deprecated, use status instead", + DeprecationWarning, + stacklevel=2, + ) + return self.status + + @code.setter + def code(self, value: int) -> None: + warnings.warn( + "code property is deprecated, use status instead", + DeprecationWarning, + stacklevel=2, + ) + self.status = value + + +class ContentTypeError(ClientResponseError): + """ContentType found is not valid.""" + + +class WSServerHandshakeError(ClientResponseError): + """websocket server handshake error.""" + + +class ClientHttpProxyError(ClientResponseError): + """HTTP proxy error. + + Raised in :class:`aiohttp.connector.TCPConnector` if + proxy responds with status other than ``200 OK`` + on ``CONNECT`` request. + """ + + +class TooManyRedirects(ClientResponseError): + """Client was redirected too many times.""" + + +class ClientConnectionError(ClientError): + """Base class for client socket errors.""" + + +class ClientConnectionResetError(ClientConnectionError, ConnectionResetError): + """ConnectionResetError""" + + +class ClientOSError(ClientConnectionError, OSError): + """OSError error.""" + + +class ClientConnectorError(ClientOSError): + """Client connector error. + + Raised in :class:`aiohttp.connector.TCPConnector` if + a connection can not be established. + """ + + def __init__(self, connection_key: ConnectionKey, os_error: OSError) -> None: + self._conn_key = connection_key + self._os_error = os_error + super().__init__(os_error.errno, os_error.strerror) + self.args = (connection_key, os_error) + + @property + def os_error(self) -> OSError: + return self._os_error + + @property + def host(self) -> str: + return self._conn_key.host + + @property + def port(self) -> Optional[int]: + return self._conn_key.port + + @property + def ssl(self) -> Union[SSLContext, bool, "Fingerprint"]: + return self._conn_key.ssl + + def __str__(self) -> str: + return "Cannot connect to host {0.host}:{0.port} ssl:{1} [{2}]".format( + self, "default" if self.ssl is True else self.ssl, self.strerror + ) + + # OSError.__reduce__ does too much black magick + __reduce__ = BaseException.__reduce__ + + +class ClientConnectorDNSError(ClientConnectorError): + """DNS resolution failed during client connection. + + Raised in :class:`aiohttp.connector.TCPConnector` if + DNS resolution fails. + """ + + +class ClientProxyConnectionError(ClientConnectorError): + """Proxy connection error. + + Raised in :class:`aiohttp.connector.TCPConnector` if + connection to proxy can not be established. + """ + + +class UnixClientConnectorError(ClientConnectorError): + """Unix connector error. + + Raised in :py:class:`aiohttp.connector.UnixConnector` + if connection to unix socket can not be established. + """ + + def __init__( + self, path: str, connection_key: ConnectionKey, os_error: OSError + ) -> None: + self._path = path + super().__init__(connection_key, os_error) + + @property + def path(self) -> str: + return self._path + + def __str__(self) -> str: + return "Cannot connect to unix socket {0.path} ssl:{1} [{2}]".format( + self, "default" if self.ssl is True else self.ssl, self.strerror + ) + + +class ServerConnectionError(ClientConnectionError): + """Server connection errors.""" + + +class ServerDisconnectedError(ServerConnectionError): + """Server disconnected.""" + + def __init__(self, message: Union[RawResponseMessage, str, None] = None) -> None: + if message is None: + message = "Server disconnected" + + self.args = (message,) + self.message = message + + +class ServerTimeoutError(ServerConnectionError, asyncio.TimeoutError): + """Server timeout error.""" + + +class ConnectionTimeoutError(ServerTimeoutError): + """Connection timeout error.""" + + +class SocketTimeoutError(ServerTimeoutError): + """Socket timeout error.""" + + +class ServerFingerprintMismatch(ServerConnectionError): + """SSL certificate does not match expected fingerprint.""" + + def __init__(self, expected: bytes, got: bytes, host: str, port: int) -> None: + self.expected = expected + self.got = got + self.host = host + self.port = port + self.args = (expected, got, host, port) + + def __repr__(self) -> str: + return "<{} expected={!r} got={!r} host={!r} port={!r}>".format( + self.__class__.__name__, self.expected, self.got, self.host, self.port + ) + + +class ClientPayloadError(ClientError): + """Response payload error.""" + + +class InvalidURL(ClientError, ValueError): + """Invalid URL. + + URL used for fetching is malformed, e.g. it doesn't contains host + part. + """ + + # Derive from ValueError for backward compatibility + + def __init__(self, url: StrOrURL, description: Union[str, None] = None) -> None: + # The type of url is not yarl.URL because the exception can be raised + # on URL(url) call + self._url = url + self._description = description + + if description: + super().__init__(url, description) + else: + super().__init__(url) + + @property + def url(self) -> StrOrURL: + return self._url + + @property + def description(self) -> "str | None": + return self._description + + def __repr__(self) -> str: + return f"<{self.__class__.__name__} {self}>" + + def __str__(self) -> str: + if self._description: + return f"{self._url} - {self._description}" + return str(self._url) + + +class InvalidUrlClientError(InvalidURL): + """Invalid URL client error.""" + + +class RedirectClientError(ClientError): + """Client redirect error.""" + + +class NonHttpUrlClientError(ClientError): + """Non http URL client error.""" + + +class InvalidUrlRedirectClientError(InvalidUrlClientError, RedirectClientError): + """Invalid URL redirect client error.""" + + +class NonHttpUrlRedirectClientError(NonHttpUrlClientError, RedirectClientError): + """Non http URL redirect client error.""" + + +class ClientSSLError(ClientConnectorError): + """Base error for ssl.*Errors.""" + + +if ssl is not None: + cert_errors = (ssl.CertificateError,) + cert_errors_bases = ( + ClientSSLError, + ssl.CertificateError, + ) + + ssl_errors = (ssl.SSLError,) + ssl_error_bases = (ClientSSLError, ssl.SSLError) +else: # pragma: no cover + cert_errors = tuple() + cert_errors_bases = ( + ClientSSLError, + ValueError, + ) + + ssl_errors = tuple() + ssl_error_bases = (ClientSSLError,) + + +class ClientConnectorSSLError(*ssl_error_bases): # type: ignore[misc] + """Response ssl error.""" + + +class ClientConnectorCertificateError(*cert_errors_bases): # type: ignore[misc] + """Response certificate error.""" + + def __init__( + self, connection_key: ConnectionKey, certificate_error: Exception + ) -> None: + self._conn_key = connection_key + self._certificate_error = certificate_error + self.args = (connection_key, certificate_error) + + @property + def certificate_error(self) -> Exception: + return self._certificate_error + + @property + def host(self) -> str: + return self._conn_key.host + + @property + def port(self) -> Optional[int]: + return self._conn_key.port + + @property + def ssl(self) -> bool: + return self._conn_key.is_ssl + + def __str__(self) -> str: + return ( + "Cannot connect to host {0.host}:{0.port} ssl:{0.ssl} " + "[{0.certificate_error.__class__.__name__}: " + "{0.certificate_error.args}]".format(self) + ) + + +class WSMessageTypeError(TypeError): + """WebSocket message type is not valid.""" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_middleware_digest_auth.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_middleware_digest_auth.py new file mode 100644 index 0000000000000000000000000000000000000000..5aab5acb85acbda5136fe0bef84df7ff4f492405 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_middleware_digest_auth.py @@ -0,0 +1,480 @@ +""" +Digest authentication middleware for aiohttp client. + +This middleware implements HTTP Digest Authentication according to RFC 7616, +providing a more secure alternative to Basic Authentication. It supports all +standard hash algorithms including MD5, SHA, SHA-256, SHA-512 and their session +variants, as well as both 'auth' and 'auth-int' quality of protection (qop) options. +""" + +import hashlib +import os +import re +import sys +import time +from typing import ( + Callable, + Dict, + Final, + FrozenSet, + List, + Literal, + Tuple, + TypedDict, + Union, +) + +from yarl import URL + +from . import hdrs +from .client_exceptions import ClientError +from .client_middlewares import ClientHandlerType +from .client_reqrep import ClientRequest, ClientResponse +from .payload import Payload + + +class DigestAuthChallenge(TypedDict, total=False): + realm: str + nonce: str + qop: str + algorithm: str + opaque: str + domain: str + stale: str + + +DigestFunctions: Dict[str, Callable[[bytes], "hashlib._Hash"]] = { + "MD5": hashlib.md5, + "MD5-SESS": hashlib.md5, + "SHA": hashlib.sha1, + "SHA-SESS": hashlib.sha1, + "SHA256": hashlib.sha256, + "SHA256-SESS": hashlib.sha256, + "SHA-256": hashlib.sha256, + "SHA-256-SESS": hashlib.sha256, + "SHA512": hashlib.sha512, + "SHA512-SESS": hashlib.sha512, + "SHA-512": hashlib.sha512, + "SHA-512-SESS": hashlib.sha512, +} + + +# Compile the regex pattern once at module level for performance +_HEADER_PAIRS_PATTERN = re.compile( + r'(?:^|\s|,\s*)(\w+)\s*=\s*(?:"((?:[^"\\]|\\.)*)"|([^\s,]+))' + if sys.version_info < (3, 11) + else r'(?:^|\s|,\s*)((?>\w+))\s*=\s*(?:"((?:[^"\\]|\\.)*)"|([^\s,]+))' + # +------------|--------|--|-|-|--|----|------|----|--||-----|-> Match valid start/sep + # +--------|--|-|-|--|----|------|----|--||-----|-> alphanumeric key (atomic + # | | | | | | | | || | group reduces backtracking) + # +--|-|-|--|----|------|----|--||-----|-> maybe whitespace + # | | | | | | | || | + # +-|-|--|----|------|----|--||-----|-> = (delimiter) + # +-|--|----|------|----|--||-----|-> maybe whitespace + # | | | | | || | + # +--|----|------|----|--||-----|-> group quoted or unquoted + # | | | | || | + # +----|------|----|--||-----|-> if quoted... + # +------|----|--||-----|-> anything but " or \ + # +----|--||-----|-> escaped characters allowed + # +--||-----|-> or can be empty string + # || | + # +|-----|-> if unquoted... + # +-----|-> anything but , or + # +-> at least one char req'd +) + + +# RFC 7616: Challenge parameters to extract +CHALLENGE_FIELDS: Final[ + Tuple[ + Literal["realm", "nonce", "qop", "algorithm", "opaque", "domain", "stale"], ... + ] +] = ( + "realm", + "nonce", + "qop", + "algorithm", + "opaque", + "domain", + "stale", +) + +# Supported digest authentication algorithms +# Use a tuple of sorted keys for predictable documentation and error messages +SUPPORTED_ALGORITHMS: Final[Tuple[str, ...]] = tuple(sorted(DigestFunctions.keys())) + +# RFC 7616: Fields that require quoting in the Digest auth header +# These fields must be enclosed in double quotes in the Authorization header. +# Algorithm, qop, and nc are never quoted per RFC specifications. +# This frozen set is used by the template-based header construction to +# automatically determine which fields need quotes. +QUOTED_AUTH_FIELDS: Final[FrozenSet[str]] = frozenset( + {"username", "realm", "nonce", "uri", "response", "opaque", "cnonce"} +) + + +def escape_quotes(value: str) -> str: + """Escape double quotes for HTTP header values.""" + return value.replace('"', '\\"') + + +def unescape_quotes(value: str) -> str: + """Unescape double quotes in HTTP header values.""" + return value.replace('\\"', '"') + + +def parse_header_pairs(header: str) -> Dict[str, str]: + """ + Parse key-value pairs from WWW-Authenticate or similar HTTP headers. + + This function handles the complex format of WWW-Authenticate header values, + supporting both quoted and unquoted values, proper handling of commas in + quoted values, and whitespace variations per RFC 7616. + + Examples of supported formats: + - key1="value1", key2=value2 + - key1 = "value1" , key2="value, with, commas" + - key1=value1,key2="value2" + - realm="example.com", nonce="12345", qop="auth" + + Args: + header: The header value string to parse + + Returns: + Dictionary mapping parameter names to their values + """ + return { + stripped_key: unescape_quotes(quoted_val) if quoted_val else unquoted_val + for key, quoted_val, unquoted_val in _HEADER_PAIRS_PATTERN.findall(header) + if (stripped_key := key.strip()) + } + + +class DigestAuthMiddleware: + """ + HTTP digest authentication middleware for aiohttp client. + + This middleware intercepts 401 Unauthorized responses containing a Digest + authentication challenge, calculates the appropriate digest credentials, + and automatically retries the request with the proper Authorization header. + + Features: + - Handles all aspects of Digest authentication handshake automatically + - Supports all standard hash algorithms: + - MD5, MD5-SESS + - SHA, SHA-SESS + - SHA256, SHA256-SESS, SHA-256, SHA-256-SESS + - SHA512, SHA512-SESS, SHA-512, SHA-512-SESS + - Supports 'auth' and 'auth-int' quality of protection modes + - Properly handles quoted strings and parameter parsing + - Includes replay attack protection with client nonce count tracking + - Supports preemptive authentication per RFC 7616 Section 3.6 + + Standards compliance: + - RFC 7616: HTTP Digest Access Authentication (primary reference) + - RFC 2617: HTTP Authentication (deprecated by RFC 7616) + - RFC 1945: Section 11.1 (username restrictions) + + Implementation notes: + The core digest calculation is inspired by the implementation in + https://github.com/requests/requests/blob/v2.18.4/requests/auth.py + with added support for modern digest auth features and error handling. + """ + + def __init__( + self, + login: str, + password: str, + preemptive: bool = True, + ) -> None: + if login is None: + raise ValueError("None is not allowed as login value") + + if password is None: + raise ValueError("None is not allowed as password value") + + if ":" in login: + raise ValueError('A ":" is not allowed in username (RFC 1945#section-11.1)') + + self._login_str: Final[str] = login + self._login_bytes: Final[bytes] = login.encode("utf-8") + self._password_bytes: Final[bytes] = password.encode("utf-8") + + self._last_nonce_bytes = b"" + self._nonce_count = 0 + self._challenge: DigestAuthChallenge = {} + self._preemptive: bool = preemptive + # Set of URLs defining the protection space + self._protection_space: List[str] = [] + + async def _encode( + self, method: str, url: URL, body: Union[Payload, Literal[b""]] + ) -> str: + """ + Build digest authorization header for the current challenge. + + Args: + method: The HTTP method (GET, POST, etc.) + url: The request URL + body: The request body (used for qop=auth-int) + + Returns: + A fully formatted Digest authorization header string + + Raises: + ClientError: If the challenge is missing required parameters or + contains unsupported values + + """ + challenge = self._challenge + if "realm" not in challenge: + raise ClientError( + "Malformed Digest auth challenge: Missing 'realm' parameter" + ) + + if "nonce" not in challenge: + raise ClientError( + "Malformed Digest auth challenge: Missing 'nonce' parameter" + ) + + # Empty realm values are allowed per RFC 7616 (SHOULD, not MUST, contain host name) + realm = challenge["realm"] + nonce = challenge["nonce"] + + # Empty nonce values are not allowed as they are security-critical for replay protection + if not nonce: + raise ClientError( + "Security issue: Digest auth challenge contains empty 'nonce' value" + ) + + qop_raw = challenge.get("qop", "") + # Preserve original algorithm case for response while using uppercase for processing + algorithm_original = challenge.get("algorithm", "MD5") + algorithm = algorithm_original.upper() + opaque = challenge.get("opaque", "") + + # Convert string values to bytes once + nonce_bytes = nonce.encode("utf-8") + realm_bytes = realm.encode("utf-8") + path = URL(url).path_qs + + # Process QoP + qop = "" + qop_bytes = b"" + if qop_raw: + valid_qops = {"auth", "auth-int"}.intersection( + {q.strip() for q in qop_raw.split(",") if q.strip()} + ) + if not valid_qops: + raise ClientError( + f"Digest auth error: Unsupported Quality of Protection (qop) value(s): {qop_raw}" + ) + + qop = "auth-int" if "auth-int" in valid_qops else "auth" + qop_bytes = qop.encode("utf-8") + + if algorithm not in DigestFunctions: + raise ClientError( + f"Digest auth error: Unsupported hash algorithm: {algorithm}. " + f"Supported algorithms: {', '.join(SUPPORTED_ALGORITHMS)}" + ) + hash_fn: Final = DigestFunctions[algorithm] + + def H(x: bytes) -> bytes: + """RFC 7616 Section 3: Hash function H(data) = hex(hash(data)).""" + return hash_fn(x).hexdigest().encode() + + def KD(s: bytes, d: bytes) -> bytes: + """RFC 7616 Section 3: KD(secret, data) = H(concat(secret, ":", data)).""" + return H(b":".join((s, d))) + + # Calculate A1 and A2 + A1 = b":".join((self._login_bytes, realm_bytes, self._password_bytes)) + A2 = f"{method.upper()}:{path}".encode() + if qop == "auth-int": + if isinstance(body, Payload): # will always be empty bytes unless Payload + entity_bytes = await body.as_bytes() # Get bytes from Payload + else: + entity_bytes = body + entity_hash = H(entity_bytes) + A2 = b":".join((A2, entity_hash)) + + HA1 = H(A1) + HA2 = H(A2) + + # Nonce count handling + if nonce_bytes == self._last_nonce_bytes: + self._nonce_count += 1 + else: + self._nonce_count = 1 + + self._last_nonce_bytes = nonce_bytes + ncvalue = f"{self._nonce_count:08x}" + ncvalue_bytes = ncvalue.encode("utf-8") + + # Generate client nonce + cnonce = hashlib.sha1( + b"".join( + [ + str(self._nonce_count).encode("utf-8"), + nonce_bytes, + time.ctime().encode("utf-8"), + os.urandom(8), + ] + ) + ).hexdigest()[:16] + cnonce_bytes = cnonce.encode("utf-8") + + # Special handling for session-based algorithms + if algorithm.upper().endswith("-SESS"): + HA1 = H(b":".join((HA1, nonce_bytes, cnonce_bytes))) + + # Calculate the response digest + if qop: + noncebit = b":".join( + (nonce_bytes, ncvalue_bytes, cnonce_bytes, qop_bytes, HA2) + ) + response_digest = KD(HA1, noncebit) + else: + response_digest = KD(HA1, b":".join((nonce_bytes, HA2))) + + # Define a dict mapping of header fields to their values + # Group fields into always-present, optional, and qop-dependent + header_fields = { + # Always present fields + "username": escape_quotes(self._login_str), + "realm": escape_quotes(realm), + "nonce": escape_quotes(nonce), + "uri": path, + "response": response_digest.decode(), + "algorithm": algorithm_original, + } + + # Optional fields + if opaque: + header_fields["opaque"] = escape_quotes(opaque) + + # QoP-dependent fields + if qop: + header_fields["qop"] = qop + header_fields["nc"] = ncvalue + header_fields["cnonce"] = cnonce + + # Build header using templates for each field type + pairs: List[str] = [] + for field, value in header_fields.items(): + if field in QUOTED_AUTH_FIELDS: + pairs.append(f'{field}="{value}"') + else: + pairs.append(f"{field}={value}") + + return f"Digest {', '.join(pairs)}" + + def _in_protection_space(self, url: URL) -> bool: + """ + Check if the given URL is within the current protection space. + + According to RFC 7616, a URI is in the protection space if any URI + in the protection space is a prefix of it (after both have been made absolute). + """ + request_str = str(url) + for space_str in self._protection_space: + # Check if request starts with space URL + if not request_str.startswith(space_str): + continue + # Exact match or space ends with / (proper directory prefix) + if len(request_str) == len(space_str) or space_str[-1] == "/": + return True + # Check next char is / to ensure proper path boundary + if request_str[len(space_str)] == "/": + return True + return False + + def _authenticate(self, response: ClientResponse) -> bool: + """ + Takes the given response and tries digest-auth, if needed. + + Returns true if the original request must be resent. + """ + if response.status != 401: + return False + + auth_header = response.headers.get("www-authenticate", "") + if not auth_header: + return False # No authentication header present + + method, sep, headers = auth_header.partition(" ") + if not sep: + # No space found in www-authenticate header + return False # Malformed auth header, missing scheme separator + + if method.lower() != "digest": + # Not a digest auth challenge (could be Basic, Bearer, etc.) + return False + + if not headers: + # We have a digest scheme but no parameters + return False # Malformed digest header, missing parameters + + # We have a digest auth header with content + if not (header_pairs := parse_header_pairs(headers)): + # Failed to parse any key-value pairs + return False # Malformed digest header, no valid parameters + + # Extract challenge parameters + self._challenge = {} + for field in CHALLENGE_FIELDS: + if value := header_pairs.get(field): + self._challenge[field] = value + + # Update protection space based on domain parameter or default to origin + origin = response.url.origin() + + if domain := self._challenge.get("domain"): + # Parse space-separated list of URIs + self._protection_space = [] + for uri in domain.split(): + # Remove quotes if present + uri = uri.strip('"') + if uri.startswith("/"): + # Path-absolute, relative to origin + self._protection_space.append(str(origin.join(URL(uri)))) + else: + # Absolute URI + self._protection_space.append(str(URL(uri))) + else: + # No domain specified, protection space is entire origin + self._protection_space = [str(origin)] + + # Return True only if we found at least one challenge parameter + return bool(self._challenge) + + async def __call__( + self, request: ClientRequest, handler: ClientHandlerType + ) -> ClientResponse: + """Run the digest auth middleware.""" + response = None + for retry_count in range(2): + # Apply authorization header if: + # 1. This is a retry after 401 (retry_count > 0), OR + # 2. Preemptive auth is enabled AND we have a challenge AND the URL is in protection space + if retry_count > 0 or ( + self._preemptive + and self._challenge + and self._in_protection_space(request.url) + ): + request.headers[hdrs.AUTHORIZATION] = await self._encode( + request.method, request.url, request.body + ) + + # Send the request + response = await handler(request) + + # Check if we need to authenticate + if not self._authenticate(response): + break + + # At this point, response is guaranteed to be defined + assert response is not None + return response diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_middlewares.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_middlewares.py new file mode 100644 index 0000000000000000000000000000000000000000..3ca2cb202ad93963369f2a10fd1d118a194c4405 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_middlewares.py @@ -0,0 +1,55 @@ +"""Client middleware support.""" + +from collections.abc import Awaitable, Callable, Sequence + +from .client_reqrep import ClientRequest, ClientResponse + +__all__ = ("ClientMiddlewareType", "ClientHandlerType", "build_client_middlewares") + +# Type alias for client request handlers - functions that process requests and return responses +ClientHandlerType = Callable[[ClientRequest], Awaitable[ClientResponse]] + +# Type for client middleware - similar to server but uses ClientRequest/ClientResponse +ClientMiddlewareType = Callable[ + [ClientRequest, ClientHandlerType], Awaitable[ClientResponse] +] + + +def build_client_middlewares( + handler: ClientHandlerType, + middlewares: Sequence[ClientMiddlewareType], +) -> ClientHandlerType: + """ + Apply middlewares to request handler. + + The middlewares are applied in reverse order, so the first middleware + in the list wraps all subsequent middlewares and the handler. + + This implementation avoids using partial/update_wrapper to minimize overhead + and doesn't cache to avoid holding references to stateful middleware. + """ + # Optimize for single middleware case + if len(middlewares) == 1: + middleware = middlewares[0] + + async def single_middleware_handler(req: ClientRequest) -> ClientResponse: + return await middleware(req, handler) + + return single_middleware_handler + + # Build the chain for multiple middlewares + current_handler = handler + + for middleware in reversed(middlewares): + # Create a new closure that captures the current state + def make_wrapper( + mw: ClientMiddlewareType, next_h: ClientHandlerType + ) -> ClientHandlerType: + async def wrapped(req: ClientRequest) -> ClientResponse: + return await mw(req, next_h) + + return wrapped + + current_handler = make_wrapper(middleware, current_handler) + + return current_handler diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_proto.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_proto.py new file mode 100644 index 0000000000000000000000000000000000000000..e2fb1ce64cb6a39f5a72aecfd5840536defba519 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_proto.py @@ -0,0 +1,359 @@ +import asyncio +from contextlib import suppress +from typing import Any, Optional, Tuple, Union + +from .base_protocol import BaseProtocol +from .client_exceptions import ( + ClientConnectionError, + ClientOSError, + ClientPayloadError, + ServerDisconnectedError, + SocketTimeoutError, +) +from .helpers import ( + _EXC_SENTINEL, + EMPTY_BODY_STATUS_CODES, + BaseTimerContext, + set_exception, + set_result, +) +from .http import HttpResponseParser, RawResponseMessage +from .http_exceptions import HttpProcessingError +from .streams import EMPTY_PAYLOAD, DataQueue, StreamReader + + +class ResponseHandler(BaseProtocol, DataQueue[Tuple[RawResponseMessage, StreamReader]]): + """Helper class to adapt between Protocol and StreamReader.""" + + def __init__(self, loop: asyncio.AbstractEventLoop) -> None: + BaseProtocol.__init__(self, loop=loop) + DataQueue.__init__(self, loop) + + self._should_close = False + + self._payload: Optional[StreamReader] = None + self._skip_payload = False + self._payload_parser = None + + self._timer = None + + self._tail = b"" + self._upgraded = False + self._parser: Optional[HttpResponseParser] = None + + self._read_timeout: Optional[float] = None + self._read_timeout_handle: Optional[asyncio.TimerHandle] = None + + self._timeout_ceil_threshold: Optional[float] = 5 + + self._closed: Union[None, asyncio.Future[None]] = None + self._connection_lost_called = False + + @property + def closed(self) -> Union[None, asyncio.Future[None]]: + """Future that is set when the connection is closed. + + This property returns a Future that will be completed when the connection + is closed. The Future is created lazily on first access to avoid creating + futures that will never be awaited. + + Returns: + - A Future[None] if the connection is still open or was closed after + this property was accessed + - None if connection_lost() was already called before this property + was ever accessed (indicating no one is waiting for the closure) + """ + if self._closed is None and not self._connection_lost_called: + self._closed = self._loop.create_future() + return self._closed + + @property + def upgraded(self) -> bool: + return self._upgraded + + @property + def should_close(self) -> bool: + return bool( + self._should_close + or (self._payload is not None and not self._payload.is_eof()) + or self._upgraded + or self._exception is not None + or self._payload_parser is not None + or self._buffer + or self._tail + ) + + def force_close(self) -> None: + self._should_close = True + + def close(self) -> None: + self._exception = None # Break cyclic references + transport = self.transport + if transport is not None: + transport.close() + self.transport = None + self._payload = None + self._drop_timeout() + + def abort(self) -> None: + self._exception = None # Break cyclic references + transport = self.transport + if transport is not None: + transport.abort() + self.transport = None + self._payload = None + self._drop_timeout() + + def is_connected(self) -> bool: + return self.transport is not None and not self.transport.is_closing() + + def connection_lost(self, exc: Optional[BaseException]) -> None: + self._connection_lost_called = True + self._drop_timeout() + + original_connection_error = exc + reraised_exc = original_connection_error + + connection_closed_cleanly = original_connection_error is None + + if self._closed is not None: + # If someone is waiting for the closed future, + # we should set it to None or an exception. If + # self._closed is None, it means that + # connection_lost() was called already + # or nobody is waiting for it. + if connection_closed_cleanly: + set_result(self._closed, None) + else: + assert original_connection_error is not None + set_exception( + self._closed, + ClientConnectionError( + f"Connection lost: {original_connection_error !s}", + ), + original_connection_error, + ) + + if self._payload_parser is not None: + with suppress(Exception): # FIXME: log this somehow? + self._payload_parser.feed_eof() + + uncompleted = None + if self._parser is not None: + try: + uncompleted = self._parser.feed_eof() + except Exception as underlying_exc: + if self._payload is not None: + client_payload_exc_msg = ( + f"Response payload is not completed: {underlying_exc !r}" + ) + if not connection_closed_cleanly: + client_payload_exc_msg = ( + f"{client_payload_exc_msg !s}. " + f"{original_connection_error !r}" + ) + set_exception( + self._payload, + ClientPayloadError(client_payload_exc_msg), + underlying_exc, + ) + + if not self.is_eof(): + if isinstance(original_connection_error, OSError): + reraised_exc = ClientOSError(*original_connection_error.args) + if connection_closed_cleanly: + reraised_exc = ServerDisconnectedError(uncompleted) + # assigns self._should_close to True as side effect, + # we do it anyway below + underlying_non_eof_exc = ( + _EXC_SENTINEL + if connection_closed_cleanly + else original_connection_error + ) + assert underlying_non_eof_exc is not None + assert reraised_exc is not None + self.set_exception(reraised_exc, underlying_non_eof_exc) + + self._should_close = True + self._parser = None + self._payload = None + self._payload_parser = None + self._reading_paused = False + + super().connection_lost(reraised_exc) + + def eof_received(self) -> None: + # should call parser.feed_eof() most likely + self._drop_timeout() + + def pause_reading(self) -> None: + super().pause_reading() + self._drop_timeout() + + def resume_reading(self) -> None: + super().resume_reading() + self._reschedule_timeout() + + def set_exception( + self, + exc: BaseException, + exc_cause: BaseException = _EXC_SENTINEL, + ) -> None: + self._should_close = True + self._drop_timeout() + super().set_exception(exc, exc_cause) + + def set_parser(self, parser: Any, payload: Any) -> None: + # TODO: actual types are: + # parser: WebSocketReader + # payload: WebSocketDataQueue + # but they are not generi enough + # Need an ABC for both types + self._payload = payload + self._payload_parser = parser + + self._drop_timeout() + + if self._tail: + data, self._tail = self._tail, b"" + self.data_received(data) + + def set_response_params( + self, + *, + timer: Optional[BaseTimerContext] = None, + skip_payload: bool = False, + read_until_eof: bool = False, + auto_decompress: bool = True, + read_timeout: Optional[float] = None, + read_bufsize: int = 2**16, + timeout_ceil_threshold: float = 5, + max_line_size: int = 8190, + max_field_size: int = 8190, + ) -> None: + self._skip_payload = skip_payload + + self._read_timeout = read_timeout + + self._timeout_ceil_threshold = timeout_ceil_threshold + + self._parser = HttpResponseParser( + self, + self._loop, + read_bufsize, + timer=timer, + payload_exception=ClientPayloadError, + response_with_body=not skip_payload, + read_until_eof=read_until_eof, + auto_decompress=auto_decompress, + max_line_size=max_line_size, + max_field_size=max_field_size, + ) + + if self._tail: + data, self._tail = self._tail, b"" + self.data_received(data) + + def _drop_timeout(self) -> None: + if self._read_timeout_handle is not None: + self._read_timeout_handle.cancel() + self._read_timeout_handle = None + + def _reschedule_timeout(self) -> None: + timeout = self._read_timeout + if self._read_timeout_handle is not None: + self._read_timeout_handle.cancel() + + if timeout: + self._read_timeout_handle = self._loop.call_later( + timeout, self._on_read_timeout + ) + else: + self._read_timeout_handle = None + + def start_timeout(self) -> None: + self._reschedule_timeout() + + @property + def read_timeout(self) -> Optional[float]: + return self._read_timeout + + @read_timeout.setter + def read_timeout(self, read_timeout: Optional[float]) -> None: + self._read_timeout = read_timeout + + def _on_read_timeout(self) -> None: + exc = SocketTimeoutError("Timeout on reading data from socket") + self.set_exception(exc) + if self._payload is not None: + set_exception(self._payload, exc) + + def data_received(self, data: bytes) -> None: + self._reschedule_timeout() + + if not data: + return + + # custom payload parser - currently always WebSocketReader + if self._payload_parser is not None: + eof, tail = self._payload_parser.feed_data(data) + if eof: + self._payload = None + self._payload_parser = None + + if tail: + self.data_received(tail) + return + + if self._upgraded or self._parser is None: + # i.e. websocket connection, websocket parser is not set yet + self._tail += data + return + + # parse http messages + try: + messages, upgraded, tail = self._parser.feed_data(data) + except BaseException as underlying_exc: + if self.transport is not None: + # connection.release() could be called BEFORE + # data_received(), the transport is already + # closed in this case + self.transport.close() + # should_close is True after the call + if isinstance(underlying_exc, HttpProcessingError): + exc = HttpProcessingError( + code=underlying_exc.code, + message=underlying_exc.message, + headers=underlying_exc.headers, + ) + else: + exc = HttpProcessingError() + self.set_exception(exc, underlying_exc) + return + + self._upgraded = upgraded + + payload: Optional[StreamReader] = None + for message, payload in messages: + if message.should_close: + self._should_close = True + + self._payload = payload + + if self._skip_payload or message.code in EMPTY_BODY_STATUS_CODES: + self.feed_data((message, EMPTY_PAYLOAD), 0) + else: + self.feed_data((message, payload), 0) + + if payload is not None: + # new message(s) was processed + # register timeout handler unsubscribing + # either on end-of-stream or immediately for + # EMPTY_PAYLOAD + if payload is not EMPTY_PAYLOAD: + payload.on_eof(self._drop_timeout) + else: + self._drop_timeout() + + if upgraded and tail: + self.data_received(tail) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_reqrep.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_reqrep.py new file mode 100644 index 0000000000000000000000000000000000000000..a9e0795893d6a56595f6f7b04b62cc4486d48a0f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_reqrep.py @@ -0,0 +1,1536 @@ +import asyncio +import codecs +import contextlib +import functools +import io +import re +import sys +import traceback +import warnings +from collections.abc import Mapping +from hashlib import md5, sha1, sha256 +from http.cookies import Morsel, SimpleCookie +from types import MappingProxyType, TracebackType +from typing import ( + TYPE_CHECKING, + Any, + Callable, + Dict, + Iterable, + List, + Literal, + NamedTuple, + Optional, + Tuple, + Type, + Union, +) + +import attr +from multidict import CIMultiDict, CIMultiDictProxy, MultiDict, MultiDictProxy +from yarl import URL + +from . import hdrs, helpers, http, multipart, payload +from ._cookie_helpers import ( + parse_cookie_header, + parse_set_cookie_headers, + preserve_morsel_with_coded_value, +) +from .abc import AbstractStreamWriter +from .client_exceptions import ( + ClientConnectionError, + ClientOSError, + ClientResponseError, + ContentTypeError, + InvalidURL, + ServerFingerprintMismatch, +) +from .compression_utils import HAS_BROTLI, HAS_ZSTD +from .formdata import FormData +from .helpers import ( + _SENTINEL, + BaseTimerContext, + BasicAuth, + HeadersMixin, + TimerNoop, + noop, + reify, + sentinel, + set_exception, + set_result, +) +from .http import ( + SERVER_SOFTWARE, + HttpVersion, + HttpVersion10, + HttpVersion11, + StreamWriter, +) +from .streams import StreamReader +from .typedefs import ( + DEFAULT_JSON_DECODER, + JSONDecoder, + LooseCookies, + LooseHeaders, + Query, + RawHeaders, +) + +if TYPE_CHECKING: + import ssl + from ssl import SSLContext +else: + try: + import ssl + from ssl import SSLContext + except ImportError: # pragma: no cover + ssl = None # type: ignore[assignment] + SSLContext = object # type: ignore[misc,assignment] + + +__all__ = ("ClientRequest", "ClientResponse", "RequestInfo", "Fingerprint") + + +if TYPE_CHECKING: + from .client import ClientSession + from .connector import Connection + from .tracing import Trace + + +_CONNECTION_CLOSED_EXCEPTION = ClientConnectionError("Connection closed") +_CONTAINS_CONTROL_CHAR_RE = re.compile(r"[^-!#$%&'*+.^_`|~0-9a-zA-Z]") +json_re = re.compile(r"^application/(?:[\w.+-]+?\+)?json") + + +def _gen_default_accept_encoding() -> str: + encodings = [ + "gzip", + "deflate", + ] + if HAS_BROTLI: + encodings.append("br") + if HAS_ZSTD: + encodings.append("zstd") + return ", ".join(encodings) + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class ContentDisposition: + type: Optional[str] + parameters: "MappingProxyType[str, str]" + filename: Optional[str] + + +class _RequestInfo(NamedTuple): + url: URL + method: str + headers: "CIMultiDictProxy[str]" + real_url: URL + + +class RequestInfo(_RequestInfo): + + def __new__( + cls, + url: URL, + method: str, + headers: "CIMultiDictProxy[str]", + real_url: Union[URL, _SENTINEL] = sentinel, + ) -> "RequestInfo": + """Create a new RequestInfo instance. + + For backwards compatibility, the real_url parameter is optional. + """ + return tuple.__new__( + cls, (url, method, headers, url if real_url is sentinel else real_url) + ) + + +class Fingerprint: + HASHFUNC_BY_DIGESTLEN = { + 16: md5, + 20: sha1, + 32: sha256, + } + + def __init__(self, fingerprint: bytes) -> None: + digestlen = len(fingerprint) + hashfunc = self.HASHFUNC_BY_DIGESTLEN.get(digestlen) + if not hashfunc: + raise ValueError("fingerprint has invalid length") + elif hashfunc is md5 or hashfunc is sha1: + raise ValueError("md5 and sha1 are insecure and not supported. Use sha256.") + self._hashfunc = hashfunc + self._fingerprint = fingerprint + + @property + def fingerprint(self) -> bytes: + return self._fingerprint + + def check(self, transport: asyncio.Transport) -> None: + if not transport.get_extra_info("sslcontext"): + return + sslobj = transport.get_extra_info("ssl_object") + cert = sslobj.getpeercert(binary_form=True) + got = self._hashfunc(cert).digest() + if got != self._fingerprint: + host, port, *_ = transport.get_extra_info("peername") + raise ServerFingerprintMismatch(self._fingerprint, got, host, port) + + +if ssl is not None: + SSL_ALLOWED_TYPES = (ssl.SSLContext, bool, Fingerprint, type(None)) +else: # pragma: no cover + SSL_ALLOWED_TYPES = (bool, type(None)) + + +def _merge_ssl_params( + ssl: Union["SSLContext", bool, Fingerprint], + verify_ssl: Optional[bool], + ssl_context: Optional["SSLContext"], + fingerprint: Optional[bytes], +) -> Union["SSLContext", bool, Fingerprint]: + if ssl is None: + ssl = True # Double check for backwards compatibility + if verify_ssl is not None and not verify_ssl: + warnings.warn( + "verify_ssl is deprecated, use ssl=False instead", + DeprecationWarning, + stacklevel=3, + ) + if ssl is not True: + raise ValueError( + "verify_ssl, ssl_context, fingerprint and ssl " + "parameters are mutually exclusive" + ) + else: + ssl = False + if ssl_context is not None: + warnings.warn( + "ssl_context is deprecated, use ssl=context instead", + DeprecationWarning, + stacklevel=3, + ) + if ssl is not True: + raise ValueError( + "verify_ssl, ssl_context, fingerprint and ssl " + "parameters are mutually exclusive" + ) + else: + ssl = ssl_context + if fingerprint is not None: + warnings.warn( + "fingerprint is deprecated, use ssl=Fingerprint(fingerprint) instead", + DeprecationWarning, + stacklevel=3, + ) + if ssl is not True: + raise ValueError( + "verify_ssl, ssl_context, fingerprint and ssl " + "parameters are mutually exclusive" + ) + else: + ssl = Fingerprint(fingerprint) + if not isinstance(ssl, SSL_ALLOWED_TYPES): + raise TypeError( + "ssl should be SSLContext, bool, Fingerprint or None, " + "got {!r} instead.".format(ssl) + ) + return ssl + + +_SSL_SCHEMES = frozenset(("https", "wss")) + + +# ConnectionKey is a NamedTuple because it is used as a key in a dict +# and a set in the connector. Since a NamedTuple is a tuple it uses +# the fast native tuple __hash__ and __eq__ implementation in CPython. +class ConnectionKey(NamedTuple): + # the key should contain an information about used proxy / TLS + # to prevent reusing wrong connections from a pool + host: str + port: Optional[int] + is_ssl: bool + ssl: Union[SSLContext, bool, Fingerprint] + proxy: Optional[URL] + proxy_auth: Optional[BasicAuth] + proxy_headers_hash: Optional[int] # hash(CIMultiDict) + + +def _is_expected_content_type( + response_content_type: str, expected_content_type: str +) -> bool: + if expected_content_type == "application/json": + return json_re.match(response_content_type) is not None + return expected_content_type in response_content_type + + +def _warn_if_unclosed_payload(payload: payload.Payload, stacklevel: int = 2) -> None: + """Warn if the payload is not closed. + + Callers must check that the body is a Payload before calling this method. + + Args: + payload: The payload to check + stacklevel: Stack level for the warning (default 2 for direct callers) + """ + if not payload.autoclose and not payload.consumed: + warnings.warn( + "The previous request body contains unclosed resources. " + "Use await request.update_body() instead of setting request.body " + "directly to properly close resources and avoid leaks.", + ResourceWarning, + stacklevel=stacklevel, + ) + + +class ClientResponse(HeadersMixin): + + # Some of these attributes are None when created, + # but will be set by the start() method. + # As the end user will likely never see the None values, we cheat the types below. + # from the Status-Line of the response + version: Optional[HttpVersion] = None # HTTP-Version + status: int = None # type: ignore[assignment] # Status-Code + reason: Optional[str] = None # Reason-Phrase + + content: StreamReader = None # type: ignore[assignment] # Payload stream + _body: Optional[bytes] = None + _headers: CIMultiDictProxy[str] = None # type: ignore[assignment] + _history: Tuple["ClientResponse", ...] = () + _raw_headers: RawHeaders = None # type: ignore[assignment] + + _connection: Optional["Connection"] = None # current connection + _cookies: Optional[SimpleCookie] = None + _raw_cookie_headers: Optional[Tuple[str, ...]] = None + _continue: Optional["asyncio.Future[bool]"] = None + _source_traceback: Optional[traceback.StackSummary] = None + _session: Optional["ClientSession"] = None + # set up by ClientRequest after ClientResponse object creation + # post-init stage allows to not change ctor signature + _closed = True # to allow __del__ for non-initialized properly response + _released = False + _in_context = False + + _resolve_charset: Callable[["ClientResponse", bytes], str] = lambda *_: "utf-8" + + __writer: Optional["asyncio.Task[None]"] = None + + def __init__( + self, + method: str, + url: URL, + *, + writer: "Optional[asyncio.Task[None]]", + continue100: Optional["asyncio.Future[bool]"], + timer: BaseTimerContext, + request_info: RequestInfo, + traces: List["Trace"], + loop: asyncio.AbstractEventLoop, + session: "ClientSession", + ) -> None: + # URL forbids subclasses, so a simple type check is enough. + assert type(url) is URL + + self.method = method + + self._real_url = url + self._url = url.with_fragment(None) if url.raw_fragment else url + if writer is not None: + self._writer = writer + if continue100 is not None: + self._continue = continue100 + self._request_info = request_info + self._timer = timer if timer is not None else TimerNoop() + self._cache: Dict[str, Any] = {} + self._traces = traces + self._loop = loop + # Save reference to _resolve_charset, so that get_encoding() will still + # work after the response has finished reading the body. + # TODO: Fix session=None in tests (see ClientRequest.__init__). + if session is not None: + # store a reference to session #1985 + self._session = session + self._resolve_charset = session._resolve_charset + if loop.get_debug(): + self._source_traceback = traceback.extract_stack(sys._getframe(1)) + + def __reset_writer(self, _: object = None) -> None: + self.__writer = None + + @property + def _writer(self) -> Optional["asyncio.Task[None]"]: + """The writer task for streaming data. + + _writer is only provided for backwards compatibility + for subclasses that may need to access it. + """ + return self.__writer + + @_writer.setter + def _writer(self, writer: Optional["asyncio.Task[None]"]) -> None: + """Set the writer task for streaming data.""" + if self.__writer is not None: + self.__writer.remove_done_callback(self.__reset_writer) + self.__writer = writer + if writer is None: + return + if writer.done(): + # The writer is already done, so we can clear it immediately. + self.__writer = None + else: + writer.add_done_callback(self.__reset_writer) + + @property + def cookies(self) -> SimpleCookie: + if self._cookies is None: + if self._raw_cookie_headers is not None: + # Parse cookies for response.cookies (SimpleCookie for backward compatibility) + cookies = SimpleCookie() + # Use parse_set_cookie_headers for more lenient parsing that handles + # malformed cookies better than SimpleCookie.load + cookies.update(parse_set_cookie_headers(self._raw_cookie_headers)) + self._cookies = cookies + else: + self._cookies = SimpleCookie() + return self._cookies + + @cookies.setter + def cookies(self, cookies: SimpleCookie) -> None: + self._cookies = cookies + # Generate raw cookie headers from the SimpleCookie + if cookies: + self._raw_cookie_headers = tuple( + morsel.OutputString() for morsel in cookies.values() + ) + else: + self._raw_cookie_headers = None + + @reify + def url(self) -> URL: + return self._url + + @reify + def url_obj(self) -> URL: + warnings.warn("Deprecated, use .url #1654", DeprecationWarning, stacklevel=2) + return self._url + + @reify + def real_url(self) -> URL: + return self._real_url + + @reify + def host(self) -> str: + assert self._url.host is not None + return self._url.host + + @reify + def headers(self) -> "CIMultiDictProxy[str]": + return self._headers + + @reify + def raw_headers(self) -> RawHeaders: + return self._raw_headers + + @reify + def request_info(self) -> RequestInfo: + return self._request_info + + @reify + def content_disposition(self) -> Optional[ContentDisposition]: + raw = self._headers.get(hdrs.CONTENT_DISPOSITION) + if raw is None: + return None + disposition_type, params_dct = multipart.parse_content_disposition(raw) + params = MappingProxyType(params_dct) + filename = multipart.content_disposition_filename(params) + return ContentDisposition(disposition_type, params, filename) + + def __del__(self, _warnings: Any = warnings) -> None: + if self._closed: + return + + if self._connection is not None: + self._connection.release() + self._cleanup_writer() + + if self._loop.get_debug(): + kwargs = {"source": self} + _warnings.warn(f"Unclosed response {self!r}", ResourceWarning, **kwargs) + context = {"client_response": self, "message": "Unclosed response"} + if self._source_traceback: + context["source_traceback"] = self._source_traceback + self._loop.call_exception_handler(context) + + def __repr__(self) -> str: + out = io.StringIO() + ascii_encodable_url = str(self.url) + if self.reason: + ascii_encodable_reason = self.reason.encode( + "ascii", "backslashreplace" + ).decode("ascii") + else: + ascii_encodable_reason = "None" + print( + "".format( + ascii_encodable_url, self.status, ascii_encodable_reason + ), + file=out, + ) + print(self.headers, file=out) + return out.getvalue() + + @property + def connection(self) -> Optional["Connection"]: + return self._connection + + @reify + def history(self) -> Tuple["ClientResponse", ...]: + """A sequence of of responses, if redirects occurred.""" + return self._history + + @reify + def links(self) -> "MultiDictProxy[MultiDictProxy[Union[str, URL]]]": + links_str = ", ".join(self.headers.getall("link", [])) + + if not links_str: + return MultiDictProxy(MultiDict()) + + links: MultiDict[MultiDictProxy[Union[str, URL]]] = MultiDict() + + for val in re.split(r",(?=\s*<)", links_str): + match = re.match(r"\s*<(.*)>(.*)", val) + if match is None: # pragma: no cover + # the check exists to suppress mypy error + continue + url, params_str = match.groups() + params = params_str.split(";")[1:] + + link: MultiDict[Union[str, URL]] = MultiDict() + + for param in params: + match = re.match(r"^\s*(\S*)\s*=\s*(['\"]?)(.*?)(\2)\s*$", param, re.M) + if match is None: # pragma: no cover + # the check exists to suppress mypy error + continue + key, _, value, _ = match.groups() + + link.add(key, value) + + key = link.get("rel", url) + + link.add("url", self.url.join(URL(url))) + + links.add(str(key), MultiDictProxy(link)) + + return MultiDictProxy(links) + + async def start(self, connection: "Connection") -> "ClientResponse": + """Start response processing.""" + self._closed = False + self._protocol = connection.protocol + self._connection = connection + + with self._timer: + while True: + # read response + try: + protocol = self._protocol + message, payload = await protocol.read() # type: ignore[union-attr] + except http.HttpProcessingError as exc: + raise ClientResponseError( + self.request_info, + self.history, + status=exc.code, + message=exc.message, + headers=exc.headers, + ) from exc + + if message.code < 100 or message.code > 199 or message.code == 101: + break + + if self._continue is not None: + set_result(self._continue, True) + self._continue = None + + # payload eof handler + payload.on_eof(self._response_eof) + + # response status + self.version = message.version + self.status = message.code + self.reason = message.reason + + # headers + self._headers = message.headers # type is CIMultiDictProxy + self._raw_headers = message.raw_headers # type is Tuple[bytes, bytes] + + # payload + self.content = payload + + # cookies + if cookie_hdrs := self.headers.getall(hdrs.SET_COOKIE, ()): + # Store raw cookie headers for CookieJar + self._raw_cookie_headers = tuple(cookie_hdrs) + return self + + def _response_eof(self) -> None: + if self._closed: + return + + # protocol could be None because connection could be detached + protocol = self._connection and self._connection.protocol + if protocol is not None and protocol.upgraded: + return + + self._closed = True + self._cleanup_writer() + self._release_connection() + + @property + def closed(self) -> bool: + return self._closed + + def close(self) -> None: + if not self._released: + self._notify_content() + + self._closed = True + if self._loop is None or self._loop.is_closed(): + return + + self._cleanup_writer() + if self._connection is not None: + self._connection.close() + self._connection = None + + def release(self) -> Any: + if not self._released: + self._notify_content() + + self._closed = True + + self._cleanup_writer() + self._release_connection() + return noop() + + @property + def ok(self) -> bool: + """Returns ``True`` if ``status`` is less than ``400``, ``False`` if not. + + This is **not** a check for ``200 OK`` but a check that the response + status is under 400. + """ + return 400 > self.status + + def raise_for_status(self) -> None: + if not self.ok: + # reason should always be not None for a started response + assert self.reason is not None + + # If we're in a context we can rely on __aexit__() to release as the + # exception propagates. + if not self._in_context: + self.release() + + raise ClientResponseError( + self.request_info, + self.history, + status=self.status, + message=self.reason, + headers=self.headers, + ) + + def _release_connection(self) -> None: + if self._connection is not None: + if self.__writer is None: + self._connection.release() + self._connection = None + else: + self.__writer.add_done_callback(lambda f: self._release_connection()) + + async def _wait_released(self) -> None: + if self.__writer is not None: + try: + await self.__writer + except asyncio.CancelledError: + if ( + sys.version_info >= (3, 11) + and (task := asyncio.current_task()) + and task.cancelling() + ): + raise + self._release_connection() + + def _cleanup_writer(self) -> None: + if self.__writer is not None: + self.__writer.cancel() + self._session = None + + def _notify_content(self) -> None: + content = self.content + if content and content.exception() is None: + set_exception(content, _CONNECTION_CLOSED_EXCEPTION) + self._released = True + + async def wait_for_close(self) -> None: + if self.__writer is not None: + try: + await self.__writer + except asyncio.CancelledError: + if ( + sys.version_info >= (3, 11) + and (task := asyncio.current_task()) + and task.cancelling() + ): + raise + self.release() + + async def read(self) -> bytes: + """Read response payload.""" + if self._body is None: + try: + self._body = await self.content.read() + for trace in self._traces: + await trace.send_response_chunk_received( + self.method, self.url, self._body + ) + except BaseException: + self.close() + raise + elif self._released: # Response explicitly released + raise ClientConnectionError("Connection closed") + + protocol = self._connection and self._connection.protocol + if protocol is None or not protocol.upgraded: + await self._wait_released() # Underlying connection released + return self._body + + def get_encoding(self) -> str: + ctype = self.headers.get(hdrs.CONTENT_TYPE, "").lower() + mimetype = helpers.parse_mimetype(ctype) + + encoding = mimetype.parameters.get("charset") + if encoding: + with contextlib.suppress(LookupError, ValueError): + return codecs.lookup(encoding).name + + if mimetype.type == "application" and ( + mimetype.subtype == "json" or mimetype.subtype == "rdap" + ): + # RFC 7159 states that the default encoding is UTF-8. + # RFC 7483 defines application/rdap+json + return "utf-8" + + if self._body is None: + raise RuntimeError( + "Cannot compute fallback encoding of a not yet read body" + ) + + return self._resolve_charset(self, self._body) + + async def text(self, encoding: Optional[str] = None, errors: str = "strict") -> str: + """Read response payload and decode.""" + if self._body is None: + await self.read() + + if encoding is None: + encoding = self.get_encoding() + + return self._body.decode(encoding, errors=errors) # type: ignore[union-attr] + + async def json( + self, + *, + encoding: Optional[str] = None, + loads: JSONDecoder = DEFAULT_JSON_DECODER, + content_type: Optional[str] = "application/json", + ) -> Any: + """Read and decodes JSON response.""" + if self._body is None: + await self.read() + + if content_type: + ctype = self.headers.get(hdrs.CONTENT_TYPE, "").lower() + if not _is_expected_content_type(ctype, content_type): + raise ContentTypeError( + self.request_info, + self.history, + status=self.status, + message=( + "Attempt to decode JSON with unexpected mimetype: %s" % ctype + ), + headers=self.headers, + ) + + stripped = self._body.strip() # type: ignore[union-attr] + if not stripped: + return None + + if encoding is None: + encoding = self.get_encoding() + + return loads(stripped.decode(encoding)) + + async def __aenter__(self) -> "ClientResponse": + self._in_context = True + return self + + async def __aexit__( + self, + exc_type: Optional[Type[BaseException]], + exc_val: Optional[BaseException], + exc_tb: Optional[TracebackType], + ) -> None: + self._in_context = False + # similar to _RequestContextManager, we do not need to check + # for exceptions, response object can close connection + # if state is broken + self.release() + await self.wait_for_close() + + +class ClientRequest: + GET_METHODS = { + hdrs.METH_GET, + hdrs.METH_HEAD, + hdrs.METH_OPTIONS, + hdrs.METH_TRACE, + } + POST_METHODS = {hdrs.METH_PATCH, hdrs.METH_POST, hdrs.METH_PUT} + ALL_METHODS = GET_METHODS.union(POST_METHODS).union({hdrs.METH_DELETE}) + + DEFAULT_HEADERS = { + hdrs.ACCEPT: "*/*", + hdrs.ACCEPT_ENCODING: _gen_default_accept_encoding(), + } + + # Type of body depends on PAYLOAD_REGISTRY, which is dynamic. + _body: Union[None, payload.Payload] = None + auth = None + response = None + + __writer: Optional["asyncio.Task[None]"] = None # async task for streaming data + + # These class defaults help create_autospec() work correctly. + # If autospec is improved in future, maybe these can be removed. + url = URL() + method = "GET" + + _continue = None # waiter future for '100 Continue' response + + _skip_auto_headers: Optional["CIMultiDict[None]"] = None + + # N.B. + # Adding __del__ method with self._writer closing doesn't make sense + # because _writer is instance method, thus it keeps a reference to self. + # Until writer has finished finalizer will not be called. + + def __init__( + self, + method: str, + url: URL, + *, + params: Query = None, + headers: Optional[LooseHeaders] = None, + skip_auto_headers: Optional[Iterable[str]] = None, + data: Any = None, + cookies: Optional[LooseCookies] = None, + auth: Optional[BasicAuth] = None, + version: http.HttpVersion = http.HttpVersion11, + compress: Union[str, bool, None] = None, + chunked: Optional[bool] = None, + expect100: bool = False, + loop: Optional[asyncio.AbstractEventLoop] = None, + response_class: Optional[Type["ClientResponse"]] = None, + proxy: Optional[URL] = None, + proxy_auth: Optional[BasicAuth] = None, + timer: Optional[BaseTimerContext] = None, + session: Optional["ClientSession"] = None, + ssl: Union[SSLContext, bool, Fingerprint] = True, + proxy_headers: Optional[LooseHeaders] = None, + traces: Optional[List["Trace"]] = None, + trust_env: bool = False, + server_hostname: Optional[str] = None, + ): + if loop is None: + loop = asyncio.get_event_loop() + if match := _CONTAINS_CONTROL_CHAR_RE.search(method): + raise ValueError( + f"Method cannot contain non-token characters {method!r} " + f"(found at least {match.group()!r})" + ) + # URL forbids subclasses, so a simple type check is enough. + assert type(url) is URL, url + if proxy is not None: + assert type(proxy) is URL, proxy + # FIXME: session is None in tests only, need to fix tests + # assert session is not None + if TYPE_CHECKING: + assert session is not None + self._session = session + if params: + url = url.extend_query(params) + self.original_url = url + self.url = url.with_fragment(None) if url.raw_fragment else url + self.method = method.upper() + self.chunked = chunked + self.compress = compress + self.loop = loop + self.length = None + if response_class is None: + real_response_class = ClientResponse + else: + real_response_class = response_class + self.response_class: Type[ClientResponse] = real_response_class + self._timer = timer if timer is not None else TimerNoop() + self._ssl = ssl if ssl is not None else True + self.server_hostname = server_hostname + + if loop.get_debug(): + self._source_traceback = traceback.extract_stack(sys._getframe(1)) + + self.update_version(version) + self.update_host(url) + self.update_headers(headers) + self.update_auto_headers(skip_auto_headers) + self.update_cookies(cookies) + self.update_content_encoding(data) + self.update_auth(auth, trust_env) + self.update_proxy(proxy, proxy_auth, proxy_headers) + + self.update_body_from_data(data) + if data is not None or self.method not in self.GET_METHODS: + self.update_transfer_encoding() + self.update_expect_continue(expect100) + self._traces = [] if traces is None else traces + + def __reset_writer(self, _: object = None) -> None: + self.__writer = None + + def _get_content_length(self) -> Optional[int]: + """Extract and validate Content-Length header value. + + Returns parsed Content-Length value or None if not set. + Raises ValueError if header exists but cannot be parsed as an integer. + """ + if hdrs.CONTENT_LENGTH not in self.headers: + return None + + content_length_hdr = self.headers[hdrs.CONTENT_LENGTH] + try: + return int(content_length_hdr) + except ValueError: + raise ValueError( + f"Invalid Content-Length header: {content_length_hdr}" + ) from None + + @property + def skip_auto_headers(self) -> CIMultiDict[None]: + return self._skip_auto_headers or CIMultiDict() + + @property + def _writer(self) -> Optional["asyncio.Task[None]"]: + return self.__writer + + @_writer.setter + def _writer(self, writer: "asyncio.Task[None]") -> None: + if self.__writer is not None: + self.__writer.remove_done_callback(self.__reset_writer) + self.__writer = writer + writer.add_done_callback(self.__reset_writer) + + def is_ssl(self) -> bool: + return self.url.scheme in _SSL_SCHEMES + + @property + def ssl(self) -> Union["SSLContext", bool, Fingerprint]: + return self._ssl + + @property + def connection_key(self) -> ConnectionKey: + if proxy_headers := self.proxy_headers: + h: Optional[int] = hash(tuple(proxy_headers.items())) + else: + h = None + url = self.url + return tuple.__new__( + ConnectionKey, + ( + url.raw_host or "", + url.port, + url.scheme in _SSL_SCHEMES, + self._ssl, + self.proxy, + self.proxy_auth, + h, + ), + ) + + @property + def host(self) -> str: + ret = self.url.raw_host + assert ret is not None + return ret + + @property + def port(self) -> Optional[int]: + return self.url.port + + @property + def body(self) -> Union[payload.Payload, Literal[b""]]: + """Request body.""" + # empty body is represented as bytes for backwards compatibility + return self._body or b"" + + @body.setter + def body(self, value: Any) -> None: + """Set request body with warning for non-autoclose payloads. + + WARNING: This setter must be called from within an event loop and is not + thread-safe. Setting body outside of an event loop may raise RuntimeError + when closing file-based payloads. + + DEPRECATED: Direct assignment to body is deprecated and will be removed + in a future version. Use await update_body() instead for proper resource + management. + """ + # Close existing payload if present + if self._body is not None: + # Warn if the payload needs manual closing + # stacklevel=3: user code -> body setter -> _warn_if_unclosed_payload + _warn_if_unclosed_payload(self._body, stacklevel=3) + # NOTE: In the future, when we remove sync close support, + # this setter will need to be removed and only the async + # update_body() method will be available. For now, we call + # _close() for backwards compatibility. + self._body._close() + self._update_body(value) + + @property + def request_info(self) -> RequestInfo: + headers: CIMultiDictProxy[str] = CIMultiDictProxy(self.headers) + # These are created on every request, so we use a NamedTuple + # for performance reasons. We don't use the RequestInfo.__new__ + # method because it has a different signature which is provided + # for backwards compatibility only. + return tuple.__new__( + RequestInfo, (self.url, self.method, headers, self.original_url) + ) + + @property + def session(self) -> "ClientSession": + """Return the ClientSession instance. + + This property provides access to the ClientSession that initiated + this request, allowing middleware to make additional requests + using the same session. + """ + return self._session + + def update_host(self, url: URL) -> None: + """Update destination host, port and connection type (ssl).""" + # get host/port + if not url.raw_host: + raise InvalidURL(url) + + # basic auth info + if url.raw_user or url.raw_password: + self.auth = helpers.BasicAuth(url.user or "", url.password or "") + + def update_version(self, version: Union[http.HttpVersion, str]) -> None: + """Convert request version to two elements tuple. + + parser HTTP version '1.1' => (1, 1) + """ + if isinstance(version, str): + v = [part.strip() for part in version.split(".", 1)] + try: + version = http.HttpVersion(int(v[0]), int(v[1])) + except ValueError: + raise ValueError( + f"Can not parse http version number: {version}" + ) from None + self.version = version + + def update_headers(self, headers: Optional[LooseHeaders]) -> None: + """Update request headers.""" + self.headers: CIMultiDict[str] = CIMultiDict() + + # Build the host header + host = self.url.host_port_subcomponent + + # host_port_subcomponent is None when the URL is a relative URL. + # but we know we do not have a relative URL here. + assert host is not None + self.headers[hdrs.HOST] = host + + if not headers: + return + + if isinstance(headers, (dict, MultiDictProxy, MultiDict)): + headers = headers.items() + + for key, value in headers: # type: ignore[misc] + # A special case for Host header + if key in hdrs.HOST_ALL: + self.headers[key] = value + else: + self.headers.add(key, value) + + def update_auto_headers(self, skip_auto_headers: Optional[Iterable[str]]) -> None: + if skip_auto_headers is not None: + self._skip_auto_headers = CIMultiDict( + (hdr, None) for hdr in sorted(skip_auto_headers) + ) + used_headers = self.headers.copy() + used_headers.extend(self._skip_auto_headers) # type: ignore[arg-type] + else: + # Fast path when there are no headers to skip + # which is the most common case. + used_headers = self.headers + + for hdr, val in self.DEFAULT_HEADERS.items(): + if hdr not in used_headers: + self.headers[hdr] = val + + if hdrs.USER_AGENT not in used_headers: + self.headers[hdrs.USER_AGENT] = SERVER_SOFTWARE + + def update_cookies(self, cookies: Optional[LooseCookies]) -> None: + """Update request cookies header.""" + if not cookies: + return + + c = SimpleCookie() + if hdrs.COOKIE in self.headers: + # parse_cookie_header for RFC 6265 compliant Cookie header parsing + c.update(parse_cookie_header(self.headers.get(hdrs.COOKIE, ""))) + del self.headers[hdrs.COOKIE] + + if isinstance(cookies, Mapping): + iter_cookies = cookies.items() + else: + iter_cookies = cookies # type: ignore[assignment] + for name, value in iter_cookies: + if isinstance(value, Morsel): + # Use helper to preserve coded_value exactly as sent by server + c[name] = preserve_morsel_with_coded_value(value) + else: + c[name] = value # type: ignore[assignment] + + self.headers[hdrs.COOKIE] = c.output(header="", sep=";").strip() + + def update_content_encoding(self, data: Any) -> None: + """Set request content encoding.""" + if not data: + # Don't compress an empty body. + self.compress = None + return + + if self.headers.get(hdrs.CONTENT_ENCODING): + if self.compress: + raise ValueError( + "compress can not be set if Content-Encoding header is set" + ) + elif self.compress: + if not isinstance(self.compress, str): + self.compress = "deflate" + self.headers[hdrs.CONTENT_ENCODING] = self.compress + self.chunked = True # enable chunked, no need to deal with length + + def update_transfer_encoding(self) -> None: + """Analyze transfer-encoding header.""" + te = self.headers.get(hdrs.TRANSFER_ENCODING, "").lower() + + if "chunked" in te: + if self.chunked: + raise ValueError( + "chunked can not be set " + 'if "Transfer-Encoding: chunked" header is set' + ) + + elif self.chunked: + if hdrs.CONTENT_LENGTH in self.headers: + raise ValueError( + "chunked can not be set if Content-Length header is set" + ) + + self.headers[hdrs.TRANSFER_ENCODING] = "chunked" + + def update_auth(self, auth: Optional[BasicAuth], trust_env: bool = False) -> None: + """Set basic auth.""" + if auth is None: + auth = self.auth + if auth is None: + return + + if not isinstance(auth, helpers.BasicAuth): + raise TypeError("BasicAuth() tuple is required instead") + + self.headers[hdrs.AUTHORIZATION] = auth.encode() + + def update_body_from_data(self, body: Any, _stacklevel: int = 3) -> None: + """Update request body from data.""" + if self._body is not None: + _warn_if_unclosed_payload(self._body, stacklevel=_stacklevel) + + if body is None: + self._body = None + # Set Content-Length to 0 when body is None for methods that expect a body + if ( + self.method not in self.GET_METHODS + and not self.chunked + and hdrs.CONTENT_LENGTH not in self.headers + ): + self.headers[hdrs.CONTENT_LENGTH] = "0" + return + + # FormData + maybe_payload = body() if isinstance(body, FormData) else body + + try: + body_payload = payload.PAYLOAD_REGISTRY.get(maybe_payload, disposition=None) + except payload.LookupError: + body_payload = FormData(maybe_payload)() # type: ignore[arg-type] + + self._body = body_payload + # enable chunked encoding if needed + if not self.chunked and hdrs.CONTENT_LENGTH not in self.headers: + if (size := body_payload.size) is not None: + self.headers[hdrs.CONTENT_LENGTH] = str(size) + else: + self.chunked = True + + # copy payload headers + assert body_payload.headers + headers = self.headers + skip_headers = self._skip_auto_headers + for key, value in body_payload.headers.items(): + if key in headers or (skip_headers is not None and key in skip_headers): + continue + headers[key] = value + + def _update_body(self, body: Any) -> None: + """Update request body after its already been set.""" + # Remove existing Content-Length header since body is changing + if hdrs.CONTENT_LENGTH in self.headers: + del self.headers[hdrs.CONTENT_LENGTH] + + # Remove existing Transfer-Encoding header to avoid conflicts + if self.chunked and hdrs.TRANSFER_ENCODING in self.headers: + del self.headers[hdrs.TRANSFER_ENCODING] + + # Now update the body using the existing method + # Called from _update_body, add 1 to stacklevel from caller + self.update_body_from_data(body, _stacklevel=4) + + # Update transfer encoding headers if needed (same logic as __init__) + if body is not None or self.method not in self.GET_METHODS: + self.update_transfer_encoding() + + async def update_body(self, body: Any) -> None: + """ + Update request body and close previous payload if needed. + + This method safely updates the request body by first closing any existing + payload to prevent resource leaks, then setting the new body. + + IMPORTANT: Always use this method instead of setting request.body directly. + Direct assignment to request.body will leak resources if the previous body + contains file handles, streams, or other resources that need cleanup. + + Args: + body: The new body content. Can be: + - bytes/bytearray: Raw binary data + - str: Text data (will be encoded using charset from Content-Type) + - FormData: Form data that will be encoded as multipart/form-data + - Payload: A pre-configured payload object + - AsyncIterable: An async iterable of bytes chunks + - File-like object: Will be read and sent as binary data + - None: Clears the body + + Usage: + # CORRECT: Use update_body + await request.update_body(b"new request data") + + # WRONG: Don't set body directly + # request.body = b"new request data" # This will leak resources! + + # Update with form data + form_data = FormData() + form_data.add_field('field', 'value') + await request.update_body(form_data) + + # Clear body + await request.update_body(None) + + Note: + This method is async because it may need to close file handles or + other resources associated with the previous payload. Always await + this method to ensure proper cleanup. + + Warning: + Setting request.body directly is highly discouraged and can lead to: + - Resource leaks (unclosed file handles, streams) + - Memory leaks (unreleased buffers) + - Unexpected behavior with streaming payloads + + It is not recommended to change the payload type in middleware. If the + body was already set (e.g., as bytes), it's best to keep the same type + rather than converting it (e.g., to str) as this may result in unexpected + behavior. + + See Also: + - update_body_from_data: Synchronous body update without cleanup + - body property: Direct body access (STRONGLY DISCOURAGED) + + """ + # Close existing payload if it exists and needs closing + if self._body is not None: + await self._body.close() + self._update_body(body) + + def update_expect_continue(self, expect: bool = False) -> None: + if expect: + self.headers[hdrs.EXPECT] = "100-continue" + elif ( + hdrs.EXPECT in self.headers + and self.headers[hdrs.EXPECT].lower() == "100-continue" + ): + expect = True + + if expect: + self._continue = self.loop.create_future() + + def update_proxy( + self, + proxy: Optional[URL], + proxy_auth: Optional[BasicAuth], + proxy_headers: Optional[LooseHeaders], + ) -> None: + self.proxy = proxy + if proxy is None: + self.proxy_auth = None + self.proxy_headers = None + return + + if proxy_auth and not isinstance(proxy_auth, helpers.BasicAuth): + raise ValueError("proxy_auth must be None or BasicAuth() tuple") + self.proxy_auth = proxy_auth + + if proxy_headers is not None and not isinstance( + proxy_headers, (MultiDict, MultiDictProxy) + ): + proxy_headers = CIMultiDict(proxy_headers) + self.proxy_headers = proxy_headers + + async def write_bytes( + self, + writer: AbstractStreamWriter, + conn: "Connection", + content_length: Optional[int] = None, + ) -> None: + """ + Write the request body to the connection stream. + + This method handles writing different types of request bodies: + 1. Payload objects (using their specialized write_with_length method) + 2. Bytes/bytearray objects + 3. Iterable body content + + Args: + writer: The stream writer to write the body to + conn: The connection being used for this request + content_length: Optional maximum number of bytes to write from the body + (None means write the entire body) + + The method properly handles: + - Waiting for 100-Continue responses if required + - Content length constraints for chunked encoding + - Error handling for network issues, cancellation, and other exceptions + - Signaling EOF and timeout management + + Raises: + ClientOSError: When there's an OS-level error writing the body + ClientConnectionError: When there's a general connection error + asyncio.CancelledError: When the operation is cancelled + + """ + # 100 response + if self._continue is not None: + # Force headers to be sent before waiting for 100-continue + writer.send_headers() + await writer.drain() + await self._continue + + protocol = conn.protocol + assert protocol is not None + try: + # This should be a rare case but the + # self._body can be set to None while + # the task is being started or we wait above + # for the 100-continue response. + # The more likely case is we have an empty + # payload, but 100-continue is still expected. + if self._body is not None: + await self._body.write_with_length(writer, content_length) + except OSError as underlying_exc: + reraised_exc = underlying_exc + + # Distinguish between timeout and other OS errors for better error reporting + exc_is_not_timeout = underlying_exc.errno is not None or not isinstance( + underlying_exc, asyncio.TimeoutError + ) + if exc_is_not_timeout: + reraised_exc = ClientOSError( + underlying_exc.errno, + f"Can not write request body for {self.url !s}", + ) + + set_exception(protocol, reraised_exc, underlying_exc) + except asyncio.CancelledError: + # Body hasn't been fully sent, so connection can't be reused + conn.close() + raise + except Exception as underlying_exc: + set_exception( + protocol, + ClientConnectionError( + "Failed to send bytes into the underlying connection " + f"{conn !s}: {underlying_exc!r}", + ), + underlying_exc, + ) + else: + # Successfully wrote the body, signal EOF and start response timeout + await writer.write_eof() + protocol.start_timeout() + + async def send(self, conn: "Connection") -> "ClientResponse": + # Specify request target: + # - CONNECT request must send authority form URI + # - not CONNECT proxy must send absolute form URI + # - most common is origin form URI + if self.method == hdrs.METH_CONNECT: + connect_host = self.url.host_subcomponent + assert connect_host is not None + path = f"{connect_host}:{self.url.port}" + elif self.proxy and not self.is_ssl(): + path = str(self.url) + else: + path = self.url.raw_path_qs + + protocol = conn.protocol + assert protocol is not None + writer = StreamWriter( + protocol, + self.loop, + on_chunk_sent=( + functools.partial(self._on_chunk_request_sent, self.method, self.url) + if self._traces + else None + ), + on_headers_sent=( + functools.partial(self._on_headers_request_sent, self.method, self.url) + if self._traces + else None + ), + ) + + if self.compress: + writer.enable_compression(self.compress) # type: ignore[arg-type] + + if self.chunked is not None: + writer.enable_chunking() + + # set default content-type + if ( + self.method in self.POST_METHODS + and ( + self._skip_auto_headers is None + or hdrs.CONTENT_TYPE not in self._skip_auto_headers + ) + and hdrs.CONTENT_TYPE not in self.headers + ): + self.headers[hdrs.CONTENT_TYPE] = "application/octet-stream" + + v = self.version + if hdrs.CONNECTION not in self.headers: + if conn._connector.force_close: + if v == HttpVersion11: + self.headers[hdrs.CONNECTION] = "close" + elif v == HttpVersion10: + self.headers[hdrs.CONNECTION] = "keep-alive" + + # status + headers + status_line = f"{self.method} {path} HTTP/{v.major}.{v.minor}" + + # Buffer headers for potential coalescing with body + await writer.write_headers(status_line, self.headers) + + task: Optional["asyncio.Task[None]"] + if self._body or self._continue is not None or protocol.writing_paused: + coro = self.write_bytes(writer, conn, self._get_content_length()) + if sys.version_info >= (3, 12): + # Optimization for Python 3.12, try to write + # bytes immediately to avoid having to schedule + # the task on the event loop. + task = asyncio.Task(coro, loop=self.loop, eager_start=True) + else: + task = self.loop.create_task(coro) + if task.done(): + task = None + else: + self._writer = task + else: + # We have nothing to write because + # - there is no body + # - the protocol does not have writing paused + # - we are not waiting for a 100-continue response + protocol.start_timeout() + writer.set_eof() + task = None + response_class = self.response_class + assert response_class is not None + self.response = response_class( + self.method, + self.original_url, + writer=task, + continue100=self._continue, + timer=self._timer, + request_info=self.request_info, + traces=self._traces, + loop=self.loop, + session=self._session, + ) + return self.response + + async def close(self) -> None: + if self.__writer is not None: + try: + await self.__writer + except asyncio.CancelledError: + if ( + sys.version_info >= (3, 11) + and (task := asyncio.current_task()) + and task.cancelling() + ): + raise + + def terminate(self) -> None: + if self.__writer is not None: + if not self.loop.is_closed(): + self.__writer.cancel() + self.__writer.remove_done_callback(self.__reset_writer) + self.__writer = None + + async def _on_chunk_request_sent(self, method: str, url: URL, chunk: bytes) -> None: + for trace in self._traces: + await trace.send_request_chunk_sent(method, url, chunk) + + async def _on_headers_request_sent( + self, method: str, url: URL, headers: "CIMultiDict[str]" + ) -> None: + for trace in self._traces: + await trace.send_request_headers(method, url, headers) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_ws.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_ws.py new file mode 100644 index 0000000000000000000000000000000000000000..daa57d1930b1b0cfc03594aaae62bd93da5da165 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/client_ws.py @@ -0,0 +1,428 @@ +"""WebSocket client for asyncio.""" + +import asyncio +import sys +from types import TracebackType +from typing import Any, Optional, Type, cast + +import attr + +from ._websocket.reader import WebSocketDataQueue +from .client_exceptions import ClientError, ServerTimeoutError, WSMessageTypeError +from .client_reqrep import ClientResponse +from .helpers import calculate_timeout_when, set_result +from .http import ( + WS_CLOSED_MESSAGE, + WS_CLOSING_MESSAGE, + WebSocketError, + WSCloseCode, + WSMessage, + WSMsgType, +) +from .http_websocket import _INTERNAL_RECEIVE_TYPES, WebSocketWriter +from .streams import EofStream +from .typedefs import ( + DEFAULT_JSON_DECODER, + DEFAULT_JSON_ENCODER, + JSONDecoder, + JSONEncoder, +) + +if sys.version_info >= (3, 11): + import asyncio as async_timeout +else: + import async_timeout + + +@attr.s(frozen=True, slots=True) +class ClientWSTimeout: + ws_receive = attr.ib(type=Optional[float], default=None) + ws_close = attr.ib(type=Optional[float], default=None) + + +DEFAULT_WS_CLIENT_TIMEOUT = ClientWSTimeout(ws_receive=None, ws_close=10.0) + + +class ClientWebSocketResponse: + def __init__( + self, + reader: WebSocketDataQueue, + writer: WebSocketWriter, + protocol: Optional[str], + response: ClientResponse, + timeout: ClientWSTimeout, + autoclose: bool, + autoping: bool, + loop: asyncio.AbstractEventLoop, + *, + heartbeat: Optional[float] = None, + compress: int = 0, + client_notakeover: bool = False, + ) -> None: + self._response = response + self._conn = response.connection + + self._writer = writer + self._reader = reader + self._protocol = protocol + self._closed = False + self._closing = False + self._close_code: Optional[int] = None + self._timeout = timeout + self._autoclose = autoclose + self._autoping = autoping + self._heartbeat = heartbeat + self._heartbeat_cb: Optional[asyncio.TimerHandle] = None + self._heartbeat_when: float = 0.0 + if heartbeat is not None: + self._pong_heartbeat = heartbeat / 2.0 + self._pong_response_cb: Optional[asyncio.TimerHandle] = None + self._loop = loop + self._waiting: bool = False + self._close_wait: Optional[asyncio.Future[None]] = None + self._exception: Optional[BaseException] = None + self._compress = compress + self._client_notakeover = client_notakeover + self._ping_task: Optional[asyncio.Task[None]] = None + + self._reset_heartbeat() + + def _cancel_heartbeat(self) -> None: + self._cancel_pong_response_cb() + if self._heartbeat_cb is not None: + self._heartbeat_cb.cancel() + self._heartbeat_cb = None + if self._ping_task is not None: + self._ping_task.cancel() + self._ping_task = None + + def _cancel_pong_response_cb(self) -> None: + if self._pong_response_cb is not None: + self._pong_response_cb.cancel() + self._pong_response_cb = None + + def _reset_heartbeat(self) -> None: + if self._heartbeat is None: + return + self._cancel_pong_response_cb() + loop = self._loop + assert loop is not None + conn = self._conn + timeout_ceil_threshold = ( + conn._connector._timeout_ceil_threshold if conn is not None else 5 + ) + now = loop.time() + when = calculate_timeout_when(now, self._heartbeat, timeout_ceil_threshold) + self._heartbeat_when = when + if self._heartbeat_cb is None: + # We do not cancel the previous heartbeat_cb here because + # it generates a significant amount of TimerHandle churn + # which causes asyncio to rebuild the heap frequently. + # Instead _send_heartbeat() will reschedule the next + # heartbeat if it fires too early. + self._heartbeat_cb = loop.call_at(when, self._send_heartbeat) + + def _send_heartbeat(self) -> None: + self._heartbeat_cb = None + loop = self._loop + now = loop.time() + if now < self._heartbeat_when: + # Heartbeat fired too early, reschedule + self._heartbeat_cb = loop.call_at( + self._heartbeat_when, self._send_heartbeat + ) + return + + conn = self._conn + timeout_ceil_threshold = ( + conn._connector._timeout_ceil_threshold if conn is not None else 5 + ) + when = calculate_timeout_when(now, self._pong_heartbeat, timeout_ceil_threshold) + self._cancel_pong_response_cb() + self._pong_response_cb = loop.call_at(when, self._pong_not_received) + + coro = self._writer.send_frame(b"", WSMsgType.PING) + if sys.version_info >= (3, 12): + # Optimization for Python 3.12, try to send the ping + # immediately to avoid having to schedule + # the task on the event loop. + ping_task = asyncio.Task(coro, loop=loop, eager_start=True) + else: + ping_task = loop.create_task(coro) + + if not ping_task.done(): + self._ping_task = ping_task + ping_task.add_done_callback(self._ping_task_done) + else: + self._ping_task_done(ping_task) + + def _ping_task_done(self, task: "asyncio.Task[None]") -> None: + """Callback for when the ping task completes.""" + if not task.cancelled() and (exc := task.exception()): + self._handle_ping_pong_exception(exc) + self._ping_task = None + + def _pong_not_received(self) -> None: + self._handle_ping_pong_exception( + ServerTimeoutError(f"No PONG received after {self._pong_heartbeat} seconds") + ) + + def _handle_ping_pong_exception(self, exc: BaseException) -> None: + """Handle exceptions raised during ping/pong processing.""" + if self._closed: + return + self._set_closed() + self._close_code = WSCloseCode.ABNORMAL_CLOSURE + self._exception = exc + self._response.close() + if self._waiting and not self._closing: + self._reader.feed_data(WSMessage(WSMsgType.ERROR, exc, None), 0) + + def _set_closed(self) -> None: + """Set the connection to closed. + + Cancel any heartbeat timers and set the closed flag. + """ + self._closed = True + self._cancel_heartbeat() + + def _set_closing(self) -> None: + """Set the connection to closing. + + Cancel any heartbeat timers and set the closing flag. + """ + self._closing = True + self._cancel_heartbeat() + + @property + def closed(self) -> bool: + return self._closed + + @property + def close_code(self) -> Optional[int]: + return self._close_code + + @property + def protocol(self) -> Optional[str]: + return self._protocol + + @property + def compress(self) -> int: + return self._compress + + @property + def client_notakeover(self) -> bool: + return self._client_notakeover + + def get_extra_info(self, name: str, default: Any = None) -> Any: + """extra info from connection transport""" + conn = self._response.connection + if conn is None: + return default + transport = conn.transport + if transport is None: + return default + return transport.get_extra_info(name, default) + + def exception(self) -> Optional[BaseException]: + return self._exception + + async def ping(self, message: bytes = b"") -> None: + await self._writer.send_frame(message, WSMsgType.PING) + + async def pong(self, message: bytes = b"") -> None: + await self._writer.send_frame(message, WSMsgType.PONG) + + async def send_frame( + self, message: bytes, opcode: WSMsgType, compress: Optional[int] = None + ) -> None: + """Send a frame over the websocket.""" + await self._writer.send_frame(message, opcode, compress) + + async def send_str(self, data: str, compress: Optional[int] = None) -> None: + if not isinstance(data, str): + raise TypeError("data argument must be str (%r)" % type(data)) + await self._writer.send_frame( + data.encode("utf-8"), WSMsgType.TEXT, compress=compress + ) + + async def send_bytes(self, data: bytes, compress: Optional[int] = None) -> None: + if not isinstance(data, (bytes, bytearray, memoryview)): + raise TypeError("data argument must be byte-ish (%r)" % type(data)) + await self._writer.send_frame(data, WSMsgType.BINARY, compress=compress) + + async def send_json( + self, + data: Any, + compress: Optional[int] = None, + *, + dumps: JSONEncoder = DEFAULT_JSON_ENCODER, + ) -> None: + await self.send_str(dumps(data), compress=compress) + + async def close(self, *, code: int = WSCloseCode.OK, message: bytes = b"") -> bool: + # we need to break `receive()` cycle first, + # `close()` may be called from different task + if self._waiting and not self._closing: + assert self._loop is not None + self._close_wait = self._loop.create_future() + self._set_closing() + self._reader.feed_data(WS_CLOSING_MESSAGE, 0) + await self._close_wait + + if self._closed: + return False + + self._set_closed() + try: + await self._writer.close(code, message) + except asyncio.CancelledError: + self._close_code = WSCloseCode.ABNORMAL_CLOSURE + self._response.close() + raise + except Exception as exc: + self._close_code = WSCloseCode.ABNORMAL_CLOSURE + self._exception = exc + self._response.close() + return True + + if self._close_code: + self._response.close() + return True + + while True: + try: + async with async_timeout.timeout(self._timeout.ws_close): + msg = await self._reader.read() + except asyncio.CancelledError: + self._close_code = WSCloseCode.ABNORMAL_CLOSURE + self._response.close() + raise + except Exception as exc: + self._close_code = WSCloseCode.ABNORMAL_CLOSURE + self._exception = exc + self._response.close() + return True + + if msg.type is WSMsgType.CLOSE: + self._close_code = msg.data + self._response.close() + return True + + async def receive(self, timeout: Optional[float] = None) -> WSMessage: + receive_timeout = timeout or self._timeout.ws_receive + + while True: + if self._waiting: + raise RuntimeError("Concurrent call to receive() is not allowed") + + if self._closed: + return WS_CLOSED_MESSAGE + elif self._closing: + await self.close() + return WS_CLOSED_MESSAGE + + try: + self._waiting = True + try: + if receive_timeout: + # Entering the context manager and creating + # Timeout() object can take almost 50% of the + # run time in this loop so we avoid it if + # there is no read timeout. + async with async_timeout.timeout(receive_timeout): + msg = await self._reader.read() + else: + msg = await self._reader.read() + self._reset_heartbeat() + finally: + self._waiting = False + if self._close_wait: + set_result(self._close_wait, None) + except (asyncio.CancelledError, asyncio.TimeoutError): + self._close_code = WSCloseCode.ABNORMAL_CLOSURE + raise + except EofStream: + self._close_code = WSCloseCode.OK + await self.close() + return WSMessage(WSMsgType.CLOSED, None, None) + except ClientError: + # Likely ServerDisconnectedError when connection is lost + self._set_closed() + self._close_code = WSCloseCode.ABNORMAL_CLOSURE + return WS_CLOSED_MESSAGE + except WebSocketError as exc: + self._close_code = exc.code + await self.close(code=exc.code) + return WSMessage(WSMsgType.ERROR, exc, None) + except Exception as exc: + self._exception = exc + self._set_closing() + self._close_code = WSCloseCode.ABNORMAL_CLOSURE + await self.close() + return WSMessage(WSMsgType.ERROR, exc, None) + + if msg.type not in _INTERNAL_RECEIVE_TYPES: + # If its not a close/closing/ping/pong message + # we can return it immediately + return msg + + if msg.type is WSMsgType.CLOSE: + self._set_closing() + self._close_code = msg.data + if not self._closed and self._autoclose: + await self.close() + elif msg.type is WSMsgType.CLOSING: + self._set_closing() + elif msg.type is WSMsgType.PING and self._autoping: + await self.pong(msg.data) + continue + elif msg.type is WSMsgType.PONG and self._autoping: + continue + + return msg + + async def receive_str(self, *, timeout: Optional[float] = None) -> str: + msg = await self.receive(timeout) + if msg.type is not WSMsgType.TEXT: + raise WSMessageTypeError( + f"Received message {msg.type}:{msg.data!r} is not WSMsgType.TEXT" + ) + return cast(str, msg.data) + + async def receive_bytes(self, *, timeout: Optional[float] = None) -> bytes: + msg = await self.receive(timeout) + if msg.type is not WSMsgType.BINARY: + raise WSMessageTypeError( + f"Received message {msg.type}:{msg.data!r} is not WSMsgType.BINARY" + ) + return cast(bytes, msg.data) + + async def receive_json( + self, + *, + loads: JSONDecoder = DEFAULT_JSON_DECODER, + timeout: Optional[float] = None, + ) -> Any: + data = await self.receive_str(timeout=timeout) + return loads(data) + + def __aiter__(self) -> "ClientWebSocketResponse": + return self + + async def __anext__(self) -> WSMessage: + msg = await self.receive() + if msg.type in (WSMsgType.CLOSE, WSMsgType.CLOSING, WSMsgType.CLOSED): + raise StopAsyncIteration + return msg + + async def __aenter__(self) -> "ClientWebSocketResponse": + return self + + async def __aexit__( + self, + exc_type: Optional[Type[BaseException]], + exc_val: Optional[BaseException], + exc_tb: Optional[TracebackType], + ) -> None: + await self.close() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/compression_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/compression_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..e478d24c3d70105e6796007808462c4159f8c833 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/compression_utils.py @@ -0,0 +1,348 @@ +import asyncio +import sys +import zlib +from abc import ABC, abstractmethod +from concurrent.futures import Executor +from typing import Any, Final, Optional, Protocol, TypedDict, cast + +if sys.version_info >= (3, 12): + from collections.abc import Buffer +else: + from typing import Union + + Buffer = Union[bytes, bytearray, "memoryview[int]", "memoryview[bytes]"] + +try: + try: + import brotlicffi as brotli + except ImportError: + import brotli + + HAS_BROTLI = True +except ImportError: # pragma: no cover + HAS_BROTLI = False + +try: + if sys.version_info >= (3, 14): + from compression.zstd import ZstdDecompressor # noqa: I900 + else: # TODO(PY314): Remove mentions of backports.zstd across codebase + from backports.zstd import ZstdDecompressor + + HAS_ZSTD = True +except ImportError: + HAS_ZSTD = False + + +MAX_SYNC_CHUNK_SIZE = 4096 +DEFAULT_MAX_DECOMPRESS_SIZE = 2**25 # 32MiB + +# Unlimited decompression constants - different libraries use different conventions +ZLIB_MAX_LENGTH_UNLIMITED = 0 # zlib uses 0 to mean unlimited +ZSTD_MAX_LENGTH_UNLIMITED = -1 # zstd uses -1 to mean unlimited + + +class ZLibCompressObjProtocol(Protocol): + def compress(self, data: Buffer) -> bytes: ... + def flush(self, mode: int = ..., /) -> bytes: ... + + +class ZLibDecompressObjProtocol(Protocol): + def decompress(self, data: Buffer, max_length: int = ...) -> bytes: ... + def flush(self, length: int = ..., /) -> bytes: ... + + @property + def eof(self) -> bool: ... + + +class ZLibBackendProtocol(Protocol): + MAX_WBITS: int + Z_FULL_FLUSH: int + Z_SYNC_FLUSH: int + Z_BEST_SPEED: int + Z_FINISH: int + + def compressobj( + self, + level: int = ..., + method: int = ..., + wbits: int = ..., + memLevel: int = ..., + strategy: int = ..., + zdict: Optional[Buffer] = ..., + ) -> ZLibCompressObjProtocol: ... + def decompressobj( + self, wbits: int = ..., zdict: Buffer = ... + ) -> ZLibDecompressObjProtocol: ... + + def compress( + self, data: Buffer, /, level: int = ..., wbits: int = ... + ) -> bytes: ... + def decompress( + self, data: Buffer, /, wbits: int = ..., bufsize: int = ... + ) -> bytes: ... + + +class CompressObjArgs(TypedDict, total=False): + wbits: int + strategy: int + level: int + + +class ZLibBackendWrapper: + def __init__(self, _zlib_backend: ZLibBackendProtocol): + self._zlib_backend: ZLibBackendProtocol = _zlib_backend + + @property + def name(self) -> str: + return getattr(self._zlib_backend, "__name__", "undefined") + + @property + def MAX_WBITS(self) -> int: + return self._zlib_backend.MAX_WBITS + + @property + def Z_FULL_FLUSH(self) -> int: + return self._zlib_backend.Z_FULL_FLUSH + + @property + def Z_SYNC_FLUSH(self) -> int: + return self._zlib_backend.Z_SYNC_FLUSH + + @property + def Z_BEST_SPEED(self) -> int: + return self._zlib_backend.Z_BEST_SPEED + + @property + def Z_FINISH(self) -> int: + return self._zlib_backend.Z_FINISH + + def compressobj(self, *args: Any, **kwargs: Any) -> ZLibCompressObjProtocol: + return self._zlib_backend.compressobj(*args, **kwargs) + + def decompressobj(self, *args: Any, **kwargs: Any) -> ZLibDecompressObjProtocol: + return self._zlib_backend.decompressobj(*args, **kwargs) + + def compress(self, data: Buffer, *args: Any, **kwargs: Any) -> bytes: + return self._zlib_backend.compress(data, *args, **kwargs) + + def decompress(self, data: Buffer, *args: Any, **kwargs: Any) -> bytes: + return self._zlib_backend.decompress(data, *args, **kwargs) + + # Everything not explicitly listed in the Protocol we just pass through + def __getattr__(self, attrname: str) -> Any: + return getattr(self._zlib_backend, attrname) + + +ZLibBackend: ZLibBackendWrapper = ZLibBackendWrapper(zlib) + + +def set_zlib_backend(new_zlib_backend: ZLibBackendProtocol) -> None: + ZLibBackend._zlib_backend = new_zlib_backend + + +def encoding_to_mode( + encoding: Optional[str] = None, + suppress_deflate_header: bool = False, +) -> int: + if encoding == "gzip": + return 16 + ZLibBackend.MAX_WBITS + + return -ZLibBackend.MAX_WBITS if suppress_deflate_header else ZLibBackend.MAX_WBITS + + +class DecompressionBaseHandler(ABC): + def __init__( + self, + executor: Optional[Executor] = None, + max_sync_chunk_size: Optional[int] = MAX_SYNC_CHUNK_SIZE, + ): + """Base class for decompression handlers.""" + self._executor = executor + self._max_sync_chunk_size = max_sync_chunk_size + + @abstractmethod + def decompress_sync( + self, data: bytes, max_length: int = ZLIB_MAX_LENGTH_UNLIMITED + ) -> bytes: + """Decompress the given data.""" + + async def decompress( + self, data: bytes, max_length: int = ZLIB_MAX_LENGTH_UNLIMITED + ) -> bytes: + """Decompress the given data.""" + if ( + self._max_sync_chunk_size is not None + and len(data) > self._max_sync_chunk_size + ): + return await asyncio.get_event_loop().run_in_executor( + self._executor, self.decompress_sync, data, max_length + ) + return self.decompress_sync(data, max_length) + + +class ZLibCompressor: + def __init__( + self, + encoding: Optional[str] = None, + suppress_deflate_header: bool = False, + level: Optional[int] = None, + wbits: Optional[int] = None, + strategy: Optional[int] = None, + executor: Optional[Executor] = None, + max_sync_chunk_size: Optional[int] = MAX_SYNC_CHUNK_SIZE, + ): + self._executor = executor + self._max_sync_chunk_size = max_sync_chunk_size + self._mode = ( + encoding_to_mode(encoding, suppress_deflate_header) + if wbits is None + else wbits + ) + self._zlib_backend: Final = ZLibBackendWrapper(ZLibBackend._zlib_backend) + + kwargs: CompressObjArgs = {} + kwargs["wbits"] = self._mode + if strategy is not None: + kwargs["strategy"] = strategy + if level is not None: + kwargs["level"] = level + self._compressor = self._zlib_backend.compressobj(**kwargs) + + def compress_sync(self, data: bytes) -> bytes: + return self._compressor.compress(data) + + async def compress(self, data: bytes) -> bytes: + """Compress the data and returned the compressed bytes. + + Note that flush() must be called after the last call to compress() + + If the data size is large than the max_sync_chunk_size, the compression + will be done in the executor. Otherwise, the compression will be done + in the event loop. + + **WARNING: This method is NOT cancellation-safe when used with flush().** + If this operation is cancelled, the compressor state may be corrupted. + The connection MUST be closed after cancellation to avoid data corruption + in subsequent compress operations. + + For cancellation-safe compression (e.g., WebSocket), the caller MUST wrap + compress() + flush() + send operations in a shield and lock to ensure atomicity. + """ + # For large payloads, offload compression to executor to avoid blocking event loop + should_use_executor = ( + self._max_sync_chunk_size is not None + and len(data) > self._max_sync_chunk_size + ) + if should_use_executor: + return await asyncio.get_running_loop().run_in_executor( + self._executor, self._compressor.compress, data + ) + return self.compress_sync(data) + + def flush(self, mode: Optional[int] = None) -> bytes: + """Flush the compressor synchronously. + + **WARNING: This method is NOT cancellation-safe when called after compress().** + The flush() operation accesses shared compressor state. If compress() was + cancelled, calling flush() may result in corrupted data. The connection MUST + be closed after compress() cancellation. + + For cancellation-safe compression (e.g., WebSocket), the caller MUST wrap + compress() + flush() + send operations in a shield and lock to ensure atomicity. + """ + return self._compressor.flush( + mode if mode is not None else self._zlib_backend.Z_FINISH + ) + + +class ZLibDecompressor(DecompressionBaseHandler): + def __init__( + self, + encoding: Optional[str] = None, + suppress_deflate_header: bool = False, + executor: Optional[Executor] = None, + max_sync_chunk_size: Optional[int] = MAX_SYNC_CHUNK_SIZE, + ): + super().__init__(executor=executor, max_sync_chunk_size=max_sync_chunk_size) + self._mode = encoding_to_mode(encoding, suppress_deflate_header) + self._zlib_backend: Final = ZLibBackendWrapper(ZLibBackend._zlib_backend) + self._decompressor = self._zlib_backend.decompressobj(wbits=self._mode) + + def decompress_sync( + self, data: Buffer, max_length: int = ZLIB_MAX_LENGTH_UNLIMITED + ) -> bytes: + return self._decompressor.decompress(data, max_length) + + def flush(self, length: int = 0) -> bytes: + return ( + self._decompressor.flush(length) + if length > 0 + else self._decompressor.flush() + ) + + @property + def eof(self) -> bool: + return self._decompressor.eof + + +class BrotliDecompressor(DecompressionBaseHandler): + # Supports both 'brotlipy' and 'Brotli' packages + # since they share an import name. The top branches + # are for 'brotlipy' and bottom branches for 'Brotli' + def __init__( + self, + executor: Optional[Executor] = None, + max_sync_chunk_size: Optional[int] = MAX_SYNC_CHUNK_SIZE, + ) -> None: + """Decompress data using the Brotli library.""" + if not HAS_BROTLI: + raise RuntimeError( + "The brotli decompression is not available. " + "Please install `Brotli` module" + ) + self._obj = brotli.Decompressor() + super().__init__(executor=executor, max_sync_chunk_size=max_sync_chunk_size) + + def decompress_sync( + self, data: Buffer, max_length: int = ZLIB_MAX_LENGTH_UNLIMITED + ) -> bytes: + """Decompress the given data.""" + if hasattr(self._obj, "decompress"): + return cast(bytes, self._obj.decompress(data, max_length)) + return cast(bytes, self._obj.process(data, max_length)) + + def flush(self) -> bytes: + """Flush the decompressor.""" + if hasattr(self._obj, "flush"): + return cast(bytes, self._obj.flush()) + return b"" + + +class ZSTDDecompressor(DecompressionBaseHandler): + def __init__( + self, + executor: Optional[Executor] = None, + max_sync_chunk_size: Optional[int] = MAX_SYNC_CHUNK_SIZE, + ) -> None: + if not HAS_ZSTD: + raise RuntimeError( + "The zstd decompression is not available. " + "Please install `backports.zstd` module" + ) + self._obj = ZstdDecompressor() + super().__init__(executor=executor, max_sync_chunk_size=max_sync_chunk_size) + + def decompress_sync( + self, data: bytes, max_length: int = ZLIB_MAX_LENGTH_UNLIMITED + ) -> bytes: + # zstd uses -1 for unlimited, while zlib uses 0 for unlimited + # Convert the zlib convention (0=unlimited) to zstd convention (-1=unlimited) + zstd_max_length = ( + ZSTD_MAX_LENGTH_UNLIMITED + if max_length == ZLIB_MAX_LENGTH_UNLIMITED + else max_length + ) + return self._obj.decompress(data, zstd_max_length) + + def flush(self) -> bytes: + return b"" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/connector.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/connector.py new file mode 100644 index 0000000000000000000000000000000000000000..290a42400f9af5257e1ca1511c3db7bd0570e9bd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/connector.py @@ -0,0 +1,1842 @@ +import asyncio +import functools +import random +import socket +import sys +import traceback +import warnings +from collections import OrderedDict, defaultdict, deque +from contextlib import suppress +from http import HTTPStatus +from itertools import chain, cycle, islice +from time import monotonic +from types import TracebackType +from typing import ( + TYPE_CHECKING, + Any, + Awaitable, + Callable, + DefaultDict, + Deque, + Dict, + Iterator, + List, + Literal, + Optional, + Sequence, + Set, + Tuple, + Type, + Union, + cast, +) + +import aiohappyeyeballs +from aiohappyeyeballs import AddrInfoType, SocketFactoryType + +from . import hdrs, helpers +from .abc import AbstractResolver, ResolveResult +from .client_exceptions import ( + ClientConnectionError, + ClientConnectorCertificateError, + ClientConnectorDNSError, + ClientConnectorError, + ClientConnectorSSLError, + ClientHttpProxyError, + ClientProxyConnectionError, + ServerFingerprintMismatch, + UnixClientConnectorError, + cert_errors, + ssl_errors, +) +from .client_proto import ResponseHandler +from .client_reqrep import ClientRequest, Fingerprint, _merge_ssl_params +from .helpers import ( + _SENTINEL, + ceil_timeout, + is_ip_address, + noop, + sentinel, + set_exception, + set_result, +) +from .log import client_logger +from .resolver import DefaultResolver + +if sys.version_info >= (3, 12): + from collections.abc import Buffer +else: + Buffer = Union[bytes, bytearray, "memoryview[int]", "memoryview[bytes]"] + +if TYPE_CHECKING: + import ssl + + SSLContext = ssl.SSLContext +else: + try: + import ssl + + SSLContext = ssl.SSLContext + except ImportError: # pragma: no cover + ssl = None # type: ignore[assignment] + SSLContext = object # type: ignore[misc,assignment] + +EMPTY_SCHEMA_SET = frozenset({""}) +HTTP_SCHEMA_SET = frozenset({"http", "https"}) +WS_SCHEMA_SET = frozenset({"ws", "wss"}) + +HTTP_AND_EMPTY_SCHEMA_SET = HTTP_SCHEMA_SET | EMPTY_SCHEMA_SET +HIGH_LEVEL_SCHEMA_SET = HTTP_AND_EMPTY_SCHEMA_SET | WS_SCHEMA_SET + +NEEDS_CLEANUP_CLOSED = (3, 13, 0) <= sys.version_info < ( + 3, + 13, + 1, +) or sys.version_info < (3, 12, 7) +# Cleanup closed is no longer needed after https://github.com/python/cpython/pull/118960 +# which first appeared in Python 3.12.7 and 3.13.1 + + +__all__ = ( + "BaseConnector", + "TCPConnector", + "UnixConnector", + "NamedPipeConnector", + "AddrInfoType", + "SocketFactoryType", +) + + +if TYPE_CHECKING: + from .client import ClientTimeout + from .client_reqrep import ConnectionKey + from .tracing import Trace + + +class _DeprecationWaiter: + __slots__ = ("_awaitable", "_awaited") + + def __init__(self, awaitable: Awaitable[Any]) -> None: + self._awaitable = awaitable + self._awaited = False + + def __await__(self) -> Any: + self._awaited = True + return self._awaitable.__await__() + + def __del__(self) -> None: + if not self._awaited: + warnings.warn( + "Connector.close() is a coroutine, " + "please use await connector.close()", + DeprecationWarning, + ) + + +async def _wait_for_close(waiters: List[Awaitable[object]]) -> None: + """Wait for all waiters to finish closing.""" + results = await asyncio.gather(*waiters, return_exceptions=True) + for res in results: + if isinstance(res, Exception): + client_logger.debug("Error while closing connector: %r", res) + + +class Connection: + + _source_traceback = None + + def __init__( + self, + connector: "BaseConnector", + key: "ConnectionKey", + protocol: ResponseHandler, + loop: asyncio.AbstractEventLoop, + ) -> None: + self._key = key + self._connector = connector + self._loop = loop + self._protocol: Optional[ResponseHandler] = protocol + self._callbacks: List[Callable[[], None]] = [] + + if loop.get_debug(): + self._source_traceback = traceback.extract_stack(sys._getframe(1)) + + def __repr__(self) -> str: + return f"Connection<{self._key}>" + + def __del__(self, _warnings: Any = warnings) -> None: + if self._protocol is not None: + kwargs = {"source": self} + _warnings.warn(f"Unclosed connection {self!r}", ResourceWarning, **kwargs) + if self._loop.is_closed(): + return + + self._connector._release(self._key, self._protocol, should_close=True) + + context = {"client_connection": self, "message": "Unclosed connection"} + if self._source_traceback is not None: + context["source_traceback"] = self._source_traceback + self._loop.call_exception_handler(context) + + def __bool__(self) -> Literal[True]: + """Force subclasses to not be falsy, to make checks simpler.""" + return True + + @property + def loop(self) -> asyncio.AbstractEventLoop: + warnings.warn( + "connector.loop property is deprecated", DeprecationWarning, stacklevel=2 + ) + return self._loop + + @property + def transport(self) -> Optional[asyncio.Transport]: + if self._protocol is None: + return None + return self._protocol.transport + + @property + def protocol(self) -> Optional[ResponseHandler]: + return self._protocol + + def add_callback(self, callback: Callable[[], None]) -> None: + if callback is not None: + self._callbacks.append(callback) + + def _notify_release(self) -> None: + callbacks, self._callbacks = self._callbacks[:], [] + + for cb in callbacks: + with suppress(Exception): + cb() + + def close(self) -> None: + self._notify_release() + + if self._protocol is not None: + self._connector._release(self._key, self._protocol, should_close=True) + self._protocol = None + + def release(self) -> None: + self._notify_release() + + if self._protocol is not None: + self._connector._release(self._key, self._protocol) + self._protocol = None + + @property + def closed(self) -> bool: + return self._protocol is None or not self._protocol.is_connected() + + +class _ConnectTunnelConnection(Connection): + """Special connection wrapper for CONNECT tunnels that must never be pooled. + + This connection wraps the proxy connection that will be upgraded with TLS. + It must never be released to the pool because: + 1. Its 'closed' future will never complete, causing session.close() to hang + 2. It represents an intermediate state, not a reusable connection + 3. The real connection (with TLS) will be created separately + """ + + def release(self) -> None: + """Do nothing - don't pool or close the connection. + + These connections are an intermediate state during the CONNECT tunnel + setup and will be cleaned up naturally after the TLS upgrade. If they + were to be pooled, they would never be properly closed, causing + session.close() to wait forever for their 'closed' future. + """ + + +class _TransportPlaceholder: + """placeholder for BaseConnector.connect function""" + + __slots__ = ("closed", "transport") + + def __init__(self, closed_future: asyncio.Future[Optional[Exception]]) -> None: + """Initialize a placeholder for a transport.""" + self.closed = closed_future + self.transport = None + + def close(self) -> None: + """Close the placeholder.""" + + def abort(self) -> None: + """Abort the placeholder (does nothing).""" + + +class BaseConnector: + """Base connector class. + + keepalive_timeout - (optional) Keep-alive timeout. + force_close - Set to True to force close and do reconnect + after each request (and between redirects). + limit - The total number of simultaneous connections. + limit_per_host - Number of simultaneous connections to one host. + enable_cleanup_closed - Enables clean-up closed ssl transports. + Disabled by default. + timeout_ceil_threshold - Trigger ceiling of timeout values when + it's above timeout_ceil_threshold. + loop - Optional event loop. + """ + + _closed = True # prevent AttributeError in __del__ if ctor was failed + _source_traceback = None + + # abort transport after 2 seconds (cleanup broken connections) + _cleanup_closed_period = 2.0 + + allowed_protocol_schema_set = HIGH_LEVEL_SCHEMA_SET + + def __init__( + self, + *, + keepalive_timeout: Union[object, None, float] = sentinel, + force_close: bool = False, + limit: int = 100, + limit_per_host: int = 0, + enable_cleanup_closed: bool = False, + loop: Optional[asyncio.AbstractEventLoop] = None, + timeout_ceil_threshold: float = 5, + ) -> None: + + if force_close: + if keepalive_timeout is not None and keepalive_timeout is not sentinel: + raise ValueError( + "keepalive_timeout cannot be set if force_close is True" + ) + else: + if keepalive_timeout is sentinel: + keepalive_timeout = 15.0 + + loop = loop or asyncio.get_running_loop() + self._timeout_ceil_threshold = timeout_ceil_threshold + + self._closed = False + if loop.get_debug(): + self._source_traceback = traceback.extract_stack(sys._getframe(1)) + + # Connection pool of reusable connections. + # We use a deque to store connections because it has O(1) popleft() + # and O(1) append() operations to implement a FIFO queue. + self._conns: DefaultDict[ + ConnectionKey, Deque[Tuple[ResponseHandler, float]] + ] = defaultdict(deque) + self._limit = limit + self._limit_per_host = limit_per_host + self._acquired: Set[ResponseHandler] = set() + self._acquired_per_host: DefaultDict[ConnectionKey, Set[ResponseHandler]] = ( + defaultdict(set) + ) + self._keepalive_timeout = cast(float, keepalive_timeout) + self._force_close = force_close + + # {host_key: FIFO list of waiters} + # The FIFO is implemented with an OrderedDict with None keys because + # python does not have an ordered set. + self._waiters: DefaultDict[ + ConnectionKey, OrderedDict[asyncio.Future[None], None] + ] = defaultdict(OrderedDict) + + self._loop = loop + self._factory = functools.partial(ResponseHandler, loop=loop) + + # start keep-alive connection cleanup task + self._cleanup_handle: Optional[asyncio.TimerHandle] = None + + # start cleanup closed transports task + self._cleanup_closed_handle: Optional[asyncio.TimerHandle] = None + + if enable_cleanup_closed and not NEEDS_CLEANUP_CLOSED: + warnings.warn( + "enable_cleanup_closed ignored because " + "https://github.com/python/cpython/pull/118960 is fixed " + f"in Python version {sys.version_info}", + DeprecationWarning, + stacklevel=2, + ) + enable_cleanup_closed = False + + self._cleanup_closed_disabled = not enable_cleanup_closed + self._cleanup_closed_transports: List[Optional[asyncio.Transport]] = [] + self._placeholder_future: asyncio.Future[Optional[Exception]] = ( + loop.create_future() + ) + self._placeholder_future.set_result(None) + self._cleanup_closed() + + def __del__(self, _warnings: Any = warnings) -> None: + if self._closed: + return + if not self._conns: + return + + conns = [repr(c) for c in self._conns.values()] + + self._close() + + kwargs = {"source": self} + _warnings.warn(f"Unclosed connector {self!r}", ResourceWarning, **kwargs) + context = { + "connector": self, + "connections": conns, + "message": "Unclosed connector", + } + if self._source_traceback is not None: + context["source_traceback"] = self._source_traceback + self._loop.call_exception_handler(context) + + def __enter__(self) -> "BaseConnector": + warnings.warn( + '"with Connector():" is deprecated, ' + 'use "async with Connector():" instead', + DeprecationWarning, + ) + return self + + def __exit__(self, *exc: Any) -> None: + self._close() + + async def __aenter__(self) -> "BaseConnector": + return self + + async def __aexit__( + self, + exc_type: Optional[Type[BaseException]] = None, + exc_value: Optional[BaseException] = None, + exc_traceback: Optional[TracebackType] = None, + ) -> None: + await self.close() + + @property + def force_close(self) -> bool: + """Ultimately close connection on releasing if True.""" + return self._force_close + + @property + def limit(self) -> int: + """The total number for simultaneous connections. + + If limit is 0 the connector has no limit. + The default limit size is 100. + """ + return self._limit + + @property + def limit_per_host(self) -> int: + """The limit for simultaneous connections to the same endpoint. + + Endpoints are the same if they are have equal + (host, port, is_ssl) triple. + """ + return self._limit_per_host + + def _cleanup(self) -> None: + """Cleanup unused transports.""" + if self._cleanup_handle: + self._cleanup_handle.cancel() + # _cleanup_handle should be unset, otherwise _release() will not + # recreate it ever! + self._cleanup_handle = None + + now = monotonic() + timeout = self._keepalive_timeout + + if self._conns: + connections = defaultdict(deque) + deadline = now - timeout + for key, conns in self._conns.items(): + alive: Deque[Tuple[ResponseHandler, float]] = deque() + for proto, use_time in conns: + if proto.is_connected() and use_time - deadline >= 0: + alive.append((proto, use_time)) + continue + transport = proto.transport + proto.close() + if not self._cleanup_closed_disabled and key.is_ssl: + self._cleanup_closed_transports.append(transport) + + if alive: + connections[key] = alive + + self._conns = connections + + if self._conns: + self._cleanup_handle = helpers.weakref_handle( + self, + "_cleanup", + timeout, + self._loop, + timeout_ceil_threshold=self._timeout_ceil_threshold, + ) + + def _cleanup_closed(self) -> None: + """Double confirmation for transport close. + + Some broken ssl servers may leave socket open without proper close. + """ + if self._cleanup_closed_handle: + self._cleanup_closed_handle.cancel() + + for transport in self._cleanup_closed_transports: + if transport is not None: + transport.abort() + + self._cleanup_closed_transports = [] + + if not self._cleanup_closed_disabled: + self._cleanup_closed_handle = helpers.weakref_handle( + self, + "_cleanup_closed", + self._cleanup_closed_period, + self._loop, + timeout_ceil_threshold=self._timeout_ceil_threshold, + ) + + def close(self, *, abort_ssl: bool = False) -> Awaitable[None]: + """Close all opened transports. + + :param abort_ssl: If True, SSL connections will be aborted immediately + without performing the shutdown handshake. This provides + faster cleanup at the cost of less graceful disconnection. + """ + if not (waiters := self._close(abort_ssl=abort_ssl)): + # If there are no connections to close, we can return a noop + # awaitable to avoid scheduling a task on the event loop. + return _DeprecationWaiter(noop()) + coro = _wait_for_close(waiters) + if sys.version_info >= (3, 12): + # Optimization for Python 3.12, try to close connections + # immediately to avoid having to schedule the task on the event loop. + task = asyncio.Task(coro, loop=self._loop, eager_start=True) + else: + task = self._loop.create_task(coro) + return _DeprecationWaiter(task) + + def _close(self, *, abort_ssl: bool = False) -> List[Awaitable[object]]: + waiters: List[Awaitable[object]] = [] + + if self._closed: + return waiters + + self._closed = True + + try: + if self._loop.is_closed(): + return waiters + + # cancel cleanup task + if self._cleanup_handle: + self._cleanup_handle.cancel() + + # cancel cleanup close task + if self._cleanup_closed_handle: + self._cleanup_closed_handle.cancel() + + for data in self._conns.values(): + for proto, _ in data: + if ( + abort_ssl + and proto.transport + and proto.transport.get_extra_info("sslcontext") is not None + ): + proto.abort() + else: + proto.close() + if closed := proto.closed: + waiters.append(closed) + + for proto in self._acquired: + if ( + abort_ssl + and proto.transport + and proto.transport.get_extra_info("sslcontext") is not None + ): + proto.abort() + else: + proto.close() + if closed := proto.closed: + waiters.append(closed) + + for transport in self._cleanup_closed_transports: + if transport is not None: + transport.abort() + + return waiters + + finally: + self._conns.clear() + self._acquired.clear() + for keyed_waiters in self._waiters.values(): + for keyed_waiter in keyed_waiters: + keyed_waiter.cancel() + self._waiters.clear() + self._cleanup_handle = None + self._cleanup_closed_transports.clear() + self._cleanup_closed_handle = None + + @property + def closed(self) -> bool: + """Is connector closed. + + A readonly property. + """ + return self._closed + + def _available_connections(self, key: "ConnectionKey") -> int: + """ + Return number of available connections. + + The limit, limit_per_host and the connection key are taken into account. + + If it returns less than 1 means that there are no connections + available. + """ + # check total available connections + # If there are no limits, this will always return 1 + total_remain = 1 + + if self._limit and (total_remain := self._limit - len(self._acquired)) <= 0: + return total_remain + + # check limit per host + if host_remain := self._limit_per_host: + if acquired := self._acquired_per_host.get(key): + host_remain -= len(acquired) + if total_remain > host_remain: + return host_remain + + return total_remain + + def _update_proxy_auth_header_and_build_proxy_req( + self, req: ClientRequest + ) -> ClientRequest: + """Set Proxy-Authorization header for non-SSL proxy requests and builds the proxy request for SSL proxy requests.""" + url = req.proxy + assert url is not None + headers: Dict[str, str] = {} + if req.proxy_headers is not None: + headers = req.proxy_headers # type: ignore[assignment] + headers[hdrs.HOST] = req.headers[hdrs.HOST] + proxy_req = ClientRequest( + hdrs.METH_GET, + url, + headers=headers, + auth=req.proxy_auth, + loop=self._loop, + ssl=req.ssl, + ) + auth = proxy_req.headers.pop(hdrs.AUTHORIZATION, None) + if auth is not None: + if not req.is_ssl(): + req.headers[hdrs.PROXY_AUTHORIZATION] = auth + else: + proxy_req.headers[hdrs.PROXY_AUTHORIZATION] = auth + return proxy_req + + async def connect( + self, req: ClientRequest, traces: List["Trace"], timeout: "ClientTimeout" + ) -> Connection: + """Get from pool or create new connection.""" + key = req.connection_key + if (conn := await self._get(key, traces)) is not None: + # If we do not have to wait and we can get a connection from the pool + # we can avoid the timeout ceil logic and directly return the connection + if req.proxy: + self._update_proxy_auth_header_and_build_proxy_req(req) + return conn + + async with ceil_timeout(timeout.connect, timeout.ceil_threshold): + if self._available_connections(key) <= 0: + await self._wait_for_available_connection(key, traces) + if (conn := await self._get(key, traces)) is not None: + if req.proxy: + self._update_proxy_auth_header_and_build_proxy_req(req) + return conn + + placeholder = cast( + ResponseHandler, _TransportPlaceholder(self._placeholder_future) + ) + self._acquired.add(placeholder) + if self._limit_per_host: + self._acquired_per_host[key].add(placeholder) + + try: + # Traces are done inside the try block to ensure that the + # that the placeholder is still cleaned up if an exception + # is raised. + if traces: + for trace in traces: + await trace.send_connection_create_start() + proto = await self._create_connection(req, traces, timeout) + if traces: + for trace in traces: + await trace.send_connection_create_end() + except BaseException: + self._release_acquired(key, placeholder) + raise + else: + if self._closed: + proto.close() + raise ClientConnectionError("Connector is closed.") + + # The connection was successfully created, drop the placeholder + # and add the real connection to the acquired set. There should + # be no awaits after the proto is added to the acquired set + # to ensure that the connection is not left in the acquired set + # on cancellation. + self._acquired.remove(placeholder) + self._acquired.add(proto) + if self._limit_per_host: + acquired_per_host = self._acquired_per_host[key] + acquired_per_host.remove(placeholder) + acquired_per_host.add(proto) + return Connection(self, key, proto, self._loop) + + async def _wait_for_available_connection( + self, key: "ConnectionKey", traces: List["Trace"] + ) -> None: + """Wait for an available connection slot.""" + # We loop here because there is a race between + # the connection limit check and the connection + # being acquired. If the connection is acquired + # between the check and the await statement, we + # need to loop again to check if the connection + # slot is still available. + attempts = 0 + while True: + fut: asyncio.Future[None] = self._loop.create_future() + keyed_waiters = self._waiters[key] + keyed_waiters[fut] = None + if attempts: + # If we have waited before, we need to move the waiter + # to the front of the queue as otherwise we might get + # starved and hit the timeout. + keyed_waiters.move_to_end(fut, last=False) + + try: + # Traces happen in the try block to ensure that the + # the waiter is still cleaned up if an exception is raised. + if traces: + for trace in traces: + await trace.send_connection_queued_start() + await fut + if traces: + for trace in traces: + await trace.send_connection_queued_end() + finally: + # pop the waiter from the queue if its still + # there and not already removed by _release_waiter + keyed_waiters.pop(fut, None) + if not self._waiters.get(key, True): + del self._waiters[key] + + if self._available_connections(key) > 0: + break + attempts += 1 + + async def _get( + self, key: "ConnectionKey", traces: List["Trace"] + ) -> Optional[Connection]: + """Get next reusable connection for the key or None. + + The connection will be marked as acquired. + """ + if (conns := self._conns.get(key)) is None: + return None + + t1 = monotonic() + while conns: + proto, t0 = conns.popleft() + # We will we reuse the connection if its connected and + # the keepalive timeout has not been exceeded + if proto.is_connected() and t1 - t0 <= self._keepalive_timeout: + if not conns: + # The very last connection was reclaimed: drop the key + del self._conns[key] + self._acquired.add(proto) + if self._limit_per_host: + self._acquired_per_host[key].add(proto) + if traces: + for trace in traces: + try: + await trace.send_connection_reuseconn() + except BaseException: + self._release_acquired(key, proto) + raise + return Connection(self, key, proto, self._loop) + + # Connection cannot be reused, close it + transport = proto.transport + proto.close() + # only for SSL transports + if not self._cleanup_closed_disabled and key.is_ssl: + self._cleanup_closed_transports.append(transport) + + # No more connections: drop the key + del self._conns[key] + return None + + def _release_waiter(self) -> None: + """ + Iterates over all waiters until one to be released is found. + + The one to be released is not finished and + belongs to a host that has available connections. + """ + if not self._waiters: + return + + # Having the dict keys ordered this avoids to iterate + # at the same order at each call. + queues = list(self._waiters) + random.shuffle(queues) + + for key in queues: + if self._available_connections(key) < 1: + continue + + waiters = self._waiters[key] + while waiters: + waiter, _ = waiters.popitem(last=False) + if not waiter.done(): + waiter.set_result(None) + return + + def _release_acquired(self, key: "ConnectionKey", proto: ResponseHandler) -> None: + """Release acquired connection.""" + if self._closed: + # acquired connection is already released on connector closing + return + + self._acquired.discard(proto) + if self._limit_per_host and (conns := self._acquired_per_host.get(key)): + conns.discard(proto) + if not conns: + del self._acquired_per_host[key] + self._release_waiter() + + def _release( + self, + key: "ConnectionKey", + protocol: ResponseHandler, + *, + should_close: bool = False, + ) -> None: + if self._closed: + # acquired connection is already released on connector closing + return + + self._release_acquired(key, protocol) + + if self._force_close or should_close or protocol.should_close: + transport = protocol.transport + protocol.close() + + if key.is_ssl and not self._cleanup_closed_disabled: + self._cleanup_closed_transports.append(transport) + return + + self._conns[key].append((protocol, monotonic())) + + if self._cleanup_handle is None: + self._cleanup_handle = helpers.weakref_handle( + self, + "_cleanup", + self._keepalive_timeout, + self._loop, + timeout_ceil_threshold=self._timeout_ceil_threshold, + ) + + async def _create_connection( + self, req: ClientRequest, traces: List["Trace"], timeout: "ClientTimeout" + ) -> ResponseHandler: + raise NotImplementedError() + + +class _DNSCacheTable: + def __init__(self, ttl: Optional[float] = None) -> None: + self._addrs_rr: Dict[Tuple[str, int], Tuple[Iterator[ResolveResult], int]] = {} + self._timestamps: Dict[Tuple[str, int], float] = {} + self._ttl = ttl + + def __contains__(self, host: object) -> bool: + return host in self._addrs_rr + + def add(self, key: Tuple[str, int], addrs: List[ResolveResult]) -> None: + self._addrs_rr[key] = (cycle(addrs), len(addrs)) + + if self._ttl is not None: + self._timestamps[key] = monotonic() + + def remove(self, key: Tuple[str, int]) -> None: + self._addrs_rr.pop(key, None) + + if self._ttl is not None: + self._timestamps.pop(key, None) + + def clear(self) -> None: + self._addrs_rr.clear() + self._timestamps.clear() + + def next_addrs(self, key: Tuple[str, int]) -> List[ResolveResult]: + loop, length = self._addrs_rr[key] + addrs = list(islice(loop, length)) + # Consume one more element to shift internal state of `cycle` + next(loop) + return addrs + + def expired(self, key: Tuple[str, int]) -> bool: + if self._ttl is None: + return False + + return self._timestamps[key] + self._ttl < monotonic() + + +def _make_ssl_context(verified: bool) -> SSLContext: + """Create SSL context. + + This method is not async-friendly and should be called from a thread + because it will load certificates from disk and do other blocking I/O. + """ + if ssl is None: + # No ssl support + return None + if verified: + sslcontext = ssl.create_default_context() + else: + sslcontext = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT) + sslcontext.options |= ssl.OP_NO_SSLv2 + sslcontext.options |= ssl.OP_NO_SSLv3 + sslcontext.check_hostname = False + sslcontext.verify_mode = ssl.CERT_NONE + sslcontext.options |= ssl.OP_NO_COMPRESSION + sslcontext.set_default_verify_paths() + sslcontext.set_alpn_protocols(("http/1.1",)) + return sslcontext + + +# The default SSLContext objects are created at import time +# since they do blocking I/O to load certificates from disk, +# and imports should always be done before the event loop starts +# or in a thread. +_SSL_CONTEXT_VERIFIED = _make_ssl_context(True) +_SSL_CONTEXT_UNVERIFIED = _make_ssl_context(False) + + +class TCPConnector(BaseConnector): + """TCP connector. + + verify_ssl - Set to True to check ssl certifications. + fingerprint - Pass the binary sha256 + digest of the expected certificate in DER format to verify + that the certificate the server presents matches. See also + https://en.wikipedia.org/wiki/HTTP_Public_Key_Pinning + resolver - Enable DNS lookups and use this + resolver + use_dns_cache - Use memory cache for DNS lookups. + ttl_dns_cache - Max seconds having cached a DNS entry, None forever. + family - socket address family + local_addr - local tuple of (host, port) to bind socket to + + keepalive_timeout - (optional) Keep-alive timeout. + force_close - Set to True to force close and do reconnect + after each request (and between redirects). + limit - The total number of simultaneous connections. + limit_per_host - Number of simultaneous connections to one host. + enable_cleanup_closed - Enables clean-up closed ssl transports. + Disabled by default. + happy_eyeballs_delay - This is the “Connection Attempt Delay” + as defined in RFC 8305. To disable + the happy eyeballs algorithm, set to None. + interleave - “First Address Family Count” as defined in RFC 8305 + loop - Optional event loop. + socket_factory - A SocketFactoryType function that, if supplied, + will be used to create sockets given an + AddrInfoType. + ssl_shutdown_timeout - DEPRECATED. Will be removed in aiohttp 4.0. + Grace period for SSL shutdown handshake on TLS + connections. Default is 0 seconds (immediate abort). + This parameter allowed for a clean SSL shutdown by + notifying the remote peer of connection closure, + while avoiding excessive delays during connector cleanup. + Note: Only takes effect on Python 3.11+. + """ + + allowed_protocol_schema_set = HIGH_LEVEL_SCHEMA_SET | frozenset({"tcp"}) + + def __init__( + self, + *, + verify_ssl: bool = True, + fingerprint: Optional[bytes] = None, + use_dns_cache: bool = True, + ttl_dns_cache: Optional[int] = 10, + family: socket.AddressFamily = socket.AddressFamily.AF_UNSPEC, + ssl_context: Optional[SSLContext] = None, + ssl: Union[bool, Fingerprint, SSLContext] = True, + local_addr: Optional[Tuple[str, int]] = None, + resolver: Optional[AbstractResolver] = None, + keepalive_timeout: Union[None, float, object] = sentinel, + force_close: bool = False, + limit: int = 100, + limit_per_host: int = 0, + enable_cleanup_closed: bool = False, + loop: Optional[asyncio.AbstractEventLoop] = None, + timeout_ceil_threshold: float = 5, + happy_eyeballs_delay: Optional[float] = 0.25, + interleave: Optional[int] = None, + socket_factory: Optional[SocketFactoryType] = None, + ssl_shutdown_timeout: Union[_SENTINEL, None, float] = sentinel, + ): + super().__init__( + keepalive_timeout=keepalive_timeout, + force_close=force_close, + limit=limit, + limit_per_host=limit_per_host, + enable_cleanup_closed=enable_cleanup_closed, + loop=loop, + timeout_ceil_threshold=timeout_ceil_threshold, + ) + + self._ssl = _merge_ssl_params(ssl, verify_ssl, ssl_context, fingerprint) + + self._resolver: AbstractResolver + if resolver is None: + self._resolver = DefaultResolver(loop=self._loop) + self._resolver_owner = True + else: + self._resolver = resolver + self._resolver_owner = False + + self._use_dns_cache = use_dns_cache + self._cached_hosts = _DNSCacheTable(ttl=ttl_dns_cache) + self._throttle_dns_futures: Dict[ + Tuple[str, int], Set["asyncio.Future[None]"] + ] = {} + self._family = family + self._local_addr_infos = aiohappyeyeballs.addr_to_addr_infos(local_addr) + self._happy_eyeballs_delay = happy_eyeballs_delay + self._interleave = interleave + self._resolve_host_tasks: Set["asyncio.Task[List[ResolveResult]]"] = set() + self._socket_factory = socket_factory + self._ssl_shutdown_timeout: Optional[float] + # Handle ssl_shutdown_timeout with warning for Python < 3.11 + if ssl_shutdown_timeout is sentinel: + self._ssl_shutdown_timeout = 0 + else: + # Deprecation warning for ssl_shutdown_timeout parameter + warnings.warn( + "The ssl_shutdown_timeout parameter is deprecated and will be removed in aiohttp 4.0", + DeprecationWarning, + stacklevel=2, + ) + if ( + sys.version_info < (3, 11) + and ssl_shutdown_timeout is not None + and ssl_shutdown_timeout != 0 + ): + warnings.warn( + f"ssl_shutdown_timeout={ssl_shutdown_timeout} is ignored on Python < 3.11; " + "only ssl_shutdown_timeout=0 is supported. The timeout will be ignored.", + RuntimeWarning, + stacklevel=2, + ) + self._ssl_shutdown_timeout = ssl_shutdown_timeout + + def _close(self, *, abort_ssl: bool = False) -> List[Awaitable[object]]: + """Close all ongoing DNS calls.""" + for fut in chain.from_iterable(self._throttle_dns_futures.values()): + fut.cancel() + + waiters = super()._close(abort_ssl=abort_ssl) + + for t in self._resolve_host_tasks: + t.cancel() + waiters.append(t) + + return waiters + + async def close(self, *, abort_ssl: bool = False) -> None: + """ + Close all opened transports. + + :param abort_ssl: If True, SSL connections will be aborted immediately + without performing the shutdown handshake. If False (default), + the behavior is determined by ssl_shutdown_timeout: + - If ssl_shutdown_timeout=0: connections are aborted + - If ssl_shutdown_timeout>0: graceful shutdown is performed + """ + if self._resolver_owner: + await self._resolver.close() + # Use abort_ssl param if explicitly set, otherwise use ssl_shutdown_timeout default + await super().close(abort_ssl=abort_ssl or self._ssl_shutdown_timeout == 0) + + @property + def family(self) -> int: + """Socket family like AF_INET.""" + return self._family + + @property + def use_dns_cache(self) -> bool: + """True if local DNS caching is enabled.""" + return self._use_dns_cache + + def clear_dns_cache( + self, host: Optional[str] = None, port: Optional[int] = None + ) -> None: + """Remove specified host/port or clear all dns local cache.""" + if host is not None and port is not None: + self._cached_hosts.remove((host, port)) + elif host is not None or port is not None: + raise ValueError("either both host and port or none of them are allowed") + else: + self._cached_hosts.clear() + + async def _resolve_host( + self, host: str, port: int, traces: Optional[Sequence["Trace"]] = None + ) -> List[ResolveResult]: + """Resolve host and return list of addresses.""" + if is_ip_address(host): + return [ + { + "hostname": host, + "host": host, + "port": port, + "family": self._family, + "proto": 0, + "flags": 0, + } + ] + + if not self._use_dns_cache: + + if traces: + for trace in traces: + await trace.send_dns_resolvehost_start(host) + + res = await self._resolver.resolve(host, port, family=self._family) + + if traces: + for trace in traces: + await trace.send_dns_resolvehost_end(host) + + return res + + key = (host, port) + if key in self._cached_hosts and not self._cached_hosts.expired(key): + # get result early, before any await (#4014) + result = self._cached_hosts.next_addrs(key) + + if traces: + for trace in traces: + await trace.send_dns_cache_hit(host) + return result + + futures: Set["asyncio.Future[None]"] + # + # If multiple connectors are resolving the same host, we wait + # for the first one to resolve and then use the result for all of them. + # We use a throttle to ensure that we only resolve the host once + # and then use the result for all the waiters. + # + if key in self._throttle_dns_futures: + # get futures early, before any await (#4014) + futures = self._throttle_dns_futures[key] + future: asyncio.Future[None] = self._loop.create_future() + futures.add(future) + if traces: + for trace in traces: + await trace.send_dns_cache_hit(host) + try: + await future + finally: + futures.discard(future) + return self._cached_hosts.next_addrs(key) + + # update dict early, before any await (#4014) + self._throttle_dns_futures[key] = futures = set() + # In this case we need to create a task to ensure that we can shield + # the task from cancellation as cancelling this lookup should not cancel + # the underlying lookup or else the cancel event will get broadcast to + # all the waiters across all connections. + # + coro = self._resolve_host_with_throttle(key, host, port, futures, traces) + loop = asyncio.get_running_loop() + if sys.version_info >= (3, 12): + # Optimization for Python 3.12, try to send immediately + resolved_host_task = asyncio.Task(coro, loop=loop, eager_start=True) + else: + resolved_host_task = loop.create_task(coro) + + if not resolved_host_task.done(): + self._resolve_host_tasks.add(resolved_host_task) + resolved_host_task.add_done_callback(self._resolve_host_tasks.discard) + + try: + return await asyncio.shield(resolved_host_task) + except asyncio.CancelledError: + + def drop_exception(fut: "asyncio.Future[List[ResolveResult]]") -> None: + with suppress(Exception, asyncio.CancelledError): + fut.result() + + resolved_host_task.add_done_callback(drop_exception) + raise + + async def _resolve_host_with_throttle( + self, + key: Tuple[str, int], + host: str, + port: int, + futures: Set["asyncio.Future[None]"], + traces: Optional[Sequence["Trace"]], + ) -> List[ResolveResult]: + """Resolve host and set result for all waiters. + + This method must be run in a task and shielded from cancellation + to avoid cancelling the underlying lookup. + """ + try: + if traces: + for trace in traces: + await trace.send_dns_cache_miss(host) + + for trace in traces: + await trace.send_dns_resolvehost_start(host) + + addrs = await self._resolver.resolve(host, port, family=self._family) + if traces: + for trace in traces: + await trace.send_dns_resolvehost_end(host) + + self._cached_hosts.add(key, addrs) + for fut in futures: + set_result(fut, None) + except BaseException as e: + # any DNS exception is set for the waiters to raise the same exception. + # This coro is always run in task that is shielded from cancellation so + # we should never be propagating cancellation here. + for fut in futures: + set_exception(fut, e) + raise + finally: + self._throttle_dns_futures.pop(key) + + return self._cached_hosts.next_addrs(key) + + async def _create_connection( + self, req: ClientRequest, traces: List["Trace"], timeout: "ClientTimeout" + ) -> ResponseHandler: + """Create connection. + + Has same keyword arguments as BaseEventLoop.create_connection. + """ + if req.proxy: + _, proto = await self._create_proxy_connection(req, traces, timeout) + else: + _, proto = await self._create_direct_connection(req, traces, timeout) + + return proto + + def _get_ssl_context(self, req: ClientRequest) -> Optional[SSLContext]: + """Logic to get the correct SSL context + + 0. if req.ssl is false, return None + + 1. if ssl_context is specified in req, use it + 2. if _ssl_context is specified in self, use it + 3. otherwise: + 1. if verify_ssl is not specified in req, use self.ssl_context + (will generate a default context according to self.verify_ssl) + 2. if verify_ssl is True in req, generate a default SSL context + 3. if verify_ssl is False in req, generate a SSL context that + won't verify + """ + if not req.is_ssl(): + return None + + if ssl is None: # pragma: no cover + raise RuntimeError("SSL is not supported.") + sslcontext = req.ssl + if isinstance(sslcontext, ssl.SSLContext): + return sslcontext + if sslcontext is not True: + # not verified or fingerprinted + return _SSL_CONTEXT_UNVERIFIED + sslcontext = self._ssl + if isinstance(sslcontext, ssl.SSLContext): + return sslcontext + if sslcontext is not True: + # not verified or fingerprinted + return _SSL_CONTEXT_UNVERIFIED + return _SSL_CONTEXT_VERIFIED + + def _get_fingerprint(self, req: ClientRequest) -> Optional["Fingerprint"]: + ret = req.ssl + if isinstance(ret, Fingerprint): + return ret + ret = self._ssl + if isinstance(ret, Fingerprint): + return ret + return None + + async def _wrap_create_connection( + self, + *args: Any, + addr_infos: List[AddrInfoType], + req: ClientRequest, + timeout: "ClientTimeout", + client_error: Type[Exception] = ClientConnectorError, + **kwargs: Any, + ) -> Tuple[asyncio.Transport, ResponseHandler]: + try: + async with ceil_timeout( + timeout.sock_connect, ceil_threshold=timeout.ceil_threshold + ): + sock = await aiohappyeyeballs.start_connection( + addr_infos=addr_infos, + local_addr_infos=self._local_addr_infos, + happy_eyeballs_delay=self._happy_eyeballs_delay, + interleave=self._interleave, + loop=self._loop, + socket_factory=self._socket_factory, + ) + # Add ssl_shutdown_timeout for Python 3.11+ when SSL is used + if ( + kwargs.get("ssl") + and self._ssl_shutdown_timeout + and sys.version_info >= (3, 11) + ): + kwargs["ssl_shutdown_timeout"] = self._ssl_shutdown_timeout + return await self._loop.create_connection(*args, **kwargs, sock=sock) + except cert_errors as exc: + raise ClientConnectorCertificateError(req.connection_key, exc) from exc + except ssl_errors as exc: + raise ClientConnectorSSLError(req.connection_key, exc) from exc + except OSError as exc: + if exc.errno is None and isinstance(exc, asyncio.TimeoutError): + raise + raise client_error(req.connection_key, exc) from exc + + async def _wrap_existing_connection( + self, + *args: Any, + req: ClientRequest, + timeout: "ClientTimeout", + client_error: Type[Exception] = ClientConnectorError, + **kwargs: Any, + ) -> Tuple[asyncio.Transport, ResponseHandler]: + try: + async with ceil_timeout( + timeout.sock_connect, ceil_threshold=timeout.ceil_threshold + ): + return await self._loop.create_connection(*args, **kwargs) + except cert_errors as exc: + raise ClientConnectorCertificateError(req.connection_key, exc) from exc + except ssl_errors as exc: + raise ClientConnectorSSLError(req.connection_key, exc) from exc + except OSError as exc: + if exc.errno is None and isinstance(exc, asyncio.TimeoutError): + raise + raise client_error(req.connection_key, exc) from exc + + def _fail_on_no_start_tls(self, req: "ClientRequest") -> None: + """Raise a :py:exc:`RuntimeError` on missing ``start_tls()``. + + It is necessary for TLS-in-TLS so that it is possible to + send HTTPS queries through HTTPS proxies. + + This doesn't affect regular HTTP requests, though. + """ + if not req.is_ssl(): + return + + proxy_url = req.proxy + assert proxy_url is not None + if proxy_url.scheme != "https": + return + + self._check_loop_for_start_tls() + + def _check_loop_for_start_tls(self) -> None: + try: + self._loop.start_tls + except AttributeError as attr_exc: + raise RuntimeError( + "An HTTPS request is being sent through an HTTPS proxy. " + "This needs support for TLS in TLS but it is not implemented " + "in your runtime for the stdlib asyncio.\n\n" + "Please upgrade to Python 3.11 or higher. For more details, " + "please see:\n" + "* https://bugs.python.org/issue37179\n" + "* https://github.com/python/cpython/pull/28073\n" + "* https://docs.aiohttp.org/en/stable/" + "client_advanced.html#proxy-support\n" + "* https://github.com/aio-libs/aiohttp/discussions/6044\n", + ) from attr_exc + + def _loop_supports_start_tls(self) -> bool: + try: + self._check_loop_for_start_tls() + except RuntimeError: + return False + else: + return True + + def _warn_about_tls_in_tls( + self, + underlying_transport: asyncio.Transport, + req: ClientRequest, + ) -> None: + """Issue a warning if the requested URL has HTTPS scheme.""" + if req.request_info.url.scheme != "https": + return + + # Check if uvloop is being used, which supports TLS in TLS, + # otherwise assume that asyncio's native transport is being used. + if type(underlying_transport).__module__.startswith("uvloop"): + return + + # Support in asyncio was added in Python 3.11 (bpo-44011) + asyncio_supports_tls_in_tls = sys.version_info >= (3, 11) or getattr( + underlying_transport, + "_start_tls_compatible", + False, + ) + + if asyncio_supports_tls_in_tls: + return + + warnings.warn( + "An HTTPS request is being sent through an HTTPS proxy. " + "This support for TLS in TLS is known to be disabled " + "in the stdlib asyncio (Python <3.11). This is why you'll probably see " + "an error in the log below.\n\n" + "It is possible to enable it via monkeypatching. " + "For more details, see:\n" + "* https://bugs.python.org/issue37179\n" + "* https://github.com/python/cpython/pull/28073\n\n" + "You can temporarily patch this as follows:\n" + "* https://docs.aiohttp.org/en/stable/client_advanced.html#proxy-support\n" + "* https://github.com/aio-libs/aiohttp/discussions/6044\n", + RuntimeWarning, + source=self, + # Why `4`? At least 3 of the calls in the stack originate + # from the methods in this class. + stacklevel=3, + ) + + async def _start_tls_connection( + self, + underlying_transport: asyncio.Transport, + req: ClientRequest, + timeout: "ClientTimeout", + client_error: Type[Exception] = ClientConnectorError, + ) -> Tuple[asyncio.BaseTransport, ResponseHandler]: + """Wrap the raw TCP transport with TLS.""" + tls_proto = self._factory() # Create a brand new proto for TLS + sslcontext = self._get_ssl_context(req) + if TYPE_CHECKING: + # _start_tls_connection is unreachable in the current code path + # if sslcontext is None. + assert sslcontext is not None + + try: + async with ceil_timeout( + timeout.sock_connect, ceil_threshold=timeout.ceil_threshold + ): + try: + # ssl_shutdown_timeout is only available in Python 3.11+ + if sys.version_info >= (3, 11) and self._ssl_shutdown_timeout: + tls_transport = await self._loop.start_tls( + underlying_transport, + tls_proto, + sslcontext, + server_hostname=req.server_hostname or req.host, + ssl_handshake_timeout=timeout.total, + ssl_shutdown_timeout=self._ssl_shutdown_timeout, + ) + else: + tls_transport = await self._loop.start_tls( + underlying_transport, + tls_proto, + sslcontext, + server_hostname=req.server_hostname or req.host, + ssl_handshake_timeout=timeout.total, + ) + except BaseException: + # We need to close the underlying transport since + # `start_tls()` probably failed before it had a + # chance to do this: + if self._ssl_shutdown_timeout == 0: + underlying_transport.abort() + else: + underlying_transport.close() + raise + if isinstance(tls_transport, asyncio.Transport): + fingerprint = self._get_fingerprint(req) + if fingerprint: + try: + fingerprint.check(tls_transport) + except ServerFingerprintMismatch: + tls_transport.close() + if not self._cleanup_closed_disabled: + self._cleanup_closed_transports.append(tls_transport) + raise + except cert_errors as exc: + raise ClientConnectorCertificateError(req.connection_key, exc) from exc + except ssl_errors as exc: + raise ClientConnectorSSLError(req.connection_key, exc) from exc + except OSError as exc: + if exc.errno is None and isinstance(exc, asyncio.TimeoutError): + raise + raise client_error(req.connection_key, exc) from exc + except TypeError as type_err: + # Example cause looks like this: + # TypeError: transport is not supported by start_tls() + + raise ClientConnectionError( + "Cannot initialize a TLS-in-TLS connection to host " + f"{req.host!s}:{req.port:d} through an underlying connection " + f"to an HTTPS proxy {req.proxy!s} ssl:{req.ssl or 'default'} " + f"[{type_err!s}]" + ) from type_err + else: + if tls_transport is None: + msg = "Failed to start TLS (possibly caused by closing transport)" + raise client_error(req.connection_key, OSError(msg)) + tls_proto.connection_made( + tls_transport + ) # Kick the state machine of the new TLS protocol + + return tls_transport, tls_proto + + def _convert_hosts_to_addr_infos( + self, hosts: List[ResolveResult] + ) -> List[AddrInfoType]: + """Converts the list of hosts to a list of addr_infos. + + The list of hosts is the result of a DNS lookup. The list of + addr_infos is the result of a call to `socket.getaddrinfo()`. + """ + addr_infos: List[AddrInfoType] = [] + for hinfo in hosts: + host = hinfo["host"] + is_ipv6 = ":" in host + family = socket.AF_INET6 if is_ipv6 else socket.AF_INET + if self._family and self._family != family: + continue + addr = (host, hinfo["port"], 0, 0) if is_ipv6 else (host, hinfo["port"]) + addr_infos.append( + (family, socket.SOCK_STREAM, socket.IPPROTO_TCP, "", addr) + ) + return addr_infos + + async def _create_direct_connection( + self, + req: ClientRequest, + traces: List["Trace"], + timeout: "ClientTimeout", + *, + client_error: Type[Exception] = ClientConnectorError, + ) -> Tuple[asyncio.Transport, ResponseHandler]: + sslcontext = self._get_ssl_context(req) + fingerprint = self._get_fingerprint(req) + + host = req.url.raw_host + assert host is not None + # Replace multiple trailing dots with a single one. + # A trailing dot is only present for fully-qualified domain names. + # See https://github.com/aio-libs/aiohttp/pull/7364. + if host.endswith(".."): + host = host.rstrip(".") + "." + port = req.port + assert port is not None + try: + # Cancelling this lookup should not cancel the underlying lookup + # or else the cancel event will get broadcast to all the waiters + # across all connections. + hosts = await self._resolve_host(host, port, traces=traces) + except OSError as exc: + if exc.errno is None and isinstance(exc, asyncio.TimeoutError): + raise + # in case of proxy it is not ClientProxyConnectionError + # it is problem of resolving proxy ip itself + raise ClientConnectorDNSError(req.connection_key, exc) from exc + + last_exc: Optional[Exception] = None + addr_infos = self._convert_hosts_to_addr_infos(hosts) + while addr_infos: + # Strip trailing dots, certificates contain FQDN without dots. + # See https://github.com/aio-libs/aiohttp/issues/3636 + server_hostname = ( + (req.server_hostname or host).rstrip(".") if sslcontext else None + ) + + try: + transp, proto = await self._wrap_create_connection( + self._factory, + timeout=timeout, + ssl=sslcontext, + addr_infos=addr_infos, + server_hostname=server_hostname, + req=req, + client_error=client_error, + ) + except (ClientConnectorError, asyncio.TimeoutError) as exc: + last_exc = exc + aiohappyeyeballs.pop_addr_infos_interleave(addr_infos, self._interleave) + continue + + if req.is_ssl() and fingerprint: + try: + fingerprint.check(transp) + except ServerFingerprintMismatch as exc: + transp.close() + if not self._cleanup_closed_disabled: + self._cleanup_closed_transports.append(transp) + last_exc = exc + # Remove the bad peer from the list of addr_infos + sock: socket.socket = transp.get_extra_info("socket") + bad_peer = sock.getpeername() + aiohappyeyeballs.remove_addr_infos(addr_infos, bad_peer) + continue + + return transp, proto + else: + assert last_exc is not None + raise last_exc + + async def _create_proxy_connection( + self, req: ClientRequest, traces: List["Trace"], timeout: "ClientTimeout" + ) -> Tuple[asyncio.BaseTransport, ResponseHandler]: + self._fail_on_no_start_tls(req) + runtime_has_start_tls = self._loop_supports_start_tls() + proxy_req = self._update_proxy_auth_header_and_build_proxy_req(req) + + # create connection to proxy server + transport, proto = await self._create_direct_connection( + proxy_req, [], timeout, client_error=ClientProxyConnectionError + ) + + if req.is_ssl(): + if runtime_has_start_tls: + self._warn_about_tls_in_tls(transport, req) + + # For HTTPS requests over HTTP proxy + # we must notify proxy to tunnel connection + # so we send CONNECT command: + # CONNECT www.python.org:443 HTTP/1.1 + # Host: www.python.org + # + # next we must do TLS handshake and so on + # to do this we must wrap raw socket into secure one + # asyncio handles this perfectly + proxy_req.method = hdrs.METH_CONNECT + proxy_req.url = req.url + key = req.connection_key._replace( + proxy=None, proxy_auth=None, proxy_headers_hash=None + ) + conn = _ConnectTunnelConnection(self, key, proto, self._loop) + proxy_resp = await proxy_req.send(conn) + try: + protocol = conn._protocol + assert protocol is not None + + # read_until_eof=True will ensure the connection isn't closed + # once the response is received and processed allowing + # START_TLS to work on the connection below. + protocol.set_response_params( + read_until_eof=runtime_has_start_tls, + timeout_ceil_threshold=self._timeout_ceil_threshold, + ) + resp = await proxy_resp.start(conn) + except BaseException: + proxy_resp.close() + conn.close() + raise + else: + conn._protocol = None + try: + if resp.status != 200: + message = resp.reason + if message is None: + message = HTTPStatus(resp.status).phrase + raise ClientHttpProxyError( + proxy_resp.request_info, + resp.history, + status=resp.status, + message=message, + headers=resp.headers, + ) + if not runtime_has_start_tls: + rawsock = transport.get_extra_info("socket", default=None) + if rawsock is None: + raise RuntimeError( + "Transport does not expose socket instance" + ) + # Duplicate the socket, so now we can close proxy transport + rawsock = rawsock.dup() + except BaseException: + # It shouldn't be closed in `finally` because it's fed to + # `loop.start_tls()` and the docs say not to touch it after + # passing there. + transport.close() + raise + finally: + if not runtime_has_start_tls: + transport.close() + + if not runtime_has_start_tls: + # HTTP proxy with support for upgrade to HTTPS + sslcontext = self._get_ssl_context(req) + return await self._wrap_existing_connection( + self._factory, + timeout=timeout, + ssl=sslcontext, + sock=rawsock, + server_hostname=req.host, + req=req, + ) + + return await self._start_tls_connection( + # Access the old transport for the last time before it's + # closed and forgotten forever: + transport, + req=req, + timeout=timeout, + ) + finally: + proxy_resp.close() + + return transport, proto + + +class UnixConnector(BaseConnector): + """Unix socket connector. + + path - Unix socket path. + keepalive_timeout - (optional) Keep-alive timeout. + force_close - Set to True to force close and do reconnect + after each request (and between redirects). + limit - The total number of simultaneous connections. + limit_per_host - Number of simultaneous connections to one host. + loop - Optional event loop. + """ + + allowed_protocol_schema_set = HIGH_LEVEL_SCHEMA_SET | frozenset({"unix"}) + + def __init__( + self, + path: str, + force_close: bool = False, + keepalive_timeout: Union[object, float, None] = sentinel, + limit: int = 100, + limit_per_host: int = 0, + loop: Optional[asyncio.AbstractEventLoop] = None, + ) -> None: + super().__init__( + force_close=force_close, + keepalive_timeout=keepalive_timeout, + limit=limit, + limit_per_host=limit_per_host, + loop=loop, + ) + self._path = path + + @property + def path(self) -> str: + """Path to unix socket.""" + return self._path + + async def _create_connection( + self, req: ClientRequest, traces: List["Trace"], timeout: "ClientTimeout" + ) -> ResponseHandler: + try: + async with ceil_timeout( + timeout.sock_connect, ceil_threshold=timeout.ceil_threshold + ): + _, proto = await self._loop.create_unix_connection( + self._factory, self._path + ) + except OSError as exc: + if exc.errno is None and isinstance(exc, asyncio.TimeoutError): + raise + raise UnixClientConnectorError(self.path, req.connection_key, exc) from exc + + return proto + + +class NamedPipeConnector(BaseConnector): + """Named pipe connector. + + Only supported by the proactor event loop. + See also: https://docs.python.org/3/library/asyncio-eventloop.html + + path - Windows named pipe path. + keepalive_timeout - (optional) Keep-alive timeout. + force_close - Set to True to force close and do reconnect + after each request (and between redirects). + limit - The total number of simultaneous connections. + limit_per_host - Number of simultaneous connections to one host. + loop - Optional event loop. + """ + + allowed_protocol_schema_set = HIGH_LEVEL_SCHEMA_SET | frozenset({"npipe"}) + + def __init__( + self, + path: str, + force_close: bool = False, + keepalive_timeout: Union[object, float, None] = sentinel, + limit: int = 100, + limit_per_host: int = 0, + loop: Optional[asyncio.AbstractEventLoop] = None, + ) -> None: + super().__init__( + force_close=force_close, + keepalive_timeout=keepalive_timeout, + limit=limit, + limit_per_host=limit_per_host, + loop=loop, + ) + if not isinstance( + self._loop, + asyncio.ProactorEventLoop, # type: ignore[attr-defined] + ): + raise RuntimeError( + "Named Pipes only available in proactor loop under windows" + ) + self._path = path + + @property + def path(self) -> str: + """Path to the named pipe.""" + return self._path + + async def _create_connection( + self, req: ClientRequest, traces: List["Trace"], timeout: "ClientTimeout" + ) -> ResponseHandler: + try: + async with ceil_timeout( + timeout.sock_connect, ceil_threshold=timeout.ceil_threshold + ): + _, proto = await self._loop.create_pipe_connection( # type: ignore[attr-defined] + self._factory, self._path + ) + # the drain is required so that the connection_made is called + # and transport is set otherwise it is not set before the + # `assert conn.transport is not None` + # in client.py's _request method + await asyncio.sleep(0) + # other option is to manually set transport like + # `proto.transport = trans` + except OSError as exc: + if exc.errno is None and isinstance(exc, asyncio.TimeoutError): + raise + raise ClientConnectorError(req.connection_key, exc) from exc + + return cast(ResponseHandler, proto) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/cookiejar.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/cookiejar.py new file mode 100644 index 0000000000000000000000000000000000000000..193648d4309fc9252332c0c1241ab6aafbd2fe05 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/cookiejar.py @@ -0,0 +1,522 @@ +import asyncio +import calendar +import contextlib +import datetime +import heapq +import itertools +import os # noqa +import pathlib +import pickle +import re +import time +import warnings +from collections import defaultdict +from collections.abc import Mapping +from http.cookies import BaseCookie, Morsel, SimpleCookie +from typing import ( + DefaultDict, + Dict, + Iterable, + Iterator, + List, + Optional, + Set, + Tuple, + Union, +) + +from yarl import URL + +from ._cookie_helpers import preserve_morsel_with_coded_value +from .abc import AbstractCookieJar, ClearCookiePredicate +from .helpers import is_ip_address +from .typedefs import LooseCookies, PathLike, StrOrURL + +__all__ = ("CookieJar", "DummyCookieJar") + + +CookieItem = Union[str, "Morsel[str]"] + +# We cache these string methods here as their use is in performance critical code. +_FORMAT_PATH = "{}/{}".format +_FORMAT_DOMAIN_REVERSED = "{1}.{0}".format + +# The minimum number of scheduled cookie expirations before we start cleaning up +# the expiration heap. This is a performance optimization to avoid cleaning up the +# heap too often when there are only a few scheduled expirations. +_MIN_SCHEDULED_COOKIE_EXPIRATION = 100 +_SIMPLE_COOKIE = SimpleCookie() + + +class CookieJar(AbstractCookieJar): + """Implements cookie storage adhering to RFC 6265.""" + + DATE_TOKENS_RE = re.compile( + r"[\x09\x20-\x2F\x3B-\x40\x5B-\x60\x7B-\x7E]*" + r"(?P[\x00-\x08\x0A-\x1F\d:a-zA-Z\x7F-\xFF]+)" + ) + + DATE_HMS_TIME_RE = re.compile(r"(\d{1,2}):(\d{1,2}):(\d{1,2})") + + DATE_DAY_OF_MONTH_RE = re.compile(r"(\d{1,2})") + + DATE_MONTH_RE = re.compile( + "(jan)|(feb)|(mar)|(apr)|(may)|(jun)|(jul)|(aug)|(sep)|(oct)|(nov)|(dec)", + re.I, + ) + + DATE_YEAR_RE = re.compile(r"(\d{2,4})") + + # calendar.timegm() fails for timestamps after datetime.datetime.max + # Minus one as a loss of precision occurs when timestamp() is called. + MAX_TIME = ( + int(datetime.datetime.max.replace(tzinfo=datetime.timezone.utc).timestamp()) - 1 + ) + try: + calendar.timegm(time.gmtime(MAX_TIME)) + except (OSError, ValueError): + # Hit the maximum representable time on Windows + # https://learn.microsoft.com/en-us/cpp/c-runtime-library/reference/localtime-localtime32-localtime64 + # Throws ValueError on PyPy 3.9, OSError elsewhere + MAX_TIME = calendar.timegm((3000, 12, 31, 23, 59, 59, -1, -1, -1)) + except OverflowError: + # #4515: datetime.max may not be representable on 32-bit platforms + MAX_TIME = 2**31 - 1 + # Avoid minuses in the future, 3x faster + SUB_MAX_TIME = MAX_TIME - 1 + + def __init__( + self, + *, + unsafe: bool = False, + quote_cookie: bool = True, + treat_as_secure_origin: Union[StrOrURL, List[StrOrURL], None] = None, + loop: Optional[asyncio.AbstractEventLoop] = None, + ) -> None: + super().__init__(loop=loop) + self._cookies: DefaultDict[Tuple[str, str], SimpleCookie] = defaultdict( + SimpleCookie + ) + self._morsel_cache: DefaultDict[Tuple[str, str], Dict[str, Morsel[str]]] = ( + defaultdict(dict) + ) + self._host_only_cookies: Set[Tuple[str, str]] = set() + self._unsafe = unsafe + self._quote_cookie = quote_cookie + if treat_as_secure_origin is None: + treat_as_secure_origin = [] + elif isinstance(treat_as_secure_origin, URL): + treat_as_secure_origin = [treat_as_secure_origin.origin()] + elif isinstance(treat_as_secure_origin, str): + treat_as_secure_origin = [URL(treat_as_secure_origin).origin()] + else: + treat_as_secure_origin = [ + URL(url).origin() if isinstance(url, str) else url.origin() + for url in treat_as_secure_origin + ] + self._treat_as_secure_origin = treat_as_secure_origin + self._expire_heap: List[Tuple[float, Tuple[str, str, str]]] = [] + self._expirations: Dict[Tuple[str, str, str], float] = {} + + @property + def quote_cookie(self) -> bool: + return self._quote_cookie + + def save(self, file_path: PathLike) -> None: + file_path = pathlib.Path(file_path) + with file_path.open(mode="wb") as f: + pickle.dump(self._cookies, f, pickle.HIGHEST_PROTOCOL) + + def load(self, file_path: PathLike) -> None: + file_path = pathlib.Path(file_path) + with file_path.open(mode="rb") as f: + self._cookies = pickle.load(f) + + def clear(self, predicate: Optional[ClearCookiePredicate] = None) -> None: + if predicate is None: + self._expire_heap.clear() + self._cookies.clear() + self._morsel_cache.clear() + self._host_only_cookies.clear() + self._expirations.clear() + return + + now = time.time() + to_del = [ + key + for (domain, path), cookie in self._cookies.items() + for name, morsel in cookie.items() + if ( + (key := (domain, path, name)) in self._expirations + and self._expirations[key] <= now + ) + or predicate(morsel) + ] + if to_del: + self._delete_cookies(to_del) + + def clear_domain(self, domain: str) -> None: + self.clear(lambda x: self._is_domain_match(domain, x["domain"])) + + def __iter__(self) -> "Iterator[Morsel[str]]": + self._do_expiration() + for val in self._cookies.values(): + yield from val.values() + + def __len__(self) -> int: + """Return number of cookies. + + This function does not iterate self to avoid unnecessary expiration + checks. + """ + return sum(len(cookie.values()) for cookie in self._cookies.values()) + + def _do_expiration(self) -> None: + """Remove expired cookies.""" + if not (expire_heap_len := len(self._expire_heap)): + return + + # If the expiration heap grows larger than the number expirations + # times two, we clean it up to avoid keeping expired entries in + # the heap and consuming memory. We guard this with a minimum + # threshold to avoid cleaning up the heap too often when there are + # only a few scheduled expirations. + if ( + expire_heap_len > _MIN_SCHEDULED_COOKIE_EXPIRATION + and expire_heap_len > len(self._expirations) * 2 + ): + # Remove any expired entries from the expiration heap + # that do not match the expiration time in the expirations + # as it means the cookie has been re-added to the heap + # with a different expiration time. + self._expire_heap = [ + entry + for entry in self._expire_heap + if self._expirations.get(entry[1]) == entry[0] + ] + heapq.heapify(self._expire_heap) + + now = time.time() + to_del: List[Tuple[str, str, str]] = [] + # Find any expired cookies and add them to the to-delete list + while self._expire_heap: + when, cookie_key = self._expire_heap[0] + if when > now: + break + heapq.heappop(self._expire_heap) + # Check if the cookie hasn't been re-added to the heap + # with a different expiration time as it will be removed + # later when it reaches the top of the heap and its + # expiration time is met. + if self._expirations.get(cookie_key) == when: + to_del.append(cookie_key) + + if to_del: + self._delete_cookies(to_del) + + def _delete_cookies(self, to_del: List[Tuple[str, str, str]]) -> None: + for domain, path, name in to_del: + self._host_only_cookies.discard((domain, name)) + self._cookies[(domain, path)].pop(name, None) + self._morsel_cache[(domain, path)].pop(name, None) + self._expirations.pop((domain, path, name), None) + + def _expire_cookie(self, when: float, domain: str, path: str, name: str) -> None: + cookie_key = (domain, path, name) + if self._expirations.get(cookie_key) == when: + # Avoid adding duplicates to the heap + return + heapq.heappush(self._expire_heap, (when, cookie_key)) + self._expirations[cookie_key] = when + + def update_cookies(self, cookies: LooseCookies, response_url: URL = URL()) -> None: + """Update cookies.""" + hostname = response_url.raw_host + + if not self._unsafe and is_ip_address(hostname): + # Don't accept cookies from IPs + return + + if isinstance(cookies, Mapping): + cookies = cookies.items() + + for name, cookie in cookies: + if not isinstance(cookie, Morsel): + tmp = SimpleCookie() + tmp[name] = cookie # type: ignore[assignment] + cookie = tmp[name] + + domain = cookie["domain"] + + # ignore domains with trailing dots + if domain and domain[-1] == ".": + domain = "" + del cookie["domain"] + + if not domain and hostname is not None: + # Set the cookie's domain to the response hostname + # and set its host-only-flag + self._host_only_cookies.add((hostname, name)) + domain = cookie["domain"] = hostname + + if domain and domain[0] == ".": + # Remove leading dot + domain = domain[1:] + cookie["domain"] = domain + + if hostname and not self._is_domain_match(domain, hostname): + # Setting cookies for different domains is not allowed + continue + + path = cookie["path"] + if not path or path[0] != "/": + # Set the cookie's path to the response path + path = response_url.path + if not path.startswith("/"): + path = "/" + else: + # Cut everything from the last slash to the end + path = "/" + path[1 : path.rfind("/")] + cookie["path"] = path + path = path.rstrip("/") + + if max_age := cookie["max-age"]: + try: + delta_seconds = int(max_age) + max_age_expiration = min(time.time() + delta_seconds, self.MAX_TIME) + self._expire_cookie(max_age_expiration, domain, path, name) + except ValueError: + cookie["max-age"] = "" + + elif expires := cookie["expires"]: + if expire_time := self._parse_date(expires): + self._expire_cookie(expire_time, domain, path, name) + else: + cookie["expires"] = "" + + key = (domain, path) + if self._cookies[key].get(name) != cookie: + # Don't blow away the cache if the same + # cookie gets set again + self._cookies[key][name] = cookie + self._morsel_cache[key].pop(name, None) + + self._do_expiration() + + def filter_cookies(self, request_url: URL = URL()) -> "BaseCookie[str]": + """Returns this jar's cookies filtered by their attributes.""" + # We always use BaseCookie now since all + # cookies set on on filtered are fully constructed + # Morsels, not just names and values. + filtered: BaseCookie[str] = BaseCookie() + if not self._cookies: + # Skip do_expiration() if there are no cookies. + return filtered + self._do_expiration() + if not self._cookies: + # Skip rest of function if no non-expired cookies. + return filtered + if type(request_url) is not URL: + warnings.warn( + "filter_cookies expects yarl.URL instances only," + f"and will stop working in 4.x, got {type(request_url)}", + DeprecationWarning, + stacklevel=2, + ) + request_url = URL(request_url) + hostname = request_url.raw_host or "" + + is_not_secure = request_url.scheme not in ("https", "wss") + if is_not_secure and self._treat_as_secure_origin: + request_origin = URL() + with contextlib.suppress(ValueError): + request_origin = request_url.origin() + is_not_secure = request_origin not in self._treat_as_secure_origin + + # Send shared cookie + key = ("", "") + for c in self._cookies[key].values(): + # Check cache first + if c.key in self._morsel_cache[key]: + filtered[c.key] = self._morsel_cache[key][c.key] + continue + + # Build and cache the morsel + mrsl_val = self._build_morsel(c) + self._morsel_cache[key][c.key] = mrsl_val + filtered[c.key] = mrsl_val + + if is_ip_address(hostname): + if not self._unsafe: + return filtered + domains: Iterable[str] = (hostname,) + else: + # Get all the subdomains that might match a cookie (e.g. "foo.bar.com", "bar.com", "com") + domains = itertools.accumulate( + reversed(hostname.split(".")), _FORMAT_DOMAIN_REVERSED + ) + + # Get all the path prefixes that might match a cookie (e.g. "", "/foo", "/foo/bar") + paths = itertools.accumulate(request_url.path.split("/"), _FORMAT_PATH) + # Create every combination of (domain, path) pairs. + pairs = itertools.product(domains, paths) + + path_len = len(request_url.path) + # Point 2: https://www.rfc-editor.org/rfc/rfc6265.html#section-5.4 + for p in pairs: + if p not in self._cookies: + continue + for name, cookie in self._cookies[p].items(): + domain = cookie["domain"] + + if (domain, name) in self._host_only_cookies and domain != hostname: + continue + + # Skip edge case when the cookie has a trailing slash but request doesn't. + if len(cookie["path"]) > path_len: + continue + + if is_not_secure and cookie["secure"]: + continue + + # We already built the Morsel so reuse it here + if name in self._morsel_cache[p]: + filtered[name] = self._morsel_cache[p][name] + continue + + # Build and cache the morsel + mrsl_val = self._build_morsel(cookie) + self._morsel_cache[p][name] = mrsl_val + filtered[name] = mrsl_val + + return filtered + + def _build_morsel(self, cookie: Morsel[str]) -> Morsel[str]: + """Build a morsel for sending, respecting quote_cookie setting.""" + if self._quote_cookie and cookie.coded_value and cookie.coded_value[0] == '"': + return preserve_morsel_with_coded_value(cookie) + morsel: Morsel[str] = Morsel() + if self._quote_cookie: + value, coded_value = _SIMPLE_COOKIE.value_encode(cookie.value) + else: + coded_value = value = cookie.value + # We use __setstate__ instead of the public set() API because it allows us to + # bypass validation and set already validated state. This is more stable than + # setting protected attributes directly and unlikely to change since it would + # break pickling. + morsel.__setstate__({"key": cookie.key, "value": value, "coded_value": coded_value}) # type: ignore[attr-defined] + return morsel + + @staticmethod + def _is_domain_match(domain: str, hostname: str) -> bool: + """Implements domain matching adhering to RFC 6265.""" + if hostname == domain: + return True + + if not hostname.endswith(domain): + return False + + non_matching = hostname[: -len(domain)] + + if not non_matching.endswith("."): + return False + + return not is_ip_address(hostname) + + @classmethod + def _parse_date(cls, date_str: str) -> Optional[int]: + """Implements date string parsing adhering to RFC 6265.""" + if not date_str: + return None + + found_time = False + found_day = False + found_month = False + found_year = False + + hour = minute = second = 0 + day = 0 + month = 0 + year = 0 + + for token_match in cls.DATE_TOKENS_RE.finditer(date_str): + + token = token_match.group("token") + + if not found_time: + time_match = cls.DATE_HMS_TIME_RE.match(token) + if time_match: + found_time = True + hour, minute, second = (int(s) for s in time_match.groups()) + continue + + if not found_day: + day_match = cls.DATE_DAY_OF_MONTH_RE.match(token) + if day_match: + found_day = True + day = int(day_match.group()) + continue + + if not found_month: + month_match = cls.DATE_MONTH_RE.match(token) + if month_match: + found_month = True + assert month_match.lastindex is not None + month = month_match.lastindex + continue + + if not found_year: + year_match = cls.DATE_YEAR_RE.match(token) + if year_match: + found_year = True + year = int(year_match.group()) + + if 70 <= year <= 99: + year += 1900 + elif 0 <= year <= 69: + year += 2000 + + if False in (found_day, found_month, found_year, found_time): + return None + + if not 1 <= day <= 31: + return None + + if year < 1601 or hour > 23 or minute > 59 or second > 59: + return None + + return calendar.timegm((year, month, day, hour, minute, second, -1, -1, -1)) + + +class DummyCookieJar(AbstractCookieJar): + """Implements a dummy cookie storage. + + It can be used with the ClientSession when no cookie processing is needed. + + """ + + def __init__(self, *, loop: Optional[asyncio.AbstractEventLoop] = None) -> None: + super().__init__(loop=loop) + + def __iter__(self) -> "Iterator[Morsel[str]]": + while False: + yield None + + def __len__(self) -> int: + return 0 + + @property + def quote_cookie(self) -> bool: + return True + + def clear(self, predicate: Optional[ClearCookiePredicate] = None) -> None: + pass + + def clear_domain(self, domain: str) -> None: + pass + + def update_cookies(self, cookies: LooseCookies, response_url: URL = URL()) -> None: + pass + + def filter_cookies(self, request_url: URL) -> "BaseCookie[str]": + return SimpleCookie() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/formdata.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/formdata.py new file mode 100644 index 0000000000000000000000000000000000000000..a5a4f603e190cdc66fe34e95a47983377f94666f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/formdata.py @@ -0,0 +1,179 @@ +import io +import warnings +from typing import Any, Iterable, List, Optional +from urllib.parse import urlencode + +from multidict import MultiDict, MultiDictProxy + +from . import hdrs, multipart, payload +from .helpers import guess_filename +from .payload import Payload + +__all__ = ("FormData",) + + +class FormData: + """Helper class for form body generation. + + Supports multipart/form-data and application/x-www-form-urlencoded. + """ + + def __init__( + self, + fields: Iterable[Any] = (), + quote_fields: bool = True, + charset: Optional[str] = None, + *, + default_to_multipart: bool = False, + ) -> None: + self._writer = multipart.MultipartWriter("form-data") + self._fields: List[Any] = [] + self._is_multipart = default_to_multipart + self._quote_fields = quote_fields + self._charset = charset + + if isinstance(fields, dict): + fields = list(fields.items()) + elif not isinstance(fields, (list, tuple)): + fields = (fields,) + self.add_fields(*fields) + + @property + def is_multipart(self) -> bool: + return self._is_multipart + + def add_field( + self, + name: str, + value: Any, + *, + content_type: Optional[str] = None, + filename: Optional[str] = None, + content_transfer_encoding: Optional[str] = None, + ) -> None: + + if isinstance(value, io.IOBase): + self._is_multipart = True + elif isinstance(value, (bytes, bytearray, memoryview)): + msg = ( + "In v4, passing bytes will no longer create a file field. " + "Please explicitly use the filename parameter or pass a BytesIO object." + ) + if filename is None and content_transfer_encoding is None: + warnings.warn(msg, DeprecationWarning) + filename = name + + type_options: MultiDict[str] = MultiDict({"name": name}) + if filename is not None and not isinstance(filename, str): + raise TypeError("filename must be an instance of str. Got: %s" % filename) + if filename is None and isinstance(value, io.IOBase): + filename = guess_filename(value, name) + if filename is not None: + type_options["filename"] = filename + self._is_multipart = True + + headers = {} + if content_type is not None: + if not isinstance(content_type, str): + raise TypeError( + "content_type must be an instance of str. Got: %s" % content_type + ) + headers[hdrs.CONTENT_TYPE] = content_type + self._is_multipart = True + if content_transfer_encoding is not None: + if not isinstance(content_transfer_encoding, str): + raise TypeError( + "content_transfer_encoding must be an instance" + " of str. Got: %s" % content_transfer_encoding + ) + msg = ( + "content_transfer_encoding is deprecated. " + "To maintain compatibility with v4 please pass a BytesPayload." + ) + warnings.warn(msg, DeprecationWarning) + self._is_multipart = True + + self._fields.append((type_options, headers, value)) + + def add_fields(self, *fields: Any) -> None: + to_add = list(fields) + + while to_add: + rec = to_add.pop(0) + + if isinstance(rec, io.IOBase): + k = guess_filename(rec, "unknown") + self.add_field(k, rec) # type: ignore[arg-type] + + elif isinstance(rec, (MultiDictProxy, MultiDict)): + to_add.extend(rec.items()) + + elif isinstance(rec, (list, tuple)) and len(rec) == 2: + k, fp = rec + self.add_field(k, fp) + + else: + raise TypeError( + "Only io.IOBase, multidict and (name, file) " + "pairs allowed, use .add_field() for passing " + "more complex parameters, got {!r}".format(rec) + ) + + def _gen_form_urlencoded(self) -> payload.BytesPayload: + # form data (x-www-form-urlencoded) + data = [] + for type_options, _, value in self._fields: + data.append((type_options["name"], value)) + + charset = self._charset if self._charset is not None else "utf-8" + + if charset == "utf-8": + content_type = "application/x-www-form-urlencoded" + else: + content_type = "application/x-www-form-urlencoded; charset=%s" % charset + + return payload.BytesPayload( + urlencode(data, doseq=True, encoding=charset).encode(), + content_type=content_type, + ) + + def _gen_form_data(self) -> multipart.MultipartWriter: + """Encode a list of fields using the multipart/form-data MIME format""" + for dispparams, headers, value in self._fields: + try: + if hdrs.CONTENT_TYPE in headers: + part = payload.get_payload( + value, + content_type=headers[hdrs.CONTENT_TYPE], + headers=headers, + encoding=self._charset, + ) + else: + part = payload.get_payload( + value, headers=headers, encoding=self._charset + ) + except Exception as exc: + raise TypeError( + "Can not serialize value type: %r\n " + "headers: %r\n value: %r" % (type(value), headers, value) + ) from exc + + if dispparams: + part.set_content_disposition( + "form-data", quote_fields=self._quote_fields, **dispparams + ) + # FIXME cgi.FieldStorage doesn't likes body parts with + # Content-Length which were sent via chunked transfer encoding + assert part.headers is not None + part.headers.popall(hdrs.CONTENT_LENGTH, None) + + self._writer.append_payload(part) + + self._fields.clear() + return self._writer + + def __call__(self) -> Payload: + if self._is_multipart: + return self._gen_form_data() + else: + return self._gen_form_urlencoded() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/hdrs.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/hdrs.py new file mode 100644 index 0000000000000000000000000000000000000000..c8d6b35f33ae4be537d7776ce4085982618d1305 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/hdrs.py @@ -0,0 +1,121 @@ +"""HTTP Headers constants.""" + +# After changing the file content call ./tools/gen.py +# to regenerate the headers parser +import itertools +from typing import Final, Set + +from multidict import istr + +METH_ANY: Final[str] = "*" +METH_CONNECT: Final[str] = "CONNECT" +METH_HEAD: Final[str] = "HEAD" +METH_GET: Final[str] = "GET" +METH_DELETE: Final[str] = "DELETE" +METH_OPTIONS: Final[str] = "OPTIONS" +METH_PATCH: Final[str] = "PATCH" +METH_POST: Final[str] = "POST" +METH_PUT: Final[str] = "PUT" +METH_TRACE: Final[str] = "TRACE" + +METH_ALL: Final[Set[str]] = { + METH_CONNECT, + METH_HEAD, + METH_GET, + METH_DELETE, + METH_OPTIONS, + METH_PATCH, + METH_POST, + METH_PUT, + METH_TRACE, +} + +ACCEPT: Final[istr] = istr("Accept") +ACCEPT_CHARSET: Final[istr] = istr("Accept-Charset") +ACCEPT_ENCODING: Final[istr] = istr("Accept-Encoding") +ACCEPT_LANGUAGE: Final[istr] = istr("Accept-Language") +ACCEPT_RANGES: Final[istr] = istr("Accept-Ranges") +ACCESS_CONTROL_MAX_AGE: Final[istr] = istr("Access-Control-Max-Age") +ACCESS_CONTROL_ALLOW_CREDENTIALS: Final[istr] = istr("Access-Control-Allow-Credentials") +ACCESS_CONTROL_ALLOW_HEADERS: Final[istr] = istr("Access-Control-Allow-Headers") +ACCESS_CONTROL_ALLOW_METHODS: Final[istr] = istr("Access-Control-Allow-Methods") +ACCESS_CONTROL_ALLOW_ORIGIN: Final[istr] = istr("Access-Control-Allow-Origin") +ACCESS_CONTROL_EXPOSE_HEADERS: Final[istr] = istr("Access-Control-Expose-Headers") +ACCESS_CONTROL_REQUEST_HEADERS: Final[istr] = istr("Access-Control-Request-Headers") +ACCESS_CONTROL_REQUEST_METHOD: Final[istr] = istr("Access-Control-Request-Method") +AGE: Final[istr] = istr("Age") +ALLOW: Final[istr] = istr("Allow") +AUTHORIZATION: Final[istr] = istr("Authorization") +CACHE_CONTROL: Final[istr] = istr("Cache-Control") +CONNECTION: Final[istr] = istr("Connection") +CONTENT_DISPOSITION: Final[istr] = istr("Content-Disposition") +CONTENT_ENCODING: Final[istr] = istr("Content-Encoding") +CONTENT_LANGUAGE: Final[istr] = istr("Content-Language") +CONTENT_LENGTH: Final[istr] = istr("Content-Length") +CONTENT_LOCATION: Final[istr] = istr("Content-Location") +CONTENT_MD5: Final[istr] = istr("Content-MD5") +CONTENT_RANGE: Final[istr] = istr("Content-Range") +CONTENT_TRANSFER_ENCODING: Final[istr] = istr("Content-Transfer-Encoding") +CONTENT_TYPE: Final[istr] = istr("Content-Type") +COOKIE: Final[istr] = istr("Cookie") +DATE: Final[istr] = istr("Date") +DESTINATION: Final[istr] = istr("Destination") +DIGEST: Final[istr] = istr("Digest") +ETAG: Final[istr] = istr("Etag") +EXPECT: Final[istr] = istr("Expect") +EXPIRES: Final[istr] = istr("Expires") +FORWARDED: Final[istr] = istr("Forwarded") +FROM: Final[istr] = istr("From") +HOST: Final[istr] = istr("Host") +IF_MATCH: Final[istr] = istr("If-Match") +IF_MODIFIED_SINCE: Final[istr] = istr("If-Modified-Since") +IF_NONE_MATCH: Final[istr] = istr("If-None-Match") +IF_RANGE: Final[istr] = istr("If-Range") +IF_UNMODIFIED_SINCE: Final[istr] = istr("If-Unmodified-Since") +KEEP_ALIVE: Final[istr] = istr("Keep-Alive") +LAST_EVENT_ID: Final[istr] = istr("Last-Event-ID") +LAST_MODIFIED: Final[istr] = istr("Last-Modified") +LINK: Final[istr] = istr("Link") +LOCATION: Final[istr] = istr("Location") +MAX_FORWARDS: Final[istr] = istr("Max-Forwards") +ORIGIN: Final[istr] = istr("Origin") +PRAGMA: Final[istr] = istr("Pragma") +PROXY_AUTHENTICATE: Final[istr] = istr("Proxy-Authenticate") +PROXY_AUTHORIZATION: Final[istr] = istr("Proxy-Authorization") +RANGE: Final[istr] = istr("Range") +REFERER: Final[istr] = istr("Referer") +RETRY_AFTER: Final[istr] = istr("Retry-After") +SEC_WEBSOCKET_ACCEPT: Final[istr] = istr("Sec-WebSocket-Accept") +SEC_WEBSOCKET_VERSION: Final[istr] = istr("Sec-WebSocket-Version") +SEC_WEBSOCKET_PROTOCOL: Final[istr] = istr("Sec-WebSocket-Protocol") +SEC_WEBSOCKET_EXTENSIONS: Final[istr] = istr("Sec-WebSocket-Extensions") +SEC_WEBSOCKET_KEY: Final[istr] = istr("Sec-WebSocket-Key") +SEC_WEBSOCKET_KEY1: Final[istr] = istr("Sec-WebSocket-Key1") +SERVER: Final[istr] = istr("Server") +SET_COOKIE: Final[istr] = istr("Set-Cookie") +TE: Final[istr] = istr("TE") +TRAILER: Final[istr] = istr("Trailer") +TRANSFER_ENCODING: Final[istr] = istr("Transfer-Encoding") +UPGRADE: Final[istr] = istr("Upgrade") +URI: Final[istr] = istr("URI") +USER_AGENT: Final[istr] = istr("User-Agent") +VARY: Final[istr] = istr("Vary") +VIA: Final[istr] = istr("Via") +WANT_DIGEST: Final[istr] = istr("Want-Digest") +WARNING: Final[istr] = istr("Warning") +WWW_AUTHENTICATE: Final[istr] = istr("WWW-Authenticate") +X_FORWARDED_FOR: Final[istr] = istr("X-Forwarded-For") +X_FORWARDED_HOST: Final[istr] = istr("X-Forwarded-Host") +X_FORWARDED_PROTO: Final[istr] = istr("X-Forwarded-Proto") + +# These are the upper/lower case variants of the headers/methods +# Example: {'hOst', 'host', 'HoST', 'HOSt', 'hOsT', 'HosT', 'hoSt', ...} +METH_HEAD_ALL: Final = frozenset( + map("".join, itertools.product(*zip(METH_HEAD.upper(), METH_HEAD.lower()))) +) +METH_CONNECT_ALL: Final = frozenset( + map("".join, itertools.product(*zip(METH_CONNECT.upper(), METH_CONNECT.lower()))) +) +HOST_ALL: Final = frozenset( + map("".join, itertools.product(*zip(HOST.upper(), HOST.lower()))) +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/helpers.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/helpers.py new file mode 100644 index 0000000000000000000000000000000000000000..dfab9877d398a9c8807ad2614397b3e54316ed1f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/helpers.py @@ -0,0 +1,986 @@ +"""Various helper functions""" + +import asyncio +import base64 +import binascii +import contextlib +import datetime +import enum +import functools +import inspect +import netrc +import os +import platform +import re +import sys +import time +import weakref +from collections import namedtuple +from contextlib import suppress +from email.message import EmailMessage +from email.parser import HeaderParser +from email.policy import HTTP +from email.utils import parsedate +from math import ceil +from pathlib import Path +from types import MappingProxyType, TracebackType +from typing import ( + Any, + Callable, + ContextManager, + Dict, + Generator, + Generic, + Iterable, + Iterator, + List, + Mapping, + Optional, + Protocol, + Tuple, + Type, + TypeVar, + Union, + get_args, + overload, +) +from urllib.parse import quote +from urllib.request import getproxies, proxy_bypass + +import attr +from multidict import MultiDict, MultiDictProxy, MultiMapping +from propcache.api import under_cached_property as reify +from yarl import URL + +from . import hdrs +from .log import client_logger + +if sys.version_info >= (3, 11): + import asyncio as async_timeout +else: + import async_timeout + +__all__ = ("BasicAuth", "ChainMapProxy", "ETag", "reify") + +IS_MACOS = platform.system() == "Darwin" +IS_WINDOWS = platform.system() == "Windows" + +PY_310 = sys.version_info >= (3, 10) +PY_311 = sys.version_info >= (3, 11) + + +_T = TypeVar("_T") +_S = TypeVar("_S") + +_SENTINEL = enum.Enum("_SENTINEL", "sentinel") +sentinel = _SENTINEL.sentinel + +NO_EXTENSIONS = bool(os.environ.get("AIOHTTP_NO_EXTENSIONS")) + +# https://datatracker.ietf.org/doc/html/rfc9112#section-6.3-2.1 +EMPTY_BODY_STATUS_CODES = frozenset((204, 304, *range(100, 200))) +# https://datatracker.ietf.org/doc/html/rfc9112#section-6.3-2.1 +# https://datatracker.ietf.org/doc/html/rfc9112#section-6.3-2.2 +EMPTY_BODY_METHODS = hdrs.METH_HEAD_ALL + +DEBUG = sys.flags.dev_mode or ( + not sys.flags.ignore_environment and bool(os.environ.get("PYTHONASYNCIODEBUG")) +) + + +CHAR = {chr(i) for i in range(0, 128)} +CTL = {chr(i) for i in range(0, 32)} | { + chr(127), +} +SEPARATORS = { + "(", + ")", + "<", + ">", + "@", + ",", + ";", + ":", + "\\", + '"', + "/", + "[", + "]", + "?", + "=", + "{", + "}", + " ", + chr(9), +} +TOKEN = CHAR ^ CTL ^ SEPARATORS + + +class noop: + def __await__(self) -> Generator[None, None, None]: + yield + + +class BasicAuth(namedtuple("BasicAuth", ["login", "password", "encoding"])): + """Http basic authentication helper.""" + + def __new__( + cls, login: str, password: str = "", encoding: str = "latin1" + ) -> "BasicAuth": + if login is None: + raise ValueError("None is not allowed as login value") + + if password is None: + raise ValueError("None is not allowed as password value") + + if ":" in login: + raise ValueError('A ":" is not allowed in login (RFC 1945#section-11.1)') + + return super().__new__(cls, login, password, encoding) + + @classmethod + def decode(cls, auth_header: str, encoding: str = "latin1") -> "BasicAuth": + """Create a BasicAuth object from an Authorization HTTP header.""" + try: + auth_type, encoded_credentials = auth_header.split(" ", 1) + except ValueError: + raise ValueError("Could not parse authorization header.") + + if auth_type.lower() != "basic": + raise ValueError("Unknown authorization method %s" % auth_type) + + try: + decoded = base64.b64decode( + encoded_credentials.encode("ascii"), validate=True + ).decode(encoding) + except binascii.Error: + raise ValueError("Invalid base64 encoding.") + + try: + # RFC 2617 HTTP Authentication + # https://www.ietf.org/rfc/rfc2617.txt + # the colon must be present, but the username and password may be + # otherwise blank. + username, password = decoded.split(":", 1) + except ValueError: + raise ValueError("Invalid credentials.") + + return cls(username, password, encoding=encoding) + + @classmethod + def from_url(cls, url: URL, *, encoding: str = "latin1") -> Optional["BasicAuth"]: + """Create BasicAuth from url.""" + if not isinstance(url, URL): + raise TypeError("url should be yarl.URL instance") + # Check raw_user and raw_password first as yarl is likely + # to already have these values parsed from the netloc in the cache. + if url.raw_user is None and url.raw_password is None: + return None + return cls(url.user or "", url.password or "", encoding=encoding) + + def encode(self) -> str: + """Encode credentials.""" + creds = (f"{self.login}:{self.password}").encode(self.encoding) + return "Basic %s" % base64.b64encode(creds).decode(self.encoding) + + +def strip_auth_from_url(url: URL) -> Tuple[URL, Optional[BasicAuth]]: + """Remove user and password from URL if present and return BasicAuth object.""" + # Check raw_user and raw_password first as yarl is likely + # to already have these values parsed from the netloc in the cache. + if url.raw_user is None and url.raw_password is None: + return url, None + return url.with_user(None), BasicAuth(url.user or "", url.password or "") + + +def netrc_from_env() -> Optional[netrc.netrc]: + """Load netrc from file. + + Attempt to load it from the path specified by the env-var + NETRC or in the default location in the user's home directory. + + Returns None if it couldn't be found or fails to parse. + """ + netrc_env = os.environ.get("NETRC") + + if netrc_env is not None: + netrc_path = Path(netrc_env) + else: + try: + home_dir = Path.home() + except RuntimeError as e: # pragma: no cover + # if pathlib can't resolve home, it may raise a RuntimeError + client_logger.debug( + "Could not resolve home directory when " + "trying to look for .netrc file: %s", + e, + ) + return None + + netrc_path = home_dir / ("_netrc" if IS_WINDOWS else ".netrc") + + try: + return netrc.netrc(str(netrc_path)) + except netrc.NetrcParseError as e: + client_logger.warning("Could not parse .netrc file: %s", e) + except OSError as e: + netrc_exists = False + with contextlib.suppress(OSError): + netrc_exists = netrc_path.is_file() + # we couldn't read the file (doesn't exist, permissions, etc.) + if netrc_env or netrc_exists: + # only warn if the environment wanted us to load it, + # or it appears like the default file does actually exist + client_logger.warning("Could not read .netrc file: %s", e) + + return None + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class ProxyInfo: + proxy: URL + proxy_auth: Optional[BasicAuth] + + +def basicauth_from_netrc(netrc_obj: Optional[netrc.netrc], host: str) -> BasicAuth: + """ + Return :py:class:`~aiohttp.BasicAuth` credentials for ``host`` from ``netrc_obj``. + + :raises LookupError: if ``netrc_obj`` is :py:data:`None` or if no + entry is found for the ``host``. + """ + if netrc_obj is None: + raise LookupError("No .netrc file found") + auth_from_netrc = netrc_obj.authenticators(host) + + if auth_from_netrc is None: + raise LookupError(f"No entry for {host!s} found in the `.netrc` file.") + login, account, password = auth_from_netrc + + # TODO(PY311): username = login or account + # Up to python 3.10, account could be None if not specified, + # and login will be empty string if not specified. From 3.11, + # login and account will be empty string if not specified. + username = login if (login or account is None) else account + + # TODO(PY311): Remove this, as password will be empty string + # if not specified + if password is None: + password = "" + + return BasicAuth(username, password) + + +def proxies_from_env() -> Dict[str, ProxyInfo]: + proxy_urls = { + k: URL(v) + for k, v in getproxies().items() + if k in ("http", "https", "ws", "wss") + } + netrc_obj = netrc_from_env() + stripped = {k: strip_auth_from_url(v) for k, v in proxy_urls.items()} + ret = {} + for proto, val in stripped.items(): + proxy, auth = val + if proxy.scheme in ("https", "wss"): + client_logger.warning( + "%s proxies %s are not supported, ignoring", proxy.scheme.upper(), proxy + ) + continue + if netrc_obj and auth is None: + if proxy.host is not None: + try: + auth = basicauth_from_netrc(netrc_obj, proxy.host) + except LookupError: + auth = None + ret[proto] = ProxyInfo(proxy, auth) + return ret + + +def get_env_proxy_for_url(url: URL) -> Tuple[URL, Optional[BasicAuth]]: + """Get a permitted proxy for the given URL from the env.""" + if url.host is not None and proxy_bypass(url.host): + raise LookupError(f"Proxying is disallowed for `{url.host!r}`") + + proxies_in_env = proxies_from_env() + try: + proxy_info = proxies_in_env[url.scheme] + except KeyError: + raise LookupError(f"No proxies found for `{url!s}` in the env") + else: + return proxy_info.proxy, proxy_info.proxy_auth + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class MimeType: + type: str + subtype: str + suffix: str + parameters: "MultiDictProxy[str]" + + +@functools.lru_cache(maxsize=56) +def parse_mimetype(mimetype: str) -> MimeType: + """Parses a MIME type into its components. + + mimetype is a MIME type string. + + Returns a MimeType object. + + Example: + + >>> parse_mimetype('text/html; charset=utf-8') + MimeType(type='text', subtype='html', suffix='', + parameters={'charset': 'utf-8'}) + + """ + if not mimetype: + return MimeType( + type="", subtype="", suffix="", parameters=MultiDictProxy(MultiDict()) + ) + + parts = mimetype.split(";") + params: MultiDict[str] = MultiDict() + for item in parts[1:]: + if not item: + continue + key, _, value = item.partition("=") + params.add(key.lower().strip(), value.strip(' "')) + + fulltype = parts[0].strip().lower() + if fulltype == "*": + fulltype = "*/*" + + mtype, _, stype = fulltype.partition("/") + stype, _, suffix = stype.partition("+") + + return MimeType( + type=mtype, subtype=stype, suffix=suffix, parameters=MultiDictProxy(params) + ) + + +class EnsureOctetStream(EmailMessage): + def __init__(self) -> None: + super().__init__() + # https://www.rfc-editor.org/rfc/rfc9110#section-8.3-5 + self.set_default_type("application/octet-stream") + + def get_content_type(self) -> str: + """Re-implementation from Message + + Returns application/octet-stream in place of plain/text when + value is wrong. + + The way this class is used guarantees that content-type will + be present so simplify the checks wrt to the base implementation. + """ + value = self.get("content-type", "").lower() + + # Based on the implementation of _splitparam in the standard library + ctype, _, _ = value.partition(";") + ctype = ctype.strip() + if ctype.count("/") != 1: + return self.get_default_type() + return ctype + + +@functools.lru_cache(maxsize=56) +def parse_content_type(raw: str) -> Tuple[str, MappingProxyType[str, str]]: + """Parse Content-Type header. + + Returns a tuple of the parsed content type and a + MappingProxyType of parameters. The default returned value + is `application/octet-stream` + """ + msg = HeaderParser(EnsureOctetStream, policy=HTTP).parsestr(f"Content-Type: {raw}") + content_type = msg.get_content_type() + params = msg.get_params(()) + content_dict = dict(params[1:]) # First element is content type again + return content_type, MappingProxyType(content_dict) + + +def guess_filename(obj: Any, default: Optional[str] = None) -> Optional[str]: + name = getattr(obj, "name", None) + if name and isinstance(name, str) and name[0] != "<" and name[-1] != ">": + return Path(name).name + return default + + +not_qtext_re = re.compile(r"[^\041\043-\133\135-\176]") +QCONTENT = {chr(i) for i in range(0x20, 0x7F)} | {"\t"} + + +def quoted_string(content: str) -> str: + """Return 7-bit content as quoted-string. + + Format content into a quoted-string as defined in RFC5322 for + Internet Message Format. Notice that this is not the 8-bit HTTP + format, but the 7-bit email format. Content must be in usascii or + a ValueError is raised. + """ + if not (QCONTENT > set(content)): + raise ValueError(f"bad content for quoted-string {content!r}") + return not_qtext_re.sub(lambda x: "\\" + x.group(0), content) + + +def content_disposition_header( + disptype: str, quote_fields: bool = True, _charset: str = "utf-8", **params: str +) -> str: + """Sets ``Content-Disposition`` header for MIME. + + This is the MIME payload Content-Disposition header from RFC 2183 + and RFC 7579 section 4.2, not the HTTP Content-Disposition from + RFC 6266. + + disptype is a disposition type: inline, attachment, form-data. + Should be valid extension token (see RFC 2183) + + quote_fields performs value quoting to 7-bit MIME headers + according to RFC 7578. Set to quote_fields to False if recipient + can take 8-bit file names and field values. + + _charset specifies the charset to use when quote_fields is True. + + params is a dict with disposition params. + """ + if not disptype or not (TOKEN > set(disptype)): + raise ValueError(f"bad content disposition type {disptype!r}") + + value = disptype + if params: + lparams = [] + for key, val in params.items(): + if not key or not (TOKEN > set(key)): + raise ValueError(f"bad content disposition parameter {key!r}={val!r}") + if quote_fields: + if key.lower() == "filename": + qval = quote(val, "", encoding=_charset) + lparams.append((key, '"%s"' % qval)) + else: + try: + qval = quoted_string(val) + except ValueError: + qval = "".join( + (_charset, "''", quote(val, "", encoding=_charset)) + ) + lparams.append((key + "*", qval)) + else: + lparams.append((key, '"%s"' % qval)) + else: + qval = val.replace("\\", "\\\\").replace('"', '\\"') + lparams.append((key, '"%s"' % qval)) + sparams = "; ".join("=".join(pair) for pair in lparams) + value = "; ".join((value, sparams)) + return value + + +def is_ip_address(host: Optional[str]) -> bool: + """Check if host looks like an IP Address. + + This check is only meant as a heuristic to ensure that + a host is not a domain name. + """ + if not host: + return False + # For a host to be an ipv4 address, it must be all numeric. + # The host must contain a colon to be an IPv6 address. + return ":" in host or host.replace(".", "").isdigit() + + +_cached_current_datetime: Optional[int] = None +_cached_formatted_datetime = "" + + +def rfc822_formatted_time() -> str: + global _cached_current_datetime + global _cached_formatted_datetime + + now = int(time.time()) + if now != _cached_current_datetime: + # Weekday and month names for HTTP date/time formatting; + # always English! + # Tuples are constants stored in codeobject! + _weekdayname = ("Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun") + _monthname = ( + "", # Dummy so we can use 1-based month numbers + "Jan", + "Feb", + "Mar", + "Apr", + "May", + "Jun", + "Jul", + "Aug", + "Sep", + "Oct", + "Nov", + "Dec", + ) + + year, month, day, hh, mm, ss, wd, *tail = time.gmtime(now) + _cached_formatted_datetime = "%s, %02d %3s %4d %02d:%02d:%02d GMT" % ( + _weekdayname[wd], + day, + _monthname[month], + year, + hh, + mm, + ss, + ) + _cached_current_datetime = now + return _cached_formatted_datetime + + +def _weakref_handle(info: "Tuple[weakref.ref[object], str]") -> None: + ref, name = info + ob = ref() + if ob is not None: + with suppress(Exception): + getattr(ob, name)() + + +def weakref_handle( + ob: object, + name: str, + timeout: float, + loop: asyncio.AbstractEventLoop, + timeout_ceil_threshold: float = 5, +) -> Optional[asyncio.TimerHandle]: + if timeout is not None and timeout > 0: + when = loop.time() + timeout + if timeout >= timeout_ceil_threshold: + when = ceil(when) + + return loop.call_at(when, _weakref_handle, (weakref.ref(ob), name)) + return None + + +def call_later( + cb: Callable[[], Any], + timeout: float, + loop: asyncio.AbstractEventLoop, + timeout_ceil_threshold: float = 5, +) -> Optional[asyncio.TimerHandle]: + if timeout is None or timeout <= 0: + return None + now = loop.time() + when = calculate_timeout_when(now, timeout, timeout_ceil_threshold) + return loop.call_at(when, cb) + + +def calculate_timeout_when( + loop_time: float, + timeout: float, + timeout_ceiling_threshold: float, +) -> float: + """Calculate when to execute a timeout.""" + when = loop_time + timeout + if timeout > timeout_ceiling_threshold: + return ceil(when) + return when + + +class TimeoutHandle: + """Timeout handle""" + + __slots__ = ("_timeout", "_loop", "_ceil_threshold", "_callbacks") + + def __init__( + self, + loop: asyncio.AbstractEventLoop, + timeout: Optional[float], + ceil_threshold: float = 5, + ) -> None: + self._timeout = timeout + self._loop = loop + self._ceil_threshold = ceil_threshold + self._callbacks: List[ + Tuple[Callable[..., None], Tuple[Any, ...], Dict[str, Any]] + ] = [] + + def register( + self, callback: Callable[..., None], *args: Any, **kwargs: Any + ) -> None: + self._callbacks.append((callback, args, kwargs)) + + def close(self) -> None: + self._callbacks.clear() + + def start(self) -> Optional[asyncio.TimerHandle]: + timeout = self._timeout + if timeout is not None and timeout > 0: + when = self._loop.time() + timeout + if timeout >= self._ceil_threshold: + when = ceil(when) + return self._loop.call_at(when, self.__call__) + else: + return None + + def timer(self) -> "BaseTimerContext": + if self._timeout is not None and self._timeout > 0: + timer = TimerContext(self._loop) + self.register(timer.timeout) + return timer + else: + return TimerNoop() + + def __call__(self) -> None: + for cb, args, kwargs in self._callbacks: + with suppress(Exception): + cb(*args, **kwargs) + + self._callbacks.clear() + + +class BaseTimerContext(ContextManager["BaseTimerContext"]): + + __slots__ = () + + def assert_timeout(self) -> None: + """Raise TimeoutError if timeout has been exceeded.""" + + +class TimerNoop(BaseTimerContext): + + __slots__ = () + + def __enter__(self) -> BaseTimerContext: + return self + + def __exit__( + self, + exc_type: Optional[Type[BaseException]], + exc_val: Optional[BaseException], + exc_tb: Optional[TracebackType], + ) -> None: + return + + +class TimerContext(BaseTimerContext): + """Low resolution timeout context manager""" + + __slots__ = ("_loop", "_tasks", "_cancelled", "_cancelling") + + def __init__(self, loop: asyncio.AbstractEventLoop) -> None: + self._loop = loop + self._tasks: List[asyncio.Task[Any]] = [] + self._cancelled = False + self._cancelling = 0 + + def assert_timeout(self) -> None: + """Raise TimeoutError if timer has already been cancelled.""" + if self._cancelled: + raise asyncio.TimeoutError from None + + def __enter__(self) -> BaseTimerContext: + task = asyncio.current_task(loop=self._loop) + if task is None: + raise RuntimeError("Timeout context manager should be used inside a task") + + if sys.version_info >= (3, 11): + # Remember if the task was already cancelling + # so when we __exit__ we can decide if we should + # raise asyncio.TimeoutError or let the cancellation propagate + self._cancelling = task.cancelling() + + if self._cancelled: + raise asyncio.TimeoutError from None + + self._tasks.append(task) + return self + + def __exit__( + self, + exc_type: Optional[Type[BaseException]], + exc_val: Optional[BaseException], + exc_tb: Optional[TracebackType], + ) -> Optional[bool]: + enter_task: Optional[asyncio.Task[Any]] = None + if self._tasks: + enter_task = self._tasks.pop() + + if exc_type is asyncio.CancelledError and self._cancelled: + assert enter_task is not None + # The timeout was hit, and the task was cancelled + # so we need to uncancel the last task that entered the context manager + # since the cancellation should not leak out of the context manager + if sys.version_info >= (3, 11): + # If the task was already cancelling don't raise + # asyncio.TimeoutError and instead return None + # to allow the cancellation to propagate + if enter_task.uncancel() > self._cancelling: + return None + raise asyncio.TimeoutError from exc_val + return None + + def timeout(self) -> None: + if not self._cancelled: + for task in set(self._tasks): + task.cancel() + + self._cancelled = True + + +def ceil_timeout( + delay: Optional[float], ceil_threshold: float = 5 +) -> async_timeout.Timeout: + if delay is None or delay <= 0: + return async_timeout.timeout(None) + + loop = asyncio.get_running_loop() + now = loop.time() + when = now + delay + if delay > ceil_threshold: + when = ceil(when) + return async_timeout.timeout_at(when) + + +class HeadersMixin: + """Mixin for handling headers.""" + + ATTRS = frozenset(["_content_type", "_content_dict", "_stored_content_type"]) + + _headers: MultiMapping[str] + _content_type: Optional[str] = None + _content_dict: Optional[Dict[str, str]] = None + _stored_content_type: Union[str, None, _SENTINEL] = sentinel + + def _parse_content_type(self, raw: Optional[str]) -> None: + self._stored_content_type = raw + if raw is None: + # default value according to RFC 2616 + self._content_type = "application/octet-stream" + self._content_dict = {} + else: + content_type, content_mapping_proxy = parse_content_type(raw) + self._content_type = content_type + # _content_dict needs to be mutable so we can update it + self._content_dict = content_mapping_proxy.copy() + + @property + def content_type(self) -> str: + """The value of content part for Content-Type HTTP header.""" + raw = self._headers.get(hdrs.CONTENT_TYPE) + if self._stored_content_type != raw: + self._parse_content_type(raw) + assert self._content_type is not None + return self._content_type + + @property + def charset(self) -> Optional[str]: + """The value of charset part for Content-Type HTTP header.""" + raw = self._headers.get(hdrs.CONTENT_TYPE) + if self._stored_content_type != raw: + self._parse_content_type(raw) + assert self._content_dict is not None + return self._content_dict.get("charset") + + @property + def content_length(self) -> Optional[int]: + """The value of Content-Length HTTP header.""" + content_length = self._headers.get(hdrs.CONTENT_LENGTH) + return None if content_length is None else int(content_length) + + +def set_result(fut: "asyncio.Future[_T]", result: _T) -> None: + if not fut.done(): + fut.set_result(result) + + +_EXC_SENTINEL = BaseException() + + +class ErrorableProtocol(Protocol): + def set_exception( + self, + exc: BaseException, + exc_cause: BaseException = ..., + ) -> None: ... # pragma: no cover + + +def set_exception( + fut: "asyncio.Future[_T] | ErrorableProtocol", + exc: BaseException, + exc_cause: BaseException = _EXC_SENTINEL, +) -> None: + """Set future exception. + + If the future is marked as complete, this function is a no-op. + + :param exc_cause: An exception that is a direct cause of ``exc``. + Only set if provided. + """ + if asyncio.isfuture(fut) and fut.done(): + return + + exc_is_sentinel = exc_cause is _EXC_SENTINEL + exc_causes_itself = exc is exc_cause + if not exc_is_sentinel and not exc_causes_itself: + exc.__cause__ = exc_cause + + fut.set_exception(exc) + + +@functools.total_ordering +class AppKey(Generic[_T]): + """Keys for static typing support in Application.""" + + __slots__ = ("_name", "_t", "__orig_class__") + + # This may be set by Python when instantiating with a generic type. We need to + # support this, in order to support types that are not concrete classes, + # like Iterable, which can't be passed as the second parameter to __init__. + __orig_class__: Type[object] + + def __init__(self, name: str, t: Optional[Type[_T]] = None): + # Prefix with module name to help deduplicate key names. + frame = inspect.currentframe() + while frame: + if frame.f_code.co_name == "": + module: str = frame.f_globals["__name__"] + break + frame = frame.f_back + + self._name = module + "." + name + self._t = t + + def __lt__(self, other: object) -> bool: + if isinstance(other, AppKey): + return self._name < other._name + return True # Order AppKey above other types. + + def __repr__(self) -> str: + t = self._t + if t is None: + with suppress(AttributeError): + # Set to type arg. + t = get_args(self.__orig_class__)[0] + + if t is None: + t_repr = "<>" + elif isinstance(t, type): + if t.__module__ == "builtins": + t_repr = t.__qualname__ + else: + t_repr = f"{t.__module__}.{t.__qualname__}" + else: + t_repr = repr(t) + return f"" + + +class ChainMapProxy(Mapping[Union[str, AppKey[Any]], Any]): + __slots__ = ("_maps",) + + def __init__(self, maps: Iterable[Mapping[Union[str, AppKey[Any]], Any]]) -> None: + self._maps = tuple(maps) + + def __init_subclass__(cls) -> None: + raise TypeError( + "Inheritance class {} from ChainMapProxy " + "is forbidden".format(cls.__name__) + ) + + @overload # type: ignore[override] + def __getitem__(self, key: AppKey[_T]) -> _T: ... + + @overload + def __getitem__(self, key: str) -> Any: ... + + def __getitem__(self, key: Union[str, AppKey[_T]]) -> Any: + for mapping in self._maps: + try: + return mapping[key] + except KeyError: + pass + raise KeyError(key) + + @overload # type: ignore[override] + def get(self, key: AppKey[_T], default: _S) -> Union[_T, _S]: ... + + @overload + def get(self, key: AppKey[_T], default: None = ...) -> Optional[_T]: ... + + @overload + def get(self, key: str, default: Any = ...) -> Any: ... + + def get(self, key: Union[str, AppKey[_T]], default: Any = None) -> Any: + try: + return self[key] + except KeyError: + return default + + def __len__(self) -> int: + # reuses stored hash values if possible + return len(set().union(*self._maps)) + + def __iter__(self) -> Iterator[Union[str, AppKey[Any]]]: + d: Dict[Union[str, AppKey[Any]], Any] = {} + for mapping in reversed(self._maps): + # reuses stored hash values if possible + d.update(mapping) + return iter(d) + + def __contains__(self, key: object) -> bool: + return any(key in m for m in self._maps) + + def __bool__(self) -> bool: + return any(self._maps) + + def __repr__(self) -> str: + content = ", ".join(map(repr, self._maps)) + return f"ChainMapProxy({content})" + + +# https://tools.ietf.org/html/rfc7232#section-2.3 +_ETAGC = r"[!\x23-\x7E\x80-\xff]+" +_ETAGC_RE = re.compile(_ETAGC) +_QUOTED_ETAG = rf'(W/)?"({_ETAGC})"' +QUOTED_ETAG_RE = re.compile(_QUOTED_ETAG) +LIST_QUOTED_ETAG_RE = re.compile(rf"({_QUOTED_ETAG})(?:\s*,\s*|$)|(.)") + +ETAG_ANY = "*" + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class ETag: + value: str + is_weak: bool = False + + +def validate_etag_value(value: str) -> None: + if value != ETAG_ANY and not _ETAGC_RE.fullmatch(value): + raise ValueError( + f"Value {value!r} is not a valid etag. Maybe it contains '\"'?" + ) + + +def parse_http_date(date_str: Optional[str]) -> Optional[datetime.datetime]: + """Process a date string, return a datetime object""" + if date_str is not None: + timetuple = parsedate(date_str) + if timetuple is not None: + with suppress(ValueError): + return datetime.datetime(*timetuple[:6], tzinfo=datetime.timezone.utc) + return None + + +@functools.lru_cache +def must_be_empty_body(method: str, code: int) -> bool: + """Check if a request must return an empty body.""" + return ( + code in EMPTY_BODY_STATUS_CODES + or method in EMPTY_BODY_METHODS + or (200 <= code < 300 and method in hdrs.METH_CONNECT_ALL) + ) + + +def should_remove_content_length(method: str, code: int) -> bool: + """Check if a Content-Length header should be removed. + + This should always be a subset of must_be_empty_body + """ + # https://www.rfc-editor.org/rfc/rfc9110.html#section-8.6-8 + # https://www.rfc-editor.org/rfc/rfc9110.html#section-15.4.5-4 + return code in EMPTY_BODY_STATUS_CODES or ( + 200 <= code < 300 and method in hdrs.METH_CONNECT_ALL + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http.py new file mode 100644 index 0000000000000000000000000000000000000000..a1feae2d9b8fe631d539a15dbf8e5ea2914d70d5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http.py @@ -0,0 +1,72 @@ +import sys +from http import HTTPStatus +from typing import Mapping, Tuple + +from . import __version__ +from .http_exceptions import HttpProcessingError as HttpProcessingError +from .http_parser import ( + HeadersParser as HeadersParser, + HttpParser as HttpParser, + HttpRequestParser as HttpRequestParser, + HttpResponseParser as HttpResponseParser, + RawRequestMessage as RawRequestMessage, + RawResponseMessage as RawResponseMessage, +) +from .http_websocket import ( + WS_CLOSED_MESSAGE as WS_CLOSED_MESSAGE, + WS_CLOSING_MESSAGE as WS_CLOSING_MESSAGE, + WS_KEY as WS_KEY, + WebSocketError as WebSocketError, + WebSocketReader as WebSocketReader, + WebSocketWriter as WebSocketWriter, + WSCloseCode as WSCloseCode, + WSMessage as WSMessage, + WSMsgType as WSMsgType, + ws_ext_gen as ws_ext_gen, + ws_ext_parse as ws_ext_parse, +) +from .http_writer import ( + HttpVersion as HttpVersion, + HttpVersion10 as HttpVersion10, + HttpVersion11 as HttpVersion11, + StreamWriter as StreamWriter, +) + +__all__ = ( + "HttpProcessingError", + "RESPONSES", + "SERVER_SOFTWARE", + # .http_writer + "StreamWriter", + "HttpVersion", + "HttpVersion10", + "HttpVersion11", + # .http_parser + "HeadersParser", + "HttpParser", + "HttpRequestParser", + "HttpResponseParser", + "RawRequestMessage", + "RawResponseMessage", + # .http_websocket + "WS_CLOSED_MESSAGE", + "WS_CLOSING_MESSAGE", + "WS_KEY", + "WebSocketReader", + "WebSocketWriter", + "ws_ext_gen", + "ws_ext_parse", + "WSMessage", + "WebSocketError", + "WSMsgType", + "WSCloseCode", +) + + +SERVER_SOFTWARE: str = "Python/{0[0]}.{0[1]} aiohttp/{1}".format( + sys.version_info, __version__ +) + +RESPONSES: Mapping[int, Tuple[str, str]] = { + v: (v.phrase, v.description) for v in HTTPStatus.__members__.values() +} diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_exceptions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..0b5867c7861ec0ba2558784be068476a129954cd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_exceptions.py @@ -0,0 +1,116 @@ +"""Low-level http related exceptions.""" + +from textwrap import indent +from typing import Optional, Union + +from .typedefs import _CIMultiDict + +__all__ = ("HttpProcessingError",) + + +class HttpProcessingError(Exception): + """HTTP error. + + Shortcut for raising HTTP errors with custom code, message and headers. + + code: HTTP Error code. + message: (optional) Error message. + headers: (optional) Headers to be sent in response, a list of pairs + """ + + code = 0 + message = "" + headers = None + + def __init__( + self, + *, + code: Optional[int] = None, + message: str = "", + headers: Optional[_CIMultiDict] = None, + ) -> None: + if code is not None: + self.code = code + self.headers = headers + self.message = message + + def __str__(self) -> str: + msg = indent(self.message, " ") + return f"{self.code}, message:\n{msg}" + + def __repr__(self) -> str: + return f"<{self.__class__.__name__}: {self.code}, message={self.message!r}>" + + +class BadHttpMessage(HttpProcessingError): + + code = 400 + message = "Bad Request" + + def __init__(self, message: str, *, headers: Optional[_CIMultiDict] = None) -> None: + super().__init__(message=message, headers=headers) + self.args = (message,) + + +class HttpBadRequest(BadHttpMessage): + + code = 400 + message = "Bad Request" + + +class PayloadEncodingError(BadHttpMessage): + """Base class for payload errors""" + + +class ContentEncodingError(PayloadEncodingError): + """Content encoding error.""" + + +class TransferEncodingError(PayloadEncodingError): + """transfer encoding error.""" + + +class ContentLengthError(PayloadEncodingError): + """Not enough data to satisfy content length header.""" + + +class DecompressSizeError(PayloadEncodingError): + """Decompressed size exceeds the configured limit.""" + + +class LineTooLong(BadHttpMessage): + def __init__( + self, line: str, limit: str = "Unknown", actual_size: str = "Unknown" + ) -> None: + super().__init__( + f"Got more than {limit} bytes ({actual_size}) when reading {line}." + ) + self.args = (line, limit, actual_size) + + +class InvalidHeader(BadHttpMessage): + def __init__(self, hdr: Union[bytes, str]) -> None: + hdr_s = hdr.decode(errors="backslashreplace") if isinstance(hdr, bytes) else hdr + super().__init__(f"Invalid HTTP header: {hdr!r}") + self.hdr = hdr_s + self.args = (hdr,) + + +class BadStatusLine(BadHttpMessage): + def __init__(self, line: str = "", error: Optional[str] = None) -> None: + if not isinstance(line, str): + line = repr(line) + super().__init__(error or f"Bad status line {line!r}") + self.args = (line,) + self.line = line + + +class BadHttpMethod(BadStatusLine): + """Invalid HTTP method in status line.""" + + def __init__(self, line: str = "", error: Optional[str] = None) -> None: + super().__init__(line, error or f"Bad HTTP method in status line {line!r}") + + +class InvalidURLError(BadHttpMessage): + pass diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_parser.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_parser.py new file mode 100644 index 0000000000000000000000000000000000000000..393e76a15865f3f536a4483ab7a3b1cfcd0702e5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_parser.py @@ -0,0 +1,1086 @@ +import abc +import asyncio +import re +import string +from contextlib import suppress +from enum import IntEnum +from typing import ( + Any, + ClassVar, + Final, + Generic, + List, + Literal, + NamedTuple, + Optional, + Pattern, + Set, + Tuple, + Type, + TypeVar, + Union, +) + +from multidict import CIMultiDict, CIMultiDictProxy, istr +from yarl import URL + +from . import hdrs +from .base_protocol import BaseProtocol +from .compression_utils import ( + DEFAULT_MAX_DECOMPRESS_SIZE, + HAS_BROTLI, + HAS_ZSTD, + BrotliDecompressor, + ZLibDecompressor, + ZSTDDecompressor, +) +from .helpers import ( + _EXC_SENTINEL, + DEBUG, + EMPTY_BODY_METHODS, + EMPTY_BODY_STATUS_CODES, + NO_EXTENSIONS, + BaseTimerContext, + set_exception, +) +from .http_exceptions import ( + BadHttpMessage, + BadHttpMethod, + BadStatusLine, + ContentEncodingError, + ContentLengthError, + DecompressSizeError, + InvalidHeader, + InvalidURLError, + LineTooLong, + TransferEncodingError, +) +from .http_writer import HttpVersion, HttpVersion10 +from .streams import EMPTY_PAYLOAD, StreamReader +from .typedefs import RawHeaders + +__all__ = ( + "HeadersParser", + "HttpParser", + "HttpRequestParser", + "HttpResponseParser", + "RawRequestMessage", + "RawResponseMessage", +) + +_SEP = Literal[b"\r\n", b"\n"] + +ASCIISET: Final[Set[str]] = set(string.printable) + +# See https://www.rfc-editor.org/rfc/rfc9110.html#name-overview +# and https://www.rfc-editor.org/rfc/rfc9110.html#name-tokens +# +# method = token +# tchar = "!" / "#" / "$" / "%" / "&" / "'" / "*" / "+" / "-" / "." / +# "^" / "_" / "`" / "|" / "~" / DIGIT / ALPHA +# token = 1*tchar +_TCHAR_SPECIALS: Final[str] = re.escape("!#$%&'*+-.^_`|~") +TOKENRE: Final[Pattern[str]] = re.compile(f"[0-9A-Za-z{_TCHAR_SPECIALS}]+") +VERSRE: Final[Pattern[str]] = re.compile(r"HTTP/(\d)\.(\d)", re.ASCII) +DIGITS: Final[Pattern[str]] = re.compile(r"\d+", re.ASCII) +HEXDIGITS: Final[Pattern[bytes]] = re.compile(rb"[0-9a-fA-F]+") + + +class RawRequestMessage(NamedTuple): + method: str + path: str + version: HttpVersion + headers: "CIMultiDictProxy[str]" + raw_headers: RawHeaders + should_close: bool + compression: Optional[str] + upgrade: bool + chunked: bool + url: URL + + +class RawResponseMessage(NamedTuple): + version: HttpVersion + code: int + reason: str + headers: CIMultiDictProxy[str] + raw_headers: RawHeaders + should_close: bool + compression: Optional[str] + upgrade: bool + chunked: bool + + +_MsgT = TypeVar("_MsgT", RawRequestMessage, RawResponseMessage) + + +class ParseState(IntEnum): + + PARSE_NONE = 0 + PARSE_LENGTH = 1 + PARSE_CHUNKED = 2 + PARSE_UNTIL_EOF = 3 + + +class ChunkState(IntEnum): + PARSE_CHUNKED_SIZE = 0 + PARSE_CHUNKED_CHUNK = 1 + PARSE_CHUNKED_CHUNK_EOF = 2 + PARSE_MAYBE_TRAILERS = 3 + PARSE_TRAILERS = 4 + + +class HeadersParser: + def __init__( + self, + max_line_size: int = 8190, + max_headers: int = 32768, + max_field_size: int = 8190, + lax: bool = False, + ) -> None: + self.max_line_size = max_line_size + self.max_headers = max_headers + self.max_field_size = max_field_size + self._lax = lax + + def parse_headers( + self, lines: List[bytes] + ) -> Tuple["CIMultiDictProxy[str]", RawHeaders]: + headers: CIMultiDict[str] = CIMultiDict() + # note: "raw" does not mean inclusion of OWS before/after the field value + raw_headers = [] + + lines_idx = 0 + line = lines[lines_idx] + line_count = len(lines) + + while line: + # Parse initial header name : value pair. + try: + bname, bvalue = line.split(b":", 1) + except ValueError: + raise InvalidHeader(line) from None + + if len(bname) == 0: + raise InvalidHeader(bname) + + # https://www.rfc-editor.org/rfc/rfc9112.html#section-5.1-2 + if {bname[0], bname[-1]} & {32, 9}: # {" ", "\t"} + raise InvalidHeader(line) + + bvalue = bvalue.lstrip(b" \t") + if len(bname) > self.max_field_size: + raise LineTooLong( + "request header name {}".format( + bname.decode("utf8", "backslashreplace") + ), + str(self.max_field_size), + str(len(bname)), + ) + name = bname.decode("utf-8", "surrogateescape") + if not TOKENRE.fullmatch(name): + raise InvalidHeader(bname) + + header_length = len(bvalue) + + # next line + lines_idx += 1 + line = lines[lines_idx] + + # consume continuation lines + continuation = self._lax and line and line[0] in (32, 9) # (' ', '\t') + + # Deprecated: https://www.rfc-editor.org/rfc/rfc9112.html#name-obsolete-line-folding + if continuation: + bvalue_lst = [bvalue] + while continuation: + header_length += len(line) + if header_length > self.max_field_size: + raise LineTooLong( + "request header field {}".format( + bname.decode("utf8", "backslashreplace") + ), + str(self.max_field_size), + str(header_length), + ) + bvalue_lst.append(line) + + # next line + lines_idx += 1 + if lines_idx < line_count: + line = lines[lines_idx] + if line: + continuation = line[0] in (32, 9) # (' ', '\t') + else: + line = b"" + break + bvalue = b"".join(bvalue_lst) + else: + if header_length > self.max_field_size: + raise LineTooLong( + "request header field {}".format( + bname.decode("utf8", "backslashreplace") + ), + str(self.max_field_size), + str(header_length), + ) + + bvalue = bvalue.strip(b" \t") + value = bvalue.decode("utf-8", "surrogateescape") + + # https://www.rfc-editor.org/rfc/rfc9110.html#section-5.5-5 + if "\n" in value or "\r" in value or "\x00" in value: + raise InvalidHeader(bvalue) + + headers.add(name, value) + raw_headers.append((bname, bvalue)) + + return (CIMultiDictProxy(headers), tuple(raw_headers)) + + +def _is_supported_upgrade(headers: CIMultiDictProxy[str]) -> bool: + """Check if the upgrade header is supported.""" + u = headers.get(hdrs.UPGRADE, "") + # .lower() can transform non-ascii characters. + return u.isascii() and u.lower() in {"tcp", "websocket"} + + +class HttpParser(abc.ABC, Generic[_MsgT]): + lax: ClassVar[bool] = False + + def __init__( + self, + protocol: Optional[BaseProtocol] = None, + loop: Optional[asyncio.AbstractEventLoop] = None, + limit: int = 2**16, + max_line_size: int = 8190, + max_headers: int = 32768, + max_field_size: int = 8190, + timer: Optional[BaseTimerContext] = None, + code: Optional[int] = None, + method: Optional[str] = None, + payload_exception: Optional[Type[BaseException]] = None, + response_with_body: bool = True, + read_until_eof: bool = False, + auto_decompress: bool = True, + ) -> None: + self.protocol = protocol + self.loop = loop + self.max_line_size = max_line_size + self.max_headers = max_headers + self.max_field_size = max_field_size + self.timer = timer + self.code = code + self.method = method + self.payload_exception = payload_exception + self.response_with_body = response_with_body + self.read_until_eof = read_until_eof + + self._lines: List[bytes] = [] + self._tail = b"" + self._upgraded = False + self._payload = None + self._payload_parser: Optional[HttpPayloadParser] = None + self._auto_decompress = auto_decompress + self._limit = limit + self._headers_parser = HeadersParser( + max_line_size, max_headers, max_field_size, self.lax + ) + + @abc.abstractmethod + def parse_message(self, lines: List[bytes]) -> _MsgT: ... + + @abc.abstractmethod + def _is_chunked_te(self, te: str) -> bool: ... + + def feed_eof(self) -> Optional[_MsgT]: + if self._payload_parser is not None: + self._payload_parser.feed_eof() + self._payload_parser = None + else: + # try to extract partial message + if self._tail: + self._lines.append(self._tail) + + if self._lines: + if self._lines[-1] != "\r\n": + self._lines.append(b"") + with suppress(Exception): + return self.parse_message(self._lines) + return None + + def feed_data( + self, + data: bytes, + SEP: _SEP = b"\r\n", + EMPTY: bytes = b"", + CONTENT_LENGTH: istr = hdrs.CONTENT_LENGTH, + METH_CONNECT: str = hdrs.METH_CONNECT, + SEC_WEBSOCKET_KEY1: istr = hdrs.SEC_WEBSOCKET_KEY1, + ) -> Tuple[List[Tuple[_MsgT, StreamReader]], bool, bytes]: + + messages = [] + + if self._tail: + data, self._tail = self._tail + data, b"" + + data_len = len(data) + start_pos = 0 + loop = self.loop + + should_close = False + while start_pos < data_len: + + # read HTTP message (request/response line + headers), \r\n\r\n + # and split by lines + if self._payload_parser is None and not self._upgraded: + pos = data.find(SEP, start_pos) + # consume \r\n + if pos == start_pos and not self._lines: + start_pos = pos + len(SEP) + continue + + if pos >= start_pos: + if should_close: + raise BadHttpMessage("Data after `Connection: close`") + + # line found + line = data[start_pos:pos] + if SEP == b"\n": # For lax response parsing + line = line.rstrip(b"\r") + self._lines.append(line) + start_pos = pos + len(SEP) + + # \r\n\r\n found + if self._lines[-1] == EMPTY: + try: + msg: _MsgT = self.parse_message(self._lines) + finally: + self._lines.clear() + + def get_content_length() -> Optional[int]: + # payload length + length_hdr = msg.headers.get(CONTENT_LENGTH) + if length_hdr is None: + return None + + # Shouldn't allow +/- or other number formats. + # https://www.rfc-editor.org/rfc/rfc9110#section-8.6-2 + # msg.headers is already stripped of leading/trailing wsp + if not DIGITS.fullmatch(length_hdr): + raise InvalidHeader(CONTENT_LENGTH) + + return int(length_hdr) + + length = get_content_length() + # do not support old websocket spec + if SEC_WEBSOCKET_KEY1 in msg.headers: + raise InvalidHeader(SEC_WEBSOCKET_KEY1) + + self._upgraded = msg.upgrade and _is_supported_upgrade( + msg.headers + ) + + method = getattr(msg, "method", self.method) + # code is only present on responses + code = getattr(msg, "code", 0) + + assert self.protocol is not None + # calculate payload + empty_body = code in EMPTY_BODY_STATUS_CODES or bool( + method and method in EMPTY_BODY_METHODS + ) + if not empty_body and ( + ((length is not None and length > 0) or msg.chunked) + and not self._upgraded + ): + payload = StreamReader( + self.protocol, + timer=self.timer, + loop=loop, + limit=self._limit, + ) + payload_parser = HttpPayloadParser( + payload, + length=length, + chunked=msg.chunked, + method=method, + compression=msg.compression, + code=self.code, + response_with_body=self.response_with_body, + auto_decompress=self._auto_decompress, + lax=self.lax, + headers_parser=self._headers_parser, + ) + if not payload_parser.done: + self._payload_parser = payload_parser + elif method == METH_CONNECT: + assert isinstance(msg, RawRequestMessage) + payload = StreamReader( + self.protocol, + timer=self.timer, + loop=loop, + limit=self._limit, + ) + self._upgraded = True + self._payload_parser = HttpPayloadParser( + payload, + method=msg.method, + compression=msg.compression, + auto_decompress=self._auto_decompress, + lax=self.lax, + headers_parser=self._headers_parser, + ) + elif not empty_body and length is None and self.read_until_eof: + payload = StreamReader( + self.protocol, + timer=self.timer, + loop=loop, + limit=self._limit, + ) + payload_parser = HttpPayloadParser( + payload, + length=length, + chunked=msg.chunked, + method=method, + compression=msg.compression, + code=self.code, + response_with_body=self.response_with_body, + auto_decompress=self._auto_decompress, + lax=self.lax, + headers_parser=self._headers_parser, + ) + if not payload_parser.done: + self._payload_parser = payload_parser + else: + payload = EMPTY_PAYLOAD + + messages.append((msg, payload)) + should_close = msg.should_close + else: + self._tail = data[start_pos:] + data = EMPTY + break + + # no parser, just store + elif self._payload_parser is None and self._upgraded: + assert not self._lines + break + + # feed payload + elif data and start_pos < data_len: + assert not self._lines + assert self._payload_parser is not None + try: + eof, data = self._payload_parser.feed_data(data[start_pos:], SEP) + except BaseException as underlying_exc: + reraised_exc = underlying_exc + if self.payload_exception is not None: + reraised_exc = self.payload_exception(str(underlying_exc)) + + set_exception( + self._payload_parser.payload, + reraised_exc, + underlying_exc, + ) + + eof = True + data = b"" + if isinstance( + underlying_exc, (InvalidHeader, TransferEncodingError) + ): + raise + + if eof: + start_pos = 0 + data_len = len(data) + self._payload_parser = None + continue + else: + break + + if data and start_pos < data_len: + data = data[start_pos:] + else: + data = EMPTY + + return messages, self._upgraded, data + + def parse_headers( + self, lines: List[bytes] + ) -> Tuple[ + "CIMultiDictProxy[str]", RawHeaders, Optional[bool], Optional[str], bool, bool + ]: + """Parses RFC 5322 headers from a stream. + + Line continuations are supported. Returns list of header name + and value pairs. Header name is in upper case. + """ + headers, raw_headers = self._headers_parser.parse_headers(lines) + close_conn = None + encoding = None + upgrade = False + chunked = False + + # https://www.rfc-editor.org/rfc/rfc9110.html#section-5.5-6 + # https://www.rfc-editor.org/rfc/rfc9110.html#name-collected-abnf + singletons = ( + hdrs.CONTENT_LENGTH, + hdrs.CONTENT_LOCATION, + hdrs.CONTENT_RANGE, + hdrs.CONTENT_TYPE, + hdrs.ETAG, + hdrs.HOST, + hdrs.MAX_FORWARDS, + hdrs.SERVER, + hdrs.TRANSFER_ENCODING, + hdrs.USER_AGENT, + ) + bad_hdr = next((h for h in singletons if len(headers.getall(h, ())) > 1), None) + if bad_hdr is not None: + raise BadHttpMessage(f"Duplicate '{bad_hdr}' header found.") + + # keep-alive + conn = headers.get(hdrs.CONNECTION) + if conn: + v = conn.lower() + if v == "close": + close_conn = True + elif v == "keep-alive": + close_conn = False + # https://www.rfc-editor.org/rfc/rfc9110.html#name-101-switching-protocols + elif v == "upgrade" and headers.get(hdrs.UPGRADE): + upgrade = True + + # encoding + enc = headers.get(hdrs.CONTENT_ENCODING, "") + if enc.isascii() and enc.lower() in {"gzip", "deflate", "br", "zstd"}: + encoding = enc + + # chunking + te = headers.get(hdrs.TRANSFER_ENCODING) + if te is not None: + if self._is_chunked_te(te): + chunked = True + + if hdrs.CONTENT_LENGTH in headers: + raise BadHttpMessage( + "Transfer-Encoding can't be present with Content-Length", + ) + + return (headers, raw_headers, close_conn, encoding, upgrade, chunked) + + def set_upgraded(self, val: bool) -> None: + """Set connection upgraded (to websocket) mode. + + :param bool val: new state. + """ + self._upgraded = val + + +class HttpRequestParser(HttpParser[RawRequestMessage]): + """Read request status line. + + Exception .http_exceptions.BadStatusLine + could be raised in case of any errors in status line. + Returns RawRequestMessage. + """ + + def parse_message(self, lines: List[bytes]) -> RawRequestMessage: + # request line + line = lines[0].decode("utf-8", "surrogateescape") + try: + method, path, version = line.split(" ", maxsplit=2) + except ValueError: + raise BadHttpMethod(line) from None + + if len(path) > self.max_line_size: + raise LineTooLong( + "Status line is too long", str(self.max_line_size), str(len(path)) + ) + + # method + if not TOKENRE.fullmatch(method): + raise BadHttpMethod(method) + + # version + match = VERSRE.fullmatch(version) + if match is None: + raise BadStatusLine(line) + version_o = HttpVersion(int(match.group(1)), int(match.group(2))) + + if method == "CONNECT": + # authority-form, + # https://datatracker.ietf.org/doc/html/rfc7230#section-5.3.3 + url = URL.build(authority=path, encoded=True) + elif path.startswith("/"): + # origin-form, + # https://datatracker.ietf.org/doc/html/rfc7230#section-5.3.1 + path_part, _hash_separator, url_fragment = path.partition("#") + path_part, _question_mark_separator, qs_part = path_part.partition("?") + + # NOTE: `yarl.URL.build()` is used to mimic what the Cython-based + # NOTE: parser does, otherwise it results into the same + # NOTE: HTTP Request-Line input producing different + # NOTE: `yarl.URL()` objects + url = URL.build( + path=path_part, + query_string=qs_part, + fragment=url_fragment, + encoded=True, + ) + elif path == "*" and method == "OPTIONS": + # asterisk-form, + url = URL(path, encoded=True) + else: + # absolute-form for proxy maybe, + # https://datatracker.ietf.org/doc/html/rfc7230#section-5.3.2 + url = URL(path, encoded=True) + if url.scheme == "": + # not absolute-form + raise InvalidURLError( + path.encode(errors="surrogateescape").decode("latin1") + ) + + # read headers + ( + headers, + raw_headers, + close, + compression, + upgrade, + chunked, + ) = self.parse_headers(lines[1:]) + + if close is None: # then the headers weren't set in the request + if version_o <= HttpVersion10: # HTTP 1.0 must asks to not close + close = True + else: # HTTP 1.1 must ask to close. + close = False + + return RawRequestMessage( + method, + path, + version_o, + headers, + raw_headers, + close, + compression, + upgrade, + chunked, + url, + ) + + def _is_chunked_te(self, te: str) -> bool: + te = te.rsplit(",", maxsplit=1)[-1].strip(" \t") + # .lower() transforms some non-ascii chars, so must check first. + if te.isascii() and te.lower() == "chunked": + return True + # https://www.rfc-editor.org/rfc/rfc9112#section-6.3-2.4.3 + raise BadHttpMessage("Request has invalid `Transfer-Encoding`") + + +class HttpResponseParser(HttpParser[RawResponseMessage]): + """Read response status line and headers. + + BadStatusLine could be raised in case of any errors in status line. + Returns RawResponseMessage. + """ + + # Lax mode should only be enabled on response parser. + lax = not DEBUG + + def feed_data( + self, + data: bytes, + SEP: Optional[_SEP] = None, + *args: Any, + **kwargs: Any, + ) -> Tuple[List[Tuple[RawResponseMessage, StreamReader]], bool, bytes]: + if SEP is None: + SEP = b"\r\n" if DEBUG else b"\n" + return super().feed_data(data, SEP, *args, **kwargs) + + def parse_message(self, lines: List[bytes]) -> RawResponseMessage: + line = lines[0].decode("utf-8", "surrogateescape") + try: + version, status = line.split(maxsplit=1) + except ValueError: + raise BadStatusLine(line) from None + + try: + status, reason = status.split(maxsplit=1) + except ValueError: + status = status.strip() + reason = "" + + if len(reason) > self.max_line_size: + raise LineTooLong( + "Status line is too long", str(self.max_line_size), str(len(reason)) + ) + + # version + match = VERSRE.fullmatch(version) + if match is None: + raise BadStatusLine(line) + version_o = HttpVersion(int(match.group(1)), int(match.group(2))) + + # The status code is a three-digit ASCII number, no padding + if len(status) != 3 or not DIGITS.fullmatch(status): + raise BadStatusLine(line) + status_i = int(status) + + # read headers + ( + headers, + raw_headers, + close, + compression, + upgrade, + chunked, + ) = self.parse_headers(lines[1:]) + + if close is None: + if version_o <= HttpVersion10: + close = True + # https://www.rfc-editor.org/rfc/rfc9112.html#name-message-body-length + elif 100 <= status_i < 200 or status_i in {204, 304}: + close = False + elif hdrs.CONTENT_LENGTH in headers or hdrs.TRANSFER_ENCODING in headers: + close = False + else: + # https://www.rfc-editor.org/rfc/rfc9112.html#section-6.3-2.8 + close = True + + return RawResponseMessage( + version_o, + status_i, + reason.strip(), + headers, + raw_headers, + close, + compression, + upgrade, + chunked, + ) + + def _is_chunked_te(self, te: str) -> bool: + # https://www.rfc-editor.org/rfc/rfc9112#section-6.3-2.4.2 + return te.rsplit(",", maxsplit=1)[-1].strip(" \t").lower() == "chunked" + + +class HttpPayloadParser: + def __init__( + self, + payload: StreamReader, + length: Optional[int] = None, + chunked: bool = False, + compression: Optional[str] = None, + code: Optional[int] = None, + method: Optional[str] = None, + response_with_body: bool = True, + auto_decompress: bool = True, + lax: bool = False, + *, + headers_parser: HeadersParser, + ) -> None: + self._length = 0 + self._type = ParseState.PARSE_UNTIL_EOF + self._chunk = ChunkState.PARSE_CHUNKED_SIZE + self._chunk_size = 0 + self._chunk_tail = b"" + self._auto_decompress = auto_decompress + self._lax = lax + self._headers_parser = headers_parser + self._trailer_lines: list[bytes] = [] + self.done = False + + # payload decompression wrapper + if response_with_body and compression and self._auto_decompress: + real_payload: Union[StreamReader, DeflateBuffer] = DeflateBuffer( + payload, compression + ) + else: + real_payload = payload + + # payload parser + if not response_with_body: + # don't parse payload if it's not expected to be received + self._type = ParseState.PARSE_NONE + real_payload.feed_eof() + self.done = True + elif chunked: + self._type = ParseState.PARSE_CHUNKED + elif length is not None: + self._type = ParseState.PARSE_LENGTH + self._length = length + if self._length == 0: + real_payload.feed_eof() + self.done = True + + self.payload = real_payload + + def feed_eof(self) -> None: + if self._type == ParseState.PARSE_UNTIL_EOF: + self.payload.feed_eof() + elif self._type == ParseState.PARSE_LENGTH: + raise ContentLengthError( + "Not enough data to satisfy content length header." + ) + elif self._type == ParseState.PARSE_CHUNKED: + raise TransferEncodingError( + "Not enough data to satisfy transfer length header." + ) + + def feed_data( + self, chunk: bytes, SEP: _SEP = b"\r\n", CHUNK_EXT: bytes = b";" + ) -> Tuple[bool, bytes]: + # Read specified amount of bytes + if self._type == ParseState.PARSE_LENGTH: + required = self._length + chunk_len = len(chunk) + + if required >= chunk_len: + self._length = required - chunk_len + self.payload.feed_data(chunk, chunk_len) + if self._length == 0: + self.payload.feed_eof() + return True, b"" + else: + self._length = 0 + self.payload.feed_data(chunk[:required], required) + self.payload.feed_eof() + return True, chunk[required:] + + # Chunked transfer encoding parser + elif self._type == ParseState.PARSE_CHUNKED: + if self._chunk_tail: + chunk = self._chunk_tail + chunk + self._chunk_tail = b"" + + while chunk: + + # read next chunk size + if self._chunk == ChunkState.PARSE_CHUNKED_SIZE: + pos = chunk.find(SEP) + if pos >= 0: + i = chunk.find(CHUNK_EXT, 0, pos) + if i >= 0: + size_b = chunk[:i] # strip chunk-extensions + # Verify no LF in the chunk-extension + if b"\n" in (ext := chunk[i:pos]): + exc = TransferEncodingError( + f"Unexpected LF in chunk-extension: {ext!r}" + ) + set_exception(self.payload, exc) + raise exc + else: + size_b = chunk[:pos] + + if self._lax: # Allow whitespace in lax mode. + size_b = size_b.strip() + + if not re.fullmatch(HEXDIGITS, size_b): + exc = TransferEncodingError( + chunk[:pos].decode("ascii", "surrogateescape") + ) + set_exception(self.payload, exc) + raise exc + size = int(bytes(size_b), 16) + + chunk = chunk[pos + len(SEP) :] + if size == 0: # eof marker + self._chunk = ChunkState.PARSE_TRAILERS + if self._lax and chunk.startswith(b"\r"): + chunk = chunk[1:] + else: + self._chunk = ChunkState.PARSE_CHUNKED_CHUNK + self._chunk_size = size + self.payload.begin_http_chunk_receiving() + else: + self._chunk_tail = chunk + return False, b"" + + # read chunk and feed buffer + if self._chunk == ChunkState.PARSE_CHUNKED_CHUNK: + required = self._chunk_size + chunk_len = len(chunk) + + if required > chunk_len: + self._chunk_size = required - chunk_len + self.payload.feed_data(chunk, chunk_len) + return False, b"" + else: + self._chunk_size = 0 + self.payload.feed_data(chunk[:required], required) + chunk = chunk[required:] + self._chunk = ChunkState.PARSE_CHUNKED_CHUNK_EOF + self.payload.end_http_chunk_receiving() + + # toss the CRLF at the end of the chunk + if self._chunk == ChunkState.PARSE_CHUNKED_CHUNK_EOF: + if self._lax and chunk.startswith(b"\r"): + chunk = chunk[1:] + if chunk[: len(SEP)] == SEP: + chunk = chunk[len(SEP) :] + self._chunk = ChunkState.PARSE_CHUNKED_SIZE + else: + self._chunk_tail = chunk + return False, b"" + + if self._chunk == ChunkState.PARSE_TRAILERS: + pos = chunk.find(SEP) + if pos < 0: # No line found + self._chunk_tail = chunk + return False, b"" + + line = chunk[:pos] + chunk = chunk[pos + len(SEP) :] + if SEP == b"\n": # For lax response parsing + line = line.rstrip(b"\r") + self._trailer_lines.append(line) + + # \r\n\r\n found, end of stream + if self._trailer_lines[-1] == b"": + # Headers and trailers are defined the same way, + # so we reuse the HeadersParser here. + try: + trailers, raw_trailers = self._headers_parser.parse_headers( + self._trailer_lines + ) + finally: + self._trailer_lines.clear() + self.payload.feed_eof() + return True, chunk + + # Read all bytes until eof + elif self._type == ParseState.PARSE_UNTIL_EOF: + self.payload.feed_data(chunk, len(chunk)) + + return False, b"" + + +class DeflateBuffer: + """DeflateStream decompress stream and feed data into specified stream.""" + + decompressor: Any + + def __init__( + self, + out: StreamReader, + encoding: Optional[str], + max_decompress_size: int = DEFAULT_MAX_DECOMPRESS_SIZE, + ) -> None: + self.out = out + self.size = 0 + out.total_compressed_bytes = self.size + self.encoding = encoding + self._started_decoding = False + + self.decompressor: Union[BrotliDecompressor, ZLibDecompressor, ZSTDDecompressor] + if encoding == "br": + if not HAS_BROTLI: # pragma: no cover + raise ContentEncodingError( + "Can not decode content-encoding: brotli (br). " + "Please install `Brotli`" + ) + self.decompressor = BrotliDecompressor() + elif encoding == "zstd": + if not HAS_ZSTD: + raise ContentEncodingError( + "Can not decode content-encoding: zstandard (zstd). " + "Please install `backports.zstd`" + ) + self.decompressor = ZSTDDecompressor() + else: + self.decompressor = ZLibDecompressor(encoding=encoding) + + self._max_decompress_size = max_decompress_size + + def set_exception( + self, + exc: BaseException, + exc_cause: BaseException = _EXC_SENTINEL, + ) -> None: + set_exception(self.out, exc, exc_cause) + + def feed_data(self, chunk: bytes, size: int) -> None: + if not size: + return + + self.size += size + self.out.total_compressed_bytes = self.size + + # RFC1950 + # bits 0..3 = CM = 0b1000 = 8 = "deflate" + # bits 4..7 = CINFO = 1..7 = windows size. + if ( + not self._started_decoding + and self.encoding == "deflate" + and chunk[0] & 0xF != 8 + ): + # Change the decoder to decompress incorrectly compressed data + # Actually we should issue a warning about non-RFC-compliant data. + self.decompressor = ZLibDecompressor( + encoding=self.encoding, suppress_deflate_header=True + ) + + try: + # Decompress with limit + 1 so we can detect if output exceeds limit + chunk = self.decompressor.decompress_sync( + chunk, max_length=self._max_decompress_size + 1 + ) + except Exception: + raise ContentEncodingError( + "Can not decode content-encoding: %s" % self.encoding + ) + + self._started_decoding = True + + # Check if decompression limit was exceeded + if len(chunk) > self._max_decompress_size: + raise DecompressSizeError( + "Decompressed data exceeds the configured limit of %d bytes" + % self._max_decompress_size + ) + + if chunk: + self.out.feed_data(chunk, len(chunk)) + + def feed_eof(self) -> None: + chunk = self.decompressor.flush() + + if chunk or self.size > 0: + self.out.feed_data(chunk, len(chunk)) + if self.encoding == "deflate" and not self.decompressor.eof: + raise ContentEncodingError("deflate") + + self.out.feed_eof() + + def begin_http_chunk_receiving(self) -> None: + self.out.begin_http_chunk_receiving() + + def end_http_chunk_receiving(self) -> None: + self.out.end_http_chunk_receiving() + + +HttpRequestParserPy = HttpRequestParser +HttpResponseParserPy = HttpResponseParser +RawRequestMessagePy = RawRequestMessage +RawResponseMessagePy = RawResponseMessage + +try: + if not NO_EXTENSIONS: + from ._http_parser import ( # type: ignore[import-not-found,no-redef] + HttpRequestParser, + HttpResponseParser, + RawRequestMessage, + RawResponseMessage, + ) + + HttpRequestParserC = HttpRequestParser + HttpResponseParserC = HttpResponseParser + RawRequestMessageC = RawRequestMessage + RawResponseMessageC = RawResponseMessage +except ImportError: # pragma: no cover + pass diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_websocket.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_websocket.py new file mode 100644 index 0000000000000000000000000000000000000000..6b4b30e02b247e30e0c84d3eb118b749bbe52079 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_websocket.py @@ -0,0 +1,36 @@ +"""WebSocket protocol versions 13 and 8.""" + +from ._websocket.helpers import WS_KEY, ws_ext_gen, ws_ext_parse +from ._websocket.models import ( + WS_CLOSED_MESSAGE, + WS_CLOSING_MESSAGE, + WebSocketError, + WSCloseCode, + WSHandshakeError, + WSMessage, + WSMsgType, +) +from ._websocket.reader import WebSocketReader +from ._websocket.writer import WebSocketWriter + +# Messages that the WebSocketResponse.receive needs to handle internally +_INTERNAL_RECEIVE_TYPES = frozenset( + (WSMsgType.CLOSE, WSMsgType.CLOSING, WSMsgType.PING, WSMsgType.PONG) +) + + +__all__ = ( + "WS_CLOSED_MESSAGE", + "WS_CLOSING_MESSAGE", + "WS_KEY", + "WebSocketReader", + "WebSocketWriter", + "WSMessage", + "WebSocketError", + "WSMsgType", + "WSCloseCode", + "ws_ext_gen", + "ws_ext_parse", + "WSHandshakeError", + "WSMessage", +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_writer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_writer.py new file mode 100644 index 0000000000000000000000000000000000000000..a140b218b25fedccb49451c547d4d01326367cfb --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/http_writer.py @@ -0,0 +1,378 @@ +"""Http related parsers and protocol.""" + +import asyncio +import sys +from typing import ( # noqa + TYPE_CHECKING, + Any, + Awaitable, + Callable, + Iterable, + List, + NamedTuple, + Optional, + Union, +) + +from multidict import CIMultiDict + +from .abc import AbstractStreamWriter +from .base_protocol import BaseProtocol +from .client_exceptions import ClientConnectionResetError +from .compression_utils import ZLibCompressor +from .helpers import NO_EXTENSIONS + +__all__ = ("StreamWriter", "HttpVersion", "HttpVersion10", "HttpVersion11") + + +MIN_PAYLOAD_FOR_WRITELINES = 2048 +IS_PY313_BEFORE_313_2 = (3, 13, 0) <= sys.version_info < (3, 13, 2) +IS_PY_BEFORE_312_9 = sys.version_info < (3, 12, 9) +SKIP_WRITELINES = IS_PY313_BEFORE_313_2 or IS_PY_BEFORE_312_9 +# writelines is not safe for use +# on Python 3.12+ until 3.12.9 +# on Python 3.13+ until 3.13.2 +# and on older versions it not any faster than write +# CVE-2024-12254: https://github.com/python/cpython/pull/127656 + + +class HttpVersion(NamedTuple): + major: int + minor: int + + +HttpVersion10 = HttpVersion(1, 0) +HttpVersion11 = HttpVersion(1, 1) + + +_T_OnChunkSent = Optional[Callable[[bytes], Awaitable[None]]] +_T_OnHeadersSent = Optional[Callable[["CIMultiDict[str]"], Awaitable[None]]] + + +class StreamWriter(AbstractStreamWriter): + + length: Optional[int] = None + chunked: bool = False + _eof: bool = False + _compress: Optional[ZLibCompressor] = None + + def __init__( + self, + protocol: BaseProtocol, + loop: asyncio.AbstractEventLoop, + on_chunk_sent: _T_OnChunkSent = None, + on_headers_sent: _T_OnHeadersSent = None, + ) -> None: + self._protocol = protocol + self.loop = loop + self._on_chunk_sent: _T_OnChunkSent = on_chunk_sent + self._on_headers_sent: _T_OnHeadersSent = on_headers_sent + self._headers_buf: Optional[bytes] = None + self._headers_written: bool = False + + @property + def transport(self) -> Optional[asyncio.Transport]: + return self._protocol.transport + + @property + def protocol(self) -> BaseProtocol: + return self._protocol + + def enable_chunking(self) -> None: + self.chunked = True + + def enable_compression( + self, encoding: str = "deflate", strategy: Optional[int] = None + ) -> None: + self._compress = ZLibCompressor(encoding=encoding, strategy=strategy) + + def _write(self, chunk: Union[bytes, bytearray, memoryview]) -> None: + size = len(chunk) + self.buffer_size += size + self.output_size += size + transport = self._protocol.transport + if transport is None or transport.is_closing(): + raise ClientConnectionResetError("Cannot write to closing transport") + transport.write(chunk) + + def _writelines(self, chunks: Iterable[bytes]) -> None: + size = 0 + for chunk in chunks: + size += len(chunk) + self.buffer_size += size + self.output_size += size + transport = self._protocol.transport + if transport is None or transport.is_closing(): + raise ClientConnectionResetError("Cannot write to closing transport") + if SKIP_WRITELINES or size < MIN_PAYLOAD_FOR_WRITELINES: + transport.write(b"".join(chunks)) + else: + transport.writelines(chunks) + + def _write_chunked_payload( + self, chunk: Union[bytes, bytearray, "memoryview[int]", "memoryview[bytes]"] + ) -> None: + """Write a chunk with proper chunked encoding.""" + chunk_len_pre = f"{len(chunk):x}\r\n".encode("ascii") + self._writelines((chunk_len_pre, chunk, b"\r\n")) + + def _send_headers_with_payload( + self, + chunk: Union[bytes, bytearray, "memoryview[int]", "memoryview[bytes]"], + is_eof: bool, + ) -> None: + """Send buffered headers with payload, coalescing into single write.""" + # Mark headers as written + self._headers_written = True + headers_buf = self._headers_buf + self._headers_buf = None + + if TYPE_CHECKING: + # Safe because callers (write() and write_eof()) only invoke this method + # after checking that self._headers_buf is truthy + assert headers_buf is not None + + if not self.chunked: + # Non-chunked: coalesce headers with body + if chunk: + self._writelines((headers_buf, chunk)) + else: + self._write(headers_buf) + return + + # Coalesce headers with chunked data + if chunk: + chunk_len_pre = f"{len(chunk):x}\r\n".encode("ascii") + if is_eof: + self._writelines((headers_buf, chunk_len_pre, chunk, b"\r\n0\r\n\r\n")) + else: + self._writelines((headers_buf, chunk_len_pre, chunk, b"\r\n")) + elif is_eof: + self._writelines((headers_buf, b"0\r\n\r\n")) + else: + self._write(headers_buf) + + async def write( + self, + chunk: Union[bytes, bytearray, memoryview], + *, + drain: bool = True, + LIMIT: int = 0x10000, + ) -> None: + """ + Writes chunk of data to a stream. + + write_eof() indicates end of stream. + writer can't be used after write_eof() method being called. + write() return drain future. + """ + if self._on_chunk_sent is not None: + await self._on_chunk_sent(chunk) + + if isinstance(chunk, memoryview): + if chunk.nbytes != len(chunk): + # just reshape it + chunk = chunk.cast("c") + + if self._compress is not None: + chunk = await self._compress.compress(chunk) + if not chunk: + return + + if self.length is not None: + chunk_len = len(chunk) + if self.length >= chunk_len: + self.length = self.length - chunk_len + else: + chunk = chunk[: self.length] + self.length = 0 + if not chunk: + return + + # Handle buffered headers for small payload optimization + if self._headers_buf and not self._headers_written: + self._send_headers_with_payload(chunk, False) + if drain and self.buffer_size > LIMIT: + self.buffer_size = 0 + await self.drain() + return + + if chunk: + if self.chunked: + self._write_chunked_payload(chunk) + else: + self._write(chunk) + + if drain and self.buffer_size > LIMIT: + self.buffer_size = 0 + await self.drain() + + async def write_headers( + self, status_line: str, headers: "CIMultiDict[str]" + ) -> None: + """Write headers to the stream.""" + if self._on_headers_sent is not None: + await self._on_headers_sent(headers) + # status + headers + buf = _serialize_headers(status_line, headers) + self._headers_written = False + self._headers_buf = buf + + def send_headers(self) -> None: + """Force sending buffered headers if not already sent.""" + if not self._headers_buf or self._headers_written: + return + + self._headers_written = True + headers_buf = self._headers_buf + self._headers_buf = None + + if TYPE_CHECKING: + # Safe because we only enter this block when self._headers_buf is truthy + assert headers_buf is not None + + self._write(headers_buf) + + def set_eof(self) -> None: + """Indicate that the message is complete.""" + if self._eof: + return + + # If headers haven't been sent yet, send them now + # This handles the case where there's no body at all + if self._headers_buf and not self._headers_written: + self._headers_written = True + headers_buf = self._headers_buf + self._headers_buf = None + + if TYPE_CHECKING: + # Safe because we only enter this block when self._headers_buf is truthy + assert headers_buf is not None + + # Combine headers and chunked EOF marker in a single write + if self.chunked: + self._writelines((headers_buf, b"0\r\n\r\n")) + else: + self._write(headers_buf) + elif self.chunked and self._headers_written: + # Headers already sent, just send the final chunk marker + self._write(b"0\r\n\r\n") + + self._eof = True + + async def write_eof(self, chunk: bytes = b"") -> None: + if self._eof: + return + + if chunk and self._on_chunk_sent is not None: + await self._on_chunk_sent(chunk) + + # Handle body/compression + if self._compress: + chunks: List[bytes] = [] + chunks_len = 0 + if chunk and (compressed_chunk := await self._compress.compress(chunk)): + chunks_len = len(compressed_chunk) + chunks.append(compressed_chunk) + + flush_chunk = self._compress.flush() + chunks_len += len(flush_chunk) + chunks.append(flush_chunk) + assert chunks_len + + # Send buffered headers with compressed data if not yet sent + if self._headers_buf and not self._headers_written: + self._headers_written = True + headers_buf = self._headers_buf + self._headers_buf = None + + if self.chunked: + # Coalesce headers with compressed chunked data + chunk_len_pre = f"{chunks_len:x}\r\n".encode("ascii") + self._writelines( + (headers_buf, chunk_len_pre, *chunks, b"\r\n0\r\n\r\n") + ) + else: + # Coalesce headers with compressed data + self._writelines((headers_buf, *chunks)) + await self.drain() + self._eof = True + return + + # Headers already sent, just write compressed data + if self.chunked: + chunk_len_pre = f"{chunks_len:x}\r\n".encode("ascii") + self._writelines((chunk_len_pre, *chunks, b"\r\n0\r\n\r\n")) + elif len(chunks) > 1: + self._writelines(chunks) + else: + self._write(chunks[0]) + await self.drain() + self._eof = True + return + + # No compression - send buffered headers if not yet sent + if self._headers_buf and not self._headers_written: + # Use helper to send headers with payload + self._send_headers_with_payload(chunk, True) + await self.drain() + self._eof = True + return + + # Handle remaining body + if self.chunked: + if chunk: + # Write final chunk with EOF marker + self._writelines( + (f"{len(chunk):x}\r\n".encode("ascii"), chunk, b"\r\n0\r\n\r\n") + ) + else: + self._write(b"0\r\n\r\n") + await self.drain() + self._eof = True + return + + if chunk: + self._write(chunk) + await self.drain() + + self._eof = True + + async def drain(self) -> None: + """Flush the write buffer. + + The intended use is to write + + await w.write(data) + await w.drain() + """ + protocol = self._protocol + if protocol.transport is not None and protocol._paused: + await protocol._drain_helper() + + +def _safe_header(string: str) -> str: + if "\r" in string or "\n" in string: + raise ValueError( + "Newline or carriage return detected in headers. " + "Potential header injection attack." + ) + return string + + +def _py_serialize_headers(status_line: str, headers: "CIMultiDict[str]") -> bytes: + headers_gen = (_safe_header(k) + ": " + _safe_header(v) for k, v in headers.items()) + line = status_line + "\r\n" + "\r\n".join(headers_gen) + "\r\n\r\n" + return line.encode("utf-8") + + +_serialize_headers = _py_serialize_headers + +try: + import aiohttp._http_writer as _http_writer # type: ignore[import-not-found] + + _c_serialize_headers = _http_writer._serialize_headers + if not NO_EXTENSIONS: + _serialize_headers = _c_serialize_headers +except ImportError: + pass diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/log.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/log.py new file mode 100644 index 0000000000000000000000000000000000000000..3cecea2bac185df741bccd0a32a5fef9cfe23299 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/log.py @@ -0,0 +1,8 @@ +import logging + +access_logger = logging.getLogger("aiohttp.access") +client_logger = logging.getLogger("aiohttp.client") +internal_logger = logging.getLogger("aiohttp.internal") +server_logger = logging.getLogger("aiohttp.server") +web_logger = logging.getLogger("aiohttp.web") +ws_logger = logging.getLogger("aiohttp.websocket") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/multipart.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/multipart.py new file mode 100644 index 0000000000000000000000000000000000000000..9c37f0bb71699d9001f4baf0fcd64bbeb94410ef --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/multipart.py @@ -0,0 +1,1152 @@ +import base64 +import binascii +import json +import re +import sys +import uuid +import warnings +from collections import deque +from collections.abc import Mapping, Sequence +from types import TracebackType +from typing import ( + TYPE_CHECKING, + Any, + Deque, + Dict, + Iterator, + List, + Optional, + Tuple, + Type, + Union, + cast, +) +from urllib.parse import parse_qsl, unquote, urlencode + +from multidict import CIMultiDict, CIMultiDictProxy + +from .abc import AbstractStreamWriter +from .compression_utils import ( + DEFAULT_MAX_DECOMPRESS_SIZE, + ZLibCompressor, + ZLibDecompressor, +) +from .hdrs import ( + CONTENT_DISPOSITION, + CONTENT_ENCODING, + CONTENT_LENGTH, + CONTENT_TRANSFER_ENCODING, + CONTENT_TYPE, +) +from .helpers import CHAR, TOKEN, parse_mimetype, reify +from .http import HeadersParser +from .log import internal_logger +from .payload import ( + JsonPayload, + LookupError, + Order, + Payload, + StringPayload, + get_payload, + payload_type, +) +from .streams import StreamReader + +if sys.version_info >= (3, 11): + from typing import Self +else: + from typing import TypeVar + + Self = TypeVar("Self", bound="BodyPartReader") + +__all__ = ( + "MultipartReader", + "MultipartWriter", + "BodyPartReader", + "BadContentDispositionHeader", + "BadContentDispositionParam", + "parse_content_disposition", + "content_disposition_filename", +) + + +if TYPE_CHECKING: + from .client_reqrep import ClientResponse + + +class BadContentDispositionHeader(RuntimeWarning): + pass + + +class BadContentDispositionParam(RuntimeWarning): + pass + + +def parse_content_disposition( + header: Optional[str], +) -> Tuple[Optional[str], Dict[str, str]]: + def is_token(string: str) -> bool: + return bool(string) and TOKEN >= set(string) + + def is_quoted(string: str) -> bool: + return string[0] == string[-1] == '"' + + def is_rfc5987(string: str) -> bool: + return is_token(string) and string.count("'") == 2 + + def is_extended_param(string: str) -> bool: + return string.endswith("*") + + def is_continuous_param(string: str) -> bool: + pos = string.find("*") + 1 + if not pos: + return False + substring = string[pos:-1] if string.endswith("*") else string[pos:] + return substring.isdigit() + + def unescape(text: str, *, chars: str = "".join(map(re.escape, CHAR))) -> str: + return re.sub(f"\\\\([{chars}])", "\\1", text) + + if not header: + return None, {} + + disptype, *parts = header.split(";") + if not is_token(disptype): + warnings.warn(BadContentDispositionHeader(header)) + return None, {} + + params: Dict[str, str] = {} + while parts: + item = parts.pop(0) + + if not item: # To handle trailing semicolons + warnings.warn(BadContentDispositionHeader(header)) + continue + + if "=" not in item: + warnings.warn(BadContentDispositionHeader(header)) + return None, {} + + key, value = item.split("=", 1) + key = key.lower().strip() + value = value.lstrip() + + if key in params: + warnings.warn(BadContentDispositionHeader(header)) + return None, {} + + if not is_token(key): + warnings.warn(BadContentDispositionParam(item)) + continue + + elif is_continuous_param(key): + if is_quoted(value): + value = unescape(value[1:-1]) + elif not is_token(value): + warnings.warn(BadContentDispositionParam(item)) + continue + + elif is_extended_param(key): + if is_rfc5987(value): + encoding, _, value = value.split("'", 2) + encoding = encoding or "utf-8" + else: + warnings.warn(BadContentDispositionParam(item)) + continue + + try: + value = unquote(value, encoding, "strict") + except UnicodeDecodeError: # pragma: nocover + warnings.warn(BadContentDispositionParam(item)) + continue + + else: + failed = True + if is_quoted(value): + failed = False + value = unescape(value[1:-1].lstrip("\\/")) + elif is_token(value): + failed = False + elif parts: + # maybe just ; in filename, in any case this is just + # one case fix, for proper fix we need to redesign parser + _value = f"{value};{parts[0]}" + if is_quoted(_value): + parts.pop(0) + value = unescape(_value[1:-1].lstrip("\\/")) + failed = False + + if failed: + warnings.warn(BadContentDispositionHeader(header)) + return None, {} + + params[key] = value + + return disptype.lower(), params + + +def content_disposition_filename( + params: Mapping[str, str], name: str = "filename" +) -> Optional[str]: + name_suf = "%s*" % name + if not params: + return None + elif name_suf in params: + return params[name_suf] + elif name in params: + return params[name] + else: + parts = [] + fnparams = sorted( + (key, value) for key, value in params.items() if key.startswith(name_suf) + ) + for num, (key, value) in enumerate(fnparams): + _, tail = key.split("*", 1) + if tail.endswith("*"): + tail = tail[:-1] + if tail == str(num): + parts.append(value) + else: + break + if not parts: + return None + value = "".join(parts) + if "'" in value: + encoding, _, value = value.split("'", 2) + encoding = encoding or "utf-8" + return unquote(value, encoding, "strict") + return value + + +class MultipartResponseWrapper: + """Wrapper around the MultipartReader. + + It takes care about + underlying connection and close it when it needs in. + """ + + def __init__( + self, + resp: "ClientResponse", + stream: "MultipartReader", + ) -> None: + self.resp = resp + self.stream = stream + + def __aiter__(self) -> "MultipartResponseWrapper": + return self + + async def __anext__( + self, + ) -> Union["MultipartReader", "BodyPartReader"]: + part = await self.next() + if part is None: + raise StopAsyncIteration + return part + + def at_eof(self) -> bool: + """Returns True when all response data had been read.""" + return self.resp.content.at_eof() + + async def next( + self, + ) -> Optional[Union["MultipartReader", "BodyPartReader"]]: + """Emits next multipart reader object.""" + item = await self.stream.next() + if self.stream.at_eof(): + await self.release() + return item + + async def release(self) -> None: + """Release the connection gracefully. + + All remaining content is read to the void. + """ + await self.resp.release() + + +class BodyPartReader: + """Multipart reader for single body part.""" + + chunk_size = 8192 + + def __init__( + self, + boundary: bytes, + headers: "CIMultiDictProxy[str]", + content: StreamReader, + *, + subtype: str = "mixed", + default_charset: Optional[str] = None, + max_decompress_size: int = DEFAULT_MAX_DECOMPRESS_SIZE, + ) -> None: + self.headers = headers + self._boundary = boundary + self._boundary_len = len(boundary) + 2 # Boundary + \r\n + self._content = content + self._default_charset = default_charset + self._at_eof = False + self._is_form_data = subtype == "form-data" + # https://datatracker.ietf.org/doc/html/rfc7578#section-4.8 + length = None if self._is_form_data else self.headers.get(CONTENT_LENGTH, None) + self._length = int(length) if length is not None else None + self._read_bytes = 0 + self._unread: Deque[bytes] = deque() + self._prev_chunk: Optional[bytes] = None + self._content_eof = 0 + self._cache: Dict[str, Any] = {} + self._max_decompress_size = max_decompress_size + + def __aiter__(self: Self) -> Self: + return self + + async def __anext__(self) -> bytes: + part = await self.next() + if part is None: + raise StopAsyncIteration + return part + + async def next(self) -> Optional[bytes]: + item = await self.read() + if not item: + return None + return item + + async def read(self, *, decode: bool = False) -> bytes: + """Reads body part data. + + decode: Decodes data following by encoding + method from Content-Encoding header. If it missed + data remains untouched + """ + if self._at_eof: + return b"" + data = bytearray() + while not self._at_eof: + data.extend(await self.read_chunk(self.chunk_size)) + if decode: + return await self.decode(data) + return data + + async def read_chunk(self, size: int = chunk_size) -> bytes: + """Reads body part content chunk of the specified size. + + size: chunk size + """ + if self._at_eof: + return b"" + if self._length: + chunk = await self._read_chunk_from_length(size) + else: + chunk = await self._read_chunk_from_stream(size) + + # For the case of base64 data, we must read a fragment of size with a + # remainder of 0 by dividing by 4 for string without symbols \n or \r + encoding = self.headers.get(CONTENT_TRANSFER_ENCODING) + if encoding and encoding.lower() == "base64": + stripped_chunk = b"".join(chunk.split()) + remainder = len(stripped_chunk) % 4 + + while remainder != 0 and not self.at_eof(): + over_chunk_size = 4 - remainder + over_chunk = b"" + + if self._prev_chunk: + over_chunk = self._prev_chunk[:over_chunk_size] + self._prev_chunk = self._prev_chunk[len(over_chunk) :] + + if len(over_chunk) != over_chunk_size: + over_chunk += await self._content.read(4 - len(over_chunk)) + + if not over_chunk: + self._at_eof = True + + stripped_chunk += b"".join(over_chunk.split()) + chunk += over_chunk + remainder = len(stripped_chunk) % 4 + + self._read_bytes += len(chunk) + if self._read_bytes == self._length: + self._at_eof = True + if self._at_eof and await self._content.readline() != b"\r\n": + raise ValueError("Reader did not read all the data or it is malformed") + return chunk + + async def _read_chunk_from_length(self, size: int) -> bytes: + # Reads body part content chunk of the specified size. + # The body part must has Content-Length header with proper value. + assert self._length is not None, "Content-Length required for chunked read" + chunk_size = min(size, self._length - self._read_bytes) + chunk = await self._content.read(chunk_size) + if self._content.at_eof(): + self._at_eof = True + return chunk + + async def _read_chunk_from_stream(self, size: int) -> bytes: + # Reads content chunk of body part with unknown length. + # The Content-Length header for body part is not necessary. + assert ( + size >= self._boundary_len + ), "Chunk size must be greater or equal than boundary length + 2" + first_chunk = self._prev_chunk is None + if first_chunk: + # We need to re-add the CRLF that got removed from headers parsing. + self._prev_chunk = b"\r\n" + await self._content.read(size) + + chunk = b"" + # content.read() may return less than size, so we need to loop to ensure + # we have enough data to detect the boundary. + while len(chunk) < self._boundary_len: + chunk += await self._content.read(size) + self._content_eof += int(self._content.at_eof()) + if self._content_eof > 2: + raise ValueError("Reading after EOF") + if self._content_eof: + break + if len(chunk) > size: + self._content.unread_data(chunk[size:]) + chunk = chunk[:size] + + assert self._prev_chunk is not None + window = self._prev_chunk + chunk + sub = b"\r\n" + self._boundary + if first_chunk: + idx = window.find(sub) + else: + idx = window.find(sub, max(0, len(self._prev_chunk) - len(sub))) + if idx >= 0: + # pushing boundary back to content + with warnings.catch_warnings(): + warnings.filterwarnings("ignore", category=DeprecationWarning) + self._content.unread_data(window[idx:]) + self._prev_chunk = self._prev_chunk[:idx] + chunk = window[len(self._prev_chunk) : idx] + if not chunk: + self._at_eof = True + result = self._prev_chunk[2 if first_chunk else 0 :] # Strip initial CRLF + self._prev_chunk = chunk + return result + + async def readline(self) -> bytes: + """Reads body part by line by line.""" + if self._at_eof: + return b"" + + if self._unread: + line = self._unread.popleft() + else: + line = await self._content.readline() + + if line.startswith(self._boundary): + # the very last boundary may not come with \r\n, + # so set single rules for everyone + sline = line.rstrip(b"\r\n") + boundary = self._boundary + last_boundary = self._boundary + b"--" + # ensure that we read exactly the boundary, not something alike + if sline == boundary or sline == last_boundary: + self._at_eof = True + self._unread.append(line) + return b"" + else: + next_line = await self._content.readline() + if next_line.startswith(self._boundary): + line = line[:-2] # strip CRLF but only once + self._unread.append(next_line) + + return line + + async def release(self) -> None: + """Like read(), but reads all the data to the void.""" + if self._at_eof: + return + while not self._at_eof: + await self.read_chunk(self.chunk_size) + + async def text(self, *, encoding: Optional[str] = None) -> str: + """Like read(), but assumes that body part contains text data.""" + data = await self.read(decode=True) + # see https://www.w3.org/TR/html5/forms.html#multipart/form-data-encoding-algorithm + # and https://dvcs.w3.org/hg/xhr/raw-file/tip/Overview.html#dom-xmlhttprequest-send + encoding = encoding or self.get_charset(default="utf-8") + return data.decode(encoding) + + async def json(self, *, encoding: Optional[str] = None) -> Optional[Dict[str, Any]]: + """Like read(), but assumes that body parts contains JSON data.""" + data = await self.read(decode=True) + if not data: + return None + encoding = encoding or self.get_charset(default="utf-8") + return cast(Dict[str, Any], json.loads(data.decode(encoding))) + + async def form(self, *, encoding: Optional[str] = None) -> List[Tuple[str, str]]: + """Like read(), but assumes that body parts contain form urlencoded data.""" + data = await self.read(decode=True) + if not data: + return [] + if encoding is not None: + real_encoding = encoding + else: + real_encoding = self.get_charset(default="utf-8") + try: + decoded_data = data.rstrip().decode(real_encoding) + except UnicodeDecodeError: + raise ValueError("data cannot be decoded with %s encoding" % real_encoding) + + return parse_qsl( + decoded_data, + keep_blank_values=True, + encoding=real_encoding, + ) + + def at_eof(self) -> bool: + """Returns True if the boundary was reached or False otherwise.""" + return self._at_eof + + async def decode(self, data: bytes) -> bytes: + """Decodes data. + + Decoding is done according the specified Content-Encoding + or Content-Transfer-Encoding headers value. + """ + if CONTENT_TRANSFER_ENCODING in self.headers: + data = self._decode_content_transfer(data) + # https://datatracker.ietf.org/doc/html/rfc7578#section-4.8 + if not self._is_form_data and CONTENT_ENCODING in self.headers: + return await self._decode_content(data) + return data + + async def _decode_content(self, data: bytes) -> bytes: + encoding = self.headers.get(CONTENT_ENCODING, "").lower() + if encoding == "identity": + return data + if encoding in {"deflate", "gzip"}: + return await ZLibDecompressor( + encoding=encoding, + suppress_deflate_header=True, + ).decompress(data, max_length=self._max_decompress_size) + + raise RuntimeError(f"unknown content encoding: {encoding}") + + def _decode_content_transfer(self, data: bytes) -> bytes: + encoding = self.headers.get(CONTENT_TRANSFER_ENCODING, "").lower() + + if encoding == "base64": + return base64.b64decode(data) + elif encoding == "quoted-printable": + return binascii.a2b_qp(data) + elif encoding in ("binary", "8bit", "7bit"): + return data + else: + raise RuntimeError(f"unknown content transfer encoding: {encoding}") + + def get_charset(self, default: str) -> str: + """Returns charset parameter from Content-Type header or default.""" + ctype = self.headers.get(CONTENT_TYPE, "") + mimetype = parse_mimetype(ctype) + return mimetype.parameters.get("charset", self._default_charset or default) + + @reify + def name(self) -> Optional[str]: + """Returns name specified in Content-Disposition header. + + If the header is missing or malformed, returns None. + """ + _, params = parse_content_disposition(self.headers.get(CONTENT_DISPOSITION)) + return content_disposition_filename(params, "name") + + @reify + def filename(self) -> Optional[str]: + """Returns filename specified in Content-Disposition header. + + Returns None if the header is missing or malformed. + """ + _, params = parse_content_disposition(self.headers.get(CONTENT_DISPOSITION)) + return content_disposition_filename(params, "filename") + + +@payload_type(BodyPartReader, order=Order.try_first) +class BodyPartReaderPayload(Payload): + _value: BodyPartReader + # _autoclose = False (inherited) - Streaming reader that may have resources + + def __init__(self, value: BodyPartReader, *args: Any, **kwargs: Any) -> None: + super().__init__(value, *args, **kwargs) + + params: Dict[str, str] = {} + if value.name is not None: + params["name"] = value.name + if value.filename is not None: + params["filename"] = value.filename + + if params: + self.set_content_disposition("attachment", True, **params) + + def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: + raise TypeError("Unable to decode.") + + async def as_bytes(self, encoding: str = "utf-8", errors: str = "strict") -> bytes: + """Raises TypeError as body parts should be consumed via write(). + + This is intentional: BodyPartReader payloads are designed for streaming + large data (potentially gigabytes) and must be consumed only once via + the write() method to avoid memory exhaustion. They cannot be buffered + in memory for reuse. + """ + raise TypeError("Unable to read body part as bytes. Use write() to consume.") + + async def write(self, writer: AbstractStreamWriter) -> None: + field = self._value + chunk = await field.read_chunk(size=2**16) + while chunk: + await writer.write(await field.decode(chunk)) + chunk = await field.read_chunk(size=2**16) + + +class MultipartReader: + """Multipart body reader.""" + + #: Response wrapper, used when multipart readers constructs from response. + response_wrapper_cls = MultipartResponseWrapper + #: Multipart reader class, used to handle multipart/* body parts. + #: None points to type(self) + multipart_reader_cls: Optional[Type["MultipartReader"]] = None + #: Body part reader class for non multipart/* content types. + part_reader_cls = BodyPartReader + + def __init__(self, headers: Mapping[str, str], content: StreamReader) -> None: + self._mimetype = parse_mimetype(headers[CONTENT_TYPE]) + assert self._mimetype.type == "multipart", "multipart/* content type expected" + if "boundary" not in self._mimetype.parameters: + raise ValueError( + "boundary missed for Content-Type: %s" % headers[CONTENT_TYPE] + ) + + self.headers = headers + self._boundary = ("--" + self._get_boundary()).encode() + self._content = content + self._default_charset: Optional[str] = None + self._last_part: Optional[Union["MultipartReader", BodyPartReader]] = None + self._at_eof = False + self._at_bof = True + self._unread: List[bytes] = [] + + def __aiter__(self: Self) -> Self: + return self + + async def __anext__( + self, + ) -> Optional[Union["MultipartReader", BodyPartReader]]: + part = await self.next() + if part is None: + raise StopAsyncIteration + return part + + @classmethod + def from_response( + cls, + response: "ClientResponse", + ) -> MultipartResponseWrapper: + """Constructs reader instance from HTTP response. + + :param response: :class:`~aiohttp.client.ClientResponse` instance + """ + obj = cls.response_wrapper_cls( + response, cls(response.headers, response.content) + ) + return obj + + def at_eof(self) -> bool: + """Returns True if the final boundary was reached, false otherwise.""" + return self._at_eof + + async def next( + self, + ) -> Optional[Union["MultipartReader", BodyPartReader]]: + """Emits the next multipart body part.""" + # So, if we're at BOF, we need to skip till the boundary. + if self._at_eof: + return None + await self._maybe_release_last_part() + if self._at_bof: + await self._read_until_first_boundary() + self._at_bof = False + else: + await self._read_boundary() + if self._at_eof: # we just read the last boundary, nothing to do there + return None + + part = await self.fetch_next_part() + # https://datatracker.ietf.org/doc/html/rfc7578#section-4.6 + if ( + self._last_part is None + and self._mimetype.subtype == "form-data" + and isinstance(part, BodyPartReader) + ): + _, params = parse_content_disposition(part.headers.get(CONTENT_DISPOSITION)) + if params.get("name") == "_charset_": + # Longest encoding in https://encoding.spec.whatwg.org/encodings.json + # is 19 characters, so 32 should be more than enough for any valid encoding. + charset = await part.read_chunk(32) + if len(charset) > 31: + raise RuntimeError("Invalid default charset") + self._default_charset = charset.strip().decode() + part = await self.fetch_next_part() + self._last_part = part + return self._last_part + + async def release(self) -> None: + """Reads all the body parts to the void till the final boundary.""" + while not self._at_eof: + item = await self.next() + if item is None: + break + await item.release() + + async def fetch_next_part( + self, + ) -> Union["MultipartReader", BodyPartReader]: + """Returns the next body part reader.""" + headers = await self._read_headers() + return self._get_part_reader(headers) + + def _get_part_reader( + self, + headers: "CIMultiDictProxy[str]", + ) -> Union["MultipartReader", BodyPartReader]: + """Dispatches the response by the `Content-Type` header. + + Returns a suitable reader instance. + + :param dict headers: Response headers + """ + ctype = headers.get(CONTENT_TYPE, "") + mimetype = parse_mimetype(ctype) + + if mimetype.type == "multipart": + if self.multipart_reader_cls is None: + return type(self)(headers, self._content) + return self.multipart_reader_cls(headers, self._content) + else: + return self.part_reader_cls( + self._boundary, + headers, + self._content, + subtype=self._mimetype.subtype, + default_charset=self._default_charset, + ) + + def _get_boundary(self) -> str: + boundary = self._mimetype.parameters["boundary"] + if len(boundary) > 70: + raise ValueError("boundary %r is too long (70 chars max)" % boundary) + + return boundary + + async def _readline(self) -> bytes: + if self._unread: + return self._unread.pop() + return await self._content.readline() + + async def _read_until_first_boundary(self) -> None: + while True: + chunk = await self._readline() + if chunk == b"": + raise ValueError( + "Could not find starting boundary %r" % (self._boundary) + ) + chunk = chunk.rstrip() + if chunk == self._boundary: + return + elif chunk == self._boundary + b"--": + self._at_eof = True + return + + async def _read_boundary(self) -> None: + chunk = (await self._readline()).rstrip() + if chunk == self._boundary: + pass + elif chunk == self._boundary + b"--": + self._at_eof = True + epilogue = await self._readline() + next_line = await self._readline() + + # the epilogue is expected and then either the end of input or the + # parent multipart boundary, if the parent boundary is found then + # it should be marked as unread and handed to the parent for + # processing + if next_line[:2] == b"--": + self._unread.append(next_line) + # otherwise the request is likely missing an epilogue and both + # lines should be passed to the parent for processing + # (this handles the old behavior gracefully) + else: + self._unread.extend([next_line, epilogue]) + else: + raise ValueError(f"Invalid boundary {chunk!r}, expected {self._boundary!r}") + + async def _read_headers(self) -> "CIMultiDictProxy[str]": + lines = [] + while True: + chunk = await self._content.readline() + chunk = chunk.rstrip(b"\r\n") + lines.append(chunk) + if not chunk: + break + parser = HeadersParser() + headers, raw_headers = parser.parse_headers(lines) + return headers + + async def _maybe_release_last_part(self) -> None: + """Ensures that the last read body part is read completely.""" + if self._last_part is not None: + if not self._last_part.at_eof(): + await self._last_part.release() + self._unread.extend(self._last_part._unread) + self._last_part = None + + +_Part = Tuple[Payload, str, str] + + +class MultipartWriter(Payload): + """Multipart body writer.""" + + _value: None + # _consumed = False (inherited) - Can be encoded multiple times + _autoclose = True # No file handles, just collects parts in memory + + def __init__(self, subtype: str = "mixed", boundary: Optional[str] = None) -> None: + boundary = boundary if boundary is not None else uuid.uuid4().hex + # The underlying Payload API demands a str (utf-8), not bytes, + # so we need to ensure we don't lose anything during conversion. + # As a result, require the boundary to be ASCII only. + # In both situations. + + try: + self._boundary = boundary.encode("ascii") + except UnicodeEncodeError: + raise ValueError("boundary should contain ASCII only chars") from None + ctype = f"multipart/{subtype}; boundary={self._boundary_value}" + + super().__init__(None, content_type=ctype) + + self._parts: List[_Part] = [] + self._is_form_data = subtype == "form-data" + + def __enter__(self) -> "MultipartWriter": + return self + + def __exit__( + self, + exc_type: Optional[Type[BaseException]], + exc_val: Optional[BaseException], + exc_tb: Optional[TracebackType], + ) -> None: + pass + + def __iter__(self) -> Iterator[_Part]: + return iter(self._parts) + + def __len__(self) -> int: + return len(self._parts) + + def __bool__(self) -> bool: + return True + + _valid_tchar_regex = re.compile(rb"\A[!#$%&'*+\-.^_`|~\w]+\Z") + _invalid_qdtext_char_regex = re.compile(rb"[\x00-\x08\x0A-\x1F\x7F]") + + @property + def _boundary_value(self) -> str: + """Wrap boundary parameter value in quotes, if necessary. + + Reads self.boundary and returns a unicode string. + """ + # Refer to RFCs 7231, 7230, 5234. + # + # parameter = token "=" ( token / quoted-string ) + # token = 1*tchar + # quoted-string = DQUOTE *( qdtext / quoted-pair ) DQUOTE + # qdtext = HTAB / SP / %x21 / %x23-5B / %x5D-7E / obs-text + # obs-text = %x80-FF + # quoted-pair = "\" ( HTAB / SP / VCHAR / obs-text ) + # tchar = "!" / "#" / "$" / "%" / "&" / "'" / "*" + # / "+" / "-" / "." / "^" / "_" / "`" / "|" / "~" + # / DIGIT / ALPHA + # ; any VCHAR, except delimiters + # VCHAR = %x21-7E + value = self._boundary + if re.match(self._valid_tchar_regex, value): + return value.decode("ascii") # cannot fail + + if re.search(self._invalid_qdtext_char_regex, value): + raise ValueError("boundary value contains invalid characters") + + # escape %x5C and %x22 + quoted_value_content = value.replace(b"\\", b"\\\\") + quoted_value_content = quoted_value_content.replace(b'"', b'\\"') + + return '"' + quoted_value_content.decode("ascii") + '"' + + @property + def boundary(self) -> str: + return self._boundary.decode("ascii") + + def append(self, obj: Any, headers: Optional[Mapping[str, str]] = None) -> Payload: + if headers is None: + headers = CIMultiDict() + + if isinstance(obj, Payload): + obj.headers.update(headers) + return self.append_payload(obj) + else: + try: + payload = get_payload(obj, headers=headers) + except LookupError: + raise TypeError("Cannot create payload from %r" % obj) + else: + return self.append_payload(payload) + + def append_payload(self, payload: Payload) -> Payload: + """Adds a new body part to multipart writer.""" + encoding: Optional[str] = None + te_encoding: Optional[str] = None + if self._is_form_data: + # https://datatracker.ietf.org/doc/html/rfc7578#section-4.7 + # https://datatracker.ietf.org/doc/html/rfc7578#section-4.8 + assert ( + not {CONTENT_ENCODING, CONTENT_LENGTH, CONTENT_TRANSFER_ENCODING} + & payload.headers.keys() + ) + # Set default Content-Disposition in case user doesn't create one + if CONTENT_DISPOSITION not in payload.headers: + name = f"section-{len(self._parts)}" + payload.set_content_disposition("form-data", name=name) + else: + # compression + encoding = payload.headers.get(CONTENT_ENCODING, "").lower() + if encoding and encoding not in ("deflate", "gzip", "identity"): + raise RuntimeError(f"unknown content encoding: {encoding}") + if encoding == "identity": + encoding = None + + # te encoding + te_encoding = payload.headers.get(CONTENT_TRANSFER_ENCODING, "").lower() + if te_encoding not in ("", "base64", "quoted-printable", "binary"): + raise RuntimeError(f"unknown content transfer encoding: {te_encoding}") + if te_encoding == "binary": + te_encoding = None + + # size + size = payload.size + if size is not None and not (encoding or te_encoding): + payload.headers[CONTENT_LENGTH] = str(size) + + self._parts.append((payload, encoding, te_encoding)) # type: ignore[arg-type] + return payload + + def append_json( + self, obj: Any, headers: Optional[Mapping[str, str]] = None + ) -> Payload: + """Helper to append JSON part.""" + if headers is None: + headers = CIMultiDict() + + return self.append_payload(JsonPayload(obj, headers=headers)) + + def append_form( + self, + obj: Union[Sequence[Tuple[str, str]], Mapping[str, str]], + headers: Optional[Mapping[str, str]] = None, + ) -> Payload: + """Helper to append form urlencoded part.""" + assert isinstance(obj, (Sequence, Mapping)) + + if headers is None: + headers = CIMultiDict() + + if isinstance(obj, Mapping): + obj = list(obj.items()) + data = urlencode(obj, doseq=True) + + return self.append_payload( + StringPayload( + data, headers=headers, content_type="application/x-www-form-urlencoded" + ) + ) + + @property + def size(self) -> Optional[int]: + """Size of the payload.""" + total = 0 + for part, encoding, te_encoding in self._parts: + part_size = part.size + if encoding or te_encoding or part_size is None: + return None + + total += int( + 2 + + len(self._boundary) + + 2 + + part_size # b'--'+self._boundary+b'\r\n' + + len(part._binary_headers) + + 2 # b'\r\n' + ) + + total += 2 + len(self._boundary) + 4 # b'--'+self._boundary+b'--\r\n' + return total + + def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: + """Return string representation of the multipart data. + + WARNING: This method may do blocking I/O if parts contain file payloads. + It should not be called in the event loop. Use as_bytes().decode() instead. + """ + return "".join( + "--" + + self.boundary + + "\r\n" + + part._binary_headers.decode(encoding, errors) + + part.decode() + for part, _e, _te in self._parts + ) + + async def as_bytes(self, encoding: str = "utf-8", errors: str = "strict") -> bytes: + """Return bytes representation of the multipart data. + + This method is async-safe and calls as_bytes on underlying payloads. + """ + parts: List[bytes] = [] + + # Process each part + for part, _e, _te in self._parts: + # Add boundary + parts.append(b"--" + self._boundary + b"\r\n") + + # Add headers + parts.append(part._binary_headers) + + # Add payload content using as_bytes for async safety + part_bytes = await part.as_bytes(encoding, errors) + parts.append(part_bytes) + + # Add trailing CRLF + parts.append(b"\r\n") + + # Add closing boundary + parts.append(b"--" + self._boundary + b"--\r\n") + + return b"".join(parts) + + async def write( + self, writer: AbstractStreamWriter, close_boundary: bool = True + ) -> None: + """Write body.""" + for part, encoding, te_encoding in self._parts: + if self._is_form_data: + # https://datatracker.ietf.org/doc/html/rfc7578#section-4.2 + assert CONTENT_DISPOSITION in part.headers + assert "name=" in part.headers[CONTENT_DISPOSITION] + + await writer.write(b"--" + self._boundary + b"\r\n") + await writer.write(part._binary_headers) + + if encoding or te_encoding: + w = MultipartPayloadWriter(writer) + if encoding: + w.enable_compression(encoding) + if te_encoding: + w.enable_encoding(te_encoding) + await part.write(w) # type: ignore[arg-type] + await w.write_eof() + else: + await part.write(writer) + + await writer.write(b"\r\n") + + if close_boundary: + await writer.write(b"--" + self._boundary + b"--\r\n") + + async def close(self) -> None: + """ + Close all part payloads that need explicit closing. + + IMPORTANT: This method must not await anything that might not finish + immediately, as it may be called during cleanup/cancellation. Schedule + any long-running operations without awaiting them. + """ + if self._consumed: + return + self._consumed = True + + # Close all parts that need explicit closing + # We catch and log exceptions to ensure all parts get a chance to close + # we do not use asyncio.gather() here because we are not allowed + # to suspend given we may be called during cleanup + for idx, (part, _, _) in enumerate(self._parts): + if not part.autoclose and not part.consumed: + try: + await part.close() + except Exception as exc: + internal_logger.error( + "Failed to close multipart part %d: %s", idx, exc, exc_info=True + ) + + +class MultipartPayloadWriter: + def __init__(self, writer: AbstractStreamWriter) -> None: + self._writer = writer + self._encoding: Optional[str] = None + self._compress: Optional[ZLibCompressor] = None + self._encoding_buffer: Optional[bytearray] = None + + def enable_encoding(self, encoding: str) -> None: + if encoding == "base64": + self._encoding = encoding + self._encoding_buffer = bytearray() + elif encoding == "quoted-printable": + self._encoding = "quoted-printable" + + def enable_compression( + self, encoding: str = "deflate", strategy: Optional[int] = None + ) -> None: + self._compress = ZLibCompressor( + encoding=encoding, + suppress_deflate_header=True, + strategy=strategy, + ) + + async def write_eof(self) -> None: + if self._compress is not None: + chunk = self._compress.flush() + if chunk: + self._compress = None + await self.write(chunk) + + if self._encoding == "base64": + if self._encoding_buffer: + await self._writer.write(base64.b64encode(self._encoding_buffer)) + + async def write(self, chunk: bytes) -> None: + if self._compress is not None: + if chunk: + chunk = await self._compress.compress(chunk) + if not chunk: + return + + if self._encoding == "base64": + buf = self._encoding_buffer + assert buf is not None + buf.extend(chunk) + + if buf: + div, mod = divmod(len(buf), 3) + enc_chunk, self._encoding_buffer = (buf[: div * 3], buf[div * 3 :]) + if enc_chunk: + b64chunk = base64.b64encode(enc_chunk) + await self._writer.write(b64chunk) + elif self._encoding == "quoted-printable": + await self._writer.write(binascii.b2a_qp(chunk)) + else: + await self._writer.write(chunk) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/payload.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/payload.py new file mode 100644 index 0000000000000000000000000000000000000000..5b88fa094050fcef280050b54429f6bd43b166d3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/payload.py @@ -0,0 +1,1120 @@ +import asyncio +import enum +import io +import json +import mimetypes +import os +import sys +import warnings +from abc import ABC, abstractmethod +from collections.abc import Iterable +from itertools import chain +from typing import ( + IO, + TYPE_CHECKING, + Any, + Dict, + Final, + List, + Optional, + Set, + TextIO, + Tuple, + Type, + Union, +) + +from multidict import CIMultiDict + +from . import hdrs +from .abc import AbstractStreamWriter +from .helpers import ( + _SENTINEL, + content_disposition_header, + guess_filename, + parse_mimetype, + sentinel, +) +from .streams import StreamReader +from .typedefs import JSONEncoder, _CIMultiDict + +__all__ = ( + "PAYLOAD_REGISTRY", + "get_payload", + "payload_type", + "Payload", + "BytesPayload", + "StringPayload", + "IOBasePayload", + "BytesIOPayload", + "BufferedReaderPayload", + "TextIOPayload", + "StringIOPayload", + "JsonPayload", + "AsyncIterablePayload", +) + +TOO_LARGE_BYTES_BODY: Final[int] = 2**20 # 1 MB +READ_SIZE: Final[int] = 2**16 # 64 KB +_CLOSE_FUTURES: Set[asyncio.Future[None]] = set() + + +class LookupError(Exception): + """Raised when no payload factory is found for the given data type.""" + + +class Order(str, enum.Enum): + normal = "normal" + try_first = "try_first" + try_last = "try_last" + + +def get_payload(data: Any, *args: Any, **kwargs: Any) -> "Payload": + return PAYLOAD_REGISTRY.get(data, *args, **kwargs) + + +def register_payload( + factory: Type["Payload"], type: Any, *, order: Order = Order.normal +) -> None: + PAYLOAD_REGISTRY.register(factory, type, order=order) + + +class payload_type: + def __init__(self, type: Any, *, order: Order = Order.normal) -> None: + self.type = type + self.order = order + + def __call__(self, factory: Type["Payload"]) -> Type["Payload"]: + register_payload(factory, self.type, order=self.order) + return factory + + +PayloadType = Type["Payload"] +_PayloadRegistryItem = Tuple[PayloadType, Any] + + +class PayloadRegistry: + """Payload registry. + + note: we need zope.interface for more efficient adapter search + """ + + __slots__ = ("_first", "_normal", "_last", "_normal_lookup") + + def __init__(self) -> None: + self._first: List[_PayloadRegistryItem] = [] + self._normal: List[_PayloadRegistryItem] = [] + self._last: List[_PayloadRegistryItem] = [] + self._normal_lookup: Dict[Any, PayloadType] = {} + + def get( + self, + data: Any, + *args: Any, + _CHAIN: "Type[chain[_PayloadRegistryItem]]" = chain, + **kwargs: Any, + ) -> "Payload": + if self._first: + for factory, type_ in self._first: + if isinstance(data, type_): + return factory(data, *args, **kwargs) + # Try the fast lookup first + if lookup_factory := self._normal_lookup.get(type(data)): + return lookup_factory(data, *args, **kwargs) + # Bail early if its already a Payload + if isinstance(data, Payload): + return data + # Fallback to the slower linear search + for factory, type_ in _CHAIN(self._normal, self._last): + if isinstance(data, type_): + return factory(data, *args, **kwargs) + raise LookupError() + + def register( + self, factory: PayloadType, type: Any, *, order: Order = Order.normal + ) -> None: + if order is Order.try_first: + self._first.append((factory, type)) + elif order is Order.normal: + self._normal.append((factory, type)) + if isinstance(type, Iterable): + for t in type: + self._normal_lookup[t] = factory + else: + self._normal_lookup[type] = factory + elif order is Order.try_last: + self._last.append((factory, type)) + else: + raise ValueError(f"Unsupported order {order!r}") + + +class Payload(ABC): + + _default_content_type: str = "application/octet-stream" + _size: Optional[int] = None + _consumed: bool = False # Default: payload has not been consumed yet + _autoclose: bool = False # Default: assume resource needs explicit closing + + def __init__( + self, + value: Any, + headers: Optional[ + Union[_CIMultiDict, Dict[str, str], Iterable[Tuple[str, str]]] + ] = None, + content_type: Union[str, None, _SENTINEL] = sentinel, + filename: Optional[str] = None, + encoding: Optional[str] = None, + **kwargs: Any, + ) -> None: + self._encoding = encoding + self._filename = filename + self._headers: _CIMultiDict = CIMultiDict() + self._value = value + if content_type is not sentinel and content_type is not None: + self._headers[hdrs.CONTENT_TYPE] = content_type + elif self._filename is not None: + if sys.version_info >= (3, 13): + guesser = mimetypes.guess_file_type + else: + guesser = mimetypes.guess_type + content_type = guesser(self._filename)[0] + if content_type is None: + content_type = self._default_content_type + self._headers[hdrs.CONTENT_TYPE] = content_type + else: + self._headers[hdrs.CONTENT_TYPE] = self._default_content_type + if headers: + self._headers.update(headers) + + @property + def size(self) -> Optional[int]: + """Size of the payload in bytes. + + Returns the number of bytes that will be transmitted when the payload + is written. For string payloads, this is the size after encoding to bytes, + not the length of the string. + """ + return self._size + + @property + def filename(self) -> Optional[str]: + """Filename of the payload.""" + return self._filename + + @property + def headers(self) -> _CIMultiDict: + """Custom item headers""" + return self._headers + + @property + def _binary_headers(self) -> bytes: + return ( + "".join([k + ": " + v + "\r\n" for k, v in self.headers.items()]).encode( + "utf-8" + ) + + b"\r\n" + ) + + @property + def encoding(self) -> Optional[str]: + """Payload encoding""" + return self._encoding + + @property + def content_type(self) -> str: + """Content type""" + return self._headers[hdrs.CONTENT_TYPE] + + @property + def consumed(self) -> bool: + """Whether the payload has been consumed and cannot be reused.""" + return self._consumed + + @property + def autoclose(self) -> bool: + """ + Whether the payload can close itself automatically. + + Returns True if the payload has no file handles or resources that need + explicit closing. If False, callers must await close() to release resources. + """ + return self._autoclose + + def set_content_disposition( + self, + disptype: str, + quote_fields: bool = True, + _charset: str = "utf-8", + **params: Any, + ) -> None: + """Sets ``Content-Disposition`` header.""" + self._headers[hdrs.CONTENT_DISPOSITION] = content_disposition_header( + disptype, quote_fields=quote_fields, _charset=_charset, **params + ) + + @abstractmethod + def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: + """ + Return string representation of the value. + + This is named decode() to allow compatibility with bytes objects. + """ + + @abstractmethod + async def write(self, writer: AbstractStreamWriter) -> None: + """ + Write payload to the writer stream. + + Args: + writer: An AbstractStreamWriter instance that handles the actual writing + + This is a legacy method that writes the entire payload without length constraints. + + Important: + For new implementations, use write_with_length() instead of this method. + This method is maintained for backwards compatibility and will eventually + delegate to write_with_length(writer, None) in all implementations. + + All payload subclasses must override this method for backwards compatibility, + but new code should use write_with_length for more flexibility and control. + + """ + + # write_with_length is new in aiohttp 3.12 + # it should be overridden by subclasses + async def write_with_length( + self, writer: AbstractStreamWriter, content_length: Optional[int] + ) -> None: + """ + Write payload with a specific content length constraint. + + Args: + writer: An AbstractStreamWriter instance that handles the actual writing + content_length: Maximum number of bytes to write (None for unlimited) + + This method allows writing payload content with a specific length constraint, + which is particularly useful for HTTP responses with Content-Length header. + + Note: + This is the base implementation that provides backwards compatibility + for subclasses that don't override this method. Specific payload types + should override this method to implement proper length-constrained writing. + + """ + # Backwards compatibility for subclasses that don't override this method + # and for the default implementation + await self.write(writer) + + async def as_bytes(self, encoding: str = "utf-8", errors: str = "strict") -> bytes: + """ + Return bytes representation of the value. + + This is a convenience method that calls decode() and encodes the result + to bytes using the specified encoding. + """ + # Use instance encoding if available, otherwise use parameter + actual_encoding = self._encoding or encoding + return self.decode(actual_encoding, errors).encode(actual_encoding) + + def _close(self) -> None: + """ + Async safe synchronous close operations for backwards compatibility. + + This method exists only for backwards compatibility with code that + needs to clean up payloads synchronously. In the future, we will + drop this method and only support the async close() method. + + WARNING: This method must be safe to call from within the event loop + without blocking. Subclasses should not perform any blocking I/O here. + + WARNING: This method must be called from within an event loop for + certain payload types (e.g., IOBasePayload). Calling it outside an + event loop may raise RuntimeError. + """ + # This is a no-op by default, but subclasses can override it + # for non-blocking cleanup operations. + + async def close(self) -> None: + """ + Close the payload if it holds any resources. + + IMPORTANT: This method must not await anything that might not finish + immediately, as it may be called during cleanup/cancellation. Schedule + any long-running operations without awaiting them. + + In the future, this will be the only close method supported. + """ + self._close() + + +class BytesPayload(Payload): + _value: bytes + # _consumed = False (inherited) - Bytes are immutable and can be reused + _autoclose = True # No file handle, just bytes in memory + + def __init__( + self, value: Union[bytes, bytearray, memoryview], *args: Any, **kwargs: Any + ) -> None: + if "content_type" not in kwargs: + kwargs["content_type"] = "application/octet-stream" + + super().__init__(value, *args, **kwargs) + + if isinstance(value, memoryview): + self._size = value.nbytes + elif isinstance(value, (bytes, bytearray)): + self._size = len(value) + else: + raise TypeError(f"value argument must be byte-ish, not {type(value)!r}") + + if self._size > TOO_LARGE_BYTES_BODY: + kwargs = {"source": self} + warnings.warn( + "Sending a large body directly with raw bytes might" + " lock the event loop. You should probably pass an " + "io.BytesIO object instead", + ResourceWarning, + **kwargs, + ) + + def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: + return self._value.decode(encoding, errors) + + async def as_bytes(self, encoding: str = "utf-8", errors: str = "strict") -> bytes: + """ + Return bytes representation of the value. + + This method returns the raw bytes content of the payload. + It is equivalent to accessing the _value attribute directly. + """ + return self._value + + async def write(self, writer: AbstractStreamWriter) -> None: + """ + Write the entire bytes payload to the writer stream. + + Args: + writer: An AbstractStreamWriter instance that handles the actual writing + + This method writes the entire bytes content without any length constraint. + + Note: + For new implementations that need length control, use write_with_length(). + This method is maintained for backwards compatibility and is equivalent + to write_with_length(writer, None). + + """ + await writer.write(self._value) + + async def write_with_length( + self, writer: AbstractStreamWriter, content_length: Optional[int] + ) -> None: + """ + Write bytes payload with a specific content length constraint. + + Args: + writer: An AbstractStreamWriter instance that handles the actual writing + content_length: Maximum number of bytes to write (None for unlimited) + + This method writes either the entire byte sequence or a slice of it + up to the specified content_length. For BytesPayload, this operation + is performed efficiently using array slicing. + + """ + if content_length is not None: + await writer.write(self._value[:content_length]) + else: + await writer.write(self._value) + + +class StringPayload(BytesPayload): + def __init__( + self, + value: str, + *args: Any, + encoding: Optional[str] = None, + content_type: Optional[str] = None, + **kwargs: Any, + ) -> None: + + if encoding is None: + if content_type is None: + real_encoding = "utf-8" + content_type = "text/plain; charset=utf-8" + else: + mimetype = parse_mimetype(content_type) + real_encoding = mimetype.parameters.get("charset", "utf-8") + else: + if content_type is None: + content_type = "text/plain; charset=%s" % encoding + real_encoding = encoding + + super().__init__( + value.encode(real_encoding), + encoding=real_encoding, + content_type=content_type, + *args, + **kwargs, + ) + + +class StringIOPayload(StringPayload): + def __init__(self, value: IO[str], *args: Any, **kwargs: Any) -> None: + super().__init__(value.read(), *args, **kwargs) + + +class IOBasePayload(Payload): + _value: io.IOBase + # _consumed = False (inherited) - File can be re-read from the same position + _start_position: Optional[int] = None + # _autoclose = False (inherited) - Has file handle that needs explicit closing + + def __init__( + self, value: IO[Any], disposition: str = "attachment", *args: Any, **kwargs: Any + ) -> None: + if "filename" not in kwargs: + kwargs["filename"] = guess_filename(value) + + super().__init__(value, *args, **kwargs) + + if self._filename is not None and disposition is not None: + if hdrs.CONTENT_DISPOSITION not in self.headers: + self.set_content_disposition(disposition, filename=self._filename) + + def _set_or_restore_start_position(self) -> None: + """Set or restore the start position of the file-like object.""" + if self._start_position is None: + try: + self._start_position = self._value.tell() + except (OSError, AttributeError): + self._consumed = True # Cannot seek, mark as consumed + return + try: + self._value.seek(self._start_position) + except (OSError, AttributeError): + # Failed to seek back - mark as consumed since we've already read + self._consumed = True + + def _read_and_available_len( + self, remaining_content_len: Optional[int] + ) -> Tuple[Optional[int], bytes]: + """ + Read the file-like object and return both its total size and the first chunk. + + Args: + remaining_content_len: Optional limit on how many bytes to read in this operation. + If None, READ_SIZE will be used as the default chunk size. + + Returns: + A tuple containing: + - The total size of the remaining unread content (None if size cannot be determined) + - The first chunk of bytes read from the file object + + This method is optimized to perform both size calculation and initial read + in a single operation, which is executed in a single executor job to minimize + context switches and file operations when streaming content. + + """ + self._set_or_restore_start_position() + size = self.size # Call size only once since it does I/O + return size, self._value.read( + min(READ_SIZE, size or READ_SIZE, remaining_content_len or READ_SIZE) + ) + + def _read(self, remaining_content_len: Optional[int]) -> bytes: + """ + Read a chunk of data from the file-like object. + + Args: + remaining_content_len: Optional maximum number of bytes to read. + If None, READ_SIZE will be used as the default chunk size. + + Returns: + A chunk of bytes read from the file object, respecting the + remaining_content_len limit if specified. + + This method is used for subsequent reads during streaming after + the initial _read_and_available_len call has been made. + + """ + return self._value.read(remaining_content_len or READ_SIZE) # type: ignore[no-any-return] + + @property + def size(self) -> Optional[int]: + """ + Size of the payload in bytes. + + Returns the total size of the payload content from the initial position. + This ensures consistent Content-Length for requests, including 307/308 redirects + where the same payload instance is reused. + + Returns None if the size cannot be determined (e.g., for unseekable streams). + """ + try: + # Store the start position on first access. + # This is critical when the same payload instance is reused (e.g., 307/308 + # redirects). Without storing the initial position, after the payload is + # read once, the file position would be at EOF, which would cause the + # size calculation to return 0 (file_size - EOF position). + # By storing the start position, we ensure the size calculation always + # returns the correct total size for any subsequent use. + if self._start_position is None: + self._start_position = self._value.tell() + + # Return the total size from the start position + # This ensures Content-Length is correct even after reading + return os.fstat(self._value.fileno()).st_size - self._start_position + except (AttributeError, OSError): + return None + + async def write(self, writer: AbstractStreamWriter) -> None: + """ + Write the entire file-like payload to the writer stream. + + Args: + writer: An AbstractStreamWriter instance that handles the actual writing + + This method writes the entire file content without any length constraint. + It delegates to write_with_length() with no length limit for implementation + consistency. + + Note: + For new implementations that need length control, use write_with_length() directly. + This method is maintained for backwards compatibility with existing code. + + """ + await self.write_with_length(writer, None) + + async def write_with_length( + self, writer: AbstractStreamWriter, content_length: Optional[int] + ) -> None: + """ + Write file-like payload with a specific content length constraint. + + Args: + writer: An AbstractStreamWriter instance that handles the actual writing + content_length: Maximum number of bytes to write (None for unlimited) + + This method implements optimized streaming of file content with length constraints: + + 1. File reading is performed in a thread pool to avoid blocking the event loop + 2. Content is read and written in chunks to maintain memory efficiency + 3. Writing stops when either: + - All available file content has been written (when size is known) + - The specified content_length has been reached + 4. File resources are properly closed even if the operation is cancelled + + The implementation carefully handles both known-size and unknown-size payloads, + as well as constrained and unconstrained content lengths. + + """ + loop = asyncio.get_running_loop() + total_written_len = 0 + remaining_content_len = content_length + + # Get initial data and available length + available_len, chunk = await loop.run_in_executor( + None, self._read_and_available_len, remaining_content_len + ) + # Process data chunks until done + while chunk: + chunk_len = len(chunk) + + # Write data with or without length constraint + if remaining_content_len is None: + await writer.write(chunk) + else: + await writer.write(chunk[:remaining_content_len]) + remaining_content_len -= chunk_len + + total_written_len += chunk_len + + # Check if we're done writing + if self._should_stop_writing( + available_len, total_written_len, remaining_content_len + ): + return + + # Read next chunk + chunk = await loop.run_in_executor( + None, + self._read, + ( + min(READ_SIZE, remaining_content_len) + if remaining_content_len is not None + else READ_SIZE + ), + ) + + def _should_stop_writing( + self, + available_len: Optional[int], + total_written_len: int, + remaining_content_len: Optional[int], + ) -> bool: + """ + Determine if we should stop writing data. + + Args: + available_len: Known size of the payload if available (None if unknown) + total_written_len: Number of bytes already written + remaining_content_len: Remaining bytes to be written for content-length limited responses + + Returns: + True if we should stop writing data, based on either: + - Having written all available data (when size is known) + - Having written all requested content (when content-length is specified) + + """ + return (available_len is not None and total_written_len >= available_len) or ( + remaining_content_len is not None and remaining_content_len <= 0 + ) + + def _close(self) -> None: + """ + Async safe synchronous close operations for backwards compatibility. + + This method exists only for backwards + compatibility. Use the async close() method instead. + + WARNING: This method MUST be called from within an event loop. + Calling it outside an event loop will raise RuntimeError. + """ + # Skip if already consumed + if self._consumed: + return + self._consumed = True # Mark as consumed to prevent further writes + # Schedule file closing without awaiting to prevent cancellation issues + loop = asyncio.get_running_loop() + close_future = loop.run_in_executor(None, self._value.close) + # Hold a strong reference to the future to prevent it from being + # garbage collected before it completes. + _CLOSE_FUTURES.add(close_future) + close_future.add_done_callback(_CLOSE_FUTURES.remove) + + async def close(self) -> None: + """ + Close the payload if it holds any resources. + + IMPORTANT: This method must not await anything that might not finish + immediately, as it may be called during cleanup/cancellation. Schedule + any long-running operations without awaiting them. + """ + self._close() + + def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: + """ + Return string representation of the value. + + WARNING: This method does blocking I/O and should not be called in the event loop. + """ + return self._read_all().decode(encoding, errors) + + def _read_all(self) -> bytes: + """Read the entire file-like object and return its content as bytes.""" + self._set_or_restore_start_position() + # Use readlines() to ensure we get all content + return b"".join(self._value.readlines()) + + async def as_bytes(self, encoding: str = "utf-8", errors: str = "strict") -> bytes: + """ + Return bytes representation of the value. + + This method reads the entire file content and returns it as bytes. + It is equivalent to reading the file-like object directly. + The file reading is performed in an executor to avoid blocking the event loop. + """ + loop = asyncio.get_running_loop() + return await loop.run_in_executor(None, self._read_all) + + +class TextIOPayload(IOBasePayload): + _value: io.TextIOBase + # _autoclose = False (inherited) - Has text file handle that needs explicit closing + + def __init__( + self, + value: TextIO, + *args: Any, + encoding: Optional[str] = None, + content_type: Optional[str] = None, + **kwargs: Any, + ) -> None: + + if encoding is None: + if content_type is None: + encoding = "utf-8" + content_type = "text/plain; charset=utf-8" + else: + mimetype = parse_mimetype(content_type) + encoding = mimetype.parameters.get("charset", "utf-8") + else: + if content_type is None: + content_type = "text/plain; charset=%s" % encoding + + super().__init__( + value, + content_type=content_type, + encoding=encoding, + *args, + **kwargs, + ) + + def _read_and_available_len( + self, remaining_content_len: Optional[int] + ) -> Tuple[Optional[int], bytes]: + """ + Read the text file-like object and return both its total size and the first chunk. + + Args: + remaining_content_len: Optional limit on how many bytes to read in this operation. + If None, READ_SIZE will be used as the default chunk size. + + Returns: + A tuple containing: + - The total size of the remaining unread content (None if size cannot be determined) + - The first chunk of bytes read from the file object, encoded using the payload's encoding + + This method is optimized to perform both size calculation and initial read + in a single operation, which is executed in a single executor job to minimize + context switches and file operations when streaming content. + + Note: + TextIOPayload handles encoding of the text content before writing it + to the stream. If no encoding is specified, UTF-8 is used as the default. + + """ + self._set_or_restore_start_position() + size = self.size + chunk = self._value.read( + min(READ_SIZE, size or READ_SIZE, remaining_content_len or READ_SIZE) + ) + return size, chunk.encode(self._encoding) if self._encoding else chunk.encode() + + def _read(self, remaining_content_len: Optional[int]) -> bytes: + """ + Read a chunk of data from the text file-like object. + + Args: + remaining_content_len: Optional maximum number of bytes to read. + If None, READ_SIZE will be used as the default chunk size. + + Returns: + A chunk of bytes read from the file object and encoded using the payload's + encoding. The data is automatically converted from text to bytes. + + This method is used for subsequent reads during streaming after + the initial _read_and_available_len call has been made. It properly + handles text encoding, converting the text content to bytes using + the specified encoding (or UTF-8 if none was provided). + + """ + chunk = self._value.read(remaining_content_len or READ_SIZE) + return chunk.encode(self._encoding) if self._encoding else chunk.encode() + + def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: + """ + Return string representation of the value. + + WARNING: This method does blocking I/O and should not be called in the event loop. + """ + self._set_or_restore_start_position() + return self._value.read() + + async def as_bytes(self, encoding: str = "utf-8", errors: str = "strict") -> bytes: + """ + Return bytes representation of the value. + + This method reads the entire text file content and returns it as bytes. + It encodes the text content using the specified encoding. + The file reading is performed in an executor to avoid blocking the event loop. + """ + loop = asyncio.get_running_loop() + + # Use instance encoding if available, otherwise use parameter + actual_encoding = self._encoding or encoding + + def _read_and_encode() -> bytes: + self._set_or_restore_start_position() + # TextIO read() always returns the full content + return self._value.read().encode(actual_encoding, errors) + + return await loop.run_in_executor(None, _read_and_encode) + + +class BytesIOPayload(IOBasePayload): + _value: io.BytesIO + _size: int # Always initialized in __init__ + _autoclose = True # BytesIO is in-memory, safe to auto-close + + def __init__(self, value: io.BytesIO, *args: Any, **kwargs: Any) -> None: + super().__init__(value, *args, **kwargs) + # Calculate size once during initialization + self._size = len(self._value.getbuffer()) - self._value.tell() + + @property + def size(self) -> int: + """Size of the payload in bytes. + + Returns the number of bytes in the BytesIO buffer that will be transmitted. + This is calculated once during initialization for efficiency. + """ + return self._size + + def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: + self._set_or_restore_start_position() + return self._value.read().decode(encoding, errors) + + async def write(self, writer: AbstractStreamWriter) -> None: + return await self.write_with_length(writer, None) + + async def write_with_length( + self, writer: AbstractStreamWriter, content_length: Optional[int] + ) -> None: + """ + Write BytesIO payload with a specific content length constraint. + + Args: + writer: An AbstractStreamWriter instance that handles the actual writing + content_length: Maximum number of bytes to write (None for unlimited) + + This implementation is specifically optimized for BytesIO objects: + + 1. Reads content in chunks to maintain memory efficiency + 2. Yields control back to the event loop periodically to prevent blocking + when dealing with large BytesIO objects + 3. Respects content_length constraints when specified + 4. Properly cleans up by closing the BytesIO object when done or on error + + The periodic yielding to the event loop is important for maintaining + responsiveness when processing large in-memory buffers. + + """ + self._set_or_restore_start_position() + loop_count = 0 + remaining_bytes = content_length + while chunk := self._value.read(READ_SIZE): + if loop_count > 0: + # Avoid blocking the event loop + # if they pass a large BytesIO object + # and we are not in the first iteration + # of the loop + await asyncio.sleep(0) + if remaining_bytes is None: + await writer.write(chunk) + else: + await writer.write(chunk[:remaining_bytes]) + remaining_bytes -= len(chunk) + if remaining_bytes <= 0: + return + loop_count += 1 + + async def as_bytes(self, encoding: str = "utf-8", errors: str = "strict") -> bytes: + """ + Return bytes representation of the value. + + This method reads the entire BytesIO content and returns it as bytes. + It is equivalent to accessing the _value attribute directly. + """ + self._set_or_restore_start_position() + return self._value.read() + + async def close(self) -> None: + """ + Close the BytesIO payload. + + This does nothing since BytesIO is in-memory and does not require explicit closing. + """ + + +class BufferedReaderPayload(IOBasePayload): + _value: io.BufferedIOBase + # _autoclose = False (inherited) - Has buffered file handle that needs explicit closing + + def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: + self._set_or_restore_start_position() + return self._value.read().decode(encoding, errors) + + +class JsonPayload(BytesPayload): + def __init__( + self, + value: Any, + encoding: str = "utf-8", + content_type: str = "application/json", + dumps: JSONEncoder = json.dumps, + *args: Any, + **kwargs: Any, + ) -> None: + + super().__init__( + dumps(value).encode(encoding), + content_type=content_type, + encoding=encoding, + *args, + **kwargs, + ) + + +if TYPE_CHECKING: + from typing import AsyncIterable, AsyncIterator + + _AsyncIterator = AsyncIterator[bytes] + _AsyncIterable = AsyncIterable[bytes] +else: + from collections.abc import AsyncIterable, AsyncIterator + + _AsyncIterator = AsyncIterator + _AsyncIterable = AsyncIterable + + +class AsyncIterablePayload(Payload): + + _iter: Optional[_AsyncIterator] = None + _value: _AsyncIterable + _cached_chunks: Optional[List[bytes]] = None + # _consumed stays False to allow reuse with cached content + _autoclose = True # Iterator doesn't need explicit closing + + def __init__(self, value: _AsyncIterable, *args: Any, **kwargs: Any) -> None: + if not isinstance(value, AsyncIterable): + raise TypeError( + "value argument must support " + "collections.abc.AsyncIterable interface, " + "got {!r}".format(type(value)) + ) + + if "content_type" not in kwargs: + kwargs["content_type"] = "application/octet-stream" + + super().__init__(value, *args, **kwargs) + + self._iter = value.__aiter__() + + async def write(self, writer: AbstractStreamWriter) -> None: + """ + Write the entire async iterable payload to the writer stream. + + Args: + writer: An AbstractStreamWriter instance that handles the actual writing + + This method iterates through the async iterable and writes each chunk + to the writer without any length constraint. + + Note: + For new implementations that need length control, use write_with_length() directly. + This method is maintained for backwards compatibility with existing code. + + """ + await self.write_with_length(writer, None) + + async def write_with_length( + self, writer: AbstractStreamWriter, content_length: Optional[int] + ) -> None: + """ + Write async iterable payload with a specific content length constraint. + + Args: + writer: An AbstractStreamWriter instance that handles the actual writing + content_length: Maximum number of bytes to write (None for unlimited) + + This implementation handles streaming of async iterable content with length constraints: + + 1. If cached chunks are available, writes from them + 2. Otherwise iterates through the async iterable one chunk at a time + 3. Respects content_length constraints when specified + 4. Does NOT generate cache - that's done by as_bytes() + + """ + # If we have cached chunks, use them + if self._cached_chunks is not None: + remaining_bytes = content_length + for chunk in self._cached_chunks: + if remaining_bytes is None: + await writer.write(chunk) + elif remaining_bytes > 0: + await writer.write(chunk[:remaining_bytes]) + remaining_bytes -= len(chunk) + else: + break + return + + # If iterator is exhausted and we don't have cached chunks, nothing to write + if self._iter is None: + return + + # Stream from the iterator + remaining_bytes = content_length + + try: + while True: + if sys.version_info >= (3, 10): + chunk = await anext(self._iter) + else: + chunk = await self._iter.__anext__() + if remaining_bytes is None: + await writer.write(chunk) + # If we have a content length limit + elif remaining_bytes > 0: + await writer.write(chunk[:remaining_bytes]) + remaining_bytes -= len(chunk) + # We still want to exhaust the iterator even + # if we have reached the content length limit + # since the file handle may not get closed by + # the iterator if we don't do this + except StopAsyncIteration: + # Iterator is exhausted + self._iter = None + self._consumed = True # Mark as consumed when streamed without caching + + def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: + """Decode the payload content as a string if cached chunks are available.""" + if self._cached_chunks is not None: + return b"".join(self._cached_chunks).decode(encoding, errors) + raise TypeError("Unable to decode - content not cached. Call as_bytes() first.") + + async def as_bytes(self, encoding: str = "utf-8", errors: str = "strict") -> bytes: + """ + Return bytes representation of the value. + + This method reads the entire async iterable content and returns it as bytes. + It generates and caches the chunks for future reuse. + """ + # If we have cached chunks, return them joined + if self._cached_chunks is not None: + return b"".join(self._cached_chunks) + + # If iterator is exhausted and no cache, return empty + if self._iter is None: + return b"" + + # Read all chunks and cache them + chunks: List[bytes] = [] + async for chunk in self._iter: + chunks.append(chunk) + + # Iterator is exhausted, cache the chunks + self._iter = None + self._cached_chunks = chunks + # Keep _consumed as False to allow reuse with cached chunks + + return b"".join(chunks) + + +class StreamReaderPayload(AsyncIterablePayload): + def __init__(self, value: StreamReader, *args: Any, **kwargs: Any) -> None: + super().__init__(value.iter_any(), *args, **kwargs) + + +PAYLOAD_REGISTRY = PayloadRegistry() +PAYLOAD_REGISTRY.register(BytesPayload, (bytes, bytearray, memoryview)) +PAYLOAD_REGISTRY.register(StringPayload, str) +PAYLOAD_REGISTRY.register(StringIOPayload, io.StringIO) +PAYLOAD_REGISTRY.register(TextIOPayload, io.TextIOBase) +PAYLOAD_REGISTRY.register(BytesIOPayload, io.BytesIO) +PAYLOAD_REGISTRY.register(BufferedReaderPayload, (io.BufferedReader, io.BufferedRandom)) +PAYLOAD_REGISTRY.register(IOBasePayload, io.IOBase) +PAYLOAD_REGISTRY.register(StreamReaderPayload, StreamReader) +# try_last for giving a chance to more specialized async interables like +# multipart.BodyPartReaderPayload override the default +PAYLOAD_REGISTRY.register(AsyncIterablePayload, AsyncIterable, order=Order.try_last) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/payload_streamer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/payload_streamer.py new file mode 100644 index 0000000000000000000000000000000000000000..831fdc0a77f302acaf9a000be408fe7c9a9035aa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/payload_streamer.py @@ -0,0 +1,78 @@ +""" +Payload implementation for coroutines as data provider. + +As a simple case, you can upload data from file:: + + @aiohttp.streamer + async def file_sender(writer, file_name=None): + with open(file_name, 'rb') as f: + chunk = f.read(2**16) + while chunk: + await writer.write(chunk) + + chunk = f.read(2**16) + +Then you can use `file_sender` like this: + + async with session.post('http://httpbin.org/post', + data=file_sender(file_name='huge_file')) as resp: + print(await resp.text()) + +..note:: Coroutine must accept `writer` as first argument + +""" + +import types +import warnings +from typing import Any, Awaitable, Callable, Dict, Tuple + +from .abc import AbstractStreamWriter +from .payload import Payload, payload_type + +__all__ = ("streamer",) + + +class _stream_wrapper: + def __init__( + self, + coro: Callable[..., Awaitable[None]], + args: Tuple[Any, ...], + kwargs: Dict[str, Any], + ) -> None: + self.coro = types.coroutine(coro) + self.args = args + self.kwargs = kwargs + + async def __call__(self, writer: AbstractStreamWriter) -> None: + await self.coro(writer, *self.args, **self.kwargs) + + +class streamer: + def __init__(self, coro: Callable[..., Awaitable[None]]) -> None: + warnings.warn( + "@streamer is deprecated, use async generators instead", + DeprecationWarning, + stacklevel=2, + ) + self.coro = coro + + def __call__(self, *args: Any, **kwargs: Any) -> _stream_wrapper: + return _stream_wrapper(self.coro, args, kwargs) + + +@payload_type(_stream_wrapper) +class StreamWrapperPayload(Payload): + async def write(self, writer: AbstractStreamWriter) -> None: + await self._value(writer) + + def decode(self, encoding: str = "utf-8", errors: str = "strict") -> str: + raise TypeError("Unable to decode.") + + +@payload_type(streamer) +class StreamPayload(StreamWrapperPayload): + def __init__(self, value: Any, *args: Any, **kwargs: Any) -> None: + super().__init__(value(), *args, **kwargs) + + async def write(self, writer: AbstractStreamWriter) -> None: + await self._value(writer) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..f5642f79f21d872f010979dcf6f0c4a415acc19d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/py.typed @@ -0,0 +1 @@ +Marker diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/pytest_plugin.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/pytest_plugin.py new file mode 100644 index 0000000000000000000000000000000000000000..7d59fe820d697632c9a3311ff96841ebc0ee735b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/pytest_plugin.py @@ -0,0 +1,444 @@ +import asyncio +import contextlib +import inspect +import warnings +from typing import ( + Any, + Awaitable, + Callable, + Dict, + Iterator, + Optional, + Protocol, + Union, + overload, +) + +import pytest + +from .test_utils import ( + BaseTestServer, + RawTestServer, + TestClient, + TestServer, + loop_context, + setup_test_loop, + teardown_test_loop, + unused_port as _unused_port, +) +from .web import Application, BaseRequest, Request +from .web_protocol import _RequestHandler + +try: + import uvloop +except ImportError: # pragma: no cover + uvloop = None # type: ignore[assignment] + + +class AiohttpClient(Protocol): + @overload + async def __call__( + self, + __param: Application, + *, + server_kwargs: Optional[Dict[str, Any]] = None, + **kwargs: Any, + ) -> TestClient[Request, Application]: ... + @overload + async def __call__( + self, + __param: BaseTestServer, + *, + server_kwargs: Optional[Dict[str, Any]] = None, + **kwargs: Any, + ) -> TestClient[BaseRequest, None]: ... + + +class AiohttpServer(Protocol): + def __call__( + self, app: Application, *, port: Optional[int] = None, **kwargs: Any + ) -> Awaitable[TestServer]: ... + + +class AiohttpRawServer(Protocol): + def __call__( + self, handler: _RequestHandler, *, port: Optional[int] = None, **kwargs: Any + ) -> Awaitable[RawTestServer]: ... + + +def pytest_addoption(parser): # type: ignore[no-untyped-def] + parser.addoption( + "--aiohttp-fast", + action="store_true", + default=False, + help="run tests faster by disabling extra checks", + ) + parser.addoption( + "--aiohttp-loop", + action="store", + default="pyloop", + help="run tests with specific loop: pyloop, uvloop or all", + ) + parser.addoption( + "--aiohttp-enable-loop-debug", + action="store_true", + default=False, + help="enable event loop debug mode", + ) + + +def pytest_fixture_setup(fixturedef): # type: ignore[no-untyped-def] + """Set up pytest fixture. + + Allow fixtures to be coroutines. Run coroutine fixtures in an event loop. + """ + func = fixturedef.func + + if inspect.isasyncgenfunction(func): + # async generator fixture + is_async_gen = True + elif inspect.iscoroutinefunction(func): + # regular async fixture + is_async_gen = False + else: + # not an async fixture, nothing to do + return + + strip_request = False + if "request" not in fixturedef.argnames: + fixturedef.argnames += ("request",) + strip_request = True + + def wrapper(*args, **kwargs): # type: ignore[no-untyped-def] + request = kwargs["request"] + if strip_request: + del kwargs["request"] + + # if neither the fixture nor the test use the 'loop' fixture, + # 'getfixturevalue' will fail because the test is not parameterized + # (this can be removed someday if 'loop' is no longer parameterized) + if "loop" not in request.fixturenames: + raise Exception( + "Asynchronous fixtures must depend on the 'loop' fixture or " + "be used in tests depending from it." + ) + + _loop = request.getfixturevalue("loop") + + if is_async_gen: + # for async generators, we need to advance the generator once, + # then advance it again in a finalizer + gen = func(*args, **kwargs) + + def finalizer(): # type: ignore[no-untyped-def] + try: + return _loop.run_until_complete(gen.__anext__()) + except StopAsyncIteration: + pass + + request.addfinalizer(finalizer) + return _loop.run_until_complete(gen.__anext__()) + else: + return _loop.run_until_complete(func(*args, **kwargs)) + + fixturedef.func = wrapper + + +@pytest.fixture +def fast(request): # type: ignore[no-untyped-def] + """--fast config option""" + return request.config.getoption("--aiohttp-fast") + + +@pytest.fixture +def loop_debug(request): # type: ignore[no-untyped-def] + """--enable-loop-debug config option""" + return request.config.getoption("--aiohttp-enable-loop-debug") + + +@contextlib.contextmanager +def _runtime_warning_context(): # type: ignore[no-untyped-def] + """Context manager which checks for RuntimeWarnings. + + This exists specifically to + avoid "coroutine 'X' was never awaited" warnings being missed. + + If RuntimeWarnings occur in the context a RuntimeError is raised. + """ + with warnings.catch_warnings(record=True) as _warnings: + yield + rw = [ + "{w.filename}:{w.lineno}:{w.message}".format(w=w) + for w in _warnings + if w.category == RuntimeWarning + ] + if rw: + raise RuntimeError( + "{} Runtime Warning{},\n{}".format( + len(rw), "" if len(rw) == 1 else "s", "\n".join(rw) + ) + ) + + +@contextlib.contextmanager +def _passthrough_loop_context(loop, fast=False): # type: ignore[no-untyped-def] + """Passthrough loop context. + + Sets up and tears down a loop unless one is passed in via the loop + argument when it's passed straight through. + """ + if loop: + # loop already exists, pass it straight through + yield loop + else: + # this shadows loop_context's standard behavior + loop = setup_test_loop() + yield loop + teardown_test_loop(loop, fast=fast) + + +def pytest_pycollect_makeitem(collector, name, obj): # type: ignore[no-untyped-def] + """Fix pytest collecting for coroutines.""" + if collector.funcnamefilter(name) and inspect.iscoroutinefunction(obj): + return list(collector._genfunctions(name, obj)) + + +def pytest_pyfunc_call(pyfuncitem): # type: ignore[no-untyped-def] + """Run coroutines in an event loop instead of a normal function call.""" + fast = pyfuncitem.config.getoption("--aiohttp-fast") + if inspect.iscoroutinefunction(pyfuncitem.function): + existing_loop = ( + pyfuncitem.funcargs.get("proactor_loop") + or pyfuncitem.funcargs.get("selector_loop") + or pyfuncitem.funcargs.get("uvloop_loop") + or pyfuncitem.funcargs.get("loop", None) + ) + + with _runtime_warning_context(): + with _passthrough_loop_context(existing_loop, fast=fast) as _loop: + testargs = { + arg: pyfuncitem.funcargs[arg] + for arg in pyfuncitem._fixtureinfo.argnames + } + _loop.run_until_complete(pyfuncitem.obj(**testargs)) + + return True + + +def pytest_generate_tests(metafunc): # type: ignore[no-untyped-def] + if "loop_factory" not in metafunc.fixturenames: + return + + loops = metafunc.config.option.aiohttp_loop + avail_factories: dict[str, Callable[[], asyncio.AbstractEventLoop]] + avail_factories = {"pyloop": asyncio.new_event_loop} + + if uvloop is not None: # pragma: no cover + avail_factories["uvloop"] = uvloop.new_event_loop + + if loops == "all": + loops = "pyloop,uvloop?" + + factories = {} # type: ignore[var-annotated] + for name in loops.split(","): + required = not name.endswith("?") + name = name.strip(" ?") + if name not in avail_factories: # pragma: no cover + if required: + raise ValueError( + "Unknown loop '%s', available loops: %s" + % (name, list(factories.keys())) + ) + else: + continue + factories[name] = avail_factories[name] + metafunc.parametrize( + "loop_factory", list(factories.values()), ids=list(factories.keys()) + ) + + +@pytest.fixture +def loop( + loop_factory: Callable[[], asyncio.AbstractEventLoop], + fast: bool, + loop_debug: bool, +) -> Iterator[asyncio.AbstractEventLoop]: + """Return an instance of the event loop.""" + with loop_context(loop_factory, fast=fast) as _loop: + if loop_debug: + _loop.set_debug(True) # pragma: no cover + asyncio.set_event_loop(_loop) + yield _loop + + +@pytest.fixture +def proactor_loop() -> Iterator[asyncio.AbstractEventLoop]: + factory = asyncio.ProactorEventLoop # type: ignore[attr-defined] + + with loop_context(factory) as _loop: + asyncio.set_event_loop(_loop) + yield _loop + + +@pytest.fixture +def unused_port(aiohttp_unused_port: Callable[[], int]) -> Callable[[], int]: + warnings.warn( + "Deprecated, use aiohttp_unused_port fixture instead", + DeprecationWarning, + stacklevel=2, + ) + return aiohttp_unused_port + + +@pytest.fixture +def aiohttp_unused_port() -> Callable[[], int]: + """Return a port that is unused on the current host.""" + return _unused_port + + +@pytest.fixture +def aiohttp_server(loop: asyncio.AbstractEventLoop) -> Iterator[AiohttpServer]: + """Factory to create a TestServer instance, given an app. + + aiohttp_server(app, **kwargs) + """ + servers = [] + + async def go( + app: Application, + *, + host: str = "127.0.0.1", + port: Optional[int] = None, + **kwargs: Any, + ) -> TestServer: + server = TestServer(app, host=host, port=port) + await server.start_server(loop=loop, **kwargs) + servers.append(server) + return server + + yield go + + async def finalize() -> None: + while servers: + await servers.pop().close() + + loop.run_until_complete(finalize()) + + +@pytest.fixture +def test_server(aiohttp_server): # type: ignore[no-untyped-def] # pragma: no cover + warnings.warn( + "Deprecated, use aiohttp_server fixture instead", + DeprecationWarning, + stacklevel=2, + ) + return aiohttp_server + + +@pytest.fixture +def aiohttp_raw_server(loop: asyncio.AbstractEventLoop) -> Iterator[AiohttpRawServer]: + """Factory to create a RawTestServer instance, given a web handler. + + aiohttp_raw_server(handler, **kwargs) + """ + servers = [] + + async def go( + handler: _RequestHandler, *, port: Optional[int] = None, **kwargs: Any + ) -> RawTestServer: + server = RawTestServer(handler, port=port) + await server.start_server(loop=loop, **kwargs) + servers.append(server) + return server + + yield go + + async def finalize() -> None: + while servers: + await servers.pop().close() + + loop.run_until_complete(finalize()) + + +@pytest.fixture +def raw_test_server( # type: ignore[no-untyped-def] # pragma: no cover + aiohttp_raw_server, +): + warnings.warn( + "Deprecated, use aiohttp_raw_server fixture instead", + DeprecationWarning, + stacklevel=2, + ) + return aiohttp_raw_server + + +@pytest.fixture +def aiohttp_client(loop: asyncio.AbstractEventLoop) -> Iterator[AiohttpClient]: + """Factory to create a TestClient instance. + + aiohttp_client(app, **kwargs) + aiohttp_client(server, **kwargs) + aiohttp_client(raw_server, **kwargs) + """ + clients = [] + + @overload + async def go( + __param: Application, + *, + server_kwargs: Optional[Dict[str, Any]] = None, + **kwargs: Any, + ) -> TestClient[Request, Application]: ... + + @overload + async def go( + __param: BaseTestServer, + *, + server_kwargs: Optional[Dict[str, Any]] = None, + **kwargs: Any, + ) -> TestClient[BaseRequest, None]: ... + + async def go( + __param: Union[Application, BaseTestServer], + *args: Any, + server_kwargs: Optional[Dict[str, Any]] = None, + **kwargs: Any, + ) -> TestClient[Any, Any]: + if isinstance(__param, Callable) and not isinstance( # type: ignore[arg-type] + __param, (Application, BaseTestServer) + ): + __param = __param(loop, *args, **kwargs) + kwargs = {} + else: + assert not args, "args should be empty" + + if isinstance(__param, Application): + server_kwargs = server_kwargs or {} + server = TestServer(__param, loop=loop, **server_kwargs) + client = TestClient(server, loop=loop, **kwargs) + elif isinstance(__param, BaseTestServer): + client = TestClient(__param, loop=loop, **kwargs) + else: + raise ValueError("Unknown argument type: %r" % type(__param)) + + await client.start_server() + clients.append(client) + return client + + yield go + + async def finalize() -> None: + while clients: + await clients.pop().close() + + loop.run_until_complete(finalize()) + + +@pytest.fixture +def test_client(aiohttp_client): # type: ignore[no-untyped-def] # pragma: no cover + warnings.warn( + "Deprecated, use aiohttp_client fixture instead", + DeprecationWarning, + stacklevel=2, + ) + return aiohttp_client diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/resolver.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/resolver.py new file mode 100644 index 0000000000000000000000000000000000000000..b20e5672ce51a1aadd7768301a3a1c8eb6007bf4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/resolver.py @@ -0,0 +1,274 @@ +import asyncio +import socket +import weakref +from typing import Any, Dict, Final, List, Optional, Tuple, Type, Union + +from .abc import AbstractResolver, ResolveResult + +__all__ = ("ThreadedResolver", "AsyncResolver", "DefaultResolver") + + +try: + import aiodns + + aiodns_default = hasattr(aiodns.DNSResolver, "getaddrinfo") +except ImportError: # pragma: no cover + aiodns = None # type: ignore[assignment] + aiodns_default = False + + +_NUMERIC_SOCKET_FLAGS = socket.AI_NUMERICHOST | socket.AI_NUMERICSERV +_NAME_SOCKET_FLAGS = socket.NI_NUMERICHOST | socket.NI_NUMERICSERV +_AI_ADDRCONFIG = socket.AI_ADDRCONFIG +if hasattr(socket, "AI_MASK"): + _AI_ADDRCONFIG &= socket.AI_MASK + + +class ThreadedResolver(AbstractResolver): + """Threaded resolver. + + Uses an Executor for synchronous getaddrinfo() calls. + concurrent.futures.ThreadPoolExecutor is used by default. + """ + + def __init__(self, loop: Optional[asyncio.AbstractEventLoop] = None) -> None: + self._loop = loop or asyncio.get_running_loop() + + async def resolve( + self, host: str, port: int = 0, family: socket.AddressFamily = socket.AF_INET + ) -> List[ResolveResult]: + infos = await self._loop.getaddrinfo( + host, + port, + type=socket.SOCK_STREAM, + family=family, + flags=_AI_ADDRCONFIG, + ) + + hosts: List[ResolveResult] = [] + for family, _, proto, _, address in infos: + if family == socket.AF_INET6: + if len(address) < 3: + # IPv6 is not supported by Python build, + # or IPv6 is not enabled in the host + continue + if address[3]: + # This is essential for link-local IPv6 addresses. + # LL IPv6 is a VERY rare case. Strictly speaking, we should use + # getnameinfo() unconditionally, but performance makes sense. + resolved_host, _port = await self._loop.getnameinfo( + address, _NAME_SOCKET_FLAGS + ) + port = int(_port) + else: + resolved_host, port = address[:2] + else: # IPv4 + assert family == socket.AF_INET + resolved_host, port = address # type: ignore[misc] + hosts.append( + ResolveResult( + hostname=host, + host=resolved_host, + port=port, + family=family, + proto=proto, + flags=_NUMERIC_SOCKET_FLAGS, + ) + ) + + return hosts + + async def close(self) -> None: + pass + + +class AsyncResolver(AbstractResolver): + """Use the `aiodns` package to make asynchronous DNS lookups""" + + def __init__( + self, + loop: Optional[asyncio.AbstractEventLoop] = None, + *args: Any, + **kwargs: Any, + ) -> None: + if aiodns is None: + raise RuntimeError("Resolver requires aiodns library") + + self._loop = loop or asyncio.get_running_loop() + self._manager: Optional[_DNSResolverManager] = None + # If custom args are provided, create a dedicated resolver instance + # This means each AsyncResolver with custom args gets its own + # aiodns.DNSResolver instance + if args or kwargs: + self._resolver = aiodns.DNSResolver(*args, **kwargs) + return + # Use the shared resolver from the manager for default arguments + self._manager = _DNSResolverManager() + self._resolver = self._manager.get_resolver(self, self._loop) + + if not hasattr(self._resolver, "gethostbyname"): + # aiodns 1.1 is not available, fallback to DNSResolver.query + self.resolve = self._resolve_with_query # type: ignore + + async def resolve( + self, host: str, port: int = 0, family: socket.AddressFamily = socket.AF_INET + ) -> List[ResolveResult]: + try: + resp = await self._resolver.getaddrinfo( + host, + port=port, + type=socket.SOCK_STREAM, + family=family, + flags=_AI_ADDRCONFIG, + ) + except aiodns.error.DNSError as exc: + msg = exc.args[1] if len(exc.args) >= 1 else "DNS lookup failed" + raise OSError(None, msg) from exc + hosts: List[ResolveResult] = [] + for node in resp.nodes: + address: Union[Tuple[bytes, int], Tuple[bytes, int, int, int]] = node.addr + family = node.family + if family == socket.AF_INET6: + if len(address) > 3 and address[3]: + # This is essential for link-local IPv6 addresses. + # LL IPv6 is a VERY rare case. Strictly speaking, we should use + # getnameinfo() unconditionally, but performance makes sense. + result = await self._resolver.getnameinfo( + (address[0].decode("ascii"), *address[1:]), + _NAME_SOCKET_FLAGS, + ) + resolved_host = result.node + else: + resolved_host = address[0].decode("ascii") + port = address[1] + else: # IPv4 + assert family == socket.AF_INET + resolved_host = address[0].decode("ascii") + port = address[1] + hosts.append( + ResolveResult( + hostname=host, + host=resolved_host, + port=port, + family=family, + proto=0, + flags=_NUMERIC_SOCKET_FLAGS, + ) + ) + + if not hosts: + raise OSError(None, "DNS lookup failed") + + return hosts + + async def _resolve_with_query( + self, host: str, port: int = 0, family: int = socket.AF_INET + ) -> List[Dict[str, Any]]: + qtype: Final = "AAAA" if family == socket.AF_INET6 else "A" + + try: + resp = await self._resolver.query(host, qtype) + except aiodns.error.DNSError as exc: + msg = exc.args[1] if len(exc.args) >= 1 else "DNS lookup failed" + raise OSError(None, msg) from exc + + hosts = [] + for rr in resp: + hosts.append( + { + "hostname": host, + "host": rr.host, + "port": port, + "family": family, + "proto": 0, + "flags": socket.AI_NUMERICHOST, + } + ) + + if not hosts: + raise OSError(None, "DNS lookup failed") + + return hosts + + async def close(self) -> None: + if self._manager: + # Release the resolver from the manager if using the shared resolver + self._manager.release_resolver(self, self._loop) + self._manager = None # Clear reference to manager + self._resolver = None # type: ignore[assignment] # Clear reference to resolver + return + # Otherwise cancel our dedicated resolver + if self._resolver is not None: + self._resolver.cancel() + self._resolver = None # type: ignore[assignment] # Clear reference + + +class _DNSResolverManager: + """Manager for aiodns.DNSResolver objects. + + This class manages shared aiodns.DNSResolver instances + with no custom arguments across different event loops. + """ + + _instance: Optional["_DNSResolverManager"] = None + + def __new__(cls) -> "_DNSResolverManager": + if cls._instance is None: + cls._instance = super().__new__(cls) + cls._instance._init() + return cls._instance + + def _init(self) -> None: + # Use WeakKeyDictionary to allow event loops to be garbage collected + self._loop_data: weakref.WeakKeyDictionary[ + asyncio.AbstractEventLoop, + tuple["aiodns.DNSResolver", weakref.WeakSet["AsyncResolver"]], + ] = weakref.WeakKeyDictionary() + + def get_resolver( + self, client: "AsyncResolver", loop: asyncio.AbstractEventLoop + ) -> "aiodns.DNSResolver": + """Get or create the shared aiodns.DNSResolver instance for a specific event loop. + + Args: + client: The AsyncResolver instance requesting the resolver. + This is required to track resolver usage. + loop: The event loop to use for the resolver. + """ + # Create a new resolver and client set for this loop if it doesn't exist + if loop not in self._loop_data: + resolver = aiodns.DNSResolver(loop=loop) + client_set: weakref.WeakSet["AsyncResolver"] = weakref.WeakSet() + self._loop_data[loop] = (resolver, client_set) + else: + # Get the existing resolver and client set + resolver, client_set = self._loop_data[loop] + + # Register this client with the loop + client_set.add(client) + return resolver + + def release_resolver( + self, client: "AsyncResolver", loop: asyncio.AbstractEventLoop + ) -> None: + """Release the resolver for an AsyncResolver client when it's closed. + + Args: + client: The AsyncResolver instance to release. + loop: The event loop the resolver was using. + """ + # Remove client from its loop's tracking + current_loop_data = self._loop_data.get(loop) + if current_loop_data is None: + return + resolver, client_set = current_loop_data + client_set.discard(client) + # If no more clients for this loop, cancel and remove its resolver + if not client_set: + if resolver is not None: + resolver.cancel() + del self._loop_data[loop] + + +_DefaultType = Type[Union[AsyncResolver, ThreadedResolver]] +DefaultResolver: _DefaultType = AsyncResolver if aiodns_default else ThreadedResolver diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/streams.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/streams.py new file mode 100644 index 0000000000000000000000000000000000000000..6cc74fc9cbd5bcbc7e213b79cadd8d42b701a812 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/streams.py @@ -0,0 +1,758 @@ +import asyncio +import collections +import warnings +from typing import ( + Awaitable, + Callable, + Deque, + Final, + Generic, + List, + Optional, + Tuple, + TypeVar, +) + +from .base_protocol import BaseProtocol +from .helpers import ( + _EXC_SENTINEL, + BaseTimerContext, + TimerNoop, + set_exception, + set_result, +) +from .log import internal_logger + +__all__ = ( + "EMPTY_PAYLOAD", + "EofStream", + "StreamReader", + "DataQueue", +) + +_T = TypeVar("_T") + + +class EofStream(Exception): + """eof stream indication.""" + + +class AsyncStreamIterator(Generic[_T]): + + __slots__ = ("read_func",) + + def __init__(self, read_func: Callable[[], Awaitable[_T]]) -> None: + self.read_func = read_func + + def __aiter__(self) -> "AsyncStreamIterator[_T]": + return self + + async def __anext__(self) -> _T: + try: + rv = await self.read_func() + except EofStream: + raise StopAsyncIteration + if rv == b"": + raise StopAsyncIteration + return rv + + +class ChunkTupleAsyncStreamIterator: + + __slots__ = ("_stream",) + + def __init__(self, stream: "StreamReader") -> None: + self._stream = stream + + def __aiter__(self) -> "ChunkTupleAsyncStreamIterator": + return self + + async def __anext__(self) -> Tuple[bytes, bool]: + rv = await self._stream.readchunk() + if rv == (b"", False): + raise StopAsyncIteration + return rv + + +class AsyncStreamReaderMixin: + + __slots__ = () + + def __aiter__(self) -> AsyncStreamIterator[bytes]: + return AsyncStreamIterator(self.readline) # type: ignore[attr-defined] + + def iter_chunked(self, n: int) -> AsyncStreamIterator[bytes]: + """Returns an asynchronous iterator that yields chunks of size n.""" + return AsyncStreamIterator(lambda: self.read(n)) # type: ignore[attr-defined] + + def iter_any(self) -> AsyncStreamIterator[bytes]: + """Yield all available data as soon as it is received.""" + return AsyncStreamIterator(self.readany) # type: ignore[attr-defined] + + def iter_chunks(self) -> ChunkTupleAsyncStreamIterator: + """Yield chunks of data as they are received by the server. + + The yielded objects are tuples + of (bytes, bool) as returned by the StreamReader.readchunk method. + """ + return ChunkTupleAsyncStreamIterator(self) # type: ignore[arg-type] + + +class StreamReader(AsyncStreamReaderMixin): + """An enhancement of asyncio.StreamReader. + + Supports asynchronous iteration by line, chunk or as available:: + + async for line in reader: + ... + async for chunk in reader.iter_chunked(1024): + ... + async for slice in reader.iter_any(): + ... + + """ + + __slots__ = ( + "_protocol", + "_low_water", + "_high_water", + "_low_water_chunks", + "_high_water_chunks", + "_loop", + "_size", + "_cursor", + "_http_chunk_splits", + "_buffer", + "_buffer_offset", + "_eof", + "_waiter", + "_eof_waiter", + "_exception", + "_timer", + "_eof_callbacks", + "_eof_counter", + "total_bytes", + "total_compressed_bytes", + ) + + def __init__( + self, + protocol: BaseProtocol, + limit: int, + *, + timer: Optional[BaseTimerContext] = None, + loop: Optional[asyncio.AbstractEventLoop] = None, + ) -> None: + self._protocol = protocol + self._low_water = limit + self._high_water = limit * 2 + if loop is None: + loop = asyncio.get_event_loop() + # Ensure high_water_chunks >= 3 so it's always > low_water_chunks. + self._high_water_chunks = max(3, limit // 4) + # Use max(2, ...) because there's always at least 1 chunk split remaining + # (the current position), so we need low_water >= 2 to allow resume. + self._low_water_chunks = max(2, self._high_water_chunks // 2) + self._loop = loop + self._size = 0 + self._cursor = 0 + self._http_chunk_splits: Optional[Deque[int]] = None + self._buffer: Deque[bytes] = collections.deque() + self._buffer_offset = 0 + self._eof = False + self._waiter: Optional[asyncio.Future[None]] = None + self._eof_waiter: Optional[asyncio.Future[None]] = None + self._exception: Optional[BaseException] = None + self._timer = TimerNoop() if timer is None else timer + self._eof_callbacks: List[Callable[[], None]] = [] + self._eof_counter = 0 + self.total_bytes = 0 + self.total_compressed_bytes: Optional[int] = None + + def __repr__(self) -> str: + info = [self.__class__.__name__] + if self._size: + info.append("%d bytes" % self._size) + if self._eof: + info.append("eof") + if self._low_water != 2**16: # default limit + info.append("low=%d high=%d" % (self._low_water, self._high_water)) + if self._waiter: + info.append("w=%r" % self._waiter) + if self._exception: + info.append("e=%r" % self._exception) + return "<%s>" % " ".join(info) + + def get_read_buffer_limits(self) -> Tuple[int, int]: + return (self._low_water, self._high_water) + + def exception(self) -> Optional[BaseException]: + return self._exception + + def set_exception( + self, + exc: BaseException, + exc_cause: BaseException = _EXC_SENTINEL, + ) -> None: + self._exception = exc + self._eof_callbacks.clear() + + waiter = self._waiter + if waiter is not None: + self._waiter = None + set_exception(waiter, exc, exc_cause) + + waiter = self._eof_waiter + if waiter is not None: + self._eof_waiter = None + set_exception(waiter, exc, exc_cause) + + def on_eof(self, callback: Callable[[], None]) -> None: + if self._eof: + try: + callback() + except Exception: + internal_logger.exception("Exception in eof callback") + else: + self._eof_callbacks.append(callback) + + def feed_eof(self) -> None: + self._eof = True + + waiter = self._waiter + if waiter is not None: + self._waiter = None + set_result(waiter, None) + + waiter = self._eof_waiter + if waiter is not None: + self._eof_waiter = None + set_result(waiter, None) + + if self._protocol._reading_paused: + self._protocol.resume_reading() + + for cb in self._eof_callbacks: + try: + cb() + except Exception: + internal_logger.exception("Exception in eof callback") + + self._eof_callbacks.clear() + + def is_eof(self) -> bool: + """Return True if 'feed_eof' was called.""" + return self._eof + + def at_eof(self) -> bool: + """Return True if the buffer is empty and 'feed_eof' was called.""" + return self._eof and not self._buffer + + async def wait_eof(self) -> None: + if self._eof: + return + + assert self._eof_waiter is None + self._eof_waiter = self._loop.create_future() + try: + await self._eof_waiter + finally: + self._eof_waiter = None + + @property + def total_raw_bytes(self) -> int: + if self.total_compressed_bytes is None: + return self.total_bytes + return self.total_compressed_bytes + + def unread_data(self, data: bytes) -> None: + """rollback reading some data from stream, inserting it to buffer head.""" + warnings.warn( + "unread_data() is deprecated " + "and will be removed in future releases (#3260)", + DeprecationWarning, + stacklevel=2, + ) + if not data: + return + + if self._buffer_offset: + self._buffer[0] = self._buffer[0][self._buffer_offset :] + self._buffer_offset = 0 + self._size += len(data) + self._cursor -= len(data) + self._buffer.appendleft(data) + self._eof_counter = 0 + + # TODO: size is ignored, remove the param later + def feed_data(self, data: bytes, size: int = 0) -> None: + assert not self._eof, "feed_data after feed_eof" + + if not data: + return + + data_len = len(data) + self._size += data_len + self._buffer.append(data) + self.total_bytes += data_len + + waiter = self._waiter + if waiter is not None: + self._waiter = None + set_result(waiter, None) + + if self._size > self._high_water and not self._protocol._reading_paused: + self._protocol.pause_reading() + + def begin_http_chunk_receiving(self) -> None: + if self._http_chunk_splits is None: + if self.total_bytes: + raise RuntimeError( + "Called begin_http_chunk_receiving when some data was already fed" + ) + self._http_chunk_splits = collections.deque() + + def end_http_chunk_receiving(self) -> None: + if self._http_chunk_splits is None: + raise RuntimeError( + "Called end_chunk_receiving without calling " + "begin_chunk_receiving first" + ) + + # self._http_chunk_splits contains logical byte offsets from start of + # the body transfer. Each offset is the offset of the end of a chunk. + # "Logical" means bytes, accessible for a user. + # If no chunks containing logical data were received, current position + # is difinitely zero. + pos = self._http_chunk_splits[-1] if self._http_chunk_splits else 0 + + if self.total_bytes == pos: + # We should not add empty chunks here. So we check for that. + # Note, when chunked + gzip is used, we can receive a chunk + # of compressed data, but that data may not be enough for gzip FSM + # to yield any uncompressed data. That's why current position may + # not change after receiving a chunk. + return + + self._http_chunk_splits.append(self.total_bytes) + + # If we get too many small chunks before self._high_water is reached, then any + # .read() call becomes computationally expensive, and could block the event loop + # for too long, hence an additional self._high_water_chunks here. + if ( + len(self._http_chunk_splits) > self._high_water_chunks + and not self._protocol._reading_paused + ): + self._protocol.pause_reading() + + # wake up readchunk when end of http chunk received + waiter = self._waiter + if waiter is not None: + self._waiter = None + set_result(waiter, None) + + async def _wait(self, func_name: str) -> None: + if not self._protocol.connected: + raise RuntimeError("Connection closed.") + + # StreamReader uses a future to link the protocol feed_data() method + # to a read coroutine. Running two read coroutines at the same time + # would have an unexpected behaviour. It would not possible to know + # which coroutine would get the next data. + if self._waiter is not None: + raise RuntimeError( + "%s() called while another coroutine is " + "already waiting for incoming data" % func_name + ) + + waiter = self._waiter = self._loop.create_future() + try: + with self._timer: + await waiter + finally: + self._waiter = None + + async def readline(self) -> bytes: + return await self.readuntil() + + async def readuntil(self, separator: bytes = b"\n") -> bytes: + seplen = len(separator) + if seplen == 0: + raise ValueError("Separator should be at least one-byte string") + + if self._exception is not None: + raise self._exception + + chunk = b"" + chunk_size = 0 + not_enough = True + + while not_enough: + while self._buffer and not_enough: + offset = self._buffer_offset + ichar = self._buffer[0].find(separator, offset) + 1 + # Read from current offset to found separator or to the end. + data = self._read_nowait_chunk( + ichar - offset + seplen - 1 if ichar else -1 + ) + chunk += data + chunk_size += len(data) + if ichar: + not_enough = False + + if chunk_size > self._high_water: + raise ValueError("Chunk too big") + + if self._eof: + break + + if not_enough: + await self._wait("readuntil") + + return chunk + + async def read(self, n: int = -1) -> bytes: + if self._exception is not None: + raise self._exception + + # migration problem; with DataQueue you have to catch + # EofStream exception, so common way is to run payload.read() inside + # infinite loop. what can cause real infinite loop with StreamReader + # lets keep this code one major release. + if __debug__: + if self._eof and not self._buffer: + self._eof_counter = getattr(self, "_eof_counter", 0) + 1 + if self._eof_counter > 5: + internal_logger.warning( + "Multiple access to StreamReader in eof state, " + "might be infinite loop.", + stack_info=True, + ) + + if not n: + return b"" + + if n < 0: + # This used to just loop creating a new waiter hoping to + # collect everything in self._buffer, but that would + # deadlock if the subprocess sends more than self.limit + # bytes. So just call self.readany() until EOF. + blocks = [] + while True: + block = await self.readany() + if not block: + break + blocks.append(block) + return b"".join(blocks) + + # TODO: should be `if` instead of `while` + # because waiter maybe triggered on chunk end, + # without feeding any data + while not self._buffer and not self._eof: + await self._wait("read") + + return self._read_nowait(n) + + async def readany(self) -> bytes: + if self._exception is not None: + raise self._exception + + # TODO: should be `if` instead of `while` + # because waiter maybe triggered on chunk end, + # without feeding any data + while not self._buffer and not self._eof: + await self._wait("readany") + + return self._read_nowait(-1) + + async def readchunk(self) -> Tuple[bytes, bool]: + """Returns a tuple of (data, end_of_http_chunk). + + When chunked transfer + encoding is used, end_of_http_chunk is a boolean indicating if the end + of the data corresponds to the end of a HTTP chunk , otherwise it is + always False. + """ + while True: + if self._exception is not None: + raise self._exception + + while self._http_chunk_splits: + pos = self._http_chunk_splits.popleft() + if pos == self._cursor: + return (b"", True) + if pos > self._cursor: + return (self._read_nowait(pos - self._cursor), True) + internal_logger.warning( + "Skipping HTTP chunk end due to data " + "consumption beyond chunk boundary" + ) + + if self._buffer: + return (self._read_nowait_chunk(-1), False) + # return (self._read_nowait(-1), False) + + if self._eof: + # Special case for signifying EOF. + # (b'', True) is not a final return value actually. + return (b"", False) + + await self._wait("readchunk") + + async def readexactly(self, n: int) -> bytes: + if self._exception is not None: + raise self._exception + + blocks: List[bytes] = [] + while n > 0: + block = await self.read(n) + if not block: + partial = b"".join(blocks) + raise asyncio.IncompleteReadError(partial, len(partial) + n) + blocks.append(block) + n -= len(block) + + return b"".join(blocks) + + def read_nowait(self, n: int = -1) -> bytes: + # default was changed to be consistent with .read(-1) + # + # I believe the most users don't know about the method and + # they are not affected. + if self._exception is not None: + raise self._exception + + if self._waiter and not self._waiter.done(): + raise RuntimeError( + "Called while some coroutine is waiting for incoming data." + ) + + return self._read_nowait(n) + + def _read_nowait_chunk(self, n: int) -> bytes: + first_buffer = self._buffer[0] + offset = self._buffer_offset + if n != -1 and len(first_buffer) - offset > n: + data = first_buffer[offset : offset + n] + self._buffer_offset += n + + elif offset: + self._buffer.popleft() + data = first_buffer[offset:] + self._buffer_offset = 0 + + else: + data = self._buffer.popleft() + + data_len = len(data) + self._size -= data_len + self._cursor += data_len + + chunk_splits = self._http_chunk_splits + # Prevent memory leak: drop useless chunk splits + while chunk_splits and chunk_splits[0] < self._cursor: + chunk_splits.popleft() + + if ( + self._protocol._reading_paused + and self._size < self._low_water + and ( + self._http_chunk_splits is None + or len(self._http_chunk_splits) < self._low_water_chunks + ) + ): + self._protocol.resume_reading() + return data + + def _read_nowait(self, n: int) -> bytes: + """Read not more than n bytes, or whole buffer if n == -1""" + self._timer.assert_timeout() + + chunks = [] + while self._buffer: + chunk = self._read_nowait_chunk(n) + chunks.append(chunk) + if n != -1: + n -= len(chunk) + if n == 0: + break + + return b"".join(chunks) if chunks else b"" + + +class EmptyStreamReader(StreamReader): # lgtm [py/missing-call-to-init] + + __slots__ = ("_read_eof_chunk",) + + def __init__(self) -> None: + self._read_eof_chunk = False + self.total_bytes = 0 + + def __repr__(self) -> str: + return "<%s>" % self.__class__.__name__ + + def exception(self) -> Optional[BaseException]: + return None + + def set_exception( + self, + exc: BaseException, + exc_cause: BaseException = _EXC_SENTINEL, + ) -> None: + pass + + def on_eof(self, callback: Callable[[], None]) -> None: + try: + callback() + except Exception: + internal_logger.exception("Exception in eof callback") + + def feed_eof(self) -> None: + pass + + def is_eof(self) -> bool: + return True + + def at_eof(self) -> bool: + return True + + async def wait_eof(self) -> None: + return + + def feed_data(self, data: bytes, n: int = 0) -> None: + pass + + async def readline(self) -> bytes: + return b"" + + async def read(self, n: int = -1) -> bytes: + return b"" + + # TODO add async def readuntil + + async def readany(self) -> bytes: + return b"" + + async def readchunk(self) -> Tuple[bytes, bool]: + if not self._read_eof_chunk: + self._read_eof_chunk = True + return (b"", False) + + return (b"", True) + + async def readexactly(self, n: int) -> bytes: + raise asyncio.IncompleteReadError(b"", n) + + def read_nowait(self, n: int = -1) -> bytes: + return b"" + + +EMPTY_PAYLOAD: Final[StreamReader] = EmptyStreamReader() + + +class DataQueue(Generic[_T]): + """DataQueue is a general-purpose blocking queue with one reader.""" + + def __init__(self, loop: asyncio.AbstractEventLoop) -> None: + self._loop = loop + self._eof = False + self._waiter: Optional[asyncio.Future[None]] = None + self._exception: Optional[BaseException] = None + self._buffer: Deque[Tuple[_T, int]] = collections.deque() + + def __len__(self) -> int: + return len(self._buffer) + + def is_eof(self) -> bool: + return self._eof + + def at_eof(self) -> bool: + return self._eof and not self._buffer + + def exception(self) -> Optional[BaseException]: + return self._exception + + def set_exception( + self, + exc: BaseException, + exc_cause: BaseException = _EXC_SENTINEL, + ) -> None: + self._eof = True + self._exception = exc + if (waiter := self._waiter) is not None: + self._waiter = None + set_exception(waiter, exc, exc_cause) + + def feed_data(self, data: _T, size: int = 0) -> None: + self._buffer.append((data, size)) + if (waiter := self._waiter) is not None: + self._waiter = None + set_result(waiter, None) + + def feed_eof(self) -> None: + self._eof = True + if (waiter := self._waiter) is not None: + self._waiter = None + set_result(waiter, None) + + async def read(self) -> _T: + if not self._buffer and not self._eof: + assert not self._waiter + self._waiter = self._loop.create_future() + try: + await self._waiter + except (asyncio.CancelledError, asyncio.TimeoutError): + self._waiter = None + raise + if self._buffer: + data, _ = self._buffer.popleft() + return data + if self._exception is not None: + raise self._exception + raise EofStream + + def __aiter__(self) -> AsyncStreamIterator[_T]: + return AsyncStreamIterator(self.read) + + +class FlowControlDataQueue(DataQueue[_T]): + """FlowControlDataQueue resumes and pauses an underlying stream. + + It is a destination for parsed data. + + This class is deprecated and will be removed in version 4.0. + """ + + def __init__( + self, protocol: BaseProtocol, limit: int, *, loop: asyncio.AbstractEventLoop + ) -> None: + super().__init__(loop=loop) + self._size = 0 + self._protocol = protocol + self._limit = limit * 2 + + def feed_data(self, data: _T, size: int = 0) -> None: + super().feed_data(data, size) + self._size += size + + if self._size > self._limit and not self._protocol._reading_paused: + self._protocol.pause_reading() + + async def read(self) -> _T: + if not self._buffer and not self._eof: + assert not self._waiter + self._waiter = self._loop.create_future() + try: + await self._waiter + except (asyncio.CancelledError, asyncio.TimeoutError): + self._waiter = None + raise + if self._buffer: + data, size = self._buffer.popleft() + self._size -= size + if self._size < self._limit and self._protocol._reading_paused: + self._protocol.resume_reading() + return data + if self._exception is not None: + raise self._exception + raise EofStream diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/tcp_helpers.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/tcp_helpers.py new file mode 100644 index 0000000000000000000000000000000000000000..88b244223741ad2decb6cb612eae644fae88b2b2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/tcp_helpers.py @@ -0,0 +1,37 @@ +"""Helper methods to tune a TCP connection""" + +import asyncio +import socket +from contextlib import suppress +from typing import Optional # noqa + +__all__ = ("tcp_keepalive", "tcp_nodelay") + + +if hasattr(socket, "SO_KEEPALIVE"): + + def tcp_keepalive(transport: asyncio.Transport) -> None: + sock = transport.get_extra_info("socket") + if sock is not None: + sock.setsockopt(socket.SOL_SOCKET, socket.SO_KEEPALIVE, 1) + +else: + + def tcp_keepalive(transport: asyncio.Transport) -> None: # pragma: no cover + pass + + +def tcp_nodelay(transport: asyncio.Transport, value: bool) -> None: + sock = transport.get_extra_info("socket") + + if sock is None: + return + + if sock.family not in (socket.AF_INET, socket.AF_INET6): + return + + value = bool(value) + + # socket may be closed already, on windows OSError get raised + with suppress(OSError): + sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, value) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/test_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/test_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..87c31427867f90244c11c8440a5e1f47fc5a079f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/test_utils.py @@ -0,0 +1,774 @@ +"""Utilities shared by tests.""" + +import asyncio +import contextlib +import gc +import inspect +import ipaddress +import os +import socket +import sys +import warnings +from abc import ABC, abstractmethod +from types import TracebackType +from typing import ( + TYPE_CHECKING, + Any, + Callable, + Generic, + Iterator, + List, + Optional, + Type, + TypeVar, + cast, + overload, +) +from unittest import IsolatedAsyncioTestCase, mock + +from aiosignal import Signal +from multidict import CIMultiDict, CIMultiDictProxy +from yarl import URL + +import aiohttp +from aiohttp.client import ( + _RequestContextManager, + _RequestOptions, + _WSRequestContextManager, +) + +from . import ClientSession, hdrs +from .abc import AbstractCookieJar +from .client_reqrep import ClientResponse +from .client_ws import ClientWebSocketResponse +from .helpers import sentinel +from .http import HttpVersion, RawRequestMessage +from .streams import EMPTY_PAYLOAD, StreamReader +from .typedefs import StrOrURL +from .web import ( + Application, + AppRunner, + BaseRequest, + BaseRunner, + Request, + Server, + ServerRunner, + SockSite, + UrlMappingMatchInfo, +) +from .web_protocol import _RequestHandler + +if TYPE_CHECKING: + from ssl import SSLContext +else: + SSLContext = None + +if sys.version_info >= (3, 11) and TYPE_CHECKING: + from typing import Unpack + +if sys.version_info >= (3, 11): + from typing import Self +else: + Self = Any + +_ApplicationNone = TypeVar("_ApplicationNone", Application, None) +_Request = TypeVar("_Request", bound=BaseRequest) + +REUSE_ADDRESS = os.name == "posix" and sys.platform != "cygwin" + + +def get_unused_port_socket( + host: str, family: socket.AddressFamily = socket.AF_INET +) -> socket.socket: + return get_port_socket(host, 0, family) + + +def get_port_socket( + host: str, port: int, family: socket.AddressFamily +) -> socket.socket: + s = socket.socket(family, socket.SOCK_STREAM) + if REUSE_ADDRESS: + # Windows has different semantics for SO_REUSEADDR, + # so don't set it. Ref: + # https://docs.microsoft.com/en-us/windows/win32/winsock/using-so-reuseaddr-and-so-exclusiveaddruse + s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) + s.bind((host, port)) + return s + + +def unused_port() -> int: + """Return a port that is unused on the current host.""" + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + s.bind(("127.0.0.1", 0)) + return cast(int, s.getsockname()[1]) + + +class BaseTestServer(ABC): + __test__ = False + + def __init__( + self, + *, + scheme: str = "", + loop: Optional[asyncio.AbstractEventLoop] = None, + host: str = "127.0.0.1", + port: Optional[int] = None, + skip_url_asserts: bool = False, + socket_factory: Callable[ + [str, int, socket.AddressFamily], socket.socket + ] = get_port_socket, + **kwargs: Any, + ) -> None: + self._loop = loop + self.runner: Optional[BaseRunner] = None + self._root: Optional[URL] = None + self.host = host + self.port = port + self._closed = False + self.scheme = scheme + self.skip_url_asserts = skip_url_asserts + self.socket_factory = socket_factory + + async def start_server( + self, loop: Optional[asyncio.AbstractEventLoop] = None, **kwargs: Any + ) -> None: + if self.runner: + return + self._loop = loop + self._ssl = kwargs.pop("ssl", None) + self.runner = await self._make_runner(handler_cancellation=True, **kwargs) + await self.runner.setup() + if not self.port: + self.port = 0 + absolute_host = self.host + try: + version = ipaddress.ip_address(self.host).version + except ValueError: + version = 4 + if version == 6: + absolute_host = f"[{self.host}]" + family = socket.AF_INET6 if version == 6 else socket.AF_INET + _sock = self.socket_factory(self.host, self.port, family) + self.host, self.port = _sock.getsockname()[:2] + site = SockSite(self.runner, sock=_sock, ssl_context=self._ssl) + await site.start() + server = site._server + assert server is not None + sockets = server.sockets # type: ignore[attr-defined] + assert sockets is not None + self.port = sockets[0].getsockname()[1] + if not self.scheme: + self.scheme = "https" if self._ssl else "http" + self._root = URL(f"{self.scheme}://{absolute_host}:{self.port}") + + @abstractmethod # pragma: no cover + async def _make_runner(self, **kwargs: Any) -> BaseRunner: + pass + + def make_url(self, path: StrOrURL) -> URL: + assert self._root is not None + url = URL(path) + if not self.skip_url_asserts: + assert not url.absolute + return self._root.join(url) + else: + return URL(str(self._root) + str(path)) + + @property + def started(self) -> bool: + return self.runner is not None + + @property + def closed(self) -> bool: + return self._closed + + @property + def handler(self) -> Server: + # for backward compatibility + # web.Server instance + runner = self.runner + assert runner is not None + assert runner.server is not None + return runner.server + + async def close(self) -> None: + """Close all fixtures created by the test client. + + After that point, the TestClient is no longer usable. + + This is an idempotent function: running close multiple times + will not have any additional effects. + + close is also run when the object is garbage collected, and on + exit when used as a context manager. + + """ + if self.started and not self.closed: + assert self.runner is not None + await self.runner.cleanup() + self._root = None + self.port = None + self._closed = True + + def __enter__(self) -> None: + raise TypeError("Use async with instead") + + def __exit__( + self, + exc_type: Optional[Type[BaseException]], + exc_value: Optional[BaseException], + traceback: Optional[TracebackType], + ) -> None: + # __exit__ should exist in pair with __enter__ but never executed + pass # pragma: no cover + + async def __aenter__(self) -> "BaseTestServer": + await self.start_server(loop=self._loop) + return self + + async def __aexit__( + self, + exc_type: Optional[Type[BaseException]], + exc_value: Optional[BaseException], + traceback: Optional[TracebackType], + ) -> None: + await self.close() + + +class TestServer(BaseTestServer): + def __init__( + self, + app: Application, + *, + scheme: str = "", + host: str = "127.0.0.1", + port: Optional[int] = None, + **kwargs: Any, + ): + self.app = app + super().__init__(scheme=scheme, host=host, port=port, **kwargs) + + async def _make_runner(self, **kwargs: Any) -> BaseRunner: + return AppRunner(self.app, **kwargs) + + +class RawTestServer(BaseTestServer): + def __init__( + self, + handler: _RequestHandler, + *, + scheme: str = "", + host: str = "127.0.0.1", + port: Optional[int] = None, + **kwargs: Any, + ) -> None: + self._handler = handler + super().__init__(scheme=scheme, host=host, port=port, **kwargs) + + async def _make_runner(self, debug: bool = True, **kwargs: Any) -> ServerRunner: + srv = Server(self._handler, loop=self._loop, debug=debug, **kwargs) + return ServerRunner(srv, debug=debug, **kwargs) + + +class TestClient(Generic[_Request, _ApplicationNone]): + """ + A test client implementation. + + To write functional tests for aiohttp based servers. + + """ + + __test__ = False + + @overload + def __init__( + self: "TestClient[Request, Application]", + server: TestServer, + *, + cookie_jar: Optional[AbstractCookieJar] = None, + **kwargs: Any, + ) -> None: ... + @overload + def __init__( + self: "TestClient[_Request, None]", + server: BaseTestServer, + *, + cookie_jar: Optional[AbstractCookieJar] = None, + **kwargs: Any, + ) -> None: ... + def __init__( + self, + server: BaseTestServer, + *, + cookie_jar: Optional[AbstractCookieJar] = None, + loop: Optional[asyncio.AbstractEventLoop] = None, + **kwargs: Any, + ) -> None: + if not isinstance(server, BaseTestServer): + raise TypeError( + "server must be TestServer instance, found type: %r" % type(server) + ) + self._server = server + self._loop = loop + if cookie_jar is None: + cookie_jar = aiohttp.CookieJar(unsafe=True, loop=loop) + self._session = ClientSession(loop=loop, cookie_jar=cookie_jar, **kwargs) + self._session._retry_connection = False + self._closed = False + self._responses: List[ClientResponse] = [] + self._websockets: List[ClientWebSocketResponse] = [] + + async def start_server(self) -> None: + await self._server.start_server(loop=self._loop) + + @property + def host(self) -> str: + return self._server.host + + @property + def port(self) -> Optional[int]: + return self._server.port + + @property + def server(self) -> BaseTestServer: + return self._server + + @property + def app(self) -> _ApplicationNone: + return getattr(self._server, "app", None) # type: ignore[return-value] + + @property + def session(self) -> ClientSession: + """An internal aiohttp.ClientSession. + + Unlike the methods on the TestClient, client session requests + do not automatically include the host in the url queried, and + will require an absolute path to the resource. + + """ + return self._session + + def make_url(self, path: StrOrURL) -> URL: + return self._server.make_url(path) + + async def _request( + self, method: str, path: StrOrURL, **kwargs: Any + ) -> ClientResponse: + resp = await self._session.request(method, self.make_url(path), **kwargs) + # save it to close later + self._responses.append(resp) + return resp + + if sys.version_info >= (3, 11) and TYPE_CHECKING: + + def request( + self, method: str, path: StrOrURL, **kwargs: Unpack[_RequestOptions] + ) -> _RequestContextManager: ... + + def get( + self, + path: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> _RequestContextManager: ... + + def options( + self, + path: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> _RequestContextManager: ... + + def head( + self, + path: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> _RequestContextManager: ... + + def post( + self, + path: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> _RequestContextManager: ... + + def put( + self, + path: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> _RequestContextManager: ... + + def patch( + self, + path: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> _RequestContextManager: ... + + def delete( + self, + path: StrOrURL, + **kwargs: Unpack[_RequestOptions], + ) -> _RequestContextManager: ... + + else: + + def request( + self, method: str, path: StrOrURL, **kwargs: Any + ) -> _RequestContextManager: + """Routes a request to tested http server. + + The interface is identical to aiohttp.ClientSession.request, + except the loop kwarg is overridden by the instance used by the + test server. + + """ + return _RequestContextManager(self._request(method, path, **kwargs)) + + def get(self, path: StrOrURL, **kwargs: Any) -> _RequestContextManager: + """Perform an HTTP GET request.""" + return _RequestContextManager(self._request(hdrs.METH_GET, path, **kwargs)) + + def post(self, path: StrOrURL, **kwargs: Any) -> _RequestContextManager: + """Perform an HTTP POST request.""" + return _RequestContextManager(self._request(hdrs.METH_POST, path, **kwargs)) + + def options(self, path: StrOrURL, **kwargs: Any) -> _RequestContextManager: + """Perform an HTTP OPTIONS request.""" + return _RequestContextManager( + self._request(hdrs.METH_OPTIONS, path, **kwargs) + ) + + def head(self, path: StrOrURL, **kwargs: Any) -> _RequestContextManager: + """Perform an HTTP HEAD request.""" + return _RequestContextManager(self._request(hdrs.METH_HEAD, path, **kwargs)) + + def put(self, path: StrOrURL, **kwargs: Any) -> _RequestContextManager: + """Perform an HTTP PUT request.""" + return _RequestContextManager(self._request(hdrs.METH_PUT, path, **kwargs)) + + def patch(self, path: StrOrURL, **kwargs: Any) -> _RequestContextManager: + """Perform an HTTP PATCH request.""" + return _RequestContextManager( + self._request(hdrs.METH_PATCH, path, **kwargs) + ) + + def delete(self, path: StrOrURL, **kwargs: Any) -> _RequestContextManager: + """Perform an HTTP PATCH request.""" + return _RequestContextManager( + self._request(hdrs.METH_DELETE, path, **kwargs) + ) + + def ws_connect(self, path: StrOrURL, **kwargs: Any) -> _WSRequestContextManager: + """Initiate websocket connection. + + The api corresponds to aiohttp.ClientSession.ws_connect. + + """ + return _WSRequestContextManager(self._ws_connect(path, **kwargs)) + + async def _ws_connect( + self, path: StrOrURL, **kwargs: Any + ) -> ClientWebSocketResponse: + ws = await self._session.ws_connect(self.make_url(path), **kwargs) + self._websockets.append(ws) + return ws + + async def close(self) -> None: + """Close all fixtures created by the test client. + + After that point, the TestClient is no longer usable. + + This is an idempotent function: running close multiple times + will not have any additional effects. + + close is also run on exit when used as a(n) (asynchronous) + context manager. + + """ + if not self._closed: + for resp in self._responses: + resp.close() + for ws in self._websockets: + await ws.close() + await self._session.close() + await self._server.close() + self._closed = True + + def __enter__(self) -> None: + raise TypeError("Use async with instead") + + def __exit__( + self, + exc_type: Optional[Type[BaseException]], + exc: Optional[BaseException], + tb: Optional[TracebackType], + ) -> None: + # __exit__ should exist in pair with __enter__ but never executed + pass # pragma: no cover + + async def __aenter__(self) -> Self: + await self.start_server() + return self + + async def __aexit__( + self, + exc_type: Optional[Type[BaseException]], + exc: Optional[BaseException], + tb: Optional[TracebackType], + ) -> None: + await self.close() + + +class AioHTTPTestCase(IsolatedAsyncioTestCase): + """A base class to allow for unittest web applications using aiohttp. + + Provides the following: + + * self.client (aiohttp.test_utils.TestClient): an aiohttp test client. + * self.loop (asyncio.BaseEventLoop): the event loop in which the + application and server are running. + * self.app (aiohttp.web.Application): the application returned by + self.get_application() + + Note that the TestClient's methods are asynchronous: you have to + execute function on the test client using asynchronous methods. + """ + + async def get_application(self) -> Application: + """Get application. + + This method should be overridden + to return the aiohttp.web.Application + object to test. + """ + return self.get_app() + + def get_app(self) -> Application: + """Obsolete method used to constructing web application. + + Use .get_application() coroutine instead. + """ + raise RuntimeError("Did you forget to define get_application()?") + + async def asyncSetUp(self) -> None: + self.loop = asyncio.get_running_loop() + return await self.setUpAsync() + + async def setUpAsync(self) -> None: + self.app = await self.get_application() + self.server = await self.get_server(self.app) + self.client = await self.get_client(self.server) + + await self.client.start_server() + + async def asyncTearDown(self) -> None: + return await self.tearDownAsync() + + async def tearDownAsync(self) -> None: + await self.client.close() + + async def get_server(self, app: Application) -> TestServer: + """Return a TestServer instance.""" + return TestServer(app, loop=self.loop) + + async def get_client(self, server: TestServer) -> TestClient[Request, Application]: + """Return a TestClient instance.""" + return TestClient(server, loop=self.loop) + + +def unittest_run_loop(func: Any, *args: Any, **kwargs: Any) -> Any: + """ + A decorator dedicated to use with asynchronous AioHTTPTestCase test methods. + + In 3.8+, this does nothing. + """ + warnings.warn( + "Decorator `@unittest_run_loop` is no longer needed in aiohttp 3.8+", + DeprecationWarning, + stacklevel=2, + ) + return func + + +_LOOP_FACTORY = Callable[[], asyncio.AbstractEventLoop] + + +@contextlib.contextmanager +def loop_context( + loop_factory: _LOOP_FACTORY = asyncio.new_event_loop, fast: bool = False +) -> Iterator[asyncio.AbstractEventLoop]: + """A contextmanager that creates an event_loop, for test purposes. + + Handles the creation and cleanup of a test loop. + """ + loop = setup_test_loop(loop_factory) + yield loop + teardown_test_loop(loop, fast=fast) + + +def setup_test_loop( + loop_factory: _LOOP_FACTORY = asyncio.new_event_loop, +) -> asyncio.AbstractEventLoop: + """Create and return an asyncio.BaseEventLoop instance. + + The caller should also call teardown_test_loop, + once they are done with the loop. + """ + loop = loop_factory() + asyncio.set_event_loop(loop) + return loop + + +def teardown_test_loop(loop: asyncio.AbstractEventLoop, fast: bool = False) -> None: + """Teardown and cleanup an event_loop created by setup_test_loop.""" + closed = loop.is_closed() + if not closed: + loop.call_soon(loop.stop) + loop.run_forever() + loop.close() + + if not fast: + gc.collect() + + asyncio.set_event_loop(None) + + +def _create_app_mock() -> mock.MagicMock: + def get_dict(app: Any, key: str) -> Any: + return app.__app_dict[key] + + def set_dict(app: Any, key: str, value: Any) -> None: + app.__app_dict[key] = value + + app = mock.MagicMock(spec=Application) + app.__app_dict = {} + app.__getitem__ = get_dict + app.__setitem__ = set_dict + + app._debug = False + app.on_response_prepare = Signal(app) + app.on_response_prepare.freeze() + return app + + +def _create_transport(sslcontext: Optional[SSLContext] = None) -> mock.Mock: + transport = mock.Mock() + + def get_extra_info(key: str) -> Optional[SSLContext]: + if key == "sslcontext": + return sslcontext + else: + return None + + transport.get_extra_info.side_effect = get_extra_info + return transport + + +def make_mocked_request( + method: str, + path: str, + headers: Any = None, + *, + match_info: Any = sentinel, + version: HttpVersion = HttpVersion(1, 1), + closing: bool = False, + app: Any = None, + writer: Any = sentinel, + protocol: Any = sentinel, + transport: Any = sentinel, + payload: StreamReader = EMPTY_PAYLOAD, + sslcontext: Optional[SSLContext] = None, + client_max_size: int = 1024**2, + loop: Any = ..., +) -> Request: + """Creates mocked web.Request testing purposes. + + Useful in unit tests, when spinning full web server is overkill or + specific conditions and errors are hard to trigger. + """ + task = mock.Mock() + if loop is ...: + # no loop passed, try to get the current one if + # its is running as we need a real loop to create + # executor jobs to be able to do testing + # with a real executor + try: + loop = asyncio.get_running_loop() + except RuntimeError: + loop = mock.Mock() + loop.create_future.return_value = () + + if version < HttpVersion(1, 1): + closing = True + + if headers: + headers = CIMultiDictProxy(CIMultiDict(headers)) + raw_hdrs = tuple( + (k.encode("utf-8"), v.encode("utf-8")) for k, v in headers.items() + ) + else: + headers = CIMultiDictProxy(CIMultiDict()) + raw_hdrs = () + + chunked = "chunked" in headers.get(hdrs.TRANSFER_ENCODING, "").lower() + + message = RawRequestMessage( + method, + path, + version, + headers, + raw_hdrs, + closing, + None, + False, + chunked, + URL(path), + ) + if app is None: + app = _create_app_mock() + + if transport is sentinel: + transport = _create_transport(sslcontext) + + if protocol is sentinel: + protocol = mock.Mock() + protocol.transport = transport + type(protocol).peername = mock.PropertyMock( + return_value=transport.get_extra_info("peername") + ) + type(protocol).ssl_context = mock.PropertyMock(return_value=sslcontext) + + if writer is sentinel: + writer = mock.Mock() + writer.write_headers = make_mocked_coro(None) + writer.write = make_mocked_coro(None) + writer.write_eof = make_mocked_coro(None) + writer.drain = make_mocked_coro(None) + writer.transport = transport + + protocol.transport = transport + protocol.writer = writer + + req = Request( + message, payload, protocol, writer, task, loop, client_max_size=client_max_size + ) + + match_info = UrlMappingMatchInfo( + {} if match_info is sentinel else match_info, mock.Mock() + ) + match_info.add_app(app) + req._match_info = match_info + + return req + + +def make_mocked_coro( + return_value: Any = sentinel, raise_exception: Any = sentinel +) -> Any: + """Creates a coroutine mock.""" + + async def mock_coro(*args: Any, **kwargs: Any) -> Any: + if raise_exception is not sentinel: + raise raise_exception + if not inspect.isawaitable(return_value): + return return_value + await return_value + + return mock.Mock(wraps=mock_coro) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/tracing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/tracing.py new file mode 100644 index 0000000000000000000000000000000000000000..568fa7f9e38090e0c0a4738db4d51656ce31b99a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/tracing.py @@ -0,0 +1,455 @@ +from types import SimpleNamespace +from typing import TYPE_CHECKING, Mapping, Optional, Type, TypeVar + +import attr +from aiosignal import Signal +from multidict import CIMultiDict +from yarl import URL + +from .client_reqrep import ClientResponse + +if TYPE_CHECKING: + from .client import ClientSession + + _ParamT_contra = TypeVar("_ParamT_contra", contravariant=True) + _TracingSignal = Signal[ClientSession, SimpleNamespace, _ParamT_contra] + + +__all__ = ( + "TraceConfig", + "TraceRequestStartParams", + "TraceRequestEndParams", + "TraceRequestExceptionParams", + "TraceConnectionQueuedStartParams", + "TraceConnectionQueuedEndParams", + "TraceConnectionCreateStartParams", + "TraceConnectionCreateEndParams", + "TraceConnectionReuseconnParams", + "TraceDnsResolveHostStartParams", + "TraceDnsResolveHostEndParams", + "TraceDnsCacheHitParams", + "TraceDnsCacheMissParams", + "TraceRequestRedirectParams", + "TraceRequestChunkSentParams", + "TraceResponseChunkReceivedParams", + "TraceRequestHeadersSentParams", +) + + +class TraceConfig: + """First-class used to trace requests launched via ClientSession objects.""" + + def __init__( + self, trace_config_ctx_factory: Type[SimpleNamespace] = SimpleNamespace + ) -> None: + self._on_request_start: _TracingSignal[TraceRequestStartParams] = Signal(self) + self._on_request_chunk_sent: _TracingSignal[TraceRequestChunkSentParams] = ( + Signal(self) + ) + self._on_response_chunk_received: _TracingSignal[ + TraceResponseChunkReceivedParams + ] = Signal(self) + self._on_request_end: _TracingSignal[TraceRequestEndParams] = Signal(self) + self._on_request_exception: _TracingSignal[TraceRequestExceptionParams] = ( + Signal(self) + ) + self._on_request_redirect: _TracingSignal[TraceRequestRedirectParams] = Signal( + self + ) + self._on_connection_queued_start: _TracingSignal[ + TraceConnectionQueuedStartParams + ] = Signal(self) + self._on_connection_queued_end: _TracingSignal[ + TraceConnectionQueuedEndParams + ] = Signal(self) + self._on_connection_create_start: _TracingSignal[ + TraceConnectionCreateStartParams + ] = Signal(self) + self._on_connection_create_end: _TracingSignal[ + TraceConnectionCreateEndParams + ] = Signal(self) + self._on_connection_reuseconn: _TracingSignal[ + TraceConnectionReuseconnParams + ] = Signal(self) + self._on_dns_resolvehost_start: _TracingSignal[ + TraceDnsResolveHostStartParams + ] = Signal(self) + self._on_dns_resolvehost_end: _TracingSignal[TraceDnsResolveHostEndParams] = ( + Signal(self) + ) + self._on_dns_cache_hit: _TracingSignal[TraceDnsCacheHitParams] = Signal(self) + self._on_dns_cache_miss: _TracingSignal[TraceDnsCacheMissParams] = Signal(self) + self._on_request_headers_sent: _TracingSignal[TraceRequestHeadersSentParams] = ( + Signal(self) + ) + + self._trace_config_ctx_factory = trace_config_ctx_factory + + def trace_config_ctx( + self, trace_request_ctx: Optional[Mapping[str, str]] = None + ) -> SimpleNamespace: + """Return a new trace_config_ctx instance""" + return self._trace_config_ctx_factory(trace_request_ctx=trace_request_ctx) + + def freeze(self) -> None: + self._on_request_start.freeze() + self._on_request_chunk_sent.freeze() + self._on_response_chunk_received.freeze() + self._on_request_end.freeze() + self._on_request_exception.freeze() + self._on_request_redirect.freeze() + self._on_connection_queued_start.freeze() + self._on_connection_queued_end.freeze() + self._on_connection_create_start.freeze() + self._on_connection_create_end.freeze() + self._on_connection_reuseconn.freeze() + self._on_dns_resolvehost_start.freeze() + self._on_dns_resolvehost_end.freeze() + self._on_dns_cache_hit.freeze() + self._on_dns_cache_miss.freeze() + self._on_request_headers_sent.freeze() + + @property + def on_request_start(self) -> "_TracingSignal[TraceRequestStartParams]": + return self._on_request_start + + @property + def on_request_chunk_sent( + self, + ) -> "_TracingSignal[TraceRequestChunkSentParams]": + return self._on_request_chunk_sent + + @property + def on_response_chunk_received( + self, + ) -> "_TracingSignal[TraceResponseChunkReceivedParams]": + return self._on_response_chunk_received + + @property + def on_request_end(self) -> "_TracingSignal[TraceRequestEndParams]": + return self._on_request_end + + @property + def on_request_exception( + self, + ) -> "_TracingSignal[TraceRequestExceptionParams]": + return self._on_request_exception + + @property + def on_request_redirect( + self, + ) -> "_TracingSignal[TraceRequestRedirectParams]": + return self._on_request_redirect + + @property + def on_connection_queued_start( + self, + ) -> "_TracingSignal[TraceConnectionQueuedStartParams]": + return self._on_connection_queued_start + + @property + def on_connection_queued_end( + self, + ) -> "_TracingSignal[TraceConnectionQueuedEndParams]": + return self._on_connection_queued_end + + @property + def on_connection_create_start( + self, + ) -> "_TracingSignal[TraceConnectionCreateStartParams]": + return self._on_connection_create_start + + @property + def on_connection_create_end( + self, + ) -> "_TracingSignal[TraceConnectionCreateEndParams]": + return self._on_connection_create_end + + @property + def on_connection_reuseconn( + self, + ) -> "_TracingSignal[TraceConnectionReuseconnParams]": + return self._on_connection_reuseconn + + @property + def on_dns_resolvehost_start( + self, + ) -> "_TracingSignal[TraceDnsResolveHostStartParams]": + return self._on_dns_resolvehost_start + + @property + def on_dns_resolvehost_end( + self, + ) -> "_TracingSignal[TraceDnsResolveHostEndParams]": + return self._on_dns_resolvehost_end + + @property + def on_dns_cache_hit(self) -> "_TracingSignal[TraceDnsCacheHitParams]": + return self._on_dns_cache_hit + + @property + def on_dns_cache_miss(self) -> "_TracingSignal[TraceDnsCacheMissParams]": + return self._on_dns_cache_miss + + @property + def on_request_headers_sent( + self, + ) -> "_TracingSignal[TraceRequestHeadersSentParams]": + return self._on_request_headers_sent + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceRequestStartParams: + """Parameters sent by the `on_request_start` signal""" + + method: str + url: URL + headers: "CIMultiDict[str]" + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceRequestChunkSentParams: + """Parameters sent by the `on_request_chunk_sent` signal""" + + method: str + url: URL + chunk: bytes + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceResponseChunkReceivedParams: + """Parameters sent by the `on_response_chunk_received` signal""" + + method: str + url: URL + chunk: bytes + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceRequestEndParams: + """Parameters sent by the `on_request_end` signal""" + + method: str + url: URL + headers: "CIMultiDict[str]" + response: ClientResponse + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceRequestExceptionParams: + """Parameters sent by the `on_request_exception` signal""" + + method: str + url: URL + headers: "CIMultiDict[str]" + exception: BaseException + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceRequestRedirectParams: + """Parameters sent by the `on_request_redirect` signal""" + + method: str + url: URL + headers: "CIMultiDict[str]" + response: ClientResponse + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceConnectionQueuedStartParams: + """Parameters sent by the `on_connection_queued_start` signal""" + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceConnectionQueuedEndParams: + """Parameters sent by the `on_connection_queued_end` signal""" + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceConnectionCreateStartParams: + """Parameters sent by the `on_connection_create_start` signal""" + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceConnectionCreateEndParams: + """Parameters sent by the `on_connection_create_end` signal""" + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceConnectionReuseconnParams: + """Parameters sent by the `on_connection_reuseconn` signal""" + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceDnsResolveHostStartParams: + """Parameters sent by the `on_dns_resolvehost_start` signal""" + + host: str + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceDnsResolveHostEndParams: + """Parameters sent by the `on_dns_resolvehost_end` signal""" + + host: str + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceDnsCacheHitParams: + """Parameters sent by the `on_dns_cache_hit` signal""" + + host: str + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceDnsCacheMissParams: + """Parameters sent by the `on_dns_cache_miss` signal""" + + host: str + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class TraceRequestHeadersSentParams: + """Parameters sent by the `on_request_headers_sent` signal""" + + method: str + url: URL + headers: "CIMultiDict[str]" + + +class Trace: + """Internal dependency holder class. + + Used to keep together the main dependencies used + at the moment of send a signal. + """ + + def __init__( + self, + session: "ClientSession", + trace_config: TraceConfig, + trace_config_ctx: SimpleNamespace, + ) -> None: + self._trace_config = trace_config + self._trace_config_ctx = trace_config_ctx + self._session = session + + async def send_request_start( + self, method: str, url: URL, headers: "CIMultiDict[str]" + ) -> None: + return await self._trace_config.on_request_start.send( + self._session, + self._trace_config_ctx, + TraceRequestStartParams(method, url, headers), + ) + + async def send_request_chunk_sent( + self, method: str, url: URL, chunk: bytes + ) -> None: + return await self._trace_config.on_request_chunk_sent.send( + self._session, + self._trace_config_ctx, + TraceRequestChunkSentParams(method, url, chunk), + ) + + async def send_response_chunk_received( + self, method: str, url: URL, chunk: bytes + ) -> None: + return await self._trace_config.on_response_chunk_received.send( + self._session, + self._trace_config_ctx, + TraceResponseChunkReceivedParams(method, url, chunk), + ) + + async def send_request_end( + self, + method: str, + url: URL, + headers: "CIMultiDict[str]", + response: ClientResponse, + ) -> None: + return await self._trace_config.on_request_end.send( + self._session, + self._trace_config_ctx, + TraceRequestEndParams(method, url, headers, response), + ) + + async def send_request_exception( + self, + method: str, + url: URL, + headers: "CIMultiDict[str]", + exception: BaseException, + ) -> None: + return await self._trace_config.on_request_exception.send( + self._session, + self._trace_config_ctx, + TraceRequestExceptionParams(method, url, headers, exception), + ) + + async def send_request_redirect( + self, + method: str, + url: URL, + headers: "CIMultiDict[str]", + response: ClientResponse, + ) -> None: + return await self._trace_config._on_request_redirect.send( + self._session, + self._trace_config_ctx, + TraceRequestRedirectParams(method, url, headers, response), + ) + + async def send_connection_queued_start(self) -> None: + return await self._trace_config.on_connection_queued_start.send( + self._session, self._trace_config_ctx, TraceConnectionQueuedStartParams() + ) + + async def send_connection_queued_end(self) -> None: + return await self._trace_config.on_connection_queued_end.send( + self._session, self._trace_config_ctx, TraceConnectionQueuedEndParams() + ) + + async def send_connection_create_start(self) -> None: + return await self._trace_config.on_connection_create_start.send( + self._session, self._trace_config_ctx, TraceConnectionCreateStartParams() + ) + + async def send_connection_create_end(self) -> None: + return await self._trace_config.on_connection_create_end.send( + self._session, self._trace_config_ctx, TraceConnectionCreateEndParams() + ) + + async def send_connection_reuseconn(self) -> None: + return await self._trace_config.on_connection_reuseconn.send( + self._session, self._trace_config_ctx, TraceConnectionReuseconnParams() + ) + + async def send_dns_resolvehost_start(self, host: str) -> None: + return await self._trace_config.on_dns_resolvehost_start.send( + self._session, self._trace_config_ctx, TraceDnsResolveHostStartParams(host) + ) + + async def send_dns_resolvehost_end(self, host: str) -> None: + return await self._trace_config.on_dns_resolvehost_end.send( + self._session, self._trace_config_ctx, TraceDnsResolveHostEndParams(host) + ) + + async def send_dns_cache_hit(self, host: str) -> None: + return await self._trace_config.on_dns_cache_hit.send( + self._session, self._trace_config_ctx, TraceDnsCacheHitParams(host) + ) + + async def send_dns_cache_miss(self, host: str) -> None: + return await self._trace_config.on_dns_cache_miss.send( + self._session, self._trace_config_ctx, TraceDnsCacheMissParams(host) + ) + + async def send_request_headers( + self, method: str, url: URL, headers: "CIMultiDict[str]" + ) -> None: + return await self._trace_config._on_request_headers_sent.send( + self._session, + self._trace_config_ctx, + TraceRequestHeadersSentParams(method, url, headers), + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/typedefs.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/typedefs.py new file mode 100644 index 0000000000000000000000000000000000000000..cc8c0825b4e522f7d1b6cf0058564f322fb5a905 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/typedefs.py @@ -0,0 +1,69 @@ +import json +import os +from typing import ( + TYPE_CHECKING, + Any, + Awaitable, + Callable, + Iterable, + Mapping, + Protocol, + Tuple, + Union, +) + +from multidict import CIMultiDict, CIMultiDictProxy, MultiDict, MultiDictProxy, istr +from yarl import URL, Query as _Query + +Query = _Query + +DEFAULT_JSON_ENCODER = json.dumps +DEFAULT_JSON_DECODER = json.loads + +if TYPE_CHECKING: + _CIMultiDict = CIMultiDict[str] + _CIMultiDictProxy = CIMultiDictProxy[str] + _MultiDict = MultiDict[str] + _MultiDictProxy = MultiDictProxy[str] + from http.cookies import BaseCookie, Morsel + + from .web import Request, StreamResponse +else: + _CIMultiDict = CIMultiDict + _CIMultiDictProxy = CIMultiDictProxy + _MultiDict = MultiDict + _MultiDictProxy = MultiDictProxy + +Byteish = Union[bytes, bytearray, memoryview] +JSONEncoder = Callable[[Any], str] +JSONDecoder = Callable[[str], Any] +LooseHeaders = Union[ + Mapping[str, str], + Mapping[istr, str], + _CIMultiDict, + _CIMultiDictProxy, + Iterable[Tuple[Union[str, istr], str]], +] +RawHeaders = Tuple[Tuple[bytes, bytes], ...] +StrOrURL = Union[str, URL] + +LooseCookiesMappings = Mapping[str, Union[str, "BaseCookie[str]", "Morsel[Any]"]] +LooseCookiesIterables = Iterable[ + Tuple[str, Union[str, "BaseCookie[str]", "Morsel[Any]"]] +] +LooseCookies = Union[ + LooseCookiesMappings, + LooseCookiesIterables, + "BaseCookie[str]", +] + +Handler = Callable[["Request"], Awaitable["StreamResponse"]] + + +class Middleware(Protocol): + def __call__( + self, request: "Request", handler: Handler + ) -> Awaitable["StreamResponse"]: ... + + +PathLike = Union[str, "os.PathLike[str]"] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web.py new file mode 100644 index 0000000000000000000000000000000000000000..5a1fc964172be24b03ffaf3982ba6fccea7b6515 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web.py @@ -0,0 +1,592 @@ +import asyncio +import logging +import os +import socket +import sys +import warnings +from argparse import ArgumentParser +from collections.abc import Iterable +from contextlib import suppress +from importlib import import_module +from typing import ( + TYPE_CHECKING, + Any, + Awaitable, + Callable, + Iterable as TypingIterable, + List, + Optional, + Set, + Type, + Union, + cast, +) + +from .abc import AbstractAccessLogger +from .helpers import AppKey as AppKey +from .log import access_logger +from .typedefs import PathLike +from .web_app import Application as Application, CleanupError as CleanupError +from .web_exceptions import ( + HTTPAccepted as HTTPAccepted, + HTTPBadGateway as HTTPBadGateway, + HTTPBadRequest as HTTPBadRequest, + HTTPClientError as HTTPClientError, + HTTPConflict as HTTPConflict, + HTTPCreated as HTTPCreated, + HTTPError as HTTPError, + HTTPException as HTTPException, + HTTPExpectationFailed as HTTPExpectationFailed, + HTTPFailedDependency as HTTPFailedDependency, + HTTPForbidden as HTTPForbidden, + HTTPFound as HTTPFound, + HTTPGatewayTimeout as HTTPGatewayTimeout, + HTTPGone as HTTPGone, + HTTPInsufficientStorage as HTTPInsufficientStorage, + HTTPInternalServerError as HTTPInternalServerError, + HTTPLengthRequired as HTTPLengthRequired, + HTTPMethodNotAllowed as HTTPMethodNotAllowed, + HTTPMisdirectedRequest as HTTPMisdirectedRequest, + HTTPMove as HTTPMove, + HTTPMovedPermanently as HTTPMovedPermanently, + HTTPMultipleChoices as HTTPMultipleChoices, + HTTPNetworkAuthenticationRequired as HTTPNetworkAuthenticationRequired, + HTTPNoContent as HTTPNoContent, + HTTPNonAuthoritativeInformation as HTTPNonAuthoritativeInformation, + HTTPNotAcceptable as HTTPNotAcceptable, + HTTPNotExtended as HTTPNotExtended, + HTTPNotFound as HTTPNotFound, + HTTPNotImplemented as HTTPNotImplemented, + HTTPNotModified as HTTPNotModified, + HTTPOk as HTTPOk, + HTTPPartialContent as HTTPPartialContent, + HTTPPaymentRequired as HTTPPaymentRequired, + HTTPPermanentRedirect as HTTPPermanentRedirect, + HTTPPreconditionFailed as HTTPPreconditionFailed, + HTTPPreconditionRequired as HTTPPreconditionRequired, + HTTPProxyAuthenticationRequired as HTTPProxyAuthenticationRequired, + HTTPRedirection as HTTPRedirection, + HTTPRequestEntityTooLarge as HTTPRequestEntityTooLarge, + HTTPRequestHeaderFieldsTooLarge as HTTPRequestHeaderFieldsTooLarge, + HTTPRequestRangeNotSatisfiable as HTTPRequestRangeNotSatisfiable, + HTTPRequestTimeout as HTTPRequestTimeout, + HTTPRequestURITooLong as HTTPRequestURITooLong, + HTTPResetContent as HTTPResetContent, + HTTPSeeOther as HTTPSeeOther, + HTTPServerError as HTTPServerError, + HTTPServiceUnavailable as HTTPServiceUnavailable, + HTTPSuccessful as HTTPSuccessful, + HTTPTemporaryRedirect as HTTPTemporaryRedirect, + HTTPTooManyRequests as HTTPTooManyRequests, + HTTPUnauthorized as HTTPUnauthorized, + HTTPUnavailableForLegalReasons as HTTPUnavailableForLegalReasons, + HTTPUnprocessableEntity as HTTPUnprocessableEntity, + HTTPUnsupportedMediaType as HTTPUnsupportedMediaType, + HTTPUpgradeRequired as HTTPUpgradeRequired, + HTTPUseProxy as HTTPUseProxy, + HTTPVariantAlsoNegotiates as HTTPVariantAlsoNegotiates, + HTTPVersionNotSupported as HTTPVersionNotSupported, + NotAppKeyWarning as NotAppKeyWarning, +) +from .web_fileresponse import FileResponse as FileResponse +from .web_log import AccessLogger +from .web_middlewares import ( + middleware as middleware, + normalize_path_middleware as normalize_path_middleware, +) +from .web_protocol import ( + PayloadAccessError as PayloadAccessError, + RequestHandler as RequestHandler, + RequestPayloadError as RequestPayloadError, +) +from .web_request import ( + BaseRequest as BaseRequest, + FileField as FileField, + Request as Request, +) +from .web_response import ( + ContentCoding as ContentCoding, + Response as Response, + StreamResponse as StreamResponse, + json_response as json_response, +) +from .web_routedef import ( + AbstractRouteDef as AbstractRouteDef, + RouteDef as RouteDef, + RouteTableDef as RouteTableDef, + StaticDef as StaticDef, + delete as delete, + get as get, + head as head, + options as options, + patch as patch, + post as post, + put as put, + route as route, + static as static, + view as view, +) +from .web_runner import ( + AppRunner as AppRunner, + BaseRunner as BaseRunner, + BaseSite as BaseSite, + GracefulExit as GracefulExit, + NamedPipeSite as NamedPipeSite, + ServerRunner as ServerRunner, + SockSite as SockSite, + TCPSite as TCPSite, + UnixSite as UnixSite, +) +from .web_server import Server as Server +from .web_urldispatcher import ( + AbstractResource as AbstractResource, + AbstractRoute as AbstractRoute, + DynamicResource as DynamicResource, + PlainResource as PlainResource, + PrefixedSubAppResource as PrefixedSubAppResource, + Resource as Resource, + ResourceRoute as ResourceRoute, + StaticResource as StaticResource, + UrlDispatcher as UrlDispatcher, + UrlMappingMatchInfo as UrlMappingMatchInfo, + View as View, +) +from .web_ws import ( + WebSocketReady as WebSocketReady, + WebSocketResponse as WebSocketResponse, + WSMsgType as WSMsgType, +) + +__all__ = ( + # web_app + "AppKey", + "Application", + "CleanupError", + # web_exceptions + "NotAppKeyWarning", + "HTTPAccepted", + "HTTPBadGateway", + "HTTPBadRequest", + "HTTPClientError", + "HTTPConflict", + "HTTPCreated", + "HTTPError", + "HTTPException", + "HTTPExpectationFailed", + "HTTPFailedDependency", + "HTTPForbidden", + "HTTPFound", + "HTTPGatewayTimeout", + "HTTPGone", + "HTTPInsufficientStorage", + "HTTPInternalServerError", + "HTTPLengthRequired", + "HTTPMethodNotAllowed", + "HTTPMisdirectedRequest", + "HTTPMove", + "HTTPMovedPermanently", + "HTTPMultipleChoices", + "HTTPNetworkAuthenticationRequired", + "HTTPNoContent", + "HTTPNonAuthoritativeInformation", + "HTTPNotAcceptable", + "HTTPNotExtended", + "HTTPNotFound", + "HTTPNotImplemented", + "HTTPNotModified", + "HTTPOk", + "HTTPPartialContent", + "HTTPPaymentRequired", + "HTTPPermanentRedirect", + "HTTPPreconditionFailed", + "HTTPPreconditionRequired", + "HTTPProxyAuthenticationRequired", + "HTTPRedirection", + "HTTPRequestEntityTooLarge", + "HTTPRequestHeaderFieldsTooLarge", + "HTTPRequestRangeNotSatisfiable", + "HTTPRequestTimeout", + "HTTPRequestURITooLong", + "HTTPResetContent", + "HTTPSeeOther", + "HTTPServerError", + "HTTPServiceUnavailable", + "HTTPSuccessful", + "HTTPTemporaryRedirect", + "HTTPTooManyRequests", + "HTTPUnauthorized", + "HTTPUnavailableForLegalReasons", + "HTTPUnprocessableEntity", + "HTTPUnsupportedMediaType", + "HTTPUpgradeRequired", + "HTTPUseProxy", + "HTTPVariantAlsoNegotiates", + "HTTPVersionNotSupported", + # web_fileresponse + "FileResponse", + # web_middlewares + "middleware", + "normalize_path_middleware", + # web_protocol + "PayloadAccessError", + "RequestHandler", + "RequestPayloadError", + # web_request + "BaseRequest", + "FileField", + "Request", + # web_response + "ContentCoding", + "Response", + "StreamResponse", + "json_response", + # web_routedef + "AbstractRouteDef", + "RouteDef", + "RouteTableDef", + "StaticDef", + "delete", + "get", + "head", + "options", + "patch", + "post", + "put", + "route", + "static", + "view", + # web_runner + "AppRunner", + "BaseRunner", + "BaseSite", + "GracefulExit", + "ServerRunner", + "SockSite", + "TCPSite", + "UnixSite", + "NamedPipeSite", + # web_server + "Server", + # web_urldispatcher + "AbstractResource", + "AbstractRoute", + "DynamicResource", + "PlainResource", + "PrefixedSubAppResource", + "Resource", + "ResourceRoute", + "StaticResource", + "UrlDispatcher", + "UrlMappingMatchInfo", + "View", + # web_ws + "WebSocketReady", + "WebSocketResponse", + "WSMsgType", + # web + "run_app", +) + + +if TYPE_CHECKING: + from ssl import SSLContext +else: + try: + from ssl import SSLContext + except ImportError: # pragma: no cover + SSLContext = object # type: ignore[misc,assignment] + +# Only display warning when using -Wdefault, -We, -X dev or similar. +warnings.filterwarnings("ignore", category=NotAppKeyWarning, append=True) + +HostSequence = TypingIterable[str] + + +async def _run_app( + app: Union[Application, Awaitable[Application]], + *, + host: Optional[Union[str, HostSequence]] = None, + port: Optional[int] = None, + path: Union[PathLike, TypingIterable[PathLike], None] = None, + sock: Optional[Union[socket.socket, TypingIterable[socket.socket]]] = None, + ssl_context: Optional[SSLContext] = None, + print: Optional[Callable[..., None]] = print, + backlog: int = 128, + reuse_address: Optional[bool] = None, + reuse_port: Optional[bool] = None, + **kwargs: Any, # TODO(PY311): Use Unpack +) -> None: + # An internal function to actually do all dirty job for application running + if asyncio.iscoroutine(app): + app = await app + + app = cast(Application, app) + + runner = AppRunner(app, **kwargs) + + await runner.setup() + + sites: List[BaseSite] = [] + + try: + if host is not None: + if isinstance(host, str): + sites.append( + TCPSite( + runner, + host, + port, + ssl_context=ssl_context, + backlog=backlog, + reuse_address=reuse_address, + reuse_port=reuse_port, + ) + ) + else: + for h in host: + sites.append( + TCPSite( + runner, + h, + port, + ssl_context=ssl_context, + backlog=backlog, + reuse_address=reuse_address, + reuse_port=reuse_port, + ) + ) + elif path is None and sock is None or port is not None: + sites.append( + TCPSite( + runner, + port=port, + ssl_context=ssl_context, + backlog=backlog, + reuse_address=reuse_address, + reuse_port=reuse_port, + ) + ) + + if path is not None: + if isinstance(path, (str, os.PathLike)): + sites.append( + UnixSite( + runner, + path, + ssl_context=ssl_context, + backlog=backlog, + ) + ) + else: + for p in path: + sites.append( + UnixSite( + runner, + p, + ssl_context=ssl_context, + backlog=backlog, + ) + ) + + if sock is not None: + if not isinstance(sock, Iterable): + sites.append( + SockSite( + runner, + sock, + ssl_context=ssl_context, + backlog=backlog, + ) + ) + else: + for s in sock: + sites.append( + SockSite( + runner, + s, + ssl_context=ssl_context, + backlog=backlog, + ) + ) + for site in sites: + await site.start() + + if print: # pragma: no branch + names = sorted(str(s.name) for s in runner.sites) + print( + "======== Running on {} ========\n" + "(Press CTRL+C to quit)".format(", ".join(names)) + ) + + # sleep forever by 1 hour intervals, + while True: + await asyncio.sleep(3600) + finally: + await runner.cleanup() + + +def _cancel_tasks( + to_cancel: Set["asyncio.Task[Any]"], loop: asyncio.AbstractEventLoop +) -> None: + if not to_cancel: + return + + for task in to_cancel: + task.cancel() + + loop.run_until_complete(asyncio.gather(*to_cancel, return_exceptions=True)) + + for task in to_cancel: + if task.cancelled(): + continue + if task.exception() is not None: + loop.call_exception_handler( + { + "message": "unhandled exception during asyncio.run() shutdown", + "exception": task.exception(), + "task": task, + } + ) + + +def run_app( + app: Union[Application, Awaitable[Application]], + *, + host: Optional[Union[str, HostSequence]] = None, + port: Optional[int] = None, + path: Union[PathLike, TypingIterable[PathLike], None] = None, + sock: Optional[Union[socket.socket, TypingIterable[socket.socket]]] = None, + shutdown_timeout: float = 60.0, + keepalive_timeout: float = 75.0, + ssl_context: Optional[SSLContext] = None, + print: Optional[Callable[..., None]] = print, + backlog: int = 128, + access_log_class: Type[AbstractAccessLogger] = AccessLogger, + access_log_format: str = AccessLogger.LOG_FORMAT, + access_log: Optional[logging.Logger] = access_logger, + handle_signals: bool = True, + reuse_address: Optional[bool] = None, + reuse_port: Optional[bool] = None, + handler_cancellation: bool = False, + loop: Optional[asyncio.AbstractEventLoop] = None, + **kwargs: Any, +) -> None: + """Run an app locally""" + if loop is None: + loop = asyncio.new_event_loop() + + # Configure if and only if in debugging mode and using the default logger + if loop.get_debug() and access_log and access_log.name == "aiohttp.access": + if access_log.level == logging.NOTSET: + access_log.setLevel(logging.DEBUG) + if not access_log.hasHandlers(): + access_log.addHandler(logging.StreamHandler()) + + main_task = loop.create_task( + _run_app( + app, + host=host, + port=port, + path=path, + sock=sock, + shutdown_timeout=shutdown_timeout, + keepalive_timeout=keepalive_timeout, + ssl_context=ssl_context, + print=print, + backlog=backlog, + access_log_class=access_log_class, + access_log_format=access_log_format, + access_log=access_log, + handle_signals=handle_signals, + reuse_address=reuse_address, + reuse_port=reuse_port, + handler_cancellation=handler_cancellation, + **kwargs, + ) + ) + + try: + asyncio.set_event_loop(loop) + loop.run_until_complete(main_task) + except (GracefulExit, KeyboardInterrupt): # pragma: no cover + pass + finally: + try: + main_task.cancel() + with suppress(asyncio.CancelledError): + loop.run_until_complete(main_task) + finally: + _cancel_tasks(asyncio.all_tasks(loop), loop) + loop.run_until_complete(loop.shutdown_asyncgens()) + loop.close() + + +def main(argv: List[str]) -> None: + arg_parser = ArgumentParser( + description="aiohttp.web Application server", prog="aiohttp.web" + ) + arg_parser.add_argument( + "entry_func", + help=( + "Callable returning the `aiohttp.web.Application` instance to " + "run. Should be specified in the 'module:function' syntax." + ), + metavar="entry-func", + ) + arg_parser.add_argument( + "-H", + "--hostname", + help="TCP/IP hostname to serve on (default: localhost)", + default=None, + ) + arg_parser.add_argument( + "-P", + "--port", + help="TCP/IP port to serve on (default: %(default)r)", + type=int, + default=8080, + ) + arg_parser.add_argument( + "-U", + "--path", + help="Unix file system path to serve on. Can be combined with hostname " + "to serve on both Unix and TCP.", + ) + args, extra_argv = arg_parser.parse_known_args(argv) + + # Import logic + mod_str, _, func_str = args.entry_func.partition(":") + if not func_str or not mod_str: + arg_parser.error("'entry-func' not in 'module:function' syntax") + if mod_str.startswith("."): + arg_parser.error("relative module names not supported") + try: + module = import_module(mod_str) + except ImportError as ex: + arg_parser.error(f"unable to import {mod_str}: {ex}") + try: + func = getattr(module, func_str) + except AttributeError: + arg_parser.error(f"module {mod_str!r} has no attribute {func_str!r}") + + # Compatibility logic + if args.path is not None and not hasattr(socket, "AF_UNIX"): + arg_parser.error( + "file system paths not supported by your operating environment" + ) + + logging.basicConfig(level=logging.DEBUG) + + if args.path and args.hostname is None: + host = port = None + else: + host = args.hostname or "localhost" + port = args.port + + app = func(extra_argv) + run_app(app, host=host, port=port, path=args.path) + arg_parser.exit(message="Stopped\n") + + +if __name__ == "__main__": # pragma: no branch + main(sys.argv[1:]) # pragma: no cover diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_app.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_app.py new file mode 100644 index 0000000000000000000000000000000000000000..619c0085da1985b97f7e222d30c1870cb010a128 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_app.py @@ -0,0 +1,620 @@ +import asyncio +import logging +import warnings +from functools import lru_cache, partial, update_wrapper +from typing import ( + TYPE_CHECKING, + Any, + AsyncIterator, + Awaitable, + Callable, + Dict, + Iterable, + Iterator, + List, + Mapping, + MutableMapping, + Optional, + Sequence, + Tuple, + Type, + TypeVar, + Union, + cast, + overload, +) + +from aiosignal import Signal +from frozenlist import FrozenList + +from . import hdrs +from .abc import ( + AbstractAccessLogger, + AbstractMatchInfo, + AbstractRouter, + AbstractStreamWriter, +) +from .helpers import DEBUG, AppKey +from .http_parser import RawRequestMessage +from .log import web_logger +from .streams import StreamReader +from .typedefs import Handler, Middleware +from .web_exceptions import NotAppKeyWarning +from .web_log import AccessLogger +from .web_middlewares import _fix_request_current_app +from .web_protocol import RequestHandler +from .web_request import Request +from .web_response import StreamResponse +from .web_routedef import AbstractRouteDef +from .web_server import Server +from .web_urldispatcher import ( + AbstractResource, + AbstractRoute, + Domain, + MaskDomain, + MatchedSubAppResource, + PrefixedSubAppResource, + SystemRoute, + UrlDispatcher, +) + +__all__ = ("Application", "CleanupError") + + +if TYPE_CHECKING: + _AppSignal = Signal["Application"] + _RespPrepareSignal = Signal[Request, StreamResponse] + _Middlewares = FrozenList[Middleware] + _MiddlewaresHandlers = Optional[Sequence[Tuple[Middleware, bool]]] + _Subapps = List["Application"] +else: + # No type checker mode, skip types + _AppSignal = Signal + _RespPrepareSignal = Signal + _Middlewares = FrozenList + _MiddlewaresHandlers = Optional[Sequence] + _Subapps = List + +_T = TypeVar("_T") +_U = TypeVar("_U") +_Resource = TypeVar("_Resource", bound=AbstractResource) + + +def _build_middlewares( + handler: Handler, apps: Tuple["Application", ...] +) -> Callable[[Request], Awaitable[StreamResponse]]: + """Apply middlewares to handler.""" + for app in apps[::-1]: + for m, _ in app._middlewares_handlers: # type: ignore[union-attr] + handler = update_wrapper(partial(m, handler=handler), handler) + return handler + + +_cached_build_middleware = lru_cache(maxsize=1024)(_build_middlewares) + + +class Application(MutableMapping[Union[str, AppKey[Any]], Any]): + ATTRS = frozenset( + [ + "logger", + "_debug", + "_router", + "_loop", + "_handler_args", + "_middlewares", + "_middlewares_handlers", + "_has_legacy_middlewares", + "_run_middlewares", + "_state", + "_frozen", + "_pre_frozen", + "_subapps", + "_on_response_prepare", + "_on_startup", + "_on_shutdown", + "_on_cleanup", + "_client_max_size", + "_cleanup_ctx", + ] + ) + + def __init__( + self, + *, + logger: logging.Logger = web_logger, + router: Optional[UrlDispatcher] = None, + middlewares: Iterable[Middleware] = (), + handler_args: Optional[Mapping[str, Any]] = None, + client_max_size: int = 1024**2, + loop: Optional[asyncio.AbstractEventLoop] = None, + debug: Any = ..., # mypy doesn't support ellipsis + ) -> None: + if router is None: + router = UrlDispatcher() + else: + warnings.warn( + "router argument is deprecated", DeprecationWarning, stacklevel=2 + ) + assert isinstance(router, AbstractRouter), router + + if loop is not None: + warnings.warn( + "loop argument is deprecated", DeprecationWarning, stacklevel=2 + ) + + if debug is not ...: + warnings.warn( + "debug argument is deprecated", DeprecationWarning, stacklevel=2 + ) + self._debug = debug + self._router: UrlDispatcher = router + self._loop = loop + self._handler_args = handler_args + self.logger = logger + + self._middlewares: _Middlewares = FrozenList(middlewares) + + # initialized on freezing + self._middlewares_handlers: _MiddlewaresHandlers = None + # initialized on freezing + self._run_middlewares: Optional[bool] = None + self._has_legacy_middlewares: bool = True + + self._state: Dict[Union[AppKey[Any], str], object] = {} + self._frozen = False + self._pre_frozen = False + self._subapps: _Subapps = [] + + self._on_response_prepare: _RespPrepareSignal = Signal(self) + self._on_startup: _AppSignal = Signal(self) + self._on_shutdown: _AppSignal = Signal(self) + self._on_cleanup: _AppSignal = Signal(self) + self._cleanup_ctx = CleanupContext() + self._on_startup.append(self._cleanup_ctx._on_startup) + self._on_cleanup.append(self._cleanup_ctx._on_cleanup) + self._client_max_size = client_max_size + + def __init_subclass__(cls: Type["Application"]) -> None: + warnings.warn( + "Inheritance class {} from web.Application " + "is discouraged".format(cls.__name__), + DeprecationWarning, + stacklevel=3, + ) + + if DEBUG: # pragma: no cover + + def __setattr__(self, name: str, val: Any) -> None: + if name not in self.ATTRS: + warnings.warn( + "Setting custom web.Application.{} attribute " + "is discouraged".format(name), + DeprecationWarning, + stacklevel=2, + ) + super().__setattr__(name, val) + + # MutableMapping API + + def __eq__(self, other: object) -> bool: + return self is other + + @overload # type: ignore[override] + def __getitem__(self, key: AppKey[_T]) -> _T: ... + + @overload + def __getitem__(self, key: str) -> Any: ... + + def __getitem__(self, key: Union[str, AppKey[_T]]) -> Any: + return self._state[key] + + def _check_frozen(self) -> None: + if self._frozen: + warnings.warn( + "Changing state of started or joined application is deprecated", + DeprecationWarning, + stacklevel=3, + ) + + @overload # type: ignore[override] + def __setitem__(self, key: AppKey[_T], value: _T) -> None: ... + + @overload + def __setitem__(self, key: str, value: Any) -> None: ... + + def __setitem__(self, key: Union[str, AppKey[_T]], value: Any) -> None: + self._check_frozen() + if not isinstance(key, AppKey): + warnings.warn( + "It is recommended to use web.AppKey instances for keys.\n" + + "https://docs.aiohttp.org/en/stable/web_advanced.html" + + "#application-s-config", + category=NotAppKeyWarning, + stacklevel=2, + ) + self._state[key] = value + + def __delitem__(self, key: Union[str, AppKey[_T]]) -> None: + self._check_frozen() + del self._state[key] + + def __len__(self) -> int: + return len(self._state) + + def __iter__(self) -> Iterator[Union[str, AppKey[Any]]]: + return iter(self._state) + + def __hash__(self) -> int: + return id(self) + + @overload # type: ignore[override] + def get(self, key: AppKey[_T], default: None = ...) -> Optional[_T]: ... + + @overload + def get(self, key: AppKey[_T], default: _U) -> Union[_T, _U]: ... + + @overload + def get(self, key: str, default: Any = ...) -> Any: ... + + def get(self, key: Union[str, AppKey[_T]], default: Any = None) -> Any: + return self._state.get(key, default) + + ######## + @property + def loop(self) -> asyncio.AbstractEventLoop: + # Technically the loop can be None + # but we mask it by explicit type cast + # to provide more convenient type annotation + warnings.warn("loop property is deprecated", DeprecationWarning, stacklevel=2) + return cast(asyncio.AbstractEventLoop, self._loop) + + def _set_loop(self, loop: Optional[asyncio.AbstractEventLoop]) -> None: + if loop is None: + loop = asyncio.get_event_loop() + if self._loop is not None and self._loop is not loop: + raise RuntimeError( + "web.Application instance initialized with different loop" + ) + + self._loop = loop + + # set loop debug + if self._debug is ...: + self._debug = loop.get_debug() + + # set loop to sub applications + for subapp in self._subapps: + subapp._set_loop(loop) + + @property + def pre_frozen(self) -> bool: + return self._pre_frozen + + def pre_freeze(self) -> None: + if self._pre_frozen: + return + + self._pre_frozen = True + self._middlewares.freeze() + self._router.freeze() + self._on_response_prepare.freeze() + self._cleanup_ctx.freeze() + self._on_startup.freeze() + self._on_shutdown.freeze() + self._on_cleanup.freeze() + self._middlewares_handlers = tuple(self._prepare_middleware()) + self._has_legacy_middlewares = any( + not new_style for _, new_style in self._middlewares_handlers + ) + + # If current app and any subapp do not have middlewares avoid run all + # of the code footprint that it implies, which have a middleware + # hardcoded per app that sets up the current_app attribute. If no + # middlewares are configured the handler will receive the proper + # current_app without needing all of this code. + self._run_middlewares = True if self.middlewares else False + + for subapp in self._subapps: + subapp.pre_freeze() + self._run_middlewares = self._run_middlewares or subapp._run_middlewares + + @property + def frozen(self) -> bool: + return self._frozen + + def freeze(self) -> None: + if self._frozen: + return + + self.pre_freeze() + self._frozen = True + for subapp in self._subapps: + subapp.freeze() + + @property + def debug(self) -> bool: + warnings.warn("debug property is deprecated", DeprecationWarning, stacklevel=2) + return self._debug # type: ignore[no-any-return] + + def _reg_subapp_signals(self, subapp: "Application") -> None: + def reg_handler(signame: str) -> None: + subsig = getattr(subapp, signame) + + async def handler(app: "Application") -> None: + await subsig.send(subapp) + + appsig = getattr(self, signame) + appsig.append(handler) + + reg_handler("on_startup") + reg_handler("on_shutdown") + reg_handler("on_cleanup") + + def add_subapp(self, prefix: str, subapp: "Application") -> PrefixedSubAppResource: + if not isinstance(prefix, str): + raise TypeError("Prefix must be str") + prefix = prefix.rstrip("/") + if not prefix: + raise ValueError("Prefix cannot be empty") + factory = partial(PrefixedSubAppResource, prefix, subapp) + return self._add_subapp(factory, subapp) + + def _add_subapp( + self, resource_factory: Callable[[], _Resource], subapp: "Application" + ) -> _Resource: + if self.frozen: + raise RuntimeError("Cannot add sub application to frozen application") + if subapp.frozen: + raise RuntimeError("Cannot add frozen application") + resource = resource_factory() + self.router.register_resource(resource) + self._reg_subapp_signals(subapp) + self._subapps.append(subapp) + subapp.pre_freeze() + if self._loop is not None: + subapp._set_loop(self._loop) + return resource + + def add_domain(self, domain: str, subapp: "Application") -> MatchedSubAppResource: + if not isinstance(domain, str): + raise TypeError("Domain must be str") + elif "*" in domain: + rule: Domain = MaskDomain(domain) + else: + rule = Domain(domain) + factory = partial(MatchedSubAppResource, rule, subapp) + return self._add_subapp(factory, subapp) + + def add_routes(self, routes: Iterable[AbstractRouteDef]) -> List[AbstractRoute]: + return self.router.add_routes(routes) + + @property + def on_response_prepare(self) -> _RespPrepareSignal: + return self._on_response_prepare + + @property + def on_startup(self) -> _AppSignal: + return self._on_startup + + @property + def on_shutdown(self) -> _AppSignal: + return self._on_shutdown + + @property + def on_cleanup(self) -> _AppSignal: + return self._on_cleanup + + @property + def cleanup_ctx(self) -> "CleanupContext": + return self._cleanup_ctx + + @property + def router(self) -> UrlDispatcher: + return self._router + + @property + def middlewares(self) -> _Middlewares: + return self._middlewares + + def _make_handler( + self, + *, + loop: Optional[asyncio.AbstractEventLoop] = None, + access_log_class: Type[AbstractAccessLogger] = AccessLogger, + **kwargs: Any, + ) -> Server: + + if not issubclass(access_log_class, AbstractAccessLogger): + raise TypeError( + "access_log_class must be subclass of " + "aiohttp.abc.AbstractAccessLogger, got {}".format(access_log_class) + ) + + self._set_loop(loop) + self.freeze() + + kwargs["debug"] = self._debug + kwargs["access_log_class"] = access_log_class + if self._handler_args: + for k, v in self._handler_args.items(): + kwargs[k] = v + + return Server( + self._handle, # type: ignore[arg-type] + request_factory=self._make_request, + loop=self._loop, + **kwargs, + ) + + def make_handler( + self, + *, + loop: Optional[asyncio.AbstractEventLoop] = None, + access_log_class: Type[AbstractAccessLogger] = AccessLogger, + **kwargs: Any, + ) -> Server: + + warnings.warn( + "Application.make_handler(...) is deprecated, use AppRunner API instead", + DeprecationWarning, + stacklevel=2, + ) + + return self._make_handler( + loop=loop, access_log_class=access_log_class, **kwargs + ) + + async def startup(self) -> None: + """Causes on_startup signal + + Should be called in the event loop along with the request handler. + """ + await self.on_startup.send(self) + + async def shutdown(self) -> None: + """Causes on_shutdown signal + + Should be called before cleanup() + """ + await self.on_shutdown.send(self) + + async def cleanup(self) -> None: + """Causes on_cleanup signal + + Should be called after shutdown() + """ + if self.on_cleanup.frozen: + await self.on_cleanup.send(self) + else: + # If an exception occurs in startup, ensure cleanup contexts are completed. + await self._cleanup_ctx._on_cleanup(self) + + def _make_request( + self, + message: RawRequestMessage, + payload: StreamReader, + protocol: RequestHandler, + writer: AbstractStreamWriter, + task: "asyncio.Task[None]", + _cls: Type[Request] = Request, + ) -> Request: + if TYPE_CHECKING: + assert self._loop is not None + return _cls( + message, + payload, + protocol, + writer, + task, + self._loop, + client_max_size=self._client_max_size, + ) + + def _prepare_middleware(self) -> Iterator[Tuple[Middleware, bool]]: + for m in reversed(self._middlewares): + if getattr(m, "__middleware_version__", None) == 1: + yield m, True + else: + warnings.warn( + f'old-style middleware "{m!r}" deprecated, see #2252', + DeprecationWarning, + stacklevel=2, + ) + yield m, False + + yield _fix_request_current_app(self), True + + async def _handle(self, request: Request) -> StreamResponse: + loop = asyncio.get_event_loop() + debug = loop.get_debug() + match_info = await self._router.resolve(request) + if debug: # pragma: no cover + if not isinstance(match_info, AbstractMatchInfo): + raise TypeError( + "match_info should be AbstractMatchInfo " + "instance, not {!r}".format(match_info) + ) + match_info.add_app(self) + + match_info.freeze() + + request._match_info = match_info + + if request.headers.get(hdrs.EXPECT): + resp = await match_info.expect_handler(request) + await request.writer.drain() + if resp is not None: + return resp + + handler = match_info.handler + + if self._run_middlewares: + # If its a SystemRoute, don't cache building the middlewares since + # they are constructed for every MatchInfoError as a new handler + # is made each time. + if not self._has_legacy_middlewares and not isinstance( + match_info.route, SystemRoute + ): + handler = _cached_build_middleware(handler, match_info.apps) + else: + for app in match_info.apps[::-1]: + for m, new_style in app._middlewares_handlers: # type: ignore[union-attr] + if new_style: + handler = update_wrapper( + partial(m, handler=handler), handler + ) + else: + handler = await m(app, handler) # type: ignore[arg-type,assignment] + + return await handler(request) + + def __call__(self) -> "Application": + """gunicorn compatibility""" + return self + + def __repr__(self) -> str: + return f"" + + def __bool__(self) -> bool: + return True + + +class CleanupError(RuntimeError): + @property + def exceptions(self) -> List[BaseException]: + return cast(List[BaseException], self.args[1]) + + +if TYPE_CHECKING: + _CleanupContextBase = FrozenList[Callable[[Application], AsyncIterator[None]]] +else: + _CleanupContextBase = FrozenList + + +class CleanupContext(_CleanupContextBase): + def __init__(self) -> None: + super().__init__() + self._exits: List[AsyncIterator[None]] = [] + + async def _on_startup(self, app: Application) -> None: + for cb in self: + it = cb(app).__aiter__() + await it.__anext__() + self._exits.append(it) + + async def _on_cleanup(self, app: Application) -> None: + errors = [] + for it in reversed(self._exits): + try: + await it.__anext__() + except StopAsyncIteration: + pass + except (Exception, asyncio.CancelledError) as exc: + errors.append(exc) + else: + errors.append(RuntimeError(f"{it!r} has more than one 'yield'")) + if errors: + if len(errors) == 1: + raise errors[0] + else: + raise CleanupError("Multiple errors on cleanup stage", errors) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_exceptions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..ee2c1e72d40ac93c00cbfcef6c84888a336855a3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_exceptions.py @@ -0,0 +1,452 @@ +import warnings +from typing import Any, Dict, Iterable, List, Optional, Set # noqa + +from yarl import URL + +from .typedefs import LooseHeaders, StrOrURL +from .web_response import Response + +__all__ = ( + "HTTPException", + "HTTPError", + "HTTPRedirection", + "HTTPSuccessful", + "HTTPOk", + "HTTPCreated", + "HTTPAccepted", + "HTTPNonAuthoritativeInformation", + "HTTPNoContent", + "HTTPResetContent", + "HTTPPartialContent", + "HTTPMove", + "HTTPMultipleChoices", + "HTTPMovedPermanently", + "HTTPFound", + "HTTPSeeOther", + "HTTPNotModified", + "HTTPUseProxy", + "HTTPTemporaryRedirect", + "HTTPPermanentRedirect", + "HTTPClientError", + "HTTPBadRequest", + "HTTPUnauthorized", + "HTTPPaymentRequired", + "HTTPForbidden", + "HTTPNotFound", + "HTTPMethodNotAllowed", + "HTTPNotAcceptable", + "HTTPProxyAuthenticationRequired", + "HTTPRequestTimeout", + "HTTPConflict", + "HTTPGone", + "HTTPLengthRequired", + "HTTPPreconditionFailed", + "HTTPRequestEntityTooLarge", + "HTTPRequestURITooLong", + "HTTPUnsupportedMediaType", + "HTTPRequestRangeNotSatisfiable", + "HTTPExpectationFailed", + "HTTPMisdirectedRequest", + "HTTPUnprocessableEntity", + "HTTPFailedDependency", + "HTTPUpgradeRequired", + "HTTPPreconditionRequired", + "HTTPTooManyRequests", + "HTTPRequestHeaderFieldsTooLarge", + "HTTPUnavailableForLegalReasons", + "HTTPServerError", + "HTTPInternalServerError", + "HTTPNotImplemented", + "HTTPBadGateway", + "HTTPServiceUnavailable", + "HTTPGatewayTimeout", + "HTTPVersionNotSupported", + "HTTPVariantAlsoNegotiates", + "HTTPInsufficientStorage", + "HTTPNotExtended", + "HTTPNetworkAuthenticationRequired", +) + + +class NotAppKeyWarning(UserWarning): + """Warning when not using AppKey in Application.""" + + +############################################################ +# HTTP Exceptions +############################################################ + + +class HTTPException(Response, Exception): + + # You should set in subclasses: + # status = 200 + + status_code = -1 + empty_body = False + + __http_exception__ = True + + def __init__( + self, + *, + headers: Optional[LooseHeaders] = None, + reason: Optional[str] = None, + body: Any = None, + text: Optional[str] = None, + content_type: Optional[str] = None, + ) -> None: + if body is not None: + warnings.warn( + "body argument is deprecated for http web exceptions", + DeprecationWarning, + ) + Response.__init__( + self, + status=self.status_code, + headers=headers, + reason=reason, + body=body, + text=text, + content_type=content_type, + ) + Exception.__init__(self, self.reason) + if self.body is None and not self.empty_body: + self.text = f"{self.status}: {self.reason}" + + def __bool__(self) -> bool: + return True + + +class HTTPError(HTTPException): + """Base class for exceptions with status codes in the 400s and 500s.""" + + +class HTTPRedirection(HTTPException): + """Base class for exceptions with status codes in the 300s.""" + + +class HTTPSuccessful(HTTPException): + """Base class for exceptions with status codes in the 200s.""" + + +class HTTPOk(HTTPSuccessful): + status_code = 200 + + +class HTTPCreated(HTTPSuccessful): + status_code = 201 + + +class HTTPAccepted(HTTPSuccessful): + status_code = 202 + + +class HTTPNonAuthoritativeInformation(HTTPSuccessful): + status_code = 203 + + +class HTTPNoContent(HTTPSuccessful): + status_code = 204 + empty_body = True + + +class HTTPResetContent(HTTPSuccessful): + status_code = 205 + empty_body = True + + +class HTTPPartialContent(HTTPSuccessful): + status_code = 206 + + +############################################################ +# 3xx redirection +############################################################ + + +class HTTPMove(HTTPRedirection): + def __init__( + self, + location: StrOrURL, + *, + headers: Optional[LooseHeaders] = None, + reason: Optional[str] = None, + body: Any = None, + text: Optional[str] = None, + content_type: Optional[str] = None, + ) -> None: + if not location: + raise ValueError("HTTP redirects need a location to redirect to.") + super().__init__( + headers=headers, + reason=reason, + body=body, + text=text, + content_type=content_type, + ) + self.headers["Location"] = str(URL(location)) + self.location = location + + +class HTTPMultipleChoices(HTTPMove): + status_code = 300 + + +class HTTPMovedPermanently(HTTPMove): + status_code = 301 + + +class HTTPFound(HTTPMove): + status_code = 302 + + +# This one is safe after a POST (the redirected location will be +# retrieved with GET): +class HTTPSeeOther(HTTPMove): + status_code = 303 + + +class HTTPNotModified(HTTPRedirection): + # FIXME: this should include a date or etag header + status_code = 304 + empty_body = True + + +class HTTPUseProxy(HTTPMove): + # Not a move, but looks a little like one + status_code = 305 + + +class HTTPTemporaryRedirect(HTTPMove): + status_code = 307 + + +class HTTPPermanentRedirect(HTTPMove): + status_code = 308 + + +############################################################ +# 4xx client error +############################################################ + + +class HTTPClientError(HTTPError): + pass + + +class HTTPBadRequest(HTTPClientError): + status_code = 400 + + +class HTTPUnauthorized(HTTPClientError): + status_code = 401 + + +class HTTPPaymentRequired(HTTPClientError): + status_code = 402 + + +class HTTPForbidden(HTTPClientError): + status_code = 403 + + +class HTTPNotFound(HTTPClientError): + status_code = 404 + + +class HTTPMethodNotAllowed(HTTPClientError): + status_code = 405 + + def __init__( + self, + method: str, + allowed_methods: Iterable[str], + *, + headers: Optional[LooseHeaders] = None, + reason: Optional[str] = None, + body: Any = None, + text: Optional[str] = None, + content_type: Optional[str] = None, + ) -> None: + allow = ",".join(sorted(allowed_methods)) + super().__init__( + headers=headers, + reason=reason, + body=body, + text=text, + content_type=content_type, + ) + self.headers["Allow"] = allow + self.allowed_methods: Set[str] = set(allowed_methods) + self.method = method.upper() + + +class HTTPNotAcceptable(HTTPClientError): + status_code = 406 + + +class HTTPProxyAuthenticationRequired(HTTPClientError): + status_code = 407 + + +class HTTPRequestTimeout(HTTPClientError): + status_code = 408 + + +class HTTPConflict(HTTPClientError): + status_code = 409 + + +class HTTPGone(HTTPClientError): + status_code = 410 + + +class HTTPLengthRequired(HTTPClientError): + status_code = 411 + + +class HTTPPreconditionFailed(HTTPClientError): + status_code = 412 + + +class HTTPRequestEntityTooLarge(HTTPClientError): + status_code = 413 + + def __init__(self, max_size: float, actual_size: float, **kwargs: Any) -> None: + kwargs.setdefault( + "text", + "Maximum request body size {} exceeded, " + "actual body size {}".format(max_size, actual_size), + ) + super().__init__(**kwargs) + + +class HTTPRequestURITooLong(HTTPClientError): + status_code = 414 + + +class HTTPUnsupportedMediaType(HTTPClientError): + status_code = 415 + + +class HTTPRequestRangeNotSatisfiable(HTTPClientError): + status_code = 416 + + +class HTTPExpectationFailed(HTTPClientError): + status_code = 417 + + +class HTTPMisdirectedRequest(HTTPClientError): + status_code = 421 + + +class HTTPUnprocessableEntity(HTTPClientError): + status_code = 422 + + +class HTTPFailedDependency(HTTPClientError): + status_code = 424 + + +class HTTPUpgradeRequired(HTTPClientError): + status_code = 426 + + +class HTTPPreconditionRequired(HTTPClientError): + status_code = 428 + + +class HTTPTooManyRequests(HTTPClientError): + status_code = 429 + + +class HTTPRequestHeaderFieldsTooLarge(HTTPClientError): + status_code = 431 + + +class HTTPUnavailableForLegalReasons(HTTPClientError): + status_code = 451 + + def __init__( + self, + link: Optional[StrOrURL], + *, + headers: Optional[LooseHeaders] = None, + reason: Optional[str] = None, + body: Any = None, + text: Optional[str] = None, + content_type: Optional[str] = None, + ) -> None: + super().__init__( + headers=headers, + reason=reason, + body=body, + text=text, + content_type=content_type, + ) + self._link = None + if link: + self._link = URL(link) + self.headers["Link"] = f'<{str(self._link)}>; rel="blocked-by"' + + @property + def link(self) -> Optional[URL]: + return self._link + + +############################################################ +# 5xx Server Error +############################################################ +# Response status codes beginning with the digit "5" indicate cases in +# which the server is aware that it has erred or is incapable of +# performing the request. Except when responding to a HEAD request, the +# server SHOULD include an entity containing an explanation of the error +# situation, and whether it is a temporary or permanent condition. User +# agents SHOULD display any included entity to the user. These response +# codes are applicable to any request method. + + +class HTTPServerError(HTTPError): + pass + + +class HTTPInternalServerError(HTTPServerError): + status_code = 500 + + +class HTTPNotImplemented(HTTPServerError): + status_code = 501 + + +class HTTPBadGateway(HTTPServerError): + status_code = 502 + + +class HTTPServiceUnavailable(HTTPServerError): + status_code = 503 + + +class HTTPGatewayTimeout(HTTPServerError): + status_code = 504 + + +class HTTPVersionNotSupported(HTTPServerError): + status_code = 505 + + +class HTTPVariantAlsoNegotiates(HTTPServerError): + status_code = 506 + + +class HTTPInsufficientStorage(HTTPServerError): + status_code = 507 + + +class HTTPNotExtended(HTTPServerError): + status_code = 510 + + +class HTTPNetworkAuthenticationRequired(HTTPServerError): + status_code = 511 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_fileresponse.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_fileresponse.py new file mode 100644 index 0000000000000000000000000000000000000000..26484b9483a9e7e49e1975a2002535009755e133 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_fileresponse.py @@ -0,0 +1,418 @@ +import asyncio +import io +import os +import pathlib +import sys +from contextlib import suppress +from enum import Enum, auto +from mimetypes import MimeTypes +from stat import S_ISREG +from types import MappingProxyType +from typing import ( # noqa + IO, + TYPE_CHECKING, + Any, + Awaitable, + Callable, + Final, + Iterator, + List, + Optional, + Set, + Tuple, + Union, + cast, +) + +from . import hdrs +from .abc import AbstractStreamWriter +from .helpers import ETAG_ANY, ETag, must_be_empty_body +from .typedefs import LooseHeaders, PathLike +from .web_exceptions import ( + HTTPForbidden, + HTTPNotFound, + HTTPNotModified, + HTTPPartialContent, + HTTPPreconditionFailed, + HTTPRequestRangeNotSatisfiable, +) +from .web_response import StreamResponse + +__all__ = ("FileResponse",) + +if TYPE_CHECKING: + from .web_request import BaseRequest + + +_T_OnChunkSent = Optional[Callable[[bytes], Awaitable[None]]] + + +NOSENDFILE: Final[bool] = bool(os.environ.get("AIOHTTP_NOSENDFILE")) + +CONTENT_TYPES: Final[MimeTypes] = MimeTypes() + +# File extension to IANA encodings map that will be checked in the order defined. +ENCODING_EXTENSIONS = MappingProxyType( + {ext: CONTENT_TYPES.encodings_map[ext] for ext in (".br", ".gz")} +) + +FALLBACK_CONTENT_TYPE = "application/octet-stream" + +# Provide additional MIME type/extension pairs to be recognized. +# https://en.wikipedia.org/wiki/List_of_archive_formats#Compression_only +ADDITIONAL_CONTENT_TYPES = MappingProxyType( + { + "application/gzip": ".gz", + "application/x-brotli": ".br", + "application/x-bzip2": ".bz2", + "application/x-compress": ".Z", + "application/x-xz": ".xz", + } +) + + +class _FileResponseResult(Enum): + """The result of the file response.""" + + SEND_FILE = auto() # Ie a regular file to send + NOT_ACCEPTABLE = auto() # Ie a socket, or non-regular file + PRE_CONDITION_FAILED = auto() # Ie If-Match or If-None-Match failed + NOT_MODIFIED = auto() # 304 Not Modified + + +# Add custom pairs and clear the encodings map so guess_type ignores them. +CONTENT_TYPES.encodings_map.clear() +for content_type, extension in ADDITIONAL_CONTENT_TYPES.items(): + CONTENT_TYPES.add_type(content_type, extension) + + +_CLOSE_FUTURES: Set[asyncio.Future[None]] = set() + + +class FileResponse(StreamResponse): + """A response object can be used to send files.""" + + def __init__( + self, + path: PathLike, + chunk_size: int = 256 * 1024, + status: int = 200, + reason: Optional[str] = None, + headers: Optional[LooseHeaders] = None, + ) -> None: + super().__init__(status=status, reason=reason, headers=headers) + + self._path = pathlib.Path(path) + self._chunk_size = chunk_size + + def _seek_and_read(self, fobj: IO[Any], offset: int, chunk_size: int) -> bytes: + fobj.seek(offset) + return fobj.read(chunk_size) # type: ignore[no-any-return] + + async def _sendfile_fallback( + self, writer: AbstractStreamWriter, fobj: IO[Any], offset: int, count: int + ) -> AbstractStreamWriter: + # To keep memory usage low,fobj is transferred in chunks + # controlled by the constructor's chunk_size argument. + + chunk_size = self._chunk_size + loop = asyncio.get_event_loop() + chunk = await loop.run_in_executor( + None, self._seek_and_read, fobj, offset, chunk_size + ) + while chunk: + await writer.write(chunk) + count = count - chunk_size + if count <= 0: + break + chunk = await loop.run_in_executor(None, fobj.read, min(chunk_size, count)) + + await writer.drain() + return writer + + async def _sendfile( + self, request: "BaseRequest", fobj: IO[Any], offset: int, count: int + ) -> AbstractStreamWriter: + writer = await super().prepare(request) + assert writer is not None + + if NOSENDFILE or self.compression: + return await self._sendfile_fallback(writer, fobj, offset, count) + + loop = request._loop + transport = request.transport + assert transport is not None + + try: + await loop.sendfile(transport, fobj, offset, count) + except NotImplementedError: + return await self._sendfile_fallback(writer, fobj, offset, count) + + await super().write_eof() + return writer + + @staticmethod + def _etag_match(etag_value: str, etags: Tuple[ETag, ...], *, weak: bool) -> bool: + if len(etags) == 1 and etags[0].value == ETAG_ANY: + return True + return any( + etag.value == etag_value for etag in etags if weak or not etag.is_weak + ) + + async def _not_modified( + self, request: "BaseRequest", etag_value: str, last_modified: float + ) -> Optional[AbstractStreamWriter]: + self.set_status(HTTPNotModified.status_code) + self._length_check = False + self.etag = etag_value + self.last_modified = last_modified + # Delete any Content-Length headers provided by user. HTTP 304 + # should always have empty response body + return await super().prepare(request) + + async def _precondition_failed( + self, request: "BaseRequest" + ) -> Optional[AbstractStreamWriter]: + self.set_status(HTTPPreconditionFailed.status_code) + self.content_length = 0 + return await super().prepare(request) + + def _make_response( + self, request: "BaseRequest", accept_encoding: str + ) -> Tuple[ + _FileResponseResult, Optional[io.BufferedReader], os.stat_result, Optional[str] + ]: + """Return the response result, io object, stat result, and encoding. + + If an uncompressed file is returned, the encoding is set to + :py:data:`None`. + + This method should be called from a thread executor + since it calls os.stat which may block. + """ + file_path, st, file_encoding = self._get_file_path_stat_encoding( + accept_encoding + ) + if not file_path: + return _FileResponseResult.NOT_ACCEPTABLE, None, st, None + + etag_value = f"{st.st_mtime_ns:x}-{st.st_size:x}" + + # https://www.rfc-editor.org/rfc/rfc9110#section-13.1.1-2 + if (ifmatch := request.if_match) is not None and not self._etag_match( + etag_value, ifmatch, weak=False + ): + return _FileResponseResult.PRE_CONDITION_FAILED, None, st, file_encoding + + if ( + (unmodsince := request.if_unmodified_since) is not None + and ifmatch is None + and st.st_mtime > unmodsince.timestamp() + ): + return _FileResponseResult.PRE_CONDITION_FAILED, None, st, file_encoding + + # https://www.rfc-editor.org/rfc/rfc9110#section-13.1.2-2 + if (ifnonematch := request.if_none_match) is not None and self._etag_match( + etag_value, ifnonematch, weak=True + ): + return _FileResponseResult.NOT_MODIFIED, None, st, file_encoding + + if ( + (modsince := request.if_modified_since) is not None + and ifnonematch is None + and st.st_mtime <= modsince.timestamp() + ): + return _FileResponseResult.NOT_MODIFIED, None, st, file_encoding + + fobj = file_path.open("rb") + with suppress(OSError): + # fstat() may not be available on all platforms + # Once we open the file, we want the fstat() to ensure + # the file has not changed between the first stat() + # and the open(). + st = os.stat(fobj.fileno()) + return _FileResponseResult.SEND_FILE, fobj, st, file_encoding + + def _get_file_path_stat_encoding( + self, accept_encoding: str + ) -> Tuple[Optional[pathlib.Path], os.stat_result, Optional[str]]: + file_path = self._path + for file_extension, file_encoding in ENCODING_EXTENSIONS.items(): + if file_encoding not in accept_encoding: + continue + + compressed_path = file_path.with_suffix(file_path.suffix + file_extension) + with suppress(OSError): + # Do not follow symlinks and ignore any non-regular files. + st = compressed_path.lstat() + if S_ISREG(st.st_mode): + return compressed_path, st, file_encoding + + # Fallback to the uncompressed file + st = file_path.stat() + return file_path if S_ISREG(st.st_mode) else None, st, None + + async def prepare(self, request: "BaseRequest") -> Optional[AbstractStreamWriter]: + loop = asyncio.get_running_loop() + # Encoding comparisons should be case-insensitive + # https://www.rfc-editor.org/rfc/rfc9110#section-8.4.1 + accept_encoding = request.headers.get(hdrs.ACCEPT_ENCODING, "").lower() + try: + response_result, fobj, st, file_encoding = await loop.run_in_executor( + None, self._make_response, request, accept_encoding + ) + except PermissionError: + self.set_status(HTTPForbidden.status_code) + return await super().prepare(request) + except OSError: + # Most likely to be FileNotFoundError or OSError for circular + # symlinks in python >= 3.13, so respond with 404. + self.set_status(HTTPNotFound.status_code) + return await super().prepare(request) + + # Forbid special files like sockets, pipes, devices, etc. + if response_result is _FileResponseResult.NOT_ACCEPTABLE: + self.set_status(HTTPForbidden.status_code) + return await super().prepare(request) + + if response_result is _FileResponseResult.PRE_CONDITION_FAILED: + return await self._precondition_failed(request) + + if response_result is _FileResponseResult.NOT_MODIFIED: + etag_value = f"{st.st_mtime_ns:x}-{st.st_size:x}" + last_modified = st.st_mtime + return await self._not_modified(request, etag_value, last_modified) + + assert fobj is not None + try: + return await self._prepare_open_file(request, fobj, st, file_encoding) + finally: + # We do not await here because we do not want to wait + # for the executor to finish before returning the response + # so the connection can begin servicing another request + # as soon as possible. + close_future = loop.run_in_executor(None, fobj.close) + # Hold a strong reference to the future to prevent it from being + # garbage collected before it completes. + _CLOSE_FUTURES.add(close_future) + close_future.add_done_callback(_CLOSE_FUTURES.remove) + + async def _prepare_open_file( + self, + request: "BaseRequest", + fobj: io.BufferedReader, + st: os.stat_result, + file_encoding: Optional[str], + ) -> Optional[AbstractStreamWriter]: + status = self._status + file_size: int = st.st_size + file_mtime: float = st.st_mtime + count: int = file_size + start: Optional[int] = None + + if (ifrange := request.if_range) is None or file_mtime <= ifrange.timestamp(): + # If-Range header check: + # condition = cached date >= last modification date + # return 206 if True else 200. + # if False: + # Range header would not be processed, return 200 + # if True but Range header missing + # return 200 + try: + rng = request.http_range + start = rng.start + end: Optional[int] = rng.stop + except ValueError: + # https://tools.ietf.org/html/rfc7233: + # A server generating a 416 (Range Not Satisfiable) response to + # a byte-range request SHOULD send a Content-Range header field + # with an unsatisfied-range value. + # The complete-length in a 416 response indicates the current + # length of the selected representation. + # + # Will do the same below. Many servers ignore this and do not + # send a Content-Range header with HTTP 416 + self._headers[hdrs.CONTENT_RANGE] = f"bytes */{file_size}" + self.set_status(HTTPRequestRangeNotSatisfiable.status_code) + return await super().prepare(request) + + # If a range request has been made, convert start, end slice + # notation into file pointer offset and count + if start is not None: + if start < 0 and end is None: # return tail of file + start += file_size + if start < 0: + # if Range:bytes=-1000 in request header but file size + # is only 200, there would be trouble without this + start = 0 + count = file_size - start + else: + # rfc7233:If the last-byte-pos value is + # absent, or if the value is greater than or equal to + # the current length of the representation data, + # the byte range is interpreted as the remainder + # of the representation (i.e., the server replaces the + # value of last-byte-pos with a value that is one less than + # the current length of the selected representation). + count = ( + min(end if end is not None else file_size, file_size) - start + ) + + if start >= file_size: + # HTTP 416 should be returned in this case. + # + # According to https://tools.ietf.org/html/rfc7233: + # If a valid byte-range-set includes at least one + # byte-range-spec with a first-byte-pos that is less than + # the current length of the representation, or at least one + # suffix-byte-range-spec with a non-zero suffix-length, + # then the byte-range-set is satisfiable. Otherwise, the + # byte-range-set is unsatisfiable. + self._headers[hdrs.CONTENT_RANGE] = f"bytes */{file_size}" + self.set_status(HTTPRequestRangeNotSatisfiable.status_code) + return await super().prepare(request) + + status = HTTPPartialContent.status_code + # Even though you are sending the whole file, you should still + # return a HTTP 206 for a Range request. + self.set_status(status) + + # If the Content-Type header is not already set, guess it based on the + # extension of the request path. The encoding returned by guess_type + # can be ignored since the map was cleared above. + if hdrs.CONTENT_TYPE not in self._headers: + if sys.version_info >= (3, 13): + guesser = CONTENT_TYPES.guess_file_type + else: + guesser = CONTENT_TYPES.guess_type + self.content_type = guesser(self._path)[0] or FALLBACK_CONTENT_TYPE + + if file_encoding: + self._headers[hdrs.CONTENT_ENCODING] = file_encoding + self._headers[hdrs.VARY] = hdrs.ACCEPT_ENCODING + # Disable compression if we are already sending + # a compressed file since we don't want to double + # compress. + self._compression = False + + self.etag = f"{st.st_mtime_ns:x}-{st.st_size:x}" + self.last_modified = file_mtime + self.content_length = count + + self._headers[hdrs.ACCEPT_RANGES] = "bytes" + + if status == HTTPPartialContent.status_code: + real_start = start + assert real_start is not None + self._headers[hdrs.CONTENT_RANGE] = "bytes {}-{}/{}".format( + real_start, real_start + count - 1, file_size + ) + + # If we are sending 0 bytes calling sendfile() will throw a ValueError + if count == 0 or must_be_empty_body(request.method, status): + return await super().prepare(request) + + # be aware that start could be None or int=0 here. + offset = start or 0 + + return await self._sendfile(request, fobj, offset, count) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_log.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_log.py new file mode 100644 index 0000000000000000000000000000000000000000..d5ea2beeb152974ce5dd9f3e7990133ce04f7980 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_log.py @@ -0,0 +1,216 @@ +import datetime +import functools +import logging +import os +import re +import time as time_mod +from collections import namedtuple +from typing import Any, Callable, Dict, Iterable, List, Tuple # noqa + +from .abc import AbstractAccessLogger +from .web_request import BaseRequest +from .web_response import StreamResponse + +KeyMethod = namedtuple("KeyMethod", "key method") + + +class AccessLogger(AbstractAccessLogger): + """Helper object to log access. + + Usage: + log = logging.getLogger("spam") + log_format = "%a %{User-Agent}i" + access_logger = AccessLogger(log, log_format) + access_logger.log(request, response, time) + + Format: + %% The percent sign + %a Remote IP-address (IP-address of proxy if using reverse proxy) + %t Time when the request was started to process + %P The process ID of the child that serviced the request + %r First line of request + %s Response status code + %b Size of response in bytes, including HTTP headers + %T Time taken to serve the request, in seconds + %Tf Time taken to serve the request, in seconds with floating fraction + in .06f format + %D Time taken to serve the request, in microseconds + %{FOO}i request.headers['FOO'] + %{FOO}o response.headers['FOO'] + %{FOO}e os.environ['FOO'] + + """ + + LOG_FORMAT_MAP = { + "a": "remote_address", + "t": "request_start_time", + "P": "process_id", + "r": "first_request_line", + "s": "response_status", + "b": "response_size", + "T": "request_time", + "Tf": "request_time_frac", + "D": "request_time_micro", + "i": "request_header", + "o": "response_header", + } + + LOG_FORMAT = '%a %t "%r" %s %b "%{Referer}i" "%{User-Agent}i"' + FORMAT_RE = re.compile(r"%(\{([A-Za-z0-9\-_]+)\}([ioe])|[atPrsbOD]|Tf?)") + CLEANUP_RE = re.compile(r"(%[^s])") + _FORMAT_CACHE: Dict[str, Tuple[str, List[KeyMethod]]] = {} + + def __init__(self, logger: logging.Logger, log_format: str = LOG_FORMAT) -> None: + """Initialise the logger. + + logger is a logger object to be used for logging. + log_format is a string with apache compatible log format description. + + """ + super().__init__(logger, log_format=log_format) + + _compiled_format = AccessLogger._FORMAT_CACHE.get(log_format) + if not _compiled_format: + _compiled_format = self.compile_format(log_format) + AccessLogger._FORMAT_CACHE[log_format] = _compiled_format + + self._log_format, self._methods = _compiled_format + + def compile_format(self, log_format: str) -> Tuple[str, List[KeyMethod]]: + """Translate log_format into form usable by modulo formatting + + All known atoms will be replaced with %s + Also methods for formatting of those atoms will be added to + _methods in appropriate order + + For example we have log_format = "%a %t" + This format will be translated to "%s %s" + Also contents of _methods will be + [self._format_a, self._format_t] + These method will be called and results will be passed + to translated string format. + + Each _format_* method receive 'args' which is list of arguments + given to self.log + + Exceptions are _format_e, _format_i and _format_o methods which + also receive key name (by functools.partial) + + """ + # list of (key, method) tuples, we don't use an OrderedDict as users + # can repeat the same key more than once + methods = list() + + for atom in self.FORMAT_RE.findall(log_format): + if atom[1] == "": + format_key1 = self.LOG_FORMAT_MAP[atom[0]] + m = getattr(AccessLogger, "_format_%s" % atom[0]) + key_method = KeyMethod(format_key1, m) + else: + format_key2 = (self.LOG_FORMAT_MAP[atom[2]], atom[1]) + m = getattr(AccessLogger, "_format_%s" % atom[2]) + key_method = KeyMethod(format_key2, functools.partial(m, atom[1])) + + methods.append(key_method) + + log_format = self.FORMAT_RE.sub(r"%s", log_format) + log_format = self.CLEANUP_RE.sub(r"%\1", log_format) + return log_format, methods + + @staticmethod + def _format_i( + key: str, request: BaseRequest, response: StreamResponse, time: float + ) -> str: + if request is None: + return "(no headers)" + + # suboptimal, make istr(key) once + return request.headers.get(key, "-") + + @staticmethod + def _format_o( + key: str, request: BaseRequest, response: StreamResponse, time: float + ) -> str: + # suboptimal, make istr(key) once + return response.headers.get(key, "-") + + @staticmethod + def _format_a(request: BaseRequest, response: StreamResponse, time: float) -> str: + if request is None: + return "-" + ip = request.remote + return ip if ip is not None else "-" + + @staticmethod + def _format_t(request: BaseRequest, response: StreamResponse, time: float) -> str: + tz = datetime.timezone(datetime.timedelta(seconds=-time_mod.timezone)) + now = datetime.datetime.now(tz) + start_time = now - datetime.timedelta(seconds=time) + return start_time.strftime("[%d/%b/%Y:%H:%M:%S %z]") + + @staticmethod + def _format_P(request: BaseRequest, response: StreamResponse, time: float) -> str: + return "<%s>" % os.getpid() + + @staticmethod + def _format_r(request: BaseRequest, response: StreamResponse, time: float) -> str: + if request is None: + return "-" + return "{} {} HTTP/{}.{}".format( + request.method, + request.path_qs, + request.version.major, + request.version.minor, + ) + + @staticmethod + def _format_s(request: BaseRequest, response: StreamResponse, time: float) -> int: + return response.status + + @staticmethod + def _format_b(request: BaseRequest, response: StreamResponse, time: float) -> int: + return response.body_length + + @staticmethod + def _format_T(request: BaseRequest, response: StreamResponse, time: float) -> str: + return str(round(time)) + + @staticmethod + def _format_Tf(request: BaseRequest, response: StreamResponse, time: float) -> str: + return "%06f" % time + + @staticmethod + def _format_D(request: BaseRequest, response: StreamResponse, time: float) -> str: + return str(round(time * 1000000)) + + def _format_line( + self, request: BaseRequest, response: StreamResponse, time: float + ) -> Iterable[Tuple[str, Callable[[BaseRequest, StreamResponse, float], str]]]: + return [(key, method(request, response, time)) for key, method in self._methods] + + @property + def enabled(self) -> bool: + """Check if logger is enabled.""" + # Avoid formatting the log line if it will not be emitted. + return self.logger.isEnabledFor(logging.INFO) + + def log(self, request: BaseRequest, response: StreamResponse, time: float) -> None: + try: + fmt_info = self._format_line(request, response, time) + + values = list() + extra = dict() + for key, value in fmt_info: + values.append(value) + + if key.__class__ is str: + extra[key] = value + else: + k1, k2 = key # type: ignore[misc] + dct = extra.get(k1, {}) # type: ignore[var-annotated,has-type] + dct[k2] = value # type: ignore[index,has-type] + extra[k1] = dct # type: ignore[has-type,assignment] + + self.logger.info(self._log_format % tuple(values), extra=extra) + except Exception: + self.logger.exception("Error in logging") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_middlewares.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_middlewares.py new file mode 100644 index 0000000000000000000000000000000000000000..2f1f5f58e6e38845d4d2d4ffdd2748fc519fa5bf --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_middlewares.py @@ -0,0 +1,121 @@ +import re +from typing import TYPE_CHECKING, Tuple, Type, TypeVar + +from .typedefs import Handler, Middleware +from .web_exceptions import HTTPMove, HTTPPermanentRedirect +from .web_request import Request +from .web_response import StreamResponse +from .web_urldispatcher import SystemRoute + +__all__ = ( + "middleware", + "normalize_path_middleware", +) + +if TYPE_CHECKING: + from .web_app import Application + +_Func = TypeVar("_Func") + + +async def _check_request_resolves(request: Request, path: str) -> Tuple[bool, Request]: + alt_request = request.clone(rel_url=path) + + match_info = await request.app.router.resolve(alt_request) + alt_request._match_info = match_info + + if match_info.http_exception is None: + return True, alt_request + + return False, request + + +def middleware(f: _Func) -> _Func: + f.__middleware_version__ = 1 # type: ignore[attr-defined] + return f + + +def normalize_path_middleware( + *, + append_slash: bool = True, + remove_slash: bool = False, + merge_slashes: bool = True, + redirect_class: Type[HTTPMove] = HTTPPermanentRedirect, +) -> Middleware: + """Factory for producing a middleware that normalizes the path of a request. + + Normalizing means: + - Add or remove a trailing slash to the path. + - Double slashes are replaced by one. + + The middleware returns as soon as it finds a path that resolves + correctly. The order if both merge and append/remove are enabled is + 1) merge slashes + 2) append/remove slash + 3) both merge slashes and append/remove slash. + If the path resolves with at least one of those conditions, it will + redirect to the new path. + + Only one of `append_slash` and `remove_slash` can be enabled. If both + are `True` the factory will raise an assertion error + + If `append_slash` is `True` the middleware will append a slash when + needed. If a resource is defined with trailing slash and the request + comes without it, it will append it automatically. + + If `remove_slash` is `True`, `append_slash` must be `False`. When enabled + the middleware will remove trailing slashes and redirect if the resource + is defined + + If merge_slashes is True, merge multiple consecutive slashes in the + path into one. + """ + correct_configuration = not (append_slash and remove_slash) + assert correct_configuration, "Cannot both remove and append slash" + + @middleware + async def impl(request: Request, handler: Handler) -> StreamResponse: + if isinstance(request.match_info.route, SystemRoute): + paths_to_check = [] + if "?" in request.raw_path: + path, query = request.raw_path.split("?", 1) + query = "?" + query + else: + query = "" + path = request.raw_path + + if merge_slashes: + paths_to_check.append(re.sub("//+", "/", path)) + if append_slash and not request.path.endswith("/"): + paths_to_check.append(path + "/") + if remove_slash and request.path.endswith("/"): + paths_to_check.append(path[:-1]) + if merge_slashes and append_slash: + paths_to_check.append(re.sub("//+", "/", path + "/")) + if merge_slashes and remove_slash: + merged_slashes = re.sub("//+", "/", path) + paths_to_check.append(merged_slashes[:-1]) + + for path in paths_to_check: + path = re.sub("^//+", "/", path) # SECURITY: GHSA-v6wp-4m6f-gcjg + resolves, request = await _check_request_resolves(request, path) + if resolves: + raise redirect_class(request.raw_path + query) + + return await handler(request) + + return impl + + +def _fix_request_current_app(app: "Application") -> Middleware: + @middleware + async def impl(request: Request, handler: Handler) -> StreamResponse: + match_info = request.match_info + prev = match_info.current_app + match_info.current_app = app + try: + return await handler(request) + finally: + match_info.current_app = prev + + return impl diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_protocol.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_protocol.py new file mode 100644 index 0000000000000000000000000000000000000000..1bd344ae42a65445df53eb6864db1abeb06f56e7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_protocol.py @@ -0,0 +1,792 @@ +import asyncio +import asyncio.streams +import sys +import traceback +import warnings +from collections import deque +from contextlib import suppress +from html import escape as html_escape +from http import HTTPStatus +from logging import Logger +from typing import ( + TYPE_CHECKING, + Any, + Awaitable, + Callable, + Deque, + Optional, + Sequence, + Tuple, + Type, + Union, + cast, +) + +import attr +import yarl +from propcache import under_cached_property + +from .abc import AbstractAccessLogger, AbstractStreamWriter +from .base_protocol import BaseProtocol +from .helpers import ceil_timeout +from .http import ( + HttpProcessingError, + HttpRequestParser, + HttpVersion10, + RawRequestMessage, + StreamWriter, +) +from .http_exceptions import BadHttpMethod +from .log import access_logger, server_logger +from .streams import EMPTY_PAYLOAD, StreamReader +from .tcp_helpers import tcp_keepalive +from .web_exceptions import HTTPException, HTTPInternalServerError +from .web_log import AccessLogger +from .web_request import BaseRequest +from .web_response import Response, StreamResponse + +__all__ = ("RequestHandler", "RequestPayloadError", "PayloadAccessError") + +if TYPE_CHECKING: + import ssl + + from .web_server import Server + + +_RequestFactory = Callable[ + [ + RawRequestMessage, + StreamReader, + "RequestHandler", + AbstractStreamWriter, + "asyncio.Task[None]", + ], + BaseRequest, +] + +_RequestHandler = Callable[[BaseRequest], Awaitable[StreamResponse]] + +ERROR = RawRequestMessage( + "UNKNOWN", + "/", + HttpVersion10, + {}, # type: ignore[arg-type] + {}, # type: ignore[arg-type] + True, + None, + False, + False, + yarl.URL("/"), +) + + +class RequestPayloadError(Exception): + """Payload parsing error.""" + + +class PayloadAccessError(Exception): + """Payload was accessed after response was sent.""" + + +_PAYLOAD_ACCESS_ERROR = PayloadAccessError() + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class _ErrInfo: + status: int + exc: BaseException + message: str + + +_MsgType = Tuple[Union[RawRequestMessage, _ErrInfo], StreamReader] + + +class RequestHandler(BaseProtocol): + """HTTP protocol implementation. + + RequestHandler handles incoming HTTP request. It reads request line, + request headers and request payload and calls handle_request() method. + By default it always returns with 404 response. + + RequestHandler handles errors in incoming request, like bad + status line, bad headers or incomplete payload. If any error occurs, + connection gets closed. + + keepalive_timeout -- number of seconds before closing + keep-alive connection + + tcp_keepalive -- TCP keep-alive is on, default is on + + debug -- enable debug mode + + logger -- custom logger object + + access_log_class -- custom class for access_logger + + access_log -- custom logging object + + access_log_format -- access log format string + + loop -- Optional event loop + + max_line_size -- Optional maximum header line size + + max_field_size -- Optional maximum header field size + + max_headers -- Optional maximum header size + + timeout_ceil_threshold -- Optional value to specify + threshold to ceil() timeout + values + + """ + + __slots__ = ( + "_request_count", + "_keepalive", + "_manager", + "_request_handler", + "_request_factory", + "_tcp_keepalive", + "_next_keepalive_close_time", + "_keepalive_handle", + "_keepalive_timeout", + "_lingering_time", + "_messages", + "_message_tail", + "_handler_waiter", + "_waiter", + "_task_handler", + "_upgrade", + "_payload_parser", + "_request_parser", + "_reading_paused", + "logger", + "debug", + "access_log", + "access_logger", + "_close", + "_force_close", + "_current_request", + "_timeout_ceil_threshold", + "_request_in_progress", + "_logging_enabled", + "_cache", + ) + + def __init__( + self, + manager: "Server", + *, + loop: asyncio.AbstractEventLoop, + # Default should be high enough that it's likely longer than a reverse proxy. + keepalive_timeout: float = 3630, + tcp_keepalive: bool = True, + logger: Logger = server_logger, + access_log_class: Type[AbstractAccessLogger] = AccessLogger, + access_log: Logger = access_logger, + access_log_format: str = AccessLogger.LOG_FORMAT, + debug: bool = False, + max_line_size: int = 8190, + max_headers: int = 32768, + max_field_size: int = 8190, + lingering_time: float = 10.0, + read_bufsize: int = 2**16, + auto_decompress: bool = True, + timeout_ceil_threshold: float = 5, + ): + super().__init__(loop) + + # _request_count is the number of requests processed with the same connection. + self._request_count = 0 + self._keepalive = False + self._current_request: Optional[BaseRequest] = None + self._manager: Optional[Server] = manager + self._request_handler: Optional[_RequestHandler] = manager.request_handler + self._request_factory: Optional[_RequestFactory] = manager.request_factory + + self._tcp_keepalive = tcp_keepalive + # placeholder to be replaced on keepalive timeout setup + self._next_keepalive_close_time = 0.0 + self._keepalive_handle: Optional[asyncio.Handle] = None + self._keepalive_timeout = keepalive_timeout + self._lingering_time = float(lingering_time) + + self._messages: Deque[_MsgType] = deque() + self._message_tail = b"" + + self._waiter: Optional[asyncio.Future[None]] = None + self._handler_waiter: Optional[asyncio.Future[None]] = None + self._task_handler: Optional[asyncio.Task[None]] = None + + self._upgrade = False + self._payload_parser: Any = None + self._request_parser: Optional[HttpRequestParser] = HttpRequestParser( + self, + loop, + read_bufsize, + max_line_size=max_line_size, + max_field_size=max_field_size, + max_headers=max_headers, + payload_exception=RequestPayloadError, + auto_decompress=auto_decompress, + ) + + self._timeout_ceil_threshold: float = 5 + try: + self._timeout_ceil_threshold = float(timeout_ceil_threshold) + except (TypeError, ValueError): + pass + + self.logger = logger + self.debug = debug + self.access_log = access_log + if access_log: + self.access_logger: Optional[AbstractAccessLogger] = access_log_class( + access_log, access_log_format + ) + self._logging_enabled = self.access_logger.enabled + else: + self.access_logger = None + self._logging_enabled = False + + self._close = False + self._force_close = False + self._request_in_progress = False + self._cache: dict[str, Any] = {} + + def __repr__(self) -> str: + return "<{} {}>".format( + self.__class__.__name__, + "connected" if self.transport is not None else "disconnected", + ) + + @under_cached_property + def ssl_context(self) -> Optional["ssl.SSLContext"]: + """Return SSLContext if available.""" + return ( + None + if self.transport is None + else self.transport.get_extra_info("sslcontext") + ) + + @under_cached_property + def peername( + self, + ) -> Optional[Union[str, Tuple[str, int, int, int], Tuple[str, int]]]: + """Return peername if available.""" + return ( + None + if self.transport is None + else self.transport.get_extra_info("peername") + ) + + @property + def keepalive_timeout(self) -> float: + return self._keepalive_timeout + + async def shutdown(self, timeout: Optional[float] = 15.0) -> None: + """Do worker process exit preparations. + + We need to clean up everything and stop accepting requests. + It is especially important for keep-alive connections. + """ + self._force_close = True + + if self._keepalive_handle is not None: + self._keepalive_handle.cancel() + + # Wait for graceful handler completion + if self._request_in_progress: + # The future is only created when we are shutting + # down while the handler is still processing a request + # to avoid creating a future for every request. + self._handler_waiter = self._loop.create_future() + try: + async with ceil_timeout(timeout): + await self._handler_waiter + except (asyncio.CancelledError, asyncio.TimeoutError): + self._handler_waiter = None + if ( + sys.version_info >= (3, 11) + and (task := asyncio.current_task()) + and task.cancelling() + ): + raise + # Then cancel handler and wait + try: + async with ceil_timeout(timeout): + if self._current_request is not None: + self._current_request._cancel(asyncio.CancelledError()) + + if self._task_handler is not None and not self._task_handler.done(): + await asyncio.shield(self._task_handler) + except (asyncio.CancelledError, asyncio.TimeoutError): + if ( + sys.version_info >= (3, 11) + and (task := asyncio.current_task()) + and task.cancelling() + ): + raise + + # force-close non-idle handler + if self._task_handler is not None: + self._task_handler.cancel() + + self.force_close() + + def connection_made(self, transport: asyncio.BaseTransport) -> None: + super().connection_made(transport) + + real_transport = cast(asyncio.Transport, transport) + if self._tcp_keepalive: + tcp_keepalive(real_transport) + + assert self._manager is not None + self._manager.connection_made(self, real_transport) + + loop = self._loop + if sys.version_info >= (3, 12): + task = asyncio.Task(self.start(), loop=loop, eager_start=True) + else: + task = loop.create_task(self.start()) + self._task_handler = task + + def connection_lost(self, exc: Optional[BaseException]) -> None: + if self._manager is None: + return + self._manager.connection_lost(self, exc) + + # Grab value before setting _manager to None. + handler_cancellation = self._manager.handler_cancellation + + self.force_close() + super().connection_lost(exc) + self._manager = None + self._request_factory = None + self._request_handler = None + self._request_parser = None + + if self._keepalive_handle is not None: + self._keepalive_handle.cancel() + + if self._current_request is not None: + if exc is None: + exc = ConnectionResetError("Connection lost") + self._current_request._cancel(exc) + + if handler_cancellation and self._task_handler is not None: + self._task_handler.cancel() + + self._task_handler = None + + if self._payload_parser is not None: + self._payload_parser.feed_eof() + self._payload_parser = None + + def set_parser(self, parser: Any) -> None: + # Actual type is WebReader + assert self._payload_parser is None + + self._payload_parser = parser + + if self._message_tail: + self._payload_parser.feed_data(self._message_tail) + self._message_tail = b"" + + def eof_received(self) -> None: + pass + + def data_received(self, data: bytes) -> None: + if self._force_close or self._close: + return + # parse http messages + messages: Sequence[_MsgType] + if self._payload_parser is None and not self._upgrade: + assert self._request_parser is not None + try: + messages, upgraded, tail = self._request_parser.feed_data(data) + except HttpProcessingError as exc: + messages = [ + (_ErrInfo(status=400, exc=exc, message=exc.message), EMPTY_PAYLOAD) + ] + upgraded = False + tail = b"" + + for msg, payload in messages or (): + self._request_count += 1 + self._messages.append((msg, payload)) + + waiter = self._waiter + if messages and waiter is not None and not waiter.done(): + # don't set result twice + waiter.set_result(None) + + self._upgrade = upgraded + if upgraded and tail: + self._message_tail = tail + + # no parser, just store + elif self._payload_parser is None and self._upgrade and data: + self._message_tail += data + + # feed payload + elif data: + eof, tail = self._payload_parser.feed_data(data) + if eof: + self.close() + + def keep_alive(self, val: bool) -> None: + """Set keep-alive connection mode. + + :param bool val: new state. + """ + self._keepalive = val + if self._keepalive_handle: + self._keepalive_handle.cancel() + self._keepalive_handle = None + + def close(self) -> None: + """Close connection. + + Stop accepting new pipelining messages and close + connection when handlers done processing messages. + """ + self._close = True + if self._waiter: + self._waiter.cancel() + + def force_close(self) -> None: + """Forcefully close connection.""" + self._force_close = True + if self._waiter: + self._waiter.cancel() + if self.transport is not None: + self.transport.close() + self.transport = None + + def log_access( + self, request: BaseRequest, response: StreamResponse, time: Optional[float] + ) -> None: + if self._logging_enabled and self.access_logger is not None: + if TYPE_CHECKING: + assert time is not None + self.access_logger.log(request, response, self._loop.time() - time) + + def log_debug(self, *args: Any, **kw: Any) -> None: + if self.debug: + self.logger.debug(*args, **kw) + + def log_exception(self, *args: Any, **kw: Any) -> None: + self.logger.exception(*args, **kw) + + def _process_keepalive(self) -> None: + self._keepalive_handle = None + if self._force_close or not self._keepalive: + return + + loop = self._loop + now = loop.time() + close_time = self._next_keepalive_close_time + if now < close_time: + # Keep alive close check fired too early, reschedule + self._keepalive_handle = loop.call_at(close_time, self._process_keepalive) + return + + # handler in idle state + if self._waiter and not self._waiter.done(): + self.force_close() + + async def _handle_request( + self, + request: BaseRequest, + start_time: Optional[float], + request_handler: Callable[[BaseRequest], Awaitable[StreamResponse]], + ) -> Tuple[StreamResponse, bool]: + self._request_in_progress = True + try: + try: + self._current_request = request + resp = await request_handler(request) + finally: + self._current_request = None + except HTTPException as exc: + resp = exc + resp, reset = await self.finish_response(request, resp, start_time) + except asyncio.CancelledError: + raise + except asyncio.TimeoutError as exc: + self.log_debug("Request handler timed out.", exc_info=exc) + resp = self.handle_error(request, 504) + resp, reset = await self.finish_response(request, resp, start_time) + except Exception as exc: + resp = self.handle_error(request, 500, exc) + resp, reset = await self.finish_response(request, resp, start_time) + else: + # Deprecation warning (See #2415) + if getattr(resp, "__http_exception__", False): + warnings.warn( + "returning HTTPException object is deprecated " + "(#2415) and will be removed, " + "please raise the exception instead", + DeprecationWarning, + ) + + resp, reset = await self.finish_response(request, resp, start_time) + finally: + self._request_in_progress = False + if self._handler_waiter is not None: + self._handler_waiter.set_result(None) + + return resp, reset + + async def start(self) -> None: + """Process incoming request. + + It reads request line, request headers and request payload, then + calls handle_request() method. Subclass has to override + handle_request(). start() handles various exceptions in request + or response handling. Connection is being closed always unless + keep_alive(True) specified. + """ + loop = self._loop + manager = self._manager + assert manager is not None + keepalive_timeout = self._keepalive_timeout + resp = None + assert self._request_factory is not None + assert self._request_handler is not None + + while not self._force_close: + if not self._messages: + try: + # wait for next request + self._waiter = loop.create_future() + await self._waiter + finally: + self._waiter = None + + message, payload = self._messages.popleft() + + # time is only fetched if logging is enabled as otherwise + # its thrown away and never used. + start = loop.time() if self._logging_enabled else None + + manager.requests_count += 1 + writer = StreamWriter(self, loop) + if isinstance(message, _ErrInfo): + # make request_factory work + request_handler = self._make_error_handler(message) + message = ERROR + else: + request_handler = self._request_handler + + # Important don't hold a reference to the current task + # as on traceback it will prevent the task from being + # collected and will cause a memory leak. + request = self._request_factory( + message, + payload, + self, + writer, + self._task_handler or asyncio.current_task(loop), # type: ignore[arg-type] + ) + try: + # a new task is used for copy context vars (#3406) + coro = self._handle_request(request, start, request_handler) + if sys.version_info >= (3, 12): + task = asyncio.Task(coro, loop=loop, eager_start=True) + else: + task = loop.create_task(coro) + try: + resp, reset = await task + except ConnectionError: + self.log_debug("Ignored premature client disconnection") + break + + # Drop the processed task from asyncio.Task.all_tasks() early + del task + if reset: + self.log_debug("Ignored premature client disconnection 2") + break + + # notify server about keep-alive + self._keepalive = bool(resp.keep_alive) + + # check payload + if not payload.is_eof(): + lingering_time = self._lingering_time + if not self._force_close and lingering_time: + self.log_debug( + "Start lingering close timer for %s sec.", lingering_time + ) + + now = loop.time() + end_t = now + lingering_time + + try: + while not payload.is_eof() and now < end_t: + async with ceil_timeout(end_t - now): + # read and ignore + await payload.readany() + now = loop.time() + except (asyncio.CancelledError, asyncio.TimeoutError): + if ( + sys.version_info >= (3, 11) + and (t := asyncio.current_task()) + and t.cancelling() + ): + raise + + # if payload still uncompleted + if not payload.is_eof() and not self._force_close: + self.log_debug("Uncompleted request.") + self.close() + + payload.set_exception(_PAYLOAD_ACCESS_ERROR) + + except asyncio.CancelledError: + self.log_debug("Ignored premature client disconnection") + self.force_close() + raise + except Exception as exc: + self.log_exception("Unhandled exception", exc_info=exc) + self.force_close() + except BaseException: + self.force_close() + raise + finally: + request._task = None # type: ignore[assignment] # Break reference cycle in case of exception + if self.transport is None and resp is not None: + self.log_debug("Ignored premature client disconnection.") + + if self._keepalive and not self._close and not self._force_close: + # start keep-alive timer + close_time = loop.time() + keepalive_timeout + self._next_keepalive_close_time = close_time + if self._keepalive_handle is None: + self._keepalive_handle = loop.call_at( + close_time, self._process_keepalive + ) + else: + break + + # remove handler, close transport if no handlers left + if not self._force_close: + self._task_handler = None + if self.transport is not None: + self.transport.close() + + async def finish_response( + self, request: BaseRequest, resp: StreamResponse, start_time: Optional[float] + ) -> Tuple[StreamResponse, bool]: + """Prepare the response and write_eof, then log access. + + This has to + be called within the context of any exception so the access logger + can get exception information. Returns True if the client disconnects + prematurely. + """ + request._finish() + if self._request_parser is not None: + self._request_parser.set_upgraded(False) + self._upgrade = False + if self._message_tail: + self._request_parser.feed_data(self._message_tail) + self._message_tail = b"" + try: + prepare_meth = resp.prepare + except AttributeError: + if resp is None: + self.log_exception("Missing return statement on request handler") + else: + self.log_exception( + "Web-handler should return a response instance, " + "got {!r}".format(resp) + ) + exc = HTTPInternalServerError() + resp = Response( + status=exc.status, reason=exc.reason, text=exc.text, headers=exc.headers + ) + prepare_meth = resp.prepare + try: + await prepare_meth(request) + await resp.write_eof() + except ConnectionError: + self.log_access(request, resp, start_time) + return resp, True + + self.log_access(request, resp, start_time) + return resp, False + + def handle_error( + self, + request: BaseRequest, + status: int = 500, + exc: Optional[BaseException] = None, + message: Optional[str] = None, + ) -> StreamResponse: + """Handle errors. + + Returns HTTP response with specific status code. Logs additional + information. It always closes current connection. + """ + if self._request_count == 1 and isinstance(exc, BadHttpMethod): + # BadHttpMethod is common when a client sends non-HTTP + # or encrypted traffic to an HTTP port. This is expected + # to happen when connected to the public internet so we log + # it at the debug level as to not fill logs with noise. + self.logger.debug( + "Error handling request from %s", request.remote, exc_info=exc + ) + else: + self.log_exception( + "Error handling request from %s", request.remote, exc_info=exc + ) + + # some data already got sent, connection is broken + if request.writer.output_size > 0: + raise ConnectionError( + "Response is sent already, cannot send another response " + "with the error message" + ) + + ct = "text/plain" + if status == HTTPStatus.INTERNAL_SERVER_ERROR: + title = "{0.value} {0.phrase}".format(HTTPStatus.INTERNAL_SERVER_ERROR) + msg = HTTPStatus.INTERNAL_SERVER_ERROR.description + tb = None + if self.debug: + with suppress(Exception): + tb = traceback.format_exc() + + if "text/html" in request.headers.get("Accept", ""): + if tb: + tb = html_escape(tb) + msg = f"

Traceback:

\n
{tb}
" + message = ( + "" + "{title}" + "\n

{title}

" + "\n{msg}\n\n" + ).format(title=title, msg=msg) + ct = "text/html" + else: + if tb: + msg = tb + message = title + "\n\n" + msg + + resp = Response(status=status, text=message, content_type=ct) + resp.force_close() + + return resp + + def _make_error_handler( + self, err_info: _ErrInfo + ) -> Callable[[BaseRequest], Awaitable[StreamResponse]]: + async def handler(request: BaseRequest) -> StreamResponse: + return self.handle_error( + request, err_info.status, err_info.exc, err_info.message + ) + + return handler diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_request.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_request.py new file mode 100644 index 0000000000000000000000000000000000000000..0eafcd6e34cb8418393f1af38a072de947a63502 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_request.py @@ -0,0 +1,914 @@ +import asyncio +import datetime +import io +import re +import socket +import string +import tempfile +import types +import warnings +from types import MappingProxyType +from typing import ( + TYPE_CHECKING, + Any, + Dict, + Final, + Iterator, + Mapping, + MutableMapping, + Optional, + Pattern, + Tuple, + Union, + cast, +) +from urllib.parse import parse_qsl + +import attr +from multidict import ( + CIMultiDict, + CIMultiDictProxy, + MultiDict, + MultiDictProxy, + MultiMapping, +) +from yarl import URL + +from . import hdrs +from ._cookie_helpers import parse_cookie_header +from .abc import AbstractStreamWriter +from .helpers import ( + _SENTINEL, + DEBUG, + ETAG_ANY, + LIST_QUOTED_ETAG_RE, + ChainMapProxy, + ETag, + HeadersMixin, + parse_http_date, + reify, + sentinel, + set_exception, +) +from .http_parser import RawRequestMessage +from .http_writer import HttpVersion +from .multipart import BodyPartReader, MultipartReader +from .streams import EmptyStreamReader, StreamReader +from .typedefs import ( + DEFAULT_JSON_DECODER, + JSONDecoder, + LooseHeaders, + RawHeaders, + StrOrURL, +) +from .web_exceptions import HTTPRequestEntityTooLarge +from .web_response import StreamResponse + +__all__ = ("BaseRequest", "FileField", "Request") + + +if TYPE_CHECKING: + from .web_app import Application + from .web_protocol import RequestHandler + from .web_urldispatcher import UrlMappingMatchInfo + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class FileField: + name: str + filename: str + file: io.BufferedReader + content_type: str + headers: CIMultiDictProxy[str] + + +_TCHAR: Final[str] = string.digits + string.ascii_letters + r"!#$%&'*+.^_`|~-" +# '-' at the end to prevent interpretation as range in a char class + +_TOKEN: Final[str] = rf"[{_TCHAR}]+" + +_QDTEXT: Final[str] = r"[{}]".format( + r"".join(chr(c) for c in (0x09, 0x20, 0x21) + tuple(range(0x23, 0x7F))) +) +# qdtext includes 0x5C to escape 0x5D ('\]') +# qdtext excludes obs-text (because obsoleted, and encoding not specified) + +_QUOTED_PAIR: Final[str] = r"\\[\t !-~]" + +_QUOTED_STRING: Final[str] = r'"(?:{quoted_pair}|{qdtext})*"'.format( + qdtext=_QDTEXT, quoted_pair=_QUOTED_PAIR +) + +_FORWARDED_PAIR: Final[str] = ( + r"({token})=({token}|{quoted_string})(:\d{{1,4}})?".format( + token=_TOKEN, quoted_string=_QUOTED_STRING + ) +) + +_QUOTED_PAIR_REPLACE_RE: Final[Pattern[str]] = re.compile(r"\\([\t !-~])") +# same pattern as _QUOTED_PAIR but contains a capture group + +_FORWARDED_PAIR_RE: Final[Pattern[str]] = re.compile(_FORWARDED_PAIR) + +############################################################ +# HTTP Request +############################################################ + + +class BaseRequest(MutableMapping[str, Any], HeadersMixin): + + POST_METHODS = { + hdrs.METH_PATCH, + hdrs.METH_POST, + hdrs.METH_PUT, + hdrs.METH_TRACE, + hdrs.METH_DELETE, + } + + ATTRS = HeadersMixin.ATTRS | frozenset( + [ + "_message", + "_protocol", + "_payload_writer", + "_payload", + "_headers", + "_method", + "_version", + "_rel_url", + "_post", + "_read_bytes", + "_state", + "_cache", + "_task", + "_client_max_size", + "_loop", + "_transport_sslcontext", + "_transport_peername", + ] + ) + _post: Optional[MultiDictProxy[Union[str, bytes, FileField]]] = None + _read_bytes: Optional[bytes] = None + + def __init__( + self, + message: RawRequestMessage, + payload: StreamReader, + protocol: "RequestHandler", + payload_writer: AbstractStreamWriter, + task: "asyncio.Task[None]", + loop: asyncio.AbstractEventLoop, + *, + client_max_size: int = 1024**2, + state: Optional[Dict[str, Any]] = None, + scheme: Optional[str] = None, + host: Optional[str] = None, + remote: Optional[str] = None, + ) -> None: + self._message = message + self._protocol = protocol + self._payload_writer = payload_writer + + self._payload = payload + self._headers: CIMultiDictProxy[str] = message.headers + self._method = message.method + self._version = message.version + self._cache: Dict[str, Any] = {} + url = message.url + if url.absolute: + if scheme is not None: + url = url.with_scheme(scheme) + if host is not None: + url = url.with_host(host) + # absolute URL is given, + # override auto-calculating url, host, and scheme + # all other properties should be good + self._cache["url"] = url + self._cache["host"] = url.host + self._cache["scheme"] = url.scheme + self._rel_url = url.relative() + else: + self._rel_url = url + if scheme is not None: + self._cache["scheme"] = scheme + if host is not None: + self._cache["host"] = host + + self._state = {} if state is None else state + self._task = task + self._client_max_size = client_max_size + self._loop = loop + + self._transport_sslcontext = protocol.ssl_context + self._transport_peername = protocol.peername + + if remote is not None: + self._cache["remote"] = remote + + def clone( + self, + *, + method: Union[str, _SENTINEL] = sentinel, + rel_url: Union[StrOrURL, _SENTINEL] = sentinel, + headers: Union[LooseHeaders, _SENTINEL] = sentinel, + scheme: Union[str, _SENTINEL] = sentinel, + host: Union[str, _SENTINEL] = sentinel, + remote: Union[str, _SENTINEL] = sentinel, + client_max_size: Union[int, _SENTINEL] = sentinel, + ) -> "BaseRequest": + """Clone itself with replacement some attributes. + + Creates and returns a new instance of Request object. If no parameters + are given, an exact copy is returned. If a parameter is not passed, it + will reuse the one from the current request object. + """ + if self._read_bytes: + raise RuntimeError("Cannot clone request after reading its content") + + dct: Dict[str, Any] = {} + if method is not sentinel: + dct["method"] = method + if rel_url is not sentinel: + new_url: URL = URL(rel_url) + dct["url"] = new_url + dct["path"] = str(new_url) + if headers is not sentinel: + # a copy semantic + dct["headers"] = CIMultiDictProxy(CIMultiDict(headers)) + dct["raw_headers"] = tuple( + (k.encode("utf-8"), v.encode("utf-8")) + for k, v in dct["headers"].items() + ) + + message = self._message._replace(**dct) + + kwargs = {} + if scheme is not sentinel: + kwargs["scheme"] = scheme + if host is not sentinel: + kwargs["host"] = host + if remote is not sentinel: + kwargs["remote"] = remote + if client_max_size is sentinel: + client_max_size = self._client_max_size + + return self.__class__( + message, + self._payload, + self._protocol, + self._payload_writer, + self._task, + self._loop, + client_max_size=client_max_size, + state=self._state.copy(), + **kwargs, + ) + + @property + def task(self) -> "asyncio.Task[None]": + return self._task + + @property + def protocol(self) -> "RequestHandler": + return self._protocol + + @property + def transport(self) -> Optional[asyncio.Transport]: + if self._protocol is None: + return None + return self._protocol.transport + + @property + def writer(self) -> AbstractStreamWriter: + return self._payload_writer + + @property + def client_max_size(self) -> int: + return self._client_max_size + + @reify + def message(self) -> RawRequestMessage: + warnings.warn("Request.message is deprecated", DeprecationWarning, stacklevel=3) + return self._message + + @reify + def rel_url(self) -> URL: + return self._rel_url + + @reify + def loop(self) -> asyncio.AbstractEventLoop: + warnings.warn( + "request.loop property is deprecated", DeprecationWarning, stacklevel=2 + ) + return self._loop + + # MutableMapping API + + def __getitem__(self, key: str) -> Any: + return self._state[key] + + def __setitem__(self, key: str, value: Any) -> None: + self._state[key] = value + + def __delitem__(self, key: str) -> None: + del self._state[key] + + def __len__(self) -> int: + return len(self._state) + + def __iter__(self) -> Iterator[str]: + return iter(self._state) + + ######## + + @reify + def secure(self) -> bool: + """A bool indicating if the request is handled with SSL.""" + return self.scheme == "https" + + @reify + def forwarded(self) -> Tuple[Mapping[str, str], ...]: + """A tuple containing all parsed Forwarded header(s). + + Makes an effort to parse Forwarded headers as specified by RFC 7239: + + - It adds one (immutable) dictionary per Forwarded 'field-value', ie + per proxy. The element corresponds to the data in the Forwarded + field-value added by the first proxy encountered by the client. Each + subsequent item corresponds to those added by later proxies. + - It checks that every value has valid syntax in general as specified + in section 4: either a 'token' or a 'quoted-string'. + - It un-escapes found escape sequences. + - It does NOT validate 'by' and 'for' contents as specified in section + 6. + - It does NOT validate 'host' contents (Host ABNF). + - It does NOT validate 'proto' contents for valid URI scheme names. + + Returns a tuple containing one or more immutable dicts + """ + elems = [] + for field_value in self._message.headers.getall(hdrs.FORWARDED, ()): + length = len(field_value) + pos = 0 + need_separator = False + elem: Dict[str, str] = {} + elems.append(types.MappingProxyType(elem)) + while 0 <= pos < length: + match = _FORWARDED_PAIR_RE.match(field_value, pos) + if match is not None: # got a valid forwarded-pair + if need_separator: + # bad syntax here, skip to next comma + pos = field_value.find(",", pos) + else: + name, value, port = match.groups() + if value[0] == '"': + # quoted string: remove quotes and unescape + value = _QUOTED_PAIR_REPLACE_RE.sub(r"\1", value[1:-1]) + if port: + value += port + elem[name.lower()] = value + pos += len(match.group(0)) + need_separator = True + elif field_value[pos] == ",": # next forwarded-element + need_separator = False + elem = {} + elems.append(types.MappingProxyType(elem)) + pos += 1 + elif field_value[pos] == ";": # next forwarded-pair + need_separator = False + pos += 1 + elif field_value[pos] in " \t": + # Allow whitespace even between forwarded-pairs, though + # RFC 7239 doesn't. This simplifies code and is in line + # with Postel's law. + pos += 1 + else: + # bad syntax here, skip to next comma + pos = field_value.find(",", pos) + return tuple(elems) + + @reify + def scheme(self) -> str: + """A string representing the scheme of the request. + + Hostname is resolved in this order: + + - overridden value by .clone(scheme=new_scheme) call. + - type of connection to peer: HTTPS if socket is SSL, HTTP otherwise. + + 'http' or 'https'. + """ + if self._transport_sslcontext: + return "https" + else: + return "http" + + @reify + def method(self) -> str: + """Read only property for getting HTTP method. + + The value is upper-cased str like 'GET', 'POST', 'PUT' etc. + """ + return self._method + + @reify + def version(self) -> HttpVersion: + """Read only property for getting HTTP version of request. + + Returns aiohttp.protocol.HttpVersion instance. + """ + return self._version + + @reify + def host(self) -> str: + """Hostname of the request. + + Hostname is resolved in this order: + + - overridden value by .clone(host=new_host) call. + - HOST HTTP header + - socket.getfqdn() value + + For example, 'example.com' or 'localhost:8080'. + + For historical reasons, the port number may be included. + """ + host = self._message.headers.get(hdrs.HOST) + if host is not None: + return host + return socket.getfqdn() + + @reify + def remote(self) -> Optional[str]: + """Remote IP of client initiated HTTP request. + + The IP is resolved in this order: + + - overridden value by .clone(remote=new_remote) call. + - peername of opened socket + """ + if self._transport_peername is None: + return None + if isinstance(self._transport_peername, (list, tuple)): + return str(self._transport_peername[0]) + return str(self._transport_peername) + + @reify + def url(self) -> URL: + """The full URL of the request.""" + # authority is used here because it may include the port number + # and we want yarl to parse it correctly + return URL.build(scheme=self.scheme, authority=self.host).join(self._rel_url) + + @reify + def path(self) -> str: + """The URL including *PATH INFO* without the host or scheme. + + E.g., ``/app/blog`` + """ + return self._rel_url.path + + @reify + def path_qs(self) -> str: + """The URL including PATH_INFO and the query string. + + E.g, /app/blog?id=10 + """ + return str(self._rel_url) + + @reify + def raw_path(self) -> str: + """The URL including raw *PATH INFO* without the host or scheme. + + Warning, the path is unquoted and may contains non valid URL characters + + E.g., ``/my%2Fpath%7Cwith%21some%25strange%24characters`` + """ + return self._message.path + + @reify + def query(self) -> "MultiMapping[str]": + """A multidict with all the variables in the query string.""" + return self._rel_url.query + + @reify + def query_string(self) -> str: + """The query string in the URL. + + E.g., id=10 + """ + return self._rel_url.query_string + + @reify + def headers(self) -> CIMultiDictProxy[str]: + """A case-insensitive multidict proxy with all headers.""" + return self._headers + + @reify + def raw_headers(self) -> RawHeaders: + """A sequence of pairs for all headers.""" + return self._message.raw_headers + + @reify + def if_modified_since(self) -> Optional[datetime.datetime]: + """The value of If-Modified-Since HTTP header, or None. + + This header is represented as a `datetime` object. + """ + return parse_http_date(self.headers.get(hdrs.IF_MODIFIED_SINCE)) + + @reify + def if_unmodified_since(self) -> Optional[datetime.datetime]: + """The value of If-Unmodified-Since HTTP header, or None. + + This header is represented as a `datetime` object. + """ + return parse_http_date(self.headers.get(hdrs.IF_UNMODIFIED_SINCE)) + + @staticmethod + def _etag_values(etag_header: str) -> Iterator[ETag]: + """Extract `ETag` objects from raw header.""" + if etag_header == ETAG_ANY: + yield ETag( + is_weak=False, + value=ETAG_ANY, + ) + else: + for match in LIST_QUOTED_ETAG_RE.finditer(etag_header): + is_weak, value, garbage = match.group(2, 3, 4) + # Any symbol captured by 4th group means + # that the following sequence is invalid. + if garbage: + break + + yield ETag( + is_weak=bool(is_weak), + value=value, + ) + + @classmethod + def _if_match_or_none_impl( + cls, header_value: Optional[str] + ) -> Optional[Tuple[ETag, ...]]: + if not header_value: + return None + + return tuple(cls._etag_values(header_value)) + + @reify + def if_match(self) -> Optional[Tuple[ETag, ...]]: + """The value of If-Match HTTP header, or None. + + This header is represented as a `tuple` of `ETag` objects. + """ + return self._if_match_or_none_impl(self.headers.get(hdrs.IF_MATCH)) + + @reify + def if_none_match(self) -> Optional[Tuple[ETag, ...]]: + """The value of If-None-Match HTTP header, or None. + + This header is represented as a `tuple` of `ETag` objects. + """ + return self._if_match_or_none_impl(self.headers.get(hdrs.IF_NONE_MATCH)) + + @reify + def if_range(self) -> Optional[datetime.datetime]: + """The value of If-Range HTTP header, or None. + + This header is represented as a `datetime` object. + """ + return parse_http_date(self.headers.get(hdrs.IF_RANGE)) + + @reify + def keep_alive(self) -> bool: + """Is keepalive enabled by client?""" + return not self._message.should_close + + @reify + def cookies(self) -> Mapping[str, str]: + """Return request cookies. + + A read-only dictionary-like object. + """ + # Use parse_cookie_header for RFC 6265 compliant Cookie header parsing + # that accepts special characters in cookie names (fixes #2683) + parsed = parse_cookie_header(self.headers.get(hdrs.COOKIE, "")) + # Extract values from Morsel objects + return MappingProxyType({name: morsel.value for name, morsel in parsed}) + + @reify + def http_range(self) -> slice: + """The content of Range HTTP header. + + Return a slice instance. + + """ + rng = self._headers.get(hdrs.RANGE) + start, end = None, None + if rng is not None: + try: + pattern = r"^bytes=(\d*)-(\d*)$" + start, end = re.findall(pattern, rng, re.ASCII)[0] + except IndexError: # pattern was not found in header + raise ValueError("range not in acceptable format") + + end = int(end) if end else None + start = int(start) if start else None + + if start is None and end is not None: + # end with no start is to return tail of content + start = -end + end = None + + if start is not None and end is not None: + # end is inclusive in range header, exclusive for slice + end += 1 + + if start >= end: + raise ValueError("start cannot be after end") + + if start is end is None: # No valid range supplied + raise ValueError("No start or end of range specified") + + return slice(start, end, 1) + + @reify + def content(self) -> StreamReader: + """Return raw payload stream.""" + return self._payload + + @property + def has_body(self) -> bool: + """Return True if request's HTTP BODY can be read, False otherwise.""" + warnings.warn( + "Deprecated, use .can_read_body #2005", DeprecationWarning, stacklevel=2 + ) + return not self._payload.at_eof() + + @property + def can_read_body(self) -> bool: + """Return True if request's HTTP BODY can be read, False otherwise.""" + return not self._payload.at_eof() + + @reify + def body_exists(self) -> bool: + """Return True if request has HTTP BODY, False otherwise.""" + return type(self._payload) is not EmptyStreamReader + + async def release(self) -> None: + """Release request. + + Eat unread part of HTTP BODY if present. + """ + while not self._payload.at_eof(): + await self._payload.readany() + + async def read(self) -> bytes: + """Read request body if present. + + Returns bytes object with full request content. + """ + if self._read_bytes is None: + body = bytearray() + while True: + chunk = await self._payload.readany() + body.extend(chunk) + if self._client_max_size: + body_size = len(body) + if body_size >= self._client_max_size: + raise HTTPRequestEntityTooLarge( + max_size=self._client_max_size, actual_size=body_size + ) + if not chunk: + break + self._read_bytes = bytes(body) + return self._read_bytes + + async def text(self) -> str: + """Return BODY as text using encoding from .charset.""" + bytes_body = await self.read() + encoding = self.charset or "utf-8" + return bytes_body.decode(encoding) + + async def json(self, *, loads: JSONDecoder = DEFAULT_JSON_DECODER) -> Any: + """Return BODY as JSON.""" + body = await self.text() + return loads(body) + + async def multipart(self) -> MultipartReader: + """Return async iterator to process BODY as multipart.""" + return MultipartReader(self._headers, self._payload) + + async def post(self) -> "MultiDictProxy[Union[str, bytes, FileField]]": + """Return POST parameters.""" + if self._post is not None: + return self._post + if self._method not in self.POST_METHODS: + self._post = MultiDictProxy(MultiDict()) + return self._post + + content_type = self.content_type + if content_type not in ( + "", + "application/x-www-form-urlencoded", + "multipart/form-data", + ): + self._post = MultiDictProxy(MultiDict()) + return self._post + + out: MultiDict[Union[str, bytes, FileField]] = MultiDict() + + if content_type == "multipart/form-data": + multipart = await self.multipart() + max_size = self._client_max_size + + size = 0 + while (field := await multipart.next()) is not None: + field_ct = field.headers.get(hdrs.CONTENT_TYPE) + + if isinstance(field, BodyPartReader): + if field.name is None: + raise ValueError("Multipart field missing name.") + + # Note that according to RFC 7578, the Content-Type header + # is optional, even for files, so we can't assume it's + # present. + # https://tools.ietf.org/html/rfc7578#section-4.4 + if field.filename: + # store file in temp file + tmp = await self._loop.run_in_executor( + None, tempfile.TemporaryFile + ) + chunk = await field.read_chunk(size=2**16) + while chunk: + chunk = await field.decode(chunk) + await self._loop.run_in_executor(None, tmp.write, chunk) + size += len(chunk) + if 0 < max_size < size: + await self._loop.run_in_executor(None, tmp.close) + raise HTTPRequestEntityTooLarge( + max_size=max_size, actual_size=size + ) + chunk = await field.read_chunk(size=2**16) + await self._loop.run_in_executor(None, tmp.seek, 0) + + if field_ct is None: + field_ct = "application/octet-stream" + + ff = FileField( + field.name, + field.filename, + cast(io.BufferedReader, tmp), + field_ct, + field.headers, + ) + out.add(field.name, ff) + else: + # deal with ordinary data + value = await field.read(decode=True) + if field_ct is None or field_ct.startswith("text/"): + charset = field.get_charset(default="utf-8") + out.add(field.name, value.decode(charset)) + else: + out.add(field.name, value) + size += len(value) + if 0 < max_size < size: + raise HTTPRequestEntityTooLarge( + max_size=max_size, actual_size=size + ) + else: + raise ValueError( + "To decode nested multipart you need to use custom reader", + ) + else: + data = await self.read() + if data: + charset = self.charset or "utf-8" + out.extend( + parse_qsl( + data.rstrip().decode(charset), + keep_blank_values=True, + encoding=charset, + ) + ) + + self._post = MultiDictProxy(out) + return self._post + + def get_extra_info(self, name: str, default: Any = None) -> Any: + """Extra info from protocol transport""" + protocol = self._protocol + if protocol is None: + return default + + transport = protocol.transport + if transport is None: + return default + + return transport.get_extra_info(name, default) + + def __repr__(self) -> str: + ascii_encodable_path = self.path.encode("ascii", "backslashreplace").decode( + "ascii" + ) + return "<{} {} {} >".format( + self.__class__.__name__, self._method, ascii_encodable_path + ) + + def __eq__(self, other: object) -> bool: + return id(self) == id(other) + + def __bool__(self) -> bool: + return True + + async def _prepare_hook(self, response: StreamResponse) -> None: + return + + def _cancel(self, exc: BaseException) -> None: + set_exception(self._payload, exc) + + def _finish(self) -> None: + if self._post is None or self.content_type != "multipart/form-data": + return + + # NOTE: Release file descriptors for the + # NOTE: `tempfile.Temporaryfile`-created `_io.BufferedRandom` + # NOTE: instances of files sent within multipart request body + # NOTE: via HTTP POST request. + for file_name, file_field_object in self._post.items(): + if isinstance(file_field_object, FileField): + file_field_object.file.close() + + +class Request(BaseRequest): + + ATTRS = BaseRequest.ATTRS | frozenset(["_match_info"]) + + _match_info: Optional["UrlMappingMatchInfo"] = None + + if DEBUG: + + def __setattr__(self, name: str, val: Any) -> None: + if name not in self.ATTRS: + warnings.warn( + "Setting custom {}.{} attribute " + "is discouraged".format(self.__class__.__name__, name), + DeprecationWarning, + stacklevel=2, + ) + super().__setattr__(name, val) + + def clone( + self, + *, + method: Union[str, _SENTINEL] = sentinel, + rel_url: Union[StrOrURL, _SENTINEL] = sentinel, + headers: Union[LooseHeaders, _SENTINEL] = sentinel, + scheme: Union[str, _SENTINEL] = sentinel, + host: Union[str, _SENTINEL] = sentinel, + remote: Union[str, _SENTINEL] = sentinel, + client_max_size: Union[int, _SENTINEL] = sentinel, + ) -> "Request": + ret = super().clone( + method=method, + rel_url=rel_url, + headers=headers, + scheme=scheme, + host=host, + remote=remote, + client_max_size=client_max_size, + ) + new_ret = cast(Request, ret) + new_ret._match_info = self._match_info + return new_ret + + @reify + def match_info(self) -> "UrlMappingMatchInfo": + """Result of route resolving.""" + match_info = self._match_info + assert match_info is not None + return match_info + + @property + def app(self) -> "Application": + """Application instance.""" + match_info = self._match_info + assert match_info is not None + return match_info.current_app + + @property + def config_dict(self) -> ChainMapProxy: + match_info = self._match_info + assert match_info is not None + lst = match_info.apps + app = self.app + idx = lst.index(app) + sublist = list(reversed(lst[: idx + 1])) + return ChainMapProxy(sublist) + + async def _prepare_hook(self, response: StreamResponse) -> None: + match_info = self._match_info + if match_info is None: + return + for app in match_info._apps: + if on_response_prepare := app.on_response_prepare: + await on_response_prepare.send(self, response) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_response.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_response.py new file mode 100644 index 0000000000000000000000000000000000000000..e5f8b6cd652c36274386cb0ce5586d8a5fdf044c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_response.py @@ -0,0 +1,856 @@ +import asyncio +import collections.abc +import datetime +import enum +import json +import math +import time +import warnings +from concurrent.futures import Executor +from http import HTTPStatus +from http.cookies import SimpleCookie +from typing import ( + TYPE_CHECKING, + Any, + Dict, + Iterator, + MutableMapping, + Optional, + Union, + cast, +) + +from multidict import CIMultiDict, istr + +from . import hdrs, payload +from .abc import AbstractStreamWriter +from .compression_utils import ZLibCompressor +from .helpers import ( + ETAG_ANY, + QUOTED_ETAG_RE, + ETag, + HeadersMixin, + must_be_empty_body, + parse_http_date, + rfc822_formatted_time, + sentinel, + should_remove_content_length, + validate_etag_value, +) +from .http import SERVER_SOFTWARE, HttpVersion10, HttpVersion11 +from .payload import Payload +from .typedefs import JSONEncoder, LooseHeaders + +REASON_PHRASES = {http_status.value: http_status.phrase for http_status in HTTPStatus} +LARGE_BODY_SIZE = 1024**2 + +__all__ = ("ContentCoding", "StreamResponse", "Response", "json_response") + + +if TYPE_CHECKING: + from .web_request import BaseRequest + + BaseClass = MutableMapping[str, Any] +else: + BaseClass = collections.abc.MutableMapping + + +# TODO(py311): Convert to StrEnum for wider use +class ContentCoding(enum.Enum): + # The content codings that we have support for. + # + # Additional registered codings are listed at: + # https://www.iana.org/assignments/http-parameters/http-parameters.xhtml#content-coding + deflate = "deflate" + gzip = "gzip" + identity = "identity" + + +CONTENT_CODINGS = {coding.value: coding for coding in ContentCoding} + +############################################################ +# HTTP Response classes +############################################################ + + +class StreamResponse(BaseClass, HeadersMixin): + + _body: Union[None, bytes, bytearray, Payload] + _length_check = True + _body = None + _keep_alive: Optional[bool] = None + _chunked: bool = False + _compression: bool = False + _compression_strategy: Optional[int] = None + _compression_force: Optional[ContentCoding] = None + _req: Optional["BaseRequest"] = None + _payload_writer: Optional[AbstractStreamWriter] = None + _eof_sent: bool = False + _must_be_empty_body: Optional[bool] = None + _body_length = 0 + _cookies: Optional[SimpleCookie] = None + _send_headers_immediately = True + + def __init__( + self, + *, + status: int = 200, + reason: Optional[str] = None, + headers: Optional[LooseHeaders] = None, + _real_headers: Optional[CIMultiDict[str]] = None, + ) -> None: + """Initialize a new stream response object. + + _real_headers is an internal parameter used to pass a pre-populated + headers object. It is used by the `Response` class to avoid copying + the headers when creating a new response object. It is not intended + to be used by external code. + """ + self._state: Dict[str, Any] = {} + + if _real_headers is not None: + self._headers = _real_headers + elif headers is not None: + self._headers: CIMultiDict[str] = CIMultiDict(headers) + else: + self._headers = CIMultiDict() + + self._set_status(status, reason) + + @property + def prepared(self) -> bool: + return self._eof_sent or self._payload_writer is not None + + @property + def task(self) -> "Optional[asyncio.Task[None]]": + if self._req: + return self._req.task + else: + return None + + @property + def status(self) -> int: + return self._status + + @property + def chunked(self) -> bool: + return self._chunked + + @property + def compression(self) -> bool: + return self._compression + + @property + def reason(self) -> str: + return self._reason + + def set_status( + self, + status: int, + reason: Optional[str] = None, + ) -> None: + assert ( + not self.prepared + ), "Cannot change the response status code after the headers have been sent" + self._set_status(status, reason) + + def _set_status(self, status: int, reason: Optional[str]) -> None: + self._status = int(status) + if reason is None: + reason = REASON_PHRASES.get(self._status, "") + elif "\n" in reason: + raise ValueError("Reason cannot contain \\n") + self._reason = reason + + @property + def keep_alive(self) -> Optional[bool]: + return self._keep_alive + + def force_close(self) -> None: + self._keep_alive = False + + @property + def body_length(self) -> int: + return self._body_length + + @property + def output_length(self) -> int: + warnings.warn("output_length is deprecated", DeprecationWarning) + assert self._payload_writer + return self._payload_writer.buffer_size + + def enable_chunked_encoding(self, chunk_size: Optional[int] = None) -> None: + """Enables automatic chunked transfer encoding.""" + if hdrs.CONTENT_LENGTH in self._headers: + raise RuntimeError( + "You can't enable chunked encoding when a content length is set" + ) + if chunk_size is not None: + warnings.warn("Chunk size is deprecated #1615", DeprecationWarning) + self._chunked = True + + def enable_compression( + self, + force: Optional[Union[bool, ContentCoding]] = None, + strategy: Optional[int] = None, + ) -> None: + """Enables response compression encoding.""" + # Backwards compatibility for when force was a bool <0.17. + if isinstance(force, bool): + force = ContentCoding.deflate if force else ContentCoding.identity + warnings.warn( + "Using boolean for force is deprecated #3318", DeprecationWarning + ) + elif force is not None: + assert isinstance( + force, ContentCoding + ), "force should one of None, bool or ContentEncoding" + + self._compression = True + self._compression_force = force + self._compression_strategy = strategy + + @property + def headers(self) -> "CIMultiDict[str]": + return self._headers + + @property + def cookies(self) -> SimpleCookie: + if self._cookies is None: + self._cookies = SimpleCookie() + return self._cookies + + def set_cookie( + self, + name: str, + value: str, + *, + expires: Optional[str] = None, + domain: Optional[str] = None, + max_age: Optional[Union[int, str]] = None, + path: str = "/", + secure: Optional[bool] = None, + httponly: Optional[bool] = None, + version: Optional[str] = None, + samesite: Optional[str] = None, + partitioned: Optional[bool] = None, + ) -> None: + """Set or update response cookie. + + Sets new cookie or updates existent with new value. + Also updates only those params which are not None. + """ + if self._cookies is None: + self._cookies = SimpleCookie() + + self._cookies[name] = value + c = self._cookies[name] + + if expires is not None: + c["expires"] = expires + elif c.get("expires") == "Thu, 01 Jan 1970 00:00:00 GMT": + del c["expires"] + + if domain is not None: + c["domain"] = domain + + if max_age is not None: + c["max-age"] = str(max_age) + elif "max-age" in c: + del c["max-age"] + + c["path"] = path + + if secure is not None: + c["secure"] = secure + if httponly is not None: + c["httponly"] = httponly + if version is not None: + c["version"] = version + if samesite is not None: + c["samesite"] = samesite + + if partitioned is not None: + c["partitioned"] = partitioned + + def del_cookie( + self, + name: str, + *, + domain: Optional[str] = None, + path: str = "/", + secure: Optional[bool] = None, + httponly: Optional[bool] = None, + samesite: Optional[str] = None, + ) -> None: + """Delete cookie. + + Creates new empty expired cookie. + """ + # TODO: do we need domain/path here? + if self._cookies is not None: + self._cookies.pop(name, None) + self.set_cookie( + name, + "", + max_age=0, + expires="Thu, 01 Jan 1970 00:00:00 GMT", + domain=domain, + path=path, + secure=secure, + httponly=httponly, + samesite=samesite, + ) + + @property + def content_length(self) -> Optional[int]: + # Just a placeholder for adding setter + return super().content_length + + @content_length.setter + def content_length(self, value: Optional[int]) -> None: + if value is not None: + value = int(value) + if self._chunked: + raise RuntimeError( + "You can't set content length when chunked encoding is enable" + ) + self._headers[hdrs.CONTENT_LENGTH] = str(value) + else: + self._headers.pop(hdrs.CONTENT_LENGTH, None) + + @property + def content_type(self) -> str: + # Just a placeholder for adding setter + return super().content_type + + @content_type.setter + def content_type(self, value: str) -> None: + self.content_type # read header values if needed + self._content_type = str(value) + self._generate_content_type_header() + + @property + def charset(self) -> Optional[str]: + # Just a placeholder for adding setter + return super().charset + + @charset.setter + def charset(self, value: Optional[str]) -> None: + ctype = self.content_type # read header values if needed + if ctype == "application/octet-stream": + raise RuntimeError( + "Setting charset for application/octet-stream " + "doesn't make sense, setup content_type first" + ) + assert self._content_dict is not None + if value is None: + self._content_dict.pop("charset", None) + else: + self._content_dict["charset"] = str(value).lower() + self._generate_content_type_header() + + @property + def last_modified(self) -> Optional[datetime.datetime]: + """The value of Last-Modified HTTP header, or None. + + This header is represented as a `datetime` object. + """ + return parse_http_date(self._headers.get(hdrs.LAST_MODIFIED)) + + @last_modified.setter + def last_modified( + self, value: Optional[Union[int, float, datetime.datetime, str]] + ) -> None: + if value is None: + self._headers.pop(hdrs.LAST_MODIFIED, None) + elif isinstance(value, (int, float)): + self._headers[hdrs.LAST_MODIFIED] = time.strftime( + "%a, %d %b %Y %H:%M:%S GMT", time.gmtime(math.ceil(value)) + ) + elif isinstance(value, datetime.datetime): + self._headers[hdrs.LAST_MODIFIED] = time.strftime( + "%a, %d %b %Y %H:%M:%S GMT", value.utctimetuple() + ) + elif isinstance(value, str): + self._headers[hdrs.LAST_MODIFIED] = value + else: + msg = f"Unsupported type for last_modified: {type(value).__name__}" + raise TypeError(msg) + + @property + def etag(self) -> Optional[ETag]: + quoted_value = self._headers.get(hdrs.ETAG) + if not quoted_value: + return None + elif quoted_value == ETAG_ANY: + return ETag(value=ETAG_ANY) + match = QUOTED_ETAG_RE.fullmatch(quoted_value) + if not match: + return None + is_weak, value = match.group(1, 2) + return ETag( + is_weak=bool(is_weak), + value=value, + ) + + @etag.setter + def etag(self, value: Optional[Union[ETag, str]]) -> None: + if value is None: + self._headers.pop(hdrs.ETAG, None) + elif (isinstance(value, str) and value == ETAG_ANY) or ( + isinstance(value, ETag) and value.value == ETAG_ANY + ): + self._headers[hdrs.ETAG] = ETAG_ANY + elif isinstance(value, str): + validate_etag_value(value) + self._headers[hdrs.ETAG] = f'"{value}"' + elif isinstance(value, ETag) and isinstance(value.value, str): + validate_etag_value(value.value) + hdr_value = f'W/"{value.value}"' if value.is_weak else f'"{value.value}"' + self._headers[hdrs.ETAG] = hdr_value + else: + raise ValueError( + f"Unsupported etag type: {type(value)}. " + f"etag must be str, ETag or None" + ) + + def _generate_content_type_header( + self, CONTENT_TYPE: istr = hdrs.CONTENT_TYPE + ) -> None: + assert self._content_dict is not None + assert self._content_type is not None + params = "; ".join(f"{k}={v}" for k, v in self._content_dict.items()) + if params: + ctype = self._content_type + "; " + params + else: + ctype = self._content_type + self._headers[CONTENT_TYPE] = ctype + + async def _do_start_compression(self, coding: ContentCoding) -> None: + if coding is ContentCoding.identity: + return + assert self._payload_writer is not None + self._headers[hdrs.CONTENT_ENCODING] = coding.value + self._payload_writer.enable_compression( + coding.value, self._compression_strategy + ) + # Compressed payload may have different content length, + # remove the header + self._headers.popall(hdrs.CONTENT_LENGTH, None) + + async def _start_compression(self, request: "BaseRequest") -> None: + if self._compression_force: + await self._do_start_compression(self._compression_force) + return + # Encoding comparisons should be case-insensitive + # https://www.rfc-editor.org/rfc/rfc9110#section-8.4.1 + accept_encoding = request.headers.get(hdrs.ACCEPT_ENCODING, "").lower() + for value, coding in CONTENT_CODINGS.items(): + if value in accept_encoding: + await self._do_start_compression(coding) + return + + async def prepare(self, request: "BaseRequest") -> Optional[AbstractStreamWriter]: + if self._eof_sent: + return None + if self._payload_writer is not None: + return self._payload_writer + self._must_be_empty_body = must_be_empty_body(request.method, self.status) + return await self._start(request) + + async def _start(self, request: "BaseRequest") -> AbstractStreamWriter: + self._req = request + writer = self._payload_writer = request._payload_writer + + await self._prepare_headers() + await request._prepare_hook(self) + await self._write_headers() + + return writer + + async def _prepare_headers(self) -> None: + request = self._req + assert request is not None + writer = self._payload_writer + assert writer is not None + keep_alive = self._keep_alive + if keep_alive is None: + keep_alive = request.keep_alive + self._keep_alive = keep_alive + + version = request.version + + headers = self._headers + if self._cookies: + for cookie in self._cookies.values(): + value = cookie.output(header="")[1:] + headers.add(hdrs.SET_COOKIE, value) + + if self._compression: + await self._start_compression(request) + + if self._chunked: + if version != HttpVersion11: + raise RuntimeError( + "Using chunked encoding is forbidden " + "for HTTP/{0.major}.{0.minor}".format(request.version) + ) + if not self._must_be_empty_body: + writer.enable_chunking() + headers[hdrs.TRANSFER_ENCODING] = "chunked" + elif self._length_check: # Disabled for WebSockets + writer.length = self.content_length + if writer.length is None: + if version >= HttpVersion11: + if not self._must_be_empty_body: + writer.enable_chunking() + headers[hdrs.TRANSFER_ENCODING] = "chunked" + elif not self._must_be_empty_body: + keep_alive = False + + # HTTP 1.1: https://tools.ietf.org/html/rfc7230#section-3.3.2 + # HTTP 1.0: https://tools.ietf.org/html/rfc1945#section-10.4 + if self._must_be_empty_body: + if hdrs.CONTENT_LENGTH in headers and should_remove_content_length( + request.method, self.status + ): + del headers[hdrs.CONTENT_LENGTH] + # https://datatracker.ietf.org/doc/html/rfc9112#section-6.1-10 + # https://datatracker.ietf.org/doc/html/rfc9112#section-6.1-13 + if hdrs.TRANSFER_ENCODING in headers: + del headers[hdrs.TRANSFER_ENCODING] + elif (writer.length if self._length_check else self.content_length) != 0: + # https://www.rfc-editor.org/rfc/rfc9110#section-8.3-5 + headers.setdefault(hdrs.CONTENT_TYPE, "application/octet-stream") + headers.setdefault(hdrs.DATE, rfc822_formatted_time()) + headers.setdefault(hdrs.SERVER, SERVER_SOFTWARE) + + # connection header + if hdrs.CONNECTION not in headers: + if keep_alive: + if version == HttpVersion10: + headers[hdrs.CONNECTION] = "keep-alive" + elif version == HttpVersion11: + headers[hdrs.CONNECTION] = "close" + + async def _write_headers(self) -> None: + request = self._req + assert request is not None + writer = self._payload_writer + assert writer is not None + # status line + version = request.version + status_line = f"HTTP/{version[0]}.{version[1]} {self._status} {self._reason}" + await writer.write_headers(status_line, self._headers) + # Send headers immediately if not opted into buffering + if self._send_headers_immediately: + writer.send_headers() + + async def write(self, data: Union[bytes, bytearray, memoryview]) -> None: + assert isinstance( + data, (bytes, bytearray, memoryview) + ), "data argument must be byte-ish (%r)" % type(data) + + if self._eof_sent: + raise RuntimeError("Cannot call write() after write_eof()") + if self._payload_writer is None: + raise RuntimeError("Cannot call write() before prepare()") + + await self._payload_writer.write(data) + + async def drain(self) -> None: + assert not self._eof_sent, "EOF has already been sent" + assert self._payload_writer is not None, "Response has not been started" + warnings.warn( + "drain method is deprecated, use await resp.write()", + DeprecationWarning, + stacklevel=2, + ) + await self._payload_writer.drain() + + async def write_eof(self, data: bytes = b"") -> None: + assert isinstance( + data, (bytes, bytearray, memoryview) + ), "data argument must be byte-ish (%r)" % type(data) + + if self._eof_sent: + return + + assert self._payload_writer is not None, "Response has not been started" + + await self._payload_writer.write_eof(data) + self._eof_sent = True + self._req = None + self._body_length = self._payload_writer.output_size + self._payload_writer = None + + def __repr__(self) -> str: + if self._eof_sent: + info = "eof" + elif self.prepared: + assert self._req is not None + info = f"{self._req.method} {self._req.path} " + else: + info = "not prepared" + return f"<{self.__class__.__name__} {self.reason} {info}>" + + def __getitem__(self, key: str) -> Any: + return self._state[key] + + def __setitem__(self, key: str, value: Any) -> None: + self._state[key] = value + + def __delitem__(self, key: str) -> None: + del self._state[key] + + def __len__(self) -> int: + return len(self._state) + + def __iter__(self) -> Iterator[str]: + return iter(self._state) + + def __hash__(self) -> int: + return hash(id(self)) + + def __eq__(self, other: object) -> bool: + return self is other + + def __bool__(self) -> bool: + return True + + +class Response(StreamResponse): + + _compressed_body: Optional[bytes] = None + _send_headers_immediately = False + + def __init__( + self, + *, + body: Any = None, + status: int = 200, + reason: Optional[str] = None, + text: Optional[str] = None, + headers: Optional[LooseHeaders] = None, + content_type: Optional[str] = None, + charset: Optional[str] = None, + zlib_executor_size: Optional[int] = None, + zlib_executor: Optional[Executor] = None, + ) -> None: + if body is not None and text is not None: + raise ValueError("body and text are not allowed together") + + if headers is None: + real_headers: CIMultiDict[str] = CIMultiDict() + else: + real_headers = CIMultiDict(headers) + + if content_type is not None and "charset" in content_type: + raise ValueError("charset must not be in content_type argument") + + if text is not None: + if hdrs.CONTENT_TYPE in real_headers: + if content_type or charset: + raise ValueError( + "passing both Content-Type header and " + "content_type or charset params " + "is forbidden" + ) + else: + # fast path for filling headers + if not isinstance(text, str): + raise TypeError("text argument must be str (%r)" % type(text)) + if content_type is None: + content_type = "text/plain" + if charset is None: + charset = "utf-8" + real_headers[hdrs.CONTENT_TYPE] = content_type + "; charset=" + charset + body = text.encode(charset) + text = None + elif hdrs.CONTENT_TYPE in real_headers: + if content_type is not None or charset is not None: + raise ValueError( + "passing both Content-Type header and " + "content_type or charset params " + "is forbidden" + ) + elif content_type is not None: + if charset is not None: + content_type += "; charset=" + charset + real_headers[hdrs.CONTENT_TYPE] = content_type + + super().__init__(status=status, reason=reason, _real_headers=real_headers) + + if text is not None: + self.text = text + else: + self.body = body + + self._zlib_executor_size = zlib_executor_size + self._zlib_executor = zlib_executor + + @property + def body(self) -> Optional[Union[bytes, Payload]]: + return self._body + + @body.setter + def body(self, body: Any) -> None: + if body is None: + self._body = None + elif isinstance(body, (bytes, bytearray)): + self._body = body + else: + try: + self._body = body = payload.PAYLOAD_REGISTRY.get(body) + except payload.LookupError: + raise ValueError("Unsupported body type %r" % type(body)) + + headers = self._headers + + # set content-type + if hdrs.CONTENT_TYPE not in headers: + headers[hdrs.CONTENT_TYPE] = body.content_type + + # copy payload headers + if body.headers: + for key, value in body.headers.items(): + if key not in headers: + headers[key] = value + + self._compressed_body = None + + @property + def text(self) -> Optional[str]: + if self._body is None: + return None + # Note: When _body is a Payload (e.g. FilePayload), this may do blocking I/O + # This is generally safe as most common payloads (BytesPayload, StringPayload) + # don't do blocking I/O, but be careful with file-based payloads + return self._body.decode(self.charset or "utf-8") + + @text.setter + def text(self, text: str) -> None: + assert text is None or isinstance( + text, str + ), "text argument must be str (%r)" % type(text) + + if self.content_type == "application/octet-stream": + self.content_type = "text/plain" + if self.charset is None: + self.charset = "utf-8" + + self._body = text.encode(self.charset) + self._compressed_body = None + + @property + def content_length(self) -> Optional[int]: + if self._chunked: + return None + + if hdrs.CONTENT_LENGTH in self._headers: + return int(self._headers[hdrs.CONTENT_LENGTH]) + + if self._compressed_body is not None: + # Return length of the compressed body + return len(self._compressed_body) + elif isinstance(self._body, Payload): + # A payload without content length, or a compressed payload + return None + elif self._body is not None: + return len(self._body) + else: + return 0 + + @content_length.setter + def content_length(self, value: Optional[int]) -> None: + raise RuntimeError("Content length is set automatically") + + async def write_eof(self, data: bytes = b"") -> None: + if self._eof_sent: + return + if self._compressed_body is None: + body: Optional[Union[bytes, Payload]] = self._body + else: + body = self._compressed_body + assert not data, f"data arg is not supported, got {data!r}" + assert self._req is not None + assert self._payload_writer is not None + if body is None or self._must_be_empty_body: + await super().write_eof() + elif isinstance(self._body, Payload): + await self._body.write(self._payload_writer) + await self._body.close() + await super().write_eof() + else: + await super().write_eof(cast(bytes, body)) + + async def _start(self, request: "BaseRequest") -> AbstractStreamWriter: + if hdrs.CONTENT_LENGTH in self._headers: + if should_remove_content_length(request.method, self.status): + del self._headers[hdrs.CONTENT_LENGTH] + elif not self._chunked: + if isinstance(self._body, Payload): + if (size := self._body.size) is not None: + self._headers[hdrs.CONTENT_LENGTH] = str(size) + else: + body_len = len(self._body) if self._body else "0" + # https://www.rfc-editor.org/rfc/rfc9110.html#section-8.6-7 + if body_len != "0" or ( + self.status != 304 and request.method not in hdrs.METH_HEAD_ALL + ): + self._headers[hdrs.CONTENT_LENGTH] = str(body_len) + + return await super()._start(request) + + async def _do_start_compression(self, coding: ContentCoding) -> None: + if self._chunked or isinstance(self._body, Payload): + return await super()._do_start_compression(coding) + if coding is ContentCoding.identity: + return + # Instead of using _payload_writer.enable_compression, + # compress the whole body + compressor = ZLibCompressor( + encoding=coding.value, + max_sync_chunk_size=self._zlib_executor_size, + executor=self._zlib_executor, + ) + assert self._body is not None + if self._zlib_executor_size is None and len(self._body) > LARGE_BODY_SIZE: + warnings.warn( + "Synchronous compression of large response bodies " + f"({len(self._body)} bytes) might block the async event loop. " + "Consider providing a custom value to zlib_executor_size/" + "zlib_executor response properties or disabling compression on it." + ) + self._compressed_body = ( + await compressor.compress(self._body) + compressor.flush() + ) + self._headers[hdrs.CONTENT_ENCODING] = coding.value + self._headers[hdrs.CONTENT_LENGTH] = str(len(self._compressed_body)) + + +def json_response( + data: Any = sentinel, + *, + text: Optional[str] = None, + body: Optional[bytes] = None, + status: int = 200, + reason: Optional[str] = None, + headers: Optional[LooseHeaders] = None, + content_type: str = "application/json", + dumps: JSONEncoder = json.dumps, +) -> Response: + if data is not sentinel: + if text or body: + raise ValueError("only one of data, text, or body should be specified") + else: + text = dumps(data) + return Response( + text=text, + body=body, + status=status, + reason=reason, + headers=headers, + content_type=content_type, + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_routedef.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_routedef.py new file mode 100644 index 0000000000000000000000000000000000000000..f51b6cd00815a4daeabf7ef269a3225b2b764503 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_routedef.py @@ -0,0 +1,214 @@ +import abc +import os # noqa +from typing import ( + TYPE_CHECKING, + Any, + Callable, + Dict, + Iterator, + List, + Optional, + Sequence, + Type, + Union, + overload, +) + +import attr + +from . import hdrs +from .abc import AbstractView +from .typedefs import Handler, PathLike + +if TYPE_CHECKING: + from .web_request import Request + from .web_response import StreamResponse + from .web_urldispatcher import AbstractRoute, UrlDispatcher +else: + Request = StreamResponse = UrlDispatcher = AbstractRoute = None + + +__all__ = ( + "AbstractRouteDef", + "RouteDef", + "StaticDef", + "RouteTableDef", + "head", + "options", + "get", + "post", + "patch", + "put", + "delete", + "route", + "view", + "static", +) + + +class AbstractRouteDef(abc.ABC): + @abc.abstractmethod + def register(self, router: UrlDispatcher) -> List[AbstractRoute]: + pass # pragma: no cover + + +_HandlerType = Union[Type[AbstractView], Handler] + + +@attr.s(auto_attribs=True, frozen=True, repr=False, slots=True) +class RouteDef(AbstractRouteDef): + method: str + path: str + handler: _HandlerType + kwargs: Dict[str, Any] + + def __repr__(self) -> str: + info = [] + for name, value in sorted(self.kwargs.items()): + info.append(f", {name}={value!r}") + return " {handler.__name__!r}{info}>".format( + method=self.method, path=self.path, handler=self.handler, info="".join(info) + ) + + def register(self, router: UrlDispatcher) -> List[AbstractRoute]: + if self.method in hdrs.METH_ALL: + reg = getattr(router, "add_" + self.method.lower()) + return [reg(self.path, self.handler, **self.kwargs)] + else: + return [ + router.add_route(self.method, self.path, self.handler, **self.kwargs) + ] + + +@attr.s(auto_attribs=True, frozen=True, repr=False, slots=True) +class StaticDef(AbstractRouteDef): + prefix: str + path: PathLike + kwargs: Dict[str, Any] + + def __repr__(self) -> str: + info = [] + for name, value in sorted(self.kwargs.items()): + info.append(f", {name}={value!r}") + return " {path}{info}>".format( + prefix=self.prefix, path=self.path, info="".join(info) + ) + + def register(self, router: UrlDispatcher) -> List[AbstractRoute]: + resource = router.add_static(self.prefix, self.path, **self.kwargs) + routes = resource.get_info().get("routes", {}) + return list(routes.values()) + + +def route(method: str, path: str, handler: _HandlerType, **kwargs: Any) -> RouteDef: + return RouteDef(method, path, handler, kwargs) + + +def head(path: str, handler: _HandlerType, **kwargs: Any) -> RouteDef: + return route(hdrs.METH_HEAD, path, handler, **kwargs) + + +def options(path: str, handler: _HandlerType, **kwargs: Any) -> RouteDef: + return route(hdrs.METH_OPTIONS, path, handler, **kwargs) + + +def get( + path: str, + handler: _HandlerType, + *, + name: Optional[str] = None, + allow_head: bool = True, + **kwargs: Any, +) -> RouteDef: + return route( + hdrs.METH_GET, path, handler, name=name, allow_head=allow_head, **kwargs + ) + + +def post(path: str, handler: _HandlerType, **kwargs: Any) -> RouteDef: + return route(hdrs.METH_POST, path, handler, **kwargs) + + +def put(path: str, handler: _HandlerType, **kwargs: Any) -> RouteDef: + return route(hdrs.METH_PUT, path, handler, **kwargs) + + +def patch(path: str, handler: _HandlerType, **kwargs: Any) -> RouteDef: + return route(hdrs.METH_PATCH, path, handler, **kwargs) + + +def delete(path: str, handler: _HandlerType, **kwargs: Any) -> RouteDef: + return route(hdrs.METH_DELETE, path, handler, **kwargs) + + +def view(path: str, handler: Type[AbstractView], **kwargs: Any) -> RouteDef: + return route(hdrs.METH_ANY, path, handler, **kwargs) + + +def static(prefix: str, path: PathLike, **kwargs: Any) -> StaticDef: + return StaticDef(prefix, path, kwargs) + + +_Deco = Callable[[_HandlerType], _HandlerType] + + +class RouteTableDef(Sequence[AbstractRouteDef]): + """Route definition table""" + + def __init__(self) -> None: + self._items: List[AbstractRouteDef] = [] + + def __repr__(self) -> str: + return f"" + + @overload + def __getitem__(self, index: int) -> AbstractRouteDef: ... + + @overload + def __getitem__(self, index: slice) -> List[AbstractRouteDef]: ... + + def __getitem__(self, index): # type: ignore[no-untyped-def] + return self._items[index] + + def __iter__(self) -> Iterator[AbstractRouteDef]: + return iter(self._items) + + def __len__(self) -> int: + return len(self._items) + + def __contains__(self, item: object) -> bool: + return item in self._items + + def route(self, method: str, path: str, **kwargs: Any) -> _Deco: + def inner(handler: _HandlerType) -> _HandlerType: + self._items.append(RouteDef(method, path, handler, kwargs)) + return handler + + return inner + + def head(self, path: str, **kwargs: Any) -> _Deco: + return self.route(hdrs.METH_HEAD, path, **kwargs) + + def get(self, path: str, **kwargs: Any) -> _Deco: + return self.route(hdrs.METH_GET, path, **kwargs) + + def post(self, path: str, **kwargs: Any) -> _Deco: + return self.route(hdrs.METH_POST, path, **kwargs) + + def put(self, path: str, **kwargs: Any) -> _Deco: + return self.route(hdrs.METH_PUT, path, **kwargs) + + def patch(self, path: str, **kwargs: Any) -> _Deco: + return self.route(hdrs.METH_PATCH, path, **kwargs) + + def delete(self, path: str, **kwargs: Any) -> _Deco: + return self.route(hdrs.METH_DELETE, path, **kwargs) + + def options(self, path: str, **kwargs: Any) -> _Deco: + return self.route(hdrs.METH_OPTIONS, path, **kwargs) + + def view(self, path: str, **kwargs: Any) -> _Deco: + return self.route(hdrs.METH_ANY, path, **kwargs) + + def static(self, prefix: str, path: PathLike, **kwargs: Any) -> None: + self._items.append(StaticDef(prefix, path, kwargs)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_runner.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_runner.py new file mode 100644 index 0000000000000000000000000000000000000000..bcfec727c8419bbc6518085ecedde1f7de8992c9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_runner.py @@ -0,0 +1,399 @@ +import asyncio +import signal +import socket +import warnings +from abc import ABC, abstractmethod +from typing import TYPE_CHECKING, Any, List, Optional, Set + +from yarl import URL + +from .typedefs import PathLike +from .web_app import Application +from .web_server import Server + +if TYPE_CHECKING: + from ssl import SSLContext +else: + try: + from ssl import SSLContext + except ImportError: # pragma: no cover + SSLContext = object # type: ignore[misc,assignment] + +__all__ = ( + "BaseSite", + "TCPSite", + "UnixSite", + "NamedPipeSite", + "SockSite", + "BaseRunner", + "AppRunner", + "ServerRunner", + "GracefulExit", +) + + +class GracefulExit(SystemExit): + code = 1 + + +def _raise_graceful_exit() -> None: + raise GracefulExit() + + +class BaseSite(ABC): + __slots__ = ("_runner", "_ssl_context", "_backlog", "_server") + + def __init__( + self, + runner: "BaseRunner", + *, + shutdown_timeout: float = 60.0, + ssl_context: Optional[SSLContext] = None, + backlog: int = 128, + ) -> None: + if runner.server is None: + raise RuntimeError("Call runner.setup() before making a site") + if shutdown_timeout != 60.0: + msg = "shutdown_timeout should be set on BaseRunner" + warnings.warn(msg, DeprecationWarning, stacklevel=2) + runner._shutdown_timeout = shutdown_timeout + self._runner = runner + self._ssl_context = ssl_context + self._backlog = backlog + self._server: Optional[asyncio.AbstractServer] = None + + @property + @abstractmethod + def name(self) -> str: + pass # pragma: no cover + + @abstractmethod + async def start(self) -> None: + self._runner._reg_site(self) + + async def stop(self) -> None: + self._runner._check_site(self) + if self._server is not None: # Maybe not started yet + self._server.close() + + self._runner._unreg_site(self) + + +class TCPSite(BaseSite): + __slots__ = ("_host", "_port", "_reuse_address", "_reuse_port") + + def __init__( + self, + runner: "BaseRunner", + host: Optional[str] = None, + port: Optional[int] = None, + *, + shutdown_timeout: float = 60.0, + ssl_context: Optional[SSLContext] = None, + backlog: int = 128, + reuse_address: Optional[bool] = None, + reuse_port: Optional[bool] = None, + ) -> None: + super().__init__( + runner, + shutdown_timeout=shutdown_timeout, + ssl_context=ssl_context, + backlog=backlog, + ) + self._host = host + if port is None: + port = 8443 if self._ssl_context else 8080 + self._port = port + self._reuse_address = reuse_address + self._reuse_port = reuse_port + + @property + def name(self) -> str: + scheme = "https" if self._ssl_context else "http" + host = "0.0.0.0" if not self._host else self._host + return str(URL.build(scheme=scheme, host=host, port=self._port)) + + async def start(self) -> None: + await super().start() + loop = asyncio.get_event_loop() + server = self._runner.server + assert server is not None + self._server = await loop.create_server( + server, + self._host, + self._port, + ssl=self._ssl_context, + backlog=self._backlog, + reuse_address=self._reuse_address, + reuse_port=self._reuse_port, + ) + + +class UnixSite(BaseSite): + __slots__ = ("_path",) + + def __init__( + self, + runner: "BaseRunner", + path: PathLike, + *, + shutdown_timeout: float = 60.0, + ssl_context: Optional[SSLContext] = None, + backlog: int = 128, + ) -> None: + super().__init__( + runner, + shutdown_timeout=shutdown_timeout, + ssl_context=ssl_context, + backlog=backlog, + ) + self._path = path + + @property + def name(self) -> str: + scheme = "https" if self._ssl_context else "http" + return f"{scheme}://unix:{self._path}:" + + async def start(self) -> None: + await super().start() + loop = asyncio.get_event_loop() + server = self._runner.server + assert server is not None + self._server = await loop.create_unix_server( + server, + self._path, + ssl=self._ssl_context, + backlog=self._backlog, + ) + + +class NamedPipeSite(BaseSite): + __slots__ = ("_path",) + + def __init__( + self, runner: "BaseRunner", path: str, *, shutdown_timeout: float = 60.0 + ) -> None: + loop = asyncio.get_event_loop() + if not isinstance( + loop, asyncio.ProactorEventLoop # type: ignore[attr-defined] + ): + raise RuntimeError( + "Named Pipes only available in proactor loop under windows" + ) + super().__init__(runner, shutdown_timeout=shutdown_timeout) + self._path = path + + @property + def name(self) -> str: + return self._path + + async def start(self) -> None: + await super().start() + loop = asyncio.get_event_loop() + server = self._runner.server + assert server is not None + _server = await loop.start_serving_pipe( # type: ignore[attr-defined] + server, self._path + ) + self._server = _server[0] + + +class SockSite(BaseSite): + __slots__ = ("_sock", "_name") + + def __init__( + self, + runner: "BaseRunner", + sock: socket.socket, + *, + shutdown_timeout: float = 60.0, + ssl_context: Optional[SSLContext] = None, + backlog: int = 128, + ) -> None: + super().__init__( + runner, + shutdown_timeout=shutdown_timeout, + ssl_context=ssl_context, + backlog=backlog, + ) + self._sock = sock + scheme = "https" if self._ssl_context else "http" + if hasattr(socket, "AF_UNIX") and sock.family == socket.AF_UNIX: + name = f"{scheme}://unix:{sock.getsockname()}:" + else: + host, port = sock.getsockname()[:2] + name = str(URL.build(scheme=scheme, host=host, port=port)) + self._name = name + + @property + def name(self) -> str: + return self._name + + async def start(self) -> None: + await super().start() + loop = asyncio.get_event_loop() + server = self._runner.server + assert server is not None + self._server = await loop.create_server( + server, sock=self._sock, ssl=self._ssl_context, backlog=self._backlog + ) + + +class BaseRunner(ABC): + __slots__ = ("_handle_signals", "_kwargs", "_server", "_sites", "_shutdown_timeout") + + def __init__( + self, + *, + handle_signals: bool = False, + shutdown_timeout: float = 60.0, + **kwargs: Any, + ) -> None: + self._handle_signals = handle_signals + self._kwargs = kwargs + self._server: Optional[Server] = None + self._sites: List[BaseSite] = [] + self._shutdown_timeout = shutdown_timeout + + @property + def server(self) -> Optional[Server]: + return self._server + + @property + def addresses(self) -> List[Any]: + ret: List[Any] = [] + for site in self._sites: + server = site._server + if server is not None: + sockets = server.sockets # type: ignore[attr-defined] + if sockets is not None: + for sock in sockets: + ret.append(sock.getsockname()) + return ret + + @property + def sites(self) -> Set[BaseSite]: + return set(self._sites) + + async def setup(self) -> None: + loop = asyncio.get_event_loop() + + if self._handle_signals: + try: + loop.add_signal_handler(signal.SIGINT, _raise_graceful_exit) + loop.add_signal_handler(signal.SIGTERM, _raise_graceful_exit) + except NotImplementedError: # pragma: no cover + # add_signal_handler is not implemented on Windows + pass + + self._server = await self._make_server() + + @abstractmethod + async def shutdown(self) -> None: + """Call any shutdown hooks to help server close gracefully.""" + + async def cleanup(self) -> None: + # The loop over sites is intentional, an exception on gather() + # leaves self._sites in unpredictable state. + # The loop guaranties that a site is either deleted on success or + # still present on failure + for site in list(self._sites): + await site.stop() + + if self._server: # If setup succeeded + # Yield to event loop to ensure incoming requests prior to stopping the sites + # have all started to be handled before we proceed to close idle connections. + await asyncio.sleep(0) + self._server.pre_shutdown() + await self.shutdown() + await self._server.shutdown(self._shutdown_timeout) + await self._cleanup_server() + + self._server = None + if self._handle_signals: + loop = asyncio.get_running_loop() + try: + loop.remove_signal_handler(signal.SIGINT) + loop.remove_signal_handler(signal.SIGTERM) + except NotImplementedError: # pragma: no cover + # remove_signal_handler is not implemented on Windows + pass + + @abstractmethod + async def _make_server(self) -> Server: + pass # pragma: no cover + + @abstractmethod + async def _cleanup_server(self) -> None: + pass # pragma: no cover + + def _reg_site(self, site: BaseSite) -> None: + if site in self._sites: + raise RuntimeError(f"Site {site} is already registered in runner {self}") + self._sites.append(site) + + def _check_site(self, site: BaseSite) -> None: + if site not in self._sites: + raise RuntimeError(f"Site {site} is not registered in runner {self}") + + def _unreg_site(self, site: BaseSite) -> None: + if site not in self._sites: + raise RuntimeError(f"Site {site} is not registered in runner {self}") + self._sites.remove(site) + + +class ServerRunner(BaseRunner): + """Low-level web server runner""" + + __slots__ = ("_web_server",) + + def __init__( + self, web_server: Server, *, handle_signals: bool = False, **kwargs: Any + ) -> None: + super().__init__(handle_signals=handle_signals, **kwargs) + self._web_server = web_server + + async def shutdown(self) -> None: + pass + + async def _make_server(self) -> Server: + return self._web_server + + async def _cleanup_server(self) -> None: + pass + + +class AppRunner(BaseRunner): + """Web Application runner""" + + __slots__ = ("_app",) + + def __init__( + self, app: Application, *, handle_signals: bool = False, **kwargs: Any + ) -> None: + super().__init__(handle_signals=handle_signals, **kwargs) + if not isinstance(app, Application): + raise TypeError( + "The first argument should be web.Application " + "instance, got {!r}".format(app) + ) + self._app = app + + @property + def app(self) -> Application: + return self._app + + async def shutdown(self) -> None: + await self._app.shutdown() + + async def _make_server(self) -> Server: + loop = asyncio.get_event_loop() + self._app._set_loop(loop) + self._app.on_startup.freeze() + await self._app.startup() + self._app.freeze() + + return self._app._make_handler(loop=loop, **self._kwargs) + + async def _cleanup_server(self) -> None: + await self._app.cleanup() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_server.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_server.py new file mode 100644 index 0000000000000000000000000000000000000000..328aca1e405ef87e4df8a992c32eac092b4af8f0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_server.py @@ -0,0 +1,84 @@ +"""Low level HTTP server.""" + +import asyncio +from typing import Any, Awaitable, Callable, Dict, List, Optional # noqa + +from .abc import AbstractStreamWriter +from .http_parser import RawRequestMessage +from .streams import StreamReader +from .web_protocol import RequestHandler, _RequestFactory, _RequestHandler +from .web_request import BaseRequest + +__all__ = ("Server",) + + +class Server: + def __init__( + self, + handler: _RequestHandler, + *, + request_factory: Optional[_RequestFactory] = None, + handler_cancellation: bool = False, + loop: Optional[asyncio.AbstractEventLoop] = None, + **kwargs: Any, + ) -> None: + self._loop = loop or asyncio.get_running_loop() + self._connections: Dict[RequestHandler, asyncio.Transport] = {} + self._kwargs = kwargs + # requests_count is the number of requests being processed by the server + # for the lifetime of the server. + self.requests_count = 0 + self.request_handler = handler + self.request_factory = request_factory or self._make_request + self.handler_cancellation = handler_cancellation + + @property + def connections(self) -> List[RequestHandler]: + return list(self._connections.keys()) + + def connection_made( + self, handler: RequestHandler, transport: asyncio.Transport + ) -> None: + self._connections[handler] = transport + + def connection_lost( + self, handler: RequestHandler, exc: Optional[BaseException] = None + ) -> None: + if handler in self._connections: + if handler._task_handler: + handler._task_handler.add_done_callback( + lambda f: self._connections.pop(handler, None) + ) + else: + del self._connections[handler] + + def _make_request( + self, + message: RawRequestMessage, + payload: StreamReader, + protocol: RequestHandler, + writer: AbstractStreamWriter, + task: "asyncio.Task[None]", + ) -> BaseRequest: + return BaseRequest(message, payload, protocol, writer, task, self._loop) + + def pre_shutdown(self) -> None: + for conn in self._connections: + conn.close() + + async def shutdown(self, timeout: Optional[float] = None) -> None: + coros = (conn.shutdown(timeout) for conn in self._connections) + await asyncio.gather(*coros) + self._connections.clear() + + def __call__(self) -> RequestHandler: + try: + return RequestHandler(self, loop=self._loop, **self._kwargs) + except TypeError: + # Failsafe creation: remove all custom handler_args + kwargs = { + k: v + for k, v in self._kwargs.items() + if k in ["debug", "access_log_class"] + } + return RequestHandler(self, loop=self._loop, **kwargs) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_urldispatcher.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_urldispatcher.py new file mode 100644 index 0000000000000000000000000000000000000000..cfa57a310046c78636d1872f6e4c2e27b6a18a76 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_urldispatcher.py @@ -0,0 +1,1305 @@ +import abc +import asyncio +import base64 +import functools +import hashlib +import html +import inspect +import keyword +import os +import platform +import re +import sys +import warnings +from functools import wraps +from pathlib import Path +from types import MappingProxyType +from typing import ( + TYPE_CHECKING, + Any, + Awaitable, + Callable, + Container, + Dict, + Final, + Generator, + Iterable, + Iterator, + List, + Mapping, + NoReturn, + Optional, + Pattern, + Set, + Sized, + Tuple, + Type, + TypedDict, + Union, + cast, +) + +from yarl import URL, __version__ as yarl_version + +from . import hdrs +from .abc import AbstractMatchInfo, AbstractRouter, AbstractView +from .helpers import DEBUG +from .http import HttpVersion11 +from .typedefs import Handler, PathLike +from .web_exceptions import ( + HTTPException, + HTTPExpectationFailed, + HTTPForbidden, + HTTPMethodNotAllowed, + HTTPNotFound, +) +from .web_fileresponse import FileResponse +from .web_request import Request +from .web_response import Response, StreamResponse +from .web_routedef import AbstractRouteDef + +__all__ = ( + "UrlDispatcher", + "UrlMappingMatchInfo", + "AbstractResource", + "Resource", + "PlainResource", + "DynamicResource", + "AbstractRoute", + "ResourceRoute", + "StaticResource", + "View", +) + + +if TYPE_CHECKING: + from .web_app import Application + + BaseDict = Dict[str, str] +else: + BaseDict = dict + +CIRCULAR_SYMLINK_ERROR = ( + (OSError,) + if sys.version_info < (3, 10) and sys.platform.startswith("win32") + else (RuntimeError,) if sys.version_info < (3, 13) else () +) + +YARL_VERSION: Final[Tuple[int, ...]] = tuple(map(int, yarl_version.split(".")[:2])) + +HTTP_METHOD_RE: Final[Pattern[str]] = re.compile( + r"^[0-9A-Za-z!#\$%&'\*\+\-\.\^_`\|~]+$" +) +ROUTE_RE: Final[Pattern[str]] = re.compile( + r"(\{[_a-zA-Z][^{}]*(?:\{[^{}]*\}[^{}]*)*\})" +) +PATH_SEP: Final[str] = re.escape("/") + +IS_WINDOWS: Final[bool] = platform.system() == "Windows" + +_ExpectHandler = Callable[[Request], Awaitable[Optional[StreamResponse]]] +_Resolve = Tuple[Optional["UrlMappingMatchInfo"], Set[str]] + +html_escape = functools.partial(html.escape, quote=True) + + +class _InfoDict(TypedDict, total=False): + path: str + + formatter: str + pattern: Pattern[str] + + directory: Path + prefix: str + routes: Mapping[str, "AbstractRoute"] + + app: "Application" + + domain: str + + rule: "AbstractRuleMatching" + + http_exception: HTTPException + + +class AbstractResource(Sized, Iterable["AbstractRoute"]): + def __init__(self, *, name: Optional[str] = None) -> None: + self._name = name + + @property + def name(self) -> Optional[str]: + return self._name + + @property + @abc.abstractmethod + def canonical(self) -> str: + """Exposes the resource's canonical path. + + For example '/foo/bar/{name}' + + """ + + @abc.abstractmethod # pragma: no branch + def url_for(self, **kwargs: str) -> URL: + """Construct url for resource with additional params.""" + + @abc.abstractmethod # pragma: no branch + async def resolve(self, request: Request) -> _Resolve: + """Resolve resource. + + Return (UrlMappingMatchInfo, allowed_methods) pair. + """ + + @abc.abstractmethod + def add_prefix(self, prefix: str) -> None: + """Add a prefix to processed URLs. + + Required for subapplications support. + """ + + @abc.abstractmethod + def get_info(self) -> _InfoDict: + """Return a dict with additional info useful for introspection""" + + def freeze(self) -> None: + pass + + @abc.abstractmethod + def raw_match(self, path: str) -> bool: + """Perform a raw match against path""" + + +class AbstractRoute(abc.ABC): + def __init__( + self, + method: str, + handler: Union[Handler, Type[AbstractView]], + *, + expect_handler: Optional[_ExpectHandler] = None, + resource: Optional[AbstractResource] = None, + ) -> None: + + if expect_handler is None: + expect_handler = _default_expect_handler + + assert inspect.iscoroutinefunction(expect_handler) or ( + sys.version_info < (3, 14) and asyncio.iscoroutinefunction(expect_handler) + ), f"Coroutine is expected, got {expect_handler!r}" + + method = method.upper() + if not HTTP_METHOD_RE.match(method): + raise ValueError(f"{method} is not allowed HTTP method") + + assert callable(handler), handler + if inspect.iscoroutinefunction(handler) or ( + sys.version_info < (3, 14) and asyncio.iscoroutinefunction(handler) + ): + pass + elif inspect.isgeneratorfunction(handler): + if TYPE_CHECKING: + assert False + warnings.warn( + "Bare generators are deprecated, use @coroutine wrapper", + DeprecationWarning, + ) + elif isinstance(handler, type) and issubclass(handler, AbstractView): + pass + else: + warnings.warn( + "Bare functions are deprecated, use async ones", DeprecationWarning + ) + + @wraps(handler) + async def handler_wrapper(request: Request) -> StreamResponse: + result = old_handler(request) # type: ignore[call-arg] + if asyncio.iscoroutine(result): + result = await result + assert isinstance(result, StreamResponse) + return result + + old_handler = handler + handler = handler_wrapper + + self._method = method + self._handler = handler + self._expect_handler = expect_handler + self._resource = resource + + @property + def method(self) -> str: + return self._method + + @property + def handler(self) -> Handler: + return self._handler + + @property + @abc.abstractmethod + def name(self) -> Optional[str]: + """Optional route's name, always equals to resource's name.""" + + @property + def resource(self) -> Optional[AbstractResource]: + return self._resource + + @abc.abstractmethod + def get_info(self) -> _InfoDict: + """Return a dict with additional info useful for introspection""" + + @abc.abstractmethod # pragma: no branch + def url_for(self, *args: str, **kwargs: str) -> URL: + """Construct url for route with additional params.""" + + async def handle_expect_header(self, request: Request) -> Optional[StreamResponse]: + return await self._expect_handler(request) + + +class UrlMappingMatchInfo(BaseDict, AbstractMatchInfo): + + __slots__ = ("_route", "_apps", "_current_app", "_frozen") + + def __init__(self, match_dict: Dict[str, str], route: AbstractRoute) -> None: + super().__init__(match_dict) + self._route = route + self._apps: List[Application] = [] + self._current_app: Optional[Application] = None + self._frozen = False + + @property + def handler(self) -> Handler: + return self._route.handler + + @property + def route(self) -> AbstractRoute: + return self._route + + @property + def expect_handler(self) -> _ExpectHandler: + return self._route.handle_expect_header + + @property + def http_exception(self) -> Optional[HTTPException]: + return None + + def get_info(self) -> _InfoDict: # type: ignore[override] + return self._route.get_info() + + @property + def apps(self) -> Tuple["Application", ...]: + return tuple(self._apps) + + def add_app(self, app: "Application") -> None: + if self._frozen: + raise RuntimeError("Cannot change apps stack after .freeze() call") + if self._current_app is None: + self._current_app = app + self._apps.insert(0, app) + + @property + def current_app(self) -> "Application": + app = self._current_app + assert app is not None + return app + + @current_app.setter + def current_app(self, app: "Application") -> None: + if DEBUG: # pragma: no cover + if app not in self._apps: + raise RuntimeError( + "Expected one of the following apps {!r}, got {!r}".format( + self._apps, app + ) + ) + self._current_app = app + + def freeze(self) -> None: + self._frozen = True + + def __repr__(self) -> str: + return f"" + + +class MatchInfoError(UrlMappingMatchInfo): + + __slots__ = ("_exception",) + + def __init__(self, http_exception: HTTPException) -> None: + self._exception = http_exception + super().__init__({}, SystemRoute(self._exception)) + + @property + def http_exception(self) -> HTTPException: + return self._exception + + def __repr__(self) -> str: + return "".format( + self._exception.status, self._exception.reason + ) + + +async def _default_expect_handler(request: Request) -> None: + """Default handler for Expect header. + + Just send "100 Continue" to client. + raise HTTPExpectationFailed if value of header is not "100-continue" + """ + expect = request.headers.get(hdrs.EXPECT, "") + if request.version == HttpVersion11: + if expect.lower() == "100-continue": + await request.writer.write(b"HTTP/1.1 100 Continue\r\n\r\n") + # Reset output_size as we haven't started the main body yet. + request.writer.output_size = 0 + else: + raise HTTPExpectationFailed(text="Unknown Expect: %s" % expect) + + +class Resource(AbstractResource): + def __init__(self, *, name: Optional[str] = None) -> None: + super().__init__(name=name) + self._routes: Dict[str, ResourceRoute] = {} + self._any_route: Optional[ResourceRoute] = None + self._allowed_methods: Set[str] = set() + + def add_route( + self, + method: str, + handler: Union[Type[AbstractView], Handler], + *, + expect_handler: Optional[_ExpectHandler] = None, + ) -> "ResourceRoute": + if route := self._routes.get(method, self._any_route): + raise RuntimeError( + "Added route will never be executed, " + f"method {route.method} is already " + "registered" + ) + + route_obj = ResourceRoute(method, handler, self, expect_handler=expect_handler) + self.register_route(route_obj) + return route_obj + + def register_route(self, route: "ResourceRoute") -> None: + assert isinstance( + route, ResourceRoute + ), f"Instance of Route class is required, got {route!r}" + if route.method == hdrs.METH_ANY: + self._any_route = route + self._allowed_methods.add(route.method) + self._routes[route.method] = route + + async def resolve(self, request: Request) -> _Resolve: + if (match_dict := self._match(request.rel_url.path_safe)) is None: + return None, set() + if route := self._routes.get(request.method, self._any_route): + return UrlMappingMatchInfo(match_dict, route), self._allowed_methods + return None, self._allowed_methods + + @abc.abstractmethod + def _match(self, path: str) -> Optional[Dict[str, str]]: + pass # pragma: no cover + + def __len__(self) -> int: + return len(self._routes) + + def __iter__(self) -> Iterator["ResourceRoute"]: + return iter(self._routes.values()) + + # TODO: implement all abstract methods + + +class PlainResource(Resource): + def __init__(self, path: str, *, name: Optional[str] = None) -> None: + super().__init__(name=name) + assert not path or path.startswith("/") + self._path = path + + @property + def canonical(self) -> str: + return self._path + + def freeze(self) -> None: + if not self._path: + self._path = "/" + + def add_prefix(self, prefix: str) -> None: + assert prefix.startswith("/") + assert not prefix.endswith("/") + assert len(prefix) > 1 + self._path = prefix + self._path + + def _match(self, path: str) -> Optional[Dict[str, str]]: + # string comparison is about 10 times faster than regexp matching + if self._path == path: + return {} + return None + + def raw_match(self, path: str) -> bool: + return self._path == path + + def get_info(self) -> _InfoDict: + return {"path": self._path} + + def url_for(self) -> URL: # type: ignore[override] + return URL.build(path=self._path, encoded=True) + + def __repr__(self) -> str: + name = "'" + self.name + "' " if self.name is not None else "" + return f"" + + +class DynamicResource(Resource): + + DYN = re.compile(r"\{(?P[_a-zA-Z][_a-zA-Z0-9]*)\}") + DYN_WITH_RE = re.compile(r"\{(?P[_a-zA-Z][_a-zA-Z0-9]*):(?P.+)\}") + GOOD = r"[^{}/]+" + + def __init__(self, path: str, *, name: Optional[str] = None) -> None: + super().__init__(name=name) + self._orig_path = path + pattern = "" + formatter = "" + for part in ROUTE_RE.split(path): + match = self.DYN.fullmatch(part) + if match: + pattern += "(?P<{}>{})".format(match.group("var"), self.GOOD) + formatter += "{" + match.group("var") + "}" + continue + + match = self.DYN_WITH_RE.fullmatch(part) + if match: + pattern += "(?P<{var}>{re})".format(**match.groupdict()) + formatter += "{" + match.group("var") + "}" + continue + + if "{" in part or "}" in part: + raise ValueError(f"Invalid path '{path}'['{part}']") + + part = _requote_path(part) + formatter += part + pattern += re.escape(part) + + try: + compiled = re.compile(pattern) + except re.error as exc: + raise ValueError(f"Bad pattern '{pattern}': {exc}") from None + assert compiled.pattern.startswith(PATH_SEP) + assert formatter.startswith("/") + self._pattern = compiled + self._formatter = formatter + + @property + def canonical(self) -> str: + return self._formatter + + def add_prefix(self, prefix: str) -> None: + assert prefix.startswith("/") + assert not prefix.endswith("/") + assert len(prefix) > 1 + self._pattern = re.compile(re.escape(prefix) + self._pattern.pattern) + self._formatter = prefix + self._formatter + + def _match(self, path: str) -> Optional[Dict[str, str]]: + match = self._pattern.fullmatch(path) + if match is None: + return None + return { + key: _unquote_path_safe(value) for key, value in match.groupdict().items() + } + + def raw_match(self, path: str) -> bool: + return self._orig_path == path + + def get_info(self) -> _InfoDict: + return {"formatter": self._formatter, "pattern": self._pattern} + + def url_for(self, **parts: str) -> URL: + url = self._formatter.format_map({k: _quote_path(v) for k, v in parts.items()}) + return URL.build(path=url, encoded=True) + + def __repr__(self) -> str: + name = "'" + self.name + "' " if self.name is not None else "" + return "".format( + name=name, formatter=self._formatter + ) + + +class PrefixResource(AbstractResource): + def __init__(self, prefix: str, *, name: Optional[str] = None) -> None: + assert not prefix or prefix.startswith("/"), prefix + assert prefix in ("", "/") or not prefix.endswith("/"), prefix + super().__init__(name=name) + self._prefix = _requote_path(prefix) + self._prefix2 = self._prefix + "/" + + @property + def canonical(self) -> str: + return self._prefix + + def add_prefix(self, prefix: str) -> None: + assert prefix.startswith("/") + assert not prefix.endswith("/") + assert len(prefix) > 1 + self._prefix = prefix + self._prefix + self._prefix2 = self._prefix + "/" + + def raw_match(self, prefix: str) -> bool: + return False + + # TODO: impl missing abstract methods + + +class StaticResource(PrefixResource): + VERSION_KEY = "v" + + def __init__( + self, + prefix: str, + directory: PathLike, + *, + name: Optional[str] = None, + expect_handler: Optional[_ExpectHandler] = None, + chunk_size: int = 256 * 1024, + show_index: bool = False, + follow_symlinks: bool = False, + append_version: bool = False, + ) -> None: + super().__init__(prefix, name=name) + try: + directory = Path(directory).expanduser().resolve(strict=True) + except FileNotFoundError as error: + raise ValueError(f"'{directory}' does not exist") from error + if not directory.is_dir(): + raise ValueError(f"'{directory}' is not a directory") + self._directory = directory + self._show_index = show_index + self._chunk_size = chunk_size + self._follow_symlinks = follow_symlinks + self._expect_handler = expect_handler + self._append_version = append_version + + self._routes = { + "GET": ResourceRoute( + "GET", self._handle, self, expect_handler=expect_handler + ), + "HEAD": ResourceRoute( + "HEAD", self._handle, self, expect_handler=expect_handler + ), + } + self._allowed_methods = set(self._routes) + + def url_for( # type: ignore[override] + self, + *, + filename: PathLike, + append_version: Optional[bool] = None, + ) -> URL: + if append_version is None: + append_version = self._append_version + filename = str(filename).lstrip("/") + + url = URL.build(path=self._prefix, encoded=True) + # filename is not encoded + if YARL_VERSION < (1, 6): + url = url / filename.replace("%", "%25") + else: + url = url / filename + + if append_version: + unresolved_path = self._directory.joinpath(filename) + try: + if self._follow_symlinks: + normalized_path = Path(os.path.normpath(unresolved_path)) + normalized_path.relative_to(self._directory) + filepath = normalized_path.resolve() + else: + filepath = unresolved_path.resolve() + filepath.relative_to(self._directory) + except (ValueError, FileNotFoundError): + # ValueError for case when path point to symlink + # with follow_symlinks is False + return url # relatively safe + if filepath.is_file(): + # TODO cache file content + # with file watcher for cache invalidation + with filepath.open("rb") as f: + file_bytes = f.read() + h = self._get_file_hash(file_bytes) + url = url.with_query({self.VERSION_KEY: h}) + return url + return url + + @staticmethod + def _get_file_hash(byte_array: bytes) -> str: + m = hashlib.sha256() # todo sha256 can be configurable param + m.update(byte_array) + b64 = base64.urlsafe_b64encode(m.digest()) + return b64.decode("ascii") + + def get_info(self) -> _InfoDict: + return { + "directory": self._directory, + "prefix": self._prefix, + "routes": self._routes, + } + + def set_options_route(self, handler: Handler) -> None: + if "OPTIONS" in self._routes: + raise RuntimeError("OPTIONS route was set already") + self._routes["OPTIONS"] = ResourceRoute( + "OPTIONS", handler, self, expect_handler=self._expect_handler + ) + self._allowed_methods.add("OPTIONS") + + async def resolve(self, request: Request) -> _Resolve: + path = request.rel_url.path_safe + method = request.method + # We normalise here to avoid matches that traverse below the static root. + # e.g. /static/../../../../home/user/webapp/static/ + norm_path = os.path.normpath(path) + if IS_WINDOWS: + norm_path = norm_path.replace("\\", "/") + if not norm_path.startswith(self._prefix2) and norm_path != self._prefix: + return None, set() + + allowed_methods = self._allowed_methods + if method not in allowed_methods: + return None, allowed_methods + + match_dict = {"filename": _unquote_path_safe(path[len(self._prefix) + 1 :])} + return (UrlMappingMatchInfo(match_dict, self._routes[method]), allowed_methods) + + def __len__(self) -> int: + return len(self._routes) + + def __iter__(self) -> Iterator[AbstractRoute]: + return iter(self._routes.values()) + + async def _handle(self, request: Request) -> StreamResponse: + filename = request.match_info["filename"] + unresolved_path = self._directory.joinpath(filename) + loop = asyncio.get_running_loop() + return await loop.run_in_executor( + None, self._resolve_path_to_response, unresolved_path + ) + + def _resolve_path_to_response(self, unresolved_path: Path) -> StreamResponse: + """Take the unresolved path and query the file system to form a response.""" + # Check for access outside the root directory. For follow symlinks, URI + # cannot traverse out, but symlinks can. Otherwise, no access outside + # root is permitted. + try: + if self._follow_symlinks: + normalized_path = Path(os.path.normpath(unresolved_path)) + normalized_path.relative_to(self._directory) + file_path = normalized_path.resolve() + else: + file_path = unresolved_path.resolve() + file_path.relative_to(self._directory) + except (ValueError, *CIRCULAR_SYMLINK_ERROR) as error: + # ValueError is raised for the relative check. Circular symlinks + # raise here on resolving for python < 3.13. + raise HTTPNotFound() from error + + # if path is a directory, return the contents if permitted. Note the + # directory check will raise if a segment is not readable. + try: + if file_path.is_dir(): + if self._show_index: + return Response( + text=self._directory_as_html(file_path), + content_type="text/html", + ) + else: + raise HTTPForbidden() + except PermissionError as error: + raise HTTPForbidden() from error + + # Return the file response, which handles all other checks. + return FileResponse(file_path, chunk_size=self._chunk_size) + + def _directory_as_html(self, dir_path: Path) -> str: + """returns directory's index as html.""" + assert dir_path.is_dir() + + relative_path_to_dir = dir_path.relative_to(self._directory).as_posix() + index_of = f"Index of /{html_escape(relative_path_to_dir)}" + h1 = f"

{index_of}

" + + index_list = [] + dir_index = dir_path.iterdir() + for _file in sorted(dir_index): + # show file url as relative to static path + rel_path = _file.relative_to(self._directory).as_posix() + quoted_file_url = _quote_path(f"{self._prefix}/{rel_path}") + + # if file is a directory, add '/' to the end of the name + if _file.is_dir(): + file_name = f"{_file.name}/" + else: + file_name = _file.name + + index_list.append( + f'
  • {html_escape(file_name)}
    • ' + ) + ul = "
      \n{}\n
    ".format("\n".join(index_list)) + body = f"\n{h1}\n{ul}\n" + + head_str = f"\n{index_of}\n" + html = f"\n{head_str}\n{body}\n" + + return html + + def __repr__(self) -> str: + name = "'" + self.name + "'" if self.name is not None else "" + return " {directory!r}>".format( + name=name, path=self._prefix, directory=self._directory + ) + + +class PrefixedSubAppResource(PrefixResource): + def __init__(self, prefix: str, app: "Application") -> None: + super().__init__(prefix) + self._app = app + self._add_prefix_to_resources(prefix) + + def add_prefix(self, prefix: str) -> None: + super().add_prefix(prefix) + self._add_prefix_to_resources(prefix) + + def _add_prefix_to_resources(self, prefix: str) -> None: + router = self._app.router + for resource in router.resources(): + # Since the canonical path of a resource is about + # to change, we need to unindex it and then reindex + router.unindex_resource(resource) + resource.add_prefix(prefix) + router.index_resource(resource) + + def url_for(self, *args: str, **kwargs: str) -> URL: + raise RuntimeError(".url_for() is not supported by sub-application root") + + def get_info(self) -> _InfoDict: + return {"app": self._app, "prefix": self._prefix} + + async def resolve(self, request: Request) -> _Resolve: + match_info = await self._app.router.resolve(request) + match_info.add_app(self._app) + if isinstance(match_info.http_exception, HTTPMethodNotAllowed): + methods = match_info.http_exception.allowed_methods + else: + methods = set() + return match_info, methods + + def __len__(self) -> int: + return len(self._app.router.routes()) + + def __iter__(self) -> Iterator[AbstractRoute]: + return iter(self._app.router.routes()) + + def __repr__(self) -> str: + return " {app!r}>".format( + prefix=self._prefix, app=self._app + ) + + +class AbstractRuleMatching(abc.ABC): + @abc.abstractmethod # pragma: no branch + async def match(self, request: Request) -> bool: + """Return bool if the request satisfies the criteria""" + + @abc.abstractmethod # pragma: no branch + def get_info(self) -> _InfoDict: + """Return a dict with additional info useful for introspection""" + + @property + @abc.abstractmethod # pragma: no branch + def canonical(self) -> str: + """Return a str""" + + +class Domain(AbstractRuleMatching): + re_part = re.compile(r"(?!-)[a-z\d-]{1,63}(? None: + super().__init__() + self._domain = self.validation(domain) + + @property + def canonical(self) -> str: + return self._domain + + def validation(self, domain: str) -> str: + if not isinstance(domain, str): + raise TypeError("Domain must be str") + domain = domain.rstrip(".").lower() + if not domain: + raise ValueError("Domain cannot be empty") + elif "://" in domain: + raise ValueError("Scheme not supported") + url = URL("http://" + domain) + assert url.raw_host is not None + if not all(self.re_part.fullmatch(x) for x in url.raw_host.split(".")): + raise ValueError("Domain not valid") + if url.port == 80: + return url.raw_host + return f"{url.raw_host}:{url.port}" + + async def match(self, request: Request) -> bool: + host = request.headers.get(hdrs.HOST) + if not host: + return False + return self.match_domain(host) + + def match_domain(self, host: str) -> bool: + return host.lower() == self._domain + + def get_info(self) -> _InfoDict: + return {"domain": self._domain} + + +class MaskDomain(Domain): + re_part = re.compile(r"(?!-)[a-z\d\*-]{1,63}(? None: + super().__init__(domain) + mask = self._domain.replace(".", r"\.").replace("*", ".*") + self._mask = re.compile(mask) + + @property + def canonical(self) -> str: + return self._mask.pattern + + def match_domain(self, host: str) -> bool: + return self._mask.fullmatch(host) is not None + + +class MatchedSubAppResource(PrefixedSubAppResource): + def __init__(self, rule: AbstractRuleMatching, app: "Application") -> None: + AbstractResource.__init__(self) + self._prefix = "" + self._app = app + self._rule = rule + + @property + def canonical(self) -> str: + return self._rule.canonical + + def get_info(self) -> _InfoDict: + return {"app": self._app, "rule": self._rule} + + async def resolve(self, request: Request) -> _Resolve: + if not await self._rule.match(request): + return None, set() + match_info = await self._app.router.resolve(request) + match_info.add_app(self._app) + if isinstance(match_info.http_exception, HTTPMethodNotAllowed): + methods = match_info.http_exception.allowed_methods + else: + methods = set() + return match_info, methods + + def __repr__(self) -> str: + return f" {self._app!r}>" + + +class ResourceRoute(AbstractRoute): + """A route with resource""" + + def __init__( + self, + method: str, + handler: Union[Handler, Type[AbstractView]], + resource: AbstractResource, + *, + expect_handler: Optional[_ExpectHandler] = None, + ) -> None: + super().__init__( + method, handler, expect_handler=expect_handler, resource=resource + ) + + def __repr__(self) -> str: + return " {handler!r}".format( + method=self.method, resource=self._resource, handler=self.handler + ) + + @property + def name(self) -> Optional[str]: + if self._resource is None: + return None + return self._resource.name + + def url_for(self, *args: str, **kwargs: str) -> URL: + """Construct url for route with additional params.""" + assert self._resource is not None + return self._resource.url_for(*args, **kwargs) + + def get_info(self) -> _InfoDict: + assert self._resource is not None + return self._resource.get_info() + + +class SystemRoute(AbstractRoute): + def __init__(self, http_exception: HTTPException) -> None: + super().__init__(hdrs.METH_ANY, self._handle) + self._http_exception = http_exception + + def url_for(self, *args: str, **kwargs: str) -> URL: + raise RuntimeError(".url_for() is not allowed for SystemRoute") + + @property + def name(self) -> Optional[str]: + return None + + def get_info(self) -> _InfoDict: + return {"http_exception": self._http_exception} + + async def _handle(self, request: Request) -> StreamResponse: + raise self._http_exception + + @property + def status(self) -> int: + return self._http_exception.status + + @property + def reason(self) -> str: + return self._http_exception.reason + + def __repr__(self) -> str: + return "".format(self=self) + + +class View(AbstractView): + async def _iter(self) -> StreamResponse: + if self.request.method not in hdrs.METH_ALL: + self._raise_allowed_methods() + method: Optional[Callable[[], Awaitable[StreamResponse]]] + method = getattr(self, self.request.method.lower(), None) + if method is None: + self._raise_allowed_methods() + ret = await method() + assert isinstance(ret, StreamResponse) + return ret + + def __await__(self) -> Generator[None, None, StreamResponse]: + return self._iter().__await__() + + def _raise_allowed_methods(self) -> NoReturn: + allowed_methods = {m for m in hdrs.METH_ALL if hasattr(self, m.lower())} + raise HTTPMethodNotAllowed(self.request.method, allowed_methods) + + +class ResourcesView(Sized, Iterable[AbstractResource], Container[AbstractResource]): + def __init__(self, resources: List[AbstractResource]) -> None: + self._resources = resources + + def __len__(self) -> int: + return len(self._resources) + + def __iter__(self) -> Iterator[AbstractResource]: + yield from self._resources + + def __contains__(self, resource: object) -> bool: + return resource in self._resources + + +class RoutesView(Sized, Iterable[AbstractRoute], Container[AbstractRoute]): + def __init__(self, resources: List[AbstractResource]): + self._routes: List[AbstractRoute] = [] + for resource in resources: + for route in resource: + self._routes.append(route) + + def __len__(self) -> int: + return len(self._routes) + + def __iter__(self) -> Iterator[AbstractRoute]: + yield from self._routes + + def __contains__(self, route: object) -> bool: + return route in self._routes + + +class UrlDispatcher(AbstractRouter, Mapping[str, AbstractResource]): + + NAME_SPLIT_RE = re.compile(r"[.:-]") + + def __init__(self) -> None: + super().__init__() + self._resources: List[AbstractResource] = [] + self._named_resources: Dict[str, AbstractResource] = {} + self._resource_index: dict[str, list[AbstractResource]] = {} + self._matched_sub_app_resources: List[MatchedSubAppResource] = [] + + async def resolve(self, request: Request) -> UrlMappingMatchInfo: + resource_index = self._resource_index + allowed_methods: Set[str] = set() + + # MatchedSubAppResource is primarily used to match on domain names + # (though custom rules could match on other things). This means that + # the traversal algorithm below can't be applied, and that we likely + # need to check these first so a sub app that defines the same path + # as a parent app will get priority if there's a domain match. + # + # For most cases we do not expect there to be many of these since + # currently they are only added by `.add_domain()`. + for resource in self._matched_sub_app_resources: + match_dict, allowed = await resource.resolve(request) + if match_dict is not None: + return match_dict + else: + allowed_methods |= allowed + + # Walk the url parts looking for candidates. We walk the url backwards + # to ensure the most explicit match is found first. If there are multiple + # candidates for a given url part because there are multiple resources + # registered for the same canonical path, we resolve them in a linear + # fashion to ensure registration order is respected. + url_part = request.rel_url.path_safe + while url_part: + for candidate in resource_index.get(url_part, ()): + match_dict, allowed = await candidate.resolve(request) + if match_dict is not None: + return match_dict + else: + allowed_methods |= allowed + if url_part == "/": + break + url_part = url_part.rpartition("/")[0] or "/" + + if allowed_methods: + return MatchInfoError(HTTPMethodNotAllowed(request.method, allowed_methods)) + + return MatchInfoError(HTTPNotFound()) + + def __iter__(self) -> Iterator[str]: + return iter(self._named_resources) + + def __len__(self) -> int: + return len(self._named_resources) + + def __contains__(self, resource: object) -> bool: + return resource in self._named_resources + + def __getitem__(self, name: str) -> AbstractResource: + return self._named_resources[name] + + def resources(self) -> ResourcesView: + return ResourcesView(self._resources) + + def routes(self) -> RoutesView: + return RoutesView(self._resources) + + def named_resources(self) -> Mapping[str, AbstractResource]: + return MappingProxyType(self._named_resources) + + def register_resource(self, resource: AbstractResource) -> None: + assert isinstance( + resource, AbstractResource + ), f"Instance of AbstractResource class is required, got {resource!r}" + if self.frozen: + raise RuntimeError("Cannot register a resource into frozen router.") + + name = resource.name + + if name is not None: + parts = self.NAME_SPLIT_RE.split(name) + for part in parts: + if keyword.iskeyword(part): + raise ValueError( + f"Incorrect route name {name!r}, " + "python keywords cannot be used " + "for route name" + ) + if not part.isidentifier(): + raise ValueError( + "Incorrect route name {!r}, " + "the name should be a sequence of " + "python identifiers separated " + "by dash, dot or column".format(name) + ) + if name in self._named_resources: + raise ValueError( + "Duplicate {!r}, " + "already handled by {!r}".format(name, self._named_resources[name]) + ) + self._named_resources[name] = resource + self._resources.append(resource) + + if isinstance(resource, MatchedSubAppResource): + # We cannot index match sub-app resources because they have match rules + self._matched_sub_app_resources.append(resource) + else: + self.index_resource(resource) + + def _get_resource_index_key(self, resource: AbstractResource) -> str: + """Return a key to index the resource in the resource index.""" + if "{" in (index_key := resource.canonical): + # strip at the first { to allow for variables, and than + # rpartition at / to allow for variable parts in the path + # For example if the canonical path is `/core/locations{tail:.*}` + # the index key will be `/core` since index is based on the + # url parts split by `/` + index_key = index_key.partition("{")[0].rpartition("/")[0] + return index_key.rstrip("/") or "/" + + def index_resource(self, resource: AbstractResource) -> None: + """Add a resource to the resource index.""" + resource_key = self._get_resource_index_key(resource) + # There may be multiple resources for a canonical path + # so we keep them in a list to ensure that registration + # order is respected. + self._resource_index.setdefault(resource_key, []).append(resource) + + def unindex_resource(self, resource: AbstractResource) -> None: + """Remove a resource from the resource index.""" + resource_key = self._get_resource_index_key(resource) + self._resource_index[resource_key].remove(resource) + + def add_resource(self, path: str, *, name: Optional[str] = None) -> Resource: + if path and not path.startswith("/"): + raise ValueError("path should be started with / or be empty") + # Reuse last added resource if path and name are the same + if self._resources: + resource = self._resources[-1] + if resource.name == name and resource.raw_match(path): + return cast(Resource, resource) + if not ("{" in path or "}" in path or ROUTE_RE.search(path)): + resource = PlainResource(path, name=name) + self.register_resource(resource) + return resource + resource = DynamicResource(path, name=name) + self.register_resource(resource) + return resource + + def add_route( + self, + method: str, + path: str, + handler: Union[Handler, Type[AbstractView]], + *, + name: Optional[str] = None, + expect_handler: Optional[_ExpectHandler] = None, + ) -> AbstractRoute: + resource = self.add_resource(path, name=name) + return resource.add_route(method, handler, expect_handler=expect_handler) + + def add_static( + self, + prefix: str, + path: PathLike, + *, + name: Optional[str] = None, + expect_handler: Optional[_ExpectHandler] = None, + chunk_size: int = 256 * 1024, + show_index: bool = False, + follow_symlinks: bool = False, + append_version: bool = False, + ) -> AbstractResource: + """Add static files view. + + prefix - url prefix + path - folder with files + + """ + assert prefix.startswith("/") + if prefix.endswith("/"): + prefix = prefix[:-1] + resource = StaticResource( + prefix, + path, + name=name, + expect_handler=expect_handler, + chunk_size=chunk_size, + show_index=show_index, + follow_symlinks=follow_symlinks, + append_version=append_version, + ) + self.register_resource(resource) + return resource + + def add_head(self, path: str, handler: Handler, **kwargs: Any) -> AbstractRoute: + """Shortcut for add_route with method HEAD.""" + return self.add_route(hdrs.METH_HEAD, path, handler, **kwargs) + + def add_options(self, path: str, handler: Handler, **kwargs: Any) -> AbstractRoute: + """Shortcut for add_route with method OPTIONS.""" + return self.add_route(hdrs.METH_OPTIONS, path, handler, **kwargs) + + def add_get( + self, + path: str, + handler: Handler, + *, + name: Optional[str] = None, + allow_head: bool = True, + **kwargs: Any, + ) -> AbstractRoute: + """Shortcut for add_route with method GET. + + If allow_head is true, another + route is added allowing head requests to the same endpoint. + """ + resource = self.add_resource(path, name=name) + if allow_head: + resource.add_route(hdrs.METH_HEAD, handler, **kwargs) + return resource.add_route(hdrs.METH_GET, handler, **kwargs) + + def add_post(self, path: str, handler: Handler, **kwargs: Any) -> AbstractRoute: + """Shortcut for add_route with method POST.""" + return self.add_route(hdrs.METH_POST, path, handler, **kwargs) + + def add_put(self, path: str, handler: Handler, **kwargs: Any) -> AbstractRoute: + """Shortcut for add_route with method PUT.""" + return self.add_route(hdrs.METH_PUT, path, handler, **kwargs) + + def add_patch(self, path: str, handler: Handler, **kwargs: Any) -> AbstractRoute: + """Shortcut for add_route with method PATCH.""" + return self.add_route(hdrs.METH_PATCH, path, handler, **kwargs) + + def add_delete(self, path: str, handler: Handler, **kwargs: Any) -> AbstractRoute: + """Shortcut for add_route with method DELETE.""" + return self.add_route(hdrs.METH_DELETE, path, handler, **kwargs) + + def add_view( + self, path: str, handler: Type[AbstractView], **kwargs: Any + ) -> AbstractRoute: + """Shortcut for add_route with ANY methods for a class-based view.""" + return self.add_route(hdrs.METH_ANY, path, handler, **kwargs) + + def freeze(self) -> None: + super().freeze() + for resource in self._resources: + resource.freeze() + + def add_routes(self, routes: Iterable[AbstractRouteDef]) -> List[AbstractRoute]: + """Append routes to route table. + + Parameter should be a sequence of RouteDef objects. + + Returns a list of registered AbstractRoute instances. + """ + registered_routes = [] + for route_def in routes: + registered_routes.extend(route_def.register(self)) + return registered_routes + + +def _quote_path(value: str) -> str: + if YARL_VERSION < (1, 6): + value = value.replace("%", "%25") + return URL.build(path=value, encoded=False).raw_path + + +def _unquote_path_safe(value: str) -> str: + if "%" not in value: + return value + return value.replace("%2F", "/").replace("%25", "%") + + +def _requote_path(value: str) -> str: + # Quote non-ascii characters and other characters which must be quoted, + # but preserve existing %-sequences. + result = _quote_path(value) + if "%" in value: + result = result.replace("%25", "%") + return result diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_ws.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_ws.py new file mode 100644 index 0000000000000000000000000000000000000000..575f9a3dc8507d1e6b766333c9daec389313febd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/web_ws.py @@ -0,0 +1,631 @@ +import asyncio +import base64 +import binascii +import hashlib +import json +import sys +from typing import Any, Final, Iterable, Optional, Tuple, Union, cast + +import attr +from multidict import CIMultiDict + +from . import hdrs +from ._websocket.reader import WebSocketDataQueue +from ._websocket.writer import DEFAULT_LIMIT +from .abc import AbstractStreamWriter +from .client_exceptions import WSMessageTypeError +from .helpers import calculate_timeout_when, set_exception, set_result +from .http import ( + WS_CLOSED_MESSAGE, + WS_CLOSING_MESSAGE, + WS_KEY, + WebSocketError, + WebSocketReader, + WebSocketWriter, + WSCloseCode, + WSMessage, + WSMsgType as WSMsgType, + ws_ext_gen, + ws_ext_parse, +) +from .http_websocket import _INTERNAL_RECEIVE_TYPES +from .log import ws_logger +from .streams import EofStream +from .typedefs import JSONDecoder, JSONEncoder +from .web_exceptions import HTTPBadRequest, HTTPException +from .web_request import BaseRequest +from .web_response import StreamResponse + +if sys.version_info >= (3, 11): + import asyncio as async_timeout +else: + import async_timeout + +__all__ = ( + "WebSocketResponse", + "WebSocketReady", + "WSMsgType", +) + +THRESHOLD_CONNLOST_ACCESS: Final[int] = 5 + + +@attr.s(auto_attribs=True, frozen=True, slots=True) +class WebSocketReady: + ok: bool + protocol: Optional[str] + + def __bool__(self) -> bool: + return self.ok + + +class WebSocketResponse(StreamResponse): + + _length_check: bool = False + _ws_protocol: Optional[str] = None + _writer: Optional[WebSocketWriter] = None + _reader: Optional[WebSocketDataQueue] = None + _closed: bool = False + _closing: bool = False + _conn_lost: int = 0 + _close_code: Optional[int] = None + _loop: Optional[asyncio.AbstractEventLoop] = None + _waiting: bool = False + _close_wait: Optional[asyncio.Future[None]] = None + _exception: Optional[BaseException] = None + _heartbeat_when: float = 0.0 + _heartbeat_cb: Optional[asyncio.TimerHandle] = None + _pong_response_cb: Optional[asyncio.TimerHandle] = None + _ping_task: Optional[asyncio.Task[None]] = None + + def __init__( + self, + *, + timeout: float = 10.0, + receive_timeout: Optional[float] = None, + autoclose: bool = True, + autoping: bool = True, + heartbeat: Optional[float] = None, + protocols: Iterable[str] = (), + compress: bool = True, + max_msg_size: int = 4 * 1024 * 1024, + writer_limit: int = DEFAULT_LIMIT, + ) -> None: + super().__init__(status=101) + self._protocols = protocols + self._timeout = timeout + self._receive_timeout = receive_timeout + self._autoclose = autoclose + self._autoping = autoping + self._heartbeat = heartbeat + if heartbeat is not None: + self._pong_heartbeat = heartbeat / 2.0 + self._compress: Union[bool, int] = compress + self._max_msg_size = max_msg_size + self._writer_limit = writer_limit + + def _cancel_heartbeat(self) -> None: + self._cancel_pong_response_cb() + if self._heartbeat_cb is not None: + self._heartbeat_cb.cancel() + self._heartbeat_cb = None + if self._ping_task is not None: + self._ping_task.cancel() + self._ping_task = None + + def _cancel_pong_response_cb(self) -> None: + if self._pong_response_cb is not None: + self._pong_response_cb.cancel() + self._pong_response_cb = None + + def _reset_heartbeat(self) -> None: + if self._heartbeat is None: + return + self._cancel_pong_response_cb() + req = self._req + timeout_ceil_threshold = ( + req._protocol._timeout_ceil_threshold if req is not None else 5 + ) + loop = self._loop + assert loop is not None + now = loop.time() + when = calculate_timeout_when(now, self._heartbeat, timeout_ceil_threshold) + self._heartbeat_when = when + if self._heartbeat_cb is None: + # We do not cancel the previous heartbeat_cb here because + # it generates a significant amount of TimerHandle churn + # which causes asyncio to rebuild the heap frequently. + # Instead _send_heartbeat() will reschedule the next + # heartbeat if it fires too early. + self._heartbeat_cb = loop.call_at(when, self._send_heartbeat) + + def _send_heartbeat(self) -> None: + self._heartbeat_cb = None + loop = self._loop + assert loop is not None and self._writer is not None + now = loop.time() + if now < self._heartbeat_when: + # Heartbeat fired too early, reschedule + self._heartbeat_cb = loop.call_at( + self._heartbeat_when, self._send_heartbeat + ) + return + + req = self._req + timeout_ceil_threshold = ( + req._protocol._timeout_ceil_threshold if req is not None else 5 + ) + when = calculate_timeout_when(now, self._pong_heartbeat, timeout_ceil_threshold) + self._cancel_pong_response_cb() + self._pong_response_cb = loop.call_at(when, self._pong_not_received) + + coro = self._writer.send_frame(b"", WSMsgType.PING) + if sys.version_info >= (3, 12): + # Optimization for Python 3.12, try to send the ping + # immediately to avoid having to schedule + # the task on the event loop. + ping_task = asyncio.Task(coro, loop=loop, eager_start=True) + else: + ping_task = loop.create_task(coro) + + if not ping_task.done(): + self._ping_task = ping_task + ping_task.add_done_callback(self._ping_task_done) + else: + self._ping_task_done(ping_task) + + def _ping_task_done(self, task: "asyncio.Task[None]") -> None: + """Callback for when the ping task completes.""" + if not task.cancelled() and (exc := task.exception()): + self._handle_ping_pong_exception(exc) + self._ping_task = None + + def _pong_not_received(self) -> None: + if self._req is not None and self._req.transport is not None: + self._handle_ping_pong_exception( + asyncio.TimeoutError( + f"No PONG received after {self._pong_heartbeat} seconds" + ) + ) + + def _handle_ping_pong_exception(self, exc: BaseException) -> None: + """Handle exceptions raised during ping/pong processing.""" + if self._closed: + return + self._set_closed() + self._set_code_close_transport(WSCloseCode.ABNORMAL_CLOSURE) + self._exception = exc + if self._waiting and not self._closing and self._reader is not None: + self._reader.feed_data(WSMessage(WSMsgType.ERROR, exc, None), 0) + + def _set_closed(self) -> None: + """Set the connection to closed. + + Cancel any heartbeat timers and set the closed flag. + """ + self._closed = True + self._cancel_heartbeat() + + async def prepare(self, request: BaseRequest) -> AbstractStreamWriter: + # make pre-check to don't hide it by do_handshake() exceptions + if self._payload_writer is not None: + return self._payload_writer + + protocol, writer = self._pre_start(request) + payload_writer = await super().prepare(request) + assert payload_writer is not None + self._post_start(request, protocol, writer) + await payload_writer.drain() + return payload_writer + + def _handshake( + self, request: BaseRequest + ) -> Tuple["CIMultiDict[str]", Optional[str], int, bool]: + headers = request.headers + if "websocket" != headers.get(hdrs.UPGRADE, "").lower().strip(): + raise HTTPBadRequest( + text=( + "No WebSocket UPGRADE hdr: {}\n Can " + '"Upgrade" only to "WebSocket".' + ).format(headers.get(hdrs.UPGRADE)) + ) + + if "upgrade" not in headers.get(hdrs.CONNECTION, "").lower(): + raise HTTPBadRequest( + text="No CONNECTION upgrade hdr: {}".format( + headers.get(hdrs.CONNECTION) + ) + ) + + # find common sub-protocol between client and server + protocol: Optional[str] = None + if hdrs.SEC_WEBSOCKET_PROTOCOL in headers: + req_protocols = [ + str(proto.strip()) + for proto in headers[hdrs.SEC_WEBSOCKET_PROTOCOL].split(",") + ] + + for proto in req_protocols: + if proto in self._protocols: + protocol = proto + break + else: + # No overlap found: Return no protocol as per spec + ws_logger.warning( + "%s: Client protocols %r don’t overlap server-known ones %r", + request.remote, + req_protocols, + self._protocols, + ) + + # check supported version + version = headers.get(hdrs.SEC_WEBSOCKET_VERSION, "") + if version not in ("13", "8", "7"): + raise HTTPBadRequest(text=f"Unsupported version: {version}") + + # check client handshake for validity + key = headers.get(hdrs.SEC_WEBSOCKET_KEY) + try: + if not key or len(base64.b64decode(key)) != 16: + raise HTTPBadRequest(text=f"Handshake error: {key!r}") + except binascii.Error: + raise HTTPBadRequest(text=f"Handshake error: {key!r}") from None + + accept_val = base64.b64encode( + hashlib.sha1(key.encode() + WS_KEY).digest() + ).decode() + response_headers = CIMultiDict( + { + hdrs.UPGRADE: "websocket", + hdrs.CONNECTION: "upgrade", + hdrs.SEC_WEBSOCKET_ACCEPT: accept_val, + } + ) + + notakeover = False + compress = 0 + if self._compress: + extensions = headers.get(hdrs.SEC_WEBSOCKET_EXTENSIONS) + # Server side always get return with no exception. + # If something happened, just drop compress extension + compress, notakeover = ws_ext_parse(extensions, isserver=True) + if compress: + enabledext = ws_ext_gen( + compress=compress, isserver=True, server_notakeover=notakeover + ) + response_headers[hdrs.SEC_WEBSOCKET_EXTENSIONS] = enabledext + + if protocol: + response_headers[hdrs.SEC_WEBSOCKET_PROTOCOL] = protocol + return ( + response_headers, + protocol, + compress, + notakeover, + ) + + def _pre_start(self, request: BaseRequest) -> Tuple[Optional[str], WebSocketWriter]: + self._loop = request._loop + + headers, protocol, compress, notakeover = self._handshake(request) + + self.set_status(101) + self.headers.update(headers) + self.force_close() + self._compress = compress + transport = request._protocol.transport + assert transport is not None + writer = WebSocketWriter( + request._protocol, + transport, + compress=compress, + notakeover=notakeover, + limit=self._writer_limit, + ) + + return protocol, writer + + def _post_start( + self, request: BaseRequest, protocol: Optional[str], writer: WebSocketWriter + ) -> None: + self._ws_protocol = protocol + self._writer = writer + + self._reset_heartbeat() + + loop = self._loop + assert loop is not None + self._reader = WebSocketDataQueue(request._protocol, 2**16, loop=loop) + request.protocol.set_parser( + WebSocketReader( + self._reader, self._max_msg_size, compress=bool(self._compress) + ) + ) + # disable HTTP keepalive for WebSocket + request.protocol.keep_alive(False) + + def can_prepare(self, request: BaseRequest) -> WebSocketReady: + if self._writer is not None: + raise RuntimeError("Already started") + try: + _, protocol, _, _ = self._handshake(request) + except HTTPException: + return WebSocketReady(False, None) + else: + return WebSocketReady(True, protocol) + + @property + def prepared(self) -> bool: + return self._writer is not None + + @property + def closed(self) -> bool: + return self._closed + + @property + def close_code(self) -> Optional[int]: + return self._close_code + + @property + def ws_protocol(self) -> Optional[str]: + return self._ws_protocol + + @property + def compress(self) -> Union[int, bool]: + return self._compress + + def get_extra_info(self, name: str, default: Any = None) -> Any: + """Get optional transport information. + + If no value associated with ``name`` is found, ``default`` is returned. + """ + writer = self._writer + if writer is None: + return default + transport = writer.transport + if transport is None: + return default + return transport.get_extra_info(name, default) + + def exception(self) -> Optional[BaseException]: + return self._exception + + async def ping(self, message: bytes = b"") -> None: + if self._writer is None: + raise RuntimeError("Call .prepare() first") + await self._writer.send_frame(message, WSMsgType.PING) + + async def pong(self, message: bytes = b"") -> None: + # unsolicited pong + if self._writer is None: + raise RuntimeError("Call .prepare() first") + await self._writer.send_frame(message, WSMsgType.PONG) + + async def send_frame( + self, message: bytes, opcode: WSMsgType, compress: Optional[int] = None + ) -> None: + """Send a frame over the websocket.""" + if self._writer is None: + raise RuntimeError("Call .prepare() first") + await self._writer.send_frame(message, opcode, compress) + + async def send_str(self, data: str, compress: Optional[int] = None) -> None: + if self._writer is None: + raise RuntimeError("Call .prepare() first") + if not isinstance(data, str): + raise TypeError("data argument must be str (%r)" % type(data)) + await self._writer.send_frame( + data.encode("utf-8"), WSMsgType.TEXT, compress=compress + ) + + async def send_bytes(self, data: bytes, compress: Optional[int] = None) -> None: + if self._writer is None: + raise RuntimeError("Call .prepare() first") + if not isinstance(data, (bytes, bytearray, memoryview)): + raise TypeError("data argument must be byte-ish (%r)" % type(data)) + await self._writer.send_frame(data, WSMsgType.BINARY, compress=compress) + + async def send_json( + self, + data: Any, + compress: Optional[int] = None, + *, + dumps: JSONEncoder = json.dumps, + ) -> None: + await self.send_str(dumps(data), compress=compress) + + async def write_eof(self) -> None: # type: ignore[override] + if self._eof_sent: + return + if self._payload_writer is None: + raise RuntimeError("Response has not been started") + + await self.close() + self._eof_sent = True + + async def close( + self, *, code: int = WSCloseCode.OK, message: bytes = b"", drain: bool = True + ) -> bool: + """Close websocket connection.""" + if self._writer is None: + raise RuntimeError("Call .prepare() first") + + if self._closed: + return False + self._set_closed() + + try: + await self._writer.close(code, message) + writer = self._payload_writer + assert writer is not None + if drain: + await writer.drain() + except (asyncio.CancelledError, asyncio.TimeoutError): + self._set_code_close_transport(WSCloseCode.ABNORMAL_CLOSURE) + raise + except Exception as exc: + self._exception = exc + self._set_code_close_transport(WSCloseCode.ABNORMAL_CLOSURE) + return True + + reader = self._reader + assert reader is not None + # we need to break `receive()` cycle before we can call + # `reader.read()` as `close()` may be called from different task + if self._waiting: + assert self._loop is not None + assert self._close_wait is None + self._close_wait = self._loop.create_future() + reader.feed_data(WS_CLOSING_MESSAGE, 0) + await self._close_wait + + if self._closing: + self._close_transport() + return True + + try: + async with async_timeout.timeout(self._timeout): + while True: + msg = await reader.read() + if msg.type is WSMsgType.CLOSE: + self._set_code_close_transport(msg.data) + return True + except asyncio.CancelledError: + self._set_code_close_transport(WSCloseCode.ABNORMAL_CLOSURE) + raise + except Exception as exc: + self._exception = exc + self._set_code_close_transport(WSCloseCode.ABNORMAL_CLOSURE) + return True + + def _set_closing(self, code: WSCloseCode) -> None: + """Set the close code and mark the connection as closing.""" + self._closing = True + self._close_code = code + self._cancel_heartbeat() + + def _set_code_close_transport(self, code: WSCloseCode) -> None: + """Set the close code and close the transport.""" + self._close_code = code + self._close_transport() + + def _close_transport(self) -> None: + """Close the transport.""" + if self._req is not None and self._req.transport is not None: + self._req.transport.close() + + async def receive(self, timeout: Optional[float] = None) -> WSMessage: + if self._reader is None: + raise RuntimeError("Call .prepare() first") + + receive_timeout = timeout or self._receive_timeout + while True: + if self._waiting: + raise RuntimeError("Concurrent call to receive() is not allowed") + + if self._closed: + self._conn_lost += 1 + if self._conn_lost >= THRESHOLD_CONNLOST_ACCESS: + raise RuntimeError("WebSocket connection is closed.") + return WS_CLOSED_MESSAGE + elif self._closing: + return WS_CLOSING_MESSAGE + + try: + self._waiting = True + try: + if receive_timeout: + # Entering the context manager and creating + # Timeout() object can take almost 50% of the + # run time in this loop so we avoid it if + # there is no read timeout. + async with async_timeout.timeout(receive_timeout): + msg = await self._reader.read() + else: + msg = await self._reader.read() + self._reset_heartbeat() + finally: + self._waiting = False + if self._close_wait: + set_result(self._close_wait, None) + except asyncio.TimeoutError: + raise + except EofStream: + self._close_code = WSCloseCode.OK + await self.close() + return WSMessage(WSMsgType.CLOSED, None, None) + except WebSocketError as exc: + self._close_code = exc.code + await self.close(code=exc.code) + return WSMessage(WSMsgType.ERROR, exc, None) + except Exception as exc: + self._exception = exc + self._set_closing(WSCloseCode.ABNORMAL_CLOSURE) + await self.close() + return WSMessage(WSMsgType.ERROR, exc, None) + + if msg.type not in _INTERNAL_RECEIVE_TYPES: + # If its not a close/closing/ping/pong message + # we can return it immediately + return msg + + if msg.type is WSMsgType.CLOSE: + self._set_closing(msg.data) + # Could be closed while awaiting reader. + if not self._closed and self._autoclose: + # The client is likely going to close the + # connection out from under us so we do not + # want to drain any pending writes as it will + # likely result writing to a broken pipe. + await self.close(drain=False) + elif msg.type is WSMsgType.CLOSING: + self._set_closing(WSCloseCode.OK) + elif msg.type is WSMsgType.PING and self._autoping: + await self.pong(msg.data) + continue + elif msg.type is WSMsgType.PONG and self._autoping: + continue + + return msg + + async def receive_str(self, *, timeout: Optional[float] = None) -> str: + msg = await self.receive(timeout) + if msg.type is not WSMsgType.TEXT: + raise WSMessageTypeError( + f"Received message {msg.type}:{msg.data!r} is not WSMsgType.TEXT" + ) + return cast(str, msg.data) + + async def receive_bytes(self, *, timeout: Optional[float] = None) -> bytes: + msg = await self.receive(timeout) + if msg.type is not WSMsgType.BINARY: + raise WSMessageTypeError( + f"Received message {msg.type}:{msg.data!r} is not WSMsgType.BINARY" + ) + return cast(bytes, msg.data) + + async def receive_json( + self, *, loads: JSONDecoder = json.loads, timeout: Optional[float] = None + ) -> Any: + data = await self.receive_str(timeout=timeout) + return loads(data) + + async def write(self, data: bytes) -> None: + raise RuntimeError("Cannot call .write() for websocket") + + def __aiter__(self) -> "WebSocketResponse": + return self + + async def __anext__(self) -> WSMessage: + msg = await self.receive() + if msg.type in (WSMsgType.CLOSE, WSMsgType.CLOSING, WSMsgType.CLOSED): + raise StopAsyncIteration + return msg + + def _cancel(self, exc: BaseException) -> None: + # web_protocol calls this from connection_lost + # or when the server is shutting down. + self._closing = True + self._cancel_heartbeat() + if self._reader is not None: + set_exception(self._reader, exc) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/worker.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/worker.py new file mode 100644 index 0000000000000000000000000000000000000000..f7281bfde7541412c3174aa5fdcb859fa1b7a996 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiohttp/worker.py @@ -0,0 +1,255 @@ +"""Async gunicorn worker for aiohttp.web""" + +import asyncio +import inspect +import os +import re +import signal +import sys +from types import FrameType +from typing import TYPE_CHECKING, Any, Optional + +from gunicorn.config import AccessLogFormat as GunicornAccessLogFormat +from gunicorn.workers import base + +from aiohttp import web + +from .helpers import set_result +from .web_app import Application +from .web_log import AccessLogger + +if TYPE_CHECKING: + import ssl + + SSLContext = ssl.SSLContext +else: + try: + import ssl + + SSLContext = ssl.SSLContext + except ImportError: # pragma: no cover + ssl = None # type: ignore[assignment] + SSLContext = object # type: ignore[misc,assignment] + + +__all__ = ("GunicornWebWorker", "GunicornUVLoopWebWorker") + + +class GunicornWebWorker(base.Worker): # type: ignore[misc,no-any-unimported] + + DEFAULT_AIOHTTP_LOG_FORMAT = AccessLogger.LOG_FORMAT + DEFAULT_GUNICORN_LOG_FORMAT = GunicornAccessLogFormat.default + + def __init__(self, *args: Any, **kw: Any) -> None: # pragma: no cover + super().__init__(*args, **kw) + + self._task: Optional[asyncio.Task[None]] = None + self.exit_code = 0 + self._notify_waiter: Optional[asyncio.Future[bool]] = None + + def init_process(self) -> None: + # create new event_loop after fork + asyncio.get_event_loop().close() + + self.loop = asyncio.new_event_loop() + asyncio.set_event_loop(self.loop) + + super().init_process() + + def run(self) -> None: + self._task = self.loop.create_task(self._run()) + + try: # ignore all finalization problems + self.loop.run_until_complete(self._task) + except Exception: + self.log.exception("Exception in gunicorn worker") + self.loop.run_until_complete(self.loop.shutdown_asyncgens()) + self.loop.close() + + sys.exit(self.exit_code) + + async def _run(self) -> None: + runner = None + if isinstance(self.wsgi, Application): + app = self.wsgi + elif inspect.iscoroutinefunction(self.wsgi) or ( + sys.version_info < (3, 14) and asyncio.iscoroutinefunction(self.wsgi) + ): + wsgi = await self.wsgi() + if isinstance(wsgi, web.AppRunner): + runner = wsgi + app = runner.app + else: + app = wsgi + else: + raise RuntimeError( + "wsgi app should be either Application or " + "async function returning Application, got {}".format(self.wsgi) + ) + + if runner is None: + access_log = self.log.access_log if self.cfg.accesslog else None + runner = web.AppRunner( + app, + logger=self.log, + keepalive_timeout=self.cfg.keepalive, + access_log=access_log, + access_log_format=self._get_valid_log_format( + self.cfg.access_log_format + ), + shutdown_timeout=self.cfg.graceful_timeout / 100 * 95, + ) + await runner.setup() + + ctx = self._create_ssl_context(self.cfg) if self.cfg.is_ssl else None + + runner = runner + assert runner is not None + server = runner.server + assert server is not None + for sock in self.sockets: + site = web.SockSite( + runner, + sock, + ssl_context=ctx, + ) + await site.start() + + # If our parent changed then we shut down. + pid = os.getpid() + try: + while self.alive: # type: ignore[has-type] + self.notify() + + cnt = server.requests_count + if self.max_requests and cnt > self.max_requests: + self.alive = False + self.log.info("Max requests, shutting down: %s", self) + + elif pid == os.getpid() and self.ppid != os.getppid(): + self.alive = False + self.log.info("Parent changed, shutting down: %s", self) + else: + await self._wait_next_notify() + except BaseException: + pass + + await runner.cleanup() + + def _wait_next_notify(self) -> "asyncio.Future[bool]": + self._notify_waiter_done() + + loop = self.loop + assert loop is not None + self._notify_waiter = waiter = loop.create_future() + self.loop.call_later(1.0, self._notify_waiter_done, waiter) + + return waiter + + def _notify_waiter_done( + self, waiter: Optional["asyncio.Future[bool]"] = None + ) -> None: + if waiter is None: + waiter = self._notify_waiter + if waiter is not None: + set_result(waiter, True) + + if waiter is self._notify_waiter: + self._notify_waiter = None + + def init_signals(self) -> None: + # Set up signals through the event loop API. + + self.loop.add_signal_handler( + signal.SIGQUIT, self.handle_quit, signal.SIGQUIT, None + ) + + self.loop.add_signal_handler( + signal.SIGTERM, self.handle_exit, signal.SIGTERM, None + ) + + self.loop.add_signal_handler( + signal.SIGINT, self.handle_quit, signal.SIGINT, None + ) + + self.loop.add_signal_handler( + signal.SIGWINCH, self.handle_winch, signal.SIGWINCH, None + ) + + self.loop.add_signal_handler( + signal.SIGUSR1, self.handle_usr1, signal.SIGUSR1, None + ) + + self.loop.add_signal_handler( + signal.SIGABRT, self.handle_abort, signal.SIGABRT, None + ) + + # Don't let SIGTERM and SIGUSR1 disturb active requests + # by interrupting system calls + signal.siginterrupt(signal.SIGTERM, False) + signal.siginterrupt(signal.SIGUSR1, False) + # Reset signals so Gunicorn doesn't swallow subprocess return codes + # See: https://github.com/aio-libs/aiohttp/issues/6130 + + def handle_quit(self, sig: int, frame: Optional[FrameType]) -> None: + self.alive = False + + # worker_int callback + self.cfg.worker_int(self) + + # wakeup closing process + self._notify_waiter_done() + + def handle_abort(self, sig: int, frame: Optional[FrameType]) -> None: + self.alive = False + self.exit_code = 1 + self.cfg.worker_abort(self) + sys.exit(1) + + @staticmethod + def _create_ssl_context(cfg: Any) -> "SSLContext": + """Creates SSLContext instance for usage in asyncio.create_server. + + See ssl.SSLSocket.__init__ for more details. + """ + if ssl is None: # pragma: no cover + raise RuntimeError("SSL is not supported.") + + ctx = ssl.SSLContext(cfg.ssl_version) + ctx.load_cert_chain(cfg.certfile, cfg.keyfile) + ctx.verify_mode = cfg.cert_reqs + if cfg.ca_certs: + ctx.load_verify_locations(cfg.ca_certs) + if cfg.ciphers: + ctx.set_ciphers(cfg.ciphers) + return ctx + + def _get_valid_log_format(self, source_format: str) -> str: + if source_format == self.DEFAULT_GUNICORN_LOG_FORMAT: + return self.DEFAULT_AIOHTTP_LOG_FORMAT + elif re.search(r"%\([^\)]+\)", source_format): + raise ValueError( + "Gunicorn's style options in form of `%(name)s` are not " + "supported for the log formatting. Please use aiohttp's " + "format specification to configure access log formatting: " + "http://docs.aiohttp.org/en/stable/logging.html" + "#format-specification" + ) + else: + return source_format + + +class GunicornUVLoopWebWorker(GunicornWebWorker): + def init_process(self) -> None: + import uvloop + + # Close any existing event loop before setting a + # new policy. + asyncio.get_event_loop().close() + + # Setup uvloop policy, so that every + # asyncio.get_event_loop() will create an instance + # of uvloop event loop. + asyncio.set_event_loop_policy(uvloop.EventLoopPolicy()) + + super().init_process() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..03a6f0f7ff91628f60c4a95c4f3acbfa8d654ea8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/METADATA @@ -0,0 +1,112 @@ +Metadata-Version: 2.4 +Name: aiosignal +Version: 1.4.0 +Summary: aiosignal: a list of registered asynchronous callbacks +Home-page: https://github.com/aio-libs/aiosignal +Maintainer: aiohttp team +Maintainer-email: team@aiohttp.org +License: Apache 2.0 +Project-URL: Chat: Gitter, https://gitter.im/aio-libs/Lobby +Project-URL: CI: GitHub Actions, https://github.com/aio-libs/aiosignal/actions +Project-URL: Coverage: codecov, https://codecov.io/github/aio-libs/aiosignal +Project-URL: Docs: RTD, https://docs.aiosignal.org +Project-URL: GitHub: issues, https://github.com/aio-libs/aiosignal/issues +Project-URL: GitHub: repo, https://github.com/aio-libs/aiosignal +Classifier: License :: OSI Approved :: Apache Software License +Classifier: Intended Audience :: Developers +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3 :: Only +Classifier: Development Status :: 5 - Production/Stable +Classifier: Operating System :: POSIX +Classifier: Operating System :: MacOS :: MacOS X +Classifier: Operating System :: Microsoft :: Windows +Classifier: Framework :: AsyncIO +Requires-Python: >=3.9 +Description-Content-Type: text/x-rst +License-File: LICENSE +Requires-Dist: frozenlist>=1.1.0 +Requires-Dist: typing-extensions>=4.2; python_version < "3.13" +Dynamic: license-file + +========= +aiosignal +========= + +.. image:: https://github.com/aio-libs/aiosignal/workflows/CI/badge.svg + :target: https://github.com/aio-libs/aiosignal/actions?query=workflow%3ACI + :alt: GitHub status for master branch + +.. image:: https://codecov.io/gh/aio-libs/aiosignal/branch/master/graph/badge.svg?flag=pytest + :target: https://codecov.io/gh/aio-libs/aiosignal?flags[0]=pytest + :alt: codecov.io status for master branch + +.. image:: https://badge.fury.io/py/aiosignal.svg + :target: https://pypi.org/project/aiosignal + :alt: Latest PyPI package version + +.. image:: https://readthedocs.org/projects/aiosignal/badge/?version=latest + :target: https://aiosignal.readthedocs.io/ + :alt: Latest Read The Docs + +.. image:: https://img.shields.io/discourse/topics?server=https%3A%2F%2Faio-libs.discourse.group%2F + :target: https://aio-libs.discourse.group/ + :alt: Discourse group for io-libs + +.. image:: https://badges.gitter.im/Join%20Chat.svg + :target: https://gitter.im/aio-libs/Lobby + :alt: Chat on Gitter + +Introduction +============ + +A project to manage callbacks in `asyncio` projects. + +``Signal`` is a list of registered asynchronous callbacks. + +The signal's life-cycle has two stages: after creation its content +could be filled by using standard list operations: ``sig.append()`` +etc. + +After you call ``sig.freeze()`` the signal is *frozen*: adding, removing +and dropping callbacks is forbidden. + +The only available operation is calling the previously registered +callbacks by using ``await sig.send(data)``. + +For concrete usage examples see the `Signals + +section of the `Web Server Advanced +` chapter of the `aiohttp +documentation`_. + + +Installation +------------ + +:: + + $ pip install aiosignal + + +Documentation +============= + +https://aiosignal.readthedocs.io/ + +License +======= + +``aiosignal`` is offered under the Apache 2 license. + +Source code +=========== + +The project is hosted on GitHub_ + +Please file an issue in the `bug tracker +`_ if you have found a bug +or have some suggestions to improve the library. + +.. _GitHub: https://github.com/aio-libs/aiosignal +.. _aiohttp documentation: https://docs.aiohttp.org/ diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..38dcf1a0aa9ee625d310ac2e5222ba54956d87e9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/RECORD @@ -0,0 +1,9 @@ +aiosignal-1.4.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +aiosignal-1.4.0.dist-info/METADATA,sha256=CSR-8dqLxpZyjUcTDnAuQwf299EB1sSFv_nzpxznAI0,3662 +aiosignal-1.4.0.dist-info/RECORD,, +aiosignal-1.4.0.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91 +aiosignal-1.4.0.dist-info/licenses/LICENSE,sha256=b9UkPpLdf5jsacesN3co50kFcJ_1J6W_mNbQJjwE9bY,11332 +aiosignal-1.4.0.dist-info/top_level.txt,sha256=z45aNOKGDdrI1roqZY3BGXQ22kJFPHBmVdwtLYLtXC0,10 +aiosignal/__init__.py,sha256=TIkmUG9HTBt4dfq2nISYBiZiRB2xwvFtEZydLP0HPL4,1537 +aiosignal/__pycache__/__init__.cpython-310.pyc,, +aiosignal/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/WHEEL b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..e7fa31b6f3f78deb1022c1f7927f07d4d16da822 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/WHEEL @@ -0,0 +1,5 @@ +Wheel-Version: 1.0 +Generator: setuptools (80.9.0) +Root-Is-Purelib: true +Tag: py3-none-any + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/licenses/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..7082a2d5b9047bfc09589f387053e24ea490bc54 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/licenses/LICENSE @@ -0,0 +1,201 @@ +Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2013-2019 Nikolay Kim and Andrew Svetlov + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/top_level.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac6df3afe74a5fd43afc7ab7f8393571a495fdc5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal-1.4.0.dist-info/top_level.txt @@ -0,0 +1 @@ +aiosignal diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5ede0090ad93cacd642b11645c1c71bcd3021e2b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal/__init__.py @@ -0,0 +1,59 @@ +import sys +from typing import Any, Awaitable, Callable, TypeVar + +from frozenlist import FrozenList + +if sys.version_info >= (3, 11): + from typing import Unpack +else: + from typing_extensions import Unpack + +if sys.version_info >= (3, 13): + from typing import TypeVarTuple +else: + from typing_extensions import TypeVarTuple + +_T = TypeVar("_T") +_Ts = TypeVarTuple("_Ts", default=Unpack[tuple[()]]) + +__version__ = "1.4.0" + +__all__ = ("Signal",) + + +class Signal(FrozenList[Callable[[Unpack[_Ts]], Awaitable[object]]]): + """Coroutine-based signal implementation. + + To connect a callback to a signal, use any list method. + + Signals are fired using the send() coroutine, which takes named + arguments. + """ + + __slots__ = ("_owner",) + + def __init__(self, owner: object): + super().__init__() + self._owner = owner + + def __repr__(self) -> str: + return "".format( + self._owner, self.frozen, list(self) + ) + + async def send(self, *args: Unpack[_Ts], **kwargs: Any) -> None: + """ + Sends data to all registered receivers. + """ + if not self.frozen: + raise RuntimeError("Cannot send non-frozen signal.") + + for receiver in self: + await receiver(*args, **kwargs) + + def __call__( + self, func: Callable[[Unpack[_Ts]], Awaitable[_T]] + ) -> Callable[[Unpack[_Ts]], Awaitable[_T]]: + """Decorator to add a function to this Signal.""" + self.append(func) + return func diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/aiosignal/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..3ac05cfd1077ba5664e98ecd1342f7c54360b936 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/METADATA @@ -0,0 +1,295 @@ +Metadata-Version: 2.3 +Name: annotated-types +Version: 0.7.0 +Summary: Reusable constraint types to use with typing.Annotated +Project-URL: Homepage, https://github.com/annotated-types/annotated-types +Project-URL: Source, https://github.com/annotated-types/annotated-types +Project-URL: Changelog, https://github.com/annotated-types/annotated-types/releases +Author-email: Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, Samuel Colvin , Zac Hatfield-Dodds +License-File: LICENSE +Classifier: Development Status :: 4 - Beta +Classifier: Environment :: Console +Classifier: Environment :: MacOS X +Classifier: Intended Audience :: Developers +Classifier: Intended Audience :: Information Technology +Classifier: License :: OSI Approved :: MIT License +Classifier: Operating System :: POSIX :: Linux +Classifier: Operating System :: Unix +Classifier: Programming Language :: Python :: 3 :: Only +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Topic :: Software Development :: Libraries :: Python Modules +Classifier: Typing :: Typed +Requires-Python: >=3.8 +Requires-Dist: typing-extensions>=4.0.0; python_version < '3.9' +Description-Content-Type: text/markdown + +# annotated-types + +[![CI](https://github.com/annotated-types/annotated-types/workflows/CI/badge.svg?event=push)](https://github.com/annotated-types/annotated-types/actions?query=event%3Apush+branch%3Amain+workflow%3ACI) +[![pypi](https://img.shields.io/pypi/v/annotated-types.svg)](https://pypi.python.org/pypi/annotated-types) +[![versions](https://img.shields.io/pypi/pyversions/annotated-types.svg)](https://github.com/annotated-types/annotated-types) +[![license](https://img.shields.io/github/license/annotated-types/annotated-types.svg)](https://github.com/annotated-types/annotated-types/blob/main/LICENSE) + +[PEP-593](https://peps.python.org/pep-0593/) added `typing.Annotated` as a way of +adding context-specific metadata to existing types, and specifies that +`Annotated[T, x]` _should_ be treated as `T` by any tool or library without special +logic for `x`. + +This package provides metadata objects which can be used to represent common +constraints such as upper and lower bounds on scalar values and collection sizes, +a `Predicate` marker for runtime checks, and +descriptions of how we intend these metadata to be interpreted. In some cases, +we also note alternative representations which do not require this package. + +## Install + +```bash +pip install annotated-types +``` + +## Examples + +```python +from typing import Annotated +from annotated_types import Gt, Len, Predicate + +class MyClass: + age: Annotated[int, Gt(18)] # Valid: 19, 20, ... + # Invalid: 17, 18, "19", 19.0, ... + factors: list[Annotated[int, Predicate(is_prime)]] # Valid: 2, 3, 5, 7, 11, ... + # Invalid: 4, 8, -2, 5.0, "prime", ... + + my_list: Annotated[list[int], Len(0, 10)] # Valid: [], [10, 20, 30, 40, 50] + # Invalid: (1, 2), ["abc"], [0] * 20 +``` + +## Documentation + +_While `annotated-types` avoids runtime checks for performance, users should not +construct invalid combinations such as `MultipleOf("non-numeric")` or `Annotated[int, Len(3)]`. +Downstream implementors may choose to raise an error, emit a warning, silently ignore +a metadata item, etc., if the metadata objects described below are used with an +incompatible type - or for any other reason!_ + +### Gt, Ge, Lt, Le + +Express inclusive and/or exclusive bounds on orderable values - which may be numbers, +dates, times, strings, sets, etc. Note that the boundary value need not be of the +same type that was annotated, so long as they can be compared: `Annotated[int, Gt(1.5)]` +is fine, for example, and implies that the value is an integer x such that `x > 1.5`. + +We suggest that implementors may also interpret `functools.partial(operator.le, 1.5)` +as being equivalent to `Gt(1.5)`, for users who wish to avoid a runtime dependency on +the `annotated-types` package. + +To be explicit, these types have the following meanings: + +* `Gt(x)` - value must be "Greater Than" `x` - equivalent to exclusive minimum +* `Ge(x)` - value must be "Greater than or Equal" to `x` - equivalent to inclusive minimum +* `Lt(x)` - value must be "Less Than" `x` - equivalent to exclusive maximum +* `Le(x)` - value must be "Less than or Equal" to `x` - equivalent to inclusive maximum + +### Interval + +`Interval(gt, ge, lt, le)` allows you to specify an upper and lower bound with a single +metadata object. `None` attributes should be ignored, and non-`None` attributes +treated as per the single bounds above. + +### MultipleOf + +`MultipleOf(multiple_of=x)` might be interpreted in two ways: + +1. Python semantics, implying `value % multiple_of == 0`, or +2. [JSONschema semantics](https://json-schema.org/draft/2020-12/json-schema-validation.html#rfc.section.6.2.1), + where `int(value / multiple_of) == value / multiple_of`. + +We encourage users to be aware of these two common interpretations and their +distinct behaviours, especially since very large or non-integer numbers make +it easy to cause silent data corruption due to floating-point imprecision. + +We encourage libraries to carefully document which interpretation they implement. + +### MinLen, MaxLen, Len + +`Len()` implies that `min_length <= len(value) <= max_length` - lower and upper bounds are inclusive. + +As well as `Len()` which can optionally include upper and lower bounds, we also +provide `MinLen(x)` and `MaxLen(y)` which are equivalent to `Len(min_length=x)` +and `Len(max_length=y)` respectively. + +`Len`, `MinLen`, and `MaxLen` may be used with any type which supports `len(value)`. + +Examples of usage: + +* `Annotated[list, MaxLen(10)]` (or `Annotated[list, Len(max_length=10))`) - list must have a length of 10 or less +* `Annotated[str, MaxLen(10)]` - string must have a length of 10 or less +* `Annotated[list, MinLen(3))` (or `Annotated[list, Len(min_length=3))`) - list must have a length of 3 or more +* `Annotated[list, Len(4, 6)]` - list must have a length of 4, 5, or 6 +* `Annotated[list, Len(8, 8)]` - list must have a length of exactly 8 + +#### Changed in v0.4.0 + +* `min_inclusive` has been renamed to `min_length`, no change in meaning +* `max_exclusive` has been renamed to `max_length`, upper bound is now **inclusive** instead of **exclusive** +* The recommendation that slices are interpreted as `Len` has been removed due to ambiguity and different semantic + meaning of the upper bound in slices vs. `Len` + +See [issue #23](https://github.com/annotated-types/annotated-types/issues/23) for discussion. + +### Timezone + +`Timezone` can be used with a `datetime` or a `time` to express which timezones +are allowed. `Annotated[datetime, Timezone(None)]` must be a naive datetime. +`Timezone[...]` ([literal ellipsis](https://docs.python.org/3/library/constants.html#Ellipsis)) +expresses that any timezone-aware datetime is allowed. You may also pass a specific +timezone string or [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects) +object such as `Timezone(timezone.utc)` or `Timezone("Africa/Abidjan")` to express that you only +allow a specific timezone, though we note that this is often a symptom of fragile design. + +#### Changed in v0.x.x + +* `Timezone` accepts [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects) objects instead of + `timezone`, extending compatibility to [`zoneinfo`](https://docs.python.org/3/library/zoneinfo.html) and third party libraries. + +### Unit + +`Unit(unit: str)` expresses that the annotated numeric value is the magnitude of +a quantity with the specified unit. For example, `Annotated[float, Unit("m/s")]` +would be a float representing a velocity in meters per second. + +Please note that `annotated_types` itself makes no attempt to parse or validate +the unit string in any way. That is left entirely to downstream libraries, +such as [`pint`](https://pint.readthedocs.io) or +[`astropy.units`](https://docs.astropy.org/en/stable/units/). + +An example of how a library might use this metadata: + +```python +from annotated_types import Unit +from typing import Annotated, TypeVar, Callable, Any, get_origin, get_args + +# given a type annotated with a unit: +Meters = Annotated[float, Unit("m")] + + +# you can cast the annotation to a specific unit type with any +# callable that accepts a string and returns the desired type +T = TypeVar("T") +def cast_unit(tp: Any, unit_cls: Callable[[str], T]) -> T | None: + if get_origin(tp) is Annotated: + for arg in get_args(tp): + if isinstance(arg, Unit): + return unit_cls(arg.unit) + return None + + +# using `pint` +import pint +pint_unit = cast_unit(Meters, pint.Unit) + + +# using `astropy.units` +import astropy.units as u +astropy_unit = cast_unit(Meters, u.Unit) +``` + +### Predicate + +`Predicate(func: Callable)` expresses that `func(value)` is truthy for valid values. +Users should prefer the statically inspectable metadata above, but if you need +the full power and flexibility of arbitrary runtime predicates... here it is. + +For some common constraints, we provide generic types: + +* `IsLower = Annotated[T, Predicate(str.islower)]` +* `IsUpper = Annotated[T, Predicate(str.isupper)]` +* `IsDigit = Annotated[T, Predicate(str.isdigit)]` +* `IsFinite = Annotated[T, Predicate(math.isfinite)]` +* `IsNotFinite = Annotated[T, Predicate(Not(math.isfinite))]` +* `IsNan = Annotated[T, Predicate(math.isnan)]` +* `IsNotNan = Annotated[T, Predicate(Not(math.isnan))]` +* `IsInfinite = Annotated[T, Predicate(math.isinf)]` +* `IsNotInfinite = Annotated[T, Predicate(Not(math.isinf))]` + +so that you can write e.g. `x: IsFinite[float] = 2.0` instead of the longer +(but exactly equivalent) `x: Annotated[float, Predicate(math.isfinite)] = 2.0`. + +Some libraries might have special logic to handle known or understandable predicates, +for example by checking for `str.isdigit` and using its presence to both call custom +logic to enforce digit-only strings, and customise some generated external schema. +Users are therefore encouraged to avoid indirection like `lambda s: s.lower()`, in +favor of introspectable methods such as `str.lower` or `re.compile("pattern").search`. + +To enable basic negation of commonly used predicates like `math.isnan` without introducing introspection that makes it impossible for implementers to introspect the predicate we provide a `Not` wrapper that simply negates the predicate in an introspectable manner. Several of the predicates listed above are created in this manner. + +We do not specify what behaviour should be expected for predicates that raise +an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently +skip invalid constraints, or statically raise an error; or it might try calling it +and then propagate or discard the resulting +`TypeError: descriptor 'isdigit' for 'str' objects doesn't apply to a 'int' object` +exception. We encourage libraries to document the behaviour they choose. + +### Doc + +`doc()` can be used to add documentation information in `Annotated`, for function and method parameters, variables, class attributes, return types, and any place where `Annotated` can be used. + +It expects a value that can be statically analyzed, as the main use case is for static analysis, editors, documentation generators, and similar tools. + +It returns a `DocInfo` class with a single attribute `documentation` containing the value passed to `doc()`. + +This is the early adopter's alternative form of the [`typing-doc` proposal](https://github.com/tiangolo/fastapi/blob/typing-doc/typing_doc.md). + +### Integrating downstream types with `GroupedMetadata` + +Implementers may choose to provide a convenience wrapper that groups multiple pieces of metadata. +This can help reduce verbosity and cognitive overhead for users. +For example, an implementer like Pydantic might provide a `Field` or `Meta` type that accepts keyword arguments and transforms these into low-level metadata: + +```python +from dataclasses import dataclass +from typing import Iterator +from annotated_types import GroupedMetadata, Ge + +@dataclass +class Field(GroupedMetadata): + ge: int | None = None + description: str | None = None + + def __iter__(self) -> Iterator[object]: + # Iterating over a GroupedMetadata object should yield annotated-types + # constraint metadata objects which describe it as fully as possible, + # and may include other unknown objects too. + if self.ge is not None: + yield Ge(self.ge) + if self.description is not None: + yield Description(self.description) +``` + +Libraries consuming annotated-types constraints should check for `GroupedMetadata` and unpack it by iterating over the object and treating the results as if they had been "unpacked" in the `Annotated` type. The same logic should be applied to the [PEP 646 `Unpack` type](https://peps.python.org/pep-0646/), so that `Annotated[T, Field(...)]`, `Annotated[T, Unpack[Field(...)]]` and `Annotated[T, *Field(...)]` are all treated consistently. + +Libraries consuming annotated-types should also ignore any metadata they do not recongize that came from unpacking a `GroupedMetadata`, just like they ignore unrecognized metadata in `Annotated` itself. + +Our own `annotated_types.Interval` class is a `GroupedMetadata` which unpacks itself into `Gt`, `Lt`, etc., so this is not an abstract concern. Similarly, `annotated_types.Len` is a `GroupedMetadata` which unpacks itself into `MinLen` (optionally) and `MaxLen`. + +### Consuming metadata + +We intend to not be prescriptive as to _how_ the metadata and constraints are used, but as an example of how one might parse constraints from types annotations see our [implementation in `test_main.py`](https://github.com/annotated-types/annotated-types/blob/f59cf6d1b5255a0fe359b93896759a180bec30ae/tests/test_main.py#L94-L103). + +It is up to the implementer to determine how this metadata is used. +You could use the metadata for runtime type checking, for generating schemas or to generate example data, amongst other use cases. + +## Design & History + +This package was designed at the PyCon 2022 sprints by the maintainers of Pydantic +and Hypothesis, with the goal of making it as easy as possible for end-users to +provide more informative annotations for use by runtime libraries. + +It is deliberately minimal, and following PEP-593 allows considerable downstream +discretion in what (if anything!) they choose to support. Nonetheless, we expect +that staying simple and covering _only_ the most common use-cases will give users +and maintainers the best experience we can. If you'd like more constraints for your +types - follow our lead, by defining them and documenting them downstream! diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..7c37220e01bbc498033ab3a214d91603ccde5037 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/RECORD @@ -0,0 +1,10 @@ +annotated_types-0.7.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +annotated_types-0.7.0.dist-info/METADATA,sha256=7ltqxksJJ0wCYFGBNIQCWTlWQGeAH0hRFdnK3CB895E,15046 +annotated_types-0.7.0.dist-info/RECORD,, +annotated_types-0.7.0.dist-info/WHEEL,sha256=zEMcRr9Kr03x1ozGwg5v9NQBKn3kndp6LSoSlVg-jhU,87 +annotated_types-0.7.0.dist-info/licenses/LICENSE,sha256=_hBJiEsaDZNCkB6I4H8ykl0ksxIdmXK2poBfuYJLCV0,1083 +annotated_types/__init__.py,sha256=RynLsRKUEGI0KimXydlD1fZEfEzWwDo0Uon3zOKhG1Q,13819 +annotated_types/__pycache__/__init__.cpython-310.pyc,, +annotated_types/__pycache__/test_cases.cpython-310.pyc,, +annotated_types/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +annotated_types/test_cases.py,sha256=zHFX6EpcMbGJ8FzBYDbO56bPwx_DYIVSKbZM-4B3_lg,6421 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/WHEEL b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..516596c76787b10928cbab24f22c0ea00433b15d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/WHEEL @@ -0,0 +1,4 @@ +Wheel-Version: 1.0 +Generator: hatchling 1.24.2 +Root-Is-Purelib: true +Tag: py3-none-any diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/licenses/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..d99323a9965f146d5b0888c4ca1bf0727e12b04f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types-0.7.0.dist-info/licenses/LICENSE @@ -0,0 +1,21 @@ +The MIT License (MIT) + +Copyright (c) 2022 the contributors + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..74e0deeab3f5904260ac2d36d64fbdec7e0ee0bf --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types/__init__.py @@ -0,0 +1,432 @@ +import math +import sys +import types +from dataclasses import dataclass +from datetime import tzinfo +from typing import TYPE_CHECKING, Any, Callable, Iterator, Optional, SupportsFloat, SupportsIndex, TypeVar, Union + +if sys.version_info < (3, 8): + from typing_extensions import Protocol, runtime_checkable +else: + from typing import Protocol, runtime_checkable + +if sys.version_info < (3, 9): + from typing_extensions import Annotated, Literal +else: + from typing import Annotated, Literal + +if sys.version_info < (3, 10): + EllipsisType = type(Ellipsis) + KW_ONLY = {} + SLOTS = {} +else: + from types import EllipsisType + + KW_ONLY = {"kw_only": True} + SLOTS = {"slots": True} + + +__all__ = ( + 'BaseMetadata', + 'GroupedMetadata', + 'Gt', + 'Ge', + 'Lt', + 'Le', + 'Interval', + 'MultipleOf', + 'MinLen', + 'MaxLen', + 'Len', + 'Timezone', + 'Predicate', + 'LowerCase', + 'UpperCase', + 'IsDigits', + 'IsFinite', + 'IsNotFinite', + 'IsNan', + 'IsNotNan', + 'IsInfinite', + 'IsNotInfinite', + 'doc', + 'DocInfo', + '__version__', +) + +__version__ = '0.7.0' + + +T = TypeVar('T') + + +# arguments that start with __ are considered +# positional only +# see https://peps.python.org/pep-0484/#positional-only-arguments + + +class SupportsGt(Protocol): + def __gt__(self: T, __other: T) -> bool: + ... + + +class SupportsGe(Protocol): + def __ge__(self: T, __other: T) -> bool: + ... + + +class SupportsLt(Protocol): + def __lt__(self: T, __other: T) -> bool: + ... + + +class SupportsLe(Protocol): + def __le__(self: T, __other: T) -> bool: + ... + + +class SupportsMod(Protocol): + def __mod__(self: T, __other: T) -> T: + ... + + +class SupportsDiv(Protocol): + def __div__(self: T, __other: T) -> T: + ... + + +class BaseMetadata: + """Base class for all metadata. + + This exists mainly so that implementers + can do `isinstance(..., BaseMetadata)` while traversing field annotations. + """ + + __slots__ = () + + +@dataclass(frozen=True, **SLOTS) +class Gt(BaseMetadata): + """Gt(gt=x) implies that the value must be greater than x. + + It can be used with any type that supports the ``>`` operator, + including numbers, dates and times, strings, sets, and so on. + """ + + gt: SupportsGt + + +@dataclass(frozen=True, **SLOTS) +class Ge(BaseMetadata): + """Ge(ge=x) implies that the value must be greater than or equal to x. + + It can be used with any type that supports the ``>=`` operator, + including numbers, dates and times, strings, sets, and so on. + """ + + ge: SupportsGe + + +@dataclass(frozen=True, **SLOTS) +class Lt(BaseMetadata): + """Lt(lt=x) implies that the value must be less than x. + + It can be used with any type that supports the ``<`` operator, + including numbers, dates and times, strings, sets, and so on. + """ + + lt: SupportsLt + + +@dataclass(frozen=True, **SLOTS) +class Le(BaseMetadata): + """Le(le=x) implies that the value must be less than or equal to x. + + It can be used with any type that supports the ``<=`` operator, + including numbers, dates and times, strings, sets, and so on. + """ + + le: SupportsLe + + +@runtime_checkable +class GroupedMetadata(Protocol): + """A grouping of multiple objects, like typing.Unpack. + + `GroupedMetadata` on its own is not metadata and has no meaning. + All of the constraints and metadata should be fully expressable + in terms of the `BaseMetadata`'s returned by `GroupedMetadata.__iter__()`. + + Concrete implementations should override `GroupedMetadata.__iter__()` + to add their own metadata. + For example: + + >>> @dataclass + >>> class Field(GroupedMetadata): + >>> gt: float | None = None + >>> description: str | None = None + ... + >>> def __iter__(self) -> Iterable[object]: + >>> if self.gt is not None: + >>> yield Gt(self.gt) + >>> if self.description is not None: + >>> yield Description(self.gt) + + Also see the implementation of `Interval` below for an example. + + Parsers should recognize this and unpack it so that it can be used + both with and without unpacking: + + - `Annotated[int, Field(...)]` (parser must unpack Field) + - `Annotated[int, *Field(...)]` (PEP-646) + """ # noqa: trailing-whitespace + + @property + def __is_annotated_types_grouped_metadata__(self) -> Literal[True]: + return True + + def __iter__(self) -> Iterator[object]: + ... + + if not TYPE_CHECKING: + __slots__ = () # allow subclasses to use slots + + def __init_subclass__(cls, *args: Any, **kwargs: Any) -> None: + # Basic ABC like functionality without the complexity of an ABC + super().__init_subclass__(*args, **kwargs) + if cls.__iter__ is GroupedMetadata.__iter__: + raise TypeError("Can't subclass GroupedMetadata without implementing __iter__") + + def __iter__(self) -> Iterator[object]: # noqa: F811 + raise NotImplementedError # more helpful than "None has no attribute..." type errors + + +@dataclass(frozen=True, **KW_ONLY, **SLOTS) +class Interval(GroupedMetadata): + """Interval can express inclusive or exclusive bounds with a single object. + + It accepts keyword arguments ``gt``, ``ge``, ``lt``, and/or ``le``, which + are interpreted the same way as the single-bound constraints. + """ + + gt: Union[SupportsGt, None] = None + ge: Union[SupportsGe, None] = None + lt: Union[SupportsLt, None] = None + le: Union[SupportsLe, None] = None + + def __iter__(self) -> Iterator[BaseMetadata]: + """Unpack an Interval into zero or more single-bounds.""" + if self.gt is not None: + yield Gt(self.gt) + if self.ge is not None: + yield Ge(self.ge) + if self.lt is not None: + yield Lt(self.lt) + if self.le is not None: + yield Le(self.le) + + +@dataclass(frozen=True, **SLOTS) +class MultipleOf(BaseMetadata): + """MultipleOf(multiple_of=x) might be interpreted in two ways: + + 1. Python semantics, implying ``value % multiple_of == 0``, or + 2. JSONschema semantics, where ``int(value / multiple_of) == value / multiple_of`` + + We encourage users to be aware of these two common interpretations, + and libraries to carefully document which they implement. + """ + + multiple_of: Union[SupportsDiv, SupportsMod] + + +@dataclass(frozen=True, **SLOTS) +class MinLen(BaseMetadata): + """ + MinLen() implies minimum inclusive length, + e.g. ``len(value) >= min_length``. + """ + + min_length: Annotated[int, Ge(0)] + + +@dataclass(frozen=True, **SLOTS) +class MaxLen(BaseMetadata): + """ + MaxLen() implies maximum inclusive length, + e.g. ``len(value) <= max_length``. + """ + + max_length: Annotated[int, Ge(0)] + + +@dataclass(frozen=True, **SLOTS) +class Len(GroupedMetadata): + """ + Len() implies that ``min_length <= len(value) <= max_length``. + + Upper bound may be omitted or ``None`` to indicate no upper length bound. + """ + + min_length: Annotated[int, Ge(0)] = 0 + max_length: Optional[Annotated[int, Ge(0)]] = None + + def __iter__(self) -> Iterator[BaseMetadata]: + """Unpack a Len into zone or more single-bounds.""" + if self.min_length > 0: + yield MinLen(self.min_length) + if self.max_length is not None: + yield MaxLen(self.max_length) + + +@dataclass(frozen=True, **SLOTS) +class Timezone(BaseMetadata): + """Timezone(tz=...) requires a datetime to be aware (or ``tz=None``, naive). + + ``Annotated[datetime, Timezone(None)]`` must be a naive datetime. + ``Timezone[...]`` (the ellipsis literal) expresses that the datetime must be + tz-aware but any timezone is allowed. + + You may also pass a specific timezone string or tzinfo object such as + ``Timezone(timezone.utc)`` or ``Timezone("Africa/Abidjan")`` to express that + you only allow a specific timezone, though we note that this is often + a symptom of poor design. + """ + + tz: Union[str, tzinfo, EllipsisType, None] + + +@dataclass(frozen=True, **SLOTS) +class Unit(BaseMetadata): + """Indicates that the value is a physical quantity with the specified unit. + + It is intended for usage with numeric types, where the value represents the + magnitude of the quantity. For example, ``distance: Annotated[float, Unit('m')]`` + or ``speed: Annotated[float, Unit('m/s')]``. + + Interpretation of the unit string is left to the discretion of the consumer. + It is suggested to follow conventions established by python libraries that work + with physical quantities, such as + + - ``pint`` : + - ``astropy.units``: + + For indicating a quantity with a certain dimensionality but without a specific unit + it is recommended to use square brackets, e.g. `Annotated[float, Unit('[time]')]`. + Note, however, ``annotated_types`` itself makes no use of the unit string. + """ + + unit: str + + +@dataclass(frozen=True, **SLOTS) +class Predicate(BaseMetadata): + """``Predicate(func: Callable)`` implies `func(value)` is truthy for valid values. + + Users should prefer statically inspectable metadata, but if you need the full + power and flexibility of arbitrary runtime predicates... here it is. + + We provide a few predefined predicates for common string constraints: + ``IsLower = Predicate(str.islower)``, ``IsUpper = Predicate(str.isupper)``, and + ``IsDigits = Predicate(str.isdigit)``. Users are encouraged to use methods which + can be given special handling, and avoid indirection like ``lambda s: s.lower()``. + + Some libraries might have special logic to handle certain predicates, e.g. by + checking for `str.isdigit` and using its presence to both call custom logic to + enforce digit-only strings, and customise some generated external schema. + + We do not specify what behaviour should be expected for predicates that raise + an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently + skip invalid constraints, or statically raise an error; or it might try calling it + and then propagate or discard the resulting exception. + """ + + func: Callable[[Any], bool] + + def __repr__(self) -> str: + if getattr(self.func, "__name__", "") == "": + return f"{self.__class__.__name__}({self.func!r})" + if isinstance(self.func, (types.MethodType, types.BuiltinMethodType)) and ( + namespace := getattr(self.func.__self__, "__name__", None) + ): + return f"{self.__class__.__name__}({namespace}.{self.func.__name__})" + if isinstance(self.func, type(str.isascii)): # method descriptor + return f"{self.__class__.__name__}({self.func.__qualname__})" + return f"{self.__class__.__name__}({self.func.__name__})" + + +@dataclass +class Not: + func: Callable[[Any], bool] + + def __call__(self, __v: Any) -> bool: + return not self.func(__v) + + +_StrType = TypeVar("_StrType", bound=str) + +LowerCase = Annotated[_StrType, Predicate(str.islower)] +""" +Return True if the string is a lowercase string, False otherwise. + +A string is lowercase if all cased characters in the string are lowercase and there is at least one cased character in the string. +""" # noqa: E501 +UpperCase = Annotated[_StrType, Predicate(str.isupper)] +""" +Return True if the string is an uppercase string, False otherwise. + +A string is uppercase if all cased characters in the string are uppercase and there is at least one cased character in the string. +""" # noqa: E501 +IsDigit = Annotated[_StrType, Predicate(str.isdigit)] +IsDigits = IsDigit # type: ignore # plural for backwards compatibility, see #63 +""" +Return True if the string is a digit string, False otherwise. + +A string is a digit string if all characters in the string are digits and there is at least one character in the string. +""" # noqa: E501 +IsAscii = Annotated[_StrType, Predicate(str.isascii)] +""" +Return True if all characters in the string are ASCII, False otherwise. + +ASCII characters have code points in the range U+0000-U+007F. Empty string is ASCII too. +""" + +_NumericType = TypeVar('_NumericType', bound=Union[SupportsFloat, SupportsIndex]) +IsFinite = Annotated[_NumericType, Predicate(math.isfinite)] +"""Return True if x is neither an infinity nor a NaN, and False otherwise.""" +IsNotFinite = Annotated[_NumericType, Predicate(Not(math.isfinite))] +"""Return True if x is one of infinity or NaN, and False otherwise""" +IsNan = Annotated[_NumericType, Predicate(math.isnan)] +"""Return True if x is a NaN (not a number), and False otherwise.""" +IsNotNan = Annotated[_NumericType, Predicate(Not(math.isnan))] +"""Return True if x is anything but NaN (not a number), and False otherwise.""" +IsInfinite = Annotated[_NumericType, Predicate(math.isinf)] +"""Return True if x is a positive or negative infinity, and False otherwise.""" +IsNotInfinite = Annotated[_NumericType, Predicate(Not(math.isinf))] +"""Return True if x is neither a positive or negative infinity, and False otherwise.""" + +try: + from typing_extensions import DocInfo, doc # type: ignore [attr-defined] +except ImportError: + + @dataclass(frozen=True, **SLOTS) + class DocInfo: # type: ignore [no-redef] + """ " + The return value of doc(), mainly to be used by tools that want to extract the + Annotated documentation at runtime. + """ + + documentation: str + """The documentation string passed to doc().""" + + def doc( + documentation: str, + ) -> DocInfo: + """ + Add documentation to a type annotation inside of Annotated. + + For example: + + >>> def hi(name: Annotated[int, doc("The name of the user")]) -> None: ... + """ + return DocInfo(documentation) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types/test_cases.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types/test_cases.py new file mode 100644 index 0000000000000000000000000000000000000000..d9164d6883d2dd47cb766b483592ca3730f6f09d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/annotated_types/test_cases.py @@ -0,0 +1,151 @@ +import math +import sys +from datetime import date, datetime, timedelta, timezone +from decimal import Decimal +from typing import Any, Dict, Iterable, Iterator, List, NamedTuple, Set, Tuple + +if sys.version_info < (3, 9): + from typing_extensions import Annotated +else: + from typing import Annotated + +import annotated_types as at + + +class Case(NamedTuple): + """ + A test case for `annotated_types`. + """ + + annotation: Any + valid_cases: Iterable[Any] + invalid_cases: Iterable[Any] + + +def cases() -> Iterable[Case]: + # Gt, Ge, Lt, Le + yield Case(Annotated[int, at.Gt(4)], (5, 6, 1000), (4, 0, -1)) + yield Case(Annotated[float, at.Gt(0.5)], (0.6, 0.7, 0.8, 0.9), (0.5, 0.0, -0.1)) + yield Case( + Annotated[datetime, at.Gt(datetime(2000, 1, 1))], + [datetime(2000, 1, 2), datetime(2000, 1, 3)], + [datetime(2000, 1, 1), datetime(1999, 12, 31)], + ) + yield Case( + Annotated[datetime, at.Gt(date(2000, 1, 1))], + [date(2000, 1, 2), date(2000, 1, 3)], + [date(2000, 1, 1), date(1999, 12, 31)], + ) + yield Case( + Annotated[datetime, at.Gt(Decimal('1.123'))], + [Decimal('1.1231'), Decimal('123')], + [Decimal('1.123'), Decimal('0')], + ) + + yield Case(Annotated[int, at.Ge(4)], (4, 5, 6, 1000, 4), (0, -1)) + yield Case(Annotated[float, at.Ge(0.5)], (0.5, 0.6, 0.7, 0.8, 0.9), (0.4, 0.0, -0.1)) + yield Case( + Annotated[datetime, at.Ge(datetime(2000, 1, 1))], + [datetime(2000, 1, 2), datetime(2000, 1, 3)], + [datetime(1998, 1, 1), datetime(1999, 12, 31)], + ) + + yield Case(Annotated[int, at.Lt(4)], (0, -1), (4, 5, 6, 1000, 4)) + yield Case(Annotated[float, at.Lt(0.5)], (0.4, 0.0, -0.1), (0.5, 0.6, 0.7, 0.8, 0.9)) + yield Case( + Annotated[datetime, at.Lt(datetime(2000, 1, 1))], + [datetime(1999, 12, 31), datetime(1999, 12, 31)], + [datetime(2000, 1, 2), datetime(2000, 1, 3)], + ) + + yield Case(Annotated[int, at.Le(4)], (4, 0, -1), (5, 6, 1000)) + yield Case(Annotated[float, at.Le(0.5)], (0.5, 0.0, -0.1), (0.6, 0.7, 0.8, 0.9)) + yield Case( + Annotated[datetime, at.Le(datetime(2000, 1, 1))], + [datetime(2000, 1, 1), datetime(1999, 12, 31)], + [datetime(2000, 1, 2), datetime(2000, 1, 3)], + ) + + # Interval + yield Case(Annotated[int, at.Interval(gt=4)], (5, 6, 1000), (4, 0, -1)) + yield Case(Annotated[int, at.Interval(gt=4, lt=10)], (5, 6), (4, 10, 1000, 0, -1)) + yield Case(Annotated[float, at.Interval(ge=0.5, le=1)], (0.5, 0.9, 1), (0.49, 1.1)) + yield Case( + Annotated[datetime, at.Interval(gt=datetime(2000, 1, 1), le=datetime(2000, 1, 3))], + [datetime(2000, 1, 2), datetime(2000, 1, 3)], + [datetime(2000, 1, 1), datetime(2000, 1, 4)], + ) + + yield Case(Annotated[int, at.MultipleOf(multiple_of=3)], (0, 3, 9), (1, 2, 4)) + yield Case(Annotated[float, at.MultipleOf(multiple_of=0.5)], (0, 0.5, 1, 1.5), (0.4, 1.1)) + + # lengths + + yield Case(Annotated[str, at.MinLen(3)], ('123', '1234', 'x' * 10), ('', '1', '12')) + yield Case(Annotated[str, at.Len(3)], ('123', '1234', 'x' * 10), ('', '1', '12')) + yield Case(Annotated[List[int], at.MinLen(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2])) + yield Case(Annotated[List[int], at.Len(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2])) + + yield Case(Annotated[str, at.MaxLen(4)], ('', '1234'), ('12345', 'x' * 10)) + yield Case(Annotated[str, at.Len(0, 4)], ('', '1234'), ('12345', 'x' * 10)) + yield Case(Annotated[List[str], at.MaxLen(4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10)) + yield Case(Annotated[List[str], at.Len(0, 4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10)) + + yield Case(Annotated[str, at.Len(3, 5)], ('123', '12345'), ('', '1', '12', '123456', 'x' * 10)) + yield Case(Annotated[str, at.Len(3, 3)], ('123',), ('12', '1234')) + + yield Case(Annotated[Dict[int, int], at.Len(2, 3)], [{1: 1, 2: 2}], [{}, {1: 1}, {1: 1, 2: 2, 3: 3, 4: 4}]) + yield Case(Annotated[Set[int], at.Len(2, 3)], ({1, 2}, {1, 2, 3}), (set(), {1}, {1, 2, 3, 4})) + yield Case(Annotated[Tuple[int, ...], at.Len(2, 3)], ((1, 2), (1, 2, 3)), ((), (1,), (1, 2, 3, 4))) + + # Timezone + + yield Case( + Annotated[datetime, at.Timezone(None)], [datetime(2000, 1, 1)], [datetime(2000, 1, 1, tzinfo=timezone.utc)] + ) + yield Case( + Annotated[datetime, at.Timezone(...)], [datetime(2000, 1, 1, tzinfo=timezone.utc)], [datetime(2000, 1, 1)] + ) + yield Case( + Annotated[datetime, at.Timezone(timezone.utc)], + [datetime(2000, 1, 1, tzinfo=timezone.utc)], + [datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))], + ) + yield Case( + Annotated[datetime, at.Timezone('Europe/London')], + [datetime(2000, 1, 1, tzinfo=timezone(timedelta(0), name='Europe/London'))], + [datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))], + ) + + # Quantity + + yield Case(Annotated[float, at.Unit(unit='m')], (5, 4.2), ('5m', '4.2m')) + + # predicate types + + yield Case(at.LowerCase[str], ['abc', 'foobar'], ['', 'A', 'Boom']) + yield Case(at.UpperCase[str], ['ABC', 'DEFO'], ['', 'a', 'abc', 'AbC']) + yield Case(at.IsDigit[str], ['123'], ['', 'ab', 'a1b2']) + yield Case(at.IsAscii[str], ['123', 'foo bar'], ['£100', '😊', 'whatever 👀']) + + yield Case(Annotated[int, at.Predicate(lambda x: x % 2 == 0)], [0, 2, 4], [1, 3, 5]) + + yield Case(at.IsFinite[float], [1.23], [math.nan, math.inf, -math.inf]) + yield Case(at.IsNotFinite[float], [math.nan, math.inf], [1.23]) + yield Case(at.IsNan[float], [math.nan], [1.23, math.inf]) + yield Case(at.IsNotNan[float], [1.23, math.inf], [math.nan]) + yield Case(at.IsInfinite[float], [math.inf], [math.nan, 1.23]) + yield Case(at.IsNotInfinite[float], [math.nan, 1.23], [math.inf]) + + # check stacked predicates + yield Case(at.IsInfinite[Annotated[float, at.Predicate(lambda x: x > 0)]], [math.inf], [-math.inf, 1.23, math.nan]) + + # doc + yield Case(Annotated[int, at.doc("A number")], [1, 2], []) + + # custom GroupedMetadata + class MyCustomGroupedMetadata(at.GroupedMetadata): + def __iter__(self) -> Iterator[at.Predicate]: + yield at.Predicate(lambda x: float(x).is_integer()) + + yield Case(Annotated[float, MyCustomGroupedMetadata()], [0, 2.0], [0.01, 1.5]) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/BufferedTokenStream.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/BufferedTokenStream.py new file mode 100644 index 0000000000000000000000000000000000000000..aaa58c63dc02b8b0bf43398b751f1d14fef89ad9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/BufferedTokenStream.py @@ -0,0 +1,302 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. + +# This implementation of {@link TokenStream} loads tokens from a +# {@link TokenSource} on-demand, and places the tokens in a buffer to provide +# access to any previous token by index. +# +#

    +# This token stream ignores the value of {@link Token#getChannel}. If your +# parser requires the token stream filter tokens to only those on a particular +# channel, such as {@link Token#DEFAULT_CHANNEL} or +# {@link Token#HIDDEN_CHANNEL}, use a filtering token stream such a +# {@link CommonTokenStream}.

    +from io import StringIO +from antlr4.Token import Token +from antlr4.error.Errors import IllegalStateException + +# need forward declaration +Lexer = None + +# this is just to keep meaningful parameter types to Parser +class TokenStream(object): + + pass + + +class BufferedTokenStream(TokenStream): + __slots__ = ('tokenSource', 'tokens', 'index', 'fetchedEOF') + + def __init__(self, tokenSource:Lexer): + # The {@link TokenSource} from which tokens for this stream are fetched. + self.tokenSource = tokenSource + + # A collection of all tokens fetched from the token source. The list is + # considered a complete view of the input once {@link #fetchedEOF} is set + # to {@code true}. + self.tokens = [] + + # The index into {@link #tokens} of the current token (next token to + # {@link #consume}). {@link #tokens}{@code [}{@link #p}{@code ]} should be + # {@link #LT LT(1)}. + # + #

    This field is set to -1 when the stream is first constructed or when + # {@link #setTokenSource} is called, indicating that the first token has + # not yet been fetched from the token source. For additional information, + # see the documentation of {@link IntStream} for a description of + # Initializing Methods.

    + self.index = -1 + + # Indicates whether the {@link Token#EOF} token has been fetched from + # {@link #tokenSource} and added to {@link #tokens}. This field improves + # performance for the following cases: + # + #
      + #
    • {@link #consume}: The lookahead check in {@link #consume} to prevent + # consuming the EOF symbol is optimized by checking the values of + # {@link #fetchedEOF} and {@link #p} instead of calling {@link #LA}.
      • + #
    • {@link #fetch}: The check to prevent adding multiple EOF symbols into + # {@link #tokens} is trivial with this field.
      • + #
        + self.fetchedEOF = False + + def mark(self): + return 0 + + def release(self, marker:int): + # no resources to release + pass + + def reset(self): + self.seek(0) + + def seek(self, index:int): + self.lazyInit() + self.index = self.adjustSeekIndex(index) + + def get(self, index:int): + self.lazyInit() + return self.tokens[index] + + def consume(self): + skipEofCheck = False + if self.index >= 0: + if self.fetchedEOF: + # the last token in tokens is EOF. skip check if p indexes any + # fetched token except the last. + skipEofCheck = self.index < len(self.tokens) - 1 + else: + # no EOF token in tokens. skip check if p indexes a fetched token. + skipEofCheck = self.index < len(self.tokens) + else: + # not yet initialized + skipEofCheck = False + + if not skipEofCheck and self.LA(1) == Token.EOF: + raise IllegalStateException("cannot consume EOF") + + if self.sync(self.index + 1): + self.index = self.adjustSeekIndex(self.index + 1) + + # Make sure index {@code i} in tokens has a token. + # + # @return {@code true} if a token is located at index {@code i}, otherwise + # {@code false}. + # @see #get(int i) + #/ + def sync(self, i:int): + n = i - len(self.tokens) + 1 # how many more elements we need? + if n > 0 : + fetched = self.fetch(n) + return fetched >= n + return True + + # Add {@code n} elements to buffer. + # + # @return The actual number of elements added to the buffer. + #/ + def fetch(self, n:int): + if self.fetchedEOF: + return 0 + for i in range(0, n): + t = self.tokenSource.nextToken() + t.tokenIndex = len(self.tokens) + self.tokens.append(t) + if t.type==Token.EOF: + self.fetchedEOF = True + return i + 1 + return n + + + # Get all tokens from start..stop inclusively#/ + def getTokens(self, start:int, stop:int, types:set=None): + if start<0 or stop<0: + return None + self.lazyInit() + subset = [] + if stop >= len(self.tokens): + stop = len(self.tokens)-1 + for i in range(start, stop): + t = self.tokens[i] + if t.type==Token.EOF: + break + if types is None or t.type in types: + subset.append(t) + return subset + + def LA(self, i:int): + return self.LT(i).type + + def LB(self, k:int): + if (self.index-k) < 0: + return None + return self.tokens[self.index-k] + + def LT(self, k:int): + self.lazyInit() + if k==0: + return None + if k < 0: + return self.LB(-k) + i = self.index + k - 1 + self.sync(i) + if i >= len(self.tokens): # return EOF token + # EOF must be last token + return self.tokens[len(self.tokens)-1] + return self.tokens[i] + + # Allowed derived classes to modify the behavior of operations which change + # the current stream position by adjusting the target token index of a seek + # operation. The default implementation simply returns {@code i}. If an + # exception is thrown in this method, the current stream index should not be + # changed. + # + #

        For example, {@link CommonTokenStream} overrides this method to ensure that + # the seek target is always an on-channel token.

        + # + # @param i The target token index. + # @return The adjusted target token index. + + def adjustSeekIndex(self, i:int): + return i + + def lazyInit(self): + if self.index == -1: + self.setup() + + def setup(self): + self.sync(0) + self.index = self.adjustSeekIndex(0) + + # Reset this token stream by setting its token source.#/ + def setTokenSource(self, tokenSource:Lexer): + self.tokenSource = tokenSource + self.tokens = [] + self.index = -1 + self.fetchedEOF = False + + + # Given a starting index, return the index of the next token on channel. + # Return i if tokens[i] is on channel. Return the index of the EOF token + # if there are no tokens on channel between i and EOF. + #/ + def nextTokenOnChannel(self, i:int, channel:int): + self.sync(i) + if i>=len(self.tokens): + return len(self.tokens) - 1 + token = self.tokens[i] + while token.channel!=channel: + if token.type==Token.EOF: + return i + i += 1 + self.sync(i) + token = self.tokens[i] + return i + + # Given a starting index, return the index of the previous token on channel. + # Return i if tokens[i] is on channel. Return -1 if there are no tokens + # on channel between i and 0. + def previousTokenOnChannel(self, i:int, channel:int): + while i>=0 and self.tokens[i].channel!=channel: + i -= 1 + return i + + # Collect all tokens on specified channel to the right of + # the current token up until we see a token on DEFAULT_TOKEN_CHANNEL or + # EOF. If channel is -1, find any non default channel token. + def getHiddenTokensToRight(self, tokenIndex:int, channel:int=-1): + self.lazyInit() + if tokenIndex<0 or tokenIndex>=len(self.tokens): + raise Exception(str(tokenIndex) + " not in 0.." + str(len(self.tokens)-1)) + from antlr4.Lexer import Lexer + nextOnChannel = self.nextTokenOnChannel(tokenIndex + 1, Lexer.DEFAULT_TOKEN_CHANNEL) + from_ = tokenIndex+1 + # if none onchannel to right, nextOnChannel=-1 so set to = last token + to = (len(self.tokens)-1) if nextOnChannel==-1 else nextOnChannel + return self.filterForChannel(from_, to, channel) + + + # Collect all tokens on specified channel to the left of + # the current token up until we see a token on DEFAULT_TOKEN_CHANNEL. + # If channel is -1, find any non default channel token. + def getHiddenTokensToLeft(self, tokenIndex:int, channel:int=-1): + self.lazyInit() + if tokenIndex<0 or tokenIndex>=len(self.tokens): + raise Exception(str(tokenIndex) + " not in 0.." + str(len(self.tokens)-1)) + from antlr4.Lexer import Lexer + prevOnChannel = self.previousTokenOnChannel(tokenIndex - 1, Lexer.DEFAULT_TOKEN_CHANNEL) + if prevOnChannel == tokenIndex - 1: + return None + # if none on channel to left, prevOnChannel=-1 then from=0 + from_ = prevOnChannel+1 + to = tokenIndex-1 + return self.filterForChannel(from_, to, channel) + + + def filterForChannel(self, left:int, right:int, channel:int): + hidden = [] + for i in range(left, right+1): + t = self.tokens[i] + if channel==-1: + from antlr4.Lexer import Lexer + if t.channel!= Lexer.DEFAULT_TOKEN_CHANNEL: + hidden.append(t) + elif t.channel==channel: + hidden.append(t) + if len(hidden)==0: + return None + return hidden + + def getSourceName(self): + return self.tokenSource.getSourceName() + + # Get the text of all tokens in this buffer.#/ + def getText(self, start:int=None, stop:int=None): + self.lazyInit() + self.fill() + if isinstance(start, Token): + start = start.tokenIndex + elif start is None: + start = 0 + if isinstance(stop, Token): + stop = stop.tokenIndex + elif stop is None or stop >= len(self.tokens): + stop = len(self.tokens) - 1 + if start < 0 or stop < 0 or stop < start: + return "" + with StringIO() as buf: + for i in range(start, stop+1): + t = self.tokens[i] + if t.type==Token.EOF: + break + buf.write(t.text) + return buf.getvalue() + + + # Get all tokens from lexer until EOF#/ + def fill(self): + self.lazyInit() + while self.fetch(1000)==1000: + pass diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/CommonTokenFactory.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/CommonTokenFactory.py new file mode 100644 index 0000000000000000000000000000000000000000..0d09ad78598de14f7a32d813c667e877ef1c0f6c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/CommonTokenFactory.py @@ -0,0 +1,61 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# +# This default implementation of {@link TokenFactory} creates +# {@link CommonToken} objects. +# +from antlr4.Token import CommonToken + +class TokenFactory(object): + + pass + +class CommonTokenFactory(TokenFactory): + __slots__ = 'copyText' + + # + # The default {@link CommonTokenFactory} instance. + # + #

        + # This token factory does not explicitly copy token text when constructing + # tokens.

        + # + DEFAULT = None + + def __init__(self, copyText:bool=False): + # Indicates whether {@link CommonToken#setText} should be called after + # constructing tokens to explicitly set the text. This is useful for cases + # where the input stream might not be able to provide arbitrary substrings + # of text from the input after the lexer creates a token (e.g. the + # implementation of {@link CharStream#getText} in + # {@link UnbufferedCharStream} throws an + # {@link UnsupportedOperationException}). Explicitly setting the token text + # allows {@link Token#getText} to be called at any time regardless of the + # input stream implementation. + # + #

        + # The default value is {@code false} to avoid the performance and memory + # overhead of copying text for every token unless explicitly requested.

        + # + self.copyText = copyText + + def create(self, source, type:int, text:str, channel:int, start:int, stop:int, line:int, column:int): + t = CommonToken(source, type, channel, start, stop) + t.line = line + t.column = column + if text is not None: + t.text = text + elif self.copyText and source[1] is not None: + t.text = source[1].getText(start,stop) + return t + + def createThin(self, type:int, text:str): + t = CommonToken(type=type) + t.text = text + return t + +CommonTokenFactory.DEFAULT = CommonTokenFactory() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/CommonTokenStream.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/CommonTokenStream.py new file mode 100644 index 0000000000000000000000000000000000000000..dd0a984e33fe42b3499844705b698953e7f04af9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/CommonTokenStream.py @@ -0,0 +1,87 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ + +# +# This class extends {@link BufferedTokenStream} with functionality to filter +# token streams to tokens on a particular channel (tokens where +# {@link Token#getChannel} returns a particular value). +# +#

        +# This token stream provides access to all tokens by index or when calling +# methods like {@link #getText}. The channel filtering is only used for code +# accessing tokens via the lookahead methods {@link #LA}, {@link #LT}, and +# {@link #LB}.

        +# +#

        +# By default, tokens are placed on the default channel +# ({@link Token#DEFAULT_CHANNEL}), but may be reassigned by using the +# {@code ->channel(HIDDEN)} lexer command, or by using an embedded action to +# call {@link Lexer#setChannel}. +#

        +# +#

        +# Note: lexer rules which use the {@code ->skip} lexer command or call +# {@link Lexer#skip} do not produce tokens at all, so input text matched by +# such a rule will not be available as part of the token stream, regardless of +# channel.

        +#/ + +from antlr4.BufferedTokenStream import BufferedTokenStream +from antlr4.Lexer import Lexer +from antlr4.Token import Token + + +class CommonTokenStream(BufferedTokenStream): + __slots__ = 'channel' + + def __init__(self, lexer:Lexer, channel:int=Token.DEFAULT_CHANNEL): + super().__init__(lexer) + self.channel = channel + + def adjustSeekIndex(self, i:int): + return self.nextTokenOnChannel(i, self.channel) + + def LB(self, k:int): + if k==0 or (self.index-k)<0: + return None + i = self.index + n = 1 + # find k good tokens looking backwards + while n <= k: + # skip off-channel tokens + i = self.previousTokenOnChannel(i - 1, self.channel) + n += 1 + if i < 0: + return None + return self.tokens[i] + + def LT(self, k:int): + self.lazyInit() + if k == 0: + return None + if k < 0: + return self.LB(-k) + i = self.index + n = 1 # we know tokens[pos] is a good one + # find k good tokens + while n < k: + # skip off-channel tokens, but make sure to not look past EOF + if self.sync(i + 1): + i = self.nextTokenOnChannel(i + 1, self.channel) + n += 1 + return self.tokens[i] + + # Count EOF just once.#/ + def getNumberOfOnChannelTokens(self): + n = 0 + self.fill() + for i in range(0, len(self.tokens)): + t = self.tokens[i] + if t.channel==self.channel: + n += 1 + if t.type==Token.EOF: + break + return n diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/FileStream.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/FileStream.py new file mode 100644 index 0000000000000000000000000000000000000000..1c6ce9fbc02a6f42965f44d5df0a55787626d7eb --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/FileStream.py @@ -0,0 +1,27 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# +# This is an InputStream that is loaded from a file all at once +# when you construct the object. +# + +import codecs +from antlr4.InputStream import InputStream + + +class FileStream(InputStream): + __slots__ = 'fileName' + + def __init__(self, fileName:str, encoding:str='ascii', errors:str='strict'): + super().__init__(self.readDataFrom(fileName, encoding, errors)) + self.fileName = fileName + + def readDataFrom(self, fileName:str, encoding:str, errors:str='strict'): + # read binary to avoid line ending conversion + with open(fileName, 'rb') as file: + bytes = file.read() + return codecs.decode(bytes, encoding, errors) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/InputStream.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/InputStream.py new file mode 100644 index 0000000000000000000000000000000000000000..5d077d13576d2fd5f91153608f91e907092b87d5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/InputStream.py @@ -0,0 +1,87 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + + +# +# Vacuum all input from a string and then treat it like a buffer. +# +from antlr4.Token import Token + + +class InputStream (object): + __slots__ = ('name', 'strdata', '_index', 'data', '_size') + + def __init__(self, data: str): + self.name = "" + self.strdata = data + self._loadString() + + def _loadString(self): + self._index = 0 + self.data = [ord(c) for c in self.strdata] + self._size = len(self.data) + + @property + def index(self): + return self._index + + @property + def size(self): + return self._size + + # Reset the stream so that it's in the same state it was + # when the object was created *except* the data array is not + # touched. + # + def reset(self): + self._index = 0 + + def consume(self): + if self._index >= self._size: + assert self.LA(1) == Token.EOF + raise Exception("cannot consume EOF") + self._index += 1 + + def LA(self, offset: int): + if offset==0: + return 0 # undefined + if offset<0: + offset += 1 # e.g., translate LA(-1) to use offset=0 + pos = self._index + offset - 1 + if pos < 0 or pos >= self._size: # invalid + return Token.EOF + return self.data[pos] + + def LT(self, offset: int): + return self.LA(offset) + + # mark/release do nothing; we have entire buffer + def mark(self): + return -1 + + def release(self, marker: int): + pass + + # consume() ahead until p==_index; can't just set p=_index as we must + # update line and column. If we seek backwards, just set p + # + def seek(self, _index: int): + if _index<=self._index: + self._index = _index # just jump; don't update stream state (line, ...) + return + # seek forward + self._index = min(_index, self._size) + + def getText(self, start :int, stop: int): + if stop >= self._size: + stop = self._size-1 + if start >= self._size: + return "" + else: + return self.strdata[start:stop+1] + + def __str__(self): + return self.strdata diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/IntervalSet.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/IntervalSet.py new file mode 100644 index 0000000000000000000000000000000000000000..fda8e6da3f69ba12147fdcb61268f7000d55d635 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/IntervalSet.py @@ -0,0 +1,180 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +from io import StringIO +from antlr4.Token import Token + +# need forward declarations +IntervalSet = None + +class IntervalSet(object): + __slots__ = ('intervals', 'readonly') + + def __init__(self): + self.intervals = None + self.readonly = False + + def __iter__(self): + if self.intervals is not None: + for i in self.intervals: + for c in i: + yield c + + def __getitem__(self, item): + i = 0 + for k in self: + if i==item: + return k + else: + i += 1 + return Token.INVALID_TYPE + + def addOne(self, v:int): + self.addRange(range(v, v+1)) + + def addRange(self, v:range): + if self.intervals is None: + self.intervals = list() + self.intervals.append(v) + else: + # find insert pos + k = 0 + for i in self.intervals: + # distinct range -> insert + if v.stop adjust + elif v.stop==i.start: + self.intervals[k] = range(v.start, i.stop) + return + # overlapping range -> adjust and reduce + elif v.start<=i.stop: + self.intervals[k] = range(min(i.start,v.start), max(i.stop,v.stop)) + self.reduce(k) + return + k += 1 + # greater than any existing + self.intervals.append(v) + + def addSet(self, other:IntervalSet): + if other.intervals is not None: + for i in other.intervals: + self.addRange(i) + return self + + def reduce(self, k:int): + # only need to reduce if k is not the last + if k= r.stop: + self.intervals.pop(k+1) + self.reduce(k) + elif l.stop >= r.start: + self.intervals[k] = range(l.start, r.stop) + self.intervals.pop(k+1) + + def complement(self, start, stop): + result = IntervalSet() + result.addRange(range(start,stop+1)) + for i in self.intervals: + result.removeRange(i) + return result + + def __contains__(self, item): + if self.intervals is None: + return False + else: + return any(item in i for i in self.intervals) + + def __len__(self): + return sum(len(i) for i in self.intervals) + + def removeRange(self, v): + if v.start==v.stop-1: + self.removeOne(v.start) + elif self.intervals is not None: + k = 0 + for i in self.intervals: + # intervals are ordered + if v.stop<=i.start: + return + # check for including range, split it + elif v.start>i.start and v.stop=i.stop: + self.intervals.pop(k) + k -= 1 # need another pass + # check for lower boundary + elif v.start1: + buf.write("{") + first = True + for i in self.intervals: + for j in i: + if not first: + buf.write(", ") + buf.write(self.elementName(literalNames, symbolicNames, j)) + first = False + if len(self)>1: + buf.write("}") + return buf.getvalue() + + def elementName(self, literalNames:list, symbolicNames:list, a:int): + if a==Token.EOF: + return "" + elif a==Token.EPSILON: + return "" + else: + if a" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/LL1Analyzer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/LL1Analyzer.py new file mode 100644 index 0000000000000000000000000000000000000000..ac149fa2f1d23903ef60593521291c4d9f1945a4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/LL1Analyzer.py @@ -0,0 +1,173 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ +from antlr4.IntervalSet import IntervalSet +from antlr4.Token import Token +from antlr4.PredictionContext import PredictionContext, SingletonPredictionContext, PredictionContextFromRuleContext +from antlr4.RuleContext import RuleContext +from antlr4.atn.ATN import ATN +from antlr4.atn.ATNConfig import ATNConfig +from antlr4.atn.ATNState import ATNState, RuleStopState +from antlr4.atn.Transition import WildcardTransition, NotSetTransition, AbstractPredicateTransition, RuleTransition + + +class LL1Analyzer (object): + __slots__ = 'atn' + + #* Special value added to the lookahead sets to indicate that we hit + # a predicate during analysis if {@code seeThruPreds==false}. + #/ + HIT_PRED = Token.INVALID_TYPE + + def __init__(self, atn:ATN): + self.atn = atn + + #* + # Calculates the SLL(1) expected lookahead set for each outgoing transition + # of an {@link ATNState}. The returned array has one element for each + # outgoing transition in {@code s}. If the closure from transition + # i leads to a semantic predicate before matching a symbol, the + # element at index i of the result will be {@code null}. + # + # @param s the ATN state + # @return the expected symbols for each outgoing transition of {@code s}. + #/ + def getDecisionLookahead(self, s:ATNState): + if s is None: + return None + + count = len(s.transitions) + look = [] * count + for alt in range(0, count): + look[alt] = set() + lookBusy = set() + seeThruPreds = False # fail to get lookahead upon pred + self._LOOK(s.transition(alt).target, None, PredictionContext.EMPTY, + look[alt], lookBusy, set(), seeThruPreds, False) + # Wipe out lookahead for this alternative if we found nothing + # or we had a predicate when we !seeThruPreds + if len(look[alt])==0 or self.HIT_PRED in look[alt]: + look[alt] = None + return look + + #* + # Compute set of tokens that can follow {@code s} in the ATN in the + # specified {@code ctx}. + # + #

        If {@code ctx} is {@code null} and the end of the rule containing + # {@code s} is reached, {@link Token#EPSILON} is added to the result set. + # If {@code ctx} is not {@code null} and the end of the outermost rule is + # reached, {@link Token#EOF} is added to the result set.

        + # + # @param s the ATN state + # @param stopState the ATN state to stop at. This can be a + # {@link BlockEndState} to detect epsilon paths through a closure. + # @param ctx the complete parser context, or {@code null} if the context + # should be ignored + # + # @return The set of tokens that can follow {@code s} in the ATN in the + # specified {@code ctx}. + #/ + def LOOK(self, s:ATNState, stopState:ATNState=None, ctx:RuleContext=None): + r = IntervalSet() + seeThruPreds = True # ignore preds; get all lookahead + lookContext = PredictionContextFromRuleContext(s.atn, ctx) if ctx is not None else None + self._LOOK(s, stopState, lookContext, r, set(), set(), seeThruPreds, True) + return r + + #* + # Compute set of tokens that can follow {@code s} in the ATN in the + # specified {@code ctx}. + # + #

        If {@code ctx} is {@code null} and {@code stopState} or the end of the + # rule containing {@code s} is reached, {@link Token#EPSILON} is added to + # the result set. If {@code ctx} is not {@code null} and {@code addEOF} is + # {@code true} and {@code stopState} or the end of the outermost rule is + # reached, {@link Token#EOF} is added to the result set.

        + # + # @param s the ATN state. + # @param stopState the ATN state to stop at. This can be a + # {@link BlockEndState} to detect epsilon paths through a closure. + # @param ctx The outer context, or {@code null} if the outer context should + # not be used. + # @param look The result lookahead set. + # @param lookBusy A set used for preventing epsilon closures in the ATN + # from causing a stack overflow. Outside code should pass + # {@code new HashSet} for this argument. + # @param calledRuleStack A set used for preventing left recursion in the + # ATN from causing a stack overflow. Outside code should pass + # {@code new BitSet()} for this argument. + # @param seeThruPreds {@code true} to true semantic predicates as + # implicitly {@code true} and "see through them", otherwise {@code false} + # to treat semantic predicates as opaque and add {@link #HIT_PRED} to the + # result if one is encountered. + # @param addEOF Add {@link Token#EOF} to the result if the end of the + # outermost context is reached. This parameter has no effect if {@code ctx} + # is {@code null}. + #/ + def _LOOK(self, s:ATNState, stopState:ATNState , ctx:PredictionContext, look:IntervalSet, lookBusy:set, + calledRuleStack:set, seeThruPreds:bool, addEOF:bool): + c = ATNConfig(s, 0, ctx) + + if c in lookBusy: + return + lookBusy.add(c) + + if s == stopState: + if ctx is None: + look.addOne(Token.EPSILON) + return + elif ctx.isEmpty() and addEOF: + look.addOne(Token.EOF) + return + + if isinstance(s, RuleStopState ): + if ctx is None: + look.addOne(Token.EPSILON) + return + elif ctx.isEmpty() and addEOF: + look.addOne(Token.EOF) + return + + if ctx != PredictionContext.EMPTY: + removed = s.ruleIndex in calledRuleStack + try: + calledRuleStack.discard(s.ruleIndex) + # run thru all possible stack tops in ctx + for i in range(0, len(ctx)): + returnState = self.atn.states[ctx.getReturnState(i)] + self._LOOK(returnState, stopState, ctx.getParent(i), look, lookBusy, calledRuleStack, seeThruPreds, addEOF) + finally: + if removed: + calledRuleStack.add(s.ruleIndex) + return + + for t in s.transitions: + if type(t) == RuleTransition: + if t.target.ruleIndex in calledRuleStack: + continue + + newContext = SingletonPredictionContext.create(ctx, t.followState.stateNumber) + + try: + calledRuleStack.add(t.target.ruleIndex) + self._LOOK(t.target, stopState, newContext, look, lookBusy, calledRuleStack, seeThruPreds, addEOF) + finally: + calledRuleStack.remove(t.target.ruleIndex) + elif isinstance(t, AbstractPredicateTransition ): + if seeThruPreds: + self._LOOK(t.target, stopState, ctx, look, lookBusy, calledRuleStack, seeThruPreds, addEOF) + else: + look.addOne(self.HIT_PRED) + elif t.isEpsilon: + self._LOOK(t.target, stopState, ctx, look, lookBusy, calledRuleStack, seeThruPreds, addEOF) + elif type(t) == WildcardTransition: + look.addRange( range(Token.MIN_USER_TOKEN_TYPE, self.atn.maxTokenType + 1) ) + else: + set_ = t.label + if set_ is not None: + if isinstance(t, NotSetTransition): + set_ = set_.complement(Token.MIN_USER_TOKEN_TYPE, self.atn.maxTokenType) + look.addSet(set_) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Lexer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Lexer.py new file mode 100644 index 0000000000000000000000000000000000000000..82accadcbca680b48f4c0206731259d32adc299e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Lexer.py @@ -0,0 +1,329 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ + +# A lexer is recognizer that draws input symbols from a character stream. +# lexer grammars result in a subclass of self object. A Lexer object +# uses simplified match() and error recovery mechanisms in the interest +# of speed. +#/ +from io import StringIO + +import sys +if sys.version_info[1] > 5: + from typing import TextIO +else: + from typing.io import TextIO +from antlr4.CommonTokenFactory import CommonTokenFactory +from antlr4.atn.LexerATNSimulator import LexerATNSimulator +from antlr4.InputStream import InputStream +from antlr4.Recognizer import Recognizer +from antlr4.Token import Token +from antlr4.error.Errors import IllegalStateException, LexerNoViableAltException, RecognitionException + +class TokenSource(object): + + pass + + +class Lexer(Recognizer, TokenSource): + __slots__ = ( + '_input', '_output', '_factory', '_tokenFactorySourcePair', '_token', + '_tokenStartCharIndex', '_tokenStartLine', '_tokenStartColumn', + '_hitEOF', '_channel', '_type', '_modeStack', '_mode', '_text' + ) + + DEFAULT_MODE = 0 + MORE = -2 + SKIP = -3 + + DEFAULT_TOKEN_CHANNEL = Token.DEFAULT_CHANNEL + HIDDEN = Token.HIDDEN_CHANNEL + MIN_CHAR_VALUE = 0x0000 + MAX_CHAR_VALUE = 0x10FFFF + + def __init__(self, input:InputStream, output:TextIO = sys.stdout): + super().__init__() + self._input = input + self._output = output + self._factory = CommonTokenFactory.DEFAULT + self._tokenFactorySourcePair = (self, input) + + self._interp = None # child classes must populate this + + # The goal of all lexer rules/methods is to create a token object. + # self is an instance variable as multiple rules may collaborate to + # create a single token. nextToken will return self object after + # matching lexer rule(s). If you subclass to allow multiple token + # emissions, then set self to the last token to be matched or + # something nonnull so that the auto token emit mechanism will not + # emit another token. + self._token = None + + # What character index in the stream did the current token start at? + # Needed, for example, to get the text for current token. Set at + # the start of nextToken. + self._tokenStartCharIndex = -1 + + # The line on which the first character of the token resides#/ + self._tokenStartLine = -1 + + # The character position of first character within the line#/ + self._tokenStartColumn = -1 + + # Once we see EOF on char stream, next token will be EOF. + # If you have DONE : EOF ; then you see DONE EOF. + self._hitEOF = False + + # The channel number for the current token#/ + self._channel = Token.DEFAULT_CHANNEL + + # The token type for the current token#/ + self._type = Token.INVALID_TYPE + + self._modeStack = [] + self._mode = self.DEFAULT_MODE + + # You can set the text for the current token to override what is in + # the input char buffer. Use setText() or can set self instance var. + #/ + self._text = None + + + def reset(self): + # wack Lexer state variables + if self._input is not None: + self._input.seek(0) # rewind the input + self._token = None + self._type = Token.INVALID_TYPE + self._channel = Token.DEFAULT_CHANNEL + self._tokenStartCharIndex = -1 + self._tokenStartColumn = -1 + self._tokenStartLine = -1 + self._text = None + + self._hitEOF = False + self._mode = Lexer.DEFAULT_MODE + self._modeStack = [] + + self._interp.reset() + + # Return a token from self source; i.e., match a token on the char + # stream. + def nextToken(self): + if self._input is None: + raise IllegalStateException("nextToken requires a non-null input stream.") + + # Mark start location in char stream so unbuffered streams are + # guaranteed at least have text of current token + tokenStartMarker = self._input.mark() + try: + while True: + if self._hitEOF: + self.emitEOF() + return self._token + self._token = None + self._channel = Token.DEFAULT_CHANNEL + self._tokenStartCharIndex = self._input.index + self._tokenStartColumn = self._interp.column + self._tokenStartLine = self._interp.line + self._text = None + continueOuter = False + while True: + self._type = Token.INVALID_TYPE + ttype = self.SKIP + try: + ttype = self._interp.match(self._input, self._mode) + except LexerNoViableAltException as e: + self.notifyListeners(e) # report error + self.recover(e) + if self._input.LA(1)==Token.EOF: + self._hitEOF = True + if self._type == Token.INVALID_TYPE: + self._type = ttype + if self._type == self.SKIP: + continueOuter = True + break + if self._type!=self.MORE: + break + if continueOuter: + continue + if self._token is None: + self.emit() + return self._token + finally: + # make sure we release marker after match or + # unbuffered char stream will keep buffering + self._input.release(tokenStartMarker) + + # Instruct the lexer to skip creating a token for current lexer rule + # and look for another token. nextToken() knows to keep looking when + # a lexer rule finishes with token set to SKIP_TOKEN. Recall that + # if token==null at end of any token rule, it creates one for you + # and emits it. + #/ + def skip(self): + self._type = self.SKIP + + def more(self): + self._type = self.MORE + + def mode(self, m:int): + self._mode = m + + def pushMode(self, m:int): + if self._interp.debug: + print("pushMode " + str(m), file=self._output) + self._modeStack.append(self._mode) + self.mode(m) + + def popMode(self): + if len(self._modeStack)==0: + raise Exception("Empty Stack") + if self._interp.debug: + print("popMode back to "+ self._modeStack[:-1], file=self._output) + self.mode( self._modeStack.pop() ) + return self._mode + + # Set the char stream and reset the lexer#/ + @property + def inputStream(self): + return self._input + + @inputStream.setter + def inputStream(self, input:InputStream): + self._input = None + self._tokenFactorySourcePair = (self, self._input) + self.reset() + self._input = input + self._tokenFactorySourcePair = (self, self._input) + + @property + def sourceName(self): + return self._input.sourceName + + # By default does not support multiple emits per nextToken invocation + # for efficiency reasons. Subclass and override self method, nextToken, + # and getToken (to push tokens into a list and pull from that list + # rather than a single variable as self implementation does). + #/ + def emitToken(self, token:Token): + self._token = token + + # The standard method called to automatically emit a token at the + # outermost lexical rule. The token object should point into the + # char buffer start..stop. If there is a text override in 'text', + # use that to set the token's text. Override self method to emit + # custom Token objects or provide a new factory. + #/ + def emit(self): + t = self._factory.create(self._tokenFactorySourcePair, self._type, self._text, self._channel, self._tokenStartCharIndex, + self.getCharIndex()-1, self._tokenStartLine, self._tokenStartColumn) + self.emitToken(t) + return t + + def emitEOF(self): + cpos = self.column + lpos = self.line + eof = self._factory.create(self._tokenFactorySourcePair, Token.EOF, None, Token.DEFAULT_CHANNEL, self._input.index, + self._input.index-1, lpos, cpos) + self.emitToken(eof) + return eof + + @property + def type(self): + return self._type + + @type.setter + def type(self, type:int): + self._type = type + + @property + def line(self): + return self._interp.line + + @line.setter + def line(self, line:int): + self._interp.line = line + + @property + def column(self): + return self._interp.column + + @column.setter + def column(self, column:int): + self._interp.column = column + + # What is the index of the current character of lookahead?#/ + def getCharIndex(self): + return self._input.index + + # Return the text matched so far for the current token or any + # text override. + @property + def text(self): + if self._text is not None: + return self._text + else: + return self._interp.getText(self._input) + + # Set the complete text of self token; it wipes any previous + # changes to the text. + @text.setter + def text(self, txt:str): + self._text = txt + + # Return a list of all Token objects in input char stream. + # Forces load of all tokens. Does not include EOF token. + #/ + def getAllTokens(self): + tokens = [] + t = self.nextToken() + while t.type!=Token.EOF: + tokens.append(t) + t = self.nextToken() + return tokens + + def notifyListeners(self, e:LexerNoViableAltException): + start = self._tokenStartCharIndex + stop = self._input.index + text = self._input.getText(start, stop) + msg = "token recognition error at: '" + self.getErrorDisplay(text) + "'" + listener = self.getErrorListenerDispatch() + listener.syntaxError(self, None, self._tokenStartLine, self._tokenStartColumn, msg, e) + + def getErrorDisplay(self, s:str): + with StringIO() as buf: + for c in s: + buf.write(self.getErrorDisplayForChar(c)) + return buf.getvalue() + + def getErrorDisplayForChar(self, c:str): + if ord(c[0])==Token.EOF: + return "" + elif c=='\n': + return "\\n" + elif c=='\t': + return "\\t" + elif c=='\r': + return "\\r" + else: + return c + + def getCharErrorDisplay(self, c:str): + return "'" + self.getErrorDisplayForChar(c) + "'" + + # Lexers can normally match any char in it's vocabulary after matching + # a token, so do the easy thing and just kill a character and hope + # it all works out. You can instead use the rule invocation stack + # to do sophisticated error recovery if you are in a fragment rule. + #/ + def recover(self, re:RecognitionException): + if self._input.LA(1) != Token.EOF: + if isinstance(re, LexerNoViableAltException): + # skip a char and try again + self._interp.consume(self._input) + else: + # TODO: Do we lose character or line position information? + self._input.consume() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/ListTokenSource.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/ListTokenSource.py new file mode 100644 index 0000000000000000000000000000000000000000..40bcaf94a243e7bd7d2c9b9bfa7f522706a46788 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/ListTokenSource.py @@ -0,0 +1,144 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# +# Provides an implementation of {@link TokenSource} as a wrapper around a list +# of {@link Token} objects. +# +#

        If the final token in the list is an {@link Token#EOF} token, it will be used +# as the EOF token for every call to {@link #nextToken} after the end of the +# list is reached. Otherwise, an EOF token will be created.

        +# +from antlr4.CommonTokenFactory import CommonTokenFactory +from antlr4.Lexer import TokenSource +from antlr4.Token import Token + + +class ListTokenSource(TokenSource): + __slots__ = ('tokens', 'sourceName', 'pos', 'eofToken', '_factory') + + # Constructs a new {@link ListTokenSource} instance from the specified + # collection of {@link Token} objects and source name. + # + # @param tokens The collection of {@link Token} objects to provide as a + # {@link TokenSource}. + # @param sourceName The name of the {@link TokenSource}. If this value is + # {@code null}, {@link #getSourceName} will attempt to infer the name from + # the next {@link Token} (or the previous token if the end of the input has + # been reached). + # + # @exception NullPointerException if {@code tokens} is {@code null} + # + def __init__(self, tokens:list, sourceName:str=None): + if tokens is None: + raise ReferenceError("tokens cannot be null") + self.tokens = tokens + self.sourceName = sourceName + # The index into {@link #tokens} of token to return by the next call to + # {@link #nextToken}. The end of the input is indicated by this value + # being greater than or equal to the number of items in {@link #tokens}. + self.pos = 0 + # This field caches the EOF token for the token source. + self.eofToken = None + # This is the backing field for {@link #getTokenFactory} and + self._factory = CommonTokenFactory.DEFAULT + + + # + # {@inheritDoc} + # + @property + def column(self): + if self.pos < len(self.tokens): + return self.tokens[self.pos].column + elif self.eofToken is not None: + return self.eofToken.column + elif len(self.tokens) > 0: + # have to calculate the result from the line/column of the previous + # token, along with the text of the token. + lastToken = self.tokens[len(self.tokens) - 1] + tokenText = lastToken.text + if tokenText is not None: + lastNewLine = tokenText.rfind('\n') + if lastNewLine >= 0: + return len(tokenText) - lastNewLine - 1 + return lastToken.column + lastToken.stop - lastToken.start + 1 + + # only reach this if tokens is empty, meaning EOF occurs at the first + # position in the input + return 0 + + # + # {@inheritDoc} + # + def nextToken(self): + if self.pos >= len(self.tokens): + if self.eofToken is None: + start = -1 + if len(self.tokens) > 0: + previousStop = self.tokens[len(self.tokens) - 1].stop + if previousStop != -1: + start = previousStop + 1 + stop = max(-1, start - 1) + self.eofToken = self._factory.create((self, self.getInputStream()), + Token.EOF, "EOF", Token.DEFAULT_CHANNEL, start, stop, self.line, self.column) + return self.eofToken + t = self.tokens[self.pos] + if self.pos == len(self.tokens) - 1 and t.type == Token.EOF: + self.eofToken = t + self.pos += 1 + return t + + # + # {@inheritDoc} + # + @property + def line(self): + if self.pos < len(self.tokens): + return self.tokens[self.pos].line + elif self.eofToken is not None: + return self.eofToken.line + elif len(self.tokens) > 0: + # have to calculate the result from the line/column of the previous + # token, along with the text of the token. + lastToken = self.tokens[len(self.tokens) - 1] + line = lastToken.line + tokenText = lastToken.text + if tokenText is not None: + line += tokenText.count('\n') + + # if no text is available, assume the token did not contain any newline characters. + return line + + # only reach this if tokens is empty, meaning EOF occurs at the first + # position in the input + return 1 + + # + # {@inheritDoc} + # + def getInputStream(self): + if self.pos < len(self.tokens): + return self.tokens[self.pos].getInputStream() + elif self.eofToken is not None: + return self.eofToken.getInputStream() + elif len(self.tokens) > 0: + return self.tokens[len(self.tokens) - 1].getInputStream() + else: + # no input stream information is available + return None + + # + # {@inheritDoc} + # + def getSourceName(self): + if self.sourceName is not None: + return self.sourceName + inputStream = self.getInputStream() + if inputStream is not None: + return inputStream.getSourceName() + else: + return "List" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Parser.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Parser.py new file mode 100644 index 0000000000000000000000000000000000000000..ae7f48cce07bebc77f03a577278b95a45832fda0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Parser.py @@ -0,0 +1,580 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +import sys +if sys.version_info[1] > 5: + from typing import TextIO +else: + from typing.io import TextIO +from antlr4.BufferedTokenStream import TokenStream +from antlr4.CommonTokenFactory import TokenFactory +from antlr4.error.ErrorStrategy import DefaultErrorStrategy +from antlr4.InputStream import InputStream +from antlr4.Recognizer import Recognizer +from antlr4.RuleContext import RuleContext +from antlr4.ParserRuleContext import ParserRuleContext +from antlr4.Token import Token +from antlr4.Lexer import Lexer +from antlr4.atn.ATNDeserializer import ATNDeserializer +from antlr4.atn.ATNDeserializationOptions import ATNDeserializationOptions +from antlr4.error.Errors import UnsupportedOperationException, RecognitionException +from antlr4.tree.ParseTreePatternMatcher import ParseTreePatternMatcher +from antlr4.tree.Tree import ParseTreeListener, TerminalNode, ErrorNode + +class TraceListener(ParseTreeListener): + __slots__ = '_parser' + + def __init__(self, parser): + self._parser = parser + + def enterEveryRule(self, ctx): + print("enter " + self._parser.ruleNames[ctx.getRuleIndex()] + ", LT(1)=" + self._parser._input.LT(1).text, file=self._parser._output) + + def visitTerminal(self, node): + + print("consume " + str(node.symbol) + " rule " + self._parser.ruleNames[self._parser._ctx.getRuleIndex()], file=self._parser._output) + + def visitErrorNode(self, node): + pass + + + def exitEveryRule(self, ctx): + print("exit " + self._parser.ruleNames[ctx.getRuleIndex()] + ", LT(1)=" + self._parser._input.LT(1).text, file=self._parser._output) + + +# self is all the parsing support code essentially; most of it is error recovery stuff.# +class Parser (Recognizer): + __slots__ = ( + '_input', '_output', '_errHandler', '_precedenceStack', '_ctx', + 'buildParseTrees', '_tracer', '_parseListeners', '_syntaxErrors' + + ) + # self field maps from the serialized ATN string to the deserialized {@link ATN} with + # bypass alternatives. + # + # @see ATNDeserializationOptions#isGenerateRuleBypassTransitions() + # + bypassAltsAtnCache = dict() + + def __init__(self, input:TokenStream, output:TextIO = sys.stdout): + super().__init__() + # The input stream. + self._input = None + self._output = output + # The error handling strategy for the parser. The default value is a new + # instance of {@link DefaultErrorStrategy}. + self._errHandler = DefaultErrorStrategy() + self._precedenceStack = list() + self._precedenceStack.append(0) + # The {@link ParserRuleContext} object for the currently executing rule. + # self is always non-null during the parsing process. + self._ctx = None + # Specifies whether or not the parser should construct a parse tree during + # the parsing process. The default value is {@code true}. + self.buildParseTrees = True + # When {@link #setTrace}{@code (true)} is called, a reference to the + # {@link TraceListener} is stored here so it can be easily removed in a + # later call to {@link #setTrace}{@code (false)}. The listener itself is + # implemented as a parser listener so self field is not directly used by + # other parser methods. + self._tracer = None + # The list of {@link ParseTreeListener} listeners registered to receive + # events during the parse. + self._parseListeners = None + # The number of syntax errors reported during parsing. self value is + # incremented each time {@link #notifyErrorListeners} is called. + self._syntaxErrors = 0 + self.setInputStream(input) + + # reset the parser's state# + def reset(self): + if self._input is not None: + self._input.seek(0) + self._errHandler.reset(self) + self._ctx = None + self._syntaxErrors = 0 + self.setTrace(False) + self._precedenceStack = list() + self._precedenceStack.append(0) + if self._interp is not None: + self._interp.reset() + + # Match current input symbol against {@code ttype}. If the symbol type + # matches, {@link ANTLRErrorStrategy#reportMatch} and {@link #consume} are + # called to complete the match process. + # + #

        If the symbol type does not match, + # {@link ANTLRErrorStrategy#recoverInline} is called on the current error + # strategy to attempt recovery. If {@link #getBuildParseTree} is + # {@code true} and the token index of the symbol returned by + # {@link ANTLRErrorStrategy#recoverInline} is -1, the symbol is added to + # the parse tree by calling {@link ParserRuleContext#addErrorNode}.

        + # + # @param ttype the token type to match + # @return the matched symbol + # @throws RecognitionException if the current input symbol did not match + # {@code ttype} and the error strategy could not recover from the + # mismatched symbol + + def match(self, ttype:int): + t = self.getCurrentToken() + if t.type==ttype: + self._errHandler.reportMatch(self) + self.consume() + else: + t = self._errHandler.recoverInline(self) + if self.buildParseTrees and t.tokenIndex==-1: + # we must have conjured up a new token during single token insertion + # if it's not the current symbol + self._ctx.addErrorNode(t) + return t + + # Match current input symbol as a wildcard. If the symbol type matches + # (i.e. has a value greater than 0), {@link ANTLRErrorStrategy#reportMatch} + # and {@link #consume} are called to complete the match process. + # + #

        If the symbol type does not match, + # {@link ANTLRErrorStrategy#recoverInline} is called on the current error + # strategy to attempt recovery. If {@link #getBuildParseTree} is + # {@code true} and the token index of the symbol returned by + # {@link ANTLRErrorStrategy#recoverInline} is -1, the symbol is added to + # the parse tree by calling {@link ParserRuleContext#addErrorNode}.

        + # + # @return the matched symbol + # @throws RecognitionException if the current input symbol did not match + # a wildcard and the error strategy could not recover from the mismatched + # symbol + + def matchWildcard(self): + t = self.getCurrentToken() + if t.type > 0: + self._errHandler.reportMatch(self) + self.consume() + else: + t = self._errHandler.recoverInline(self) + if self.buildParseTrees and t.tokenIndex == -1: + # we must have conjured up a new token during single token insertion + # if it's not the current symbol + self._ctx.addErrorNode(t) + + return t + + def getParseListeners(self): + return list() if self._parseListeners is None else self._parseListeners + + # Registers {@code listener} to receive events during the parsing process. + # + #

        To support output-preserving grammar transformations (including but not + # limited to left-recursion removal, automated left-factoring, and + # optimized code generation), calls to listener methods during the parse + # may differ substantially from calls made by + # {@link ParseTreeWalker#DEFAULT} used after the parse is complete. In + # particular, rule entry and exit events may occur in a different order + # during the parse than after the parser. In addition, calls to certain + # rule entry methods may be omitted.

        + # + #

        With the following specific exceptions, calls to listener events are + # deterministic, i.e. for identical input the calls to listener + # methods will be the same.

        + # + #
          + #
        • Alterations to the grammar used to generate code may change the + # behavior of the listener calls.
          • + #
        • Alterations to the command line options passed to ANTLR 4 when + # generating the parser may change the behavior of the listener calls.
          • + #
        • Changing the version of the ANTLR Tool used to generate the parser + # may change the behavior of the listener calls.
          • + #
        + # + # @param listener the listener to add + # + # @throws NullPointerException if {@code} listener is {@code null} + # + def addParseListener(self, listener:ParseTreeListener): + if listener is None: + raise ReferenceError("listener") + if self._parseListeners is None: + self._parseListeners = [] + self._parseListeners.append(listener) + + # + # Remove {@code listener} from the list of parse listeners. + # + #

        If {@code listener} is {@code null} or has not been added as a parse + # listener, self method does nothing.

        + # @param listener the listener to remove + # + def removeParseListener(self, listener:ParseTreeListener): + if self._parseListeners is not None: + self._parseListeners.remove(listener) + if len(self._parseListeners)==0: + self._parseListeners = None + + # Remove all parse listeners. + def removeParseListeners(self): + self._parseListeners = None + + # Notify any parse listeners of an enter rule event. + def triggerEnterRuleEvent(self): + if self._parseListeners is not None: + for listener in self._parseListeners: + listener.enterEveryRule(self._ctx) + self._ctx.enterRule(listener) + + # + # Notify any parse listeners of an exit rule event. + # + # @see #addParseListener + # + def triggerExitRuleEvent(self): + if self._parseListeners is not None: + # reverse order walk of listeners + for listener in reversed(self._parseListeners): + self._ctx.exitRule(listener) + listener.exitEveryRule(self._ctx) + + + # Gets the number of syntax errors reported during parsing. This value is + # incremented each time {@link #notifyErrorListeners} is called. + # + # @see #notifyErrorListeners + # + def getNumberOfSyntaxErrors(self): + return self._syntaxErrors + + def getTokenFactory(self): + return self._input.tokenSource._factory + + # Tell our token source and error strategy about a new way to create tokens.# + def setTokenFactory(self, factory:TokenFactory): + self._input.tokenSource._factory = factory + + # The ATN with bypass alternatives is expensive to create so we create it + # lazily. + # + # @throws UnsupportedOperationException if the current parser does not + # implement the {@link #getSerializedATN()} method. + # + def getATNWithBypassAlts(self): + serializedAtn = self.getSerializedATN() + if serializedAtn is None: + raise UnsupportedOperationException("The current parser does not support an ATN with bypass alternatives.") + result = self.bypassAltsAtnCache.get(serializedAtn, None) + if result is None: + deserializationOptions = ATNDeserializationOptions() + deserializationOptions.generateRuleBypassTransitions = True + result = ATNDeserializer(deserializationOptions).deserialize(serializedAtn) + self.bypassAltsAtnCache[serializedAtn] = result + return result + + # The preferred method of getting a tree pattern. For example, here's a + # sample use: + # + # 
        +    # ParseTree t = parser.expr();
+    # ParseTreePattern p = parser.compileParseTreePattern("<ID>+0", MyParser.RULE_expr);
+    # ParseTreeMatch m = p.match(t);
+    # String id = m.get("ID");
+    #
        + # + def compileParseTreePattern(self, pattern:str, patternRuleIndex:int, lexer:Lexer = None): + if lexer is None: + if self.getTokenStream() is not None: + tokenSource = self.getTokenStream().tokenSource + if isinstance( tokenSource, Lexer ): + lexer = tokenSource + if lexer is None: + raise UnsupportedOperationException("Parser can't discover a lexer to use") + + m = ParseTreePatternMatcher(lexer, self) + return m.compile(pattern, patternRuleIndex) + + + def getInputStream(self): + return self.getTokenStream() + + def setInputStream(self, input:InputStream): + self.setTokenStream(input) + + def getTokenStream(self): + return self._input + + # Set the token stream and reset the parser.# + def setTokenStream(self, input:TokenStream): + self._input = None + self.reset() + self._input = input + + # Match needs to return the current input symbol, which gets put + # into the label for the associated token ref; e.g., x=ID. + # + def getCurrentToken(self): + return self._input.LT(1) + + def notifyErrorListeners(self, msg:str, offendingToken:Token = None, e:RecognitionException = None): + if offendingToken is None: + offendingToken = self.getCurrentToken() + self._syntaxErrors += 1 + line = offendingToken.line + column = offendingToken.column + listener = self.getErrorListenerDispatch() + listener.syntaxError(self, offendingToken, line, column, msg, e) + + # + # Consume and return the {@linkplain #getCurrentToken current symbol}. + # + #

        E.g., given the following input with {@code A} being the current + # lookahead symbol, self function moves the cursor to {@code B} and returns + # {@code A}.

        + # + # 
        +    #  A B
+    #  ^
+    #
        + # + # If the parser is not in error recovery mode, the consumed symbol is added + # to the parse tree using {@link ParserRuleContext#addChild(Token)}, and + # {@link ParseTreeListener#visitTerminal} is called on any parse listeners. + # If the parser is in error recovery mode, the consumed symbol is + # added to the parse tree using + # {@link ParserRuleContext#addErrorNode(Token)}, and + # {@link ParseTreeListener#visitErrorNode} is called on any parse + # listeners. + # + def consume(self): + o = self.getCurrentToken() + if o.type != Token.EOF: + self.getInputStream().consume() + hasListener = self._parseListeners is not None and len(self._parseListeners)>0 + if self.buildParseTrees or hasListener: + if self._errHandler.inErrorRecoveryMode(self): + node = self._ctx.addErrorNode(o) + else: + node = self._ctx.addTokenNode(o) + if hasListener: + for listener in self._parseListeners: + if isinstance(node, ErrorNode): + listener.visitErrorNode(node) + elif isinstance(node, TerminalNode): + listener.visitTerminal(node) + return o + + def addContextToParseTree(self): + # add current context to parent if we have a parent + if self._ctx.parentCtx is not None: + self._ctx.parentCtx.addChild(self._ctx) + + # Always called by generated parsers upon entry to a rule. Access field + # {@link #_ctx} get the current context. + # + def enterRule(self, localctx:ParserRuleContext , state:int , ruleIndex:int): + self.state = state + self._ctx = localctx + self._ctx.start = self._input.LT(1) + if self.buildParseTrees: + self.addContextToParseTree() + if self._parseListeners is not None: + self.triggerEnterRuleEvent() + + def exitRule(self): + self._ctx.stop = self._input.LT(-1) + # trigger event on _ctx, before it reverts to parent + if self._parseListeners is not None: + self.triggerExitRuleEvent() + self.state = self._ctx.invokingState + self._ctx = self._ctx.parentCtx + + def enterOuterAlt(self, localctx:ParserRuleContext, altNum:int): + localctx.setAltNumber(altNum) + # if we have new localctx, make sure we replace existing ctx + # that is previous child of parse tree + if self.buildParseTrees and self._ctx != localctx: + if self._ctx.parentCtx is not None: + self._ctx.parentCtx.removeLastChild() + self._ctx.parentCtx.addChild(localctx) + self._ctx = localctx + + # Get the precedence level for the top-most precedence rule. + # + # @return The precedence level for the top-most precedence rule, or -1 if + # the parser context is not nested within a precedence rule. + # + def getPrecedence(self): + if len(self._precedenceStack)==0: + return -1 + else: + return self._precedenceStack[-1] + + def enterRecursionRule(self, localctx:ParserRuleContext, state:int, ruleIndex:int, precedence:int): + self.state = state + self._precedenceStack.append(precedence) + self._ctx = localctx + self._ctx.start = self._input.LT(1) + if self._parseListeners is not None: + self.triggerEnterRuleEvent() # simulates rule entry for left-recursive rules + + # + # Like {@link #enterRule} but for recursive rules. + # + def pushNewRecursionContext(self, localctx:ParserRuleContext, state:int, ruleIndex:int): + previous = self._ctx + previous.parentCtx = localctx + previous.invokingState = state + previous.stop = self._input.LT(-1) + + self._ctx = localctx + self._ctx.start = previous.start + if self.buildParseTrees: + self._ctx.addChild(previous) + + if self._parseListeners is not None: + self.triggerEnterRuleEvent() # simulates rule entry for left-recursive rules + + def unrollRecursionContexts(self, parentCtx:ParserRuleContext): + self._precedenceStack.pop() + self._ctx.stop = self._input.LT(-1) + retCtx = self._ctx # save current ctx (return value) + # unroll so _ctx is as it was before call to recursive method + if self._parseListeners is not None: + while self._ctx is not parentCtx: + self.triggerExitRuleEvent() + self._ctx = self._ctx.parentCtx + else: + self._ctx = parentCtx + + # hook into tree + retCtx.parentCtx = parentCtx + + if self.buildParseTrees and parentCtx is not None: + # add return ctx into invoking rule's tree + parentCtx.addChild(retCtx) + + def getInvokingContext(self, ruleIndex:int): + ctx = self._ctx + while ctx is not None: + if ctx.getRuleIndex() == ruleIndex: + return ctx + ctx = ctx.parentCtx + return None + + + def precpred(self, localctx:RuleContext , precedence:int): + return precedence >= self._precedenceStack[-1] + + def inContext(self, context:str): + # TODO: useful in parser? + return False + + # + # Checks whether or not {@code symbol} can follow the current state in the + # ATN. The behavior of self method is equivalent to the following, but is + # implemented such that the complete context-sensitive follow set does not + # need to be explicitly constructed. + # + # 
        +    # return getExpectedTokens().contains(symbol);
+    #
        + # + # @param symbol the symbol type to check + # @return {@code true} if {@code symbol} can follow the current state in + # the ATN, otherwise {@code false}. + # + def isExpectedToken(self, symbol:int): + atn = self._interp.atn + ctx = self._ctx + s = atn.states[self.state] + following = atn.nextTokens(s) + if symbol in following: + return True + if not Token.EPSILON in following: + return False + + while ctx is not None and ctx.invokingState>=0 and Token.EPSILON in following: + invokingState = atn.states[ctx.invokingState] + rt = invokingState.transitions[0] + following = atn.nextTokens(rt.followState) + if symbol in following: + return True + ctx = ctx.parentCtx + + if Token.EPSILON in following and symbol == Token.EOF: + return True + else: + return False + + # Computes the set of input symbols which could follow the current parser + # state and context, as given by {@link #getState} and {@link #getContext}, + # respectively. + # + # @see ATN#getExpectedTokens(int, RuleContext) + # + def getExpectedTokens(self): + return self._interp.atn.getExpectedTokens(self.state, self._ctx) + + def getExpectedTokensWithinCurrentRule(self): + atn = self._interp.atn + s = atn.states[self.state] + return atn.nextTokens(s) + + # Get a rule's index (i.e., {@code RULE_ruleName} field) or -1 if not found.# + def getRuleIndex(self, ruleName:str): + ruleIndex = self.getRuleIndexMap().get(ruleName, None) + if ruleIndex is not None: + return ruleIndex + else: + return -1 + + # Return List<String> of the rule names in your parser instance + # leading up to a call to the current rule. You could override if + # you want more details such as the file/line info of where + # in the ATN a rule is invoked. + # + # this is very useful for error messages. + # + def getRuleInvocationStack(self, p:RuleContext=None): + if p is None: + p = self._ctx + stack = list() + while p is not None: + # compute what follows who invoked us + ruleIndex = p.getRuleIndex() + if ruleIndex<0: + stack.append("n/a") + else: + stack.append(self.ruleNames[ruleIndex]) + p = p.parentCtx + return stack + + # For debugging and other purposes.# + def getDFAStrings(self): + return [ str(dfa) for dfa in self._interp.decisionToDFA] + + # For debugging and other purposes.# + def dumpDFA(self): + seenOne = False + for i in range(0, len(self._interp.decisionToDFA)): + dfa = self._interp.decisionToDFA[i] + if len(dfa.states)>0: + if seenOne: + print(file=self._output) + print("Decision " + str(dfa.decision) + ":", file=self._output) + print(dfa.toString(self.literalNames, self.symbolicNames), end='', file=self._output) + seenOne = True + + + def getSourceName(self): + return self._input.sourceName + + # During a parse is sometimes useful to listen in on the rule entry and exit + # events as well as token matches. self is for quick and dirty debugging. + # + def setTrace(self, trace:bool): + if not trace: + self.removeParseListener(self._tracer) + self._tracer = None + else: + if self._tracer is not None: + self.removeParseListener(self._tracer) + self._tracer = TraceListener(self) + self.addParseListener(self._tracer) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/ParserInterpreter.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/ParserInterpreter.py new file mode 100644 index 0000000000000000000000000000000000000000..4de43623cf7d308e841c9484470a93fec510d616 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/ParserInterpreter.py @@ -0,0 +1,170 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# A parser simulator that mimics what ANTLR's generated +# parser code does. A ParserATNSimulator is used to make +# predictions via adaptivePredict but this class moves a pointer through the +# ATN to simulate parsing. ParserATNSimulator just +# makes us efficient rather than having to backtrack, for example. +# +# This properly creates parse trees even for left recursive rules. +# +# We rely on the left recursive rule invocation and special predicate +# transitions to make left recursive rules work. +# +# See TestParserInterpreter for examples. +# +from antlr4.dfa.DFA import DFA +from antlr4.BufferedTokenStream import TokenStream +from antlr4.Lexer import Lexer +from antlr4.Parser import Parser +from antlr4.ParserRuleContext import InterpreterRuleContext, ParserRuleContext +from antlr4.Token import Token +from antlr4.atn.ATN import ATN +from antlr4.atn.ATNState import StarLoopEntryState, ATNState, LoopEndState +from antlr4.atn.ParserATNSimulator import ParserATNSimulator +from antlr4.PredictionContext import PredictionContextCache +from antlr4.atn.Transition import Transition +from antlr4.error.Errors import RecognitionException, UnsupportedOperationException, FailedPredicateException + + +class ParserInterpreter(Parser): + __slots__ = ( + 'grammarFileName', 'atn', 'tokenNames', 'ruleNames', 'decisionToDFA', + 'sharedContextCache', '_parentContextStack', + 'pushRecursionContextStates' + ) + + def __init__(self, grammarFileName:str, tokenNames:list, ruleNames:list, atn:ATN, input:TokenStream): + super().__init__(input) + self.grammarFileName = grammarFileName + self.atn = atn + self.tokenNames = tokenNames + self.ruleNames = ruleNames + self.decisionToDFA = [ DFA(state) for state in atn.decisionToState ] + self.sharedContextCache = PredictionContextCache() + self._parentContextStack = list() + # identify the ATN states where pushNewRecursionContext must be called + self.pushRecursionContextStates = set() + for state in atn.states: + if not isinstance(state, StarLoopEntryState): + continue + if state.isPrecedenceDecision: + self.pushRecursionContextStates.add(state.stateNumber) + # get atn simulator that knows how to do predictions + self._interp = ParserATNSimulator(self, atn, self.decisionToDFA, self.sharedContextCache) + + # Begin parsing at startRuleIndex# + def parse(self, startRuleIndex:int): + startRuleStartState = self.atn.ruleToStartState[startRuleIndex] + rootContext = InterpreterRuleContext(None, ATNState.INVALID_STATE_NUMBER, startRuleIndex) + if startRuleStartState.isPrecedenceRule: + self.enterRecursionRule(rootContext, startRuleStartState.stateNumber, startRuleIndex, 0) + else: + self.enterRule(rootContext, startRuleStartState.stateNumber, startRuleIndex) + while True: + p = self.getATNState() + if p.stateType==ATNState.RULE_STOP : + # pop; return from rule + if len(self._ctx)==0: + if startRuleStartState.isPrecedenceRule: + result = self._ctx + parentContext = self._parentContextStack.pop() + self.unrollRecursionContexts(parentContext.a) + return result + else: + self.exitRule() + return rootContext + self.visitRuleStopState(p) + + else: + try: + self.visitState(p) + except RecognitionException as e: + self.state = self.atn.ruleToStopState[p.ruleIndex].stateNumber + self._ctx.exception = e + self._errHandler.reportError(self, e) + self._errHandler.recover(self, e) + + def enterRecursionRule(self, localctx:ParserRuleContext, state:int, ruleIndex:int, precedence:int): + self._parentContextStack.append((self._ctx, localctx.invokingState)) + super().enterRecursionRule(localctx, state, ruleIndex, precedence) + + def getATNState(self): + return self.atn.states[self.state] + + def visitState(self, p:ATNState): + edge = 0 + if len(p.transitions) > 1: + self._errHandler.sync(self) + edge = self._interp.adaptivePredict(self._input, p.decision, self._ctx) + else: + edge = 1 + + transition = p.transitions[edge - 1] + tt = transition.serializationType + if tt==Transition.EPSILON: + + if self.pushRecursionContextStates[p.stateNumber] and not isinstance(transition.target, LoopEndState): + t = self._parentContextStack[-1] + ctx = InterpreterRuleContext(t[0], t[1], self._ctx.ruleIndex) + self.pushNewRecursionContext(ctx, self.atn.ruleToStartState[p.ruleIndex].stateNumber, self._ctx.ruleIndex) + + elif tt==Transition.ATOM: + + self.match(transition.label) + + elif tt in [ Transition.RANGE, Transition.SET, Transition.NOT_SET]: + + if not transition.matches(self._input.LA(1), Token.MIN_USER_TOKEN_TYPE, Lexer.MAX_CHAR_VALUE): + self._errHandler.recoverInline(self) + self.matchWildcard() + + elif tt==Transition.WILDCARD: + + self.matchWildcard() + + elif tt==Transition.RULE: + + ruleStartState = transition.target + ruleIndex = ruleStartState.ruleIndex + ctx = InterpreterRuleContext(self._ctx, p.stateNumber, ruleIndex) + if ruleStartState.isPrecedenceRule: + self.enterRecursionRule(ctx, ruleStartState.stateNumber, ruleIndex, transition.precedence) + else: + self.enterRule(ctx, transition.target.stateNumber, ruleIndex) + + elif tt==Transition.PREDICATE: + + if not self.sempred(self._ctx, transition.ruleIndex, transition.predIndex): + raise FailedPredicateException(self) + + elif tt==Transition.ACTION: + + self.action(self._ctx, transition.ruleIndex, transition.actionIndex) + + elif tt==Transition.PRECEDENCE: + + if not self.precpred(self._ctx, transition.precedence): + msg = "precpred(_ctx, " + str(transition.precedence) + ")" + raise FailedPredicateException(self, msg) + + else: + raise UnsupportedOperationException("Unrecognized ATN transition type.") + + self.state = transition.target.stateNumber + + def visitRuleStopState(self, p:ATNState): + ruleStartState = self.atn.ruleToStartState[p.ruleIndex] + if ruleStartState.isPrecedenceRule: + parentContext = self._parentContextStack.pop() + self.unrollRecursionContexts(parentContext.a) + self.state = parentContext[1] + else: + self.exitRule() + + ruleTransition = self.atn.states[self.state].transitions[0] + self.state = ruleTransition.followState.stateNumber diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/ParserRuleContext.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/ParserRuleContext.py new file mode 100644 index 0000000000000000000000000000000000000000..f945c5ba94ac394ff7714e4d4e43a86aa31924df --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/ParserRuleContext.py @@ -0,0 +1,186 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. + +#* A rule invocation record for parsing. +# +# Contains all of the information about the current rule not stored in the +# RuleContext. It handles parse tree children list, Any ATN state +# tracing, and the default values available for rule indications: +# start, stop, rule index, current alt number, current +# ATN state. +# +# Subclasses made for each rule and grammar track the parameters, +# return values, locals, and labels specific to that rule. These +# are the objects that are returned from rules. +# +# Note text is not an actual field of a rule return value; it is computed +# from start and stop using the input stream's toString() method. I +# could add a ctor to this so that we can pass in and store the input +# stream, but I'm not sure we want to do that. It would seem to be undefined +# to get the .text property anyway if the rule matches tokens from multiple +# input streams. +# +# I do not use getters for fields of objects that are used simply to +# group values such as this aggregate. The getters/setters are there to +# satisfy the superclass interface. + +from antlr4.RuleContext import RuleContext +from antlr4.Token import Token +from antlr4.tree.Tree import ParseTreeListener, ParseTree, TerminalNodeImpl, ErrorNodeImpl, TerminalNode, \ + INVALID_INTERVAL + +# need forward declaration +ParserRuleContext = None + +class ParserRuleContext(RuleContext): + __slots__ = ('children', 'start', 'stop', 'exception') + def __init__(self, parent:ParserRuleContext = None, invokingStateNumber:int = None ): + super().__init__(parent, invokingStateNumber) + #* If we are debugging or building a parse tree for a visitor, + # we need to track all of the tokens and rule invocations associated + # with this rule's context. This is empty for parsing w/o tree constr. + # operation because we don't the need to track the details about + # how we parse this rule. + #/ + self.children = None + self.start = None + self.stop = None + # The exception that forced this rule to return. If the rule successfully + # completed, this is {@code null}. + self.exception = None + + #* COPY a ctx (I'm deliberately not using copy constructor)#/ + # + # This is used in the generated parser code to flip a generic XContext + # node for rule X to a YContext for alt label Y. In that sense, it is + # not really a generic copy function. + # + # If we do an error sync() at start of a rule, we might add error nodes + # to the generic XContext so this function must copy those nodes to + # the YContext as well else they are lost! + #/ + def copyFrom(self, ctx:ParserRuleContext): + # from RuleContext + self.parentCtx = ctx.parentCtx + self.invokingState = ctx.invokingState + self.children = None + self.start = ctx.start + self.stop = ctx.stop + + # copy any error nodes to alt label node + if ctx.children is not None: + self.children = [] + # reset parent pointer for any error nodes + for child in ctx.children: + if isinstance(child, ErrorNodeImpl): + self.children.append(child) + child.parentCtx = self + + # Double dispatch methods for listeners + def enterRule(self, listener:ParseTreeListener): + pass + + def exitRule(self, listener:ParseTreeListener): + pass + + #* Does not set parent link; other add methods do that#/ + def addChild(self, child:ParseTree): + if self.children is None: + self.children = [] + self.children.append(child) + return child + + #* Used by enterOuterAlt to toss out a RuleContext previously added as + # we entered a rule. If we have # label, we will need to remove + # generic ruleContext object. + #/ + def removeLastChild(self): + if self.children is not None: + del self.children[len(self.children)-1] + + def addTokenNode(self, token:Token): + node = TerminalNodeImpl(token) + self.addChild(node) + node.parentCtx = self + return node + + def addErrorNode(self, badToken:Token): + node = ErrorNodeImpl(badToken) + self.addChild(node) + node.parentCtx = self + return node + + def getChild(self, i:int, ttype:type = None): + if ttype is None: + return self.children[i] if len(self.children)>i else None + else: + for child in self.getChildren(): + if not isinstance(child, ttype): + continue + if i==0: + return child + i -= 1 + return None + + def getChildren(self, predicate = None): + if self.children is not None: + for child in self.children: + if predicate is not None and not predicate(child): + continue + yield child + + def getToken(self, ttype:int, i:int): + for child in self.getChildren(): + if not isinstance(child, TerminalNode): + continue + if child.symbol.type != ttype: + continue + if i==0: + return child + i -= 1 + return None + + def getTokens(self, ttype:int ): + if self.getChildren() is None: + return [] + tokens = [] + for child in self.getChildren(): + if not isinstance(child, TerminalNode): + continue + if child.symbol.type != ttype: + continue + tokens.append(child) + return tokens + + def getTypedRuleContext(self, ctxType:type, i:int): + return self.getChild(i, ctxType) + + def getTypedRuleContexts(self, ctxType:type): + children = self.getChildren() + if children is None: + return [] + contexts = [] + for child in children: + if not isinstance(child, ctxType): + continue + contexts.append(child) + return contexts + + def getChildCount(self): + return len(self.children) if self.children else 0 + + def getSourceInterval(self): + if self.start is None or self.stop is None: + return INVALID_INTERVAL + else: + return (self.start.tokenIndex, self.stop.tokenIndex) + + +RuleContext.EMPTY = ParserRuleContext() + +class InterpreterRuleContext(ParserRuleContext): + + def __init__(self, parent:ParserRuleContext, invokingStateNumber:int, ruleIndex:int): + super().__init__(parent, invokingStateNumber) + self.ruleIndex = ruleIndex diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/PredictionContext.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/PredictionContext.py new file mode 100644 index 0000000000000000000000000000000000000000..7cbb7e49e1c563d75059ed7b4043f7f75da68132 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/PredictionContext.py @@ -0,0 +1,623 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ +from io import StringIO + +from antlr4.error.Errors import IllegalStateException + +from antlr4.RuleContext import RuleContext +from antlr4.atn.ATN import ATN +from antlr4.atn.ATNState import ATNState + + +class PredictionContext(object): + + # Represents {@code $} in local context prediction, which means wildcard. + # {@code#+x =#}. + #/ + EMPTY = None + + # Represents {@code $} in an array in full context mode, when {@code $} + # doesn't mean wildcard: {@code $ + x = [$,x]}. Here, + # {@code $} = {@link #EMPTY_RETURN_STATE}. + #/ + EMPTY_RETURN_STATE = 0x7FFFFFFF + + globalNodeCount = 1 + id = globalNodeCount + + # Stores the computed hash code of this {@link PredictionContext}. The hash + # code is computed in parts to match the following reference algorithm. + # + # 
        +    #  private int referenceHashCode() {
+    #      int hash = {@link MurmurHash#initialize MurmurHash.initialize}({@link #INITIAL_HASH});
+    #
+    #      for (int i = 0; i < {@link #size()}; i++) {
+    #          hash = {@link MurmurHash#update MurmurHash.update}(hash, {@link #getParent getParent}(i));
+    #      }
+    #
+    #      for (int i = 0; i < {@link #size()}; i++) {
+    #          hash = {@link MurmurHash#update MurmurHash.update}(hash, {@link #getReturnState getReturnState}(i));
+    #      }
+    #
+    #      hash = {@link MurmurHash#finish MurmurHash.finish}(hash, 2# {@link #size()});
+    #      return hash;
+    #  }
+    #
        + #/ + + def __init__(self, cachedHashCode:int): + self.cachedHashCode = cachedHashCode + + def __len__(self): + return 0 + + # This means only the {@link #EMPTY} context is in set. + def isEmpty(self): + return self is self.EMPTY + + def hasEmptyPath(self): + return self.getReturnState(len(self) - 1) == self.EMPTY_RETURN_STATE + + def getReturnState(self, index:int): + raise IllegalStateException("illegal!") + + def __hash__(self): + return self.cachedHashCode + +def calculateHashCode(parent:PredictionContext, returnState:int): + return hash("") if parent is None else hash((hash(parent), returnState)) + +def calculateListsHashCode(parents:[], returnStates:[] ): + h = 0 + for parent, returnState in zip(parents, returnStates): + h = hash((h, calculateHashCode(parent, returnState))) + return h + +# Used to cache {@link PredictionContext} objects. Its used for the shared +# context cash associated with contexts in DFA states. This cache +# can be used for both lexers and parsers. + +class PredictionContextCache(object): + + def __init__(self): + self.cache = dict() + + # Add a context to the cache and return it. If the context already exists, + # return that one instead and do not add a new context to the cache. + # Protect shared cache from unsafe thread access. + # + def add(self, ctx:PredictionContext): + if ctx==PredictionContext.EMPTY: + return PredictionContext.EMPTY + existing = self.cache.get(ctx, None) + if existing is not None: + return existing + self.cache[ctx] = ctx + return ctx + + def get(self, ctx:PredictionContext): + return self.cache.get(ctx, None) + + def __len__(self): + return len(self.cache) + + +class SingletonPredictionContext(PredictionContext): + + @staticmethod + def create(parent:PredictionContext , returnState:int ): + if returnState == PredictionContext.EMPTY_RETURN_STATE and parent is None: + # someone can pass in the bits of an array ctx that mean $ + return SingletonPredictionContext.EMPTY + else: + return SingletonPredictionContext(parent, returnState) + + def __init__(self, parent:PredictionContext, returnState:int): + hashCode = calculateHashCode(parent, returnState) + super().__init__(hashCode) + self.parentCtx = parent + self.returnState = returnState + + def __len__(self): + return 1 + + def getParent(self, index:int): + return self.parentCtx + + def getReturnState(self, index:int): + return self.returnState + + def __eq__(self, other): + if self is other: + return True + elif other is None: + return False + elif not isinstance(other, SingletonPredictionContext): + return False + else: + return self.returnState == other.returnState and self.parentCtx == other.parentCtx + + def __hash__(self): + return self.cachedHashCode + + def __str__(self): + up = "" if self.parentCtx is None else str(self.parentCtx) + if len(up)==0: + if self.returnState == self.EMPTY_RETURN_STATE: + return "$" + else: + return str(self.returnState) + else: + return str(self.returnState) + " " + up + + +class EmptyPredictionContext(SingletonPredictionContext): + + def __init__(self): + super().__init__(None, PredictionContext.EMPTY_RETURN_STATE) + + def isEmpty(self): + return True + + def __eq__(self, other): + return self is other + + def __hash__(self): + return self.cachedHashCode + + def __str__(self): + return "$" + + +PredictionContext.EMPTY = EmptyPredictionContext() + +class ArrayPredictionContext(PredictionContext): + # Parent can be null only if full ctx mode and we make an array + # from {@link #EMPTY} and non-empty. We merge {@link #EMPTY} by using null parent and + # returnState == {@link #EMPTY_RETURN_STATE}. + + def __init__(self, parents:list, returnStates:list): + super().__init__(calculateListsHashCode(parents, returnStates)) + self.parents = parents + self.returnStates = returnStates + + def isEmpty(self): + # since EMPTY_RETURN_STATE can only appear in the last position, we + # don't need to verify that size==1 + return self.returnStates[0]==PredictionContext.EMPTY_RETURN_STATE + + def __len__(self): + return len(self.returnStates) + + def getParent(self, index:int): + return self.parents[index] + + def getReturnState(self, index:int): + return self.returnStates[index] + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, ArrayPredictionContext): + return False + elif hash(self) != hash(other): + return False # can't be same if hash is different + else: + return self.returnStates==other.returnStates and self.parents==other.parents + + def __str__(self): + if self.isEmpty(): + return "[]" + with StringIO() as buf: + buf.write("[") + for i in range(0,len(self.returnStates)): + if i>0: + buf.write(", ") + if self.returnStates[i]==PredictionContext.EMPTY_RETURN_STATE: + buf.write("$") + continue + buf.write(str(self.returnStates[i])) + if self.parents[i] is not None: + buf.write(' ') + buf.write(str(self.parents[i])) + else: + buf.write("null") + buf.write("]") + return buf.getvalue() + + def __hash__(self): + return self.cachedHashCode + + + +# Convert a {@link RuleContext} tree to a {@link PredictionContext} graph. +# Return {@link #EMPTY} if {@code outerContext} is empty or null. +#/ +def PredictionContextFromRuleContext(atn:ATN, outerContext:RuleContext=None): + if outerContext is None: + outerContext = RuleContext.EMPTY + + # if we are in RuleContext of start rule, s, then PredictionContext + # is EMPTY. Nobody called us. (if we are empty, return empty) + if outerContext.parentCtx is None or outerContext is RuleContext.EMPTY: + return PredictionContext.EMPTY + + # If we have a parent, convert it to a PredictionContext graph + parent = PredictionContextFromRuleContext(atn, outerContext.parentCtx) + state = atn.states[outerContext.invokingState] + transition = state.transitions[0] + return SingletonPredictionContext.create(parent, transition.followState.stateNumber) + + +def merge(a:PredictionContext, b:PredictionContext, rootIsWildcard:bool, mergeCache:dict): + + # share same graph if both same + if a==b: + return a + + if isinstance(a, SingletonPredictionContext) and isinstance(b, SingletonPredictionContext): + return mergeSingletons(a, b, rootIsWildcard, mergeCache) + + # At least one of a or b is array + # If one is $ and rootIsWildcard, return $ as# wildcard + if rootIsWildcard: + if isinstance( a, EmptyPredictionContext ): + return a + if isinstance( b, EmptyPredictionContext ): + return b + + # convert singleton so both are arrays to normalize + if isinstance( a, SingletonPredictionContext ): + a = ArrayPredictionContext([a.parentCtx], [a.returnState]) + if isinstance( b, SingletonPredictionContext): + b = ArrayPredictionContext([b.parentCtx], [b.returnState]) + return mergeArrays(a, b, rootIsWildcard, mergeCache) + + +# +# Merge two {@link SingletonPredictionContext} instances. +# +#

        Stack tops equal, parents merge is same; return left graph.
        +#

        +# +#

        Same stack top, parents differ; merge parents giving array node, then +# remainders of those graphs. A new root node is created to point to the +# merged parents.
        +#

        +# +#

        Different stack tops pointing to same parent. Make array node for the +# root where both element in the root point to the same (original) +# parent.
        +#

        +# +#

        Different stack tops pointing to different parents. Make array node for +# the root where each element points to the corresponding original +# parent.
        +#

        +# +# @param a the first {@link SingletonPredictionContext} +# @param b the second {@link SingletonPredictionContext} +# @param rootIsWildcard {@code true} if this is a local-context merge, +# otherwise false to indicate a full-context merge +# @param mergeCache +#/ +def mergeSingletons(a:SingletonPredictionContext, b:SingletonPredictionContext, rootIsWildcard:bool, mergeCache:dict): + if mergeCache is not None: + previous = mergeCache.get((a,b), None) + if previous is not None: + return previous + previous = mergeCache.get((b,a), None) + if previous is not None: + return previous + + merged = mergeRoot(a, b, rootIsWildcard) + if merged is not None: + if mergeCache is not None: + mergeCache[(a, b)] = merged + return merged + + if a.returnState==b.returnState: + parent = merge(a.parentCtx, b.parentCtx, rootIsWildcard, mergeCache) + # if parent is same as existing a or b parent or reduced to a parent, return it + if parent == a.parentCtx: + return a # ax + bx = ax, if a=b + if parent == b.parentCtx: + return b # ax + bx = bx, if a=b + # else: ax + ay = a'[x,y] + # merge parents x and y, giving array node with x,y then remainders + # of those graphs. dup a, a' points at merged array + # new joined parent so create new singleton pointing to it, a' + merged = SingletonPredictionContext.create(parent, a.returnState) + if mergeCache is not None: + mergeCache[(a, b)] = merged + return merged + else: # a != b payloads differ + # see if we can collapse parents due to $+x parents if local ctx + singleParent = None + if a is b or (a.parentCtx is not None and a.parentCtx==b.parentCtx): # ax + bx = [a,b]x + singleParent = a.parentCtx + if singleParent is not None: # parents are same + # sort payloads and use same parent + payloads = [ a.returnState, b.returnState ] + if a.returnState > b.returnState: + payloads = [ b.returnState, a.returnState ] + parents = [singleParent, singleParent] + merged = ArrayPredictionContext(parents, payloads) + if mergeCache is not None: + mergeCache[(a, b)] = merged + return merged + # parents differ and can't merge them. Just pack together + # into array; can't merge. + # ax + by = [ax,by] + payloads = [ a.returnState, b.returnState ] + parents = [ a.parentCtx, b.parentCtx ] + if a.returnState > b.returnState: # sort by payload + payloads = [ b.returnState, a.returnState ] + parents = [ b.parentCtx, a.parentCtx ] + merged = ArrayPredictionContext(parents, payloads) + if mergeCache is not None: + mergeCache[(a, b)] = merged + return merged + + +# +# Handle case where at least one of {@code a} or {@code b} is +# {@link #EMPTY}. In the following diagrams, the symbol {@code $} is used +# to represent {@link #EMPTY}. +# +#

        Local-Context Merges

        +# +#

        These local-context merge operations are used when {@code rootIsWildcard} +# is true.

        +# +#

        {@link #EMPTY} is superset of any graph; return {@link #EMPTY}.
        +#

        +# +#

        {@link #EMPTY} and anything is {@code #EMPTY}, so merged parent is +# {@code #EMPTY}; return left graph.
        +#

        +# +#

        Special case of last merge if local context.
        +#

        +# +#

        Full-Context Merges

        +# +#

        These full-context merge operations are used when {@code rootIsWildcard} +# is false.

        +# +#

        +# +#

        Must keep all contexts; {@link #EMPTY} in array is a special value (and +# null parent).
        +#

        +# +#

        +# +# @param a the first {@link SingletonPredictionContext} +# @param b the second {@link SingletonPredictionContext} +# @param rootIsWildcard {@code true} if this is a local-context merge, +# otherwise false to indicate a full-context merge +#/ +def mergeRoot(a:SingletonPredictionContext, b:SingletonPredictionContext, rootIsWildcard:bool): + if rootIsWildcard: + if a == PredictionContext.EMPTY: + return PredictionContext.EMPTY ## + b =# + if b == PredictionContext.EMPTY: + return PredictionContext.EMPTY # a +# =# + else: + if a == PredictionContext.EMPTY and b == PredictionContext.EMPTY: + return PredictionContext.EMPTY # $ + $ = $ + elif a == PredictionContext.EMPTY: # $ + x = [$,x] + payloads = [ b.returnState, PredictionContext.EMPTY_RETURN_STATE ] + parents = [ b.parentCtx, None ] + return ArrayPredictionContext(parents, payloads) + elif b == PredictionContext.EMPTY: # x + $ = [$,x] ($ is always first if present) + payloads = [ a.returnState, PredictionContext.EMPTY_RETURN_STATE ] + parents = [ a.parentCtx, None ] + return ArrayPredictionContext(parents, payloads) + return None + + +# +# Merge two {@link ArrayPredictionContext} instances. +# +#

        Different tops, different parents.
        +#

        +# +#

        Shared top, same parents.
        +#

        +# +#

        Shared top, different parents.
        +#

        +# +#

        Shared top, all shared parents.
        +#

        +# +#

        Equal tops, merge parents and reduce top to +# {@link SingletonPredictionContext}.
        +#

        +#/ +def mergeArrays(a:ArrayPredictionContext, b:ArrayPredictionContext, rootIsWildcard:bool, mergeCache:dict): + if mergeCache is not None: + previous = mergeCache.get((a,b), None) + if previous is not None: + return previous + previous = mergeCache.get((b,a), None) + if previous is not None: + return previous + + # merge sorted payloads a + b => M + i = 0 # walks a + j = 0 # walks b + k = 0 # walks target M array + + mergedReturnStates = [None] * (len(a.returnStates) + len( b.returnStates)) + mergedParents = [None] * len(mergedReturnStates) + # walk and merge to yield mergedParents, mergedReturnStates + while i ax + if bothDollars or ax_ax: + mergedParents[k] = a_parent # choose left + mergedReturnStates[k] = payload + else: # ax+ay -> a'[x,y] + mergedParent = merge(a_parent, b_parent, rootIsWildcard, mergeCache) + mergedParents[k] = mergedParent + mergedReturnStates[k] = payload + i += 1 # hop over left one as usual + j += 1 # but also skip one in right side since we merge + elif a.returnStates[i] a, copy b[j] to M + mergedParents[k] = b_parent + mergedReturnStates[k] = b.returnStates[j] + j += 1 + k += 1 + + # copy over any payloads remaining in either array + if i < len(a.returnStates): + for p in range(i, len(a.returnStates)): + mergedParents[k] = a.parents[p] + mergedReturnStates[k] = a.returnStates[p] + k += 1 + else: + for p in range(j, len(b.returnStates)): + mergedParents[k] = b.parents[p] + mergedReturnStates[k] = b.returnStates[p] + k += 1 + + # trim merged if we combined a few that had same stack tops + if k < len(mergedParents): # write index < last position; trim + if k == 1: # for just one merged element, return singleton top + merged = SingletonPredictionContext.create(mergedParents[0], mergedReturnStates[0]) + if mergeCache is not None: + mergeCache[(a,b)] = merged + return merged + mergedParents = mergedParents[0:k] + mergedReturnStates = mergedReturnStates[0:k] + + merged = ArrayPredictionContext(mergedParents, mergedReturnStates) + + # if we created same array as a or b, return that instead + # TODO: track whether this is possible above during merge sort for speed + if merged==a: + if mergeCache is not None: + mergeCache[(a,b)] = a + return a + if merged==b: + if mergeCache is not None: + mergeCache[(a,b)] = b + return b + combineCommonParents(mergedParents) + + if mergeCache is not None: + mergeCache[(a,b)] = merged + return merged + + +# +# Make pass over all M {@code parents}; merge any {@code equals()} +# ones. +#/ +def combineCommonParents(parents:list): + uniqueParents = dict() + + for p in range(0, len(parents)): + parent = parents[p] + if uniqueParents.get(parent, None) is None: + uniqueParents[parent] = parent + + for p in range(0, len(parents)): + parents[p] = uniqueParents[parents[p]] + +def getCachedPredictionContext(context:PredictionContext, contextCache:PredictionContextCache, visited:dict): + if context.isEmpty(): + return context + existing = visited.get(context) + if existing is not None: + return existing + existing = contextCache.get(context) + if existing is not None: + visited[context] = existing + return existing + changed = False + parents = [None] * len(context) + for i in range(0, len(parents)): + parent = getCachedPredictionContext(context.getParent(i), contextCache, visited) + if changed or parent is not context.getParent(i): + if not changed: + parents = [context.getParent(j) for j in range(len(context))] + changed = True + parents[i] = parent + if not changed: + contextCache.add(context) + visited[context] = context + return context + + updated = None + if len(parents) == 0: + updated = PredictionContext.EMPTY + elif len(parents) == 1: + updated = SingletonPredictionContext.create(parents[0], context.getReturnState(0)) + else: + updated = ArrayPredictionContext(parents, context.returnStates) + + contextCache.add(updated) + visited[updated] = updated + visited[context] = updated + + return updated + + +# # extra structures, but cut/paste/morphed works, so leave it. +# # seems to do a breadth-first walk +# public static List getAllNodes(PredictionContext context) { +# Map visited = +# new IdentityHashMap(); +# Deque workList = new ArrayDeque(); +# workList.add(context); +# visited.put(context, context); +# List nodes = new ArrayList(); +# while (!workList.isEmpty()) { +# PredictionContext current = workList.pop(); +# nodes.add(current); +# for (int i = 0; i < current.size(); i++) { +# PredictionContext parent = current.getParent(i); +# if ( parent!=null && visited.put(parent, parent) == null) { +# workList.push(parent); +# } +# } +# } +# return nodes; +# } + +# ter's recursive version of Sam's getAllNodes() +def getAllContextNodes(context:PredictionContext, nodes:list=None, visited:dict=None): + if nodes is None: + nodes = list() + return getAllContextNodes(context, nodes, visited) + elif visited is None: + visited = dict() + return getAllContextNodes(context, nodes, visited) + else: + if context is None or visited.get(context, None) is not None: + return nodes + visited.put(context, context) + nodes.add(context) + for i in range(0, len(context)): + getAllContextNodes(context.getParent(i), nodes, visited) + return nodes + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Recognizer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Recognizer.py new file mode 100644 index 0000000000000000000000000000000000000000..d87738be57ebfd87569615ef24de72e04094ecaf --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Recognizer.py @@ -0,0 +1,147 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# +from antlr4.RuleContext import RuleContext +from antlr4.Token import Token +from antlr4.error.ErrorListener import ProxyErrorListener, ConsoleErrorListener + +# need forward delcaration +RecognitionException = None + +class Recognizer(object): + __slots__ = ('_listeners', '_interp', '_stateNumber') + + tokenTypeMapCache = dict() + ruleIndexMapCache = dict() + + def __init__(self): + self._listeners = [ ConsoleErrorListener.INSTANCE ] + self._interp = None + self._stateNumber = -1 + + def extractVersion(self, version): + pos = version.find(".") + major = version[0:pos] + version = version[pos+1:] + pos = version.find(".") + if pos==-1: + pos = version.find("-") + if pos==-1: + pos = len(version) + minor = version[0:pos] + return major, minor + + def checkVersion(self, toolVersion): + runtimeVersion = "4.9.3" + rvmajor, rvminor = self.extractVersion(runtimeVersion) + tvmajor, tvminor = self.extractVersion(toolVersion) + if rvmajor!=tvmajor or rvminor!=tvminor: + print("ANTLR runtime and generated code versions disagree: "+runtimeVersion+"!="+toolVersion) + + def addErrorListener(self, listener): + self._listeners.append(listener) + + def removeErrorListener(self, listener): + self._listeners.remove(listener) + + def removeErrorListeners(self): + self._listeners = [] + + def getTokenTypeMap(self): + tokenNames = self.getTokenNames() + if tokenNames is None: + from antlr4.error.Errors import UnsupportedOperationException + raise UnsupportedOperationException("The current recognizer does not provide a list of token names.") + result = self.tokenTypeMapCache.get(tokenNames, None) + if result is None: + result = zip( tokenNames, range(0, len(tokenNames))) + result["EOF"] = Token.EOF + self.tokenTypeMapCache[tokenNames] = result + return result + + # Get a map from rule names to rule indexes. + # + #

        Used for XPath and tree pattern compilation.

        + # + def getRuleIndexMap(self): + ruleNames = self.getRuleNames() + if ruleNames is None: + from antlr4.error.Errors import UnsupportedOperationException + raise UnsupportedOperationException("The current recognizer does not provide a list of rule names.") + result = self.ruleIndexMapCache.get(ruleNames, None) + if result is None: + result = zip( ruleNames, range(0, len(ruleNames))) + self.ruleIndexMapCache[ruleNames] = result + return result + + def getTokenType(self, tokenName:str): + ttype = self.getTokenTypeMap().get(tokenName, None) + if ttype is not None: + return ttype + else: + return Token.INVALID_TYPE + + + # What is the error header, normally line/character position information?# + def getErrorHeader(self, e:RecognitionException): + line = e.getOffendingToken().line + column = e.getOffendingToken().column + return "line "+line+":"+column + + + # How should a token be displayed in an error message? The default + # is to display just the text, but during development you might + # want to have a lot of information spit out. Override in that case + # to use t.toString() (which, for CommonToken, dumps everything about + # the token). This is better than forcing you to override a method in + # your token objects because you don't have to go modify your lexer + # so that it creates a new Java type. + # + # @deprecated This method is not called by the ANTLR 4 Runtime. Specific + # implementations of {@link ANTLRErrorStrategy} may provide a similar + # feature when necessary. For example, see + # {@link DefaultErrorStrategy#getTokenErrorDisplay}. + # + def getTokenErrorDisplay(self, t:Token): + if t is None: + return "" + s = t.text + if s is None: + if t.type==Token.EOF: + s = "" + else: + s = "<" + str(t.type) + ">" + s = s.replace("\n","\\n") + s = s.replace("\r","\\r") + s = s.replace("\t","\\t") + return "'" + s + "'" + + def getErrorListenerDispatch(self): + return ProxyErrorListener(self._listeners) + + # subclass needs to override these if there are sempreds or actions + # that the ATN interp needs to execute + def sempred(self, localctx:RuleContext, ruleIndex:int, actionIndex:int): + return True + + def precpred(self, localctx:RuleContext , precedence:int): + return True + + @property + def state(self): + return self._stateNumber + + # Indicate that the recognizer has changed internal state that is + # consistent with the ATN state passed in. This way we always know + # where we are in the ATN as the parser goes along. The rule + # context objects form a stack that lets us see the stack of + # invoking rules. Combine this and we have complete ATN + # configuration information. + + @state.setter + def state(self, atnState:int): + self._stateNumber = atnState + +del RecognitionException diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/RuleContext.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/RuleContext.py new file mode 100644 index 0000000000000000000000000000000000000000..7812ba3b1c87cc53dd5a7e64cdd0c556f6a43822 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/RuleContext.py @@ -0,0 +1,227 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ + + +# A rule context is a record of a single rule invocation. It knows +# which context invoked it, if any. If there is no parent context, then +# naturally the invoking state is not valid. The parent link +# provides a chain upwards from the current rule invocation to the root +# of the invocation tree, forming a stack. We actually carry no +# information about the rule associated with this context (except +# when parsing). We keep only the state number of the invoking state from +# the ATN submachine that invoked this. Contrast this with the s +# pointer inside ParserRuleContext that tracks the current state +# being "executed" for the current rule. +# +# The parent contexts are useful for computing lookahead sets and +# getting error information. +# +# These objects are used during parsing and prediction. +# For the special case of parsers, we use the subclass +# ParserRuleContext. +# +# @see ParserRuleContext +#/ +from io import StringIO +from antlr4.tree.Tree import RuleNode, INVALID_INTERVAL, ParseTreeVisitor +from antlr4.tree.Trees import Trees + +# need forward declarations +RuleContext = None +Parser = None + +class RuleContext(RuleNode): + __slots__ = ('parentCtx', 'invokingState') + EMPTY = None + + def __init__(self, parent:RuleContext=None, invokingState:int=-1): + super().__init__() + # What context invoked this rule? + self.parentCtx = parent + # What state invoked the rule associated with this context? + # The "return address" is the followState of invokingState + # If parent is null, this should be -1. + self.invokingState = invokingState + + + def depth(self): + n = 0 + p = self + while p is not None: + p = p.parentCtx + n += 1 + return n + + # A context is empty if there is no invoking state; meaning nobody call + # current context. + def isEmpty(self): + return self.invokingState == -1 + + # satisfy the ParseTree / SyntaxTree interface + + def getSourceInterval(self): + return INVALID_INTERVAL + + def getRuleContext(self): + return self + + def getPayload(self): + return self + + # Return the combined text of all child nodes. This method only considers + # tokens which have been added to the parse tree. + #

        + # Since tokens on hidden channels (e.g. whitespace or comments) are not + # added to the parse trees, they will not appear in the output of this + # method. + #/ + def getText(self): + if self.getChildCount() == 0: + return "" + with StringIO() as builder: + for child in self.getChildren(): + builder.write(child.getText()) + return builder.getvalue() + + def getRuleIndex(self): + return -1 + + # For rule associated with this parse tree internal node, return + # the outer alternative number used to match the input. Default + # implementation does not compute nor store this alt num. Create + # a subclass of ParserRuleContext with backing field and set + # option contextSuperClass. + # to set it. + def getAltNumber(self): + return 0 # should use ATN.INVALID_ALT_NUMBER but won't compile + + # Set the outer alternative number for this context node. Default + # implementation does nothing to avoid backing field overhead for + # trees that don't need it. Create + # a subclass of ParserRuleContext with backing field and set + # option contextSuperClass. + def setAltNumber(self, altNumber:int): + pass + + def getChild(self, i:int): + return None + + def getChildCount(self): + return 0 + + def getChildren(self): + for c in []: + yield c + + def accept(self, visitor:ParseTreeVisitor): + return visitor.visitChildren(self) + + # # Call this method to view a parse tree in a dialog box visually.#/ + # public Future inspect(@Nullable Parser parser) { + # List ruleNames = parser != null ? Arrays.asList(parser.getRuleNames()) : null; + # return inspect(ruleNames); + # } + # + # public Future inspect(@Nullable List ruleNames) { + # TreeViewer viewer = new TreeViewer(ruleNames, this); + # return viewer.open(); + # } + # + # # Save this tree in a postscript file#/ + # public void save(@Nullable Parser parser, String fileName) + # throws IOException, PrintException + # { + # List ruleNames = parser != null ? Arrays.asList(parser.getRuleNames()) : null; + # save(ruleNames, fileName); + # } + # + # # Save this tree in a postscript file using a particular font name and size#/ + # public void save(@Nullable Parser parser, String fileName, + # String fontName, int fontSize) + # throws IOException + # { + # List ruleNames = parser != null ? Arrays.asList(parser.getRuleNames()) : null; + # save(ruleNames, fileName, fontName, fontSize); + # } + # + # # Save this tree in a postscript file#/ + # public void save(@Nullable List ruleNames, String fileName) + # throws IOException, PrintException + # { + # Trees.writePS(this, ruleNames, fileName); + # } + # + # # Save this tree in a postscript file using a particular font name and size#/ + # public void save(@Nullable List ruleNames, String fileName, + # String fontName, int fontSize) + # throws IOException + # { + # Trees.writePS(this, ruleNames, fileName, fontName, fontSize); + # } + # + # # Print out a whole tree, not just a node, in LISP format + # # (root child1 .. childN). Print just a node if this is a leaf. + # # We have to know the recognizer so we can get rule names. + # #/ + # @Override + # public String toStringTree(@Nullable Parser recog) { + # return Trees.toStringTree(this, recog); + # } + # + # Print out a whole tree, not just a node, in LISP format + # (root child1 .. childN). Print just a node if this is a leaf. + # + def toStringTree(self, ruleNames:list=None, recog:Parser=None): + return Trees.toStringTree(self, ruleNames=ruleNames, recog=recog) + # } + # + # @Override + # public String toStringTree() { + # return toStringTree((List)null); + # } + # + def __str__(self): + return self.toString(None, None) + + # @Override + # public String toString() { + # return toString((List)null, (RuleContext)null); + # } + # + # public final String toString(@Nullable Recognizer recog) { + # return toString(recog, ParserRuleContext.EMPTY); + # } + # + # public final String toString(@Nullable List ruleNames) { + # return toString(ruleNames, null); + # } + # + # // recog null unless ParserRuleContext, in which case we use subclass toString(...) + # public String toString(@Nullable Recognizer recog, @Nullable RuleContext stop) { + # String[] ruleNames = recog != null ? recog.getRuleNames() : null; + # List ruleNamesList = ruleNames != null ? Arrays.asList(ruleNames) : null; + # return toString(ruleNamesList, stop); + # } + + def toString(self, ruleNames:list, stop:RuleContext)->str: + with StringIO() as buf: + p = self + buf.write("[") + while p is not None and p is not stop: + if ruleNames is None: + if not p.isEmpty(): + buf.write(str(p.invokingState)) + else: + ri = p.getRuleIndex() + ruleName = ruleNames[ri] if ri >= 0 and ri < len(ruleNames) else str(ri) + buf.write(ruleName) + + if p.parentCtx is not None and (ruleNames is not None or not p.parentCtx.isEmpty()): + buf.write(" ") + + p = p.parentCtx + + buf.write("]") + return buf.getvalue() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/StdinStream.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/StdinStream.py new file mode 100644 index 0000000000000000000000000000000000000000..f044fc4d770b4bc86cce2a5578f2c2fa00fc7602 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/StdinStream.py @@ -0,0 +1,11 @@ +import codecs +import sys + +from antlr4.InputStream import InputStream + + +class StdinStream(InputStream): + def __init__(self, encoding:str='ascii', errors:str='strict') -> None: + bytes = sys.stdin.buffer.read() + data = codecs.decode(bytes, encoding, errors) + super().__init__(data) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Token.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Token.py new file mode 100644 index 0000000000000000000000000000000000000000..10a68a8c2260e47838a1c9403def21725aecc244 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Token.py @@ -0,0 +1,155 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# A token has properties: text, type, line, character position in the line +# (so we can ignore tabs), token channel, index, and source from which +# we obtained this token. +from io import StringIO + + +class Token (object): + __slots__ = ('source', 'type', 'channel', 'start', 'stop', 'tokenIndex', 'line', 'column', '_text') + + INVALID_TYPE = 0 + + # During lookahead operations, this "token" signifies we hit rule end ATN state + # and did not follow it despite needing to. + EPSILON = -2 + + MIN_USER_TOKEN_TYPE = 1 + + EOF = -1 + + # All tokens go to the parser (unless skip() is called in that rule) + # on a particular "channel". The parser tunes to a particular channel + # so that whitespace etc... can go to the parser on a "hidden" channel. + + DEFAULT_CHANNEL = 0 + + # Anything on different channel than DEFAULT_CHANNEL is not parsed + # by parser. + + HIDDEN_CHANNEL = 1 + + def __init__(self): + self.source = None + self.type = None # token type of the token + self.channel = None # The parser ignores everything not on DEFAULT_CHANNEL + self.start = None # optional; return -1 if not implemented. + self.stop = None # optional; return -1 if not implemented. + self.tokenIndex = None # from 0..n-1 of the token object in the input stream + self.line = None # line=1..n of the 1st character + self.column = None # beginning of the line at which it occurs, 0..n-1 + self._text = None # text of the token. + + @property + def text(self): + return self._text + + # Explicitly set the text for this token. If {code text} is not + # {@code null}, then {@link #getText} will return this value rather than + # extracting the text from the input. + # + # @param text The explicit text of the token, or {@code null} if the text + # should be obtained from the input along with the start and stop indexes + # of the token. + + @text.setter + def text(self, text:str): + self._text = text + + + def getTokenSource(self): + return self.source[0] + + def getInputStream(self): + return self.source[1] + +class CommonToken(Token): + + # An empty {@link Pair} which is used as the default value of + # {@link #source} for tokens that do not have a source. + EMPTY_SOURCE = (None, None) + + def __init__(self, source:tuple = EMPTY_SOURCE, type:int = None, channel:int=Token.DEFAULT_CHANNEL, start:int=-1, stop:int=-1): + super().__init__() + self.source = source + self.type = type + self.channel = channel + self.start = start + self.stop = stop + self.tokenIndex = -1 + if source[0] is not None: + self.line = source[0].line + self.column = source[0].column + else: + self.column = -1 + + # Constructs a new {@link CommonToken} as a copy of another {@link Token}. + # + #

        + # If {@code oldToken} is also a {@link CommonToken} instance, the newly + # constructed token will share a reference to the {@link #text} field and + # the {@link Pair} stored in {@link #source}. Otherwise, {@link #text} will + # be assigned the result of calling {@link #getText}, and {@link #source} + # will be constructed from the result of {@link Token#getTokenSource} and + # {@link Token#getInputStream}.

        + # + # @param oldToken The token to copy. + # + def clone(self): + t = CommonToken(self.source, self.type, self.channel, self.start, self.stop) + t.tokenIndex = self.tokenIndex + t.line = self.line + t.column = self.column + t.text = self.text + return t + + @property + def text(self): + if self._text is not None: + return self._text + input = self.getInputStream() + if input is None: + return None + n = input.size + if self.start < n and self.stop < n: + return input.getText(self.start, self.stop) + else: + return "" + + @text.setter + def text(self, text:str): + self._text = text + + def __str__(self): + with StringIO() as buf: + buf.write("[@") + buf.write(str(self.tokenIndex)) + buf.write(",") + buf.write(str(self.start)) + buf.write(":") + buf.write(str(self.stop)) + buf.write("='") + txt = self.text + if txt is not None: + txt = txt.replace("\n","\\n") + txt = txt.replace("\r","\\r") + txt = txt.replace("\t","\\t") + else: + txt = "" + buf.write(txt) + buf.write("',<") + buf.write(str(self.type)) + buf.write(">") + if self.channel > 0: + buf.write(",channel=") + buf.write(str(self.channel)) + buf.write(",") + buf.write(str(self.line)) + buf.write(":") + buf.write(str(self.column)) + buf.write("]") + return buf.getvalue() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/TokenStreamRewriter.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/TokenStreamRewriter.py new file mode 100644 index 0000000000000000000000000000000000000000..59baf8f47a1ba447a143842c8df825ef58035918 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/TokenStreamRewriter.py @@ -0,0 +1,255 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +from io import StringIO +from antlr4.Token import Token + +from antlr4.CommonTokenStream import CommonTokenStream + + +class TokenStreamRewriter(object): + __slots__ = ('tokens', 'programs', 'lastRewriteTokenIndexes') + + DEFAULT_PROGRAM_NAME = "default" + PROGRAM_INIT_SIZE = 100 + MIN_TOKEN_INDEX = 0 + + def __init__(self, tokens): + """ + :type tokens: antlr4.BufferedTokenStream.BufferedTokenStream + :param tokens: + :return: + """ + super(TokenStreamRewriter, self).__init__() + self.tokens = tokens + self.programs = {self.DEFAULT_PROGRAM_NAME: []} + self.lastRewriteTokenIndexes = {} + + def getTokenStream(self): + return self.tokens + + def rollback(self, instruction_index, program_name): + ins = self.programs.get(program_name, None) + if ins: + self.programs[program_name] = ins[self.MIN_TOKEN_INDEX: instruction_index] + + def deleteProgram(self, program_name=DEFAULT_PROGRAM_NAME): + self.rollback(self.MIN_TOKEN_INDEX, program_name) + + def insertAfterToken(self, token, text, program_name=DEFAULT_PROGRAM_NAME): + self.insertAfter(token.tokenIndex, text, program_name) + + def insertAfter(self, index, text, program_name=DEFAULT_PROGRAM_NAME): + op = self.InsertAfterOp(self.tokens, index + 1, text) + rewrites = self.getProgram(program_name) + op.instructionIndex = len(rewrites) + rewrites.append(op) + + def insertBeforeIndex(self, index, text): + self.insertBefore(self.DEFAULT_PROGRAM_NAME, index, text) + + def insertBeforeToken(self, token, text, program_name=DEFAULT_PROGRAM_NAME): + self.insertBefore(program_name, token.tokenIndex, text) + + def insertBefore(self, program_name, index, text): + op = self.InsertBeforeOp(self.tokens, index, text) + rewrites = self.getProgram(program_name) + op.instructionIndex = len(rewrites) + rewrites.append(op) + + def replaceIndex(self, index, text): + self.replace(self.DEFAULT_PROGRAM_NAME, index, index, text) + + def replaceRange(self, from_idx, to_idx, text): + self.replace(self.DEFAULT_PROGRAM_NAME, from_idx, to_idx, text) + + def replaceSingleToken(self, token, text): + self.replace(self.DEFAULT_PROGRAM_NAME, token.tokenIndex, token.tokenIndex, text) + + def replaceRangeTokens(self, from_token, to_token, text, program_name=DEFAULT_PROGRAM_NAME): + self.replace(program_name, from_token.tokenIndex, to_token.tokenIndex, text) + + def replace(self, program_name, from_idx, to_idx, text): + if any((from_idx > to_idx, from_idx < 0, to_idx < 0, to_idx >= len(self.tokens.tokens))): + raise ValueError( + 'replace: range invalid: {}..{}(size={})'.format(from_idx, to_idx, len(self.tokens.tokens))) + op = self.ReplaceOp(from_idx, to_idx, self.tokens, text) + rewrites = self.getProgram(program_name) + op.instructionIndex = len(rewrites) + rewrites.append(op) + + def deleteToken(self, token): + self.delete(self.DEFAULT_PROGRAM_NAME, token, token) + + def deleteIndex(self, index): + self.delete(self.DEFAULT_PROGRAM_NAME, index, index) + + def delete(self, program_name, from_idx, to_idx): + if isinstance(from_idx, Token): + self.replace(program_name, from_idx.tokenIndex, to_idx.tokenIndex, "") + else: + self.replace(program_name, from_idx, to_idx, "") + + def lastRewriteTokenIndex(self, program_name=DEFAULT_PROGRAM_NAME): + return self.lastRewriteTokenIndexes.get(program_name, -1) + + def setLastRewriteTokenIndex(self, program_name, i): + self.lastRewriteTokenIndexes[program_name] = i + + def getProgram(self, program_name): + return self.programs.setdefault(program_name, []) + + def getDefaultText(self): + return self.getText(self.DEFAULT_PROGRAM_NAME, 0, len(self.tokens.tokens) - 1) + + def getText(self, program_name, start:int, stop:int): + """ + :return: the text in tokens[start, stop](closed interval) + """ + rewrites = self.programs.get(program_name) + + # ensure start/end are in range + if stop > len(self.tokens.tokens) - 1: + stop = len(self.tokens.tokens) - 1 + if start < 0: + start = 0 + + # if no instructions to execute + if not rewrites: return self.tokens.getText(start, stop) + buf = StringIO() + indexToOp = self._reduceToSingleOperationPerIndex(rewrites) + i = start + while all((i <= stop, i < len(self.tokens.tokens))): + op = indexToOp.pop(i, None) + token = self.tokens.get(i) + if op is None: + if token.type != Token.EOF: buf.write(token.text) + i += 1 + else: + i = op.execute(buf) + + if stop == len(self.tokens.tokens)-1: + for op in indexToOp.values(): + if op.index >= len(self.tokens.tokens)-1: buf.write(op.text) + + return buf.getvalue() + + def _reduceToSingleOperationPerIndex(self, rewrites): + # Walk replaces + for i, rop in enumerate(rewrites): + if any((rop is None, not isinstance(rop, TokenStreamRewriter.ReplaceOp))): + continue + # Wipe prior inserts within range + inserts = [op for op in rewrites[:i] if isinstance(op, TokenStreamRewriter.InsertBeforeOp)] + for iop in inserts: + if iop.index == rop.index: + rewrites[iop.instructionIndex] = None + rop.text = '{}{}'.format(iop.text, rop.text) + elif all((iop.index > rop.index, iop.index <= rop.last_index)): + rewrites[iop.instructionIndex] = None + + # Drop any prior replaces contained within + prevReplaces = [op for op in rewrites[:i] if isinstance(op, TokenStreamRewriter.ReplaceOp)] + for prevRop in prevReplaces: + if all((prevRop.index >= rop.index, prevRop.last_index <= rop.last_index)): + rewrites[prevRop.instructionIndex] = None + continue + isDisjoint = any((prevRop.last_indexrop.last_index)) + if all((prevRop.text is None, rop.text is None, not isDisjoint)): + rewrites[prevRop.instructionIndex] = None + rop.index = min(prevRop.index, rop.index) + rop.last_index = min(prevRop.last_index, rop.last_index) + print('New rop {}'.format(rop)) + elif (not(isDisjoint)): + raise ValueError("replace op boundaries of {} overlap with previous {}".format(rop, prevRop)) + + # Walk inserts + for i, iop in enumerate(rewrites): + if any((iop is None, not isinstance(iop, TokenStreamRewriter.InsertBeforeOp))): + continue + prevInserts = [op for op in rewrites[:i] if isinstance(op, TokenStreamRewriter.InsertBeforeOp)] + for prev_index, prevIop in enumerate(prevInserts): + if prevIop.index == iop.index and type(prevIop) is TokenStreamRewriter.InsertBeforeOp: + iop.text += prevIop.text + rewrites[prev_index] = None + elif prevIop.index == iop.index and type(prevIop) is TokenStreamRewriter.InsertAfterOp: + iop.text = prevIop.text + iop.text + rewrites[prev_index] = None + # look for replaces where iop.index is in range; error + prevReplaces = [op for op in rewrites[:i] if isinstance(op, TokenStreamRewriter.ReplaceOp)] + for rop in prevReplaces: + if iop.index == rop.index: + rop.text = iop.text + rop.text + rewrites[i] = None + continue + if all((iop.index >= rop.index, iop.index <= rop.last_index)): + raise ValueError("insert op {} within boundaries of previous {}".format(iop, rop)) + + reduced = {} + for i, op in enumerate(rewrites): + if op is None: continue + if reduced.get(op.index): raise ValueError('should be only one op per index') + reduced[op.index] = op + + return reduced + + class RewriteOperation(object): + __slots__ = ('tokens', 'index', 'text', 'instructionIndex') + + def __init__(self, tokens, index, text=""): + """ + :type tokens: CommonTokenStream + :param tokens: + :param index: + :param text: + :return: + """ + self.tokens = tokens + self.index = index + self.text = text + self.instructionIndex = 0 + + def execute(self, buf): + """ + :type buf: StringIO.StringIO + :param buf: + :return: + """ + return self.index + + def __str__(self): + return '<{}@{}:"{}">'.format(self.__class__.__name__, self.tokens.get(self.index), self.text) + + class InsertBeforeOp(RewriteOperation): + + def __init__(self, tokens, index, text=""): + super(TokenStreamRewriter.InsertBeforeOp, self).__init__(tokens, index, text) + + def execute(self, buf): + buf.write(self.text) + if self.tokens.get(self.index).type != Token.EOF: + buf.write(self.tokens.get(self.index).text) + return self.index + 1 + + class InsertAfterOp(InsertBeforeOp): + pass + + class ReplaceOp(RewriteOperation): + __slots__ = 'last_index' + + def __init__(self, from_idx, to_idx, tokens, text): + super(TokenStreamRewriter.ReplaceOp, self).__init__(tokens, from_idx, text) + self.last_index = to_idx + + def execute(self, buf): + if self.text: + buf.write(self.text) + return self.last_index + 1 + + def __str__(self): + if self.text: + return ''.format(self.tokens.get(self.index), self.tokens.get(self.last_index), + self.text) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Utils.py new file mode 100644 index 0000000000000000000000000000000000000000..88c870dae63ef4bda74e25aea47befb75be34a5d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/Utils.py @@ -0,0 +1,33 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +from io import StringIO + +def str_list(val): + with StringIO() as buf: + buf.write('[') + first = True + for item in val: + if not first: + buf.write(', ') + buf.write(str(item)) + first = False + buf.write(']') + return buf.getvalue() + +def escapeWhitespace(s:str, escapeSpaces:bool): + with StringIO() as buf: + for c in s: + if c==' ' and escapeSpaces: + buf.write('\u00B7') + elif c=='\t': + buf.write("\\t") + elif c=='\n': + buf.write("\\n") + elif c=='\r': + buf.write("\\r") + else: + buf.write(c) + return buf.getvalue() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..42027289e7af293a297b538f07f43ca4a566ef62 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/__init__.py @@ -0,0 +1,21 @@ +from antlr4.Token import Token +from antlr4.InputStream import InputStream +from antlr4.FileStream import FileStream +from antlr4.StdinStream import StdinStream +from antlr4.BufferedTokenStream import TokenStream +from antlr4.CommonTokenStream import CommonTokenStream +from antlr4.Lexer import Lexer +from antlr4.Parser import Parser +from antlr4.dfa.DFA import DFA +from antlr4.atn.ATN import ATN +from antlr4.atn.ATNDeserializer import ATNDeserializer +from antlr4.atn.LexerATNSimulator import LexerATNSimulator +from antlr4.atn.ParserATNSimulator import ParserATNSimulator +from antlr4.atn.PredictionMode import PredictionMode +from antlr4.PredictionContext import PredictionContextCache +from antlr4.ParserRuleContext import RuleContext, ParserRuleContext +from antlr4.tree.Tree import ParseTreeListener, ParseTreeVisitor, ParseTreeWalker, TerminalNode, ErrorNode, RuleNode +from antlr4.error.Errors import RecognitionException, IllegalStateException, NoViableAltException +from antlr4.error.ErrorStrategy import BailErrorStrategy +from antlr4.error.DiagnosticErrorListener import DiagnosticErrorListener +from antlr4.Utils import str_list diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATN.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATN.py new file mode 100644 index 0000000000000000000000000000000000000000..3f1abe0a4a7faacde5140d5631dfe48a79325cd4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATN.py @@ -0,0 +1,132 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ +from antlr4.IntervalSet import IntervalSet + +from antlr4.RuleContext import RuleContext + +from antlr4.Token import Token +from antlr4.atn.ATNType import ATNType +from antlr4.atn.ATNState import ATNState, DecisionState + + +class ATN(object): + __slots__ = ( + 'grammarType', 'maxTokenType', 'states', 'decisionToState', + 'ruleToStartState', 'ruleToStopState', 'modeNameToStartState', + 'ruleToTokenType', 'lexerActions', 'modeToStartState' + ) + + INVALID_ALT_NUMBER = 0 + + # Used for runtime deserialization of ATNs from strings#/ + def __init__(self, grammarType:ATNType , maxTokenType:int ): + # The type of the ATN. + self.grammarType = grammarType + # The maximum value for any symbol recognized by a transition in the ATN. + self.maxTokenType = maxTokenType + self.states = [] + # Each subrule/rule is a decision point and we must track them so we + # can go back later and build DFA predictors for them. This includes + # all the rules, subrules, optional blocks, ()+, ()* etc... + self.decisionToState = [] + # Maps from rule index to starting state number. + self.ruleToStartState = [] + # Maps from rule index to stop state number. + self.ruleToStopState = None + self.modeNameToStartState = dict() + # For lexer ATNs, this maps the rule index to the resulting token type. + # For parser ATNs, this maps the rule index to the generated bypass token + # type if the + # {@link ATNDeserializationOptions#isGenerateRuleBypassTransitions} + # deserialization option was specified; otherwise, this is {@code null}. + self.ruleToTokenType = None + # For lexer ATNs, this is an array of {@link LexerAction} objects which may + # be referenced by action transitions in the ATN. + self.lexerActions = None + self.modeToStartState = [] + + # Compute the set of valid tokens that can occur starting in state {@code s}. + # If {@code ctx} is null, the set of tokens will not include what can follow + # the rule surrounding {@code s}. In other words, the set will be + # restricted to tokens reachable staying within {@code s}'s rule. + def nextTokensInContext(self, s:ATNState, ctx:RuleContext): + from antlr4.LL1Analyzer import LL1Analyzer + anal = LL1Analyzer(self) + return anal.LOOK(s, ctx=ctx) + + # Compute the set of valid tokens that can occur starting in {@code s} and + # staying in same rule. {@link Token#EPSILON} is in set if we reach end of + # rule. + def nextTokensNoContext(self, s:ATNState): + if s.nextTokenWithinRule is not None: + return s.nextTokenWithinRule + s.nextTokenWithinRule = self.nextTokensInContext(s, None) + s.nextTokenWithinRule.readonly = True + return s.nextTokenWithinRule + + def nextTokens(self, s:ATNState, ctx:RuleContext = None): + if ctx==None: + return self.nextTokensNoContext(s) + else: + return self.nextTokensInContext(s, ctx) + + def addState(self, state:ATNState): + if state is not None: + state.atn = self + state.stateNumber = len(self.states) + self.states.append(state) + + def removeState(self, state:ATNState): + self.states[state.stateNumber] = None # just free mem, don't shift states in list + + def defineDecisionState(self, s:DecisionState): + self.decisionToState.append(s) + s.decision = len(self.decisionToState)-1 + return s.decision + + def getDecisionState(self, decision:int): + if len(self.decisionToState)==0: + return None + else: + return self.decisionToState[decision] + + # Computes the set of input symbols which could follow ATN state number + # {@code stateNumber} in the specified full {@code context}. This method + # considers the complete parser context, but does not evaluate semantic + # predicates (i.e. all predicates encountered during the calculation are + # assumed true). If a path in the ATN exists from the starting state to the + # {@link RuleStopState} of the outermost context without matching any + # symbols, {@link Token#EOF} is added to the returned set. + # + #

        If {@code context} is {@code null}, it is treated as + # {@link ParserRuleContext#EMPTY}.

        + # + # @param stateNumber the ATN state number + # @param context the full parse context + # @return The set of potentially valid input symbols which could follow the + # specified state in the specified context. + # @throws IllegalArgumentException if the ATN does not contain a state with + # number {@code stateNumber} + #/ + def getExpectedTokens(self, stateNumber:int, ctx:RuleContext ): + if stateNumber < 0 or stateNumber >= len(self.states): + raise Exception("Invalid state number.") + s = self.states[stateNumber] + following = self.nextTokens(s) + if Token.EPSILON not in following: + return following + expected = IntervalSet() + expected.addSet(following) + expected.removeOne(Token.EPSILON) + while (ctx != None and ctx.invokingState >= 0 and Token.EPSILON in following): + invokingState = self.states[ctx.invokingState] + rt = invokingState.transitions[0] + following = self.nextTokens(rt.followState) + expected.addSet(following) + expected.removeOne(Token.EPSILON) + ctx = ctx.parentCtx + if Token.EPSILON in following: + expected.addOne(Token.EOF) + return expected diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNConfig.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNConfig.py new file mode 100644 index 0000000000000000000000000000000000000000..e008fb2efac45a24b6d9566170bbd227cee252b6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNConfig.py @@ -0,0 +1,159 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ + +# A tuple: (ATN state, predicted alt, syntactic, semantic context). +# The syntactic context is a graph-structured stack node whose +# path(s) to the root is the rule invocation(s) +# chain used to arrive at the state. The semantic context is +# the tree of semantic predicates encountered before reaching +# an ATN state. +#/ +from io import StringIO +from antlr4.PredictionContext import PredictionContext +from antlr4.atn.ATNState import ATNState, DecisionState +from antlr4.atn.LexerActionExecutor import LexerActionExecutor +from antlr4.atn.SemanticContext import SemanticContext + +# need a forward declaration +ATNConfig = None + +class ATNConfig(object): + __slots__ = ( + 'state', 'alt', 'context', 'semanticContext', 'reachesIntoOuterContext', + 'precedenceFilterSuppressed' + ) + + def __init__(self, state:ATNState=None, alt:int=None, context:PredictionContext=None, semantic:SemanticContext=None, config:ATNConfig=None): + if config is not None: + if state is None: + state = config.state + if alt is None: + alt = config.alt + if context is None: + context = config.context + if semantic is None: + semantic = config.semanticContext + if semantic is None: + semantic = SemanticContext.NONE + # The ATN state associated with this configuration#/ + self.state = state + # What alt (or lexer rule) is predicted by this configuration#/ + self.alt = alt + # The stack of invoking states leading to the rule/states associated + # with this config. We track only those contexts pushed during + # execution of the ATN simulator. + self.context = context + self.semanticContext = semantic + # We cannot execute predicates dependent upon local context unless + # we know for sure we are in the correct context. Because there is + # no way to do this efficiently, we simply cannot evaluate + # dependent predicates unless we are in the rule that initially + # invokes the ATN simulator. + # + # closure() tracks the depth of how far we dip into the + # outer context: depth > 0. Note that it may not be totally + # accurate depth since I don't ever decrement. TODO: make it a boolean then + self.reachesIntoOuterContext = 0 if config is None else config.reachesIntoOuterContext + self.precedenceFilterSuppressed = False if config is None else config.precedenceFilterSuppressed + + # An ATN configuration is equal to another if both have + # the same state, they predict the same alternative, and + # syntactic/semantic contexts are the same. + #/ + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, ATNConfig): + return False + else: + return self.state.stateNumber==other.state.stateNumber \ + and self.alt==other.alt \ + and ((self.context is other.context) or (self.context==other.context)) \ + and self.semanticContext==other.semanticContext \ + and self.precedenceFilterSuppressed==other.precedenceFilterSuppressed + + def __hash__(self): + return hash((self.state.stateNumber, self.alt, self.context, self.semanticContext)) + + def hashCodeForConfigSet(self): + return hash((self.state.stateNumber, self.alt, hash(self.semanticContext))) + + def equalsForConfigSet(self, other): + if self is other: + return True + elif not isinstance(other, ATNConfig): + return False + else: + return self.state.stateNumber==other.state.stateNumber \ + and self.alt==other.alt \ + and self.semanticContext==other.semanticContext + + def __str__(self): + with StringIO() as buf: + buf.write('(') + buf.write(str(self.state)) + buf.write(",") + buf.write(str(self.alt)) + if self.context is not None: + buf.write(",[") + buf.write(str(self.context)) + buf.write("]") + if self.semanticContext is not None and self.semanticContext is not SemanticContext.NONE: + buf.write(",") + buf.write(str(self.semanticContext)) + if self.reachesIntoOuterContext>0: + buf.write(",up=") + buf.write(str(self.reachesIntoOuterContext)) + buf.write(')') + return buf.getvalue() + +# need a forward declaration +LexerATNConfig = None + +class LexerATNConfig(ATNConfig): + __slots__ = ('lexerActionExecutor', 'passedThroughNonGreedyDecision') + + def __init__(self, state:ATNState, alt:int=None, context:PredictionContext=None, semantic:SemanticContext=SemanticContext.NONE, + lexerActionExecutor:LexerActionExecutor=None, config:LexerATNConfig=None): + super().__init__(state=state, alt=alt, context=context, semantic=semantic, config=config) + if config is not None: + if lexerActionExecutor is None: + lexerActionExecutor = config.lexerActionExecutor + # This is the backing field for {@link #getLexerActionExecutor}. + self.lexerActionExecutor = lexerActionExecutor + self.passedThroughNonGreedyDecision = False if config is None else self.checkNonGreedyDecision(config, state) + + def __hash__(self): + return hash((self.state.stateNumber, self.alt, self.context, + self.semanticContext, self.passedThroughNonGreedyDecision, + self.lexerActionExecutor)) + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, LexerATNConfig): + return False + if self.passedThroughNonGreedyDecision != other.passedThroughNonGreedyDecision: + return False + if not(self.lexerActionExecutor == other.lexerActionExecutor): + return False + return super().__eq__(other) + + + + def hashCodeForConfigSet(self): + return hash(self) + + + + def equalsForConfigSet(self, other): + return self==other + + + + def checkNonGreedyDecision(self, source:LexerATNConfig, target:ATNState): + return source.passedThroughNonGreedyDecision \ + or isinstance(target, DecisionState) and target.nonGreedy diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNConfigSet.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNConfigSet.py new file mode 100644 index 0000000000000000000000000000000000000000..9e9a512a682431e46a3f5b848420a762af3c7914 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNConfigSet.py @@ -0,0 +1,212 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. + +# +# Specialized {@link Set}{@code <}{@link ATNConfig}{@code >} that can track +# info about the set, with support for combining similar configurations using a +# graph-structured stack. +#/ +from io import StringIO +from functools import reduce +from antlr4.PredictionContext import PredictionContext, merge +from antlr4.Utils import str_list +from antlr4.atn.ATN import ATN +from antlr4.atn.ATNConfig import ATNConfig +from antlr4.atn.SemanticContext import SemanticContext +from antlr4.error.Errors import UnsupportedOperationException, IllegalStateException + +ATNSimulator = None + +class ATNConfigSet(object): + __slots__ = ( + 'configLookup', 'fullCtx', 'readonly', 'configs', 'uniqueAlt', + 'conflictingAlts', 'hasSemanticContext', 'dipsIntoOuterContext', + 'cachedHashCode' + ) + + # + # The reason that we need this is because we don't want the hash map to use + # the standard hash code and equals. We need all configurations with the same + # {@code (s,i,_,semctx)} to be equal. Unfortunately, this key effectively doubles + # the number of objects associated with ATNConfigs. The other solution is to + # use a hash table that lets us specify the equals/hashcode operation. + + def __init__(self, fullCtx:bool=True): + # All configs but hashed by (s, i, _, pi) not including context. Wiped out + # when we go readonly as this set becomes a DFA state. + self.configLookup = dict() + # Indicates that this configuration set is part of a full context + # LL prediction. It will be used to determine how to merge $. With SLL + # it's a wildcard whereas it is not for LL context merge. + self.fullCtx = fullCtx + # Indicates that the set of configurations is read-only. Do not + # allow any code to manipulate the set; DFA states will point at + # the sets and they must not change. This does not protect the other + # fields; in particular, conflictingAlts is set after + # we've made this readonly. + self.readonly = False + # Track the elements as they are added to the set; supports get(i)#/ + self.configs = [] + + # TODO: these fields make me pretty uncomfortable but nice to pack up info together, saves recomputation + # TODO: can we track conflicts as they are added to save scanning configs later? + self.uniqueAlt = 0 + self.conflictingAlts = None + + # Used in parser and lexer. In lexer, it indicates we hit a pred + # while computing a closure operation. Don't make a DFA state from this. + self.hasSemanticContext = False + self.dipsIntoOuterContext = False + + self.cachedHashCode = -1 + + def __iter__(self): + return self.configs.__iter__() + + # Adding a new config means merging contexts with existing configs for + # {@code (s, i, pi, _)}, where {@code s} is the + # {@link ATNConfig#state}, {@code i} is the {@link ATNConfig#alt}, and + # {@code pi} is the {@link ATNConfig#semanticContext}. We use + # {@code (s,i,pi)} as key. + # + #

        This method updates {@link #dipsIntoOuterContext} and + # {@link #hasSemanticContext} when necessary.

        + #/ + def add(self, config:ATNConfig, mergeCache=None): + if self.readonly: + raise Exception("This set is readonly") + if config.semanticContext is not SemanticContext.NONE: + self.hasSemanticContext = True + if config.reachesIntoOuterContext > 0: + self.dipsIntoOuterContext = True + existing = self.getOrAdd(config) + if existing is config: + self.cachedHashCode = -1 + self.configs.append(config) # track order here + return True + # a previous (s,i,pi,_), merge with it and save result + rootIsWildcard = not self.fullCtx + merged = merge(existing.context, config.context, rootIsWildcard, mergeCache) + # no need to check for existing.context, config.context in cache + # since only way to create new graphs is "call rule" and here. + # We cache at both places. + existing.reachesIntoOuterContext = max(existing.reachesIntoOuterContext, config.reachesIntoOuterContext) + # make sure to preserve the precedence filter suppression during the merge + if config.precedenceFilterSuppressed: + existing.precedenceFilterSuppressed = True + existing.context = merged # replace context; no need to alt mapping + return True + + def getOrAdd(self, config:ATNConfig): + h = config.hashCodeForConfigSet() + l = self.configLookup.get(h, None) + if l is not None: + r = next((cfg for cfg in l if config.equalsForConfigSet(cfg)), None) + if r is not None: + return r + if l is None: + l = [config] + self.configLookup[h] = l + else: + l.append(config) + return config + + def getStates(self): + return set(c.state for c in self.configs) + + def getPredicates(self): + return list(cfg.semanticContext for cfg in self.configs if cfg.semanticContext!=SemanticContext.NONE) + + def get(self, i:int): + return self.configs[i] + + def optimizeConfigs(self, interpreter:ATNSimulator): + if self.readonly: + raise IllegalStateException("This set is readonly") + if len(self.configs)==0: + return + for config in self.configs: + config.context = interpreter.getCachedContext(config.context) + + def addAll(self, coll:list): + for c in coll: + self.add(c) + return False + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, ATNConfigSet): + return False + + same = self.configs is not None and \ + self.configs==other.configs and \ + self.fullCtx == other.fullCtx and \ + self.uniqueAlt == other.uniqueAlt and \ + self.conflictingAlts == other.conflictingAlts and \ + self.hasSemanticContext == other.hasSemanticContext and \ + self.dipsIntoOuterContext == other.dipsIntoOuterContext + + return same + + def __hash__(self): + if self.readonly: + if self.cachedHashCode == -1: + self.cachedHashCode = self.hashConfigs() + return self.cachedHashCode + return self.hashConfigs() + + def hashConfigs(self): + return reduce(lambda h, cfg: hash((h, cfg)), self.configs, 0) + + def __len__(self): + return len(self.configs) + + def isEmpty(self): + return len(self.configs)==0 + + def __contains__(self, config): + if self.configLookup is None: + raise UnsupportedOperationException("This method is not implemented for readonly sets.") + h = config.hashCodeForConfigSet() + l = self.configLookup.get(h, None) + if l is not None: + for c in l: + if config.equalsForConfigSet(c): + return True + return False + + def clear(self): + if self.readonly: + raise IllegalStateException("This set is readonly") + self.configs.clear() + self.cachedHashCode = -1 + self.configLookup.clear() + + def setReadonly(self, readonly:bool): + self.readonly = readonly + self.configLookup = None # can't mod, no need for lookup cache + + def __str__(self): + with StringIO() as buf: + buf.write(str_list(self.configs)) + if self.hasSemanticContext: + buf.write(",hasSemanticContext=") + buf.write(str(self.hasSemanticContext)) + if self.uniqueAlt!=ATN.INVALID_ALT_NUMBER: + buf.write(",uniqueAlt=") + buf.write(str(self.uniqueAlt)) + if self.conflictingAlts is not None: + buf.write(",conflictingAlts=") + buf.write(str(self.conflictingAlts)) + if self.dipsIntoOuterContext: + buf.write(",dipsIntoOuterContext") + return buf.getvalue() + + +class OrderedATNConfigSet(ATNConfigSet): + + def __init__(self): + super().__init__() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNDeserializationOptions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNDeserializationOptions.py new file mode 100644 index 0000000000000000000000000000000000000000..69d5437f35437874a60bcc76118f018edbf65fed --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNDeserializationOptions.py @@ -0,0 +1,24 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. + +# need a forward declaration +ATNDeserializationOptions = None + +class ATNDeserializationOptions(object): + __slots__ = ('readonly', 'verifyATN', 'generateRuleBypassTransitions') + + defaultOptions = None + + def __init__(self, copyFrom:ATNDeserializationOptions = None): + self.readonly = False + self.verifyATN = True if copyFrom is None else copyFrom.verifyATN + self.generateRuleBypassTransitions = False if copyFrom is None else copyFrom.generateRuleBypassTransitions + + def __setattr__(self, key, value): + if key!="readonly" and self.readonly: + raise Exception("The object is read only.") + super(type(self), self).__setattr__(key,value) + +ATNDeserializationOptions.defaultOptions = ATNDeserializationOptions() +ATNDeserializationOptions.defaultOptions.readonly = True diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNDeserializer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNDeserializer.py new file mode 100644 index 0000000000000000000000000000000000000000..cc100d05a43e10b91390dd47a7b05f2eff6fe23f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNDeserializer.py @@ -0,0 +1,529 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ +from uuid import UUID +from io import StringIO +from typing import Callable +from antlr4.Token import Token +from antlr4.atn.ATN import ATN +from antlr4.atn.ATNType import ATNType +from antlr4.atn.ATNState import * +from antlr4.atn.Transition import * +from antlr4.atn.LexerAction import * +from antlr4.atn.ATNDeserializationOptions import ATNDeserializationOptions + +# This is the earliest supported serialized UUID. +BASE_SERIALIZED_UUID = UUID("AADB8D7E-AEEF-4415-AD2B-8204D6CF042E") + +# This UUID indicates the serialized ATN contains two sets of +# IntervalSets, where the second set's values are encoded as +# 32-bit integers to support the full Unicode SMP range up to U+10FFFF. +ADDED_UNICODE_SMP = UUID("59627784-3BE5-417A-B9EB-8131A7286089") + +# This list contains all of the currently supported UUIDs, ordered by when +# the feature first appeared in this branch. +SUPPORTED_UUIDS = [ BASE_SERIALIZED_UUID, ADDED_UNICODE_SMP ] + +SERIALIZED_VERSION = 3 + +# This is the current serialized UUID. +SERIALIZED_UUID = ADDED_UNICODE_SMP + +class ATNDeserializer (object): + __slots__ = ('deserializationOptions', 'data', 'pos', 'uuid') + + def __init__(self, options : ATNDeserializationOptions = None): + if options is None: + options = ATNDeserializationOptions.defaultOptions + self.deserializationOptions = options + + # Determines if a particular serialized representation of an ATN supports + # a particular feature, identified by the {@link UUID} used for serializing + # the ATN at the time the feature was first introduced. + # + # @param feature The {@link UUID} marking the first time the feature was + # supported in the serialized ATN. + # @param actualUuid The {@link UUID} of the actual serialized ATN which is + # currently being deserialized. + # @return {@code true} if the {@code actualUuid} value represents a + # serialized ATN at or after the feature identified by {@code feature} was + # introduced; otherwise, {@code false}. + + def isFeatureSupported(self, feature : UUID , actualUuid : UUID ): + idx1 = SUPPORTED_UUIDS.index(feature) + if idx1<0: + return False + idx2 = SUPPORTED_UUIDS.index(actualUuid) + return idx2 >= idx1 + + def deserialize(self, data : str): + self.reset(data) + self.checkVersion() + self.checkUUID() + atn = self.readATN() + self.readStates(atn) + self.readRules(atn) + self.readModes(atn) + sets = [] + # First, read all sets with 16-bit Unicode code points <= U+FFFF. + self.readSets(atn, sets, self.readInt) + # Next, if the ATN was serialized with the Unicode SMP feature, + # deserialize sets with 32-bit arguments <= U+10FFFF. + if self.isFeatureSupported(ADDED_UNICODE_SMP, self.uuid): + self.readSets(atn, sets, self.readInt32) + self.readEdges(atn, sets) + self.readDecisions(atn) + self.readLexerActions(atn) + self.markPrecedenceDecisions(atn) + self.verifyATN(atn) + if self.deserializationOptions.generateRuleBypassTransitions \ + and atn.grammarType == ATNType.PARSER: + self.generateRuleBypassTransitions(atn) + # re-verify after modification + self.verifyATN(atn) + return atn + + def reset(self, data:str): + def adjust(c): + v = ord(c) + return v-2 if v>1 else v + 65533 + temp = [ adjust(c) for c in data ] + # don't adjust the first value since that's the version number + temp[0] = ord(data[0]) + self.data = temp + self.pos = 0 + + def checkVersion(self): + version = self.readInt() + if version != SERIALIZED_VERSION: + raise Exception("Could not deserialize ATN with version " + str(version) + " (expected " + str(SERIALIZED_VERSION) + ").") + + def checkUUID(self): + uuid = self.readUUID() + if not uuid in SUPPORTED_UUIDS: + raise Exception("Could not deserialize ATN with UUID: " + str(uuid) + \ + " (expected " + str(SERIALIZED_UUID) + " or a legacy UUID).", uuid, SERIALIZED_UUID) + self.uuid = uuid + + def readATN(self): + idx = self.readInt() + grammarType = ATNType.fromOrdinal(idx) + maxTokenType = self.readInt() + return ATN(grammarType, maxTokenType) + + def readStates(self, atn:ATN): + loopBackStateNumbers = [] + endStateNumbers = [] + nstates = self.readInt() + for i in range(0, nstates): + stype = self.readInt() + # ignore bad type of states + if stype==ATNState.INVALID_TYPE: + atn.addState(None) + continue + ruleIndex = self.readInt() + if ruleIndex == 0xFFFF: + ruleIndex = -1 + + s = self.stateFactory(stype, ruleIndex) + if stype == ATNState.LOOP_END: # special case + loopBackStateNumber = self.readInt() + loopBackStateNumbers.append((s, loopBackStateNumber)) + elif isinstance(s, BlockStartState): + endStateNumber = self.readInt() + endStateNumbers.append((s, endStateNumber)) + + atn.addState(s) + + # delay the assignment of loop back and end states until we know all the state instances have been initialized + for pair in loopBackStateNumbers: + pair[0].loopBackState = atn.states[pair[1]] + + for pair in endStateNumbers: + pair[0].endState = atn.states[pair[1]] + + numNonGreedyStates = self.readInt() + for i in range(0, numNonGreedyStates): + stateNumber = self.readInt() + atn.states[stateNumber].nonGreedy = True + + numPrecedenceStates = self.readInt() + for i in range(0, numPrecedenceStates): + stateNumber = self.readInt() + atn.states[stateNumber].isPrecedenceRule = True + + def readRules(self, atn:ATN): + nrules = self.readInt() + if atn.grammarType == ATNType.LEXER: + atn.ruleToTokenType = [0] * nrules + + atn.ruleToStartState = [0] * nrules + for i in range(0, nrules): + s = self.readInt() + startState = atn.states[s] + atn.ruleToStartState[i] = startState + if atn.grammarType == ATNType.LEXER: + tokenType = self.readInt() + if tokenType == 0xFFFF: + tokenType = Token.EOF + + atn.ruleToTokenType[i] = tokenType + + atn.ruleToStopState = [0] * nrules + for state in atn.states: + if not isinstance(state, RuleStopState): + continue + atn.ruleToStopState[state.ruleIndex] = state + atn.ruleToStartState[state.ruleIndex].stopState = state + + def readModes(self, atn:ATN): + nmodes = self.readInt() + for i in range(0, nmodes): + s = self.readInt() + atn.modeToStartState.append(atn.states[s]) + + def readSets(self, atn:ATN, sets:list, readUnicode:Callable[[], int]): + m = self.readInt() + for i in range(0, m): + iset = IntervalSet() + sets.append(iset) + n = self.readInt() + containsEof = self.readInt() + if containsEof!=0: + iset.addOne(-1) + for j in range(0, n): + i1 = readUnicode() + i2 = readUnicode() + iset.addRange(range(i1, i2 + 1)) # range upper limit is exclusive + + def readEdges(self, atn:ATN, sets:list): + nedges = self.readInt() + for i in range(0, nedges): + src = self.readInt() + trg = self.readInt() + ttype = self.readInt() + arg1 = self.readInt() + arg2 = self.readInt() + arg3 = self.readInt() + trans = self.edgeFactory(atn, ttype, src, trg, arg1, arg2, arg3, sets) + srcState = atn.states[src] + srcState.addTransition(trans) + + # edges for rule stop states can be derived, so they aren't serialized + for state in atn.states: + for i in range(0, len(state.transitions)): + t = state.transitions[i] + if not isinstance(t, RuleTransition): + continue + outermostPrecedenceReturn = -1 + if atn.ruleToStartState[t.target.ruleIndex].isPrecedenceRule: + if t.precedence == 0: + outermostPrecedenceReturn = t.target.ruleIndex + trans = EpsilonTransition(t.followState, outermostPrecedenceReturn) + atn.ruleToStopState[t.target.ruleIndex].addTransition(trans) + + for state in atn.states: + if isinstance(state, BlockStartState): + # we need to know the end state to set its start state + if state.endState is None: + raise Exception("IllegalState") + # block end states can only be associated to a single block start state + if state.endState.startState is not None: + raise Exception("IllegalState") + state.endState.startState = state + + if isinstance(state, PlusLoopbackState): + for i in range(0, len(state.transitions)): + target = state.transitions[i].target + if isinstance(target, PlusBlockStartState): + target.loopBackState = state + elif isinstance(state, StarLoopbackState): + for i in range(0, len(state.transitions)): + target = state.transitions[i].target + if isinstance(target, StarLoopEntryState): + target.loopBackState = state + + def readDecisions(self, atn:ATN): + ndecisions = self.readInt() + for i in range(0, ndecisions): + s = self.readInt() + decState = atn.states[s] + atn.decisionToState.append(decState) + decState.decision = i + + def readLexerActions(self, atn:ATN): + if atn.grammarType == ATNType.LEXER: + count = self.readInt() + atn.lexerActions = [ None ] * count + for i in range(0, count): + actionType = self.readInt() + data1 = self.readInt() + if data1 == 0xFFFF: + data1 = -1 + data2 = self.readInt() + if data2 == 0xFFFF: + data2 = -1 + lexerAction = self.lexerActionFactory(actionType, data1, data2) + atn.lexerActions[i] = lexerAction + + def generateRuleBypassTransitions(self, atn:ATN): + + count = len(atn.ruleToStartState) + atn.ruleToTokenType = [ 0 ] * count + for i in range(0, count): + atn.ruleToTokenType[i] = atn.maxTokenType + i + 1 + + for i in range(0, count): + self.generateRuleBypassTransition(atn, i) + + def generateRuleBypassTransition(self, atn:ATN, idx:int): + + bypassStart = BasicBlockStartState() + bypassStart.ruleIndex = idx + atn.addState(bypassStart) + + bypassStop = BlockEndState() + bypassStop.ruleIndex = idx + atn.addState(bypassStop) + + bypassStart.endState = bypassStop + atn.defineDecisionState(bypassStart) + + bypassStop.startState = bypassStart + + excludeTransition = None + + if atn.ruleToStartState[idx].isPrecedenceRule: + # wrap from the beginning of the rule to the StarLoopEntryState + endState = None + for state in atn.states: + if self.stateIsEndStateFor(state, idx): + endState = state + excludeTransition = state.loopBackState.transitions[0] + break + + if excludeTransition is None: + raise Exception("Couldn't identify final state of the precedence rule prefix section.") + + else: + + endState = atn.ruleToStopState[idx] + + # all non-excluded transitions that currently target end state need to target blockEnd instead + for state in atn.states: + for transition in state.transitions: + if transition == excludeTransition: + continue + if transition.target == endState: + transition.target = bypassStop + + # all transitions leaving the rule start state need to leave blockStart instead + ruleToStartState = atn.ruleToStartState[idx] + count = len(ruleToStartState.transitions) + while count > 0: + bypassStart.addTransition(ruleToStartState.transitions[count-1]) + del ruleToStartState.transitions[-1] + + # link the new states + atn.ruleToStartState[idx].addTransition(EpsilonTransition(bypassStart)) + bypassStop.addTransition(EpsilonTransition(endState)) + + matchState = BasicState() + atn.addState(matchState) + matchState.addTransition(AtomTransition(bypassStop, atn.ruleToTokenType[idx])) + bypassStart.addTransition(EpsilonTransition(matchState)) + + + def stateIsEndStateFor(self, state:ATNState, idx:int): + if state.ruleIndex != idx: + return None + if not isinstance(state, StarLoopEntryState): + return None + + maybeLoopEndState = state.transitions[len(state.transitions) - 1].target + if not isinstance(maybeLoopEndState, LoopEndState): + return None + + if maybeLoopEndState.epsilonOnlyTransitions and \ + isinstance(maybeLoopEndState.transitions[0].target, RuleStopState): + return state + else: + return None + + + # + # Analyze the {@link StarLoopEntryState} states in the specified ATN to set + # the {@link StarLoopEntryState#isPrecedenceDecision} field to the + # correct value. + # + # @param atn The ATN. + # + def markPrecedenceDecisions(self, atn:ATN): + for state in atn.states: + if not isinstance(state, StarLoopEntryState): + continue + + # We analyze the ATN to determine if this ATN decision state is the + # decision for the closure block that determines whether a + # precedence rule should continue or complete. + # + if atn.ruleToStartState[state.ruleIndex].isPrecedenceRule: + maybeLoopEndState = state.transitions[len(state.transitions) - 1].target + if isinstance(maybeLoopEndState, LoopEndState): + if maybeLoopEndState.epsilonOnlyTransitions and \ + isinstance(maybeLoopEndState.transitions[0].target, RuleStopState): + state.isPrecedenceDecision = True + + def verifyATN(self, atn:ATN): + if not self.deserializationOptions.verifyATN: + return + # verify assumptions + for state in atn.states: + if state is None: + continue + + self.checkCondition(state.epsilonOnlyTransitions or len(state.transitions) <= 1) + + if isinstance(state, PlusBlockStartState): + self.checkCondition(state.loopBackState is not None) + + if isinstance(state, StarLoopEntryState): + self.checkCondition(state.loopBackState is not None) + self.checkCondition(len(state.transitions) == 2) + + if isinstance(state.transitions[0].target, StarBlockStartState): + self.checkCondition(isinstance(state.transitions[1].target, LoopEndState)) + self.checkCondition(not state.nonGreedy) + elif isinstance(state.transitions[0].target, LoopEndState): + self.checkCondition(isinstance(state.transitions[1].target, StarBlockStartState)) + self.checkCondition(state.nonGreedy) + else: + raise Exception("IllegalState") + + if isinstance(state, StarLoopbackState): + self.checkCondition(len(state.transitions) == 1) + self.checkCondition(isinstance(state.transitions[0].target, StarLoopEntryState)) + + if isinstance(state, LoopEndState): + self.checkCondition(state.loopBackState is not None) + + if isinstance(state, RuleStartState): + self.checkCondition(state.stopState is not None) + + if isinstance(state, BlockStartState): + self.checkCondition(state.endState is not None) + + if isinstance(state, BlockEndState): + self.checkCondition(state.startState is not None) + + if isinstance(state, DecisionState): + self.checkCondition(len(state.transitions) <= 1 or state.decision >= 0) + else: + self.checkCondition(len(state.transitions) <= 1 or isinstance(state, RuleStopState)) + + def checkCondition(self, condition:bool, message=None): + if not condition: + if message is None: + message = "IllegalState" + raise Exception(message) + + def readInt(self): + i = self.data[self.pos] + self.pos += 1 + return i + + def readInt32(self): + low = self.readInt() + high = self.readInt() + return low | (high << 16) + + def readLong(self): + low = self.readInt32() + high = self.readInt32() + return (low & 0x00000000FFFFFFFF) | (high << 32) + + def readUUID(self): + low = self.readLong() + high = self.readLong() + allBits = (low & 0xFFFFFFFFFFFFFFFF) | (high << 64) + return UUID(int=allBits) + + edgeFactories = [ lambda args : None, + lambda atn, src, trg, arg1, arg2, arg3, sets, target : EpsilonTransition(target), + lambda atn, src, trg, arg1, arg2, arg3, sets, target : \ + RangeTransition(target, Token.EOF, arg2) if arg3 != 0 else RangeTransition(target, arg1, arg2), + lambda atn, src, trg, arg1, arg2, arg3, sets, target : \ + RuleTransition(atn.states[arg1], arg2, arg3, target), + lambda atn, src, trg, arg1, arg2, arg3, sets, target : \ + PredicateTransition(target, arg1, arg2, arg3 != 0), + lambda atn, src, trg, arg1, arg2, arg3, sets, target : \ + AtomTransition(target, Token.EOF) if arg3 != 0 else AtomTransition(target, arg1), + lambda atn, src, trg, arg1, arg2, arg3, sets, target : \ + ActionTransition(target, arg1, arg2, arg3 != 0), + lambda atn, src, trg, arg1, arg2, arg3, sets, target : \ + SetTransition(target, sets[arg1]), + lambda atn, src, trg, arg1, arg2, arg3, sets, target : \ + NotSetTransition(target, sets[arg1]), + lambda atn, src, trg, arg1, arg2, arg3, sets, target : \ + WildcardTransition(target), + lambda atn, src, trg, arg1, arg2, arg3, sets, target : \ + PrecedencePredicateTransition(target, arg1) + ] + + def edgeFactory(self, atn:ATN, type:int, src:int, trg:int, arg1:int, arg2:int, arg3:int, sets:list): + target = atn.states[trg] + if type > len(self.edgeFactories) or self.edgeFactories[type] is None: + raise Exception("The specified transition type: " + str(type) + " is not valid.") + else: + return self.edgeFactories[type](atn, src, trg, arg1, arg2, arg3, sets, target) + + stateFactories = [ lambda : None, + lambda : BasicState(), + lambda : RuleStartState(), + lambda : BasicBlockStartState(), + lambda : PlusBlockStartState(), + lambda : StarBlockStartState(), + lambda : TokensStartState(), + lambda : RuleStopState(), + lambda : BlockEndState(), + lambda : StarLoopbackState(), + lambda : StarLoopEntryState(), + lambda : PlusLoopbackState(), + lambda : LoopEndState() + ] + + def stateFactory(self, type:int, ruleIndex:int): + if type> len(self.stateFactories) or self.stateFactories[type] is None: + raise Exception("The specified state type " + str(type) + " is not valid.") + else: + s = self.stateFactories[type]() + if s is not None: + s.ruleIndex = ruleIndex + return s + + CHANNEL = 0 #The type of a {@link LexerChannelAction} action. + CUSTOM = 1 #The type of a {@link LexerCustomAction} action. + MODE = 2 #The type of a {@link LexerModeAction} action. + MORE = 3 #The type of a {@link LexerMoreAction} action. + POP_MODE = 4 #The type of a {@link LexerPopModeAction} action. + PUSH_MODE = 5 #The type of a {@link LexerPushModeAction} action. + SKIP = 6 #The type of a {@link LexerSkipAction} action. + TYPE = 7 #The type of a {@link LexerTypeAction} action. + + actionFactories = [ lambda data1, data2: LexerChannelAction(data1), + lambda data1, data2: LexerCustomAction(data1, data2), + lambda data1, data2: LexerModeAction(data1), + lambda data1, data2: LexerMoreAction.INSTANCE, + lambda data1, data2: LexerPopModeAction.INSTANCE, + lambda data1, data2: LexerPushModeAction(data1), + lambda data1, data2: LexerSkipAction.INSTANCE, + lambda data1, data2: LexerTypeAction(data1) + ] + + def lexerActionFactory(self, type:int, data1:int, data2:int): + + if type > len(self.actionFactories) or self.actionFactories[type] is None: + raise Exception("The specified lexer action type " + str(type) + " is not valid.") + else: + return self.actionFactories[type](data1, data2) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNSimulator.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNSimulator.py new file mode 100644 index 0000000000000000000000000000000000000000..4f6f53f488fa2b731fb39ceecf350b0cb43d1c39 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNSimulator.py @@ -0,0 +1,47 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ +from antlr4.PredictionContext import PredictionContextCache, PredictionContext, getCachedPredictionContext +from antlr4.atn.ATN import ATN +from antlr4.atn.ATNConfigSet import ATNConfigSet +from antlr4.dfa.DFAState import DFAState + + +class ATNSimulator(object): + __slots__ = ('atn', 'sharedContextCache', '__dict__') + + # Must distinguish between missing edge and edge we know leads nowhere#/ + ERROR = DFAState(configs=ATNConfigSet()) + ERROR.stateNumber = 0x7FFFFFFF + + # The context cache maps all PredictionContext objects that are == + # to a single cached copy. This cache is shared across all contexts + # in all ATNConfigs in all DFA states. We rebuild each ATNConfigSet + # to use only cached nodes/graphs in addDFAState(). We don't want to + # fill this during closure() since there are lots of contexts that + # pop up but are not used ever again. It also greatly slows down closure(). + # + #

        This cache makes a huge difference in memory and a little bit in speed. + # For the Java grammar on java.*, it dropped the memory requirements + # at the end from 25M to 16M. We don't store any of the full context + # graphs in the DFA because they are limited to local context only, + # but apparently there's a lot of repetition there as well. We optimize + # the config contexts before storing the config set in the DFA states + # by literally rebuilding them with cached subgraphs only.

        + # + #

        I tried a cache for use during closure operations, that was + # whacked after each adaptivePredict(). It cost a little bit + # more time I think and doesn't save on the overall footprint + # so it's not worth the complexity.

        + #/ + def __init__(self, atn:ATN, sharedContextCache:PredictionContextCache): + self.atn = atn + self.sharedContextCache = sharedContextCache + + def getCachedContext(self, context:PredictionContext): + if self.sharedContextCache is None: + return context + visited = dict() + return getCachedPredictionContext(context, self.sharedContextCache, visited) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNState.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNState.py new file mode 100644 index 0000000000000000000000000000000000000000..fbf6a7b9442905c992bb1a88ce343a8a9d63f5b7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNState.py @@ -0,0 +1,264 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# The following images show the relation of states and +# {@link ATNState#transitions} for various grammar constructs. +# +#
          +# +#
        • Solid edges marked with an ε indicate a required +# {@link EpsilonTransition}.
          • +# +#
        • Dashed edges indicate locations where any transition derived from +# {@link Transition} might appear.
          • +# +#
        • Dashed nodes are place holders for either a sequence of linked +# {@link BasicState} states or the inclusion of a block representing a nested +# construct in one of the forms below.
          • +# +#
        • Nodes showing multiple outgoing alternatives with a {@code ...} support +# any number of alternatives (one or more). Nodes without the {@code ...} only +# support the exact number of alternatives shown in the diagram.
          • +# +#
        +# +#

        Basic Blocks

        +# +#

        Rule

        +# +# +# +#

        Block of 1 or more alternatives

        +# +# +# +#

        Greedy Loops

        +# +#

        Greedy Closure: {@code (...)*}

        +# +# +# +#

        Greedy Positive Closure: {@code (...)+}

        +# +# +# +#

        Greedy Optional: {@code (...)?}

        +# +# +# +#

        Non-Greedy Loops

        +# +#

        Non-Greedy Closure: {@code (...)*?}

        +# +# +# +#

        Non-Greedy Positive Closure: {@code (...)+?}

        +# +# +# +#

        Non-Greedy Optional: {@code (...)??}

        +# +# +# + +from antlr4.atn.Transition import Transition + +INITIAL_NUM_TRANSITIONS = 4 + +class ATNState(object): + __slots__ = ( + 'atn', 'stateNumber', 'stateType', 'ruleIndex', 'epsilonOnlyTransitions', + 'transitions', 'nextTokenWithinRule', + ) + + # constants for serialization + INVALID_TYPE = 0 + BASIC = 1 + RULE_START = 2 + BLOCK_START = 3 + PLUS_BLOCK_START = 4 + STAR_BLOCK_START = 5 + TOKEN_START = 6 + RULE_STOP = 7 + BLOCK_END = 8 + STAR_LOOP_BACK = 9 + STAR_LOOP_ENTRY = 10 + PLUS_LOOP_BACK = 11 + LOOP_END = 12 + + serializationNames = [ + "INVALID", + "BASIC", + "RULE_START", + "BLOCK_START", + "PLUS_BLOCK_START", + "STAR_BLOCK_START", + "TOKEN_START", + "RULE_STOP", + "BLOCK_END", + "STAR_LOOP_BACK", + "STAR_LOOP_ENTRY", + "PLUS_LOOP_BACK", + "LOOP_END" ] + + INVALID_STATE_NUMBER = -1 + + def __init__(self): + # Which ATN are we in? + self.atn = None + self.stateNumber = ATNState.INVALID_STATE_NUMBER + self.stateType = None + self.ruleIndex = 0 # at runtime, we don't have Rule objects + self.epsilonOnlyTransitions = False + # Track the transitions emanating from this ATN state. + self.transitions = [] + # Used to cache lookahead during parsing, not used during construction + self.nextTokenWithinRule = None + + def __hash__(self): + return self.stateNumber + + def __eq__(self, other): + return isinstance(other, ATNState) and self.stateNumber==other.stateNumber + + def onlyHasEpsilonTransitions(self): + return self.epsilonOnlyTransitions + + def isNonGreedyExitState(self): + return False + + def __str__(self): + return str(self.stateNumber) + + def addTransition(self, trans:Transition, index:int=-1): + if len(self.transitions)==0: + self.epsilonOnlyTransitions = trans.isEpsilon + elif self.epsilonOnlyTransitions != trans.isEpsilon: + self.epsilonOnlyTransitions = False + # TODO System.err.format(Locale.getDefault(), "ATN state %d has both epsilon and non-epsilon transitions.\n", stateNumber); + if index==-1: + self.transitions.append(trans) + else: + self.transitions.insert(index, trans) + +class BasicState(ATNState): + + def __init__(self): + super().__init__() + self.stateType = self.BASIC + + +class DecisionState(ATNState): + __slots__ = ('decision', 'nonGreedy') + def __init__(self): + super().__init__() + self.decision = -1 + self.nonGreedy = False + +# The start of a regular {@code (...)} block. +class BlockStartState(DecisionState): + __slots__ = 'endState' + + def __init__(self): + super().__init__() + self.endState = None + +class BasicBlockStartState(BlockStartState): + + def __init__(self): + super().__init__() + self.stateType = self.BLOCK_START + +# Terminal node of a simple {@code (a|b|c)} block. +class BlockEndState(ATNState): + __slots__ = 'startState' + + def __init__(self): + super().__init__() + self.stateType = self.BLOCK_END + self.startState = None + +# The last node in the ATN for a rule, unless that rule is the start symbol. +# In that case, there is one transition to EOF. Later, we might encode +# references to all calls to this rule to compute FOLLOW sets for +# error handling. +# +class RuleStopState(ATNState): + + def __init__(self): + super().__init__() + self.stateType = self.RULE_STOP + +class RuleStartState(ATNState): + __slots__ = ('stopState', 'isPrecedenceRule') + + def __init__(self): + super().__init__() + self.stateType = self.RULE_START + self.stopState = None + self.isPrecedenceRule = False + +# Decision state for {@code A+} and {@code (A|B)+}. It has two transitions: +# one to the loop back to start of the block and one to exit. +# +class PlusLoopbackState(DecisionState): + + def __init__(self): + super().__init__() + self.stateType = self.PLUS_LOOP_BACK + +# Start of {@code (A|B|...)+} loop. Technically a decision state, but +# we don't use for code generation; somebody might need it, so I'm defining +# it for completeness. In reality, the {@link PlusLoopbackState} node is the +# real decision-making note for {@code A+}. +# +class PlusBlockStartState(BlockStartState): + __slots__ = 'loopBackState' + + def __init__(self): + super().__init__() + self.stateType = self.PLUS_BLOCK_START + self.loopBackState = None + +# The block that begins a closure loop. +class StarBlockStartState(BlockStartState): + + def __init__(self): + super().__init__() + self.stateType = self.STAR_BLOCK_START + +class StarLoopbackState(ATNState): + + def __init__(self): + super().__init__() + self.stateType = self.STAR_LOOP_BACK + + +class StarLoopEntryState(DecisionState): + __slots__ = ('loopBackState', 'isPrecedenceDecision') + + def __init__(self): + super().__init__() + self.stateType = self.STAR_LOOP_ENTRY + self.loopBackState = None + # Indicates whether this state can benefit from a precedence DFA during SLL decision making. + self.isPrecedenceDecision = None + +# Mark the end of a * or + loop. +class LoopEndState(ATNState): + __slots__ = 'loopBackState' + + def __init__(self): + super().__init__() + self.stateType = self.LOOP_END + self.loopBackState = None + +# The Tokens rule start state linking to each lexer rule start state */ +class TokensStartState(DecisionState): + + def __init__(self): + super().__init__() + self.stateType = self.TOKEN_START diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNType.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNType.py new file mode 100644 index 0000000000000000000000000000000000000000..cc0d4d925c6babee1caeee08f5e32fe4a1d6d0d4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ATNType.py @@ -0,0 +1,17 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ + +from enum import IntEnum + +# Represents the type of recognizer an ATN applies to. + +class ATNType(IntEnum): + + LEXER = 0 + PARSER = 1 + + @classmethod + def fromOrdinal(cls, i:int): + return cls._value2member_map_[i] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/LexerATNSimulator.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/LexerATNSimulator.py new file mode 100644 index 0000000000000000000000000000000000000000..71201ff5f989820d340aac8672ab31db8579b55c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/LexerATNSimulator.py @@ -0,0 +1,570 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ + +# When we hit an accept state in either the DFA or the ATN, we +# have to notify the character stream to start buffering characters +# via {@link IntStream#mark} and record the current state. The current sim state +# includes the current index into the input, the current line, +# and current character position in that line. Note that the Lexer is +# tracking the starting line and characterization of the token. These +# variables track the "state" of the simulator when it hits an accept state. +# +#

        We track these variables separately for the DFA and ATN simulation +# because the DFA simulation often has to fail over to the ATN +# simulation. If the ATN simulation fails, we need the DFA to fall +# back to its previously accepted state, if any. If the ATN succeeds, +# then the ATN does the accept and the DFA simulator that invoked it +# can simply return the predicted token type.

        +#/ + +from antlr4.PredictionContext import PredictionContextCache, SingletonPredictionContext, PredictionContext +from antlr4.InputStream import InputStream +from antlr4.Token import Token +from antlr4.atn.ATN import ATN +from antlr4.atn.ATNConfig import LexerATNConfig +from antlr4.atn.ATNSimulator import ATNSimulator +from antlr4.atn.ATNConfigSet import ATNConfigSet, OrderedATNConfigSet +from antlr4.atn.ATNState import RuleStopState, ATNState +from antlr4.atn.LexerActionExecutor import LexerActionExecutor +from antlr4.atn.Transition import Transition +from antlr4.dfa.DFAState import DFAState +from antlr4.error.Errors import LexerNoViableAltException, UnsupportedOperationException + +class SimState(object): + __slots__ = ('index', 'line', 'column', 'dfaState') + + def __init__(self): + self.reset() + + def reset(self): + self.index = -1 + self.line = 0 + self.column = -1 + self.dfaState = None + +# need forward declaration +Lexer = None +LexerATNSimulator = None + +class LexerATNSimulator(ATNSimulator): + __slots__ = ( + 'decisionToDFA', 'recog', 'startIndex', 'line', 'column', 'mode', + 'DEFAULT_MODE', 'MAX_CHAR_VALUE', 'prevAccept' + ) + + debug = False + dfa_debug = False + + MIN_DFA_EDGE = 0 + MAX_DFA_EDGE = 127 # forces unicode to stay in ATN + + ERROR = None + + def __init__(self, recog:Lexer, atn:ATN, decisionToDFA:list, sharedContextCache:PredictionContextCache): + super().__init__(atn, sharedContextCache) + self.decisionToDFA = decisionToDFA + self.recog = recog + # The current token's starting index into the character stream. + # Shared across DFA to ATN simulation in case the ATN fails and the + # DFA did not have a previous accept state. In this case, we use the + # ATN-generated exception object. + self.startIndex = -1 + # line number 1..n within the input#/ + self.line = 1 + # The index of the character relative to the beginning of the line 0..n-1#/ + self.column = 0 + from antlr4.Lexer import Lexer + self.mode = Lexer.DEFAULT_MODE + # Cache Lexer properties to avoid further imports + self.DEFAULT_MODE = Lexer.DEFAULT_MODE + self.MAX_CHAR_VALUE = Lexer.MAX_CHAR_VALUE + # Used during DFA/ATN exec to record the most recent accept configuration info + self.prevAccept = SimState() + + + def copyState(self, simulator:LexerATNSimulator ): + self.column = simulator.column + self.line = simulator.line + self.mode = simulator.mode + self.startIndex = simulator.startIndex + + def match(self, input:InputStream , mode:int): + self.mode = mode + mark = input.mark() + try: + self.startIndex = input.index + self.prevAccept.reset() + dfa = self.decisionToDFA[mode] + if dfa.s0 is None: + return self.matchATN(input) + else: + return self.execATN(input, dfa.s0) + finally: + input.release(mark) + + def reset(self): + self.prevAccept.reset() + self.startIndex = -1 + self.line = 1 + self.column = 0 + self.mode = self.DEFAULT_MODE + + def matchATN(self, input:InputStream): + startState = self.atn.modeToStartState[self.mode] + + if LexerATNSimulator.debug: + print("matchATN mode " + str(self.mode) + " start: " + str(startState)) + + old_mode = self.mode + s0_closure = self.computeStartState(input, startState) + suppressEdge = s0_closure.hasSemanticContext + s0_closure.hasSemanticContext = False + + next = self.addDFAState(s0_closure) + if not suppressEdge: + self.decisionToDFA[self.mode].s0 = next + + predict = self.execATN(input, next) + + if LexerATNSimulator.debug: + print("DFA after matchATN: " + str(self.decisionToDFA[old_mode].toLexerString())) + + return predict + + def execATN(self, input:InputStream, ds0:DFAState): + if LexerATNSimulator.debug: + print("start state closure=" + str(ds0.configs)) + + if ds0.isAcceptState: + # allow zero-length tokens + self.captureSimState(self.prevAccept, input, ds0) + + t = input.LA(1) + s = ds0 # s is current/from DFA state + + while True: # while more work + if LexerATNSimulator.debug: + print("execATN loop starting closure:", str(s.configs)) + + # As we move src->trg, src->trg, we keep track of the previous trg to + # avoid looking up the DFA state again, which is expensive. + # If the previous target was already part of the DFA, we might + # be able to avoid doing a reach operation upon t. If s!=null, + # it means that semantic predicates didn't prevent us from + # creating a DFA state. Once we know s!=null, we check to see if + # the DFA state has an edge already for t. If so, we can just reuse + # it's configuration set; there's no point in re-computing it. + # This is kind of like doing DFA simulation within the ATN + # simulation because DFA simulation is really just a way to avoid + # computing reach/closure sets. Technically, once we know that + # we have a previously added DFA state, we could jump over to + # the DFA simulator. But, that would mean popping back and forth + # a lot and making things more complicated algorithmically. + # This optimization makes a lot of sense for loops within DFA. + # A character will take us back to an existing DFA state + # that already has lots of edges out of it. e.g., .* in comments. + # print("Target for:" + str(s) + " and:" + str(t)) + target = self.getExistingTargetState(s, t) + # print("Existing:" + str(target)) + if target is None: + target = self.computeTargetState(input, s, t) + # print("Computed:" + str(target)) + + if target == self.ERROR: + break + + # If this is a consumable input element, make sure to consume before + # capturing the accept state so the input index, line, and char + # position accurately reflect the state of the interpreter at the + # end of the token. + if t != Token.EOF: + self.consume(input) + + if target.isAcceptState: + self.captureSimState(self.prevAccept, input, target) + if t == Token.EOF: + break + + t = input.LA(1) + + s = target # flip; current DFA target becomes new src/from state + + return self.failOrAccept(self.prevAccept, input, s.configs, t) + + # Get an existing target state for an edge in the DFA. If the target state + # for the edge has not yet been computed or is otherwise not available, + # this method returns {@code null}. + # + # @param s The current DFA state + # @param t The next input symbol + # @return The existing target DFA state for the given input symbol + # {@code t}, or {@code null} if the target state for this edge is not + # already cached + def getExistingTargetState(self, s:DFAState, t:int): + if s.edges is None or t < self.MIN_DFA_EDGE or t > self.MAX_DFA_EDGE: + return None + + target = s.edges[t - self.MIN_DFA_EDGE] + if LexerATNSimulator.debug and target is not None: + print("reuse state", str(s.stateNumber), "edge to", str(target.stateNumber)) + + return target + + # Compute a target state for an edge in the DFA, and attempt to add the + # computed state and corresponding edge to the DFA. + # + # @param input The input stream + # @param s The current DFA state + # @param t The next input symbol + # + # @return The computed target DFA state for the given input symbol + # {@code t}. If {@code t} does not lead to a valid DFA state, this method + # returns {@link #ERROR}. + def computeTargetState(self, input:InputStream, s:DFAState, t:int): + reach = OrderedATNConfigSet() + + # if we don't find an existing DFA state + # Fill reach starting from closure, following t transitions + self.getReachableConfigSet(input, s.configs, reach, t) + + if len(reach)==0: # we got nowhere on t from s + if not reach.hasSemanticContext: + # we got nowhere on t, don't throw out this knowledge; it'd + # cause a failover from DFA later. + self. addDFAEdge(s, t, self.ERROR) + + # stop when we can't match any more char + return self.ERROR + + # Add an edge from s to target DFA found/created for reach + return self.addDFAEdge(s, t, cfgs=reach) + + def failOrAccept(self, prevAccept:SimState , input:InputStream, reach:ATNConfigSet, t:int): + if self.prevAccept.dfaState is not None: + lexerActionExecutor = prevAccept.dfaState.lexerActionExecutor + self.accept(input, lexerActionExecutor, self.startIndex, prevAccept.index, prevAccept.line, prevAccept.column) + return prevAccept.dfaState.prediction + else: + # if no accept and EOF is first char, return EOF + if t==Token.EOF and input.index==self.startIndex: + return Token.EOF + raise LexerNoViableAltException(self.recog, input, self.startIndex, reach) + + # Given a starting configuration set, figure out all ATN configurations + # we can reach upon input {@code t}. Parameter {@code reach} is a return + # parameter. + def getReachableConfigSet(self, input:InputStream, closure:ATNConfigSet, reach:ATNConfigSet, t:int): + # this is used to skip processing for configs which have a lower priority + # than a config that already reached an accept state for the same rule + skipAlt = ATN.INVALID_ALT_NUMBER + for cfg in closure: + currentAltReachedAcceptState = ( cfg.alt == skipAlt ) + if currentAltReachedAcceptState and cfg.passedThroughNonGreedyDecision: + continue + + if LexerATNSimulator.debug: + print("testing", self.getTokenName(t), "at", str(cfg)) + + for trans in cfg.state.transitions: # for each transition + target = self.getReachableTarget(trans, t) + if target is not None: + lexerActionExecutor = cfg.lexerActionExecutor + if lexerActionExecutor is not None: + lexerActionExecutor = lexerActionExecutor.fixOffsetBeforeMatch(input.index - self.startIndex) + + treatEofAsEpsilon = (t == Token.EOF) + config = LexerATNConfig(state=target, lexerActionExecutor=lexerActionExecutor, config=cfg) + if self.closure(input, config, reach, currentAltReachedAcceptState, True, treatEofAsEpsilon): + # any remaining configs for this alt have a lower priority than + # the one that just reached an accept state. + skipAlt = cfg.alt + + def accept(self, input:InputStream, lexerActionExecutor:LexerActionExecutor, startIndex:int, index:int, line:int, charPos:int): + if LexerATNSimulator.debug: + print("ACTION", lexerActionExecutor) + + # seek to after last char in token + input.seek(index) + self.line = line + self.column = charPos + + if lexerActionExecutor is not None and self.recog is not None: + lexerActionExecutor.execute(self.recog, input, startIndex) + + def getReachableTarget(self, trans:Transition, t:int): + if trans.matches(t, 0, self.MAX_CHAR_VALUE): + return trans.target + else: + return None + + def computeStartState(self, input:InputStream, p:ATNState): + initialContext = PredictionContext.EMPTY + configs = OrderedATNConfigSet() + for i in range(0,len(p.transitions)): + target = p.transitions[i].target + c = LexerATNConfig(state=target, alt=i+1, context=initialContext) + self.closure(input, c, configs, False, False, False) + return configs + + # Since the alternatives within any lexer decision are ordered by + # preference, this method stops pursuing the closure as soon as an accept + # state is reached. After the first accept state is reached by depth-first + # search from {@code config}, all other (potentially reachable) states for + # this rule would have a lower priority. + # + # @return {@code true} if an accept state is reached, otherwise + # {@code false}. + def closure(self, input:InputStream, config:LexerATNConfig, configs:ATNConfigSet, currentAltReachedAcceptState:bool, + speculative:bool, treatEofAsEpsilon:bool): + if LexerATNSimulator.debug: + print("closure(" + str(config) + ")") + + if isinstance( config.state, RuleStopState ): + if LexerATNSimulator.debug: + if self.recog is not None: + print("closure at", self.recog.symbolicNames[config.state.ruleIndex], "rule stop", str(config)) + else: + print("closure at rule stop", str(config)) + + if config.context is None or config.context.hasEmptyPath(): + if config.context is None or config.context.isEmpty(): + configs.add(config) + return True + else: + configs.add(LexerATNConfig(state=config.state, config=config, context=PredictionContext.EMPTY)) + currentAltReachedAcceptState = True + + if config.context is not None and not config.context.isEmpty(): + for i in range(0,len(config.context)): + if config.context.getReturnState(i) != PredictionContext.EMPTY_RETURN_STATE: + newContext = config.context.getParent(i) # "pop" return state + returnState = self.atn.states[config.context.getReturnState(i)] + c = LexerATNConfig(state=returnState, config=config, context=newContext) + currentAltReachedAcceptState = self.closure(input, c, configs, + currentAltReachedAcceptState, speculative, treatEofAsEpsilon) + + return currentAltReachedAcceptState + + # optimization + if not config.state.epsilonOnlyTransitions: + if not currentAltReachedAcceptState or not config.passedThroughNonGreedyDecision: + configs.add(config) + + for t in config.state.transitions: + c = self.getEpsilonTarget(input, config, t, configs, speculative, treatEofAsEpsilon) + if c is not None: + currentAltReachedAcceptState = self.closure(input, c, configs, currentAltReachedAcceptState, speculative, treatEofAsEpsilon) + + return currentAltReachedAcceptState + + # side-effect: can alter configs.hasSemanticContext + def getEpsilonTarget(self, input:InputStream, config:LexerATNConfig, t:Transition, configs:ATNConfigSet, + speculative:bool, treatEofAsEpsilon:bool): + c = None + if t.serializationType==Transition.RULE: + newContext = SingletonPredictionContext.create(config.context, t.followState.stateNumber) + c = LexerATNConfig(state=t.target, config=config, context=newContext) + + elif t.serializationType==Transition.PRECEDENCE: + raise UnsupportedOperationException("Precedence predicates are not supported in lexers.") + + elif t.serializationType==Transition.PREDICATE: + # Track traversing semantic predicates. If we traverse, + # we cannot add a DFA state for this "reach" computation + # because the DFA would not test the predicate again in the + # future. Rather than creating collections of semantic predicates + # like v3 and testing them on prediction, v4 will test them on the + # fly all the time using the ATN not the DFA. This is slower but + # semantically it's not used that often. One of the key elements to + # this predicate mechanism is not adding DFA states that see + # predicates immediately afterwards in the ATN. For example, + + # a : ID {p1}? | ID {p2}? ; + + # should create the start state for rule 'a' (to save start state + # competition), but should not create target of ID state. The + # collection of ATN states the following ID references includes + # states reached by traversing predicates. Since this is when we + # test them, we cannot cash the DFA state target of ID. + + if LexerATNSimulator.debug: + print("EVAL rule "+ str(t.ruleIndex) + ":" + str(t.predIndex)) + configs.hasSemanticContext = True + if self.evaluatePredicate(input, t.ruleIndex, t.predIndex, speculative): + c = LexerATNConfig(state=t.target, config=config) + + elif t.serializationType==Transition.ACTION: + if config.context is None or config.context.hasEmptyPath(): + # execute actions anywhere in the start rule for a token. + # + # TODO: if the entry rule is invoked recursively, some + # actions may be executed during the recursive call. The + # problem can appear when hasEmptyPath() is true but + # isEmpty() is false. In this case, the config needs to be + # split into two contexts - one with just the empty path + # and another with everything but the empty path. + # Unfortunately, the current algorithm does not allow + # getEpsilonTarget to return two configurations, so + # additional modifications are needed before we can support + # the split operation. + lexerActionExecutor = LexerActionExecutor.append(config.lexerActionExecutor, + self.atn.lexerActions[t.actionIndex]) + c = LexerATNConfig(state=t.target, config=config, lexerActionExecutor=lexerActionExecutor) + + else: + # ignore actions in referenced rules + c = LexerATNConfig(state=t.target, config=config) + + elif t.serializationType==Transition.EPSILON: + c = LexerATNConfig(state=t.target, config=config) + + elif t.serializationType in [ Transition.ATOM, Transition.RANGE, Transition.SET ]: + if treatEofAsEpsilon: + if t.matches(Token.EOF, 0, self.MAX_CHAR_VALUE): + c = LexerATNConfig(state=t.target, config=config) + + return c + + # Evaluate a predicate specified in the lexer. + # + #

        If {@code speculative} is {@code true}, this method was called before + # {@link #consume} for the matched character. This method should call + # {@link #consume} before evaluating the predicate to ensure position + # sensitive values, including {@link Lexer#getText}, {@link Lexer#getLine}, + # and {@link Lexer#getcolumn}, properly reflect the current + # lexer state. This method should restore {@code input} and the simulator + # to the original state before returning (i.e. undo the actions made by the + # call to {@link #consume}.

        + # + # @param input The input stream. + # @param ruleIndex The rule containing the predicate. + # @param predIndex The index of the predicate within the rule. + # @param speculative {@code true} if the current index in {@code input} is + # one character before the predicate's location. + # + # @return {@code true} if the specified predicate evaluates to + # {@code true}. + #/ + def evaluatePredicate(self, input:InputStream, ruleIndex:int, predIndex:int, speculative:bool): + # assume true if no recognizer was provided + if self.recog is None: + return True + + if not speculative: + return self.recog.sempred(None, ruleIndex, predIndex) + + savedcolumn = self.column + savedLine = self.line + index = input.index + marker = input.mark() + try: + self.consume(input) + return self.recog.sempred(None, ruleIndex, predIndex) + finally: + self.column = savedcolumn + self.line = savedLine + input.seek(index) + input.release(marker) + + def captureSimState(self, settings:SimState, input:InputStream, dfaState:DFAState): + settings.index = input.index + settings.line = self.line + settings.column = self.column + settings.dfaState = dfaState + + def addDFAEdge(self, from_:DFAState, tk:int, to:DFAState=None, cfgs:ATNConfigSet=None) -> DFAState: + + if to is None and cfgs is not None: + # leading to this call, ATNConfigSet.hasSemanticContext is used as a + # marker indicating dynamic predicate evaluation makes this edge + # dependent on the specific input sequence, so the static edge in the + # DFA should be omitted. The target DFAState is still created since + # execATN has the ability to resynchronize with the DFA state cache + # following the predicate evaluation step. + # + # TJP notes: next time through the DFA, we see a pred again and eval. + # If that gets us to a previously created (but dangling) DFA + # state, we can continue in pure DFA mode from there. + #/ + suppressEdge = cfgs.hasSemanticContext + cfgs.hasSemanticContext = False + + to = self.addDFAState(cfgs) + + if suppressEdge: + return to + + # add the edge + if tk < self.MIN_DFA_EDGE or tk > self.MAX_DFA_EDGE: + # Only track edges within the DFA bounds + return to + + if LexerATNSimulator.debug: + print("EDGE " + str(from_) + " -> " + str(to) + " upon "+ chr(tk)) + + if from_.edges is None: + # make room for tokens 1..n and -1 masquerading as index 0 + from_.edges = [ None ] * (self.MAX_DFA_EDGE - self.MIN_DFA_EDGE + 1) + + from_.edges[tk - self.MIN_DFA_EDGE] = to # connect + + return to + + + # Add a new DFA state if there isn't one with this set of + # configurations already. This method also detects the first + # configuration containing an ATN rule stop state. Later, when + # traversing the DFA, we will know which rule to accept. + def addDFAState(self, configs:ATNConfigSet) -> DFAState: + + proposed = DFAState(configs=configs) + firstConfigWithRuleStopState = next((cfg for cfg in configs if isinstance(cfg.state, RuleStopState)), None) + + if firstConfigWithRuleStopState is not None: + proposed.isAcceptState = True + proposed.lexerActionExecutor = firstConfigWithRuleStopState.lexerActionExecutor + proposed.prediction = self.atn.ruleToTokenType[firstConfigWithRuleStopState.state.ruleIndex] + + dfa = self.decisionToDFA[self.mode] + existing = dfa.states.get(proposed, None) + if existing is not None: + return existing + + newState = proposed + + newState.stateNumber = len(dfa.states) + configs.setReadonly(True) + newState.configs = configs + dfa.states[newState] = newState + return newState + + def getDFA(self, mode:int): + return self.decisionToDFA[mode] + + # Get the text matched so far for the current token. + def getText(self, input:InputStream): + # index is first lookahead char, don't include. + return input.getText(self.startIndex, input.index-1) + + def consume(self, input:InputStream): + curChar = input.LA(1) + if curChar==ord('\n'): + self.line += 1 + self.column = 0 + else: + self.column += 1 + input.consume() + + def getTokenName(self, t:int): + if t==-1: + return "EOF" + else: + return "'" + chr(t) + "'" + + +LexerATNSimulator.ERROR = DFAState(0x7FFFFFFF, ATNConfigSet()) + +del Lexer diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/LexerAction.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/LexerAction.py new file mode 100644 index 0000000000000000000000000000000000000000..0fa7a895f31cea4415b71def30ca1ec90167f1b3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/LexerAction.py @@ -0,0 +1,298 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. + # + +from enum import IntEnum + +# need forward declaration +Lexer = None + + +class LexerActionType(IntEnum): + + CHANNEL = 0 #The type of a {@link LexerChannelAction} action. + CUSTOM = 1 #The type of a {@link LexerCustomAction} action. + MODE = 2 #The type of a {@link LexerModeAction} action. + MORE = 3 #The type of a {@link LexerMoreAction} action. + POP_MODE = 4 #The type of a {@link LexerPopModeAction} action. + PUSH_MODE = 5 #The type of a {@link LexerPushModeAction} action. + SKIP = 6 #The type of a {@link LexerSkipAction} action. + TYPE = 7 #The type of a {@link LexerTypeAction} action. + +class LexerAction(object): + __slots__ = ('actionType', 'isPositionDependent') + + def __init__(self, action:LexerActionType): + self.actionType = action + self.isPositionDependent = False + + def __hash__(self): + return hash(self.actionType) + + def __eq__(self, other): + return self is other + + +# +# Implements the {@code skip} lexer action by calling {@link Lexer#skip}. +# +#

        The {@code skip} command does not have any parameters, so this action is +# implemented as a singleton instance exposed by {@link #INSTANCE}.

        +class LexerSkipAction(LexerAction): + + # Provides a singleton instance of this parameterless lexer action. + INSTANCE = None + + def __init__(self): + super().__init__(LexerActionType.SKIP) + + def execute(self, lexer:Lexer): + lexer.skip() + + def __str__(self): + return "skip" + +LexerSkipAction.INSTANCE = LexerSkipAction() + +# Implements the {@code type} lexer action by calling {@link Lexer#setType} +# with the assigned type. +class LexerTypeAction(LexerAction): + __slots__ = 'type' + + def __init__(self, type:int): + super().__init__(LexerActionType.TYPE) + self.type = type + + def execute(self, lexer:Lexer): + lexer.type = self.type + + def __hash__(self): + return hash((self.actionType, self.type)) + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, LexerTypeAction): + return False + else: + return self.type == other.type + + def __str__(self): + return "type(" + str(self.type) + ")" + + +# Implements the {@code pushMode} lexer action by calling +# {@link Lexer#pushMode} with the assigned mode. +class LexerPushModeAction(LexerAction): + __slots__ = 'mode' + + def __init__(self, mode:int): + super().__init__(LexerActionType.PUSH_MODE) + self.mode = mode + + #

        This action is implemented by calling {@link Lexer#pushMode} with the + # value provided by {@link #getMode}.

        + def execute(self, lexer:Lexer): + lexer.pushMode(self.mode) + + def __hash__(self): + return hash((self.actionType, self.mode)) + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, LexerPushModeAction): + return False + else: + return self.mode == other.mode + + def __str__(self): + return "pushMode(" + str(self.mode) + ")" + + +# Implements the {@code popMode} lexer action by calling {@link Lexer#popMode}. +# +#

        The {@code popMode} command does not have any parameters, so this action is +# implemented as a singleton instance exposed by {@link #INSTANCE}.

        +class LexerPopModeAction(LexerAction): + + INSTANCE = None + + def __init__(self): + super().__init__(LexerActionType.POP_MODE) + + #

        This action is implemented by calling {@link Lexer#popMode}.

        + def execute(self, lexer:Lexer): + lexer.popMode() + + def __str__(self): + return "popMode" + +LexerPopModeAction.INSTANCE = LexerPopModeAction() + +# Implements the {@code more} lexer action by calling {@link Lexer#more}. +# +#

        The {@code more} command does not have any parameters, so this action is +# implemented as a singleton instance exposed by {@link #INSTANCE}.

        +class LexerMoreAction(LexerAction): + + INSTANCE = None + + def __init__(self): + super().__init__(LexerActionType.MORE) + + #

        This action is implemented by calling {@link Lexer#popMode}.

        + def execute(self, lexer:Lexer): + lexer.more() + + def __str__(self): + return "more" + +LexerMoreAction.INSTANCE = LexerMoreAction() + +# Implements the {@code mode} lexer action by calling {@link Lexer#mode} with +# the assigned mode. +class LexerModeAction(LexerAction): + __slots__ = 'mode' + + def __init__(self, mode:int): + super().__init__(LexerActionType.MODE) + self.mode = mode + + #

        This action is implemented by calling {@link Lexer#mode} with the + # value provided by {@link #getMode}.

        + def execute(self, lexer:Lexer): + lexer.mode(self.mode) + + def __hash__(self): + return hash((self.actionType, self.mode)) + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, LexerModeAction): + return False + else: + return self.mode == other.mode + + def __str__(self): + return "mode(" + str(self.mode) + ")" + +# Executes a custom lexer action by calling {@link Recognizer#action} with the +# rule and action indexes assigned to the custom action. The implementation of +# a custom action is added to the generated code for the lexer in an override +# of {@link Recognizer#action} when the grammar is compiled. +# +#

        This class may represent embedded actions created with the {...} +# syntax in ANTLR 4, as well as actions created for lexer commands where the +# command argument could not be evaluated when the grammar was compiled.

        + +class LexerCustomAction(LexerAction): + __slots__ = ('ruleIndex', 'actionIndex') + + # Constructs a custom lexer action with the specified rule and action + # indexes. + # + # @param ruleIndex The rule index to use for calls to + # {@link Recognizer#action}. + # @param actionIndex The action index to use for calls to + # {@link Recognizer#action}. + #/ + def __init__(self, ruleIndex:int, actionIndex:int): + super().__init__(LexerActionType.CUSTOM) + self.ruleIndex = ruleIndex + self.actionIndex = actionIndex + self.isPositionDependent = True + + #

        Custom actions are implemented by calling {@link Lexer#action} with the + # appropriate rule and action indexes.

        + def execute(self, lexer:Lexer): + lexer.action(None, self.ruleIndex, self.actionIndex) + + def __hash__(self): + return hash((self.actionType, self.ruleIndex, self.actionIndex)) + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, LexerCustomAction): + return False + else: + return self.ruleIndex == other.ruleIndex and self.actionIndex == other.actionIndex + +# Implements the {@code channel} lexer action by calling +# {@link Lexer#setChannel} with the assigned channel. +class LexerChannelAction(LexerAction): + __slots__ = 'channel' + + # Constructs a new {@code channel} action with the specified channel value. + # @param channel The channel value to pass to {@link Lexer#setChannel}. + def __init__(self, channel:int): + super().__init__(LexerActionType.CHANNEL) + self.channel = channel + + #

        This action is implemented by calling {@link Lexer#setChannel} with the + # value provided by {@link #getChannel}.

        + def execute(self, lexer:Lexer): + lexer._channel = self.channel + + def __hash__(self): + return hash((self.actionType, self.channel)) + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, LexerChannelAction): + return False + else: + return self.channel == other.channel + + def __str__(self): + return "channel(" + str(self.channel) + ")" + +# This implementation of {@link LexerAction} is used for tracking input offsets +# for position-dependent actions within a {@link LexerActionExecutor}. +# +#

        This action is not serialized as part of the ATN, and is only required for +# position-dependent lexer actions which appear at a location other than the +# end of a rule. For more information about DFA optimizations employed for +# lexer actions, see {@link LexerActionExecutor#append} and +# {@link LexerActionExecutor#fixOffsetBeforeMatch}.

        +class LexerIndexedCustomAction(LexerAction): + __slots__ = ('offset', 'action') + + # Constructs a new indexed custom action by associating a character offset + # with a {@link LexerAction}. + # + #

        Note: This class is only required for lexer actions for which + # {@link LexerAction#isPositionDependent} returns {@code true}.

        + # + # @param offset The offset into the input {@link CharStream}, relative to + # the token start index, at which the specified lexer action should be + # executed. + # @param action The lexer action to execute at a particular offset in the + # input {@link CharStream}. + def __init__(self, offset:int, action:LexerAction): + super().__init__(action.actionType) + self.offset = offset + self.action = action + self.isPositionDependent = True + + #

        This method calls {@link #execute} on the result of {@link #getAction} + # using the provided {@code lexer}.

        + def execute(self, lexer:Lexer): + # assume the input stream position was properly set by the calling code + self.action.execute(lexer) + + def __hash__(self): + return hash((self.actionType, self.offset, self.action)) + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, LexerIndexedCustomAction): + return False + else: + return self.offset == other.offset and self.action == other.action diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/LexerActionExecutor.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/LexerActionExecutor.py new file mode 100644 index 0000000000000000000000000000000000000000..5c6462c3a28f4ccbcb0a65dcde96f497dd392416 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/LexerActionExecutor.py @@ -0,0 +1,143 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ + +# Represents an executor for a sequence of lexer actions which traversed during +# the matching operation of a lexer rule (token). +# +#

        The executor tracks position information for position-dependent lexer actions +# efficiently, ensuring that actions appearing only at the end of the rule do +# not cause bloating of the {@link DFA} created for the lexer.

        + + +from antlr4.InputStream import InputStream +from antlr4.atn.LexerAction import LexerAction, LexerIndexedCustomAction + +# need a forward declaration +Lexer = None +LexerActionExecutor = None + +class LexerActionExecutor(object): + __slots__ = ('lexerActions', 'hashCode') + + def __init__(self, lexerActions:list=list()): + self.lexerActions = lexerActions + # Caches the result of {@link #hashCode} since the hash code is an element + # of the performance-critical {@link LexerATNConfig#hashCode} operation. + self.hashCode = hash("".join([str(la) for la in lexerActions])) + + + # Creates a {@link LexerActionExecutor} which executes the actions for + # the input {@code lexerActionExecutor} followed by a specified + # {@code lexerAction}. + # + # @param lexerActionExecutor The executor for actions already traversed by + # the lexer while matching a token within a particular + # {@link LexerATNConfig}. If this is {@code null}, the method behaves as + # though it were an empty executor. + # @param lexerAction The lexer action to execute after the actions + # specified in {@code lexerActionExecutor}. + # + # @return A {@link LexerActionExecutor} for executing the combine actions + # of {@code lexerActionExecutor} and {@code lexerAction}. + @staticmethod + def append(lexerActionExecutor:LexerActionExecutor , lexerAction:LexerAction ): + if lexerActionExecutor is None: + return LexerActionExecutor([ lexerAction ]) + + lexerActions = lexerActionExecutor.lexerActions + [ lexerAction ] + return LexerActionExecutor(lexerActions) + + # Creates a {@link LexerActionExecutor} which encodes the current offset + # for position-dependent lexer actions. + # + #

        Normally, when the executor encounters lexer actions where + # {@link LexerAction#isPositionDependent} returns {@code true}, it calls + # {@link IntStream#seek} on the input {@link CharStream} to set the input + # position to the end of the current token. This behavior provides + # for efficient DFA representation of lexer actions which appear at the end + # of a lexer rule, even when the lexer rule matches a variable number of + # characters.

        + # + #

        Prior to traversing a match transition in the ATN, the current offset + # from the token start index is assigned to all position-dependent lexer + # actions which have not already been assigned a fixed offset. By storing + # the offsets relative to the token start index, the DFA representation of + # lexer actions which appear in the middle of tokens remains efficient due + # to sharing among tokens of the same length, regardless of their absolute + # position in the input stream.

        + # + #

        If the current executor already has offsets assigned to all + # position-dependent lexer actions, the method returns {@code this}.

        + # + # @param offset The current offset to assign to all position-dependent + # lexer actions which do not already have offsets assigned. + # + # @return A {@link LexerActionExecutor} which stores input stream offsets + # for all position-dependent lexer actions. + #/ + def fixOffsetBeforeMatch(self, offset:int): + updatedLexerActions = None + for i in range(0, len(self.lexerActions)): + if self.lexerActions[i].isPositionDependent and not isinstance(self.lexerActions[i], LexerIndexedCustomAction): + if updatedLexerActions is None: + updatedLexerActions = [ la for la in self.lexerActions ] + updatedLexerActions[i] = LexerIndexedCustomAction(offset, self.lexerActions[i]) + + if updatedLexerActions is None: + return self + else: + return LexerActionExecutor(updatedLexerActions) + + + # Execute the actions encapsulated by this executor within the context of a + # particular {@link Lexer}. + # + #

        This method calls {@link IntStream#seek} to set the position of the + # {@code input} {@link CharStream} prior to calling + # {@link LexerAction#execute} on a position-dependent action. Before the + # method returns, the input position will be restored to the same position + # it was in when the method was invoked.

        + # + # @param lexer The lexer instance. + # @param input The input stream which is the source for the current token. + # When this method is called, the current {@link IntStream#index} for + # {@code input} should be the start of the following token, i.e. 1 + # character past the end of the current token. + # @param startIndex The token start index. This value may be passed to + # {@link IntStream#seek} to set the {@code input} position to the beginning + # of the token. + #/ + def execute(self, lexer:Lexer, input:InputStream, startIndex:int): + requiresSeek = False + stopIndex = input.index + try: + for lexerAction in self.lexerActions: + if isinstance(lexerAction, LexerIndexedCustomAction): + offset = lexerAction.offset + input.seek(startIndex + offset) + lexerAction = lexerAction.action + requiresSeek = (startIndex + offset) != stopIndex + elif lexerAction.isPositionDependent: + input.seek(stopIndex) + requiresSeek = False + lexerAction.execute(lexer) + finally: + if requiresSeek: + input.seek(stopIndex) + + def __hash__(self): + return self.hashCode + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, LexerActionExecutor): + return False + else: + return self.hashCode == other.hashCode \ + and self.lexerActions == other.lexerActions + +del Lexer diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ParserATNSimulator.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ParserATNSimulator.py new file mode 100644 index 0000000000000000000000000000000000000000..d1fb3d7ed8bab47fb851d85da88d20dc39715627 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/ParserATNSimulator.py @@ -0,0 +1,1649 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# +# The embodiment of the adaptive LL(*), ALL(*), parsing strategy. +# +#

        +# The basic complexity of the adaptive strategy makes it harder to understand. +# We begin with ATN simulation to build paths in a DFA. Subsequent prediction +# requests go through the DFA first. If they reach a state without an edge for +# the current symbol, the algorithm fails over to the ATN simulation to +# complete the DFA path for the current input (until it finds a conflict state +# or uniquely predicting state).

        +# +#

        +# All of that is done without using the outer context because we want to create +# a DFA that is not dependent upon the rule invocation stack when we do a +# prediction. One DFA works in all contexts. We avoid using context not +# necessarily because it's slower, although it can be, but because of the DFA +# caching problem. The closure routine only considers the rule invocation stack +# created during prediction beginning in the decision rule. For example, if +# prediction occurs without invoking another rule's ATN, there are no context +# stacks in the configurations. When lack of context leads to a conflict, we +# don't know if it's an ambiguity or a weakness in the strong LL(*) parsing +# strategy (versus full LL(*)).

        +# +#

        +# When SLL yields a configuration set with conflict, we rewind the input and +# retry the ATN simulation, this time using full outer context without adding +# to the DFA. Configuration context stacks will be the full invocation stacks +# from the start rule. If we get a conflict using full context, then we can +# definitively say we have a true ambiguity for that input sequence. If we +# don't get a conflict, it implies that the decision is sensitive to the outer +# context. (It is not context-sensitive in the sense of context-sensitive +# grammars.)

        +# +#

        +# The next time we reach this DFA state with an SLL conflict, through DFA +# simulation, we will again retry the ATN simulation using full context mode. +# This is slow because we can't save the results and have to "interpret" the +# ATN each time we get that input.

        +# +#

        +# CACHING FULL CONTEXT PREDICTIONS

        +# +#

        +# We could cache results from full context to predicted alternative easily and +# that saves a lot of time but doesn't work in presence of predicates. The set +# of visible predicates from the ATN start state changes depending on the +# context, because closure can fall off the end of a rule. I tried to cache +# tuples (stack context, semantic context, predicted alt) but it was slower +# than interpreting and much more complicated. Also required a huge amount of +# memory. The goal is not to create the world's fastest parser anyway. I'd like +# to keep this algorithm simple. By launching multiple threads, we can improve +# the speed of parsing across a large number of files.

        +# +#

        +# There is no strict ordering between the amount of input used by SLL vs LL, +# which makes it really hard to build a cache for full context. Let's say that +# we have input A B C that leads to an SLL conflict with full context X. That +# implies that using X we might only use A B but we could also use A B C D to +# resolve conflict. Input A B C D could predict alternative 1 in one position +# in the input and A B C E could predict alternative 2 in another position in +# input. The conflicting SLL configurations could still be non-unique in the +# full context prediction, which would lead us to requiring more input than the +# original A B C. To make a prediction cache work, we have to track the exact +# input used during the previous prediction. That amounts to a cache that maps +# X to a specific DFA for that context.

        +# +#

        +# Something should be done for left-recursive expression predictions. They are +# likely LL(1) + pred eval. Easier to do the whole SLL unless error and retry +# with full LL thing Sam does.

        +# +#

        +# AVOIDING FULL CONTEXT PREDICTION

        +# +#

        +# We avoid doing full context retry when the outer context is empty, we did not +# dip into the outer context by falling off the end of the decision state rule, +# or when we force SLL mode.

        +# +#

        +# As an example of the not dip into outer context case, consider as super +# constructor calls versus function calls. One grammar might look like +# this:

        +# +# 
        +# ctorBody
+#   : '{' superCall? stat* '}'
+#   ;
+#
        +# +#

        +# Or, you might see something like

        +# +# 
        +# stat
+#   : superCall ';'
+#   | expression ';'
+#   | ...
+#   ;
+#
        +# +#

        +# In both cases I believe that no closure operations will dip into the outer +# context. In the first case ctorBody in the worst case will stop at the '}'. +# In the 2nd case it should stop at the ';'. Both cases should stay within the +# entry rule and not dip into the outer context.

        +# +#

        +# PREDICATES

        +# +#

        +# Predicates are always evaluated if present in either SLL or LL both. SLL and +# LL simulation deals with predicates differently. SLL collects predicates as +# it performs closure operations like ANTLR v3 did. It delays predicate +# evaluation until it reaches and accept state. This allows us to cache the SLL +# ATN simulation whereas, if we had evaluated predicates on-the-fly during +# closure, the DFA state configuration sets would be different and we couldn't +# build up a suitable DFA.

        +# +#

        +# When building a DFA accept state during ATN simulation, we evaluate any +# predicates and return the sole semantically valid alternative. If there is +# more than 1 alternative, we report an ambiguity. If there are 0 alternatives, +# we throw an exception. Alternatives without predicates act like they have +# true predicates. The simple way to think about it is to strip away all +# alternatives with false predicates and choose the minimum alternative that +# remains.

        +# +#

        +# When we start in the DFA and reach an accept state that's predicated, we test +# those and return the minimum semantically viable alternative. If no +# alternatives are viable, we throw an exception.

        +# +#

        +# During full LL ATN simulation, closure always evaluates predicates and +# on-the-fly. This is crucial to reducing the configuration set size during +# closure. It hits a landmine when parsing with the Java grammar, for example, +# without this on-the-fly evaluation.

        +# +#

        +# SHARING DFA

        +# +#

        +# All instances of the same parser share the same decision DFAs through a +# static field. Each instance gets its own ATN simulator but they share the +# same {@link #decisionToDFA} field. They also share a +# {@link PredictionContextCache} object that makes sure that all +# {@link PredictionContext} objects are shared among the DFA states. This makes +# a big size difference.

        +# +#

        +# THREAD SAFETY

        +# +#

        +# The {@link ParserATNSimulator} locks on the {@link #decisionToDFA} field when +# it adds a new DFA object to that array. {@link #addDFAEdge} +# locks on the DFA for the current decision when setting the +# {@link DFAState#edges} field. {@link #addDFAState} locks on +# the DFA for the current decision when looking up a DFA state to see if it +# already exists. We must make sure that all requests to add DFA states that +# are equivalent result in the same shared DFA object. This is because lots of +# threads will be trying to update the DFA at once. The +# {@link #addDFAState} method also locks inside the DFA lock +# but this time on the shared context cache when it rebuilds the +# configurations' {@link PredictionContext} objects using cached +# subgraphs/nodes. No other locking occurs, even during DFA simulation. This is +# safe as long as we can guarantee that all threads referencing +# {@code s.edge[t]} get the same physical target {@link DFAState}, or +# {@code null}. Once into the DFA, the DFA simulation does not reference the +# {@link DFA#states} map. It follows the {@link DFAState#edges} field to new +# targets. The DFA simulator will either find {@link DFAState#edges} to be +# {@code null}, to be non-{@code null} and {@code dfa.edges[t]} null, or +# {@code dfa.edges[t]} to be non-null. The +# {@link #addDFAEdge} method could be racing to set the field +# but in either case the DFA simulator works; if {@code null}, and requests ATN +# simulation. It could also race trying to get {@code dfa.edges[t]}, but either +# way it will work because it's not doing a test and set operation.

        +# +#

        +# Starting with SLL then failing to combined SLL/LL (Two-Stage +# Parsing)

        +# +#

        +# Sam pointed out that if SLL does not give a syntax error, then there is no +# point in doing full LL, which is slower. We only have to try LL if we get a +# syntax error. For maximum speed, Sam starts the parser set to pure SLL +# mode with the {@link BailErrorStrategy}:

        +# +# 
        +# parser.{@link Parser#getInterpreter() getInterpreter()}.{@link #setPredictionMode setPredictionMode}{@code (}{@link PredictionMode#SLL}{@code )};
+# parser.{@link Parser#setErrorHandler setErrorHandler}(new {@link BailErrorStrategy}());
+#
        +# +#

        +# If it does not get a syntax error, then we're done. If it does get a syntax +# error, we need to retry with the combined SLL/LL strategy.

        +# +#

        +# The reason this works is as follows. If there are no SLL conflicts, then the +# grammar is SLL (at least for that input set). If there is an SLL conflict, +# the full LL analysis must yield a set of viable alternatives which is a +# subset of the alternatives reported by SLL. If the LL set is a singleton, +# then the grammar is LL but not SLL. If the LL set is the same size as the SLL +# set, the decision is SLL. If the LL set has size > 1, then that decision +# is truly ambiguous on the current input. If the LL set is smaller, then the +# SLL conflict resolution might choose an alternative that the full LL would +# rule out as a possibility based upon better context information. If that's +# the case, then the SLL parse will definitely get an error because the full LL +# analysis says it's not viable. If SLL conflict resolution chooses an +# alternative within the LL set, them both SLL and LL would choose the same +# alternative because they both choose the minimum of multiple conflicting +# alternatives.

        +# +#

        +# Let's say we have a set of SLL conflicting alternatives {@code {1, 2, 3}} and +# a smaller LL set called s. If s is {@code {2, 3}}, then SLL +# parsing will get an error because SLL will pursue alternative 1. If +# s is {@code {1, 2}} or {@code {1, 3}} then both SLL and LL will +# choose the same alternative because alternative one is the minimum of either +# set. If s is {@code {2}} or {@code {3}} then SLL will get a syntax +# error. If s is {@code {1}} then SLL will succeed.

        +# +#

        +# Of course, if the input is invalid, then we will get an error for sure in +# both SLL and LL parsing. Erroneous input will therefore require 2 passes over +# the input.

        +# +import sys +from antlr4 import DFA +from antlr4.PredictionContext import PredictionContextCache, PredictionContext, SingletonPredictionContext, \ + PredictionContextFromRuleContext +from antlr4.BufferedTokenStream import TokenStream +from antlr4.Parser import Parser +from antlr4.ParserRuleContext import ParserRuleContext +from antlr4.RuleContext import RuleContext +from antlr4.Token import Token +from antlr4.Utils import str_list +from antlr4.atn.ATN import ATN +from antlr4.atn.ATNConfig import ATNConfig +from antlr4.atn.ATNConfigSet import ATNConfigSet +from antlr4.atn.ATNSimulator import ATNSimulator +from antlr4.atn.ATNState import StarLoopEntryState, DecisionState, RuleStopState, ATNState +from antlr4.atn.PredictionMode import PredictionMode +from antlr4.atn.SemanticContext import SemanticContext, AND, andContext, orContext +from antlr4.atn.Transition import Transition, RuleTransition, ActionTransition, PrecedencePredicateTransition, \ + PredicateTransition, AtomTransition, SetTransition, NotSetTransition +from antlr4.dfa.DFAState import DFAState, PredPrediction +from antlr4.error.Errors import NoViableAltException + + +class ParserATNSimulator(ATNSimulator): + __slots__ = ( + 'parser', 'decisionToDFA', 'predictionMode', '_input', '_startIndex', + '_outerContext', '_dfa', 'mergeCache' + ) + + debug = False + debug_list_atn_decisions = False + dfa_debug = False + retry_debug = False + + + def __init__(self, parser:Parser, atn:ATN, decisionToDFA:list, sharedContextCache:PredictionContextCache): + super().__init__(atn, sharedContextCache) + self.parser = parser + self.decisionToDFA = decisionToDFA + # SLL, LL, or LL + exact ambig detection?# + self.predictionMode = PredictionMode.LL + # LAME globals to avoid parameters!!!!! I need these down deep in predTransition + self._input = None + self._startIndex = 0 + self._outerContext = None + self._dfa = None + # Each prediction operation uses a cache for merge of prediction contexts. + # Don't keep around as it wastes huge amounts of memory. DoubleKeyMap + # isn't synchronized but we're ok since two threads shouldn't reuse same + # parser/atnsim object because it can only handle one input at a time. + # This maps graphs a and b to merged result c. (a,b)→c. We can avoid + # the merge if we ever see a and b again. Note that (b,a)→c should + # also be examined during cache lookup. + # + self.mergeCache = None + + + def reset(self): + pass + + def adaptivePredict(self, input:TokenStream, decision:int, outerContext:ParserRuleContext): + if ParserATNSimulator.debug or ParserATNSimulator.debug_list_atn_decisions: + print("adaptivePredict decision " + str(decision) + + " exec LA(1)==" + self.getLookaheadName(input) + + " line " + str(input.LT(1).line) + ":" + + str(input.LT(1).column)) + self._input = input + self._startIndex = input.index + self._outerContext = outerContext + + dfa = self.decisionToDFA[decision] + self._dfa = dfa + m = input.mark() + index = input.index + + # Now we are certain to have a specific decision's DFA + # But, do we still need an initial state? + try: + if dfa.precedenceDfa: + # the start state for a precedence DFA depends on the current + # parser precedence, and is provided by a DFA method. + s0 = dfa.getPrecedenceStartState(self.parser.getPrecedence()) + else: + # the start state for a "regular" DFA is just s0 + s0 = dfa.s0 + + if s0 is None: + if outerContext is None: + outerContext = ParserRuleContext.EMPTY + if ParserATNSimulator.debug or ParserATNSimulator.debug_list_atn_decisions: + print("predictATN decision " + str(dfa.decision) + + " exec LA(1)==" + self.getLookaheadName(input) + + ", outerContext=" + outerContext.toString(self.parser.literalNames, None)) + + fullCtx = False + s0_closure = self.computeStartState(dfa.atnStartState, ParserRuleContext.EMPTY, fullCtx) + + if dfa.precedenceDfa: + # If this is a precedence DFA, we use applyPrecedenceFilter + # to convert the computed start state to a precedence start + # state. We then use DFA.setPrecedenceStartState to set the + # appropriate start state for the precedence level rather + # than simply setting DFA.s0. + # + dfa.s0.configs = s0_closure # not used for prediction but useful to know start configs anyway + s0_closure = self.applyPrecedenceFilter(s0_closure) + s0 = self.addDFAState(dfa, DFAState(configs=s0_closure)) + dfa.setPrecedenceStartState(self.parser.getPrecedence(), s0) + else: + s0 = self.addDFAState(dfa, DFAState(configs=s0_closure)) + dfa.s0 = s0 + + alt = self.execATN(dfa, s0, input, index, outerContext) + if ParserATNSimulator.debug: + print("DFA after predictATN: " + dfa.toString(self.parser.literalNames)) + return alt + finally: + self._dfa = None + self.mergeCache = None # wack cache after each prediction + input.seek(index) + input.release(m) + + # Performs ATN simulation to compute a predicted alternative based + # upon the remaining input, but also updates the DFA cache to avoid + # having to traverse the ATN again for the same input sequence. + + # There are some key conditions we're looking for after computing a new + # set of ATN configs (proposed DFA state): + # if the set is empty, there is no viable alternative for current symbol + # does the state uniquely predict an alternative? + # does the state have a conflict that would prevent us from + # putting it on the work list? + + # We also have some key operations to do: + # add an edge from previous DFA state to potentially new DFA state, D, + # upon current symbol but only if adding to work list, which means in all + # cases except no viable alternative (and possibly non-greedy decisions?) + # collecting predicates and adding semantic context to DFA accept states + # adding rule context to context-sensitive DFA accept states + # consuming an input symbol + # reporting a conflict + # reporting an ambiguity + # reporting a context sensitivity + # reporting insufficient predicates + + # cover these cases: + # dead end + # single alt + # single alt + preds + # conflict + # conflict + preds + # + def execATN(self, dfa:DFA, s0:DFAState, input:TokenStream, startIndex:int, outerContext:ParserRuleContext ): + if ParserATNSimulator.debug or ParserATNSimulator.debug_list_atn_decisions: + print("execATN decision " + str(dfa.decision) + + " exec LA(1)==" + self.getLookaheadName(input) + + " line " + str(input.LT(1).line) + ":" + str(input.LT(1).column)) + + previousD = s0 + + if ParserATNSimulator.debug: + print("s0 = " + str(s0)) + + t = input.LA(1) + + while True: # while more work + D = self.getExistingTargetState(previousD, t) + if D is None: + D = self.computeTargetState(dfa, previousD, t) + if D is self.ERROR: + # if any configs in previous dipped into outer context, that + # means that input up to t actually finished entry rule + # at least for SLL decision. Full LL doesn't dip into outer + # so don't need special case. + # We will get an error no matter what so delay until after + # decision; better error message. Also, no reachable target + # ATN states in SLL implies LL will also get nowhere. + # If conflict in states that dip out, choose min since we + # will get error no matter what. + e = self.noViableAlt(input, outerContext, previousD.configs, startIndex) + input.seek(startIndex) + alt = self.getSynValidOrSemInvalidAltThatFinishedDecisionEntryRule(previousD.configs, outerContext) + if alt!=ATN.INVALID_ALT_NUMBER: + return alt + raise e + + if D.requiresFullContext and self.predictionMode != PredictionMode.SLL: + # IF PREDS, MIGHT RESOLVE TO SINGLE ALT => SLL (or syntax error) + conflictingAlts = D.configs.conflictingAlts + if D.predicates is not None: + if ParserATNSimulator.debug: + print("DFA state has preds in DFA sim LL failover") + conflictIndex = input.index + if conflictIndex != startIndex: + input.seek(startIndex) + + conflictingAlts = self.evalSemanticContext(D.predicates, outerContext, True) + if len(conflictingAlts)==1: + if ParserATNSimulator.debug: + print("Full LL avoided") + return min(conflictingAlts) + + if conflictIndex != startIndex: + # restore the index so reporting the fallback to full + # context occurs with the index at the correct spot + input.seek(conflictIndex) + + if ParserATNSimulator.dfa_debug: + print("ctx sensitive state " + str(outerContext) +" in " + str(D)) + fullCtx = True + s0_closure = self.computeStartState(dfa.atnStartState, outerContext, fullCtx) + self.reportAttemptingFullContext(dfa, conflictingAlts, D.configs, startIndex, input.index) + alt = self.execATNWithFullContext(dfa, D, s0_closure, input, startIndex, outerContext) + return alt + + if D.isAcceptState: + if D.predicates is None: + return D.prediction + + stopIndex = input.index + input.seek(startIndex) + alts = self.evalSemanticContext(D.predicates, outerContext, True) + if len(alts)==0: + raise self.noViableAlt(input, outerContext, D.configs, startIndex) + elif len(alts)==1: + return min(alts) + else: + # report ambiguity after predicate evaluation to make sure the correct + # set of ambig alts is reported. + self.reportAmbiguity(dfa, D, startIndex, stopIndex, False, alts, D.configs) + return min(alts) + + previousD = D + + if t != Token.EOF: + input.consume() + t = input.LA(1) + + # + # Get an existing target state for an edge in the DFA. If the target state + # for the edge has not yet been computed or is otherwise not available, + # this method returns {@code null}. + # + # @param previousD The current DFA state + # @param t The next input symbol + # @return The existing target DFA state for the given input symbol + # {@code t}, or {@code null} if the target state for this edge is not + # already cached + # + def getExistingTargetState(self, previousD:DFAState, t:int): + edges = previousD.edges + if edges is None or t + 1 < 0 or t + 1 >= len(edges): + return None + else: + return edges[t + 1] + + # + # Compute a target state for an edge in the DFA, and attempt to add the + # computed state and corresponding edge to the DFA. + # + # @param dfa The DFA + # @param previousD The current DFA state + # @param t The next input symbol + # + # @return The computed target DFA state for the given input symbol + # {@code t}. If {@code t} does not lead to a valid DFA state, this method + # returns {@link #ERROR}. + # + def computeTargetState(self, dfa:DFA, previousD:DFAState, t:int): + reach = self.computeReachSet(previousD.configs, t, False) + if reach is None: + self.addDFAEdge(dfa, previousD, t, self.ERROR) + return self.ERROR + + # create new target state; we'll add to DFA after it's complete + D = DFAState(configs=reach) + + predictedAlt = self.getUniqueAlt(reach) + + if ParserATNSimulator.debug: + altSubSets = PredictionMode.getConflictingAltSubsets(reach) + print("SLL altSubSets=" + str(altSubSets) + ", configs=" + str(reach) + + ", predict=" + str(predictedAlt) + ", allSubsetsConflict=" + + str(PredictionMode.allSubsetsConflict(altSubSets)) + ", conflictingAlts=" + + str(self.getConflictingAlts(reach))) + + if predictedAlt!=ATN.INVALID_ALT_NUMBER: + # NO CONFLICT, UNIQUELY PREDICTED ALT + D.isAcceptState = True + D.configs.uniqueAlt = predictedAlt + D.prediction = predictedAlt + elif PredictionMode.hasSLLConflictTerminatingPrediction(self.predictionMode, reach): + # MORE THAN ONE VIABLE ALTERNATIVE + D.configs.conflictingAlts = self.getConflictingAlts(reach) + D.requiresFullContext = True + # in SLL-only mode, we will stop at this state and return the minimum alt + D.isAcceptState = True + D.prediction = min(D.configs.conflictingAlts) + + if D.isAcceptState and D.configs.hasSemanticContext: + self.predicateDFAState(D, self.atn.getDecisionState(dfa.decision)) + if D.predicates is not None: + D.prediction = ATN.INVALID_ALT_NUMBER + + # all adds to dfa are done after we've created full D state + D = self.addDFAEdge(dfa, previousD, t, D) + return D + + def predicateDFAState(self, dfaState:DFAState, decisionState:DecisionState): + # We need to test all predicates, even in DFA states that + # uniquely predict alternative. + nalts = len(decisionState.transitions) + # Update DFA so reach becomes accept state with (predicate,alt) + # pairs if preds found for conflicting alts + altsToCollectPredsFrom = self.getConflictingAltsOrUniqueAlt(dfaState.configs) + altToPred = self.getPredsForAmbigAlts(altsToCollectPredsFrom, dfaState.configs, nalts) + if altToPred is not None: + dfaState.predicates = self.getPredicatePredictions(altsToCollectPredsFrom, altToPred) + dfaState.prediction = ATN.INVALID_ALT_NUMBER # make sure we use preds + else: + # There are preds in configs but they might go away + # when OR'd together like {p}? || NONE == NONE. If neither + # alt has preds, resolve to min alt + dfaState.prediction = min(altsToCollectPredsFrom) + + # comes back with reach.uniqueAlt set to a valid alt + def execATNWithFullContext(self, dfa:DFA, D:DFAState, # how far we got before failing over + s0:ATNConfigSet, + input:TokenStream, + startIndex:int, + outerContext:ParserRuleContext): + if ParserATNSimulator.debug or ParserATNSimulator.debug_list_atn_decisions: + print("execATNWithFullContext", str(s0)) + fullCtx = True + foundExactAmbig = False + reach = None + previous = s0 + input.seek(startIndex) + t = input.LA(1) + predictedAlt = -1 + while (True): # while more work + reach = self.computeReachSet(previous, t, fullCtx) + if reach is None: + # if any configs in previous dipped into outer context, that + # means that input up to t actually finished entry rule + # at least for LL decision. Full LL doesn't dip into outer + # so don't need special case. + # We will get an error no matter what so delay until after + # decision; better error message. Also, no reachable target + # ATN states in SLL implies LL will also get nowhere. + # If conflict in states that dip out, choose min since we + # will get error no matter what. + e = self.noViableAlt(input, outerContext, previous, startIndex) + input.seek(startIndex) + alt = self.getSynValidOrSemInvalidAltThatFinishedDecisionEntryRule(previous, outerContext) + if alt!=ATN.INVALID_ALT_NUMBER: + return alt + else: + raise e + + altSubSets = PredictionMode.getConflictingAltSubsets(reach) + if ParserATNSimulator.debug: + print("LL altSubSets=" + str(altSubSets) + ", predict=" + + str(PredictionMode.getUniqueAlt(altSubSets)) + ", resolvesToJustOneViableAlt=" + + str(PredictionMode.resolvesToJustOneViableAlt(altSubSets))) + + reach.uniqueAlt = self.getUniqueAlt(reach) + # unique prediction? + if reach.uniqueAlt!=ATN.INVALID_ALT_NUMBER: + predictedAlt = reach.uniqueAlt + break + elif self.predictionMode is not PredictionMode.LL_EXACT_AMBIG_DETECTION: + predictedAlt = PredictionMode.resolvesToJustOneViableAlt(altSubSets) + if predictedAlt != ATN.INVALID_ALT_NUMBER: + break + else: + # In exact ambiguity mode, we never try to terminate early. + # Just keeps scarfing until we know what the conflict is + if PredictionMode.allSubsetsConflict(altSubSets) and PredictionMode.allSubsetsEqual(altSubSets): + foundExactAmbig = True + predictedAlt = PredictionMode.getSingleViableAlt(altSubSets) + break + # else there are multiple non-conflicting subsets or + # we're not sure what the ambiguity is yet. + # So, keep going. + + previous = reach + if t != Token.EOF: + input.consume() + t = input.LA(1) + + # If the configuration set uniquely predicts an alternative, + # without conflict, then we know that it's a full LL decision + # not SLL. + if reach.uniqueAlt != ATN.INVALID_ALT_NUMBER : + self.reportContextSensitivity(dfa, predictedAlt, reach, startIndex, input.index) + return predictedAlt + + # We do not check predicates here because we have checked them + # on-the-fly when doing full context prediction. + + # + # In non-exact ambiguity detection mode, we might actually be able to + # detect an exact ambiguity, but I'm not going to spend the cycles + # needed to check. We only emit ambiguity warnings in exact ambiguity + # mode. + # + # For example, we might know that we have conflicting configurations. + # But, that does not mean that there is no way forward without a + # conflict. It's possible to have nonconflicting alt subsets as in: + + # altSubSets=[{1, 2}, {1, 2}, {1}, {1, 2}] + + # from + # + # [(17,1,[5 $]), (13,1,[5 10 $]), (21,1,[5 10 $]), (11,1,[$]), + # (13,2,[5 10 $]), (21,2,[5 10 $]), (11,2,[$])] + # + # In this case, (17,1,[5 $]) indicates there is some next sequence that + # would resolve this without conflict to alternative 1. Any other viable + # next sequence, however, is associated with a conflict. We stop + # looking for input because no amount of further lookahead will alter + # the fact that we should predict alternative 1. We just can't say for + # sure that there is an ambiguity without looking further. + + self.reportAmbiguity(dfa, D, startIndex, input.index, foundExactAmbig, None, reach) + + return predictedAlt + + def computeReachSet(self, closure:ATNConfigSet, t:int, fullCtx:bool): + if ParserATNSimulator.debug: + print("in computeReachSet, starting closure: " + str(closure)) + + if self.mergeCache is None: + self.mergeCache = dict() + + intermediate = ATNConfigSet(fullCtx) + + # Configurations already in a rule stop state indicate reaching the end + # of the decision rule (local context) or end of the start rule (full + # context). Once reached, these configurations are never updated by a + # closure operation, so they are handled separately for the performance + # advantage of having a smaller intermediate set when calling closure. + # + # For full-context reach operations, separate handling is required to + # ensure that the alternative matching the longest overall sequence is + # chosen when multiple such configurations can match the input. + + skippedStopStates = None + + # First figure out where we can reach on input t + for c in closure: + if ParserATNSimulator.debug: + print("testing " + self.getTokenName(t) + " at " + str(c)) + + if isinstance(c.state, RuleStopState): + if fullCtx or t == Token.EOF: + if skippedStopStates is None: + skippedStopStates = list() + skippedStopStates.append(c) + continue + + for trans in c.state.transitions: + target = self.getReachableTarget(trans, t) + if target is not None: + intermediate.add(ATNConfig(state=target, config=c), self.mergeCache) + + # Now figure out where the reach operation can take us... + + reach = None + + # This block optimizes the reach operation for intermediate sets which + # trivially indicate a termination state for the overall + # adaptivePredict operation. + # + # The conditions assume that intermediate + # contains all configurations relevant to the reach set, but this + # condition is not true when one or more configurations have been + # withheld in skippedStopStates, or when the current symbol is EOF. + # + if skippedStopStates is None and t!=Token.EOF: + if len(intermediate)==1: + # Don't pursue the closure if there is just one state. + # It can only have one alternative; just add to result + # Also don't pursue the closure if there is unique alternative + # among the configurations. + reach = intermediate + elif self.getUniqueAlt(intermediate)!=ATN.INVALID_ALT_NUMBER: + # Also don't pursue the closure if there is unique alternative + # among the configurations. + reach = intermediate + + # If the reach set could not be trivially determined, perform a closure + # operation on the intermediate set to compute its initial value. + # + if reach is None: + reach = ATNConfigSet(fullCtx) + closureBusy = set() + treatEofAsEpsilon = t == Token.EOF + for c in intermediate: + self.closure(c, reach, closureBusy, False, fullCtx, treatEofAsEpsilon) + + if t == Token.EOF: + # After consuming EOF no additional input is possible, so we are + # only interested in configurations which reached the end of the + # decision rule (local context) or end of the start rule (full + # context). Update reach to contain only these configurations. This + # handles both explicit EOF transitions in the grammar and implicit + # EOF transitions following the end of the decision or start rule. + # + # When reach==intermediate, no closure operation was performed. In + # this case, removeAllConfigsNotInRuleStopState needs to check for + # reachable rule stop states as well as configurations already in + # a rule stop state. + # + # This is handled before the configurations in skippedStopStates, + # because any configurations potentially added from that list are + # already guaranteed to meet this condition whether or not it's + # required. + # + reach = self.removeAllConfigsNotInRuleStopState(reach, reach is intermediate) + + # If skippedStopStates is not null, then it contains at least one + # configuration. For full-context reach operations, these + # configurations reached the end of the start rule, in which case we + # only add them back to reach if no configuration during the current + # closure operation reached such a state. This ensures adaptivePredict + # chooses an alternative matching the longest overall sequence when + # multiple alternatives are viable. + # + if skippedStopStates is not None and ( (not fullCtx) or (not PredictionMode.hasConfigInRuleStopState(reach))): + for c in skippedStopStates: + reach.add(c, self.mergeCache) + if len(reach)==0: + return None + else: + return reach + + # + # Return a configuration set containing only the configurations from + # {@code configs} which are in a {@link RuleStopState}. If all + # configurations in {@code configs} are already in a rule stop state, this + # method simply returns {@code configs}. + # + #

        When {@code lookToEndOfRule} is true, this method uses + # {@link ATN#nextTokens} for each configuration in {@code configs} which is + # not already in a rule stop state to see if a rule stop state is reachable + # from the configuration via epsilon-only transitions.

        + # + # @param configs the configuration set to update + # @param lookToEndOfRule when true, this method checks for rule stop states + # reachable by epsilon-only transitions from each configuration in + # {@code configs}. + # + # @return {@code configs} if all configurations in {@code configs} are in a + # rule stop state, otherwise return a new configuration set containing only + # the configurations from {@code configs} which are in a rule stop state + # + def removeAllConfigsNotInRuleStopState(self, configs:ATNConfigSet, lookToEndOfRule:bool): + if PredictionMode.allConfigsInRuleStopStates(configs): + return configs + result = ATNConfigSet(configs.fullCtx) + for config in configs: + if isinstance(config.state, RuleStopState): + result.add(config, self.mergeCache) + continue + if lookToEndOfRule and config.state.epsilonOnlyTransitions: + nextTokens = self.atn.nextTokens(config.state) + if Token.EPSILON in nextTokens: + endOfRuleState = self.atn.ruleToStopState[config.state.ruleIndex] + result.add(ATNConfig(state=endOfRuleState, config=config), self.mergeCache) + return result + + def computeStartState(self, p:ATNState, ctx:RuleContext, fullCtx:bool): + # always at least the implicit call to start rule + initialContext = PredictionContextFromRuleContext(self.atn, ctx) + configs = ATNConfigSet(fullCtx) + + for i in range(0, len(p.transitions)): + target = p.transitions[i].target + c = ATNConfig(target, i+1, initialContext) + closureBusy = set() + self.closure(c, configs, closureBusy, True, fullCtx, False) + return configs + + # + # This method transforms the start state computed by + # {@link #computeStartState} to the special start state used by a + # precedence DFA for a particular precedence value. The transformation + # process applies the following changes to the start state's configuration + # set. + # + #
          + #
        1. Evaluate the precedence predicates for each configuration using + # {@link SemanticContext#evalPrecedence}.
          2. + #
        2. Remove all configurations which predict an alternative greater than + # 1, for which another configuration that predicts alternative 1 is in the + # same ATN state with the same prediction context. This transformation is + # valid for the following reasons: + #
            + #
          • The closure block cannot contain any epsilon transitions which bypass + # the body of the closure, so all states reachable via alternative 1 are + # part of the precedence alternatives of the transformed left-recursive + # rule.
            • + #
          • The "primary" portion of a left recursive rule cannot contain an + # epsilon transition, so the only way an alternative other than 1 can exist + # in a state that is also reachable via alternative 1 is by nesting calls + # to the left-recursive rule, with the outer calls not being at the + # preferred precedence level.
            • + #
          + #
          3. + #
        + # + #

        + # The prediction context must be considered by this filter to address + # situations like the following. + #

        + # + # 
        +    # grammar TA;
+    # prog: statement* EOF;
+    # statement: letterA | statement letterA 'b' ;
+    # letterA: 'a';
+    #
        + #         + #

        + # If the above grammar, the ATN state immediately before the token + # reference {@code 'a'} in {@code letterA} is reachable from the left edge + # of both the primary and closure blocks of the left-recursive rule + # {@code statement}. The prediction context associated with each of these + # configurations distinguishes between them, and prevents the alternative + # which stepped out to {@code prog} (and then back in to {@code statement} + # from being eliminated by the filter. + #

        + # + # @param configs The configuration set computed by + # {@link #computeStartState} as the start state for the DFA. + # @return The transformed configuration set representing the start state + # for a precedence DFA at a particular precedence level (determined by + # calling {@link Parser#getPrecedence}). + # + def applyPrecedenceFilter(self, configs:ATNConfigSet): + statesFromAlt1 = dict() + configSet = ATNConfigSet(configs.fullCtx) + for config in configs: + # handle alt 1 first + if config.alt != 1: + continue + updatedContext = config.semanticContext.evalPrecedence(self.parser, self._outerContext) + if updatedContext is None: + # the configuration was eliminated + continue + + statesFromAlt1[config.state.stateNumber] = config.context + if updatedContext is not config.semanticContext: + configSet.add(ATNConfig(config=config, semantic=updatedContext), self.mergeCache) + else: + configSet.add(config, self.mergeCache) + + for config in configs: + if config.alt == 1: + # already handled + continue + + # In the future, this elimination step could be updated to also + # filter the prediction context for alternatives predicting alt>1 + # (basically a graph subtraction algorithm). + # + if not config.precedenceFilterSuppressed: + context = statesFromAlt1.get(config.state.stateNumber, None) + if context==config.context: + # eliminated + continue + + configSet.add(config, self.mergeCache) + + return configSet + + def getReachableTarget(self, trans:Transition, ttype:int): + if trans.matches(ttype, 0, self.atn.maxTokenType): + return trans.target + else: + return None + + def getPredsForAmbigAlts(self, ambigAlts:set, configs:ATNConfigSet, nalts:int): + # REACH=[1|1|[]|0:0, 1|2|[]|0:1] + # altToPred starts as an array of all null contexts. The entry at index i + # corresponds to alternative i. altToPred[i] may have one of three values: + # 1. null: no ATNConfig c is found such that c.alt==i + # 2. SemanticContext.NONE: At least one ATNConfig c exists such that + # c.alt==i and c.semanticContext==SemanticContext.NONE. In other words, + # alt i has at least one unpredicated config. + # 3. Non-NONE Semantic Context: There exists at least one, and for all + # ATNConfig c such that c.alt==i, c.semanticContext!=SemanticContext.NONE. + # + # From this, it is clear that NONE||anything==NONE. + # + altToPred = [None] * (nalts + 1) + for c in configs: + if c.alt in ambigAlts: + altToPred[c.alt] = orContext(altToPred[c.alt], c.semanticContext) + + nPredAlts = 0 + for i in range(1, nalts+1): + if altToPred[i] is None: + altToPred[i] = SemanticContext.NONE + elif altToPred[i] is not SemanticContext.NONE: + nPredAlts += 1 + + # nonambig alts are null in altToPred + if nPredAlts==0: + altToPred = None + if ParserATNSimulator.debug: + print("getPredsForAmbigAlts result " + str_list(altToPred)) + return altToPred + + def getPredicatePredictions(self, ambigAlts:set, altToPred:list): + pairs = [] + containsPredicate = False + for i in range(1, len(altToPred)): + pred = altToPred[i] + # unpredicated is indicated by SemanticContext.NONE + if ambigAlts is not None and i in ambigAlts: + pairs.append(PredPrediction(pred, i)) + if pred is not SemanticContext.NONE: + containsPredicate = True + + if not containsPredicate: + return None + + return pairs + + # + # This method is used to improve the localization of error messages by + # choosing an alternative rather than throwing a + # {@link NoViableAltException} in particular prediction scenarios where the + # {@link #ERROR} state was reached during ATN simulation. + # + #

        + # The default implementation of this method uses the following + # algorithm to identify an ATN configuration which successfully parsed the + # decision entry rule. Choosing such an alternative ensures that the + # {@link ParserRuleContext} returned by the calling rule will be complete + # and valid, and the syntax error will be reported later at a more + # localized location.

        + # + #
          + #
        • If a syntactically valid path or paths reach the end of the decision rule and + # they are semantically valid if predicated, return the min associated alt.
          • + #
        • Else, if a semantically invalid but syntactically valid path exist + # or paths exist, return the minimum associated alt. + #
          • + #
        • Otherwise, return {@link ATN#INVALID_ALT_NUMBER}.
          • + #
        + # + #

        + # In some scenarios, the algorithm described above could predict an + # alternative which will result in a {@link FailedPredicateException} in + # the parser. Specifically, this could occur if the only configuration + # capable of successfully parsing to the end of the decision rule is + # blocked by a semantic predicate. By choosing this alternative within + # {@link #adaptivePredict} instead of throwing a + # {@link NoViableAltException}, the resulting + # {@link FailedPredicateException} in the parser will identify the specific + # predicate which is preventing the parser from successfully parsing the + # decision rule, which helps developers identify and correct logic errors + # in semantic predicates. + #

        + # + # @param configs The ATN configurations which were valid immediately before + # the {@link #ERROR} state was reached + # @param outerContext The is the \gamma_0 initial parser context from the paper + # or the parser stack at the instant before prediction commences. + # + # @return The value to return from {@link #adaptivePredict}, or + # {@link ATN#INVALID_ALT_NUMBER} if a suitable alternative was not + # identified and {@link #adaptivePredict} should report an error instead. + # + def getSynValidOrSemInvalidAltThatFinishedDecisionEntryRule(self, configs:ATNConfigSet, outerContext:ParserRuleContext): + semValidConfigs, semInvalidConfigs = self.splitAccordingToSemanticValidity(configs, outerContext) + alt = self.getAltThatFinishedDecisionEntryRule(semValidConfigs) + if alt!=ATN.INVALID_ALT_NUMBER: # semantically/syntactically viable path exists + return alt + # Is there a syntactically valid path with a failed pred? + if len(semInvalidConfigs)>0: + alt = self.getAltThatFinishedDecisionEntryRule(semInvalidConfigs) + if alt!=ATN.INVALID_ALT_NUMBER: # syntactically viable path exists + return alt + return ATN.INVALID_ALT_NUMBER + + def getAltThatFinishedDecisionEntryRule(self, configs:ATNConfigSet): + alts = set() + for c in configs: + if c.reachesIntoOuterContext>0 or (isinstance(c.state, RuleStopState) and c.context.hasEmptyPath() ): + alts.add(c.alt) + if len(alts)==0: + return ATN.INVALID_ALT_NUMBER + else: + return min(alts) + + # Walk the list of configurations and split them according to + # those that have preds evaluating to true/false. If no pred, assume + # true pred and include in succeeded set. Returns Pair of sets. + # + # Create a new set so as not to alter the incoming parameter. + # + # Assumption: the input stream has been restored to the starting point + # prediction, which is where predicates need to evaluate. + # + def splitAccordingToSemanticValidity(self, configs:ATNConfigSet, outerContext:ParserRuleContext): + succeeded = ATNConfigSet(configs.fullCtx) + failed = ATNConfigSet(configs.fullCtx) + for c in configs: + if c.semanticContext is not SemanticContext.NONE: + predicateEvaluationResult = c.semanticContext.eval(self.parser, outerContext) + if predicateEvaluationResult: + succeeded.add(c) + else: + failed.add(c) + else: + succeeded.add(c) + return (succeeded,failed) + + # Look through a list of predicate/alt pairs, returning alts for the + # pairs that win. A {@code NONE} predicate indicates an alt containing an + # unpredicated config which behaves as "always true." If !complete + # then we stop at the first predicate that evaluates to true. This + # includes pairs with null predicates. + # + def evalSemanticContext(self, predPredictions:list, outerContext:ParserRuleContext, complete:bool): + predictions = set() + for pair in predPredictions: + if pair.pred is SemanticContext.NONE: + predictions.add(pair.alt) + if not complete: + break + continue + predicateEvaluationResult = pair.pred.eval(self.parser, outerContext) + if ParserATNSimulator.debug or ParserATNSimulator.dfa_debug: + print("eval pred " + str(pair) + "=" + str(predicateEvaluationResult)) + + if predicateEvaluationResult: + if ParserATNSimulator.debug or ParserATNSimulator.dfa_debug: + print("PREDICT " + str(pair.alt)) + predictions.add(pair.alt) + if not complete: + break + return predictions + + + # TODO: If we are doing predicates, there is no point in pursuing + # closure operations if we reach a DFA state that uniquely predicts + # alternative. We will not be caching that DFA state and it is a + # waste to pursue the closure. Might have to advance when we do + # ambig detection thought :( + # + + def closure(self, config:ATNConfig, configs:ATNConfigSet, closureBusy:set, collectPredicates:bool, fullCtx:bool, treatEofAsEpsilon:bool): + initialDepth = 0 + self.closureCheckingStopState(config, configs, closureBusy, collectPredicates, + fullCtx, initialDepth, treatEofAsEpsilon) + + + def closureCheckingStopState(self, config:ATNConfig, configs:ATNConfigSet, closureBusy:set, collectPredicates:bool, fullCtx:bool, depth:int, treatEofAsEpsilon:bool): + if ParserATNSimulator.debug: + print("closure(" + str(config) + ")") + + if isinstance(config.state, RuleStopState): + # We hit rule end. If we have context info, use it + # run thru all possible stack tops in ctx + if not config.context.isEmpty(): + for i in range(0, len(config.context)): + state = config.context.getReturnState(i) + if state is PredictionContext.EMPTY_RETURN_STATE: + if fullCtx: + configs.add(ATNConfig(state=config.state, context=PredictionContext.EMPTY, config=config), self.mergeCache) + continue + else: + # we have no context info, just chase follow links (if greedy) + if ParserATNSimulator.debug: + print("FALLING off rule " + self.getRuleName(config.state.ruleIndex)) + self.closure_(config, configs, closureBusy, collectPredicates, + fullCtx, depth, treatEofAsEpsilon) + continue + returnState = self.atn.states[state] + newContext = config.context.getParent(i) # "pop" return state + c = ATNConfig(state=returnState, alt=config.alt, context=newContext, semantic=config.semanticContext) + # While we have context to pop back from, we may have + # gotten that context AFTER having falling off a rule. + # Make sure we track that we are now out of context. + c.reachesIntoOuterContext = config.reachesIntoOuterContext + self.closureCheckingStopState(c, configs, closureBusy, collectPredicates, fullCtx, depth - 1, treatEofAsEpsilon) + return + elif fullCtx: + # reached end of start rule + configs.add(config, self.mergeCache) + return + else: + # else if we have no context info, just chase follow links (if greedy) + if ParserATNSimulator.debug: + print("FALLING off rule " + self.getRuleName(config.state.ruleIndex)) + + self.closure_(config, configs, closureBusy, collectPredicates, fullCtx, depth, treatEofAsEpsilon) + + # Do the actual work of walking epsilon edges# + def closure_(self, config:ATNConfig, configs:ATNConfigSet, closureBusy:set, collectPredicates:bool, fullCtx:bool, depth:int, treatEofAsEpsilon:bool): + p = config.state + # optimization + if not p.epsilonOnlyTransitions: + configs.add(config, self.mergeCache) + # make sure to not return here, because EOF transitions can act as + # both epsilon transitions and non-epsilon transitions. + + first = True + for t in p.transitions: + if first: + first = False + if self.canDropLoopEntryEdgeInLeftRecursiveRule(config): + continue + + continueCollecting = collectPredicates and not isinstance(t, ActionTransition) + c = self.getEpsilonTarget(config, t, continueCollecting, depth == 0, fullCtx, treatEofAsEpsilon) + if c is not None: + newDepth = depth + if isinstance( config.state, RuleStopState): + # target fell off end of rule; mark resulting c as having dipped into outer context + # We can't get here if incoming config was rule stop and we had context + # track how far we dip into outer context. Might + # come in handy and we avoid evaluating context dependent + # preds if this is > 0. + if self._dfa is not None and self._dfa.precedenceDfa: + if t.outermostPrecedenceReturn == self._dfa.atnStartState.ruleIndex: + c.precedenceFilterSuppressed = True + c.reachesIntoOuterContext += 1 + if c in closureBusy: + # avoid infinite recursion for right-recursive rules + continue + closureBusy.add(c) + configs.dipsIntoOuterContext = True # TODO: can remove? only care when we add to set per middle of this method + newDepth -= 1 + if ParserATNSimulator.debug: + print("dips into outer ctx: " + str(c)) + else: + if not t.isEpsilon: + if c in closureBusy: + # avoid infinite recursion for EOF* and EOF+ + continue + closureBusy.add(c) + if isinstance(t, RuleTransition): + # latch when newDepth goes negative - once we step out of the entry context we can't return + if newDepth >= 0: + newDepth += 1 + + self.closureCheckingStopState(c, configs, closureBusy, continueCollecting, fullCtx, newDepth, treatEofAsEpsilon) + + + + # Implements first-edge (loop entry) elimination as an optimization + # during closure operations. See antlr/antlr4#1398. + # + # The optimization is to avoid adding the loop entry config when + # the exit path can only lead back to the same + # StarLoopEntryState after popping context at the rule end state + # (traversing only epsilon edges, so we're still in closure, in + # this same rule). + # + # We need to detect any state that can reach loop entry on + # epsilon w/o exiting rule. We don't have to look at FOLLOW + # links, just ensure that all stack tops for config refer to key + # states in LR rule. + # + # To verify we are in the right situation we must first check + # closure is at a StarLoopEntryState generated during LR removal. + # Then we check that each stack top of context is a return state + # from one of these cases: + # + # 1. 'not' expr, '(' type ')' expr. The return state points at loop entry state + # 2. expr op expr. The return state is the block end of internal block of (...)* + # 3. 'between' expr 'and' expr. The return state of 2nd expr reference. + # That state points at block end of internal block of (...)*. + # 4. expr '?' expr ':' expr. The return state points at block end, + # which points at loop entry state. + # + # If any is true for each stack top, then closure does not add a + # config to the current config set for edge[0], the loop entry branch. + # + # Conditions fail if any context for the current config is: + # + # a. empty (we'd fall out of expr to do a global FOLLOW which could + # even be to some weird spot in expr) or, + # b. lies outside of expr or, + # c. lies within expr but at a state not the BlockEndState + # generated during LR removal + # + # Do we need to evaluate predicates ever in closure for this case? + # + # No. Predicates, including precedence predicates, are only + # evaluated when computing a DFA start state. I.e., only before + # the lookahead (but not parser) consumes a token. + # + # There are no epsilon edges allowed in LR rule alt blocks or in + # the "primary" part (ID here). If closure is in + # StarLoopEntryState any lookahead operation will have consumed a + # token as there are no epsilon-paths that lead to + # StarLoopEntryState. We do not have to evaluate predicates + # therefore if we are in the generated StarLoopEntryState of a LR + # rule. Note that when making a prediction starting at that + # decision point, decision d=2, compute-start-state performs + # closure starting at edges[0], edges[1] emanating from + # StarLoopEntryState. That means it is not performing closure on + # StarLoopEntryState during compute-start-state. + # + # How do we know this always gives same prediction answer? + # + # Without predicates, loop entry and exit paths are ambiguous + # upon remaining input +b (in, say, a+b). Either paths lead to + # valid parses. Closure can lead to consuming + immediately or by + # falling out of this call to expr back into expr and loop back + # again to StarLoopEntryState to match +b. In this special case, + # we choose the more efficient path, which is to take the bypass + # path. + # + # The lookahead language has not changed because closure chooses + # one path over the other. Both paths lead to consuming the same + # remaining input during a lookahead operation. If the next token + # is an operator, lookahead will enter the choice block with + # operators. If it is not, lookahead will exit expr. Same as if + # closure had chosen to enter the choice block immediately. + # + # Closure is examining one config (some loopentrystate, some alt, + # context) which means it is considering exactly one alt. Closure + # always copies the same alt to any derived configs. + # + # How do we know this optimization doesn't mess up precedence in + # our parse trees? + # + # Looking through expr from left edge of stat only has to confirm + # that an input, say, a+b+c; begins with any valid interpretation + # of an expression. The precedence actually doesn't matter when + # making a decision in stat seeing through expr. It is only when + # parsing rule expr that we must use the precedence to get the + # right interpretation and, hence, parse tree. + # + # @since 4.6 + # + def canDropLoopEntryEdgeInLeftRecursiveRule(self, config): + # return False + p = config.state + # First check to see if we are in StarLoopEntryState generated during + # left-recursion elimination. For efficiency, also check if + # the context has an empty stack case. If so, it would mean + # global FOLLOW so we can't perform optimization + # Are we the special loop entry/exit state? or SLL wildcard + if p.stateType != ATNState.STAR_LOOP_ENTRY \ + or not p.isPrecedenceDecision \ + or config.context.isEmpty() \ + or config.context.hasEmptyPath(): + return False + + # Require all return states to return back to the same rule + # that p is in. + numCtxs = len(config.context) + for i in range(0, numCtxs): # for each stack context + returnState = self.atn.states[config.context.getReturnState(i)] + if returnState.ruleIndex != p.ruleIndex: + return False + + decisionStartState = p.transitions[0].target + blockEndStateNum = decisionStartState.endState.stateNumber + blockEndState = self.atn.states[blockEndStateNum] + + # Verify that the top of each stack context leads to loop entry/exit + # state through epsilon edges and w/o leaving rule. + for i in range(0, numCtxs): # for each stack context + returnStateNumber = config.context.getReturnState(i) + returnState = self.atn.states[returnStateNumber] + # all states must have single outgoing epsilon edge + if len(returnState.transitions) != 1 or not returnState.transitions[0].isEpsilon: + return False + + # Look for prefix op case like 'not expr', (' type ')' expr + returnStateTarget = returnState.transitions[0].target + if returnState.stateType == ATNState.BLOCK_END and returnStateTarget is p: + continue + + # Look for 'expr op expr' or case where expr's return state is block end + # of (...)* internal block; the block end points to loop back + # which points to p but we don't need to check that + if returnState is blockEndState: + continue + + # Look for ternary expr ? expr : expr. The return state points at block end, + # which points at loop entry state + if returnStateTarget is blockEndState: + continue + + # Look for complex prefix 'between expr and expr' case where 2nd expr's + # return state points at block end state of (...)* internal block + if returnStateTarget.stateType == ATNState.BLOCK_END \ + and len(returnStateTarget.transitions) == 1 \ + and returnStateTarget.transitions[0].isEpsilon \ + and returnStateTarget.transitions[0].target is p: + continue + + # anything else ain't conforming + return False + + return True + + + def getRuleName(self, index:int): + if self.parser is not None and index>=0: + return self.parser.ruleNames[index] + else: + return "" + + epsilonTargetMethods = dict() + epsilonTargetMethods[Transition.RULE] = lambda sim, config, t, collectPredicates, inContext, fullCtx, treatEofAsEpsilon: \ + sim.ruleTransition(config, t) + epsilonTargetMethods[Transition.PRECEDENCE] = lambda sim, config, t, collectPredicates, inContext, fullCtx, treatEofAsEpsilon: \ + sim.precedenceTransition(config, t, collectPredicates, inContext, fullCtx) + epsilonTargetMethods[Transition.PREDICATE] = lambda sim, config, t, collectPredicates, inContext, fullCtx, treatEofAsEpsilon: \ + sim.predTransition(config, t, collectPredicates, inContext, fullCtx) + epsilonTargetMethods[Transition.ACTION] = lambda sim, config, t, collectPredicates, inContext, fullCtx, treatEofAsEpsilon: \ + sim.actionTransition(config, t) + epsilonTargetMethods[Transition.EPSILON] = lambda sim, config, t, collectPredicates, inContext, fullCtx, treatEofAsEpsilon: \ + ATNConfig(state=t.target, config=config) + epsilonTargetMethods[Transition.ATOM] = lambda sim, config, t, collectPredicates, inContext, fullCtx, treatEofAsEpsilon: \ + ATNConfig(state=t.target, config=config) if treatEofAsEpsilon and t.matches(Token.EOF, 0, 1) else None + epsilonTargetMethods[Transition.RANGE] = lambda sim, config, t, collectPredicates, inContext, fullCtx, treatEofAsEpsilon: \ + ATNConfig(state=t.target, config=config) if treatEofAsEpsilon and t.matches(Token.EOF, 0, 1) else None + epsilonTargetMethods[Transition.SET] = lambda sim, config, t, collectPredicates, inContext, fullCtx, treatEofAsEpsilon: \ + ATNConfig(state=t.target, config=config) if treatEofAsEpsilon and t.matches(Token.EOF, 0, 1) else None + + def getEpsilonTarget(self, config:ATNConfig, t:Transition, collectPredicates:bool, inContext:bool, fullCtx:bool, treatEofAsEpsilon:bool): + m = self.epsilonTargetMethods.get(t.serializationType, None) + if m is None: + return None + else: + return m(self, config, t, collectPredicates, inContext, fullCtx, treatEofAsEpsilon) + + def actionTransition(self, config:ATNConfig, t:ActionTransition): + if ParserATNSimulator.debug: + print("ACTION edge " + str(t.ruleIndex) + ":" + str(t.actionIndex)) + return ATNConfig(state=t.target, config=config) + + def precedenceTransition(self, config:ATNConfig, pt:PrecedencePredicateTransition, collectPredicates:bool, inContext:bool, fullCtx:bool): + if ParserATNSimulator.debug: + print("PRED (collectPredicates=" + str(collectPredicates) + ") " + + str(pt.precedence) + ">=_p, ctx dependent=true") + if self.parser is not None: + print("context surrounding pred is " + str(self.parser.getRuleInvocationStack())) + + c = None + if collectPredicates and inContext: + if fullCtx: + # In full context mode, we can evaluate predicates on-the-fly + # during closure, which dramatically reduces the size of + # the config sets. It also obviates the need to test predicates + # later during conflict resolution. + currentPosition = self._input.index + self._input.seek(self._startIndex) + predSucceeds = pt.getPredicate().eval(self.parser, self._outerContext) + self._input.seek(currentPosition) + if predSucceeds: + c = ATNConfig(state=pt.target, config=config) # no pred context + else: + newSemCtx = andContext(config.semanticContext, pt.getPredicate()) + c = ATNConfig(state=pt.target, semantic=newSemCtx, config=config) + else: + c = ATNConfig(state=pt.target, config=config) + + if ParserATNSimulator.debug: + print("config from pred transition=" + str(c)) + return c + + def predTransition(self, config:ATNConfig, pt:PredicateTransition, collectPredicates:bool, inContext:bool, fullCtx:bool): + if ParserATNSimulator.debug: + print("PRED (collectPredicates=" + str(collectPredicates) + ") " + str(pt.ruleIndex) + + ":" + str(pt.predIndex) + ", ctx dependent=" + str(pt.isCtxDependent)) + if self.parser is not None: + print("context surrounding pred is " + str(self.parser.getRuleInvocationStack())) + + c = None + if collectPredicates and (not pt.isCtxDependent or (pt.isCtxDependent and inContext)): + if fullCtx: + # In full context mode, we can evaluate predicates on-the-fly + # during closure, which dramatically reduces the size of + # the config sets. It also obviates the need to test predicates + # later during conflict resolution. + currentPosition = self._input.index + self._input.seek(self._startIndex) + predSucceeds = pt.getPredicate().eval(self.parser, self._outerContext) + self._input.seek(currentPosition) + if predSucceeds: + c = ATNConfig(state=pt.target, config=config) # no pred context + else: + newSemCtx = andContext(config.semanticContext, pt.getPredicate()) + c = ATNConfig(state=pt.target, semantic=newSemCtx, config=config) + else: + c = ATNConfig(state=pt.target, config=config) + + if ParserATNSimulator.debug: + print("config from pred transition=" + str(c)) + return c + + def ruleTransition(self, config:ATNConfig, t:RuleTransition): + if ParserATNSimulator.debug: + print("CALL rule " + self.getRuleName(t.target.ruleIndex) + ", ctx=" + str(config.context)) + returnState = t.followState + newContext = SingletonPredictionContext.create(config.context, returnState.stateNumber) + return ATNConfig(state=t.target, context=newContext, config=config ) + + def getConflictingAlts(self, configs:ATNConfigSet): + altsets = PredictionMode.getConflictingAltSubsets(configs) + return PredictionMode.getAlts(altsets) + + # Sam pointed out a problem with the previous definition, v3, of + # ambiguous states. If we have another state associated with conflicting + # alternatives, we should keep going. For example, the following grammar + # + # s : (ID | ID ID?) ';' ; + # + # When the ATN simulation reaches the state before ';', it has a DFA + # state that looks like: [12|1|[], 6|2|[], 12|2|[]]. Naturally + # 12|1|[] and 12|2|[] conflict, but we cannot stop processing this node + # because alternative to has another way to continue, via [6|2|[]]. + # The key is that we have a single state that has config's only associated + # with a single alternative, 2, and crucially the state transitions + # among the configurations are all non-epsilon transitions. That means + # we don't consider any conflicts that include alternative 2. So, we + # ignore the conflict between alts 1 and 2. We ignore a set of + # conflicting alts when there is an intersection with an alternative + # associated with a single alt state in the state→config-list map. + # + # It's also the case that we might have two conflicting configurations but + # also a 3rd nonconflicting configuration for a different alternative: + # [1|1|[], 1|2|[], 8|3|[]]. This can come about from grammar: + # + # a : A | A | A B ; + # + # After matching input A, we reach the stop state for rule A, state 1. + # State 8 is the state right before B. Clearly alternatives 1 and 2 + # conflict and no amount of further lookahead will separate the two. + # However, alternative 3 will be able to continue and so we do not + # stop working on this state. In the previous example, we're concerned + # with states associated with the conflicting alternatives. Here alt + # 3 is not associated with the conflicting configs, but since we can continue + # looking for input reasonably, I don't declare the state done. We + # ignore a set of conflicting alts when we have an alternative + # that we still need to pursue. + # + + def getConflictingAltsOrUniqueAlt(self, configs:ATNConfigSet): + conflictingAlts = None + if configs.uniqueAlt!= ATN.INVALID_ALT_NUMBER: + conflictingAlts = set() + conflictingAlts.add(configs.uniqueAlt) + else: + conflictingAlts = configs.conflictingAlts + return conflictingAlts + + def getTokenName(self, t:int): + if t==Token.EOF: + return "EOF" + if self.parser is not None and \ + self.parser.literalNames is not None and \ + t < len(self.parser.literalNames): + return self.parser.literalNames[t] + "<" + str(t) + ">" + else: + return str(t) + + def getLookaheadName(self, input:TokenStream): + return self.getTokenName(input.LA(1)) + + # Used for debugging in adaptivePredict around execATN but I cut + # it out for clarity now that alg. works well. We can leave this + # "dead" code for a bit. + # + def dumpDeadEndConfigs(self, nvae:NoViableAltException): + print("dead end configs: ") + for c in nvae.getDeadEndConfigs(): + trans = "no edges" + if len(c.state.transitions)>0: + t = c.state.transitions[0] + if isinstance(t, AtomTransition): + trans = "Atom "+ self.getTokenName(t.label) + elif isinstance(t, SetTransition): + neg = isinstance(t, NotSetTransition) + trans = ("~" if neg else "")+"Set "+ str(t.set) + print(c.toString(self.parser, True) + ":" + trans, file=sys.stderr) + + def noViableAlt(self, input:TokenStream, outerContext:ParserRuleContext, configs:ATNConfigSet, startIndex:int): + return NoViableAltException(self.parser, input, input.get(startIndex), input.LT(1), configs, outerContext) + + def getUniqueAlt(self, configs:ATNConfigSet): + alt = ATN.INVALID_ALT_NUMBER + for c in configs: + if alt == ATN.INVALID_ALT_NUMBER: + alt = c.alt # found first alt + elif c.alt!=alt: + return ATN.INVALID_ALT_NUMBER + return alt + + # + # Add an edge to the DFA, if possible. This method calls + # {@link #addDFAState} to ensure the {@code to} state is present in the + # DFA. If {@code from} is {@code null}, or if {@code t} is outside the + # range of edges that can be represented in the DFA tables, this method + # returns without adding the edge to the DFA. + # + #

        If {@code to} is {@code null}, this method returns {@code null}. + # Otherwise, this method returns the {@link DFAState} returned by calling + # {@link #addDFAState} for the {@code to} state.

        + # + # @param dfa The DFA + # @param from The source state for the edge + # @param t The input symbol + # @param to The target state for the edge + # + # @return If {@code to} is {@code null}, this method returns {@code null}; + # otherwise this method returns the result of calling {@link #addDFAState} + # on {@code to} + # + def addDFAEdge(self, dfa:DFA, from_:DFAState, t:int, to:DFAState): + if ParserATNSimulator.debug: + print("EDGE " + str(from_) + " -> " + str(to) + " upon " + self.getTokenName(t)) + + if to is None: + return None + + to = self.addDFAState(dfa, to) # used existing if possible not incoming + if from_ is None or t < -1 or t > self.atn.maxTokenType: + return to + + if from_.edges is None: + from_.edges = [None] * (self.atn.maxTokenType + 2) + from_.edges[t+1] = to # connect + + if ParserATNSimulator.debug: + names = None if self.parser is None else self.parser.literalNames + print("DFA=\n" + dfa.toString(names)) + + return to + + # + # Add state {@code D} to the DFA if it is not already present, and return + # the actual instance stored in the DFA. If a state equivalent to {@code D} + # is already in the DFA, the existing state is returned. Otherwise this + # method returns {@code D} after adding it to the DFA. + # + #

        If {@code D} is {@link #ERROR}, this method returns {@link #ERROR} and + # does not change the DFA.

        + # + # @param dfa The dfa + # @param D The DFA state to add + # @return The state stored in the DFA. This will be either the existing + # state if {@code D} is already in the DFA, or {@code D} itself if the + # state was not already present. + # + def addDFAState(self, dfa:DFA, D:DFAState): + if D is self.ERROR: + return D + + + existing = dfa.states.get(D, None) + if existing is not None: + return existing + + D.stateNumber = len(dfa.states) + if not D.configs.readonly: + D.configs.optimizeConfigs(self) + D.configs.setReadonly(True) + dfa.states[D] = D + if ParserATNSimulator.debug: + print("adding new DFA state: " + str(D)) + return D + + def reportAttemptingFullContext(self, dfa:DFA, conflictingAlts:set, configs:ATNConfigSet, startIndex:int, stopIndex:int): + if ParserATNSimulator.debug or ParserATNSimulator.retry_debug: + print("reportAttemptingFullContext decision=" + str(dfa.decision) + ":" + str(configs) + + ", input=" + self.parser.getTokenStream().getText(startIndex, stopIndex)) + if self.parser is not None: + self.parser.getErrorListenerDispatch().reportAttemptingFullContext(self.parser, dfa, startIndex, stopIndex, conflictingAlts, configs) + + def reportContextSensitivity(self, dfa:DFA, prediction:int, configs:ATNConfigSet, startIndex:int, stopIndex:int): + if ParserATNSimulator.debug or ParserATNSimulator.retry_debug: + print("reportContextSensitivity decision=" + str(dfa.decision) + ":" + str(configs) + + ", input=" + self.parser.getTokenStream().getText(startIndex, stopIndex)) + if self.parser is not None: + self.parser.getErrorListenerDispatch().reportContextSensitivity(self.parser, dfa, startIndex, stopIndex, prediction, configs) + + # If context sensitive parsing, we know it's ambiguity not conflict# + def reportAmbiguity(self, dfa:DFA, D:DFAState, startIndex:int, stopIndex:int, + exact:bool, ambigAlts:set, configs:ATNConfigSet ): + if ParserATNSimulator.debug or ParserATNSimulator.retry_debug: +# ParserATNPathFinder finder = new ParserATNPathFinder(parser, atn); +# int i = 1; +# for (Transition t : dfa.atnStartState.transitions) { +# print("ALT "+i+"="); +# print(startIndex+".."+stopIndex+", len(input)="+parser.getInputStream().size()); +# TraceTree path = finder.trace(t.target, parser.getContext(), (TokenStream)parser.getInputStream(), +# startIndex, stopIndex); +# if ( path!=null ) { +# print("path = "+path.toStringTree()); +# for (TraceTree leaf : path.leaves) { +# List states = path.getPathToNode(leaf); +# print("states="+states); +# } +# } +# i++; +# } + print("reportAmbiguity " + str(ambigAlts) + ":" + str(configs) + + ", input=" + self.parser.getTokenStream().getText(startIndex, stopIndex)) + if self.parser is not None: + self.parser.getErrorListenerDispatch().reportAmbiguity(self.parser, dfa, startIndex, stopIndex, exact, ambigAlts, configs) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/PredictionMode.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/PredictionMode.py new file mode 100644 index 0000000000000000000000000000000000000000..8e5c73bb47f329d519f4e574ba3a36fc6c4ac29f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/PredictionMode.py @@ -0,0 +1,499 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# +# +# This enumeration defines the prediction modes available in ANTLR 4 along with +# utility methods for analyzing configuration sets for conflicts and/or +# ambiguities. + + +from enum import Enum +from antlr4.atn.ATN import ATN +from antlr4.atn.ATNConfig import ATNConfig +from antlr4.atn.ATNConfigSet import ATNConfigSet +from antlr4.atn.ATNState import RuleStopState +from antlr4.atn.SemanticContext import SemanticContext + +PredictionMode = None + +class PredictionMode(Enum): + # + # The SLL(*) prediction mode. This prediction mode ignores the current + # parser context when making predictions. This is the fastest prediction + # mode, and provides correct results for many grammars. This prediction + # mode is more powerful than the prediction mode provided by ANTLR 3, but + # may result in syntax errors for grammar and input combinations which are + # not SLL. + # + #

        + # When using this prediction mode, the parser will either return a correct + # parse tree (i.e. the same parse tree that would be returned with the + # {@link #LL} prediction mode), or it will report a syntax error. If a + # syntax error is encountered when using the {@link #SLL} prediction mode, + # it may be due to either an actual syntax error in the input or indicate + # that the particular combination of grammar and input requires the more + # powerful {@link #LL} prediction abilities to complete successfully.

        + # + #

        + # This prediction mode does not provide any guarantees for prediction + # behavior for syntactically-incorrect inputs.

        + # + SLL = 0 + # + # The LL(*) prediction mode. This prediction mode allows the current parser + # context to be used for resolving SLL conflicts that occur during + # prediction. This is the fastest prediction mode that guarantees correct + # parse results for all combinations of grammars with syntactically correct + # inputs. + # + #

        + # When using this prediction mode, the parser will make correct decisions + # for all syntactically-correct grammar and input combinations. However, in + # cases where the grammar is truly ambiguous this prediction mode might not + # report a precise answer for exactly which alternatives are + # ambiguous.

        + # + #

        + # This prediction mode does not provide any guarantees for prediction + # behavior for syntactically-incorrect inputs.

        + # + LL = 1 + # + # The LL(*) prediction mode with exact ambiguity detection. In addition to + # the correctness guarantees provided by the {@link #LL} prediction mode, + # this prediction mode instructs the prediction algorithm to determine the + # complete and exact set of ambiguous alternatives for every ambiguous + # decision encountered while parsing. + # + #

        + # This prediction mode may be used for diagnosing ambiguities during + # grammar development. Due to the performance overhead of calculating sets + # of ambiguous alternatives, this prediction mode should be avoided when + # the exact results are not necessary.

        + # + #

        + # This prediction mode does not provide any guarantees for prediction + # behavior for syntactically-incorrect inputs.

        + # + LL_EXACT_AMBIG_DETECTION = 2 + + + # + # Computes the SLL prediction termination condition. + # + #

        + # This method computes the SLL prediction termination condition for both of + # the following cases.

        + # + #
          + #
        • The usual SLL+LL fallback upon SLL conflict
          • + #
        • Pure SLL without LL fallback
          • + #
        + # + #

        COMBINED SLL+LL PARSING

        + # + #

        When LL-fallback is enabled upon SLL conflict, correct predictions are + # ensured regardless of how the termination condition is computed by this + # method. Due to the substantially higher cost of LL prediction, the + # prediction should only fall back to LL when the additional lookahead + # cannot lead to a unique SLL prediction.

        + # + #

        Assuming combined SLL+LL parsing, an SLL configuration set with only + # conflicting subsets should fall back to full LL, even if the + # configuration sets don't resolve to the same alternative (e.g. + # {@code {1,2}} and {@code {3,4}}. If there is at least one non-conflicting + # configuration, SLL could continue with the hopes that more lookahead will + # resolve via one of those non-conflicting configurations.

        + # + #

        Here's the prediction termination rule them: SLL (for SLL+LL parsing) + # stops when it sees only conflicting configuration subsets. In contrast, + # full LL keeps going when there is uncertainty.

        + # + #

        HEURISTIC

        + # + #

        As a heuristic, we stop prediction when we see any conflicting subset + # unless we see a state that only has one alternative associated with it. + # The single-alt-state thing lets prediction continue upon rules like + # (otherwise, it would admit defeat too soon):

        + # + #

        {@code [12|1|[], 6|2|[], 12|2|[]]. s : (ID | ID ID?) ';' ;}

        + # + #

        When the ATN simulation reaches the state before {@code ';'}, it has a + # DFA state that looks like: {@code [12|1|[], 6|2|[], 12|2|[]]}. Naturally + # {@code 12|1|[]} and {@code 12|2|[]} conflict, but we cannot stop + # processing this node because alternative to has another way to continue, + # via {@code [6|2|[]]}.

        + # + #

        It also let's us continue for this rule:

        + # + #

        {@code [1|1|[], 1|2|[], 8|3|[]] a : A | A | A B ;}

        + # + #

        After matching input A, we reach the stop state for rule A, state 1. + # State 8 is the state right before B. Clearly alternatives 1 and 2 + # conflict and no amount of further lookahead will separate the two. + # However, alternative 3 will be able to continue and so we do not stop + # working on this state. In the previous example, we're concerned with + # states associated with the conflicting alternatives. Here alt 3 is not + # associated with the conflicting configs, but since we can continue + # looking for input reasonably, don't declare the state done.

        + # + #

        PURE SLL PARSING

        + # + #

        To handle pure SLL parsing, all we have to do is make sure that we + # combine stack contexts for configurations that differ only by semantic + # predicate. From there, we can do the usual SLL termination heuristic.

        + # + #

        PREDICATES IN SLL+LL PARSING

        + # + #

        SLL decisions don't evaluate predicates until after they reach DFA stop + # states because they need to create the DFA cache that works in all + # semantic situations. In contrast, full LL evaluates predicates collected + # during start state computation so it can ignore predicates thereafter. + # This means that SLL termination detection can totally ignore semantic + # predicates.

        + # + #

        Implementation-wise, {@link ATNConfigSet} combines stack contexts but not + # semantic predicate contexts so we might see two configurations like the + # following.

        + # + #

        {@code (s, 1, x, {}), (s, 1, x', {p})}

        + # + #

        Before testing these configurations against others, we have to merge + # {@code x} and {@code x'} (without modifying the existing configurations). + # For example, we test {@code (x+x')==x''} when looking for conflicts in + # the following configurations.

        + # + #

        {@code (s, 1, x, {}), (s, 1, x', {p}), (s, 2, x'', {})}

        + # + #

        If the configuration set has predicates (as indicated by + # {@link ATNConfigSet#hasSemanticContext}), this algorithm makes a copy of + # the configurations to strip out all of the predicates so that a standard + # {@link ATNConfigSet} will merge everything ignoring predicates.

        + # + @classmethod + def hasSLLConflictTerminatingPrediction(cls, mode:PredictionMode, configs:ATNConfigSet): + # Configs in rule stop states indicate reaching the end of the decision + # rule (local context) or end of start rule (full context). If all + # configs meet this condition, then none of the configurations is able + # to match additional input so we terminate prediction. + # + if cls.allConfigsInRuleStopStates(configs): + return True + + # pure SLL mode parsing + if mode == PredictionMode.SLL: + # Don't bother with combining configs from different semantic + # contexts if we can fail over to full LL; costs more time + # since we'll often fail over anyway. + if configs.hasSemanticContext: + # dup configs, tossing out semantic predicates + dup = ATNConfigSet() + for c in configs: + c = ATNConfig(config=c, semantic=SemanticContext.NONE) + dup.add(c) + configs = dup + # now we have combined contexts for configs with dissimilar preds + + # pure SLL or combined SLL+LL mode parsing + altsets = cls.getConflictingAltSubsets(configs) + return cls.hasConflictingAltSet(altsets) and not cls.hasStateAssociatedWithOneAlt(configs) + + # Checks if any configuration in {@code configs} is in a + # {@link RuleStopState}. Configurations meeting this condition have reached + # the end of the decision rule (local context) or end of start rule (full + # context). + # + # @param configs the configuration set to test + # @return {@code true} if any configuration in {@code configs} is in a + # {@link RuleStopState}, otherwise {@code false} + @classmethod + def hasConfigInRuleStopState(cls, configs:ATNConfigSet): + return any(isinstance(cfg.state, RuleStopState) for cfg in configs) + + # Checks if all configurations in {@code configs} are in a + # {@link RuleStopState}. Configurations meeting this condition have reached + # the end of the decision rule (local context) or end of start rule (full + # context). + # + # @param configs the configuration set to test + # @return {@code true} if all configurations in {@code configs} are in a + # {@link RuleStopState}, otherwise {@code false} + @classmethod + def allConfigsInRuleStopStates(cls, configs:ATNConfigSet): + return all(isinstance(cfg.state, RuleStopState) for cfg in configs) + + # + # Full LL prediction termination. + # + #

        Can we stop looking ahead during ATN simulation or is there some + # uncertainty as to which alternative we will ultimately pick, after + # consuming more input? Even if there are partial conflicts, we might know + # that everything is going to resolve to the same minimum alternative. That + # means we can stop since no more lookahead will change that fact. On the + # other hand, there might be multiple conflicts that resolve to different + # minimums. That means we need more look ahead to decide which of those + # alternatives we should predict.

        + # + #

        The basic idea is to split the set of configurations {@code C}, into + # conflicting subsets {@code (s, _, ctx, _)} and singleton subsets with + # non-conflicting configurations. Two configurations conflict if they have + # identical {@link ATNConfig#state} and {@link ATNConfig#context} values + # but different {@link ATNConfig#alt} value, e.g. {@code (s, i, ctx, _)} + # and {@code (s, j, ctx, _)} for {@code i!=j}.

        + # + #

        Reduce these configuration subsets to the set of possible alternatives. + # You can compute the alternative subsets in one pass as follows:

        + # + #

        {@code A_s,ctx = {i | (s, i, ctx, _)}} for each configuration in + # {@code C} holding {@code s} and {@code ctx} fixed.

        + # + #

        Or in pseudo-code, for each configuration {@code c} in {@code C}:

        + # + # 
        +    # map[c] U= c.{@link ATNConfig#alt alt} # map hash/equals uses s and x, not
+    # alt and not pred
+    #
        + # + #

        The values in {@code map} are the set of {@code A_s,ctx} sets.

        + # + #

        If {@code |A_s,ctx|=1} then there is no conflict associated with + # {@code s} and {@code ctx}.

        + # + #

        Reduce the subsets to singletons by choosing a minimum of each subset. If + # the union of these alternative subsets is a singleton, then no amount of + # more lookahead will help us. We will always pick that alternative. If, + # however, there is more than one alternative, then we are uncertain which + # alternative to predict and must continue looking for resolution. We may + # or may not discover an ambiguity in the future, even if there are no + # conflicting subsets this round.

        + # + #

        The biggest sin is to terminate early because it means we've made a + # decision but were uncertain as to the eventual outcome. We haven't used + # enough lookahead. On the other hand, announcing a conflict too late is no + # big deal; you will still have the conflict. It's just inefficient. It + # might even look until the end of file.

        + # + #

        No special consideration for semantic predicates is required because + # predicates are evaluated on-the-fly for full LL prediction, ensuring that + # no configuration contains a semantic context during the termination + # check.

        + # + #

        CONFLICTING CONFIGS

        + # + #

        Two configurations {@code (s, i, x)} and {@code (s, j, x')}, conflict + # when {@code i!=j} but {@code x=x'}. Because we merge all + # {@code (s, i, _)} configurations together, that means that there are at + # most {@code n} configurations associated with state {@code s} for + # {@code n} possible alternatives in the decision. The merged stacks + # complicate the comparison of configuration contexts {@code x} and + # {@code x'}. Sam checks to see if one is a subset of the other by calling + # merge and checking to see if the merged result is either {@code x} or + # {@code x'}. If the {@code x} associated with lowest alternative {@code i} + # is the superset, then {@code i} is the only possible prediction since the + # others resolve to {@code min(i)} as well. However, if {@code x} is + # associated with {@code j>i} then at least one stack configuration for + # {@code j} is not in conflict with alternative {@code i}. The algorithm + # should keep going, looking for more lookahead due to the uncertainty.

        + # + #

        For simplicity, I'm doing a equality check between {@code x} and + # {@code x'} that lets the algorithm continue to consume lookahead longer + # than necessary. The reason I like the equality is of course the + # simplicity but also because that is the test you need to detect the + # alternatives that are actually in conflict.

        + # + #

        CONTINUE/STOP RULE

        + # + #

        Continue if union of resolved alternative sets from non-conflicting and + # conflicting alternative subsets has more than one alternative. We are + # uncertain about which alternative to predict.

        + # + #

        The complete set of alternatives, {@code [i for (_,i,_)]}, tells us which + # alternatives are still in the running for the amount of input we've + # consumed at this point. The conflicting sets let us to strip away + # configurations that won't lead to more states because we resolve + # conflicts to the configuration with a minimum alternate for the + # conflicting set.

        + # + #

        CASES

        + # + #
          + # + #
        • no conflicts and more than 1 alternative in set => continue
          • + # + #
        • {@code (s, 1, x)}, {@code (s, 2, x)}, {@code (s, 3, z)}, + # {@code (s', 1, y)}, {@code (s', 2, y)} yields non-conflicting set + # {@code {3}} U conflicting sets {@code min({1,2})} U {@code min({1,2})} = + # {@code {1,3}} => continue + #
          • + # + #
        • {@code (s, 1, x)}, {@code (s, 2, x)}, {@code (s', 1, y)}, + # {@code (s', 2, y)}, {@code (s'', 1, z)} yields non-conflicting set + # {@code {1}} U conflicting sets {@code min({1,2})} U {@code min({1,2})} = + # {@code {1}} => stop and predict 1
          • + # + #
        • {@code (s, 1, x)}, {@code (s, 2, x)}, {@code (s', 1, y)}, + # {@code (s', 2, y)} yields conflicting, reduced sets {@code {1}} U + # {@code {1}} = {@code {1}} => stop and predict 1, can announce + # ambiguity {@code {1,2}}
          • + # + #
        • {@code (s, 1, x)}, {@code (s, 2, x)}, {@code (s', 2, y)}, + # {@code (s', 3, y)} yields conflicting, reduced sets {@code {1}} U + # {@code {2}} = {@code {1,2}} => continue
          • + # + #
        • {@code (s, 1, x)}, {@code (s, 2, x)}, {@code (s', 3, y)}, + # {@code (s', 4, y)} yields conflicting, reduced sets {@code {1}} U + # {@code {3}} = {@code {1,3}} => continue
          • + # + #
        + # + #

        EXACT AMBIGUITY DETECTION

        + # + #

        If all states report the same conflicting set of alternatives, then we + # know we have the exact ambiguity set.

        + # + #

        |A_i|>1 and + # A_i = A_j for all i, j.

        + # + #

        In other words, we continue examining lookahead until all {@code A_i} + # have more than one alternative and all {@code A_i} are the same. If + # {@code A={{1,2}, {1,3}}}, then regular LL prediction would terminate + # because the resolved set is {@code {1}}. To determine what the real + # ambiguity is, we have to know whether the ambiguity is between one and + # two or one and three so we keep going. We can only stop prediction when + # we need exact ambiguity detection when the sets look like + # {@code A={{1,2}}} or {@code {{1,2},{1,2}}}, etc...

        + # + @classmethod + def resolvesToJustOneViableAlt(cls, altsets:list): + return cls.getSingleViableAlt(altsets) + + # + # Determines if every alternative subset in {@code altsets} contains more + # than one alternative. + # + # @param altsets a collection of alternative subsets + # @return {@code true} if every {@link BitSet} in {@code altsets} has + # {@link BitSet#cardinality cardinality} > 1, otherwise {@code false} + # + @classmethod + def allSubsetsConflict(cls, altsets:list): + return not cls.hasNonConflictingAltSet(altsets) + + # + # Determines if any single alternative subset in {@code altsets} contains + # exactly one alternative. + # + # @param altsets a collection of alternative subsets + # @return {@code true} if {@code altsets} contains a {@link BitSet} with + # {@link BitSet#cardinality cardinality} 1, otherwise {@code false} + # + @classmethod + def hasNonConflictingAltSet(cls, altsets:list): + return any(len(alts) == 1 for alts in altsets) + + # + # Determines if any single alternative subset in {@code altsets} contains + # more than one alternative. + # + # @param altsets a collection of alternative subsets + # @return {@code true} if {@code altsets} contains a {@link BitSet} with + # {@link BitSet#cardinality cardinality} > 1, otherwise {@code false} + # + @classmethod + def hasConflictingAltSet(cls, altsets:list): + return any(len(alts) > 1 for alts in altsets) + + # + # Determines if every alternative subset in {@code altsets} is equivalent. + # + # @param altsets a collection of alternative subsets + # @return {@code true} if every member of {@code altsets} is equal to the + # others, otherwise {@code false} + # + @classmethod + def allSubsetsEqual(cls, altsets:list): + if not altsets: + return True + first = next(iter(altsets)) + return all(alts == first for alts in iter(altsets)) + + # + # Returns the unique alternative predicted by all alternative subsets in + # {@code altsets}. If no such alternative exists, this method returns + # {@link ATN#INVALID_ALT_NUMBER}. + # + # @param altsets a collection of alternative subsets + # + @classmethod + def getUniqueAlt(cls, altsets:list): + all = cls.getAlts(altsets) + if len(all)==1: + return next(iter(all)) + return ATN.INVALID_ALT_NUMBER + + # Gets the complete set of represented alternatives for a collection of + # alternative subsets. This method returns the union of each {@link BitSet} + # in {@code altsets}. + # + # @param altsets a collection of alternative subsets + # @return the set of represented alternatives in {@code altsets} + # + @classmethod + def getAlts(cls, altsets:list): + return set.union(*altsets) + + # + # This function gets the conflicting alt subsets from a configuration set. + # For each configuration {@code c} in {@code configs}: + # + # 
        +    # map[c] U= c.{@link ATNConfig#alt alt} # map hash/equals uses s and x, not
+    # alt and not pred
+    #
        + # + @classmethod + def getConflictingAltSubsets(cls, configs:ATNConfigSet): + configToAlts = dict() + for c in configs: + h = hash((c.state.stateNumber, c.context)) + alts = configToAlts.get(h, None) + if alts is None: + alts = set() + configToAlts[h] = alts + alts.add(c.alt) + return configToAlts.values() + + # + # Get a map from state to alt subset from a configuration set. For each + # configuration {@code c} in {@code configs}: + # + # 
        +    # map[c.{@link ATNConfig#state state}] U= c.{@link ATNConfig#alt alt}
+    #
        + # + @classmethod + def getStateToAltMap(cls, configs:ATNConfigSet): + m = dict() + for c in configs: + alts = m.get(c.state, None) + if alts is None: + alts = set() + m[c.state] = alts + alts.add(c.alt) + return m + + @classmethod + def hasStateAssociatedWithOneAlt(cls, configs:ATNConfigSet): + return any(len(alts) == 1 for alts in cls.getStateToAltMap(configs).values()) + + @classmethod + def getSingleViableAlt(cls, altsets:list): + viableAlts = set() + for alts in altsets: + minAlt = min(alts) + viableAlts.add(minAlt) + if len(viableAlts)>1 : # more than 1 viable alt + return ATN.INVALID_ALT_NUMBER + return min(viableAlts) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/SemanticContext.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/SemanticContext.py new file mode 100644 index 0000000000000000000000000000000000000000..8f4dc31088d35b73304432c46c54e31c1ab92700 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/SemanticContext.py @@ -0,0 +1,323 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# A tree structure used to record the semantic context in which +# an ATN configuration is valid. It's either a single predicate, +# a conjunction {@code p1&&p2}, or a sum of products {@code p1||p2}. +# +#

        I have scoped the {@link AND}, {@link OR}, and {@link Predicate} subclasses of +# {@link SemanticContext} within the scope of this outer class.

        +# +from antlr4.Recognizer import Recognizer +from antlr4.RuleContext import RuleContext +from io import StringIO + + +class SemanticContext(object): + # + # The default {@link SemanticContext}, which is semantically equivalent to + # a predicate of the form {@code {true}?}. + # + NONE = None + + # + # For context independent predicates, we evaluate them without a local + # context (i.e., null context). That way, we can evaluate them without + # having to create proper rule-specific context during prediction (as + # opposed to the parser, which creates them naturally). In a practical + # sense, this avoids a cast exception from RuleContext to myruleContext. + # + #

        For context dependent predicates, we must pass in a local context so that + # references such as $arg evaluate properly as _localctx.arg. We only + # capture context dependent predicates in the context in which we begin + # prediction, so we passed in the outer context here in case of context + # dependent predicate evaluation.

        + # + def eval(self, parser:Recognizer , outerContext:RuleContext ): + pass + + # + # Evaluate the precedence predicates for the context and reduce the result. + # + # @param parser The parser instance. + # @param outerContext The current parser context object. + # @return The simplified semantic context after precedence predicates are + # evaluated, which will be one of the following values. + #
          + #
        • {@link #NONE}: if the predicate simplifies to {@code true} after + # precedence predicates are evaluated.
          • + #
        • {@code null}: if the predicate simplifies to {@code false} after + # precedence predicates are evaluated.
          • + #
        • {@code this}: if the semantic context is not changed as a result of + # precedence predicate evaluation.
          • + #
        • A non-{@code null} {@link SemanticContext}: the new simplified + # semantic context after precedence predicates are evaluated.
          • + #
        + # + def evalPrecedence(self, parser:Recognizer, outerContext:RuleContext): + return self + +# need forward declaration +AND = None + +def andContext(a:SemanticContext, b:SemanticContext): + if a is None or a is SemanticContext.NONE: + return b + if b is None or b is SemanticContext.NONE: + return a + result = AND(a, b) + if len(result.opnds) == 1: + return result.opnds[0] + else: + return result + +# need forward declaration +OR = None + +def orContext(a:SemanticContext, b:SemanticContext): + if a is None: + return b + if b is None: + return a + if a is SemanticContext.NONE or b is SemanticContext.NONE: + return SemanticContext.NONE + result = OR(a, b) + if len(result.opnds) == 1: + return result.opnds[0] + else: + return result + +def filterPrecedencePredicates(collection:set): + return [context for context in collection if isinstance(context, PrecedencePredicate)] + + +class Predicate(SemanticContext): + __slots__ = ('ruleIndex', 'predIndex', 'isCtxDependent') + + def __init__(self, ruleIndex:int=-1, predIndex:int=-1, isCtxDependent:bool=False): + self.ruleIndex = ruleIndex + self.predIndex = predIndex + self.isCtxDependent = isCtxDependent # e.g., $i ref in pred + + def eval(self, parser:Recognizer , outerContext:RuleContext ): + localctx = outerContext if self.isCtxDependent else None + return parser.sempred(localctx, self.ruleIndex, self.predIndex) + + def __hash__(self): + return hash((self.ruleIndex, self.predIndex, self.isCtxDependent)) + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, Predicate): + return False + return self.ruleIndex == other.ruleIndex and \ + self.predIndex == other.predIndex and \ + self.isCtxDependent == other.isCtxDependent + + def __str__(self): + return "{" + str(self.ruleIndex) + ":" + str(self.predIndex) + "}?" + + +class PrecedencePredicate(SemanticContext): + + def __init__(self, precedence:int=0): + self.precedence = precedence + + def eval(self, parser:Recognizer , outerContext:RuleContext ): + return parser.precpred(outerContext, self.precedence) + + def evalPrecedence(self, parser:Recognizer, outerContext:RuleContext): + if parser.precpred(outerContext, self.precedence): + return SemanticContext.NONE + else: + return None + + def __lt__(self, other): + return self.precedence < other.precedence + + def __hash__(self): + return 31 + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, PrecedencePredicate): + return False + else: + return self.precedence == other.precedence + +# A semantic context which is true whenever none of the contained contexts +# is false. +del AND +class AND(SemanticContext): + __slots__ = 'opnds' + + def __init__(self, a:SemanticContext, b:SemanticContext): + operands = set() + if isinstance( a, AND ): + operands.update(a.opnds) + else: + operands.add(a) + if isinstance( b, AND ): + operands.update(b.opnds) + else: + operands.add(b) + + precedencePredicates = filterPrecedencePredicates(operands) + if len(precedencePredicates)>0: + # interested in the transition with the lowest precedence + reduced = min(precedencePredicates) + operands.add(reduced) + + self.opnds = list(operands) + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, AND): + return False + else: + return self.opnds == other.opnds + + def __hash__(self): + h = 0 + for o in self.opnds: + h = hash((h, o)) + return hash((h, "AND")) + + # + # {@inheritDoc} + # + #

        + # The evaluation of predicates by this context is short-circuiting, but + # unordered.

        + # + def eval(self, parser:Recognizer, outerContext:RuleContext): + return all(opnd.eval(parser, outerContext) for opnd in self.opnds) + + def evalPrecedence(self, parser:Recognizer, outerContext:RuleContext): + differs = False + operands = [] + for context in self.opnds: + evaluated = context.evalPrecedence(parser, outerContext) + differs |= evaluated is not context + if evaluated is None: + # The AND context is false if any element is false + return None + elif evaluated is not SemanticContext.NONE: + # Reduce the result by skipping true elements + operands.append(evaluated) + + if not differs: + return self + + if len(operands)==0: + # all elements were true, so the AND context is true + return SemanticContext.NONE + + result = None + for o in operands: + result = o if result is None else andContext(result, o) + + return result + + def __str__(self): + with StringIO() as buf: + first = True + for o in self.opnds: + if not first: + buf.write("&&") + buf.write(str(o)) + first = False + return buf.getvalue() + +# +# A semantic context which is true whenever at least one of the contained +# contexts is true. +del OR +class OR (SemanticContext): + __slots__ = 'opnds' + + def __init__(self, a:SemanticContext, b:SemanticContext): + operands = set() + if isinstance( a, OR ): + operands.update(a.opnds) + else: + operands.add(a) + if isinstance( b, OR ): + operands.update(b.opnds) + else: + operands.add(b) + + precedencePredicates = filterPrecedencePredicates(operands) + if len(precedencePredicates)>0: + # interested in the transition with the highest precedence + s = sorted(precedencePredicates) + reduced = s[-1] + operands.add(reduced) + + self.opnds = list(operands) + + def __eq__(self, other): + if self is other: + return True + elif not isinstance(other, OR): + return False + else: + return self.opnds == other.opnds + + def __hash__(self): + h = 0 + for o in self.opnds: + h = hash((h, o)) + return hash((h, "OR")) + + #

        + # The evaluation of predicates by this context is short-circuiting, but + # unordered.

        + # + def eval(self, parser:Recognizer, outerContext:RuleContext): + return any(opnd.eval(parser, outerContext) for opnd in self.opnds) + + def evalPrecedence(self, parser:Recognizer, outerContext:RuleContext): + differs = False + operands = [] + for context in self.opnds: + evaluated = context.evalPrecedence(parser, outerContext) + differs |= evaluated is not context + if evaluated is SemanticContext.NONE: + # The OR context is true if any element is true + return SemanticContext.NONE + elif evaluated is not None: + # Reduce the result by skipping false elements + operands.append(evaluated) + + if not differs: + return self + + if len(operands)==0: + # all elements were false, so the OR context is false + return None + + result = None + for o in operands: + result = o if result is None else orContext(result, o) + + return result + + def __str__(self): + with StringIO() as buf: + first = True + for o in self.opnds: + if not first: + buf.write("||") + buf.write(str(o)) + first = False + return buf.getvalue() + + +SemanticContext.NONE = Predicate() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/Transition.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/Transition.py new file mode 100644 index 0000000000000000000000000000000000000000..2e4c9971763c34dbb2690660434c5c99d44193e1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/Transition.py @@ -0,0 +1,268 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# An ATN transition between any two ATN states. Subclasses define +# atom, set, epsilon, action, predicate, rule transitions. +# +#

        This is a one way link. It emanates from a state (usually via a list of +# transitions) and has a target state.

        +# +#

        Since we never have to change the ATN transitions once we construct it, +# we can fix these transitions as specific classes. The DFA transitions +# on the other hand need to update the labels as it adds transitions to +# the states. We'll use the term Edge for the DFA to distinguish them from +# ATN transitions.

        +# +from antlr4.IntervalSet import IntervalSet +from antlr4.Token import Token + +# need forward declarations +from antlr4.atn.SemanticContext import Predicate, PrecedencePredicate + +ATNState = None +RuleStartState = None + +class Transition (object): + __slots__ = ('target','isEpsilon','label') + + # constants for serialization + EPSILON = 1 + RANGE = 2 + RULE = 3 + PREDICATE = 4 # e.g., {isType(input.LT(1))}? + ATOM = 5 + ACTION = 6 + SET = 7 # ~(A|B) or ~atom, wildcard, which convert to next 2 + NOT_SET = 8 + WILDCARD = 9 + PRECEDENCE = 10 + + serializationNames = [ + "INVALID", + "EPSILON", + "RANGE", + "RULE", + "PREDICATE", + "ATOM", + "ACTION", + "SET", + "NOT_SET", + "WILDCARD", + "PRECEDENCE" + ] + + serializationTypes = dict() + + def __init__(self, target:ATNState): + # The target of this transition. + if target is None: + raise Exception("target cannot be null.") + self.target = target + # Are we epsilon, action, sempred? + self.isEpsilon = False + self.label = None + + +# TODO: make all transitions sets? no, should remove set edges +class AtomTransition(Transition): + __slots__ = ('label_', 'serializationType') + + def __init__(self, target:ATNState, label:int): + super().__init__(target) + self.label_ = label # The token type or character value; or, signifies special label. + self.label = self.makeLabel() + self.serializationType = self.ATOM + + def makeLabel(self): + s = IntervalSet() + s.addOne(self.label_) + return s + + def matches( self, symbol:int, minVocabSymbol:int, maxVocabSymbol:int): + return self.label_ == symbol + + def __str__(self): + return str(self.label_) + +class RuleTransition(Transition): + __slots__ = ('ruleIndex', 'precedence', 'followState', 'serializationType') + + def __init__(self, ruleStart:RuleStartState, ruleIndex:int, precedence:int, followState:ATNState): + super().__init__(ruleStart) + self.ruleIndex = ruleIndex # ptr to the rule definition object for this rule ref + self.precedence = precedence + self.followState = followState # what node to begin computations following ref to rule + self.serializationType = self.RULE + self.isEpsilon = True + + def matches( self, symbol:int, minVocabSymbol:int, maxVocabSymbol:int): + return False + + +class EpsilonTransition(Transition): + __slots__ = ('serializationType', 'outermostPrecedenceReturn') + + def __init__(self, target, outermostPrecedenceReturn=-1): + super(EpsilonTransition, self).__init__(target) + self.serializationType = self.EPSILON + self.isEpsilon = True + self.outermostPrecedenceReturn = outermostPrecedenceReturn + + def matches( self, symbol:int, minVocabSymbol:int, maxVocabSymbol:int): + return False + + def __str__(self): + return "epsilon" + +class RangeTransition(Transition): + __slots__ = ('serializationType', 'start', 'stop') + + def __init__(self, target:ATNState, start:int, stop:int): + super().__init__(target) + self.serializationType = self.RANGE + self.start = start + self.stop = stop + self.label = self.makeLabel() + + def makeLabel(self): + s = IntervalSet() + s.addRange(range(self.start, self.stop + 1)) + return s + + def matches( self, symbol:int, minVocabSymbol:int, maxVocabSymbol:int): + return symbol >= self.start and symbol <= self.stop + + def __str__(self): + return "'" + chr(self.start) + "'..'" + chr(self.stop) + "'" + +class AbstractPredicateTransition(Transition): + + def __init__(self, target:ATNState): + super().__init__(target) + + +class PredicateTransition(AbstractPredicateTransition): + __slots__ = ('serializationType', 'ruleIndex', 'predIndex', 'isCtxDependent') + + def __init__(self, target:ATNState, ruleIndex:int, predIndex:int, isCtxDependent:bool): + super().__init__(target) + self.serializationType = self.PREDICATE + self.ruleIndex = ruleIndex + self.predIndex = predIndex + self.isCtxDependent = isCtxDependent # e.g., $i ref in pred + self.isEpsilon = True + + def matches( self, symbol:int, minVocabSymbol:int, maxVocabSymbol:int): + return False + + def getPredicate(self): + return Predicate(self.ruleIndex, self.predIndex, self.isCtxDependent) + + def __str__(self): + return "pred_" + str(self.ruleIndex) + ":" + str(self.predIndex) + +class ActionTransition(Transition): + __slots__ = ('serializationType', 'ruleIndex', 'actionIndex', 'isCtxDependent') + + def __init__(self, target:ATNState, ruleIndex:int, actionIndex:int=-1, isCtxDependent:bool=False): + super().__init__(target) + self.serializationType = self.ACTION + self.ruleIndex = ruleIndex + self.actionIndex = actionIndex + self.isCtxDependent = isCtxDependent # e.g., $i ref in pred + self.isEpsilon = True + + def matches( self, symbol:int, minVocabSymbol:int, maxVocabSymbol:int): + return False + + def __str__(self): + return "action_"+self.ruleIndex+":"+self.actionIndex + +# A transition containing a set of values. +class SetTransition(Transition): + __slots__ = 'serializationType' + + def __init__(self, target:ATNState, set:IntervalSet): + super().__init__(target) + self.serializationType = self.SET + if set is not None: + self.label = set + else: + self.label = IntervalSet() + self.label.addRange(range(Token.INVALID_TYPE, Token.INVALID_TYPE + 1)) + + def matches( self, symbol:int, minVocabSymbol:int, maxVocabSymbol:int): + return symbol in self.label + + def __str__(self): + return str(self.label) + +class NotSetTransition(SetTransition): + + def __init__(self, target:ATNState, set:IntervalSet): + super().__init__(target, set) + self.serializationType = self.NOT_SET + + def matches( self, symbol:int, minVocabSymbol:int, maxVocabSymbol:int): + return symbol >= minVocabSymbol \ + and symbol <= maxVocabSymbol \ + and not super(type(self), self).matches(symbol, minVocabSymbol, maxVocabSymbol) + + def __str__(self): + return '~' + super(type(self), self).__str__() + + +class WildcardTransition(Transition): + __slots__ = 'serializationType' + + def __init__(self, target:ATNState): + super().__init__(target) + self.serializationType = self.WILDCARD + + def matches( self, symbol:int, minVocabSymbol:int, maxVocabSymbol:int): + return symbol >= minVocabSymbol and symbol <= maxVocabSymbol + + def __str__(self): + return "." + + +class PrecedencePredicateTransition(AbstractPredicateTransition): + __slots__ = ('serializationType', 'precedence') + + def __init__(self, target:ATNState, precedence:int): + super().__init__(target) + self.serializationType = self.PRECEDENCE + self.precedence = precedence + self.isEpsilon = True + + def matches( self, symbol:int, minVocabSymbol:int, maxVocabSymbol:int): + return False + + + def getPredicate(self): + return PrecedencePredicate(self.precedence) + + def __str__(self): + return self.precedence + " >= _p" + + +Transition.serializationTypes = { + EpsilonTransition: Transition.EPSILON, + RangeTransition: Transition.RANGE, + RuleTransition: Transition.RULE, + PredicateTransition: Transition.PREDICATE, + AtomTransition: Transition.ATOM, + ActionTransition: Transition.ACTION, + SetTransition: Transition.SET, + NotSetTransition: Transition.NOT_SET, + WildcardTransition: Transition.WILDCARD, + PrecedencePredicateTransition: Transition.PRECEDENCE + } + +del ATNState +del RuleStartState + +from antlr4.atn.ATNState import * diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..216c000dc5ffc8e53cc9c596e420c1e67604d1aa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/atn/__init__.py @@ -0,0 +1 @@ +__author__ = 'ericvergnaud' diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/DFA.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/DFA.py new file mode 100644 index 0000000000000000000000000000000000000000..d80589a6834a48cc6bb718bf33f57156e32ec934 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/DFA.py @@ -0,0 +1,133 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +from antlr4.atn.ATNState import StarLoopEntryState + +from antlr4.atn.ATNConfigSet import ATNConfigSet +from antlr4.atn.ATNState import DecisionState +from antlr4.dfa.DFAState import DFAState +from antlr4.error.Errors import IllegalStateException + + +class DFA(object): + __slots__ = ('atnStartState', 'decision', '_states', 's0', 'precedenceDfa') + + def __init__(self, atnStartState:DecisionState, decision:int=0): + # From which ATN state did we create this DFA? + self.atnStartState = atnStartState + self.decision = decision + # A set of all DFA states. Use {@link Map} so we can get old state back + # ({@link Set} only allows you to see if it's there). + self._states = dict() + self.s0 = None + # {@code true} if this DFA is for a precedence decision; otherwise, + # {@code false}. This is the backing field for {@link #isPrecedenceDfa}, + # {@link #setPrecedenceDfa}. + self.precedenceDfa = False + + if isinstance(atnStartState, StarLoopEntryState): + if atnStartState.isPrecedenceDecision: + self.precedenceDfa = True + precedenceState = DFAState(configs=ATNConfigSet()) + precedenceState.edges = [] + precedenceState.isAcceptState = False + precedenceState.requiresFullContext = False + self.s0 = precedenceState + + + # Get the start state for a specific precedence value. + # + # @param precedence The current precedence. + # @return The start state corresponding to the specified precedence, or + # {@code null} if no start state exists for the specified precedence. + # + # @throws IllegalStateException if this is not a precedence DFA. + # @see #isPrecedenceDfa() + + def getPrecedenceStartState(self, precedence:int): + if not self.precedenceDfa: + raise IllegalStateException("Only precedence DFAs may contain a precedence start state.") + + # s0.edges is never null for a precedence DFA + if precedence < 0 or precedence >= len(self.s0.edges): + return None + return self.s0.edges[precedence] + + # Set the start state for a specific precedence value. + # + # @param precedence The current precedence. + # @param startState The start state corresponding to the specified + # precedence. + # + # @throws IllegalStateException if this is not a precedence DFA. + # @see #isPrecedenceDfa() + # + def setPrecedenceStartState(self, precedence:int, startState:DFAState): + if not self.precedenceDfa: + raise IllegalStateException("Only precedence DFAs may contain a precedence start state.") + + if precedence < 0: + return + + # synchronization on s0 here is ok. when the DFA is turned into a + # precedence DFA, s0 will be initialized once and not updated again + # s0.edges is never null for a precedence DFA + if precedence >= len(self.s0.edges): + ext = [None] * (precedence + 1 - len(self.s0.edges)) + self.s0.edges.extend(ext) + self.s0.edges[precedence] = startState + # + # Sets whether this is a precedence DFA. If the specified value differs + # from the current DFA configuration, the following actions are taken; + # otherwise no changes are made to the current DFA. + # + #
          + #
        • The {@link #states} map is cleared
          • + #
        • If {@code precedenceDfa} is {@code false}, the initial state + # {@link #s0} is set to {@code null}; otherwise, it is initialized to a new + # {@link DFAState} with an empty outgoing {@link DFAState#edges} array to + # store the start states for individual precedence values.
          • + #
        • The {@link #precedenceDfa} field is updated
          • + #
        + # + # @param precedenceDfa {@code true} if this is a precedence DFA; otherwise, + # {@code false} + + def setPrecedenceDfa(self, precedenceDfa:bool): + if self.precedenceDfa != precedenceDfa: + self._states = dict() + if precedenceDfa: + precedenceState = DFAState(configs=ATNConfigSet()) + precedenceState.edges = [] + precedenceState.isAcceptState = False + precedenceState.requiresFullContext = False + self.s0 = precedenceState + else: + self.s0 = None + self.precedenceDfa = precedenceDfa + + @property + def states(self): + return self._states + + # Return a list of all states in this DFA, ordered by state number. + def sortedStates(self): + return sorted(self._states.keys(), key=lambda state: state.stateNumber) + + def __str__(self): + return self.toString(None) + + def toString(self, literalNames:list=None, symbolicNames:list=None): + if self.s0 is None: + return "" + from antlr4.dfa.DFASerializer import DFASerializer + serializer = DFASerializer(self,literalNames,symbolicNames) + return str(serializer) + + def toLexerString(self): + if self.s0 is None: + return "" + from antlr4.dfa.DFASerializer import LexerDFASerializer + serializer = LexerDFASerializer(self) + return str(serializer) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/DFASerializer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/DFASerializer.py new file mode 100644 index 0000000000000000000000000000000000000000..bca0727b76dc54909be0bf60b6d636ec8f539927 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/DFASerializer.py @@ -0,0 +1,73 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ + +# A DFA walker that knows how to dump them to serialized strings.#/ +from io import StringIO +from antlr4 import DFA +from antlr4.Utils import str_list +from antlr4.dfa.DFAState import DFAState + + +class DFASerializer(object): + __slots__ = ('dfa', 'literalNames', 'symbolicNames') + + def __init__(self, dfa:DFA, literalNames:list=None, symbolicNames:list=None): + self.dfa = dfa + self.literalNames = literalNames + self.symbolicNames = symbolicNames + + def __str__(self): + if self.dfa.s0 is None: + return None + with StringIO() as buf: + for s in self.dfa.sortedStates(): + n = 0 + if s.edges is not None: + n = len(s.edges) + for i in range(0, n): + t = s.edges[i] + if t is not None and t.stateNumber != 0x7FFFFFFF: + buf.write(self.getStateString(s)) + label = self.getEdgeLabel(i) + buf.write("-") + buf.write(label) + buf.write("->") + buf.write(self.getStateString(t)) + buf.write('\n') + output = buf.getvalue() + if len(output)==0: + return None + else: + return output + + def getEdgeLabel(self, i:int): + if i==0: + return "EOF" + if self.literalNames is not None and i<=len(self.literalNames): + return self.literalNames[i-1] + elif self.symbolicNames is not None and i<=len(self.symbolicNames): + return self.symbolicNames[i-1] + else: + return str(i-1) + + def getStateString(self, s:DFAState): + n = s.stateNumber + baseStateStr = ( ":" if s.isAcceptState else "") + "s" + str(n) + ( "^" if s.requiresFullContext else "") + if s.isAcceptState: + if s.predicates is not None: + return baseStateStr + "=>" + str_list(s.predicates) + else: + return baseStateStr + "=>" + str(s.prediction) + else: + return baseStateStr + +class LexerDFASerializer(DFASerializer): + + def __init__(self, dfa:DFA): + super().__init__(dfa, None) + + def getEdgeLabel(self, i:int): + return "'" + chr(i) + "'" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/DFAState.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/DFAState.py new file mode 100644 index 0000000000000000000000000000000000000000..51955a448886ea1fa34f0f4dff7fb0976edd1975 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/DFAState.py @@ -0,0 +1,126 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ + +# Map a predicate to a predicted alternative.#/ +from io import StringIO +from antlr4.atn.ATNConfigSet import ATNConfigSet +from antlr4.atn.SemanticContext import SemanticContext + + +class PredPrediction(object): + __slots__ = ('alt', 'pred') + + def __init__(self, pred:SemanticContext, alt:int): + self.alt = alt + self.pred = pred + + def __str__(self): + return "(" + str(self.pred) + ", " + str(self.alt) + ")" + +# A DFA state represents a set of possible ATN configurations. +# As Aho, Sethi, Ullman p. 117 says "The DFA uses its state +# to keep track of all possible states the ATN can be in after +# reading each input symbol. That is to say, after reading +# input a1a2..an, the DFA is in a state that represents the +# subset T of the states of the ATN that are reachable from the +# ATN's start state along some path labeled a1a2..an." +# In conventional NFA→DFA conversion, therefore, the subset T +# would be a bitset representing the set of states the +# ATN could be in. We need to track the alt predicted by each +# state as well, however. More importantly, we need to maintain +# a stack of states, tracking the closure operations as they +# jump from rule to rule, emulating rule invocations (method calls). +# I have to add a stack to simulate the proper lookahead sequences for +# the underlying LL grammar from which the ATN was derived. +# +#

        I use a set of ATNConfig objects not simple states. An ATNConfig +# is both a state (ala normal conversion) and a RuleContext describing +# the chain of rules (if any) followed to arrive at that state.

        +# +#

        A DFA state may have multiple references to a particular state, +# but with different ATN contexts (with same or different alts) +# meaning that state was reached via a different set of rule invocations.

        +#/ +class DFAState(object): + __slots__ = ( + 'stateNumber', 'configs', 'edges', 'isAcceptState', 'prediction', + 'lexerActionExecutor', 'requiresFullContext', 'predicates' + ) + + def __init__(self, stateNumber:int=-1, configs:ATNConfigSet=ATNConfigSet()): + self.stateNumber = stateNumber + self.configs = configs + # {@code edges[symbol]} points to target of symbol. Shift up by 1 so (-1) + # {@link Token#EOF} maps to {@code edges[0]}. + self.edges = None + self.isAcceptState = False + # if accept state, what ttype do we match or alt do we predict? + # This is set to {@link ATN#INVALID_ALT_NUMBER} when {@link #predicates}{@code !=null} or + # {@link #requiresFullContext}. + self.prediction = 0 + self.lexerActionExecutor = None + # Indicates that this state was created during SLL prediction that + # discovered a conflict between the configurations in the state. Future + # {@link ParserATNSimulator#execATN} invocations immediately jumped doing + # full context prediction if this field is true. + self.requiresFullContext = False + # During SLL parsing, this is a list of predicates associated with the + # ATN configurations of the DFA state. When we have predicates, + # {@link #requiresFullContext} is {@code false} since full context prediction evaluates predicates + # on-the-fly. If this is not null, then {@link #prediction} is + # {@link ATN#INVALID_ALT_NUMBER}. + # + #

        We only use these for non-{@link #requiresFullContext} but conflicting states. That + # means we know from the context (it's $ or we don't dip into outer + # context) that it's an ambiguity not a conflict.

        + # + #

        This list is computed by {@link ParserATNSimulator#predicateDFAState}.

        + self.predicates = None + + + + # Get the set of all alts mentioned by all ATN configurations in this + # DFA state. + def getAltSet(self): + if self.configs is not None: + return set(cfg.alt for cfg in self.configs) or None + return None + + def __hash__(self): + return hash(self.configs) + + # Two {@link DFAState} instances are equal if their ATN configuration sets + # are the same. This method is used to see if a state already exists. + # + #

        Because the number of alternatives and number of ATN configurations are + # finite, there is a finite number of DFA states that can be processed. + # This is necessary to show that the algorithm terminates.

        + # + #

        Cannot test the DFA state numbers here because in + # {@link ParserATNSimulator#addDFAState} we need to know if any other state + # exists that has this exact set of ATN configurations. The + # {@link #stateNumber} is irrelevant.

        + def __eq__(self, other): + # compare set of ATN configurations in this set with other + if self is other: + return True + elif not isinstance(other, DFAState): + return False + else: + return self.configs==other.configs + + def __str__(self): + with StringIO() as buf: + buf.write(str(self.stateNumber)) + buf.write(":") + buf.write(str(self.configs)) + if self.isAcceptState: + buf.write("=>") + if self.predicates is not None: + buf.write(str(self.predicates)) + else: + buf.write(str(self.prediction)) + return buf.getvalue() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..216c000dc5ffc8e53cc9c596e420c1e67604d1aa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/dfa/__init__.py @@ -0,0 +1 @@ +__author__ = 'ericvergnaud' diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/DiagnosticErrorListener.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/DiagnosticErrorListener.py new file mode 100644 index 0000000000000000000000000000000000000000..32ac14b63579ce7c984c2e34f2b1c80bebe328ed --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/DiagnosticErrorListener.py @@ -0,0 +1,107 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + + +# +# This implementation of {@link ANTLRErrorListener} can be used to identify +# certain potential correctness and performance problems in grammars. "Reports" +# are made by calling {@link Parser#notifyErrorListeners} with the appropriate +# message. +# +#
          +#
        • Ambiguities: These are cases where more than one path through the +# grammar can match the input.
          • +#
        • Weak context sensitivity: These are cases where full-context +# prediction resolved an SLL conflict to a unique alternative which equaled the +# minimum alternative of the SLL conflict.
          • +#
        • Strong (forced) context sensitivity: These are cases where the +# full-context prediction resolved an SLL conflict to a unique alternative, +# and the minimum alternative of the SLL conflict was found to not be +# a truly viable alternative. Two-stage parsing cannot be used for inputs where +# this situation occurs.
          • +#
        + +from io import StringIO +from antlr4 import Parser, DFA +from antlr4.atn.ATNConfigSet import ATNConfigSet +from antlr4.error.ErrorListener import ErrorListener + +class DiagnosticErrorListener(ErrorListener): + + def __init__(self, exactOnly:bool=True): + # whether all ambiguities or only exact ambiguities are reported. + self.exactOnly = exactOnly + + def reportAmbiguity(self, recognizer:Parser, dfa:DFA, startIndex:int, + stopIndex:int, exact:bool, ambigAlts:set, configs:ATNConfigSet): + if self.exactOnly and not exact: + return + + with StringIO() as buf: + buf.write("reportAmbiguity d=") + buf.write(self.getDecisionDescription(recognizer, dfa)) + buf.write(": ambigAlts=") + buf.write(str(self.getConflictingAlts(ambigAlts, configs))) + buf.write(", input='") + buf.write(recognizer.getTokenStream().getText(startIndex, stopIndex)) + buf.write("'") + recognizer.notifyErrorListeners(buf.getvalue()) + + + def reportAttemptingFullContext(self, recognizer:Parser, dfa:DFA, startIndex:int, + stopIndex:int, conflictingAlts:set, configs:ATNConfigSet): + with StringIO() as buf: + buf.write("reportAttemptingFullContext d=") + buf.write(self.getDecisionDescription(recognizer, dfa)) + buf.write(", input='") + buf.write(recognizer.getTokenStream().getText(startIndex, stopIndex)) + buf.write("'") + recognizer.notifyErrorListeners(buf.getvalue()) + + def reportContextSensitivity(self, recognizer:Parser, dfa:DFA, startIndex:int, + stopIndex:int, prediction:int, configs:ATNConfigSet): + with StringIO() as buf: + buf.write("reportContextSensitivity d=") + buf.write(self.getDecisionDescription(recognizer, dfa)) + buf.write(", input='") + buf.write(recognizer.getTokenStream().getText(startIndex, stopIndex)) + buf.write("'") + recognizer.notifyErrorListeners(buf.getvalue()) + + def getDecisionDescription(self, recognizer:Parser, dfa:DFA): + decision = dfa.decision + ruleIndex = dfa.atnStartState.ruleIndex + + ruleNames = recognizer.ruleNames + if ruleIndex < 0 or ruleIndex >= len(ruleNames): + return str(decision) + + ruleName = ruleNames[ruleIndex] + if ruleName is None or len(ruleName)==0: + return str(decision) + + return str(decision) + " (" + ruleName + ")" + + # + # Computes the set of conflicting or ambiguous alternatives from a + # configuration set, if that information was not already provided by the + # parser. + # + # @param reportedAlts The set of conflicting or ambiguous alternatives, as + # reported by the parser. + # @param configs The conflicting or ambiguous configuration set. + # @return Returns {@code reportedAlts} if it is not {@code null}, otherwise + # returns the set of alternatives represented in {@code configs}. + # + def getConflictingAlts(self, reportedAlts:set, configs:ATNConfigSet): + if reportedAlts is not None: + return reportedAlts + + result = set() + for config in configs: + result.add(config.alt) + + return result diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/ErrorListener.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/ErrorListener.py new file mode 100644 index 0000000000000000000000000000000000000000..933264d431b9829f43a38d5f0f07c83bbad703a0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/ErrorListener.py @@ -0,0 +1,72 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. + +# Provides an empty default implementation of {@link ANTLRErrorListener}. The +# default implementation of each method does nothing, but can be overridden as +# necessary. + + +import sys + +class ErrorListener(object): + + def syntaxError(self, recognizer, offendingSymbol, line, column, msg, e): + pass + + def reportAmbiguity(self, recognizer, dfa, startIndex, stopIndex, exact, ambigAlts, configs): + pass + + def reportAttemptingFullContext(self, recognizer, dfa, startIndex, stopIndex, conflictingAlts, configs): + pass + + def reportContextSensitivity(self, recognizer, dfa, startIndex, stopIndex, prediction, configs): + pass + +class ConsoleErrorListener(ErrorListener): + # + # Provides a default instance of {@link ConsoleErrorListener}. + # + INSTANCE = None + + # + # {@inheritDoc} + # + #

        + # This implementation prints messages to {@link System#err} containing the + # values of {@code line}, {@code charPositionInLine}, and {@code msg} using + # the following format.

        + # + # 
        +    # line line:charPositionInLine msg
+    #
        + # + def syntaxError(self, recognizer, offendingSymbol, line, column, msg, e): + print("line " + str(line) + ":" + str(column) + " " + msg, file=sys.stderr) + +ConsoleErrorListener.INSTANCE = ConsoleErrorListener() + +class ProxyErrorListener(ErrorListener): + + def __init__(self, delegates): + super().__init__() + if delegates is None: + raise ReferenceError("delegates") + self.delegates = delegates + + def syntaxError(self, recognizer, offendingSymbol, line, column, msg, e): + for delegate in self.delegates: + delegate.syntaxError(recognizer, offendingSymbol, line, column, msg, e) + + def reportAmbiguity(self, recognizer, dfa, startIndex, stopIndex, exact, ambigAlts, configs): + for delegate in self.delegates: + delegate.reportAmbiguity(recognizer, dfa, startIndex, stopIndex, exact, ambigAlts, configs) + + def reportAttemptingFullContext(self, recognizer, dfa, startIndex, stopIndex, conflictingAlts, configs): + for delegate in self.delegates: + delegate.reportAttemptingFullContext(recognizer, dfa, startIndex, stopIndex, conflictingAlts, configs) + + def reportContextSensitivity(self, recognizer, dfa, startIndex, stopIndex, prediction, configs): + for delegate in self.delegates: + delegate.reportContextSensitivity(recognizer, dfa, startIndex, stopIndex, prediction, configs) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/ErrorStrategy.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/ErrorStrategy.py new file mode 100644 index 0000000000000000000000000000000000000000..0f7caadb240445e6d997ad582a51836f95cab5c5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/ErrorStrategy.py @@ -0,0 +1,709 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# +import sys +from antlr4.IntervalSet import IntervalSet + +from antlr4.Token import Token +from antlr4.atn.ATNState import ATNState +from antlr4.error.Errors import RecognitionException, NoViableAltException, InputMismatchException, \ + FailedPredicateException, ParseCancellationException + +# need forward declaration +Parser = None + +class ErrorStrategy(object): + + def reset(self, recognizer:Parser): + pass + + def recoverInline(self, recognizer:Parser): + pass + + def recover(self, recognizer:Parser, e:RecognitionException): + pass + + def sync(self, recognizer:Parser): + pass + + def inErrorRecoveryMode(self, recognizer:Parser): + pass + + def reportError(self, recognizer:Parser, e:RecognitionException): + pass + + +# This is the default implementation of {@link ANTLRErrorStrategy} used for +# error reporting and recovery in ANTLR parsers. +# +class DefaultErrorStrategy(ErrorStrategy): + + def __init__(self): + super().__init__() + # Indicates whether the error strategy is currently "recovering from an + # error". This is used to suppress reporting multiple error messages while + # attempting to recover from a detected syntax error. + # + # @see #inErrorRecoveryMode + # + self.errorRecoveryMode = False + + # The index into the input stream where the last error occurred. + # This is used to prevent infinite loops where an error is found + # but no token is consumed during recovery...another error is found, + # ad nauseum. This is a failsafe mechanism to guarantee that at least + # one token/tree node is consumed for two errors. + # + self.lastErrorIndex = -1 + self.lastErrorStates = None + self.nextTokensContext = None + self.nextTokenState = 0 + + #

        The default implementation simply calls {@link #endErrorCondition} to + # ensure that the handler is not in error recovery mode.

        + def reset(self, recognizer:Parser): + self.endErrorCondition(recognizer) + + # + # This method is called to enter error recovery mode when a recognition + # exception is reported. + # + # @param recognizer the parser instance + # + def beginErrorCondition(self, recognizer:Parser): + self.errorRecoveryMode = True + + def inErrorRecoveryMode(self, recognizer:Parser): + return self.errorRecoveryMode + + # + # This method is called to leave error recovery mode after recovering from + # a recognition exception. + # + # @param recognizer + # + def endErrorCondition(self, recognizer:Parser): + self.errorRecoveryMode = False + self.lastErrorStates = None + self.lastErrorIndex = -1 + + # + # {@inheritDoc} + # + #

        The default implementation simply calls {@link #endErrorCondition}.

        + # + def reportMatch(self, recognizer:Parser): + self.endErrorCondition(recognizer) + + # + # {@inheritDoc} + # + #

        The default implementation returns immediately if the handler is already + # in error recovery mode. Otherwise, it calls {@link #beginErrorCondition} + # and dispatches the reporting task based on the runtime type of {@code e} + # according to the following table.

        + # + #
          + #
        • {@link NoViableAltException}: Dispatches the call to + # {@link #reportNoViableAlternative}
          • + #
        • {@link InputMismatchException}: Dispatches the call to + # {@link #reportInputMismatch}
          • + #
        • {@link FailedPredicateException}: Dispatches the call to + # {@link #reportFailedPredicate}
          • + #
        • All other types: calls {@link Parser#notifyErrorListeners} to report + # the exception
          • + #
        + # + def reportError(self, recognizer:Parser, e:RecognitionException): + # if we've already reported an error and have not matched a token + # yet successfully, don't report any errors. + if self.inErrorRecoveryMode(recognizer): + return # don't report spurious errors + self.beginErrorCondition(recognizer) + if isinstance( e, NoViableAltException ): + self.reportNoViableAlternative(recognizer, e) + elif isinstance( e, InputMismatchException ): + self.reportInputMismatch(recognizer, e) + elif isinstance( e, FailedPredicateException ): + self.reportFailedPredicate(recognizer, e) + else: + print("unknown recognition error type: " + type(e).__name__) + recognizer.notifyErrorListeners(e.message, e.offendingToken, e) + + # + # {@inheritDoc} + # + #

        The default implementation resynchronizes the parser by consuming tokens + # until we find one in the resynchronization set--loosely the set of tokens + # that can follow the current rule.

        + # + def recover(self, recognizer:Parser, e:RecognitionException): + if self.lastErrorIndex==recognizer.getInputStream().index \ + and self.lastErrorStates is not None \ + and recognizer.state in self.lastErrorStates: + # uh oh, another error at same token index and previously-visited + # state in ATN; must be a case where LT(1) is in the recovery + # token set so nothing got consumed. Consume a single token + # at least to prevent an infinite loop; this is a failsafe. + recognizer.consume() + + self.lastErrorIndex = recognizer._input.index + if self.lastErrorStates is None: + self.lastErrorStates = [] + self.lastErrorStates.append(recognizer.state) + followSet = self.getErrorRecoverySet(recognizer) + self.consumeUntil(recognizer, followSet) + + # The default implementation of {@link ANTLRErrorStrategy#sync} makes sure + # that the current lookahead symbol is consistent with what were expecting + # at this point in the ATN. You can call this anytime but ANTLR only + # generates code to check before subrules/loops and each iteration. + # + #

        Implements Jim Idle's magic sync mechanism in closures and optional + # subrules. E.g.,

        + # + # 
        +    # a : sync ( stuff sync )* ;
+    # sync : {consume to what can follow sync} ;
+    #
        + # + # At the start of a sub rule upon error, {@link #sync} performs single + # token deletion, if possible. If it can't do that, it bails on the current + # rule and uses the default error recovery, which consumes until the + # resynchronization set of the current rule. + # + #

        If the sub rule is optional ({@code (...)?}, {@code (...)*}, or block + # with an empty alternative), then the expected set includes what follows + # the subrule.

        + # + #

        During loop iteration, it consumes until it sees a token that can start a + # sub rule or what follows loop. Yes, that is pretty aggressive. We opt to + # stay in the loop as long as possible.

        + # + #

        ORIGINS

        + # + #

        Previous versions of ANTLR did a poor job of their recovery within loops. + # A single mismatch token or missing token would force the parser to bail + # out of the entire rules surrounding the loop. So, for rule

        + # + # 
        +    # classDef : 'class' ID '{' member* '}'
+    #
        + # + # input with an extra token between members would force the parser to + # consume until it found the next class definition rather than the next + # member definition of the current class. + # + #

        This functionality cost a little bit of effort because the parser has to + # compare token set at the start of the loop and at each iteration. If for + # some reason speed is suffering for you, you can turn off this + # functionality by simply overriding this method as a blank { }.

        + # + def sync(self, recognizer:Parser): + # If already recovering, don't try to sync + if self.inErrorRecoveryMode(recognizer): + return + + s = recognizer._interp.atn.states[recognizer.state] + la = recognizer.getTokenStream().LA(1) + # try cheaper subset first; might get lucky. seems to shave a wee bit off + nextTokens = recognizer.atn.nextTokens(s) + if la in nextTokens: + self.nextTokensContext = None + self.nextTokenState = ATNState.INVALID_STATE_NUMBER + return + elif Token.EPSILON in nextTokens: + if self.nextTokensContext is None: + # It's possible the next token won't match information tracked + # by sync is restricted for performance. + self.nextTokensContext = recognizer._ctx + self.nextTokensState = recognizer._stateNumber + return + + if s.stateType in [ATNState.BLOCK_START, ATNState.STAR_BLOCK_START, + ATNState.PLUS_BLOCK_START, ATNState.STAR_LOOP_ENTRY]: + # report error and recover if possible + if self.singleTokenDeletion(recognizer)is not None: + return + else: + raise InputMismatchException(recognizer) + + elif s.stateType in [ATNState.PLUS_LOOP_BACK, ATNState.STAR_LOOP_BACK]: + self.reportUnwantedToken(recognizer) + expecting = recognizer.getExpectedTokens() + whatFollowsLoopIterationOrRule = expecting.addSet(self.getErrorRecoverySet(recognizer)) + self.consumeUntil(recognizer, whatFollowsLoopIterationOrRule) + + else: + # do nothing if we can't identify the exact kind of ATN state + pass + + # This is called by {@link #reportError} when the exception is a + # {@link NoViableAltException}. + # + # @see #reportError + # + # @param recognizer the parser instance + # @param e the recognition exception + # + def reportNoViableAlternative(self, recognizer:Parser, e:NoViableAltException): + tokens = recognizer.getTokenStream() + if tokens is not None: + if e.startToken.type==Token.EOF: + input = "" + else: + input = tokens.getText(e.startToken, e.offendingToken) + else: + input = "" + msg = "no viable alternative at input " + self.escapeWSAndQuote(input) + recognizer.notifyErrorListeners(msg, e.offendingToken, e) + + # + # This is called by {@link #reportError} when the exception is an + # {@link InputMismatchException}. + # + # @see #reportError + # + # @param recognizer the parser instance + # @param e the recognition exception + # + def reportInputMismatch(self, recognizer:Parser, e:InputMismatchException): + msg = "mismatched input " + self.getTokenErrorDisplay(e.offendingToken) \ + + " expecting " + e.getExpectedTokens().toString(recognizer.literalNames, recognizer.symbolicNames) + recognizer.notifyErrorListeners(msg, e.offendingToken, e) + + # + # This is called by {@link #reportError} when the exception is a + # {@link FailedPredicateException}. + # + # @see #reportError + # + # @param recognizer the parser instance + # @param e the recognition exception + # + def reportFailedPredicate(self, recognizer, e): + ruleName = recognizer.ruleNames[recognizer._ctx.getRuleIndex()] + msg = "rule " + ruleName + " " + e.message + recognizer.notifyErrorListeners(msg, e.offendingToken, e) + + # This method is called to report a syntax error which requires the removal + # of a token from the input stream. At the time this method is called, the + # erroneous symbol is current {@code LT(1)} symbol and has not yet been + # removed from the input stream. When this method returns, + # {@code recognizer} is in error recovery mode. + # + #

        This method is called when {@link #singleTokenDeletion} identifies + # single-token deletion as a viable recovery strategy for a mismatched + # input error.

        + # + #

        The default implementation simply returns if the handler is already in + # error recovery mode. Otherwise, it calls {@link #beginErrorCondition} to + # enter error recovery mode, followed by calling + # {@link Parser#notifyErrorListeners}.

        + # + # @param recognizer the parser instance + # + def reportUnwantedToken(self, recognizer:Parser): + if self.inErrorRecoveryMode(recognizer): + return + + self.beginErrorCondition(recognizer) + t = recognizer.getCurrentToken() + tokenName = self.getTokenErrorDisplay(t) + expecting = self.getExpectedTokens(recognizer) + msg = "extraneous input " + tokenName + " expecting " \ + + expecting.toString(recognizer.literalNames, recognizer.symbolicNames) + recognizer.notifyErrorListeners(msg, t, None) + + # This method is called to report a syntax error which requires the + # insertion of a missing token into the input stream. At the time this + # method is called, the missing token has not yet been inserted. When this + # method returns, {@code recognizer} is in error recovery mode. + # + #

        This method is called when {@link #singleTokenInsertion} identifies + # single-token insertion as a viable recovery strategy for a mismatched + # input error.

        + # + #

        The default implementation simply returns if the handler is already in + # error recovery mode. Otherwise, it calls {@link #beginErrorCondition} to + # enter error recovery mode, followed by calling + # {@link Parser#notifyErrorListeners}.

        + # + # @param recognizer the parser instance + # + def reportMissingToken(self, recognizer:Parser): + if self.inErrorRecoveryMode(recognizer): + return + self.beginErrorCondition(recognizer) + t = recognizer.getCurrentToken() + expecting = self.getExpectedTokens(recognizer) + msg = "missing " + expecting.toString(recognizer.literalNames, recognizer.symbolicNames) \ + + " at " + self.getTokenErrorDisplay(t) + recognizer.notifyErrorListeners(msg, t, None) + + #

        The default implementation attempts to recover from the mismatched input + # by using single token insertion and deletion as described below. If the + # recovery attempt fails, this method throws an + # {@link InputMismatchException}.

        + # + #

        EXTRA TOKEN (single token deletion)

        + # + #

        {@code LA(1)} is not what we are looking for. If {@code LA(2)} has the + # right token, however, then assume {@code LA(1)} is some extra spurious + # token and delete it. Then consume and return the next token (which was + # the {@code LA(2)} token) as the successful result of the match operation.

        + # + #

        This recovery strategy is implemented by {@link #singleTokenDeletion}.

        + # + #

        MISSING TOKEN (single token insertion)

        + # + #

        If current token (at {@code LA(1)}) is consistent with what could come + # after the expected {@code LA(1)} token, then assume the token is missing + # and use the parser's {@link TokenFactory} to create it on the fly. The + # "insertion" is performed by returning the created token as the successful + # result of the match operation.

        + # + #

        This recovery strategy is implemented by {@link #singleTokenInsertion}.

        + # + #

        EXAMPLE

        + # + #

        For example, Input {@code i=(3;} is clearly missing the {@code ')'}. When + # the parser returns from the nested call to {@code expr}, it will have + # call chain:

        + # + # 
        +    # stat → expr → atom
+    #
        + # + # and it will be trying to match the {@code ')'} at this point in the + # derivation: + # + # 
        +    # => ID '=' '(' INT ')' ('+' atom)* ';'
+    #                    ^
+    #
        + # + # The attempt to match {@code ')'} will fail when it sees {@code ';'} and + # call {@link #recoverInline}. To recover, it sees that {@code LA(1)==';'} + # is in the set of tokens that can follow the {@code ')'} token reference + # in rule {@code atom}. It can assume that you forgot the {@code ')'}. + # + def recoverInline(self, recognizer:Parser): + # SINGLE TOKEN DELETION + matchedSymbol = self.singleTokenDeletion(recognizer) + if matchedSymbol is not None: + # we have deleted the extra token. + # now, move past ttype token as if all were ok + recognizer.consume() + return matchedSymbol + + # SINGLE TOKEN INSERTION + if self.singleTokenInsertion(recognizer): + return self.getMissingSymbol(recognizer) + + # even that didn't work; must throw the exception + raise InputMismatchException(recognizer) + + # + # This method implements the single-token insertion inline error recovery + # strategy. It is called by {@link #recoverInline} if the single-token + # deletion strategy fails to recover from the mismatched input. If this + # method returns {@code true}, {@code recognizer} will be in error recovery + # mode. + # + #

        This method determines whether or not single-token insertion is viable by + # checking if the {@code LA(1)} input symbol could be successfully matched + # if it were instead the {@code LA(2)} symbol. If this method returns + # {@code true}, the caller is responsible for creating and inserting a + # token with the correct type to produce this behavior.

        + # + # @param recognizer the parser instance + # @return {@code true} if single-token insertion is a viable recovery + # strategy for the current mismatched input, otherwise {@code false} + # + def singleTokenInsertion(self, recognizer:Parser): + currentSymbolType = recognizer.getTokenStream().LA(1) + # if current token is consistent with what could come after current + # ATN state, then we know we're missing a token; error recovery + # is free to conjure up and insert the missing token + atn = recognizer._interp.atn + currentState = atn.states[recognizer.state] + next = currentState.transitions[0].target + expectingAtLL2 = atn.nextTokens(next, recognizer._ctx) + if currentSymbolType in expectingAtLL2: + self.reportMissingToken(recognizer) + return True + else: + return False + + # This method implements the single-token deletion inline error recovery + # strategy. It is called by {@link #recoverInline} to attempt to recover + # from mismatched input. If this method returns null, the parser and error + # handler state will not have changed. If this method returns non-null, + # {@code recognizer} will not be in error recovery mode since the + # returned token was a successful match. + # + #

        If the single-token deletion is successful, this method calls + # {@link #reportUnwantedToken} to report the error, followed by + # {@link Parser#consume} to actually "delete" the extraneous token. Then, + # before returning {@link #reportMatch} is called to signal a successful + # match.

        + # + # @param recognizer the parser instance + # @return the successfully matched {@link Token} instance if single-token + # deletion successfully recovers from the mismatched input, otherwise + # {@code null} + # + def singleTokenDeletion(self, recognizer:Parser): + nextTokenType = recognizer.getTokenStream().LA(2) + expecting = self.getExpectedTokens(recognizer) + if nextTokenType in expecting: + self.reportUnwantedToken(recognizer) + # print("recoverFromMismatchedToken deleting " \ + # + str(recognizer.getTokenStream().LT(1)) \ + # + " since " + str(recognizer.getTokenStream().LT(2)) \ + # + " is what we want", file=sys.stderr) + recognizer.consume() # simply delete extra token + # we want to return the token we're actually matching + matchedSymbol = recognizer.getCurrentToken() + self.reportMatch(recognizer) # we know current token is correct + return matchedSymbol + else: + return None + + # Conjure up a missing token during error recovery. + # + # The recognizer attempts to recover from single missing + # symbols. But, actions might refer to that missing symbol. + # For example, x=ID {f($x);}. The action clearly assumes + # that there has been an identifier matched previously and that + # $x points at that token. If that token is missing, but + # the next token in the stream is what we want we assume that + # this token is missing and we keep going. Because we + # have to return some token to replace the missing token, + # we have to conjure one up. This method gives the user control + # over the tokens returned for missing tokens. Mostly, + # you will want to create something special for identifier + # tokens. For literals such as '{' and ',', the default + # action in the parser or tree parser works. It simply creates + # a CommonToken of the appropriate type. The text will be the token. + # If you change what tokens must be created by the lexer, + # override this method to create the appropriate tokens. + # + def getMissingSymbol(self, recognizer:Parser): + currentSymbol = recognizer.getCurrentToken() + expecting = self.getExpectedTokens(recognizer) + expectedTokenType = expecting[0] # get any element + if expectedTokenType==Token.EOF: + tokenText = "" + else: + name = None + if expectedTokenType < len(recognizer.literalNames): + name = recognizer.literalNames[expectedTokenType] + if name is None and expectedTokenType < len(recognizer.symbolicNames): + name = recognizer.symbolicNames[expectedTokenType] + tokenText = "" + current = currentSymbol + lookback = recognizer.getTokenStream().LT(-1) + if current.type==Token.EOF and lookback is not None: + current = lookback + return recognizer.getTokenFactory().create(current.source, + expectedTokenType, tokenText, Token.DEFAULT_CHANNEL, + -1, -1, current.line, current.column) + + def getExpectedTokens(self, recognizer:Parser): + return recognizer.getExpectedTokens() + + # How should a token be displayed in an error message? The default + # is to display just the text, but during development you might + # want to have a lot of information spit out. Override in that case + # to use t.toString() (which, for CommonToken, dumps everything about + # the token). This is better than forcing you to override a method in + # your token objects because you don't have to go modify your lexer + # so that it creates a new Java type. + # + def getTokenErrorDisplay(self, t:Token): + if t is None: + return "" + s = t.text + if s is None: + if t.type==Token.EOF: + s = "" + else: + s = "<" + str(t.type) + ">" + return self.escapeWSAndQuote(s) + + def escapeWSAndQuote(self, s:str): + s = s.replace("\n","\\n") + s = s.replace("\r","\\r") + s = s.replace("\t","\\t") + return "'" + s + "'" + + # Compute the error recovery set for the current rule. During + # rule invocation, the parser pushes the set of tokens that can + # follow that rule reference on the stack; this amounts to + # computing FIRST of what follows the rule reference in the + # enclosing rule. See LinearApproximator.FIRST(). + # This local follow set only includes tokens + # from within the rule; i.e., the FIRST computation done by + # ANTLR stops at the end of a rule. + # + # EXAMPLE + # + # When you find a "no viable alt exception", the input is not + # consistent with any of the alternatives for rule r. The best + # thing to do is to consume tokens until you see something that + # can legally follow a call to r#or* any rule that called r. + # You don't want the exact set of viable next tokens because the + # input might just be missing a token--you might consume the + # rest of the input looking for one of the missing tokens. + # + # Consider grammar: + # + # a : '[' b ']' + # | '(' b ')' + # ; + # b : c '^' INT ; + # c : ID + # | INT + # ; + # + # At each rule invocation, the set of tokens that could follow + # that rule is pushed on a stack. Here are the various + # context-sensitive follow sets: + # + # FOLLOW(b1_in_a) = FIRST(']') = ']' + # FOLLOW(b2_in_a) = FIRST(')') = ')' + # FOLLOW(c_in_b) = FIRST('^') = '^' + # + # Upon erroneous input "[]", the call chain is + # + # a -> b -> c + # + # and, hence, the follow context stack is: + # + # depth follow set start of rule execution + # 0 a (from main()) + # 1 ']' b + # 2 '^' c + # + # Notice that ')' is not included, because b would have to have + # been called from a different context in rule a for ')' to be + # included. + # + # For error recovery, we cannot consider FOLLOW(c) + # (context-sensitive or otherwise). We need the combined set of + # all context-sensitive FOLLOW sets--the set of all tokens that + # could follow any reference in the call chain. We need to + # resync to one of those tokens. Note that FOLLOW(c)='^' and if + # we resync'd to that token, we'd consume until EOF. We need to + # sync to context-sensitive FOLLOWs for a, b, and c: {']','^'}. + # In this case, for input "[]", LA(1) is ']' and in the set, so we would + # not consume anything. After printing an error, rule c would + # return normally. Rule b would not find the required '^' though. + # At this point, it gets a mismatched token error and throws an + # exception (since LA(1) is not in the viable following token + # set). The rule exception handler tries to recover, but finds + # the same recovery set and doesn't consume anything. Rule b + # exits normally returning to rule a. Now it finds the ']' (and + # with the successful match exits errorRecovery mode). + # + # So, you can see that the parser walks up the call chain looking + # for the token that was a member of the recovery set. + # + # Errors are not generated in errorRecovery mode. + # + # ANTLR's error recovery mechanism is based upon original ideas: + # + # "Algorithms + Data Structures = Programs" by Niklaus Wirth + # + # and + # + # "A note on error recovery in recursive descent parsers": + # http:#portal.acm.org/citation.cfm?id=947902.947905 + # + # Later, Josef Grosch had some good ideas: + # + # "Efficient and Comfortable Error Recovery in Recursive Descent + # Parsers": + # ftp:#www.cocolab.com/products/cocktail/doca4.ps/ell.ps.zip + # + # Like Grosch I implement context-sensitive FOLLOW sets that are combined + # at run-time upon error to avoid overhead during parsing. + # + def getErrorRecoverySet(self, recognizer:Parser): + atn = recognizer._interp.atn + ctx = recognizer._ctx + recoverSet = IntervalSet() + while ctx is not None and ctx.invokingState>=0: + # compute what follows who invoked us + invokingState = atn.states[ctx.invokingState] + rt = invokingState.transitions[0] + follow = atn.nextTokens(rt.followState) + recoverSet.addSet(follow) + ctx = ctx.parentCtx + recoverSet.removeOne(Token.EPSILON) + return recoverSet + + # Consume tokens until one matches the given token set.# + def consumeUntil(self, recognizer:Parser, set_:set): + ttype = recognizer.getTokenStream().LA(1) + while ttype != Token.EOF and not ttype in set_: + recognizer.consume() + ttype = recognizer.getTokenStream().LA(1) + + +# +# This implementation of {@link ANTLRErrorStrategy} responds to syntax errors +# by immediately canceling the parse operation with a +# {@link ParseCancellationException}. The implementation ensures that the +# {@link ParserRuleContext#exception} field is set for all parse tree nodes +# that were not completed prior to encountering the error. +# +#

        +# This error strategy is useful in the following scenarios.

        +# +#
          +#
        • Two-stage parsing: This error strategy allows the first +# stage of two-stage parsing to immediately terminate if an error is +# encountered, and immediately fall back to the second stage. In addition to +# avoiding wasted work by attempting to recover from errors here, the empty +# implementation of {@link BailErrorStrategy#sync} improves the performance of +# the first stage.
          • +#
        • Silent validation: When syntax errors are not being +# reported or logged, and the parse result is simply ignored if errors occur, +# the {@link BailErrorStrategy} avoids wasting work on recovering from errors +# when the result will be ignored either way.
          • +#
        +# +#

        +# {@code myparser.setErrorHandler(new BailErrorStrategy());}

        +# +# @see Parser#setErrorHandler(ANTLRErrorStrategy) +# +class BailErrorStrategy(DefaultErrorStrategy): + # Instead of recovering from exception {@code e}, re-throw it wrapped + # in a {@link ParseCancellationException} so it is not caught by the + # rule function catches. Use {@link Exception#getCause()} to get the + # original {@link RecognitionException}. + # + def recover(self, recognizer:Parser, e:RecognitionException): + context = recognizer._ctx + while context is not None: + context.exception = e + context = context.parentCtx + raise ParseCancellationException(e) + + # Make sure we don't attempt to recover inline; if the parser + # successfully recovers, it won't throw an exception. + # + def recoverInline(self, recognizer:Parser): + self.recover(recognizer, InputMismatchException(recognizer)) + + # Make sure we don't attempt to recover from problems in subrules.# + def sync(self, recognizer:Parser): + pass + +del Parser \ No newline at end of file diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/Errors.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/Errors.py new file mode 100644 index 0000000000000000000000000000000000000000..e78ac05911d3c9569441fe376ff7d6c686c05c95 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/Errors.py @@ -0,0 +1,172 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# need forward declaration +Token = None +Lexer = None +Parser = None +TokenStream = None +ATNConfigSet = None +ParserRulecontext = None +PredicateTransition = None +BufferedTokenStream = None + +class UnsupportedOperationException(Exception): + + def __init__(self, msg:str): + super().__init__(msg) + +class IllegalStateException(Exception): + + def __init__(self, msg:str): + super().__init__(msg) + +class CancellationException(IllegalStateException): + + def __init__(self, msg:str): + super().__init__(msg) + +# The root of the ANTLR exception hierarchy. In general, ANTLR tracks just +# 3 kinds of errors: prediction errors, failed predicate errors, and +# mismatched input errors. In each case, the parser knows where it is +# in the input, where it is in the ATN, the rule invocation stack, +# and what kind of problem occurred. + +from antlr4.InputStream import InputStream +from antlr4.ParserRuleContext import ParserRuleContext +from antlr4.Recognizer import Recognizer + +class RecognitionException(Exception): + + + def __init__(self, message:str=None, recognizer:Recognizer=None, input:InputStream=None, ctx:ParserRulecontext=None): + super().__init__(message) + self.message = message + self.recognizer = recognizer + self.input = input + self.ctx = ctx + # The current {@link Token} when an error occurred. Since not all streams + # support accessing symbols by index, we have to track the {@link Token} + # instance itself. + self.offendingToken = None + # Get the ATN state number the parser was in at the time the error + # occurred. For {@link NoViableAltException} and + # {@link LexerNoViableAltException} exceptions, this is the + # {@link DecisionState} number. For others, it is the state whose outgoing + # edge we couldn't match. + self.offendingState = -1 + if recognizer is not None: + self.offendingState = recognizer.state + + #

        If the state number is not known, this method returns -1.

        + + # + # Gets the set of input symbols which could potentially follow the + # previously matched symbol at the time this exception was thrown. + # + #

        If the set of expected tokens is not known and could not be computed, + # this method returns {@code null}.

        + # + # @return The set of token types that could potentially follow the current + # state in the ATN, or {@code null} if the information is not available. + #/ + def getExpectedTokens(self): + if self.recognizer is not None: + return self.recognizer.atn.getExpectedTokens(self.offendingState, self.ctx) + else: + return None + + +class LexerNoViableAltException(RecognitionException): + + def __init__(self, lexer:Lexer, input:InputStream, startIndex:int, deadEndConfigs:ATNConfigSet): + super().__init__(message=None, recognizer=lexer, input=input, ctx=None) + self.startIndex = startIndex + self.deadEndConfigs = deadEndConfigs + + def __str__(self): + symbol = "" + if self.startIndex >= 0 and self.startIndex < self.input.size: + symbol = self.input.getText(self.startIndex, self.startIndex) + # TODO symbol = Utils.escapeWhitespace(symbol, false); + return "LexerNoViableAltException('" + symbol + "')" + +# Indicates that the parser could not decide which of two or more paths +# to take based upon the remaining input. It tracks the starting token +# of the offending input and also knows where the parser was +# in the various paths when the error. Reported by reportNoViableAlternative() +# +class NoViableAltException(RecognitionException): + + def __init__(self, recognizer:Parser, input:TokenStream=None, startToken:Token=None, + offendingToken:Token=None, deadEndConfigs:ATNConfigSet=None, ctx:ParserRuleContext=None): + if ctx is None: + ctx = recognizer._ctx + if offendingToken is None: + offendingToken = recognizer.getCurrentToken() + if startToken is None: + startToken = recognizer.getCurrentToken() + if input is None: + input = recognizer.getInputStream() + super().__init__(recognizer=recognizer, input=input, ctx=ctx) + # Which configurations did we try at input.index() that couldn't match input.LT(1)?# + self.deadEndConfigs = deadEndConfigs + # The token object at the start index; the input stream might + # not be buffering tokens so get a reference to it. (At the + # time the error occurred, of course the stream needs to keep a + # buffer all of the tokens but later we might not have access to those.) + self.startToken = startToken + self.offendingToken = offendingToken + +# This signifies any kind of mismatched input exceptions such as +# when the current input does not match the expected token. +# +class InputMismatchException(RecognitionException): + + def __init__(self, recognizer:Parser): + super().__init__(recognizer=recognizer, input=recognizer.getInputStream(), ctx=recognizer._ctx) + self.offendingToken = recognizer.getCurrentToken() + + +# A semantic predicate failed during validation. Validation of predicates +# occurs when normally parsing the alternative just like matching a token. +# Disambiguating predicate evaluation occurs when we test a predicate during +# prediction. + +class FailedPredicateException(RecognitionException): + + def __init__(self, recognizer:Parser, predicate:str=None, message:str=None): + super().__init__(message=self.formatMessage(predicate,message), recognizer=recognizer, + input=recognizer.getInputStream(), ctx=recognizer._ctx) + s = recognizer._interp.atn.states[recognizer.state] + trans = s.transitions[0] + from antlr4.atn.Transition import PredicateTransition + if isinstance(trans, PredicateTransition): + self.ruleIndex = trans.ruleIndex + self.predicateIndex = trans.predIndex + else: + self.ruleIndex = 0 + self.predicateIndex = 0 + self.predicate = predicate + self.offendingToken = recognizer.getCurrentToken() + + def formatMessage(self, predicate:str, message:str): + if message is not None: + return message + else: + return "failed predicate: {" + predicate + "}?" + +class ParseCancellationException(CancellationException): + + pass + +del Token +del Lexer +del Parser +del TokenStream +del ATNConfigSet +del ParserRulecontext +del PredicateTransition +del BufferedTokenStream diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..216c000dc5ffc8e53cc9c596e420c1e67604d1aa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/error/__init__.py @@ -0,0 +1 @@ +__author__ = 'ericvergnaud' diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/Chunk.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/Chunk.py new file mode 100644 index 0000000000000000000000000000000000000000..081419a34f65463b370b848b141192bfe491befd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/Chunk.py @@ -0,0 +1,30 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +class Chunk(object): + pass + +class TagChunk(Chunk): + __slots__ = ('tag', 'label') + + def __init__(self, tag:str, label:str=None): + self.tag = tag + self.label = label + + def __str__(self): + if self.label is None: + return self.tag + else: + return self.label + ":" + self.tag + +class TextChunk(Chunk): + __slots__ = 'text' + + def __init__(self, text:str): + self.text = text + + def __str__(self): + return "'" + self.text + "'" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/ParseTreeMatch.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/ParseTreeMatch.py new file mode 100644 index 0000000000000000000000000000000000000000..c02bc0357d26b343a72307cda77ff62fe307a44a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/ParseTreeMatch.py @@ -0,0 +1,118 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + + +# +# Represents the result of matching a {@link ParseTree} against a tree pattern. +# +from io import StringIO +from antlr4.tree.ParseTreePattern import ParseTreePattern +from antlr4.tree.Tree import ParseTree + + +class ParseTreeMatch(object): + __slots__ = ('tree', 'pattern', 'labels', 'mismatchedNode') + # + # Constructs a new instance of {@link ParseTreeMatch} from the specified + # parse tree and pattern. + # + # @param tree The parse tree to match against the pattern. + # @param pattern The parse tree pattern. + # @param labels A mapping from label names to collections of + # {@link ParseTree} objects located by the tree pattern matching process. + # @param mismatchedNode The first node which failed to match the tree + # pattern during the matching process. + # + # @exception IllegalArgumentException if {@code tree} is {@code null} + # @exception IllegalArgumentException if {@code pattern} is {@code null} + # @exception IllegalArgumentException if {@code labels} is {@code null} + # + def __init__(self, tree:ParseTree, pattern:ParseTreePattern, labels:dict, mismatchedNode:ParseTree): + if tree is None: + raise Exception("tree cannot be null") + if pattern is None: + raise Exception("pattern cannot be null") + if labels is None: + raise Exception("labels cannot be null") + self.tree = tree + self.pattern = pattern + self.labels = labels + self.mismatchedNode = mismatchedNode + + # + # Get the last node associated with a specific {@code label}. + # + #

        For example, for pattern {@code }, {@code get("id")} returns the + # node matched for that {@code ID}. If more than one node + # matched the specified label, only the last is returned. If there is + # no node associated with the label, this returns {@code null}.

        + # + #

        Pattern tags like {@code } and {@code } without labels are + # considered to be labeled with {@code ID} and {@code expr}, respectively.

        + # + # @param label The label to check. + # + # @return The last {@link ParseTree} to match a tag with the specified + # label, or {@code null} if no parse tree matched a tag with the label. + # + def get(self, label:str): + parseTrees = self.labels.get(label, None) + if parseTrees is None or len(parseTrees)==0: + return None + else: + return parseTrees[len(parseTrees)-1] + + # + # Return all nodes matching a rule or token tag with the specified label. + # + #

        If the {@code label} is the name of a parser rule or token in the + # grammar, the resulting list will contain both the parse trees matching + # rule or tags explicitly labeled with the label and the complete set of + # parse trees matching the labeled and unlabeled tags in the pattern for + # the parser rule or token. For example, if {@code label} is {@code "foo"}, + # the result will contain all of the following.

        + # + #
          + #
        • Parse tree nodes matching tags of the form {@code } and + # {@code }.
          • + #
        • Parse tree nodes matching tags of the form {@code }.
          • + #
        • Parse tree nodes matching tags of the form {@code }.
          • + #
        + # + # @param label The label. + # + # @return A collection of all {@link ParseTree} nodes matching tags with + # the specified {@code label}. If no nodes matched the label, an empty list + # is returned. + # + def getAll(self, label:str): + nodes = self.labels.get(label, None) + if nodes is None: + return list() + else: + return nodes + + + # + # Gets a value indicating whether the match operation succeeded. + # + # @return {@code true} if the match operation succeeded; otherwise, + # {@code false}. + # + def succeeded(self): + return self.mismatchedNode is None + + # + # {@inheritDoc} + # + def __str__(self): + with StringIO() as buf: + buf.write("Match ") + buf.write("succeeded" if self.succeeded() else "failed") + buf.write("; found ") + buf.write(str(len(self.labels))) + buf.write(" labels") + return buf.getvalue() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/ParseTreePattern.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/ParseTreePattern.py new file mode 100644 index 0000000000000000000000000000000000000000..37fd0bf09f478d47f927b3fdf7d7a32da1c0b795 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/ParseTreePattern.py @@ -0,0 +1,72 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# +# A pattern like {@code = ;} converted to a {@link ParseTree} by +# {@link ParseTreePatternMatcher#compile(String, int)}. +# +from antlr4.tree.ParseTreePatternMatcher import ParseTreePatternMatcher +from antlr4.tree.Tree import ParseTree +from antlr4.xpath.XPath import XPath + + +class ParseTreePattern(object): + __slots__ = ('matcher', 'patternRuleIndex', 'pattern', 'patternTree') + + # Construct a new instance of the {@link ParseTreePattern} class. + # + # @param matcher The {@link ParseTreePatternMatcher} which created this + # tree pattern. + # @param pattern The tree pattern in concrete syntax form. + # @param patternRuleIndex The parser rule which serves as the root of the + # tree pattern. + # @param patternTree The tree pattern in {@link ParseTree} form. + # + def __init__(self, matcher:ParseTreePatternMatcher, pattern:str, patternRuleIndex:int , patternTree:ParseTree): + self.matcher = matcher + self.patternRuleIndex = patternRuleIndex + self.pattern = pattern + self.patternTree = patternTree + + # + # Match a specific parse tree against this tree pattern. + # + # @param tree The parse tree to match against this tree pattern. + # @return A {@link ParseTreeMatch} object describing the result of the + # match operation. The {@link ParseTreeMatch#succeeded()} method can be + # used to determine whether or not the match was successful. + # + def match(self, tree:ParseTree): + return self.matcher.match(tree, self) + + # + # Determine whether or not a parse tree matches this tree pattern. + # + # @param tree The parse tree to match against this tree pattern. + # @return {@code true} if {@code tree} is a match for the current tree + # pattern; otherwise, {@code false}. + # + def matches(self, tree:ParseTree): + return self.matcher.match(tree, self).succeeded() + + # Find all nodes using XPath and then try to match those subtrees against + # this tree pattern. + # + # @param tree The {@link ParseTree} to match against this pattern. + # @param xpath An expression matching the nodes + # + # @return A collection of {@link ParseTreeMatch} objects describing the + # successful matches. Unsuccessful matches are omitted from the result, + # regardless of the reason for the failure. + # + def findAll(self, tree:ParseTree, xpath:str): + subtrees = XPath.findAll(tree, xpath, self.matcher.parser) + matches = list() + for t in subtrees: + match = self.match(t) + if match.succeeded(): + matches.append(match) + return matches diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/ParseTreePatternMatcher.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/ParseTreePatternMatcher.py new file mode 100644 index 0000000000000000000000000000000000000000..62fd197b0d143393fa187ead9b0c576112b486be --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/ParseTreePatternMatcher.py @@ -0,0 +1,374 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# +# A tree pattern matching mechanism for ANTLR {@link ParseTree}s. +# +#

        Patterns are strings of source input text with special tags representing +# token or rule references such as:

        +# +#

        {@code = ;}

        +# +#

        Given a pattern start rule such as {@code statement}, this object constructs +# a {@link ParseTree} with placeholders for the {@code ID} and {@code expr} +# subtree. Then the {@link #match} routines can compare an actual +# {@link ParseTree} from a parse with this pattern. Tag {@code } matches +# any {@code ID} token and tag {@code } references the result of the +# {@code expr} rule (generally an instance of {@code ExprContext}.

        +# +#

        Pattern {@code x = 0;} is a similar pattern that matches the same pattern +# except that it requires the identifier to be {@code x} and the expression to +# be {@code 0}.

        +# +#

        The {@link #matches} routines return {@code true} or {@code false} based +# upon a match for the tree rooted at the parameter sent in. The +# {@link #match} routines return a {@link ParseTreeMatch} object that +# contains the parse tree, the parse tree pattern, and a map from tag name to +# matched nodes (more below). A subtree that fails to match, returns with +# {@link ParseTreeMatch#mismatchedNode} set to the first tree node that did not +# match.

        +# +#

        For efficiency, you can compile a tree pattern in string form to a +# {@link ParseTreePattern} object.

        +# +#

        See {@code TestParseTreeMatcher} for lots of examples. +# {@link ParseTreePattern} has two static helper methods: +# {@link ParseTreePattern#findAll} and {@link ParseTreePattern#match} that +# are easy to use but not super efficient because they create new +# {@link ParseTreePatternMatcher} objects each time and have to compile the +# pattern in string form before using it.

        +# +#

        The lexer and parser that you pass into the {@link ParseTreePatternMatcher} +# constructor are used to parse the pattern in string form. The lexer converts +# the {@code = ;} into a sequence of four tokens (assuming lexer +# throws out whitespace or puts it on a hidden channel). Be aware that the +# input stream is reset for the lexer (but not the parser; a +# {@link ParserInterpreter} is created to parse the input.). Any user-defined +# fields you have put into the lexer might get changed when this mechanism asks +# it to scan the pattern string.

        +# +#

        Normally a parser does not accept token {@code } as a valid +# {@code expr} but, from the parser passed in, we create a special version of +# the underlying grammar representation (an {@link ATN}) that allows imaginary +# tokens representing rules ({@code }) to match entire rules. We call +# these bypass alternatives.

        +# +#

        Delimiters are {@code <} and {@code >}, with {@code \} as the escape string +# by default, but you can set them to whatever you want using +# {@link #setDelimiters}. You must escape both start and stop strings +# {@code \<} and {@code \>}.

        +# +from antlr4.CommonTokenStream import CommonTokenStream +from antlr4.InputStream import InputStream +from antlr4.ParserRuleContext import ParserRuleContext +from antlr4.Lexer import Lexer +from antlr4.ListTokenSource import ListTokenSource +from antlr4.Token import Token +from antlr4.error.ErrorStrategy import BailErrorStrategy +from antlr4.error.Errors import RecognitionException, ParseCancellationException +from antlr4.tree.Chunk import TagChunk, TextChunk +from antlr4.tree.RuleTagToken import RuleTagToken +from antlr4.tree.TokenTagToken import TokenTagToken +from antlr4.tree.Tree import ParseTree, TerminalNode, RuleNode + +# need forward declaration +Parser = None +ParseTreePattern = None + +class CannotInvokeStartRule(Exception): + + def __init__(self, e:Exception): + super().__init__(e) + +class StartRuleDoesNotConsumeFullPattern(Exception): + + pass + + +class ParseTreePatternMatcher(object): + __slots__ = ('lexer', 'parser', 'start', 'stop', 'escape') + + # Constructs a {@link ParseTreePatternMatcher} or from a {@link Lexer} and + # {@link Parser} object. The lexer input stream is altered for tokenizing + # the tree patterns. The parser is used as a convenient mechanism to get + # the grammar name, plus token, rule names. + def __init__(self, lexer:Lexer, parser:Parser): + self.lexer = lexer + self.parser = parser + self.start = "<" + self.stop = ">" + self.escape = "\\" # e.g., \< and \> must escape BOTH! + + # Set the delimiters used for marking rule and token tags within concrete + # syntax used by the tree pattern parser. + # + # @param start The start delimiter. + # @param stop The stop delimiter. + # @param escapeLeft The escape sequence to use for escaping a start or stop delimiter. + # + # @exception IllegalArgumentException if {@code start} is {@code null} or empty. + # @exception IllegalArgumentException if {@code stop} is {@code null} or empty. + # + def setDelimiters(self, start:str, stop:str, escapeLeft:str): + if start is None or len(start)==0: + raise Exception("start cannot be null or empty") + if stop is None or len(stop)==0: + raise Exception("stop cannot be null or empty") + self.start = start + self.stop = stop + self.escape = escapeLeft + + # Does {@code pattern} matched as rule {@code patternRuleIndex} match {@code tree}?# + def matchesRuleIndex(self, tree:ParseTree, pattern:str, patternRuleIndex:int): + p = self.compileTreePattern(pattern, patternRuleIndex) + return self.matches(tree, p) + + # Does {@code pattern} matched as rule patternRuleIndex match tree? Pass in a + # compiled pattern instead of a string representation of a tree pattern. + # + def matchesPattern(self, tree:ParseTree, pattern:ParseTreePattern): + mismatchedNode = self.matchImpl(tree, pattern.patternTree, dict()) + return mismatchedNode is None + + # + # Compare {@code pattern} matched as rule {@code patternRuleIndex} against + # {@code tree} and return a {@link ParseTreeMatch} object that contains the + # matched elements, or the node at which the match failed. + # + def matchRuleIndex(self, tree:ParseTree, pattern:str, patternRuleIndex:int): + p = self.compileTreePattern(pattern, patternRuleIndex) + return self.matchPattern(tree, p) + + # + # Compare {@code pattern} matched against {@code tree} and return a + # {@link ParseTreeMatch} object that contains the matched elements, or the + # node at which the match failed. Pass in a compiled pattern instead of a + # string representation of a tree pattern. + # + def matchPattern(self, tree:ParseTree, pattern:ParseTreePattern): + labels = dict() + mismatchedNode = self.matchImpl(tree, pattern.patternTree, labels) + from antlr4.tree.ParseTreeMatch import ParseTreeMatch + return ParseTreeMatch(tree, pattern, labels, mismatchedNode) + + # + # For repeated use of a tree pattern, compile it to a + # {@link ParseTreePattern} using this method. + # + def compileTreePattern(self, pattern:str, patternRuleIndex:int): + tokenList = self.tokenize(pattern) + tokenSrc = ListTokenSource(tokenList) + tokens = CommonTokenStream(tokenSrc) + from antlr4.ParserInterpreter import ParserInterpreter + parserInterp = ParserInterpreter(self.parser.grammarFileName, self.parser.tokenNames, + self.parser.ruleNames, self.parser.getATNWithBypassAlts(),tokens) + tree = None + try: + parserInterp.setErrorHandler(BailErrorStrategy()) + tree = parserInterp.parse(patternRuleIndex) + except ParseCancellationException as e: + raise e.cause + except RecognitionException as e: + raise e + except Exception as e: + raise CannotInvokeStartRule(e) + + # Make sure tree pattern compilation checks for a complete parse + if tokens.LA(1)!=Token.EOF: + raise StartRuleDoesNotConsumeFullPattern() + + from antlr4.tree.ParseTreePattern import ParseTreePattern + return ParseTreePattern(self, pattern, patternRuleIndex, tree) + + # + # Recursively walk {@code tree} against {@code patternTree}, filling + # {@code match.}{@link ParseTreeMatch#labels labels}. + # + # @return the first node encountered in {@code tree} which does not match + # a corresponding node in {@code patternTree}, or {@code null} if the match + # was successful. The specific node returned depends on the matching + # algorithm used by the implementation, and may be overridden. + # + def matchImpl(self, tree:ParseTree, patternTree:ParseTree, labels:dict): + if tree is None: + raise Exception("tree cannot be null") + if patternTree is None: + raise Exception("patternTree cannot be null") + + # x and , x and y, or x and x; or could be mismatched types + if isinstance(tree, TerminalNode) and isinstance(patternTree, TerminalNode ): + mismatchedNode = None + # both are tokens and they have same type + if tree.symbol.type == patternTree.symbol.type: + if isinstance( patternTree.symbol, TokenTagToken ): # x and + tokenTagToken = patternTree.symbol + # track label->list-of-nodes for both token name and label (if any) + self.map(labels, tokenTagToken.tokenName, tree) + if tokenTagToken.label is not None: + self.map(labels, tokenTagToken.label, tree) + elif tree.getText()==patternTree.getText(): + # x and x + pass + else: + # x and y + if mismatchedNode is None: + mismatchedNode = tree + else: + if mismatchedNode is None: + mismatchedNode = tree + + return mismatchedNode + + if isinstance(tree, ParserRuleContext) and isinstance(patternTree, ParserRuleContext): + mismatchedNode = None + # (expr ...) and + ruleTagToken = self.getRuleTagToken(patternTree) + if ruleTagToken is not None: + m = None + if tree.ruleContext.ruleIndex == patternTree.ruleContext.ruleIndex: + # track label->list-of-nodes for both rule name and label (if any) + self.map(labels, ruleTagToken.ruleName, tree) + if ruleTagToken.label is not None: + self.map(labels, ruleTagToken.label, tree) + else: + if mismatchedNode is None: + mismatchedNode = tree + + return mismatchedNode + + # (expr ...) and (expr ...) + if tree.getChildCount()!=patternTree.getChildCount(): + if mismatchedNode is None: + mismatchedNode = tree + return mismatchedNode + + n = tree.getChildCount() + for i in range(0, n): + childMatch = self.matchImpl(tree.getChild(i), patternTree.getChild(i), labels) + if childMatch is not None: + return childMatch + + return mismatchedNode + + # if nodes aren't both tokens or both rule nodes, can't match + return tree + + def map(self, labels, label, tree): + v = labels.get(label, None) + if v is None: + v = list() + labels[label] = v + v.append(tree) + + # Is {@code t} {@code (expr )} subtree?# + def getRuleTagToken(self, tree:ParseTree): + if isinstance( tree, RuleNode ): + if tree.getChildCount()==1 and isinstance(tree.getChild(0), TerminalNode ): + c = tree.getChild(0) + if isinstance( c.symbol, RuleTagToken ): + return c.symbol + return None + + def tokenize(self, pattern:str): + # split pattern into chunks: sea (raw input) and islands (, ) + chunks = self.split(pattern) + + # create token stream from text and tags + tokens = list() + for chunk in chunks: + if isinstance( chunk, TagChunk ): + # add special rule token or conjure up new token from name + if chunk.tag[0].isupper(): + ttype = self.parser.getTokenType(chunk.tag) + if ttype==Token.INVALID_TYPE: + raise Exception("Unknown token " + str(chunk.tag) + " in pattern: " + pattern) + tokens.append(TokenTagToken(chunk.tag, ttype, chunk.label)) + elif chunk.tag[0].islower(): + ruleIndex = self.parser.getRuleIndex(chunk.tag) + if ruleIndex==-1: + raise Exception("Unknown rule " + str(chunk.tag) + " in pattern: " + pattern) + ruleImaginaryTokenType = self.parser.getATNWithBypassAlts().ruleToTokenType[ruleIndex] + tokens.append(RuleTagToken(chunk.tag, ruleImaginaryTokenType, chunk.label)) + else: + raise Exception("invalid tag: " + str(chunk.tag) + " in pattern: " + pattern) + else: + self.lexer.setInputStream(InputStream(chunk.text)) + t = self.lexer.nextToken() + while t.type!=Token.EOF: + tokens.append(t) + t = self.lexer.nextToken() + return tokens + + # Split {@code = ;} into 4 chunks for tokenizing by {@link #tokenize}.# + def split(self, pattern:str): + p = 0 + n = len(pattern) + chunks = list() + # find all start and stop indexes first, then collect + starts = list() + stops = list() + while p < n : + if p == pattern.find(self.escape + self.start, p): + p += len(self.escape) + len(self.start) + elif p == pattern.find(self.escape + self.stop, p): + p += len(self.escape) + len(self.stop) + elif p == pattern.find(self.start, p): + starts.append(p) + p += len(self.start) + elif p == pattern.find(self.stop, p): + stops.append(p) + p += len(self.stop) + else: + p += 1 + + nt = len(starts) + + if nt > len(stops): + raise Exception("unterminated tag in pattern: " + pattern) + if nt < len(stops): + raise Exception("missing start tag in pattern: " + pattern) + + for i in range(0, nt): + if starts[i] >= stops[i]: + raise Exception("tag delimiters out of order in pattern: " + pattern) + + # collect into chunks now + if nt==0: + chunks.append(TextChunk(pattern)) + + if nt>0 and starts[0]>0: # copy text up to first tag into chunks + text = pattern[0:starts[0]] + chunks.add(TextChunk(text)) + + for i in range(0, nt): + # copy inside of + tag = pattern[starts[i] + len(self.start) : stops[i]] + ruleOrToken = tag + label = None + colon = tag.find(':') + if colon >= 0: + label = tag[0:colon] + ruleOrToken = tag[colon+1 : len(tag)] + chunks.append(TagChunk(label, ruleOrToken)) + if i+1 < len(starts): + # copy from end of to start of next + text = pattern[stops[i] + len(self.stop) : starts[i + 1]] + chunks.append(TextChunk(text)) + + if nt > 0 : + afterLastTag = stops[nt - 1] + len(self.stop) + if afterLastTag < n : # copy text from end of last tag to end + text = pattern[afterLastTag : n] + chunks.append(TextChunk(text)) + + # strip out the escape sequences from text chunks but not tags + for i in range(0, len(chunks)): + c = chunks[i] + if isinstance( c, TextChunk ): + unescaped = c.text.replace(self.escape, "") + if len(unescaped) < len(c.text): + chunks[i] = TextChunk(unescaped) + return chunks diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/RuleTagToken.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/RuleTagToken.py new file mode 100644 index 0000000000000000000000000000000000000000..a198f7da13643d538ce96aeeb6a8ff4f757f1ecd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/RuleTagToken.py @@ -0,0 +1,50 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# +# A {@link Token} object representing an entire subtree matched by a parser +# rule; e.g., {@code }. These tokens are created for {@link TagChunk} +# chunks where the tag corresponds to a parser rule. +# +from antlr4.Token import Token + + +class RuleTagToken(Token): + __slots__ = ('label', 'ruleName') + # + # Constructs a new instance of {@link RuleTagToken} with the specified rule + # name, bypass token type, and label. + # + # @param ruleName The name of the parser rule this rule tag matches. + # @param bypassTokenType The bypass token type assigned to the parser rule. + # @param label The label associated with the rule tag, or {@code null} if + # the rule tag is unlabeled. + # + # @exception IllegalArgumentException if {@code ruleName} is {@code null} + # or empty. + + def __init__(self, ruleName:str, bypassTokenType:int, label:str=None): + if ruleName is None or len(ruleName)==0: + raise Exception("ruleName cannot be null or empty.") + self.source = None + self.type = bypassTokenType # token type of the token + self.channel = Token.DEFAULT_CHANNEL # The parser ignores everything not on DEFAULT_CHANNEL + self.start = -1 # optional; return -1 if not implemented. + self.stop = -1 # optional; return -1 if not implemented. + self.tokenIndex = -1 # from 0..n-1 of the token object in the input stream + self.line = 0 # line=1..n of the 1st character + self.column = -1 # beginning of the line at which it occurs, 0..n-1 + self.label = label + self._text = self.getText() # text of the token. + + self.ruleName = ruleName + + + def getText(self): + if self.label is None: + return "<" + self.ruleName + ">" + else: + return "<" + self.label + ":" + self.ruleName + ">" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/TokenTagToken.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/TokenTagToken.py new file mode 100644 index 0000000000000000000000000000000000000000..b7beeb87684c06606e17053f0f74fcae36876959 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/TokenTagToken.py @@ -0,0 +1,47 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# +# A {@link Token} object representing a token of a particular type; e.g., +# {@code }. These tokens are created for {@link TagChunk} chunks where the +# tag corresponds to a lexer rule or token type. +# +from antlr4.Token import CommonToken + + +class TokenTagToken(CommonToken): + __slots__ = ('tokenName', 'label') + # Constructs a new instance of {@link TokenTagToken} with the specified + # token name, type, and label. + # + # @param tokenName The token name. + # @param type The token type. + # @param label The label associated with the token tag, or {@code null} if + # the token tag is unlabeled. + # + def __init__(self, tokenName:str, type:int, label:str=None): + super().__init__(type=type) + self.tokenName = tokenName + self.label = label + self._text = self.getText() + + # + # {@inheritDoc} + # + #

        The implementation for {@link TokenTagToken} returns the token tag + # formatted with {@code <} and {@code >} delimiters.

        + # + def getText(self): + if self.label is None: + return "<" + self.tokenName + ">" + else: + return "<" + self.label + ":" + self.tokenName + ">" + + #

        The implementation for {@link TokenTagToken} returns a string of the form + # {@code tokenName:type}.

        + # + def __str__(self): + return self.tokenName + ":" + str(self.type) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/Tree.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/Tree.py new file mode 100644 index 0000000000000000000000000000000000000000..812acc96bbee97860bc8a914feedcd0584def050 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/Tree.py @@ -0,0 +1,191 @@ +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +#/ + + +# The basic notion of a tree has a parent, a payload, and a list of children. +# It is the most abstract interface for all the trees used by ANTLR. +#/ +from antlr4.Token import Token + +INVALID_INTERVAL = (-1, -2) + +class Tree(object): + pass + +class SyntaxTree(Tree): + pass + +class ParseTree(SyntaxTree): + pass + +class RuleNode(ParseTree): + pass + +class TerminalNode(ParseTree): + pass + +class ErrorNode(TerminalNode): + pass + +class ParseTreeVisitor(object): + def visit(self, tree): + return tree.accept(self) + + def visitChildren(self, node): + result = self.defaultResult() + n = node.getChildCount() + for i in range(n): + if not self.shouldVisitNextChild(node, result): + return result + + c = node.getChild(i) + childResult = c.accept(self) + result = self.aggregateResult(result, childResult) + + return result + + def visitTerminal(self, node): + return self.defaultResult() + + def visitErrorNode(self, node): + return self.defaultResult() + + def defaultResult(self): + return None + + def aggregateResult(self, aggregate, nextResult): + return nextResult + + def shouldVisitNextChild(self, node, currentResult): + return True + +ParserRuleContext = None + +class ParseTreeListener(object): + + def visitTerminal(self, node:TerminalNode): + pass + + def visitErrorNode(self, node:ErrorNode): + pass + + def enterEveryRule(self, ctx:ParserRuleContext): + pass + + def exitEveryRule(self, ctx:ParserRuleContext): + pass + +del ParserRuleContext + +class TerminalNodeImpl(TerminalNode): + __slots__ = ('parentCtx', 'symbol') + + def __init__(self, symbol:Token): + self.parentCtx = None + self.symbol = symbol + def __setattr__(self, key, value): + super().__setattr__(key, value) + + def getChild(self, i:int): + return None + + def getSymbol(self): + return self.symbol + + def getParent(self): + return self.parentCtx + + def getPayload(self): + return self.symbol + + def getSourceInterval(self): + if self.symbol is None: + return INVALID_INTERVAL + tokenIndex = self.symbol.tokenIndex + return (tokenIndex, tokenIndex) + + def getChildCount(self): + return 0 + + def accept(self, visitor:ParseTreeVisitor): + return visitor.visitTerminal(self) + + def getText(self): + return self.symbol.text + + def __str__(self): + if self.symbol.type == Token.EOF: + return "" + else: + return self.symbol.text + +# Represents a token that was consumed during resynchronization +# rather than during a valid match operation. For example, +# we will create this kind of a node during single token insertion +# and deletion as well as during "consume until error recovery set" +# upon no viable alternative exceptions. + +class ErrorNodeImpl(TerminalNodeImpl,ErrorNode): + + def __init__(self, token:Token): + super().__init__(token) + + def accept(self, visitor:ParseTreeVisitor): + return visitor.visitErrorNode(self) + + +class ParseTreeWalker(object): + + DEFAULT = None + + def walk(self, listener:ParseTreeListener, t:ParseTree): + """ + Performs a walk on the given parse tree starting at the root and going down recursively + with depth-first search. On each node, {@link ParseTreeWalker#enterRule} is called before + recursively walking down into child nodes, then + {@link ParseTreeWalker#exitRule} is called after the recursive call to wind up. + @param listener The listener used by the walker to process grammar rules + @param t The parse tree to be walked on + """ + if isinstance(t, ErrorNode): + listener.visitErrorNode(t) + return + elif isinstance(t, TerminalNode): + listener.visitTerminal(t) + return + self.enterRule(listener, t) + for child in t.getChildren(): + self.walk(listener, child) + self.exitRule(listener, t) + + # + # The discovery of a rule node, involves sending two events: the generic + # {@link ParseTreeListener#enterEveryRule} and a + # {@link RuleContext}-specific event. First we trigger the generic and then + # the rule specific. We to them in reverse order upon finishing the node. + # + def enterRule(self, listener:ParseTreeListener, r:RuleNode): + """ + Enters a grammar rule by first triggering the generic event {@link ParseTreeListener#enterEveryRule} + then by triggering the event specific to the given parse tree node + @param listener The listener responding to the trigger events + @param r The grammar rule containing the rule context + """ + ctx = r.getRuleContext() + listener.enterEveryRule(ctx) + ctx.enterRule(listener) + + def exitRule(self, listener:ParseTreeListener, r:RuleNode): + """ + Exits a grammar rule by first triggering the event specific to the given parse tree node + then by triggering the generic event {@link ParseTreeListener#exitEveryRule} + @param listener The listener responding to the trigger events + @param r The grammar rule containing the rule context + """ + ctx = r.getRuleContext() + ctx.exitRule(listener) + listener.exitEveryRule(ctx) + +ParseTreeWalker.DEFAULT = ParseTreeWalker() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/Trees.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/Trees.py new file mode 100644 index 0000000000000000000000000000000000000000..686b8cb287b3058c2e0b33dfb1567320299f214e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/Trees.py @@ -0,0 +1,111 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + + +# A set of utility routines useful for all kinds of ANTLR trees.# +from io import StringIO +from antlr4.Token import Token +from antlr4.Utils import escapeWhitespace +from antlr4.tree.Tree import RuleNode, ErrorNode, TerminalNode, Tree, ParseTree + +# need forward declaration +Parser = None + +class Trees(object): + + # Print out a whole tree in LISP form. {@link #getNodeText} is used on the + # node payloads to get the text for the nodes. Detect + # parse trees and extract data appropriately. + @classmethod + def toStringTree(cls, t:Tree, ruleNames:list=None, recog:Parser=None): + if recog is not None: + ruleNames = recog.ruleNames + s = escapeWhitespace(cls.getNodeText(t, ruleNames), False) + if t.getChildCount()==0: + return s + with StringIO() as buf: + buf.write("(") + buf.write(s) + buf.write(' ') + for i in range(0, t.getChildCount()): + if i > 0: + buf.write(' ') + buf.write(cls.toStringTree(t.getChild(i), ruleNames)) + buf.write(")") + return buf.getvalue() + + @classmethod + def getNodeText(cls, t:Tree, ruleNames:list=None, recog:Parser=None): + if recog is not None: + ruleNames = recog.ruleNames + if ruleNames is not None: + if isinstance(t, RuleNode): + if t.getAltNumber()!=0: # should use ATN.INVALID_ALT_NUMBER but won't compile + return ruleNames[t.getRuleIndex()]+":"+str(t.getAltNumber()) + return ruleNames[t.getRuleIndex()] + elif isinstance( t, ErrorNode): + return str(t) + elif isinstance(t, TerminalNode): + if t.symbol is not None: + return t.symbol.text + # no recog for rule names + payload = t.getPayload() + if isinstance(payload, Token ): + return payload.text + return str(t.getPayload()) + + + # Return ordered list of all children of this node + @classmethod + def getChildren(cls, t:Tree): + return [ t.getChild(i) for i in range(0, t.getChildCount()) ] + + # Return a list of all ancestors of this node. The first node of + # list is the root and the last is the parent of this node. + # + @classmethod + def getAncestors(cls, t:Tree): + ancestors = [] + t = t.getParent() + while t is not None: + ancestors.insert(0, t) # insert at start + t = t.getParent() + return ancestors + + @classmethod + def findAllTokenNodes(cls, t:ParseTree, ttype:int): + return cls.findAllNodes(t, ttype, True) + + @classmethod + def findAllRuleNodes(cls, t:ParseTree, ruleIndex:int): + return cls.findAllNodes(t, ruleIndex, False) + + @classmethod + def findAllNodes(cls, t:ParseTree, index:int, findTokens:bool): + nodes = [] + cls._findAllNodes(t, index, findTokens, nodes) + return nodes + + @classmethod + def _findAllNodes(cls, t:ParseTree, index:int, findTokens:bool, nodes:list): + from antlr4.ParserRuleContext import ParserRuleContext + # check this node (the root) first + if findTokens and isinstance(t, TerminalNode): + if t.symbol.type==index: + nodes.append(t) + elif not findTokens and isinstance(t, ParserRuleContext): + if t.ruleIndex == index: + nodes.append(t) + # check children + for i in range(0, t.getChildCount()): + cls._findAllNodes(t.getChild(i), index, findTokens, nodes) + + @classmethod + def descendants(cls, t:ParseTree): + nodes = [t] + for i in range(0, t.getChildCount()): + nodes.extend(cls.descendants(t.getChild(i))) + return nodes diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/tree/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/xpath/XPath.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/xpath/XPath.py new file mode 100644 index 0000000000000000000000000000000000000000..24029e7cf2bfa9798538211bc7599b49dbb70191 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/xpath/XPath.py @@ -0,0 +1,352 @@ +# +# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. +# Use of this file is governed by the BSD 3-clause license that +# can be found in the LICENSE.txt file in the project root. +# + +# +# Represent a subset of XPath XML path syntax for use in identifying nodes in +# parse trees. +# +#

        +# Split path into words and separators {@code /} and {@code //} via ANTLR +# itself then walk path elements from left to right. At each separator-word +# pair, find set of nodes. Next stage uses those as work list.

        +# +#

        +# The basic interface is +# {@link XPath#findAll ParseTree.findAll}{@code (tree, pathString, parser)}. +# But that is just shorthand for:

        +# +# 
        +# {@link XPath} p = new {@link XPath#XPath XPath}(parser, pathString);
+# return p.{@link #evaluate evaluate}(tree);
+#
        +# +#

        +# See {@code org.antlr.v4.test.TestXPath} for descriptions. In short, this +# allows operators:

        +# +#
        +#
        /
        root
        +#
        //
        anywhere
        +#
        !
        invert; this must appear directly after root or anywhere +# operator
        +#
        +# +#

        +# and path elements:

        +# +#
        +#
        ID
        token name
        +#
        'string'
        any string literal token from the grammar
        +#
        expr
        rule name
        +#
        *
        wildcard matching any node
        +#
        +# +#

        +# Whitespace is not allowed.

        +# +from antlr4 import CommonTokenStream, DFA, PredictionContextCache, Lexer, LexerATNSimulator, ParserRuleContext, TerminalNode +from antlr4.InputStream import InputStream +from antlr4.Parser import Parser +from antlr4.RuleContext import RuleContext +from antlr4.Token import Token +from antlr4.atn.ATNDeserializer import ATNDeserializer +from antlr4.error.ErrorListener import ErrorListener +from antlr4.error.Errors import LexerNoViableAltException +from antlr4.tree.Tree import ParseTree +from antlr4.tree.Trees import Trees +from io import StringIO + + +def serializedATN(): + with StringIO() as buf: + buf.write("\3\u0430\ud6d1\u8206\uad2d\u4417\uaef1\u8d80\uaadd\2\n") + buf.write("\64\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7\t") + buf.write("\7\4\b\t\b\4\t\t\t\3\2\3\2\3\2\3\3\3\3\3\4\3\4\3\5\3\5") + buf.write("\3\6\3\6\7\6\37\n\6\f\6\16\6\"\13\6\3\6\3\6\3\7\3\7\5") + buf.write("\7(\n\7\3\b\3\b\3\t\3\t\7\t.\n\t\f\t\16\t\61\13\t\3\t") + buf.write("\3\t\3/\2\n\3\5\5\6\7\7\t\b\13\t\r\2\17\2\21\n\3\2\4\7") + buf.write("\2\62;aa\u00b9\u00b9\u0302\u0371\u2041\u2042\17\2C\\c") + buf.write("|\u00c2\u00d8\u00da\u00f8\u00fa\u0301\u0372\u037f\u0381") + buf.write("\u2001\u200e\u200f\u2072\u2191\u2c02\u2ff1\u3003\ud801") + buf.write("\uf902\ufdd1\ufdf2\uffff\64\2\3\3\2\2\2\2\5\3\2\2\2\2") + buf.write("\7\3\2\2\2\2\t\3\2\2\2\2\13\3\2\2\2\2\21\3\2\2\2\3\23") + buf.write("\3\2\2\2\5\26\3\2\2\2\7\30\3\2\2\2\t\32\3\2\2\2\13\34") + buf.write("\3\2\2\2\r\'\3\2\2\2\17)\3\2\2\2\21+\3\2\2\2\23\24\7\61") + buf.write("\2\2\24\25\7\61\2\2\25\4\3\2\2\2\26\27\7\61\2\2\27\6\3") + buf.write("\2\2\2\30\31\7,\2\2\31\b\3\2\2\2\32\33\7#\2\2\33\n\3\2") + buf.write("\2\2\34 \5\17\b\2\35\37\5\r\7\2\36\35\3\2\2\2\37\"\3\2") + buf.write("\2\2 \36\3\2\2\2 !\3\2\2\2!#\3\2\2\2\" \3\2\2\2#$\b\6") + buf.write("\2\2$\f\3\2\2\2%(\5\17\b\2&(\t\2\2\2\'%\3\2\2\2\'&\3\2") + buf.write("\2\2(\16\3\2\2\2)*\t\3\2\2*\20\3\2\2\2+/\7)\2\2,.\13\2") + buf.write("\2\2-,\3\2\2\2.\61\3\2\2\2/\60\3\2\2\2/-\3\2\2\2\60\62") + buf.write("\3\2\2\2\61/\3\2\2\2\62\63\7)\2\2\63\22\3\2\2\2\6\2 \'") + buf.write("/\3\3\6\2") + return buf.getvalue() + + +class XPathLexer(Lexer): + + atn = ATNDeserializer().deserialize(serializedATN()) + + decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ] + + + TOKEN_REF = 1 + RULE_REF = 2 + ANYWHERE = 3 + ROOT = 4 + WILDCARD = 5 + BANG = 6 + ID = 7 + STRING = 8 + + modeNames = [ "DEFAULT_MODE" ] + + literalNames = [ "", + "'//'", "'/'", "'*'", "'!'" ] + + symbolicNames = [ "", + "TOKEN_REF", "RULE_REF", "ANYWHERE", "ROOT", "WILDCARD", "BANG", + "ID", "STRING" ] + + ruleNames = [ "ANYWHERE", "ROOT", "WILDCARD", "BANG", "ID", "NameChar", + "NameStartChar", "STRING" ] + + grammarFileName = "XPathLexer.g4" + + def __init__(self, input=None): + super().__init__(input) + self.checkVersion("4.9.1") + self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache()) + self._actions = None + self._predicates = None + + + def action(self, localctx:RuleContext, ruleIndex:int, actionIndex:int): + if self._actions is None: + actions = dict() + actions[4] = self.ID_action + self._actions = actions + _action = self._actions.get(ruleIndex, None) + if _action is not None: + _action(localctx, actionIndex) + else: + raise Exception("No registered action for: %d" % ruleIndex) + + def ID_action(self, localctx:RuleContext , actionIndex:int): + if actionIndex == 0: + char = self.text[0] + if char.isupper(): + self.type = XPathLexer.TOKEN_REF + else: + self.type = XPathLexer.RULE_REF + +class XPath(object): + + WILDCARD = "*" # word not operator/separator + NOT = "!" # word for invert operator + + def __init__(self, parser:Parser, path:str): + self.parser = parser + self.path = path + self.elements = self.split(path) + + def split(self, path:str): + input = InputStream(path) + lexer = XPathLexer(input) + def recover(self, e): + raise e + lexer.recover = recover + lexer.removeErrorListeners() + lexer.addErrorListener(ErrorListener()) # XPathErrorListener does no more + tokenStream = CommonTokenStream(lexer) + try: + tokenStream.fill() + except LexerNoViableAltException as e: + pos = lexer.column + msg = "Invalid tokens or characters at index %d in path '%s'" % (pos, path) + raise Exception(msg, e) + + tokens = iter(tokenStream.tokens) + elements = list() + for el in tokens: + invert = False + anywhere = False + # Check for path separators, if none assume root + if el.type in [XPathLexer.ROOT, XPathLexer.ANYWHERE]: + anywhere = el.type == XPathLexer.ANYWHERE + next_el = next(tokens, None) + if not next_el: + raise Exception('Missing element after %s' % el.getText()) + else: + el = next_el + # Check for bangs + if el.type == XPathLexer.BANG: + invert = True + next_el = next(tokens, None) + if not next_el: + raise Exception('Missing element after %s' % el.getText()) + else: + el = next_el + # Add searched element + if el.type in [XPathLexer.TOKEN_REF, XPathLexer.RULE_REF, XPathLexer.WILDCARD, XPathLexer.STRING]: + element = self.getXPathElement(el, anywhere) + element.invert = invert + elements.append(element) + elif el.type==Token.EOF: + break + else: + raise Exception("Unknown path element %s" % lexer.symbolicNames[el.type]) + return elements + + # + # Convert word like {@code#} or {@code ID} or {@code expr} to a path + # element. {@code anywhere} is {@code true} if {@code //} precedes the + # word. + # + def getXPathElement(self, wordToken:Token, anywhere:bool): + if wordToken.type==Token.EOF: + raise Exception("Missing path element at end of path") + + word = wordToken.text + if wordToken.type==XPathLexer.WILDCARD : + return XPathWildcardAnywhereElement() if anywhere else XPathWildcardElement() + + elif wordToken.type in [XPathLexer.TOKEN_REF, XPathLexer.STRING]: + tsource = self.parser.getTokenStream().tokenSource + + ttype = Token.INVALID_TYPE + if wordToken.type == XPathLexer.TOKEN_REF: + if word in tsource.ruleNames: + ttype = tsource.ruleNames.index(word) + 1 + else: + if word in tsource.literalNames: + ttype = tsource.literalNames.index(word) + + if ttype == Token.INVALID_TYPE: + raise Exception("%s at index %d isn't a valid token name" % (word, wordToken.tokenIndex)) + return XPathTokenAnywhereElement(word, ttype) if anywhere else XPathTokenElement(word, ttype) + + else: + ruleIndex = self.parser.ruleNames.index(word) if word in self.parser.ruleNames else -1 + + if ruleIndex == -1: + raise Exception("%s at index %d isn't a valid rule name" % (word, wordToken.tokenIndex)) + return XPathRuleAnywhereElement(word, ruleIndex) if anywhere else XPathRuleElement(word, ruleIndex) + + + @staticmethod + def findAll(tree:ParseTree, xpath:str, parser:Parser): + p = XPath(parser, xpath) + return p.evaluate(tree) + + # + # Return a list of all nodes starting at {@code t} as root that satisfy the + # path. The root {@code /} is relative to the node passed to + # {@link #evaluate}. + # + def evaluate(self, t:ParseTree): + dummyRoot = ParserRuleContext() + dummyRoot.children = [t] # don't set t's parent. + + work = [dummyRoot] + for element in self.elements: + work_next = list() + for node in work: + if not isinstance(node, TerminalNode) and node.children: + # only try to match next element if it has children + # e.g., //func/*/stat might have a token node for which + # we can't go looking for stat nodes. + matching = element.evaluate(node) + + # See issue antlr#370 - Prevents XPath from returning the + # same node multiple times + matching = filter(lambda m: m not in work_next, matching) + + work_next.extend(matching) + work = work_next + + return work + + +class XPathElement(object): + + def __init__(self, nodeName:str): + self.nodeName = nodeName + self.invert = False + + def __str__(self): + return type(self).__name__ + "[" + ("!" if self.invert else "") + self.nodeName + "]" + + + +# +# Either {@code ID} at start of path or {@code ...//ID} in middle of path. +# +class XPathRuleAnywhereElement(XPathElement): + + def __init__(self, ruleName:str, ruleIndex:int): + super().__init__(ruleName) + self.ruleIndex = ruleIndex + + def evaluate(self, t:ParseTree): + # return all ParserRuleContext descendants of t that match ruleIndex (or do not match if inverted) + return filter(lambda c: isinstance(c, ParserRuleContext) and (self.invert ^ (c.getRuleIndex() == self.ruleIndex)), Trees.descendants(t)) + +class XPathRuleElement(XPathElement): + + def __init__(self, ruleName:str, ruleIndex:int): + super().__init__(ruleName) + self.ruleIndex = ruleIndex + + def evaluate(self, t:ParseTree): + # return all ParserRuleContext children of t that match ruleIndex (or do not match if inverted) + return filter(lambda c: isinstance(c, ParserRuleContext) and (self.invert ^ (c.getRuleIndex() == self.ruleIndex)), Trees.getChildren(t)) + +class XPathTokenAnywhereElement(XPathElement): + + def __init__(self, ruleName:str, tokenType:int): + super().__init__(ruleName) + self.tokenType = tokenType + + def evaluate(self, t:ParseTree): + # return all TerminalNode descendants of t that match tokenType (or do not match if inverted) + return filter(lambda c: isinstance(c, TerminalNode) and (self.invert ^ (c.symbol.type == self.tokenType)), Trees.descendants(t)) + +class XPathTokenElement(XPathElement): + + def __init__(self, ruleName:str, tokenType:int): + super().__init__(ruleName) + self.tokenType = tokenType + + def evaluate(self, t:ParseTree): + # return all TerminalNode children of t that match tokenType (or do not match if inverted) + return filter(lambda c: isinstance(c, TerminalNode) and (self.invert ^ (c.symbol.type == self.tokenType)), Trees.getChildren(t)) + + +class XPathWildcardAnywhereElement(XPathElement): + + def __init__(self): + super().__init__(XPath.WILDCARD) + + def evaluate(self, t:ParseTree): + if self.invert: + return list() # !* is weird but valid (empty) + else: + return Trees.descendants(t) + + +class XPathWildcardElement(XPathElement): + + def __init__(self): + super().__init__(XPath.WILDCARD) + + + def evaluate(self, t:ParseTree): + if self.invert: + return list() # !* is weird but valid (empty) + else: + return Trees.getChildren(t) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/xpath/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/xpath/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..216c000dc5ffc8e53cc9c596e420c1e67604d1aa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4/xpath/__init__.py @@ -0,0 +1 @@ +__author__ = 'ericvergnaud' diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..4729e215e6127997f4ecafeddb784ac0344edab3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/METADATA @@ -0,0 +1,15 @@ +Metadata-Version: 2.4 +Name: antlr4-python3-runtime +Version: 4.9.3 +Summary: ANTLR 4.9.3 runtime for Python 3.7 +Home-page: http://www.antlr.org +Author: Eric Vergnaud, Terence Parr, Sam Harwell +Author-email: eric.vergnaud@wanadoo.fr +License: BSD +Requires-Dist: typing; python_version < "3.5" +Dynamic: author +Dynamic: author-email +Dynamic: home-page +Dynamic: license +Dynamic: requires-dist +Dynamic: summary diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..c88e287e1d1617058981c686e4bdfd49ae361698 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/RECORD @@ -0,0 +1,118 @@ 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+1,5 @@ +Wheel-Version: 1.0 +Generator: setuptools (80.9.0) +Root-Is-Purelib: true +Tag: py3-none-any + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/top_level.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dee19f3e13c2cbbb49b818e6ac67c63f77b865f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/antlr4_python3_runtime-4.9.3.dist-info/top_level.txt @@ -0,0 +1 @@ +antlr4 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..033c86b7a40a331f281bd406e991ef1db597c208 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/LICENSE @@ -0,0 +1,13 @@ +Copyright 2016-2020 aio-libs collaboration. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..1eecd7d586cde8ccf4b4a460422d2566b665937b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/METADATA @@ -0,0 +1,163 @@ +Metadata-Version: 2.1 +Name: async-timeout +Version: 5.0.1 +Summary: Timeout context manager for asyncio programs +Home-page: https://github.com/aio-libs/async-timeout +Author: Andrew Svetlov +Author-email: andrew.svetlov@gmail.com +License: Apache 2 +Project-URL: Chat: Gitter, https://gitter.im/aio-libs/Lobby +Project-URL: CI: GitHub Actions, https://github.com/aio-libs/async-timeout/actions +Project-URL: Coverage: codecov, https://codecov.io/github/aio-libs/async-timeout +Project-URL: GitHub: issues, https://github.com/aio-libs/async-timeout/issues +Project-URL: GitHub: repo, https://github.com/aio-libs/async-timeout +Classifier: Development Status :: 5 - Production/Stable +Classifier: Topic :: Software Development :: Libraries +Classifier: Framework :: AsyncIO +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: Apache Software License +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3 :: Only +Requires-Python: >=3.8 +Description-Content-Type: text/x-rst +License-File: LICENSE + +async-timeout +============= +.. image:: https://travis-ci.com/aio-libs/async-timeout.svg?branch=master + :target: https://travis-ci.com/aio-libs/async-timeout +.. image:: https://codecov.io/gh/aio-libs/async-timeout/branch/master/graph/badge.svg + :target: https://codecov.io/gh/aio-libs/async-timeout +.. image:: https://img.shields.io/pypi/v/async-timeout.svg + :target: https://pypi.python.org/pypi/async-timeout +.. image:: https://badges.gitter.im/Join%20Chat.svg + :target: https://gitter.im/aio-libs/Lobby + :alt: Chat on Gitter + +asyncio-compatible timeout context manager. + + + +DEPRECATED +---------- + +This library has effectively been upstreamed into Python 3.11+. + +Therefore this library is considered deprecated and no longer actively supported. + +Version 5.0+ provides dual-mode when executed on Python 3.11+: +``asyncio_timeout.Timeout`` is fully compatible with ``asyncio.Timeout`` *and* old +versions of the library. + +Anyway, using upstream is highly recommended. ``asyncio_timeout`` exists only for the +sake of backward compatibility, easy supporting both old and new Python by the same +code, and easy misgration. + +If rescheduling API is not important and only ``async with timeout(...): ...`` functionality is required, +a user could apply conditional import:: + + if sys.version_info >= (3, 11): + from asyncio import timeout, timeout_at + else: + from async_timeout import timeout, timeout_at + + +Usage example +------------- + + +The context manager is useful in cases when you want to apply timeout +logic around block of code or in cases when ``asyncio.wait_for()`` is +not suitable. Also it's much faster than ``asyncio.wait_for()`` +because ``timeout`` doesn't create a new task. + +The ``timeout(delay, *, loop=None)`` call returns a context manager +that cancels a block on *timeout* expiring:: + + from async_timeout import timeout + async with timeout(1.5): + await inner() + +1. If ``inner()`` is executed faster than in ``1.5`` seconds nothing + happens. +2. Otherwise ``inner()`` is cancelled internally by sending + ``asyncio.CancelledError`` into but ``asyncio.TimeoutError`` is + raised outside of context manager scope. + +*timeout* parameter could be ``None`` for skipping timeout functionality. + + +Alternatively, ``timeout_at(when)`` can be used for scheduling +at the absolute time:: + + loop = asyncio.get_event_loop() + now = loop.time() + + async with timeout_at(now + 1.5): + await inner() + + +Please note: it is not POSIX time but a time with +undefined starting base, e.g. the time of the system power on. + + +Context manager has ``.expired()`` / ``.expired`` for check if timeout happens +exactly in context manager:: + + async with timeout(1.5) as cm: + await inner() + print(cm.expired()) # recommended api + print(cm.expired) # compatible api + +The property is ``True`` if ``inner()`` execution is cancelled by +timeout context manager. + +If ``inner()`` call explicitly raises ``TimeoutError`` ``cm.expired`` +is ``False``. + +The scheduled deadline time is available as ``.when()`` / ``.deadline``:: + + async with timeout(1.5) as cm: + cm.when() # recommended api + cm.deadline # compatible api + +Not finished yet timeout can be rescheduled by ``shift()`` +or ``update()`` methods:: + + async with timeout(1.5) as cm: + # recommended api + cm.reschedule(cm.when() + 1) # add another second on waiting + # compatible api + cm.shift(1) # add another second on waiting + cm.update(loop.time() + 5) # reschedule to now+5 seconds + +Rescheduling is forbidden if the timeout is expired or after exit from ``async with`` +code block. + + +Disable scheduled timeout:: + + async with timeout(1.5) as cm: + cm.reschedule(None) # recommended api + cm.reject() # compatible api + + + +Installation +------------ + +:: + + $ pip install async-timeout + +The library is Python 3 only! + + + +Authors and License +------------------- + +The module is written by Andrew Svetlov. + +It's *Apache 2* licensed and freely available. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..01d2f933fb8decc7a608d778c46e40c1b1b1588d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/RECORD @@ -0,0 +1,10 @@ +async_timeout-5.0.1.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +async_timeout-5.0.1.dist-info/LICENSE,sha256=4Y17uPUT4sRrtYXJS1hb0wcg3TzLId2weG9y0WZY-Sw,568 +async_timeout-5.0.1.dist-info/METADATA,sha256=RVDNEIPYIBJKPsjThJDaKRX1h79-4QYQNuBLSXPItU8,5131 +async_timeout-5.0.1.dist-info/RECORD,, +async_timeout-5.0.1.dist-info/WHEEL,sha256=P9jw-gEje8ByB7_hXoICnHtVCrEwMQh-630tKvQWehc,91 +async_timeout-5.0.1.dist-info/top_level.txt,sha256=9oM4e7Twq8iD_7_Q3Mz0E6GPIB6vJvRFo-UBwUQtBDU,14 +async_timeout-5.0.1.dist-info/zip-safe,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1 +async_timeout/__init__.py,sha256=QF0zpfX1vGmxib7kAqNPm9YehPV0oBVozxJ--Mxq9dI,9186 +async_timeout/__pycache__/__init__.cpython-310.pyc,, +async_timeout/py.typed,sha256=tyozzRT1fziXETDxokmuyt6jhOmtjUbnVNJdZcG7ik0,12 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/WHEEL b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..9b78c44519d450e4036a1ea44361a2ac7b1ee300 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/WHEEL @@ -0,0 +1,5 @@ +Wheel-Version: 1.0 +Generator: setuptools (75.3.0) +Root-Is-Purelib: true +Tag: py3-none-any + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/top_level.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad29955ef909f5f38e96b6d8a6c9ba54d9bccd53 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/top_level.txt @@ -0,0 +1 @@ +async_timeout diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/zip-safe b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/zip-safe new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout-5.0.1.dist-info/zip-safe @@ -0,0 +1 @@ + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..fe4aa581635bb30ee4e880366b1bbab6227fb148 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout/__init__.py @@ -0,0 +1,276 @@ +import asyncio +import enum +import sys +from types import TracebackType +from typing import Optional, Type, final + + +__version__ = "5.0.1" + + +__all__ = ("timeout", "timeout_at", "Timeout") + + +def timeout(delay: Optional[float]) -> "Timeout": + """timeout context manager. + + Useful in cases when you want to apply timeout logic around block + of code or in cases when asyncio.wait_for is not suitable. For example: + + >>> async with timeout(0.001): + ... async with aiohttp.get('https://github.com') as r: + ... await r.text() + + + delay - value in seconds or None to disable timeout logic + """ + loop = asyncio.get_running_loop() + if delay is not None: + deadline = loop.time() + delay # type: Optional[float] + else: + deadline = None + return Timeout(deadline, loop) + + +def timeout_at(deadline: Optional[float]) -> "Timeout": + """Schedule the timeout at absolute time. + + deadline argument points on the time in the same clock system + as loop.time(). + + Please note: it is not POSIX time but a time with + undefined starting base, e.g. the time of the system power on. + + >>> async with timeout_at(loop.time() + 10): + ... async with aiohttp.get('https://github.com') as r: + ... await r.text() + + + """ + loop = asyncio.get_running_loop() + return Timeout(deadline, loop) + + +class _State(enum.Enum): + INIT = "INIT" + ENTER = "ENTER" + TIMEOUT = "TIMEOUT" + EXIT = "EXIT" + + +if sys.version_info >= (3, 11): + + class _Expired: + __slots__ = ("_val",) + + def __init__(self, val: bool) -> None: + self._val = val + + def __call__(self) -> bool: + return self._val + + def __bool__(self) -> bool: + return self._val + + def __repr__(self) -> str: + return repr(self._val) + + def __str__(self) -> str: + return str(self._val) + + @final + class Timeout(asyncio.Timeout): # type: ignore[misc] + # Supports full asyncio.Timeout API. + # Also provides several asyncio_timeout specific methods + # for backward compatibility. + def __init__( + self, deadline: Optional[float], loop: asyncio.AbstractEventLoop + ) -> None: + super().__init__(deadline) + + @property + def expired(self) -> _Expired: + # a hacky property hat can provide both roles: + # timeout.expired() from asyncio + # timeout.expired from asyncio_timeout + return _Expired(super().expired()) + + @property + def deadline(self) -> Optional[float]: + return self.when() + + def reject(self) -> None: + """Reject scheduled timeout if any.""" + # cancel is maybe better name but + # task.cancel() raises CancelledError in asyncio world. + self.reschedule(None) + + def shift(self, delay: float) -> None: + """Advance timeout on delay seconds. + + The delay can be negative. + + Raise RuntimeError if shift is called when deadline is not scheduled + """ + deadline = self.when() + if deadline is None: + raise RuntimeError("cannot shift timeout if deadline is not scheduled") + self.reschedule(deadline + delay) + + def update(self, deadline: float) -> None: + """Set deadline to absolute value. + + deadline argument points on the time in the same clock system + as loop.time(). + + If new deadline is in the past the timeout is raised immediately. + + Please note: it is not POSIX time but a time with + undefined starting base, e.g. the time of the system power on. + """ + self.reschedule(deadline) + +else: + + @final + class Timeout: + # Internal class, please don't instantiate it directly + # Use timeout() and timeout_at() public factories instead. + # + # Implementation note: `async with timeout()` is preferred + # over `with timeout()`. + # While technically the Timeout class implementation + # doesn't need to be async at all, + # the `async with` statement explicitly points that + # the context manager should be used from async function context. + # + # This design allows to avoid many silly misusages. + # + # TimeoutError is raised immediately when scheduled + # if the deadline is passed. + # The purpose is to time out as soon as possible + # without waiting for the next await expression. + + __slots__ = ("_deadline", "_loop", "_state", "_timeout_handler", "_task") + + def __init__( + self, deadline: Optional[float], loop: asyncio.AbstractEventLoop + ) -> None: + self._loop = loop + self._state = _State.INIT + + self._task: Optional["asyncio.Task[object]"] = None + self._timeout_handler = None # type: Optional[asyncio.Handle] + if deadline is None: + self._deadline = None # type: Optional[float] + else: + self.update(deadline) + + async def __aenter__(self) -> "Timeout": + self._do_enter() + return self + + async def __aexit__( + self, + exc_type: Optional[Type[BaseException]], + exc_val: Optional[BaseException], + exc_tb: Optional[TracebackType], + ) -> Optional[bool]: + self._do_exit(exc_type) + return None + + @property + def expired(self) -> bool: + """Is timeout expired during execution?""" + return self._state == _State.TIMEOUT + + @property + def deadline(self) -> Optional[float]: + return self._deadline + + def reject(self) -> None: + """Reject scheduled timeout if any.""" + # cancel is maybe better name but + # task.cancel() raises CancelledError in asyncio world. + if self._state not in (_State.INIT, _State.ENTER): + raise RuntimeError(f"invalid state {self._state.value}") + self._reject() + + def _reject(self) -> None: + self._task = None + if self._timeout_handler is not None: + self._timeout_handler.cancel() + self._timeout_handler = None + + def shift(self, delay: float) -> None: + """Advance timeout on delay seconds. + + The delay can be negative. + + Raise RuntimeError if shift is called when deadline is not scheduled + """ + deadline = self._deadline + if deadline is None: + raise RuntimeError("cannot shift timeout if deadline is not scheduled") + self.update(deadline + delay) + + def update(self, deadline: float) -> None: + """Set deadline to absolute value. + + deadline argument points on the time in the same clock system + as loop.time(). + + If new deadline is in the past the timeout is raised immediately. + + Please note: it is not POSIX time but a time with + undefined starting base, e.g. the time of the system power on. + """ + if self._state == _State.EXIT: + raise RuntimeError("cannot reschedule after exit from context manager") + if self._state == _State.TIMEOUT: + raise RuntimeError("cannot reschedule expired timeout") + if self._timeout_handler is not None: + self._timeout_handler.cancel() + self._deadline = deadline + if self._state != _State.INIT: + self._reschedule() + + def _reschedule(self) -> None: + assert self._state == _State.ENTER + deadline = self._deadline + if deadline is None: + return + + now = self._loop.time() + if self._timeout_handler is not None: + self._timeout_handler.cancel() + + self._task = asyncio.current_task() + if deadline <= now: + self._timeout_handler = self._loop.call_soon(self._on_timeout) + else: + self._timeout_handler = self._loop.call_at(deadline, self._on_timeout) + + def _do_enter(self) -> None: + if self._state != _State.INIT: + raise RuntimeError(f"invalid state {self._state.value}") + self._state = _State.ENTER + self._reschedule() + + def _do_exit(self, exc_type: Optional[Type[BaseException]]) -> None: + if exc_type is asyncio.CancelledError and self._state == _State.TIMEOUT: + assert self._task is not None + self._timeout_handler = None + self._task = None + raise asyncio.TimeoutError + # timeout has not expired + self._state = _State.EXIT + self._reject() + return None + + def _on_timeout(self) -> None: + assert self._task is not None + self._task.cancel() + self._state = _State.TIMEOUT + # drop the reference early + self._timeout_handler = None diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..3b94f915737aba1f12a0f067fdba3726bfe02df5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/async_timeout/py.typed @@ -0,0 +1 @@ +Placeholder diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5c6e0650bc4bf53806420d7ef5f881ecd2bd77ea --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/__init__.py @@ -0,0 +1,104 @@ +# SPDX-License-Identifier: MIT + +""" +Classes Without Boilerplate +""" + +from functools import partial +from typing import Callable, Literal, Protocol + +from . import converters, exceptions, filters, setters, validators +from ._cmp import cmp_using +from ._config import get_run_validators, set_run_validators +from ._funcs import asdict, assoc, astuple, has, resolve_types +from ._make import ( + NOTHING, + Attribute, + Converter, + Factory, + _Nothing, + attrib, + attrs, + evolve, + fields, + fields_dict, + make_class, + validate, +) +from ._next_gen import define, field, frozen, mutable +from ._version_info import VersionInfo + + +s = attributes = attrs +ib = attr = attrib +dataclass = partial(attrs, auto_attribs=True) # happy Easter ;) + + +class AttrsInstance(Protocol): + pass + + +NothingType = Literal[_Nothing.NOTHING] + +__all__ = [ + "NOTHING", + "Attribute", + "AttrsInstance", + "Converter", + "Factory", + "NothingType", + "asdict", + "assoc", + "astuple", + "attr", + "attrib", + "attributes", + "attrs", + "cmp_using", + "converters", + "define", + "evolve", + "exceptions", + "field", + "fields", + "fields_dict", + "filters", + "frozen", + "get_run_validators", + "has", + "ib", + "make_class", + "mutable", + "resolve_types", + "s", + "set_run_validators", + "setters", + "validate", + "validators", +] + + +def _make_getattr(mod_name: str) -> Callable: + """ + Create a metadata proxy for packaging information that uses *mod_name* in + its warnings and errors. + """ + + def __getattr__(name: str) -> str: + if name not in ("__version__", "__version_info__"): + msg = f"module {mod_name} has no attribute {name}" + raise AttributeError(msg) + + from importlib.metadata import metadata + + meta = metadata("attrs") + + if name == "__version_info__": + return VersionInfo._from_version_string(meta["version"]) + + return meta["version"] + + return __getattr__ + + +__getattr__ = _make_getattr(__name__) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/__init__.pyi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/__init__.pyi new file mode 100644 index 0000000000000000000000000000000000000000..8d78fa19abe1a529af98889eb40017c32d5b62a2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/__init__.pyi @@ -0,0 +1,389 @@ +import enum +import sys + +from typing import ( + Any, + Callable, + Generic, + Literal, + Mapping, + Protocol, + Sequence, + TypeVar, + overload, +) + +# `import X as X` is required to make these public +from . import converters as converters +from . import exceptions as exceptions +from . import filters as filters +from . import setters as setters +from . import validators as validators +from ._cmp import cmp_using as cmp_using +from ._typing_compat import AttrsInstance_ +from ._version_info import VersionInfo +from attrs import ( + define as define, + field as field, + mutable as mutable, + frozen as frozen, + _EqOrderType, + _ValidatorType, + _ConverterType, + _ReprArgType, + _OnSetAttrType, + _OnSetAttrArgType, + _FieldTransformer, + _ValidatorArgType, +) + +if sys.version_info >= (3, 10): + from typing import TypeGuard, TypeAlias +else: + from typing_extensions import TypeGuard, TypeAlias + +if sys.version_info >= (3, 11): + from typing import dataclass_transform +else: + from typing_extensions import dataclass_transform + +__version__: str +__version_info__: VersionInfo +__title__: str +__description__: str +__url__: str +__uri__: str +__author__: str +__email__: str +__license__: str +__copyright__: str + +_T = TypeVar("_T") +_C = TypeVar("_C", bound=type) + +_FilterType = Callable[["Attribute[_T]", _T], bool] + +# We subclass this here to keep the protocol's qualified name clean. +class AttrsInstance(AttrsInstance_, Protocol): + pass + +_A = TypeVar("_A", bound=type[AttrsInstance]) + +class _Nothing(enum.Enum): + NOTHING = enum.auto() + +NOTHING = _Nothing.NOTHING +NothingType: TypeAlias = Literal[_Nothing.NOTHING] + +# NOTE: Factory lies about its return type to make this possible: +# `x: List[int] # = Factory(list)` +# Work around mypy issue #4554 in the common case by using an overload. + +@overload +def Factory(factory: Callable[[], _T]) -> _T: ... +@overload +def Factory( + factory: Callable[[Any], _T], + takes_self: Literal[True], +) -> _T: ... +@overload +def Factory( + factory: Callable[[], _T], + takes_self: Literal[False], +) -> _T: ... + +In = TypeVar("In") +Out = TypeVar("Out") + +class Converter(Generic[In, Out]): + @overload + def __init__(self, converter: Callable[[In], Out]) -> None: ... + @overload + def __init__( + self, + converter: Callable[[In, AttrsInstance, Attribute], Out], + *, + takes_self: Literal[True], + takes_field: Literal[True], + ) -> None: ... + @overload + def __init__( + self, + converter: Callable[[In, Attribute], Out], + *, + takes_field: Literal[True], + ) -> None: ... + @overload + def __init__( + self, + converter: Callable[[In, AttrsInstance], Out], + *, + takes_self: Literal[True], + ) -> None: ... + +class Attribute(Generic[_T]): + name: str + default: _T | None + validator: _ValidatorType[_T] | None + repr: _ReprArgType + cmp: _EqOrderType + eq: _EqOrderType + order: _EqOrderType + hash: bool | None + init: bool + converter: Converter | None + metadata: dict[Any, Any] + type: type[_T] | None + kw_only: bool + on_setattr: _OnSetAttrType + alias: str | None + + def evolve(self, **changes: Any) -> "Attribute[Any]": ... + +# NOTE: We had several choices for the annotation to use for type arg: +# 1) Type[_T] +# - Pros: Handles simple cases correctly +# - Cons: Might produce less informative errors in the case of conflicting +# TypeVars e.g. `attr.ib(default='bad', type=int)` +# 2) Callable[..., _T] +# - Pros: Better error messages than #1 for conflicting TypeVars +# - Cons: Terrible error messages for validator checks. +# e.g. attr.ib(type=int, validator=validate_str) +# -> error: Cannot infer function type argument +# 3) type (and do all of the work in the mypy plugin) +# - Pros: Simple here, and we could customize the plugin with our own errors. +# - Cons: Would need to write mypy plugin code to handle all the cases. +# We chose option #1. + +# `attr` lies about its return type to make the following possible: +# attr() -> Any +# attr(8) -> int +# attr(validator=) -> Whatever the callable expects. +# This makes this type of assignments possible: +# x: int = attr(8) +# +# This form catches explicit None or no default but with no other arguments +# returns Any. +@overload +def attrib( + default: None = ..., + validator: None = ..., + repr: _ReprArgType = ..., + cmp: _EqOrderType | None = ..., + hash: bool | None = ..., + init: bool = ..., + metadata: Mapping[Any, Any] | None = ..., + type: None = ..., + converter: None = ..., + factory: None = ..., + kw_only: bool | None = ..., + eq: _EqOrderType | None = ..., + order: _EqOrderType | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + alias: str | None = ..., +) -> Any: ... + +# This form catches an explicit None or no default and infers the type from the +# other arguments. +@overload +def attrib( + default: None = ..., + validator: _ValidatorArgType[_T] | None = ..., + repr: _ReprArgType = ..., + cmp: _EqOrderType | None = ..., + hash: bool | None = ..., + init: bool = ..., + metadata: Mapping[Any, Any] | None = ..., + type: type[_T] | None = ..., + converter: _ConverterType + | list[_ConverterType] + | tuple[_ConverterType] + | None = ..., + factory: Callable[[], _T] | None = ..., + kw_only: bool | None = ..., + eq: _EqOrderType | None = ..., + order: _EqOrderType | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + alias: str | None = ..., +) -> _T: ... + +# This form catches an explicit default argument. +@overload +def attrib( + default: _T, + validator: _ValidatorArgType[_T] | None = ..., + repr: _ReprArgType = ..., + cmp: _EqOrderType | None = ..., + hash: bool | None = ..., + init: bool = ..., + metadata: Mapping[Any, Any] | None = ..., + type: type[_T] | None = ..., + converter: _ConverterType + | list[_ConverterType] + | tuple[_ConverterType] + | None = ..., + factory: Callable[[], _T] | None = ..., + kw_only: bool | None = ..., + eq: _EqOrderType | None = ..., + order: _EqOrderType | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + alias: str | None = ..., +) -> _T: ... + +# This form covers type=non-Type: e.g. forward references (str), Any +@overload +def attrib( + default: _T | None = ..., + validator: _ValidatorArgType[_T] | None = ..., + repr: _ReprArgType = ..., + cmp: _EqOrderType | None = ..., + hash: bool | None = ..., + init: bool = ..., + metadata: Mapping[Any, Any] | None = ..., + type: object = ..., + converter: _ConverterType + | list[_ConverterType] + | tuple[_ConverterType] + | None = ..., + factory: Callable[[], _T] | None = ..., + kw_only: bool | None = ..., + eq: _EqOrderType | None = ..., + order: _EqOrderType | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + alias: str | None = ..., +) -> Any: ... +@overload +@dataclass_transform(order_default=True, field_specifiers=(attrib, field)) +def attrs( + maybe_cls: _C, + these: dict[str, Any] | None = ..., + repr_ns: str | None = ..., + repr: bool = ..., + cmp: _EqOrderType | None = ..., + hash: bool | None = ..., + init: bool = ..., + slots: bool = ..., + frozen: bool = ..., + weakref_slot: bool = ..., + str: bool = ..., + auto_attribs: bool = ..., + kw_only: bool = ..., + cache_hash: bool = ..., + auto_exc: bool = ..., + eq: _EqOrderType | None = ..., + order: _EqOrderType | None = ..., + auto_detect: bool = ..., + collect_by_mro: bool = ..., + getstate_setstate: bool | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + field_transformer: _FieldTransformer | None = ..., + match_args: bool = ..., + unsafe_hash: bool | None = ..., +) -> _C: ... +@overload +@dataclass_transform(order_default=True, field_specifiers=(attrib, field)) +def attrs( + maybe_cls: None = ..., + these: dict[str, Any] | None = ..., + repr_ns: str | None = ..., + repr: bool = ..., + cmp: _EqOrderType | None = ..., + hash: bool | None = ..., + init: bool = ..., + slots: bool = ..., + frozen: bool = ..., + weakref_slot: bool = ..., + str: bool = ..., + auto_attribs: bool = ..., + kw_only: bool = ..., + cache_hash: bool = ..., + auto_exc: bool = ..., + eq: _EqOrderType | None = ..., + order: _EqOrderType | None = ..., + auto_detect: bool = ..., + collect_by_mro: bool = ..., + getstate_setstate: bool | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + field_transformer: _FieldTransformer | None = ..., + match_args: bool = ..., + unsafe_hash: bool | None = ..., +) -> Callable[[_C], _C]: ... +def fields(cls: type[AttrsInstance]) -> Any: ... +def fields_dict(cls: type[AttrsInstance]) -> dict[str, Attribute[Any]]: ... +def validate(inst: AttrsInstance) -> None: ... +def resolve_types( + cls: _A, + globalns: dict[str, Any] | None = ..., + localns: dict[str, Any] | None = ..., + attribs: list[Attribute[Any]] | None = ..., + include_extras: bool = ..., +) -> _A: ... + +# TODO: add support for returning a proper attrs class from the mypy plugin +# we use Any instead of _CountingAttr so that e.g. `make_class('Foo', +# [attr.ib()])` is valid +def make_class( + name: str, + attrs: list[str] | tuple[str, ...] | dict[str, Any], + bases: tuple[type, ...] = ..., + class_body: dict[str, Any] | None = ..., + repr_ns: str | None = ..., + repr: bool = ..., + cmp: _EqOrderType | None = ..., + hash: bool | None = ..., + init: bool = ..., + slots: bool = ..., + frozen: bool = ..., + weakref_slot: bool = ..., + str: bool = ..., + auto_attribs: bool = ..., + kw_only: bool = ..., + cache_hash: bool = ..., + auto_exc: bool = ..., + eq: _EqOrderType | None = ..., + order: _EqOrderType | None = ..., + collect_by_mro: bool = ..., + on_setattr: _OnSetAttrArgType | None = ..., + field_transformer: _FieldTransformer | None = ..., +) -> type: ... + +# _funcs -- + +# TODO: add support for returning TypedDict from the mypy plugin +# FIXME: asdict/astuple do not honor their factory args. Waiting on one of +# these: +# https://github.com/python/mypy/issues/4236 +# https://github.com/python/typing/issues/253 +# XXX: remember to fix attrs.asdict/astuple too! +def asdict( + inst: AttrsInstance, + recurse: bool = ..., + filter: _FilterType[Any] | None = ..., + dict_factory: type[Mapping[Any, Any]] = ..., + retain_collection_types: bool = ..., + value_serializer: Callable[[type, Attribute[Any], Any], Any] | None = ..., + tuple_keys: bool | None = ..., +) -> dict[str, Any]: ... + +# TODO: add support for returning NamedTuple from the mypy plugin +def astuple( + inst: AttrsInstance, + recurse: bool = ..., + filter: _FilterType[Any] | None = ..., + tuple_factory: type[Sequence[Any]] = ..., + retain_collection_types: bool = ..., +) -> tuple[Any, ...]: ... +def has(cls: type) -> TypeGuard[type[AttrsInstance]]: ... +def assoc(inst: _T, **changes: Any) -> _T: ... +def evolve(inst: _T, **changes: Any) -> _T: ... + +# _config -- + +def set_run_validators(run: bool) -> None: ... +def get_run_validators() -> bool: ... + +# aliases -- + +s = attributes = attrs +ib = attr = attrib +dataclass = attrs # Technically, partial(attrs, auto_attribs=True) ;) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_cmp.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_cmp.py new file mode 100644 index 0000000000000000000000000000000000000000..09bab491f83ef4d15129f34b5f5a9e69bb34d63c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_cmp.py @@ -0,0 +1,160 @@ +# SPDX-License-Identifier: MIT + + +import functools +import types + +from ._make import __ne__ + + +_operation_names = {"eq": "==", "lt": "<", "le": "<=", "gt": ">", "ge": ">="} + + +def cmp_using( + eq=None, + lt=None, + le=None, + gt=None, + ge=None, + require_same_type=True, + class_name="Comparable", +): + """ + Create a class that can be passed into `attrs.field`'s ``eq``, ``order``, + and ``cmp`` arguments to customize field comparison. + + The resulting class will have a full set of ordering methods if at least + one of ``{lt, le, gt, ge}`` and ``eq`` are provided. + + Args: + eq (typing.Callable | None): + Callable used to evaluate equality of two objects. + + lt (typing.Callable | None): + Callable used to evaluate whether one object is less than another + object. + + le (typing.Callable | None): + Callable used to evaluate whether one object is less than or equal + to another object. + + gt (typing.Callable | None): + Callable used to evaluate whether one object is greater than + another object. + + ge (typing.Callable | None): + Callable used to evaluate whether one object is greater than or + equal to another object. + + require_same_type (bool): + When `True`, equality and ordering methods will return + `NotImplemented` if objects are not of the same type. + + class_name (str | None): Name of class. Defaults to "Comparable". + + See `comparison` for more details. + + .. versionadded:: 21.1.0 + """ + + body = { + "__slots__": ["value"], + "__init__": _make_init(), + "_requirements": [], + "_is_comparable_to": _is_comparable_to, + } + + # Add operations. + num_order_functions = 0 + has_eq_function = False + + if eq is not None: + has_eq_function = True + body["__eq__"] = _make_operator("eq", eq) + body["__ne__"] = __ne__ + + if lt is not None: + num_order_functions += 1 + body["__lt__"] = _make_operator("lt", lt) + + if le is not None: + num_order_functions += 1 + body["__le__"] = _make_operator("le", le) + + if gt is not None: + num_order_functions += 1 + body["__gt__"] = _make_operator("gt", gt) + + if ge is not None: + num_order_functions += 1 + body["__ge__"] = _make_operator("ge", ge) + + type_ = types.new_class( + class_name, (object,), {}, lambda ns: ns.update(body) + ) + + # Add same type requirement. + if require_same_type: + type_._requirements.append(_check_same_type) + + # Add total ordering if at least one operation was defined. + if 0 < num_order_functions < 4: + if not has_eq_function: + # functools.total_ordering requires __eq__ to be defined, + # so raise early error here to keep a nice stack. + msg = "eq must be define is order to complete ordering from lt, le, gt, ge." + raise ValueError(msg) + type_ = functools.total_ordering(type_) + + return type_ + + +def _make_init(): + """ + Create __init__ method. + """ + + def __init__(self, value): + """ + Initialize object with *value*. + """ + self.value = value + + return __init__ + + +def _make_operator(name, func): + """ + Create operator method. + """ + + def method(self, other): + if not self._is_comparable_to(other): + return NotImplemented + + result = func(self.value, other.value) + if result is NotImplemented: + return NotImplemented + + return result + + method.__name__ = f"__{name}__" + method.__doc__ = ( + f"Return a {_operation_names[name]} b. Computed by attrs." + ) + + return method + + +def _is_comparable_to(self, other): + """ + Check whether `other` is comparable to `self`. + """ + return all(func(self, other) for func in self._requirements) + + +def _check_same_type(self, other): + """ + Return True if *self* and *other* are of the same type, False otherwise. + """ + return other.value.__class__ is self.value.__class__ diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_cmp.pyi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_cmp.pyi new file mode 100644 index 0000000000000000000000000000000000000000..cc7893b04520afa719b1412c7646c3c1b39bf94b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_cmp.pyi @@ -0,0 +1,13 @@ +from typing import Any, Callable + +_CompareWithType = Callable[[Any, Any], bool] + +def cmp_using( + eq: _CompareWithType | None = ..., + lt: _CompareWithType | None = ..., + le: _CompareWithType | None = ..., + gt: _CompareWithType | None = ..., + ge: _CompareWithType | None = ..., + require_same_type: bool = ..., + class_name: str = ..., +) -> type: ... diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_compat.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_compat.py new file mode 100644 index 0000000000000000000000000000000000000000..bc68ed9eaf9853bcc6065e7691209a787bf2eccc --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_compat.py @@ -0,0 +1,99 @@ +# SPDX-License-Identifier: MIT + +import inspect +import platform +import sys +import threading + +from collections.abc import Mapping, Sequence # noqa: F401 +from typing import _GenericAlias + + +PYPY = platform.python_implementation() == "PyPy" +PY_3_10_PLUS = sys.version_info[:2] >= (3, 10) +PY_3_11_PLUS = sys.version_info[:2] >= (3, 11) +PY_3_12_PLUS = sys.version_info[:2] >= (3, 12) +PY_3_13_PLUS = sys.version_info[:2] >= (3, 13) +PY_3_14_PLUS = sys.version_info[:2] >= (3, 14) + + +if PY_3_14_PLUS: + import annotationlib + + # We request forward-ref annotations to not break in the presence of + # forward references. + + def _get_annotations(cls): + return annotationlib.get_annotations( + cls, format=annotationlib.Format.FORWARDREF + ) + +else: + + def _get_annotations(cls): + """ + Get annotations for *cls*. + """ + return cls.__dict__.get("__annotations__", {}) + + +class _AnnotationExtractor: + """ + Extract type annotations from a callable, returning None whenever there + is none. + """ + + __slots__ = ["sig"] + + def __init__(self, callable): + try: + self.sig = inspect.signature(callable) + except (ValueError, TypeError): # inspect failed + self.sig = None + + def get_first_param_type(self): + """ + Return the type annotation of the first argument if it's not empty. + """ + if not self.sig: + return None + + params = list(self.sig.parameters.values()) + if params and params[0].annotation is not inspect.Parameter.empty: + return params[0].annotation + + return None + + def get_return_type(self): + """ + Return the return type if it's not empty. + """ + if ( + self.sig + and self.sig.return_annotation is not inspect.Signature.empty + ): + return self.sig.return_annotation + + return None + + +# Thread-local global to track attrs instances which are already being repr'd. +# This is needed because there is no other (thread-safe) way to pass info +# about the instances that are already being repr'd through the call stack +# in order to ensure we don't perform infinite recursion. +# +# For instance, if an instance contains a dict which contains that instance, +# we need to know that we're already repr'ing the outside instance from within +# the dict's repr() call. +# +# This lives here rather than in _make.py so that the functions in _make.py +# don't have a direct reference to the thread-local in their globals dict. +# If they have such a reference, it breaks cloudpickle. +repr_context = threading.local() + + +def get_generic_base(cl): + """If this is a generic class (A[str]), return the generic base for it.""" + if cl.__class__ is _GenericAlias: + return cl.__origin__ + return None diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_config.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_config.py new file mode 100644 index 0000000000000000000000000000000000000000..4b257726fb1e8b95583ecc3eee8d153336dc4089 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_config.py @@ -0,0 +1,31 @@ +# SPDX-License-Identifier: MIT + +__all__ = ["get_run_validators", "set_run_validators"] + +_run_validators = True + + +def set_run_validators(run): + """ + Set whether or not validators are run. By default, they are run. + + .. deprecated:: 21.3.0 It will not be removed, but it also will not be + moved to new ``attrs`` namespace. Use `attrs.validators.set_disabled()` + instead. + """ + if not isinstance(run, bool): + msg = "'run' must be bool." + raise TypeError(msg) + global _run_validators + _run_validators = run + + +def get_run_validators(): + """ + Return whether or not validators are run. + + .. deprecated:: 21.3.0 It will not be removed, but it also will not be + moved to new ``attrs`` namespace. Use `attrs.validators.get_disabled()` + instead. + """ + return _run_validators diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_funcs.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_funcs.py new file mode 100644 index 0000000000000000000000000000000000000000..1adb50021373d9c09fcb9db0641bbc03248d54a3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_funcs.py @@ -0,0 +1,497 @@ +# SPDX-License-Identifier: MIT + + +import copy + +from ._compat import get_generic_base +from ._make import _OBJ_SETATTR, NOTHING, fields +from .exceptions import AttrsAttributeNotFoundError + + +_ATOMIC_TYPES = frozenset( + { + type(None), + bool, + int, + float, + str, + complex, + bytes, + type(...), + type, + range, + property, + } +) + + +def asdict( + inst, + recurse=True, + filter=None, + dict_factory=dict, + retain_collection_types=False, + value_serializer=None, +): + """ + Return the *attrs* attribute values of *inst* as a dict. + + Optionally recurse into other *attrs*-decorated classes. + + Args: + inst: Instance of an *attrs*-decorated class. + + recurse (bool): Recurse into classes that are also *attrs*-decorated. + + filter (~typing.Callable): + A callable whose return code determines whether an attribute or + element is included (`True`) or dropped (`False`). Is called with + the `attrs.Attribute` as the first argument and the value as the + second argument. + + dict_factory (~typing.Callable): + A callable to produce dictionaries from. For example, to produce + ordered dictionaries instead of normal Python dictionaries, pass in + ``collections.OrderedDict``. + + retain_collection_types (bool): + Do not convert to `list` when encountering an attribute whose type + is `tuple` or `set`. Only meaningful if *recurse* is `True`. + + value_serializer (typing.Callable | None): + A hook that is called for every attribute or dict key/value. It + receives the current instance, field and value and must return the + (updated) value. The hook is run *after* the optional *filter* has + been applied. + + Returns: + Return type of *dict_factory*. + + Raises: + attrs.exceptions.NotAnAttrsClassError: + If *cls* is not an *attrs* class. + + .. versionadded:: 16.0.0 *dict_factory* + .. versionadded:: 16.1.0 *retain_collection_types* + .. versionadded:: 20.3.0 *value_serializer* + .. versionadded:: 21.3.0 + If a dict has a collection for a key, it is serialized as a tuple. + """ + attrs = fields(inst.__class__) + rv = dict_factory() + for a in attrs: + v = getattr(inst, a.name) + if filter is not None and not filter(a, v): + continue + + if value_serializer is not None: + v = value_serializer(inst, a, v) + + if recurse is True: + value_type = type(v) + if value_type in _ATOMIC_TYPES: + rv[a.name] = v + elif has(value_type): + rv[a.name] = asdict( + v, + recurse=True, + filter=filter, + dict_factory=dict_factory, + retain_collection_types=retain_collection_types, + value_serializer=value_serializer, + ) + elif issubclass(value_type, (tuple, list, set, frozenset)): + cf = value_type if retain_collection_types is True else list + items = [ + _asdict_anything( + i, + is_key=False, + filter=filter, + dict_factory=dict_factory, + retain_collection_types=retain_collection_types, + value_serializer=value_serializer, + ) + for i in v + ] + try: + rv[a.name] = cf(items) + except TypeError: + if not issubclass(cf, tuple): + raise + # Workaround for TypeError: cf.__new__() missing 1 required + # positional argument (which appears, for a namedturle) + rv[a.name] = cf(*items) + elif issubclass(value_type, dict): + df = dict_factory + rv[a.name] = df( + ( + _asdict_anything( + kk, + is_key=True, + filter=filter, + dict_factory=df, + retain_collection_types=retain_collection_types, + value_serializer=value_serializer, + ), + _asdict_anything( + vv, + is_key=False, + filter=filter, + dict_factory=df, + retain_collection_types=retain_collection_types, + value_serializer=value_serializer, + ), + ) + for kk, vv in v.items() + ) + else: + rv[a.name] = v + else: + rv[a.name] = v + return rv + + +def _asdict_anything( + val, + is_key, + filter, + dict_factory, + retain_collection_types, + value_serializer, +): + """ + ``asdict`` only works on attrs instances, this works on anything. + """ + val_type = type(val) + if val_type in _ATOMIC_TYPES: + rv = val + if value_serializer is not None: + rv = value_serializer(None, None, rv) + elif getattr(val_type, "__attrs_attrs__", None) is not None: + # Attrs class. + rv = asdict( + val, + recurse=True, + filter=filter, + dict_factory=dict_factory, + retain_collection_types=retain_collection_types, + value_serializer=value_serializer, + ) + elif issubclass(val_type, (tuple, list, set, frozenset)): + if retain_collection_types is True: + cf = val.__class__ + elif is_key: + cf = tuple + else: + cf = list + + rv = cf( + [ + _asdict_anything( + i, + is_key=False, + filter=filter, + dict_factory=dict_factory, + retain_collection_types=retain_collection_types, + value_serializer=value_serializer, + ) + for i in val + ] + ) + elif issubclass(val_type, dict): + df = dict_factory + rv = df( + ( + _asdict_anything( + kk, + is_key=True, + filter=filter, + dict_factory=df, + retain_collection_types=retain_collection_types, + value_serializer=value_serializer, + ), + _asdict_anything( + vv, + is_key=False, + filter=filter, + dict_factory=df, + retain_collection_types=retain_collection_types, + value_serializer=value_serializer, + ), + ) + for kk, vv in val.items() + ) + else: + rv = val + if value_serializer is not None: + rv = value_serializer(None, None, rv) + + return rv + + +def astuple( + inst, + recurse=True, + filter=None, + tuple_factory=tuple, + retain_collection_types=False, +): + """ + Return the *attrs* attribute values of *inst* as a tuple. + + Optionally recurse into other *attrs*-decorated classes. + + Args: + inst: Instance of an *attrs*-decorated class. + + recurse (bool): + Recurse into classes that are also *attrs*-decorated. + + filter (~typing.Callable): + A callable whose return code determines whether an attribute or + element is included (`True`) or dropped (`False`). Is called with + the `attrs.Attribute` as the first argument and the value as the + second argument. + + tuple_factory (~typing.Callable): + A callable to produce tuples from. For example, to produce lists + instead of tuples. + + retain_collection_types (bool): + Do not convert to `list` or `dict` when encountering an attribute + which type is `tuple`, `dict` or `set`. Only meaningful if + *recurse* is `True`. + + Returns: + Return type of *tuple_factory* + + Raises: + attrs.exceptions.NotAnAttrsClassError: + If *cls* is not an *attrs* class. + + .. versionadded:: 16.2.0 + """ + attrs = fields(inst.__class__) + rv = [] + retain = retain_collection_types # Very long. :/ + for a in attrs: + v = getattr(inst, a.name) + if filter is not None and not filter(a, v): + continue + value_type = type(v) + if recurse is True: + if value_type in _ATOMIC_TYPES: + rv.append(v) + elif has(value_type): + rv.append( + astuple( + v, + recurse=True, + filter=filter, + tuple_factory=tuple_factory, + retain_collection_types=retain, + ) + ) + elif issubclass(value_type, (tuple, list, set, frozenset)): + cf = v.__class__ if retain is True else list + items = [ + ( + astuple( + j, + recurse=True, + filter=filter, + tuple_factory=tuple_factory, + retain_collection_types=retain, + ) + if has(j.__class__) + else j + ) + for j in v + ] + try: + rv.append(cf(items)) + except TypeError: + if not issubclass(cf, tuple): + raise + # Workaround for TypeError: cf.__new__() missing 1 required + # positional argument (which appears, for a namedturle) + rv.append(cf(*items)) + elif issubclass(value_type, dict): + df = value_type if retain is True else dict + rv.append( + df( + ( + ( + astuple( + kk, + tuple_factory=tuple_factory, + retain_collection_types=retain, + ) + if has(kk.__class__) + else kk + ), + ( + astuple( + vv, + tuple_factory=tuple_factory, + retain_collection_types=retain, + ) + if has(vv.__class__) + else vv + ), + ) + for kk, vv in v.items() + ) + ) + else: + rv.append(v) + else: + rv.append(v) + + return rv if tuple_factory is list else tuple_factory(rv) + + +def has(cls): + """ + Check whether *cls* is a class with *attrs* attributes. + + Args: + cls (type): Class to introspect. + + Raises: + TypeError: If *cls* is not a class. + + Returns: + bool: + """ + attrs = getattr(cls, "__attrs_attrs__", None) + if attrs is not None: + return True + + # No attrs, maybe it's a specialized generic (A[str])? + generic_base = get_generic_base(cls) + if generic_base is not None: + generic_attrs = getattr(generic_base, "__attrs_attrs__", None) + if generic_attrs is not None: + # Stick it on here for speed next time. + cls.__attrs_attrs__ = generic_attrs + return generic_attrs is not None + return False + + +def assoc(inst, **changes): + """ + Copy *inst* and apply *changes*. + + This is different from `evolve` that applies the changes to the arguments + that create the new instance. + + `evolve`'s behavior is preferable, but there are `edge cases`_ where it + doesn't work. Therefore `assoc` is deprecated, but will not be removed. + + .. _`edge cases`: https://github.com/python-attrs/attrs/issues/251 + + Args: + inst: Instance of a class with *attrs* attributes. + + changes: Keyword changes in the new copy. + + Returns: + A copy of inst with *changes* incorporated. + + Raises: + attrs.exceptions.AttrsAttributeNotFoundError: + If *attr_name* couldn't be found on *cls*. + + attrs.exceptions.NotAnAttrsClassError: + If *cls* is not an *attrs* class. + + .. deprecated:: 17.1.0 + Use `attrs.evolve` instead if you can. This function will not be + removed du to the slightly different approach compared to + `attrs.evolve`, though. + """ + new = copy.copy(inst) + attrs = fields(inst.__class__) + for k, v in changes.items(): + a = getattr(attrs, k, NOTHING) + if a is NOTHING: + msg = f"{k} is not an attrs attribute on {new.__class__}." + raise AttrsAttributeNotFoundError(msg) + _OBJ_SETATTR(new, k, v) + return new + + +def resolve_types( + cls, globalns=None, localns=None, attribs=None, include_extras=True +): + """ + Resolve any strings and forward annotations in type annotations. + + This is only required if you need concrete types in :class:`Attribute`'s + *type* field. In other words, you don't need to resolve your types if you + only use them for static type checking. + + With no arguments, names will be looked up in the module in which the class + was created. If this is not what you want, for example, if the name only + exists inside a method, you may pass *globalns* or *localns* to specify + other dictionaries in which to look up these names. See the docs of + `typing.get_type_hints` for more details. + + Args: + cls (type): Class to resolve. + + globalns (dict | None): Dictionary containing global variables. + + localns (dict | None): Dictionary containing local variables. + + attribs (list | None): + List of attribs for the given class. This is necessary when calling + from inside a ``field_transformer`` since *cls* is not an *attrs* + class yet. + + include_extras (bool): + Resolve more accurately, if possible. Pass ``include_extras`` to + ``typing.get_hints``, if supported by the typing module. On + supported Python versions (3.9+), this resolves the types more + accurately. + + Raises: + TypeError: If *cls* is not a class. + + attrs.exceptions.NotAnAttrsClassError: + If *cls* is not an *attrs* class and you didn't pass any attribs. + + NameError: If types cannot be resolved because of missing variables. + + Returns: + *cls* so you can use this function also as a class decorator. Please + note that you have to apply it **after** `attrs.define`. That means the + decorator has to come in the line **before** `attrs.define`. + + .. versionadded:: 20.1.0 + .. versionadded:: 21.1.0 *attribs* + .. versionadded:: 23.1.0 *include_extras* + """ + # Since calling get_type_hints is expensive we cache whether we've + # done it already. + if getattr(cls, "__attrs_types_resolved__", None) != cls: + import typing + + kwargs = { + "globalns": globalns, + "localns": localns, + "include_extras": include_extras, + } + + hints = typing.get_type_hints(cls, **kwargs) + for field in fields(cls) if attribs is None else attribs: + if field.name in hints: + # Since fields have been frozen we must work around it. + _OBJ_SETATTR(field, "type", hints[field.name]) + # We store the class we resolved so that subclasses know they haven't + # been resolved. + cls.__attrs_types_resolved__ = cls + + # Return the class so you can use it as a decorator too. + return cls diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_make.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_make.py new file mode 100644 index 0000000000000000000000000000000000000000..d24d9ba98575c3c4beb3186ca0335d2175663c7f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_make.py @@ -0,0 +1,3362 @@ +# SPDX-License-Identifier: MIT + +from __future__ import annotations + +import abc +import contextlib +import copy +import enum +import inspect +import itertools +import linecache +import sys +import types +import unicodedata +import weakref + +from collections.abc import Callable, Mapping +from functools import cached_property +from typing import Any, NamedTuple, TypeVar + +# We need to import _compat itself in addition to the _compat members to avoid +# having the thread-local in the globals here. +from . import _compat, _config, setters +from ._compat import ( + PY_3_10_PLUS, + PY_3_11_PLUS, + PY_3_13_PLUS, + _AnnotationExtractor, + _get_annotations, + get_generic_base, +) +from .exceptions import ( + DefaultAlreadySetError, + FrozenInstanceError, + NotAnAttrsClassError, + UnannotatedAttributeError, +) + + +# This is used at least twice, so cache it here. +_OBJ_SETATTR = object.__setattr__ +_INIT_FACTORY_PAT = "__attr_factory_%s" +_CLASSVAR_PREFIXES = ( + "typing.ClassVar", + "t.ClassVar", + "ClassVar", + "typing_extensions.ClassVar", +) +# we don't use a double-underscore prefix because that triggers +# name mangling when trying to create a slot for the field +# (when slots=True) +_HASH_CACHE_FIELD = "_attrs_cached_hash" + +_EMPTY_METADATA_SINGLETON = types.MappingProxyType({}) + +# Unique object for unequivocal getattr() defaults. +_SENTINEL = object() + +_DEFAULT_ON_SETATTR = setters.pipe(setters.convert, setters.validate) + + +class _Nothing(enum.Enum): + """ + Sentinel to indicate the lack of a value when `None` is ambiguous. + + If extending attrs, you can use ``typing.Literal[NOTHING]`` to show + that a value may be ``NOTHING``. + + .. versionchanged:: 21.1.0 ``bool(NOTHING)`` is now False. + .. versionchanged:: 22.2.0 ``NOTHING`` is now an ``enum.Enum`` variant. + """ + + NOTHING = enum.auto() + + def __repr__(self): + return "NOTHING" + + def __bool__(self): + return False + + +NOTHING = _Nothing.NOTHING +""" +Sentinel to indicate the lack of a value when `None` is ambiguous. + +When using in 3rd party code, use `attrs.NothingType` for type annotations. +""" + + +class _CacheHashWrapper(int): + """ + An integer subclass that pickles / copies as None + + This is used for non-slots classes with ``cache_hash=True``, to avoid + serializing a potentially (even likely) invalid hash value. Since `None` + is the default value for uncalculated hashes, whenever this is copied, + the copy's value for the hash should automatically reset. + + See GH #613 for more details. + """ + + def __reduce__(self, _none_constructor=type(None), _args=()): # noqa: B008 + return _none_constructor, _args + + +def attrib( + default=NOTHING, + validator=None, + repr=True, + cmp=None, + hash=None, + init=True, + metadata=None, + type=None, + converter=None, + factory=None, + kw_only=None, + eq=None, + order=None, + on_setattr=None, + alias=None, +): + """ + Create a new field / attribute on a class. + + Identical to `attrs.field`, except it's not keyword-only. + + Consider using `attrs.field` in new code (``attr.ib`` will *never* go away, + though). + + .. warning:: + + Does **nothing** unless the class is also decorated with + `attr.s` (or similar)! + + + .. versionadded:: 15.2.0 *convert* + .. versionadded:: 16.3.0 *metadata* + .. versionchanged:: 17.1.0 *validator* can be a ``list`` now. + .. versionchanged:: 17.1.0 + *hash* is `None` and therefore mirrors *eq* by default. + .. versionadded:: 17.3.0 *type* + .. deprecated:: 17.4.0 *convert* + .. versionadded:: 17.4.0 + *converter* as a replacement for the deprecated *convert* to achieve + consistency with other noun-based arguments. + .. versionadded:: 18.1.0 + ``factory=f`` is syntactic sugar for ``default=attr.Factory(f)``. + .. versionadded:: 18.2.0 *kw_only* + .. versionchanged:: 19.2.0 *convert* keyword argument removed. + .. versionchanged:: 19.2.0 *repr* also accepts a custom callable. + .. deprecated:: 19.2.0 *cmp* Removal on or after 2021-06-01. + .. versionadded:: 19.2.0 *eq* and *order* + .. versionadded:: 20.1.0 *on_setattr* + .. versionchanged:: 20.3.0 *kw_only* backported to Python 2 + .. versionchanged:: 21.1.0 + *eq*, *order*, and *cmp* also accept a custom callable + .. versionchanged:: 21.1.0 *cmp* undeprecated + .. versionadded:: 22.2.0 *alias* + .. versionchanged:: 25.4.0 + *kw_only* can now be None, and its default is also changed from False to + None. + """ + eq, eq_key, order, order_key = _determine_attrib_eq_order( + cmp, eq, order, True + ) + + if hash is not None and hash is not True and hash is not False: + msg = "Invalid value for hash. Must be True, False, or None." + raise TypeError(msg) + + if factory is not None: + if default is not NOTHING: + msg = ( + "The `default` and `factory` arguments are mutually exclusive." + ) + raise ValueError(msg) + if not callable(factory): + msg = "The `factory` argument must be a callable." + raise ValueError(msg) + default = Factory(factory) + + if metadata is None: + metadata = {} + + # Apply syntactic sugar by auto-wrapping. + if isinstance(on_setattr, (list, tuple)): + on_setattr = setters.pipe(*on_setattr) + + if validator and isinstance(validator, (list, tuple)): + validator = and_(*validator) + + if converter and isinstance(converter, (list, tuple)): + converter = pipe(*converter) + + return _CountingAttr( + default=default, + validator=validator, + repr=repr, + cmp=None, + hash=hash, + init=init, + converter=converter, + metadata=metadata, + type=type, + kw_only=kw_only, + eq=eq, + eq_key=eq_key, + order=order, + order_key=order_key, + on_setattr=on_setattr, + alias=alias, + ) + + +def _compile_and_eval( + script: str, + globs: dict[str, Any] | None, + locs: Mapping[str, object] | None = None, + filename: str = "", +) -> None: + """ + Evaluate the script with the given global (globs) and local (locs) + variables. + """ + bytecode = compile(script, filename, "exec") + eval(bytecode, globs, locs) + + +def _linecache_and_compile( + script: str, + filename: str, + globs: dict[str, Any] | None, + locals: Mapping[str, object] | None = None, +) -> dict[str, Any]: + """ + Cache the script with _linecache_, compile it and return the _locals_. + """ + + locs = {} if locals is None else locals + + # In order of debuggers like PDB being able to step through the code, + # we add a fake linecache entry. + count = 1 + base_filename = filename + while True: + linecache_tuple = ( + len(script), + None, + script.splitlines(True), + filename, + ) + old_val = linecache.cache.setdefault(filename, linecache_tuple) + if old_val == linecache_tuple: + break + + filename = f"{base_filename[:-1]}-{count}>" + count += 1 + + _compile_and_eval(script, globs, locs, filename) + + return locs + + +def _make_attr_tuple_class(cls_name: str, attr_names: list[str]) -> type: + """ + Create a tuple subclass to hold `Attribute`s for an `attrs` class. + + The subclass is a bare tuple with properties for names. + + class MyClassAttributes(tuple): + __slots__ = () + x = property(itemgetter(0)) + """ + attr_class_name = f"{cls_name}Attributes" + body = {} + for i, attr_name in enumerate(attr_names): + + def getter(self, i=i): + return self[i] + + body[attr_name] = property(getter) + return type(attr_class_name, (tuple,), body) + + +# Tuple class for extracted attributes from a class definition. +# `base_attrs` is a subset of `attrs`. +class _Attributes(NamedTuple): + attrs: type + base_attrs: list[Attribute] + base_attrs_map: dict[str, type] + + +def _is_class_var(annot): + """ + Check whether *annot* is a typing.ClassVar. + + The string comparison hack is used to avoid evaluating all string + annotations which would put attrs-based classes at a performance + disadvantage compared to plain old classes. + """ + annot = str(annot) + + # Annotation can be quoted. + if annot.startswith(("'", '"')) and annot.endswith(("'", '"')): + annot = annot[1:-1] + + return annot.startswith(_CLASSVAR_PREFIXES) + + +def _has_own_attribute(cls, attrib_name): + """ + Check whether *cls* defines *attrib_name* (and doesn't just inherit it). + """ + return attrib_name in cls.__dict__ + + +def _collect_base_attrs( + cls, taken_attr_names +) -> tuple[list[Attribute], dict[str, type]]: + """ + Collect attr.ibs from base classes of *cls*, except *taken_attr_names*. + """ + base_attrs = [] + base_attr_map = {} # A dictionary of base attrs to their classes. + + # Traverse the MRO and collect attributes. + for base_cls in reversed(cls.__mro__[1:-1]): + for a in getattr(base_cls, "__attrs_attrs__", []): + if a.inherited or a.name in taken_attr_names: + continue + + a = a.evolve(inherited=True) # noqa: PLW2901 + base_attrs.append(a) + base_attr_map[a.name] = base_cls + + # For each name, only keep the freshest definition i.e. the furthest at the + # back. base_attr_map is fine because it gets overwritten with every new + # instance. + filtered = [] + seen = set() + for a in reversed(base_attrs): + if a.name in seen: + continue + filtered.insert(0, a) + seen.add(a.name) + + return filtered, base_attr_map + + +def _collect_base_attrs_broken(cls, taken_attr_names): + """ + Collect attr.ibs from base classes of *cls*, except *taken_attr_names*. + + N.B. *taken_attr_names* will be mutated. + + Adhere to the old incorrect behavior. + + Notably it collects from the front and considers inherited attributes which + leads to the buggy behavior reported in #428. + """ + base_attrs = [] + base_attr_map = {} # A dictionary of base attrs to their classes. + + # Traverse the MRO and collect attributes. + for base_cls in cls.__mro__[1:-1]: + for a in getattr(base_cls, "__attrs_attrs__", []): + if a.name in taken_attr_names: + continue + + a = a.evolve(inherited=True) # noqa: PLW2901 + taken_attr_names.add(a.name) + base_attrs.append(a) + base_attr_map[a.name] = base_cls + + return base_attrs, base_attr_map + + +def _transform_attrs( + cls, + these, + auto_attribs, + kw_only, + collect_by_mro, + field_transformer, +) -> _Attributes: + """ + Transform all `_CountingAttr`s on a class into `Attribute`s. + + If *these* is passed, use that and don't look for them on the class. + + If *collect_by_mro* is True, collect them in the correct MRO order, + otherwise use the old -- incorrect -- order. See #428. + + Return an `_Attributes`. + """ + cd = cls.__dict__ + anns = _get_annotations(cls) + + if these is not None: + ca_list = list(these.items()) + elif auto_attribs is True: + ca_names = { + name + for name, attr in cd.items() + if attr.__class__ is _CountingAttr + } + ca_list = [] + annot_names = set() + for attr_name, type in anns.items(): + if _is_class_var(type): + continue + annot_names.add(attr_name) + a = cd.get(attr_name, NOTHING) + + if a.__class__ is not _CountingAttr: + a = attrib(a) + ca_list.append((attr_name, a)) + + unannotated = ca_names - annot_names + if unannotated: + raise UnannotatedAttributeError( + "The following `attr.ib`s lack a type annotation: " + + ", ".join( + sorted(unannotated, key=lambda n: cd.get(n).counter) + ) + + "." + ) + else: + ca_list = sorted( + ( + (name, attr) + for name, attr in cd.items() + if attr.__class__ is _CountingAttr + ), + key=lambda e: e[1].counter, + ) + + fca = Attribute.from_counting_attr + no = ClassProps.KeywordOnly.NO + own_attrs = [ + fca( + attr_name, + ca, + kw_only is not no, + anns.get(attr_name), + ) + for attr_name, ca in ca_list + ] + + if collect_by_mro: + base_attrs, base_attr_map = _collect_base_attrs( + cls, {a.name for a in own_attrs} + ) + else: + base_attrs, base_attr_map = _collect_base_attrs_broken( + cls, {a.name for a in own_attrs} + ) + + if kw_only is ClassProps.KeywordOnly.FORCE: + own_attrs = [a.evolve(kw_only=True) for a in own_attrs] + base_attrs = [a.evolve(kw_only=True) for a in base_attrs] + + attrs = base_attrs + own_attrs + + if field_transformer is not None: + attrs = tuple(field_transformer(cls, attrs)) + + # Check attr order after executing the field_transformer. + # Mandatory vs non-mandatory attr order only matters when they are part of + # the __init__ signature and when they aren't kw_only (which are moved to + # the end and can be mandatory or non-mandatory in any order, as they will + # be specified as keyword args anyway). Check the order of those attrs: + had_default = False + for a in (a for a in attrs if a.init is not False and a.kw_only is False): + if had_default is True and a.default is NOTHING: + msg = f"No mandatory attributes allowed after an attribute with a default value or factory. Attribute in question: {a!r}" + raise ValueError(msg) + + if had_default is False and a.default is not NOTHING: + had_default = True + + # Resolve default field alias after executing field_transformer. + # This allows field_transformer to differentiate between explicit vs + # default aliases and supply their own defaults. + for a in attrs: + if not a.alias: + # Evolve is very slow, so we hold our nose and do it dirty. + _OBJ_SETATTR.__get__(a)("alias", _default_init_alias_for(a.name)) + + # Create AttrsClass *after* applying the field_transformer since it may + # add or remove attributes! + attr_names = [a.name for a in attrs] + AttrsClass = _make_attr_tuple_class(cls.__name__, attr_names) + + return _Attributes(AttrsClass(attrs), base_attrs, base_attr_map) + + +def _make_cached_property_getattr(cached_properties, original_getattr, cls): + lines = [ + # Wrapped to get `__class__` into closure cell for super() + # (It will be replaced with the newly constructed class after construction). + "def wrapper(_cls):", + " __class__ = _cls", + " def __getattr__(self, item, cached_properties=cached_properties, original_getattr=original_getattr, _cached_setattr_get=_cached_setattr_get):", + " func = cached_properties.get(item)", + " if func is not None:", + " result = func(self)", + " _setter = _cached_setattr_get(self)", + " _setter(item, result)", + " return result", + ] + if original_getattr is not None: + lines.append( + " return original_getattr(self, item)", + ) + else: + lines.extend( + [ + " try:", + " return super().__getattribute__(item)", + " except AttributeError:", + " if not hasattr(super(), '__getattr__'):", + " raise", + " return super().__getattr__(item)", + " original_error = f\"'{self.__class__.__name__}' object has no attribute '{item}'\"", + " raise AttributeError(original_error)", + ] + ) + + lines.extend( + [ + " return __getattr__", + "__getattr__ = wrapper(_cls)", + ] + ) + + unique_filename = _generate_unique_filename(cls, "getattr") + + glob = { + "cached_properties": cached_properties, + "_cached_setattr_get": _OBJ_SETATTR.__get__, + "original_getattr": original_getattr, + } + + return _linecache_and_compile( + "\n".join(lines), unique_filename, glob, locals={"_cls": cls} + )["__getattr__"] + + +def _frozen_setattrs(self, name, value): + """ + Attached to frozen classes as __setattr__. + """ + if isinstance(self, BaseException) and name in ( + "__cause__", + "__context__", + "__traceback__", + "__suppress_context__", + "__notes__", + ): + BaseException.__setattr__(self, name, value) + return + + raise FrozenInstanceError + + +def _frozen_delattrs(self, name): + """ + Attached to frozen classes as __delattr__. + """ + if isinstance(self, BaseException) and name in ("__notes__",): + BaseException.__delattr__(self, name) + return + + raise FrozenInstanceError + + +def evolve(*args, **changes): + """ + Create a new instance, based on the first positional argument with + *changes* applied. + + .. tip:: + + On Python 3.13 and later, you can also use `copy.replace` instead. + + Args: + + inst: + Instance of a class with *attrs* attributes. *inst* must be passed + as a positional argument. + + changes: + Keyword changes in the new copy. + + Returns: + A copy of inst with *changes* incorporated. + + Raises: + TypeError: + If *attr_name* couldn't be found in the class ``__init__``. + + attrs.exceptions.NotAnAttrsClassError: + If *cls* is not an *attrs* class. + + .. versionadded:: 17.1.0 + .. deprecated:: 23.1.0 + It is now deprecated to pass the instance using the keyword argument + *inst*. It will raise a warning until at least April 2024, after which + it will become an error. Always pass the instance as a positional + argument. + .. versionchanged:: 24.1.0 + *inst* can't be passed as a keyword argument anymore. + """ + try: + (inst,) = args + except ValueError: + msg = ( + f"evolve() takes 1 positional argument, but {len(args)} were given" + ) + raise TypeError(msg) from None + + cls = inst.__class__ + attrs = fields(cls) + for a in attrs: + if not a.init: + continue + attr_name = a.name # To deal with private attributes. + init_name = a.alias + if init_name not in changes: + changes[init_name] = getattr(inst, attr_name) + + return cls(**changes) + + +class _ClassBuilder: + """ + Iteratively build *one* class. + """ + + __slots__ = ( + "_add_method_dunders", + "_attr_names", + "_attrs", + "_base_attr_map", + "_base_names", + "_cache_hash", + "_cls", + "_cls_dict", + "_delete_attribs", + "_frozen", + "_has_custom_setattr", + "_has_post_init", + "_has_pre_init", + "_is_exc", + "_on_setattr", + "_pre_init_has_args", + "_repr_added", + "_script_snippets", + "_slots", + "_weakref_slot", + "_wrote_own_setattr", + ) + + def __init__( + self, + cls: type, + these, + auto_attribs: bool, + props: ClassProps, + has_custom_setattr: bool, + ): + attrs, base_attrs, base_map = _transform_attrs( + cls, + these, + auto_attribs, + props.kw_only, + props.collected_fields_by_mro, + props.field_transformer, + ) + + self._cls = cls + self._cls_dict = dict(cls.__dict__) if props.is_slotted else {} + self._attrs = attrs + self._base_names = {a.name for a in base_attrs} + self._base_attr_map = base_map + self._attr_names = tuple(a.name for a in attrs) + self._slots = props.is_slotted + self._frozen = props.is_frozen + self._weakref_slot = props.has_weakref_slot + self._cache_hash = ( + props.hashability is ClassProps.Hashability.HASHABLE_CACHED + ) + self._has_pre_init = bool(getattr(cls, "__attrs_pre_init__", False)) + self._pre_init_has_args = False + if self._has_pre_init: + # Check if the pre init method has more arguments than just `self` + # We want to pass arguments if pre init expects arguments + pre_init_func = cls.__attrs_pre_init__ + pre_init_signature = inspect.signature(pre_init_func) + self._pre_init_has_args = len(pre_init_signature.parameters) > 1 + self._has_post_init = bool(getattr(cls, "__attrs_post_init__", False)) + self._delete_attribs = not bool(these) + self._is_exc = props.is_exception + self._on_setattr = props.on_setattr_hook + + self._has_custom_setattr = has_custom_setattr + self._wrote_own_setattr = False + + self._cls_dict["__attrs_attrs__"] = self._attrs + self._cls_dict["__attrs_props__"] = props + + if props.is_frozen: + self._cls_dict["__setattr__"] = _frozen_setattrs + self._cls_dict["__delattr__"] = _frozen_delattrs + + self._wrote_own_setattr = True + elif self._on_setattr in ( + _DEFAULT_ON_SETATTR, + setters.validate, + setters.convert, + ): + has_validator = has_converter = False + for a in attrs: + if a.validator is not None: + has_validator = True + if a.converter is not None: + has_converter = True + + if has_validator and has_converter: + break + if ( + ( + self._on_setattr == _DEFAULT_ON_SETATTR + and not (has_validator or has_converter) + ) + or (self._on_setattr == setters.validate and not has_validator) + or (self._on_setattr == setters.convert and not has_converter) + ): + # If class-level on_setattr is set to convert + validate, but + # there's no field to convert or validate, pretend like there's + # no on_setattr. + self._on_setattr = None + + if props.added_pickling: + ( + self._cls_dict["__getstate__"], + self._cls_dict["__setstate__"], + ) = self._make_getstate_setstate() + + # tuples of script, globs, hook + self._script_snippets: list[ + tuple[str, dict, Callable[[dict, dict], Any]] + ] = [] + self._repr_added = False + + # We want to only do this check once; in 99.9% of cases these + # exist. + if not hasattr(self._cls, "__module__") or not hasattr( + self._cls, "__qualname__" + ): + self._add_method_dunders = self._add_method_dunders_safe + else: + self._add_method_dunders = self._add_method_dunders_unsafe + + def __repr__(self): + return f"<_ClassBuilder(cls={self._cls.__name__})>" + + def _eval_snippets(self) -> None: + """ + Evaluate any registered snippets in one go. + """ + script = "\n".join([snippet[0] for snippet in self._script_snippets]) + globs = {} + for _, snippet_globs, _ in self._script_snippets: + globs.update(snippet_globs) + + locs = _linecache_and_compile( + script, + _generate_unique_filename(self._cls, "methods"), + globs, + ) + + for _, _, hook in self._script_snippets: + hook(self._cls_dict, locs) + + def build_class(self): + """ + Finalize class based on the accumulated configuration. + + Builder cannot be used after calling this method. + """ + self._eval_snippets() + if self._slots is True: + cls = self._create_slots_class() + self._cls.__attrs_base_of_slotted__ = weakref.ref(cls) + else: + cls = self._patch_original_class() + if PY_3_10_PLUS: + cls = abc.update_abstractmethods(cls) + + # The method gets only called if it's not inherited from a base class. + # _has_own_attribute does NOT work properly for classmethods. + if ( + getattr(cls, "__attrs_init_subclass__", None) + and "__attrs_init_subclass__" not in cls.__dict__ + ): + cls.__attrs_init_subclass__() + + return cls + + def _patch_original_class(self): + """ + Apply accumulated methods and return the class. + """ + cls = self._cls + base_names = self._base_names + + # Clean class of attribute definitions (`attr.ib()`s). + if self._delete_attribs: + for name in self._attr_names: + if ( + name not in base_names + and getattr(cls, name, _SENTINEL) is not _SENTINEL + ): + # An AttributeError can happen if a base class defines a + # class variable and we want to set an attribute with the + # same name by using only a type annotation. + with contextlib.suppress(AttributeError): + delattr(cls, name) + + # Attach our dunder methods. + for name, value in self._cls_dict.items(): + setattr(cls, name, value) + + # If we've inherited an attrs __setattr__ and don't write our own, + # reset it to object's. + if not self._wrote_own_setattr and getattr( + cls, "__attrs_own_setattr__", False + ): + cls.__attrs_own_setattr__ = False + + if not self._has_custom_setattr: + cls.__setattr__ = _OBJ_SETATTR + + return cls + + def _create_slots_class(self): + """ + Build and return a new class with a `__slots__` attribute. + """ + cd = { + k: v + for k, v in self._cls_dict.items() + if k not in (*tuple(self._attr_names), "__dict__", "__weakref__") + } + + # 3.14.0rc2+ + if hasattr(sys, "_clear_type_descriptors"): + sys._clear_type_descriptors(self._cls) + + # If our class doesn't have its own implementation of __setattr__ + # (either from the user or by us), check the bases, if one of them has + # an attrs-made __setattr__, that needs to be reset. We don't walk the + # MRO because we only care about our immediate base classes. + # XXX: This can be confused by subclassing a slotted attrs class with + # XXX: a non-attrs class and subclass the resulting class with an attrs + # XXX: class. See `test_slotted_confused` for details. For now that's + # XXX: OK with us. + if not self._wrote_own_setattr: + cd["__attrs_own_setattr__"] = False + + if not self._has_custom_setattr: + for base_cls in self._cls.__bases__: + if base_cls.__dict__.get("__attrs_own_setattr__", False): + cd["__setattr__"] = _OBJ_SETATTR + break + + # Traverse the MRO to collect existing slots + # and check for an existing __weakref__. + existing_slots = {} + weakref_inherited = False + for base_cls in self._cls.__mro__[1:-1]: + if base_cls.__dict__.get("__weakref__", None) is not None: + weakref_inherited = True + existing_slots.update( + { + name: getattr(base_cls, name) + for name in getattr(base_cls, "__slots__", []) + } + ) + + base_names = set(self._base_names) + + names = self._attr_names + if ( + self._weakref_slot + and "__weakref__" not in getattr(self._cls, "__slots__", ()) + and "__weakref__" not in names + and not weakref_inherited + ): + names += ("__weakref__",) + + cached_properties = { + name: cached_prop.func + for name, cached_prop in cd.items() + if isinstance(cached_prop, cached_property) + } + + # Collect methods with a `__class__` reference that are shadowed in the new class. + # To know to update them. + additional_closure_functions_to_update = [] + if cached_properties: + class_annotations = _get_annotations(self._cls) + for name, func in cached_properties.items(): + # Add cached properties to names for slotting. + names += (name,) + # Clear out function from class to avoid clashing. + del cd[name] + additional_closure_functions_to_update.append(func) + annotation = inspect.signature(func).return_annotation + if annotation is not inspect.Parameter.empty: + class_annotations[name] = annotation + + original_getattr = cd.get("__getattr__") + if original_getattr is not None: + additional_closure_functions_to_update.append(original_getattr) + + cd["__getattr__"] = _make_cached_property_getattr( + cached_properties, original_getattr, self._cls + ) + + # We only add the names of attributes that aren't inherited. + # Setting __slots__ to inherited attributes wastes memory. + slot_names = [name for name in names if name not in base_names] + + # There are slots for attributes from current class + # that are defined in parent classes. + # As their descriptors may be overridden by a child class, + # we collect them here and update the class dict + reused_slots = { + slot: slot_descriptor + for slot, slot_descriptor in existing_slots.items() + if slot in slot_names + } + slot_names = [name for name in slot_names if name not in reused_slots] + cd.update(reused_slots) + if self._cache_hash: + slot_names.append(_HASH_CACHE_FIELD) + + cd["__slots__"] = tuple(slot_names) + + cd["__qualname__"] = self._cls.__qualname__ + + # Create new class based on old class and our methods. + cls = type(self._cls)(self._cls.__name__, self._cls.__bases__, cd) + + # The following is a fix for + # . + # If a method mentions `__class__` or uses the no-arg super(), the + # compiler will bake a reference to the class in the method itself + # as `method.__closure__`. Since we replace the class with a + # clone, we rewrite these references so it keeps working. + for item in itertools.chain( + cls.__dict__.values(), additional_closure_functions_to_update + ): + if isinstance(item, (classmethod, staticmethod)): + # Class- and staticmethods hide their functions inside. + # These might need to be rewritten as well. + closure_cells = getattr(item.__func__, "__closure__", None) + elif isinstance(item, property): + # Workaround for property `super()` shortcut (PY3-only). + # There is no universal way for other descriptors. + closure_cells = getattr(item.fget, "__closure__", None) + else: + closure_cells = getattr(item, "__closure__", None) + + if not closure_cells: # Catch None or the empty list. + continue + for cell in closure_cells: + try: + match = cell.cell_contents is self._cls + except ValueError: # noqa: PERF203 + # ValueError: Cell is empty + pass + else: + if match: + cell.cell_contents = cls + return cls + + def add_repr(self, ns): + script, globs = _make_repr_script(self._attrs, ns) + + def _attach_repr(cls_dict, globs): + cls_dict["__repr__"] = self._add_method_dunders(globs["__repr__"]) + + self._script_snippets.append((script, globs, _attach_repr)) + self._repr_added = True + return self + + def add_str(self): + if not self._repr_added: + msg = "__str__ can only be generated if a __repr__ exists." + raise ValueError(msg) + + def __str__(self): + return self.__repr__() + + self._cls_dict["__str__"] = self._add_method_dunders(__str__) + return self + + def _make_getstate_setstate(self): + """ + Create custom __setstate__ and __getstate__ methods. + """ + # __weakref__ is not writable. + state_attr_names = tuple( + an for an in self._attr_names if an != "__weakref__" + ) + + def slots_getstate(self): + """ + Automatically created by attrs. + """ + return {name: getattr(self, name) for name in state_attr_names} + + hash_caching_enabled = self._cache_hash + + def slots_setstate(self, state): + """ + Automatically created by attrs. + """ + __bound_setattr = _OBJ_SETATTR.__get__(self) + if isinstance(state, tuple): + # Backward compatibility with attrs instances pickled with + # attrs versions before v22.2.0 which stored tuples. + for name, value in zip(state_attr_names, state): + __bound_setattr(name, value) + else: + for name in state_attr_names: + if name in state: + __bound_setattr(name, state[name]) + + # The hash code cache is not included when the object is + # serialized, but it still needs to be initialized to None to + # indicate that the first call to __hash__ should be a cache + # miss. + if hash_caching_enabled: + __bound_setattr(_HASH_CACHE_FIELD, None) + + return slots_getstate, slots_setstate + + def make_unhashable(self): + self._cls_dict["__hash__"] = None + return self + + def add_hash(self): + script, globs = _make_hash_script( + self._cls, + self._attrs, + frozen=self._frozen, + cache_hash=self._cache_hash, + ) + + def attach_hash(cls_dict: dict, locs: dict) -> None: + cls_dict["__hash__"] = self._add_method_dunders(locs["__hash__"]) + + self._script_snippets.append((script, globs, attach_hash)) + + return self + + def add_init(self): + script, globs, annotations = _make_init_script( + self._cls, + self._attrs, + self._has_pre_init, + self._pre_init_has_args, + self._has_post_init, + self._frozen, + self._slots, + self._cache_hash, + self._base_attr_map, + self._is_exc, + self._on_setattr, + attrs_init=False, + ) + + def _attach_init(cls_dict, globs): + init = globs["__init__"] + init.__annotations__ = annotations + cls_dict["__init__"] = self._add_method_dunders(init) + + self._script_snippets.append((script, globs, _attach_init)) + + return self + + def add_replace(self): + self._cls_dict["__replace__"] = self._add_method_dunders( + lambda self, **changes: evolve(self, **changes) + ) + return self + + def add_match_args(self): + self._cls_dict["__match_args__"] = tuple( + field.name + for field in self._attrs + if field.init and not field.kw_only + ) + + def add_attrs_init(self): + script, globs, annotations = _make_init_script( + self._cls, + self._attrs, + self._has_pre_init, + self._pre_init_has_args, + self._has_post_init, + self._frozen, + self._slots, + self._cache_hash, + self._base_attr_map, + self._is_exc, + self._on_setattr, + attrs_init=True, + ) + + def _attach_attrs_init(cls_dict, globs): + init = globs["__attrs_init__"] + init.__annotations__ = annotations + cls_dict["__attrs_init__"] = self._add_method_dunders(init) + + self._script_snippets.append((script, globs, _attach_attrs_init)) + + return self + + def add_eq(self): + cd = self._cls_dict + + script, globs = _make_eq_script(self._attrs) + + def _attach_eq(cls_dict, globs): + cls_dict["__eq__"] = self._add_method_dunders(globs["__eq__"]) + + self._script_snippets.append((script, globs, _attach_eq)) + + cd["__ne__"] = __ne__ + + return self + + def add_order(self): + cd = self._cls_dict + + cd["__lt__"], cd["__le__"], cd["__gt__"], cd["__ge__"] = ( + self._add_method_dunders(meth) + for meth in _make_order(self._cls, self._attrs) + ) + + return self + + def add_setattr(self): + sa_attrs = {} + for a in self._attrs: + on_setattr = a.on_setattr or self._on_setattr + if on_setattr and on_setattr is not setters.NO_OP: + sa_attrs[a.name] = a, on_setattr + + if not sa_attrs: + return self + + if self._has_custom_setattr: + # We need to write a __setattr__ but there already is one! + msg = "Can't combine custom __setattr__ with on_setattr hooks." + raise ValueError(msg) + + # docstring comes from _add_method_dunders + def __setattr__(self, name, val): + try: + a, hook = sa_attrs[name] + except KeyError: + nval = val + else: + nval = hook(self, a, val) + + _OBJ_SETATTR(self, name, nval) + + self._cls_dict["__attrs_own_setattr__"] = True + self._cls_dict["__setattr__"] = self._add_method_dunders(__setattr__) + self._wrote_own_setattr = True + + return self + + def _add_method_dunders_unsafe(self, method: Callable) -> Callable: + """ + Add __module__ and __qualname__ to a *method*. + """ + method.__module__ = self._cls.__module__ + + method.__qualname__ = f"{self._cls.__qualname__}.{method.__name__}" + + method.__doc__ = ( + f"Method generated by attrs for class {self._cls.__qualname__}." + ) + + return method + + def _add_method_dunders_safe(self, method: Callable) -> Callable: + """ + Add __module__ and __qualname__ to a *method* if possible. + """ + with contextlib.suppress(AttributeError): + method.__module__ = self._cls.__module__ + + with contextlib.suppress(AttributeError): + method.__qualname__ = f"{self._cls.__qualname__}.{method.__name__}" + + with contextlib.suppress(AttributeError): + method.__doc__ = f"Method generated by attrs for class {self._cls.__qualname__}." + + return method + + +def _determine_attrs_eq_order(cmp, eq, order, default_eq): + """ + Validate the combination of *cmp*, *eq*, and *order*. Derive the effective + values of eq and order. If *eq* is None, set it to *default_eq*. + """ + if cmp is not None and any((eq is not None, order is not None)): + msg = "Don't mix `cmp` with `eq' and `order`." + raise ValueError(msg) + + # cmp takes precedence due to bw-compatibility. + if cmp is not None: + return cmp, cmp + + # If left None, equality is set to the specified default and ordering + # mirrors equality. + if eq is None: + eq = default_eq + + if order is None: + order = eq + + if eq is False and order is True: + msg = "`order` can only be True if `eq` is True too." + raise ValueError(msg) + + return eq, order + + +def _determine_attrib_eq_order(cmp, eq, order, default_eq): + """ + Validate the combination of *cmp*, *eq*, and *order*. Derive the effective + values of eq and order. If *eq* is None, set it to *default_eq*. + """ + if cmp is not None and any((eq is not None, order is not None)): + msg = "Don't mix `cmp` with `eq' and `order`." + raise ValueError(msg) + + def decide_callable_or_boolean(value): + """ + Decide whether a key function is used. + """ + if callable(value): + value, key = True, value + else: + key = None + return value, key + + # cmp takes precedence due to bw-compatibility. + if cmp is not None: + cmp, cmp_key = decide_callable_or_boolean(cmp) + return cmp, cmp_key, cmp, cmp_key + + # If left None, equality is set to the specified default and ordering + # mirrors equality. + if eq is None: + eq, eq_key = default_eq, None + else: + eq, eq_key = decide_callable_or_boolean(eq) + + if order is None: + order, order_key = eq, eq_key + else: + order, order_key = decide_callable_or_boolean(order) + + if eq is False and order is True: + msg = "`order` can only be True if `eq` is True too." + raise ValueError(msg) + + return eq, eq_key, order, order_key + + +def _determine_whether_to_implement( + cls, flag, auto_detect, dunders, default=True +): + """ + Check whether we should implement a set of methods for *cls*. + + *flag* is the argument passed into @attr.s like 'init', *auto_detect* the + same as passed into @attr.s and *dunders* is a tuple of attribute names + whose presence signal that the user has implemented it themselves. + + Return *default* if no reason for either for or against is found. + """ + if flag is True or flag is False: + return flag + + if flag is None and auto_detect is False: + return default + + # Logically, flag is None and auto_detect is True here. + for dunder in dunders: + if _has_own_attribute(cls, dunder): + return False + + return default + + +def attrs( + maybe_cls=None, + these=None, + repr_ns=None, + repr=None, + cmp=None, + hash=None, + init=None, + slots=False, + frozen=False, + weakref_slot=True, + str=False, + auto_attribs=False, + kw_only=False, + cache_hash=False, + auto_exc=False, + eq=None, + order=None, + auto_detect=False, + collect_by_mro=False, + getstate_setstate=None, + on_setattr=None, + field_transformer=None, + match_args=True, + unsafe_hash=None, + force_kw_only=True, +): + r""" + A class decorator that adds :term:`dunder methods` according to the + specified attributes using `attr.ib` or the *these* argument. + + Consider using `attrs.define` / `attrs.frozen` in new code (``attr.s`` will + *never* go away, though). + + Args: + repr_ns (str): + When using nested classes, there was no way in Python 2 to + automatically detect that. This argument allows to set a custom + name for a more meaningful ``repr`` output. This argument is + pointless in Python 3 and is therefore deprecated. + + .. caution:: + Refer to `attrs.define` for the rest of the parameters, but note that they + can have different defaults. + + Notably, leaving *on_setattr* as `None` will **not** add any hooks. + + .. versionadded:: 16.0.0 *slots* + .. versionadded:: 16.1.0 *frozen* + .. versionadded:: 16.3.0 *str* + .. versionadded:: 16.3.0 Support for ``__attrs_post_init__``. + .. versionchanged:: 17.1.0 + *hash* supports `None` as value which is also the default now. + .. versionadded:: 17.3.0 *auto_attribs* + .. versionchanged:: 18.1.0 + If *these* is passed, no attributes are deleted from the class body. + .. versionchanged:: 18.1.0 If *these* is ordered, the order is retained. + .. versionadded:: 18.2.0 *weakref_slot* + .. deprecated:: 18.2.0 + ``__lt__``, ``__le__``, ``__gt__``, and ``__ge__`` now raise a + `DeprecationWarning` if the classes compared are subclasses of + each other. ``__eq`` and ``__ne__`` never tried to compared subclasses + to each other. + .. versionchanged:: 19.2.0 + ``__lt__``, ``__le__``, ``__gt__``, and ``__ge__`` now do not consider + subclasses comparable anymore. + .. versionadded:: 18.2.0 *kw_only* + .. versionadded:: 18.2.0 *cache_hash* + .. versionadded:: 19.1.0 *auto_exc* + .. deprecated:: 19.2.0 *cmp* Removal on or after 2021-06-01. + .. versionadded:: 19.2.0 *eq* and *order* + .. versionadded:: 20.1.0 *auto_detect* + .. versionadded:: 20.1.0 *collect_by_mro* + .. versionadded:: 20.1.0 *getstate_setstate* + .. versionadded:: 20.1.0 *on_setattr* + .. versionadded:: 20.3.0 *field_transformer* + .. versionchanged:: 21.1.0 + ``init=False`` injects ``__attrs_init__`` + .. versionchanged:: 21.1.0 Support for ``__attrs_pre_init__`` + .. versionchanged:: 21.1.0 *cmp* undeprecated + .. versionadded:: 21.3.0 *match_args* + .. versionadded:: 22.2.0 + *unsafe_hash* as an alias for *hash* (for :pep:`681` compliance). + .. deprecated:: 24.1.0 *repr_ns* + .. versionchanged:: 24.1.0 + Instances are not compared as tuples of attributes anymore, but using a + big ``and`` condition. This is faster and has more correct behavior for + uncomparable values like `math.nan`. + .. versionadded:: 24.1.0 + If a class has an *inherited* classmethod called + ``__attrs_init_subclass__``, it is executed after the class is created. + .. deprecated:: 24.1.0 *hash* is deprecated in favor of *unsafe_hash*. + .. versionchanged:: 25.4.0 + *kw_only* now only applies to attributes defined in the current class, + and respects attribute-level ``kw_only=False`` settings. + .. versionadded:: 25.4.0 *force_kw_only* + """ + if repr_ns is not None: + import warnings + + warnings.warn( + DeprecationWarning( + "The `repr_ns` argument is deprecated and will be removed in or after August 2025." + ), + stacklevel=2, + ) + + eq_, order_ = _determine_attrs_eq_order(cmp, eq, order, None) + + # unsafe_hash takes precedence due to PEP 681. + if unsafe_hash is not None: + hash = unsafe_hash + + if isinstance(on_setattr, (list, tuple)): + on_setattr = setters.pipe(*on_setattr) + + def wrap(cls): + nonlocal hash + is_frozen = frozen or _has_frozen_base_class(cls) + is_exc = auto_exc is True and issubclass(cls, BaseException) + has_own_setattr = auto_detect and _has_own_attribute( + cls, "__setattr__" + ) + + if has_own_setattr and is_frozen: + msg = "Can't freeze a class with a custom __setattr__." + raise ValueError(msg) + + eq = not is_exc and _determine_whether_to_implement( + cls, eq_, auto_detect, ("__eq__", "__ne__") + ) + + Hashability = ClassProps.Hashability + + if is_exc: + hashability = Hashability.LEAVE_ALONE + elif hash is True: + hashability = ( + Hashability.HASHABLE_CACHED + if cache_hash + else Hashability.HASHABLE + ) + elif hash is False: + hashability = Hashability.LEAVE_ALONE + elif hash is None: + if auto_detect is True and _has_own_attribute(cls, "__hash__"): + hashability = Hashability.LEAVE_ALONE + elif eq is True and is_frozen is True: + hashability = ( + Hashability.HASHABLE_CACHED + if cache_hash + else Hashability.HASHABLE + ) + elif eq is False: + hashability = Hashability.LEAVE_ALONE + else: + hashability = Hashability.UNHASHABLE + else: + msg = "Invalid value for hash. Must be True, False, or None." + raise TypeError(msg) + + KeywordOnly = ClassProps.KeywordOnly + if kw_only: + kwo = KeywordOnly.FORCE if force_kw_only else KeywordOnly.YES + else: + kwo = KeywordOnly.NO + + props = ClassProps( + is_exception=is_exc, + is_frozen=is_frozen, + is_slotted=slots, + collected_fields_by_mro=collect_by_mro, + added_init=_determine_whether_to_implement( + cls, init, auto_detect, ("__init__",) + ), + added_repr=_determine_whether_to_implement( + cls, repr, auto_detect, ("__repr__",) + ), + added_eq=eq, + added_ordering=not is_exc + and _determine_whether_to_implement( + cls, + order_, + auto_detect, + ("__lt__", "__le__", "__gt__", "__ge__"), + ), + hashability=hashability, + added_match_args=match_args, + kw_only=kwo, + has_weakref_slot=weakref_slot, + added_str=str, + added_pickling=_determine_whether_to_implement( + cls, + getstate_setstate, + auto_detect, + ("__getstate__", "__setstate__"), + default=slots, + ), + on_setattr_hook=on_setattr, + field_transformer=field_transformer, + ) + + if not props.is_hashable and cache_hash: + msg = "Invalid value for cache_hash. To use hash caching, hashing must be either explicitly or implicitly enabled." + raise TypeError(msg) + + builder = _ClassBuilder( + cls, + these, + auto_attribs=auto_attribs, + props=props, + has_custom_setattr=has_own_setattr, + ) + + if props.added_repr: + builder.add_repr(repr_ns) + + if props.added_str: + builder.add_str() + + if props.added_eq: + builder.add_eq() + if props.added_ordering: + builder.add_order() + + if not frozen: + builder.add_setattr() + + if props.is_hashable: + builder.add_hash() + elif props.hashability is Hashability.UNHASHABLE: + builder.make_unhashable() + + if props.added_init: + builder.add_init() + else: + builder.add_attrs_init() + if cache_hash: + msg = "Invalid value for cache_hash. To use hash caching, init must be True." + raise TypeError(msg) + + if PY_3_13_PLUS and not _has_own_attribute(cls, "__replace__"): + builder.add_replace() + + if ( + PY_3_10_PLUS + and match_args + and not _has_own_attribute(cls, "__match_args__") + ): + builder.add_match_args() + + return builder.build_class() + + # maybe_cls's type depends on the usage of the decorator. It's a class + # if it's used as `@attrs` but `None` if used as `@attrs()`. + if maybe_cls is None: + return wrap + + return wrap(maybe_cls) + + +_attrs = attrs +""" +Internal alias so we can use it in functions that take an argument called +*attrs*. +""" + + +def _has_frozen_base_class(cls): + """ + Check whether *cls* has a frozen ancestor by looking at its + __setattr__. + """ + return cls.__setattr__ is _frozen_setattrs + + +def _generate_unique_filename(cls: type, func_name: str) -> str: + """ + Create a "filename" suitable for a function being generated. + """ + return ( + f"" + ) + + +def _make_hash_script( + cls: type, attrs: list[Attribute], frozen: bool, cache_hash: bool +) -> tuple[str, dict]: + attrs = tuple( + a for a in attrs if a.hash is True or (a.hash is None and a.eq is True) + ) + + tab = " " + + type_hash = hash(_generate_unique_filename(cls, "hash")) + # If eq is custom generated, we need to include the functions in globs + globs = {} + + hash_def = "def __hash__(self" + hash_func = "hash((" + closing_braces = "))" + if not cache_hash: + hash_def += "):" + else: + hash_def += ", *" + + hash_def += ", _cache_wrapper=__import__('attr._make')._make._CacheHashWrapper):" + hash_func = "_cache_wrapper(" + hash_func + closing_braces += ")" + + method_lines = [hash_def] + + def append_hash_computation_lines(prefix, indent): + """ + Generate the code for actually computing the hash code. + Below this will either be returned directly or used to compute + a value which is then cached, depending on the value of cache_hash + """ + + method_lines.extend( + [ + indent + prefix + hash_func, + indent + f" {type_hash},", + ] + ) + + for a in attrs: + if a.eq_key: + cmp_name = f"_{a.name}_key" + globs[cmp_name] = a.eq_key + method_lines.append( + indent + f" {cmp_name}(self.{a.name})," + ) + else: + method_lines.append(indent + f" self.{a.name},") + + method_lines.append(indent + " " + closing_braces) + + if cache_hash: + method_lines.append(tab + f"if self.{_HASH_CACHE_FIELD} is None:") + if frozen: + append_hash_computation_lines( + f"object.__setattr__(self, '{_HASH_CACHE_FIELD}', ", tab * 2 + ) + method_lines.append(tab * 2 + ")") # close __setattr__ + else: + append_hash_computation_lines( + f"self.{_HASH_CACHE_FIELD} = ", tab * 2 + ) + method_lines.append(tab + f"return self.{_HASH_CACHE_FIELD}") + else: + append_hash_computation_lines("return ", tab) + + script = "\n".join(method_lines) + return script, globs + + +def _add_hash(cls: type, attrs: list[Attribute]): + """ + Add a hash method to *cls*. + """ + script, globs = _make_hash_script( + cls, attrs, frozen=False, cache_hash=False + ) + _compile_and_eval( + script, globs, filename=_generate_unique_filename(cls, "__hash__") + ) + cls.__hash__ = globs["__hash__"] + return cls + + +def __ne__(self, other): + """ + Check equality and either forward a NotImplemented or + return the result negated. + """ + result = self.__eq__(other) + if result is NotImplemented: + return NotImplemented + + return not result + + +def _make_eq_script(attrs: list) -> tuple[str, dict]: + """ + Create __eq__ method for *cls* with *attrs*. + """ + attrs = [a for a in attrs if a.eq] + + lines = [ + "def __eq__(self, other):", + " if other.__class__ is not self.__class__:", + " return NotImplemented", + ] + + globs = {} + if attrs: + lines.append(" return (") + for a in attrs: + if a.eq_key: + cmp_name = f"_{a.name}_key" + # Add the key function to the global namespace + # of the evaluated function. + globs[cmp_name] = a.eq_key + lines.append( + f" {cmp_name}(self.{a.name}) == {cmp_name}(other.{a.name})" + ) + else: + lines.append(f" self.{a.name} == other.{a.name}") + if a is not attrs[-1]: + lines[-1] = f"{lines[-1]} and" + lines.append(" )") + else: + lines.append(" return True") + + script = "\n".join(lines) + + return script, globs + + +def _make_order(cls, attrs): + """ + Create ordering methods for *cls* with *attrs*. + """ + attrs = [a for a in attrs if a.order] + + def attrs_to_tuple(obj): + """ + Save us some typing. + """ + return tuple( + key(value) if key else value + for value, key in ( + (getattr(obj, a.name), a.order_key) for a in attrs + ) + ) + + def __lt__(self, other): + """ + Automatically created by attrs. + """ + if other.__class__ is self.__class__: + return attrs_to_tuple(self) < attrs_to_tuple(other) + + return NotImplemented + + def __le__(self, other): + """ + Automatically created by attrs. + """ + if other.__class__ is self.__class__: + return attrs_to_tuple(self) <= attrs_to_tuple(other) + + return NotImplemented + + def __gt__(self, other): + """ + Automatically created by attrs. + """ + if other.__class__ is self.__class__: + return attrs_to_tuple(self) > attrs_to_tuple(other) + + return NotImplemented + + def __ge__(self, other): + """ + Automatically created by attrs. + """ + if other.__class__ is self.__class__: + return attrs_to_tuple(self) >= attrs_to_tuple(other) + + return NotImplemented + + return __lt__, __le__, __gt__, __ge__ + + +def _add_eq(cls, attrs=None): + """ + Add equality methods to *cls* with *attrs*. + """ + if attrs is None: + attrs = cls.__attrs_attrs__ + + script, globs = _make_eq_script(attrs) + _compile_and_eval( + script, globs, filename=_generate_unique_filename(cls, "__eq__") + ) + cls.__eq__ = globs["__eq__"] + cls.__ne__ = __ne__ + + return cls + + +def _make_repr_script(attrs, ns) -> tuple[str, dict]: + """ + Create the source and globs for a __repr__ and return it. + """ + # Figure out which attributes to include, and which function to use to + # format them. The a.repr value can be either bool or a custom + # callable. + attr_names_with_reprs = tuple( + (a.name, (repr if a.repr is True else a.repr), a.init) + for a in attrs + if a.repr is not False + ) + globs = { + name + "_repr": r for name, r, _ in attr_names_with_reprs if r != repr + } + globs["_compat"] = _compat + globs["AttributeError"] = AttributeError + globs["NOTHING"] = NOTHING + attribute_fragments = [] + for name, r, i in attr_names_with_reprs: + accessor = ( + "self." + name if i else 'getattr(self, "' + name + '", NOTHING)' + ) + fragment = ( + "%s={%s!r}" % (name, accessor) + if r == repr + else "%s={%s_repr(%s)}" % (name, name, accessor) + ) + attribute_fragments.append(fragment) + repr_fragment = ", ".join(attribute_fragments) + + if ns is None: + cls_name_fragment = '{self.__class__.__qualname__.rsplit(">.", 1)[-1]}' + else: + cls_name_fragment = ns + ".{self.__class__.__name__}" + + lines = [ + "def __repr__(self):", + " try:", + " already_repring = _compat.repr_context.already_repring", + " except AttributeError:", + " already_repring = {id(self),}", + " _compat.repr_context.already_repring = already_repring", + " else:", + " if id(self) in already_repring:", + " return '...'", + " else:", + " already_repring.add(id(self))", + " try:", + f" return f'{cls_name_fragment}({repr_fragment})'", + " finally:", + " already_repring.remove(id(self))", + ] + + return "\n".join(lines), globs + + +def _add_repr(cls, ns=None, attrs=None): + """ + Add a repr method to *cls*. + """ + if attrs is None: + attrs = cls.__attrs_attrs__ + + script, globs = _make_repr_script(attrs, ns) + _compile_and_eval( + script, globs, filename=_generate_unique_filename(cls, "__repr__") + ) + cls.__repr__ = globs["__repr__"] + return cls + + +def fields(cls): + """ + Return the tuple of *attrs* attributes for a class. + + The tuple also allows accessing the fields by their names (see below for + examples). + + Args: + cls (type): Class to introspect. + + Raises: + TypeError: If *cls* is not a class. + + attrs.exceptions.NotAnAttrsClassError: + If *cls* is not an *attrs* class. + + Returns: + tuple (with name accessors) of `attrs.Attribute` + + .. versionchanged:: 16.2.0 Returned tuple allows accessing the fields + by name. + .. versionchanged:: 23.1.0 Add support for generic classes. + """ + generic_base = get_generic_base(cls) + + if generic_base is None and not isinstance(cls, type): + msg = "Passed object must be a class." + raise TypeError(msg) + + attrs = getattr(cls, "__attrs_attrs__", None) + + if attrs is None: + if generic_base is not None: + attrs = getattr(generic_base, "__attrs_attrs__", None) + if attrs is not None: + # Even though this is global state, stick it on here to speed + # it up. We rely on `cls` being cached for this to be + # efficient. + cls.__attrs_attrs__ = attrs + return attrs + msg = f"{cls!r} is not an attrs-decorated class." + raise NotAnAttrsClassError(msg) + + return attrs + + +def fields_dict(cls): + """ + Return an ordered dictionary of *attrs* attributes for a class, whose keys + are the attribute names. + + Args: + cls (type): Class to introspect. + + Raises: + TypeError: If *cls* is not a class. + + attrs.exceptions.NotAnAttrsClassError: + If *cls* is not an *attrs* class. + + Returns: + dict[str, attrs.Attribute]: Dict of attribute name to definition + + .. versionadded:: 18.1.0 + """ + if not isinstance(cls, type): + msg = "Passed object must be a class." + raise TypeError(msg) + attrs = getattr(cls, "__attrs_attrs__", None) + if attrs is None: + msg = f"{cls!r} is not an attrs-decorated class." + raise NotAnAttrsClassError(msg) + return {a.name: a for a in attrs} + + +def validate(inst): + """ + Validate all attributes on *inst* that have a validator. + + Leaves all exceptions through. + + Args: + inst: Instance of a class with *attrs* attributes. + """ + if _config._run_validators is False: + return + + for a in fields(inst.__class__): + v = a.validator + if v is not None: + v(inst, a, getattr(inst, a.name)) + + +def _is_slot_attr(a_name, base_attr_map): + """ + Check if the attribute name comes from a slot class. + """ + cls = base_attr_map.get(a_name) + return cls and "__slots__" in cls.__dict__ + + +def _make_init_script( + cls, + attrs, + pre_init, + pre_init_has_args, + post_init, + frozen, + slots, + cache_hash, + base_attr_map, + is_exc, + cls_on_setattr, + attrs_init, +) -> tuple[str, dict, dict]: + has_cls_on_setattr = ( + cls_on_setattr is not None and cls_on_setattr is not setters.NO_OP + ) + + if frozen and has_cls_on_setattr: + msg = "Frozen classes can't use on_setattr." + raise ValueError(msg) + + needs_cached_setattr = cache_hash or frozen + filtered_attrs = [] + attr_dict = {} + for a in attrs: + if not a.init and a.default is NOTHING: + continue + + filtered_attrs.append(a) + attr_dict[a.name] = a + + if a.on_setattr is not None: + if frozen is True: + msg = "Frozen classes can't use on_setattr." + raise ValueError(msg) + + needs_cached_setattr = True + elif has_cls_on_setattr and a.on_setattr is not setters.NO_OP: + needs_cached_setattr = True + + script, globs, annotations = _attrs_to_init_script( + filtered_attrs, + frozen, + slots, + pre_init, + pre_init_has_args, + post_init, + cache_hash, + base_attr_map, + is_exc, + needs_cached_setattr, + has_cls_on_setattr, + "__attrs_init__" if attrs_init else "__init__", + ) + if cls.__module__ in sys.modules: + # This makes typing.get_type_hints(CLS.__init__) resolve string types. + globs.update(sys.modules[cls.__module__].__dict__) + + globs.update({"NOTHING": NOTHING, "attr_dict": attr_dict}) + + if needs_cached_setattr: + # Save the lookup overhead in __init__ if we need to circumvent + # setattr hooks. + globs["_cached_setattr_get"] = _OBJ_SETATTR.__get__ + + return script, globs, annotations + + +def _setattr(attr_name: str, value_var: str, has_on_setattr: bool) -> str: + """ + Use the cached object.setattr to set *attr_name* to *value_var*. + """ + return f"_setattr('{attr_name}', {value_var})" + + +def _setattr_with_converter( + attr_name: str, value_var: str, has_on_setattr: bool, converter: Converter +) -> str: + """ + Use the cached object.setattr to set *attr_name* to *value_var*, but run + its converter first. + """ + return f"_setattr('{attr_name}', {converter._fmt_converter_call(attr_name, value_var)})" + + +def _assign(attr_name: str, value: str, has_on_setattr: bool) -> str: + """ + Unless *attr_name* has an on_setattr hook, use normal assignment. Otherwise + relegate to _setattr. + """ + if has_on_setattr: + return _setattr(attr_name, value, True) + + return f"self.{attr_name} = {value}" + + +def _assign_with_converter( + attr_name: str, value_var: str, has_on_setattr: bool, converter: Converter +) -> str: + """ + Unless *attr_name* has an on_setattr hook, use normal assignment after + conversion. Otherwise relegate to _setattr_with_converter. + """ + if has_on_setattr: + return _setattr_with_converter(attr_name, value_var, True, converter) + + return f"self.{attr_name} = {converter._fmt_converter_call(attr_name, value_var)}" + + +def _determine_setters( + frozen: bool, slots: bool, base_attr_map: dict[str, type] +): + """ + Determine the correct setter functions based on whether a class is frozen + and/or slotted. + """ + if frozen is True: + if slots is True: + return (), _setattr, _setattr_with_converter + + # Dict frozen classes assign directly to __dict__. + # But only if the attribute doesn't come from an ancestor slot + # class. + # Note _inst_dict will be used again below if cache_hash is True + + def fmt_setter( + attr_name: str, value_var: str, has_on_setattr: bool + ) -> str: + if _is_slot_attr(attr_name, base_attr_map): + return _setattr(attr_name, value_var, has_on_setattr) + + return f"_inst_dict['{attr_name}'] = {value_var}" + + def fmt_setter_with_converter( + attr_name: str, + value_var: str, + has_on_setattr: bool, + converter: Converter, + ) -> str: + if has_on_setattr or _is_slot_attr(attr_name, base_attr_map): + return _setattr_with_converter( + attr_name, value_var, has_on_setattr, converter + ) + + return f"_inst_dict['{attr_name}'] = {converter._fmt_converter_call(attr_name, value_var)}" + + return ( + ("_inst_dict = self.__dict__",), + fmt_setter, + fmt_setter_with_converter, + ) + + # Not frozen -- we can just assign directly. + return (), _assign, _assign_with_converter + + +def _attrs_to_init_script( + attrs: list[Attribute], + is_frozen: bool, + is_slotted: bool, + call_pre_init: bool, + pre_init_has_args: bool, + call_post_init: bool, + does_cache_hash: bool, + base_attr_map: dict[str, type], + is_exc: bool, + needs_cached_setattr: bool, + has_cls_on_setattr: bool, + method_name: str, +) -> tuple[str, dict, dict]: + """ + Return a script of an initializer for *attrs*, a dict of globals, and + annotations for the initializer. + + The globals are required by the generated script. + """ + lines = ["self.__attrs_pre_init__()"] if call_pre_init else [] + + if needs_cached_setattr: + lines.append( + # Circumvent the __setattr__ descriptor to save one lookup per + # assignment. Note _setattr will be used again below if + # does_cache_hash is True. + "_setattr = _cached_setattr_get(self)" + ) + + extra_lines, fmt_setter, fmt_setter_with_converter = _determine_setters( + is_frozen, is_slotted, base_attr_map + ) + lines.extend(extra_lines) + + args = [] # Parameters in the definition of __init__ + pre_init_args = [] # Parameters in the call to __attrs_pre_init__ + kw_only_args = [] # Used for both 'args' and 'pre_init_args' above + attrs_to_validate = [] + + # This is a dictionary of names to validator and converter callables. + # Injecting this into __init__ globals lets us avoid lookups. + names_for_globals = {} + annotations = {"return": None} + + for a in attrs: + if a.validator: + attrs_to_validate.append(a) + + attr_name = a.name + has_on_setattr = a.on_setattr is not None or ( + a.on_setattr is not setters.NO_OP and has_cls_on_setattr + ) + # a.alias is set to maybe-mangled attr_name in _ClassBuilder if not + # explicitly provided + arg_name = a.alias + + has_factory = isinstance(a.default, Factory) + maybe_self = "self" if has_factory and a.default.takes_self else "" + + if a.converter is not None and not isinstance(a.converter, Converter): + converter = Converter(a.converter) + else: + converter = a.converter + + if a.init is False: + if has_factory: + init_factory_name = _INIT_FACTORY_PAT % (a.name,) + if converter is not None: + lines.append( + fmt_setter_with_converter( + attr_name, + init_factory_name + f"({maybe_self})", + has_on_setattr, + converter, + ) + ) + names_for_globals[converter._get_global_name(a.name)] = ( + converter.converter + ) + else: + lines.append( + fmt_setter( + attr_name, + init_factory_name + f"({maybe_self})", + has_on_setattr, + ) + ) + names_for_globals[init_factory_name] = a.default.factory + elif converter is not None: + lines.append( + fmt_setter_with_converter( + attr_name, + f"attr_dict['{attr_name}'].default", + has_on_setattr, + converter, + ) + ) + names_for_globals[converter._get_global_name(a.name)] = ( + converter.converter + ) + else: + lines.append( + fmt_setter( + attr_name, + f"attr_dict['{attr_name}'].default", + has_on_setattr, + ) + ) + elif a.default is not NOTHING and not has_factory: + arg = f"{arg_name}=attr_dict['{attr_name}'].default" + if a.kw_only: + kw_only_args.append(arg) + else: + args.append(arg) + pre_init_args.append(arg_name) + + if converter is not None: + lines.append( + fmt_setter_with_converter( + attr_name, arg_name, has_on_setattr, converter + ) + ) + names_for_globals[converter._get_global_name(a.name)] = ( + converter.converter + ) + else: + lines.append(fmt_setter(attr_name, arg_name, has_on_setattr)) + + elif has_factory: + arg = f"{arg_name}=NOTHING" + if a.kw_only: + kw_only_args.append(arg) + else: + args.append(arg) + pre_init_args.append(arg_name) + lines.append(f"if {arg_name} is not NOTHING:") + + init_factory_name = _INIT_FACTORY_PAT % (a.name,) + if converter is not None: + lines.append( + " " + + fmt_setter_with_converter( + attr_name, arg_name, has_on_setattr, converter + ) + ) + lines.append("else:") + lines.append( + " " + + fmt_setter_with_converter( + attr_name, + init_factory_name + "(" + maybe_self + ")", + has_on_setattr, + converter, + ) + ) + names_for_globals[converter._get_global_name(a.name)] = ( + converter.converter + ) + else: + lines.append( + " " + fmt_setter(attr_name, arg_name, has_on_setattr) + ) + lines.append("else:") + lines.append( + " " + + fmt_setter( + attr_name, + init_factory_name + "(" + maybe_self + ")", + has_on_setattr, + ) + ) + names_for_globals[init_factory_name] = a.default.factory + else: + if a.kw_only: + kw_only_args.append(arg_name) + else: + args.append(arg_name) + pre_init_args.append(arg_name) + + if converter is not None: + lines.append( + fmt_setter_with_converter( + attr_name, arg_name, has_on_setattr, converter + ) + ) + names_for_globals[converter._get_global_name(a.name)] = ( + converter.converter + ) + else: + lines.append(fmt_setter(attr_name, arg_name, has_on_setattr)) + + if a.init is True: + if a.type is not None and converter is None: + annotations[arg_name] = a.type + elif converter is not None and converter._first_param_type: + # Use the type from the converter if present. + annotations[arg_name] = converter._first_param_type + + if attrs_to_validate: # we can skip this if there are no validators. + names_for_globals["_config"] = _config + lines.append("if _config._run_validators is True:") + for a in attrs_to_validate: + val_name = "__attr_validator_" + a.name + attr_name = "__attr_" + a.name + lines.append(f" {val_name}(self, {attr_name}, self.{a.name})") + names_for_globals[val_name] = a.validator + names_for_globals[attr_name] = a + + if call_post_init: + lines.append("self.__attrs_post_init__()") + + # Because this is set only after __attrs_post_init__ is called, a crash + # will result if post-init tries to access the hash code. This seemed + # preferable to setting this beforehand, in which case alteration to field + # values during post-init combined with post-init accessing the hash code + # would result in silent bugs. + if does_cache_hash: + if is_frozen: + if is_slotted: + init_hash_cache = f"_setattr('{_HASH_CACHE_FIELD}', None)" + else: + init_hash_cache = f"_inst_dict['{_HASH_CACHE_FIELD}'] = None" + else: + init_hash_cache = f"self.{_HASH_CACHE_FIELD} = None" + lines.append(init_hash_cache) + + # For exceptions we rely on BaseException.__init__ for proper + # initialization. + if is_exc: + vals = ",".join(f"self.{a.name}" for a in attrs if a.init) + + lines.append(f"BaseException.__init__(self, {vals})") + + args = ", ".join(args) + pre_init_args = ", ".join(pre_init_args) + if kw_only_args: + # leading comma & kw_only args + args += f"{', ' if args else ''}*, {', '.join(kw_only_args)}" + pre_init_kw_only_args = ", ".join( + [ + f"{kw_arg_name}={kw_arg_name}" + # We need to remove the defaults from the kw_only_args. + for kw_arg_name in (kwa.split("=")[0] for kwa in kw_only_args) + ] + ) + pre_init_args += ", " if pre_init_args else "" + pre_init_args += pre_init_kw_only_args + + if call_pre_init and pre_init_has_args: + # If pre init method has arguments, pass the values given to __init__. + lines[0] = f"self.__attrs_pre_init__({pre_init_args})" + + # Python <3.12 doesn't allow backslashes in f-strings. + NL = "\n " + return ( + f"""def {method_name}(self, {args}): + {NL.join(lines) if lines else "pass"} +""", + names_for_globals, + annotations, + ) + + +def _default_init_alias_for(name: str) -> str: + """ + The default __init__ parameter name for a field. + + This performs private-name adjustment via leading-unscore stripping, + and is the default value of Attribute.alias if not provided. + """ + + return name.lstrip("_") + + +class Attribute: + """ + *Read-only* representation of an attribute. + + .. warning:: + + You should never instantiate this class yourself. + + The class has *all* arguments of `attr.ib` (except for ``factory`` which is + only syntactic sugar for ``default=Factory(...)`` plus the following: + + - ``name`` (`str`): The name of the attribute. + - ``alias`` (`str`): The __init__ parameter name of the attribute, after + any explicit overrides and default private-attribute-name handling. + - ``inherited`` (`bool`): Whether or not that attribute has been inherited + from a base class. + - ``eq_key`` and ``order_key`` (`typing.Callable` or `None`): The + callables that are used for comparing and ordering objects by this + attribute, respectively. These are set by passing a callable to + `attr.ib`'s ``eq``, ``order``, or ``cmp`` arguments. See also + :ref:`comparison customization `. + + Instances of this class are frequently used for introspection purposes + like: + + - `fields` returns a tuple of them. + - Validators get them passed as the first argument. + - The :ref:`field transformer ` hook receives a list of + them. + - The ``alias`` property exposes the __init__ parameter name of the field, + with any overrides and default private-attribute handling applied. + + + .. versionadded:: 20.1.0 *inherited* + .. versionadded:: 20.1.0 *on_setattr* + .. versionchanged:: 20.2.0 *inherited* is not taken into account for + equality checks and hashing anymore. + .. versionadded:: 21.1.0 *eq_key* and *order_key* + .. versionadded:: 22.2.0 *alias* + + For the full version history of the fields, see `attr.ib`. + """ + + # These slots must NOT be reordered because we use them later for + # instantiation. + __slots__ = ( # noqa: RUF023 + "name", + "default", + "validator", + "repr", + "eq", + "eq_key", + "order", + "order_key", + "hash", + "init", + "metadata", + "type", + "converter", + "kw_only", + "inherited", + "on_setattr", + "alias", + ) + + def __init__( + self, + name, + default, + validator, + repr, + cmp, # XXX: unused, remove along with other cmp code. + hash, + init, + inherited, + metadata=None, + type=None, + converter=None, + kw_only=False, + eq=None, + eq_key=None, + order=None, + order_key=None, + on_setattr=None, + alias=None, + ): + eq, eq_key, order, order_key = _determine_attrib_eq_order( + cmp, eq_key or eq, order_key or order, True + ) + + # Cache this descriptor here to speed things up later. + bound_setattr = _OBJ_SETATTR.__get__(self) + + # Despite the big red warning, people *do* instantiate `Attribute` + # themselves. + bound_setattr("name", name) + bound_setattr("default", default) + bound_setattr("validator", validator) + bound_setattr("repr", repr) + bound_setattr("eq", eq) + bound_setattr("eq_key", eq_key) + bound_setattr("order", order) + bound_setattr("order_key", order_key) + bound_setattr("hash", hash) + bound_setattr("init", init) + bound_setattr("converter", converter) + bound_setattr( + "metadata", + ( + types.MappingProxyType(dict(metadata)) # Shallow copy + if metadata + else _EMPTY_METADATA_SINGLETON + ), + ) + bound_setattr("type", type) + bound_setattr("kw_only", kw_only) + bound_setattr("inherited", inherited) + bound_setattr("on_setattr", on_setattr) + bound_setattr("alias", alias) + + def __setattr__(self, name, value): + raise FrozenInstanceError + + @classmethod + def from_counting_attr( + cls, name: str, ca: _CountingAttr, kw_only: bool, type=None + ): + # The 'kw_only' argument is the class-level setting, and is used if the + # attribute itself does not explicitly set 'kw_only'. + # type holds the annotated value. deal with conflicts: + if type is None: + type = ca.type + elif ca.type is not None: + msg = f"Type annotation and type argument cannot both be present for '{name}'." + raise ValueError(msg) + return cls( + name, + ca._default, + ca._validator, + ca.repr, + None, + ca.hash, + ca.init, + False, + ca.metadata, + type, + ca.converter, + kw_only if ca.kw_only is None else ca.kw_only, + ca.eq, + ca.eq_key, + ca.order, + ca.order_key, + ca.on_setattr, + ca.alias, + ) + + # Don't use attrs.evolve since fields(Attribute) doesn't work + def evolve(self, **changes): + """ + Copy *self* and apply *changes*. + + This works similarly to `attrs.evolve` but that function does not work + with :class:`attrs.Attribute`. + + It is mainly meant to be used for `transform-fields`. + + .. versionadded:: 20.3.0 + """ + new = copy.copy(self) + + new._setattrs(changes.items()) + + return new + + # Don't use _add_pickle since fields(Attribute) doesn't work + def __getstate__(self): + """ + Play nice with pickle. + """ + return tuple( + getattr(self, name) if name != "metadata" else dict(self.metadata) + for name in self.__slots__ + ) + + def __setstate__(self, state): + """ + Play nice with pickle. + """ + self._setattrs(zip(self.__slots__, state)) + + def _setattrs(self, name_values_pairs): + bound_setattr = _OBJ_SETATTR.__get__(self) + for name, value in name_values_pairs: + if name != "metadata": + bound_setattr(name, value) + else: + bound_setattr( + name, + ( + types.MappingProxyType(dict(value)) + if value + else _EMPTY_METADATA_SINGLETON + ), + ) + + +_a = [ + Attribute( + name=name, + default=NOTHING, + validator=None, + repr=True, + cmp=None, + eq=True, + order=False, + hash=(name != "metadata"), + init=True, + inherited=False, + alias=_default_init_alias_for(name), + ) + for name in Attribute.__slots__ +] + +Attribute = _add_hash( + _add_eq( + _add_repr(Attribute, attrs=_a), + attrs=[a for a in _a if a.name != "inherited"], + ), + attrs=[a for a in _a if a.hash and a.name != "inherited"], +) + + +class _CountingAttr: + """ + Intermediate representation of attributes that uses a counter to preserve + the order in which the attributes have been defined. + + *Internal* data structure of the attrs library. Running into is most + likely the result of a bug like a forgotten `@attr.s` decorator. + """ + + __slots__ = ( + "_default", + "_validator", + "alias", + "converter", + "counter", + "eq", + "eq_key", + "hash", + "init", + "kw_only", + "metadata", + "on_setattr", + "order", + "order_key", + "repr", + "type", + ) + __attrs_attrs__ = ( + *tuple( + Attribute( + name=name, + alias=_default_init_alias_for(name), + default=NOTHING, + validator=None, + repr=True, + cmp=None, + hash=True, + init=True, + kw_only=False, + eq=True, + eq_key=None, + order=False, + order_key=None, + inherited=False, + on_setattr=None, + ) + for name in ( + "counter", + "_default", + "repr", + "eq", + "order", + "hash", + "init", + "on_setattr", + "alias", + ) + ), + Attribute( + name="metadata", + alias="metadata", + default=None, + validator=None, + repr=True, + cmp=None, + hash=False, + init=True, + kw_only=False, + eq=True, + eq_key=None, + order=False, + order_key=None, + inherited=False, + on_setattr=None, + ), + ) + cls_counter = 0 + + def __init__( + self, + default, + validator, + repr, + cmp, + hash, + init, + converter, + metadata, + type, + kw_only, + eq, + eq_key, + order, + order_key, + on_setattr, + alias, + ): + _CountingAttr.cls_counter += 1 + self.counter = _CountingAttr.cls_counter + self._default = default + self._validator = validator + self.converter = converter + self.repr = repr + self.eq = eq + self.eq_key = eq_key + self.order = order + self.order_key = order_key + self.hash = hash + self.init = init + self.metadata = metadata + self.type = type + self.kw_only = kw_only + self.on_setattr = on_setattr + self.alias = alias + + def validator(self, meth): + """ + Decorator that adds *meth* to the list of validators. + + Returns *meth* unchanged. + + .. versionadded:: 17.1.0 + """ + if self._validator is None: + self._validator = meth + else: + self._validator = and_(self._validator, meth) + return meth + + def default(self, meth): + """ + Decorator that allows to set the default for an attribute. + + Returns *meth* unchanged. + + Raises: + DefaultAlreadySetError: If default has been set before. + + .. versionadded:: 17.1.0 + """ + if self._default is not NOTHING: + raise DefaultAlreadySetError + + self._default = Factory(meth, takes_self=True) + + return meth + + +_CountingAttr = _add_eq(_add_repr(_CountingAttr)) + + +class ClassProps: + """ + Effective class properties as derived from parameters to `attr.s()` or + `define()` decorators. + + This is the same data structure that *attrs* uses internally to decide how + to construct the final class. + + Warning: + + This feature is currently **experimental** and is not covered by our + strict backwards-compatibility guarantees. + + + Attributes: + is_exception (bool): + Whether the class is treated as an exception class. + + is_slotted (bool): + Whether the class is `slotted `. + + has_weakref_slot (bool): + Whether the class has a slot for weak references. + + is_frozen (bool): + Whether the class is frozen. + + kw_only (KeywordOnly): + Whether / how the class enforces keyword-only arguments on the + ``__init__`` method. + + collected_fields_by_mro (bool): + Whether the class fields were collected by method resolution order. + That is, correctly but unlike `dataclasses`. + + added_init (bool): + Whether the class has an *attrs*-generated ``__init__`` method. + + added_repr (bool): + Whether the class has an *attrs*-generated ``__repr__`` method. + + added_eq (bool): + Whether the class has *attrs*-generated equality methods. + + added_ordering (bool): + Whether the class has *attrs*-generated ordering methods. + + hashability (Hashability): How `hashable ` the class is. + + added_match_args (bool): + Whether the class supports positional `match ` over its + fields. + + added_str (bool): + Whether the class has an *attrs*-generated ``__str__`` method. + + added_pickling (bool): + Whether the class has *attrs*-generated ``__getstate__`` and + ``__setstate__`` methods for `pickle`. + + on_setattr_hook (Callable[[Any, Attribute[Any], Any], Any] | None): + The class's ``__setattr__`` hook. + + field_transformer (Callable[[Attribute[Any]], Attribute[Any]] | None): + The class's `field transformers `. + + .. versionadded:: 25.4.0 + """ + + class Hashability(enum.Enum): + """ + The hashability of a class. + + .. versionadded:: 25.4.0 + """ + + HASHABLE = "hashable" + """Write a ``__hash__``.""" + HASHABLE_CACHED = "hashable_cache" + """Write a ``__hash__`` and cache the hash.""" + UNHASHABLE = "unhashable" + """Set ``__hash__`` to ``None``.""" + LEAVE_ALONE = "leave_alone" + """Don't touch ``__hash__``.""" + + class KeywordOnly(enum.Enum): + """ + How attributes should be treated regarding keyword-only parameters. + + .. versionadded:: 25.4.0 + """ + + NO = "no" + """Attributes are not keyword-only.""" + YES = "yes" + """Attributes in current class without kw_only=False are keyword-only.""" + FORCE = "force" + """All attributes are keyword-only.""" + + __slots__ = ( # noqa: RUF023 -- order matters for __init__ + "is_exception", + "is_slotted", + "has_weakref_slot", + "is_frozen", + "kw_only", + "collected_fields_by_mro", + "added_init", + "added_repr", + "added_eq", + "added_ordering", + "hashability", + "added_match_args", + "added_str", + "added_pickling", + "on_setattr_hook", + "field_transformer", + ) + + def __init__( + self, + is_exception, + is_slotted, + has_weakref_slot, + is_frozen, + kw_only, + collected_fields_by_mro, + added_init, + added_repr, + added_eq, + added_ordering, + hashability, + added_match_args, + added_str, + added_pickling, + on_setattr_hook, + field_transformer, + ): + self.is_exception = is_exception + self.is_slotted = is_slotted + self.has_weakref_slot = has_weakref_slot + self.is_frozen = is_frozen + self.kw_only = kw_only + self.collected_fields_by_mro = collected_fields_by_mro + self.added_init = added_init + self.added_repr = added_repr + self.added_eq = added_eq + self.added_ordering = added_ordering + self.hashability = hashability + self.added_match_args = added_match_args + self.added_str = added_str + self.added_pickling = added_pickling + self.on_setattr_hook = on_setattr_hook + self.field_transformer = field_transformer + + @property + def is_hashable(self): + return ( + self.hashability is ClassProps.Hashability.HASHABLE + or self.hashability is ClassProps.Hashability.HASHABLE_CACHED + ) + + +_cas = [ + Attribute( + name=name, + default=NOTHING, + validator=None, + repr=True, + cmp=None, + eq=True, + order=False, + hash=True, + init=True, + inherited=False, + alias=_default_init_alias_for(name), + ) + for name in ClassProps.__slots__ +] + +ClassProps = _add_eq(_add_repr(ClassProps, attrs=_cas), attrs=_cas) + + +class Factory: + """ + Stores a factory callable. + + If passed as the default value to `attrs.field`, the factory is used to + generate a new value. + + Args: + factory (typing.Callable): + A callable that takes either none or exactly one mandatory + positional argument depending on *takes_self*. + + takes_self (bool): + Pass the partially initialized instance that is being initialized + as a positional argument. + + .. versionadded:: 17.1.0 *takes_self* + """ + + __slots__ = ("factory", "takes_self") + + def __init__(self, factory, takes_self=False): + self.factory = factory + self.takes_self = takes_self + + def __getstate__(self): + """ + Play nice with pickle. + """ + return tuple(getattr(self, name) for name in self.__slots__) + + def __setstate__(self, state): + """ + Play nice with pickle. + """ + for name, value in zip(self.__slots__, state): + setattr(self, name, value) + + +_f = [ + Attribute( + name=name, + default=NOTHING, + validator=None, + repr=True, + cmp=None, + eq=True, + order=False, + hash=True, + init=True, + inherited=False, + ) + for name in Factory.__slots__ +] + +Factory = _add_hash(_add_eq(_add_repr(Factory, attrs=_f), attrs=_f), attrs=_f) + + +class Converter: + """ + Stores a converter callable. + + Allows for the wrapped converter to take additional arguments. The + arguments are passed in the order they are documented. + + Args: + converter (Callable): A callable that converts the passed value. + + takes_self (bool): + Pass the partially initialized instance that is being initialized + as a positional argument. (default: `False`) + + takes_field (bool): + Pass the field definition (an :class:`Attribute`) into the + converter as a positional argument. (default: `False`) + + .. versionadded:: 24.1.0 + """ + + __slots__ = ( + "__call__", + "_first_param_type", + "_global_name", + "converter", + "takes_field", + "takes_self", + ) + + def __init__(self, converter, *, takes_self=False, takes_field=False): + self.converter = converter + self.takes_self = takes_self + self.takes_field = takes_field + + ex = _AnnotationExtractor(converter) + self._first_param_type = ex.get_first_param_type() + + if not (self.takes_self or self.takes_field): + self.__call__ = lambda value, _, __: self.converter(value) + elif self.takes_self and not self.takes_field: + self.__call__ = lambda value, instance, __: self.converter( + value, instance + ) + elif not self.takes_self and self.takes_field: + self.__call__ = lambda value, __, field: self.converter( + value, field + ) + else: + self.__call__ = lambda value, instance, field: self.converter( + value, instance, field + ) + + rt = ex.get_return_type() + if rt is not None: + self.__call__.__annotations__["return"] = rt + + @staticmethod + def _get_global_name(attr_name: str) -> str: + """ + Return the name that a converter for an attribute name *attr_name* + would have. + """ + return f"__attr_converter_{attr_name}" + + def _fmt_converter_call(self, attr_name: str, value_var: str) -> str: + """ + Return a string that calls the converter for an attribute name + *attr_name* and the value in variable named *value_var* according to + `self.takes_self` and `self.takes_field`. + """ + if not (self.takes_self or self.takes_field): + return f"{self._get_global_name(attr_name)}({value_var})" + + if self.takes_self and self.takes_field: + return f"{self._get_global_name(attr_name)}({value_var}, self, attr_dict['{attr_name}'])" + + if self.takes_self: + return f"{self._get_global_name(attr_name)}({value_var}, self)" + + return f"{self._get_global_name(attr_name)}({value_var}, attr_dict['{attr_name}'])" + + def __getstate__(self): + """ + Return a dict containing only converter and takes_self -- the rest gets + computed when loading. + """ + return { + "converter": self.converter, + "takes_self": self.takes_self, + "takes_field": self.takes_field, + } + + def __setstate__(self, state): + """ + Load instance from state. + """ + self.__init__(**state) + + +_f = [ + Attribute( + name=name, + default=NOTHING, + validator=None, + repr=True, + cmp=None, + eq=True, + order=False, + hash=True, + init=True, + inherited=False, + ) + for name in ("converter", "takes_self", "takes_field") +] + +Converter = _add_hash( + _add_eq(_add_repr(Converter, attrs=_f), attrs=_f), attrs=_f +) + + +def make_class( + name, attrs, bases=(object,), class_body=None, **attributes_arguments +): + r""" + A quick way to create a new class called *name* with *attrs*. + + .. note:: + + ``make_class()`` is a thin wrapper around `attr.s`, not `attrs.define` + which means that it doesn't come with some of the improved defaults. + + For example, if you want the same ``on_setattr`` behavior as in + `attrs.define`, you have to pass the hooks yourself: ``make_class(..., + on_setattr=setters.pipe(setters.convert, setters.validate)`` + + .. warning:: + + It is *your* duty to ensure that the class name and the attribute names + are valid identifiers. ``make_class()`` will *not* validate them for + you. + + Args: + name (str): The name for the new class. + + attrs (list | dict): + A list of names or a dictionary of mappings of names to `attr.ib`\ + s / `attrs.field`\ s. + + The order is deduced from the order of the names or attributes + inside *attrs*. Otherwise the order of the definition of the + attributes is used. + + bases (tuple[type, ...]): Classes that the new class will subclass. + + class_body (dict): + An optional dictionary of class attributes for the new class. + + attributes_arguments: Passed unmodified to `attr.s`. + + Returns: + type: A new class with *attrs*. + + .. versionadded:: 17.1.0 *bases* + .. versionchanged:: 18.1.0 If *attrs* is ordered, the order is retained. + .. versionchanged:: 23.2.0 *class_body* + .. versionchanged:: 25.2.0 Class names can now be unicode. + """ + # Class identifiers are converted into the normal form NFKC while parsing + name = unicodedata.normalize("NFKC", name) + + if isinstance(attrs, dict): + cls_dict = attrs + elif isinstance(attrs, (list, tuple)): + cls_dict = {a: attrib() for a in attrs} + else: + msg = "attrs argument must be a dict or a list." + raise TypeError(msg) + + pre_init = cls_dict.pop("__attrs_pre_init__", None) + post_init = cls_dict.pop("__attrs_post_init__", None) + user_init = cls_dict.pop("__init__", None) + + body = {} + if class_body is not None: + body.update(class_body) + if pre_init is not None: + body["__attrs_pre_init__"] = pre_init + if post_init is not None: + body["__attrs_post_init__"] = post_init + if user_init is not None: + body["__init__"] = user_init + + type_ = types.new_class(name, bases, {}, lambda ns: ns.update(body)) + + # For pickling to work, the __module__ variable needs to be set to the + # frame where the class is created. Bypass this step in environments where + # sys._getframe is not defined (Jython for example) or sys._getframe is not + # defined for arguments greater than 0 (IronPython). + with contextlib.suppress(AttributeError, ValueError): + type_.__module__ = sys._getframe(1).f_globals.get( + "__name__", "__main__" + ) + + # We do it here for proper warnings with meaningful stacklevel. + cmp = attributes_arguments.pop("cmp", None) + ( + attributes_arguments["eq"], + attributes_arguments["order"], + ) = _determine_attrs_eq_order( + cmp, + attributes_arguments.get("eq"), + attributes_arguments.get("order"), + True, + ) + + cls = _attrs(these=cls_dict, **attributes_arguments)(type_) + # Only add type annotations now or "_attrs()" will complain: + cls.__annotations__ = { + k: v.type for k, v in cls_dict.items() if v.type is not None + } + return cls + + +# These are required by within this module so we define them here and merely +# import into .validators / .converters. + + +@attrs(slots=True, unsafe_hash=True) +class _AndValidator: + """ + Compose many validators to a single one. + """ + + _validators = attrib() + + def __call__(self, inst, attr, value): + for v in self._validators: + v(inst, attr, value) + + +def and_(*validators): + """ + A validator that composes multiple validators into one. + + When called on a value, it runs all wrapped validators. + + Args: + validators (~collections.abc.Iterable[typing.Callable]): + Arbitrary number of validators. + + .. versionadded:: 17.1.0 + """ + vals = [] + for validator in validators: + vals.extend( + validator._validators + if isinstance(validator, _AndValidator) + else [validator] + ) + + return _AndValidator(tuple(vals)) + + +def pipe(*converters): + """ + A converter that composes multiple converters into one. + + When called on a value, it runs all wrapped converters, returning the + *last* value. + + Type annotations will be inferred from the wrapped converters', if they + have any. + + converters (~collections.abc.Iterable[typing.Callable]): + Arbitrary number of converters. + + .. versionadded:: 20.1.0 + """ + + return_instance = any(isinstance(c, Converter) for c in converters) + + if return_instance: + + def pipe_converter(val, inst, field): + for c in converters: + val = ( + c(val, inst, field) if isinstance(c, Converter) else c(val) + ) + + return val + + else: + + def pipe_converter(val): + for c in converters: + val = c(val) + + return val + + if not converters: + # If the converter list is empty, pipe_converter is the identity. + A = TypeVar("A") + pipe_converter.__annotations__.update({"val": A, "return": A}) + else: + # Get parameter type from first converter. + t = _AnnotationExtractor(converters[0]).get_first_param_type() + if t: + pipe_converter.__annotations__["val"] = t + + last = converters[-1] + if not PY_3_11_PLUS and isinstance(last, Converter): + last = last.__call__ + + # Get return type from last converter. + rt = _AnnotationExtractor(last).get_return_type() + if rt: + pipe_converter.__annotations__["return"] = rt + + if return_instance: + return Converter(pipe_converter, takes_self=True, takes_field=True) + return pipe_converter diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_next_gen.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_next_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..4ccd0da2446dc126ce936b054581a527e247cabc --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_next_gen.py @@ -0,0 +1,674 @@ +# SPDX-License-Identifier: MIT + +""" +These are keyword-only APIs that call `attr.s` and `attr.ib` with different +default values. +""" + +from functools import partial + +from . import setters +from ._funcs import asdict as _asdict +from ._funcs import astuple as _astuple +from ._make import ( + _DEFAULT_ON_SETATTR, + NOTHING, + _frozen_setattrs, + attrib, + attrs, +) +from .exceptions import NotAnAttrsClassError, UnannotatedAttributeError + + +def define( + maybe_cls=None, + *, + these=None, + repr=None, + unsafe_hash=None, + hash=None, + init=None, + slots=True, + frozen=False, + weakref_slot=True, + str=False, + auto_attribs=None, + kw_only=False, + cache_hash=False, + auto_exc=True, + eq=None, + order=False, + auto_detect=True, + getstate_setstate=None, + on_setattr=None, + field_transformer=None, + match_args=True, + force_kw_only=False, +): + r""" + A class decorator that adds :term:`dunder methods` according to + :term:`fields ` specified using :doc:`type annotations `, + `field()` calls, or the *these* argument. + + Since *attrs* patches or replaces an existing class, you cannot use + `object.__init_subclass__` with *attrs* classes, because it runs too early. + As a replacement, you can define ``__attrs_init_subclass__`` on your class. + It will be called by *attrs* classes that subclass it after they're + created. See also :ref:`init-subclass`. + + Args: + slots (bool): + Create a :term:`slotted class ` that's more + memory-efficient. Slotted classes are generally superior to the + default dict classes, but have some gotchas you should know about, + so we encourage you to read the :term:`glossary entry `. + + auto_detect (bool): + Instead of setting the *init*, *repr*, *eq*, and *hash* arguments + explicitly, assume they are set to True **unless any** of the + involved methods for one of the arguments is implemented in the + *current* class (meaning, it is *not* inherited from some base + class). + + So, for example by implementing ``__eq__`` on a class yourself, + *attrs* will deduce ``eq=False`` and will create *neither* + ``__eq__`` *nor* ``__ne__`` (but Python classes come with a + sensible ``__ne__`` by default, so it *should* be enough to only + implement ``__eq__`` in most cases). + + Passing :data:`True` or :data:`False` to *init*, *repr*, *eq*, or *hash* + overrides whatever *auto_detect* would determine. + + auto_exc (bool): + If the class subclasses `BaseException` (which implicitly includes + any subclass of any exception), the following happens to behave + like a well-behaved Python exception class: + + - the values for *eq*, *order*, and *hash* are ignored and the + instances compare and hash by the instance's ids [#]_ , + - all attributes that are either passed into ``__init__`` or have a + default value are additionally available as a tuple in the + ``args`` attribute, + - the value of *str* is ignored leaving ``__str__`` to base + classes. + + .. [#] + Note that *attrs* will *not* remove existing implementations of + ``__hash__`` or the equality methods. It just won't add own + ones. + + on_setattr (~typing.Callable | list[~typing.Callable] | None | ~typing.Literal[attrs.setters.NO_OP]): + A callable that is run whenever the user attempts to set an + attribute (either by assignment like ``i.x = 42`` or by using + `setattr` like ``setattr(i, "x", 42)``). It receives the same + arguments as validators: the instance, the attribute that is being + modified, and the new value. + + If no exception is raised, the attribute is set to the return value + of the callable. + + If a list of callables is passed, they're automatically wrapped in + an `attrs.setters.pipe`. + + If left None, the default behavior is to run converters and + validators whenever an attribute is set. + + init (bool): + Create a ``__init__`` method that initializes the *attrs* + attributes. Leading underscores are stripped for the argument name, + unless an alias is set on the attribute. + + .. seealso:: + `init` shows advanced ways to customize the generated + ``__init__`` method, including executing code before and after. + + repr(bool): + Create a ``__repr__`` method with a human readable representation + of *attrs* attributes. + + str (bool): + Create a ``__str__`` method that is identical to ``__repr__``. This + is usually not necessary except for `Exception`\ s. + + eq (bool | None): + If True or None (default), add ``__eq__`` and ``__ne__`` methods + that check two instances for equality. + + .. seealso:: + `comparison` describes how to customize the comparison behavior + going as far comparing NumPy arrays. + + order (bool | None): + If True, add ``__lt__``, ``__le__``, ``__gt__``, and ``__ge__`` + methods that behave like *eq* above and allow instances to be + ordered. + + They compare the instances as if they were tuples of their *attrs* + attributes if and only if the types of both classes are + *identical*. + + If `None` mirror value of *eq*. + + .. seealso:: `comparison` + + unsafe_hash (bool | None): + If None (default), the ``__hash__`` method is generated according + how *eq* and *frozen* are set. + + 1. If *both* are True, *attrs* will generate a ``__hash__`` for + you. + 2. If *eq* is True and *frozen* is False, ``__hash__`` will be set + to None, marking it unhashable (which it is). + 3. If *eq* is False, ``__hash__`` will be left untouched meaning + the ``__hash__`` method of the base class will be used. If the + base class is `object`, this means it will fall back to id-based + hashing. + + Although not recommended, you can decide for yourself and force + *attrs* to create one (for example, if the class is immutable even + though you didn't freeze it programmatically) by passing True or + not. Both of these cases are rather special and should be used + carefully. + + .. seealso:: + + - Our documentation on `hashing`, + - Python's documentation on `object.__hash__`, + - and the `GitHub issue that led to the default \ behavior + `_ for more + details. + + hash (bool | None): + Deprecated alias for *unsafe_hash*. *unsafe_hash* takes precedence. + + cache_hash (bool): + Ensure that the object's hash code is computed only once and stored + on the object. If this is set to True, hashing must be either + explicitly or implicitly enabled for this class. If the hash code + is cached, avoid any reassignments of fields involved in hash code + computation or mutations of the objects those fields point to after + object creation. If such changes occur, the behavior of the + object's hash code is undefined. + + frozen (bool): + Make instances immutable after initialization. If someone attempts + to modify a frozen instance, `attrs.exceptions.FrozenInstanceError` + is raised. + + .. note:: + + 1. This is achieved by installing a custom ``__setattr__`` + method on your class, so you can't implement your own. + + 2. True immutability is impossible in Python. + + 3. This *does* have a minor a runtime performance `impact + ` when initializing new instances. In other + words: ``__init__`` is slightly slower with ``frozen=True``. + + 4. If a class is frozen, you cannot modify ``self`` in + ``__attrs_post_init__`` or a self-written ``__init__``. You + can circumvent that limitation by using + ``object.__setattr__(self, "attribute_name", value)``. + + 5. Subclasses of a frozen class are frozen too. + + kw_only (bool): + Make attributes keyword-only in the generated ``__init__`` (if + *init* is False, this parameter is ignored). Attributes that + explicitly set ``kw_only=False`` are not affected; base class + attributes are also not affected. + + Also see *force_kw_only*. + + weakref_slot (bool): + Make instances weak-referenceable. This has no effect unless + *slots* is True. + + field_transformer (~typing.Callable | None): + A function that is called with the original class object and all + fields right before *attrs* finalizes the class. You can use this, + for example, to automatically add converters or validators to + fields based on their types. + + .. seealso:: `transform-fields` + + match_args (bool): + If True (default), set ``__match_args__`` on the class to support + :pep:`634` (*Structural Pattern Matching*). It is a tuple of all + non-keyword-only ``__init__`` parameter names on Python 3.10 and + later. Ignored on older Python versions. + + collect_by_mro (bool): + If True, *attrs* collects attributes from base classes correctly + according to the `method resolution order + `_. If False, *attrs* + will mimic the (wrong) behavior of `dataclasses` and :pep:`681`. + + See also `issue #428 + `_. + + force_kw_only (bool): + A back-compat flag for restoring pre-25.4.0 behavior. If True and + ``kw_only=True``, all attributes are made keyword-only, including + base class attributes, and those set to ``kw_only=False`` at the + attribute level. Defaults to False. + + See also `issue #980 + `_. + + getstate_setstate (bool | None): + .. note:: + + This is usually only interesting for slotted classes and you + should probably just set *auto_detect* to True. + + If True, ``__getstate__`` and ``__setstate__`` are generated and + attached to the class. This is necessary for slotted classes to be + pickleable. If left None, it's True by default for slotted classes + and False for dict classes. + + If *auto_detect* is True, and *getstate_setstate* is left None, and + **either** ``__getstate__`` or ``__setstate__`` is detected + directly on the class (meaning: not inherited), it is set to False + (this is usually what you want). + + auto_attribs (bool | None): + If True, look at type annotations to determine which attributes to + use, like `dataclasses`. If False, it will only look for explicit + :func:`field` class attributes, like classic *attrs*. + + If left None, it will guess: + + 1. If any attributes are annotated and no unannotated + `attrs.field`\ s are found, it assumes *auto_attribs=True*. + 2. Otherwise it assumes *auto_attribs=False* and tries to collect + `attrs.field`\ s. + + If *attrs* decides to look at type annotations, **all** fields + **must** be annotated. If *attrs* encounters a field that is set to + a :func:`field` / `attr.ib` but lacks a type annotation, an + `attrs.exceptions.UnannotatedAttributeError` is raised. Use + ``field_name: typing.Any = field(...)`` if you don't want to set a + type. + + .. warning:: + + For features that use the attribute name to create decorators + (for example, :ref:`validators `), you still *must* + assign :func:`field` / `attr.ib` to them. Otherwise Python will + either not find the name or try to use the default value to + call, for example, ``validator`` on it. + + Attributes annotated as `typing.ClassVar`, and attributes that are + neither annotated nor set to an `field()` are **ignored**. + + these (dict[str, object]): + A dictionary of name to the (private) return value of `field()` + mappings. This is useful to avoid the definition of your attributes + within the class body because you can't (for example, if you want + to add ``__repr__`` methods to Django models) or don't want to. + + If *these* is not `None`, *attrs* will *not* search the class body + for attributes and will *not* remove any attributes from it. + + The order is deduced from the order of the attributes inside + *these*. + + Arguably, this is a rather obscure feature. + + .. versionadded:: 20.1.0 + .. versionchanged:: 21.3.0 Converters are also run ``on_setattr``. + .. versionadded:: 22.2.0 + *unsafe_hash* as an alias for *hash* (for :pep:`681` compliance). + .. versionchanged:: 24.1.0 + Instances are not compared as tuples of attributes anymore, but using a + big ``and`` condition. This is faster and has more correct behavior for + uncomparable values like `math.nan`. + .. versionadded:: 24.1.0 + If a class has an *inherited* classmethod called + ``__attrs_init_subclass__``, it is executed after the class is created. + .. deprecated:: 24.1.0 *hash* is deprecated in favor of *unsafe_hash*. + .. versionadded:: 24.3.0 + Unless already present, a ``__replace__`` method is automatically + created for `copy.replace` (Python 3.13+ only). + .. versionchanged:: 25.4.0 + *kw_only* now only applies to attributes defined in the current class, + and respects attribute-level ``kw_only=False`` settings. + .. versionadded:: 25.4.0 + Added *force_kw_only* to go back to the previous *kw_only* behavior. + + .. note:: + + The main differences to the classic `attr.s` are: + + - Automatically detect whether or not *auto_attribs* should be `True` + (c.f. *auto_attribs* parameter). + - Converters and validators run when attributes are set by default -- + if *frozen* is `False`. + - *slots=True* + + Usually, this has only upsides and few visible effects in everyday + programming. But it *can* lead to some surprising behaviors, so + please make sure to read :term:`slotted classes`. + + - *auto_exc=True* + - *auto_detect=True* + - *order=False* + - *force_kw_only=False* + - Some options that were only relevant on Python 2 or were kept around + for backwards-compatibility have been removed. + + """ + + def do_it(cls, auto_attribs): + return attrs( + maybe_cls=cls, + these=these, + repr=repr, + hash=hash, + unsafe_hash=unsafe_hash, + init=init, + slots=slots, + frozen=frozen, + weakref_slot=weakref_slot, + str=str, + auto_attribs=auto_attribs, + kw_only=kw_only, + cache_hash=cache_hash, + auto_exc=auto_exc, + eq=eq, + order=order, + auto_detect=auto_detect, + collect_by_mro=True, + getstate_setstate=getstate_setstate, + on_setattr=on_setattr, + field_transformer=field_transformer, + match_args=match_args, + force_kw_only=force_kw_only, + ) + + def wrap(cls): + """ + Making this a wrapper ensures this code runs during class creation. + + We also ensure that frozen-ness of classes is inherited. + """ + nonlocal frozen, on_setattr + + had_on_setattr = on_setattr not in (None, setters.NO_OP) + + # By default, mutable classes convert & validate on setattr. + if frozen is False and on_setattr is None: + on_setattr = _DEFAULT_ON_SETATTR + + # However, if we subclass a frozen class, we inherit the immutability + # and disable on_setattr. + for base_cls in cls.__bases__: + if base_cls.__setattr__ is _frozen_setattrs: + if had_on_setattr: + msg = "Frozen classes can't use on_setattr (frozen-ness was inherited)." + raise ValueError(msg) + + on_setattr = setters.NO_OP + break + + if auto_attribs is not None: + return do_it(cls, auto_attribs) + + try: + return do_it(cls, True) + except UnannotatedAttributeError: + return do_it(cls, False) + + # maybe_cls's type depends on the usage of the decorator. It's a class + # if it's used as `@attrs` but `None` if used as `@attrs()`. + if maybe_cls is None: + return wrap + + return wrap(maybe_cls) + + +mutable = define +frozen = partial(define, frozen=True, on_setattr=None) + + +def field( + *, + default=NOTHING, + validator=None, + repr=True, + hash=None, + init=True, + metadata=None, + type=None, + converter=None, + factory=None, + kw_only=None, + eq=None, + order=None, + on_setattr=None, + alias=None, +): + """ + Create a new :term:`field` / :term:`attribute` on a class. + + .. warning:: + + Does **nothing** unless the class is also decorated with + `attrs.define` (or similar)! + + Args: + default: + A value that is used if an *attrs*-generated ``__init__`` is used + and no value is passed while instantiating or the attribute is + excluded using ``init=False``. + + If the value is an instance of `attrs.Factory`, its callable will + be used to construct a new value (useful for mutable data types + like lists or dicts). + + If a default is not set (or set manually to `attrs.NOTHING`), a + value *must* be supplied when instantiating; otherwise a + `TypeError` will be raised. + + .. seealso:: `defaults` + + factory (~typing.Callable): + Syntactic sugar for ``default=attr.Factory(factory)``. + + validator (~typing.Callable | list[~typing.Callable]): + Callable that is called by *attrs*-generated ``__init__`` methods + after the instance has been initialized. They receive the + initialized instance, the :func:`~attrs.Attribute`, and the passed + value. + + The return value is *not* inspected so the validator has to throw + an exception itself. + + If a `list` is passed, its items are treated as validators and must + all pass. + + Validators can be globally disabled and re-enabled using + `attrs.validators.get_disabled` / `attrs.validators.set_disabled`. + + The validator can also be set using decorator notation as shown + below. + + .. seealso:: :ref:`validators` + + repr (bool | ~typing.Callable): + Include this attribute in the generated ``__repr__`` method. If + True, include the attribute; if False, omit it. By default, the + built-in ``repr()`` function is used. To override how the attribute + value is formatted, pass a ``callable`` that takes a single value + and returns a string. Note that the resulting string is used as-is, + which means it will be used directly *instead* of calling + ``repr()`` (the default). + + eq (bool | ~typing.Callable): + If True (default), include this attribute in the generated + ``__eq__`` and ``__ne__`` methods that check two instances for + equality. To override how the attribute value is compared, pass a + callable that takes a single value and returns the value to be + compared. + + .. seealso:: `comparison` + + order (bool | ~typing.Callable): + If True (default), include this attributes in the generated + ``__lt__``, ``__le__``, ``__gt__`` and ``__ge__`` methods. To + override how the attribute value is ordered, pass a callable that + takes a single value and returns the value to be ordered. + + .. seealso:: `comparison` + + hash (bool | None): + Include this attribute in the generated ``__hash__`` method. If + None (default), mirror *eq*'s value. This is the correct behavior + according the Python spec. Setting this value to anything else + than None is *discouraged*. + + .. seealso:: `hashing` + + init (bool): + Include this attribute in the generated ``__init__`` method. + + It is possible to set this to False and set a default value. In + that case this attributed is unconditionally initialized with the + specified default value or factory. + + .. seealso:: `init` + + converter (typing.Callable | Converter): + A callable that is called by *attrs*-generated ``__init__`` methods + to convert attribute's value to the desired format. + + If a vanilla callable is passed, it is given the passed-in value as + the only positional argument. It is possible to receive additional + arguments by wrapping the callable in a `Converter`. + + Either way, the returned value will be used as the new value of the + attribute. The value is converted before being passed to the + validator, if any. + + .. seealso:: :ref:`converters` + + metadata (dict | None): + An arbitrary mapping, to be used by third-party code. + + .. seealso:: `extending-metadata`. + + type (type): + The type of the attribute. Nowadays, the preferred method to + specify the type is using a variable annotation (see :pep:`526`). + This argument is provided for backwards-compatibility and for usage + with `make_class`. Regardless of the approach used, the type will + be stored on ``Attribute.type``. + + Please note that *attrs* doesn't do anything with this metadata by + itself. You can use it as part of your own code or for `static type + checking `. + + kw_only (bool | None): + Make this attribute keyword-only in the generated ``__init__`` (if + *init* is False, this parameter is ignored). If None (default), + mirror the setting from `attrs.define`. + + on_setattr (~typing.Callable | list[~typing.Callable] | None | ~typing.Literal[attrs.setters.NO_OP]): + Allows to overwrite the *on_setattr* setting from `attr.s`. If left + None, the *on_setattr* value from `attr.s` is used. Set to + `attrs.setters.NO_OP` to run **no** `setattr` hooks for this + attribute -- regardless of the setting in `define()`. + + alias (str | None): + Override this attribute's parameter name in the generated + ``__init__`` method. If left None, default to ``name`` stripped + of leading underscores. See `private-attributes`. + + .. versionadded:: 20.1.0 + .. versionchanged:: 21.1.0 + *eq*, *order*, and *cmp* also accept a custom callable + .. versionadded:: 22.2.0 *alias* + .. versionadded:: 23.1.0 + The *type* parameter has been re-added; mostly for `attrs.make_class`. + Please note that type checkers ignore this metadata. + .. versionchanged:: 25.4.0 + *kw_only* can now be None, and its default is also changed from False to + None. + + .. seealso:: + + `attr.ib` + """ + return attrib( + default=default, + validator=validator, + repr=repr, + hash=hash, + init=init, + metadata=metadata, + type=type, + converter=converter, + factory=factory, + kw_only=kw_only, + eq=eq, + order=order, + on_setattr=on_setattr, + alias=alias, + ) + + +def asdict(inst, *, recurse=True, filter=None, value_serializer=None): + """ + Same as `attr.asdict`, except that collections types are always retained + and dict is always used as *dict_factory*. + + .. versionadded:: 21.3.0 + """ + return _asdict( + inst=inst, + recurse=recurse, + filter=filter, + value_serializer=value_serializer, + retain_collection_types=True, + ) + + +def astuple(inst, *, recurse=True, filter=None): + """ + Same as `attr.astuple`, except that collections types are always retained + and `tuple` is always used as the *tuple_factory*. + + .. versionadded:: 21.3.0 + """ + return _astuple( + inst=inst, recurse=recurse, filter=filter, retain_collection_types=True + ) + + +def inspect(cls): + """ + Inspect the class and return its effective build parameters. + + Warning: + This feature is currently **experimental** and is not covered by our + strict backwards-compatibility guarantees. + + Args: + cls: The *attrs*-decorated class to inspect. + + Returns: + The effective build parameters of the class. + + Raises: + NotAnAttrsClassError: If the class is not an *attrs*-decorated class. + + .. versionadded:: 25.4.0 + """ + try: + return cls.__dict__["__attrs_props__"] + except KeyError: + msg = f"{cls!r} is not an attrs-decorated class." + raise NotAnAttrsClassError(msg) from None diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_typing_compat.pyi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_typing_compat.pyi new file mode 100644 index 0000000000000000000000000000000000000000..ca7b71e906a28f88726bbd342fdfe636af0281e7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_typing_compat.pyi @@ -0,0 +1,15 @@ +from typing import Any, ClassVar, Protocol + +# MYPY is a special constant in mypy which works the same way as `TYPE_CHECKING`. +MYPY = False + +if MYPY: + # A protocol to be able to statically accept an attrs class. + class AttrsInstance_(Protocol): + __attrs_attrs__: ClassVar[Any] + +else: + # For type checkers without plug-in support use an empty protocol that + # will (hopefully) be combined into a union. + class AttrsInstance_(Protocol): + pass diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_version_info.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_version_info.py new file mode 100644 index 0000000000000000000000000000000000000000..27f18884ad4d7a42f338e31a8ea19bc5d19999cd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_version_info.py @@ -0,0 +1,89 @@ +# SPDX-License-Identifier: MIT + + +from functools import total_ordering + +from ._funcs import astuple +from ._make import attrib, attrs + + +@total_ordering +@attrs(eq=False, order=False, slots=True, frozen=True) +class VersionInfo: + """ + A version object that can be compared to tuple of length 1--4: + + >>> attr.VersionInfo(19, 1, 0, "final") <= (19, 2) + True + >>> attr.VersionInfo(19, 1, 0, "final") < (19, 1, 1) + True + >>> vi = attr.VersionInfo(19, 2, 0, "final") + >>> vi < (19, 1, 1) + False + >>> vi < (19,) + False + >>> vi == (19, 2,) + True + >>> vi == (19, 2, 1) + False + + .. versionadded:: 19.2 + """ + + year = attrib(type=int) + minor = attrib(type=int) + micro = attrib(type=int) + releaselevel = attrib(type=str) + + @classmethod + def _from_version_string(cls, s): + """ + Parse *s* and return a _VersionInfo. + """ + v = s.split(".") + if len(v) == 3: + v.append("final") + + return cls( + year=int(v[0]), minor=int(v[1]), micro=int(v[2]), releaselevel=v[3] + ) + + def _ensure_tuple(self, other): + """ + Ensure *other* is a tuple of a valid length. + + Returns a possibly transformed *other* and ourselves as a tuple of + the same length as *other*. + """ + + if self.__class__ is other.__class__: + other = astuple(other) + + if not isinstance(other, tuple): + raise NotImplementedError + + if not (1 <= len(other) <= 4): + raise NotImplementedError + + return astuple(self)[: len(other)], other + + def __eq__(self, other): + try: + us, them = self._ensure_tuple(other) + except NotImplementedError: + return NotImplemented + + return us == them + + def __lt__(self, other): + try: + us, them = self._ensure_tuple(other) + except NotImplementedError: + return NotImplemented + + # Since alphabetically "dev0" < "final" < "post1" < "post2", we don't + # have to do anything special with releaselevel for now. + return us < them + + def __hash__(self): + return hash((self.year, self.minor, self.micro, self.releaselevel)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_version_info.pyi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_version_info.pyi new file mode 100644 index 0000000000000000000000000000000000000000..45ced086337783c4b73b26cd17d2c1c260e24029 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/_version_info.pyi @@ -0,0 +1,9 @@ +class VersionInfo: + @property + def year(self) -> int: ... + @property + def minor(self) -> int: ... + @property + def micro(self) -> int: ... + @property + def releaselevel(self) -> str: ... diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/converters.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/converters.py new file mode 100644 index 0000000000000000000000000000000000000000..0a79deef04282fb33a42f6aca59563d49e70d4cb --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/converters.py @@ -0,0 +1,162 @@ +# SPDX-License-Identifier: MIT + +""" +Commonly useful converters. +""" + +import typing + +from ._compat import _AnnotationExtractor +from ._make import NOTHING, Converter, Factory, pipe + + +__all__ = [ + "default_if_none", + "optional", + "pipe", + "to_bool", +] + + +def optional(converter): + """ + A converter that allows an attribute to be optional. An optional attribute + is one which can be set to `None`. + + Type annotations will be inferred from the wrapped converter's, if it has + any. + + Args: + converter (typing.Callable): + the converter that is used for non-`None` values. + + .. versionadded:: 17.1.0 + """ + + if isinstance(converter, Converter): + + def optional_converter(val, inst, field): + if val is None: + return None + return converter(val, inst, field) + + else: + + def optional_converter(val): + if val is None: + return None + return converter(val) + + xtr = _AnnotationExtractor(converter) + + t = xtr.get_first_param_type() + if t: + optional_converter.__annotations__["val"] = typing.Optional[t] + + rt = xtr.get_return_type() + if rt: + optional_converter.__annotations__["return"] = typing.Optional[rt] + + if isinstance(converter, Converter): + return Converter(optional_converter, takes_self=True, takes_field=True) + + return optional_converter + + +def default_if_none(default=NOTHING, factory=None): + """ + A converter that allows to replace `None` values by *default* or the result + of *factory*. + + Args: + default: + Value to be used if `None` is passed. Passing an instance of + `attrs.Factory` is supported, however the ``takes_self`` option is + *not*. + + factory (typing.Callable): + A callable that takes no parameters whose result is used if `None` + is passed. + + Raises: + TypeError: If **neither** *default* or *factory* is passed. + + TypeError: If **both** *default* and *factory* are passed. + + ValueError: + If an instance of `attrs.Factory` is passed with + ``takes_self=True``. + + .. versionadded:: 18.2.0 + """ + if default is NOTHING and factory is None: + msg = "Must pass either `default` or `factory`." + raise TypeError(msg) + + if default is not NOTHING and factory is not None: + msg = "Must pass either `default` or `factory` but not both." + raise TypeError(msg) + + if factory is not None: + default = Factory(factory) + + if isinstance(default, Factory): + if default.takes_self: + msg = "`takes_self` is not supported by default_if_none." + raise ValueError(msg) + + def default_if_none_converter(val): + if val is not None: + return val + + return default.factory() + + else: + + def default_if_none_converter(val): + if val is not None: + return val + + return default + + return default_if_none_converter + + +def to_bool(val): + """ + Convert "boolean" strings (for example, from environment variables) to real + booleans. + + Values mapping to `True`: + + - ``True`` + - ``"true"`` / ``"t"`` + - ``"yes"`` / ``"y"`` + - ``"on"`` + - ``"1"`` + - ``1`` + + Values mapping to `False`: + + - ``False`` + - ``"false"`` / ``"f"`` + - ``"no"`` / ``"n"`` + - ``"off"`` + - ``"0"`` + - ``0`` + + Raises: + ValueError: For any other value. + + .. versionadded:: 21.3.0 + """ + if isinstance(val, str): + val = val.lower() + + if val in (True, "true", "t", "yes", "y", "on", "1", 1): + return True + if val in (False, "false", "f", "no", "n", "off", "0", 0): + return False + + msg = f"Cannot convert value to bool: {val!r}" + raise ValueError(msg) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/converters.pyi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/converters.pyi new file mode 100644 index 0000000000000000000000000000000000000000..12bd0c4f17bdc60fb8904598af0a3d56d5874a9e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/converters.pyi @@ -0,0 +1,19 @@ +from typing import Callable, Any, overload + +from attrs import _ConverterType, _CallableConverterType + +@overload +def pipe(*validators: _CallableConverterType) -> _CallableConverterType: ... +@overload +def pipe(*validators: _ConverterType) -> _ConverterType: ... +@overload +def optional(converter: _CallableConverterType) -> _CallableConverterType: ... +@overload +def optional(converter: _ConverterType) -> _ConverterType: ... +@overload +def default_if_none(default: Any) -> _CallableConverterType: ... +@overload +def default_if_none( + *, factory: Callable[[], Any] +) -> _CallableConverterType: ... +def to_bool(val: str | int | bool) -> bool: ... diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/exceptions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..3b7abb8154108aa1d0ae52fa9ee8e489f05b5563 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/exceptions.py @@ -0,0 +1,95 @@ +# SPDX-License-Identifier: MIT + +from __future__ import annotations + +from typing import ClassVar + + +class FrozenError(AttributeError): + """ + A frozen/immutable instance or attribute have been attempted to be + modified. + + It mirrors the behavior of ``namedtuples`` by using the same error message + and subclassing `AttributeError`. + + .. versionadded:: 20.1.0 + """ + + msg = "can't set attribute" + args: ClassVar[tuple[str]] = [msg] + + +class FrozenInstanceError(FrozenError): + """ + A frozen instance has been attempted to be modified. + + .. versionadded:: 16.1.0 + """ + + +class FrozenAttributeError(FrozenError): + """ + A frozen attribute has been attempted to be modified. + + .. versionadded:: 20.1.0 + """ + + +class AttrsAttributeNotFoundError(ValueError): + """ + An *attrs* function couldn't find an attribute that the user asked for. + + .. versionadded:: 16.2.0 + """ + + +class NotAnAttrsClassError(ValueError): + """ + A non-*attrs* class has been passed into an *attrs* function. + + .. versionadded:: 16.2.0 + """ + + +class DefaultAlreadySetError(RuntimeError): + """ + A default has been set when defining the field and is attempted to be reset + using the decorator. + + .. versionadded:: 17.1.0 + """ + + +class UnannotatedAttributeError(RuntimeError): + """ + A class with ``auto_attribs=True`` has a field without a type annotation. + + .. versionadded:: 17.3.0 + """ + + +class PythonTooOldError(RuntimeError): + """ + It was attempted to use an *attrs* feature that requires a newer Python + version. + + .. versionadded:: 18.2.0 + """ + + +class NotCallableError(TypeError): + """ + A field requiring a callable has been set with a value that is not + callable. + + .. versionadded:: 19.2.0 + """ + + def __init__(self, msg, value): + super(TypeError, self).__init__(msg, value) + self.msg = msg + self.value = value + + def __str__(self): + return str(self.msg) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/exceptions.pyi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/exceptions.pyi new file mode 100644 index 0000000000000000000000000000000000000000..f2680118b404db8f5227d04d27e8439331341c4d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/exceptions.pyi @@ -0,0 +1,17 @@ +from typing import Any + +class FrozenError(AttributeError): + msg: str = ... + +class FrozenInstanceError(FrozenError): ... +class FrozenAttributeError(FrozenError): ... +class AttrsAttributeNotFoundError(ValueError): ... +class NotAnAttrsClassError(ValueError): ... +class DefaultAlreadySetError(RuntimeError): ... +class UnannotatedAttributeError(RuntimeError): ... +class PythonTooOldError(RuntimeError): ... + +class NotCallableError(TypeError): + msg: str = ... + value: Any = ... + def __init__(self, msg: str, value: Any) -> None: ... diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/filters.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/filters.py new file mode 100644 index 0000000000000000000000000000000000000000..689b1705a60ff110d6077bab996f8b4588e55b82 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/filters.py @@ -0,0 +1,72 @@ +# SPDX-License-Identifier: MIT + +""" +Commonly useful filters for `attrs.asdict` and `attrs.astuple`. +""" + +from ._make import Attribute + + +def _split_what(what): + """ + Returns a tuple of `frozenset`s of classes and attributes. + """ + return ( + frozenset(cls for cls in what if isinstance(cls, type)), + frozenset(cls for cls in what if isinstance(cls, str)), + frozenset(cls for cls in what if isinstance(cls, Attribute)), + ) + + +def include(*what): + """ + Create a filter that only allows *what*. + + Args: + what (list[type, str, attrs.Attribute]): + What to include. Can be a type, a name, or an attribute. + + Returns: + Callable: + A callable that can be passed to `attrs.asdict`'s and + `attrs.astuple`'s *filter* argument. + + .. versionchanged:: 23.1.0 Accept strings with field names. + """ + cls, names, attrs = _split_what(what) + + def include_(attribute, value): + return ( + value.__class__ in cls + or attribute.name in names + or attribute in attrs + ) + + return include_ + + +def exclude(*what): + """ + Create a filter that does **not** allow *what*. + + Args: + what (list[type, str, attrs.Attribute]): + What to exclude. Can be a type, a name, or an attribute. + + Returns: + Callable: + A callable that can be passed to `attrs.asdict`'s and + `attrs.astuple`'s *filter* argument. + + .. versionchanged:: 23.3.0 Accept field name string as input argument + """ + cls, names, attrs = _split_what(what) + + def exclude_(attribute, value): + return not ( + value.__class__ in cls + or attribute.name in names + or attribute in attrs + ) + + return exclude_ diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/filters.pyi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/filters.pyi new file mode 100644 index 0000000000000000000000000000000000000000..974abdcdb51152393d9c9e460c21aa025c45880c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/filters.pyi @@ -0,0 +1,6 @@ +from typing import Any + +from . import Attribute, _FilterType + +def include(*what: type | str | Attribute[Any]) -> _FilterType[Any]: ... +def exclude(*what: type | str | Attribute[Any]) -> _FilterType[Any]: ... diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/setters.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/setters.py new file mode 100644 index 0000000000000000000000000000000000000000..78b08398a6713fc5fa827c2dc853e0d05de743c4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/setters.py @@ -0,0 +1,79 @@ +# SPDX-License-Identifier: MIT + +""" +Commonly used hooks for on_setattr. +""" + +from . import _config +from .exceptions import FrozenAttributeError + + +def pipe(*setters): + """ + Run all *setters* and return the return value of the last one. + + .. versionadded:: 20.1.0 + """ + + def wrapped_pipe(instance, attrib, new_value): + rv = new_value + + for setter in setters: + rv = setter(instance, attrib, rv) + + return rv + + return wrapped_pipe + + +def frozen(_, __, ___): + """ + Prevent an attribute to be modified. + + .. versionadded:: 20.1.0 + """ + raise FrozenAttributeError + + +def validate(instance, attrib, new_value): + """ + Run *attrib*'s validator on *new_value* if it has one. + + .. versionadded:: 20.1.0 + """ + if _config._run_validators is False: + return new_value + + v = attrib.validator + if not v: + return new_value + + v(instance, attrib, new_value) + + return new_value + + +def convert(instance, attrib, new_value): + """ + Run *attrib*'s converter -- if it has one -- on *new_value* and return the + result. + + .. versionadded:: 20.1.0 + """ + c = attrib.converter + if c: + # This can be removed once we drop 3.8 and use attrs.Converter instead. + from ._make import Converter + + if not isinstance(c, Converter): + return c(new_value) + + return c(new_value, instance, attrib) + + return new_value + + +# Sentinel for disabling class-wide *on_setattr* hooks for certain attributes. +# Sphinx's autodata stopped working, so the docstring is inlined in the API +# docs. +NO_OP = object() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/setters.pyi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/setters.pyi new file mode 100644 index 0000000000000000000000000000000000000000..73abf36e7d5b0f5f56e7fddeee716824c1c60d58 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/setters.pyi @@ -0,0 +1,20 @@ +from typing import Any, NewType, NoReturn, TypeVar + +from . import Attribute +from attrs import _OnSetAttrType + +_T = TypeVar("_T") + +def frozen( + instance: Any, attribute: Attribute[Any], new_value: Any +) -> NoReturn: ... +def pipe(*setters: _OnSetAttrType) -> _OnSetAttrType: ... +def validate(instance: Any, attribute: Attribute[_T], new_value: _T) -> _T: ... + +# convert is allowed to return Any, because they can be chained using pipe. +def convert( + instance: Any, attribute: Attribute[Any], new_value: Any +) -> Any: ... + +_NoOpType = NewType("_NoOpType", object) +NO_OP: _NoOpType diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/validators.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/validators.py new file mode 100644 index 0000000000000000000000000000000000000000..837e003b6c2e5ce485d0b1cd19bfa398f18a8d18 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/validators.py @@ -0,0 +1,748 @@ +# SPDX-License-Identifier: MIT + +""" +Commonly useful validators. +""" + +import operator +import re + +from contextlib import contextmanager +from re import Pattern + +from ._config import get_run_validators, set_run_validators +from ._make import _AndValidator, and_, attrib, attrs +from .converters import default_if_none +from .exceptions import NotCallableError + + +__all__ = [ + "and_", + "deep_iterable", + "deep_mapping", + "disabled", + "ge", + "get_disabled", + "gt", + "in_", + "instance_of", + "is_callable", + "le", + "lt", + "matches_re", + "max_len", + "min_len", + "not_", + "optional", + "or_", + "set_disabled", +] + + +def set_disabled(disabled): + """ + Globally disable or enable running validators. + + By default, they are run. + + Args: + disabled (bool): If `True`, disable running all validators. + + .. warning:: + + This function is not thread-safe! + + .. versionadded:: 21.3.0 + """ + set_run_validators(not disabled) + + +def get_disabled(): + """ + Return a bool indicating whether validators are currently disabled or not. + + Returns: + bool:`True` if validators are currently disabled. + + .. versionadded:: 21.3.0 + """ + return not get_run_validators() + + +@contextmanager +def disabled(): + """ + Context manager that disables running validators within its context. + + .. warning:: + + This context manager is not thread-safe! + + .. versionadded:: 21.3.0 + """ + set_run_validators(False) + try: + yield + finally: + set_run_validators(True) + + +@attrs(repr=False, slots=True, unsafe_hash=True) +class _InstanceOfValidator: + type = attrib() + + def __call__(self, inst, attr, value): + """ + We use a callable class to be able to change the ``__repr__``. + """ + if not isinstance(value, self.type): + msg = f"'{attr.name}' must be {self.type!r} (got {value!r} that is a {value.__class__!r})." + raise TypeError( + msg, + attr, + self.type, + value, + ) + + def __repr__(self): + return f"" + + +def instance_of(type): + """ + A validator that raises a `TypeError` if the initializer is called with a + wrong type for this particular attribute (checks are performed using + `isinstance` therefore it's also valid to pass a tuple of types). + + Args: + type (type | tuple[type]): The type to check for. + + Raises: + TypeError: + With a human readable error message, the attribute (of type + `attrs.Attribute`), the expected type, and the value it got. + """ + return _InstanceOfValidator(type) + + +@attrs(repr=False, frozen=True, slots=True) +class _MatchesReValidator: + pattern = attrib() + match_func = attrib() + + def __call__(self, inst, attr, value): + """ + We use a callable class to be able to change the ``__repr__``. + """ + if not self.match_func(value): + msg = f"'{attr.name}' must match regex {self.pattern.pattern!r} ({value!r} doesn't)" + raise ValueError( + msg, + attr, + self.pattern, + value, + ) + + def __repr__(self): + return f"" + + +def matches_re(regex, flags=0, func=None): + r""" + A validator that raises `ValueError` if the initializer is called with a + string that doesn't match *regex*. + + Args: + regex (str, re.Pattern): + A regex string or precompiled pattern to match against + + flags (int): + Flags that will be passed to the underlying re function (default 0) + + func (typing.Callable): + Which underlying `re` function to call. Valid options are + `re.fullmatch`, `re.search`, and `re.match`; the default `None` + means `re.fullmatch`. For performance reasons, the pattern is + always precompiled using `re.compile`. + + .. versionadded:: 19.2.0 + .. versionchanged:: 21.3.0 *regex* can be a pre-compiled pattern. + """ + valid_funcs = (re.fullmatch, None, re.search, re.match) + if func not in valid_funcs: + msg = "'func' must be one of {}.".format( + ", ".join( + sorted((e and e.__name__) or "None" for e in set(valid_funcs)) + ) + ) + raise ValueError(msg) + + if isinstance(regex, Pattern): + if flags: + msg = "'flags' can only be used with a string pattern; pass flags to re.compile() instead" + raise TypeError(msg) + pattern = regex + else: + pattern = re.compile(regex, flags) + + if func is re.match: + match_func = pattern.match + elif func is re.search: + match_func = pattern.search + else: + match_func = pattern.fullmatch + + return _MatchesReValidator(pattern, match_func) + + +@attrs(repr=False, slots=True, unsafe_hash=True) +class _OptionalValidator: + validator = attrib() + + def __call__(self, inst, attr, value): + if value is None: + return + + self.validator(inst, attr, value) + + def __repr__(self): + return f"" + + +def optional(validator): + """ + A validator that makes an attribute optional. An optional attribute is one + which can be set to `None` in addition to satisfying the requirements of + the sub-validator. + + Args: + validator + (typing.Callable | tuple[typing.Callable] | list[typing.Callable]): + A validator (or validators) that is used for non-`None` values. + + .. versionadded:: 15.1.0 + .. versionchanged:: 17.1.0 *validator* can be a list of validators. + .. versionchanged:: 23.1.0 *validator* can also be a tuple of validators. + """ + if isinstance(validator, (list, tuple)): + return _OptionalValidator(_AndValidator(validator)) + + return _OptionalValidator(validator) + + +@attrs(repr=False, slots=True, unsafe_hash=True) +class _InValidator: + options = attrib() + _original_options = attrib(hash=False) + + def __call__(self, inst, attr, value): + try: + in_options = value in self.options + except TypeError: # e.g. `1 in "abc"` + in_options = False + + if not in_options: + msg = f"'{attr.name}' must be in {self._original_options!r} (got {value!r})" + raise ValueError( + msg, + attr, + self._original_options, + value, + ) + + def __repr__(self): + return f"" + + +def in_(options): + """ + A validator that raises a `ValueError` if the initializer is called with a + value that does not belong in the *options* provided. + + The check is performed using ``value in options``, so *options* has to + support that operation. + + To keep the validator hashable, dicts, lists, and sets are transparently + transformed into a `tuple`. + + Args: + options: Allowed options. + + Raises: + ValueError: + With a human readable error message, the attribute (of type + `attrs.Attribute`), the expected options, and the value it got. + + .. versionadded:: 17.1.0 + .. versionchanged:: 22.1.0 + The ValueError was incomplete until now and only contained the human + readable error message. Now it contains all the information that has + been promised since 17.1.0. + .. versionchanged:: 24.1.0 + *options* that are a list, dict, or a set are now transformed into a + tuple to keep the validator hashable. + """ + repr_options = options + if isinstance(options, (list, dict, set)): + options = tuple(options) + + return _InValidator(options, repr_options) + + +@attrs(repr=False, slots=False, unsafe_hash=True) +class _IsCallableValidator: + def __call__(self, inst, attr, value): + """ + We use a callable class to be able to change the ``__repr__``. + """ + if not callable(value): + message = ( + "'{name}' must be callable " + "(got {value!r} that is a {actual!r})." + ) + raise NotCallableError( + msg=message.format( + name=attr.name, value=value, actual=value.__class__ + ), + value=value, + ) + + def __repr__(self): + return "" + + +def is_callable(): + """ + A validator that raises a `attrs.exceptions.NotCallableError` if the + initializer is called with a value for this particular attribute that is + not callable. + + .. versionadded:: 19.1.0 + + Raises: + attrs.exceptions.NotCallableError: + With a human readable error message containing the attribute + (`attrs.Attribute`) name, and the value it got. + """ + return _IsCallableValidator() + + +@attrs(repr=False, slots=True, unsafe_hash=True) +class _DeepIterable: + member_validator = attrib(validator=is_callable()) + iterable_validator = attrib( + default=None, validator=optional(is_callable()) + ) + + def __call__(self, inst, attr, value): + """ + We use a callable class to be able to change the ``__repr__``. + """ + if self.iterable_validator is not None: + self.iterable_validator(inst, attr, value) + + for member in value: + self.member_validator(inst, attr, member) + + def __repr__(self): + iterable_identifier = ( + "" + if self.iterable_validator is None + else f" {self.iterable_validator!r}" + ) + return ( + f"" + ) + + +def deep_iterable(member_validator, iterable_validator=None): + """ + A validator that performs deep validation of an iterable. + + Args: + member_validator: Validator(s) to apply to iterable members. + + iterable_validator: + Validator(s) to apply to iterable itself (optional). + + Raises + TypeError: if any sub-validators fail + + .. versionadded:: 19.1.0 + + .. versionchanged:: 25.4.0 + *member_validator* and *iterable_validator* can now be a list or tuple + of validators. + """ + if isinstance(member_validator, (list, tuple)): + member_validator = and_(*member_validator) + if isinstance(iterable_validator, (list, tuple)): + iterable_validator = and_(*iterable_validator) + return _DeepIterable(member_validator, iterable_validator) + + +@attrs(repr=False, slots=True, unsafe_hash=True) +class _DeepMapping: + key_validator = attrib(validator=optional(is_callable())) + value_validator = attrib(validator=optional(is_callable())) + mapping_validator = attrib(validator=optional(is_callable())) + + def __call__(self, inst, attr, value): + """ + We use a callable class to be able to change the ``__repr__``. + """ + if self.mapping_validator is not None: + self.mapping_validator(inst, attr, value) + + for key in value: + if self.key_validator is not None: + self.key_validator(inst, attr, key) + if self.value_validator is not None: + self.value_validator(inst, attr, value[key]) + + def __repr__(self): + return f"" + + +def deep_mapping( + key_validator=None, value_validator=None, mapping_validator=None +): + """ + A validator that performs deep validation of a dictionary. + + All validators are optional, but at least one of *key_validator* or + *value_validator* must be provided. + + Args: + key_validator: Validator(s) to apply to dictionary keys. + + value_validator: Validator(s) to apply to dictionary values. + + mapping_validator: + Validator(s) to apply to top-level mapping attribute. + + .. versionadded:: 19.1.0 + + .. versionchanged:: 25.4.0 + *key_validator* and *value_validator* are now optional, but at least one + of them must be provided. + + .. versionchanged:: 25.4.0 + *key_validator*, *value_validator*, and *mapping_validator* can now be a + list or tuple of validators. + + Raises: + TypeError: If any sub-validator fails on validation. + + ValueError: + If neither *key_validator* nor *value_validator* is provided on + instantiation. + """ + if key_validator is None and value_validator is None: + msg = ( + "At least one of key_validator or value_validator must be provided" + ) + raise ValueError(msg) + + if isinstance(key_validator, (list, tuple)): + key_validator = and_(*key_validator) + if isinstance(value_validator, (list, tuple)): + value_validator = and_(*value_validator) + if isinstance(mapping_validator, (list, tuple)): + mapping_validator = and_(*mapping_validator) + + return _DeepMapping(key_validator, value_validator, mapping_validator) + + +@attrs(repr=False, frozen=True, slots=True) +class _NumberValidator: + bound = attrib() + compare_op = attrib() + compare_func = attrib() + + def __call__(self, inst, attr, value): + """ + We use a callable class to be able to change the ``__repr__``. + """ + if not self.compare_func(value, self.bound): + msg = f"'{attr.name}' must be {self.compare_op} {self.bound}: {value}" + raise ValueError(msg) + + def __repr__(self): + return f"" + + +def lt(val): + """ + A validator that raises `ValueError` if the initializer is called with a + number larger or equal to *val*. + + The validator uses `operator.lt` to compare the values. + + Args: + val: Exclusive upper bound for values. + + .. versionadded:: 21.3.0 + """ + return _NumberValidator(val, "<", operator.lt) + + +def le(val): + """ + A validator that raises `ValueError` if the initializer is called with a + number greater than *val*. + + The validator uses `operator.le` to compare the values. + + Args: + val: Inclusive upper bound for values. + + .. versionadded:: 21.3.0 + """ + return _NumberValidator(val, "<=", operator.le) + + +def ge(val): + """ + A validator that raises `ValueError` if the initializer is called with a + number smaller than *val*. + + The validator uses `operator.ge` to compare the values. + + Args: + val: Inclusive lower bound for values + + .. versionadded:: 21.3.0 + """ + return _NumberValidator(val, ">=", operator.ge) + + +def gt(val): + """ + A validator that raises `ValueError` if the initializer is called with a + number smaller or equal to *val*. + + The validator uses `operator.gt` to compare the values. + + Args: + val: Exclusive lower bound for values + + .. versionadded:: 21.3.0 + """ + return _NumberValidator(val, ">", operator.gt) + + +@attrs(repr=False, frozen=True, slots=True) +class _MaxLengthValidator: + max_length = attrib() + + def __call__(self, inst, attr, value): + """ + We use a callable class to be able to change the ``__repr__``. + """ + if len(value) > self.max_length: + msg = f"Length of '{attr.name}' must be <= {self.max_length}: {len(value)}" + raise ValueError(msg) + + def __repr__(self): + return f"" + + +def max_len(length): + """ + A validator that raises `ValueError` if the initializer is called + with a string or iterable that is longer than *length*. + + Args: + length (int): Maximum length of the string or iterable + + .. versionadded:: 21.3.0 + """ + return _MaxLengthValidator(length) + + +@attrs(repr=False, frozen=True, slots=True) +class _MinLengthValidator: + min_length = attrib() + + def __call__(self, inst, attr, value): + """ + We use a callable class to be able to change the ``__repr__``. + """ + if len(value) < self.min_length: + msg = f"Length of '{attr.name}' must be >= {self.min_length}: {len(value)}" + raise ValueError(msg) + + def __repr__(self): + return f"" + + +def min_len(length): + """ + A validator that raises `ValueError` if the initializer is called + with a string or iterable that is shorter than *length*. + + Args: + length (int): Minimum length of the string or iterable + + .. versionadded:: 22.1.0 + """ + return _MinLengthValidator(length) + + +@attrs(repr=False, slots=True, unsafe_hash=True) +class _SubclassOfValidator: + type = attrib() + + def __call__(self, inst, attr, value): + """ + We use a callable class to be able to change the ``__repr__``. + """ + if not issubclass(value, self.type): + msg = f"'{attr.name}' must be a subclass of {self.type!r} (got {value!r})." + raise TypeError( + msg, + attr, + self.type, + value, + ) + + def __repr__(self): + return f"" + + +def _subclass_of(type): + """ + A validator that raises a `TypeError` if the initializer is called with a + wrong type for this particular attribute (checks are performed using + `issubclass` therefore it's also valid to pass a tuple of types). + + Args: + type (type | tuple[type, ...]): The type(s) to check for. + + Raises: + TypeError: + With a human readable error message, the attribute (of type + `attrs.Attribute`), the expected type, and the value it got. + """ + return _SubclassOfValidator(type) + + +@attrs(repr=False, slots=True, unsafe_hash=True) +class _NotValidator: + validator = attrib() + msg = attrib( + converter=default_if_none( + "not_ validator child '{validator!r}' " + "did not raise a captured error" + ) + ) + exc_types = attrib( + validator=deep_iterable( + member_validator=_subclass_of(Exception), + iterable_validator=instance_of(tuple), + ), + ) + + def __call__(self, inst, attr, value): + try: + self.validator(inst, attr, value) + except self.exc_types: + pass # suppress error to invert validity + else: + raise ValueError( + self.msg.format( + validator=self.validator, + exc_types=self.exc_types, + ), + attr, + self.validator, + value, + self.exc_types, + ) + + def __repr__(self): + return f"" + + +def not_(validator, *, msg=None, exc_types=(ValueError, TypeError)): + """ + A validator that wraps and logically 'inverts' the validator passed to it. + It will raise a `ValueError` if the provided validator *doesn't* raise a + `ValueError` or `TypeError` (by default), and will suppress the exception + if the provided validator *does*. + + Intended to be used with existing validators to compose logic without + needing to create inverted variants, for example, ``not_(in_(...))``. + + Args: + validator: A validator to be logically inverted. + + msg (str): + Message to raise if validator fails. Formatted with keys + ``exc_types`` and ``validator``. + + exc_types (tuple[type, ...]): + Exception type(s) to capture. Other types raised by child + validators will not be intercepted and pass through. + + Raises: + ValueError: + With a human readable error message, the attribute (of type + `attrs.Attribute`), the validator that failed to raise an + exception, the value it got, and the expected exception types. + + .. versionadded:: 22.2.0 + """ + try: + exc_types = tuple(exc_types) + except TypeError: + exc_types = (exc_types,) + return _NotValidator(validator, msg, exc_types) + + +@attrs(repr=False, slots=True, unsafe_hash=True) +class _OrValidator: + validators = attrib() + + def __call__(self, inst, attr, value): + for v in self.validators: + try: + v(inst, attr, value) + except Exception: # noqa: BLE001, PERF203, S112 + continue + else: + return + + msg = f"None of {self.validators!r} satisfied for value {value!r}" + raise ValueError(msg) + + def __repr__(self): + return f"" + + +def or_(*validators): + """ + A validator that composes multiple validators into one. + + When called on a value, it runs all wrapped validators until one of them is + satisfied. + + Args: + validators (~collections.abc.Iterable[typing.Callable]): + Arbitrary number of validators. + + Raises: + ValueError: + If no validator is satisfied. Raised with a human-readable error + message listing all the wrapped validators and the value that + failed all of them. + + .. versionadded:: 24.1.0 + """ + vals = [] + for v in validators: + vals.extend(v.validators if isinstance(v, _OrValidator) else [v]) + + return _OrValidator(tuple(vals)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/validators.pyi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/validators.pyi new file mode 100644 index 0000000000000000000000000000000000000000..36a7e800c237f46755ddfca306f8d867a7f493db --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attr/validators.pyi @@ -0,0 +1,140 @@ +from types import UnionType +from typing import ( + Any, + AnyStr, + Callable, + Container, + ContextManager, + Iterable, + Mapping, + Match, + Pattern, + TypeVar, + overload, +) + +from attrs import _ValidatorType +from attrs import _ValidatorArgType + +_T = TypeVar("_T") +_T1 = TypeVar("_T1") +_T2 = TypeVar("_T2") +_T3 = TypeVar("_T3") +_T4 = TypeVar("_T4") +_T5 = TypeVar("_T5") +_T6 = TypeVar("_T6") +_I = TypeVar("_I", bound=Iterable) +_K = TypeVar("_K") +_V = TypeVar("_V") +_M = TypeVar("_M", bound=Mapping) + +def set_disabled(run: bool) -> None: ... +def get_disabled() -> bool: ... +def disabled() -> ContextManager[None]: ... + +# To be more precise on instance_of use some overloads. +# If there are more than 3 items in the tuple then we fall back to Any +@overload +def instance_of(type: type[_T]) -> _ValidatorType[_T]: ... +@overload +def instance_of(type: tuple[type[_T]]) -> _ValidatorType[_T]: ... +@overload +def instance_of( + type: tuple[type[_T1], type[_T2]], +) -> _ValidatorType[_T1 | _T2]: ... +@overload +def instance_of( + type: tuple[type[_T1], type[_T2], type[_T3]], +) -> _ValidatorType[_T1 | _T2 | _T3]: ... +@overload +def instance_of(type: tuple[type, ...]) -> _ValidatorType[Any]: ... +@overload +def instance_of(type: UnionType) -> _ValidatorType[Any]: ... +def optional( + validator: ( + _ValidatorType[_T] + | list[_ValidatorType[_T]] + | tuple[_ValidatorType[_T]] + ), +) -> _ValidatorType[_T | None]: ... +def in_(options: Container[_T]) -> _ValidatorType[_T]: ... +def and_(*validators: _ValidatorType[_T]) -> _ValidatorType[_T]: ... +def matches_re( + regex: Pattern[AnyStr] | AnyStr, + flags: int = ..., + func: Callable[[AnyStr, AnyStr, int], Match[AnyStr] | None] | None = ..., +) -> _ValidatorType[AnyStr]: ... +def deep_iterable( + member_validator: _ValidatorArgType[_T], + iterable_validator: _ValidatorArgType[_I] | None = ..., +) -> _ValidatorType[_I]: ... +@overload +def deep_mapping( + key_validator: _ValidatorArgType[_K], + value_validator: _ValidatorArgType[_V] | None = ..., + mapping_validator: _ValidatorArgType[_M] | None = ..., +) -> _ValidatorType[_M]: ... +@overload +def deep_mapping( + key_validator: _ValidatorArgType[_K] | None = ..., + value_validator: _ValidatorArgType[_V] = ..., + mapping_validator: _ValidatorArgType[_M] | None = ..., +) -> _ValidatorType[_M]: ... +def is_callable() -> _ValidatorType[_T]: ... +def lt(val: _T) -> _ValidatorType[_T]: ... +def le(val: _T) -> _ValidatorType[_T]: ... +def ge(val: _T) -> _ValidatorType[_T]: ... +def gt(val: _T) -> _ValidatorType[_T]: ... +def max_len(length: int) -> _ValidatorType[_T]: ... +def min_len(length: int) -> _ValidatorType[_T]: ... +def not_( + validator: _ValidatorType[_T], + *, + msg: str | None = None, + exc_types: type[Exception] | Iterable[type[Exception]] = ..., +) -> _ValidatorType[_T]: ... +@overload +def or_( + __v1: _ValidatorType[_T1], + __v2: _ValidatorType[_T2], +) -> _ValidatorType[_T1 | _T2]: ... +@overload +def or_( + __v1: _ValidatorType[_T1], + __v2: _ValidatorType[_T2], + __v3: _ValidatorType[_T3], +) -> _ValidatorType[_T1 | _T2 | _T3]: ... +@overload +def or_( + __v1: _ValidatorType[_T1], + __v2: _ValidatorType[_T2], + __v3: _ValidatorType[_T3], + __v4: _ValidatorType[_T4], +) -> _ValidatorType[_T1 | _T2 | _T3 | _T4]: ... +@overload +def or_( + __v1: _ValidatorType[_T1], + __v2: _ValidatorType[_T2], + __v3: _ValidatorType[_T3], + __v4: _ValidatorType[_T4], + __v5: _ValidatorType[_T5], +) -> _ValidatorType[_T1 | _T2 | _T3 | _T4 | _T5]: ... +@overload +def or_( + __v1: _ValidatorType[_T1], + __v2: _ValidatorType[_T2], + __v3: _ValidatorType[_T3], + __v4: _ValidatorType[_T4], + __v5: _ValidatorType[_T5], + __v6: _ValidatorType[_T6], +) -> _ValidatorType[_T1 | _T2 | _T3 | _T4 | _T5 | _T6]: ... +@overload +def or_( + __v1: _ValidatorType[Any], + __v2: _ValidatorType[Any], + __v3: _ValidatorType[Any], + __v4: _ValidatorType[Any], + __v5: _ValidatorType[Any], + __v6: _ValidatorType[Any], + *validators: _ValidatorType[Any], +) -> _ValidatorType[Any]: ... diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..51128bb96f0b8fa07656422e8099343cfdadd4cd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/METADATA @@ -0,0 +1,235 @@ +Metadata-Version: 2.4 +Name: attrs +Version: 25.4.0 +Summary: Classes Without Boilerplate +Project-URL: Documentation, https://www.attrs.org/ +Project-URL: Changelog, https://www.attrs.org/en/stable/changelog.html +Project-URL: GitHub, https://github.com/python-attrs/attrs +Project-URL: Funding, https://github.com/sponsors/hynek +Project-URL: Tidelift, https://tidelift.com/subscription/pkg/pypi-attrs?utm_source=pypi-attrs&utm_medium=pypi +Author-email: Hynek Schlawack +License-Expression: MIT +License-File: LICENSE +Keywords: attribute,boilerplate,class +Classifier: Development Status :: 5 - Production/Stable +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: 3.14 +Classifier: Programming Language :: Python :: Implementation :: CPython +Classifier: Programming Language :: Python :: Implementation :: PyPy +Classifier: Typing :: Typed +Requires-Python: >=3.9 +Description-Content-Type: text/markdown + +

        + + attrs + +

        + + +*attrs* is the Python package that will bring back the **joy** of **writing classes** by relieving you from the drudgery of implementing object protocols (aka [dunder methods](https://www.attrs.org/en/latest/glossary.html#term-dunder-methods)). +Trusted by NASA for [Mars missions since 2020](https://github.com/readme/featured/nasa-ingenuity-helicopter)! + +Its main goal is to help you to write **concise** and **correct** software without slowing down your code. + + +## Sponsors + +*attrs* would not be possible without our [amazing sponsors](https://github.com/sponsors/hynek). +Especially those generously supporting us at the *The Organization* tier and higher: + + + +

        + + + + + + + + + +

        + + + +

        + Please consider joining them to help make attrs’s maintenance more sustainable! +

        + + + +## Example + +*attrs* gives you a class decorator and a way to declaratively define the attributes on that class: + + + +```pycon +>>> from attrs import asdict, define, make_class, Factory + +>>> @define +... class SomeClass: +... a_number: int = 42 +... list_of_numbers: list[int] = Factory(list) +... +... def hard_math(self, another_number): +... return self.a_number + sum(self.list_of_numbers) * another_number + + +>>> sc = SomeClass(1, [1, 2, 3]) +>>> sc +SomeClass(a_number=1, list_of_numbers=[1, 2, 3]) + +>>> sc.hard_math(3) +19 +>>> sc == SomeClass(1, [1, 2, 3]) +True +>>> sc != SomeClass(2, [3, 2, 1]) +True + +>>> asdict(sc) +{'a_number': 1, 'list_of_numbers': [1, 2, 3]} + +>>> SomeClass() +SomeClass(a_number=42, list_of_numbers=[]) + +>>> C = make_class("C", ["a", "b"]) +>>> C("foo", "bar") +C(a='foo', b='bar') +``` + +After *declaring* your attributes, *attrs* gives you: + +- a concise and explicit overview of the class's attributes, +- a nice human-readable `__repr__`, +- equality-checking methods, +- an initializer, +- and much more, + +*without* writing dull boilerplate code again and again and *without* runtime performance penalties. + +--- + +This example uses *attrs*'s modern APIs that have been introduced in version 20.1.0, and the *attrs* package import name that has been added in version 21.3.0. +The classic APIs (`@attr.s`, `attr.ib`, plus their serious-business aliases) and the `attr` package import name will remain **indefinitely**. + +Check out [*On The Core API Names*](https://www.attrs.org/en/latest/names.html) for an in-depth explanation! + + +### Hate Type Annotations!? + +No problem! +Types are entirely **optional** with *attrs*. +Simply assign `attrs.field()` to the attributes instead of annotating them with types: + +```python +from attrs import define, field + +@define +class SomeClass: + a_number = field(default=42) + list_of_numbers = field(factory=list) +``` + + +## Data Classes + +On the tin, *attrs* might remind you of `dataclasses` (and indeed, `dataclasses` [are a descendant](https://hynek.me/articles/import-attrs/) of *attrs*). +In practice it does a lot more and is more flexible. +For instance, it allows you to define [special handling of NumPy arrays for equality checks](https://www.attrs.org/en/stable/comparison.html#customization), allows more ways to [plug into the initialization process](https://www.attrs.org/en/stable/init.html#hooking-yourself-into-initialization), has a replacement for `__init_subclass__`, and allows for stepping through the generated methods using a debugger. + +For more details, please refer to our [comparison page](https://www.attrs.org/en/stable/why.html#data-classes), but generally speaking, we are more likely to commit crimes against nature to make things work that one would expect to work, but that are quite complicated in practice. + + +## Project Information + +- [**Changelog**](https://www.attrs.org/en/stable/changelog.html) +- [**Documentation**](https://www.attrs.org/) +- [**PyPI**](https://pypi.org/project/attrs/) +- [**Source Code**](https://github.com/python-attrs/attrs) +- [**Contributing**](https://github.com/python-attrs/attrs/blob/main/.github/CONTRIBUTING.md) +- [**Third-party Extensions**](https://github.com/python-attrs/attrs/wiki/Extensions-to-attrs) +- **Get Help**: use the `python-attrs` tag on [Stack Overflow](https://stackoverflow.com/questions/tagged/python-attrs) + + +### *attrs* for Enterprise + +Available as part of the [Tidelift Subscription](https://tidelift.com/?utm_source=lifter&utm_medium=referral&utm_campaign=hynek). + +The maintainers of *attrs* and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source packages you use to build your applications. +Save time, reduce risk, and improve code health, while paying the maintainers of the exact packages you use. + +## Release Information + +### Backwards-incompatible Changes + +- Class-level `kw_only=True` behavior is now consistent with `dataclasses`. + + Previously, a class that sets `kw_only=True` makes all attributes keyword-only, including those from base classes. + If an attribute sets `kw_only=False`, that setting is ignored, and it is still made keyword-only. + + Now, only the attributes defined in that class that doesn't explicitly set `kw_only=False` are made keyword-only. + + This shouldn't be a problem for most users, unless you have a pattern like this: + + ```python + @attrs.define(kw_only=True) + class Base: + a: int + b: int = attrs.field(default=1, kw_only=False) + + @attrs.define + class Subclass(Base): + c: int + ``` + + Here, we have a `kw_only=True` *attrs* class (`Base`) with an attribute that sets `kw_only=False` and has a default (`Base.b`), and then create a subclass (`Subclass`) with required arguments (`Subclass.c`). + Previously this would work, since it would make `Base.b` keyword-only, but now this fails since `Base.b` is positional, and we have a required positional argument (`Subclass.c`) following another argument with defaults. + [#1457](https://github.com/python-attrs/attrs/issues/1457) + + +### Changes + +- Values passed to the `__init__()` method of `attrs` classes are now correctly passed to `__attrs_pre_init__()` instead of their default values (in cases where *kw_only* was not specified). + [#1427](https://github.com/python-attrs/attrs/issues/1427) +- Added support for Python 3.14 and [PEP 749](https://peps.python.org/pep-0749/). + [#1446](https://github.com/python-attrs/attrs/issues/1446), + [#1451](https://github.com/python-attrs/attrs/issues/1451) +- `attrs.validators.deep_mapping()` now allows to leave out either *key_validator* xor *value_validator*. + [#1448](https://github.com/python-attrs/attrs/issues/1448) +- `attrs.validators.deep_iterator()` and `attrs.validators.deep_mapping()` now accept lists and tuples for all validators and wrap them into a `attrs.validators.and_()`. + [#1449](https://github.com/python-attrs/attrs/issues/1449) +- Added a new **experimental** way to inspect classes: + + `attrs.inspect(cls)` returns the _effective_ class-wide parameters that were used by *attrs* to construct the class. + + The returned class is the same data structure that *attrs* uses internally to decide how to construct the final class. + [#1454](https://github.com/python-attrs/attrs/issues/1454) +- Fixed annotations for `attrs.field(converter=...)`. + Previously, a `tuple` of converters was only accepted if it had exactly one element. + [#1461](https://github.com/python-attrs/attrs/issues/1461) +- The performance of `attrs.asdict()` has been improved by 45–260%. + [#1463](https://github.com/python-attrs/attrs/issues/1463) +- The performance of `attrs.astuple()` has been improved by 49–270%. + [#1469](https://github.com/python-attrs/attrs/issues/1469) +- The type annotation for `attrs.validators.or_()` now allows for different types of validators. + + This was only an issue on Pyright. + [#1474](https://github.com/python-attrs/attrs/issues/1474) + + + +--- + +[Full changelog →](https://www.attrs.org/en/stable/changelog.html) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..ddbaae0a27cfe9a3fbb94b61312408bd7f29ade6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/RECORD @@ -0,0 +1,55 @@ +attr/__init__.py,sha256=fOYIvt1eGSqQre4uCS3sJWKZ0mwAuC8UD6qba5OS9_U,2057 +attr/__init__.pyi,sha256=IZkzIjvtbRqDWGkDBIF9dd12FgDa379JYq3GHnVOvFQ,11309 +attr/__pycache__/__init__.cpython-310.pyc,, +attr/__pycache__/_cmp.cpython-310.pyc,, +attr/__pycache__/_compat.cpython-310.pyc,, +attr/__pycache__/_config.cpython-310.pyc,, 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a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/licenses/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..2bd6453d255e19b973f19b128596a8b6dd65b2c3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs-25.4.0.dist-info/licenses/LICENSE @@ -0,0 +1,21 @@ +The MIT License (MIT) + +Copyright (c) 2015 Hynek Schlawack and the attrs contributors + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..dc1ce4b974ea1b3971ced44e3e112e897cf29b0a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/__init__.py @@ -0,0 +1,72 @@ +# SPDX-License-Identifier: MIT + +from attr import ( + NOTHING, + Attribute, + AttrsInstance, + Converter, + Factory, + NothingType, + _make_getattr, + assoc, + cmp_using, + define, + evolve, + field, + fields, + fields_dict, + frozen, + has, + make_class, + mutable, + resolve_types, + validate, +) +from attr._make import ClassProps +from attr._next_gen import asdict, astuple, inspect + +from . import converters, exceptions, filters, setters, validators + + +__all__ = [ + "NOTHING", + "Attribute", + "AttrsInstance", + "ClassProps", + "Converter", + "Factory", + "NothingType", + "__author__", + "__copyright__", + "__description__", + "__doc__", + "__email__", + "__license__", + "__title__", + "__url__", + "__version__", + "__version_info__", + "asdict", + "assoc", + "astuple", + "cmp_using", + "converters", + "define", + "evolve", + "exceptions", + "field", + "fields", + "fields_dict", + "filters", + "frozen", + "has", + "inspect", + "make_class", + "mutable", + "resolve_types", + "setters", + "validate", + "validators", +] + +__getattr__ = _make_getattr(__name__) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/__init__.pyi b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/__init__.pyi new file mode 100644 index 0000000000000000000000000000000000000000..6364bac4ea29f860934803e5f3ba741812c6dfd1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/__init__.pyi @@ -0,0 +1,314 @@ +import sys + +from typing import ( + Any, + Callable, + Mapping, + Sequence, + overload, + TypeVar, +) + +# Because we need to type our own stuff, we have to make everything from +# attr explicitly public too. +from attr import __author__ as __author__ +from attr import __copyright__ as __copyright__ +from attr import __description__ as __description__ +from attr import __email__ as __email__ +from attr import __license__ as __license__ +from attr import __title__ as __title__ +from attr import __url__ as __url__ +from attr import __version__ as __version__ +from attr import __version_info__ as __version_info__ +from attr import assoc as assoc +from attr import Attribute as Attribute +from attr import AttrsInstance as AttrsInstance +from attr import cmp_using as cmp_using +from attr import converters as converters +from attr import Converter as Converter +from attr import evolve as evolve +from attr import exceptions as exceptions +from attr import Factory as Factory +from attr import fields as fields +from attr import fields_dict as fields_dict +from attr import filters as filters +from attr import has as has +from attr import make_class as make_class +from attr import NOTHING as NOTHING +from attr import resolve_types as resolve_types +from attr import setters as setters +from attr import validate as validate +from attr import validators as validators +from attr import attrib, asdict as asdict, astuple as astuple +from attr import NothingType as NothingType + +if sys.version_info >= (3, 11): + from typing import dataclass_transform +else: + from typing_extensions import dataclass_transform + +_T = TypeVar("_T") +_C = TypeVar("_C", bound=type) + +_EqOrderType = bool | Callable[[Any], Any] +_ValidatorType = Callable[[Any, "Attribute[_T]", _T], Any] +_CallableConverterType = Callable[[Any], Any] +_ConverterType = _CallableConverterType | Converter[Any, Any] +_ReprType = Callable[[Any], str] +_ReprArgType = bool | _ReprType +_OnSetAttrType = Callable[[Any, "Attribute[Any]", Any], Any] +_OnSetAttrArgType = _OnSetAttrType | list[_OnSetAttrType] | setters._NoOpType +_FieldTransformer = Callable[ + [type, list["Attribute[Any]"]], list["Attribute[Any]"] +] +# FIXME: in reality, if multiple validators are passed they must be in a list +# or tuple, but those are invariant and so would prevent subtypes of +# _ValidatorType from working when passed in a list or tuple. +_ValidatorArgType = _ValidatorType[_T] | Sequence[_ValidatorType[_T]] + +@overload +def field( + *, + default: None = ..., + validator: None = ..., + repr: _ReprArgType = ..., + hash: bool | None = ..., + init: bool = ..., + metadata: Mapping[Any, Any] | None = ..., + converter: None = ..., + factory: None = ..., + kw_only: bool | None = ..., + eq: bool | None = ..., + order: bool | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + alias: str | None = ..., + type: type | None = ..., +) -> Any: ... + +# This form catches an explicit None or no default and infers the type from the +# other arguments. +@overload +def field( + *, + default: None = ..., + validator: _ValidatorArgType[_T] | None = ..., + repr: _ReprArgType = ..., + hash: bool | None = ..., + init: bool = ..., + metadata: Mapping[Any, Any] | None = ..., + converter: _ConverterType + | list[_ConverterType] + | tuple[_ConverterType, ...] + | None = ..., + factory: Callable[[], _T] | None = ..., + kw_only: bool | None = ..., + eq: _EqOrderType | None = ..., + order: _EqOrderType | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + alias: str | None = ..., + type: type | None = ..., +) -> _T: ... + +# This form catches an explicit default argument. +@overload +def field( + *, + default: _T, + validator: _ValidatorArgType[_T] | None = ..., + repr: _ReprArgType = ..., + hash: bool | None = ..., + init: bool = ..., + metadata: Mapping[Any, Any] | None = ..., + converter: _ConverterType + | list[_ConverterType] + | tuple[_ConverterType, ...] + | None = ..., + factory: Callable[[], _T] | None = ..., + kw_only: bool | None = ..., + eq: _EqOrderType | None = ..., + order: _EqOrderType | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + alias: str | None = ..., + type: type | None = ..., +) -> _T: ... + +# This form covers type=non-Type: e.g. forward references (str), Any +@overload +def field( + *, + default: _T | None = ..., + validator: _ValidatorArgType[_T] | None = ..., + repr: _ReprArgType = ..., + hash: bool | None = ..., + init: bool = ..., + metadata: Mapping[Any, Any] | None = ..., + converter: _ConverterType + | list[_ConverterType] + | tuple[_ConverterType, ...] + | None = ..., + factory: Callable[[], _T] | None = ..., + kw_only: bool | None = ..., + eq: _EqOrderType | None = ..., + order: _EqOrderType | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + alias: str | None = ..., + type: type | None = ..., +) -> Any: ... +@overload +@dataclass_transform(field_specifiers=(attrib, field)) +def define( + maybe_cls: _C, + *, + these: dict[str, Any] | None = ..., + repr: bool = ..., + unsafe_hash: bool | None = ..., + hash: bool | None = ..., + init: bool = ..., + slots: bool = ..., + frozen: bool = ..., + weakref_slot: bool = ..., + str: bool = ..., + auto_attribs: bool = ..., + kw_only: bool = ..., + cache_hash: bool = ..., + auto_exc: bool = ..., + eq: bool | None = ..., + order: bool | None = ..., + auto_detect: bool = ..., + getstate_setstate: bool | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + field_transformer: _FieldTransformer | None = ..., + match_args: bool = ..., +) -> _C: ... +@overload +@dataclass_transform(field_specifiers=(attrib, field)) +def define( + maybe_cls: None = ..., + *, + these: dict[str, Any] | None = ..., + repr: bool = ..., + unsafe_hash: bool | None = ..., + hash: bool | None = ..., + init: bool = ..., + slots: bool = ..., + frozen: bool = ..., + weakref_slot: bool = ..., + str: bool = ..., + auto_attribs: bool = ..., + kw_only: bool = ..., + cache_hash: bool = ..., + auto_exc: bool = ..., + eq: bool | None = ..., + order: bool | None = ..., + auto_detect: bool = ..., + getstate_setstate: bool | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + field_transformer: _FieldTransformer | None = ..., + match_args: bool = ..., +) -> Callable[[_C], _C]: ... + +mutable = define + +@overload +@dataclass_transform(frozen_default=True, field_specifiers=(attrib, field)) +def frozen( + maybe_cls: _C, + *, + these: dict[str, Any] | None = ..., + repr: bool = ..., + unsafe_hash: bool | None = ..., + hash: bool | None = ..., + init: bool = ..., + slots: bool = ..., + frozen: bool = ..., + weakref_slot: bool = ..., + str: bool = ..., + auto_attribs: bool = ..., + kw_only: bool = ..., + cache_hash: bool = ..., + auto_exc: bool = ..., + eq: bool | None = ..., + order: bool | None = ..., + auto_detect: bool = ..., + getstate_setstate: bool | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + field_transformer: _FieldTransformer | None = ..., + match_args: bool = ..., +) -> _C: ... +@overload +@dataclass_transform(frozen_default=True, field_specifiers=(attrib, field)) +def frozen( + maybe_cls: None = ..., + *, + these: dict[str, Any] | None = ..., + repr: bool = ..., + unsafe_hash: bool | None = ..., + hash: bool | None = ..., + init: bool = ..., + slots: bool = ..., + frozen: bool = ..., + weakref_slot: bool = ..., + str: bool = ..., + auto_attribs: bool = ..., + kw_only: bool = ..., + cache_hash: bool = ..., + auto_exc: bool = ..., + eq: bool | None = ..., + order: bool | None = ..., + auto_detect: bool = ..., + getstate_setstate: bool | None = ..., + on_setattr: _OnSetAttrArgType | None = ..., + field_transformer: _FieldTransformer | None = ..., + match_args: bool = ..., +) -> Callable[[_C], _C]: ... + +class ClassProps: + # XXX: somehow when defining/using enums Mypy starts looking at our own + # (untyped) code and causes tons of errors. + Hashability: Any + KeywordOnly: Any + + is_exception: bool + is_slotted: bool + has_weakref_slot: bool + is_frozen: bool + # kw_only: ClassProps.KeywordOnly + kw_only: Any + collected_fields_by_mro: bool + added_init: bool + added_repr: bool + added_eq: bool + added_ordering: bool + # hashability: ClassProps.Hashability + hashability: Any + added_match_args: bool + added_str: bool + added_pickling: bool + on_setattr_hook: _OnSetAttrType | None + field_transformer: Callable[[Attribute[Any]], Attribute[Any]] | None + + def __init__( + self, + is_exception: bool, + is_slotted: bool, + has_weakref_slot: bool, + is_frozen: bool, + # kw_only: ClassProps.KeywordOnly + kw_only: Any, + collected_fields_by_mro: bool, + added_init: bool, + added_repr: bool, + added_eq: bool, + added_ordering: bool, + # hashability: ClassProps.Hashability + hashability: Any, + added_match_args: bool, + added_str: bool, + added_pickling: bool, + on_setattr_hook: _OnSetAttrType, + field_transformer: Callable[[Attribute[Any]], Attribute[Any]], + ) -> None: ... + @property + def is_hashable(self) -> bool: ... + +def inspect(cls: type) -> ClassProps: ... diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/converters.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/converters.py new file mode 100644 index 0000000000000000000000000000000000000000..7821f6c02cca81277d1ecc87b6bdafad886d8b70 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/converters.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: MIT + +from attr.converters import * # noqa: F403 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/exceptions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..3323f9d2112c54b203763d45b455bd5abbe020f6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/exceptions.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: MIT + +from attr.exceptions import * # noqa: F403 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/filters.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/filters.py new file mode 100644 index 0000000000000000000000000000000000000000..3080f48398e5ed8d3428ca3efeb7500633b0cb0f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/filters.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: MIT + +from attr.filters import * # noqa: F403 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/setters.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/setters.py new file mode 100644 index 0000000000000000000000000000000000000000..f3d73bb793dd49c138950961f41943bb26c57fde --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/setters.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: MIT + +from attr.setters import * # noqa: F403 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/validators.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/validators.py new file mode 100644 index 0000000000000000000000000000000000000000..037e124f29f32d37c1642d159bf828de44f7c349 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/attrs/validators.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: MIT + +from attr.validators import * # noqa: F403 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..d1bc526a9775f95fa2c73b15fc2b3444f341ecd7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/METADATA @@ -0,0 +1,78 @@ +Metadata-Version: 2.4 +Name: certifi +Version: 2026.1.4 +Summary: Python package for providing Mozilla's CA Bundle. +Home-page: https://github.com/certifi/python-certifi +Author: Kenneth Reitz +Author-email: me@kennethreitz.com +License: MPL-2.0 +Project-URL: Source, https://github.com/certifi/python-certifi +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0) +Classifier: Natural Language :: English +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3 :: Only +Classifier: Programming Language :: Python :: 3.7 +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: 3.14 +Requires-Python: >=3.7 +License-File: LICENSE +Dynamic: author +Dynamic: author-email +Dynamic: classifier +Dynamic: description +Dynamic: home-page +Dynamic: license +Dynamic: license-file +Dynamic: project-url +Dynamic: requires-python +Dynamic: summary + +Certifi: Python SSL Certificates +================================ + +Certifi provides Mozilla's carefully curated collection of Root Certificates for +validating the trustworthiness of SSL certificates while verifying the identity +of TLS hosts. It has been extracted from the `Requests`_ project. + +Installation +------------ + +``certifi`` is available on PyPI. Simply install it with ``pip``:: + + $ pip install certifi + +Usage +----- + +To reference the installed certificate authority (CA) bundle, you can use the +built-in function:: + + >>> import certifi + + >>> certifi.where() + '/usr/local/lib/python3.7/site-packages/certifi/cacert.pem' + +Or from the command line:: + + $ python -m certifi + /usr/local/lib/python3.7/site-packages/certifi/cacert.pem + +Enjoy! + +.. _`Requests`: https://requests.readthedocs.io/en/master/ + +Addition/Removal of Certificates +-------------------------------- + +Certifi does not support any addition/removal or other modification of the +CA trust store content. This project is intended to provide a reliable and +highly portable root of trust to python deployments. Look to upstream projects +for methods to use alternate trust. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..5be66f1e4d7821971bd07b41d960ae5b230b024c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/RECORD @@ -0,0 +1,14 @@ +certifi-2026.1.4.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +certifi-2026.1.4.dist-info/METADATA,sha256=FSfJEfKuMo6bJlofUrtRpn4PFTYtbYyXpHN_A3ZFpIY,2473 +certifi-2026.1.4.dist-info/RECORD,, +certifi-2026.1.4.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91 +certifi-2026.1.4.dist-info/licenses/LICENSE,sha256=6TcW2mucDVpKHfYP5pWzcPBpVgPSH2-D8FPkLPwQyvc,989 +certifi-2026.1.4.dist-info/top_level.txt,sha256=KMu4vUCfsjLrkPbSNdgdekS-pVJzBAJFO__nI8NF6-U,8 +certifi/__init__.py,sha256=969deMMS7Uchipr0oO4dbRBUvRi0uNYCn07VmG1aTrg,94 +certifi/__main__.py,sha256=xBBoj905TUWBLRGANOcf7oi6e-3dMP4cEoG9OyMs11g,243 +certifi/__pycache__/__init__.cpython-310.pyc,, +certifi/__pycache__/__main__.cpython-310.pyc,, +certifi/__pycache__/core.cpython-310.pyc,, +certifi/cacert.pem,sha256=Tzl1_zCrvzVEO0hgZK6Ly0Hf9wf_31dsdtKS-0WKoKk,270954 +certifi/core.py,sha256=XFXycndG5pf37ayeF8N32HUuDafsyhkVMbO4BAPWHa0,3394 +certifi/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/WHEEL b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..e7fa31b6f3f78deb1022c1f7927f07d4d16da822 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/WHEEL @@ -0,0 +1,5 @@ +Wheel-Version: 1.0 +Generator: setuptools (80.9.0) +Root-Is-Purelib: true +Tag: py3-none-any + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/licenses/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..62b076cdee58ec8f34034141ba0befd9015b0c7e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/licenses/LICENSE @@ -0,0 +1,20 @@ +This package contains a modified version of ca-bundle.crt: + +ca-bundle.crt -- Bundle of CA Root Certificates + +This is a bundle of X.509 certificates of public Certificate Authorities +(CA). These were automatically extracted from Mozilla's root certificates +file (certdata.txt). This file can be found in the mozilla source tree: +https://hg.mozilla.org/mozilla-central/file/tip/security/nss/lib/ckfw/builtins/certdata.txt +It contains the certificates in PEM format and therefore +can be directly used with curl / libcurl / php_curl, or with +an Apache+mod_ssl webserver for SSL client authentication. +Just configure this file as the SSLCACertificateFile.# + +***** BEGIN LICENSE BLOCK ***** +This Source Code Form is subject to the terms of the Mozilla Public License, +v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain +one at http://mozilla.org/MPL/2.0/. + +***** END LICENSE BLOCK ***** +@(#) $RCSfile: certdata.txt,v $ $Revision: 1.80 $ $Date: 2011/11/03 15:11:58 $ diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/top_level.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..963eac530b9bc28d704d1bc410299c68e3216d4d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi-2026.1.4.dist-info/top_level.txt @@ -0,0 +1 @@ +certifi diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..090fd58487b7ea8176a57024a478435720515486 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/__init__.py @@ -0,0 +1,4 @@ +from .core import contents, where + +__all__ = ["contents", "where"] +__version__ = "2026.01.04" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/__main__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/__main__.py new file mode 100644 index 0000000000000000000000000000000000000000..8945b5da857f4a7dec2b84f1225f012f6098418c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/__main__.py @@ -0,0 +1,12 @@ +import argparse + +from certifi import contents, where + +parser = argparse.ArgumentParser() +parser.add_argument("-c", "--contents", action="store_true") +args = parser.parse_args() + +if args.contents: + print(contents()) +else: + print(where()) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/cacert.pem b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/cacert.pem new file mode 100644 index 0000000000000000000000000000000000000000..132db0df1b87e4d6b4519f362c82b01467d5d2e8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/cacert.pem @@ -0,0 +1,4468 @@ + +# Issuer: CN=QuoVadis Root CA 2 O=QuoVadis Limited +# Subject: CN=QuoVadis Root CA 2 O=QuoVadis Limited +# Label: "QuoVadis Root CA 2" +# Serial: 1289 +# MD5 Fingerprint: 5e:39:7b:dd:f8:ba:ec:82:e9:ac:62:ba:0c:54:00:2b +# SHA1 Fingerprint: ca:3a:fb:cf:12:40:36:4b:44:b2:16:20:88:80:48:39:19:93:7c:f7 +# SHA256 Fingerprint: 85:a0:dd:7d:d7:20:ad:b7:ff:05:f8:3d:54:2b:20:9d:c7:ff:45:28:f7:d6:77:b1:83:89:fe:a5:e5:c4:9e:86 +-----BEGIN CERTIFICATE----- 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Subject: CN=DigiCert Assured ID Root CA O=DigiCert Inc OU=www.digicert.com +# Label: "DigiCert Assured ID Root CA" +# Serial: 17154717934120587862167794914071425081 +# MD5 Fingerprint: 87:ce:0b:7b:2a:0e:49:00:e1:58:71:9b:37:a8:93:72 +# SHA1 Fingerprint: 05:63:b8:63:0d:62:d7:5a:bb:c8:ab:1e:4b:df:b5:a8:99:b2:4d:43 +# SHA256 Fingerprint: 3e:90:99:b5:01:5e:8f:48:6c:00:bc:ea:9d:11:1e:e7:21:fa:ba:35:5a:89:bc:f1:df:69:56:1e:3d:c6:32:5c +-----BEGIN CERTIFICATE----- +MIIDtzCCAp+gAwIBAgIQDOfg5RfYRv6P5WD8G/AwOTANBgkqhkiG9w0BAQUFADBl +MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3 +d3cuZGlnaWNlcnQuY29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJv +b3QgQ0EwHhcNMDYxMTEwMDAwMDAwWhcNMzExMTEwMDAwMDAwWjBlMQswCQYDVQQG +EwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cuZGlnaWNl +cnQuY29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJvb3QgQ0EwggEi +MA0GCSqGSIb3DQEBAQUAA4IBDwAwggEKAoIBAQCtDhXO5EOAXLGH87dg+XESpa7c +JpSIqvTO9SA5KFhgDPiA2qkVlTJhPLWxKISKityfCgyDF3qPkKyK53lTXDGEKvYP 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CERTIFICATE----- + +# Issuer: CN=COMODO Certification Authority O=COMODO CA Limited +# Subject: CN=COMODO Certification Authority O=COMODO CA Limited +# Label: "COMODO Certification Authority" +# Serial: 104350513648249232941998508985834464573 +# MD5 Fingerprint: 5c:48:dc:f7:42:72:ec:56:94:6d:1c:cc:71:35:80:75 +# SHA1 Fingerprint: 66:31:bf:9e:f7:4f:9e:b6:c9:d5:a6:0c:ba:6a:be:d1:f7:bd:ef:7b +# SHA256 Fingerprint: 0c:2c:d6:3d:f7:80:6f:a3:99:ed:e8:09:11:6b:57:5b:f8:79:89:f0:65:18:f9:80:8c:86:05:03:17:8b:af:66 +-----BEGIN CERTIFICATE----- +MIIEHTCCAwWgAwIBAgIQToEtioJl4AsC7j41AkblPTANBgkqhkiG9w0BAQUFADCB +gTELMAkGA1UEBhMCR0IxGzAZBgNVBAgTEkdyZWF0ZXIgTWFuY2hlc3RlcjEQMA4G +A1UEBxMHU2FsZm9yZDEaMBgGA1UEChMRQ09NT0RPIENBIExpbWl0ZWQxJzAlBgNV +BAMTHkNPTU9ETyBDZXJ0aWZpY2F0aW9uIEF1dGhvcml0eTAeFw0wNjEyMDEwMDAw +MDBaFw0yOTEyMzEyMzU5NTlaMIGBMQswCQYDVQQGEwJHQjEbMBkGA1UECBMSR3Jl +YXRlciBNYW5jaGVzdGVyMRAwDgYDVQQHEwdTYWxmb3JkMRowGAYDVQQKExFDT01P 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+-----BEGIN CERTIFICATE----- +MIIDqDCCApCgAwIBAgIJAP7c4wEPyUj/MA0GCSqGSIb3DQEBBQUAMDQxCzAJBgNV +BAYTAkZSMRIwEAYDVQQKDAlEaGlteW90aXMxETAPBgNVBAMMCENlcnRpZ25hMB4X +DTA3MDYyOTE1MTMwNVoXDTI3MDYyOTE1MTMwNVowNDELMAkGA1UEBhMCRlIxEjAQ +BgNVBAoMCURoaW15b3RpczERMA8GA1UEAwwIQ2VydGlnbmEwggEiMA0GCSqGSIb3 +DQEBAQUAA4IBDwAwggEKAoIBAQDIaPHJ1tazNHUmgh7stL7qXOEm7RFHYeGifBZ4 +QCHkYJ5ayGPhxLGWkv8YbWkj4Sti993iNi+RB7lIzw7sebYs5zRLcAglozyHGxny +gQcPOJAZ0xH+hrTy0V4eHpbNgGzOOzGTtvKg0KmVEn2lmsxryIRWijOp5yIVUxbw +zBfsV1/pogqYCd7jX5xv3EjjhQsVWqa6n6xI4wmy9/Qy3l40vhx4XUJbzg4ij02Q +130yGLMLLGq/jj8UEYkgDncUtT2UCIf3JR7VsmAA7G8qKCVuKj4YYxclPz5EIBb2 +JsglrgVKtOdjLPOMFlN+XPsRGgjBRmKfIrjxwo1p3Po6WAbfAgMBAAGjgbwwgbkw +DwYDVR0TAQH/BAUwAwEB/zAdBgNVHQ4EFgQUGu3+QTmQtCRZvgHyUtVF9lo53BEw +ZAYDVR0jBF0wW4AUGu3+QTmQtCRZvgHyUtVF9lo53BGhOKQ2MDQxCzAJBgNVBAYT +AkZSMRIwEAYDVQQKDAlEaGlteW90aXMxETAPBgNVBAMMCENlcnRpZ25hggkA/tzj +AQ/JSP8wDgYDVR0PAQH/BAQDAgEGMBEGCWCGSAGG+EIBAQQEAwIABzANBgkqhkiG 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OU=ePKI Root Certification Authority +# Subject: O=Chunghwa Telecom Co., Ltd. OU=ePKI Root Certification Authority +# Label: "ePKI Root Certification Authority" +# Serial: 28956088682735189655030529057352760477 +# MD5 Fingerprint: 1b:2e:00:ca:26:06:90:3d:ad:fe:6f:15:68:d3:6b:b3 +# SHA1 Fingerprint: 67:65:0d:f1:7e:8e:7e:5b:82:40:a4:f4:56:4b:cf:e2:3d:69:c6:f0 +# SHA256 Fingerprint: c0:a6:f4:dc:63:a2:4b:fd:cf:54:ef:2a:6a:08:2a:0a:72:de:35:80:3e:2f:f5:ff:52:7a:e5:d8:72:06:df:d5 +-----BEGIN CERTIFICATE----- +MIIFsDCCA5igAwIBAgIQFci9ZUdcr7iXAF7kBtK8nTANBgkqhkiG9w0BAQUFADBe +MQswCQYDVQQGEwJUVzEjMCEGA1UECgwaQ2h1bmdod2EgVGVsZWNvbSBDby4sIEx0 +ZC4xKjAoBgNVBAsMIWVQS0kgUm9vdCBDZXJ0aWZpY2F0aW9uIEF1dGhvcml0eTAe +Fw0wNDEyMjAwMjMxMjdaFw0zNDEyMjAwMjMxMjdaMF4xCzAJBgNVBAYTAlRXMSMw +IQYDVQQKDBpDaHVuZ2h3YSBUZWxlY29tIENvLiwgTHRkLjEqMCgGA1UECwwhZVBL +SSBSb290IENlcnRpZmljYXRpb24gQXV0aG9yaXR5MIICIjANBgkqhkiG9w0BAQEF +AAOCAg8AMIICCgKCAgEA4SUP7o3biDN1Z82tH306Tm2d0y8U82N0ywEhajfqhFAH +SyZbCUNsIZ5qyNUD9WBpj8zwIuQf5/dqIjG3LBXy4P4AakP/h2XGtRrBp0xtInAh +ijHyl3SJCRImHJ7K2RKilTza6We/CKBk49ZCt0Xvl/T29de1ShUCWH2YWEtgvM3X +DZoTM1PRYfl61dd4s5oz9wCGzh1NlDivqOx4UXCKXBCDUSH3ET00hl7lSM2XgYI1 +TBnsZfZrxQWh7kcT1rMhJ5QQCtkkO7q+RBNGMD+XPNjX12ruOzjjK9SXDrkb5wdJ +fzcq+Xd4z1TtW0ado4AOkUPB1ltfFLqfpo0kR0BZv3I4sjZsN/+Z0V0OWQqraffA +sgRFelQArr5T9rXn4fg8ozHSqf4hUmTFpmfwdQcGlBSBVcYn5AGPF8Fqcde+S/uU +WH1+ETOxQvdibBjWzwloPn9s9h6PYq2lY9sJpx8iQkEeb5mKPtf5P0B6ebClAZLS +nT0IFaUQAS2zMnaolQ2zepr7BxB4EW/hj8e6DyUadCrlHJhBmd8hh+iVBmoKs2pH +dmX2Os+PYhcZewoozRrSgx4hxyy/vv9haLdnG7t4TY3OZ+XkwY63I2binZB1NJip +NiuKmpS5nezMirH4JYlcWrYvjB9teSSnUmjDhDXiZo1jDiVN1Rmy5nk3pyKdVDEC +AwEAAaNqMGgwHQYDVR0OBBYEFB4M97Zn8uGSJglFwFU5Lnc/QkqiMAwGA1UdEwQF +MAMBAf8wOQYEZyoHAAQxMC8wLQIBADAJBgUrDgMCGgUAMAcGBWcqAwAABBRFsMLH +ClZ87lt4DJX5GFPBphzYEDANBgkqhkiG9w0BAQUFAAOCAgEACbODU1kBPpVJufGB +uvl2ICO1J2B01GqZNF5sAFPZn/KmsSQHRGoqxqWOeBLoR9lYGxMqXnmbnwoqZ6Yl +PwZpVnPDimZI+ymBV3QGypzqKOg4ZyYr8dW1P2WT+DZdjo2NQCCHGervJ8A9tDkP +JXtoUHRVnAxZfVo9QZQlUgjgRywVMRnVvwdVxrsStZf0X4OFunHB2WyBEXYKCrC/ +gpf36j36+uwtqSiUO1bd0lEursC9CBWMd1I0ltabrNMdjmEPNXubrjlpC2JgQCA2 +j6/7Nu4tCEoduL+bXPjqpRugc6bY+G7gMwRfaKonh+3ZwZCc7b3jajWvY9+rGNm6 +5ulK6lCKD2GTHuItGeIwlDWSXQ62B68ZgI9HkFFLLk3dheLSClIKF5r8GrBQAuUB +o2M3IUxExJtRmREOc5wGj1QupyheRDmHVi03vYVElOEMSyycw5KFNGHLD7ibSkNS +/jQ6fbjpKdx2qcgw+BRxgMYeNkh0IkFch4LoGHGLQYlE535YW6i4jRPpp2zDR+2z +Gp1iro2C6pSe3VkQw63d4k3jMdXH7OjysP6SHhYKGvzZ8/gntsm+HbRsZJB/9OTE +W9c3rkIO3aQab3yIVMUWbuF6aC74Or8NpDyJO3inTmODBCEIZ43ygknQW/2xzQ+D +hNQ+IIX3Sj0rnP0qCglN6oH4EZw= +-----END CERTIFICATE----- + +# Issuer: O=certSIGN OU=certSIGN ROOT CA +# Subject: O=certSIGN OU=certSIGN ROOT CA +# Label: "certSIGN ROOT CA" +# Serial: 35210227249154 +# MD5 Fingerprint: 18:98:c0:d6:e9:3a:fc:f9:b0:f5:0c:f7:4b:01:44:17 +# SHA1 Fingerprint: fa:b7:ee:36:97:26:62:fb:2d:b0:2a:f6:bf:03:fd:e8:7c:4b:2f:9b +# SHA256 Fingerprint: ea:a9:62:c4:fa:4a:6b:af:eb:e4:15:19:6d:35:1c:cd:88:8d:4f:53:f3:fa:8a:e6:d7:c4:66:a9:4e:60:42:bb +-----BEGIN CERTIFICATE----- +MIIDODCCAiCgAwIBAgIGIAYFFnACMA0GCSqGSIb3DQEBBQUAMDsxCzAJBgNVBAYT +AlJPMREwDwYDVQQKEwhjZXJ0U0lHTjEZMBcGA1UECxMQY2VydFNJR04gUk9PVCBD +QTAeFw0wNjA3MDQxNzIwMDRaFw0zMTA3MDQxNzIwMDRaMDsxCzAJBgNVBAYTAlJP +MREwDwYDVQQKEwhjZXJ0U0lHTjEZMBcGA1UECxMQY2VydFNJR04gUk9PVCBDQTCC +ASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBALczuX7IJUqOtdu0KBuqV5Do +0SLTZLrTk+jUrIZhQGpgV2hUhE28alQCBf/fm5oqrl0Hj0rDKH/v+yv6efHHrfAQ +UySQi2bJqIirr1qjAOm+ukbuW3N7LBeCgV5iLKECZbO9xSsAfsT8AzNXDe3i+s5d +RdY4zTW2ssHQnIFKquSyAVwdj1+ZxLGt24gh65AIgoDzMKND5pCCrlUoSe1b16kQ +OA7+j0xbm0bqQfWwCHTD0IgztnzXdN/chNFDDnU5oSVAKOp4yw4sLjmdjItuFhwv +JoIQ4uNllAoEwF73XVv4EOLQunpL+943AAAaWyjj0pxzPjKHmKHJUS/X3qwzs08C +AwEAAaNCMEAwDwYDVR0TAQH/BAUwAwEB/zAOBgNVHQ8BAf8EBAMCAcYwHQYDVR0O +BBYEFOCMm9slSbPxfIbWskKHC9BroNnkMA0GCSqGSIb3DQEBBQUAA4IBAQA+0hyJ +LjX8+HXd5n9liPRyTMks1zJO890ZeUe9jjtbkw9QSSQTaxQGcu8J06Gh40CEyecY +MnQ8SG4Pn0vU9x7Tk4ZkVJdjclDVVc/6IJMCopvDI5NOFlV2oHB5bc0hH88vLbwZ +44gx+FkagQnIl6Z0x2DEW8xXjrJ1/RsCCdtZb3KTafcxQdaIOL+Hsr0Wefmq5L6I +Jd1hJyMctTEHBDa0GpC9oHRxUIltvBTjD4au8as+x6AJzKNI0eDbZOeStc+vckNw +i/nDhDwTqn6Sm1dTk/pwwpEOMfmbZ13pljheX7NzTogVZ96edhBiIL5VaZVDADlN +9u6wWk5JRFRYX0KD +-----END CERTIFICATE----- + +# Issuer: CN=NetLock Arany (Class Gold) F\u0151tan\xfas\xedtv\xe1ny O=NetLock Kft. OU=Tan\xfas\xedtv\xe1nykiad\xf3k (Certification Services) +# Subject: CN=NetLock Arany (Class Gold) F\u0151tan\xfas\xedtv\xe1ny O=NetLock Kft. OU=Tan\xfas\xedtv\xe1nykiad\xf3k (Certification Services) +# Label: "NetLock Arany (Class Gold) F\u0151tan\xfas\xedtv\xe1ny" +# Serial: 80544274841616 +# MD5 Fingerprint: c5:a1:b7:ff:73:dd:d6:d7:34:32:18:df:fc:3c:ad:88 +# SHA1 Fingerprint: 06:08:3f:59:3f:15:a1:04:a0:69:a4:6b:a9:03:d0:06:b7:97:09:91 +# SHA256 Fingerprint: 6c:61:da:c3:a2:de:f0:31:50:6b:e0:36:d2:a6:fe:40:19:94:fb:d1:3d:f9:c8:d4:66:59:92:74:c4:46:ec:98 +-----BEGIN CERTIFICATE----- +MIIEFTCCAv2gAwIBAgIGSUEs5AAQMA0GCSqGSIb3DQEBCwUAMIGnMQswCQYDVQQG +EwJIVTERMA8GA1UEBwwIQnVkYXBlc3QxFTATBgNVBAoMDE5ldExvY2sgS2Z0LjE3 +MDUGA1UECwwuVGFuw7pzw610dsOhbnlraWFkw7NrIChDZXJ0aWZpY2F0aW9uIFNl +cnZpY2VzKTE1MDMGA1UEAwwsTmV0TG9jayBBcmFueSAoQ2xhc3MgR29sZCkgRsWR +dGFuw7pzw610dsOhbnkwHhcNMDgxMjExMTUwODIxWhcNMjgxMjA2MTUwODIxWjCB +pzELMAkGA1UEBhMCSFUxETAPBgNVBAcMCEJ1ZGFwZXN0MRUwEwYDVQQKDAxOZXRM +b2NrIEtmdC4xNzA1BgNVBAsMLlRhbsO6c8OtdHbDoW55a2lhZMOzayAoQ2VydGlm +aWNhdGlvbiBTZXJ2aWNlcykxNTAzBgNVBAMMLE5ldExvY2sgQXJhbnkgKENsYXNz +IEdvbGQpIEbFkXRhbsO6c8OtdHbDoW55MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8A +MIIBCgKCAQEAxCRec75LbRTDofTjl5Bu0jBFHjzuZ9lk4BqKf8owyoPjIMHj9DrT +lF8afFttvzBPhCf2nx9JvMaZCpDyD/V/Q4Q3Y1GLeqVw/HpYzY6b7cNGbIRwXdrz +AZAj/E4wqX7hJ2Pn7WQ8oLjJM2P+FpD/sLj916jAwJRDC7bVWaaeVtAkH3B5r9s5 +VA1lddkVQZQBr17s9o3x/61k/iCa11zr/qYfCGSji3ZVrR47KGAuhyXoqq8fxmRG +ILdwfzzeSNuWU7c5d+Qa4scWhHaXWy+7GRWF+GmF9ZmnqfI0p6m2pgP8b4Y9VHx2 +BJtr+UBdADTHLpl1neWIA6pN+APSQnbAGwIDAKiLo0UwQzASBgNVHRMBAf8ECDAG +AQH/AgEEMA4GA1UdDwEB/wQEAwIBBjAdBgNVHQ4EFgQUzPpnk/C2uNClwB7zU/2M +U9+D15YwDQYJKoZIhvcNAQELBQADggEBAKt/7hwWqZw8UQCgwBEIBaeZ5m8BiFRh +bvG5GK1Krf6BQCOUL/t1fC8oS2IkgYIL9WHxHG64YTjrgfpioTtaYtOUZcTh5m2C ++C8lcLIhJsFyUR+MLMOEkMNaj7rP9KdlpeuY0fsFskZ1FSNqb4VjMIDw1Z4fKRzC +bLBQWV2QWzuoDTDPv31/zvGdg73JRm4gpvlhUbohL3u+pRVjodSVh/GeufOJ8z2F +uLjbvrW5KfnaNwUASZQDhETnv0Mxz3WLJdH0pmT1kvarBes96aULNmLazAZfNou2 +XjG4Kvte9nHfRCaexOYNkbQudZWAUWpLMKawYqGT8ZvYzsRjdT9ZR7E= +-----END CERTIFICATE----- + +# Issuer: CN=Microsec e-Szigno Root CA 2009 O=Microsec Ltd. +# Subject: CN=Microsec e-Szigno Root CA 2009 O=Microsec Ltd. +# Label: "Microsec e-Szigno Root CA 2009" +# Serial: 14014712776195784473 +# MD5 Fingerprint: f8:49:f4:03:bc:44:2d:83:be:48:69:7d:29:64:fc:b1 +# SHA1 Fingerprint: 89:df:74:fe:5c:f4:0f:4a:80:f9:e3:37:7d:54:da:91:e1:01:31:8e +# SHA256 Fingerprint: 3c:5f:81:fe:a5:fa:b8:2c:64:bf:a2:ea:ec:af:cd:e8:e0:77:fc:86:20:a7:ca:e5:37:16:3d:f3:6e:db:f3:78 +-----BEGIN CERTIFICATE----- +MIIECjCCAvKgAwIBAgIJAMJ+QwRORz8ZMA0GCSqGSIb3DQEBCwUAMIGCMQswCQYD +VQQGEwJIVTERMA8GA1UEBwwIQnVkYXBlc3QxFjAUBgNVBAoMDU1pY3Jvc2VjIEx0 +ZC4xJzAlBgNVBAMMHk1pY3Jvc2VjIGUtU3ppZ25vIFJvb3QgQ0EgMjAwOTEfMB0G +CSqGSIb3DQEJARYQaW5mb0BlLXN6aWduby5odTAeFw0wOTA2MTYxMTMwMThaFw0y +OTEyMzAxMTMwMThaMIGCMQswCQYDVQQGEwJIVTERMA8GA1UEBwwIQnVkYXBlc3Qx +FjAUBgNVBAoMDU1pY3Jvc2VjIEx0ZC4xJzAlBgNVBAMMHk1pY3Jvc2VjIGUtU3pp +Z25vIFJvb3QgQ0EgMjAwOTEfMB0GCSqGSIb3DQEJARYQaW5mb0BlLXN6aWduby5o +dTCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBAOn4j/NjrdqG2KfgQvvP +kd6mJviZpWNwrZuuyjNAfW2WbqEORO7hE52UQlKavXWFdCyoDh2Tthi3jCyoz/tc +cbna7P7ofo/kLx2yqHWH2Leh5TvPmUpG0IMZfcChEhyVbUr02MelTTMuhTlAdX4U +fIASmFDHQWe4oIBhVKZsTh/gnQ4H6cm6M+f+wFUoLAKApxn1ntxVUwOXewdI/5n7 +N4okxFnMUBBjjqqpGrCEGob5X7uxUG6k0QrM1XF+H6cbfPVTbiJfyyvm1HxdrtbC +xkzlBQHZ7Vf8wSN5/PrIJIOV87VqUQHQd9bpEqH5GoP7ghu5sJf0dgYzQ0mg/wu1 ++rUCAwEAAaOBgDB+MA8GA1UdEwEB/wQFMAMBAf8wDgYDVR0PAQH/BAQDAgEGMB0G +A1UdDgQWBBTLD8bfQkPMPcu1SCOhGnqmKrs0aDAfBgNVHSMEGDAWgBTLD8bfQkPM +Pcu1SCOhGnqmKrs0aDAbBgNVHREEFDASgRBpbmZvQGUtc3ppZ25vLmh1MA0GCSqG +SIb3DQEBCwUAA4IBAQDJ0Q5eLtXMs3w+y/w9/w0olZMEyL/azXm4Q5DwpL7v8u8h +mLzU1F0G9u5C7DBsoKqpyvGvivo/C3NqPuouQH4frlRheesuCDfXI/OMn74dseGk +ddug4lQUsbocKaQY9hK6ohQU4zE1yED/t+AFdlfBHFny+L/k7SViXITwfn4fs775 +tyERzAMBVnCnEJIeGzSBHq2cGsMEPO0CYdYeBvNfOofyK/FFh+U9rNHHV4S9a67c +2Pm2G2JwCz02yULyMtd6YebS2z3PyKnJm9zbWETXbzivf3jTo60adbocwTZ8jx5t +HMN1Rq41Bab2XD0h7lbwyYIiLXpUq3DDfSJlgnCW +-----END CERTIFICATE----- + +# Issuer: CN=GlobalSign O=GlobalSign OU=GlobalSign Root CA - R3 +# Subject: CN=GlobalSign O=GlobalSign OU=GlobalSign Root CA - R3 +# Label: "GlobalSign Root CA - R3" +# Serial: 4835703278459759426209954 +# MD5 Fingerprint: c5:df:b8:49:ca:05:13:55:ee:2d:ba:1a:c3:3e:b0:28 +# SHA1 Fingerprint: d6:9b:56:11:48:f0:1c:77:c5:45:78:c1:09:26:df:5b:85:69:76:ad +# SHA256 Fingerprint: cb:b5:22:d7:b7:f1:27:ad:6a:01:13:86:5b:df:1c:d4:10:2e:7d:07:59:af:63:5a:7c:f4:72:0d:c9:63:c5:3b +-----BEGIN CERTIFICATE----- +MIIDXzCCAkegAwIBAgILBAAAAAABIVhTCKIwDQYJKoZIhvcNAQELBQAwTDEgMB4G +A1UECxMXR2xvYmFsU2lnbiBSb290IENBIC0gUjMxEzARBgNVBAoTCkdsb2JhbFNp +Z24xEzARBgNVBAMTCkdsb2JhbFNpZ24wHhcNMDkwMzE4MTAwMDAwWhcNMjkwMzE4 +MTAwMDAwWjBMMSAwHgYDVQQLExdHbG9iYWxTaWduIFJvb3QgQ0EgLSBSMzETMBEG +A1UEChMKR2xvYmFsU2lnbjETMBEGA1UEAxMKR2xvYmFsU2lnbjCCASIwDQYJKoZI +hvcNAQEBBQADggEPADCCAQoCggEBAMwldpB5BngiFvXAg7aEyiie/QV2EcWtiHL8 +RgJDx7KKnQRfJMsuS+FggkbhUqsMgUdwbN1k0ev1LKMPgj0MK66X17YUhhB5uzsT +gHeMCOFJ0mpiLx9e+pZo34knlTifBtc+ycsmWQ1z3rDI6SYOgxXG71uL0gRgykmm +KPZpO/bLyCiR5Z2KYVc3rHQU3HTgOu5yLy6c+9C7v/U9AOEGM+iCK65TpjoWc4zd +QQ4gOsC0p6Hpsk+QLjJg6VfLuQSSaGjlOCZgdbKfd/+RFO+uIEn8rUAVSNECMWEZ +XriX7613t2Saer9fwRPvm2L7DWzgVGkWqQPabumDk3F2xmmFghcCAwEAAaNCMEAw +DgYDVR0PAQH/BAQDAgEGMA8GA1UdEwEB/wQFMAMBAf8wHQYDVR0OBBYEFI/wS3+o +LkUkrk1Q+mOai97i3Ru8MA0GCSqGSIb3DQEBCwUAA4IBAQBLQNvAUKr+yAzv95ZU +RUm7lgAJQayzE4aGKAczymvmdLm6AC2upArT9fHxD4q/c2dKg8dEe3jgr25sbwMp +jjM5RcOO5LlXbKr8EpbsU8Yt5CRsuZRj+9xTaGdWPoO4zzUhw8lo/s7awlOqzJCK +6fBdRoyV3XpYKBovHd7NADdBj+1EbddTKJd+82cEHhXXipa0095MJ6RMG3NzdvQX +mcIfeg7jLQitChws/zyrVQ4PkX4268NXSb7hLi18YIvDQVETI53O9zJrlAGomecs +Mx86OyXShkDOOyyGeMlhLxS67ttVb9+E7gUJTb0o2HLO02JQZR7rkpeDMdmztcpH +WD9f +-----END CERTIFICATE----- + +# Issuer: CN=Izenpe.com O=IZENPE S.A. +# Subject: CN=Izenpe.com O=IZENPE S.A. +# Label: "Izenpe.com" +# Serial: 917563065490389241595536686991402621 +# MD5 Fingerprint: a6:b0:cd:85:80:da:5c:50:34:a3:39:90:2f:55:67:73 +# SHA1 Fingerprint: 2f:78:3d:25:52:18:a7:4a:65:39:71:b5:2c:a2:9c:45:15:6f:e9:19 +# SHA256 Fingerprint: 25:30:cc:8e:98:32:15:02:ba:d9:6f:9b:1f:ba:1b:09:9e:2d:29:9e:0f:45:48:bb:91:4f:36:3b:c0:d4:53:1f +-----BEGIN CERTIFICATE----- +MIIF8TCCA9mgAwIBAgIQALC3WhZIX7/hy/WL1xnmfTANBgkqhkiG9w0BAQsFADA4 +MQswCQYDVQQGEwJFUzEUMBIGA1UECgwLSVpFTlBFIFMuQS4xEzARBgNVBAMMCkl6 +ZW5wZS5jb20wHhcNMDcxMjEzMTMwODI4WhcNMzcxMjEzMDgyNzI1WjA4MQswCQYD +VQQGEwJFUzEUMBIGA1UECgwLSVpFTlBFIFMuQS4xEzARBgNVBAMMCkl6ZW5wZS5j +b20wggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAwggIKAoICAQDJ03rKDx6sp4boFmVq +scIbRTJxldn+EFvMr+eleQGPicPK8lVx93e+d5TzcqQsRNiekpsUOqHnJJAKClaO +xdgmlOHZSOEtPtoKct2jmRXagaKH9HtuJneJWK3W6wyyQXpzbm3benhB6QiIEn6H +LmYRY2xU+zydcsC8Lv/Ct90NduM61/e0aL6i9eOBbsFGb12N4E3GVFWJGjMxCrFX +uaOKmMPsOzTFlUFpfnXCPCDFYbpRR6AgkJOhkEvzTnyFRVSa0QUmQbC1TR0zvsQD +yCV8wXDbO/QJLVQnSKwv4cSsPsjLkkxTOTcj7NMB+eAJRE1NZMDhDVqHIrytG6P+ +JrUV86f8hBnp7KGItERphIPzidF0BqnMC9bC3ieFUCbKF7jJeodWLBoBHmy+E60Q +rLUk9TiRodZL2vG70t5HtfG8gfZZa88ZU+mNFctKy6lvROUbQc/hhqfK0GqfvEyN +BjNaooXlkDWgYlwWTvDjovoDGrQscbNYLN57C9saD+veIR8GdwYDsMnvmfzAuU8L +hij+0rnq49qlw0dpEuDb8PYZi+17cNcC1u2HGCgsBCRMd+RIihrGO5rUD8r6ddIB +QFqNeb+Lz0vPqhbBleStTIo+F5HUsWLlguWABKQDfo2/2n+iD5dPDNMN+9fR5XJ+ +HMh3/1uaD7euBUbl8agW7EekFwIDAQABo4H2MIHzMIGwBgNVHREEgagwgaWBD2lu +Zm9AaXplbnBlLmNvbaSBkTCBjjFHMEUGA1UECgw+SVpFTlBFIFMuQS4gLSBDSUYg +QTAxMzM3MjYwLVJNZXJjLlZpdG9yaWEtR2FzdGVpeiBUMTA1NSBGNjIgUzgxQzBB +BgNVBAkMOkF2ZGEgZGVsIE1lZGl0ZXJyYW5lbyBFdG9yYmlkZWEgMTQgLSAwMTAx +MCBWaXRvcmlhLUdhc3RlaXowDwYDVR0TAQH/BAUwAwEB/zAOBgNVHQ8BAf8EBAMC +AQYwHQYDVR0OBBYEFB0cZQ6o8iV7tJHP5LGx5r1VdGwFMA0GCSqGSIb3DQEBCwUA +A4ICAQB4pgwWSp9MiDrAyw6lFn2fuUhfGI8NYjb2zRlrrKvV9pF9rnHzP7MOeIWb +laQnIUdCSnxIOvVFfLMMjlF4rJUT3sb9fbgakEyrkgPH7UIBzg/YsfqikuFgba56 +awmqxinuaElnMIAkejEWOVt+8Rwu3WwJrfIxwYJOubv5vr8qhT/AQKM6WfxZSzwo +JNu0FXWuDYi6LnPAvViH5ULy617uHjAimcs30cQhbIHsvm0m5hzkQiCeR7Csg1lw +LDXWrzY0tM07+DKo7+N4ifuNRSzanLh+QBxh5z6ikixL8s36mLYp//Pye6kfLqCT +VyvehQP5aTfLnnhqBbTFMXiJ7HqnheG5ezzevh55hM6fcA5ZwjUukCox2eRFekGk +LhObNA5me0mrZJfQRsN5nXJQY6aYWwa9SG3YOYNw6DXwBdGqvOPbyALqfP2C2sJb +UjWumDqtujWTI6cfSN01RpiyEGjkpTHCClguGYEQyVB1/OpaFs4R1+7vUIgtYf8/ +QnMFlEPVjjxOAToZpR9GTnfQXeWBIiGH/pR9hNiTrdZoQ0iy2+tzJOeRf1SktoA+ +naM8THLCV8Sg1Mw4J87VBp6iSNnpn86CcDaTmjvfliHjWbcM2pE38P1ZWrOZyGls +QyYBNWNgVYkDOnXYukrZVP/u3oDYLdE41V4tC5h9Pmzb/CaIxw== +-----END CERTIFICATE----- + +# Issuer: CN=Go Daddy Root Certificate Authority - G2 O=GoDaddy.com, Inc. +# Subject: CN=Go Daddy Root Certificate Authority - G2 O=GoDaddy.com, Inc. +# Label: "Go Daddy Root Certificate Authority - G2" +# Serial: 0 +# MD5 Fingerprint: 80:3a:bc:22:c1:e6:fb:8d:9b:3b:27:4a:32:1b:9a:01 +# SHA1 Fingerprint: 47:be:ab:c9:22:ea:e8:0e:78:78:34:62:a7:9f:45:c2:54:fd:e6:8b +# SHA256 Fingerprint: 45:14:0b:32:47:eb:9c:c8:c5:b4:f0:d7:b5:30:91:f7:32:92:08:9e:6e:5a:63:e2:74:9d:d3:ac:a9:19:8e:da +-----BEGIN CERTIFICATE----- +MIIDxTCCAq2gAwIBAgIBADANBgkqhkiG9w0BAQsFADCBgzELMAkGA1UEBhMCVVMx +EDAOBgNVBAgTB0FyaXpvbmExEzARBgNVBAcTClNjb3R0c2RhbGUxGjAYBgNVBAoT +EUdvRGFkZHkuY29tLCBJbmMuMTEwLwYDVQQDEyhHbyBEYWRkeSBSb290IENlcnRp +ZmljYXRlIEF1dGhvcml0eSAtIEcyMB4XDTA5MDkwMTAwMDAwMFoXDTM3MTIzMTIz +NTk1OVowgYMxCzAJBgNVBAYTAlVTMRAwDgYDVQQIEwdBcml6b25hMRMwEQYDVQQH +EwpTY290dHNkYWxlMRowGAYDVQQKExFHb0RhZGR5LmNvbSwgSW5jLjExMC8GA1UE +AxMoR28gRGFkZHkgUm9vdCBDZXJ0aWZpY2F0ZSBBdXRob3JpdHkgLSBHMjCCASIw +DQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBAL9xYgjx+lk09xvJGKP3gElY6SKD +E6bFIEMBO4Tx5oVJnyfq9oQbTqC023CYxzIBsQU+B07u9PpPL1kwIuerGVZr4oAH +/PMWdYA5UXvl+TW2dE6pjYIT5LY/qQOD+qK+ihVqf94Lw7YZFAXK6sOoBJQ7Rnwy +DfMAZiLIjWltNowRGLfTshxgtDj6AozO091GB94KPutdfMh8+7ArU6SSYmlRJQVh +GkSBjCypQ5Yj36w6gZoOKcUcqeldHraenjAKOc7xiID7S13MMuyFYkMlNAJWJwGR +tDtwKj9useiciAF9n9T521NtYJ2/LOdYq7hfRvzOxBsDPAnrSTFcaUaz4EcCAwEA +AaNCMEAwDwYDVR0TAQH/BAUwAwEB/zAOBgNVHQ8BAf8EBAMCAQYwHQYDVR0OBBYE +FDqahQcQZyi27/a9BUFuIMGU2g/eMA0GCSqGSIb3DQEBCwUAA4IBAQCZ21151fmX +WWcDYfF+OwYxdS2hII5PZYe096acvNjpL9DbWu7PdIxztDhC2gV7+AJ1uP2lsdeu +9tfeE8tTEH6KRtGX+rcuKxGrkLAngPnon1rpN5+r5N9ss4UXnT3ZJE95kTXWXwTr +gIOrmgIttRD02JDHBHNA7XIloKmf7J6raBKZV8aPEjoJpL1E/QYVN8Gb5DKj7Tjo +2GTzLH4U/ALqn83/B2gX2yKQOC16jdFU8WnjXzPKej17CuPKf1855eJ1usV2GDPO +LPAvTK33sefOT6jEm0pUBsV/fdUID+Ic/n4XuKxe9tQWskMJDE32p2u0mYRlynqI +4uJEvlz36hz1 +-----END CERTIFICATE----- + +# Issuer: CN=Starfield Root Certificate Authority - G2 O=Starfield Technologies, Inc. +# Subject: CN=Starfield Root Certificate Authority - G2 O=Starfield Technologies, Inc. +# Label: "Starfield Root Certificate Authority - G2" +# Serial: 0 +# MD5 Fingerprint: d6:39:81:c6:52:7e:96:69:fc:fc:ca:66:ed:05:f2:96 +# SHA1 Fingerprint: b5:1c:06:7c:ee:2b:0c:3d:f8:55:ab:2d:92:f4:fe:39:d4:e7:0f:0e +# SHA256 Fingerprint: 2c:e1:cb:0b:f9:d2:f9:e1:02:99:3f:be:21:51:52:c3:b2:dd:0c:ab:de:1c:68:e5:31:9b:83:91:54:db:b7:f5 +-----BEGIN CERTIFICATE----- +MIID3TCCAsWgAwIBAgIBADANBgkqhkiG9w0BAQsFADCBjzELMAkGA1UEBhMCVVMx +EDAOBgNVBAgTB0FyaXpvbmExEzARBgNVBAcTClNjb3R0c2RhbGUxJTAjBgNVBAoT +HFN0YXJmaWVsZCBUZWNobm9sb2dpZXMsIEluYy4xMjAwBgNVBAMTKVN0YXJmaWVs +ZCBSb290IENlcnRpZmljYXRlIEF1dGhvcml0eSAtIEcyMB4XDTA5MDkwMTAwMDAw +MFoXDTM3MTIzMTIzNTk1OVowgY8xCzAJBgNVBAYTAlVTMRAwDgYDVQQIEwdBcml6 +b25hMRMwEQYDVQQHEwpTY290dHNkYWxlMSUwIwYDVQQKExxTdGFyZmllbGQgVGVj +aG5vbG9naWVzLCBJbmMuMTIwMAYDVQQDEylTdGFyZmllbGQgUm9vdCBDZXJ0aWZp +Y2F0ZSBBdXRob3JpdHkgLSBHMjCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoC +ggEBAL3twQP89o/8ArFvW59I2Z154qK3A2FWGMNHttfKPTUuiUP3oWmb3ooa/RMg +nLRJdzIpVv257IzdIvpy3Cdhl+72WoTsbhm5iSzchFvVdPtrX8WJpRBSiUZV9Lh1 +HOZ/5FSuS/hVclcCGfgXcVnrHigHdMWdSL5stPSksPNkN3mSwOxGXn/hbVNMYq/N +Hwtjuzqd+/x5AJhhdM8mgkBj87JyahkNmcrUDnXMN/uLicFZ8WJ/X7NfZTD4p7dN +dloedl40wOiWVpmKs/B/pM293DIxfJHP4F8R+GuqSVzRmZTRouNjWwl2tVZi4Ut0 +HZbUJtQIBFnQmA4O5t78w+wfkPECAwEAAaNCMEAwDwYDVR0TAQH/BAUwAwEB/zAO +BgNVHQ8BAf8EBAMCAQYwHQYDVR0OBBYEFHwMMh+n2TB/xH1oo2Kooc6rB1snMA0G +CSqGSIb3DQEBCwUAA4IBAQARWfolTwNvlJk7mh+ChTnUdgWUXuEok21iXQnCoKjU +sHU48TRqneSfioYmUeYs0cYtbpUgSpIB7LiKZ3sx4mcujJUDJi5DnUox9g61DLu3 +4jd/IroAow57UvtruzvE03lRTs2Q9GcHGcg8RnoNAX3FWOdt5oUwF5okxBDgBPfg +8n/Uqgr/Qh037ZTlZFkSIHc40zI+OIF1lnP6aI+xy84fxez6nH7PfrHxBy22/L/K +pL/QlwVKvOoYKAKQvVR4CSFx09F9HdkWsKlhPdAKACL8x3vLCWRFCztAgfd9fDL1 +mMpYjn0q7pBZc2T5NnReJaH1ZgUufzkVqSr7UIuOhWn0 +-----END CERTIFICATE----- + +# Issuer: CN=Starfield Services Root Certificate Authority - G2 O=Starfield Technologies, Inc. +# Subject: CN=Starfield Services Root Certificate Authority - G2 O=Starfield Technologies, Inc. +# Label: "Starfield Services Root Certificate Authority - G2" +# Serial: 0 +# MD5 Fingerprint: 17:35:74:af:7b:61:1c:eb:f4:f9:3c:e2:ee:40:f9:a2 +# SHA1 Fingerprint: 92:5a:8f:8d:2c:6d:04:e0:66:5f:59:6a:ff:22:d8:63:e8:25:6f:3f +# SHA256 Fingerprint: 56:8d:69:05:a2:c8:87:08:a4:b3:02:51:90:ed:cf:ed:b1:97:4a:60:6a:13:c6:e5:29:0f:cb:2a:e6:3e:da:b5 +-----BEGIN CERTIFICATE----- +MIID7zCCAtegAwIBAgIBADANBgkqhkiG9w0BAQsFADCBmDELMAkGA1UEBhMCVVMx +EDAOBgNVBAgTB0FyaXpvbmExEzARBgNVBAcTClNjb3R0c2RhbGUxJTAjBgNVBAoT +HFN0YXJmaWVsZCBUZWNobm9sb2dpZXMsIEluYy4xOzA5BgNVBAMTMlN0YXJmaWVs +ZCBTZXJ2aWNlcyBSb290IENlcnRpZmljYXRlIEF1dGhvcml0eSAtIEcyMB4XDTA5 +MDkwMTAwMDAwMFoXDTM3MTIzMTIzNTk1OVowgZgxCzAJBgNVBAYTAlVTMRAwDgYD +VQQIEwdBcml6b25hMRMwEQYDVQQHEwpTY290dHNkYWxlMSUwIwYDVQQKExxTdGFy +ZmllbGQgVGVjaG5vbG9naWVzLCBJbmMuMTswOQYDVQQDEzJTdGFyZmllbGQgU2Vy +dmljZXMgUm9vdCBDZXJ0aWZpY2F0ZSBBdXRob3JpdHkgLSBHMjCCASIwDQYJKoZI +hvcNAQEBBQADggEPADCCAQoCggEBANUMOsQq+U7i9b4Zl1+OiFOxHz/Lz58gE20p +OsgPfTz3a3Y4Y9k2YKibXlwAgLIvWX/2h/klQ4bnaRtSmpDhcePYLQ1Ob/bISdm2 +8xpWriu2dBTrz/sm4xq6HZYuajtYlIlHVv8loJNwU4PahHQUw2eeBGg6345AWh1K +Ts9DkTvnVtYAcMtS7nt9rjrnvDH5RfbCYM8TWQIrgMw0R9+53pBlbQLPLJGmpufe +hRhJfGZOozptqbXuNC66DQO4M99H67FrjSXZm86B0UVGMpZwh94CDklDhbZsc7tk +6mFBrMnUVN+HL8cisibMn1lUaJ/8viovxFUcdUBgF4UCVTmLfwUCAwEAAaNCMEAw +DwYDVR0TAQH/BAUwAwEB/zAOBgNVHQ8BAf8EBAMCAQYwHQYDVR0OBBYEFJxfAN+q +AdcwKziIorhtSpzyEZGDMA0GCSqGSIb3DQEBCwUAA4IBAQBLNqaEd2ndOxmfZyMI +bw5hyf2E3F/YNoHN2BtBLZ9g3ccaaNnRbobhiCPPE95Dz+I0swSdHynVv/heyNXB +ve6SbzJ08pGCL72CQnqtKrcgfU28elUSwhXqvfdqlS5sdJ/PHLTyxQGjhdByPq1z +qwubdQxtRbeOlKyWN7Wg0I8VRw7j6IPdj/3vQQF3zCepYoUz8jcI73HPdwbeyBkd +iEDPfUYd/x7H4c7/I9vG+o1VTqkC50cRRj70/b17KSa7qWFiNyi2LSr2EIZkyXCn +0q23KXB56jzaYyWf/Wi3MOxw+3WKt21gZ7IeyLnp2KhvAotnDU0mV3HaIPzBSlCN +sSi6 +-----END CERTIFICATE----- + +# Issuer: CN=Certum Trusted Network CA O=Unizeto Technologies S.A. OU=Certum Certification Authority +# Subject: CN=Certum Trusted Network CA O=Unizeto Technologies S.A. OU=Certum Certification Authority +# Label: "Certum Trusted Network CA" +# Serial: 279744 +# MD5 Fingerprint: d5:e9:81:40:c5:18:69:fc:46:2c:89:75:62:0f:aa:78 +# SHA1 Fingerprint: 07:e0:32:e0:20:b7:2c:3f:19:2f:06:28:a2:59:3a:19:a7:0f:06:9e +# SHA256 Fingerprint: 5c:58:46:8d:55:f5:8e:49:7e:74:39:82:d2:b5:00:10:b6:d1:65:37:4a:cf:83:a7:d4:a3:2d:b7:68:c4:40:8e +-----BEGIN CERTIFICATE----- +MIIDuzCCAqOgAwIBAgIDBETAMA0GCSqGSIb3DQEBBQUAMH4xCzAJBgNVBAYTAlBM +MSIwIAYDVQQKExlVbml6ZXRvIFRlY2hub2xvZ2llcyBTLkEuMScwJQYDVQQLEx5D +ZXJ0dW0gQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkxIjAgBgNVBAMTGUNlcnR1bSBU +cnVzdGVkIE5ldHdvcmsgQ0EwHhcNMDgxMDIyMTIwNzM3WhcNMjkxMjMxMTIwNzM3 +WjB+MQswCQYDVQQGEwJQTDEiMCAGA1UEChMZVW5pemV0byBUZWNobm9sb2dpZXMg +Uy5BLjEnMCUGA1UECxMeQ2VydHVtIENlcnRpZmljYXRpb24gQXV0aG9yaXR5MSIw +IAYDVQQDExlDZXJ0dW0gVHJ1c3RlZCBOZXR3b3JrIENBMIIBIjANBgkqhkiG9w0B +AQEFAAOCAQ8AMIIBCgKCAQEA4/t9o3K6wvDJFIf1awFO4W5AB7ptJ11/91sts1rH +UV+rpDKmYYe2bg+G0jACl/jXaVehGDldamR5xgFZrDwxSjh80gTSSyjoIF87B6LM +TXPb865Px1bVWqeWifrzq2jUI4ZZJ88JJ7ysbnKDHDBy3+Ci6dLhdHUZvSqeexVU +BBvXQzmtVSjF4hq79MDkrjhJM8x2hZ85RdKknvISjFH4fOQtf/WsX+sWn7Et0brM +kUJ3TCXJkDhv2/DM+44el1k+1WBO5gUo7Ul5E0u6SNsv+XLTOcr+H9g0cvW0QM8x +AcPs3hEtF10fuFDRXhmnad4HMyjKUJX5p1TLVIZQRan5SQIDAQABo0IwQDAPBgNV +HRMBAf8EBTADAQH/MB0GA1UdDgQWBBQIds3LB/8k9sXN7buQvOKEN0Z19zAOBgNV +HQ8BAf8EBAMCAQYwDQYJKoZIhvcNAQEFBQADggEBAKaorSLOAT2mo/9i0Eidi15y +sHhE49wcrwn9I0j6vSrEuVUEtRCjjSfeC4Jj0O7eDDd5QVsisrCaQVymcODU0HfL +I9MA4GxWL+FpDQ3Zqr8hgVDZBqWo/5U30Kr+4rP1mS1FhIrlQgnXdAIv94nYmem8 +J9RHjboNRhx3zxSkHLmkMcScKHQDNP8zGSal6Q10tz6XxnboJ5ajZt3hrvJBW8qY +VoNzcOSGGtIxQbovvi0TWnZvTuhOgQ4/WwMioBK+ZlgRSssDxLQqKi2WF+A5VLxI +03YnnZotBqbJ7DnSq9ufmgsnAjUpsUCV5/nonFWIGUbWtzT1fs45mtk48VH3Tyw= +-----END CERTIFICATE----- + +# Issuer: CN=TWCA Root Certification Authority O=TAIWAN-CA OU=Root CA +# Subject: CN=TWCA Root Certification Authority O=TAIWAN-CA OU=Root CA +# Label: "TWCA Root Certification Authority" +# Serial: 1 +# MD5 Fingerprint: aa:08:8f:f6:f9:7b:b7:f2:b1:a7:1e:9b:ea:ea:bd:79 +# SHA1 Fingerprint: cf:9e:87:6d:d3:eb:fc:42:26:97:a3:b5:a3:7a:a0:76:a9:06:23:48 +# SHA256 Fingerprint: bf:d8:8f:e1:10:1c:41:ae:3e:80:1b:f8:be:56:35:0e:e9:ba:d1:a6:b9:bd:51:5e:dc:5c:6d:5b:87:11:ac:44 +-----BEGIN CERTIFICATE----- +MIIDezCCAmOgAwIBAgIBATANBgkqhkiG9w0BAQUFADBfMQswCQYDVQQGEwJUVzES +MBAGA1UECgwJVEFJV0FOLUNBMRAwDgYDVQQLDAdSb290IENBMSowKAYDVQQDDCFU +V0NBIFJvb3QgQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkwHhcNMDgwODI4MDcyNDMz +WhcNMzAxMjMxMTU1OTU5WjBfMQswCQYDVQQGEwJUVzESMBAGA1UECgwJVEFJV0FO +LUNBMRAwDgYDVQQLDAdSb290IENBMSowKAYDVQQDDCFUV0NBIFJvb3QgQ2VydGlm +aWNhdGlvbiBBdXRob3JpdHkwggEiMA0GCSqGSIb3DQEBAQUAA4IBDwAwggEKAoIB +AQCwfnK4pAOU5qfeCTiRShFAh6d8WWQUe7UREN3+v9XAu1bihSX0NXIP+FPQQeFE +AcK0HMMxQhZHhTMidrIKbw/lJVBPhYa+v5guEGcevhEFhgWQxFnQfHgQsIBct+HH +K3XLfJ+utdGdIzdjp9xCoi2SBBtQwXu4PhvJVgSLL1KbralW6cH/ralYhzC2gfeX +RfwZVzsrb+RH9JlF/h3x+JejiB03HFyP4HYlmlD4oFT/RJB2I9IyxsOrBr/8+7/z +rX2SYgJbKdM1o5OaQ2RgXbL6Mv87BK9NQGr5x+PvI/1ry+UPizgN7gr8/g+YnzAx +3WxSZfmLgb4i4RxYA7qRG4kHAgMBAAGjQjBAMA4GA1UdDwEB/wQEAwIBBjAPBgNV +HRMBAf8EBTADAQH/MB0GA1UdDgQWBBRqOFsmjd6LWvJPelSDGRjjCDWmujANBgkq +hkiG9w0BAQUFAAOCAQEAPNV3PdrfibqHDAhUaiBQkr6wQT25JmSDCi/oQMCXKCeC +MErJk/9q56YAf4lCmtYR5VPOL8zy2gXE/uJQxDqGfczafhAJO5I1KlOy/usrBdls +XebQ79NqZp4VKIV66IIArB6nCWlWQtNoURi+VJq/REG6Sb4gumlc7rh3zc5sH62D +lhh9DrUUOYTxKOkto557HnpyWoOzeW/vtPzQCqVYT0bf+215WfKEIlKuD8z7fDvn +aspHYcN6+NOSBB+4IIThNlQWx0DeO4pz3N/GCUzf7Nr/1FNCocnyYh0igzyXxfkZ +YiesZSLX0zzG5Y6yU8xJzrww/nsOM5D77dIUkR8Hrw== +-----END CERTIFICATE----- + +# Issuer: O=SECOM Trust Systems CO.,LTD. OU=Security Communication RootCA2 +# Subject: O=SECOM Trust Systems CO.,LTD. OU=Security Communication RootCA2 +# Label: "Security Communication RootCA2" +# Serial: 0 +# MD5 Fingerprint: 6c:39:7d:a4:0e:55:59:b2:3f:d6:41:b1:12:50:de:43 +# SHA1 Fingerprint: 5f:3b:8c:f2:f8:10:b3:7d:78:b4:ce:ec:19:19:c3:73:34:b9:c7:74 +# SHA256 Fingerprint: 51:3b:2c:ec:b8:10:d4:cd:e5:dd:85:39:1a:df:c6:c2:dd:60:d8:7b:b7:36:d2:b5:21:48:4a:a4:7a:0e:be:f6 +-----BEGIN CERTIFICATE----- +MIIDdzCCAl+gAwIBAgIBADANBgkqhkiG9w0BAQsFADBdMQswCQYDVQQGEwJKUDEl +MCMGA1UEChMcU0VDT00gVHJ1c3QgU3lzdGVtcyBDTy4sTFRELjEnMCUGA1UECxMe +U2VjdXJpdHkgQ29tbXVuaWNhdGlvbiBSb290Q0EyMB4XDTA5MDUyOTA1MDAzOVoX +DTI5MDUyOTA1MDAzOVowXTELMAkGA1UEBhMCSlAxJTAjBgNVBAoTHFNFQ09NIFRy +dXN0IFN5c3RlbXMgQ08uLExURC4xJzAlBgNVBAsTHlNlY3VyaXR5IENvbW11bmlj +YXRpb24gUm9vdENBMjCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoCggEBANAV +OVKxUrO6xVmCxF1SrjpDZYBLx/KWvNs2l9amZIyoXvDjChz335c9S672XewhtUGr +zbl+dp+++T42NKA7wfYxEUV0kz1XgMX5iZnK5atq1LXaQZAQwdbWQonCv/Q4EpVM +VAX3NuRFg3sUZdbcDE3R3n4MqzvEFb46VqZab3ZpUql6ucjrappdUtAtCms1FgkQ 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2b:9b:9e:e4:7b:6c:1f:00:72:1a:cc:c1:77:79:df:6a +# SHA1 Fingerprint: 59:0d:2d:7d:88:4f:40:2e:61:7e:a5:62:32:17:65:cf:17:d8:94:e9 +# SHA256 Fingerprint: 91:e2:f5:78:8d:58:10:eb:a7:ba:58:73:7d:e1:54:8a:8e:ca:cd:01:45:98:bc:0b:14:3e:04:1b:17:05:25:52 +-----BEGIN CERTIFICATE----- +MIIDwzCCAqugAwIBAgIBATANBgkqhkiG9w0BAQsFADCBgjELMAkGA1UEBhMCREUx +KzApBgNVBAoMIlQtU3lzdGVtcyBFbnRlcnByaXNlIFNlcnZpY2VzIEdtYkgxHzAd +BgNVBAsMFlQtU3lzdGVtcyBUcnVzdCBDZW50ZXIxJTAjBgNVBAMMHFQtVGVsZVNl +YyBHbG9iYWxSb290IENsYXNzIDIwHhcNMDgxMDAxMTA0MDE0WhcNMzMxMDAxMjM1 +OTU5WjCBgjELMAkGA1UEBhMCREUxKzApBgNVBAoMIlQtU3lzdGVtcyBFbnRlcnBy +aXNlIFNlcnZpY2VzIEdtYkgxHzAdBgNVBAsMFlQtU3lzdGVtcyBUcnVzdCBDZW50 +ZXIxJTAjBgNVBAMMHFQtVGVsZVNlYyBHbG9iYWxSb290IENsYXNzIDIwggEiMA0G +CSqGSIb3DQEBAQUAA4IBDwAwggEKAoIBAQCqX9obX+hzkeXaXPSi5kfl82hVYAUd +AqSzm1nzHoqvNK38DcLZSBnuaY/JIPwhqgcZ7bBcrGXHX+0CfHt8LRvWurmAwhiC +FoT6ZrAIxlQjgeTNuUk/9k9uN0goOA/FvudocP05l03Sx5iRUKrERLMjfTlH6VJi 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Subject: CN=QuoVadis Root CA 2 G3 O=QuoVadis Limited +# Label: "QuoVadis Root CA 2 G3" +# Serial: 390156079458959257446133169266079962026824725800 +# MD5 Fingerprint: af:0c:86:6e:bf:40:2d:7f:0b:3e:12:50:ba:12:3d:06 +# SHA1 Fingerprint: 09:3c:61:f3:8b:8b:dc:7d:55:df:75:38:02:05:00:e1:25:f5:c8:36 +# SHA256 Fingerprint: 8f:e4:fb:0a:f9:3a:4d:0d:67:db:0b:eb:b2:3e:37:c7:1b:f3:25:dc:bc:dd:24:0e:a0:4d:af:58:b4:7e:18:40 +-----BEGIN CERTIFICATE----- +MIIFYDCCA0igAwIBAgIURFc0JFuBiZs18s64KztbpybwdSgwDQYJKoZIhvcNAQEL +BQAwSDELMAkGA1UEBhMCQk0xGTAXBgNVBAoTEFF1b1ZhZGlzIExpbWl0ZWQxHjAc +BgNVBAMTFVF1b1ZhZGlzIFJvb3QgQ0EgMiBHMzAeFw0xMjAxMTIxODU5MzJaFw00 +MjAxMTIxODU5MzJaMEgxCzAJBgNVBAYTAkJNMRkwFwYDVQQKExBRdW9WYWRpcyBM +aW1pdGVkMR4wHAYDVQQDExVRdW9WYWRpcyBSb290IENBIDIgRzMwggIiMA0GCSqG +SIb3DQEBAQUAA4ICDwAwggIKAoICAQChriWyARjcV4g/Ruv5r+LrI3HimtFhZiFf +qq8nUeVuGxbULX1QsFN3vXg6YOJkApt8hpvWGo6t/x8Vf9WVHhLL5hSEBMHfNrMW +n4rjyduYNM7YMxcoRvynyfDStNVNCXJJ+fKH46nafaF9a7I6JaltUkSs+L5u+9ym 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O=DigiCert Inc OU=www.digicert.com +# Label: "DigiCert Assured ID Root G2" +# Serial: 15385348160840213938643033620894905419 +# MD5 Fingerprint: 92:38:b9:f8:63:24:82:65:2c:57:33:e6:fe:81:8f:9d +# SHA1 Fingerprint: a1:4b:48:d9:43:ee:0a:0e:40:90:4f:3c:e0:a4:c0:91:93:51:5d:3f +# SHA256 Fingerprint: 7d:05:eb:b6:82:33:9f:8c:94:51:ee:09:4e:eb:fe:fa:79:53:a1:14:ed:b2:f4:49:49:45:2f:ab:7d:2f:c1:85 +-----BEGIN CERTIFICATE----- +MIIDljCCAn6gAwIBAgIQC5McOtY5Z+pnI7/Dr5r0SzANBgkqhkiG9w0BAQsFADBl +MQswCQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3 +d3cuZGlnaWNlcnQuY29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJv +b3QgRzIwHhcNMTMwODAxMTIwMDAwWhcNMzgwMTE1MTIwMDAwWjBlMQswCQYDVQQG +EwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cuZGlnaWNl +cnQuY29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJvb3QgRzIwggEi +MA0GCSqGSIb3DQEBAQUAA4IBDwAwggEKAoIBAQDZ5ygvUj82ckmIkzTz+GoeMVSA +n61UQbVH35ao1K+ALbkKz3X9iaV9JPrjIgwrvJUXCzO/GU1BBpAAvQxNEP4Htecc 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15459312981008553731928384953135426796 +# MD5 Fingerprint: 7c:7f:65:31:0c:81:df:8d:ba:3e:99:e2:5c:ad:6e:fb +# SHA1 Fingerprint: f5:17:a2:4f:9a:48:c6:c9:f8:a2:00:26:9f:dc:0f:48:2c:ab:30:89 +# SHA256 Fingerprint: 7e:37:cb:8b:4c:47:09:0c:ab:36:55:1b:a6:f4:5d:b8:40:68:0f:ba:16:6a:95:2d:b1:00:71:7f:43:05:3f:c2 +-----BEGIN CERTIFICATE----- +MIICRjCCAc2gAwIBAgIQC6Fa+h3foLVJRK/NJKBs7DAKBggqhkjOPQQDAzBlMQsw +CQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cu +ZGlnaWNlcnQuY29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJvb3Qg +RzMwHhcNMTMwODAxMTIwMDAwWhcNMzgwMTE1MTIwMDAwWjBlMQswCQYDVQQGEwJV +UzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cuZGlnaWNlcnQu +Y29tMSQwIgYDVQQDExtEaWdpQ2VydCBBc3N1cmVkIElEIFJvb3QgRzMwdjAQBgcq +hkjOPQIBBgUrgQQAIgNiAAQZ57ysRGXtzbg/WPuNsVepRC0FFfLvC/8QdJ+1YlJf +Zn4f5dwbRXkLzMZTCp2NXQLZqVneAlr2lSoOjThKiknGvMYDOAdfVdp+CW7if17Q +RSAPWXYQ1qAk8C3eNvJsKTmjQjBAMA8GA1UdEwEB/wQFMAMBAf8wDgYDVR0PAQH/ +BAQDAgGGMB0GA1UdDgQWBBTL0L2p4ZgFUaFNN6KDec6NHSrkhDAKBggqhkjOPQQD 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+-----END CERTIFICATE----- + +# Issuer: CN=DigiCert Global Root G3 O=DigiCert Inc OU=www.digicert.com +# Subject: CN=DigiCert Global Root G3 O=DigiCert Inc OU=www.digicert.com +# Label: "DigiCert Global Root G3" +# Serial: 7089244469030293291760083333884364146 +# MD5 Fingerprint: f5:5d:a4:50:a5:fb:28:7e:1e:0f:0d:cc:96:57:56:ca +# SHA1 Fingerprint: 7e:04:de:89:6a:3e:66:6d:00:e6:87:d3:3f:fa:d9:3b:e8:3d:34:9e +# SHA256 Fingerprint: 31:ad:66:48:f8:10:41:38:c7:38:f3:9e:a4:32:01:33:39:3e:3a:18:cc:02:29:6e:f9:7c:2a:c9:ef:67:31:d0 +-----BEGIN CERTIFICATE----- +MIICPzCCAcWgAwIBAgIQBVVWvPJepDU1w6QP1atFcjAKBggqhkjOPQQDAzBhMQsw +CQYDVQQGEwJVUzEVMBMGA1UEChMMRGlnaUNlcnQgSW5jMRkwFwYDVQQLExB3d3cu +ZGlnaWNlcnQuY29tMSAwHgYDVQQDExdEaWdpQ2VydCBHbG9iYWwgUm9vdCBHMzAe +Fw0xMzA4MDExMjAwMDBaFw0zODAxMTUxMjAwMDBaMGExCzAJBgNVBAYTAlVTMRUw +EwYDVQQKEwxEaWdpQ2VydCBJbmMxGTAXBgNVBAsTEHd3dy5kaWdpY2VydC5jb20x +IDAeBgNVBAMTF0RpZ2lDZXJ0IEdsb2JhbCBSb290IEczMHYwEAYHKoZIzj0CAQYF 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+ +# Issuer: CN=COMODO RSA Certification Authority O=COMODO CA Limited +# Subject: CN=COMODO RSA Certification Authority O=COMODO CA Limited +# Label: "COMODO RSA Certification Authority" +# Serial: 101909084537582093308941363524873193117 +# MD5 Fingerprint: 1b:31:b0:71:40:36:cc:14:36:91:ad:c4:3e:fd:ec:18 +# SHA1 Fingerprint: af:e5:d2:44:a8:d1:19:42:30:ff:47:9f:e2:f8:97:bb:cd:7a:8c:b4 +# SHA256 Fingerprint: 52:f0:e1:c4:e5:8e:c6:29:29:1b:60:31:7f:07:46:71:b8:5d:7e:a8:0d:5b:07:27:34:63:53:4b:32:b4:02:34 +-----BEGIN CERTIFICATE----- +MIIF2DCCA8CgAwIBAgIQTKr5yttjb+Af907YWwOGnTANBgkqhkiG9w0BAQwFADCB +hTELMAkGA1UEBhMCR0IxGzAZBgNVBAgTEkdyZWF0ZXIgTWFuY2hlc3RlcjEQMA4G +A1UEBxMHU2FsZm9yZDEaMBgGA1UEChMRQ09NT0RPIENBIExpbWl0ZWQxKzApBgNV +BAMTIkNPTU9ETyBSU0EgQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkwHhcNMTAwMTE5 +MDAwMDAwWhcNMzgwMTE4MjM1OTU5WjCBhTELMAkGA1UEBhMCR0IxGzAZBgNVBAgT +EkdyZWF0ZXIgTWFuY2hlc3RlcjEQMA4GA1UEBxMHU2FsZm9yZDEaMBgGA1UEChMR +Q09NT0RPIENBIExpbWl0ZWQxKzApBgNVBAMTIkNPTU9ETyBSU0EgQ2VydGlmaWNh 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2b:8f:1b:57:33:0d:bb:a2:d0:7a:6c:51:f7:0e:e9:0d:da:b9:ad:8e +# SHA256 Fingerprint: e7:93:c9:b0:2f:d8:aa:13:e2:1c:31:22:8a:cc:b0:81:19:64:3b:74:9c:89:89:64:b1:74:6d:46:c3:d4:cb:d2 +-----BEGIN CERTIFICATE----- +MIIF3jCCA8agAwIBAgIQAf1tMPyjylGoG7xkDjUDLTANBgkqhkiG9w0BAQwFADCB +iDELMAkGA1UEBhMCVVMxEzARBgNVBAgTCk5ldyBKZXJzZXkxFDASBgNVBAcTC0pl +cnNleSBDaXR5MR4wHAYDVQQKExVUaGUgVVNFUlRSVVNUIE5ldHdvcmsxLjAsBgNV +BAMTJVVTRVJUcnVzdCBSU0EgQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkwHhcNMTAw +MjAxMDAwMDAwWhcNMzgwMTE4MjM1OTU5WjCBiDELMAkGA1UEBhMCVVMxEzARBgNV +BAgTCk5ldyBKZXJzZXkxFDASBgNVBAcTC0plcnNleSBDaXR5MR4wHAYDVQQKExVU +aGUgVVNFUlRSVVNUIE5ldHdvcmsxLjAsBgNVBAMTJVVTRVJUcnVzdCBSU0EgQ2Vy +dGlmaWNhdGlvbiBBdXRob3JpdHkwggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAwggIK +AoICAQCAEmUXNg7D2wiz0KxXDXbtzSfTTK1Qg2HiqiBNCS1kCdzOiZ/MPans9s/B +3PHTsdZ7NygRK0faOca8Ohm0X6a9fZ2jY0K2dvKpOyuR+OJv0OwWIJAJPuLodMkY +tJHUYmTbf6MG8YgYapAiPLz+E/CHFHv25B+O1ORRxhFnRghRy4YUVD+8M/5+bJz/ +Fp0YvVGONaanZshyZ9shZrHUm3gDwFA66Mzw3LyeTP6vBZY1H1dat//O+T23LLb2 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Root CA - R5 +# Label: "GlobalSign ECC Root CA - R5" +# Serial: 32785792099990507226680698011560947931244 +# MD5 Fingerprint: 9f:ad:3b:1c:02:1e:8a:ba:17:74:38:81:0c:a2:bc:08 +# SHA1 Fingerprint: 1f:24:c6:30:cd:a4:18:ef:20:69:ff:ad:4f:dd:5f:46:3a:1b:69:aa +# SHA256 Fingerprint: 17:9f:bc:14:8a:3d:d0:0f:d2:4e:a1:34:58:cc:43:bf:a7:f5:9c:81:82:d7:83:a5:13:f6:eb:ec:10:0c:89:24 +-----BEGIN CERTIFICATE----- +MIICHjCCAaSgAwIBAgIRYFlJ4CYuu1X5CneKcflK2GwwCgYIKoZIzj0EAwMwUDEk +MCIGA1UECxMbR2xvYmFsU2lnbiBFQ0MgUm9vdCBDQSAtIFI1MRMwEQYDVQQKEwpH +bG9iYWxTaWduMRMwEQYDVQQDEwpHbG9iYWxTaWduMB4XDTEyMTExMzAwMDAwMFoX +DTM4MDExOTAzMTQwN1owUDEkMCIGA1UECxMbR2xvYmFsU2lnbiBFQ0MgUm9vdCBD +QSAtIFI1MRMwEQYDVQQKEwpHbG9iYWxTaWduMRMwEQYDVQQDEwpHbG9iYWxTaWdu +MHYwEAYHKoZIzj0CAQYFK4EEACIDYgAER0UOlvt9Xb/pOdEh+J8LttV7HpI6SFkc +8GIxLcB6KP4ap1yztsyX50XUWPrRd21DosCHZTQKH3rd6zwzocWdTaRvQZU4f8ke +hOvRnkmSh5SHDDqFSmafnVmTTZdhBoZKo0IwQDAOBgNVHQ8BAf8EBAMCAQYwDwYD +VR0TAQH/BAUwAwEB/zAdBgNVHQ4EFgQUPeYpSJvqB8ohREom3m7e0oPQn1kwCgYI 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e3:5d:28:41:9e:d0:20:25:cf:a6:90:38:cd:62:39:62:45:8d:a5:c6:95:fb:de:a3:c2:2b:0b:fb:25:89:70:92 +-----BEGIN CERTIFICATE----- +MIIB8jCCAXigAwIBAgITBmyf18G7EEwpQ+Vxe3ssyBrBDjAKBggqhkjOPQQDAzA5 +MQswCQYDVQQGEwJVUzEPMA0GA1UEChMGQW1hem9uMRkwFwYDVQQDExBBbWF6b24g +Um9vdCBDQSA0MB4XDTE1MDUyNjAwMDAwMFoXDTQwMDUyNjAwMDAwMFowOTELMAkG +A1UEBhMCVVMxDzANBgNVBAoTBkFtYXpvbjEZMBcGA1UEAxMQQW1hem9uIFJvb3Qg +Q0EgNDB2MBAGByqGSM49AgEGBSuBBAAiA2IABNKrijdPo1MN/sGKe0uoe0ZLY7Bi +9i0b2whxIdIA6GO9mif78DluXeo9pcmBqqNbIJhFXRbb/egQbeOc4OO9X4Ri83Bk +M6DLJC9wuoihKqB1+IGuYgbEgds5bimwHvouXKNCMEAwDwYDVR0TAQH/BAUwAwEB +/zAOBgNVHQ8BAf8EBAMCAYYwHQYDVR0OBBYEFNPsxzplbszh2naaVvuc84ZtV+WB +MAoGCCqGSM49BAMDA2gAMGUCMDqLIfG9fhGt0O9Yli/W651+kI0rz2ZVwyzjKKlw +CkcO8DdZEv8tmZQoTipPNU0zWgIxAOp1AE47xDqUEpHJWEadIRNyp4iciuRMStuW +1KyLa2tJElMzrdfkviT8tQp21KW8EA== +-----END CERTIFICATE----- + +# Issuer: CN=TUBITAK Kamu SM SSL Kok Sertifikasi - Surum 1 O=Turkiye Bilimsel ve Teknolojik Arastirma Kurumu - TUBITAK OU=Kamu Sertifikasyon Merkezi - Kamu SM +# Subject: CN=TUBITAK Kamu SM SSL Kok Sertifikasi - Surum 1 O=Turkiye Bilimsel ve Teknolojik Arastirma Kurumu - TUBITAK OU=Kamu Sertifikasyon Merkezi - Kamu SM +# Label: "TUBITAK Kamu SM SSL Kok Sertifikasi - Surum 1" +# Serial: 1 +# MD5 Fingerprint: dc:00:81:dc:69:2f:3e:2f:b0:3b:f6:3d:5a:91:8e:49 +# SHA1 Fingerprint: 31:43:64:9b:ec:ce:27:ec:ed:3a:3f:0b:8f:0d:e4:e8:91:dd:ee:ca +# SHA256 Fingerprint: 46:ed:c3:68:90:46:d5:3a:45:3f:b3:10:4a:b8:0d:ca:ec:65:8b:26:60:ea:16:29:dd:7e:86:79:90:64:87:16 +-----BEGIN CERTIFICATE----- +MIIEYzCCA0ugAwIBAgIBATANBgkqhkiG9w0BAQsFADCB0jELMAkGA1UEBhMCVFIx +GDAWBgNVBAcTD0dlYnplIC0gS29jYWVsaTFCMEAGA1UEChM5VHVya2l5ZSBCaWxp +bXNlbCB2ZSBUZWtub2xvamlrIEFyYXN0aXJtYSBLdXJ1bXUgLSBUVUJJVEFLMS0w +KwYDVQQLEyRLYW11IFNlcnRpZmlrYXN5b24gTWVya2V6aSAtIEthbXUgU00xNjA0 +BgNVBAMTLVRVQklUQUsgS2FtdSBTTSBTU0wgS29rIFNlcnRpZmlrYXNpIC0gU3Vy +dW0gMTAeFw0xMzExMjUwODI1NTVaFw00MzEwMjUwODI1NTVaMIHSMQswCQYDVQQG +EwJUUjEYMBYGA1UEBxMPR2ViemUgLSBLb2NhZWxpMUIwQAYDVQQKEzlUdXJraXll 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b7:ab:33:08:d1:ea:44:77:ba:14:80:12:5a:6f:bd:a9:36:49:0c:bb +# SHA256 Fingerprint: 85:66:6a:56:2e:e0:be:5c:e9:25:c1:d8:89:0a:6f:76:a8:7e:c1:6d:4d:7d:5f:29:ea:74:19:cf:20:12:3b:69 +-----BEGIN CERTIFICATE----- +MIIF3TCCA8WgAwIBAgIIeyyb0xaAMpkwDQYJKoZIhvcNAQELBQAwfDELMAkGA1UE +BhMCVVMxDjAMBgNVBAgMBVRleGFzMRAwDgYDVQQHDAdIb3VzdG9uMRgwFgYDVQQK +DA9TU0wgQ29ycG9yYXRpb24xMTAvBgNVBAMMKFNTTC5jb20gUm9vdCBDZXJ0aWZp +Y2F0aW9uIEF1dGhvcml0eSBSU0EwHhcNMTYwMjEyMTczOTM5WhcNNDEwMjEyMTcz +OTM5WjB8MQswCQYDVQQGEwJVUzEOMAwGA1UECAwFVGV4YXMxEDAOBgNVBAcMB0hv +dXN0b24xGDAWBgNVBAoMD1NTTCBDb3Jwb3JhdGlvbjExMC8GA1UEAwwoU1NMLmNv +bSBSb290IENlcnRpZmljYXRpb24gQXV0aG9yaXR5IFJTQTCCAiIwDQYJKoZIhvcN +AQEBBQADggIPADCCAgoCggIBAPkP3aMrfcvQKv7sZ4Wm5y4bunfh4/WvpOz6Sl2R +xFdHaxh3a3by/ZPkPQ/CFp4LZsNWlJ4Xg4XOVu/yFv0AYvUiCVToZRdOQbngT0aX +qhvIuG5iXmmxX9sqAn78bMrzQdjt0Oj8P2FI7bADFB0QDksZ4LtO7IZl/zbzXmcC +C52GVWH9ejjt/uIZALdvoVBidXQ8oPrIJZK0bnoix/geoeOy3ZExqysdBP+lSgQ3 +6YWkMyv94tZVNHwZpEpox7Ko07fKoZOI68GXvIz5HdkihCR0xwQ9aqkpk8zruFvh 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Authority RSA R2" +# Serial: 6248227494352943350 +# MD5 Fingerprint: e1:1e:31:58:1a:ae:54:53:02:f6:17:6a:11:7b:4d:95 +# SHA1 Fingerprint: 74:3a:f0:52:9b:d0:32:a0:f4:4a:83:cd:d4:ba:a9:7b:7c:2e:c4:9a +# SHA256 Fingerprint: 2e:7b:f1:6c:c2:24:85:a7:bb:e2:aa:86:96:75:07:61:b0:ae:39:be:3b:2f:e9:d0:cc:6d:4e:f7:34:91:42:5c +-----BEGIN CERTIFICATE----- +MIIF6zCCA9OgAwIBAgIIVrYpzTS8ePYwDQYJKoZIhvcNAQELBQAwgYIxCzAJBgNV +BAYTAlVTMQ4wDAYDVQQIDAVUZXhhczEQMA4GA1UEBwwHSG91c3RvbjEYMBYGA1UE +CgwPU1NMIENvcnBvcmF0aW9uMTcwNQYDVQQDDC5TU0wuY29tIEVWIFJvb3QgQ2Vy +dGlmaWNhdGlvbiBBdXRob3JpdHkgUlNBIFIyMB4XDTE3MDUzMTE4MTQzN1oXDTQy +MDUzMDE4MTQzN1owgYIxCzAJBgNVBAYTAlVTMQ4wDAYDVQQIDAVUZXhhczEQMA4G +A1UEBwwHSG91c3RvbjEYMBYGA1UECgwPU1NMIENvcnBvcmF0aW9uMTcwNQYDVQQD +DC5TU0wuY29tIEVWIFJvb3QgQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkgUlNBIFIy +MIICIjANBgkqhkiG9w0BAQEFAAOCAg8AMIICCgKCAgEAjzZlQOHWTcDXtOlG2mvq +M0fNTPl9fb69LT3w23jhhqXZuglXaO1XPqDQCEGD5yhBJB/jchXQARr7XnAjssuf 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22:a2:c1:f7:bd:ed:70:4c:c1:e7:01:b5:f4:08:c3:10:88:0f:e9:56:b5:de:2a:4a:44:f9:9c:87:3a:25:a7:c8 +-----BEGIN CERTIFICATE----- +MIIClDCCAhqgAwIBAgIILCmcWxbtBZUwCgYIKoZIzj0EAwIwfzELMAkGA1UEBhMC +VVMxDjAMBgNVBAgMBVRleGFzMRAwDgYDVQQHDAdIb3VzdG9uMRgwFgYDVQQKDA9T +U0wgQ29ycG9yYXRpb24xNDAyBgNVBAMMK1NTTC5jb20gRVYgUm9vdCBDZXJ0aWZp +Y2F0aW9uIEF1dGhvcml0eSBFQ0MwHhcNMTYwMjEyMTgxNTIzWhcNNDEwMjEyMTgx +NTIzWjB/MQswCQYDVQQGEwJVUzEOMAwGA1UECAwFVGV4YXMxEDAOBgNVBAcMB0hv +dXN0b24xGDAWBgNVBAoMD1NTTCBDb3Jwb3JhdGlvbjE0MDIGA1UEAwwrU1NMLmNv +bSBFViBSb290IENlcnRpZmljYXRpb24gQXV0aG9yaXR5IEVDQzB2MBAGByqGSM49 +AgEGBSuBBAAiA2IABKoSR5CYG/vvw0AHgyBO8TCCogbR8pKGYfL2IWjKAMTH6kMA +VIbc/R/fALhBYlzccBYy3h+Z1MzFB8gIH2EWB1E9fVwHU+M1OIzfzZ/ZLg1Kthku +WnBaBu2+8KGwytAJKaNjMGEwHQYDVR0OBBYEFFvKXuXe0oGqzagtZFG22XKbl+ZP +MA8GA1UdEwEB/wQFMAMBAf8wHwYDVR0jBBgwFoAUW8pe5d7SgarNqC1kUbbZcpuX +5k8wDgYDVR0PAQH/BAQDAgGGMAoGCCqGSM49BAMCA2gAMGUCMQCK5kCJN+vp1RPZ +ytRrJPOwPYdGWBrssd9v+1a6cGvHOMzosYxPD/fxZ3YOg9AeUY8CMD32IygmTMZg 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e0:11:84:5e:34:de:be:88:81:b9:9c:f6:16:26:d1:96:1f:c3:b9:31 +# SHA256 Fingerprint: 85:60:f9:1c:36:24:da:ba:95:70:b5:fe:a0:db:e3:6f:f1:1a:83:23:be:94:86:85:4f:b3:f3:4a:55:71:19:8d +-----BEGIN CERTIFICATE----- +MIICaTCCAe+gAwIBAgIQISpWDK7aDKtARb8roi066jAKBggqhkjOPQQDAzBtMQsw +CQYDVQQGEwJDSDEQMA4GA1UEChMHV0lTZUtleTEiMCAGA1UECxMZT0lTVEUgRm91 +bmRhdGlvbiBFbmRvcnNlZDEoMCYGA1UEAxMfT0lTVEUgV0lTZUtleSBHbG9iYWwg +Um9vdCBHQyBDQTAeFw0xNzA1MDkwOTQ4MzRaFw00MjA1MDkwOTU4MzNaMG0xCzAJ +BgNVBAYTAkNIMRAwDgYDVQQKEwdXSVNlS2V5MSIwIAYDVQQLExlPSVNURSBGb3Vu +ZGF0aW9uIEVuZG9yc2VkMSgwJgYDVQQDEx9PSVNURSBXSVNlS2V5IEdsb2JhbCBS +b290IEdDIENBMHYwEAYHKoZIzj0CAQYFK4EEACIDYgAETOlQwMYPchi82PG6s4ni +eUqjFqdrVCTbUf/q9Akkwwsin8tqJ4KBDdLArzHkdIJuyiXZjHWd8dvQmqJLIX4W +p2OQ0jnUsYd4XxiWD1AbNTcPasbc2RNNpI6QN+a9WzGRo1QwUjAOBgNVHQ8BAf8E +BAMCAQYwDwYDVR0TAQH/BAUwAwEB/zAdBgNVHQ4EFgQUSIcUrOPDnpBgOtfKie7T +rYy0UGYwEAYJKwYBBAGCNxUBBAMCAQAwCgYIKoZIzj0EAwMDaAAwZQIwJsdpW9zV +57LnyAyMjMPdeYwbY9XJUpROTYJKcx6ygISpJcBMWm1JKWB4E+J+SOtkAjEA2zQg 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CERTIFICATE----- +MIIFWjCCA0KgAwIBAgIQT9Irj/VkyDOeTzRYZiNwYDANBgkqhkiG9w0BAQsFADBH +MQswCQYDVQQGEwJDTjERMA8GA1UECgwIVW5pVHJ1c3QxJTAjBgNVBAMMHFVDQSBF +eHRlbmRlZCBWYWxpZGF0aW9uIFJvb3QwHhcNMTUwMzEzMDAwMDAwWhcNMzgxMjMx +MDAwMDAwWjBHMQswCQYDVQQGEwJDTjERMA8GA1UECgwIVW5pVHJ1c3QxJTAjBgNV +BAMMHFVDQSBFeHRlbmRlZCBWYWxpZGF0aW9uIFJvb3QwggIiMA0GCSqGSIb3DQEB +AQUAA4ICDwAwggIKAoICAQCpCQcoEwKwmeBkqh5DFnpzsZGgdT6o+uM4AHrsiWog +D4vFsJszA1qGxliG1cGFu0/GnEBNyr7uaZa4rYEwmnySBesFK5pI0Lh2PpbIILvS +sPGP2KxFRv+qZ2C0d35qHzwaUnoEPQc8hQ2E0B92CvdqFN9y4zR8V05WAT558aop +O2z6+I9tTcg1367r3CTueUWnhbYFiN6IXSV8l2RnCdm/WhUFhvMJHuxYMjMR83dk +sHYf5BA1FxvyDrFspCqjc/wJHx4yGVMR59mzLC52LqGj3n5qiAno8geK+LLNEOfi +c0CTuwjRP+H8C5SzJe98ptfRr5//lpr1kXuYC3fUfugH0mK1lTnj8/FtDw5lhIpj +VMWAtuCeS31HJqcBCF3RiJ7XwzJE+oJKCmhUfzhTA8ykADNkUVkLo4KRel7sFsLz +KuZi2irbWWIQJUoqgQtHB0MGcIfS+pMRKXpITeuUx3BNr2fVUbGAIAEBtHoIppB/ +TuDvB0GHr2qlXov7z1CymlSvw4m6WC31MJixNnI5fkkE/SmnTHnkBVfblLkWU41G 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Issuer: CN=Certigna Root CA O=Dhimyotis OU=0002 48146308100036 +# Subject: CN=Certigna Root CA O=Dhimyotis OU=0002 48146308100036 +# Label: "Certigna Root CA" +# Serial: 269714418870597844693661054334862075617 +# MD5 Fingerprint: 0e:5c:30:62:27:eb:5b:bc:d7:ae:62:ba:e9:d5:df:77 +# SHA1 Fingerprint: 2d:0d:52:14:ff:9e:ad:99:24:01:74:20:47:6e:6c:85:27:27:f5:43 +# SHA256 Fingerprint: d4:8d:3d:23:ee:db:50:a4:59:e5:51:97:60:1c:27:77:4b:9d:7b:18:c9:4d:5a:05:95:11:a1:02:50:b9:31:68 +-----BEGIN CERTIFICATE----- +MIIGWzCCBEOgAwIBAgIRAMrpG4nxVQMNo+ZBbcTjpuEwDQYJKoZIhvcNAQELBQAw +WjELMAkGA1UEBhMCRlIxEjAQBgNVBAoMCURoaW15b3RpczEcMBoGA1UECwwTMDAw +MiA0ODE0NjMwODEwMDAzNjEZMBcGA1UEAwwQQ2VydGlnbmEgUm9vdCBDQTAeFw0x +MzEwMDEwODMyMjdaFw0zMzEwMDEwODMyMjdaMFoxCzAJBgNVBAYTAkZSMRIwEAYD +VQQKDAlEaGlteW90aXMxHDAaBgNVBAsMEzAwMDIgNDgxNDYzMDgxMDAwMzYxGTAX +BgNVBAMMEENlcnRpZ25hIFJvb3QgQ0EwggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAw +ggIKAoICAQDNGDllGlmx6mQWDoyUJJV8g9PFOSbcDO8WV43X2KyjQn+Cyu3NW9sO 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Root CA - G1" +# Serial: 235931866688319308814040 +# MD5 Fingerprint: 9c:42:84:57:dd:cb:0b:a7:2e:95:ad:b6:f3:da:bc:ac +# SHA1 Fingerprint: 8a:c7:ad:8f:73:ac:4e:c1:b5:75:4d:a5:40:f4:fc:cf:7c:b5:8e:8c +# SHA256 Fingerprint: 40:f6:af:03:46:a9:9a:a1:cd:1d:55:5a:4e:9c:ce:62:c7:f9:63:46:03:ee:40:66:15:83:3d:c8:c8:d0:03:67 +-----BEGIN CERTIFICATE----- +MIIDlDCCAnygAwIBAgIKMfXkYgxsWO3W2DANBgkqhkiG9w0BAQsFADBnMQswCQYD +VQQGEwJJTjETMBEGA1UECxMKZW1TaWduIFBLSTElMCMGA1UEChMcZU11ZGhyYSBU +ZWNobm9sb2dpZXMgTGltaXRlZDEcMBoGA1UEAxMTZW1TaWduIFJvb3QgQ0EgLSBH +MTAeFw0xODAyMTgxODMwMDBaFw00MzAyMTgxODMwMDBaMGcxCzAJBgNVBAYTAklO +MRMwEQYDVQQLEwplbVNpZ24gUEtJMSUwIwYDVQQKExxlTXVkaHJhIFRlY2hub2xv +Z2llcyBMaW1pdGVkMRwwGgYDVQQDExNlbVNpZ24gUm9vdCBDQSAtIEcxMIIBIjAN +BgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAk0u76WaK7p1b1TST0Bsew+eeuGQz +f2N4aLTNLnF115sgxk0pvLZoYIr3IZpWNVrzdr3YzZr/k1ZLpVkGoZM0Kd0WNHVO +8oG0x5ZOrRkVUkr+PHB1cM2vK6sVmjM8qrOLqs1D/fXqcP/tzxE7lM5OMhbTI0Aq 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ce:0b:72:d1:9f:88:8e:d0:50:03:e8:e3:b8:8b:67:40 +# SHA1 Fingerprint: 30:43:fa:4f:f2:57:dc:a0:c3:80:ee:2e:58:ea:78:b2:3f:e6:bb:c1 +# SHA256 Fingerprint: 86:a1:ec:ba:08:9c:4a:8d:3b:be:27:34:c6:12:ba:34:1d:81:3e:04:3c:f9:e8:a8:62:cd:5c:57:a3:6b:be:6b +-----BEGIN CERTIFICATE----- +MIICTjCCAdOgAwIBAgIKPPYHqWhwDtqLhDAKBggqhkjOPQQDAzBrMQswCQYDVQQG +EwJJTjETMBEGA1UECxMKZW1TaWduIFBLSTElMCMGA1UEChMcZU11ZGhyYSBUZWNo +bm9sb2dpZXMgTGltaXRlZDEgMB4GA1UEAxMXZW1TaWduIEVDQyBSb290IENBIC0g +RzMwHhcNMTgwMjE4MTgzMDAwWhcNNDMwMjE4MTgzMDAwWjBrMQswCQYDVQQGEwJJ +TjETMBEGA1UECxMKZW1TaWduIFBLSTElMCMGA1UEChMcZU11ZGhyYSBUZWNobm9s +b2dpZXMgTGltaXRlZDEgMB4GA1UEAxMXZW1TaWduIEVDQyBSb290IENBIC0gRzMw +djAQBgcqhkjOPQIBBgUrgQQAIgNiAAQjpQy4LRL1KPOxst3iAhKAnjlfSU2fySU0 +WXTsuwYc58Byr+iuL+FBVIcUqEqy6HyC5ltqtdyzdc6LBtCGI79G1Y4PPwT01xyS +fvalY8L1X44uT6EYGQIrMgqCZH0Wk9GjQjBAMB0GA1UdDgQWBBR8XQKEE9TMipuB +zhccLikenEhjQjAOBgNVHQ8BAf8EBAMCAQYwDwYDVR0TAQH/BAUwAwEB/zAKBggq 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CN=emSign ECC Root CA - C3 O=eMudhra Inc OU=emSign PKI +# Subject: CN=emSign ECC Root CA - C3 O=eMudhra Inc OU=emSign PKI +# Label: "emSign ECC Root CA - C3" +# Serial: 582948710642506000014504 +# MD5 Fingerprint: 3e:53:b3:a3:81:ee:d7:10:f8:d3:b0:1d:17:92:f5:d5 +# SHA1 Fingerprint: b6:af:43:c2:9b:81:53:7d:f6:ef:6b:c3:1f:1f:60:15:0c:ee:48:66 +# SHA256 Fingerprint: bc:4d:80:9b:15:18:9d:78:db:3e:1d:8c:f4:f9:72:6a:79:5d:a1:64:3c:a5:f1:35:8e:1d:db:0e:dc:0d:7e:b3 +-----BEGIN CERTIFICATE----- +MIICKzCCAbGgAwIBAgIKe3G2gla4EnycqDAKBggqhkjOPQQDAzBaMQswCQYDVQQG +EwJVUzETMBEGA1UECxMKZW1TaWduIFBLSTEUMBIGA1UEChMLZU11ZGhyYSBJbmMx +IDAeBgNVBAMTF2VtU2lnbiBFQ0MgUm9vdCBDQSAtIEMzMB4XDTE4MDIxODE4MzAw +MFoXDTQzMDIxODE4MzAwMFowWjELMAkGA1UEBhMCVVMxEzARBgNVBAsTCmVtU2ln +biBQS0kxFDASBgNVBAoTC2VNdWRocmEgSW5jMSAwHgYDVQQDExdlbVNpZ24gRUND +IFJvb3QgQ0EgLSBDMzB2MBAGByqGSM49AgEGBSuBBAAiA2IABP2lYa57JhAd6bci +MK4G9IGzsUJxlTm801Ljr6/58pc1kjZGDoeVjbk5Wum739D+yAdBPLtVb4Ojavti 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Certificate Authority 2017 O=Microsoft Corporation +# Subject: CN=Microsoft ECC Root Certificate Authority 2017 O=Microsoft Corporation +# Label: "Microsoft ECC Root Certificate Authority 2017" +# Serial: 136839042543790627607696632466672567020 +# MD5 Fingerprint: dd:a1:03:e6:4a:93:10:d1:bf:f0:19:42:cb:fe:ed:67 +# SHA1 Fingerprint: 99:9a:64:c3:7f:f4:7d:9f:ab:95:f1:47:69:89:14:60:ee:c4:c3:c5 +# SHA256 Fingerprint: 35:8d:f3:9d:76:4a:f9:e1:b7:66:e9:c9:72:df:35:2e:e1:5c:fa:c2:27:af:6a:d1:d7:0e:8e:4a:6e:dc:ba:02 +-----BEGIN CERTIFICATE----- +MIICWTCCAd+gAwIBAgIQZvI9r4fei7FK6gxXMQHC7DAKBggqhkjOPQQDAzBlMQsw +CQYDVQQGEwJVUzEeMBwGA1UEChMVTWljcm9zb2Z0IENvcnBvcmF0aW9uMTYwNAYD +VQQDEy1NaWNyb3NvZnQgRUNDIFJvb3QgQ2VydGlmaWNhdGUgQXV0aG9yaXR5IDIw +MTcwHhcNMTkxMjE4MjMwNjQ1WhcNNDIwNzE4MjMxNjA0WjBlMQswCQYDVQQGEwJV +UzEeMBwGA1UEChMVTWljcm9zb2Z0IENvcnBvcmF0aW9uMTYwNAYDVQQDEy1NaWNy +b3NvZnQgRUNDIFJvb3QgQ2VydGlmaWNhdGUgQXV0aG9yaXR5IDIwMTcwdjAQBgcq 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c7:41:f7:0f:4b:2a:8d:88:bf:2e:71:c1:41:22:ef:53:ef:10:eb:a0:cf:a5:e6:4c:fa:20:f4:18:85:30:73:e0 +-----BEGIN CERTIFICATE----- +MIIFqDCCA5CgAwIBAgIQHtOXCV/YtLNHcB6qvn9FszANBgkqhkiG9w0BAQwFADBl +MQswCQYDVQQGEwJVUzEeMBwGA1UEChMVTWljcm9zb2Z0IENvcnBvcmF0aW9uMTYw +NAYDVQQDEy1NaWNyb3NvZnQgUlNBIFJvb3QgQ2VydGlmaWNhdGUgQXV0aG9yaXR5 +IDIwMTcwHhcNMTkxMjE4MjI1MTIyWhcNNDIwNzE4MjMwMDIzWjBlMQswCQYDVQQG +EwJVUzEeMBwGA1UEChMVTWljcm9zb2Z0IENvcnBvcmF0aW9uMTYwNAYDVQQDEy1N +aWNyb3NvZnQgUlNBIFJvb3QgQ2VydGlmaWNhdGUgQXV0aG9yaXR5IDIwMTcwggIi +MA0GCSqGSIb3DQEBAQUAA4ICDwAwggIKAoICAQDKW76UM4wplZEWCpW9R2LBifOZ +Nt9GkMml7Xhqb0eRaPgnZ1AzHaGm++DlQ6OEAlcBXZxIQIJTELy/xztokLaCLeX0 +ZdDMbRnMlfl7rEqUrQ7eS0MdhweSE5CAg2Q1OQT85elss7YfUJQ4ZVBcF0a5toW1 +HLUX6NZFndiyJrDKxHBKrmCk3bPZ7Pw71VdyvD/IybLeS2v4I2wDwAW9lcfNcztm +gGTjGqwu+UcF8ga2m3P1eDNbx6H7JyqhtJqRjJHTOoI+dkC0zVJhUXAoP8XFWvLJ +jEm7FFtNyP9nTUwSlq31/niol4fX/V4ggNyhSyL71Imtus5Hl0dVe49FyGcohJUc +aDDv70ngNXtk55iwlNpNhTs+VcQor1fznhPbRiefHqJeRIOkpcrVE7NLP8TjwuaG 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CN=Trustwave Global Certification Authority O=Trustwave Holdings, Inc. +# Label: "Trustwave Global Certification Authority" +# Serial: 1846098327275375458322922162 +# MD5 Fingerprint: f8:1c:18:2d:2f:ba:5f:6d:a1:6c:bc:c7:ab:91:c7:0e +# SHA1 Fingerprint: 2f:8f:36:4f:e1:58:97:44:21:59:87:a5:2a:9a:d0:69:95:26:7f:b5 +# SHA256 Fingerprint: 97:55:20:15:f5:dd:fc:3c:87:88:c0:06:94:45:55:40:88:94:45:00:84:f1:00:86:70:86:bc:1a:2b:b5:8d:c8 +-----BEGIN CERTIFICATE----- +MIIF2jCCA8KgAwIBAgIMBfcOhtpJ80Y1LrqyMA0GCSqGSIb3DQEBCwUAMIGIMQsw +CQYDVQQGEwJVUzERMA8GA1UECAwISWxsaW5vaXMxEDAOBgNVBAcMB0NoaWNhZ28x +ITAfBgNVBAoMGFRydXN0d2F2ZSBIb2xkaW5ncywgSW5jLjExMC8GA1UEAwwoVHJ1 +c3R3YXZlIEdsb2JhbCBDZXJ0aWZpY2F0aW9uIEF1dGhvcml0eTAeFw0xNzA4MjMx +OTM0MTJaFw00MjA4MjMxOTM0MTJaMIGIMQswCQYDVQQGEwJVUzERMA8GA1UECAwI +SWxsaW5vaXMxEDAOBgNVBAcMB0NoaWNhZ28xITAfBgNVBAoMGFRydXN0d2F2ZSBI +b2xkaW5ncywgSW5jLjExMC8GA1UEAwwoVHJ1c3R3YXZlIEdsb2JhbCBDZXJ0aWZp +Y2F0aW9uIEF1dGhvcml0eTCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIB 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Fingerprint: 8f:6b:f2:a9:27:4a:da:14:a0:c4:f4:8e:61:27:f9:c0:1e:78:5d:d1 +# SHA256 Fingerprint: 88:f4:38:dc:f8:ff:d1:fa:8f:42:91:15:ff:e5:f8:2a:e1:e0:6e:0c:70:c3:75:fa:ad:71:7b:34:a4:9e:72:65 +-----BEGIN CERTIFICATE----- +MIIFojCCA4qgAwIBAgIUAZQwHqIL3fXFMyqxQ0Rx+NZQTQ0wDQYJKoZIhvcNAQEM +BQAwaTELMAkGA1UEBhMCS1IxJjAkBgNVBAoMHU5BVkVSIEJVU0lORVNTIFBMQVRG +T1JNIENvcnAuMTIwMAYDVQQDDClOQVZFUiBHbG9iYWwgUm9vdCBDZXJ0aWZpY2F0 +aW9uIEF1dGhvcml0eTAeFw0xNzA4MTgwODU4NDJaFw0zNzA4MTgyMzU5NTlaMGkx +CzAJBgNVBAYTAktSMSYwJAYDVQQKDB1OQVZFUiBCVVNJTkVTUyBQTEFURk9STSBD +b3JwLjEyMDAGA1UEAwwpTkFWRVIgR2xvYmFsIFJvb3QgQ2VydGlmaWNhdGlvbiBB +dXRob3JpdHkwggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAwggIKAoICAQC21PGTXLVA +iQqrDZBbUGOukJR0F0Vy1ntlWilLp1agS7gvQnXp2XskWjFlqxcX0TM62RHcQDaH +38dq6SZeWYp34+hInDEW+j6RscrJo+KfziFTowI2MMtSAuXaMl3Dxeb57hHHi8lE +HoSTGEq0n+USZGnQJoViAbbJAh2+g1G7XNr4rRVqmfeSVPc0W+m/6imBEtRTkZaz +kVrd/pBzKPswRrXKCAfHcXLJZtM0l/aM9BhK4dA9WkW2aacp+yPOiNgSnABIqKYP 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c4:14:30:e4:fa:66:43:94:2a:6a:1b:24:5f:19:d0:ef +# SHA1 Fingerprint: 53:a2:b0:4b:ca:6b:d6:45:e6:39:8a:8e:c4:0d:d2:bf:77:c3:a2:90 +# SHA256 Fingerprint: 4f:a3:12:6d:8d:3a:11:d1:c4:85:5a:4f:80:7c:ba:d6:cf:91:9d:3a:5a:88:b0:3b:ea:2c:63:72:d9:3c:40:c9 +-----BEGIN CERTIFICATE----- +MIIFWjCCA0KgAwIBAgISEdK7udcjGJ5AXwqdLdDfJWfRMA0GCSqGSIb3DQEBDAUA +MEYxCzAJBgNVBAYTAkJFMRkwFwYDVQQKExBHbG9iYWxTaWduIG52LXNhMRwwGgYD +VQQDExNHbG9iYWxTaWduIFJvb3QgUjQ2MB4XDTE5MDMyMDAwMDAwMFoXDTQ2MDMy +MDAwMDAwMFowRjELMAkGA1UEBhMCQkUxGTAXBgNVBAoTEEdsb2JhbFNpZ24gbnYt +c2ExHDAaBgNVBAMTE0dsb2JhbFNpZ24gUm9vdCBSNDYwggIiMA0GCSqGSIb3DQEB +AQUAA4ICDwAwggIKAoICAQCsrHQy6LNl5brtQyYdpokNRbopiLKkHWPd08EsCVeJ +OaFV6Wc0dwxu5FUdUiXSE2te4R2pt32JMl8Nnp8semNgQB+msLZ4j5lUlghYruQG +vGIFAha/r6gjA7aUD7xubMLL1aa7DOn2wQL7Id5m3RerdELv8HQvJfTqa1VbkNud +316HCkD7rRlr+/fKYIje2sGP1q7Vf9Q8g+7XFkyDRTNrJ9CG0Bwta/OrffGFqfUo +0q3v84RLHIf8E6M6cqJaESvWJ3En7YEtbWaBkoe0G1h6zD8K+kZPTXhc+CtI4wSE 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OU=Certum Certification Authority +# Subject: CN=Certum EC-384 CA O=Asseco Data Systems S.A. OU=Certum Certification Authority +# Label: "Certum EC-384 CA" +# Serial: 160250656287871593594747141429395092468 +# MD5 Fingerprint: b6:65:b3:96:60:97:12:a1:ec:4e:e1:3d:a3:c6:c9:f1 +# SHA1 Fingerprint: f3:3e:78:3c:ac:df:f4:a2:cc:ac:67:55:69:56:d7:e5:16:3c:e1:ed +# SHA256 Fingerprint: 6b:32:80:85:62:53:18:aa:50:d1:73:c9:8d:8b:da:09:d5:7e:27:41:3d:11:4c:f7:87:a0:f5:d0:6c:03:0c:f6 +-----BEGIN CERTIFICATE----- +MIICZTCCAeugAwIBAgIQeI8nXIESUiClBNAt3bpz9DAKBggqhkjOPQQDAzB0MQsw +CQYDVQQGEwJQTDEhMB8GA1UEChMYQXNzZWNvIERhdGEgU3lzdGVtcyBTLkEuMScw +JQYDVQQLEx5DZXJ0dW0gQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkxGTAXBgNVBAMT +EENlcnR1bSBFQy0zODQgQ0EwHhcNMTgwMzI2MDcyNDU0WhcNNDMwMzI2MDcyNDU0 +WjB0MQswCQYDVQQGEwJQTDEhMB8GA1UEChMYQXNzZWNvIERhdGEgU3lzdGVtcyBT +LkEuMScwJQYDVQQLEx5DZXJ0dW0gQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkxGTAX +BgNVBAMTEENlcnR1bSBFQy0zODQgQ0EwdjAQBgcqhkjOPQIBBgUrgQQAIgNiAATE +KI6rGFtqvm5kN2PkzeyrOvfMobgOgknXhimfoZTy42B4mIF4Bk3y7JoOV2CDn7Tm +Fy8as10CW4kjPMIRBSqniBMY81CE1700LCeJVf/OTOffph8oxPBUw7l8t1Ot68Kj +QjBAMA8GA1UdEwEB/wQFMAMBAf8wHQYDVR0OBBYEFI0GZnQkdjrzife81r1HfS+8 +EF9LMA4GA1UdDwEB/wQEAwIBBjAKBggqhkjOPQQDAwNoADBlAjADVS2m5hjEfO/J +UG7BJw+ch69u1RsIGL2SKcHvlJF40jocVYli5RsJHrpka/F2tNQCMQC0QoSZ/6vn +nvuRlydd3LBbMHHOXjgaatkl5+r3YZJW+OraNsKHZZYuciUvf9/DE8k= +-----END CERTIFICATE----- + +# Issuer: CN=Certum Trusted Root CA O=Asseco Data Systems S.A. OU=Certum Certification Authority +# Subject: CN=Certum Trusted Root CA O=Asseco Data Systems S.A. OU=Certum Certification Authority +# Label: "Certum Trusted Root CA" +# Serial: 40870380103424195783807378461123655149 +# MD5 Fingerprint: 51:e1:c2:e7:fe:4c:84:af:59:0e:2f:f4:54:6f:ea:29 +# SHA1 Fingerprint: c8:83:44:c0:18:ae:9f:cc:f1:87:b7:8f:22:d1:c5:d7:45:84:ba:e5 +# SHA256 Fingerprint: fe:76:96:57:38:55:77:3e:37:a9:5e:7a:d4:d9:cc:96:c3:01:57:c1:5d:31:76:5b:a9:b1:57:04:e1:ae:78:fd +-----BEGIN CERTIFICATE----- +MIIFwDCCA6igAwIBAgIQHr9ZULjJgDdMBvfrVU+17TANBgkqhkiG9w0BAQ0FADB6 +MQswCQYDVQQGEwJQTDEhMB8GA1UEChMYQXNzZWNvIERhdGEgU3lzdGVtcyBTLkEu +MScwJQYDVQQLEx5DZXJ0dW0gQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkxHzAdBgNV +BAMTFkNlcnR1bSBUcnVzdGVkIFJvb3QgQ0EwHhcNMTgwMzE2MTIxMDEzWhcNNDMw +MzE2MTIxMDEzWjB6MQswCQYDVQQGEwJQTDEhMB8GA1UEChMYQXNzZWNvIERhdGEg +U3lzdGVtcyBTLkEuMScwJQYDVQQLEx5DZXJ0dW0gQ2VydGlmaWNhdGlvbiBBdXRo +b3JpdHkxHzAdBgNVBAMTFkNlcnR1bSBUcnVzdGVkIFJvb3QgQ0EwggIiMA0GCSqG +SIb3DQEBAQUAA4ICDwAwggIKAoICAQDRLY67tzbqbTeRn06TpwXkKQMlzhyC93yZ 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Research Institutions CA +# Label: "HARICA TLS ECC Root CA 2021" +# Serial: 137515985548005187474074462014555733966 +# MD5 Fingerprint: ae:f7:4c:e5:66:35:d1:b7:9b:8c:22:93:74:d3:4b:b0 +# SHA1 Fingerprint: bc:b0:c1:9d:e9:98:92:70:19:38:57:e9:8d:a7:b4:5d:6e:ee:01:48 +# SHA256 Fingerprint: 3f:99:cc:47:4a:cf:ce:4d:fe:d5:87:94:66:5e:47:8d:15:47:73:9f:2e:78:0f:1b:b4:ca:9b:13:30:97:d4:01 +-----BEGIN CERTIFICATE----- +MIICVDCCAdugAwIBAgIQZ3SdjXfYO2rbIvT/WeK/zjAKBggqhkjOPQQDAzBsMQsw +CQYDVQQGEwJHUjE3MDUGA1UECgwuSGVsbGVuaWMgQWNhZGVtaWMgYW5kIFJlc2Vh +cmNoIEluc3RpdHV0aW9ucyBDQTEkMCIGA1UEAwwbSEFSSUNBIFRMUyBFQ0MgUm9v +dCBDQSAyMDIxMB4XDTIxMDIxOTExMDExMFoXDTQ1MDIxMzExMDEwOVowbDELMAkG +A1UEBhMCR1IxNzA1BgNVBAoMLkhlbGxlbmljIEFjYWRlbWljIGFuZCBSZXNlYXJj +aCBJbnN0aXR1dGlvbnMgQ0ExJDAiBgNVBAMMG0hBUklDQSBUTFMgRUNDIFJvb3Qg +Q0EgMjAyMTB2MBAGByqGSM49AgEGBSuBBAAiA2IABDgI/rGgltJ6rK9JOtDA4MM7 +KKrxcm1lAEeIhPyaJmuqS7psBAqIXhfyVYf8MLA04jRYVxqEU+kw2anylnTDUR9Y 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Services LLC +# Subject: CN=GTS Root R4 O=Google Trust Services LLC +# Label: "GTS Root R4" +# Serial: 159662532700760215368942768210 +# MD5 Fingerprint: 43:96:83:77:19:4d:76:b3:9d:65:52:e4:1d:22:a5:e8 +# SHA1 Fingerprint: 77:d3:03:67:b5:e0:0c:15:f6:0c:38:61:df:7c:e1:3b:92:46:4d:47 +# SHA256 Fingerprint: 34:9d:fa:40:58:c5:e2:63:12:3b:39:8a:e7:95:57:3c:4e:13:13:c8:3f:e6:8f:93:55:6c:d5:e8:03:1b:3c:7d +-----BEGIN CERTIFICATE----- +MIICCTCCAY6gAwIBAgINAgPlwGjvYxqccpBQUjAKBggqhkjOPQQDAzBHMQswCQYD +VQQGEwJVUzEiMCAGA1UEChMZR29vZ2xlIFRydXN0IFNlcnZpY2VzIExMQzEUMBIG +A1UEAxMLR1RTIFJvb3QgUjQwHhcNMTYwNjIyMDAwMDAwWhcNMzYwNjIyMDAwMDAw +WjBHMQswCQYDVQQGEwJVUzEiMCAGA1UEChMZR29vZ2xlIFRydXN0IFNlcnZpY2Vz +IExMQzEUMBIGA1UEAxMLR1RTIFJvb3QgUjQwdjAQBgcqhkjOPQIBBgUrgQQAIgNi +AATzdHOnaItgrkO4NcWBMHtLSZ37wWHO5t5GvWvVYRg1rkDdc/eJkTBa6zzuhXyi +QHY7qca4R9gq55KRanPpsXI5nymfopjTX15YhmUPoYRlBtHci8nHc8iMai/lxKvR +HYqjQjBAMA4GA1UdDwEB/wQEAwIBhjAPBgNVHRMBAf8EBTADAQH/MB0GA1UdDgQW 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Root G5" +# Serial: 13129116028163249804115411775095713523 +# MD5 Fingerprint: d3:71:04:6a:43:1c:db:a6:59:e1:a8:a3:aa:c5:71:ed +# SHA1 Fingerprint: 17:f3:de:5e:9f:0f:19:e9:8e:f6:1f:32:26:6e:20:c4:07:ae:30:ee +# SHA256 Fingerprint: 01:8e:13:f0:77:25:32:cf:80:9b:d1:b1:72:81:86:72:83:fc:48:c6:e1:3b:e9:c6:98:12:85:4a:49:0c:1b:05 +-----BEGIN CERTIFICATE----- +MIICGTCCAZ+gAwIBAgIQCeCTZaz32ci5PhwLBCou8zAKBggqhkjOPQQDAzBOMQsw +CQYDVQQGEwJVUzEXMBUGA1UEChMORGlnaUNlcnQsIEluYy4xJjAkBgNVBAMTHURp +Z2lDZXJ0IFRMUyBFQ0MgUDM4NCBSb290IEc1MB4XDTIxMDExNTAwMDAwMFoXDTQ2 +MDExNDIzNTk1OVowTjELMAkGA1UEBhMCVVMxFzAVBgNVBAoTDkRpZ2lDZXJ0LCBJ +bmMuMSYwJAYDVQQDEx1EaWdpQ2VydCBUTFMgRUNDIFAzODQgUm9vdCBHNTB2MBAG +ByqGSM49AgEGBSuBBAAiA2IABMFEoc8Rl1Ca3iOCNQfN0MsYndLxf3c1TzvdlHJS +7cI7+Oz6e2tYIOyZrsn8aLN1udsJ7MgT9U7GCh1mMEy7H0cKPGEQQil8pQgO4CLp +0zVozptjn4S1mU1YoI71VOeVyaNCMEAwHQYDVR0OBBYEFMFRRVBZqz7nLFr6ICIS +B4CIfBFqMA4GA1UdDwEB/wQEAwIBhjAPBgNVHRMBAf8EBTADAQH/MAoGCCqGSM49 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8f:af:7d:2e:2c:b4:70:9b:b8:e0:b3:36:66:bf:75:a5:dd:45:b5:de:48:0f:8e:a8:d4:bf:e6:be:bc:17:f2:ed +-----BEGIN CERTIFICATE----- +MIIFiTCCA3GgAwIBAgIQb77arXO9CEDii02+1PdbkTANBgkqhkiG9w0BAQsFADBO +MQswCQYDVQQGEwJVUzEYMBYGA1UECgwPU1NMIENvcnBvcmF0aW9uMSUwIwYDVQQD +DBxTU0wuY29tIFRMUyBSU0EgUm9vdCBDQSAyMDIyMB4XDTIyMDgyNTE2MzQyMloX +DTQ2MDgxOTE2MzQyMVowTjELMAkGA1UEBhMCVVMxGDAWBgNVBAoMD1NTTCBDb3Jw +b3JhdGlvbjElMCMGA1UEAwwcU1NMLmNvbSBUTFMgUlNBIFJvb3QgQ0EgMjAyMjCC +AiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIBANCkCXJPQIgSYT41I57u9nTP +L3tYPc48DRAokC+X94xI2KDYJbFMsBFMF3NQ0CJKY7uB0ylu1bUJPiYYf7ISf5OY +t6/wNr/y7hienDtSxUcZXXTzZGbVXcdotL8bHAajvI9AI7YexoS9UcQbOcGV0ins +S657Lb85/bRi3pZ7QcacoOAGcvvwB5cJOYF0r/c0WRFXCsJbwST0MXMwgsadugL3 +PnxEX4MN8/HdIGkWCVDi1FW24IBydm5MR7d1VVm0U3TZlMZBrViKMWYPHqIbKUBO +L9975hYsLfy/7PO0+r4Y9ptJ1O4Fbtk085zx7AGL0SDGD6C1vBdOSHtRwvzpXGk3 +R2azaPgVKPC506QVzFpPulJwoxJF3ca6TvvC0PeoUidtbnm1jPx7jMEWTO6Af77w +dr5BUxIzrlo4QqvXDz5BjXYHMtWrifZOZ9mxQnUjbvPNQrL8VfVThxc7wDNY8VLS 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CERTIFICATE----- +MIICFTCCAZugAwIBAgIQPZg7pmY9kGP3fiZXOATvADAKBggqhkjOPQQDAzBMMS4w +LAYDVQQDDCVBdG9zIFRydXN0ZWRSb290IFJvb3QgQ0EgRUNDIFRMUyAyMDIxMQ0w +CwYDVQQKDARBdG9zMQswCQYDVQQGEwJERTAeFw0yMTA0MjIwOTI2MjNaFw00MTA0 +MTcwOTI2MjJaMEwxLjAsBgNVBAMMJUF0b3MgVHJ1c3RlZFJvb3QgUm9vdCBDQSBF +Q0MgVExTIDIwMjExDTALBgNVBAoMBEF0b3MxCzAJBgNVBAYTAkRFMHYwEAYHKoZI +zj0CAQYFK4EEACIDYgAEloZYKDcKZ9Cg3iQZGeHkBQcfl+3oZIK59sRxUM6KDP/X +tXa7oWyTbIOiaG6l2b4siJVBzV3dscqDY4PMwL502eCdpO5KTlbgmClBk1IQ1SQ4 +AjJn8ZQSb+/Xxd4u/RmAo0IwQDAPBgNVHRMBAf8EBTADAQH/MB0GA1UdDgQWBBR2 +KCXWfeBmmnoJsmo7jjPXNtNPojAOBgNVHQ8BAf8EBAMCAYYwCgYIKoZIzj0EAwMD +aAAwZQIwW5kp85wxtolrbNa9d+F851F+uDrNozZffPc8dz7kUK2o59JZDCaOMDtu +CCrCp1rIAjEAmeMM56PDr9NJLkaCI2ZdyQAUEv049OGYa3cpetskz2VAv9LcjBHo +9H1/IISpQuQo +-----END CERTIFICATE----- + +# Issuer: CN=Atos TrustedRoot Root CA RSA TLS 2021 O=Atos +# Subject: CN=Atos TrustedRoot Root CA RSA TLS 2021 O=Atos +# Label: "Atos TrustedRoot Root CA RSA TLS 2021" +# Serial: 111436099570196163832749341232207667876 +# MD5 Fingerprint: d4:d3:46:b8:9a:c0:9c:76:5d:9e:3a:c3:b9:99:31:d2 +# SHA1 Fingerprint: 18:52:3b:0d:06:37:e4:d6:3a:df:23:e4:98:fb:5b:16:fb:86:74:48 +# SHA256 Fingerprint: 81:a9:08:8e:a5:9f:b3:64:c5:48:a6:f8:55:59:09:9b:6f:04:05:ef:bf:18:e5:32:4e:c9:f4:57:ba:00:11:2f +-----BEGIN CERTIFICATE----- +MIIFZDCCA0ygAwIBAgIQU9XP5hmTC/srBRLYwiqipDANBgkqhkiG9w0BAQwFADBM +MS4wLAYDVQQDDCVBdG9zIFRydXN0ZWRSb290IFJvb3QgQ0EgUlNBIFRMUyAyMDIx +MQ0wCwYDVQQKDARBdG9zMQswCQYDVQQGEwJERTAeFw0yMTA0MjIwOTIxMTBaFw00 +MTA0MTcwOTIxMDlaMEwxLjAsBgNVBAMMJUF0b3MgVHJ1c3RlZFJvb3QgUm9vdCBD +QSBSU0EgVExTIDIwMjExDTALBgNVBAoMBEF0b3MxCzAJBgNVBAYTAkRFMIICIjAN +BgkqhkiG9w0BAQEFAAOCAg8AMIICCgKCAgEAtoAOxHm9BYx9sKOdTSJNy/BBl01Z +4NH+VoyX8te9j2y3I49f1cTYQcvyAh5x5en2XssIKl4w8i1mx4QbZFc4nXUtVsYv +Ye+W/CBGvevUez8/fEc4BKkbqlLfEzfTFRVOvV98r61jx3ncCHvVoOX3W3WsgFWZ +kmGbzSoXfduP9LVq6hdKZChmFSlsAvFr1bqjM9xaZ6cF4r9lthawEO3NUDPJcFDs +GY6wx/J0W2tExn2WuZgIWWbeKQGb9Cpt0xU6kGpn8bRrZtkh68rZYnxGEFzedUln 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Issuer: CN=D-TRUST BR Root CA 2 2023 O=D-Trust GmbH +# Subject: CN=D-TRUST BR Root CA 2 2023 O=D-Trust GmbH +# Label: "D-TRUST BR Root CA 2 2023" +# Serial: 153168538924886464690566649552453098598 +# MD5 Fingerprint: e1:09:ed:d3:60:d4:56:1b:47:1f:b7:0c:5f:1b:5f:85 +# SHA1 Fingerprint: 2d:b0:70:ee:71:94:af:69:68:17:db:79:ce:58:9f:a0:6b:96:f7:87 +# SHA256 Fingerprint: 05:52:e6:f8:3f:df:65:e8:fa:96:70:e6:66:df:28:a4:e2:13:40:b5:10:cb:e5:25:66:f9:7c:4f:b9:4b:2b:d1 +-----BEGIN CERTIFICATE----- +MIIFqTCCA5GgAwIBAgIQczswBEhb2U14LnNLyaHcZjANBgkqhkiG9w0BAQ0FADBI +MQswCQYDVQQGEwJERTEVMBMGA1UEChMMRC1UcnVzdCBHbWJIMSIwIAYDVQQDExlE +LVRSVVNUIEJSIFJvb3QgQ0EgMiAyMDIzMB4XDTIzMDUwOTA4NTYzMVoXDTM4MDUw +OTA4NTYzMFowSDELMAkGA1UEBhMCREUxFTATBgNVBAoTDEQtVHJ1c3QgR21iSDEi +MCAGA1UEAxMZRC1UUlVTVCBCUiBSb290IENBIDIgMjAyMzCCAiIwDQYJKoZIhvcN +AQEBBQADggIPADCCAgoCggIBAK7/CVmRgApKaOYkP7in5Mg6CjoWzckjYaCTcfKr +i3OPoGdlYNJUa2NRb0kz4HIHE304zQaSBylSa053bATTlfrdTIzZXcFhfUvnKLNE 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Inc. +# Subject: CN=TrustAsia TLS RSA Root CA O=TrustAsia Technologies, Inc. +# Label: "TrustAsia TLS RSA Root CA" +# Serial: 160405846464868906657516898462547310235378010780 +# MD5 Fingerprint: 3b:9e:c3:86:0f:34:3c:6b:c5:46:c4:8e:1d:e7:19:12 +# SHA1 Fingerprint: a5:46:50:c5:62:ea:95:9a:1a:a7:04:6f:17:58:c7:29:53:3d:03:fa +# SHA256 Fingerprint: 06:c0:8d:7d:af:d8:76:97:1e:b1:12:4f:e6:7f:84:7e:c0:c7:a1:58:d3:ea:53:cb:e9:40:e2:ea:97:91:f4:c3 +-----BEGIN CERTIFICATE----- +MIIFgDCCA2igAwIBAgIUHBjYz+VTPyI1RlNUJDxsR9FcSpwwDQYJKoZIhvcNAQEM +BQAwWDELMAkGA1UEBhMCQ04xJTAjBgNVBAoTHFRydXN0QXNpYSBUZWNobm9sb2dp +ZXMsIEluYy4xIjAgBgNVBAMTGVRydXN0QXNpYSBUTFMgUlNBIFJvb3QgQ0EwHhcN +MjQwNTE1MDU0MTU3WhcNNDQwNTE1MDU0MTU2WjBYMQswCQYDVQQGEwJDTjElMCMG +A1UEChMcVHJ1c3RBc2lhIFRlY2hub2xvZ2llcywgSW5jLjEiMCAGA1UEAxMZVHJ1 +c3RBc2lhIFRMUyBSU0EgUm9vdCBDQTCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCC +AgoCggIBAMMWuBtqpERz5dZO9LnPWwvB0ZqB9WOwj0PBuwhaGnrhB3YmH49pVr7+ +NmDQDIPNlOrnxS1cLwUWAp4KqC/lYCZUlviYQB2srp10Zy9U+5RjmOMmSoPGlbYJ 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+MIIFqTCCA5GgAwIBAgIQaSYJfoBLTKCnjHhiU19abzANBgkqhkiG9w0BAQ0FADBI +MQswCQYDVQQGEwJERTEVMBMGA1UEChMMRC1UcnVzdCBHbWJIMSIwIAYDVQQDExlE +LVRSVVNUIEVWIFJvb3QgQ0EgMiAyMDIzMB4XDTIzMDUwOTA5MTAzM1oXDTM4MDUw +OTA5MTAzMlowSDELMAkGA1UEBhMCREUxFTATBgNVBAoTDEQtVHJ1c3QgR21iSDEi +MCAGA1UEAxMZRC1UUlVTVCBFViBSb290IENBIDIgMjAyMzCCAiIwDQYJKoZIhvcN +AQEBBQADggIPADCCAgoCggIBANiOo4mAC7JXUtypU0w3uX9jFxPvp1sjW2l1sJkK +F8GLxNuo4MwxusLyzV3pt/gdr2rElYfXR8mV2IIEUD2BCP/kPbOx1sWy/YgJ25yE +7CUXFId/MHibaljJtnMoPDT3mfd/06b4HEV8rSyMlD/YZxBTfiLNTiVR8CUkNRFe +EMbsh2aJgWi6zCudR3Mfvc2RpHJqnKIbGKBv7FD0fUDCqDDPvXPIEysQEx6Lmqg6 +lHPTGGkKSv/BAQP/eX+1SH977ugpbzZMlWGG2Pmic4ruri+W7mjNPU0oQvlFKzIb +RlUWaqZLKfm7lVa/Rh3sHZMdwGWyH6FDrlaeoLGPaxK3YG14C8qKXO0elg6DpkiV +jTujIcSuWMYAsoS0I6SWhjW42J7YrDRJmGOVxcttSEfi8i4YHtAxq9107PncjLgc +jmgjutDzUNzPZY9zOjLHfP7KgiJPvo5iR2blzYfi6NUPGJ/lBHJLRjwQ8kTCZFZx +TnXonMkmdMV9WdEKWw9t/p51HBjGGjp82A0EzM23RWV6sY+4roRIPrN6TagD4uJ+ +ARZZaBhDM7DS3LAaQzXupdqpRlyuhoFBAUp0JuyfBr/CBTdkdXgpaP3F9ev+R/nk 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+XBxvWHZks/wCuPWdCg== +-----END CERTIFICATE----- + +# Issuer: CN=SwissSign RSA TLS Root CA 2022 - 1 O=SwissSign AG +# Subject: CN=SwissSign RSA TLS Root CA 2022 - 1 O=SwissSign AG +# Label: "SwissSign RSA TLS Root CA 2022 - 1" +# Serial: 388078645722908516278762308316089881486363258315 +# MD5 Fingerprint: 16:2e:e4:19:76:81:85:ba:8e:91:58:f1:15:ef:72:39 +# SHA1 Fingerprint: 81:34:0a:be:4c:cd:ce:cc:e7:7d:cc:8a:d4:57:e2:45:a0:77:5d:ce +# SHA256 Fingerprint: 19:31:44:f4:31:e0:fd:db:74:07:17:d4:de:92:6a:57:11:33:88:4b:43:60:d3:0e:27:29:13:cb:e6:60:ce:41 +-----BEGIN CERTIFICATE----- +MIIFkzCCA3ugAwIBAgIUQ/oMX04bgBhE79G0TzUfRPSA7cswDQYJKoZIhvcNAQEL +BQAwUTELMAkGA1UEBhMCQ0gxFTATBgNVBAoTDFN3aXNzU2lnbiBBRzErMCkGA1UE +AxMiU3dpc3NTaWduIFJTQSBUTFMgUm9vdCBDQSAyMDIyIC0gMTAeFw0yMjA2MDgx +MTA4MjJaFw00NzA2MDgxMTA4MjJaMFExCzAJBgNVBAYTAkNIMRUwEwYDVQQKEwxT +d2lzc1NpZ24gQUcxKzApBgNVBAMTIlN3aXNzU2lnbiBSU0EgVExTIFJvb3QgQ0Eg +MjAyMiAtIDEwggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAwggIKAoICAQDLKmjiC8NX 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Subject: CN=OISTE Server Root RSA G1 O=OISTE Foundation +# Label: " OISTE Server Root RSA G1" +# Serial: 113845518112613905024960613408179309848 +# MD5 Fingerprint: 23:a7:9e:d4:70:b8:b9:14:57:41:8a:7e:44:59:e2:68 +# SHA1 Fingerprint: f7:00:34:25:94:88:68:31:e4:34:87:3f:70:fe:86:b3:86:9f:f0:6e +# SHA256 Fingerprint: 9a:e3:62:32:a5:18:9f:fd:db:35:3d:fd:26:52:0c:01:53:95:d2:27:77:da:c5:9d:b5:7b:98:c0:89:a6:51:e6 +-----BEGIN CERTIFICATE----- +MIIFgzCCA2ugAwIBAgIQVaXZZ5Qoxu0M+ifdWwFNGDANBgkqhkiG9w0BAQwFADBL +MQswCQYDVQQGEwJDSDEZMBcGA1UECgwQT0lTVEUgRm91bmRhdGlvbjEhMB8GA1UE +AwwYT0lTVEUgU2VydmVyIFJvb3QgUlNBIEcxMB4XDTIzMDUzMTE0MzcxNloXDTQ4 +MDUyNDE0MzcxNVowSzELMAkGA1UEBhMCQ0gxGTAXBgNVBAoMEE9JU1RFIEZvdW5k +YXRpb24xITAfBgNVBAMMGE9JU1RFIFNlcnZlciBSb290IFJTQSBHMTCCAiIwDQYJ +KoZIhvcNAQEBBQADggIPADCCAgoCggIBAKqu9KuCz/vlNwvn1ZatkOhLKdxVYOPM +vLO8LZK55KN68YG0nnJyQ98/qwsmtO57Gmn7KNByXEptaZnwYx4M0rH/1ow00O7b +rEi56rAUjtgHqSSY3ekJvqgiG1k50SeH3BzN+Puz6+mTeO0Pzjd8JnduodgsIUzk 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cacert.pem or its contents. +""" +import sys +import atexit + +def exit_cacert_ctx() -> None: + _CACERT_CTX.__exit__(None, None, None) # type: ignore[union-attr] + + +if sys.version_info >= (3, 11): + + from importlib.resources import as_file, files + + _CACERT_CTX = None + _CACERT_PATH = None + + def where() -> str: + # This is slightly terrible, but we want to delay extracting the file + # in cases where we're inside of a zipimport situation until someone + # actually calls where(), but we don't want to re-extract the file + # on every call of where(), so we'll do it once then store it in a + # global variable. + global _CACERT_CTX + global _CACERT_PATH + if _CACERT_PATH is None: + # This is slightly janky, the importlib.resources API wants you to + # manage the cleanup of this file, so it doesn't actually return a + # path, it returns a context manager that will give you the path + # when you enter it and will do any cleanup when you leave it. In + # the common case of not needing a temporary file, it will just + # return the file system location and the __exit__() is a no-op. + # + # We also have to hold onto the actual context manager, because + # it will do the cleanup whenever it gets garbage collected, so + # we will also store that at the global level as well. + _CACERT_CTX = as_file(files("certifi").joinpath("cacert.pem")) + _CACERT_PATH = str(_CACERT_CTX.__enter__()) + atexit.register(exit_cacert_ctx) + + return _CACERT_PATH + + def contents() -> str: + return files("certifi").joinpath("cacert.pem").read_text(encoding="ascii") + +else: + + from importlib.resources import path as get_path, read_text + + _CACERT_CTX = None + _CACERT_PATH = None + + def where() -> str: + # This is slightly terrible, but we want to delay extracting the + # file in cases where we're inside of a zipimport situation until + # someone actually calls where(), but we don't want to re-extract + # the file on every call of where(), so we'll do it once then store + # it in a global variable. + global _CACERT_CTX + global _CACERT_PATH + if _CACERT_PATH is None: + # This is slightly janky, the importlib.resources API wants you + # to manage the cleanup of this file, so it doesn't actually + # return a path, it returns a context manager that will give + # you the path when you enter it and will do any cleanup when + # you leave it. In the common case of not needing a temporary + # file, it will just return the file system location and the + # __exit__() is a no-op. + # + # We also have to hold onto the actual context manager, because + # it will do the cleanup whenever it gets garbage collected, so + # we will also store that at the global level as well. + _CACERT_CTX = get_path("certifi", "cacert.pem") + _CACERT_PATH = str(_CACERT_CTX.__enter__()) + atexit.register(exit_cacert_ctx) + + return _CACERT_PATH + + def contents() -> str: + return read_text("certifi", "cacert.pem", encoding="ascii") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/certifi/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..8d32edcc9f0aa2057cc7844f7bb36b2c8c2e41d7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/METADATA @@ -0,0 +1,764 @@ +Metadata-Version: 2.4 +Name: charset-normalizer +Version: 3.4.4 +Summary: The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet. +Author-email: "Ahmed R. TAHRI" +Maintainer-email: "Ahmed R. TAHRI" +License: MIT +Project-URL: Changelog, https://github.com/jawah/charset_normalizer/blob/master/CHANGELOG.md +Project-URL: Documentation, https://charset-normalizer.readthedocs.io/ +Project-URL: Code, https://github.com/jawah/charset_normalizer +Project-URL: Issue tracker, https://github.com/jawah/charset_normalizer/issues +Keywords: encoding,charset,charset-detector,detector,normalization,unicode,chardet,detect +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.7 +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: 3.14 +Classifier: Programming Language :: Python :: 3 :: Only +Classifier: Programming Language :: Python :: Implementation :: CPython +Classifier: Programming Language :: Python :: Implementation :: PyPy +Classifier: Topic :: Text Processing :: Linguistic +Classifier: Topic :: Utilities +Classifier: Typing :: Typed +Requires-Python: >=3.7 +Description-Content-Type: text/markdown +License-File: LICENSE +Provides-Extra: unicode-backport +Dynamic: license-file + +

        Charset Detection, for Everyone 👋

        + +

        + The Real First Universal Charset Detector
        + + + + + Download Count Total + + + + +

        +

        + Featured Packages
        + + Static Badge + + + Static Badge + +

        +

        + In other language (unofficial port - by the community)
        + + Static Badge + +

        + +> A library that helps you read text from an unknown charset encoding.
        Motivated by `chardet`, +> I'm trying to resolve the issue by taking a new approach. +> All IANA character set names for which the Python core library provides codecs are supported. + +

        + >>>>> 👉 Try Me Online Now, Then Adopt Me 👈 <<<<< +

        + +This project offers you an alternative to **Universal Charset Encoding Detector**, also known as **Chardet**. + +| Feature | [Chardet](https://github.com/chardet/chardet) | Charset Normalizer | [cChardet](https://github.com/PyYoshi/cChardet) | +|--------------------------------------------------|:---------------------------------------------:|:--------------------------------------------------------------------------------------------------:|:-----------------------------------------------:| +| `Fast` | ❌ | ✅ | ✅ | +| `Universal**` | ❌ | ✅ | ❌ | +| `Reliable` **without** distinguishable standards | ❌ | ✅ | ✅ | +| `Reliable` **with** distinguishable standards | ✅ | ✅ | ✅ | +| `License` | LGPL-2.1
        _restrictive_ | MIT | MPL-1.1
        _restrictive_ | +| `Native Python` | ✅ | ✅ | ❌ | +| `Detect spoken language` | ❌ | ✅ | N/A | +| `UnicodeDecodeError Safety` | ❌ | ✅ | ❌ | +| `Whl Size (min)` | 193.6 kB | 42 kB | ~200 kB | +| `Supported Encoding` | 33 | 🎉 [99](https://charset-normalizer.readthedocs.io/en/latest/user/support.html#supported-encodings) | 40 | + +

        +Reading Normalized TextCat Reading Text +

        + +*\*\* : They are clearly using specific code for a specific encoding even if covering most of used one*
        + +## ⚡ Performance + +This package offer better performance than its counterpart Chardet. Here are some numbers. + +| Package | Accuracy | Mean per file (ms) | File per sec (est) | +|-----------------------------------------------|:--------:|:------------------:|:------------------:| +| [chardet](https://github.com/chardet/chardet) | 86 % | 63 ms | 16 file/sec | +| charset-normalizer | **98 %** | **10 ms** | 100 file/sec | + +| Package | 99th percentile | 95th percentile | 50th percentile | +|-----------------------------------------------|:---------------:|:---------------:|:---------------:| +| [chardet](https://github.com/chardet/chardet) | 265 ms | 71 ms | 7 ms | +| charset-normalizer | 100 ms | 50 ms | 5 ms | + +_updated as of december 2024 using CPython 3.12_ + +Chardet's performance on larger file (1MB+) are very poor. Expect huge difference on large payload. + +> Stats are generated using 400+ files using default parameters. More details on used files, see GHA workflows. +> And yes, these results might change at any time. The dataset can be updated to include more files. +> The actual delays heavily depends on your CPU capabilities. The factors should remain the same. +> Keep in mind that the stats are generous and that Chardet accuracy vs our is measured using Chardet initial capability +> (e.g. Supported Encoding) Challenge-them if you want. + +## ✨ Installation + +Using pip: + +```sh +pip install charset-normalizer -U +``` + +## 🚀 Basic Usage + +### CLI +This package comes with a CLI. + +``` +usage: normalizer [-h] [-v] [-a] [-n] [-m] [-r] [-f] [-t THRESHOLD] + file [file ...] + +The Real First Universal Charset Detector. Discover originating encoding used +on text file. Normalize text to unicode. + +positional arguments: + files File(s) to be analysed + +optional arguments: + -h, --help show this help message and exit + -v, --verbose Display complementary information about file if any. + Stdout will contain logs about the detection process. + -a, --with-alternative + Output complementary possibilities if any. Top-level + JSON WILL be a list. + -n, --normalize Permit to normalize input file. If not set, program + does not write anything. + -m, --minimal Only output the charset detected to STDOUT. Disabling + JSON output. + -r, --replace Replace file when trying to normalize it instead of + creating a new one. + -f, --force Replace file without asking if you are sure, use this + flag with caution. + -t THRESHOLD, --threshold THRESHOLD + Define a custom maximum amount of chaos allowed in + decoded content. 0. <= chaos <= 1. + --version Show version information and exit. +``` + +```bash +normalizer ./data/sample.1.fr.srt +``` + +or + +```bash +python -m charset_normalizer ./data/sample.1.fr.srt +``` + +🎉 Since version 1.4.0 the CLI produce easily usable stdout result in JSON format. + +```json +{ + "path": "/home/default/projects/charset_normalizer/data/sample.1.fr.srt", + "encoding": "cp1252", + "encoding_aliases": [ + "1252", + "windows_1252" + ], + "alternative_encodings": [ + "cp1254", + "cp1256", + "cp1258", + "iso8859_14", + "iso8859_15", + "iso8859_16", + "iso8859_3", + "iso8859_9", + "latin_1", + "mbcs" + ], + "language": "French", + "alphabets": [ + "Basic Latin", + "Latin-1 Supplement" + ], + "has_sig_or_bom": false, + "chaos": 0.149, + "coherence": 97.152, + "unicode_path": null, + "is_preferred": true +} +``` + +### Python +*Just print out normalized text* +```python +from charset_normalizer import from_path + +results = from_path('./my_subtitle.srt') + +print(str(results.best())) +``` + +*Upgrade your code without effort* +```python +from charset_normalizer import detect +``` + +The above code will behave the same as **chardet**. We ensure that we offer the best (reasonable) BC result possible. + +See the docs for advanced usage : [readthedocs.io](https://charset-normalizer.readthedocs.io/en/latest/) + +## 😇 Why + +When I started using Chardet, I noticed that it was not suited to my expectations, and I wanted to propose a +reliable alternative using a completely different method. Also! I never back down on a good challenge! + +I **don't care** about the **originating charset** encoding, because **two different tables** can +produce **two identical rendered string.** +What I want is to get readable text, the best I can. + +In a way, **I'm brute forcing text decoding.** How cool is that ? 😎 + +Don't confuse package **ftfy** with charset-normalizer or chardet. ftfy goal is to repair Unicode string whereas charset-normalizer to convert raw file in unknown encoding to unicode. + +## 🍰 How + + - Discard all charset encoding table that could not fit the binary content. + - Measure noise, or the mess once opened (by chunks) with a corresponding charset encoding. + - Extract matches with the lowest mess detected. + - Additionally, we measure coherence / probe for a language. + +**Wait a minute**, what is noise/mess and coherence according to **YOU ?** + +*Noise :* I opened hundred of text files, **written by humans**, with the wrong encoding table. **I observed**, then +**I established** some ground rules about **what is obvious** when **it seems like** a mess (aka. defining noise in rendered text). + I know that my interpretation of what is noise is probably incomplete, feel free to contribute in order to + improve or rewrite it. + +*Coherence :* For each language there is on earth, we have computed ranked letter appearance occurrences (the best we can). So I thought +that intel is worth something here. So I use those records against decoded text to check if I can detect intelligent design. + +## ⚡ Known limitations + + - Language detection is unreliable when text contains two or more languages sharing identical letters. (eg. HTML (english tags) + Turkish content (Sharing Latin characters)) + - Every charset detector heavily depends on sufficient content. In common cases, do not bother run detection on very tiny content. + +## ⚠️ About Python EOLs + +**If you are running:** + +- Python >=2.7,<3.5: Unsupported +- Python 3.5: charset-normalizer < 2.1 +- Python 3.6: charset-normalizer < 3.1 +- Python 3.7: charset-normalizer < 4.0 + +Upgrade your Python interpreter as soon as possible. + +## 👤 Contributing + +Contributions, issues and feature requests are very much welcome.
        +Feel free to check [issues page](https://github.com/ousret/charset_normalizer/issues) if you want to contribute. + +## 📝 License + +Copyright © [Ahmed TAHRI @Ousret](https://github.com/Ousret).
        +This project is [MIT](https://github.com/Ousret/charset_normalizer/blob/master/LICENSE) licensed. + +Characters frequencies used in this project © 2012 [Denny Vrandečić](http://simia.net/letters/) + +## 💼 For Enterprise + +Professional support for charset-normalizer is available as part of the [Tidelift +Subscription][1]. Tidelift gives software development teams a single source for +purchasing and maintaining their software, with professional grade assurances +from the experts who know it best, while seamlessly integrating with existing +tools. + +[1]: https://tidelift.com/subscription/pkg/pypi-charset-normalizer?utm_source=pypi-charset-normalizer&utm_medium=readme + +[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/7297/badge)](https://www.bestpractices.dev/projects/7297) + +# Changelog +All notable changes to charset-normalizer will be documented in this file. This project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/). + +## [3.4.4](https://github.com/Ousret/charset_normalizer/compare/3.4.2...3.4.4) (2025-10-13) + +### Changed +- Bound `setuptools` to a specific constraint `setuptools>=68,<=81`. +- Raised upper bound of mypyc for the optional pre-built extension to v1.18.2 + +### Removed +- `setuptools-scm` as a build dependency. + +### Misc +- Enforced hashes in `dev-requirements.txt` and created `ci-requirements.txt` for security purposes. +- Additional pre-built wheels for riscv64, s390x, and armv7l architectures. +- Restore ` multiple.intoto.jsonl` in GitHub releases in addition to individual attestation file per wheel. + +## [3.4.3](https://github.com/Ousret/charset_normalizer/compare/3.4.2...3.4.3) (2025-08-09) + +### Changed +- mypy(c) is no longer a required dependency at build time if `CHARSET_NORMALIZER_USE_MYPYC` isn't set to `1`. (#595) (#583) +- automatically lower confidence on small bytes samples that are not Unicode in `detect` output legacy function. (#391) + +### Added +- Custom build backend to overcome inability to mark mypy as an optional dependency in the build phase. +- Support for Python 3.14 + +### Fixed +- sdist archive contained useless directories. +- automatically fallback on valid UTF-16 or UTF-32 even if the md says it's noisy. (#633) + +### Misc +- SBOM are automatically published to the relevant GitHub release to comply with regulatory changes. + Each published wheel comes with its SBOM. We choose CycloneDX as the format. +- Prebuilt optimized wheel are no longer distributed by default for CPython 3.7 due to a change in cibuildwheel. + +## [3.4.2](https://github.com/Ousret/charset_normalizer/compare/3.4.1...3.4.2) (2025-05-02) + +### Fixed +- Addressed the DeprecationWarning in our CLI regarding `argparse.FileType` by backporting the target class into the package. (#591) +- Improved the overall reliability of the detector with CJK Ideographs. (#605) (#587) + +### Changed +- Optional mypyc compilation upgraded to version 1.15 for Python >= 3.8 + +## [3.4.1](https://github.com/Ousret/charset_normalizer/compare/3.4.0...3.4.1) (2024-12-24) + +### Changed +- Project metadata are now stored using `pyproject.toml` instead of `setup.cfg` using setuptools as the build backend. +- Enforce annotation delayed loading for a simpler and consistent types in the project. +- Optional mypyc compilation upgraded to version 1.14 for Python >= 3.8 + +### Added +- pre-commit configuration. +- noxfile. + +### Removed +- `build-requirements.txt` as per using `pyproject.toml` native build configuration. +- `bin/integration.py` and `bin/serve.py` in favor of downstream integration test (see noxfile). +- `setup.cfg` in favor of `pyproject.toml` metadata configuration. +- Unused `utils.range_scan` function. + +### Fixed +- Converting content to Unicode bytes may insert `utf_8` instead of preferred `utf-8`. (#572) +- Deprecation warning "'count' is passed as positional argument" when converting to Unicode bytes on Python 3.13+ + +## [3.4.0](https://github.com/Ousret/charset_normalizer/compare/3.3.2...3.4.0) (2024-10-08) + +### Added +- Argument `--no-preemptive` in the CLI to prevent the detector to search for hints. +- Support for Python 3.13 (#512) + +### Fixed +- Relax the TypeError exception thrown when trying to compare a CharsetMatch with anything else than a CharsetMatch. +- Improved the general reliability of the detector based on user feedbacks. (#520) (#509) (#498) (#407) (#537) +- Declared charset in content (preemptive detection) not changed when converting to utf-8 bytes. (#381) + +## [3.3.2](https://github.com/Ousret/charset_normalizer/compare/3.3.1...3.3.2) (2023-10-31) + +### Fixed +- Unintentional memory usage regression when using large payload that match several encoding (#376) +- Regression on some detection case showcased in the documentation (#371) + +### Added +- Noise (md) probe that identify malformed arabic representation due to the presence of letters in isolated form (credit to my wife) + +## [3.3.1](https://github.com/Ousret/charset_normalizer/compare/3.3.0...3.3.1) (2023-10-22) + +### Changed +- Optional mypyc compilation upgraded to version 1.6.1 for Python >= 3.8 +- Improved the general detection reliability based on reports from the community + +## [3.3.0](https://github.com/Ousret/charset_normalizer/compare/3.2.0...3.3.0) (2023-09-30) + +### Added +- Allow to execute the CLI (e.g. normalizer) through `python -m charset_normalizer.cli` or `python -m charset_normalizer` +- Support for 9 forgotten encoding that are supported by Python but unlisted in `encoding.aliases` as they have no alias (#323) + +### Removed +- (internal) Redundant utils.is_ascii function and unused function is_private_use_only +- (internal) charset_normalizer.assets is moved inside charset_normalizer.constant + +### Changed +- (internal) Unicode code blocks in constants are updated using the latest v15.0.0 definition to improve detection +- Optional mypyc compilation upgraded to version 1.5.1 for Python >= 3.8 + +### Fixed +- Unable to properly sort CharsetMatch when both chaos/noise and coherence were close due to an unreachable condition in \_\_lt\_\_ (#350) + +## [3.2.0](https://github.com/Ousret/charset_normalizer/compare/3.1.0...3.2.0) (2023-06-07) + +### Changed +- Typehint for function `from_path` no longer enforce `PathLike` as its first argument +- Minor improvement over the global detection reliability + +### Added +- Introduce function `is_binary` that relies on main capabilities, and optimized to detect binaries +- Propagate `enable_fallback` argument throughout `from_bytes`, `from_path`, and `from_fp` that allow a deeper control over the detection (default True) +- Explicit support for Python 3.12 + +### Fixed +- Edge case detection failure where a file would contain 'very-long' camel cased word (Issue #289) + +## [3.1.0](https://github.com/Ousret/charset_normalizer/compare/3.0.1...3.1.0) (2023-03-06) + +### Added +- Argument `should_rename_legacy` for legacy function `detect` and disregard any new arguments without errors (PR #262) + +### Removed +- Support for Python 3.6 (PR #260) + +### Changed +- Optional speedup provided by mypy/c 1.0.1 + +## [3.0.1](https://github.com/Ousret/charset_normalizer/compare/3.0.0...3.0.1) (2022-11-18) + +### Fixed +- Multi-bytes cutter/chunk generator did not always cut correctly (PR #233) + +### Changed +- Speedup provided by mypy/c 0.990 on Python >= 3.7 + +## [3.0.0](https://github.com/Ousret/charset_normalizer/compare/2.1.1...3.0.0) (2022-10-20) + +### Added +- Extend the capability of explain=True when cp_isolation contains at most two entries (min one), will log in details of the Mess-detector results +- Support for alternative language frequency set in charset_normalizer.assets.FREQUENCIES +- Add parameter `language_threshold` in `from_bytes`, `from_path` and `from_fp` to adjust the minimum expected coherence ratio +- `normalizer --version` now specify if current version provide extra speedup (meaning mypyc compilation whl) + +### Changed +- Build with static metadata using 'build' frontend +- Make the language detection stricter +- Optional: Module `md.py` can be compiled using Mypyc to provide an extra speedup up to 4x faster than v2.1 + +### Fixed +- CLI with opt --normalize fail when using full path for files +- TooManyAccentuatedPlugin induce false positive on the mess detection when too few alpha character have been fed to it +- Sphinx warnings when generating the documentation + +### Removed +- Coherence detector no longer return 'Simple English' instead return 'English' +- Coherence detector no longer return 'Classical Chinese' instead return 'Chinese' +- Breaking: Method `first()` and `best()` from CharsetMatch +- UTF-7 will no longer appear as "detected" without a recognized SIG/mark (is unreliable/conflict with ASCII) +- Breaking: Class aliases CharsetDetector, CharsetDoctor, CharsetNormalizerMatch and CharsetNormalizerMatches +- Breaking: Top-level function `normalize` +- Breaking: Properties `chaos_secondary_pass`, `coherence_non_latin` and `w_counter` from CharsetMatch +- Support for the backport `unicodedata2` + +## [3.0.0rc1](https://github.com/Ousret/charset_normalizer/compare/3.0.0b2...3.0.0rc1) (2022-10-18) + +### Added +- Extend the capability of explain=True when cp_isolation contains at most two entries (min one), will log in details of the Mess-detector results +- Support for alternative language frequency set in charset_normalizer.assets.FREQUENCIES +- Add parameter `language_threshold` in `from_bytes`, `from_path` and `from_fp` to adjust the minimum expected coherence ratio + +### Changed +- Build with static metadata using 'build' frontend +- Make the language detection stricter + +### Fixed +- CLI with opt --normalize fail when using full path for files +- TooManyAccentuatedPlugin induce false positive on the mess detection when too few alpha character have been fed to it + +### Removed +- Coherence detector no longer return 'Simple English' instead return 'English' +- Coherence detector no longer return 'Classical Chinese' instead return 'Chinese' + +## [3.0.0b2](https://github.com/Ousret/charset_normalizer/compare/3.0.0b1...3.0.0b2) (2022-08-21) + +### Added +- `normalizer --version` now specify if current version provide extra speedup (meaning mypyc compilation whl) + +### Removed +- Breaking: Method `first()` and `best()` from CharsetMatch +- UTF-7 will no longer appear as "detected" without a recognized SIG/mark (is unreliable/conflict with ASCII) + +### Fixed +- Sphinx warnings when generating the documentation + +## [3.0.0b1](https://github.com/Ousret/charset_normalizer/compare/2.1.0...3.0.0b1) (2022-08-15) + +### Changed +- Optional: Module `md.py` can be compiled using Mypyc to provide an extra speedup up to 4x faster than v2.1 + +### Removed +- Breaking: Class aliases CharsetDetector, CharsetDoctor, CharsetNormalizerMatch and CharsetNormalizerMatches +- Breaking: Top-level function `normalize` +- Breaking: Properties `chaos_secondary_pass`, `coherence_non_latin` and `w_counter` from CharsetMatch +- Support for the backport `unicodedata2` + +## [2.1.1](https://github.com/Ousret/charset_normalizer/compare/2.1.0...2.1.1) (2022-08-19) + +### Deprecated +- Function `normalize` scheduled for removal in 3.0 + +### Changed +- Removed useless call to decode in fn is_unprintable (#206) + +### Fixed +- Third-party library (i18n xgettext) crashing not recognizing utf_8 (PEP 263) with underscore from [@aleksandernovikov](https://github.com/aleksandernovikov) (#204) + +## [2.1.0](https://github.com/Ousret/charset_normalizer/compare/2.0.12...2.1.0) (2022-06-19) + +### Added +- Output the Unicode table version when running the CLI with `--version` (PR #194) + +### Changed +- Re-use decoded buffer for single byte character sets from [@nijel](https://github.com/nijel) (PR #175) +- Fixing some performance bottlenecks from [@deedy5](https://github.com/deedy5) (PR #183) + +### Fixed +- Workaround potential bug in cpython with Zero Width No-Break Space located in Arabic Presentation Forms-B, Unicode 1.1 not acknowledged as space (PR #175) +- CLI default threshold aligned with the API threshold from [@oleksandr-kuzmenko](https://github.com/oleksandr-kuzmenko) (PR #181) + +### Removed +- Support for Python 3.5 (PR #192) + +### Deprecated +- Use of backport unicodedata from `unicodedata2` as Python is quickly catching up, scheduled for removal in 3.0 (PR #194) + +## [2.0.12](https://github.com/Ousret/charset_normalizer/compare/2.0.11...2.0.12) (2022-02-12) + +### Fixed +- ASCII miss-detection on rare cases (PR #170) + +## [2.0.11](https://github.com/Ousret/charset_normalizer/compare/2.0.10...2.0.11) (2022-01-30) + +### Added +- Explicit support for Python 3.11 (PR #164) + +### Changed +- The logging behavior have been completely reviewed, now using only TRACE and DEBUG levels (PR #163 #165) + +## [2.0.10](https://github.com/Ousret/charset_normalizer/compare/2.0.9...2.0.10) (2022-01-04) + +### Fixed +- Fallback match entries might lead to UnicodeDecodeError for large bytes sequence (PR #154) + +### Changed +- Skipping the language-detection (CD) on ASCII (PR #155) + +## [2.0.9](https://github.com/Ousret/charset_normalizer/compare/2.0.8...2.0.9) (2021-12-03) + +### Changed +- Moderating the logging impact (since 2.0.8) for specific environments (PR #147) + +### Fixed +- Wrong logging level applied when setting kwarg `explain` to True (PR #146) + +## [2.0.8](https://github.com/Ousret/charset_normalizer/compare/2.0.7...2.0.8) (2021-11-24) +### Changed +- Improvement over Vietnamese detection (PR #126) +- MD improvement on trailing data and long foreign (non-pure latin) data (PR #124) +- Efficiency improvements in cd/alphabet_languages from [@adbar](https://github.com/adbar) (PR #122) +- call sum() without an intermediary list following PEP 289 recommendations from [@adbar](https://github.com/adbar) (PR #129) +- Code style as refactored by Sourcery-AI (PR #131) +- Minor adjustment on the MD around european words (PR #133) +- Remove and replace SRTs from assets / tests (PR #139) +- Initialize the library logger with a `NullHandler` by default from [@nmaynes](https://github.com/nmaynes) (PR #135) +- Setting kwarg `explain` to True will add provisionally (bounded to function lifespan) a specific stream handler (PR #135) + +### Fixed +- Fix large (misleading) sequence giving UnicodeDecodeError (PR #137) +- Avoid using too insignificant chunk (PR #137) + +### Added +- Add and expose function `set_logging_handler` to configure a specific StreamHandler from [@nmaynes](https://github.com/nmaynes) (PR #135) +- Add `CHANGELOG.md` entries, format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/) (PR #141) + +## [2.0.7](https://github.com/Ousret/charset_normalizer/compare/2.0.6...2.0.7) (2021-10-11) +### Added +- Add support for Kazakh (Cyrillic) language detection (PR #109) + +### Changed +- Further, improve inferring the language from a given single-byte code page (PR #112) +- Vainly trying to leverage PEP263 when PEP3120 is not supported (PR #116) +- Refactoring for potential performance improvements in loops from [@adbar](https://github.com/adbar) (PR #113) +- Various detection improvement (MD+CD) (PR #117) + +### Removed +- Remove redundant logging entry about detected language(s) (PR #115) + +### Fixed +- Fix a minor inconsistency between Python 3.5 and other versions regarding language detection (PR #117 #102) + +## [2.0.6](https://github.com/Ousret/charset_normalizer/compare/2.0.5...2.0.6) (2021-09-18) +### Fixed +- Unforeseen regression with the loss of the backward-compatibility with some older minor of Python 3.5.x (PR #100) +- Fix CLI crash when using --minimal output in certain cases (PR #103) + +### Changed +- Minor improvement to the detection efficiency (less than 1%) (PR #106 #101) + +## [2.0.5](https://github.com/Ousret/charset_normalizer/compare/2.0.4...2.0.5) (2021-09-14) +### Changed +- The project now comply with: flake8, mypy, isort and black to ensure a better overall quality (PR #81) +- The BC-support with v1.x was improved, the old staticmethods are restored (PR #82) +- The Unicode detection is slightly improved (PR #93) +- Add syntax sugar \_\_bool\_\_ for results CharsetMatches list-container (PR #91) + +### Removed +- The project no longer raise warning on tiny content given for detection, will be simply logged as warning instead (PR #92) + +### Fixed +- In some rare case, the chunks extractor could cut in the middle of a multi-byte character and could mislead the mess detection (PR #95) +- Some rare 'space' characters could trip up the UnprintablePlugin/Mess detection (PR #96) +- The MANIFEST.in was not exhaustive (PR #78) + +## [2.0.4](https://github.com/Ousret/charset_normalizer/compare/2.0.3...2.0.4) (2021-07-30) +### Fixed +- The CLI no longer raise an unexpected exception when no encoding has been found (PR #70) +- Fix accessing the 'alphabets' property when the payload contains surrogate characters (PR #68) +- The logger could mislead (explain=True) on detected languages and the impact of one MBCS match (PR #72) +- Submatch factoring could be wrong in rare edge cases (PR #72) +- Multiple files given to the CLI were ignored when publishing results to STDOUT. (After the first path) (PR #72) +- Fix line endings from CRLF to LF for certain project files (PR #67) + +### Changed +- Adjust the MD to lower the sensitivity, thus improving the global detection reliability (PR #69 #76) +- Allow fallback on specified encoding if any (PR #71) + +## [2.0.3](https://github.com/Ousret/charset_normalizer/compare/2.0.2...2.0.3) (2021-07-16) +### Changed +- Part of the detection mechanism has been improved to be less sensitive, resulting in more accurate detection results. Especially ASCII. (PR #63) +- According to the community wishes, the detection will fall back on ASCII or UTF-8 in a last-resort case. (PR #64) + +## [2.0.2](https://github.com/Ousret/charset_normalizer/compare/2.0.1...2.0.2) (2021-07-15) +### Fixed +- Empty/Too small JSON payload miss-detection fixed. Report from [@tseaver](https://github.com/tseaver) (PR #59) + +### Changed +- Don't inject unicodedata2 into sys.modules from [@akx](https://github.com/akx) (PR #57) + +## [2.0.1](https://github.com/Ousret/charset_normalizer/compare/2.0.0...2.0.1) (2021-07-13) +### Fixed +- Make it work where there isn't a filesystem available, dropping assets frequencies.json. Report from [@sethmlarson](https://github.com/sethmlarson). (PR #55) +- Using explain=False permanently disable the verbose output in the current runtime (PR #47) +- One log entry (language target preemptive) was not show in logs when using explain=True (PR #47) +- Fix undesired exception (ValueError) on getitem of instance CharsetMatches (PR #52) + +### Changed +- Public function normalize default args values were not aligned with from_bytes (PR #53) + +### Added +- You may now use charset aliases in cp_isolation and cp_exclusion arguments (PR #47) + +## [2.0.0](https://github.com/Ousret/charset_normalizer/compare/1.4.1...2.0.0) (2021-07-02) +### Changed +- 4x to 5 times faster than the previous 1.4.0 release. At least 2x faster than Chardet. +- Accent has been made on UTF-8 detection, should perform rather instantaneous. +- The backward compatibility with Chardet has been greatly improved. The legacy detect function returns an identical charset name whenever possible. +- The detection mechanism has been slightly improved, now Turkish content is detected correctly (most of the time) +- The program has been rewritten to ease the readability and maintainability. (+Using static typing)+ +- utf_7 detection has been reinstated. + +### Removed +- This package no longer require anything when used with Python 3.5 (Dropped cached_property) +- Removed support for these languages: Catalan, Esperanto, Kazakh, Baque, Volapük, Azeri, Galician, Nynorsk, Macedonian, and Serbocroatian. +- The exception hook on UnicodeDecodeError has been removed. + +### Deprecated +- Methods coherence_non_latin, w_counter, chaos_secondary_pass of the class CharsetMatch are now deprecated and scheduled for removal in v3.0 + +### Fixed +- The CLI output used the relative path of the file(s). Should be absolute. + +## [1.4.1](https://github.com/Ousret/charset_normalizer/compare/1.4.0...1.4.1) (2021-05-28) +### Fixed +- Logger configuration/usage no longer conflict with others (PR #44) + +## [1.4.0](https://github.com/Ousret/charset_normalizer/compare/1.3.9...1.4.0) (2021-05-21) +### Removed +- Using standard logging instead of using the package loguru. +- Dropping nose test framework in favor of the maintained pytest. +- Choose to not use dragonmapper package to help with gibberish Chinese/CJK text. +- Require cached_property only for Python 3.5 due to constraint. Dropping for every other interpreter version. +- Stop support for UTF-7 that does not contain a SIG. +- Dropping PrettyTable, replaced with pure JSON output in CLI. + +### Fixed +- BOM marker in a CharsetNormalizerMatch instance could be False in rare cases even if obviously present. Due to the sub-match factoring process. +- Not searching properly for the BOM when trying utf32/16 parent codec. + +### Changed +- Improving the package final size by compressing frequencies.json. +- Huge improvement over the larges payload. + +### Added +- CLI now produces JSON consumable output. +- Return ASCII if given sequences fit. Given reasonable confidence. + +## [1.3.9](https://github.com/Ousret/charset_normalizer/compare/1.3.8...1.3.9) (2021-05-13) + +### Fixed +- In some very rare cases, you may end up getting encode/decode errors due to a bad bytes payload (PR #40) + +## [1.3.8](https://github.com/Ousret/charset_normalizer/compare/1.3.7...1.3.8) (2021-05-12) + +### Fixed +- Empty given payload for detection may cause an exception if trying to access the `alphabets` property. (PR #39) + +## [1.3.7](https://github.com/Ousret/charset_normalizer/compare/1.3.6...1.3.7) (2021-05-12) + +### Fixed +- The legacy detect function should return UTF-8-SIG if sig is present in the payload. (PR #38) + +## [1.3.6](https://github.com/Ousret/charset_normalizer/compare/1.3.5...1.3.6) (2021-02-09) + +### Changed +- Amend the previous release to allow prettytable 2.0 (PR #35) + +## [1.3.5](https://github.com/Ousret/charset_normalizer/compare/1.3.4...1.3.5) (2021-02-08) + +### Fixed +- Fix error while using the package with a python pre-release interpreter (PR #33) + +### Changed +- Dependencies refactoring, constraints revised. + +### Added +- Add python 3.9 and 3.10 to the supported interpreters + +MIT License + +Copyright (c) 2025 TAHRI Ahmed R. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..b68f34a5ecf5305936236e6fa2e1821a8a2be733 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/RECORD @@ -0,0 +1,35 @@ +../../../bin/normalizer,sha256=AdtasBY3JnCl_CCMxOT2B6owMh-L2Qu7blyfyTvD6NE,255 +charset_normalizer-3.4.4.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 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0000000000000000000000000000000000000000..6d6bf82d678c683effaf22b612f4dea70dd9933d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/WHEEL @@ -0,0 +1,7 @@ +Wheel-Version: 1.0 +Generator: setuptools (80.9.0) +Root-Is-Purelib: false +Tag: cp310-cp310-manylinux_2_17_x86_64 +Tag: cp310-cp310-manylinux2014_x86_64 +Tag: cp310-cp310-manylinux_2_28_x86_64 + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/entry_points.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/entry_points.txt new file mode 100644 index 0000000000000000000000000000000000000000..65619e73ec06c20c2a70c9507b872ad624d1a85c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/entry_points.txt @@ -0,0 +1,2 @@ +[console_scripts] +normalizer = charset_normalizer.cli:cli_detect diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/licenses/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..9725772c7967075d97dc78d60f3735435eccba63 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/licenses/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025 TAHRI Ahmed R. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/top_level.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..66958f0a069d7aea7939bed40b9197608e93b243 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer-3.4.4.dist-info/top_level.txt @@ -0,0 +1 @@ +charset_normalizer diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..0d3a37990145e94ad85406166dbaf52f4c311e5e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/__init__.py @@ -0,0 +1,48 @@ +""" +Charset-Normalizer +~~~~~~~~~~~~~~ +The Real First Universal Charset Detector. +A library that helps you read text from an unknown charset encoding. +Motivated by chardet, This package is trying to resolve the issue by taking a new approach. +All IANA character set names for which the Python core library provides codecs are supported. + +Basic usage: + >>> from charset_normalizer import from_bytes + >>> results = from_bytes('Bсеки човек има право на образование. Oбразованието!'.encode('utf_8')) + >>> best_guess = results.best() + >>> str(best_guess) + 'Bсеки човек има право на образование. Oбразованието!' + +Others methods and usages are available - see the full documentation +at . +:copyright: (c) 2021 by Ahmed TAHRI +:license: MIT, see LICENSE for more details. +""" + +from __future__ import annotations + +import logging + +from .api import from_bytes, from_fp, from_path, is_binary +from .legacy import detect +from .models import CharsetMatch, CharsetMatches +from .utils import set_logging_handler +from .version import VERSION, __version__ + +__all__ = ( + "from_fp", + "from_path", + "from_bytes", + "is_binary", + "detect", + "CharsetMatch", + "CharsetMatches", + "__version__", + "VERSION", + "set_logging_handler", +) + +# Attach a NullHandler to the top level logger by default +# https://docs.python.org/3.3/howto/logging.html#configuring-logging-for-a-library + +logging.getLogger("charset_normalizer").addHandler(logging.NullHandler()) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/__main__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/__main__.py new file mode 100644 index 0000000000000000000000000000000000000000..e0e76f7bfbb411d4424d3a1834b0ea803d80ea7e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/__main__.py @@ -0,0 +1,6 @@ +from __future__ import annotations + +from .cli import cli_detect + +if __name__ == "__main__": + cli_detect() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/api.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/api.py new file mode 100644 index 0000000000000000000000000000000000000000..ebd96390507bac07ae21d513b45777011a539892 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/api.py @@ -0,0 +1,669 @@ +from __future__ import annotations + +import logging +from os import PathLike +from typing import BinaryIO + +from .cd import ( + coherence_ratio, + encoding_languages, + mb_encoding_languages, + merge_coherence_ratios, +) +from .constant import IANA_SUPPORTED, TOO_BIG_SEQUENCE, TOO_SMALL_SEQUENCE, TRACE +from .md import mess_ratio +from .models import CharsetMatch, CharsetMatches +from .utils import ( + any_specified_encoding, + cut_sequence_chunks, + iana_name, + identify_sig_or_bom, + is_cp_similar, + is_multi_byte_encoding, + should_strip_sig_or_bom, +) + +logger = logging.getLogger("charset_normalizer") +explain_handler = logging.StreamHandler() +explain_handler.setFormatter( + logging.Formatter("%(asctime)s | %(levelname)s | %(message)s") +) + + +def from_bytes( + sequences: bytes | bytearray, + steps: int = 5, + chunk_size: int = 512, + threshold: float = 0.2, + cp_isolation: list[str] | None = None, + cp_exclusion: list[str] | None = None, + preemptive_behaviour: bool = True, + explain: bool = False, + language_threshold: float = 0.1, + enable_fallback: bool = True, +) -> CharsetMatches: + """ + Given a raw bytes sequence, return the best possibles charset usable to render str objects. + If there is no results, it is a strong indicator that the source is binary/not text. + By default, the process will extract 5 blocks of 512o each to assess the mess and coherence of a given sequence. + And will give up a particular code page after 20% of measured mess. Those criteria are customizable at will. + + The preemptive behavior DOES NOT replace the traditional detection workflow, it prioritize a particular code page + but never take it for granted. Can improve the performance. + + You may want to focus your attention to some code page or/and not others, use cp_isolation and cp_exclusion for that + purpose. + + This function will strip the SIG in the payload/sequence every time except on UTF-16, UTF-32. + By default the library does not setup any handler other than the NullHandler, if you choose to set the 'explain' + toggle to True it will alter the logger configuration to add a StreamHandler that is suitable for debugging. + Custom logging format and handler can be set manually. + """ + + if not isinstance(sequences, (bytearray, bytes)): + raise TypeError( + "Expected object of type bytes or bytearray, got: {}".format( + type(sequences) + ) + ) + + if explain: + previous_logger_level: int = logger.level + logger.addHandler(explain_handler) + logger.setLevel(TRACE) + + length: int = len(sequences) + + if length == 0: + logger.debug("Encoding detection on empty bytes, assuming utf_8 intention.") + if explain: # Defensive: ensure exit path clean handler + logger.removeHandler(explain_handler) + logger.setLevel(previous_logger_level or logging.WARNING) + return CharsetMatches([CharsetMatch(sequences, "utf_8", 0.0, False, [], "")]) + + if cp_isolation is not None: + logger.log( + TRACE, + "cp_isolation is set. use this flag for debugging purpose. " + "limited list of encoding allowed : %s.", + ", ".join(cp_isolation), + ) + cp_isolation = [iana_name(cp, False) for cp in cp_isolation] + else: + cp_isolation = [] + + if cp_exclusion is not None: + logger.log( + TRACE, + "cp_exclusion is set. use this flag for debugging purpose. " + "limited list of encoding excluded : %s.", + ", ".join(cp_exclusion), + ) + cp_exclusion = [iana_name(cp, False) for cp in cp_exclusion] + else: + cp_exclusion = [] + + if length <= (chunk_size * steps): + logger.log( + TRACE, + "override steps (%i) and chunk_size (%i) as content does not fit (%i byte(s) given) parameters.", + steps, + chunk_size, + length, + ) + steps = 1 + chunk_size = length + + if steps > 1 and length / steps < chunk_size: + chunk_size = int(length / steps) + + is_too_small_sequence: bool = len(sequences) < TOO_SMALL_SEQUENCE + is_too_large_sequence: bool = len(sequences) >= TOO_BIG_SEQUENCE + + if is_too_small_sequence: + logger.log( + TRACE, + "Trying to detect encoding from a tiny portion of ({}) byte(s).".format( + length + ), + ) + elif is_too_large_sequence: + logger.log( + TRACE, + "Using lazy str decoding because the payload is quite large, ({}) byte(s).".format( + length + ), + ) + + prioritized_encodings: list[str] = [] + + specified_encoding: str | None = ( + any_specified_encoding(sequences) if preemptive_behaviour else None + ) + + if specified_encoding is not None: + prioritized_encodings.append(specified_encoding) + logger.log( + TRACE, + "Detected declarative mark in sequence. Priority +1 given for %s.", + specified_encoding, + ) + + tested: set[str] = set() + tested_but_hard_failure: list[str] = [] + tested_but_soft_failure: list[str] = [] + + fallback_ascii: CharsetMatch | None = None + fallback_u8: CharsetMatch | None = None + fallback_specified: CharsetMatch | None = None + + results: CharsetMatches = CharsetMatches() + + early_stop_results: CharsetMatches = CharsetMatches() + + sig_encoding, sig_payload = identify_sig_or_bom(sequences) + + if sig_encoding is not None: + prioritized_encodings.append(sig_encoding) + logger.log( + TRACE, + "Detected a SIG or BOM mark on first %i byte(s). Priority +1 given for %s.", + len(sig_payload), + sig_encoding, + ) + + prioritized_encodings.append("ascii") + + if "utf_8" not in prioritized_encodings: + prioritized_encodings.append("utf_8") + + for encoding_iana in prioritized_encodings + IANA_SUPPORTED: + if cp_isolation and encoding_iana not in cp_isolation: + continue + + if cp_exclusion and encoding_iana in cp_exclusion: + continue + + if encoding_iana in tested: + continue + + tested.add(encoding_iana) + + decoded_payload: str | None = None + bom_or_sig_available: bool = sig_encoding == encoding_iana + strip_sig_or_bom: bool = bom_or_sig_available and should_strip_sig_or_bom( + encoding_iana + ) + + if encoding_iana in {"utf_16", "utf_32"} and not bom_or_sig_available: + logger.log( + TRACE, + "Encoding %s won't be tested as-is because it require a BOM. Will try some sub-encoder LE/BE.", + encoding_iana, + ) + continue + if encoding_iana in {"utf_7"} and not bom_or_sig_available: + logger.log( + TRACE, + "Encoding %s won't be tested as-is because detection is unreliable without BOM/SIG.", + encoding_iana, + ) + continue + + try: + is_multi_byte_decoder: bool = is_multi_byte_encoding(encoding_iana) + except (ModuleNotFoundError, ImportError): + logger.log( + TRACE, + "Encoding %s does not provide an IncrementalDecoder", + encoding_iana, + ) + continue + + try: + if is_too_large_sequence and is_multi_byte_decoder is False: + str( + ( + sequences[: int(50e4)] + if strip_sig_or_bom is False + else sequences[len(sig_payload) : int(50e4)] + ), + encoding=encoding_iana, + ) + else: + decoded_payload = str( + ( + sequences + if strip_sig_or_bom is False + else sequences[len(sig_payload) :] + ), + encoding=encoding_iana, + ) + except (UnicodeDecodeError, LookupError) as e: + if not isinstance(e, LookupError): + logger.log( + TRACE, + "Code page %s does not fit given bytes sequence at ALL. %s", + encoding_iana, + str(e), + ) + tested_but_hard_failure.append(encoding_iana) + continue + + similar_soft_failure_test: bool = False + + for encoding_soft_failed in tested_but_soft_failure: + if is_cp_similar(encoding_iana, encoding_soft_failed): + similar_soft_failure_test = True + break + + if similar_soft_failure_test: + logger.log( + TRACE, + "%s is deemed too similar to code page %s and was consider unsuited already. Continuing!", + encoding_iana, + encoding_soft_failed, + ) + continue + + r_ = range( + 0 if not bom_or_sig_available else len(sig_payload), + length, + int(length / steps), + ) + + multi_byte_bonus: bool = ( + is_multi_byte_decoder + and decoded_payload is not None + and len(decoded_payload) < length + ) + + if multi_byte_bonus: + logger.log( + TRACE, + "Code page %s is a multi byte encoding table and it appear that at least one character " + "was encoded using n-bytes.", + encoding_iana, + ) + + max_chunk_gave_up: int = int(len(r_) / 4) + + max_chunk_gave_up = max(max_chunk_gave_up, 2) + early_stop_count: int = 0 + lazy_str_hard_failure = False + + md_chunks: list[str] = [] + md_ratios = [] + + try: + for chunk in cut_sequence_chunks( + sequences, + encoding_iana, + r_, + chunk_size, + bom_or_sig_available, + strip_sig_or_bom, + sig_payload, + is_multi_byte_decoder, + decoded_payload, + ): + md_chunks.append(chunk) + + md_ratios.append( + mess_ratio( + chunk, + threshold, + explain is True and 1 <= len(cp_isolation) <= 2, + ) + ) + + if md_ratios[-1] >= threshold: + early_stop_count += 1 + + if (early_stop_count >= max_chunk_gave_up) or ( + bom_or_sig_available and strip_sig_or_bom is False + ): + break + except ( + UnicodeDecodeError + ) as e: # Lazy str loading may have missed something there + logger.log( + TRACE, + "LazyStr Loading: After MD chunk decode, code page %s does not fit given bytes sequence at ALL. %s", + encoding_iana, + str(e), + ) + early_stop_count = max_chunk_gave_up + lazy_str_hard_failure = True + + # We might want to check the sequence again with the whole content + # Only if initial MD tests passes + if ( + not lazy_str_hard_failure + and is_too_large_sequence + and not is_multi_byte_decoder + ): + try: + sequences[int(50e3) :].decode(encoding_iana, errors="strict") + except UnicodeDecodeError as e: + logger.log( + TRACE, + "LazyStr Loading: After final lookup, code page %s does not fit given bytes sequence at ALL. %s", + encoding_iana, + str(e), + ) + tested_but_hard_failure.append(encoding_iana) + continue + + mean_mess_ratio: float = sum(md_ratios) / len(md_ratios) if md_ratios else 0.0 + if mean_mess_ratio >= threshold or early_stop_count >= max_chunk_gave_up: + tested_but_soft_failure.append(encoding_iana) + logger.log( + TRACE, + "%s was excluded because of initial chaos probing. Gave up %i time(s). " + "Computed mean chaos is %f %%.", + encoding_iana, + early_stop_count, + round(mean_mess_ratio * 100, ndigits=3), + ) + # Preparing those fallbacks in case we got nothing. + if ( + enable_fallback + and encoding_iana + in ["ascii", "utf_8", specified_encoding, "utf_16", "utf_32"] + and not lazy_str_hard_failure + ): + fallback_entry = CharsetMatch( + sequences, + encoding_iana, + threshold, + bom_or_sig_available, + [], + decoded_payload, + preemptive_declaration=specified_encoding, + ) + if encoding_iana == specified_encoding: + fallback_specified = fallback_entry + elif encoding_iana == "ascii": + fallback_ascii = fallback_entry + else: + fallback_u8 = fallback_entry + continue + + logger.log( + TRACE, + "%s passed initial chaos probing. Mean measured chaos is %f %%", + encoding_iana, + round(mean_mess_ratio * 100, ndigits=3), + ) + + if not is_multi_byte_decoder: + target_languages: list[str] = encoding_languages(encoding_iana) + else: + target_languages = mb_encoding_languages(encoding_iana) + + if target_languages: + logger.log( + TRACE, + "{} should target any language(s) of {}".format( + encoding_iana, str(target_languages) + ), + ) + + cd_ratios = [] + + # We shall skip the CD when its about ASCII + # Most of the time its not relevant to run "language-detection" on it. + if encoding_iana != "ascii": + for chunk in md_chunks: + chunk_languages = coherence_ratio( + chunk, + language_threshold, + ",".join(target_languages) if target_languages else None, + ) + + cd_ratios.append(chunk_languages) + + cd_ratios_merged = merge_coherence_ratios(cd_ratios) + + if cd_ratios_merged: + logger.log( + TRACE, + "We detected language {} using {}".format( + cd_ratios_merged, encoding_iana + ), + ) + + current_match = CharsetMatch( + sequences, + encoding_iana, + mean_mess_ratio, + bom_or_sig_available, + cd_ratios_merged, + ( + decoded_payload + if ( + is_too_large_sequence is False + or encoding_iana in [specified_encoding, "ascii", "utf_8"] + ) + else None + ), + preemptive_declaration=specified_encoding, + ) + + results.append(current_match) + + if ( + encoding_iana in [specified_encoding, "ascii", "utf_8"] + and mean_mess_ratio < 0.1 + ): + # If md says nothing to worry about, then... stop immediately! + if mean_mess_ratio == 0.0: + logger.debug( + "Encoding detection: %s is most likely the one.", + current_match.encoding, + ) + if explain: # Defensive: ensure exit path clean handler + logger.removeHandler(explain_handler) + logger.setLevel(previous_logger_level) + return CharsetMatches([current_match]) + + early_stop_results.append(current_match) + + if ( + len(early_stop_results) + and (specified_encoding is None or specified_encoding in tested) + and "ascii" in tested + and "utf_8" in tested + ): + probable_result: CharsetMatch = early_stop_results.best() # type: ignore[assignment] + logger.debug( + "Encoding detection: %s is most likely the one.", + probable_result.encoding, + ) + if explain: # Defensive: ensure exit path clean handler + logger.removeHandler(explain_handler) + logger.setLevel(previous_logger_level) + + return CharsetMatches([probable_result]) + + if encoding_iana == sig_encoding: + logger.debug( + "Encoding detection: %s is most likely the one as we detected a BOM or SIG within " + "the beginning of the sequence.", + encoding_iana, + ) + if explain: # Defensive: ensure exit path clean handler + logger.removeHandler(explain_handler) + logger.setLevel(previous_logger_level) + return CharsetMatches([results[encoding_iana]]) + + if len(results) == 0: + if fallback_u8 or fallback_ascii or fallback_specified: + logger.log( + TRACE, + "Nothing got out of the detection process. Using ASCII/UTF-8/Specified fallback.", + ) + + if fallback_specified: + logger.debug( + "Encoding detection: %s will be used as a fallback match", + fallback_specified.encoding, + ) + results.append(fallback_specified) + elif ( + (fallback_u8 and fallback_ascii is None) + or ( + fallback_u8 + and fallback_ascii + and fallback_u8.fingerprint != fallback_ascii.fingerprint + ) + or (fallback_u8 is not None) + ): + logger.debug("Encoding detection: utf_8 will be used as a fallback match") + results.append(fallback_u8) + elif fallback_ascii: + logger.debug("Encoding detection: ascii will be used as a fallback match") + results.append(fallback_ascii) + + if results: + logger.debug( + "Encoding detection: Found %s as plausible (best-candidate) for content. With %i alternatives.", + results.best().encoding, # type: ignore + len(results) - 1, + ) + else: + logger.debug("Encoding detection: Unable to determine any suitable charset.") + + if explain: + logger.removeHandler(explain_handler) + logger.setLevel(previous_logger_level) + + return results + + +def from_fp( + fp: BinaryIO, + steps: int = 5, + chunk_size: int = 512, + threshold: float = 0.20, + cp_isolation: list[str] | None = None, + cp_exclusion: list[str] | None = None, + preemptive_behaviour: bool = True, + explain: bool = False, + language_threshold: float = 0.1, + enable_fallback: bool = True, +) -> CharsetMatches: + """ + Same thing than the function from_bytes but using a file pointer that is already ready. + Will not close the file pointer. + """ + return from_bytes( + fp.read(), + steps, + chunk_size, + threshold, + cp_isolation, + cp_exclusion, + preemptive_behaviour, + explain, + language_threshold, + enable_fallback, + ) + + +def from_path( + path: str | bytes | PathLike, # type: ignore[type-arg] + steps: int = 5, + chunk_size: int = 512, + threshold: float = 0.20, + cp_isolation: list[str] | None = None, + cp_exclusion: list[str] | None = None, + preemptive_behaviour: bool = True, + explain: bool = False, + language_threshold: float = 0.1, + enable_fallback: bool = True, +) -> CharsetMatches: + """ + Same thing than the function from_bytes but with one extra step. Opening and reading given file path in binary mode. + Can raise IOError. + """ + with open(path, "rb") as fp: + return from_fp( + fp, + steps, + chunk_size, + threshold, + cp_isolation, + cp_exclusion, + preemptive_behaviour, + explain, + language_threshold, + enable_fallback, + ) + + +def is_binary( + fp_or_path_or_payload: PathLike | str | BinaryIO | bytes, # type: ignore[type-arg] + steps: int = 5, + chunk_size: int = 512, + threshold: float = 0.20, + cp_isolation: list[str] | None = None, + cp_exclusion: list[str] | None = None, + preemptive_behaviour: bool = True, + explain: bool = False, + language_threshold: float = 0.1, + enable_fallback: bool = False, +) -> bool: + """ + Detect if the given input (file, bytes, or path) points to a binary file. aka. not a string. + Based on the same main heuristic algorithms and default kwargs at the sole exception that fallbacks match + are disabled to be stricter around ASCII-compatible but unlikely to be a string. + """ + if isinstance(fp_or_path_or_payload, (str, PathLike)): + guesses = from_path( + fp_or_path_or_payload, + steps=steps, + chunk_size=chunk_size, + threshold=threshold, + cp_isolation=cp_isolation, + cp_exclusion=cp_exclusion, + preemptive_behaviour=preemptive_behaviour, + explain=explain, + language_threshold=language_threshold, + enable_fallback=enable_fallback, + ) + elif isinstance( + fp_or_path_or_payload, + ( + bytes, + bytearray, + ), + ): + guesses = from_bytes( + fp_or_path_or_payload, + steps=steps, + chunk_size=chunk_size, + threshold=threshold, + cp_isolation=cp_isolation, + cp_exclusion=cp_exclusion, + preemptive_behaviour=preemptive_behaviour, + explain=explain, + language_threshold=language_threshold, + enable_fallback=enable_fallback, + ) + else: + guesses = from_fp( + fp_or_path_or_payload, + steps=steps, + chunk_size=chunk_size, + threshold=threshold, + cp_isolation=cp_isolation, + cp_exclusion=cp_exclusion, + preemptive_behaviour=preemptive_behaviour, + explain=explain, + language_threshold=language_threshold, + enable_fallback=enable_fallback, + ) + + return not guesses diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/cd.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/cd.py new file mode 100644 index 0000000000000000000000000000000000000000..71a3ed5197f788135bb700a15a64594780aa6337 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/cd.py @@ -0,0 +1,395 @@ +from __future__ import annotations + +import importlib +from codecs import IncrementalDecoder +from collections import Counter +from functools import lru_cache +from typing import Counter as TypeCounter + +from .constant import ( + FREQUENCIES, + KO_NAMES, + LANGUAGE_SUPPORTED_COUNT, + TOO_SMALL_SEQUENCE, + ZH_NAMES, +) +from .md import is_suspiciously_successive_range +from .models import CoherenceMatches +from .utils import ( + is_accentuated, + is_latin, + is_multi_byte_encoding, + is_unicode_range_secondary, + unicode_range, +) + + +def encoding_unicode_range(iana_name: str) -> list[str]: + """ + Return associated unicode ranges in a single byte code page. + """ + if is_multi_byte_encoding(iana_name): + raise OSError("Function not supported on multi-byte code page") + + decoder = importlib.import_module(f"encodings.{iana_name}").IncrementalDecoder + + p: IncrementalDecoder = decoder(errors="ignore") + seen_ranges: dict[str, int] = {} + character_count: int = 0 + + for i in range(0x40, 0xFF): + chunk: str = p.decode(bytes([i])) + + if chunk: + character_range: str | None = unicode_range(chunk) + + if character_range is None: + continue + + if is_unicode_range_secondary(character_range) is False: + if character_range not in seen_ranges: + seen_ranges[character_range] = 0 + seen_ranges[character_range] += 1 + character_count += 1 + + return sorted( + [ + character_range + for character_range in seen_ranges + if seen_ranges[character_range] / character_count >= 0.15 + ] + ) + + +def unicode_range_languages(primary_range: str) -> list[str]: + """ + Return inferred languages used with a unicode range. + """ + languages: list[str] = [] + + for language, characters in FREQUENCIES.items(): + for character in characters: + if unicode_range(character) == primary_range: + languages.append(language) + break + + return languages + + +@lru_cache() +def encoding_languages(iana_name: str) -> list[str]: + """ + Single-byte encoding language association. Some code page are heavily linked to particular language(s). + This function does the correspondence. + """ + unicode_ranges: list[str] = encoding_unicode_range(iana_name) + primary_range: str | None = None + + for specified_range in unicode_ranges: + if "Latin" not in specified_range: + primary_range = specified_range + break + + if primary_range is None: + return ["Latin Based"] + + return unicode_range_languages(primary_range) + + +@lru_cache() +def mb_encoding_languages(iana_name: str) -> list[str]: + """ + Multi-byte encoding language association. Some code page are heavily linked to particular language(s). + This function does the correspondence. + """ + if ( + iana_name.startswith("shift_") + or iana_name.startswith("iso2022_jp") + or iana_name.startswith("euc_j") + or iana_name == "cp932" + ): + return ["Japanese"] + if iana_name.startswith("gb") or iana_name in ZH_NAMES: + return ["Chinese"] + if iana_name.startswith("iso2022_kr") or iana_name in KO_NAMES: + return ["Korean"] + + return [] + + +@lru_cache(maxsize=LANGUAGE_SUPPORTED_COUNT) +def get_target_features(language: str) -> tuple[bool, bool]: + """ + Determine main aspects from a supported language if it contains accents and if is pure Latin. + """ + target_have_accents: bool = False + target_pure_latin: bool = True + + for character in FREQUENCIES[language]: + if not target_have_accents and is_accentuated(character): + target_have_accents = True + if target_pure_latin and is_latin(character) is False: + target_pure_latin = False + + return target_have_accents, target_pure_latin + + +def alphabet_languages( + characters: list[str], ignore_non_latin: bool = False +) -> list[str]: + """ + Return associated languages associated to given characters. + """ + languages: list[tuple[str, float]] = [] + + source_have_accents = any(is_accentuated(character) for character in characters) + + for language, language_characters in FREQUENCIES.items(): + target_have_accents, target_pure_latin = get_target_features(language) + + if ignore_non_latin and target_pure_latin is False: + continue + + if target_have_accents is False and source_have_accents: + continue + + character_count: int = len(language_characters) + + character_match_count: int = len( + [c for c in language_characters if c in characters] + ) + + ratio: float = character_match_count / character_count + + if ratio >= 0.2: + languages.append((language, ratio)) + + languages = sorted(languages, key=lambda x: x[1], reverse=True) + + return [compatible_language[0] for compatible_language in languages] + + +def characters_popularity_compare( + language: str, ordered_characters: list[str] +) -> float: + """ + Determine if a ordered characters list (by occurrence from most appearance to rarest) match a particular language. + The result is a ratio between 0. (absolutely no correspondence) and 1. (near perfect fit). + Beware that is function is not strict on the match in order to ease the detection. (Meaning close match is 1.) + """ + if language not in FREQUENCIES: + raise ValueError(f"{language} not available") + + character_approved_count: int = 0 + FREQUENCIES_language_set = set(FREQUENCIES[language]) + + ordered_characters_count: int = len(ordered_characters) + target_language_characters_count: int = len(FREQUENCIES[language]) + + large_alphabet: bool = target_language_characters_count > 26 + + for character, character_rank in zip( + ordered_characters, range(0, ordered_characters_count) + ): + if character not in FREQUENCIES_language_set: + continue + + character_rank_in_language: int = FREQUENCIES[language].index(character) + expected_projection_ratio: float = ( + target_language_characters_count / ordered_characters_count + ) + character_rank_projection: int = int(character_rank * expected_projection_ratio) + + if ( + large_alphabet is False + and abs(character_rank_projection - character_rank_in_language) > 4 + ): + continue + + if ( + large_alphabet is True + and abs(character_rank_projection - character_rank_in_language) + < target_language_characters_count / 3 + ): + character_approved_count += 1 + continue + + characters_before_source: list[str] = FREQUENCIES[language][ + 0:character_rank_in_language + ] + characters_after_source: list[str] = FREQUENCIES[language][ + character_rank_in_language: + ] + characters_before: list[str] = ordered_characters[0:character_rank] + characters_after: list[str] = ordered_characters[character_rank:] + + before_match_count: int = len( + set(characters_before) & set(characters_before_source) + ) + + after_match_count: int = len( + set(characters_after) & set(characters_after_source) + ) + + if len(characters_before_source) == 0 and before_match_count <= 4: + character_approved_count += 1 + continue + + if len(characters_after_source) == 0 and after_match_count <= 4: + character_approved_count += 1 + continue + + if ( + before_match_count / len(characters_before_source) >= 0.4 + or after_match_count / len(characters_after_source) >= 0.4 + ): + character_approved_count += 1 + continue + + return character_approved_count / len(ordered_characters) + + +def alpha_unicode_split(decoded_sequence: str) -> list[str]: + """ + Given a decoded text sequence, return a list of str. Unicode range / alphabet separation. + Ex. a text containing English/Latin with a bit a Hebrew will return two items in the resulting list; + One containing the latin letters and the other hebrew. + """ + layers: dict[str, str] = {} + + for character in decoded_sequence: + if character.isalpha() is False: + continue + + character_range: str | None = unicode_range(character) + + if character_range is None: + continue + + layer_target_range: str | None = None + + for discovered_range in layers: + if ( + is_suspiciously_successive_range(discovered_range, character_range) + is False + ): + layer_target_range = discovered_range + break + + if layer_target_range is None: + layer_target_range = character_range + + if layer_target_range not in layers: + layers[layer_target_range] = character.lower() + continue + + layers[layer_target_range] += character.lower() + + return list(layers.values()) + + +def merge_coherence_ratios(results: list[CoherenceMatches]) -> CoherenceMatches: + """ + This function merge results previously given by the function coherence_ratio. + The return type is the same as coherence_ratio. + """ + per_language_ratios: dict[str, list[float]] = {} + for result in results: + for sub_result in result: + language, ratio = sub_result + if language not in per_language_ratios: + per_language_ratios[language] = [ratio] + continue + per_language_ratios[language].append(ratio) + + merge = [ + ( + language, + round( + sum(per_language_ratios[language]) / len(per_language_ratios[language]), + 4, + ), + ) + for language in per_language_ratios + ] + + return sorted(merge, key=lambda x: x[1], reverse=True) + + +def filter_alt_coherence_matches(results: CoherenceMatches) -> CoherenceMatches: + """ + We shall NOT return "English—" in CoherenceMatches because it is an alternative + of "English". This function only keeps the best match and remove the em-dash in it. + """ + index_results: dict[str, list[float]] = dict() + + for result in results: + language, ratio = result + no_em_name: str = language.replace("—", "") + + if no_em_name not in index_results: + index_results[no_em_name] = [] + + index_results[no_em_name].append(ratio) + + if any(len(index_results[e]) > 1 for e in index_results): + filtered_results: CoherenceMatches = [] + + for language in index_results: + filtered_results.append((language, max(index_results[language]))) + + return filtered_results + + return results + + +@lru_cache(maxsize=2048) +def coherence_ratio( + decoded_sequence: str, threshold: float = 0.1, lg_inclusion: str | None = None +) -> CoherenceMatches: + """ + Detect ANY language that can be identified in given sequence. The sequence will be analysed by layers. + A layer = Character extraction by alphabets/ranges. + """ + + results: list[tuple[str, float]] = [] + ignore_non_latin: bool = False + + sufficient_match_count: int = 0 + + lg_inclusion_list = lg_inclusion.split(",") if lg_inclusion is not None else [] + if "Latin Based" in lg_inclusion_list: + ignore_non_latin = True + lg_inclusion_list.remove("Latin Based") + + for layer in alpha_unicode_split(decoded_sequence): + sequence_frequencies: TypeCounter[str] = Counter(layer) + most_common = sequence_frequencies.most_common() + + character_count: int = sum(o for c, o in most_common) + + if character_count <= TOO_SMALL_SEQUENCE: + continue + + popular_character_ordered: list[str] = [c for c, o in most_common] + + for language in lg_inclusion_list or alphabet_languages( + popular_character_ordered, ignore_non_latin + ): + ratio: float = characters_popularity_compare( + language, popular_character_ordered + ) + + if ratio < threshold: + continue + elif ratio >= 0.8: + sufficient_match_count += 1 + + results.append((language, round(ratio, 4))) + + if sufficient_match_count >= 3: + break + + return sorted( + filter_alt_coherence_matches(results), key=lambda x: x[1], reverse=True + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/cli/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/cli/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..543a5a4de49d07690e73df778aa580589d0789c6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/cli/__init__.py @@ -0,0 +1,8 @@ +from __future__ import annotations + +from .__main__ import cli_detect, query_yes_no + +__all__ = ( + "cli_detect", + "query_yes_no", +) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/cli/__main__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/cli/__main__.py new file mode 100644 index 0000000000000000000000000000000000000000..cb64156a0fc164442acc4f4517975a5699d26354 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/cli/__main__.py @@ -0,0 +1,381 @@ +from __future__ import annotations + +import argparse +import sys +import typing +from json import dumps +from os.path import abspath, basename, dirname, join, realpath +from platform import python_version +from unicodedata import unidata_version + +import charset_normalizer.md as md_module +from charset_normalizer import from_fp +from charset_normalizer.models import CliDetectionResult +from charset_normalizer.version import __version__ + + +def query_yes_no(question: str, default: str = "yes") -> bool: + """Ask a yes/no question via input() and return their answer. + + "question" is a string that is presented to the user. + "default" is the presumed answer if the user just hits . + It must be "yes" (the default), "no" or None (meaning + an answer is required of the user). + + The "answer" return value is True for "yes" or False for "no". + + Credit goes to (c) https://stackoverflow.com/questions/3041986/apt-command-line-interface-like-yes-no-input + """ + valid = {"yes": True, "y": True, "ye": True, "no": False, "n": False} + if default is None: + prompt = " [y/n] " + elif default == "yes": + prompt = " [Y/n] " + elif default == "no": + prompt = " [y/N] " + else: + raise ValueError("invalid default answer: '%s'" % default) + + while True: + sys.stdout.write(question + prompt) + choice = input().lower() + if default is not None and choice == "": + return valid[default] + elif choice in valid: + return valid[choice] + else: + sys.stdout.write("Please respond with 'yes' or 'no' (or 'y' or 'n').\n") + + +class FileType: + """Factory for creating file object types + + Instances of FileType are typically passed as type= arguments to the + ArgumentParser add_argument() method. + + Keyword Arguments: + - mode -- A string indicating how the file is to be opened. Accepts the + same values as the builtin open() function. + - bufsize -- The file's desired buffer size. Accepts the same values as + the builtin open() function. + - encoding -- The file's encoding. Accepts the same values as the + builtin open() function. + - errors -- A string indicating how encoding and decoding errors are to + be handled. Accepts the same value as the builtin open() function. + + Backported from CPython 3.12 + """ + + def __init__( + self, + mode: str = "r", + bufsize: int = -1, + encoding: str | None = None, + errors: str | None = None, + ): + self._mode = mode + self._bufsize = bufsize + self._encoding = encoding + self._errors = errors + + def __call__(self, string: str) -> typing.IO: # type: ignore[type-arg] + # the special argument "-" means sys.std{in,out} + if string == "-": + if "r" in self._mode: + return sys.stdin.buffer if "b" in self._mode else sys.stdin + elif any(c in self._mode for c in "wax"): + return sys.stdout.buffer if "b" in self._mode else sys.stdout + else: + msg = f'argument "-" with mode {self._mode}' + raise ValueError(msg) + + # all other arguments are used as file names + try: + return open(string, self._mode, self._bufsize, self._encoding, self._errors) + except OSError as e: + message = f"can't open '{string}': {e}" + raise argparse.ArgumentTypeError(message) + + def __repr__(self) -> str: + args = self._mode, self._bufsize + kwargs = [("encoding", self._encoding), ("errors", self._errors)] + args_str = ", ".join( + [repr(arg) for arg in args if arg != -1] + + [f"{kw}={arg!r}" for kw, arg in kwargs if arg is not None] + ) + return f"{type(self).__name__}({args_str})" + + +def cli_detect(argv: list[str] | None = None) -> int: + """ + CLI assistant using ARGV and ArgumentParser + :param argv: + :return: 0 if everything is fine, anything else equal trouble + """ + parser = argparse.ArgumentParser( + description="The Real First Universal Charset Detector. " + "Discover originating encoding used on text file. " + "Normalize text to unicode." + ) + + parser.add_argument( + "files", type=FileType("rb"), nargs="+", help="File(s) to be analysed" + ) + parser.add_argument( + "-v", + "--verbose", + action="store_true", + default=False, + dest="verbose", + help="Display complementary information about file if any. " + "Stdout will contain logs about the detection process.", + ) + parser.add_argument( + "-a", + "--with-alternative", + action="store_true", + default=False, + dest="alternatives", + help="Output complementary possibilities if any. Top-level JSON WILL be a list.", + ) + parser.add_argument( + "-n", + "--normalize", + action="store_true", + default=False, + dest="normalize", + help="Permit to normalize input file. If not set, program does not write anything.", + ) + parser.add_argument( + "-m", + "--minimal", + action="store_true", + default=False, + dest="minimal", + help="Only output the charset detected to STDOUT. Disabling JSON output.", + ) + parser.add_argument( + "-r", + "--replace", + action="store_true", + default=False, + dest="replace", + help="Replace file when trying to normalize it instead of creating a new one.", + ) + parser.add_argument( + "-f", + "--force", + action="store_true", + default=False, + dest="force", + help="Replace file without asking if you are sure, use this flag with caution.", + ) + parser.add_argument( + "-i", + "--no-preemptive", + action="store_true", + default=False, + dest="no_preemptive", + help="Disable looking at a charset declaration to hint the detector.", + ) + parser.add_argument( + "-t", + "--threshold", + action="store", + default=0.2, + type=float, + dest="threshold", + help="Define a custom maximum amount of noise allowed in decoded content. 0. <= noise <= 1.", + ) + parser.add_argument( + "--version", + action="version", + version="Charset-Normalizer {} - Python {} - Unicode {} - SpeedUp {}".format( + __version__, + python_version(), + unidata_version, + "OFF" if md_module.__file__.lower().endswith(".py") else "ON", + ), + help="Show version information and exit.", + ) + + args = parser.parse_args(argv) + + if args.replace is True and args.normalize is False: + if args.files: + for my_file in args.files: + my_file.close() + print("Use --replace in addition of --normalize only.", file=sys.stderr) + return 1 + + if args.force is True and args.replace is False: + if args.files: + for my_file in args.files: + my_file.close() + print("Use --force in addition of --replace only.", file=sys.stderr) + return 1 + + if args.threshold < 0.0 or args.threshold > 1.0: + if args.files: + for my_file in args.files: + my_file.close() + print("--threshold VALUE should be between 0. AND 1.", file=sys.stderr) + return 1 + + x_ = [] + + for my_file in args.files: + matches = from_fp( + my_file, + threshold=args.threshold, + explain=args.verbose, + preemptive_behaviour=args.no_preemptive is False, + ) + + best_guess = matches.best() + + if best_guess is None: + print( + 'Unable to identify originating encoding for "{}". {}'.format( + my_file.name, + ( + "Maybe try increasing maximum amount of chaos." + if args.threshold < 1.0 + else "" + ), + ), + file=sys.stderr, + ) + x_.append( + CliDetectionResult( + abspath(my_file.name), + None, + [], + [], + "Unknown", + [], + False, + 1.0, + 0.0, + None, + True, + ) + ) + else: + x_.append( + CliDetectionResult( + abspath(my_file.name), + best_guess.encoding, + best_guess.encoding_aliases, + [ + cp + for cp in best_guess.could_be_from_charset + if cp != best_guess.encoding + ], + best_guess.language, + best_guess.alphabets, + best_guess.bom, + best_guess.percent_chaos, + best_guess.percent_coherence, + None, + True, + ) + ) + + if len(matches) > 1 and args.alternatives: + for el in matches: + if el != best_guess: + x_.append( + CliDetectionResult( + abspath(my_file.name), + el.encoding, + el.encoding_aliases, + [ + cp + for cp in el.could_be_from_charset + if cp != el.encoding + ], + el.language, + el.alphabets, + el.bom, + el.percent_chaos, + el.percent_coherence, + None, + False, + ) + ) + + if args.normalize is True: + if best_guess.encoding.startswith("utf") is True: + print( + '"{}" file does not need to be normalized, as it already came from unicode.'.format( + my_file.name + ), + file=sys.stderr, + ) + if my_file.closed is False: + my_file.close() + continue + + dir_path = dirname(realpath(my_file.name)) + file_name = basename(realpath(my_file.name)) + + o_: list[str] = file_name.split(".") + + if args.replace is False: + o_.insert(-1, best_guess.encoding) + if my_file.closed is False: + my_file.close() + elif ( + args.force is False + and query_yes_no( + 'Are you sure to normalize "{}" by replacing it ?'.format( + my_file.name + ), + "no", + ) + is False + ): + if my_file.closed is False: + my_file.close() + continue + + try: + x_[0].unicode_path = join(dir_path, ".".join(o_)) + + with open(x_[0].unicode_path, "wb") as fp: + fp.write(best_guess.output()) + except OSError as e: + print(str(e), file=sys.stderr) + if my_file.closed is False: + my_file.close() + return 2 + + if my_file.closed is False: + my_file.close() + + if args.minimal is False: + print( + dumps( + [el.__dict__ for el in x_] if len(x_) > 1 else x_[0].__dict__, + ensure_ascii=True, + indent=4, + ) + ) + else: + for my_file in args.files: + print( + ", ".join( + [ + el.encoding or "undefined" + for el in x_ + if el.path == abspath(my_file.name) + ] + ) + ) + + return 0 + + +if __name__ == "__main__": + cli_detect() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/constant.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/constant.py new file mode 100644 index 0000000000000000000000000000000000000000..cc71a019c7fdd7b99c7fdd5b6bb084ab2840ff63 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/constant.py @@ -0,0 +1,2015 @@ +from __future__ import annotations + +from codecs import BOM_UTF8, BOM_UTF16_BE, BOM_UTF16_LE, BOM_UTF32_BE, BOM_UTF32_LE +from encodings.aliases import aliases +from re import IGNORECASE +from re import compile as re_compile + +# Contain for each eligible encoding a list of/item bytes SIG/BOM +ENCODING_MARKS: dict[str, bytes | list[bytes]] = { + "utf_8": BOM_UTF8, + "utf_7": [ + b"\x2b\x2f\x76\x38", + b"\x2b\x2f\x76\x39", + b"\x2b\x2f\x76\x2b", + b"\x2b\x2f\x76\x2f", + b"\x2b\x2f\x76\x38\x2d", + ], + "gb18030": b"\x84\x31\x95\x33", + "utf_32": [BOM_UTF32_BE, BOM_UTF32_LE], + "utf_16": [BOM_UTF16_BE, BOM_UTF16_LE], +} + +TOO_SMALL_SEQUENCE: int = 32 +TOO_BIG_SEQUENCE: int = int(10e6) + +UTF8_MAXIMAL_ALLOCATION: int = 1_112_064 + +# Up-to-date Unicode ucd/15.0.0 +UNICODE_RANGES_COMBINED: dict[str, range] = { + "Control character": range(32), + "Basic Latin": range(32, 128), + "Latin-1 Supplement": range(128, 256), + "Latin Extended-A": range(256, 384), + "Latin Extended-B": range(384, 592), + "IPA Extensions": range(592, 688), + "Spacing Modifier Letters": range(688, 768), + "Combining Diacritical Marks": range(768, 880), + "Greek and Coptic": range(880, 1024), + "Cyrillic": range(1024, 1280), + "Cyrillic Supplement": range(1280, 1328), + "Armenian": range(1328, 1424), + "Hebrew": range(1424, 1536), + "Arabic": range(1536, 1792), + "Syriac": range(1792, 1872), + "Arabic Supplement": range(1872, 1920), + "Thaana": range(1920, 1984), + "NKo": range(1984, 2048), + "Samaritan": range(2048, 2112), + "Mandaic": range(2112, 2144), + "Syriac Supplement": range(2144, 2160), + "Arabic Extended-B": range(2160, 2208), + "Arabic Extended-A": range(2208, 2304), + "Devanagari": range(2304, 2432), + "Bengali": range(2432, 2560), + "Gurmukhi": range(2560, 2688), + "Gujarati": range(2688, 2816), + "Oriya": range(2816, 2944), + "Tamil": range(2944, 3072), + "Telugu": range(3072, 3200), + "Kannada": range(3200, 3328), + "Malayalam": range(3328, 3456), + "Sinhala": range(3456, 3584), + "Thai": range(3584, 3712), + "Lao": range(3712, 3840), + "Tibetan": range(3840, 4096), + "Myanmar": range(4096, 4256), + "Georgian": range(4256, 4352), + "Hangul Jamo": range(4352, 4608), + "Ethiopic": range(4608, 4992), + "Ethiopic Supplement": range(4992, 5024), + "Cherokee": range(5024, 5120), + "Unified Canadian Aboriginal Syllabics": range(5120, 5760), + "Ogham": range(5760, 5792), + "Runic": range(5792, 5888), + "Tagalog": range(5888, 5920), + "Hanunoo": range(5920, 5952), + "Buhid": range(5952, 5984), + "Tagbanwa": range(5984, 6016), + "Khmer": range(6016, 6144), + "Mongolian": range(6144, 6320), + "Unified Canadian Aboriginal Syllabics Extended": range(6320, 6400), + "Limbu": range(6400, 6480), + "Tai Le": range(6480, 6528), + "New Tai Lue": range(6528, 6624), + "Khmer Symbols": range(6624, 6656), + "Buginese": range(6656, 6688), + "Tai Tham": range(6688, 6832), + "Combining Diacritical Marks Extended": range(6832, 6912), + "Balinese": range(6912, 7040), + "Sundanese": range(7040, 7104), + "Batak": range(7104, 7168), + "Lepcha": range(7168, 7248), + "Ol Chiki": range(7248, 7296), + "Cyrillic Extended-C": range(7296, 7312), + "Georgian Extended": range(7312, 7360), + "Sundanese Supplement": range(7360, 7376), + "Vedic Extensions": range(7376, 7424), + "Phonetic Extensions": range(7424, 7552), + "Phonetic Extensions Supplement": range(7552, 7616), + "Combining Diacritical Marks Supplement": range(7616, 7680), + "Latin Extended Additional": range(7680, 7936), + "Greek Extended": range(7936, 8192), + "General Punctuation": range(8192, 8304), + "Superscripts and Subscripts": range(8304, 8352), + "Currency Symbols": range(8352, 8400), + "Combining Diacritical Marks for Symbols": range(8400, 8448), + "Letterlike Symbols": range(8448, 8528), + "Number Forms": range(8528, 8592), + "Arrows": range(8592, 8704), + "Mathematical Operators": range(8704, 8960), + "Miscellaneous Technical": range(8960, 9216), + "Control Pictures": range(9216, 9280), + "Optical Character Recognition": range(9280, 9312), + "Enclosed Alphanumerics": range(9312, 9472), + "Box Drawing": range(9472, 9600), + "Block Elements": range(9600, 9632), + "Geometric Shapes": range(9632, 9728), + "Miscellaneous Symbols": range(9728, 9984), + "Dingbats": range(9984, 10176), + "Miscellaneous Mathematical Symbols-A": range(10176, 10224), + "Supplemental Arrows-A": range(10224, 10240), + "Braille Patterns": range(10240, 10496), + "Supplemental Arrows-B": range(10496, 10624), + "Miscellaneous Mathematical Symbols-B": range(10624, 10752), + "Supplemental Mathematical Operators": range(10752, 11008), + "Miscellaneous Symbols and Arrows": range(11008, 11264), + "Glagolitic": range(11264, 11360), + "Latin Extended-C": range(11360, 11392), + "Coptic": range(11392, 11520), + "Georgian Supplement": range(11520, 11568), + "Tifinagh": range(11568, 11648), + "Ethiopic Extended": range(11648, 11744), + "Cyrillic Extended-A": range(11744, 11776), + "Supplemental Punctuation": range(11776, 11904), + "CJK Radicals Supplement": range(11904, 12032), + "Kangxi Radicals": range(12032, 12256), + "Ideographic Description Characters": range(12272, 12288), + "CJK Symbols and Punctuation": range(12288, 12352), + "Hiragana": range(12352, 12448), + "Katakana": range(12448, 12544), + "Bopomofo": range(12544, 12592), + "Hangul Compatibility Jamo": range(12592, 12688), + "Kanbun": range(12688, 12704), + "Bopomofo Extended": range(12704, 12736), + "CJK Strokes": range(12736, 12784), + "Katakana Phonetic Extensions": range(12784, 12800), + "Enclosed CJK Letters and Months": range(12800, 13056), + "CJK Compatibility": range(13056, 13312), + "CJK Unified Ideographs Extension A": range(13312, 19904), + "Yijing Hexagram Symbols": range(19904, 19968), + "CJK Unified Ideographs": range(19968, 40960), + "Yi Syllables": range(40960, 42128), + "Yi Radicals": range(42128, 42192), + "Lisu": range(42192, 42240), + "Vai": range(42240, 42560), + "Cyrillic Extended-B": range(42560, 42656), + "Bamum": range(42656, 42752), + "Modifier Tone Letters": range(42752, 42784), + "Latin Extended-D": range(42784, 43008), + "Syloti Nagri": range(43008, 43056), + "Common Indic Number Forms": range(43056, 43072), + "Phags-pa": range(43072, 43136), + "Saurashtra": range(43136, 43232), + "Devanagari Extended": range(43232, 43264), + "Kayah Li": range(43264, 43312), + "Rejang": range(43312, 43360), + "Hangul Jamo Extended-A": range(43360, 43392), + "Javanese": range(43392, 43488), + "Myanmar Extended-B": range(43488, 43520), + "Cham": range(43520, 43616), + "Myanmar Extended-A": range(43616, 43648), + "Tai Viet": range(43648, 43744), + "Meetei Mayek Extensions": range(43744, 43776), + "Ethiopic Extended-A": range(43776, 43824), + "Latin Extended-E": range(43824, 43888), + "Cherokee Supplement": range(43888, 43968), + "Meetei Mayek": range(43968, 44032), + "Hangul Syllables": range(44032, 55216), + "Hangul Jamo Extended-B": range(55216, 55296), + "High Surrogates": range(55296, 56192), + "High Private Use Surrogates": range(56192, 56320), + "Low Surrogates": range(56320, 57344), + "Private Use Area": range(57344, 63744), + "CJK Compatibility Ideographs": range(63744, 64256), + "Alphabetic Presentation Forms": range(64256, 64336), + "Arabic Presentation Forms-A": range(64336, 65024), + "Variation Selectors": range(65024, 65040), + "Vertical Forms": range(65040, 65056), + "Combining Half Marks": range(65056, 65072), + "CJK Compatibility Forms": range(65072, 65104), + "Small Form Variants": range(65104, 65136), + "Arabic Presentation Forms-B": range(65136, 65280), + "Halfwidth and Fullwidth Forms": range(65280, 65520), + "Specials": range(65520, 65536), + "Linear B Syllabary": range(65536, 65664), + "Linear B Ideograms": range(65664, 65792), + "Aegean Numbers": range(65792, 65856), + "Ancient Greek Numbers": range(65856, 65936), + "Ancient Symbols": range(65936, 66000), + "Phaistos Disc": range(66000, 66048), + "Lycian": range(66176, 66208), + "Carian": range(66208, 66272), + "Coptic Epact Numbers": range(66272, 66304), + "Old Italic": range(66304, 66352), + "Gothic": range(66352, 66384), + "Old Permic": range(66384, 66432), + "Ugaritic": range(66432, 66464), + "Old Persian": range(66464, 66528), + "Deseret": range(66560, 66640), + "Shavian": range(66640, 66688), + "Osmanya": range(66688, 66736), + "Osage": range(66736, 66816), + "Elbasan": range(66816, 66864), + "Caucasian Albanian": range(66864, 66928), + "Vithkuqi": range(66928, 67008), + "Linear A": range(67072, 67456), + "Latin Extended-F": range(67456, 67520), + "Cypriot Syllabary": range(67584, 67648), + "Imperial Aramaic": range(67648, 67680), + "Palmyrene": range(67680, 67712), + "Nabataean": range(67712, 67760), + "Hatran": range(67808, 67840), + "Phoenician": range(67840, 67872), + "Lydian": range(67872, 67904), + "Meroitic Hieroglyphs": range(67968, 68000), + "Meroitic Cursive": range(68000, 68096), + "Kharoshthi": range(68096, 68192), + "Old South Arabian": range(68192, 68224), + "Old North Arabian": range(68224, 68256), + "Manichaean": range(68288, 68352), + "Avestan": range(68352, 68416), + "Inscriptional Parthian": range(68416, 68448), + "Inscriptional Pahlavi": range(68448, 68480), + "Psalter Pahlavi": range(68480, 68528), + "Old Turkic": range(68608, 68688), + "Old Hungarian": range(68736, 68864), + "Hanifi Rohingya": range(68864, 68928), + "Rumi Numeral Symbols": range(69216, 69248), + "Yezidi": range(69248, 69312), + "Arabic Extended-C": range(69312, 69376), + "Old Sogdian": range(69376, 69424), + "Sogdian": range(69424, 69488), + "Old Uyghur": range(69488, 69552), + "Chorasmian": range(69552, 69600), + "Elymaic": range(69600, 69632), + "Brahmi": range(69632, 69760), + "Kaithi": range(69760, 69840), + "Sora Sompeng": range(69840, 69888), + "Chakma": range(69888, 69968), + "Mahajani": range(69968, 70016), + "Sharada": range(70016, 70112), + "Sinhala Archaic Numbers": range(70112, 70144), + "Khojki": range(70144, 70224), + "Multani": range(70272, 70320), + "Khudawadi": range(70320, 70400), + "Grantha": range(70400, 70528), + "Newa": range(70656, 70784), + "Tirhuta": range(70784, 70880), + "Siddham": range(71040, 71168), + "Modi": range(71168, 71264), + "Mongolian Supplement": range(71264, 71296), + "Takri": range(71296, 71376), + "Ahom": range(71424, 71504), + "Dogra": range(71680, 71760), + "Warang Citi": range(71840, 71936), + "Dives Akuru": range(71936, 72032), + "Nandinagari": range(72096, 72192), + "Zanabazar Square": range(72192, 72272), + "Soyombo": range(72272, 72368), + "Unified Canadian Aboriginal Syllabics Extended-A": range(72368, 72384), + "Pau Cin Hau": range(72384, 72448), + "Devanagari Extended-A": range(72448, 72544), + "Bhaiksuki": range(72704, 72816), + "Marchen": range(72816, 72896), + "Masaram Gondi": range(72960, 73056), + "Gunjala Gondi": range(73056, 73136), + "Makasar": range(73440, 73472), + "Kawi": range(73472, 73568), + "Lisu Supplement": range(73648, 73664), + "Tamil Supplement": range(73664, 73728), + "Cuneiform": range(73728, 74752), + "Cuneiform Numbers and Punctuation": range(74752, 74880), + "Early Dynastic Cuneiform": range(74880, 75088), + "Cypro-Minoan": range(77712, 77824), + "Egyptian Hieroglyphs": range(77824, 78896), + "Egyptian Hieroglyph Format Controls": range(78896, 78944), + "Anatolian Hieroglyphs": range(82944, 83584), + "Bamum Supplement": range(92160, 92736), + "Mro": range(92736, 92784), + "Tangsa": range(92784, 92880), + "Bassa Vah": range(92880, 92928), + "Pahawh Hmong": range(92928, 93072), + "Medefaidrin": range(93760, 93856), + "Miao": range(93952, 94112), + "Ideographic Symbols and Punctuation": range(94176, 94208), + "Tangut": range(94208, 100352), + "Tangut Components": range(100352, 101120), + "Khitan Small Script": range(101120, 101632), + "Tangut Supplement": range(101632, 101760), + "Kana Extended-B": range(110576, 110592), + "Kana Supplement": range(110592, 110848), + "Kana Extended-A": range(110848, 110896), + "Small Kana Extension": range(110896, 110960), + "Nushu": range(110960, 111360), + "Duployan": range(113664, 113824), + "Shorthand Format Controls": range(113824, 113840), + "Znamenny Musical Notation": range(118528, 118736), + "Byzantine Musical Symbols": range(118784, 119040), + "Musical Symbols": range(119040, 119296), + "Ancient Greek Musical Notation": range(119296, 119376), + "Kaktovik Numerals": range(119488, 119520), + "Mayan Numerals": range(119520, 119552), + "Tai Xuan Jing Symbols": range(119552, 119648), + "Counting Rod Numerals": range(119648, 119680), + "Mathematical Alphanumeric Symbols": range(119808, 120832), + "Sutton SignWriting": range(120832, 121520), + "Latin Extended-G": range(122624, 122880), + "Glagolitic Supplement": range(122880, 122928), + "Cyrillic Extended-D": range(122928, 123024), + "Nyiakeng Puachue Hmong": range(123136, 123216), + "Toto": range(123536, 123584), + "Wancho": range(123584, 123648), + "Nag Mundari": range(124112, 124160), + "Ethiopic Extended-B": range(124896, 124928), + "Mende Kikakui": range(124928, 125152), + "Adlam": range(125184, 125280), + "Indic Siyaq Numbers": range(126064, 126144), + "Ottoman Siyaq Numbers": range(126208, 126288), + "Arabic Mathematical Alphabetic Symbols": range(126464, 126720), + "Mahjong Tiles": range(126976, 127024), + "Domino Tiles": range(127024, 127136), + "Playing Cards": range(127136, 127232), + "Enclosed Alphanumeric Supplement": range(127232, 127488), + "Enclosed Ideographic Supplement": range(127488, 127744), + "Miscellaneous Symbols and Pictographs": range(127744, 128512), + "Emoticons range(Emoji)": range(128512, 128592), + "Ornamental Dingbats": range(128592, 128640), + "Transport and Map Symbols": range(128640, 128768), + "Alchemical Symbols": range(128768, 128896), + "Geometric Shapes Extended": range(128896, 129024), + "Supplemental Arrows-C": range(129024, 129280), + "Supplemental Symbols and Pictographs": range(129280, 129536), + "Chess Symbols": range(129536, 129648), + "Symbols and Pictographs Extended-A": range(129648, 129792), + "Symbols for Legacy Computing": range(129792, 130048), + "CJK Unified Ideographs Extension B": range(131072, 173792), + "CJK Unified Ideographs Extension C": range(173824, 177984), + "CJK Unified Ideographs Extension D": range(177984, 178208), + "CJK Unified Ideographs Extension E": range(178208, 183984), + "CJK Unified Ideographs Extension F": range(183984, 191472), + "CJK Compatibility Ideographs Supplement": range(194560, 195104), + "CJK Unified Ideographs Extension G": range(196608, 201552), + "CJK Unified Ideographs Extension H": range(201552, 205744), + "Tags": range(917504, 917632), + "Variation Selectors Supplement": range(917760, 918000), + "Supplementary Private Use Area-A": range(983040, 1048576), + "Supplementary Private Use Area-B": range(1048576, 1114112), +} + + +UNICODE_SECONDARY_RANGE_KEYWORD: list[str] = [ + "Supplement", + "Extended", + "Extensions", + "Modifier", + "Marks", + "Punctuation", + "Symbols", + "Forms", + "Operators", + "Miscellaneous", + "Drawing", + "Block", + "Shapes", + "Supplemental", + "Tags", +] + +RE_POSSIBLE_ENCODING_INDICATION = re_compile( + r"(?:(?:encoding)|(?:charset)|(?:coding))(?:[\:= ]{1,10})(?:[\"\']?)([a-zA-Z0-9\-_]+)(?:[\"\']?)", + IGNORECASE, +) + +IANA_NO_ALIASES = [ + "cp720", + "cp737", + "cp856", + "cp874", + "cp875", + "cp1006", + "koi8_r", + "koi8_t", + "koi8_u", +] + +IANA_SUPPORTED: list[str] = sorted( + filter( + lambda x: x.endswith("_codec") is False + and x not in {"rot_13", "tactis", "mbcs"}, + list(set(aliases.values())) + IANA_NO_ALIASES, + ) +) + +IANA_SUPPORTED_COUNT: int = len(IANA_SUPPORTED) + +# pre-computed code page that are similar using the function cp_similarity. +IANA_SUPPORTED_SIMILAR: dict[str, list[str]] = { + "cp037": ["cp1026", "cp1140", "cp273", "cp500"], + "cp1026": ["cp037", "cp1140", "cp273", "cp500"], + "cp1125": ["cp866"], + "cp1140": ["cp037", "cp1026", "cp273", "cp500"], + "cp1250": ["iso8859_2"], + "cp1251": ["kz1048", "ptcp154"], + "cp1252": ["iso8859_15", "iso8859_9", "latin_1"], + "cp1253": ["iso8859_7"], + "cp1254": ["iso8859_15", "iso8859_9", "latin_1"], + "cp1257": ["iso8859_13"], + "cp273": ["cp037", "cp1026", "cp1140", "cp500"], + "cp437": ["cp850", "cp858", "cp860", "cp861", "cp862", "cp863", "cp865"], + "cp500": ["cp037", "cp1026", "cp1140", "cp273"], + "cp850": ["cp437", "cp857", "cp858", "cp865"], + "cp857": ["cp850", "cp858", "cp865"], + "cp858": ["cp437", "cp850", "cp857", "cp865"], + "cp860": ["cp437", "cp861", "cp862", "cp863", "cp865"], + "cp861": ["cp437", "cp860", "cp862", "cp863", "cp865"], + "cp862": ["cp437", "cp860", "cp861", "cp863", "cp865"], + "cp863": ["cp437", "cp860", "cp861", "cp862", "cp865"], + "cp865": ["cp437", "cp850", "cp857", "cp858", "cp860", "cp861", "cp862", "cp863"], + "cp866": ["cp1125"], + "iso8859_10": ["iso8859_14", "iso8859_15", "iso8859_4", "iso8859_9", "latin_1"], + "iso8859_11": ["tis_620"], + "iso8859_13": ["cp1257"], + "iso8859_14": [ + "iso8859_10", + "iso8859_15", + "iso8859_16", + "iso8859_3", + "iso8859_9", + "latin_1", + ], + "iso8859_15": [ + "cp1252", + "cp1254", + "iso8859_10", + "iso8859_14", + "iso8859_16", + "iso8859_3", + "iso8859_9", + "latin_1", + ], + "iso8859_16": [ + "iso8859_14", + "iso8859_15", + "iso8859_2", + "iso8859_3", + "iso8859_9", + "latin_1", + ], + "iso8859_2": ["cp1250", "iso8859_16", "iso8859_4"], + "iso8859_3": ["iso8859_14", "iso8859_15", "iso8859_16", "iso8859_9", "latin_1"], + "iso8859_4": ["iso8859_10", "iso8859_2", "iso8859_9", "latin_1"], + "iso8859_7": ["cp1253"], + "iso8859_9": [ + "cp1252", + "cp1254", + "cp1258", + "iso8859_10", + "iso8859_14", + "iso8859_15", + "iso8859_16", + "iso8859_3", + "iso8859_4", + "latin_1", + ], + "kz1048": ["cp1251", "ptcp154"], + "latin_1": [ + "cp1252", + "cp1254", + "cp1258", + "iso8859_10", + "iso8859_14", + "iso8859_15", + "iso8859_16", + "iso8859_3", + "iso8859_4", + "iso8859_9", + ], + "mac_iceland": ["mac_roman", "mac_turkish"], + "mac_roman": ["mac_iceland", "mac_turkish"], + "mac_turkish": ["mac_iceland", "mac_roman"], + "ptcp154": ["cp1251", "kz1048"], + "tis_620": ["iso8859_11"], +} + + +CHARDET_CORRESPONDENCE: dict[str, str] = { + "iso2022_kr": "ISO-2022-KR", + "iso2022_jp": "ISO-2022-JP", + "euc_kr": "EUC-KR", + "tis_620": "TIS-620", + "utf_32": "UTF-32", + "euc_jp": "EUC-JP", + "koi8_r": "KOI8-R", + "iso8859_1": "ISO-8859-1", + "iso8859_2": "ISO-8859-2", + "iso8859_5": "ISO-8859-5", + "iso8859_6": "ISO-8859-6", + "iso8859_7": "ISO-8859-7", + "iso8859_8": "ISO-8859-8", + "utf_16": "UTF-16", + "cp855": "IBM855", + "mac_cyrillic": "MacCyrillic", + "gb2312": "GB2312", + "gb18030": "GB18030", + "cp932": "CP932", + "cp866": "IBM866", + "utf_8": "utf-8", + "utf_8_sig": "UTF-8-SIG", + "shift_jis": "SHIFT_JIS", + "big5": "Big5", + "cp1250": "windows-1250", + "cp1251": "windows-1251", + "cp1252": "Windows-1252", + "cp1253": "windows-1253", + "cp1255": "windows-1255", + "cp1256": "windows-1256", + "cp1254": "Windows-1254", + "cp949": "CP949", +} + + +COMMON_SAFE_ASCII_CHARACTERS: set[str] = { + "<", + ">", + "=", + ":", + "/", + "&", + ";", + "{", + "}", + "[", + "]", + ",", + "|", + '"', + "-", + "(", + ")", +} + +# Sample character sets — replace with full lists if needed +COMMON_CHINESE_CHARACTERS = "的一是在不了有和人这中大为上个国我以要他时来用们生到作地于出就分对成会可主发年动同工也能下过子说产种面而方后多定行学法所民得经十三之进着等部度家电力里如水化高自二理起小物现实加量都两体制机当使点从业本去把性好应开它合还因由其些然前外天政四日那社义事平形相全表间样与关各重新线内数正心反你明看原又么利比或但质气第向道命此变条只没结解问意建月公无系军很情者最立代想已通并提直题党程展五果料象员革位入常文总次品式活设及管特件长求老头基资边流路级少图山统接知较将组见计别她手角期根论运农指几九区强放决西被干做必战先回则任取据处队南给色光门即保治北造百规热领七海口东导器压志世金增争济阶油思术极交受联什认六共权收证改清己美再采转更单风切打白教速花带安场身车例真务具万每目至达走积示议声报斗完类八离华名确才科张信马节话米整空元况今集温传土许步群广石记需段研界拉林律叫且究观越织装影算低持音众书布复容儿须际商非验连断深难近矿千周委素技备半办青省列习响约支般史感劳便团往酸历市克何除消构府太准精值号率族维划选标写存候毛亲快效斯院查江型眼王按格养易置派层片始却专状育厂京识适属圆包火住调满县局照参红细引听该铁价严龙飞" + +COMMON_JAPANESE_CHARACTERS = "日一国年大十二本中長出三時行見月分後前生五間上東四今金九入学高円子外八六下来気小七山話女北午百書先名川千水半男西電校語土木聞食車何南万毎白天母火右読友左休父雨" + +COMMON_KOREAN_CHARACTERS = "一二三四五六七八九十百千萬上下左右中人女子大小山川日月火水木金土父母天地國名年時文校學生" + +# Combine all into a set +COMMON_CJK_CHARACTERS = set( + "".join( + [ + COMMON_CHINESE_CHARACTERS, + COMMON_JAPANESE_CHARACTERS, + COMMON_KOREAN_CHARACTERS, + ] + ) +) + +KO_NAMES: set[str] = {"johab", "cp949", "euc_kr"} +ZH_NAMES: set[str] = {"big5", "cp950", "big5hkscs", "hz"} + +# Logging LEVEL below DEBUG +TRACE: int = 5 + + +# Language label that contain the em dash "—" +# character are to be considered alternative seq to origin +FREQUENCIES: dict[str, list[str]] = { + "English": [ + "e", + "a", + "t", + "i", + "o", + "n", + "s", + "r", + "h", + "l", + "d", + "c", + "u", + "m", + "f", + "p", + "g", + "w", + "y", + "b", + "v", + "k", + "x", + "j", + "z", + "q", + ], + "English—": [ + "e", + "a", + "t", + "i", + "o", + "n", + "s", + "r", + "h", + "l", + "d", + "c", + "m", + "u", + "f", + "p", + "g", + "w", + "b", + "y", + "v", + "k", + "j", + "x", + "z", + "q", + ], + "German": [ + "e", + "n", + "i", + "r", + "s", + "t", + "a", + "d", + "h", + "u", + "l", + "g", + "o", + "c", + "m", + "b", + "f", + "k", + "w", + "z", + "p", + "v", + "ü", + "ä", + "ö", + "j", + ], + "French": [ + "e", + "a", + "s", + "n", + "i", + "t", + "r", + "l", + "u", + "o", + "d", + "c", + "p", + "m", + "é", + "v", + "g", + "f", + "b", + "h", + "q", + "à", + "x", + "è", + "y", + "j", + ], + "Dutch": [ + "e", + "n", + "a", + "i", + "r", + "t", + "o", + "d", + "s", + "l", + "g", + "h", + "v", + "m", + "u", + "k", + "c", + "p", + "b", + "w", + "j", + "z", + "f", + "y", + "x", + "ë", + ], + "Italian": [ + "e", + "i", + "a", + "o", + "n", + "l", + "t", + "r", + "s", + "c", + "d", + "u", + "p", + "m", + "g", + "v", + "f", + "b", + "z", + "h", + "q", + "è", + "à", + "k", + "y", + "ò", + ], + "Polish": [ + "a", + "i", + "o", + "e", + "n", + "r", + "z", + "w", + "s", + "c", + "t", + "k", + "y", + "d", + "p", + "m", + "u", + "l", + "j", + "ł", + "g", + "b", + "h", + "ą", + "ę", + "ó", + ], + "Spanish": [ + "e", + "a", + "o", + "n", + "s", + "r", + "i", + "l", + "d", + "t", + "c", + "u", + "m", + "p", + "b", + "g", + "v", + "f", + "y", + "ó", + "h", + "q", + "í", + "j", + "z", + "á", + ], + "Russian": [ + "о", + "а", + "е", + "и", + "н", + "с", + "т", + "р", + "в", + "л", + "к", + "м", + "д", + "п", + "у", + "г", + "я", + "ы", + "з", + "б", + "й", + "ь", + "ч", + "х", + "ж", + "ц", + ], + # Jap-Kanji + "Japanese": [ + "人", + "一", + "大", + "亅", + "丁", + "丨", + "竹", + "笑", + "口", + "日", + "今", + "二", + "彳", + "行", + "十", + "土", + "丶", + "寸", + "寺", + "時", + "乙", + "丿", + "乂", + "气", + "気", + "冂", + "巾", + "亠", + "市", + "目", + "儿", + "見", + "八", + "小", + "凵", + "県", + "月", + "彐", + "門", + "間", + "木", + "東", + "山", + "出", + "本", + "中", + "刀", + "分", + "耳", + "又", + "取", + "最", + "言", + "田", + "心", + "思", + "刂", + "前", + "京", + "尹", + "事", + "生", + "厶", + "云", + "会", + "未", + "来", + "白", + "冫", + "楽", + "灬", + "馬", + "尸", + "尺", + "駅", + "明", + "耂", + "者", + "了", + "阝", + "都", + "高", + "卜", + "占", + "厂", + "广", + "店", + "子", + "申", + "奄", + "亻", + "俺", + "上", + "方", + "冖", + "学", + "衣", + "艮", + "食", + "自", + ], + # Jap-Katakana + "Japanese—": [ + "ー", + "ン", + "ス", + "・", + "ル", + "ト", + "リ", + "イ", + "ア", + "ラ", + "ッ", + "ク", + "ド", + "シ", + "レ", + "ジ", + "タ", + "フ", + "ロ", + "カ", + "テ", + "マ", + "ィ", + "グ", + "バ", + "ム", + "プ", + "オ", + "コ", + "デ", + "ニ", + "ウ", + "メ", + "サ", + "ビ", + "ナ", + "ブ", + "ャ", + "エ", + "ュ", + "チ", + "キ", + "ズ", + "ダ", + "パ", + "ミ", + "ェ", + "ョ", + "ハ", + "セ", + "ベ", + "ガ", + "モ", + "ツ", + "ネ", + "ボ", + "ソ", + "ノ", + "ァ", + "ヴ", + "ワ", + "ポ", + "ペ", + "ピ", + "ケ", + "ゴ", + "ギ", + "ザ", + "ホ", + "ゲ", + "ォ", + "ヤ", + "ヒ", + "ユ", + "ヨ", + "ヘ", + "ゼ", + "ヌ", + "ゥ", + "ゾ", + "ヶ", + "ヂ", + "ヲ", + "ヅ", + "ヵ", + "ヱ", + "ヰ", + "ヮ", + "ヽ", + "゠", + "ヾ", + "ヷ", + "ヿ", + "ヸ", + "ヹ", + "ヺ", + ], + # Jap-Hiragana + "Japanese——": [ + "の", + "に", + "る", + "た", + "と", + "は", + "し", + "い", + "を", + "で", + "て", + "が", + "な", + "れ", + "か", + "ら", + "さ", + "っ", + "り", + "す", + "あ", + "も", + "こ", + "ま", + "う", + "く", + "よ", + "き", + "ん", + "め", + "お", + "け", + "そ", + "つ", + "だ", + "や", + "え", + "ど", + "わ", + "ち", + "み", + "せ", + "じ", + "ば", + "へ", + "び", + "ず", + "ろ", + "ほ", + "げ", + "む", + "べ", + "ひ", + "ょ", + "ゆ", + "ぶ", + "ご", + "ゃ", + "ね", + "ふ", + "ぐ", + "ぎ", + "ぼ", + "ゅ", + "づ", + "ざ", + "ぞ", + "ぬ", + "ぜ", + "ぱ", + "ぽ", + "ぷ", + "ぴ", + "ぃ", + "ぁ", + "ぇ", + "ぺ", + "ゞ", + "ぢ", + "ぉ", + "ぅ", + "ゐ", + "ゝ", + "ゑ", + "゛", + "゜", + "ゎ", + "ゔ", + "゚", + "ゟ", + "゙", + "ゕ", + "ゖ", + ], + "Portuguese": [ + "a", + "e", + "o", + "s", + "i", + "r", + "d", + "n", + "t", + "m", + "u", + "c", + "l", + "p", + "g", + "v", + "b", + "f", + "h", + "ã", + "q", + "é", + "ç", + "á", + "z", + "í", + ], + "Swedish": [ + "e", + "a", + "n", + "r", + "t", + "s", + "i", + "l", + "d", + "o", + "m", + "k", + "g", + "v", + "h", + "f", + "u", + "p", + "ä", + "c", + "b", + "ö", + "å", + "y", + "j", + "x", + ], + "Chinese": [ + "的", + "一", + "是", + "不", + "了", + "在", + "人", + "有", + "我", + "他", + "这", + "个", + "们", + "中", + "来", + "上", + "大", + "为", + "和", + "国", + "地", + "到", + "以", + "说", + "时", + "要", + "就", + "出", + "会", + "可", + "也", + "你", + "对", + "生", + "能", + "而", + "子", + "那", + "得", + "于", + "着", + "下", + "自", + "之", + "年", + "过", + "发", + "后", + "作", + "里", + "用", + "道", + "行", + "所", + "然", + "家", + "种", + "事", + "成", + "方", + "多", + "经", + "么", + "去", + "法", + "学", + "如", + "都", + "同", + "现", + "当", + "没", + "动", + "面", + "起", + "看", + "定", + "天", + "分", + "还", + "进", + "好", + "小", + "部", + "其", + "些", + "主", + "样", + "理", + "心", + "她", + "本", + "前", + "开", + "但", + "因", + "只", + "从", + "想", + "实", + ], + "Ukrainian": [ + "о", + "а", + "н", + "і", + "и", + "р", + "в", + "т", + "е", + "с", + "к", + "л", + "у", + "д", + "м", + "п", + "з", + "я", + "ь", + "б", + "г", + "й", + "ч", + "х", + "ц", + "ї", + ], + "Norwegian": [ + "e", + "r", + "n", + "t", + "a", + "s", + "i", + "o", + "l", + "d", + "g", + "k", + "m", + "v", + "f", + "p", + "u", + "b", + "h", + "å", + "y", + "j", + "ø", + "c", + "æ", + "w", + ], + "Finnish": [ + "a", + "i", + "n", + "t", + "e", + "s", + "l", + "o", + "u", + "k", + "ä", + "m", + "r", + "v", + "j", + "h", + "p", + "y", + "d", + "ö", + "g", + "c", + "b", + "f", + "w", + "z", + ], + "Vietnamese": [ + "n", + "h", + "t", + "i", + "c", + "g", + "a", + "o", + "u", + "m", + "l", + "r", + "à", + "đ", + "s", + "e", + "v", + "p", + "b", + "y", + "ư", + "d", + "á", + "k", + "ộ", + "ế", + ], + "Czech": [ + "o", + "e", + "a", + "n", + "t", + "s", + "i", + "l", + "v", + "r", + "k", + "d", + "u", + "m", + "p", + "í", + "c", + "h", + "z", + "á", + "y", + "j", + "b", + "ě", + "é", + "ř", + ], + "Hungarian": [ + "e", + "a", + "t", + "l", + "s", + "n", + "k", + "r", + "i", + "o", + "z", + "á", + "é", + "g", + "m", + "b", + "y", + "v", + "d", + "h", + "u", + "p", + "j", + "ö", + "f", + "c", + ], + "Korean": [ + "이", + "다", + "에", + "의", + "는", + "로", + "하", + "을", + "가", + "고", + "지", + "서", + "한", + "은", + "기", + "으", + "년", + "대", + "사", + "시", + "를", + "리", + "도", + "인", + "스", + "일", + ], + "Indonesian": [ + "a", + "n", + "e", + "i", + "r", + "t", + "u", + "s", + "d", + "k", + "m", + "l", + "g", + "p", + "b", + "o", + "h", + "y", + "j", + "c", + "w", + "f", + "v", + "z", + "x", + "q", + ], + "Turkish": [ + "a", + "e", + "i", + "n", + "r", + "l", + "ı", + "k", + "d", + "t", + "s", + "m", + "y", + "u", + "o", + "b", + "ü", + "ş", + "v", + "g", + "z", + "h", + "c", + "p", + "ç", + "ğ", + ], + "Romanian": [ + "e", + "i", + "a", + "r", + "n", + "t", + "u", + "l", + "o", + "c", + "s", + "d", + "p", + "m", + "ă", + "f", + "v", + "î", + "g", + "b", + "ș", + "ț", + "z", + "h", + "â", + "j", + ], + "Farsi": [ + "ا", + "ی", + "ر", + "د", + "ن", + "ه", + "و", + "م", + "ت", + "ب", + "س", + "ل", + "ک", + "ش", + "ز", + "ف", + "گ", + "ع", + "خ", + "ق", + "ج", + "آ", + "پ", + "ح", + "ط", + "ص", + ], + "Arabic": [ + "ا", + "ل", + "ي", + "م", + "و", + "ن", + "ر", + "ت", + "ب", + "ة", + "ع", + "د", + "س", + "ف", + "ه", + "ك", + "ق", + "أ", + "ح", + "ج", + "ش", + "ط", + "ص", + "ى", + "خ", + "إ", + ], + "Danish": [ + "e", + "r", + "n", + "t", + "a", + "i", + "s", + "d", + "l", + "o", + "g", + "m", + "k", + "f", + "v", + "u", + "b", + "h", + "p", + "å", + "y", + "ø", + "æ", + "c", + "j", + "w", + ], + "Serbian": [ + "а", + "и", + "о", + "е", + "н", + "р", + "с", + "у", + "т", + "к", + "ј", + "в", + "д", + "м", + "п", + "л", + "г", + "з", + "б", + "a", + "i", + "e", + "o", + "n", + "ц", + "ш", + ], + "Lithuanian": [ + "i", + "a", + "s", + "o", + "r", + "e", + "t", + "n", + "u", + "k", + "m", + "l", + "p", + "v", + "d", + "j", + "g", + "ė", + "b", + "y", + "ų", + "š", + "ž", + "c", + "ą", + "į", + ], + "Slovene": [ + "e", + "a", + "i", + "o", + "n", + "r", + "s", + "l", + "t", + "j", + "v", + "k", + "d", + "p", + "m", + "u", + "z", + "b", + "g", + "h", + "č", + "c", + "š", + "ž", + "f", + "y", + ], + "Slovak": [ + "o", + "a", + "e", + "n", + "i", + "r", + "v", + "t", + "s", + "l", + "k", + "d", + "m", + "p", + "u", + "c", + "h", + "j", + "b", + "z", + "á", + "y", + "ý", + "í", + "č", + "é", + ], + "Hebrew": [ + "י", + "ו", + "ה", + "ל", + "ר", + "ב", + "ת", + "מ", + "א", + "ש", + "נ", + "ע", + "ם", + "ד", + "ק", + "ח", + "פ", + "ס", + "כ", + "ג", + "ט", + "צ", + "ן", + "ז", + "ך", + ], + "Bulgarian": [ + "а", + "и", + "о", + "е", + "н", + "т", + "р", + "с", + "в", + "л", + "к", + "д", + "п", + "м", + "з", + "г", + "я", + "ъ", + "у", + "б", + "ч", + "ц", + "й", + "ж", + "щ", + "х", + ], + "Croatian": [ + "a", + "i", + "o", + "e", + "n", + "r", + "j", + "s", + "t", + "u", + "k", + "l", + "v", + "d", + "m", + "p", + "g", + "z", + "b", + "c", + "č", + "h", + "š", + "ž", + "ć", + "f", + ], + "Hindi": [ + "क", + "र", + "स", + "न", + "त", + "म", + "ह", + "प", + "य", + "ल", + "व", + "ज", + "द", + "ग", + "ब", + "श", + "ट", + "अ", + "ए", + "थ", + "भ", + "ड", + "च", + "ध", + "ष", + "इ", + ], + "Estonian": [ + "a", + "i", + "e", + "s", + "t", + "l", + "u", + "n", + "o", + "k", + "r", + "d", + "m", + "v", + "g", + "p", + "j", + "h", + "ä", + "b", + "õ", + "ü", + "f", + "c", + "ö", + "y", + ], + "Thai": [ + "า", + "น", + "ร", + "อ", + "ก", + "เ", + "ง", + "ม", + "ย", + "ล", + "ว", + "ด", + "ท", + "ส", + "ต", + "ะ", + "ป", + "บ", + "ค", + "ห", + "แ", + "จ", + "พ", + "ช", + "ข", + "ใ", + ], + "Greek": [ + "α", + "τ", + "ο", + "ι", + "ε", + "ν", + "ρ", + "σ", + "κ", + "η", + "π", + "ς", + "υ", + "μ", + "λ", + "ί", + "ό", + "ά", + "γ", + "έ", + "δ", + "ή", + "ω", + "χ", + "θ", + "ύ", + ], + "Tamil": [ + "க", + "த", + "ப", + "ட", + "ர", + "ம", + "ல", + "ன", + "வ", + "ற", + "ய", + "ள", + "ச", + "ந", + "இ", + "ண", + "அ", + "ஆ", + "ழ", + "ங", + "எ", + "உ", + "ஒ", + "ஸ", + ], + "Kazakh": [ + "а", + "ы", + "е", + "н", + "т", + "р", + "л", + "і", + "д", + "с", + "м", + "қ", + "к", + "о", + "б", + "и", + "у", + "ғ", + "ж", + "ң", + "з", + "ш", + "й", + "п", + "г", + "ө", + ], +} + +LANGUAGE_SUPPORTED_COUNT: int = len(FREQUENCIES) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/legacy.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/legacy.py new file mode 100644 index 0000000000000000000000000000000000000000..360a3107bdce817594db33de158e71d9fe793a3b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/legacy.py @@ -0,0 +1,80 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING, Any +from warnings import warn + +from .api import from_bytes +from .constant import CHARDET_CORRESPONDENCE, TOO_SMALL_SEQUENCE + +# TODO: remove this check when dropping Python 3.7 support +if TYPE_CHECKING: + from typing_extensions import TypedDict + + class ResultDict(TypedDict): + encoding: str | None + language: str + confidence: float | None + + +def detect( + byte_str: bytes, should_rename_legacy: bool = False, **kwargs: Any +) -> ResultDict: + """ + chardet legacy method + Detect the encoding of the given byte string. It should be mostly backward-compatible. + Encoding name will match Chardet own writing whenever possible. (Not on encoding name unsupported by it) + This function is deprecated and should be used to migrate your project easily, consult the documentation for + further information. Not planned for removal. + + :param byte_str: The byte sequence to examine. + :param should_rename_legacy: Should we rename legacy encodings + to their more modern equivalents? + """ + if len(kwargs): + warn( + f"charset-normalizer disregard arguments '{','.join(list(kwargs.keys()))}' in legacy function detect()" + ) + + if not isinstance(byte_str, (bytearray, bytes)): + raise TypeError( # pragma: nocover + f"Expected object of type bytes or bytearray, got: {type(byte_str)}" + ) + + if isinstance(byte_str, bytearray): + byte_str = bytes(byte_str) + + r = from_bytes(byte_str).best() + + encoding = r.encoding if r is not None else None + language = r.language if r is not None and r.language != "Unknown" else "" + confidence = 1.0 - r.chaos if r is not None else None + + # automatically lower confidence + # on small bytes samples. + # https://github.com/jawah/charset_normalizer/issues/391 + if ( + confidence is not None + and confidence >= 0.9 + and encoding + not in { + "utf_8", + "ascii", + } + and r.bom is False # type: ignore[union-attr] + and len(byte_str) < TOO_SMALL_SEQUENCE + ): + confidence -= 0.2 + + # Note: CharsetNormalizer does not return 'UTF-8-SIG' as the sig get stripped in the detection/normalization process + # but chardet does return 'utf-8-sig' and it is a valid codec name. + if r is not None and encoding == "utf_8" and r.bom: + encoding += "_sig" + + if should_rename_legacy is False and encoding in CHARDET_CORRESPONDENCE: + encoding = CHARDET_CORRESPONDENCE[encoding] + + return { + "encoding": encoding, + "language": language, + "confidence": confidence, + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/md.cpython-310-x86_64-linux-gnu.so b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/md.cpython-310-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..f71a5afcc365d22b97b203a2781f515882b92ed1 Binary files /dev/null and b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/md.cpython-310-x86_64-linux-gnu.so differ diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/md.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/md.py new file mode 100644 index 0000000000000000000000000000000000000000..12ce024bd34c7eee369ddf438f5534e855a59839 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/md.py @@ -0,0 +1,635 @@ +from __future__ import annotations + +from functools import lru_cache +from logging import getLogger + +from .constant import ( + COMMON_SAFE_ASCII_CHARACTERS, + TRACE, + UNICODE_SECONDARY_RANGE_KEYWORD, +) +from .utils import ( + is_accentuated, + is_arabic, + is_arabic_isolated_form, + is_case_variable, + is_cjk, + is_emoticon, + is_hangul, + is_hiragana, + is_katakana, + is_latin, + is_punctuation, + is_separator, + is_symbol, + is_thai, + is_unprintable, + remove_accent, + unicode_range, + is_cjk_uncommon, +) + + +class MessDetectorPlugin: + """ + Base abstract class used for mess detection plugins. + All detectors MUST extend and implement given methods. + """ + + def eligible(self, character: str) -> bool: + """ + Determine if given character should be fed in. + """ + raise NotImplementedError # pragma: nocover + + def feed(self, character: str) -> None: + """ + The main routine to be executed upon character. + Insert the logic in witch the text would be considered chaotic. + """ + raise NotImplementedError # pragma: nocover + + def reset(self) -> None: # pragma: no cover + """ + Permit to reset the plugin to the initial state. + """ + raise NotImplementedError + + @property + def ratio(self) -> float: + """ + Compute the chaos ratio based on what your feed() has seen. + Must NOT be lower than 0.; No restriction gt 0. + """ + raise NotImplementedError # pragma: nocover + + +class TooManySymbolOrPunctuationPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._punctuation_count: int = 0 + self._symbol_count: int = 0 + self._character_count: int = 0 + + self._last_printable_char: str | None = None + self._frenzy_symbol_in_word: bool = False + + def eligible(self, character: str) -> bool: + return character.isprintable() + + def feed(self, character: str) -> None: + self._character_count += 1 + + if ( + character != self._last_printable_char + and character not in COMMON_SAFE_ASCII_CHARACTERS + ): + if is_punctuation(character): + self._punctuation_count += 1 + elif ( + character.isdigit() is False + and is_symbol(character) + and is_emoticon(character) is False + ): + self._symbol_count += 2 + + self._last_printable_char = character + + def reset(self) -> None: # Abstract + self._punctuation_count = 0 + self._character_count = 0 + self._symbol_count = 0 + + @property + def ratio(self) -> float: + if self._character_count == 0: + return 0.0 + + ratio_of_punctuation: float = ( + self._punctuation_count + self._symbol_count + ) / self._character_count + + return ratio_of_punctuation if ratio_of_punctuation >= 0.3 else 0.0 + + +class TooManyAccentuatedPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._character_count: int = 0 + self._accentuated_count: int = 0 + + def eligible(self, character: str) -> bool: + return character.isalpha() + + def feed(self, character: str) -> None: + self._character_count += 1 + + if is_accentuated(character): + self._accentuated_count += 1 + + def reset(self) -> None: # Abstract + self._character_count = 0 + self._accentuated_count = 0 + + @property + def ratio(self) -> float: + if self._character_count < 8: + return 0.0 + + ratio_of_accentuation: float = self._accentuated_count / self._character_count + return ratio_of_accentuation if ratio_of_accentuation >= 0.35 else 0.0 + + +class UnprintablePlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._unprintable_count: int = 0 + self._character_count: int = 0 + + def eligible(self, character: str) -> bool: + return True + + def feed(self, character: str) -> None: + if is_unprintable(character): + self._unprintable_count += 1 + self._character_count += 1 + + def reset(self) -> None: # Abstract + self._unprintable_count = 0 + + @property + def ratio(self) -> float: + if self._character_count == 0: + return 0.0 + + return (self._unprintable_count * 8) / self._character_count + + +class SuspiciousDuplicateAccentPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._successive_count: int = 0 + self._character_count: int = 0 + + self._last_latin_character: str | None = None + + def eligible(self, character: str) -> bool: + return character.isalpha() and is_latin(character) + + def feed(self, character: str) -> None: + self._character_count += 1 + if ( + self._last_latin_character is not None + and is_accentuated(character) + and is_accentuated(self._last_latin_character) + ): + if character.isupper() and self._last_latin_character.isupper(): + self._successive_count += 1 + # Worse if its the same char duplicated with different accent. + if remove_accent(character) == remove_accent(self._last_latin_character): + self._successive_count += 1 + self._last_latin_character = character + + def reset(self) -> None: # Abstract + self._successive_count = 0 + self._character_count = 0 + self._last_latin_character = None + + @property + def ratio(self) -> float: + if self._character_count == 0: + return 0.0 + + return (self._successive_count * 2) / self._character_count + + +class SuspiciousRange(MessDetectorPlugin): + def __init__(self) -> None: + self._suspicious_successive_range_count: int = 0 + self._character_count: int = 0 + self._last_printable_seen: str | None = None + + def eligible(self, character: str) -> bool: + return character.isprintable() + + def feed(self, character: str) -> None: + self._character_count += 1 + + if ( + character.isspace() + or is_punctuation(character) + or character in COMMON_SAFE_ASCII_CHARACTERS + ): + self._last_printable_seen = None + return + + if self._last_printable_seen is None: + self._last_printable_seen = character + return + + unicode_range_a: str | None = unicode_range(self._last_printable_seen) + unicode_range_b: str | None = unicode_range(character) + + if is_suspiciously_successive_range(unicode_range_a, unicode_range_b): + self._suspicious_successive_range_count += 1 + + self._last_printable_seen = character + + def reset(self) -> None: # Abstract + self._character_count = 0 + self._suspicious_successive_range_count = 0 + self._last_printable_seen = None + + @property + def ratio(self) -> float: + if self._character_count <= 13: + return 0.0 + + ratio_of_suspicious_range_usage: float = ( + self._suspicious_successive_range_count * 2 + ) / self._character_count + + return ratio_of_suspicious_range_usage + + +class SuperWeirdWordPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._word_count: int = 0 + self._bad_word_count: int = 0 + self._foreign_long_count: int = 0 + + self._is_current_word_bad: bool = False + self._foreign_long_watch: bool = False + + self._character_count: int = 0 + self._bad_character_count: int = 0 + + self._buffer: str = "" + self._buffer_accent_count: int = 0 + self._buffer_glyph_count: int = 0 + + def eligible(self, character: str) -> bool: + return True + + def feed(self, character: str) -> None: + if character.isalpha(): + self._buffer += character + if is_accentuated(character): + self._buffer_accent_count += 1 + if ( + self._foreign_long_watch is False + and (is_latin(character) is False or is_accentuated(character)) + and is_cjk(character) is False + and is_hangul(character) is False + and is_katakana(character) is False + and is_hiragana(character) is False + and is_thai(character) is False + ): + self._foreign_long_watch = True + if ( + is_cjk(character) + or is_hangul(character) + or is_katakana(character) + or is_hiragana(character) + or is_thai(character) + ): + self._buffer_glyph_count += 1 + return + if not self._buffer: + return + if ( + character.isspace() or is_punctuation(character) or is_separator(character) + ) and self._buffer: + self._word_count += 1 + buffer_length: int = len(self._buffer) + + self._character_count += buffer_length + + if buffer_length >= 4: + if self._buffer_accent_count / buffer_length >= 0.5: + self._is_current_word_bad = True + # Word/Buffer ending with an upper case accentuated letter are so rare, + # that we will consider them all as suspicious. Same weight as foreign_long suspicious. + elif ( + is_accentuated(self._buffer[-1]) + and self._buffer[-1].isupper() + and all(_.isupper() for _ in self._buffer) is False + ): + self._foreign_long_count += 1 + self._is_current_word_bad = True + elif self._buffer_glyph_count == 1: + self._is_current_word_bad = True + self._foreign_long_count += 1 + if buffer_length >= 24 and self._foreign_long_watch: + camel_case_dst = [ + i + for c, i in zip(self._buffer, range(0, buffer_length)) + if c.isupper() + ] + probable_camel_cased: bool = False + + if camel_case_dst and (len(camel_case_dst) / buffer_length <= 0.3): + probable_camel_cased = True + + if not probable_camel_cased: + self._foreign_long_count += 1 + self._is_current_word_bad = True + + if self._is_current_word_bad: + self._bad_word_count += 1 + self._bad_character_count += len(self._buffer) + self._is_current_word_bad = False + + self._foreign_long_watch = False + self._buffer = "" + self._buffer_accent_count = 0 + self._buffer_glyph_count = 0 + elif ( + character not in {"<", ">", "-", "=", "~", "|", "_"} + and character.isdigit() is False + and is_symbol(character) + ): + self._is_current_word_bad = True + self._buffer += character + + def reset(self) -> None: # Abstract + self._buffer = "" + self._is_current_word_bad = False + self._foreign_long_watch = False + self._bad_word_count = 0 + self._word_count = 0 + self._character_count = 0 + self._bad_character_count = 0 + self._foreign_long_count = 0 + + @property + def ratio(self) -> float: + if self._word_count <= 10 and self._foreign_long_count == 0: + return 0.0 + + return self._bad_character_count / self._character_count + + +class CjkUncommonPlugin(MessDetectorPlugin): + """ + Detect messy CJK text that probably means nothing. + """ + + def __init__(self) -> None: + self._character_count: int = 0 + self._uncommon_count: int = 0 + + def eligible(self, character: str) -> bool: + return is_cjk(character) + + def feed(self, character: str) -> None: + self._character_count += 1 + + if is_cjk_uncommon(character): + self._uncommon_count += 1 + return + + def reset(self) -> None: # Abstract + self._character_count = 0 + self._uncommon_count = 0 + + @property + def ratio(self) -> float: + if self._character_count < 8: + return 0.0 + + uncommon_form_usage: float = self._uncommon_count / self._character_count + + # we can be pretty sure it's garbage when uncommon characters are widely + # used. otherwise it could just be traditional chinese for example. + return uncommon_form_usage / 10 if uncommon_form_usage > 0.5 else 0.0 + + +class ArchaicUpperLowerPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._buf: bool = False + + self._character_count_since_last_sep: int = 0 + + self._successive_upper_lower_count: int = 0 + self._successive_upper_lower_count_final: int = 0 + + self._character_count: int = 0 + + self._last_alpha_seen: str | None = None + self._current_ascii_only: bool = True + + def eligible(self, character: str) -> bool: + return True + + def feed(self, character: str) -> None: + is_concerned = character.isalpha() and is_case_variable(character) + chunk_sep = is_concerned is False + + if chunk_sep and self._character_count_since_last_sep > 0: + if ( + self._character_count_since_last_sep <= 64 + and character.isdigit() is False + and self._current_ascii_only is False + ): + self._successive_upper_lower_count_final += ( + self._successive_upper_lower_count + ) + + self._successive_upper_lower_count = 0 + self._character_count_since_last_sep = 0 + self._last_alpha_seen = None + self._buf = False + self._character_count += 1 + self._current_ascii_only = True + + return + + if self._current_ascii_only is True and character.isascii() is False: + self._current_ascii_only = False + + if self._last_alpha_seen is not None: + if (character.isupper() and self._last_alpha_seen.islower()) or ( + character.islower() and self._last_alpha_seen.isupper() + ): + if self._buf is True: + self._successive_upper_lower_count += 2 + self._buf = False + else: + self._buf = True + else: + self._buf = False + + self._character_count += 1 + self._character_count_since_last_sep += 1 + self._last_alpha_seen = character + + def reset(self) -> None: # Abstract + self._character_count = 0 + self._character_count_since_last_sep = 0 + self._successive_upper_lower_count = 0 + self._successive_upper_lower_count_final = 0 + self._last_alpha_seen = None + self._buf = False + self._current_ascii_only = True + + @property + def ratio(self) -> float: + if self._character_count == 0: + return 0.0 + + return self._successive_upper_lower_count_final / self._character_count + + +class ArabicIsolatedFormPlugin(MessDetectorPlugin): + def __init__(self) -> None: + self._character_count: int = 0 + self._isolated_form_count: int = 0 + + def reset(self) -> None: # Abstract + self._character_count = 0 + self._isolated_form_count = 0 + + def eligible(self, character: str) -> bool: + return is_arabic(character) + + def feed(self, character: str) -> None: + self._character_count += 1 + + if is_arabic_isolated_form(character): + self._isolated_form_count += 1 + + @property + def ratio(self) -> float: + if self._character_count < 8: + return 0.0 + + isolated_form_usage: float = self._isolated_form_count / self._character_count + + return isolated_form_usage + + +@lru_cache(maxsize=1024) +def is_suspiciously_successive_range( + unicode_range_a: str | None, unicode_range_b: str | None +) -> bool: + """ + Determine if two Unicode range seen next to each other can be considered as suspicious. + """ + if unicode_range_a is None or unicode_range_b is None: + return True + + if unicode_range_a == unicode_range_b: + return False + + if "Latin" in unicode_range_a and "Latin" in unicode_range_b: + return False + + if "Emoticons" in unicode_range_a or "Emoticons" in unicode_range_b: + return False + + # Latin characters can be accompanied with a combining diacritical mark + # eg. Vietnamese. + if ("Latin" in unicode_range_a or "Latin" in unicode_range_b) and ( + "Combining" in unicode_range_a or "Combining" in unicode_range_b + ): + return False + + keywords_range_a, keywords_range_b = ( + unicode_range_a.split(" "), + unicode_range_b.split(" "), + ) + + for el in keywords_range_a: + if el in UNICODE_SECONDARY_RANGE_KEYWORD: + continue + if el in keywords_range_b: + return False + + # Japanese Exception + range_a_jp_chars, range_b_jp_chars = ( + unicode_range_a + in ( + "Hiragana", + "Katakana", + ), + unicode_range_b in ("Hiragana", "Katakana"), + ) + if (range_a_jp_chars or range_b_jp_chars) and ( + "CJK" in unicode_range_a or "CJK" in unicode_range_b + ): + return False + if range_a_jp_chars and range_b_jp_chars: + return False + + if "Hangul" in unicode_range_a or "Hangul" in unicode_range_b: + if "CJK" in unicode_range_a or "CJK" in unicode_range_b: + return False + if unicode_range_a == "Basic Latin" or unicode_range_b == "Basic Latin": + return False + + # Chinese/Japanese use dedicated range for punctuation and/or separators. + if ("CJK" in unicode_range_a or "CJK" in unicode_range_b) or ( + unicode_range_a in ["Katakana", "Hiragana"] + and unicode_range_b in ["Katakana", "Hiragana"] + ): + if "Punctuation" in unicode_range_a or "Punctuation" in unicode_range_b: + return False + if "Forms" in unicode_range_a or "Forms" in unicode_range_b: + return False + if unicode_range_a == "Basic Latin" or unicode_range_b == "Basic Latin": + return False + + return True + + +@lru_cache(maxsize=2048) +def mess_ratio( + decoded_sequence: str, maximum_threshold: float = 0.2, debug: bool = False +) -> float: + """ + Compute a mess ratio given a decoded bytes sequence. The maximum threshold does stop the computation earlier. + """ + + detectors: list[MessDetectorPlugin] = [ + md_class() for md_class in MessDetectorPlugin.__subclasses__() + ] + + length: int = len(decoded_sequence) + 1 + + mean_mess_ratio: float = 0.0 + + if length < 512: + intermediary_mean_mess_ratio_calc: int = 32 + elif length <= 1024: + intermediary_mean_mess_ratio_calc = 64 + else: + intermediary_mean_mess_ratio_calc = 128 + + for character, index in zip(decoded_sequence + "\n", range(length)): + for detector in detectors: + if detector.eligible(character): + detector.feed(character) + + if ( + index > 0 and index % intermediary_mean_mess_ratio_calc == 0 + ) or index == length - 1: + mean_mess_ratio = sum(dt.ratio for dt in detectors) + + if mean_mess_ratio >= maximum_threshold: + break + + if debug: + logger = getLogger("charset_normalizer") + + logger.log( + TRACE, + "Mess-detector extended-analysis start. " + f"intermediary_mean_mess_ratio_calc={intermediary_mean_mess_ratio_calc} mean_mess_ratio={mean_mess_ratio} " + f"maximum_threshold={maximum_threshold}", + ) + + if len(decoded_sequence) > 16: + logger.log(TRACE, f"Starting with: {decoded_sequence[:16]}") + logger.log(TRACE, f"Ending with: {decoded_sequence[-16::]}") + + for dt in detectors: + logger.log(TRACE, f"{dt.__class__}: {dt.ratio}") + + return round(mean_mess_ratio, 3) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/md__mypyc.cpython-310-x86_64-linux-gnu.so b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/md__mypyc.cpython-310-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..276ef4b3c0ac6428d2ef33c46c72ae178bf08763 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/md__mypyc.cpython-310-x86_64-linux-gnu.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:98812eff710d23d5166605da1f635b7b6c21e74d59f91a4cd41475ec49045560 +size 286264 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/models.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/models.py new file mode 100644 index 0000000000000000000000000000000000000000..1042758f873d2a54f7078c5411b17ffc11dca4ee --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/models.py @@ -0,0 +1,360 @@ +from __future__ import annotations + +from encodings.aliases import aliases +from hashlib import sha256 +from json import dumps +from re import sub +from typing import Any, Iterator, List, Tuple + +from .constant import RE_POSSIBLE_ENCODING_INDICATION, TOO_BIG_SEQUENCE +from .utils import iana_name, is_multi_byte_encoding, unicode_range + + +class CharsetMatch: + def __init__( + self, + payload: bytes, + guessed_encoding: str, + mean_mess_ratio: float, + has_sig_or_bom: bool, + languages: CoherenceMatches, + decoded_payload: str | None = None, + preemptive_declaration: str | None = None, + ): + self._payload: bytes = payload + + self._encoding: str = guessed_encoding + self._mean_mess_ratio: float = mean_mess_ratio + self._languages: CoherenceMatches = languages + self._has_sig_or_bom: bool = has_sig_or_bom + self._unicode_ranges: list[str] | None = None + + self._leaves: list[CharsetMatch] = [] + self._mean_coherence_ratio: float = 0.0 + + self._output_payload: bytes | None = None + self._output_encoding: str | None = None + + self._string: str | None = decoded_payload + + self._preemptive_declaration: str | None = preemptive_declaration + + def __eq__(self, other: object) -> bool: + if not isinstance(other, CharsetMatch): + if isinstance(other, str): + return iana_name(other) == self.encoding + return False + return self.encoding == other.encoding and self.fingerprint == other.fingerprint + + def __lt__(self, other: object) -> bool: + """ + Implemented to make sorted available upon CharsetMatches items. + """ + if not isinstance(other, CharsetMatch): + raise ValueError + + chaos_difference: float = abs(self.chaos - other.chaos) + coherence_difference: float = abs(self.coherence - other.coherence) + + # Below 1% difference --> Use Coherence + if chaos_difference < 0.01 and coherence_difference > 0.02: + return self.coherence > other.coherence + elif chaos_difference < 0.01 and coherence_difference <= 0.02: + # When having a difficult decision, use the result that decoded as many multi-byte as possible. + # preserve RAM usage! + if len(self._payload) >= TOO_BIG_SEQUENCE: + return self.chaos < other.chaos + return self.multi_byte_usage > other.multi_byte_usage + + return self.chaos < other.chaos + + @property + def multi_byte_usage(self) -> float: + return 1.0 - (len(str(self)) / len(self.raw)) + + def __str__(self) -> str: + # Lazy Str Loading + if self._string is None: + self._string = str(self._payload, self._encoding, "strict") + return self._string + + def __repr__(self) -> str: + return f"" + + def add_submatch(self, other: CharsetMatch) -> None: + if not isinstance(other, CharsetMatch) or other == self: + raise ValueError( + "Unable to add instance <{}> as a submatch of a CharsetMatch".format( + other.__class__ + ) + ) + + other._string = None # Unload RAM usage; dirty trick. + self._leaves.append(other) + + @property + def encoding(self) -> str: + return self._encoding + + @property + def encoding_aliases(self) -> list[str]: + """ + Encoding name are known by many name, using this could help when searching for IBM855 when it's listed as CP855. + """ + also_known_as: list[str] = [] + for u, p in aliases.items(): + if self.encoding == u: + also_known_as.append(p) + elif self.encoding == p: + also_known_as.append(u) + return also_known_as + + @property + def bom(self) -> bool: + return self._has_sig_or_bom + + @property + def byte_order_mark(self) -> bool: + return self._has_sig_or_bom + + @property + def languages(self) -> list[str]: + """ + Return the complete list of possible languages found in decoded sequence. + Usually not really useful. Returned list may be empty even if 'language' property return something != 'Unknown'. + """ + return [e[0] for e in self._languages] + + @property + def language(self) -> str: + """ + Most probable language found in decoded sequence. If none were detected or inferred, the property will return + "Unknown". + """ + if not self._languages: + # Trying to infer the language based on the given encoding + # Its either English or we should not pronounce ourselves in certain cases. + if "ascii" in self.could_be_from_charset: + return "English" + + # doing it there to avoid circular import + from charset_normalizer.cd import encoding_languages, mb_encoding_languages + + languages = ( + mb_encoding_languages(self.encoding) + if is_multi_byte_encoding(self.encoding) + else encoding_languages(self.encoding) + ) + + if len(languages) == 0 or "Latin Based" in languages: + return "Unknown" + + return languages[0] + + return self._languages[0][0] + + @property + def chaos(self) -> float: + return self._mean_mess_ratio + + @property + def coherence(self) -> float: + if not self._languages: + return 0.0 + return self._languages[0][1] + + @property + def percent_chaos(self) -> float: + return round(self.chaos * 100, ndigits=3) + + @property + def percent_coherence(self) -> float: + return round(self.coherence * 100, ndigits=3) + + @property + def raw(self) -> bytes: + """ + Original untouched bytes. + """ + return self._payload + + @property + def submatch(self) -> list[CharsetMatch]: + return self._leaves + + @property + def has_submatch(self) -> bool: + return len(self._leaves) > 0 + + @property + def alphabets(self) -> list[str]: + if self._unicode_ranges is not None: + return self._unicode_ranges + # list detected ranges + detected_ranges: list[str | None] = [unicode_range(char) for char in str(self)] + # filter and sort + self._unicode_ranges = sorted(list({r for r in detected_ranges if r})) + return self._unicode_ranges + + @property + def could_be_from_charset(self) -> list[str]: + """ + The complete list of encoding that output the exact SAME str result and therefore could be the originating + encoding. + This list does include the encoding available in property 'encoding'. + """ + return [self._encoding] + [m.encoding for m in self._leaves] + + def output(self, encoding: str = "utf_8") -> bytes: + """ + Method to get re-encoded bytes payload using given target encoding. Default to UTF-8. + Any errors will be simply ignored by the encoder NOT replaced. + """ + if self._output_encoding is None or self._output_encoding != encoding: + self._output_encoding = encoding + decoded_string = str(self) + if ( + self._preemptive_declaration is not None + and self._preemptive_declaration.lower() + not in ["utf-8", "utf8", "utf_8"] + ): + patched_header = sub( + RE_POSSIBLE_ENCODING_INDICATION, + lambda m: m.string[m.span()[0] : m.span()[1]].replace( + m.groups()[0], + iana_name(self._output_encoding).replace("_", "-"), # type: ignore[arg-type] + ), + decoded_string[:8192], + count=1, + ) + + decoded_string = patched_header + decoded_string[8192:] + + self._output_payload = decoded_string.encode(encoding, "replace") + + return self._output_payload # type: ignore + + @property + def fingerprint(self) -> str: + """ + Retrieve the unique SHA256 computed using the transformed (re-encoded) payload. Not the original one. + """ + return sha256(self.output()).hexdigest() + + +class CharsetMatches: + """ + Container with every CharsetMatch items ordered by default from most probable to the less one. + Act like a list(iterable) but does not implements all related methods. + """ + + def __init__(self, results: list[CharsetMatch] | None = None): + self._results: list[CharsetMatch] = sorted(results) if results else [] + + def __iter__(self) -> Iterator[CharsetMatch]: + yield from self._results + + def __getitem__(self, item: int | str) -> CharsetMatch: + """ + Retrieve a single item either by its position or encoding name (alias may be used here). + Raise KeyError upon invalid index or encoding not present in results. + """ + if isinstance(item, int): + return self._results[item] + if isinstance(item, str): + item = iana_name(item, False) + for result in self._results: + if item in result.could_be_from_charset: + return result + raise KeyError + + def __len__(self) -> int: + return len(self._results) + + def __bool__(self) -> bool: + return len(self._results) > 0 + + def append(self, item: CharsetMatch) -> None: + """ + Insert a single match. Will be inserted accordingly to preserve sort. + Can be inserted as a submatch. + """ + if not isinstance(item, CharsetMatch): + raise ValueError( + "Cannot append instance '{}' to CharsetMatches".format( + str(item.__class__) + ) + ) + # We should disable the submatch factoring when the input file is too heavy (conserve RAM usage) + if len(item.raw) < TOO_BIG_SEQUENCE: + for match in self._results: + if match.fingerprint == item.fingerprint and match.chaos == item.chaos: + match.add_submatch(item) + return + self._results.append(item) + self._results = sorted(self._results) + + def best(self) -> CharsetMatch | None: + """ + Simply return the first match. Strict equivalent to matches[0]. + """ + if not self._results: + return None + return self._results[0] + + def first(self) -> CharsetMatch | None: + """ + Redundant method, call the method best(). Kept for BC reasons. + """ + return self.best() + + +CoherenceMatch = Tuple[str, float] +CoherenceMatches = List[CoherenceMatch] + + +class CliDetectionResult: + def __init__( + self, + path: str, + encoding: str | None, + encoding_aliases: list[str], + alternative_encodings: list[str], + language: str, + alphabets: list[str], + has_sig_or_bom: bool, + chaos: float, + coherence: float, + unicode_path: str | None, + is_preferred: bool, + ): + self.path: str = path + self.unicode_path: str | None = unicode_path + self.encoding: str | None = encoding + self.encoding_aliases: list[str] = encoding_aliases + self.alternative_encodings: list[str] = alternative_encodings + self.language: str = language + self.alphabets: list[str] = alphabets + self.has_sig_or_bom: bool = has_sig_or_bom + self.chaos: float = chaos + self.coherence: float = coherence + self.is_preferred: bool = is_preferred + + @property + def __dict__(self) -> dict[str, Any]: # type: ignore + return { + "path": self.path, + "encoding": self.encoding, + "encoding_aliases": self.encoding_aliases, + "alternative_encodings": self.alternative_encodings, + "language": self.language, + "alphabets": self.alphabets, + "has_sig_or_bom": self.has_sig_or_bom, + "chaos": self.chaos, + "coherence": self.coherence, + "unicode_path": self.unicode_path, + "is_preferred": self.is_preferred, + } + + def to_json(self) -> str: + return dumps(self.__dict__, ensure_ascii=True, indent=4) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..6bf0384ccf94216f79881674f54182a93e17def0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/utils.py @@ -0,0 +1,414 @@ +from __future__ import annotations + +import importlib +import logging +import unicodedata +from codecs import IncrementalDecoder +from encodings.aliases import aliases +from functools import lru_cache +from re import findall +from typing import Generator + +from _multibytecodec import ( # type: ignore[import-not-found,import] + MultibyteIncrementalDecoder, +) + +from .constant import ( + ENCODING_MARKS, + IANA_SUPPORTED_SIMILAR, + RE_POSSIBLE_ENCODING_INDICATION, + UNICODE_RANGES_COMBINED, + UNICODE_SECONDARY_RANGE_KEYWORD, + UTF8_MAXIMAL_ALLOCATION, + COMMON_CJK_CHARACTERS, +) + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_accentuated(character: str) -> bool: + try: + description: str = unicodedata.name(character) + except ValueError: # Defensive: unicode database outdated? + return False + return ( + "WITH GRAVE" in description + or "WITH ACUTE" in description + or "WITH CEDILLA" in description + or "WITH DIAERESIS" in description + or "WITH CIRCUMFLEX" in description + or "WITH TILDE" in description + or "WITH MACRON" in description + or "WITH RING ABOVE" in description + ) + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def remove_accent(character: str) -> str: + decomposed: str = unicodedata.decomposition(character) + if not decomposed: + return character + + codes: list[str] = decomposed.split(" ") + + return chr(int(codes[0], 16)) + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def unicode_range(character: str) -> str | None: + """ + Retrieve the Unicode range official name from a single character. + """ + character_ord: int = ord(character) + + for range_name, ord_range in UNICODE_RANGES_COMBINED.items(): + if character_ord in ord_range: + return range_name + + return None + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_latin(character: str) -> bool: + try: + description: str = unicodedata.name(character) + except ValueError: # Defensive: unicode database outdated? + return False + return "LATIN" in description + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_punctuation(character: str) -> bool: + character_category: str = unicodedata.category(character) + + if "P" in character_category: + return True + + character_range: str | None = unicode_range(character) + + if character_range is None: + return False + + return "Punctuation" in character_range + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_symbol(character: str) -> bool: + character_category: str = unicodedata.category(character) + + if "S" in character_category or "N" in character_category: + return True + + character_range: str | None = unicode_range(character) + + if character_range is None: + return False + + return "Forms" in character_range and character_category != "Lo" + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_emoticon(character: str) -> bool: + character_range: str | None = unicode_range(character) + + if character_range is None: + return False + + return "Emoticons" in character_range or "Pictographs" in character_range + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_separator(character: str) -> bool: + if character.isspace() or character in {"｜", "+", "<", ">"}: + return True + + character_category: str = unicodedata.category(character) + + return "Z" in character_category or character_category in {"Po", "Pd", "Pc"} + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_case_variable(character: str) -> bool: + return character.islower() != character.isupper() + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_cjk(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: # Defensive: unicode database outdated? + return False + + return "CJK" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_hiragana(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: # Defensive: unicode database outdated? + return False + + return "HIRAGANA" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_katakana(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: # Defensive: unicode database outdated? + return False + + return "KATAKANA" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_hangul(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: # Defensive: unicode database outdated? + return False + + return "HANGUL" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_thai(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: # Defensive: unicode database outdated? + return False + + return "THAI" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_arabic(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: # Defensive: unicode database outdated? + return False + + return "ARABIC" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_arabic_isolated_form(character: str) -> bool: + try: + character_name = unicodedata.name(character) + except ValueError: # Defensive: unicode database outdated? + return False + + return "ARABIC" in character_name and "ISOLATED FORM" in character_name + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_cjk_uncommon(character: str) -> bool: + return character not in COMMON_CJK_CHARACTERS + + +@lru_cache(maxsize=len(UNICODE_RANGES_COMBINED)) +def is_unicode_range_secondary(range_name: str) -> bool: + return any(keyword in range_name for keyword in UNICODE_SECONDARY_RANGE_KEYWORD) + + +@lru_cache(maxsize=UTF8_MAXIMAL_ALLOCATION) +def is_unprintable(character: str) -> bool: + return ( + character.isspace() is False # includes \n \t \r \v + and character.isprintable() is False + and character != "\x1a" # Why? Its the ASCII substitute character. + and character != "\ufeff" # bug discovered in Python, + # Zero Width No-Break Space located in Arabic Presentation Forms-B, Unicode 1.1 not acknowledged as space. + ) + + +def any_specified_encoding(sequence: bytes, search_zone: int = 8192) -> str | None: + """ + Extract using ASCII-only decoder any specified encoding in the first n-bytes. + """ + if not isinstance(sequence, bytes): + raise TypeError + + seq_len: int = len(sequence) + + results: list[str] = findall( + RE_POSSIBLE_ENCODING_INDICATION, + sequence[: min(seq_len, search_zone)].decode("ascii", errors="ignore"), + ) + + if len(results) == 0: + return None + + for specified_encoding in results: + specified_encoding = specified_encoding.lower().replace("-", "_") + + encoding_alias: str + encoding_iana: str + + for encoding_alias, encoding_iana in aliases.items(): + if encoding_alias == specified_encoding: + return encoding_iana + if encoding_iana == specified_encoding: + return encoding_iana + + return None + + +@lru_cache(maxsize=128) +def is_multi_byte_encoding(name: str) -> bool: + """ + Verify is a specific encoding is a multi byte one based on it IANA name + """ + return name in { + "utf_8", + "utf_8_sig", + "utf_16", + "utf_16_be", + "utf_16_le", + "utf_32", + "utf_32_le", + "utf_32_be", + "utf_7", + } or issubclass( + importlib.import_module(f"encodings.{name}").IncrementalDecoder, + MultibyteIncrementalDecoder, + ) + + +def identify_sig_or_bom(sequence: bytes) -> tuple[str | None, bytes]: + """ + Identify and extract SIG/BOM in given sequence. + """ + + for iana_encoding in ENCODING_MARKS: + marks: bytes | list[bytes] = ENCODING_MARKS[iana_encoding] + + if isinstance(marks, bytes): + marks = [marks] + + for mark in marks: + if sequence.startswith(mark): + return iana_encoding, mark + + return None, b"" + + +def should_strip_sig_or_bom(iana_encoding: str) -> bool: + return iana_encoding not in {"utf_16", "utf_32"} + + +def iana_name(cp_name: str, strict: bool = True) -> str: + """Returns the Python normalized encoding name (Not the IANA official name).""" + cp_name = cp_name.lower().replace("-", "_") + + encoding_alias: str + encoding_iana: str + + for encoding_alias, encoding_iana in aliases.items(): + if cp_name in [encoding_alias, encoding_iana]: + return encoding_iana + + if strict: + raise ValueError(f"Unable to retrieve IANA for '{cp_name}'") + + return cp_name + + +def cp_similarity(iana_name_a: str, iana_name_b: str) -> float: + if is_multi_byte_encoding(iana_name_a) or is_multi_byte_encoding(iana_name_b): + return 0.0 + + decoder_a = importlib.import_module(f"encodings.{iana_name_a}").IncrementalDecoder + decoder_b = importlib.import_module(f"encodings.{iana_name_b}").IncrementalDecoder + + id_a: IncrementalDecoder = decoder_a(errors="ignore") + id_b: IncrementalDecoder = decoder_b(errors="ignore") + + character_match_count: int = 0 + + for i in range(255): + to_be_decoded: bytes = bytes([i]) + if id_a.decode(to_be_decoded) == id_b.decode(to_be_decoded): + character_match_count += 1 + + return character_match_count / 254 + + +def is_cp_similar(iana_name_a: str, iana_name_b: str) -> bool: + """ + Determine if two code page are at least 80% similar. IANA_SUPPORTED_SIMILAR dict was generated using + the function cp_similarity. + """ + return ( + iana_name_a in IANA_SUPPORTED_SIMILAR + and iana_name_b in IANA_SUPPORTED_SIMILAR[iana_name_a] + ) + + +def set_logging_handler( + name: str = "charset_normalizer", + level: int = logging.INFO, + format_string: str = "%(asctime)s | %(levelname)s | %(message)s", +) -> None: + logger = logging.getLogger(name) + logger.setLevel(level) + + handler = logging.StreamHandler() + handler.setFormatter(logging.Formatter(format_string)) + logger.addHandler(handler) + + +def cut_sequence_chunks( + sequences: bytes, + encoding_iana: str, + offsets: range, + chunk_size: int, + bom_or_sig_available: bool, + strip_sig_or_bom: bool, + sig_payload: bytes, + is_multi_byte_decoder: bool, + decoded_payload: str | None = None, +) -> Generator[str, None, None]: + if decoded_payload and is_multi_byte_decoder is False: + for i in offsets: + chunk = decoded_payload[i : i + chunk_size] + if not chunk: + break + yield chunk + else: + for i in offsets: + chunk_end = i + chunk_size + if chunk_end > len(sequences) + 8: + continue + + cut_sequence = sequences[i : i + chunk_size] + + if bom_or_sig_available and strip_sig_or_bom is False: + cut_sequence = sig_payload + cut_sequence + + chunk = cut_sequence.decode( + encoding_iana, + errors="ignore" if is_multi_byte_decoder else "strict", + ) + + # multi-byte bad cutting detector and adjustment + # not the cleanest way to perform that fix but clever enough for now. + if is_multi_byte_decoder and i > 0: + chunk_partial_size_chk: int = min(chunk_size, 16) + + if ( + decoded_payload + and chunk[:chunk_partial_size_chk] not in decoded_payload + ): + for j in range(i, i - 4, -1): + cut_sequence = sequences[j:chunk_end] + + if bom_or_sig_available and strip_sig_or_bom is False: + cut_sequence = sig_payload + cut_sequence + + chunk = cut_sequence.decode(encoding_iana, errors="ignore") + + if chunk[:chunk_partial_size_chk] in decoded_payload: + break + + yield chunk diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/version.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/version.py new file mode 100644 index 0000000000000000000000000000000000000000..c843e5331131fe69b5bba96d3f0c1160dcaa943b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/charset_normalizer/version.py @@ -0,0 +1,8 @@ +""" +Expose version +""" + +from __future__ import annotations + +__version__ = "3.4.4" +VERSION = __version__.split(".") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..e8aadf0dbccf3ff8f1b00de8c07930dd2200b3ec --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/METADATA @@ -0,0 +1,8 @@ +Metadata-Version: 2.4 +Name: claude +Version: 0.4.11 +Summary: Reserved +Author: Lina Tawfik +Author-email: +Dynamic: author +Dynamic: summary diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/RECORD 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a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/REQUESTED b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/REQUESTED new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/WHEEL b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..e7fa31b6f3f78deb1022c1f7927f07d4d16da822 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/WHEEL @@ -0,0 +1,5 @@ +Wheel-Version: 1.0 +Generator: setuptools (80.9.0) +Root-Is-Purelib: true +Tag: py3-none-any + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/top_level.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..48cdce85287243a96a9e7d47855104acbcb79837 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/claude-0.4.11.dist-info/top_level.txt @@ -0,0 +1 @@ +placeholder diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..3f433afb9c48912fe13fc7b24a0e71874c675822 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/METADATA @@ -0,0 +1,84 @@ +Metadata-Version: 2.4 +Name: click +Version: 8.3.1 +Summary: Composable command line interface toolkit +Maintainer-email: Pallets +Requires-Python: >=3.10 +Description-Content-Type: text/markdown +License-Expression: BSD-3-Clause +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python +Classifier: Typing :: Typed +License-File: LICENSE.txt +Requires-Dist: colorama; platform_system == 'Windows' +Project-URL: Changes, https://click.palletsprojects.com/page/changes/ +Project-URL: Chat, https://discord.gg/pallets +Project-URL: Documentation, https://click.palletsprojects.com/ +Project-URL: Donate, https://palletsprojects.com/donate +Project-URL: Source, https://github.com/pallets/click/ + +
        + +# Click + +Click is a Python package for creating beautiful command line interfaces +in a composable way with as little code as necessary. It's the "Command +Line Interface Creation Kit". It's highly configurable but comes with +sensible defaults out of the box. + +It aims to make the process of writing command line tools quick and fun +while also preventing any frustration caused by the inability to +implement an intended CLI API. + +Click in three points: + +- Arbitrary nesting of commands +- Automatic help page generation +- Supports lazy loading of subcommands at runtime + + +## A Simple Example + +```python +import click + +@click.command() +@click.option("--count", default=1, help="Number of greetings.") +@click.option("--name", prompt="Your name", help="The person to greet.") +def hello(count, name): + """Simple program that greets NAME for a total of COUNT times.""" + for _ in range(count): + click.echo(f"Hello, {name}!") + +if __name__ == '__main__': + hello() +``` + +``` +$ python hello.py --count=3 +Your name: Click +Hello, Click! +Hello, Click! +Hello, Click! +``` + + +## Donate + +The Pallets organization develops and supports Click and other popular +packages. In order to grow the community of contributors and users, and +allow the maintainers to devote more time to the projects, [please +donate today][]. + +[please donate today]: https://palletsprojects.com/donate + +## Contributing + +See our [detailed contributing documentation][contrib] for many ways to +contribute, including reporting issues, requesting features, asking or answering +questions, and making PRs. + +[contrib]: https://palletsprojects.com/contributing/ + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..839aadeaba065309d29eb411d38cd448585da943 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/RECORD @@ -0,0 +1,40 @@ +click-8.3.1.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +click-8.3.1.dist-info/METADATA,sha256=XZeBrMAE0ghTE88SjfrSDuSyNCpBPplxJR1tbwD9oZg,2621 +click-8.3.1.dist-info/RECORD,, +click-8.3.1.dist-info/WHEEL,sha256=G2gURzTEtmeR8nrdXUJfNiB3VYVxigPQ-bEQujpNiNs,82 +click-8.3.1.dist-info/licenses/LICENSE.txt,sha256=morRBqOU6FO_4h9C9OctWSgZoigF2ZG18ydQKSkrZY0,1475 +click/__init__.py,sha256=6YyS1aeyknZ0LYweWozNZy0A9nZ_11wmYIhv3cbQrYo,4473 +click/__pycache__/__init__.cpython-310.pyc,, +click/__pycache__/_compat.cpython-310.pyc,, +click/__pycache__/_termui_impl.cpython-310.pyc,, +click/__pycache__/_textwrap.cpython-310.pyc,, +click/__pycache__/_utils.cpython-310.pyc,, +click/__pycache__/_winconsole.cpython-310.pyc,, +click/__pycache__/core.cpython-310.pyc,, +click/__pycache__/decorators.cpython-310.pyc,, +click/__pycache__/exceptions.cpython-310.pyc,, +click/__pycache__/formatting.cpython-310.pyc,, +click/__pycache__/globals.cpython-310.pyc,, +click/__pycache__/parser.cpython-310.pyc,, +click/__pycache__/shell_completion.cpython-310.pyc,, +click/__pycache__/termui.cpython-310.pyc,, +click/__pycache__/testing.cpython-310.pyc,, +click/__pycache__/types.cpython-310.pyc,, +click/__pycache__/utils.cpython-310.pyc,, +click/_compat.py,sha256=v3xBZkFbvA1BXPRkFfBJc6-pIwPI7345m-kQEnpVAs4,18693 +click/_termui_impl.py,sha256=rgCb3On8X5A4200rA5L6i13u5iapmFer7sru57Jy6zA,27093 +click/_textwrap.py,sha256=BOae0RQ6vg3FkNgSJyOoGzG1meGMxJ_ukWVZKx_v-0o,1400 +click/_utils.py,sha256=kZwtTf5gMuCilJJceS2iTCvRvCY-0aN5rJq8gKw7p8g,943 +click/_winconsole.py,sha256=_vxUuUaxwBhoR0vUWCNuHY8VUefiMdCIyU2SXPqoF-A,8465 +click/core.py,sha256=U6Bfxt8GkjNDqyJ0HqXvluJHtyZ4sY5USAvM1Cdq7mQ,132105 +click/decorators.py,sha256=5P7abhJtAQYp_KHgjUvhMv464ERwOzrv2enNknlwHyQ,18461 +click/exceptions.py,sha256=8utf8w6V5hJXMnO_ic1FNrtbwuEn1NUu1aDwV8UqnG4,9954 +click/formatting.py,sha256=RVfwwr0rwWNpgGr8NaHodPzkIr7_tUyVh_nDdanLMNc,9730 +click/globals.py,sha256=gM-Nh6A4M0HB_SgkaF5M4ncGGMDHc_flHXu9_oh4GEU,1923 +click/parser.py,sha256=Q31pH0FlQZEq-UXE_ABRzlygEfvxPTuZbWNh4xfXmzw,19010 +click/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +click/shell_completion.py,sha256=Cc4GQUFuWpfQBa9sF5qXeeYI7n3tI_1k6ZdSn4BZbT0,20994 +click/termui.py,sha256=hqCEjNndU-nzW08nRAkBaVgfZp_FdCA9KxfIWlKYaMc,31037 +click/testing.py,sha256=EERbzcl1br0mW0qBS9EqkknfNfXB9WQEW0ELIpkvuSs,19102 +click/types.py,sha256=ek54BNSFwPKsqtfT7jsqcc4WHui8AIFVMKM4oVZIXhc,39927 +click/utils.py,sha256=gCUoewdAhA-QLBUUHxrLh4uj6m7T1WjZZMNPvR0I7YA,20257 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/WHEEL b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..d8b9936dad9ab2513fa6979f411560d3b6b57e37 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/WHEEL @@ -0,0 +1,4 @@ +Wheel-Version: 1.0 +Generator: flit 3.12.0 +Root-Is-Purelib: true +Tag: py3-none-any diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/licenses/LICENSE.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/licenses/LICENSE.txt new file mode 100644 index 0000000000000000000000000000000000000000..d12a849186982399c537c5b9a8fd77bf2edd5eab --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click-8.3.1.dist-info/licenses/LICENSE.txt @@ -0,0 +1,28 @@ +Copyright 2014 Pallets + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A +PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED +TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1aa547c57af68954b3bcd6012873881030e53d91 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/__init__.py @@ -0,0 +1,123 @@ +""" +Click is a simple Python module inspired by the stdlib optparse to make +writing command line scripts fun. Unlike other modules, it's based +around a simple API that does not come with too much magic and is +composable. +""" + +from __future__ import annotations + +from .core import Argument as Argument +from .core import Command as Command +from .core import CommandCollection as CommandCollection +from .core import Context as Context +from .core import Group as Group +from .core import Option as Option +from .core import Parameter as Parameter +from .decorators import argument as argument +from .decorators import command as command +from .decorators import confirmation_option as confirmation_option +from .decorators import group as group +from .decorators import help_option as help_option +from .decorators import make_pass_decorator as make_pass_decorator +from .decorators import option as option +from .decorators import pass_context as pass_context +from .decorators import pass_obj as pass_obj +from .decorators import password_option as password_option +from .decorators import version_option as version_option +from .exceptions import Abort as Abort +from .exceptions import BadArgumentUsage as BadArgumentUsage +from .exceptions import BadOptionUsage as BadOptionUsage +from .exceptions import BadParameter as BadParameter +from .exceptions import ClickException as ClickException +from .exceptions import FileError as FileError +from .exceptions import MissingParameter as MissingParameter +from .exceptions import NoSuchOption as NoSuchOption +from .exceptions import UsageError as UsageError +from .formatting import HelpFormatter as HelpFormatter +from .formatting import wrap_text as wrap_text +from .globals import get_current_context as get_current_context +from .termui import clear as clear +from .termui import confirm as confirm +from .termui import echo_via_pager as echo_via_pager +from .termui import edit as edit +from .termui import getchar as getchar +from .termui import launch as launch +from .termui import pause as pause +from .termui import progressbar as progressbar +from .termui import prompt as prompt +from .termui import secho as secho +from .termui import style as style +from .termui import unstyle as unstyle +from .types import BOOL as BOOL +from .types import Choice as Choice +from .types import DateTime as DateTime +from .types import File as File +from .types import FLOAT as FLOAT +from .types import FloatRange as FloatRange +from .types import INT as INT +from .types import IntRange as IntRange +from .types import ParamType as ParamType +from .types import Path as Path +from .types import STRING as STRING +from .types import Tuple as Tuple +from .types import UNPROCESSED as UNPROCESSED +from .types import UUID as UUID +from .utils import echo as echo +from .utils import format_filename as format_filename +from .utils import get_app_dir as get_app_dir +from .utils import get_binary_stream as get_binary_stream +from .utils import get_text_stream as get_text_stream +from .utils import open_file as open_file + + +def __getattr__(name: str) -> object: + import warnings + + if name == "BaseCommand": + from .core import _BaseCommand + + warnings.warn( + "'BaseCommand' is deprecated and will be removed in Click 9.0. Use" + " 'Command' instead.", + DeprecationWarning, + stacklevel=2, + ) + return _BaseCommand + + if name == "MultiCommand": + from .core import _MultiCommand + + warnings.warn( + "'MultiCommand' is deprecated and will be removed in Click 9.0. Use" + " 'Group' instead.", + DeprecationWarning, + stacklevel=2, + ) + return _MultiCommand + + if name == "OptionParser": + from .parser import _OptionParser + + warnings.warn( + "'OptionParser' is deprecated and will be removed in Click 9.0. The" + " old parser is available in 'optparse'.", + DeprecationWarning, + stacklevel=2, + ) + return _OptionParser + + if name == "__version__": + import importlib.metadata + import warnings + + warnings.warn( + "The '__version__' attribute is deprecated and will be removed in" + " Click 9.1. Use feature detection or" + " 'importlib.metadata.version(\"click\")' instead.", + DeprecationWarning, + stacklevel=2, + ) + return importlib.metadata.version("click") + + raise AttributeError(name) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_compat.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_compat.py new file mode 100644 index 0000000000000000000000000000000000000000..f2726b93afe2ed69ba20d8e709c9cbd22b9d2339 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_compat.py @@ -0,0 +1,622 @@ +from __future__ import annotations + +import codecs +import collections.abc as cabc +import io +import os +import re +import sys +import typing as t +from types import TracebackType +from weakref import WeakKeyDictionary + +CYGWIN = sys.platform.startswith("cygwin") +WIN = sys.platform.startswith("win") +auto_wrap_for_ansi: t.Callable[[t.TextIO], t.TextIO] | None = None +_ansi_re = re.compile(r"\033\[[;?0-9]*[a-zA-Z]") + + +def _make_text_stream( + stream: t.BinaryIO, + encoding: str | None, + errors: str | None, + force_readable: bool = False, + force_writable: bool = False, +) -> t.TextIO: + if encoding is None: + encoding = get_best_encoding(stream) + if errors is None: + errors = "replace" + return _NonClosingTextIOWrapper( + stream, + encoding, + errors, + line_buffering=True, + force_readable=force_readable, + force_writable=force_writable, + ) + + +def is_ascii_encoding(encoding: str) -> bool: + """Checks if a given encoding is ascii.""" + try: + return codecs.lookup(encoding).name == "ascii" + except LookupError: + return False + + +def get_best_encoding(stream: t.IO[t.Any]) -> str: + """Returns the default stream encoding if not found.""" + rv = getattr(stream, "encoding", None) or sys.getdefaultencoding() + if is_ascii_encoding(rv): + return "utf-8" + return rv + + +class _NonClosingTextIOWrapper(io.TextIOWrapper): + def __init__( + self, + stream: t.BinaryIO, + encoding: str | None, + errors: str | None, + force_readable: bool = False, + force_writable: bool = False, + **extra: t.Any, + ) -> None: + self._stream = stream = t.cast( + t.BinaryIO, _FixupStream(stream, force_readable, force_writable) + ) + super().__init__(stream, encoding, errors, **extra) + + def __del__(self) -> None: + try: + self.detach() + except Exception: + pass + + def isatty(self) -> bool: + # https://bitbucket.org/pypy/pypy/issue/1803 + return self._stream.isatty() + + +class _FixupStream: + """The new io interface needs more from streams than streams + traditionally implement. As such, this fix-up code is necessary in + some circumstances. + + The forcing of readable and writable flags are there because some tools + put badly patched objects on sys (one such offender are certain version + of jupyter notebook). + """ + + def __init__( + self, + stream: t.BinaryIO, + force_readable: bool = False, + force_writable: bool = False, + ): + self._stream = stream + self._force_readable = force_readable + self._force_writable = force_writable + + def __getattr__(self, name: str) -> t.Any: + return getattr(self._stream, name) + + def read1(self, size: int) -> bytes: + f = getattr(self._stream, "read1", None) + + if f is not None: + return t.cast(bytes, f(size)) + + return self._stream.read(size) + + def readable(self) -> bool: + if self._force_readable: + return True + x = getattr(self._stream, "readable", None) + if x is not None: + return t.cast(bool, x()) + try: + self._stream.read(0) + except Exception: + return False + return True + + def writable(self) -> bool: + if self._force_writable: + return True + x = getattr(self._stream, "writable", None) + if x is not None: + return t.cast(bool, x()) + try: + self._stream.write(b"") + except Exception: + try: + self._stream.write(b"") + except Exception: + return False + return True + + def seekable(self) -> bool: + x = getattr(self._stream, "seekable", None) + if x is not None: + return t.cast(bool, x()) + try: + self._stream.seek(self._stream.tell()) + except Exception: + return False + return True + + +def _is_binary_reader(stream: t.IO[t.Any], default: bool = False) -> bool: + try: + return isinstance(stream.read(0), bytes) + except Exception: + return default + # This happens in some cases where the stream was already + # closed. In this case, we assume the default. + + +def _is_binary_writer(stream: t.IO[t.Any], default: bool = False) -> bool: + try: + stream.write(b"") + except Exception: + try: + stream.write("") + return False + except Exception: + pass + return default + return True + + +def _find_binary_reader(stream: t.IO[t.Any]) -> t.BinaryIO | None: + # We need to figure out if the given stream is already binary. + # This can happen because the official docs recommend detaching + # the streams to get binary streams. Some code might do this, so + # we need to deal with this case explicitly. + if _is_binary_reader(stream, False): + return t.cast(t.BinaryIO, stream) + + buf = getattr(stream, "buffer", None) + + # Same situation here; this time we assume that the buffer is + # actually binary in case it's closed. + if buf is not None and _is_binary_reader(buf, True): + return t.cast(t.BinaryIO, buf) + + return None + + +def _find_binary_writer(stream: t.IO[t.Any]) -> t.BinaryIO | None: + # We need to figure out if the given stream is already binary. + # This can happen because the official docs recommend detaching + # the streams to get binary streams. Some code might do this, so + # we need to deal with this case explicitly. + if _is_binary_writer(stream, False): + return t.cast(t.BinaryIO, stream) + + buf = getattr(stream, "buffer", None) + + # Same situation here; this time we assume that the buffer is + # actually binary in case it's closed. + if buf is not None and _is_binary_writer(buf, True): + return t.cast(t.BinaryIO, buf) + + return None + + +def _stream_is_misconfigured(stream: t.TextIO) -> bool: + """A stream is misconfigured if its encoding is ASCII.""" + # If the stream does not have an encoding set, we assume it's set + # to ASCII. This appears to happen in certain unittest + # environments. It's not quite clear what the correct behavior is + # but this at least will force Click to recover somehow. + return is_ascii_encoding(getattr(stream, "encoding", None) or "ascii") + + +def _is_compat_stream_attr(stream: t.TextIO, attr: str, value: str | None) -> bool: + """A stream attribute is compatible if it is equal to the + desired value or the desired value is unset and the attribute + has a value. + """ + stream_value = getattr(stream, attr, None) + return stream_value == value or (value is None and stream_value is not None) + + +def _is_compatible_text_stream( + stream: t.TextIO, encoding: str | None, errors: str | None +) -> bool: + """Check if a stream's encoding and errors attributes are + compatible with the desired values. + """ + return _is_compat_stream_attr( + stream, "encoding", encoding + ) and _is_compat_stream_attr(stream, "errors", errors) + + +def _force_correct_text_stream( + text_stream: t.IO[t.Any], + encoding: str | None, + errors: str | None, + is_binary: t.Callable[[t.IO[t.Any], bool], bool], + find_binary: t.Callable[[t.IO[t.Any]], t.BinaryIO | None], + force_readable: bool = False, + force_writable: bool = False, +) -> t.TextIO: + if is_binary(text_stream, False): + binary_reader = t.cast(t.BinaryIO, text_stream) + else: + text_stream = t.cast(t.TextIO, text_stream) + # If the stream looks compatible, and won't default to a + # misconfigured ascii encoding, return it as-is. + if _is_compatible_text_stream(text_stream, encoding, errors) and not ( + encoding is None and _stream_is_misconfigured(text_stream) + ): + return text_stream + + # Otherwise, get the underlying binary reader. + possible_binary_reader = find_binary(text_stream) + + # If that's not possible, silently use the original reader + # and get mojibake instead of exceptions. + if possible_binary_reader is None: + return text_stream + + binary_reader = possible_binary_reader + + # Default errors to replace instead of strict in order to get + # something that works. + if errors is None: + errors = "replace" + + # Wrap the binary stream in a text stream with the correct + # encoding parameters. + return _make_text_stream( + binary_reader, + encoding, + errors, + force_readable=force_readable, + force_writable=force_writable, + ) + + +def _force_correct_text_reader( + text_reader: t.IO[t.Any], + encoding: str | None, + errors: str | None, + force_readable: bool = False, +) -> t.TextIO: + return _force_correct_text_stream( + text_reader, + encoding, + errors, + _is_binary_reader, + _find_binary_reader, + force_readable=force_readable, + ) + + +def _force_correct_text_writer( + text_writer: t.IO[t.Any], + encoding: str | None, + errors: str | None, + force_writable: bool = False, +) -> t.TextIO: + return _force_correct_text_stream( + text_writer, + encoding, + errors, + _is_binary_writer, + _find_binary_writer, + force_writable=force_writable, + ) + + +def get_binary_stdin() -> t.BinaryIO: + reader = _find_binary_reader(sys.stdin) + if reader is None: + raise RuntimeError("Was not able to determine binary stream for sys.stdin.") + return reader + + +def get_binary_stdout() -> t.BinaryIO: + writer = _find_binary_writer(sys.stdout) + if writer is None: + raise RuntimeError("Was not able to determine binary stream for sys.stdout.") + return writer + + +def get_binary_stderr() -> t.BinaryIO: + writer = _find_binary_writer(sys.stderr) + if writer is None: + raise RuntimeError("Was not able to determine binary stream for sys.stderr.") + return writer + + +def get_text_stdin(encoding: str | None = None, errors: str | None = None) -> t.TextIO: + rv = _get_windows_console_stream(sys.stdin, encoding, errors) + if rv is not None: + return rv + return _force_correct_text_reader(sys.stdin, encoding, errors, force_readable=True) + + +def get_text_stdout(encoding: str | None = None, errors: str | None = None) -> t.TextIO: + rv = _get_windows_console_stream(sys.stdout, encoding, errors) + if rv is not None: + return rv + return _force_correct_text_writer(sys.stdout, encoding, errors, force_writable=True) + + +def get_text_stderr(encoding: str | None = None, errors: str | None = None) -> t.TextIO: + rv = _get_windows_console_stream(sys.stderr, encoding, errors) + if rv is not None: + return rv + return _force_correct_text_writer(sys.stderr, encoding, errors, force_writable=True) + + +def _wrap_io_open( + file: str | os.PathLike[str] | int, + mode: str, + encoding: str | None, + errors: str | None, +) -> t.IO[t.Any]: + """Handles not passing ``encoding`` and ``errors`` in binary mode.""" + if "b" in mode: + return open(file, mode) + + return open(file, mode, encoding=encoding, errors=errors) + + +def open_stream( + filename: str | os.PathLike[str], + mode: str = "r", + encoding: str | None = None, + errors: str | None = "strict", + atomic: bool = False, +) -> tuple[t.IO[t.Any], bool]: + binary = "b" in mode + filename = os.fspath(filename) + + # Standard streams first. These are simple because they ignore the + # atomic flag. Use fsdecode to handle Path("-"). + if os.fsdecode(filename) == "-": + if any(m in mode for m in ["w", "a", "x"]): + if binary: + return get_binary_stdout(), False + return get_text_stdout(encoding=encoding, errors=errors), False + if binary: + return get_binary_stdin(), False + return get_text_stdin(encoding=encoding, errors=errors), False + + # Non-atomic writes directly go out through the regular open functions. + if not atomic: + return _wrap_io_open(filename, mode, encoding, errors), True + + # Some usability stuff for atomic writes + if "a" in mode: + raise ValueError( + "Appending to an existing file is not supported, because that" + " would involve an expensive `copy`-operation to a temporary" + " file. Open the file in normal `w`-mode and copy explicitly" + " if that's what you're after." + ) + if "x" in mode: + raise ValueError("Use the `overwrite`-parameter instead.") + if "w" not in mode: + raise ValueError("Atomic writes only make sense with `w`-mode.") + + # Atomic writes are more complicated. They work by opening a file + # as a proxy in the same folder and then using the fdopen + # functionality to wrap it in a Python file. Then we wrap it in an + # atomic file that moves the file over on close. + import errno + import random + + try: + perm: int | None = os.stat(filename).st_mode + except OSError: + perm = None + + flags = os.O_RDWR | os.O_CREAT | os.O_EXCL + + if binary: + flags |= getattr(os, "O_BINARY", 0) + + while True: + tmp_filename = os.path.join( + os.path.dirname(filename), + f".__atomic-write{random.randrange(1 << 32):08x}", + ) + try: + fd = os.open(tmp_filename, flags, 0o666 if perm is None else perm) + break + except OSError as e: + if e.errno == errno.EEXIST or ( + os.name == "nt" + and e.errno == errno.EACCES + and os.path.isdir(e.filename) + and os.access(e.filename, os.W_OK) + ): + continue + raise + + if perm is not None: + os.chmod(tmp_filename, perm) # in case perm includes bits in umask + + f = _wrap_io_open(fd, mode, encoding, errors) + af = _AtomicFile(f, tmp_filename, os.path.realpath(filename)) + return t.cast(t.IO[t.Any], af), True + + +class _AtomicFile: + def __init__(self, f: t.IO[t.Any], tmp_filename: str, real_filename: str) -> None: + self._f = f + self._tmp_filename = tmp_filename + self._real_filename = real_filename + self.closed = False + + @property + def name(self) -> str: + return self._real_filename + + def close(self, delete: bool = False) -> None: + if self.closed: + return + self._f.close() + os.replace(self._tmp_filename, self._real_filename) + self.closed = True + + def __getattr__(self, name: str) -> t.Any: + return getattr(self._f, name) + + def __enter__(self) -> _AtomicFile: + return self + + def __exit__( + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + tb: TracebackType | None, + ) -> None: + self.close(delete=exc_type is not None) + + def __repr__(self) -> str: + return repr(self._f) + + +def strip_ansi(value: str) -> str: + return _ansi_re.sub("", value) + + +def _is_jupyter_kernel_output(stream: t.IO[t.Any]) -> bool: + while isinstance(stream, (_FixupStream, _NonClosingTextIOWrapper)): + stream = stream._stream + + return stream.__class__.__module__.startswith("ipykernel.") + + +def should_strip_ansi( + stream: t.IO[t.Any] | None = None, color: bool | None = None +) -> bool: + if color is None: + if stream is None: + stream = sys.stdin + return not isatty(stream) and not _is_jupyter_kernel_output(stream) + return not color + + +# On Windows, wrap the output streams with colorama to support ANSI +# color codes. +# NOTE: double check is needed so mypy does not analyze this on Linux +if sys.platform.startswith("win") and WIN: + from ._winconsole import _get_windows_console_stream + + def _get_argv_encoding() -> str: + import locale + + return locale.getpreferredencoding() + + _ansi_stream_wrappers: cabc.MutableMapping[t.TextIO, t.TextIO] = WeakKeyDictionary() + + def auto_wrap_for_ansi(stream: t.TextIO, color: bool | None = None) -> t.TextIO: + """Support ANSI color and style codes on Windows by wrapping a + stream with colorama. + """ + try: + cached = _ansi_stream_wrappers.get(stream) + except Exception: + cached = None + + if cached is not None: + return cached + + import colorama + + strip = should_strip_ansi(stream, color) + ansi_wrapper = colorama.AnsiToWin32(stream, strip=strip) + rv = t.cast(t.TextIO, ansi_wrapper.stream) + _write = rv.write + + def _safe_write(s: str) -> int: + try: + return _write(s) + except BaseException: + ansi_wrapper.reset_all() + raise + + rv.write = _safe_write # type: ignore[method-assign] + + try: + _ansi_stream_wrappers[stream] = rv + except Exception: + pass + + return rv + +else: + + def _get_argv_encoding() -> str: + return getattr(sys.stdin, "encoding", None) or sys.getfilesystemencoding() + + def _get_windows_console_stream( + f: t.TextIO, encoding: str | None, errors: str | None + ) -> t.TextIO | None: + return None + + +def term_len(x: str) -> int: + return len(strip_ansi(x)) + + +def isatty(stream: t.IO[t.Any]) -> bool: + try: + return stream.isatty() + except Exception: + return False + + +def _make_cached_stream_func( + src_func: t.Callable[[], t.TextIO | None], + wrapper_func: t.Callable[[], t.TextIO], +) -> t.Callable[[], t.TextIO | None]: + cache: cabc.MutableMapping[t.TextIO, t.TextIO] = WeakKeyDictionary() + + def func() -> t.TextIO | None: + stream = src_func() + + if stream is None: + return None + + try: + rv = cache.get(stream) + except Exception: + rv = None + if rv is not None: + return rv + rv = wrapper_func() + try: + cache[stream] = rv + except Exception: + pass + return rv + + return func + + +_default_text_stdin = _make_cached_stream_func(lambda: sys.stdin, get_text_stdin) +_default_text_stdout = _make_cached_stream_func(lambda: sys.stdout, get_text_stdout) +_default_text_stderr = _make_cached_stream_func(lambda: sys.stderr, get_text_stderr) + + +binary_streams: cabc.Mapping[str, t.Callable[[], t.BinaryIO]] = { + "stdin": get_binary_stdin, + "stdout": get_binary_stdout, + "stderr": get_binary_stderr, +} + +text_streams: cabc.Mapping[str, t.Callable[[str | None, str | None], t.TextIO]] = { + "stdin": get_text_stdin, + "stdout": get_text_stdout, + "stderr": get_text_stderr, +} diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_termui_impl.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_termui_impl.py new file mode 100644 index 0000000000000000000000000000000000000000..ee8225c4c29344e6c672800f97f65322d245e166 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_termui_impl.py @@ -0,0 +1,852 @@ +""" +This module contains implementations for the termui module. To keep the +import time of Click down, some infrequently used functionality is +placed in this module and only imported as needed. +""" + +from __future__ import annotations + +import collections.abc as cabc +import contextlib +import math +import os +import shlex +import sys +import time +import typing as t +from gettext import gettext as _ +from io import StringIO +from pathlib import Path +from types import TracebackType + +from ._compat import _default_text_stdout +from ._compat import CYGWIN +from ._compat import get_best_encoding +from ._compat import isatty +from ._compat import open_stream +from ._compat import strip_ansi +from ._compat import term_len +from ._compat import WIN +from .exceptions import ClickException +from .utils import echo + +V = t.TypeVar("V") + +if os.name == "nt": + BEFORE_BAR = "\r" + AFTER_BAR = "\n" +else: + BEFORE_BAR = "\r\033[?25l" + AFTER_BAR = "\033[?25h\n" + + +class ProgressBar(t.Generic[V]): + def __init__( + self, + iterable: cabc.Iterable[V] | None, + length: int | None = None, + fill_char: str = "#", + empty_char: str = " ", + bar_template: str = "%(bar)s", + info_sep: str = " ", + hidden: bool = False, + show_eta: bool = True, + show_percent: bool | None = None, + show_pos: bool = False, + item_show_func: t.Callable[[V | None], str | None] | None = None, + label: str | None = None, + file: t.TextIO | None = None, + color: bool | None = None, + update_min_steps: int = 1, + width: int = 30, + ) -> None: + self.fill_char = fill_char + self.empty_char = empty_char + self.bar_template = bar_template + self.info_sep = info_sep + self.hidden = hidden + self.show_eta = show_eta + self.show_percent = show_percent + self.show_pos = show_pos + self.item_show_func = item_show_func + self.label: str = label or "" + + if file is None: + file = _default_text_stdout() + + # There are no standard streams attached to write to. For example, + # pythonw on Windows. + if file is None: + file = StringIO() + + self.file = file + self.color = color + self.update_min_steps = update_min_steps + self._completed_intervals = 0 + self.width: int = width + self.autowidth: bool = width == 0 + + if length is None: + from operator import length_hint + + length = length_hint(iterable, -1) + + if length == -1: + length = None + if iterable is None: + if length is None: + raise TypeError("iterable or length is required") + iterable = t.cast("cabc.Iterable[V]", range(length)) + self.iter: cabc.Iterable[V] = iter(iterable) + self.length = length + self.pos: int = 0 + self.avg: list[float] = [] + self.last_eta: float + self.start: float + self.start = self.last_eta = time.time() + self.eta_known: bool = False + self.finished: bool = False + self.max_width: int | None = None + self.entered: bool = False + self.current_item: V | None = None + self._is_atty = isatty(self.file) + self._last_line: str | None = None + + def __enter__(self) -> ProgressBar[V]: + self.entered = True + self.render_progress() + return self + + def __exit__( + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + tb: TracebackType | None, + ) -> None: + self.render_finish() + + def __iter__(self) -> cabc.Iterator[V]: + if not self.entered: + raise RuntimeError("You need to use progress bars in a with block.") + self.render_progress() + return self.generator() + + def __next__(self) -> V: + # Iteration is defined in terms of a generator function, + # returned by iter(self); use that to define next(). This works + # because `self.iter` is an iterable consumed by that generator, + # so it is re-entry safe. Calling `next(self.generator())` + # twice works and does "what you want". + return next(iter(self)) + + def render_finish(self) -> None: + if self.hidden or not self._is_atty: + return + self.file.write(AFTER_BAR) + self.file.flush() + + @property + def pct(self) -> float: + if self.finished: + return 1.0 + return min(self.pos / (float(self.length or 1) or 1), 1.0) + + @property + def time_per_iteration(self) -> float: + if not self.avg: + return 0.0 + return sum(self.avg) / float(len(self.avg)) + + @property + def eta(self) -> float: + if self.length is not None and not self.finished: + return self.time_per_iteration * (self.length - self.pos) + return 0.0 + + def format_eta(self) -> str: + if self.eta_known: + t = int(self.eta) + seconds = t % 60 + t //= 60 + minutes = t % 60 + t //= 60 + hours = t % 24 + t //= 24 + if t > 0: + return f"{t}d {hours:02}:{minutes:02}:{seconds:02}" + else: + return f"{hours:02}:{minutes:02}:{seconds:02}" + return "" + + def format_pos(self) -> str: + pos = str(self.pos) + if self.length is not None: + pos += f"/{self.length}" + return pos + + def format_pct(self) -> str: + return f"{int(self.pct * 100): 4}%"[1:] + + def format_bar(self) -> str: + if self.length is not None: + bar_length = int(self.pct * self.width) + bar = self.fill_char * bar_length + bar += self.empty_char * (self.width - bar_length) + elif self.finished: + bar = self.fill_char * self.width + else: + chars = list(self.empty_char * (self.width or 1)) + if self.time_per_iteration != 0: + chars[ + int( + (math.cos(self.pos * self.time_per_iteration) / 2.0 + 0.5) + * self.width + ) + ] = self.fill_char + bar = "".join(chars) + return bar + + def format_progress_line(self) -> str: + show_percent = self.show_percent + + info_bits = [] + if self.length is not None and show_percent is None: + show_percent = not self.show_pos + + if self.show_pos: + info_bits.append(self.format_pos()) + if show_percent: + info_bits.append(self.format_pct()) + if self.show_eta and self.eta_known and not self.finished: + info_bits.append(self.format_eta()) + if self.item_show_func is not None: + item_info = self.item_show_func(self.current_item) + if item_info is not None: + info_bits.append(item_info) + + return ( + self.bar_template + % { + "label": self.label, + "bar": self.format_bar(), + "info": self.info_sep.join(info_bits), + } + ).rstrip() + + def render_progress(self) -> None: + if self.hidden: + return + + if not self._is_atty: + # Only output the label once if the output is not a TTY. + if self._last_line != self.label: + self._last_line = self.label + echo(self.label, file=self.file, color=self.color) + return + + buf = [] + # Update width in case the terminal has been resized + if self.autowidth: + import shutil + + old_width = self.width + self.width = 0 + clutter_length = term_len(self.format_progress_line()) + new_width = max(0, shutil.get_terminal_size().columns - clutter_length) + if new_width < old_width and self.max_width is not None: + buf.append(BEFORE_BAR) + buf.append(" " * self.max_width) + self.max_width = new_width + self.width = new_width + + clear_width = self.width + if self.max_width is not None: + clear_width = self.max_width + + buf.append(BEFORE_BAR) + line = self.format_progress_line() + line_len = term_len(line) + if self.max_width is None or self.max_width < line_len: + self.max_width = line_len + + buf.append(line) + buf.append(" " * (clear_width - line_len)) + line = "".join(buf) + # Render the line only if it changed. + + if line != self._last_line: + self._last_line = line + echo(line, file=self.file, color=self.color, nl=False) + self.file.flush() + + def make_step(self, n_steps: int) -> None: + self.pos += n_steps + if self.length is not None and self.pos >= self.length: + self.finished = True + + if (time.time() - self.last_eta) < 1.0: + return + + self.last_eta = time.time() + + # self.avg is a rolling list of length <= 7 of steps where steps are + # defined as time elapsed divided by the total progress through + # self.length. + if self.pos: + step = (time.time() - self.start) / self.pos + else: + step = time.time() - self.start + + self.avg = self.avg[-6:] + [step] + + self.eta_known = self.length is not None + + def update(self, n_steps: int, current_item: V | None = None) -> None: + """Update the progress bar by advancing a specified number of + steps, and optionally set the ``current_item`` for this new + position. + + :param n_steps: Number of steps to advance. + :param current_item: Optional item to set as ``current_item`` + for the updated position. + + .. versionchanged:: 8.0 + Added the ``current_item`` optional parameter. + + .. versionchanged:: 8.0 + Only render when the number of steps meets the + ``update_min_steps`` threshold. + """ + if current_item is not None: + self.current_item = current_item + + self._completed_intervals += n_steps + + if self._completed_intervals >= self.update_min_steps: + self.make_step(self._completed_intervals) + self.render_progress() + self._completed_intervals = 0 + + def finish(self) -> None: + self.eta_known = False + self.current_item = None + self.finished = True + + def generator(self) -> cabc.Iterator[V]: + """Return a generator which yields the items added to the bar + during construction, and updates the progress bar *after* the + yielded block returns. + """ + # WARNING: the iterator interface for `ProgressBar` relies on + # this and only works because this is a simple generator which + # doesn't create or manage additional state. If this function + # changes, the impact should be evaluated both against + # `iter(bar)` and `next(bar)`. `next()` in particular may call + # `self.generator()` repeatedly, and this must remain safe in + # order for that interface to work. + if not self.entered: + raise RuntimeError("You need to use progress bars in a with block.") + + if not self._is_atty: + yield from self.iter + else: + for rv in self.iter: + self.current_item = rv + + # This allows show_item_func to be updated before the + # item is processed. Only trigger at the beginning of + # the update interval. + if self._completed_intervals == 0: + self.render_progress() + + yield rv + self.update(1) + + self.finish() + self.render_progress() + + +def pager(generator: cabc.Iterable[str], color: bool | None = None) -> None: + """Decide what method to use for paging through text.""" + stdout = _default_text_stdout() + + # There are no standard streams attached to write to. For example, + # pythonw on Windows. + if stdout is None: + stdout = StringIO() + + if not isatty(sys.stdin) or not isatty(stdout): + return _nullpager(stdout, generator, color) + + # Split and normalize the pager command into parts. + pager_cmd_parts = shlex.split(os.environ.get("PAGER", ""), posix=False) + if pager_cmd_parts: + if WIN: + if _tempfilepager(generator, pager_cmd_parts, color): + return + elif _pipepager(generator, pager_cmd_parts, color): + return + + if os.environ.get("TERM") in ("dumb", "emacs"): + return _nullpager(stdout, generator, color) + if (WIN or sys.platform.startswith("os2")) and _tempfilepager( + generator, ["more"], color + ): + return + if _pipepager(generator, ["less"], color): + return + + import tempfile + + fd, filename = tempfile.mkstemp() + os.close(fd) + try: + if _pipepager(generator, ["more"], color): + return + return _nullpager(stdout, generator, color) + finally: + os.unlink(filename) + + +def _pipepager( + generator: cabc.Iterable[str], cmd_parts: list[str], color: bool | None +) -> bool: + """Page through text by feeding it to another program. Invoking a + pager through this might support colors. + + Returns `True` if the command was found, `False` otherwise and thus another + pager should be attempted. + """ + # Split the command into the invoked CLI and its parameters. + if not cmd_parts: + return False + + import shutil + + cmd = cmd_parts[0] + cmd_params = cmd_parts[1:] + + cmd_filepath = shutil.which(cmd) + if not cmd_filepath: + return False + + # Produces a normalized absolute path string. + # multi-call binaries such as busybox derive their identity from the symlink + # less -> busybox. resolve() causes them to misbehave. (eg. less becomes busybox) + cmd_path = Path(cmd_filepath).absolute() + cmd_name = cmd_path.name + + import subprocess + + # Make a local copy of the environment to not affect the global one. + env = dict(os.environ) + + # If we're piping to less and the user hasn't decided on colors, we enable + # them by default we find the -R flag in the command line arguments. + if color is None and cmd_name == "less": + less_flags = f"{os.environ.get('LESS', '')}{' '.join(cmd_params)}" + if not less_flags: + env["LESS"] = "-R" + color = True + elif "r" in less_flags or "R" in less_flags: + color = True + + c = subprocess.Popen( + [str(cmd_path)] + cmd_params, + shell=False, + stdin=subprocess.PIPE, + env=env, + errors="replace", + text=True, + ) + assert c.stdin is not None + try: + for text in generator: + if not color: + text = strip_ansi(text) + + c.stdin.write(text) + except BrokenPipeError: + # In case the pager exited unexpectedly, ignore the broken pipe error. + pass + except Exception as e: + # In case there is an exception we want to close the pager immediately + # and let the caller handle it. + # Otherwise the pager will keep running, and the user may not notice + # the error message, or worse yet it may leave the terminal in a broken state. + c.terminate() + raise e + finally: + # We must close stdin and wait for the pager to exit before we continue + try: + c.stdin.close() + # Close implies flush, so it might throw a BrokenPipeError if the pager + # process exited already. + except BrokenPipeError: + pass + + # Less doesn't respect ^C, but catches it for its own UI purposes (aborting + # search or other commands inside less). + # + # That means when the user hits ^C, the parent process (click) terminates, + # but less is still alive, paging the output and messing up the terminal. + # + # If the user wants to make the pager exit on ^C, they should set + # `LESS='-K'`. It's not our decision to make. + while True: + try: + c.wait() + except KeyboardInterrupt: + pass + else: + break + + return True + + +def _tempfilepager( + generator: cabc.Iterable[str], cmd_parts: list[str], color: bool | None +) -> bool: + """Page through text by invoking a program on a temporary file. + + Returns `True` if the command was found, `False` otherwise and thus another + pager should be attempted. + """ + # Split the command into the invoked CLI and its parameters. + if not cmd_parts: + return False + + import shutil + + cmd = cmd_parts[0] + + cmd_filepath = shutil.which(cmd) + if not cmd_filepath: + return False + # Produces a normalized absolute path string. + # multi-call binaries such as busybox derive their identity from the symlink + # less -> busybox. resolve() causes them to misbehave. (eg. less becomes busybox) + cmd_path = Path(cmd_filepath).absolute() + + import subprocess + import tempfile + + fd, filename = tempfile.mkstemp() + # TODO: This never terminates if the passed generator never terminates. + text = "".join(generator) + if not color: + text = strip_ansi(text) + encoding = get_best_encoding(sys.stdout) + with open_stream(filename, "wb")[0] as f: + f.write(text.encode(encoding)) + try: + subprocess.call([str(cmd_path), filename]) + except OSError: + # Command not found + pass + finally: + os.close(fd) + os.unlink(filename) + + return True + + +def _nullpager( + stream: t.TextIO, generator: cabc.Iterable[str], color: bool | None +) -> None: + """Simply print unformatted text. This is the ultimate fallback.""" + for text in generator: + if not color: + text = strip_ansi(text) + stream.write(text) + + +class Editor: + def __init__( + self, + editor: str | None = None, + env: cabc.Mapping[str, str] | None = None, + require_save: bool = True, + extension: str = ".txt", + ) -> None: + self.editor = editor + self.env = env + self.require_save = require_save + self.extension = extension + + def get_editor(self) -> str: + if self.editor is not None: + return self.editor + for key in "VISUAL", "EDITOR": + rv = os.environ.get(key) + if rv: + return rv + if WIN: + return "notepad" + + from shutil import which + + for editor in "sensible-editor", "vim", "nano": + if which(editor) is not None: + return editor + return "vi" + + def edit_files(self, filenames: cabc.Iterable[str]) -> None: + import subprocess + + editor = self.get_editor() + environ: dict[str, str] | None = None + + if self.env: + environ = os.environ.copy() + environ.update(self.env) + + exc_filename = " ".join(f'"{filename}"' for filename in filenames) + + try: + c = subprocess.Popen( + args=f"{editor} {exc_filename}", env=environ, shell=True + ) + exit_code = c.wait() + if exit_code != 0: + raise ClickException( + _("{editor}: Editing failed").format(editor=editor) + ) + except OSError as e: + raise ClickException( + _("{editor}: Editing failed: {e}").format(editor=editor, e=e) + ) from e + + @t.overload + def edit(self, text: bytes | bytearray) -> bytes | None: ... + + # We cannot know whether or not the type expected is str or bytes when None + # is passed, so str is returned as that was what was done before. + @t.overload + def edit(self, text: str | None) -> str | None: ... + + def edit(self, text: str | bytes | bytearray | None) -> str | bytes | None: + import tempfile + + if text is None: + data: bytes | bytearray = b"" + elif isinstance(text, (bytes, bytearray)): + data = text + else: + if text and not text.endswith("\n"): + text += "\n" + + if WIN: + data = text.replace("\n", "\r\n").encode("utf-8-sig") + else: + data = text.encode("utf-8") + + fd, name = tempfile.mkstemp(prefix="editor-", suffix=self.extension) + f: t.BinaryIO + + try: + with os.fdopen(fd, "wb") as f: + f.write(data) + + # If the filesystem resolution is 1 second, like Mac OS + # 10.12 Extended, or 2 seconds, like FAT32, and the editor + # closes very fast, require_save can fail. Set the modified + # time to be 2 seconds in the past to work around this. + os.utime(name, (os.path.getatime(name), os.path.getmtime(name) - 2)) + # Depending on the resolution, the exact value might not be + # recorded, so get the new recorded value. + timestamp = os.path.getmtime(name) + + self.edit_files((name,)) + + if self.require_save and os.path.getmtime(name) == timestamp: + return None + + with open(name, "rb") as f: + rv = f.read() + + if isinstance(text, (bytes, bytearray)): + return rv + + return rv.decode("utf-8-sig").replace("\r\n", "\n") + finally: + os.unlink(name) + + +def open_url(url: str, wait: bool = False, locate: bool = False) -> int: + import subprocess + + def _unquote_file(url: str) -> str: + from urllib.parse import unquote + + if url.startswith("file://"): + url = unquote(url[7:]) + + return url + + if sys.platform == "darwin": + args = ["open"] + if wait: + args.append("-W") + if locate: + args.append("-R") + args.append(_unquote_file(url)) + null = open("/dev/null", "w") + try: + return subprocess.Popen(args, stderr=null).wait() + finally: + null.close() + elif WIN: + if locate: + url = _unquote_file(url) + args = ["explorer", f"/select,{url}"] + else: + args = ["start"] + if wait: + args.append("/WAIT") + args.append("") + args.append(url) + try: + return subprocess.call(args) + except OSError: + # Command not found + return 127 + elif CYGWIN: + if locate: + url = _unquote_file(url) + args = ["cygstart", os.path.dirname(url)] + else: + args = ["cygstart"] + if wait: + args.append("-w") + args.append(url) + try: + return subprocess.call(args) + except OSError: + # Command not found + return 127 + + try: + if locate: + url = os.path.dirname(_unquote_file(url)) or "." + else: + url = _unquote_file(url) + c = subprocess.Popen(["xdg-open", url]) + if wait: + return c.wait() + return 0 + except OSError: + if url.startswith(("http://", "https://")) and not locate and not wait: + import webbrowser + + webbrowser.open(url) + return 0 + return 1 + + +def _translate_ch_to_exc(ch: str) -> None: + if ch == "\x03": + raise KeyboardInterrupt() + + if ch == "\x04" and not WIN: # Unix-like, Ctrl+D + raise EOFError() + + if ch == "\x1a" and WIN: # Windows, Ctrl+Z + raise EOFError() + + return None + + +if sys.platform == "win32": + import msvcrt + + @contextlib.contextmanager + def raw_terminal() -> cabc.Iterator[int]: + yield -1 + + def getchar(echo: bool) -> str: + # The function `getch` will return a bytes object corresponding to + # the pressed character. Since Windows 10 build 1803, it will also + # return \x00 when called a second time after pressing a regular key. + # + # `getwch` does not share this probably-bugged behavior. Moreover, it + # returns a Unicode object by default, which is what we want. + # + # Either of these functions will return \x00 or \xe0 to indicate + # a special key, and you need to call the same function again to get + # the "rest" of the code. The fun part is that \u00e0 is + # "latin small letter a with grave", so if you type that on a French + # keyboard, you _also_ get a \xe0. + # E.g., consider the Up arrow. This returns \xe0 and then \x48. The + # resulting Unicode string reads as "a with grave" + "capital H". + # This is indistinguishable from when the user actually types + # "a with grave" and then "capital H". + # + # When \xe0 is returned, we assume it's part of a special-key sequence + # and call `getwch` again, but that means that when the user types + # the \u00e0 character, `getchar` doesn't return until a second + # character is typed. + # The alternative is returning immediately, but that would mess up + # cross-platform handling of arrow keys and others that start with + # \xe0. Another option is using `getch`, but then we can't reliably + # read non-ASCII characters, because return values of `getch` are + # limited to the current 8-bit codepage. + # + # Anyway, Click doesn't claim to do this Right(tm), and using `getwch` + # is doing the right thing in more situations than with `getch`. + + if echo: + func = t.cast(t.Callable[[], str], msvcrt.getwche) + else: + func = t.cast(t.Callable[[], str], msvcrt.getwch) + + rv = func() + + if rv in ("\x00", "\xe0"): + # \x00 and \xe0 are control characters that indicate special key, + # see above. + rv += func() + + _translate_ch_to_exc(rv) + return rv + +else: + import termios + import tty + + @contextlib.contextmanager + def raw_terminal() -> cabc.Iterator[int]: + f: t.TextIO | None + fd: int + + if not isatty(sys.stdin): + f = open("/dev/tty") + fd = f.fileno() + else: + fd = sys.stdin.fileno() + f = None + + try: + old_settings = termios.tcgetattr(fd) + + try: + tty.setraw(fd) + yield fd + finally: + termios.tcsetattr(fd, termios.TCSADRAIN, old_settings) + sys.stdout.flush() + + if f is not None: + f.close() + except termios.error: + pass + + def getchar(echo: bool) -> str: + with raw_terminal() as fd: + ch = os.read(fd, 32).decode(get_best_encoding(sys.stdin), "replace") + + if echo and isatty(sys.stdout): + sys.stdout.write(ch) + + _translate_ch_to_exc(ch) + return ch diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_textwrap.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_textwrap.py new file mode 100644 index 0000000000000000000000000000000000000000..97fbee3dc6ce372600e702d38d9139bcf6a40bec --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_textwrap.py @@ -0,0 +1,51 @@ +from __future__ import annotations + +import collections.abc as cabc +import textwrap +from contextlib import contextmanager + + +class TextWrapper(textwrap.TextWrapper): + def _handle_long_word( + self, + reversed_chunks: list[str], + cur_line: list[str], + cur_len: int, + width: int, + ) -> None: + space_left = max(width - cur_len, 1) + + if self.break_long_words: + last = reversed_chunks[-1] + cut = last[:space_left] + res = last[space_left:] + cur_line.append(cut) + reversed_chunks[-1] = res + elif not cur_line: + cur_line.append(reversed_chunks.pop()) + + @contextmanager + def extra_indent(self, indent: str) -> cabc.Iterator[None]: + old_initial_indent = self.initial_indent + old_subsequent_indent = self.subsequent_indent + self.initial_indent += indent + self.subsequent_indent += indent + + try: + yield + finally: + self.initial_indent = old_initial_indent + self.subsequent_indent = old_subsequent_indent + + def indent_only(self, text: str) -> str: + rv = [] + + for idx, line in enumerate(text.splitlines()): + indent = self.initial_indent + + if idx > 0: + indent = self.subsequent_indent + + rv.append(f"{indent}{line}") + + return "\n".join(rv) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..09fb00855e68840d18187f3de3a604e7defc37e8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_utils.py @@ -0,0 +1,36 @@ +from __future__ import annotations + +import enum +import typing as t + + +class Sentinel(enum.Enum): + """Enum used to define sentinel values. + + .. seealso:: + + `PEP 661 - Sentinel Values `_. + """ + + UNSET = object() + FLAG_NEEDS_VALUE = object() + + def __repr__(self) -> str: + return f"{self.__class__.__name__}.{self.name}" + + +UNSET = Sentinel.UNSET +"""Sentinel used to indicate that a value is not set.""" + +FLAG_NEEDS_VALUE = Sentinel.FLAG_NEEDS_VALUE +"""Sentinel used to indicate an option was passed as a flag without a +value but is not a flag option. + +``Option.consume_value`` uses this to prompt or use the ``flag_value``. +""" + +T_UNSET = t.Literal[UNSET] # type: ignore[valid-type] +"""Type hint for the :data:`UNSET` sentinel value.""" + +T_FLAG_NEEDS_VALUE = t.Literal[FLAG_NEEDS_VALUE] # type: ignore[valid-type] +"""Type hint for the :data:`FLAG_NEEDS_VALUE` sentinel value.""" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_winconsole.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_winconsole.py new file mode 100644 index 0000000000000000000000000000000000000000..e56c7c6ae7ee7e577db6ace659cd58c0c652074c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/_winconsole.py @@ -0,0 +1,296 @@ +# This module is based on the excellent work by Adam Bartoš who +# provided a lot of what went into the implementation here in +# the discussion to issue1602 in the Python bug tracker. +# +# There are some general differences in regards to how this works +# compared to the original patches as we do not need to patch +# the entire interpreter but just work in our little world of +# echo and prompt. +from __future__ import annotations + +import collections.abc as cabc +import io +import sys +import time +import typing as t +from ctypes import Array +from ctypes import byref +from ctypes import c_char +from ctypes import c_char_p +from ctypes import c_int +from ctypes import c_ssize_t +from ctypes import c_ulong +from ctypes import c_void_p +from ctypes import POINTER +from ctypes import py_object +from ctypes import Structure +from ctypes.wintypes import DWORD +from ctypes.wintypes import HANDLE +from ctypes.wintypes import LPCWSTR +from ctypes.wintypes import LPWSTR + +from ._compat import _NonClosingTextIOWrapper + +assert sys.platform == "win32" +import msvcrt # noqa: E402 +from ctypes import windll # noqa: E402 +from ctypes import WINFUNCTYPE # noqa: E402 + +c_ssize_p = POINTER(c_ssize_t) + +kernel32 = windll.kernel32 +GetStdHandle = kernel32.GetStdHandle +ReadConsoleW = kernel32.ReadConsoleW +WriteConsoleW = kernel32.WriteConsoleW +GetConsoleMode = kernel32.GetConsoleMode +GetLastError = kernel32.GetLastError +GetCommandLineW = WINFUNCTYPE(LPWSTR)(("GetCommandLineW", windll.kernel32)) +CommandLineToArgvW = WINFUNCTYPE(POINTER(LPWSTR), LPCWSTR, POINTER(c_int))( + ("CommandLineToArgvW", windll.shell32) +) +LocalFree = WINFUNCTYPE(c_void_p, c_void_p)(("LocalFree", windll.kernel32)) + +STDIN_HANDLE = GetStdHandle(-10) +STDOUT_HANDLE = GetStdHandle(-11) +STDERR_HANDLE = GetStdHandle(-12) + +PyBUF_SIMPLE = 0 +PyBUF_WRITABLE = 1 + +ERROR_SUCCESS = 0 +ERROR_NOT_ENOUGH_MEMORY = 8 +ERROR_OPERATION_ABORTED = 995 + +STDIN_FILENO = 0 +STDOUT_FILENO = 1 +STDERR_FILENO = 2 + +EOF = b"\x1a" +MAX_BYTES_WRITTEN = 32767 + +if t.TYPE_CHECKING: + try: + # Using `typing_extensions.Buffer` instead of `collections.abc` + # on Windows for some reason does not have `Sized` implemented. + from collections.abc import Buffer # type: ignore + except ImportError: + from typing_extensions import Buffer + +try: + from ctypes import pythonapi +except ImportError: + # On PyPy we cannot get buffers so our ability to operate here is + # severely limited. + get_buffer = None +else: + + class Py_buffer(Structure): + _fields_ = [ # noqa: RUF012 + ("buf", c_void_p), + ("obj", py_object), + ("len", c_ssize_t), + ("itemsize", c_ssize_t), + ("readonly", c_int), + ("ndim", c_int), + ("format", c_char_p), + ("shape", c_ssize_p), + ("strides", c_ssize_p), + ("suboffsets", c_ssize_p), + ("internal", c_void_p), + ] + + PyObject_GetBuffer = pythonapi.PyObject_GetBuffer + PyBuffer_Release = pythonapi.PyBuffer_Release + + def get_buffer(obj: Buffer, writable: bool = False) -> Array[c_char]: + buf = Py_buffer() + flags: int = PyBUF_WRITABLE if writable else PyBUF_SIMPLE + PyObject_GetBuffer(py_object(obj), byref(buf), flags) + + try: + buffer_type = c_char * buf.len + out: Array[c_char] = buffer_type.from_address(buf.buf) + return out + finally: + PyBuffer_Release(byref(buf)) + + +class _WindowsConsoleRawIOBase(io.RawIOBase): + def __init__(self, handle: int | None) -> None: + self.handle = handle + + def isatty(self) -> t.Literal[True]: + super().isatty() + return True + + +class _WindowsConsoleReader(_WindowsConsoleRawIOBase): + def readable(self) -> t.Literal[True]: + return True + + def readinto(self, b: Buffer) -> int: + bytes_to_be_read = len(b) + if not bytes_to_be_read: + return 0 + elif bytes_to_be_read % 2: + raise ValueError( + "cannot read odd number of bytes from UTF-16-LE encoded console" + ) + + buffer = get_buffer(b, writable=True) + code_units_to_be_read = bytes_to_be_read // 2 + code_units_read = c_ulong() + + rv = ReadConsoleW( + HANDLE(self.handle), + buffer, + code_units_to_be_read, + byref(code_units_read), + None, + ) + if GetLastError() == ERROR_OPERATION_ABORTED: + # wait for KeyboardInterrupt + time.sleep(0.1) + if not rv: + raise OSError(f"Windows error: {GetLastError()}") + + if buffer[0] == EOF: + return 0 + return 2 * code_units_read.value + + +class _WindowsConsoleWriter(_WindowsConsoleRawIOBase): + def writable(self) -> t.Literal[True]: + return True + + @staticmethod + def _get_error_message(errno: int) -> str: + if errno == ERROR_SUCCESS: + return "ERROR_SUCCESS" + elif errno == ERROR_NOT_ENOUGH_MEMORY: + return "ERROR_NOT_ENOUGH_MEMORY" + return f"Windows error {errno}" + + def write(self, b: Buffer) -> int: + bytes_to_be_written = len(b) + buf = get_buffer(b) + code_units_to_be_written = min(bytes_to_be_written, MAX_BYTES_WRITTEN) // 2 + code_units_written = c_ulong() + + WriteConsoleW( + HANDLE(self.handle), + buf, + code_units_to_be_written, + byref(code_units_written), + None, + ) + bytes_written = 2 * code_units_written.value + + if bytes_written == 0 and bytes_to_be_written > 0: + raise OSError(self._get_error_message(GetLastError())) + return bytes_written + + +class ConsoleStream: + def __init__(self, text_stream: t.TextIO, byte_stream: t.BinaryIO) -> None: + self._text_stream = text_stream + self.buffer = byte_stream + + @property + def name(self) -> str: + return self.buffer.name + + def write(self, x: t.AnyStr) -> int: + if isinstance(x, str): + return self._text_stream.write(x) + try: + self.flush() + except Exception: + pass + return self.buffer.write(x) + + def writelines(self, lines: cabc.Iterable[t.AnyStr]) -> None: + for line in lines: + self.write(line) + + def __getattr__(self, name: str) -> t.Any: + return getattr(self._text_stream, name) + + def isatty(self) -> bool: + return self.buffer.isatty() + + def __repr__(self) -> str: + return f"" + + +def _get_text_stdin(buffer_stream: t.BinaryIO) -> t.TextIO: + text_stream = _NonClosingTextIOWrapper( + io.BufferedReader(_WindowsConsoleReader(STDIN_HANDLE)), + "utf-16-le", + "strict", + line_buffering=True, + ) + return t.cast(t.TextIO, ConsoleStream(text_stream, buffer_stream)) + + +def _get_text_stdout(buffer_stream: t.BinaryIO) -> t.TextIO: + text_stream = _NonClosingTextIOWrapper( + io.BufferedWriter(_WindowsConsoleWriter(STDOUT_HANDLE)), + "utf-16-le", + "strict", + line_buffering=True, + ) + return t.cast(t.TextIO, ConsoleStream(text_stream, buffer_stream)) + + +def _get_text_stderr(buffer_stream: t.BinaryIO) -> t.TextIO: + text_stream = _NonClosingTextIOWrapper( + io.BufferedWriter(_WindowsConsoleWriter(STDERR_HANDLE)), + "utf-16-le", + "strict", + line_buffering=True, + ) + return t.cast(t.TextIO, ConsoleStream(text_stream, buffer_stream)) + + +_stream_factories: cabc.Mapping[int, t.Callable[[t.BinaryIO], t.TextIO]] = { + 0: _get_text_stdin, + 1: _get_text_stdout, + 2: _get_text_stderr, +} + + +def _is_console(f: t.TextIO) -> bool: + if not hasattr(f, "fileno"): + return False + + try: + fileno = f.fileno() + except (OSError, io.UnsupportedOperation): + return False + + handle = msvcrt.get_osfhandle(fileno) + return bool(GetConsoleMode(handle, byref(DWORD()))) + + +def _get_windows_console_stream( + f: t.TextIO, encoding: str | None, errors: str | None +) -> t.TextIO | None: + if ( + get_buffer is None + or encoding not in {"utf-16-le", None} + or errors not in {"strict", None} + or not _is_console(f) + ): + return None + + func = _stream_factories.get(f.fileno()) + if func is None: + return None + + b = getattr(f, "buffer", None) + + if b is None: + return None + + return func(b) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/core.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/core.py new file mode 100644 index 0000000000000000000000000000000000000000..57f549c7936beb8111d40bc90edd2ac74cacdd8d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/core.py @@ -0,0 +1,3415 @@ +from __future__ import annotations + +import collections.abc as cabc +import enum +import errno +import inspect +import os +import sys +import typing as t +from collections import abc +from collections import Counter +from contextlib import AbstractContextManager +from contextlib import contextmanager +from contextlib import ExitStack +from functools import update_wrapper +from gettext import gettext as _ +from gettext import ngettext +from itertools import repeat +from types import TracebackType + +from . import types +from ._utils import FLAG_NEEDS_VALUE +from ._utils import UNSET +from .exceptions import Abort +from .exceptions import BadParameter +from .exceptions import ClickException +from .exceptions import Exit +from .exceptions import MissingParameter +from .exceptions import NoArgsIsHelpError +from .exceptions import UsageError +from .formatting import HelpFormatter +from .formatting import join_options +from .globals import pop_context +from .globals import push_context +from .parser import _OptionParser +from .parser import _split_opt +from .termui import confirm +from .termui import prompt +from .termui import style +from .utils import _detect_program_name +from .utils import _expand_args +from .utils import echo +from .utils import make_default_short_help +from .utils import make_str +from .utils import PacifyFlushWrapper + +if t.TYPE_CHECKING: + from .shell_completion import CompletionItem + +F = t.TypeVar("F", bound="t.Callable[..., t.Any]") +V = t.TypeVar("V") + + +def _complete_visible_commands( + ctx: Context, incomplete: str +) -> cabc.Iterator[tuple[str, Command]]: + """List all the subcommands of a group that start with the + incomplete value and aren't hidden. + + :param ctx: Invocation context for the group. + :param incomplete: Value being completed. May be empty. + """ + multi = t.cast(Group, ctx.command) + + for name in multi.list_commands(ctx): + if name.startswith(incomplete): + command = multi.get_command(ctx, name) + + if command is not None and not command.hidden: + yield name, command + + +def _check_nested_chain( + base_command: Group, cmd_name: str, cmd: Command, register: bool = False +) -> None: + if not base_command.chain or not isinstance(cmd, Group): + return + + if register: + message = ( + f"It is not possible to add the group {cmd_name!r} to another" + f" group {base_command.name!r} that is in chain mode." + ) + else: + message = ( + f"Found the group {cmd_name!r} as subcommand to another group " + f" {base_command.name!r} that is in chain mode. This is not supported." + ) + + raise RuntimeError(message) + + +def batch(iterable: cabc.Iterable[V], batch_size: int) -> list[tuple[V, ...]]: + return list(zip(*repeat(iter(iterable), batch_size), strict=False)) + + +@contextmanager +def augment_usage_errors( + ctx: Context, param: Parameter | None = None +) -> cabc.Iterator[None]: + """Context manager that attaches extra information to exceptions.""" + try: + yield + except BadParameter as e: + if e.ctx is None: + e.ctx = ctx + if param is not None and e.param is None: + e.param = param + raise + except UsageError as e: + if e.ctx is None: + e.ctx = ctx + raise + + +def iter_params_for_processing( + invocation_order: cabc.Sequence[Parameter], + declaration_order: cabc.Sequence[Parameter], +) -> list[Parameter]: + """Returns all declared parameters in the order they should be processed. + + The declared parameters are re-shuffled depending on the order in which + they were invoked, as well as the eagerness of each parameters. + + The invocation order takes precedence over the declaration order. I.e. the + order in which the user provided them to the CLI is respected. + + This behavior and its effect on callback evaluation is detailed at: + https://click.palletsprojects.com/en/stable/advanced/#callback-evaluation-order + """ + + def sort_key(item: Parameter) -> tuple[bool, float]: + try: + idx: float = invocation_order.index(item) + except ValueError: + idx = float("inf") + + return not item.is_eager, idx + + return sorted(declaration_order, key=sort_key) + + +class ParameterSource(enum.Enum): + """This is an :class:`~enum.Enum` that indicates the source of a + parameter's value. + + Use :meth:`click.Context.get_parameter_source` to get the + source for a parameter by name. + + .. versionchanged:: 8.0 + Use :class:`~enum.Enum` and drop the ``validate`` method. + + .. versionchanged:: 8.0 + Added the ``PROMPT`` value. + """ + + COMMANDLINE = enum.auto() + """The value was provided by the command line args.""" + ENVIRONMENT = enum.auto() + """The value was provided with an environment variable.""" + DEFAULT = enum.auto() + """Used the default specified by the parameter.""" + DEFAULT_MAP = enum.auto() + """Used a default provided by :attr:`Context.default_map`.""" + PROMPT = enum.auto() + """Used a prompt to confirm a default or provide a value.""" + + +class Context: + """The context is a special internal object that holds state relevant + for the script execution at every single level. It's normally invisible + to commands unless they opt-in to getting access to it. + + The context is useful as it can pass internal objects around and can + control special execution features such as reading data from + environment variables. + + A context can be used as context manager in which case it will call + :meth:`close` on teardown. + + :param command: the command class for this context. + :param parent: the parent context. + :param info_name: the info name for this invocation. Generally this + is the most descriptive name for the script or + command. For the toplevel script it is usually + the name of the script, for commands below it it's + the name of the script. + :param obj: an arbitrary object of user data. + :param auto_envvar_prefix: the prefix to use for automatic environment + variables. If this is `None` then reading + from environment variables is disabled. This + does not affect manually set environment + variables which are always read. + :param default_map: a dictionary (like object) with default values + for parameters. + :param terminal_width: the width of the terminal. The default is + inherit from parent context. If no context + defines the terminal width then auto + detection will be applied. + :param max_content_width: the maximum width for content rendered by + Click (this currently only affects help + pages). This defaults to 80 characters if + not overridden. In other words: even if the + terminal is larger than that, Click will not + format things wider than 80 characters by + default. In addition to that, formatters might + add some safety mapping on the right. + :param resilient_parsing: if this flag is enabled then Click will + parse without any interactivity or callback + invocation. Default values will also be + ignored. This is useful for implementing + things such as completion support. + :param allow_extra_args: if this is set to `True` then extra arguments + at the end will not raise an error and will be + kept on the context. The default is to inherit + from the command. + :param allow_interspersed_args: if this is set to `False` then options + and arguments cannot be mixed. The + default is to inherit from the command. + :param ignore_unknown_options: instructs click to ignore options it does + not know and keeps them for later + processing. + :param help_option_names: optionally a list of strings that define how + the default help parameter is named. The + default is ``['--help']``. + :param token_normalize_func: an optional function that is used to + normalize tokens (options, choices, + etc.). This for instance can be used to + implement case insensitive behavior. + :param color: controls if the terminal supports ANSI colors or not. The + default is autodetection. This is only needed if ANSI + codes are used in texts that Click prints which is by + default not the case. This for instance would affect + help output. + :param show_default: Show the default value for commands. If this + value is not set, it defaults to the value from the parent + context. ``Command.show_default`` overrides this default for the + specific command. + + .. versionchanged:: 8.2 + The ``protected_args`` attribute is deprecated and will be removed in + Click 9.0. ``args`` will contain remaining unparsed tokens. + + .. versionchanged:: 8.1 + The ``show_default`` parameter is overridden by + ``Command.show_default``, instead of the other way around. + + .. versionchanged:: 8.0 + The ``show_default`` parameter defaults to the value from the + parent context. + + .. versionchanged:: 7.1 + Added the ``show_default`` parameter. + + .. versionchanged:: 4.0 + Added the ``color``, ``ignore_unknown_options``, and + ``max_content_width`` parameters. + + .. versionchanged:: 3.0 + Added the ``allow_extra_args`` and ``allow_interspersed_args`` + parameters. + + .. versionchanged:: 2.0 + Added the ``resilient_parsing``, ``help_option_names``, and + ``token_normalize_func`` parameters. + """ + + #: The formatter class to create with :meth:`make_formatter`. + #: + #: .. versionadded:: 8.0 + formatter_class: type[HelpFormatter] = HelpFormatter + + def __init__( + self, + command: Command, + parent: Context | None = None, + info_name: str | None = None, + obj: t.Any | None = None, + auto_envvar_prefix: str | None = None, + default_map: cabc.MutableMapping[str, t.Any] | None = None, + terminal_width: int | None = None, + max_content_width: int | None = None, + resilient_parsing: bool = False, + allow_extra_args: bool | None = None, + allow_interspersed_args: bool | None = None, + ignore_unknown_options: bool | None = None, + help_option_names: list[str] | None = None, + token_normalize_func: t.Callable[[str], str] | None = None, + color: bool | None = None, + show_default: bool | None = None, + ) -> None: + #: the parent context or `None` if none exists. + self.parent = parent + #: the :class:`Command` for this context. + self.command = command + #: the descriptive information name + self.info_name = info_name + #: Map of parameter names to their parsed values. Parameters + #: with ``expose_value=False`` are not stored. + self.params: dict[str, t.Any] = {} + #: the leftover arguments. + self.args: list[str] = [] + #: protected arguments. These are arguments that are prepended + #: to `args` when certain parsing scenarios are encountered but + #: must be never propagated to another arguments. This is used + #: to implement nested parsing. + self._protected_args: list[str] = [] + #: the collected prefixes of the command's options. + self._opt_prefixes: set[str] = set(parent._opt_prefixes) if parent else set() + + if obj is None and parent is not None: + obj = parent.obj + + #: the user object stored. + self.obj: t.Any = obj + self._meta: dict[str, t.Any] = getattr(parent, "meta", {}) + + #: A dictionary (-like object) with defaults for parameters. + if ( + default_map is None + and info_name is not None + and parent is not None + and parent.default_map is not None + ): + default_map = parent.default_map.get(info_name) + + self.default_map: cabc.MutableMapping[str, t.Any] | None = default_map + + #: This flag indicates if a subcommand is going to be executed. A + #: group callback can use this information to figure out if it's + #: being executed directly or because the execution flow passes + #: onwards to a subcommand. By default it's None, but it can be + #: the name of the subcommand to execute. + #: + #: If chaining is enabled this will be set to ``'*'`` in case + #: any commands are executed. It is however not possible to + #: figure out which ones. If you require this knowledge you + #: should use a :func:`result_callback`. + self.invoked_subcommand: str | None = None + + if terminal_width is None and parent is not None: + terminal_width = parent.terminal_width + + #: The width of the terminal (None is autodetection). + self.terminal_width: int | None = terminal_width + + if max_content_width is None and parent is not None: + max_content_width = parent.max_content_width + + #: The maximum width of formatted content (None implies a sensible + #: default which is 80 for most things). + self.max_content_width: int | None = max_content_width + + if allow_extra_args is None: + allow_extra_args = command.allow_extra_args + + #: Indicates if the context allows extra args or if it should + #: fail on parsing. + #: + #: .. versionadded:: 3.0 + self.allow_extra_args = allow_extra_args + + if allow_interspersed_args is None: + allow_interspersed_args = command.allow_interspersed_args + + #: Indicates if the context allows mixing of arguments and + #: options or not. + #: + #: .. versionadded:: 3.0 + self.allow_interspersed_args: bool = allow_interspersed_args + + if ignore_unknown_options is None: + ignore_unknown_options = command.ignore_unknown_options + + #: Instructs click to ignore options that a command does not + #: understand and will store it on the context for later + #: processing. This is primarily useful for situations where you + #: want to call into external programs. Generally this pattern is + #: strongly discouraged because it's not possibly to losslessly + #: forward all arguments. + #: + #: .. versionadded:: 4.0 + self.ignore_unknown_options: bool = ignore_unknown_options + + if help_option_names is None: + if parent is not None: + help_option_names = parent.help_option_names + else: + help_option_names = ["--help"] + + #: The names for the help options. + self.help_option_names: list[str] = help_option_names + + if token_normalize_func is None and parent is not None: + token_normalize_func = parent.token_normalize_func + + #: An optional normalization function for tokens. This is + #: options, choices, commands etc. + self.token_normalize_func: t.Callable[[str], str] | None = token_normalize_func + + #: Indicates if resilient parsing is enabled. In that case Click + #: will do its best to not cause any failures and default values + #: will be ignored. Useful for completion. + self.resilient_parsing: bool = resilient_parsing + + # If there is no envvar prefix yet, but the parent has one and + # the command on this level has a name, we can expand the envvar + # prefix automatically. + if auto_envvar_prefix is None: + if ( + parent is not None + and parent.auto_envvar_prefix is not None + and self.info_name is not None + ): + auto_envvar_prefix = ( + f"{parent.auto_envvar_prefix}_{self.info_name.upper()}" + ) + else: + auto_envvar_prefix = auto_envvar_prefix.upper() + + if auto_envvar_prefix is not None: + auto_envvar_prefix = auto_envvar_prefix.replace("-", "_") + + self.auto_envvar_prefix: str | None = auto_envvar_prefix + + if color is None and parent is not None: + color = parent.color + + #: Controls if styling output is wanted or not. + self.color: bool | None = color + + if show_default is None and parent is not None: + show_default = parent.show_default + + #: Show option default values when formatting help text. + self.show_default: bool | None = show_default + + self._close_callbacks: list[t.Callable[[], t.Any]] = [] + self._depth = 0 + self._parameter_source: dict[str, ParameterSource] = {} + self._exit_stack = ExitStack() + + @property + def protected_args(self) -> list[str]: + import warnings + + warnings.warn( + "'protected_args' is deprecated and will be removed in Click 9.0." + " 'args' will contain remaining unparsed tokens.", + DeprecationWarning, + stacklevel=2, + ) + return self._protected_args + + def to_info_dict(self) -> dict[str, t.Any]: + """Gather information that could be useful for a tool generating + user-facing documentation. This traverses the entire CLI + structure. + + .. code-block:: python + + with Context(cli) as ctx: + info = ctx.to_info_dict() + + .. versionadded:: 8.0 + """ + return { + "command": self.command.to_info_dict(self), + "info_name": self.info_name, + "allow_extra_args": self.allow_extra_args, + "allow_interspersed_args": self.allow_interspersed_args, + "ignore_unknown_options": self.ignore_unknown_options, + "auto_envvar_prefix": self.auto_envvar_prefix, + } + + def __enter__(self) -> Context: + self._depth += 1 + push_context(self) + return self + + def __exit__( + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + tb: TracebackType | None, + ) -> bool | None: + self._depth -= 1 + exit_result: bool | None = None + if self._depth == 0: + exit_result = self._close_with_exception_info(exc_type, exc_value, tb) + pop_context() + + return exit_result + + @contextmanager + def scope(self, cleanup: bool = True) -> cabc.Iterator[Context]: + """This helper method can be used with the context object to promote + it to the current thread local (see :func:`get_current_context`). + The default behavior of this is to invoke the cleanup functions which + can be disabled by setting `cleanup` to `False`. The cleanup + functions are typically used for things such as closing file handles. + + If the cleanup is intended the context object can also be directly + used as a context manager. + + Example usage:: + + with ctx.scope(): + assert get_current_context() is ctx + + This is equivalent:: + + with ctx: + assert get_current_context() is ctx + + .. versionadded:: 5.0 + + :param cleanup: controls if the cleanup functions should be run or + not. The default is to run these functions. In + some situations the context only wants to be + temporarily pushed in which case this can be disabled. + Nested pushes automatically defer the cleanup. + """ + if not cleanup: + self._depth += 1 + try: + with self as rv: + yield rv + finally: + if not cleanup: + self._depth -= 1 + + @property + def meta(self) -> dict[str, t.Any]: + """This is a dictionary which is shared with all the contexts + that are nested. It exists so that click utilities can store some + state here if they need to. It is however the responsibility of + that code to manage this dictionary well. + + The keys are supposed to be unique dotted strings. For instance + module paths are a good choice for it. What is stored in there is + irrelevant for the operation of click. However what is important is + that code that places data here adheres to the general semantics of + the system. + + Example usage:: + + LANG_KEY = f'{__name__}.lang' + + def set_language(value): + ctx = get_current_context() + ctx.meta[LANG_KEY] = value + + def get_language(): + return get_current_context().meta.get(LANG_KEY, 'en_US') + + .. versionadded:: 5.0 + """ + return self._meta + + def make_formatter(self) -> HelpFormatter: + """Creates the :class:`~click.HelpFormatter` for the help and + usage output. + + To quickly customize the formatter class used without overriding + this method, set the :attr:`formatter_class` attribute. + + .. versionchanged:: 8.0 + Added the :attr:`formatter_class` attribute. + """ + return self.formatter_class( + width=self.terminal_width, max_width=self.max_content_width + ) + + def with_resource(self, context_manager: AbstractContextManager[V]) -> V: + """Register a resource as if it were used in a ``with`` + statement. The resource will be cleaned up when the context is + popped. + + Uses :meth:`contextlib.ExitStack.enter_context`. It calls the + resource's ``__enter__()`` method and returns the result. When + the context is popped, it closes the stack, which calls the + resource's ``__exit__()`` method. + + To register a cleanup function for something that isn't a + context manager, use :meth:`call_on_close`. Or use something + from :mod:`contextlib` to turn it into a context manager first. + + .. code-block:: python + + @click.group() + @click.option("--name") + @click.pass_context + def cli(ctx): + ctx.obj = ctx.with_resource(connect_db(name)) + + :param context_manager: The context manager to enter. + :return: Whatever ``context_manager.__enter__()`` returns. + + .. versionadded:: 8.0 + """ + return self._exit_stack.enter_context(context_manager) + + def call_on_close(self, f: t.Callable[..., t.Any]) -> t.Callable[..., t.Any]: + """Register a function to be called when the context tears down. + + This can be used to close resources opened during the script + execution. Resources that support Python's context manager + protocol which would be used in a ``with`` statement should be + registered with :meth:`with_resource` instead. + + :param f: The function to execute on teardown. + """ + return self._exit_stack.callback(f) + + def close(self) -> None: + """Invoke all close callbacks registered with + :meth:`call_on_close`, and exit all context managers entered + with :meth:`with_resource`. + """ + self._close_with_exception_info(None, None, None) + + def _close_with_exception_info( + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + tb: TracebackType | None, + ) -> bool | None: + """Unwind the exit stack by calling its :meth:`__exit__` providing the exception + information to allow for exception handling by the various resources registered + using :meth;`with_resource` + + :return: Whatever ``exit_stack.__exit__()`` returns. + """ + exit_result = self._exit_stack.__exit__(exc_type, exc_value, tb) + # In case the context is reused, create a new exit stack. + self._exit_stack = ExitStack() + + return exit_result + + @property + def command_path(self) -> str: + """The computed command path. This is used for the ``usage`` + information on the help page. It's automatically created by + combining the info names of the chain of contexts to the root. + """ + rv = "" + if self.info_name is not None: + rv = self.info_name + if self.parent is not None: + parent_command_path = [self.parent.command_path] + + if isinstance(self.parent.command, Command): + for param in self.parent.command.get_params(self): + parent_command_path.extend(param.get_usage_pieces(self)) + + rv = f"{' '.join(parent_command_path)} {rv}" + return rv.lstrip() + + def find_root(self) -> Context: + """Finds the outermost context.""" + node = self + while node.parent is not None: + node = node.parent + return node + + def find_object(self, object_type: type[V]) -> V | None: + """Finds the closest object of a given type.""" + node: Context | None = self + + while node is not None: + if isinstance(node.obj, object_type): + return node.obj + + node = node.parent + + return None + + def ensure_object(self, object_type: type[V]) -> V: + """Like :meth:`find_object` but sets the innermost object to a + new instance of `object_type` if it does not exist. + """ + rv = self.find_object(object_type) + if rv is None: + self.obj = rv = object_type() + return rv + + @t.overload + def lookup_default( + self, name: str, call: t.Literal[True] = True + ) -> t.Any | None: ... + + @t.overload + def lookup_default( + self, name: str, call: t.Literal[False] = ... + ) -> t.Any | t.Callable[[], t.Any] | None: ... + + def lookup_default(self, name: str, call: bool = True) -> t.Any | None: + """Get the default for a parameter from :attr:`default_map`. + + :param name: Name of the parameter. + :param call: If the default is a callable, call it. Disable to + return the callable instead. + + .. versionchanged:: 8.0 + Added the ``call`` parameter. + """ + if self.default_map is not None: + value = self.default_map.get(name, UNSET) + + if call and callable(value): + return value() + + return value + + return UNSET + + def fail(self, message: str) -> t.NoReturn: + """Aborts the execution of the program with a specific error + message. + + :param message: the error message to fail with. + """ + raise UsageError(message, self) + + def abort(self) -> t.NoReturn: + """Aborts the script.""" + raise Abort() + + def exit(self, code: int = 0) -> t.NoReturn: + """Exits the application with a given exit code. + + .. versionchanged:: 8.2 + Callbacks and context managers registered with :meth:`call_on_close` + and :meth:`with_resource` are closed before exiting. + """ + self.close() + raise Exit(code) + + def get_usage(self) -> str: + """Helper method to get formatted usage string for the current + context and command. + """ + return self.command.get_usage(self) + + def get_help(self) -> str: + """Helper method to get formatted help page for the current + context and command. + """ + return self.command.get_help(self) + + def _make_sub_context(self, command: Command) -> Context: + """Create a new context of the same type as this context, but + for a new command. + + :meta private: + """ + return type(self)(command, info_name=command.name, parent=self) + + @t.overload + def invoke( + self, callback: t.Callable[..., V], /, *args: t.Any, **kwargs: t.Any + ) -> V: ... + + @t.overload + def invoke(self, callback: Command, /, *args: t.Any, **kwargs: t.Any) -> t.Any: ... + + def invoke( + self, callback: Command | t.Callable[..., V], /, *args: t.Any, **kwargs: t.Any + ) -> t.Any | V: + """Invokes a command callback in exactly the way it expects. There + are two ways to invoke this method: + + 1. the first argument can be a callback and all other arguments and + keyword arguments are forwarded directly to the function. + 2. the first argument is a click command object. In that case all + arguments are forwarded as well but proper click parameters + (options and click arguments) must be keyword arguments and Click + will fill in defaults. + + .. versionchanged:: 8.0 + All ``kwargs`` are tracked in :attr:`params` so they will be + passed if :meth:`forward` is called at multiple levels. + + .. versionchanged:: 3.2 + A new context is created, and missing arguments use default values. + """ + if isinstance(callback, Command): + other_cmd = callback + + if other_cmd.callback is None: + raise TypeError( + "The given command does not have a callback that can be invoked." + ) + else: + callback = t.cast("t.Callable[..., V]", other_cmd.callback) + + ctx = self._make_sub_context(other_cmd) + + for param in other_cmd.params: + if param.name not in kwargs and param.expose_value: + default_value = param.get_default(ctx) + # We explicitly hide the :attr:`UNSET` value to the user, as we + # choose to make it an implementation detail. And because ``invoke`` + # has been designed as part of Click public API, we return ``None`` + # instead. Refs: + # https://github.com/pallets/click/issues/3066 + # https://github.com/pallets/click/issues/3065 + # https://github.com/pallets/click/pull/3068 + if default_value is UNSET: + default_value = None + kwargs[param.name] = param.type_cast_value( # type: ignore + ctx, default_value + ) + + # Track all kwargs as params, so that forward() will pass + # them on in subsequent calls. + ctx.params.update(kwargs) + else: + ctx = self + + with augment_usage_errors(self): + with ctx: + return callback(*args, **kwargs) + + def forward(self, cmd: Command, /, *args: t.Any, **kwargs: t.Any) -> t.Any: + """Similar to :meth:`invoke` but fills in default keyword + arguments from the current context if the other command expects + it. This cannot invoke callbacks directly, only other commands. + + .. versionchanged:: 8.0 + All ``kwargs`` are tracked in :attr:`params` so they will be + passed if ``forward`` is called at multiple levels. + """ + # Can only forward to other commands, not direct callbacks. + if not isinstance(cmd, Command): + raise TypeError("Callback is not a command.") + + for param in self.params: + if param not in kwargs: + kwargs[param] = self.params[param] + + return self.invoke(cmd, *args, **kwargs) + + def set_parameter_source(self, name: str, source: ParameterSource) -> None: + """Set the source of a parameter. This indicates the location + from which the value of the parameter was obtained. + + :param name: The name of the parameter. + :param source: A member of :class:`~click.core.ParameterSource`. + """ + self._parameter_source[name] = source + + def get_parameter_source(self, name: str) -> ParameterSource | None: + """Get the source of a parameter. This indicates the location + from which the value of the parameter was obtained. + + This can be useful for determining when a user specified a value + on the command line that is the same as the default value. It + will be :attr:`~click.core.ParameterSource.DEFAULT` only if the + value was actually taken from the default. + + :param name: The name of the parameter. + :rtype: ParameterSource + + .. versionchanged:: 8.0 + Returns ``None`` if the parameter was not provided from any + source. + """ + return self._parameter_source.get(name) + + +class Command: + """Commands are the basic building block of command line interfaces in + Click. A basic command handles command line parsing and might dispatch + more parsing to commands nested below it. + + :param name: the name of the command to use unless a group overrides it. + :param context_settings: an optional dictionary with defaults that are + passed to the context object. + :param callback: the callback to invoke. This is optional. + :param params: the parameters to register with this command. This can + be either :class:`Option` or :class:`Argument` objects. + :param help: the help string to use for this command. + :param epilog: like the help string but it's printed at the end of the + help page after everything else. + :param short_help: the short help to use for this command. This is + shown on the command listing of the parent command. + :param add_help_option: by default each command registers a ``--help`` + option. This can be disabled by this parameter. + :param no_args_is_help: this controls what happens if no arguments are + provided. This option is disabled by default. + If enabled this will add ``--help`` as argument + if no arguments are passed + :param hidden: hide this command from help outputs. + :param deprecated: If ``True`` or non-empty string, issues a message + indicating that the command is deprecated and highlights + its deprecation in --help. The message can be customized + by using a string as the value. + + .. versionchanged:: 8.2 + This is the base class for all commands, not ``BaseCommand``. + ``deprecated`` can be set to a string as well to customize the + deprecation message. + + .. versionchanged:: 8.1 + ``help``, ``epilog``, and ``short_help`` are stored unprocessed, + all formatting is done when outputting help text, not at init, + and is done even if not using the ``@command`` decorator. + + .. versionchanged:: 8.0 + Added a ``repr`` showing the command name. + + .. versionchanged:: 7.1 + Added the ``no_args_is_help`` parameter. + + .. versionchanged:: 2.0 + Added the ``context_settings`` parameter. + """ + + #: The context class to create with :meth:`make_context`. + #: + #: .. versionadded:: 8.0 + context_class: type[Context] = Context + + #: the default for the :attr:`Context.allow_extra_args` flag. + allow_extra_args = False + + #: the default for the :attr:`Context.allow_interspersed_args` flag. + allow_interspersed_args = True + + #: the default for the :attr:`Context.ignore_unknown_options` flag. + ignore_unknown_options = False + + def __init__( + self, + name: str | None, + context_settings: cabc.MutableMapping[str, t.Any] | None = None, + callback: t.Callable[..., t.Any] | None = None, + params: list[Parameter] | None = None, + help: str | None = None, + epilog: str | None = None, + short_help: str | None = None, + options_metavar: str | None = "[OPTIONS]", + add_help_option: bool = True, + no_args_is_help: bool = False, + hidden: bool = False, + deprecated: bool | str = False, + ) -> None: + #: the name the command thinks it has. Upon registering a command + #: on a :class:`Group` the group will default the command name + #: with this information. You should instead use the + #: :class:`Context`\'s :attr:`~Context.info_name` attribute. + self.name = name + + if context_settings is None: + context_settings = {} + + #: an optional dictionary with defaults passed to the context. + self.context_settings: cabc.MutableMapping[str, t.Any] = context_settings + + #: the callback to execute when the command fires. This might be + #: `None` in which case nothing happens. + self.callback = callback + #: the list of parameters for this command in the order they + #: should show up in the help page and execute. Eager parameters + #: will automatically be handled before non eager ones. + self.params: list[Parameter] = params or [] + self.help = help + self.epilog = epilog + self.options_metavar = options_metavar + self.short_help = short_help + self.add_help_option = add_help_option + self._help_option = None + self.no_args_is_help = no_args_is_help + self.hidden = hidden + self.deprecated = deprecated + + def to_info_dict(self, ctx: Context) -> dict[str, t.Any]: + return { + "name": self.name, + "params": [param.to_info_dict() for param in self.get_params(ctx)], + "help": self.help, + "epilog": self.epilog, + "short_help": self.short_help, + "hidden": self.hidden, + "deprecated": self.deprecated, + } + + def __repr__(self) -> str: + return f"<{self.__class__.__name__} {self.name}>" + + def get_usage(self, ctx: Context) -> str: + """Formats the usage line into a string and returns it. + + Calls :meth:`format_usage` internally. + """ + formatter = ctx.make_formatter() + self.format_usage(ctx, formatter) + return formatter.getvalue().rstrip("\n") + + def get_params(self, ctx: Context) -> list[Parameter]: + params = self.params + help_option = self.get_help_option(ctx) + + if help_option is not None: + params = [*params, help_option] + + if __debug__: + import warnings + + opts = [opt for param in params for opt in param.opts] + opts_counter = Counter(opts) + duplicate_opts = (opt for opt, count in opts_counter.items() if count > 1) + + for duplicate_opt in duplicate_opts: + warnings.warn( + ( + f"The parameter {duplicate_opt} is used more than once. " + "Remove its duplicate as parameters should be unique." + ), + stacklevel=3, + ) + + return params + + def format_usage(self, ctx: Context, formatter: HelpFormatter) -> None: + """Writes the usage line into the formatter. + + This is a low-level method called by :meth:`get_usage`. + """ + pieces = self.collect_usage_pieces(ctx) + formatter.write_usage(ctx.command_path, " ".join(pieces)) + + def collect_usage_pieces(self, ctx: Context) -> list[str]: + """Returns all the pieces that go into the usage line and returns + it as a list of strings. + """ + rv = [self.options_metavar] if self.options_metavar else [] + + for param in self.get_params(ctx): + rv.extend(param.get_usage_pieces(ctx)) + + return rv + + def get_help_option_names(self, ctx: Context) -> list[str]: + """Returns the names for the help option.""" + all_names = set(ctx.help_option_names) + for param in self.params: + all_names.difference_update(param.opts) + all_names.difference_update(param.secondary_opts) + return list(all_names) + + def get_help_option(self, ctx: Context) -> Option | None: + """Returns the help option object. + + Skipped if :attr:`add_help_option` is ``False``. + + .. versionchanged:: 8.1.8 + The help option is now cached to avoid creating it multiple times. + """ + help_option_names = self.get_help_option_names(ctx) + + if not help_option_names or not self.add_help_option: + return None + + # Cache the help option object in private _help_option attribute to + # avoid creating it multiple times. Not doing this will break the + # callback odering by iter_params_for_processing(), which relies on + # object comparison. + if self._help_option is None: + # Avoid circular import. + from .decorators import help_option + + # Apply help_option decorator and pop resulting option + help_option(*help_option_names)(self) + self._help_option = self.params.pop() # type: ignore[assignment] + + return self._help_option + + def make_parser(self, ctx: Context) -> _OptionParser: + """Creates the underlying option parser for this command.""" + parser = _OptionParser(ctx) + for param in self.get_params(ctx): + param.add_to_parser(parser, ctx) + return parser + + def get_help(self, ctx: Context) -> str: + """Formats the help into a string and returns it. + + Calls :meth:`format_help` internally. + """ + formatter = ctx.make_formatter() + self.format_help(ctx, formatter) + return formatter.getvalue().rstrip("\n") + + def get_short_help_str(self, limit: int = 45) -> str: + """Gets short help for the command or makes it by shortening the + long help string. + """ + if self.short_help: + text = inspect.cleandoc(self.short_help) + elif self.help: + text = make_default_short_help(self.help, limit) + else: + text = "" + + if self.deprecated: + deprecated_message = ( + f"(DEPRECATED: {self.deprecated})" + if isinstance(self.deprecated, str) + else "(DEPRECATED)" + ) + text = _("{text} {deprecated_message}").format( + text=text, deprecated_message=deprecated_message + ) + + return text.strip() + + def format_help(self, ctx: Context, formatter: HelpFormatter) -> None: + """Writes the help into the formatter if it exists. + + This is a low-level method called by :meth:`get_help`. + + This calls the following methods: + + - :meth:`format_usage` + - :meth:`format_help_text` + - :meth:`format_options` + - :meth:`format_epilog` + """ + self.format_usage(ctx, formatter) + self.format_help_text(ctx, formatter) + self.format_options(ctx, formatter) + self.format_epilog(ctx, formatter) + + def format_help_text(self, ctx: Context, formatter: HelpFormatter) -> None: + """Writes the help text to the formatter if it exists.""" + if self.help is not None: + # truncate the help text to the first form feed + text = inspect.cleandoc(self.help).partition("\f")[0] + else: + text = "" + + if self.deprecated: + deprecated_message = ( + f"(DEPRECATED: {self.deprecated})" + if isinstance(self.deprecated, str) + else "(DEPRECATED)" + ) + text = _("{text} {deprecated_message}").format( + text=text, deprecated_message=deprecated_message + ) + + if text: + formatter.write_paragraph() + + with formatter.indentation(): + formatter.write_text(text) + + def format_options(self, ctx: Context, formatter: HelpFormatter) -> None: + """Writes all the options into the formatter if they exist.""" + opts = [] + for param in self.get_params(ctx): + rv = param.get_help_record(ctx) + if rv is not None: + opts.append(rv) + + if opts: + with formatter.section(_("Options")): + formatter.write_dl(opts) + + def format_epilog(self, ctx: Context, formatter: HelpFormatter) -> None: + """Writes the epilog into the formatter if it exists.""" + if self.epilog: + epilog = inspect.cleandoc(self.epilog) + formatter.write_paragraph() + + with formatter.indentation(): + formatter.write_text(epilog) + + def make_context( + self, + info_name: str | None, + args: list[str], + parent: Context | None = None, + **extra: t.Any, + ) -> Context: + """This function when given an info name and arguments will kick + off the parsing and create a new :class:`Context`. It does not + invoke the actual command callback though. + + To quickly customize the context class used without overriding + this method, set the :attr:`context_class` attribute. + + :param info_name: the info name for this invocation. Generally this + is the most descriptive name for the script or + command. For the toplevel script it's usually + the name of the script, for commands below it's + the name of the command. + :param args: the arguments to parse as list of strings. + :param parent: the parent context if available. + :param extra: extra keyword arguments forwarded to the context + constructor. + + .. versionchanged:: 8.0 + Added the :attr:`context_class` attribute. + """ + for key, value in self.context_settings.items(): + if key not in extra: + extra[key] = value + + ctx = self.context_class(self, info_name=info_name, parent=parent, **extra) + + with ctx.scope(cleanup=False): + self.parse_args(ctx, args) + return ctx + + def parse_args(self, ctx: Context, args: list[str]) -> list[str]: + if not args and self.no_args_is_help and not ctx.resilient_parsing: + raise NoArgsIsHelpError(ctx) + + parser = self.make_parser(ctx) + opts, args, param_order = parser.parse_args(args=args) + + for param in iter_params_for_processing(param_order, self.get_params(ctx)): + _, args = param.handle_parse_result(ctx, opts, args) + + # We now have all parameters' values into `ctx.params`, but the data may contain + # the `UNSET` sentinel. + # Convert `UNSET` to `None` to ensure that the user doesn't see `UNSET`. + # + # Waiting until after the initial parse to convert allows us to treat `UNSET` + # more like a missing value when multiple params use the same name. + # Refs: + # https://github.com/pallets/click/issues/3071 + # https://github.com/pallets/click/pull/3079 + for name, value in ctx.params.items(): + if value is UNSET: + ctx.params[name] = None + + if args and not ctx.allow_extra_args and not ctx.resilient_parsing: + ctx.fail( + ngettext( + "Got unexpected extra argument ({args})", + "Got unexpected extra arguments ({args})", + len(args), + ).format(args=" ".join(map(str, args))) + ) + + ctx.args = args + ctx._opt_prefixes.update(parser._opt_prefixes) + return args + + def invoke(self, ctx: Context) -> t.Any: + """Given a context, this invokes the attached callback (if it exists) + in the right way. + """ + if self.deprecated: + extra_message = ( + f" {self.deprecated}" if isinstance(self.deprecated, str) else "" + ) + message = _( + "DeprecationWarning: The command {name!r} is deprecated.{extra_message}" + ).format(name=self.name, extra_message=extra_message) + echo(style(message, fg="red"), err=True) + + if self.callback is not None: + return ctx.invoke(self.callback, **ctx.params) + + def shell_complete(self, ctx: Context, incomplete: str) -> list[CompletionItem]: + """Return a list of completions for the incomplete value. Looks + at the names of options and chained multi-commands. + + Any command could be part of a chained multi-command, so sibling + commands are valid at any point during command completion. + + :param ctx: Invocation context for this command. + :param incomplete: Value being completed. May be empty. + + .. versionadded:: 8.0 + """ + from click.shell_completion import CompletionItem + + results: list[CompletionItem] = [] + + if incomplete and not incomplete[0].isalnum(): + for param in self.get_params(ctx): + if ( + not isinstance(param, Option) + or param.hidden + or ( + not param.multiple + and ctx.get_parameter_source(param.name) # type: ignore + is ParameterSource.COMMANDLINE + ) + ): + continue + + results.extend( + CompletionItem(name, help=param.help) + for name in [*param.opts, *param.secondary_opts] + if name.startswith(incomplete) + ) + + while ctx.parent is not None: + ctx = ctx.parent + + if isinstance(ctx.command, Group) and ctx.command.chain: + results.extend( + CompletionItem(name, help=command.get_short_help_str()) + for name, command in _complete_visible_commands(ctx, incomplete) + if name not in ctx._protected_args + ) + + return results + + @t.overload + def main( + self, + args: cabc.Sequence[str] | None = None, + prog_name: str | None = None, + complete_var: str | None = None, + standalone_mode: t.Literal[True] = True, + **extra: t.Any, + ) -> t.NoReturn: ... + + @t.overload + def main( + self, + args: cabc.Sequence[str] | None = None, + prog_name: str | None = None, + complete_var: str | None = None, + standalone_mode: bool = ..., + **extra: t.Any, + ) -> t.Any: ... + + def main( + self, + args: cabc.Sequence[str] | None = None, + prog_name: str | None = None, + complete_var: str | None = None, + standalone_mode: bool = True, + windows_expand_args: bool = True, + **extra: t.Any, + ) -> t.Any: + """This is the way to invoke a script with all the bells and + whistles as a command line application. This will always terminate + the application after a call. If this is not wanted, ``SystemExit`` + needs to be caught. + + This method is also available by directly calling the instance of + a :class:`Command`. + + :param args: the arguments that should be used for parsing. If not + provided, ``sys.argv[1:]`` is used. + :param prog_name: the program name that should be used. By default + the program name is constructed by taking the file + name from ``sys.argv[0]``. + :param complete_var: the environment variable that controls the + bash completion support. The default is + ``"__COMPLETE"`` with prog_name in + uppercase. + :param standalone_mode: the default behavior is to invoke the script + in standalone mode. Click will then + handle exceptions and convert them into + error messages and the function will never + return but shut down the interpreter. If + this is set to `False` they will be + propagated to the caller and the return + value of this function is the return value + of :meth:`invoke`. + :param windows_expand_args: Expand glob patterns, user dir, and + env vars in command line args on Windows. + :param extra: extra keyword arguments are forwarded to the context + constructor. See :class:`Context` for more information. + + .. versionchanged:: 8.0.1 + Added the ``windows_expand_args`` parameter to allow + disabling command line arg expansion on Windows. + + .. versionchanged:: 8.0 + When taking arguments from ``sys.argv`` on Windows, glob + patterns, user dir, and env vars are expanded. + + .. versionchanged:: 3.0 + Added the ``standalone_mode`` parameter. + """ + if args is None: + args = sys.argv[1:] + + if os.name == "nt" and windows_expand_args: + args = _expand_args(args) + else: + args = list(args) + + if prog_name is None: + prog_name = _detect_program_name() + + # Process shell completion requests and exit early. + self._main_shell_completion(extra, prog_name, complete_var) + + try: + try: + with self.make_context(prog_name, args, **extra) as ctx: + rv = self.invoke(ctx) + if not standalone_mode: + return rv + # it's not safe to `ctx.exit(rv)` here! + # note that `rv` may actually contain data like "1" which + # has obvious effects + # more subtle case: `rv=[None, None]` can come out of + # chained commands which all returned `None` -- so it's not + # even always obvious that `rv` indicates success/failure + # by its truthiness/falsiness + ctx.exit() + except (EOFError, KeyboardInterrupt) as e: + echo(file=sys.stderr) + raise Abort() from e + except ClickException as e: + if not standalone_mode: + raise + e.show() + sys.exit(e.exit_code) + except OSError as e: + if e.errno == errno.EPIPE: + sys.stdout = t.cast(t.TextIO, PacifyFlushWrapper(sys.stdout)) + sys.stderr = t.cast(t.TextIO, PacifyFlushWrapper(sys.stderr)) + sys.exit(1) + else: + raise + except Exit as e: + if standalone_mode: + sys.exit(e.exit_code) + else: + # in non-standalone mode, return the exit code + # note that this is only reached if `self.invoke` above raises + # an Exit explicitly -- thus bypassing the check there which + # would return its result + # the results of non-standalone execution may therefore be + # somewhat ambiguous: if there are codepaths which lead to + # `ctx.exit(1)` and to `return 1`, the caller won't be able to + # tell the difference between the two + return e.exit_code + except Abort: + if not standalone_mode: + raise + echo(_("Aborted!"), file=sys.stderr) + sys.exit(1) + + def _main_shell_completion( + self, + ctx_args: cabc.MutableMapping[str, t.Any], + prog_name: str, + complete_var: str | None = None, + ) -> None: + """Check if the shell is asking for tab completion, process + that, then exit early. Called from :meth:`main` before the + program is invoked. + + :param prog_name: Name of the executable in the shell. + :param complete_var: Name of the environment variable that holds + the completion instruction. Defaults to + ``_{PROG_NAME}_COMPLETE``. + + .. versionchanged:: 8.2.0 + Dots (``.``) in ``prog_name`` are replaced with underscores (``_``). + """ + if complete_var is None: + complete_name = prog_name.replace("-", "_").replace(".", "_") + complete_var = f"_{complete_name}_COMPLETE".upper() + + instruction = os.environ.get(complete_var) + + if not instruction: + return + + from .shell_completion import shell_complete + + rv = shell_complete(self, ctx_args, prog_name, complete_var, instruction) + sys.exit(rv) + + def __call__(self, *args: t.Any, **kwargs: t.Any) -> t.Any: + """Alias for :meth:`main`.""" + return self.main(*args, **kwargs) + + +class _FakeSubclassCheck(type): + def __subclasscheck__(cls, subclass: type) -> bool: + return issubclass(subclass, cls.__bases__[0]) + + def __instancecheck__(cls, instance: t.Any) -> bool: + return isinstance(instance, cls.__bases__[0]) + + +class _BaseCommand(Command, metaclass=_FakeSubclassCheck): + """ + .. deprecated:: 8.2 + Will be removed in Click 9.0. Use ``Command`` instead. + """ + + +class Group(Command): + """A group is a command that nests other commands (or more groups). + + :param name: The name of the group command. + :param commands: Map names to :class:`Command` objects. Can be a list, which + will use :attr:`Command.name` as the keys. + :param invoke_without_command: Invoke the group's callback even if a + subcommand is not given. + :param no_args_is_help: If no arguments are given, show the group's help and + exit. Defaults to the opposite of ``invoke_without_command``. + :param subcommand_metavar: How to represent the subcommand argument in help. + The default will represent whether ``chain`` is set or not. + :param chain: Allow passing more than one subcommand argument. After parsing + a command's arguments, if any arguments remain another command will be + matched, and so on. + :param result_callback: A function to call after the group's and + subcommand's callbacks. The value returned by the subcommand is passed. + If ``chain`` is enabled, the value will be a list of values returned by + all the commands. If ``invoke_without_command`` is enabled, the value + will be the value returned by the group's callback, or an empty list if + ``chain`` is enabled. + :param kwargs: Other arguments passed to :class:`Command`. + + .. versionchanged:: 8.0 + The ``commands`` argument can be a list of command objects. + + .. versionchanged:: 8.2 + Merged with and replaces the ``MultiCommand`` base class. + """ + + allow_extra_args = True + allow_interspersed_args = False + + #: If set, this is used by the group's :meth:`command` decorator + #: as the default :class:`Command` class. This is useful to make all + #: subcommands use a custom command class. + #: + #: .. versionadded:: 8.0 + command_class: type[Command] | None = None + + #: If set, this is used by the group's :meth:`group` decorator + #: as the default :class:`Group` class. This is useful to make all + #: subgroups use a custom group class. + #: + #: If set to the special value :class:`type` (literally + #: ``group_class = type``), this group's class will be used as the + #: default class. This makes a custom group class continue to make + #: custom groups. + #: + #: .. versionadded:: 8.0 + group_class: type[Group] | type[type] | None = None + # Literal[type] isn't valid, so use Type[type] + + def __init__( + self, + name: str | None = None, + commands: cabc.MutableMapping[str, Command] + | cabc.Sequence[Command] + | None = None, + invoke_without_command: bool = False, + no_args_is_help: bool | None = None, + subcommand_metavar: str | None = None, + chain: bool = False, + result_callback: t.Callable[..., t.Any] | None = None, + **kwargs: t.Any, + ) -> None: + super().__init__(name, **kwargs) + + if commands is None: + commands = {} + elif isinstance(commands, abc.Sequence): + commands = {c.name: c for c in commands if c.name is not None} + + #: The registered subcommands by their exported names. + self.commands: cabc.MutableMapping[str, Command] = commands + + if no_args_is_help is None: + no_args_is_help = not invoke_without_command + + self.no_args_is_help = no_args_is_help + self.invoke_without_command = invoke_without_command + + if subcommand_metavar is None: + if chain: + subcommand_metavar = "COMMAND1 [ARGS]... [COMMAND2 [ARGS]...]..." + else: + subcommand_metavar = "COMMAND [ARGS]..." + + self.subcommand_metavar = subcommand_metavar + self.chain = chain + # The result callback that is stored. This can be set or + # overridden with the :func:`result_callback` decorator. + self._result_callback = result_callback + + if self.chain: + for param in self.params: + if isinstance(param, Argument) and not param.required: + raise RuntimeError( + "A group in chain mode cannot have optional arguments." + ) + + def to_info_dict(self, ctx: Context) -> dict[str, t.Any]: + info_dict = super().to_info_dict(ctx) + commands = {} + + for name in self.list_commands(ctx): + command = self.get_command(ctx, name) + + if command is None: + continue + + sub_ctx = ctx._make_sub_context(command) + + with sub_ctx.scope(cleanup=False): + commands[name] = command.to_info_dict(sub_ctx) + + info_dict.update(commands=commands, chain=self.chain) + return info_dict + + def add_command(self, cmd: Command, name: str | None = None) -> None: + """Registers another :class:`Command` with this group. If the name + is not provided, the name of the command is used. + """ + name = name or cmd.name + if name is None: + raise TypeError("Command has no name.") + _check_nested_chain(self, name, cmd, register=True) + self.commands[name] = cmd + + @t.overload + def command(self, __func: t.Callable[..., t.Any]) -> Command: ... + + @t.overload + def command( + self, *args: t.Any, **kwargs: t.Any + ) -> t.Callable[[t.Callable[..., t.Any]], Command]: ... + + def command( + self, *args: t.Any, **kwargs: t.Any + ) -> t.Callable[[t.Callable[..., t.Any]], Command] | Command: + """A shortcut decorator for declaring and attaching a command to + the group. This takes the same arguments as :func:`command` and + immediately registers the created command with this group by + calling :meth:`add_command`. + + To customize the command class used, set the + :attr:`command_class` attribute. + + .. versionchanged:: 8.1 + This decorator can be applied without parentheses. + + .. versionchanged:: 8.0 + Added the :attr:`command_class` attribute. + """ + from .decorators import command + + func: t.Callable[..., t.Any] | None = None + + if args and callable(args[0]): + assert len(args) == 1 and not kwargs, ( + "Use 'command(**kwargs)(callable)' to provide arguments." + ) + (func,) = args + args = () + + if self.command_class and kwargs.get("cls") is None: + kwargs["cls"] = self.command_class + + def decorator(f: t.Callable[..., t.Any]) -> Command: + cmd: Command = command(*args, **kwargs)(f) + self.add_command(cmd) + return cmd + + if func is not None: + return decorator(func) + + return decorator + + @t.overload + def group(self, __func: t.Callable[..., t.Any]) -> Group: ... + + @t.overload + def group( + self, *args: t.Any, **kwargs: t.Any + ) -> t.Callable[[t.Callable[..., t.Any]], Group]: ... + + def group( + self, *args: t.Any, **kwargs: t.Any + ) -> t.Callable[[t.Callable[..., t.Any]], Group] | Group: + """A shortcut decorator for declaring and attaching a group to + the group. This takes the same arguments as :func:`group` and + immediately registers the created group with this group by + calling :meth:`add_command`. + + To customize the group class used, set the :attr:`group_class` + attribute. + + .. versionchanged:: 8.1 + This decorator can be applied without parentheses. + + .. versionchanged:: 8.0 + Added the :attr:`group_class` attribute. + """ + from .decorators import group + + func: t.Callable[..., t.Any] | None = None + + if args and callable(args[0]): + assert len(args) == 1 and not kwargs, ( + "Use 'group(**kwargs)(callable)' to provide arguments." + ) + (func,) = args + args = () + + if self.group_class is not None and kwargs.get("cls") is None: + if self.group_class is type: + kwargs["cls"] = type(self) + else: + kwargs["cls"] = self.group_class + + def decorator(f: t.Callable[..., t.Any]) -> Group: + cmd: Group = group(*args, **kwargs)(f) + self.add_command(cmd) + return cmd + + if func is not None: + return decorator(func) + + return decorator + + def result_callback(self, replace: bool = False) -> t.Callable[[F], F]: + """Adds a result callback to the command. By default if a + result callback is already registered this will chain them but + this can be disabled with the `replace` parameter. The result + callback is invoked with the return value of the subcommand + (or the list of return values from all subcommands if chaining + is enabled) as well as the parameters as they would be passed + to the main callback. + + Example:: + + @click.group() + @click.option('-i', '--input', default=23) + def cli(input): + return 42 + + @cli.result_callback() + def process_result(result, input): + return result + input + + :param replace: if set to `True` an already existing result + callback will be removed. + + .. versionchanged:: 8.0 + Renamed from ``resultcallback``. + + .. versionadded:: 3.0 + """ + + def decorator(f: F) -> F: + old_callback = self._result_callback + + if old_callback is None or replace: + self._result_callback = f + return f + + def function(value: t.Any, /, *args: t.Any, **kwargs: t.Any) -> t.Any: + inner = old_callback(value, *args, **kwargs) + return f(inner, *args, **kwargs) + + self._result_callback = rv = update_wrapper(t.cast(F, function), f) + return rv # type: ignore[return-value] + + return decorator + + def get_command(self, ctx: Context, cmd_name: str) -> Command | None: + """Given a context and a command name, this returns a :class:`Command` + object if it exists or returns ``None``. + """ + return self.commands.get(cmd_name) + + def list_commands(self, ctx: Context) -> list[str]: + """Returns a list of subcommand names in the order they should appear.""" + return sorted(self.commands) + + def collect_usage_pieces(self, ctx: Context) -> list[str]: + rv = super().collect_usage_pieces(ctx) + rv.append(self.subcommand_metavar) + return rv + + def format_options(self, ctx: Context, formatter: HelpFormatter) -> None: + super().format_options(ctx, formatter) + self.format_commands(ctx, formatter) + + def format_commands(self, ctx: Context, formatter: HelpFormatter) -> None: + """Extra format methods for multi methods that adds all the commands + after the options. + """ + commands = [] + for subcommand in self.list_commands(ctx): + cmd = self.get_command(ctx, subcommand) + # What is this, the tool lied about a command. Ignore it + if cmd is None: + continue + if cmd.hidden: + continue + + commands.append((subcommand, cmd)) + + # allow for 3 times the default spacing + if len(commands): + limit = formatter.width - 6 - max(len(cmd[0]) for cmd in commands) + + rows = [] + for subcommand, cmd in commands: + help = cmd.get_short_help_str(limit) + rows.append((subcommand, help)) + + if rows: + with formatter.section(_("Commands")): + formatter.write_dl(rows) + + def parse_args(self, ctx: Context, args: list[str]) -> list[str]: + if not args and self.no_args_is_help and not ctx.resilient_parsing: + raise NoArgsIsHelpError(ctx) + + rest = super().parse_args(ctx, args) + + if self.chain: + ctx._protected_args = rest + ctx.args = [] + elif rest: + ctx._protected_args, ctx.args = rest[:1], rest[1:] + + return ctx.args + + def invoke(self, ctx: Context) -> t.Any: + def _process_result(value: t.Any) -> t.Any: + if self._result_callback is not None: + value = ctx.invoke(self._result_callback, value, **ctx.params) + return value + + if not ctx._protected_args: + if self.invoke_without_command: + # No subcommand was invoked, so the result callback is + # invoked with the group return value for regular + # groups, or an empty list for chained groups. + with ctx: + rv = super().invoke(ctx) + return _process_result([] if self.chain else rv) + ctx.fail(_("Missing command.")) + + # Fetch args back out + args = [*ctx._protected_args, *ctx.args] + ctx.args = [] + ctx._protected_args = [] + + # If we're not in chain mode, we only allow the invocation of a + # single command but we also inform the current context about the + # name of the command to invoke. + if not self.chain: + # Make sure the context is entered so we do not clean up + # resources until the result processor has worked. + with ctx: + cmd_name, cmd, args = self.resolve_command(ctx, args) + assert cmd is not None + ctx.invoked_subcommand = cmd_name + super().invoke(ctx) + sub_ctx = cmd.make_context(cmd_name, args, parent=ctx) + with sub_ctx: + return _process_result(sub_ctx.command.invoke(sub_ctx)) + + # In chain mode we create the contexts step by step, but after the + # base command has been invoked. Because at that point we do not + # know the subcommands yet, the invoked subcommand attribute is + # set to ``*`` to inform the command that subcommands are executed + # but nothing else. + with ctx: + ctx.invoked_subcommand = "*" if args else None + super().invoke(ctx) + + # Otherwise we make every single context and invoke them in a + # chain. In that case the return value to the result processor + # is the list of all invoked subcommand's results. + contexts = [] + while args: + cmd_name, cmd, args = self.resolve_command(ctx, args) + assert cmd is not None + sub_ctx = cmd.make_context( + cmd_name, + args, + parent=ctx, + allow_extra_args=True, + allow_interspersed_args=False, + ) + contexts.append(sub_ctx) + args, sub_ctx.args = sub_ctx.args, [] + + rv = [] + for sub_ctx in contexts: + with sub_ctx: + rv.append(sub_ctx.command.invoke(sub_ctx)) + return _process_result(rv) + + def resolve_command( + self, ctx: Context, args: list[str] + ) -> tuple[str | None, Command | None, list[str]]: + cmd_name = make_str(args[0]) + original_cmd_name = cmd_name + + # Get the command + cmd = self.get_command(ctx, cmd_name) + + # If we can't find the command but there is a normalization + # function available, we try with that one. + if cmd is None and ctx.token_normalize_func is not None: + cmd_name = ctx.token_normalize_func(cmd_name) + cmd = self.get_command(ctx, cmd_name) + + # If we don't find the command we want to show an error message + # to the user that it was not provided. However, there is + # something else we should do: if the first argument looks like + # an option we want to kick off parsing again for arguments to + # resolve things like --help which now should go to the main + # place. + if cmd is None and not ctx.resilient_parsing: + if _split_opt(cmd_name)[0]: + self.parse_args(ctx, args) + ctx.fail(_("No such command {name!r}.").format(name=original_cmd_name)) + return cmd_name if cmd else None, cmd, args[1:] + + def shell_complete(self, ctx: Context, incomplete: str) -> list[CompletionItem]: + """Return a list of completions for the incomplete value. Looks + at the names of options, subcommands, and chained + multi-commands. + + :param ctx: Invocation context for this command. + :param incomplete: Value being completed. May be empty. + + .. versionadded:: 8.0 + """ + from click.shell_completion import CompletionItem + + results = [ + CompletionItem(name, help=command.get_short_help_str()) + for name, command in _complete_visible_commands(ctx, incomplete) + ] + results.extend(super().shell_complete(ctx, incomplete)) + return results + + +class _MultiCommand(Group, metaclass=_FakeSubclassCheck): + """ + .. deprecated:: 8.2 + Will be removed in Click 9.0. Use ``Group`` instead. + """ + + +class CommandCollection(Group): + """A :class:`Group` that looks up subcommands on other groups. If a command + is not found on this group, each registered source is checked in order. + Parameters on a source are not added to this group, and a source's callback + is not invoked when invoking its commands. In other words, this "flattens" + commands in many groups into this one group. + + :param name: The name of the group command. + :param sources: A list of :class:`Group` objects to look up commands from. + :param kwargs: Other arguments passed to :class:`Group`. + + .. versionchanged:: 8.2 + This is a subclass of ``Group``. Commands are looked up first on this + group, then each of its sources. + """ + + def __init__( + self, + name: str | None = None, + sources: list[Group] | None = None, + **kwargs: t.Any, + ) -> None: + super().__init__(name, **kwargs) + #: The list of registered groups. + self.sources: list[Group] = sources or [] + + def add_source(self, group: Group) -> None: + """Add a group as a source of commands.""" + self.sources.append(group) + + def get_command(self, ctx: Context, cmd_name: str) -> Command | None: + rv = super().get_command(ctx, cmd_name) + + if rv is not None: + return rv + + for source in self.sources: + rv = source.get_command(ctx, cmd_name) + + if rv is not None: + if self.chain: + _check_nested_chain(self, cmd_name, rv) + + return rv + + return None + + def list_commands(self, ctx: Context) -> list[str]: + rv: set[str] = set(super().list_commands(ctx)) + + for source in self.sources: + rv.update(source.list_commands(ctx)) + + return sorted(rv) + + +def _check_iter(value: t.Any) -> cabc.Iterator[t.Any]: + """Check if the value is iterable but not a string. Raises a type + error, or return an iterator over the value. + """ + if isinstance(value, str): + raise TypeError + + return iter(value) + + +class Parameter: + r"""A parameter to a command comes in two versions: they are either + :class:`Option`\s or :class:`Argument`\s. Other subclasses are currently + not supported by design as some of the internals for parsing are + intentionally not finalized. + + Some settings are supported by both options and arguments. + + :param param_decls: the parameter declarations for this option or + argument. This is a list of flags or argument + names. + :param type: the type that should be used. Either a :class:`ParamType` + or a Python type. The latter is converted into the former + automatically if supported. + :param required: controls if this is optional or not. + :param default: the default value if omitted. This can also be a callable, + in which case it's invoked when the default is needed + without any arguments. + :param callback: A function to further process or validate the value + after type conversion. It is called as ``f(ctx, param, value)`` + and must return the value. It is called for all sources, + including prompts. + :param nargs: the number of arguments to match. If not ``1`` the return + value is a tuple instead of single value. The default for + nargs is ``1`` (except if the type is a tuple, then it's + the arity of the tuple). If ``nargs=-1``, all remaining + parameters are collected. + :param metavar: how the value is represented in the help page. + :param expose_value: if this is `True` then the value is passed onwards + to the command callback and stored on the context, + otherwise it's skipped. + :param is_eager: eager values are processed before non eager ones. This + should not be set for arguments or it will inverse the + order of processing. + :param envvar: environment variable(s) that are used to provide a default value for + this parameter. This can be a string or a sequence of strings. If a sequence is + given, only the first non-empty environment variable is used for the parameter. + :param shell_complete: A function that returns custom shell + completions. Used instead of the param's type completion if + given. Takes ``ctx, param, incomplete`` and must return a list + of :class:`~click.shell_completion.CompletionItem` or a list of + strings. + :param deprecated: If ``True`` or non-empty string, issues a message + indicating that the argument is deprecated and highlights + its deprecation in --help. The message can be customized + by using a string as the value. A deprecated parameter + cannot be required, a ValueError will be raised otherwise. + + .. versionchanged:: 8.2.0 + Introduction of ``deprecated``. + + .. versionchanged:: 8.2 + Adding duplicate parameter names to a :class:`~click.core.Command` will + result in a ``UserWarning`` being shown. + + .. versionchanged:: 8.2 + Adding duplicate parameter names to a :class:`~click.core.Command` will + result in a ``UserWarning`` being shown. + + .. versionchanged:: 8.0 + ``process_value`` validates required parameters and bounded + ``nargs``, and invokes the parameter callback before returning + the value. This allows the callback to validate prompts. + ``full_process_value`` is removed. + + .. versionchanged:: 8.0 + ``autocompletion`` is renamed to ``shell_complete`` and has new + semantics described above. The old name is deprecated and will + be removed in 8.1, until then it will be wrapped to match the + new requirements. + + .. versionchanged:: 8.0 + For ``multiple=True, nargs>1``, the default must be a list of + tuples. + + .. versionchanged:: 8.0 + Setting a default is no longer required for ``nargs>1``, it will + default to ``None``. ``multiple=True`` or ``nargs=-1`` will + default to ``()``. + + .. versionchanged:: 7.1 + Empty environment variables are ignored rather than taking the + empty string value. This makes it possible for scripts to clear + variables if they can't unset them. + + .. versionchanged:: 2.0 + Changed signature for parameter callback to also be passed the + parameter. The old callback format will still work, but it will + raise a warning to give you a chance to migrate the code easier. + """ + + param_type_name = "parameter" + + def __init__( + self, + param_decls: cabc.Sequence[str] | None = None, + type: types.ParamType | t.Any | None = None, + required: bool = False, + # XXX The default historically embed two concepts: + # - the declaration of a Parameter object carrying the default (handy to + # arbitrage the default value of coupled Parameters sharing the same + # self.name, like flag options), + # - and the actual value of the default. + # It is confusing and is the source of many issues discussed in: + # https://github.com/pallets/click/pull/3030 + # In the future, we might think of splitting it in two, not unlike + # Option.is_flag and Option.flag_value: we could have something like + # Parameter.is_default and Parameter.default_value. + default: t.Any | t.Callable[[], t.Any] | None = UNSET, + callback: t.Callable[[Context, Parameter, t.Any], t.Any] | None = None, + nargs: int | None = None, + multiple: bool = False, + metavar: str | None = None, + expose_value: bool = True, + is_eager: bool = False, + envvar: str | cabc.Sequence[str] | None = None, + shell_complete: t.Callable[ + [Context, Parameter, str], list[CompletionItem] | list[str] + ] + | None = None, + deprecated: bool | str = False, + ) -> None: + self.name: str | None + self.opts: list[str] + self.secondary_opts: list[str] + self.name, self.opts, self.secondary_opts = self._parse_decls( + param_decls or (), expose_value + ) + self.type: types.ParamType = types.convert_type(type, default) + + # Default nargs to what the type tells us if we have that + # information available. + if nargs is None: + if self.type.is_composite: + nargs = self.type.arity + else: + nargs = 1 + + self.required = required + self.callback = callback + self.nargs = nargs + self.multiple = multiple + self.expose_value = expose_value + self.default: t.Any | t.Callable[[], t.Any] | None = default + self.is_eager = is_eager + self.metavar = metavar + self.envvar = envvar + self._custom_shell_complete = shell_complete + self.deprecated = deprecated + + if __debug__: + if self.type.is_composite and nargs != self.type.arity: + raise ValueError( + f"'nargs' must be {self.type.arity} (or None) for" + f" type {self.type!r}, but it was {nargs}." + ) + + if required and deprecated: + raise ValueError( + f"The {self.param_type_name} '{self.human_readable_name}' " + "is deprecated and still required. A deprecated " + f"{self.param_type_name} cannot be required." + ) + + def to_info_dict(self) -> dict[str, t.Any]: + """Gather information that could be useful for a tool generating + user-facing documentation. + + Use :meth:`click.Context.to_info_dict` to traverse the entire + CLI structure. + + .. versionchanged:: 8.3.0 + Returns ``None`` for the :attr:`default` if it was not set. + + .. versionadded:: 8.0 + """ + return { + "name": self.name, + "param_type_name": self.param_type_name, + "opts": self.opts, + "secondary_opts": self.secondary_opts, + "type": self.type.to_info_dict(), + "required": self.required, + "nargs": self.nargs, + "multiple": self.multiple, + # We explicitly hide the :attr:`UNSET` value to the user, as we choose to + # make it an implementation detail. And because ``to_info_dict`` has been + # designed for documentation purposes, we return ``None`` instead. + "default": self.default if self.default is not UNSET else None, + "envvar": self.envvar, + } + + def __repr__(self) -> str: + return f"<{self.__class__.__name__} {self.name}>" + + def _parse_decls( + self, decls: cabc.Sequence[str], expose_value: bool + ) -> tuple[str | None, list[str], list[str]]: + raise NotImplementedError() + + @property + def human_readable_name(self) -> str: + """Returns the human readable name of this parameter. This is the + same as the name for options, but the metavar for arguments. + """ + return self.name # type: ignore + + def make_metavar(self, ctx: Context) -> str: + if self.metavar is not None: + return self.metavar + + metavar = self.type.get_metavar(param=self, ctx=ctx) + + if metavar is None: + metavar = self.type.name.upper() + + if self.nargs != 1: + metavar += "..." + + return metavar + + @t.overload + def get_default( + self, ctx: Context, call: t.Literal[True] = True + ) -> t.Any | None: ... + + @t.overload + def get_default( + self, ctx: Context, call: bool = ... + ) -> t.Any | t.Callable[[], t.Any] | None: ... + + def get_default( + self, ctx: Context, call: bool = True + ) -> t.Any | t.Callable[[], t.Any] | None: + """Get the default for the parameter. Tries + :meth:`Context.lookup_default` first, then the local default. + + :param ctx: Current context. + :param call: If the default is a callable, call it. Disable to + return the callable instead. + + .. versionchanged:: 8.0.2 + Type casting is no longer performed when getting a default. + + .. versionchanged:: 8.0.1 + Type casting can fail in resilient parsing mode. Invalid + defaults will not prevent showing help text. + + .. versionchanged:: 8.0 + Looks at ``ctx.default_map`` first. + + .. versionchanged:: 8.0 + Added the ``call`` parameter. + """ + value = ctx.lookup_default(self.name, call=False) # type: ignore + + if value is UNSET: + value = self.default + + if call and callable(value): + value = value() + + return value + + def add_to_parser(self, parser: _OptionParser, ctx: Context) -> None: + raise NotImplementedError() + + def consume_value( + self, ctx: Context, opts: cabc.Mapping[str, t.Any] + ) -> tuple[t.Any, ParameterSource]: + """Returns the parameter value produced by the parser. + + If the parser did not produce a value from user input, the value is either + sourced from the environment variable, the default map, or the parameter's + default value. In that order of precedence. + + If no value is found, an internal sentinel value is returned. + + :meta private: + """ + # Collect from the parse the value passed by the user to the CLI. + value = opts.get(self.name, UNSET) # type: ignore + # If the value is set, it means it was sourced from the command line by the + # parser, otherwise it left unset by default. + source = ( + ParameterSource.COMMANDLINE + if value is not UNSET + else ParameterSource.DEFAULT + ) + + if value is UNSET: + envvar_value = self.value_from_envvar(ctx) + if envvar_value is not None: + value = envvar_value + source = ParameterSource.ENVIRONMENT + + if value is UNSET: + default_map_value = ctx.lookup_default(self.name) # type: ignore + if default_map_value is not UNSET: + value = default_map_value + source = ParameterSource.DEFAULT_MAP + + if value is UNSET: + default_value = self.get_default(ctx) + if default_value is not UNSET: + value = default_value + source = ParameterSource.DEFAULT + + return value, source + + def type_cast_value(self, ctx: Context, value: t.Any) -> t.Any: + """Convert and validate a value against the parameter's + :attr:`type`, :attr:`multiple`, and :attr:`nargs`. + """ + if value is None: + if self.multiple or self.nargs == -1: + return () + else: + return value + + def check_iter(value: t.Any) -> cabc.Iterator[t.Any]: + try: + return _check_iter(value) + except TypeError: + # This should only happen when passing in args manually, + # the parser should construct an iterable when parsing + # the command line. + raise BadParameter( + _("Value must be an iterable."), ctx=ctx, param=self + ) from None + + # Define the conversion function based on nargs and type. + + if self.nargs == 1 or self.type.is_composite: + + def convert(value: t.Any) -> t.Any: + return self.type(value, param=self, ctx=ctx) + + elif self.nargs == -1: + + def convert(value: t.Any) -> t.Any: # tuple[t.Any, ...] + return tuple(self.type(x, self, ctx) for x in check_iter(value)) + + else: # nargs > 1 + + def convert(value: t.Any) -> t.Any: # tuple[t.Any, ...] + value = tuple(check_iter(value)) + + if len(value) != self.nargs: + raise BadParameter( + ngettext( + "Takes {nargs} values but 1 was given.", + "Takes {nargs} values but {len} were given.", + len(value), + ).format(nargs=self.nargs, len=len(value)), + ctx=ctx, + param=self, + ) + + return tuple(self.type(x, self, ctx) for x in value) + + if self.multiple: + return tuple(convert(x) for x in check_iter(value)) + + return convert(value) + + def value_is_missing(self, value: t.Any) -> bool: + """A value is considered missing if: + + - it is :attr:`UNSET`, + - or if it is an empty sequence while the parameter is suppose to have + non-single value (i.e. :attr:`nargs` is not ``1`` or :attr:`multiple` is + set). + + :meta private: + """ + if value is UNSET: + return True + + if (self.nargs != 1 or self.multiple) and value == (): + return True + + return False + + def process_value(self, ctx: Context, value: t.Any) -> t.Any: + """Process the value of this parameter: + + 1. Type cast the value using :meth:`type_cast_value`. + 2. Check if the value is missing (see: :meth:`value_is_missing`), and raise + :exc:`MissingParameter` if it is required. + 3. If a :attr:`callback` is set, call it to have the value replaced by the + result of the callback. If the value was not set, the callback receive + ``None``. This keep the legacy behavior as it was before the introduction of + the :attr:`UNSET` sentinel. + + :meta private: + """ + # shelter `type_cast_value` from ever seeing an `UNSET` value by handling the + # cases in which `UNSET` gets special treatment explicitly at this layer + # + # Refs: + # https://github.com/pallets/click/issues/3069 + if value is UNSET: + if self.multiple or self.nargs == -1: + value = () + else: + value = self.type_cast_value(ctx, value) + + if self.required and self.value_is_missing(value): + raise MissingParameter(ctx=ctx, param=self) + + if self.callback is not None: + # Legacy case: UNSET is not exposed directly to the callback, but converted + # to None. + if value is UNSET: + value = None + + # Search for parameters with UNSET values in the context. + unset_keys = {k: None for k, v in ctx.params.items() if v is UNSET} + # No UNSET values, call the callback as usual. + if not unset_keys: + value = self.callback(ctx, self, value) + + # Legacy case: provide a temporarily manipulated context to the callback + # to hide UNSET values as None. + # + # Refs: + # https://github.com/pallets/click/issues/3136 + # https://github.com/pallets/click/pull/3137 + else: + # Add another layer to the context stack to clearly hint that the + # context is temporarily modified. + with ctx: + # Update the context parameters to replace UNSET with None. + ctx.params.update(unset_keys) + # Feed these fake context parameters to the callback. + value = self.callback(ctx, self, value) + # Restore the UNSET values in the context parameters. + ctx.params.update( + { + k: UNSET + for k in unset_keys + # Only restore keys that are present and still None, in case + # the callback modified other parameters. + if k in ctx.params and ctx.params[k] is None + } + ) + + return value + + def resolve_envvar_value(self, ctx: Context) -> str | None: + """Returns the value found in the environment variable(s) attached to this + parameter. + + Environment variables values are `always returned as strings + `_. + + This method returns ``None`` if: + + - the :attr:`envvar` property is not set on the :class:`Parameter`, + - the environment variable is not found in the environment, + - the variable is found in the environment but its value is empty (i.e. the + environment variable is present but has an empty string). + + If :attr:`envvar` is setup with multiple environment variables, + then only the first non-empty value is returned. + + .. caution:: + + The raw value extracted from the environment is not normalized and is + returned as-is. Any normalization or reconciliation is performed later by + the :class:`Parameter`'s :attr:`type`. + + :meta private: + """ + if not self.envvar: + return None + + if isinstance(self.envvar, str): + rv = os.environ.get(self.envvar) + + if rv: + return rv + else: + for envvar in self.envvar: + rv = os.environ.get(envvar) + + # Return the first non-empty value of the list of environment variables. + if rv: + return rv + # Else, absence of value is interpreted as an environment variable that + # is not set, so proceed to the next one. + + return None + + def value_from_envvar(self, ctx: Context) -> str | cabc.Sequence[str] | None: + """Process the raw environment variable string for this parameter. + + Returns the string as-is or splits it into a sequence of strings if the + parameter is expecting multiple values (i.e. its :attr:`nargs` property is set + to a value other than ``1``). + + :meta private: + """ + rv = self.resolve_envvar_value(ctx) + + if rv is not None and self.nargs != 1: + return self.type.split_envvar_value(rv) + + return rv + + def handle_parse_result( + self, ctx: Context, opts: cabc.Mapping[str, t.Any], args: list[str] + ) -> tuple[t.Any, list[str]]: + """Process the value produced by the parser from user input. + + Always process the value through the Parameter's :attr:`type`, wherever it + comes from. + + If the parameter is deprecated, this method warn the user about it. But only if + the value has been explicitly set by the user (and as such, is not coming from + a default). + + :meta private: + """ + with augment_usage_errors(ctx, param=self): + value, source = self.consume_value(ctx, opts) + + ctx.set_parameter_source(self.name, source) # type: ignore + + # Display a deprecation warning if necessary. + if ( + self.deprecated + and value is not UNSET + and source not in (ParameterSource.DEFAULT, ParameterSource.DEFAULT_MAP) + ): + extra_message = ( + f" {self.deprecated}" if isinstance(self.deprecated, str) else "" + ) + message = _( + "DeprecationWarning: The {param_type} {name!r} is deprecated." + "{extra_message}" + ).format( + param_type=self.param_type_name, + name=self.human_readable_name, + extra_message=extra_message, + ) + echo(style(message, fg="red"), err=True) + + # Process the value through the parameter's type. + try: + value = self.process_value(ctx, value) + except Exception: + if not ctx.resilient_parsing: + raise + # In resilient parsing mode, we do not want to fail the command if the + # value is incompatible with the parameter type, so we reset the value + # to UNSET, which will be interpreted as a missing value. + value = UNSET + + # Add parameter's value to the context. + if ( + self.expose_value + # We skip adding the value if it was previously set by another parameter + # targeting the same variable name. This prevents parameters competing for + # the same name to override each other. + and (self.name not in ctx.params or ctx.params[self.name] is UNSET) + ): + # Click is logically enforcing that the name is None if the parameter is + # not to be exposed. We still assert it here to please the type checker. + assert self.name is not None, ( + f"{self!r} parameter's name should not be None when exposing value." + ) + ctx.params[self.name] = value + + return value, args + + def get_help_record(self, ctx: Context) -> tuple[str, str] | None: + pass + + def get_usage_pieces(self, ctx: Context) -> list[str]: + return [] + + def get_error_hint(self, ctx: Context) -> str: + """Get a stringified version of the param for use in error messages to + indicate which param caused the error. + """ + hint_list = self.opts or [self.human_readable_name] + return " / ".join(f"'{x}'" for x in hint_list) + + def shell_complete(self, ctx: Context, incomplete: str) -> list[CompletionItem]: + """Return a list of completions for the incomplete value. If a + ``shell_complete`` function was given during init, it is used. + Otherwise, the :attr:`type` + :meth:`~click.types.ParamType.shell_complete` function is used. + + :param ctx: Invocation context for this command. + :param incomplete: Value being completed. May be empty. + + .. versionadded:: 8.0 + """ + if self._custom_shell_complete is not None: + results = self._custom_shell_complete(ctx, self, incomplete) + + if results and isinstance(results[0], str): + from click.shell_completion import CompletionItem + + results = [CompletionItem(c) for c in results] + + return t.cast("list[CompletionItem]", results) + + return self.type.shell_complete(ctx, self, incomplete) + + +class Option(Parameter): + """Options are usually optional values on the command line and + have some extra features that arguments don't have. + + All other parameters are passed onwards to the parameter constructor. + + :param show_default: Show the default value for this option in its + help text. Values are not shown by default, unless + :attr:`Context.show_default` is ``True``. If this value is a + string, it shows that string in parentheses instead of the + actual value. This is particularly useful for dynamic options. + For single option boolean flags, the default remains hidden if + its value is ``False``. + :param show_envvar: Controls if an environment variable should be + shown on the help page and error messages. + Normally, environment variables are not shown. + :param prompt: If set to ``True`` or a non empty string then the + user will be prompted for input. If set to ``True`` the prompt + will be the option name capitalized. A deprecated option cannot be + prompted. + :param confirmation_prompt: Prompt a second time to confirm the + value if it was prompted for. Can be set to a string instead of + ``True`` to customize the message. + :param prompt_required: If set to ``False``, the user will be + prompted for input only when the option was specified as a flag + without a value. + :param hide_input: If this is ``True`` then the input on the prompt + will be hidden from the user. This is useful for password input. + :param is_flag: forces this option to act as a flag. The default is + auto detection. + :param flag_value: which value should be used for this flag if it's + enabled. This is set to a boolean automatically if + the option string contains a slash to mark two options. + :param multiple: if this is set to `True` then the argument is accepted + multiple times and recorded. This is similar to ``nargs`` + in how it works but supports arbitrary number of + arguments. + :param count: this flag makes an option increment an integer. + :param allow_from_autoenv: if this is enabled then the value of this + parameter will be pulled from an environment + variable in case a prefix is defined on the + context. + :param help: the help string. + :param hidden: hide this option from help outputs. + :param attrs: Other command arguments described in :class:`Parameter`. + + .. versionchanged:: 8.2 + ``envvar`` used with ``flag_value`` will always use the ``flag_value``, + previously it would use the value of the environment variable. + + .. versionchanged:: 8.1 + Help text indentation is cleaned here instead of only in the + ``@option`` decorator. + + .. versionchanged:: 8.1 + The ``show_default`` parameter overrides + ``Context.show_default``. + + .. versionchanged:: 8.1 + The default of a single option boolean flag is not shown if the + default value is ``False``. + + .. versionchanged:: 8.0.1 + ``type`` is detected from ``flag_value`` if given. + """ + + param_type_name = "option" + + def __init__( + self, + param_decls: cabc.Sequence[str] | None = None, + show_default: bool | str | None = None, + prompt: bool | str = False, + confirmation_prompt: bool | str = False, + prompt_required: bool = True, + hide_input: bool = False, + is_flag: bool | None = None, + flag_value: t.Any = UNSET, + multiple: bool = False, + count: bool = False, + allow_from_autoenv: bool = True, + type: types.ParamType | t.Any | None = None, + help: str | None = None, + hidden: bool = False, + show_choices: bool = True, + show_envvar: bool = False, + deprecated: bool | str = False, + **attrs: t.Any, + ) -> None: + if help: + help = inspect.cleandoc(help) + + super().__init__( + param_decls, type=type, multiple=multiple, deprecated=deprecated, **attrs + ) + + if prompt is True: + if self.name is None: + raise TypeError("'name' is required with 'prompt=True'.") + + prompt_text: str | None = self.name.replace("_", " ").capitalize() + elif prompt is False: + prompt_text = None + else: + prompt_text = prompt + + if deprecated: + deprecated_message = ( + f"(DEPRECATED: {deprecated})" + if isinstance(deprecated, str) + else "(DEPRECATED)" + ) + help = help + deprecated_message if help is not None else deprecated_message + + self.prompt = prompt_text + self.confirmation_prompt = confirmation_prompt + self.prompt_required = prompt_required + self.hide_input = hide_input + self.hidden = hidden + + # The _flag_needs_value property tells the parser that this option is a flag + # that cannot be used standalone and needs a value. With this information, the + # parser can determine whether to consider the next user-provided argument in + # the CLI as a value for this flag or as a new option. + # If prompt is enabled but not required, then it opens the possibility for the + # option to gets its value from the user. + self._flag_needs_value = self.prompt is not None and not self.prompt_required + + # Auto-detect if this is a flag or not. + if is_flag is None: + # Implicitly a flag because flag_value was set. + if flag_value is not UNSET: + is_flag = True + # Not a flag, but when used as a flag it shows a prompt. + elif self._flag_needs_value: + is_flag = False + # Implicitly a flag because secondary options names were given. + elif self.secondary_opts: + is_flag = True + # The option is explicitly not a flag. But we do not know yet if it needs a + # value or not. So we look at the default value to determine it. + elif is_flag is False and not self._flag_needs_value: + self._flag_needs_value = self.default is UNSET + + if is_flag: + # Set missing default for flags if not explicitly required or prompted. + if self.default is UNSET and not self.required and not self.prompt: + if multiple: + self.default = () + + # Auto-detect the type of the flag based on the flag_value. + if type is None: + # A flag without a flag_value is a boolean flag. + if flag_value is UNSET: + self.type: types.ParamType = types.BoolParamType() + # If the flag value is a boolean, use BoolParamType. + elif isinstance(flag_value, bool): + self.type = types.BoolParamType() + # Otherwise, guess the type from the flag value. + else: + self.type = types.convert_type(None, flag_value) + + self.is_flag: bool = bool(is_flag) + self.is_bool_flag: bool = bool( + is_flag and isinstance(self.type, types.BoolParamType) + ) + self.flag_value: t.Any = flag_value + + # Set boolean flag default to False if unset and not required. + if self.is_bool_flag: + if self.default is UNSET and not self.required: + self.default = False + + # Support the special case of aligning the default value with the flag_value + # for flags whose default is explicitly set to True. Note that as long as we + # have this condition, there is no way a flag can have a default set to True, + # and a flag_value set to something else. Refs: + # https://github.com/pallets/click/issues/3024#issuecomment-3146199461 + # https://github.com/pallets/click/pull/3030/commits/06847da + if self.default is True and self.flag_value is not UNSET: + self.default = self.flag_value + + # Set the default flag_value if it is not set. + if self.flag_value is UNSET: + if self.is_flag: + self.flag_value = True + else: + self.flag_value = None + + # Counting. + self.count = count + if count: + if type is None: + self.type = types.IntRange(min=0) + if self.default is UNSET: + self.default = 0 + + self.allow_from_autoenv = allow_from_autoenv + self.help = help + self.show_default = show_default + self.show_choices = show_choices + self.show_envvar = show_envvar + + if __debug__: + if deprecated and prompt: + raise ValueError("`deprecated` options cannot use `prompt`.") + + if self.nargs == -1: + raise TypeError("nargs=-1 is not supported for options.") + + if not self.is_bool_flag and self.secondary_opts: + raise TypeError("Secondary flag is not valid for non-boolean flag.") + + if self.is_bool_flag and self.hide_input and self.prompt is not None: + raise TypeError( + "'prompt' with 'hide_input' is not valid for boolean flag." + ) + + if self.count: + if self.multiple: + raise TypeError("'count' is not valid with 'multiple'.") + + if self.is_flag: + raise TypeError("'count' is not valid with 'is_flag'.") + + def to_info_dict(self) -> dict[str, t.Any]: + """ + .. versionchanged:: 8.3.0 + Returns ``None`` for the :attr:`flag_value` if it was not set. + """ + info_dict = super().to_info_dict() + info_dict.update( + help=self.help, + prompt=self.prompt, + is_flag=self.is_flag, + # We explicitly hide the :attr:`UNSET` value to the user, as we choose to + # make it an implementation detail. And because ``to_info_dict`` has been + # designed for documentation purposes, we return ``None`` instead. + flag_value=self.flag_value if self.flag_value is not UNSET else None, + count=self.count, + hidden=self.hidden, + ) + return info_dict + + def get_error_hint(self, ctx: Context) -> str: + result = super().get_error_hint(ctx) + if self.show_envvar and self.envvar is not None: + result += f" (env var: '{self.envvar}')" + return result + + def _parse_decls( + self, decls: cabc.Sequence[str], expose_value: bool + ) -> tuple[str | None, list[str], list[str]]: + opts = [] + secondary_opts = [] + name = None + possible_names = [] + + for decl in decls: + if decl.isidentifier(): + if name is not None: + raise TypeError(f"Name '{name}' defined twice") + name = decl + else: + split_char = ";" if decl[:1] == "/" else "/" + if split_char in decl: + first, second = decl.split(split_char, 1) + first = first.rstrip() + if first: + possible_names.append(_split_opt(first)) + opts.append(first) + second = second.lstrip() + if second: + secondary_opts.append(second.lstrip()) + if first == second: + raise ValueError( + f"Boolean option {decl!r} cannot use the" + " same flag for true/false." + ) + else: + possible_names.append(_split_opt(decl)) + opts.append(decl) + + if name is None and possible_names: + possible_names.sort(key=lambda x: -len(x[0])) # group long options first + name = possible_names[0][1].replace("-", "_").lower() + if not name.isidentifier(): + name = None + + if name is None: + if not expose_value: + return None, opts, secondary_opts + raise TypeError( + f"Could not determine name for option with declarations {decls!r}" + ) + + if not opts and not secondary_opts: + raise TypeError( + f"No options defined but a name was passed ({name})." + " Did you mean to declare an argument instead? Did" + f" you mean to pass '--{name}'?" + ) + + return name, opts, secondary_opts + + def add_to_parser(self, parser: _OptionParser, ctx: Context) -> None: + if self.multiple: + action = "append" + elif self.count: + action = "count" + else: + action = "store" + + if self.is_flag: + action = f"{action}_const" + + if self.is_bool_flag and self.secondary_opts: + parser.add_option( + obj=self, opts=self.opts, dest=self.name, action=action, const=True + ) + parser.add_option( + obj=self, + opts=self.secondary_opts, + dest=self.name, + action=action, + const=False, + ) + else: + parser.add_option( + obj=self, + opts=self.opts, + dest=self.name, + action=action, + const=self.flag_value, + ) + else: + parser.add_option( + obj=self, + opts=self.opts, + dest=self.name, + action=action, + nargs=self.nargs, + ) + + def get_help_record(self, ctx: Context) -> tuple[str, str] | None: + if self.hidden: + return None + + any_prefix_is_slash = False + + def _write_opts(opts: cabc.Sequence[str]) -> str: + nonlocal any_prefix_is_slash + + rv, any_slashes = join_options(opts) + + if any_slashes: + any_prefix_is_slash = True + + if not self.is_flag and not self.count: + rv += f" {self.make_metavar(ctx=ctx)}" + + return rv + + rv = [_write_opts(self.opts)] + + if self.secondary_opts: + rv.append(_write_opts(self.secondary_opts)) + + help = self.help or "" + + extra = self.get_help_extra(ctx) + extra_items = [] + if "envvars" in extra: + extra_items.append( + _("env var: {var}").format(var=", ".join(extra["envvars"])) + ) + if "default" in extra: + extra_items.append(_("default: {default}").format(default=extra["default"])) + if "range" in extra: + extra_items.append(extra["range"]) + if "required" in extra: + extra_items.append(_(extra["required"])) + + if extra_items: + extra_str = "; ".join(extra_items) + help = f"{help} [{extra_str}]" if help else f"[{extra_str}]" + + return ("; " if any_prefix_is_slash else " / ").join(rv), help + + def get_help_extra(self, ctx: Context) -> types.OptionHelpExtra: + extra: types.OptionHelpExtra = {} + + if self.show_envvar: + envvar = self.envvar + + if envvar is None: + if ( + self.allow_from_autoenv + and ctx.auto_envvar_prefix is not None + and self.name is not None + ): + envvar = f"{ctx.auto_envvar_prefix}_{self.name.upper()}" + + if envvar is not None: + if isinstance(envvar, str): + extra["envvars"] = (envvar,) + else: + extra["envvars"] = tuple(str(d) for d in envvar) + + # Temporarily enable resilient parsing to avoid type casting + # failing for the default. Might be possible to extend this to + # help formatting in general. + resilient = ctx.resilient_parsing + ctx.resilient_parsing = True + + try: + default_value = self.get_default(ctx, call=False) + finally: + ctx.resilient_parsing = resilient + + show_default = False + show_default_is_str = False + + if self.show_default is not None: + if isinstance(self.show_default, str): + show_default_is_str = show_default = True + else: + show_default = self.show_default + elif ctx.show_default is not None: + show_default = ctx.show_default + + if show_default_is_str or ( + show_default and (default_value not in (None, UNSET)) + ): + if show_default_is_str: + default_string = f"({self.show_default})" + elif isinstance(default_value, (list, tuple)): + default_string = ", ".join(str(d) for d in default_value) + elif isinstance(default_value, enum.Enum): + default_string = default_value.name + elif inspect.isfunction(default_value): + default_string = _("(dynamic)") + elif self.is_bool_flag and self.secondary_opts: + # For boolean flags that have distinct True/False opts, + # use the opt without prefix instead of the value. + default_string = _split_opt( + (self.opts if default_value else self.secondary_opts)[0] + )[1] + elif self.is_bool_flag and not self.secondary_opts and not default_value: + default_string = "" + elif default_value == "": + default_string = '""' + else: + default_string = str(default_value) + + if default_string: + extra["default"] = default_string + + if ( + isinstance(self.type, types._NumberRangeBase) + # skip count with default range type + and not (self.count and self.type.min == 0 and self.type.max is None) + ): + range_str = self.type._describe_range() + + if range_str: + extra["range"] = range_str + + if self.required: + extra["required"] = "required" + + return extra + + def prompt_for_value(self, ctx: Context) -> t.Any: + """This is an alternative flow that can be activated in the full + value processing if a value does not exist. It will prompt the + user until a valid value exists and then returns the processed + value as result. + """ + assert self.prompt is not None + + # Calculate the default before prompting anything to lock in the value before + # attempting any user interaction. + default = self.get_default(ctx) + + # A boolean flag can use a simplified [y/n] confirmation prompt. + if self.is_bool_flag: + # If we have no boolean default, we force the user to explicitly provide + # one. + if default in (UNSET, None): + default = None + # Nothing prevent you to declare an option that is simultaneously: + # 1) auto-detected as a boolean flag, + # 2) allowed to prompt, and + # 3) still declare a non-boolean default. + # This forced casting into a boolean is necessary to align any non-boolean + # default to the prompt, which is going to be a [y/n]-style confirmation + # because the option is still a boolean flag. That way, instead of [y/n], + # we get [Y/n] or [y/N] depending on the truthy value of the default. + # Refs: https://github.com/pallets/click/pull/3030#discussion_r2289180249 + else: + default = bool(default) + return confirm(self.prompt, default) + + # If show_default is set to True/False, provide this to `prompt` as well. For + # non-bool values of `show_default`, we use `prompt`'s default behavior + prompt_kwargs: t.Any = {} + if isinstance(self.show_default, bool): + prompt_kwargs["show_default"] = self.show_default + + return prompt( + self.prompt, + # Use ``None`` to inform the prompt() function to reiterate until a valid + # value is provided by the user if we have no default. + default=None if default is UNSET else default, + type=self.type, + hide_input=self.hide_input, + show_choices=self.show_choices, + confirmation_prompt=self.confirmation_prompt, + value_proc=lambda x: self.process_value(ctx, x), + **prompt_kwargs, + ) + + def resolve_envvar_value(self, ctx: Context) -> str | None: + """:class:`Option` resolves its environment variable the same way as + :func:`Parameter.resolve_envvar_value`, but it also supports + :attr:`Context.auto_envvar_prefix`. If we could not find an environment from + the :attr:`envvar` property, we fallback on :attr:`Context.auto_envvar_prefix` + to build dynamiccaly the environment variable name using the + :python:`{ctx.auto_envvar_prefix}_{self.name.upper()}` template. + + :meta private: + """ + rv = super().resolve_envvar_value(ctx) + + if rv is not None: + return rv + + if ( + self.allow_from_autoenv + and ctx.auto_envvar_prefix is not None + and self.name is not None + ): + envvar = f"{ctx.auto_envvar_prefix}_{self.name.upper()}" + rv = os.environ.get(envvar) + + if rv: + return rv + + return None + + def value_from_envvar(self, ctx: Context) -> t.Any: + """For :class:`Option`, this method processes the raw environment variable + string the same way as :func:`Parameter.value_from_envvar` does. + + But in the case of non-boolean flags, the value is analyzed to determine if the + flag is activated or not, and returns a boolean of its activation, or the + :attr:`flag_value` if the latter is set. + + This method also takes care of repeated options (i.e. options with + :attr:`multiple` set to ``True``). + + :meta private: + """ + rv = self.resolve_envvar_value(ctx) + + # Absent environment variable or an empty string is interpreted as unset. + if rv is None: + return None + + # Non-boolean flags are more liberal in what they accept. But a flag being a + # flag, its envvar value still needs to be analyzed to determine if the flag is + # activated or not. + if self.is_flag and not self.is_bool_flag: + # If the flag_value is set and match the envvar value, return it + # directly. + if self.flag_value is not UNSET and rv == self.flag_value: + return self.flag_value + # Analyze the envvar value as a boolean to know if the flag is + # activated or not. + return types.BoolParamType.str_to_bool(rv) + + # Split the envvar value if it is allowed to be repeated. + value_depth = (self.nargs != 1) + bool(self.multiple) + if value_depth > 0: + multi_rv = self.type.split_envvar_value(rv) + if self.multiple and self.nargs != 1: + multi_rv = batch(multi_rv, self.nargs) # type: ignore[assignment] + + return multi_rv + + return rv + + def consume_value( + self, ctx: Context, opts: cabc.Mapping[str, Parameter] + ) -> tuple[t.Any, ParameterSource]: + """For :class:`Option`, the value can be collected from an interactive prompt + if the option is a flag that needs a value (and the :attr:`prompt` property is + set). + + Additionally, this method handles flag option that are activated without a + value, in which case the :attr:`flag_value` is returned. + + :meta private: + """ + value, source = super().consume_value(ctx, opts) + + # The parser will emit a sentinel value if the option is allowed to as a flag + # without a value. + if value is FLAG_NEEDS_VALUE: + # If the option allows for a prompt, we start an interaction with the user. + if self.prompt is not None and not ctx.resilient_parsing: + value = self.prompt_for_value(ctx) + source = ParameterSource.PROMPT + # Else the flag takes its flag_value as value. + else: + value = self.flag_value + source = ParameterSource.COMMANDLINE + + # A flag which is activated always returns the flag value, unless the value + # comes from the explicitly sets default. + elif ( + self.is_flag + and value is True + and not self.is_bool_flag + and source not in (ParameterSource.DEFAULT, ParameterSource.DEFAULT_MAP) + ): + value = self.flag_value + + # Re-interpret a multiple option which has been sent as-is by the parser. + # Here we replace each occurrence of value-less flags (marked by the + # FLAG_NEEDS_VALUE sentinel) with the flag_value. + elif ( + self.multiple + and value is not UNSET + and source not in (ParameterSource.DEFAULT, ParameterSource.DEFAULT_MAP) + and any(v is FLAG_NEEDS_VALUE for v in value) + ): + value = [self.flag_value if v is FLAG_NEEDS_VALUE else v for v in value] + source = ParameterSource.COMMANDLINE + + # The value wasn't set, or used the param's default, prompt for one to the user + # if prompting is enabled. + elif ( + ( + value is UNSET + or source in (ParameterSource.DEFAULT, ParameterSource.DEFAULT_MAP) + ) + and self.prompt is not None + and (self.required or self.prompt_required) + and not ctx.resilient_parsing + ): + value = self.prompt_for_value(ctx) + source = ParameterSource.PROMPT + + return value, source + + def process_value(self, ctx: Context, value: t.Any) -> t.Any: + # process_value has to be overridden on Options in order to capture + # `value == UNSET` cases before `type_cast_value()` gets called. + # + # Refs: + # https://github.com/pallets/click/issues/3069 + if self.is_flag and not self.required and self.is_bool_flag and value is UNSET: + value = False + + if self.callback is not None: + value = self.callback(ctx, self, value) + + return value + + # in the normal case, rely on Parameter.process_value + return super().process_value(ctx, value) + + +class Argument(Parameter): + """Arguments are positional parameters to a command. They generally + provide fewer features than options but can have infinite ``nargs`` + and are required by default. + + All parameters are passed onwards to the constructor of :class:`Parameter`. + """ + + param_type_name = "argument" + + def __init__( + self, + param_decls: cabc.Sequence[str], + required: bool | None = None, + **attrs: t.Any, + ) -> None: + # Auto-detect the requirement status of the argument if not explicitly set. + if required is None: + # The argument gets automatically required if it has no explicit default + # value set and is setup to match at least one value. + if attrs.get("default", UNSET) is UNSET: + required = attrs.get("nargs", 1) > 0 + # If the argument has a default value, it is not required. + else: + required = False + + if "multiple" in attrs: + raise TypeError("__init__() got an unexpected keyword argument 'multiple'.") + + super().__init__(param_decls, required=required, **attrs) + + @property + def human_readable_name(self) -> str: + if self.metavar is not None: + return self.metavar + return self.name.upper() # type: ignore + + def make_metavar(self, ctx: Context) -> str: + if self.metavar is not None: + return self.metavar + var = self.type.get_metavar(param=self, ctx=ctx) + if not var: + var = self.name.upper() # type: ignore + if self.deprecated: + var += "!" + if not self.required: + var = f"[{var}]" + if self.nargs != 1: + var += "..." + return var + + def _parse_decls( + self, decls: cabc.Sequence[str], expose_value: bool + ) -> tuple[str | None, list[str], list[str]]: + if not decls: + if not expose_value: + return None, [], [] + raise TypeError("Argument is marked as exposed, but does not have a name.") + if len(decls) == 1: + name = arg = decls[0] + name = name.replace("-", "_").lower() + else: + raise TypeError( + "Arguments take exactly one parameter declaration, got" + f" {len(decls)}: {decls}." + ) + return name, [arg], [] + + def get_usage_pieces(self, ctx: Context) -> list[str]: + return [self.make_metavar(ctx)] + + def get_error_hint(self, ctx: Context) -> str: + return f"'{self.make_metavar(ctx)}'" + + def add_to_parser(self, parser: _OptionParser, ctx: Context) -> None: + parser.add_argument(dest=self.name, nargs=self.nargs, obj=self) + + +def __getattr__(name: str) -> object: + import warnings + + if name == "BaseCommand": + warnings.warn( + "'BaseCommand' is deprecated and will be removed in Click 9.0. Use" + " 'Command' instead.", + DeprecationWarning, + stacklevel=2, + ) + return _BaseCommand + + if name == "MultiCommand": + warnings.warn( + "'MultiCommand' is deprecated and will be removed in Click 9.0. Use" + " 'Group' instead.", + DeprecationWarning, + stacklevel=2, + ) + return _MultiCommand + + raise AttributeError(name) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/decorators.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/decorators.py new file mode 100644 index 0000000000000000000000000000000000000000..21f4c342245fa93a7946b17d7661e0d2fa6a0c29 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/decorators.py @@ -0,0 +1,551 @@ +from __future__ import annotations + +import inspect +import typing as t +from functools import update_wrapper +from gettext import gettext as _ + +from .core import Argument +from .core import Command +from .core import Context +from .core import Group +from .core import Option +from .core import Parameter +from .globals import get_current_context +from .utils import echo + +if t.TYPE_CHECKING: + import typing_extensions as te + + P = te.ParamSpec("P") + +R = t.TypeVar("R") +T = t.TypeVar("T") +_AnyCallable = t.Callable[..., t.Any] +FC = t.TypeVar("FC", bound="_AnyCallable | Command") + + +def pass_context(f: t.Callable[te.Concatenate[Context, P], R]) -> t.Callable[P, R]: + """Marks a callback as wanting to receive the current context + object as first argument. + """ + + def new_func(*args: P.args, **kwargs: P.kwargs) -> R: + return f(get_current_context(), *args, **kwargs) + + return update_wrapper(new_func, f) + + +def pass_obj(f: t.Callable[te.Concatenate[T, P], R]) -> t.Callable[P, R]: + """Similar to :func:`pass_context`, but only pass the object on the + context onwards (:attr:`Context.obj`). This is useful if that object + represents the state of a nested system. + """ + + def new_func(*args: P.args, **kwargs: P.kwargs) -> R: + return f(get_current_context().obj, *args, **kwargs) + + return update_wrapper(new_func, f) + + +def make_pass_decorator( + object_type: type[T], ensure: bool = False +) -> t.Callable[[t.Callable[te.Concatenate[T, P], R]], t.Callable[P, R]]: + """Given an object type this creates a decorator that will work + similar to :func:`pass_obj` but instead of passing the object of the + current context, it will find the innermost context of type + :func:`object_type`. + + This generates a decorator that works roughly like this:: + + from functools import update_wrapper + + def decorator(f): + @pass_context + def new_func(ctx, *args, **kwargs): + obj = ctx.find_object(object_type) + return ctx.invoke(f, obj, *args, **kwargs) + return update_wrapper(new_func, f) + return decorator + + :param object_type: the type of the object to pass. + :param ensure: if set to `True`, a new object will be created and + remembered on the context if it's not there yet. + """ + + def decorator(f: t.Callable[te.Concatenate[T, P], R]) -> t.Callable[P, R]: + def new_func(*args: P.args, **kwargs: P.kwargs) -> R: + ctx = get_current_context() + + obj: T | None + if ensure: + obj = ctx.ensure_object(object_type) + else: + obj = ctx.find_object(object_type) + + if obj is None: + raise RuntimeError( + "Managed to invoke callback without a context" + f" object of type {object_type.__name__!r}" + " existing." + ) + + return ctx.invoke(f, obj, *args, **kwargs) + + return update_wrapper(new_func, f) + + return decorator + + +def pass_meta_key( + key: str, *, doc_description: str | None = None +) -> t.Callable[[t.Callable[te.Concatenate[T, P], R]], t.Callable[P, R]]: + """Create a decorator that passes a key from + :attr:`click.Context.meta` as the first argument to the decorated + function. + + :param key: Key in ``Context.meta`` to pass. + :param doc_description: Description of the object being passed, + inserted into the decorator's docstring. Defaults to "the 'key' + key from Context.meta". + + .. versionadded:: 8.0 + """ + + def decorator(f: t.Callable[te.Concatenate[T, P], R]) -> t.Callable[P, R]: + def new_func(*args: P.args, **kwargs: P.kwargs) -> R: + ctx = get_current_context() + obj = ctx.meta[key] + return ctx.invoke(f, obj, *args, **kwargs) + + return update_wrapper(new_func, f) + + if doc_description is None: + doc_description = f"the {key!r} key from :attr:`click.Context.meta`" + + decorator.__doc__ = ( + f"Decorator that passes {doc_description} as the first argument" + " to the decorated function." + ) + return decorator + + +CmdType = t.TypeVar("CmdType", bound=Command) + + +# variant: no call, directly as decorator for a function. +@t.overload +def command(name: _AnyCallable) -> Command: ... + + +# variant: with positional name and with positional or keyword cls argument: +# @command(namearg, CommandCls, ...) or @command(namearg, cls=CommandCls, ...) +@t.overload +def command( + name: str | None, + cls: type[CmdType], + **attrs: t.Any, +) -> t.Callable[[_AnyCallable], CmdType]: ... + + +# variant: name omitted, cls _must_ be a keyword argument, @command(cls=CommandCls, ...) +@t.overload +def command( + name: None = None, + *, + cls: type[CmdType], + **attrs: t.Any, +) -> t.Callable[[_AnyCallable], CmdType]: ... + + +# variant: with optional string name, no cls argument provided. +@t.overload +def command( + name: str | None = ..., cls: None = None, **attrs: t.Any +) -> t.Callable[[_AnyCallable], Command]: ... + + +def command( + name: str | _AnyCallable | None = None, + cls: type[CmdType] | None = None, + **attrs: t.Any, +) -> Command | t.Callable[[_AnyCallable], Command | CmdType]: + r"""Creates a new :class:`Command` and uses the decorated function as + callback. This will also automatically attach all decorated + :func:`option`\s and :func:`argument`\s as parameters to the command. + + The name of the command defaults to the name of the function, converted to + lowercase, with underscores ``_`` replaced by dashes ``-``, and the suffixes + ``_command``, ``_cmd``, ``_group``, and ``_grp`` are removed. For example, + ``init_data_command`` becomes ``init-data``. + + All keyword arguments are forwarded to the underlying command class. + For the ``params`` argument, any decorated params are appended to + the end of the list. + + Once decorated the function turns into a :class:`Command` instance + that can be invoked as a command line utility or be attached to a + command :class:`Group`. + + :param name: The name of the command. Defaults to modifying the function's + name as described above. + :param cls: The command class to create. Defaults to :class:`Command`. + + .. versionchanged:: 8.2 + The suffixes ``_command``, ``_cmd``, ``_group``, and ``_grp`` are + removed when generating the name. + + .. versionchanged:: 8.1 + This decorator can be applied without parentheses. + + .. versionchanged:: 8.1 + The ``params`` argument can be used. Decorated params are + appended to the end of the list. + """ + + func: t.Callable[[_AnyCallable], t.Any] | None = None + + if callable(name): + func = name + name = None + assert cls is None, "Use 'command(cls=cls)(callable)' to specify a class." + assert not attrs, "Use 'command(**kwargs)(callable)' to provide arguments." + + if cls is None: + cls = t.cast("type[CmdType]", Command) + + def decorator(f: _AnyCallable) -> CmdType: + if isinstance(f, Command): + raise TypeError("Attempted to convert a callback into a command twice.") + + attr_params = attrs.pop("params", None) + params = attr_params if attr_params is not None else [] + + try: + decorator_params = f.__click_params__ # type: ignore + except AttributeError: + pass + else: + del f.__click_params__ # type: ignore + params.extend(reversed(decorator_params)) + + if attrs.get("help") is None: + attrs["help"] = f.__doc__ + + if t.TYPE_CHECKING: + assert cls is not None + assert not callable(name) + + if name is not None: + cmd_name = name + else: + cmd_name = f.__name__.lower().replace("_", "-") + cmd_left, sep, suffix = cmd_name.rpartition("-") + + if sep and suffix in {"command", "cmd", "group", "grp"}: + cmd_name = cmd_left + + cmd = cls(name=cmd_name, callback=f, params=params, **attrs) + cmd.__doc__ = f.__doc__ + return cmd + + if func is not None: + return decorator(func) + + return decorator + + +GrpType = t.TypeVar("GrpType", bound=Group) + + +# variant: no call, directly as decorator for a function. +@t.overload +def group(name: _AnyCallable) -> Group: ... + + +# variant: with positional name and with positional or keyword cls argument: +# @group(namearg, GroupCls, ...) or @group(namearg, cls=GroupCls, ...) +@t.overload +def group( + name: str | None, + cls: type[GrpType], + **attrs: t.Any, +) -> t.Callable[[_AnyCallable], GrpType]: ... + + +# variant: name omitted, cls _must_ be a keyword argument, @group(cmd=GroupCls, ...) +@t.overload +def group( + name: None = None, + *, + cls: type[GrpType], + **attrs: t.Any, +) -> t.Callable[[_AnyCallable], GrpType]: ... + + +# variant: with optional string name, no cls argument provided. +@t.overload +def group( + name: str | None = ..., cls: None = None, **attrs: t.Any +) -> t.Callable[[_AnyCallable], Group]: ... + + +def group( + name: str | _AnyCallable | None = None, + cls: type[GrpType] | None = None, + **attrs: t.Any, +) -> Group | t.Callable[[_AnyCallable], Group | GrpType]: + """Creates a new :class:`Group` with a function as callback. This + works otherwise the same as :func:`command` just that the `cls` + parameter is set to :class:`Group`. + + .. versionchanged:: 8.1 + This decorator can be applied without parentheses. + """ + if cls is None: + cls = t.cast("type[GrpType]", Group) + + if callable(name): + return command(cls=cls, **attrs)(name) + + return command(name, cls, **attrs) + + +def _param_memo(f: t.Callable[..., t.Any], param: Parameter) -> None: + if isinstance(f, Command): + f.params.append(param) + else: + if not hasattr(f, "__click_params__"): + f.__click_params__ = [] # type: ignore + + f.__click_params__.append(param) # type: ignore + + +def argument( + *param_decls: str, cls: type[Argument] | None = None, **attrs: t.Any +) -> t.Callable[[FC], FC]: + """Attaches an argument to the command. All positional arguments are + passed as parameter declarations to :class:`Argument`; all keyword + arguments are forwarded unchanged (except ``cls``). + This is equivalent to creating an :class:`Argument` instance manually + and attaching it to the :attr:`Command.params` list. + + For the default argument class, refer to :class:`Argument` and + :class:`Parameter` for descriptions of parameters. + + :param cls: the argument class to instantiate. This defaults to + :class:`Argument`. + :param param_decls: Passed as positional arguments to the constructor of + ``cls``. + :param attrs: Passed as keyword arguments to the constructor of ``cls``. + """ + if cls is None: + cls = Argument + + def decorator(f: FC) -> FC: + _param_memo(f, cls(param_decls, **attrs)) + return f + + return decorator + + +def option( + *param_decls: str, cls: type[Option] | None = None, **attrs: t.Any +) -> t.Callable[[FC], FC]: + """Attaches an option to the command. All positional arguments are + passed as parameter declarations to :class:`Option`; all keyword + arguments are forwarded unchanged (except ``cls``). + This is equivalent to creating an :class:`Option` instance manually + and attaching it to the :attr:`Command.params` list. + + For the default option class, refer to :class:`Option` and + :class:`Parameter` for descriptions of parameters. + + :param cls: the option class to instantiate. This defaults to + :class:`Option`. + :param param_decls: Passed as positional arguments to the constructor of + ``cls``. + :param attrs: Passed as keyword arguments to the constructor of ``cls``. + """ + if cls is None: + cls = Option + + def decorator(f: FC) -> FC: + _param_memo(f, cls(param_decls, **attrs)) + return f + + return decorator + + +def confirmation_option(*param_decls: str, **kwargs: t.Any) -> t.Callable[[FC], FC]: + """Add a ``--yes`` option which shows a prompt before continuing if + not passed. If the prompt is declined, the program will exit. + + :param param_decls: One or more option names. Defaults to the single + value ``"--yes"``. + :param kwargs: Extra arguments are passed to :func:`option`. + """ + + def callback(ctx: Context, param: Parameter, value: bool) -> None: + if not value: + ctx.abort() + + if not param_decls: + param_decls = ("--yes",) + + kwargs.setdefault("is_flag", True) + kwargs.setdefault("callback", callback) + kwargs.setdefault("expose_value", False) + kwargs.setdefault("prompt", "Do you want to continue?") + kwargs.setdefault("help", "Confirm the action without prompting.") + return option(*param_decls, **kwargs) + + +def password_option(*param_decls: str, **kwargs: t.Any) -> t.Callable[[FC], FC]: + """Add a ``--password`` option which prompts for a password, hiding + input and asking to enter the value again for confirmation. + + :param param_decls: One or more option names. Defaults to the single + value ``"--password"``. + :param kwargs: Extra arguments are passed to :func:`option`. + """ + if not param_decls: + param_decls = ("--password",) + + kwargs.setdefault("prompt", True) + kwargs.setdefault("confirmation_prompt", True) + kwargs.setdefault("hide_input", True) + return option(*param_decls, **kwargs) + + +def version_option( + version: str | None = None, + *param_decls: str, + package_name: str | None = None, + prog_name: str | None = None, + message: str | None = None, + **kwargs: t.Any, +) -> t.Callable[[FC], FC]: + """Add a ``--version`` option which immediately prints the version + number and exits the program. + + If ``version`` is not provided, Click will try to detect it using + :func:`importlib.metadata.version` to get the version for the + ``package_name``. + + If ``package_name`` is not provided, Click will try to detect it by + inspecting the stack frames. This will be used to detect the + version, so it must match the name of the installed package. + + :param version: The version number to show. If not provided, Click + will try to detect it. + :param param_decls: One or more option names. Defaults to the single + value ``"--version"``. + :param package_name: The package name to detect the version from. If + not provided, Click will try to detect it. + :param prog_name: The name of the CLI to show in the message. If not + provided, it will be detected from the command. + :param message: The message to show. The values ``%(prog)s``, + ``%(package)s``, and ``%(version)s`` are available. Defaults to + ``"%(prog)s, version %(version)s"``. + :param kwargs: Extra arguments are passed to :func:`option`. + :raise RuntimeError: ``version`` could not be detected. + + .. versionchanged:: 8.0 + Add the ``package_name`` parameter, and the ``%(package)s`` + value for messages. + + .. versionchanged:: 8.0 + Use :mod:`importlib.metadata` instead of ``pkg_resources``. The + version is detected based on the package name, not the entry + point name. The Python package name must match the installed + package name, or be passed with ``package_name=``. + """ + if message is None: + message = _("%(prog)s, version %(version)s") + + if version is None and package_name is None: + frame = inspect.currentframe() + f_back = frame.f_back if frame is not None else None + f_globals = f_back.f_globals if f_back is not None else None + # break reference cycle + # https://docs.python.org/3/library/inspect.html#the-interpreter-stack + del frame + + if f_globals is not None: + package_name = f_globals.get("__name__") + + if package_name == "__main__": + package_name = f_globals.get("__package__") + + if package_name: + package_name = package_name.partition(".")[0] + + def callback(ctx: Context, param: Parameter, value: bool) -> None: + if not value or ctx.resilient_parsing: + return + + nonlocal prog_name + nonlocal version + + if prog_name is None: + prog_name = ctx.find_root().info_name + + if version is None and package_name is not None: + import importlib.metadata + + try: + version = importlib.metadata.version(package_name) + except importlib.metadata.PackageNotFoundError: + raise RuntimeError( + f"{package_name!r} is not installed. Try passing" + " 'package_name' instead." + ) from None + + if version is None: + raise RuntimeError( + f"Could not determine the version for {package_name!r} automatically." + ) + + echo( + message % {"prog": prog_name, "package": package_name, "version": version}, + color=ctx.color, + ) + ctx.exit() + + if not param_decls: + param_decls = ("--version",) + + kwargs.setdefault("is_flag", True) + kwargs.setdefault("expose_value", False) + kwargs.setdefault("is_eager", True) + kwargs.setdefault("help", _("Show the version and exit.")) + kwargs["callback"] = callback + return option(*param_decls, **kwargs) + + +def help_option(*param_decls: str, **kwargs: t.Any) -> t.Callable[[FC], FC]: + """Pre-configured ``--help`` option which immediately prints the help page + and exits the program. + + :param param_decls: One or more option names. Defaults to the single + value ``"--help"``. + :param kwargs: Extra arguments are passed to :func:`option`. + """ + + def show_help(ctx: Context, param: Parameter, value: bool) -> None: + """Callback that print the help page on ```` and exits.""" + if value and not ctx.resilient_parsing: + echo(ctx.get_help(), color=ctx.color) + ctx.exit() + + if not param_decls: + param_decls = ("--help",) + + kwargs.setdefault("is_flag", True) + kwargs.setdefault("expose_value", False) + kwargs.setdefault("is_eager", True) + kwargs.setdefault("help", _("Show this message and exit.")) + kwargs.setdefault("callback", show_help) + + return option(*param_decls, **kwargs) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/exceptions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..4d782ee361442e4aafeac7e371ab12789c8a3751 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/exceptions.py @@ -0,0 +1,308 @@ +from __future__ import annotations + +import collections.abc as cabc +import typing as t +from gettext import gettext as _ +from gettext import ngettext + +from ._compat import get_text_stderr +from .globals import resolve_color_default +from .utils import echo +from .utils import format_filename + +if t.TYPE_CHECKING: + from .core import Command + from .core import Context + from .core import Parameter + + +def _join_param_hints(param_hint: cabc.Sequence[str] | str | None) -> str | None: + if param_hint is not None and not isinstance(param_hint, str): + return " / ".join(repr(x) for x in param_hint) + + return param_hint + + +class ClickException(Exception): + """An exception that Click can handle and show to the user.""" + + #: The exit code for this exception. + exit_code = 1 + + def __init__(self, message: str) -> None: + super().__init__(message) + # The context will be removed by the time we print the message, so cache + # the color settings here to be used later on (in `show`) + self.show_color: bool | None = resolve_color_default() + self.message = message + + def format_message(self) -> str: + return self.message + + def __str__(self) -> str: + return self.message + + def show(self, file: t.IO[t.Any] | None = None) -> None: + if file is None: + file = get_text_stderr() + + echo( + _("Error: {message}").format(message=self.format_message()), + file=file, + color=self.show_color, + ) + + +class UsageError(ClickException): + """An internal exception that signals a usage error. This typically + aborts any further handling. + + :param message: the error message to display. + :param ctx: optionally the context that caused this error. Click will + fill in the context automatically in some situations. + """ + + exit_code = 2 + + def __init__(self, message: str, ctx: Context | None = None) -> None: + super().__init__(message) + self.ctx = ctx + self.cmd: Command | None = self.ctx.command if self.ctx else None + + def show(self, file: t.IO[t.Any] | None = None) -> None: + if file is None: + file = get_text_stderr() + color = None + hint = "" + if ( + self.ctx is not None + and self.ctx.command.get_help_option(self.ctx) is not None + ): + hint = _("Try '{command} {option}' for help.").format( + command=self.ctx.command_path, option=self.ctx.help_option_names[0] + ) + hint = f"{hint}\n" + if self.ctx is not None: + color = self.ctx.color + echo(f"{self.ctx.get_usage()}\n{hint}", file=file, color=color) + echo( + _("Error: {message}").format(message=self.format_message()), + file=file, + color=color, + ) + + +class BadParameter(UsageError): + """An exception that formats out a standardized error message for a + bad parameter. This is useful when thrown from a callback or type as + Click will attach contextual information to it (for instance, which + parameter it is). + + .. versionadded:: 2.0 + + :param param: the parameter object that caused this error. This can + be left out, and Click will attach this info itself + if possible. + :param param_hint: a string that shows up as parameter name. This + can be used as alternative to `param` in cases + where custom validation should happen. If it is + a string it's used as such, if it's a list then + each item is quoted and separated. + """ + + def __init__( + self, + message: str, + ctx: Context | None = None, + param: Parameter | None = None, + param_hint: cabc.Sequence[str] | str | None = None, + ) -> None: + super().__init__(message, ctx) + self.param = param + self.param_hint = param_hint + + def format_message(self) -> str: + if self.param_hint is not None: + param_hint = self.param_hint + elif self.param is not None: + param_hint = self.param.get_error_hint(self.ctx) # type: ignore + else: + return _("Invalid value: {message}").format(message=self.message) + + return _("Invalid value for {param_hint}: {message}").format( + param_hint=_join_param_hints(param_hint), message=self.message + ) + + +class MissingParameter(BadParameter): + """Raised if click required an option or argument but it was not + provided when invoking the script. + + .. versionadded:: 4.0 + + :param param_type: a string that indicates the type of the parameter. + The default is to inherit the parameter type from + the given `param`. Valid values are ``'parameter'``, + ``'option'`` or ``'argument'``. + """ + + def __init__( + self, + message: str | None = None, + ctx: Context | None = None, + param: Parameter | None = None, + param_hint: cabc.Sequence[str] | str | None = None, + param_type: str | None = None, + ) -> None: + super().__init__(message or "", ctx, param, param_hint) + self.param_type = param_type + + def format_message(self) -> str: + if self.param_hint is not None: + param_hint: cabc.Sequence[str] | str | None = self.param_hint + elif self.param is not None: + param_hint = self.param.get_error_hint(self.ctx) # type: ignore + else: + param_hint = None + + param_hint = _join_param_hints(param_hint) + param_hint = f" {param_hint}" if param_hint else "" + + param_type = self.param_type + if param_type is None and self.param is not None: + param_type = self.param.param_type_name + + msg = self.message + if self.param is not None: + msg_extra = self.param.type.get_missing_message( + param=self.param, ctx=self.ctx + ) + if msg_extra: + if msg: + msg += f". {msg_extra}" + else: + msg = msg_extra + + msg = f" {msg}" if msg else "" + + # Translate param_type for known types. + if param_type == "argument": + missing = _("Missing argument") + elif param_type == "option": + missing = _("Missing option") + elif param_type == "parameter": + missing = _("Missing parameter") + else: + missing = _("Missing {param_type}").format(param_type=param_type) + + return f"{missing}{param_hint}.{msg}" + + def __str__(self) -> str: + if not self.message: + param_name = self.param.name if self.param else None + return _("Missing parameter: {param_name}").format(param_name=param_name) + else: + return self.message + + +class NoSuchOption(UsageError): + """Raised if click attempted to handle an option that does not + exist. + + .. versionadded:: 4.0 + """ + + def __init__( + self, + option_name: str, + message: str | None = None, + possibilities: cabc.Sequence[str] | None = None, + ctx: Context | None = None, + ) -> None: + if message is None: + message = _("No such option: {name}").format(name=option_name) + + super().__init__(message, ctx) + self.option_name = option_name + self.possibilities = possibilities + + def format_message(self) -> str: + if not self.possibilities: + return self.message + + possibility_str = ", ".join(sorted(self.possibilities)) + suggest = ngettext( + "Did you mean {possibility}?", + "(Possible options: {possibilities})", + len(self.possibilities), + ).format(possibility=possibility_str, possibilities=possibility_str) + return f"{self.message} {suggest}" + + +class BadOptionUsage(UsageError): + """Raised if an option is generally supplied but the use of the option + was incorrect. This is for instance raised if the number of arguments + for an option is not correct. + + .. versionadded:: 4.0 + + :param option_name: the name of the option being used incorrectly. + """ + + def __init__( + self, option_name: str, message: str, ctx: Context | None = None + ) -> None: + super().__init__(message, ctx) + self.option_name = option_name + + +class BadArgumentUsage(UsageError): + """Raised if an argument is generally supplied but the use of the argument + was incorrect. This is for instance raised if the number of values + for an argument is not correct. + + .. versionadded:: 6.0 + """ + + +class NoArgsIsHelpError(UsageError): + def __init__(self, ctx: Context) -> None: + self.ctx: Context + super().__init__(ctx.get_help(), ctx=ctx) + + def show(self, file: t.IO[t.Any] | None = None) -> None: + echo(self.format_message(), file=file, err=True, color=self.ctx.color) + + +class FileError(ClickException): + """Raised if a file cannot be opened.""" + + def __init__(self, filename: str, hint: str | None = None) -> None: + if hint is None: + hint = _("unknown error") + + super().__init__(hint) + self.ui_filename: str = format_filename(filename) + self.filename = filename + + def format_message(self) -> str: + return _("Could not open file {filename!r}: {message}").format( + filename=self.ui_filename, message=self.message + ) + + +class Abort(RuntimeError): + """An internal signalling exception that signals Click to abort.""" + + +class Exit(RuntimeError): + """An exception that indicates that the application should exit with some + status code. + + :param code: the status code to exit with. + """ + + __slots__ = ("exit_code",) + + def __init__(self, code: int = 0) -> None: + self.exit_code: int = code diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/formatting.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/formatting.py new file mode 100644 index 0000000000000000000000000000000000000000..0b64f831b5578e7262302ec9218fa498a2336794 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/formatting.py @@ -0,0 +1,301 @@ +from __future__ import annotations + +import collections.abc as cabc +from contextlib import contextmanager +from gettext import gettext as _ + +from ._compat import term_len +from .parser import _split_opt + +# Can force a width. This is used by the test system +FORCED_WIDTH: int | None = None + + +def measure_table(rows: cabc.Iterable[tuple[str, str]]) -> tuple[int, ...]: + widths: dict[int, int] = {} + + for row in rows: + for idx, col in enumerate(row): + widths[idx] = max(widths.get(idx, 0), term_len(col)) + + return tuple(y for x, y in sorted(widths.items())) + + +def iter_rows( + rows: cabc.Iterable[tuple[str, str]], col_count: int +) -> cabc.Iterator[tuple[str, ...]]: + for row in rows: + yield row + ("",) * (col_count - len(row)) + + +def wrap_text( + text: str, + width: int = 78, + initial_indent: str = "", + subsequent_indent: str = "", + preserve_paragraphs: bool = False, +) -> str: + """A helper function that intelligently wraps text. By default, it + assumes that it operates on a single paragraph of text but if the + `preserve_paragraphs` parameter is provided it will intelligently + handle paragraphs (defined by two empty lines). + + If paragraphs are handled, a paragraph can be prefixed with an empty + line containing the ``\\b`` character (``\\x08``) to indicate that + no rewrapping should happen in that block. + + :param text: the text that should be rewrapped. + :param width: the maximum width for the text. + :param initial_indent: the initial indent that should be placed on the + first line as a string. + :param subsequent_indent: the indent string that should be placed on + each consecutive line. + :param preserve_paragraphs: if this flag is set then the wrapping will + intelligently handle paragraphs. + """ + from ._textwrap import TextWrapper + + text = text.expandtabs() + wrapper = TextWrapper( + width, + initial_indent=initial_indent, + subsequent_indent=subsequent_indent, + replace_whitespace=False, + ) + if not preserve_paragraphs: + return wrapper.fill(text) + + p: list[tuple[int, bool, str]] = [] + buf: list[str] = [] + indent = None + + def _flush_par() -> None: + if not buf: + return + if buf[0].strip() == "\b": + p.append((indent or 0, True, "\n".join(buf[1:]))) + else: + p.append((indent or 0, False, " ".join(buf))) + del buf[:] + + for line in text.splitlines(): + if not line: + _flush_par() + indent = None + else: + if indent is None: + orig_len = term_len(line) + line = line.lstrip() + indent = orig_len - term_len(line) + buf.append(line) + _flush_par() + + rv = [] + for indent, raw, text in p: + with wrapper.extra_indent(" " * indent): + if raw: + rv.append(wrapper.indent_only(text)) + else: + rv.append(wrapper.fill(text)) + + return "\n\n".join(rv) + + +class HelpFormatter: + """This class helps with formatting text-based help pages. It's + usually just needed for very special internal cases, but it's also + exposed so that developers can write their own fancy outputs. + + At present, it always writes into memory. + + :param indent_increment: the additional increment for each level. + :param width: the width for the text. This defaults to the terminal + width clamped to a maximum of 78. + """ + + def __init__( + self, + indent_increment: int = 2, + width: int | None = None, + max_width: int | None = None, + ) -> None: + self.indent_increment = indent_increment + if max_width is None: + max_width = 80 + if width is None: + import shutil + + width = FORCED_WIDTH + if width is None: + width = max(min(shutil.get_terminal_size().columns, max_width) - 2, 50) + self.width = width + self.current_indent: int = 0 + self.buffer: list[str] = [] + + def write(self, string: str) -> None: + """Writes a unicode string into the internal buffer.""" + self.buffer.append(string) + + def indent(self) -> None: + """Increases the indentation.""" + self.current_indent += self.indent_increment + + def dedent(self) -> None: + """Decreases the indentation.""" + self.current_indent -= self.indent_increment + + def write_usage(self, prog: str, args: str = "", prefix: str | None = None) -> None: + """Writes a usage line into the buffer. + + :param prog: the program name. + :param args: whitespace separated list of arguments. + :param prefix: The prefix for the first line. Defaults to + ``"Usage: "``. + """ + if prefix is None: + prefix = f"{_('Usage:')} " + + usage_prefix = f"{prefix:>{self.current_indent}}{prog} " + text_width = self.width - self.current_indent + + if text_width >= (term_len(usage_prefix) + 20): + # The arguments will fit to the right of the prefix. + indent = " " * term_len(usage_prefix) + self.write( + wrap_text( + args, + text_width, + initial_indent=usage_prefix, + subsequent_indent=indent, + ) + ) + else: + # The prefix is too long, put the arguments on the next line. + self.write(usage_prefix) + self.write("\n") + indent = " " * (max(self.current_indent, term_len(prefix)) + 4) + self.write( + wrap_text( + args, text_width, initial_indent=indent, subsequent_indent=indent + ) + ) + + self.write("\n") + + def write_heading(self, heading: str) -> None: + """Writes a heading into the buffer.""" + self.write(f"{'':>{self.current_indent}}{heading}:\n") + + def write_paragraph(self) -> None: + """Writes a paragraph into the buffer.""" + if self.buffer: + self.write("\n") + + def write_text(self, text: str) -> None: + """Writes re-indented text into the buffer. This rewraps and + preserves paragraphs. + """ + indent = " " * self.current_indent + self.write( + wrap_text( + text, + self.width, + initial_indent=indent, + subsequent_indent=indent, + preserve_paragraphs=True, + ) + ) + self.write("\n") + + def write_dl( + self, + rows: cabc.Sequence[tuple[str, str]], + col_max: int = 30, + col_spacing: int = 2, + ) -> None: + """Writes a definition list into the buffer. This is how options + and commands are usually formatted. + + :param rows: a list of two item tuples for the terms and values. + :param col_max: the maximum width of the first column. + :param col_spacing: the number of spaces between the first and + second column. + """ + rows = list(rows) + widths = measure_table(rows) + if len(widths) != 2: + raise TypeError("Expected two columns for definition list") + + first_col = min(widths[0], col_max) + col_spacing + + for first, second in iter_rows(rows, len(widths)): + self.write(f"{'':>{self.current_indent}}{first}") + if not second: + self.write("\n") + continue + if term_len(first) <= first_col - col_spacing: + self.write(" " * (first_col - term_len(first))) + else: + self.write("\n") + self.write(" " * (first_col + self.current_indent)) + + text_width = max(self.width - first_col - 2, 10) + wrapped_text = wrap_text(second, text_width, preserve_paragraphs=True) + lines = wrapped_text.splitlines() + + if lines: + self.write(f"{lines[0]}\n") + + for line in lines[1:]: + self.write(f"{'':>{first_col + self.current_indent}}{line}\n") + else: + self.write("\n") + + @contextmanager + def section(self, name: str) -> cabc.Iterator[None]: + """Helpful context manager that writes a paragraph, a heading, + and the indents. + + :param name: the section name that is written as heading. + """ + self.write_paragraph() + self.write_heading(name) + self.indent() + try: + yield + finally: + self.dedent() + + @contextmanager + def indentation(self) -> cabc.Iterator[None]: + """A context manager that increases the indentation.""" + self.indent() + try: + yield + finally: + self.dedent() + + def getvalue(self) -> str: + """Returns the buffer contents.""" + return "".join(self.buffer) + + +def join_options(options: cabc.Sequence[str]) -> tuple[str, bool]: + """Given a list of option strings this joins them in the most appropriate + way and returns them in the form ``(formatted_string, + any_prefix_is_slash)`` where the second item in the tuple is a flag that + indicates if any of the option prefixes was a slash. + """ + rv = [] + any_prefix_is_slash = False + + for opt in options: + prefix = _split_opt(opt)[0] + + if prefix == "/": + any_prefix_is_slash = True + + rv.append((len(prefix), opt)) + + rv.sort(key=lambda x: x[0]) + return ", ".join(x[1] for x in rv), any_prefix_is_slash diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/globals.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/globals.py new file mode 100644 index 0000000000000000000000000000000000000000..a2f91723d21cefdf658be327174e1f8ccdc20fcd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/globals.py @@ -0,0 +1,67 @@ +from __future__ import annotations + +import typing as t +from threading import local + +if t.TYPE_CHECKING: + from .core import Context + +_local = local() + + +@t.overload +def get_current_context(silent: t.Literal[False] = False) -> Context: ... + + +@t.overload +def get_current_context(silent: bool = ...) -> Context | None: ... + + +def get_current_context(silent: bool = False) -> Context | None: + """Returns the current click context. This can be used as a way to + access the current context object from anywhere. This is a more implicit + alternative to the :func:`pass_context` decorator. This function is + primarily useful for helpers such as :func:`echo` which might be + interested in changing its behavior based on the current context. + + To push the current context, :meth:`Context.scope` can be used. + + .. versionadded:: 5.0 + + :param silent: if set to `True` the return value is `None` if no context + is available. The default behavior is to raise a + :exc:`RuntimeError`. + """ + try: + return t.cast("Context", _local.stack[-1]) + except (AttributeError, IndexError) as e: + if not silent: + raise RuntimeError("There is no active click context.") from e + + return None + + +def push_context(ctx: Context) -> None: + """Pushes a new context to the current stack.""" + _local.__dict__.setdefault("stack", []).append(ctx) + + +def pop_context() -> None: + """Removes the top level from the stack.""" + _local.stack.pop() + + +def resolve_color_default(color: bool | None = None) -> bool | None: + """Internal helper to get the default value of the color flag. If a + value is passed it's returned unchanged, otherwise it's looked up from + the current context. + """ + if color is not None: + return color + + ctx = get_current_context(silent=True) + + if ctx is not None: + return ctx.color + + return None diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/parser.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/parser.py new file mode 100644 index 0000000000000000000000000000000000000000..1ea1f7166e4b9eac5bcb632ecd86fe0331829141 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/parser.py @@ -0,0 +1,532 @@ +""" +This module started out as largely a copy paste from the stdlib's +optparse module with the features removed that we do not need from +optparse because we implement them in Click on a higher level (for +instance type handling, help formatting and a lot more). + +The plan is to remove more and more from here over time. + +The reason this is a different module and not optparse from the stdlib +is that there are differences in 2.x and 3.x about the error messages +generated and optparse in the stdlib uses gettext for no good reason +and might cause us issues. + +Click uses parts of optparse written by Gregory P. Ward and maintained +by the Python Software Foundation. This is limited to code in parser.py. + +Copyright 2001-2006 Gregory P. Ward. All rights reserved. +Copyright 2002-2006 Python Software Foundation. All rights reserved. +""" + +# This code uses parts of optparse written by Gregory P. Ward and +# maintained by the Python Software Foundation. +# Copyright 2001-2006 Gregory P. Ward +# Copyright 2002-2006 Python Software Foundation +from __future__ import annotations + +import collections.abc as cabc +import typing as t +from collections import deque +from gettext import gettext as _ +from gettext import ngettext + +from ._utils import FLAG_NEEDS_VALUE +from ._utils import UNSET +from .exceptions import BadArgumentUsage +from .exceptions import BadOptionUsage +from .exceptions import NoSuchOption +from .exceptions import UsageError + +if t.TYPE_CHECKING: + from ._utils import T_FLAG_NEEDS_VALUE + from ._utils import T_UNSET + from .core import Argument as CoreArgument + from .core import Context + from .core import Option as CoreOption + from .core import Parameter as CoreParameter + +V = t.TypeVar("V") + + +def _unpack_args( + args: cabc.Sequence[str], nargs_spec: cabc.Sequence[int] +) -> tuple[cabc.Sequence[str | cabc.Sequence[str | None] | None], list[str]]: + """Given an iterable of arguments and an iterable of nargs specifications, + it returns a tuple with all the unpacked arguments at the first index + and all remaining arguments as the second. + + The nargs specification is the number of arguments that should be consumed + or `-1` to indicate that this position should eat up all the remainders. + + Missing items are filled with ``UNSET``. + """ + args = deque(args) + nargs_spec = deque(nargs_spec) + rv: list[str | tuple[str | T_UNSET, ...] | T_UNSET] = [] + spos: int | None = None + + def _fetch(c: deque[V]) -> V | T_UNSET: + try: + if spos is None: + return c.popleft() + else: + return c.pop() + except IndexError: + return UNSET + + while nargs_spec: + nargs = _fetch(nargs_spec) + + if nargs is None: + continue + + if nargs == 1: + rv.append(_fetch(args)) # type: ignore[arg-type] + elif nargs > 1: + x = [_fetch(args) for _ in range(nargs)] + + # If we're reversed, we're pulling in the arguments in reverse, + # so we need to turn them around. + if spos is not None: + x.reverse() + + rv.append(tuple(x)) + elif nargs < 0: + if spos is not None: + raise TypeError("Cannot have two nargs < 0") + + spos = len(rv) + rv.append(UNSET) + + # spos is the position of the wildcard (star). If it's not `None`, + # we fill it with the remainder. + if spos is not None: + rv[spos] = tuple(args) + args = [] + rv[spos + 1 :] = reversed(rv[spos + 1 :]) + + return tuple(rv), list(args) + + +def _split_opt(opt: str) -> tuple[str, str]: + first = opt[:1] + if first.isalnum(): + return "", opt + if opt[1:2] == first: + return opt[:2], opt[2:] + return first, opt[1:] + + +def _normalize_opt(opt: str, ctx: Context | None) -> str: + if ctx is None or ctx.token_normalize_func is None: + return opt + prefix, opt = _split_opt(opt) + return f"{prefix}{ctx.token_normalize_func(opt)}" + + +class _Option: + def __init__( + self, + obj: CoreOption, + opts: cabc.Sequence[str], + dest: str | None, + action: str | None = None, + nargs: int = 1, + const: t.Any | None = None, + ): + self._short_opts = [] + self._long_opts = [] + self.prefixes: set[str] = set() + + for opt in opts: + prefix, value = _split_opt(opt) + if not prefix: + raise ValueError(f"Invalid start character for option ({opt})") + self.prefixes.add(prefix[0]) + if len(prefix) == 1 and len(value) == 1: + self._short_opts.append(opt) + else: + self._long_opts.append(opt) + self.prefixes.add(prefix) + + if action is None: + action = "store" + + self.dest = dest + self.action = action + self.nargs = nargs + self.const = const + self.obj = obj + + @property + def takes_value(self) -> bool: + return self.action in ("store", "append") + + def process(self, value: t.Any, state: _ParsingState) -> None: + if self.action == "store": + state.opts[self.dest] = value # type: ignore + elif self.action == "store_const": + state.opts[self.dest] = self.const # type: ignore + elif self.action == "append": + state.opts.setdefault(self.dest, []).append(value) # type: ignore + elif self.action == "append_const": + state.opts.setdefault(self.dest, []).append(self.const) # type: ignore + elif self.action == "count": + state.opts[self.dest] = state.opts.get(self.dest, 0) + 1 # type: ignore + else: + raise ValueError(f"unknown action '{self.action}'") + state.order.append(self.obj) + + +class _Argument: + def __init__(self, obj: CoreArgument, dest: str | None, nargs: int = 1): + self.dest = dest + self.nargs = nargs + self.obj = obj + + def process( + self, + value: str | cabc.Sequence[str | None] | None | T_UNSET, + state: _ParsingState, + ) -> None: + if self.nargs > 1: + assert isinstance(value, cabc.Sequence) + holes = sum(1 for x in value if x is UNSET) + if holes == len(value): + value = UNSET + elif holes != 0: + raise BadArgumentUsage( + _("Argument {name!r} takes {nargs} values.").format( + name=self.dest, nargs=self.nargs + ) + ) + + # We failed to collect any argument value so we consider the argument as unset. + if value == (): + value = UNSET + + state.opts[self.dest] = value # type: ignore + state.order.append(self.obj) + + +class _ParsingState: + def __init__(self, rargs: list[str]) -> None: + self.opts: dict[str, t.Any] = {} + self.largs: list[str] = [] + self.rargs = rargs + self.order: list[CoreParameter] = [] + + +class _OptionParser: + """The option parser is an internal class that is ultimately used to + parse options and arguments. It's modelled after optparse and brings + a similar but vastly simplified API. It should generally not be used + directly as the high level Click classes wrap it for you. + + It's not nearly as extensible as optparse or argparse as it does not + implement features that are implemented on a higher level (such as + types or defaults). + + :param ctx: optionally the :class:`~click.Context` where this parser + should go with. + + .. deprecated:: 8.2 + Will be removed in Click 9.0. + """ + + def __init__(self, ctx: Context | None = None) -> None: + #: The :class:`~click.Context` for this parser. This might be + #: `None` for some advanced use cases. + self.ctx = ctx + #: This controls how the parser deals with interspersed arguments. + #: If this is set to `False`, the parser will stop on the first + #: non-option. Click uses this to implement nested subcommands + #: safely. + self.allow_interspersed_args: bool = True + #: This tells the parser how to deal with unknown options. By + #: default it will error out (which is sensible), but there is a + #: second mode where it will ignore it and continue processing + #: after shifting all the unknown options into the resulting args. + self.ignore_unknown_options: bool = False + + if ctx is not None: + self.allow_interspersed_args = ctx.allow_interspersed_args + self.ignore_unknown_options = ctx.ignore_unknown_options + + self._short_opt: dict[str, _Option] = {} + self._long_opt: dict[str, _Option] = {} + self._opt_prefixes = {"-", "--"} + self._args: list[_Argument] = [] + + def add_option( + self, + obj: CoreOption, + opts: cabc.Sequence[str], + dest: str | None, + action: str | None = None, + nargs: int = 1, + const: t.Any | None = None, + ) -> None: + """Adds a new option named `dest` to the parser. The destination + is not inferred (unlike with optparse) and needs to be explicitly + provided. Action can be any of ``store``, ``store_const``, + ``append``, ``append_const`` or ``count``. + + The `obj` can be used to identify the option in the order list + that is returned from the parser. + """ + opts = [_normalize_opt(opt, self.ctx) for opt in opts] + option = _Option(obj, opts, dest, action=action, nargs=nargs, const=const) + self._opt_prefixes.update(option.prefixes) + for opt in option._short_opts: + self._short_opt[opt] = option + for opt in option._long_opts: + self._long_opt[opt] = option + + def add_argument(self, obj: CoreArgument, dest: str | None, nargs: int = 1) -> None: + """Adds a positional argument named `dest` to the parser. + + The `obj` can be used to identify the option in the order list + that is returned from the parser. + """ + self._args.append(_Argument(obj, dest=dest, nargs=nargs)) + + def parse_args( + self, args: list[str] + ) -> tuple[dict[str, t.Any], list[str], list[CoreParameter]]: + """Parses positional arguments and returns ``(values, args, order)`` + for the parsed options and arguments as well as the leftover + arguments if there are any. The order is a list of objects as they + appear on the command line. If arguments appear multiple times they + will be memorized multiple times as well. + """ + state = _ParsingState(args) + try: + self._process_args_for_options(state) + self._process_args_for_args(state) + except UsageError: + if self.ctx is None or not self.ctx.resilient_parsing: + raise + return state.opts, state.largs, state.order + + def _process_args_for_args(self, state: _ParsingState) -> None: + pargs, args = _unpack_args( + state.largs + state.rargs, [x.nargs for x in self._args] + ) + + for idx, arg in enumerate(self._args): + arg.process(pargs[idx], state) + + state.largs = args + state.rargs = [] + + def _process_args_for_options(self, state: _ParsingState) -> None: + while state.rargs: + arg = state.rargs.pop(0) + arglen = len(arg) + # Double dashes always handled explicitly regardless of what + # prefixes are valid. + if arg == "--": + return + elif arg[:1] in self._opt_prefixes and arglen > 1: + self._process_opts(arg, state) + elif self.allow_interspersed_args: + state.largs.append(arg) + else: + state.rargs.insert(0, arg) + return + + # Say this is the original argument list: + # [arg0, arg1, ..., arg(i-1), arg(i), arg(i+1), ..., arg(N-1)] + # ^ + # (we are about to process arg(i)). + # + # Then rargs is [arg(i), ..., arg(N-1)] and largs is a *subset* of + # [arg0, ..., arg(i-1)] (any options and their arguments will have + # been removed from largs). + # + # The while loop will usually consume 1 or more arguments per pass. + # If it consumes 1 (eg. arg is an option that takes no arguments), + # then after _process_arg() is done the situation is: + # + # largs = subset of [arg0, ..., arg(i)] + # rargs = [arg(i+1), ..., arg(N-1)] + # + # If allow_interspersed_args is false, largs will always be + # *empty* -- still a subset of [arg0, ..., arg(i-1)], but + # not a very interesting subset! + + def _match_long_opt( + self, opt: str, explicit_value: str | None, state: _ParsingState + ) -> None: + if opt not in self._long_opt: + from difflib import get_close_matches + + possibilities = get_close_matches(opt, self._long_opt) + raise NoSuchOption(opt, possibilities=possibilities, ctx=self.ctx) + + option = self._long_opt[opt] + if option.takes_value: + # At this point it's safe to modify rargs by injecting the + # explicit value, because no exception is raised in this + # branch. This means that the inserted value will be fully + # consumed. + if explicit_value is not None: + state.rargs.insert(0, explicit_value) + + value = self._get_value_from_state(opt, option, state) + + elif explicit_value is not None: + raise BadOptionUsage( + opt, _("Option {name!r} does not take a value.").format(name=opt) + ) + + else: + value = UNSET + + option.process(value, state) + + def _match_short_opt(self, arg: str, state: _ParsingState) -> None: + stop = False + i = 1 + prefix = arg[0] + unknown_options = [] + + for ch in arg[1:]: + opt = _normalize_opt(f"{prefix}{ch}", self.ctx) + option = self._short_opt.get(opt) + i += 1 + + if not option: + if self.ignore_unknown_options: + unknown_options.append(ch) + continue + raise NoSuchOption(opt, ctx=self.ctx) + if option.takes_value: + # Any characters left in arg? Pretend they're the + # next arg, and stop consuming characters of arg. + if i < len(arg): + state.rargs.insert(0, arg[i:]) + stop = True + + value = self._get_value_from_state(opt, option, state) + + else: + value = UNSET + + option.process(value, state) + + if stop: + break + + # If we got any unknown options we recombine the string of the + # remaining options and re-attach the prefix, then report that + # to the state as new larg. This way there is basic combinatorics + # that can be achieved while still ignoring unknown arguments. + if self.ignore_unknown_options and unknown_options: + state.largs.append(f"{prefix}{''.join(unknown_options)}") + + def _get_value_from_state( + self, option_name: str, option: _Option, state: _ParsingState + ) -> str | cabc.Sequence[str] | T_FLAG_NEEDS_VALUE: + nargs = option.nargs + + value: str | cabc.Sequence[str] | T_FLAG_NEEDS_VALUE + + if len(state.rargs) < nargs: + if option.obj._flag_needs_value: + # Option allows omitting the value. + value = FLAG_NEEDS_VALUE + else: + raise BadOptionUsage( + option_name, + ngettext( + "Option {name!r} requires an argument.", + "Option {name!r} requires {nargs} arguments.", + nargs, + ).format(name=option_name, nargs=nargs), + ) + elif nargs == 1: + next_rarg = state.rargs[0] + + if ( + option.obj._flag_needs_value + and isinstance(next_rarg, str) + and next_rarg[:1] in self._opt_prefixes + and len(next_rarg) > 1 + ): + # The next arg looks like the start of an option, don't + # use it as the value if omitting the value is allowed. + value = FLAG_NEEDS_VALUE + else: + value = state.rargs.pop(0) + else: + value = tuple(state.rargs[:nargs]) + del state.rargs[:nargs] + + return value + + def _process_opts(self, arg: str, state: _ParsingState) -> None: + explicit_value = None + # Long option handling happens in two parts. The first part is + # supporting explicitly attached values. In any case, we will try + # to long match the option first. + if "=" in arg: + long_opt, explicit_value = arg.split("=", 1) + else: + long_opt = arg + norm_long_opt = _normalize_opt(long_opt, self.ctx) + + # At this point we will match the (assumed) long option through + # the long option matching code. Note that this allows options + # like "-foo" to be matched as long options. + try: + self._match_long_opt(norm_long_opt, explicit_value, state) + except NoSuchOption: + # At this point the long option matching failed, and we need + # to try with short options. However there is a special rule + # which says, that if we have a two character options prefix + # (applies to "--foo" for instance), we do not dispatch to the + # short option code and will instead raise the no option + # error. + if arg[:2] not in self._opt_prefixes: + self._match_short_opt(arg, state) + return + + if not self.ignore_unknown_options: + raise + + state.largs.append(arg) + + +def __getattr__(name: str) -> object: + import warnings + + if name in { + "OptionParser", + "Argument", + "Option", + "split_opt", + "normalize_opt", + "ParsingState", + }: + warnings.warn( + f"'parser.{name}' is deprecated and will be removed in Click 9.0." + " The old parser is available in 'optparse'.", + DeprecationWarning, + stacklevel=2, + ) + return globals()[f"_{name}"] + + if name == "split_arg_string": + from .shell_completion import split_arg_string + + warnings.warn( + "Importing 'parser.split_arg_string' is deprecated, it will only be" + " available in 'shell_completion' in Click 9.0.", + DeprecationWarning, + stacklevel=2, + ) + return split_arg_string + + raise AttributeError(name) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/shell_completion.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/shell_completion.py new file mode 100644 index 0000000000000000000000000000000000000000..8f1564c49be8e138014841d8f7cb35a34265674f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/shell_completion.py @@ -0,0 +1,667 @@ +from __future__ import annotations + +import collections.abc as cabc +import os +import re +import typing as t +from gettext import gettext as _ + +from .core import Argument +from .core import Command +from .core import Context +from .core import Group +from .core import Option +from .core import Parameter +from .core import ParameterSource +from .utils import echo + + +def shell_complete( + cli: Command, + ctx_args: cabc.MutableMapping[str, t.Any], + prog_name: str, + complete_var: str, + instruction: str, +) -> int: + """Perform shell completion for the given CLI program. + + :param cli: Command being called. + :param ctx_args: Extra arguments to pass to + ``cli.make_context``. + :param prog_name: Name of the executable in the shell. + :param complete_var: Name of the environment variable that holds + the completion instruction. + :param instruction: Value of ``complete_var`` with the completion + instruction and shell, in the form ``instruction_shell``. + :return: Status code to exit with. + """ + shell, _, instruction = instruction.partition("_") + comp_cls = get_completion_class(shell) + + if comp_cls is None: + return 1 + + comp = comp_cls(cli, ctx_args, prog_name, complete_var) + + if instruction == "source": + echo(comp.source()) + return 0 + + if instruction == "complete": + echo(comp.complete()) + return 0 + + return 1 + + +class CompletionItem: + """Represents a completion value and metadata about the value. The + default metadata is ``type`` to indicate special shell handling, + and ``help`` if a shell supports showing a help string next to the + value. + + Arbitrary parameters can be passed when creating the object, and + accessed using ``item.attr``. If an attribute wasn't passed, + accessing it returns ``None``. + + :param value: The completion suggestion. + :param type: Tells the shell script to provide special completion + support for the type. Click uses ``"dir"`` and ``"file"``. + :param help: String shown next to the value if supported. + :param kwargs: Arbitrary metadata. The built-in implementations + don't use this, but custom type completions paired with custom + shell support could use it. + """ + + __slots__ = ("value", "type", "help", "_info") + + def __init__( + self, + value: t.Any, + type: str = "plain", + help: str | None = None, + **kwargs: t.Any, + ) -> None: + self.value: t.Any = value + self.type: str = type + self.help: str | None = help + self._info = kwargs + + def __getattr__(self, name: str) -> t.Any: + return self._info.get(name) + + +# Only Bash >= 4.4 has the nosort option. +_SOURCE_BASH = """\ +%(complete_func)s() { + local IFS=$'\\n' + local response + + response=$(env COMP_WORDS="${COMP_WORDS[*]}" COMP_CWORD=$COMP_CWORD \ +%(complete_var)s=bash_complete $1) + + for completion in $response; do + IFS=',' read type value <<< "$completion" + + if [[ $type == 'dir' ]]; then + COMPREPLY=() + compopt -o dirnames + elif [[ $type == 'file' ]]; then + COMPREPLY=() + compopt -o default + elif [[ $type == 'plain' ]]; then + COMPREPLY+=($value) + fi + done + + return 0 +} + +%(complete_func)s_setup() { + complete -o nosort -F %(complete_func)s %(prog_name)s +} + +%(complete_func)s_setup; +""" + +# See ZshComplete.format_completion below, and issue #2703, before +# changing this script. +# +# (TL;DR: _describe is picky about the format, but this Zsh script snippet +# is already widely deployed. So freeze this script, and use clever-ish +# handling of colons in ZshComplet.format_completion.) +_SOURCE_ZSH = """\ +#compdef %(prog_name)s + +%(complete_func)s() { + local -a completions + local -a completions_with_descriptions + local -a response + (( ! $+commands[%(prog_name)s] )) && return 1 + + response=("${(@f)$(env COMP_WORDS="${words[*]}" COMP_CWORD=$((CURRENT-1)) \ +%(complete_var)s=zsh_complete %(prog_name)s)}") + + for type key descr in ${response}; do + if [[ "$type" == "plain" ]]; then + if [[ "$descr" == "_" ]]; then + completions+=("$key") + else + completions_with_descriptions+=("$key":"$descr") + fi + elif [[ "$type" == "dir" ]]; then + _path_files -/ + elif [[ "$type" == "file" ]]; then + _path_files -f + fi + done + + if [ -n "$completions_with_descriptions" ]; then + _describe -V unsorted completions_with_descriptions -U + fi + + if [ -n "$completions" ]; then + compadd -U -V unsorted -a completions + fi +} + +if [[ $zsh_eval_context[-1] == loadautofunc ]]; then + # autoload from fpath, call function directly + %(complete_func)s "$@" +else + # eval/source/. command, register function for later + compdef %(complete_func)s %(prog_name)s +fi +""" + +_SOURCE_FISH = """\ +function %(complete_func)s; + set -l response (env %(complete_var)s=fish_complete COMP_WORDS=(commandline -cp) \ +COMP_CWORD=(commandline -t) %(prog_name)s); + + for completion in $response; + set -l metadata (string split "," $completion); + + if test $metadata[1] = "dir"; + __fish_complete_directories $metadata[2]; + else if test $metadata[1] = "file"; + __fish_complete_path $metadata[2]; + else if test $metadata[1] = "plain"; + echo $metadata[2]; + end; + end; +end; + +complete --no-files --command %(prog_name)s --arguments \ +"(%(complete_func)s)"; +""" + + +class ShellComplete: + """Base class for providing shell completion support. A subclass for + a given shell will override attributes and methods to implement the + completion instructions (``source`` and ``complete``). + + :param cli: Command being called. + :param prog_name: Name of the executable in the shell. + :param complete_var: Name of the environment variable that holds + the completion instruction. + + .. versionadded:: 8.0 + """ + + name: t.ClassVar[str] + """Name to register the shell as with :func:`add_completion_class`. + This is used in completion instructions (``{name}_source`` and + ``{name}_complete``). + """ + + source_template: t.ClassVar[str] + """Completion script template formatted by :meth:`source`. This must + be provided by subclasses. + """ + + def __init__( + self, + cli: Command, + ctx_args: cabc.MutableMapping[str, t.Any], + prog_name: str, + complete_var: str, + ) -> None: + self.cli = cli + self.ctx_args = ctx_args + self.prog_name = prog_name + self.complete_var = complete_var + + @property + def func_name(self) -> str: + """The name of the shell function defined by the completion + script. + """ + safe_name = re.sub(r"\W*", "", self.prog_name.replace("-", "_"), flags=re.ASCII) + return f"_{safe_name}_completion" + + def source_vars(self) -> dict[str, t.Any]: + """Vars for formatting :attr:`source_template`. + + By default this provides ``complete_func``, ``complete_var``, + and ``prog_name``. + """ + return { + "complete_func": self.func_name, + "complete_var": self.complete_var, + "prog_name": self.prog_name, + } + + def source(self) -> str: + """Produce the shell script that defines the completion + function. By default this ``%``-style formats + :attr:`source_template` with the dict returned by + :meth:`source_vars`. + """ + return self.source_template % self.source_vars() + + def get_completion_args(self) -> tuple[list[str], str]: + """Use the env vars defined by the shell script to return a + tuple of ``args, incomplete``. This must be implemented by + subclasses. + """ + raise NotImplementedError + + def get_completions(self, args: list[str], incomplete: str) -> list[CompletionItem]: + """Determine the context and last complete command or parameter + from the complete args. Call that object's ``shell_complete`` + method to get the completions for the incomplete value. + + :param args: List of complete args before the incomplete value. + :param incomplete: Value being completed. May be empty. + """ + ctx = _resolve_context(self.cli, self.ctx_args, self.prog_name, args) + obj, incomplete = _resolve_incomplete(ctx, args, incomplete) + return obj.shell_complete(ctx, incomplete) + + def format_completion(self, item: CompletionItem) -> str: + """Format a completion item into the form recognized by the + shell script. This must be implemented by subclasses. + + :param item: Completion item to format. + """ + raise NotImplementedError + + def complete(self) -> str: + """Produce the completion data to send back to the shell. + + By default this calls :meth:`get_completion_args`, gets the + completions, then calls :meth:`format_completion` for each + completion. + """ + args, incomplete = self.get_completion_args() + completions = self.get_completions(args, incomplete) + out = [self.format_completion(item) for item in completions] + return "\n".join(out) + + +class BashComplete(ShellComplete): + """Shell completion for Bash.""" + + name = "bash" + source_template = _SOURCE_BASH + + @staticmethod + def _check_version() -> None: + import shutil + import subprocess + + bash_exe = shutil.which("bash") + + if bash_exe is None: + match = None + else: + output = subprocess.run( + [bash_exe, "--norc", "-c", 'echo "${BASH_VERSION}"'], + stdout=subprocess.PIPE, + ) + match = re.search(r"^(\d+)\.(\d+)\.\d+", output.stdout.decode()) + + if match is not None: + major, minor = match.groups() + + if major < "4" or major == "4" and minor < "4": + echo( + _( + "Shell completion is not supported for Bash" + " versions older than 4.4." + ), + err=True, + ) + else: + echo( + _("Couldn't detect Bash version, shell completion is not supported."), + err=True, + ) + + def source(self) -> str: + self._check_version() + return super().source() + + def get_completion_args(self) -> tuple[list[str], str]: + cwords = split_arg_string(os.environ["COMP_WORDS"]) + cword = int(os.environ["COMP_CWORD"]) + args = cwords[1:cword] + + try: + incomplete = cwords[cword] + except IndexError: + incomplete = "" + + return args, incomplete + + def format_completion(self, item: CompletionItem) -> str: + return f"{item.type},{item.value}" + + +class ZshComplete(ShellComplete): + """Shell completion for Zsh.""" + + name = "zsh" + source_template = _SOURCE_ZSH + + def get_completion_args(self) -> tuple[list[str], str]: + cwords = split_arg_string(os.environ["COMP_WORDS"]) + cword = int(os.environ["COMP_CWORD"]) + args = cwords[1:cword] + + try: + incomplete = cwords[cword] + except IndexError: + incomplete = "" + + return args, incomplete + + def format_completion(self, item: CompletionItem) -> str: + help_ = item.help or "_" + # The zsh completion script uses `_describe` on items with help + # texts (which splits the item help from the item value at the + # first unescaped colon) and `compadd` on items without help + # text (which uses the item value as-is and does not support + # colon escaping). So escape colons in the item value if and + # only if the item help is not the sentinel "_" value, as used + # by the completion script. + # + # (The zsh completion script is potentially widely deployed, and + # thus harder to fix than this method.) + # + # See issue #1812 and issue #2703 for further context. + value = item.value.replace(":", r"\:") if help_ != "_" else item.value + return f"{item.type}\n{value}\n{help_}" + + +class FishComplete(ShellComplete): + """Shell completion for Fish.""" + + name = "fish" + source_template = _SOURCE_FISH + + def get_completion_args(self) -> tuple[list[str], str]: + cwords = split_arg_string(os.environ["COMP_WORDS"]) + incomplete = os.environ["COMP_CWORD"] + if incomplete: + incomplete = split_arg_string(incomplete)[0] + args = cwords[1:] + + # Fish stores the partial word in both COMP_WORDS and + # COMP_CWORD, remove it from complete args. + if incomplete and args and args[-1] == incomplete: + args.pop() + + return args, incomplete + + def format_completion(self, item: CompletionItem) -> str: + if item.help: + return f"{item.type},{item.value}\t{item.help}" + + return f"{item.type},{item.value}" + + +ShellCompleteType = t.TypeVar("ShellCompleteType", bound="type[ShellComplete]") + + +_available_shells: dict[str, type[ShellComplete]] = { + "bash": BashComplete, + "fish": FishComplete, + "zsh": ZshComplete, +} + + +def add_completion_class( + cls: ShellCompleteType, name: str | None = None +) -> ShellCompleteType: + """Register a :class:`ShellComplete` subclass under the given name. + The name will be provided by the completion instruction environment + variable during completion. + + :param cls: The completion class that will handle completion for the + shell. + :param name: Name to register the class under. Defaults to the + class's ``name`` attribute. + """ + if name is None: + name = cls.name + + _available_shells[name] = cls + + return cls + + +def get_completion_class(shell: str) -> type[ShellComplete] | None: + """Look up a registered :class:`ShellComplete` subclass by the name + provided by the completion instruction environment variable. If the + name isn't registered, returns ``None``. + + :param shell: Name the class is registered under. + """ + return _available_shells.get(shell) + + +def split_arg_string(string: str) -> list[str]: + """Split an argument string as with :func:`shlex.split`, but don't + fail if the string is incomplete. Ignores a missing closing quote or + incomplete escape sequence and uses the partial token as-is. + + .. code-block:: python + + split_arg_string("example 'my file") + ["example", "my file"] + + split_arg_string("example my\\") + ["example", "my"] + + :param string: String to split. + + .. versionchanged:: 8.2 + Moved to ``shell_completion`` from ``parser``. + """ + import shlex + + lex = shlex.shlex(string, posix=True) + lex.whitespace_split = True + lex.commenters = "" + out = [] + + try: + for token in lex: + out.append(token) + except ValueError: + # Raised when end-of-string is reached in an invalid state. Use + # the partial token as-is. The quote or escape character is in + # lex.state, not lex.token. + out.append(lex.token) + + return out + + +def _is_incomplete_argument(ctx: Context, param: Parameter) -> bool: + """Determine if the given parameter is an argument that can still + accept values. + + :param ctx: Invocation context for the command represented by the + parsed complete args. + :param param: Argument object being checked. + """ + if not isinstance(param, Argument): + return False + + assert param.name is not None + # Will be None if expose_value is False. + value = ctx.params.get(param.name) + return ( + param.nargs == -1 + or ctx.get_parameter_source(param.name) is not ParameterSource.COMMANDLINE + or ( + param.nargs > 1 + and isinstance(value, (tuple, list)) + and len(value) < param.nargs + ) + ) + + +def _start_of_option(ctx: Context, value: str) -> bool: + """Check if the value looks like the start of an option.""" + if not value: + return False + + c = value[0] + return c in ctx._opt_prefixes + + +def _is_incomplete_option(ctx: Context, args: list[str], param: Parameter) -> bool: + """Determine if the given parameter is an option that needs a value. + + :param args: List of complete args before the incomplete value. + :param param: Option object being checked. + """ + if not isinstance(param, Option): + return False + + if param.is_flag or param.count: + return False + + last_option = None + + for index, arg in enumerate(reversed(args)): + if index + 1 > param.nargs: + break + + if _start_of_option(ctx, arg): + last_option = arg + break + + return last_option is not None and last_option in param.opts + + +def _resolve_context( + cli: Command, + ctx_args: cabc.MutableMapping[str, t.Any], + prog_name: str, + args: list[str], +) -> Context: + """Produce the context hierarchy starting with the command and + traversing the complete arguments. This only follows the commands, + it doesn't trigger input prompts or callbacks. + + :param cli: Command being called. + :param prog_name: Name of the executable in the shell. + :param args: List of complete args before the incomplete value. + """ + ctx_args["resilient_parsing"] = True + with cli.make_context(prog_name, args.copy(), **ctx_args) as ctx: + args = ctx._protected_args + ctx.args + + while args: + command = ctx.command + + if isinstance(command, Group): + if not command.chain: + name, cmd, args = command.resolve_command(ctx, args) + + if cmd is None: + return ctx + + with cmd.make_context( + name, args, parent=ctx, resilient_parsing=True + ) as sub_ctx: + ctx = sub_ctx + args = ctx._protected_args + ctx.args + else: + sub_ctx = ctx + + while args: + name, cmd, args = command.resolve_command(ctx, args) + + if cmd is None: + return ctx + + with cmd.make_context( + name, + args, + parent=ctx, + allow_extra_args=True, + allow_interspersed_args=False, + resilient_parsing=True, + ) as sub_sub_ctx: + sub_ctx = sub_sub_ctx + args = sub_ctx.args + + ctx = sub_ctx + args = [*sub_ctx._protected_args, *sub_ctx.args] + else: + break + + return ctx + + +def _resolve_incomplete( + ctx: Context, args: list[str], incomplete: str +) -> tuple[Command | Parameter, str]: + """Find the Click object that will handle the completion of the + incomplete value. Return the object and the incomplete value. + + :param ctx: Invocation context for the command represented by + the parsed complete args. + :param args: List of complete args before the incomplete value. + :param incomplete: Value being completed. May be empty. + """ + # Different shells treat an "=" between a long option name and + # value differently. Might keep the value joined, return the "=" + # as a separate item, or return the split name and value. Always + # split and discard the "=" to make completion easier. + if incomplete == "=": + incomplete = "" + elif "=" in incomplete and _start_of_option(ctx, incomplete): + name, _, incomplete = incomplete.partition("=") + args.append(name) + + # The "--" marker tells Click to stop treating values as options + # even if they start with the option character. If it hasn't been + # given and the incomplete arg looks like an option, the current + # command will provide option name completions. + if "--" not in args and _start_of_option(ctx, incomplete): + return ctx.command, incomplete + + params = ctx.command.get_params(ctx) + + # If the last complete arg is an option name with an incomplete + # value, the option will provide value completions. + for param in params: + if _is_incomplete_option(ctx, args, param): + return param, incomplete + + # It's not an option name or value. The first argument without a + # parsed value will provide value completions. + for param in params: + if _is_incomplete_argument(ctx, param): + return param, incomplete + + # There were no unparsed arguments, the command may be a group that + # will provide command name completions. + return ctx.command, incomplete diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/termui.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/termui.py new file mode 100644 index 0000000000000000000000000000000000000000..2e98a0771ca410a7a2ed83199cf401e75cc6d41f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/termui.py @@ -0,0 +1,883 @@ +from __future__ import annotations + +import collections.abc as cabc +import inspect +import io +import itertools +import sys +import typing as t +from contextlib import AbstractContextManager +from gettext import gettext as _ + +from ._compat import isatty +from ._compat import strip_ansi +from .exceptions import Abort +from .exceptions import UsageError +from .globals import resolve_color_default +from .types import Choice +from .types import convert_type +from .types import ParamType +from .utils import echo +from .utils import LazyFile + +if t.TYPE_CHECKING: + from ._termui_impl import ProgressBar + +V = t.TypeVar("V") + +# The prompt functions to use. The doc tools currently override these +# functions to customize how they work. +visible_prompt_func: t.Callable[[str], str] = input + +_ansi_colors = { + "black": 30, + "red": 31, + "green": 32, + "yellow": 33, + "blue": 34, + "magenta": 35, + "cyan": 36, + "white": 37, + "reset": 39, + "bright_black": 90, + "bright_red": 91, + "bright_green": 92, + "bright_yellow": 93, + "bright_blue": 94, + "bright_magenta": 95, + "bright_cyan": 96, + "bright_white": 97, +} +_ansi_reset_all = "\033[0m" + + +def hidden_prompt_func(prompt: str) -> str: + import getpass + + return getpass.getpass(prompt) + + +def _build_prompt( + text: str, + suffix: str, + show_default: bool = False, + default: t.Any | None = None, + show_choices: bool = True, + type: ParamType | None = None, +) -> str: + prompt = text + if type is not None and show_choices and isinstance(type, Choice): + prompt += f" ({', '.join(map(str, type.choices))})" + if default is not None and show_default: + prompt = f"{prompt} [{_format_default(default)}]" + return f"{prompt}{suffix}" + + +def _format_default(default: t.Any) -> t.Any: + if isinstance(default, (io.IOBase, LazyFile)) and hasattr(default, "name"): + return default.name + + return default + + +def prompt( + text: str, + default: t.Any | None = None, + hide_input: bool = False, + confirmation_prompt: bool | str = False, + type: ParamType | t.Any | None = None, + value_proc: t.Callable[[str], t.Any] | None = None, + prompt_suffix: str = ": ", + show_default: bool = True, + err: bool = False, + show_choices: bool = True, +) -> t.Any: + """Prompts a user for input. This is a convenience function that can + be used to prompt a user for input later. + + If the user aborts the input by sending an interrupt signal, this + function will catch it and raise a :exc:`Abort` exception. + + :param text: the text to show for the prompt. + :param default: the default value to use if no input happens. If this + is not given it will prompt until it's aborted. + :param hide_input: if this is set to true then the input value will + be hidden. + :param confirmation_prompt: Prompt a second time to confirm the + value. Can be set to a string instead of ``True`` to customize + the message. + :param type: the type to use to check the value against. + :param value_proc: if this parameter is provided it's a function that + is invoked instead of the type conversion to + convert a value. + :param prompt_suffix: a suffix that should be added to the prompt. + :param show_default: shows or hides the default value in the prompt. + :param err: if set to true the file defaults to ``stderr`` instead of + ``stdout``, the same as with echo. + :param show_choices: Show or hide choices if the passed type is a Choice. + For example if type is a Choice of either day or week, + show_choices is true and text is "Group by" then the + prompt will be "Group by (day, week): ". + + .. versionchanged:: 8.3.1 + A space is no longer appended to the prompt. + + .. versionadded:: 8.0 + ``confirmation_prompt`` can be a custom string. + + .. versionadded:: 7.0 + Added the ``show_choices`` parameter. + + .. versionadded:: 6.0 + Added unicode support for cmd.exe on Windows. + + .. versionadded:: 4.0 + Added the `err` parameter. + + """ + + def prompt_func(text: str) -> str: + f = hidden_prompt_func if hide_input else visible_prompt_func + try: + # Write the prompt separately so that we get nice + # coloring through colorama on Windows + echo(text[:-1], nl=False, err=err) + # Echo the last character to stdout to work around an issue where + # readline causes backspace to clear the whole line. + return f(text[-1:]) + except (KeyboardInterrupt, EOFError): + # getpass doesn't print a newline if the user aborts input with ^C. + # Allegedly this behavior is inherited from getpass(3). + # A doc bug has been filed at https://bugs.python.org/issue24711 + if hide_input: + echo(None, err=err) + raise Abort() from None + + if value_proc is None: + value_proc = convert_type(type, default) + + prompt = _build_prompt( + text, prompt_suffix, show_default, default, show_choices, type + ) + + if confirmation_prompt: + if confirmation_prompt is True: + confirmation_prompt = _("Repeat for confirmation") + + confirmation_prompt = _build_prompt(confirmation_prompt, prompt_suffix) + + while True: + while True: + value = prompt_func(prompt) + if value: + break + elif default is not None: + value = default + break + try: + result = value_proc(value) + except UsageError as e: + if hide_input: + echo(_("Error: The value you entered was invalid."), err=err) + else: + echo(_("Error: {e.message}").format(e=e), err=err) + continue + if not confirmation_prompt: + return result + while True: + value2 = prompt_func(confirmation_prompt) + is_empty = not value and not value2 + if value2 or is_empty: + break + if value == value2: + return result + echo(_("Error: The two entered values do not match."), err=err) + + +def confirm( + text: str, + default: bool | None = False, + abort: bool = False, + prompt_suffix: str = ": ", + show_default: bool = True, + err: bool = False, +) -> bool: + """Prompts for confirmation (yes/no question). + + If the user aborts the input by sending a interrupt signal this + function will catch it and raise a :exc:`Abort` exception. + + :param text: the question to ask. + :param default: The default value to use when no input is given. If + ``None``, repeat until input is given. + :param abort: if this is set to `True` a negative answer aborts the + exception by raising :exc:`Abort`. + :param prompt_suffix: a suffix that should be added to the prompt. + :param show_default: shows or hides the default value in the prompt. + :param err: if set to true the file defaults to ``stderr`` instead of + ``stdout``, the same as with echo. + + .. versionchanged:: 8.3.1 + A space is no longer appended to the prompt. + + .. versionchanged:: 8.0 + Repeat until input is given if ``default`` is ``None``. + + .. versionadded:: 4.0 + Added the ``err`` parameter. + """ + prompt = _build_prompt( + text, + prompt_suffix, + show_default, + "y/n" if default is None else ("Y/n" if default else "y/N"), + ) + + while True: + try: + # Write the prompt separately so that we get nice + # coloring through colorama on Windows + echo(prompt[:-1], nl=False, err=err) + # Echo the last character to stdout to work around an issue where + # readline causes backspace to clear the whole line. + value = visible_prompt_func(prompt[-1:]).lower().strip() + except (KeyboardInterrupt, EOFError): + raise Abort() from None + if value in ("y", "yes"): + rv = True + elif value in ("n", "no"): + rv = False + elif default is not None and value == "": + rv = default + else: + echo(_("Error: invalid input"), err=err) + continue + break + if abort and not rv: + raise Abort() + return rv + + +def echo_via_pager( + text_or_generator: cabc.Iterable[str] | t.Callable[[], cabc.Iterable[str]] | str, + color: bool | None = None, +) -> None: + """This function takes a text and shows it via an environment specific + pager on stdout. + + .. versionchanged:: 3.0 + Added the `color` flag. + + :param text_or_generator: the text to page, or alternatively, a + generator emitting the text to page. + :param color: controls if the pager supports ANSI colors or not. The + default is autodetection. + """ + color = resolve_color_default(color) + + if inspect.isgeneratorfunction(text_or_generator): + i = t.cast("t.Callable[[], cabc.Iterable[str]]", text_or_generator)() + elif isinstance(text_or_generator, str): + i = [text_or_generator] + else: + i = iter(t.cast("cabc.Iterable[str]", text_or_generator)) + + # convert every element of i to a text type if necessary + text_generator = (el if isinstance(el, str) else str(el) for el in i) + + from ._termui_impl import pager + + return pager(itertools.chain(text_generator, "\n"), color) + + +@t.overload +def progressbar( + *, + length: int, + label: str | None = None, + hidden: bool = False, + show_eta: bool = True, + show_percent: bool | None = None, + show_pos: bool = False, + fill_char: str = "#", + empty_char: str = "-", + bar_template: str = "%(label)s [%(bar)s] %(info)s", + info_sep: str = " ", + width: int = 36, + file: t.TextIO | None = None, + color: bool | None = None, + update_min_steps: int = 1, +) -> ProgressBar[int]: ... + + +@t.overload +def progressbar( + iterable: cabc.Iterable[V] | None = None, + length: int | None = None, + label: str | None = None, + hidden: bool = False, + show_eta: bool = True, + show_percent: bool | None = None, + show_pos: bool = False, + item_show_func: t.Callable[[V | None], str | None] | None = None, + fill_char: str = "#", + empty_char: str = "-", + bar_template: str = "%(label)s [%(bar)s] %(info)s", + info_sep: str = " ", + width: int = 36, + file: t.TextIO | None = None, + color: bool | None = None, + update_min_steps: int = 1, +) -> ProgressBar[V]: ... + + +def progressbar( + iterable: cabc.Iterable[V] | None = None, + length: int | None = None, + label: str | None = None, + hidden: bool = False, + show_eta: bool = True, + show_percent: bool | None = None, + show_pos: bool = False, + item_show_func: t.Callable[[V | None], str | None] | None = None, + fill_char: str = "#", + empty_char: str = "-", + bar_template: str = "%(label)s [%(bar)s] %(info)s", + info_sep: str = " ", + width: int = 36, + file: t.TextIO | None = None, + color: bool | None = None, + update_min_steps: int = 1, +) -> ProgressBar[V]: + """This function creates an iterable context manager that can be used + to iterate over something while showing a progress bar. It will + either iterate over the `iterable` or `length` items (that are counted + up). While iteration happens, this function will print a rendered + progress bar to the given `file` (defaults to stdout) and will attempt + to calculate remaining time and more. By default, this progress bar + will not be rendered if the file is not a terminal. + + The context manager creates the progress bar. When the context + manager is entered the progress bar is already created. With every + iteration over the progress bar, the iterable passed to the bar is + advanced and the bar is updated. When the context manager exits, + a newline is printed and the progress bar is finalized on screen. + + Note: The progress bar is currently designed for use cases where the + total progress can be expected to take at least several seconds. + Because of this, the ProgressBar class object won't display + progress that is considered too fast, and progress where the time + between steps is less than a second. + + No printing must happen or the progress bar will be unintentionally + destroyed. + + Example usage:: + + with progressbar(items) as bar: + for item in bar: + do_something_with(item) + + Alternatively, if no iterable is specified, one can manually update the + progress bar through the `update()` method instead of directly + iterating over the progress bar. The update method accepts the number + of steps to increment the bar with:: + + with progressbar(length=chunks.total_bytes) as bar: + for chunk in chunks: + process_chunk(chunk) + bar.update(chunks.bytes) + + The ``update()`` method also takes an optional value specifying the + ``current_item`` at the new position. This is useful when used + together with ``item_show_func`` to customize the output for each + manual step:: + + with click.progressbar( + length=total_size, + label='Unzipping archive', + item_show_func=lambda a: a.filename + ) as bar: + for archive in zip_file: + archive.extract() + bar.update(archive.size, archive) + + :param iterable: an iterable to iterate over. If not provided the length + is required. + :param length: the number of items to iterate over. By default the + progressbar will attempt to ask the iterator about its + length, which might or might not work. If an iterable is + also provided this parameter can be used to override the + length. If an iterable is not provided the progress bar + will iterate over a range of that length. + :param label: the label to show next to the progress bar. + :param hidden: hide the progressbar. Defaults to ``False``. When no tty is + detected, it will only print the progressbar label. Setting this to + ``False`` also disables that. + :param show_eta: enables or disables the estimated time display. This is + automatically disabled if the length cannot be + determined. + :param show_percent: enables or disables the percentage display. The + default is `True` if the iterable has a length or + `False` if not. + :param show_pos: enables or disables the absolute position display. The + default is `False`. + :param item_show_func: A function called with the current item which + can return a string to show next to the progress bar. If the + function returns ``None`` nothing is shown. The current item can + be ``None``, such as when entering and exiting the bar. + :param fill_char: the character to use to show the filled part of the + progress bar. + :param empty_char: the character to use to show the non-filled part of + the progress bar. + :param bar_template: the format string to use as template for the bar. + The parameters in it are ``label`` for the label, + ``bar`` for the progress bar and ``info`` for the + info section. + :param info_sep: the separator between multiple info items (eta etc.) + :param width: the width of the progress bar in characters, 0 means full + terminal width + :param file: The file to write to. If this is not a terminal then + only the label is printed. + :param color: controls if the terminal supports ANSI colors or not. The + default is autodetection. This is only needed if ANSI + codes are included anywhere in the progress bar output + which is not the case by default. + :param update_min_steps: Render only when this many updates have + completed. This allows tuning for very fast iterators. + + .. versionadded:: 8.2 + The ``hidden`` argument. + + .. versionchanged:: 8.0 + Output is shown even if execution time is less than 0.5 seconds. + + .. versionchanged:: 8.0 + ``item_show_func`` shows the current item, not the previous one. + + .. versionchanged:: 8.0 + Labels are echoed if the output is not a TTY. Reverts a change + in 7.0 that removed all output. + + .. versionadded:: 8.0 + The ``update_min_steps`` parameter. + + .. versionadded:: 4.0 + The ``color`` parameter and ``update`` method. + + .. versionadded:: 2.0 + """ + from ._termui_impl import ProgressBar + + color = resolve_color_default(color) + return ProgressBar( + iterable=iterable, + length=length, + hidden=hidden, + show_eta=show_eta, + show_percent=show_percent, + show_pos=show_pos, + item_show_func=item_show_func, + fill_char=fill_char, + empty_char=empty_char, + bar_template=bar_template, + info_sep=info_sep, + file=file, + label=label, + width=width, + color=color, + update_min_steps=update_min_steps, + ) + + +def clear() -> None: + """Clears the terminal screen. This will have the effect of clearing + the whole visible space of the terminal and moving the cursor to the + top left. This does not do anything if not connected to a terminal. + + .. versionadded:: 2.0 + """ + if not isatty(sys.stdout): + return + + # ANSI escape \033[2J clears the screen, \033[1;1H moves the cursor + echo("\033[2J\033[1;1H", nl=False) + + +def _interpret_color(color: int | tuple[int, int, int] | str, offset: int = 0) -> str: + if isinstance(color, int): + return f"{38 + offset};5;{color:d}" + + if isinstance(color, (tuple, list)): + r, g, b = color + return f"{38 + offset};2;{r:d};{g:d};{b:d}" + + return str(_ansi_colors[color] + offset) + + +def style( + text: t.Any, + fg: int | tuple[int, int, int] | str | None = None, + bg: int | tuple[int, int, int] | str | None = None, + bold: bool | None = None, + dim: bool | None = None, + underline: bool | None = None, + overline: bool | None = None, + italic: bool | None = None, + blink: bool | None = None, + reverse: bool | None = None, + strikethrough: bool | None = None, + reset: bool = True, +) -> str: + """Styles a text with ANSI styles and returns the new string. By + default the styling is self contained which means that at the end + of the string a reset code is issued. This can be prevented by + passing ``reset=False``. + + Examples:: + + click.echo(click.style('Hello World!', fg='green')) + click.echo(click.style('ATTENTION!', blink=True)) + click.echo(click.style('Some things', reverse=True, fg='cyan')) + click.echo(click.style('More colors', fg=(255, 12, 128), bg=117)) + + Supported color names: + + * ``black`` (might be a gray) + * ``red`` + * ``green`` + * ``yellow`` (might be an orange) + * ``blue`` + * ``magenta`` + * ``cyan`` + * ``white`` (might be light gray) + * ``bright_black`` + * ``bright_red`` + * ``bright_green`` + * ``bright_yellow`` + * ``bright_blue`` + * ``bright_magenta`` + * ``bright_cyan`` + * ``bright_white`` + * ``reset`` (reset the color code only) + + If the terminal supports it, color may also be specified as: + + - An integer in the interval [0, 255]. The terminal must support + 8-bit/256-color mode. + - An RGB tuple of three integers in [0, 255]. The terminal must + support 24-bit/true-color mode. + + See https://en.wikipedia.org/wiki/ANSI_color and + https://gist.github.com/XVilka/8346728 for more information. + + :param text: the string to style with ansi codes. + :param fg: if provided this will become the foreground color. + :param bg: if provided this will become the background color. + :param bold: if provided this will enable or disable bold mode. + :param dim: if provided this will enable or disable dim mode. This is + badly supported. + :param underline: if provided this will enable or disable underline. + :param overline: if provided this will enable or disable overline. + :param italic: if provided this will enable or disable italic. + :param blink: if provided this will enable or disable blinking. + :param reverse: if provided this will enable or disable inverse + rendering (foreground becomes background and the + other way round). + :param strikethrough: if provided this will enable or disable + striking through text. + :param reset: by default a reset-all code is added at the end of the + string which means that styles do not carry over. This + can be disabled to compose styles. + + .. versionchanged:: 8.0 + A non-string ``message`` is converted to a string. + + .. versionchanged:: 8.0 + Added support for 256 and RGB color codes. + + .. versionchanged:: 8.0 + Added the ``strikethrough``, ``italic``, and ``overline`` + parameters. + + .. versionchanged:: 7.0 + Added support for bright colors. + + .. versionadded:: 2.0 + """ + if not isinstance(text, str): + text = str(text) + + bits = [] + + if fg: + try: + bits.append(f"\033[{_interpret_color(fg)}m") + except KeyError: + raise TypeError(f"Unknown color {fg!r}") from None + + if bg: + try: + bits.append(f"\033[{_interpret_color(bg, 10)}m") + except KeyError: + raise TypeError(f"Unknown color {bg!r}") from None + + if bold is not None: + bits.append(f"\033[{1 if bold else 22}m") + if dim is not None: + bits.append(f"\033[{2 if dim else 22}m") + if underline is not None: + bits.append(f"\033[{4 if underline else 24}m") + if overline is not None: + bits.append(f"\033[{53 if overline else 55}m") + if italic is not None: + bits.append(f"\033[{3 if italic else 23}m") + if blink is not None: + bits.append(f"\033[{5 if blink else 25}m") + if reverse is not None: + bits.append(f"\033[{7 if reverse else 27}m") + if strikethrough is not None: + bits.append(f"\033[{9 if strikethrough else 29}m") + bits.append(text) + if reset: + bits.append(_ansi_reset_all) + return "".join(bits) + + +def unstyle(text: str) -> str: + """Removes ANSI styling information from a string. Usually it's not + necessary to use this function as Click's echo function will + automatically remove styling if necessary. + + .. versionadded:: 2.0 + + :param text: the text to remove style information from. + """ + return strip_ansi(text) + + +def secho( + message: t.Any | None = None, + file: t.IO[t.AnyStr] | None = None, + nl: bool = True, + err: bool = False, + color: bool | None = None, + **styles: t.Any, +) -> None: + """This function combines :func:`echo` and :func:`style` into one + call. As such the following two calls are the same:: + + click.secho('Hello World!', fg='green') + click.echo(click.style('Hello World!', fg='green')) + + All keyword arguments are forwarded to the underlying functions + depending on which one they go with. + + Non-string types will be converted to :class:`str`. However, + :class:`bytes` are passed directly to :meth:`echo` without applying + style. If you want to style bytes that represent text, call + :meth:`bytes.decode` first. + + .. versionchanged:: 8.0 + A non-string ``message`` is converted to a string. Bytes are + passed through without style applied. + + .. versionadded:: 2.0 + """ + if message is not None and not isinstance(message, (bytes, bytearray)): + message = style(message, **styles) + + return echo(message, file=file, nl=nl, err=err, color=color) + + +@t.overload +def edit( + text: bytes | bytearray, + editor: str | None = None, + env: cabc.Mapping[str, str] | None = None, + require_save: bool = False, + extension: str = ".txt", +) -> bytes | None: ... + + +@t.overload +def edit( + text: str, + editor: str | None = None, + env: cabc.Mapping[str, str] | None = None, + require_save: bool = True, + extension: str = ".txt", +) -> str | None: ... + + +@t.overload +def edit( + text: None = None, + editor: str | None = None, + env: cabc.Mapping[str, str] | None = None, + require_save: bool = True, + extension: str = ".txt", + filename: str | cabc.Iterable[str] | None = None, +) -> None: ... + + +def edit( + text: str | bytes | bytearray | None = None, + editor: str | None = None, + env: cabc.Mapping[str, str] | None = None, + require_save: bool = True, + extension: str = ".txt", + filename: str | cabc.Iterable[str] | None = None, +) -> str | bytes | bytearray | None: + r"""Edits the given text in the defined editor. If an editor is given + (should be the full path to the executable but the regular operating + system search path is used for finding the executable) it overrides + the detected editor. Optionally, some environment variables can be + used. If the editor is closed without changes, `None` is returned. In + case a file is edited directly the return value is always `None` and + `require_save` and `extension` are ignored. + + If the editor cannot be opened a :exc:`UsageError` is raised. + + Note for Windows: to simplify cross-platform usage, the newlines are + automatically converted from POSIX to Windows and vice versa. As such, + the message here will have ``\n`` as newline markers. + + :param text: the text to edit. + :param editor: optionally the editor to use. Defaults to automatic + detection. + :param env: environment variables to forward to the editor. + :param require_save: if this is true, then not saving in the editor + will make the return value become `None`. + :param extension: the extension to tell the editor about. This defaults + to `.txt` but changing this might change syntax + highlighting. + :param filename: if provided it will edit this file instead of the + provided text contents. It will not use a temporary + file as an indirection in that case. If the editor supports + editing multiple files at once, a sequence of files may be + passed as well. Invoke `click.file` once per file instead + if multiple files cannot be managed at once or editing the + files serially is desired. + + .. versionchanged:: 8.2.0 + ``filename`` now accepts any ``Iterable[str]`` in addition to a ``str`` + if the ``editor`` supports editing multiple files at once. + + """ + from ._termui_impl import Editor + + ed = Editor(editor=editor, env=env, require_save=require_save, extension=extension) + + if filename is None: + return ed.edit(text) + + if isinstance(filename, str): + filename = (filename,) + + ed.edit_files(filenames=filename) + return None + + +def launch(url: str, wait: bool = False, locate: bool = False) -> int: + """This function launches the given URL (or filename) in the default + viewer application for this file type. If this is an executable, it + might launch the executable in a new session. The return value is + the exit code of the launched application. Usually, ``0`` indicates + success. + + Examples:: + + click.launch('https://click.palletsprojects.com/') + click.launch('/my/downloaded/file', locate=True) + + .. versionadded:: 2.0 + + :param url: URL or filename of the thing to launch. + :param wait: Wait for the program to exit before returning. This + only works if the launched program blocks. In particular, + ``xdg-open`` on Linux does not block. + :param locate: if this is set to `True` then instead of launching the + application associated with the URL it will attempt to + launch a file manager with the file located. This + might have weird effects if the URL does not point to + the filesystem. + """ + from ._termui_impl import open_url + + return open_url(url, wait=wait, locate=locate) + + +# If this is provided, getchar() calls into this instead. This is used +# for unittesting purposes. +_getchar: t.Callable[[bool], str] | None = None + + +def getchar(echo: bool = False) -> str: + """Fetches a single character from the terminal and returns it. This + will always return a unicode character and under certain rare + circumstances this might return more than one character. The + situations which more than one character is returned is when for + whatever reason multiple characters end up in the terminal buffer or + standard input was not actually a terminal. + + Note that this will always read from the terminal, even if something + is piped into the standard input. + + Note for Windows: in rare cases when typing non-ASCII characters, this + function might wait for a second character and then return both at once. + This is because certain Unicode characters look like special-key markers. + + .. versionadded:: 2.0 + + :param echo: if set to `True`, the character read will also show up on + the terminal. The default is to not show it. + """ + global _getchar + + if _getchar is None: + from ._termui_impl import getchar as f + + _getchar = f + + return _getchar(echo) + + +def raw_terminal() -> AbstractContextManager[int]: + from ._termui_impl import raw_terminal as f + + return f() + + +def pause(info: str | None = None, err: bool = False) -> None: + """This command stops execution and waits for the user to press any + key to continue. This is similar to the Windows batch "pause" + command. If the program is not run through a terminal, this command + will instead do nothing. + + .. versionadded:: 2.0 + + .. versionadded:: 4.0 + Added the `err` parameter. + + :param info: The message to print before pausing. Defaults to + ``"Press any key to continue..."``. + :param err: if set to message goes to ``stderr`` instead of + ``stdout``, the same as with echo. + """ + if not isatty(sys.stdin) or not isatty(sys.stdout): + return + + if info is None: + info = _("Press any key to continue...") + + try: + if info: + echo(info, nl=False, err=err) + try: + getchar() + except (KeyboardInterrupt, EOFError): + pass + finally: + if info: + echo(err=err) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/testing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/testing.py new file mode 100644 index 0000000000000000000000000000000000000000..f6f60b809a065e2d67de5a7ec13d9d3c51b5e760 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/testing.py @@ -0,0 +1,577 @@ +from __future__ import annotations + +import collections.abc as cabc +import contextlib +import io +import os +import shlex +import sys +import tempfile +import typing as t +from types import TracebackType + +from . import _compat +from . import formatting +from . import termui +from . import utils +from ._compat import _find_binary_reader + +if t.TYPE_CHECKING: + from _typeshed import ReadableBuffer + + from .core import Command + + +class EchoingStdin: + def __init__(self, input: t.BinaryIO, output: t.BinaryIO) -> None: + self._input = input + self._output = output + self._paused = False + + def __getattr__(self, x: str) -> t.Any: + return getattr(self._input, x) + + def _echo(self, rv: bytes) -> bytes: + if not self._paused: + self._output.write(rv) + + return rv + + def read(self, n: int = -1) -> bytes: + return self._echo(self._input.read(n)) + + def read1(self, n: int = -1) -> bytes: + return self._echo(self._input.read1(n)) # type: ignore + + def readline(self, n: int = -1) -> bytes: + return self._echo(self._input.readline(n)) + + def readlines(self) -> list[bytes]: + return [self._echo(x) for x in self._input.readlines()] + + def __iter__(self) -> cabc.Iterator[bytes]: + return iter(self._echo(x) for x in self._input) + + def __repr__(self) -> str: + return repr(self._input) + + +@contextlib.contextmanager +def _pause_echo(stream: EchoingStdin | None) -> cabc.Iterator[None]: + if stream is None: + yield + else: + stream._paused = True + yield + stream._paused = False + + +class BytesIOCopy(io.BytesIO): + """Patch ``io.BytesIO`` to let the written stream be copied to another. + + .. versionadded:: 8.2 + """ + + def __init__(self, copy_to: io.BytesIO) -> None: + super().__init__() + self.copy_to = copy_to + + def flush(self) -> None: + super().flush() + self.copy_to.flush() + + def write(self, b: ReadableBuffer) -> int: + self.copy_to.write(b) + return super().write(b) + + +class StreamMixer: + """Mixes `` and `` streams. + + The result is available in the ``output`` attribute. + + .. versionadded:: 8.2 + """ + + def __init__(self) -> None: + self.output: io.BytesIO = io.BytesIO() + self.stdout: io.BytesIO = BytesIOCopy(copy_to=self.output) + self.stderr: io.BytesIO = BytesIOCopy(copy_to=self.output) + + def __del__(self) -> None: + """ + Guarantee that embedded file-like objects are closed in a + predictable order, protecting against races between + self.output being closed and other streams being flushed on close + + .. versionadded:: 8.2.2 + """ + self.stderr.close() + self.stdout.close() + self.output.close() + + +class _NamedTextIOWrapper(io.TextIOWrapper): + def __init__( + self, buffer: t.BinaryIO, name: str, mode: str, **kwargs: t.Any + ) -> None: + super().__init__(buffer, **kwargs) + self._name = name + self._mode = mode + + @property + def name(self) -> str: + return self._name + + @property + def mode(self) -> str: + return self._mode + + +def make_input_stream( + input: str | bytes | t.IO[t.Any] | None, charset: str +) -> t.BinaryIO: + # Is already an input stream. + if hasattr(input, "read"): + rv = _find_binary_reader(t.cast("t.IO[t.Any]", input)) + + if rv is not None: + return rv + + raise TypeError("Could not find binary reader for input stream.") + + if input is None: + input = b"" + elif isinstance(input, str): + input = input.encode(charset) + + return io.BytesIO(input) + + +class Result: + """Holds the captured result of an invoked CLI script. + + :param runner: The runner that created the result + :param stdout_bytes: The standard output as bytes. + :param stderr_bytes: The standard error as bytes. + :param output_bytes: A mix of ``stdout_bytes`` and ``stderr_bytes``, as the + user would see it in its terminal. + :param return_value: The value returned from the invoked command. + :param exit_code: The exit code as integer. + :param exception: The exception that happened if one did. + :param exc_info: Exception information (exception type, exception instance, + traceback type). + + .. versionchanged:: 8.2 + ``stderr_bytes`` no longer optional, ``output_bytes`` introduced and + ``mix_stderr`` has been removed. + + .. versionadded:: 8.0 + Added ``return_value``. + """ + + def __init__( + self, + runner: CliRunner, + stdout_bytes: bytes, + stderr_bytes: bytes, + output_bytes: bytes, + return_value: t.Any, + exit_code: int, + exception: BaseException | None, + exc_info: tuple[type[BaseException], BaseException, TracebackType] + | None = None, + ): + self.runner = runner + self.stdout_bytes = stdout_bytes + self.stderr_bytes = stderr_bytes + self.output_bytes = output_bytes + self.return_value = return_value + self.exit_code = exit_code + self.exception = exception + self.exc_info = exc_info + + @property + def output(self) -> str: + """The terminal output as unicode string, as the user would see it. + + .. versionchanged:: 8.2 + No longer a proxy for ``self.stdout``. Now has its own independent stream + that is mixing `` and ``, in the order they were written. + """ + return self.output_bytes.decode(self.runner.charset, "replace").replace( + "\r\n", "\n" + ) + + @property + def stdout(self) -> str: + """The standard output as unicode string.""" + return self.stdout_bytes.decode(self.runner.charset, "replace").replace( + "\r\n", "\n" + ) + + @property + def stderr(self) -> str: + """The standard error as unicode string. + + .. versionchanged:: 8.2 + No longer raise an exception, always returns the `` string. + """ + return self.stderr_bytes.decode(self.runner.charset, "replace").replace( + "\r\n", "\n" + ) + + def __repr__(self) -> str: + exc_str = repr(self.exception) if self.exception else "okay" + return f"<{type(self).__name__} {exc_str}>" + + +class CliRunner: + """The CLI runner provides functionality to invoke a Click command line + script for unittesting purposes in a isolated environment. This only + works in single-threaded systems without any concurrency as it changes the + global interpreter state. + + :param charset: the character set for the input and output data. + :param env: a dictionary with environment variables for overriding. + :param echo_stdin: if this is set to `True`, then reading from `` writes + to ``. This is useful for showing examples in + some circumstances. Note that regular prompts + will automatically echo the input. + :param catch_exceptions: Whether to catch any exceptions other than + ``SystemExit`` when running :meth:`~CliRunner.invoke`. + + .. versionchanged:: 8.2 + Added the ``catch_exceptions`` parameter. + + .. versionchanged:: 8.2 + ``mix_stderr`` parameter has been removed. + """ + + def __init__( + self, + charset: str = "utf-8", + env: cabc.Mapping[str, str | None] | None = None, + echo_stdin: bool = False, + catch_exceptions: bool = True, + ) -> None: + self.charset = charset + self.env: cabc.Mapping[str, str | None] = env or {} + self.echo_stdin = echo_stdin + self.catch_exceptions = catch_exceptions + + def get_default_prog_name(self, cli: Command) -> str: + """Given a command object it will return the default program name + for it. The default is the `name` attribute or ``"root"`` if not + set. + """ + return cli.name or "root" + + def make_env( + self, overrides: cabc.Mapping[str, str | None] | None = None + ) -> cabc.Mapping[str, str | None]: + """Returns the environment overrides for invoking a script.""" + rv = dict(self.env) + if overrides: + rv.update(overrides) + return rv + + @contextlib.contextmanager + def isolation( + self, + input: str | bytes | t.IO[t.Any] | None = None, + env: cabc.Mapping[str, str | None] | None = None, + color: bool = False, + ) -> cabc.Iterator[tuple[io.BytesIO, io.BytesIO, io.BytesIO]]: + """A context manager that sets up the isolation for invoking of a + command line tool. This sets up `` with the given input data + and `os.environ` with the overrides from the given dictionary. + This also rebinds some internals in Click to be mocked (like the + prompt functionality). + + This is automatically done in the :meth:`invoke` method. + + :param input: the input stream to put into `sys.stdin`. + :param env: the environment overrides as dictionary. + :param color: whether the output should contain color codes. The + application can still override this explicitly. + + .. versionadded:: 8.2 + An additional output stream is returned, which is a mix of + `` and `` streams. + + .. versionchanged:: 8.2 + Always returns the `` stream. + + .. versionchanged:: 8.0 + `` is opened with ``errors="backslashreplace"`` + instead of the default ``"strict"``. + + .. versionchanged:: 4.0 + Added the ``color`` parameter. + """ + bytes_input = make_input_stream(input, self.charset) + echo_input = None + + old_stdin = sys.stdin + old_stdout = sys.stdout + old_stderr = sys.stderr + old_forced_width = formatting.FORCED_WIDTH + formatting.FORCED_WIDTH = 80 + + env = self.make_env(env) + + stream_mixer = StreamMixer() + + if self.echo_stdin: + bytes_input = echo_input = t.cast( + t.BinaryIO, EchoingStdin(bytes_input, stream_mixer.stdout) + ) + + sys.stdin = text_input = _NamedTextIOWrapper( + bytes_input, encoding=self.charset, name="", mode="r" + ) + + if self.echo_stdin: + # Force unbuffered reads, otherwise TextIOWrapper reads a + # large chunk which is echoed early. + text_input._CHUNK_SIZE = 1 # type: ignore + + sys.stdout = _NamedTextIOWrapper( + stream_mixer.stdout, encoding=self.charset, name="", mode="w" + ) + + sys.stderr = _NamedTextIOWrapper( + stream_mixer.stderr, + encoding=self.charset, + name="", + mode="w", + errors="backslashreplace", + ) + + @_pause_echo(echo_input) # type: ignore + def visible_input(prompt: str | None = None) -> str: + sys.stdout.write(prompt or "") + try: + val = next(text_input).rstrip("\r\n") + except StopIteration as e: + raise EOFError() from e + sys.stdout.write(f"{val}\n") + sys.stdout.flush() + return val + + @_pause_echo(echo_input) # type: ignore + def hidden_input(prompt: str | None = None) -> str: + sys.stdout.write(f"{prompt or ''}\n") + sys.stdout.flush() + try: + return next(text_input).rstrip("\r\n") + except StopIteration as e: + raise EOFError() from e + + @_pause_echo(echo_input) # type: ignore + def _getchar(echo: bool) -> str: + char = sys.stdin.read(1) + + if echo: + sys.stdout.write(char) + + sys.stdout.flush() + return char + + default_color = color + + def should_strip_ansi( + stream: t.IO[t.Any] | None = None, color: bool | None = None + ) -> bool: + if color is None: + return not default_color + return not color + + old_visible_prompt_func = termui.visible_prompt_func + old_hidden_prompt_func = termui.hidden_prompt_func + old__getchar_func = termui._getchar + old_should_strip_ansi = utils.should_strip_ansi # type: ignore + old__compat_should_strip_ansi = _compat.should_strip_ansi + termui.visible_prompt_func = visible_input + termui.hidden_prompt_func = hidden_input + termui._getchar = _getchar + utils.should_strip_ansi = should_strip_ansi # type: ignore + _compat.should_strip_ansi = should_strip_ansi + + old_env = {} + try: + for key, value in env.items(): + old_env[key] = os.environ.get(key) + if value is None: + try: + del os.environ[key] + except Exception: + pass + else: + os.environ[key] = value + yield (stream_mixer.stdout, stream_mixer.stderr, stream_mixer.output) + finally: + for key, value in old_env.items(): + if value is None: + try: + del os.environ[key] + except Exception: + pass + else: + os.environ[key] = value + sys.stdout = old_stdout + sys.stderr = old_stderr + sys.stdin = old_stdin + termui.visible_prompt_func = old_visible_prompt_func + termui.hidden_prompt_func = old_hidden_prompt_func + termui._getchar = old__getchar_func + utils.should_strip_ansi = old_should_strip_ansi # type: ignore + _compat.should_strip_ansi = old__compat_should_strip_ansi + formatting.FORCED_WIDTH = old_forced_width + + def invoke( + self, + cli: Command, + args: str | cabc.Sequence[str] | None = None, + input: str | bytes | t.IO[t.Any] | None = None, + env: cabc.Mapping[str, str | None] | None = None, + catch_exceptions: bool | None = None, + color: bool = False, + **extra: t.Any, + ) -> Result: + """Invokes a command in an isolated environment. The arguments are + forwarded directly to the command line script, the `extra` keyword + arguments are passed to the :meth:`~clickpkg.Command.main` function of + the command. + + This returns a :class:`Result` object. + + :param cli: the command to invoke + :param args: the arguments to invoke. It may be given as an iterable + or a string. When given as string it will be interpreted + as a Unix shell command. More details at + :func:`shlex.split`. + :param input: the input data for `sys.stdin`. + :param env: the environment overrides. + :param catch_exceptions: Whether to catch any other exceptions than + ``SystemExit``. If :data:`None`, the value + from :class:`CliRunner` is used. + :param extra: the keyword arguments to pass to :meth:`main`. + :param color: whether the output should contain color codes. The + application can still override this explicitly. + + .. versionadded:: 8.2 + The result object has the ``output_bytes`` attribute with + the mix of ``stdout_bytes`` and ``stderr_bytes``, as the user would + see it in its terminal. + + .. versionchanged:: 8.2 + The result object always returns the ``stderr_bytes`` stream. + + .. versionchanged:: 8.0 + The result object has the ``return_value`` attribute with + the value returned from the invoked command. + + .. versionchanged:: 4.0 + Added the ``color`` parameter. + + .. versionchanged:: 3.0 + Added the ``catch_exceptions`` parameter. + + .. versionchanged:: 3.0 + The result object has the ``exc_info`` attribute with the + traceback if available. + """ + exc_info = None + if catch_exceptions is None: + catch_exceptions = self.catch_exceptions + + with self.isolation(input=input, env=env, color=color) as outstreams: + return_value = None + exception: BaseException | None = None + exit_code = 0 + + if isinstance(args, str): + args = shlex.split(args) + + try: + prog_name = extra.pop("prog_name") + except KeyError: + prog_name = self.get_default_prog_name(cli) + + try: + return_value = cli.main(args=args or (), prog_name=prog_name, **extra) + except SystemExit as e: + exc_info = sys.exc_info() + e_code = t.cast("int | t.Any | None", e.code) + + if e_code is None: + e_code = 0 + + if e_code != 0: + exception = e + + if not isinstance(e_code, int): + sys.stdout.write(str(e_code)) + sys.stdout.write("\n") + e_code = 1 + + exit_code = e_code + + except Exception as e: + if not catch_exceptions: + raise + exception = e + exit_code = 1 + exc_info = sys.exc_info() + finally: + sys.stdout.flush() + sys.stderr.flush() + stdout = outstreams[0].getvalue() + stderr = outstreams[1].getvalue() + output = outstreams[2].getvalue() + + return Result( + runner=self, + stdout_bytes=stdout, + stderr_bytes=stderr, + output_bytes=output, + return_value=return_value, + exit_code=exit_code, + exception=exception, + exc_info=exc_info, # type: ignore + ) + + @contextlib.contextmanager + def isolated_filesystem( + self, temp_dir: str | os.PathLike[str] | None = None + ) -> cabc.Iterator[str]: + """A context manager that creates a temporary directory and + changes the current working directory to it. This isolates tests + that affect the contents of the CWD to prevent them from + interfering with each other. + + :param temp_dir: Create the temporary directory under this + directory. If given, the created directory is not removed + when exiting. + + .. versionchanged:: 8.0 + Added the ``temp_dir`` parameter. + """ + cwd = os.getcwd() + dt = tempfile.mkdtemp(dir=temp_dir) + os.chdir(dt) + + try: + yield dt + finally: + os.chdir(cwd) + + if temp_dir is None: + import shutil + + try: + shutil.rmtree(dt) + except OSError: + pass diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/types.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/types.py new file mode 100644 index 0000000000000000000000000000000000000000..e71c1c21e4c2e1f954ceeed228507478f138993a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/types.py @@ -0,0 +1,1209 @@ +from __future__ import annotations + +import collections.abc as cabc +import enum +import os +import stat +import sys +import typing as t +from datetime import datetime +from gettext import gettext as _ +from gettext import ngettext + +from ._compat import _get_argv_encoding +from ._compat import open_stream +from .exceptions import BadParameter +from .utils import format_filename +from .utils import LazyFile +from .utils import safecall + +if t.TYPE_CHECKING: + import typing_extensions as te + + from .core import Context + from .core import Parameter + from .shell_completion import CompletionItem + +ParamTypeValue = t.TypeVar("ParamTypeValue") + + +class ParamType: + """Represents the type of a parameter. Validates and converts values + from the command line or Python into the correct type. + + To implement a custom type, subclass and implement at least the + following: + + - The :attr:`name` class attribute must be set. + - Calling an instance of the type with ``None`` must return + ``None``. This is already implemented by default. + - :meth:`convert` must convert string values to the correct type. + - :meth:`convert` must accept values that are already the correct + type. + - It must be able to convert a value if the ``ctx`` and ``param`` + arguments are ``None``. This can occur when converting prompt + input. + """ + + is_composite: t.ClassVar[bool] = False + arity: t.ClassVar[int] = 1 + + #: the descriptive name of this type + name: str + + #: if a list of this type is expected and the value is pulled from a + #: string environment variable, this is what splits it up. `None` + #: means any whitespace. For all parameters the general rule is that + #: whitespace splits them up. The exception are paths and files which + #: are split by ``os.path.pathsep`` by default (":" on Unix and ";" on + #: Windows). + envvar_list_splitter: t.ClassVar[str | None] = None + + def to_info_dict(self) -> dict[str, t.Any]: + """Gather information that could be useful for a tool generating + user-facing documentation. + + Use :meth:`click.Context.to_info_dict` to traverse the entire + CLI structure. + + .. versionadded:: 8.0 + """ + # The class name without the "ParamType" suffix. + param_type = type(self).__name__.partition("ParamType")[0] + param_type = param_type.partition("ParameterType")[0] + + # Custom subclasses might not remember to set a name. + if hasattr(self, "name"): + name = self.name + else: + name = param_type + + return {"param_type": param_type, "name": name} + + def __call__( + self, + value: t.Any, + param: Parameter | None = None, + ctx: Context | None = None, + ) -> t.Any: + if value is not None: + return self.convert(value, param, ctx) + + def get_metavar(self, param: Parameter, ctx: Context) -> str | None: + """Returns the metavar default for this param if it provides one.""" + + def get_missing_message(self, param: Parameter, ctx: Context | None) -> str | None: + """Optionally might return extra information about a missing + parameter. + + .. versionadded:: 2.0 + """ + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> t.Any: + """Convert the value to the correct type. This is not called if + the value is ``None`` (the missing value). + + This must accept string values from the command line, as well as + values that are already the correct type. It may also convert + other compatible types. + + The ``param`` and ``ctx`` arguments may be ``None`` in certain + situations, such as when converting prompt input. + + If the value cannot be converted, call :meth:`fail` with a + descriptive message. + + :param value: The value to convert. + :param param: The parameter that is using this type to convert + its value. May be ``None``. + :param ctx: The current context that arrived at this value. May + be ``None``. + """ + return value + + def split_envvar_value(self, rv: str) -> cabc.Sequence[str]: + """Given a value from an environment variable this splits it up + into small chunks depending on the defined envvar list splitter. + + If the splitter is set to `None`, which means that whitespace splits, + then leading and trailing whitespace is ignored. Otherwise, leading + and trailing splitters usually lead to empty items being included. + """ + return (rv or "").split(self.envvar_list_splitter) + + def fail( + self, + message: str, + param: Parameter | None = None, + ctx: Context | None = None, + ) -> t.NoReturn: + """Helper method to fail with an invalid value message.""" + raise BadParameter(message, ctx=ctx, param=param) + + def shell_complete( + self, ctx: Context, param: Parameter, incomplete: str + ) -> list[CompletionItem]: + """Return a list of + :class:`~click.shell_completion.CompletionItem` objects for the + incomplete value. Most types do not provide completions, but + some do, and this allows custom types to provide custom + completions as well. + + :param ctx: Invocation context for this command. + :param param: The parameter that is requesting completion. + :param incomplete: Value being completed. May be empty. + + .. versionadded:: 8.0 + """ + return [] + + +class CompositeParamType(ParamType): + is_composite = True + + @property + def arity(self) -> int: # type: ignore + raise NotImplementedError() + + +class FuncParamType(ParamType): + def __init__(self, func: t.Callable[[t.Any], t.Any]) -> None: + self.name: str = func.__name__ + self.func = func + + def to_info_dict(self) -> dict[str, t.Any]: + info_dict = super().to_info_dict() + info_dict["func"] = self.func + return info_dict + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> t.Any: + try: + return self.func(value) + except ValueError: + try: + value = str(value) + except UnicodeError: + value = value.decode("utf-8", "replace") + + self.fail(value, param, ctx) + + +class UnprocessedParamType(ParamType): + name = "text" + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> t.Any: + return value + + def __repr__(self) -> str: + return "UNPROCESSED" + + +class StringParamType(ParamType): + name = "text" + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> t.Any: + if isinstance(value, bytes): + enc = _get_argv_encoding() + try: + value = value.decode(enc) + except UnicodeError: + fs_enc = sys.getfilesystemencoding() + if fs_enc != enc: + try: + value = value.decode(fs_enc) + except UnicodeError: + value = value.decode("utf-8", "replace") + else: + value = value.decode("utf-8", "replace") + return value + return str(value) + + def __repr__(self) -> str: + return "STRING" + + +class Choice(ParamType, t.Generic[ParamTypeValue]): + """The choice type allows a value to be checked against a fixed set + of supported values. + + You may pass any iterable value which will be converted to a tuple + and thus will only be iterated once. + + The resulting value will always be one of the originally passed choices. + See :meth:`normalize_choice` for more info on the mapping of strings + to choices. See :ref:`choice-opts` for an example. + + :param case_sensitive: Set to false to make choices case + insensitive. Defaults to true. + + .. versionchanged:: 8.2.0 + Non-``str`` ``choices`` are now supported. It can additionally be any + iterable. Before you were not recommended to pass anything but a list or + tuple. + + .. versionadded:: 8.2.0 + Choice normalization can be overridden via :meth:`normalize_choice`. + """ + + name = "choice" + + def __init__( + self, choices: cabc.Iterable[ParamTypeValue], case_sensitive: bool = True + ) -> None: + self.choices: cabc.Sequence[ParamTypeValue] = tuple(choices) + self.case_sensitive = case_sensitive + + def to_info_dict(self) -> dict[str, t.Any]: + info_dict = super().to_info_dict() + info_dict["choices"] = self.choices + info_dict["case_sensitive"] = self.case_sensitive + return info_dict + + def _normalized_mapping( + self, ctx: Context | None = None + ) -> cabc.Mapping[ParamTypeValue, str]: + """ + Returns mapping where keys are the original choices and the values are + the normalized values that are accepted via the command line. + + This is a simple wrapper around :meth:`normalize_choice`, use that + instead which is supported. + """ + return { + choice: self.normalize_choice( + choice=choice, + ctx=ctx, + ) + for choice in self.choices + } + + def normalize_choice(self, choice: ParamTypeValue, ctx: Context | None) -> str: + """ + Normalize a choice value, used to map a passed string to a choice. + Each choice must have a unique normalized value. + + By default uses :meth:`Context.token_normalize_func` and if not case + sensitive, convert it to a casefolded value. + + .. versionadded:: 8.2.0 + """ + normed_value = choice.name if isinstance(choice, enum.Enum) else str(choice) + + if ctx is not None and ctx.token_normalize_func is not None: + normed_value = ctx.token_normalize_func(normed_value) + + if not self.case_sensitive: + normed_value = normed_value.casefold() + + return normed_value + + def get_metavar(self, param: Parameter, ctx: Context) -> str | None: + if param.param_type_name == "option" and not param.show_choices: # type: ignore + choice_metavars = [ + convert_type(type(choice)).name.upper() for choice in self.choices + ] + choices_str = "|".join([*dict.fromkeys(choice_metavars)]) + else: + choices_str = "|".join( + [str(i) for i in self._normalized_mapping(ctx=ctx).values()] + ) + + # Use curly braces to indicate a required argument. + if param.required and param.param_type_name == "argument": + return f"{{{choices_str}}}" + + # Use square braces to indicate an option or optional argument. + return f"[{choices_str}]" + + def get_missing_message(self, param: Parameter, ctx: Context | None) -> str: + """ + Message shown when no choice is passed. + + .. versionchanged:: 8.2.0 Added ``ctx`` argument. + """ + return _("Choose from:\n\t{choices}").format( + choices=",\n\t".join(self._normalized_mapping(ctx=ctx).values()) + ) + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> ParamTypeValue: + """ + For a given value from the parser, normalize it and find its + matching normalized value in the list of choices. Then return the + matched "original" choice. + """ + normed_value = self.normalize_choice(choice=value, ctx=ctx) + normalized_mapping = self._normalized_mapping(ctx=ctx) + + try: + return next( + original + for original, normalized in normalized_mapping.items() + if normalized == normed_value + ) + except StopIteration: + self.fail( + self.get_invalid_choice_message(value=value, ctx=ctx), + param=param, + ctx=ctx, + ) + + def get_invalid_choice_message(self, value: t.Any, ctx: Context | None) -> str: + """Get the error message when the given choice is invalid. + + :param value: The invalid value. + + .. versionadded:: 8.2 + """ + choices_str = ", ".join(map(repr, self._normalized_mapping(ctx=ctx).values())) + return ngettext( + "{value!r} is not {choice}.", + "{value!r} is not one of {choices}.", + len(self.choices), + ).format(value=value, choice=choices_str, choices=choices_str) + + def __repr__(self) -> str: + return f"Choice({list(self.choices)})" + + def shell_complete( + self, ctx: Context, param: Parameter, incomplete: str + ) -> list[CompletionItem]: + """Complete choices that start with the incomplete value. + + :param ctx: Invocation context for this command. + :param param: The parameter that is requesting completion. + :param incomplete: Value being completed. May be empty. + + .. versionadded:: 8.0 + """ + from click.shell_completion import CompletionItem + + str_choices = map(str, self.choices) + + if self.case_sensitive: + matched = (c for c in str_choices if c.startswith(incomplete)) + else: + incomplete = incomplete.lower() + matched = (c for c in str_choices if c.lower().startswith(incomplete)) + + return [CompletionItem(c) for c in matched] + + +class DateTime(ParamType): + """The DateTime type converts date strings into `datetime` objects. + + The format strings which are checked are configurable, but default to some + common (non-timezone aware) ISO 8601 formats. + + When specifying *DateTime* formats, you should only pass a list or a tuple. + Other iterables, like generators, may lead to surprising results. + + The format strings are processed using ``datetime.strptime``, and this + consequently defines the format strings which are allowed. + + Parsing is tried using each format, in order, and the first format which + parses successfully is used. + + :param formats: A list or tuple of date format strings, in the order in + which they should be tried. Defaults to + ``'%Y-%m-%d'``, ``'%Y-%m-%dT%H:%M:%S'``, + ``'%Y-%m-%d %H:%M:%S'``. + """ + + name = "datetime" + + def __init__(self, formats: cabc.Sequence[str] | None = None): + self.formats: cabc.Sequence[str] = formats or [ + "%Y-%m-%d", + "%Y-%m-%dT%H:%M:%S", + "%Y-%m-%d %H:%M:%S", + ] + + def to_info_dict(self) -> dict[str, t.Any]: + info_dict = super().to_info_dict() + info_dict["formats"] = self.formats + return info_dict + + def get_metavar(self, param: Parameter, ctx: Context) -> str | None: + return f"[{'|'.join(self.formats)}]" + + def _try_to_convert_date(self, value: t.Any, format: str) -> datetime | None: + try: + return datetime.strptime(value, format) + except ValueError: + return None + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> t.Any: + if isinstance(value, datetime): + return value + + for format in self.formats: + converted = self._try_to_convert_date(value, format) + + if converted is not None: + return converted + + formats_str = ", ".join(map(repr, self.formats)) + self.fail( + ngettext( + "{value!r} does not match the format {format}.", + "{value!r} does not match the formats {formats}.", + len(self.formats), + ).format(value=value, format=formats_str, formats=formats_str), + param, + ctx, + ) + + def __repr__(self) -> str: + return "DateTime" + + +class _NumberParamTypeBase(ParamType): + _number_class: t.ClassVar[type[t.Any]] + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> t.Any: + try: + return self._number_class(value) + except ValueError: + self.fail( + _("{value!r} is not a valid {number_type}.").format( + value=value, number_type=self.name + ), + param, + ctx, + ) + + +class _NumberRangeBase(_NumberParamTypeBase): + def __init__( + self, + min: float | None = None, + max: float | None = None, + min_open: bool = False, + max_open: bool = False, + clamp: bool = False, + ) -> None: + self.min = min + self.max = max + self.min_open = min_open + self.max_open = max_open + self.clamp = clamp + + def to_info_dict(self) -> dict[str, t.Any]: + info_dict = super().to_info_dict() + info_dict.update( + min=self.min, + max=self.max, + min_open=self.min_open, + max_open=self.max_open, + clamp=self.clamp, + ) + return info_dict + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> t.Any: + import operator + + rv = super().convert(value, param, ctx) + lt_min: bool = self.min is not None and ( + operator.le if self.min_open else operator.lt + )(rv, self.min) + gt_max: bool = self.max is not None and ( + operator.ge if self.max_open else operator.gt + )(rv, self.max) + + if self.clamp: + if lt_min: + return self._clamp(self.min, 1, self.min_open) # type: ignore + + if gt_max: + return self._clamp(self.max, -1, self.max_open) # type: ignore + + if lt_min or gt_max: + self.fail( + _("{value} is not in the range {range}.").format( + value=rv, range=self._describe_range() + ), + param, + ctx, + ) + + return rv + + def _clamp(self, bound: float, dir: t.Literal[1, -1], open: bool) -> float: + """Find the valid value to clamp to bound in the given + direction. + + :param bound: The boundary value. + :param dir: 1 or -1 indicating the direction to move. + :param open: If true, the range does not include the bound. + """ + raise NotImplementedError + + def _describe_range(self) -> str: + """Describe the range for use in help text.""" + if self.min is None: + op = "<" if self.max_open else "<=" + return f"x{op}{self.max}" + + if self.max is None: + op = ">" if self.min_open else ">=" + return f"x{op}{self.min}" + + lop = "<" if self.min_open else "<=" + rop = "<" if self.max_open else "<=" + return f"{self.min}{lop}x{rop}{self.max}" + + def __repr__(self) -> str: + clamp = " clamped" if self.clamp else "" + return f"<{type(self).__name__} {self._describe_range()}{clamp}>" + + +class IntParamType(_NumberParamTypeBase): + name = "integer" + _number_class = int + + def __repr__(self) -> str: + return "INT" + + +class IntRange(_NumberRangeBase, IntParamType): + """Restrict an :data:`click.INT` value to a range of accepted + values. See :ref:`ranges`. + + If ``min`` or ``max`` are not passed, any value is accepted in that + direction. If ``min_open`` or ``max_open`` are enabled, the + corresponding boundary is not included in the range. + + If ``clamp`` is enabled, a value outside the range is clamped to the + boundary instead of failing. + + .. versionchanged:: 8.0 + Added the ``min_open`` and ``max_open`` parameters. + """ + + name = "integer range" + + def _clamp( # type: ignore + self, bound: int, dir: t.Literal[1, -1], open: bool + ) -> int: + if not open: + return bound + + return bound + dir + + +class FloatParamType(_NumberParamTypeBase): + name = "float" + _number_class = float + + def __repr__(self) -> str: + return "FLOAT" + + +class FloatRange(_NumberRangeBase, FloatParamType): + """Restrict a :data:`click.FLOAT` value to a range of accepted + values. See :ref:`ranges`. + + If ``min`` or ``max`` are not passed, any value is accepted in that + direction. If ``min_open`` or ``max_open`` are enabled, the + corresponding boundary is not included in the range. + + If ``clamp`` is enabled, a value outside the range is clamped to the + boundary instead of failing. This is not supported if either + boundary is marked ``open``. + + .. versionchanged:: 8.0 + Added the ``min_open`` and ``max_open`` parameters. + """ + + name = "float range" + + def __init__( + self, + min: float | None = None, + max: float | None = None, + min_open: bool = False, + max_open: bool = False, + clamp: bool = False, + ) -> None: + super().__init__( + min=min, max=max, min_open=min_open, max_open=max_open, clamp=clamp + ) + + if (min_open or max_open) and clamp: + raise TypeError("Clamping is not supported for open bounds.") + + def _clamp(self, bound: float, dir: t.Literal[1, -1], open: bool) -> float: + if not open: + return bound + + # Could use math.nextafter here, but clamping an + # open float range doesn't seem to be particularly useful. It's + # left up to the user to write a callback to do it if needed. + raise RuntimeError("Clamping is not supported for open bounds.") + + +class BoolParamType(ParamType): + name = "boolean" + + bool_states: dict[str, bool] = { + "1": True, + "0": False, + "yes": True, + "no": False, + "true": True, + "false": False, + "on": True, + "off": False, + "t": True, + "f": False, + "y": True, + "n": False, + # Absence of value is considered False. + "": False, + } + """A mapping of string values to boolean states. + + Mapping is inspired by :py:attr:`configparser.ConfigParser.BOOLEAN_STATES` + and extends it. + + .. caution:: + String values are lower-cased, as the ``str_to_bool`` comparison function + below is case-insensitive. + + .. warning:: + The mapping is not exhaustive, and does not cover all possible boolean strings + representations. It will remains as it is to avoid endless bikeshedding. + + Future work my be considered to make this mapping user-configurable from public + API. + """ + + @staticmethod + def str_to_bool(value: str | bool) -> bool | None: + """Convert a string to a boolean value. + + If the value is already a boolean, it is returned as-is. If the value is a + string, it is stripped of whitespaces and lower-cased, then checked against + the known boolean states pre-defined in the `BoolParamType.bool_states` mapping + above. + + Returns `None` if the value does not match any known boolean state. + """ + if isinstance(value, bool): + return value + return BoolParamType.bool_states.get(value.strip().lower()) + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> bool: + normalized = self.str_to_bool(value) + if normalized is None: + self.fail( + _( + "{value!r} is not a valid boolean. Recognized values: {states}" + ).format(value=value, states=", ".join(sorted(self.bool_states))), + param, + ctx, + ) + return normalized + + def __repr__(self) -> str: + return "BOOL" + + +class UUIDParameterType(ParamType): + name = "uuid" + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> t.Any: + import uuid + + if isinstance(value, uuid.UUID): + return value + + value = value.strip() + + try: + return uuid.UUID(value) + except ValueError: + self.fail( + _("{value!r} is not a valid UUID.").format(value=value), param, ctx + ) + + def __repr__(self) -> str: + return "UUID" + + +class File(ParamType): + """Declares a parameter to be a file for reading or writing. The file + is automatically closed once the context tears down (after the command + finished working). + + Files can be opened for reading or writing. The special value ``-`` + indicates stdin or stdout depending on the mode. + + By default, the file is opened for reading text data, but it can also be + opened in binary mode or for writing. The encoding parameter can be used + to force a specific encoding. + + The `lazy` flag controls if the file should be opened immediately or upon + first IO. The default is to be non-lazy for standard input and output + streams as well as files opened for reading, `lazy` otherwise. When opening a + file lazily for reading, it is still opened temporarily for validation, but + will not be held open until first IO. lazy is mainly useful when opening + for writing to avoid creating the file until it is needed. + + Files can also be opened atomically in which case all writes go into a + separate file in the same folder and upon completion the file will + be moved over to the original location. This is useful if a file + regularly read by other users is modified. + + See :ref:`file-args` for more information. + + .. versionchanged:: 2.0 + Added the ``atomic`` parameter. + """ + + name = "filename" + envvar_list_splitter: t.ClassVar[str] = os.path.pathsep + + def __init__( + self, + mode: str = "r", + encoding: str | None = None, + errors: str | None = "strict", + lazy: bool | None = None, + atomic: bool = False, + ) -> None: + self.mode = mode + self.encoding = encoding + self.errors = errors + self.lazy = lazy + self.atomic = atomic + + def to_info_dict(self) -> dict[str, t.Any]: + info_dict = super().to_info_dict() + info_dict.update(mode=self.mode, encoding=self.encoding) + return info_dict + + def resolve_lazy_flag(self, value: str | os.PathLike[str]) -> bool: + if self.lazy is not None: + return self.lazy + if os.fspath(value) == "-": + return False + elif "w" in self.mode: + return True + return False + + def convert( + self, + value: str | os.PathLike[str] | t.IO[t.Any], + param: Parameter | None, + ctx: Context | None, + ) -> t.IO[t.Any]: + if _is_file_like(value): + return value + + value = t.cast("str | os.PathLike[str]", value) + + try: + lazy = self.resolve_lazy_flag(value) + + if lazy: + lf = LazyFile( + value, self.mode, self.encoding, self.errors, atomic=self.atomic + ) + + if ctx is not None: + ctx.call_on_close(lf.close_intelligently) + + return t.cast("t.IO[t.Any]", lf) + + f, should_close = open_stream( + value, self.mode, self.encoding, self.errors, atomic=self.atomic + ) + + # If a context is provided, we automatically close the file + # at the end of the context execution (or flush out). If a + # context does not exist, it's the caller's responsibility to + # properly close the file. This for instance happens when the + # type is used with prompts. + if ctx is not None: + if should_close: + ctx.call_on_close(safecall(f.close)) + else: + ctx.call_on_close(safecall(f.flush)) + + return f + except OSError as e: + self.fail(f"'{format_filename(value)}': {e.strerror}", param, ctx) + + def shell_complete( + self, ctx: Context, param: Parameter, incomplete: str + ) -> list[CompletionItem]: + """Return a special completion marker that tells the completion + system to use the shell to provide file path completions. + + :param ctx: Invocation context for this command. + :param param: The parameter that is requesting completion. + :param incomplete: Value being completed. May be empty. + + .. versionadded:: 8.0 + """ + from click.shell_completion import CompletionItem + + return [CompletionItem(incomplete, type="file")] + + +def _is_file_like(value: t.Any) -> te.TypeGuard[t.IO[t.Any]]: + return hasattr(value, "read") or hasattr(value, "write") + + +class Path(ParamType): + """The ``Path`` type is similar to the :class:`File` type, but + returns the filename instead of an open file. Various checks can be + enabled to validate the type of file and permissions. + + :param exists: The file or directory needs to exist for the value to + be valid. If this is not set to ``True``, and the file does not + exist, then all further checks are silently skipped. + :param file_okay: Allow a file as a value. + :param dir_okay: Allow a directory as a value. + :param readable: if true, a readable check is performed. + :param writable: if true, a writable check is performed. + :param executable: if true, an executable check is performed. + :param resolve_path: Make the value absolute and resolve any + symlinks. A ``~`` is not expanded, as this is supposed to be + done by the shell only. + :param allow_dash: Allow a single dash as a value, which indicates + a standard stream (but does not open it). Use + :func:`~click.open_file` to handle opening this value. + :param path_type: Convert the incoming path value to this type. If + ``None``, keep Python's default, which is ``str``. Useful to + convert to :class:`pathlib.Path`. + + .. versionchanged:: 8.1 + Added the ``executable`` parameter. + + .. versionchanged:: 8.0 + Allow passing ``path_type=pathlib.Path``. + + .. versionchanged:: 6.0 + Added the ``allow_dash`` parameter. + """ + + envvar_list_splitter: t.ClassVar[str] = os.path.pathsep + + def __init__( + self, + exists: bool = False, + file_okay: bool = True, + dir_okay: bool = True, + writable: bool = False, + readable: bool = True, + resolve_path: bool = False, + allow_dash: bool = False, + path_type: type[t.Any] | None = None, + executable: bool = False, + ): + self.exists = exists + self.file_okay = file_okay + self.dir_okay = dir_okay + self.readable = readable + self.writable = writable + self.executable = executable + self.resolve_path = resolve_path + self.allow_dash = allow_dash + self.type = path_type + + if self.file_okay and not self.dir_okay: + self.name: str = _("file") + elif self.dir_okay and not self.file_okay: + self.name = _("directory") + else: + self.name = _("path") + + def to_info_dict(self) -> dict[str, t.Any]: + info_dict = super().to_info_dict() + info_dict.update( + exists=self.exists, + file_okay=self.file_okay, + dir_okay=self.dir_okay, + writable=self.writable, + readable=self.readable, + allow_dash=self.allow_dash, + ) + return info_dict + + def coerce_path_result( + self, value: str | os.PathLike[str] + ) -> str | bytes | os.PathLike[str]: + if self.type is not None and not isinstance(value, self.type): + if self.type is str: + return os.fsdecode(value) + elif self.type is bytes: + return os.fsencode(value) + else: + return t.cast("os.PathLike[str]", self.type(value)) + + return value + + def convert( + self, + value: str | os.PathLike[str], + param: Parameter | None, + ctx: Context | None, + ) -> str | bytes | os.PathLike[str]: + rv = value + + is_dash = self.file_okay and self.allow_dash and rv in (b"-", "-") + + if not is_dash: + if self.resolve_path: + rv = os.path.realpath(rv) + + try: + st = os.stat(rv) + except OSError: + if not self.exists: + return self.coerce_path_result(rv) + self.fail( + _("{name} {filename!r} does not exist.").format( + name=self.name.title(), filename=format_filename(value) + ), + param, + ctx, + ) + + if not self.file_okay and stat.S_ISREG(st.st_mode): + self.fail( + _("{name} {filename!r} is a file.").format( + name=self.name.title(), filename=format_filename(value) + ), + param, + ctx, + ) + if not self.dir_okay and stat.S_ISDIR(st.st_mode): + self.fail( + _("{name} {filename!r} is a directory.").format( + name=self.name.title(), filename=format_filename(value) + ), + param, + ctx, + ) + + if self.readable and not os.access(rv, os.R_OK): + self.fail( + _("{name} {filename!r} is not readable.").format( + name=self.name.title(), filename=format_filename(value) + ), + param, + ctx, + ) + + if self.writable and not os.access(rv, os.W_OK): + self.fail( + _("{name} {filename!r} is not writable.").format( + name=self.name.title(), filename=format_filename(value) + ), + param, + ctx, + ) + + if self.executable and not os.access(value, os.X_OK): + self.fail( + _("{name} {filename!r} is not executable.").format( + name=self.name.title(), filename=format_filename(value) + ), + param, + ctx, + ) + + return self.coerce_path_result(rv) + + def shell_complete( + self, ctx: Context, param: Parameter, incomplete: str + ) -> list[CompletionItem]: + """Return a special completion marker that tells the completion + system to use the shell to provide path completions for only + directories or any paths. + + :param ctx: Invocation context for this command. + :param param: The parameter that is requesting completion. + :param incomplete: Value being completed. May be empty. + + .. versionadded:: 8.0 + """ + from click.shell_completion import CompletionItem + + type = "dir" if self.dir_okay and not self.file_okay else "file" + return [CompletionItem(incomplete, type=type)] + + +class Tuple(CompositeParamType): + """The default behavior of Click is to apply a type on a value directly. + This works well in most cases, except for when `nargs` is set to a fixed + count and different types should be used for different items. In this + case the :class:`Tuple` type can be used. This type can only be used + if `nargs` is set to a fixed number. + + For more information see :ref:`tuple-type`. + + This can be selected by using a Python tuple literal as a type. + + :param types: a list of types that should be used for the tuple items. + """ + + def __init__(self, types: cabc.Sequence[type[t.Any] | ParamType]) -> None: + self.types: cabc.Sequence[ParamType] = [convert_type(ty) for ty in types] + + def to_info_dict(self) -> dict[str, t.Any]: + info_dict = super().to_info_dict() + info_dict["types"] = [t.to_info_dict() for t in self.types] + return info_dict + + @property + def name(self) -> str: # type: ignore + return f"<{' '.join(ty.name for ty in self.types)}>" + + @property + def arity(self) -> int: # type: ignore + return len(self.types) + + def convert( + self, value: t.Any, param: Parameter | None, ctx: Context | None + ) -> t.Any: + len_type = len(self.types) + len_value = len(value) + + if len_value != len_type: + self.fail( + ngettext( + "{len_type} values are required, but {len_value} was given.", + "{len_type} values are required, but {len_value} were given.", + len_value, + ).format(len_type=len_type, len_value=len_value), + param=param, + ctx=ctx, + ) + + return tuple( + ty(x, param, ctx) for ty, x in zip(self.types, value, strict=False) + ) + + +def convert_type(ty: t.Any | None, default: t.Any | None = None) -> ParamType: + """Find the most appropriate :class:`ParamType` for the given Python + type. If the type isn't provided, it can be inferred from a default + value. + """ + guessed_type = False + + if ty is None and default is not None: + if isinstance(default, (tuple, list)): + # If the default is empty, ty will remain None and will + # return STRING. + if default: + item = default[0] + + # A tuple of tuples needs to detect the inner types. + # Can't call convert recursively because that would + # incorrectly unwind the tuple to a single type. + if isinstance(item, (tuple, list)): + ty = tuple(map(type, item)) + else: + ty = type(item) + else: + ty = type(default) + + guessed_type = True + + if isinstance(ty, tuple): + return Tuple(ty) + + if isinstance(ty, ParamType): + return ty + + if ty is str or ty is None: + return STRING + + if ty is int: + return INT + + if ty is float: + return FLOAT + + if ty is bool: + return BOOL + + if guessed_type: + return STRING + + if __debug__: + try: + if issubclass(ty, ParamType): + raise AssertionError( + f"Attempted to use an uninstantiated parameter type ({ty})." + ) + except TypeError: + # ty is an instance (correct), so issubclass fails. + pass + + return FuncParamType(ty) + + +#: A dummy parameter type that just does nothing. From a user's +#: perspective this appears to just be the same as `STRING` but +#: internally no string conversion takes place if the input was bytes. +#: This is usually useful when working with file paths as they can +#: appear in bytes and unicode. +#: +#: For path related uses the :class:`Path` type is a better choice but +#: there are situations where an unprocessed type is useful which is why +#: it is is provided. +#: +#: .. versionadded:: 4.0 +UNPROCESSED = UnprocessedParamType() + +#: A unicode string parameter type which is the implicit default. This +#: can also be selected by using ``str`` as type. +STRING = StringParamType() + +#: An integer parameter. This can also be selected by using ``int`` as +#: type. +INT = IntParamType() + +#: A floating point value parameter. This can also be selected by using +#: ``float`` as type. +FLOAT = FloatParamType() + +#: A boolean parameter. This is the default for boolean flags. This can +#: also be selected by using ``bool`` as a type. +BOOL = BoolParamType() + +#: A UUID parameter. +UUID = UUIDParameterType() + + +class OptionHelpExtra(t.TypedDict, total=False): + envvars: tuple[str, ...] + default: str + range: str + required: str diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..beae26f761607f0a7a617d4ce8789bf49bb99b6b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/click/utils.py @@ -0,0 +1,627 @@ +from __future__ import annotations + +import collections.abc as cabc +import os +import re +import sys +import typing as t +from functools import update_wrapper +from types import ModuleType +from types import TracebackType + +from ._compat import _default_text_stderr +from ._compat import _default_text_stdout +from ._compat import _find_binary_writer +from ._compat import auto_wrap_for_ansi +from ._compat import binary_streams +from ._compat import open_stream +from ._compat import should_strip_ansi +from ._compat import strip_ansi +from ._compat import text_streams +from ._compat import WIN +from .globals import resolve_color_default + +if t.TYPE_CHECKING: + import typing_extensions as te + + P = te.ParamSpec("P") + +R = t.TypeVar("R") + + +def _posixify(name: str) -> str: + return "-".join(name.split()).lower() + + +def safecall(func: t.Callable[P, R]) -> t.Callable[P, R | None]: + """Wraps a function so that it swallows exceptions.""" + + def wrapper(*args: P.args, **kwargs: P.kwargs) -> R | None: + try: + return func(*args, **kwargs) + except Exception: + pass + return None + + return update_wrapper(wrapper, func) + + +def make_str(value: t.Any) -> str: + """Converts a value into a valid string.""" + if isinstance(value, bytes): + try: + return value.decode(sys.getfilesystemencoding()) + except UnicodeError: + return value.decode("utf-8", "replace") + return str(value) + + +def make_default_short_help(help: str, max_length: int = 45) -> str: + """Returns a condensed version of help string.""" + # Consider only the first paragraph. + paragraph_end = help.find("\n\n") + + if paragraph_end != -1: + help = help[:paragraph_end] + + # Collapse newlines, tabs, and spaces. + words = help.split() + + if not words: + return "" + + # The first paragraph started with a "no rewrap" marker, ignore it. + if words[0] == "\b": + words = words[1:] + + total_length = 0 + last_index = len(words) - 1 + + for i, word in enumerate(words): + total_length += len(word) + (i > 0) + + if total_length > max_length: # too long, truncate + break + + if word[-1] == ".": # sentence end, truncate without "..." + return " ".join(words[: i + 1]) + + if total_length == max_length and i != last_index: + break # not at sentence end, truncate with "..." + else: + return " ".join(words) # no truncation needed + + # Account for the length of the suffix. + total_length += len("...") + + # remove words until the length is short enough + while i > 0: + total_length -= len(words[i]) + (i > 0) + + if total_length <= max_length: + break + + i -= 1 + + return " ".join(words[:i]) + "..." + + +class LazyFile: + """A lazy file works like a regular file but it does not fully open + the file but it does perform some basic checks early to see if the + filename parameter does make sense. This is useful for safely opening + files for writing. + """ + + def __init__( + self, + filename: str | os.PathLike[str], + mode: str = "r", + encoding: str | None = None, + errors: str | None = "strict", + atomic: bool = False, + ): + self.name: str = os.fspath(filename) + self.mode = mode + self.encoding = encoding + self.errors = errors + self.atomic = atomic + self._f: t.IO[t.Any] | None + self.should_close: bool + + if self.name == "-": + self._f, self.should_close = open_stream(filename, mode, encoding, errors) + else: + if "r" in mode: + # Open and close the file in case we're opening it for + # reading so that we can catch at least some errors in + # some cases early. + open(filename, mode).close() + self._f = None + self.should_close = True + + def __getattr__(self, name: str) -> t.Any: + return getattr(self.open(), name) + + def __repr__(self) -> str: + if self._f is not None: + return repr(self._f) + return f"" + + def open(self) -> t.IO[t.Any]: + """Opens the file if it's not yet open. This call might fail with + a :exc:`FileError`. Not handling this error will produce an error + that Click shows. + """ + if self._f is not None: + return self._f + try: + rv, self.should_close = open_stream( + self.name, self.mode, self.encoding, self.errors, atomic=self.atomic + ) + except OSError as e: + from .exceptions import FileError + + raise FileError(self.name, hint=e.strerror) from e + self._f = rv + return rv + + def close(self) -> None: + """Closes the underlying file, no matter what.""" + if self._f is not None: + self._f.close() + + def close_intelligently(self) -> None: + """This function only closes the file if it was opened by the lazy + file wrapper. For instance this will never close stdin. + """ + if self.should_close: + self.close() + + def __enter__(self) -> LazyFile: + return self + + def __exit__( + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + tb: TracebackType | None, + ) -> None: + self.close_intelligently() + + def __iter__(self) -> cabc.Iterator[t.AnyStr]: + self.open() + return iter(self._f) # type: ignore + + +class KeepOpenFile: + def __init__(self, file: t.IO[t.Any]) -> None: + self._file: t.IO[t.Any] = file + + def __getattr__(self, name: str) -> t.Any: + return getattr(self._file, name) + + def __enter__(self) -> KeepOpenFile: + return self + + def __exit__( + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + tb: TracebackType | None, + ) -> None: + pass + + def __repr__(self) -> str: + return repr(self._file) + + def __iter__(self) -> cabc.Iterator[t.AnyStr]: + return iter(self._file) + + +def echo( + message: t.Any | None = None, + file: t.IO[t.Any] | None = None, + nl: bool = True, + err: bool = False, + color: bool | None = None, +) -> None: + """Print a message and newline to stdout or a file. This should be + used instead of :func:`print` because it provides better support + for different data, files, and environments. + + Compared to :func:`print`, this does the following: + + - Ensures that the output encoding is not misconfigured on Linux. + - Supports Unicode in the Windows console. + - Supports writing to binary outputs, and supports writing bytes + to text outputs. + - Supports colors and styles on Windows. + - Removes ANSI color and style codes if the output does not look + like an interactive terminal. + - Always flushes the output. + + :param message: The string or bytes to output. Other objects are + converted to strings. + :param file: The file to write to. Defaults to ``stdout``. + :param err: Write to ``stderr`` instead of ``stdout``. + :param nl: Print a newline after the message. Enabled by default. + :param color: Force showing or hiding colors and other styles. By + default Click will remove color if the output does not look like + an interactive terminal. + + .. versionchanged:: 6.0 + Support Unicode output on the Windows console. Click does not + modify ``sys.stdout``, so ``sys.stdout.write()`` and ``print()`` + will still not support Unicode. + + .. versionchanged:: 4.0 + Added the ``color`` parameter. + + .. versionadded:: 3.0 + Added the ``err`` parameter. + + .. versionchanged:: 2.0 + Support colors on Windows if colorama is installed. + """ + if file is None: + if err: + file = _default_text_stderr() + else: + file = _default_text_stdout() + + # There are no standard streams attached to write to. For example, + # pythonw on Windows. + if file is None: + return + + # Convert non bytes/text into the native string type. + if message is not None and not isinstance(message, (str, bytes, bytearray)): + out: str | bytes | bytearray | None = str(message) + else: + out = message + + if nl: + out = out or "" + if isinstance(out, str): + out += "\n" + else: + out += b"\n" + + if not out: + file.flush() + return + + # If there is a message and the value looks like bytes, we manually + # need to find the binary stream and write the message in there. + # This is done separately so that most stream types will work as you + # would expect. Eg: you can write to StringIO for other cases. + if isinstance(out, (bytes, bytearray)): + binary_file = _find_binary_writer(file) + + if binary_file is not None: + file.flush() + binary_file.write(out) + binary_file.flush() + return + + # ANSI style code support. For no message or bytes, nothing happens. + # When outputting to a file instead of a terminal, strip codes. + else: + color = resolve_color_default(color) + + if should_strip_ansi(file, color): + out = strip_ansi(out) + elif WIN: + if auto_wrap_for_ansi is not None: + file = auto_wrap_for_ansi(file, color) # type: ignore + elif not color: + out = strip_ansi(out) + + file.write(out) # type: ignore + file.flush() + + +def get_binary_stream(name: t.Literal["stdin", "stdout", "stderr"]) -> t.BinaryIO: + """Returns a system stream for byte processing. + + :param name: the name of the stream to open. Valid names are ``'stdin'``, + ``'stdout'`` and ``'stderr'`` + """ + opener = binary_streams.get(name) + if opener is None: + raise TypeError(f"Unknown standard stream '{name}'") + return opener() + + +def get_text_stream( + name: t.Literal["stdin", "stdout", "stderr"], + encoding: str | None = None, + errors: str | None = "strict", +) -> t.TextIO: + """Returns a system stream for text processing. This usually returns + a wrapped stream around a binary stream returned from + :func:`get_binary_stream` but it also can take shortcuts for already + correctly configured streams. + + :param name: the name of the stream to open. Valid names are ``'stdin'``, + ``'stdout'`` and ``'stderr'`` + :param encoding: overrides the detected default encoding. + :param errors: overrides the default error mode. + """ + opener = text_streams.get(name) + if opener is None: + raise TypeError(f"Unknown standard stream '{name}'") + return opener(encoding, errors) + + +def open_file( + filename: str | os.PathLike[str], + mode: str = "r", + encoding: str | None = None, + errors: str | None = "strict", + lazy: bool = False, + atomic: bool = False, +) -> t.IO[t.Any]: + """Open a file, with extra behavior to handle ``'-'`` to indicate + a standard stream, lazy open on write, and atomic write. Similar to + the behavior of the :class:`~click.File` param type. + + If ``'-'`` is given to open ``stdout`` or ``stdin``, the stream is + wrapped so that using it in a context manager will not close it. + This makes it possible to use the function without accidentally + closing a standard stream: + + .. code-block:: python + + with open_file(filename) as f: + ... + + :param filename: The name or Path of the file to open, or ``'-'`` for + ``stdin``/``stdout``. + :param mode: The mode in which to open the file. + :param encoding: The encoding to decode or encode a file opened in + text mode. + :param errors: The error handling mode. + :param lazy: Wait to open the file until it is accessed. For read + mode, the file is temporarily opened to raise access errors + early, then closed until it is read again. + :param atomic: Write to a temporary file and replace the given file + on close. + + .. versionadded:: 3.0 + """ + if lazy: + return t.cast( + "t.IO[t.Any]", LazyFile(filename, mode, encoding, errors, atomic=atomic) + ) + + f, should_close = open_stream(filename, mode, encoding, errors, atomic=atomic) + + if not should_close: + f = t.cast("t.IO[t.Any]", KeepOpenFile(f)) + + return f + + +def format_filename( + filename: str | bytes | os.PathLike[str] | os.PathLike[bytes], + shorten: bool = False, +) -> str: + """Format a filename as a string for display. Ensures the filename can be + displayed by replacing any invalid bytes or surrogate escapes in the name + with the replacement character ``�``. + + Invalid bytes or surrogate escapes will raise an error when written to a + stream with ``errors="strict"``. This will typically happen with ``stdout`` + when the locale is something like ``en_GB.UTF-8``. + + Many scenarios *are* safe to write surrogates though, due to PEP 538 and + PEP 540, including: + + - Writing to ``stderr``, which uses ``errors="backslashreplace"``. + - The system has ``LANG=C.UTF-8``, ``C``, or ``POSIX``. Python opens + stdout and stderr with ``errors="surrogateescape"``. + - None of ``LANG/LC_*`` are set. Python assumes ``LANG=C.UTF-8``. + - Python is started in UTF-8 mode with ``PYTHONUTF8=1`` or ``-X utf8``. + Python opens stdout and stderr with ``errors="surrogateescape"``. + + :param filename: formats a filename for UI display. This will also convert + the filename into unicode without failing. + :param shorten: this optionally shortens the filename to strip of the + path that leads up to it. + """ + if shorten: + filename = os.path.basename(filename) + else: + filename = os.fspath(filename) + + if isinstance(filename, bytes): + filename = filename.decode(sys.getfilesystemencoding(), "replace") + else: + filename = filename.encode("utf-8", "surrogateescape").decode( + "utf-8", "replace" + ) + + return filename + + +def get_app_dir(app_name: str, roaming: bool = True, force_posix: bool = False) -> str: + r"""Returns the config folder for the application. The default behavior + is to return whatever is most appropriate for the operating system. + + To give you an idea, for an app called ``"Foo Bar"``, something like + the following folders could be returned: + + Mac OS X: + ``~/Library/Application Support/Foo Bar`` + Mac OS X (POSIX): + ``~/.foo-bar`` + Unix: + ``~/.config/foo-bar`` + Unix (POSIX): + ``~/.foo-bar`` + Windows (roaming): + ``C:\Users\\AppData\Roaming\Foo Bar`` + Windows (not roaming): + ``C:\Users\\AppData\Local\Foo Bar`` + + .. versionadded:: 2.0 + + :param app_name: the application name. This should be properly capitalized + and can contain whitespace. + :param roaming: controls if the folder should be roaming or not on Windows. + Has no effect otherwise. + :param force_posix: if this is set to `True` then on any POSIX system the + folder will be stored in the home folder with a leading + dot instead of the XDG config home or darwin's + application support folder. + """ + if WIN: + key = "APPDATA" if roaming else "LOCALAPPDATA" + folder = os.environ.get(key) + if folder is None: + folder = os.path.expanduser("~") + return os.path.join(folder, app_name) + if force_posix: + return os.path.join(os.path.expanduser(f"~/.{_posixify(app_name)}")) + if sys.platform == "darwin": + return os.path.join( + os.path.expanduser("~/Library/Application Support"), app_name + ) + return os.path.join( + os.environ.get("XDG_CONFIG_HOME", os.path.expanduser("~/.config")), + _posixify(app_name), + ) + + +class PacifyFlushWrapper: + """This wrapper is used to catch and suppress BrokenPipeErrors resulting + from ``.flush()`` being called on broken pipe during the shutdown/final-GC + of the Python interpreter. Notably ``.flush()`` is always called on + ``sys.stdout`` and ``sys.stderr``. So as to have minimal impact on any + other cleanup code, and the case where the underlying file is not a broken + pipe, all calls and attributes are proxied. + """ + + def __init__(self, wrapped: t.IO[t.Any]) -> None: + self.wrapped = wrapped + + def flush(self) -> None: + try: + self.wrapped.flush() + except OSError as e: + import errno + + if e.errno != errno.EPIPE: + raise + + def __getattr__(self, attr: str) -> t.Any: + return getattr(self.wrapped, attr) + + +def _detect_program_name( + path: str | None = None, _main: ModuleType | None = None +) -> str: + """Determine the command used to run the program, for use in help + text. If a file or entry point was executed, the file name is + returned. If ``python -m`` was used to execute a module or package, + ``python -m name`` is returned. + + This doesn't try to be too precise, the goal is to give a concise + name for help text. Files are only shown as their name without the + path. ``python`` is only shown for modules, and the full path to + ``sys.executable`` is not shown. + + :param path: The Python file being executed. Python puts this in + ``sys.argv[0]``, which is used by default. + :param _main: The ``__main__`` module. This should only be passed + during internal testing. + + .. versionadded:: 8.0 + Based on command args detection in the Werkzeug reloader. + + :meta private: + """ + if _main is None: + _main = sys.modules["__main__"] + + if not path: + path = sys.argv[0] + + # The value of __package__ indicates how Python was called. It may + # not exist if a setuptools script is installed as an egg. It may be + # set incorrectly for entry points created with pip on Windows. + # It is set to "" inside a Shiv or PEX zipapp. + if getattr(_main, "__package__", None) in {None, ""} or ( + os.name == "nt" + and _main.__package__ == "" + and not os.path.exists(path) + and os.path.exists(f"{path}.exe") + ): + # Executed a file, like "python app.py". + return os.path.basename(path) + + # Executed a module, like "python -m example". + # Rewritten by Python from "-m script" to "/path/to/script.py". + # Need to look at main module to determine how it was executed. + py_module = t.cast(str, _main.__package__) + name = os.path.splitext(os.path.basename(path))[0] + + # A submodule like "example.cli". + if name != "__main__": + py_module = f"{py_module}.{name}" + + return f"python -m {py_module.lstrip('.')}" + + +def _expand_args( + args: cabc.Iterable[str], + *, + user: bool = True, + env: bool = True, + glob_recursive: bool = True, +) -> list[str]: + """Simulate Unix shell expansion with Python functions. + + See :func:`glob.glob`, :func:`os.path.expanduser`, and + :func:`os.path.expandvars`. + + This is intended for use on Windows, where the shell does not do any + expansion. It may not exactly match what a Unix shell would do. + + :param args: List of command line arguments to expand. + :param user: Expand user home directory. + :param env: Expand environment variables. + :param glob_recursive: ``**`` matches directories recursively. + + .. versionchanged:: 8.1 + Invalid glob patterns are treated as empty expansions rather + than raising an error. + + .. versionadded:: 8.0 + + :meta private: + """ + from glob import glob + + out = [] + + for arg in args: + if user: + arg = os.path.expanduser(arg) + + if env: + arg = os.path.expandvars(arg) + + try: + matches = glob(arg, recursive=glob_recursive) + except re.error: + matches = [] + + if not matches: + out.append(arg) + else: + out.extend(matches) + + return out diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/AUTHORS b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/AUTHORS new file mode 100644 index 0000000000000000000000000000000000000000..7092efd949bb407beb485f25d6c1847804a79170 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/AUTHORS @@ -0,0 +1,8 @@ +# This is the list of HuggingFace Datasets authors for copyright purposes. +# +# This does not necessarily list everyone who has contributed code, since in +# some cases, their employer may be the copyright holder. To see the full list +# of contributors, see the revision history in source control. + +Google Inc. +HuggingFace Inc. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..d645695673349e3947e8e5ae42332d0ac3164cd7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/LICENSE @@ -0,0 +1,202 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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extra == "audio" +Requires-Dist: librosa; extra == "audio" +Requires-Dist: soxr>=0.4.0; extra == "audio" +Provides-Extra: vision +Requires-Dist: Pillow>=9.4.0; extra == "vision" +Provides-Extra: tensorflow +Requires-Dist: tensorflow>=2.6.0; extra == "tensorflow" +Provides-Extra: tensorflow-gpu +Requires-Dist: tensorflow>=2.6.0; extra == "tensorflow-gpu" +Provides-Extra: torch +Requires-Dist: torch; extra == "torch" +Provides-Extra: jax +Requires-Dist: jax>=0.3.14; extra == "jax" +Requires-Dist: jaxlib>=0.3.14; extra == "jax" +Provides-Extra: s3 +Requires-Dist: s3fs; extra == "s3" +Provides-Extra: streaming +Provides-Extra: dev +Requires-Dist: absl-py; extra == "dev" +Requires-Dist: decorator; extra == "dev" +Requires-Dist: joblib<1.3.0; extra == "dev" +Requires-Dist: joblibspark; extra == "dev" +Requires-Dist: pytest; extra == "dev" +Requires-Dist: pytest-datadir; extra == "dev" +Requires-Dist: pytest-xdist; extra == "dev" +Requires-Dist: aiohttp; extra == "dev" +Requires-Dist: elasticsearch<8.0.0,>=7.17.12; 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        + + + + Hugging Face Datasets Library + +
        +
        +

        + +

        + Build + GitHub + Documentation + GitHub release + Number of datasets + Contributor Covenant + DOI +

        + +🤗 Datasets is a lightweight library providing **two** main features: + +- **one-line dataloaders for many public datasets**: one-liners to download and pre-process any of the ![number of datasets](https://img.shields.io/endpoint?url=https://huggingface.co/api/shields/datasets&color=brightgreen) major public datasets (image datasets, audio datasets, text datasets in 467 languages and dialects, etc.) provided on the [HuggingFace Datasets Hub](https://huggingface.co/datasets). With a simple command like `squad_dataset = load_dataset("rajpurkar/squad")`, get any of these datasets ready to use in a dataloader for training/evaluating a ML model (Numpy/Pandas/PyTorch/TensorFlow/JAX), +- **efficient data pre-processing**: simple, fast and reproducible data pre-processing for the public datasets as well as your own local datasets in CSV, JSON, text, PNG, JPEG, WAV, MP3, Parquet, etc. With simple commands like `processed_dataset = dataset.map(process_example)`, efficiently prepare the dataset for inspection and ML model evaluation and training. + +[🎓 **Documentation**](https://huggingface.co/docs/datasets/) [🔎 **Find a dataset in the Hub**](https://huggingface.co/datasets) [🌟 **Share a dataset on the Hub**](https://huggingface.co/docs/datasets/share) + +

        + +

        + +🤗 Datasets is designed to let the community easily add and share new datasets. + +🤗 Datasets has many additional interesting features: + +- Thrive on large datasets: 🤗 Datasets naturally frees the user from RAM memory limitation, all datasets are memory-mapped using an efficient zero-serialization cost backend (Apache Arrow). +- Smart caching: never wait for your data to process several times. +- Lightweight and fast with a transparent and pythonic API (multi-processing/caching/memory-mapping). +- Built-in interoperability with NumPy, PyTorch, TensorFlow 2, JAX, Pandas, Polars and more. +- Native support for audio, image and video data. +- Enable streaming mode to save disk space and start iterating over the dataset immediately. + +🤗 Datasets originated from a fork of the awesome [TensorFlow Datasets](https://github.com/tensorflow/datasets) and the HuggingFace team want to deeply thank the TensorFlow Datasets team for building this amazing library. + +# Installation + +## With pip + +🤗 Datasets can be installed from PyPi and has to be installed in a virtual environment (venv or conda for instance) + +```bash +pip install datasets +``` + +## With conda + +🤗 Datasets can be installed using conda as follows: + +```bash +conda install -c huggingface -c conda-forge datasets +``` + +Follow the installation pages of TensorFlow and PyTorch to see how to install them with conda. + +For more details on installation, check the installation page in the documentation: https://huggingface.co/docs/datasets/installation + +## Installation to use with Machine Learning & Data frameworks frameworks + +If you plan to use 🤗 Datasets with PyTorch (2.0+), TensorFlow (2.6+) or JAX (3.14+) you should also install PyTorch, TensorFlow or JAX. +🤗 Datasets is also well integrated with data frameworks like PyArrow, Pandas, Polars and Spark, which should be installed separately. + +For more details on using the library with these frameworks, check the quick start page in the documentation: https://huggingface.co/docs/datasets/quickstart + +# Usage + +🤗 Datasets is made to be very simple to use - the API is centered around a single function, `datasets.load_dataset(dataset_name, **kwargs)`, that instantiates a dataset. + +This library can be used for text/image/audio/etc. datasets. Here is an example to load a text dataset: + +Here is a quick example: + +```python +from datasets import load_dataset + +# Print all the available datasets +from huggingface_hub import list_datasets +print([dataset.id for dataset in list_datasets()]) + +# Load a dataset and print the first example in the training set +squad_dataset = load_dataset('rajpurkar/squad') +print(squad_dataset['train'][0]) + +# Process the dataset - add a column with the length of the context texts +dataset_with_length = squad_dataset.map(lambda x: {"length": len(x["context"])}) + +# Process the dataset - tokenize the context texts (using a tokenizer from the 🤗 Transformers library) +from transformers import AutoTokenizer +tokenizer = AutoTokenizer.from_pretrained('bert-base-cased') + +tokenized_dataset = squad_dataset.map(lambda x: tokenizer(x['context']), batched=True) +``` + +If your dataset is bigger than your disk or if you don't want to wait to download the data, you can use streaming: + +```python +# If you want to use the dataset immediately and efficiently stream the data as you iterate over the dataset +image_dataset = load_dataset('timm/imagenet-1k-wds', streaming=True) +for example in image_dataset["train"]: + break +``` + +For more details on using the library, check the quick start page in the documentation: https://huggingface.co/docs/datasets/quickstart and the specific pages on: + +- Loading a dataset: https://huggingface.co/docs/datasets/loading +- What's in a Dataset: https://huggingface.co/docs/datasets/access +- Processing data with 🤗 Datasets: https://huggingface.co/docs/datasets/process + - Processing audio data: https://huggingface.co/docs/datasets/audio_process + - Processing image data: https://huggingface.co/docs/datasets/image_process + - Processing text data: https://huggingface.co/docs/datasets/nlp_process +- Streaming a dataset: https://huggingface.co/docs/datasets/stream +- etc. + +# Add a new dataset to the Hub + +We have a very detailed step-by-step guide to add a new dataset to the ![number of datasets](https://img.shields.io/endpoint?url=https://huggingface.co/api/shields/datasets&color=brightgreen) datasets already provided on the [HuggingFace Datasets Hub](https://huggingface.co/datasets). + +You can find: +- [how to upload a dataset to the Hub using your web browser or Python](https://huggingface.co/docs/datasets/upload_dataset) and also +- [how to upload it using Git](https://huggingface.co/docs/datasets/share). + +# Disclaimers + +You can use 🤗 Datasets to load datasets based on Python code defined by the dataset authors to parse certain data formats or structures. For security reasons, this feature is disabled by default and requires passing `trust_remote_code=True`. In this case we also ask users that want to load such datasets to: +- check the dataset scripts they're going to run beforehand and +- pin the `revision` of the repositories they use. + +If you're a dataset owner and wish to update any part of it (description, citation, license, etc.), or do not want your dataset to be included in the Hugging Face Hub, please get in touch by opening a discussion or a pull request in the Community tab of the dataset page. Thanks for your contribution to the ML community! + +## BibTeX + +If you want to cite our 🤗 Datasets library, you can use our [paper](https://arxiv.org/abs/2109.02846): + +```bibtex +@inproceedings{lhoest-etal-2021-datasets, + title = "Datasets: A Community Library for Natural Language Processing", + author = "Lhoest, Quentin and + Villanova del Moral, Albert and + Jernite, Yacine and + Thakur, Abhishek and + von Platen, Patrick and + Patil, Suraj and + Chaumond, Julien and + Drame, Mariama and + Plu, Julien and + Tunstall, Lewis and + Davison, Joe and + {\v{S}}a{\v{s}}ko, Mario and + Chhablani, Gunjan and + Malik, Bhavitvya and + Brandeis, Simon and + Le Scao, Teven and + Sanh, Victor and + Xu, Canwen and + Patry, Nicolas and + McMillan-Major, Angelina and + Schmid, Philipp and + Gugger, Sylvain and + Delangue, Cl{\'e}ment and + Matussi{\`e}re, Th{\'e}o and + Debut, Lysandre and + Bekman, Stas and + Cistac, Pierric and + Goehringer, Thibault and + Mustar, Victor and + Lagunas, Fran{\c{c}}ois and + Rush, Alexander and + Wolf, Thomas", + booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations", + month = nov, + year = "2021", + address = "Online and Punta Cana, Dominican Republic", + publisher = "Association for Computational Linguistics", + url = "https://aclanthology.org/2021.emnlp-demo.21", + pages = "175--184", + abstract = "The scale, variety, and quantity of publicly-available NLP datasets has grown rapidly as researchers propose new tasks, larger models, and novel benchmarks. Datasets is a community library for contemporary NLP designed to support this ecosystem. Datasets aims to standardize end-user interfaces, versioning, and documentation, while providing a lightweight front-end that behaves similarly for small datasets as for internet-scale corpora. The design of the library incorporates a distributed, community-driven approach to adding datasets and documenting usage. After a year of development, the library now includes more than 650 unique datasets, has more than 250 contributors, and has helped support a variety of novel cross-dataset research projects and shared tasks. The library is available at https://github.com/huggingface/datasets.", + eprint={2109.02846}, + archivePrefix={arXiv}, + primaryClass={cs.CL}, +} +``` + +If you need to cite a specific version of our 🤗 Datasets library for reproducibility, you can use the corresponding version Zenodo DOI from this [list](https://zenodo.org/search?q=conceptrecid:%224817768%22&sort=-version&all_versions=True). diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..4786a729c6349241a99cfbeb5b48184c07651531 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/RECORD @@ -0,0 +1,257 @@ +../../../bin/datasets-cli,sha256=ODT3VK6PPOaG6bt2dXcDK1eDj3xXCyzy1k3yLCds17w,251 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+Root-Is-Purelib: true +Tag: py3-none-any + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/entry_points.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/entry_points.txt new file mode 100644 index 0000000000000000000000000000000000000000..a93c17922e3b5496fe8e1a43f3defa58727f5220 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/entry_points.txt @@ -0,0 +1,2 @@ +[console_scripts] +datasets-cli = datasets.commands.datasets_cli:main diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/top_level.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..aee11b288aa3e6803c53bde002f7594c44497f5b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets-3.6.0.dist-info/top_level.txt @@ -0,0 +1 @@ +datasets diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..18b38d485e5412ea6bd294ea1bf090b3e1291967 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/__init__.py @@ -0,0 +1,47 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +__version__ = "3.6.0" + +from .arrow_dataset import Dataset +from .arrow_reader import ReadInstruction +from .builder import ArrowBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder +from .combine import concatenate_datasets, interleave_datasets +from .dataset_dict import DatasetDict, IterableDatasetDict +from .download import * +from .features import * +from .fingerprint import disable_caching, enable_caching, is_caching_enabled +from .info import DatasetInfo +from .inspect import ( + get_dataset_config_info, + get_dataset_config_names, + get_dataset_default_config_name, + get_dataset_infos, + get_dataset_split_names, +) +from .iterable_dataset import IterableDataset +from .load import load_dataset, load_dataset_builder, load_from_disk +from .splits import ( + NamedSplit, + NamedSplitAll, + Split, + SplitBase, + SplitDict, + SplitGenerator, + SplitInfo, + SubSplitInfo, + percent, +) +from .utils import * +from .utils import logging diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/arrow_dataset.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/arrow_dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..9b4ad016692013d28852563ed77c1a29ea47da8a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/arrow_dataset.py @@ -0,0 +1,6508 @@ +# Copyright 2020 The HuggingFace Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""Simple Dataset wrapping an Arrow Table.""" + +import asyncio +import contextlib +import copy +import fnmatch +import inspect +import itertools +import json +import math +import os +import posixpath +import re +import shutil +import sys +import tempfile +import time +import warnings +import weakref +from collections import Counter +from collections.abc import Iterable, Iterator, Mapping +from collections.abc import Sequence as Sequence_ +from copy import deepcopy +from functools import partial, wraps +from io import BytesIO +from math import ceil, floor +from pathlib import Path +from random import sample +from typing import ( + TYPE_CHECKING, + Any, + BinaryIO, + Callable, + Optional, + Union, + overload, +) + +import fsspec +import numpy as np +import pandas as pd +import pyarrow as pa +import pyarrow.compute as pc +from fsspec.core import url_to_fs +from huggingface_hub import ( + CommitInfo, + CommitOperationAdd, + CommitOperationDelete, + DatasetCard, + DatasetCardData, + HfApi, +) +from huggingface_hub.hf_api import RepoFile +from multiprocess import Pool +from tqdm.contrib.concurrent import thread_map + +from . import config +from .arrow_reader import ArrowReader +from .arrow_writer import ArrowWriter, OptimizedTypedSequence +from .data_files import sanitize_patterns +from .download.streaming_download_manager import xgetsize +from .features import Audio, ClassLabel, Features, Image, Sequence, Value, Video +from .features.features import ( + FeatureType, + _align_features, + _check_if_features_can_be_aligned, + generate_from_arrow_type, + pandas_types_mapper, + require_decoding, +) +from .filesystems import is_remote_filesystem +from .fingerprint import ( + fingerprint_transform, + format_kwargs_for_fingerprint, + format_transform_for_fingerprint, + generate_fingerprint, + generate_random_fingerprint, + get_temporary_cache_files_directory, + is_caching_enabled, + maybe_register_dataset_for_temp_dir_deletion, + update_fingerprint, + validate_fingerprint, +) +from .formatting import format_table, get_format_type_from_alias, get_formatter, query_table +from .formatting.formatting import LazyDict, _is_range_contiguous +from .info import DatasetInfo, DatasetInfosDict +from .naming import _split_re +from .search import IndexableMixin +from .splits import NamedSplit, Split, SplitDict, SplitInfo +from .table import ( + InMemoryTable, + MemoryMappedTable, + Table, + _memory_mapped_record_batch_reader_from_file, + cast_array_to_feature, + concat_tables, + embed_table_storage, + list_table_cache_files, + table_cast, + table_iter, + table_visitor, +) +from .utils import logging +from .utils import tqdm as hf_tqdm +from .utils.file_utils import estimate_dataset_size +from .utils.info_utils import is_small_dataset +from .utils.metadata import MetadataConfigs +from .utils.py_utils import ( + Literal, + asdict, + convert_file_size_to_int, + glob_pattern_to_regex, + iflatmap_unordered, + string_to_dict, +) +from .utils.stratify import stratified_shuffle_split_generate_indices +from .utils.tf_utils import dataset_to_tf, minimal_tf_collate_fn, multiprocess_dataset_to_tf +from .utils.typing import ListLike, PathLike + + +if TYPE_CHECKING: + import sqlite3 + + import polars as pl + import pyspark + import sqlalchemy + + from .dataset_dict import DatasetDict + from .iterable_dataset import IterableDataset + +logger = logging.get_logger(__name__) + +PUSH_TO_HUB_WITHOUT_METADATA_CONFIGS_SPLIT_PATTERN_SHARDED = ( + "data/{split}-[0-9][0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]*.parquet" +) + + +class DatasetInfoMixin: + """This base class exposes some attributes of DatasetInfo + at the base level of the Dataset for easy access. + """ + + def __init__(self, info: DatasetInfo, split: Optional[NamedSplit]): + self._info = info + self._split = split + + @property + def info(self): + """[`~datasets.DatasetInfo`] object containing all the metadata in the dataset.""" + return self._info + + @property + def split(self): + """[`~datasets.NamedSplit`] object corresponding to a named dataset split.""" + return self._split + + @property + def builder_name(self) -> str: + return self._info.builder_name + + @property + def citation(self) -> str: + return self._info.citation + + @property + def config_name(self) -> str: + return self._info.config_name + + @property + def dataset_size(self) -> Optional[int]: + return self._info.dataset_size + + @property + def description(self) -> str: + return self._info.description + + @property + def download_checksums(self) -> Optional[dict]: + return self._info.download_checksums + + @property + def download_size(self) -> Optional[int]: + return self._info.download_size + + @property + def features(self) -> Optional[Features]: + return self._info.features.copy() if self._info.features is not None else None + + @property + def homepage(self) -> Optional[str]: + return self._info.homepage + + @property + def license(self) -> Optional[str]: + return self._info.license + + @property + def size_in_bytes(self) -> Optional[int]: + return self._info.size_in_bytes + + @property + def supervised_keys(self): + return self._info.supervised_keys + + @property + def version(self): + return self._info.version + + +class TensorflowDatasetMixin: + _TF_DATASET_REFS = set() + + @staticmethod + def _get_output_signature( + dataset: "Dataset", + collate_fn: Callable, + collate_fn_args: dict, + cols_to_retain: Optional[list[str]] = None, + batch_size: Optional[int] = None, + num_test_batches: int = 20, + ): + """Private method used by `to_tf_dataset()` to find the shapes and dtypes of samples from this dataset + after being passed through the collate_fn. Tensorflow needs an exact signature for tf.numpy_function, so + the only way to do this is to run test batches - the collator may add or rename columns, so we can't figure + it out just by inspecting the dataset. + + Args: + dataset (`Dataset`): Dataset to load samples from. + collate_fn(`bool`): Shuffle the dataset order when loading. Recommended True for training, False for + validation/evaluation. + collate_fn(`Callable`): A function or callable object (such as a `DataCollator`) that will collate + lists of samples into a batch. + collate_fn_args (`Dict`): A `dict` of keyword arguments to be passed to the + `collate_fn`. + batch_size (`int`, optional): The size of batches loaded from the dataset. Used for shape inference. + Can be None, which indicates that batch sizes can be variable. + num_test_batches (`int`): The number of batches to load from the dataset for shape inference. + + Returns: + `dict`: Dict mapping column names to tf.Tensorspec objects + `dict`: Dict mapping column names to np.dtype objects + """ + if config.TF_AVAILABLE: + import tensorflow as tf + else: + raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.") + + if len(dataset) == 0: + raise ValueError("Unable to get the output signature because the dataset is empty.") + if batch_size is not None: + batch_size = min(len(dataset), batch_size) + test_batch_size = 1 + + if cols_to_retain is not None: + cols_to_retain = list(set(cols_to_retain + ["label_ids", "label", "labels"])) + + test_batches = [] + for _ in range(num_test_batches): + indices = sample(range(len(dataset)), test_batch_size) + test_batch = dataset[indices] + if cols_to_retain is not None: + test_batch = {key: value for key, value in test_batch.items() if key in cols_to_retain} + test_batch = [{key: value[i] for key, value in test_batch.items()} for i in range(test_batch_size)] + test_batch = collate_fn(test_batch, **collate_fn_args) + test_batches.append(test_batch) + + tf_columns_to_signatures = {} + np_columns_to_dtypes = {} + for column in test_batches[0].keys(): + raw_arrays = [batch[column] for batch in test_batches] + # In case the collate_fn returns something strange + np_arrays = [] + for array in raw_arrays: + if isinstance(array, np.ndarray): + np_arrays.append(array) + elif isinstance(array, tf.Tensor): + np_arrays.append(array.numpy()) + else: + np_arrays.append(np.array(array)) + + if np.issubdtype(np_arrays[0].dtype, np.integer) or np_arrays[0].dtype == bool: + tf_dtype = tf.int64 + np_dtype = np.int64 + elif np.issubdtype(np_arrays[0].dtype, np.number): + tf_dtype = tf.float32 + np_dtype = np.float32 + elif np_arrays[0].dtype.kind == "U": # Unicode strings + np_dtype = np.str_ + tf_dtype = tf.string + else: + raise RuntimeError( + f"Unrecognized array dtype {np_arrays[0].dtype}. \n" + "Nested types and image/audio types are not supported yet." + ) + shapes = [array.shape for array in np_arrays] + static_shape = [] + for dim in range(len(shapes[0])): + sizes = {shape[dim] for shape in shapes} + if dim == 0: + static_shape.append(batch_size) + continue + if len(sizes) == 1: # This dimension looks constant + static_shape.append(sizes.pop()) + else: # Use None for variable dimensions + static_shape.append(None) + tf_columns_to_signatures[column] = tf.TensorSpec(shape=static_shape, dtype=tf_dtype) + np_columns_to_dtypes[column] = np_dtype + + return tf_columns_to_signatures, np_columns_to_dtypes + + def to_tf_dataset( + self, + batch_size: Optional[int] = None, + columns: Optional[Union[str, list[str]]] = None, + shuffle: bool = False, + collate_fn: Optional[Callable] = None, + drop_remainder: bool = False, + collate_fn_args: Optional[dict[str, Any]] = None, + label_cols: Optional[Union[str, list[str]]] = None, + prefetch: bool = True, + num_workers: int = 0, + num_test_batches: int = 20, + ): + """Create a `tf.data.Dataset` from the underlying Dataset. This `tf.data.Dataset` will load and collate batches from + the Dataset, and is suitable for passing to methods like `model.fit()` or `model.predict()`. The dataset will yield + `dicts` for both inputs and labels unless the `dict` would contain only a single key, in which case a raw + `tf.Tensor` is yielded instead. + + Args: + batch_size (`int`, *optional*): + Size of batches to load from the dataset. Defaults to `None`, which implies that the dataset won't be + batched, but the returned dataset can be batched later with `tf_dataset.batch(batch_size)`. + columns (`List[str]` or `str`, *optional*): + Dataset column(s) to load in the `tf.data.Dataset`. + Column names that are created by the `collate_fn` and that do not exist in the original dataset can be used. + shuffle(`bool`, defaults to `False`): + Shuffle the dataset order when loading. Recommended `True` for training, `False` for + validation/evaluation. + drop_remainder(`bool`, defaults to `False`): + Drop the last incomplete batch when loading. Ensures + that all batches yielded by the dataset will have the same length on the batch dimension. + collate_fn(`Callable`, *optional*): + A function or callable object (such as a `DataCollator`) that will collate + lists of samples into a batch. + collate_fn_args (`Dict`, *optional*): + An optional `dict` of keyword arguments to be passed to the + `collate_fn`. + label_cols (`List[str]` or `str`, defaults to `None`): + Dataset column(s) to load as labels. + Note that many models compute loss internally rather than letting Keras do it, in which case + passing the labels here is optional, as long as they're in the input `columns`. + prefetch (`bool`, defaults to `True`): + Whether to run the dataloader in a separate thread and maintain + a small buffer of batches for training. Improves performance by allowing data to be loaded in the + background while the model is training. + num_workers (`int`, defaults to `0`): + Number of workers to use for loading the dataset. + num_test_batches (`int`, defaults to `20`): + Number of batches to use to infer the output signature of the dataset. + The higher this number, the more accurate the signature will be, but the longer it will take to + create the dataset. + + Returns: + `tf.data.Dataset` + + Example: + + ```py + >>> ds_train = ds["train"].to_tf_dataset( + ... columns=['input_ids', 'token_type_ids', 'attention_mask', 'label'], + ... shuffle=True, + ... batch_size=16, + ... collate_fn=data_collator, + ... ) + ``` + """ + if config.TF_AVAILABLE: + import tensorflow as tf + else: + raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.") + + if (isinstance(columns, list) and len(columns) == 1) or ( + isinstance(label_cols, list) and len(label_cols) == 1 + ): + warnings.warn( + "The output of `to_tf_dataset` will change when a passing single element list for `labels` or " + "`columns` in the next datasets version. To return a tuple structure rather than dict, pass a " + "single string.\n" + "Old behaviour: columns=['a'], labels=['labels'] -> (tf.Tensor, tf.Tensor) \n" + " : columns='a', labels='labels' -> (tf.Tensor, tf.Tensor) \n" + "New behaviour: columns=['a'],labels=['labels'] -> ({'a': tf.Tensor}, {'labels': tf.Tensor}) \n" + " : columns='a', labels='labels' -> (tf.Tensor, tf.Tensor) ", + FutureWarning, + ) + + if isinstance(tf.distribute.get_strategy(), tf.distribute.TPUStrategy): + logger.warning( + "Note that to_tf_dataset() loads the data with a generator rather than a full tf.data " + "pipeline and is not compatible with remote TPU connections. If you encounter errors, please " + "try using a TPU VM or, if your data can fit in memory, loading it into memory as a dict of " + "Tensors instead of streaming with to_tf_dataset()." + ) + + if collate_fn is None: + # Set a very simple default collator that just stacks things together + collate_fn = minimal_tf_collate_fn + if collate_fn_args is None: + collate_fn_args = {} + if label_cols and not columns: + raise ValueError("Cannot specify label_cols without specifying columns!") + if label_cols is None: + label_cols = [] + elif isinstance(label_cols, str): + label_cols = [label_cols] + if len(set(label_cols)) < len(label_cols): + raise ValueError("List of label_cols contains duplicates.") + if columns: + if isinstance(columns, str): + columns = [columns] + if len(set(columns)) < len(columns): + raise ValueError("List of columns contains duplicates.") + cols_to_retain = list(set(columns + label_cols)) + else: + cols_to_retain = None # Indicates keeping all valid columns + columns = [] + + if self.format["type"] not in ["custom", "numpy"]: + dataset = self.with_format("numpy") + else: + dataset = self + + # TODO(Matt, QL): deprecate the retention of label_ids and label + + output_signature, columns_to_np_types = dataset._get_output_signature( + dataset, + collate_fn=collate_fn, + collate_fn_args=collate_fn_args, + cols_to_retain=cols_to_retain, + batch_size=batch_size if drop_remainder else None, + num_test_batches=num_test_batches, + ) + + if "labels" in output_signature: + if ("label_ids" in columns or "label" in columns) and "labels" not in columns: + columns = [col for col in columns if col not in ["label_ids", "label"]] + ["labels"] + if ("label_ids" in label_cols or "label" in label_cols) and "labels" not in label_cols: + label_cols = [col for col in label_cols if col not in ["label_ids", "label"]] + ["labels"] + + for col in columns: + if col not in output_signature: + raise ValueError(f"Column {col} not found in dataset!") + + for col in label_cols: + if col not in output_signature: + raise ValueError(f"Label column {col} not found in dataset!") + + if num_workers == 0: + tf_dataset = dataset_to_tf( + dataset=dataset, + cols_to_retain=cols_to_retain, + collate_fn=collate_fn, + collate_fn_args=collate_fn_args, + columns_to_np_types=columns_to_np_types, + output_signature=output_signature, + shuffle=shuffle, + batch_size=batch_size, + drop_remainder=drop_remainder, + ) + elif num_workers > 0: + if batch_size is None: + raise NotImplementedError( + "`batch_size` must be specified when using multiple workers, as unbatched multiprocessing " + "is not supported yet. Please provide a `batch_size` if `num_workers` is greater than 0." + ) + tf_dataset = multiprocess_dataset_to_tf( + dataset=dataset, + cols_to_retain=cols_to_retain, + collate_fn=collate_fn, + collate_fn_args=collate_fn_args, + columns_to_np_types=columns_to_np_types, + output_signature=output_signature, + shuffle=shuffle, + batch_size=batch_size, + drop_remainder=drop_remainder, + num_workers=num_workers, + ) + else: + raise ValueError("num_workers must be >= 0") + + def split_features_and_labels(input_batch): + # TODO(Matt, QL): deprecate returning the dict content when there's only one key + features = {key: tensor for key, tensor in input_batch.items() if key in columns} + labels = {key: tensor for key, tensor in input_batch.items() if key in label_cols} + if len(features) == 1: + features = list(features.values())[0] + if len(labels) == 1: + labels = list(labels.values())[0] + if isinstance(labels, dict) and len(labels) == 0: + return features + else: + return features, labels + + if cols_to_retain is not None: + tf_dataset = tf_dataset.map(split_features_and_labels) + + if prefetch: + tf_dataset = tf_dataset.prefetch(tf.data.experimental.AUTOTUNE) + + # Remove a reference to the open Arrow file on delete + def cleanup_callback(ref): + dataset.__del__() + self._TF_DATASET_REFS.remove(ref) + + self._TF_DATASET_REFS.add(weakref.ref(tf_dataset, cleanup_callback)) + + return tf_dataset + + +class DatasetTransformationNotAllowedError(Exception): + pass + + +def transmit_format(func): + """Wrapper for dataset transforms that recreate a new Dataset to transmit the format of the original dataset to the new dataset""" + + @wraps(func) + def wrapper(*args, **kwargs): + if args: + self: "Dataset" = args[0] + args = args[1:] + else: + self: "Dataset" = kwargs.pop("self") + # don't use self.format since it returns a list of columns for 'columns' even if self_format_columns is None + unformatted_columns = set(self.column_names) - set(self._format_columns or []) + self_format = { + "type": self._format_type, + "format_kwargs": self._format_kwargs, + "columns": self._format_columns, + "output_all_columns": self._output_all_columns, + } + # apply actual function + out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs) + datasets: list["Dataset"] = list(out.values()) if isinstance(out, dict) else [out] + # re-apply format to the output + for dataset in datasets: + new_format = self_format.copy() + if new_format["columns"] is not None: # new formatted columns = (columns - previously unformatted columns) + # sort the columns to have a deterministic list of columns that we can compare with `out_format` + new_format["columns"] = sorted(set(dataset.column_names) - unformatted_columns) + out_format = { + "type": dataset._format_type, + "format_kwargs": dataset._format_kwargs, + "columns": sorted(dataset._format_columns) if dataset._format_columns is not None else None, + "output_all_columns": dataset._output_all_columns, + } + if out_format != new_format: + fingerprint = dataset._fingerprint + dataset.set_format(**new_format) + dataset._fingerprint = fingerprint + return out + + wrapper._decorator_name_ = "transmit_format" + return wrapper + + +def update_metadata_with_features(table: Table, features: Features): + """To be used in dataset transforms that modify the features of the dataset, in order to update the features stored in the metadata of its schema.""" + features = Features({col_name: features[col_name] for col_name in table.column_names}) + if table.schema.metadata is None or b"huggingface" not in table.schema.metadata: + pa_metadata = ArrowWriter._build_metadata(DatasetInfo(features=features)) + else: + metadata = json.loads(table.schema.metadata[b"huggingface"].decode()) + if "info" not in metadata: + metadata["info"] = asdict(DatasetInfo(features=features)) + else: + metadata["info"]["features"] = asdict(DatasetInfo(features=features))["features"] + pa_metadata = {"huggingface": json.dumps(metadata)} + table = table.replace_schema_metadata(pa_metadata) + return table + + +def _check_table(table) -> Table: + """We check the table type to make sure it's an instance of :class:`datasets.table.Table`""" + if isinstance(table, pa.Table): + # for a pyarrow table, we can just consider it as a in-memory table + # this is here for backward compatibility + return InMemoryTable(table) + elif isinstance(table, Table): + return table + else: + raise TypeError(f"Expected a pyarrow.Table or a datasets.table.Table object, but got {table}.") + + +def _check_column_names(column_names: list[str]): + """Check the column names to make sure they don't contain duplicates.""" + counter = Counter(column_names) + if not all(count == 1 for count in counter.values()): + duplicated_columns = [col for col in counter if counter[col] > 1] + raise ValueError(f"The table can't have duplicated columns but columns {duplicated_columns} are duplicated.") + + +def _check_valid_indices_value(index, size): + if (index < 0 and index + size < 0) or (index >= size): + raise IndexError(f"Index {index} out of range for dataset of size {size}.") + + +class NonExistentDatasetError(Exception): + """Used when we expect the existence of a dataset""" + + pass + + +class Dataset(DatasetInfoMixin, IndexableMixin, TensorflowDatasetMixin): + """A Dataset backed by an Arrow table.""" + + def __init__( + self, + arrow_table: Table, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + indices_table: Optional[Table] = None, + fingerprint: Optional[str] = None, + ): + info = info.copy() if info is not None else DatasetInfo() + DatasetInfoMixin.__init__(self, info=info, split=split) + IndexableMixin.__init__(self) + + self._data: Table = _check_table(arrow_table) + self._indices: Optional[Table] = _check_table(indices_table) if indices_table is not None else None + maybe_register_dataset_for_temp_dir_deletion(self) + + self._format_type: Optional[str] = None + self._format_kwargs: dict = {} + self._format_columns: Optional[list] = None + self._output_all_columns: bool = False + self._fingerprint: str = fingerprint + + # Read metadata + + if self._data.schema.metadata is not None and b"huggingface" in self._data.schema.metadata: + metadata = json.loads(self._data.schema.metadata[b"huggingface"].decode()) + if ( + "fingerprint" in metadata and self._fingerprint is None + ): # try to load fingerprint from the arrow file metadata + self._fingerprint = metadata["fingerprint"] + + # Infer features if None + inferred_features = Features.from_arrow_schema(arrow_table.schema) + if self.info.features is None: + self.info.features = inferred_features + else: # make sure the nested columns are in the right order + try: + self.info.features = self.info.features.reorder_fields_as(inferred_features) + except ValueError as e: + raise ValueError( + f"{e}\nThe 'source' features come from dataset_info.json, and the 'target' ones are those of the dataset arrow file." + ) + + # In case there are types like pa.dictionary that we need to convert to the underlying type + + if self.data.schema != self.info.features.arrow_schema: + self._data = self.data.cast(self.info.features.arrow_schema) + + # Infer fingerprint if None + + if self._fingerprint is None: + self._fingerprint = generate_fingerprint(self) + + # Sanity checks + + if self._info.features is None: + raise ValueError("Features can't be None in a Dataset object") + if self._fingerprint is None: + raise ValueError("Fingerprint can't be None in a Dataset object") + if self.info.features.type != inferred_features.type: + raise ValueError( + f"External features info don't match the dataset:\nGot\n{self.info.features}\nwith type\n{self.info.features.type}\n\nbut expected something like\n{inferred_features}\nwith type\n{inferred_features.type}" + ) + + if self._indices is not None: + if not pa.types.is_unsigned_integer(self._indices.column(0).type): + raise ValueError( + f"indices must be an Arrow table of unsigned integers, current type is {self._indices.column(0).type}" + ) + _check_column_names(self._data.column_names) + + self._data = update_metadata_with_features(self._data, self._info.features) + + @property + def features(self) -> Features: + features = super().features + if features is None: # this is already checked in __init__ + raise ValueError("Features can't be None in a Dataset object") + return features + + @classmethod + def from_file( + cls, + filename: str, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + indices_filename: Optional[str] = None, + in_memory: bool = False, + ) -> "Dataset": + """Instantiate a Dataset backed by an Arrow table at filename. + + Args: + filename (`str`): + File name of the dataset. + info (`DatasetInfo`, *optional*): + Dataset information, like description, citation, etc. + split (`NamedSplit`, *optional*): + Name of the dataset split. + indices_filename (`str`, *optional*): + File names of the indices. + in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + + Returns: + [`Dataset`] + """ + table = ArrowReader.read_table(filename, in_memory=in_memory) + + if indices_filename is not None: + indices_pa_table = ArrowReader.read_table(indices_filename, in_memory=in_memory) + else: + indices_pa_table = None + + return cls( + arrow_table=table, + info=info, + split=split, + indices_table=indices_pa_table, + ) + + @classmethod + def from_buffer( + cls, + buffer: pa.Buffer, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + indices_buffer: Optional[pa.Buffer] = None, + ) -> "Dataset": + """Instantiate a Dataset backed by an Arrow buffer. + + Args: + buffer (`pyarrow.Buffer`): + Arrow buffer. + info (`DatasetInfo`, *optional*): + Dataset information, like description, citation, etc. + split (`NamedSplit`, *optional*): + Name of the dataset split. + indices_buffer (`pyarrow.Buffer`, *optional*): + Indices Arrow buffer. + + Returns: + [`Dataset`] + """ + table = InMemoryTable.from_buffer(buffer) + + if indices_buffer is not None: + indices_table = InMemoryTable.from_buffer(buffer) + else: + indices_table = None + + return cls(table, info=info, split=split, indices_table=indices_table) + + @classmethod + def from_pandas( + cls, + df: pd.DataFrame, + features: Optional[Features] = None, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + preserve_index: Optional[bool] = None, + ) -> "Dataset": + """ + Convert `pandas.DataFrame` to a `pyarrow.Table` to create a [`Dataset`]. + + The column types in the resulting Arrow Table are inferred from the dtypes of the `pandas.Series` in the + DataFrame. In the case of non-object Series, the NumPy dtype is translated to its Arrow equivalent. In the + case of `object`, we need to guess the datatype by looking at the Python objects in this Series. + + Be aware that Series of the `object` dtype don't carry enough information to always lead to a meaningful Arrow + type. In the case that we cannot infer a type, e.g. because the DataFrame is of length 0 or the Series only + contains `None/nan` objects, the type is set to `null`. This behavior can be avoided by constructing explicit + features and passing it to this function. + + Important: a dataset created with from_pandas() lives in memory + and therefore doesn't have an associated cache directory. + This may change in the future, but in the meantime if you + want to reduce memory usage you should write it back on disk + and reload using e.g. save_to_disk / load_from_disk. + + Args: + df (`pandas.DataFrame`): + Dataframe that contains the dataset. + features ([`Features`], *optional*): + Dataset features. + info (`DatasetInfo`, *optional*): + Dataset information, like description, citation, etc. + split (`NamedSplit`, *optional*): + Name of the dataset split. + preserve_index (`bool`, *optional*): + Whether to store the index as an additional column in the resulting Dataset. + The default of `None` will store the index as a column, except for `RangeIndex` which is stored as metadata only. + Use `preserve_index=True` to force it to be stored as a column. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> ds = Dataset.from_pandas(df) + ``` + """ + if info is not None and features is not None and info.features != features: + raise ValueError( + f"Features specified in `features` and `info.features` can't be different:\n{features}\n{info.features}" + ) + features = features if features is not None else info.features if info is not None else None + if info is None: + info = DatasetInfo() + info.features = features + table = InMemoryTable.from_pandas( + df=df, + preserve_index=preserve_index, + ) + if features is not None: + # more expensive cast than InMemoryTable.from_pandas(..., schema=features.arrow_schema) + # needed to support the str to Audio conversion for instance + table = table.cast(features.arrow_schema) + return cls(table, info=info, split=split) + + @classmethod + def from_polars( + cls, + df: "pl.DataFrame", + features: Optional[Features] = None, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + ) -> "Dataset": + """ + Collect the underlying arrow arrays in an Arrow Table. + + This operation is mostly zero copy. + + Data types that do copy: + * CategoricalType + + Args: + df (`polars.DataFrame`): DataFrame to convert to Arrow Table + features (`Features`, optional): Dataset features. + info (`DatasetInfo`, optional): Dataset information, like description, citation, etc. + split (`NamedSplit`, optional): Name of the dataset split. + + Examples: + ```py + >>> ds = Dataset.from_polars(df) + ``` + """ + if info is not None and features is not None and info.features != features: + raise ValueError( + f"Features specified in `features` and `info.features` can't be different:\n{features}\n{info.features}" + ) + features = features if features is not None else info.features if info is not None else None + if info is None: + info = DatasetInfo() + info.features = features + table = InMemoryTable(df.to_arrow()) + if features is not None: + # more expensive cast than InMemoryTable.from_polars(..., schema=features.arrow_schema) + # needed to support the str to Audio conversion for instance + table = table.cast(features.arrow_schema) + return cls(table, info=info, split=split) + + @classmethod + def from_dict( + cls, + mapping: dict, + features: Optional[Features] = None, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + ) -> "Dataset": + """ + Convert `dict` to a `pyarrow.Table` to create a [`Dataset`]. + + Important: a dataset created with from_dict() lives in memory + and therefore doesn't have an associated cache directory. + This may change in the future, but in the meantime if you + want to reduce memory usage you should write it back on disk + and reload using e.g. save_to_disk / load_from_disk. + + Args: + mapping (`Mapping`): + Mapping of strings to Arrays or Python lists. + features ([`Features`], *optional*): + Dataset features. + info (`DatasetInfo`, *optional*): + Dataset information, like description, citation, etc. + split (`NamedSplit`, *optional*): + Name of the dataset split. + + Returns: + [`Dataset`] + """ + if info is not None and features is not None and info.features != features: + raise ValueError( + f"Features specified in `features` and `info.features` can't be different:\n{features}\n{info.features}" + ) + features = features if features is not None else info.features if info is not None else None + arrow_typed_mapping = {} + for col, data in mapping.items(): + if isinstance(data, (pa.Array, pa.ChunkedArray)): + data = cast_array_to_feature(data, features[col]) if features is not None else data + else: + data = OptimizedTypedSequence( + features.encode_column(data, col) if features is not None else data, + type=features[col] if features is not None else None, + col=col, + ) + arrow_typed_mapping[col] = data + mapping = arrow_typed_mapping + pa_table = InMemoryTable.from_pydict(mapping=mapping) + if info is None: + info = DatasetInfo() + info.features = features + if info.features is None: + info.features = Features( + { + col: generate_from_arrow_type(data.type) + if isinstance(data, (pa.Array, pa.ChunkedArray)) + else data.get_inferred_type() + for col, data in mapping.items() + } + ) + return cls(pa_table, info=info, split=split) + + @classmethod + def from_list( + cls, + mapping: list[dict], + features: Optional[Features] = None, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + ) -> "Dataset": + """ + Convert a list of dicts to a `pyarrow.Table` to create a [`Dataset`]`. + + Note that the keys of the first entry will be used to determine the dataset columns, + regardless of what is passed to features. + + Important: a dataset created with from_list() lives in memory + and therefore doesn't have an associated cache directory. + This may change in the future, but in the meantime if you + want to reduce memory usage you should write it back on disk + and reload using e.g. save_to_disk / load_from_disk. + + Args: + mapping (`List[dict]`): A list of mappings of strings to row values. + features (`Features`, optional): Dataset features. + info (`DatasetInfo`, optional): Dataset information, like description, citation, etc. + split (`NamedSplit`, optional): Name of the dataset split. + + Returns: + [`Dataset`] + """ + # for simplicity and consistency wrt OptimizedTypedSequence we do not use InMemoryTable.from_pylist here + mapping = {k: [r.get(k) for r in mapping] for k in mapping[0]} if mapping else {} + return cls.from_dict(mapping, features, info, split) + + @staticmethod + def from_csv( + path_or_paths: Union[PathLike, list[PathLike]], + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + num_proc: Optional[int] = None, + **kwargs, + ): + """Create Dataset from CSV file(s). + + Args: + path_or_paths (`path-like` or list of `path-like`): + Path(s) of the CSV file(s). + split ([`NamedSplit`], *optional*): + Split name to be assigned to the dataset. + features ([`Features`], *optional*): + Dataset features. + cache_dir (`str`, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + num_proc (`int`, *optional*, defaults to `None`): + Number of processes when downloading and generating the dataset locally. + This is helpful if the dataset is made of multiple files. Multiprocessing is disabled by default. + + + **kwargs (additional keyword arguments): + Keyword arguments to be passed to [`pandas.read_csv`]. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> ds = Dataset.from_csv('path/to/dataset.csv') + ``` + """ + # Dynamic import to avoid circular dependency + from .io.csv import CsvDatasetReader + + return CsvDatasetReader( + path_or_paths, + split=split, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + num_proc=num_proc, + **kwargs, + ).read() + + @staticmethod + def from_generator( + generator: Callable, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + gen_kwargs: Optional[dict] = None, + num_proc: Optional[int] = None, + split: NamedSplit = Split.TRAIN, + **kwargs, + ): + """Create a Dataset from a generator. + + Args: + generator (:`Callable`): + A generator function that `yields` examples. + features ([`Features`], *optional*): + Dataset features. + cache_dir (`str`, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + gen_kwargs(`dict`, *optional*): + Keyword arguments to be passed to the `generator` callable. + You can define a sharded dataset by passing the list of shards in `gen_kwargs` and setting `num_proc` greater than 1. + num_proc (`int`, *optional*, defaults to `None`): + Number of processes when downloading and generating the dataset locally. + This is helpful if the dataset is made of multiple files. Multiprocessing is disabled by default. + If `num_proc` is greater than one, then all list values in `gen_kwargs` must be the same length. These values will be split between calls to the generator. The number of shards will be the minimum of the shortest list in `gen_kwargs` and `num_proc`. + + + split ([`NamedSplit`], defaults to `Split.TRAIN`): + Split name to be assigned to the dataset. + + + **kwargs (additional keyword arguments): + Keyword arguments to be passed to :[`GeneratorConfig`]. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> def gen(): + ... yield {"text": "Good", "label": 0} + ... yield {"text": "Bad", "label": 1} + ... + >>> ds = Dataset.from_generator(gen) + ``` + + ```py + >>> def gen(shards): + ... for shard in shards: + ... with open(shard) as f: + ... for line in f: + ... yield {"line": line} + ... + >>> shards = [f"data{i}.txt" for i in range(32)] + >>> ds = Dataset.from_generator(gen, gen_kwargs={"shards": shards}) + ``` + """ + from .io.generator import GeneratorDatasetInputStream + + return GeneratorDatasetInputStream( + generator=generator, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + gen_kwargs=gen_kwargs, + num_proc=num_proc, + split=split, + **kwargs, + ).read() + + @staticmethod + def from_json( + path_or_paths: Union[PathLike, list[PathLike]], + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + field: Optional[str] = None, + num_proc: Optional[int] = None, + **kwargs, + ): + """Create Dataset from JSON or JSON Lines file(s). + + Args: + path_or_paths (`path-like` or list of `path-like`): + Path(s) of the JSON or JSON Lines file(s). + split ([`NamedSplit`], *optional*): + Split name to be assigned to the dataset. + features ([`Features`], *optional*): + Dataset features. + cache_dir (`str`, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + field (`str`, *optional*): + Field name of the JSON file where the dataset is contained in. + num_proc (`int`, *optional* defaults to `None`): + Number of processes when downloading and generating the dataset locally. + This is helpful if the dataset is made of multiple files. Multiprocessing is disabled by default. + + + **kwargs (additional keyword arguments): + Keyword arguments to be passed to [`JsonConfig`]. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> ds = Dataset.from_json('path/to/dataset.json') + ``` + """ + # Dynamic import to avoid circular dependency + from .io.json import JsonDatasetReader + + return JsonDatasetReader( + path_or_paths, + split=split, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + field=field, + num_proc=num_proc, + **kwargs, + ).read() + + @staticmethod + def from_parquet( + path_or_paths: Union[PathLike, list[PathLike]], + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + columns: Optional[list[str]] = None, + num_proc: Optional[int] = None, + **kwargs, + ): + """Create Dataset from Parquet file(s). + + Args: + path_or_paths (`path-like` or list of `path-like`): + Path(s) of the Parquet file(s). + split (`NamedSplit`, *optional*): + Split name to be assigned to the dataset. + features (`Features`, *optional*): + Dataset features. + cache_dir (`str`, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + columns (`List[str]`, *optional*): + If not `None`, only these columns will be read from the file. + A column name may be a prefix of a nested field, e.g. 'a' will select + 'a.b', 'a.c', and 'a.d.e'. + num_proc (`int`, *optional*, defaults to `None`): + Number of processes when downloading and generating the dataset locally. + This is helpful if the dataset is made of multiple files. Multiprocessing is disabled by default. + + + **kwargs (additional keyword arguments): + Keyword arguments to be passed to [`ParquetConfig`]. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> ds = Dataset.from_parquet('path/to/dataset.parquet') + ``` + """ + # Dynamic import to avoid circular dependency + from .io.parquet import ParquetDatasetReader + + return ParquetDatasetReader( + path_or_paths, + split=split, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + columns=columns, + num_proc=num_proc, + **kwargs, + ).read() + + @staticmethod + def from_text( + path_or_paths: Union[PathLike, list[PathLike]], + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + num_proc: Optional[int] = None, + **kwargs, + ): + """Create Dataset from text file(s). + + Args: + path_or_paths (`path-like` or list of `path-like`): + Path(s) of the text file(s). + split (`NamedSplit`, *optional*): + Split name to be assigned to the dataset. + features (`Features`, *optional*): + Dataset features. + cache_dir (`str`, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + num_proc (`int`, *optional*, defaults to `None`): + Number of processes when downloading and generating the dataset locally. + This is helpful if the dataset is made of multiple files. Multiprocessing is disabled by default. + + + **kwargs (additional keyword arguments): + Keyword arguments to be passed to [`TextConfig`]. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> ds = Dataset.from_text('path/to/dataset.txt') + ``` + """ + # Dynamic import to avoid circular dependency + from .io.text import TextDatasetReader + + return TextDatasetReader( + path_or_paths, + split=split, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + num_proc=num_proc, + **kwargs, + ).read() + + @staticmethod + def from_spark( + df: "pyspark.sql.DataFrame", + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + keep_in_memory: bool = False, + cache_dir: str = None, + working_dir: str = None, + load_from_cache_file: bool = True, + **kwargs, + ): + """Create a Dataset from Spark DataFrame. Dataset downloading is distributed over Spark workers. + + Args: + df (`pyspark.sql.DataFrame`): + The DataFrame containing the desired data. + split (`NamedSplit`, *optional*): + Split name to be assigned to the dataset. + features (`Features`, *optional*): + Dataset features. + cache_dir (`str`, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. When using a multi-node Spark cluster, the cache_dir must be accessible to both + workers and the driver. + keep_in_memory (`bool`): + Whether to copy the data in-memory. + working_dir (`str`, *optional*) + Intermediate directory for each Spark worker to write data to before moving it to `cache_dir`. Setting + a non-NFS intermediate directory may improve performance. + load_from_cache_file (`bool`): + Whether to load the dataset from the cache if possible. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> df = spark.createDataFrame( + >>> data=[[1, "Elia"], [2, "Teo"], [3, "Fang"]], + >>> columns=["id", "name"], + >>> ) + >>> ds = Dataset.from_spark(df) + ``` + """ + # Dynamic import to avoid circular dependency + from .io.spark import SparkDatasetReader + + if sys.platform == "win32": + raise OSError("Dataset.from_spark is not currently supported on Windows") + + return SparkDatasetReader( + df, + split=split, + features=features, + streaming=False, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + working_dir=working_dir, + load_from_cache_file=load_from_cache_file, + **kwargs, + ).read() + + @staticmethod + def from_sql( + sql: Union[str, "sqlalchemy.sql.Selectable"], + con: Union[str, "sqlalchemy.engine.Connection", "sqlalchemy.engine.Engine", "sqlite3.Connection"], + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + **kwargs, + ): + """Create Dataset from SQL query or database table. + + Args: + sql (`str` or `sqlalchemy.sql.Selectable`): + SQL query to be executed or a table name. + con (`str` or `sqlite3.Connection` or `sqlalchemy.engine.Connection` or `sqlalchemy.engine.Connection`): + A [URI string](https://docs.sqlalchemy.org/en/13/core/engines.html#database-urls) used to instantiate a database connection or a SQLite3/SQLAlchemy connection object. + features ([`Features`], *optional*): + Dataset features. + cache_dir (`str`, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + **kwargs (additional keyword arguments): + Keyword arguments to be passed to [`SqlConfig`]. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> # Fetch a database table + >>> ds = Dataset.from_sql("test_data", "postgres:///db_name") + >>> # Execute a SQL query on the table + >>> ds = Dataset.from_sql("SELECT sentence FROM test_data", "postgres:///db_name") + >>> # Use a Selectable object to specify the query + >>> from sqlalchemy import select, text + >>> stmt = select([text("sentence")]).select_from(text("test_data")) + >>> ds = Dataset.from_sql(stmt, "postgres:///db_name") + ``` + + + + The returned dataset can only be cached if `con` is specified as URI string. + + + """ + from .io.sql import SqlDatasetReader + + return SqlDatasetReader( + sql, + con, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + **kwargs, + ).read() + + def __setstate__(self, state): + self.__dict__.update(state) + maybe_register_dataset_for_temp_dir_deletion(self) + return self + + def __del__(self): + if hasattr(self, "_data"): + del self._data + if hasattr(self, "_indices"): + del self._indices + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + # Here `del` is used to del the pyarrow tables. This properly closes the files used for memory mapped tables + self.__del__() + + def save_to_disk( + self, + dataset_path: PathLike, + max_shard_size: Optional[Union[str, int]] = None, + num_shards: Optional[int] = None, + num_proc: Optional[int] = None, + storage_options: Optional[dict] = None, + ): + """ + Saves a dataset to a dataset directory, or in a filesystem using any implementation of `fsspec.spec.AbstractFileSystem`. + + For [`Image`], [`Audio`] and [`Video`] data: + + All the Image(), Audio() and Video() data are stored in the arrow files. + If you want to store paths or urls, please use the Value("string") type. + + Args: + dataset_path (`path-like`): + Path (e.g. `dataset/train`) or remote URI (e.g. `s3://my-bucket/dataset/train`) + of the dataset directory where the dataset will be saved to. + max_shard_size (`int` or `str`, *optional*, defaults to `"500MB"`): + The maximum size of the dataset shards to be uploaded to the hub. If expressed as a string, needs to be digits followed by a unit + (like `"50MB"`). + num_shards (`int`, *optional*): + Number of shards to write. By default the number of shards depends on `max_shard_size` and `num_proc`. + + + num_proc (`int`, *optional*): + Number of processes when downloading and generating the dataset locally. + Multiprocessing is disabled by default. + + + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + + Example: + + ```py + >>> ds.save_to_disk("path/to/dataset/directory") + >>> ds.save_to_disk("path/to/dataset/directory", max_shard_size="1GB") + >>> ds.save_to_disk("path/to/dataset/directory", num_shards=1024) + ``` + """ + if max_shard_size is not None and num_shards is not None: + raise ValueError( + "Failed to push_to_hub: please specify either max_shard_size or num_shards, but not both." + ) + if self.list_indexes(): + raise ValueError("please remove all the indexes using `dataset.drop_index` before saving a dataset") + + if num_shards is None: + dataset_nbytes = self._estimate_nbytes() + max_shard_size = convert_file_size_to_int(max_shard_size or config.MAX_SHARD_SIZE) + num_shards = int(dataset_nbytes / max_shard_size) + 1 + num_shards = max(num_shards, num_proc or 1) + + num_proc = num_proc if num_proc is not None else 1 + num_shards = num_shards if num_shards is not None else num_proc + + fs: fsspec.AbstractFileSystem + fs, _ = url_to_fs(dataset_path, **(storage_options or {})) + + if not is_remote_filesystem(fs): + parent_cache_files_paths = { + Path(cache_filename["filename"]).resolve().parent for cache_filename in self.cache_files + } + # Check that the dataset doesn't overwrite itself. It can cause a permission error on Windows and a segfault on linux. + if Path(dataset_path).expanduser().resolve() in parent_cache_files_paths: + raise PermissionError( + f"Tried to overwrite {Path(dataset_path).expanduser().resolve()} but a dataset can't overwrite itself." + ) + + fs.makedirs(dataset_path, exist_ok=True) + + # Get json serializable state + state = { + key: self.__dict__[key] + for key in [ + "_fingerprint", + "_format_columns", + "_format_kwargs", + "_format_type", + "_output_all_columns", + ] + } + state["_split"] = str(self.split) if self.split is not None else self.split + state["_data_files"] = [ + {"filename": f"data-{shard_idx:05d}-of-{num_shards:05d}.arrow"} for shard_idx in range(num_shards) + ] + for k in state["_format_kwargs"].keys(): + try: + json.dumps(state["_format_kwargs"][k]) + except TypeError as e: + raise TypeError( + str(e) + f"\nThe format kwargs must be JSON serializable, but key '{k}' isn't." + ) from None + # Get json serializable dataset info + dataset_info = asdict(self._info) + + shards_done = 0 + pbar = hf_tqdm( + unit=" examples", + total=len(self), + desc=f"Saving the dataset ({shards_done}/{num_shards} shards)", + ) + kwargs_per_job = ( + { + "job_id": shard_idx, + "shard": self.shard(num_shards=num_shards, index=shard_idx, contiguous=True), + "fpath": posixpath.join(dataset_path, f"data-{shard_idx:05d}-of-{num_shards:05d}.arrow"), + "storage_options": storage_options, + } + for shard_idx in range(num_shards) + ) + shard_lengths = [None] * num_shards + shard_sizes = [None] * num_shards + if num_proc > 1: + with Pool(num_proc) as pool: + with pbar: + for job_id, done, content in iflatmap_unordered( + pool, Dataset._save_to_disk_single, kwargs_iterable=kwargs_per_job + ): + if done: + shards_done += 1 + pbar.set_description(f"Saving the dataset ({shards_done}/{num_shards} shards)") + logger.debug(f"Finished writing shard number {job_id} of {num_shards}.") + shard_lengths[job_id], shard_sizes[job_id] = content + else: + pbar.update(content) + else: + with pbar: + for kwargs in kwargs_per_job: + for job_id, done, content in Dataset._save_to_disk_single(**kwargs): + if done: + shards_done += 1 + pbar.set_description(f"Saving the dataset ({shards_done}/{num_shards} shards)") + logger.debug(f"Finished writing shard number {job_id} of {num_shards}.") + shard_lengths[job_id], shard_sizes[job_id] = content + else: + pbar.update(content) + with fs.open( + posixpath.join(dataset_path, config.DATASET_STATE_JSON_FILENAME), "w", encoding="utf-8" + ) as state_file: + json.dump(state, state_file, indent=2, sort_keys=True) + with fs.open( + posixpath.join(dataset_path, config.DATASET_INFO_FILENAME), "w", encoding="utf-8" + ) as dataset_info_file: + # Sort only the first level of keys, or we might shuffle fields of nested features if we use sort_keys=True + sorted_keys_dataset_info = {key: dataset_info[key] for key in sorted(dataset_info)} + json.dump(sorted_keys_dataset_info, dataset_info_file, indent=2) + + @staticmethod + def _save_to_disk_single(job_id: int, shard: "Dataset", fpath: str, storage_options: Optional[dict]): + batch_size = config.DEFAULT_MAX_BATCH_SIZE + + num_examples_progress_update = 0 + writer = ArrowWriter( + features=shard.features, + path=fpath, + storage_options=storage_options, + embed_local_files=True, + ) + try: + _time = time.time() + for pa_table in shard.with_format("arrow").iter(batch_size): + writer.write_table(pa_table) + num_examples_progress_update += len(pa_table) + if time.time() > _time + config.PBAR_REFRESH_TIME_INTERVAL: + _time = time.time() + yield job_id, False, num_examples_progress_update + num_examples_progress_update = 0 + finally: + yield job_id, False, num_examples_progress_update + num_examples, num_bytes = writer.finalize() + writer.close() + + yield job_id, True, (num_examples, num_bytes) + + @staticmethod + def _build_local_temp_path(uri_or_path: str) -> Path: + """ + Builds and returns a Path concatenating a local temporary dir with the dir path (or absolute/relative + path extracted from the uri) passed. + + Args: + uri_or_path (`str`): Path (e.g. `"dataset/train"`) or remote URI (e.g. + `"s3://my-bucket/dataset/train"`) to concatenate. + + Returns: + :class:`Path`: the concatenated path (temp dir + path) + """ + src_dataset_path = Path(uri_or_path) + tmp_dir = get_temporary_cache_files_directory() + return Path(tmp_dir, src_dataset_path.relative_to(src_dataset_path.anchor)) + + @staticmethod + def load_from_disk( + dataset_path: PathLike, + keep_in_memory: Optional[bool] = None, + storage_options: Optional[dict] = None, + ) -> "Dataset": + """ + Loads a dataset that was previously saved using [`save_to_disk`] from a dataset directory, or from a + filesystem using any implementation of `fsspec.spec.AbstractFileSystem`. + + Args: + dataset_path (`path-like`): + Path (e.g. `"dataset/train"`) or remote URI (e.g. `"s3//my-bucket/dataset/train"`) + of the dataset directory where the dataset will be loaded from. + keep_in_memory (`bool`, defaults to `None`): + Whether to copy the dataset in-memory. If `None`, the + dataset will not be copied in-memory unless explicitly enabled by setting + `datasets.config.IN_MEMORY_MAX_SIZE` to nonzero. See more details in the + [improve performance](../cache#improve-performance) section. + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + + Returns: + [`Dataset`] or [`DatasetDict`]: + - If `dataset_path` is a path of a dataset directory, the dataset requested. + - If `dataset_path` is a path of a dataset dict directory, a `datasets.DatasetDict` with each split. + + Example: + + ```py + >>> ds = load_from_disk("path/to/dataset/directory") + ``` + """ + fs: fsspec.AbstractFileSystem + fs, dataset_path = url_to_fs(dataset_path, **(storage_options or {})) + + dest_dataset_path = dataset_path + dataset_dict_json_path = posixpath.join(dest_dataset_path, config.DATASETDICT_JSON_FILENAME) + dataset_state_json_path = posixpath.join(dest_dataset_path, config.DATASET_STATE_JSON_FILENAME) + dataset_info_path = posixpath.join(dest_dataset_path, config.DATASET_INFO_FILENAME) + + dataset_dict_is_file = fs.isfile(dataset_dict_json_path) + dataset_info_is_file = fs.isfile(dataset_info_path) + dataset_state_is_file = fs.isfile(dataset_state_json_path) + if not dataset_info_is_file and not dataset_state_is_file: + if dataset_dict_is_file: + raise FileNotFoundError( + f"No such files: '{dataset_info_path}', nor '{dataset_state_json_path}' found. Expected to load a `Dataset` object, but got a `DatasetDict`. Please use either `datasets.load_from_disk` or `DatasetDict.load_from_disk` instead." + ) + raise FileNotFoundError( + f"No such files: '{dataset_info_path}', nor '{dataset_state_json_path}' found. Expected to load a `Dataset` object but provided path is not a `Dataset`." + ) + if not dataset_info_is_file: + if dataset_dict_is_file: + raise FileNotFoundError( + f"No such file: '{dataset_info_path}' found. Expected to load a `Dataset` object, but got a `DatasetDict`. Please use either `datasets.load_from_disk` or `DatasetDict.load_from_disk` instead." + ) + raise FileNotFoundError( + f"No such file: '{dataset_info_path}'. Expected to load a `Dataset` object but provided path is not a `Dataset`." + ) + if not dataset_state_is_file: + if dataset_dict_is_file: + raise FileNotFoundError( + f"No such file: '{dataset_state_json_path}' found. Expected to load a `Dataset` object, but got a `DatasetDict`. Please use either `datasets.load_from_disk` or `DatasetDict.load_from_disk` instead." + ) + raise FileNotFoundError( + f"No such file: '{dataset_state_json_path}'. Expected to load a `Dataset` object but provided path is not a `Dataset`." + ) + + # copies file from filesystem if it is remote filesystem to local filesystem and modifies dataset_path to temp directory containing local copies + if is_remote_filesystem(fs): + src_dataset_path = dest_dataset_path + dest_dataset_path = Dataset._build_local_temp_path(src_dataset_path) + fs.download(src_dataset_path, dest_dataset_path.as_posix(), recursive=True) + dataset_state_json_path = posixpath.join(dest_dataset_path, config.DATASET_STATE_JSON_FILENAME) + dataset_info_path = posixpath.join(dest_dataset_path, config.DATASET_INFO_FILENAME) + + with open(dataset_state_json_path, encoding="utf-8") as state_file: + state = json.load(state_file) + with open(dataset_info_path, encoding="utf-8") as dataset_info_file: + dataset_info = DatasetInfo.from_dict(json.load(dataset_info_file)) + + dataset_size = estimate_dataset_size( + Path(dest_dataset_path, data_file["filename"]) for data_file in state["_data_files"] + ) + keep_in_memory = keep_in_memory if keep_in_memory is not None else is_small_dataset(dataset_size) + table_cls = InMemoryTable if keep_in_memory else MemoryMappedTable + + arrow_table = concat_tables( + thread_map( + table_cls.from_file, + [posixpath.join(dest_dataset_path, data_file["filename"]) for data_file in state["_data_files"]], + tqdm_class=hf_tqdm, + desc="Loading dataset from disk", + # set `disable=None` rather than `disable=False` by default to disable progress bar when no TTY attached + disable=len(state["_data_files"]) <= 16 or None, + ) + ) + + split = state["_split"] + split = Split(split) if split is not None else split + + dataset = Dataset( + arrow_table=arrow_table, + info=dataset_info, + split=split, + fingerprint=state["_fingerprint"], + ) + + format = { + "type": state["_format_type"], + "format_kwargs": state["_format_kwargs"], + "columns": state["_format_columns"], + "output_all_columns": state["_output_all_columns"], + } + dataset = dataset.with_format(**format) + + return dataset + + @property + def data(self) -> Table: + """The Apache Arrow table backing the dataset. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.data + MemoryMappedTable + text: string + label: int64 + ---- + text: [["compassionately explores the seemingly irreconcilable situation between conservative christian parents and their estranged gay and lesbian children .","the soundtrack alone is worth the price of admission .","rodriguez does a splendid job of racial profiling hollywood style--casting excellent latin actors of all ages--a trend long overdue .","beneath the film's obvious determination to shock at any cost lies considerable skill and determination , backed by sheer nerve .","bielinsky is a filmmaker of impressive talent .","so beautifully acted and directed , it's clear that washington most certainly has a new career ahead of him if he so chooses .","a visual spectacle full of stunning images and effects .","a gentle and engrossing character study .","it's enough to watch huppert scheming , with her small , intelligent eyes as steady as any noir villain , and to enjoy the perfectly pitched web of tension that chabrol spins .","an engrossing portrait of uncompromising artists trying to create something original against the backdrop of a corporate music industry that only seems to care about the bottom line .",...,"ultimately , jane learns her place as a girl , softens up and loses some of the intensity that made her an interesting character to begin with .","ah-nuld's action hero days might be over .","it's clear why deuces wild , which was shot two years ago , has been gathering dust on mgm's shelf .","feels like nothing quite so much as a middle-aged moviemaker's attempt to surround himself with beautiful , half-naked women .","when the precise nature of matthew's predicament finally comes into sharp focus , the revelation fails to justify the build-up .","this picture is murder by numbers , and as easy to be bored by as your abc's , despite a few whopping shootouts .","hilarious musical comedy though stymied by accents thick as mud .","if you are into splatter movies , then you will probably have a reasonably good time with the salton sea .","a dull , simple-minded and stereotypical tale of drugs , death and mind-numbing indifference on the inner-city streets .","the feature-length stretch . . . strains the show's concept ."]] + label: [[1,1,1,1,1,1,1,1,1,1,...,0,0,0,0,0,0,0,0,0,0]] + ``` + """ + return self._data + + @property + def cache_files(self) -> list[dict]: + """The cache files containing the Apache Arrow table backing the dataset. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.cache_files + [{'filename': '/root/.cache/huggingface/datasets/rotten_tomatoes_movie_review/default/1.0.0/40d411e45a6ce3484deed7cc15b82a53dad9a72aafd9f86f8f227134bec5ca46/rotten_tomatoes_movie_review-validation.arrow'}] + ``` + """ + cache_files = list_table_cache_files(self._data) + if self._indices is not None: + cache_files += list_table_cache_files(self._indices) + return [{"filename": cache_filename} for cache_filename in cache_files] + + @property + def num_columns(self) -> int: + """Number of columns in the dataset. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.num_columns + 2 + ``` + """ + return self._data.num_columns + + @property + def num_rows(self) -> int: + """Number of rows in the dataset (same as [`Dataset.__len__`]). + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.num_rows + 1066 + ``` + """ + if self._indices is not None: + return self._indices.num_rows + return self._data.num_rows + + @property + def column_names(self) -> list[str]: + """Names of the columns in the dataset. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.column_names + ['text', 'label'] + ``` + """ + return self._data.column_names + + @property + def shape(self) -> tuple[int, int]: + """Shape of the dataset (number of columns, number of rows). + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.shape + (1066, 2) + ``` + """ + if self._indices is not None: + return (self._indices.num_rows, self._data.num_columns) + return self._data.shape + + def unique(self, column: str) -> list: + """Return a list of the unique elements in a column. + + This is implemented in the low-level backend and as such, very fast. + + Args: + column (`str`): + Column name (list all the column names with [`~datasets.Dataset.column_names`]). + + Returns: + `list`: List of unique elements in the given column. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.unique('label') + [1, 0] + ``` + """ + if column not in self._data.column_names: + raise ValueError(f"Column ({column}) not in table columns ({self._data.column_names}).") + + if self._indices is not None and self._indices.num_rows != self._data.num_rows: + dataset = self.flatten_indices() + else: + dataset = self + + return dataset._data.column(column).unique().to_pylist() + + def class_encode_column(self, column: str, include_nulls: bool = False) -> "Dataset": + """Casts the given column as [`~datasets.features.ClassLabel`] and updates the table. + + Args: + column (`str`): + The name of the column to cast (list all the column names with [`~datasets.Dataset.column_names`]) + include_nulls (`bool`, defaults to `False`): + Whether to include null values in the class labels. If `True`, the null values will be encoded as the `"None"` class label. + + + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("boolq", split="validation") + >>> ds.features + {'answer': Value(dtype='bool', id=None), + 'passage': Value(dtype='string', id=None), + 'question': Value(dtype='string', id=None)} + >>> ds = ds.class_encode_column('answer') + >>> ds.features + {'answer': ClassLabel(num_classes=2, names=['False', 'True'], id=None), + 'passage': Value(dtype='string', id=None), + 'question': Value(dtype='string', id=None)} + ``` + """ + # Sanity checks + if column not in self._data.column_names: + raise ValueError(f"Column ({column}) not in table columns ({self._data.column_names}).") + src_feat = self._info.features[column] + if not isinstance(src_feat, Value): + raise ValueError( + f"Class encoding is only supported for {Value.__name__} column, and column {column} is {type(src_feat).__name__}." + ) + + if src_feat.dtype != "string" or (include_nulls and None in self.unique(column)): + + def stringify_column(batch): + batch[column] = [ + str(sample) if include_nulls or sample is not None else None for sample in batch[column] + ] + return batch + + dset = self.map( + stringify_column, + batched=True, + desc="Stringifying the column", + ) + else: + dset = self + + # Create the new feature + class_names = sorted(str(sample) for sample in dset.unique(column) if include_nulls or sample is not None) + dst_feat = ClassLabel(names=class_names) + + def cast_to_class_labels(batch): + batch[column] = [ + dst_feat.str2int(str(sample)) if include_nulls or sample is not None else None + for sample in batch[column] + ] + return batch + + new_features = dset.features.copy() + new_features[column] = dst_feat + + dset = dset.map( + cast_to_class_labels, + batched=True, + features=new_features, + desc="Casting to class labels", + ) + + return dset + + @fingerprint_transform(inplace=False) + def flatten(self, new_fingerprint: Optional[str] = None, max_depth=16) -> "Dataset": + """Flatten the table. + Each column with a struct type is flattened into one column per struct field. + Other columns are left unchanged. + + Args: + new_fingerprint (`str`, *optional*): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments. + + Returns: + [`Dataset`]: A copy of the dataset with flattened columns. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("rajpurkar/squad", split="train") + >>> ds.features + {'answers': Sequence(feature={'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int32', id=None)}, length=-1, id=None), + 'context': Value(dtype='string', id=None), + 'id': Value(dtype='string', id=None), + 'question': Value(dtype='string', id=None), + 'title': Value(dtype='string', id=None)} + >>> ds.flatten() + Dataset({ + features: ['id', 'title', 'context', 'question', 'answers.text', 'answers.answer_start'], + num_rows: 87599 + }) + ``` + """ + dataset = copy.deepcopy(self) + for depth in range(1, max_depth): + if any(isinstance(field.type, pa.StructType) for field in dataset._data.schema): + dataset._data = dataset._data.flatten() + else: + break + dataset.info.features = self._info.features.flatten(max_depth=max_depth) + dataset.info.features = Features({col: dataset.info.features[col] for col in dataset.data.column_names}) + dataset._data = update_metadata_with_features(dataset._data, dataset.features) + logger.info(f"Flattened dataset from depth {depth} to depth {1 if depth + 1 < max_depth else 'unknown'}.") + dataset._fingerprint = new_fingerprint + return dataset + + def cast( + self, + features: Features, + batch_size: Optional[int] = 1000, + keep_in_memory: bool = False, + load_from_cache_file: Optional[bool] = None, + cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + num_proc: Optional[int] = None, + ) -> "Dataset": + """ + Cast the dataset to a new set of features. + + Args: + features ([`Features`]): + New features to cast the dataset to. + The name of the fields in the features must match the current column names. + The type of the data must also be convertible from one type to the other. + For non-trivial conversion, e.g. `str` <-> `ClassLabel` you should use [`~datasets.Dataset.map`] to update the Dataset. + batch_size (`int`, defaults to `1000`): + Number of examples per batch provided to cast. + If `batch_size <= 0` or `batch_size == None` then provide the full dataset as a single batch to cast. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + load_from_cache_file (`bool`, defaults to `True` if caching is enabled): + If a cache file storing the current computation from `function` + can be identified, use it instead of recomputing. + cache_file_name (`str`, *optional*, defaults to `None`): + Provide the name of a path for the cache file. It is used to store the + results of the computation instead of the automatically generated cache file name. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running [`~datasets.Dataset.map`]. + num_proc (`int`, *optional*, defaults to `None`): + Number of processes for multiprocessing. By default it doesn't + use multiprocessing. + + Returns: + [`Dataset`]: A copy of the dataset with casted features. + + Example: + + ```py + >>> from datasets import load_dataset, ClassLabel, Value + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.features + {'label': ClassLabel(names=['neg', 'pos'], id=None), + 'text': Value(dtype='string', id=None)} + >>> new_features = ds.features.copy() + >>> new_features['label'] = ClassLabel(names=['bad', 'good']) + >>> new_features['text'] = Value('large_string') + >>> ds = ds.cast(new_features) + >>> ds.features + {'label': ClassLabel(names=['bad', 'good'], id=None), + 'text': Value(dtype='large_string', id=None)} + ``` + """ + if sorted(features) != sorted(self._data.column_names): + raise ValueError( + f"The columns in features ({list(features)}) must be identical " + f"as the columns in the dataset: {self._data.column_names}" + ) + + schema = features.arrow_schema + format = self.format + dataset = self.with_format("arrow") + # capture the PyArrow version here to make the lambda serializable on Windows + dataset = dataset.map( + partial(table_cast, schema=schema), + batched=True, + batch_size=batch_size, + keep_in_memory=keep_in_memory, + load_from_cache_file=load_from_cache_file, + cache_file_name=cache_file_name, + writer_batch_size=writer_batch_size, + num_proc=num_proc, + features=features, + desc="Casting the dataset", + ) + dataset = dataset.with_format(**format) + return dataset + + @fingerprint_transform(inplace=False) + def cast_column(self, column: str, feature: FeatureType, new_fingerprint: Optional[str] = None) -> "Dataset": + """Cast column to feature for decoding. + + Args: + column (`str`): + Column name. + feature (`FeatureType`): + Target feature. + new_fingerprint (`str`, *optional*): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> from datasets import load_dataset, ClassLabel + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.features + {'label': ClassLabel(names=['neg', 'pos'], id=None), + 'text': Value(dtype='string', id=None)} + >>> ds = ds.cast_column('label', ClassLabel(names=['bad', 'good'])) + >>> ds.features + {'label': ClassLabel(names=['bad', 'good'], id=None), + 'text': Value(dtype='string', id=None)} + ``` + """ + if hasattr(feature, "decode_example"): + dataset = copy.deepcopy(self) + dataset._info.features[column] = feature + dataset._fingerprint = new_fingerprint + dataset._data = dataset._data.cast(dataset.features.arrow_schema) + dataset._data = update_metadata_with_features(dataset._data, dataset.features) + return dataset + else: + features = self.features + features[column] = feature + return self.cast(features) + + @transmit_format + @fingerprint_transform(inplace=False) + def remove_columns(self, column_names: Union[str, list[str]], new_fingerprint: Optional[str] = None) -> "Dataset": + """ + Remove one or several column(s) in the dataset and the features associated to them. + + You can also remove a column using [`~datasets.Dataset.map`] with `remove_columns` but the present method + doesn't copy the data of the remaining columns and is thus faster. + + Args: + column_names (`Union[str, List[str]]`): + Name of the column(s) to remove. + new_fingerprint (`str`, *optional*): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments. + + Returns: + [`Dataset`]: A copy of the dataset object without the columns to remove. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds = ds.remove_columns('label') + Dataset({ + features: ['text'], + num_rows: 1066 + }) + >>> ds = ds.remove_columns(column_names=ds.column_names) # Removing all the columns returns an empty dataset with the `num_rows` property set to 0 + Dataset({ + features: [], + num_rows: 0 + }) + ``` + """ + dataset = copy.deepcopy(self) + if isinstance(column_names, str): + column_names = [column_names] + + missing_columns = set(column_names) - set(self._data.column_names) + if missing_columns: + raise ValueError( + f"Column name {list(missing_columns)} not in the dataset. " + f"Current columns in the dataset: {dataset._data.column_names}" + ) + + for column_name in column_names: + del dataset._info.features[column_name] + + dataset._data = dataset._data.drop(column_names) + dataset._data = update_metadata_with_features(dataset._data, dataset.features) + dataset._fingerprint = new_fingerprint + return dataset + + @fingerprint_transform(inplace=False) + def rename_column( + self, original_column_name: str, new_column_name: str, new_fingerprint: Optional[str] = None + ) -> "Dataset": + """ + Rename a column in the dataset, and move the features associated to the original column under the new column + name. + + Args: + original_column_name (`str`): + Name of the column to rename. + new_column_name (`str`): + New name for the column. + new_fingerprint (`str`, *optional*): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments. + + Returns: + [`Dataset`]: A copy of the dataset with a renamed column. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds = ds.rename_column('label', 'label_new') + Dataset({ + features: ['text', 'label_new'], + num_rows: 1066 + }) + ``` + """ + dataset = copy.deepcopy(self) + if original_column_name not in dataset._data.column_names: + raise ValueError( + f"Original column name {original_column_name} not in the dataset. " + f"Current columns in the dataset: {dataset._data.column_names}" + ) + if new_column_name in dataset._data.column_names: + raise ValueError( + f"New column name {new_column_name} already in the dataset. " + f"Please choose a column name which is not already in the dataset. " + f"Current columns in the dataset: {dataset._data.column_names}" + ) + if not new_column_name: + raise ValueError("New column name is empty.") + + def rename(columns): + return [new_column_name if col == original_column_name else col for col in columns] + + new_column_names = rename(self._data.column_names) + if self._format_columns is not None: + dataset._format_columns = rename(self._format_columns) + + dataset._info.features = Features( + { + new_column_name if col == original_column_name else col: feature + for col, feature in self._info.features.items() + } + ) + + dataset._data = dataset._data.rename_columns(new_column_names) + dataset._data = update_metadata_with_features(dataset._data, dataset.features) + dataset._fingerprint = new_fingerprint + return dataset + + @fingerprint_transform(inplace=False) + def rename_columns(self, column_mapping: dict[str, str], new_fingerprint: Optional[str] = None) -> "Dataset": + """ + Rename several columns in the dataset, and move the features associated to the original columns under + the new column names. + + Args: + column_mapping (`Dict[str, str]`): + A mapping of columns to rename to their new names + new_fingerprint (`str`, *optional*): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments. + + Returns: + [`Dataset`]: A copy of the dataset with renamed columns + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds = ds.rename_columns({'text': 'text_new', 'label': 'label_new'}) + Dataset({ + features: ['text_new', 'label_new'], + num_rows: 1066 + }) + ``` + """ + dataset = copy.deepcopy(self) + + extra_columns = set(column_mapping.keys()) - set(dataset.column_names) + if extra_columns: + raise ValueError( + f"Original column names {extra_columns} not in the dataset. " + f"Current columns in the dataset: {dataset._data.column_names}" + ) + + number_of_duplicates_in_new_columns = len(column_mapping.values()) - len(set(column_mapping.values())) + if number_of_duplicates_in_new_columns != 0: + raise ValueError( + "New column names must all be different, but this column mapping " + f"has {number_of_duplicates_in_new_columns} duplicates" + ) + + empty_new_columns = [new_col for new_col in column_mapping.values() if not new_col] + if empty_new_columns: + raise ValueError(f"New column names {empty_new_columns} are empty.") + + def rename(columns): + return [column_mapping[col] if col in column_mapping else col for col in columns] + + new_column_names = rename(self._data.column_names) + if self._format_columns is not None: + dataset._format_columns = rename(self._format_columns) + + dataset._info.features = Features( + { + column_mapping[col] if col in column_mapping else col: feature + for col, feature in (self._info.features or {}).items() + } + ) + + dataset._data = dataset._data.rename_columns(new_column_names) + dataset._data = update_metadata_with_features(dataset._data, dataset.features) + dataset._fingerprint = new_fingerprint + return dataset + + @transmit_format + @fingerprint_transform(inplace=False) + def select_columns(self, column_names: Union[str, list[str]], new_fingerprint: Optional[str] = None) -> "Dataset": + """Select one or several column(s) in the dataset and the features + associated to them. + + Args: + column_names (`Union[str, List[str]]`): + Name of the column(s) to keep. + new_fingerprint (`str`, *optional*): + The new fingerprint of the dataset after transform. If `None`, + the new fingerprint is computed using a hash of the previous + fingerprint, and the transform arguments. + + Returns: + [`Dataset`]: A copy of the dataset object which only consists of + selected columns. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.select_columns(['text']) + Dataset({ + features: ['text'], + num_rows: 1066 + }) + ``` + """ + if isinstance(column_names, str): + column_names = [column_names] + + missing_columns = set(column_names) - set(self._data.column_names) + if missing_columns: + raise ValueError( + f"Column name {list(missing_columns)} not in the " + "dataset. Current columns in the dataset: " + f"{self._data.column_names}." + ) + + dataset = copy.deepcopy(self) + dataset._data = dataset._data.select(column_names) + dataset._info.features = Features({col: self._info.features[col] for col in dataset._data.column_names}) + dataset._data = update_metadata_with_features(dataset._data, dataset.features) + dataset._fingerprint = new_fingerprint + return dataset + + def __len__(self): + """Number of rows in the dataset. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.__len__ + + ``` + """ + return self.num_rows + + def __iter__(self): + """Iterate through the examples. + + If a formatting is set with [`Dataset.set_format`] rows will be returned with the + selected format. + """ + if self._indices is None: + # Fast iteration + # Benchmark: https://gist.github.com/mariosasko/0248288a2e3a7556873969717c1fe52b (fast_iter_batch) + format_kwargs = self._format_kwargs if self._format_kwargs is not None else {} + formatter = get_formatter(self._format_type, features=self._info.features, **format_kwargs) + batch_size = config.ARROW_READER_BATCH_SIZE_IN_DATASET_ITER + for pa_subtable in table_iter(self.data, batch_size=batch_size): + for i in range(pa_subtable.num_rows): + pa_subtable_ex = pa_subtable.slice(i, 1) + formatted_output = format_table( + pa_subtable_ex, + 0, + formatter=formatter, + format_columns=self._format_columns, + output_all_columns=self._output_all_columns, + ) + yield formatted_output + else: + for i in range(self.num_rows): + yield self._getitem( + i, + ) + + def iter(self, batch_size: int, drop_last_batch: bool = False): + """Iterate through the batches of size `batch_size`. + + If a formatting is set with [`~datasets.Dataset.set_format`] rows will be returned with the + selected format. + + Args: + batch_size (:obj:`int`): size of each batch to yield. + drop_last_batch (:obj:`bool`, default `False`): Whether a last batch smaller than the batch_size should be + dropped + """ + if self._indices is None: + # Fast iteration + # Benchmark: https://gist.github.com/mariosasko/0248288a2e3a7556873969717c1fe52b (fast_iter_batch) + format_kwargs = self._format_kwargs if self._format_kwargs is not None else {} + formatter = get_formatter(self._format_type, features=self._info.features, **format_kwargs) + for pa_subtable in table_iter(self.data, batch_size=batch_size, drop_last_batch=drop_last_batch): + formatted_batch = format_table( + pa_subtable, + range(pa_subtable.num_rows), + formatter=formatter, + format_columns=self._format_columns, + output_all_columns=self._output_all_columns, + ) + yield formatted_batch + else: + num_rows = self.num_rows if not drop_last_batch else self.num_rows // batch_size * batch_size + for i in range(0, num_rows, batch_size): + yield self._getitem( + slice(i, i + batch_size), + ) + + def __repr__(self): + return f"Dataset({{\n features: {list(self._info.features.keys())},\n num_rows: {self.num_rows}\n}})" + + @property + def format(self): + return { + "type": self._format_type, + "format_kwargs": self._format_kwargs, + "columns": self.column_names if self._format_columns is None else self._format_columns, + "output_all_columns": self._output_all_columns, + } + + @contextlib.contextmanager + def formatted_as( + self, + type: Optional[str] = None, + columns: Optional[list] = None, + output_all_columns: bool = False, + **format_kwargs, + ): + """To be used in a `with` statement. Set `__getitem__` return format (type and columns). + + Args: + type (`str`, *optional*): + Either output type selected in `[None, 'numpy', 'torch', 'tensorflow', 'jax', 'arrow', 'pandas', 'polars']`. + `None` means `__getitem__`` returns python objects (default). + columns (`List[str]`, *optional*): + Columns to format in the output. + `None` means `__getitem__` returns all columns (default). + output_all_columns (`bool`, defaults to `False`): + Keep un-formatted columns as well in the output (as python objects). + **format_kwargs (additional keyword arguments): + Keywords arguments passed to the convert function like `np.array`, `torch.tensor` or `tensorflow.ragged.constant`. + """ + old_format_type = self._format_type + old_format_kwargs = self._format_kwargs + old_format_columns = self._format_columns + old_output_all_columns = self._output_all_columns + try: + self.set_format(type, columns, output_all_columns, **format_kwargs) + yield + finally: + self.set_format(old_format_type, old_format_columns, old_output_all_columns, **old_format_kwargs) + + @fingerprint_transform(inplace=True) + def set_format( + self, + type: Optional[str] = None, + columns: Optional[list] = None, + output_all_columns: bool = False, + **format_kwargs, + ): + """Set `__getitem__` return format (type and columns). The data formatting is applied on-the-fly. + The format `type` (for example "numpy") is used to format batches when using `__getitem__`. + It's also possible to use custom transforms for formatting using [`~datasets.Dataset.set_transform`]. + + Args: + type (`str`, *optional*): + Either output type selected in `[None, 'numpy', 'torch', 'tensorflow', 'jax', 'arrow', 'pandas', 'polars']`. + `None` means `__getitem__` returns python objects (default). + columns (`List[str]`, *optional*): + Columns to format in the output. + `None` means `__getitem__` returns all columns (default). + output_all_columns (`bool`, defaults to `False`): + Keep un-formatted columns as well in the output (as python objects). + **format_kwargs (additional keyword arguments): + Keywords arguments passed to the convert function like `np.array`, `torch.tensor` or `tensorflow.ragged.constant`. + + It is possible to call [`~datasets.Dataset.map`] after calling `set_format`. Since `map` may add new columns, then the list of formatted columns + gets updated. In this case, if you apply `map` on a dataset to add a new column, then this column will be formatted as: + + ``` + new formatted columns = (all columns - previously unformatted columns) + ``` + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + >>> ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True) + >>> ds.set_format(type='numpy', columns=['text', 'label']) + >>> ds.format + {'type': 'numpy', + 'format_kwargs': {}, + 'columns': ['text', 'label'], + 'output_all_columns': False} + ``` + """ + format_kwargs.update(format_kwargs.pop("format_kwargs", {})) # allow to use self.set_format(**self.format) + + # Check that the format_type and format_kwargs are valid and make it possible to have a Formatter + type = get_format_type_from_alias(type) + get_formatter(type, features=self._info.features, **format_kwargs) + + # Check filter column + if isinstance(columns, str): + columns = [columns] + if isinstance(columns, tuple): + columns = list(columns) + if columns is not None: + missing_columns = set(columns) - set(self._data.column_names) + if missing_columns: + raise ValueError( + f"Columns {list(missing_columns)} not in the dataset. Current columns in the dataset: {self._data.column_names}" + ) + if columns is not None: + columns = columns.copy() # Ensures modifications made to the list after this call don't cause bugs + + self._format_type = type + self._format_kwargs = format_kwargs + self._format_columns = columns + self._output_all_columns = output_all_columns + logger.debug( + "Set __getitem__(key) output type to %s for %s columns " + " (when key is int or slice) and %s output other (un-formatted) columns.", + "python objects" if type is None else type, + "no" if columns is None else str(columns), + "do" if output_all_columns else "don't", + ) + + def reset_format(self): + """Reset `__getitem__` return format to python objects and all columns. + + Same as `self.set_format()` + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + >>> ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True) + >>> ds.set_format(type='numpy', columns=['input_ids', 'token_type_ids', 'attention_mask', 'label']) + >>> ds.format + {'columns': ['input_ids', 'token_type_ids', 'attention_mask', 'label'], + 'format_kwargs': {}, + 'output_all_columns': False, + 'type': 'numpy'} + >>> ds.reset_format() + >>> ds.format + {'columns': ['text', 'label', 'input_ids', 'token_type_ids', 'attention_mask'], + 'format_kwargs': {}, + 'output_all_columns': False, + 'type': None} + ``` + """ + self.set_format() + + def set_transform( + self, + transform: Optional[Callable], + columns: Optional[list] = None, + output_all_columns: bool = False, + ): + """Set `__getitem__` return format using this transform. The transform is applied on-the-fly on batches when `__getitem__` is called. + As [`~datasets.Dataset.set_format`], this can be reset using [`~datasets.Dataset.reset_format`]. + + Args: + transform (`Callable`, *optional*): + User-defined formatting transform, replaces the format defined by [`~datasets.Dataset.set_format`]. + A formatting function is a callable that takes a batch (as a `dict`) as input and returns a batch. + This function is applied right before returning the objects in `__getitem__`. + columns (`List[str]`, *optional*): + Columns to format in the output. + If specified, then the input batch of the transform only contains those columns. + output_all_columns (`bool`, defaults to `False`): + Keep un-formatted columns as well in the output (as python objects). + If set to True, then the other un-formatted columns are kept with the output of the transform. + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased') + >>> def encode(batch): + ... return tokenizer(batch['text'], padding=True, truncation=True, return_tensors='pt') + >>> ds.set_transform(encode) + >>> ds[0] + {'attention_mask': tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, + 1, 1]), + 'input_ids': tensor([ 101, 29353, 2135, 15102, 1996, 9428, 20868, 2890, 8663, 6895, + 20470, 2571, 3663, 2090, 4603, 3017, 3008, 1998, 2037, 24211, + 5637, 1998, 11690, 2336, 1012, 102]), + 'token_type_ids': tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0])} + ``` + """ + self.set_format("custom", columns=columns, output_all_columns=output_all_columns, transform=transform) + + def with_format( + self, + type: Optional[str] = None, + columns: Optional[list] = None, + output_all_columns: bool = False, + **format_kwargs, + ): + """Set `__getitem__` return format (type and columns). The data formatting is applied on-the-fly. + The format `type` (for example "numpy") is used to format batches when using `__getitem__`. + + It's also possible to use custom transforms for formatting using [`~datasets.Dataset.with_transform`]. + + Contrary to [`~datasets.Dataset.set_format`], `with_format` returns a new [`Dataset`] object. + + Args: + type (`str`, *optional*): + Either output type selected in `[None, 'numpy', 'torch', 'tensorflow', 'jax', 'arrow', 'pandas', 'polars']`. + `None` means `__getitem__` returns python objects (default). + columns (`List[str]`, *optional*): + Columns to format in the output. + `None` means `__getitem__` returns all columns (default). + output_all_columns (`bool`, defaults to `False`): + Keep un-formatted columns as well in the output (as python objects). + **format_kwargs (additional keyword arguments): + Keywords arguments passed to the convert function like `np.array`, `torch.tensor` or `tensorflow.ragged.constant`. + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + >>> ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True) + >>> ds.format + {'columns': ['text', 'label', 'input_ids', 'token_type_ids', 'attention_mask'], + 'format_kwargs': {}, + 'output_all_columns': False, + 'type': None} + >>> ds = ds.with_format("torch") + >>> ds.format + {'columns': ['text', 'label', 'input_ids', 'token_type_ids', 'attention_mask'], + 'format_kwargs': {}, + 'output_all_columns': False, + 'type': 'torch'} + >>> ds[0] + {'text': 'compassionately explores the seemingly irreconcilable situation between conservative christian parents and their estranged gay and lesbian children .', + 'label': tensor(1), + 'input_ids': tensor([ 101, 18027, 16310, 16001, 1103, 9321, 178, 11604, 7235, 6617, + 1742, 2165, 2820, 1206, 6588, 22572, 12937, 1811, 2153, 1105, + 1147, 12890, 19587, 6463, 1105, 15026, 1482, 119, 102, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0]), + 'token_type_ids': tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), + 'attention_mask': tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, + 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])} + ``` + """ + dataset = copy.deepcopy(self) + dataset.set_format(type=type, columns=columns, output_all_columns=output_all_columns, **format_kwargs) + return dataset + + def with_transform( + self, + transform: Optional[Callable], + columns: Optional[list] = None, + output_all_columns: bool = False, + ): + """Set `__getitem__` return format using this transform. The transform is applied on-the-fly on batches when `__getitem__` is called. + + As [`~datasets.Dataset.set_format`], this can be reset using [`~datasets.Dataset.reset_format`]. + + Contrary to [`~datasets.Dataset.set_transform`], `with_transform` returns a new [`Dataset`] object. + + Args: + transform (`Callable`, `optional`): + User-defined formatting transform, replaces the format defined by [`~datasets.Dataset.set_format`]. + A formatting function is a callable that takes a batch (as a `dict`) as input and returns a batch. + This function is applied right before returning the objects in `__getitem__`. + columns (`List[str]`, `optional`): + Columns to format in the output. + If specified, then the input batch of the transform only contains those columns. + output_all_columns (`bool`, defaults to `False`): + Keep un-formatted columns as well in the output (as python objects). + If set to `True`, then the other un-formatted columns are kept with the output of the transform. + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + >>> def encode(example): + ... return tokenizer(example["text"], padding=True, truncation=True, return_tensors='pt') + >>> ds = ds.with_transform(encode) + >>> ds[0] + {'attention_mask': tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, + 1, 1, 1, 1, 1]), + 'input_ids': tensor([ 101, 18027, 16310, 16001, 1103, 9321, 178, 11604, 7235, 6617, + 1742, 2165, 2820, 1206, 6588, 22572, 12937, 1811, 2153, 1105, + 1147, 12890, 19587, 6463, 1105, 15026, 1482, 119, 102]), + 'token_type_ids': tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0])} + ``` + """ + dataset = copy.deepcopy(self) + dataset.set_transform(transform=transform, columns=columns, output_all_columns=output_all_columns) + return dataset + + def _getitem(self, key: Union[int, slice, str, ListLike[int]], **kwargs) -> Union[dict, list]: + """ + Can be used to index columns (by string names) or rows (by integer, slice, or list-like of integer indices) + """ + if isinstance(key, bool): + raise TypeError("dataset index must be int, str, slice or collection of int, not bool") + format_type = kwargs["format_type"] if "format_type" in kwargs else self._format_type + format_columns = kwargs["format_columns"] if "format_columns" in kwargs else self._format_columns + output_all_columns = ( + kwargs["output_all_columns"] if "output_all_columns" in kwargs else self._output_all_columns + ) + format_kwargs = kwargs["format_kwargs"] if "format_kwargs" in kwargs else self._format_kwargs + format_kwargs = format_kwargs if format_kwargs is not None else {} + formatter = get_formatter(format_type, features=self._info.features, **format_kwargs) + pa_subtable = query_table(self._data, key, indices=self._indices) + formatted_output = format_table( + pa_subtable, key, formatter=formatter, format_columns=format_columns, output_all_columns=output_all_columns + ) + return formatted_output + + @overload + def __getitem__(self, key: Union[int, slice, Iterable[int]]) -> dict: # noqa: F811 + ... + + @overload + def __getitem__(self, key: str) -> list: # noqa: F811 + ... + + def __getitem__(self, key): # noqa: F811 + """Can be used to index columns (by string names) or rows (by integer index or iterable of indices or bools).""" + return self._getitem(key) + + def __getitems__(self, keys: list) -> list: + """Can be used to get a batch using a list of integers indices.""" + batch = self.__getitem__(keys) + n_examples = len(batch[next(iter(batch))]) + return [{col: array[i] for col, array in batch.items()} for i in range(n_examples)] + + def cleanup_cache_files(self) -> int: + """Clean up all cache files in the dataset cache directory, excepted the currently used cache file if there is + one. + + Be careful when running this command that no other process is currently using other cache files. + + Returns: + `int`: Number of removed files. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.cleanup_cache_files() + 10 + ``` + """ + current_cache_files = [os.path.abspath(cache_file["filename"]) for cache_file in self.cache_files] + if not current_cache_files: + return 0 + cache_directory = os.path.dirname(current_cache_files[0]) + logger.info(f"Listing files in {cache_directory}") + files: list[str] = os.listdir(cache_directory) + files_to_remove = [] + for f_name in files: + full_name = os.path.abspath(os.path.join(cache_directory, f_name)) + if f_name.startswith("cache-") and f_name.endswith(".arrow"): + if full_name in current_cache_files: + logger.info(f"Keeping currently used cache file at {full_name}") + continue + files_to_remove.append(full_name) + for file_path in files_to_remove: + logger.info(f"Removing {file_path}") + os.remove(file_path) + return len(files_to_remove) + + def _get_cache_file_path(self, fingerprint): + if is_caching_enabled() and self.cache_files: + cache_file_name = "cache-" + fingerprint + ".arrow" + cache_directory = os.path.dirname(self.cache_files[0]["filename"]) + else: + cache_file_name = "cache-" + generate_random_fingerprint() + ".arrow" + cache_directory = get_temporary_cache_files_directory() + cache_file_path = os.path.join(cache_directory, cache_file_name) + return cache_file_path + + @transmit_format + def map( + self, + function: Optional[Callable] = None, + with_indices: bool = False, + with_rank: bool = False, + input_columns: Optional[Union[str, list[str]]] = None, + batched: bool = False, + batch_size: Optional[int] = 1000, + drop_last_batch: bool = False, + remove_columns: Optional[Union[str, list[str]]] = None, + keep_in_memory: bool = False, + load_from_cache_file: Optional[bool] = None, + cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + features: Optional[Features] = None, + disable_nullable: bool = False, + fn_kwargs: Optional[dict] = None, + num_proc: Optional[int] = None, + suffix_template: str = "_{rank:05d}_of_{num_proc:05d}", + new_fingerprint: Optional[str] = None, + desc: Optional[str] = None, + try_original_type: Optional[bool] = True, + ) -> "Dataset": + """ + Apply a function to all the examples in the table (individually or in batches) and update the table. + If your function returns a column that already exists, then it overwrites it. + + You can specify whether the function should be batched or not with the `batched` parameter: + + - If batched is `False`, then the function takes 1 example in and should return 1 example. + An example is a dictionary, e.g. `{"text": "Hello there !"}`. + - If batched is `True` and `batch_size` is 1, then the function takes a batch of 1 example as input and can return a batch with 1 or more examples. + A batch is a dictionary, e.g. a batch of 1 example is `{"text": ["Hello there !"]}`. + - If batched is `True` and `batch_size` is `n > 1`, then the function takes a batch of `n` examples as input and can return a batch with `n` examples, or with an arbitrary number of examples. + Note that the last batch may have less than `n` examples. + A batch is a dictionary, e.g. a batch of `n` examples is `{"text": ["Hello there !"] * n}`. + + If the function is asynchronous, then `map` will run your function in parallel, with up to one thousand simultaneous calls. + It is recommended to use a `asyncio.Semaphore` in your function if you want to set a maximum number of operations that can run at the same time. + + Args: + function (`Callable`): Function with one of the following signatures: + + - `function(example: Dict[str, Any]) -> Dict[str, Any]` if `batched=False` and `with_indices=False` and `with_rank=False` + - `function(example: Dict[str, Any], *extra_args) -> Dict[str, Any]` if `batched=False` and `with_indices=True` and/or `with_rank=True` (one extra arg for each) + - `function(batch: Dict[str, List]) -> Dict[str, List]` if `batched=True` and `with_indices=False` and `with_rank=False` + - `function(batch: Dict[str, List], *extra_args) -> Dict[str, List]` if `batched=True` and `with_indices=True` and/or `with_rank=True` (one extra arg for each) + + For advanced usage, the function can also return a `pyarrow.Table`. + If the function is asynchronous, then `map` will run your function in parallel. + Moreover if your function returns nothing (`None`), then `map` will run your function and return the dataset unchanged. + If no function is provided, default to identity function: `lambda x: x`. + with_indices (`bool`, defaults to `False`): + Provide example indices to `function`. Note that in this case the + signature of `function` should be `def function(example, idx[, rank]): ...`. + with_rank (`bool`, defaults to `False`): + Provide process rank to `function`. Note that in this case the + signature of `function` should be `def function(example[, idx], rank): ...`. + input_columns (`Optional[Union[str, List[str]]]`, defaults to `None`): + The columns to be passed into `function` + as positional arguments. If `None`, a `dict` mapping to all formatted columns is passed as one argument. + batched (`bool`, defaults to `False`): + Provide batch of examples to `function`. + batch_size (`int`, *optional*, defaults to `1000`): + Number of examples per batch provided to `function` if `batched=True`. + If `batch_size <= 0` or `batch_size == None`, provide the full dataset as a single batch to `function`. + drop_last_batch (`bool`, defaults to `False`): + Whether a last batch smaller than the batch_size should be + dropped instead of being processed by the function. + remove_columns (`Optional[Union[str, List[str]]]`, defaults to `None`): + Remove a selection of columns while doing the mapping. + Columns will be removed before updating the examples with the output of `function`, i.e. if `function` is adding + columns with names in `remove_columns`, these columns will be kept. + keep_in_memory (`bool`, defaults to `False`): + Keep the dataset in memory instead of writing it to a cache file. + load_from_cache_file (`Optional[bool]`, defaults to `True` if caching is enabled): + If a cache file storing the current computation from `function` + can be identified, use it instead of recomputing. + cache_file_name (`str`, *optional*, defaults to `None`): + Provide the name of a path for the cache file. It is used to store the + results of the computation instead of the automatically generated cache file name. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + features (`Optional[datasets.Features]`, defaults to `None`): + Use a specific Features to store the cache file + instead of the automatically generated one. + disable_nullable (`bool`, defaults to `False`): + Disallow null values in the table. + fn_kwargs (`Dict`, *optional*, defaults to `None`): + Keyword arguments to be passed to `function`. + num_proc (`int`, *optional*, defaults to `None`): + Max number of processes when generating cache. Already cached shards are loaded sequentially. + suffix_template (`str`): + If `cache_file_name` is specified, then this suffix + will be added at the end of the base name of each. Defaults to `"_{rank:05d}_of_{num_proc:05d}"`. For example, if `cache_file_name` is "processed.arrow", then for + `rank=1` and `num_proc=4`, the resulting file would be `"processed_00001_of_00004.arrow"` for the default suffix. + new_fingerprint (`str`, *optional*, defaults to `None`): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments. + desc (`str`, *optional*, defaults to `None`): + Meaningful description to be displayed alongside with the progress bar while mapping examples. + try_original_type (`Optional[bool]`, defaults to `True`): + Try to keep the types of the original columns (e.g. int32 -> int32). + Set to False if you want to always infer new types. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> def add_prefix(example): + ... example["text"] = "Review: " + example["text"] + ... return example + >>> ds = ds.map(add_prefix) + >>> ds[0:3]["text"] + ['Review: compassionately explores the seemingly irreconcilable situation between conservative christian parents and their estranged gay and lesbian children .', + 'Review: the soundtrack alone is worth the price of admission .', + 'Review: rodriguez does a splendid job of racial profiling hollywood style--casting excellent latin actors of all ages--a trend long overdue .'] + + # process a batch of examples + >>> ds = ds.map(lambda example: tokenizer(example["text"]), batched=True) + # set number of processors + >>> ds = ds.map(add_prefix, num_proc=4) + ``` + """ + if keep_in_memory and cache_file_name is not None: + raise ValueError("Please use either `keep_in_memory` or `cache_file_name` but not both.") + + if num_proc is not None and num_proc <= 0: + raise ValueError("num_proc must be an integer > 0.") + + # If the array is empty we do nothing (but we make sure to handle an empty indices mapping and remove the requested columns anyway) + if len(self) == 0: + if self._indices is not None: # empty indices mapping + self = Dataset( + self.data.slice(0, 0), + info=self.info.copy(), + split=self.split, + fingerprint=new_fingerprint, + ) + if remove_columns: + return self.remove_columns(remove_columns) + else: + return self + + if function is None: + function = lambda x: x # noqa: E731 + + if isinstance(input_columns, str): + input_columns = [input_columns] + + if input_columns is not None: + missing_columns = set(input_columns) - set(self._data.column_names) + if missing_columns: + raise ValueError( + f"Input column {list(missing_columns)} not in the dataset. Current columns in the dataset: {self._data.column_names}" + ) + + if isinstance(remove_columns, str): + remove_columns = [remove_columns] + + if remove_columns is not None: + missing_columns = set(remove_columns) - set(self._data.column_names) + if missing_columns: + raise ValueError( + f"Column to remove {list(missing_columns)} not in the dataset. Current columns in the dataset: {self._data.column_names}" + ) + + load_from_cache_file = load_from_cache_file if load_from_cache_file is not None else is_caching_enabled() + + if fn_kwargs is None: + fn_kwargs = {} + + if num_proc is not None and num_proc > len(self): + num_proc = len(self) + logger.warning( + f"num_proc must be <= {len(self)}. Reducing num_proc to {num_proc} for dataset of size {len(self)}." + ) + + dataset_kwargs = { + "shard": self, + "function": function, + "with_indices": with_indices, + "with_rank": with_rank, + "input_columns": input_columns, + "batched": batched, + "batch_size": batch_size, + "drop_last_batch": drop_last_batch, + "remove_columns": remove_columns, + "keep_in_memory": keep_in_memory, + "writer_batch_size": writer_batch_size, + "features": features, + "disable_nullable": disable_nullable, + "fn_kwargs": fn_kwargs, + "try_original_type": try_original_type, + } + + if new_fingerprint is None: + # we create a unique hash from the function, + # current dataset file and the mapping args + transform = format_transform_for_fingerprint(Dataset._map_single) + kwargs_for_fingerprint = format_kwargs_for_fingerprint(Dataset._map_single, (), dataset_kwargs) + kwargs_for_fingerprint["fingerprint_name"] = "new_fingerprint" + new_fingerprint = update_fingerprint(self._fingerprint, transform, kwargs_for_fingerprint) + else: + validate_fingerprint(new_fingerprint) + dataset_kwargs["new_fingerprint"] = new_fingerprint + + if self.cache_files: + if cache_file_name is None: + cache_file_name = self._get_cache_file_path(new_fingerprint) + dataset_kwargs["cache_file_name"] = cache_file_name + + def load_processed_shard_from_cache(shard_kwargs): + """Load a processed shard from cache if it exists, otherwise throw an error.""" + shard = shard_kwargs["shard"] + # Check if we've already cached this computation (indexed by a hash) + if shard_kwargs["cache_file_name"] is not None: + if os.path.exists(shard_kwargs["cache_file_name"]) and load_from_cache_file: + info = shard.info.copy() + info.features = features + return Dataset.from_file(shard_kwargs["cache_file_name"], info=info, split=shard.split) + raise NonExistentDatasetError + + num_shards = num_proc if num_proc is not None else 1 + if batched and drop_last_batch: + pbar_total = len(self) // num_shards // batch_size * num_shards * batch_size + else: + pbar_total = len(self) + + shards_done = 0 + if num_proc is None or num_proc == 1: + transformed_dataset = None + try: + transformed_dataset = load_processed_shard_from_cache(dataset_kwargs) + logger.info(f"Loading cached processed dataset at {dataset_kwargs['cache_file_name']}") + except NonExistentDatasetError: + pass + if transformed_dataset is None: + with hf_tqdm( + unit=" examples", + total=pbar_total, + desc=desc or "Map", + ) as pbar: + for rank, done, content in Dataset._map_single(**dataset_kwargs): + if done: + shards_done += 1 + logger.debug(f"Finished processing shard number {rank} of {num_shards}.") + transformed_dataset = content + else: + pbar.update(content) + assert transformed_dataset is not None, "Failed to retrieve the result from map" + # update fingerprint if the dataset changed + if transformed_dataset._fingerprint != self._fingerprint: + transformed_dataset._fingerprint = new_fingerprint + return transformed_dataset + else: + + def format_cache_file_name( + cache_file_name: Optional[str], + rank: Union[int, Literal["*"]], # noqa: F722 + ) -> Optional[str]: + if not cache_file_name: + return cache_file_name + sep = cache_file_name.rindex(".") + base_name, extension = cache_file_name[:sep], cache_file_name[sep:] + if isinstance(rank, int): + cache_file_name = base_name + suffix_template.format(rank=rank, num_proc=num_proc) + extension + logger.info(f"Process #{rank} will write at {cache_file_name}") + else: + cache_file_name = ( + base_name + + suffix_template.replace("{rank:05d}", "{rank}").format(rank=rank, num_proc=num_proc) + + extension + ) + return cache_file_name + + def format_new_fingerprint(new_fingerprint: str, rank: int) -> str: + new_fingerprint = new_fingerprint + suffix_template.format(rank=rank, num_proc=num_proc) + validate_fingerprint(new_fingerprint) + return new_fingerprint + + prev_env = deepcopy(os.environ) + # check if parallelism if off + # from https://github.com/huggingface/tokenizers/blob/bb668bc439dc34389b71dbb8ce0c597f15707b53/tokenizers/src/utils/parallelism.rs#L22 + if prev_env.get("TOKENIZERS_PARALLELISM", "false").lower() not in ( + "", + "off", + "false", + "f", + "no", + "n", + "0", + ): + logger.warning("Setting TOKENIZERS_PARALLELISM=false for forked processes.") + os.environ["TOKENIZERS_PARALLELISM"] = "false" + shards = [ + self.shard(num_shards=num_proc, index=rank, contiguous=True, keep_in_memory=keep_in_memory) + for rank in range(num_proc) + ] + kwargs_per_job = [ + { + **dataset_kwargs, + "shard": shards[rank], + "cache_file_name": format_cache_file_name(cache_file_name, rank), + "rank": rank, + "offset": sum(len(s) for s in shards[:rank]), + "new_fingerprint": format_new_fingerprint(new_fingerprint, rank), + } + for rank in range(num_shards) + ] + + transformed_shards = [None] * num_shards + for rank in range(num_shards): + try: + transformed_shards[rank] = load_processed_shard_from_cache(kwargs_per_job[rank]) + kwargs_per_job[rank] = None + except NonExistentDatasetError: + pass + + kwargs_per_job = [kwargs for kwargs in kwargs_per_job if kwargs is not None] + + # We try to create a pool with as many workers as dataset not yet cached. + if kwargs_per_job: + if len(kwargs_per_job) < num_shards: + logger.info( + f"Reprocessing {len(kwargs_per_job)}/{num_shards} shards because some of them were missing from the cache." + ) + with Pool(len(kwargs_per_job)) as pool: + os.environ = prev_env + logger.info(f"Spawning {num_proc} processes") + with hf_tqdm( + unit=" examples", + total=pbar_total, + desc=(desc or "Map") + f" (num_proc={num_proc})", + ) as pbar: + for rank, done, content in iflatmap_unordered( + pool, Dataset._map_single, kwargs_iterable=kwargs_per_job + ): + if done: + shards_done += 1 + logger.debug(f"Finished processing shard number {rank} of {num_shards}.") + transformed_shards[rank] = content + else: + pbar.update(content) + pool.close() + pool.join() + # Avoids PermissionError on Windows (the error: https://github.com/huggingface/datasets/actions/runs/4026734820/jobs/6921621805) + for kwargs in kwargs_per_job: + del kwargs["shard"] + else: + logger.info(f"Loading cached processed dataset at {format_cache_file_name(cache_file_name, '*')}") + if None in transformed_shards: + raise ValueError( + f"Failed to retrieve results from map: result list {transformed_shards} still contains None - at " + "least one worker failed to return its results" + ) + logger.info(f"Concatenating {num_proc} shards") + result = _concatenate_map_style_datasets(transformed_shards) + # update fingerprint if the dataset changed + if any( + transformed_shard._fingerprint != shard._fingerprint + for transformed_shard, shard in zip(transformed_shards, shards) + ): + result._fingerprint = new_fingerprint + else: + result._fingerprint = self._fingerprint + return result + + @staticmethod + def _map_single( + shard: "Dataset", + function: Optional[Callable] = None, + with_indices: bool = False, + with_rank: bool = False, + input_columns: Optional[list[str]] = None, + batched: bool = False, + batch_size: Optional[int] = 1000, + drop_last_batch: bool = False, + remove_columns: Optional[list[str]] = None, + keep_in_memory: bool = False, + cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + features: Optional[Features] = None, + disable_nullable: bool = False, + fn_kwargs: Optional[dict] = None, + new_fingerprint: Optional[str] = None, + rank: Optional[int] = None, + offset: int = 0, + try_original_type: Optional[bool] = True, + ) -> Iterable[tuple[int, bool, Union[int, "Dataset"]]]: + """Apply a function to all the elements in the table (individually or in batches) + and update the table (if function does update examples). + + Args: + shard (`datasets.Dataset`): Dataset to map the transform on. + function (`Callable`): with one of the following signature: + - `function(example: Dict[str, Any]) -> Dict[str, Any]` if `batched=False` and `with_indices=False` and `with_rank=False` + - `function(example: Dict[str, Any], *extra_args) -> Dict[str, Any]` if `batched=False` and `with_indices=True` and/or `with_rank=True` (one extra arg for each) + - `function(batch: Dict[str, List]) -> Dict[str, List]` if `batched=True` and `with_indices=False` and `with_rank=False` + - `function(batch: Dict[str, List], *extra_args) -> Dict[str, List]` if `batched=True` and `with_indices=True` and/or `with_rank=True` (one extra arg for each) + + For advanced usage, the function can also return a `pyarrow.Table`. + Moreover if your function returns nothing (`None`), then `map` will run your function and return the dataset unchanged. + If no function is provided, default to identity function: lambda x: x + with_indices (`bool`, defaults to `False`): Provide example indices to `function`. Note that in this case the signature of `function` should be `def function(example, idx[, rank]): ...`. + with_rank (`bool`, default `False`): Provide process rank to `function`. Note that in this case the signature of `function` should be `def function(example[, idx], rank): ...`. + input_columns (`Optional[List[str]]`, defaults to `None`): The columns to be passed into `function` as + positional arguments. If `None`, a dict mapping to all formatted columns is passed as one argument. + batched (`bool`, defaults to `False`): Provide batch of examples to `function` + batch_size (`int`, optional, defaults to `1000`): Number of examples per batch provided to `function` if `batched=True` + `batch_size <= 0` or `batch_size == None`: Provide the full dataset as a single batch to `function` + drop_last_batch (`bool`, default: `False`): Whether a last batch smaller than the batch_size should be + dropped instead of being processed by the function. + remove_columns (`Optional[List[str]]`, defaults to `None`): Remove a selection of columns while doing the mapping. + Columns will be removed before updating the examples with the output of `function`, i.e. if `function` is adding + columns with names in `remove_columns`, these columns will be kept. + keep_in_memory (`bool`, defaults to `False`): Keep the dataset in memory instead of writing it to a cache file. + cache_file_name (`str`, optional, defaults to `None`): Provide the name of a path for the cache file. It is used to store the + results of the computation instead of the automatically generated cache file name. + writer_batch_size (`int`, default `1000`): Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `.map()`. + features (`Optional[datasets.Features]`, defaults to `None`): Use a specific Features to store the cache file + instead of the automatically generated one. + disable_nullable (`bool`, defaults to `False`): Disallow null values in the table. + fn_kwargs (`Dict`, optional, defaults to `None`): Keyword arguments to be passed to `function` + new_fingerprint (`str`, optional, defaults to `None`): the new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments + rank: (`int`, optional, defaults to `None`): If specified, this is the process rank when doing multiprocessing + offset: (`int`, defaults to 0): If specified, this is an offset applied to the indices passed to `function` if `with_indices=True`. + try_original_type: (`Optional[bool]`, defaults to `True`): + Try to keep the types of the original columns (e.g. int32 -> int32). + Set to False if you want to always infer new types. + """ + if fn_kwargs is None: + fn_kwargs = {} + + # If we do batch computation but no batch size is provided, default to the full dataset + if batched and (batch_size is None or batch_size <= 0): + batch_size = shard.num_rows + + # We set this variable to True after processing the first example/batch in + # `apply_function_on_filtered_inputs` if the map function returns a dict. + # If set to False, no new arrow table will be created + + update_data = None + + format_kwargs = shard._format_kwargs.copy() + # Lazy formatting is only available for the default format (None/python) + if not input_columns and shard._format_type is None: + format_kwargs["lazy"] = True + input_formatter = get_formatter( + shard._format_type, + features=shard.features, + **format_kwargs, + ) + + check_same_num_examples = batched and len(shard.list_indexes()) > 0 + + def validate_function_output(processed_inputs): + """Validate output of the map function.""" + allowed_processed_inputs_types = (Mapping, pa.Table, pd.DataFrame) + if config.POLARS_AVAILABLE and "polars" in sys.modules: + import polars as pl + + allowed_processed_inputs_types += (pl.DataFrame,) + if processed_inputs is not None and not isinstance(processed_inputs, allowed_processed_inputs_types): + raise TypeError( + f"Provided `function` which is applied to all elements of table returns a variable of type {type(processed_inputs)}. Make sure provided `function` returns a variable of type `dict` (or a pyarrow table) to update the dataset or `None` if you are only interested in side effects." + ) + if batched and isinstance(processed_inputs, Mapping): + allowed_batch_return_types = (list, np.ndarray, pd.Series) + if config.POLARS_AVAILABLE and "polars" in sys.modules: + import polars as pl + + allowed_batch_return_types += (pl.Series, pl.DataFrame) + if config.TF_AVAILABLE and "tensorflow" in sys.modules: + import tensorflow as tf + + allowed_batch_return_types += (tf.Tensor,) + if config.TORCH_AVAILABLE and "torch" in sys.modules: + import torch + + allowed_batch_return_types += (torch.Tensor,) + if config.JAX_AVAILABLE and "jax" in sys.modules: + import jax.numpy as jnp + + allowed_batch_return_types += (jnp.ndarray,) + all_dict_values_are_lists = all( + isinstance(value, allowed_batch_return_types) for value in processed_inputs.values() + ) + if all_dict_values_are_lists is False: + raise TypeError( + f"Provided `function` which is applied to all elements of table returns a `dict` of types {[type(x) for x in processed_inputs.values()]}. When using `batched=True`, make sure provided `function` returns a `dict` of types like `{allowed_batch_return_types}`." + ) + + def prepare_inputs(pa_inputs, indices, offset=0): + """Utility to apply the function on a selection of columns.""" + inputs = format_table( + pa_inputs, + 0 if not batched else range(pa_inputs.num_rows), + format_columns=input_columns, + formatter=input_formatter, + ) + fn_args = [inputs] if input_columns is None else [inputs[col] for col in input_columns] + if offset == 0: + effective_indices = indices + else: + effective_indices = [i + offset for i in indices] if isinstance(indices, list) else indices + offset + additional_args = () + if with_indices: + additional_args += (effective_indices,) + if with_rank: + additional_args += (rank,) + return inputs, fn_args, additional_args, fn_kwargs + + def prepare_outputs(pa_inputs, inputs, processed_inputs): + nonlocal update_data + if not (update_data := (processed_inputs is not None)): + return None + if isinstance(processed_inputs, LazyDict): + processed_inputs = { + k: v for k, v in processed_inputs.data.items() if k not in processed_inputs.keys_to_format + } + returned_lazy_dict = True + else: + returned_lazy_dict = False + validate_function_output(processed_inputs) + if shard._format_type or input_columns: + # TODO(QL, MS): ideally the behavior should be the same even if the dataset is formatted (may require major release) + inputs_to_merge = dict(zip(pa_inputs.column_names, pa_inputs.itercolumns())) + elif isinstance(inputs, LazyDict): + inputs_to_merge = { + k: (v if k not in inputs.keys_to_format else pa_inputs[k]) for k, v in inputs.data.items() + } + else: + inputs_to_merge = inputs + if remove_columns is not None: + for column in remove_columns: + # `function` can modify input in-place causing column to be already removed. + if column in inputs_to_merge: + inputs_to_merge.pop(column) + if returned_lazy_dict and column in processed_inputs: + processed_inputs.pop(column) + if check_same_num_examples: + input_num_examples = len(pa_inputs) + processed_inputs_num_examples = len(processed_inputs[next(iter(processed_inputs.keys()))]) + if input_num_examples != processed_inputs_num_examples: + raise DatasetTransformationNotAllowedError( + "Using `.map` in batched mode on a dataset with attached indexes is allowed only if it doesn't create or remove existing examples. You can first run `.drop_index() to remove your index and then re-add it." + ) from None + if isinstance(inputs, Mapping) and isinstance(processed_inputs, Mapping): + # The .map() transform *updates* the dataset: + # the output dictionary contains both the the input data and the output data. + # The output dictionary may contain Arrow values from `inputs_to_merge` so that we can re-write them efficiently. + return {**inputs_to_merge, **processed_inputs} + else: + return processed_inputs + + def apply_function(pa_inputs, indices, offset=0): + """Utility to apply the function on a selection of columns.""" + inputs, fn_args, additional_args, fn_kwargs = prepare_inputs(pa_inputs, indices, offset=offset) + processed_inputs = function(*fn_args, *additional_args, **fn_kwargs) + return prepare_outputs(pa_inputs, inputs, processed_inputs) + + async def async_apply_function(pa_inputs, indices, offset=0): + """Utility to apply the function on a selection of columns. Same code but async""" + inputs, fn_args, additional_args, fn_kwargs = prepare_inputs(pa_inputs, indices, offset=offset) + processed_inputs = await function(*fn_args, *additional_args, **fn_kwargs) + return prepare_outputs(pa_inputs, inputs, processed_inputs) + + def init_buffer_and_writer(): + # Prepare output buffer and batched writer in memory or on file if we update the table + writer_features = features + if writer_features is None: + writer_features = shard.features + update_features = True + else: + update_features = False + if keep_in_memory or cache_file_name is None: + buf_writer = pa.BufferOutputStream() + tmp_file = None + writer = ArrowWriter( + features=writer_features, + stream=buf_writer, + writer_batch_size=writer_batch_size, + update_features=update_features, + fingerprint=new_fingerprint, + disable_nullable=disable_nullable, + ) + else: + buf_writer = None + logger.info(f"Caching processed dataset at {cache_file_name}") + cache_dir = os.path.dirname(cache_file_name) + os.makedirs(cache_dir, exist_ok=True) + tmp_file = tempfile.NamedTemporaryFile("wb", dir=cache_dir, delete=False) + writer = ArrowWriter( + features=writer_features, + path=tmp_file.name, + writer_batch_size=writer_batch_size, + update_features=update_features, + fingerprint=new_fingerprint, + disable_nullable=disable_nullable, + ) + return buf_writer, writer, tmp_file + + tasks: list[asyncio.Task] = [] + if inspect.iscoroutinefunction(function): + try: + loop = asyncio.get_running_loop() + except RuntimeError: + loop = asyncio.new_event_loop() + else: + loop = None + + def iter_outputs(shard_iterable): + nonlocal tasks, loop + if inspect.iscoroutinefunction(function): + indices: Union[list[int], list[list[int]]] = [] + for i, example in shard_iterable: + indices.append(i) + tasks.append(loop.create_task(async_apply_function(example, i, offset=offset))) + # keep the total active tasks under a certain number + if len(tasks) >= config.MAX_NUM_RUNNING_ASYNC_MAP_FUNCTIONS_IN_PARALLEL: + done, pending = loop.run_until_complete( + asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED) + ) + while tasks and len(pending) >= config.MAX_NUM_RUNNING_ASYNC_MAP_FUNCTIONS_IN_PARALLEL: + done, pending = loop.run_until_complete( + asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED) + ) + # yield finished tasks + while tasks and tasks[0].done(): + yield indices.pop(0), tasks.pop(0).result() + while tasks: + yield indices[0], loop.run_until_complete(tasks[0]) + indices.pop(0), tasks.pop(0) + else: + for i, example in shard_iterable: + yield i, apply_function(example, i, offset=offset) + + num_examples_progress_update = 0 + # If `update_data` is True after processing the first example/batch, initialize these resources with `init_buffer_and_writer` + buf_writer, writer, tmp_file = None, None, None + + # Check if Polars is available and import it if so + if config.POLARS_AVAILABLE and "polars" in sys.modules: + import polars as pl + + # Optionally initialize the writer as a context manager + with contextlib.ExitStack() as stack: + try: + arrow_formatted_shard = shard.with_format("arrow") + + # Loop over single examples or batches and write to buffer/file if examples are to be updated + if not batched: + shard_iterable = enumerate(arrow_formatted_shard) + else: + num_rows = len(shard) if not drop_last_batch else len(shard) // batch_size * batch_size + shard_iterable = zip( + (list(range(i, min(i + batch_size, num_rows))) for i in range(0, num_rows, batch_size)), + arrow_formatted_shard.iter(batch_size, drop_last_batch=drop_last_batch), + ) + if not batched: + _time = time.time() + for i, example in iter_outputs(shard_iterable): + if update_data: + if i == 0: + buf_writer, writer, tmp_file = init_buffer_and_writer() + stack.enter_context(writer) + if isinstance(example, pa.Table): + writer.write_row(example) + elif isinstance(example, pd.DataFrame): + writer.write_row(pa.Table.from_pandas(example)) + elif ( + config.POLARS_AVAILABLE + and "polars" in sys.modules + and isinstance(example, pl.DataFrame) + ): + writer.write_row(example.to_arrow()) + else: + writer.write(example) + num_examples_progress_update += 1 + if time.time() > _time + config.PBAR_REFRESH_TIME_INTERVAL: + _time = time.time() + yield rank, False, num_examples_progress_update + num_examples_progress_update = 0 + else: + _time = time.time() + for i, batch in iter_outputs(shard_iterable): + num_examples_in_batch = len(i) + if update_data: + if i and i[0] == 0: + buf_writer, writer, tmp_file = init_buffer_and_writer() + stack.enter_context(writer) + if isinstance(batch, pa.Table): + writer.write_table(batch) + elif isinstance(batch, pd.DataFrame): + writer.write_table(pa.Table.from_pandas(batch)) + elif ( + config.POLARS_AVAILABLE and "polars" in sys.modules and isinstance(batch, pl.DataFrame) + ): + writer.write_table(batch.to_arrow()) + else: + writer.write_batch(batch, try_original_type=try_original_type) + num_examples_progress_update += num_examples_in_batch + if time.time() > _time + config.PBAR_REFRESH_TIME_INTERVAL: + _time = time.time() + yield rank, False, num_examples_progress_update + num_examples_progress_update = 0 + if update_data and writer is not None: + writer.finalize() # close_stream=bool(buf_writer is None)) # We only close if we are writing in a file + except (Exception, KeyboardInterrupt): + yield rank, False, num_examples_progress_update + if update_data: + if writer is not None: + writer.finalize() + if tmp_file is not None: + tmp_file.close() + if os.path.exists(tmp_file.name): + os.remove(tmp_file.name) + if loop: + logger.debug(f"Canceling {len(tasks)} async tasks.") + for task in tasks: + task.cancel(msg="KeyboardInterrupt") + try: + loop.run_until_complete(asyncio.gather(*tasks)) + except (asyncio.CancelledError, ValueError): + logger.debug("Tasks canceled.") + raise + + yield rank, False, num_examples_progress_update + if update_data and tmp_file is not None: + tmp_file.close() + shutil.move(tmp_file.name, cache_file_name) + umask = os.umask(0o666) + os.umask(umask) + os.chmod(cache_file_name, 0o666 & ~umask) + + if update_data: + # Create new Dataset from buffer or file + info = shard.info.copy() + info.features = writer._features + if buf_writer is None: + yield rank, True, Dataset.from_file(cache_file_name, info=info, split=shard.split) + else: + yield rank, True, Dataset.from_buffer(buf_writer.getvalue(), info=info, split=shard.split) + else: + yield rank, True, shard + + @transmit_format + @fingerprint_transform(inplace=False) + def batch( + self, + batch_size: int, + drop_last_batch: bool = False, + num_proc: Optional[int] = None, + new_fingerprint: Optional[str] = None, + ) -> "Dataset": + """ + Group samples from the dataset into batches. + + Args: + batch_size (`int`): + The number of samples in each batch. + drop_last_batch (`bool`, defaults to `False`): + Whether to drop the last incomplete batch. + num_proc (`int`, *optional*, defaults to `None`): + Max number of processes when generating cache. Already cached shards are loaded sequentially. + new_fingerprint (`str`, *optional*, defaults to `None`): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments. + + Returns: + [`Dataset`]: A new Dataset where each item is a batch of multiple samples from the original dataset. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train") + >>> batched_ds = ds.batch(batch_size=4) + >>> batched_ds[0] + {'text': ['compassionately explores the seemingly irreconcilable situation...', ...], # 4 items + 'label': [1, 1, 1, 1]} + ``` + """ + + def batch_fn(example): + return {k: [v] for k, v in example.items()} + + return self.map( + batch_fn, + batched=True, + batch_size=batch_size, + drop_last_batch=drop_last_batch, + num_proc=num_proc, + new_fingerprint=new_fingerprint, + desc="Batching examples", + ) + + @transmit_format + @fingerprint_transform( + inplace=False, ignore_kwargs=["load_from_cache_file", "cache_file_name", "desc"], version="2.0.1" + ) + def filter( + self, + function: Optional[Callable] = None, + with_indices: bool = False, + with_rank: bool = False, + input_columns: Optional[Union[str, list[str]]] = None, + batched: bool = False, + batch_size: Optional[int] = 1000, + keep_in_memory: bool = False, + load_from_cache_file: Optional[bool] = None, + cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + fn_kwargs: Optional[dict] = None, + num_proc: Optional[int] = None, + suffix_template: str = "_{rank:05d}_of_{num_proc:05d}", + new_fingerprint: Optional[str] = None, + desc: Optional[str] = None, + ) -> "Dataset": + """Apply a filter function to all the elements in the table in batches + and update the table so that the dataset only includes examples according to the filter function. + + If the function is asynchronous, then `filter` will run your function in parallel, with up to one thousand simultaneous calls (configurable). + It is recommended to use a `asyncio.Semaphore` in your function if you want to set a maximum number of operations that can run at the same time. + + Args: + function (`Callable`): Callable with one of the following signatures: + + - `function(example: Dict[str, Any]) -> bool` if `batched=False` and `with_indices=False` and `with_rank=False` + - `function(example: Dict[str, Any], *extra_args) -> bool` if `batched=False` and `with_indices=True` and/or `with_rank=True` (one extra arg for each) + - `function(batch: Dict[str, List]) -> List[bool]` if `batched=True` and `with_indices=False` and `with_rank=False` + - `function(batch: Dict[str, List], *extra_args) -> List[bool]` if `batched=True` and `with_indices=True` and/or `with_rank=True` (one extra arg for each) + + If the function is asynchronous, then `filter` will run your function in parallel. + If no function is provided, defaults to an always `True` function: `lambda x: True`. + with_indices (`bool`, defaults to `False`): + Provide example indices to `function`. Note that in this case the + signature of `function` should be `def function(example, idx[, rank]): ...`. + with_rank (`bool`, defaults to `False`): + Provide process rank to `function`. Note that in this case the + signature of `function` should be `def function(example[, idx], rank): ...`. + input_columns (`str` or `List[str]`, *optional*): + The columns to be passed into `function` as + positional arguments. If `None`, a `dict` mapping to all formatted columns is passed as one argument. + batched (`bool`, defaults to `False`): + Provide batch of examples to `function`. + batch_size (`int`, *optional*, defaults to `1000`): + Number of examples per batch provided to `function` if + `batched = True`. If `batched = False`, one example per batch is passed to `function`. + If `batch_size <= 0` or `batch_size == None`, provide the full dataset as a single batch to `function`. + keep_in_memory (`bool`, defaults to `False`): + Keep the dataset in memory instead of writing it to a cache file. + load_from_cache_file (`Optional[bool]`, defaults to `True` if caching is enabled): + If a cache file storing the current computation from `function` + can be identified, use it instead of recomputing. + cache_file_name (`str`, *optional*): + Provide the name of a path for the cache file. It is used to store the + results of the computation instead of the automatically generated cache file name. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + fn_kwargs (`dict`, *optional*): + Keyword arguments to be passed to `function`. + num_proc (`int`, *optional*): + Number of processes for multiprocessing. By default it doesn't + use multiprocessing. + suffix_template (`str`): + If `cache_file_name` is specified, then this suffix will be added at the end of the base name of each. + For example, if `cache_file_name` is `"processed.arrow"`, then for `rank = 1` and `num_proc = 4`, + the resulting file would be `"processed_00001_of_00004.arrow"` for the default suffix (default + `_{rank:05d}_of_{num_proc:05d}`). + new_fingerprint (`str`, *optional*): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments. + desc (`str`, *optional*, defaults to `None`): + Meaningful description to be displayed alongside with the progress bar while filtering examples. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.filter(lambda x: x["label"] == 1) + Dataset({ + features: ['text', 'label'], + num_rows: 533 + }) + ``` + """ + if len(self.list_indexes()) > 0: + raise DatasetTransformationNotAllowedError( + "Using `.filter` on a dataset with attached indexes is not allowed. You can first run `.drop_index() to remove your index and then re-add it.`" + ) + + if function is None: + function = lambda x: True # noqa: E731 + + if len(self) == 0: + return self + + # We generally batch the underlying map() to get faster throughput, + # but in case of async we force batch_size=1 to enable parallelism + if inspect.iscoroutinefunction(function) and not batched: + batch_size = 1 + + indices = self.map( + function=partial( + async_get_indices_from_mask_function + if inspect.iscoroutinefunction(function) + else get_indices_from_mask_function, + function, + batched, + with_indices, + with_rank, + input_columns, + self._indices, + ), + with_indices=True, + with_rank=True, + features=Features({"indices": Value("uint64")}), + batched=True, + batch_size=batch_size, + remove_columns=self.column_names, + keep_in_memory=keep_in_memory, + load_from_cache_file=load_from_cache_file, + cache_file_name=cache_file_name, + writer_batch_size=writer_batch_size, + fn_kwargs=fn_kwargs, + num_proc=num_proc, + suffix_template=suffix_template, + new_fingerprint=new_fingerprint, + input_columns=input_columns, + desc=desc or "Filter", + ) + new_dataset = copy.deepcopy(self) + new_dataset._indices = indices.data + new_dataset._fingerprint = new_fingerprint + return new_dataset + + @transmit_format + @fingerprint_transform(inplace=False, ignore_kwargs=["cache_file_name"]) + def flatten_indices( + self, + keep_in_memory: bool = False, + cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + features: Optional[Features] = None, + disable_nullable: bool = False, + num_proc: Optional[int] = None, + new_fingerprint: Optional[str] = None, + ) -> "Dataset": + """Create and cache a new Dataset by flattening the indices mapping. + + Args: + keep_in_memory (`bool`, defaults to `False`): + Keep the dataset in memory instead of writing it to a cache file. + cache_file_name (`str`, *optional*, default `None`): + Provide the name of a path for the cache file. It is used to store the + results of the computation instead of the automatically generated cache file name. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + features (`Optional[datasets.Features]`, defaults to `None`): + Use a specific [`Features`] to store the cache file + instead of the automatically generated one. + disable_nullable (`bool`, defaults to `False`): + Allow null values in the table. + num_proc (`int`, optional, default `None`): + Max number of processes when generating cache. Already cached shards are loaded sequentially + new_fingerprint (`str`, *optional*, defaults to `None`): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments + """ + + return self.map( + batched=True, # for speed + keep_in_memory=keep_in_memory, + cache_file_name=cache_file_name, + writer_batch_size=writer_batch_size, + features=features, + disable_nullable=disable_nullable, + new_fingerprint=new_fingerprint, + desc="Flattening the indices", + num_proc=num_proc, + ) + + def _new_dataset_with_indices( + self, + indices_cache_file_name: Optional[str] = None, + indices_buffer: Optional[pa.Buffer] = None, + fingerprint: Optional[str] = None, + ) -> "Dataset": + """Return a new Dataset obtained by adding indices (provided in indices_cache_file_name or in a buffer) to the + current Dataset. + """ + + if indices_cache_file_name is None and indices_buffer is None: + raise ValueError("At least one of indices_cache_file_name or indices_buffer must be provided.") + + if fingerprint is None: + raise ValueError("please specify a fingerprint for the dataset with indices") + + if indices_cache_file_name is not None: + indices_table = MemoryMappedTable.from_file(indices_cache_file_name) + else: + indices_table = InMemoryTable.from_buffer(indices_buffer) + + # Return new Dataset object + # don't forget to copy the objects + return Dataset( + self._data, + info=self.info.copy(), + split=self.split, + indices_table=indices_table, + fingerprint=fingerprint, + ) + + @transmit_format + @fingerprint_transform(inplace=False, ignore_kwargs=["indices_cache_file_name"]) + def select( + self, + indices: Iterable, + keep_in_memory: bool = False, + indices_cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + new_fingerprint: Optional[str] = None, + ) -> "Dataset": + """Create a new dataset with rows selected following the list/array of indices. + + Args: + indices (`range`, `list`, `iterable`, `ndarray` or `Series`): + Range, list or 1D-array of integer indices for indexing. + If the indices correspond to a contiguous range, the Arrow table is simply sliced. + However passing a list of indices that are not contiguous creates indices mapping, which is much less efficient, + but still faster than recreating an Arrow table made of the requested rows. + keep_in_memory (`bool`, defaults to `False`): + Keep the indices mapping in memory instead of writing it to a cache file. + indices_cache_file_name (`str`, *optional*, defaults to `None`): + Provide the name of a path for the cache file. It is used to store the + indices mapping instead of the automatically generated cache file name. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + new_fingerprint (`str`, *optional*, defaults to `None`): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.select(range(4)) + Dataset({ + features: ['text', 'label'], + num_rows: 4 + }) + ``` + """ + if keep_in_memory and indices_cache_file_name is not None: + raise ValueError("Please use either `keep_in_memory` or `indices_cache_file_name` but not both.") + + if len(self.list_indexes()) > 0: + raise DatasetTransformationNotAllowedError( + "Using `.select` on a dataset with attached indexes is not allowed. You can first run `.drop_index() to remove your index and then re-add it." + ) + + # If the array is empty we do nothing + if len(self) == 0: + return self + + # If indices is a PyArrow array, we convert to NumPy + if isinstance(indices, (pa.Array, pa.ChunkedArray)): + indices = indices.to_numpy().astype(np.int64) + + # Convert generator objects to lists + if isinstance(indices, Iterator): + indices = list(indices) + + # If the indices are contiguous, simply slice the arrow table + if isinstance(indices, range): + if _is_range_contiguous(indices) and indices.start >= 0: + start, length = indices.start, indices.stop - indices.start + return self._select_contiguous(start, length, new_fingerprint=new_fingerprint) + else: + try: + start = next(iter(indices)) + except StopIteration: + # if `indices` is an empty iterable, we return an empty dataset + return self._select_contiguous(0, 0, new_fingerprint=new_fingerprint) + if start >= 0: + counter_from_start = itertools.count(start=start) + if all(i == j for i, j in zip(indices, counter_from_start)): + length = next(counter_from_start) - start + return self._select_contiguous(start, length, new_fingerprint=new_fingerprint) + + # If not contiguous, we need to create a new indices mapping + return self._select_with_indices_mapping( + indices, + keep_in_memory=keep_in_memory, + indices_cache_file_name=indices_cache_file_name, + writer_batch_size=writer_batch_size, + new_fingerprint=new_fingerprint, + ) + + @transmit_format + @fingerprint_transform(inplace=False) + def _select_contiguous( + self, + start: int, + length: int, + new_fingerprint: Optional[str] = None, + ) -> "Dataset": + """Create a new dataset with rows from a contiguous slice of data. + The slice is defined by that start index and its length. + + Args: + start (`int`): start index. + length (`int`): length of the slice to select. + new_fingerprint (`str`, optional, default `None`): the new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds._select_contiguous(0, 4) + Dataset({ + features: ['text', 'label'], + num_rows: 4 + }) + ``` + """ + if len(self.list_indexes()) > 0: + raise DatasetTransformationNotAllowedError( + "Using `.select` on a dataset with attached indexes is not allowed. You can first run `.drop_index() to remove your index and then re-add it." + ) + + # If the array is empty we do nothing + if len(self) == 0: + return self + + _check_valid_indices_value(start, len(self)) + _check_valid_indices_value(start + length - 1, len(self)) + if self._indices is None or length == 0: + return Dataset( + self.data.slice(start, length), + info=self.info.copy(), + split=self.split, + fingerprint=new_fingerprint, + ) + else: + return Dataset( + self.data, + info=self.info.copy(), + split=self.split, + indices_table=self._indices.slice(start, length), + fingerprint=new_fingerprint, + ) + + @transmit_format + @fingerprint_transform(inplace=False, ignore_kwargs=["indices_cache_file_name"]) + def _select_with_indices_mapping( + self, + indices: Iterable, + keep_in_memory: bool = False, + indices_cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + new_fingerprint: Optional[str] = None, + ) -> "Dataset": + """Create a new dataset with rows selected following the list/array of indices. + The new dataset is made by creating a new indices mapping on top of the main arrow table. + + Args: + indices (sequence, iterable, range, ndarray or Series): List or 1D-array of integer indices for indexing. + keep_in_memory (`bool`, default `False`): Keep the indices mapping in memory instead of writing it to a cache file. + indices_cache_file_name (`str`, optional, default `None`): Provide the name of a path for the cache file. It is used to store the + indices mapping instead of the automatically generated cache file name. + writer_batch_size (`int`, default `1000`): Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `.map()`. + new_fingerprint (`str`, optional, default `None`): the new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds._select_with_indices_mapping(range(4)) + Dataset({ + features: ['text', 'label'], + num_rows: 4 + }) + ``` + """ + if keep_in_memory and indices_cache_file_name is not None: + raise ValueError("Please use either `keep_in_memory` or `indices_cache_file_name` but not both.") + + if len(self.list_indexes()) > 0: + raise DatasetTransformationNotAllowedError( + "Using `.select` on a dataset with attached indexes is not allowed. You can first run `.drop_index() to remove your index and then re-add it." + ) + + # If the array is empty we do nothing + if len(self) == 0: + return self + + # Prepare the writer for our indices arrow table + if keep_in_memory or indices_cache_file_name is None: + buf_writer = pa.BufferOutputStream() + tmp_file = None + writer = ArrowWriter( + stream=buf_writer, writer_batch_size=writer_batch_size, fingerprint=new_fingerprint, unit="indices" + ) + else: + buf_writer = None + logger.info(f"Caching indices mapping at {indices_cache_file_name}") + cache_dir = os.path.dirname(indices_cache_file_name) + os.makedirs(cache_dir, exist_ok=True) + tmp_file = tempfile.NamedTemporaryFile("wb", dir=cache_dir, delete=False) + writer = ArrowWriter( + path=tmp_file.name, writer_batch_size=writer_batch_size, fingerprint=new_fingerprint, unit="indices" + ) + + indices = indices if isinstance(indices, list) else list(indices) + + size = len(self) + if indices: + _check_valid_indices_value(int(max(indices)), size=size) + _check_valid_indices_value(int(min(indices)), size=size) + else: + return self._select_contiguous(0, 0, new_fingerprint=new_fingerprint) + + indices_array = pa.array(indices, type=pa.uint64()) + # Check if we need to convert indices + if self._indices is not None: + indices_array = self._indices.column(0).take(indices_array) + + indices_table = pa.Table.from_arrays([indices_array], names=["indices"]) + + with writer: + try: + writer.write_table(indices_table) + writer.finalize() # close_stream=bool(buf_writer is None)) We only close if we are writing in a file + except (Exception, KeyboardInterrupt): + if tmp_file is not None: + tmp_file.close() + if os.path.exists(tmp_file.name): + os.remove(tmp_file.name) + raise + + if tmp_file is not None: + tmp_file.close() + shutil.move(tmp_file.name, indices_cache_file_name) + umask = os.umask(0o666) + os.umask(umask) + os.chmod(indices_cache_file_name, 0o666 & ~umask) + + # Return new Dataset object + if buf_writer is None: + return self._new_dataset_with_indices( + indices_cache_file_name=indices_cache_file_name, fingerprint=new_fingerprint + ) + else: + return self._new_dataset_with_indices(indices_buffer=buf_writer.getvalue(), fingerprint=new_fingerprint) + + def skip(self, n: int) -> "Dataset": + """ + Create a new [`Dataset`] that skips the first `n` elements. + + Args: + n (`int`): + Number of elements to skip. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train") + >>> list(ds.take(3)) + [{'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'effective but too-tepid biopic'}] + >>> ds = ds.skip(1) + >>> list(ds.take(3)) + [{'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'effective but too-tepid biopic'}, + {'label': 1, + 'text': 'if you sometimes like to go to the movies to have fun , wasabi is a good place to start .'}] + ``` + """ + return self.select(range(n, len(self))) + + def repeat(self, num_times: int) -> "Dataset": + """ + Create a new [`Dataset`] that repeats the underlying dataset `num_times` times. + + Like itertools.repeat, repeating once just returns the full dataset. + + Args: + num_times (`int`): + Number of times to repeat the dataset. + + Example: + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train") + >>> ds = ds.take(2).repeat(2) + >>> list(ds) + [{'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'effective but too-tepid biopic'}, + {'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'effective but too-tepid biopic'}] + ``` + """ + if num_times is None: + raise ValueError("Map style datasets do not support indefinite repetition.") + return _concatenate_map_style_datasets([self] * num_times) if num_times > 0 else self.select([]) + + def take(self, n: int) -> "Dataset": + """ + Create a new [`Dataset`] with only the first `n` elements. + + Args: + n (`int`): + Number of elements to take. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train") + >>> small_ds = ds.take(2) + >>> list(small_ds) + [{'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}] + ``` + """ + return self.select(range(n)) + + @transmit_format + @fingerprint_transform(inplace=False, ignore_kwargs=["load_from_cache_file", "indices_cache_file_name"]) + def sort( + self, + column_names: Union[str, Sequence_[str]], + reverse: Union[bool, Sequence_[bool]] = False, + null_placement: str = "at_end", + keep_in_memory: bool = False, + load_from_cache_file: Optional[bool] = None, + indices_cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + new_fingerprint: Optional[str] = None, + ) -> "Dataset": + """Create a new dataset sorted according to a single or multiple columns. + + Args: + column_names (`Union[str, Sequence[str]]`): + Column name(s) to sort by. + reverse (`Union[bool, Sequence[bool]]`, defaults to `False`): + If `True`, sort by descending order rather than ascending. If a single bool is provided, + the value is applied to the sorting of all column names. Otherwise a list of bools with the + same length and order as column_names must be provided. + null_placement (`str`, defaults to `at_end`): + Put `None` values at the beginning if `at_start` or `first` or at the end if `at_end` or `last` + + + keep_in_memory (`bool`, defaults to `False`): + Keep the sorted indices in memory instead of writing it to a cache file. + load_from_cache_file (`Optional[bool]`, defaults to `True` if caching is enabled): + If a cache file storing the sorted indices + can be identified, use it instead of recomputing. + indices_cache_file_name (`str`, *optional*, defaults to `None`): + Provide the name of a path for the cache file. It is used to store the + sorted indices instead of the automatically generated cache file name. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + Higher value gives smaller cache files, lower value consume less temporary memory. + new_fingerprint (`str`, *optional*, defaults to `None`): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset('cornell-movie-review-data/rotten_tomatoes', split='validation') + >>> ds['label'][:10] + [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] + >>> sorted_ds = ds.sort('label') + >>> sorted_ds['label'][:10] + [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] + >>> another_sorted_ds = ds.sort(['label', 'text'], reverse=[True, False]) + >>> another_sorted_ds['label'][:10] + [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] + ``` + """ + if len(self.list_indexes()) > 0: + raise DatasetTransformationNotAllowedError( + "Using `.sort` on a dataset with attached indexes is not allowed. You can first run `.drop_index() to remove your index and then re-add it." + ) + # If the array is empty we do nothing + if len(self) == 0: + return self + + # Check proper format of and for duplicates in column_names + if isinstance(column_names, str): + column_names = [column_names] + + # Check proper format and length of reverse + if not isinstance(reverse, bool): + if len(reverse) != len(column_names): + raise ValueError( + "Parameter 'reverse' should be either a boolean or a list of booleans with the same length as 'column_names'." + ) + else: + reverse = [reverse] * len(column_names) + + # Check whether column name(s) exist in dataset + for column in column_names: + if not isinstance(column, str) or column not in self._data.column_names: + raise ValueError( + f"Column '{column}' not found in the dataset. Please provide a column selected in: {self._data.column_names}" + ) + + # Change null_placement to conform to pyarrow's sort_indices() while ensuring backwards compatibility + if null_placement not in ["at_start", "at_end"]: + if null_placement == "first": + null_placement = "at_start" + elif null_placement == "last": + null_placement = "at_end" + else: + raise ValueError( + f"null_placement '{null_placement}' is an invalid parameter value. Must be either 'last', 'at_end', 'first' or 'at_start'." + ) + + load_from_cache_file = load_from_cache_file if load_from_cache_file is not None else is_caching_enabled() + + # Check if we've already cached this computation (indexed by a hash) + if self.cache_files: + if indices_cache_file_name is None: + # we create a unique hash from the function, current dataset file and the mapping args + indices_cache_file_name = self._get_cache_file_path(new_fingerprint) + if os.path.exists(indices_cache_file_name) and load_from_cache_file: + logger.info(f"Loading cached sorted indices for dataset at {indices_cache_file_name}") + return self._new_dataset_with_indices( + fingerprint=new_fingerprint, indices_cache_file_name=indices_cache_file_name + ) + + sort_table = query_table( + table=self._data, + key=slice(0, len(self)), + indices=self._indices, + ) + + sort_keys = [ + (col, "ascending" if not col_reverse else "descending") for col, col_reverse in zip(column_names, reverse) + ] + + indices = pc.sort_indices(sort_table, sort_keys=sort_keys, null_placement=null_placement) + + return self.select( + indices=indices, + keep_in_memory=keep_in_memory, + indices_cache_file_name=indices_cache_file_name, + writer_batch_size=writer_batch_size, + new_fingerprint=new_fingerprint, + ) + + @transmit_format + @fingerprint_transform( + inplace=False, randomized_function=True, ignore_kwargs=["load_from_cache_file", "indices_cache_file_name"] + ) + def shuffle( + self, + seed: Optional[int] = None, + generator: Optional[np.random.Generator] = None, + keep_in_memory: bool = False, + load_from_cache_file: Optional[bool] = None, + indices_cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + new_fingerprint: Optional[str] = None, + ) -> "Dataset": + """Create a new Dataset where the rows are shuffled. + + Currently shuffling uses numpy random generators. + You can either supply a NumPy BitGenerator to use, or a seed to initiate NumPy's default random generator (PCG64). + + Shuffling takes the list of indices `[0:len(my_dataset)]` and shuffles it to create an indices mapping. + However as soon as your [`Dataset`] has an indices mapping, the speed can become 10x slower. + This is because there is an extra step to get the row index to read using the indices mapping, and most importantly, you aren't reading contiguous chunks of data anymore. + To restore the speed, you'd need to rewrite the entire dataset on your disk again using [`Dataset.flatten_indices`], which removes the indices mapping. + This may take a lot of time depending of the size of your dataset though: + + ```python + my_dataset[0] # fast + my_dataset = my_dataset.shuffle(seed=42) + my_dataset[0] # up to 10x slower + my_dataset = my_dataset.flatten_indices() # rewrite the shuffled dataset on disk as contiguous chunks of data + my_dataset[0] # fast again + ``` + + In this case, we recommend switching to an [`IterableDataset`] and leveraging its fast approximate shuffling method [`IterableDataset.shuffle`]. + It only shuffles the shards order and adds a shuffle buffer to your dataset, which keeps the speed of your dataset optimal: + + ```python + my_iterable_dataset = my_dataset.to_iterable_dataset(num_shards=128) + for example in enumerate(my_iterable_dataset): # fast + pass + + shuffled_iterable_dataset = my_iterable_dataset.shuffle(seed=42, buffer_size=100) + + for example in enumerate(shuffled_iterable_dataset): # as fast as before + pass + ``` + + Args: + seed (`int`, *optional*): + A seed to initialize the default BitGenerator if `generator=None`. + If `None`, then fresh, unpredictable entropy will be pulled from the OS. + If an `int` or `array_like[ints]` is passed, then it will be passed to SeedSequence to derive the initial BitGenerator state. + generator (`numpy.random.Generator`, *optional*): + Numpy random Generator to use to compute the permutation of the dataset rows. + If `generator=None` (default), uses `np.random.default_rng` (the default BitGenerator (PCG64) of NumPy). + keep_in_memory (`bool`, default `False`): + Keep the shuffled indices in memory instead of writing it to a cache file. + load_from_cache_file (`Optional[bool]`, defaults to `True` if caching is enabled): + If a cache file storing the shuffled indices + can be identified, use it instead of recomputing. + indices_cache_file_name (`str`, *optional*): + Provide the name of a path for the cache file. It is used to store the + shuffled indices instead of the automatically generated cache file name. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + new_fingerprint (`str`, *optional*, defaults to `None`): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds['label'][:10] + [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] + + # set a seed + >>> shuffled_ds = ds.shuffle(seed=42) + >>> shuffled_ds['label'][:10] + [1, 0, 1, 1, 0, 0, 0, 0, 0, 0] + ``` + """ + if len(self.list_indexes()) > 0: + raise DatasetTransformationNotAllowedError( + "Using `.shuffle` on a dataset with attached indexes is not allowed. You can first run `.drop_index() to remove your index and then re-add it." + ) + # If the array is empty we do nothing + if len(self) == 0: + return self + + if keep_in_memory and indices_cache_file_name is not None: + raise ValueError("Please use either `keep_in_memory` or `indices_cache_file_name` but not both.") + + if seed is not None and generator is not None: + raise ValueError("Both `seed` and `generator` were provided. Please specify just one of them.") + + if generator is not None and not isinstance(generator, np.random.Generator): + raise ValueError("The provided generator must be an instance of numpy.random.Generator") + + load_from_cache_file = load_from_cache_file if load_from_cache_file is not None else is_caching_enabled() + + if generator is None: + if seed is None: + _, seed, pos, *_ = np.random.get_state() + seed = seed[pos] if pos < 624 else seed[0] + _ = np.random.random() # do 1 step of rng + generator = np.random.default_rng(seed) + + # Check if we've already cached this computation (indexed by a hash) + if self.cache_files: + if indices_cache_file_name is None: + # we create a unique hash from the function, current dataset file and the mapping args + indices_cache_file_name = self._get_cache_file_path(new_fingerprint) + if os.path.exists(indices_cache_file_name) and load_from_cache_file: + logger.info(f"Loading cached shuffled indices for dataset at {indices_cache_file_name}") + return self._new_dataset_with_indices( + fingerprint=new_fingerprint, indices_cache_file_name=indices_cache_file_name + ) + + permutation = generator.permutation(len(self)) + + return self.select( + indices=permutation, + keep_in_memory=keep_in_memory, + indices_cache_file_name=indices_cache_file_name if not keep_in_memory else None, + writer_batch_size=writer_batch_size, + new_fingerprint=new_fingerprint, + ) + + @transmit_format + @fingerprint_transform( + inplace=False, + randomized_function=True, + fingerprint_names=["train_new_fingerprint", "test_new_fingerprint"], + ignore_kwargs=["load_from_cache_file", "train_indices_cache_file_name", "test_indices_cache_file_name"], + ) + def train_test_split( + self, + test_size: Union[float, int, None] = None, + train_size: Union[float, int, None] = None, + shuffle: bool = True, + stratify_by_column: Optional[str] = None, + seed: Optional[int] = None, + generator: Optional[np.random.Generator] = None, + keep_in_memory: bool = False, + load_from_cache_file: Optional[bool] = None, + train_indices_cache_file_name: Optional[str] = None, + test_indices_cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + train_new_fingerprint: Optional[str] = None, + test_new_fingerprint: Optional[str] = None, + ) -> "DatasetDict": + """Return a dictionary ([`datasets.DatasetDict`]) with two random train and test subsets (`train` and `test` `Dataset` splits). + Splits are created from the dataset according to `test_size`, `train_size` and `shuffle`. + + This method is similar to scikit-learn `train_test_split`. + + Args: + test_size (`numpy.random.Generator`, *optional*): + Size of the test split + If `float`, should be between `0.0` and `1.0` and represent the proportion of the dataset to include in the test split. + If `int`, represents the absolute number of test samples. + If `None`, the value is set to the complement of the train size. + If `train_size` is also `None`, it will be set to `0.25`. + train_size (`numpy.random.Generator`, *optional*): + Size of the train split + If `float`, should be between `0.0` and `1.0` and represent the proportion of the dataset to include in the train split. + If `int`, represents the absolute number of train samples. + If `None`, the value is automatically set to the complement of the test size. + shuffle (`bool`, *optional*, defaults to `True`): + Whether or not to shuffle the data before splitting. + stratify_by_column (`str`, *optional*, defaults to `None`): + The column name of labels to be used to perform stratified split of data. + seed (`int`, *optional*): + A seed to initialize the default BitGenerator if `generator=None`. + If `None`, then fresh, unpredictable entropy will be pulled from the OS. + If an `int` or `array_like[ints]` is passed, then it will be passed to SeedSequence to derive the initial BitGenerator state. + generator (`numpy.random.Generator`, *optional*): + Numpy random Generator to use to compute the permutation of the dataset rows. + If `generator=None` (default), uses `np.random.default_rng` (the default BitGenerator (PCG64) of NumPy). + keep_in_memory (`bool`, defaults to `False`): + Keep the splits indices in memory instead of writing it to a cache file. + load_from_cache_file (`Optional[bool]`, defaults to `True` if caching is enabled): + If a cache file storing the splits indices + can be identified, use it instead of recomputing. + train_cache_file_name (`str`, *optional*): + Provide the name of a path for the cache file. It is used to store the + train split indices instead of the automatically generated cache file name. + test_cache_file_name (`str`, *optional*): + Provide the name of a path for the cache file. It is used to store the + test split indices instead of the automatically generated cache file name. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + train_new_fingerprint (`str`, *optional*, defaults to `None`): + The new fingerprint of the train set after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments + test_new_fingerprint (`str`, *optional*, defaults to `None`): + The new fingerprint of the test set after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds = ds.train_test_split(test_size=0.2, shuffle=True) + DatasetDict({ + train: Dataset({ + features: ['text', 'label'], + num_rows: 852 + }) + test: Dataset({ + features: ['text', 'label'], + num_rows: 214 + }) + }) + + # set a seed + >>> ds = ds.train_test_split(test_size=0.2, seed=42) + + # stratified split + >>> ds = load_dataset("imdb",split="train") + Dataset({ + features: ['text', 'label'], + num_rows: 25000 + }) + >>> ds = ds.train_test_split(test_size=0.2, stratify_by_column="label") + DatasetDict({ + train: Dataset({ + features: ['text', 'label'], + num_rows: 20000 + }) + test: Dataset({ + features: ['text', 'label'], + num_rows: 5000 + }) + }) + ``` + """ + from .dataset_dict import DatasetDict # import here because of circular dependency + + if len(self.list_indexes()) > 0: + raise DatasetTransformationNotAllowedError( + "Using `.train_test_split` on a dataset with attached indexes is not allowed. You can first run `.drop_index() to remove your index and then re-add it." + ) + # If the array is empty we do nothing + if len(self) == 0: + return DatasetDict({"train": self, "test": self}) + + if test_size is None and train_size is None: + test_size = 0.25 + + # Safety checks similar to scikit-learn's ones. + # (adapted from https://github.com/scikit-learn/scikit-learn/blob/fd237278e895b42abe8d8d09105cbb82dc2cbba7/sklearn/model_selection/_split.py#L1750) + n_samples = len(self) + if ( + isinstance(test_size, int) + and (test_size >= n_samples or test_size <= 0) + or isinstance(test_size, float) + and (test_size <= 0 or test_size >= 1) + ): + raise ValueError( + f"test_size={test_size} should be either positive and smaller " + f"than the number of samples {n_samples} or a float in the (0, 1) range" + ) + + if ( + isinstance(train_size, int) + and (train_size >= n_samples or train_size <= 0) + or isinstance(train_size, float) + and (train_size <= 0 or train_size >= 1) + ): + raise ValueError( + f"train_size={train_size} should be either positive and smaller " + f"than the number of samples {n_samples} or a float in the (0, 1) range" + ) + + if train_size is not None and not isinstance(train_size, (int, float)): + raise ValueError(f"Invalid value for train_size: {train_size} of type {type(train_size)}") + if test_size is not None and not isinstance(test_size, (int, float)): + raise ValueError(f"Invalid value for test_size: {test_size} of type {type(test_size)}") + + if isinstance(train_size, float) and isinstance(test_size, float) and train_size + test_size > 1: + raise ValueError( + f"The sum of test_size and train_size = {train_size + test_size}, should be in the (0, 1)" + " range. Reduce test_size and/or train_size." + ) + + if isinstance(test_size, float): + n_test = ceil(test_size * n_samples) + elif isinstance(test_size, int): + n_test = float(test_size) + + if isinstance(train_size, float): + n_train = floor(train_size * n_samples) + elif isinstance(train_size, int): + n_train = float(train_size) + + if train_size is None: + n_train = n_samples - n_test + elif test_size is None: + n_test = n_samples - n_train + + if n_train + n_test > n_samples: + raise ValueError( + f"The sum of train_size and test_size = {n_train + n_test}, " + "should be smaller than the number of " + f"samples {n_samples}. Reduce test_size and/or " + "train_size." + ) + + n_train, n_test = int(n_train), int(n_test) + + if n_train == 0: + raise ValueError( + f"With n_samples={n_samples}, test_size={test_size} and train_size={train_size}, the " + "resulting train set will be empty. Adjust any of the " + "aforementioned parameters." + ) + + load_from_cache_file = load_from_cache_file if load_from_cache_file is not None else is_caching_enabled() + + if generator is None and shuffle is True: + if seed is None: + _, seed, pos, *_ = np.random.get_state() + seed = seed[pos] if pos < 624 else seed[0] + _ = np.random.random() # do 1 step of rng + generator = np.random.default_rng(seed) + + # Check if we've already cached this computation (indexed by a hash) + if self.cache_files: + if train_indices_cache_file_name is None or test_indices_cache_file_name is None: + # we create a unique hash from the function, current dataset file and the mapping args + + if train_indices_cache_file_name is None: + train_indices_cache_file_name = self._get_cache_file_path(train_new_fingerprint) + if test_indices_cache_file_name is None: + test_indices_cache_file_name = self._get_cache_file_path(test_new_fingerprint) + if ( + os.path.exists(train_indices_cache_file_name) + and os.path.exists(test_indices_cache_file_name) + and load_from_cache_file + ): + logger.info( + f"Loading cached split indices for dataset at {train_indices_cache_file_name} and {test_indices_cache_file_name}" + ) + return DatasetDict( + { + "train": self._new_dataset_with_indices( + fingerprint=train_new_fingerprint, indices_cache_file_name=train_indices_cache_file_name + ), + "test": self._new_dataset_with_indices( + fingerprint=test_new_fingerprint, indices_cache_file_name=test_indices_cache_file_name + ), + } + ) + if not shuffle: + if stratify_by_column is not None: + raise ValueError("Stratified train/test split is not implemented for `shuffle=False`") + train_indices = np.arange(n_train) + test_indices = np.arange(n_train, n_train + n_test) + else: + # stratified partition + if stratify_by_column is not None: + if stratify_by_column not in self._info.features.keys(): + raise ValueError(f"Key {stratify_by_column} not found in {self._info.features.keys()}") + if not isinstance(self._info.features[stratify_by_column], ClassLabel): + raise ValueError( + f"Stratifying by column is only supported for {ClassLabel.__name__} column, and column {stratify_by_column} is {type(self._info.features[stratify_by_column]).__name__}." + ) + try: + train_indices, test_indices = next( + stratified_shuffle_split_generate_indices( + self.with_format("numpy")[stratify_by_column], n_train, n_test, rng=generator + ) + ) + except Exception as error: + if str(error) == "Minimum class count error": + raise ValueError( + f"The least populated class in {stratify_by_column} column has only 1" + " member, which is too few. The minimum" + " number of groups for any class cannot" + " be less than 2." + ) + else: + raise error + + # random partition + else: + permutation = generator.permutation(len(self)) + test_indices = permutation[:n_test] + train_indices = permutation[n_test : (n_test + n_train)] + + train_split = self.select( + indices=train_indices, + keep_in_memory=keep_in_memory, + indices_cache_file_name=train_indices_cache_file_name, + writer_batch_size=writer_batch_size, + new_fingerprint=train_new_fingerprint, + ) + test_split = self.select( + indices=test_indices, + keep_in_memory=keep_in_memory, + indices_cache_file_name=test_indices_cache_file_name, + writer_batch_size=writer_batch_size, + new_fingerprint=test_new_fingerprint, + ) + + return DatasetDict({"train": train_split, "test": test_split}) + + def shard( + self, + num_shards: int, + index: int, + contiguous: bool = True, + keep_in_memory: bool = False, + indices_cache_file_name: Optional[str] = None, + writer_batch_size: Optional[int] = 1000, + ) -> "Dataset": + """Return the `index`-nth shard from dataset split into `num_shards` pieces. + + This shards deterministically. `dataset.shard(n, i)` splits the dataset into contiguous chunks, + so it can be easily concatenated back together after processing. If `len(dataset) % n == l`, then the + first `l` dataset each have length `(len(dataset) // n) + 1`, and the remaining dataset have length `(len(dataset) // n)`. + `datasets.concatenate_datasets([dset.shard(n, i) for i in range(n)])` returns a dataset with the same order as the original. + + Note: n should be less or equal to the number of elements in the dataset `len(dataset)`. + + On the other hand, `dataset.shard(n, i, contiguous=False)` contains all elements of the dataset whose index mod `n = i`. + + Be sure to shard before using any randomizing operator (such as `shuffle`). + It is best if the shard operator is used early in the dataset pipeline. + + Args: + num_shards (`int`): + How many shards to split the dataset into. + index (`int`): + Which shard to select and return. + contiguous: (`bool`, defaults to `True`): + Whether to select contiguous blocks of indices for shards. + keep_in_memory (`bool`, defaults to `False`): + Keep the dataset in memory instead of writing it to a cache file. + indices_cache_file_name (`str`, *optional*): + Provide the name of a path for the cache file. It is used to store the + indices of each shard instead of the automatically generated cache file name. + writer_batch_size (`int`, defaults to `1000`): + This only concerns the indices mapping. + Number of indices per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds + Dataset({ + features: ['text', 'label'], + num_rows: 1066 + }) + >>> ds.shard(num_shards=2, index=0) + Dataset({ + features: ['text', 'label'], + num_rows: 533 + }) + ``` + """ + if not 0 <= index < num_shards: + raise ValueError("index should be in [0, num_shards-1]") + if contiguous: + div = len(self) // num_shards + mod = len(self) % num_shards + start = div * index + min(index, mod) + end = start + div + (1 if index < mod else 0) + indices = range(start, end) + else: + indices = np.arange(index, len(self), num_shards) + + return self.select( + indices=indices, + keep_in_memory=keep_in_memory, + indices_cache_file_name=indices_cache_file_name, + writer_batch_size=writer_batch_size, + ) + + def to_csv( + self, + path_or_buf: Union[PathLike, BinaryIO], + batch_size: Optional[int] = None, + num_proc: Optional[int] = None, + storage_options: Optional[dict] = None, + **to_csv_kwargs, + ) -> int: + """Exports the dataset to csv + + Args: + path_or_buf (`PathLike` or `FileOrBuffer`): + Either a path to a file (e.g. `file.csv`), a remote URI (e.g. `hf://datasets/username/my_dataset_name/data.csv`), + or a BinaryIO, where the dataset will be saved to in the specified format. + batch_size (`int`, *optional*): + Size of the batch to load in memory and write at once. + Defaults to `datasets.config.DEFAULT_MAX_BATCH_SIZE`. + num_proc (`int`, *optional*): + Number of processes for multiprocessing. By default it doesn't + use multiprocessing. `batch_size` in this case defaults to + `datasets.config.DEFAULT_MAX_BATCH_SIZE` but feel free to make it 5x or 10x of the default + value if you have sufficient compute power. + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + **to_csv_kwargs (additional keyword arguments): + Parameters to pass to pandas's [`pandas.DataFrame.to_csv`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_csv.html). + + + + Now, `index` defaults to `False` if not specified. + + If you would like to write the index, pass `index=True` and also set a name for the index column by + passing `index_label`. + + + + Returns: + `int`: The number of characters or bytes written. + + Example: + + ```py + >>> ds.to_csv("path/to/dataset/directory") + ``` + """ + # Dynamic import to avoid circular dependency + from .io.csv import CsvDatasetWriter + + return CsvDatasetWriter( + self, + path_or_buf, + batch_size=batch_size, + num_proc=num_proc, + storage_options=storage_options, + **to_csv_kwargs, + ).write() + + def to_dict(self, batch_size: Optional[int] = None) -> Union[dict, Iterator[dict]]: + """Returns the dataset as a Python dict. Can also return a generator for large datasets. + + Args: + batch_size (`int`, *optional*): The size (number of rows) of the batches if `batched` is `True`. + Defaults to `datasets.config.DEFAULT_MAX_BATCH_SIZE`. + + Returns: + `dict` or `Iterator[dict]` + + Example: + + ```py + >>> ds.to_dict() + ``` + """ + return query_table( + table=self._data, + key=slice(0, len(self)), + indices=self._indices, + ).to_pydict() + + def to_list(self) -> list: + """Returns the dataset as a Python list. + + Returns: + `list` + + Example: + + ```py + >>> ds.to_list() + ``` + """ + return query_table( + table=self._data, + key=slice(0, len(self)), + indices=self._indices, + ).to_pylist() + + def to_json( + self, + path_or_buf: Union[PathLike, BinaryIO], + batch_size: Optional[int] = None, + num_proc: Optional[int] = None, + storage_options: Optional[dict] = None, + **to_json_kwargs, + ) -> int: + """Export the dataset to JSON Lines or JSON. + + The default output format is [JSON Lines](https://jsonlines.org/). + To export to [JSON](https://www.json.org), pass `lines=False` argument and the desired `orient`. + + Args: + path_or_buf (`PathLike` or `FileOrBuffer`): + Either a path to a file (e.g. `file.json`), a remote URI (e.g. `hf://datasets/username/my_dataset_name/data.json`), + or a BinaryIO, where the dataset will be saved to in the specified format. + batch_size (`int`, *optional*): + Size of the batch to load in memory and write at once. + Defaults to `datasets.config.DEFAULT_MAX_BATCH_SIZE`. + num_proc (`int`, *optional*): + Number of processes for multiprocessing. By default, it doesn't + use multiprocessing. `batch_size` in this case defaults to + `datasets.config.DEFAULT_MAX_BATCH_SIZE` but feel free to make it 5x or 10x of the default + value if you have sufficient compute power. + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + **to_json_kwargs (additional keyword arguments): + Parameters to pass to pandas's [`pandas.DataFrame.to_json`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_json.html). + Default arguments are `lines=True` and `orient="records". + + + + The parameter `index` defaults to `False` if `orient` is `"split"` or `"table"`. + + If you would like to write the index, pass `index=True`. + + + + Returns: + `int`: The number of characters or bytes written. + + Example: + + ```py + >>> ds.to_json("path/to/dataset/directory/filename.jsonl") + ``` + """ + # Dynamic import to avoid circular dependency + from .io.json import JsonDatasetWriter + + return JsonDatasetWriter( + self, + path_or_buf, + batch_size=batch_size, + num_proc=num_proc, + storage_options=storage_options, + **to_json_kwargs, + ).write() + + def to_pandas( + self, batch_size: Optional[int] = None, batched: bool = False + ) -> Union[pd.DataFrame, Iterator[pd.DataFrame]]: + """Returns the dataset as a `pandas.DataFrame`. Can also return a generator for large datasets. + + Args: + batched (`bool`): + Set to `True` to return a generator that yields the dataset as batches + of `batch_size` rows. Defaults to `False` (returns the whole datasets once). + batch_size (`int`, *optional*): + The size (number of rows) of the batches if `batched` is `True`. + Defaults to `datasets.config.DEFAULT_MAX_BATCH_SIZE`. + + Returns: + `pandas.DataFrame` or `Iterator[pandas.DataFrame]` + + Example: + + ```py + >>> ds.to_pandas() + ``` + """ + if not batched: + return query_table( + table=self._data, + key=slice(0, len(self)), + indices=self._indices, + ).to_pandas(types_mapper=pandas_types_mapper) + else: + batch_size = batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE + return ( + query_table( + table=self._data, + key=slice(offset, offset + batch_size), + indices=self._indices, + ).to_pandas(types_mapper=pandas_types_mapper) + for offset in range(0, len(self), batch_size) + ) + + def to_polars( + self, + batch_size: Optional[int] = None, + batched: bool = False, + schema_overrides: Optional[dict] = None, + rechunk: bool = True, + ) -> Union["pl.DataFrame", Iterator["pl.DataFrame"]]: + """Returns the dataset as a `polars.DataFrame`. Can also return a generator for large datasets. + + Args: + batched (`bool`): + Set to `True` to return a generator that yields the dataset as batches + of `batch_size` rows. Defaults to `False` (returns the whole datasets once). + batch_size (`int`, *optional*): + The size (number of rows) of the batches if `batched` is `True`. + Defaults to `genomicsml.datasets.config.DEFAULT_MAX_BATCH_SIZE`. + schema_overrides (`dict`, *optional*): + Support type specification or override of one or more columns; note that + any dtypes inferred from the schema param will be overridden. + rechunk (`bool`): + Make sure that all data is in contiguous memory. Defaults to `True`. + Returns: + `polars.DataFrame` or `Iterator[polars.DataFrame]` + + Example: + + ```py + >>> ds.to_polars() + ``` + """ + if config.POLARS_AVAILABLE: + import polars as pl + + if not batched: + return pl.from_arrow( + query_table( + table=self._data, + key=slice(0, len(self)), + indices=self._indices if self._indices is not None else None, + ), + schema_overrides=schema_overrides, + rechunk=rechunk, + ) + else: + batch_size = batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE + return ( + pl.from_arrow( + query_table( + table=self._data, + key=slice(offset, offset + batch_size), + indices=self._indices if self._indices is not None else None, + ), + schema_overrides=schema_overrides, + rechunk=rechunk, + ) + for offset in range(0, len(self), batch_size) + ) + else: + raise ValueError("Polars needs to be installed to be able to return Polars dataframes.") + + def to_parquet( + self, + path_or_buf: Union[PathLike, BinaryIO], + batch_size: Optional[int] = None, + storage_options: Optional[dict] = None, + **parquet_writer_kwargs, + ) -> int: + """Exports the dataset to parquet + + Args: + path_or_buf (`PathLike` or `FileOrBuffer`): + Either a path to a file (e.g. `file.parquet`), a remote URI (e.g. `hf://datasets/username/my_dataset_name/data.parquet`), + or a BinaryIO, where the dataset will be saved to in the specified format. + batch_size (`int`, *optional*): + Size of the batch to load in memory and write at once. + Defaults to `datasets.config.DEFAULT_MAX_BATCH_SIZE`. + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + **parquet_writer_kwargs (additional keyword arguments): + Parameters to pass to PyArrow's `pyarrow.parquet.ParquetWriter`. + + Returns: + `int`: The number of characters or bytes written. + + Example: + + ```py + >>> ds.to_parquet("path/to/dataset/directory") + ``` + """ + # Dynamic import to avoid circular dependency + from .io.parquet import ParquetDatasetWriter + + return ParquetDatasetWriter( + self, path_or_buf, batch_size=batch_size, storage_options=storage_options, **parquet_writer_kwargs + ).write() + + def to_sql( + self, + name: str, + con: Union[str, "sqlalchemy.engine.Connection", "sqlalchemy.engine.Engine", "sqlite3.Connection"], + batch_size: Optional[int] = None, + **sql_writer_kwargs, + ) -> int: + """Exports the dataset to a SQL database. + + Args: + name (`str`): + Name of SQL table. + con (`str` or `sqlite3.Connection` or `sqlalchemy.engine.Connection` or `sqlalchemy.engine.Connection`): + A [URI string](https://docs.sqlalchemy.org/en/13/core/engines.html#database-urls) or a SQLite3/SQLAlchemy connection object used to write to a database. + batch_size (`int`, *optional*): + Size of the batch to load in memory and write at once. + Defaults to `datasets.config.DEFAULT_MAX_BATCH_SIZE`. + **sql_writer_kwargs (additional keyword arguments): + Parameters to pass to pandas's [`pandas.DataFrame.to_sql`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_sql.html). + + + + Now, `index` defaults to `False` if not specified. + + If you would like to write the index, pass `index=True` and also set a name for the index column by + passing `index_label`. + + + + Returns: + `int`: The number of records written. + + Example: + + ```py + >>> # con provided as a connection URI string + >>> ds.to_sql("data", "sqlite:///my_own_db.sql") + >>> # con provided as a sqlite3 connection object + >>> import sqlite3 + >>> con = sqlite3.connect("my_own_db.sql") + >>> with con: + ... ds.to_sql("data", con) + ``` + """ + # Dynamic import to avoid circular dependency + from .io.sql import SqlDatasetWriter + + return SqlDatasetWriter(self, name, con, batch_size=batch_size, **sql_writer_kwargs).write() + + def _estimate_nbytes(self) -> int: + dataset_nbytes = self.data.nbytes + + # Find decodable columns, because if there are any, we need to + # adjust the dataset size computation (needed for sharding) to account for possible external files + decodable_columns = [ + k for k, v in self._info.features.items() if require_decoding(v, ignore_decode_attribute=True) + ] + + if decodable_columns: + # Approximate the space needed to store the bytes from the external files by analyzing the first 1000 examples + extra_nbytes = 0 + + def extra_nbytes_visitor(array, feature): + nonlocal extra_nbytes + if isinstance(feature, (Audio, Image, Video)): + for x in array.to_pylist(): + if x is not None and x["bytes"] is None and x["path"] is not None: + size = xgetsize(x["path"]) + extra_nbytes += size + extra_nbytes -= array.field("path").nbytes + + table = self.with_format("arrow")[:1000] + table_visitor(table, extra_nbytes_visitor) + + extra_nbytes = extra_nbytes * len(self.data) / len(table) + dataset_nbytes = dataset_nbytes + extra_nbytes + + if self._indices is not None: + dataset_nbytes = dataset_nbytes * len(self._indices) / len(self.data) + return dataset_nbytes + + @staticmethod + def _generate_tables_from_shards(shards: list["Dataset"], batch_size: int): + for shard_idx, shard in enumerate(shards): + for pa_table in shard.with_format("arrow").iter(batch_size): + yield shard_idx, pa_table + + @staticmethod + def _generate_tables_from_cache_file(filename: str): + for batch_idx, batch in enumerate(_memory_mapped_record_batch_reader_from_file(filename)): + yield batch_idx, pa.Table.from_batches([batch]) + + def to_iterable_dataset(self, num_shards: Optional[int] = 1) -> "IterableDataset": + """Get an [`datasets.IterableDataset`] from a map-style [`datasets.Dataset`]. + This is equivalent to loading a dataset in streaming mode with [`datasets.load_dataset`], but much faster since the data is streamed from local files. + + Contrary to map-style datasets, iterable datasets are lazy and can only be iterated over (e.g. using a for loop). + Since they are read sequentially in training loops, iterable datasets are much faster than map-style datasets. + All the transformations applied to iterable datasets like filtering or processing are done on-the-fly when you start iterating over the dataset. + + Still, it is possible to shuffle an iterable dataset using [`datasets.IterableDataset.shuffle`]. + This is a fast approximate shuffling that works best if you have multiple shards and if you specify a buffer size that is big enough. + + To get the best speed performance, make sure your dataset doesn't have an indices mapping. + If this is the case, the data are not read contiguously, which can be slow sometimes. + You can use `ds = ds.flatten_indices()` to write your dataset in contiguous chunks of data and have optimal speed before switching to an iterable dataset. + + Args: + num_shards (`int`, default to `1`): + Number of shards to define when instantiating the iterable dataset. This is especially useful for big datasets to be able to shuffle properly, + and also to enable fast parallel loading using a PyTorch DataLoader or in distributed setups for example. + Shards are defined using [`datasets.Dataset.shard`]: it simply slices the data without writing anything on disk. + + Returns: + [`datasets.IterableDataset`] + + Example: + + Basic usage: + ```python + >>> ids = ds.to_iterable_dataset() + >>> for example in ids: + ... pass + ``` + + With lazy filtering and processing: + ```python + >>> ids = ds.to_iterable_dataset() + >>> ids = ids.filter(filter_fn).map(process_fn) # will filter and process on-the-fly when you start iterating over the iterable dataset + >>> for example in ids: + ... pass + ``` + + With sharding to enable efficient shuffling: + ```python + >>> ids = ds.to_iterable_dataset(num_shards=64) # the dataset is split into 64 shards to be iterated over + >>> ids = ids.shuffle(buffer_size=10_000) # will shuffle the shards order and use a shuffle buffer for fast approximate shuffling when you start iterating + >>> for example in ids: + ... pass + ``` + + With a PyTorch DataLoader: + ```python + >>> import torch + >>> ids = ds.to_iterable_dataset(num_shards=64) + >>> ids = ids.filter(filter_fn).map(process_fn) + >>> dataloader = torch.utils.data.DataLoader(ids, num_workers=4) # will assign 64 / 4 = 16 shards to each worker to load, filter and process when you start iterating + >>> for example in ids: + ... pass + ``` + + With a PyTorch DataLoader and shuffling: + ```python + >>> import torch + >>> ids = ds.to_iterable_dataset(num_shards=64) + >>> ids = ids.shuffle(buffer_size=10_000) # will shuffle the shards order and use a shuffle buffer when you start iterating + >>> dataloader = torch.utils.data.DataLoader(ids, num_workers=4) # will assign 64 / 4 = 16 shards from the shuffled list of shards to each worker when you start iterating + >>> for example in ids: + ... pass + ``` + + In a distributed setup like PyTorch DDP with a PyTorch DataLoader and shuffling + ```python + >>> from datasets.distributed import split_dataset_by_node + >>> ids = ds.to_iterable_dataset(num_shards=512) + >>> ids = ids.shuffle(buffer_size=10_000, seed=42) # will shuffle the shards order and use a shuffle buffer when you start iterating + >>> ids = split_dataset_by_node(ds, world_size=8, rank=0) # will keep only 512 / 8 = 64 shards from the shuffled lists of shards when you start iterating + >>> dataloader = torch.utils.data.DataLoader(ids, num_workers=4) # will assign 64 / 4 = 16 shards from this node's list of shards to each worker when you start iterating + >>> for example in ids: + ... pass + ``` + + With shuffling and multiple epochs: + ```python + >>> ids = ds.to_iterable_dataset(num_shards=64) + >>> ids = ids.shuffle(buffer_size=10_000, seed=42) # will shuffle the shards order and use a shuffle buffer when you start iterating + >>> for epoch in range(n_epochs): + ... ids.set_epoch(epoch) # will use effective_seed = seed + epoch to shuffle the shards and for the shuffle buffer when you start iterating + ... for example in ids: + ... pass + ``` + Feel free to also use [`IterableDataset.set_epoch`] when using a PyTorch DataLoader or in distributed setups. + """ + from .iterable_dataset import ArrowExamplesIterable, IterableDataset + + if self._format_type is not None: + if self._format_kwargs or ( + self._format_columns is not None and set(self._format_columns) != set(self.column_names) + ): + raise NotImplementedError( + "Converting a formatted dataset with kwargs or selected columns to a formatted iterable dataset is not implemented yet. Please run `my_dataset = my_dataset.with_format(None)` before calling to_iterable_dataset" + ) + if num_shards > len(self): + raise ValueError( + f"Unable to shard a dataset of size {len(self)} into {num_shards} shards (the number of shards exceeds the number of samples)." + ) + if self._indices is not None: + logger.info( + "Converting an Arrow dataset to iterable but it has an indices mapping that can make it slower. " + "You can use `ds = ds.flatten_indices()` to write your dataset in contiguous chunks of data and have optimal speed." + ) + shards = ( + [copy.deepcopy(self)] + if num_shards == 1 + else [ + self.shard(num_shards=num_shards, index=shard_idx, contiguous=True) for shard_idx in range(num_shards) + ] + ) + ex_iterable = ArrowExamplesIterable( + Dataset._generate_tables_from_shards, + kwargs={"shards": shards, "batch_size": config.DEFAULT_MAX_BATCH_SIZE}, + ) + ds = IterableDataset(ex_iterable, info=DatasetInfo(features=self.features)) + if self._format_type: + ds = ds.with_format(self._format_type) + return ds + + def _push_parquet_shards_to_hub( + self, + repo_id: str, + data_dir: str = "data", + split: Optional[str] = None, + token: Optional[str] = None, + revision: Optional[str] = None, + create_pr: Optional[bool] = False, + max_shard_size: Optional[Union[int, str]] = None, + num_shards: Optional[int] = None, + embed_external_files: bool = True, + ) -> tuple[list[CommitOperationAdd], int, int]: + """Pushes the dataset shards as Parquet files to the hub. + + Returns: + additions (`List[CommitOperation]`): list of the `CommitOperationAdd` of the uploaded shards + uploaded_size (`int`): number of uploaded bytes to the repository + dataset_nbytes (`int`): approximate size in bytes of the uploaded dataset after uncompression + """ + # Find decodable columns, because if there are any, we need to: + # embed the bytes from the files in the shards + decodable_columns = ( + [k for k, v in self._info.features.items() if require_decoding(v, ignore_decode_attribute=True)] + if embed_external_files + else [] + ) + + dataset_nbytes = self._estimate_nbytes() + + if num_shards is None: + max_shard_size = convert_file_size_to_int(max_shard_size or config.MAX_SHARD_SIZE) + num_shards = int(dataset_nbytes / max_shard_size) + 1 + num_shards = max(num_shards, 1) + + shards = (self.shard(num_shards=num_shards, index=i, contiguous=True) for i in range(num_shards)) + + if decodable_columns: + from .io.parquet import get_writer_batch_size + + def shards_with_embedded_external_files(shards: Iterator[Dataset]) -> Iterator[Dataset]: + for shard in shards: + format = shard.format + shard = shard.with_format("arrow") + shard = shard.map( + embed_table_storage, + batched=True, + batch_size=get_writer_batch_size(shard.features), + keep_in_memory=True, + ) + shard = shard.with_format(**format) + yield shard + + shards = shards_with_embedded_external_files(shards) + + api = HfApi(endpoint=config.HF_ENDPOINT, token=token) + + uploaded_size = 0 + additions: list[CommitOperationAdd] = [] + for index, shard in hf_tqdm( + enumerate(shards), + desc="Uploading the dataset shards", + total=num_shards, + ): + shard_path_in_repo = f"{data_dir}/{split}-{index:05d}-of-{num_shards:05d}.parquet" + buffer = BytesIO() + shard.to_parquet(buffer) + parquet_content = buffer.getvalue() + uploaded_size += len(parquet_content) + del buffer + shard_addition = CommitOperationAdd(path_in_repo=shard_path_in_repo, path_or_fileobj=parquet_content) + api.preupload_lfs_files( + repo_id=repo_id, + additions=[shard_addition], + repo_type="dataset", + revision=revision, + create_pr=create_pr, + ) + additions.append(shard_addition) + + return additions, uploaded_size, dataset_nbytes + + def push_to_hub( + self, + repo_id: str, + config_name: str = "default", + set_default: Optional[bool] = None, + split: Optional[str] = None, + data_dir: Optional[str] = None, + commit_message: Optional[str] = None, + commit_description: Optional[str] = None, + private: Optional[bool] = None, + token: Optional[str] = None, + revision: Optional[str] = None, + create_pr: Optional[bool] = False, + max_shard_size: Optional[Union[int, str]] = None, + num_shards: Optional[int] = None, + embed_external_files: bool = True, + ) -> CommitInfo: + """Pushes the dataset to the hub as a Parquet dataset. + The dataset is pushed using HTTP requests and does not need to have neither git or git-lfs installed. + + The resulting Parquet files are self-contained by default. If your dataset contains [`Image`], [`Audio`] or [`Video`] + data, the Parquet files will store the bytes of your images or audio files. + You can disable this by setting `embed_external_files` to `False`. + + Args: + repo_id (`str`): + The ID of the repository to push to in the following format: `/` or + `/`. Also accepts ``, which will default to the namespace + of the logged-in user. + config_name (`str`, defaults to "default"): + The configuration name (or subset) of a dataset. Defaults to "default". + set_default (`bool`, *optional*): + Whether to set this configuration as the default one. Otherwise, the default configuration is the one + named "default". + split (`str`, *optional*): + The name of the split that will be given to that dataset. Defaults to `self.split`. + data_dir (`str`, *optional*): + Directory name that will contain the uploaded data files. Defaults to the `config_name` if different + from "default", else "data". + + + commit_message (`str`, *optional*): + Message to commit while pushing. Will default to `"Upload dataset"`. + commit_description (`str`, *optional*): + Description of the commit that will be created. + Additionally, description of the PR if a PR is created (`create_pr` is True). + + + private (`bool`, *optional*): + Whether to make the repo private. If `None` (default), the repo will be public unless the + organization's default is private. This value is ignored if the repo already exists. + token (`str`, *optional*): + An optional authentication token for the Hugging Face Hub. If no token is passed, will default + to the token saved locally when logging in with `huggingface-cli login`. Will raise an error + if no token is passed and the user is not logged-in. + revision (`str`, *optional*): + Branch to push the uploaded files to. Defaults to the `"main"` branch. + + + create_pr (`bool`, *optional*, defaults to `False`): + Whether to create a PR with the uploaded files or directly commit. + + + max_shard_size (`int` or `str`, *optional*, defaults to `"500MB"`): + The maximum size of the dataset shards to be uploaded to the hub. If expressed as a string, needs to be digits followed by + a unit (like `"5MB"`). + num_shards (`int`, *optional*): + Number of shards to write. By default, the number of shards depends on `max_shard_size`. + + + embed_external_files (`bool`, defaults to `True`): + Whether to embed file bytes in the shards. + In particular, this will do the following before the push for the fields of type: + + - [`Audio`] and [`Image`]: remove local path information and embed file content in the Parquet files. + + Return: + huggingface_hub.CommitInfo + + Example: + + ```python + >>> dataset.push_to_hub("/") + >>> dataset_dict.push_to_hub("/", private=True) + >>> dataset.push_to_hub("/", max_shard_size="1GB") + >>> dataset.push_to_hub("/", num_shards=1024) + ``` + + If your dataset has multiple splits (e.g. train/validation/test): + + ```python + >>> train_dataset.push_to_hub("/", split="train") + >>> val_dataset.push_to_hub("/", split="validation") + >>> # later + >>> dataset = load_dataset("/") + >>> train_dataset = dataset["train"] + >>> val_dataset = dataset["validation"] + ``` + + If you want to add a new configuration (or subset) to a dataset (e.g. if the dataset has multiple tasks/versions/languages): + + ```python + >>> english_dataset.push_to_hub("/", "en") + >>> french_dataset.push_to_hub("/", "fr") + >>> # later + >>> english_dataset = load_dataset("/", "en") + >>> french_dataset = load_dataset("/", "fr") + ``` + """ + if "Video(" in str(self.features): + raise NotImplementedError( + "push_to_hub is not implemented for video datasets, instead you should upload the video files " + "using e.g. the huggingface_hub library and optionally upload a metadata.csv or metadata.jsonl " + "file containing other information like video captions, features or labels. More information " + "at https://huggingface.co/docs/datasets/main/en/video_load#videofolder" + ) + if config_name == "data": + raise ValueError("`config_name` cannot be 'data'. Please, choose another name for configuration.") + + if max_shard_size is not None and num_shards is not None: + raise ValueError( + "Failed to push_to_hub: please specify either max_shard_size or num_shards, but not both." + ) + + if split is None: + split = str(self.split) if self.split is not None else "train" + + if not re.match(_split_re, split): + raise ValueError(f"Split name should match '{_split_re}' but got '{split}'.") + + api = HfApi(endpoint=config.HF_ENDPOINT, token=token) + + repo_url = api.create_repo( + repo_id, + token=token, + repo_type="dataset", + private=private, + exist_ok=True, + ) + repo_id = repo_url.repo_id + + if revision is not None and not revision.startswith("refs/pr/"): + # We do not call create_branch for a PR reference: 400 Bad Request + api.create_branch(repo_id, branch=revision, token=token, repo_type="dataset", exist_ok=True) + + if not data_dir: + data_dir = config_name if config_name != "default" else "data" # for backward compatibility + + additions, uploaded_size, dataset_nbytes = self._push_parquet_shards_to_hub( + repo_id=repo_id, + data_dir=data_dir, + split=split, + token=token, + revision=revision, + max_shard_size=max_shard_size, + num_shards=num_shards, + create_pr=create_pr, + embed_external_files=embed_external_files, + ) + + # Check if the repo already has a README.md and/or a dataset_infos.json to update them with the new split info (size and pattern) + # and delete old split shards (if they exist) + repo_with_dataset_card, repo_with_dataset_infos = False, False + deletions: list[CommitOperationDelete] = [] + deleted_size = 0 + repo_splits: list[str] = [] # use a list to keep the order of the splits + repo_files_to_add = [addition.path_in_repo for addition in additions] + for repo_file in api.list_repo_tree( + repo_id=repo_id, revision=revision, repo_type="dataset", token=token, recursive=True + ): + if not isinstance(repo_file, RepoFile): + continue + if repo_file.rfilename == config.REPOCARD_FILENAME: + repo_with_dataset_card = True + elif repo_file.rfilename == config.DATASETDICT_INFOS_FILENAME: + repo_with_dataset_infos = True + elif ( + repo_file.rfilename.startswith(f"{data_dir}/{split}-") and repo_file.rfilename not in repo_files_to_add + ): + deletions.append(CommitOperationDelete(path_in_repo=repo_file.rfilename)) + deleted_size += repo_file.size + elif fnmatch.fnmatch( + repo_file.rfilename, PUSH_TO_HUB_WITHOUT_METADATA_CONFIGS_SPLIT_PATTERN_SHARDED.replace("{split}", "*") + ): + pattern = glob_pattern_to_regex(PUSH_TO_HUB_WITHOUT_METADATA_CONFIGS_SPLIT_PATTERN_SHARDED) + split_pattern_fields = string_to_dict(repo_file.rfilename, pattern) + assert split_pattern_fields is not None + repo_split = split_pattern_fields["split"] + if repo_split not in repo_splits: + repo_splits.append(repo_split) + + organization, dataset_name = repo_id.split("/") if "/" in repo_id else (None, repo_id) + info_to_dump = self.info.copy() + info_to_dump.download_checksums = None + info_to_dump.download_size = uploaded_size + info_to_dump.dataset_size = dataset_nbytes + info_to_dump.size_in_bytes = uploaded_size + dataset_nbytes + info_to_dump.config_name = config_name + info_to_dump.splits = SplitDict( + {split: SplitInfo(split, num_bytes=dataset_nbytes, num_examples=len(self), dataset_name=dataset_name)} + ) + # get the info from the README to update them + if repo_with_dataset_card: + dataset_card_path = api.hf_hub_download( + repo_id, config.REPOCARD_FILENAME, repo_type="dataset", revision=revision + ) + dataset_card = DatasetCard.load(Path(dataset_card_path)) + dataset_card_data = dataset_card.data + metadata_configs = MetadataConfigs.from_dataset_card_data(dataset_card_data) + dataset_infos: DatasetInfosDict = DatasetInfosDict.from_dataset_card_data(dataset_card_data) + if dataset_infos and config_name in dataset_infos: + repo_info = dataset_infos[config_name] + else: + repo_info = None + # get the deprecated dataset_infos.json to update them + elif repo_with_dataset_infos: + dataset_card = None + dataset_card_data = DatasetCardData() + metadata_configs = MetadataConfigs() + dataset_infos_path = api.hf_hub_download( + repo_id, config.DATASETDICT_INFOS_FILENAME, repo_type="dataset", revision=revision + ) + with open(dataset_infos_path, encoding="utf-8") as f: + dataset_infos: dict = json.load(f) + dataset_info = dataset_infos.get(config_name, None) if dataset_infos else None + repo_info = DatasetInfo.from_dict(dataset_info) if dataset_info else None + else: + dataset_card = None + dataset_card_data = DatasetCardData() + metadata_configs = MetadataConfigs() + repo_info = None + # update the total info to dump from existing info + if repo_info is not None: + logger.info("Updating downloaded metadata with the new split.") + if repo_info.splits and list(repo_info.splits) != [split]: + if self._info.features != repo_info.features: + raise ValueError( + f"Features of the new split don't match the features of the existing splits on the hub: {self._info.features} != {repo_info.features}" + ) + + if split in repo_info.splits: + repo_info.download_size -= deleted_size + repo_info.dataset_size -= repo_info.splits.get(split, SplitInfo()).num_bytes or 0 + + repo_info.download_checksums = None + repo_info.download_size = (repo_info.download_size or 0) + uploaded_size + repo_info.dataset_size = (repo_info.dataset_size or 0) + dataset_nbytes + repo_info.size_in_bytes = repo_info.download_size + repo_info.dataset_size + repo_info.splits.pop(split, None) + repo_info.splits[split] = SplitInfo( + split, num_bytes=dataset_nbytes, num_examples=len(self), dataset_name=dataset_name + ) + info_to_dump = repo_info + # create the metadata configs if it was uploaded with push_to_hub before metadata configs existed + if not metadata_configs and repo_splits: + default_metadata_configs_to_dump = { + "data_files": [{"split": split, "path": f"data/{split}-*"} for split in repo_splits] + } + MetadataConfigs({"default": default_metadata_configs_to_dump}).to_dataset_card_data(dataset_card_data) + # update the metadata configs + if config_name in metadata_configs: + metadata_config = metadata_configs[config_name] + if "data_files" in metadata_config: + data_files_to_dump = sanitize_patterns(metadata_config["data_files"]) + else: + data_files_to_dump = {} + # add the new split + data_files_to_dump[split] = [f"{data_dir}/{split}-*"] + metadata_config_to_dump = { + "data_files": [ + { + "split": _split, + "path": _pattern[0] if len(_pattern) == 1 else _pattern, + } + for _split, _pattern in data_files_to_dump.items() + ] + } + else: + metadata_config_to_dump = {"data_files": [{"split": split, "path": f"{data_dir}/{split}-*"}]} + if set_default and config_name != "default": + if metadata_configs: + default_config_name = metadata_configs.get_default_config_name() + if default_config_name == "default": + raise ValueError( + "There exists a configuration named 'default'. To set a different configuration as default, " + "rename the 'default' one first." + ) + else: + _ = metadata_configs[default_config_name].pop("default") + metadata_config_to_dump["default"] = True + # push to the deprecated dataset_infos.json + if repo_with_dataset_infos: + dataset_infos_path = api.hf_hub_download( + repo_id, config.DATASETDICT_INFOS_FILENAME, repo_type="dataset", revision=revision + ) + with open(dataset_infos_path, encoding="utf-8") as f: + dataset_infos: dict = json.load(f) + dataset_infos[config_name] = asdict(info_to_dump) + additions.append( + CommitOperationAdd( + path_in_repo=config.DATASETDICT_INFOS_FILENAME, + path_or_fileobj=json.dumps(dataset_infos, indent=4).encode("utf-8"), + ) + ) + # push to README + DatasetInfosDict({config_name: info_to_dump}).to_dataset_card_data(dataset_card_data) + MetadataConfigs({config_name: metadata_config_to_dump}).to_dataset_card_data(dataset_card_data) + dataset_card = DatasetCard(f"---\n{dataset_card_data}\n---\n") if dataset_card is None else dataset_card + additions.append( + CommitOperationAdd(path_in_repo=config.REPOCARD_FILENAME, path_or_fileobj=str(dataset_card).encode()) + ) + + commit_message = commit_message if commit_message is not None else "Upload dataset" + if len(additions) <= config.UPLOADS_MAX_NUMBER_PER_COMMIT: + commit_info = api.create_commit( + repo_id, + operations=additions + deletions, + commit_message=commit_message, + commit_description=commit_description, + token=token, + repo_type="dataset", + revision=revision, + create_pr=create_pr, + ) + else: + logger.info( + f"Number of files to upload is larger than {config.UPLOADS_MAX_NUMBER_PER_COMMIT}. Splitting the push into multiple commits." + ) + num_commits = math.ceil(len(additions) / config.UPLOADS_MAX_NUMBER_PER_COMMIT) + for i in range(0, num_commits): + operations = additions[ + i * config.UPLOADS_MAX_NUMBER_PER_COMMIT : (i + 1) * config.UPLOADS_MAX_NUMBER_PER_COMMIT + ] + (deletions if i == 0 else []) + commit_info = api.create_commit( + repo_id, + operations=operations, + commit_message=commit_message + f" (part {i:05d}-of-{num_commits:05d})", + commit_description=commit_description, + token=token, + repo_type="dataset", + revision=revision, + create_pr=create_pr, + ) + logger.info( + f"Commit #{i + 1} completed" + + (f" (still {num_commits - i - 1} to go)" if num_commits - i - 1 else "") + + "." + ) + return commit_info + + @transmit_format + @fingerprint_transform(inplace=False) + def add_column( + self, name: str, column: Union[list, np.array], new_fingerprint: str, feature: Optional[FeatureType] = None + ): + """Add column to Dataset. + + + + Args: + name (`str`): + Column name. + column (`list` or `np.array`): + Column data to be added. + feature (`FeatureType` or `None`, defaults to `None`): + Column datatype. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> more_text = ds["text"] + >>> ds.add_column(name="text_2", column=more_text) + Dataset({ + features: ['text', 'label', 'text_2'], + num_rows: 1066 + }) + ``` + """ + + if feature: + pyarrow_schema = Features({name: feature}).arrow_schema + else: + pyarrow_schema = None + + column_table = InMemoryTable.from_pydict({name: column}, schema=pyarrow_schema) + _check_column_names(self._data.column_names + column_table.column_names) + dataset = self.flatten_indices() if self._indices is not None else self + # Concatenate tables horizontally + table = concat_tables([dataset._data, column_table], axis=1) + # Update features + info = dataset.info.copy() + info.features.update(Features.from_arrow_schema(column_table.schema)) + table = update_metadata_with_features(table, info.features) + return Dataset(table, info=info, split=self.split, indices_table=None, fingerprint=new_fingerprint) + + def add_faiss_index( + self, + column: str, + index_name: Optional[str] = None, + device: Optional[int] = None, + string_factory: Optional[str] = None, + metric_type: Optional[int] = None, + custom_index: Optional["faiss.Index"] = None, # noqa: F821 + batch_size: int = 1000, + train_size: Optional[int] = None, + faiss_verbose: bool = False, + dtype=np.float32, + ): + """Add a dense index using Faiss for fast retrieval. + By default the index is done over the vectors of the specified column. + You can specify `device` if you want to run it on GPU (`device` must be the GPU index). + You can find more information about Faiss here: + + - For [string factory](https://github.com/facebookresearch/faiss/wiki/The-index-factory) + + Args: + column (`str`): + The column of the vectors to add to the index. + index_name (`str`, *optional*): + The `index_name`/identifier of the index. + This is the `index_name` that is used to call [`~datasets.Dataset.get_nearest_examples`] or [`~datasets.Dataset.search`]. + By default it corresponds to `column`. + device (`Union[int, List[int]]`, *optional*): + If positive integer, this is the index of the GPU to use. If negative integer, use all GPUs. + If a list of positive integers is passed in, run only on those GPUs. By default it uses the CPU. + string_factory (`str`, *optional*): + This is passed to the index factory of Faiss to create the index. + Default index class is `IndexFlat`. + metric_type (`int`, *optional*): + Type of metric. Ex: `faiss.METRIC_INNER_PRODUCT` or `faiss.METRIC_L2`. + custom_index (`faiss.Index`, *optional*): + Custom Faiss index that you already have instantiated and configured for your needs. + batch_size (`int`): + Size of the batch to use while adding vectors to the `FaissIndex`. Default value is `1000`. + + train_size (`int`, *optional*): + If the index needs a training step, specifies how many vectors will be used to train the index. + faiss_verbose (`bool`, defaults to `False`): + Enable the verbosity of the Faiss index. + dtype (`data-type`): + The dtype of the numpy arrays that are indexed. + Default is `np.float32`. + + Example: + + ```python + >>> ds = datasets.load_dataset('crime_and_punish', split='train') + >>> ds_with_embeddings = ds.map(lambda example: {'embeddings': embed(example['line']})) + >>> ds_with_embeddings.add_faiss_index(column='embeddings') + >>> # query + >>> scores, retrieved_examples = ds_with_embeddings.get_nearest_examples('embeddings', embed('my new query'), k=10) + >>> # save index + >>> ds_with_embeddings.save_faiss_index('embeddings', 'my_index.faiss') + + >>> ds = datasets.load_dataset('crime_and_punish', split='train') + >>> # load index + >>> ds.load_faiss_index('embeddings', 'my_index.faiss') + >>> # query + >>> scores, retrieved_examples = ds.get_nearest_examples('embeddings', embed('my new query'), k=10) + ``` + """ + with self.formatted_as(type="numpy", columns=[column], dtype=dtype): + super().add_faiss_index( + column=column, + index_name=index_name, + device=device, + string_factory=string_factory, + metric_type=metric_type, + custom_index=custom_index, + batch_size=batch_size, + train_size=train_size, + faiss_verbose=faiss_verbose, + ) + return self + + def add_faiss_index_from_external_arrays( + self, + external_arrays: np.array, + index_name: str, + device: Optional[int] = None, + string_factory: Optional[str] = None, + metric_type: Optional[int] = None, + custom_index: Optional["faiss.Index"] = None, # noqa: F821 + batch_size: int = 1000, + train_size: Optional[int] = None, + faiss_verbose: bool = False, + dtype=np.float32, + ): + """Add a dense index using Faiss for fast retrieval. + The index is created using the vectors of `external_arrays`. + You can specify `device` if you want to run it on GPU (`device` must be the GPU index). + You can find more information about Faiss here: + + - For [string factory](https://github.com/facebookresearch/faiss/wiki/The-index-factory) + + Args: + external_arrays (`np.array`): + If you want to use arrays from outside the lib for the index, you can set `external_arrays`. + It will use `external_arrays` to create the Faiss index instead of the arrays in the given `column`. + index_name (`str`): + The `index_name`/identifier of the index. + This is the `index_name` that is used to call [`~datasets.Dataset.get_nearest_examples`] or [`~datasets.Dataset.search`]. + device (Optional `Union[int, List[int]]`, *optional*): + If positive integer, this is the index of the GPU to use. If negative integer, use all GPUs. + If a list of positive integers is passed in, run only on those GPUs. By default it uses the CPU. + string_factory (`str`, *optional*): + This is passed to the index factory of Faiss to create the index. + Default index class is `IndexFlat`. + metric_type (`int`, *optional*): + Type of metric. Ex: `faiss.faiss.METRIC_INNER_PRODUCT` or `faiss.METRIC_L2`. + custom_index (`faiss.Index`, *optional*): + Custom Faiss index that you already have instantiated and configured for your needs. + batch_size (`int`, *optional*): + Size of the batch to use while adding vectors to the FaissIndex. Default value is 1000. + + train_size (`int`, *optional*): + If the index needs a training step, specifies how many vectors will be used to train the index. + faiss_verbose (`bool`, defaults to False): + Enable the verbosity of the Faiss index. + dtype (`numpy.dtype`): + The dtype of the numpy arrays that are indexed. Default is np.float32. + """ + super().add_faiss_index_from_external_arrays( + external_arrays=external_arrays.astype(dtype), + index_name=index_name, + device=device, + string_factory=string_factory, + metric_type=metric_type, + custom_index=custom_index, + batch_size=batch_size, + train_size=train_size, + faiss_verbose=faiss_verbose, + ) + + def add_elasticsearch_index( + self, + column: str, + index_name: Optional[str] = None, + host: Optional[str] = None, + port: Optional[int] = None, + es_client: Optional["elasticsearch.Elasticsearch"] = None, # noqa: F821 + es_index_name: Optional[str] = None, + es_index_config: Optional[dict] = None, + ): + """Add a text index using ElasticSearch for fast retrieval. This is done in-place. + + Args: + column (`str`): + The column of the documents to add to the index. + index_name (`str`, *optional*): + The `index_name`/identifier of the index. + This is the index name that is used to call [`~Dataset.get_nearest_examples`] or [`~Dataset.search`]. + By default it corresponds to `column`. + host (`str`, *optional*, defaults to `localhost`): + Host of where ElasticSearch is running. + port (`str`, *optional*, defaults to `9200`): + Port of where ElasticSearch is running. + es_client (`elasticsearch.Elasticsearch`, *optional*): + The elasticsearch client used to create the index if host and port are `None`. + es_index_name (`str`, *optional*): + The elasticsearch index name used to create the index. + es_index_config (`dict`, *optional*): + The configuration of the elasticsearch index. + Default config is: + ``` + { + "settings": { + "number_of_shards": 1, + "analysis": {"analyzer": {"stop_standard": {"type": "standard", " stopwords": "_english_"}}}, + }, + "mappings": { + "properties": { + "text": { + "type": "text", + "analyzer": "standard", + "similarity": "BM25" + }, + } + }, + } + ``` + Example: + + ```python + >>> es_client = elasticsearch.Elasticsearch() + >>> ds = datasets.load_dataset('crime_and_punish', split='train') + >>> ds.add_elasticsearch_index(column='line', es_client=es_client, es_index_name="my_es_index") + >>> scores, retrieved_examples = ds.get_nearest_examples('line', 'my new query', k=10) + ``` + """ + with self.formatted_as(type=None, columns=[column]): + super().add_elasticsearch_index( + column=column, + index_name=index_name, + host=host, + port=port, + es_client=es_client, + es_index_name=es_index_name, + es_index_config=es_index_config, + ) + return self + + @transmit_format + @fingerprint_transform(inplace=False) + def add_item(self, item: dict, new_fingerprint: str): + """Add item to Dataset. + + + + Args: + item (`dict`): + Item data to be added. + + Returns: + [`Dataset`] + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> new_review = {'label': 0, 'text': 'this movie is the absolute worst thing I have ever seen'} + >>> ds = ds.add_item(new_review) + >>> ds[-1] + {'label': 0, 'text': 'this movie is the absolute worst thing I have ever seen'} + ``` + """ + item_table = InMemoryTable.from_pydict({k: [v] for k, v in item.items()}) + # We don't call _check_if_features_can_be_aligned here so this cast is "unsafe" + dset_features, item_features = _align_features( + [self._info.features, Features.from_arrow_schema(item_table.schema)] + ) + # Cast to align the schemas of the tables and concatenate the tables + table = concat_tables( + [ + self._data.cast(dset_features.arrow_schema) if self._info.features != dset_features else self._data, + item_table.cast(item_features.arrow_schema), + ] + ) + if self._indices is None: + indices_table = None + else: + item_indices_array = pa.array([len(self._data)], type=pa.uint64()) + item_indices_table = InMemoryTable.from_arrays([item_indices_array], names=["indices"]) + indices_table = concat_tables([self._indices, item_indices_table]) + info = self.info.copy() + info.features.update(item_features) + table = update_metadata_with_features(table, info.features) + return Dataset( + table, + info=info, + split=self.split, + indices_table=indices_table, + fingerprint=new_fingerprint, + ) + + def align_labels_with_mapping(self, label2id: dict, label_column: str) -> "Dataset": + """Align the dataset's label ID and label name mapping to match an input `label2id` mapping. + This is useful when you want to ensure that a model's predicted labels are aligned with the dataset. + The alignment in done using the lowercase label names. + + Args: + label2id (`dict`): + The label name to ID mapping to align the dataset with. + label_column (`str`): + The column name of labels to align on. + + Example: + + ```python + >>> # dataset with mapping {'entailment': 0, 'neutral': 1, 'contradiction': 2} + >>> ds = load_dataset("nyu-mll/glue", "mnli", split="train") + >>> # mapping to align with + >>> label2id = {'CONTRADICTION': 0, 'NEUTRAL': 1, 'ENTAILMENT': 2} + >>> ds_aligned = ds.align_labels_with_mapping(label2id, "label") + ``` + + """ + # Sanity checks + if label_column not in self._data.column_names: + raise ValueError(f"Column ({label_column}) not in table columns ({self._data.column_names}).") + + label_feature = self._info.features[label_column] + if not ( + isinstance(label_feature, ClassLabel) + or (isinstance(label_feature, Sequence) and isinstance(label_feature.feature, ClassLabel)) + ): + raise ValueError( + f"Aligning labels with a mapping is only supported for {ClassLabel.__name__} column or {Sequence.__name__} column with the inner type {ClassLabel.__name__}, and column {label_feature} is of type {type(label_feature).__name__}." + ) + + # Sort input mapping by ID value to ensure the label names are aligned + label2id = dict(sorted(label2id.items(), key=lambda item: item[1])) + label_names = list(label2id.keys()) + # Some label mappings use uppercase label names so we lowercase them during alignment + label2id = {k.lower(): v for k, v in label2id.items()} + int2str_function = ( + label_feature.int2str if isinstance(label_feature, ClassLabel) else label_feature.feature.int2str + ) + + if isinstance(label_feature, ClassLabel): + + def process_label_ids(batch): + dset_label_names = [ + int2str_function(label_id).lower() if label_id is not None else None + for label_id in batch[label_column] + ] + batch[label_column] = [ + label2id[label_name] if label_name is not None else None for label_name in dset_label_names + ] + return batch + + else: + + def process_label_ids(batch): + dset_label_names = [ + [int2str_function(label_id).lower() if label_id is not None else None for label_id in seq] + for seq in batch[label_column] + ] + batch[label_column] = [ + [label2id[label_name] if label_name is not None else None for label_name in seq] + for seq in dset_label_names + ] + return batch + + features = self.features + features[label_column] = ( + ClassLabel(num_classes=len(label_names), names=label_names) + if isinstance(label_feature, ClassLabel) + else Sequence(ClassLabel(num_classes=len(label_names), names=label_names)) + ) + return self.map(process_label_ids, features=features, batched=True, desc="Aligning the labels") + + +def _concatenate_map_style_datasets( + dsets: list[Dataset], + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + axis: int = 0, +): + """ + Converts a list of :class:`Dataset` with the same schema into a single :class:`Dataset`. + When you concatenate on axis 0, missing data are filled with None values. + + Args: + dsets (`List[datasets.Dataset]`): List of Datasets to concatenate. + info (:class:`DatasetInfo`, optional): Dataset information, like description, citation, etc. + split (:class:`NamedSplit`, optional): Name of the dataset split. + axis (``{0, 1}``, default ``0``, meaning over rows): + Axis to concatenate over, where ``0`` means over rows (vertically) and ``1`` means over columns + (horizontally). + + *New in version 1.6.0* + + Example: + + ```py + >>> ds3 = _concatenate_map_style_datasets([ds1, ds2]) + ``` + """ + # Ignore datasets with no rows + if any(dset.num_rows > 0 for dset in dsets): + dsets = [dset for dset in dsets if dset.num_rows > 0] + else: + # Return first dataset if all datasets are empty + return dsets[0] + + # Perform checks (and a potential cast if axis=0) + if axis == 0: + _check_if_features_can_be_aligned([dset.features for dset in dsets]) + else: + if not all(dset.num_rows == dsets[0].num_rows for dset in dsets): + raise ValueError("Number of rows must match for all datasets") + _check_column_names([col_name for dset in dsets for col_name in dset._data.column_names]) + + # Find common format or reset format + format = dsets[0].format + if any(dset.format != format for dset in dsets): + format = {} + logger.info("Some of the datasets have disparate format. Resetting the format of the concatenated dataset.") + + def apply_offset_to_indices_table(table, offset): + if offset == 0: + return table + else: + array = table["indices"] + new_array = pc.add(array, pa.scalar(offset, type=pa.uint64())) + return InMemoryTable.from_arrays([new_array], names=["indices"]) + + # Concatenate indices if they exist + if any(dset._indices is not None for dset in dsets): + if axis == 0: + # Datasets with no indices tables are replaced with a dataset with an indices table in memory. + # Applying an offset to an indices table also brings the table in memory. + indices_tables = [] + for i in range(len(dsets)): + if dsets[i]._indices is None: + dsets[i] = dsets[i]._select_with_indices_mapping(range(len(dsets[i]))) + indices_tables.append(dsets[i]._indices) + + # An offset needs to be applied to the indices before concatenating + offset = 0 + for i in range(len(dsets)): + indices_tables[i] = apply_offset_to_indices_table(indices_tables[i], offset) + offset += len(dsets[i]._data) + + # Concatenate indices + indices_tables = [t for t in indices_tables if len(t) > 0] + if indices_tables: + indices_table = concat_tables(indices_tables) + else: + indices_table = InMemoryTable.from_batches([], schema=pa.schema({"indices": pa.int64()})) + else: + if len(dsets) == 1: + indices_table = dsets[0]._indices + else: + for i in range(len(dsets)): + dsets[i] = dsets[i].flatten_indices() + indices_table = None + else: + indices_table = None + + table = concat_tables([dset._data for dset in dsets], axis=axis) + if axis == 0: + features_list = _align_features([dset.features for dset in dsets]) + else: + features_list = [dset.features for dset in dsets] + table = update_metadata_with_features(table, {k: v for features in features_list for k, v in features.items()}) + + # Concatenate infos + if info is None: + info = DatasetInfo.from_merge([dset.info for dset in dsets]) + fingerprint = update_fingerprint( + "".join(dset._fingerprint for dset in dsets), _concatenate_map_style_datasets, {"info": info, "split": split} + ) + + # Make final concatenated dataset + concatenated_dataset = Dataset( + table, + info=info, + split=split, + indices_table=indices_table, + fingerprint=fingerprint, + ) + concatenated_dataset.set_format(**format) + return concatenated_dataset + + +def _interleave_map_style_datasets( + datasets: list["Dataset"], + probabilities: Optional[list[float]] = None, + seed: Optional[int] = None, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + stopping_strategy: Literal["first_exhausted", "all_exhausted"] = "first_exhausted", + **kwargs, +) -> "Dataset": + """ + Interleave several map-style datasets (sources) into a single map-style dataset. + The new dataset is constructed by alternating between the sources to get the examples. + If `probabilities = None` (default) the new dataset is constructed by cycling between each source to get the examples. + If `probabilities` is not `None, the new dataset is constructed by getting examples from a random source at a time according to the provided probabilities. + + Args: + datasets (`List[Dataset]`): list of datasets to interleave + probabilities (`List[float]`, optional, default None): If specified, the new dataset is constructed by sampling + examples from one source at a time according to these probabilities. + seed (`int`, optional, default None): The random seed used to choose a source for each example. + info (:class:`DatasetInfo`, optional): Dataset information, like description, citation, etc. + split (:class:`NamedSplit`, optional): Name of the dataset split. + stopping_strategy (`str`, defaults to `first_exhausted`): + Two strategies are proposed right now. + By default, `first_exhausted` is an undersampling strategy, i.e the dataset construction is stopped as soon as one dataset has ran out of samples. + If the strategy is `all_exhausted`, we use an oversampling strategy, i.e the dataset construction is stopped as soon as every samples of every dataset has been added at least once. + Note that if the strategy is `all_exhausted`, the interleaved dataset size can get enormous: + - with no probabilities, the resulting dataset will have max_length_datasets*nb_dataset samples. + - with given probabilities, the resulting dataset will have more samples if some datasets have really low probability of visiting. + **kwargs (additional keyword arguments): Keyword arguments to be passed to :meth:`datasets.Datasets.select` when selecting the indices used to interleave the datasets. + + Output: + :class:`datasets.Dataset` + """ + if stopping_strategy not in ["first_exhausted", "all_exhausted"]: + raise ValueError( + f"{stopping_strategy} stopping strategy in `interleave_datasets` is not implemented yet with a list of {type(datasets[0])}" + ) + + # To interleave the datasets, we concatenate them and then we re-order the indices + concatenated_datasets = _concatenate_map_style_datasets(datasets, info=info, split=split) + + # Let's now build the indices to pass to .select() + lengths = [len(dset) for dset in datasets] + offsets = np.cumsum([0] + lengths[:-1]) + + # if stopping_strategy is "first_exhausted", it is an undersampling situation whereas it is an oversampling situation if it is "all_exhausted" + oversampling = stopping_strategy == "all_exhausted" + + if probabilities is None and not oversampling: + # Undersampling situation with cycling between each sources + # Example:: If lengths of the datasets are [3, 4, 5] + # Then the resulting indices should be [0, 3, 7, 1, 4, 8, 2, 6, 9] + # Note that we only have 3 examples per dataset since the first dataset ran out of examples + + # Reasoning behind the following operation: keeping the min_length first indices of each dataset + # while offsetting in order to correspond to the right indices of the concatenated dataset + # and flattening to effectively interleave the datasets + indices = (offsets.reshape(1, -1) + np.arange(min(lengths)).reshape(-1, 1)).flatten().tolist() + elif probabilities is None: + # Oversampling situation with cycling between each sources + # Then the resulting indices should be [0, 3, 7, 1, 4, 8, 2, 5, 9, 0, 6, 10, 1, 3, 11] + # Note that we have 5 examples per dataset with a rolling window since the longest dataset has 5 samples + + # Reasoning behind the following operation: for each dataset indices (i.e column) repeat the indices to have max_length indices per dataset + # For example, if the max_length is 5 and the i-th dataset has 3 samples, the i-th column will be [0,1,2,0,1] + indices = np.mod(np.arange(max(lengths)).reshape(-1, 1), np.array(lengths).reshape(1, -1)) + + # We have to keep the indices to their respective dataset offsets and to flatten to effectively interleave the datasets + indices = (indices + offsets).flatten().tolist() + + else: + # boolean array indicating if at index i if the dataset_i has been fully exhausted + is_exhausted = np.full(len(lengths), False) + + # if undersampling ("first_exhausted"), we stop as soon as one dataset is exhausted + # if oversampling ("all_exhausted"), we stop as soons as every dataset is exhausted, i.e as soon as every samples of every dataset has been visited at least once + bool_strategy_func = np.all if oversampling else np.any + + def iter_random_indices(): + """Get an infinite iterator that randomly samples the index of the source to pick examples from.""" + rng = np.random.default_rng(seed) + while True: + yield from (int(i) for i in rng.choice(len(datasets), size=1000, p=probabilities)) + + current_index = [0] * len(datasets) + indices = [] + for source_idx in iter_random_indices(): + # If no oversampling, we stop as soon as a dataset has ran out of examples (np.any) + # Otherwise, we stop as soon as every dataset has ran out of examples (np.all) + if bool_strategy_func(is_exhausted): + # the stopping condition was reached, let's stop + break + + # let's add the example at the current index of the `source_idx`-th dataset + indices.append(current_index[source_idx] + offsets[source_idx]) + current_index[source_idx] += 1 + + # we've ran out of examples for the current dataset, let's update our boolean array and bring the current_index back to 0 + if current_index[source_idx] >= lengths[source_idx]: + is_exhausted[source_idx] = True + current_index[source_idx] = 0 + + return concatenated_datasets.select(indices, **kwargs) + + +def _split_by_node_map_style_dataset(dataset: Dataset, rank: int, world_size: int) -> Dataset: + """ + Split a dataset for the node at rank `rank` in a pool of nodes of size `world_size`. + Each node is assigned a chunk of data, e.g. rank 0 is given the first chunk of the dataset. + To maximize data loading throughput, chunks are made of contiguous data on disk if possible. + + Args: + dataset ([`Dataset`]): + The dataset to split by node. + rank (`int`): + Rank of the current node. + world_size (`int`): + Total number of nodes. + + Returns: + [`Dataset`]: The dataset to be used on the node at rank `rank`. + """ + return dataset.shard(num_shards=world_size, index=rank, contiguous=True) + + +# This is outside Dataset.filter as it needs to be picklable for multiprocessing + + +def get_indices_from_mask_function( + function: Callable, + batched: bool, + with_indices: bool, + with_rank: bool, + input_columns: Optional[Union[str, list[str]]], + indices_mapping: Optional[Table] = None, + *args, + **fn_kwargs, +): + if batched: + # we extract indices and rank from args + *inputs, indices, rank = args + additional_args = () + if with_indices: + additional_args += (indices,) + if with_rank: + additional_args += (rank,) + mask = function(*inputs, *additional_args, **fn_kwargs) + if isinstance(mask, (pa.Array, pa.ChunkedArray)): + mask = mask.to_pylist() + else: + # we get batched data (to return less data than input) but `function` only accepts one example + # therefore we need to call `function` on each example of the batch to get the mask + *inputs, indices, rank = args + mask = [] + if input_columns is None: + # inputs only contains a batch of examples + batch: dict = inputs[0] + num_examples = len(batch[next(iter(batch.keys()))]) + for i in range(num_examples): + example = {key: batch[key][i] for key in batch} + additional_args = () + if with_indices: + additional_args += (indices[i],) + if with_rank: + additional_args += (rank,) + mask.append(function(example, *additional_args, **fn_kwargs)) + else: + # inputs is a list of columns + columns: list[list] = inputs + num_examples = len(columns[0]) + for i in range(num_examples): + input = [column[i] for column in columns] + additional_args = () + if with_indices: + additional_args += (indices[i],) + if with_rank: + additional_args += (rank,) + mask.append(function(*input, *additional_args, **fn_kwargs)) + indices_array = [i for i, to_keep in zip(indices, mask) if to_keep] + if indices_mapping is not None: + indices_array = pa.array(indices_array, type=pa.uint64()) + indices_array = indices_mapping.column(0).take(indices_array) + indices_array = indices_array.to_pylist() + return {"indices": indices_array} + + +async def async_get_indices_from_mask_function( + function: Callable, + batched: bool, + with_indices: bool, + with_rank: bool, + input_columns: Optional[Union[str, list[str]]], + indices_mapping: Optional[Table] = None, + *args, + **fn_kwargs, +): + """same function but async""" + if batched: + # we extract indices and rank from args + *inputs, indices, rank = args + additional_args = () + if with_indices: + additional_args += (indices,) + if with_rank: + additional_args += (rank,) + mask = await function(*inputs, *additional_args, **fn_kwargs) + if isinstance(mask, (pa.Array, pa.ChunkedArray)): + mask = mask.to_pylist() + else: + # we get batched data (to return less data than input) but `function` only accepts one example + # therefore we need to call `function` on each example of the batch to get the mask + *inputs, indices, rank = args + mask = [] + if input_columns is None: + # inputs only contains a batch of examples + batch: dict = inputs[0] + num_examples = len(batch[next(iter(batch.keys()))]) + for i in range(num_examples): + example = {key: batch[key][i] for key in batch} + additional_args = () + if with_indices: + additional_args += (indices[i],) + if with_rank: + additional_args += (rank,) + mask.append(await function(example, *additional_args, **fn_kwargs)) + else: + # inputs is a list of columns + columns: list[list] = inputs + num_examples = len(columns[0]) + for i in range(num_examples): + input = [column[i] for column in columns] + additional_args = () + if with_indices: + additional_args += (indices[i],) + if with_rank: + additional_args += (rank,) + mask.append(await function(*input, *additional_args, **fn_kwargs)) + indices_array = [i for i, to_keep in zip(indices, mask) if to_keep] + if indices_mapping is not None: + indices_array = pa.array(indices_array, type=pa.uint64()) + indices_array = indices_mapping.column(0).take(indices_array) + indices_array = indices_array.to_pylist() + return {"indices": indices_array} diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/arrow_reader.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/arrow_reader.py new file mode 100644 index 0000000000000000000000000000000000000000..3bbb58a59c3966d2f039ebb5d9ef86997d4c3cbd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/arrow_reader.py @@ -0,0 +1,620 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""Arrow ArrowReader.""" + +import copy +import math +import os +import re +from dataclasses import dataclass +from functools import partial +from typing import TYPE_CHECKING, Optional, Union + +import pyarrow as pa +import pyarrow.parquet as pq +from tqdm.contrib.concurrent import thread_map + +from .download.download_config import DownloadConfig # noqa: F401 +from .naming import _split_re, filenames_for_dataset_split +from .table import InMemoryTable, MemoryMappedTable, Table, concat_tables +from .utils import logging +from .utils import tqdm as hf_tqdm + + +if TYPE_CHECKING: + from .info import DatasetInfo # noqa: F401 + from .splits import Split, SplitInfo # noqa: F401 + + +logger = logging.get_logger(__name__) + +HF_GCP_BASE_URL = "https://storage.googleapis.com/huggingface-nlp/cache/datasets" + +_SUB_SPEC_RE = re.compile( + rf""" +^ + (?P{_split_re[1:-1]}) + (\[ + ((?P-?[\d_]+) + (?P%)?)? + : + ((?P-?[\d_]+) + (?P%)?)? + \])?(\((?P[^\)]*)\))? +$ +""", # remove ^ and $ + re.X, +) + +_ADDITION_SEP_RE = re.compile(r"\s*\+\s*") + + +class DatasetNotOnHfGcsError(ConnectionError): + """When you can't get the dataset from the Hf google cloud storage""" + + pass + + +class MissingFilesOnHfGcsError(ConnectionError): + """When some files are missing on the Hf oogle cloud storage""" + + pass + + +@dataclass(frozen=True) +class FileInstructions: + """The file instructions associated with a split ReadInstruction. + + Attributes: + num_examples: `int`, The total number of examples + file_instructions: List[dict(filename, skip, take)], the files information. + The filenames contains the relative path, not absolute. + skip/take indicates which example read in the file: `ds.slice(skip, take)` + """ + + num_examples: int + file_instructions: list[dict] + + +def make_file_instructions( + name: str, + split_infos: list["SplitInfo"], + instruction: Union[str, "ReadInstruction"], + filetype_suffix: Optional[str] = None, + prefix_path: Optional[str] = None, +) -> FileInstructions: + """Returns instructions of the split dict. + + Args: + name (`str`): Name of the dataset. + split_infos (`list` of `[SplitInfo]`): Dataset splits information. + instruction ([`ReadInstruction`] or `str`): Reading instruction for a dataset. + filetype_suffix (`str`, *optional*): Suffix of dataset files, e.g. 'arrow' or 'parquet'. + prefix_path (`str`, *optional*): Prefix of dataset files, e.g. directory name. + + Returns: + [`FileInstructions`] + """ + if not isinstance(name, str): + raise TypeError(f"Expected str 'name', but got: {type(name).__name__}") + elif not name: + raise ValueError("Expected non-empty str 'name'") + name2len = {info.name: info.num_examples for info in split_infos} + name2shard_lengths = {info.name: info.shard_lengths for info in split_infos} + name2filenames = { + info.name: filenames_for_dataset_split( + path=prefix_path, + dataset_name=name, + split=info.name, + filetype_suffix=filetype_suffix, + shard_lengths=name2shard_lengths[info.name], + ) + for info in split_infos + } + if not isinstance(instruction, ReadInstruction): + instruction = ReadInstruction.from_spec(instruction) + # Create the absolute instruction (per split) + absolute_instructions = instruction.to_absolute(name2len) + + # For each split, return the files instruction (skip/take) + file_instructions = [] + num_examples = 0 + for abs_instr in absolute_instructions: + split_length = name2len[abs_instr.splitname] + filenames = name2filenames[abs_instr.splitname] + shard_lengths = name2shard_lengths[abs_instr.splitname] + from_ = 0 if abs_instr.from_ is None else abs_instr.from_ + to = split_length if abs_instr.to is None else abs_instr.to + if shard_lengths is None: # not sharded + for filename in filenames: + take = to - from_ + if take == 0: + continue + num_examples += take + file_instructions.append({"filename": filename, "skip": from_, "take": take}) + else: # sharded + index_start = 0 # Beginning (included) of moving window. + index_end = 0 # End (excluded) of moving window. + for filename, shard_length in zip(filenames, shard_lengths): + index_end += shard_length + if from_ < index_end and to > index_start: # There is something to take. + skip = from_ - index_start if from_ > index_start else 0 + take = to - index_start - skip if to < index_end else -1 + if take == 0: + continue + file_instructions.append({"filename": filename, "skip": skip, "take": take}) + num_examples += shard_length - skip if take == -1 else take + index_start += shard_length + return FileInstructions( + num_examples=num_examples, + file_instructions=file_instructions, + ) + + +class BaseReader: + """ + Build a Dataset object out of Instruction instance(s). + """ + + def __init__(self, path: str, info: Optional["DatasetInfo"]): + """Initializes ArrowReader. + + Args: + path (str): path where tfrecords are stored. + info (DatasetInfo): info about the dataset. + """ + self._path: str = path + self._info: Optional["DatasetInfo"] = info + self._filetype_suffix: Optional[str] = None + + def _get_table_from_filename(self, filename_skip_take, in_memory=False) -> Table: + """Returns a Dataset instance from given (filename, skip, take).""" + raise NotImplementedError + + def _read_files(self, files, in_memory=False) -> Table: + """Returns Dataset for given file instructions. + + Args: + files: List[dict(filename, skip, take)], the files information. + The filenames contain the absolute path, not relative. + skip/take indicates which example read in the file: `ds.slice(skip, take)` + in_memory (bool, default False): Whether to copy the data in-memory. + """ + if len(files) == 0 or not all(isinstance(f, dict) for f in files): + raise ValueError("please provide valid file informations") + files = copy.deepcopy(files) + for f in files: + f["filename"] = os.path.join(self._path, f["filename"]) + + pa_tables = thread_map( + partial(self._get_table_from_filename, in_memory=in_memory), + files, + tqdm_class=hf_tqdm, + desc="Loading dataset shards", + # set `disable=None` rather than `disable=False` by default to disable progress bar when no TTY attached + disable=len(files) <= 16 or None, + ) + pa_tables = [t for t in pa_tables if len(t) > 0] + if not pa_tables and (self._info is None or self._info.features is None): + raise ValueError( + "Tried to read an empty table. Please specify at least info.features to create an empty table with the right type." + ) + pa_tables = pa_tables or [InMemoryTable.from_batches([], schema=pa.schema(self._info.features.type))] + pa_table = concat_tables(pa_tables) if len(pa_tables) != 1 else pa_tables[0] + return pa_table + + def get_file_instructions(self, name, instruction, split_infos): + """Return list of dict {'filename': str, 'skip': int, 'take': int}""" + file_instructions = make_file_instructions( + name, split_infos, instruction, filetype_suffix=self._filetype_suffix, prefix_path=self._path + ) + files = file_instructions.file_instructions + return files + + def read( + self, + name, + instructions, + split_infos, + in_memory=False, + ): + """Returns Dataset instance(s). + + Args: + name (str): name of the dataset. + instructions (ReadInstruction): instructions to read. + Instruction can be string and will then be passed to the Instruction + constructor as it. + split_infos (list of SplitInfo proto): the available splits for dataset. + in_memory (bool, default False): Whether to copy the data in-memory. + + Returns: + kwargs to build a single Dataset instance. + """ + + files = self.get_file_instructions(name, instructions, split_infos) + if not files: + msg = f'Instruction "{instructions}" corresponds to no data!' + raise ValueError(msg) + return self.read_files(files=files, original_instructions=instructions, in_memory=in_memory) + + def read_files( + self, + files: list[dict], + original_instructions: Union[None, "ReadInstruction", "Split"] = None, + in_memory=False, + ): + """Returns single Dataset instance for the set of file instructions. + + Args: + files: List[dict(filename, skip, take)], the files information. + The filenames contains the relative path, not absolute. + skip/take indicates which example read in the file: `ds.skip().take()` + original_instructions: store the original instructions used to build the dataset split in the dataset. + in_memory (bool, default False): Whether to copy the data in-memory. + + Returns: + kwargs to build a Dataset instance. + """ + # Prepend path to filename + pa_table = self._read_files(files, in_memory=in_memory) + # If original_instructions is not None, convert it to a human-readable NamedSplit + if original_instructions is not None: + from .splits import Split # noqa + + split = Split(str(original_instructions)) + else: + split = None + dataset_kwargs = {"arrow_table": pa_table, "info": self._info, "split": split} + return dataset_kwargs + + +class ArrowReader(BaseReader): + """ + Build a Dataset object out of Instruction instance(s). + This Reader uses either memory mapping or file descriptors (in-memory) on arrow files. + """ + + def __init__(self, path: str, info: Optional["DatasetInfo"]): + """Initializes ArrowReader. + + Args: + path (str): path where Arrow files are stored. + info (DatasetInfo): info about the dataset. + """ + super().__init__(path, info) + self._filetype_suffix = "arrow" + + def _get_table_from_filename(self, filename_skip_take, in_memory=False) -> Table: + """Returns a Dataset instance from given (filename, skip, take).""" + filename, skip, take = ( + filename_skip_take["filename"], + filename_skip_take["skip"] if "skip" in filename_skip_take else None, + filename_skip_take["take"] if "take" in filename_skip_take else None, + ) + table = ArrowReader.read_table(filename, in_memory=in_memory) + if take == -1: + take = len(table) - skip + # here we don't want to slice an empty table, or it may segfault + if skip is not None and take is not None and not (skip == 0 and take == len(table)): + table = table.slice(skip, take) + return table + + @staticmethod + def read_table(filename, in_memory=False) -> Table: + """ + Read table from file. + + Args: + filename (str): File name of the table. + in_memory (bool, default=False): Whether to copy the data in-memory. + + Returns: + pyarrow.Table + """ + table_cls = InMemoryTable if in_memory else MemoryMappedTable + return table_cls.from_file(filename) + + +class ParquetReader(BaseReader): + """ + Build a Dataset object out of Instruction instance(s). + This Reader uses memory mapping on parquet files. + """ + + def __init__(self, path: str, info: Optional["DatasetInfo"]): + """Initializes ParquetReader. + + Args: + path (str): path where tfrecords are stored. + info (DatasetInfo): info about the dataset. + """ + super().__init__(path, info) + self._filetype_suffix = "parquet" + + def _get_table_from_filename(self, filename_skip_take, **kwargs): + """Returns a Dataset instance from given (filename, skip, take).""" + filename, skip, take = ( + filename_skip_take["filename"], + filename_skip_take["skip"] if "skip" in filename_skip_take else None, + filename_skip_take["take"] if "take" in filename_skip_take else None, + ) + # Parquet read_table always loads data in memory, independently of memory_map + pa_table = pq.read_table(filename, memory_map=True) + # here we don't want to slice an empty table, or it may segfault + if skip is not None and take is not None and not (skip == 0 and take == len(pa_table)): + pa_table = pa_table.slice(skip, take) + return pa_table + + +@dataclass(frozen=True) +class _AbsoluteInstruction: + """A machine friendly slice: defined absolute positive boundaries.""" + + splitname: str + from_: int # uint (starting index). + to: int # uint (ending index). + + +@dataclass(frozen=True) +class _RelativeInstruction: + """Represents a single parsed slicing instruction, can use % and negatives.""" + + splitname: str + from_: Optional[int] = None # int (starting index) or None if no lower boundary. + to: Optional[int] = None # int (ending index) or None if no upper boundary. + unit: Optional[str] = None + rounding: Optional[str] = None + + def __post_init__(self): + if self.unit is not None and self.unit not in ["%", "abs"]: + raise ValueError("unit must be either % or abs") + if self.rounding is not None and self.rounding not in ["closest", "pct1_dropremainder"]: + raise ValueError("rounding must be either closest or pct1_dropremainder") + if self.unit != "%" and self.rounding is not None: + raise ValueError("It is forbidden to specify rounding if not using percent slicing.") + if self.unit == "%" and self.from_ is not None and abs(self.from_) > 100: + raise ValueError("Percent slice boundaries must be > -100 and < 100.") + if self.unit == "%" and self.to is not None and abs(self.to) > 100: + raise ValueError("Percent slice boundaries must be > -100 and < 100.") + # Update via __dict__ due to instance being "frozen" + self.__dict__["rounding"] = "closest" if self.rounding is None and self.unit == "%" else self.rounding + + +def _str_to_read_instruction(spec): + """Returns ReadInstruction for given string.""" + res = _SUB_SPEC_RE.match(spec) + if not res: + raise ValueError(f"Unrecognized instruction format: {spec}") + unit = "%" if res.group("from_pct") or res.group("to_pct") else "abs" + return ReadInstruction( + split_name=res.group("split"), + rounding=res.group("rounding"), + from_=int(res.group("from")) if res.group("from") else None, + to=int(res.group("to")) if res.group("to") else None, + unit=unit, + ) + + +def _pct_to_abs_pct1(boundary, num_examples): + # Using math.trunc here, since -99.5% should give -99%, not -100%. + if num_examples < 100: + msg = ( + 'Using "pct1_dropremainder" rounding on a split with less than 100 ' + "elements is forbidden: it always results in an empty dataset." + ) + raise ValueError(msg) + return boundary * math.trunc(num_examples / 100.0) + + +def _pct_to_abs_closest(boundary, num_examples): + return int(round(boundary * num_examples / 100.0)) + + +def _rel_to_abs_instr(rel_instr, name2len): + """Returns _AbsoluteInstruction instance for given RelativeInstruction. + + Args: + rel_instr: RelativeInstruction instance. + name2len: dict {split_name: num_examples}. + """ + pct_to_abs = _pct_to_abs_closest if rel_instr.rounding == "closest" else _pct_to_abs_pct1 + split = rel_instr.splitname + if split not in name2len: + raise ValueError(f'Unknown split "{split}". Should be one of {list(name2len)}.') + num_examples = name2len[split] + from_ = rel_instr.from_ + to = rel_instr.to + if rel_instr.unit == "%": + from_ = 0 if from_ is None else pct_to_abs(from_, num_examples) + to = num_examples if to is None else pct_to_abs(to, num_examples) + else: + from_ = 0 if from_ is None else from_ + to = num_examples if to is None else to + if from_ < 0: + from_ = max(num_examples + from_, 0) + if to < 0: + to = max(num_examples + to, 0) + from_ = min(from_, num_examples) + to = min(to, num_examples) + return _AbsoluteInstruction(split, from_, to) + + +class ReadInstruction: + """Reading instruction for a dataset. + + Examples:: + + # The following lines are equivalent: + ds = datasets.load_dataset('mnist', split='test[:33%]') + ds = datasets.load_dataset('mnist', split=datasets.ReadInstruction.from_spec('test[:33%]')) + ds = datasets.load_dataset('mnist', split=datasets.ReadInstruction('test', to=33, unit='%')) + ds = datasets.load_dataset('mnist', split=datasets.ReadInstruction( + 'test', from_=0, to=33, unit='%')) + + # The following lines are equivalent: + ds = datasets.load_dataset('mnist', split='test[:33%]+train[1:-1]') + ds = datasets.load_dataset('mnist', split=datasets.ReadInstruction.from_spec( + 'test[:33%]+train[1:-1]')) + ds = datasets.load_dataset('mnist', split=( + datasets.ReadInstruction('test', to=33, unit='%') + + datasets.ReadInstruction('train', from_=1, to=-1, unit='abs'))) + + # The following lines are equivalent: + ds = datasets.load_dataset('mnist', split='test[:33%](pct1_dropremainder)') + ds = datasets.load_dataset('mnist', split=datasets.ReadInstruction.from_spec( + 'test[:33%](pct1_dropremainder)')) + ds = datasets.load_dataset('mnist', split=datasets.ReadInstruction( + 'test', from_=0, to=33, unit='%', rounding="pct1_dropremainder")) + + # 10-fold validation: + tests = datasets.load_dataset( + 'mnist', + [datasets.ReadInstruction('train', from_=k, to=k+10, unit='%') + for k in range(0, 100, 10)]) + trains = datasets.load_dataset( + 'mnist', + [datasets.ReadInstruction('train', to=k, unit='%') + datasets.ReadInstruction('train', from_=k+10, unit='%') + for k in range(0, 100, 10)]) + + """ + + def _init(self, relative_instructions): + # Private initializer. + self._relative_instructions = relative_instructions + + @classmethod + def _read_instruction_from_relative_instructions(cls, relative_instructions): + """Returns ReadInstruction obj initialized with relative_instructions.""" + # Use __new__ to bypass __init__ used by public API and not conveniant here. + result = cls.__new__(cls) + result._init(relative_instructions) # pylint: disable=protected-access + return result + + def __init__(self, split_name, rounding=None, from_=None, to=None, unit=None): + """Initialize ReadInstruction. + + Args: + split_name (str): name of the split to read. Eg: 'train'. + rounding (str, optional): The rounding behaviour to use when percent slicing is + used. Ignored when slicing with absolute indices. + Possible values: + - 'closest' (default): The specified percentages are rounded to the + closest value. Use this if you want specified percents to be as + much exact as possible. + - 'pct1_dropremainder': the specified percentages are treated as + multiple of 1%. Use this option if you want consistency. Eg: + len(5%) == 5 * len(1%). + Using this option, one might not be able to use the full set of + examples, if the number of those is not a multiple of 100. + from_ (int): + to (int): alternative way of specifying slicing boundaries. If any of + {from_, to, unit} argument is used, slicing cannot be specified as + string. + unit (str): optional, one of: + '%': to set the slicing unit as percents of the split size. + 'abs': to set the slicing unit as absolute numbers. + """ + # This constructor is not always called. See factory method + # `_read_instruction_from_relative_instructions`. Common init instructions + # MUST be placed in the _init method. + self._init([_RelativeInstruction(split_name, from_, to, unit, rounding)]) + + @classmethod + def from_spec(cls, spec): + """Creates a `ReadInstruction` instance out of a string spec. + + Args: + spec (`str`): + Split(s) + optional slice(s) to read + optional rounding + if percents are used as the slicing unit. A slice can be specified, + using absolute numbers (`int`) or percentages (`int`). + + Examples: + + ``` + test: test split. + test + validation: test split + validation split. + test[10:]: test split, minus its first 10 records. + test[:10%]: first 10% records of test split. + test[:20%](pct1_dropremainder): first 10% records, rounded with the pct1_dropremainder rounding. + test[:-5%]+train[40%:60%]: first 95% of test + middle 20% of train. + ``` + + Returns: + ReadInstruction instance. + """ + spec = str(spec) # Need to convert to str in case of NamedSplit instance. + subs = _ADDITION_SEP_RE.split(spec) + if not subs: + raise ValueError(f"No instructions could be built out of {spec}") + instruction = _str_to_read_instruction(subs[0]) + return sum((_str_to_read_instruction(sub) for sub in subs[1:]), instruction) + + def to_spec(self): + rel_instr_specs = [] + for rel_instr in self._relative_instructions: + rel_instr_spec = rel_instr.splitname + if rel_instr.from_ is not None or rel_instr.to is not None: + from_ = rel_instr.from_ + to = rel_instr.to + unit = rel_instr.unit + rounding = rel_instr.rounding + unit = unit if unit == "%" else "" + from_ = str(from_) + unit if from_ is not None else "" + to = str(to) + unit if to is not None else "" + slice_str = f"[{from_}:{to}]" + rounding_str = ( + f"({rounding})" if unit == "%" and rounding is not None and rounding != "closest" else "" + ) + rel_instr_spec += slice_str + rounding_str + rel_instr_specs.append(rel_instr_spec) + return "+".join(rel_instr_specs) + + def __add__(self, other): + """Returns a new ReadInstruction obj, result of appending other to self.""" + if not isinstance(other, ReadInstruction): + msg = "ReadInstruction can only be added to another ReadInstruction obj." + raise TypeError(msg) + self_ris = self._relative_instructions + other_ris = other._relative_instructions # pylint: disable=protected-access + if ( + self_ris[0].unit != "abs" + and other_ris[0].unit != "abs" + and self._relative_instructions[0].rounding != other_ris[0].rounding + ): + raise ValueError("It is forbidden to sum ReadInstruction instances with different rounding values.") + return self._read_instruction_from_relative_instructions(self_ris + other_ris) + + def __str__(self): + return self.to_spec() + + def __repr__(self): + return f"ReadInstruction({self._relative_instructions})" + + def to_absolute(self, name2len): + """Translate instruction into a list of absolute instructions. + + Those absolute instructions are then to be added together. + + Args: + name2len (`dict`): + Associating split names to number of examples. + + Returns: + list of _AbsoluteInstruction instances (corresponds to the + in spec). + """ + return [_rel_to_abs_instr(rel_instr, name2len) for rel_instr in self._relative_instructions] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/arrow_writer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/arrow_writer.py new file mode 100644 index 0000000000000000000000000000000000000000..64097b773f164e06a17085367e7a4e9b7e3fd1ed --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/arrow_writer.py @@ -0,0 +1,677 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""To write records into Parquet files.""" + +import json +import sys +from collections.abc import Iterable +from typing import Any, Optional, Union + +import fsspec +import numpy as np +import pyarrow as pa +import pyarrow.parquet as pq +from fsspec.core import url_to_fs + +from . import config +from .features import Audio, Features, Image, Pdf, Value, Video +from .features.features import ( + FeatureType, + _ArrayXDExtensionType, + _visit, + cast_to_python_objects, + generate_from_arrow_type, + get_nested_type, + list_of_np_array_to_pyarrow_listarray, + numpy_to_pyarrow_listarray, + to_pyarrow_listarray, +) +from .filesystems import is_remote_filesystem +from .info import DatasetInfo +from .keyhash import DuplicatedKeysError, KeyHasher +from .table import array_cast, cast_array_to_feature, embed_table_storage, table_cast +from .utils import logging +from .utils.py_utils import asdict, first_non_null_non_empty_value + + +logger = logging.get_logger(__name__) + +type_ = type # keep python's type function + + +def get_writer_batch_size(features: Optional[Features]) -> Optional[int]: + """ + Get the writer_batch_size that defines the maximum row group size in the parquet files. + The default in `datasets` is 1,000 but we lower it to 100 for image/audio datasets and 10 for videos. + This allows to optimize random access to parquet file, since accessing 1 row requires + to read its entire row group. + + This can be improved to get optimized size for querying/iterating + but at least it matches the dataset viewer expectations on HF. + + Args: + features (`datasets.Features` or `None`): + Dataset Features from `datasets`. + Returns: + writer_batch_size (`Optional[int]`): + Writer batch size to pass to a dataset builder. + If `None`, then it will use the `datasets` default. + """ + if not features: + return None + + batch_size = np.inf + + def set_batch_size(feature: FeatureType) -> None: + nonlocal batch_size + if isinstance(feature, Image): + batch_size = min(batch_size, config.PARQUET_ROW_GROUP_SIZE_FOR_IMAGE_DATASETS) + elif isinstance(feature, Audio): + batch_size = min(batch_size, config.PARQUET_ROW_GROUP_SIZE_FOR_AUDIO_DATASETS) + elif isinstance(feature, Video): + batch_size = min(batch_size, config.PARQUET_ROW_GROUP_SIZE_FOR_VIDEO_DATASETS) + elif isinstance(feature, Value) and feature.dtype == "binary": + batch_size = min(batch_size, config.PARQUET_ROW_GROUP_SIZE_FOR_BINARY_DATASETS) + + _visit(features, set_batch_size) + + return None if batch_size is np.inf else batch_size + + +class SchemaInferenceError(ValueError): + pass + + +class TypedSequence: + """ + This data container generalizes the typing when instantiating pyarrow arrays, tables or batches. + + More specifically it adds several features: + - Support extension types like ``datasets.features.Array2DExtensionType``: + By default pyarrow arrays don't return extension arrays. One has to call + ``pa.ExtensionArray.from_storage(type, pa.array(data, type.storage_type))`` + in order to get an extension array. + - Support for ``try_type`` parameter that can be used instead of ``type``: + When an array is transformed, we like to keep the same type as before if possible. + For example when calling :func:`datasets.Dataset.map`, we don't want to change the type + of each column by default. + - Better error message when a pyarrow array overflows. + + Example:: + + from datasets.features import Array2D, Array2DExtensionType, Value + from datasets.arrow_writer import TypedSequence + import pyarrow as pa + + arr = pa.array(TypedSequence([1, 2, 3], type=Value("int32"))) + assert arr.type == pa.int32() + + arr = pa.array(TypedSequence([1, 2, 3], try_type=Value("int32"))) + assert arr.type == pa.int32() + + arr = pa.array(TypedSequence(["foo", "bar"], try_type=Value("int32"))) + assert arr.type == pa.string() + + arr = pa.array(TypedSequence([[[1, 2, 3]]], type=Array2D((1, 3), "int64"))) + assert arr.type == Array2DExtensionType((1, 3), "int64") + + table = pa.Table.from_pydict({ + "image": TypedSequence([[[1, 2, 3]]], type=Array2D((1, 3), "int64")) + }) + assert table["image"].type == Array2DExtensionType((1, 3), "int64") + + """ + + def __init__( + self, + data: Iterable, + type: Optional[FeatureType] = None, + try_type: Optional[FeatureType] = None, + optimized_int_type: Optional[FeatureType] = None, + ): + # assert type is None or try_type is None, + if type is not None and try_type is not None: + raise ValueError("You cannot specify both type and try_type") + # set attributes + self.data = data + self.type = type + self.try_type = try_type # is ignored if it doesn't match the data + self.optimized_int_type = optimized_int_type + # when trying a type (is ignored if data is not compatible) + self.trying_type = self.try_type is not None + self.trying_int_optimization = optimized_int_type is not None and type is None and try_type is None + # used to get back the inferred type after __arrow_array__() is called once + self._inferred_type = None + + def get_inferred_type(self) -> FeatureType: + """Return the inferred feature type. + This is done by converting the sequence to an Arrow array, and getting the corresponding + feature type. + + Since building the Arrow array can be expensive, the value of the inferred type is cached + as soon as pa.array is called on the typed sequence. + + Returns: + FeatureType: inferred feature type of the sequence. + """ + if self._inferred_type is None: + self._inferred_type = generate_from_arrow_type(pa.array(self).type) + return self._inferred_type + + @staticmethod + def _infer_custom_type_and_encode(data: Iterable) -> tuple[Iterable, Optional[FeatureType]]: + """Implement type inference for custom objects like PIL.Image.Image -> Image type. + + This function is only used for custom python objects that can't be directly passed to build + an Arrow array. In such cases is infers the feature type to use, and it encodes the data so + that they can be passed to an Arrow array. + + Args: + data (Iterable): array of data to infer the type, e.g. a list of PIL images. + + Returns: + Tuple[Iterable, Optional[FeatureType]]: a tuple with: + - the (possibly encoded) array, if the inferred feature type requires encoding + - the inferred feature type if the array is made of supported custom objects like + PIL images, else None. + """ + if config.PIL_AVAILABLE and "PIL" in sys.modules: + import PIL.Image + + non_null_idx, non_null_value = first_non_null_non_empty_value(data) + if isinstance(non_null_value, PIL.Image.Image): + return [Image().encode_example(value) if value is not None else None for value in data], Image() + if isinstance(non_null_value, list) and isinstance(non_null_value[0], PIL.Image.Image): + return [[Image().encode_example(x) for x in value] if value is not None else None for value in data], [ + Image() + ] + if config.PDFPLUMBER_AVAILABLE and "pdfplumber" in sys.modules: + import pdfplumber + + non_null_idx, non_null_value = first_non_null_non_empty_value(data) + if isinstance(non_null_value, pdfplumber.pdf.PDF): + return [Pdf().encode_example(value) if value is not None else None for value in data], Pdf() + if isinstance(non_null_value, list) and isinstance(non_null_value[0], pdfplumber.pdf.PDF): + return [[Pdf().encode_example(x) for x in value] if value is not None else None for value in data], [ + Pdf() + ] + return data, None + + def __arrow_array__(self, type: Optional[pa.DataType] = None): + """This function is called when calling pa.array(typed_sequence)""" + + if type is not None: + raise ValueError("TypedSequence is supposed to be used with pa.array(typed_sequence, type=None)") + del type # make sure we don't use it + data = self.data + # automatic type inference for custom objects + if self.type is None and self.try_type is None: + data, self._inferred_type = self._infer_custom_type_and_encode(data) + if self._inferred_type is None: + type = self.try_type if self.trying_type else self.type + else: + type = self._inferred_type + pa_type = get_nested_type(type) if type is not None else None + optimized_int_pa_type = ( + get_nested_type(self.optimized_int_type) if self.optimized_int_type is not None else None + ) + trying_cast_to_python_objects = False + try: + # custom pyarrow types + if isinstance(pa_type, _ArrayXDExtensionType): + storage = to_pyarrow_listarray(data, pa_type) + return pa.ExtensionArray.from_storage(pa_type, storage) + + # efficient np array to pyarrow array + if isinstance(data, np.ndarray): + out = numpy_to_pyarrow_listarray(data) + elif isinstance(data, list) and data and isinstance(first_non_null_non_empty_value(data)[1], np.ndarray): + out = list_of_np_array_to_pyarrow_listarray(data) + else: + trying_cast_to_python_objects = True + out = pa.array(cast_to_python_objects(data, only_1d_for_numpy=True)) + # use smaller integer precisions if possible + if self.trying_int_optimization: + if pa.types.is_int64(out.type): + out = out.cast(optimized_int_pa_type) + elif pa.types.is_list(out.type): + if pa.types.is_int64(out.type.value_type): + out = array_cast(out, pa.list_(optimized_int_pa_type)) + elif pa.types.is_list(out.type.value_type) and pa.types.is_int64(out.type.value_type.value_type): + out = array_cast(out, pa.list_(pa.list_(optimized_int_pa_type))) + # otherwise we can finally use the user's type + elif type is not None: + # We use cast_array_to_feature to support casting to custom types like Audio and Image + # Also, when trying type "string", we don't want to convert integers or floats to "string". + # We only do it if trying_type is False - since this is what the user asks for. + out = cast_array_to_feature( + out, type, allow_primitive_to_str=not self.trying_type, allow_decimal_to_str=not self.trying_type + ) + return out + except ( + TypeError, + pa.lib.ArrowInvalid, + pa.lib.ArrowNotImplementedError, + ) as e: # handle type errors and overflows + # Ignore ArrowNotImplementedError caused by trying type, otherwise re-raise + if not self.trying_type and isinstance(e, pa.lib.ArrowNotImplementedError): + raise + + if self.trying_type: + try: # second chance + if isinstance(data, np.ndarray): + return numpy_to_pyarrow_listarray(data) + elif isinstance(data, list) and data and any(isinstance(value, np.ndarray) for value in data): + return list_of_np_array_to_pyarrow_listarray(data) + else: + trying_cast_to_python_objects = True + return pa.array(cast_to_python_objects(data, only_1d_for_numpy=True)) + except pa.lib.ArrowInvalid as e: + if "overflow" in str(e): + raise OverflowError( + f"There was an overflow with type {type_(data)}. Try to reduce writer_batch_size to have batches smaller than 2GB.\n({e})" + ) from None + elif self.trying_int_optimization and "not in range" in str(e): + optimized_int_pa_type_str = np.dtype(optimized_int_pa_type.to_pandas_dtype()).name + logger.info( + f"Failed to cast a sequence to {optimized_int_pa_type_str}. Falling back to int64." + ) + return out + elif trying_cast_to_python_objects and "Could not convert" in str(e): + out = pa.array( + cast_to_python_objects(data, only_1d_for_numpy=True, optimize_list_casting=False) + ) + if type is not None: + out = cast_array_to_feature( + out, type, allow_primitive_to_str=True, allow_decimal_to_str=True + ) + return out + else: + raise + elif "overflow" in str(e): + raise OverflowError( + f"There was an overflow with type {type_(data)}. Try to reduce writer_batch_size to have batches smaller than 2GB.\n({e})" + ) from None + elif self.trying_int_optimization and "not in range" in str(e): + optimized_int_pa_type_str = np.dtype(optimized_int_pa_type.to_pandas_dtype()).name + logger.info(f"Failed to cast a sequence to {optimized_int_pa_type_str}. Falling back to int64.") + return out + elif trying_cast_to_python_objects and "Could not convert" in str(e): + out = pa.array(cast_to_python_objects(data, only_1d_for_numpy=True, optimize_list_casting=False)) + if type is not None: + out = cast_array_to_feature(out, type, allow_primitive_to_str=True, allow_decimal_to_str=True) + return out + else: + raise + + +class OptimizedTypedSequence(TypedSequence): + def __init__( + self, + data, + type: Optional[FeatureType] = None, + try_type: Optional[FeatureType] = None, + col: Optional[str] = None, + optimized_int_type: Optional[FeatureType] = None, + ): + optimized_int_type_by_col = { + "attention_mask": Value("int8"), # binary tensor + "special_tokens_mask": Value("int8"), + "input_ids": Value("int32"), # typical vocab size: 0-50k (max ~500k, never > 1M) + "token_type_ids": Value( + "int8" + ), # binary mask; some (XLNetModel) use an additional token represented by a 2 + } + if type is None and try_type is None: + optimized_int_type = optimized_int_type_by_col.get(col, None) + super().__init__(data, type=type, try_type=try_type, optimized_int_type=optimized_int_type) + + +class ArrowWriter: + """Shuffles and writes Examples to Arrow files.""" + + _WRITER_CLASS = pa.RecordBatchStreamWriter + + def __init__( + self, + schema: Optional[pa.Schema] = None, + features: Optional[Features] = None, + path: Optional[str] = None, + stream: Optional[pa.NativeFile] = None, + fingerprint: Optional[str] = None, + writer_batch_size: Optional[int] = None, + hash_salt: Optional[str] = None, + check_duplicates: Optional[bool] = False, + disable_nullable: bool = False, + update_features: bool = False, + with_metadata: bool = True, + unit: str = "examples", + embed_local_files: bool = False, + storage_options: Optional[dict] = None, + ): + if path is None and stream is None: + raise ValueError("At least one of path and stream must be provided.") + if features is not None: + self._features = features + self._schema = None + elif schema is not None: + self._schema: pa.Schema = schema + self._features = Features.from_arrow_schema(self._schema) + else: + self._features = None + self._schema = None + + if hash_salt is not None: + # Create KeyHasher instance using split name as hash salt + self._hasher = KeyHasher(hash_salt) + else: + self._hasher = KeyHasher("") + + self._check_duplicates = check_duplicates + self._disable_nullable = disable_nullable + + if stream is None: + fs, path = url_to_fs(path, **(storage_options or {})) + self._fs: fsspec.AbstractFileSystem = fs + self._path = path if not is_remote_filesystem(self._fs) else self._fs.unstrip_protocol(path) + self.stream = self._fs.open(path, "wb") + self._closable_stream = True + else: + self._fs = None + self._path = None + self.stream = stream + self._closable_stream = False + + self.fingerprint = fingerprint + self.disable_nullable = disable_nullable + self.writer_batch_size = ( + writer_batch_size or get_writer_batch_size(self._features) or config.DEFAULT_MAX_BATCH_SIZE + ) + self.update_features = update_features + self.with_metadata = with_metadata + self.unit = unit + self.embed_local_files = embed_local_files + + self._num_examples = 0 + self._num_bytes = 0 + self.current_examples: list[tuple[dict[str, Any], str]] = [] + self.current_rows: list[pa.Table] = [] + self.pa_writer: Optional[pa.RecordBatchStreamWriter] = None + self.hkey_record = [] + + def __len__(self): + """Return the number of writed and staged examples""" + return self._num_examples + len(self.current_examples) + len(self.current_rows) + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + self.close() + + def close(self): + # Try closing if opened; if closed: pyarrow.lib.ArrowInvalid: Invalid operation on closed file + if self.pa_writer: # it might be None + try: + self.pa_writer.close() + except Exception: # pyarrow.lib.ArrowInvalid, OSError + pass + if self._closable_stream and not self.stream.closed: + self.stream.close() # This also closes self.pa_writer if it is opened + + def _build_writer(self, inferred_schema: pa.Schema): + schema = self.schema + inferred_features = Features.from_arrow_schema(inferred_schema) + if self._features is not None: + if self.update_features: # keep original features it they match, or update them + fields = {field.name: field for field in self._features.type} + for inferred_field in inferred_features.type: + name = inferred_field.name + if name in fields: + if inferred_field == fields[name]: + inferred_features[name] = self._features[name] + self._features = inferred_features + schema: pa.Schema = inferred_schema + else: + self._features = inferred_features + schema: pa.Schema = inferred_features.arrow_schema + if self.disable_nullable: + schema = pa.schema(pa.field(field.name, field.type, nullable=False) for field in schema) + if self.with_metadata: + schema = schema.with_metadata(self._build_metadata(DatasetInfo(features=self._features), self.fingerprint)) + else: + schema = schema.with_metadata({}) + self._schema = schema + self.pa_writer = self._WRITER_CLASS(self.stream, schema) + + @property + def schema(self): + _schema = ( + self._schema + if self._schema is not None + else (pa.schema(self._features.type) if self._features is not None else None) + ) + if self._disable_nullable and _schema is not None: + _schema = pa.schema(pa.field(field.name, field.type, nullable=False) for field in _schema) + return _schema if _schema is not None else [] + + @staticmethod + def _build_metadata(info: DatasetInfo, fingerprint: Optional[str] = None) -> dict[str, str]: + info_keys = ["features"] # we can add support for more DatasetInfo keys in the future + info_as_dict = asdict(info) + metadata = {} + metadata["info"] = {key: info_as_dict[key] for key in info_keys} + if fingerprint is not None: + metadata["fingerprint"] = fingerprint + return {"huggingface": json.dumps(metadata)} + + def write_examples_on_file(self): + """Write stored examples from the write-pool of examples. It makes a table out of the examples and write it.""" + if not self.current_examples: + return + # preserve the order the columns + if self.schema: + schema_cols = set(self.schema.names) + examples_cols = self.current_examples[0][0].keys() # .keys() preserves the order (unlike set) + common_cols = [col for col in self.schema.names if col in examples_cols] + extra_cols = [col for col in examples_cols if col not in schema_cols] + cols = common_cols + extra_cols + else: + cols = list(self.current_examples[0][0]) + batch_examples = {} + for col in cols: + # We use row[0][col] since current_examples contains (example, key) tuples. + # Moreover, examples could be Arrow arrays of 1 element. + # This can happen in `.map()` when we want to re-write the same Arrow data + if all(isinstance(row[0][col], (pa.Array, pa.ChunkedArray)) for row in self.current_examples): + arrays = [row[0][col] for row in self.current_examples] + arrays = [ + chunk + for array in arrays + for chunk in (array.chunks if isinstance(array, pa.ChunkedArray) else [array]) + ] + batch_examples[col] = pa.concat_arrays(arrays) + else: + batch_examples[col] = [ + row[0][col].to_pylist()[0] if isinstance(row[0][col], (pa.Array, pa.ChunkedArray)) else row[0][col] + for row in self.current_examples + ] + self.write_batch(batch_examples=batch_examples) + self.current_examples = [] + + def write_rows_on_file(self): + """Write stored rows from the write-pool of rows. It concatenates the single-row tables and it writes the resulting table.""" + if not self.current_rows: + return + table = pa.concat_tables(self.current_rows) + self.write_table(table) + self.current_rows = [] + + def write( + self, + example: dict[str, Any], + key: Optional[Union[str, int, bytes]] = None, + writer_batch_size: Optional[int] = None, + ): + """Add a given (Example,Key) pair to the write-pool of examples which is written to file. + + Args: + example: the Example to add. + key: Optional, a unique identifier(str, int or bytes) associated with each example + """ + # Utilize the keys and duplicate checking when `self._check_duplicates` is passed True + if self._check_duplicates: + # Create unique hash from key and store as (key, example) pairs + hash = self._hasher.hash(key) + self.current_examples.append((example, hash)) + # Maintain record of keys and their respective hashes for checking duplicates + self.hkey_record.append((hash, key)) + else: + # Store example as a tuple so as to keep the structure of `self.current_examples` uniform + self.current_examples.append((example, "")) + + if writer_batch_size is None: + writer_batch_size = self.writer_batch_size + if writer_batch_size is not None and len(self.current_examples) >= writer_batch_size: + if self._check_duplicates: + self.check_duplicate_keys() + # Re-initializing to empty list for next batch + self.hkey_record = [] + + self.write_examples_on_file() + + def check_duplicate_keys(self): + """Raises error if duplicates found in a batch""" + tmp_record = set() + for hash, key in self.hkey_record: + if hash in tmp_record: + duplicate_key_indices = [ + str(self._num_examples + index) + for index, (duplicate_hash, _) in enumerate(self.hkey_record) + if duplicate_hash == hash + ] + + raise DuplicatedKeysError(key, duplicate_key_indices) + else: + tmp_record.add(hash) + + def write_row(self, row: pa.Table, writer_batch_size: Optional[int] = None): + """Add a given single-row Table to the write-pool of rows which is written to file. + + Args: + row: the row to add. + """ + if len(row) != 1: + raise ValueError(f"Only single-row pyarrow tables are allowed but got table with {len(row)} rows.") + self.current_rows.append(row) + if writer_batch_size is None: + writer_batch_size = self.writer_batch_size + if writer_batch_size is not None and len(self.current_rows) >= writer_batch_size: + self.write_rows_on_file() + + def write_batch( + self, + batch_examples: dict[str, list], + writer_batch_size: Optional[int] = None, + try_original_type: Optional[bool] = True, + ): + """Write a batch of Example to file. + Ignores the batch if it appears to be empty, + preventing a potential schema update of unknown types. + + Args: + batch_examples: the batch of examples to add. + try_original_type: use `try_type` when instantiating OptimizedTypedSequence if `True`, otherwise `try_type = None`. + """ + if batch_examples and len(next(iter(batch_examples.values()))) == 0: + return + features = None if self.pa_writer is None and self.update_features else self._features + try_features = self._features if self.pa_writer is None and self.update_features else None + arrays = [] + inferred_features = Features() + # preserve the order the columns + if self.schema: + schema_cols = set(self.schema.names) + batch_cols = batch_examples.keys() # .keys() preserves the order (unlike set) + common_cols = [col for col in self.schema.names if col in batch_cols] + extra_cols = [col for col in batch_cols if col not in schema_cols] + cols = common_cols + extra_cols + else: + cols = list(batch_examples) + for col in cols: + col_values = batch_examples[col] + col_type = features[col] if features else None + if isinstance(col_values, (pa.Array, pa.ChunkedArray)): + array = cast_array_to_feature(col_values, col_type) if col_type is not None else col_values + arrays.append(array) + inferred_features[col] = generate_from_arrow_type(col_values.type) + else: + col_try_type = ( + try_features[col] + if try_features is not None and col in try_features and try_original_type + else None + ) + typed_sequence = OptimizedTypedSequence(col_values, type=col_type, try_type=col_try_type, col=col) + arrays.append(pa.array(typed_sequence)) + inferred_features[col] = typed_sequence.get_inferred_type() + schema = inferred_features.arrow_schema if self.pa_writer is None else self.schema + pa_table = pa.Table.from_arrays(arrays, schema=schema) + self.write_table(pa_table, writer_batch_size) + + def write_table(self, pa_table: pa.Table, writer_batch_size: Optional[int] = None): + """Write a Table to file. + + Args: + example: the Table to add. + """ + if writer_batch_size is None: + writer_batch_size = self.writer_batch_size + if self.pa_writer is None: + self._build_writer(inferred_schema=pa_table.schema) + pa_table = pa_table.combine_chunks() + pa_table = table_cast(pa_table, self._schema) + if self.embed_local_files: + pa_table = embed_table_storage(pa_table) + self._num_bytes += pa_table.nbytes + self._num_examples += pa_table.num_rows + self.pa_writer.write_table(pa_table, writer_batch_size) + + def finalize(self, close_stream=True): + self.write_rows_on_file() + # In case current_examples < writer_batch_size, but user uses finalize() + if self._check_duplicates: + self.check_duplicate_keys() + # Re-initializing to empty list for next batch + self.hkey_record = [] + self.write_examples_on_file() + # If schema is known, infer features even if no examples were written + if self.pa_writer is None and self.schema: + self._build_writer(self.schema) + if self.pa_writer is not None: + self.pa_writer.close() + self.pa_writer = None + if close_stream: + self.stream.close() + else: + if close_stream: + self.stream.close() + raise SchemaInferenceError("Please pass `features` or at least one example when writing data") + logger.debug( + f"Done writing {self._num_examples} {self.unit} in {self._num_bytes} bytes {self._path if self._path else ''}." + ) + return self._num_examples, self._num_bytes + + +class ParquetWriter(ArrowWriter): + _WRITER_CLASS = pq.ParquetWriter diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/builder.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/builder.py new file mode 100644 index 0000000000000000000000000000000000000000..d6992b9e19db65e1c1512df6462d85f19c2be8e2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/builder.py @@ -0,0 +1,1903 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""DatasetBuilder base class.""" + +import abc +import contextlib +import copy +import inspect +import os +import posixpath +import shutil +import textwrap +import time +import urllib +from collections.abc import Iterable, Mapping +from dataclasses import dataclass +from functools import partial +from pathlib import Path +from typing import TYPE_CHECKING, Optional, Union +from unittest.mock import patch + +import fsspec +from fsspec.core import url_to_fs +from multiprocess import Pool +from tqdm.contrib.concurrent import thread_map + +from . import config, utils +from .arrow_dataset import Dataset +from .arrow_reader import ( + ArrowReader, + ReadInstruction, +) +from .arrow_writer import ArrowWriter, ParquetWriter, SchemaInferenceError +from .data_files import DataFilesDict, DataFilesPatternsDict, sanitize_patterns +from .dataset_dict import DatasetDict, IterableDatasetDict +from .download.download_config import DownloadConfig +from .download.download_manager import DownloadManager, DownloadMode +from .download.streaming_download_manager import StreamingDownloadManager, xjoin +from .exceptions import DatasetGenerationCastError, DatasetGenerationError, FileFormatError, ManualDownloadError +from .features import Features +from .filesystems import ( + is_remote_filesystem, + rename, +) +from .fingerprint import Hasher +from .info import DatasetInfo, DatasetInfosDict, PostProcessedInfo +from .iterable_dataset import ArrowExamplesIterable, ExamplesIterable, IterableDataset +from .keyhash import DuplicatedKeysError +from .naming import INVALID_WINDOWS_CHARACTERS_IN_PATH, camelcase_to_snakecase +from .splits import Split, SplitDict, SplitGenerator, SplitInfo +from .streaming import extend_dataset_builder_for_streaming +from .table import CastError +from .utils import logging +from .utils import tqdm as hf_tqdm +from .utils._filelock import FileLock +from .utils.file_utils import is_remote_url +from .utils.info_utils import VerificationMode, get_size_checksum_dict, verify_checksums, verify_splits +from .utils.py_utils import ( + classproperty, + convert_file_size_to_int, + has_sufficient_disk_space, + iflatmap_unordered, + map_nested, + memoize, + size_str, + temporary_assignment, +) +from .utils.sharding import _number_of_shards_in_gen_kwargs, _split_gen_kwargs +from .utils.track import tracked_list + + +if TYPE_CHECKING: + from .load import DatasetModule + + +logger = logging.get_logger(__name__) + + +class InvalidConfigName(ValueError): + pass + + +@dataclass +class BuilderConfig: + """Base class for `DatasetBuilder` data configuration. + + `DatasetBuilder` subclasses with data configuration options should subclass + `BuilderConfig` and add their own properties. + + Attributes: + name (`str`, defaults to `default`): + The name of the configuration. + version (`Version` or `str`, defaults to `0.0.0`): + The version of the configuration. + data_dir (`str`, *optional*): + Path to the directory containing the source data. + data_files (`str` or `Sequence` or `Mapping`, *optional*): + Path(s) to source data file(s). + description (`str`, *optional*): + A human description of the configuration. + """ + + name: str = "default" + version: Optional[Union[utils.Version, str]] = utils.Version("0.0.0") + data_dir: Optional[str] = None + data_files: Optional[Union[DataFilesDict, DataFilesPatternsDict]] = None + description: Optional[str] = None + + def __post_init__(self): + # The config name is used to name the cache directory. + for invalid_char in INVALID_WINDOWS_CHARACTERS_IN_PATH: + if invalid_char in self.name: + raise InvalidConfigName( + f"Bad characters from black list '{INVALID_WINDOWS_CHARACTERS_IN_PATH}' found in '{self.name}'. " + f"They could create issues when creating a directory for this config on Windows filesystem." + ) + if self.data_files is not None and not isinstance(self.data_files, (DataFilesDict, DataFilesPatternsDict)): + raise ValueError(f"Expected a DataFilesDict in data_files but got {self.data_files}") + + def __eq__(self, o): + # we need to override the default dataclass __eq__ since it doesn't check for + # other attributes that the ones of the signature. + if set(self.__dict__.keys()) != set(o.__dict__.keys()): + return False + return all((k, getattr(self, k)) == (k, getattr(o, k)) for k in self.__dict__.keys()) + + def create_config_id( + self, + config_kwargs: dict, + custom_features: Optional[Features] = None, + ) -> str: + """ + The config id is used to build the cache directory. + By default it is equal to the config name. + However the name of a config is not sufficient to have a unique identifier for the dataset being generated + since it doesn't take into account: + - the config kwargs that can be used to overwrite attributes + - the custom features used to write the dataset + - the data_files for json/text/csv/pandas datasets + + Therefore the config id is just the config name with an optional suffix based on these. + """ + # Possibly add a suffix to the name to handle custom features/data_files/config_kwargs + suffix: Optional[str] = None + config_kwargs_to_add_to_suffix = config_kwargs.copy() + # name and version are already used to build the cache directory + config_kwargs_to_add_to_suffix.pop("name", None) + config_kwargs_to_add_to_suffix.pop("version", None) + # data dir handling (when specified it points to the manually downloaded data): + # it was previously ignored before the introduction of config id because we didn't want + # to change the config name. Now it's fine to take it into account for the config id. + # config_kwargs_to_add_to_suffix.pop("data_dir", None) + if "data_dir" in config_kwargs_to_add_to_suffix: + if config_kwargs_to_add_to_suffix["data_dir"] is None: + config_kwargs_to_add_to_suffix.pop("data_dir", None) + else: + # canonicalize the data dir to avoid two paths to the same location having different + # hashes + data_dir = config_kwargs_to_add_to_suffix["data_dir"] + data_dir = os.path.normpath(data_dir) + config_kwargs_to_add_to_suffix["data_dir"] = data_dir + if config_kwargs_to_add_to_suffix: + # we don't care about the order of the kwargs + config_kwargs_to_add_to_suffix = { + k: config_kwargs_to_add_to_suffix[k] for k in sorted(config_kwargs_to_add_to_suffix) + } + if all(isinstance(v, (str, bool, int, float)) for v in config_kwargs_to_add_to_suffix.values()): + suffix = ",".join( + str(k) + "=" + urllib.parse.quote_plus(str(v)) for k, v in config_kwargs_to_add_to_suffix.items() + ) + if len(suffix) > 32: # hash if too long + suffix = Hasher.hash(config_kwargs_to_add_to_suffix) + else: + suffix = Hasher.hash(config_kwargs_to_add_to_suffix) + + if custom_features is not None: + m = Hasher() + if suffix: + m.update(suffix) + m.update(custom_features) + suffix = m.hexdigest() + + if suffix: + config_id = self.name + "-" + suffix + if len(config_id) > config.MAX_DATASET_CONFIG_ID_READABLE_LENGTH: + config_id = self.name + "-" + Hasher.hash(suffix) + return config_id + else: + return self.name + + def _resolve_data_files(self, base_path: str, download_config: DownloadConfig) -> None: + if isinstance(self.data_files, DataFilesPatternsDict): + base_path = xjoin(base_path, self.data_dir) if self.data_dir else base_path + self.data_files = self.data_files.resolve(base_path, download_config) + + +class DatasetBuilder: + """Abstract base class for all datasets. + + `DatasetBuilder` has 3 key methods: + + - [`DatasetBuilder.info`]: Documents the dataset, including feature + names, types, shapes, version, splits, citation, etc. + - [`DatasetBuilder.download_and_prepare`]: Downloads the source data + and writes it to disk. + - [`DatasetBuilder.as_dataset`]: Generates a [`Dataset`]. + + Some `DatasetBuilder`s expose multiple variants of the + dataset by defining a [`BuilderConfig`] subclass and accepting a + config object (or name) on construction. Configurable datasets expose a + pre-defined set of configurations in [`DatasetBuilder.builder_configs`]. + + Args: + cache_dir (`str`, *optional*): + Directory to cache data. Defaults to `"~/.cache/huggingface/datasets"`. + dataset_name (`str`, *optional*): + Name of the dataset, if different from the builder name. Useful for packaged builders + like csv, imagefolder, audiofolder, etc. to reflect the difference between datasets + that use the same packaged builder. + config_name (`str`, *optional*): + Name of the dataset configuration. + It affects the data generated on disk. Different configurations will have their own subdirectories and + versions. + If not provided, the default configuration is used (if it exists). + + + + Parameter `name` was renamed to `config_name`. + + + hash (`str`, *optional*): + Hash specific to the dataset code. Used to update the caching directory when the + dataset loading script code is updated (to avoid reusing old data). + The typical caching directory (defined in `self._relative_data_dir`) is `name/version/hash/`. + base_path (`str`, *optional*): + Base path for relative paths that are used to download files. + This can be a remote URL. + features ([`Features`], *optional*): + Features types to use with this dataset. + It can be used to change the [`Features`] types of a dataset, for example. + token (`str` or `bool`, *optional*): + String or boolean to use as Bearer token for remote files on the + Datasets Hub. If `True`, will get token from `"~/.huggingface"`. + repo_id (`str`, *optional*): + ID of the dataset repository. + Used to distinguish builders with the same name but not coming from the same namespace, for example "rajpurkar/squad" + and "lhoestq/squad" repo IDs. In the latter, the builder name would be "lhoestq___squad". + data_files (`str` or `Sequence` or `Mapping`, *optional*): + Path(s) to source data file(s). + For builders like "csv" or "json" that need the user to specify data files. They can be either + local or remote files. For convenience, you can use a `DataFilesDict`. + data_dir (`str`, *optional*): + Path to directory containing source data file(s). + Use only if `data_files` is not passed, in which case it is equivalent to passing + `os.path.join(data_dir, "**")` as `data_files`. + For builders that require manual download, it must be the path to the local directory containing the + manually downloaded data. + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the dataset file-system backend, if any. + writer_batch_size (`int`, *optional*): + Batch size used by the ArrowWriter. + It defines the number of samples that are kept in memory before writing them + and also the length of the arrow chunks. + None means that the ArrowWriter will use its default value. + **config_kwargs (additional keyword arguments): Keyword arguments to be passed to the corresponding builder + configuration class, set on the class attribute [`DatasetBuilder.BUILDER_CONFIG_CLASS`]. The builder + configuration class is [`BuilderConfig`] or a subclass of it. + """ + + # Default version + VERSION = None # Default version set in BuilderConfig + + # Class for the builder config. + BUILDER_CONFIG_CLASS = BuilderConfig + + # Named configurations that modify the data generated by download_and_prepare. + BUILDER_CONFIGS = [] + + # Optional default config name to be used when name is None + DEFAULT_CONFIG_NAME = None + + # Default batch size used by the ArrowWriter + # It defines the number of samples that are kept in memory before writing them + # and also the length of the arrow chunks + # None means that the ArrowWriter will use its default value + DEFAULT_WRITER_BATCH_SIZE = None + + def __init__( + self, + cache_dir: Optional[str] = None, + dataset_name: Optional[str] = None, + config_name: Optional[str] = None, + hash: Optional[str] = None, + base_path: Optional[str] = None, + info: Optional[DatasetInfo] = None, + features: Optional[Features] = None, + token: Optional[Union[bool, str]] = None, + repo_id: Optional[str] = None, + data_files: Optional[Union[str, list, dict, DataFilesDict]] = None, + data_dir: Optional[str] = None, + storage_options: Optional[dict] = None, + writer_batch_size: Optional[int] = None, + **config_kwargs, + ): + # DatasetBuilder name + self.name: str = camelcase_to_snakecase(self.__module__.split(".")[-1]) + self.hash: Optional[str] = hash + self.base_path = base_path + self.token = token + self.repo_id = repo_id + self.storage_options = storage_options or {} + self.dataset_name = camelcase_to_snakecase(dataset_name) if dataset_name else self.name + self._writer_batch_size = writer_batch_size or self.DEFAULT_WRITER_BATCH_SIZE + + if data_files is not None and not isinstance(data_files, DataFilesDict): + data_files = DataFilesDict.from_patterns( + sanitize_patterns(data_files), + base_path=base_path, + download_config=DownloadConfig(token=token, storage_options=self.storage_options), + ) + + # Prepare config: DatasetConfig contains name, version and description but can be extended by each dataset + if "features" in inspect.signature(self.BUILDER_CONFIG_CLASS.__init__).parameters and features is not None: + config_kwargs["features"] = features + if data_files is not None: + config_kwargs["data_files"] = data_files + if data_dir is not None: + config_kwargs["data_dir"] = data_dir + self.config_kwargs = config_kwargs + self.config, self.config_id = self._create_builder_config( + config_name=config_name, + custom_features=features, + **config_kwargs, + ) + + # prepare info: DatasetInfo are a standardized dataclass across all datasets + # Prefill datasetinfo + if info is None: + # TODO FOR PACKAGED MODULES IT IMPORTS DATA FROM src/packaged_modules which doesn't make sense + info = self.get_exported_dataset_info() + info.update(self._info()) + info.builder_name = self.name + info.dataset_name = self.dataset_name + info.config_name = self.config.name + info.version = self.config.version + self.info = info + # update info with user specified infos + if features is not None: + self.info.features = features + + # Prepare data dirs: + # cache_dir can be a remote bucket on GCS or S3 + self._cache_dir_root = str(cache_dir or config.HF_DATASETS_CACHE) + self._cache_dir_root = ( + self._cache_dir_root if is_remote_url(self._cache_dir_root) else os.path.expanduser(self._cache_dir_root) + ) + self._cache_downloaded_dir = ( + posixpath.join(self._cache_dir_root, config.DOWNLOADED_DATASETS_DIR) + if cache_dir + else str(config.DOWNLOADED_DATASETS_PATH) + ) + self._cache_downloaded_dir = ( + self._cache_downloaded_dir + if is_remote_url(self._cache_downloaded_dir) + else os.path.expanduser(self._cache_downloaded_dir) + ) + + # In case there exists a legacy cache directory + self._legacy_relative_data_dir = None + + self._cache_dir = self._build_cache_dir() + if not is_remote_url(self._cache_dir_root): + os.makedirs(self._cache_dir_root, exist_ok=True) + lock_path = os.path.join( + self._cache_dir_root, Path(self._cache_dir).as_posix().replace("/", "_") + ".lock" + ) + with FileLock(lock_path): + if os.path.exists(self._cache_dir): # check if data exist + if len(os.listdir(self._cache_dir)) > 0: + if os.path.exists(os.path.join(self._cache_dir, config.DATASET_INFO_FILENAME)): + logger.info("Overwrite dataset info from restored data version if exists.") + self.info = DatasetInfo.from_directory(self._cache_dir) + else: # dir exists but no data, remove the empty dir as data aren't available anymore + logger.warning( + f"Old caching folder {self._cache_dir} for dataset {self.dataset_name} exists but no data were found. Removing it. " + ) + os.rmdir(self._cache_dir) + + # Store in the cache by default unless the user specifies a custom output_dir to download_and_prepare + self._output_dir = self._cache_dir + self._fs: fsspec.AbstractFileSystem = fsspec.filesystem("file") + + # Set download manager + self.dl_manager = None + + # Set to True by "datasets-cli test" to generate file checksums for (deprecated) dataset_infos.json independently of verification_mode value. + self._record_infos = False + + # Set in `.download_and_prepare` once the format of the generated dataset is known + self._file_format = None + + # Enable streaming (e.g. it patches "open" to work with remote files) + extend_dataset_builder_for_streaming(self) + + def __getstate__(self): + return self.__dict__ + + def __setstate__(self, d): + self.__dict__ = d + # Re-enable streaming, since patched functions are not kept when pickling + extend_dataset_builder_for_streaming(self) + + # Must be set for datasets that use 'data_dir' functionality - the ones + # that require users to do additional steps to download the data + # (this is usually due to some external regulations / rules). + # This field should contain a string with user instructions, including + # the list of files that should be present. It will be + # displayed in the dataset documentation. + @property + def manual_download_instructions(self) -> Optional[str]: + return None + + def _check_legacy_cache(self) -> Optional[str]: + """Check for the old cache directory template {cache_dir}/{namespace}___{builder_name} from 2.13""" + if ( + self.__module__.startswith("datasets.") + and not is_remote_url(self._cache_dir_root) + and self.config.name == "default" + ): + from .packaged_modules import _PACKAGED_DATASETS_MODULES + + namespace = self.repo_id.split("/")[0] if self.repo_id and self.repo_id.count("/") > 0 else None + config_name = self.repo_id.replace("/", "--") if self.repo_id is not None else self.dataset_name + config_id = config_name + self.config_id[len(self.config.name) :] + hash = _PACKAGED_DATASETS_MODULES.get(self.name, "missing")[1] + legacy_relative_data_dir = posixpath.join( + self.dataset_name if namespace is None else f"{namespace}___{self.dataset_name}", + config_id, + "0.0.0", + hash, + ) + legacy_cache_dir = posixpath.join(self._cache_dir_root, legacy_relative_data_dir) + if os.path.isdir(legacy_cache_dir): + return legacy_relative_data_dir + + def _check_legacy_cache2(self, dataset_module: "DatasetModule") -> Optional[str]: + """Check for the old cache directory template {cache_dir}/{namespace}___{dataset_name}/{config_name}-xxx from 2.14 and 2.15""" + if ( + self.__module__.startswith("datasets.") + and not is_remote_url(self._cache_dir_root) + and not (set(self.config_kwargs) - {"data_files", "data_dir"}) + ): + from .packaged_modules import _PACKAGED_DATASETS_MODULES_2_15_HASHES + from .utils._dill import Pickler + + def update_hash_with_config_parameters(hash: str, config_parameters: dict) -> str: + """ + Used to update hash of packaged modules which is used for creating unique cache directories to reflect + different config parameters which are passed in metadata from readme. + """ + params_to_exclude = {"config_name", "version", "description"} + params_to_add_to_hash = { + param: value + for param, value in sorted(config_parameters.items()) + if param not in params_to_exclude + } + m = Hasher() + m.update(hash) + m.update(params_to_add_to_hash) + return m.hexdigest() + + namespace = self.repo_id.split("/")[0] if self.repo_id and self.repo_id.count("/") > 0 else None + with patch.object(Pickler, "_legacy_no_dict_keys_sorting", True): + config_id = self.config.name + "-" + Hasher.hash({"data_files": self.config.data_files}) + hash = _PACKAGED_DATASETS_MODULES_2_15_HASHES.get(self.name, "missing") + if ( + dataset_module.builder_configs_parameters.metadata_configs + and self.config.name in dataset_module.builder_configs_parameters.metadata_configs + ): + hash = update_hash_with_config_parameters( + hash, dataset_module.builder_configs_parameters.metadata_configs[self.config.name] + ) + legacy_relative_data_dir = posixpath.join( + self.dataset_name if namespace is None else f"{namespace}___{self.dataset_name}", + config_id, + "0.0.0", + hash, + ) + legacy_cache_dir = posixpath.join(self._cache_dir_root, legacy_relative_data_dir) + if os.path.isdir(legacy_cache_dir): + return legacy_relative_data_dir + + @classmethod + def get_all_exported_dataset_infos(cls) -> DatasetInfosDict: + """Empty dict if doesn't exist + + Example: + + ```py + >>> from datasets import load_dataset_builder + >>> ds_builder = load_dataset_builder('vivos') + >>> ds_builder.get_all_exported_dataset_infos() + {'default': DatasetInfo(description='', citation='', homepage='', license='', features={'speaker_id': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'audio': Audio(sampling_rate=16000, mono=True, decode=True, id=None), 'sentence': Value(dtype='string', id=None)}, post_processed=None, supervised_keys=None, builder_name=None, dataset_name=None, config_name='default', version=None, splits={'train': SplitInfo(name='train', num_bytes=1722002133, num_examples=11660, shard_lengths=None, dataset_name=None), 'test': SplitInfo(name='test', num_bytes=86120227, num_examples=760, shard_lengths=None, dataset_name=None)}, download_checksums=None, download_size=1475540500, post_processing_size=None, dataset_size=1808122360, size_in_bytes=None)} + ``` + """ + return DatasetInfosDict.from_directory(cls.get_imported_module_dir()) + + def get_exported_dataset_info(self) -> DatasetInfo: + """Empty `DatasetInfo` if doesn't exist + + Example: + + ```py + >>> from datasets import load_dataset_builder + >>> ds_builder = load_dataset_builder('cornell-movie-review-data/rotten_tomatoes') + >>> ds_builder.get_exported_dataset_info() + DatasetInfo(description='', citation='', homepage='', license='', features={'speaker_id': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'audio': Audio(sampling_rate=16000, mono=True, decode=True, id=None), 'sentence': Value(dtype='string', id=None)}, post_processed=None, supervised_keys=None, builder_name=None, dataset_name=None, config_name='default', version=None, splits={'train': SplitInfo(name='train', num_bytes=1722002133, num_examples=11660, shard_lengths=None, dataset_name=None), 'test': SplitInfo(name='test', num_bytes=86120227, num_examples=760, shard_lengths=None, dataset_name=None)}, download_checksums=None, download_size=1475540500, post_processing_size=None, dataset_size=1808122360, size_in_bytes=None) + ``` + """ + return self.get_all_exported_dataset_infos().get(self.config.name, DatasetInfo()) + + def _create_builder_config( + self, config_name=None, custom_features=None, **config_kwargs + ) -> tuple[BuilderConfig, str]: + """Create and validate BuilderConfig object as well as a unique config id for this config. + Raises ValueError if there are multiple builder configs and config_name and DEFAULT_CONFIG_NAME are None. + config_kwargs override the defaults kwargs in config + """ + builder_config = None + + # try default config + if config_name is None and self.BUILDER_CONFIGS: + if self.DEFAULT_CONFIG_NAME is not None: + builder_config = self.builder_configs.get(self.DEFAULT_CONFIG_NAME) + logger.info(f"No config specified, defaulting to: {self.dataset_name}/{builder_config.name}") + else: + if len(self.BUILDER_CONFIGS) > 1: + if not config_kwargs: + example_of_usage = ( + f"load_dataset('{self.repo_id or self.dataset_name}', '{self.BUILDER_CONFIGS[0].name}')" + ) + raise ValueError( + "Config name is missing." + f"\nPlease pick one among the available configs: {list(self.builder_configs.keys())}" + + f"\nExample of usage:\n\t`{example_of_usage}`" + ) + else: + builder_config = self.BUILDER_CONFIGS[0] + logger.info( + f"No config specified, defaulting to the single config: {self.dataset_name}/{builder_config.name}" + ) + + # try to get config by name + if isinstance(config_name, str): + builder_config = self.builder_configs.get(config_name) + if builder_config is None and self.BUILDER_CONFIGS: + raise ValueError( + f"BuilderConfig '{config_name}' not found. Available: {list(self.builder_configs.keys())}" + ) + + # if not using an existing config, then create a new config on the fly + if not builder_config: + if config_name is not None: + config_kwargs["name"] = config_name + elif self.DEFAULT_CONFIG_NAME and not config_kwargs: + # Use DEFAULT_CONFIG_NAME only if no config_kwargs are passed + config_kwargs["name"] = self.DEFAULT_CONFIG_NAME + if "version" not in config_kwargs and hasattr(self, "VERSION") and self.VERSION: + config_kwargs["version"] = self.VERSION + builder_config = self.BUILDER_CONFIG_CLASS(**config_kwargs) + + # otherwise use the config_kwargs to overwrite the attributes + else: + builder_config = copy.deepcopy(builder_config) if config_kwargs else builder_config + for key, value in config_kwargs.items(): + if value is not None: + if not hasattr(builder_config, key): + raise ValueError(f"BuilderConfig {builder_config} doesn't have a '{key}' key.") + setattr(builder_config, key, value) + + if not builder_config.name: + raise ValueError(f"BuilderConfig must have a name, got {builder_config.name}") + + # resolve data files if needed + builder_config._resolve_data_files( + base_path=self.base_path, + download_config=DownloadConfig(token=self.token, storage_options=self.storage_options), + ) + + # compute the config id that is going to be used for caching + config_id = builder_config.create_config_id( + config_kwargs, + custom_features=custom_features, + ) + is_custom = (config_id not in self.builder_configs) and config_id != "default" + if is_custom: + logger.info(f"Using custom data configuration {config_id}") + else: + if ( + builder_config.name in self.builder_configs + and builder_config != self.builder_configs[builder_config.name] + ): + raise ValueError( + "Cannot name a custom BuilderConfig the same as an available " + f"BuilderConfig. Change the name. Available BuilderConfigs: {list(self.builder_configs.keys())}" + ) + if not builder_config.version: + raise ValueError(f"BuilderConfig {builder_config.name} must have a version") + + return builder_config, config_id + + @classproperty + @classmethod + @memoize() + def builder_configs(cls) -> dict[str, BuilderConfig]: + """Dictionary of pre-defined configurations for this builder class.""" + configs = {config.name: config for config in cls.BUILDER_CONFIGS} + if len(configs) != len(cls.BUILDER_CONFIGS): + names = [config.name for config in cls.BUILDER_CONFIGS] + raise ValueError(f"Names in BUILDER_CONFIGS must not be duplicated. Got {names}") + return configs + + @property + def cache_dir(self): + return self._cache_dir + + def _use_legacy_cache_dir_if_possible(self, dataset_module: "DatasetModule"): + # Check for the legacy cache directory template (datasets<3.0.0) + self._legacy_relative_data_dir = ( + self._check_legacy_cache2(dataset_module) or self._check_legacy_cache() or None + ) + self._cache_dir = self._build_cache_dir() + self._output_dir = self._cache_dir + + def _relative_data_dir(self, with_version=True, with_hash=True) -> str: + """Relative path of this dataset in cache_dir: + Will be: + self.dataset_name/self.config.version/self.hash/ + or if a repo_id with a namespace has been specified: + self.namespace___self.dataset_name/self.config.version/self.hash/ + If any of these element is missing or if ``with_version=False`` the corresponding subfolders are dropped. + """ + if self._legacy_relative_data_dir is not None and with_version and with_hash: + return self._legacy_relative_data_dir + + namespace = self.repo_id.split("/")[0] if self.repo_id and self.repo_id.count("/") > 0 else None + builder_data_dir = self.dataset_name if namespace is None else f"{namespace}___{self.dataset_name}" + builder_data_dir = posixpath.join(builder_data_dir, self.config_id) + if with_version: + builder_data_dir = posixpath.join(builder_data_dir, str(self.config.version)) + if with_hash and self.hash and isinstance(self.hash, str): + builder_data_dir = posixpath.join(builder_data_dir, self.hash) + return builder_data_dir + + def _build_cache_dir(self): + """Return the data directory for the current version.""" + builder_data_dir = posixpath.join(self._cache_dir_root, self._relative_data_dir(with_version=False)) + version_data_dir = posixpath.join(self._cache_dir_root, self._relative_data_dir(with_version=True)) + + def _other_versions_on_disk(): + """Returns previous versions on disk.""" + if not os.path.exists(builder_data_dir): + return [] + + version_dirnames = [] + for dir_name in os.listdir(builder_data_dir): + try: + version_dirnames.append((utils.Version(dir_name), dir_name)) + except ValueError: # Invalid version (ex: incomplete data dir) + pass + version_dirnames.sort(reverse=True) + return version_dirnames + + # Check and warn if other versions exist + if not is_remote_url(builder_data_dir): + version_dirs = _other_versions_on_disk() + if version_dirs: + other_version = version_dirs[0][0] + if other_version != self.config.version: + warn_msg = ( + f"Found a different version {str(other_version)} of dataset {self.dataset_name} in " + f"cache_dir {self._cache_dir_root}. Using currently defined version " + f"{str(self.config.version)}." + ) + logger.warning(warn_msg) + + return version_data_dir + + @abc.abstractmethod + def _info(self) -> DatasetInfo: + """Construct the DatasetInfo object. See `DatasetInfo` for details. + + Warning: This function is only called once and the result is cached for all + following .info() calls. + + Returns: + info: (DatasetInfo) The dataset information + """ + raise NotImplementedError + + @classmethod + def get_imported_module_dir(cls): + """Return the path of the module of this class or subclass.""" + return os.path.dirname(inspect.getfile(inspect.getmodule(cls))) + + def _rename(self, src: str, dst: str): + rename(self._fs, src, dst) + + def download_and_prepare( + self, + output_dir: Optional[str] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + verification_mode: Optional[Union[VerificationMode, str]] = None, + dl_manager: Optional[DownloadManager] = None, + base_path: Optional[str] = None, + file_format: str = "arrow", + max_shard_size: Optional[Union[int, str]] = None, + num_proc: Optional[int] = None, + storage_options: Optional[dict] = None, + **download_and_prepare_kwargs, + ): + """Downloads and prepares dataset for reading. + + Args: + output_dir (`str`, *optional*): + Output directory for the dataset. + Default to this builder's `cache_dir`, which is inside `~/.cache/huggingface/datasets` by default. + + + download_config (`DownloadConfig`, *optional*): + Specific download configuration parameters. + download_mode ([`DownloadMode`] or `str`, *optional*): + Select the download/generate mode, default to `REUSE_DATASET_IF_EXISTS`. + verification_mode ([`VerificationMode`] or `str`, defaults to `BASIC_CHECKS`): + Verification mode determining the checks to run on the downloaded/processed dataset information (checksums/size/splits/...). + + + dl_manager (`DownloadManager`, *optional*): + Specific `DownloadManger` to use. + base_path (`str`, *optional*): + Base path for relative paths that are used to download files. This can be a remote url. + If not specified, the value of the `base_path` attribute (`self.base_path`) will be used instead. + file_format (`str`, *optional*): + Format of the data files in which the dataset will be written. + Supported formats: "arrow", "parquet". Default to "arrow" format. + If the format is "parquet", then image and audio data are embedded into the Parquet files instead of pointing to local files. + + + max_shard_size (`Union[str, int]`, *optional*): + Maximum number of bytes written per shard, default is "500MB". + The size is based on uncompressed data size, so in practice your shard files may be smaller than + `max_shard_size` thanks to Parquet compression for example. + + + num_proc (`int`, *optional*, defaults to `None`): + Number of processes when downloading and generating the dataset locally. + Multiprocessing is disabled by default. + + + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the caching file-system backend, if any. + + + **download_and_prepare_kwargs (additional keyword arguments): Keyword arguments. + + Example: + + Download and prepare the dataset as Arrow files that can be loaded as a Dataset using `builder.as_dataset()`: + + ```py + >>> from datasets import load_dataset_builder + >>> builder = load_dataset_builder("cornell-movie-review-data/rotten_tomatoes") + >>> builder.download_and_prepare() + ``` + + Download and prepare the dataset as sharded Parquet files locally: + + ```py + >>> from datasets import load_dataset_builder + >>> builder = load_dataset_builder("cornell-movie-review-data/rotten_tomatoes") + >>> builder.download_and_prepare("./output_dir", file_format="parquet") + ``` + + Download and prepare the dataset as sharded Parquet files in a cloud storage: + + ```py + >>> from datasets import load_dataset_builder + >>> storage_options = {"key": aws_access_key_id, "secret": aws_secret_access_key} + >>> builder = load_dataset_builder("cornell-movie-review-data/rotten_tomatoes") + >>> builder.download_and_prepare("s3://my-bucket/my_rotten_tomatoes", storage_options=storage_options, file_format="parquet") + ``` + """ + output_dir = output_dir if output_dir is not None else self._cache_dir + # output_dir can be a remote bucket on GCS or S3 + fs, output_dir = url_to_fs(output_dir, **(storage_options or {})) + self._fs = fs + self._output_dir = output_dir if not is_remote_filesystem(self._fs) else self._fs.unstrip_protocol(output_dir) + + download_mode = DownloadMode(download_mode or DownloadMode.REUSE_DATASET_IF_EXISTS) + verification_mode = VerificationMode(verification_mode or VerificationMode.BASIC_CHECKS) + base_path = base_path if base_path is not None else self.base_path + + if file_format is not None and file_format not in ["arrow", "parquet"]: + raise ValueError(f"Unsupported file_format: {file_format}. Expected 'arrow' or 'parquet'") + self._file_format = file_format + + if self._fs._strip_protocol(self._output_dir) == "": + # We don't support the root directory, because it has no dirname, + # and we need a dirname to use a .incomplete directory + # when the dataset is being written + raise RuntimeError( + f"Unable to download and prepare the dataset at the root {self._output_dir}. " + f"Please specify a subdirectory, e.g. '{self._output_dir + self.dataset_name}'" + ) + + if dl_manager is None: + if download_config is None: + download_config = DownloadConfig( + cache_dir=self._cache_downloaded_dir, + force_download=download_mode == DownloadMode.FORCE_REDOWNLOAD, + force_extract=download_mode == DownloadMode.FORCE_REDOWNLOAD, + use_etag=False, + num_proc=num_proc, + token=self.token, + storage_options=self.storage_options, + ) # We don't use etag for data files to speed up the process + + dl_manager = DownloadManager( + dataset_name=self.dataset_name, + download_config=download_config, + data_dir=self.config.data_dir, + base_path=base_path, + record_checksums=(self._record_infos or verification_mode == VerificationMode.ALL_CHECKS), + ) + + is_local = not is_remote_filesystem(self._fs) + self.dl_manager = dl_manager + + # Prevent parallel local disk operations + if is_local: + # Create parent directory of the output_dir to put the lock file in there + Path(self._output_dir).parent.mkdir(parents=True, exist_ok=True) + lock_path = self._output_dir + "_builder.lock" + + # File locking only with local paths; no file locking on GCS or S3 + with FileLock(lock_path) if is_local else contextlib.nullcontext(): + # Check if the data already exists + data_exists = self._fs.exists(posixpath.join(self._output_dir, config.DATASET_INFO_FILENAME)) + if data_exists and download_mode == DownloadMode.REUSE_DATASET_IF_EXISTS: + logger.info(f"Found cached dataset {self.dataset_name} ({self._output_dir})") + # We need to update the info in case some splits were added in the meantime + # for example when calling load_dataset from multiple workers. + self.info = self._load_info() + self.download_post_processing_resources(dl_manager) + return + + logger.info(f"Generating dataset {self.dataset_name} ({self._output_dir})") + if is_local: # if cache dir is local, check for available space + if not has_sufficient_disk_space( + self.info.size_in_bytes or 0, directory=Path(self._output_dir).parent + ): + raise OSError( + f"Not enough disk space. Needed: {size_str(self.info.size_in_bytes or 0)} (download: {size_str(self.info.download_size or 0)}, generated: {size_str(self.info.dataset_size or 0)}, post-processed: {size_str(self.info.post_processing_size or 0)})" + ) + + @contextlib.contextmanager + def incomplete_dir(dirname): + """Create temporary dir for dirname and rename on exit.""" + if not is_local: + self._fs.makedirs(dirname, exist_ok=True) + yield dirname + else: + tmp_dir = dirname + ".incomplete" + os.makedirs(tmp_dir, exist_ok=True) + try: + yield tmp_dir + if os.path.isdir(dirname): + shutil.rmtree(dirname) + # LocalFileSystem.mv does copy + rm, it is more efficient to simply rename a local directory + shutil.move(tmp_dir, dirname) + finally: + if os.path.exists(tmp_dir): + shutil.rmtree(tmp_dir) + + # Print is intentional: we want this to always go to stdout so user has + # information needed to cancel download/preparation if needed. + # This comes right before the progress bar. + if self.info.size_in_bytes: + logger.info( + f"Downloading and preparing dataset {self.dataset_name}/{self.config.name} " + f"(download: {size_str(self.info.download_size)}, generated: {size_str(self.info.dataset_size)}, " + f"post-processed: {size_str(self.info.post_processing_size)}, " + f"total: {size_str(self.info.size_in_bytes)}) to {self._output_dir}..." + ) + else: + _dest = self._fs._strip_protocol(self._output_dir) if is_local else self._output_dir + logger.info(f"Downloading and preparing dataset {self.dataset_name}/{self.config.name} to {_dest}...") + + self._check_manual_download(dl_manager) + + # Create a tmp dir and rename to self._output_dir on successful exit. + with incomplete_dir(self._output_dir) as tmp_output_dir: + # Temporarily assign _output_dir to tmp_data_dir to avoid having to forward + # it to every sub function. + with temporary_assignment(self, "_output_dir", tmp_output_dir): + prepare_split_kwargs = {"file_format": file_format} + if max_shard_size is not None: + prepare_split_kwargs["max_shard_size"] = max_shard_size + if num_proc is not None: + prepare_split_kwargs["num_proc"] = num_proc + self._download_and_prepare( + dl_manager=dl_manager, + verification_mode=verification_mode, + **prepare_split_kwargs, + **download_and_prepare_kwargs, + ) + # Sync info + self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values()) + self.info.download_checksums = dl_manager.get_recorded_sizes_checksums() + if self.info.download_size is not None: + self.info.size_in_bytes = self.info.dataset_size + self.info.download_size + # Save info + self._save_info() + + # Download post processing resources + self.download_post_processing_resources(dl_manager) + + logger.info( + f"Dataset {self.dataset_name} downloaded and prepared to {self._output_dir}. " + f"Subsequent calls will reuse this data." + ) + + def _check_manual_download(self, dl_manager): + if self.manual_download_instructions is not None and dl_manager.manual_dir is None: + raise ManualDownloadError( + textwrap.dedent( + f"""\ + The dataset {self.dataset_name} with config {self.config.name} requires manual data. + Please follow the manual download instructions: + {self.manual_download_instructions} + Manual data can be loaded with: + datasets.load_dataset("{self.repo_id or self.dataset_name}", data_dir="")""" + ) + ) + + def _download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs): + """Downloads and prepares dataset for reading. + + This is the internal implementation to overwrite called when user calls + `download_and_prepare`. It should download all required data and generate + the pre-processed datasets files. + + Args: + dl_manager ([`DownloadManager`]): + `DownloadManager` used to download and cache data. + verification_mode ([`VerificationMode`]): + if `ALL_CHECKS`, perform all the verifications including checksums. + if `BASIC_CHECKS`, do not perform checksums, only perform split tests. + if `NO_CHECKS`, do not perform any verification. + prepare_split_kwargs: Additional options, such as `file_format`, `max_shard_size` + """ + # Generating data for all splits + split_dict = SplitDict(dataset_name=self.dataset_name) + split_generators_kwargs = self._make_split_generators_kwargs(prepare_split_kwargs) + split_generators = self._split_generators(dl_manager, **split_generators_kwargs) + + # Checksums verification + if verification_mode == VerificationMode.ALL_CHECKS and dl_manager.record_checksums: + verify_checksums( + self.info.download_checksums, dl_manager.get_recorded_sizes_checksums(), "dataset source files" + ) + + # Build splits + for split_generator in split_generators: + if str(split_generator.split_info.name).lower() == "all": + raise ValueError( + "`all` is a special split keyword corresponding to the " + "union of all splits, so cannot be used as key in " + "._split_generator()." + ) + + logger.info(f"Generating {split_generator.split_info.name} split") + split_dict.add(split_generator.split_info) + + try: + # Prepare split will record examples associated to the split + self._prepare_split(split_generator, **prepare_split_kwargs) + except OSError as e: + raise OSError( + "Cannot find data file. " + + (self.manual_download_instructions or "") + + "\nOriginal error:\n" + + str(e) + ) from None + # If check_duplicates is set to True , then except DuplicatedKeysError + except DuplicatedKeysError as e: + raise DuplicatedKeysError( + e.key, + e.duplicate_key_indices, + fix_msg=f"To avoid duplicate keys, please fix the dataset script {self.name}.py", + ) from None + dl_manager.manage_extracted_files() + + if verification_mode == VerificationMode.BASIC_CHECKS or verification_mode == VerificationMode.ALL_CHECKS: + verify_splits(self.info.splits, split_dict) + + # Update the info object with the splits. + self.info.splits = split_dict + self.info.download_size = dl_manager.downloaded_size + + def download_post_processing_resources(self, dl_manager): + for split in self.info.splits or []: + for resource_name, resource_file_name in self._post_processing_resources(split).items(): + if not not is_remote_filesystem(self._fs): + raise NotImplementedError(f"Post processing is not supported on filesystem {self._fs}") + if os.sep in resource_file_name: + raise ValueError(f"Resources shouldn't be in a sub-directory: {resource_file_name}") + resource_path = os.path.join(self._output_dir, resource_file_name) + if not os.path.exists(resource_path): + downloaded_resource_path = self._download_post_processing_resources( + split, resource_name, dl_manager + ) + if downloaded_resource_path: + logger.info(f"Downloaded post-processing resource {resource_name} as {resource_file_name}") + shutil.move(downloaded_resource_path, resource_path) + + def _load_info(self) -> DatasetInfo: + return DatasetInfo.from_directory(self._output_dir, storage_options=self._fs.storage_options) + + def _save_info(self): + file_lock = ( + FileLock(self._output_dir + "_info.lock") + if not is_remote_filesystem(self._fs) + else contextlib.nullcontext() + ) + with file_lock: + self.info.write_to_directory(self._output_dir, storage_options=self._fs.storage_options) + + def _save_infos(self): + file_lock = ( + FileLock(self._output_dir + "_infos.lock") + if not is_remote_filesystem(self._fs) + else contextlib.nullcontext() + ) + with file_lock: + DatasetInfosDict(**{self.config.name: self.info}).write_to_directory(self.get_imported_module_dir()) + + def _make_split_generators_kwargs(self, prepare_split_kwargs): + """Get kwargs for `self._split_generators()` from `prepare_split_kwargs`.""" + del prepare_split_kwargs + return {} + + def as_dataset( + self, + split: Optional[Split] = None, + run_post_process=True, + verification_mode: Optional[Union[VerificationMode, str]] = None, + in_memory=False, + ) -> Union[Dataset, DatasetDict]: + """Return a Dataset for the specified split. + + Args: + split (`datasets.Split`): + Which subset of the data to return. + run_post_process (`bool`, defaults to `True`): + Whether to run post-processing dataset transforms and/or add + indexes. + verification_mode ([`VerificationMode`] or `str`, defaults to `BASIC_CHECKS`): + Verification mode determining the checks to run on the + downloaded/processed dataset information (checksums/size/splits/...). + + + in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + + Returns: + datasets.Dataset + + Example: + + ```py + >>> from datasets import load_dataset_builder + >>> builder = load_dataset_builder('cornell-movie-review-data/rotten_tomatoes') + >>> builder.download_and_prepare() + >>> ds = builder.as_dataset(split='train') + >>> ds + Dataset({ + features: ['text', 'label'], + num_rows: 8530 + }) + ``` + """ + if self._file_format is not None and self._file_format != "arrow": + raise FileFormatError('Loading a dataset not written in the "arrow" format is not supported.') + if is_remote_filesystem(self._fs): + raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.") + if not os.path.exists(self._output_dir): + raise FileNotFoundError( + f"Dataset {self.dataset_name}: could not find data in {self._output_dir}. Please make sure to call " + "builder.download_and_prepare(), or use " + "datasets.load_dataset() before trying to access the Dataset object." + ) + + logger.debug(f"Constructing Dataset for split {split or ', '.join(self.info.splits)}, from {self._output_dir}") + + # By default, return all splits + if split is None: + split = {s: s for s in self.info.splits} + + verification_mode = VerificationMode(verification_mode or VerificationMode.BASIC_CHECKS) + + # Create a dataset for each of the given splits + datasets = map_nested( + partial( + self._build_single_dataset, + run_post_process=run_post_process, + verification_mode=verification_mode, + in_memory=in_memory, + ), + split, + map_tuple=True, + disable_tqdm=True, + ) + if isinstance(datasets, dict): + datasets = DatasetDict(datasets) + return datasets + + def _build_single_dataset( + self, + split: Union[str, ReadInstruction, Split], + run_post_process: bool, + verification_mode: VerificationMode, + in_memory: bool = False, + ): + """as_dataset for a single split.""" + if not isinstance(split, ReadInstruction): + split = str(split) + if split == "all": + split = "+".join(self.info.splits.keys()) + split = Split(split) + + # Build base dataset + ds = self._as_dataset( + split=split, + in_memory=in_memory, + ) + if run_post_process: + for resource_file_name in self._post_processing_resources(split).values(): + if os.sep in resource_file_name: + raise ValueError(f"Resources shouldn't be in a sub-directory: {resource_file_name}") + resources_paths = { + resource_name: os.path.join(self._output_dir, resource_file_name) + for resource_name, resource_file_name in self._post_processing_resources(split).items() + } + post_processed = self._post_process(ds, resources_paths) + if post_processed is not None: + ds = post_processed + recorded_checksums = {} + record_checksums = False + for resource_name, resource_path in resources_paths.items(): + size_checksum = get_size_checksum_dict(resource_path) + recorded_checksums[resource_name] = size_checksum + if verification_mode == VerificationMode.ALL_CHECKS and record_checksums: + if self.info.post_processed is None or self.info.post_processed.resources_checksums is None: + expected_checksums = None + else: + expected_checksums = self.info.post_processed.resources_checksums.get(split) + verify_checksums(expected_checksums, recorded_checksums, "post processing resources") + if self.info.post_processed is None: + self.info.post_processed = PostProcessedInfo() + if self.info.post_processed.resources_checksums is None: + self.info.post_processed.resources_checksums = {} + self.info.post_processed.resources_checksums[str(split)] = recorded_checksums + self.info.post_processing_size = sum( + checksums_dict["num_bytes"] + for split_checksums_dicts in self.info.post_processed.resources_checksums.values() + for checksums_dict in split_checksums_dicts.values() + ) + if self.info.dataset_size is not None and self.info.download_size is not None: + self.info.size_in_bytes = ( + self.info.dataset_size + self.info.download_size + self.info.post_processing_size + ) + self._save_info() + ds._info.post_processed = self.info.post_processed + ds._info.post_processing_size = self.info.post_processing_size + ds._info.size_in_bytes = self.info.size_in_bytes + if self.info.post_processed.features is not None: + if self.info.post_processed.features.type != ds.features.type: + raise ValueError( + f"Post-processed features info don't match the dataset:\nGot\n{self.info.post_processed.features}\nbut expected something like\n{ds.features}" + ) + else: + ds.info.features = self.info.post_processed.features + + return ds + + def _as_dataset(self, split: Union[ReadInstruction, Split] = Split.TRAIN, in_memory: bool = False) -> Dataset: + """Constructs a `Dataset`. + + This is the internal implementation to overwrite called when user calls + `as_dataset`. It should read the pre-processed datasets files and generate + the `Dataset` object. + + Args: + split (`datasets.Split`): + which subset of the data to read. + in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + + Returns: + `Dataset` + """ + cache_dir = self._fs._strip_protocol(self._output_dir) + dataset_name = self.dataset_name + if self._check_legacy_cache(): + dataset_name = self.name + dataset_kwargs = ArrowReader(cache_dir, self.info).read( + name=dataset_name, + instructions=split, + split_infos=self.info.splits.values(), + in_memory=in_memory, + ) + fingerprint = self._get_dataset_fingerprint(split) + return Dataset(fingerprint=fingerprint, **dataset_kwargs) + + def _get_dataset_fingerprint(self, split: Union[ReadInstruction, Split]) -> str: + """The dataset fingerprint is the hash of the relative directory dataset_name/config_name/version/hash, as well as the split specs.""" + hasher = Hasher() + hasher.update(Path(self._relative_data_dir()).as_posix()) + hasher.update(str(split)) # for example: train, train+test, train[:10%], test[:33%](pct1_dropremainder) + fingerprint = hasher.hexdigest() + return fingerprint + + def as_streaming_dataset( + self, + split: Optional[str] = None, + base_path: Optional[str] = None, + ) -> Union[dict[str, IterableDataset], IterableDataset]: + if is_remote_filesystem(self._fs): + raise NotImplementedError( + f"Loading a streaming dataset cached in a {type(self._fs).__name__} is not supported yet." + ) + + dl_manager = StreamingDownloadManager( + base_path=base_path or self.base_path, + download_config=DownloadConfig(token=self.token, storage_options=self.storage_options), + dataset_name=self.dataset_name, + data_dir=self.config.data_dir, + ) + self._check_manual_download(dl_manager) + splits_generators = {sg.name: sg for sg in self._split_generators(dl_manager)} + # By default, return all splits + if split is None: + splits_generator = splits_generators + elif split in splits_generators: + splits_generator = splits_generators[split] + else: + raise ValueError(f"Bad split: {split}. Available splits: {list(splits_generators)}") + + # Create a dataset for each of the given splits + datasets = map_nested( + self._as_streaming_dataset_single, + splits_generator, + map_tuple=True, + ) + if isinstance(datasets, dict): + datasets = IterableDatasetDict(datasets) + return datasets + + def _as_streaming_dataset_single( + self, + splits_generator, + ) -> IterableDataset: + ex_iterable = self._get_examples_iterable_for_split(splits_generator) + # add auth to be able to access and decode audio/image files from private repositories. + token_per_repo_id = {self.repo_id: self.token} if self.repo_id else {} + return IterableDataset( + ex_iterable, info=self.info, split=splits_generator.name, token_per_repo_id=token_per_repo_id + ) + + def _post_process(self, dataset: Dataset, resources_paths: Mapping[str, str]) -> Optional[Dataset]: + """Run dataset transforms or add indexes""" + return None + + def _post_processing_resources(self, split: str) -> dict[str, str]: + """Mapping resource_name -> resource_file_name""" + return {} + + def _download_post_processing_resources( + self, split: str, resource_name: str, dl_manager: DownloadManager + ) -> Optional[str]: + """Download the resource using the download manager and return the downloaded path.""" + return None + + @abc.abstractmethod + def _split_generators(self, dl_manager: Union[DownloadManager, StreamingDownloadManager]): + """Specify feature dictionary generators and dataset splits. + + This function returns a list of `SplitGenerator`s defining how to generate + data and what splits to use. + + Example: + + return [ + datasets.SplitGenerator( + name=datasets.Split.TRAIN, + gen_kwargs={'file': 'train_data.zip'}, + ), + datasets.SplitGenerator( + name=datasets.Split.TEST, + gen_kwargs={'file': 'test_data.zip'}, + ), + ] + + The above code will first call `_generate_examples(file='train_data.zip')` + to write the train data, then `_generate_examples(file='test_data.zip')` to + write the test data. + + Datasets are typically split into different subsets to be used at various + stages of training and evaluation. + + Note that for datasets without a `VALIDATION` split, you can use a + fraction of the `TRAIN` data for evaluation as you iterate on your model + so as not to overfit to the `TEST` data. + + For downloads and extractions, use the given `download_manager`. + Note that the `DownloadManager` caches downloads, so it is fine to have each + generator attempt to download the source data. + + A good practice is to download all data in this function, and then + distribute the relevant parts to each split with the `gen_kwargs` argument + + Args: + dl_manager (`Union[DownloadManager, StreamingDownloadManager]`): + Download manager to download the data + + Returns: + `list`. + """ + raise NotImplementedError() + + @abc.abstractmethod + def _prepare_split( + self, + split_generator: SplitGenerator, + file_format: str = "arrow", + max_shard_size: Optional[Union[str, int]] = None, + num_proc: Optional[int] = None, + **kwargs, + ): + """Generate the examples and record them on disk. + + Args: + split_generator (`SplitGenerator`): + Split generator to process + file_format (`str`, *optional*): + format of the data files in which the dataset will be written. + Supported formats: "arrow", "parquet". Default to "arrow" format. + max_shard_size (`Union[str, int]`, *optional*): + Maximum number of bytes written per shard, default is "500MB". + The size is based on uncompressed data size, so in practice your shard files may be smaller than + `max_shard_size` thanks to Parquet compression for example. + num_proc (`int`, *optional*, defaults to `None`): + Number of processes when downloading and generating the dataset locally. + Multiprocessing is disabled by default. + + + **kwargs: Additional kwargs forwarded from _download_and_prepare + """ + raise NotImplementedError() + + def _get_examples_iterable_for_split(self, split_generator: SplitGenerator) -> ExamplesIterable: + """Generate the examples on the fly. + + Args: + split_generator (`SplitGenerator`): + Split generator to process + """ + raise NotImplementedError() + + +class GeneratorBasedBuilder(DatasetBuilder): + """Base class for datasets with data generation based on dict generators. + + `GeneratorBasedBuilder` is a convenience class that abstracts away much + of the data writing and reading of `DatasetBuilder`. It expects subclasses to + implement generators of feature dictionaries across the dataset splits + (`_split_generators`). See the method docstrings for details. + """ + + @abc.abstractmethod + def _generate_examples(self, **kwargs): + """Default function generating examples for each `SplitGenerator`. + + This function preprocess the examples from the raw data to the preprocessed + dataset files. + This function is called once for each `SplitGenerator` defined in + `_split_generators`. The examples yielded here will be written on + disk. + + Args: + **kwargs (additional keyword arguments): + Arguments forwarded from the SplitGenerator.gen_kwargs + + Yields: + key: `str` or `int`, a unique deterministic example identification key. + * Unique: An error will be raised if two examples are yield with the + same key. + * Deterministic: When generating the dataset twice, the same example + should have the same key. + Good keys can be the image id, or line number if examples are extracted + from a text file. + The key will be hashed and sorted to shuffle examples deterministically, + such as generating the dataset multiple times keep examples in the + same order. + example: `dict`, a feature dictionary + ready to be encoded and written to disk. The example will be + encoded with `self.info.features.encode_example({...})`. + """ + raise NotImplementedError() + + def _prepare_split( + self, + split_generator: SplitGenerator, + check_duplicate_keys: bool, + file_format="arrow", + num_proc: Optional[int] = None, + max_shard_size: Optional[Union[int, str]] = None, + ): + max_shard_size = convert_file_size_to_int(max_shard_size or config.MAX_SHARD_SIZE) + + if self.info.splits is not None: + split_info = self.info.splits[split_generator.name] + else: + split_info = split_generator.split_info + + SUFFIX = "-JJJJJ-SSSSS-of-NNNNN" + fname = f"{self.dataset_name}-{split_generator.name}{SUFFIX}.{file_format}" + fpath = posixpath.join(self._output_dir, fname) + + if num_proc and num_proc > 1: + num_input_shards = _number_of_shards_in_gen_kwargs(split_generator.gen_kwargs) + if num_input_shards <= 1: + logger.warning( + f"Setting num_proc from {num_proc} back to 1 for the {split_info.name} split to disable multiprocessing as it only contains one shard." + ) + num_proc = 1 + elif num_input_shards < num_proc: + logger.warning( + f"Setting num_proc from {num_proc} to {num_input_shards} for the {split_info.name} split as it only contains {num_input_shards} shards." + ) + num_proc = num_input_shards + + pbar = hf_tqdm( + unit=" examples", + total=split_info.num_examples, + desc=f"Generating {split_info.name} split", + ) + + _prepare_split_args = { + "fpath": fpath, + "file_format": file_format, + "max_shard_size": max_shard_size, + "split_info": split_info, + "check_duplicate_keys": check_duplicate_keys, + } + + if num_proc is None or num_proc == 1: + result = None + gen_kwargs = split_generator.gen_kwargs + job_id = 0 + with pbar: + for job_id, done, content in self._prepare_split_single( + gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args + ): + if done: + result = content + else: + pbar.update(content) + # wrapping everything into lists for consistency with the multiprocessed code path + assert result is not None, "Failed to retrieve results from prepare_split" + examples_per_job, bytes_per_job, features_per_job, shards_per_job, shard_lengths_per_job = ( + [item] for item in result + ) + else: + kwargs_per_job = [ + {"gen_kwargs": gen_kwargs, "job_id": job_id, **_prepare_split_args} + for job_id, gen_kwargs in enumerate( + _split_gen_kwargs(split_generator.gen_kwargs, max_num_jobs=num_proc) + ) + ] + num_jobs = len(kwargs_per_job) + + examples_per_job = [None] * num_jobs + bytes_per_job = [None] * num_jobs + features_per_job = [None] * num_jobs + shards_per_job = [None] * num_jobs + shard_lengths_per_job = [None] * num_jobs + + with Pool(num_proc) as pool: + with pbar: + for job_id, done, content in iflatmap_unordered( + pool, self._prepare_split_single, kwargs_iterable=kwargs_per_job + ): + if done: + # the content is the result of the job + ( + examples_per_job[job_id], + bytes_per_job[job_id], + features_per_job[job_id], + shards_per_job[job_id], + shard_lengths_per_job[job_id], + ) = content + else: + # the content is the number of examples progress update + pbar.update(content) + + assert None not in examples_per_job, ( + f"Failed to retrieve results from prepare_split: result list {examples_per_job} still contains None - at least one worker failed to return its results" + ) + + total_shards = sum(shards_per_job) + total_num_examples = sum(examples_per_job) + total_num_bytes = sum(bytes_per_job) + features = features_per_job[0] + + split_generator.split_info.num_examples = total_num_examples + split_generator.split_info.num_bytes = total_num_bytes + + # should rename everything at the end + logger.debug(f"Renaming {total_shards} shards.") + if total_shards > 1: + # use the -SSSSS-of-NNNNN pattern + + def _rename_shard(shard_and_job: tuple[int]): + shard_id, job_id = shard_and_job + global_shard_id = sum(shards_per_job[:job_id]) + shard_id + self._rename( + fpath.replace("SSSSS", f"{shard_id:05d}").replace("JJJJJ", f"{job_id:05d}"), + fpath.replace("JJJJJ-SSSSS", f"{global_shard_id:05d}").replace("NNNNN", f"{total_shards:05d}"), + ) + + shards_and_jobs = [ + (shard_id, job_id) + for job_id, num_shards in enumerate(shards_per_job) + for shard_id in range(num_shards) + ] + thread_map(_rename_shard, shards_and_jobs, disable=True, max_workers=64) + + split_generator.split_info.shard_lengths = [ + shard_length for shard_lengths in shard_lengths_per_job for shard_length in shard_lengths + ] + else: + # don't use any pattern + shard_id, job_id = 0, 0 + self._rename( + fpath.replace("SSSSS", f"{shard_id:05d}").replace("JJJJJ", f"{job_id:05d}"), + fpath.replace(SUFFIX, ""), + ) + + if self.info.features is None: + self.info.features = features + + def _prepare_split_single( + self, + gen_kwargs: dict, + fpath: str, + file_format: str, + max_shard_size: int, + split_info: SplitInfo, + check_duplicate_keys: bool, + job_id: int, + ) -> Iterable[tuple[int, bool, Union[int, tuple]]]: + generator = self._generate_examples(**gen_kwargs) + writer_class = ParquetWriter if file_format == "parquet" else ArrowWriter + embed_local_files = file_format == "parquet" + shard_lengths = [] + total_num_examples, total_num_bytes = 0, 0 + + shard_id = 0 + num_examples_progress_update = 0 + try: + writer = writer_class( + features=self.info.features, + path=fpath.replace("SSSSS", f"{shard_id:05d}").replace("JJJJJ", f"{job_id:05d}"), + writer_batch_size=self._writer_batch_size, + hash_salt=split_info.name, + check_duplicates=check_duplicate_keys, + storage_options=self._fs.storage_options, + embed_local_files=embed_local_files, + ) + try: + _time = time.time() + for key, record in generator: + if max_shard_size is not None and writer._num_bytes > max_shard_size: + num_examples, num_bytes = writer.finalize() + writer.close() + shard_lengths.append(num_examples) + total_num_examples += num_examples + total_num_bytes += num_bytes + shard_id += 1 + writer = writer_class( + features=writer._features, + path=fpath.replace("SSSSS", f"{shard_id:05d}").replace("JJJJJ", f"{job_id:05d}"), + writer_batch_size=self._writer_batch_size, + hash_salt=split_info.name, + check_duplicates=check_duplicate_keys, + storage_options=self._fs.storage_options, + embed_local_files=embed_local_files, + ) + example = self.info.features.encode_example(record) if self.info.features is not None else record + writer.write(example, key) + num_examples_progress_update += 1 + if time.time() > _time + config.PBAR_REFRESH_TIME_INTERVAL: + _time = time.time() + yield job_id, False, num_examples_progress_update + num_examples_progress_update = 0 + finally: + yield job_id, False, num_examples_progress_update + num_shards = shard_id + 1 + num_examples, num_bytes = writer.finalize() + writer.close() + shard_lengths.append(num_examples) + total_num_examples += num_examples + total_num_bytes += num_bytes + except Exception as e: + # Ignore the writer's error for no examples written to the file if this error was caused by the error in _generate_examples before the first example was yielded + if isinstance(e, SchemaInferenceError) and e.__context__ is not None: + e = e.__context__ + raise DatasetGenerationError("An error occurred while generating the dataset") from e + + yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths) + + def _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs): + super()._download_and_prepare( + dl_manager, + verification_mode, + check_duplicate_keys=verification_mode == VerificationMode.BASIC_CHECKS + or verification_mode == VerificationMode.ALL_CHECKS, + **prepare_splits_kwargs, + ) + + def _get_examples_iterable_for_split(self, split_generator: SplitGenerator) -> ExamplesIterable: + return ExamplesIterable(self._generate_examples, split_generator.gen_kwargs) + + +class ArrowBasedBuilder(DatasetBuilder): + """Base class for datasets with data generation based on Arrow loading functions (CSV/JSON/Parquet).""" + + @abc.abstractmethod + def _generate_tables(self, **kwargs): + """Default function generating examples for each `SplitGenerator`. + + This function preprocess the examples from the raw data to the preprocessed + dataset files. + This function is called once for each `SplitGenerator` defined in + `_split_generators`. The examples yielded here will be written on + disk. + + Args: + **kwargs (additional keyword arguments): + Arguments forwarded from the SplitGenerator.gen_kwargs + + Yields: + key: `str` or `int`, a unique deterministic example identification key. + * Unique: An error will be raised if two examples are yield with the + same key. + * Deterministic: When generating the dataset twice, the same example + should have the same key. + Good keys can be the image id, or line number if examples are extracted + from a text file. + The key will be hashed and sorted to shuffle examples deterministically, + such as generating the dataset multiple times keep examples in the + same order. + example: `pyarrow.Table`, a feature table + ready to be encoded and written to disk. + """ + raise NotImplementedError() + + def _prepare_split( + self, + split_generator: SplitGenerator, + file_format: str = "arrow", + num_proc: Optional[int] = None, + max_shard_size: Optional[Union[str, int]] = None, + ): + max_shard_size = convert_file_size_to_int(max_shard_size or config.MAX_SHARD_SIZE) + + try: + split_info = self.info.splits[split_generator.name] + except Exception: + split_info = split_generator.split_info + + SUFFIX = "-JJJJJ-SSSSS-of-NNNNN" + fname = f"{self.dataset_name}-{split_generator.name}{SUFFIX}.{file_format}" + fpath = posixpath.join(self._output_dir, fname) + + if num_proc and num_proc > 1: + num_input_shards = _number_of_shards_in_gen_kwargs(split_generator.gen_kwargs) + if num_input_shards <= 1: + logger.warning( + f"Setting num_proc from {num_proc} back to 1 for the {split_info.name} split to disable multiprocessing as it only contains one shard." + ) + num_proc = 1 + elif num_input_shards < num_proc: + logger.warning( + f"Setting num_proc from {num_proc} to {num_input_shards} for the {split_info.name} split as it only contains {num_input_shards} shards." + ) + num_proc = num_input_shards + + pbar = hf_tqdm( + unit=" examples", + total=split_info.num_examples, + desc=f"Generating {split_info.name} split", + ) + + _prepare_split_args = { + "fpath": fpath, + "file_format": file_format, + "max_shard_size": max_shard_size, + } + + if num_proc is None or num_proc == 1: + result = None + gen_kwargs = split_generator.gen_kwargs + job_id = 0 + with pbar: + for job_id, done, content in self._prepare_split_single( + gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args + ): + if done: + result = content + else: + pbar.update(content) + # wrapping everything into lists for consistency with the multiprocessed code path + assert result is not None, "Failed to retrieve results from prepare_split" + examples_per_job, bytes_per_job, features_per_job, shards_per_job, shard_lengths_per_job = ( + [item] for item in result + ) + else: + kwargs_per_job = [ + {"gen_kwargs": gen_kwargs, "job_id": job_id, **_prepare_split_args} + for job_id, gen_kwargs in enumerate( + _split_gen_kwargs(split_generator.gen_kwargs, max_num_jobs=num_proc) + ) + ] + num_jobs = len(kwargs_per_job) + + examples_per_job = [None] * num_jobs + bytes_per_job = [None] * num_jobs + features_per_job = [None] * num_jobs + shards_per_job = [None] * num_jobs + shard_lengths_per_job = [None] * num_jobs + + with Pool(num_proc) as pool: + with pbar: + for job_id, done, content in iflatmap_unordered( + pool, self._prepare_split_single, kwargs_iterable=kwargs_per_job + ): + if done: + # the content is the result of the job + ( + examples_per_job[job_id], + bytes_per_job[job_id], + features_per_job[job_id], + shards_per_job[job_id], + shard_lengths_per_job[job_id], + ) = content + else: + # the content is the number of examples progress update + pbar.update(content) + + assert None not in examples_per_job, ( + f"Failed to retrieve results from prepare_split: result list {examples_per_job} still contains None - at least one worker failed to return its results" + ) + + total_shards = sum(shards_per_job) + total_num_examples = sum(examples_per_job) + total_num_bytes = sum(bytes_per_job) + features = features_per_job[0] + + split_generator.split_info.num_examples = total_num_examples + split_generator.split_info.num_bytes = total_num_bytes + + # should rename everything at the end + logger.debug(f"Renaming {total_shards} shards.") + if total_shards > 1: + # use the -SSSSS-of-NNNNN pattern + + def _rename_shard(shard_id_and_job: tuple[int]): + shard_id, job_id = shard_id_and_job + global_shard_id = sum(shards_per_job[:job_id]) + shard_id + self._rename( + fpath.replace("SSSSS", f"{shard_id:05d}").replace("JJJJJ", f"{job_id:05d}"), + fpath.replace("JJJJJ-SSSSS", f"{global_shard_id:05d}").replace("NNNNN", f"{total_shards:05d}"), + ) + + shard_ids_and_jobs = [ + (shard_id, job_id) + for job_id, num_shards in enumerate(shards_per_job) + for shard_id in range(num_shards) + ] + thread_map(_rename_shard, shard_ids_and_jobs, disable=True, max_workers=64) + + split_generator.split_info.shard_lengths = [ + shard_length for shard_lengths in shard_lengths_per_job for shard_length in shard_lengths + ] + else: + # don't use any pattern + shard_id, job_id = 0, 0 + self._rename( + fpath.replace("SSSSS", f"{shard_id:05d}").replace("JJJJJ", f"{job_id:05d}"), + fpath.replace(SUFFIX, ""), + ) + + if self.info.features is None: + self.info.features = features + + def _prepare_split_single( + self, gen_kwargs: dict, fpath: str, file_format: str, max_shard_size: int, job_id: int + ) -> Iterable[tuple[int, bool, Union[int, tuple]]]: + gen_kwargs = {k: tracked_list(v) if isinstance(v, list) else v for k, v in gen_kwargs.items()} + generator = self._generate_tables(**gen_kwargs) + writer_class = ParquetWriter if file_format == "parquet" else ArrowWriter + embed_local_files = file_format == "parquet" + shard_lengths = [] + total_num_examples, total_num_bytes = 0, 0 + + shard_id = 0 + num_examples_progress_update = 0 + try: + writer = writer_class( + features=self.info.features, + path=fpath.replace("SSSSS", f"{shard_id:05d}").replace("JJJJJ", f"{job_id:05d}"), + writer_batch_size=self._writer_batch_size, + storage_options=self._fs.storage_options, + embed_local_files=embed_local_files, + ) + try: + _time = time.time() + for _, table in generator: + if max_shard_size is not None and writer._num_bytes > max_shard_size: + num_examples, num_bytes = writer.finalize() + writer.close() + shard_lengths.append(num_examples) + total_num_examples += num_examples + total_num_bytes += num_bytes + shard_id += 1 + writer = writer_class( + features=writer._features, + path=fpath.replace("SSSSS", f"{shard_id:05d}").replace("JJJJJ", f"{job_id:05d}"), + writer_batch_size=self._writer_batch_size, + storage_options=self._fs.storage_options, + embed_local_files=embed_local_files, + ) + try: + writer.write_table(table) + except CastError as cast_error: + raise DatasetGenerationCastError.from_cast_error( + cast_error=cast_error, + builder_name=self.info.builder_name, + gen_kwargs=gen_kwargs, + token=self.token, + ) + num_examples_progress_update += len(table) + if time.time() > _time + config.PBAR_REFRESH_TIME_INTERVAL: + _time = time.time() + yield job_id, False, num_examples_progress_update + num_examples_progress_update = 0 + finally: + yield job_id, False, num_examples_progress_update + num_shards = shard_id + 1 + num_examples, num_bytes = writer.finalize() + writer.close() + shard_lengths.append(num_examples) + total_num_examples += num_examples + total_num_bytes += num_bytes + except Exception as e: + # Ignore the writer's error for no examples written to the file if this error was caused by the error in _generate_examples before the first example was yielded + if isinstance(e, SchemaInferenceError) and e.__context__ is not None: + e = e.__context__ + if isinstance(e, DatasetGenerationError): + raise + raise DatasetGenerationError("An error occurred while generating the dataset") from e + + yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths) + + def _get_examples_iterable_for_split(self, split_generator: SplitGenerator) -> ExamplesIterable: + return ArrowExamplesIterable(self._generate_tables, kwargs=split_generator.gen_kwargs) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/combine.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/combine.py new file mode 100644 index 0000000000000000000000000000000000000000..3b253e240c5520f53f599a261b3228b8c618a52f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/combine.py @@ -0,0 +1,215 @@ +from typing import Optional, TypeVar + +from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets +from .dataset_dict import DatasetDict, IterableDatasetDict +from .info import DatasetInfo +from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interleave_iterable_datasets +from .splits import NamedSplit +from .utils import logging +from .utils.py_utils import Literal + + +logger = logging.get_logger(__name__) + + +DatasetType = TypeVar("DatasetType", Dataset, IterableDataset) + + +def interleave_datasets( + datasets: list[DatasetType], + probabilities: Optional[list[float]] = None, + seed: Optional[int] = None, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + stopping_strategy: Literal["first_exhausted", "all_exhausted"] = "first_exhausted", +) -> DatasetType: + """ + Interleave several datasets (sources) into a single dataset. + The new dataset is constructed by alternating between the sources to get the examples. + + You can use this function on a list of [`Dataset`] objects, or on a list of [`IterableDataset`] objects. + + - If `probabilities` is `None` (default) the new dataset is constructed by cycling between each source to get the examples. + - If `probabilities` is not `None`, the new dataset is constructed by getting examples from a random source at a time according to the provided probabilities. + + The resulting dataset ends when one of the source datasets runs out of examples except when `oversampling` is `True`, + in which case, the resulting dataset ends when all datasets have ran out of examples at least one time. + + Note for iterable datasets: + + In a distributed setup or in PyTorch DataLoader workers, the stopping strategy is applied per process. + Therefore the "first_exhausted" strategy on an sharded iterable dataset can generate less samples in total (up to 1 missing sample per subdataset per worker). + + Args: + datasets (`List[Dataset]` or `List[IterableDataset]`): + List of datasets to interleave. + probabilities (`List[float]`, *optional*, defaults to `None`): + If specified, the new dataset is constructed by sampling + examples from one source at a time according to these probabilities. + seed (`int`, *optional*, defaults to `None`): + The random seed used to choose a source for each example. + info ([`DatasetInfo`], *optional*): + Dataset information, like description, citation, etc. + + split ([`NamedSplit`], *optional*): + Name of the dataset split. + + stopping_strategy (`str`, defaults to `first_exhausted`): + Two strategies are proposed right now, `first_exhausted` and `all_exhausted`. + By default, `first_exhausted` is an undersampling strategy, i.e the dataset construction is stopped as soon as one dataset has ran out of samples. + If the strategy is `all_exhausted`, we use an oversampling strategy, i.e the dataset construction is stopped as soon as every samples of every dataset has been added at least once. + Note that if the strategy is `all_exhausted`, the interleaved dataset size can get enormous: + - with no probabilities, the resulting dataset will have `max_length_datasets*nb_dataset` samples. + - with given probabilities, the resulting dataset will have more samples if some datasets have really low probability of visiting. + Returns: + [`Dataset`] or [`IterableDataset`]: Return type depends on the input `datasets` + parameter. `Dataset` if the input is a list of `Dataset`, `IterableDataset` if the input is a list of + `IterableDataset`. + + Example: + + For regular datasets (map-style): + + ```python + >>> from datasets import Dataset, interleave_datasets + >>> d1 = Dataset.from_dict({"a": [0, 1, 2]}) + >>> d2 = Dataset.from_dict({"a": [10, 11, 12]}) + >>> d3 = Dataset.from_dict({"a": [20, 21, 22]}) + >>> dataset = interleave_datasets([d1, d2, d3], probabilities=[0.7, 0.2, 0.1], seed=42, stopping_strategy="all_exhausted") + >>> dataset["a"] + [10, 0, 11, 1, 2, 20, 12, 10, 0, 1, 2, 21, 0, 11, 1, 2, 0, 1, 12, 2, 10, 0, 22] + >>> dataset = interleave_datasets([d1, d2, d3], probabilities=[0.7, 0.2, 0.1], seed=42) + >>> dataset["a"] + [10, 0, 11, 1, 2] + >>> dataset = interleave_datasets([d1, d2, d3]) + >>> dataset["a"] + [0, 10, 20, 1, 11, 21, 2, 12, 22] + >>> dataset = interleave_datasets([d1, d2, d3], stopping_strategy="all_exhausted") + >>> dataset["a"] + [0, 10, 20, 1, 11, 21, 2, 12, 22] + >>> d1 = Dataset.from_dict({"a": [0, 1, 2]}) + >>> d2 = Dataset.from_dict({"a": [10, 11, 12, 13]}) + >>> d3 = Dataset.from_dict({"a": [20, 21, 22, 23, 24]}) + >>> dataset = interleave_datasets([d1, d2, d3]) + >>> dataset["a"] + [0, 10, 20, 1, 11, 21, 2, 12, 22] + >>> dataset = interleave_datasets([d1, d2, d3], stopping_strategy="all_exhausted") + >>> dataset["a"] + [0, 10, 20, 1, 11, 21, 2, 12, 22, 0, 13, 23, 1, 10, 24] + >>> dataset = interleave_datasets([d1, d2, d3], probabilities=[0.7, 0.2, 0.1], seed=42) + >>> dataset["a"] + [10, 0, 11, 1, 2] + >>> dataset = interleave_datasets([d1, d2, d3], probabilities=[0.7, 0.2, 0.1], seed=42, stopping_strategy="all_exhausted") + >>> dataset["a"] + [10, 0, 11, 1, 2, 20, 12, 13, ..., 0, 1, 2, 0, 24] + For datasets in streaming mode (iterable): + + >>> from datasets import interleave_datasets + >>> d1 = load_dataset('allenai/c4', 'es', split='train', streaming=True) + >>> d2 = load_dataset('allenai/c4', 'fr', split='train', streaming=True) + >>> dataset = interleave_datasets([d1, d2]) + >>> iterator = iter(dataset) + >>> next(iterator) + {'text': 'Comprar Zapatillas para niña en chancla con goma por...'} + >>> next(iterator) + {'text': 'Le sacre de philippe ier, 23 mai 1059 - Compte Rendu...' + ``` + """ + from .arrow_dataset import Dataset + from .iterable_dataset import IterableDataset + + if not datasets: + raise ValueError("Unable to interleave an empty list of datasets.") + for i, dataset in enumerate(datasets): + if not isinstance(dataset, (Dataset, IterableDataset)): + if isinstance(dataset, (DatasetDict, IterableDatasetDict)): + if not dataset: + raise ValueError( + f"Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} " + "is an empty dataset dictionary." + ) + raise ValueError( + f"Dataset at position {i} has at least one split: {list(dataset)}\n" + f"Please pick one to interleave with the other datasets, for example: dataset['{next(iter(dataset))}']" + ) + raise ValueError( + f"Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(dataset).__name__}." + ) + if i == 0: + dataset_type, other_type = ( + (Dataset, IterableDataset) if isinstance(dataset, Dataset) else (IterableDataset, Dataset) + ) + elif not isinstance(dataset, dataset_type): + raise ValueError( + f"Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects." + ) + if stopping_strategy not in ["first_exhausted", "all_exhausted"]: + raise ValueError(f"{stopping_strategy} is not supported. Please enter a valid stopping_strategy.") + if dataset_type is Dataset: + return _interleave_map_style_datasets( + datasets, probabilities, seed, info=info, split=split, stopping_strategy=stopping_strategy + ) + else: + return _interleave_iterable_datasets( + datasets, probabilities, seed, info=info, split=split, stopping_strategy=stopping_strategy + ) + + +def concatenate_datasets( + dsets: list[DatasetType], + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + axis: int = 0, +) -> DatasetType: + """ + Converts a list of [`Dataset`] with the same schema into a single [`Dataset`]. + + Args: + dsets (`List[datasets.Dataset]`): + List of Datasets to concatenate. + info (`DatasetInfo`, *optional*): + Dataset information, like description, citation, etc. + split (`NamedSplit`, *optional*): + Name of the dataset split. + axis (`{0, 1}`, defaults to `0`): + Axis to concatenate over, where `0` means over rows (vertically) and `1` means over columns + (horizontally). + + + + Example: + + ```py + >>> ds3 = concatenate_datasets([ds1, ds2]) + ``` + """ + + if not dsets: + raise ValueError("Unable to concatenate an empty list of datasets.") + for i, dataset in enumerate(dsets): + if not isinstance(dataset, (Dataset, IterableDataset)): + if isinstance(dataset, (DatasetDict, IterableDatasetDict)): + if not dataset: + raise ValueError( + f"Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} " + "is an empty dataset dictionary." + ) + raise ValueError( + f"Dataset at position {i} has at least one split: {list(dataset)}\n" + f"Please pick one to interleave with the other datasets, for example: dataset['{next(iter(dataset))}']" + ) + raise ValueError( + f"Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(dataset).__name__}." + ) + if i == 0: + dataset_type, other_type = ( + (Dataset, IterableDataset) if isinstance(dataset, Dataset) else (IterableDataset, Dataset) + ) + elif not isinstance(dataset, dataset_type): + raise ValueError( + f"Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects." + ) + if dataset_type is Dataset: + return _concatenate_map_style_datasets(dsets, info=info, split=split, axis=axis) + else: + return _concatenate_iterable_datasets(dsets, info=info, split=split, axis=axis) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..905e753955a348a8e486302e1b6f5e8f53ec7bf4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/__init__.py @@ -0,0 +1,13 @@ +from abc import ABC, abstractmethod +from argparse import ArgumentParser + + +class BaseDatasetsCLICommand(ABC): + @staticmethod + @abstractmethod + def register_subcommand(parser: ArgumentParser): + raise NotImplementedError() + + @abstractmethod + def run(self): + raise NotImplementedError() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/convert.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/convert.py new file mode 100644 index 0000000000000000000000000000000000000000..f82547efdee094ab84882e19d219e831b60e17f1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/convert.py @@ -0,0 +1,195 @@ +import os +import re +import shutil +from argparse import ArgumentParser, Namespace + +from datasets.commands import BaseDatasetsCLICommand +from datasets.utils.logging import get_logger + + +HIGHLIGHT_MESSAGE_PRE = """<<<<<<< This should probably be modified because it mentions: """ + +HIGHLIGHT_MESSAGE_POST = """======= +>>>>>>> +""" + +TO_HIGHLIGHT = [ + "TextEncoderConfig", + "ByteTextEncoder", + "SubwordTextEncoder", + "encoder_config", + "maybe_build_from_corpus", + "manual_dir", +] + +TO_CONVERT = [ + # (pattern, replacement) + # Order is important here for some replacements + (r"tfds\.core", r"datasets"), + (r"tf\.io\.gfile\.GFile", r"open"), + (r"tf\.([\w\d]+)", r"datasets.Value('\1')"), + (r"tfds\.features\.Text\(\)", r"datasets.Value('string')"), + (r"tfds\.features\.Text\(", r"datasets.Value('string'),"), + (r"features\s*=\s*tfds.features.FeaturesDict\(", r"features=datasets.Features("), + (r"tfds\.features\.FeaturesDict\(", r"dict("), + (r"The TensorFlow Datasets Authors", r"The TensorFlow Datasets Authors and the HuggingFace Datasets Authors"), + (r"tfds\.", r"datasets."), + (r"dl_manager\.manual_dir", r"self.config.data_dir"), + (r"self\.builder_config", r"self.config"), +] + + +def convert_command_factory(args: Namespace): + """ + Factory function used to convert a model TF 1.0 checkpoint in a PyTorch checkpoint. + + Returns: ConvertCommand + """ + return ConvertCommand(args.tfds_path, args.datasets_directory) + + +class ConvertCommand(BaseDatasetsCLICommand): + @staticmethod + def register_subcommand(parser: ArgumentParser): + """ + Register this command to argparse so it's available for the datasets-cli + + Args: + parser: Root parser to register command-specific arguments + """ + train_parser = parser.add_parser( + "convert", + help="Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.", + ) + train_parser.add_argument( + "--tfds_path", + type=str, + required=True, + help="Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.", + ) + train_parser.add_argument( + "--datasets_directory", type=str, required=True, help="Path to the HuggingFace Datasets folder." + ) + train_parser.set_defaults(func=convert_command_factory) + + def __init__(self, tfds_path: str, datasets_directory: str, *args): + self._logger = get_logger("datasets-cli/converting") + + self._tfds_path = tfds_path + self._datasets_directory = datasets_directory + + def run(self): + if os.path.isdir(self._tfds_path): + abs_tfds_path = os.path.abspath(self._tfds_path) + elif os.path.isfile(self._tfds_path): + abs_tfds_path = os.path.dirname(self._tfds_path) + else: + raise ValueError("--tfds_path is neither a directory nor a file. Please check path.") + + abs_datasets_path = os.path.abspath(self._datasets_directory) + + self._logger.info(f"Converting datasets from {abs_tfds_path} to {abs_datasets_path}") + + utils_files = [] + with_manual_update = [] + imports_to_builder_map = {} + + if os.path.isdir(self._tfds_path): + file_names = os.listdir(abs_tfds_path) + else: + file_names = [os.path.basename(self._tfds_path)] + + for f_name in file_names: + self._logger.info(f"Looking at file {f_name}") + input_file = os.path.join(abs_tfds_path, f_name) + output_file = os.path.join(abs_datasets_path, f_name) + + if not os.path.isfile(input_file) or "__init__" in f_name or "_test" in f_name or ".py" not in f_name: + self._logger.info("Skipping file") + continue + + with open(input_file, encoding="utf-8") as f: + lines = f.readlines() + + out_lines = [] + is_builder = False + needs_manual_update = False + tfds_imports = [] + for line in lines: + out_line = line + + # Convert imports + if "import tensorflow.compat.v2 as tf" in out_line: + continue + elif "@tfds.core" in out_line: + continue + elif "builder=self" in out_line: + continue + elif "import tensorflow_datasets.public_api as tfds" in out_line: + out_line = "import datasets\n" + elif "import tensorflow" in out_line: + # order is important here + out_line = "" + continue + elif "from absl import logging" in out_line: + out_line = "from datasets import logging\n" + elif "getLogger" in out_line: + out_line = out_line.replace("getLogger", "get_logger") + elif any(expression in out_line for expression in TO_HIGHLIGHT): + needs_manual_update = True + to_remove = list(filter(lambda e: e in out_line, TO_HIGHLIGHT)) + out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(to_remove) + "\n") + out_lines.append(out_line) + out_lines.append(HIGHLIGHT_MESSAGE_POST) + continue + else: + for pattern, replacement in TO_CONVERT: + out_line = re.sub(pattern, replacement, out_line) + + # Take care of saving utilities (to later move them together with main script) + if "tensorflow_datasets" in out_line: + match = re.match(r"from\stensorflow_datasets.*import\s([^\.\r\n]+)", out_line) + tfds_imports.extend(imp.strip() for imp in match.group(1).split(",")) + out_line = "from . import " + match.group(1) + + # Check we have not forget anything + if "tf." in out_line or "tfds." in out_line or "tensorflow_datasets" in out_line: + raise ValueError(f"Error converting {out_line.strip()}") + + if "GeneratorBasedBuilder" in out_line: + is_builder = True + out_lines.append(out_line) + + if is_builder or "wmt" in f_name: + # We create a new directory for each dataset + dir_name = f_name.replace(".py", "") + output_dir = os.path.join(abs_datasets_path, dir_name) + output_file = os.path.join(output_dir, f_name) + os.makedirs(output_dir, exist_ok=True) + self._logger.info(f"Adding directory {output_dir}") + imports_to_builder_map.update(dict.fromkeys(tfds_imports, output_dir)) + else: + # Utilities will be moved at the end + utils_files.append(output_file) + + if needs_manual_update: + with_manual_update.append(output_file) + + with open(output_file, "w", encoding="utf-8") as f: + f.writelines(out_lines) + self._logger.info(f"Converted in {output_file}") + + for utils_file in utils_files: + try: + f_name = os.path.basename(utils_file) + dest_folder = imports_to_builder_map[f_name.replace(".py", "")] + self._logger.info(f"Moving {dest_folder} to {utils_file}") + shutil.copy(utils_file, dest_folder) + except KeyError: + self._logger.error(f"Cannot find destination folder for {utils_file}. Please copy manually.") + + if with_manual_update: + for file_path in with_manual_update: + self._logger.warning( + f"You need to manually update file {file_path} to remove configurations using 'TextEncoderConfig'." + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/convert_to_parquet.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/convert_to_parquet.py new file mode 100644 index 0000000000000000000000000000000000000000..43e82de802bf3687678ddee537edf662d7639bb7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/convert_to_parquet.py @@ -0,0 +1,46 @@ +from argparse import ArgumentParser +from typing import Optional + +from datasets.commands import BaseDatasetsCLICommand +from datasets.hub import convert_to_parquet + + +def _command_factory(args): + return ConvertToParquetCommand( + args.dataset_id, + args.token, + args.revision, + args.trust_remote_code, + ) + + +class ConvertToParquetCommand(BaseDatasetsCLICommand): + @staticmethod + def register_subcommand(parser): + parser: ArgumentParser = parser.add_parser("convert_to_parquet", help="Convert dataset to Parquet") + parser.add_argument( + "dataset_id", help="source dataset ID, e.g. USERNAME/DATASET_NAME or ORGANIZATION/DATASET_NAME" + ) + parser.add_argument("--token", help="access token to the Hugging Face Hub (defaults to logged-in user's one)") + parser.add_argument("--revision", help="source revision") + parser.add_argument( + "--trust_remote_code", action="store_true", help="whether to trust the code execution of the load script" + ) + parser.set_defaults(func=_command_factory) + + def __init__( + self, + dataset_id: str, + token: Optional[str], + revision: Optional[str], + trust_remote_code: bool, + ): + self._dataset_id = dataset_id + self._token = token + self._revision = revision + self._trust_remote_code = trust_remote_code + + def run(self) -> None: + _ = convert_to_parquet( + self._dataset_id, revision=self._revision, token=self._token, trust_remote_code=self._trust_remote_code + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/datasets_cli.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/datasets_cli.py new file mode 100644 index 0000000000000000000000000000000000000000..c8f02d9633ac4fbb6d98f90e7a53bedf45f006e3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/datasets_cli.py @@ -0,0 +1,43 @@ +#!/usr/bin/env python +from argparse import ArgumentParser + +from datasets.commands.convert import ConvertCommand +from datasets.commands.convert_to_parquet import ConvertToParquetCommand +from datasets.commands.delete_from_hub import DeleteFromHubCommand +from datasets.commands.env import EnvironmentCommand +from datasets.commands.test import TestCommand +from datasets.utils.logging import set_verbosity_info + + +def parse_unknown_args(unknown_args): + return {key.lstrip("-"): value for key, value in zip(unknown_args[::2], unknown_args[1::2])} + + +def main(): + parser = ArgumentParser( + "HuggingFace Datasets CLI tool", usage="datasets-cli []", allow_abbrev=False + ) + commands_parser = parser.add_subparsers(help="datasets-cli command helpers") + set_verbosity_info() + + # Register commands + ConvertCommand.register_subcommand(commands_parser) + EnvironmentCommand.register_subcommand(commands_parser) + TestCommand.register_subcommand(commands_parser) + ConvertToParquetCommand.register_subcommand(commands_parser) + DeleteFromHubCommand.register_subcommand(commands_parser) + + # Parse args + args, unknown_args = parser.parse_known_args() + if not hasattr(args, "func"): + parser.print_help() + exit(1) + kwargs = parse_unknown_args(unknown_args) + + # Run + service = args.func(args, **kwargs) + service.run() + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/delete_from_hub.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/delete_from_hub.py new file mode 100644 index 0000000000000000000000000000000000000000..126a029c246ab584df47c4ba1b908a798b9003b6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/delete_from_hub.py @@ -0,0 +1,42 @@ +from argparse import ArgumentParser +from typing import Optional + +from datasets.commands import BaseDatasetsCLICommand +from datasets.hub import delete_from_hub + + +def _command_factory(args): + return DeleteFromHubCommand( + args.dataset_id, + args.config_name, + args.token, + args.revision, + ) + + +class DeleteFromHubCommand(BaseDatasetsCLICommand): + @staticmethod + def register_subcommand(parser): + parser: ArgumentParser = parser.add_parser("delete_from_hub", help="Delete dataset config from the Hub") + parser.add_argument( + "dataset_id", help="source dataset ID, e.g. USERNAME/DATASET_NAME or ORGANIZATION/DATASET_NAME" + ) + parser.add_argument("config_name", help="config name to delete") + parser.add_argument("--token", help="access token to the Hugging Face Hub") + parser.add_argument("--revision", help="source revision") + parser.set_defaults(func=_command_factory) + + def __init__( + self, + dataset_id: str, + config_name: str, + token: Optional[str], + revision: Optional[str], + ): + self._dataset_id = dataset_id + self._config_name = config_name + self._token = token + self._revision = revision + + def run(self) -> None: + _ = delete_from_hub(self._dataset_id, self._config_name, revision=self._revision, token=self._token) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/env.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/env.py new file mode 100644 index 0000000000000000000000000000000000000000..40b2a3654c8f1c6c080222a80b12d108972a5dc9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/env.py @@ -0,0 +1,41 @@ +import platform +from argparse import ArgumentParser + +import fsspec +import huggingface_hub +import pandas +import pyarrow + +from datasets import __version__ as version +from datasets.commands import BaseDatasetsCLICommand + + +def info_command_factory(_): + return EnvironmentCommand() + + +class EnvironmentCommand(BaseDatasetsCLICommand): + @staticmethod + def register_subcommand(parser: ArgumentParser): + download_parser = parser.add_parser("env", help="Print relevant system environment info.") + download_parser.set_defaults(func=info_command_factory) + + def run(self): + info = { + "`datasets` version": version, + "Platform": platform.platform(), + "Python version": platform.python_version(), + "`huggingface_hub` version": huggingface_hub.__version__, + "PyArrow version": pyarrow.__version__, + "Pandas version": pandas.__version__, + "`fsspec` version": fsspec.__version__, + } + + print("\nCopy-and-paste the text below in your GitHub issue.\n") + print(self.format_dict(info)) + + return info + + @staticmethod + def format_dict(d): + return "\n".join([f"- {prop}: {val}" for prop, val in d.items()]) + "\n" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/test.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/test.py new file mode 100644 index 0000000000000000000000000000000000000000..3789873708e74c6202f24cb566bb9e9eaea7ceed --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/commands/test.py @@ -0,0 +1,207 @@ +import logging +import os +from argparse import ArgumentParser +from collections.abc import Generator +from pathlib import Path +from shutil import copyfile, rmtree +from typing import Optional + +import datasets.config +from datasets.builder import DatasetBuilder +from datasets.commands import BaseDatasetsCLICommand +from datasets.download.download_manager import DownloadMode +from datasets.load import dataset_module_factory, import_main_class +from datasets.utils.info_utils import VerificationMode +from datasets.utils.logging import ERROR, get_logger + + +logger = get_logger(__name__) + + +def _test_command_factory(args): + return TestCommand( + args.dataset, + args.name, + args.cache_dir, + args.data_dir, + args.all_configs, + args.save_info or args.save_infos, + args.ignore_verifications, + args.force_redownload, + args.clear_cache, + args.num_proc, + args.trust_remote_code, + ) + + +class TestCommand(BaseDatasetsCLICommand): + __test__ = False # to tell pytest it's not a test class + + @staticmethod + def register_subcommand(parser: ArgumentParser): + test_parser = parser.add_parser("test", help="Test dataset implementation.") + test_parser.add_argument("--name", type=str, default=None, help="Dataset processing name") + test_parser.add_argument( + "--cache_dir", + type=str, + default=None, + help="Cache directory where the datasets are stored.", + ) + test_parser.add_argument( + "--data_dir", + type=str, + default=None, + help="Can be used to specify a manual directory to get the files from.", + ) + test_parser.add_argument("--all_configs", action="store_true", help="Test all dataset configurations") + test_parser.add_argument( + "--save_info", action="store_true", help="Save the dataset infos in the dataset card (README.md)" + ) + test_parser.add_argument( + "--ignore_verifications", + action="store_true", + help="Run the test without checksums and splits checks.", + ) + test_parser.add_argument("--force_redownload", action="store_true", help="Force dataset redownload") + test_parser.add_argument( + "--clear_cache", + action="store_true", + help="Remove downloaded files and cached datasets after each config test", + ) + test_parser.add_argument("--num_proc", type=int, default=None, help="Number of processes") + test_parser.add_argument( + "--trust_remote_code", action="store_true", help="whether to trust the code execution of the load script" + ) + # aliases + test_parser.add_argument("--save_infos", action="store_true", help="alias to save_info") + test_parser.add_argument("dataset", type=str, help="Name of the dataset to download") + test_parser.set_defaults(func=_test_command_factory) + + def __init__( + self, + dataset: str, + name: str, + cache_dir: str, + data_dir: str, + all_configs: bool, + save_infos: bool, + ignore_verifications: bool, + force_redownload: bool, + clear_cache: bool, + num_proc: int, + trust_remote_code: Optional[bool], + ): + self._dataset = dataset + self._name = name + self._cache_dir = cache_dir + self._data_dir = data_dir + self._all_configs = all_configs + self._save_infos = save_infos + self._ignore_verifications = ignore_verifications + self._force_redownload = force_redownload + self._clear_cache = clear_cache + self._num_proc = num_proc + self._trust_remote_code = trust_remote_code + if clear_cache and not cache_dir: + print( + "When --clear_cache is used, specifying a cache directory is mandatory.\n" + "The 'download' folder of the cache directory and the dataset builder cache will be deleted after each configuration test.\n" + "Please provide a --cache_dir that will be used to test the dataset script." + ) + exit(1) + if save_infos: + self._ignore_verifications = True + + def run(self): + logging.getLogger("filelock").setLevel(ERROR) + if self._name is not None and self._all_configs: + print("Both parameters `config` and `all_configs` can't be used at once.") + exit(1) + path, config_name = self._dataset, self._name + module = dataset_module_factory(path, trust_remote_code=self._trust_remote_code) + builder_cls = import_main_class(module.module_path) + n_builders = len(builder_cls.BUILDER_CONFIGS) if self._all_configs and builder_cls.BUILDER_CONFIGS else 1 + + def get_builders() -> Generator[DatasetBuilder, None, None]: + if self._all_configs and builder_cls.BUILDER_CONFIGS: + for i, config in enumerate(builder_cls.BUILDER_CONFIGS): + if "config_name" in module.builder_kwargs: + yield builder_cls( + cache_dir=self._cache_dir, + data_dir=self._data_dir, + **module.builder_kwargs, + ) + else: + yield builder_cls( + config_name=config.name, + cache_dir=self._cache_dir, + data_dir=self._data_dir, + **module.builder_kwargs, + ) + else: + if "config_name" in module.builder_kwargs: + yield builder_cls(cache_dir=self._cache_dir, data_dir=self._data_dir, **module.builder_kwargs) + else: + yield builder_cls( + config_name=config_name, + cache_dir=self._cache_dir, + data_dir=self._data_dir, + **module.builder_kwargs, + ) + + for j, builder in enumerate(get_builders()): + print(f"Testing builder '{builder.config.name}' ({j + 1}/{n_builders})") + builder._record_infos = os.path.exists( + os.path.join(builder.get_imported_module_dir(), datasets.config.DATASETDICT_INFOS_FILENAME) + ) # record checksums only if we need to update a (deprecated) dataset_infos.json + builder.download_and_prepare( + download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS + if not self._force_redownload + else DownloadMode.FORCE_REDOWNLOAD, + verification_mode=VerificationMode.NO_CHECKS + if self._ignore_verifications + else VerificationMode.ALL_CHECKS, + num_proc=self._num_proc, + ) + builder.as_dataset() + if self._save_infos: + builder._save_infos() + + # If save_infos=True, the dataset card (README.md) is created next to the loaded module file. + # The dataset_infos are saved in the YAML part of the README.md + + # Let's move it to the original directory of the dataset script, to allow the user to + # upload them on S3 at the same time afterwards. + if self._save_infos: + dataset_readme_path = os.path.join( + builder_cls.get_imported_module_dir(), datasets.config.REPOCARD_FILENAME + ) + name = Path(path).name + ".py" + combined_path = os.path.join(path, name) + if os.path.isfile(path): + dataset_dir = os.path.dirname(path) + elif os.path.isfile(combined_path): + dataset_dir = path + elif os.path.isdir(path): # for local directories containing only data files + dataset_dir = path + else: # in case of a remote dataset + dataset_dir = None + print(f"Dataset card saved at {dataset_readme_path}") + + # Move dataset_info back to the user + if dataset_dir is not None: + user_dataset_readme_path = os.path.join(dataset_dir, datasets.config.REPOCARD_FILENAME) + copyfile(dataset_readme_path, user_dataset_readme_path) + print(f"Dataset card saved at {user_dataset_readme_path}") + + # If clear_cache=True, the download folder and the dataset builder cache directory are deleted + if self._clear_cache: + if os.path.isdir(builder._cache_dir): + logger.warning(f"Clearing cache at {builder._cache_dir}") + rmtree(builder._cache_dir) + download_dir = os.path.join(self._cache_dir, datasets.config.DOWNLOADED_DATASETS_DIR) + if os.path.isdir(download_dir): + logger.warning(f"Clearing cache at {download_dir}") + rmtree(download_dir) + + print("Test successful.") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/config.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/config.py new file mode 100644 index 0000000000000000000000000000000000000000..326db94da68758589f15cc2efe89db273801c531 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/config.py @@ -0,0 +1,269 @@ +import importlib +import importlib.metadata +import logging +import os +import platform +from pathlib import Path +from typing import Optional + +from huggingface_hub import constants +from packaging import version + + +logger = logging.getLogger(__name__.split(".", 1)[0]) # to avoid circular import from .utils.logging + +# Datasets +S3_DATASETS_BUCKET_PREFIX = "https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets" +CLOUDFRONT_DATASETS_DISTRIB_PREFIX = "https://cdn-datasets.huggingface.co/datasets/datasets" +REPO_DATASETS_URL = "https://raw.githubusercontent.com/huggingface/datasets/{revision}/datasets/{path}/{name}" + +# Hub +HF_ENDPOINT = os.environ.get("HF_ENDPOINT", "https://huggingface.co") +HUB_DATASETS_URL = HF_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}" +HUB_DATASETS_HFFS_URL = "hf://datasets/{repo_id}@{revision}/{path}" +HUB_DEFAULT_VERSION = "main" + +PY_VERSION = version.parse(platform.python_version()) + +# General environment variables accepted values for booleans +ENV_VARS_TRUE_VALUES = {"1", "ON", "YES", "TRUE"} +ENV_VARS_FALSE_VALUES = {"0", "OFF", "NO", "FALSE"} +ENV_VARS_TRUE_AND_AUTO_VALUES = ENV_VARS_TRUE_VALUES.union({"AUTO"}) +ENV_VARS_FALSE_AND_AUTO_VALUES = ENV_VARS_FALSE_VALUES.union({"AUTO"}) + + +# Imports +DILL_VERSION = version.parse(importlib.metadata.version("dill")) +FSSPEC_VERSION = version.parse(importlib.metadata.version("fsspec")) +PANDAS_VERSION = version.parse(importlib.metadata.version("pandas")) +PYARROW_VERSION = version.parse(importlib.metadata.version("pyarrow")) +HF_HUB_VERSION = version.parse(importlib.metadata.version("huggingface_hub")) + +USE_TF = os.environ.get("USE_TF", "AUTO").upper() +USE_TORCH = os.environ.get("USE_TORCH", "AUTO").upper() +USE_JAX = os.environ.get("USE_JAX", "AUTO").upper() + +TORCH_VERSION = "N/A" +TORCH_AVAILABLE = False + +if USE_TORCH in ENV_VARS_TRUE_AND_AUTO_VALUES and USE_TF not in ENV_VARS_TRUE_VALUES: + TORCH_AVAILABLE = importlib.util.find_spec("torch") is not None + if TORCH_AVAILABLE: + try: + TORCH_VERSION = version.parse(importlib.metadata.version("torch")) + logger.info(f"PyTorch version {TORCH_VERSION} available.") + except importlib.metadata.PackageNotFoundError: + pass +else: + logger.info("Disabling PyTorch because USE_TF is set") + +POLARS_VERSION = "N/A" +POLARS_AVAILABLE = importlib.util.find_spec("polars") is not None + +if POLARS_AVAILABLE: + try: + POLARS_VERSION = version.parse(importlib.metadata.version("polars")) + logger.info(f"Polars version {POLARS_VERSION} available.") + except importlib.metadata.PackageNotFoundError: + pass + + +DUCKDB_VERSION = "N/A" +DUCKDB_AVAILABLE = importlib.util.find_spec("duckdb") is not None + +if DUCKDB_AVAILABLE: + try: + DUCKDB_VERSION = version.parse(importlib.metadata.version("duckdb")) + logger.info(f"Duckdb version {DUCKDB_VERSION} available.") + except importlib.metadata.PackageNotFoundError: + pass + +TF_VERSION = "N/A" +TF_AVAILABLE = False + +if USE_TF in ENV_VARS_TRUE_AND_AUTO_VALUES and USE_TORCH not in ENV_VARS_TRUE_VALUES: + TF_AVAILABLE = importlib.util.find_spec("tensorflow") is not None + if TF_AVAILABLE: + # For the metadata, we have to look for both tensorflow and tensorflow-cpu + for package in [ + "tensorflow", + "tensorflow-cpu", + "tensorflow-gpu", + "tf-nightly", + "tf-nightly-cpu", + "tf-nightly-gpu", + "intel-tensorflow", + "tensorflow-rocm", + "tensorflow-macos", + ]: + try: + TF_VERSION = version.parse(importlib.metadata.version(package)) + except importlib.metadata.PackageNotFoundError: + continue + else: + break + else: + TF_AVAILABLE = False + if TF_AVAILABLE: + if TF_VERSION.major < 2: + logger.info(f"TensorFlow found but with version {TF_VERSION}. `datasets` requires version 2 minimum.") + TF_AVAILABLE = False + else: + logger.info(f"TensorFlow version {TF_VERSION} available.") +else: + logger.info("Disabling Tensorflow because USE_TORCH is set") + + +JAX_VERSION = "N/A" +JAX_AVAILABLE = False + +if USE_JAX in ENV_VARS_TRUE_AND_AUTO_VALUES: + JAX_AVAILABLE = importlib.util.find_spec("jax") is not None and importlib.util.find_spec("jaxlib") is not None + if JAX_AVAILABLE: + try: + JAX_VERSION = version.parse(importlib.metadata.version("jax")) + logger.info(f"JAX version {JAX_VERSION} available.") + except importlib.metadata.PackageNotFoundError: + pass +else: + logger.info("Disabling JAX because USE_JAX is set to False") + + +# Optional tools for data loading +SQLALCHEMY_AVAILABLE = importlib.util.find_spec("sqlalchemy") is not None + +# Optional tools for feature decoding +PIL_AVAILABLE = importlib.util.find_spec("PIL") is not None +IS_OPUS_SUPPORTED = importlib.util.find_spec("soundfile") is not None and version.parse( + importlib.import_module("soundfile").__libsndfile_version__ +) >= version.parse("1.0.31") +IS_MP3_SUPPORTED = importlib.util.find_spec("soundfile") is not None and version.parse( + importlib.import_module("soundfile").__libsndfile_version__ +) >= version.parse("1.1.0") +TORCHVISION_AVAILABLE = importlib.util.find_spec("torchvision") is not None +PDFPLUMBER_AVAILABLE = importlib.util.find_spec("pdfplumber") is not None + +# Optional compression tools +RARFILE_AVAILABLE = importlib.util.find_spec("rarfile") is not None +ZSTANDARD_AVAILABLE = importlib.util.find_spec("zstandard") is not None +LZ4_AVAILABLE = importlib.util.find_spec("lz4") is not None +PY7ZR_AVAILABLE = importlib.util.find_spec("py7zr") is not None + +# Cache location +DEFAULT_XDG_CACHE_HOME = "~/.cache" +XDG_CACHE_HOME = os.getenv("XDG_CACHE_HOME", DEFAULT_XDG_CACHE_HOME) +DEFAULT_HF_CACHE_HOME = os.path.join(XDG_CACHE_HOME, "huggingface") +HF_CACHE_HOME = os.path.expanduser(os.getenv("HF_HOME", DEFAULT_HF_CACHE_HOME)) + +DEFAULT_HF_DATASETS_CACHE = os.path.join(HF_CACHE_HOME, "datasets") +HF_DATASETS_CACHE = Path(os.getenv("HF_DATASETS_CACHE", DEFAULT_HF_DATASETS_CACHE)) + +DEFAULT_HF_MODULES_CACHE = os.path.join(HF_CACHE_HOME, "modules") +HF_MODULES_CACHE = Path(os.getenv("HF_MODULES_CACHE", DEFAULT_HF_MODULES_CACHE)) + +DOWNLOADED_DATASETS_DIR = "downloads" +DEFAULT_DOWNLOADED_DATASETS_PATH = os.path.join(HF_DATASETS_CACHE, DOWNLOADED_DATASETS_DIR) +DOWNLOADED_DATASETS_PATH = Path(os.getenv("HF_DATASETS_DOWNLOADED_DATASETS_PATH", DEFAULT_DOWNLOADED_DATASETS_PATH)) + +EXTRACTED_DATASETS_DIR = "extracted" +DEFAULT_EXTRACTED_DATASETS_PATH = os.path.join(DEFAULT_DOWNLOADED_DATASETS_PATH, EXTRACTED_DATASETS_DIR) +EXTRACTED_DATASETS_PATH = Path(os.getenv("HF_DATASETS_EXTRACTED_DATASETS_PATH", DEFAULT_EXTRACTED_DATASETS_PATH)) + +# Download count for the website +HF_UPDATE_DOWNLOAD_COUNTS = ( + os.environ.get("HF_UPDATE_DOWNLOAD_COUNTS", "AUTO").upper() in ENV_VARS_TRUE_AND_AUTO_VALUES +) + +# For downloads and to check remote files metadata +HF_DATASETS_MULTITHREADING_MAX_WORKERS = 16 + +# Remote dataset scripts support +__HF_DATASETS_TRUST_REMOTE_CODE = os.environ.get("HF_DATASETS_TRUST_REMOTE_CODE", "ask") +HF_DATASETS_TRUST_REMOTE_CODE: Optional[bool] = ( + True + if __HF_DATASETS_TRUST_REMOTE_CODE.upper() in ENV_VARS_TRUE_VALUES + else False + if __HF_DATASETS_TRUST_REMOTE_CODE.upper() in ENV_VARS_FALSE_VALUES + else None +) +TIME_OUT_REMOTE_CODE = 15 + +# Dataset viewer API +USE_PARQUET_EXPORT = True + +# Batch size constants. For more info, see: +# https://github.com/apache/arrow/blob/master/docs/source/cpp/arrays.rst#size-limitations-and-recommendations) +DEFAULT_MAX_BATCH_SIZE = 1000 + +# Size of the preloaded record batch in `Dataset.__iter__` +ARROW_READER_BATCH_SIZE_IN_DATASET_ITER = 10 + +# Max shard size in bytes (e.g. to shard parquet datasets in push_to_hub or download_and_prepare) +MAX_SHARD_SIZE = "500MB" + +# Parquet configuration +PARQUET_ROW_GROUP_SIZE_FOR_AUDIO_DATASETS = 100 +PARQUET_ROW_GROUP_SIZE_FOR_IMAGE_DATASETS = 100 +PARQUET_ROW_GROUP_SIZE_FOR_BINARY_DATASETS = 100 +PARQUET_ROW_GROUP_SIZE_FOR_VIDEO_DATASETS = 10 + +# Offline mode +_offline = os.environ.get("HF_DATASETS_OFFLINE") +HF_HUB_OFFLINE = constants.HF_HUB_OFFLINE if _offline is None else _offline.upper() in ENV_VARS_TRUE_VALUES +HF_DATASETS_OFFLINE = HF_HUB_OFFLINE # kept for backward-compatibility + +# Here, `True` will disable progress bars globally without possibility of enabling it +# programmatically. `False` will enable them without possibility of disabling them. +# If environment variable is not set (None), then the user is free to enable/disable +# them programmatically. +# TL;DR: env variable has priority over code +__HF_DATASETS_DISABLE_PROGRESS_BARS = os.environ.get("HF_DATASETS_DISABLE_PROGRESS_BARS") +HF_DATASETS_DISABLE_PROGRESS_BARS: Optional[bool] = ( + __HF_DATASETS_DISABLE_PROGRESS_BARS.upper() in ENV_VARS_TRUE_VALUES + if __HF_DATASETS_DISABLE_PROGRESS_BARS is not None + else None +) + +# In-memory +DEFAULT_IN_MEMORY_MAX_SIZE = 0 # Disabled +IN_MEMORY_MAX_SIZE = float(os.environ.get("HF_DATASETS_IN_MEMORY_MAX_SIZE", DEFAULT_IN_MEMORY_MAX_SIZE)) + +# File names +DATASET_ARROW_FILENAME = "dataset.arrow" +DATASET_INDICES_FILENAME = "indices.arrow" +DATASET_STATE_JSON_FILENAME = "state.json" +DATASET_INFO_FILENAME = "dataset_info.json" +DATASETDICT_INFOS_FILENAME = "dataset_infos.json" +LICENSE_FILENAME = "LICENSE" +DATASETDICT_JSON_FILENAME = "dataset_dict.json" +METADATA_CONFIGS_FIELD = "configs" +REPOCARD_FILENAME = "README.md" +REPOYAML_FILENAME = ".huggingface.yaml" + +MODULE_NAME_FOR_DYNAMIC_MODULES = "datasets_modules" + +MAX_DATASET_CONFIG_ID_READABLE_LENGTH = 255 + +# Temporary cache directory prefix +TEMP_CACHE_DIR_PREFIX = "hf_datasets-" + +# Streaming +STREAMING_READ_MAX_RETRIES = 20 +STREAMING_READ_RETRY_INTERVAL = 5 + +# Datasets without script +DATA_FILES_MAX_NUMBER_FOR_MODULE_INFERENCE = 200 +GLOBBED_DATA_FILES_MAX_NUMBER_FOR_MODULE_INFERENCE = 10 +ARCHIVED_DATA_FILES_MAX_NUMBER_FOR_MODULE_INFERENCE = 200 + +# Async map functions +MAX_NUM_RUNNING_ASYNC_MAP_FUNCTIONS_IN_PARALLEL = 1000 + +# Progress bars +PBAR_REFRESH_TIME_INTERVAL = 0.05 # 20 progress updates per sec + +# Maximum number of uploaded files per commit +UPLOADS_MAX_NUMBER_PER_COMMIT = 50 + +# Backward compatibility +MAX_TABLE_NBYTES_FOR_PICKLING = 4 << 30 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/data_files.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/data_files.py new file mode 100644 index 0000000000000000000000000000000000000000..6c35a9a061e4f8d656446f225a347dc435578df8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/data_files.py @@ -0,0 +1,795 @@ +import os +import re +from functools import partial +from glob import has_magic +from pathlib import Path, PurePath +from typing import Callable, Optional, Union + +import huggingface_hub +from fsspec.core import url_to_fs +from huggingface_hub import HfFileSystem +from packaging import version +from tqdm.contrib.concurrent import thread_map + +from . import config +from .download import DownloadConfig +from .naming import _split_re +from .splits import Split +from .utils import logging +from .utils import tqdm as hf_tqdm +from .utils.file_utils import _prepare_path_and_storage_options, is_local_path, is_relative_path, xbasename, xjoin +from .utils.py_utils import glob_pattern_to_regex, string_to_dict + + +SingleOriginMetadata = Union[tuple[str, str], tuple[str], tuple[()]] + + +SANITIZED_DEFAULT_SPLIT = str(Split.TRAIN) + + +logger = logging.get_logger(__name__) + + +class Url(str): + pass + + +class EmptyDatasetError(FileNotFoundError): + pass + + +SPLIT_PATTERN_SHARDED = "data/{split}-[0-9][0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]*.*" + +SPLIT_KEYWORDS = { + Split.TRAIN: ["train", "training"], + Split.VALIDATION: ["validation", "valid", "dev", "val"], + Split.TEST: ["test", "testing", "eval", "evaluation"], +} +NON_WORDS_CHARS = "-._ 0-9" +if config.FSSPEC_VERSION < version.parse("2023.9.0"): + KEYWORDS_IN_FILENAME_BASE_PATTERNS = ["**[{sep}/]{keyword}[{sep}]*", "{keyword}[{sep}]*"] + KEYWORDS_IN_DIR_NAME_BASE_PATTERNS = [ + "{keyword}/**", + "{keyword}[{sep}]*/**", + "**[{sep}/]{keyword}/**", + "**[{sep}/]{keyword}[{sep}]*/**", + ] +elif config.FSSPEC_VERSION < version.parse("2023.12.0"): + KEYWORDS_IN_FILENAME_BASE_PATTERNS = ["**/*[{sep}/]{keyword}[{sep}]*", "{keyword}[{sep}]*"] + KEYWORDS_IN_DIR_NAME_BASE_PATTERNS = [ + "{keyword}/**/*", + "{keyword}[{sep}]*/**/*", + "**/*[{sep}/]{keyword}/**/*", + "**/*[{sep}/]{keyword}[{sep}]*/**/*", + ] +else: + KEYWORDS_IN_FILENAME_BASE_PATTERNS = ["**/{keyword}[{sep}]*", "**/*[{sep}]{keyword}[{sep}]*"] + KEYWORDS_IN_DIR_NAME_BASE_PATTERNS = [ + "**/{keyword}/**", + "**/{keyword}[{sep}]*/**", + "**/*[{sep}]{keyword}/**", + "**/*[{sep}]{keyword}[{sep}]*/**", + ] + +DEFAULT_SPLITS = [Split.TRAIN, Split.VALIDATION, Split.TEST] +DEFAULT_PATTERNS_SPLIT_IN_FILENAME = { + split: [ + pattern.format(keyword=keyword, sep=NON_WORDS_CHARS) + for keyword in SPLIT_KEYWORDS[split] + for pattern in KEYWORDS_IN_FILENAME_BASE_PATTERNS + ] + for split in DEFAULT_SPLITS +} +DEFAULT_PATTERNS_SPLIT_IN_DIR_NAME = { + split: [ + pattern.format(keyword=keyword, sep=NON_WORDS_CHARS) + for keyword in SPLIT_KEYWORDS[split] + for pattern in KEYWORDS_IN_DIR_NAME_BASE_PATTERNS + ] + for split in DEFAULT_SPLITS +} + + +DEFAULT_PATTERNS_ALL = { + Split.TRAIN: ["**"], +} + +ALL_SPLIT_PATTERNS = [SPLIT_PATTERN_SHARDED] +ALL_DEFAULT_PATTERNS = [ + DEFAULT_PATTERNS_SPLIT_IN_DIR_NAME, + DEFAULT_PATTERNS_SPLIT_IN_FILENAME, + DEFAULT_PATTERNS_ALL, +] +WILDCARD_CHARACTERS = "*[]" +FILES_TO_IGNORE = [ + "README.md", + "config.json", + "dataset_info.json", + "dataset_infos.json", + "dummy_data.zip", + "dataset_dict.json", +] + + +def contains_wildcards(pattern: str) -> bool: + return any(wildcard_character in pattern for wildcard_character in WILDCARD_CHARACTERS) + + +def sanitize_patterns(patterns: Union[dict, list, str]) -> dict[str, Union[list[str], "DataFilesList"]]: + """ + Take the data_files patterns from the user, and format them into a dictionary. + Each key is the name of the split, and each value is a list of data files patterns (paths or urls). + The default split is "train". + + Returns: + patterns: dictionary of split_name -> list of patterns + """ + if isinstance(patterns, dict): + return {str(key): value if isinstance(value, list) else [value] for key, value in patterns.items()} + elif isinstance(patterns, str): + return {SANITIZED_DEFAULT_SPLIT: [patterns]} + elif isinstance(patterns, list): + if any(isinstance(pattern, dict) for pattern in patterns): + for pattern in patterns: + if not ( + isinstance(pattern, dict) + and len(pattern) == 2 + and "split" in pattern + and isinstance(pattern.get("path"), (str, list)) + ): + raise ValueError( + f"Expected each split to have a 'path' key which can be a string or a list of strings, but got {pattern}" + ) + splits = [pattern["split"] for pattern in patterns] + if len(set(splits)) != len(splits): + raise ValueError(f"Some splits are duplicated in data_files: {splits}") + return { + str(pattern["split"]): pattern["path"] if isinstance(pattern["path"], list) else [pattern["path"]] + for pattern in patterns + } + else: + return {SANITIZED_DEFAULT_SPLIT: patterns} + else: + return sanitize_patterns(list(patterns)) + + +def _is_inside_unrequested_special_dir(matched_rel_path: str, pattern: str) -> bool: + """ + When a path matches a pattern, we additionally check if it's inside a special directory + we ignore by default (if it starts with a double underscore). + + Users can still explicitly request a filepath inside such a directory if "__pycache__" is + mentioned explicitly in the requested pattern. + + Some examples: + + base directory: + + ./ + └── __pycache__ + └── b.txt + + >>> _is_inside_unrequested_special_dir("__pycache__/b.txt", "**") + True + >>> _is_inside_unrequested_special_dir("__pycache__/b.txt", "*/b.txt") + True + >>> _is_inside_unrequested_special_dir("__pycache__/b.txt", "__pycache__/*") + False + >>> _is_inside_unrequested_special_dir("__pycache__/b.txt", "__*/*") + False + """ + # We just need to check if every special directories from the path is present explicitly in the pattern. + # Since we assume that the path matches the pattern, it's equivalent to counting that both + # the parent path and the parent pattern have the same number of special directories. + data_dirs_to_ignore_in_path = [part for part in PurePath(matched_rel_path).parent.parts if part.startswith("__")] + data_dirs_to_ignore_in_pattern = [part for part in PurePath(pattern).parent.parts if part.startswith("__")] + return len(data_dirs_to_ignore_in_path) != len(data_dirs_to_ignore_in_pattern) + + +def _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(matched_rel_path: str, pattern: str) -> bool: + """ + When a path matches a pattern, we additionally check if it's a hidden file or if it's inside + a hidden directory we ignore by default, i.e. if the file name or a parent directory name starts with a dot. + + Users can still explicitly request a filepath that is hidden or is inside a hidden directory + if the hidden part is mentioned explicitly in the requested pattern. + + Some examples: + + base directory: + + ./ + └── .hidden_file.txt + + >>> _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(".hidden_file.txt", "**") + True + >>> _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(".hidden_file.txt", ".*") + False + + base directory: + + ./ + └── .hidden_dir + └── a.txt + + >>> _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(".hidden_dir/a.txt", "**") + True + >>> _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(".hidden_dir/a.txt", ".*/*") + False + >>> _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(".hidden_dir/a.txt", ".hidden_dir/*") + False + + base directory: + + ./ + └── .hidden_dir + └── .hidden_file.txt + + >>> _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(".hidden_dir/.hidden_file.txt", "**") + True + >>> _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(".hidden_dir/.hidden_file.txt", ".*/*") + True + >>> _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(".hidden_dir/.hidden_file.txt", ".*/.*") + False + >>> _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(".hidden_dir/.hidden_file.txt", ".hidden_dir/*") + True + >>> _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(".hidden_dir/.hidden_file.txt", ".hidden_dir/.*") + False + """ + # We just need to check if every hidden part from the path is present explicitly in the pattern. + # Since we assume that the path matches the pattern, it's equivalent to counting that both + # the path and the pattern have the same number of hidden parts. + hidden_directories_in_path = [ + part for part in PurePath(matched_rel_path).parts if part.startswith(".") and not set(part) == {"."} + ] + hidden_directories_in_pattern = [ + part for part in PurePath(pattern).parts if part.startswith(".") and not set(part) == {"."} + ] + return len(hidden_directories_in_path) != len(hidden_directories_in_pattern) + + +def _get_data_files_patterns(pattern_resolver: Callable[[str], list[str]]) -> dict[str, list[str]]: + """ + Get the default pattern from a directory or repository by testing all the supported patterns. + The first patterns to return a non-empty list of data files is returned. + + In order, it first tests if SPLIT_PATTERN_SHARDED works, otherwise it tests the patterns in ALL_DEFAULT_PATTERNS. + """ + # first check the split patterns like data/{split}-00000-of-00001.parquet + for split_pattern in ALL_SPLIT_PATTERNS: + pattern = split_pattern.replace("{split}", "*") + try: + data_files = pattern_resolver(pattern) + except FileNotFoundError: + continue + if len(data_files) > 0: + splits: set[str] = set() + for p in data_files: + p_parts = string_to_dict(xbasename(p), glob_pattern_to_regex(xbasename(split_pattern))) + assert p_parts is not None + splits.add(p_parts["split"]) + + if any(not re.match(_split_re, split) for split in splits): + raise ValueError(f"Split name should match '{_split_re}'' but got '{splits}'.") + sorted_splits = [str(split) for split in DEFAULT_SPLITS if split in splits] + sorted( + splits - {str(split) for split in DEFAULT_SPLITS} + ) + return {split: [split_pattern.format(split=split)] for split in sorted_splits} + # then check the default patterns based on train/valid/test splits + for patterns_dict in ALL_DEFAULT_PATTERNS: + non_empty_splits = [] + for split, patterns in patterns_dict.items(): + for pattern in patterns: + try: + data_files = pattern_resolver(pattern) + except FileNotFoundError: + continue + if len(data_files) > 0: + non_empty_splits.append(split) + break + if non_empty_splits: + return {split: patterns_dict[split] for split in non_empty_splits} + raise FileNotFoundError(f"Couldn't resolve pattern {pattern} with resolver {pattern_resolver}") + + +def resolve_pattern( + pattern: str, + base_path: str, + allowed_extensions: Optional[list[str]] = None, + download_config: Optional[DownloadConfig] = None, +) -> list[str]: + """ + Resolve the paths and URLs of the data files from the pattern passed by the user. + + You can use patterns to resolve multiple local files. Here are a few examples: + - *.csv to match all the CSV files at the first level + - **.csv to match all the CSV files at any level + - data/* to match all the files inside "data" + - data/** to match all the files inside "data" and its subdirectories + + The patterns are resolved using the fsspec glob. In fsspec>=2023.12.0 this is equivalent to + Python's glob.glob, Path.glob, Path.match and fnmatch where ** is unsupported with a prefix/suffix + other than a forward slash /. + + More generally: + - '*' matches any character except a forward-slash (to match just the file or directory name) + - '**' matches any character including a forward-slash / + + Hidden files and directories (i.e. whose names start with a dot) are ignored, unless they are explicitly requested. + The same applies to special directories that start with a double underscore like "__pycache__". + You can still include one if the pattern explicitly mentions it: + - to include a hidden file: "*/.hidden.txt" or "*/.*" + - to include a hidden directory: ".hidden/*" or ".*/*" + - to include a special directory: "__special__/*" or "__*/*" + + Example:: + + >>> from datasets.data_files import resolve_pattern + >>> base_path = "." + >>> resolve_pattern("docs/**/*.py", base_path) + [/Users/mariosasko/Desktop/projects/datasets/docs/source/_config.py'] + + Args: + pattern (str): Unix pattern or paths or URLs of the data files to resolve. + The paths can be absolute or relative to base_path. + Remote filesystems using fsspec are supported, e.g. with the hf:// protocol. + base_path (str): Base path to use when resolving relative paths. + allowed_extensions (Optional[list], optional): White-list of file extensions to use. Defaults to None (all extensions). + For example: allowed_extensions=[".csv", ".json", ".txt", ".parquet"] + download_config ([`DownloadConfig`], *optional*): Specific download configuration parameters. + Returns: + List[str]: List of paths or URLs to the local or remote files that match the patterns. + """ + if is_relative_path(pattern): + pattern = xjoin(base_path, pattern) + elif is_local_path(pattern): + base_path = os.path.splitdrive(pattern)[0] + os.sep + else: + base_path = "" + pattern, storage_options = _prepare_path_and_storage_options(pattern, download_config=download_config) + fs, fs_pattern = url_to_fs(pattern, **storage_options) + files_to_ignore = set(FILES_TO_IGNORE) - {xbasename(pattern)} + protocol = fs.protocol if isinstance(fs.protocol, str) else fs.protocol[0] + protocol_prefix = protocol + "://" if protocol != "file" else "" + glob_kwargs = {} + if protocol == "hf" and config.HF_HUB_VERSION >= version.parse("0.20.0"): + # 10 times faster glob with detail=True (ignores costly info like lastCommit) + glob_kwargs["expand_info"] = False + matched_paths = [ + filepath if filepath.startswith(protocol_prefix) else protocol_prefix + filepath + for filepath, info in fs.glob(pattern, detail=True, **glob_kwargs).items() + if (info["type"] == "file" or (info.get("islink") and os.path.isfile(os.path.realpath(filepath)))) + and (xbasename(filepath) not in files_to_ignore) + and not _is_inside_unrequested_special_dir(filepath, fs_pattern) + and not _is_unrequested_hidden_file_or_is_inside_unrequested_hidden_dir(filepath, fs_pattern) + ] # ignore .ipynb and __pycache__, but keep /../ + if allowed_extensions is not None: + out = [ + filepath + for filepath in matched_paths + if any("." + suffix in allowed_extensions for suffix in xbasename(filepath).split(".")[1:]) + ] + if len(out) < len(matched_paths): + invalid_matched_files = list(set(matched_paths) - set(out)) + logger.info( + f"Some files matched the pattern '{pattern}' but don't have valid data file extensions: {invalid_matched_files}" + ) + else: + out = matched_paths + if not out: + error_msg = f"Unable to find '{pattern}'" + if allowed_extensions is not None: + error_msg += f" with any supported extension {list(allowed_extensions)}" + raise FileNotFoundError(error_msg) + return out + + +def get_data_patterns(base_path: str, download_config: Optional[DownloadConfig] = None) -> dict[str, list[str]]: + """ + Get the default pattern from a directory testing all the supported patterns. + The first patterns to return a non-empty list of data files is returned. + + Some examples of supported patterns: + + Input: + + my_dataset_repository/ + ├── README.md + └── dataset.csv + + Output: + + {'train': ['**']} + + Input: + + my_dataset_repository/ + ├── README.md + ├── train.csv + └── test.csv + + my_dataset_repository/ + ├── README.md + └── data/ + ├── train.csv + └── test.csv + + my_dataset_repository/ + ├── README.md + ├── train_0.csv + ├── train_1.csv + ├── train_2.csv + ├── train_3.csv + ├── test_0.csv + └── test_1.csv + + Output: + + {'train': ['**/train[-._ 0-9]*', '**/*[-._ 0-9]train[-._ 0-9]*', '**/training[-._ 0-9]*', '**/*[-._ 0-9]training[-._ 0-9]*'], + 'test': ['**/test[-._ 0-9]*', '**/*[-._ 0-9]test[-._ 0-9]*', '**/testing[-._ 0-9]*', '**/*[-._ 0-9]testing[-._ 0-9]*', ...]} + + Input: + + my_dataset_repository/ + ├── README.md + └── data/ + ├── train/ + │ ├── shard_0.csv + │ ├── shard_1.csv + │ ├── shard_2.csv + │ └── shard_3.csv + └── test/ + ├── shard_0.csv + └── shard_1.csv + + Output: + + {'train': ['**/train/**', '**/train[-._ 0-9]*/**', '**/*[-._ 0-9]train/**', '**/*[-._ 0-9]train[-._ 0-9]*/**', ...], + 'test': ['**/test/**', '**/test[-._ 0-9]*/**', '**/*[-._ 0-9]test/**', '**/*[-._ 0-9]test[-._ 0-9]*/**', ...]} + + Input: + + my_dataset_repository/ + ├── README.md + └── data/ + ├── train-00000-of-00003.csv + ├── train-00001-of-00003.csv + ├── train-00002-of-00003.csv + ├── test-00000-of-00001.csv + ├── random-00000-of-00003.csv + ├── random-00001-of-00003.csv + └── random-00002-of-00003.csv + + Output: + + {'train': ['data/train-[0-9][0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]*.*'], + 'test': ['data/test-[0-9][0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]*.*'], + 'random': ['data/random-[0-9][0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]*.*']} + + In order, it first tests if SPLIT_PATTERN_SHARDED works, otherwise it tests the patterns in ALL_DEFAULT_PATTERNS. + """ + resolver = partial(resolve_pattern, base_path=base_path, download_config=download_config) + try: + return _get_data_files_patterns(resolver) + except FileNotFoundError: + raise EmptyDatasetError(f"The directory at {base_path} doesn't contain any data files") from None + + +def _get_single_origin_metadata( + data_file: str, + download_config: Optional[DownloadConfig] = None, +) -> SingleOriginMetadata: + data_file, storage_options = _prepare_path_and_storage_options(data_file, download_config=download_config) + fs, *_ = url_to_fs(data_file, **storage_options) + if isinstance(fs, HfFileSystem): + resolved_path = fs.resolve_path(data_file) + return resolved_path.repo_id, resolved_path.revision + elif data_file.startswith(config.HF_ENDPOINT): + hffs = HfFileSystem(endpoint=config.HF_ENDPOINT, token=download_config.token) + data_file = "hf://" + data_file[len(config.HF_ENDPOINT) + 1 :].replace("/resolve/", "@", 1) + resolved_path = hffs.resolve_path(data_file) + return resolved_path.repo_id, resolved_path.revision + info = fs.info(data_file) + # s3fs uses "ETag", gcsfs uses "etag", and for local we simply check mtime + for key in ["ETag", "etag", "mtime"]: + if key in info: + return (str(info[key]),) + return () + + +def _get_origin_metadata( + data_files: list[str], + download_config: Optional[DownloadConfig] = None, + max_workers: Optional[int] = None, +) -> list[SingleOriginMetadata]: + max_workers = max_workers if max_workers is not None else config.HF_DATASETS_MULTITHREADING_MAX_WORKERS + return thread_map( + partial(_get_single_origin_metadata, download_config=download_config), + data_files, + max_workers=max_workers, + tqdm_class=hf_tqdm, + desc="Resolving data files", + # set `disable=None` rather than `disable=False` by default to disable progress bar when no TTY attached + disable=len(data_files) <= 16 or None, + ) + + +class DataFilesList(list[str]): + """ + List of data files (absolute local paths or URLs). + It has two construction methods given the user's data files patterns: + - ``from_hf_repo``: resolve patterns inside a dataset repository + - ``from_local_or_remote``: resolve patterns from a local path + + Moreover, DataFilesList has an additional attribute ``origin_metadata``. + It can store: + - the last modified time of local files + - ETag of remote files + - commit sha of a dataset repository + + Thanks to this additional attribute, it is possible to hash the list + and get a different hash if and only if at least one file changed. + This is useful for caching Dataset objects that are obtained from a list of data files. + """ + + def __init__(self, data_files: list[str], origin_metadata: list[SingleOriginMetadata]) -> None: + super().__init__(data_files) + self.origin_metadata = origin_metadata + + def __add__(self, other: "DataFilesList") -> "DataFilesList": + return DataFilesList([*self, *other], self.origin_metadata + other.origin_metadata) + + @classmethod + def from_hf_repo( + cls, + patterns: list[str], + dataset_info: huggingface_hub.hf_api.DatasetInfo, + base_path: Optional[str] = None, + allowed_extensions: Optional[list[str]] = None, + download_config: Optional[DownloadConfig] = None, + ) -> "DataFilesList": + base_path = f"hf://datasets/{dataset_info.id}@{dataset_info.sha}/{base_path or ''}".rstrip("/") + return cls.from_patterns( + patterns, base_path=base_path, allowed_extensions=allowed_extensions, download_config=download_config + ) + + @classmethod + def from_local_or_remote( + cls, + patterns: list[str], + base_path: Optional[str] = None, + allowed_extensions: Optional[list[str]] = None, + download_config: Optional[DownloadConfig] = None, + ) -> "DataFilesList": + base_path = base_path if base_path is not None else Path().resolve().as_posix() + return cls.from_patterns( + patterns, base_path=base_path, allowed_extensions=allowed_extensions, download_config=download_config + ) + + @classmethod + def from_patterns( + cls, + patterns: list[str], + base_path: Optional[str] = None, + allowed_extensions: Optional[list[str]] = None, + download_config: Optional[DownloadConfig] = None, + ) -> "DataFilesList": + base_path = base_path if base_path is not None else Path().resolve().as_posix() + data_files = [] + for pattern in patterns: + try: + data_files.extend( + resolve_pattern( + pattern, + base_path=base_path, + allowed_extensions=allowed_extensions, + download_config=download_config, + ) + ) + except FileNotFoundError: + if not has_magic(pattern): + raise + origin_metadata = _get_origin_metadata(data_files, download_config=download_config) + return cls(data_files, origin_metadata) + + def filter( + self, *, extensions: Optional[list[str]] = None, file_names: Optional[list[str]] = None + ) -> "DataFilesList": + patterns = [] + if extensions: + ext_pattern = "|".join(re.escape(ext) for ext in extensions) + patterns.append(re.compile(f".*({ext_pattern})(\\..+)?$")) + if file_names: + fn_pattern = "|".join(re.escape(fn) for fn in file_names) + patterns.append(re.compile(rf".*[\/]?({fn_pattern})$")) + if patterns: + return DataFilesList( + [data_file for data_file in self if any(pattern.match(data_file) for pattern in patterns)], + origin_metadata=self.origin_metadata, + ) + else: + return DataFilesList(list(self), origin_metadata=self.origin_metadata) + + +class DataFilesDict(dict[str, DataFilesList]): + """ + Dict of split_name -> list of data files (absolute local paths or URLs). + It has two construction methods given the user's data files patterns : + - ``from_hf_repo``: resolve patterns inside a dataset repository + - ``from_local_or_remote``: resolve patterns from a local path + + Moreover, each list is a DataFilesList. It is possible to hash the dictionary + and get a different hash if and only if at least one file changed. + For more info, see [`DataFilesList`]. + + This is useful for caching Dataset objects that are obtained from a list of data files. + + Changing the order of the keys of this dictionary also doesn't change its hash. + """ + + @classmethod + def from_local_or_remote( + cls, + patterns: dict[str, Union[list[str], DataFilesList]], + base_path: Optional[str] = None, + allowed_extensions: Optional[list[str]] = None, + download_config: Optional[DownloadConfig] = None, + ) -> "DataFilesDict": + out = cls() + for key, patterns_for_key in patterns.items(): + out[key] = ( + patterns_for_key + if isinstance(patterns_for_key, DataFilesList) + else DataFilesList.from_local_or_remote( + patterns_for_key, + base_path=base_path, + allowed_extensions=allowed_extensions, + download_config=download_config, + ) + ) + return out + + @classmethod + def from_hf_repo( + cls, + patterns: dict[str, Union[list[str], DataFilesList]], + dataset_info: huggingface_hub.hf_api.DatasetInfo, + base_path: Optional[str] = None, + allowed_extensions: Optional[list[str]] = None, + download_config: Optional[DownloadConfig] = None, + ) -> "DataFilesDict": + out = cls() + for key, patterns_for_key in patterns.items(): + out[key] = ( + patterns_for_key + if isinstance(patterns_for_key, DataFilesList) + else DataFilesList.from_hf_repo( + patterns_for_key, + dataset_info=dataset_info, + base_path=base_path, + allowed_extensions=allowed_extensions, + download_config=download_config, + ) + ) + return out + + @classmethod + def from_patterns( + cls, + patterns: dict[str, Union[list[str], DataFilesList]], + base_path: Optional[str] = None, + allowed_extensions: Optional[list[str]] = None, + download_config: Optional[DownloadConfig] = None, + ) -> "DataFilesDict": + out = cls() + for key, patterns_for_key in patterns.items(): + out[key] = ( + patterns_for_key + if isinstance(patterns_for_key, DataFilesList) + else DataFilesList.from_patterns( + patterns_for_key, + base_path=base_path, + allowed_extensions=allowed_extensions, + download_config=download_config, + ) + ) + return out + + def filter( + self, *, extensions: Optional[list[str]] = None, file_names: Optional[list[str]] = None + ) -> "DataFilesDict": + out = type(self)() + for key, data_files_list in self.items(): + out[key] = data_files_list.filter(extensions=extensions, file_names=file_names) + return out + + +class DataFilesPatternsList(list[str]): + """ + List of data files patterns (absolute local paths or URLs). + For each pattern there should also be a list of allowed extensions + to keep, or a None ot keep all the files for the pattern. + """ + + def __init__( + self, + patterns: list[str], + allowed_extensions: list[Optional[list[str]]], + ): + super().__init__(patterns) + self.allowed_extensions = allowed_extensions + + def __add__(self, other): + return DataFilesList([*self, *other], self.allowed_extensions + other.allowed_extensions) + + @classmethod + def from_patterns( + cls, patterns: list[str], allowed_extensions: Optional[list[str]] = None + ) -> "DataFilesPatternsList": + return cls(patterns, [allowed_extensions] * len(patterns)) + + def resolve( + self, + base_path: str, + download_config: Optional[DownloadConfig] = None, + ) -> "DataFilesList": + base_path = base_path if base_path is not None else Path().resolve().as_posix() + data_files = [] + for pattern, allowed_extensions in zip(self, self.allowed_extensions): + try: + data_files.extend( + resolve_pattern( + pattern, + base_path=base_path, + allowed_extensions=allowed_extensions, + download_config=download_config, + ) + ) + except FileNotFoundError: + if not has_magic(pattern): + raise + origin_metadata = _get_origin_metadata(data_files, download_config=download_config) + return DataFilesList(data_files, origin_metadata) + + def filter_extensions(self, extensions: list[str]) -> "DataFilesPatternsList": + return DataFilesPatternsList( + self, [allowed_extensions + extensions for allowed_extensions in self.allowed_extensions] + ) + + +class DataFilesPatternsDict(dict[str, DataFilesPatternsList]): + """ + Dict of split_name -> list of data files patterns (absolute local paths or URLs). + """ + + @classmethod + def from_patterns( + cls, patterns: dict[str, list[str]], allowed_extensions: Optional[list[str]] = None + ) -> "DataFilesPatternsDict": + out = cls() + for key, patterns_for_key in patterns.items(): + out[key] = ( + patterns_for_key + if isinstance(patterns_for_key, DataFilesPatternsList) + else DataFilesPatternsList.from_patterns( + patterns_for_key, + allowed_extensions=allowed_extensions, + ) + ) + return out + + def resolve( + self, + base_path: str, + download_config: Optional[DownloadConfig] = None, + ) -> "DataFilesDict": + out = DataFilesDict() + for key, data_files_patterns_list in self.items(): + out[key] = data_files_patterns_list.resolve(base_path, download_config) + return out + + def filter_extensions(self, extensions: list[str]) -> "DataFilesPatternsDict": + out = type(self)() + for key, data_files_patterns_list in self.items(): + out[key] = data_files_patterns_list.filter_extensions(extensions) + return out diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/dataset_dict.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/dataset_dict.py new file mode 100644 index 0000000000000000000000000000000000000000..5e1946cf0f737983ae20b1625440a9edb38c0f4b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/dataset_dict.py @@ -0,0 +1,2369 @@ +import contextlib +import copy +import fnmatch +import json +import math +import posixpath +import re +from collections.abc import Sequence +from functools import partial +from pathlib import Path +from typing import Callable, Optional, Union + +import fsspec +import numpy as np +from fsspec.core import url_to_fs +from huggingface_hub import ( + CommitInfo, + CommitOperationAdd, + CommitOperationDelete, + DatasetCard, + DatasetCardData, + HfApi, +) +from huggingface_hub.hf_api import RepoFile + +from . import config +from .arrow_dataset import ( + PUSH_TO_HUB_WITHOUT_METADATA_CONFIGS_SPLIT_PATTERN_SHARDED, + Dataset, +) +from .features import Features +from .features.features import FeatureType +from .info import DatasetInfo, DatasetInfosDict +from .naming import _split_re +from .splits import NamedSplit, Split, SplitDict, SplitInfo +from .table import Table +from .utils import logging +from .utils.doc_utils import is_documented_by +from .utils.metadata import MetadataConfigs +from .utils.py_utils import asdict, glob_pattern_to_regex, string_to_dict +from .utils.typing import PathLike + + +logger = logging.get_logger(__name__) + + +class bind(partial): + def __call__(self, *fn_args, **fn_kwargs): + return self.func(*fn_args, *self.args, **fn_kwargs) + + +class DatasetDict(dict): + """A dictionary (dict of str: datasets.Dataset) with dataset transforms methods (map, filter, etc.)""" + + def _check_values_type(self): + for dataset in self.values(): + if not isinstance(dataset, Dataset): + raise TypeError(f"Values in `DatasetDict` should be of type `Dataset` but got type '{type(dataset)}'") + + def _check_values_features(self): + items = list(self.items()) + for item_a, item_b in zip(items[:-1], items[1:]): + if item_a[1].features != item_b[1].features: + raise ValueError( + f"All datasets in `DatasetDict` should have the same features but features for '{item_a[0]}' and '{item_b[0]}' don't match: {item_a[1].features} != {item_b[1].features}" + ) + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + # Here `del` is used to del the pyarrow tables. This properly closes the files used for memory mapped tables + for dataset in self.values(): + if hasattr(dataset, "_data"): + del dataset._data + if hasattr(dataset, "_indices"): + del dataset._indices + + def __getitem__(self, k) -> Dataset: + if isinstance(k, (str, NamedSplit)) or len(self) == 0: + return super().__getitem__(k) + else: + available_suggested_splits = [ + split for split in (Split.TRAIN, Split.TEST, Split.VALIDATION) if split in self + ] + suggested_split = available_suggested_splits[0] if available_suggested_splits else list(self)[0] + raise KeyError( + f"Invalid key: {k}. Please first select a split. For example: " + f"`my_dataset_dictionary['{suggested_split}'][{k}]`. " + f"Available splits: {sorted(self)}" + ) + + @property + def data(self) -> dict[str, Table]: + """The Apache Arrow tables backing each split. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.data + ``` + """ + self._check_values_type() + return {k: dataset.data for k, dataset in self.items()} + + @property + def cache_files(self) -> dict[str, dict]: + """The cache files containing the Apache Arrow table backing each split. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.cache_files + {'test': [{'filename': '/root/.cache/huggingface/datasets/rotten_tomatoes_movie_review/default/1.0.0/40d411e45a6ce3484deed7cc15b82a53dad9a72aafd9f86f8f227134bec5ca46/rotten_tomatoes_movie_review-test.arrow'}], + 'train': [{'filename': '/root/.cache/huggingface/datasets/rotten_tomatoes_movie_review/default/1.0.0/40d411e45a6ce3484deed7cc15b82a53dad9a72aafd9f86f8f227134bec5ca46/rotten_tomatoes_movie_review-train.arrow'}], + 'validation': [{'filename': '/root/.cache/huggingface/datasets/rotten_tomatoes_movie_review/default/1.0.0/40d411e45a6ce3484deed7cc15b82a53dad9a72aafd9f86f8f227134bec5ca46/rotten_tomatoes_movie_review-validation.arrow'}]} + ``` + """ + self._check_values_type() + return {k: dataset.cache_files for k, dataset in self.items()} + + @property + def num_columns(self) -> dict[str, int]: + """Number of columns in each split of the dataset. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.num_columns + {'test': 2, 'train': 2, 'validation': 2} + ``` + """ + self._check_values_type() + return {k: dataset.num_columns for k, dataset in self.items()} + + @property + def num_rows(self) -> dict[str, int]: + """Number of rows in each split of the dataset. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.num_rows + {'test': 1066, 'train': 8530, 'validation': 1066} + ``` + """ + self._check_values_type() + return {k: dataset.num_rows for k, dataset in self.items()} + + @property + def column_names(self) -> dict[str, list[str]]: + """Names of the columns in each split of the dataset. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.column_names + {'test': ['text', 'label'], + 'train': ['text', 'label'], + 'validation': ['text', 'label']} + ``` + """ + self._check_values_type() + return {k: dataset.column_names for k, dataset in self.items()} + + @property + def shape(self) -> dict[str, tuple[int]]: + """Shape of each split of the dataset (number of rows, number of columns). + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.shape + {'test': (1066, 2), 'train': (8530, 2), 'validation': (1066, 2)} + ``` + """ + self._check_values_type() + return {k: dataset.shape for k, dataset in self.items()} + + def flatten(self, max_depth=16) -> "DatasetDict": + """Flatten the Apache Arrow Table of each split (nested features are flatten). + Each column with a struct type is flattened into one column per struct field. + Other columns are left unchanged. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("rajpurkar/squad") + >>> ds["train"].features + {'answers': Sequence(feature={'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int32', id=None)}, length=-1, id=None), + 'context': Value(dtype='string', id=None), + 'id': Value(dtype='string', id=None), + 'question': Value(dtype='string', id=None), + 'title': Value(dtype='string', id=None)} + >>> ds.flatten() + DatasetDict({ + train: Dataset({ + features: ['id', 'title', 'context', 'question', 'answers.text', 'answers.answer_start'], + num_rows: 87599 + }) + validation: Dataset({ + features: ['id', 'title', 'context', 'question', 'answers.text', 'answers.answer_start'], + num_rows: 10570 + }) + }) + ``` + """ + self._check_values_type() + return DatasetDict({k: dataset.flatten(max_depth=max_depth) for k, dataset in self.items()}) + + def unique(self, column: str) -> dict[str, list]: + """Return a list of the unique elements in a column for each split. + + This is implemented in the low-level backend and as such, very fast. + + Args: + column (`str`): + column name (list all the column names with [`~datasets.DatasetDict.column_names`]) + + Returns: + Dict[`str`, `list`]: Dictionary of unique elements in the given column. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.unique("label") + {'test': [1, 0], 'train': [1, 0], 'validation': [1, 0]} + ``` + """ + self._check_values_type() + return {k: dataset.unique(column) for k, dataset in self.items()} + + def cleanup_cache_files(self) -> dict[str, int]: + """Clean up all cache files in the dataset cache directory, excepted the currently used cache file if there is one. + Be careful when running this command that no other process is currently using other cache files. + + Return: + `Dict` with the number of removed files for each split + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.cleanup_cache_files() + {'test': 0, 'train': 0, 'validation': 0} + ``` + """ + self._check_values_type() + return {k: dataset.cleanup_cache_files() for k, dataset in self.items()} + + def __repr__(self): + repr = "\n".join([f"{k}: {v}" for k, v in self.items()]) + repr = re.sub(r"^", " " * 4, repr, 0, re.M) + return f"DatasetDict({{\n{repr}\n}})" + + def cast(self, features: Features) -> "DatasetDict": + """ + Cast the dataset to a new set of features. + The transformation is applied to all the datasets of the dataset dictionary. + + Args: + features ([`Features`]): + New features to cast the dataset to. + The name and order of the fields in the features must match the current column names. + The type of the data must also be convertible from one type to the other. + For non-trivial conversion, e.g. `string` <-> `ClassLabel` you should use [`~DatasetDict.map`] to update the dataset. + + Example: + + ```py + >>> from datasets import load_dataset, ClassLabel, Value + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds["train"].features + {'label': ClassLabel(names=['neg', 'pos'], id=None), + 'text': Value(dtype='string', id=None)} + >>> new_features = ds["train"].features.copy() + >>> new_features['label'] = ClassLabel(names=['bad', 'good']) + >>> new_features['text'] = Value('large_string') + >>> ds = ds.cast(new_features) + >>> ds["train"].features + {'label': ClassLabel(names=['bad', 'good'], id=None), + 'text': Value(dtype='large_string', id=None)} + ``` + """ + self._check_values_type() + return DatasetDict({k: dataset.cast(features=features) for k, dataset in self.items()}) + + def cast_column(self, column: str, feature) -> "DatasetDict": + """Cast column to feature for decoding. + + Args: + column (`str`): + Column name. + feature ([`Feature`]): + Target feature. + + Returns: + [`DatasetDict`] + + Example: + + ```py + >>> from datasets import load_dataset, ClassLabel + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds["train"].features + {'label': ClassLabel(names=['neg', 'pos'], id=None), + 'text': Value(dtype='string', id=None)} + >>> ds = ds.cast_column('label', ClassLabel(names=['bad', 'good'])) + >>> ds["train"].features + {'label': ClassLabel(names=['bad', 'good'], id=None), + 'text': Value(dtype='string', id=None)} + ``` + """ + self._check_values_type() + return DatasetDict({k: dataset.cast_column(column=column, feature=feature) for k, dataset in self.items()}) + + def remove_columns(self, column_names: Union[str, list[str]]) -> "DatasetDict": + """ + Remove one or several column(s) from each split in the dataset + and the features associated to the column(s). + + The transformation is applied to all the splits of the dataset dictionary. + + You can also remove a column using [`~DatasetDict.map`] with `remove_columns` but the present method + doesn't copy the data of the remaining columns and is thus faster. + + Args: + column_names (`Union[str, list[str]]`): + Name of the column(s) to remove. + + Returns: + [`DatasetDict`]: A copy of the dataset object without the columns to remove. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds = ds.remove_columns("label") + DatasetDict({ + train: Dataset({ + features: ['text'], + num_rows: 8530 + }) + validation: Dataset({ + features: ['text'], + num_rows: 1066 + }) + test: Dataset({ + features: ['text'], + num_rows: 1066 + }) + }) + ``` + """ + self._check_values_type() + return DatasetDict({k: dataset.remove_columns(column_names=column_names) for k, dataset in self.items()}) + + def rename_column(self, original_column_name: str, new_column_name: str) -> "DatasetDict": + """ + Rename a column in the dataset and move the features associated to the original column under the new column name. + The transformation is applied to all the datasets of the dataset dictionary. + + You can also rename a column using [`~DatasetDict.map`] with `remove_columns` but the present method: + - takes care of moving the original features under the new column name. + - doesn't copy the data to a new dataset and is thus much faster. + + Args: + original_column_name (`str`): + Name of the column to rename. + new_column_name (`str`): + New name for the column. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds = ds.rename_column("label", "label_new") + DatasetDict({ + train: Dataset({ + features: ['text', 'label_new'], + num_rows: 8530 + }) + validation: Dataset({ + features: ['text', 'label_new'], + num_rows: 1066 + }) + test: Dataset({ + features: ['text', 'label_new'], + num_rows: 1066 + }) + }) + ``` + """ + self._check_values_type() + return DatasetDict( + { + k: dataset.rename_column( + original_column_name=original_column_name, + new_column_name=new_column_name, + ) + for k, dataset in self.items() + } + ) + + def rename_columns(self, column_mapping: dict[str, str]) -> "DatasetDict": + """ + Rename several columns in the dataset, and move the features associated to the original columns under + the new column names. + The transformation is applied to all the datasets of the dataset dictionary. + + Args: + column_mapping (`Dict[str, str]`): + A mapping of columns to rename to their new names. + + Returns: + [`DatasetDict`]: A copy of the dataset with renamed columns. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.rename_columns({'text': 'text_new', 'label': 'label_new'}) + DatasetDict({ + train: Dataset({ + features: ['text_new', 'label_new'], + num_rows: 8530 + }) + validation: Dataset({ + features: ['text_new', 'label_new'], + num_rows: 1066 + }) + test: Dataset({ + features: ['text_new', 'label_new'], + num_rows: 1066 + }) + }) + ``` + """ + self._check_values_type() + return DatasetDict({k: dataset.rename_columns(column_mapping=column_mapping) for k, dataset in self.items()}) + + def select_columns(self, column_names: Union[str, list[str]]) -> "DatasetDict": + """Select one or several column(s) from each split in the dataset and + the features associated to the column(s). + + The transformation is applied to all the splits of the dataset + dictionary. + + Args: + column_names (`Union[str, list[str]]`): + Name of the column(s) to keep. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.select_columns("text") + DatasetDict({ + train: Dataset({ + features: ['text'], + num_rows: 8530 + }) + validation: Dataset({ + features: ['text'], + num_rows: 1066 + }) + test: Dataset({ + features: ['text'], + num_rows: 1066 + }) + }) + ``` + """ + self._check_values_type() + return DatasetDict({k: dataset.select_columns(column_names=column_names) for k, dataset in self.items()}) + + def class_encode_column(self, column: str, include_nulls: bool = False) -> "DatasetDict": + """Casts the given column as [`~datasets.features.ClassLabel`] and updates the tables. + + Args: + column (`str`): + The name of the column to cast. + include_nulls (`bool`, defaults to `False`): + Whether to include null values in the class labels. If `True`, the null values will be encoded as the `"None"` class label. + + + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("boolq") + >>> ds["train"].features + {'answer': Value(dtype='bool', id=None), + 'passage': Value(dtype='string', id=None), + 'question': Value(dtype='string', id=None)} + >>> ds = ds.class_encode_column("answer") + >>> ds["train"].features + {'answer': ClassLabel(num_classes=2, names=['False', 'True'], id=None), + 'passage': Value(dtype='string', id=None), + 'question': Value(dtype='string', id=None)} + ``` + """ + self._check_values_type() + return DatasetDict( + {k: dataset.class_encode_column(column=column, include_nulls=include_nulls) for k, dataset in self.items()} + ) + + @contextlib.contextmanager + def formatted_as( + self, + type: Optional[str] = None, + columns: Optional[list] = None, + output_all_columns: bool = False, + **format_kwargs, + ): + """To be used in a `with` statement. Set `__getitem__` return format (type and columns). + The transformation is applied to all the datasets of the dataset dictionary. + + Args: + type (`str`, *optional*): + Either output type selected in `[None, 'numpy', 'torch', 'tensorflow', 'jax', 'arrow', 'pandas', 'polars']`. + `None` means `__getitem__` returns python objects (default). + columns (`list[str]`, *optional*): + Columns to format in the output. + `None` means `__getitem__` returns all columns (default). + output_all_columns (`bool`, defaults to False): + Keep un-formatted columns as well in the output (as python objects). + **format_kwargs (additional keyword arguments): + Keywords arguments passed to the convert function like `np.array`, `torch.tensor` or `tensorflow.ragged.constant`. + """ + self._check_values_type() + old_format_type = {k: dataset._format_type for k, dataset in self.items()} + old_format_kwargs = {k: dataset._format_kwargs for k, dataset in self.items()} + old_format_columns = {k: dataset._format_columns for k, dataset in self.items()} + old_output_all_columns = {k: dataset._output_all_columns for k, dataset in self.items()} + try: + self.set_format(type, columns, output_all_columns, **format_kwargs) + yield + finally: + for k, dataset in self.items(): + dataset.set_format( + old_format_type[k], + old_format_columns[k], + old_output_all_columns[k], + **old_format_kwargs[k], + ) + + def set_format( + self, + type: Optional[str] = None, + columns: Optional[list] = None, + output_all_columns: bool = False, + **format_kwargs, + ): + """Set `__getitem__` return format (type and columns). + The format is set for every dataset in the dataset dictionary. + + Args: + type (`str`, *optional*): + Either output type selected in `[None, 'numpy', 'torch', 'tensorflow', 'jax', 'arrow', 'pandas', 'polars']`. + `None` means `__getitem__` returns python objects (default). + columns (`list[str]`, *optional*): + Columns to format in the output. + `None` means `__getitem__` returns all columns (default). + output_all_columns (`bool`, defaults to False): + Keep un-formatted columns as well in the output (as python objects), + **format_kwargs (additional keyword arguments): + Keywords arguments passed to the convert function like `np.array`, `torch.tensor` or `tensorflow.ragged.constant`. + + It is possible to call `map` after calling `set_format`. Since `map` may add new columns, then the list of formatted columns + gets updated. In this case, if you apply `map` on a dataset to add a new column, then this column will be formatted: + + `new formatted columns = (all columns - previously unformatted columns)` + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + >>> ds = ds.map(lambda x: tokenizer(x["text"], truncation=True, padding=True), batched=True) + >>> ds.set_format(type="numpy", columns=['input_ids', 'token_type_ids', 'attention_mask', 'label']) + >>> ds["train"].format + {'columns': ['input_ids', 'token_type_ids', 'attention_mask', 'label'], + 'format_kwargs': {}, + 'output_all_columns': False, + 'type': 'numpy'} + ``` + """ + self._check_values_type() + for dataset in self.values(): + dataset.set_format( + type=type, + columns=columns, + output_all_columns=output_all_columns, + **format_kwargs, + ) + + def reset_format(self): + """Reset `__getitem__` return format to python objects and all columns. + The transformation is applied to all the datasets of the dataset dictionary. + + Same as `self.set_format()` + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + >>> ds = ds.map(lambda x: tokenizer(x["text"], truncation=True, padding=True), batched=True) + >>> ds.set_format(type="numpy", columns=['input_ids', 'token_type_ids', 'attention_mask', 'label']) + >>> ds["train"].format + {'columns': ['input_ids', 'token_type_ids', 'attention_mask', 'label'], + 'format_kwargs': {}, + 'output_all_columns': False, + 'type': 'numpy'} + >>> ds.reset_format() + >>> ds["train"].format + {'columns': ['text', 'label', 'input_ids', 'token_type_ids', 'attention_mask'], + 'format_kwargs': {}, + 'output_all_columns': False, + 'type': None} + ``` + """ + self._check_values_type() + for dataset in self.values(): + dataset.set_format() + + def set_transform( + self, + transform: Optional[Callable], + columns: Optional[list] = None, + output_all_columns: bool = False, + ): + """Set ``__getitem__`` return format using this transform. The transform is applied on-the-fly on batches when ``__getitem__`` is called. + The transform is set for every dataset in the dataset dictionary + As :func:`datasets.Dataset.set_format`, this can be reset using :func:`datasets.Dataset.reset_format` + + Args: + transform (`Callable`, optional): user-defined formatting transform, replaces the format defined by :func:`datasets.Dataset.set_format` + A formatting function is a callable that takes a batch (as a dict) as input and returns a batch. + This function is applied right before returning the objects in ``__getitem__``. + columns (`list[str]`, optional): columns to format in the output + If specified, then the input batch of the transform only contains those columns. + output_all_columns (`bool`, default to False): keep un-formatted columns as well in the output (as python objects) + If set to True, then the other un-formatted columns are kept with the output of the transform. + + """ + self._check_values_type() + for dataset in self.values(): + dataset.set_format( + "custom", + columns=columns, + output_all_columns=output_all_columns, + transform=transform, + ) + + def with_format( + self, + type: Optional[str] = None, + columns: Optional[list] = None, + output_all_columns: bool = False, + **format_kwargs, + ) -> "DatasetDict": + """Set `__getitem__` return format (type and columns). The data formatting is applied on-the-fly. + The format `type` (for example "numpy") is used to format batches when using `__getitem__`. + The format is set for every dataset in the dataset dictionary. + + It's also possible to use custom transforms for formatting using [`~datasets.Dataset.with_transform`]. + + Contrary to [`~datasets.DatasetDict.set_format`], `with_format` returns a new [`DatasetDict`] object with new [`Dataset`] objects. + + Args: + type (`str`, *optional*): + Either output type selected in `[None, 'numpy', 'torch', 'tensorflow', 'jax', 'arrow', 'pandas', 'polars']`. + `None` means `__getitem__` returns python objects (default). + columns (`list[str]`, *optional*): + Columns to format in the output. + `None` means `__getitem__` returns all columns (default). + output_all_columns (`bool`, defaults to `False`): + Keep un-formatted columns as well in the output (as python objects). + **format_kwargs (additional keyword arguments): + Keywords arguments passed to the convert function like `np.array`, `torch.tensor` or `tensorflow.ragged.constant`. + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + >>> ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True) + >>> ds["train"].format + {'columns': ['text', 'label', 'input_ids', 'token_type_ids', 'attention_mask'], + 'format_kwargs': {}, + 'output_all_columns': False, + 'type': None} + >>> ds = ds.with_format("torch") + >>> ds["train"].format + {'columns': ['text', 'label', 'input_ids', 'token_type_ids', 'attention_mask'], + 'format_kwargs': {}, + 'output_all_columns': False, + 'type': 'torch'} + >>> ds["train"][0] + {'text': 'compassionately explores the seemingly irreconcilable situation between conservative christian parents and their estranged gay and lesbian children .', + 'label': tensor(1), + 'input_ids': tensor([ 101, 18027, 16310, 16001, 1103, 9321, 178, 11604, 7235, 6617, + 1742, 2165, 2820, 1206, 6588, 22572, 12937, 1811, 2153, 1105, + 1147, 12890, 19587, 6463, 1105, 15026, 1482, 119, 102, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0]), + 'token_type_ids': tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), + 'attention_mask': tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, + 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])} + ``` + """ + dataset = copy.deepcopy(self) + dataset.set_format( + type=type, + columns=columns, + output_all_columns=output_all_columns, + **format_kwargs, + ) + return dataset + + def with_transform( + self, + transform: Optional[Callable], + columns: Optional[list] = None, + output_all_columns: bool = False, + ) -> "DatasetDict": + """Set `__getitem__` return format using this transform. The transform is applied on-the-fly on batches when `__getitem__` is called. + The transform is set for every dataset in the dataset dictionary + + As [`~datasets.Dataset.set_format`], this can be reset using [`~datasets.Dataset.reset_format`]. + + Contrary to [`~datasets.DatasetDict.set_transform`], `with_transform` returns a new [`DatasetDict`] object with new [`Dataset`] objects. + + Args: + transform (`Callable`, *optional*): + User-defined formatting transform, replaces the format defined by [`~datasets.Dataset.set_format`]. + A formatting function is a callable that takes a batch (as a dict) as input and returns a batch. + This function is applied right before returning the objects in `__getitem__`. + columns (`list[str]`, *optional*): + Columns to format in the output. + If specified, then the input batch of the transform only contains those columns. + output_all_columns (`bool`, defaults to False): + Keep un-formatted columns as well in the output (as python objects). + If set to `True`, then the other un-formatted columns are kept with the output of the transform. + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + >>> def encode(example): + ... return tokenizer(example['text'], truncation=True, padding=True, return_tensors="pt") + >>> ds = ds.with_transform(encode) + >>> ds["train"][0] + {'attention_mask': tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, + 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, + 1, 1, 1, 1, 1, 1, 1, 1, 1]), + 'input_ids': tensor([ 101, 1103, 2067, 1110, 17348, 1106, 1129, 1103, 6880, 1432, + 112, 188, 1207, 107, 14255, 1389, 107, 1105, 1115, 1119, + 112, 188, 1280, 1106, 1294, 170, 24194, 1256, 3407, 1190, + 170, 11791, 5253, 188, 1732, 7200, 10947, 12606, 2895, 117, + 179, 7766, 118, 172, 15554, 1181, 3498, 6961, 3263, 1137, + 188, 1566, 7912, 14516, 6997, 119, 102]), + 'token_type_ids': tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0])} + ``` + """ + dataset = copy.deepcopy(self) + dataset.set_transform(transform=transform, columns=columns, output_all_columns=output_all_columns) + return dataset + + def map( + self, + function: Optional[Callable] = None, + with_indices: bool = False, + with_rank: bool = False, + with_split: bool = False, + input_columns: Optional[Union[str, list[str]]] = None, + batched: bool = False, + batch_size: Optional[int] = 1000, + drop_last_batch: bool = False, + remove_columns: Optional[Union[str, list[str]]] = None, + keep_in_memory: bool = False, + load_from_cache_file: Optional[bool] = None, + cache_file_names: Optional[dict[str, Optional[str]]] = None, + writer_batch_size: Optional[int] = 1000, + features: Optional[Features] = None, + disable_nullable: bool = False, + fn_kwargs: Optional[dict] = None, + num_proc: Optional[int] = None, + desc: Optional[str] = None, + try_original_type: Optional[bool] = True, + ) -> "DatasetDict": + """ + Apply a function to all the examples in the table (individually or in batches) and update the table. + If your function returns a column that already exists, then it overwrites it. + The transformation is applied to all the datasets of the dataset dictionary. + + You can specify whether the function should be batched or not with the `batched` parameter: + + - If batched is `False`, then the function takes 1 example in and should return 1 example. + An example is a dictionary, e.g. `{"text": "Hello there !"}`. + - If batched is `True` and `batch_size` is 1, then the function takes a batch of 1 example as input and can return a batch with 1 or more examples. + A batch is a dictionary, e.g. a batch of 1 example is `{"text": ["Hello there !"]}`. + - If batched is `True` and `batch_size` is `n > 1`, then the function takes a batch of `n` examples as input and can return a batch with `n` examples, or with an arbitrary number of examples. + Note that the last batch may have less than `n` examples. + A batch is a dictionary, e.g. a batch of `n` examples is `{"text": ["Hello there !"] * n}`. + + If the function is asynchronous, then `map` will run your function in parallel, with up to one thousand simulatenous calls. + It is recommended to use a `asyncio.Semaphore` in your function if you want to set a maximum number of operations that can run at the same time. + + Args: + function (`callable`): with one of the following signature: + - `function(example: Dict[str, Any]) -> Dict[str, Any]` if `batched=False` and `with_indices=False` + - `function(example: Dict[str, Any], indices: int) -> Dict[str, Any]` if `batched=False` and `with_indices=True` + - `function(batch: Dict[str, list]) -> Dict[str, list]` if `batched=True` and `with_indices=False` + - `function(batch: Dict[str, list], indices: list[int]) -> Dict[str, list]` if `batched=True` and `with_indices=True` + + For advanced usage, the function can also return a `pyarrow.Table`. + If the function is asynchronous, then `map` will run your function in parallel. + Moreover if your function returns nothing (`None`), then `map` will run your function and return the dataset unchanged. + If no function is provided, default to identity function: `lambda x: x`. + with_indices (`bool`, defaults to `False`): + Provide example indices to `function`. Note that in this case the signature of `function` should be `def function(example, idx): ...`. + with_rank (`bool`, defaults to `False`): + Provide process rank to `function`. Note that in this case the + signature of `function` should be `def function(example[, idx], rank): ...`. + with_split (`bool`, defaults to `False`): + Provide process split to `function`. Note that in this case the + signature of `function` should be `def function(example[, idx], split): ...`. + input_columns (`[Union[str, list[str]]]`, *optional*, defaults to `None`): + The columns to be passed into `function` as + positional arguments. If `None`, a dict mapping to all formatted columns is passed as one argument. + batched (`bool`, defaults to `False`): + Provide batch of examples to `function`. + batch_size (`int`, *optional*, defaults to `1000`): + Number of examples per batch provided to `function` if `batched=True`, + `batch_size <= 0` or `batch_size == None` then provide the full dataset as a single batch to `function`. + drop_last_batch (`bool`, defaults to `False`): + Whether a last batch smaller than the batch_size should be + dropped instead of being processed by the function. + remove_columns (`[Union[str, list[str]]]`, *optional*, defaults to `None`): + Remove a selection of columns while doing the mapping. + Columns will be removed before updating the examples with the output of `function`, i.e. if `function` is adding + columns with names in `remove_columns`, these columns will be kept. + keep_in_memory (`bool`, defaults to `False`): + Keep the dataset in memory instead of writing it to a cache file. + load_from_cache_file (`Optional[bool]`, defaults to `True` if caching is enabled): + If a cache file storing the current computation from `function` + can be identified, use it instead of recomputing. + cache_file_names (`[Dict[str, str]]`, *optional*, defaults to `None`): + Provide the name of a path for the cache file. It is used to store the + results of the computation instead of the automatically generated cache file name. + You have to provide one `cache_file_name` per dataset in the dataset dictionary. + writer_batch_size (`int`, default `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + features (`[datasets.Features]`, *optional*, defaults to `None`): + Use a specific [`Features`] to store the cache file + instead of the automatically generated one. + disable_nullable (`bool`, defaults to `False`): + Disallow null values in the table. + fn_kwargs (`Dict`, *optional*, defaults to `None`): + Keyword arguments to be passed to `function` + num_proc (`int`, *optional*, defaults to `None`): + Number of processes for multiprocessing. By default it doesn't + use multiprocessing. + desc (`str`, *optional*, defaults to `None`): + Meaningful description to be displayed alongside with the progress bar while mapping examples. + try_original_type (`Optional[bool]`, defaults to `True`): + Try to keep the types of the original columns (e.g. int32 -> int32). + Set to False if you want to always infer new types. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> def add_prefix(example): + ... example["text"] = "Review: " + example["text"] + ... return example + >>> ds = ds.map(add_prefix) + >>> ds["train"][0:3]["text"] + ['Review: the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .', + 'Review: the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .', + 'Review: effective but too-tepid biopic'] + + # process a batch of examples + >>> ds = ds.map(lambda example: tokenizer(example["text"]), batched=True) + # set number of processors + >>> ds = ds.map(add_prefix, num_proc=4) + ``` + """ + self._check_values_type() + if cache_file_names is None: + cache_file_names = dict.fromkeys(self) + + dataset_dict = {} + for split, dataset in self.items(): + if with_split: + function = bind(function, split) + + dataset_dict[split] = dataset.map( + function=function, + with_indices=with_indices, + with_rank=with_rank, + input_columns=input_columns, + batched=batched, + batch_size=batch_size, + drop_last_batch=drop_last_batch, + remove_columns=remove_columns, + keep_in_memory=keep_in_memory, + load_from_cache_file=load_from_cache_file, + cache_file_name=cache_file_names[split], + writer_batch_size=writer_batch_size, + features=features, + disable_nullable=disable_nullable, + fn_kwargs=fn_kwargs, + num_proc=num_proc, + desc=desc, + try_original_type=try_original_type, + ) + + if with_split: + function = function.func + + return DatasetDict(dataset_dict) + + def filter( + self, + function: Optional[Callable] = None, + with_indices: bool = False, + with_rank: bool = False, + input_columns: Optional[Union[str, list[str]]] = None, + batched: bool = False, + batch_size: Optional[int] = 1000, + keep_in_memory: bool = False, + load_from_cache_file: Optional[bool] = None, + cache_file_names: Optional[dict[str, Optional[str]]] = None, + writer_batch_size: Optional[int] = 1000, + fn_kwargs: Optional[dict] = None, + num_proc: Optional[int] = None, + desc: Optional[str] = None, + ) -> "DatasetDict": + """Apply a filter function to all the elements in the table in batches + and update the table so that the dataset only includes examples according to the filter function. + The transformation is applied to all the datasets of the dataset dictionary. + + Args: + function (`Callable`): Callable with one of the following signatures: + + - `function(example: Dict[str, Any]) -> bool` if `batched=False` and `with_indices=False` and `with_rank=False` + - `function(example: Dict[str, Any], *extra_args) -> bool` if `batched=False` and `with_indices=True` and/or `with_rank=True` (one extra arg for each) + - `function(batch: Dict[str, list]) -> list[bool]` if `batched=True` and `with_indices=False` and `with_rank=False` + - `function(batch: Dict[str, list], *extra_args) -> list[bool]` if `batched=True` and `with_indices=True` and/or `with_rank=True` (one extra arg for each) + + If no function is provided, defaults to an always `True` function: `lambda x: True`. + with_indices (`bool`, defaults to `False`): + Provide example indices to `function`. Note that in this case the + signature of `function` should be `def function(example, idx[, rank]): ...`. + with_rank (`bool`, defaults to `False`): + Provide process rank to `function`. Note that in this case the + signature of `function` should be `def function(example[, idx], rank): ...`. + input_columns (`[Union[str, list[str]]]`, *optional*, defaults to `None`): + The columns to be passed into `function` as + positional arguments. If `None`, a dict mapping to all formatted columns is passed as one argument. + batched (`bool`, defaults to `False`): + Provide batch of examples to `function`. + batch_size (`int`, *optional*, defaults to `1000`): + Number of examples per batch provided to `function` if `batched=True` + `batch_size <= 0` or `batch_size == None` then provide the full dataset as a single batch to `function`. + keep_in_memory (`bool`, defaults to `False`): + Keep the dataset in memory instead of writing it to a cache file. + load_from_cache_file (`Optional[bool]`, defaults to `True` if caching is enabled): + If a cache file storing the current computation from `function` + can be identified, use it instead of recomputing. + cache_file_names (`[Dict[str, str]]`, *optional*, defaults to `None`): + Provide the name of a path for the cache file. It is used to store the + results of the computation instead of the automatically generated cache file name. + You have to provide one `cache_file_name` per dataset in the dataset dictionary. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + fn_kwargs (`Dict`, *optional*, defaults to `None`): + Keyword arguments to be passed to `function` + num_proc (`int`, *optional*, defaults to `None`): + Number of processes for multiprocessing. By default it doesn't + use multiprocessing. + desc (`str`, *optional*, defaults to `None`): + Meaningful description to be displayed alongside with the progress bar while filtering examples. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds.filter(lambda x: x["label"] == 1) + DatasetDict({ + train: Dataset({ + features: ['text', 'label'], + num_rows: 4265 + }) + validation: Dataset({ + features: ['text', 'label'], + num_rows: 533 + }) + test: Dataset({ + features: ['text', 'label'], + num_rows: 533 + }) + }) + ``` + """ + self._check_values_type() + if cache_file_names is None: + cache_file_names = dict.fromkeys(self) + return DatasetDict( + { + k: dataset.filter( + function=function, + with_indices=with_indices, + with_rank=with_rank, + input_columns=input_columns, + batched=batched, + batch_size=batch_size, + keep_in_memory=keep_in_memory, + load_from_cache_file=load_from_cache_file, + cache_file_name=cache_file_names[k], + writer_batch_size=writer_batch_size, + fn_kwargs=fn_kwargs, + num_proc=num_proc, + desc=desc, + ) + for k, dataset in self.items() + } + ) + + def flatten_indices( + self, + keep_in_memory: bool = False, + cache_file_names: Optional[dict[str, Optional[str]]] = None, + writer_batch_size: Optional[int] = 1000, + features: Optional[Features] = None, + disable_nullable: bool = False, + num_proc: Optional[int] = None, + new_fingerprint: Optional[str] = None, + ) -> "DatasetDict": + """Create and cache a new Dataset by flattening the indices mapping. + + Args: + keep_in_memory (`bool`, defaults to `False`): + Keep the dataset in memory instead of writing it to a cache file. + cache_file_names (`Dict[str, str]`, *optional*, default `None`): + Provide the name of a path for the cache file. It is used to store the + results of the computation instead of the automatically generated cache file name. + You have to provide one `cache_file_name` per dataset in the dataset dictionary. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + features (`Optional[datasets.Features]`, defaults to `None`): + Use a specific [`Features`] to store the cache file + instead of the automatically generated one. + disable_nullable (`bool`, defaults to `False`): + Allow null values in the table. + num_proc (`int`, optional, default `None`): + Max number of processes when generating cache. Already cached shards are loaded sequentially + new_fingerprint (`str`, *optional*, defaults to `None`): + The new fingerprint of the dataset after transform. + If `None`, the new fingerprint is computed using a hash of the previous fingerprint, and the transform arguments + """ + self._check_values_type() + if cache_file_names is None: + cache_file_names = dict.fromkeys(self) + return DatasetDict( + { + k: dataset.flatten_indices( + keep_in_memory=keep_in_memory, + cache_file_name=cache_file_names[k], + writer_batch_size=writer_batch_size, + features=features, + disable_nullable=disable_nullable, + num_proc=num_proc, + new_fingerprint=new_fingerprint, + ) + for k, dataset in self.items() + } + ) + + def sort( + self, + column_names: Union[str, Sequence[str]], + reverse: Union[bool, Sequence[bool]] = False, + null_placement: str = "at_end", + keep_in_memory: bool = False, + load_from_cache_file: Optional[bool] = None, + indices_cache_file_names: Optional[dict[str, Optional[str]]] = None, + writer_batch_size: Optional[int] = 1000, + ) -> "DatasetDict": + """Create a new dataset sorted according to a single or multiple columns. + + Args: + column_names (`Union[str, Sequence[str]]`): + Column name(s) to sort by. + reverse (`Union[bool, Sequence[bool]]`, defaults to `False`): + If `True`, sort by descending order rather than ascending. If a single bool is provided, + the value is applied to the sorting of all column names. Otherwise a list of bools with the + same length and order as column_names must be provided. + null_placement (`str`, defaults to `at_end`): + Put `None` values at the beginning if `at_start` or `first` or at the end if `at_end` or `last` + keep_in_memory (`bool`, defaults to `False`): + Keep the sorted indices in memory instead of writing it to a cache file. + load_from_cache_file (`Optional[bool]`, defaults to `True` if caching is enabled): + If a cache file storing the sorted indices + can be identified, use it instead of recomputing. + indices_cache_file_names (`[Dict[str, str]]`, *optional*, defaults to `None`): + Provide the name of a path for the cache file. It is used to store the + indices mapping instead of the automatically generated cache file name. + You have to provide one `cache_file_name` per dataset in the dataset dictionary. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + Higher value gives smaller cache files, lower value consume less temporary memory. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset('cornell-movie-review-data/rotten_tomatoes') + >>> ds['train']['label'][:10] + [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] + >>> sorted_ds = ds.sort('label') + >>> sorted_ds['train']['label'][:10] + [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] + >>> another_sorted_ds = ds.sort(['label', 'text'], reverse=[True, False]) + >>> another_sorted_ds['train']['label'][:10] + [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] + ``` + """ + self._check_values_type() + if indices_cache_file_names is None: + indices_cache_file_names = dict.fromkeys(self) + return DatasetDict( + { + k: dataset.sort( + column_names=column_names, + reverse=reverse, + null_placement=null_placement, + keep_in_memory=keep_in_memory, + load_from_cache_file=load_from_cache_file, + indices_cache_file_name=indices_cache_file_names[k], + writer_batch_size=writer_batch_size, + ) + for k, dataset in self.items() + } + ) + + def shuffle( + self, + seeds: Optional[Union[int, dict[str, Optional[int]]]] = None, + seed: Optional[int] = None, + generators: Optional[dict[str, np.random.Generator]] = None, + keep_in_memory: bool = False, + load_from_cache_file: Optional[bool] = None, + indices_cache_file_names: Optional[dict[str, Optional[str]]] = None, + writer_batch_size: Optional[int] = 1000, + ) -> "DatasetDict": + """Create a new Dataset where the rows are shuffled. + + The transformation is applied to all the datasets of the dataset dictionary. + + Currently shuffling uses numpy random generators. + You can either supply a NumPy BitGenerator to use, or a seed to initiate NumPy's default random generator (PCG64). + + Args: + seeds (`Dict[str, int]` or `int`, *optional*): + A seed to initialize the default BitGenerator if `generator=None`. + If `None`, then fresh, unpredictable entropy will be pulled from the OS. + If an `int` or `array_like[ints]` is passed, then it will be passed to SeedSequence to derive the initial BitGenerator state. + You can provide one `seed` per dataset in the dataset dictionary. + seed (`int`, *optional*): + A seed to initialize the default BitGenerator if `generator=None`. Alias for seeds (a `ValueError` is raised if both are provided). + generators (`Dict[str, *optional*, np.random.Generator]`): + Numpy random Generator to use to compute the permutation of the dataset rows. + If `generator=None` (default), uses `np.random.default_rng` (the default BitGenerator (PCG64) of NumPy). + You have to provide one `generator` per dataset in the dataset dictionary. + keep_in_memory (`bool`, defaults to `False`): + Keep the dataset in memory instead of writing it to a cache file. + load_from_cache_file (`Optional[bool]`, defaults to `True` if caching is enabled): + If a cache file storing the current computation from `function` + can be identified, use it instead of recomputing. + indices_cache_file_names (`Dict[str, str]`, *optional*): + Provide the name of a path for the cache file. It is used to store the + indices mappings instead of the automatically generated cache file name. + You have to provide one `cache_file_name` per dataset in the dataset dictionary. + writer_batch_size (`int`, defaults to `1000`): + Number of rows per write operation for the cache file writer. + This value is a good trade-off between memory usage during the processing, and processing speed. + Higher value makes the processing do fewer lookups, lower value consume less temporary memory while running `map`. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes") + >>> ds["train"]["label"][:10] + [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] + + # set a seed + >>> shuffled_ds = ds.shuffle(seed=42) + >>> shuffled_ds["train"]["label"][:10] + [0, 1, 0, 1, 0, 0, 0, 0, 0, 0] + ``` + """ + self._check_values_type() + if seed is not None and seeds is not None: + raise ValueError("Please specify seed or seeds, but not both") + seeds = seed if seed is not None else seeds + if seeds is None: + seeds = dict.fromkeys(self) + elif not isinstance(seeds, dict): + seeds = dict.fromkeys(self, seeds) + if generators is None: + generators = dict.fromkeys(self) + if indices_cache_file_names is None: + indices_cache_file_names = dict.fromkeys(self) + return DatasetDict( + { + k: dataset.shuffle( + seed=seeds[k], + generator=generators[k], + keep_in_memory=keep_in_memory, + load_from_cache_file=load_from_cache_file, + indices_cache_file_name=indices_cache_file_names[k], + writer_batch_size=writer_batch_size, + ) + for k, dataset in self.items() + } + ) + + def save_to_disk( + self, + dataset_dict_path: PathLike, + max_shard_size: Optional[Union[str, int]] = None, + num_shards: Optional[dict[str, int]] = None, + num_proc: Optional[int] = None, + storage_options: Optional[dict] = None, + ): + """ + Saves a dataset dict to a filesystem using `fsspec.spec.AbstractFileSystem`. + + For [`Image`], [`Audio`] and [`Video`] data: + + All the Image(), Audio() and Video() data are stored in the arrow files. + If you want to store paths or urls, please use the Value("string") type. + + Args: + dataset_dict_path (`path-like`): + Path (e.g. `dataset/train`) or remote URI (e.g. `s3://my-bucket/dataset/train`) + of the dataset dict directory where the dataset dict will be saved to. + max_shard_size (`int` or `str`, *optional*, defaults to `"500MB"`): + The maximum size of the dataset shards to be uploaded to the hub. If expressed as a string, needs to be digits followed by a unit + (like `"50MB"`). + num_shards (`Dict[str, int]`, *optional*): + Number of shards to write. By default the number of shards depends on `max_shard_size` and `num_proc`. + You need to provide the number of shards for each dataset in the dataset dictionary. + Use a dictionary to define a different num_shards for each split. + + + num_proc (`int`, *optional*, default `None`): + Number of processes when downloading and generating the dataset locally. + Multiprocessing is disabled by default. + + + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + + Example: + + ```python + >>> dataset_dict.save_to_disk("path/to/dataset/directory") + >>> dataset_dict.save_to_disk("path/to/dataset/directory", max_shard_size="1GB") + >>> dataset_dict.save_to_disk("path/to/dataset/directory", num_shards={"train": 1024, "test": 8}) + ``` + """ + fs: fsspec.AbstractFileSystem + fs, _ = url_to_fs(dataset_dict_path, **(storage_options or {})) + + if num_shards is None: + num_shards = dict.fromkeys(self) + elif not isinstance(num_shards, dict): + raise ValueError( + "Please provide one `num_shards` per dataset in the dataset dictionary, e.g. {{'train': 128, 'test': 4}}" + ) + + fs.makedirs(dataset_dict_path, exist_ok=True) + + with fs.open( + posixpath.join(dataset_dict_path, config.DATASETDICT_JSON_FILENAME), + "w", + encoding="utf-8", + ) as f: + json.dump({"splits": list(self)}, f) + for k, dataset in self.items(): + dataset.save_to_disk( + posixpath.join(dataset_dict_path, k), + num_shards=num_shards.get(k), + max_shard_size=max_shard_size, + num_proc=num_proc, + storage_options=storage_options, + ) + + @staticmethod + def load_from_disk( + dataset_dict_path: PathLike, + keep_in_memory: Optional[bool] = None, + storage_options: Optional[dict] = None, + ) -> "DatasetDict": + """ + Load a dataset that was previously saved using [`save_to_disk`] from a filesystem using `fsspec.spec.AbstractFileSystem`. + + Args: + dataset_dict_path (`path-like`): + Path (e.g. `"dataset/train"`) or remote URI (e.g. `"s3//my-bucket/dataset/train"`) + of the dataset dict directory where the dataset dict will be loaded from. + keep_in_memory (`bool`, defaults to `None`): + Whether to copy the dataset in-memory. If `None`, the + dataset will not be copied in-memory unless explicitly enabled by setting + `datasets.config.IN_MEMORY_MAX_SIZE` to nonzero. See more details in the + [improve performance](../cache#improve-performance) section. + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + + Returns: + [`DatasetDict`] + + Example: + + ```py + >>> ds = load_from_disk('path/to/dataset/directory') + ``` + """ + fs: fsspec.AbstractFileSystem + fs, dataset_dict_path = url_to_fs(dataset_dict_path, **(storage_options or {})) + + dataset_dict_json_path = posixpath.join(dataset_dict_path, config.DATASETDICT_JSON_FILENAME) + dataset_state_json_path = posixpath.join(dataset_dict_path, config.DATASET_STATE_JSON_FILENAME) + dataset_info_path = posixpath.join(dataset_dict_path, config.DATASET_INFO_FILENAME) + if not fs.isfile(dataset_dict_json_path): + if fs.isfile(dataset_info_path) and fs.isfile(dataset_state_json_path): + raise FileNotFoundError( + f"No such file: '{dataset_dict_json_path}'. Expected to load a `DatasetDict` object, but got a `Dataset`. Please use either `datasets.load_from_disk` or `Dataset.load_from_disk` instead." + ) + raise FileNotFoundError( + f"No such file: '{dataset_dict_json_path}'. Expected to load a `DatasetDict` object, but provided path is not a `DatasetDict`." + ) + + with fs.open(dataset_dict_json_path, "r", encoding="utf-8") as f: + splits = json.load(f)["splits"] + + dataset_dict = DatasetDict() + for k in splits: + dataset_dict_split_path = posixpath.join(fs.unstrip_protocol(dataset_dict_path), k) + dataset_dict[k] = Dataset.load_from_disk( + dataset_dict_split_path, + keep_in_memory=keep_in_memory, + storage_options=storage_options, + ) + return dataset_dict + + @staticmethod + def from_csv( + path_or_paths: dict[str, PathLike], + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + **kwargs, + ) -> "DatasetDict": + """Create [`DatasetDict`] from CSV file(s). + + Args: + path_or_paths (`dict` of path-like): + Path(s) of the CSV file(s). + features ([`Features`], *optional*): + Dataset features. + cache_dir (str, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + **kwargs (additional keyword arguments): + Keyword arguments to be passed to [`pandas.read_csv`]. + + Returns: + [`DatasetDict`] + + Example: + + ```py + >>> from datasets import DatasetDict + >>> ds = DatasetDict.from_csv({'train': 'path/to/dataset.csv'}) + ``` + """ + # Dynamic import to avoid circular dependency + from .io.csv import CsvDatasetReader + + return CsvDatasetReader( + path_or_paths, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + **kwargs, + ).read() + + @staticmethod + def from_json( + path_or_paths: dict[str, PathLike], + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + **kwargs, + ) -> "DatasetDict": + """Create [`DatasetDict`] from JSON Lines file(s). + + Args: + path_or_paths (`path-like` or list of `path-like`): + Path(s) of the JSON Lines file(s). + features ([`Features`], *optional*): + Dataset features. + cache_dir (str, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + **kwargs (additional keyword arguments): + Keyword arguments to be passed to [`JsonConfig`]. + + Returns: + [`DatasetDict`] + + Example: + + ```py + >>> from datasets import DatasetDict + >>> ds = DatasetDict.from_json({'train': 'path/to/dataset.json'}) + ``` + """ + # Dynamic import to avoid circular dependency + from .io.json import JsonDatasetReader + + return JsonDatasetReader( + path_or_paths, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + **kwargs, + ).read() + + @staticmethod + def from_parquet( + path_or_paths: dict[str, PathLike], + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + columns: Optional[list[str]] = None, + **kwargs, + ) -> "DatasetDict": + """Create [`DatasetDict`] from Parquet file(s). + + Args: + path_or_paths (`dict` of path-like): + Path(s) of the CSV file(s). + features ([`Features`], *optional*): + Dataset features. + cache_dir (`str`, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + columns (`list[str]`, *optional*): + If not `None`, only these columns will be read from the file. + A column name may be a prefix of a nested field, e.g. 'a' will select + 'a.b', 'a.c', and 'a.d.e'. + **kwargs (additional keyword arguments): + Keyword arguments to be passed to [`ParquetConfig`]. + + Returns: + [`DatasetDict`] + + Example: + + ```py + >>> from datasets import DatasetDict + >>> ds = DatasetDict.from_parquet({'train': 'path/to/dataset/parquet'}) + ``` + """ + # Dynamic import to avoid circular dependency + from .io.parquet import ParquetDatasetReader + + return ParquetDatasetReader( + path_or_paths, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + columns=columns, + **kwargs, + ).read() + + @staticmethod + def from_text( + path_or_paths: dict[str, PathLike], + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + **kwargs, + ) -> "DatasetDict": + """Create [`DatasetDict`] from text file(s). + + Args: + path_or_paths (`dict` of path-like): + Path(s) of the text file(s). + features ([`Features`], *optional*): + Dataset features. + cache_dir (`str`, *optional*, defaults to `"~/.cache/huggingface/datasets"`): + Directory to cache data. + keep_in_memory (`bool`, defaults to `False`): + Whether to copy the data in-memory. + **kwargs (additional keyword arguments): + Keyword arguments to be passed to [`TextConfig`]. + + Returns: + [`DatasetDict`] + + Example: + + ```py + >>> from datasets import DatasetDict + >>> ds = DatasetDict.from_text({'train': 'path/to/dataset.txt'}) + ``` + """ + # Dynamic import to avoid circular dependency + from .io.text import TextDatasetReader + + return TextDatasetReader( + path_or_paths, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + **kwargs, + ).read() + + @is_documented_by(Dataset.align_labels_with_mapping) + def align_labels_with_mapping(self, label2id: dict, label_column: str) -> "DatasetDict": + self._check_values_type() + return DatasetDict( + { + k: dataset.align_labels_with_mapping(label2id=label2id, label_column=label_column) + for k, dataset in self.items() + } + ) + + def push_to_hub( + self, + repo_id, + config_name: str = "default", + set_default: Optional[bool] = None, + data_dir: Optional[str] = None, + commit_message: Optional[str] = None, + commit_description: Optional[str] = None, + private: Optional[bool] = None, + token: Optional[str] = None, + revision: Optional[str] = None, + create_pr: Optional[bool] = False, + max_shard_size: Optional[Union[int, str]] = None, + num_shards: Optional[dict[str, int]] = None, + embed_external_files: bool = True, + ) -> CommitInfo: + """Pushes the [`DatasetDict`] to the hub as a Parquet dataset. + The [`DatasetDict`] is pushed using HTTP requests and does not need to have neither git or git-lfs installed. + + Each dataset split will be pushed independently. The pushed dataset will keep the original split names. + + The resulting Parquet files are self-contained by default: if your dataset contains [`Image`] or [`Audio`] + data, the Parquet files will store the bytes of your images or audio files. + You can disable this by setting `embed_external_files` to False. + + Args: + repo_id (`str`): + The ID of the repository to push to in the following format: `/` or + `/`. Also accepts ``, which will default to the namespace + of the logged-in user. + config_name (`str`): + Configuration name of a dataset. Defaults to "default". + set_default (`bool`, *optional*): + Whether to set this configuration as the default one. Otherwise, the default configuration is the one + named "default". + data_dir (`str`, *optional*): + Directory name that will contain the uploaded data files. Defaults to the `config_name` if different + from "default", else "data". + + + commit_message (`str`, *optional*): + Message to commit while pushing. Will default to `"Upload dataset"`. + commit_description (`str`, *optional*): + Description of the commit that will be created. + Additionally, description of the PR if a PR is created (`create_pr` is True). + + + private (`bool`, *optional*): + Whether to make the repo private. If `None` (default), the repo will be public unless the + organization's default is private. This value is ignored if the repo already exists. + token (`str`, *optional*): + An optional authentication token for the Hugging Face Hub. If no token is passed, will default + to the token saved locally when logging in with `huggingface-cli login`. Will raise an error + if no token is passed and the user is not logged-in. + revision (`str`, *optional*): + Branch to push the uploaded files to. Defaults to the `"main"` branch. + + + create_pr (`bool`, *optional*, defaults to `False`): + Whether to create a PR with the uploaded files or directly commit. + + + max_shard_size (`int` or `str`, *optional*, defaults to `"500MB"`): + The maximum size of the dataset shards to be uploaded to the hub. If expressed as a string, needs to be digits followed by a unit + (like `"500MB"` or `"1GB"`). + num_shards (`Dict[str, int]`, *optional*): + Number of shards to write. By default, the number of shards depends on `max_shard_size`. + Use a dictionary to define a different num_shards for each split. + + + embed_external_files (`bool`, defaults to `True`): + Whether to embed file bytes in the shards. + In particular, this will do the following before the push for the fields of type: + + - [`Audio`] and [`Image`] removes local path information and embed file content in the Parquet files. + + Return: + huggingface_hub.CommitInfo + + Example: + + ```python + >>> dataset_dict.push_to_hub("/") + >>> dataset_dict.push_to_hub("/", private=True) + >>> dataset_dict.push_to_hub("/", max_shard_size="1GB") + >>> dataset_dict.push_to_hub("/", num_shards={"train": 1024, "test": 8}) + ``` + + If you want to add a new configuration (or subset) to a dataset (e.g. if the dataset has multiple tasks/versions/languages): + + ```python + >>> english_dataset.push_to_hub("/", "en") + >>> french_dataset.push_to_hub("/", "fr") + >>> # later + >>> english_dataset = load_dataset("/", "en") + >>> french_dataset = load_dataset("/", "fr") + ``` + """ + if num_shards is None: + num_shards = dict.fromkeys(self) + elif not isinstance(num_shards, dict): + raise ValueError( + "Please provide one `num_shards` per dataset in the dataset dictionary, e.g. {{'train': 128, 'test': 4}}" + ) + + self._check_values_type() + self._check_values_features() + total_uploaded_size = 0 + total_dataset_nbytes = 0 + info_to_dump: DatasetInfo = next(iter(self.values())).info.copy() + info_to_dump.config_name = config_name + info_to_dump.splits = SplitDict() + + for split in self.keys(): + if not re.match(_split_re, split): + raise ValueError(f"Split name should match '{_split_re}' but got '{split}'.") + + api = HfApi(endpoint=config.HF_ENDPOINT, token=token) + + repo_url = api.create_repo( + repo_id, + token=token, + repo_type="dataset", + private=private, + exist_ok=True, + ) + repo_id = repo_url.repo_id + + if revision is not None and not revision.startswith("refs/pr/"): + # We do not call create_branch for a PR reference: 400 Bad Request + api.create_branch( + repo_id, + branch=revision, + token=token, + repo_type="dataset", + exist_ok=True, + ) + + if not data_dir: + data_dir = config_name if config_name != "default" else "data" # for backward compatibility + + additions = [] + for split in self.keys(): + logger.info(f"Pushing split {split} to the Hub.") + # The split=key needs to be removed before merging + split_additions, uploaded_size, dataset_nbytes = self[split]._push_parquet_shards_to_hub( + repo_id, + data_dir=data_dir, + split=split, + token=token, + revision=revision, + create_pr=create_pr, + max_shard_size=max_shard_size, + num_shards=num_shards.get(split), + embed_external_files=embed_external_files, + ) + additions += split_additions + total_uploaded_size += uploaded_size + total_dataset_nbytes += dataset_nbytes + info_to_dump.splits[split] = SplitInfo(str(split), num_bytes=dataset_nbytes, num_examples=len(self[split])) + info_to_dump.download_checksums = None + info_to_dump.download_size = total_uploaded_size + info_to_dump.dataset_size = total_dataset_nbytes + info_to_dump.size_in_bytes = total_uploaded_size + total_dataset_nbytes + + # Check if the repo already has a README.md and/or a dataset_infos.json to update them with the new split info (size and pattern) + # and delete old split shards (if they exist) + repo_with_dataset_card, repo_with_dataset_infos = False, False + repo_splits: list[str] = [] # use a list to keep the order of the splits + deletions: list[CommitOperationDelete] = [] + repo_files_to_add = [addition.path_in_repo for addition in additions] + for repo_file in api.list_repo_tree( + repo_id=repo_id, + revision=revision, + repo_type="dataset", + token=token, + recursive=True, + ): + if not isinstance(repo_file, RepoFile): + continue + if repo_file.rfilename == config.REPOCARD_FILENAME: + repo_with_dataset_card = True + elif repo_file.rfilename == config.DATASETDICT_INFOS_FILENAME: + repo_with_dataset_infos = True + elif ( + repo_file.rfilename.startswith(tuple(f"{data_dir}/{split}-" for split in self.keys())) + and repo_file.rfilename not in repo_files_to_add + ): + deletions.append(CommitOperationDelete(path_in_repo=repo_file.rfilename)) + elif fnmatch.fnmatch( + repo_file.rfilename, + PUSH_TO_HUB_WITHOUT_METADATA_CONFIGS_SPLIT_PATTERN_SHARDED.replace("{split}", "*"), + ): + pattern = glob_pattern_to_regex(PUSH_TO_HUB_WITHOUT_METADATA_CONFIGS_SPLIT_PATTERN_SHARDED) + split_pattern_fields = string_to_dict(repo_file.rfilename, pattern) + assert split_pattern_fields is not None + repo_split = split_pattern_fields["split"] + if repo_split not in repo_splits: + repo_splits.append(repo_split) + + # get the info from the README to update them + if repo_with_dataset_card: + dataset_card_path = api.hf_hub_download( + repo_id, + config.REPOCARD_FILENAME, + repo_type="dataset", + revision=revision, + ) + dataset_card = DatasetCard.load(Path(dataset_card_path)) + dataset_card_data = dataset_card.data + metadata_configs = MetadataConfigs.from_dataset_card_data(dataset_card_data) + # get the deprecated dataset_infos.json to update them + elif repo_with_dataset_infos: + dataset_card = None + dataset_card_data = DatasetCardData() + metadata_configs = MetadataConfigs() + else: + dataset_card = None + dataset_card_data = DatasetCardData() + metadata_configs = MetadataConfigs() + # create the metadata configs if it was uploaded with push_to_hub before metadata configs existed + if not metadata_configs and repo_splits: + default_metadata_configs_to_dump = { + "data_files": [{"split": split, "path": f"data/{split}-*"} for split in repo_splits] + } + MetadataConfigs({"default": default_metadata_configs_to_dump}).to_dataset_card_data(dataset_card_data) + metadata_config_to_dump = { + "data_files": [{"split": split, "path": f"{data_dir}/{split}-*"} for split in self.keys()], + } + if set_default and config_name != "default": + if metadata_configs: + default_config_name = metadata_configs.get_default_config_name() + if default_config_name == "default": + raise ValueError( + "There exists a configuration named 'default'. To set a different configuration as default, " + "rename the 'default' one first." + ) + else: + _ = metadata_configs[default_config_name].pop("default") + metadata_config_to_dump["default"] = True + # push to the deprecated dataset_infos.json + if repo_with_dataset_infos: + dataset_infos_path = api.hf_hub_download( + repo_id, + config.DATASETDICT_INFOS_FILENAME, + repo_type="dataset", + revision=revision, + ) + with open(dataset_infos_path, encoding="utf-8") as f: + dataset_infos: dict = json.load(f) + dataset_infos[config_name] = asdict(info_to_dump) + additions.append( + CommitOperationAdd( + path_in_repo=config.DATASETDICT_INFOS_FILENAME, + path_or_fileobj=json.dumps(dataset_infos, indent=4).encode("utf-8"), + ) + ) + # push to README + DatasetInfosDict({config_name: info_to_dump}).to_dataset_card_data(dataset_card_data) + MetadataConfigs({config_name: metadata_config_to_dump}).to_dataset_card_data(dataset_card_data) + dataset_card = DatasetCard(f"---\n{dataset_card_data}\n---\n") if dataset_card is None else dataset_card + additions.append( + CommitOperationAdd( + path_in_repo=config.REPOCARD_FILENAME, + path_or_fileobj=str(dataset_card).encode(), + ) + ) + + commit_message = commit_message if commit_message is not None else "Upload dataset" + if len(additions) <= config.UPLOADS_MAX_NUMBER_PER_COMMIT: + commit_info = api.create_commit( + repo_id, + operations=additions + deletions, + commit_message=commit_message, + commit_description=commit_description, + token=token, + repo_type="dataset", + revision=revision, + create_pr=create_pr, + ) + else: + logger.info( + f"Number of files to upload is larger than {config.UPLOADS_MAX_NUMBER_PER_COMMIT}. Splitting the push into multiple commits." + ) + num_commits = math.ceil(len(additions) / config.UPLOADS_MAX_NUMBER_PER_COMMIT) + for i in range(0, num_commits): + operations = additions[ + i * config.UPLOADS_MAX_NUMBER_PER_COMMIT : (i + 1) * config.UPLOADS_MAX_NUMBER_PER_COMMIT + ] + (deletions if i == 0 else []) + commit_info = api.create_commit( + repo_id, + operations=operations, + commit_message=commit_message + f" (part {i:05d}-of-{num_commits:05d})", + commit_description=commit_description, + token=token, + repo_type="dataset", + revision=revision, + create_pr=create_pr, + ) + logger.info( + f"Commit #{i + 1} completed" + + (f" (still {num_commits - i - 1} to go)" if num_commits - i - 1 else "") + + "." + ) + return commit_info + + +class IterableDatasetDict(dict): + def __repr__(self): + repr = "\n".join([f"{k}: {v}" for k, v in self.items()]) + repr = re.sub(r"^", " " * 4, repr, 0, re.M) + return f"IterableDatasetDict({{\n{repr}\n}})" + + def with_format( + self, + type: Optional[str] = None, + ) -> "IterableDatasetDict": + """ + Return a dataset with the specified format. + + Args: + + type (`str`, *optional*): + Either output type selected in `[None, 'numpy', 'torch', 'tensorflow', 'jax', 'arrow', 'pandas', 'polars']`. + `None` means it returns python objects (default). + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation", streaming=True) + >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + >>> ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True) + >>> ds = ds.with_format("torch") + >>> next(iter(ds)) + {'text': 'compassionately explores the seemingly irreconcilable situation between conservative christian parents and their estranged gay and lesbian children .', + 'label': tensor(1), + 'input_ids': tensor([ 101, 18027, 16310, 16001, 1103, 9321, 178, 11604, 7235, 6617, + 1742, 2165, 2820, 1206, 6588, 22572, 12937, 1811, 2153, 1105, + 1147, 12890, 19587, 6463, 1105, 15026, 1482, 119, 102, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0]), + 'token_type_ids': tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), + 'attention_mask': tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, + 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])} + ``` + """ + return IterableDatasetDict({k: dataset.with_format(type=type) for k, dataset in self.items()}) + + def map( + self, + function: Optional[Callable] = None, + with_indices: bool = False, + with_split: bool = False, + input_columns: Optional[Union[str, list[str]]] = None, + batched: bool = False, + batch_size: int = 1000, + drop_last_batch: bool = False, + remove_columns: Optional[Union[str, list[str]]] = None, + fn_kwargs: Optional[dict] = None, + ) -> "IterableDatasetDict": + """ + Apply a function to all the examples in the iterable dataset (individually or in batches) and update them. + If your function returns a column that already exists, then it overwrites it. + The function is applied on-the-fly on the examples when iterating over the dataset. + The transformation is applied to all the datasets of the dataset dictionary. + + You can specify whether the function should be batched or not with the `batched` parameter: + + - If batched is `False`, then the function takes 1 example in and should return 1 example. + An example is a dictionary, e.g. `{"text": "Hello there !"}`. + - If batched is `True` and `batch_size` is 1, then the function takes a batch of 1 example as input and can return a batch with 1 or more examples. + A batch is a dictionary, e.g. a batch of 1 example is `{"text": ["Hello there !"]}`. + - If batched is `True` and `batch_size` is `n` > 1, then the function takes a batch of `n` examples as input and can return a batch with `n` examples, or with an arbitrary number of examples. + Note that the last batch may have less than `n` examples. + A batch is a dictionary, e.g. a batch of `n` examples is `{"text": ["Hello there !"] * n}`. + + If the function is asynchronous, then `map` will run your function in parallel, with up to one thousand simulatenous calls. + It is recommended to use a `asyncio.Semaphore` in your function if you want to set a maximum number of operations that can run at the same time. + + Args: + function (`Callable`, *optional*, defaults to `None`): + Function applied on-the-fly on the examples when you iterate on the dataset. + It must have one of the following signatures: + + - `function(example: Dict[str, Any]) -> Dict[str, Any]` if `batched=False` and `with_indices=False` + - `function(example: Dict[str, Any], idx: int) -> Dict[str, Any]` if `batched=False` and `with_indices=True` + - `function(batch: Dict[str, list]) -> Dict[str, list]` if `batched=True` and `with_indices=False` + - `function(batch: Dict[str, list], indices: list[int]) -> Dict[str, list]` if `batched=True` and `with_indices=True` + + For advanced usage, the function can also return a `pyarrow.Table`. + If the function is asynchronous, then `map` will run your function in parallel. + Moreover if your function returns nothing (`None`), then `map` will run your function and return the dataset unchanged. + If no function is provided, default to identity function: `lambda x: x`. + with_indices (`bool`, defaults to `False`): + Provide example indices to `function`. Note that in this case the signature of `function` should be `def function(example, idx[, rank]): ...`. + input_columns (`[Union[str, list[str]]]`, *optional*, defaults to `None`): + The columns to be passed into `function` + as positional arguments. If `None`, a dict mapping to all formatted columns is passed as one argument. + batched (`bool`, defaults to `False`): + Provide batch of examples to `function`. + batch_size (`int`, *optional*, defaults to `1000`): + Number of examples per batch provided to `function` if `batched=True`. + drop_last_batch (`bool`, defaults to `False`): + Whether a last batch smaller than the `batch_size` should be + dropped instead of being processed by the function. + remove_columns (`[list[str]]`, *optional*, defaults to `None`): + Remove a selection of columns while doing the mapping. + Columns will be removed before updating the examples with the output of `function`, i.e. if `function` is adding + columns with names in `remove_columns`, these columns will be kept. + fn_kwargs (`Dict`, *optional*, defaults to `None`): + Keyword arguments to be passed to `function` + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", streaming=True) + >>> def add_prefix(example): + ... example["text"] = "Review: " + example["text"] + ... return example + >>> ds = ds.map(add_prefix) + >>> next(iter(ds["train"])) + {'label': 1, + 'text': 'Review: the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'} + ``` + """ + + dataset_dict = {} + for split, dataset in self.items(): + if with_split: + function = bind(function, split) + + dataset_dict[split] = dataset.map( + function=function, + with_indices=with_indices, + input_columns=input_columns, + batched=batched, + batch_size=batch_size, + drop_last_batch=drop_last_batch, + remove_columns=remove_columns, + fn_kwargs=fn_kwargs, + ) + + if with_split: + function = function.func + + return IterableDatasetDict(dataset_dict) + + def filter( + self, + function: Optional[Callable] = None, + with_indices=False, + input_columns: Optional[Union[str, list[str]]] = None, + batched: bool = False, + batch_size: Optional[int] = 1000, + fn_kwargs: Optional[dict] = None, + ) -> "IterableDatasetDict": + """Apply a filter function to all the elements so that the dataset only includes examples according to the filter function. + The filtering is done on-the-fly when iterating over the dataset. + The filtering is applied to all the datasets of the dataset dictionary. + + Args: + function (`Callable`): + Callable with one of the following signatures: + + - `function(example: Dict[str, Any]) -> bool` if `with_indices=False, batched=False` + - `function(example: Dict[str, Any], indices: int) -> bool` if `with_indices=True, batched=False` + - `function(example: Dict[str, list]) -> list[bool]` if `with_indices=False, batched=True` + - `function(example: Dict[str, list], indices: list[int]) -> list[bool]` if `with_indices=True, batched=True` + + If no function is provided, defaults to an always True function: `lambda x: True`. + with_indices (`bool`, defaults to `False`): + Provide example indices to `function`. Note that in this case the signature of `function` should be `def function(example, idx): ...`. + input_columns (`str` or `list[str]`, *optional*): + The columns to be passed into `function` as + positional arguments. If `None`, a dict mapping to all formatted columns is passed as one argument. + batched (`bool`, defaults to `False`): + Provide batch of examples to `function` + batch_size (`int`, *optional*, defaults to `1000`): + Number of examples per batch provided to `function` if `batched=True`. + fn_kwargs (`Dict`, *optional*, defaults to `None`): + Keyword arguments to be passed to `function` + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", streaming=True) + >>> ds = ds.filter(lambda x: x["label"] == 0) + >>> list(ds["train"].take(3)) + [{'label': 0, 'text': 'Review: simplistic , silly and tedious .'}, + {'label': 0, + 'text': "Review: it's so laddish and juvenile , only teenage boys could possibly find it funny ."}, + {'label': 0, + 'text': 'Review: exploitative and largely devoid of the depth or sophistication that would make watching such a graphic treatment of the crimes bearable .'}] + ``` + """ + return IterableDatasetDict( + { + k: dataset.filter( + function=function, + with_indices=with_indices, + input_columns=input_columns, + batched=batched, + batch_size=batch_size, + fn_kwargs=fn_kwargs, + ) + for k, dataset in self.items() + } + ) + + def shuffle( + self, + seed=None, + generator: Optional[np.random.Generator] = None, + buffer_size: int = 1000, + ) -> "IterableDatasetDict": + """ + Randomly shuffles the elements of this dataset. + The shuffling is applied to all the datasets of the dataset dictionary. + + This dataset fills a buffer with buffer_size elements, then randomly samples elements from this buffer, + replacing the selected elements with new elements. For perfect shuffling, a buffer size greater than or + equal to the full size of the dataset is required. + + For instance, if your dataset contains 10,000 elements but `buffer_size` is set to 1000, then `shuffle` will + initially select a random element from only the first 1000 elements in the buffer. Once an element is + selected, its space in the buffer is replaced by the next (i.e. 1,001-st) element, + maintaining the 1000 element buffer. + + If the dataset is made of several shards, it also does `shuffle` the order of the shards. + However if the order has been fixed by using [`~datasets.IterableDataset.skip`] or [`~datasets.IterableDataset.take`] + then the order of the shards is kept unchanged. + + Args: + seed (`int`, *optional*, defaults to `None`): + Random seed that will be used to shuffle the dataset. + It is used to sample from the shuffle buffer and also to shuffle the data shards. + generator (`numpy.random.Generator`, *optional*): + Numpy random Generator to use to compute the permutation of the dataset rows. + If `generator=None` (default), uses `np.random.default_rng` (the default BitGenerator (PCG64) of NumPy). + buffer_size (`int`, defaults to `1000`): + Size of the buffer. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", streaming=True) + >>> list(ds["train"].take(3)) + [{'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'effective but too-tepid biopic'}] + >>> ds = ds.shuffle(seed=42) + >>> list(ds["train"].take(3)) + [{'label': 1, + 'text': "a sports movie with action that's exciting on the field and a story you care about off it ."}, + {'label': 1, + 'text': 'at its best , the good girl is a refreshingly adult take on adultery . . .'}, + {'label': 1, + 'text': "sam jones became a very lucky filmmaker the day wilco got dropped from their record label , proving that one man's ruin may be another's fortune ."}] + ``` + """ + return IterableDatasetDict( + { + k: dataset.shuffle(seed=seed, generator=generator, buffer_size=buffer_size) + for k, dataset in self.items() + } + ) + + def rename_column(self, original_column_name: str, new_column_name: str) -> "IterableDatasetDict": + """ + Rename a column in the dataset, and move the features associated to the original column under the new column + name. + The renaming is applied to all the datasets of the dataset dictionary. + + Args: + original_column_name (`str`): + Name of the column to rename. + new_column_name (`str`): + New name for the column. + + Returns: + [`IterableDatasetDict`]: A copy of the dataset with a renamed column. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", streaming=True) + >>> ds = ds.rename_column("text", "movie_review") + >>> next(iter(ds["train"])) + {'label': 1, + 'movie_review': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'} + ``` + """ + return IterableDatasetDict( + { + k: dataset.rename_column( + original_column_name=original_column_name, + new_column_name=new_column_name, + ) + for k, dataset in self.items() + } + ) + + def rename_columns(self, column_mapping: dict[str, str]) -> "IterableDatasetDict": + """ + Rename several columns in the dataset, and move the features associated to the original columns under + the new column names. + The renaming is applied to all the datasets of the dataset dictionary. + + Args: + column_mapping (`Dict[str, str]`): + A mapping of columns to rename to their new names. + + Returns: + [`IterableDatasetDict`]: A copy of the dataset with renamed columns + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", streaming=True) + >>> ds = ds.rename_columns({"text": "movie_review", "label": "rating"}) + >>> next(iter(ds["train"])) + {'movie_review': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .', + 'rating': 1} + ``` + """ + return IterableDatasetDict( + {k: dataset.rename_columns(column_mapping=column_mapping) for k, dataset in self.items()} + ) + + def remove_columns(self, column_names: Union[str, list[str]]) -> "IterableDatasetDict": + """ + Remove one or several column(s) in the dataset and the features associated to them. + The removal is done on-the-fly on the examples when iterating over the dataset. + The removal is applied to all the datasets of the dataset dictionary. + + + Args: + column_names (`Union[str, list[str]]`): + Name of the column(s) to remove. + + Returns: + [`IterableDatasetDict`]: A copy of the dataset object without the columns to remove. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", streaming=True) + >>> ds = ds.remove_columns("label") + >>> next(iter(ds["train"])) + {'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'} + ``` + """ + return IterableDatasetDict({k: dataset.remove_columns(column_names) for k, dataset in self.items()}) + + def select_columns(self, column_names: Union[str, list[str]]) -> "IterableDatasetDict": + """Select one or several column(s) in the dataset and the features + associated to them. The selection is done on-the-fly on the examples + when iterating over the dataset. The selection is applied to all the + datasets of the dataset dictionary. + + + Args: + column_names (`Union[str, list[str]]`): + Name of the column(s) to keep. + + Returns: + [`IterableDatasetDict`]: A copy of the dataset object with only selected columns. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", streaming=True) + >>> ds = ds.select("text") + >>> next(iter(ds["train"])) + {'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'} + ``` + """ + return IterableDatasetDict({k: dataset.select_columns(column_names) for k, dataset in self.items()}) + + def cast_column(self, column: str, feature: FeatureType) -> "IterableDatasetDict": + """Cast column to feature for decoding. + The type casting is applied to all the datasets of the dataset dictionary. + + Args: + column (`str`): + Column name. + feature ([`Feature`]): + Target feature. + + Returns: + [`IterableDatasetDict`] + + Example: + + ```py + >>> from datasets import load_dataset, ClassLabel + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", streaming=True) + >>> ds["train"].features + {'label': ClassLabel(names=['neg', 'pos'], id=None), + 'text': Value(dtype='string', id=None)} + >>> ds = ds.cast_column('label', ClassLabel(names=['bad', 'good'])) + >>> ds["train"].features + {'label': ClassLabel(names=['bad', 'good'], id=None), + 'text': Value(dtype='string', id=None)} + ``` + """ + return IterableDatasetDict( + {k: dataset.cast_column(column=column, feature=feature) for k, dataset in self.items()} + ) + + def cast( + self, + features: Features, + ) -> "IterableDatasetDict": + """ + Cast the dataset to a new set of features. + The type casting is applied to all the datasets of the dataset dictionary. + + Args: + features (`Features`): + New features to cast the dataset to. + The name of the fields in the features must match the current column names. + The type of the data must also be convertible from one type to the other. + For non-trivial conversion, e.g. `string` <-> `ClassLabel` you should use [`map`] to update the Dataset. + + Returns: + [`IterableDatasetDict`]: A copy of the dataset with casted features. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", streaming=True) + >>> ds["train"].features + {'label': ClassLabel(names=['neg', 'pos'], id=None), + 'text': Value(dtype='string', id=None)} + >>> new_features = ds["train"].features.copy() + >>> new_features['label'] = ClassLabel(names=['bad', 'good']) + >>> new_features['text'] = Value('large_string') + >>> ds = ds.cast(new_features) + >>> ds["train"].features + {'label': ClassLabel(names=['bad', 'good'], id=None), + 'text': Value(dtype='large_string', id=None)} + ``` + """ + return IterableDatasetDict({k: dataset.cast(features=features) for k, dataset in self.items()}) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/distributed.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/distributed.py new file mode 100644 index 0000000000000000000000000000000000000000..4697948f342a81d489084b068758327156a89b8b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/distributed.py @@ -0,0 +1,39 @@ +from typing import TypeVar + +from .arrow_dataset import Dataset, _split_by_node_map_style_dataset +from .iterable_dataset import IterableDataset, _split_by_node_iterable_dataset + + +DatasetType = TypeVar("DatasetType", Dataset, IterableDataset) + + +def split_dataset_by_node(dataset: DatasetType, rank: int, world_size: int) -> DatasetType: + """ + Split a dataset for the node at rank `rank` in a pool of nodes of size `world_size`. + + For map-style datasets: + + Each node is assigned a chunk of data, e.g. rank 0 is given the first chunk of the dataset. + To maximize data loading throughput, chunks are made of contiguous data on disk if possible. + + For iterable datasets: + + If the dataset has a number of shards that is a factor of `world_size` (i.e. if `dataset.num_shards % world_size == 0`), + then the shards are evenly assigned across the nodes, which is the most optimized. + Otherwise, each node keeps 1 example out of `world_size`, skipping the other examples. + + Args: + dataset ([`Dataset`] or [`IterableDataset`]): + The dataset to split by node. + rank (`int`): + Rank of the current node. + world_size (`int`): + Total number of nodes. + + Returns: + [`Dataset`] or [`IterableDataset`]: The dataset to be used on the node at rank `rank`. + """ + if isinstance(dataset, Dataset): + return _split_by_node_map_style_dataset(dataset, rank=rank, world_size=world_size) + else: + return _split_by_node_iterable_dataset(dataset, rank=rank, world_size=world_size) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..8ae0d436504dc2e609b0ca8851509c72a161dbde --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/__init__.py @@ -0,0 +1,10 @@ +__all__ = [ + "DownloadConfig", + "DownloadManager", + "DownloadMode", + "StreamingDownloadManager", +] + +from .download_config import DownloadConfig +from .download_manager import DownloadManager, DownloadMode +from .streaming_download_manager import StreamingDownloadManager diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/download_config.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/download_config.py new file mode 100644 index 0000000000000000000000000000000000000000..b9e539fb0536105c3bc04680aca81b7d5bdd4e15 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/download_config.py @@ -0,0 +1,81 @@ +import copy +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any, Optional, Union + +from .. import config + + +@dataclass +class DownloadConfig: + """Configuration for our cached path manager. + + Attributes: + cache_dir (`str` or `Path`, *optional*): + Specify a cache directory to save the file to (overwrite the + default cache dir). + force_download (`bool`, defaults to `False`): + If `True`, re-download the file even if it's already cached in + the cache dir. + resume_download (`bool`, defaults to `False`): + If `True`, resume the download if an incompletely received file is + found. + proxies (`dict`, *optional*): + user_agent (`str`, *optional*): + Optional string or dict that will be appended to the user-agent on remote + requests. + extract_compressed_file (`bool`, defaults to `False`): + If `True` and the path point to a zip or tar file, + extract the compressed file in a folder along the archive. + force_extract (`bool`, defaults to `False`): + If `True` when `extract_compressed_file` is `True` and the archive + was already extracted, re-extract the archive and override the folder where it was extracted. + delete_extracted (`bool`, defaults to `False`): + Whether to delete (or keep) the extracted files. + extract_on_the_fly (`bool`, defaults to `False`): + If `True`, extract compressed files while they are being read. + use_etag (`bool`, defaults to `True`): + Whether to use the ETag HTTP response header to validate the cached files. + num_proc (`int`, *optional*): + The number of processes to launch to download the files in parallel. + max_retries (`int`, default to `1`): + The number of times to retry an HTTP request if it fails. + token (`str` or `bool`, *optional*): + Optional string or boolean to use as Bearer token + for remote files on the Datasets Hub. If `True`, or not specified, will get token from `~/.huggingface`. + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the dataset file-system backend, if any. + download_desc (`str`, *optional*): + A description to be displayed alongside with the progress bar while downloading the files. + disable_tqdm (`bool`, defaults to `False`): + Whether to disable the individual files download progress bar + """ + + cache_dir: Optional[Union[str, Path]] = None + force_download: bool = False + resume_download: bool = False + local_files_only: bool = False + proxies: Optional[dict] = None + user_agent: Optional[str] = None + extract_compressed_file: bool = False + force_extract: bool = False + delete_extracted: bool = False + extract_on_the_fly: bool = False + use_etag: bool = True + num_proc: Optional[int] = None + max_retries: int = 1 + token: Optional[Union[str, bool]] = None + storage_options: dict[str, Any] = field(default_factory=dict) + download_desc: Optional[str] = None + disable_tqdm: bool = False + + def copy(self) -> "DownloadConfig": + return self.__class__(**{k: copy.deepcopy(v) for k, v in self.__dict__.items()}) + + def __setattr__(self, name, value): + if name == "token" and getattr(self, "storage_options", None) is not None: + if "hf" not in self.storage_options: + self.storage_options["hf"] = {"token": value, "endpoint": config.HF_ENDPOINT} + elif getattr(self.storage_options["hf"], "token", None) is None: + self.storage_options["hf"]["token"] = value + super().__setattr__(name, value) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/download_manager.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/download_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..b6ee1d28e2b3dd203d62d27137861b33651324db --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/download_manager.py @@ -0,0 +1,340 @@ +# Copyright 2020 The TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""Download manager interface.""" + +import enum +import io +import multiprocessing +import os +from datetime import datetime +from functools import partial +from typing import Optional, Union + +import fsspec +from fsspec.core import url_to_fs +from tqdm.contrib.concurrent import thread_map + +from .. import config +from ..utils import tqdm as hf_tqdm +from ..utils.file_utils import ( + ArchiveIterable, + FilesIterable, + cached_path, + is_relative_path, + stack_multiprocessing_download_progress_bars, + url_or_path_join, +) +from ..utils.info_utils import get_size_checksum_dict +from ..utils.logging import get_logger, tqdm +from ..utils.py_utils import NestedDataStructure, map_nested +from ..utils.track import tracked_str +from .download_config import DownloadConfig + + +logger = get_logger(__name__) + + +class DownloadMode(enum.Enum): + """`Enum` for how to treat pre-existing downloads and data. + + The default mode is `REUSE_DATASET_IF_EXISTS`, which will reuse both + raw downloads and the prepared dataset if they exist. + + The generations modes: + + | | Downloads | Dataset | + |-------------------------------------|-----------|---------| + | `REUSE_DATASET_IF_EXISTS` (default) | Reuse | Reuse | + | `REUSE_CACHE_IF_EXISTS` | Reuse | Fresh | + | `FORCE_REDOWNLOAD` | Fresh | Fresh | + + """ + + REUSE_DATASET_IF_EXISTS = "reuse_dataset_if_exists" + REUSE_CACHE_IF_EXISTS = "reuse_cache_if_exists" + FORCE_REDOWNLOAD = "force_redownload" + + +class DownloadManager: + is_streaming = False + + def __init__( + self, + dataset_name: Optional[str] = None, + data_dir: Optional[str] = None, + download_config: Optional[DownloadConfig] = None, + base_path: Optional[str] = None, + record_checksums=True, + ): + """Download manager constructor. + + Args: + data_dir: + can be used to specify a manual directory to get the files from. + dataset_name (`str`): + name of dataset this instance will be used for. If + provided, downloads will contain which datasets they were used for. + download_config (`DownloadConfig`): + to specify the cache directory and other + download options + base_path (`str`): + base path that is used when relative paths are used to + download files. This can be a remote url. + record_checksums (`bool`, defaults to `True`): + Whether to record the checksums of the downloaded files. If None, the value is inferred from the builder. + """ + self._dataset_name = dataset_name + self._data_dir = data_dir + self._base_path = base_path or os.path.abspath(".") + # To record what is being used: {url: {num_bytes: int, checksum: str}} + self._recorded_sizes_checksums: dict[str, dict[str, Optional[Union[int, str]]]] = {} + self.record_checksums = record_checksums + self.download_config = download_config or DownloadConfig() + self.downloaded_paths = {} + self.extracted_paths = {} + + @property + def manual_dir(self): + return self._data_dir + + @property + def downloaded_size(self): + """Returns the total size of downloaded files.""" + return sum(checksums_dict["num_bytes"] for checksums_dict in self._recorded_sizes_checksums.values()) + + def _record_sizes_checksums(self, url_or_urls: NestedDataStructure, downloaded_path_or_paths: NestedDataStructure): + """Record size/checksum of downloaded files.""" + delay = 5 + for url, path in hf_tqdm( + list(zip(url_or_urls.flatten(), downloaded_path_or_paths.flatten())), + delay=delay, + desc="Computing checksums", + ): + # call str to support PathLike objects + self._recorded_sizes_checksums[str(url)] = get_size_checksum_dict( + path, record_checksum=self.record_checksums + ) + + def download(self, url_or_urls): + """Download given URL(s). + + By default, only one process is used for download. Pass customized `download_config.num_proc` to change this behavior. + + Args: + url_or_urls (`str` or `list` or `dict`): + URL or `list` or `dict` of URLs to download. Each URL is a `str`. + + Returns: + `str` or `list` or `dict`: + The downloaded paths matching the given input `url_or_urls`. + + Example: + + ```py + >>> downloaded_files = dl_manager.download('https://storage.googleapis.com/seldon-datasets/sentence_polarity_v1/rt-polaritydata.tar.gz') + ``` + """ + download_config = self.download_config.copy() + download_config.extract_compressed_file = False + if download_config.download_desc is None: + download_config.download_desc = "Downloading data" + + download_func = partial(self._download_batched, download_config=download_config) + + start_time = datetime.now() + with stack_multiprocessing_download_progress_bars(): + downloaded_path_or_paths = map_nested( + download_func, + url_or_urls, + map_tuple=True, + num_proc=download_config.num_proc, + desc="Downloading data files", + batched=True, + batch_size=-1, + ) + duration = datetime.now() - start_time + logger.info(f"Downloading took {duration.total_seconds() // 60} min") + url_or_urls = NestedDataStructure(url_or_urls) + downloaded_path_or_paths = NestedDataStructure(downloaded_path_or_paths) + self.downloaded_paths.update(dict(zip(url_or_urls.flatten(), downloaded_path_or_paths.flatten()))) + + start_time = datetime.now() + self._record_sizes_checksums(url_or_urls, downloaded_path_or_paths) + duration = datetime.now() - start_time + logger.info(f"Checksum Computation took {duration.total_seconds() // 60} min") + + return downloaded_path_or_paths.data + + def _download_batched( + self, + url_or_filenames: list[str], + download_config: DownloadConfig, + ) -> list[str]: + if len(url_or_filenames) >= 16: + download_config = download_config.copy() + download_config.disable_tqdm = True + download_func = partial(self._download_single, download_config=download_config) + + fs: fsspec.AbstractFileSystem + path = str(url_or_filenames[0]) + if is_relative_path(path): + # append the relative path to the base_path + path = url_or_path_join(self._base_path, path) + fs, path = url_to_fs(path, **download_config.storage_options) + size = 0 + try: + size = fs.info(path).get("size", 0) + except Exception: + pass + max_workers = ( + config.HF_DATASETS_MULTITHREADING_MAX_WORKERS if size < (20 << 20) else 1 + ) # enable multithreading if files are small + + return thread_map( + download_func, + url_or_filenames, + desc=download_config.download_desc or "Downloading", + unit="files", + position=multiprocessing.current_process()._identity[-1] # contains the ranks of subprocesses + if os.environ.get("HF_DATASETS_STACK_MULTIPROCESSING_DOWNLOAD_PROGRESS_BARS") == "1" + and multiprocessing.current_process()._identity + else None, + max_workers=max_workers, + tqdm_class=tqdm, + ) + else: + return [ + self._download_single(url_or_filename, download_config=download_config) + for url_or_filename in url_or_filenames + ] + + def _download_single(self, url_or_filename: str, download_config: DownloadConfig) -> str: + url_or_filename = str(url_or_filename) + if is_relative_path(url_or_filename): + # append the relative path to the base_path + url_or_filename = url_or_path_join(self._base_path, url_or_filename) + out = cached_path(url_or_filename, download_config=download_config) + out = tracked_str(out) + out.set_origin(url_or_filename) + return out + + def iter_archive(self, path_or_buf: Union[str, io.BufferedReader]): + """Iterate over files within an archive. + + Args: + path_or_buf (`str` or `io.BufferedReader`): + Archive path or archive binary file object. + + Yields: + `tuple[str, io.BufferedReader]`: + 2-tuple (path_within_archive, file_object). + File object is opened in binary mode. + + Example: + + ```py + >>> archive = dl_manager.download('https://storage.googleapis.com/seldon-datasets/sentence_polarity_v1/rt-polaritydata.tar.gz') + >>> files = dl_manager.iter_archive(archive) + ``` + """ + + if hasattr(path_or_buf, "read"): + return ArchiveIterable.from_buf(path_or_buf) + else: + return ArchiveIterable.from_urlpath(path_or_buf) + + def iter_files(self, paths: Union[str, list[str]]): + """Iterate over file paths. + + Args: + paths (`str` or `list` of `str`): + Root paths. + + Yields: + `str`: File path. + + Example: + + ```py + >>> files = dl_manager.download_and_extract('https://huggingface.co/datasets/beans/resolve/main/data/train.zip') + >>> files = dl_manager.iter_files(files) + ``` + """ + return FilesIterable.from_urlpaths(paths) + + def extract(self, path_or_paths): + """Extract given path(s). + + Args: + path_or_paths (path or `list` or `dict`): + Path of file to extract. Each path is a `str`. + + Returns: + extracted_path(s): `str`, The extracted paths matching the given input + path_or_paths. + + Example: + + ```py + >>> downloaded_files = dl_manager.download('https://storage.googleapis.com/seldon-datasets/sentence_polarity_v1/rt-polaritydata.tar.gz') + >>> extracted_files = dl_manager.extract(downloaded_files) + ``` + """ + download_config = self.download_config.copy() + download_config.extract_compressed_file = True + extract_func = partial(self._download_single, download_config=download_config) + extracted_paths = map_nested( + extract_func, + path_or_paths, + num_proc=download_config.num_proc, + desc="Extracting data files", + ) + path_or_paths = NestedDataStructure(path_or_paths) + extracted_paths = NestedDataStructure(extracted_paths) + self.extracted_paths.update(dict(zip(path_or_paths.flatten(), extracted_paths.flatten()))) + return extracted_paths.data + + def download_and_extract(self, url_or_urls): + """Download and extract given `url_or_urls`. + + Is roughly equivalent to: + + ``` + extracted_paths = dl_manager.extract(dl_manager.download(url_or_urls)) + ``` + + Args: + url_or_urls (`str` or `list` or `dict`): + URL or `list` or `dict` of URLs to download and extract. Each URL is a `str`. + + Returns: + extracted_path(s): `str`, extracted paths of given URL(s). + """ + return self.extract(self.download(url_or_urls)) + + def get_recorded_sizes_checksums(self): + return self._recorded_sizes_checksums.copy() + + def delete_extracted_files(self): + paths_to_delete = set(self.extracted_paths.values()) - set(self.downloaded_paths.values()) + for key, path in list(self.extracted_paths.items()): + if path in paths_to_delete and os.path.isfile(path): + os.remove(path) + del self.extracted_paths[key] + + def manage_extracted_files(self): + if self.download_config.delete_extracted: + self.delete_extracted_files() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/streaming_download_manager.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/streaming_download_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..ff2dc1a64bd95616ca78f515e0ee2f14becfc5f6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/download/streaming_download_manager.py @@ -0,0 +1,219 @@ +import io +import os +from collections.abc import Iterable +from typing import Optional, Union + +from ..utils.file_utils import ( # noqa: F401 # backward compatibility + SINGLE_FILE_COMPRESSION_PROTOCOLS, + ArchiveIterable, + FilesIterable, + _get_extraction_protocol, + _get_path_extension, + _prepare_path_and_storage_options, + is_relative_path, + url_or_path_join, + xbasename, + xdirname, + xet_parse, + xexists, + xgetsize, + xglob, + xgzip_open, + xisdir, + xisfile, + xjoin, + xlistdir, + xnumpy_load, + xopen, + xpandas_read_csv, + xpandas_read_excel, + xPath, + xpyarrow_parquet_read_table, + xrelpath, + xsio_loadmat, + xsplit, + xsplitext, + xwalk, + xxml_dom_minidom_parse, +) +from ..utils.logging import get_logger +from ..utils.py_utils import map_nested +from .download_config import DownloadConfig + + +logger = get_logger(__name__) + + +class StreamingDownloadManager: + """ + Download manager that uses the "::" separator to navigate through (possibly remote) compressed archives. + Contrary to the regular `DownloadManager`, the `download` and `extract` methods don't actually download nor extract + data, but they rather return the path or url that could be opened using the `xopen` function which extends the + built-in `open` function to stream data from remote files. + """ + + is_streaming = True + + def __init__( + self, + dataset_name: Optional[str] = None, + data_dir: Optional[str] = None, + download_config: Optional[DownloadConfig] = None, + base_path: Optional[str] = None, + ): + self._dataset_name = dataset_name + self._data_dir = data_dir + self._base_path = base_path or os.path.abspath(".") + self.download_config = download_config or DownloadConfig() + self.downloaded_size = None + self.record_checksums = False + + @property + def manual_dir(self): + return self._data_dir + + def download(self, url_or_urls): + """Normalize URL(s) of files to stream data from. + This is the lazy version of `DownloadManager.download` for streaming. + + Args: + url_or_urls (`str` or `list` or `dict`): + URL(s) of files to stream data from. Each url is a `str`. + + Returns: + url(s): (`str` or `list` or `dict`), URL(s) to stream data from matching the given input url_or_urls. + + Example: + + ```py + >>> downloaded_files = dl_manager.download('https://storage.googleapis.com/seldon-datasets/sentence_polarity_v1/rt-polaritydata.tar.gz') + ``` + """ + url_or_urls = map_nested(self._download_single, url_or_urls, map_tuple=True) + return url_or_urls + + def _download_single(self, urlpath: str) -> str: + urlpath = str(urlpath) + if is_relative_path(urlpath): + # append the relative path to the base_path + urlpath = url_or_path_join(self._base_path, urlpath) + return urlpath + + def extract(self, url_or_urls): + """Add extraction protocol for given url(s) for streaming. + + This is the lazy version of `DownloadManager.extract` for streaming. + + Args: + url_or_urls (`str` or `list` or `dict`): + URL(s) of files to stream data from. Each url is a `str`. + + Returns: + url(s): (`str` or `list` or `dict`), URL(s) to stream data from matching the given input `url_or_urls`. + + Example: + + ```py + >>> downloaded_files = dl_manager.download('https://storage.googleapis.com/seldon-datasets/sentence_polarity_v1/rt-polaritydata.tar.gz') + >>> extracted_files = dl_manager.extract(downloaded_files) + ``` + """ + urlpaths = map_nested(self._extract, url_or_urls, map_tuple=True) + return urlpaths + + def _extract(self, urlpath: str) -> str: + urlpath = str(urlpath) + protocol = _get_extraction_protocol(urlpath, download_config=self.download_config) + # get inner file: zip://train-00000.json.gz::https://foo.bar/data.zip -> zip://train-00000.json.gz + path = urlpath.split("::")[0] + extension = _get_path_extension(path) + if extension in ["tgz", "tar"] or path.endswith((".tar.gz", ".tar.bz2", ".tar.xz")): + raise NotImplementedError( + f"Extraction protocol for TAR archives like '{urlpath}' is not implemented in streaming mode. " + f"Please use `dl_manager.iter_archive` instead.\n\n" + f"Example usage:\n\n" + f"\turl = dl_manager.download(url)\n" + f"\ttar_archive_iterator = dl_manager.iter_archive(url)\n\n" + f"\tfor filename, file in tar_archive_iterator:\n" + f"\t\t..." + ) + if protocol is None: + # no extraction + return urlpath + elif protocol in SINGLE_FILE_COMPRESSION_PROTOCOLS: + # there is one single file which is the uncompressed file + inner_file = os.path.basename(urlpath.split("::")[0]) + inner_file = inner_file[: inner_file.rindex(".")] if "." in inner_file else inner_file + return f"{protocol}://{inner_file}::{urlpath}" + else: + return f"{protocol}://::{urlpath}" + + def download_and_extract(self, url_or_urls): + """Prepare given `url_or_urls` for streaming (add extraction protocol). + + This is the lazy version of `DownloadManager.download_and_extract` for streaming. + + Is equivalent to: + + ``` + urls = dl_manager.extract(dl_manager.download(url_or_urls)) + ``` + + Args: + url_or_urls (`str` or `list` or `dict`): + URL(s) to stream from data from. Each url is a `str`. + + Returns: + url(s): (`str` or `list` or `dict`), URL(s) to stream data from matching the given input `url_or_urls`. + """ + return self.extract(self.download(url_or_urls)) + + def iter_archive(self, urlpath_or_buf: Union[str, io.BufferedReader]) -> Iterable[tuple]: + """Iterate over files within an archive. + + Args: + urlpath_or_buf (`str` or `io.BufferedReader`): + Archive path or archive binary file object. + + Yields: + `tuple[str, io.BufferedReader]`: + 2-tuple (path_within_archive, file_object). + File object is opened in binary mode. + + Example: + + ```py + >>> archive = dl_manager.download('https://storage.googleapis.com/seldon-datasets/sentence_polarity_v1/rt-polaritydata.tar.gz') + >>> files = dl_manager.iter_archive(archive) + ``` + """ + + if hasattr(urlpath_or_buf, "read"): + return ArchiveIterable.from_buf(urlpath_or_buf) + else: + return ArchiveIterable.from_urlpath(urlpath_or_buf, download_config=self.download_config) + + def iter_files(self, urlpaths: Union[str, list[str]]) -> Iterable[str]: + """Iterate over files. + + Args: + urlpaths (`str` or `list` of `str`): + Root paths. + + Yields: + str: File URL path. + + Example: + + ```py + >>> files = dl_manager.download_and_extract('https://huggingface.co/datasets/beans/resolve/main/data/train.zip') + >>> files = dl_manager.iter_files(files) + ``` + """ + return FilesIterable.from_urlpaths(urlpaths, download_config=self.download_config) + + def manage_extracted_files(self): + pass + + def get_recorded_sizes_checksums(self): + pass diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/exceptions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..7c1724fb572dc98a2b65ad07f0a1a08c5d2a32e5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/exceptions.py @@ -0,0 +1,119 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2023 The HuggingFace Authors. +from typing import Any, Optional, Union + +from huggingface_hub import HfFileSystem + +from . import config +from .table import CastError +from .utils.track import TrackedIterableFromGenerator, tracked_list, tracked_str + + +class DatasetsError(Exception): + """Base class for exceptions in this library.""" + + +class DefunctDatasetError(DatasetsError): + """The dataset has been defunct.""" + + +class FileNotFoundDatasetsError(DatasetsError, FileNotFoundError): + """FileNotFoundError raised by this library.""" + + +class DataFilesNotFoundError(FileNotFoundDatasetsError): + """No (supported) data files found.""" + + +class DatasetNotFoundError(FileNotFoundDatasetsError): + """Dataset not found. + + Raised when trying to access: + - a missing dataset, or + - a private/gated dataset and the user is not authenticated. + """ + + +class DatasetBuildError(DatasetsError): + pass + + +class ManualDownloadError(DatasetBuildError): + pass + + +class FileFormatError(DatasetBuildError): + pass + + +class DatasetGenerationError(DatasetBuildError): + pass + + +class DatasetGenerationCastError(DatasetGenerationError): + @classmethod + def from_cast_error( + cls, + cast_error: CastError, + builder_name: str, + gen_kwargs: dict[str, Any], + token: Optional[Union[bool, str]], + ) -> "DatasetGenerationCastError": + explanation_message = ( + f"\n\nAll the data files must have the same columns, but at some point {cast_error.details()}" + ) + formatted_tracked_gen_kwargs: list[str] = [] + for gen_kwarg in gen_kwargs.values(): + if not isinstance(gen_kwarg, (tracked_str, tracked_list, TrackedIterableFromGenerator)): + continue + while ( + isinstance(gen_kwarg, (tracked_list, TrackedIterableFromGenerator)) and gen_kwarg.last_item is not None + ): + gen_kwarg = gen_kwarg.last_item + if isinstance(gen_kwarg, tracked_str): + gen_kwarg = gen_kwarg.get_origin() + if isinstance(gen_kwarg, str) and gen_kwarg.startswith("hf://"): + resolved_path = HfFileSystem(endpoint=config.HF_ENDPOINT, token=token).resolve_path(gen_kwarg) + gen_kwarg = "hf://" + resolved_path.unresolve() + if "@" + resolved_path.revision in gen_kwarg: + gen_kwarg = ( + gen_kwarg.replace("@" + resolved_path.revision, "", 1) + + f" (at revision {resolved_path.revision})" + ) + formatted_tracked_gen_kwargs.append(str(gen_kwarg)) + if formatted_tracked_gen_kwargs: + explanation_message += f"\n\nThis happened while the {builder_name} dataset builder was generating data using\n\n{', '.join(formatted_tracked_gen_kwargs)}" + help_message = "\n\nPlease either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)" + return cls("An error occurred while generating the dataset" + explanation_message + help_message) + + +class ChecksumVerificationError(DatasetsError): + """Error raised during checksums verifications of downloaded files.""" + + +class UnexpectedDownloadedFileError(ChecksumVerificationError): + """Some downloaded files were not expected.""" + + +class ExpectedMoreDownloadedFilesError(ChecksumVerificationError): + """Some files were supposed to be downloaded but were not.""" + + +class NonMatchingChecksumError(ChecksumVerificationError): + """The downloaded file checksum don't match the expected checksum.""" + + +class SplitsVerificationError(DatasetsError): + """Error raised during splits verifications.""" + + +class UnexpectedSplitsError(SplitsVerificationError): + """The expected splits of the downloaded file is missing.""" + + +class ExpectedMoreSplitsError(SplitsVerificationError): + """Some recorded splits are missing.""" + + +class NonMatchingSplitsSizesError(SplitsVerificationError): + """The splits sizes don't match the expected splits sizes.""" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..95bb1cf108066e702965191fbf781a0b47e7fb55 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/__init__.py @@ -0,0 +1,23 @@ +__all__ = [ + "Audio", + "Array2D", + "Array3D", + "Array4D", + "Array5D", + "ClassLabel", + "Features", + "LargeList", + "Sequence", + "Value", + "Image", + "Translation", + "TranslationVariableLanguages", + "Video", + "Pdf", +] +from .audio import Audio +from .features import Array2D, Array3D, Array4D, Array5D, ClassLabel, Features, LargeList, Sequence, Value +from .image import Image +from .pdf import Pdf +from .translation import Translation, TranslationVariableLanguages +from .video import Video diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/audio.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/audio.py new file mode 100644 index 0000000000000000000000000000000000000000..82c2e7f1f469897f85ad97a59c7f5a83bbefd3e3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/audio.py @@ -0,0 +1,274 @@ +import os +from dataclasses import dataclass, field +from io import BytesIO +from typing import TYPE_CHECKING, Any, ClassVar, Optional, Union + +import numpy as np +import pyarrow as pa + +from .. import config +from ..download.download_config import DownloadConfig +from ..table import array_cast +from ..utils.file_utils import xopen, xsplitext +from ..utils.py_utils import no_op_if_value_is_null, string_to_dict + + +if TYPE_CHECKING: + from .features import FeatureType + + +@dataclass +class Audio: + """Audio [`Feature`] to extract audio data from an audio file. + + Input: The Audio feature accepts as input: + - A `str`: Absolute path to the audio file (i.e. random access is allowed). + - A `dict` with the keys: + + - `path`: String with relative path of the audio file to the archive file. + - `bytes`: Bytes content of the audio file. + + This is useful for archived files with sequential access. + + - A `dict` with the keys: + + - `path`: String with relative path of the audio file to the archive file. + - `array`: Array containing the audio sample + - `sampling_rate`: Integer corresponding to the sampling rate of the audio sample. + + This is useful for archived files with sequential access. + + Args: + sampling_rate (`int`, *optional*): + Target sampling rate. If `None`, the native sampling rate is used. + mono (`bool`, defaults to `True`): + Whether to convert the audio signal to mono by averaging samples across + channels. + decode (`bool`, defaults to `True`): + Whether to decode the audio data. If `False`, + returns the underlying dictionary in the format `{"path": audio_path, "bytes": audio_bytes}`. + + Example: + + ```py + >>> from datasets import load_dataset, Audio + >>> ds = load_dataset("PolyAI/minds14", name="en-US", split="train") + >>> ds = ds.cast_column("audio", Audio(sampling_rate=16000)) + >>> ds[0]["audio"] + {'array': array([ 2.3443763e-05, 2.1729663e-04, 2.2145823e-04, ..., + 3.8356509e-05, -7.3497440e-06, -2.1754686e-05], dtype=float32), + 'path': '/root/.cache/huggingface/datasets/downloads/extracted/f14948e0e84be638dd7943ac36518a4cf3324e8b7aa331c5ab11541518e9368c/en-US~JOINT_ACCOUNT/602ba55abb1e6d0fbce92065.wav', + 'sampling_rate': 16000} + ``` + """ + + sampling_rate: Optional[int] = None + mono: bool = True + decode: bool = True + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "dict" + pa_type: ClassVar[Any] = pa.struct({"bytes": pa.binary(), "path": pa.string()}) + _type: str = field(default="Audio", init=False, repr=False) + + def __call__(self): + return self.pa_type + + def encode_example(self, value: Union[str, bytes, bytearray, dict]) -> dict: + """Encode example into a format for Arrow. + + Args: + value (`str` or `dict`): + Data passed as input to Audio feature. + + Returns: + `dict` + """ + try: + import soundfile as sf # soundfile is a dependency of librosa, needed to decode audio files. + except ImportError as err: + raise ImportError("To support encoding audio data, please install 'soundfile'.") from err + if isinstance(value, str): + return {"bytes": None, "path": value} + elif isinstance(value, (bytes, bytearray)): + return {"bytes": value, "path": None} + elif "array" in value: + # convert the audio array to wav bytes + buffer = BytesIO() + sf.write(buffer, value["array"], value["sampling_rate"], format="wav") + return {"bytes": buffer.getvalue(), "path": None} + elif value.get("path") is not None and os.path.isfile(value["path"]): + # we set "bytes": None to not duplicate the data if they're already available locally + if value["path"].endswith("pcm"): + # "PCM" only has raw audio bytes + if value.get("sampling_rate") is None: + # At least, If you want to convert "PCM-byte" to "WAV-byte", you have to know sampling rate + raise KeyError("To use PCM files, please specify a 'sampling_rate' in Audio object") + if value.get("bytes"): + # If we already had PCM-byte, we don`t have to make "read file, make bytes" (just use it!) + bytes_value = np.frombuffer(value["bytes"], dtype=np.int16).astype(np.float32) / 32767 + else: + bytes_value = np.memmap(value["path"], dtype="h", mode="r").astype(np.float32) / 32767 + + buffer = BytesIO(b"") + sf.write(buffer, bytes_value, value["sampling_rate"], format="wav") + return {"bytes": buffer.getvalue(), "path": None} + else: + return {"bytes": None, "path": value.get("path")} + elif value.get("bytes") is not None or value.get("path") is not None: + # store the audio bytes, and path is used to infer the audio format using the file extension + return {"bytes": value.get("bytes"), "path": value.get("path")} + else: + raise ValueError( + f"An audio sample should have one of 'path' or 'bytes' but they are missing or None in {value}." + ) + + def decode_example( + self, value: dict, token_per_repo_id: Optional[dict[str, Union[str, bool, None]]] = None + ) -> dict: + """Decode example audio file into audio data. + + Args: + value (`dict`): + A dictionary with keys: + + - `path`: String with relative audio file path. + - `bytes`: Bytes of the audio file. + token_per_repo_id (`dict`, *optional*): + To access and decode + audio files from private repositories on the Hub, you can pass + a dictionary repo_id (`str`) -> token (`bool` or `str`) + + Returns: + `dict` + """ + if not self.decode: + raise RuntimeError("Decoding is disabled for this feature. Please use Audio(decode=True) instead.") + + path, file = (value["path"], BytesIO(value["bytes"])) if value["bytes"] is not None else (value["path"], None) + if path is None and file is None: + raise ValueError(f"An audio sample should have one of 'path' or 'bytes' but both are None in {value}.") + + try: + import librosa + import soundfile as sf + except ImportError as err: + raise ImportError("To support decoding audio files, please install 'librosa' and 'soundfile'.") from err + + audio_format = xsplitext(path)[1][1:].lower() if path is not None else None + if not config.IS_OPUS_SUPPORTED and audio_format == "opus": + raise RuntimeError( + "Decoding 'opus' files requires system library 'libsndfile'>=1.0.31, " + 'You can try to update `soundfile` python library: `pip install "soundfile>=0.12.1"`. ' + ) + elif not config.IS_MP3_SUPPORTED and audio_format == "mp3": + raise RuntimeError( + "Decoding 'mp3' files requires system library 'libsndfile'>=1.1.0, " + 'You can try to update `soundfile` python library: `pip install "soundfile>=0.12.1"`. ' + ) + + if file is None: + token_per_repo_id = token_per_repo_id or {} + source_url = path.split("::")[-1] + pattern = ( + config.HUB_DATASETS_URL if source_url.startswith(config.HF_ENDPOINT) else config.HUB_DATASETS_HFFS_URL + ) + source_url_fields = string_to_dict(source_url, pattern) + token = token_per_repo_id.get(source_url_fields["repo_id"]) if source_url_fields is not None else None + + download_config = DownloadConfig(token=token) + with xopen(path, "rb", download_config=download_config) as f: + array, sampling_rate = sf.read(f) + + else: + array, sampling_rate = sf.read(file) + + array = array.T + if self.mono: + array = librosa.to_mono(array) + if self.sampling_rate and self.sampling_rate != sampling_rate: + array = librosa.resample(array, orig_sr=sampling_rate, target_sr=self.sampling_rate) + sampling_rate = self.sampling_rate + + return {"path": path, "array": array, "sampling_rate": sampling_rate} + + def flatten(self) -> Union["FeatureType", dict[str, "FeatureType"]]: + """If in the decodable state, raise an error, otherwise flatten the feature into a dictionary.""" + from .features import Value + + if self.decode: + raise ValueError("Cannot flatten a decoded Audio feature.") + return { + "bytes": Value("binary"), + "path": Value("string"), + } + + def cast_storage(self, storage: Union[pa.StringArray, pa.StructArray]) -> pa.StructArray: + """Cast an Arrow array to the Audio arrow storage type. + The Arrow types that can be converted to the Audio pyarrow storage type are: + + - `pa.string()` - it must contain the "path" data + - `pa.binary()` - it must contain the audio bytes + - `pa.struct({"bytes": pa.binary()})` + - `pa.struct({"path": pa.string()})` + - `pa.struct({"bytes": pa.binary(), "path": pa.string()})` - order doesn't matter + + Args: + storage (`Union[pa.StringArray, pa.StructArray]`): + PyArrow array to cast. + + Returns: + `pa.StructArray`: Array in the Audio arrow storage type, that is + `pa.struct({"bytes": pa.binary(), "path": pa.string()})` + """ + if pa.types.is_string(storage.type): + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + storage = pa.StructArray.from_arrays([bytes_array, storage], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_binary(storage.type): + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([storage, path_array], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_struct(storage.type) and storage.type.get_all_field_indices("array"): + storage = pa.array([Audio().encode_example(x) if x is not None else None for x in storage.to_pylist()]) + elif pa.types.is_struct(storage.type): + if storage.type.get_field_index("bytes") >= 0: + bytes_array = storage.field("bytes") + else: + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + if storage.type.get_field_index("path") >= 0: + path_array = storage.field("path") + else: + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=storage.is_null()) + return array_cast(storage, self.pa_type) + + def embed_storage(self, storage: pa.StructArray) -> pa.StructArray: + """Embed audio files into the Arrow array. + + Args: + storage (`pa.StructArray`): + PyArrow array to embed. + + Returns: + `pa.StructArray`: Array in the Audio arrow storage type, that is + `pa.struct({"bytes": pa.binary(), "path": pa.string()})`. + """ + + @no_op_if_value_is_null + def path_to_bytes(path): + with xopen(path, "rb") as f: + bytes_ = f.read() + return bytes_ + + bytes_array = pa.array( + [ + (path_to_bytes(x["path"]) if x["bytes"] is None else x["bytes"]) if x is not None else None + for x in storage.to_pylist() + ], + type=pa.binary(), + ) + path_array = pa.array( + [os.path.basename(path) if path is not None else None for path in storage.field("path").to_pylist()], + type=pa.string(), + ) + storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null()) + return array_cast(storage, self.pa_type) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/features.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/features.py new file mode 100644 index 0000000000000000000000000000000000000000..9d9b4974aa7a60d2a4eb3aa9c7416b6b612bb141 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/features.py @@ -0,0 +1,2332 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""This class handle features definition in datasets and some utilities to display table type.""" + +import copy +import json +import re +import sys +from collections.abc import Iterable, Mapping +from collections.abc import Sequence as SequenceABC +from collections.abc import Sequence as Sequence_ +from dataclasses import InitVar, dataclass, field, fields +from functools import reduce, wraps +from operator import mul +from typing import Any, Callable, ClassVar, Literal, Optional, Union + +import numpy as np +import pandas as pd +import pyarrow as pa +import pyarrow.compute as pc +import pyarrow.types +from pandas.api.extensions import ExtensionArray as PandasExtensionArray +from pandas.api.extensions import ExtensionDtype as PandasExtensionDtype + +from .. import config +from ..naming import camelcase_to_snakecase, snakecase_to_camelcase +from ..table import array_cast +from ..utils import experimental, logging +from ..utils.py_utils import asdict, first_non_null_value, zip_dict +from .audio import Audio +from .image import Image, encode_pil_image +from .pdf import Pdf, encode_pdfplumber_pdf +from .translation import Translation, TranslationVariableLanguages +from .video import Video + + +logger = logging.get_logger(__name__) + + +def _arrow_to_datasets_dtype(arrow_type: pa.DataType) -> str: + """ + _arrow_to_datasets_dtype takes a pyarrow.DataType and converts it to a datasets string dtype. + In effect, `dt == string_to_arrow(_arrow_to_datasets_dtype(dt))` + """ + if pyarrow.types.is_null(arrow_type): + return "null" + elif pyarrow.types.is_boolean(arrow_type): + return "bool" + elif pyarrow.types.is_int8(arrow_type): + return "int8" + elif pyarrow.types.is_int16(arrow_type): + return "int16" + elif pyarrow.types.is_int32(arrow_type): + return "int32" + elif pyarrow.types.is_int64(arrow_type): + return "int64" + elif pyarrow.types.is_uint8(arrow_type): + return "uint8" + elif pyarrow.types.is_uint16(arrow_type): + return "uint16" + elif pyarrow.types.is_uint32(arrow_type): + return "uint32" + elif pyarrow.types.is_uint64(arrow_type): + return "uint64" + elif pyarrow.types.is_float16(arrow_type): + return "float16" # pyarrow dtype is "halffloat" + elif pyarrow.types.is_float32(arrow_type): + return "float32" # pyarrow dtype is "float" + elif pyarrow.types.is_float64(arrow_type): + return "float64" # pyarrow dtype is "double" + elif pyarrow.types.is_time32(arrow_type): + return f"time32[{pa.type_for_alias(str(arrow_type)).unit}]" + elif pyarrow.types.is_time64(arrow_type): + return f"time64[{pa.type_for_alias(str(arrow_type)).unit}]" + elif pyarrow.types.is_timestamp(arrow_type): + if arrow_type.tz is None: + return f"timestamp[{arrow_type.unit}]" + elif arrow_type.tz: + return f"timestamp[{arrow_type.unit}, tz={arrow_type.tz}]" + else: + raise ValueError(f"Unexpected timestamp object {arrow_type}.") + elif pyarrow.types.is_date32(arrow_type): + return "date32" # pyarrow dtype is "date32[day]" + elif pyarrow.types.is_date64(arrow_type): + return "date64" # pyarrow dtype is "date64[ms]" + elif pyarrow.types.is_duration(arrow_type): + return f"duration[{arrow_type.unit}]" + elif pyarrow.types.is_decimal128(arrow_type): + return f"decimal128({arrow_type.precision}, {arrow_type.scale})" + elif pyarrow.types.is_decimal256(arrow_type): + return f"decimal256({arrow_type.precision}, {arrow_type.scale})" + elif pyarrow.types.is_binary(arrow_type): + return "binary" + elif pyarrow.types.is_large_binary(arrow_type): + return "large_binary" + elif pyarrow.types.is_string(arrow_type): + return "string" + elif pyarrow.types.is_large_string(arrow_type): + return "large_string" + elif pyarrow.types.is_dictionary(arrow_type): + return _arrow_to_datasets_dtype(arrow_type.value_type) + else: + raise ValueError(f"Arrow type {arrow_type} does not have a datasets dtype equivalent.") + + +def string_to_arrow(datasets_dtype: str) -> pa.DataType: + """ + string_to_arrow takes a datasets string dtype and converts it to a pyarrow.DataType. + + In effect, `dt == string_to_arrow(_arrow_to_datasets_dtype(dt))` + + This is necessary because the datasets.Value() primitive type is constructed using a string dtype + + Value(dtype=str) + + But Features.type (via `get_nested_type()` expects to resolve Features into a pyarrow Schema, + which means that each Value() must be able to resolve into a corresponding pyarrow.DataType, which is the + purpose of this function. + """ + + def _dtype_error_msg(dtype, pa_dtype, examples=None, urls=None): + msg = f"{dtype} is not a validly formatted string representation of the pyarrow {pa_dtype} type." + if examples: + examples = ", ".join(examples[:-1]) + " or " + examples[-1] if len(examples) > 1 else examples[0] + msg += f"\nValid examples include: {examples}." + if urls: + urls = ", ".join(urls[:-1]) + " and " + urls[-1] if len(urls) > 1 else urls[0] + msg += f"\nFor more insformation, see: {urls}." + return msg + + if datasets_dtype in pa.__dict__: + return pa.__dict__[datasets_dtype]() + + if (datasets_dtype + "_") in pa.__dict__: + return pa.__dict__[datasets_dtype + "_"]() + + timestamp_matches = re.search(r"^timestamp\[(.*)\]$", datasets_dtype) + if timestamp_matches: + timestamp_internals = timestamp_matches.group(1) + internals_matches = re.search(r"^(s|ms|us|ns),\s*tz=([a-zA-Z0-9/_+\-:]*)$", timestamp_internals) + if timestamp_internals in ["s", "ms", "us", "ns"]: + return pa.timestamp(timestamp_internals) + elif internals_matches: + return pa.timestamp(internals_matches.group(1), internals_matches.group(2)) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "timestamp", + examples=["timestamp[us]", "timestamp[us, tz=America/New_York"], + urls=["https://arrow.apache.org/docs/python/generated/pyarrow.timestamp.html"], + ) + ) + + duration_matches = re.search(r"^duration\[(.*)\]$", datasets_dtype) + if duration_matches: + duration_internals = duration_matches.group(1) + if duration_internals in ["s", "ms", "us", "ns"]: + return pa.duration(duration_internals) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "duration", + examples=["duration[s]", "duration[us]"], + urls=["https://arrow.apache.org/docs/python/generated/pyarrow.duration.html"], + ) + ) + + time_matches = re.search(r"^time(.*)\[(.*)\]$", datasets_dtype) + if time_matches: + time_internals_bits = time_matches.group(1) + if time_internals_bits == "32": + time_internals_unit = time_matches.group(2) + if time_internals_unit in ["s", "ms"]: + return pa.time32(time_internals_unit) + else: + raise ValueError( + f"{time_internals_unit} is not a valid unit for the pyarrow time32 type. Supported units: s (second) and ms (millisecond)." + ) + elif time_internals_bits == "64": + time_internals_unit = time_matches.group(2) + if time_internals_unit in ["us", "ns"]: + return pa.time64(time_internals_unit) + else: + raise ValueError( + f"{time_internals_unit} is not a valid unit for the pyarrow time64 type. Supported units: us (microsecond) and ns (nanosecond)." + ) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "time", + examples=["time32[s]", "time64[us]"], + urls=[ + "https://arrow.apache.org/docs/python/generated/pyarrow.time32.html", + "https://arrow.apache.org/docs/python/generated/pyarrow.time64.html", + ], + ) + ) + + decimal_matches = re.search(r"^decimal(.*)\((.*)\)$", datasets_dtype) + if decimal_matches: + decimal_internals_bits = decimal_matches.group(1) + if decimal_internals_bits == "128": + decimal_internals_precision_and_scale = re.search(r"^(\d+),\s*(-?\d+)$", decimal_matches.group(2)) + if decimal_internals_precision_and_scale: + precision = decimal_internals_precision_and_scale.group(1) + scale = decimal_internals_precision_and_scale.group(2) + return pa.decimal128(int(precision), int(scale)) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "decimal128", + examples=["decimal128(10, 2)", "decimal128(4, -2)"], + urls=["https://arrow.apache.org/docs/python/generated/pyarrow.decimal128.html"], + ) + ) + elif decimal_internals_bits == "256": + decimal_internals_precision_and_scale = re.search(r"^(\d+),\s*(-?\d+)$", decimal_matches.group(2)) + if decimal_internals_precision_and_scale: + precision = decimal_internals_precision_and_scale.group(1) + scale = decimal_internals_precision_and_scale.group(2) + return pa.decimal256(int(precision), int(scale)) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "decimal256", + examples=["decimal256(30, 2)", "decimal256(38, -4)"], + urls=["https://arrow.apache.org/docs/python/generated/pyarrow.decimal256.html"], + ) + ) + else: + raise ValueError( + _dtype_error_msg( + datasets_dtype, + "decimal", + examples=["decimal128(12, 3)", "decimal256(40, 6)"], + urls=[ + "https://arrow.apache.org/docs/python/generated/pyarrow.decimal128.html", + "https://arrow.apache.org/docs/python/generated/pyarrow.decimal256.html", + ], + ) + ) + + raise ValueError( + f"Neither {datasets_dtype} nor {datasets_dtype + '_'} seems to be a pyarrow data type. " + f"Please make sure to use a correct data type, see: " + f"https://arrow.apache.org/docs/python/api/datatypes.html#factory-functions" + ) + + +def _cast_to_python_objects(obj: Any, only_1d_for_numpy: bool, optimize_list_casting: bool) -> tuple[Any, bool]: + """ + Cast pytorch/tensorflow/pandas objects to python numpy array/lists. + It works recursively. + + If `optimize_list_casting` is True, to avoid iterating over possibly long lists, it first checks (recursively) if the first element that is not None or empty (if it is a sequence) has to be casted. + If the first element needs to be casted, then all the elements of the list will be casted, otherwise they'll stay the same. + This trick allows to cast objects that contain tokenizers outputs without iterating over every single token for example. + + Args: + obj: the object (nested struct) to cast. + only_1d_for_numpy (bool): whether to keep the full multi-dim tensors as multi-dim numpy arrays, or convert them to + nested lists of 1-dimensional numpy arrays. This can be useful to keep only 1-d arrays to instantiate Arrow arrays. + Indeed Arrow only support converting 1-dimensional array values. + optimize_list_casting (bool): whether to optimize list casting by checking the first non-null element to see if it needs to be casted + and if it doesn't, not checking the rest of the list elements. + + Returns: + casted_obj: the casted object + has_changed (bool): True if the object has been changed, False if it is identical + """ + + if config.TF_AVAILABLE and "tensorflow" in sys.modules: + import tensorflow as tf + + if config.TORCH_AVAILABLE and "torch" in sys.modules: + import torch + + if config.JAX_AVAILABLE and "jax" in sys.modules: + import jax.numpy as jnp + + if config.PIL_AVAILABLE and "PIL" in sys.modules: + import PIL.Image + + if config.PDFPLUMBER_AVAILABLE and "pdfplumber" in sys.modules: + import pdfplumber + + if isinstance(obj, np.ndarray): + if obj.ndim == 0: + return obj[()], True + elif not only_1d_for_numpy or obj.ndim == 1: + return obj, False + else: + return ( + [ + _cast_to_python_objects( + x, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for x in obj + ], + True, + ) + elif config.TORCH_AVAILABLE and "torch" in sys.modules and isinstance(obj, torch.Tensor): + if obj.dtype == torch.bfloat16: + return _cast_to_python_objects( + obj.detach().to(torch.float).cpu().numpy(), + only_1d_for_numpy=only_1d_for_numpy, + optimize_list_casting=optimize_list_casting, + )[0], True + if obj.ndim == 0: + return obj.detach().cpu().numpy()[()], True + elif not only_1d_for_numpy or obj.ndim == 1: + return obj.detach().cpu().numpy(), True + else: + return ( + [ + _cast_to_python_objects( + x, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for x in obj.detach().cpu().numpy() + ], + True, + ) + elif config.TF_AVAILABLE and "tensorflow" in sys.modules and isinstance(obj, tf.Tensor): + if obj.ndim == 0: + return obj.numpy()[()], True + elif not only_1d_for_numpy or obj.ndim == 1: + return obj.numpy(), True + else: + return ( + [ + _cast_to_python_objects( + x, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for x in obj.numpy() + ], + True, + ) + elif config.JAX_AVAILABLE and "jax" in sys.modules and isinstance(obj, jnp.ndarray): + if obj.ndim == 0: + return np.asarray(obj)[()], True + elif not only_1d_for_numpy or obj.ndim == 1: + return np.asarray(obj), True + else: + return ( + [ + _cast_to_python_objects( + x, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for x in np.asarray(obj) + ], + True, + ) + elif config.PIL_AVAILABLE and "PIL" in sys.modules and isinstance(obj, PIL.Image.Image): + return encode_pil_image(obj), True + elif config.PDFPLUMBER_AVAILABLE and "pdfplumber" in sys.modules and isinstance(obj, pdfplumber.pdf.PDF): + return encode_pdfplumber_pdf(obj), True + elif isinstance(obj, pd.Series): + return ( + _cast_to_python_objects( + obj.tolist(), only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0], + True, + ) + elif isinstance(obj, pd.DataFrame): + return ( + { + key: _cast_to_python_objects( + value, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for key, value in obj.to_dict("series").items() + }, + True, + ) + elif isinstance(obj, pd.Timestamp): + return obj.to_pydatetime(), True + elif isinstance(obj, pd.Timedelta): + return obj.to_pytimedelta(), True + elif isinstance(obj, Mapping): + has_changed = not isinstance(obj, dict) + output = {} + for k, v in obj.items(): + casted_v, has_changed_v = _cast_to_python_objects( + v, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + ) + has_changed |= has_changed_v + output[k] = casted_v + return output if has_changed else obj, has_changed + elif hasattr(obj, "__array__"): + if np.isscalar(obj): + return obj, False + else: + return ( + _cast_to_python_objects( + obj.__array__(), only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0], + True, + ) + elif isinstance(obj, (list, tuple)): + if len(obj) > 0: + for first_elmt in obj: + if _check_non_null_non_empty_recursive(first_elmt): + break + casted_first_elmt, has_changed_first_elmt = _cast_to_python_objects( + first_elmt, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + ) + if has_changed_first_elmt or not optimize_list_casting: + return ( + [ + _cast_to_python_objects( + elmt, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + for elmt in obj + ], + True, + ) + else: + if isinstance(obj, (list, tuple)): + return obj, False + else: + return list(obj), True + else: + return obj, False + else: + return obj, False + + +def cast_to_python_objects(obj: Any, only_1d_for_numpy=False, optimize_list_casting=True) -> Any: + """ + Cast numpy/pytorch/tensorflow/pandas objects to python lists. + It works recursively. + + If `optimize_list_casting` is True, To avoid iterating over possibly long lists, it first checks (recursively) if the first element that is not None or empty (if it is a sequence) has to be casted. + If the first element needs to be casted, then all the elements of the list will be casted, otherwise they'll stay the same. + This trick allows to cast objects that contain tokenizers outputs without iterating over every single token for example. + + Args: + obj: the object (nested struct) to cast + only_1d_for_numpy (bool, default ``False``): whether to keep the full multi-dim tensors as multi-dim numpy arrays, or convert them to + nested lists of 1-dimensional numpy arrays. This can be useful to keep only 1-d arrays to instantiate Arrow arrays. + Indeed Arrow only support converting 1-dimensional array values. + optimize_list_casting (bool, default ``True``): whether to optimize list casting by checking the first non-null element to see if it needs to be casted + and if it doesn't, not checking the rest of the list elements. + + Returns: + casted_obj: the casted object + """ + return _cast_to_python_objects( + obj, only_1d_for_numpy=only_1d_for_numpy, optimize_list_casting=optimize_list_casting + )[0] + + +@dataclass +class Value: + """ + Scalar feature value of a particular data type. + + The possible dtypes of `Value` are as follows: + - `null` + - `bool` + - `int8` + - `int16` + - `int32` + - `int64` + - `uint8` + - `uint16` + - `uint32` + - `uint64` + - `float16` + - `float32` (alias float) + - `float64` (alias double) + - `time32[(s|ms)]` + - `time64[(us|ns)]` + - `timestamp[(s|ms|us|ns)]` + - `timestamp[(s|ms|us|ns), tz=(tzstring)]` + - `date32` + - `date64` + - `duration[(s|ms|us|ns)]` + - `decimal128(precision, scale)` + - `decimal256(precision, scale)` + - `binary` + - `large_binary` + - `string` + - `large_string` + + Args: + dtype (`str`): + Name of the data type. + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'stars': Value(dtype='int32')}) + >>> features + {'stars': Value(dtype='int32', id=None)} + ``` + """ + + dtype: str + id: Optional[str] = None + # Automatically constructed + pa_type: ClassVar[Any] = None + _type: str = field(default="Value", init=False, repr=False) + + def __post_init__(self): + if self.dtype == "double": # fix inferred type + self.dtype = "float64" + if self.dtype == "float": # fix inferred type + self.dtype = "float32" + self.pa_type = string_to_arrow(self.dtype) + + def __call__(self): + return self.pa_type + + def encode_example(self, value): + if pa.types.is_boolean(self.pa_type): + return bool(value) + elif pa.types.is_integer(self.pa_type): + return int(value) + elif pa.types.is_floating(self.pa_type): + return float(value) + elif pa.types.is_string(self.pa_type): + return str(value) + else: + return value + + +class _ArrayXD: + def __post_init__(self): + self.shape = tuple(self.shape) + + def __call__(self): + pa_type = globals()[self.__class__.__name__ + "ExtensionType"](self.shape, self.dtype) + return pa_type + + def encode_example(self, value): + return value + + +@dataclass +class Array2D(_ArrayXD): + """Create a two-dimensional array. + + Args: + shape (`tuple`): + Size of each dimension. + dtype (`str`): + Name of the data type. + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'x': Array2D(shape=(1, 3), dtype='int32')}) + ``` + """ + + shape: tuple + dtype: str + id: Optional[str] = None + # Automatically constructed + _type: str = field(default="Array2D", init=False, repr=False) + + +@dataclass +class Array3D(_ArrayXD): + """Create a three-dimensional array. + + Args: + shape (`tuple`): + Size of each dimension. + dtype (`str`): + Name of the data type. + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'x': Array3D(shape=(1, 2, 3), dtype='int32')}) + ``` + """ + + shape: tuple + dtype: str + id: Optional[str] = None + # Automatically constructed + _type: str = field(default="Array3D", init=False, repr=False) + + +@dataclass +class Array4D(_ArrayXD): + """Create a four-dimensional array. + + Args: + shape (`tuple`): + Size of each dimension. + dtype (`str`): + Name of the data type. + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'x': Array4D(shape=(1, 2, 2, 3), dtype='int32')}) + ``` + """ + + shape: tuple + dtype: str + id: Optional[str] = None + # Automatically constructed + _type: str = field(default="Array4D", init=False, repr=False) + + +@dataclass +class Array5D(_ArrayXD): + """Create a five-dimensional array. + + Args: + shape (`tuple`): + Size of each dimension. + dtype (`str`): + Name of the data type. + + Example: + + ```py + >>> from datasets import Features + >>> features = Features({'x': Array5D(shape=(1, 2, 2, 3, 3), dtype='int32')}) + ``` + """ + + shape: tuple + dtype: str + id: Optional[str] = None + # Automatically constructed + _type: str = field(default="Array5D", init=False, repr=False) + + +class _ArrayXDExtensionType(pa.ExtensionType): + ndims: Optional[int] = None + + def __init__(self, shape: tuple, dtype: str): + if self.ndims is None or self.ndims <= 1: + raise ValueError("You must instantiate an array type with a value for dim that is > 1") + if len(shape) != self.ndims: + raise ValueError(f"shape={shape} and ndims={self.ndims} don't match") + for dim in range(1, self.ndims): + if shape[dim] is None: + raise ValueError(f"Support only dynamic size on first dimension. Got: {shape}") + self.shape = tuple(shape) + self.value_type = dtype + self.storage_dtype = self._generate_dtype(self.value_type) + pa.ExtensionType.__init__(self, self.storage_dtype, f"{self.__class__.__module__}.{self.__class__.__name__}") + + def __arrow_ext_serialize__(self): + return json.dumps((self.shape, self.value_type)).encode() + + @classmethod + def __arrow_ext_deserialize__(cls, storage_type, serialized): + args = json.loads(serialized) + return cls(*args) + + # This was added to pa.ExtensionType in pyarrow >= 13.0.0 + def __reduce__(self): + return self.__arrow_ext_deserialize__, (self.storage_type, self.__arrow_ext_serialize__()) + + def __hash__(self): + return hash((self.__class__, self.shape, self.value_type)) + + def __arrow_ext_class__(self): + return ArrayExtensionArray + + def _generate_dtype(self, dtype): + dtype = string_to_arrow(dtype) + for d in reversed(self.shape): + dtype = pa.list_(dtype) + # Don't specify the size of the list, since fixed length list arrays have issues + # being validated after slicing in pyarrow 0.17.1 + return dtype + + def to_pandas_dtype(self): + return PandasArrayExtensionDtype(self.value_type) + + +class Array2DExtensionType(_ArrayXDExtensionType): + ndims = 2 + + +class Array3DExtensionType(_ArrayXDExtensionType): + ndims = 3 + + +class Array4DExtensionType(_ArrayXDExtensionType): + ndims = 4 + + +class Array5DExtensionType(_ArrayXDExtensionType): + ndims = 5 + + +# Register the extension types for deserialization +pa.register_extension_type(Array2DExtensionType((1, 2), "int64")) +pa.register_extension_type(Array3DExtensionType((1, 2, 3), "int64")) +pa.register_extension_type(Array4DExtensionType((1, 2, 3, 4), "int64")) +pa.register_extension_type(Array5DExtensionType((1, 2, 3, 4, 5), "int64")) + + +def _is_zero_copy_only(pa_type: pa.DataType, unnest: bool = False) -> bool: + """ + When converting a pyarrow array to a numpy array, we must know whether this could be done in zero-copy or not. + This function returns the value of the ``zero_copy_only`` parameter to pass to ``.to_numpy()``, given the type of the pyarrow array. + + # zero copy is available for all primitive types except booleans and temporal types (date, time, timestamp or duration) + # primitive types are types for which the physical representation in arrow and in numpy + # https://github.com/wesm/arrow/blob/c07b9b48cf3e0bbbab493992a492ae47e5b04cad/python/pyarrow/types.pxi#L821 + # see https://arrow.apache.org/docs/python/generated/pyarrow.Array.html#pyarrow.Array.to_numpy + # and https://issues.apache.org/jira/browse/ARROW-2871?jql=text%20~%20%22boolean%20to_numpy%22 + """ + + def _unnest_pa_type(pa_type: pa.DataType) -> pa.DataType: + if pa.types.is_list(pa_type): + return _unnest_pa_type(pa_type.value_type) + return pa_type + + if unnest: + pa_type = _unnest_pa_type(pa_type) + return pa.types.is_primitive(pa_type) and not (pa.types.is_boolean(pa_type) or pa.types.is_temporal(pa_type)) + + +class ArrayExtensionArray(pa.ExtensionArray): + def __array__(self): + zero_copy_only = _is_zero_copy_only(self.storage.type, unnest=True) + return self.to_numpy(zero_copy_only=zero_copy_only) + + def __getitem__(self, i): + return self.storage[i] + + def to_numpy(self, zero_copy_only=True): + storage: pa.ListArray = self.storage + null_mask = storage.is_null().to_numpy(zero_copy_only=False) + + if self.type.shape[0] is not None: + size = 1 + null_indices = np.arange(len(storage))[null_mask] - np.arange(np.sum(null_mask)) + + for i in range(self.type.ndims): + size *= self.type.shape[i] + storage = storage.flatten() + numpy_arr = storage.to_numpy(zero_copy_only=zero_copy_only) + numpy_arr = numpy_arr.reshape(len(self) - len(null_indices), *self.type.shape) + + if len(null_indices): + numpy_arr = np.insert(numpy_arr.astype(np.float64), null_indices, np.nan, axis=0) + + else: + shape = self.type.shape + ndims = self.type.ndims + arrays = [] + first_dim_offsets = np.array([off.as_py() for off in storage.offsets]) + for i, is_null in enumerate(null_mask): + if is_null: + arrays.append(np.nan) + else: + storage_el = storage[i : i + 1] + first_dim = first_dim_offsets[i + 1] - first_dim_offsets[i] + # flatten storage + for _ in range(ndims): + storage_el = storage_el.flatten() + + numpy_arr = storage_el.to_numpy(zero_copy_only=zero_copy_only) + arrays.append(numpy_arr.reshape(first_dim, *shape[1:])) + + if len(np.unique(np.diff(first_dim_offsets))) > 1: + # ragged + numpy_arr = np.empty(len(arrays), dtype=object) + numpy_arr[:] = arrays + else: + numpy_arr = np.array(arrays) + + return numpy_arr + + def to_pylist(self, maps_as_pydicts: Optional[Literal["lossy", "strict"]] = None): + zero_copy_only = _is_zero_copy_only(self.storage.type, unnest=True) + numpy_arr = self.to_numpy(zero_copy_only=zero_copy_only) + if self.type.shape[0] is None and numpy_arr.dtype == object: + return [arr.tolist() for arr in numpy_arr.tolist()] + else: + return numpy_arr.tolist() + + +class PandasArrayExtensionDtype(PandasExtensionDtype): + _metadata = "value_type" + + def __init__(self, value_type: Union["PandasArrayExtensionDtype", np.dtype]): + self._value_type = value_type + + def __from_arrow__(self, array: Union[pa.Array, pa.ChunkedArray]): + if isinstance(array, pa.ChunkedArray): + array = array.type.wrap_array(pa.concat_arrays([chunk.storage for chunk in array.chunks])) + zero_copy_only = _is_zero_copy_only(array.storage.type, unnest=True) + numpy_arr = array.to_numpy(zero_copy_only=zero_copy_only) + return PandasArrayExtensionArray(numpy_arr) + + @classmethod + def construct_array_type(cls): + return PandasArrayExtensionArray + + @property + def type(self) -> type: + return np.ndarray + + @property + def kind(self) -> str: + return "O" + + @property + def name(self) -> str: + return f"array[{self.value_type}]" + + @property + def value_type(self) -> np.dtype: + return self._value_type + + +class PandasArrayExtensionArray(PandasExtensionArray): + def __init__(self, data: np.ndarray, copy: bool = False): + self._data = data if not copy else np.array(data) + self._dtype = PandasArrayExtensionDtype(data.dtype) + + def __array__(self, dtype=None): + """ + Convert to NumPy Array. + Note that Pandas expects a 1D array when dtype is set to object. + But for other dtypes, the returned shape is the same as the one of ``data``. + + More info about pandas 1D requirement for PandasExtensionArray here: + https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.api.extensions.ExtensionArray.html#pandas.api.extensions.ExtensionArray + + """ + if dtype == np.dtype(object): + out = np.empty(len(self._data), dtype=object) + for i in range(len(self._data)): + out[i] = self._data[i] + return out + if dtype is None: + return self._data + else: + return self._data.astype(dtype) + + def copy(self, deep: bool = False) -> "PandasArrayExtensionArray": + return PandasArrayExtensionArray(self._data, copy=True) + + @classmethod + def _from_sequence( + cls, scalars, dtype: Optional[PandasArrayExtensionDtype] = None, copy: bool = False + ) -> "PandasArrayExtensionArray": + if len(scalars) > 1 and all( + isinstance(x, np.ndarray) and x.shape == scalars[0].shape and x.dtype == scalars[0].dtype for x in scalars + ): + data = np.array(scalars, dtype=dtype if dtype is None else dtype.value_type, copy=copy) + else: + data = np.empty(len(scalars), dtype=object) + data[:] = scalars + return cls(data, copy=copy) + + @classmethod + def _concat_same_type(cls, to_concat: Sequence_["PandasArrayExtensionArray"]) -> "PandasArrayExtensionArray": + if len(to_concat) > 1 and all( + va._data.shape == to_concat[0]._data.shape and va._data.dtype == to_concat[0]._data.dtype + for va in to_concat + ): + data = np.vstack([va._data for va in to_concat]) + else: + data = np.empty(len(to_concat), dtype=object) + data[:] = [va._data for va in to_concat] + return cls(data, copy=False) + + @property + def dtype(self) -> PandasArrayExtensionDtype: + return self._dtype + + @property + def nbytes(self) -> int: + return self._data.nbytes + + def isna(self) -> np.ndarray: + return np.array([pd.isna(arr).any() for arr in self._data]) + + def __setitem__(self, key: Union[int, slice, np.ndarray], value: Any) -> None: + raise NotImplementedError() + + def __getitem__(self, item: Union[int, slice, np.ndarray]) -> Union[np.ndarray, "PandasArrayExtensionArray"]: + if isinstance(item, int): + return self._data[item] + return PandasArrayExtensionArray(self._data[item], copy=False) + + def take( + self, indices: Sequence_[int], allow_fill: bool = False, fill_value: bool = None + ) -> "PandasArrayExtensionArray": + indices: np.ndarray = np.asarray(indices, dtype=int) + if allow_fill: + fill_value = ( + self.dtype.na_value if fill_value is None else np.asarray(fill_value, dtype=self.dtype.value_type) + ) + mask = indices == -1 + if (indices < -1).any(): + raise ValueError("Invalid value in `indices`, must be all >= -1 for `allow_fill` is True") + elif len(self) > 0: + pass + elif not np.all(mask): + raise IndexError("Invalid take for empty PandasArrayExtensionArray, must be all -1.") + else: + data = np.array([fill_value] * len(indices), dtype=self.dtype.value_type) + return PandasArrayExtensionArray(data, copy=False) + took = self._data.take(indices, axis=0) + if allow_fill and mask.any(): + took[mask] = [fill_value] * np.sum(mask) + return PandasArrayExtensionArray(took, copy=False) + + def __len__(self) -> int: + return len(self._data) + + def __eq__(self, other) -> np.ndarray: + if not isinstance(other, PandasArrayExtensionArray): + raise NotImplementedError(f"Invalid type to compare to: {type(other)}") + return (self._data == other._data).all() + + +def pandas_types_mapper(dtype): + if isinstance(dtype, _ArrayXDExtensionType): + return PandasArrayExtensionDtype(dtype.value_type) + + +@dataclass +class ClassLabel: + """Feature type for integer class labels. + + There are 3 ways to define a `ClassLabel`, which correspond to the 3 arguments: + + * `num_classes`: Create 0 to (num_classes-1) labels. + * `names`: List of label strings. + * `names_file`: File containing the list of labels. + + Under the hood the labels are stored as integers. + You can use negative integers to represent unknown/missing labels. + + Args: + num_classes (`int`, *optional*): + Number of classes. All labels must be < `num_classes`. + names (`list` of `str`, *optional*): + String names for the integer classes. + The order in which the names are provided is kept. + names_file (`str`, *optional*): + Path to a file with names for the integer classes, one per line. + + Example: + + ```py + >>> from datasets import Features, ClassLabel + >>> features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])}) + >>> features + {'label': ClassLabel(names=['bad', 'ok', 'good'], id=None)} + ``` + """ + + num_classes: InitVar[Optional[int]] = None # Pseudo-field: ignored by asdict/fields when converting to/from dict + names: list[str] = None + names_file: InitVar[Optional[str]] = None # Pseudo-field: ignored by asdict/fields when converting to/from dict + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "int64" + pa_type: ClassVar[Any] = pa.int64() + _str2int: ClassVar[dict[str, int]] = None + _int2str: ClassVar[dict[int, int]] = None + _type: str = field(default="ClassLabel", init=False, repr=False) + + def __post_init__(self, num_classes, names_file): + self.num_classes = num_classes + self.names_file = names_file + if self.names_file is not None and self.names is not None: + raise ValueError("Please provide either names or names_file but not both.") + # Set self.names + if self.names is None: + if self.names_file is not None: + self.names = self._load_names_from_file(self.names_file) + elif self.num_classes is not None: + self.names = [str(i) for i in range(self.num_classes)] + else: + raise ValueError("Please provide either num_classes, names or names_file.") + elif not isinstance(self.names, SequenceABC): + raise TypeError(f"Please provide names as a list, is {type(self.names)}") + # Set self.num_classes + if self.num_classes is None: + self.num_classes = len(self.names) + elif self.num_classes != len(self.names): + raise ValueError( + "ClassLabel number of names do not match the defined num_classes. " + f"Got {len(self.names)} names VS {self.num_classes} num_classes" + ) + # Prepare mappings + self._int2str = [str(name) for name in self.names] + self._str2int = {name: i for i, name in enumerate(self._int2str)} + if len(self._int2str) != len(self._str2int): + raise ValueError("Some label names are duplicated. Each label name should be unique.") + + def __call__(self): + return self.pa_type + + def str2int(self, values: Union[str, Iterable]) -> Union[int, Iterable]: + """Conversion class name `string` => `integer`. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train") + >>> ds.features["label"].str2int('neg') + 0 + ``` + """ + if not isinstance(values, str) and not isinstance(values, Iterable): + raise ValueError( + f"Values {values} should be a string or an Iterable (list, numpy array, pytorch, tensorflow tensors)" + ) + return_list = True + if isinstance(values, str): + values = [values] + return_list = False + + output = [self._strval2int(value) for value in values] + return output if return_list else output[0] + + def _strval2int(self, value: str) -> int: + failed_parse = False + value = str(value) + # first attempt - raw string value + int_value = self._str2int.get(value) + if int_value is None: + # second attempt - strip whitespace + int_value = self._str2int.get(value.strip()) + if int_value is None: + # third attempt - convert str to int + try: + int_value = int(value) + except ValueError: + failed_parse = True + else: + if int_value < -1 or int_value >= self.num_classes: + failed_parse = True + if failed_parse: + raise ValueError(f"Invalid string class label {value}") + return int_value + + def int2str(self, values: Union[int, Iterable]) -> Union[str, Iterable]: + """Conversion `integer` => class name `string`. + + Regarding unknown/missing labels: passing negative integers raises `ValueError`. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train") + >>> ds.features["label"].int2str(0) + 'neg' + ``` + """ + if not isinstance(values, int) and not isinstance(values, Iterable): + raise ValueError( + f"Values {values} should be an integer or an Iterable (list, numpy array, pytorch, tensorflow tensors)" + ) + return_list = True + if isinstance(values, int): + values = [values] + return_list = False + + for v in values: + if not 0 <= v < self.num_classes: + raise ValueError(f"Invalid integer class label {v:d}") + + output = [self._int2str[int(v)] for v in values] + return output if return_list else output[0] + + def encode_example(self, example_data): + if self.num_classes is None: + raise ValueError( + "Trying to use ClassLabel feature with undefined number of class. " + "Please set ClassLabel.names or num_classes." + ) + + # If a string is given, convert to associated integer + if isinstance(example_data, str): + example_data = self.str2int(example_data) + + # Allowing -1 to mean no label. + if not -1 <= example_data < self.num_classes: + raise ValueError(f"Class label {example_data:d} greater than configured num_classes {self.num_classes}") + return example_data + + def cast_storage(self, storage: Union[pa.StringArray, pa.IntegerArray]) -> pa.Int64Array: + """Cast an Arrow array to the `ClassLabel` arrow storage type. + The Arrow types that can be converted to the `ClassLabel` pyarrow storage type are: + + - `pa.string()` + - `pa.int()` + + Args: + storage (`Union[pa.StringArray, pa.IntegerArray]`): + PyArrow array to cast. + + Returns: + `pa.Int64Array`: Array in the `ClassLabel` arrow storage type. + """ + if isinstance(storage, pa.IntegerArray) and len(storage) > 0: + min_max = pc.min_max(storage).as_py() + if min_max["max"] is not None and min_max["max"] >= self.num_classes: + raise ValueError( + f"Class label {min_max['max']} greater than configured num_classes {self.num_classes}" + ) + elif isinstance(storage, pa.StringArray): + storage = pa.array( + [self._strval2int(label) if label is not None else None for label in storage.to_pylist()] + ) + return array_cast(storage, self.pa_type) + + @staticmethod + def _load_names_from_file(names_filepath): + with open(names_filepath, encoding="utf-8") as f: + return [name.strip() for name in f.read().split("\n") if name.strip()] # Filter empty names + + +@dataclass +class Sequence: + """Construct a list of feature from a single type or a dict of types. + Mostly here for compatiblity with tfds. + + Args: + feature ([`FeatureType`]): + A list of features of a single type or a dictionary of types. + length (`int`): + Length of the sequence. + + Example: + + ```py + >>> from datasets import Features, Sequence, Value, ClassLabel + >>> features = Features({'post': Sequence(feature={'text': Value(dtype='string'), 'upvotes': Value(dtype='int32'), 'label': ClassLabel(num_classes=2, names=['hot', 'cold'])})}) + >>> features + {'post': Sequence(feature={'text': Value(dtype='string', id=None), 'upvotes': Value(dtype='int32', id=None), 'label': ClassLabel(names=['hot', 'cold'], id=None)}, length=-1, id=None)} + ``` + """ + + feature: Any + length: int = -1 + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "list" + pa_type: ClassVar[Any] = None + _type: str = field(default="Sequence", init=False, repr=False) + + +@dataclass +class LargeList: + """Feature type for large list data composed of child feature data type. + + It is backed by `pyarrow.LargeListType`, which is like `pyarrow.ListType` but with 64-bit rather than 32-bit offsets. + + Args: + feature ([`FeatureType`]): + Child feature data type of each item within the large list. + """ + + feature: Any + id: Optional[str] = None + # Automatically constructed + pa_type: ClassVar[Any] = None + _type: str = field(default="LargeList", init=False, repr=False) + + +FeatureType = Union[ + dict, + list, + tuple, + Value, + ClassLabel, + Translation, + TranslationVariableLanguages, + LargeList, + Sequence, + Array2D, + Array3D, + Array4D, + Array5D, + Audio, + Image, + Video, + Pdf, +] + + +def _check_non_null_non_empty_recursive(obj, schema: Optional[FeatureType] = None) -> bool: + """ + Check if the object is not None. + If the object is a list or a tuple, recursively check the first element of the sequence and stop if at any point the first element is not a sequence or is an empty sequence. + """ + if obj is None: + return False + elif isinstance(obj, (list, tuple)) and (schema is None or isinstance(schema, (list, tuple, LargeList, Sequence))): + if len(obj) > 0: + if schema is None: + pass + elif isinstance(schema, (list, tuple)): + schema = schema[0] + else: + schema = schema.feature + return _check_non_null_non_empty_recursive(obj[0], schema) + else: + return False + else: + return True + + +def get_nested_type(schema: FeatureType) -> pa.DataType: + """ + get_nested_type() converts a datasets.FeatureType into a pyarrow.DataType, and acts as the inverse of + generate_from_arrow_type(). + + It performs double-duty as the implementation of Features.type and handles the conversion of + datasets.Feature->pa.struct + """ + # Nested structures: we allow dict, list/tuples, sequences + if isinstance(schema, Features): + return pa.struct( + {key: get_nested_type(schema[key]) for key in schema} + ) # Features is subclass of dict, and dict order is deterministic since Python 3.6 + elif isinstance(schema, dict): + return pa.struct( + {key: get_nested_type(schema[key]) for key in schema} + ) # however don't sort on struct types since the order matters + elif isinstance(schema, (list, tuple)): + if len(schema) != 1: + raise ValueError("When defining list feature, you should just provide one example of the inner type") + value_type = get_nested_type(schema[0]) + return pa.list_(value_type) + elif isinstance(schema, LargeList): + value_type = get_nested_type(schema.feature) + return pa.large_list(value_type) + elif isinstance(schema, Sequence): + value_type = get_nested_type(schema.feature) + # We allow to reverse list of dict => dict of list for compatibility with tfds + if isinstance(schema.feature, dict): + data_type = pa.struct({f.name: pa.list_(f.type, schema.length) for f in value_type}) + else: + data_type = pa.list_(value_type, schema.length) + return data_type + + # Other objects are callable which returns their data type (ClassLabel, Array2D, Translation, Arrow datatype creation methods) + return schema() + + +def encode_nested_example(schema, obj, level=0): + """Encode a nested example. + This is used since some features (in particular ClassLabel) have some logic during encoding. + + To avoid iterating over possibly long lists, it first checks (recursively) if the first element that is not None or empty (if it is a sequence) has to be encoded. + If the first element needs to be encoded, then all the elements of the list will be encoded, otherwise they'll stay the same. + """ + # Nested structures: we allow dict, list/tuples, sequences + if isinstance(schema, dict): + if level == 0 and obj is None: + raise ValueError("Got None but expected a dictionary instead") + return ( + {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema} + if obj is not None + else None + ) + + elif isinstance(schema, (list, tuple)): + sub_schema = schema[0] + if obj is None: + return None + elif isinstance(obj, np.ndarray): + return encode_nested_example(schema, obj.tolist()) + else: + if len(obj) > 0: + for first_elmt in obj: + if _check_non_null_non_empty_recursive(first_elmt, sub_schema): + break + if encode_nested_example(sub_schema, first_elmt, level=level + 1) != first_elmt: + return [encode_nested_example(sub_schema, o, level=level + 1) for o in obj] + return list(obj) + elif isinstance(schema, LargeList): + if obj is None: + return None + else: + if len(obj) > 0: + sub_schema = schema.feature + for first_elmt in obj: + if _check_non_null_non_empty_recursive(first_elmt, sub_schema): + break + if encode_nested_example(sub_schema, first_elmt, level=level + 1) != first_elmt: + return [encode_nested_example(sub_schema, o, level=level + 1) for o in obj] + return list(obj) + elif isinstance(schema, Sequence): + if obj is None: + return None + # We allow to reverse list of dict => dict of list for compatibility with tfds + if isinstance(schema.feature, dict): + # dict of list to fill + list_dict = {} + if isinstance(obj, (list, tuple)): + # obj is a list of dict + for k in schema.feature: + list_dict[k] = [encode_nested_example(schema.feature[k], o.get(k), level=level + 1) for o in obj] + return list_dict + else: + # obj is a single dict + for k in schema.feature: + list_dict[k] = ( + [encode_nested_example(schema.feature[k], o, level=level + 1) for o in obj[k]] + if k in obj + else None + ) + return list_dict + # schema.feature is not a dict + if isinstance(obj, str): # don't interpret a string as a list + raise ValueError(f"Got a string but expected a list instead: '{obj}'") + else: + if len(obj) > 0: + for first_elmt in obj: + if _check_non_null_non_empty_recursive(first_elmt, schema.feature): + break + # be careful when comparing tensors here + if ( + not (isinstance(first_elmt, list) or np.isscalar(first_elmt)) + or encode_nested_example(schema.feature, first_elmt, level=level + 1) != first_elmt + ): + return [encode_nested_example(schema.feature, o, level=level + 1) for o in obj] + return list(obj) + # Object with special encoding: + # ClassLabel will convert from string to int, TranslationVariableLanguages does some checks + elif hasattr(schema, "encode_example"): + return schema.encode_example(obj) if obj is not None else None + # Other object should be directly convertible to a native Arrow type (like Translation and Translation) + return obj + + +def decode_nested_example(schema, obj, token_per_repo_id: Optional[dict[str, Union[str, bool, None]]] = None): + """Decode a nested example. + This is used since some features (in particular Audio and Image) have some logic during decoding. + + To avoid iterating over possibly long lists, it first checks (recursively) if the first element that is not None or empty (if it is a sequence) has to be decoded. + If the first element needs to be decoded, then all the elements of the list will be decoded, otherwise they'll stay the same. + """ + # Nested structures: we allow dict, list/tuples, sequences + if isinstance(schema, dict): + return ( + {k: decode_nested_example(sub_schema, sub_obj) for k, (sub_schema, sub_obj) in zip_dict(schema, obj)} + if obj is not None + else None + ) + elif isinstance(schema, (list, tuple)): + sub_schema = schema[0] + if obj is None: + return None + else: + if len(obj) > 0: + for first_elmt in obj: + if _check_non_null_non_empty_recursive(first_elmt, sub_schema): + break + if decode_nested_example(sub_schema, first_elmt) != first_elmt: + return [decode_nested_example(sub_schema, o) for o in obj] + return list(obj) + elif isinstance(schema, LargeList): + if obj is None: + return None + else: + sub_schema = schema.feature + if len(obj) > 0: + for first_elmt in obj: + if _check_non_null_non_empty_recursive(first_elmt, sub_schema): + break + if decode_nested_example(sub_schema, first_elmt) != first_elmt: + return [decode_nested_example(sub_schema, o) for o in obj] + return list(obj) + elif isinstance(schema, Sequence): + # We allow to reverse list of dict => dict of list for compatibility with tfds + if isinstance(schema.feature, dict): + return {k: decode_nested_example([schema.feature[k]], obj[k]) for k in schema.feature} + else: + return decode_nested_example([schema.feature], obj) + # Object with special decoding: + elif hasattr(schema, "decode_example") and getattr(schema, "decode", True): + # we pass the token to read and decode files from private repositories in streaming mode + return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None + return obj + + +_FEATURE_TYPES: dict[str, FeatureType] = { + Value.__name__: Value, + ClassLabel.__name__: ClassLabel, + Translation.__name__: Translation, + TranslationVariableLanguages.__name__: TranslationVariableLanguages, + LargeList.__name__: LargeList, + Sequence.__name__: Sequence, + Array2D.__name__: Array2D, + Array3D.__name__: Array3D, + Array4D.__name__: Array4D, + Array5D.__name__: Array5D, + Audio.__name__: Audio, + Image.__name__: Image, + Video.__name__: Video, + Pdf.__name__: Pdf, +} + + +@experimental +def register_feature( + feature_cls: type, + feature_type: str, +): + """ + Register a Feature object using a name and class. + This function must be used on a Feature class. + """ + if feature_type in _FEATURE_TYPES: + logger.warning( + f"Overwriting feature type '{feature_type}' ({_FEATURE_TYPES[feature_type].__name__} -> {feature_cls.__name__})" + ) + _FEATURE_TYPES[feature_type] = feature_cls + + +def generate_from_dict(obj: Any): + """Regenerate the nested feature object from a deserialized dict. + We use the '_type' fields to get the dataclass name to load. + + generate_from_dict is the recursive helper for Features.from_dict, and allows for a convenient constructor syntax + to define features from deserialized JSON dictionaries. This function is used in particular when deserializing + a :class:`DatasetInfo` that was dumped to a JSON object. This acts as an analogue to + :meth:`Features.from_arrow_schema` and handles the recursive field-by-field instantiation, but doesn't require any + mapping to/from pyarrow, except for the fact that it takes advantage of the mapping of pyarrow primitive dtypes + that :class:`Value` automatically performs. + """ + # Nested structures: we allow dict, list/tuples, sequences + if isinstance(obj, list): + return [generate_from_dict(value) for value in obj] + # Otherwise we have a dict or a dataclass + if "_type" not in obj or isinstance(obj["_type"], dict): + return {key: generate_from_dict(value) for key, value in obj.items()} + obj = dict(obj) + _type = obj.pop("_type") + class_type = _FEATURE_TYPES.get(_type, None) or globals().get(_type, None) + + if class_type is None: + raise ValueError(f"Feature type '{_type}' not found. Available feature types: {list(_FEATURE_TYPES.keys())}") + + if class_type == LargeList: + feature = obj.pop("feature") + return LargeList(feature=generate_from_dict(feature), **obj) + if class_type == Sequence: + feature = obj.pop("feature") + return Sequence(feature=generate_from_dict(feature), **obj) + + field_names = {f.name for f in fields(class_type)} + return class_type(**{k: v for k, v in obj.items() if k in field_names}) + + +def generate_from_arrow_type(pa_type: pa.DataType) -> FeatureType: + """ + generate_from_arrow_type accepts an arrow DataType and returns a datasets FeatureType to be used as the type for + a single field. + + This is the high-level arrow->datasets type conversion and is inverted by get_nested_type(). + + This operates at the individual *field* level, whereas Features.from_arrow_schema() operates at the + full schema level and holds the methods that represent the bijection from Features<->pyarrow.Schema + """ + if isinstance(pa_type, pa.StructType): + return {field.name: generate_from_arrow_type(field.type) for field in pa_type} + elif isinstance(pa_type, pa.FixedSizeListType): + return Sequence(feature=generate_from_arrow_type(pa_type.value_type), length=pa_type.list_size) + elif isinstance(pa_type, pa.ListType): + feature = generate_from_arrow_type(pa_type.value_type) + if isinstance(feature, (dict, tuple, list)): + return [feature] + return Sequence(feature=feature) + elif isinstance(pa_type, pa.LargeListType): + feature = generate_from_arrow_type(pa_type.value_type) + return LargeList(feature=feature) + elif isinstance(pa_type, _ArrayXDExtensionType): + array_feature = [None, None, Array2D, Array3D, Array4D, Array5D][pa_type.ndims] + return array_feature(shape=pa_type.shape, dtype=pa_type.value_type) + elif isinstance(pa_type, pa.DataType): + return Value(dtype=_arrow_to_datasets_dtype(pa_type)) + else: + raise ValueError(f"Cannot convert {pa_type} to a Feature type.") + + +def numpy_to_pyarrow_listarray(arr: np.ndarray, type: pa.DataType = None) -> pa.ListArray: + """Build a PyArrow ListArray from a multidimensional NumPy array""" + arr = np.array(arr) + values = pa.array(arr.flatten(), type=type) + for i in range(arr.ndim - 1): + n_offsets = reduce(mul, arr.shape[: arr.ndim - i - 1], 1) + step_offsets = arr.shape[arr.ndim - i - 1] + offsets = pa.array(np.arange(n_offsets + 1) * step_offsets, type=pa.int32()) + values = pa.ListArray.from_arrays(offsets, values) + return values + + +def list_of_pa_arrays_to_pyarrow_listarray(l_arr: list[Optional[pa.Array]]) -> pa.ListArray: + null_mask = np.array([arr is None for arr in l_arr]) + null_indices = np.arange(len(null_mask))[null_mask] - np.arange(np.sum(null_mask)) + l_arr = [arr for arr in l_arr if arr is not None] + offsets = np.cumsum( + [0] + [len(arr) for arr in l_arr], dtype=object + ) # convert to dtype object to allow None insertion + offsets = np.insert(offsets, null_indices, None) + offsets = pa.array(offsets, type=pa.int32()) + values = pa.concat_arrays(l_arr) + return pa.ListArray.from_arrays(offsets, values) + + +def list_of_np_array_to_pyarrow_listarray(l_arr: list[np.ndarray], type: pa.DataType = None) -> pa.ListArray: + """Build a PyArrow ListArray from a possibly nested list of NumPy arrays""" + if len(l_arr) > 0: + return list_of_pa_arrays_to_pyarrow_listarray( + [numpy_to_pyarrow_listarray(arr, type=type) if arr is not None else None for arr in l_arr] + ) + else: + return pa.array([], type=type) + + +def contains_any_np_array(data: Any): + """Return `True` if data is a NumPy ndarray or (recursively) if first non-null value in list is a NumPy ndarray. + + Args: + data (Any): Data. + + Returns: + bool + """ + if isinstance(data, np.ndarray): + return True + elif isinstance(data, list): + return contains_any_np_array(first_non_null_value(data)[1]) + else: + return False + + +def any_np_array_to_pyarrow_listarray(data: Union[np.ndarray, list], type: pa.DataType = None) -> pa.ListArray: + """Convert to PyArrow ListArray either a NumPy ndarray or (recursively) a list that may contain any NumPy ndarray. + + Args: + data (Union[np.ndarray, List]): Data. + type (pa.DataType): Explicit PyArrow DataType passed to coerce the ListArray data type. + + Returns: + pa.ListArray + """ + if isinstance(data, np.ndarray): + return numpy_to_pyarrow_listarray(data, type=type) + elif isinstance(data, list): + return list_of_pa_arrays_to_pyarrow_listarray([any_np_array_to_pyarrow_listarray(i, type=type) for i in data]) + + +def to_pyarrow_listarray(data: Any, pa_type: _ArrayXDExtensionType) -> pa.Array: + """Convert to PyArrow ListArray. + + Args: + data (Any): Sequence, iterable, np.ndarray or pd.Series. + pa_type (_ArrayXDExtensionType): Any of the ArrayNDExtensionType. + + Returns: + pyarrow.Array + """ + if contains_any_np_array(data): + return any_np_array_to_pyarrow_listarray(data, type=pa_type.value_type) + else: + return pa.array(data, pa_type.storage_dtype) + + +def _visit(feature: FeatureType, func: Callable[[FeatureType], Optional[FeatureType]]) -> FeatureType: + """Visit a (possibly nested) feature. + + Args: + feature (FeatureType): the feature type to be checked + Returns: + visited feature (FeatureType) + """ + if isinstance(feature, Features): + out = func(Features({k: _visit(f, func) for k, f in feature.items()})) + elif isinstance(feature, dict): + out = func({k: _visit(f, func) for k, f in feature.items()}) + elif isinstance(feature, (list, tuple)): + out = func([_visit(feature[0], func)]) + elif isinstance(feature, LargeList): + out = func(LargeList(_visit(feature.feature, func))) + elif isinstance(feature, Sequence): + out = func(Sequence(_visit(feature.feature, func), length=feature.length)) + else: + out = func(feature) + return feature if out is None else out + + +_VisitPath = list[Union[str, Literal[0]]] + + +def _visit_with_path( + feature: FeatureType, func: Callable[[FeatureType, _VisitPath], Optional[FeatureType]], visit_path: _VisitPath = [] +) -> FeatureType: + """Visit a (possibly nested) feature with its path in the Feature object. + + A path in a nested feature object is the list of keys that need to be + sequentially accessed to get to the sub-feature. + + For example: + - ["foo"] corresponds to the column "foo" + - ["foo", 0] corresponds to the sub-feature of the lists in "foo" + - ["foo", "bar"] corresponds to the sub-feature of the dicts in "foo" with key "bar" + + Args: + feature (`FeatureType`): the feature type to be checked. + + Returns: + `FeatureType`: the visited feature. + """ + if isinstance(feature, Sequence) and isinstance(feature.feature, dict): + feature = {k: [f] for k, f in feature.feature.items()} + # ^ Sequence of dicts is special, it must be converted to a dict of lists (see https://huggingface.co/docs/datasets/v2.16.1/en/package_reference/main_classes#datasets.Features) + if isinstance(feature, Features): + out = func(Features({k: _visit_with_path(f, func, visit_path + [k]) for k, f in feature.items()}), visit_path) + elif isinstance(feature, dict): + out = func({k: _visit_with_path(f, func, visit_path + [k]) for k, f in feature.items()}, visit_path) + elif isinstance(feature, (list, tuple)): + out = func([_visit_with_path(feature[0], func, visit_path + [0])], visit_path) + elif isinstance(feature, Sequence): + out = func( + Sequence(_visit_with_path(feature.feature, func, visit_path + [0]), length=feature.length), visit_path + ) + elif isinstance(feature, LargeList): + out = func(LargeList(_visit_with_path(feature.feature, func, visit_path + [0])), visit_path) + else: + out = func(feature, visit_path) + return feature if out is None else out + + +def require_decoding(feature: FeatureType, ignore_decode_attribute: bool = False) -> bool: + """Check if a (possibly nested) feature requires decoding. + + Args: + feature (FeatureType): the feature type to be checked + ignore_decode_attribute (:obj:`bool`, default ``False``): Whether to ignore the current value + of the `decode` attribute of the decodable feature types. + Returns: + :obj:`bool` + """ + if isinstance(feature, dict): + return any(require_decoding(f) for f in feature.values()) + elif isinstance(feature, (list, tuple)): + return require_decoding(feature[0]) + elif isinstance(feature, LargeList): + return require_decoding(feature.feature) + elif isinstance(feature, Sequence): + return require_decoding(feature.feature) + else: + return hasattr(feature, "decode_example") and ( + getattr(feature, "decode", True) if not ignore_decode_attribute else True + ) + + +def require_storage_cast(feature: FeatureType) -> bool: + """Check if a (possibly nested) feature requires storage casting. + + Args: + feature (FeatureType): the feature type to be checked + Returns: + :obj:`bool` + """ + if isinstance(feature, dict): + return any(require_storage_cast(f) for f in feature.values()) + elif isinstance(feature, (list, tuple)): + return require_storage_cast(feature[0]) + elif isinstance(feature, LargeList): + return require_storage_cast(feature.feature) + elif isinstance(feature, Sequence): + return require_storage_cast(feature.feature) + else: + return hasattr(feature, "cast_storage") + + +def require_storage_embed(feature: FeatureType) -> bool: + """Check if a (possibly nested) feature requires embedding data into storage. + + Args: + feature (FeatureType): the feature type to be checked + Returns: + :obj:`bool` + """ + if isinstance(feature, dict): + return any(require_storage_cast(f) for f in feature.values()) + elif isinstance(feature, (list, tuple)): + return require_storage_cast(feature[0]) + elif isinstance(feature, LargeList): + return require_storage_cast(feature.feature) + elif isinstance(feature, Sequence): + return require_storage_cast(feature.feature) + else: + return hasattr(feature, "embed_storage") + + +def keep_features_dicts_synced(func): + """ + Wrapper to keep the secondary dictionary, which tracks whether keys are decodable, of the :class:`datasets.Features` object + in sync with the main dictionary. + """ + + @wraps(func) + def wrapper(*args, **kwargs): + if args: + self: "Features" = args[0] + args = args[1:] + else: + self: "Features" = kwargs.pop("self") + out = func(self, *args, **kwargs) + assert hasattr(self, "_column_requires_decoding") + self._column_requires_decoding = {col: require_decoding(feature) for col, feature in self.items()} + return out + + wrapper._decorator_name_ = "_keep_dicts_synced" + return wrapper + + +class Features(dict): + """A special dictionary that defines the internal structure of a dataset. + + Instantiated with a dictionary of type `dict[str, FieldType]`, where keys are the desired column names, + and values are the type of that column. + + `FieldType` can be one of the following: + - [`Value`] feature specifies a single data type value, e.g. `int64` or `string`. + - [`ClassLabel`] feature specifies a predefined set of classes which can have labels associated to them and + will be stored as integers in the dataset. + - Python `dict` specifies a composite feature containing a mapping of sub-fields to sub-features. + It's possible to have nested fields of nested fields in an arbitrary manner. + - Python `list`, [`LargeList`] or [`Sequence`] specifies a composite feature containing a sequence of + sub-features, all of the same feature type. + + + + A [`Sequence`] with an internal dictionary feature will be automatically converted into a dictionary of + lists. This behavior is implemented to have a compatibility layer with the TensorFlow Datasets library but may be + un-wanted in some cases. If you don't want this behavior, you can use a Python `list` or a [`LargeList`] + instead of the [`Sequence`]. + + + + - [`Array2D`], [`Array3D`], [`Array4D`] or [`Array5D`] feature for multidimensional arrays. + - [`Audio`] feature to store the absolute path to an audio file or a dictionary with the relative path + to an audio file ("path" key) and its bytes content ("bytes" key). This feature extracts the audio data. + - [`Image`] feature to store the absolute path to an image file, an `np.ndarray` object, a `PIL.Image.Image` object + or a dictionary with the relative path to an image file ("path" key) and its bytes content ("bytes" key). + This feature extracts the image data. + - [`Translation`] or [`TranslationVariableLanguages`] feature specific to Machine Translation. + """ + + def __init__(*args, **kwargs): + # self not in the signature to allow passing self as a kwarg + if not args: + raise TypeError("descriptor '__init__' of 'Features' object needs an argument") + self, *args = args + super(Features, self).__init__(*args, **kwargs) + self._column_requires_decoding: dict[str, bool] = { + col: require_decoding(feature) for col, feature in self.items() + } + + __setitem__ = keep_features_dicts_synced(dict.__setitem__) + __delitem__ = keep_features_dicts_synced(dict.__delitem__) + update = keep_features_dicts_synced(dict.update) + setdefault = keep_features_dicts_synced(dict.setdefault) + pop = keep_features_dicts_synced(dict.pop) + popitem = keep_features_dicts_synced(dict.popitem) + clear = keep_features_dicts_synced(dict.clear) + + def __reduce__(self): + return Features, (dict(self),) + + @property + def type(self): + """ + Features field types. + + Returns: + :obj:`pyarrow.DataType` + """ + return get_nested_type(self) + + @property + def arrow_schema(self): + """ + Features schema. + + Returns: + :obj:`pyarrow.Schema` + """ + hf_metadata = {"info": {"features": self.to_dict()}} + return pa.schema(self.type).with_metadata({"huggingface": json.dumps(hf_metadata)}) + + @classmethod + def from_arrow_schema(cls, pa_schema: pa.Schema) -> "Features": + """ + Construct [`Features`] from Arrow Schema. + It also checks the schema metadata for Hugging Face Datasets features. + Non-nullable fields are not supported and set to nullable. + + Also, pa.dictionary is not supported and it uses its underlying type instead. + Therefore datasets convert DictionaryArray objects to their actual values. + + Args: + pa_schema (`pyarrow.Schema`): + Arrow Schema. + + Returns: + [`Features`] + """ + # try to load features from the arrow schema metadata + metadata_features = Features() + if pa_schema.metadata is not None and b"huggingface" in pa_schema.metadata: + metadata = json.loads(pa_schema.metadata[b"huggingface"].decode()) + if "info" in metadata and "features" in metadata["info"] and metadata["info"]["features"] is not None: + metadata_features = Features.from_dict(metadata["info"]["features"]) + metadata_features_schema = metadata_features.arrow_schema + obj = { + field.name: ( + metadata_features[field.name] + if field.name in metadata_features and metadata_features_schema.field(field.name) == field + else generate_from_arrow_type(field.type) + ) + for field in pa_schema + } + return cls(**obj) + + @classmethod + def from_dict(cls, dic) -> "Features": + """ + Construct [`Features`] from dict. + + Regenerate the nested feature object from a deserialized dict. + We use the `_type` key to infer the dataclass name of the feature `FieldType`. + + It allows for a convenient constructor syntax + to define features from deserialized JSON dictionaries. This function is used in particular when deserializing + a [`DatasetInfo`] that was dumped to a JSON object. This acts as an analogue to + [`Features.from_arrow_schema`] and handles the recursive field-by-field instantiation, but doesn't require + any mapping to/from pyarrow, except for the fact that it takes advantage of the mapping of pyarrow primitive + dtypes that [`Value`] automatically performs. + + Args: + dic (`dict[str, Any]`): + Python dictionary. + + Returns: + `Features` + + Example:: + >>> Features.from_dict({'_type': {'dtype': 'string', 'id': None, '_type': 'Value'}}) + {'_type': Value(dtype='string', id=None)} + """ + obj = generate_from_dict(dic) + return cls(**obj) + + def to_dict(self): + return asdict(self) + + def _to_yaml_list(self) -> list: + # we compute the YAML list from the dict representation that is used for JSON dump + yaml_data = self.to_dict() + + def simplify(feature: dict) -> dict: + if not isinstance(feature, dict): + raise TypeError(f"Expected a dict but got a {type(feature)}: {feature}") + + for list_type in ["large_list", "list", "sequence"]: + # + # list_type: -> list_type: int32 + # dtype: int32 -> + # + if isinstance(feature.get(list_type), dict) and list(feature[list_type]) == ["dtype"]: + feature[list_type] = feature[list_type]["dtype"] + + # + # list_type: -> list_type: + # struct: -> - name: foo + # - name: foo -> dtype: int32 + # dtype: int32 -> + # + if isinstance(feature.get(list_type), dict) and list(feature[list_type]) == ["struct"]: + feature[list_type] = feature[list_type]["struct"] + + # + # class_label: -> class_label: + # names: -> names: + # - negative -> '0': negative + # - positive -> '1': positive + # + if isinstance(feature.get("class_label"), dict) and isinstance(feature["class_label"].get("names"), list): + # server-side requirement: keys must be strings + feature["class_label"]["names"] = { + str(label_id): label_name for label_id, label_name in enumerate(feature["class_label"]["names"]) + } + return feature + + def to_yaml_inner(obj: Union[dict, list]) -> dict: + if isinstance(obj, dict): + _type = obj.pop("_type", None) + if _type == "LargeList": + _feature = obj.pop("feature") + return simplify({"large_list": to_yaml_inner(_feature), **obj}) + elif _type == "Sequence": + _feature = obj.pop("feature") + return simplify({"sequence": to_yaml_inner(_feature), **obj}) + elif _type == "Value": + return obj + elif _type and not obj: + return {"dtype": camelcase_to_snakecase(_type)} + elif _type: + return {"dtype": simplify({camelcase_to_snakecase(_type): obj})} + else: + return {"struct": [{"name": name, **to_yaml_inner(_feature)} for name, _feature in obj.items()]} + elif isinstance(obj, list): + return simplify({"list": simplify(to_yaml_inner(obj[0]))}) + elif isinstance(obj, tuple): + return to_yaml_inner(list(obj)) + else: + raise TypeError(f"Expected a dict or a list but got {type(obj)}: {obj}") + + def to_yaml_types(obj: dict) -> dict: + if isinstance(obj, dict): + return {k: to_yaml_types(v) for k, v in obj.items()} + elif isinstance(obj, list): + return [to_yaml_types(v) for v in obj] + elif isinstance(obj, tuple): + return to_yaml_types(list(obj)) + else: + return obj + + return to_yaml_types(to_yaml_inner(yaml_data)["struct"]) + + @classmethod + def _from_yaml_list(cls, yaml_data: list) -> "Features": + yaml_data = copy.deepcopy(yaml_data) + + # we convert the list obtained from YAML data into the dict representation that is used for JSON dump + + def unsimplify(feature: dict) -> dict: + if not isinstance(feature, dict): + raise TypeError(f"Expected a dict but got a {type(feature)}: {feature}") + + for list_type in ["large_list", "list", "sequence"]: + # + # list_type: int32 -> list_type: + # -> dtype: int32 + # + if isinstance(feature.get(list_type), str): + feature[list_type] = {"dtype": feature[list_type]} + + # + # class_label: -> class_label: + # names: -> names: + # '0': negative -> - negative + # '1': positive -> - positive + # + if isinstance(feature.get("class_label"), dict) and isinstance(feature["class_label"].get("names"), dict): + label_ids = sorted(feature["class_label"]["names"], key=int) + if label_ids and [int(label_id) for label_id in label_ids] != list(range(int(label_ids[-1]) + 1)): + raise ValueError( + f"ClassLabel expected a value for all label ids [0:{int(label_ids[-1]) + 1}] but some ids are missing." + ) + feature["class_label"]["names"] = [feature["class_label"]["names"][label_id] for label_id in label_ids] + return feature + + def from_yaml_inner(obj: Union[dict, list]) -> Union[dict, list]: + if isinstance(obj, dict): + if not obj: + return {} + _type = next(iter(obj)) + if _type == "large_list": + _feature = unsimplify(obj).pop(_type) + return {"feature": from_yaml_inner(_feature), **obj, "_type": "LargeList"} + if _type == "sequence": + _feature = unsimplify(obj).pop(_type) + return {"feature": from_yaml_inner(_feature), **obj, "_type": "Sequence"} + if _type == "list": + return [from_yaml_inner(unsimplify(obj)[_type])] + if _type == "struct": + return from_yaml_inner(obj["struct"]) + elif _type == "dtype": + if isinstance(obj["dtype"], str): + # e.g. int32, float64, string, audio, image + try: + Value(obj["dtype"]) + return {**obj, "_type": "Value"} + except ValueError: + # e.g. Audio, Image, ArrayXD + return {"_type": snakecase_to_camelcase(obj["dtype"])} + else: + return from_yaml_inner(obj["dtype"]) + else: + return {"_type": snakecase_to_camelcase(_type), **unsimplify(obj)[_type]} + elif isinstance(obj, list): + names = [_feature.pop("name") for _feature in obj] + return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)} + else: + raise TypeError(f"Expected a dict or a list but got {type(obj)}: {obj}") + + return cls.from_dict(from_yaml_inner(yaml_data)) + + def encode_example(self, example): + """ + Encode example into a format for Arrow. + + Args: + example (`dict[str, Any]`): + Data in a Dataset row. + + Returns: + `dict[str, Any]` + """ + example = cast_to_python_objects(example) + return encode_nested_example(self, example) + + def encode_column(self, column, column_name: str): + """ + Encode column into a format for Arrow. + + Args: + column (`list[Any]`): + Data in a Dataset column. + column_name (`str`): + Dataset column name. + + Returns: + `list[Any]` + """ + column = cast_to_python_objects(column) + return [encode_nested_example(self[column_name], obj, level=1) for obj in column] + + def encode_batch(self, batch): + """ + Encode batch into a format for Arrow. + + Args: + batch (`dict[str, list[Any]]`): + Data in a Dataset batch. + + Returns: + `dict[str, list[Any]]` + """ + encoded_batch = {} + if set(batch) != set(self): + raise ValueError(f"Column mismatch between batch {set(batch)} and features {set(self)}") + for key, column in batch.items(): + column = cast_to_python_objects(column) + encoded_batch[key] = [encode_nested_example(self[key], obj, level=1) for obj in column] + return encoded_batch + + def decode_example(self, example: dict, token_per_repo_id: Optional[dict[str, Union[str, bool, None]]] = None): + """Decode example with custom feature decoding. + + Args: + example (`dict[str, Any]`): + Dataset row data. + token_per_repo_id (`dict`, *optional*): + To access and decode audio or image files from private repositories on the Hub, you can pass + a dictionary `repo_id (str) -> token (bool or str)`. + + Returns: + `dict[str, Any]` + """ + + return { + column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id) + if self._column_requires_decoding[column_name] + else value + for column_name, (feature, value) in zip_dict( + {key: value for key, value in self.items() if key in example}, example + ) + } + + def decode_column(self, column: list, column_name: str): + """Decode column with custom feature decoding. + + Args: + column (`list[Any]`): + Dataset column data. + column_name (`str`): + Dataset column name. + + Returns: + `list[Any]` + """ + return ( + [decode_nested_example(self[column_name], value) if value is not None else None for value in column] + if self._column_requires_decoding[column_name] + else column + ) + + def decode_batch(self, batch: dict, token_per_repo_id: Optional[dict[str, Union[str, bool, None]]] = None): + """Decode batch with custom feature decoding. + + Args: + batch (`dict[str, list[Any]]`): + Dataset batch data. + token_per_repo_id (`dict`, *optional*): + To access and decode audio or image files from private repositories on the Hub, you can pass + a dictionary repo_id (str) -> token (bool or str) + + Returns: + `dict[str, list[Any]]` + """ + decoded_batch = {} + for column_name, column in batch.items(): + decoded_batch[column_name] = ( + [ + decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id) + if value is not None + else None + for value in column + ] + if self._column_requires_decoding[column_name] + else column + ) + return decoded_batch + + def copy(self) -> "Features": + """ + Make a deep copy of [`Features`]. + + Returns: + [`Features`] + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train") + >>> copy_of_features = ds.features.copy() + >>> copy_of_features + {'label': ClassLabel(names=['neg', 'pos'], id=None), + 'text': Value(dtype='string', id=None)} + ``` + """ + return copy.deepcopy(self) + + def reorder_fields_as(self, other: "Features") -> "Features": + """ + Reorder Features fields to match the field order of other [`Features`]. + + The order of the fields is important since it matters for the underlying arrow data. + Re-ordering the fields allows to make the underlying arrow data type match. + + Args: + other ([`Features`]): + The other [`Features`] to align with. + + Returns: + [`Features`] + + Example:: + + >>> from datasets import Features, Sequence, Value + >>> # let's say we have two features with a different order of nested fields (for a and b for example) + >>> f1 = Features({"root": Sequence({"a": Value("string"), "b": Value("string")})}) + >>> f2 = Features({"root": {"b": Sequence(Value("string")), "a": Sequence(Value("string"))}}) + >>> assert f1.type != f2.type + >>> # re-ordering keeps the base structure (here Sequence is defined at the root level), but makes the fields order match + >>> f1.reorder_fields_as(f2) + {'root': Sequence(feature={'b': Value(dtype='string', id=None), 'a': Value(dtype='string', id=None)}, length=-1, id=None)} + >>> assert f1.reorder_fields_as(f2).type == f2.type + """ + + def recursive_reorder(source, target, stack=""): + stack_position = " at " + stack[1:] if stack else "" + if isinstance(target, Sequence): + target = target.feature + if isinstance(target, dict): + target = {k: [v] for k, v in target.items()} + else: + target = [target] + if isinstance(source, Sequence): + sequence_kwargs = vars(source).copy() + source = sequence_kwargs.pop("feature") + if isinstance(source, dict): + source = {k: [v] for k, v in source.items()} + reordered = recursive_reorder(source, target, stack) + return Sequence({k: v[0] for k, v in reordered.items()}, **sequence_kwargs) + else: + source = [source] + reordered = recursive_reorder(source, target, stack) + return Sequence(reordered[0], **sequence_kwargs) + elif isinstance(source, dict): + if not isinstance(target, dict): + raise ValueError(f"Type mismatch: between {source} and {target}" + stack_position) + if sorted(source) != sorted(target): + message = ( + f"Keys mismatch: between {source} (source) and {target} (target).\n" + f"{source.keys() - target.keys()} are missing from target " + f"and {target.keys() - source.keys()} are missing from source" + stack_position + ) + raise ValueError(message) + return {key: recursive_reorder(source[key], target[key], stack + f".{key}") for key in target} + elif isinstance(source, list): + if not isinstance(target, list): + raise ValueError(f"Type mismatch: between {source} and {target}" + stack_position) + if len(source) != len(target): + raise ValueError(f"Length mismatch: between {source} and {target}" + stack_position) + return [recursive_reorder(source[i], target[i], stack + ".") for i in range(len(target))] + elif isinstance(source, LargeList): + if not isinstance(target, LargeList): + raise ValueError(f"Type mismatch: between {source} and {target}" + stack_position) + return LargeList(recursive_reorder(source.feature, target.feature, stack)) + else: + return source + + return Features(recursive_reorder(self, other)) + + def flatten(self, max_depth=16) -> "Features": + """Flatten the features. Every dictionary column is removed and is replaced by + all the subfields it contains. The new fields are named by concatenating the + name of the original column and the subfield name like this: `.`. + + If a column contains nested dictionaries, then all the lower-level subfields names are + also concatenated to form new columns: `..`, etc. + + Returns: + [`Features`]: + The flattened features. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("rajpurkar/squad", split="train") + >>> ds.features.flatten() + {'answers.answer_start': Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None), + 'answers.text': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), + 'context': Value(dtype='string', id=None), + 'id': Value(dtype='string', id=None), + 'question': Value(dtype='string', id=None), + 'title': Value(dtype='string', id=None)} + ``` + """ + for depth in range(1, max_depth): + no_change = True + flattened = self.copy() + for column_name, subfeature in self.items(): + if isinstance(subfeature, dict): + no_change = False + flattened.update({f"{column_name}.{k}": v for k, v in subfeature.items()}) + del flattened[column_name] + elif isinstance(subfeature, Sequence) and isinstance(subfeature.feature, dict): + no_change = False + flattened.update( + { + f"{column_name}.{k}": Sequence(v) if not isinstance(v, dict) else [v] + for k, v in subfeature.feature.items() + } + ) + del flattened[column_name] + elif hasattr(subfeature, "flatten") and subfeature.flatten() != subfeature: + no_change = False + flattened.update({f"{column_name}.{k}": v for k, v in subfeature.flatten().items()}) + del flattened[column_name] + self = flattened + if no_change: + break + return self + + +def _align_features(features_list: list[Features]) -> list[Features]: + """Align dictionaries of features so that the keys that are found in multiple dictionaries share the same feature.""" + name2feature = {} + for features in features_list: + for k, v in features.items(): + if k in name2feature and isinstance(v, dict): + # Recursively align features. + name2feature[k] = _align_features([name2feature[k], v])[0] + elif k not in name2feature or (isinstance(name2feature[k], Value) and name2feature[k].dtype == "null"): + name2feature[k] = v + + return [Features({k: name2feature[k] for k in features.keys()}) for features in features_list] + + +def _check_if_features_can_be_aligned(features_list: list[Features]): + """Check if the dictionaries of features can be aligned. + + Two dictonaries of features can be aligned if the keys they share have the same type or some of them is of type `Value("null")`. + """ + name2feature = {} + for features in features_list: + for k, v in features.items(): + if k not in name2feature or (isinstance(name2feature[k], Value) and name2feature[k].dtype == "null"): + name2feature[k] = v + + for features in features_list: + for k, v in features.items(): + if isinstance(v, dict) and isinstance(name2feature[k], dict): + # Deep checks for structure. + _check_if_features_can_be_aligned([name2feature[k], v]) + elif not (isinstance(v, Value) and v.dtype == "null") and name2feature[k] != v: + raise ValueError( + f'The features can\'t be aligned because the key {k} of features {features} has unexpected type - {v} (expected either {name2feature[k]} or Value("null").' + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/image.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/image.py new file mode 100644 index 0000000000000000000000000000000000000000..de18efd2719e5773a2a6da908f92f062ba86f0ac --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/image.py @@ -0,0 +1,382 @@ +import os +import sys +import warnings +from dataclasses import dataclass, field +from io import BytesIO +from typing import TYPE_CHECKING, Any, ClassVar, Optional, Union + +import numpy as np +import pyarrow as pa + +from .. import config +from ..download.download_config import DownloadConfig +from ..table import array_cast +from ..utils.file_utils import is_local_path, xopen +from ..utils.py_utils import first_non_null_value, no_op_if_value_is_null, string_to_dict + + +if TYPE_CHECKING: + import PIL.Image + + from .features import FeatureType + + +_IMAGE_COMPRESSION_FORMATS: Optional[list[str]] = None +_NATIVE_BYTEORDER = "<" if sys.byteorder == "little" else ">" +# Origin: https://github.com/python-pillow/Pillow/blob/698951e19e19972aeed56df686868f1329981c12/src/PIL/Image.py#L3126 minus "|i1" which values are not preserved correctly when saving and loading an image +_VALID_IMAGE_ARRAY_DTPYES = [ + np.dtype("|b1"), + np.dtype("|u1"), + np.dtype("u2"), + np.dtype("i2"), + np.dtype("u4"), + np.dtype("i4"), + np.dtype("f4"), + np.dtype("f8"), +] + + +@dataclass +class Image: + """Image [`Feature`] to read image data from an image file. + + Input: The Image feature accepts as input: + - A `str`: Absolute path to the image file (i.e. random access is allowed). + - A `dict` with the keys: + + - `path`: String with relative path of the image file to the archive file. + - `bytes`: Bytes of the image file. + + This is useful for archived files with sequential access. + + - An `np.ndarray`: NumPy array representing an image. + - A `PIL.Image.Image`: PIL image object. + + Args: + mode (`str`, *optional*): + The mode to convert the image to. If `None`, the native mode of the image is used. + decode (`bool`, defaults to `True`): + Whether to decode the image data. If `False`, + returns the underlying dictionary in the format `{"path": image_path, "bytes": image_bytes}`. + + Examples: + + ```py + >>> from datasets import load_dataset, Image + >>> ds = load_dataset("AI-Lab-Makerere/beans", split="train") + >>> ds.features["image"] + Image(decode=True, id=None) + >>> ds[0]["image"] + + >>> ds = ds.cast_column('image', Image(decode=False)) + {'bytes': None, + 'path': '/root/.cache/huggingface/datasets/downloads/extracted/b0a21163f78769a2cf11f58dfc767fb458fc7cea5c05dccc0144a2c0f0bc1292/train/healthy/healthy_train.85.jpg'} + ``` + """ + + mode: Optional[str] = None + decode: bool = True + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "PIL.Image.Image" + pa_type: ClassVar[Any] = pa.struct({"bytes": pa.binary(), "path": pa.string()}) + _type: str = field(default="Image", init=False, repr=False) + + def __call__(self): + return self.pa_type + + def encode_example(self, value: Union[str, bytes, bytearray, dict, np.ndarray, "PIL.Image.Image"]) -> dict: + """Encode example into a format for Arrow. + + Args: + value (`str`, `np.ndarray`, `PIL.Image.Image` or `dict`): + Data passed as input to Image feature. + + Returns: + `dict` with "path" and "bytes" fields + """ + if config.PIL_AVAILABLE: + import PIL.Image + else: + raise ImportError("To support encoding images, please install 'Pillow'.") + + if isinstance(value, list): + value = np.array(value) + + if isinstance(value, str): + return {"path": value, "bytes": None} + elif isinstance(value, (bytes, bytearray)): + return {"path": None, "bytes": value} + elif isinstance(value, np.ndarray): + # convert the image array to PNG/TIFF bytes + return encode_np_array(value) + elif isinstance(value, PIL.Image.Image): + # convert the PIL image to bytes (default format is PNG/TIFF) + return encode_pil_image(value) + elif value.get("path") is not None and os.path.isfile(value["path"]): + # we set "bytes": None to not duplicate the data if they're already available locally + return {"bytes": None, "path": value.get("path")} + elif value.get("bytes") is not None or value.get("path") is not None: + # store the image bytes, and path is used to infer the image format using the file extension + return {"bytes": value.get("bytes"), "path": value.get("path")} + else: + raise ValueError( + f"An image sample should have one of 'path' or 'bytes' but they are missing or None in {value}." + ) + + def decode_example(self, value: dict, token_per_repo_id=None) -> "PIL.Image.Image": + """Decode example image file into image data. + + Args: + value (`str` or `dict`): + A string with the absolute image file path, a dictionary with + keys: + + - `path`: String with absolute or relative image file path. + - `bytes`: The bytes of the image file. + token_per_repo_id (`dict`, *optional*): + To access and decode + image files from private repositories on the Hub, you can pass + a dictionary repo_id (`str`) -> token (`bool` or `str`). + + Returns: + `PIL.Image.Image` + """ + if not self.decode: + raise RuntimeError("Decoding is disabled for this feature. Please use Image(decode=True) instead.") + + if config.PIL_AVAILABLE: + import PIL.Image + import PIL.ImageOps + else: + raise ImportError("To support decoding images, please install 'Pillow'.") + + if token_per_repo_id is None: + token_per_repo_id = {} + + path, bytes_ = value["path"], value["bytes"] + if bytes_ is None: + if path is None: + raise ValueError(f"An image should have one of 'path' or 'bytes' but both are None in {value}.") + else: + if is_local_path(path): + image = PIL.Image.open(path) + else: + source_url = path.split("::")[-1] + pattern = ( + config.HUB_DATASETS_URL + if source_url.startswith(config.HF_ENDPOINT) + else config.HUB_DATASETS_HFFS_URL + ) + source_url_fields = string_to_dict(source_url, pattern) + token = ( + token_per_repo_id.get(source_url_fields["repo_id"]) if source_url_fields is not None else None + ) + download_config = DownloadConfig(token=token) + with xopen(path, "rb", download_config=download_config) as f: + bytes_ = BytesIO(f.read()) + image = PIL.Image.open(bytes_) + else: + image = PIL.Image.open(BytesIO(bytes_)) + image.load() # to avoid "Too many open files" errors + if image.getexif().get(PIL.Image.ExifTags.Base.Orientation) is not None: + image = PIL.ImageOps.exif_transpose(image) + if self.mode and self.mode != image.mode: + image = image.convert(self.mode) + return image + + def flatten(self) -> Union["FeatureType", dict[str, "FeatureType"]]: + """If in the decodable state, return the feature itself, otherwise flatten the feature into a dictionary.""" + from .features import Value + + return ( + self + if self.decode + else { + "bytes": Value("binary"), + "path": Value("string"), + } + ) + + def cast_storage(self, storage: Union[pa.StringArray, pa.StructArray, pa.ListArray]) -> pa.StructArray: + """Cast an Arrow array to the Image arrow storage type. + The Arrow types that can be converted to the Image pyarrow storage type are: + + - `pa.string()` - it must contain the "path" data + - `pa.binary()` - it must contain the image bytes + - `pa.struct({"bytes": pa.binary()})` + - `pa.struct({"path": pa.string()})` + - `pa.struct({"bytes": pa.binary(), "path": pa.string()})` - order doesn't matter + - `pa.list(*)` - it must contain the image array data + + Args: + storage (`Union[pa.StringArray, pa.StructArray, pa.ListArray]`): + PyArrow array to cast. + + Returns: + `pa.StructArray`: Array in the Image arrow storage type, that is + `pa.struct({"bytes": pa.binary(), "path": pa.string()})`. + """ + if pa.types.is_string(storage.type): + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + storage = pa.StructArray.from_arrays([bytes_array, storage], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_binary(storage.type): + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([storage, path_array], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_struct(storage.type): + if storage.type.get_field_index("bytes") >= 0: + bytes_array = storage.field("bytes") + else: + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + if storage.type.get_field_index("path") >= 0: + path_array = storage.field("path") + else: + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_list(storage.type): + bytes_array = pa.array( + [encode_np_array(np.array(arr))["bytes"] if arr is not None else None for arr in storage.to_pylist()], + type=pa.binary(), + ) + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays( + [bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null() + ) + return array_cast(storage, self.pa_type) + + def embed_storage(self, storage: pa.StructArray) -> pa.StructArray: + """Embed image files into the Arrow array. + + Args: + storage (`pa.StructArray`): + PyArrow array to embed. + + Returns: + `pa.StructArray`: Array in the Image arrow storage type, that is + `pa.struct({"bytes": pa.binary(), "path": pa.string()})`. + """ + + @no_op_if_value_is_null + def path_to_bytes(path): + with xopen(path, "rb") as f: + bytes_ = f.read() + return bytes_ + + bytes_array = pa.array( + [ + (path_to_bytes(x["path"]) if x["bytes"] is None else x["bytes"]) if x is not None else None + for x in storage.to_pylist() + ], + type=pa.binary(), + ) + path_array = pa.array( + [os.path.basename(path) if path is not None else None for path in storage.field("path").to_pylist()], + type=pa.string(), + ) + storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null()) + return array_cast(storage, self.pa_type) + + +def list_image_compression_formats() -> list[str]: + if config.PIL_AVAILABLE: + import PIL.Image + else: + raise ImportError("To support encoding images, please install 'Pillow'.") + + global _IMAGE_COMPRESSION_FORMATS + if _IMAGE_COMPRESSION_FORMATS is None: + PIL.Image.init() + _IMAGE_COMPRESSION_FORMATS = list(set(PIL.Image.OPEN.keys()) & set(PIL.Image.SAVE.keys())) + return _IMAGE_COMPRESSION_FORMATS + + +def image_to_bytes(image: "PIL.Image.Image") -> bytes: + """Convert a PIL Image object to bytes using native compression if possible, otherwise use PNG/TIFF compression.""" + buffer = BytesIO() + if image.format in list_image_compression_formats(): + format = image.format + else: + format = "PNG" if image.mode in ["1", "L", "LA", "RGB", "RGBA"] else "TIFF" + image.save(buffer, format=format) + return buffer.getvalue() + + +def encode_pil_image(image: "PIL.Image.Image") -> dict: + if hasattr(image, "filename") and image.filename != "": + return {"path": image.filename, "bytes": None} + else: + return {"path": None, "bytes": image_to_bytes(image)} + + +def encode_np_array(array: np.ndarray) -> dict: + if config.PIL_AVAILABLE: + import PIL.Image + else: + raise ImportError("To support encoding images, please install 'Pillow'.") + + dtype = array.dtype + dtype_byteorder = dtype.byteorder if dtype.byteorder != "=" else _NATIVE_BYTEORDER + dtype_kind = dtype.kind + dtype_itemsize = dtype.itemsize + + dest_dtype = None + + # Multi-channel array case (only np.dtype("|u1") is allowed) + if array.shape[2:]: + if dtype_kind not in ["u", "i"]: + raise TypeError( + f"Unsupported array dtype {dtype} for image encoding. Only {dest_dtype} is supported for multi-channel arrays." + ) + dest_dtype = np.dtype("|u1") + if dtype != dest_dtype: + warnings.warn(f"Downcasting array dtype {dtype} to {dest_dtype} to be compatible with 'Pillow'") + # Exact match + elif dtype in _VALID_IMAGE_ARRAY_DTPYES: + dest_dtype = dtype + else: # Downcast the type within the kind (np.can_cast(from_type, to_type, casting="same_kind") doesn't behave as expected, so do it manually) + while dtype_itemsize >= 1: + dtype_str = dtype_byteorder + dtype_kind + str(dtype_itemsize) + if np.dtype(dtype_str) in _VALID_IMAGE_ARRAY_DTPYES: + dest_dtype = np.dtype(dtype_str) + warnings.warn(f"Downcasting array dtype {dtype} to {dest_dtype} to be compatible with 'Pillow'") + break + else: + dtype_itemsize //= 2 + if dest_dtype is None: + raise TypeError( + f"Cannot downcast dtype {dtype} to a valid image dtype. Valid image dtypes: {_VALID_IMAGE_ARRAY_DTPYES}" + ) + + image = PIL.Image.fromarray(array.astype(dest_dtype)) + return {"path": None, "bytes": image_to_bytes(image)} + + +def objects_to_list_of_image_dicts( + objs: Union[list[str], list[dict], list[np.ndarray], list["PIL.Image.Image"]], +) -> list[dict]: + """Encode a list of objects into a format suitable for creating an extension array of type `ImageExtensionType`.""" + if config.PIL_AVAILABLE: + import PIL.Image + else: + raise ImportError("To support encoding images, please install 'Pillow'.") + + if objs: + _, obj = first_non_null_value(objs) + if isinstance(obj, str): + return [{"path": obj, "bytes": None} if obj is not None else None for obj in objs] + if isinstance(obj, np.ndarray): + obj_to_image_dict_func = no_op_if_value_is_null(encode_np_array) + return [obj_to_image_dict_func(obj) for obj in objs] + elif isinstance(obj, PIL.Image.Image): + obj_to_image_dict_func = no_op_if_value_is_null(encode_pil_image) + return [obj_to_image_dict_func(obj) for obj in objs] + else: + return objs + else: + return objs diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/pdf.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/pdf.py new file mode 100644 index 0000000000000000000000000000000000000000..afba910387a886bcb6563986b7e2ab17aa9dcf48 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/pdf.py @@ -0,0 +1,238 @@ +import os +from dataclasses import dataclass, field +from io import BytesIO +from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Union + +import pyarrow as pa + +from .. import config +from ..download.download_config import DownloadConfig +from ..table import array_cast +from ..utils.file_utils import is_local_path, xopen +from ..utils.py_utils import string_to_dict + + +if TYPE_CHECKING: + import pdfplumber + + from .features import FeatureType + + +def pdf_to_bytes(pdf: "pdfplumber.pdf.PDF") -> bytes: + """Convert a pdfplumber.pdf.PDF object to bytes.""" + with BytesIO() as buffer: + for page in pdf.pages: + buffer.write(page.pdf.stream) + return buffer.getvalue() + + +@dataclass +class Pdf: + """ + **Experimental.** + Pdf [`Feature`] to read pdf documents from a pdf file. + + Input: The Pdf feature accepts as input: + - A `str`: Absolute path to the pdf file (i.e. random access is allowed). + - A `dict` with the keys: + - `path`: String with relative path of the pdf file in a dataset repository. + - `bytes`: Bytes of the pdf file. + This is useful for archived files with sequential access. + + - A `pdfplumber.pdf.PDF`: pdfplumber pdf object. + + Args: + mode (`str`, *optional*): + The mode to convert the pdf to. If `None`, the native mode of the pdf is used. + decode (`bool`, defaults to `True`): + Whether to decode the pdf data. If `False`, + returns the underlying dictionary in the format `{"path": pdf_path, "bytes": pdf_bytes}`. + + Examples: + + ```py + >>> from datasets import Dataset, Pdf + >>> ds = Dataset.from_dict({"pdf": ["path/to/pdf/file.pdf"]}).cast_column("pdf", Pdf()) + >>> ds.features["pdf"] + Pdf(decode=True, id=None) + >>> ds[0]["pdf"] + + >>> ds = ds.cast_column("pdf", Pdf(decode=False)) + >>> ds[0]["pdf"] + {'bytes': None, + 'path': 'path/to/pdf/file.pdf'} + ``` + """ + + decode: bool = True + id: Optional[str] = None + + # Automatically constructed + dtype: ClassVar[str] = "pdfplumber.pdf.PDF" + pa_type: ClassVar[Any] = pa.struct({"bytes": pa.binary(), "path": pa.string()}) + _type: str = field(default="Pdf", init=False, repr=False) + + def __call__(self): + return self.pa_type + + def encode_example(self, value: Union[str, bytes, bytearray, dict, "pdfplumber.pdf.PDF"]) -> dict: + """Encode example into a format for Arrow. + + Args: + value (`str`, `bytes`, `pdfplumber.pdf.PDF` or `dict`): + Data passed as input to Pdf feature. + + Returns: + `dict` with "path" and "bytes" fields + """ + if config.PDFPLUMBER_AVAILABLE: + import pdfplumber + else: + pdfplumber = None + + if isinstance(value, str): + return {"path": value, "bytes": None} + elif isinstance(value, (bytes, bytearray)): + return {"path": None, "bytes": value} + elif pdfplumber is not None and isinstance(value, pdfplumber.pdf.PDF): + # convert the pdfplumber.pdf.PDF to bytes + return encode_pdfplumber_pdf(value) + elif value.get("path") is not None and os.path.isfile(value["path"]): + # we set "bytes": None to not duplicate the data if they're already available locally + return {"bytes": None, "path": value.get("path")} + elif value.get("bytes") is not None or value.get("path") is not None: + # store the pdf bytes, and path is used to infer the pdf format using the file extension + return {"bytes": value.get("bytes"), "path": value.get("path")} + else: + raise ValueError( + f"A pdf sample should have one of 'path' or 'bytes' but they are missing or None in {value}." + ) + + def decode_example(self, value: dict, token_per_repo_id=None) -> "pdfplumber.pdf.PDF": + """Decode example pdf file into pdf data. + + Args: + value (`str` or `dict`): + A string with the absolute pdf file path, a dictionary with + keys: + + - `path`: String with absolute or relative pdf file path. + - `bytes`: The bytes of the pdf file. + + token_per_repo_id (`dict`, *optional*): + To access and decode pdf files from private repositories on + the Hub, you can pass a dictionary + repo_id (`str`) -> token (`bool` or `str`). + + Returns: + `pdfplumber.pdf.PDF` + """ + if not self.decode: + raise RuntimeError("Decoding is disabled for this feature. Please use Pdf(decode=True) instead.") + + if config.PDFPLUMBER_AVAILABLE: + import pdfplumber + else: + raise ImportError("To support decoding pdfs, please install 'pdfplumber'.") + + if token_per_repo_id is None: + token_per_repo_id = {} + + path, bytes_ = value["path"], value["bytes"] + if bytes_ is None: + if path is None: + raise ValueError(f"A pdf should have one of 'path' or 'bytes' but both are None in {value}.") + else: + if is_local_path(path): + pdf = pdfplumber.open(path) + else: + source_url = path.split("::")[-1] + pattern = ( + config.HUB_DATASETS_URL + if source_url.startswith(config.HF_ENDPOINT) + else config.HUB_DATASETS_HFFS_URL + ) + try: + repo_id = string_to_dict(source_url, pattern)["repo_id"] + token = token_per_repo_id.get(repo_id) + except ValueError: + token = None + download_config = DownloadConfig(token=token) + f = xopen(path, "rb", download_config=download_config) + return pdfplumber.open(f) + else: + with pdfplumber.open(BytesIO(bytes_)) as p: + pdf = p + + return pdf + + def flatten(self) -> Union["FeatureType", Dict[str, "FeatureType"]]: + """If in the decodable state, return the feature itself, otherwise flatten the feature into a dictionary.""" + from .features import Value + + return ( + self + if self.decode + else { + "bytes": Value("binary"), + "path": Value("string"), + } + ) + + def cast_storage(self, storage: Union[pa.StringArray, pa.StructArray, pa.ListArray]) -> pa.StructArray: + """Cast an Arrow array to the Pdf arrow storage type. + The Arrow types that can be converted to the Pdf pyarrow storage type are: + + - `pa.string()` - it must contain the "path" data + - `pa.binary()` - it must contain the image bytes + - `pa.struct({"bytes": pa.binary()})` + - `pa.struct({"path": pa.string()})` + - `pa.struct({"bytes": pa.binary(), "path": pa.string()})` - order doesn't matter + - `pa.list(*)` - it must contain the pdf array data + + Args: + storage (`Union[pa.StringArray, pa.StructArray, pa.ListArray]`): + PyArrow array to cast. + + Returns: + `pa.StructArray`: Array in the Pdf arrow storage type, that is + `pa.struct({"bytes": pa.binary(), "path": pa.string()})`. + """ + if pa.types.is_string(storage.type): + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + storage = pa.StructArray.from_arrays([bytes_array, storage], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_binary(storage.type): + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([storage, path_array], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_struct(storage.type): + if storage.type.get_field_index("bytes") >= 0: + bytes_array = storage.field("bytes") + else: + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + if storage.type.get_field_index("path") >= 0: + path_array = storage.field("path") + else: + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=storage.is_null()) + return array_cast(storage, self.pa_type) + + +def encode_pdfplumber_pdf(pdf: "pdfplumber.pdf.PDF") -> dict: + """ + Encode a pdfplumber.pdf.PDF object into a dictionary. + + If the PDF has an associated file path, returns the path. Otherwise, serializes + the PDF content into bytes. + + Args: + pdf (pdfplumber.pdf.PDF): A pdfplumber PDF object. + + Returns: + dict: A dictionary with "path" or "bytes" field. + """ + if hasattr(pdf, "stream") and hasattr(pdf.stream, "name") and pdf.stream.name: + # Return the path if the PDF has an associated file path + return {"path": pdf.stream.name, "bytes": None} + else: + # Convert the PDF to bytes if no path is available + return {"path": None, "bytes": pdf_to_bytes(pdf)} diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/translation.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/translation.py new file mode 100644 index 0000000000000000000000000000000000000000..3503fcdf56ba92903abd6248137427d780168dfd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/translation.py @@ -0,0 +1,129 @@ +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, Any, ClassVar, Optional, Union + +import pyarrow as pa + + +if TYPE_CHECKING: + from .features import FeatureType + + +@dataclass +class Translation: + """`Feature` for translations with fixed languages per example. + Here for compatibility with tfds. + + Args: + languages (`dict`): + A dictionary for each example mapping string language codes to string translations. + + Example: + + ```python + >>> # At construction time: + >>> datasets.features.Translation(languages=['en', 'fr', 'de']) + >>> # During data generation: + >>> yield { + ... 'en': 'the cat', + ... 'fr': 'le chat', + ... 'de': 'die katze' + ... } + ``` + """ + + languages: list[str] + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "dict" + pa_type: ClassVar[Any] = None + _type: str = field(default="Translation", init=False, repr=False) + + def __call__(self): + return pa.struct({lang: pa.string() for lang in sorted(self.languages)}) + + def flatten(self) -> Union["FeatureType", dict[str, "FeatureType"]]: + """Flatten the Translation feature into a dictionary.""" + from .features import Value + + return {k: Value("string") for k in sorted(self.languages)} + + +@dataclass +class TranslationVariableLanguages: + """`Feature` for translations with variable languages per example. + Here for compatibility with tfds. + + Args: + languages (`dict`): + A dictionary for each example mapping string language codes to one or more string translations. + The languages present may vary from example to example. + + Returns: + - `language` or `translation` (variable-length 1D `tf.Tensor` of `tf.string`): + Language codes sorted in ascending order or plain text translations, sorted to align with language codes. + + Example: + + ```python + >>> # At construction time: + >>> datasets.features.TranslationVariableLanguages(languages=['en', 'fr', 'de']) + >>> # During data generation: + >>> yield { + ... 'en': 'the cat', + ... 'fr': ['le chat', 'la chatte,'] + ... 'de': 'die katze' + ... } + >>> # Tensor returned : + >>> { + ... 'language': ['en', 'de', 'fr', 'fr'], + ... 'translation': ['the cat', 'die katze', 'la chatte', 'le chat'], + ... } + ``` + """ + + languages: Optional[list] = None + num_languages: Optional[int] = None + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "dict" + pa_type: ClassVar[Any] = None + _type: str = field(default="TranslationVariableLanguages", init=False, repr=False) + + def __post_init__(self): + self.languages = sorted(set(self.languages)) if self.languages else None + self.num_languages = len(self.languages) if self.languages else None + + def __call__(self): + return pa.struct({"language": pa.list_(pa.string()), "translation": pa.list_(pa.string())}) + + def encode_example(self, translation_dict): + lang_set = set(self.languages) + if set(translation_dict) == {"language", "translation"}: + return translation_dict + elif self.languages and set(translation_dict) - lang_set: + raise ValueError( + f"Some languages in example ({', '.join(sorted(set(translation_dict) - lang_set))}) are not in valid set ({', '.join(lang_set)})." + ) + + # Convert dictionary into tuples, splitting out cases where there are + # multiple translations for a single language. + translation_tuples = [] + for lang, text in translation_dict.items(): + if isinstance(text, str): + translation_tuples.append((lang, text)) + else: + translation_tuples.extend([(lang, el) for el in text]) + + # Ensure translations are in ascending order by language code. + languages, translations = zip(*sorted(translation_tuples)) + + return {"language": languages, "translation": translations} + + def flatten(self) -> Union["FeatureType", dict[str, "FeatureType"]]: + """Flatten the TranslationVariableLanguages feature into a dictionary.""" + from .features import Sequence, Value + + return { + "language": Sequence(Value("string")), + "translation": Sequence(Value("string")), + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/video.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/video.py new file mode 100644 index 0000000000000000000000000000000000000000..e8c5a0e4456fa6309776f0c900828a3521c6115b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/features/video.py @@ -0,0 +1,280 @@ +import os +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, Any, ClassVar, Optional, TypedDict, Union + +import numpy as np +import pyarrow as pa + +from .. import config +from ..download.download_config import DownloadConfig +from ..table import array_cast +from ..utils.file_utils import is_local_path, xopen +from ..utils.py_utils import string_to_dict + + +if TYPE_CHECKING: + from torchvision.io import VideoReader + + from .features import FeatureType + + +class Example(TypedDict): + path: Optional[str] + bytes: Optional[bytes] + + +@dataclass +class Video: + """ + **Experimental.** Video [`Feature`] to read video data from a video file. + + Input: The Video feature accepts as input: + - A `str`: Absolute path to the video file (i.e. random access is allowed). + - A `dict` with the keys: + + - `path`: String with relative path of the video file in a dataset repository. + - `bytes`: Bytes of the video file. + + This is useful for archived files with sequential access. + + - A `torchvision.io.VideoReader`: torchvision video reader object. + + Args: + mode (`str`, *optional*): + The mode to convert the video to. If `None`, the native mode of the video is used. + decode (`bool`, defaults to `True`): + Whether to decode the video data. If `False`, + returns the underlying dictionary in the format `{"path": video_path, "bytes": video_bytes}`. + + Examples: + + ```py + >>> from datasets import Dataset, Video + >>> ds = Dataset.from_dict({"video":["path/to/Screen Recording.mov"]}).cast_column("video", Video()) + >>> ds.features["video"] + Video(decode=True, id=None) + >>> ds[0]["video"] + + >>> ds = ds.cast_column('video', Video(decode=False)) + {'bytes': None, + 'path': 'path/to/Screen Recording.mov'} + ``` + """ + + decode: bool = True + id: Optional[str] = None + # Automatically constructed + dtype: ClassVar[str] = "torchvision.io.VideoReader" + pa_type: ClassVar[Any] = pa.struct({"bytes": pa.binary(), "path": pa.string()}) + _type: str = field(default="Video", init=False, repr=False) + + def __call__(self): + return self.pa_type + + def encode_example(self, value: Union[str, bytes, bytearray, Example, np.ndarray, "VideoReader"]) -> Example: + """Encode example into a format for Arrow. + + Args: + value (`str`, `np.ndarray`, `VideoReader` or `dict`): + Data passed as input to Video feature. + + Returns: + `dict` with "path" and "bytes" fields + """ + if config.TORCHVISION_AVAILABLE: + from torchvision.io import VideoReader + + else: + VideoReader = None + + if isinstance(value, list): + value = np.array(value) + + if isinstance(value, str): + return {"path": value, "bytes": None} + elif isinstance(value, (bytes, bytearray)): + return {"path": None, "bytes": value} + elif isinstance(value, np.ndarray): + # convert the video array to bytes + return encode_np_array(value) + elif VideoReader is not None and isinstance(value, VideoReader): + # convert the torchvision video reader to bytes + return encode_torchvision_video(value) + elif isinstance(value, dict): + path, bytes_ = value.get("path"), value.get("bytes") + if path is not None and os.path.isfile(path): + # we set "bytes": None to not duplicate the data if they're already available locally + return {"bytes": None, "path": path} + elif bytes_ is not None or path is not None: + # store the video bytes, and path is used to infer the video format using the file extension + return {"bytes": bytes_, "path": path} + else: + raise ValueError( + f"A video sample should have one of 'path' or 'bytes' but they are missing or None in {value}." + ) + else: + raise TypeError(f"Unsupported encode_example type: {type(value)}") + + def decode_example( + self, + value: Union[str, Example], + token_per_repo_id: Optional[dict[str, Union[bool, str]]] = None, + ) -> "VideoReader": + """Decode example video file into video data. + + Args: + value (`str` or `dict`): + A string with the absolute video file path, a dictionary with + keys: + + - `path`: String with absolute or relative video file path. + - `bytes`: The bytes of the video file. + token_per_repo_id (`dict`, *optional*): + To access and decode + video files from private repositories on the Hub, you can pass + a dictionary repo_id (`str`) -> token (`bool` or `str`). + + Returns: + `torchvision.io.VideoReader` + """ + if not self.decode: + raise RuntimeError("Decoding is disabled for this feature. Please use Video(decode=True) instead.") + + if config.TORCHVISION_AVAILABLE: + from torchvision.io import VideoReader + + else: + raise ImportError("To support decoding videos, please install 'torchvision'.") + + if token_per_repo_id is None: + token_per_repo_id = {} + + if isinstance(value, str): + path, bytes_ = value, None + else: + path, bytes_ = value["path"], value["bytes"] + + if bytes_ is None: + if path is None: + raise ValueError(f"A video should have one of 'path' or 'bytes' but both are None in {value}.") + elif is_local_path(path): + video = VideoReader(path) + else: + video = hf_video_reader(path, token_per_repo_id=token_per_repo_id) + else: + video = VideoReader(bytes_) + video._hf_encoded = {"path": path, "bytes": bytes_} + return video + + def flatten(self) -> Union["FeatureType", dict[str, "FeatureType"]]: + """If in the decodable state, return the feature itself, otherwise flatten the feature into a dictionary.""" + from .features import Value + + return ( + self + if self.decode + else { + "bytes": Value("binary"), + "path": Value("string"), + } + ) + + def cast_storage(self, storage: Union[pa.StringArray, pa.StructArray, pa.ListArray]) -> pa.StructArray: + """Cast an Arrow array to the Video arrow storage type. + The Arrow types that can be converted to the Video pyarrow storage type are: + + - `pa.string()` - it must contain the "path" data + - `pa.binary()` - it must contain the video bytes + - `pa.struct({"bytes": pa.binary()})` + - `pa.struct({"path": pa.string()})` + - `pa.struct({"bytes": pa.binary(), "path": pa.string()})` - order doesn't matter + - `pa.list(*)` - it must contain the video array data + + Args: + storage (`Union[pa.StringArray, pa.StructArray, pa.ListArray]`): + PyArrow array to cast. + + Returns: + `pa.StructArray`: Array in the Video arrow storage type, that is + `pa.struct({"bytes": pa.binary(), "path": pa.string()})`. + """ + if pa.types.is_string(storage.type): + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + storage = pa.StructArray.from_arrays([bytes_array, storage], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_binary(storage.type): + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([storage, path_array], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_struct(storage.type): + if storage.type.get_field_index("bytes") >= 0: + bytes_array = storage.field("bytes") + else: + bytes_array = pa.array([None] * len(storage), type=pa.binary()) + if storage.type.get_field_index("path") >= 0: + path_array = storage.field("path") + else: + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=storage.is_null()) + elif pa.types.is_list(storage.type): + bytes_array = pa.array( + [encode_np_array(np.array(arr))["bytes"] if arr is not None else None for arr in storage.to_pylist()], + type=pa.binary(), + ) + path_array = pa.array([None] * len(storage), type=pa.string()) + storage = pa.StructArray.from_arrays( + [bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null() + ) + return array_cast(storage, self.pa_type) + + +def video_to_bytes(video: "VideoReader") -> bytes: + """Convert a torchvision Video object to bytes using native compression if possible""" + raise NotImplementedError() + + +def encode_torchvision_video(video: "VideoReader") -> Example: + if hasattr(video, "_hf_encoded"): + return video._hf_encoded + else: + raise NotImplementedError( + "Encoding a VideoReader that doesn't come from datasets.Video.decode() is not implemented" + ) + + +def encode_np_array(array: np.ndarray) -> Example: + raise NotImplementedError() + + +# Patching torchvision a little bit to: +# 1. store the encoded video data {"path": ..., "bytes": ...} in `video._hf_encoded`` +# 2. add support for hf:// files +# This doesn't affect the normal usage of torchvision. + + +def hf_video_reader( + path: str, token_per_repo_id: Optional[dict[str, Union[bool, str]]] = None, stream: str = "video" +) -> "VideoReader": + import av + from torchvision import get_video_backend + from torchvision.io import VideoReader + + # Load the file from HF + if token_per_repo_id is None: + token_per_repo_id = {} + source_url = path.split("::")[-1] + pattern = config.HUB_DATASETS_URL if source_url.startswith(config.HF_ENDPOINT) else config.HUB_DATASETS_HFFS_URL + source_url_fields = string_to_dict(source_url, pattern) + token = token_per_repo_id.get(source_url_fields["repo_id"]) if source_url_fields is not None else None + download_config = DownloadConfig(token=token) + f = xopen(path, "rb", download_config=download_config) + + # Instantiate the VideoReader + vr = object.__new__(VideoReader) + vr.backend = get_video_backend() + if vr.backend != "pyav": + raise RuntimeError(f"Unsupported video backend for VideoReader from HF files: {vr.backend}") + vr.container = av.open(f, metadata_errors="ignore") + stream_type = stream.split(":")[0] + stream_id = 0 if len(stream.split(":")) == 1 else int(stream.split(":")[1]) + vr.pyav_stream = {stream_type: stream_id} + vr._c = vr.container.decode(**vr.pyav_stream) + return vr diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/filesystems/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/filesystems/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..d19d58bca1fd8f48e2ef9e5fcdfe17f7738692ac --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/filesystems/__init__.py @@ -0,0 +1,47 @@ +import importlib +import shutil +import warnings +from typing import List + +import fsspec +import fsspec.asyn +from fsspec.implementations.local import LocalFileSystem + +from . import compression + + +COMPRESSION_FILESYSTEMS: list[compression.BaseCompressedFileFileSystem] = [ + compression.Bz2FileSystem, + compression.GzipFileSystem, + compression.Lz4FileSystem, + compression.XzFileSystem, + compression.ZstdFileSystem, +] + +# Register custom filesystems +for fs_class in COMPRESSION_FILESYSTEMS: + if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class: + warnings.warn(f"A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.") + fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True) + + +def is_remote_filesystem(fs: fsspec.AbstractFileSystem) -> bool: + """ + Checks if `fs` is a remote filesystem. + + Args: + fs (`fsspec.spec.AbstractFileSystem`): + An abstract super-class for pythonic file-systems, e.g. `fsspec.filesystem(\'file\')` or `s3fs.S3FileSystem`. + """ + return not isinstance(fs, LocalFileSystem) + + +def rename(fs: fsspec.AbstractFileSystem, src: str, dst: str): + """ + Renames the file `src` in `fs` to `dst`. + """ + if not is_remote_filesystem(fs): + # LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory + shutil.move(fs._strip_protocol(src), fs._strip_protocol(dst)) + else: + fs.mv(src, dst, recursive=True) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/filesystems/compression.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/filesystems/compression.py new file mode 100644 index 0000000000000000000000000000000000000000..416d5b15f822dcfbaf0d37cac42ee61d3c0734d2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/filesystems/compression.py @@ -0,0 +1,127 @@ +import os +from functools import partial +from typing import Optional + +import fsspec +from fsspec.archive import AbstractArchiveFileSystem + + +class BaseCompressedFileFileSystem(AbstractArchiveFileSystem): + """Read contents of compressed file as a filesystem with one file inside.""" + + root_marker = "" + protocol: str = ( + None # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz + ) + compression: str = None # compression type in fsspec. ex: "gzip" + extension: str = None # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz + + def __init__( + self, fo: str = "", target_protocol: Optional[str] = None, target_options: Optional[dict] = None, **kwargs + ): + """ + The compressed file system can be instantiated from any compressed file. + It reads the contents of compressed file as a filesystem with one file inside, as if it was an archive. + + The single file inside the filesystem is named after the compresssed file, + without the compression extension at the end of the filename. + + Args: + fo (:obj:``str``): Path to compressed file. Will fetch file using ``fsspec.open()`` + mode (:obj:``str``): Currently, only 'rb' accepted + target_protocol(:obj:``str``, optional): To override the FS protocol inferred from a URL. + target_options (:obj:``dict``, optional): Kwargs passed when instantiating the target FS. + """ + super().__init__(self, **kwargs) + self.fo = fo.__fspath__() if hasattr(fo, "__fspath__") else fo + # always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode + self._open_with_fsspec = partial( + fsspec.open, + self.fo, + mode="rb", + protocol=target_protocol, + compression=self.compression, + client_kwargs={ + "requote_redirect_url": False, # see https://github.com/huggingface/datasets/pull/5459 + "trust_env": True, # Enable reading proxy env variables. + **(target_options or {}).pop("client_kwargs", {}), # To avoid issues if it was already passed. + }, + **(target_options or {}), + ) + self.compressed_name = os.path.basename(self.fo.split("::")[0]) + self.uncompressed_name = ( + self.compressed_name[: self.compressed_name.rindex(".")] + if "." in self.compressed_name + else self.compressed_name + ) + self.dir_cache = None + + @classmethod + def _strip_protocol(cls, path): + # compressed file paths are always relative to the archive root + return super()._strip_protocol(path).lstrip("/") + + def _get_dirs(self): + if self.dir_cache is None: + f = {**self._open_with_fsspec().fs.info(self.fo), "name": self.uncompressed_name} + self.dir_cache = {f["name"]: f} + + def cat(self, path: str): + with self._open_with_fsspec().open() as f: + return f.read() + + def _open( + self, + path: str, + mode: str = "rb", + block_size=None, + autocommit=True, + cache_options=None, + **kwargs, + ): + path = self._strip_protocol(path) + if mode != "rb": + raise ValueError(f"Tried to read with mode {mode} on file {self.fo} opened with mode 'rb'") + return self._open_with_fsspec().open() + + +class Bz2FileSystem(BaseCompressedFileFileSystem): + """Read contents of BZ2 file as a filesystem with one file inside.""" + + protocol = "bz2" + compression = "bz2" + extension = ".bz2" + + +class GzipFileSystem(BaseCompressedFileFileSystem): + """Read contents of GZIP file as a filesystem with one file inside.""" + + protocol = "gzip" + compression = "gzip" + extension = ".gz" + + +class Lz4FileSystem(BaseCompressedFileFileSystem): + """Read contents of LZ4 file as a filesystem with one file inside.""" + + protocol = "lz4" + compression = "lz4" + extension = ".lz4" + + +class XzFileSystem(BaseCompressedFileFileSystem): + """Read contents of .xz (LZMA) file as a filesystem with one file inside.""" + + protocol = "xz" + compression = "xz" + extension = ".xz" + + +class ZstdFileSystem(BaseCompressedFileFileSystem): + """ + Read contents of .zstd file as a filesystem with one file inside. + """ + + protocol = "zstd" + compression = "zstd" + extension = ".zst" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/fingerprint.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/fingerprint.py new file mode 100644 index 0000000000000000000000000000000000000000..93724bb68490b31d633f7a106cd2ee9e1f122dff --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/fingerprint.py @@ -0,0 +1,454 @@ +import inspect +import os +import random +import shutil +import tempfile +import weakref +from functools import wraps +from pathlib import Path +from typing import TYPE_CHECKING, Any, Callable, Optional, Union + +import numpy as np +import xxhash + +from . import config +from .naming import INVALID_WINDOWS_CHARACTERS_IN_PATH +from .utils._dill import dumps +from .utils.logging import get_logger + + +if TYPE_CHECKING: + from .arrow_dataset import Dataset + + +logger = get_logger(__name__) + + +# Fingerprinting allows to have one deterministic fingerprint per dataset state. +# A dataset fingerprint is updated after each transform. +# Re-running the same transforms on a dataset in a different session results in the same fingerprint. +# This is possible thanks to a custom hashing function that works with most python objects. + +# Fingerprinting is the main mechanism that enables caching. +# The caching mechanism allows to reload an existing cache file if it's already been computed. + + +################# +# Caching +################# + +_CACHING_ENABLED = True +_TEMP_DIR_FOR_TEMP_CACHE_FILES: Optional["_TempCacheDir"] = None +_DATASETS_WITH_TABLE_IN_TEMP_DIR: Optional[weakref.WeakSet] = None + + +class _TempCacheDir: + """ + A temporary directory for storing cached Arrow files with a cleanup that frees references to the Arrow files + before deleting the directory itself to avoid permission errors on Windows. + """ + + def __init__(self): + self.name = tempfile.mkdtemp(prefix=config.TEMP_CACHE_DIR_PREFIX) + self._finalizer = weakref.finalize(self, self._cleanup) + + def _cleanup(self): + for dset in get_datasets_with_cache_file_in_temp_dir(): + dset.__del__() + if os.path.exists(self.name): + try: + shutil.rmtree(self.name) + except Exception as e: + raise OSError( + f"An error occured while trying to delete temporary cache directory {self.name}. Please delete it manually." + ) from e + + def cleanup(self): + if self._finalizer.detach(): + self._cleanup() + + +def maybe_register_dataset_for_temp_dir_deletion(dataset): + """ + This function registers the datasets that have cache files in _TEMP_DIR_FOR_TEMP_CACHE_FILES in order + to properly delete them before deleting the temporary directory. + The temporary directory _TEMP_DIR_FOR_TEMP_CACHE_FILES is used when caching is disabled. + """ + if _TEMP_DIR_FOR_TEMP_CACHE_FILES is None: + return + + global _DATASETS_WITH_TABLE_IN_TEMP_DIR + if _DATASETS_WITH_TABLE_IN_TEMP_DIR is None: + _DATASETS_WITH_TABLE_IN_TEMP_DIR = weakref.WeakSet() + if any( + Path(_TEMP_DIR_FOR_TEMP_CACHE_FILES.name) in Path(cache_file["filename"]).parents + for cache_file in dataset.cache_files + ): + _DATASETS_WITH_TABLE_IN_TEMP_DIR.add(dataset) + + +def get_datasets_with_cache_file_in_temp_dir(): + return list(_DATASETS_WITH_TABLE_IN_TEMP_DIR) if _DATASETS_WITH_TABLE_IN_TEMP_DIR is not None else [] + + +def enable_caching(): + """ + When applying transforms on a dataset, the data are stored in cache files. + The caching mechanism allows to reload an existing cache file if it's already been computed. + + Reloading a dataset is possible since the cache files are named using the dataset fingerprint, which is updated + after each transform. + + If disabled, the library will no longer reload cached datasets files when applying transforms to the datasets. + More precisely, if the caching is disabled: + - cache files are always recreated + - cache files are written to a temporary directory that is deleted when session closes + - cache files are named using a random hash instead of the dataset fingerprint + - use [`~datasets.Dataset.save_to_disk`] to save a transformed dataset or it will be deleted when session closes + - caching doesn't affect [`~datasets.load_dataset`]. If you want to regenerate a dataset from scratch you should use + the `download_mode` parameter in [`~datasets.load_dataset`]. + """ + global _CACHING_ENABLED + _CACHING_ENABLED = True + + +def disable_caching(): + """ + When applying transforms on a dataset, the data are stored in cache files. + The caching mechanism allows to reload an existing cache file if it's already been computed. + + Reloading a dataset is possible since the cache files are named using the dataset fingerprint, which is updated + after each transform. + + If disabled, the library will no longer reload cached datasets files when applying transforms to the datasets. + More precisely, if the caching is disabled: + - cache files are always recreated + - cache files are written to a temporary directory that is deleted when session closes + - cache files are named using a random hash instead of the dataset fingerprint + - use [`~datasets.Dataset.save_to_disk`] to save a transformed dataset or it will be deleted when session closes + - caching doesn't affect [`~datasets.load_dataset`]. If you want to regenerate a dataset from scratch you should use + the `download_mode` parameter in [`~datasets.load_dataset`]. + """ + global _CACHING_ENABLED + _CACHING_ENABLED = False + + +def is_caching_enabled() -> bool: + """ + When applying transforms on a dataset, the data are stored in cache files. + The caching mechanism allows to reload an existing cache file if it's already been computed. + + Reloading a dataset is possible since the cache files are named using the dataset fingerprint, which is updated + after each transform. + + If disabled, the library will no longer reload cached datasets files when applying transforms to the datasets. + More precisely, if the caching is disabled: + - cache files are always recreated + - cache files are written to a temporary directory that is deleted when session closes + - cache files are named using a random hash instead of the dataset fingerprint + - use [`~datasets.Dataset.save_to_disk`]] to save a transformed dataset or it will be deleted when session closes + - caching doesn't affect [`~datasets.load_dataset`]. If you want to regenerate a dataset from scratch you should use + the `download_mode` parameter in [`~datasets.load_dataset`]. + """ + global _CACHING_ENABLED + return bool(_CACHING_ENABLED) + + +def get_temporary_cache_files_directory() -> str: + """Return a directory that is deleted when session closes.""" + global _TEMP_DIR_FOR_TEMP_CACHE_FILES + if _TEMP_DIR_FOR_TEMP_CACHE_FILES is None: + _TEMP_DIR_FOR_TEMP_CACHE_FILES = _TempCacheDir() + return _TEMP_DIR_FOR_TEMP_CACHE_FILES.name + + +################# +# Hashing +################# + + +class Hasher: + """Hasher that accepts python objects as inputs.""" + + dispatch: dict = {} + + def __init__(self): + self.m = xxhash.xxh64() + + @classmethod + def hash_bytes(cls, value: Union[bytes, list[bytes]]) -> str: + value = [value] if isinstance(value, bytes) else value + m = xxhash.xxh64() + for x in value: + m.update(x) + return m.hexdigest() + + @classmethod + def hash(cls, value: Any) -> str: + return cls.hash_bytes(dumps(value)) + + def update(self, value: Any) -> None: + header_for_update = f"=={type(value)}==" + value_for_update = self.hash(value) + self.m.update(header_for_update.encode("utf8")) + self.m.update(value_for_update.encode("utf-8")) + + def hexdigest(self) -> str: + return self.m.hexdigest() + + +################# +# Fingerprinting +################# + +fingerprint_rng = random.Random() +# we show a warning only once when fingerprinting fails to avoid spam +fingerprint_warnings: dict[str, bool] = {} + + +def generate_fingerprint(dataset: "Dataset") -> str: + state = dataset.__dict__ + hasher = Hasher() + for key in sorted(state): + if key == "_fingerprint": + continue + hasher.update(key) + hasher.update(state[key]) + # hash data files last modification timestamps as well + for cache_file in dataset.cache_files: + hasher.update(os.path.getmtime(cache_file["filename"])) + return hasher.hexdigest() + + +def generate_random_fingerprint(nbits: int = 64) -> str: + return f"{fingerprint_rng.getrandbits(nbits):0{nbits // 4}x}" + + +def update_fingerprint(fingerprint, transform, transform_args): + global fingerprint_warnings + hasher = Hasher() + hasher.update(fingerprint) + try: + hasher.update(transform) + except: # noqa various errors might raise here from pickle or dill + if _CACHING_ENABLED: + if not fingerprint_warnings.get("update_fingerprint_transform_hash_failed", False): + logger.warning( + f"Transform {transform} couldn't be hashed properly, a random hash was used instead. " + "Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. " + "If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything. " + "This warning is only showed once. Subsequent hashing failures won't be showed." + ) + fingerprint_warnings["update_fingerprint_transform_hash_failed"] = True + else: + logger.info(f"Transform {transform} couldn't be hashed properly, a random hash was used instead.") + else: + logger.info( + f"Transform {transform} couldn't be hashed properly, a random hash was used instead. This doesn't affect caching since it's disabled." + ) + + return generate_random_fingerprint() + for key in sorted(transform_args): + hasher.update(key) + try: + hasher.update(transform_args[key]) + except: # noqa various errors might raise here from pickle or dill + if _CACHING_ENABLED: + if not fingerprint_warnings.get("update_fingerprint_transform_hash_failed", False): + logger.warning( + f"Parameter '{key}'={transform_args[key]} of the transform {transform} couldn't be hashed properly, a random hash was used instead. " + "Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. " + "If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything. " + "This warning is only showed once. Subsequent hashing failures won't be showed." + ) + fingerprint_warnings["update_fingerprint_transform_hash_failed"] = True + else: + logger.info( + f"Parameter '{key}'={transform_args[key]} of the transform {transform} couldn't be hashed properly, a random hash was used instead." + ) + else: + logger.info( + f"Parameter '{key}'={transform_args[key]} of the transform {transform} couldn't be hashed properly, a random hash was used instead. This doesn't affect caching since it's disabled." + ) + return generate_random_fingerprint() + return hasher.hexdigest() + + +def validate_fingerprint(fingerprint: str, max_length=64): + """ + Make sure the fingerprint is a non-empty string that is not longer that max_length=64 by default, + so that the fingerprint can be used to name cache files without issues. + """ + if not isinstance(fingerprint, str) or not fingerprint: + raise ValueError(f"Invalid fingerprint '{fingerprint}': it should be a non-empty string.") + for invalid_char in INVALID_WINDOWS_CHARACTERS_IN_PATH: + if invalid_char in fingerprint: + raise ValueError( + f"Invalid fingerprint. Bad characters from black list '{INVALID_WINDOWS_CHARACTERS_IN_PATH}' found in '{fingerprint}'. " + f"They could create issues when creating cache files." + ) + if len(fingerprint) > max_length: + raise ValueError( + f"Invalid fingerprint. Maximum lenth is {max_length} but '{fingerprint}' has length {len(fingerprint)}." + "It could create issues when creating cache files." + ) + + +def format_transform_for_fingerprint(func: Callable, version: Optional[str] = None) -> str: + """ + Format a transform to the format that will be used to update the fingerprint. + """ + transform = f"{func.__module__}.{func.__qualname__}" + if version is not None: + transform += f"@{version}" + return transform + + +def format_kwargs_for_fingerprint( + func: Callable, + args: tuple, + kwargs: dict[str, Any], + use_kwargs: Optional[list[str]] = None, + ignore_kwargs: Optional[list[str]] = None, + randomized_function: bool = False, +) -> dict[str, Any]: + """ + Format the kwargs of a transform to the format that will be used to update the fingerprint. + """ + kwargs_for_fingerprint = kwargs.copy() + if args: + params = [p.name for p in inspect.signature(func).parameters.values() if p != p.VAR_KEYWORD] + args = args[1:] # assume the first argument is the dataset + params = params[1:] + kwargs_for_fingerprint.update(zip(params, args)) + else: + del kwargs_for_fingerprint[ + next(iter(inspect.signature(func).parameters)) + ] # assume the first key is the dataset + + # keep the right kwargs to be hashed to generate the fingerprint + + if use_kwargs: + kwargs_for_fingerprint = {k: v for k, v in kwargs_for_fingerprint.items() if k in use_kwargs} + if ignore_kwargs: + kwargs_for_fingerprint = {k: v for k, v in kwargs_for_fingerprint.items() if k not in ignore_kwargs} + if randomized_function: # randomized functions have `seed` and `generator` parameters + if kwargs_for_fingerprint.get("seed") is None and kwargs_for_fingerprint.get("generator") is None: + _, seed, pos, *_ = np.random.get_state() + seed = seed[pos] if pos < 624 else seed[0] + kwargs_for_fingerprint["generator"] = np.random.default_rng(seed) + + # remove kwargs that are the default values + + default_values = { + p.name: p.default for p in inspect.signature(func).parameters.values() if p.default != inspect._empty + } + for default_varname, default_value in default_values.items(): + if default_varname in kwargs_for_fingerprint and kwargs_for_fingerprint[default_varname] == default_value: + kwargs_for_fingerprint.pop(default_varname) + return kwargs_for_fingerprint + + +def fingerprint_transform( + inplace: bool, + use_kwargs: Optional[list[str]] = None, + ignore_kwargs: Optional[list[str]] = None, + fingerprint_names: Optional[list[str]] = None, + randomized_function: bool = False, + version: Optional[str] = None, +): + """ + Wrapper for dataset transforms to update the dataset fingerprint using ``update_fingerprint`` + Args: + inplace (:obj:`bool`): If inplace is True, the fingerprint of the dataset is updated inplace. + Otherwise, a parameter "new_fingerprint" is passed to the wrapped method that should take care of + setting the fingerprint of the returned Dataset. + use_kwargs (:obj:`List[str]`, optional): optional white list of argument names to take into account + to update the fingerprint to the wrapped method that should take care of + setting the fingerprint of the returned Dataset. By default all the arguments are used. + ignore_kwargs (:obj:`List[str]`, optional): optional black list of argument names to take into account + to update the fingerprint. Note that ignore_kwargs prevails on use_kwargs. + fingerprint_names (:obj:`List[str]`, optional, defaults to ["new_fingerprint"]): + If the dataset transforms is not inplace and returns a DatasetDict, then it can require + several fingerprints (one per dataset in the DatasetDict). By specifying fingerprint_names, + one fingerprint named after each element of fingerprint_names is going to be passed. + randomized_function (:obj:`bool`, defaults to False): If the dataset transform is random and has + optional parameters "seed" and "generator", then you can set randomized_function to True. + This way, even if users set "seed" and "generator" to None, then the fingerprint is + going to be randomly generated depending on numpy's current state. In this case, the + generator is set to np.random.default_rng(np.random.get_state()[1][0]). + version (:obj:`str`, optional): version of the transform. The version is taken into account when + computing the fingerprint. If a datase transform changes (or at least if the output data + that are cached changes), then one should increase the version. If the version stays the + same, then old cached data could be reused that are not compatible with the new transform. + It should be in the format "MAJOR.MINOR.PATCH". + """ + + if use_kwargs is not None and not isinstance(use_kwargs, list): + raise ValueError(f"use_kwargs is supposed to be a list, not {type(use_kwargs)}") + + if ignore_kwargs is not None and not isinstance(ignore_kwargs, list): + raise ValueError(f"ignore_kwargs is supposed to be a list, not {type(use_kwargs)}") + + if inplace and fingerprint_names: + raise ValueError("fingerprint_names are only used when inplace is False") + + fingerprint_names = fingerprint_names if fingerprint_names is not None else ["new_fingerprint"] + + def _fingerprint(func): + if not inplace and not all(name in func.__code__.co_varnames for name in fingerprint_names): + raise ValueError(f"function {func} is missing parameters {fingerprint_names} in signature") + + if randomized_function: # randomized function have seed and generator parameters + if "seed" not in func.__code__.co_varnames: + raise ValueError(f"'seed' must be in {func}'s signature") + if "generator" not in func.__code__.co_varnames: + raise ValueError(f"'generator' must be in {func}'s signature") + # this call has to be outside the wrapper or since __qualname__ changes in multiprocessing + transform = format_transform_for_fingerprint(func, version=version) + + @wraps(func) + def wrapper(*args, **kwargs): + kwargs_for_fingerprint = format_kwargs_for_fingerprint( + func, + args, + kwargs, + use_kwargs=use_kwargs, + ignore_kwargs=ignore_kwargs, + randomized_function=randomized_function, + ) + + if args: + dataset: Dataset = args[0] + args = args[1:] + else: + dataset: Dataset = kwargs.pop(next(iter(inspect.signature(func).parameters))) + + # compute new_fingerprint and add it to the args of not in-place transforms + if inplace: + new_fingerprint = update_fingerprint(dataset._fingerprint, transform, kwargs_for_fingerprint) + else: + for fingerprint_name in fingerprint_names: # transforms like `train_test_split` have several hashes + if kwargs.get(fingerprint_name) is None: + kwargs_for_fingerprint["fingerprint_name"] = fingerprint_name + kwargs[fingerprint_name] = update_fingerprint( + dataset._fingerprint, transform, kwargs_for_fingerprint + ) + else: + validate_fingerprint(kwargs[fingerprint_name]) + + # Call actual function + + out = func(dataset, *args, **kwargs) + + # Update fingerprint of in-place transforms + update in-place history of transforms + + if inplace: # update after calling func so that the fingerprint doesn't change if the function fails + dataset._fingerprint = new_fingerprint + + return out + + wrapper._decorator_name_ = "fingerprint" + return wrapper + + return _fingerprint diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e29421df342f172cece9e28ff619c7760b34c6a0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/__init__.py @@ -0,0 +1,136 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import Dict, List, Optional, Type + +from .. import config +from ..utils import logging +from .formatting import ( + ArrowFormatter, + CustomFormatter, + Formatter, + PandasFormatter, + PythonFormatter, + TableFormatter, + TensorFormatter, + format_table, + query_table, +) +from .np_formatter import NumpyFormatter + + +logger = logging.get_logger(__name__) + +_FORMAT_TYPES: dict[Optional[str], type[Formatter]] = {} +_FORMAT_TYPES_ALIASES: dict[Optional[str], str] = {} +_FORMAT_TYPES_ALIASES_UNAVAILABLE: dict[Optional[str], Exception] = {} + + +def _register_formatter( + formatter_cls: type, + format_type: Optional[str], + aliases: Optional[list[str]] = None, +): + """ + Register a Formatter object using a name and optional aliases. + This function must be used on a Formatter class. + """ + aliases = aliases if aliases is not None else [] + if format_type in _FORMAT_TYPES: + logger.warning( + f"Overwriting format type '{format_type}' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})" + ) + _FORMAT_TYPES[format_type] = formatter_cls + for alias in set(aliases + [format_type]): + if alias in _FORMAT_TYPES_ALIASES: + logger.warning( + f"Overwriting format type alias '{alias}' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})" + ) + _FORMAT_TYPES_ALIASES[alias] = format_type + + +def _register_unavailable_formatter( + unavailable_error: Exception, format_type: Optional[str], aliases: Optional[list[str]] = None +): + """ + Register an unavailable Formatter object using a name and optional aliases. + This function must be used on an Exception object that is raised when trying to get the unavailable formatter. + """ + aliases = aliases if aliases is not None else [] + for alias in set(aliases + [format_type]): + _FORMAT_TYPES_ALIASES_UNAVAILABLE[alias] = unavailable_error + + +# Here we define all the available formatting functions that can be used by `Dataset.set_format` +_register_formatter(PythonFormatter, None, aliases=["python"]) +_register_formatter(ArrowFormatter, "arrow", aliases=["pa", "pyarrow"]) +_register_formatter(NumpyFormatter, "numpy", aliases=["np"]) +_register_formatter(PandasFormatter, "pandas", aliases=["pd"]) +_register_formatter(CustomFormatter, "custom") + +if config.POLARS_AVAILABLE: + from .polars_formatter import PolarsFormatter + + _register_formatter(PolarsFormatter, "polars", aliases=["pl"]) +else: + _polars_error = ValueError("Polars needs to be installed to be able to return Polars dataframes.") + _register_unavailable_formatter(_polars_error, "polars", aliases=["pl"]) + +if config.TORCH_AVAILABLE: + from .torch_formatter import TorchFormatter + + _register_formatter(TorchFormatter, "torch", aliases=["pt", "pytorch"]) +else: + _torch_error = ValueError("PyTorch needs to be installed to be able to return PyTorch tensors.") + _register_unavailable_formatter(_torch_error, "torch", aliases=["pt", "pytorch"]) + +if config.TF_AVAILABLE: + from .tf_formatter import TFFormatter + + _register_formatter(TFFormatter, "tensorflow", aliases=["tf"]) +else: + _tf_error = ValueError("Tensorflow needs to be installed to be able to return Tensorflow tensors.") + _register_unavailable_formatter(_tf_error, "tensorflow", aliases=["tf"]) + +if config.JAX_AVAILABLE: + from .jax_formatter import JaxFormatter + + _register_formatter(JaxFormatter, "jax", aliases=[]) +else: + _jax_error = ValueError("JAX needs to be installed to be able to return JAX arrays.") + _register_unavailable_formatter(_jax_error, "jax", aliases=[]) + + +def get_format_type_from_alias(format_type: Optional[str]) -> Optional[str]: + """If the given format type is a known alias, then return its main type name. Otherwise return the type with no change.""" + if format_type in _FORMAT_TYPES_ALIASES: + return _FORMAT_TYPES_ALIASES[format_type] + else: + return format_type + + +def get_formatter(format_type: Optional[str], **format_kwargs) -> Formatter: + """ + Factory function to get a Formatter given its type name and keyword arguments. + A formatter is an object that extracts and formats data from pyarrow table. + It defines the formatting for rows, columns and batches. + If the formatter for a given type name doesn't exist or is not available, an error is raised. + """ + format_type = get_format_type_from_alias(format_type) + if format_type in _FORMAT_TYPES: + return _FORMAT_TYPES[format_type](**format_kwargs) + if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE: + raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type] + else: + raise ValueError(f"Format type should be one of {list(_FORMAT_TYPES.keys())}, but got '{format_type}'") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/formatting.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/formatting.py new file mode 100644 index 0000000000000000000000000000000000000000..f8fc92c9d1f1df0b344071763bcddc5e7175f33c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/formatting.py @@ -0,0 +1,673 @@ +# Copyright 2020 The HuggingFace Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import operator +from collections.abc import Iterable, Mapping, MutableMapping +from functools import partial + +# Lint as: python3 +from typing import Any, Callable, Generic, Optional, TypeVar, Union + +import numpy as np +import pandas as pd +import pyarrow as pa + +from ..features import Features +from ..features.features import _ArrayXDExtensionType, _is_zero_copy_only, decode_nested_example, pandas_types_mapper +from ..table import Table +from ..utils.py_utils import no_op_if_value_is_null + + +T = TypeVar("T") + +RowFormat = TypeVar("RowFormat") +ColumnFormat = TypeVar("ColumnFormat") +BatchFormat = TypeVar("BatchFormat") + + +def _is_range_contiguous(key: range) -> bool: + return key.step == 1 and key.stop >= key.start + + +def _raise_bad_key_type(key: Any): + raise TypeError( + f"Wrong key type: '{key}' of type '{type(key)}'. Expected one of int, slice, range, str or Iterable." + ) + + +def _query_table_with_indices_mapping( + table: Table, key: Union[int, slice, range, str, Iterable], indices: Table +) -> pa.Table: + """ + Query a pyarrow Table to extract the subtable that correspond to the given key. + The :obj:`indices` parameter corresponds to the indices mapping in case we cant to take into + account a shuffling or an indices selection for example. + The indices table must contain one column named "indices" of type uint64. + """ + if isinstance(key, int): + key = indices.fast_slice(key % indices.num_rows, 1).column(0)[0].as_py() + return _query_table(table, key) + if isinstance(key, slice): + key = range(*key.indices(indices.num_rows)) + if isinstance(key, range): + if _is_range_contiguous(key) and key.start >= 0: + return _query_table( + table, [i.as_py() for i in indices.fast_slice(key.start, key.stop - key.start).column(0)] + ) + else: + pass # treat as an iterable + if isinstance(key, str): + table = table.select([key]) + return _query_table(table, indices.column(0).to_pylist()) + if isinstance(key, Iterable): + return _query_table(table, [indices.fast_slice(i, 1).column(0)[0].as_py() for i in key]) + + _raise_bad_key_type(key) + + +def _query_table(table: Table, key: Union[int, slice, range, str, Iterable]) -> pa.Table: + """ + Query a pyarrow Table to extract the subtable that correspond to the given key. + """ + if isinstance(key, int): + return table.fast_slice(key % table.num_rows, 1) + if isinstance(key, slice): + key = range(*key.indices(table.num_rows)) + if isinstance(key, range): + if _is_range_contiguous(key) and key.start >= 0: + return table.fast_slice(key.start, key.stop - key.start) + else: + pass # treat as an iterable + if isinstance(key, str): + return table.table.drop([column for column in table.column_names if column != key]) + if isinstance(key, Iterable): + key = np.fromiter(key, np.int64) + if len(key) == 0: + return table.table.slice(0, 0) + # don't use pyarrow.Table.take even for pyarrow >=1.0 (see https://issues.apache.org/jira/browse/ARROW-9773) + return table.fast_gather(key % table.num_rows) + + _raise_bad_key_type(key) + + +def _is_array_with_nulls(pa_array: pa.Array) -> bool: + return pa_array.null_count > 0 + + +class BaseArrowExtractor(Generic[RowFormat, ColumnFormat, BatchFormat]): + """ + Arrow extractor are used to extract data from pyarrow tables. + It makes it possible to extract rows, columns and batches. + These three extractions types have to be implemented. + """ + + def extract_row(self, pa_table: pa.Table) -> RowFormat: + raise NotImplementedError + + def extract_column(self, pa_table: pa.Table) -> ColumnFormat: + raise NotImplementedError + + def extract_batch(self, pa_table: pa.Table) -> BatchFormat: + raise NotImplementedError + + +def _unnest(py_dict: dict[str, list[T]]) -> dict[str, T]: + """Return the first element of a batch (dict) as a row (dict)""" + return {key: array[0] for key, array in py_dict.items()} + + +class SimpleArrowExtractor(BaseArrowExtractor[pa.Table, pa.Array, pa.Table]): + def extract_row(self, pa_table: pa.Table) -> pa.Table: + return pa_table + + def extract_column(self, pa_table: pa.Table) -> pa.Array: + return pa_table.column(0) + + def extract_batch(self, pa_table: pa.Table) -> pa.Table: + return pa_table + + +class PythonArrowExtractor(BaseArrowExtractor[dict, list, dict]): + def extract_row(self, pa_table: pa.Table) -> dict: + return _unnest(pa_table.to_pydict()) + + def extract_column(self, pa_table: pa.Table) -> list: + return pa_table.column(0).to_pylist() + + def extract_batch(self, pa_table: pa.Table) -> dict: + return pa_table.to_pydict() + + +class NumpyArrowExtractor(BaseArrowExtractor[dict, np.ndarray, dict]): + def __init__(self, **np_array_kwargs): + self.np_array_kwargs = np_array_kwargs + + def extract_row(self, pa_table: pa.Table) -> dict: + return _unnest(self.extract_batch(pa_table)) + + def extract_column(self, pa_table: pa.Table) -> np.ndarray: + return self._arrow_array_to_numpy(pa_table[pa_table.column_names[0]]) + + def extract_batch(self, pa_table: pa.Table) -> dict: + return {col: self._arrow_array_to_numpy(pa_table[col]) for col in pa_table.column_names} + + def _arrow_array_to_numpy(self, pa_array: pa.Array) -> np.ndarray: + if isinstance(pa_array, pa.ChunkedArray): + if isinstance(pa_array.type, _ArrayXDExtensionType): + # don't call to_pylist() to preserve dtype of the fixed-size array + zero_copy_only = _is_zero_copy_only(pa_array.type.storage_dtype, unnest=True) + array: list = [ + row for chunk in pa_array.chunks for row in chunk.to_numpy(zero_copy_only=zero_copy_only) + ] + else: + zero_copy_only = _is_zero_copy_only(pa_array.type) and all( + not _is_array_with_nulls(chunk) for chunk in pa_array.chunks + ) + array: list = [ + row for chunk in pa_array.chunks for row in chunk.to_numpy(zero_copy_only=zero_copy_only) + ] + else: + if isinstance(pa_array.type, _ArrayXDExtensionType): + # don't call to_pylist() to preserve dtype of the fixed-size array + zero_copy_only = _is_zero_copy_only(pa_array.type.storage_dtype, unnest=True) + array: list = pa_array.to_numpy(zero_copy_only=zero_copy_only) + else: + zero_copy_only = _is_zero_copy_only(pa_array.type) and not _is_array_with_nulls(pa_array) + array: list = pa_array.to_numpy(zero_copy_only=zero_copy_only).tolist() + + if len(array) > 0: + if any( + (isinstance(x, np.ndarray) and (x.dtype == object or x.shape != array[0].shape)) + or (isinstance(x, float) and np.isnan(x)) + for x in array + ): + if np.lib.NumpyVersion(np.__version__) >= "2.0.0b1": + return np.asarray(array, dtype=object) + return np.array(array, copy=False, dtype=object) + if np.lib.NumpyVersion(np.__version__) >= "2.0.0b1": + return np.asarray(array) + else: + return np.array(array, copy=False) + + +class PandasArrowExtractor(BaseArrowExtractor[pd.DataFrame, pd.Series, pd.DataFrame]): + def extract_row(self, pa_table: pa.Table) -> pd.DataFrame: + return pa_table.slice(length=1).to_pandas(types_mapper=pandas_types_mapper) + + def extract_column(self, pa_table: pa.Table) -> pd.Series: + return pa_table.select([0]).to_pandas(types_mapper=pandas_types_mapper)[pa_table.column_names[0]] + + def extract_batch(self, pa_table: pa.Table) -> pd.DataFrame: + return pa_table.to_pandas(types_mapper=pandas_types_mapper) + + +class PythonFeaturesDecoder: + def __init__( + self, features: Optional[Features], token_per_repo_id: Optional[dict[str, Union[str, bool, None]]] = None + ): + self.features = features + self.token_per_repo_id = token_per_repo_id + + def decode_row(self, row: dict) -> dict: + return self.features.decode_example(row, token_per_repo_id=self.token_per_repo_id) if self.features else row + + def decode_column(self, column: list, column_name: str) -> list: + return self.features.decode_column(column, column_name) if self.features else column + + def decode_batch(self, batch: dict) -> dict: + return self.features.decode_batch(batch) if self.features else batch + + +class PandasFeaturesDecoder: + def __init__(self, features: Optional[Features]): + self.features = features + + def decode_row(self, row: pd.DataFrame) -> pd.DataFrame: + decode = ( + { + column_name: no_op_if_value_is_null(partial(decode_nested_example, feature)) + for column_name, feature in self.features.items() + if self.features._column_requires_decoding[column_name] + } + if self.features + else {} + ) + if decode: + row[list(decode.keys())] = row.transform(decode) + return row + + def decode_column(self, column: pd.Series, column_name: str) -> pd.Series: + decode = ( + no_op_if_value_is_null(partial(decode_nested_example, self.features[column_name])) + if self.features and column_name in self.features and self.features._column_requires_decoding[column_name] + else None + ) + if decode: + column = column.transform(decode) + return column + + def decode_batch(self, batch: pd.DataFrame) -> pd.DataFrame: + return self.decode_row(batch) + + +class LazyDict(MutableMapping): + """A dictionary backed by Arrow data. The values are formatted on-the-fly when accessing the dictionary.""" + + def __init__(self, pa_table: pa.Table, formatter: "Formatter"): + self.pa_table = pa_table + self.formatter = formatter + + self.data = dict.fromkeys(pa_table.column_names) + self.keys_to_format = set(self.data.keys()) + + def __len__(self): + return len(self.data) + + def __getitem__(self, key): + value = self.data[key] + if key in self.keys_to_format: + value = self.format(key) + self.data[key] = value + self.keys_to_format.remove(key) + return value + + def __setitem__(self, key, value): + if key in self.keys_to_format: + self.keys_to_format.remove(key) + self.data[key] = value + + def __delitem__(self, key) -> None: + if key in self.keys_to_format: + self.keys_to_format.remove(key) + del self.data[key] + + def __iter__(self): + return iter(self.data) + + def __contains__(self, key): + return key in self.data + + def __repr__(self): + self._format_all() + return repr(self.data) + + def __or__(self, other): + if isinstance(other, LazyDict): + inst = self.copy() + other = other.copy() + other._format_all() + inst.keys_to_format -= other.data.keys() + inst.data = inst.data | other.data + return inst + if isinstance(other, dict): + inst = self.copy() + inst.keys_to_format -= other.keys() + inst.data = inst.data | other + return inst + return NotImplemented + + def __ror__(self, other): + if isinstance(other, LazyDict): + inst = self.copy() + other = other.copy() + other._format_all() + inst.keys_to_format -= other.data.keys() + inst.data = other.data | inst.data + return inst + if isinstance(other, dict): + inst = self.copy() + inst.keys_to_format -= other.keys() + inst.data = other | inst.data + return inst + return NotImplemented + + def __ior__(self, other): + if isinstance(other, LazyDict): + other = other.copy() + other._format_all() + self.keys_to_format -= other.data.keys() + self.data |= other.data + else: + self.keys_to_format -= other.keys() + self.data |= other + return self + + def __copy__(self): + # Identical to `UserDict.__copy__` + inst = self.__class__.__new__(self.__class__) + inst.__dict__.update(self.__dict__) + # Create a copy and avoid triggering descriptors + inst.__dict__["data"] = self.__dict__["data"].copy() + inst.__dict__["keys_to_format"] = self.__dict__["keys_to_format"].copy() + return inst + + def copy(self): + import copy + + return copy.copy(self) + + @classmethod + def fromkeys(cls, iterable, value=None): + raise NotImplementedError + + def format(self, key): + raise NotImplementedError + + def _format_all(self): + for key in self.keys_to_format: + self.data[key] = self.format(key) + self.keys_to_format.clear() + + +class LazyRow(LazyDict): + def format(self, key): + return self.formatter.format_column(self.pa_table.select([key]))[0] + + +class LazyBatch(LazyDict): + def format(self, key): + return self.formatter.format_column(self.pa_table.select([key])) + + +class Formatter(Generic[RowFormat, ColumnFormat, BatchFormat]): + """ + A formatter is an object that extracts and formats data from pyarrow tables. + It defines the formatting for rows, columns and batches. + """ + + simple_arrow_extractor = SimpleArrowExtractor + python_arrow_extractor = PythonArrowExtractor + numpy_arrow_extractor = NumpyArrowExtractor + pandas_arrow_extractor = PandasArrowExtractor + + def __init__( + self, + features: Optional[Features] = None, + token_per_repo_id: Optional[dict[str, Union[str, bool, None]]] = None, + ): + self.features = features + self.token_per_repo_id = token_per_repo_id + self.python_features_decoder = PythonFeaturesDecoder(self.features, self.token_per_repo_id) + self.pandas_features_decoder = PandasFeaturesDecoder(self.features) + + def __call__(self, pa_table: pa.Table, query_type: str) -> Union[RowFormat, ColumnFormat, BatchFormat]: + if query_type == "row": + return self.format_row(pa_table) + elif query_type == "column": + return self.format_column(pa_table) + elif query_type == "batch": + return self.format_batch(pa_table) + + def format_row(self, pa_table: pa.Table) -> RowFormat: + raise NotImplementedError + + def format_column(self, pa_table: pa.Table) -> ColumnFormat: + raise NotImplementedError + + def format_batch(self, pa_table: pa.Table) -> BatchFormat: + raise NotImplementedError + + +class TensorFormatter(Formatter[RowFormat, ColumnFormat, BatchFormat]): + def recursive_tensorize(self, data_struct: dict): + raise NotImplementedError + + +class TableFormatter(Formatter[RowFormat, ColumnFormat, BatchFormat]): + table_type: str + column_type: str + + +class ArrowFormatter(TableFormatter[pa.Table, pa.Array, pa.Table]): + table_type = "arrow table" + column_type = "arrow array" + + def format_row(self, pa_table: pa.Table) -> pa.Table: + return self.simple_arrow_extractor().extract_row(pa_table) + + def format_column(self, pa_table: pa.Table) -> pa.Array: + return self.simple_arrow_extractor().extract_column(pa_table) + + def format_batch(self, pa_table: pa.Table) -> pa.Table: + return self.simple_arrow_extractor().extract_batch(pa_table) + + +class PythonFormatter(Formatter[Mapping, list, Mapping]): + def __init__(self, features=None, lazy=False, token_per_repo_id=None): + super().__init__(features, token_per_repo_id) + self.lazy = lazy + + def format_row(self, pa_table: pa.Table) -> Mapping: + if self.lazy: + return LazyRow(pa_table, self) + row = self.python_arrow_extractor().extract_row(pa_table) + row = self.python_features_decoder.decode_row(row) + return row + + def format_column(self, pa_table: pa.Table) -> list: + column = self.python_arrow_extractor().extract_column(pa_table) + column = self.python_features_decoder.decode_column(column, pa_table.column_names[0]) + return column + + def format_batch(self, pa_table: pa.Table) -> Mapping: + if self.lazy: + return LazyBatch(pa_table, self) + batch = self.python_arrow_extractor().extract_batch(pa_table) + batch = self.python_features_decoder.decode_batch(batch) + return batch + + +class PandasFormatter(TableFormatter[pd.DataFrame, pd.Series, pd.DataFrame]): + table_type = "pandas dataframe" + column_type = "pandas series" + + def format_row(self, pa_table: pa.Table) -> pd.DataFrame: + row = self.pandas_arrow_extractor().extract_row(pa_table) + row = self.pandas_features_decoder.decode_row(row) + return row + + def format_column(self, pa_table: pa.Table) -> pd.Series: + column = self.pandas_arrow_extractor().extract_column(pa_table) + column = self.pandas_features_decoder.decode_column(column, pa_table.column_names[0]) + return column + + def format_batch(self, pa_table: pa.Table) -> pd.DataFrame: + row = self.pandas_arrow_extractor().extract_batch(pa_table) + row = self.pandas_features_decoder.decode_batch(row) + return row + + +class CustomFormatter(Formatter[dict, ColumnFormat, dict]): + """ + A user-defined custom formatter function defined by a ``transform``. + The transform must take as input a batch of data extracted for an arrow table using the python extractor, + and return a batch. + If the output batch is not a dict, then output_all_columns won't work. + If the output batch has several fields, then querying a single column won't work since we don't know which field + to return. + """ + + def __init__(self, transform: Callable[[dict], dict], features=None, token_per_repo_id=None, **kwargs): + super().__init__(features=features, token_per_repo_id=token_per_repo_id) + self.transform = transform + + def format_row(self, pa_table: pa.Table) -> dict: + formatted_batch = self.format_batch(pa_table) + try: + return _unnest(formatted_batch) + except Exception as exc: + raise TypeError( + f"Custom formatting function must return a dict of sequences to be able to pick a row, but got {formatted_batch}" + ) from exc + + def format_column(self, pa_table: pa.Table) -> ColumnFormat: + formatted_batch = self.format_batch(pa_table) + if hasattr(formatted_batch, "keys"): + if len(formatted_batch.keys()) > 1: + raise TypeError( + "Tried to query a column but the custom formatting function returns too many columns. " + f"Only one column was expected but got columns {list(formatted_batch.keys())}." + ) + else: + raise TypeError( + f"Custom formatting function must return a dict to be able to pick a row, but got {formatted_batch}" + ) + try: + return formatted_batch[pa_table.column_names[0]] + except Exception as exc: + raise TypeError( + f"Custom formatting function must return a dict to be able to pick a row, but got {formatted_batch}" + ) from exc + + def format_batch(self, pa_table: pa.Table) -> dict: + batch = self.python_arrow_extractor().extract_batch(pa_table) + batch = self.python_features_decoder.decode_batch(batch) + return self.transform(batch) + + +def _check_valid_column_key(key: str, columns: list[str]) -> None: + if key not in columns: + raise KeyError(f"Column {key} not in the dataset. Current columns in the dataset: {columns}") + + +def _check_valid_index_key(key: Union[int, slice, range, Iterable], size: int) -> None: + if isinstance(key, int): + if (key < 0 and key + size < 0) or (key >= size): + raise IndexError(f"Invalid key: {key} is out of bounds for size {size}") + return + elif isinstance(key, slice): + pass + elif isinstance(key, range): + if len(key) > 0: + _check_valid_index_key(max(key), size=size) + _check_valid_index_key(min(key), size=size) + elif isinstance(key, Iterable): + if len(key) > 0: + _check_valid_index_key(int(max(key)), size=size) + _check_valid_index_key(int(min(key)), size=size) + else: + _raise_bad_key_type(key) + + +def key_to_query_type(key: Union[int, slice, range, str, Iterable]) -> str: + if isinstance(key, int): + return "row" + elif isinstance(key, str): + return "column" + elif isinstance(key, (slice, range, Iterable)): + return "batch" + _raise_bad_key_type(key) + + +def query_table( + table: Table, + key: Union[int, slice, range, str, Iterable], + indices: Optional[Table] = None, +) -> pa.Table: + """ + Query a Table to extract the subtable that correspond to the given key. + + Args: + table (``datasets.table.Table``): The input Table to query from + key (``Union[int, slice, range, str, Iterable]``): The key can be of different types: + - an integer i: the subtable containing only the i-th row + - a slice [i:j:k]: the subtable containing the rows that correspond to this slice + - a range(i, j, k): the subtable containing the rows that correspond to this range + - a string c: the subtable containing all the rows but only the column c + - an iterable l: the subtable that is the concatenation of all the i-th rows for all i in the iterable + indices (Optional ``datasets.table.Table``): If not None, it is used to re-map the given key to the table rows. + The indices table must contain one column named "indices" of type uint64. + This is used in case of shuffling or rows selection. + + + Returns: + ``pyarrow.Table``: the result of the query on the input table + """ + # Check if key is valid + if not isinstance(key, (int, slice, range, str, Iterable)): + try: + key = operator.index(key) + except TypeError: + _raise_bad_key_type(key) + if isinstance(key, str): + _check_valid_column_key(key, table.column_names) + else: + size = indices.num_rows if indices is not None else table.num_rows + _check_valid_index_key(key, size) + # Query the main table + if indices is None: + pa_subtable = _query_table(table, key) + else: + pa_subtable = _query_table_with_indices_mapping(table, key, indices=indices) + return pa_subtable + + +def format_table( + table: Table, + key: Union[int, slice, range, str, Iterable], + formatter: Formatter, + format_columns: Optional[list] = None, + output_all_columns=False, +): + """ + Format a Table depending on the key that was used and a Formatter object. + + Args: + table (``datasets.table.Table``): The input Table to format + key (``Union[int, slice, range, str, Iterable]``): Depending on the key that was used, the formatter formats + the table as either a row, a column or a batch. + formatter (``datasets.formatting.formatting.Formatter``): Any subclass of a Formatter such as + PythonFormatter, NumpyFormatter, etc. + format_columns (:obj:`List[str]`, optional): if not None, it defines the columns that will be formatted using the + given formatter. Other columns are discarded (unless ``output_all_columns`` is True) + output_all_columns (:obj:`bool`, defaults to False). If True, the formatted output is completed using the columns + that are not in the ``format_columns`` list. For these columns, the PythonFormatter is used. + + + Returns: + A row, column or batch formatted object defined by the Formatter: + - the PythonFormatter returns a dictionary for a row or a batch, and a list for a column. + - the NumpyFormatter returns a dictionary for a row or a batch, and a np.array for a column. + - the PandasFormatter returns a pd.DataFrame for a row or a batch, and a pd.Series for a column. + - the TorchFormatter returns a dictionary for a row or a batch, and a torch.Tensor for a column. + - the TFFormatter returns a dictionary for a row or a batch, and a tf.Tensor for a column. + """ + if isinstance(table, Table): + pa_table = table.table + else: + pa_table = table + query_type = key_to_query_type(key) + python_formatter = PythonFormatter(features=formatter.features) + if format_columns is None: + return formatter(pa_table, query_type=query_type) + elif query_type == "column": + if key in format_columns: + return formatter(pa_table, query_type) + else: + return python_formatter(pa_table, query_type=query_type) + else: + pa_table_to_format = pa_table.drop(col for col in pa_table.column_names if col not in format_columns) + formatted_output = formatter(pa_table_to_format, query_type=query_type) + if output_all_columns: + if isinstance(formatted_output, MutableMapping): + pa_table_with_remaining_columns = pa_table.drop( + col for col in pa_table.column_names if col in format_columns + ) + remaining_columns_dict = python_formatter(pa_table_with_remaining_columns, query_type=query_type) + formatted_output.update(remaining_columns_dict) + else: + raise TypeError( + f"Custom formatting function must return a dict to work with output_all_columns=True, but got {formatted_output}" + ) + return formatted_output diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/jax_formatter.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/jax_formatter.py new file mode 100644 index 0000000000000000000000000000000000000000..ad414279ac83bd7638d7c74c751e5fffb032bcea --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/jax_formatter.py @@ -0,0 +1,166 @@ +# Copyright 2021 The HuggingFace Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +import sys +from collections.abc import Mapping +from typing import TYPE_CHECKING, Optional + +import numpy as np +import pyarrow as pa + +from .. import config +from ..utils.logging import get_logger +from ..utils.py_utils import map_nested +from .formatting import TensorFormatter + + +if TYPE_CHECKING: + import jax + import jaxlib + +logger = get_logger() + +DEVICE_MAPPING: Optional[dict] = None + + +class JaxFormatter(TensorFormatter[Mapping, "jax.Array", Mapping]): + def __init__(self, features=None, device=None, token_per_repo_id=None, **jnp_array_kwargs): + super().__init__(features=features, token_per_repo_id=token_per_repo_id) + import jax + from jaxlib.xla_client import Device + + if isinstance(device, Device): + raise ValueError( + f"Expected {device} to be a `str` not {type(device)}, as `jaxlib.xla_extension.Device` " + "is not serializable neither with `pickle` nor with `dill`. Instead you can surround " + "the device with `str()` to get its string identifier that will be internally mapped " + "to the actual `jaxlib.xla_extension.Device`." + ) + self.device = device if isinstance(device, str) else str(jax.devices()[0]) + # using global variable since `jaxlib.xla_extension.Device` is not serializable neither + # with `pickle` nor with `dill`, so we need to use a global variable instead + global DEVICE_MAPPING + if DEVICE_MAPPING is None: + DEVICE_MAPPING = self._map_devices_to_str() + if self.device not in list(DEVICE_MAPPING.keys()): + logger.warning( + f"Device with string identifier {self.device} not listed among the available " + f"devices: {list(DEVICE_MAPPING.keys())}, so falling back to the default " + f"device: {str(jax.devices()[0])}." + ) + self.device = str(jax.devices()[0]) + self.jnp_array_kwargs = jnp_array_kwargs + + @staticmethod + def _map_devices_to_str() -> dict[str, "jaxlib.xla_extension.Device"]: + import jax + + return {str(device): device for device in jax.devices()} + + def _consolidate(self, column): + import jax + import jax.numpy as jnp + + if isinstance(column, list) and column: + if all( + isinstance(x, jax.Array) and x.shape == column[0].shape and x.dtype == column[0].dtype for x in column + ): + return jnp.stack(column, axis=0) + return column + + def _tensorize(self, value): + import jax + import jax.numpy as jnp + + if isinstance(value, (str, bytes, type(None))): + return value + elif isinstance(value, (np.character, np.ndarray)) and np.issubdtype(value.dtype, np.character): + return value.tolist() + + default_dtype = {} + + if isinstance(value, (np.number, np.ndarray)) and np.issubdtype(value.dtype, np.integer): + # the default int precision depends on the jax config + # see https://jax.readthedocs.io/en/latest/notebooks/Common_Gotchas_in_JAX.html#double-64bit-precision + if jax.config.jax_enable_x64: + default_dtype = {"dtype": jnp.int64} + else: + default_dtype = {"dtype": jnp.int32} + elif isinstance(value, (np.number, np.ndarray)) and np.issubdtype(value.dtype, np.floating): + default_dtype = {"dtype": jnp.float32} + + if config.PIL_AVAILABLE and "PIL" in sys.modules: + import PIL.Image + + if isinstance(value, PIL.Image.Image): + value = np.asarray(value) + if config.TORCHVISION_AVAILABLE and "torchvision" in sys.modules: + from torchvision.io import VideoReader + + if isinstance(value, VideoReader): + return value # TODO(QL): set output to jax arrays ? + + # using global variable since `jaxlib.xla_extension.Device` is not serializable neither + # with `pickle` nor with `dill`, so we need to use a global variable instead + global DEVICE_MAPPING + if DEVICE_MAPPING is None: + DEVICE_MAPPING = self._map_devices_to_str() + + with jax.default_device(DEVICE_MAPPING[self.device]): + # calling jnp.array on a np.ndarray does copy the data + # see https://github.com/google/jax/issues/4486 + return jnp.array(value, **{**default_dtype, **self.jnp_array_kwargs}) + + def _recursive_tensorize(self, data_struct): + import jax + + # support for torch, tf, jax etc. + if config.TORCH_AVAILABLE and "torch" in sys.modules: + import torch + + if isinstance(data_struct, torch.Tensor): + return self._tensorize(data_struct.detach().cpu().numpy()[()]) + if hasattr(data_struct, "__array__") and not isinstance(data_struct, jax.Array): + data_struct = data_struct.__array__() + # support for nested types like struct of list of struct + if isinstance(data_struct, np.ndarray): + if data_struct.dtype == object: # jax arrays cannot be instantied from an array of objects + return self._consolidate([self.recursive_tensorize(substruct) for substruct in data_struct]) + elif isinstance(data_struct, (list, tuple)): + return self._consolidate([self.recursive_tensorize(substruct) for substruct in data_struct]) + return self._tensorize(data_struct) + + def recursive_tensorize(self, data_struct: dict): + return map_nested(self._recursive_tensorize, data_struct, map_list=False) + + def format_row(self, pa_table: pa.Table) -> Mapping: + row = self.numpy_arrow_extractor().extract_row(pa_table) + row = self.python_features_decoder.decode_row(row) + return self.recursive_tensorize(row) + + def format_column(self, pa_table: pa.Table) -> "jax.Array": + column = self.numpy_arrow_extractor().extract_column(pa_table) + column = self.python_features_decoder.decode_column(column, pa_table.column_names[0]) + column = self.recursive_tensorize(column) + column = self._consolidate(column) + return column + + def format_batch(self, pa_table: pa.Table) -> Mapping: + batch = self.numpy_arrow_extractor().extract_batch(pa_table) + batch = self.python_features_decoder.decode_batch(batch) + batch = self.recursive_tensorize(batch) + for column_name in batch: + batch[column_name] = self._consolidate(batch[column_name]) + return batch diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/np_formatter.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/np_formatter.py new file mode 100644 index 0000000000000000000000000000000000000000..c12ecd4f3866cab1d9740d962ebab8ad762f8d53 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/np_formatter.py @@ -0,0 +1,112 @@ +# Copyright 2020 The HuggingFace Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import sys +from collections.abc import Mapping + +import numpy as np +import pyarrow as pa + +from .. import config +from ..utils.py_utils import map_nested +from .formatting import TensorFormatter + + +class NumpyFormatter(TensorFormatter[Mapping, np.ndarray, Mapping]): + def __init__(self, features=None, token_per_repo_id=None, **np_array_kwargs): + super().__init__(features=features, token_per_repo_id=token_per_repo_id) + self.np_array_kwargs = np_array_kwargs + + def _consolidate(self, column): + if isinstance(column, list): + if column and all( + isinstance(x, np.ndarray) and x.shape == column[0].shape and x.dtype == column[0].dtype for x in column + ): + return np.stack(column) + else: + # don't use np.array(column, dtype=object) + # since it fails in certain cases + # see https://stackoverflow.com/q/51005699 + out = np.empty(len(column), dtype=object) + out[:] = column + return out + return column + + def _tensorize(self, value): + if isinstance(value, (str, bytes, type(None))): + return value + elif isinstance(value, (np.character, np.ndarray)) and np.issubdtype(value.dtype, np.character): + return value + elif isinstance(value, np.number): + return value + + default_dtype = {} + + if isinstance(value, np.ndarray) and np.issubdtype(value.dtype, np.integer): + default_dtype = {"dtype": np.int64} + elif isinstance(value, np.ndarray) and np.issubdtype(value.dtype, np.floating): + default_dtype = {"dtype": np.float32} + + if config.PIL_AVAILABLE and "PIL" in sys.modules: + import PIL.Image + + if isinstance(value, PIL.Image.Image): + return np.asarray(value, **self.np_array_kwargs) + if config.TORCHVISION_AVAILABLE and "torchvision" in sys.modules: + from torchvision.io import VideoReader + + if isinstance(value, VideoReader): + return value # TODO(QL): set output to np arrays ? + + return np.asarray(value, **{**default_dtype, **self.np_array_kwargs}) + + def _recursive_tensorize(self, data_struct): + # support for torch, tf, jax etc. + if config.TORCH_AVAILABLE and "torch" in sys.modules: + import torch + + if isinstance(data_struct, torch.Tensor): + return self._tensorize(data_struct.detach().cpu().numpy()[()]) + if hasattr(data_struct, "__array__") and not isinstance(data_struct, (np.ndarray, np.character, np.number)): + data_struct = data_struct.__array__() + # support for nested types like struct of list of struct + if isinstance(data_struct, np.ndarray): + if data_struct.dtype == object: + return self._consolidate([self.recursive_tensorize(substruct) for substruct in data_struct]) + if isinstance(data_struct, (list, tuple)): + return self._consolidate([self.recursive_tensorize(substruct) for substruct in data_struct]) + return self._tensorize(data_struct) + + def recursive_tensorize(self, data_struct: dict): + return map_nested(self._recursive_tensorize, data_struct, map_list=False) + + def format_row(self, pa_table: pa.Table) -> Mapping: + row = self.numpy_arrow_extractor().extract_row(pa_table) + row = self.python_features_decoder.decode_row(row) + return self.recursive_tensorize(row) + + def format_column(self, pa_table: pa.Table) -> np.ndarray: + column = self.numpy_arrow_extractor().extract_column(pa_table) + column = self.python_features_decoder.decode_column(column, pa_table.column_names[0]) + column = self.recursive_tensorize(column) + column = self._consolidate(column) + return column + + def format_batch(self, pa_table: pa.Table) -> Mapping: + batch = self.numpy_arrow_extractor().extract_batch(pa_table) + batch = self.python_features_decoder.decode_batch(batch) + batch = self.recursive_tensorize(batch) + for column_name in batch: + batch[column_name] = self._consolidate(batch[column_name]) + return batch diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/polars_formatter.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/polars_formatter.py new file mode 100644 index 0000000000000000000000000000000000000000..7ea2f783aec38ac6bbc10d12aff2488655940f3f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/polars_formatter.py @@ -0,0 +1,124 @@ +# Copyright 2020 The HuggingFace Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import sys +from functools import partial +from typing import TYPE_CHECKING, Optional + +import pyarrow as pa + +from .. import config +from ..features import Features +from ..features.features import decode_nested_example +from ..utils.py_utils import no_op_if_value_is_null +from .formatting import BaseArrowExtractor, TableFormatter + + +if TYPE_CHECKING: + import polars as pl + + +class PolarsArrowExtractor(BaseArrowExtractor["pl.DataFrame", "pl.Series", "pl.DataFrame"]): + def extract_row(self, pa_table: pa.Table) -> "pl.DataFrame": + if config.POLARS_AVAILABLE: + if "polars" not in sys.modules: + import polars + else: + polars = sys.modules["polars"] + + return polars.from_arrow(pa_table.slice(length=1)) + else: + raise ValueError("Polars needs to be installed to be able to return Polars dataframes.") + + def extract_column(self, pa_table: pa.Table) -> "pl.Series": + if config.POLARS_AVAILABLE: + if "polars" not in sys.modules: + import polars + else: + polars = sys.modules["polars"] + + return polars.from_arrow(pa_table.select([0]))[pa_table.column_names[0]] + else: + raise ValueError("Polars needs to be installed to be able to return Polars dataframes.") + + def extract_batch(self, pa_table: pa.Table) -> "pl.DataFrame": + if config.POLARS_AVAILABLE: + if "polars" not in sys.modules: + import polars + else: + polars = sys.modules["polars"] + + return polars.from_arrow(pa_table) + else: + raise ValueError("Polars needs to be installed to be able to return Polars dataframes.") + + +class PolarsFeaturesDecoder: + def __init__(self, features: Optional[Features]): + self.features = features + import polars as pl # noqa: F401 - import pl at initialization + + def decode_row(self, row: "pl.DataFrame") -> "pl.DataFrame": + decode = ( + { + column_name: no_op_if_value_is_null(partial(decode_nested_example, feature)) + for column_name, feature in self.features.items() + if self.features._column_requires_decoding[column_name] + } + if self.features + else {} + ) + if decode: + row[list(decode.keys())] = row.map_rows(decode) + return row + + def decode_column(self, column: "pl.Series", column_name: str) -> "pl.Series": + decode = ( + no_op_if_value_is_null(partial(decode_nested_example, self.features[column_name])) + if self.features and column_name in self.features and self.features._column_requires_decoding[column_name] + else None + ) + if decode: + column = column.map_elements(decode) + return column + + def decode_batch(self, batch: "pl.DataFrame") -> "pl.DataFrame": + return self.decode_row(batch) + + +class PolarsFormatter(TableFormatter["pl.DataFrame", "pl.Series", "pl.DataFrame"]): + table_type = "polars dataframe" + column_type = "polars series" + + def __init__(self, features=None, **np_array_kwargs): + super().__init__(features=features) + self.np_array_kwargs = np_array_kwargs + self.polars_arrow_extractor = PolarsArrowExtractor + self.polars_features_decoder = PolarsFeaturesDecoder(features) + import polars as pl # noqa: F401 - import pl at initialization + + def format_row(self, pa_table: pa.Table) -> "pl.DataFrame": + row = self.polars_arrow_extractor().extract_row(pa_table) + row = self.polars_features_decoder.decode_row(row) + return row + + def format_column(self, pa_table: pa.Table) -> "pl.Series": + column = self.polars_arrow_extractor().extract_column(pa_table) + column = self.polars_features_decoder.decode_column(column, pa_table.column_names[0]) + return column + + def format_batch(self, pa_table: pa.Table) -> "pl.DataFrame": + row = self.polars_arrow_extractor().extract_batch(pa_table) + row = self.polars_features_decoder.decode_batch(row) + return row diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/tf_formatter.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/tf_formatter.py new file mode 100644 index 0000000000000000000000000000000000000000..964bc4b5589a25fe7690706c780c2b4c07e94a5a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/tf_formatter.py @@ -0,0 +1,121 @@ +# Copyright 2020 The HuggingFace Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +import sys +from collections.abc import Mapping +from typing import TYPE_CHECKING + +import numpy as np +import pyarrow as pa + +from .. import config +from ..utils.py_utils import map_nested +from .formatting import TensorFormatter + + +if TYPE_CHECKING: + import tensorflow as tf + + +class TFFormatter(TensorFormatter[Mapping, "tf.Tensor", Mapping]): + def __init__(self, features=None, token_per_repo_id=None, **tf_tensor_kwargs): + super().__init__(features=features, token_per_repo_id=token_per_repo_id) + self.tf_tensor_kwargs = tf_tensor_kwargs + import tensorflow as tf # noqa: F401 - import tf at initialization + + def _consolidate(self, column): + import tensorflow as tf + + if isinstance(column, list) and column: + if all( + isinstance(x, tf.Tensor) and x.shape == column[0].shape and x.dtype == column[0].dtype for x in column + ): + return tf.stack(column) + elif all( + isinstance(x, (tf.Tensor, tf.RaggedTensor)) and x.ndim == 1 and x.dtype == column[0].dtype + for x in column + ): + # only rag 1-D tensors, otherwise some dimensions become ragged even though they were consolidated + return tf.ragged.stack(column) + + return column + + def _tensorize(self, value): + import tensorflow as tf + + if value is None: + return value + + default_dtype = {} + + if isinstance(value, (np.number, np.ndarray)) and np.issubdtype(value.dtype, np.integer): + default_dtype = {"dtype": tf.int64} + elif isinstance(value, (np.number, np.ndarray)) and np.issubdtype(value.dtype, np.floating): + default_dtype = {"dtype": tf.float32} + + if config.PIL_AVAILABLE and "PIL" in sys.modules: + import PIL.Image + + if isinstance(value, PIL.Image.Image): + value = np.asarray(value) + if config.TORCHVISION_AVAILABLE and "torchvision" in sys.modules: + from torchvision.io import VideoReader + + if isinstance(value, VideoReader): + return value # TODO(QL): set output to tf tensors ? + + return tf.convert_to_tensor(value, **{**default_dtype, **self.tf_tensor_kwargs}) + + def _recursive_tensorize(self, data_struct): + import tensorflow as tf + + # support for torch, tf, jax etc. + if config.TORCH_AVAILABLE and "torch" in sys.modules: + import torch + + if isinstance(data_struct, torch.Tensor): + return self._tensorize(data_struct.detach().cpu().numpy()[()]) + if hasattr(data_struct, "__array__") and not isinstance(data_struct, tf.Tensor): + data_struct = data_struct.__array__() + # support for nested types like struct of list of struct + if isinstance(data_struct, np.ndarray): + if data_struct.dtype == object: # tf tensors cannot be instantied from an array of objects + return self._consolidate([self.recursive_tensorize(substruct) for substruct in data_struct]) + elif isinstance(data_struct, (list, tuple)): + return self._consolidate([self.recursive_tensorize(substruct) for substruct in data_struct]) + return self._tensorize(data_struct) + + def recursive_tensorize(self, data_struct: dict): + return map_nested(self._recursive_tensorize, data_struct, map_list=False) + + def format_row(self, pa_table: pa.Table) -> Mapping: + row = self.numpy_arrow_extractor().extract_row(pa_table) + row = self.python_features_decoder.decode_row(row) + return self.recursive_tensorize(row) + + def format_column(self, pa_table: pa.Table) -> "tf.Tensor": + column = self.numpy_arrow_extractor().extract_column(pa_table) + column = self.python_features_decoder.decode_column(column, pa_table.column_names[0]) + column = self.recursive_tensorize(column) + column = self._consolidate(column) + return column + + def format_batch(self, pa_table: pa.Table) -> Mapping: + batch = self.numpy_arrow_extractor().extract_batch(pa_table) + batch = self.python_features_decoder.decode_batch(batch) + batch = self.recursive_tensorize(batch) + for column_name in batch: + batch[column_name] = self._consolidate(batch[column_name]) + return batch diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/torch_formatter.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/torch_formatter.py new file mode 100644 index 0000000000000000000000000000000000000000..cfc3fd9abe870a5354ef6d2f9020ca255be721a8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/formatting/torch_formatter.py @@ -0,0 +1,122 @@ +# Copyright 2020 The HuggingFace Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +import sys +from collections.abc import Mapping +from typing import TYPE_CHECKING + +import numpy as np +import pyarrow as pa + +from .. import config +from ..utils.py_utils import map_nested +from .formatting import TensorFormatter + + +if TYPE_CHECKING: + import torch + + +class TorchFormatter(TensorFormatter[Mapping, "torch.Tensor", Mapping]): + def __init__(self, features=None, token_per_repo_id=None, **torch_tensor_kwargs): + super().__init__(features=features, token_per_repo_id=token_per_repo_id) + self.torch_tensor_kwargs = torch_tensor_kwargs + import torch # noqa import torch at initialization + + def _consolidate(self, column): + import torch + + if isinstance(column, list) and column: + if all( + isinstance(x, torch.Tensor) and x.shape == column[0].shape and x.dtype == column[0].dtype + for x in column + ): + return torch.stack(column) + return column + + def _tensorize(self, value): + import torch + + if isinstance(value, (str, bytes, type(None))): + return value + elif isinstance(value, (np.character, np.ndarray)) and np.issubdtype(value.dtype, np.character): + return value.tolist() + + default_dtype = {} + + if isinstance(value, (np.number, np.ndarray)) and np.issubdtype(value.dtype, np.integer): + default_dtype = {"dtype": torch.int64} + + # Convert dtype to np.int64 if it's either np.uint16 or np.uint32 to ensure compatibility. + # np.uint64 is excluded from this conversion as there is no compatible PyTorch dtype that can handle it without loss. + if value.dtype in [np.uint16, np.uint32]: + value = value.astype(np.int64) + + elif isinstance(value, (np.number, np.ndarray)) and np.issubdtype(value.dtype, np.floating): + default_dtype = {"dtype": torch.float32} + + if config.PIL_AVAILABLE and "PIL" in sys.modules: + import PIL.Image + + if isinstance(value, PIL.Image.Image): + value = np.asarray(value) + if value.ndim == 2: + value = value[:, :, np.newaxis] + + value = value.transpose((2, 0, 1)) + if config.TORCHVISION_AVAILABLE and "torchvision" in sys.modules: + from torchvision.io import VideoReader + + if isinstance(value, VideoReader): + return value # TODO(QL): set output to torch tensors ? + + return torch.tensor(value, **{**default_dtype, **self.torch_tensor_kwargs}) + + def _recursive_tensorize(self, data_struct): + import torch + + # support for torch, tf, jax etc. + if hasattr(data_struct, "__array__") and not isinstance(data_struct, torch.Tensor): + data_struct = data_struct.__array__() + # support for nested types like struct of list of struct + if isinstance(data_struct, np.ndarray): + if data_struct.dtype == object: # torch tensors cannot be instantied from an array of objects + return self._consolidate([self.recursive_tensorize(substruct) for substruct in data_struct]) + elif isinstance(data_struct, (list, tuple)): + return self._consolidate([self.recursive_tensorize(substruct) for substruct in data_struct]) + return self._tensorize(data_struct) + + def recursive_tensorize(self, data_struct: dict): + return map_nested(self._recursive_tensorize, data_struct, map_list=False) + + def format_row(self, pa_table: pa.Table) -> Mapping: + row = self.numpy_arrow_extractor().extract_row(pa_table) + row = self.python_features_decoder.decode_row(row) + return self.recursive_tensorize(row) + + def format_column(self, pa_table: pa.Table) -> "torch.Tensor": + column = self.numpy_arrow_extractor().extract_column(pa_table) + column = self.python_features_decoder.decode_column(column, pa_table.column_names[0]) + column = self.recursive_tensorize(column) + column = self._consolidate(column) + return column + + def format_batch(self, pa_table: pa.Table) -> Mapping: + batch = self.numpy_arrow_extractor().extract_batch(pa_table) + batch = self.python_features_decoder.decode_batch(batch) + batch = self.recursive_tensorize(batch) + for column_name in batch: + batch[column_name] = self._consolidate(batch[column_name]) + return batch diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/hub.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/hub.py new file mode 100644 index 0000000000000000000000000000000000000000..06d4f0ddb95ab6765167798f1d980a168c246bd8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/hub.py @@ -0,0 +1,230 @@ +import time +from itertools import chain +from typing import Optional, Union + +from huggingface_hub import ( + CommitInfo, + CommitOperationAdd, + CommitOperationDelete, + DatasetCard, + DatasetCardData, + HfApi, + HfFileSystem, +) +from huggingface_hub.utils import HfHubHTTPError + +import datasets.config +from datasets.info import DatasetInfosDict +from datasets.inspect import get_dataset_config_names, get_dataset_default_config_name +from datasets.load import load_dataset, load_dataset_builder +from datasets.utils.metadata import MetadataConfigs + + +def convert_to_parquet( + repo_id: str, + revision: Optional[str] = None, + token: Optional[Union[bool, str]] = None, + trust_remote_code: Optional[bool] = None, +) -> CommitInfo: + """Convert Hub [script-based dataset](dataset_script) to Parquet [data-only dataset](repository_structure), so that + the dataset viewer will be supported. + + This function: + - makes a copy of the script on the "main" branch into a dedicated branch called "script" (if it does not already exist) + - creates a pull request to the Hub dataset to convert it to Parquet files (and deletes the script from the main branch) + + If in the future you need to recreate the Parquet files from the "script" branch, pass the `revision="script"` argument. + + Note that you should pass the `trust_remote_code=True` argument only if you trust the remote code to be executed locally on your machine. + + Args: + repo_id (`str`): ID of the source Hub dataset repository, in the following format: `/` or + `/`. + revision (`str`, *optional*): Branch of the source Hub dataset repository. Defaults to the `"main"` branch. + token (`bool` or `str`, *optional*): Authentication token for the Hugging Face Hub. + trust_remote_code (`bool`, defaults to `False`): Whether you trust the remote code of the Hub script-based + dataset to be executed locally on your machine. This option should only be set to `True` for repositories + where you have read the code and which you trust. + + + + `trust_remote_code` defaults to `False` if not specified. + + + + Returns: + `huggingface_hub.CommitInfo` + """ + print(f"{repo_id}") + configs = get_dataset_config_names(repo_id, token=token, revision=revision, trust_remote_code=trust_remote_code) + print(f"{configs = }") + default_config = get_dataset_default_config_name( + repo_id, token=token, revision=revision, trust_remote_code=trust_remote_code + ) + print(f"{default_config = }") + if default_config: + config = default_config + configs.remove(default_config) + else: + config = configs.pop(0) + print(f"{config = }") + dataset = load_dataset(repo_id, config, revision=revision, trust_remote_code=trust_remote_code) + commit_info = dataset.push_to_hub( + repo_id, + config_name=config, + commit_message="Convert dataset to Parquet", + commit_description="Convert dataset to Parquet.", + create_pr=True, + token=token, + set_default=default_config is not None, + ) + time.sleep(5) + pr_revision, pr_url = commit_info.pr_revision, commit_info.pr_url + for config in configs: + print(f"{config = }") + dataset = load_dataset(repo_id, config, revision=revision, trust_remote_code=trust_remote_code) + dataset.push_to_hub( + repo_id, + config_name=config, + commit_message=f"Add '{config}' config data files", + revision=pr_revision, + token=token, + ) + time.sleep(5) + _delete_files(repo_id, revision=pr_revision, token=token) + if not revision: + api = HfApi(endpoint=datasets.config.HF_ENDPOINT, token=token) + try: + api.create_branch(repo_id, branch="script", repo_type="dataset", token=token, exist_ok=True) + except HfHubHTTPError: + pass + print(f"You can find your PR to convert the dataset to Parquet at: {pr_url}") + return commit_info + + +def delete_from_hub( + repo_id: str, + config_name: str, + revision: Optional[str] = None, + token: Optional[Union[bool, str]] = None, +) -> CommitInfo: + """Delete a dataset configuration from a [data-only dataset](repository_structure) on the Hub. + + Args: + repo_id (`str`): ID of the Hub dataset repository, in the following format: `/` or + `/`. + config_name (`str`): Name of the dataset configuration. + revision (`str`, *optional*): Branch to delete the configuration from. Defaults to the `"main"` branch. + token (`bool` or `str`, *optional*): Authentication token for the Hugging Face Hub. + + Returns: + `huggingface_hub.CommitInfo` + """ + operations = [] + # data_files + fs = HfFileSystem(endpoint=datasets.config.HF_ENDPOINT, token=token) + builder = load_dataset_builder(repo_id, config_name, revision=revision, token=token, trust_remote_code=False) + for data_file in chain(*builder.config.data_files.values()): + data_file_resolved_path = fs.resolve_path(data_file) + if data_file_resolved_path.repo_id == repo_id: + operations.append(CommitOperationDelete(path_in_repo=data_file_resolved_path.path_in_repo)) + # README.md + dataset_card = DatasetCard.load(repo_id) + # config_names + if dataset_card.data.get("config_names", None) and config_name in dataset_card.data["config_names"]: + dataset_card.data["config_names"].remove(config_name) + # metadata_configs + metadata_configs = MetadataConfigs.from_dataset_card_data(dataset_card.data) + if metadata_configs: + _ = metadata_configs.pop(config_name, None) + dataset_card_data = DatasetCardData() + metadata_configs.to_dataset_card_data(dataset_card_data) + if datasets.config.METADATA_CONFIGS_FIELD in dataset_card_data: + dataset_card.data[datasets.config.METADATA_CONFIGS_FIELD] = dataset_card_data[ + datasets.config.METADATA_CONFIGS_FIELD + ] + else: + _ = dataset_card.data.pop(datasets.config.METADATA_CONFIGS_FIELD, None) + # dataset_info + dataset_infos: DatasetInfosDict = DatasetInfosDict.from_dataset_card_data(dataset_card.data) + if dataset_infos: + _ = dataset_infos.pop(config_name, None) + dataset_card_data = DatasetCardData() + dataset_infos.to_dataset_card_data(dataset_card_data) + if "dataset_info" in dataset_card_data: + dataset_card.data["dataset_info"] = dataset_card_data["dataset_info"] + else: + _ = dataset_card.data.pop("dataset_info", None) + # Commit + operations.append( + CommitOperationAdd(path_in_repo=datasets.config.REPOCARD_FILENAME, path_or_fileobj=str(dataset_card).encode()) + ) + api = HfApi(endpoint=datasets.config.HF_ENDPOINT, token=token) + commit_info = api.create_commit( + repo_id, + operations=operations, + commit_message=f"Delete '{config_name}' config", + commit_description=f"Delete '{config_name}' config.", + token=token, + repo_type="dataset", + revision=revision, + create_pr=True, + ) + print(f"You can find your PR to delete the dataset config at: {commit_info.pr_url}") + return commit_info + + +def _delete_files(dataset_id, revision=None, token=None): + dataset_name = dataset_id.split("/")[-1] + hf_api = HfApi(endpoint=datasets.config.HF_ENDPOINT, token=token) + repo_files = hf_api.list_repo_files( + dataset_id, + repo_type="dataset", + ) + if repo_files: + legacy_json_file = [] + python_files = [] + data_files = [] + for filename in repo_files: + if filename in {".gitattributes", "README.md"}: + continue + elif filename == f"{dataset_name}.py": + hf_api.delete_file( + filename, + dataset_id, + repo_type="dataset", + revision=revision, + commit_message="Delete loading script", + ) + elif filename == "dataset_infos.json": + legacy_json_file.append(filename) + elif filename.endswith(".py"): + python_files.append(filename) + else: + data_files.append(filename) + if legacy_json_file: + hf_api.delete_file( + "dataset_infos.json", + dataset_id, + repo_type="dataset", + revision=revision, + commit_message="Delete legacy dataset_infos.json", + ) + if python_files: + for filename in python_files: + hf_api.delete_file( + filename, + dataset_id, + repo_type="dataset", + revision=revision, + commit_message="Delete loading script auxiliary file", + ) + if data_files: + for filename in data_files: + hf_api.delete_file( + filename, + dataset_id, + repo_type="dataset", + revision=revision, + commit_message="Delete data file", + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/info.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/info.py new file mode 100644 index 0000000000000000000000000000000000000000..1217c58bb396b539e96217b106b93caef14ee643 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/info.py @@ -0,0 +1,430 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""DatasetInfo record information we know about a dataset. + +This includes things that we know about the dataset statically, i.e.: + - description + - canonical location + - does it have validation and tests splits + - size + - etc. + +This also includes the things that can and should be computed once we've +processed the dataset as well: + - number of examples (in each split) + - etc. +""" + +import copy +import dataclasses +import json +import os +import posixpath +from dataclasses import dataclass +from pathlib import Path +from typing import ClassVar, Optional, Union + +import fsspec +from fsspec.core import url_to_fs +from huggingface_hub import DatasetCard, DatasetCardData + +from . import config +from .features import Features +from .splits import SplitDict +from .utils import Version +from .utils.logging import get_logger +from .utils.py_utils import asdict, unique_values + + +logger = get_logger(__name__) + + +@dataclass +class SupervisedKeysData: + input: str = "" + output: str = "" + + +@dataclass +class DownloadChecksumsEntryData: + key: str = "" + value: str = "" + + +class MissingCachedSizesConfigError(Exception): + """The expected cached sizes of the download file are missing.""" + + +class NonMatchingCachedSizesError(Exception): + """The prepared split doesn't have expected sizes.""" + + +@dataclass +class PostProcessedInfo: + features: Optional[Features] = None + resources_checksums: Optional[dict] = None + + def __post_init__(self): + # Convert back to the correct classes when we reload from dict + if self.features is not None and not isinstance(self.features, Features): + self.features = Features.from_dict(self.features) + + @classmethod + def from_dict(cls, post_processed_info_dict: dict) -> "PostProcessedInfo": + field_names = {f.name for f in dataclasses.fields(cls)} + return cls(**{k: v for k, v in post_processed_info_dict.items() if k in field_names}) + + +@dataclass +class DatasetInfo: + """Information about a dataset. + + `DatasetInfo` documents datasets, including its name, version, and features. + See the constructor arguments and properties for a full list. + + Not all fields are known on construction and may be updated later. + + Attributes: + description (`str`): + A description of the dataset. + citation (`str`): + A BibTeX citation of the dataset. + homepage (`str`): + A URL to the official homepage for the dataset. + license (`str`): + The dataset's license. It can be the name of the license or a paragraph containing the terms of the license. + features ([`Features`], *optional*): + The features used to specify the dataset's column types. + post_processed (`PostProcessedInfo`, *optional*): + Information regarding the resources of a possible post-processing of a dataset. For example, it can contain the information of an index. + supervised_keys (`SupervisedKeysData`, *optional*): + Specifies the input feature and the label for supervised learning if applicable for the dataset (legacy from TFDS). + builder_name (`str`, *optional*): + The name of the `GeneratorBasedBuilder` subclass used to create the dataset. Usually matched to the corresponding script name. It is also the snake_case version of the dataset builder class name. + config_name (`str`, *optional*): + The name of the configuration derived from [`BuilderConfig`]. + version (`str` or [`Version`], *optional*): + The version of the dataset. + splits (`dict`, *optional*): + The mapping between split name and metadata. + download_checksums (`dict`, *optional*): + The mapping between the URL to download the dataset's checksums and corresponding metadata. + download_size (`int`, *optional*): + The size of the files to download to generate the dataset, in bytes. + post_processing_size (`int`, *optional*): + Size of the dataset in bytes after post-processing, if any. + dataset_size (`int`, *optional*): + The combined size in bytes of the Arrow tables for all splits. + size_in_bytes (`int`, *optional*): + The combined size in bytes of all files associated with the dataset (downloaded files + Arrow files). + **config_kwargs (additional keyword arguments): + Keyword arguments to be passed to the [`BuilderConfig`] and used in the [`DatasetBuilder`]. + """ + + # Set in the dataset scripts + description: str = dataclasses.field(default_factory=str) + citation: str = dataclasses.field(default_factory=str) + homepage: str = dataclasses.field(default_factory=str) + license: str = dataclasses.field(default_factory=str) + features: Optional[Features] = None + post_processed: Optional[PostProcessedInfo] = None + supervised_keys: Optional[SupervisedKeysData] = None + + # Set later by the builder + builder_name: Optional[str] = None + dataset_name: Optional[str] = None # for packaged builders, to be different from builder_name + config_name: Optional[str] = None + version: Optional[Union[str, Version]] = None + # Set later by `download_and_prepare` + splits: Optional[dict] = None + download_checksums: Optional[dict] = None + download_size: Optional[int] = None + post_processing_size: Optional[int] = None + dataset_size: Optional[int] = None + size_in_bytes: Optional[int] = None + + _INCLUDED_INFO_IN_YAML: ClassVar[list[str]] = [ + "config_name", + "download_size", + "dataset_size", + "features", + "splits", + ] + + def __post_init__(self): + # Convert back to the correct classes when we reload from dict + if self.features is not None and not isinstance(self.features, Features): + self.features = Features.from_dict(self.features) + if self.post_processed is not None and not isinstance(self.post_processed, PostProcessedInfo): + self.post_processed = PostProcessedInfo.from_dict(self.post_processed) + if self.version is not None and not isinstance(self.version, Version): + if isinstance(self.version, str): + self.version = Version(self.version) + else: + self.version = Version.from_dict(self.version) + if self.splits is not None and not isinstance(self.splits, SplitDict): + self.splits = SplitDict.from_split_dict(self.splits) + if self.supervised_keys is not None and not isinstance(self.supervised_keys, SupervisedKeysData): + if isinstance(self.supervised_keys, (tuple, list)): + self.supervised_keys = SupervisedKeysData(*self.supervised_keys) + else: + self.supervised_keys = SupervisedKeysData(**self.supervised_keys) + + def write_to_directory(self, dataset_info_dir, pretty_print=False, storage_options: Optional[dict] = None): + """Write `DatasetInfo` and license (if present) as JSON files to `dataset_info_dir`. + + Args: + dataset_info_dir (`str`): + Destination directory. + pretty_print (`bool`, defaults to `False`): + If `True`, the JSON will be pretty-printed with the indent level of 4. + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation") + >>> ds.info.write_to_directory("/path/to/directory/") + ``` + """ + fs: fsspec.AbstractFileSystem + fs, *_ = url_to_fs(dataset_info_dir, **(storage_options or {})) + with fs.open(posixpath.join(dataset_info_dir, config.DATASET_INFO_FILENAME), "wb") as f: + self._dump_info(f, pretty_print=pretty_print) + if self.license: + with fs.open(posixpath.join(dataset_info_dir, config.LICENSE_FILENAME), "wb") as f: + self._dump_license(f) + + def _dump_info(self, file, pretty_print=False): + """Dump info in `file` file-like object open in bytes mode (to support remote files)""" + file.write(json.dumps(asdict(self), indent=4 if pretty_print else None).encode("utf-8")) + + def _dump_license(self, file): + """Dump license in `file` file-like object open in bytes mode (to support remote files)""" + file.write(self.license.encode("utf-8")) + + @classmethod + def from_merge(cls, dataset_infos: list["DatasetInfo"]): + dataset_infos = [dset_info.copy() for dset_info in dataset_infos if dset_info is not None] + + if len(dataset_infos) > 0 and all(dataset_infos[0] == dset_info for dset_info in dataset_infos): + # if all dataset_infos are equal we don't need to merge. Just return the first. + return dataset_infos[0] + + description = "\n\n".join(unique_values(info.description for info in dataset_infos)).strip() + citation = "\n\n".join(unique_values(info.citation for info in dataset_infos)).strip() + homepage = "\n\n".join(unique_values(info.homepage for info in dataset_infos)).strip() + license = "\n\n".join(unique_values(info.license for info in dataset_infos)).strip() + features = None + supervised_keys = None + + return cls( + description=description, + citation=citation, + homepage=homepage, + license=license, + features=features, + supervised_keys=supervised_keys, + ) + + @classmethod + def from_directory(cls, dataset_info_dir: str, storage_options: Optional[dict] = None) -> "DatasetInfo": + """Create [`DatasetInfo`] from the JSON file in `dataset_info_dir`. + + This function updates all the dynamically generated fields (num_examples, + hash, time of creation,...) of the [`DatasetInfo`]. + + This will overwrite all previous metadata. + + Args: + dataset_info_dir (`str`): + The directory containing the metadata file. This + should be the root directory of a specific dataset version. + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + + Example: + + ```py + >>> from datasets import DatasetInfo + >>> ds_info = DatasetInfo.from_directory("/path/to/directory/") + ``` + """ + fs: fsspec.AbstractFileSystem + fs, *_ = url_to_fs(dataset_info_dir, **(storage_options or {})) + logger.info(f"Loading Dataset info from {dataset_info_dir}") + if not dataset_info_dir: + raise ValueError("Calling DatasetInfo.from_directory() with undefined dataset_info_dir.") + with fs.open(posixpath.join(dataset_info_dir, config.DATASET_INFO_FILENAME), "r", encoding="utf-8") as f: + dataset_info_dict = json.load(f) + return cls.from_dict(dataset_info_dict) + + @classmethod + def from_dict(cls, dataset_info_dict: dict) -> "DatasetInfo": + field_names = {f.name for f in dataclasses.fields(cls)} + return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names}) + + def update(self, other_dataset_info: "DatasetInfo", ignore_none=True): + self_dict = self.__dict__ + self_dict.update( + **{ + k: copy.deepcopy(v) + for k, v in other_dataset_info.__dict__.items() + if (v is not None or not ignore_none) + } + ) + + def copy(self) -> "DatasetInfo": + return self.__class__(**{k: copy.deepcopy(v) for k, v in self.__dict__.items()}) + + def _to_yaml_dict(self) -> dict: + yaml_dict = {} + dataset_info_dict = asdict(self) + for key in dataset_info_dict: + if key in self._INCLUDED_INFO_IN_YAML: + value = getattr(self, key) + if hasattr(value, "_to_yaml_list"): # Features, SplitDict + yaml_dict[key] = value._to_yaml_list() + elif hasattr(value, "_to_yaml_string"): # Version + yaml_dict[key] = value._to_yaml_string() + else: + yaml_dict[key] = value + return yaml_dict + + @classmethod + def _from_yaml_dict(cls, yaml_data: dict) -> "DatasetInfo": + yaml_data = copy.deepcopy(yaml_data) + if yaml_data.get("features") is not None: + yaml_data["features"] = Features._from_yaml_list(yaml_data["features"]) + if yaml_data.get("splits") is not None: + yaml_data["splits"] = SplitDict._from_yaml_list(yaml_data["splits"]) + field_names = {f.name for f in dataclasses.fields(cls)} + return cls(**{k: v for k, v in yaml_data.items() if k in field_names}) + + +class DatasetInfosDict(dict[str, DatasetInfo]): + def write_to_directory(self, dataset_infos_dir, overwrite=False, pretty_print=False) -> None: + total_dataset_infos = {} + dataset_infos_path = os.path.join(dataset_infos_dir, config.DATASETDICT_INFOS_FILENAME) + dataset_readme_path = os.path.join(dataset_infos_dir, config.REPOCARD_FILENAME) + if not overwrite: + total_dataset_infos = self.from_directory(dataset_infos_dir) + total_dataset_infos.update(self) + if os.path.exists(dataset_infos_path): + # for backward compatibility, let's update the JSON file if it exists + with open(dataset_infos_path, "w", encoding="utf-8") as f: + dataset_infos_dict = { + config_name: asdict(dset_info) for config_name, dset_info in total_dataset_infos.items() + } + json.dump(dataset_infos_dict, f, indent=4 if pretty_print else None) + # Dump the infos in the YAML part of the README.md file + if os.path.exists(dataset_readme_path): + dataset_card = DatasetCard.load(dataset_readme_path) + dataset_card_data = dataset_card.data + else: + dataset_card = None + dataset_card_data = DatasetCardData() + if total_dataset_infos: + total_dataset_infos.to_dataset_card_data(dataset_card_data) + dataset_card = ( + DatasetCard("---\n" + str(dataset_card_data) + "\n---\n") if dataset_card is None else dataset_card + ) + dataset_card.save(Path(dataset_readme_path)) + + @classmethod + def from_directory(cls, dataset_infos_dir) -> "DatasetInfosDict": + logger.info(f"Loading Dataset Infos from {dataset_infos_dir}") + # Load the info from the YAML part of README.md + if os.path.exists(os.path.join(dataset_infos_dir, config.REPOCARD_FILENAME)): + dataset_card_data = DatasetCard.load(Path(dataset_infos_dir) / config.REPOCARD_FILENAME).data + if "dataset_info" in dataset_card_data: + return cls.from_dataset_card_data(dataset_card_data) + if os.path.exists(os.path.join(dataset_infos_dir, config.DATASETDICT_INFOS_FILENAME)): + # this is just to have backward compatibility with dataset_infos.json files + with open(os.path.join(dataset_infos_dir, config.DATASETDICT_INFOS_FILENAME), encoding="utf-8") as f: + return cls( + { + config_name: DatasetInfo.from_dict(dataset_info_dict) + for config_name, dataset_info_dict in json.load(f).items() + } + ) + else: + return cls() + + @classmethod + def from_dataset_card_data(cls, dataset_card_data: DatasetCardData) -> "DatasetInfosDict": + if isinstance(dataset_card_data.get("dataset_info"), (list, dict)): + if isinstance(dataset_card_data["dataset_info"], list): + return cls( + { + dataset_info_yaml_dict.get("config_name", "default"): DatasetInfo._from_yaml_dict( + dataset_info_yaml_dict + ) + for dataset_info_yaml_dict in dataset_card_data["dataset_info"] + } + ) + else: + dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"]) + dataset_info.config_name = dataset_card_data["dataset_info"].get("config_name", "default") + return cls({dataset_info.config_name: dataset_info}) + else: + return cls() + + def to_dataset_card_data(self, dataset_card_data: DatasetCardData) -> None: + if self: + # first get existing metadata info + if "dataset_info" in dataset_card_data and isinstance(dataset_card_data["dataset_info"], dict): + dataset_metadata_infos = { + dataset_card_data["dataset_info"].get("config_name", "default"): dataset_card_data["dataset_info"] + } + elif "dataset_info" in dataset_card_data and isinstance(dataset_card_data["dataset_info"], list): + dataset_metadata_infos = { + config_metadata["config_name"]: config_metadata + for config_metadata in dataset_card_data["dataset_info"] + } + else: + dataset_metadata_infos = {} + # update/rewrite existing metadata info with the one to dump + total_dataset_infos = { + **dataset_metadata_infos, + **{config_name: dset_info._to_yaml_dict() for config_name, dset_info in self.items()}, + } + # the config_name from the dataset_infos_dict takes over the config_name of the DatasetInfo + for config_name, dset_info_yaml_dict in total_dataset_infos.items(): + dset_info_yaml_dict["config_name"] = config_name + if len(total_dataset_infos) == 1: + # use a struct instead of a list of configurations, since there's only one + dataset_card_data["dataset_info"] = next(iter(total_dataset_infos.values())) + config_name = dataset_card_data["dataset_info"].pop("config_name", None) + if config_name != "default": + # if config_name is not "default" preserve it and put at the first position + dataset_card_data["dataset_info"] = { + "config_name": config_name, + **dataset_card_data["dataset_info"], + } + else: + dataset_card_data["dataset_info"] = [] + for config_name, dataset_info_yaml_dict in sorted(total_dataset_infos.items()): + # add the config_name field in first position + dataset_info_yaml_dict.pop("config_name", None) + dataset_info_yaml_dict = {"config_name": config_name, **dataset_info_yaml_dict} + dataset_card_data["dataset_info"].append(dataset_info_yaml_dict) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/inspect.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/inspect.py new file mode 100644 index 0000000000000000000000000000000000000000..0eff9d2c002f741a3fd2f8d11f4079061a1be702 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/inspect.py @@ -0,0 +1,363 @@ +# Copyright 2020 The HuggingFace Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""List and inspect datasets.""" + +import os +from collections.abc import Mapping, Sequence +from typing import Optional, Union + +from .download.download_config import DownloadConfig +from .download.download_manager import DownloadMode +from .download.streaming_download_manager import StreamingDownloadManager +from .info import DatasetInfo +from .load import ( + dataset_module_factory, + get_dataset_builder_class, + load_dataset_builder, +) +from .utils.logging import get_logger +from .utils.version import Version + + +logger = get_logger(__name__) + + +class SplitsNotFoundError(ValueError): + pass + + +def get_dataset_infos( + path: str, + data_files: Optional[Union[dict, list, str]] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + revision: Optional[Union[str, Version]] = None, + token: Optional[Union[bool, str]] = None, + **config_kwargs, +): + """Get the meta information about a dataset, returned as a dict mapping config name to DatasetInfoDict. + + Args: + path (`str`): path to the dataset processing script with the dataset builder. Can be either: + + - a local path to processing script or the directory containing the script (if the script has the same name as the directory), + e.g. `'./dataset/squad'` or `'./dataset/squad/squad.py'` + - a dataset identifier on the Hugging Face Hub (list all available datasets and ids with [`huggingface_hub.list_datasets`]), + e.g. `'rajpurkar/squad'`, `'nyu-mll/glue'` or``'openai/webtext'` + revision (`Union[str, datasets.Version]`, *optional*): + If specified, the dataset module will be loaded from the datasets repository at this version. + By default: + - it is set to the local version of the lib. + - it will also try to load it from the main branch if it's not available at the local version of the lib. + Specifying a version that is different from your local version of the lib might cause compatibility issues. + download_config ([`DownloadConfig`], *optional*): + Specific download configuration parameters. + download_mode ([`DownloadMode`] or `str`, defaults to `REUSE_DATASET_IF_EXISTS`): + Download/generate mode. + data_files (`Union[Dict, List, str]`, *optional*): + Defining the data_files of the dataset configuration. + token (`str` or `bool`, *optional*): + Optional string or boolean to use as Bearer token for remote files on the Datasets Hub. + If `True`, or not specified, will get token from `"~/.huggingface"`. + **config_kwargs (additional keyword arguments): + Optional attributes for builder class which will override the attributes if supplied. + + Example: + + ```py + >>> from datasets import get_dataset_infos + >>> get_dataset_infos('cornell-movie-review-data/rotten_tomatoes') + {'default': DatasetInfo(description="Movie Review Dataset.\nThis is a dataset of containing 5,331 positive and 5,331 negative processed\nsentences from Rotten Tomatoes movie reviews...), ...} + ``` + """ + config_names = get_dataset_config_names( + path=path, + revision=revision, + download_config=download_config, + download_mode=download_mode, + data_files=data_files, + token=token, + ) + return { + config_name: get_dataset_config_info( + path=path, + config_name=config_name, + data_files=data_files, + download_config=download_config, + download_mode=download_mode, + revision=revision, + token=token, + **config_kwargs, + ) + for config_name in config_names + } + + +def get_dataset_config_names( + path: str, + revision: Optional[Union[str, Version]] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + dynamic_modules_path: Optional[str] = None, + data_files: Optional[Union[dict, list, str]] = None, + **download_kwargs, +): + """Get the list of available config names for a particular dataset. + + Args: + path (`str`): path to the dataset processing script with the dataset builder. Can be either: + + - a local path to processing script or the directory containing the script (if the script has the same name as the directory), + e.g. `'./dataset/squad'` or `'./dataset/squad/squad.py'` + - a dataset identifier on the Hugging Face Hub (list all available datasets and ids with [`huggingface_hub.list_datasets`]), + e.g. `'rajpurkar/squad'`, `'nyu-mll/glue'` or `'openai/webtext'` + revision (`Union[str, datasets.Version]`, *optional*): + If specified, the dataset module will be loaded from the datasets repository at this version. + By default: + - it is set to the local version of the lib. + - it will also try to load it from the main branch if it's not available at the local version of the lib. + Specifying a version that is different from your local version of the lib might cause compatibility issues. + download_config ([`DownloadConfig`], *optional*): + Specific download configuration parameters. + download_mode ([`DownloadMode`] or `str`, defaults to `REUSE_DATASET_IF_EXISTS`): + Download/generate mode. + dynamic_modules_path (`str`, defaults to `~/.cache/huggingface/modules/datasets_modules`): + Optional path to the directory in which the dynamic modules are saved. It must have been initialized with `init_dynamic_modules`. + By default the datasets are stored inside the `datasets_modules` module. + data_files (`Union[Dict, List, str]`, *optional*): + Defining the data_files of the dataset configuration. + **download_kwargs (additional keyword arguments): + Optional attributes for [`DownloadConfig`] which will override the attributes in `download_config` if supplied, + for example `token`. + + Example: + + ```py + >>> from datasets import get_dataset_config_names + >>> get_dataset_config_names("nyu-mll/glue") + ['cola', + 'sst2', + 'mrpc', + 'qqp', + 'stsb', + 'mnli', + 'mnli_mismatched', + 'mnli_matched', + 'qnli', + 'rte', + 'wnli', + 'ax'] + ``` + """ + dataset_module = dataset_module_factory( + path, + revision=revision, + download_config=download_config, + download_mode=download_mode, + dynamic_modules_path=dynamic_modules_path, + data_files=data_files, + **download_kwargs, + ) + builder_cls = get_dataset_builder_class(dataset_module, dataset_name=os.path.basename(path)) + return list(builder_cls.builder_configs.keys()) or [ + dataset_module.builder_kwargs.get("config_name", builder_cls.DEFAULT_CONFIG_NAME or "default") + ] + + +def get_dataset_default_config_name( + path: str, + revision: Optional[Union[str, Version]] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + dynamic_modules_path: Optional[str] = None, + data_files: Optional[Union[dict, list, str]] = None, + **download_kwargs, +) -> Optional[str]: + """Get the default config name for a particular dataset. + Can return None only if the dataset has multiple configurations and no default configuration. + + Args: + path (`str`): path to the dataset processing script with the dataset builder. Can be either: + + - a local path to processing script or the directory containing the script (if the script has the same name as the directory), + e.g. `'./dataset/squad'` or `'./dataset/squad/squad.py'` + - a dataset identifier on the Hugging Face Hub (list all available datasets and ids with [`huggingface_hub.list_datasets`]), + e.g. `'rajpurkar/squad'`, `'nyu-mll/glue'` or `'openai/webtext'` + revision (`Union[str, datasets.Version]`, *optional*): + If specified, the dataset module will be loaded from the datasets repository at this version. + By default: + - it is set to the local version of the lib. + - it will also try to load it from the main branch if it's not available at the local version of the lib. + Specifying a version that is different from your local version of the lib might cause compatibility issues. + download_config ([`DownloadConfig`], *optional*): + Specific download configuration parameters. + download_mode ([`DownloadMode`] or `str`, defaults to `REUSE_DATASET_IF_EXISTS`): + Download/generate mode. + dynamic_modules_path (`str`, defaults to `~/.cache/huggingface/modules/datasets_modules`): + Optional path to the directory in which the dynamic modules are saved. It must have been initialized with `init_dynamic_modules`. + By default the datasets are stored inside the `datasets_modules` module. + data_files (`Union[Dict, List, str]`, *optional*): + Defining the data_files of the dataset configuration. + **download_kwargs (additional keyword arguments): + Optional attributes for [`DownloadConfig`] which will override the attributes in `download_config` if supplied, + for example `token`. + + Returns: + Optional[str]: the default config name if there is one + + Example: + + ```py + >>> from datasets import get_dataset_default_config_name + >>> get_dataset_default_config_name("openbookqa") + 'main' + ``` + """ + dataset_module = dataset_module_factory( + path, + revision=revision, + download_config=download_config, + download_mode=download_mode, + dynamic_modules_path=dynamic_modules_path, + data_files=data_files, + **download_kwargs, + ) + builder_cls = get_dataset_builder_class(dataset_module, dataset_name=os.path.basename(path)) + builder_configs = list(builder_cls.builder_configs.keys()) + if builder_configs: + default_config_name = builder_configs[0] if len(builder_configs) == 1 else None + else: + default_config_name = "default" + return builder_cls.DEFAULT_CONFIG_NAME or default_config_name + + +def get_dataset_config_info( + path: str, + config_name: Optional[str] = None, + data_files: Optional[Union[str, Sequence[str], Mapping[str, Union[str, Sequence[str]]]]] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + revision: Optional[Union[str, Version]] = None, + token: Optional[Union[bool, str]] = None, + **config_kwargs, +) -> DatasetInfo: + """Get the meta information (DatasetInfo) about a dataset for a particular config + + Args: + path (``str``): path to the dataset processing script with the dataset builder. Can be either: + + - a local path to processing script or the directory containing the script (if the script has the same name as the directory), + e.g. ``'./dataset/squad'`` or ``'./dataset/squad/squad.py'`` + - a dataset identifier on the Hugging Face Hub (list all available datasets and ids with [`huggingface_hub.list_datasets`]), + e.g. ``'rajpurkar/squad'``, ``'nyu-mll/glue'`` or ``'openai/webtext'`` + config_name (:obj:`str`, optional): Defining the name of the dataset configuration. + data_files (:obj:`str` or :obj:`Sequence` or :obj:`Mapping`, optional): Path(s) to source data file(s). + download_config (:class:`~download.DownloadConfig`, optional): Specific download configuration parameters. + download_mode (:class:`DownloadMode` or :obj:`str`, default ``REUSE_DATASET_IF_EXISTS``): Download/generate mode. + revision (:class:`~utils.Version` or :obj:`str`, optional): Version of the dataset script to load. + As datasets have their own git repository on the Datasets Hub, the default version "main" corresponds to their "main" branch. + You can specify a different version than the default "main" by using a commit SHA or a git tag of the dataset repository. + token (``str`` or :obj:`bool`, optional): Optional string or boolean to use as Bearer token for remote files on the Datasets Hub. + If True, or not specified, will get token from `"~/.huggingface"`. + **config_kwargs (additional keyword arguments): optional attributes for builder class which will override the attributes if supplied. + + """ + builder = load_dataset_builder( + path, + name=config_name, + data_files=data_files, + download_config=download_config, + download_mode=download_mode, + revision=revision, + token=token, + **config_kwargs, + ) + info = builder.info + if info.splits is None: + download_config = download_config.copy() if download_config else DownloadConfig() + if token is not None: + download_config.token = token + builder._check_manual_download( + StreamingDownloadManager(base_path=builder.base_path, download_config=download_config) + ) + try: + info.splits = { + split_generator.name: {"name": split_generator.name, "dataset_name": path} + for split_generator in builder._split_generators( + StreamingDownloadManager(base_path=builder.base_path, download_config=download_config) + ) + } + except Exception as err: + raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err + return info + + +def get_dataset_split_names( + path: str, + config_name: Optional[str] = None, + data_files: Optional[Union[str, Sequence[str], Mapping[str, Union[str, Sequence[str]]]]] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + revision: Optional[Union[str, Version]] = None, + token: Optional[Union[bool, str]] = None, + **config_kwargs, +): + """Get the list of available splits for a particular config and dataset. + + Args: + path (`str`): path to the dataset processing script with the dataset builder. Can be either: + + - a local path to processing script or the directory containing the script (if the script has the same name as the directory), + e.g. `'./dataset/squad'` or `'./dataset/squad/squad.py'` + - a dataset identifier on the Hugging Face Hub (list all available datasets and ids with [`huggingface_hub.list_datasets`]), + e.g. `'rajpurkar/squad'`, `'nyu-mll/glue'` or `'openai/webtext'` + config_name (`str`, *optional*): + Defining the name of the dataset configuration. + data_files (`str` or `Sequence` or `Mapping`, *optional*): + Path(s) to source data file(s). + download_config ([`DownloadConfig`], *optional*): + Specific download configuration parameters. + download_mode ([`DownloadMode`] or `str`, defaults to `REUSE_DATASET_IF_EXISTS`): + Download/generate mode. + revision ([`Version`] or `str`, *optional*): + Version of the dataset script to load. + As datasets have their own git repository on the Datasets Hub, the default version "main" corresponds to their "main" branch. + You can specify a different version than the default "main" by using a commit SHA or a git tag of the dataset repository. + token (`str` or `bool`, *optional*): + Optional string or boolean to use as Bearer token for remote files on the Datasets Hub. + If `True`, or not specified, will get token from `"~/.huggingface"`. + **config_kwargs (additional keyword arguments): + Optional attributes for builder class which will override the attributes if supplied. + + Example: + + ```py + >>> from datasets import get_dataset_split_names + >>> get_dataset_split_names('cornell-movie-review-data/rotten_tomatoes') + ['train', 'validation', 'test'] + ``` + """ + info = get_dataset_config_info( + path, + config_name=config_name, + data_files=data_files, + download_config=download_config, + download_mode=download_mode, + revision=revision, + token=token, + **config_kwargs, + ) + return list(info.splits.keys()) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/abc.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/abc.py new file mode 100644 index 0000000000000000000000000000000000000000..a1913cc20e3fd748ef912e2fb3d7c1e18f16ac8c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/abc.py @@ -0,0 +1,53 @@ +from abc import ABC, abstractmethod +from typing import Optional, Union + +from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit +from ..utils.typing import NestedDataStructureLike, PathLike + + +class AbstractDatasetReader(ABC): + def __init__( + self, + path_or_paths: Optional[NestedDataStructureLike[PathLike]] = None, + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + streaming: bool = False, + num_proc: Optional[int] = None, + **kwargs, + ): + self.path_or_paths = path_or_paths + self.split = split if split or isinstance(path_or_paths, dict) else "train" + self.features = features + self.cache_dir = cache_dir + self.keep_in_memory = keep_in_memory + self.streaming = streaming + self.num_proc = num_proc + self.kwargs = kwargs + + @abstractmethod + def read(self) -> Union[Dataset, DatasetDict, IterableDataset, IterableDatasetDict]: + pass + + +class AbstractDatasetInputStream(ABC): + def __init__( + self, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + streaming: bool = False, + num_proc: Optional[int] = None, + **kwargs, + ): + self.features = features + self.cache_dir = cache_dir + self.keep_in_memory = keep_in_memory + self.streaming = streaming + self.num_proc = num_proc + self.kwargs = kwargs + + @abstractmethod + def read(self) -> Union[Dataset, IterableDataset]: + pass diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/csv.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/csv.py new file mode 100644 index 0000000000000000000000000000000000000000..4ac2ea1135b579ae0f38f7dafc73ae5c2db1a6b6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/csv.py @@ -0,0 +1,145 @@ +import multiprocessing +import os +from typing import BinaryIO, Optional, Union + +import fsspec + +from .. import Dataset, Features, NamedSplit, config +from ..formatting import query_table +from ..packaged_modules.csv.csv import Csv +from ..utils import tqdm as hf_tqdm +from ..utils.typing import NestedDataStructureLike, PathLike +from .abc import AbstractDatasetReader + + +class CsvDatasetReader(AbstractDatasetReader): + def __init__( + self, + path_or_paths: NestedDataStructureLike[PathLike], + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + streaming: bool = False, + num_proc: Optional[int] = None, + **kwargs, + ): + super().__init__( + path_or_paths, + split=split, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + streaming=streaming, + num_proc=num_proc, + **kwargs, + ) + path_or_paths = path_or_paths if isinstance(path_or_paths, dict) else {self.split: path_or_paths} + self.builder = Csv( + cache_dir=cache_dir, + data_files=path_or_paths, + features=features, + **kwargs, + ) + + def read(self): + # Build iterable dataset + if self.streaming: + dataset = self.builder.as_streaming_dataset(split=self.split) + # Build regular (map-style) dataset + else: + download_config = None + download_mode = None + verification_mode = None + base_path = None + + self.builder.download_and_prepare( + download_config=download_config, + download_mode=download_mode, + verification_mode=verification_mode, + base_path=base_path, + num_proc=self.num_proc, + ) + dataset = self.builder.as_dataset( + split=self.split, verification_mode=verification_mode, in_memory=self.keep_in_memory + ) + return dataset + + +class CsvDatasetWriter: + def __init__( + self, + dataset: Dataset, + path_or_buf: Union[PathLike, BinaryIO], + batch_size: Optional[int] = None, + num_proc: Optional[int] = None, + storage_options: Optional[dict] = None, + **to_csv_kwargs, + ): + if num_proc is not None and num_proc <= 0: + raise ValueError(f"num_proc {num_proc} must be an integer > 0.") + + self.dataset = dataset + self.path_or_buf = path_or_buf + self.batch_size = batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE + self.num_proc = num_proc + self.encoding = "utf-8" + self.storage_options = storage_options or {} + self.to_csv_kwargs = to_csv_kwargs + + def write(self) -> int: + _ = self.to_csv_kwargs.pop("path_or_buf", None) + header = self.to_csv_kwargs.pop("header", True) + index = self.to_csv_kwargs.pop("index", False) + + if isinstance(self.path_or_buf, (str, bytes, os.PathLike)): + with fsspec.open(self.path_or_buf, "wb", **(self.storage_options or {})) as buffer: + written = self._write(file_obj=buffer, header=header, index=index, **self.to_csv_kwargs) + else: + written = self._write(file_obj=self.path_or_buf, header=header, index=index, **self.to_csv_kwargs) + return written + + def _batch_csv(self, args): + offset, header, index, to_csv_kwargs = args + + batch = query_table( + table=self.dataset.data, + key=slice(offset, offset + self.batch_size), + indices=self.dataset._indices, + ) + csv_str = batch.to_pandas().to_csv( + path_or_buf=None, header=header if (offset == 0) else False, index=index, **to_csv_kwargs + ) + return csv_str.encode(self.encoding) + + def _write(self, file_obj: BinaryIO, header, index, **to_csv_kwargs) -> int: + """Writes the pyarrow table as CSV to a binary file handle. + + Caller is responsible for opening and closing the handle. + """ + written = 0 + + if self.num_proc is None or self.num_proc == 1: + for offset in hf_tqdm( + range(0, len(self.dataset), self.batch_size), + unit="ba", + desc="Creating CSV from Arrow format", + ): + csv_str = self._batch_csv((offset, header, index, to_csv_kwargs)) + written += file_obj.write(csv_str) + + else: + num_rows, batch_size = len(self.dataset), self.batch_size + with multiprocessing.Pool(self.num_proc) as pool: + for csv_str in hf_tqdm( + pool.imap( + self._batch_csv, + [(offset, header, index, to_csv_kwargs) for offset in range(0, num_rows, batch_size)], + ), + total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size, + unit="ba", + desc="Creating CSV from Arrow format", + ): + written += file_obj.write(csv_str) + + return written diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/generator.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/generator.py new file mode 100644 index 0000000000000000000000000000000000000000..b10609cac23493ec752080bf19ac166aaf5c63a9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/generator.py @@ -0,0 +1,59 @@ +from typing import Callable, Optional + +from .. import Features, NamedSplit, Split +from ..packaged_modules.generator.generator import Generator +from .abc import AbstractDatasetInputStream + + +class GeneratorDatasetInputStream(AbstractDatasetInputStream): + def __init__( + self, + generator: Callable, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + streaming: bool = False, + gen_kwargs: Optional[dict] = None, + num_proc: Optional[int] = None, + split: NamedSplit = Split.TRAIN, + **kwargs, + ): + super().__init__( + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + streaming=streaming, + num_proc=num_proc, + **kwargs, + ) + self.builder = Generator( + cache_dir=cache_dir, + features=features, + generator=generator, + gen_kwargs=gen_kwargs, + split=split, + **kwargs, + ) + + def read(self): + # Build iterable dataset + if self.streaming: + dataset = self.builder.as_streaming_dataset(split=self.builder.config.split) + # Build regular (map-style) dataset + else: + download_config = None + download_mode = None + verification_mode = None + base_path = None + + self.builder.download_and_prepare( + download_config=download_config, + download_mode=download_mode, + verification_mode=verification_mode, + base_path=base_path, + num_proc=self.num_proc, + ) + dataset = self.builder.as_dataset( + split=self.builder.config.split, verification_mode=verification_mode, in_memory=self.keep_in_memory + ) + return dataset diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/json.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/json.py new file mode 100644 index 0000000000000000000000000000000000000000..41abfa518ccb7b46c446b98eb249f4c95ed9a731 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/json.py @@ -0,0 +1,174 @@ +import multiprocessing +import os +from typing import BinaryIO, Optional, Union + +import fsspec + +from .. import Dataset, Features, NamedSplit, config +from ..formatting import query_table +from ..packaged_modules.json.json import Json +from ..utils import tqdm as hf_tqdm +from ..utils.typing import NestedDataStructureLike, PathLike +from .abc import AbstractDatasetReader + + +class JsonDatasetReader(AbstractDatasetReader): + def __init__( + self, + path_or_paths: NestedDataStructureLike[PathLike], + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + streaming: bool = False, + field: Optional[str] = None, + num_proc: Optional[int] = None, + **kwargs, + ): + super().__init__( + path_or_paths, + split=split, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + streaming=streaming, + num_proc=num_proc, + **kwargs, + ) + self.field = field + path_or_paths = path_or_paths if isinstance(path_or_paths, dict) else {self.split: path_or_paths} + self.builder = Json( + cache_dir=cache_dir, + data_files=path_or_paths, + features=features, + field=field, + **kwargs, + ) + + def read(self): + # Build iterable dataset + if self.streaming: + dataset = self.builder.as_streaming_dataset(split=self.split) + # Build regular (map-style) dataset + else: + download_config = None + download_mode = None + verification_mode = None + base_path = None + + self.builder.download_and_prepare( + download_config=download_config, + download_mode=download_mode, + verification_mode=verification_mode, + base_path=base_path, + num_proc=self.num_proc, + ) + dataset = self.builder.as_dataset( + split=self.split, verification_mode=verification_mode, in_memory=self.keep_in_memory + ) + return dataset + + +class JsonDatasetWriter: + def __init__( + self, + dataset: Dataset, + path_or_buf: Union[PathLike, BinaryIO], + batch_size: Optional[int] = None, + num_proc: Optional[int] = None, + storage_options: Optional[dict] = None, + **to_json_kwargs, + ): + if num_proc is not None and num_proc <= 0: + raise ValueError(f"num_proc {num_proc} must be an integer > 0.") + + self.dataset = dataset + self.path_or_buf = path_or_buf + self.batch_size = batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE + self.num_proc = num_proc + self.encoding = "utf-8" + self.storage_options = storage_options or {} + self.to_json_kwargs = to_json_kwargs + + def write(self) -> int: + _ = self.to_json_kwargs.pop("path_or_buf", None) + orient = self.to_json_kwargs.pop("orient", "records") + lines = self.to_json_kwargs.pop("lines", True if orient == "records" else False) + if "index" not in self.to_json_kwargs and orient in ["split", "table"]: + self.to_json_kwargs["index"] = False + + # Determine the default compression value based on self.path_or_buf type + default_compression = "infer" if isinstance(self.path_or_buf, (str, bytes, os.PathLike)) else None + compression = self.to_json_kwargs.pop("compression", default_compression) + + if compression not in [None, "infer", "gzip", "bz2", "xz"]: + raise NotImplementedError(f"`datasets` currently does not support {compression} compression") + + if not lines and self.batch_size < self.dataset.num_rows: + raise NotImplementedError( + "Output JSON will not be formatted correctly when lines = False and batch_size < number of rows in the dataset. Use pandas.DataFrame.to_json() instead." + ) + + if isinstance(self.path_or_buf, (str, bytes, os.PathLike)): + with fsspec.open( + self.path_or_buf, "wb", compression=compression, **(self.storage_options or {}) + ) as buffer: + written = self._write(file_obj=buffer, orient=orient, lines=lines, **self.to_json_kwargs) + else: + if compression: + raise NotImplementedError( + f"The compression parameter is not supported when writing to a buffer, but compression={compression}" + " was passed. Please provide a local path instead." + ) + written = self._write(file_obj=self.path_or_buf, orient=orient, lines=lines, **self.to_json_kwargs) + return written + + def _batch_json(self, args): + offset, orient, lines, to_json_kwargs = args + + batch = query_table( + table=self.dataset.data, + key=slice(offset, offset + self.batch_size), + indices=self.dataset._indices, + ) + json_str = batch.to_pandas().to_json(path_or_buf=None, orient=orient, lines=lines, **to_json_kwargs) + if not json_str.endswith("\n"): + json_str += "\n" + return json_str.encode(self.encoding) + + def _write( + self, + file_obj: BinaryIO, + orient, + lines, + **to_json_kwargs, + ) -> int: + """Writes the pyarrow table as JSON lines to a binary file handle. + + Caller is responsible for opening and closing the handle. + """ + written = 0 + + if self.num_proc is None or self.num_proc == 1: + for offset in hf_tqdm( + range(0, len(self.dataset), self.batch_size), + unit="ba", + desc="Creating json from Arrow format", + ): + json_str = self._batch_json((offset, orient, lines, to_json_kwargs)) + written += file_obj.write(json_str) + else: + num_rows, batch_size = len(self.dataset), self.batch_size + with multiprocessing.Pool(self.num_proc) as pool: + for json_str in hf_tqdm( + pool.imap( + self._batch_json, + [(offset, orient, lines, to_json_kwargs) for offset in range(0, num_rows, batch_size)], + ), + total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size, + unit="ba", + desc="Creating json from Arrow format", + ): + written += file_obj.write(json_str) + + return written diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/parquet.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/parquet.py new file mode 100644 index 0000000000000000000000000000000000000000..d34f51102046a39a9dd0bba3eb3eb982e223d187 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/parquet.py @@ -0,0 +1,122 @@ +import os +from typing import BinaryIO, Optional, Union + +import fsspec +import pyarrow.parquet as pq + +from .. import Dataset, Features, NamedSplit, config +from ..arrow_writer import get_writer_batch_size +from ..formatting import query_table +from ..packaged_modules import _PACKAGED_DATASETS_MODULES +from ..packaged_modules.parquet.parquet import Parquet +from ..utils import tqdm as hf_tqdm +from ..utils.typing import NestedDataStructureLike, PathLike +from .abc import AbstractDatasetReader + + +class ParquetDatasetReader(AbstractDatasetReader): + def __init__( + self, + path_or_paths: NestedDataStructureLike[PathLike], + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + streaming: bool = False, + num_proc: Optional[int] = None, + **kwargs, + ): + super().__init__( + path_or_paths, + split=split, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + streaming=streaming, + num_proc=num_proc, + **kwargs, + ) + path_or_paths = path_or_paths if isinstance(path_or_paths, dict) else {self.split: path_or_paths} + hash = _PACKAGED_DATASETS_MODULES["parquet"][1] + self.builder = Parquet( + cache_dir=cache_dir, + data_files=path_or_paths, + features=features, + hash=hash, + **kwargs, + ) + + def read(self): + # Build iterable dataset + if self.streaming: + dataset = self.builder.as_streaming_dataset(split=self.split) + # Build regular (map-style) dataset + else: + download_config = None + download_mode = None + verification_mode = None + base_path = None + + self.builder.download_and_prepare( + download_config=download_config, + download_mode=download_mode, + verification_mode=verification_mode, + base_path=base_path, + num_proc=self.num_proc, + ) + dataset = self.builder.as_dataset( + split=self.split, verification_mode=verification_mode, in_memory=self.keep_in_memory + ) + return dataset + + +class ParquetDatasetWriter: + def __init__( + self, + dataset: Dataset, + path_or_buf: Union[PathLike, BinaryIO], + batch_size: Optional[int] = None, + storage_options: Optional[dict] = None, + **parquet_writer_kwargs, + ): + self.dataset = dataset + self.path_or_buf = path_or_buf + self.batch_size = batch_size or get_writer_batch_size(dataset.features) + self.storage_options = storage_options or {} + self.parquet_writer_kwargs = parquet_writer_kwargs + + def write(self) -> int: + batch_size = self.batch_size if self.batch_size else config.DEFAULT_MAX_BATCH_SIZE + + if isinstance(self.path_or_buf, (str, bytes, os.PathLike)): + with fsspec.open(self.path_or_buf, "wb", **(self.storage_options or {})) as buffer: + written = self._write(file_obj=buffer, batch_size=batch_size, **self.parquet_writer_kwargs) + else: + written = self._write(file_obj=self.path_or_buf, batch_size=batch_size, **self.parquet_writer_kwargs) + return written + + def _write(self, file_obj: BinaryIO, batch_size: int, **parquet_writer_kwargs) -> int: + """Writes the pyarrow table as Parquet to a binary file handle. + + Caller is responsible for opening and closing the handle. + """ + written = 0 + _ = parquet_writer_kwargs.pop("path_or_buf", None) + schema = self.dataset.features.arrow_schema + + writer = pq.ParquetWriter(file_obj, schema=schema, **parquet_writer_kwargs) + + for offset in hf_tqdm( + range(0, len(self.dataset), batch_size), + unit="ba", + desc="Creating parquet from Arrow format", + ): + batch = query_table( + table=self.dataset._data, + key=slice(offset, offset + batch_size), + indices=self.dataset._indices, + ) + writer.write_table(batch) + written += batch.nbytes + writer.close() + return written diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/spark.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/spark.py new file mode 100644 index 0000000000000000000000000000000000000000..7562ba1fb5f77ed8f82374e3021fcb3a93b1da8d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/spark.py @@ -0,0 +1,57 @@ +from typing import Optional + +import pyspark + +from .. import Features, NamedSplit +from ..download import DownloadMode +from ..packaged_modules.spark.spark import Spark +from .abc import AbstractDatasetReader + + +class SparkDatasetReader(AbstractDatasetReader): + """A dataset reader that reads from a Spark DataFrame. + + When caching, cache materialization is parallelized over Spark; an NFS that is accessible to the driver must be + provided. Streaming is not currently supported. + """ + + def __init__( + self, + df: pyspark.sql.DataFrame, + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + streaming: bool = True, + cache_dir: str = None, + keep_in_memory: bool = False, + working_dir: str = None, + load_from_cache_file: bool = True, + file_format: str = "arrow", + **kwargs, + ): + super().__init__( + split=split, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + streaming=streaming, + **kwargs, + ) + self._load_from_cache_file = load_from_cache_file + self._file_format = file_format + self.builder = Spark( + df=df, + features=features, + cache_dir=cache_dir, + working_dir=working_dir, + **kwargs, + ) + + def read(self): + if self.streaming: + return self.builder.as_streaming_dataset(split=self.split) + download_mode = None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD + self.builder.download_and_prepare( + download_mode=download_mode, + file_format=self._file_format, + ) + return self.builder.as_dataset(split=self.split) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/sql.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/sql.py new file mode 100644 index 0000000000000000000000000000000000000000..2331e3e6407fa81cd26569306ff2c7952dad4920 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/sql.py @@ -0,0 +1,124 @@ +import multiprocessing +from typing import TYPE_CHECKING, Optional, Union + +from .. import Dataset, Features, config +from ..formatting import query_table +from ..packaged_modules.sql.sql import Sql +from ..utils import tqdm as hf_tqdm +from .abc import AbstractDatasetInputStream + + +if TYPE_CHECKING: + import sqlite3 + + import sqlalchemy + + +class SqlDatasetReader(AbstractDatasetInputStream): + def __init__( + self, + sql: Union[str, "sqlalchemy.sql.Selectable"], + con: Union[str, "sqlalchemy.engine.Connection", "sqlalchemy.engine.Engine", "sqlite3.Connection"], + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + **kwargs, + ): + super().__init__(features=features, cache_dir=cache_dir, keep_in_memory=keep_in_memory, **kwargs) + self.builder = Sql( + cache_dir=cache_dir, + features=features, + sql=sql, + con=con, + **kwargs, + ) + + def read(self): + download_config = None + download_mode = None + verification_mode = None + base_path = None + + self.builder.download_and_prepare( + download_config=download_config, + download_mode=download_mode, + verification_mode=verification_mode, + base_path=base_path, + ) + + # Build dataset for splits + dataset = self.builder.as_dataset( + split="train", verification_mode=verification_mode, in_memory=self.keep_in_memory + ) + return dataset + + +class SqlDatasetWriter: + def __init__( + self, + dataset: Dataset, + name: str, + con: Union[str, "sqlalchemy.engine.Connection", "sqlalchemy.engine.Engine", "sqlite3.Connection"], + batch_size: Optional[int] = None, + num_proc: Optional[int] = None, + **to_sql_kwargs, + ): + if num_proc is not None and num_proc <= 0: + raise ValueError(f"num_proc {num_proc} must be an integer > 0.") + + self.dataset = dataset + self.name = name + self.con = con + self.batch_size = batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE + self.num_proc = num_proc + self.to_sql_kwargs = to_sql_kwargs + + def write(self) -> int: + _ = self.to_sql_kwargs.pop("sql", None) + _ = self.to_sql_kwargs.pop("con", None) + index = self.to_sql_kwargs.pop("index", False) + + written = self._write(index=index, **self.to_sql_kwargs) + return written + + def _batch_sql(self, args): + offset, index, to_sql_kwargs = args + to_sql_kwargs = {**to_sql_kwargs, "if_exists": "append"} if offset > 0 else to_sql_kwargs + batch = query_table( + table=self.dataset.data, + key=slice(offset, offset + self.batch_size), + indices=self.dataset._indices, + ) + df = batch.to_pandas() + num_rows = df.to_sql(self.name, self.con, index=index, **to_sql_kwargs) + return num_rows or len(df) + + def _write(self, index, **to_sql_kwargs) -> int: + """Writes the pyarrow table as SQL to a database. + + Caller is responsible for opening and closing the SQL connection. + """ + written = 0 + + if self.num_proc is None or self.num_proc == 1: + for offset in hf_tqdm( + range(0, len(self.dataset), self.batch_size), + unit="ba", + desc="Creating SQL from Arrow format", + ): + written += self._batch_sql((offset, index, to_sql_kwargs)) + else: + num_rows, batch_size = len(self.dataset), self.batch_size + with multiprocessing.Pool(self.num_proc) as pool: + for num_rows in hf_tqdm( + pool.imap( + self._batch_sql, + [(offset, index, to_sql_kwargs) for offset in range(0, num_rows, batch_size)], + ), + total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size, + unit="ba", + desc="Creating SQL from Arrow format", + ): + written += num_rows + + return written diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/text.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/text.py new file mode 100644 index 0000000000000000000000000000000000000000..58963f3c7ab1779d79226943e341200b782e1add --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/io/text.py @@ -0,0 +1,60 @@ +from typing import Optional + +from .. import Features, NamedSplit +from ..packaged_modules.text.text import Text +from ..utils.typing import NestedDataStructureLike, PathLike +from .abc import AbstractDatasetReader + + +class TextDatasetReader(AbstractDatasetReader): + def __init__( + self, + path_or_paths: NestedDataStructureLike[PathLike], + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + cache_dir: str = None, + keep_in_memory: bool = False, + streaming: bool = False, + num_proc: Optional[int] = None, + **kwargs, + ): + super().__init__( + path_or_paths, + split=split, + features=features, + cache_dir=cache_dir, + keep_in_memory=keep_in_memory, + streaming=streaming, + num_proc=num_proc, + **kwargs, + ) + path_or_paths = path_or_paths if isinstance(path_or_paths, dict) else {self.split: path_or_paths} + self.builder = Text( + cache_dir=cache_dir, + data_files=path_or_paths, + features=features, + **kwargs, + ) + + def read(self): + # Build iterable dataset + if self.streaming: + dataset = self.builder.as_streaming_dataset(split=self.split) + # Build regular (map-style) dataset + else: + download_config = None + download_mode = None + verification_mode = None + base_path = None + + self.builder.download_and_prepare( + download_config=download_config, + download_mode=download_mode, + verification_mode=verification_mode, + base_path=base_path, + num_proc=self.num_proc, + ) + dataset = self.builder.as_dataset( + split=self.split, verification_mode=verification_mode, in_memory=self.keep_in_memory + ) + return dataset diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/iterable_dataset.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/iterable_dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..80e4b6b729292c3b9bdf48d6d4242dbb1e79f52f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/iterable_dataset.py @@ -0,0 +1,3547 @@ +import asyncio +import copy +import inspect +import itertools +import multiprocessing.pool +import sys +from collections import Counter +from collections.abc import Iterable, Iterator +from copy import deepcopy +from dataclasses import dataclass +from functools import partial +from itertools import cycle, islice +from typing import TYPE_CHECKING, Any, Callable, Optional, Union + +import fsspec.asyn +import numpy as np +import pandas as pd +import pyarrow as pa + +from . import config +from .arrow_dataset import Dataset, DatasetInfoMixin +from .features import Features +from .features.features import ( + FeatureType, + Value, + _align_features, + _check_if_features_can_be_aligned, + _visit, + cast_to_python_objects, +) +from .formatting import ( + ArrowFormatter, + PythonFormatter, + TableFormatter, + TensorFormatter, + get_format_type_from_alias, + get_formatter, +) +from .info import DatasetInfo +from .splits import NamedSplit, Split +from .table import cast_table_to_features, read_schema_from_file, table_cast +from .utils.logging import get_logger +from .utils.py_utils import Literal +from .utils.sharding import _merge_gen_kwargs, _number_of_shards_in_gen_kwargs, _shuffle_gen_kwargs, _split_gen_kwargs + + +if TYPE_CHECKING: + import torch + +logger = get_logger(__name__) + +Key = Union[int, str] + + +def identity_func(x): + return x + + +def _rename_columns_fn(example: dict, column_mapping: dict[str, str]): + if any(col not in example for col in column_mapping): + raise ValueError( + f"Error when renaming {list(column_mapping)} to {list(column_mapping.values())}: columns {set(column_mapping) - set(example)} are not in the dataset." + ) + if any(col in example for col in column_mapping.values()): + raise ValueError( + f"Error when renaming {list(column_mapping)} to {list(column_mapping.values())}: columns {set(example) - set(column_mapping.values())} are already in the dataset." + ) + return { + new_column_name: example[original_column_name] + for original_column_name, new_column_name in column_mapping.items() + } + + +def add_column_fn(example: dict, idx: int, name: str, column: list[dict]): + if name in example: + raise ValueError(f"Error when adding {name}: column {name} is already in the dataset.") + return {name: column[idx]} + + +def _infer_features_from_batch(batch: dict[str, list], try_features: Optional[Features] = None) -> Features: + pa_table = pa.Table.from_pydict(batch) + if try_features is not None: + try: + pa_table = table_cast(pa_table, pa.schema(try_features.type)) + except (TypeError, pa.ArrowInvalid, pa.ArrowNotImplementedError): + pass + return Features.from_arrow_schema(pa_table.schema) + + +def _examples_to_batch(examples: list[dict[str, Any]]) -> dict[str, list]: + # we order the columns by order of appearance + # to do so, we use a dict as an ordered set + cols = {col: None for example in examples for col in example} + # when an example is missing a column, we set the value to None with .get() + arrays = [[example.get(col) for example in examples] for col in cols] + return dict(zip(cols, arrays)) + + +def _batch_to_examples(batch: dict[str, list]) -> Iterator[dict[str, Any]]: + """Convert a batch (dict of examples) to examples list""" + n_examples = 0 if len(batch) == 0 else len(batch[next(iter(batch))]) + for i in range(n_examples): + yield {col: array[i] for col, array in batch.items()} + + +def _convert_to_arrow( + iterable: Iterable[tuple[Key, dict]], + batch_size: int, + drop_last_batch: bool = False, +) -> Iterator[tuple[Key, pa.Table]]: + """Convert and group examples in Arrow tables of size `batch_size`. + + Args: + iterable (`Iterable[Tuple[Key, dict]]`): + An examples iterable containing tuples (example_key, example) of type (int/str, dict) + batch_size (`Optional[int]`): + Size of each sub-table to yield. If None or <= 0, yields the full table. + drop_last_batch (`bool`, defaults to `False`): + Drop the last batch if it is smaller than `batch_size`. + """ + if batch_size is None or batch_size <= 0: + yield ( + "all", + pa.Table.from_pylist(cast_to_python_objects([example for _, example in iterable], only_1d_for_numpy=True)), + ) + return + iterator = iter(iterable) + for key, example in iterator: + iterator_batch = islice(iterator, batch_size - 1) + key_examples_list = [(key, example)] + list(iterator_batch) + if len(key_examples_list) < batch_size and drop_last_batch: + return + keys, examples = zip(*key_examples_list) + new_key = "_".join(str(key) for key in keys) + yield new_key, pa.Table.from_pylist(cast_to_python_objects(examples, only_1d_for_numpy=True)) + + +class _BaseExamplesIterable: + """Base class for the examples iterable used by an IterableDataset""" + + def __init__(self) -> None: + self._state_dict: Optional[Union[list, dict]] = None + + def __iter__(self) -> Iterator[tuple[Key, dict]]: + """An examples iterable should yield tuples (example_key, example) of type (int/str, dict)""" + raise NotImplementedError(f"{type(self)} doesn't implement __iter__ yet") + + @property + def iter_arrow(self) -> Optional[Callable[[], Iterator[tuple[Key, pa.Table]]]]: + return None + + @property + def is_typed(self) -> bool: + return False + + @property + def features(self) -> Optional[Features]: + return None + + def shuffle_data_sources(self, generator: np.random.Generator) -> "_BaseExamplesIterable": + """ + Either shuffle the shards/sources of the dataset, or propagate the shuffling to the underlying iterable. + If the order of the shards must stay fixed (when using .skip or .take for example), then this method returns self. + """ + raise NotImplementedError(f"{type(self)} doesn't implement shuffle_data_sources yet") + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "_BaseExamplesIterable": + """Either keep only the requested shard, or propagate the request to the underlying iterable.""" + raise NotImplementedError(f"{type(self)} doesn't implement shard_data_sources yet") + + def split_shard_indices_by_worker(self, num_shards: int, index: int, contiguous=True) -> list[int]: + if contiguous: + div = self.num_shards // num_shards + mod = self.num_shards % num_shards + start = div * index + min(index, mod) + end = start + div + (1 if index < mod else 0) + return list(range(start, end)) + else: + return list(range(index, self.num_shards, num_shards)) + + @property + def num_shards(self) -> int: + raise NotImplementedError(f"{type(self)} doesn't implement num_shards yet") + + def _init_state_dict(self) -> dict: + raise NotImplementedError(f"{type(self)} doesn't implement _init_state_dict yet") + + def load_state_dict(self, state_dict: dict) -> dict: + def _inner_load_state_dict(state, new_state): + if new_state is not None and isinstance(state, dict): + for key in new_state: + state[key] = _inner_load_state_dict(state[key], new_state[key]) + return state + elif new_state is not None and isinstance(state, list): + for i in range(len(state)): + state[i] = _inner_load_state_dict(state[i], new_state[i]) + return state + return new_state + + return _inner_load_state_dict(self._state_dict, state_dict) + + def state_dict(self) -> dict: + if self._state_dict: + return copy.deepcopy(self._state_dict) + raise RuntimeError("State dict is not initialized, please call ex_iterable._init_state_dict() first.") + + +class ExamplesIterable(_BaseExamplesIterable): + def __init__(self, generate_examples_fn: Callable[..., tuple[Key, dict]], kwargs: dict): + super().__init__() + self.generate_examples_fn = generate_examples_fn + self.kwargs = kwargs + + def _init_state_dict(self) -> dict: + self._state_dict = {"shard_idx": 0, "shard_example_idx": 0, "type": self.__class__.__name__} + return self._state_dict + + def __iter__(self): + shard_idx_start = self._state_dict["shard_idx"] if self._state_dict else 0 + for gen_kwags in islice(_split_gen_kwargs(self.kwargs, max_num_jobs=self.num_shards), shard_idx_start, None): + shard_example_idx_start = self._state_dict["shard_example_idx"] if self._state_dict else 0 + for key_example in islice(self.generate_examples_fn(**gen_kwags), shard_example_idx_start, None): + if self._state_dict: + self._state_dict["shard_example_idx"] += 1 + yield key_example + if self._state_dict: + self._state_dict["shard_idx"] += 1 + self._state_dict["shard_example_idx"] = 0 + + def shuffle_data_sources(self, generator: np.random.Generator) -> "ExamplesIterable": + return ShuffledDataSourcesExamplesIterable(self.generate_examples_fn, self.kwargs, generator) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "ExamplesIterable": + """Keep only the requested shard.""" + gen_kwargs_list = _split_gen_kwargs(self.kwargs, max_num_jobs=self.num_shards) + shard_indices = self.split_shard_indices_by_worker(num_shards, index, contiguous=contiguous) + requested_gen_kwargs = _merge_gen_kwargs([gen_kwargs_list[i] for i in shard_indices]) + return ExamplesIterable(self.generate_examples_fn, requested_gen_kwargs) + + @property + def num_shards(self) -> int: + return _number_of_shards_in_gen_kwargs(self.kwargs) + + +class ShuffledDataSourcesExamplesIterable(ExamplesIterable): + def __init__( + self, generate_examples_fn: Callable[..., tuple[Key, dict]], kwargs: dict, generator: np.random.Generator + ): + super().__init__(generate_examples_fn, kwargs) + self.generator = deepcopy(generator) + + def _init_state_dict(self) -> dict: + self._state_dict = {"shard_idx": 0, "shard_example_idx": 0, "type": self.__class__.__name__} + return self._state_dict + + def __iter__(self): + """Shuffle the kwargs order to shuffle shards""" + rng = deepcopy(self.generator) + kwargs_with_shuffled_shards = _shuffle_gen_kwargs(rng, self.kwargs) + shard_idx_start = self._state_dict["shard_idx"] if self._state_dict else 0 + for gen_kwags in islice( + _split_gen_kwargs(kwargs_with_shuffled_shards, max_num_jobs=self.num_shards), shard_idx_start, None + ): + shard_example_idx_start = self._state_dict["shard_example_idx"] if self._state_dict else 0 + for key_example in islice(self.generate_examples_fn(**gen_kwags), shard_example_idx_start, None): + if self._state_dict: + self._state_dict["shard_example_idx"] += 1 + yield key_example + if self._state_dict: + self._state_dict["shard_idx"] += 1 + self._state_dict["shard_example_idx"] = 0 + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "ExamplesIterable": + """Keep only the requested shard.""" + rng = deepcopy(self.generator) + kwargs_with_shuffled_shards = _shuffle_gen_kwargs(rng, self.kwargs) + return ExamplesIterable(self.generate_examples_fn, kwargs_with_shuffled_shards).shard_data_sources( + num_shards, index, contiguous=contiguous + ) + + +class ArrowExamplesIterable(_BaseExamplesIterable): + def __init__(self, generate_tables_fn: Callable[..., tuple[Key, pa.Table]], kwargs: dict): + super().__init__() + self.generate_tables_fn = generate_tables_fn + self.kwargs = kwargs + + @property + def iter_arrow(self): + return self._iter_arrow + + def _init_state_dict(self) -> dict: + self._state_dict = {"shard_idx": 0, "shard_example_idx": 0, "type": self.__class__.__name__} + return self._state_dict + + def __iter__(self): + formatter = PythonFormatter() + shard_idx_start = self._state_dict["shard_idx"] if self._state_dict else 0 + for gen_kwags in islice(_split_gen_kwargs(self.kwargs, max_num_jobs=self.num_shards), shard_idx_start, None): + shard_example_idx_start = self._state_dict["shard_example_idx"] if self._state_dict else 0 + shard_example_idx = 0 + for key, pa_table in self.generate_tables_fn(**gen_kwags): + if shard_example_idx + len(pa_table) <= shard_example_idx_start: + shard_example_idx += len(pa_table) + continue + for pa_subtable in pa_table.to_reader(max_chunksize=config.ARROW_READER_BATCH_SIZE_IN_DATASET_ITER): + formatted_batch = formatter.format_batch(pa_subtable) + for example in _batch_to_examples(formatted_batch): + if shard_example_idx >= shard_example_idx_start: + if self._state_dict: + self._state_dict["shard_example_idx"] += 1 + yield key, example + shard_example_idx += 1 + if self._state_dict: + self._state_dict["shard_idx"] += 1 + self._state_dict["shard_example_idx"] = 0 + + def _iter_arrow(self): + shard_idx_start = self._state_dict["shard_idx"] if self._state_dict else 0 + for gen_kwags in islice(_split_gen_kwargs(self.kwargs, max_num_jobs=self.num_shards), shard_idx_start, None): + shard_example_idx_start = self._state_dict["shard_example_idx"] if self._state_dict else 0 + shard_example_idx = 0 + for key, pa_table in self.generate_tables_fn(**gen_kwags): + shard_example_idx += len(pa_table) + if shard_example_idx <= shard_example_idx_start: + continue + if self._state_dict: + self._state_dict["shard_example_idx"] += len(pa_table) + yield key, pa_table + if self._state_dict: + self._state_dict["shard_idx"] += 1 + self._state_dict["shard_example_idx"] = 0 + + def shuffle_data_sources(self, generator: np.random.Generator) -> "ArrowExamplesIterable": + return ShuffledDataSourcesArrowExamplesIterable(self.generate_tables_fn, self.kwargs, generator) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "ArrowExamplesIterable": + """Keep only the requested shard.""" + gen_kwargs_list = _split_gen_kwargs(self.kwargs, max_num_jobs=self.num_shards) + shard_indices = self.split_shard_indices_by_worker(num_shards, index, contiguous=contiguous) + requested_gen_kwargs = _merge_gen_kwargs([gen_kwargs_list[i] for i in shard_indices]) + return ArrowExamplesIterable(self.generate_tables_fn, requested_gen_kwargs) + + @property + def num_shards(self) -> int: + return _number_of_shards_in_gen_kwargs(self.kwargs) + + +class ShuffledDataSourcesArrowExamplesIterable(ArrowExamplesIterable): + def __init__( + self, + generate_tables_fn: Callable[..., tuple[Key, pa.Table]], + kwargs: dict, + generator: np.random.Generator, + ): + super().__init__(generate_tables_fn, kwargs) + self.generator = deepcopy(generator) + + def _init_state_dict(self) -> dict: + self._state_dict = {"shard_idx": 0, "shard_example_idx": 0, "type": self.__class__.__name__} + return self._state_dict + + def __iter__(self): + """Shuffle the kwargs order to shuffle shards""" + rng = deepcopy(self.generator) + kwargs_with_shuffled_shards = _shuffle_gen_kwargs(rng, self.kwargs) + formatter = PythonFormatter() + shard_idx_start = self._state_dict["shard_idx"] if self._state_dict else 0 + for gen_kwags in islice( + _split_gen_kwargs(kwargs_with_shuffled_shards, max_num_jobs=self.num_shards), shard_idx_start, None + ): + shard_example_idx_start = self._state_dict["shard_example_idx"] if self._state_dict else 0 + shard_example_idx = 0 + for key, pa_table in self.generate_tables_fn(**gen_kwags): + if shard_example_idx + len(pa_table) <= shard_example_idx_start: + shard_example_idx += len(pa_table) + continue + for pa_subtable in pa_table.to_reader(max_chunksize=config.ARROW_READER_BATCH_SIZE_IN_DATASET_ITER): + formatted_batch = formatter.format_batch(pa_subtable) + for example in _batch_to_examples(formatted_batch): + if shard_example_idx >= shard_example_idx_start: + if self._state_dict: + self._state_dict["shard_example_idx"] += 1 + yield key, example + shard_example_idx += 1 + if self._state_dict: + self._state_dict["shard_idx"] += 1 + self._state_dict["shard_example_idx"] = 0 + + def _iter_arrow(self): + rng = deepcopy(self.generator) + kwargs_with_shuffled_shards = _shuffle_gen_kwargs(rng, self.kwargs) + shard_idx_start = self._state_dict["shard_idx"] if self._state_dict else 0 + for gen_kwags in islice( + _split_gen_kwargs(kwargs_with_shuffled_shards, max_num_jobs=self.num_shards), shard_idx_start, None + ): + shard_example_idx_start = self._state_dict["shard_example_idx"] if self._state_dict else 0 + shard_example_idx = 0 + for key, pa_table in self.generate_tables_fn(**gen_kwags): + shard_example_idx += len(pa_table) + if shard_example_idx <= shard_example_idx_start: + continue + if self._state_dict: + self._state_dict["shard_example_idx"] += len(pa_table) + yield key, pa_table + if self._state_dict: + self._state_dict["shard_idx"] += 1 + self._state_dict["shard_example_idx"] = 0 + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "ArrowExamplesIterable": + """Keep only the requested shard.""" + rng = deepcopy(self.generator) + kwargs_with_shuffled_shards = _shuffle_gen_kwargs(rng, self.kwargs) + return ArrowExamplesIterable(self.generate_tables_fn, kwargs_with_shuffled_shards).shard_data_sources( + num_shards, index, contiguous=contiguous + ) + + +class RebatchedArrowExamplesIterable(_BaseExamplesIterable): + def __init__(self, ex_iterable: _BaseExamplesIterable, batch_size: Optional[int], drop_last_batch: bool = False): + super().__init__() + self.ex_iterable = ex_iterable + self.batch_size = batch_size + self.drop_last_batch = drop_last_batch + + @property + def iter_arrow(self): + return self._iter_arrow + + @property + def is_typed(self): + return self.ex_iterable.is_typed + + @property + def features(self): + return self.ex_iterable.features + + def _init_state_dict(self) -> dict: + self._state_dict = { + "examples_iterable": self.ex_iterable._init_state_dict(), + "previous_state": None, + "batch_idx": 0, + "num_chunks_since_previous_state": 0, + "cropped_chunk_length": 0, + "type": self.__class__.__name__, + } + return self._state_dict + + def __iter__(self): + yield from self.ex_iterable + + def _iter_arrow(self) -> Iterator[tuple[Key, pa.Table]]: + """Iterate over sub-tables of size `batch_size`.""" + if self._state_dict and self._state_dict["previous_state"]: + self.ex_iterable.load_state_dict(self._state_dict["previous_state"]) + if self.ex_iterable.iter_arrow: + iterator = self.ex_iterable.iter_arrow() + else: + iterator = _convert_to_arrow(self.ex_iterable, batch_size=1) + if self.batch_size is None or self.batch_size <= 0: + if self._state_dict and self._state_dict["batch_idx"] > 0: + return + all_pa_table = pa.concat_tables([pa_table for _, pa_table in iterator]) + if self._state_dict: + self._state_dict["batch_idx"] = 1 + yield "all", all_pa_table + return + keys_buffer = [] + chunks_buffer = [] + chunks_buffer_size = 0 + num_chunks_to_skip = self._state_dict["num_chunks_since_previous_state"] if self._state_dict else 0 + chunk_length_to_crop = self._state_dict["cropped_chunk_length"] if self._state_dict else 0 + if self._state_dict: + previous_state = self.ex_iterable.state_dict() + self._state_dict["previous_state"] = previous_state + for key, pa_table in iterator: + for num_chunks_since_previous_state, chunk in enumerate(pa_table.to_reader(max_chunksize=self.batch_size)): + if num_chunks_to_skip > 1: + num_chunks_to_skip -= 1 + continue + elif num_chunks_to_skip == 1 and chunk_length_to_crop == 0: + num_chunks_to_skip -= 1 + continue + elif num_chunks_to_skip == 1 and chunk_length_to_crop > 0: + chunk = chunk.slice(chunk_length_to_crop, len(chunk) - chunk_length_to_crop) + num_chunks_to_skip = 0 + chunk_length_to_crop = 0 + if len(chunk) == 0: + continue + + if chunks_buffer_size + len(chunk) < self.batch_size: + keys_buffer.append(key) + chunks_buffer.append(chunk) + chunks_buffer_size += len(chunk) + continue + elif chunks_buffer_size + len(chunk) == self.batch_size: + keys_buffer.append(key) + chunks_buffer.append(chunk) + new_key = "_".join(str(_key) for _key in keys_buffer) + if self._state_dict: + self._state_dict["batch_idx"] += 1 + self._state_dict["num_chunks_since_previous_state"] += len(chunks_buffer) + self._state_dict["cropped_chunk_length"] = 0 + yield new_key, pa.Table.from_batches(chunks_buffer) + keys_buffer = [] + chunks_buffer = [] + chunks_buffer_size = 0 + if self._state_dict: + self._state_dict["previous_state"] = previous_state + self._state_dict["num_chunks_since_previous_state"] = num_chunks_since_previous_state + 1 + else: + cropped_chunk_length = self.batch_size - chunks_buffer_size + keys_buffer.append(f"{key}[:{cropped_chunk_length}]") + chunks_buffer.append(chunk.slice(0, cropped_chunk_length)) + new_key = "_".join(str(_key) for _key in keys_buffer) + if self._state_dict: + self._state_dict["batch_idx"] += 1 + self._state_dict["num_chunks_since_previous_state"] += len(chunks_buffer) + self._state_dict["cropped_chunk_length"] = cropped_chunk_length + yield new_key, pa.Table.from_batches(chunks_buffer) + keys_buffer = [f"{key}[{cropped_chunk_length}:]"] + chunks_buffer = [chunk.slice(cropped_chunk_length, len(chunk) - cropped_chunk_length)] + chunks_buffer_size = len(chunk) - cropped_chunk_length + if self._state_dict: + self._state_dict["previous_state"] = previous_state + self._state_dict["num_chunks_since_previous_state"] = num_chunks_since_previous_state + if self._state_dict: + previous_state = self.ex_iterable.state_dict() + if not self.drop_last_batch and chunks_buffer: + new_key = "_".join(str(_key) for _key in keys_buffer) + if self._state_dict: + self._state_dict["previous_state"] = previous_state + self._state_dict["batch_idx"] += 1 + self._state_dict["num_chunks_since_previous_state"] = 0 + self._state_dict["cropped_chunk_length"] = 0 + yield new_key, pa.Table.from_batches(chunks_buffer) + + def shuffle_data_sources(self, generator: np.random.Generator) -> "RebatchedArrowExamplesIterable": + return RebatchedArrowExamplesIterable( + self.ex_iterable.shuffle_data_sources(generator), self.batch_size, self.drop_last_batch + ) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "RebatchedArrowExamplesIterable": + return RebatchedArrowExamplesIterable( + self.ex_iterable.shard_data_sources(num_shards, index, contiguous=contiguous), + self.batch_size, + self.drop_last_batch, + ) + + @property + def num_shards(self) -> int: + return self.ex_iterable.num_shards + + +class SelectColumnsIterable(_BaseExamplesIterable): + def __init__(self, ex_iterable: _BaseExamplesIterable, column_names: list[str]): + super().__init__() + self.ex_iterable = ex_iterable + self.column_names = column_names + + @property + def iter_arrow(self): + if self.ex_iterable.iter_arrow: + return self._iter_arrow + + @property + def is_typed(self): + return self.ex_iterable.is_typed + + @property + def features(self): + return self.ex_iterable.features + + def _init_state_dict(self) -> dict: + self._state_dict = self.ex_iterable._init_state_dict() + return self._state_dict + + def __iter__(self): + for idx, row in self.ex_iterable: + yield idx, {c: row[c] for c in self.column_names} + + def _iter_arrow(self) -> Iterator[tuple[Key, pa.Table]]: + for idx, pa_table in self.ex_iterable.iter_arrow(): + if len(pa_table) > 0: # empty tables have no schema + yield idx, pa_table.select(self.column_names) + + def shuffle_data_sources(self, generator: np.random.Generator) -> "SelectColumnsIterable": + return SelectColumnsIterable(self.ex_iterable.shuffle_data_sources(generator), self.column_names) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "SelectColumnsIterable": + return SelectColumnsIterable( + self.ex_iterable.shard_data_sources(num_shards, index, contiguous=contiguous), self.column_names + ) + + @property + def num_shards(self) -> int: + return self.ex_iterable.num_shards + + +class StepExamplesIterable(_BaseExamplesIterable): + def __init__(self, ex_iterable: _BaseExamplesIterable, step: int, offset: int): + super().__init__() + self.ex_iterable = ex_iterable + self.step = step + self.offset = offset + # TODO(QL): implement iter_arrow + + @property + def is_typed(self): + return self.ex_iterable.is_typed + + @property + def features(self): + return self.ex_iterable.features + + def _init_state_dict(self) -> dict: + self._state_dict = self.ex_iterable._init_state_dict() + return self._state_dict + + def __iter__(self): + ex_iterator = iter(self.ex_iterable) + while True: + batch = list(islice(ex_iterator, self.step)) + if len(batch) > self.offset: + yield batch[self.offset] + else: + break + + def shuffle_data_sources(self, generator: np.random.Generator) -> "StepExamplesIterable": + return StepExamplesIterable( + self.ex_iterable.shuffle_data_sources(generator), step=self.step, offset=self.offset + ) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "StepExamplesIterable": + return StepExamplesIterable( + self.ex_iterable.shard_data_sources(num_shards, index, contiguous=contiguous), + step=self.step, + offset=self.offset, + ) + + @property + def num_shards(self) -> int: + return self.ex_iterable.num_shards + + +class CyclingMultiSourcesExamplesIterable(_BaseExamplesIterable): + def __init__( + self, + ex_iterables: list[_BaseExamplesIterable], + stopping_strategy: Literal["first_exhausted", "all_exhausted"] = "first_exhausted", + ): + super().__init__() + self.ex_iterables = ex_iterables + self.stopping_strategy = stopping_strategy + + # if undersampling ("first_exhausted"), we stop as soon as one dataset is exhausted + # if oversampling ("all_exhausted"), we stop as soons as every dataset is exhausted, i.e as soon as every samples of every dataset has been visited at least once + self.bool_strategy_func = np.all if (stopping_strategy == "all_exhausted") else np.any + # TODO(QL): implement iter_arrow + + @property + def is_typed(self): + return self.ex_iterables[0].is_typed + + @property + def features(self): + return self.ex_iterables[0].features + + def _get_indices_iterator(self): + # this is an infinite iterator to keep track of which iterator we want to pick examples from + ex_iterable_idx = self._state_dict["ex_iterable_idx"] if self._state_dict else 0 + for next_ex_iterable_idx in islice(cycle(range(len(self.ex_iterables))), ex_iterable_idx + 1, None): + if self._state_dict: + self._state_dict["ex_iterable_idx"] = next_ex_iterable_idx + yield ex_iterable_idx + ex_iterable_idx = next_ex_iterable_idx + + def _init_state_dict(self) -> dict: + self._state_dict = { + "ex_iterable_idx": 0, + "ex_iterables": [ex_iterable._init_state_dict() for ex_iterable in self.ex_iterables], + "previous_states": [None] * len(self.ex_iterables), + "is_exhausted": [False] * len(self.ex_iterables), + "type": self.__class__.__name__, + } + return self._state_dict + + def __iter__(self): + # we use this to buffer one example of each iterator to know if an iterator is exhausted + nexts = [None] * len(self.ex_iterables) + # because of that, we need to rewind 1 example when reloading the state dict + if self._state_dict: + for i in range(len(self.ex_iterables)): + if self._state_dict["previous_states"][i] is not None: + self.ex_iterables[i].load_state_dict(self._state_dict["previous_states"][i]) + iterators = [iter(ex_iterable) for ex_iterable in self.ex_iterables] + + indices_iterator = self._get_indices_iterator() + + is_exhausted = ( + np.array(self._state_dict["is_exhausted"]) if self._state_dict else np.full(len(self.ex_iterables), False) + ) + for i in indices_iterator: + # if the stopping criteria is met, break the main for loop + if self.bool_strategy_func(is_exhausted): + break + # let's pick one example from the iterator at index i + if nexts[i] is None: + nexts[i] = next(iterators[i], False) + result = nexts[i] + if self._state_dict: + self._state_dict["previous_states"][i] = deepcopy(self._state_dict["ex_iterables"][i]) + nexts[i] = next(iterators[i], False) + + # the iterator is exhausted + if nexts[i] is False: + is_exhausted[i] = True + if self._state_dict: + self._state_dict["is_exhausted"][i] = True + # we reset it in case the stopping crtieria isn't met yet + nexts[i] = None + if self._state_dict: + self._state_dict["ex_iterables"][i] = self.ex_iterables[i]._init_state_dict() + self._state_dict["previous_states"][i] = None + iterators[i] = iter(self.ex_iterables[i]) + + if result is not False: + yield result + + def shuffle_data_sources(self, generator: np.random.Generator) -> "CyclingMultiSourcesExamplesIterable": + """Shuffle each underlying examples iterable.""" + ex_iterables = [ex_iterable.shuffle_data_sources(generator) for ex_iterable in self.ex_iterables] + return CyclingMultiSourcesExamplesIterable(ex_iterables, self.stopping_strategy) + + @property + def num_shards(self) -> int: + return min(ex_iterable.num_shards for ex_iterable in self.ex_iterables) + + def shard_data_sources( + self, num_shards: int, index: int, contiguous=True + ) -> "CyclingMultiSourcesExamplesIterable": + """Either keep only the requested shard, or propagate the request to the underlying iterable.""" + return CyclingMultiSourcesExamplesIterable( + [iterable.shard_data_sources(num_shards, index, contiguous=contiguous) for iterable in self.ex_iterables], + stopping_strategy=self.stopping_strategy, + ) + + +class VerticallyConcatenatedMultiSourcesExamplesIterable(_BaseExamplesIterable): + """ + VerticallyConcatenatedMultiSourcesExamplesIterable simply chains the input iterables. + It doesn't require the examples iterables to always yield the same columns. + Instead, this is handled by the `IterableDataset` class or `FormattedExamplesIterable`. + + For information, `IterableDataset` merges the features of all the datasets to concatenate into one. + We use `IterableDataset._resolve_features` to obtain the features of all the datasets to concatenate. + + Then for each example, `IterableDataset` and `FormattedExamplesIterable` automatically fill missing columns with None. + This is done with `_apply_feature_types_on_example`. + """ + + def __init__(self, ex_iterables: list[_BaseExamplesIterable]): + super().__init__() + self.ex_iterables = ex_iterables + + @property + def is_typed(self): + return self.ex_iterables[0].is_typed + + @property + def features(self): + return self.ex_iterables[0].features + + @property + def iter_arrow(self): + if all(ex_iterable.iter_arrow is not None for ex_iterable in self.ex_iterables): + return self._iter_arrow + + def _init_state_dict(self) -> dict: + self._state_dict = { + "ex_iterable_idx": 0, + "ex_iterables": [ex_iterable._init_state_dict() for ex_iterable in self.ex_iterables], + "type": self.__class__.__name__, + } + return self._state_dict + + def __iter__(self): + ex_iterable_idx_start = self._state_dict["ex_iterable_idx"] if self._state_dict else 0 + for ex_iterable in islice(self.ex_iterables, ex_iterable_idx_start, None): + yield from ex_iterable + if self._state_dict: + self._state_dict["ex_iterable_idx"] += 1 + + def _iter_arrow(self): + ex_iterable_idx_start = self._state_dict["ex_iterable_idx"] if self._state_dict else 0 + for ex_iterable in islice(self.ex_iterables, ex_iterable_idx_start, None): + yield from ex_iterable.iter_arrow() + if self._state_dict: + self._state_dict["ex_iterable_idx"] += 1 + + def shuffle_data_sources( + self, generator: np.random.Generator + ) -> "VerticallyConcatenatedMultiSourcesExamplesIterable": + """Shuffle the list of examples iterable, as well as each underlying examples iterable.""" + rng = deepcopy(generator) + ex_iterables = list(self.ex_iterables) + rng.shuffle(ex_iterables) + ex_iterables = [ex_iterable.shuffle_data_sources(generator) for ex_iterable in ex_iterables] + return VerticallyConcatenatedMultiSourcesExamplesIterable(ex_iterables) + + @property + def num_shards(self) -> int: + return min(ex_iterable.num_shards for ex_iterable in self.ex_iterables) + + def shard_data_sources( + self, num_shards: int, index: int, contiguous=True + ) -> "VerticallyConcatenatedMultiSourcesExamplesIterable": + """Either keep only the requested shard, or propagate the request to the underlying iterable.""" + return VerticallyConcatenatedMultiSourcesExamplesIterable( + [iterable.shard_data_sources(num_shards, index, contiguous=contiguous) for iterable in self.ex_iterables] + ) + + +def _check_column_names(column_names: list[str]): + """Check the column names to make sure they don't contain duplicates.""" + counter = Counter(column_names) + if not all(count == 1 for count in counter.values()): + duplicated_columns = [col for col in counter if counter[col] > 1] + raise ValueError( + f"The examples iterables can't have duplicated columns but columns {duplicated_columns} are duplicated." + ) + + +class HorizontallyConcatenatedMultiSourcesExamplesIterable(_BaseExamplesIterable): + """ + HorizontallyConcatenatedMultiSourcesExamplesIterable merges examples together for the input list of iterables. + It also checks that there are no duplicate columns (otherwise we don't know which one to keep). + This check is done once when yielding the first example. + + However it doesn't fill missing columns with None. + Instead, this is handled by the `IterableDataset` class or `FormattedExamplesIterable`. + + For information, `IterableDataset` merges the features of all the datasets to concatenate into one. + We use `IterableDataset._resolve_features` to obtain the features of all the datasets to concatenate. + + Then for each example, `IterableDataset` and `FormattedExamplesIterable` automatically fill missing columns with None. + This is done with `_apply_feature_types_on_example`. + """ + + def __init__(self, ex_iterables: list[_BaseExamplesIterable]): + super().__init__() + self.ex_iterables = ex_iterables + # TODO(QL): implement iter_arrow + + @property + def is_typed(self): + return self.ex_iterables[0].is_typed + + @property + def features(self): + return self.ex_iterables[0].features + + def _init_state_dict(self) -> dict: + self._state_dict = { + "ex_iterables": [ex_iterable._init_state_dict() for ex_iterable in self.ex_iterables], + "type": self.__class__.__name__, + } + return self._state_dict + + def __iter__(self): + ex_iterators = [iter(ex_iterable) for ex_iterable in self.ex_iterables] + for i in itertools.count(): + keys = [] + examples = [] + for ex_iterator in list(ex_iterators): + try: + key, example = next(ex_iterator) + keys.append(key) + examples.append(example) + except StopIteration: + ex_iterators.remove(ex_iterator) + if ex_iterators: + if i == 0: + _check_column_names([column_name for example in examples for column_name in example]) + new_example = {} + for example in examples: + new_example.update(example) + new_key = "_".join(str(key) for key in keys) + yield new_key, new_example + else: + break + + def shuffle_data_sources( + self, generator: np.random.Generator + ) -> "HorizontallyConcatenatedMultiSourcesExamplesIterable": + """Doesn't shuffle the wrapped examples iterable since it would break the alignment between them.""" + return self + + @property + def num_shards(self) -> int: + return 1 + + def shard_data_sources( + self, num_shards: int, index: int, contiguous=True + ) -> "HorizontallyConcatenatedMultiSourcesExamplesIterable": + """Either keep only the requested shard, or propagate the request to the underlying iterable.""" + return HorizontallyConcatenatedMultiSourcesExamplesIterable( + [iterable.shard_data_sources(num_shards, index, contiguous=contiguous) for iterable in self.ex_iterables] + ) + + +class RandomlyCyclingMultiSourcesExamplesIterable(CyclingMultiSourcesExamplesIterable): + def __init__( + self, + ex_iterables: list[_BaseExamplesIterable], + generator: np.random.Generator, + probabilities: Optional[list[float]] = None, + stopping_strategy: Literal["first_exhausted", "all_exhausted"] = "first_exhausted", + ): + super().__init__(ex_iterables, stopping_strategy) + self.generator = deepcopy(generator) + self.probabilities = probabilities + # TODO(QL): implement iter_arrow + + @property + def is_typed(self): + return self.ex_iterables[0].is_typed + + @property + def features(self): + return self.ex_iterables[0].features + + def _get_indices_iterator(self): + rng = deepcopy(self.generator) + num_sources = len(self.ex_iterables) + random_batch_size = 1000 + # this is an infinite iterator that randomly samples the index of the source to pick examples from + index_offset = self._state_dict["bit_generator_index_offset"] if self._state_dict else 0 + if self._state_dict: + rng.bit_generator.state = self._state_dict["bit_generator_state"] + if self.probabilities is None: + while True: + for i in islice(rng.integers(0, num_sources, size=random_batch_size), index_offset, None): + index_offset = (index_offset + 1) % random_batch_size + if self._state_dict: + self._state_dict["bit_generator_index_offset"] = index_offset + if index_offset == 0: + self._state_dict["bit_generator_state"] = rng.bit_generator.state + yield int(i) + else: + while True: + for i in islice( + rng.choice(num_sources, size=random_batch_size, p=self.probabilities), index_offset, None + ): + index_offset = (index_offset + 1) % random_batch_size + if self._state_dict: + self._state_dict["bit_generator_index_offset"] = index_offset + if index_offset == 0: + self._state_dict["bit_generator_state"] = rng.bit_generator.state + yield int(i) + + def _init_state_dict(self) -> dict: + self._state_dict = { + "bit_generator_state": self.generator.bit_generator.state, + "bit_generator_index_offset": 0, + "ex_iterables": [ex_iterable._init_state_dict() for ex_iterable in self.ex_iterables], + "previous_states": [None] * len(self.ex_iterables), + "is_exhausted": [False] * len(self.ex_iterables), + "type": self.__class__.__name__, + } + return self._state_dict + + def shuffle_data_sources(self, generator: np.random.Generator) -> "RandomlyCyclingMultiSourcesExamplesIterable": + """Shuffle the data sources of each wrapped examples iterable.""" + ex_iterables = [ex_iterable.shuffle_data_sources(generator) for ex_iterable in self.ex_iterables] + return RandomlyCyclingMultiSourcesExamplesIterable( + ex_iterables, + generator=generator, + probabilities=self.probabilities, + stopping_strategy=self.stopping_strategy, + ) + + def shard_data_sources( + self, num_shards: int, index: int, contiguous=True + ) -> "RandomlyCyclingMultiSourcesExamplesIterable": + """Either keep only the requested shard, or propagate the request to the underlying iterable.""" + return RandomlyCyclingMultiSourcesExamplesIterable( + [iterable.shard_data_sources(num_shards, index, contiguous=contiguous) for iterable in self.ex_iterables], + self.generator, + self.probabilities, + self.stopping_strategy, + ) + + +def _table_output_to_arrow(output) -> pa.Table: + if isinstance(output, pa.Table): + return output + if isinstance(output, (pd.DataFrame, pd.Series)): + return pa.Table.from_pandas(output) + if config.POLARS_AVAILABLE and "polars" in sys.modules: + import polars as pl + + if isinstance(output, (pl.DataFrame, pl.Series)): + return output.to_arrow() + return output + + +class MappedExamplesIterable(_BaseExamplesIterable): + def __init__( + self, + ex_iterable: _BaseExamplesIterable, + function: Callable, + with_indices: bool = False, + input_columns: Optional[list[str]] = None, + batched: bool = False, + batch_size: Optional[int] = 1000, + drop_last_batch: bool = False, + remove_columns: Optional[list[str]] = None, + fn_kwargs: Optional[dict] = None, + formatting: Optional["FormattingConfig"] = None, + features: Optional[Features] = None, + max_num_running_async_map_functions_in_parallel: Optional[int] = None, + ): + super().__init__() + self.ex_iterable = ex_iterable + self.function = function + self.batched = batched + self.batch_size = batch_size + self.drop_last_batch = drop_last_batch + self.remove_columns = remove_columns + self.with_indices = with_indices + self.input_columns = input_columns + self.fn_kwargs = fn_kwargs or {} + self.formatting = formatting # required for iter_arrow + self._features = features + self.max_num_running_async_map_functions_in_parallel = ( + max_num_running_async_map_functions_in_parallel or config.MAX_NUM_RUNNING_ASYNC_MAP_FUNCTIONS_IN_PARALLEL + ) + # sanity checks + if formatting and formatting.is_table: + # batch_size should match for iter_arrow + if not isinstance(ex_iterable, RebatchedArrowExamplesIterable): + raise ValueError( + f"The {formatting.format_type.capitalize()}-formatted {type(self).__name__} has underlying iterable" + f"that is a {type(ex_iterable).__name__} instead of a RebatchedArrowExamplesIterable." + ) + elif ex_iterable.batch_size != (batch_size if batched else 1): + raise ValueError( + f"The {formatting.format_type.capitalize()}-formatted {type(self).__name__} has batch_size={batch_size if batched else 1} which is" + f"different from {ex_iterable.batch_size=} from its underlying iterable." + ) + # to enable graceful ends + self._owned_loops_and_tasks: list[tuple[asyncio.AbstractEventLoop, list[asyncio.Task]]] = [] + + @property + def iter_arrow(self): + if self.formatting and self.formatting.is_table: + return self._iter_arrow + + @property + def is_typed(self): + return self.features is not None # user has extracted features + + @property + def features(self): + return self._features + + def _init_state_dict(self) -> dict: + self._state_dict = { + "examples_iterable": self.ex_iterable._init_state_dict(), + "previous_state": None, + "num_examples_since_previous_state": 0, + "previous_state_example_idx": 0, + "type": self.__class__.__name__, + } + return self._state_dict + + def __iter__(self): + if self.formatting and self.formatting.is_table: + formatter = PythonFormatter() + for key, pa_table in self._iter_arrow(max_chunksize=1): + yield key, formatter.format_row(pa_table) + else: + yield from self._iter() + + def _iter(self): + current_idx = self._state_dict["previous_state_example_idx"] if self._state_dict else 0 + if self._state_dict and self._state_dict["previous_state"]: + self.ex_iterable.load_state_dict(self._state_dict["previous_state"]) + num_examples_to_skip = self._state_dict["num_examples_since_previous_state"] + else: + num_examples_to_skip = 0 + iterator = iter(self.ex_iterable) + + # We use the same logic as in Dataset.map, but with less features/formatting + # since they're handled by FormattedExamplesIterable + + if self.formatting: + formatter = get_formatter(self.formatting.format_type) + format_dict = formatter.recursive_tensorize if isinstance(formatter, TensorFormatter) else None + else: + format_dict = None + + def iter_batched_inputs(): + nonlocal current_idx + for key, example in iterator: + # If `batched`, first build the batch, if `batch_size` is None or <=0, then the batch is the whole dataset + iterator_batch = ( + iterator + if self.batch_size is None or self.batch_size <= 0 + else islice(iterator, self.batch_size - 1) + ) + key_examples_list = [(key, example)] + list(iterator_batch) + keys, examples = zip(*key_examples_list) + # the new key is the concatenation of the examples keys from the batch + key = "_".join(str(key) for key in keys) + if ( + self.drop_last_batch + and self.batch_size is not None + and self.batch_size > 0 + and len(examples) < self.batch_size + ): # ignore last batch + return + batch = _examples_to_batch(examples) + # we need to format here in case we need to stack tensors together + batch = format_dict(batch) if format_dict else batch + indices = [current_idx + i for i in range(len(key_examples_list))] + current_idx += len(indices) + yield indices, (key, batch) + + def iter_inputs(): + nonlocal current_idx + for key, example in iterator: + # If not batched, we can apply the transform and yield the example directly + # first copy the example, since we might drop some keys + example = dict(example) + # no need to do formatting here + current_idx += 1 + yield current_idx - 1, (key, example) + + def validate_function_output(processed_inputs): + if self.batched and processed_inputs: + first_col = next(iter(processed_inputs)) + bad_cols = [ + col for col in processed_inputs if len(processed_inputs[col]) != len(processed_inputs[first_col]) + ] + if bad_cols: + raise ValueError( + f"Column lengths mismatch: columns {bad_cols} have length {[len(processed_inputs[col]) for col in bad_cols]} " + f"while {first_col} has length {len(processed_inputs[first_col])}." + ) + + def prepare_inputs(key_example, indices): + key, example = key_example + fn_args = [example] if self.input_columns is None else [example[col] for col in self.input_columns] + additional_args = () + if self.with_indices: + fn_args += (indices,) + inputs = dict(example) + return inputs, fn_args, additional_args, self.fn_kwargs + + def prepare_outputs(key_example, inputs, processed_inputs): + validate_function_output(processed_inputs) + # this logic mimics the one in Dataset.map + if self.remove_columns: + for c in self.remove_columns: + if c in inputs: + del inputs[c] + if processed_inputs is key_example[1] and c in processed_inputs: + del processed_inputs[c] + transformed_inputs = {**inputs, **processed_inputs} + # no need to do features decoding here + return transformed_inputs + + def apply_function(key_example, indices): + """Utility to apply the function on a selection of columns.""" + inputs, fn_args, additional_args, fn_kwargs = prepare_inputs(key_example, indices) + processed_inputs = self.function(*fn_args, *additional_args, **fn_kwargs) + return prepare_outputs(key_example, inputs, processed_inputs) + + async def async_apply_function(key_example, indices): + """Utility to apply the function on a selection of columns. Same code but async""" + inputs, fn_args, additional_args, fn_kwargs = prepare_inputs(key_example, indices) + processed_inputs = await self.function(*fn_args, *additional_args, **fn_kwargs) + return prepare_outputs(key_example, inputs, processed_inputs) + + tasks: list[asyncio.Task] = [] + if inspect.iscoroutinefunction(self.function): + try: + loop = asyncio.get_running_loop() + except RuntimeError: + loop = asyncio.new_event_loop() + self._owned_loops_and_tasks.append((loop, tasks)) + else: + loop = None + + def iter_outputs(): + nonlocal tasks, loop + inputs_iterator = iter_batched_inputs() if self.batched else iter_inputs() + if inspect.iscoroutinefunction(self.function): + if self._state_dict: + previous_state = self.ex_iterable.state_dict() + self._state_dict["previous_state"] = previous_state + previous_state_task = None + previous_state_example_idx = self._state_dict["previous_state_example_idx"] + indices: Union[list[int], list[list[int]]] = [] + for i, key_example in inputs_iterator: + indices.append(i) + tasks.append(loop.create_task(async_apply_function(key_example, i))) + # keep the total active tasks under a certain number + if len(tasks) >= self.max_num_running_async_map_functions_in_parallel: + done, pending = loop.run_until_complete( + asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED) + ) + while tasks and len(pending) >= self.max_num_running_async_map_functions_in_parallel: + done, pending = loop.run_until_complete( + asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED) + ) + if len(tasks) >= 10 * self.max_num_running_async_map_functions_in_parallel: + loop.run_until_complete(tasks[0]) + # yield finished tasks + while tasks and tasks[0].done(): + i, task = indices.pop(0), tasks.pop(0) + yield i, task.result() + if self._state_dict and task is previous_state_task: + self._state_dict["previous_state"] = previous_state + self._state_dict["num_examples_since_previous_state"] = 0 + self._state_dict["previous_state_example_idx"] = previous_state_example_idx + previous_state, previous_state_task = None, None + # checkpoint + if self._state_dict and previous_state_task is None and tasks: + previous_state = self.ex_iterable.state_dict() + previous_state_task = tasks[-1] + previous_state_example_idx = current_idx + while tasks: + yield indices[0], loop.run_until_complete(tasks[0]) + indices.pop(0), tasks.pop(0) + else: + if self._state_dict: + if self.batched: + self._state_dict["previous_state"] = self.ex_iterable.state_dict() + self._state_dict["num_examples_since_previous_state"] = 0 + self._state_dict["previous_state_example_idx"] = current_idx + for i, key_example in inputs_iterator: + if self._state_dict: + if not self.batched: + self._state_dict["previous_state_example_idx"] = current_idx + yield i, apply_function(key_example, i) + if self._state_dict: + if self.batched: + self._state_dict["previous_state"] = self.ex_iterable.state_dict() + self._state_dict["num_examples_since_previous_state"] = 0 + self._state_dict["previous_state_example_idx"] = current_idx + + try: + outputs = iter_outputs() + if self.batched: + outputs = ( + (key, transformed_example) + for key, transformed_batch in outputs + for transformed_example in _batch_to_examples(transformed_batch) + ) + for key, transformed_example in outputs: + if self._state_dict and self._state_dict["previous_state"] is not None: + self._state_dict["num_examples_since_previous_state"] += 1 + if num_examples_to_skip > 0: + num_examples_to_skip -= 1 + continue + yield key, transformed_example + except (Exception, KeyboardInterrupt): + if loop: + logger.debug(f"Canceling {len(tasks)} async tasks.") + for task in tasks: + task.cancel(msg="KeyboardInterrupt") + try: + loop.run_until_complete(asyncio.gather(*tasks)) + except (asyncio.CancelledError, ValueError): + logger.debug("Tasks canceled.") + raise + + def _iter_arrow(self, max_chunksize: Optional[int] = None) -> Iterator[tuple[Key, pa.Table]]: + formatter: TableFormatter = get_formatter(self.formatting.format_type) if self.formatting else ArrowFormatter() + if self.ex_iterable.iter_arrow: + iterator = self.ex_iterable.iter_arrow() + else: + iterator = _convert_to_arrow( + self.ex_iterable, + batch_size=self.batch_size if self.batched else 1, + drop_last_batch=self.drop_last_batch, + ) + if self._state_dict and self._state_dict["previous_state"]: + self.ex_iterable.load_state_dict(self._state_dict["previous_state"]) + num_examples_to_skip = self._state_dict["num_examples_since_previous_state"] + else: + num_examples_to_skip = 0 + if self._state_dict and max_chunksize is not None: + self._state_dict["previous_state"] = self.ex_iterable.state_dict() + self._state_dict["num_examples_since_previous_state"] = 0 + current_idx = self._state_dict["previous_state_example_idx"] if self._state_dict else 0 + for key, pa_table in iterator: + if ( + self.batched + and self.batch_size is not None + and len(pa_table) < self.batch_size + and self.drop_last_batch + ): + return + # first build the batch + function_args = ( + [formatter.format_batch(pa_table)] + if self.input_columns is None + else [pa_table[col] for col in self.input_columns] + ) + if self.with_indices: + if self.batched: + function_args.append([current_idx + i for i in range(len(pa_table))]) + else: + function_args.append(current_idx) + # then apply the transform + output = self.function(*function_args, **self.fn_kwargs) + output_table = _table_output_to_arrow(output) + if not isinstance(output_table, pa.Table): + raise TypeError( + f"Provided `function` which is applied to {formatter.table_type} returns a variable of type " + f"{type(output)}. Make sure provided `function` returns a {formatter.table_type} to update the dataset." + ) + # we don't need to merge results for consistency with Dataset.map which merges iif both input and output are dicts + # then remove the unwanted columns + if self.remove_columns: + for column in self.remove_columns: + if column in output_table.column_names: + output_table = output_table.remove_column(output_table.column_names.index(column)) + # return output + if max_chunksize is None: + current_idx += len(pa_table) + if self._state_dict: + self._state_dict["previous_state_example_idx"] += len(pa_table) + yield key, output_table + else: + for i, pa_subtable in enumerate(output_table.to_reader(max_chunksize=max_chunksize)): + current_idx += 1 + if self._state_dict: + self._state_dict["num_examples_since_previous_state"] += 1 + if num_examples_to_skip > 0: + num_examples_to_skip -= 1 + continue + yield f"{key}_{i}", pa_subtable + if self._state_dict: + self._state_dict["previous_state"] = self.ex_iterable.state_dict() + self._state_dict["num_examples_since_previous_state"] = 0 + self._state_dict["previous_state_example_idx"] += len(pa_table) + + def shuffle_data_sources(self, generator: np.random.Generator) -> "MappedExamplesIterable": + """Shuffle the wrapped examples iterable.""" + return MappedExamplesIterable( + self.ex_iterable.shuffle_data_sources(generator), + function=self.function, + with_indices=self.with_indices, + input_columns=self.input_columns, + batched=self.batched, + batch_size=self.batch_size, + drop_last_batch=self.drop_last_batch, + remove_columns=self.remove_columns, + fn_kwargs=self.fn_kwargs, + formatting=self.formatting, + features=self.features, + max_num_running_async_map_functions_in_parallel=self.max_num_running_async_map_functions_in_parallel, + ) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "MappedExamplesIterable": + """Keep only the requested shard.""" + return MappedExamplesIterable( + self.ex_iterable.shard_data_sources(num_shards, index, contiguous=contiguous), + function=self.function, + with_indices=self.with_indices, + input_columns=self.input_columns, + batched=self.batched, + batch_size=self.batch_size, + drop_last_batch=self.drop_last_batch, + remove_columns=self.remove_columns, + fn_kwargs=self.fn_kwargs, + formatting=self.formatting, + features=self.features, + max_num_running_async_map_functions_in_parallel=self.max_num_running_async_map_functions_in_parallel, + ) + + @property + def num_shards(self) -> int: + return self.ex_iterable.num_shards + + +def _add_mask( + input: Union[dict, pa.Table], + mask: Union[bool, list, pa.Array, pa.ChunkedArray, pa.BooleanScalar], + mask_column_name: str, +): + if isinstance(input, pa.Table): + if not isinstance(mask, (list, pa.Array, pa.ChunkedArray)): + mask = pa.array([mask], type=pa.bool_()) + return input.append_column(mask_column_name, mask) + else: + return {mask_column_name: mask} + + +def add_mask(mask_function: Callable, input: Union[dict, pa.Table], *args, mask_column_name: str, **kwargs): + mask = mask_function(input, *args, **kwargs) + return _add_mask(input, mask, mask_column_name) + + +async def async_add_mask( + mask_function: Callable, input: Union[dict, pa.Table], *args, mask_column_name: str, **kwargs +): + mask = await mask_function(input, *args, **kwargs) + return _add_mask(input, mask, mask_column_name) + + +class FilteredExamplesIterable(MappedExamplesIterable): + mask_column_name = "===MASK===" + + def __init__( + self, + ex_iterable: _BaseExamplesIterable, + function: Callable, + with_indices: bool = False, + input_columns: Optional[list[str]] = None, + batched: bool = False, + batch_size: Optional[int] = 1000, + fn_kwargs: Optional[dict] = None, + formatting: Optional["FormattingConfig"] = None, + ): + self.mask_function = function + if ex_iterable.is_typed: + features = Features({**ex_iterable.features, self.mask_column_name: Value("bool")}) + else: + features = None + super().__init__( + ex_iterable=ex_iterable, + function=partial( + async_add_mask if inspect.iscoroutinefunction(function) else add_mask, + function, + mask_column_name=self.mask_column_name, + ), + with_indices=with_indices, + input_columns=input_columns, + batched=batched, + batch_size=batch_size, + fn_kwargs=fn_kwargs, + formatting=formatting, + features=features, + ) + + def _iter(self): + for key, example in super()._iter(): + example = dict(example) + if example.pop(self.mask_column_name): + yield key, example + + def _iter_arrow(self, max_chunksize: Optional[int] = None): + for key, pa_table in super()._iter_arrow(max_chunksize=max_chunksize): + mask = pa_table[self.mask_column_name] + yield key, pa_table.drop(self.mask_column_name).filter(mask) + + def shuffle_data_sources(self, seed: Optional[int]) -> "FilteredExamplesIterable": + """Shuffle the wrapped examples iterable.""" + return FilteredExamplesIterable( + self.ex_iterable.shuffle_data_sources(seed), + function=self.mask_function, + with_indices=self.with_indices, + input_columns=self.input_columns, + batched=self.batched, + batch_size=self.batch_size, + fn_kwargs=self.fn_kwargs, + formatting=self.formatting, + ) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "FilteredExamplesIterable": + """Keep only the requested shard.""" + return FilteredExamplesIterable( + self.ex_iterable.shard_data_sources(num_shards, index, contiguous=contiguous), + function=self.mask_function, + with_indices=self.with_indices, + input_columns=self.input_columns, + batched=self.batched, + batch_size=self.batch_size, + fn_kwargs=self.fn_kwargs, + formatting=self.formatting, + ) + + @property + def num_shards(self) -> int: + return self.ex_iterable.num_shards + + +class BufferShuffledExamplesIterable(_BaseExamplesIterable): + def __init__(self, ex_iterable: _BaseExamplesIterable, buffer_size: int, generator: np.random.Generator): + super().__init__() + self.ex_iterable = ex_iterable + self.buffer_size = buffer_size + self.generator = generator + # TODO(QL): implement iter_arrow + + @property + def is_typed(self): + return self.ex_iterable.is_typed + + @property + def features(self): + return self.ex_iterable.features + + def _init_state_dict(self) -> dict: + self._state_dict = self.ex_iterable._init_state_dict() + self._original_state_dict = self.state_dict() + return self._state_dict + + def load_state_dict(self, state_dict: dict) -> dict: + if self._state_dict: + if state_dict != self._original_state_dict: + logger.warning( + "Loading a state dict of a shuffle buffer of a dataset without the buffer content." + "The shuffle buffer will be refilled before starting to yield new examples." + ) + return super().load_state_dict(state_dict) + + @staticmethod + def _iter_random_indices(rng: np.random.Generator, buffer_size: int, random_batch_size=1000) -> Iterator[int]: + while True: + yield from (int(i) for i in rng.integers(0, buffer_size, size=random_batch_size)) + + def __iter__(self): + buffer_size = self.buffer_size + rng = deepcopy(self.generator) + indices_iterator = self._iter_random_indices(rng, buffer_size) + # this is the shuffle buffer that we keep in memory + mem_buffer = [] + for x in self.ex_iterable: + if len(mem_buffer) == buffer_size: # if the buffer is full, pick and example from it + i = next(indices_iterator) + yield mem_buffer[i] + mem_buffer[i] = x # replace the picked example by a new one + else: # otherwise, keep filling the buffer + mem_buffer.append(x) + # when we run out of examples, we shuffle the remaining examples in the buffer and yield them + rng.shuffle(mem_buffer) + yield from mem_buffer + + def shuffle_data_sources(self, generator: np.random.Generator) -> "BufferShuffledExamplesIterable": + """Shuffle the wrapped examples iterable as well as the shuffling buffer.""" + return BufferShuffledExamplesIterable( + self.ex_iterable.shuffle_data_sources(generator), buffer_size=self.buffer_size, generator=generator + ) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "BufferShuffledExamplesIterable": + """Keep only the requested shard.""" + return BufferShuffledExamplesIterable( + self.ex_iterable.shard_data_sources(num_shards, index, contiguous=contiguous), + buffer_size=self.buffer_size, + generator=self.generator, + ) + + @property + def num_shards(self) -> int: + return self.ex_iterable.num_shards + + +class SkipExamplesIterable(_BaseExamplesIterable): + def __init__( + self, + ex_iterable: _BaseExamplesIterable, + n: int, + block_sources_order_when_shuffling: bool = True, + split_when_sharding: bool = True, + ): + super().__init__() + self.ex_iterable = ex_iterable + self.n = n + self.block_sources_order_when_shuffling = block_sources_order_when_shuffling + self.split_when_sharding = split_when_sharding + # TODO(QL): implement iter_arrow + + @property + def is_typed(self): + return self.ex_iterable.is_typed + + @property + def features(self): + return self.ex_iterable.features + + def _init_state_dict(self) -> dict: + self._state_dict = { + "skipped": False, + "examples_iterable": self.ex_iterable._init_state_dict(), + "type": self.__class__.__name__, + } + return self._state_dict + + def __iter__(self): + ex_iterable_idx_start = 0 if self._state_dict and self._state_dict["skipped"] else self.n + if self._state_dict: + self._state_dict["skipped"] = True + yield from islice(self.ex_iterable, ex_iterable_idx_start, None) + + @staticmethod + def split_number(num, n): + quotient = num // n + remainder = num % n + result = [quotient] * n + for i in range(remainder): + result[i] += 1 + return result + + def shuffle_data_sources(self, generator: np.random.Generator) -> "SkipExamplesIterable": + """May not shuffle the wrapped examples iterable since it would skip examples from other shards instead.""" + if self.block_sources_order_when_shuffling: + return self + else: + return SkipExamplesIterable( + self.ex_iterable.shuffle_data_sources(generator), + n=self.n, + block_sources_order_when_shuffling=self.block_sources_order_when_shuffling, + split_when_sharding=self.split_when_sharding, + ) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "SkipExamplesIterable": + """Keep only the requested shard.""" + if self.split_when_sharding: + return SkipExamplesIterable( + self.ex_iterable.shard_data_sources(num_shards, index, contiguous=contiguous), + n=self.split_number(self.n, num_shards)[index], + block_sources_order_when_shuffling=self.block_sources_order_when_shuffling, + split_when_sharding=self.split_when_sharding, + ) + else: + return self + + @property + def num_shards(self) -> int: + return self.ex_iterable.num_shards + + +class RepeatExamplesIterable(_BaseExamplesIterable): + """ + Iterable that repeats the underlying iterable a given number of times. + """ + + def __init__( + self, + ex_iterable: _BaseExamplesIterable, + num_times: Optional[int], + ): + super().__init__() + self.ex_iterable = ex_iterable + self.num_times = num_times + + def _init_state_dict(self) -> dict: + self._state_dict = { + "repeat_index": 0, + "examples_iterable": self.ex_iterable._init_state_dict(), + "type": self.__class__.__name__, + } + return self._state_dict + + def __iter__(self): + repeat_index = self._state_dict["repeat_index"] if self._state_dict else 0 + while True: + if self.num_times is not None and repeat_index >= max(self.num_times, 0): + break + yield from self.ex_iterable + repeat_index += 1 + if self._state_dict: + self._state_dict["repeat_index"] = repeat_index + self._state_dict["examples_iterable"] = self.ex_iterable._init_state_dict() + + def shuffle_data_sources(self, generator: np.random.Generator) -> "RepeatExamplesIterable": + """Shuffle the underlying iterable, then repeat.""" + return RepeatExamplesIterable(self.ex_iterable.shuffle_data_sources(generator), num_times=self.num_times) + + def shard_data_sources(self, worker_id: int, num_workers: int) -> "RepeatExamplesIterable": + """Shard, then repeat shards.""" + return RepeatExamplesIterable( + self.ex_iterable.shard_data_sources(worker_id, num_workers), + num_times=self.num_times, + ) + + @property + def n_shards(self) -> int: + return self.ex_iterable.n_shards + + +class TakeExamplesIterable(_BaseExamplesIterable): + def __init__( + self, + ex_iterable: _BaseExamplesIterable, + n: int, + block_sources_order_when_shuffling: bool = True, + split_when_sharding: bool = True, + ): + super().__init__() + self.ex_iterable = ex_iterable + self.n = n + self.block_sources_order_when_shuffling = block_sources_order_when_shuffling + self.split_when_sharding = split_when_sharding + # TODO(QL): implement iter_arrow + + @property + def is_typed(self): + return self.ex_iterable.is_typed + + @property + def features(self): + return self.ex_iterable.features + + def _init_state_dict(self) -> dict: + self._state_dict = { + "num_taken": 0, + "examples_iterable": self.ex_iterable._init_state_dict(), + "type": self.__class__.__name__, + } + return self._state_dict + + def __iter__(self): + ex_iterable_num_taken = self._state_dict["num_taken"] if self._state_dict else 0 + for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken): + if self._state_dict: + self._state_dict["num_taken"] += 1 + yield key_example + + @staticmethod + def split_number(num, n): + quotient = num // n + remainder = num % n + result = [quotient] * n + for i in range(remainder): + result[i] += 1 + return result + + def shuffle_data_sources(self, generator: np.random.Generator) -> "TakeExamplesIterable": + """May not shuffle the wrapped examples iterable since it would take examples from other shards instead.""" + if self.block_sources_order_when_shuffling: + return self + else: + return TakeExamplesIterable( + self.ex_iterable.shuffle_data_sources(generator), + n=self.n, + block_sources_order_when_shuffling=self.block_sources_order_when_shuffling, + split_when_sharding=self.split_when_sharding, + ) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "TakeExamplesIterable": + """Keep only the requested shard.""" + if self.split_when_sharding: + return TakeExamplesIterable( + self.ex_iterable.shard_data_sources(num_shards, index, contiguous=contiguous), + n=self.split_number(self.n, num_shards)[index], + block_sources_order_when_shuffling=self.block_sources_order_when_shuffling, + split_when_sharding=self.split_when_sharding, + ) + else: + return TakeExamplesIterable( + self.ex_iterable.shard_data_sources(num_shards, index, contiguous=contiguous), + n=self.n, + block_sources_order_when_shuffling=self.block_sources_order_when_shuffling, + split_when_sharding=self.split_when_sharding, + ) + + @property + def num_shards(self) -> int: + return self.ex_iterable.num_shards + + +def _apply_feature_types_on_example( + example: dict, features: Features, token_per_repo_id: dict[str, Union[str, bool, None]] +) -> dict: + example = dict(example) + # add missing columns + for column_name in features: + if column_name not in example: + example[column_name] = None + # we encode the example for ClassLabel feature types for example + encoded_example = features.encode_example(example) + # Decode example for Audio feature, e.g. + decoded_example = features.decode_example(encoded_example, token_per_repo_id=token_per_repo_id) + return decoded_example + + +def _apply_feature_types_on_batch( + batch: dict, features: Features, token_per_repo_id: dict[str, Union[str, bool, None]] +) -> dict: + batch = dict(batch) + # add missing columns + n_examples = len(batch[next(iter(batch))]) + for column_name in features: + if column_name not in batch: + batch[column_name] = [None] * n_examples + # we encode the batch for ClassLabel feature types for example + encoded_batch = features.encode_batch(batch) + # Decode batch for Audio feature, e.g. + decoded_batch = features.decode_batch(encoded_batch, token_per_repo_id=token_per_repo_id) + return decoded_batch + + +@dataclass +class FormattingConfig: + format_type: Optional[str] + + @property + def is_table(self) -> bool: + return isinstance(get_formatter(self.format_type), TableFormatter) + + @property + def is_tensor(self) -> bool: + return isinstance(get_formatter(self.format_type), TensorFormatter) + + +class FormattedExamplesIterable(_BaseExamplesIterable): + def __init__( + self, + ex_iterable: _BaseExamplesIterable, + formatting: Optional[FormattingConfig], + features: Optional[Features], + token_per_repo_id: dict[str, Union[str, bool, None]], + ): + super().__init__() + self.ex_iterable = ex_iterable + self._features = features + self.formatting = formatting + self.token_per_repo_id = token_per_repo_id + + @property + def iter_arrow(self): + if self.ex_iterable.iter_arrow and (not self.formatting or self.formatting.is_table): + return self._iter_arrow + + @property + def is_typed(self): + return self.ex_iterable.is_typed or self._features is not None + + @property + def features(self): + return self._features + + def _init_state_dict(self) -> dict: + self._state_dict = self.ex_iterable._init_state_dict() + return self._state_dict + + def __iter__(self): + if not self.formatting or self.formatting.is_table: + formatter = PythonFormatter(features=self._features if not self.ex_iterable.is_typed else None) + else: + formatter = get_formatter( + self.formatting.format_type, + features=self._features if not self.ex_iterable.is_typed else None, + token_per_repo_id=self.token_per_repo_id, + ) + if self.ex_iterable.iter_arrow: + # feature casting (inc column addition) handled within self._iter_arrow() + for key, pa_table in self._iter_arrow(): + batch = formatter.format_batch(pa_table) + for example in _batch_to_examples(batch): + yield key, example + else: + format_dict = ( + formatter.recursive_tensorize + if isinstance(formatter, TensorFormatter) + else None # cast in case features is None + ) + for key, example in self.ex_iterable: + # don't apply feature types if already applied by ex_iterable (e.g. in case of chained with_format) + if self.features and not self.ex_iterable.is_typed: + example = _apply_feature_types_on_example( + example, self.features, token_per_repo_id=self.token_per_repo_id + ) + if format_dict: + example = format_dict(example) + yield key, example + + def _iter_arrow(self) -> Iterator[tuple[Key, pa.Table]]: + if not self.features: + yield from self.ex_iterable._iter_arrow() + for key, pa_table in self.ex_iterable._iter_arrow(): + columns = set(pa_table.column_names) + schema = self.features.arrow_schema + # add missing columns + for column_name in self.features: + if column_name not in columns: + col = pa.NullArray.from_buffers(pa.null(), len(pa_table), [None]) + pa_table = pa_table.append_column(column_name, col) + if pa_table.schema != schema: + pa_table = cast_table_to_features(pa_table, self.features) + yield key, pa_table + + def shuffle_data_sources(self, generator: np.random.Generator) -> "FormattedExamplesIterable": + """Shuffle the wrapped examples iterable.""" + return FormattedExamplesIterable( + self.ex_iterable.shuffle_data_sources(generator), + features=self.features, + token_per_repo_id=self.token_per_repo_id, + formatting=self.formatting, + ) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "FormattedExamplesIterable": + """Keep only the requested shard.""" + return FormattedExamplesIterable( + self.ex_iterable.shard_data_sources(num_shards, index, contiguous=contiguous), + features=self.features, + token_per_repo_id=self.token_per_repo_id, + formatting=self.formatting, + ) + + @property + def num_shards(self) -> int: + return self.ex_iterable.num_shards + + +@dataclass +class ShufflingConfig: + generator: np.random.Generator + _original_seed: Optional[int] = None + + +@dataclass +class DistributedConfig: + rank: int + world_size: int + + +def _maybe_add_torch_iterable_dataset_parent_class(cls): + """Add torch.utils.data.IterableDataset as a parent class if 'torch' is available""" + if config.TORCH_AVAILABLE: + import torch.utils.data + + if torch.utils.data.IterableDataset not in cls.__bases__: + cls.__bases__ += (torch.utils.data.IterableDataset,) + + +def _maybe_share_with_torch_persistent_workers(value: Union[int, "torch.Tensor"]) -> Union[int, "torch.Tensor"]: + if config.TORCH_AVAILABLE: + import torch + + if isinstance(value, torch.Tensor): + return value.share_memory_() + else: + return torch.tensor(value).share_memory_() + else: + return value + + +class IterableDataset(DatasetInfoMixin): + """A Dataset backed by an iterable.""" + + def __init__( + self, + ex_iterable: _BaseExamplesIterable, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + formatting: Optional[FormattingConfig] = None, + shuffling: Optional[ShufflingConfig] = None, + distributed: Optional[DistributedConfig] = None, + token_per_repo_id: Optional[dict[str, Union[str, bool, None]]] = None, + ): + if distributed and distributed.world_size > 1 and shuffling and shuffling._original_seed is None: + raise RuntimeError( + "The dataset doesn't have a fixed random seed across nodes to shuffle and split the list of dataset shards by node. " + "Please pass e.g. `seed=42` in `.shuffle()` to make all the nodes use the same seed. " + ) + + info = info.copy() if info is not None else DatasetInfo() + DatasetInfoMixin.__init__(self, info=info, split=split) + + self._ex_iterable = copy.copy(ex_iterable) + self._formatting = formatting + self._shuffling = shuffling + self._distributed = distributed + self._token_per_repo_id: dict[str, Union[str, bool, None]] = token_per_repo_id or {} + self._epoch: Union[int, "torch.Tensor"] = _maybe_share_with_torch_persistent_workers(0) + self._starting_state_dict: Optional[dict] = None + self._prepare_ex_iterable_for_iteration() # set state_dict + _maybe_add_torch_iterable_dataset_parent_class(self.__class__) # subclass of torch IterableDataset + + def state_dict(self) -> dict: + """Get the current state_dict of the dataset. + It corresponds to the state at the latest example it yielded. + + Resuming returns exactly where the checkpoint was saved except in two cases: + + 1. examples from shuffle buffers are lost when resuming and the buffers are refilled with new data + 2. combinations of `.with_format(arrow)` and batched `.map()` may skip one batch. + + Returns: + `dict` + + Example: + + ```py + >>> from datasets import Dataset, concatenate_datasets + >>> ds = Dataset.from_dict({"a": range(6)}).to_iterable_dataset(num_shards=3) + >>> for idx, example in enumerate(ds): + ... print(example) + ... if idx == 2: + ... state_dict = ds.state_dict() + ... print("checkpoint") + ... break + >>> ds.load_state_dict(state_dict) + >>> print(f"restart from checkpoint") + >>> for example in ds: + ... print(example) + ``` + + which returns: + ``` + {'a': 0} + {'a': 1} + {'a': 2} + checkpoint + restart from checkpoint + {'a': 3} + {'a': 4} + {'a': 5} + ``` + + ```py + >>> from torchdata.stateful_dataloader import StatefulDataLoader + >>> ds = load_dataset("deepmind/code_contests", streaming=True, split="train") + >>> dataloader = StatefulDataLoader(ds, batch_size=32, num_workers=4) + >>> # checkpoint + >>> state_dict = dataloader.state_dict() # uses ds.state_dict() under the hood + >>> # resume from checkpoint + >>> dataloader.load_state_dict(state_dict) # uses ds.load_state_dict() under the hood + ``` + """ + return copy.deepcopy(self._state_dict) + + def load_state_dict(self, state_dict: dict) -> None: + """Load the state_dict of the dataset. + The iteration will restart at the next example from when the state was saved. + + Resuming returns exactly where the checkpoint was saved except in two cases: + + 1. examples from shuffle buffers are lost when resuming and the buffers are refilled with new data + 2. combinations of `.with_format(arrow)` and batched `.map()` may skip one batch. + + Example: + + ```py + >>> from datasets import Dataset, concatenate_datasets + >>> ds = Dataset.from_dict({"a": range(6)}).to_iterable_dataset(num_shards=3) + >>> for idx, example in enumerate(ds): + ... print(example) + ... if idx == 2: + ... state_dict = ds.state_dict() + ... print("checkpoint") + ... break + >>> ds.load_state_dict(state_dict) + >>> print(f"restart from checkpoint") + >>> for example in ds: + ... print(example) + ``` + + which returns: + ``` + {'a': 0} + {'a': 1} + {'a': 2} + checkpoint + restart from checkpoint + {'a': 3} + {'a': 4} + {'a': 5} + ``` + + ```py + >>> from torchdata.stateful_dataloader import StatefulDataLoader + >>> ds = load_dataset("deepmind/code_contests", streaming=True, split="train") + >>> dataloader = StatefulDataLoader(ds, batch_size=32, num_workers=4) + >>> # checkpoint + >>> state_dict = dataloader.state_dict() # uses ds.state_dict() under the hood + >>> # resume from checkpoint + >>> dataloader.load_state_dict(state_dict) # uses ds.load_state_dict() under the hood + ``` + """ + self._starting_state_dict = state_dict + + def __repr__(self): + return f"IterableDataset({{\n features: {list(self._info.features.keys()) if self._info.features is not None else 'Unknown'},\n num_shards: {self.num_shards}\n}})" + + def __getstate__(self): + return self.__dict__ + + def __setstate__(self, d): + self.__dict__ = d + # Re-add torch shared memory, since shared memory is not always kept when pickling + self._epoch = _maybe_share_with_torch_persistent_workers(self._epoch) + # Re-add torch iterable dataset as a parent class, since dynamically added parent classes are not kept when pickling + _maybe_add_torch_iterable_dataset_parent_class(self.__class__) + + def _head(self, n=5): + return next(iter(self.iter(batch_size=n))) + + @property + def epoch(self) -> int: + return int(self._epoch) + + def _effective_generator(self): + if self._shuffling and self.epoch == 0: + return self._shuffling.generator + elif self._shuffling: + # Create effective seed using self.epoch (we subtract in order to avoir overflow in long_scalars) + effective_seed = deepcopy(self._shuffling.generator).integers(0, 1 << 63) - self.epoch + effective_seed = (1 << 63) + effective_seed if effective_seed < 0 else effective_seed + return np.random.default_rng(effective_seed) + else: + raise ValueError("This dataset is not shuffled") + + @property + def num_shards(self) -> int: + if self._distributed and self._ex_iterable.num_shards % self._distributed.world_size == 0: + return self._ex_iterable.num_shards // self._distributed.world_size + return self._ex_iterable.num_shards + + @property + def n_shards(self) -> int: # backward compatibility + return self.num_shards + + def _iter_pytorch(self): + ex_iterable = self._prepare_ex_iterable_for_iteration() + # Fix for fsspec when using multiprocess to avoid hanging in the ML training loop. (only required for fsspec >= 0.9.0) + # See https://github.com/fsspec/gcsfs/issues/379 + fsspec.asyn.reset_lock() + # check if there aren't too many workers + import torch.utils.data + + worker_info = torch.utils.data.get_worker_info() + if self._is_main_process() and ex_iterable.num_shards < worker_info.num_workers: + logger.warning( + f"Too many dataloader workers: {worker_info.num_workers} (max is dataset.num_shards={ex_iterable.num_shards}). " + f"Stopping {worker_info.num_workers - ex_iterable.num_shards} dataloader workers." + ) + logger.info( + f"To parallelize data loading, we give each process some shards (or data sources) to process. " + f"Therefore it's unnecessary to have a number of workers greater than dataset.num_shards={ex_iterable.num_shards}. " + f"To enable more parallelism, please split the dataset in more files than {ex_iterable.num_shards}." + ) + # split workload + _log_prefix = f"node#{self._distributed.rank} " if self._distributed else "" + shards_indices = ex_iterable.split_shard_indices_by_worker( + num_shards=worker_info.num_workers, index=worker_info.id, contiguous=False + ) + if shards_indices: + logger.debug( + f"{_log_prefix}dataloader worker#{worker_info.id}, ': Starting to iterate over {len(shards_indices)}/{ex_iterable.num_shards} shards." + ) + ex_iterable = ex_iterable.shard_data_sources( + num_shards=worker_info.num_workers, index=worker_info.id, contiguous=False + ) + self._state_dict = { + "examples_iterable": ex_iterable._init_state_dict(), + "epoch": self.epoch, + } + if self._starting_state_dict and self.epoch == self._starting_state_dict["epoch"]: + ex_iterable.load_state_dict(self._starting_state_dict["examples_iterable"]) + + if self._formatting and (ex_iterable.iter_arrow or self._formatting.is_table): + formatter = get_formatter(self._formatting.format_type, features=self.features) + if ex_iterable.iter_arrow: + iterator = ex_iterable.iter_arrow() + else: + iterator = _convert_to_arrow(ex_iterable, batch_size=1) + for key, pa_table in iterator: + yield formatter.format_row(pa_table) + return + else: + for key, example in ex_iterable: + # no need to format thanks to FormattedExamplesIterable + yield example + logger.debug( + f"{_log_prefix}dataloader worker#{worker_info.id}, ': Finished iterating over {len(shards_indices)}/{ex_iterable.num_shards} shards." + ) + else: + logger.debug( + f"{_log_prefix}dataloader worker#{worker_info.id}, ': Stopping... Number of dataset shards < num_workers ({ex_iterable.num_shards}<{worker_info.num_workers})." + ) + + def _is_main_process(self): + if self._distributed and self._distributed.rank > 0: + return False + if "torch" in sys.modules: + import torch.utils.data + + worker_info = torch.utils.data.get_worker_info() + if worker_info is not None and worker_info.id > 0: + return False + return True + + def _prepare_ex_iterable_for_iteration( + self, batch_size: int = 1, drop_last_batch: bool = False + ) -> _BaseExamplesIterable: + ex_iterable = self._ex_iterable + if ( + self._formatting + and (ex_iterable.iter_arrow or self._formatting.is_table) + or (self.features and ex_iterable.features != self.features) + ): + ex_iterable = RebatchedArrowExamplesIterable( + ex_iterable, batch_size=batch_size, drop_last_batch=drop_last_batch + ) + if self._shuffling: + ex_iterable = ex_iterable.shuffle_data_sources(self._effective_generator()) + else: + ex_iterable = ex_iterable + + if self._distributed: + rank = self._distributed.rank + world_size = self._distributed.world_size + if ex_iterable.num_shards % world_size == 0: + if self._is_main_process(): + num_shards_per_node = ex_iterable.num_shards // world_size + plural = "s" if num_shards_per_node > 1 else "" + logger.info( + f"Assigning {num_shards_per_node} shard{plural} (or data source{plural}) of the dataset to each node." + ) + ex_iterable = ex_iterable.shard_data_sources(num_shards=world_size, index=rank, contiguous=False) + else: + if self._is_main_process(): + logger.info( + f"Assigning 1 out of {world_size} examples of the dataset to each node. The others are skipped during the iteration." + ) + logger.info( + f"It is more optimized to distribute the dataset shards (or data sources) across nodes. " + f"You can do that by using a dataset with number of shards that is a factor of world_size={world_size}. " + f"The current dataset has {ex_iterable.num_shards} which is not a factor of {world_size}" + ) + ex_iterable = StepExamplesIterable(ex_iterable, step=world_size, offset=rank) + + if self._formatting or (self.features and ex_iterable.features != self.features): + ex_iterable = FormattedExamplesIterable( + ex_iterable, + formatting=self._formatting, + features=self.features, + token_per_repo_id=self._token_per_repo_id, + ) + + self._state_dict = { + "examples_iterable": ex_iterable._init_state_dict(), + "epoch": self.epoch, + } + if self._starting_state_dict and self.epoch == self._starting_state_dict["epoch"]: + ex_iterable.load_state_dict(self._starting_state_dict["examples_iterable"]) + return ex_iterable + + def __iter__(self): + if "torch" in sys.modules: + import torch.utils.data + + worker_info = torch.utils.data.get_worker_info() + if isinstance(self, torch.utils.data.IterableDataset) and worker_info is not None: + # We're a torch.utils.data.IterableDataset in a PyTorch worker process + yield from self._iter_pytorch() + return + + ex_iterable = self._prepare_ex_iterable_for_iteration() + if self._formatting and (ex_iterable.iter_arrow or self._formatting.is_table): + formatter = get_formatter(self._formatting.format_type, features=self.features) + if ex_iterable.iter_arrow: + iterator = ex_iterable.iter_arrow() + else: + iterator = _convert_to_arrow(ex_iterable, batch_size=1) + for key, pa_table in iterator: + yield formatter.format_row(pa_table) + return + + for key, example in ex_iterable: + # no need to format thanks to FormattedExamplesIterable + yield example + + def iter(self, batch_size: int, drop_last_batch: bool = False): + """Iterate through the batches of size `batch_size`. + + Args: + batch_size (:obj:`int`): size of each batch to yield. + drop_last_batch (:obj:`bool`, default `False`): Whether a last batch smaller than the batch_size should be + dropped + """ + + if self._formatting: + formatter = get_formatter(self._formatting.format_type, features=self.features) + format_dict = formatter.recursive_tensorize if isinstance(formatter, TensorFormatter) else None + else: + format_dict = None + + ex_iterable = self._prepare_ex_iterable_for_iteration(batch_size=batch_size, drop_last_batch=drop_last_batch) + if self._formatting and (ex_iterable.iter_arrow or self._formatting.is_table): + if ex_iterable.iter_arrow: + iterator = ex_iterable.iter_arrow() + else: + iterator = _convert_to_arrow(ex_iterable, batch_size=batch_size, drop_last_batch=drop_last_batch) + for key, pa_table in iterator: + yield formatter.format_batch(pa_table) + return + + iterator = iter(ex_iterable) + for key, example in iterator: + # If batched, first build the batch + examples = [example] + [example for key, example in islice(iterator, batch_size - 1)] + if drop_last_batch and len(examples) < batch_size: # ignore last batch + return + batch = _examples_to_batch(examples) + # we need to format here in case we need to stack tensors together + yield format_dict(batch) if format_dict else batch + + @staticmethod + def from_generator( + generator: Callable, + features: Optional[Features] = None, + gen_kwargs: Optional[dict] = None, + split: NamedSplit = Split.TRAIN, + ) -> "IterableDataset": + """Create an Iterable Dataset from a generator. + + Args: + generator (`Callable`): + A generator function that `yields` examples. + features (`Features`, *optional*): + Dataset features. + gen_kwargs(`dict`, *optional*): + Keyword arguments to be passed to the `generator` callable. + You can define a sharded iterable dataset by passing the list of shards in `gen_kwargs`. + This can be used to improve shuffling and when iterating over the dataset with multiple workers. + split ([`NamedSplit`], defaults to `Split.TRAIN`): + Split name to be assigned to the dataset. + + + Returns: + `IterableDataset` + + Example: + + ```py + >>> def gen(): + ... yield {"text": "Good", "label": 0} + ... yield {"text": "Bad", "label": 1} + ... + >>> ds = IterableDataset.from_generator(gen) + ``` + + ```py + >>> def gen(shards): + ... for shard in shards: + ... with open(shard) as f: + ... for line in f: + ... yield {"line": line} + ... + >>> shards = [f"data{i}.txt" for i in range(32)] + >>> ds = IterableDataset.from_generator(gen, gen_kwargs={"shards": shards}) + >>> ds = ds.shuffle(seed=42, buffer_size=10_000) # shuffles the shards order + uses a shuffle buffer + >>> from torch.utils.data import DataLoader + >>> dataloader = DataLoader(ds.with_format("torch"), num_workers=4) # give each worker a subset of 32/4=8 shards + ``` + """ + from .io.generator import GeneratorDatasetInputStream + + return GeneratorDatasetInputStream( + generator=generator, features=features, gen_kwargs=gen_kwargs, streaming=True, split=split + ).read() + + @staticmethod + def from_spark( + df: "pyspark.sql.DataFrame", + split: Optional[NamedSplit] = None, + features: Optional[Features] = None, + **kwargs, + ) -> "IterableDataset": + """Create an IterableDataset from Spark DataFrame. The dataset is streamed to the driver in batches. + + Args: + df (`pyspark.sql.DataFrame`): + The DataFrame containing the desired data. + split (`NamedSplit`, *optional*): + Split name to be assigned to the dataset. + features (`Features`, *optional*): + Dataset features. + + Returns: + [`IterableDataset`] + + Example: + + ```py + >>> df = spark.createDataFrame( + >>> data=[[1, "Elia"], [2, "Teo"], [3, "Fang"]], + >>> columns=["id", "name"], + >>> ) + >>> ds = IterableDataset.from_spark(df) + ``` + """ + from .io.spark import SparkDatasetReader + + if sys.platform == "win32": + raise OSError("IterableDataset.from_spark is not currently supported on Windows") + + return SparkDatasetReader( + df, + split=split, + features=features, + streaming=True, + **kwargs, + ).read() + + @staticmethod + def from_file(filename: str) -> "IterableDataset": + """Instantiate a IterableDataset from Arrow table at filename. + + Args: + filename (`str`): + File name of the dataset. + + Returns: + [`IterableDataset`] + """ + pa_table_schema = read_schema_from_file(filename) + inferred_features = Features.from_arrow_schema(pa_table_schema) + ex_iterable = ArrowExamplesIterable(Dataset._generate_tables_from_cache_file, kwargs={"filename": filename}) + return IterableDataset(ex_iterable=ex_iterable, info=DatasetInfo(features=inferred_features)) + + def with_format( + self, + type: Optional[str] = None, + ) -> "IterableDataset": + """ + Return a dataset with the specified format. + + Args: + + type (`str`, *optional*): + Either output type selected in `[None, 'numpy', 'torch', 'tensorflow', 'jax', 'arrow', 'pandas', 'polars']`. + `None` means it returns python objects (default). + + Example: + + ```py + >>> from datasets import load_dataset + >>> from transformers import AutoTokenizer + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation", streaming=True) + >>> tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") + >>> ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True) + >>> ds = ds.with_format("torch") + >>> next(iter(ds)) + {'text': 'compassionately explores the seemingly irreconcilable situation between conservative christian parents and their estranged gay and lesbian children .', + 'label': tensor(1), + 'input_ids': tensor([ 101, 18027, 16310, 16001, 1103, 9321, 178, 11604, 7235, 6617, + 1742, 2165, 2820, 1206, 6588, 22572, 12937, 1811, 2153, 1105, + 1147, 12890, 19587, 6463, 1105, 15026, 1482, 119, 102, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0]), + 'token_type_ids': tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), + 'attention_mask': tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, + 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])} + ``` + """ + type = get_format_type_from_alias(type) + # TODO(QL): add format_kwargs + # TODO(QL): add format_columns and return_all_columns + # TODO(QL): add pandas format + return IterableDataset( + ex_iterable=self._ex_iterable, + info=self._info.copy(), + split=self._split, + formatting=FormattingConfig(format_type=type), + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def map( + self, + function: Optional[Callable] = None, + with_indices: bool = False, + input_columns: Optional[Union[str, list[str]]] = None, + batched: bool = False, + batch_size: Optional[int] = 1000, + drop_last_batch: bool = False, + remove_columns: Optional[Union[str, list[str]]] = None, + features: Optional[Features] = None, + fn_kwargs: Optional[dict] = None, + ) -> "IterableDataset": + """ + Apply a function to all the examples in the iterable dataset (individually or in batches) and update them. + If your function returns a column that already exists, then it overwrites it. + The function is applied on-the-fly on the examples when iterating over the dataset. + + You can specify whether the function should be batched or not with the `batched` parameter: + + - If batched is `False`, then the function takes 1 example in and should return 1 example. + An example is a dictionary, e.g. `{"text": "Hello there !"}`. + - If batched is `True` and `batch_size` is 1, then the function takes a batch of 1 example as input and can return a batch with 1 or more examples. + A batch is a dictionary, e.g. a batch of 1 example is {"text": ["Hello there !"]}. + - If batched is `True` and `batch_size` is `n` > 1, then the function takes a batch of `n` examples as input and can return a batch with `n` examples, or with an arbitrary number of examples. + Note that the last batch may have less than `n` examples. + A batch is a dictionary, e.g. a batch of `n` examples is `{"text": ["Hello there !"] * n}`. + + If the function is asynchronous, then `map` will run your function in parallel, with up to one thousand simulatenous calls. + It is recommended to use a `asyncio.Semaphore` in your function if you want to set a maximum number of operations that can run at the same time. + + Args: + function (`Callable`, *optional*, defaults to `None`): + Function applied on-the-fly on the examples when you iterate on the dataset. + It must have one of the following signatures: + + - `function(example: Dict[str, Any]) -> Dict[str, Any]` if `batched=False` and `with_indices=False` + - `function(example: Dict[str, Any], idx: int) -> Dict[str, Any]` if `batched=False` and `with_indices=True` + - `function(batch: Dict[str, List]) -> Dict[str, List]` if `batched=True` and `with_indices=False` + - `function(batch: Dict[str, List], indices: List[int]) -> Dict[str, List]` if `batched=True` and `with_indices=True` + + For advanced usage, the function can also return a `pyarrow.Table`. + If the function is asynchronous, then `map` will run your function in parallel. + Moreover if your function returns nothing (`None`), then `map` will run your function and return the dataset unchanged. + If no function is provided, default to identity function: `lambda x: x`. + with_indices (`bool`, defaults to `False`): + Provide example indices to `function`. Note that in this case the signature of `function` should be `def function(example, idx[, rank]): ...`. + input_columns (`Optional[Union[str, List[str]]]`, defaults to `None`): + The columns to be passed into `function` + as positional arguments. If `None`, a dict mapping to all formatted columns is passed as one argument. + batched (`bool`, defaults to `False`): + Provide batch of examples to `function`. + batch_size (`int`, *optional*, defaults to `1000`): + Number of examples per batch provided to `function` if `batched=True`. + `batch_size <= 0` or `batch_size == None` then provide the full dataset as a single batch to `function`. + drop_last_batch (`bool`, defaults to `False`): + Whether a last batch smaller than the batch_size should be + dropped instead of being processed by the function. + remove_columns (`[List[str]]`, *optional*, defaults to `None`): + Remove a selection of columns while doing the mapping. + Columns will be removed before updating the examples with the output of `function`, i.e. if `function` is adding + columns with names in `remove_columns`, these columns will be kept. + features (`[Features]`, *optional*, defaults to `None`): + Feature types of the resulting dataset. + fn_kwargs (`Dict`, *optional*, default `None`): + Keyword arguments to be passed to `function`. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train", streaming=True) + >>> def add_prefix(example): + ... example["text"] = "Review: " + example["text"] + ... return example + >>> ds = ds.map(add_prefix) + >>> list(ds.take(3)) + [{'label': 1, + 'text': 'Review: the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'Review: the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'Review: effective but too-tepid biopic'}] + ``` + """ + if isinstance(input_columns, str): + input_columns = [input_columns] + if isinstance(remove_columns, str): + remove_columns = [remove_columns] + if function is None: + function = identity_func + if fn_kwargs is None: + fn_kwargs = {} + + ex_iterable = self._ex_iterable + # no need to apply features if ex_iterable is typed and if there was no cast_column() + input_features = ( + None + if (ex_iterable.is_typed and (self._info.features is None or self._info.features == ex_iterable.features)) + else self._info.features + ) + + if self._formatting and self._formatting.is_table: + # apply formatting before iter_arrow to keep map examples iterable happy + ex_iterable = FormattedExamplesIterable( + ex_iterable, + formatting=copy.deepcopy(self._formatting), + features=input_features, + token_per_repo_id=self._token_per_repo_id, + ) + ex_iterable = RebatchedArrowExamplesIterable( + ex_iterable, batch_size=batch_size if batched else 1, drop_last_batch=drop_last_batch + ) + else: + if self._formatting and self._ex_iterable.iter_arrow: + ex_iterable = RebatchedArrowExamplesIterable( + self._ex_iterable, batch_size=batch_size if batched else 1, drop_last_batch=drop_last_batch + ) + if self._formatting or input_features: + # apply formatting after iter_arrow to avoid re-encoding the examples + ex_iterable = FormattedExamplesIterable( + ex_iterable, + formatting=copy.deepcopy(self._formatting), + features=input_features, + token_per_repo_id=self._token_per_repo_id, + ) + + ex_iterable = MappedExamplesIterable( + ex_iterable, + function=function, + with_indices=with_indices, + input_columns=input_columns, + batched=batched, + batch_size=batch_size, + drop_last_batch=drop_last_batch, + remove_columns=remove_columns, + fn_kwargs=fn_kwargs, + formatting=self._formatting, + features=features, + ) + info = self.info.copy() + info.features = features + return IterableDataset( + ex_iterable=ex_iterable, + info=info, + split=self._split, + formatting=self._formatting, + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def filter( + self, + function: Optional[Callable] = None, + with_indices=False, + input_columns: Optional[Union[str, list[str]]] = None, + batched: bool = False, + batch_size: Optional[int] = 1000, + fn_kwargs: Optional[dict] = None, + ) -> "IterableDataset": + """Apply a filter function to all the elements so that the dataset only includes examples according to the filter function. + The filtering is done on-the-fly when iterating over the dataset. + + If the function is asynchronous, then `filter` will run your function in parallel, with up to one thousand simulatenous calls (configurable). + It is recommended to use a `asyncio.Semaphore` in your function if you want to set a maximum number of operations that can run at the same time. + + Args: + function (`Callable`): + Callable with one of the following signatures: + + - `function(example: Dict[str, Any]) -> bool` if `with_indices=False, batched=False` + - `function(example: Dict[str, Any], indices: int) -> bool` if `with_indices=True, batched=False` + - `function(example: Dict[str, List]) -> List[bool]` if `with_indices=False, batched=True` + - `function(example: Dict[str, List], indices: List[int]) -> List[bool]` if `with_indices=True, batched=True` + + If the function is asynchronous, then `filter` will run your function in parallel. + If no function is provided, defaults to an always True function: `lambda x: True`. + with_indices (`bool`, defaults to `False`): + Provide example indices to `function`. Note that in this case the signature of `function` should be `def function(example, idx): ...`. + input_columns (`str` or `List[str]`, *optional*): + The columns to be passed into `function` as + positional arguments. If `None`, a dict mapping to all formatted columns is passed as one argument. + batched (`bool`, defaults to `False`): + Provide batch of examples to `function`. + batch_size (`int`, *optional*, default `1000`): + Number of examples per batch provided to `function` if `batched=True`. + fn_kwargs (`Dict`, *optional*, default `None`): + Keyword arguments to be passed to `function`. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train", streaming=True) + >>> ds = ds.filter(lambda x: x["label"] == 0) + >>> list(ds.take(3)) + [{'label': 0, 'movie_review': 'simplistic , silly and tedious .'}, + {'label': 0, + 'movie_review': "it's so laddish and juvenile , only teenage boys could possibly find it funny ."}, + {'label': 0, + 'movie_review': 'exploitative and largely devoid of the depth or sophistication that would make watching such a graphic treatment of the crimes bearable .'}] + ``` + """ + if isinstance(input_columns, str): + input_columns = [input_columns] + + # We need the examples to be decoded for certain feature types like Image or Audio, + # format and type before filtering + ex_iterable = self._ex_iterable + if self._info.features or self._formatting: + ex_iterable = FormattedExamplesIterable( + ex_iterable, + formatting=self._formatting, + features=None if ex_iterable.is_typed else self._info.features, + token_per_repo_id=self._token_per_repo_id, + ) + + ex_iterable = FilteredExamplesIterable( + ex_iterable, + function=function, + with_indices=with_indices, + input_columns=input_columns, + batched=batched, + batch_size=batch_size, + fn_kwargs=fn_kwargs, + formatting=self._formatting, + ) + return IterableDataset( + ex_iterable=ex_iterable, + info=self._info, + split=self._split, + formatting=self._formatting, + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def shuffle( + self, seed=None, generator: Optional[np.random.Generator] = None, buffer_size: int = 1000 + ) -> "IterableDataset": + """ + Randomly shuffles the elements of this dataset. + + This dataset fills a buffer with `buffer_size` elements, then randomly samples elements from this buffer, + replacing the selected elements with new elements. For perfect shuffling, a buffer size greater than or + equal to the full size of the dataset is required. + + For instance, if your dataset contains 10,000 elements but `buffer_size` is set to 1000, then `shuffle` will + initially select a random element from only the first 1000 elements in the buffer. Once an element is + selected, its space in the buffer is replaced by the next (i.e. 1,001-st) element, + maintaining the 1000 element buffer. + + If the dataset is made of several shards, it also does shuffle the order of the shards. + However if the order has been fixed by using [`~datasets.IterableDataset.skip`] or [`~datasets.IterableDataset.take`] + then the order of the shards is kept unchanged. + + Args: + seed (`int`, *optional*, defaults to `None`): + Random seed that will be used to shuffle the dataset. + It is used to sample from the shuffle buffer and also to shuffle the data shards. + generator (`numpy.random.Generator`, *optional*): + Numpy random Generator to use to compute the permutation of the dataset rows. + If `generator=None` (default), uses `np.random.default_rng` (the default BitGenerator (PCG64) of NumPy). + buffer_size (`int`, defaults to `1000`): + Size of the buffer. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train", streaming=True) + >>> list(ds.take(3)) + [{'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'effective but too-tepid biopic'}] + >>> shuffled_ds = ds.shuffle(seed=42) + >>> list(shuffled_ds.take(3)) + [{'label': 1, + 'text': "a sports movie with action that's exciting on the field and a story you care about off it ."}, + {'label': 1, + 'text': 'at its best , the good girl is a refreshingly adult take on adultery . . .'}, + {'label': 1, + 'text': "sam jones became a very lucky filmmaker the day wilco got dropped from their record label , proving that one man's ruin may be another's fortune ."}] + ``` + """ + if generator is None: + generator = np.random.default_rng(seed) + else: + generator = deepcopy(generator) + shuffling = ShufflingConfig(generator=generator, _original_seed=seed) + return IterableDataset( + ex_iterable=BufferShuffledExamplesIterable( + self._ex_iterable, buffer_size=buffer_size, generator=generator + ), + info=self._info.copy(), + split=self._split, + formatting=self._formatting, + shuffling=shuffling, + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def set_epoch(self, epoch: int): + self._epoch += epoch - self._epoch # update torch value in shared memory in-place + + def skip(self, n: int) -> "IterableDataset": + """ + Create a new [`IterableDataset`] that skips the first `n` elements. + + Args: + n (`int`): + Number of elements to skip. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train", streaming=True) + >>> list(ds.take(3)) + [{'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'effective but too-tepid biopic'}] + >>> ds = ds.skip(1) + >>> list(ds.take(3)) + [{'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'effective but too-tepid biopic'}, + {'label': 1, + 'text': 'if you sometimes like to go to the movies to have fun , wasabi is a good place to start .'}] + ``` + """ + ex_iterable = SkipExamplesIterable( + self._ex_iterable, + n, + block_sources_order_when_shuffling=self._shuffling is None, + split_when_sharding=self._distributed is None, + ) + return IterableDataset( + ex_iterable=ex_iterable, + info=self._info.copy(), + split=self._split, + formatting=self._formatting, + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def repeat(self, num_times: Optional[int]) -> "IterableDataset": + """ + Create a new [`IterableDataset`] that repeats the underlying dataset `num_times` times. + + N.B. The effect of calling shuffle after repeat depends significantly on buffer size. + With buffer_size 1, duplicate data is never seen in the same iteration, even after shuffling: + ds.repeat(n).shuffle(seed=42, buffer_size=1) is equivalent to ds.shuffle(seed=42, buffer_size=1).repeat(n), + and only shuffles shard orders within each iteration. + With buffer size >= (num samples in the dataset * num_times), we get full shuffling of the repeated data, i.e. we can observe duplicates in + the same iteration. + + Args: + num_times (`int`) or (`None`): + Number of times to repeat the dataset. If `None`, the dataset will be repeated indefinitely. + + Example: + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train") + >>> ds = ds.take(2).repeat(2) + >>> list(ds) + [{'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'effective but too-tepid biopic'}, + {'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}, + {'label': 1, 'text': 'effective but too-tepid biopic'}] + ``` + """ + return IterableDataset( + ex_iterable=RepeatExamplesIterable(self._ex_iterable, num_times=num_times), + info=self._info, + split=self._split, + formatting=self._formatting, + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def take(self, n: int) -> "IterableDataset": + """ + Create a new [`IterableDataset`] with only the first `n` elements. + + Args: + n (`int`): + Number of elements to take. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train", streaming=True) + >>> small_ds = ds.take(2) + >>> list(small_ds) + [{'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'}, + {'label': 1, + 'text': 'the gorgeously elaborate continuation of " the lord of the rings " trilogy is so huge that a column of words cannot adequately describe co-writer/director peter jackson\'s expanded vision of j . r . r . tolkien\'s middle-earth .'}] + ``` + """ + ex_iterable = TakeExamplesIterable( + self._ex_iterable, + n, + block_sources_order_when_shuffling=self._shuffling is None, + split_when_sharding=self._distributed is None, + ) + return IterableDataset( + ex_iterable=ex_iterable, + info=self._info.copy(), + split=self._split, + formatting=self._formatting, + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def shard( + self, + num_shards: int, + index: int, + contiguous: bool = True, + ) -> "IterableDataset": + """Return the `index`-nth shard from dataset split into `num_shards` pieces. + + This shards deterministically. `dataset.shard(n, i)` splits the dataset into contiguous chunks, + so it can be easily concatenated back together after processing. If `dataset.num_shards % n == l`, then the + first `l` datasets each have `(dataset.num_shards // n) + 1` shards, and the remaining datasets have `(dataset.num_shards // n)` shards. + `datasets.concatenate_datasets([dset.shard(n, i) for i in range(n)])` returns a dataset with the same order as the original. + In particular, `dataset.shard(dataset.num_shards, i)` returns a dataset with 1 shard. + + Note: n should be less or equal to the number of shards in the dataset `dataset.num_shards`. + + On the other hand, `dataset.shard(n, i, contiguous=False)` contains all the shards of the dataset whose index mod `n = i`. + + Be sure to shard before using any randomizing operator (such as `shuffle`). + It is best if the shard operator is used early in the dataset pipeline. + + Args: + num_shards (`int`): + How many shards to split the dataset into. + index (`int`): + Which shard to select and return. + contiguous: (`bool`, defaults to `True`): + Whether to select contiguous blocks of indices for shards. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("amazon_polarity", split="train", streaming=True) + >>> ds + Dataset({ + features: ['label', 'title', 'content'], + num_shards: 4 + }) + >>> ds.shard(num_shards=2, index=0) + Dataset({ + features: ['label', 'title', 'content'], + num_shards: 2 + }) + ``` + """ + ex_iterable = self._ex_iterable.shard_data_sources(num_shards=num_shards, index=index, contiguous=contiguous) + return IterableDataset( + ex_iterable=ex_iterable, + info=self._info.copy(), + split=self._split, + formatting=self._formatting, + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + @property + def column_names(self) -> Optional[list[str]]: + """Names of the columns in the dataset. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="validation", streaming=True) + >>> ds.column_names + ['text', 'label'] + ``` + """ + return list(self._info.features.keys()) if self._info.features is not None else None + + def add_column(self, name: str, column: Union[list, np.array]) -> "IterableDataset": + """Add column to Dataset. + + Args: + name (str): Column name. + column (list or np.array): Column data to be added. + + Returns: + `IterableDataset` + """ + return self.map(partial(add_column_fn, name=name, column=column), with_indices=True) + + def rename_column(self, original_column_name: str, new_column_name: str) -> "IterableDataset": + """ + Rename a column in the dataset, and move the features associated to the original column under the new column + name. + + Args: + original_column_name (`str`): + Name of the column to rename. + new_column_name (`str`): + New name for the column. + + Returns: + `IterableDataset`: A copy of the dataset with a renamed column. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train", streaming=True) + >>> next(iter(ds)) + {'label': 1, + 'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'} + >>> ds = ds.rename_column("text", "movie_review") + >>> next(iter(ds)) + {'label': 1, + 'movie_review': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'} + ``` + """ + return self.rename_columns({original_column_name: new_column_name}) + + def rename_columns(self, column_mapping: dict[str, str]) -> "IterableDataset": + """ + Rename several columns in the dataset, and move the features associated to the original columns under + the new column names. + + Args: + column_mapping (`Dict[str, str]`): A mapping of columns to rename to their new names + + Returns: + `IterableDataset`: A copy of the dataset with renamed columns + """ + + original_features = self._info.features.copy() if self._info.features else None + ds_iterable = self.map( + partial(_rename_columns_fn, column_mapping=column_mapping), remove_columns=list(column_mapping) + ) + if original_features is not None: + ds_iterable._info.features = Features( + { + column_mapping[col] if col in column_mapping.keys() else col: feature + for col, feature in original_features.items() + } + ) + return ds_iterable + + def remove_columns(self, column_names: Union[str, list[str]]) -> "IterableDataset": + """ + Remove one or several column(s) in the dataset and the features associated to them. + The removal is done on-the-fly on the examples when iterating over the dataset. + + + Args: + column_names (`Union[str, List[str]]`): + Name of the column(s) to remove. + + Returns: + `IterableDataset`: A copy of the dataset object without the columns to remove. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train", streaming=True) + >>> next(iter(ds)) + {'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .', 'label': 1} + >>> ds = ds.remove_columns("label") + >>> next(iter(ds)) + {'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'} + ``` + """ + original_features = self._info.features.copy() if self._info.features else None + ds_iterable = self.map(remove_columns=column_names) + if original_features is not None: + ds_iterable._info.features = original_features.copy() + for col, _ in original_features.items(): + if col in column_names: + del ds_iterable._info.features[col] + + return ds_iterable + + def select_columns(self, column_names: Union[str, list[str]]) -> "IterableDataset": + """Select one or several column(s) in the dataset and the features + associated to them. The selection is done on-the-fly on the examples + when iterating over the dataset. + + + Args: + column_names (`Union[str, List[str]]`): + Name of the column(s) to select. + + Returns: + `IterableDataset`: A copy of the dataset object with selected columns. + + Example: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train", streaming=True) + >>> next(iter(ds)) + {'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .', 'label': 1} + >>> ds = ds.select_columns("text") + >>> next(iter(ds)) + {'text': 'the rock is destined to be the 21st century\'s new " conan " and that he\'s going to make a splash even greater than arnold schwarzenegger , jean-claud van damme or steven segal .'} + ``` + """ + if isinstance(column_names, str): + column_names = [column_names] + + if self._info: + info = copy.deepcopy(self._info) + if self._info.features is not None: + missing_columns = set(column_names) - set(self._info.features.keys()) + if missing_columns: + raise ValueError( + f"Column name {list(missing_columns)} not in the " + "dataset. Columns in the dataset: " + f"{list(self._info.features.keys())}." + ) + info.features = Features({c: info.features[c] for c in column_names}) + + ex_iterable = SelectColumnsIterable(self._ex_iterable, column_names) + return IterableDataset( + ex_iterable=ex_iterable, + info=info, + split=self._split, + formatting=self._formatting, + shuffling=self._shuffling, + distributed=self._distributed, + token_per_repo_id=self._token_per_repo_id, + ) + + def cast_column(self, column: str, feature: FeatureType) -> "IterableDataset": + """Cast column to feature for decoding. + + Args: + column (`str`): + Column name. + feature (`Feature`): + Target feature. + + Returns: + `IterableDataset` + + Example: + + ```py + >>> from datasets import load_dataset, Audio + >>> ds = load_dataset("PolyAI/minds14", name="en-US", split="train", streaming=True) + >>> ds.features + {'audio': Audio(sampling_rate=8000, mono=True, decode=True, id=None), + 'english_transcription': Value(dtype='string', id=None), + 'intent_class': ClassLabel(num_classes=14, names=['abroad', 'address', 'app_error', 'atm_limit', 'balance', 'business_loan', 'card_issues', 'cash_deposit', 'direct_debit', 'freeze', 'high_value_payment', 'joint_account', 'latest_transactions', 'pay_bill'], id=None), + 'lang_id': ClassLabel(num_classes=14, names=['cs-CZ', 'de-DE', 'en-AU', 'en-GB', 'en-US', 'es-ES', 'fr-FR', 'it-IT', 'ko-KR', 'nl-NL', 'pl-PL', 'pt-PT', 'ru-RU', 'zh-CN'], id=None), + 'path': Value(dtype='string', id=None), + 'transcription': Value(dtype='string', id=None)} + >>> ds = ds.cast_column("audio", Audio(sampling_rate=16000)) + >>> ds.features + {'audio': Audio(sampling_rate=16000, mono=True, decode=True, id=None), + 'english_transcription': Value(dtype='string', id=None), + 'intent_class': ClassLabel(num_classes=14, names=['abroad', 'address', 'app_error', 'atm_limit', 'balance', 'business_loan', 'card_issues', 'cash_deposit', 'direct_debit', 'freeze', 'high_value_payment', 'joint_account', 'latest_transactions', 'pay_bill'], id=None), + 'lang_id': ClassLabel(num_classes=14, names=['cs-CZ', 'de-DE', 'en-AU', 'en-GB', 'en-US', 'es-ES', 'fr-FR', 'it-IT', 'ko-KR', 'nl-NL', 'pl-PL', 'pt-PT', 'ru-RU', 'zh-CN'], id=None), + 'path': Value(dtype='string', id=None), + 'transcription': Value(dtype='string', id=None)} + ``` + """ + info = self._info.copy() + info.features[column] = feature + return IterableDataset( + ex_iterable=self._ex_iterable, + info=info, + split=self._split, + formatting=self._formatting, + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def cast( + self, + features: Features, + ) -> "IterableDataset": + """ + Cast the dataset to a new set of features. + + Args: + features ([`Features`]): + New features to cast the dataset to. + The name of the fields in the features must match the current column names. + The type of the data must also be convertible from one type to the other. + For non-trivial conversion, e.g. `string` <-> `ClassLabel` you should use [`~Dataset.map`] to update the Dataset. + + Returns: + `IterableDataset`: A copy of the dataset with casted features. + + Example: + + ```py + >>> from datasets import load_dataset, ClassLabel, Value + >>> ds = load_dataset("cornell-movie-review-data/rotten_tomatoes", split="train", streaming=True) + >>> ds.features + {'label': ClassLabel(names=['neg', 'pos'], id=None), + 'text': Value(dtype='string', id=None)} + >>> new_features = ds.features.copy() + >>> new_features["label"] = ClassLabel(names=["bad", "good"]) + >>> new_features["text"] = Value("large_string") + >>> ds = ds.cast(new_features) + >>> ds.features + {'label': ClassLabel(names=['bad', 'good'], id=None), + 'text': Value(dtype='large_string', id=None)} + ``` + """ + info = self._info.copy() + info.features = features + return IterableDataset( + ex_iterable=self._ex_iterable, + info=info, + split=self._split, + formatting=self._formatting, + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def decode(self, enable: bool = True, num_threads: int = 0) -> "IterableDataset": + """ + Enable or disable the dataset features decoding for audio, image, video. + + When enabled (default), media types are decoded: + + * audio -> dict of "array" and "sampling_rate" and "path" + * image -> PIL.Image + * video -> torchvision.io.VideoReader + + You can enable multithreading using `num_threads`. This is especially useful to speed up remote + data streaming. However it can be slower than `num_threads=0` for local data on fast disks. + + Disabling decoding is useful if you want to iterate on the paths or bytes of the media files + without actually decoding their content. To disable decoding you can use `.decode(False)`, which + is equivalent to calling `.cast()` or `.cast_column()` with all the Audio, Image and Video types + set to `decode=False`. + + Args: + enable (`bool`, defaults to `True`): + Enable or disable features decoding. + num_threads (`int`, defaults to `0`): + Enable multithreading for features decoding. + + Returns: + `IterableDataset`: A copy of the dataset with casted features. + + Examples: + + Disable decoding: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset("sshh12/planet-textures", split="train", streaming=True) + >>> next(iter(ds)) + {'image': , + 'text': 'A distant celestial object with an icy crust, displaying a light blue shade, covered with round pits and rugged terrains.'} + >>> ds = ds.decode(False) + >>> ds.features + {'image': Image(mode=None, decode=False, id=None), + 'text': Value(dtype='string', id=None)} + >>> next(iter(ds)) + { + 'image': { + 'path': 'hf://datasets/sshh12/planet-textures@69dc4cef7a5c4b2cfe387727ec8ea73d4bff7302/train/textures/0000.png', + 'bytes': None + }, + 'text': 'A distant celestial object with an icy crust, displaying a light blue shade, covered with round pits and rugged terrains.' + } + ``` + + Speed up streaming with multithreading: + + ```py + >>> import os + >>> from datasets import load_dataset + >>> from tqdm import tqdm + >>> ds = load_dataset("sshh12/planet-textures", split="train", streaming=True) + >>> num_threads = min(32, (os.cpu_count() or 1) + 4) + >>> ds = ds.decode(num_threads=num_threads) + >>> for _ in tqdm(ds): # 20 times faster ! + ... ... + ``` + """ + if not self.features: + raise ValueError( + "Features decoding is only available for datasets with known features, but features are Unknown. " + "Please set the datasets features with `ds = ds.cast(features)`." + ) + ds = self + + def set_decoding(decode: bool, feature): + if hasattr(feature, "decode"): + feature.decode = decode + + if enable and num_threads > 0: + disabled_decoding_features = self.features.copy() + enabled_decoding_features = self.features.copy() + + _visit(disabled_decoding_features, partial(set_decoding, False)) + _visit(enabled_decoding_features, partial(set_decoding, True)) + ds = ds.cast(disabled_decoding_features) + pool = multiprocessing.pool.ThreadPool(num_threads) + func = partial(_apply_async, pool, enabled_decoding_features.decode_example) + ds = ds.map(func, features=enabled_decoding_features) + assert isinstance(ds._ex_iterable, MappedExamplesIterable) + ds._ex_iterable.max_num_running_async_map_functions_in_parallel = 2 * num_threads + else: + features = ds.features.copy() + _visit(features, partial(set_decoding, enable)) + ds = ds.cast(features) + return ds + + def _step(self, step: int, offset: int) -> "IterableDataset": + ex_iterable = StepExamplesIterable(self._ex_iterable, step=step, offset=offset) + return IterableDataset( + ex_iterable=ex_iterable, + info=self._info.copy(), + split=self._split, + formatting=self._formatting, + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def _resolve_features(self): + if self.features is not None: + return self + elif self._ex_iterable.is_typed: + features = self._ex_iterable.features + else: + features = _infer_features_from_batch(self.with_format(None)._head()) + info = self.info.copy() + info.features = features + return IterableDataset( + ex_iterable=self._ex_iterable, + info=info, + split=self._split, + formatting=self._formatting, + shuffling=copy.deepcopy(self._shuffling), + distributed=copy.deepcopy(self._distributed), + token_per_repo_id=self._token_per_repo_id, + ) + + def batch(self, batch_size: int, drop_last_batch: bool = False) -> "IterableDataset": + """ + Group samples from the dataset into batches. + + Args: + batch_size (`int`): The number of samples in each batch. + drop_last_batch (`bool`, defaults to `False`): Whether to drop the last incomplete batch. + + Example: + ```py + >>> ds = load_dataset("some_dataset", streaming=True) + >>> batched_ds = ds.batch(batch_size=32) + ``` + """ + + def batch_fn(unbatched): + return {k: [v] for k, v in unbatched.items()} + + if self.features: + features = Features({col: [feature] for col, feature in self.features.items()}) + else: + features = None + return self.map( + batch_fn, batched=True, batch_size=batch_size, drop_last_batch=drop_last_batch, features=features + ) + + +def _concatenate_iterable_datasets( + dsets: list[IterableDataset], + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + axis: int = 0, +) -> IterableDataset: + """ + Converts a list of `IterableDataset` with the same schema into a single `IterableDataset`. + Missing data are filled with None values. + + + + Args: + dsets (`List[datasets.IterableDataset]`): List of Datasets to concatenate. + info (`DatasetInfo`, optional): Dataset information, like description, citation, etc. + split (`NamedSplit`, optional): Name of the dataset split. + axis (``{0, 1}``, default ``0``, meaning over rows): + Axis to concatenate over, where ``0`` means over rows (vertically) and ``1`` means over columns + (horizontally). + + *New in version 1.6.0* + + Example: + + ```py + >>> ds3 = _concatenate_iterable_datasets([ds1, ds2]) + ``` + """ + dsets = [d._resolve_features() for d in dsets] + + # Perform checks (and a potentional cast if axis=0) + if axis == 0: + _check_if_features_can_be_aligned([dset.features for dset in dsets]) + else: + _check_column_names([col_name for dset in dsets for col_name in dset.features]) + + # TODO: improve this to account for a mix of ClassLabel and Value for example + # right now it would keep the type of the first dataset in the list + features = Features( + {k: v for features in _align_features([dset.features for dset in dsets]) for k, v in features.items()} + ) + + ex_iterables = [copy.deepcopy(d._ex_iterable) for d in dsets] + if axis == 0: + ex_iterable = VerticallyConcatenatedMultiSourcesExamplesIterable(ex_iterables) + else: + ex_iterable = HorizontallyConcatenatedMultiSourcesExamplesIterable(ex_iterables) + # Set new info - we update the features + # setting the features also ensures to fill missing columns with None + if info is None: + info = DatasetInfo.from_merge([d.info for d in dsets]) + else: + info = info.copy() + info.features = features + # Get all the auth tokens per repository - in case the datasets come from different private repositories + token_per_repo_id = {repo_id: token for dataset in dsets for repo_id, token in dataset._token_per_repo_id.items()} + # Return new daset + return IterableDataset(ex_iterable=ex_iterable, info=info, split=split, token_per_repo_id=token_per_repo_id) + + +def _interleave_iterable_datasets( + datasets: list[IterableDataset], + probabilities: Optional[list[float]] = None, + seed: Optional[int] = None, + info: Optional[DatasetInfo] = None, + split: Optional[NamedSplit] = None, + stopping_strategy: Literal["first_exhausted", "all_exhausted"] = "first_exhausted", +) -> IterableDataset: + """ + Interleave several iterable datasets (sources) into a single iterable dataset. + The new iterable dataset alternates between the sources to yield examples. + If `probabilities = None` (default) the iterable dataset will cycles through the sources in order for each next example in the iteration. + If `probabilities` is not `None, the iterable dataset will sample a random source according to the provided probabilities for each next examples in the iteration. + + + + Args: + datasets (`List[IterableDataset]`): list of datasets to interleave + probabilities (`List[float]`, optional, default None): If specified, the new iterable dataset samples + examples from one source at a time according to these probabilities. + seed (`int`, optional, default None): The random seed used to choose a source for each example. + stopping_strategy (`str`, defaults to `first_exhausted`): + Two strategies are proposed right now. + By default, `first_exhausted` is an undersampling strategy, i.e the dataset construction is stopped as soon as one dataset has ran out of samples. + If the strategy is `all_exhausted`, we use an oversampling strategy, i.e the dataset construction is stopped as soon as every samples of every dataset has been added at least once. + Note that if the strategy is `all_exhausted`, the interleaved dataset size can get enormous: + - with no probabilities, the resulting dataset will have max_length_datasets*nb_dataset samples. + - with given probabilities, the resulting dataset will have more samples if some datasets have really low probability of visiting. + + Output: + `datasets.IterableDataset` + """ + datasets = [d._resolve_features() for d in datasets] + + # Perform checks + _check_if_features_can_be_aligned([dset.features for dset in datasets]) + + # TODO: improve this to account for a mix of ClassLabel and Value for example + # right now it would keep the type of the first dataset in the list + features = Features( + {k: v for features in _align_features([dset.features for dset in datasets]) for k, v in features.items()} + ) + + ex_iterables = [copy.deepcopy(d._ex_iterable) for d in datasets] + + # Use cycling or random cycling of sources + if probabilities is None: + ex_iterable = CyclingMultiSourcesExamplesIterable(ex_iterables, stopping_strategy=stopping_strategy) + else: + generator = np.random.default_rng(seed) + ex_iterable = RandomlyCyclingMultiSourcesExamplesIterable( + ex_iterables, generator=generator, probabilities=probabilities, stopping_strategy=stopping_strategy + ) + # Set new info - we update the features + # setting the features also ensures to fill missing columns with None + if info is None: + info = DatasetInfo.from_merge([d.info for d in datasets]) + else: + info = info.copy() + info.features = features + # Get all the auth tokens per repository - in case the datasets come from different private repositories + token_per_repo_id = { + repo_id: token for dataset in datasets for repo_id, token in dataset._token_per_repo_id.items() + } + # Return new daset + return IterableDataset(ex_iterable=ex_iterable, info=info, split=split, token_per_repo_id=token_per_repo_id) + + +def _split_by_node_iterable_dataset(dataset: IterableDataset, rank: int, world_size: int) -> IterableDataset: + """ + Split an iterable dataset for the node at rank `rank` in a pool of nodes of size `world_size`. + + If the dataset has a number of shards that is a factor of `world_size` (i.e. if `dataset.num_shards % world_size == 0`), + then the shards are evenly assigned across the nodes, which is the most optimized. + Otherwise, each node keeps 1 example out of `world_size`, skipping the other examples. + + Args: + dataset ([`IterableDataset`]): + The iterable dataset to split by node. + rank (`int`): + Rank of the current node. + world_size (`int`): + Total number of nodes. + + Returns: + [`IterableDataset`]: The iterable dataset to be used on the node at rank `rank`. + """ + if dataset._distributed: + rank = world_size * dataset._distributed.rank + rank + world_size = world_size * dataset._distributed.world_size + distributed = DistributedConfig(rank=rank, world_size=world_size) + return IterableDataset( + ex_iterable=dataset._ex_iterable, + info=dataset._info.copy(), + split=dataset._split, + formatting=dataset._formatting, + shuffling=copy.deepcopy(dataset._shuffling), + distributed=distributed, + token_per_repo_id=dataset._token_per_repo_id, + ) + + +async def _apply_async(pool, func, x): + future = pool.apply_async(func, (x,)) + while True: + if future.ready(): + return future.get() + else: + await asyncio.sleep(0) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/keyhash.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/keyhash.py new file mode 100644 index 0000000000000000000000000000000000000000..5ba2686e259868e19ee7439d21b995dfd4c8de51 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/keyhash.py @@ -0,0 +1,104 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 + +""" +Hashing function for dataset keys using `hashlib.md5` + +Requirements for the hash function: + +- Provides a uniformly distributed hash from random space +- Adequately fast speed +- Working with multiple input types (in this case, `str`, `int` or `bytes`) +- Should be platform independent (generates same hash on different OS and systems) + +The hashing function provides a unique 128-bit integer hash of the key provided. + +The split name is being used here as the hash salt to avoid having same hashes +in different splits due to same keys +""" + +from typing import Union + +from huggingface_hub.utils import insecure_hashlib + + +def _as_bytes(hash_data: Union[str, int, bytes, bytearray]) -> bytes: + """ + Returns the input hash_data in its bytes form + + Args: + hash_data: the hash salt/key to be converted to bytes + """ + if isinstance(hash_data, (bytes, bytearray)): + # Data already in bytes, returns as it as + return hash_data + elif isinstance(hash_data, str): + # We keep the data as it as for it ot be later encoded to UTF-8 + # However replace `\\` with `/` for Windows compatibility + hash_data = hash_data.replace("\\", "/") + elif isinstance(hash_data, int): + hash_data = str(hash_data) + else: + # If data is not of the required type, raise error + raise InvalidKeyError(hash_data) + + return hash_data.encode("utf-8") + + +class InvalidKeyError(Exception): + """Raises an error when given key is of invalid datatype.""" + + def __init__(self, hash_data): + self.prefix = "\nFAILURE TO GENERATE DATASET: Invalid key type detected" + self.err_msg = f"\nFound Key {hash_data} of type {type(hash_data)}" + self.suffix = "\nKeys should be either str, int or bytes type" + super().__init__(f"{self.prefix}{self.err_msg}{self.suffix}") + + +class DuplicatedKeysError(Exception): + """Raise an error when duplicate key found.""" + + def __init__(self, key, duplicate_key_indices, fix_msg=""): + self.key = key + self.duplicate_key_indices = duplicate_key_indices + self.fix_msg = fix_msg + self.prefix = "Found multiple examples generated with the same key" + if len(duplicate_key_indices) <= 20: + self.err_msg = f"\nThe examples at index {', '.join(duplicate_key_indices)} have the key {key}" + else: + self.err_msg = f"\nThe examples at index {', '.join(duplicate_key_indices[:20])}... ({len(duplicate_key_indices) - 20} more) have the key {key}" + self.suffix = "\n" + fix_msg if fix_msg else "" + super().__init__(f"{self.prefix}{self.err_msg}{self.suffix}") + + +class KeyHasher: + """KeyHasher class for providing hash using md5""" + + def __init__(self, hash_salt: str): + self._split_md5 = insecure_hashlib.md5(_as_bytes(hash_salt)) + + def hash(self, key: Union[str, int, bytes]) -> int: + """Returns 128-bits unique hash of input key + + Args: + key: the input key to be hashed (should be str, int or bytes) + + Returns: 128-bit int hash key""" + md5 = self._split_md5.copy() + byte_key = _as_bytes(key) + md5.update(byte_key) + # Convert to integer with hexadecimal conversion + return int(md5.hexdigest(), 16) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/load.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/load.py new file mode 100644 index 0000000000000000000000000000000000000000..98e5f3b0b8fb4c89a8dc3e626e504eb0b6205d5a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/load.py @@ -0,0 +1,2150 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""Access datasets.""" + +import filecmp +import glob +import importlib +import inspect +import json +import os +import posixpath +import shutil +import signal +import time +import warnings +from collections import Counter +from collections.abc import Mapping, Sequence +from contextlib import nullcontext +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any, Optional, Union + +import fsspec +import requests +import yaml +from fsspec.core import url_to_fs +from huggingface_hub import DatasetCard, DatasetCardData, HfApi +from huggingface_hub.utils import ( + EntryNotFoundError, + GatedRepoError, + LocalEntryNotFoundError, + OfflineModeIsEnabled, + RepositoryNotFoundError, + RevisionNotFoundError, + get_session, +) + +from . import __version__, config +from .arrow_dataset import Dataset +from .builder import BuilderConfig, DatasetBuilder +from .data_files import ( + DataFilesDict, + DataFilesList, + DataFilesPatternsDict, + EmptyDatasetError, + get_data_patterns, + sanitize_patterns, +) +from .dataset_dict import DatasetDict, IterableDatasetDict +from .download.download_config import DownloadConfig +from .download.download_manager import DownloadMode +from .download.streaming_download_manager import StreamingDownloadManager, xbasename, xglob, xjoin +from .exceptions import DataFilesNotFoundError, DatasetNotFoundError +from .features import Features +from .fingerprint import Hasher +from .info import DatasetInfo, DatasetInfosDict +from .iterable_dataset import IterableDataset +from .naming import camelcase_to_snakecase, snakecase_to_camelcase +from .packaged_modules import ( + _EXTENSION_TO_MODULE, + _MODULE_TO_EXTENSIONS, + _MODULE_TO_METADATA_FILE_NAMES, + _PACKAGED_DATASETS_MODULES, + _hash_python_lines, +) +from .packaged_modules.folder_based_builder.folder_based_builder import FolderBasedBuilder +from .splits import Split +from .utils import _dataset_viewer +from .utils.file_utils import ( + _raise_if_offline_mode_is_enabled, + cached_path, + get_datasets_user_agent, + init_hf_modules, + is_relative_path, + relative_to_absolute_path, + url_or_path_join, +) +from .utils.hub import hf_dataset_url +from .utils.info_utils import VerificationMode, is_small_dataset +from .utils.logging import get_logger +from .utils.metadata import MetadataConfigs +from .utils.py_utils import get_imports, lock_importable_file +from .utils.typing import PathLike +from .utils.version import Version + + +logger = get_logger(__name__) + +ALL_ALLOWED_EXTENSIONS = list(_EXTENSION_TO_MODULE.keys()) + [".zip"] + + +def _raise_timeout_error(signum, frame): + raise ValueError( + "Loading this dataset requires you to execute custom code contained in the dataset repository on your local " + "machine. Please set the option `trust_remote_code=True` to permit loading of this dataset." + ) + + +def resolve_trust_remote_code(trust_remote_code: Optional[bool], repo_id: str) -> bool: + """ + Copied and adapted from Transformers + https://github.com/huggingface/transformers/blob/2098d343cc4b4b9d2aea84b3cf1eb5a1e610deff/src/transformers/dynamic_module_utils.py#L589 + """ + trust_remote_code = trust_remote_code if trust_remote_code is not None else config.HF_DATASETS_TRUST_REMOTE_CODE + if trust_remote_code is None: + if config.TIME_OUT_REMOTE_CODE > 0: + try: + signal.signal(signal.SIGALRM, _raise_timeout_error) + signal.alarm(config.TIME_OUT_REMOTE_CODE) + while trust_remote_code is None: + answer = input( + f"The repository for {repo_id} contains custom code which must be executed to correctly " + f"load the dataset. You can inspect the repository content at https://hf.co/datasets/{repo_id}.\n" + f"You can avoid this prompt in future by passing the argument `trust_remote_code=True`.\n\n" + f"Do you wish to run the custom code? [y/N] " + ) + if answer.lower() in ["yes", "y", "1"]: + trust_remote_code = True + elif answer.lower() in ["no", "n", "0", ""]: + trust_remote_code = False + signal.alarm(0) + except Exception: + # OS which does not support signal.SIGALRM + raise ValueError( + f"The repository for {repo_id} contains custom code which must be executed to correctly " + f"load the dataset. You can inspect the repository content at https://hf.co/datasets/{repo_id}.\n" + f"Please pass the argument `trust_remote_code=True` to allow custom code to be run." + ) + else: + # For the CI which might put the timeout at 0 + _raise_timeout_error(None, None) + return trust_remote_code + + +def init_dynamic_modules( + name: str = config.MODULE_NAME_FOR_DYNAMIC_MODULES, hf_modules_cache: Optional[Union[Path, str]] = None +): + """ + Create a module with name `name` in which you can add dynamic modules + such as datasets. The module can be imported using its name. + The module is created in the HF_MODULE_CACHE directory by default (~/.cache/huggingface/modules) but it can + be overridden by specifying a path to another directory in `hf_modules_cache`. + """ + hf_modules_cache = init_hf_modules(hf_modules_cache) + dynamic_modules_path = os.path.join(hf_modules_cache, name) + os.makedirs(dynamic_modules_path, exist_ok=True) + if not os.path.exists(os.path.join(dynamic_modules_path, "__init__.py")): + with open(os.path.join(dynamic_modules_path, "__init__.py"), "w"): + pass + return dynamic_modules_path + + +def import_main_class(module_path) -> Optional[type[DatasetBuilder]]: + """Import a module at module_path and return its main class: a DatasetBuilder""" + module = importlib.import_module(module_path) + # Find the main class in our imported module + module_main_cls = None + for name, obj in module.__dict__.items(): + if inspect.isclass(obj) and issubclass(obj, DatasetBuilder): + if inspect.isabstract(obj): + continue + module_main_cls = obj + obj_module = inspect.getmodule(obj) + if obj_module is not None and module == obj_module: + break + + return module_main_cls + + +class _InitializeConfiguredDatasetBuilder: + """ + From https://stackoverflow.com/questions/4647566/pickle-a-dynamically-parameterized-sub-class + See also ConfiguredDatasetBuilder.__reduce__ + When called with the param value as the only argument, returns an + un-initialized instance of the parameterized class. Subsequent __setstate__ + will be called by pickle. + """ + + def __call__(self, builder_cls, metadata_configs, default_config_name, name): + # make a simple object which has no complex __init__ (this one will do) + obj = _InitializeConfiguredDatasetBuilder() + obj.__class__ = configure_builder_class( + builder_cls, metadata_configs, default_config_name=default_config_name, dataset_name=name + ) + return obj + + +def configure_builder_class( + builder_cls: type[DatasetBuilder], + builder_configs: list[BuilderConfig], + default_config_name: Optional[str], + dataset_name: str, +) -> type[DatasetBuilder]: + """ + Dynamically create a builder class with custom builder configs parsed from README.md file, + i.e. set BUILDER_CONFIGS class variable of a builder class to custom configs list. + """ + + class ConfiguredDatasetBuilder(builder_cls): + BUILDER_CONFIGS = builder_configs + DEFAULT_CONFIG_NAME = default_config_name + + __module__ = builder_cls.__module__ # so that the actual packaged builder can be imported + + def __reduce__(self): # to make dynamically created class pickable, see _InitializeParameterizedDatasetBuilder + parent_builder_cls = self.__class__.__mro__[1] + return ( + _InitializeConfiguredDatasetBuilder(), + ( + parent_builder_cls, + self.BUILDER_CONFIGS, + self.DEFAULT_CONFIG_NAME, + self.dataset_name, + ), + self.__dict__.copy(), + ) + + ConfiguredDatasetBuilder.__name__ = ( + f"{builder_cls.__name__.lower().capitalize()}{snakecase_to_camelcase(dataset_name)}" + ) + ConfiguredDatasetBuilder.__qualname__ = ( + f"{builder_cls.__name__.lower().capitalize()}{snakecase_to_camelcase(dataset_name)}" + ) + + return ConfiguredDatasetBuilder + + +def get_dataset_builder_class( + dataset_module: "DatasetModule", dataset_name: Optional[str] = None +) -> type[DatasetBuilder]: + with ( + lock_importable_file(dataset_module.importable_file_path) + if dataset_module.importable_file_path + else nullcontext() + ): + builder_cls = import_main_class(dataset_module.module_path) + if dataset_module.builder_configs_parameters.builder_configs: + dataset_name = dataset_name or dataset_module.builder_kwargs.get("dataset_name") + if dataset_name is None: + raise ValueError("dataset_name should be specified but got None") + builder_cls = configure_builder_class( + builder_cls, + builder_configs=dataset_module.builder_configs_parameters.builder_configs, + default_config_name=dataset_module.builder_configs_parameters.default_config_name, + dataset_name=dataset_name, + ) + return builder_cls + + +def files_to_hash(file_paths: list[str]) -> str: + """ + Convert a list of scripts or text files provided in file_paths into a hashed filename in a repeatable way. + """ + # List all python files in directories if directories are supplied as part of external imports + to_use_files: list[Union[Path, str]] = [] + for file_path in file_paths: + if os.path.isdir(file_path): + to_use_files.extend(list(Path(file_path).rglob("*.[pP][yY]"))) + else: + to_use_files.append(file_path) + + # Get the code from all these files + lines = [] + for file_path in to_use_files: + with open(file_path, encoding="utf-8") as f: + lines.extend(f.readlines()) + return _hash_python_lines(lines) + + +def increase_load_count(name: str): + """Update the download count of a dataset.""" + if not config.HF_HUB_OFFLINE and config.HF_UPDATE_DOWNLOAD_COUNTS: + try: + get_session().head( + "/".join((config.S3_DATASETS_BUCKET_PREFIX, name, name + ".py")), + headers={"User-Agent": get_datasets_user_agent()}, + timeout=3, + ) + except Exception: + pass + + +def _download_additional_modules( + name: str, base_path: str, imports: tuple[str, str, str, str], download_config: Optional[DownloadConfig] +) -> tuple[list[tuple[str, str]], list[tuple[str, str]]]: + """ + Download additional module for a module .py at URL (or local path) /.py + The imports must have been parsed first using ``get_imports``. + + If some modules need to be installed with pip, an error is raised showing how to install them. + This function return the list of downloaded modules as tuples (import_name, module_file_path). + + The downloaded modules can then be moved into an importable directory with ``_copy_script_and_other_resources_in_importable_dir``. + """ + local_imports = [] + library_imports = [] + download_config = download_config.copy() + if download_config.download_desc is None: + download_config.download_desc = "Downloading extra modules" + for import_type, import_name, import_path, sub_directory in imports: + if import_type == "library": + library_imports.append((import_name, import_path)) # Import from a library + continue + + if import_name == name: + raise ValueError( + f"Error in the {name} script, importing relative {import_name} module " + f"but {import_name} is the name of the script. " + f"Please change relative import {import_name} to another name and add a '# From: URL_OR_PATH' " + f"comment pointing to the original relative import file path." + ) + if import_type == "internal": + url_or_filename = url_or_path_join(base_path, import_path + ".py") + elif import_type == "external": + url_or_filename = import_path + else: + raise ValueError("Wrong import_type") + + local_import_path = cached_path( + url_or_filename, + download_config=download_config, + ) + if sub_directory is not None: + local_import_path = os.path.join(local_import_path, sub_directory) + local_imports.append((import_name, local_import_path)) + + return local_imports, library_imports + + +def _check_library_imports(name: str, library_imports: list[tuple[str, str]]) -> None: + # Check library imports + needs_to_be_installed = {} + for library_import_name, library_import_path in library_imports: + try: + lib = importlib.import_module(library_import_name) # noqa F841 + except ImportError: + if library_import_name not in needs_to_be_installed or library_import_path != library_import_name: + needs_to_be_installed[library_import_name] = library_import_path + if needs_to_be_installed: + _dependencies_str = "dependencies" if len(needs_to_be_installed) > 1 else "dependency" + _them_str = "them" if len(needs_to_be_installed) > 1 else "it" + if "sklearn" in needs_to_be_installed.keys(): + needs_to_be_installed["sklearn"] = "scikit-learn" + if "Bio" in needs_to_be_installed.keys(): + needs_to_be_installed["Bio"] = "biopython" + raise ImportError( + f"To be able to use {name}, you need to install the following {_dependencies_str}: " + f"{', '.join(needs_to_be_installed)}.\nPlease install {_them_str} using 'pip install " + f"{' '.join(needs_to_be_installed.values())}' for instance." + ) + + +def _copy_script_and_other_resources_in_importable_dir( + name: str, + importable_directory_path: str, + subdirectory_name: str, + original_local_path: str, + local_imports: list[tuple[str, str]], + additional_files: list[tuple[str, str]], + download_mode: Optional[Union[DownloadMode, str]], +) -> str: + """Copy a script and its required imports to an importable directory + + Args: + name (str): name of the resource to load + importable_directory_path (str): path to the loadable folder in the dynamic modules directory + subdirectory_name (str): name of the subdirectory in importable_directory_path in which to place the script + original_local_path (str): local path to the resource script + local_imports (List[Tuple[str, str]]): list of (destination_filename, import_file_to_copy) + additional_files (List[Tuple[str, str]]): list of (destination_filename, additional_file_to_copy) + download_mode (Optional[Union[DownloadMode, str]]): download mode + + Return: + importable_file: path to an importable module with importlib.import_module + """ + # Define a directory with a unique name in our dataset folder + # path is: ./datasets/dataset_name/hash_from_code/script.py + # we use a hash as subdirectory_name to be able to have multiple versions of a dataset processing file together + importable_subdirectory = os.path.join(importable_directory_path, subdirectory_name) + importable_file = os.path.join(importable_subdirectory, name + ".py") + # Prevent parallel disk operations + with lock_importable_file(importable_file): + # Create main dataset folder if needed + if download_mode == DownloadMode.FORCE_REDOWNLOAD and os.path.exists(importable_directory_path): + shutil.rmtree(importable_directory_path) + os.makedirs(importable_directory_path, exist_ok=True) + + # add an __init__ file to the main dataset folder if needed + init_file_path = os.path.join(importable_directory_path, "__init__.py") + if not os.path.exists(init_file_path): + with open(init_file_path, "w"): + pass + + # Create hash dataset folder if needed + os.makedirs(importable_subdirectory, exist_ok=True) + # add an __init__ file to the hash dataset folder if needed + init_file_path = os.path.join(importable_subdirectory, "__init__.py") + if not os.path.exists(init_file_path): + with open(init_file_path, "w"): + pass + + # Copy dataset.py file in hash folder if needed + if not os.path.exists(importable_file): + shutil.copyfile(original_local_path, importable_file) + # Record metadata associating original dataset path with local unique folder + # Use os.path.splitext to split extension from importable_local_file + meta_path = os.path.splitext(importable_file)[0] + ".json" + if not os.path.exists(meta_path): + meta = {"original file path": original_local_path, "local file path": importable_file} + # the filename is *.py in our case, so better rename to filename.json instead of filename.py.json + with open(meta_path, "w", encoding="utf-8") as meta_file: + json.dump(meta, meta_file) + + # Copy all the additional imports + for import_name, import_path in local_imports: + if os.path.isfile(import_path): + full_path_local_import = os.path.join(importable_subdirectory, import_name + ".py") + if not os.path.exists(full_path_local_import): + shutil.copyfile(import_path, full_path_local_import) + elif os.path.isdir(import_path): + full_path_local_import = os.path.join(importable_subdirectory, import_name) + if not os.path.exists(full_path_local_import): + shutil.copytree(import_path, full_path_local_import) + else: + raise ImportError(f"Error with local import at {import_path}") + + # Copy additional files like dataset_infos.json file if needed + for file_name, original_path in additional_files: + destination_additional_path = os.path.join(importable_subdirectory, file_name) + if not os.path.exists(destination_additional_path) or not filecmp.cmp( + original_path, destination_additional_path + ): + shutil.copyfile(original_path, destination_additional_path) + return importable_file + + +def _get_importable_file_path( + dynamic_modules_path: str, + module_namespace: str, + subdirectory_name: str, + name: str, +) -> str: + importable_directory_path = os.path.join(dynamic_modules_path, module_namespace, name.replace("/", "--")) + return os.path.join(importable_directory_path, subdirectory_name, name.split("/")[-1] + ".py") + + +def _create_importable_file( + local_path: str, + local_imports: list[tuple[str, str]], + additional_files: list[tuple[str, str]], + dynamic_modules_path: str, + module_namespace: str, + subdirectory_name: str, + name: str, + download_mode: DownloadMode, +) -> None: + importable_directory_path = os.path.join(dynamic_modules_path, module_namespace, name.replace("/", "--")) + Path(importable_directory_path).mkdir(parents=True, exist_ok=True) + (Path(importable_directory_path).parent / "__init__.py").touch(exist_ok=True) + importable_local_file = _copy_script_and_other_resources_in_importable_dir( + name=name.split("/")[-1], + importable_directory_path=importable_directory_path, + subdirectory_name=subdirectory_name, + original_local_path=local_path, + local_imports=local_imports, + additional_files=additional_files, + download_mode=download_mode, + ) + logger.debug(f"Created importable dataset file at {importable_local_file}") + + +def _load_importable_file( + dynamic_modules_path: str, + module_namespace: str, + subdirectory_name: str, + name: str, +) -> tuple[str, str]: + module_path = ".".join( + [ + os.path.basename(dynamic_modules_path), + module_namespace, + name.replace("/", "--"), + subdirectory_name, + name.split("/")[-1], + ] + ) + return module_path, subdirectory_name + + +def infer_module_for_data_files_list( + data_files_list: DataFilesList, download_config: Optional[DownloadConfig] = None +) -> tuple[Optional[str], dict]: + """Infer module (and builder kwargs) from list of data files. + + It picks the module based on the most common file extension. + In case of a draw ".parquet" is the favorite, and then alphabetical order. + + Args: + data_files_list (DataFilesList): List of data files. + download_config (bool or str, optional): Mainly use `token` or `storage_options` to support different platforms and auth types. + + Returns: + tuple[str, dict[str, Any]]: Tuple with + - inferred module name + - dict of builder kwargs + """ + extensions_counter = Counter( + ("." + suffix.lower(), xbasename(filepath) in FolderBasedBuilder.METADATA_FILENAMES) + for filepath in data_files_list[: config.DATA_FILES_MAX_NUMBER_FOR_MODULE_INFERENCE] + for suffix in xbasename(filepath).split(".")[1:] + ) + if extensions_counter: + + def sort_key(ext_count: tuple[tuple[str, bool], int]) -> tuple[int, bool]: + """Sort by count and set ".parquet" as the favorite in case of a draw, and ignore metadata files""" + (ext, is_metadata), count = ext_count + return (not is_metadata, count, ext == ".parquet", ext == ".jsonl", ext == ".json", ext == ".csv", ext) + + for (ext, _), _ in sorted(extensions_counter.items(), key=sort_key, reverse=True): + if ext in _EXTENSION_TO_MODULE: + return _EXTENSION_TO_MODULE[ext] + elif ext == ".zip": + return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config) + return None, {} + + +def infer_module_for_data_files_list_in_archives( + data_files_list: DataFilesList, download_config: Optional[DownloadConfig] = None +) -> tuple[Optional[str], dict]: + """Infer module (and builder kwargs) from list of archive data files. + + Args: + data_files_list (DataFilesList): List of data files. + download_config (bool or str, optional): Mainly use `token` or `storage_options` to support different platforms and auth types. + + Returns: + tuple[str, dict[str, Any]]: Tuple with + - inferred module name + - dict of builder kwargs + """ + archived_files = [] + archive_files_counter = 0 + for filepath in data_files_list: + if str(filepath).endswith(".zip"): + archive_files_counter += 1 + if archive_files_counter > config.GLOBBED_DATA_FILES_MAX_NUMBER_FOR_MODULE_INFERENCE: + break + extracted = xjoin(StreamingDownloadManager().extract(filepath), "**") + archived_files += [ + f.split("::")[0] + for f in xglob(extracted, recursive=True, download_config=download_config)[ + : config.ARCHIVED_DATA_FILES_MAX_NUMBER_FOR_MODULE_INFERENCE + ] + ] + extensions_counter = Counter( + "." + suffix.lower() for filepath in archived_files for suffix in xbasename(filepath).split(".")[1:] + ) + if extensions_counter: + most_common = extensions_counter.most_common(1)[0][0] + if most_common in _EXTENSION_TO_MODULE: + return _EXTENSION_TO_MODULE[most_common] + return None, {} + + +def infer_module_for_data_files( + data_files: DataFilesDict, path: Optional[str] = None, download_config: Optional[DownloadConfig] = None +) -> tuple[Optional[str], dict[str, Any]]: + """Infer module (and builder kwargs) from data files. Raise if module names for different splits don't match. + + Args: + data_files ([`DataFilesDict`]): Dict of list of data files. + path (str, *optional*): Dataset name or path. + download_config ([`DownloadConfig`], *optional*): + Specific download configuration parameters to authenticate on the Hugging Face Hub for private remote files. + + Returns: + tuple[str, dict[str, Any]]: Tuple with + - inferred module name + - builder kwargs + """ + split_modules = { + split: infer_module_for_data_files_list(data_files_list, download_config=download_config) + for split, data_files_list in data_files.items() + } + module_name, default_builder_kwargs = next(iter(split_modules.values())) + if any((module_name, default_builder_kwargs) != split_module for split_module in split_modules.values()): + raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}") + if not module_name: + raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else "")) + return module_name, default_builder_kwargs + + +def create_builder_configs_from_metadata_configs( + module_path: str, + metadata_configs: MetadataConfigs, + base_path: Optional[str] = None, + default_builder_kwargs: dict[str, Any] = None, + download_config: Optional[DownloadConfig] = None, +) -> tuple[list[BuilderConfig], str]: + builder_cls = import_main_class(module_path) + builder_config_cls = builder_cls.BUILDER_CONFIG_CLASS + default_config_name = metadata_configs.get_default_config_name() + builder_configs = [] + default_builder_kwargs = {} if default_builder_kwargs is None else default_builder_kwargs + + base_path = base_path if base_path is not None else "" + for config_name, config_params in metadata_configs.items(): + config_data_files = config_params.get("data_files") + config_data_dir = config_params.get("data_dir") + config_base_path = xjoin(base_path, config_data_dir) if config_data_dir else base_path + try: + config_patterns = ( + sanitize_patterns(config_data_files) + if config_data_files is not None + else get_data_patterns(config_base_path, download_config=download_config) + ) + config_data_files_dict = DataFilesPatternsDict.from_patterns( + config_patterns, + allowed_extensions=ALL_ALLOWED_EXTENSIONS, + ) + except EmptyDatasetError as e: + raise EmptyDatasetError( + f"Dataset at '{base_path}' doesn't contain data files matching the patterns for config '{config_name}'," + f" check `data_files` and `data_fir` parameters in the `configs` YAML field in README.md. " + ) from e + ignored_params = [ + param for param in config_params if not hasattr(builder_config_cls, param) and param != "default" + ] + if ignored_params: + logger.warning( + f"Some datasets params were ignored: {ignored_params}. " + "Make sure to use only valid params for the dataset builder and to have " + "a up-to-date version of the `datasets` library." + ) + builder_configs.append( + builder_config_cls( + name=config_name, + data_files=config_data_files_dict, + data_dir=config_data_dir, + **{ + param: value + for param, value in {**default_builder_kwargs, **config_params}.items() + if hasattr(builder_config_cls, param) and param not in ("default", "data_files", "data_dir") + }, + ) + ) + return builder_configs, default_config_name + + +@dataclass +class BuilderConfigsParameters: + """Dataclass containing objects related to creation of builder configurations from yaml's metadata content. + + Attributes: + metadata_configs (`MetadataConfigs`, *optional*): + Configs parsed from yaml's metadata. + builder_configs (`list[BuilderConfig]`, *optional*): + List of BuilderConfig objects created from metadata_configs above. + default_config_name (`str`): + Name of default config taken from yaml's metadata. + """ + + metadata_configs: Optional[MetadataConfigs] = None + builder_configs: Optional[list[BuilderConfig]] = None + default_config_name: Optional[str] = None + + +@dataclass +class DatasetModule: + module_path: str + hash: str + builder_kwargs: dict + builder_configs_parameters: BuilderConfigsParameters = field(default_factory=BuilderConfigsParameters) + dataset_infos: Optional[DatasetInfosDict] = None + importable_file_path: Optional[str] = None + + +class _DatasetModuleFactory: + def get_module(self) -> DatasetModule: + raise NotImplementedError + + +class LocalDatasetModuleFactoryWithScript(_DatasetModuleFactory): + """Get the module of a local dataset. The dataset script is loaded from a local script.""" + + def __init__( + self, + path: str, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + dynamic_modules_path: Optional[str] = None, + trust_remote_code: Optional[bool] = None, + ): + self.path = path + self.name = Path(path).stem + self.download_config = download_config or DownloadConfig() + self.download_mode = download_mode + self.dynamic_modules_path = dynamic_modules_path + self.trust_remote_code = trust_remote_code + + def get_module(self) -> DatasetModule: + if config.HF_DATASETS_TRUST_REMOTE_CODE and self.trust_remote_code is None: + warnings.warn( + f"The repository for {self.name} contains custom code which must be executed to correctly " + f"load the dataset. You can inspect the repository content at {self.path}\n" + f"You can avoid this message in future by passing the argument `trust_remote_code=True`.\n" + f"Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.", + FutureWarning, + ) + # get script and other files + dataset_infos_path = Path(self.path).parent / config.DATASETDICT_INFOS_FILENAME + dataset_readme_path = Path(self.path).parent / config.REPOCARD_FILENAME + imports = get_imports(self.path) + local_imports, library_imports = _download_additional_modules( + name=self.name, + base_path=str(Path(self.path).parent), + imports=imports, + download_config=self.download_config, + ) + additional_files = [] + if dataset_infos_path.is_file(): + additional_files.append((config.DATASETDICT_INFOS_FILENAME, str(dataset_infos_path))) + if dataset_readme_path.is_file(): + additional_files.append((config.REPOCARD_FILENAME, dataset_readme_path)) + # copy the script and the files in an importable directory + dynamic_modules_path = self.dynamic_modules_path if self.dynamic_modules_path else init_dynamic_modules() + hash = files_to_hash([self.path] + [loc[1] for loc in local_imports]) + importable_file_path = _get_importable_file_path( + dynamic_modules_path=dynamic_modules_path, + module_namespace="datasets", + subdirectory_name=hash, + name=self.name, + ) + if not os.path.exists(importable_file_path): + trust_remote_code = resolve_trust_remote_code(self.trust_remote_code, self.name) + if trust_remote_code: + _create_importable_file( + local_path=self.path, + local_imports=local_imports, + additional_files=additional_files, + dynamic_modules_path=dynamic_modules_path, + module_namespace="datasets", + subdirectory_name=hash, + name=self.name, + download_mode=self.download_mode, + ) + else: + raise ValueError( + f"Loading {self.name} requires you to execute the dataset script in that" + " repo on your local machine. Make sure you have read the code there to avoid malicious use, then" + " set the option `trust_remote_code=True` to remove this error." + ) + _check_library_imports(name=self.name, library_imports=library_imports) + module_path, hash = _load_importable_file( + dynamic_modules_path=dynamic_modules_path, + module_namespace="datasets", + subdirectory_name=hash, + name=self.name, + ) + + # make the new module to be noticed by the import system + importlib.invalidate_caches() + builder_kwargs = {"base_path": str(Path(self.path).parent)} + return DatasetModule(module_path, hash, builder_kwargs, importable_file_path=importable_file_path) + + +class LocalDatasetModuleFactoryWithoutScript(_DatasetModuleFactory): + """Get the module of a dataset loaded from the user's data files. The dataset builder module to use is inferred + from the data files extensions.""" + + def __init__( + self, + path: str, + data_dir: Optional[str] = None, + data_files: Optional[Union[str, list, dict]] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + ): + if data_dir and os.path.isabs(data_dir): + raise ValueError(f"`data_dir` must be relative to a dataset directory's root: {path}") + + self.path = Path(path).as_posix() + self.name = Path(path).stem + self.data_files = data_files + self.data_dir = data_dir + self.download_mode = download_mode + + def get_module(self) -> DatasetModule: + readme_path = os.path.join(self.path, config.REPOCARD_FILENAME) + standalone_yaml_path = os.path.join(self.path, config.REPOYAML_FILENAME) + dataset_card_data = DatasetCard.load(readme_path).data if os.path.isfile(readme_path) else DatasetCardData() + if os.path.exists(standalone_yaml_path): + with open(standalone_yaml_path, encoding="utf-8") as f: + standalone_yaml_data = yaml.safe_load(f.read()) + if standalone_yaml_data: + _dataset_card_data_dict = dataset_card_data.to_dict() + _dataset_card_data_dict.update(standalone_yaml_data) + dataset_card_data = DatasetCardData(**_dataset_card_data_dict) + metadata_configs = MetadataConfigs.from_dataset_card_data(dataset_card_data) + dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data) + # we need a set of data files to find which dataset builder to use + # because we need to infer module name by files extensions + base_path = Path(self.path, self.data_dir or "").expanduser().resolve().as_posix() + if self.data_files is not None: + patterns = sanitize_patterns(self.data_files) + elif metadata_configs and not self.data_dir and "data_files" in next(iter(metadata_configs.values())): + patterns = sanitize_patterns(next(iter(metadata_configs.values()))["data_files"]) + else: + patterns = get_data_patterns(base_path) + data_files = DataFilesDict.from_patterns( + patterns, + base_path=base_path, + allowed_extensions=ALL_ALLOWED_EXTENSIONS, + ) + module_name, default_builder_kwargs = infer_module_for_data_files( + data_files=data_files, + path=self.path, + ) + data_files = data_files.filter( + extensions=_MODULE_TO_EXTENSIONS[module_name], file_names=_MODULE_TO_METADATA_FILE_NAMES[module_name] + ) + module_path, _ = _PACKAGED_DATASETS_MODULES[module_name] + if metadata_configs: + builder_configs, default_config_name = create_builder_configs_from_metadata_configs( + module_path, + metadata_configs, + base_path=base_path, + default_builder_kwargs=default_builder_kwargs, + ) + else: + builder_configs: list[BuilderConfig] = [ + import_main_class(module_path).BUILDER_CONFIG_CLASS( + data_files=data_files, + **default_builder_kwargs, + ) + ] + default_config_name = None + builder_kwargs = { + "base_path": self.path, + "dataset_name": camelcase_to_snakecase(Path(self.path).name), + } + if self.data_dir: + builder_kwargs["data_files"] = data_files + # this file is deprecated and was created automatically in old versions of push_to_hub + if os.path.isfile(os.path.join(self.path, config.DATASETDICT_INFOS_FILENAME)): + with open(os.path.join(self.path, config.DATASETDICT_INFOS_FILENAME), encoding="utf-8") as f: + legacy_dataset_infos = DatasetInfosDict( + { + config_name: DatasetInfo.from_dict(dataset_info_dict) + for config_name, dataset_info_dict in json.load(f).items() + } + ) + if len(legacy_dataset_infos) == 1: + # old config e.g. named "username--dataset_name" + legacy_config_name = next(iter(legacy_dataset_infos)) + legacy_dataset_infos["default"] = legacy_dataset_infos.pop(legacy_config_name) + legacy_dataset_infos.update(dataset_infos) + dataset_infos = legacy_dataset_infos + if default_config_name is None and len(dataset_infos) == 1: + default_config_name = next(iter(dataset_infos)) + + hash = Hasher.hash({"dataset_infos": dataset_infos, "builder_configs": builder_configs}) + return DatasetModule( + module_path, + hash, + builder_kwargs, + dataset_infos=dataset_infos, + builder_configs_parameters=BuilderConfigsParameters( + metadata_configs=metadata_configs, + builder_configs=builder_configs, + default_config_name=default_config_name, + ), + ) + + +class PackagedDatasetModuleFactory(_DatasetModuleFactory): + """Get the dataset builder module from the ones that are packaged with the library: csv, json, etc.""" + + def __init__( + self, + name: str, + data_dir: Optional[str] = None, + data_files: Optional[Union[str, list, dict]] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + ): + self.name = name + self.data_files = data_files + self.data_dir = data_dir + self.download_config = download_config + self.download_mode = download_mode + increase_load_count(name) + + def get_module(self) -> DatasetModule: + base_path = Path(self.data_dir or "").expanduser().resolve().as_posix() + patterns = ( + sanitize_patterns(self.data_files) + if self.data_files is not None + else get_data_patterns(base_path, download_config=self.download_config) + ) + data_files = DataFilesDict.from_patterns( + patterns, + download_config=self.download_config, + base_path=base_path, + ) + + module_path, hash = _PACKAGED_DATASETS_MODULES[self.name] + + builder_kwargs = { + "data_files": data_files, + "dataset_name": self.name, + } + + return DatasetModule(module_path, hash, builder_kwargs) + + +class HubDatasetModuleFactoryWithoutScript(_DatasetModuleFactory): + """ + Get the module of a dataset loaded from data files of a dataset repository. + The dataset builder module to use is inferred from the data files extensions. + """ + + def __init__( + self, + name: str, + commit_hash: str, + data_dir: Optional[str] = None, + data_files: Optional[Union[str, list, dict]] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + use_exported_dataset_infos: bool = False, + ): + self.name = name + self.commit_hash = commit_hash + self.data_files = data_files + self.data_dir = data_dir + self.download_config = download_config or DownloadConfig() + self.download_mode = download_mode + self.use_exported_dataset_infos = use_exported_dataset_infos + increase_load_count(name) + + def get_module(self) -> DatasetModule: + # Get the Dataset Card and fix the revision in case there are new commits in the meantime + api = HfApi( + endpoint=config.HF_ENDPOINT, + token=self.download_config.token, + library_name="datasets", + library_version=__version__, + user_agent=get_datasets_user_agent(self.download_config.user_agent), + ) + try: + dataset_readme_path = api.hf_hub_download( + repo_id=self.name, + filename=config.REPOCARD_FILENAME, + repo_type="dataset", + revision=self.commit_hash, + proxies=self.download_config.proxies, + ) + dataset_card_data = DatasetCard.load(dataset_readme_path).data + except EntryNotFoundError: + dataset_card_data = DatasetCardData() + download_config = self.download_config.copy() + if download_config.download_desc is None: + download_config.download_desc = "Downloading standalone yaml" + try: + standalone_yaml_path = cached_path( + hf_dataset_url(self.name, config.REPOYAML_FILENAME, revision=self.commit_hash), + download_config=download_config, + ) + with open(standalone_yaml_path, encoding="utf-8") as f: + standalone_yaml_data = yaml.safe_load(f.read()) + if standalone_yaml_data: + _dataset_card_data_dict = dataset_card_data.to_dict() + _dataset_card_data_dict.update(standalone_yaml_data) + dataset_card_data = DatasetCardData(**_dataset_card_data_dict) + except FileNotFoundError: + pass + base_path = f"hf://datasets/{self.name}@{self.commit_hash}/{self.data_dir or ''}".rstrip("/") + metadata_configs = MetadataConfigs.from_dataset_card_data(dataset_card_data) + dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data) + if config.USE_PARQUET_EXPORT and self.use_exported_dataset_infos: + try: + exported_dataset_infos = _dataset_viewer.get_exported_dataset_infos( + dataset=self.name, commit_hash=self.commit_hash, token=self.download_config.token + ) + exported_dataset_infos = DatasetInfosDict( + { + config_name: DatasetInfo.from_dict(exported_dataset_infos[config_name]) + for config_name in exported_dataset_infos + } + ) + except _dataset_viewer.DatasetViewerError: + exported_dataset_infos = None + else: + exported_dataset_infos = None + if exported_dataset_infos: + exported_dataset_infos.update(dataset_infos) + dataset_infos = exported_dataset_infos + # we need a set of data files to find which dataset builder to use + # because we need to infer module name by files extensions + if self.data_files is not None: + patterns = sanitize_patterns(self.data_files) + elif metadata_configs and not self.data_dir and "data_files" in next(iter(metadata_configs.values())): + patterns = sanitize_patterns(next(iter(metadata_configs.values()))["data_files"]) + else: + patterns = get_data_patterns(base_path, download_config=self.download_config) + data_files = DataFilesDict.from_patterns( + patterns, + base_path=base_path, + allowed_extensions=ALL_ALLOWED_EXTENSIONS, + download_config=self.download_config, + ) + module_name, default_builder_kwargs = infer_module_for_data_files( + data_files=data_files, + path=self.name, + download_config=self.download_config, + ) + data_files = data_files.filter( + extensions=_MODULE_TO_EXTENSIONS[module_name], file_names=_MODULE_TO_METADATA_FILE_NAMES[module_name] + ) + module_path, _ = _PACKAGED_DATASETS_MODULES[module_name] + if metadata_configs: + builder_configs, default_config_name = create_builder_configs_from_metadata_configs( + module_path, + metadata_configs, + base_path=base_path, + default_builder_kwargs=default_builder_kwargs, + download_config=self.download_config, + ) + else: + builder_configs: list[BuilderConfig] = [ + import_main_class(module_path).BUILDER_CONFIG_CLASS( + data_files=data_files, + **default_builder_kwargs, + ) + ] + default_config_name = None + builder_kwargs = { + "base_path": hf_dataset_url(self.name, "", revision=self.commit_hash).rstrip("/"), + "repo_id": self.name, + "dataset_name": camelcase_to_snakecase(Path(self.name).name), + } + if self.data_dir: + builder_kwargs["data_files"] = data_files + download_config = self.download_config.copy() + if download_config.download_desc is None: + download_config.download_desc = "Downloading metadata" + try: + # this file is deprecated and was created automatically in old versions of push_to_hub + dataset_infos_path = cached_path( + hf_dataset_url(self.name, config.DATASETDICT_INFOS_FILENAME, revision=self.commit_hash), + download_config=download_config, + ) + with open(dataset_infos_path, encoding="utf-8") as f: + legacy_dataset_infos = DatasetInfosDict( + { + config_name: DatasetInfo.from_dict(dataset_info_dict) + for config_name, dataset_info_dict in json.load(f).items() + } + ) + if len(legacy_dataset_infos) == 1: + # old config e.g. named "username--dataset_name" + legacy_config_name = next(iter(legacy_dataset_infos)) + legacy_dataset_infos["default"] = legacy_dataset_infos.pop(legacy_config_name) + legacy_dataset_infos.update(dataset_infos) + dataset_infos = legacy_dataset_infos + except FileNotFoundError: + pass + if default_config_name is None and len(dataset_infos) == 1: + default_config_name = next(iter(dataset_infos)) + + return DatasetModule( + module_path, + self.commit_hash, + builder_kwargs, + dataset_infos=dataset_infos, + builder_configs_parameters=BuilderConfigsParameters( + metadata_configs=metadata_configs, + builder_configs=builder_configs, + default_config_name=default_config_name, + ), + ) + + +class HubDatasetModuleFactoryWithParquetExport(_DatasetModuleFactory): + """ + Get the module of a dataset loaded from parquet files of a dataset repository parquet export. + """ + + def __init__( + self, + name: str, + commit_hash: str, + download_config: Optional[DownloadConfig] = None, + ): + self.name = name + self.commit_hash = commit_hash + self.download_config = download_config or DownloadConfig() + increase_load_count(name) + + def get_module(self) -> DatasetModule: + exported_parquet_files = _dataset_viewer.get_exported_parquet_files( + dataset=self.name, commit_hash=self.commit_hash, token=self.download_config.token + ) + exported_dataset_infos = _dataset_viewer.get_exported_dataset_infos( + dataset=self.name, commit_hash=self.commit_hash, token=self.download_config.token + ) + dataset_infos = DatasetInfosDict( + { + config_name: DatasetInfo.from_dict(exported_dataset_infos[config_name]) + for config_name in exported_dataset_infos + } + ) + parquet_commit_hash = ( + HfApi( + endpoint=config.HF_ENDPOINT, + token=self.download_config.token, + library_name="datasets", + library_version=__version__, + user_agent=get_datasets_user_agent(self.download_config.user_agent), + ) + .dataset_info( + self.name, + revision="refs/convert/parquet", + token=self.download_config.token, + timeout=100.0, + ) + .sha + ) # fix the revision in case there are new commits in the meantime + metadata_configs = MetadataConfigs._from_exported_parquet_files_and_dataset_infos( + parquet_commit_hash=parquet_commit_hash, + exported_parquet_files=exported_parquet_files, + dataset_infos=dataset_infos, + ) + module_path, _ = _PACKAGED_DATASETS_MODULES["parquet"] + builder_configs, default_config_name = create_builder_configs_from_metadata_configs( + module_path, + metadata_configs, + download_config=self.download_config, + ) + builder_kwargs = { + "repo_id": self.name, + "dataset_name": camelcase_to_snakecase(Path(self.name).name), + } + + return DatasetModule( + module_path, + self.commit_hash, + builder_kwargs, + dataset_infos=dataset_infos, + builder_configs_parameters=BuilderConfigsParameters( + metadata_configs=metadata_configs, + builder_configs=builder_configs, + default_config_name=default_config_name, + ), + ) + + +class HubDatasetModuleFactoryWithScript(_DatasetModuleFactory): + """ + Get the module of a dataset from a dataset repository. + The dataset script comes from the script inside the dataset repository. + """ + + def __init__( + self, + name: str, + commit_hash: str, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + dynamic_modules_path: Optional[str] = None, + trust_remote_code: Optional[bool] = None, + ): + self.name = name + self.commit_hash = commit_hash + self.download_config = download_config or DownloadConfig() + self.download_mode = download_mode + self.dynamic_modules_path = dynamic_modules_path + self.trust_remote_code = trust_remote_code + increase_load_count(name) + + def download_loading_script(self) -> str: + file_path = hf_dataset_url(self.name, self.name.split("/")[-1] + ".py", revision=self.commit_hash) + download_config = self.download_config.copy() + if download_config.download_desc is None: + download_config.download_desc = "Downloading builder script" + return cached_path(file_path, download_config=download_config) + + def download_dataset_infos_file(self) -> str: + dataset_infos = hf_dataset_url(self.name, config.DATASETDICT_INFOS_FILENAME, revision=self.commit_hash) + # Download the dataset infos file if available + download_config = self.download_config.copy() + if download_config.download_desc is None: + download_config.download_desc = "Downloading metadata" + try: + return cached_path( + dataset_infos, + download_config=download_config, + ) + except (FileNotFoundError, ConnectionError): + return None + + def download_dataset_readme_file(self) -> str: + readme_url = hf_dataset_url(self.name, config.REPOCARD_FILENAME, revision=self.commit_hash) + # Download the dataset infos file if available + download_config = self.download_config.copy() + if download_config.download_desc is None: + download_config.download_desc = "Downloading readme" + try: + return cached_path( + readme_url, + download_config=download_config, + ) + except (FileNotFoundError, ConnectionError): + return None + + def get_module(self) -> DatasetModule: + if config.HF_DATASETS_TRUST_REMOTE_CODE and self.trust_remote_code is None: + warnings.warn( + f"The repository for {self.name} contains custom code which must be executed to correctly " + f"load the dataset. You can inspect the repository content at https://hf.co/datasets/{self.name}\n" + f"You can avoid this message in future by passing the argument `trust_remote_code=True`.\n" + f"Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.", + FutureWarning, + ) + # get script and other files + local_path = self.download_loading_script() + dataset_infos_path = self.download_dataset_infos_file() + dataset_readme_path = self.download_dataset_readme_file() + imports = get_imports(local_path) + local_imports, library_imports = _download_additional_modules( + name=self.name, + base_path=hf_dataset_url(self.name, "", revision=self.commit_hash), + imports=imports, + download_config=self.download_config, + ) + additional_files = [] + if dataset_infos_path: + additional_files.append((config.DATASETDICT_INFOS_FILENAME, dataset_infos_path)) + if dataset_readme_path: + additional_files.append((config.REPOCARD_FILENAME, dataset_readme_path)) + # copy the script and the files in an importable directory + dynamic_modules_path = self.dynamic_modules_path if self.dynamic_modules_path else init_dynamic_modules() + hash = files_to_hash([local_path] + [loc[1] for loc in local_imports]) + importable_file_path = _get_importable_file_path( + dynamic_modules_path=dynamic_modules_path, + module_namespace="datasets", + subdirectory_name=hash, + name=self.name, + ) + if not os.path.exists(importable_file_path): + trust_remote_code = resolve_trust_remote_code(self.trust_remote_code, self.name) + if trust_remote_code: + _create_importable_file( + local_path=local_path, + local_imports=local_imports, + additional_files=additional_files, + dynamic_modules_path=dynamic_modules_path, + module_namespace="datasets", + subdirectory_name=hash, + name=self.name, + download_mode=self.download_mode, + ) + else: + raise ValueError( + f"Loading {self.name} requires you to execute the dataset script in that" + " repo on your local machine. Make sure you have read the code there to avoid malicious use, then" + " set the option `trust_remote_code=True` to remove this error." + ) + _check_library_imports(name=self.name, library_imports=library_imports) + module_path, hash = _load_importable_file( + dynamic_modules_path=dynamic_modules_path, + module_namespace="datasets", + subdirectory_name=hash, + name=self.name, + ) + # make the new module to be noticed by the import system + importlib.invalidate_caches() + builder_kwargs = { + "base_path": hf_dataset_url(self.name, "", revision=self.commit_hash).rstrip("/"), + "repo_id": self.name, + } + return DatasetModule(module_path, hash, builder_kwargs, importable_file_path=importable_file_path) + + +class CachedDatasetModuleFactory(_DatasetModuleFactory): + """ + Get the module of a dataset that has been loaded once already and cached. + The script that is loaded from the cache is the most recent one with a matching name. + """ + + def __init__( + self, + name: str, + cache_dir: Optional[str] = None, + dynamic_modules_path: Optional[str] = None, + ): + self.name = name + self.cache_dir = cache_dir + self.dynamic_modules_path = dynamic_modules_path + assert self.name.count("/") <= 1 + + def get_module(self) -> DatasetModule: + dynamic_modules_path = self.dynamic_modules_path if self.dynamic_modules_path else init_dynamic_modules() + importable_directory_path = os.path.join(dynamic_modules_path, "datasets", self.name.replace("/", "--")) + hashes = ( + [h for h in os.listdir(importable_directory_path) if len(h) == 64] + if os.path.isdir(importable_directory_path) + else None + ) + if hashes: + # get most recent + def _get_modification_time(module_hash): + return ( + (Path(importable_directory_path) / module_hash / (self.name.split("/")[-1] + ".py")) + .stat() + .st_mtime + ) + + hash = sorted(hashes, key=_get_modification_time)[-1] + warning_msg = ( + f"Using the latest cached version of the module from {os.path.join(importable_directory_path, hash)} " + f"(last modified on {time.ctime(_get_modification_time(hash))}) since it " + f"couldn't be found locally at {self.name}" + ) + if not config.HF_HUB_OFFLINE: + warning_msg += ", or remotely on the Hugging Face Hub." + logger.warning(warning_msg) + importable_file_path = _get_importable_file_path( + dynamic_modules_path=dynamic_modules_path, + module_namespace="datasets", + subdirectory_name=hash, + name=self.name, + ) + module_path, hash = _load_importable_file( + dynamic_modules_path=dynamic_modules_path, + module_namespace="datasets", + subdirectory_name=hash, + name=self.name, + ) + # make the new module to be noticed by the import system + importlib.invalidate_caches() + builder_kwargs = { + "repo_id": self.name, + } + return DatasetModule(module_path, hash, builder_kwargs, importable_file_path=importable_file_path) + cache_dir = os.path.expanduser(str(self.cache_dir or config.HF_DATASETS_CACHE)) + namespace_and_dataset_name = self.name.split("/") + namespace_and_dataset_name[-1] = camelcase_to_snakecase(namespace_and_dataset_name[-1]) + cached_relative_path = "___".join(namespace_and_dataset_name) + cached_datasets_directory_path_root = os.path.join(cache_dir, cached_relative_path) + cached_directory_paths = [ + cached_directory_path + for cached_directory_path in glob.glob(os.path.join(cached_datasets_directory_path_root, "*", "*", "*")) + if os.path.isdir(cached_directory_path) + ] + if cached_directory_paths: + builder_kwargs = { + "repo_id": self.name, + "dataset_name": self.name.split("/")[-1], + } + warning_msg = f"Using the latest cached version of the dataset since {self.name} couldn't be found on the Hugging Face Hub" + if config.HF_HUB_OFFLINE: + warning_msg += " (offline mode is enabled)." + logger.warning(warning_msg) + return DatasetModule( + "datasets.packaged_modules.cache.cache", + "auto", + {**builder_kwargs, "version": "auto"}, + ) + raise FileNotFoundError(f"Dataset {self.name} is not cached in {self.cache_dir}") + + +def dataset_module_factory( + path: str, + revision: Optional[Union[str, Version]] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + dynamic_modules_path: Optional[str] = None, + data_dir: Optional[str] = None, + data_files: Optional[Union[dict, list, str, DataFilesDict]] = None, + cache_dir: Optional[str] = None, + trust_remote_code: Optional[bool] = None, + _require_default_config_name=True, + _require_custom_configs=False, + **download_kwargs, +) -> DatasetModule: + """ + Download/extract/cache a dataset module. + + Dataset codes are cached inside the dynamic modules cache to allow easy import (avoid ugly sys.path tweaks). + + Args: + + path (str): Path or name of the dataset. + Depending on ``path``, the dataset builder that is used comes from a generic dataset script (JSON, CSV, Parquet, text etc.) or from the dataset script (a python file) inside the dataset directory. + + For local datasets: + + - if ``path`` is a local directory (containing data files only) + -> load a generic dataset builder (csv, json, text etc.) based on the content of the directory + e.g. ``'./path/to/directory/with/my/csv/data'``. + - if ``path`` is a local dataset script or a directory containing a local dataset script (if the script has the same name as the directory): + -> load the dataset builder from the dataset script + e.g. ``'./dataset/squad'`` or ``'./dataset/squad/squad.py'``. + + For datasets on the Hugging Face Hub (list all available datasets with ``huggingface_hub.list_datasets()``) + + - if ``path`` is a dataset repository on the HF hub (containing data files only) + -> load a generic dataset builder (csv, text etc.) based on the content of the repository + e.g. ``'username/dataset_name'``, a dataset repository on the HF hub containing your data files. + - if ``path`` is a dataset repository on the HF hub with a dataset script (if the script has the same name as the directory) + -> load the dataset builder from the dataset script in the dataset repository + e.g. ``glue``, ``squad``, ``'username/dataset_name'``, a dataset repository on the HF hub containing a dataset script `'dataset_name.py'`. + + revision (:class:`~utils.Version` or :obj:`str`, optional): Version of the dataset script to load. + As datasets have their own git repository on the Datasets Hub, the default version "main" corresponds to their "main" branch. + You can specify a different version than the default "main" by using a commit SHA or a git tag of the dataset repository. + download_config (:class:`DownloadConfig`, optional): Specific download configuration parameters. + download_mode (:class:`DownloadMode` or :obj:`str`, default ``REUSE_DATASET_IF_EXISTS``): Download/generate mode. + dynamic_modules_path (Optional str, defaults to HF_MODULES_CACHE / "datasets_modules", i.e. ~/.cache/huggingface/modules/datasets_modules): + Optional path to the directory in which the dynamic modules are saved. It must have been initialized with :obj:`init_dynamic_modules`. + By default, the datasets are stored inside the `datasets_modules` module. + data_dir (:obj:`str`, optional): Directory with the data files. Used only if `data_files` is not specified, + in which case it's equal to pass `os.path.join(data_dir, "**")` as `data_files`. + data_files (:obj:`Union[Dict, List, str]`, optional): Defining the data_files of the dataset configuration. + cache_dir (`str`, *optional*): + Directory to read/write data. Defaults to `"~/.cache/huggingface/datasets"`. + + + trust_remote_code (`bool`, *optional*, defaults to `None`): + Whether or not to allow for datasets defined on the Hub using a dataset script. This option + should only be set to `True` for repositories you trust and in which you have read the code, as it will + execute code present on the Hub on your local machine. + + + + + + `trust_remote_code` defaults to `False` if not specified. + + + + **download_kwargs (additional keyword arguments): optional attributes for DownloadConfig() which will override + the attributes in download_config if supplied. + + Returns: + DatasetModule + """ + if download_config is None: + download_config = DownloadConfig(**download_kwargs) + download_mode = DownloadMode(download_mode or DownloadMode.REUSE_DATASET_IF_EXISTS) + download_config.extract_compressed_file = True + download_config.force_extract = True + download_config.force_download = download_mode == DownloadMode.FORCE_REDOWNLOAD + + filename = list(filter(lambda x: x, path.replace(os.sep, "/").split("/")))[-1] + if not filename.endswith(".py"): + filename = filename + ".py" + combined_path = os.path.join(path, filename) + + # We have several ways to get a dataset builder: + # + # - if path is the name of a packaged dataset module + # -> use the packaged module (json, csv, etc.) + # + # - if os.path.join(path, name) is a local python file + # -> use the module from the python file + # - if path is a local directory (but no python file) + # -> use a packaged module (csv, text etc.) based on content of the directory + # + # - if path has one "/" and is dataset repository on the HF hub with a python file + # -> the module from the python file in the dataset repository + # - if path has one "/" and is dataset repository on the HF hub without a python file + # -> use a packaged module (csv, text etc.) based on content of the repository + + # Try packaged + if path in _PACKAGED_DATASETS_MODULES: + return PackagedDatasetModuleFactory( + path, + data_dir=data_dir, + data_files=data_files, + download_config=download_config, + download_mode=download_mode, + ).get_module() + # Try locally + elif path.endswith(filename): + if os.path.isfile(path): + return LocalDatasetModuleFactoryWithScript( + path, + download_mode=download_mode, + dynamic_modules_path=dynamic_modules_path, + trust_remote_code=trust_remote_code, + ).get_module() + else: + raise FileNotFoundError(f"Couldn't find a dataset script at {relative_to_absolute_path(path)}") + elif os.path.isfile(combined_path): + return LocalDatasetModuleFactoryWithScript( + combined_path, + download_mode=download_mode, + dynamic_modules_path=dynamic_modules_path, + trust_remote_code=trust_remote_code, + ).get_module() + elif os.path.isdir(path): + return LocalDatasetModuleFactoryWithoutScript( + path, data_dir=data_dir, data_files=data_files, download_mode=download_mode + ).get_module() + # Try remotely + elif is_relative_path(path) and path.count("/") <= 1: + try: + # Get the Dataset Card + get the revision + check authentication all at in one call + # We fix the commit_hash in case there are new commits in the meantime + api = HfApi( + endpoint=config.HF_ENDPOINT, + token=download_config.token, + library_name="datasets", + library_version=__version__, + user_agent=get_datasets_user_agent(download_config.user_agent), + ) + try: + _raise_if_offline_mode_is_enabled() + dataset_readme_path = api.hf_hub_download( + repo_id=path, + filename=config.REPOCARD_FILENAME, + repo_type="dataset", + revision=revision, + proxies=download_config.proxies, + ) + commit_hash = os.path.basename(os.path.dirname(dataset_readme_path)) + except LocalEntryNotFoundError as e: + if isinstance( + e.__cause__, + ( + OfflineModeIsEnabled, + requests.exceptions.Timeout, + requests.exceptions.ConnectionError, + ), + ): + raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e + else: + raise + except EntryNotFoundError: + commit_hash = api.dataset_info( + path, + revision=revision, + timeout=100.0, + ).sha + except ( + OfflineModeIsEnabled, + requests.exceptions.Timeout, + requests.exceptions.ConnectionError, + ) as e: + raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e + except GatedRepoError as e: + message = f"Dataset '{path}' is a gated dataset on the Hub." + if e.response.status_code == 401: + message += " You must be authenticated to access it." + elif e.response.status_code == 403: + message += f" Visit the dataset page at https://huggingface.co/datasets/{path} to ask for access." + raise DatasetNotFoundError(message) from e + except RevisionNotFoundError as e: + raise DatasetNotFoundError( + f"Revision '{revision}' doesn't exist for dataset '{path}' on the Hub." + ) from e + except RepositoryNotFoundError as e: + raise DatasetNotFoundError(f"Dataset '{path}' doesn't exist on the Hub or cannot be accessed.") from e + try: + dataset_script_path = api.hf_hub_download( + repo_id=path, + filename=filename, + repo_type="dataset", + revision=commit_hash, + proxies=download_config.proxies, + ) + if _require_custom_configs or (revision and revision != "main"): + can_load_config_from_parquet_export = False + elif _require_default_config_name: + with open(dataset_script_path, encoding="utf-8") as f: + can_load_config_from_parquet_export = "DEFAULT_CONFIG_NAME" not in f.read() + else: + can_load_config_from_parquet_export = True + if config.USE_PARQUET_EXPORT and can_load_config_from_parquet_export: + # If the parquet export is ready (parquet files + info available for the current sha), we can use it instead + # This fails when the dataset has multiple configs and a default config and + # the user didn't specify a configuration name (_require_default_config_name=True). + try: + out = HubDatasetModuleFactoryWithParquetExport( + path, download_config=download_config, commit_hash=commit_hash + ).get_module() + logger.info("Loading the dataset from the Parquet export on Hugging Face.") + return out + except _dataset_viewer.DatasetViewerError: + pass + # Otherwise we must use the dataset script if the user trusts it + return HubDatasetModuleFactoryWithScript( + path, + commit_hash=commit_hash, + download_config=download_config, + download_mode=download_mode, + dynamic_modules_path=dynamic_modules_path, + trust_remote_code=trust_remote_code, + ).get_module() + except EntryNotFoundError: + # Use the infos from the parquet export except in some cases: + if data_dir or data_files or (revision and revision != "main"): + use_exported_dataset_infos = False + else: + use_exported_dataset_infos = True + return HubDatasetModuleFactoryWithoutScript( + path, + commit_hash=commit_hash, + data_dir=data_dir, + data_files=data_files, + download_config=download_config, + download_mode=download_mode, + use_exported_dataset_infos=use_exported_dataset_infos, + ).get_module() + except GatedRepoError as e: + message = f"Dataset '{path}' is a gated dataset on the Hub." + if e.response.status_code == 401: + message += " You must be authenticated to access it." + elif e.response.status_code == 403: + message += f" Visit the dataset page at https://huggingface.co/datasets/{path} to ask for access." + raise DatasetNotFoundError(message) from e + except RevisionNotFoundError as e: + raise DatasetNotFoundError( + f"Revision '{revision}' doesn't exist for dataset '{path}' on the Hub." + ) from e + except Exception as e1: + # All the attempts failed, before raising the error we should check if the module is already cached + try: + return CachedDatasetModuleFactory( + path, dynamic_modules_path=dynamic_modules_path, cache_dir=cache_dir + ).get_module() + except Exception: + # If it's not in the cache, then it doesn't exist. + if isinstance(e1, OfflineModeIsEnabled): + raise ConnectionError(f"Couldn't reach the Hugging Face Hub for dataset '{path}': {e1}") from None + if isinstance(e1, (DataFilesNotFoundError, DatasetNotFoundError, EmptyDatasetError)): + raise e1 from None + if isinstance(e1, FileNotFoundError): + if trust_remote_code: + raise FileNotFoundError( + f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory. " + f"Couldn't find '{path}' on the Hugging Face Hub either: {type(e1).__name__}: {e1}" + ) from None + else: + raise FileNotFoundError( + f"Couldn't find any data file at {relative_to_absolute_path(path)}. " + f"Couldn't find '{path}' on the Hugging Face Hub either: {type(e1).__name__}: {e1}" + ) from None + raise e1 from None + elif trust_remote_code: + raise FileNotFoundError( + f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory." + ) + else: + raise FileNotFoundError(f"Couldn't find any data file at {relative_to_absolute_path(path)}.") + + +def load_dataset_builder( + path: str, + name: Optional[str] = None, + data_dir: Optional[str] = None, + data_files: Optional[Union[str, Sequence[str], Mapping[str, Union[str, Sequence[str]]]]] = None, + cache_dir: Optional[str] = None, + features: Optional[Features] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + revision: Optional[Union[str, Version]] = None, + token: Optional[Union[bool, str]] = None, + storage_options: Optional[dict] = None, + trust_remote_code: Optional[bool] = None, + _require_default_config_name=True, + **config_kwargs, +) -> DatasetBuilder: + """Load a dataset builder which can be used to: + + - Inspect general information that is required to build a dataset (cache directory, config, dataset info, features, data files, etc.) + - Download and prepare the dataset as Arrow files in the cache + - Get a streaming dataset without downloading or caching anything + + You can find the list of datasets on the [Hub](https://huggingface.co/datasets) or with [`huggingface_hub.list_datasets`]. + + A dataset is a directory that contains some data files in generic formats (JSON, CSV, Parquet, etc.) and possibly + in a generic structure (Webdataset, ImageFolder, AudioFolder, VideoFolder, etc.) + + Args: + + path (`str`): + Path or name of the dataset. + + - if `path` is a dataset repository on the HF hub (list all available datasets with [`huggingface_hub.list_datasets`]) + -> load the dataset builder from supported files in the repository (csv, json, parquet, etc.) + e.g. `'username/dataset_name'`, a dataset repository on the HF hub containing the data files. + + - if `path` is a local directory + -> load the dataset builder from supported files in the directory (csv, json, parquet, etc.) + e.g. `'./path/to/directory/with/my/csv/data'`. + + - if `path` is the name of a dataset builder and `data_files` or `data_dir` is specified + (available builders are "json", "csv", "parquet", "arrow", "text", "xml", "webdataset", "imagefolder", "audiofolder", "videofolder") + -> load the dataset builder from the files in `data_files` or `data_dir` + e.g. `'parquet'`. + + It can also point to a local dataset script but this is not recommended. + name (`str`, *optional*): + Defining the name of the dataset configuration. + data_dir (`str`, *optional*): + Defining the `data_dir` of the dataset configuration. If specified for the generic builders (csv, text etc.) or the Hub datasets and `data_files` is `None`, + the behavior is equal to passing `os.path.join(data_dir, **)` as `data_files` to reference all the files in a directory. + data_files (`str` or `Sequence` or `Mapping`, *optional*): + Path(s) to source data file(s). + cache_dir (`str`, *optional*): + Directory to read/write data. Defaults to `"~/.cache/huggingface/datasets"`. + features ([`Features`], *optional*): + Set the features type to use for this dataset. + download_config ([`DownloadConfig`], *optional*): + Specific download configuration parameters. + download_mode ([`DownloadMode`] or `str`, defaults to `REUSE_DATASET_IF_EXISTS`): + Download/generate mode. + revision ([`Version`] or `str`, *optional*): + Version of the dataset script to load. + As datasets have their own git repository on the Datasets Hub, the default version "main" corresponds to their "main" branch. + You can specify a different version than the default "main" by using a commit SHA or a git tag of the dataset repository. + token (`str` or `bool`, *optional*): + Optional string or boolean to use as Bearer token for remote files on the Datasets Hub. + If `True`, or not specified, will get token from `"~/.huggingface"`. + storage_options (`dict`, *optional*, defaults to `None`): + **Experimental**. Key/value pairs to be passed on to the dataset file-system backend, if any. + + + trust_remote_code (`bool`, *optional*, defaults to `None`): + Whether or not to allow for datasets defined on the Hub using a dataset script. This option + should only be set to `True` for repositories you trust and in which you have read the code, as it will + execute code present on the Hub on your local machine. + + + + + + `trust_remote_code` defaults to `False` if not specified. + + + + **config_kwargs (additional keyword arguments): + Keyword arguments to be passed to the [`BuilderConfig`] + and used in the [`DatasetBuilder`]. + + Returns: + [`DatasetBuilder`] + + Example: + + ```py + >>> from datasets import load_dataset_builder + >>> ds_builder = load_dataset_builder('cornell-movie-review-data/rotten_tomatoes') + >>> ds_builder.info.features + {'label': ClassLabel(names=['neg', 'pos'], id=None), + 'text': Value(dtype='string', id=None)} + ``` + """ + download_mode = DownloadMode(download_mode or DownloadMode.REUSE_DATASET_IF_EXISTS) + if token is not None: + download_config = download_config.copy() if download_config else DownloadConfig() + download_config.token = token + if storage_options is not None: + download_config = download_config.copy() if download_config else DownloadConfig() + download_config.storage_options.update(storage_options) + dataset_module = dataset_module_factory( + path, + revision=revision, + download_config=download_config, + download_mode=download_mode, + data_dir=data_dir, + data_files=data_files, + cache_dir=cache_dir, + trust_remote_code=trust_remote_code, + _require_default_config_name=_require_default_config_name, + _require_custom_configs=bool(config_kwargs), + ) + # Get dataset builder class from the processing script + builder_kwargs = dataset_module.builder_kwargs + data_dir = builder_kwargs.pop("data_dir", data_dir) + data_files = builder_kwargs.pop("data_files", data_files) + config_name = builder_kwargs.pop( + "config_name", name or dataset_module.builder_configs_parameters.default_config_name + ) + dataset_name = builder_kwargs.pop("dataset_name", None) + info = dataset_module.dataset_infos.get(config_name) if dataset_module.dataset_infos else None + + if ( + path in _PACKAGED_DATASETS_MODULES + and data_files is None + and dataset_module.builder_configs_parameters.builder_configs[0].data_files is None + ): + error_msg = f"Please specify the data files or data directory to load for the {path} dataset builder." + example_extensions = [ + extension for extension in _EXTENSION_TO_MODULE if _EXTENSION_TO_MODULE[extension] == path + ] + if example_extensions: + error_msg += f'\nFor example `data_files={{"train": "path/to/data/train/*.{example_extensions[0]}"}}`' + raise ValueError(error_msg) + + builder_cls = get_dataset_builder_class(dataset_module, dataset_name=dataset_name) + # Instantiate the dataset builder + builder_instance: DatasetBuilder = builder_cls( + cache_dir=cache_dir, + dataset_name=dataset_name, + config_name=config_name, + data_dir=data_dir, + data_files=data_files, + hash=dataset_module.hash, + info=info, + features=features, + token=token, + storage_options=storage_options, + **builder_kwargs, + **config_kwargs, + ) + builder_instance._use_legacy_cache_dir_if_possible(dataset_module) + + return builder_instance + + +def load_dataset( + path: str, + name: Optional[str] = None, + data_dir: Optional[str] = None, + data_files: Optional[Union[str, Sequence[str], Mapping[str, Union[str, Sequence[str]]]]] = None, + split: Optional[Union[str, Split]] = None, + cache_dir: Optional[str] = None, + features: Optional[Features] = None, + download_config: Optional[DownloadConfig] = None, + download_mode: Optional[Union[DownloadMode, str]] = None, + verification_mode: Optional[Union[VerificationMode, str]] = None, + keep_in_memory: Optional[bool] = None, + save_infos: bool = False, + revision: Optional[Union[str, Version]] = None, + token: Optional[Union[bool, str]] = None, + streaming: bool = False, + num_proc: Optional[int] = None, + storage_options: Optional[dict] = None, + trust_remote_code: Optional[bool] = None, + **config_kwargs, +) -> Union[DatasetDict, Dataset, IterableDatasetDict, IterableDataset]: + """Load a dataset from the Hugging Face Hub, or a local dataset. + + You can find the list of datasets on the [Hub](https://huggingface.co/datasets) or with [`huggingface_hub.list_datasets`]. + + A dataset is a directory that contains some data files in generic formats (JSON, CSV, Parquet, etc.) and possibly + in a generic structure (Webdataset, ImageFolder, AudioFolder, VideoFolder, etc.) + + This function does the following under the hood: + + 1. Load a dataset builder: + + * Find the most common data format in the dataset and pick its associated builder (JSON, CSV, Parquet, Webdataset, ImageFolder, AudioFolder, etc.) + * Find which file goes into which split (e.g. train/test) based on file and directory names or on the YAML configuration + * It is also possible to specify `data_files` manually, and which dataset builder to use (e.g. "parquet"). + + 2. Run the dataset builder: + + In the general case: + + * Download the data files from the dataset if they are not already available locally or cached. + * Process and cache the dataset in typed Arrow tables for caching. + + Arrow table are arbitrarily long, typed tables which can store nested objects and be mapped to numpy/pandas/python generic types. + They can be directly accessed from disk, loaded in RAM or even streamed over the web. + + In the streaming case: + + * Don't download or cache anything. Instead, the dataset is lazily loaded and will be streamed on-the-fly when iterating on it. + + 3. Return a dataset built from the requested splits in `split` (default: all). + + It can also use a custom dataset builder if the dataset contains a dataset script, but this feature is mostly for backward compatibility. + In this case the dataset script file must be named after the dataset repository or directory and end with ".py". + + Args: + + path (`str`): + Path or name of the dataset. + + - if `path` is a dataset repository on the HF hub (list all available datasets with [`huggingface_hub.list_datasets`]) + -> load the dataset from supported files in the repository (csv, json, parquet, etc.) + e.g. `'username/dataset_name'`, a dataset repository on the HF hub containing the data files. + + - if `path` is a local directory + -> load the dataset from supported files in the directory (csv, json, parquet, etc.) + e.g. `'./path/to/directory/with/my/csv/data'`. + + - if `path` is the name of a dataset builder and `data_files` or `data_dir` is specified + (available builders are "json", "csv", "parquet", "arrow", "text", "xml", "webdataset", "imagefolder", "audiofolder", "videofolder") + -> load the dataset from the files in `data_files` or `data_dir` + e.g. `'parquet'`. + + It can also point to a local dataset script but this is not recommended. + name (`str`, *optional*): + Defining the name of the dataset configuration. + data_dir (`str`, *optional*): + Defining the `data_dir` of the dataset configuration. If specified for the generic builders (csv, text etc.) or the Hub datasets and `data_files` is `None`, + the behavior is equal to passing `os.path.join(data_dir, **)` as `data_files` to reference all the files in a directory. + data_files (`str` or `Sequence` or `Mapping`, *optional*): + Path(s) to source data file(s). + split (`Split` or `str`): + Which split of the data to load. + If `None`, will return a `dict` with all splits (typically `datasets.Split.TRAIN` and `datasets.Split.TEST`). + If given, will return a single Dataset. + Splits can be combined and specified like in tensorflow-datasets. + cache_dir (`str`, *optional*): + Directory to read/write data. Defaults to `"~/.cache/huggingface/datasets"`. + features (`Features`, *optional*): + Set the features type to use for this dataset. + download_config ([`DownloadConfig`], *optional*): + Specific download configuration parameters. + download_mode ([`DownloadMode`] or `str`, defaults to `REUSE_DATASET_IF_EXISTS`): + Download/generate mode. + verification_mode ([`VerificationMode`] or `str`, defaults to `BASIC_CHECKS`): + Verification mode determining the checks to run on the downloaded/processed dataset information (checksums/size/splits/...). + + + keep_in_memory (`bool`, defaults to `None`): + Whether to copy the dataset in-memory. If `None`, the dataset + will not be copied in-memory unless explicitly enabled by setting `datasets.config.IN_MEMORY_MAX_SIZE` to + nonzero. See more details in the [improve performance](../cache#improve-performance) section. + save_infos (`bool`, defaults to `False`): + Save the dataset information (checksums/size/splits/...). + revision ([`Version`] or `str`, *optional*): + Version of the dataset script to load. + As datasets have their own git repository on the Datasets Hub, the default version "main" corresponds to their "main" branch. + You can specify a different version than the default "main" by using a commit SHA or a git tag of the dataset repository. + token (`str` or `bool`, *optional*): + Optional string or boolean to use as Bearer token for remote files on the Datasets Hub. + If `True`, or not specified, will get token from `"~/.huggingface"`. + streaming (`bool`, defaults to `False`): + If set to `True`, don't download the data files. Instead, it streams the data progressively while + iterating on the dataset. An [`IterableDataset`] or [`IterableDatasetDict`] is returned instead in this case. + + Note that streaming works for datasets that use data formats that support being iterated over like txt, csv, jsonl for example. + Json files may be downloaded completely. Also streaming from remote zip or gzip files is supported but other compressed formats + like rar and xz are not yet supported. The tgz format doesn't allow streaming. + num_proc (`int`, *optional*, defaults to `None`): + Number of processes when downloading and generating the dataset locally. + Multiprocessing is disabled by default. + + + storage_options (`dict`, *optional*, defaults to `None`): + **Experimental**. Key/value pairs to be passed on to the dataset file-system backend, if any. + + + trust_remote_code (`bool`, *optional*, defaults to `None`): + Whether or not to allow for datasets defined on the Hub using a dataset script. This option + should only be set to `True` for repositories you trust and in which you have read the code, as it will + execute code present on the Hub on your local machine. + + + + + + `trust_remote_code` defaults to `False` if not specified. + + + + **config_kwargs (additional keyword arguments): + Keyword arguments to be passed to the `BuilderConfig` + and used in the [`DatasetBuilder`]. + + Returns: + [`Dataset`] or [`DatasetDict`]: + - if `split` is not `None`: the dataset requested, + - if `split` is `None`, a [`~datasets.DatasetDict`] with each split. + + or [`IterableDataset`] or [`IterableDatasetDict`]: if `streaming=True` + + - if `split` is not `None`, the dataset is requested + - if `split` is `None`, a [`~datasets.streaming.IterableDatasetDict`] with each split. + + Example: + + Load a dataset from the Hugging Face Hub: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset('cornell-movie-review-data/rotten_tomatoes', split='train') + + # Load a subset or dataset configuration (here 'sst2') + >>> from datasets import load_dataset + >>> ds = load_dataset('nyu-mll/glue', 'sst2', split='train') + + # Manual mapping of data files to splits + >>> data_files = {'train': 'train.csv', 'test': 'test.csv'} + >>> ds = load_dataset('namespace/your_dataset_name', data_files=data_files) + + # Manual selection of a directory to load + >>> ds = load_dataset('namespace/your_dataset_name', data_dir='folder_name') + ``` + + Load a local dataset: + + ```py + # Load a CSV file + >>> from datasets import load_dataset + >>> ds = load_dataset('csv', data_files='path/to/local/my_dataset.csv') + + # Load a JSON file + >>> from datasets import load_dataset + >>> ds = load_dataset('json', data_files='path/to/local/my_dataset.json') + + # Load from a local loading script (not recommended) + >>> from datasets import load_dataset + >>> ds = load_dataset('path/to/local/loading_script/loading_script.py', split='train') + ``` + + Load an [`~datasets.IterableDataset`]: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset('cornell-movie-review-data/rotten_tomatoes', split='train', streaming=True) + ``` + + Load an image dataset with the `ImageFolder` dataset builder: + + ```py + >>> from datasets import load_dataset + >>> ds = load_dataset('imagefolder', data_dir='/path/to/images', split='train') + ``` + """ + if data_files is not None and not data_files: + raise ValueError(f"Empty 'data_files': '{data_files}'. It should be either non-empty or None (default).") + if Path(path, config.DATASET_STATE_JSON_FILENAME).exists(): + raise ValueError( + "You are trying to load a dataset that was saved using `save_to_disk`. " + "Please use `load_from_disk` instead." + ) + + if streaming and num_proc is not None: + raise NotImplementedError( + "Loading a streaming dataset in parallel with `num_proc` is not implemented. " + "To parallelize streaming, you can wrap the dataset with a PyTorch DataLoader using `num_workers` > 1 instead." + ) + + download_mode = DownloadMode(download_mode or DownloadMode.REUSE_DATASET_IF_EXISTS) + verification_mode = VerificationMode( + (verification_mode or VerificationMode.BASIC_CHECKS) if not save_infos else VerificationMode.ALL_CHECKS + ) + + # Create a dataset builder + builder_instance = load_dataset_builder( + path=path, + name=name, + data_dir=data_dir, + data_files=data_files, + cache_dir=cache_dir, + features=features, + download_config=download_config, + download_mode=download_mode, + revision=revision, + token=token, + storage_options=storage_options, + trust_remote_code=trust_remote_code, + _require_default_config_name=name is None, + **config_kwargs, + ) + + # Return iterable dataset in case of streaming + if streaming: + return builder_instance.as_streaming_dataset(split=split) + + # Download and prepare data + builder_instance.download_and_prepare( + download_config=download_config, + download_mode=download_mode, + verification_mode=verification_mode, + num_proc=num_proc, + storage_options=storage_options, + ) + + # Build dataset for splits + keep_in_memory = ( + keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size) + ) + ds = builder_instance.as_dataset(split=split, verification_mode=verification_mode, in_memory=keep_in_memory) + if save_infos: + builder_instance._save_infos() + + return ds + + +def load_from_disk( + dataset_path: PathLike, keep_in_memory: Optional[bool] = None, storage_options: Optional[dict] = None +) -> Union[Dataset, DatasetDict]: + """ + Loads a dataset that was previously saved using [`~Dataset.save_to_disk`] from a dataset directory, or + from a filesystem using any implementation of `fsspec.spec.AbstractFileSystem`. + + Args: + dataset_path (`path-like`): + Path (e.g. `"dataset/train"`) or remote URI (e.g. `"s3://my-bucket/dataset/train"`) + of the [`Dataset`] or [`DatasetDict`] directory where the dataset/dataset-dict will be + loaded from. + keep_in_memory (`bool`, defaults to `None`): + Whether to copy the dataset in-memory. If `None`, the dataset + will not be copied in-memory unless explicitly enabled by setting `datasets.config.IN_MEMORY_MAX_SIZE` to + nonzero. See more details in the [improve performance](../cache#improve-performance) section. + + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + + Returns: + [`Dataset`] or [`DatasetDict`]: + - If `dataset_path` is a path of a dataset directory: the dataset requested. + - If `dataset_path` is a path of a dataset dict directory, a [`DatasetDict`] with each split. + + Example: + + ```py + >>> from datasets import load_from_disk + >>> ds = load_from_disk('path/to/dataset/directory') + ``` + """ + fs: fsspec.AbstractFileSystem + fs, *_ = url_to_fs(dataset_path, **(storage_options or {})) + if not fs.exists(dataset_path): + raise FileNotFoundError(f"Directory {dataset_path} not found") + if fs.isfile(posixpath.join(dataset_path, config.DATASET_INFO_FILENAME)) and fs.isfile( + posixpath.join(dataset_path, config.DATASET_STATE_JSON_FILENAME) + ): + return Dataset.load_from_disk(dataset_path, keep_in_memory=keep_in_memory, storage_options=storage_options) + elif fs.isfile(posixpath.join(dataset_path, config.DATASETDICT_JSON_FILENAME)): + return DatasetDict.load_from_disk(dataset_path, keep_in_memory=keep_in_memory, storage_options=storage_options) + else: + raise FileNotFoundError( + f"Directory {dataset_path} is neither a `Dataset` directory nor a `DatasetDict` directory." + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/naming.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/naming.py new file mode 100644 index 0000000000000000000000000000000000000000..65e7ede10dcde8701823223ae98e7971f705f945 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/naming.py @@ -0,0 +1,84 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""Utilities for file names.""" + +import itertools +import os +import re + + +_uppercase_uppercase_re = re.compile(r"([A-Z]+)([A-Z][a-z])") +_lowercase_uppercase_re = re.compile(r"([a-z\d])([A-Z])") + +_single_underscore_re = re.compile(r"(?:/\|?*" + + +def camelcase_to_snakecase(name): + """Convert camel-case string to snake-case.""" + name = _uppercase_uppercase_re.sub(r"\1_\2", name) + name = _lowercase_uppercase_re.sub(r"\1_\2", name) + return name.lower() + + +def snakecase_to_camelcase(name): + """Convert snake-case string to camel-case string.""" + name = _single_underscore_re.split(name) + name = [_multiple_underscores_re.split(n) for n in name] + return "".join(n.capitalize() for n in itertools.chain.from_iterable(name) if n != "") + + +def filename_prefix_for_name(name): + if os.path.basename(name) != name: + raise ValueError(f"Should be a dataset name, not a path: {name}") + return camelcase_to_snakecase(name) + + +def filename_prefix_for_split(name, split): + if os.path.basename(name) != name: + raise ValueError(f"Should be a dataset name, not a path: {name}") + if not re.match(_split_re, split): + raise ValueError(f"Split name should match '{_split_re}'' but got '{split}'.") + return f"{filename_prefix_for_name(name)}-{split}" + + +def filepattern_for_dataset_split(dataset_name, split, data_dir, filetype_suffix=None): + prefix = filename_prefix_for_split(dataset_name, split) + if filetype_suffix: + prefix += f".{filetype_suffix}" + filepath = os.path.join(data_dir, prefix) + return f"{filepath}*" + + +def filenames_for_dataset_split(path, dataset_name, split, filetype_suffix=None, shard_lengths=None): + prefix = filename_prefix_for_split(dataset_name, split) + prefix = os.path.join(path, prefix) + + if shard_lengths: + num_shards = len(shard_lengths) + filenames = [f"{prefix}-{shard_id:05d}-of-{num_shards:05d}" for shard_id in range(num_shards)] + if filetype_suffix: + filenames = [filename + f".{filetype_suffix}" for filename in filenames] + return filenames + else: + filename = prefix + if filetype_suffix: + filename += f".{filetype_suffix}" + return [filename] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..f61c6ddd3de5795ee592abc30f4cda899e913f22 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/__init__.py @@ -0,0 +1,104 @@ +import inspect +import re +from typing import Dict, List, Tuple + +from huggingface_hub.utils import insecure_hashlib + +from .arrow import arrow +from .audiofolder import audiofolder +from .cache import cache +from .csv import csv +from .imagefolder import imagefolder +from .json import json +from .pandas import pandas +from .parquet import parquet +from .pdffolder import pdffolder +from .sql import sql +from .text import text +from .videofolder import videofolder +from .webdataset import webdataset +from .xml import xml + + +def _hash_python_lines(lines: list[str]) -> str: + filtered_lines = [] + for line in lines: + line = re.sub(r"#.*", "", line) # remove comments + if line: + filtered_lines.append(line) + full_str = "\n".join(filtered_lines) + + # Make a hash from all this code + full_bytes = full_str.encode("utf-8") + return insecure_hashlib.sha256(full_bytes).hexdigest() + + +# get importable module names and hash for caching +_PACKAGED_DATASETS_MODULES = { + "csv": (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())), + "json": (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())), + "pandas": (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())), + "parquet": (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())), + "arrow": (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())), + "text": (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())), + "imagefolder": (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())), + "audiofolder": (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())), + "videofolder": (videofolder.__name__, _hash_python_lines(inspect.getsource(videofolder).splitlines())), + "pdffolder": (pdffolder.__name__, _hash_python_lines(inspect.getsource(pdffolder).splitlines())), + "webdataset": (webdataset.__name__, _hash_python_lines(inspect.getsource(webdataset).splitlines())), + "xml": (xml.__name__, _hash_python_lines(inspect.getsource(xml).splitlines())), +} + +# get importable module names and hash for caching +_PACKAGED_DATASETS_MODULES_2_15_HASHES = { + "csv": "eea64c71ca8b46dd3f537ed218fc9bf495d5707789152eb2764f5c78fa66d59d", + "json": "8bb11242116d547c741b2e8a1f18598ffdd40a1d4f2a2872c7a28b697434bc96", + "pandas": "3ac4ffc4563c796122ef66899b9485a3f1a977553e2d2a8a318c72b8cc6f2202", + "parquet": "ca31c69184d9832faed373922c2acccec0b13a0bb5bbbe19371385c3ff26f1d1", + "arrow": "74f69db2c14c2860059d39860b1f400a03d11bf7fb5a8258ca38c501c878c137", + "text": "c4a140d10f020282918b5dd1b8a49f0104729c6177f60a6b49ec2a365ec69f34", + "imagefolder": "7b7ce5247a942be131d49ad4f3de5866083399a0f250901bd8dc202f8c5f7ce5", + "audiofolder": "d3c1655c66c8f72e4efb5c79e952975fa6e2ce538473a6890241ddbddee9071c", +} + +# Used to infer the module to use based on the data files extensions +_EXTENSION_TO_MODULE: dict[str, tuple[str, dict]] = { + ".csv": ("csv", {}), + ".tsv": ("csv", {"sep": "\t"}), + ".json": ("json", {}), + ".jsonl": ("json", {}), + # ndjson is no longer maintained (see: https://github.com/ndjson/ndjson-spec/issues/35#issuecomment-1285673417) + ".ndjson": ("json", {}), + ".parquet": ("parquet", {}), + ".geoparquet": ("parquet", {}), + ".gpq": ("parquet", {}), + ".arrow": ("arrow", {}), + ".txt": ("text", {}), + ".tar": ("webdataset", {}), + ".xml": ("xml", {}), +} +_EXTENSION_TO_MODULE.update({ext: ("imagefolder", {}) for ext in imagefolder.ImageFolder.EXTENSIONS}) +_EXTENSION_TO_MODULE.update({ext.upper(): ("imagefolder", {}) for ext in imagefolder.ImageFolder.EXTENSIONS}) +_EXTENSION_TO_MODULE.update({ext: ("audiofolder", {}) for ext in audiofolder.AudioFolder.EXTENSIONS}) +_EXTENSION_TO_MODULE.update({ext.upper(): ("audiofolder", {}) for ext in audiofolder.AudioFolder.EXTENSIONS}) +_EXTENSION_TO_MODULE.update({ext: ("videofolder", {}) for ext in videofolder.VideoFolder.EXTENSIONS}) +_EXTENSION_TO_MODULE.update({ext.upper(): ("videofolder", {}) for ext in videofolder.VideoFolder.EXTENSIONS}) +_EXTENSION_TO_MODULE.update({ext: ("pdffolder", {}) for ext in pdffolder.PdfFolder.EXTENSIONS}) +_EXTENSION_TO_MODULE.update({ext.upper(): ("pdffolder", {}) for ext in pdffolder.PdfFolder.EXTENSIONS}) + +# Used to filter data files based on extensions given a module name +_MODULE_TO_EXTENSIONS: dict[str, list[str]] = {} +for _ext, (_module, _) in _EXTENSION_TO_MODULE.items(): + _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext) + +for _module in _MODULE_TO_EXTENSIONS: + _MODULE_TO_EXTENSIONS[_module].append(".zip") + +# Used to filter data files based on file names +_MODULE_TO_METADATA_FILE_NAMES: Dict[str, List[str]] = {} +for _module in _MODULE_TO_EXTENSIONS: + _MODULE_TO_METADATA_FILE_NAMES[_module] = [] +_MODULE_TO_METADATA_FILE_NAMES["imagefolder"] = imagefolder.ImageFolder.METADATA_FILENAMES +_MODULE_TO_METADATA_FILE_NAMES["audiofolder"] = imagefolder.ImageFolder.METADATA_FILENAMES +_MODULE_TO_METADATA_FILE_NAMES["videofolder"] = imagefolder.ImageFolder.METADATA_FILENAMES +_MODULE_TO_METADATA_FILE_NAMES["pdffolder"] = imagefolder.ImageFolder.METADATA_FILENAMES diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/arrow/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/arrow/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/arrow/arrow.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/arrow/arrow.py new file mode 100644 index 0000000000000000000000000000000000000000..bcf31c473d2ae532da908600c440a440f8a2d3d6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/arrow/arrow.py @@ -0,0 +1,79 @@ +import itertools +from dataclasses import dataclass +from typing import Optional + +import pyarrow as pa + +import datasets +from datasets.table import table_cast + + +logger = datasets.utils.logging.get_logger(__name__) + + +@dataclass +class ArrowConfig(datasets.BuilderConfig): + """BuilderConfig for Arrow.""" + + features: Optional[datasets.Features] = None + + def __post_init__(self): + super().__post_init__() + + +class Arrow(datasets.ArrowBasedBuilder): + BUILDER_CONFIG_CLASS = ArrowConfig + + def _info(self): + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager): + """We handle string, list and dicts in datafiles""" + if not self.config.data_files: + raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}") + dl_manager.download_config.extract_on_the_fly = True + data_files = dl_manager.download_and_extract(self.config.data_files) + splits = [] + for split_name, files in data_files.items(): + if isinstance(files, str): + files = [files] + # Use `dl_manager.iter_files` to skip hidden files in an extracted archive + files = [dl_manager.iter_files(file) for file in files] + # Infer features if they are stored in the arrow schema + if self.info.features is None: + for file in itertools.chain.from_iterable(files): + with open(file, "rb") as f: + try: + reader = pa.ipc.open_stream(f) + except (OSError, pa.lib.ArrowInvalid): + reader = pa.ipc.open_file(f) + self.info.features = datasets.Features.from_arrow_schema(reader.schema) + break + splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files})) + return splits + + def _cast_table(self, pa_table: pa.Table) -> pa.Table: + if self.info.features is not None: + # more expensive cast to support nested features with keys in a different order + # allows str <-> int/float or str to Audio for example + pa_table = table_cast(pa_table, self.info.features.arrow_schema) + return pa_table + + def _generate_tables(self, files): + for file_idx, file in enumerate(itertools.chain.from_iterable(files)): + with open(file, "rb") as f: + try: + try: + batches = pa.ipc.open_stream(f) + except (OSError, pa.lib.ArrowInvalid): + reader = pa.ipc.open_file(f) + batches = (reader.get_batch(i) for i in range(reader.num_record_batches)) + for batch_idx, record_batch in enumerate(batches): + pa_table = pa.Table.from_batches([record_batch]) + # Uncomment for debugging (will print the Arrow table size and elements) + # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}") + # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows))) + yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table) + except ValueError as e: + logger.error(f"Failed to read file '{file}' with error {type(e)}: {e}") + raise diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/audiofolder/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/audiofolder/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/audiofolder/audiofolder.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/audiofolder/audiofolder.py new file mode 100644 index 0000000000000000000000000000000000000000..12ed9efdf04aea05e1b3d2d0bc01beb9f67745a8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/audiofolder/audiofolder.py @@ -0,0 +1,67 @@ +import datasets + +from ..folder_based_builder import folder_based_builder + + +logger = datasets.utils.logging.get_logger(__name__) + + +class AudioFolderConfig(folder_based_builder.FolderBasedBuilderConfig): + """Builder Config for AudioFolder.""" + + drop_labels: bool = None + drop_metadata: bool = None + + def __post_init__(self): + super().__post_init__() + + +class AudioFolder(folder_based_builder.FolderBasedBuilder): + BASE_FEATURE = datasets.Audio + BASE_COLUMN_NAME = "audio" + BUILDER_CONFIG_CLASS = AudioFolderConfig + EXTENSIONS: list[str] # definition at the bottom of the script + + +# Obtained with: +# ``` +# import soundfile as sf +# +# AUDIO_EXTENSIONS = [f".{format.lower()}" for format in sf.available_formats().keys()] +# +# # .opus decoding is supported if libsndfile >= 1.0.31: +# AUDIO_EXTENSIONS.extend([".opus"]) +# ``` +# We intentionally do not run this code on launch because: +# (1) Soundfile is an optional dependency, so importing it in global namespace is not allowed +# (2) To ensure the list of supported extensions is deterministic +AUDIO_EXTENSIONS = [ + ".aiff", + ".au", + ".avr", + ".caf", + ".flac", + ".htk", + ".svx", + ".mat4", + ".mat5", + ".mpc2k", + ".ogg", + ".paf", + ".pvf", + ".raw", + ".rf64", + ".sd2", + ".sds", + ".ircam", + ".voc", + ".w64", + ".wav", + ".nist", + ".wavex", + ".wve", + ".xi", + ".mp3", + ".opus", +] +AudioFolder.EXTENSIONS = AUDIO_EXTENSIONS diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/cache/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/cache/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/cache/cache.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/cache/cache.py new file mode 100644 index 0000000000000000000000000000000000000000..cdcfb4c20b6b4912e3b2e98b57cc140fe36c357a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/cache/cache.py @@ -0,0 +1,191 @@ +import glob +import json +import os +import shutil +import time +from pathlib import Path +from typing import Optional, Union + +import pyarrow as pa + +import datasets +import datasets.config +import datasets.data_files +from datasets.naming import camelcase_to_snakecase, filenames_for_dataset_split + + +logger = datasets.utils.logging.get_logger(__name__) + + +def _get_modification_time(cached_directory_path): + return (Path(cached_directory_path)).stat().st_mtime + + +def _find_hash_in_cache( + dataset_name: str, + config_name: Optional[str], + cache_dir: Optional[str], + config_kwargs: dict, + custom_features: Optional[datasets.Features], +) -> tuple[str, str, str]: + if config_name or config_kwargs or custom_features: + config_id = datasets.BuilderConfig(config_name or "default").create_config_id( + config_kwargs=config_kwargs, custom_features=custom_features + ) + else: + config_id = None + cache_dir = os.path.expanduser(str(cache_dir or datasets.config.HF_DATASETS_CACHE)) + namespace_and_dataset_name = dataset_name.split("/") + namespace_and_dataset_name[-1] = camelcase_to_snakecase(namespace_and_dataset_name[-1]) + cached_relative_path = "___".join(namespace_and_dataset_name) + cached_datasets_directory_path_root = os.path.join(cache_dir, cached_relative_path) + cached_directory_paths = [ + cached_directory_path + for cached_directory_path in glob.glob( + os.path.join(cached_datasets_directory_path_root, config_id or "*", "*", "*") + ) + if os.path.isdir(cached_directory_path) + and ( + config_kwargs + or custom_features + or json.loads(Path(cached_directory_path, "dataset_info.json").read_text(encoding="utf-8"))["config_name"] + == Path(cached_directory_path).parts[-3] # no extra params => config_id == config_name + ) + ] + if not cached_directory_paths: + cached_directory_paths = [ + cached_directory_path + for cached_directory_path in glob.glob(os.path.join(cached_datasets_directory_path_root, "*", "*", "*")) + if os.path.isdir(cached_directory_path) + ] + available_configs = sorted( + {Path(cached_directory_path).parts[-3] for cached_directory_path in cached_directory_paths} + ) + raise ValueError( + f"Couldn't find cache for {dataset_name}" + + (f" for config '{config_id}'" if config_id else "") + + (f"\nAvailable configs in the cache: {available_configs}" if available_configs else "") + ) + # get most recent + cached_directory_path = Path(sorted(cached_directory_paths, key=_get_modification_time)[-1]) + version, hash = cached_directory_path.parts[-2:] + other_configs = [ + Path(_cached_directory_path).parts[-3] + for _cached_directory_path in glob.glob(os.path.join(cached_datasets_directory_path_root, "*", version, hash)) + if os.path.isdir(_cached_directory_path) + and ( + config_kwargs + or custom_features + or json.loads(Path(_cached_directory_path, "dataset_info.json").read_text(encoding="utf-8"))["config_name"] + == Path(_cached_directory_path).parts[-3] # no extra params => config_id == config_name + ) + ] + if not config_id and len(other_configs) > 1: + raise ValueError( + f"There are multiple '{dataset_name}' configurations in the cache: {', '.join(other_configs)}" + f"\nPlease specify which configuration to reload from the cache, e.g." + f"\n\tload_dataset('{dataset_name}', '{other_configs[0]}')" + ) + config_name = cached_directory_path.parts[-3] + warning_msg = ( + f"Found the latest cached dataset configuration '{config_name}' at {cached_directory_path} " + f"(last modified on {time.ctime(_get_modification_time(cached_directory_path))})." + ) + logger.warning(warning_msg) + return config_name, version, hash + + +class Cache(datasets.ArrowBasedBuilder): + def __init__( + self, + cache_dir: Optional[str] = None, + dataset_name: Optional[str] = None, + config_name: Optional[str] = None, + version: Optional[str] = "0.0.0", + hash: Optional[str] = None, + base_path: Optional[str] = None, + info: Optional[datasets.DatasetInfo] = None, + features: Optional[datasets.Features] = None, + token: Optional[Union[bool, str]] = None, + repo_id: Optional[str] = None, + data_files: Optional[Union[str, list, dict, datasets.data_files.DataFilesDict]] = None, + data_dir: Optional[str] = None, + storage_options: Optional[dict] = None, + writer_batch_size: Optional[int] = None, + **config_kwargs, + ): + if repo_id is None and dataset_name is None: + raise ValueError("repo_id or dataset_name is required for the Cache dataset builder") + if data_files is not None: + config_kwargs["data_files"] = data_files + if data_dir is not None: + config_kwargs["data_dir"] = data_dir + if hash == "auto" and version == "auto": + config_name, version, hash = _find_hash_in_cache( + dataset_name=repo_id or dataset_name, + config_name=config_name, + cache_dir=cache_dir, + config_kwargs=config_kwargs, + custom_features=features, + ) + elif hash == "auto" or version == "auto": + raise NotImplementedError("Pass both hash='auto' and version='auto' instead") + super().__init__( + cache_dir=cache_dir, + dataset_name=dataset_name, + config_name=config_name, + version=version, + hash=hash, + base_path=base_path, + info=info, + token=token, + repo_id=repo_id, + storage_options=storage_options, + writer_batch_size=writer_batch_size, + ) + + def _info(self) -> datasets.DatasetInfo: + return datasets.DatasetInfo() + + def download_and_prepare(self, output_dir: Optional[str] = None, *args, **kwargs): + if not os.path.exists(self.cache_dir): + raise ValueError(f"Cache directory for {self.dataset_name} doesn't exist at {self.cache_dir}") + if output_dir is not None and output_dir != self.cache_dir: + shutil.copytree(self.cache_dir, output_dir) + + def _split_generators(self, dl_manager): + # used to stream from cache + if isinstance(self.info.splits, datasets.SplitDict): + split_infos: list[datasets.SplitInfo] = list(self.info.splits.values()) + else: + raise ValueError(f"Missing splits info for {self.dataset_name} in cache directory {self.cache_dir}") + return [ + datasets.SplitGenerator( + name=split_info.name, + gen_kwargs={ + "files": filenames_for_dataset_split( + self.cache_dir, + dataset_name=self.dataset_name, + split=split_info.name, + filetype_suffix="arrow", + shard_lengths=split_info.shard_lengths, + ) + }, + ) + for split_info in split_infos + ] + + def _generate_tables(self, files): + # used to stream from cache + for file_idx, file in enumerate(files): + with open(file, "rb") as f: + try: + for batch_idx, record_batch in enumerate(pa.ipc.open_stream(f)): + pa_table = pa.Table.from_batches([record_batch]) + # Uncomment for debugging (will print the Arrow table size and elements) + # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}") + # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows))) + yield f"{file_idx}_{batch_idx}", pa_table + except ValueError as e: + logger.error(f"Failed to read file '{file}' with error {type(e)}: {e}") + raise diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/csv/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/csv/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/csv/csv.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/csv/csv.py new file mode 100644 index 0000000000000000000000000000000000000000..2ae95ff51428b826b84b32a7eaf2825cd7593960 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/csv/csv.py @@ -0,0 +1,198 @@ +import itertools +from dataclasses import dataclass +from typing import Any, Callable, Optional, Union + +import pandas as pd +import pyarrow as pa + +import datasets +import datasets.config +from datasets.features.features import require_storage_cast +from datasets.table import table_cast +from datasets.utils.py_utils import Literal + + +logger = datasets.utils.logging.get_logger(__name__) + +_PANDAS_READ_CSV_NO_DEFAULT_PARAMETERS = ["names", "prefix"] +_PANDAS_READ_CSV_DEPRECATED_PARAMETERS = ["warn_bad_lines", "error_bad_lines", "mangle_dupe_cols"] +_PANDAS_READ_CSV_NEW_1_3_0_PARAMETERS = ["encoding_errors", "on_bad_lines"] +_PANDAS_READ_CSV_NEW_2_0_0_PARAMETERS = ["date_format"] +_PANDAS_READ_CSV_DEPRECATED_2_2_0_PARAMETERS = ["verbose"] + + +@dataclass +class CsvConfig(datasets.BuilderConfig): + """BuilderConfig for CSV.""" + + sep: str = "," + delimiter: Optional[str] = None + header: Optional[Union[int, list[int], str]] = "infer" + names: Optional[list[str]] = None + column_names: Optional[list[str]] = None + index_col: Optional[Union[int, str, list[int], list[str]]] = None + usecols: Optional[Union[list[int], list[str]]] = None + prefix: Optional[str] = None + mangle_dupe_cols: bool = True + engine: Optional[Literal["c", "python", "pyarrow"]] = None + converters: dict[Union[int, str], Callable[[Any], Any]] = None + true_values: Optional[list] = None + false_values: Optional[list] = None + skipinitialspace: bool = False + skiprows: Optional[Union[int, list[int]]] = None + nrows: Optional[int] = None + na_values: Optional[Union[str, list[str]]] = None + keep_default_na: bool = True + na_filter: bool = True + verbose: bool = False + skip_blank_lines: bool = True + thousands: Optional[str] = None + decimal: str = "." + lineterminator: Optional[str] = None + quotechar: str = '"' + quoting: int = 0 + escapechar: Optional[str] = None + comment: Optional[str] = None + encoding: Optional[str] = None + dialect: Optional[str] = None + error_bad_lines: bool = True + warn_bad_lines: bool = True + skipfooter: int = 0 + doublequote: bool = True + memory_map: bool = False + float_precision: Optional[str] = None + chunksize: int = 10_000 + features: Optional[datasets.Features] = None + encoding_errors: Optional[str] = "strict" + on_bad_lines: Literal["error", "warn", "skip"] = "error" + date_format: Optional[str] = None + + def __post_init__(self): + super().__post_init__() + if self.delimiter is not None: + self.sep = self.delimiter + if self.column_names is not None: + self.names = self.column_names + + @property + def pd_read_csv_kwargs(self): + pd_read_csv_kwargs = { + "sep": self.sep, + "header": self.header, + "names": self.names, + "index_col": self.index_col, + "usecols": self.usecols, + "prefix": self.prefix, + "mangle_dupe_cols": self.mangle_dupe_cols, + "engine": self.engine, + "converters": self.converters, + "true_values": self.true_values, + "false_values": self.false_values, + "skipinitialspace": self.skipinitialspace, + "skiprows": self.skiprows, + "nrows": self.nrows, + "na_values": self.na_values, + "keep_default_na": self.keep_default_na, + "na_filter": self.na_filter, + "verbose": self.verbose, + "skip_blank_lines": self.skip_blank_lines, + "thousands": self.thousands, + "decimal": self.decimal, + "lineterminator": self.lineterminator, + "quotechar": self.quotechar, + "quoting": self.quoting, + "escapechar": self.escapechar, + "comment": self.comment, + "encoding": self.encoding, + "dialect": self.dialect, + "error_bad_lines": self.error_bad_lines, + "warn_bad_lines": self.warn_bad_lines, + "skipfooter": self.skipfooter, + "doublequote": self.doublequote, + "memory_map": self.memory_map, + "float_precision": self.float_precision, + "chunksize": self.chunksize, + "encoding_errors": self.encoding_errors, + "on_bad_lines": self.on_bad_lines, + "date_format": self.date_format, + } + + # some kwargs must not be passed if they don't have a default value + # some others are deprecated and we can also not pass them if they are the default value + for pd_read_csv_parameter in _PANDAS_READ_CSV_NO_DEFAULT_PARAMETERS + _PANDAS_READ_CSV_DEPRECATED_PARAMETERS: + if pd_read_csv_kwargs[pd_read_csv_parameter] == getattr(CsvConfig(), pd_read_csv_parameter): + del pd_read_csv_kwargs[pd_read_csv_parameter] + + # Remove 1.3 new arguments + if not (datasets.config.PANDAS_VERSION.major >= 1 and datasets.config.PANDAS_VERSION.minor >= 3): + for pd_read_csv_parameter in _PANDAS_READ_CSV_NEW_1_3_0_PARAMETERS: + del pd_read_csv_kwargs[pd_read_csv_parameter] + + # Remove 2.0 new arguments + if not (datasets.config.PANDAS_VERSION.major >= 2): + for pd_read_csv_parameter in _PANDAS_READ_CSV_NEW_2_0_0_PARAMETERS: + del pd_read_csv_kwargs[pd_read_csv_parameter] + + # Remove 2.2 deprecated arguments + if datasets.config.PANDAS_VERSION.release >= (2, 2): + for pd_read_csv_parameter in _PANDAS_READ_CSV_DEPRECATED_2_2_0_PARAMETERS: + if pd_read_csv_kwargs[pd_read_csv_parameter] == getattr(CsvConfig(), pd_read_csv_parameter): + del pd_read_csv_kwargs[pd_read_csv_parameter] + + return pd_read_csv_kwargs + + +class Csv(datasets.ArrowBasedBuilder): + BUILDER_CONFIG_CLASS = CsvConfig + + def _info(self): + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager): + """We handle string, list and dicts in datafiles""" + if not self.config.data_files: + raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}") + dl_manager.download_config.extract_on_the_fly = True + data_files = dl_manager.download_and_extract(self.config.data_files) + splits = [] + for split_name, files in data_files.items(): + if isinstance(files, str): + files = [files] + files = [dl_manager.iter_files(file) for file in files] + splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files})) + return splits + + def _cast_table(self, pa_table: pa.Table) -> pa.Table: + if self.config.features is not None: + schema = self.config.features.arrow_schema + if all(not require_storage_cast(feature) for feature in self.config.features.values()): + # cheaper cast + pa_table = pa.Table.from_arrays([pa_table[field.name] for field in schema], schema=schema) + else: + # more expensive cast; allows str <-> int/float or str to Audio for example + pa_table = table_cast(pa_table, schema) + return pa_table + + def _generate_tables(self, files): + schema = self.config.features.arrow_schema if self.config.features else None + # dtype allows reading an int column as str + dtype = ( + { + name: dtype.to_pandas_dtype() if not require_storage_cast(feature) else object + for name, dtype, feature in zip(schema.names, schema.types, self.config.features.values()) + } + if schema is not None + else None + ) + for file_idx, file in enumerate(itertools.chain.from_iterable(files)): + csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs) + try: + for batch_idx, df in enumerate(csv_file_reader): + pa_table = pa.Table.from_pandas(df) + # Uncomment for debugging (will print the Arrow table size and elements) + # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}") + # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows))) + yield (file_idx, batch_idx), self._cast_table(pa_table) + except ValueError as e: + logger.error(f"Failed to read file '{file}' with error {type(e)}: {e}") + raise diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/folder_based_builder/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/folder_based_builder/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py new file mode 100644 index 0000000000000000000000000000000000000000..44f604e9ee56083e752ada4ffa07337b5c8d4d5e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py @@ -0,0 +1,417 @@ +import collections +import io +import itertools +import os +from dataclasses import dataclass +from typing import Any, Callable, Iterator, Optional, Union + +import pandas as pd +import pyarrow as pa +import pyarrow.dataset as ds +import pyarrow.json as paj +import pyarrow.parquet as pq + +import datasets +from datasets import config +from datasets.features.features import FeatureType, _visit, _visit_with_path, _VisitPath, require_storage_cast +from datasets.utils.file_utils import readline + + +logger = datasets.utils.logging.get_logger(__name__) + + +def count_path_segments(path): + return path.replace("\\", "/").count("/") + + +@dataclass +class FolderBasedBuilderConfig(datasets.BuilderConfig): + """BuilderConfig for AutoFolder.""" + + features: Optional[datasets.Features] = None + drop_labels: bool = None + drop_metadata: bool = None + filters: Optional[Union[ds.Expression, list[tuple], list[list[tuple]]]] = None + + def __post_init__(self): + super().__post_init__() + + +class FolderBasedBuilder(datasets.GeneratorBasedBuilder): + """ + Base class for generic data loaders for vision and image data. + + + Abstract class attributes to be overridden by a child class: + BASE_FEATURE: feature object to decode data (i.e. datasets.Image, datasets.Audio, ...) + BASE_COLUMN_NAME: string key name of a base feature (i.e. "image", "audio", ...) + BUILDER_CONFIG_CLASS: builder config inherited from `folder_based_builder.FolderBasedBuilderConfig` + EXTENSIONS: list of allowed extensions (only files with these extensions and METADATA_FILENAME files + will be included in a dataset) + """ + + BASE_FEATURE: type[FeatureType] + BASE_COLUMN_NAME: str + BUILDER_CONFIG_CLASS: FolderBasedBuilderConfig + EXTENSIONS: list[str] + + METADATA_FILENAMES: list[str] = ["metadata.csv", "metadata.jsonl", "metadata.parquet"] + + def _info(self): + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager): + if not self.config.data_files: + raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}") + dl_manager.download_config.extract_on_the_fly = True + # Do an early pass if: + # * `drop_labels` is None (default) or False, to infer the class labels + # * `drop_metadata` is None (default) or False, to find the metadata files + do_analyze = not self.config.drop_labels or not self.config.drop_metadata + labels, path_depths = set(), set() + metadata_files = collections.defaultdict(set) + + def analyze(files_or_archives, downloaded_files_or_dirs, split): + if len(downloaded_files_or_dirs) == 0: + return + # The files are separated from the archives at this point, so check the first sample + # to see if it's a file or a directory and iterate accordingly + if os.path.isfile(downloaded_files_or_dirs[0]): + original_files, downloaded_files = files_or_archives, downloaded_files_or_dirs + for original_file, downloaded_file in zip(original_files, downloaded_files): + original_file, downloaded_file = str(original_file), str(downloaded_file) + _, original_file_ext = os.path.splitext(original_file) + if original_file_ext.lower() in self.EXTENSIONS: + if not self.config.drop_labels: + labels.add(os.path.basename(os.path.dirname(original_file))) + path_depths.add(count_path_segments(original_file)) + elif os.path.basename(original_file) in self.METADATA_FILENAMES: + metadata_files[split].add((original_file, downloaded_file)) + else: + original_file_name = os.path.basename(original_file) + logger.debug( + f"The file '{original_file_name}' was ignored: it is not a {self.BASE_COLUMN_NAME}, and is not {self.METADATA_FILENAMES} either." + ) + else: + archives, downloaded_dirs = files_or_archives, downloaded_files_or_dirs + for archive, downloaded_dir in zip(archives, downloaded_dirs): + archive, downloaded_dir = str(archive), str(downloaded_dir) + for downloaded_dir_file in dl_manager.iter_files(downloaded_dir): + _, downloaded_dir_file_ext = os.path.splitext(downloaded_dir_file) + if downloaded_dir_file_ext in self.EXTENSIONS: + if not self.config.drop_labels: + labels.add(os.path.basename(os.path.dirname(downloaded_dir_file))) + path_depths.add(count_path_segments(downloaded_dir_file)) + elif os.path.basename(downloaded_dir_file) in self.METADATA_FILENAMES: + metadata_files[split].add((None, downloaded_dir_file)) + else: + archive_file_name = os.path.basename(archive) + original_file_name = os.path.basename(downloaded_dir_file) + logger.debug( + f"The file '{original_file_name}' from the archive '{archive_file_name}' was ignored: it is not a {self.BASE_COLUMN_NAME}, and is not {self.METADATA_FILENAMES} either." + ) + + data_files = self.config.data_files + splits = [] + for split_name, files in data_files.items(): + if isinstance(files, str): + files = [files] + files, archives = self._split_files_and_archives(files) + downloaded_files = dl_manager.download(files) + downloaded_dirs = dl_manager.download_and_extract(archives) + if do_analyze: # drop_metadata is None or False, drop_labels is None or False + logger.info(f"Searching for labels and/or metadata files in {split_name} data files...") + analyze(files, downloaded_files, split_name) + analyze(archives, downloaded_dirs, split_name) + + if metadata_files: + # add metadata if `metadata_files` are found and `drop_metadata` is None (default) or False + add_metadata = not self.config.drop_metadata + # if `metadata_files` are found, don't add labels + add_labels = False + else: + # if `metadata_files` are not found, don't add metadata + add_metadata = False + # if `metadata_files` are not found and `drop_labels` is None (default) - + # add labels if files are on the same level in directory hierarchy and there is more than one label + add_labels = ( + (len(labels) > 1 and len(path_depths) == 1) + if self.config.drop_labels is None + else not self.config.drop_labels + ) + + if add_labels: + logger.info("Adding the labels inferred from data directories to the dataset's features...") + if add_metadata: + logger.info("Adding metadata to the dataset...") + else: + add_labels, add_metadata, metadata_files = False, False, {} + + splits.append( + datasets.SplitGenerator( + name=split_name, + gen_kwargs={ + "files": tuple(zip(files, downloaded_files)) + + tuple((None, dl_manager.iter_files(downloaded_dir)) for downloaded_dir in downloaded_dirs), + "metadata_files": metadata_files.get(split_name, []), + "add_labels": add_labels, + "add_metadata": add_metadata, + }, + ) + ) + + if add_metadata: + # Verify that: + # * all metadata files have the same set of features in each split + # * the `file_name` key is one of the metadata keys and is of type string + features_per_metadata_file: list[tuple[str, datasets.Features]] = [] + + # Check that all metadata files share the same format + metadata_ext = { + os.path.splitext(original_metadata_file or downloaded_metadata_file)[-1] + for original_metadata_file, downloaded_metadata_file in itertools.chain.from_iterable( + metadata_files.values() + ) + } + if len(metadata_ext) > 1: + raise ValueError(f"Found metadata files with different extensions: {list(metadata_ext)}") + metadata_ext = metadata_ext.pop() + + for split_metadata_files in metadata_files.values(): + pa_metadata_table = None + for _, downloaded_metadata_file in split_metadata_files: + for pa_metadata_table in self._read_metadata(downloaded_metadata_file, metadata_ext=metadata_ext): + break # just fetch the first rows + if pa_metadata_table is not None: + features_per_metadata_file.append( + (downloaded_metadata_file, datasets.Features.from_arrow_schema(pa_metadata_table.schema)) + ) + break # no need to fetch all the files + for downloaded_metadata_file, metadata_features in features_per_metadata_file: + if metadata_features != features_per_metadata_file[0][1]: + raise ValueError( + f"Metadata files {downloaded_metadata_file} and {features_per_metadata_file[0][0]} have different features: {features_per_metadata_file[0]} != {metadata_features}" + ) + metadata_features = features_per_metadata_file[0][1] + feature_not_found = True + + def _set_feature(feature): + nonlocal feature_not_found + if isinstance(feature, dict): + out = type(feature)() + for key in feature: + if (key == "file_name" or key.endswith("_file_name")) and feature[key] == datasets.Value( + "string" + ): + key = key[: -len("_file_name")] or self.BASE_COLUMN_NAME + out[key] = self.BASE_FEATURE() + feature_not_found = False + elif (key == "file_names" or key.endswith("_file_names")) and feature[ + key + ] == datasets.Sequence(datasets.Value("string")): + key = key[: -len("_file_names")] or (self.BASE_COLUMN_NAME + "s") + out[key] = datasets.Sequence(self.BASE_FEATURE()) + feature_not_found = False + elif (key == "file_names" or key.endswith("_file_names")) and feature[key] == [ + datasets.Value("string") + ]: + key = key[: -len("_file_names")] or (self.BASE_COLUMN_NAME + "s") + out[key] = [self.BASE_FEATURE()] + feature_not_found = False + else: + out[key] = feature[key] + return out + return feature + + metadata_features = _visit(metadata_features, _set_feature) + + if feature_not_found: + raise ValueError( + "`file_name` or `*_file_name` must be present as dictionary key (with type string) in metadata files" + ) + else: + metadata_features = None + + # Normally, we would do this in _info, but we need to know the labels and/or metadata + # before building the features + if self.config.features is None: + if add_metadata: + self.info.features = metadata_features + elif add_labels: + self.info.features = datasets.Features( + { + self.BASE_COLUMN_NAME: self.BASE_FEATURE(), + "label": datasets.ClassLabel(names=sorted(labels)), + } + ) + else: + self.info.features = datasets.Features({self.BASE_COLUMN_NAME: self.BASE_FEATURE()}) + + return splits + + def _split_files_and_archives(self, data_files): + files, archives = [], [] + for data_file in data_files: + _, data_file_ext = os.path.splitext(data_file) + if data_file_ext.lower() in self.EXTENSIONS: + files.append(data_file) + elif os.path.basename(data_file) in self.METADATA_FILENAMES: + files.append(data_file) + else: + archives.append(data_file) + return files, archives + + def _read_metadata(self, metadata_file: str, metadata_ext: str = "") -> Iterator[pa.Table]: + """using the same logic as the Csv, Json and Parquet dataset builders to stream the data""" + if self.config.filters is not None: + filter_expr = ( + pq.filters_to_expression(self.config.filters) + if isinstance(self.config.filters, list) + else self.config.filters + ) + else: + filter_expr = None + if metadata_ext == ".csv": + chunksize = 10_000 # 10k lines + schema = self.config.features.arrow_schema if self.config.features else None + # dtype allows reading an int column as str + dtype = ( + { + name: dtype.to_pandas_dtype() if not require_storage_cast(feature) else object + for name, dtype, feature in zip(schema.names, schema.types, self.config.features.values()) + } + if schema is not None + else None + ) + csv_file_reader = pd.read_csv(metadata_file, iterator=True, dtype=dtype, chunksize=chunksize) + for df in csv_file_reader: + pa_table = pa.Table.from_pandas(df) + if self.config.filters is not None: + pa_table = pa_table.filter(filter_expr) + if len(pa_table) > 0: + yield pa_table + elif metadata_ext == ".jsonl": + with open(metadata_file, "rb") as f: + chunksize: int = 10 << 20 # 10MB + # Use block_size equal to the chunk size divided by 32 to leverage multithreading + # Set a default minimum value of 16kB if the chunk size is really small + block_size = max(chunksize // 32, 16 << 10) + while True: + batch = f.read(chunksize) + if not batch: + break + # Finish current line + try: + batch += f.readline() + except (AttributeError, io.UnsupportedOperation): + batch += readline(f) + while True: + try: + pa_table = paj.read_json( + io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size) + ) + break + except (pa.ArrowInvalid, pa.ArrowNotImplementedError) as e: + if ( + isinstance(e, pa.ArrowInvalid) + and "straddling" not in str(e) + or block_size > len(batch) + ): + raise + else: + # Increase the block size in case it was too small. + # The block size will be reset for the next file. + logger.debug( + f"Batch of {len(batch)} bytes couldn't be parsed with block_size={block_size}. Retrying with block_size={block_size * 2}." + ) + block_size *= 2 + if self.config.filters is not None: + pa_table = pa_table.filter(filter_expr) + if len(pa_table) > 0: + yield pa_table + else: + with open(metadata_file, "rb") as f: + parquet_fragment = ds.ParquetFileFormat().make_fragment(f) + if parquet_fragment.row_groups: + batch_size = parquet_fragment.row_groups[0].num_rows + else: + batch_size = config.DEFAULT_MAX_BATCH_SIZE + for record_batch in parquet_fragment.to_batches( + batch_size=batch_size, + filter=filter_expr, + batch_readahead=0, + fragment_readahead=0, + ): + yield pa.Table.from_batches([record_batch]) + + def _generate_examples(self, files, metadata_files, add_metadata, add_labels): + sample_idx = 0 + if add_metadata: + feature_paths = [] + + def find_feature_path(feature, feature_path): + nonlocal feature_paths + if feature_path and isinstance(feature, self.BASE_FEATURE): + feature_paths.append(feature_path) + + _visit_with_path(self.info.features, find_feature_path) + + for original_metadata_file, downloaded_metadata_file in metadata_files: + metadata_ext = os.path.splitext(original_metadata_file or downloaded_metadata_file)[-1] + downloaded_metadata_dir = os.path.dirname(downloaded_metadata_file) + + def set_feature(item, feature_path: _VisitPath): + if len(feature_path) == 2 and isinstance(feature_path[0], str) and feature_path[1] == 0: + item[feature_path[0]] = item.pop("file_names", None) or item.pop( + feature_path[0] + "_file_names", None + ) + elif len(feature_path) == 1 and isinstance(feature_path[0], str): + item[feature_path[0]] = item.pop("file_name", None) or item.pop( + feature_path[0] + "_file_name", None + ) + elif len(feature_path) == 0: + file_relpath = os.path.normpath(item).replace("\\", "/") + item = os.path.join(downloaded_metadata_dir, file_relpath) + return item + + for pa_metadata_table in self._read_metadata(downloaded_metadata_file, metadata_ext=metadata_ext): + for sample in pa_metadata_table.to_pylist(): + for feature_path in feature_paths: + _nested_apply(sample, feature_path, set_feature) + yield sample_idx, sample + sample_idx += 1 + else: + if self.config.filters is not None: + filter_expr = ( + pq.filters_to_expression(self.config.filters) + if isinstance(self.config.filters, list) + else self.config.filters + ) + for original_file, downloaded_file_or_dir in files: + downloaded_files = [downloaded_file_or_dir] if original_file else downloaded_file_or_dir + for downloaded_file in downloaded_files: + original_file_ext = os.path.splitext(original_file or downloaded_file)[-1] + if original_file_ext.lower() not in self.EXTENSIONS: + continue + sample = {self.BASE_COLUMN_NAME: downloaded_file} + if add_labels: + sample["label"] = os.path.basename(os.path.dirname(original_file or downloaded_file)) + if self.config.filters is not None: + pa_table = pa.Table.from_pylist([sample]).filter(filter_expr) + if len(pa_table) == 0: + continue + yield sample_idx, sample + sample_idx += 1 + + +def _nested_apply(item: Any, feature_path: _VisitPath, func: Callable[[Any, _VisitPath], Any]): + # see _visit_with_path() to see how feature paths are constructed + item = func(item, feature_path) + if feature_path: + key = feature_path[0] + if key == 0: + for i in range(len(item)): + item[i] = _nested_apply(item[i], feature_path[1:], func) + else: + item[key] = _nested_apply(item[key], feature_path[1:], func) + return item diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/generator/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/generator/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/generator/generator.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/generator/generator.py new file mode 100644 index 0000000000000000000000000000000000000000..dac3f0d92dfea56636e24c9c8e0cba9e46e96a90 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/generator/generator.py @@ -0,0 +1,33 @@ +from dataclasses import dataclass +from typing import Callable, Optional + +import datasets + + +@dataclass +class GeneratorConfig(datasets.BuilderConfig): + generator: Optional[Callable] = None + gen_kwargs: Optional[dict] = None + features: Optional[datasets.Features] = None + split: datasets.NamedSplit = datasets.Split.TRAIN + + def __post_init__(self): + super().__post_init__() + if self.generator is None: + raise ValueError("generator must be specified") + + if self.gen_kwargs is None: + self.gen_kwargs = {} + + +class Generator(datasets.GeneratorBasedBuilder): + BUILDER_CONFIG_CLASS = GeneratorConfig + + def _info(self): + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager): + return [datasets.SplitGenerator(name=self.config.split, gen_kwargs=self.config.gen_kwargs)] + + def _generate_examples(self, **gen_kwargs): + yield from enumerate(self.config.generator(**gen_kwargs)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/imagefolder/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/imagefolder/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/imagefolder/imagefolder.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/imagefolder/imagefolder.py new file mode 100644 index 0000000000000000000000000000000000000000..aba9452ad4e12833c60ef78df8b3a0cae519f4a4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/imagefolder/imagefolder.py @@ -0,0 +1,103 @@ +import datasets + +from ..folder_based_builder import folder_based_builder + + +logger = datasets.utils.logging.get_logger(__name__) + + +class ImageFolderConfig(folder_based_builder.FolderBasedBuilderConfig): + """BuilderConfig for ImageFolder.""" + + drop_labels: bool = None + drop_metadata: bool = None + + def __post_init__(self): + super().__post_init__() + + +class ImageFolder(folder_based_builder.FolderBasedBuilder): + BASE_FEATURE = datasets.Image + BASE_COLUMN_NAME = "image" + BUILDER_CONFIG_CLASS = ImageFolderConfig + EXTENSIONS: list[str] # definition at the bottom of the script + + +# Obtained with: +# ``` +# import PIL.Image +# IMAGE_EXTENSIONS = [] +# PIL.Image.init() +# for ext, format in PIL.Image.EXTENSION.items(): +# if format in PIL.Image.OPEN: +# IMAGE_EXTENSIONS.append(ext[1:]) +# ``` +# We intentionally do not run this code on launch because: +# (1) Pillow is an optional dependency, so importing Pillow in global namespace is not allowed +# (2) To ensure the list of supported extensions is deterministic +IMAGE_EXTENSIONS = [ + ".blp", + ".bmp", + ".dib", + ".bufr", + ".cur", + ".pcx", + ".dcx", + ".dds", + ".ps", + ".eps", + ".fit", + ".fits", + ".fli", + ".flc", + ".ftc", + ".ftu", + ".gbr", + ".gif", + ".grib", + # ".h5", # may contain zero or several images + # ".hdf", # may contain zero or several images + ".png", + ".apng", + ".jp2", + ".j2k", + ".jpc", + ".jpf", + ".jpx", + ".j2c", + ".icns", + ".ico", + ".im", + ".iim", + ".tif", + ".tiff", + ".jfif", + ".jpe", + ".jpg", + ".jpeg", + ".mpg", + ".mpeg", + ".msp", + ".pcd", + ".pxr", + ".pbm", + ".pgm", + ".ppm", + ".pnm", + ".psd", + ".bw", + ".rgb", + ".rgba", + ".sgi", + ".ras", + ".tga", + ".icb", + ".vda", + ".vst", + ".webp", + ".wmf", + ".emf", + ".xbm", + ".xpm", +] +ImageFolder.EXTENSIONS = IMAGE_EXTENSIONS diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/json/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/json/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/json/json.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/json/json.py new file mode 100644 index 0000000000000000000000000000000000000000..426083fc718780eb9cafed860374ef2fe6c37dd2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/json/json.py @@ -0,0 +1,178 @@ +import io +import itertools +from dataclasses import dataclass +from typing import Optional + +import pandas as pd +import pyarrow as pa +import pyarrow.json as paj + +import datasets +import datasets.config +from datasets.table import table_cast +from datasets.utils.file_utils import readline + + +logger = datasets.utils.logging.get_logger(__name__) + + +def ujson_dumps(*args, **kwargs): + try: + return pd.io.json.ujson_dumps(*args, **kwargs) + except AttributeError: + # Before pandas-2.2.0, ujson_dumps was renamed to dumps: import ujson_dumps as dumps + return pd.io.json.dumps(*args, **kwargs) + + +def ujson_loads(*args, **kwargs): + try: + return pd.io.json.ujson_loads(*args, **kwargs) + except AttributeError: + # Before pandas-2.2.0, ujson_loads was renamed to loads: import ujson_loads as loads + return pd.io.json.loads(*args, **kwargs) + + +def pandas_read_json(path_or_buf, **kwargs): + if datasets.config.PANDAS_VERSION.major >= 2: + kwargs["dtype_backend"] = "pyarrow" + return pd.read_json(path_or_buf, **kwargs) + + +@dataclass +class JsonConfig(datasets.BuilderConfig): + """BuilderConfig for JSON.""" + + features: Optional[datasets.Features] = None + encoding: str = "utf-8" + encoding_errors: Optional[str] = None + field: Optional[str] = None + use_threads: bool = True # deprecated + block_size: Optional[int] = None # deprecated + chunksize: int = 10 << 20 # 10MB + newlines_in_values: Optional[bool] = None + + def __post_init__(self): + super().__post_init__() + + +class Json(datasets.ArrowBasedBuilder): + BUILDER_CONFIG_CLASS = JsonConfig + + def _info(self): + if self.config.block_size is not None: + logger.warning("The JSON loader parameter `block_size` is deprecated. Please use `chunksize` instead") + self.config.chunksize = self.config.block_size + if self.config.use_threads is not True: + logger.warning( + "The JSON loader parameter `use_threads` is deprecated and doesn't have any effect anymore." + ) + if self.config.newlines_in_values is not None: + raise ValueError("The JSON loader parameter `newlines_in_values` is no longer supported") + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager): + """We handle string, list and dicts in datafiles""" + if not self.config.data_files: + raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}") + dl_manager.download_config.extract_on_the_fly = True + data_files = dl_manager.download_and_extract(self.config.data_files) + splits = [] + for split_name, files in data_files.items(): + if isinstance(files, str): + files = [files] + files = [dl_manager.iter_files(file) for file in files] + splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files})) + return splits + + def _cast_table(self, pa_table: pa.Table) -> pa.Table: + if self.config.features is not None: + # adding missing columns + for column_name in set(self.config.features) - set(pa_table.column_names): + type = self.config.features.arrow_schema.field(column_name).type + pa_table = pa_table.append_column(column_name, pa.array([None] * len(pa_table), type=type)) + # more expensive cast to support nested structures with keys in a different order + # allows str <-> int/float or str to Audio for example + pa_table = table_cast(pa_table, self.config.features.arrow_schema) + return pa_table + + def _generate_tables(self, files): + for file_idx, file in enumerate(itertools.chain.from_iterable(files)): + # If the file is one json object and if we need to look at the items in one specific field + if self.config.field is not None: + with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f: + dataset = ujson_loads(f.read()) + # We keep only the field we are interested in + dataset = dataset[self.config.field] + df = pandas_read_json(io.StringIO(ujson_dumps(dataset))) + if df.columns.tolist() == [0]: + df.columns = list(self.config.features) if self.config.features else ["text"] + pa_table = pa.Table.from_pandas(df, preserve_index=False) + yield file_idx, self._cast_table(pa_table) + + # If the file has one json object per line + else: + with open(file, "rb") as f: + batch_idx = 0 + # Use block_size equal to the chunk size divided by 32 to leverage multithreading + # Set a default minimum value of 16kB if the chunk size is really small + block_size = max(self.config.chunksize // 32, 16 << 10) + encoding_errors = ( + self.config.encoding_errors if self.config.encoding_errors is not None else "strict" + ) + while True: + batch = f.read(self.config.chunksize) + if not batch: + break + # Finish current line + try: + batch += f.readline() + except (AttributeError, io.UnsupportedOperation): + batch += readline(f) + # PyArrow only accepts utf-8 encoded bytes + if self.config.encoding != "utf-8": + batch = batch.decode(self.config.encoding, errors=encoding_errors).encode("utf-8") + try: + while True: + try: + pa_table = paj.read_json( + io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size) + ) + break + except (pa.ArrowInvalid, pa.ArrowNotImplementedError) as e: + if ( + isinstance(e, pa.ArrowInvalid) + and "straddling" not in str(e) + or block_size > len(batch) + ): + raise + else: + # Increase the block size in case it was too small. + # The block size will be reset for the next file. + logger.debug( + f"Batch of {len(batch)} bytes couldn't be parsed with block_size={block_size}. Retrying with block_size={block_size * 2}." + ) + block_size *= 2 + except pa.ArrowInvalid as e: + try: + with open( + file, encoding=self.config.encoding, errors=self.config.encoding_errors + ) as f: + df = pandas_read_json(f) + except ValueError: + logger.error(f"Failed to load JSON from file '{file}' with error {type(e)}: {e}") + raise e + if df.columns.tolist() == [0]: + df.columns = list(self.config.features) if self.config.features else ["text"] + try: + pa_table = pa.Table.from_pandas(df, preserve_index=False) + except pa.ArrowInvalid as e: + logger.error( + f"Failed to convert pandas DataFrame to Arrow Table from file '{file}' with error {type(e)}: {e}" + ) + raise ValueError( + f"Failed to convert pandas DataFrame to Arrow Table from file {file}." + ) from None + yield file_idx, self._cast_table(pa_table) + break + yield (file_idx, batch_idx), self._cast_table(pa_table) + batch_idx += 1 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/pandas/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/pandas/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/pandas/pandas.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/pandas/pandas.py new file mode 100644 index 0000000000000000000000000000000000000000..d1eb50d33c899d83421167bf6dc70680e437e1e4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/pandas/pandas.py @@ -0,0 +1,65 @@ +import itertools +import warnings +from dataclasses import dataclass +from typing import Optional + +import pandas as pd +import pyarrow as pa + +import datasets +from datasets.table import table_cast + + +@dataclass +class PandasConfig(datasets.BuilderConfig): + """BuilderConfig for Pandas.""" + + features: Optional[datasets.Features] = None + + def __post_init__(self): + super().__post_init__() + + +class Pandas(datasets.ArrowBasedBuilder): + BUILDER_CONFIG_CLASS = PandasConfig + + def _info(self): + warnings.warn( + "The Pandas builder is deprecated and will be removed in the next major version of datasets.", + FutureWarning, + ) + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager): + """We handle string, list and dicts in datafiles""" + if not self.config.data_files: + raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}") + data_files = dl_manager.download_and_extract(self.config.data_files) + if isinstance(data_files, (str, list, tuple)): + files = data_files + if isinstance(files, str): + files = [files] + # Use `dl_manager.iter_files` to skip hidden files in an extracted archive + files = [dl_manager.iter_files(file) for file in files] + return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"files": files})] + splits = [] + for split_name, files in data_files.items(): + if isinstance(files, str): + files = [files] + # Use `dl_manager.iter_files` to skip hidden files in an extracted archive + files = [dl_manager.iter_files(file) for file in files] + splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files})) + return splits + + def _cast_table(self, pa_table: pa.Table) -> pa.Table: + if self.config.features is not None: + # more expensive cast to support nested features with keys in a different order + # allows str <-> int/float or str to Audio for example + pa_table = table_cast(pa_table, self.config.features.arrow_schema) + return pa_table + + def _generate_tables(self, files): + for i, file in enumerate(itertools.chain.from_iterable(files)): + with open(file, "rb") as f: + pa_table = pa.Table.from_pandas(pd.read_pickle(f)) + yield i, self._cast_table(pa_table) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/parquet/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/parquet/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/parquet/parquet.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/parquet/parquet.py new file mode 100644 index 0000000000000000000000000000000000000000..10797753657cf04e7bf7fa6444dc5eb4d286949b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/parquet/parquet.py @@ -0,0 +1,109 @@ +import itertools +from dataclasses import dataclass +from typing import Optional, Union + +import pyarrow as pa +import pyarrow.dataset as ds +import pyarrow.parquet as pq + +import datasets +from datasets.table import table_cast + + +logger = datasets.utils.logging.get_logger(__name__) + + +@dataclass +class ParquetConfig(datasets.BuilderConfig): + """BuilderConfig for Parquet.""" + + batch_size: Optional[int] = None + columns: Optional[list[str]] = None + features: Optional[datasets.Features] = None + filters: Optional[Union[ds.Expression, list[tuple], list[list[tuple]]]] = None + + def __post_init__(self): + super().__post_init__() + + +class Parquet(datasets.ArrowBasedBuilder): + BUILDER_CONFIG_CLASS = ParquetConfig + + def _info(self): + if ( + self.config.columns is not None + and self.config.features is not None + and set(self.config.columns) != set(self.config.features) + ): + raise ValueError( + "The columns and features argument must contain the same columns, but got ", + f"{self.config.columns} and {self.config.features}", + ) + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager): + """We handle string, list and dicts in datafiles""" + if not self.config.data_files: + raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}") + dl_manager.download_config.extract_on_the_fly = True + data_files = dl_manager.download_and_extract(self.config.data_files) + splits = [] + for split_name, files in data_files.items(): + if isinstance(files, str): + files = [files] + # Use `dl_manager.iter_files` to skip hidden files in an extracted archive + files = [dl_manager.iter_files(file) for file in files] + # Infer features if they are stored in the arrow schema + if self.info.features is None: + for file in itertools.chain.from_iterable(files): + with open(file, "rb") as f: + self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f)) + break + splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files})) + if self.config.columns is not None and set(self.config.columns) != set(self.info.features): + self.info.features = datasets.Features( + {col: feat for col, feat in self.info.features.items() if col in self.config.columns} + ) + return splits + + def _cast_table(self, pa_table: pa.Table) -> pa.Table: + if self.info.features is not None: + # more expensive cast to support nested features with keys in a different order + # allows str <-> int/float or str to Audio for example + pa_table = table_cast(pa_table, self.info.features.arrow_schema) + return pa_table + + def _generate_tables(self, files): + if self.config.features is not None and self.config.columns is not None: + if sorted(field.name for field in self.info.features.arrow_schema) != sorted(self.config.columns): + raise ValueError( + f"Tried to load parquet data with columns '{self.config.columns}' with mismatching features '{self.info.features}'" + ) + filter_expr = ( + pq.filters_to_expression(self.config.filters) + if isinstance(self.config.filters, list) + else self.config.filters + ) + for file_idx, file in enumerate(itertools.chain.from_iterable(files)): + with open(file, "rb") as f: + parquet_fragment = ds.ParquetFileFormat().make_fragment(f) + if parquet_fragment.row_groups: + batch_size = self.config.batch_size or parquet_fragment.row_groups[0].num_rows + try: + for batch_idx, record_batch in enumerate( + parquet_fragment.to_batches( + batch_size=batch_size, + columns=self.config.columns, + filter=filter_expr, + batch_readahead=0, + fragment_readahead=0, + ) + ): + pa_table = pa.Table.from_batches([record_batch]) + # Uncomment for debugging (will print the Arrow table size and elements) + # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}") + # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows))) + yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table) + except ValueError as e: + logger.error(f"Failed to read file '{file}' with error {type(e)}: {e}") + raise diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/pdffolder/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/pdffolder/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/pdffolder/pdffolder.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/pdffolder/pdffolder.py new file mode 100644 index 0000000000000000000000000000000000000000..5aaf9c71a4df6551a53a2625b332bc51a2f02837 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/pdffolder/pdffolder.py @@ -0,0 +1,23 @@ +import datasets + +from ..folder_based_builder import folder_based_builder + + +logger = datasets.utils.logging.get_logger(__name__) + + +class PdfFolderConfig(folder_based_builder.FolderBasedBuilderConfig): + """BuilderConfig for ImageFolder.""" + + drop_labels: bool = None + drop_metadata: bool = None + + def __post_init__(self): + super().__post_init__() + + +class PdfFolder(folder_based_builder.FolderBasedBuilder): + BASE_FEATURE = datasets.Pdf + BASE_COLUMN_NAME = "pdf" + BUILDER_CONFIG_CLASS = PdfFolderConfig + EXTENSIONS: list[str] = [".pdf"] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/spark/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/spark/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/spark/spark.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/spark/spark.py new file mode 100644 index 0000000000000000000000000000000000000000..d730bfea50277dc2c4a40604cf400f4e040c20ea --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/spark/spark.py @@ -0,0 +1,367 @@ +import os +import posixpath +import uuid +from collections.abc import Iterable +from dataclasses import dataclass +from itertools import islice +from typing import TYPE_CHECKING, Optional, Union + +import numpy as np +import pyarrow as pa + +import datasets +from datasets.arrow_writer import ArrowWriter, ParquetWriter +from datasets.config import MAX_SHARD_SIZE +from datasets.filesystems import ( + is_remote_filesystem, + rename, +) +from datasets.iterable_dataset import _BaseExamplesIterable +from datasets.utils import experimental +from datasets.utils.py_utils import convert_file_size_to_int + + +logger = datasets.utils.logging.get_logger(__name__) + +if TYPE_CHECKING: + import pyspark + import pyspark.sql + + +@dataclass +class SparkConfig(datasets.BuilderConfig): + """BuilderConfig for Spark.""" + + features: Optional[datasets.Features] = None + + def __post_init__(self): + super().__post_init__() + + +def _reorder_dataframe_by_partition(df: "pyspark.sql.DataFrame", new_partition_order: list[int]): + df_combined = df.select("*").where(f"part_id = {new_partition_order[0]}") + for partition_id in new_partition_order[1:]: + partition_df = df.select("*").where(f"part_id = {partition_id}") + df_combined = df_combined.union(partition_df) + return df_combined + + +def _generate_iterable_examples( + df: "pyspark.sql.DataFrame", + partition_order: list[int], + state_dict: Optional[dict] = None, +): + import pyspark + + df_with_partition_id = df.select("*", pyspark.sql.functions.spark_partition_id().alias("part_id")) + partition_idx_start = state_dict["partition_idx"] if state_dict else 0 + partition_df = _reorder_dataframe_by_partition(df_with_partition_id, partition_order[partition_idx_start:]) + # pipeline next partition in parallel to hide latency + rows = partition_df.toLocalIterator(prefetchPartitions=True) + curr_partition = None + row_id = state_dict["partition_example_idx"] if state_dict else 0 + for row in islice(rows, row_id, None): + row_as_dict = row.asDict() + part_id = row_as_dict["part_id"] + row_as_dict.pop("part_id") + if curr_partition != part_id: + if state_dict and curr_partition is not None: + state_dict["partition_idx"] += 1 + curr_partition = part_id + row_id = 0 + if state_dict: + state_dict["partition_example_idx"] = row_id + 1 + yield f"{part_id}_{row_id}", row_as_dict + row_id += 1 + + +class SparkExamplesIterable(_BaseExamplesIterable): + def __init__( + self, + df: "pyspark.sql.DataFrame", + partition_order=None, + ): + super().__init__() + self.df = df + self.partition_order = partition_order or range(self.df.rdd.getNumPartitions()) + + def _init_state_dict(self) -> dict: + self._state_dict = {"partition_idx": 0, "partition_example_idx": 0} + return self._state_dict + + @experimental + def load_state_dict(self, state_dict: dict) -> dict: + return super().load_state_dict(state_dict) + + def __iter__(self): + yield from _generate_iterable_examples(self.df, self.partition_order, self._state_dict) + + def shuffle_data_sources(self, generator: np.random.Generator) -> "SparkExamplesIterable": + partition_order = list(range(self.df.rdd.getNumPartitions())) + generator.shuffle(partition_order) + return SparkExamplesIterable(self.df, partition_order=partition_order) + + def shard_data_sources(self, num_shards: int, index: int, contiguous=True) -> "SparkExamplesIterable": + partition_order = self.split_shard_indices_by_worker(num_shards=num_shards, index=index, contiguous=contiguous) + return SparkExamplesIterable(self.df, partition_order=partition_order) + + @property + def num_shards(self) -> int: + return len(self.partition_order) + + +class Spark(datasets.DatasetBuilder): + BUILDER_CONFIG_CLASS = SparkConfig + + def __init__( + self, + df: "pyspark.sql.DataFrame", + cache_dir: str = None, + working_dir: str = None, + **config_kwargs, + ): + import pyspark + + self._spark = pyspark.sql.SparkSession.builder.getOrCreate() + self.df = df + self._working_dir = working_dir + + super().__init__( + cache_dir=cache_dir, + config_name=str(self.df.semanticHash()), + **config_kwargs, + ) + + def _validate_cache_dir(self): + # Define this so that we don't reference self in create_cache_and_write_probe, which will result in a pickling + # error due to pickling the SparkContext. + cache_dir = self._cache_dir + + # Returns the path of the created file. + def create_cache_and_write_probe(context): + # makedirs with exist_ok will recursively create the directory. It will not throw an error if directories + # already exist. + os.makedirs(cache_dir, exist_ok=True) + probe_file = os.path.join(cache_dir, "fs_test" + uuid.uuid4().hex) + # Opening the file in append mode will create a new file unless it already exists, in which case it will not + # change the file contents. + open(probe_file, "a") + return [probe_file] + + if self._spark.conf.get("spark.master", "").startswith("local"): + return + + # If the cluster is multi-node, make sure that the user provided a cache_dir and that it is on an NFS + # accessible to the driver. + # TODO: Stream batches to the driver using ArrowCollectSerializer instead of throwing an error. + if self._cache_dir: + probe = ( + self._spark.sparkContext.parallelize(range(1), 1).mapPartitions(create_cache_and_write_probe).collect() + ) + if os.path.isfile(probe[0]): + return + + raise ValueError( + "When using Dataset.from_spark on a multi-node cluster, the driver and all workers should be able to access cache_dir" + ) + + def _info(self): + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager: datasets.download.download_manager.DownloadManager): + return [datasets.SplitGenerator(name=datasets.Split.TRAIN)] + + def _repartition_df_if_needed(self, max_shard_size): + import pyspark + + def get_arrow_batch_size(it): + for batch in it: + yield pa.RecordBatch.from_pydict({"batch_bytes": [batch.nbytes]}) + + df_num_rows = self.df.count() + sample_num_rows = df_num_rows if df_num_rows <= 100 else 100 + # Approximate the size of each row (in Arrow format) by averaging over a max-100-row sample. + approx_bytes_per_row = ( + self.df.limit(sample_num_rows) + .repartition(1) + .mapInArrow(get_arrow_batch_size, "batch_bytes: long") + .agg(pyspark.sql.functions.sum("batch_bytes").alias("sample_bytes")) + .collect()[0] + .sample_bytes + / sample_num_rows + ) + approx_total_size = approx_bytes_per_row * df_num_rows + if approx_total_size > max_shard_size: + # Make sure there is at least one row per partition. + new_num_partitions = min(df_num_rows, int(approx_total_size / max_shard_size)) + self.df = self.df.repartition(new_num_partitions) + + def _prepare_split_single( + self, + fpath: str, + file_format: str, + max_shard_size: int, + ) -> Iterable[tuple[int, bool, Union[int, tuple]]]: + import pyspark + + writer_class = ParquetWriter if file_format == "parquet" else ArrowWriter + working_fpath = os.path.join(self._working_dir, os.path.basename(fpath)) if self._working_dir else fpath + embed_local_files = file_format == "parquet" + + # Define these so that we don't reference self in write_arrow, which will result in a pickling error due to + # pickling the SparkContext. + features = self.config.features + writer_batch_size = self._writer_batch_size + storage_options = self._fs.storage_options + + def write_arrow(it): + # Within the same SparkContext, no two task attempts will share the same attempt ID. + task_id = pyspark.TaskContext().taskAttemptId() + first_batch = next(it, None) + if first_batch is None: + # Some partitions might not receive any data. + return pa.RecordBatch.from_arrays( + [[task_id], [0], [0]], + names=["task_id", "num_examples", "num_bytes"], + ) + shard_id = 0 + writer = writer_class( + features=features, + path=working_fpath.replace("SSSSS", f"{shard_id:05d}").replace("TTTTT", f"{task_id:05d}"), + writer_batch_size=writer_batch_size, + storage_options=storage_options, + embed_local_files=embed_local_files, + ) + table = pa.Table.from_batches([first_batch]) + writer.write_table(table) + for batch in it: + if max_shard_size is not None and writer._num_bytes >= max_shard_size: + num_examples, num_bytes = writer.finalize() + writer.close() + yield pa.RecordBatch.from_arrays( + [[task_id], [num_examples], [num_bytes]], + names=["task_id", "num_examples", "num_bytes"], + ) + shard_id += 1 + writer = writer_class( + features=writer._features, + path=working_fpath.replace("SSSSS", f"{shard_id:05d}").replace("TTTTT", f"{task_id:05d}"), + writer_batch_size=writer_batch_size, + storage_options=storage_options, + embed_local_files=embed_local_files, + ) + table = pa.Table.from_batches([batch]) + writer.write_table(table) + + if writer._num_bytes > 0: + num_examples, num_bytes = writer.finalize() + writer.close() + yield pa.RecordBatch.from_arrays( + [[task_id], [num_examples], [num_bytes]], + names=["task_id", "num_examples", "num_bytes"], + ) + + if working_fpath != fpath: + for file in os.listdir(os.path.dirname(working_fpath)): + dest = os.path.join(os.path.dirname(fpath), os.path.basename(file)) + shutil.move(file, dest) + + stats = ( + self.df.mapInArrow(write_arrow, "task_id: long, num_examples: long, num_bytes: long") + .groupBy("task_id") + .agg( + pyspark.sql.functions.sum("num_examples").alias("total_num_examples"), + pyspark.sql.functions.sum("num_bytes").alias("total_num_bytes"), + pyspark.sql.functions.count("num_bytes").alias("num_shards"), + pyspark.sql.functions.collect_list("num_examples").alias("shard_lengths"), + ) + .collect() + ) + for row in stats: + yield row.task_id, (row.total_num_examples, row.total_num_bytes, row.num_shards, row.shard_lengths) + + def _prepare_split( + self, + split_generator: "datasets.SplitGenerator", + file_format: str = "arrow", + max_shard_size: Optional[Union[str, int]] = None, + num_proc: Optional[int] = None, + **kwargs, + ): + self._validate_cache_dir() + + max_shard_size = convert_file_size_to_int(max_shard_size or MAX_SHARD_SIZE) + self._repartition_df_if_needed(max_shard_size) + is_local = not is_remote_filesystem(self._fs) + path_join = os.path.join if is_local else posixpath.join + + SUFFIX = "-TTTTT-SSSSS-of-NNNNN" + fname = f"{self.name}-{split_generator.name}{SUFFIX}.{file_format}" + fpath = path_join(self._output_dir, fname) + + total_num_examples = 0 + total_num_bytes = 0 + total_shards = 0 + task_id_and_num_shards = [] + all_shard_lengths = [] + + for task_id, content in self._prepare_split_single(fpath, file_format, max_shard_size): + ( + num_examples, + num_bytes, + num_shards, + shard_lengths, + ) = content + if num_bytes > 0: + total_num_examples += num_examples + total_num_bytes += num_bytes + total_shards += num_shards + task_id_and_num_shards.append((task_id, num_shards)) + all_shard_lengths.extend(shard_lengths) + + split_generator.split_info.num_examples = total_num_examples + split_generator.split_info.num_bytes = total_num_bytes + + # should rename everything at the end + logger.debug(f"Renaming {total_shards} shards.") + if total_shards > 1: + split_generator.split_info.shard_lengths = all_shard_lengths + + # Define fs outside of _rename_shard so that we don't reference self in the function, which will result in a + # pickling error due to pickling the SparkContext. + fs = self._fs + + # use the -SSSSS-of-NNNNN pattern + def _rename_shard( + task_id: int, + shard_id: int, + global_shard_id: int, + ): + rename( + fs, + fpath.replace("SSSSS", f"{shard_id:05d}").replace("TTTTT", f"{task_id:05d}"), + fpath.replace("TTTTT-SSSSS", f"{global_shard_id:05d}").replace("NNNNN", f"{total_shards:05d}"), + ) + + args = [] + global_shard_id = 0 + for i in range(len(task_id_and_num_shards)): + task_id, num_shards = task_id_and_num_shards[i] + for shard_id in range(num_shards): + args.append([task_id, shard_id, global_shard_id]) + global_shard_id += 1 + self._spark.sparkContext.parallelize(args, len(args)).map(lambda args: _rename_shard(*args)).collect() + else: + # don't use any pattern + shard_id = 0 + task_id = task_id_and_num_shards[0][0] + self._rename( + fpath.replace("SSSSS", f"{shard_id:05d}").replace("TTTTT", f"{task_id:05d}"), + fpath.replace(SUFFIX, ""), + ) + + def _get_examples_iterable_for_split( + self, + split_generator: "datasets.SplitGenerator", + ) -> SparkExamplesIterable: + return SparkExamplesIterable(self.df) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/sql/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/sql/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/sql/sql.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/sql/sql.py new file mode 100644 index 0000000000000000000000000000000000000000..d8e71664c8e1fde656f681249f56bb6d3ab07da8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/sql/sql.py @@ -0,0 +1,119 @@ +import sys +from dataclasses import dataclass +from typing import TYPE_CHECKING, Optional, Union + +import pandas as pd +import pyarrow as pa + +import datasets +import datasets.config +from datasets.features.features import require_storage_cast +from datasets.table import table_cast + + +if TYPE_CHECKING: + import sqlite3 + + import sqlalchemy + + +logger = datasets.utils.logging.get_logger(__name__) + + +@dataclass +class SqlConfig(datasets.BuilderConfig): + """BuilderConfig for SQL.""" + + sql: Union[str, "sqlalchemy.sql.Selectable"] = None + con: Union[str, "sqlalchemy.engine.Connection", "sqlalchemy.engine.Engine", "sqlite3.Connection"] = None + index_col: Optional[Union[str, list[str]]] = None + coerce_float: bool = True + params: Optional[Union[list, tuple, dict]] = None + parse_dates: Optional[Union[list, dict]] = None + columns: Optional[list[str]] = None + chunksize: Optional[int] = 10_000 + features: Optional[datasets.Features] = None + + def __post_init__(self): + super().__post_init__() + if self.sql is None: + raise ValueError("sql must be specified") + if self.con is None: + raise ValueError("con must be specified") + + def create_config_id( + self, + config_kwargs: dict, + custom_features: Optional[datasets.Features] = None, + ) -> str: + config_kwargs = config_kwargs.copy() + # We need to stringify the Selectable object to make its hash deterministic + + # The process of stringifying is explained here: http://docs.sqlalchemy.org/en/latest/faq/sqlexpressions.html + sql = config_kwargs["sql"] + if not isinstance(sql, str): + if datasets.config.SQLALCHEMY_AVAILABLE and "sqlalchemy" in sys.modules: + import sqlalchemy + + if isinstance(sql, sqlalchemy.sql.Selectable): + engine = sqlalchemy.create_engine(config_kwargs["con"].split("://")[0] + "://") + sql_str = str(sql.compile(dialect=engine.dialect)) + config_kwargs["sql"] = sql_str + else: + raise TypeError( + f"Supported types for 'sql' are string and sqlalchemy.sql.Selectable but got {type(sql)}: {sql}" + ) + else: + raise TypeError( + f"Supported types for 'sql' are string and sqlalchemy.sql.Selectable but got {type(sql)}: {sql}" + ) + con = config_kwargs["con"] + if not isinstance(con, str): + config_kwargs["con"] = id(con) + logger.info( + f"SQL connection 'con' of type {type(con)} couldn't be hashed properly. To enable hashing, specify 'con' as URI string instead." + ) + + return super().create_config_id(config_kwargs, custom_features=custom_features) + + @property + def pd_read_sql_kwargs(self): + pd_read_sql_kwargs = { + "index_col": self.index_col, + "columns": self.columns, + "params": self.params, + "coerce_float": self.coerce_float, + "parse_dates": self.parse_dates, + } + return pd_read_sql_kwargs + + +class Sql(datasets.ArrowBasedBuilder): + BUILDER_CONFIG_CLASS = SqlConfig + + def _info(self): + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager): + return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={})] + + def _cast_table(self, pa_table: pa.Table) -> pa.Table: + if self.config.features is not None: + schema = self.config.features.arrow_schema + if all(not require_storage_cast(feature) for feature in self.config.features.values()): + # cheaper cast + pa_table = pa.Table.from_arrays([pa_table[field.name] for field in schema], schema=schema) + else: + # more expensive cast; allows str <-> int/float or str to Audio for example + pa_table = table_cast(pa_table, schema) + return pa_table + + def _generate_tables(self): + chunksize = self.config.chunksize + sql_reader = pd.read_sql( + self.config.sql, self.config.con, chunksize=chunksize, **self.config.pd_read_sql_kwargs + ) + sql_reader = [sql_reader] if chunksize is None else sql_reader + for chunk_idx, df in enumerate(sql_reader): + pa_table = pa.Table.from_pandas(df) + yield chunk_idx, self._cast_table(pa_table) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/text/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/text/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/text/text.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/text/text.py new file mode 100644 index 0000000000000000000000000000000000000000..a1f3ff5a744042abd6a9bbbb9ab074fa624a0541 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/text/text.py @@ -0,0 +1,112 @@ +import itertools +from dataclasses import dataclass +from io import StringIO +from typing import Optional + +import pyarrow as pa + +import datasets +from datasets.features.features import require_storage_cast +from datasets.table import table_cast + + +logger = datasets.utils.logging.get_logger(__name__) + + +@dataclass +class TextConfig(datasets.BuilderConfig): + """BuilderConfig for text files.""" + + features: Optional[datasets.Features] = None + encoding: str = "utf-8" + encoding_errors: Optional[str] = None + chunksize: int = 10 << 20 # 10MB + keep_linebreaks: bool = False + sample_by: str = "line" + + +class Text(datasets.ArrowBasedBuilder): + BUILDER_CONFIG_CLASS = TextConfig + + def _info(self): + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager): + """The `data_files` kwarg in load_dataset() can be a str, List[str], Dict[str,str], or Dict[str,List[str]]. + + If str or List[str], then the dataset returns only the 'train' split. + If dict, then keys should be from the `datasets.Split` enum. + """ + if not self.config.data_files: + raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}") + dl_manager.download_config.extract_on_the_fly = True + data_files = dl_manager.download_and_extract(self.config.data_files) + splits = [] + for split_name, files in data_files.items(): + if isinstance(files, str): + files = [files] + files = [dl_manager.iter_files(file) for file in files] + splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files})) + return splits + + def _cast_table(self, pa_table: pa.Table) -> pa.Table: + if self.config.features is not None: + schema = self.config.features.arrow_schema + if all(not require_storage_cast(feature) for feature in self.config.features.values()): + # cheaper cast + pa_table = pa_table.cast(schema) + else: + # more expensive cast; allows str <-> int/float or str to Audio for example + pa_table = table_cast(pa_table, schema) + return pa_table + else: + return pa_table.cast(pa.schema({"text": pa.string()})) + + def _generate_tables(self, files): + pa_table_names = list(self.config.features) if self.config.features is not None else ["text"] + for file_idx, file in enumerate(itertools.chain.from_iterable(files)): + # open in text mode, by default translates universal newlines ("\n", "\r\n" and "\r") into "\n" + with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f: + if self.config.sample_by == "line": + batch_idx = 0 + while True: + batch = f.read(self.config.chunksize) + if not batch: + break + batch += f.readline() # finish current line + # StringIO.readlines, by default splits only on "\n" (and keeps line breaks) + batch = StringIO(batch).readlines() + if not self.config.keep_linebreaks: + batch = [line.rstrip("\n") for line in batch] + pa_table = pa.Table.from_arrays([pa.array(batch)], names=pa_table_names) + # Uncomment for debugging (will print the Arrow table size and elements) + # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}") + # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows))) + yield (file_idx, batch_idx), self._cast_table(pa_table) + batch_idx += 1 + elif self.config.sample_by == "paragraph": + batch_idx = 0 + batch = "" + while True: + new_batch = f.read(self.config.chunksize) + if not new_batch: + break + batch += new_batch + batch += f.readline() # finish current line + batch = batch.split("\n\n") + pa_table = pa.Table.from_arrays( + [pa.array([example for example in batch[:-1] if example])], names=pa_table_names + ) + # Uncomment for debugging (will print the Arrow table size and elements) + # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}") + # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows))) + yield (file_idx, batch_idx), self._cast_table(pa_table) + batch_idx += 1 + batch = batch[-1] + if batch: + pa_table = pa.Table.from_arrays([pa.array([batch])], names=pa_table_names) + yield (file_idx, batch_idx), self._cast_table(pa_table) + elif self.config.sample_by == "document": + text = f.read() + pa_table = pa.Table.from_arrays([pa.array([text])], names=pa_table_names) + yield file_idx, self._cast_table(pa_table) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/videofolder/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/videofolder/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/videofolder/videofolder.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/videofolder/videofolder.py new file mode 100644 index 0000000000000000000000000000000000000000..099a17a8d09e981b34c4a40a3f5e8c948d0efa5d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/videofolder/videofolder.py @@ -0,0 +1,34 @@ +import datasets + +from ..folder_based_builder import folder_based_builder + + +logger = datasets.utils.logging.get_logger(__name__) + + +class VideoFolderConfig(folder_based_builder.FolderBasedBuilderConfig): + """BuilderConfig for ImageFolder.""" + + drop_labels: bool = None + drop_metadata: bool = None + + def __post_init__(self): + super().__post_init__() + + +class VideoFolder(folder_based_builder.FolderBasedBuilder): + BASE_FEATURE = datasets.Video + BASE_COLUMN_NAME = "video" + BUILDER_CONFIG_CLASS = VideoFolderConfig + EXTENSIONS: list[str] # definition at the bottom of the script + + +# TODO: initial list, we should check the compatibility of other formats +VIDEO_EXTENSIONS = [ + ".mkv", + ".mp4", + ".avi", + ".mpeg", + ".mov", +] +VideoFolder.EXTENSIONS = VIDEO_EXTENSIONS diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/webdataset/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/webdataset/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/webdataset/_tenbin.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/webdataset/_tenbin.py new file mode 100644 index 0000000000000000000000000000000000000000..cd8c054842e090dc09bdf3d2fee59241a1a928c5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/webdataset/_tenbin.py @@ -0,0 +1,285 @@ +# +# Copyright (c) 2017-2021 NVIDIA CORPORATION. All rights reserved. +# This file coems from the WebDataset library. +# See the LICENSE file for licensing terms (BSD-style). +# + +""" +Binary tensor encodings for PyTorch and NumPy. + +This defines efficient binary encodings for tensors. The format is 8 byte +aligned and can be used directly for computations when transmitted, say, +via RDMA. The format is supported by WebDataset with the `.ten` filename +extension. It is also used by Tensorcom, Tensorcom RDMA, and can be used +for fast tensor storage with LMDB and in disk files (which can be memory +mapped) + +Data is encoded as a series of chunks: + +- magic number (int64) +- length in bytes (int64) +- bytes (multiple of 64 bytes long) + +Arrays are a header chunk followed by a data chunk. +Header chunks have the following structure: + +- dtype (int64) +- 8 byte array name +- ndim (int64) +- dim[0] +- dim[1] +- ... +""" + +import struct +import sys + +import numpy as np + + +def bytelen(a): + """Determine the length of a in bytes.""" + if hasattr(a, "nbytes"): + return a.nbytes + elif isinstance(a, (bytearray, bytes)): + return len(a) + else: + raise ValueError(a, "cannot determine nbytes") + + +def bytedata(a): + """Return a the raw data corresponding to a.""" + if isinstance(a, (bytearray, bytes, memoryview)): + return a + elif hasattr(a, "data"): + return a.data + else: + raise ValueError(a, "cannot return bytedata") + + +# tables for converting between long/short NumPy dtypes + +long_to_short = """ +float16 f2 +float32 f4 +float64 f8 +int8 i1 +int16 i2 +int32 i4 +int64 i8 +uint8 u1 +uint16 u2 +unit32 u4 +uint64 u8 +""".strip() +long_to_short = [x.split() for x in long_to_short.split("\n")] +long_to_short = {x[0]: x[1] for x in long_to_short} +short_to_long = {v: k for k, v in long_to_short.items()} + + +def check_acceptable_input_type(data, allow64): + """Check that the data has an acceptable type for tensor encoding. + + :param data: array + :param allow64: allow 64 bit types + """ + for a in data: + if a.dtype.name not in long_to_short: + raise ValueError("unsupported dataypte") + if not allow64 and a.dtype.name not in ["float64", "int64", "uint64"]: + raise ValueError("64 bit datatypes not allowed unless explicitly enabled") + + +def str64(s): + """Convert a string to an int64.""" + s = s + "\0" * (8 - len(s)) + s = s.encode("ascii") + return struct.unpack("@q", s)[0] + + +def unstr64(i): + """Convert an int64 to a string.""" + b = struct.pack("@q", i) + return b.decode("ascii").strip("\0") + + +def check_infos(data, infos, required_infos=None): + """Verify the info strings.""" + if required_infos is False or required_infos is None: + return data + if required_infos is True: + return data, infos + if not isinstance(required_infos, (tuple, list)): + raise ValueError("required_infos must be tuple or list") + for required, actual in zip(required_infos, infos): + raise ValueError(f"actual info {actual} doesn't match required info {required}") + return data + + +def encode_header(a, info=""): + """Encode an array header as a byte array.""" + if a.ndim >= 10: + raise ValueError("too many dimensions") + if a.nbytes != np.prod(a.shape) * a.itemsize: + raise ValueError("mismatch between size and shape") + if a.dtype.name not in long_to_short: + raise ValueError("unsupported array type") + header = [str64(long_to_short[a.dtype.name]), str64(info), len(a.shape)] + list(a.shape) + return bytedata(np.array(header, dtype="i8")) + + +def decode_header(h): + """Decode a byte array into an array header.""" + h = np.frombuffer(h, dtype="i8") + if unstr64(h[0]) not in short_to_long: + raise ValueError("unsupported array type") + dtype = np.dtype(short_to_long[unstr64(h[0])]) + info = unstr64(h[1]) + rank = int(h[2]) + shape = tuple(h[3 : 3 + rank]) + return shape, dtype, info + + +def encode_list(l, infos=None): # noqa: E741 + """Given a list of arrays, encode them into a list of byte arrays.""" + if infos is None: + infos = [""] + else: + if len(l) != len(infos): + raise ValueError(f"length of list {l} must muatch length of infos {infos}") + result = [] + for i, a in enumerate(l): + header = encode_header(a, infos[i % len(infos)]) + result += [header, bytedata(a)] + return result + + +def decode_list(l, infos=False): # noqa: E741 + """Given a list of byte arrays, decode them into arrays.""" + result = [] + infos0 = [] + for header, data in zip(l[::2], l[1::2]): + shape, dtype, info = decode_header(header) + a = np.frombuffer(data, dtype=dtype, count=np.prod(shape)).reshape(*shape) + result += [a] + infos0 += [info] + return check_infos(result, infos0, infos) + + +magic_str = "~TenBin~" +magic = str64(magic_str) +magic_bytes = unstr64(magic).encode("ascii") + + +def roundup(n, k=64): + """Round up to the next multiple of 64.""" + return k * ((n + k - 1) // k) + + +def encode_chunks(l): # noqa: E741 + """Encode a list of chunks into a single byte array, with lengths and magics..""" + size = sum(16 + roundup(b.nbytes) for b in l) + result = bytearray(size) + offset = 0 + for b in l: + result[offset : offset + 8] = magic_bytes + offset += 8 + result[offset : offset + 8] = struct.pack("@q", b.nbytes) + offset += 8 + result[offset : offset + bytelen(b)] = b + offset += roundup(bytelen(b)) + return result + + +def decode_chunks(buf): + """Decode a byte array into a list of chunks.""" + result = [] + offset = 0 + total = bytelen(buf) + while offset < total: + if magic_bytes != buf[offset : offset + 8]: + raise ValueError("magic bytes mismatch") + offset += 8 + nbytes = struct.unpack("@q", buf[offset : offset + 8])[0] + offset += 8 + b = buf[offset : offset + nbytes] + offset += roundup(nbytes) + result.append(b) + return result + + +def encode_buffer(l, infos=None): # noqa: E741 + """Encode a list of arrays into a single byte array.""" + if not isinstance(l, list): + raise ValueError("requires list") + return encode_chunks(encode_list(l, infos=infos)) + + +def decode_buffer(buf, infos=False): + """Decode a byte array into a list of arrays.""" + return decode_list(decode_chunks(buf), infos=infos) + + +def write_chunk(stream, buf): + """Write a byte chunk to the stream with magics, length, and padding.""" + nbytes = bytelen(buf) + stream.write(magic_bytes) + stream.write(struct.pack("@q", nbytes)) + stream.write(bytedata(buf)) + padding = roundup(nbytes) - nbytes + if padding > 0: + stream.write(b"\0" * padding) + + +def read_chunk(stream): + """Read a byte chunk from a stream with magics, length, and padding.""" + magic = stream.read(8) + if magic == b"": + return None + if magic != magic_bytes: + raise ValueError("magic number does not match") + nbytes = stream.read(8) + nbytes = struct.unpack("@q", nbytes)[0] + if nbytes < 0: + raise ValueError("negative nbytes") + data = stream.read(nbytes) + padding = roundup(nbytes) - nbytes + if padding > 0: + stream.read(padding) + return data + + +def write(stream, l, infos=None): # noqa: E741 + """Write a list of arrays to a stream, with magics, length, and padding.""" + for chunk in encode_list(l, infos=infos): + write_chunk(stream, chunk) + + +def read(stream, n=sys.maxsize, infos=False): + """Read a list of arrays from a stream, with magics, length, and padding.""" + chunks = [] + for _ in range(n): + header = read_chunk(stream) + if header is None: + break + data = read_chunk(stream) + if data is None: + raise ValueError("premature EOF") + chunks += [header, data] + return decode_list(chunks, infos=infos) + + +def save(fname, *args, infos=None, nocheck=False): + """Save a list of arrays to a file, with magics, length, and padding.""" + if not nocheck and not fname.endswith(".ten"): + raise ValueError("file name should end in .ten") + with open(fname, "wb") as stream: + write(stream, args, infos=infos) + + +def load(fname, infos=False, nocheck=False): + """Read a list of arrays from a file, with magics, length, and padding.""" + if not nocheck and not fname.endswith(".ten"): + raise ValueError("file name should end in .ten") + with open(fname, "rb") as stream: + return read(stream, infos=infos) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/webdataset/webdataset.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/webdataset/webdataset.py new file mode 100644 index 0000000000000000000000000000000000000000..571276a4cd59377d3d2672c219558681bc9d7b94 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/webdataset/webdataset.py @@ -0,0 +1,350 @@ +import io +import json +import re +from itertools import islice +from typing import Any, Callable + +import fsspec +import numpy as np +import pyarrow as pa + +import datasets +from datasets.features.features import cast_to_python_objects +from datasets.utils.file_utils import SINGLE_FILE_COMPRESSION_EXTENSION_TO_PROTOCOL, xbasename + + +logger = datasets.utils.logging.get_logger(__name__) + + +class WebDataset(datasets.GeneratorBasedBuilder): + DEFAULT_WRITER_BATCH_SIZE = 100 + IMAGE_EXTENSIONS: list[str] # definition at the bottom of the script + AUDIO_EXTENSIONS: list[str] # definition at the bottom of the script + VIDEO_EXTENSIONS: list[str] # definition at the bottom of the script + DECODERS: dict[str, Callable[[Any], Any]] # definition at the bottom of the script + NUM_EXAMPLES_FOR_FEATURES_INFERENCE = 5 + + @classmethod + def _get_pipeline_from_tar(cls, tar_path, tar_iterator): + current_example = {} + fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory") + streaming_download_manager = datasets.StreamingDownloadManager() + for filename, f in tar_iterator: + example_key, field_name = base_plus_ext(filename) + if example_key is None: + continue + if current_example and current_example["__key__"] != example_key: + # reposition some keys in last position + current_example["__key__"] = current_example.pop("__key__") + current_example["__url__"] = current_example.pop("__url__") + yield current_example + current_example = {} + current_example["__key__"] = example_key + current_example["__url__"] = tar_path + current_example[field_name.lower()] = f.read() + if field_name.split(".")[-1] in SINGLE_FILE_COMPRESSION_EXTENSION_TO_PROTOCOL: + fs.write_bytes(filename, current_example[field_name.lower()]) + extracted_file_path = streaming_download_manager.extract(f"memory://{filename}") + with fsspec.open(extracted_file_path) as f: + current_example[field_name.lower()] = f.read() + fs.delete(filename) + data_extension = xbasename(extracted_file_path).split(".")[-1] + else: + data_extension = field_name.split(".")[-1] + if data_extension in cls.DECODERS: + current_example[field_name] = cls.DECODERS[data_extension](current_example[field_name]) + if current_example: + yield current_example + + def _info(self) -> datasets.DatasetInfo: + return datasets.DatasetInfo() + + def _split_generators(self, dl_manager): + """We handle string, list and dicts in datafiles""" + # Download the data files + if not self.config.data_files: + raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}") + data_files = dl_manager.download(self.config.data_files) + splits = [] + for split_name, tar_paths in data_files.items(): + if isinstance(tar_paths, str): + tar_paths = [tar_paths] + tar_iterators = [dl_manager.iter_archive(tar_path) for tar_path in tar_paths] + splits.append( + datasets.SplitGenerator( + name=split_name, gen_kwargs={"tar_paths": tar_paths, "tar_iterators": tar_iterators} + ) + ) + if not self.info.features: + # Get one example to get the feature types + pipeline = self._get_pipeline_from_tar(tar_paths[0], tar_iterators[0]) + first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE)) + if any(example.keys() != first_examples[0].keys() for example in first_examples): + raise ValueError( + "The TAR archives of the dataset should be in WebDataset format, " + "but the files in the archive don't share the same prefix or the same types." + ) + pa_tables = [ + pa.Table.from_pylist(cast_to_python_objects([example], only_1d_for_numpy=True)) + for example in first_examples + ] + inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema + features = datasets.Features.from_arrow_schema(inferred_arrow_schema) + + # Set Image types + for field_name in first_examples[0]: + extension = field_name.rsplit(".", 1)[-1] + if extension in self.IMAGE_EXTENSIONS: + features[field_name] = datasets.Image() + # Set Audio types + for field_name in first_examples[0]: + extension = field_name.rsplit(".", 1)[-1] + if extension in self.AUDIO_EXTENSIONS: + features[field_name] = datasets.Audio() + # Set Video types + for field_name in first_examples[0]: + extension = field_name.rsplit(".", 1)[-1] + if extension in self.VIDEO_EXTENSIONS: + features[field_name] = datasets.Video() + self.info.features = features + + return splits + + def _generate_examples(self, tar_paths, tar_iterators): + image_field_names = [ + field_name for field_name, feature in self.info.features.items() if isinstance(feature, datasets.Image) + ] + audio_field_names = [ + field_name for field_name, feature in self.info.features.items() if isinstance(feature, datasets.Audio) + ] + all_field_names = list(self.info.features.keys()) + for tar_idx, (tar_path, tar_iterator) in enumerate(zip(tar_paths, tar_iterators)): + for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)): + for field_name in all_field_names: + if field_name not in example: + example[field_name] = None + for field_name in image_field_names + audio_field_names: + if example[field_name] is not None: + example[field_name] = { + "path": example["__key__"] + "." + field_name, + "bytes": example[field_name], + } + yield f"{tar_idx}_{example_idx}", example + + +# Source: https://github.com/webdataset/webdataset/blob/87bd5aa41602d57f070f65a670893ee625702f2f/webdataset/tariterators.py#L25 +def base_plus_ext(path): + """Split off all file extensions. + + Returns base, allext. + """ + match = re.match(r"^((?:.*/|)[^.]+)[.]([^/]*)$", path) + if not match: + return None, None + return match.group(1), match.group(2) + + +# Obtained with: +# ``` +# import PIL.Image +# IMAGE_EXTENSIONS = [] +# PIL.Image.init() +# for ext, format in PIL.Image.EXTENSION.items(): +# if format in PIL.Image.OPEN: +# IMAGE_EXTENSIONS.append(ext[1:]) +# ``` +# We intentionally do not run this code on launch because: +# (1) Pillow is an optional dependency, so importing Pillow in global namespace is not allowed +# (2) To ensure the list of supported extensions is deterministic +IMAGE_EXTENSIONS = [ + "blp", + "bmp", + "dib", + "bufr", + "cur", + "pcx", + "dcx", + "dds", + "ps", + "eps", + "fit", + "fits", + "fli", + "flc", + "ftc", + "ftu", + "gbr", + "gif", + "grib", + "h5", + "hdf", + "png", + "apng", + "jp2", + "j2k", + "jpc", + "jpf", + "jpx", + "j2c", + "icns", + "ico", + "im", + "iim", + "tif", + "tiff", + "jfif", + "jpe", + "jpg", + "jpeg", + "mpg", + "mpeg", + "msp", + "pcd", + "pxr", + "pbm", + "pgm", + "ppm", + "pnm", + "psd", + "bw", + "rgb", + "rgba", + "sgi", + "ras", + "tga", + "icb", + "vda", + "vst", + "webp", + "wmf", + "emf", + "xbm", + "xpm", +] +WebDataset.IMAGE_EXTENSIONS = IMAGE_EXTENSIONS + + +# Obtained with: +# ``` +# import soundfile as sf +# +# AUDIO_EXTENSIONS = [f".{format.lower()}" for format in sf.available_formats().keys()] +# +# # .opus decoding is supported if libsndfile >= 1.0.31: +# AUDIO_EXTENSIONS.extend([".mp3", ".opus"]) +# ``` +# We intentionally do not run this code on launch because: +# (1) Soundfile is an optional dependency, so importing it in global namespace is not allowed +# (2) To ensure the list of supported extensions is deterministic +AUDIO_EXTENSIONS = [ + "aiff", + "au", + "avr", + "caf", + "flac", + "htk", + "svx", + "mat4", + "mat5", + "mpc2k", + "ogg", + "paf", + "pvf", + "raw", + "rf64", + "sd2", + "sds", + "ircam", + "voc", + "w64", + "wav", + "nist", + "wavex", + "wve", + "xi", + "mp3", + "opus", +] +WebDataset.AUDIO_EXTENSIONS = AUDIO_EXTENSIONS + + +# TODO: initial list, we should check the compatibility of other formats +VIDEO_EXTENSIONS = [ + ".mkv", + ".mp4", + ".avi", + ".mpeg", + ".mov", +] +WebDataset.VIDEO_EXTENSIONS = VIDEO_EXTENSIONS + + +def text_loads(data: bytes): + return data.decode("utf-8") + + +def tenbin_loads(data: bytes): + from . import _tenbin + + return _tenbin.decode_buffer(data) + + +def msgpack_loads(data: bytes): + import msgpack + + return msgpack.unpackb(data) + + +def npy_loads(data: bytes): + import numpy.lib.format + + stream = io.BytesIO(data) + return numpy.lib.format.read_array(stream, allow_pickle=False) + + +def npz_loads(data: bytes): + return np.load(io.BytesIO(data), allow_pickle=False) + + +def cbor_loads(data: bytes): + import cbor + + return cbor.loads(data) + + +def torch_loads(data: bytes): + import torch + + return torch.load(io.BytesIO(data), weights_only=True) + + +# Obtained by checking `decoders` in `webdataset.autodecode` +# and removing unsafe extension decoders. +# Removed Pickle decoders: +# - "pyd": lambda data: pickle.loads(data) +# - "pickle": lambda data: pickle.loads(data) +# Modified NumPy decoders to fix CVE-2019-6446 (add allow_pickle=False and weights_only=True): +# - "npy": npy_loads, +# - "npz": lambda data: np.load(io.BytesIO(data)), +# - "pth": lambda data: torch_loads(data) +DECODERS = { + "txt": text_loads, + "text": text_loads, + "transcript": text_loads, + "cls": int, + "cls2": int, + "index": int, + "inx": int, + "id": int, + "json": json.loads, + "jsn": json.loads, + "ten": tenbin_loads, + "tb": tenbin_loads, + "mp": msgpack_loads, + "msg": msgpack_loads, + "npy": npy_loads, + "npz": npz_loads, + "cbor": cbor_loads, + "pth": torch_loads, +} +WebDataset.DECODERS = DECODERS diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/xml/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/xml/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/xml/xml.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/xml/xml.py new file mode 100644 index 0000000000000000000000000000000000000000..d5009b4dd6ad3d7936eb7b96c4c0ecaf207e5915 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/packaged_modules/xml/xml.py @@ -0,0 +1,68 @@ +import itertools +from dataclasses import dataclass +from typing import Optional + +import pyarrow as pa + +import datasets +from datasets.features.features import require_storage_cast +from datasets.table import table_cast + + +logger = datasets.utils.logging.get_logger(__name__) + + +@dataclass +class XmlConfig(datasets.BuilderConfig): + """BuilderConfig for xml files.""" + + features: Optional[datasets.Features] = None + encoding: str = "utf-8" + encoding_errors: Optional[str] = None + + +class Xml(datasets.ArrowBasedBuilder): + BUILDER_CONFIG_CLASS = XmlConfig + + def _info(self): + return datasets.DatasetInfo(features=self.config.features) + + def _split_generators(self, dl_manager): + """The `data_files` kwarg in load_dataset() can be a str, List[str], Dict[str,str], or Dict[str,List[str]]. + + If str or List[str], then the dataset returns only the 'train' split. + If dict, then keys should be from the `datasets.Split` enum. + """ + if not self.config.data_files: + raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}") + dl_manager.download_config.extract_on_the_fly = True + data_files = dl_manager.download_and_extract(self.config.data_files) + splits = [] + for split_name, files in data_files.items(): + if isinstance(files, str): + files = [files] + files = [dl_manager.iter_files(file) for file in files] + splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files})) + return splits + + def _cast_table(self, pa_table: pa.Table) -> pa.Table: + if self.config.features is not None: + schema = self.config.features.arrow_schema + if all(not require_storage_cast(feature) for feature in self.config.features.values()): + # cheaper cast + pa_table = pa_table.cast(schema) + else: + # more expensive cast; allows str <-> int/float or str to Audio for example + pa_table = table_cast(pa_table, schema) + return pa_table + else: + return pa_table.cast(pa.schema({"xml": pa.string()})) + + def _generate_tables(self, files): + pa_table_names = list(self.config.features) if self.config.features is not None else ["xml"] + for file_idx, file in enumerate(itertools.chain.from_iterable(files)): + # open in text mode, by default translates universal newlines ("\n", "\r\n" and "\r") into "\n" + with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f: + xml = f.read() + pa_table = pa.Table.from_arrays([pa.array([xml])], names=pa_table_names) + yield file_idx, self._cast_table(pa_table) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/parallel/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/parallel/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..a8d527f4d09946b3b7b7a65ec22afa953ddfd315 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/parallel/__init__.py @@ -0,0 +1 @@ +from .parallel import ParallelBackendConfig, parallel_backend, parallel_map diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/parallel/parallel.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/parallel/parallel.py new file mode 100644 index 0000000000000000000000000000000000000000..5cad2c48ba2b0a6e71c62babd4eb052a3dd1dfd4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/parallel/parallel.py @@ -0,0 +1,120 @@ +import contextlib +from multiprocessing import Pool, RLock + +from tqdm.auto import tqdm + +from ..utils import experimental, logging + + +logger = logging.get_logger(__name__) + + +class ParallelBackendConfig: + backend_name = None + + +@experimental +def parallel_map(function, iterable, num_proc, batched, batch_size, types, disable_tqdm, desc, single_map_nested_func): + """ + **Experimental.** Apply a function to iterable elements in parallel, where the implementation uses either + multiprocessing.Pool or joblib for parallelization. + + Args: + function (`Callable[[Any], Any]`): Function to be applied to `iterable`. + iterable (`list`, `tuple` or `np.ndarray`): Iterable elements to apply function to. + num_proc (`int`): Number of processes (if no backend specified) or jobs (using joblib). + types (`tuple`): Additional types (besides `dict` values) to apply `function` recursively to their elements. + disable_tqdm (`bool`): Whether to disable the tqdm progressbar. + desc (`str`): Prefix for the tqdm progressbar. + single_map_nested_func (`Callable`): Map function that applies `function` to an element from `iterable`. + Takes a tuple of function, data_struct, types, rank, disable_tqdm, desc as input, where data_struct is an + element of `iterable`, and `rank` is used for progress bar. + """ + if ParallelBackendConfig.backend_name is None: + return _map_with_multiprocessing_pool( + function, iterable, num_proc, batched, batch_size, types, disable_tqdm, desc, single_map_nested_func + ) + + return _map_with_joblib( + function, iterable, num_proc, batched, batch_size, types, disable_tqdm, desc, single_map_nested_func + ) + + +def _map_with_multiprocessing_pool( + function, iterable, num_proc, batched, batch_size, types, disable_tqdm, desc, single_map_nested_func +): + num_proc = num_proc if num_proc <= len(iterable) else len(iterable) + split_kwds = [] # We organize the splits ourselve (contiguous splits) + for index in range(num_proc): + div = len(iterable) // num_proc + mod = len(iterable) % num_proc + start = div * index + min(index, mod) + end = start + div + (1 if index < mod else 0) + split_kwds.append((function, iterable[start:end], batched, batch_size, types, index, disable_tqdm, desc)) + + if len(iterable) != sum(len(i[1]) for i in split_kwds): + raise ValueError( + f"Error dividing inputs iterable among processes. " + f"Total number of objects {len(iterable)}, " + f"length: {sum(len(i[1]) for i in split_kwds)}" + ) + + logger.info( + f"Spawning {num_proc} processes for {len(iterable)} objects in slices of {[len(i[1]) for i in split_kwds]}" + ) + initargs, initializer = None, None + if not disable_tqdm: + initargs, initializer = (RLock(),), tqdm.set_lock + with Pool(num_proc, initargs=initargs, initializer=initializer) as pool: + mapped = pool.map(single_map_nested_func, split_kwds) + logger.info(f"Finished {num_proc} processes") + mapped = [obj for proc_res in mapped for obj in proc_res] + logger.info(f"Unpacked {len(mapped)} objects") + + return mapped + + +def _map_with_joblib( + function, iterable, num_proc, batched, batch_size, types, disable_tqdm, desc, single_map_nested_func +): + # progress bar is not yet supported for _map_with_joblib, because tqdm couldn't accurately be applied to joblib, + # and it requires monkey-patching joblib internal classes which is subject to change + import joblib + + with joblib.parallel_backend(ParallelBackendConfig.backend_name, n_jobs=num_proc): + return joblib.Parallel()( + joblib.delayed(single_map_nested_func)((function, obj, batched, batch_size, types, None, True, None)) + for obj in iterable + ) + + +@experimental +@contextlib.contextmanager +def parallel_backend(backend_name: str): + """ + **Experimental.** Configures the parallel backend for parallelized dataset loading, which uses the parallelization + implemented by joblib. + + Args: + backend_name (str): Name of backend for parallelization implementation, has to be supported by joblib. + + Example usage: + ```py + with parallel_backend('spark'): + dataset = load_dataset(..., num_proc=2) + ``` + """ + ParallelBackendConfig.backend_name = backend_name + + if backend_name == "spark": + from joblibspark import register_spark + + register_spark() + + # TODO: call create_cache_and_write_probe if "download" in steps + # TODO: raise NotImplementedError when Dataset.map etc is called + + try: + yield + finally: + ParallelBackendConfig.backend_name = None diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/search.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/search.py new file mode 100644 index 0000000000000000000000000000000000000000..07ec6c93bc13329616ed0600e497215dc9c3b0ef --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/search.py @@ -0,0 +1,785 @@ +import importlib.util +import os +import tempfile +from pathlib import PurePath +from typing import TYPE_CHECKING, NamedTuple, Optional, Union + +import fsspec +import numpy as np + +from .features import Sequence +from .utils import logging +from .utils import tqdm as hf_tqdm + + +if TYPE_CHECKING: + from .arrow_dataset import Dataset # noqa: F401 + + try: + from elasticsearch import Elasticsearch # noqa: F401 + + except ImportError: + pass + try: + import faiss # noqa: F401 + + except ImportError: + pass + +_has_elasticsearch = importlib.util.find_spec("elasticsearch") is not None +_has_faiss = importlib.util.find_spec("faiss") is not None + + +logger = logging.get_logger(__name__) + + +class MissingIndex(Exception): + pass + + +class SearchResults(NamedTuple): + scores: list[float] + indices: list[int] + + +class BatchedSearchResults(NamedTuple): + total_scores: list[list[float]] + total_indices: list[list[int]] + + +class NearestExamplesResults(NamedTuple): + scores: list[float] + examples: dict + + +class BatchedNearestExamplesResults(NamedTuple): + total_scores: list[list[float]] + total_examples: list[dict] + + +class BaseIndex: + """Base class for indexing""" + + def search(self, query, k: int = 10, **kwargs) -> SearchResults: + """ + To implement. + This method has to return the scores and the indices of the retrieved examples given a certain query. + """ + raise NotImplementedError + + def search_batch(self, queries, k: int = 10, **kwargs) -> BatchedSearchResults: + """Find the nearest examples indices to the query. + + Args: + queries (`Union[List[str], np.ndarray]`): The queries as a list of strings if `column` is a text index or as a numpy array if `column` is a vector index. + k (`int`): The number of examples to retrieve per query. + + Output: + total_scores (`List[List[float]`): The retrieval scores of the retrieved examples per query. + total_indices (`List[List[int]]`): The indices of the retrieved examples per query. + """ + total_scores, total_indices = [], [] + for query in queries: + scores, indices = self.search(query, k) + total_scores.append(scores) + total_indices.append(indices) + return BatchedSearchResults(total_scores, total_indices) + + def save(self, file: Union[str, PurePath]): + """Serialize the index on disk""" + raise NotImplementedError + + @classmethod + def load(cls, file: Union[str, PurePath]) -> "BaseIndex": + """Deserialize the index from disk""" + raise NotImplementedError + + +class ElasticSearchIndex(BaseIndex): + """ + Sparse index using Elasticsearch. It is used to index text and run queries based on BM25 similarity. + An Elasticsearch server needs to be accessible, and a python client is declared with + ``` + es_client = Elasticsearch([{'host': 'localhost', 'port': '9200'}]) + ``` + for example. + """ + + def __init__( + self, + host: Optional[str] = None, + port: Optional[int] = None, + es_client: Optional["Elasticsearch"] = None, + es_index_name: Optional[str] = None, + es_index_config: Optional[dict] = None, + ): + if not _has_elasticsearch: + raise ImportError( + "You must install ElasticSearch to use ElasticSearchIndex. To do so you can run `pip install elasticsearch==7.7.1 for example`" + ) + if es_client is not None and (host is not None or port is not None): + raise ValueError("Please specify either `es_client` or `(host, port)`, but not both.") + host = host or "localhost" + port = port or 9200 + + import elasticsearch.helpers # noqa: F401 - need this to properly load all the es features + from elasticsearch import Elasticsearch # noqa: F811 + + self.es_client = es_client if es_client is not None else Elasticsearch([{"host": host, "port": str(port)}]) + self.es_index_name = ( + es_index_name + if es_index_name is not None + else "huggingface_datasets_" + os.path.basename(tempfile.NamedTemporaryFile().name) + ) + self.es_index_config = ( + es_index_config + if es_index_config is not None + else { + "settings": { + "number_of_shards": 1, + "analysis": {"analyzer": {"stop_standard": {"type": "standard", " stopwords": "_english_"}}}, + }, + "mappings": {"properties": {"text": {"type": "text", "analyzer": "standard", "similarity": "BM25"}}}, + } + ) + + def add_documents(self, documents: Union[list[str], "Dataset"], column: Optional[str] = None): + """ + Add documents to the index. + If the documents are inside a certain column, you can specify it using the `column` argument. + """ + index_name = self.es_index_name + index_config = self.es_index_config + self.es_client.indices.create(index=index_name, body=index_config) + number_of_docs = len(documents) + progress = hf_tqdm(unit="docs", total=number_of_docs) + successes = 0 + + def passage_generator(): + if column is not None: + for i, example in enumerate(documents): + yield {"text": example[column], "_id": i} + else: + for i, example in enumerate(documents): + yield {"text": example, "_id": i} + + # create the ES index + import elasticsearch as es + + for ok, action in es.helpers.streaming_bulk( + client=self.es_client, + index=index_name, + actions=passage_generator(), + ): + progress.update(1) + successes += ok + if successes != len(documents): + logger.warning( + f"Some documents failed to be added to ElasticSearch. Failures: {len(documents) - successes}/{len(documents)}" + ) + logger.info(f"Indexed {successes:d} documents") + + def search(self, query: str, k=10, **kwargs) -> SearchResults: + """Find the nearest examples indices to the query. + + Args: + query (`str`): The query as a string. + k (`int`): The number of examples to retrieve. + + Output: + scores (`List[List[float]`): The retrieval scores of the retrieved examples. + indices (`List[List[int]]`): The indices of the retrieved examples. + """ + response = self.es_client.search( + index=self.es_index_name, + body={"query": {"multi_match": {"query": query, "fields": ["text"], "type": "cross_fields"}}, "size": k}, + **kwargs, + ) + hits = response["hits"]["hits"] + return SearchResults([hit["_score"] for hit in hits], [int(hit["_id"]) for hit in hits]) + + def search_batch(self, queries, k: int = 10, max_workers=10, **kwargs) -> BatchedSearchResults: + import concurrent.futures + + total_scores, total_indices = [None] * len(queries), [None] * len(queries) + with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor: + future_to_index = {executor.submit(self.search, query, k, **kwargs): i for i, query in enumerate(queries)} + for future in concurrent.futures.as_completed(future_to_index): + index = future_to_index[future] + results: SearchResults = future.result() + total_scores[index] = results.scores + total_indices[index] = results.indices + return BatchedSearchResults(total_indices=total_indices, total_scores=total_scores) + + +class FaissIndex(BaseIndex): + """ + Dense index using Faiss. It is used to index vectors. + Faiss is a library for efficient similarity search and clustering of dense vectors. + It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. + You can find more information about Faiss here: + - For index types and the string factory: https://github.com/facebookresearch/faiss/wiki/The-index-factory + - For GPU settings: https://github.com/facebookresearch/faiss/wiki/Faiss-on-the-GPU + """ + + def __init__( + self, + device: Optional[Union[int, list[int]]] = None, + string_factory: Optional[str] = None, + metric_type: Optional[int] = None, + custom_index: Optional["faiss.Index"] = None, + ): + """ + Create a Dense index using Faiss. You can specify `device` if you want to run it on GPU (`device` must be the GPU index). + You can find more information about Faiss here: + - For `string factory`: https://github.com/facebookresearch/faiss/wiki/The-index-factory + """ + if string_factory is not None and custom_index is not None: + raise ValueError("Please specify either `string_factory` or `custom_index` but not both.") + if device is not None and custom_index is not None: + raise ValueError( + "Cannot pass both 'custom_index' and 'device'. " + "Pass 'custom_index' already transferred to the target device instead." + ) + self.device = device + self.string_factory = string_factory + self.metric_type = metric_type + self.faiss_index = custom_index + if not _has_faiss: + raise ImportError( + "You must install Faiss to use FaissIndex. To do so you can run `conda install -c pytorch faiss-cpu` or `conda install -c pytorch faiss-gpu`. " + "A community supported package is also available on pypi: `pip install faiss-cpu` or `pip install faiss-gpu`. " + "Note that pip may not have the latest version of FAISS, and thus, some of the latest features and bug fixes may not be available." + ) + + def add_vectors( + self, + vectors: Union[np.array, "Dataset"], + column: Optional[str] = None, + batch_size: int = 1000, + train_size: Optional[int] = None, + faiss_verbose: Optional[bool] = None, + ): + """ + Add vectors to the index. + If the arrays are inside a certain column, you can specify it using the `column` argument. + """ + import faiss # noqa: F811 + + if column and not isinstance(vectors.features[column], Sequence): + raise ValueError( + f"Wrong feature type for column '{column}'. Expected 1d array, got {vectors.features[column]}" + ) + + # Create index + if self.faiss_index is None: + size = len(vectors[0]) if column is None else len(vectors[0][column]) + if self.string_factory is not None: + if self.metric_type is None: + index = faiss.index_factory(size, self.string_factory) + else: + index = faiss.index_factory(size, self.string_factory, self.metric_type) + else: + if self.metric_type is None: + index = faiss.IndexFlat(size) + else: + index = faiss.IndexFlat(size, self.metric_type) + + self.faiss_index = self._faiss_index_to_device(index, self.device) + logger.info(f"Created faiss index of type {type(self.faiss_index)}") + + # Set verbosity level + if faiss_verbose is not None: + self.faiss_index.verbose = faiss_verbose + if hasattr(self.faiss_index, "index") and self.faiss_index.index is not None: + self.faiss_index.index.verbose = faiss_verbose + if hasattr(self.faiss_index, "quantizer") and self.faiss_index.quantizer is not None: + self.faiss_index.quantizer.verbose = faiss_verbose + if hasattr(self.faiss_index, "clustering_index") and self.faiss_index.clustering_index is not None: + self.faiss_index.clustering_index.verbose = faiss_verbose + + # Train + if train_size is not None: + train_vecs = vectors[:train_size] if column is None else vectors[:train_size][column] + logger.info(f"Training the index with the first {len(train_vecs)} vectors") + self.faiss_index.train(train_vecs) + else: + logger.info("Ignored the training step of the faiss index as `train_size` is None.") + + # Add vectors + logger.info(f"Adding {len(vectors)} vectors to the faiss index") + for i in hf_tqdm(range(0, len(vectors), batch_size)): + vecs = vectors[i : i + batch_size] if column is None else vectors[i : i + batch_size][column] + self.faiss_index.add(vecs) + + @staticmethod + def _faiss_index_to_device(index: "faiss.Index", device: Optional[Union[int, list[int]]] = None) -> "faiss.Index": + """ + Sends a faiss index to a device. + A device can either be a positive integer (GPU id), a negative integer (all GPUs), + or a list of positive integers (select GPUs to use), or `None` for CPU. + """ + + # If device is not specified, then it runs on CPU. + if device is None: + return index + + import faiss # noqa: F811 + + # If the device id is given as an integer + if isinstance(device, int): + # Positive integers are directly mapped to GPU ids + if device > -1: + faiss_res = faiss.StandardGpuResources() + index = faiss.index_cpu_to_gpu(faiss_res, device, index) + # And negative integers mean using all GPUs + else: + index = faiss.index_cpu_to_all_gpus(index) + # Device ids given as a list mean mapping to those devices specified. + elif isinstance(device, (list, tuple)): + index = faiss.index_cpu_to_gpus_list(index, gpus=list(device)) + else: + raise TypeError( + f"The argument type: {type(device)} is not expected. " + + "Please pass in either nothing, a positive int, a negative int, or a list of positive ints." + ) + + return index + + def search(self, query: np.array, k=10, **kwargs) -> SearchResults: + """Find the nearest examples indices to the query. + + Args: + query (`np.array`): The query as a numpy array. + k (`int`): The number of examples to retrieve. + + Output: + scores (`List[List[float]`): The retrieval scores of the retrieved examples. + indices (`List[List[int]]`): The indices of the retrieved examples. + """ + if len(query.shape) != 1 and (len(query.shape) != 2 or query.shape[0] != 1): + raise ValueError("Shape of query is incorrect, it has to be either a 1D array or 2D (1, N)") + + queries = query.reshape(1, -1) + if not queries.flags.c_contiguous: + queries = np.asarray(queries, order="C") + scores, indices = self.faiss_index.search(queries, k, **kwargs) + return SearchResults(scores[0], indices[0].astype(int)) + + def search_batch(self, queries: np.array, k=10, **kwargs) -> BatchedSearchResults: + """Find the nearest examples indices to the queries. + + Args: + queries (`np.array`): The queries as a numpy array. + k (`int`): The number of examples to retrieve. + + Output: + total_scores (`List[List[float]`): The retrieval scores of the retrieved examples per query. + total_indices (`List[List[int]]`): The indices of the retrieved examples per query. + """ + if len(queries.shape) != 2: + raise ValueError("Shape of query must be 2D") + if not queries.flags.c_contiguous: + queries = np.asarray(queries, order="C") + scores, indices = self.faiss_index.search(queries, k, **kwargs) + return BatchedSearchResults(scores, indices.astype(int)) + + def save(self, file: Union[str, PurePath], storage_options: Optional[dict] = None): + """Serialize the FaissIndex on disk""" + import faiss # noqa: F811 + + if self.device is not None and isinstance(self.device, (int, list, tuple)): + index = faiss.index_gpu_to_cpu(self.faiss_index) + else: + index = self.faiss_index + + with fsspec.open(str(file), "wb", **(storage_options or {})) as f: + faiss.write_index(index, faiss.BufferedIOWriter(faiss.PyCallbackIOWriter(f.write))) + + @classmethod + def load( + cls, + file: Union[str, PurePath], + device: Optional[Union[int, list[int]]] = None, + storage_options: Optional[dict] = None, + ) -> "FaissIndex": + """Deserialize the FaissIndex from disk""" + import faiss # noqa: F811 + + # Instances of FaissIndex is essentially just a wrapper for faiss indices. + faiss_index = cls(device=device) + with fsspec.open(str(file), "rb", **(storage_options or {})) as f: + index = faiss.read_index(faiss.BufferedIOReader(faiss.PyCallbackIOReader(f.read))) + faiss_index.faiss_index = faiss_index._faiss_index_to_device(index, faiss_index.device) + return faiss_index + + +class IndexableMixin: + """Add indexing features to `datasets.Dataset`""" + + def __init__(self): + self._indexes: dict[str, BaseIndex] = {} + + def __len__(self): + raise NotImplementedError + + def __getitem__(self, key): + raise NotImplementedError + + def is_index_initialized(self, index_name: str) -> bool: + return index_name in self._indexes + + def _check_index_is_initialized(self, index_name: str): + if not self.is_index_initialized(index_name): + raise MissingIndex( + f"Index with index_name '{index_name}' not initialized yet. Please make sure that you call `add_faiss_index` or `add_elasticsearch_index` first." + ) + + def list_indexes(self) -> list[str]: + """List the `colindex_nameumns`/identifiers of all the attached indexes.""" + return list(self._indexes) + + def get_index(self, index_name: str) -> BaseIndex: + """List the `index_name`/identifiers of all the attached indexes. + + Args: + index_name (`str`): Index name. + + Returns: + [`BaseIndex`] + """ + self._check_index_is_initialized(index_name) + return self._indexes[index_name] + + def add_faiss_index( + self, + column: str, + index_name: Optional[str] = None, + device: Optional[Union[int, list[int]]] = None, + string_factory: Optional[str] = None, + metric_type: Optional[int] = None, + custom_index: Optional["faiss.Index"] = None, + batch_size: int = 1000, + train_size: Optional[int] = None, + faiss_verbose: bool = False, + ): + """Add a dense index using Faiss for fast retrieval. + The index is created using the vectors of the specified column. + You can specify `device` if you want to run it on GPU (`device` must be the GPU index, see more below). + You can find more information about Faiss here: + - For `string factory`: https://github.com/facebookresearch/faiss/wiki/The-index-factory + + Args: + column (`str`): The column of the vectors to add to the index. + index_name (Optional `str`): The index_name/identifier of the index. This is the index_name that is used to call `.get_nearest` or `.search`. + By default it corresponds to `column`. + device (Optional `Union[int, List[int]]`): If positive integer, this is the index of the GPU to use. If negative integer, use all GPUs. + If a list of positive integers is passed in, run only on those GPUs. By default it uses the CPU. + string_factory (Optional `str`): This is passed to the index factory of Faiss to create the index. Default index class is IndexFlatIP. + metric_type (Optional `int`): Type of metric. Ex: `faiss.METRIC_INNER_PRODUCT` or `faiss.METRIC_L2`. + custom_index (Optional `faiss.Index`): Custom Faiss index that you already have instantiated and configured for your needs. + batch_size (Optional `int`): Size of the batch to use while adding vectors to the FaissIndex. Default value is 1000. + + train_size (Optional `int`): If the index needs a training step, specifies how many vectors will be used to train the index. + faiss_verbose (`bool`, defaults to False): Enable the verbosity of the Faiss index. + """ + index_name = index_name if index_name is not None else column + faiss_index = FaissIndex( + device=device, string_factory=string_factory, metric_type=metric_type, custom_index=custom_index + ) + faiss_index.add_vectors( + self, column=column, batch_size=batch_size, train_size=train_size, faiss_verbose=faiss_verbose + ) + self._indexes[index_name] = faiss_index + + def add_faiss_index_from_external_arrays( + self, + external_arrays: np.array, + index_name: str, + device: Optional[Union[int, list[int]]] = None, + string_factory: Optional[str] = None, + metric_type: Optional[int] = None, + custom_index: Optional["faiss.Index"] = None, + batch_size: int = 1000, + train_size: Optional[int] = None, + faiss_verbose: bool = False, + ): + """Add a dense index using Faiss for fast retrieval. + The index is created using the vectors of `external_arrays`. + You can specify `device` if you want to run it on GPU (`device` must be the GPU index). + You can find more information about Faiss here: + - For `string factory`: https://github.com/facebookresearch/faiss/wiki/The-index-factory + + Args: + external_arrays (`np.array`): If you want to use arrays from outside the lib for the index, you can set `external_arrays`. + It will use `external_arrays` to create the Faiss index instead of the arrays in the given `column`. + index_name (`str`): The index_name/identifier of the index. This is the index_name that is used to call `.get_nearest` or `.search`. + device (Optional `Union[int, List[int]]`): If positive integer, this is the index of the GPU to use. If negative integer, use all GPUs. + If a list of positive integers is passed in, run only on those GPUs. By default it uses the CPU. + string_factory (Optional `str`): This is passed to the index factory of Faiss to create the index. Default index class is IndexFlatIP. + metric_type (Optional `int`): Type of metric. Ex: `faiss.METRIC_INNER_PRODUCT` or `faiss.METRIC_L2`. + custom_index (Optional `faiss.Index`): Custom Faiss index that you already have instantiated and configured for your needs. + batch_size (Optional `int`): Size of the batch to use while adding vectors to the FaissIndex. Default value is 1000. + + train_size (Optional `int`): If the index needs a training step, specifies how many vectors will be used to train the index. + faiss_verbose (`bool`, defaults to False): Enable the verbosity of the Faiss index. + """ + faiss_index = FaissIndex( + device=device, string_factory=string_factory, metric_type=metric_type, custom_index=custom_index + ) + faiss_index.add_vectors( + external_arrays, column=None, batch_size=batch_size, train_size=train_size, faiss_verbose=faiss_verbose + ) + self._indexes[index_name] = faiss_index + + def save_faiss_index(self, index_name: str, file: Union[str, PurePath], storage_options: Optional[dict] = None): + """Save a FaissIndex on disk. + + Args: + index_name (`str`): The index_name/identifier of the index. This is the index_name that is used to call `.get_nearest` or `.search`. + file (`str`): The path to the serialized faiss index on disk or remote URI (e.g. `"s3://my-bucket/index.faiss"`). + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + + """ + index = self.get_index(index_name) + if not isinstance(index, FaissIndex): + raise ValueError(f"Index '{index_name}' is not a FaissIndex but a '{type(index)}'") + index.save(file, storage_options=storage_options) + logger.info(f"Saved FaissIndex {index_name} at {file}") + + def load_faiss_index( + self, + index_name: str, + file: Union[str, PurePath], + device: Optional[Union[int, list[int]]] = None, + storage_options: Optional[dict] = None, + ): + """Load a FaissIndex from disk. + + If you want to do additional configurations, you can have access to the faiss index object by doing + `.get_index(index_name).faiss_index` to make it fit your needs. + + Args: + index_name (`str`): The index_name/identifier of the index. This is the index_name that is used to + call `.get_nearest` or `.search`. + file (`str`): The path to the serialized faiss index on disk or remote URI (e.g. `"s3://my-bucket/index.faiss"`). + device (Optional `Union[int, List[int]]`): If positive integer, this is the index of the GPU to use. If negative integer, use all GPUs. + If a list of positive integers is passed in, run only on those GPUs. By default it uses the CPU. + storage_options (`dict`, *optional*): + Key/value pairs to be passed on to the file-system backend, if any. + + + + """ + index = FaissIndex.load(file, device=device, storage_options=storage_options) + if index.faiss_index.ntotal != len(self): + raise ValueError( + f"Index size should match Dataset size, but Index '{index_name}' at {file} has {index.faiss_index.ntotal} elements while the dataset has {len(self)} examples." + ) + self._indexes[index_name] = index + logger.info(f"Loaded FaissIndex {index_name} from {file}") + + def add_elasticsearch_index( + self, + column: str, + index_name: Optional[str] = None, + host: Optional[str] = None, + port: Optional[int] = None, + es_client: Optional["Elasticsearch"] = None, + es_index_name: Optional[str] = None, + es_index_config: Optional[dict] = None, + ): + """Add a text index using ElasticSearch for fast retrieval. + + Args: + column (`str`): The column of the documents to add to the index. + index_name (Optional `str`): The index_name/identifier of the index. This is the index name that is used to call `.get_nearest` or `.search`. + By default it corresponds to `column`. + host (Optional `str`, defaults to localhost): + host of where ElasticSearch is running + port (Optional `str`, defaults to 9200): + port of where ElasticSearch is running + es_client (Optional `elasticsearch.Elasticsearch`): + The elasticsearch client used to create the index if host and port are None. + es_index_name (Optional `str`): The elasticsearch index name used to create the index. + es_index_config (Optional `dict`): + The configuration of the elasticsearch index. + Default config is: + + Config:: + + { + "settings": { + "number_of_shards": 1, + "analysis": {"analyzer": {"stop_standard": {"type": "standard", " stopwords": "_english_"}}}, + }, + "mappings": { + "properties": { + "text": { + "type": "text", + "analyzer": "standard", + "similarity": "BM25" + }, + } + }, + } + """ + index_name = index_name if index_name is not None else column + es_index = ElasticSearchIndex( + host=host, port=port, es_client=es_client, es_index_name=es_index_name, es_index_config=es_index_config + ) + es_index.add_documents(self, column=column) + self._indexes[index_name] = es_index + + def load_elasticsearch_index( + self, + index_name: str, + es_index_name: str, + host: Optional[str] = None, + port: Optional[int] = None, + es_client: Optional["Elasticsearch"] = None, + es_index_config: Optional[dict] = None, + ): + """Load an existing text index using ElasticSearch for fast retrieval. + + Args: + index_name (`str`): + The `index_name`/identifier of the index. This is the index name that is used to call `get_nearest` or `search`. + es_index_name (`str`): + The name of elasticsearch index to load. + host (`str`, *optional*, defaults to `localhost`): + Host of where ElasticSearch is running. + port (`str`, *optional*, defaults to `9200`): + Port of where ElasticSearch is running. + es_client (`elasticsearch.Elasticsearch`, *optional*): + The elasticsearch client used to create the index if host and port are `None`. + es_index_config (`dict`, *optional*): + The configuration of the elasticsearch index. + Default config is: + ``` + { + "settings": { + "number_of_shards": 1, + "analysis": {"analyzer": {"stop_standard": {"type": "standard", " stopwords": "_english_"}}}, + }, + "mappings": { + "properties": { + "text": { + "type": "text", + "analyzer": "standard", + "similarity": "BM25" + }, + } + }, + } + ``` + """ + self._indexes[index_name] = ElasticSearchIndex( + host=host, port=port, es_client=es_client, es_index_name=es_index_name, es_index_config=es_index_config + ) + + def drop_index(self, index_name: str): + """Drop the index with the specified column. + + Args: + index_name (`str`): + The `index_name`/identifier of the index. + """ + del self._indexes[index_name] + + def search(self, index_name: str, query: Union[str, np.array], k: int = 10, **kwargs) -> SearchResults: + """Find the nearest examples indices in the dataset to the query. + + Args: + index_name (`str`): + The name/identifier of the index. + query (`Union[str, np.ndarray]`): + The query as a string if `index_name` is a text index or as a numpy array if `index_name` is a vector index. + k (`int`): + The number of examples to retrieve. + + Returns: + `(scores, indices)`: + A tuple of `(scores, indices)` where: + - **scores** (`List[List[float]`): the retrieval scores from either FAISS (`IndexFlatL2` by default) or ElasticSearch of the retrieved examples + - **indices** (`List[List[int]]`): the indices of the retrieved examples + """ + self._check_index_is_initialized(index_name) + return self._indexes[index_name].search(query, k, **kwargs) + + def search_batch( + self, index_name: str, queries: Union[list[str], np.array], k: int = 10, **kwargs + ) -> BatchedSearchResults: + """Find the nearest examples indices in the dataset to the query. + + Args: + index_name (`str`): + The `index_name`/identifier of the index. + queries (`Union[List[str], np.ndarray]`): + The queries as a list of strings if `index_name` is a text index or as a numpy array if `index_name` is a vector index. + k (`int`): + The number of examples to retrieve per query. + + Returns: + `(total_scores, total_indices)`: + A tuple of `(total_scores, total_indices)` where: + - **total_scores** (`List[List[float]`): the retrieval scores from either FAISS (`IndexFlatL2` by default) or ElasticSearch of the retrieved examples per query + - **total_indices** (`List[List[int]]`): the indices of the retrieved examples per query + """ + self._check_index_is_initialized(index_name) + return self._indexes[index_name].search_batch(queries, k, **kwargs) + + def get_nearest_examples( + self, index_name: str, query: Union[str, np.array], k: int = 10, **kwargs + ) -> NearestExamplesResults: + """Find the nearest examples in the dataset to the query. + + Args: + index_name (`str`): + The index_name/identifier of the index. + query (`Union[str, np.ndarray]`): + The query as a string if `index_name` is a text index or as a numpy array if `index_name` is a vector index. + k (`int`): + The number of examples to retrieve. + + Returns: + `(scores, examples)`: + A tuple of `(scores, examples)` where: + - **scores** (`List[float]`): the retrieval scores from either FAISS (`IndexFlatL2` by default) or ElasticSearch of the retrieved examples + - **examples** (`dict`): the retrieved examples + """ + self._check_index_is_initialized(index_name) + scores, indices = self.search(index_name, query, k, **kwargs) + top_indices = [i for i in indices if i >= 0] + return NearestExamplesResults(scores[: len(top_indices)], self[top_indices]) + + def get_nearest_examples_batch( + self, index_name: str, queries: Union[list[str], np.array], k: int = 10, **kwargs + ) -> BatchedNearestExamplesResults: + """Find the nearest examples in the dataset to the query. + + Args: + index_name (`str`): + The `index_name`/identifier of the index. + queries (`Union[List[str], np.ndarray]`): + The queries as a list of strings if `index_name` is a text index or as a numpy array if `index_name` is a vector index. + k (`int`): + The number of examples to retrieve per query. + + Returns: + `(total_scores, total_examples)`: + A tuple of `(total_scores, total_examples)` where: + - **total_scores** (`List[List[float]`): the retrieval scores from either FAISS (`IndexFlatL2` by default) or ElasticSearch of the retrieved examples per query + - **total_examples** (`List[dict]`): the retrieved examples per query + """ + self._check_index_is_initialized(index_name) + total_scores, total_indices = self.search_batch(index_name, queries, k, **kwargs) + total_scores = [ + scores_i[: len([i for i in indices_i if i >= 0])] + for scores_i, indices_i in zip(total_scores, total_indices) + ] + total_samples = [self[[i for i in indices if i >= 0]] for indices in total_indices] + return BatchedNearestExamplesResults(total_scores, total_samples) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/splits.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/splits.py new file mode 100644 index 0000000000000000000000000000000000000000..02c18eef351ec3bd5270d8c6a42ca23710dd5f49 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/splits.py @@ -0,0 +1,635 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""Splits related API.""" + +import abc +import collections +import copy +import dataclasses +import re +from dataclasses import dataclass +from typing import Optional, Union + +from .arrow_reader import FileInstructions, make_file_instructions +from .naming import _split_re +from .utils.py_utils import NonMutableDict, asdict + + +@dataclass +class SplitInfo: + name: str = dataclasses.field(default="", metadata={"include_in_asdict_even_if_is_default": True}) + num_bytes: int = dataclasses.field(default=0, metadata={"include_in_asdict_even_if_is_default": True}) + num_examples: int = dataclasses.field(default=0, metadata={"include_in_asdict_even_if_is_default": True}) + shard_lengths: Optional[list[int]] = None + + # Deprecated + # For backward compatibility, this field needs to always be included in files like + # dataset_infos.json and dataset_info.json files + # To do so, we always include it in the output of datasets.utils.py_utils.asdict(split_info) + dataset_name: Optional[str] = dataclasses.field( + default=None, metadata={"include_in_asdict_even_if_is_default": True} + ) + + @property + def file_instructions(self): + """Returns the list of dict(filename, take, skip).""" + # `self.dataset_name` is assigned in `SplitDict.add()`. + instructions = make_file_instructions( + name=self.dataset_name, + split_infos=[self], + instruction=str(self.name), + ) + return instructions.file_instructions + + +@dataclass +class SubSplitInfo: + """Wrapper around a sub split info. + This class expose info on the subsplit: + ``` + ds, info = datasets.load_dataset(..., split='train[75%:]', with_info=True) + info.splits['train[75%:]'].num_examples + ``` + """ + + instructions: FileInstructions + + @property + def num_examples(self): + """Returns the number of example in the subsplit.""" + return self.instructions.num_examples + + @property + def file_instructions(self): + """Returns the list of dict(filename, take, skip).""" + return self.instructions.file_instructions + + +class SplitBase(metaclass=abc.ABCMeta): + # pylint: disable=line-too-long + """Abstract base class for Split compositionality. + + See the + [guide on splits](../loading#slice-splits) + for more information. + + There are three parts to the composition: + 1) The splits are composed (defined, merged, split,...) together before + calling the `.as_dataset()` function. This is done with the `__add__`, + `__getitem__`, which return a tree of `SplitBase` (whose leaf + are the `NamedSplit` objects) + + ``` + split = datasets.Split.TRAIN + datasets.Split.TEST.subsplit(datasets.percent[:50]) + ``` + + 2) The `SplitBase` is forwarded to the `.as_dataset()` function + to be resolved into actual read instruction. This is done by the + `.get_read_instruction()` method which takes the real dataset splits + (name, number of shards,...) and parse the tree to return a + `SplitReadInstruction()` object + + ``` + read_instruction = split.get_read_instruction(self.info.splits) + ``` + + 3) The `SplitReadInstruction` is then used in the `tf.data.Dataset` pipeline + to define which files to read and how to skip examples within file. + + """ + + # pylint: enable=line-too-long + + @abc.abstractmethod + def get_read_instruction(self, split_dict): + """Parse the descriptor tree and compile all read instructions together. + + Args: + split_dict: `dict`, The `dict[split_name, SplitInfo]` of the dataset + + Returns: + split_read_instruction: `SplitReadInstruction` + """ + raise NotImplementedError("Abstract method") + + def __eq__(self, other): + """Equality: datasets.Split.TRAIN == 'train'.""" + if isinstance(other, (NamedSplit, str)): + return False + raise NotImplementedError("Equality is not implemented between merged/sub splits.") + + def __ne__(self, other): + """InEquality: datasets.Split.TRAIN != 'test'.""" + return not self.__eq__(other) + + def __add__(self, other): + """Merging: datasets.Split.TRAIN + datasets.Split.TEST.""" + return _SplitMerged(self, other) + + def subsplit(self, arg=None, k=None, percent=None, weighted=None): # pylint: disable=redefined-outer-name + """Divides this split into subsplits. + + There are 3 ways to define subsplits, which correspond to the 3 + arguments `k` (get `k` even subsplits), `percent` (get a slice of the + dataset with `datasets.percent`), and `weighted` (get subsplits with proportions + specified by `weighted`). + + Example:: + + ``` + # 50% train, 50% test + train, test = split.subsplit(k=2) + # 50% train, 25% test, 25% validation + train, test, validation = split.subsplit(weighted=[2, 1, 1]) + # Extract last 20% + subsplit = split.subsplit(datasets.percent[-20:]) + ``` + + Warning: k and weighted will be converted into percent which mean that + values below the percent will be rounded up or down. The final split may be + bigger to deal with remainders. For instance: + + ``` + train, test, valid = split.subsplit(k=3) # 33%, 33%, 34% + s1, s2, s3, s4 = split.subsplit(weighted=[2, 2, 1, 1]) # 33%, 33%, 16%, 18% + ``` + + Args: + arg: If no kwargs are given, `arg` will be interpreted as one of + `k`, `percent`, or `weighted` depending on the type. + For example: + ``` + split.subsplit(10) # Equivalent to split.subsplit(k=10) + split.subsplit(datasets.percent[:-20]) # percent=datasets.percent[:-20] + split.subsplit([1, 1, 2]) # weighted=[1, 1, 2] + ``` + k: `int` If set, subdivide the split into `k` equal parts. + percent: `datasets.percent slice`, return a single subsplit corresponding to + a slice of the original split. For example: + `split.subsplit(datasets.percent[-20:]) # Last 20% of the dataset`. + weighted: `list[int]`, return a list of subsplits whose proportions match + the normalized sum of the list. For example: + `split.subsplit(weighted=[1, 1, 2]) # 25%, 25%, 50%`. + + Returns: + A subsplit or list of subsplits extracted from this split object. + """ + # Note that the percent kwargs redefine the outer name datasets.percent. This + # is done for consistency (.subsplit(percent=datasets.percent[:40])) + if sum(bool(x) for x in (arg, k, percent, weighted)) != 1: + raise ValueError("Only one argument of subsplit should be set.") + + # Auto deduce k + if isinstance(arg, int): + k = arg + elif isinstance(arg, slice): + percent = arg + elif isinstance(arg, list): + weighted = arg + + if not (k or percent or weighted): + raise ValueError( + f"Invalid split argument {arg}. Only list, slice and int supported. " + "One of k, weighted or percent should be set to a non empty value." + ) + + def assert_slices_coverage(slices): + # Ensure that the expended slices cover all percents. + assert sum((list(range(*s.indices(100))) for s in slices), []) == list(range(100)) + + if k: + if not 0 < k <= 100: + raise ValueError(f"Subsplit k should be between 0 and 100, got {k}") + shift = 100 // k + slices = [slice(i * shift, (i + 1) * shift) for i in range(k)] + # Round up last element to ensure all elements are taken + slices[-1] = slice(slices[-1].start, 100) + # Internal check to ensure full coverage + assert_slices_coverage(slices) + return tuple(_SubSplit(self, s) for s in slices) + elif percent: + return _SubSplit(self, percent) + elif weighted: + # Normalize the weighted sum + total = sum(weighted) + weighted = [100 * x // total for x in weighted] + # Create the slice for each of the elements + start = 0 + stop = 0 + slices = [] + for v in weighted: + stop += v + slices.append(slice(start, stop)) + start = stop + # Round up last element to ensure all elements are taken + slices[-1] = slice(slices[-1].start, 100) + # Internal check to ensure full coverage + assert_slices_coverage(slices) + return tuple(_SubSplit(self, s) for s in slices) + else: + # Should not be possible + raise ValueError("Could not determine the split") + + +# 2 requirements: +# 1. datasets.percent be sliceable +# 2. datasets.percent be documented +# +# Instances are not documented, so we want datasets.percent to be a class, but to +# have it be sliceable, we need this metaclass. +class PercentSliceMeta(type): + def __getitem__(cls, slice_value): + if not isinstance(slice_value, slice): + raise ValueError(f"datasets.percent should only be called with slice, not {slice_value}") + return slice_value + + +class PercentSlice(metaclass=PercentSliceMeta): + # pylint: disable=line-too-long + """Syntactic sugar for defining slice subsplits: `datasets.percent[75:-5]`. + + See the + [guide on splits](../loading#slice-splits) + for more information. + """ + + # pylint: enable=line-too-long + pass + + +percent = PercentSlice # pylint: disable=invalid-name + + +class _SplitMerged(SplitBase): + """Represent two split descriptors merged together.""" + + def __init__(self, split1, split2): + self._split1 = split1 + self._split2 = split2 + + def get_read_instruction(self, split_dict): + read_instruction1 = self._split1.get_read_instruction(split_dict) + read_instruction2 = self._split2.get_read_instruction(split_dict) + return read_instruction1 + read_instruction2 + + def __repr__(self): + return f"({repr(self._split1)} + {repr(self._split2)})" + + +class _SubSplit(SplitBase): + """Represent a sub split of a split descriptor.""" + + def __init__(self, split, slice_value): + self._split = split + self._slice_value = slice_value + + def get_read_instruction(self, split_dict): + return self._split.get_read_instruction(split_dict)[self._slice_value] + + def __repr__(self): + slice_str = "{start}:{stop}" + if self._slice_value.step is not None: + slice_str += ":{step}" + slice_str = slice_str.format( + start="" if self._slice_value.start is None else self._slice_value.start, + stop="" if self._slice_value.stop is None else self._slice_value.stop, + step=self._slice_value.step, + ) + return f"{repr(self._split)}(datasets.percent[{slice_str}])" + + +class NamedSplit(SplitBase): + """Descriptor corresponding to a named split (train, test, ...). + + Example: + Each descriptor can be composed with other using addition or slice: + + ```py + split = datasets.Split.TRAIN.subsplit(datasets.percent[0:25]) + datasets.Split.TEST + ``` + + The resulting split will correspond to 25% of the train split merged with + 100% of the test split. + + A split cannot be added twice, so the following will fail: + + ```py + split = ( + datasets.Split.TRAIN.subsplit(datasets.percent[:25]) + + datasets.Split.TRAIN.subsplit(datasets.percent[75:]) + ) # Error + split = datasets.Split.TEST + datasets.Split.ALL # Error + ``` + + The slices can be applied only one time. So the following are valid: + + ```py + split = ( + datasets.Split.TRAIN.subsplit(datasets.percent[:25]) + + datasets.Split.TEST.subsplit(datasets.percent[:50]) + ) + split = (datasets.Split.TRAIN + datasets.Split.TEST).subsplit(datasets.percent[:50]) + ``` + + But this is not valid: + + ```py + train = datasets.Split.TRAIN + test = datasets.Split.TEST + split = train.subsplit(datasets.percent[:25]).subsplit(datasets.percent[:25]) + split = (train.subsplit(datasets.percent[:25]) + test).subsplit(datasets.percent[:50]) + ``` + """ + + def __init__(self, name): + self._name = name + split_names_from_instruction = [split_instruction.split("[")[0] for split_instruction in name.split("+")] + for split_name in split_names_from_instruction: + if not re.match(_split_re, split_name): + raise ValueError(f"Split name should match '{_split_re}' but got '{split_name}'.") + + def __str__(self): + return self._name + + def __repr__(self): + return f"NamedSplit({self._name!r})" + + def __eq__(self, other): + """Equality: datasets.Split.TRAIN == 'train'.""" + if isinstance(other, NamedSplit): + return self._name == other._name # pylint: disable=protected-access + elif isinstance(other, SplitBase): + return False + elif isinstance(other, str): # Other should be string + return self._name == other + else: + return False + + def __lt__(self, other): + return self._name < other._name # pylint: disable=protected-access + + def __hash__(self): + return hash(self._name) + + def get_read_instruction(self, split_dict): + return SplitReadInstruction(split_dict[self._name]) + + +class NamedSplitAll(NamedSplit): + """Split corresponding to the union of all defined dataset splits.""" + + def __init__(self): + super().__init__("all") + + def __repr__(self): + return "NamedSplitAll()" + + def get_read_instruction(self, split_dict): + # Merge all dataset split together + read_instructions = [SplitReadInstruction(s) for s in split_dict.values()] + return sum(read_instructions, SplitReadInstruction()) + + +class Split: + # pylint: disable=line-too-long + """`Enum` for dataset splits. + + Datasets are typically split into different subsets to be used at various + stages of training and evaluation. + + - `TRAIN`: the training data. + - `VALIDATION`: the validation data. If present, this is typically used as + evaluation data while iterating on a model (e.g. changing hyperparameters, + model architecture, etc.). + - `TEST`: the testing data. This is the data to report metrics on. Typically + you do not want to use this during model iteration as you may overfit to it. + - `ALL`: the union of all defined dataset splits. + + All splits, including compositions inherit from `datasets.SplitBase`. + + See the [guide](../load_hub#splits) on splits for more information. + + Example: + + ```py + >>> datasets.SplitGenerator( + ... name=datasets.Split.TRAIN, + ... gen_kwargs={"split_key": "train", "files": dl_manager.download_and extract(url)}, + ... ), + ... datasets.SplitGenerator( + ... name=datasets.Split.VALIDATION, + ... gen_kwargs={"split_key": "validation", "files": dl_manager.download_and extract(url)}, + ... ), + ... datasets.SplitGenerator( + ... name=datasets.Split.TEST, + ... gen_kwargs={"split_key": "test", "files": dl_manager.download_and extract(url)}, + ... ) + ``` + """ + + # pylint: enable=line-too-long + TRAIN = NamedSplit("train") + TEST = NamedSplit("test") + VALIDATION = NamedSplit("validation") + ALL = NamedSplitAll() + + def __new__(cls, name): + """Create a custom split with datasets.Split('custom_name').""" + return NamedSplitAll() if name == "all" else NamedSplit(name) + + +# Similar to SplitInfo, but contain an additional slice info +SlicedSplitInfo = collections.namedtuple( + "SlicedSplitInfo", + [ + "split_info", + "slice_value", + ], +) # noqa: E231 + + +class SplitReadInstruction: + """Object containing the reading instruction for the dataset. + + Similarly to `SplitDescriptor` nodes, this object can be composed with itself, + but the resolution happens instantaneously, instead of keeping track of the + tree, such as all instructions are compiled and flattened in a single + SplitReadInstruction object containing the list of files and slice to use. + + Once resolved, the instructions can be accessed with: + + ``` + read_instructions.get_list_sliced_split_info() # List of splits to use + ``` + + """ + + def __init__(self, split_info=None): + self._splits = NonMutableDict(error_msg="Overlap between splits. Split {key} has been added with itself.") + + if split_info: + self.add(SlicedSplitInfo(split_info=split_info, slice_value=None)) + + def add(self, sliced_split): + """Add a SlicedSplitInfo the read instructions.""" + # TODO(epot): Check that the number of examples per shard % 100 == 0 + # Otherwise the slices value may be unbalanced and not exactly reflect the + # requested slice. + self._splits[sliced_split.split_info.name] = sliced_split + + def __add__(self, other): + """Merging split together.""" + # Will raise error if a split has already be added (NonMutableDict) + # TODO(epot): If a split is already added but there is no overlap between + # the slices, should merge the slices (ex: [:10] + [80:]) + split_instruction = SplitReadInstruction() + split_instruction._splits.update(self._splits) # pylint: disable=protected-access + split_instruction._splits.update(other._splits) # pylint: disable=protected-access + return split_instruction + + def __getitem__(self, slice_value): + """Sub-splits.""" + # Will raise an error if a split has already been sliced + split_instruction = SplitReadInstruction() + for v in self._splits.values(): + if v.slice_value is not None: + raise ValueError(f"Trying to slice Split {v.split_info.name} which has already been sliced") + v = v._asdict() + v["slice_value"] = slice_value + split_instruction.add(SlicedSplitInfo(**v)) + return split_instruction + + def get_list_sliced_split_info(self): + return list(self._splits.values()) + + +class SplitDict(dict): + """Split info object.""" + + def __init__(self, *args, dataset_name=None, **kwargs): + super().__init__(*args, **kwargs) + self.dataset_name = dataset_name + + def __getitem__(self, key: Union[SplitBase, str]): + # 1st case: The key exists: `info.splits['train']` + if str(key) in self: + return super().__getitem__(str(key)) + # 2nd case: Uses instructions: `info.splits['train[50%]']` + else: + instructions = make_file_instructions( + name=self.dataset_name, + split_infos=self.values(), + instruction=key, + ) + return SubSplitInfo(instructions) + + def __setitem__(self, key: Union[SplitBase, str], value: SplitInfo): + if key != value.name: + raise ValueError(f"Cannot add elem. (key mismatch: '{key}' != '{value.name}')") + super().__setitem__(key, value) + + def add(self, split_info: SplitInfo): + """Add the split info.""" + if split_info.name in self: + raise ValueError(f"Split {split_info.name} already present") + split_info.dataset_name = self.dataset_name + super().__setitem__(split_info.name, split_info) + + @property + def total_num_examples(self): + """Return the total number of examples.""" + return sum(s.num_examples for s in self.values()) + + @classmethod + def from_split_dict(cls, split_infos: Union[list, dict], dataset_name: Optional[str] = None): + """Returns a new SplitDict initialized from a Dict or List of `split_infos`.""" + if isinstance(split_infos, dict): + split_infos = list(split_infos.values()) + + if dataset_name is None: + dataset_name = split_infos[0].get("dataset_name") if split_infos else None + + split_dict = cls(dataset_name=dataset_name) + + for split_info in split_infos: + if isinstance(split_info, dict): + split_info = SplitInfo(**split_info) + split_dict.add(split_info) + + return split_dict + + def to_split_dict(self): + """Returns a list of SplitInfo protos that we have.""" + out = [] + for split_name, split_info in self.items(): + split_info = copy.deepcopy(split_info) + split_info.name = split_name + out.append(split_info) + return out + + def copy(self): + return SplitDict.from_split_dict(self.to_split_dict(), self.dataset_name) + + def _to_yaml_list(self) -> list: + out = [asdict(s) for s in self.to_split_dict()] + # we don't need the shard lengths in YAML, since it depends on max_shard_size and num_proc + for split_info_dict in out: + split_info_dict.pop("shard_lengths", None) + # we don't need the dataset_name attribute that is deprecated + for split_info_dict in out: + split_info_dict.pop("dataset_name", None) + return out + + @classmethod + def _from_yaml_list(cls, yaml_data: list) -> "SplitDict": + return cls.from_split_dict(yaml_data) + + +@dataclass +class SplitGenerator: + """Defines the split information for the generator. + + This should be used as returned value of + `GeneratorBasedBuilder._split_generators`. + See `GeneratorBasedBuilder._split_generators` for more info and example + of usage. + + Args: + name (`str`): + Name of the `Split` for which the generator will + create the examples. + **gen_kwargs (additional keyword arguments): + Keyword arguments to forward to the `DatasetBuilder._generate_examples` method + of the builder. + + Example: + + ```py + >>> datasets.SplitGenerator( + ... name=datasets.Split.TRAIN, + ... gen_kwargs={"split_key": "train", "files": dl_manager.download_and_extract(url)}, + ... ) + ``` + """ + + name: str + gen_kwargs: dict = dataclasses.field(default_factory=dict) + split_info: SplitInfo = dataclasses.field(init=False) + + def __post_init__(self): + self.name = str(self.name) # Make sure we convert NamedSplits in strings + NamedSplit(self.name) # check that it's a valid split name + self.split_info = SplitInfo(name=self.name) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/streaming.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/streaming.py new file mode 100644 index 0000000000000000000000000000000000000000..81091417af70194d1a329b50a30fd5f9931b0ac9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/streaming.py @@ -0,0 +1,142 @@ +import importlib +import inspect +from functools import wraps +from typing import TYPE_CHECKING, Optional + +from .download.download_config import DownloadConfig +from .utils.file_utils import ( + xbasename, + xdirname, + xet_parse, + xexists, + xgetsize, + xglob, + xgzip_open, + xisdir, + xisfile, + xjoin, + xlistdir, + xnumpy_load, + xopen, + xpandas_read_csv, + xpandas_read_excel, + xPath, + xpyarrow_parquet_read_table, + xrelpath, + xsio_loadmat, + xsplit, + xsplitext, + xwalk, + xxml_dom_minidom_parse, +) +from .utils.logging import get_logger +from .utils.patching import patch_submodule +from .utils.py_utils import get_imports, lock_importable_file + + +logger = get_logger(__name__) + + +if TYPE_CHECKING: + from .builder import DatasetBuilder + + +def extend_module_for_streaming(module_path, download_config: Optional[DownloadConfig] = None): + """Extend the module to support streaming. + + We patch some functions in the module to use `fsspec` to support data streaming: + - We use `fsspec.open` to open and read remote files. We patch the module function: + - `open` + - We use the "::" hop separator to join paths and navigate remote compressed/archive files. We patch the module + functions: + - `os.path.join` + - `pathlib.Path.joinpath` and `pathlib.Path.__truediv__` (called when using the "/" operator) + + The patched functions are replaced with custom functions defined to work with the + :class:`~download.streaming_download_manager.StreamingDownloadManager`. + + Args: + module_path: Path to the module to be extended. + download_config: Mainly use `token` or `storage_options` to support different platforms and auth types. + """ + + module = importlib.import_module(module_path) + + # TODO(QL): always update the module to add subsequent new authentication without removing old ones + if hasattr(module, "_patched_for_streaming") and module._patched_for_streaming: + if isinstance(module._patched_for_streaming, DownloadConfig): + module._patched_for_streaming.token = download_config.token + module._patched_for_streaming.storage_options = download_config.storage_options + return + + def wrap_auth(function): + @wraps(function) + def wrapper(*args, **kwargs): + return function(*args, download_config=download_config, **kwargs) + + wrapper._decorator_name_ = "wrap_auth" + return wrapper + + # open files in a streaming fashion + patch_submodule(module, "open", wrap_auth(xopen)).start() + patch_submodule(module, "os.listdir", wrap_auth(xlistdir)).start() + patch_submodule(module, "os.walk", wrap_auth(xwalk)).start() + patch_submodule(module, "glob.glob", wrap_auth(xglob)).start() + # allow to navigate in remote zip files + patch_submodule(module, "os.path.join", xjoin).start() + patch_submodule(module, "os.path.dirname", xdirname).start() + patch_submodule(module, "os.path.basename", xbasename).start() + patch_submodule(module, "os.path.relpath", xrelpath).start() + patch_submodule(module, "os.path.split", xsplit).start() + patch_submodule(module, "os.path.splitext", xsplitext).start() + # allow checks on paths + patch_submodule(module, "os.path.exists", wrap_auth(xexists)).start() + patch_submodule(module, "os.path.isdir", wrap_auth(xisdir)).start() + patch_submodule(module, "os.path.isfile", wrap_auth(xisfile)).start() + patch_submodule(module, "os.path.getsize", wrap_auth(xgetsize)).start() + patch_submodule(module, "pathlib.Path", xPath).start() + # file readers + patch_submodule(module, "gzip.open", wrap_auth(xgzip_open)).start() + patch_submodule(module, "numpy.load", wrap_auth(xnumpy_load)).start() + patch_submodule(module, "pandas.read_csv", wrap_auth(xpandas_read_csv), attrs=["__version__"]).start() + patch_submodule(module, "pandas.read_excel", wrap_auth(xpandas_read_excel), attrs=["__version__"]).start() + patch_submodule(module, "scipy.io.loadmat", wrap_auth(xsio_loadmat), attrs=["__version__"]).start() + patch_submodule(module, "xml.etree.ElementTree.parse", wrap_auth(xet_parse)).start() + patch_submodule(module, "xml.dom.minidom.parse", wrap_auth(xxml_dom_minidom_parse)).start() + # pyarrow: do not patch pyarrow attribute in packaged modules + if not module.__name__.startswith("datasets.packaged_modules."): + patch_submodule(module, "pyarrow.parquet.read_table", wrap_auth(xpyarrow_parquet_read_table)).start() + module._patched_for_streaming = download_config + + +def extend_dataset_builder_for_streaming(builder: "DatasetBuilder"): + """Extend the dataset builder module and the modules imported by it to support streaming. + + Args: + builder (:class:`DatasetBuilder`): Dataset builder instance. + """ + # this extends the open and os.path.join functions for data streaming + download_config = DownloadConfig(storage_options=builder.storage_options, token=builder.token) + extend_module_for_streaming(builder.__module__, download_config=download_config) + # if needed, we also have to extend additional internal imports (like wmt14 -> wmt_utils) + if not builder.__module__.startswith("datasets."): # check that it's not a packaged builder like csv + importable_file = inspect.getfile(builder.__class__) + with lock_importable_file(importable_file): + for imports in get_imports(importable_file): + if imports[0] == "internal": + internal_import_name = imports[1] + internal_module_name = ".".join(builder.__module__.split(".")[:-1] + [internal_import_name]) + extend_module_for_streaming(internal_module_name, download_config=download_config) + + # builders can inherit from other builders that might use streaming functionality + # (for example, ImageFolder and AudioFolder inherit from FolderBuilder which implements examples generation) + # but these parents builders are not patched automatically as they are not instantiated, so we patch them here + from .builder import DatasetBuilder + + parent_builder_modules = [ + cls.__module__ + for cls in type(builder).__mro__[1:] # make sure it's not the same module we've already patched + if issubclass(cls, DatasetBuilder) and cls.__module__ != DatasetBuilder.__module__ + ] # check it's not a standard builder from datasets.builder + for module in parent_builder_modules: + extend_module_for_streaming(module, download_config=download_config) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/table.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/table.py new file mode 100644 index 0000000000000000000000000000000000000000..e57a0c54927ef4e23636fcab67088ad8e2dd7469 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/table.py @@ -0,0 +1,2413 @@ +import copy +import os +from collections.abc import Iterator +from functools import partial +from itertools import groupby +from typing import TYPE_CHECKING, Any, Callable, Optional, TypeVar, Union + +import numpy as np +import pyarrow as pa +import pyarrow.compute as pc +import pyarrow.types + +from .utils.logging import get_logger + + +if TYPE_CHECKING: + from .features.features import Features, FeatureType + + +logger = get_logger(__name__) + + +def inject_arrow_table_documentation(arrow_table_method): + def wrapper(fn): + fn.__doc__ = arrow_table_method.__doc__ + (fn.__doc__ if fn.__doc__ is not None else "") + fn.__doc__ = fn.__doc__.replace("pyarrow.Table", "Table") + if hasattr(arrow_table_method, "__annotations__"): + fn.__annotations__ = arrow_table_method.__annotations__ + return fn + + return wrapper + + +def _in_memory_arrow_table_from_file(filename: str) -> pa.Table: + in_memory_stream = pa.input_stream(filename) + opened_stream = pa.ipc.open_stream(in_memory_stream) + pa_table = opened_stream.read_all() + return pa_table + + +def _in_memory_arrow_table_from_buffer(buffer: pa.Buffer) -> pa.Table: + stream = pa.BufferReader(buffer) + opened_stream = pa.ipc.open_stream(stream) + table = opened_stream.read_all() + return table + + +def _memory_mapped_record_batch_reader_from_file(filename: str) -> pa.RecordBatchStreamReader: + memory_mapped_stream = pa.memory_map(filename) + return pa.ipc.open_stream(memory_mapped_stream) + + +def read_schema_from_file(filename: str) -> pa.Schema: + """ + Infer arrow table schema from file without loading whole file into memory. + Useful especially while having very big files. + """ + with pa.memory_map(filename) as memory_mapped_stream: + schema = pa.ipc.open_stream(memory_mapped_stream).schema + return schema + + +def _memory_mapped_arrow_table_from_file(filename: str) -> pa.Table: + opened_stream = _memory_mapped_record_batch_reader_from_file(filename) + pa_table = opened_stream.read_all() + return pa_table + + +def _deepcopy(x, memo: dict): + """deepcopy a regular class instance""" + cls = x.__class__ + result = cls.__new__(cls) + memo[id(x)] = result + for k, v in x.__dict__.items(): + setattr(result, k, copy.deepcopy(v, memo)) + return result + + +def _interpolation_search(arr: list[int], x: int) -> int: + """ + Return the position i of a sorted array so that arr[i] <= x < arr[i+1] + + Args: + arr (`List[int]`): non-empty sorted list of integers + x (`int`): query + + Returns: + `int`: the position i so that arr[i] <= x < arr[i+1] + + Raises: + `IndexError`: if the array is empty or if the query is outside the array values + """ + i, j = 0, len(arr) - 1 + while i < j and arr[i] <= x < arr[j]: + k = i + ((j - i) * (x - arr[i]) // (arr[j] - arr[i])) + if arr[k] <= x < arr[k + 1]: + return k + elif arr[k] < x: + i, j = k + 1, j + else: + i, j = i, k + raise IndexError(f"Invalid query '{x}' for size {arr[-1] if len(arr) else 'none'}.") + + +class IndexedTableMixin: + def __init__(self, table: pa.Table): + self._schema: pa.Schema = table.schema + self._batches: list[pa.RecordBatch] = [ + recordbatch for recordbatch in table.to_batches() if len(recordbatch) > 0 + ] + self._offsets: np.ndarray = np.cumsum([0] + [len(b) for b in self._batches], dtype=np.int64) + + def fast_gather(self, indices: Union[list[int], np.ndarray]) -> pa.Table: + """ + Create a pa.Table by gathering the records at the records at the specified indices. Should be faster + than pa.concat_tables(table.fast_slice(int(i) % table.num_rows, 1) for i in indices) since NumPy can compute + the binary searches in parallel, highly optimized C + """ + if not len(indices): + raise ValueError("Indices must be non-empty") + batch_indices = np.searchsorted(self._offsets, indices, side="right") - 1 + return pa.Table.from_batches( + [ + self._batches[batch_idx].slice(i - self._offsets[batch_idx], 1) + for batch_idx, i in zip(batch_indices, indices) + ], + schema=self._schema, + ) + + def fast_slice(self, offset=0, length=None) -> pa.Table: + """ + Slice the Table using interpolation search. + The behavior is the same as `pyarrow.Table.slice` but it's significantly faster. + + Interpolation search is used to find the start and end indexes of the batches we want to keep. + The batches to keep are then concatenated to form the sliced Table. + """ + if offset < 0: + raise IndexError("Offset must be non-negative") + elif offset >= self._offsets[-1] or (length is not None and length <= 0): + return pa.Table.from_batches([], schema=self._schema) + i = _interpolation_search(self._offsets, offset) + if length is None or length + offset >= self._offsets[-1]: + batches = self._batches[i:] + batches[0] = batches[0].slice(offset - self._offsets[i]) + else: + j = _interpolation_search(self._offsets, offset + length - 1) + batches = self._batches[i : j + 1] + batches[-1] = batches[-1].slice(0, offset + length - self._offsets[j]) + batches[0] = batches[0].slice(offset - self._offsets[i]) + return pa.Table.from_batches(batches, schema=self._schema) + + +class Table(IndexedTableMixin): + """ + Wraps a pyarrow Table by using composition. + This is the base class for `InMemoryTable`, `MemoryMappedTable` and `ConcatenationTable`. + + It implements all the basic attributes/methods of the pyarrow Table class except + the Table transforms: `slice, filter, flatten, combine_chunks, cast, add_column, + append_column, remove_column, set_column, rename_columns` and `drop`. + + The implementation of these methods differs for the subclasses. + """ + + def __init__(self, table: pa.Table): + super().__init__(table) + self.table = table + + def __deepcopy__(self, memo: dict): + # arrow tables are immutable, so there's no need to copy self.table + # moreover calling deepcopy on a pyarrow table seems to make pa.total_allocated_bytes() decrease for some reason + # by adding it to the memo, self.table won't be copied + memo[id(self.table)] = self.table + # same for the recordbatches used by the index + memo[id(self._batches)] = list(self._batches) + return _deepcopy(self, memo) + + def validate(self, *args, **kwargs): + """ + Perform validation checks. An exception is raised if validation fails. + + By default only cheap validation checks are run. Pass `full=True` + for thorough validation checks (potentially `O(n)`). + + Args: + full (`bool`, defaults to `False`): + If `True`, run expensive checks, otherwise cheap checks only. + + Raises: + `pa.lib.ArrowInvalid`: if validation fails + """ + return self.table.validate(*args, **kwargs) + + def equals(self, *args, **kwargs): + """ + Check if contents of two tables are equal. + + Args: + other ([`~datasets.table.Table`]): + Table to compare against. + check_metadata `bool`, defaults to `False`): + Whether schema metadata equality should be checked as well. + + Returns: + `bool` + """ + args = tuple(arg.table if isinstance(arg, Table) else arg for arg in args) + kwargs = {k: v.table if isinstance(v, Table) else v for k, v in kwargs} + return self.table.equals(*args, **kwargs) + + def to_batches(self, *args, **kwargs): + """ + Convert Table to list of (contiguous) `RecordBatch` objects. + + Args: + max_chunksize (`int`, defaults to `None`): + Maximum size for `RecordBatch` chunks. Individual chunks may be + smaller depending on the chunk layout of individual columns. + + Returns: + `List[pyarrow.RecordBatch]` + """ + return self.table.to_batches(*args, **kwargs) + + def to_pydict(self, *args, **kwargs): + """ + Convert the Table to a `dict` or `OrderedDict`. + + Returns: + `dict` + """ + return self.table.to_pydict(*args, **kwargs) + + def to_pylist(self, *args, **kwargs): + """ + Convert the Table to a list + + Returns: + `list` + """ + return self.table.to_pylist(*args, **kwargs) + + def to_pandas(self, *args, **kwargs): + """ + Convert to a pandas-compatible NumPy array or DataFrame, as appropriate. + + Args: + memory_pool (`MemoryPool`, defaults to `None`): + Arrow MemoryPool to use for allocations. Uses the default memory + pool is not passed. + strings_to_categorical (`bool`, defaults to `False`): + Encode string (UTF8) and binary types to `pandas.Categorical`. + categories (`list`, defaults to `empty`): + List of fields that should be returned as `pandas.Categorical`. Only + applies to table-like data structures. + zero_copy_only (`bool`, defaults to `False`): + Raise an `ArrowException` if this function call would require copying + the underlying data. + integer_object_nulls (`bool`, defaults to `False`): + Cast integers with nulls to objects. + date_as_object (`bool`, defaults to `True`): + Cast dates to objects. If `False`, convert to `datetime64[ns]` dtype. + timestamp_as_object (`bool`, defaults to `False`): + Cast non-nanosecond timestamps (`np.datetime64`) to objects. This is + useful if you have timestamps that don't fit in the normal date + range of nanosecond timestamps (1678 CE-2262 CE). + If `False`, all timestamps are converted to `datetime64[ns]` dtype. + use_threads (`bool`, defaults to `True`): + Whether to parallelize the conversion using multiple threads. + deduplicate_objects (`bool`, defaults to `False`): + Do not create multiple copies Python objects when created, to save + on memory use. Conversion will be slower. + ignore_metadata (`bool`, defaults to `False`): + If `True`, do not use the 'pandas' metadata to reconstruct the + DataFrame index, if present. + safe (`bool`, defaults to `True`): + For certain data types, a cast is needed in order to store the + data in a pandas DataFrame or Series (e.g. timestamps are always + stored as nanoseconds in pandas). This option controls whether it + is a safe cast or not. + split_blocks (`bool`, defaults to `False`): + If `True`, generate one internal "block" for each column when + creating a pandas.DataFrame from a `RecordBatch` or `Table`. While this + can temporarily reduce memory note that various pandas operations + can trigger "consolidation" which may balloon memory use. + self_destruct (`bool`, defaults to `False`): + EXPERIMENTAL: If `True`, attempt to deallocate the originating Arrow + memory while converting the Arrow object to pandas. If you use the + object after calling `to_pandas` with this option it will crash your + program. + types_mapper (`function`, defaults to `None`): + A function mapping a pyarrow DataType to a pandas `ExtensionDtype`. + This can be used to override the default pandas type for conversion + of built-in pyarrow types or in absence of `pandas_metadata` in the + Table schema. The function receives a pyarrow DataType and is + expected to return a pandas `ExtensionDtype` or `None` if the + default conversion should be used for that type. If you have + a dictionary mapping, you can pass `dict.get` as function. + + Returns: + `pandas.Series` or `pandas.DataFrame`: `pandas.Series` or `pandas.DataFrame` depending on type of object + """ + return self.table.to_pandas(*args, **kwargs) + + def to_string(self, *args, **kwargs): + return self.table.to_string(*args, **kwargs) + + def to_reader(self, max_chunksize: Optional[int] = None): + """ + Convert the Table to a RecordBatchReader. + + Note that this method is zero-copy, it merely exposes the same data under a different API. + + Args: + max_chunksize (`int`, defaults to `None`) + Maximum size for RecordBatch chunks. Individual chunks may be smaller depending + on the chunk layout of individual columns. + + Returns: + `pyarrow.RecordBatchReader` + """ + return self.table.to_reader(max_chunksize=max_chunksize) + + def field(self, *args, **kwargs): + """ + Select a schema field by its column name or numeric index. + + Args: + i (`Union[int, str]`): + The index or name of the field to retrieve. + + Returns: + `pyarrow.Field` + """ + return self.table.field(*args, **kwargs) + + def column(self, *args, **kwargs): + """ + Select a column by its column name, or numeric index. + + Args: + i (`Union[int, str]`): + The index or name of the column to retrieve. + + Returns: + `pyarrow.ChunkedArray` + """ + return self.table.column(*args, **kwargs) + + def itercolumns(self, *args, **kwargs): + """ + Iterator over all columns in their numerical order. + + Yields: + `pyarrow.ChunkedArray` + """ + return self.table.itercolumns(*args, **kwargs) + + @property + def schema(self): + """ + Schema of the table and its columns. + + Returns: + `pyarrow.Schema` + """ + return self.table.schema + + @property + def columns(self): + """ + List of all columns in numerical order. + + Returns: + `List[pa.ChunkedArray]` + """ + return self.table.columns + + @property + def num_columns(self): + """ + Number of columns in this table. + + Returns: + int + """ + return self.table.num_columns + + @property + def num_rows(self): + """ + Number of rows in this table. + + Due to the definition of a table, all columns have the same number of + rows. + + Returns: + int + """ + return self.table.num_rows + + @property + def shape(self): + """ + Dimensions of the table: (#rows, #columns). + + Returns: + `(int, int)`: Number of rows and number of columns. + """ + return self.table.shape + + @property + def nbytes(self): + """ + Total number of bytes consumed by the elements of the table. + """ + return self.table.nbytes + + @property + def column_names(self): + """ + Names of the table's columns. + """ + return self.table.column_names + + def __eq__(self, other): + return self.equals(other) + + def __getitem__(self, i): + return self.table[i] + + def __len__(self): + return len(self.table) + + def __repr__(self): + return self.table.__repr__().replace("pyarrow.Table", self.__class__.__name__) + + def __str__(self): + return self.table.__str__().replace("pyarrow.Table", self.__class__.__name__) + + def slice(self, *args, **kwargs): + """ + Compute zero-copy slice of this Table. + + Args: + offset (`int`, defaults to `0`): + Offset from start of table to slice. + length (`int`, defaults to `None`): + Length of slice (default is until end of table starting from + offset). + + Returns: + `datasets.table.Table` + """ + raise NotImplementedError() + + def filter(self, *args, **kwargs): + """ + Select records from a Table. See `pyarrow.compute.filter` for full usage. + """ + raise NotImplementedError() + + def flatten(self, *args, **kwargs): + """ + Flatten this Table. Each column with a struct type is flattened + into one column per struct field. Other columns are left unchanged. + + Args: + memory_pool (`MemoryPool`, defaults to `None`): + For memory allocations, if required, otherwise use default pool. + + Returns: + `datasets.table.Table` + """ + raise NotImplementedError() + + def combine_chunks(self, *args, **kwargs): + """ + Make a new table by combining the chunks this table has. + + All the underlying chunks in the `ChunkedArray` of each column are + concatenated into zero or one chunk. + + Args: + memory_pool (`MemoryPool`, defaults to `None`): + For memory allocations, if required, otherwise use default pool. + + Returns: + `datasets.table.Table` + """ + raise NotImplementedError() + + def cast(self, *args, **kwargs): + """ + Cast table values to another schema. + + Args: + target_schema (`Schema`): + Schema to cast to, the names and order of fields must match. + safe (`bool`, defaults to `True`): + Check for overflows or other unsafe conversions. + + Returns: + `datasets.table.Table` + """ + raise NotImplementedError() + + def replace_schema_metadata(self, *args, **kwargs): + """ + EXPERIMENTAL: Create shallow copy of table by replacing schema + key-value metadata with the indicated new metadata (which may be None, + which deletes any existing metadata + + Args: + metadata (`dict`, defaults to `None`): + + Returns: + `datasets.table.Table`: shallow_copy + """ + raise NotImplementedError() + + def add_column(self, *args, **kwargs): + """ + Add column to Table at position. + + A new table is returned with the column added, the original table + object is left unchanged. + + Args: + i (`int`): + Index to place the column at. + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: New table with the passed column added. + """ + raise NotImplementedError() + + def append_column(self, *args, **kwargs): + """ + Append column at end of columns. + + Args: + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: New table with the passed column added. + """ + raise NotImplementedError() + + def remove_column(self, *args, **kwargs): + """ + Create new Table with the indicated column removed. + + Args: + i (`int`): + Index of column to remove. + + Returns: + `datasets.table.Table`: New table without the column. + """ + raise NotImplementedError() + + def set_column(self, *args, **kwargs): + """ + Replace column in Table at position. + + Args: + i (`int`): + Index to place the column at. + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: New table with the passed column set. + """ + raise NotImplementedError() + + def rename_columns(self, *args, **kwargs): + """ + Create new table with columns renamed to provided names. + """ + raise NotImplementedError() + + def drop(self, *args, **kwargs): + """ + Drop one or more columns and return a new table. + + Args: + columns (`List[str]`): + List of field names referencing existing columns. + + Raises: + `KeyError` : if any of the passed columns name are not existing. + + Returns: + `datasets.table.Table`: New table without the columns. + """ + raise NotImplementedError() + + def select(self, *args, **kwargs): + """ + Select columns of the table. + + Returns a new table with the specified columns, and metadata preserved. + + Args: + columns (:obj:`Union[List[str], List[int]]`): + The column names or integer indices to select. + + Returns: + `datasets.table.Table`: table with only a subset of the columns + """ + raise NotImplementedError() + + +class TableBlock(Table): + """ + `TableBlock` is the allowed class inside a `ConcanetationTable`. + Only `MemoryMappedTable` and `InMemoryTable` are `TableBlock`. + This is because we don't want a `ConcanetationTable` made out of other `ConcanetationTables`. + """ + + pass + + +class InMemoryTable(TableBlock): + """ + The table is said in-memory when it is loaded into the user's RAM. + + Pickling it does copy all the data using memory. + Its implementation is simple and uses the underlying pyarrow Table methods directly. + + This is different from the `MemoryMapped` table, for which pickling doesn't copy all the + data in memory. For a `MemoryMapped`, unpickling instead reloads the table from the disk. + + `InMemoryTable` must be used when data fit in memory, while `MemoryMapped` are reserved for + data bigger than memory or when you want the memory footprint of your application to + stay low. + """ + + @classmethod + def from_file(cls, filename: str): + table = _in_memory_arrow_table_from_file(filename) + return cls(table) + + @classmethod + def from_buffer(cls, buffer: pa.Buffer): + table = _in_memory_arrow_table_from_buffer(buffer) + return cls(table) + + @classmethod + def from_pandas(cls, *args, **kwargs): + """ + Convert pandas.DataFrame to an Arrow Table. + + The column types in the resulting Arrow Table are inferred from the + dtypes of the pandas.Series in the DataFrame. In the case of non-object + Series, the NumPy dtype is translated to its Arrow equivalent. In the + case of `object`, we need to guess the datatype by looking at the + Python objects in this Series. + + Be aware that Series of the `object` dtype don't carry enough + information to always lead to a meaningful Arrow type. In the case that + we cannot infer a type, e.g. because the DataFrame is of length 0 or + the Series only contains `None/nan` objects, the type is set to + null. This behavior can be avoided by constructing an explicit schema + and passing it to this function. + + Args: + df (`pandas.DataFrame`): + schema (`pyarrow.Schema`, *optional*): + The expected schema of the Arrow Table. This can be used to + indicate the type of columns if we cannot infer it automatically. + If passed, the output will have exactly this schema. Columns + specified in the schema that are not found in the DataFrame columns + or its index will raise an error. Additional columns or index + levels in the DataFrame which are not specified in the schema will + be ignored. + preserve_index (`bool`, *optional*): + Whether to store the index as an additional column in the resulting + `Table`. The default of None will store the index as a column, + except for RangeIndex which is stored as metadata only. Use + `preserve_index=True` to force it to be stored as a column. + nthreads (`int`, defaults to `None` (may use up to system CPU count threads)) + If greater than 1, convert columns to Arrow in parallel using + indicated number of threads. + columns (`List[str]`, *optional*): + List of column to be converted. If `None`, use all columns. + safe (`bool`, defaults to `True`): + Check for overflows or other unsafe conversions, + + Returns: + `datasets.table.Table`: + + Examples: + ```python + >>> import pandas as pd + >>> import pyarrow as pa + >>> df = pd.DataFrame({ + ... 'int': [1, 2], + ... 'str': ['a', 'b'] + ... }) + >>> pa.Table.from_pandas(df) + + ``` + """ + return cls(pa.Table.from_pandas(*args, **kwargs)) + + @classmethod + def from_arrays(cls, *args, **kwargs): + """ + Construct a Table from Arrow arrays. + + Args: + arrays (`List[Union[pyarrow.Array, pyarrow.ChunkedArray]]`): + Equal-length arrays that should form the table. + names (`List[str]`, *optional*): + Names for the table columns. If not passed, schema must be passed. + schema (`Schema`, defaults to `None`): + Schema for the created table. If not passed, names must be passed. + metadata (`Union[dict, Mapping]`, defaults to `None`): + Optional metadata for the schema (if inferred). + + Returns: + `datasets.table.Table` + """ + return cls(pa.Table.from_arrays(*args, **kwargs)) + + @classmethod + def from_pydict(cls, *args, **kwargs): + """ + Construct a Table from Arrow arrays or columns. + + Args: + mapping (`Union[dict, Mapping]`): + A mapping of strings to Arrays or Python lists. + schema (`Schema`, defaults to `None`): + If not passed, will be inferred from the Mapping values + metadata (`Union[dict, Mapping]`, defaults to `None`): + Optional metadata for the schema (if inferred). + + Returns: + `datasets.table.Table` + """ + return cls(pa.Table.from_pydict(*args, **kwargs)) + + @classmethod + def from_pylist(cls, mapping, *args, **kwargs): + """ + Construct a Table from list of rows / dictionaries. + + Args: + mapping (`List[dict]`): + A mapping of strings to row values. + schema (`Schema`, defaults to `None`): + If not passed, will be inferred from the Mapping values + metadata (`Union[dict, Mapping]`, defaults to `None`): + Optional metadata for the schema (if inferred). + + Returns: + `datasets.table.Table` + """ + return cls(pa.Table.from_pylist(mapping, *args, **kwargs)) + + @classmethod + def from_batches(cls, *args, **kwargs): + """ + Construct a Table from a sequence or iterator of Arrow `RecordBatches`. + + Args: + batches (`Union[Sequence[pyarrow.RecordBatch], Iterator[pyarrow.RecordBatch]]`): + Sequence of `RecordBatch` to be converted, all schemas must be equal. + schema (`Schema`, defaults to `None`): + If not passed, will be inferred from the first `RecordBatch`. + + Returns: + `datasets.table.Table`: + """ + return cls(pa.Table.from_batches(*args, **kwargs)) + + def slice(self, offset=0, length=None): + """ + Compute zero-copy slice of this Table. + + Args: + offset (`int`, defaults to `0`): + Offset from start of table to slice. + length (`int`, defaults to `None`): + Length of slice (default is until end of table starting from + offset). + + Returns: + `datasets.table.Table` + """ + # Use fast slicing here + return InMemoryTable(self.fast_slice(offset=offset, length=length)) + + def filter(self, *args, **kwargs): + """ + Select records from a Table. See `pyarrow.compute.filter` for full usage. + """ + return InMemoryTable(self.table.filter(*args, **kwargs)) + + def flatten(self, *args, **kwargs): + """ + Flatten this Table. Each column with a struct type is flattened + into one column per struct field. Other columns are left unchanged. + + Args: + memory_pool (`MemoryPool`, defaults to `None`): + For memory allocations, if required, otherwise use default pool. + + Returns: + `datasets.table.Table` + """ + return InMemoryTable(table_flatten(self.table, *args, **kwargs)) + + def combine_chunks(self, *args, **kwargs): + """ + Make a new table by combining the chunks this table has. + + All the underlying chunks in the `ChunkedArray` of each column are + concatenated into zero or one chunk. + + Args: + memory_pool (`MemoryPool`, defaults to `None`): + For memory allocations, if required, otherwise use default pool. + + Returns: + `datasets.table.Table` + """ + return InMemoryTable(self.table.combine_chunks(*args, **kwargs)) + + def cast(self, *args, **kwargs): + """ + Cast table values to another schema. + + Args: + target_schema (`Schema`): + Schema to cast to, the names and order of fields must match. + safe (`bool`, defaults to `True`): + Check for overflows or other unsafe conversions. + + Returns: + `datasets.table.Table` + """ + return InMemoryTable(table_cast(self.table, *args, **kwargs)) + + def replace_schema_metadata(self, *args, **kwargs): + """ + EXPERIMENTAL: Create shallow copy of table by replacing schema + key-value metadata with the indicated new metadata (which may be `None`, + which deletes any existing metadata). + + Args: + metadata (`dict`, defaults to `None`): + + Returns: + `datasets.table.Table`: shallow_copy + """ + return InMemoryTable(self.table.replace_schema_metadata(*args, **kwargs)) + + def add_column(self, *args, **kwargs): + """ + Add column to Table at position. + + A new table is returned with the column added, the original table + object is left unchanged. + + Args: + i (`int`): + Index to place the column at. + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: New table with the passed column added. + """ + return InMemoryTable(self.table.add_column(*args, **kwargs)) + + def append_column(self, *args, **kwargs): + """ + Append column at end of columns. + + Args: + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: + New table with the passed column added. + """ + return InMemoryTable(self.table.append_column(*args, **kwargs)) + + def remove_column(self, *args, **kwargs): + """ + Create new Table with the indicated column removed. + + Args: + i (`int`): + Index of column to remove. + + Returns: + `datasets.table.Table`: + New table without the column. + """ + return InMemoryTable(self.table.remove_column(*args, **kwargs)) + + def set_column(self, *args, **kwargs): + """ + Replace column in Table at position. + + Args: + i (`int`): + Index to place the column at. + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: + New table with the passed column set. + """ + return InMemoryTable(self.table.set_column(*args, **kwargs)) + + def rename_columns(self, *args, **kwargs): + """ + Create new table with columns renamed to provided names. + """ + return InMemoryTable(self.table.rename_columns(*args, **kwargs)) + + def drop(self, *args, **kwargs): + """ + Drop one or more columns and return a new table. + + Args: + columns (`List[str]`): + List of field names referencing existing columns. + + Raises: + `KeyError` : if any of the passed columns name are not existing. + + Returns: + `datasets.table.Table`: + New table without the columns. + """ + return InMemoryTable(self.table.drop(*args, **kwargs)) + + def select(self, *args, **kwargs): + """ + Select columns of the table. + + Returns a new table with the specified columns, and metadata preserved. + + Args: + columns (:obj:`Union[List[str], List[int]]`): + The column names or integer indices to select. + + Returns: + :class:`datasets.table.Table`: New table with the specified columns, and metadata preserved. + """ + return InMemoryTable(self.table.select(*args, **kwargs)) + + +# The MemoryMappedTable needs replays to properly reload tables from the disk +Replay = tuple[str, tuple, dict] + + +class MemoryMappedTable(TableBlock): + """ + The table is said memory mapped when it doesn't use the user's RAM but loads the data + from the disk instead. + + Pickling it doesn't copy the data into memory. + Instead, only the path to the memory mapped arrow file is pickled, as well as the list + of transforms to "replay" when reloading the table from the disk. + + Its implementation requires to store an history of all the transforms that were applied + to the underlying pyarrow Table, so that they can be "replayed" when reloading the Table + from the disk. + + This is different from the `InMemoryTable` table, for which pickling does copy all the + data in memory. + + `InMemoryTable` must be used when data fit in memory, while `MemoryMapped` are reserved for + data bigger than memory or when you want the memory footprint of your application to + stay low. + """ + + def __init__(self, table: pa.Table, path: str, replays: Optional[list[Replay]] = None): + super().__init__(table) + self.path = os.path.abspath(path) + self.replays: list[Replay] = replays if replays is not None else [] + + @classmethod + def from_file(cls, filename: str, replays=None): + table = _memory_mapped_arrow_table_from_file(filename) + table = cls._apply_replays(table, replays) + return cls(table, filename, replays) + + def __getstate__(self): + return {"path": self.path, "replays": self.replays} + + def __setstate__(self, state): + path = state["path"] + replays = state["replays"] + table = _memory_mapped_arrow_table_from_file(path) + table = self._apply_replays(table, replays) + MemoryMappedTable.__init__(self, table, path=path, replays=replays) + + @staticmethod + def _apply_replays(table: pa.Table, replays: Optional[list[Replay]] = None) -> pa.Table: + if replays is not None: + for name, args, kwargs in replays: + if name == "cast": + table = table_cast(table, *args, **kwargs) + elif name == "flatten": + table = table_flatten(table, *args, **kwargs) + else: + table = getattr(table, name)(*args, **kwargs) + return table + + def _append_replay(self, replay: Replay) -> list[Replay]: + replays = copy.deepcopy(self.replays) + replays.append(replay) + return replays + + def slice(self, offset=0, length=None): + """ + Compute zero-copy slice of this Table. + + Args: + offset (`int`, defaults to `0`): + Offset from start of table to slice. + length (`int`, defaults to `None`): + Length of slice (default is until end of table starting from + offset). + + Returns: + `datasets.table.Table` + """ + replay = ("slice", (offset, length), {}) + replays = self._append_replay(replay) + # Use fast slicing here + return MemoryMappedTable(self.fast_slice(offset=offset, length=length), self.path, replays) + + def filter(self, *args, **kwargs): + """ + Select records from a Table. See `pyarrow.compute.filter` for full usage. + """ + replay = ("filter", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(self.table.filter(*args, **kwargs), self.path, replays) + + def flatten(self, *args, **kwargs): + """ + Flatten this Table. Each column with a struct type is flattened + into one column per struct field. Other columns are left unchanged. + + Args: + memory_pool (`MemoryPool`, defaults to `None`): + For memory allocations, if required, otherwise use default pool. + + Returns: + `datasets.table.Table` + """ + replay = ("flatten", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(table_flatten(self.table, *args, **kwargs), self.path, replays) + + def combine_chunks(self, *args, **kwargs): + """ + Make a new table by combining the chunks this table has. + + All the underlying chunks in the ChunkedArray of each column are + concatenated into zero or one chunk. + + Args: + memory_pool (`MemoryPool`, defaults to `None`): + For memory allocations, if required, otherwise use default pool. + + Returns: + `datasets.table.Table` + """ + replay = ("combine_chunks", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(self.table.combine_chunks(*args, **kwargs), self.path, replays) + + def cast(self, *args, **kwargs): + """ + Cast table values to another schema + + Args: + target_schema (`Schema`): + Schema to cast to, the names and order of fields must match. + safe (`bool`, defaults to `True`): + Check for overflows or other unsafe conversions. + + Returns: + `datasets.table.Table` + """ + replay = ("cast", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(table_cast(self.table, *args, **kwargs), self.path, replays) + + def replace_schema_metadata(self, *args, **kwargs): + """ + EXPERIMENTAL: Create shallow copy of table by replacing schema + key-value metadata with the indicated new metadata (which may be None, + which deletes any existing metadata. + + Args: + metadata (`dict`, defaults to `None`): + + Returns: + `datasets.table.Table`: shallow_copy + """ + replay = ("replace_schema_metadata", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(self.table.replace_schema_metadata(*args, **kwargs), self.path, replays) + + def add_column(self, *args, **kwargs): + """ + Add column to Table at position. + + A new table is returned with the column added, the original table + object is left unchanged. + + Args: + i (`int`): + Index to place the column at. + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: New table with the passed column added. + """ + replay = ("add_column", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(self.table.add_column(*args, **kwargs), self.path, replays) + + def append_column(self, *args, **kwargs): + """ + Append column at end of columns. + + Args: + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: + New table with the passed column added. + """ + replay = ("append_column", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(self.table.append_column(*args, **kwargs), self.path, replays) + + def remove_column(self, *args, **kwargs): + """ + Create new Table with the indicated column removed. + + Args: + i (`int`): + Index of column to remove. + + Returns: + `datasets.table.Table`: + New table without the column. + """ + replay = ("remove_column", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(self.table.remove_column(*args, **kwargs), self.path, replays) + + def set_column(self, *args, **kwargs): + """ + Replace column in Table at position. + + Args: + i (`int`): + Index to place the column at. + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: + New table with the passed column set. + """ + replay = ("set_column", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(self.table.set_column(*args, **kwargs), self.path, replays) + + def rename_columns(self, *args, **kwargs): + """ + Create new table with columns renamed to provided names. + """ + replay = ("rename_columns", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(self.table.rename_columns(*args, **kwargs), self.path, replays) + + def drop(self, *args, **kwargs): + """ + Drop one or more columns and return a new table. + + Args: + columns (`List[str]`): + List of field names referencing existing columns. + + Raises: + `KeyError` : if any of the passed columns name are not existing. + + Returns: + `datasets.table.Table`: + New table without the columns. + """ + replay = ("drop", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(self.table.drop(*args, **kwargs), self.path, replays) + + def select(self, *args, **kwargs): + """ + Select columns of the table. + + Returns a new table with the specified columns, and metadata preserved. + + Args: + columns (:obj:`Union[List[str], List[int]]`): + The column names or integer indices to select. + + Returns: + :class:`datasets.table.Table`: New table with the specified columns, and metadata preserved. + """ + replay = ("select", copy.deepcopy(args), copy.deepcopy(kwargs)) + replays = self._append_replay(replay) + return MemoryMappedTable(self.table.select(*args, **kwargs), self.path, replays) + + +# A ConcatenationTable is the concatenation of several tables. +# The ``blocks`` attributes stores a list of list of blocks. +# The first axis concatenates the tables along the axis 0 (it appends rows), +# while the second axis concatenates tables along the axis 1 (it appends columns). +TableBlockContainer = TypeVar("TableBlockContainer", TableBlock, list[TableBlock], list[list[TableBlock]]) + + +class ConcatenationTable(Table): + """ + The table comes from the concatenation of several tables called blocks. + It enables concatenation on both axis 0 (append rows) and axis 1 (append columns). + + The underlying tables are called "blocks" and can be either `InMemoryTable` + or `MemoryMappedTable` objects. + This allows to combine tables that come from memory or that are memory mapped. + When a `ConcatenationTable` is pickled, then each block is pickled: + - the `InMemoryTable` objects are pickled by copying all the data in memory. + - the MemoryMappedTable objects are pickled without copying the data into memory. + Instead, only the path to the memory mapped arrow file is pickled, as well as the list + of transforms to "replays" when reloading the table from the disk. + + Its implementation requires to store each block separately. + The `blocks` attributes stores a list of list of blocks. + The first axis concatenates the tables along the axis 0 (it appends rows), + while the second axis concatenates tables along the axis 1 (it appends columns). + + If some columns are missing when concatenating on axis 0, they are filled with null values. + This is done using `pyarrow.concat_tables(tables, promote=True)`. + + You can access the fully combined table by accessing the `ConcatenationTable.table` attribute, + and the blocks by accessing the `ConcatenationTable.blocks` attribute. + """ + + def __init__(self, table: pa.Table, blocks: list[list[TableBlock]]): + super().__init__(table) + self.blocks = blocks + # Check that all the blocks have the right type. + # Only InMemoryTable and MemoryMappedTable are allowed. + for subtables in blocks: + for subtable in subtables: + if not isinstance(subtable, TableBlock): + raise TypeError( + "The blocks of a ConcatenationTable must be InMemoryTable or MemoryMappedTable objects" + f", but got {_short_str(subtable)}." + ) + + def __getstate__(self): + return {"blocks": self.blocks, "schema": self.table.schema} + + def __setstate__(self, state): + blocks = state["blocks"] + schema = state["schema"] + table = self._concat_blocks_horizontally_and_vertically(blocks) + if schema is not None and table.schema != schema: + # We fix the columns by concatenating with an empty table with the right columns + empty_table = pa.Table.from_batches([], schema=schema) + # We set promote_options="default" to fill missing columns with null values + table = pa.concat_tables([table, empty_table], promote_options="default") + ConcatenationTable.__init__(self, table, blocks=blocks) + + @staticmethod + def _concat_blocks(blocks: list[Union[TableBlock, pa.Table]], axis: int = 0) -> pa.Table: + pa_tables = [table.table if hasattr(table, "table") else table for table in blocks] + if axis == 0: + # We set promote_options="default" to fill missing columns with null values + return pa.concat_tables(pa_tables, promote_options="default") + elif axis == 1: + for i, table in enumerate(pa_tables): + if i == 0: + pa_table = table + else: + for name, col in zip(table.column_names, table.columns): + pa_table = pa_table.append_column(name, col) + return pa_table + else: + raise ValueError("'axis' must be either 0 or 1") + + @classmethod + def _concat_blocks_horizontally_and_vertically(cls, blocks: list[list[TableBlock]]) -> pa.Table: + pa_tables_to_concat_vertically = [] + for i, tables in enumerate(blocks): + if not tables: + continue + pa_table_horizontally_concatenated = cls._concat_blocks(tables, axis=1) + pa_tables_to_concat_vertically.append(pa_table_horizontally_concatenated) + return cls._concat_blocks(pa_tables_to_concat_vertically, axis=0) + + @classmethod + def _merge_blocks(cls, blocks: TableBlockContainer, axis: Optional[int] = None) -> TableBlockContainer: + if axis is not None: + merged_blocks = [] + for is_in_memory, block_group in groupby(blocks, key=lambda x: isinstance(x, InMemoryTable)): + if is_in_memory: + block_group = [InMemoryTable(cls._concat_blocks(list(block_group), axis=axis))] + merged_blocks += list(block_group) + else: # both + merged_blocks = [cls._merge_blocks(row_block, axis=1) for row_block in blocks] + if all(len(row_block) == 1 for row_block in merged_blocks): + merged_blocks = cls._merge_blocks( + [block for row_block in merged_blocks for block in row_block], axis=0 + ) + return merged_blocks + + @classmethod + def _consolidate_blocks(cls, blocks: TableBlockContainer) -> TableBlockContainer: + if isinstance(blocks, TableBlock): + return blocks + elif isinstance(blocks[0], TableBlock): + return cls._merge_blocks(blocks, axis=0) + else: + return cls._merge_blocks(blocks) + + @classmethod + def from_blocks(cls, blocks: TableBlockContainer) -> "ConcatenationTable": + blocks = cls._consolidate_blocks(blocks) + if isinstance(blocks, TableBlock): + table = blocks + return cls(table.table, [[table]]) + elif isinstance(blocks[0], TableBlock): + table = cls._concat_blocks(blocks, axis=0) + blocks = [[t] for t in blocks] + return cls(table, blocks) + else: + table = cls._concat_blocks_horizontally_and_vertically(blocks) + return cls(table, blocks) + + @classmethod + def from_tables(cls, tables: list[Union[pa.Table, Table]], axis: int = 0) -> "ConcatenationTable": + """Create `ConcatenationTable` from list of tables. + + Args: + tables (list of `Table` or list of `pyarrow.Table`): + List of tables. + axis (`{0, 1}`, defaults to `0`, meaning over rows): + Axis to concatenate over, where `0` means over rows (vertically) and `1` means over columns + (horizontally). + + + """ + + def to_blocks(table: Union[pa.Table, Table]) -> list[list[TableBlock]]: + if isinstance(table, pa.Table): + return [[InMemoryTable(table)]] + elif isinstance(table, ConcatenationTable): + return copy.deepcopy(table.blocks) + else: + return [[table]] + + def _slice_row_block(row_block: list[TableBlock], length: int) -> tuple[list[TableBlock], list[TableBlock]]: + sliced = [table.slice(0, length) for table in row_block] + remainder = [table.slice(length, len(row_block[0]) - length) for table in row_block] + return sliced, remainder + + def _split_both_like( + result: list[list[TableBlock]], blocks: list[list[TableBlock]] + ) -> tuple[list[list[TableBlock]], list[list[TableBlock]]]: + """ + Make sure each row_block contain the same num_rows to be able to concatenate them on axis=1. + + To do so, we modify both blocks sets to have the same row_blocks boundaries. + For example, if `result` has 2 row_blocks of 3 rows and `blocks` has 3 row_blocks of 2 rows, + we modify both to have 4 row_blocks of size 2, 1, 1 and 2: + + [ x x x | x x x ] + + [ y y | y y | y y ] + ----------------------------- + = [ x x | x | x | x x ] + [ y y | y | y | y y ] + + """ + result, blocks = list(result), list(blocks) + new_result, new_blocks = [], [] + while result and blocks: + # we slice the longest row block to save two row blocks of same length + # and we replace the long row block by its remainder if necessary + if len(result[0][0]) > len(blocks[0][0]): + new_blocks.append(blocks[0]) + sliced, result[0] = _slice_row_block(result[0], len(blocks.pop(0)[0])) + new_result.append(sliced) + elif len(result[0][0]) < len(blocks[0][0]): + new_result.append(result[0]) + sliced, blocks[0] = _slice_row_block(blocks[0], len(result.pop(0)[0])) + new_blocks.append(sliced) + else: + new_result.append(result.pop(0)) + new_blocks.append(blocks.pop(0)) + if result or blocks: + raise ValueError("Failed to concatenate on axis=1 because tables don't have the same number of rows") + return new_result, new_blocks + + def _extend_blocks( + result: list[list[TableBlock]], blocks: list[list[TableBlock]], axis: int = 0 + ) -> list[list[TableBlock]]: + if axis == 0: + result.extend(blocks) + elif axis == 1: + # We make sure each row_block have the same num_rows + result, blocks = _split_both_like(result, blocks) + for i, row_block in enumerate(blocks): + result[i].extend(row_block) + return result + + blocks = to_blocks(tables[0]) + for table in tables[1:]: + table_blocks = to_blocks(table) + blocks = _extend_blocks(blocks, table_blocks, axis=axis) + return cls.from_blocks(blocks) + + @property + def _slices(self): + offset = 0 + for tables in self.blocks: + length = len(tables[0]) + yield (offset, length) + offset += length + + def slice(self, offset=0, length=None): + """ + Compute zero-copy slice of this Table. + + Args: + offset (`int`, defaults to `0`): + Offset from start of table to slice. + length (`int`, defaults to `None`): + Length of slice (default is until end of table starting from + offset). + + Returns: + `datasets.table.Table` + """ + table = self.table.slice(offset, length=length) + length = length if length is not None else self.num_rows - offset + blocks = [] + for tables in self.blocks: + n_rows = len(tables[0]) + if length == 0: + break + elif n_rows <= offset: + offset = offset - n_rows + elif n_rows <= offset + length: + blocks.append([t.slice(offset) for t in tables]) + length, offset = length + offset - n_rows, 0 + else: + blocks.append([t.slice(offset, length) for t in tables]) + length, offset = 0, 0 + return ConcatenationTable(table, blocks) + + def filter(self, mask, *args, **kwargs): + """ + Select records from a Table. See `pyarrow.compute.filter` for full usage. + """ + table = self.table.filter(mask, *args, **kwargs) + blocks = [] + for (offset, length), tables in zip(self._slices, self.blocks): + submask = mask.slice(offset, length) + blocks.append([t.filter(submask, *args, **kwargs) for t in tables]) + return ConcatenationTable(table, blocks) + + def flatten(self, *args, **kwargs): + """ + Flatten this Table. Each column with a struct type is flattened + into one column per struct field. Other columns are left unchanged. + + Args: + memory_pool (`MemoryPool`, defaults to `None`): + For memory allocations, if required, otherwise use default pool. + + Returns: + `datasets.table.Table` + """ + table = table_flatten(self.table, *args, **kwargs) + blocks = [] + for tables in self.blocks: + blocks.append([t.flatten(*args, **kwargs) for t in tables]) + return ConcatenationTable(table, blocks) + + def combine_chunks(self, *args, **kwargs): + """ + Make a new table by combining the chunks this table has. + + All the underlying chunks in the `ChunkedArray` of each column are + concatenated into zero or one chunk. + + Args: + memory_pool (`MemoryPool`, defaults to `None`): + For memory allocations, if required, otherwise use default pool. + + Returns: + `datasets.table.Table` + """ + table = self.table.combine_chunks(*args, **kwargs) + blocks = [] + for tables in self.blocks: + blocks.append([t.combine_chunks(*args, **kwargs) for t in tables]) + return ConcatenationTable(table, blocks) + + def cast(self, target_schema, *args, **kwargs): + """ + Cast table values to another schema. + + Args: + target_schema (`Schema`): + Schema to cast to, the names and order of fields must match. + safe (`bool`, defaults to `True`): + Check for overflows or other unsafe conversions. + + Returns: + `datasets.table.Table` + """ + from .features import Features + + table = table_cast(self.table, target_schema, *args, **kwargs) + target_features = Features.from_arrow_schema(target_schema) + blocks = [] + for subtables in self.blocks: + new_tables = [] + fields = list(target_schema) + for subtable in subtables: + subfields = [] + for name in subtable.column_names: + subfields.append(fields.pop(next(i for i, field in enumerate(fields) if field.name == name))) + subfeatures = Features({subfield.name: target_features[subfield.name] for subfield in subfields}) + subschema = subfeatures.arrow_schema + new_tables.append(subtable.cast(subschema, *args, **kwargs)) + blocks.append(new_tables) + return ConcatenationTable(table, blocks) + + def replace_schema_metadata(self, *args, **kwargs): + """ + EXPERIMENTAL: Create shallow copy of table by replacing schema + key-value metadata with the indicated new metadata (which may be `None`, + which deletes any existing metadata). + + Args: + metadata (`dict`, defaults to `None`): + + Returns: + `datasets.table.Table`: shallow_copy + """ + table = self.table.replace_schema_metadata(*args, **kwargs) + blocks = [] + for tables in self.blocks: + blocks.append([t.replace_schema_metadata(*args, **kwargs) for t in tables]) + return ConcatenationTable(table, self.blocks) + + def add_column(self, *args, **kwargs): + """ + Add column to Table at position. + + A new table is returned with the column added, the original table + object is left unchanged. + + Args: + i (`int`): + Index to place the column at. + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: New table with the passed column added. + """ + raise NotImplementedError() + + def append_column(self, *args, **kwargs): + """ + Append column at end of columns. + + Args: + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: + New table with the passed column added. + """ + raise NotImplementedError() + + def remove_column(self, i, *args, **kwargs): + """ + Create new Table with the indicated column removed. + + Args: + i (`int`): + Index of column to remove. + + Returns: + `datasets.table.Table`: + New table without the column. + """ + table = self.table.remove_column(i, *args, **kwargs) + name = self.table.column_names[i] + blocks = [] + for tables in self.blocks: + blocks.append( + [ + t.remove_column(t.column_names.index(name), *args, **kwargs) if name in t.column_names else t + for t in tables + ] + ) + return ConcatenationTable(table, blocks) + + def set_column(self, *args, **kwargs): + """ + Replace column in Table at position. + + Args: + i (`int`): + Index to place the column at. + field_ (`Union[str, pyarrow.Field]`): + If a string is passed then the type is deduced from the column + data. + column (`Union[pyarrow.Array, List[pyarrow.Array]]`): + Column data. + + Returns: + `datasets.table.Table`: + New table with the passed column set. + """ + raise NotImplementedError() + + def rename_columns(self, names, *args, **kwargs): + """ + Create new table with columns renamed to provided names. + """ + table = self.table.rename_columns(names, *args, **kwargs) + names = dict(zip(self.table.column_names, names)) + blocks = [] + for tables in self.blocks: + blocks.append( + [t.rename_columns([names[name] for name in t.column_names], *args, **kwargs) for t in tables] + ) + return ConcatenationTable(table, blocks) + + def drop(self, columns, *args, **kwargs): + """ + Drop one or more columns and return a new table. + + Args: + columns (`List[str]`): + List of field names referencing existing columns. + + Raises: + `KeyError` : if any of the passed columns name are not existing. + + Returns: + `datasets.table.Table`: + New table without the columns. + """ + table = self.table.drop(columns, *args, **kwargs) + blocks = [] + for tables in self.blocks: + blocks.append([t.drop([c for c in columns if c in t.column_names], *args, **kwargs) for t in tables]) + return ConcatenationTable(table, blocks) + + def select(self, columns, *args, **kwargs): + """ + Select columns of the table. + + Returns a new table with the specified columns, and metadata preserved. + + Args: + columns (:obj:`Union[List[str], List[int]]`): + The column names or integer indices to select. + + Returns: + :class:`datasets.table.Table`: New table with the specified columns, and metadata preserved. + """ + table = self.table.select(columns, *args, **kwargs) + blocks = [] + for tables in self.blocks: + blocks.append([t.select([c for c in columns if c in t.column_names], *args, **kwargs) for t in tables]) + return ConcatenationTable(table, blocks) + + +def concat_tables(tables: list[Table], axis: int = 0) -> Table: + """ + Concatenate tables. + + Args: + tables (list of `Table`): + List of tables to be concatenated. + axis (`{0, 1}`, defaults to `0`, meaning over rows): + Axis to concatenate over, where `0` means over rows (vertically) and `1` means over columns + (horizontally). + + + Returns: + `datasets.table.Table`: + If the number of input tables is > 1, then the returned table is a `datasets.table.ConcatenationTable`. + Otherwise if there's only one table, it is returned as is. + """ + tables = list(tables) + if len(tables) == 1: + return tables[0] + return ConcatenationTable.from_tables(tables, axis=axis) + + +def list_table_cache_files(table: Table) -> list[str]: + """ + Get the cache files that are loaded by the table. + Cache file are used when parts of the table come from the disk via memory mapping. + + Returns: + `List[str]`: + A list of paths to the cache files loaded by the table. + """ + if isinstance(table, ConcatenationTable): + cache_files = [] + for subtables in table.blocks: + for subtable in subtables: + cache_files += list_table_cache_files(subtable) + return cache_files + elif isinstance(table, MemoryMappedTable): + return [table.path] + else: + return [] + + +def _wrap_for_chunked_arrays(func): + """Apply the function on each chunk of a `pyarrow.ChunkedArray`, or on the array directly""" + + def wrapper(array, *args, **kwargs): + if isinstance(array, pa.ChunkedArray): + return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) + else: + return func(array, *args, **kwargs) + + return wrapper + + +def _are_list_values_of_length(array: pa.ListArray, length: int) -> bool: + """Check if all the sub-lists of a `pa.ListArray` have the specified length.""" + return pc.all(pc.equal(array.value_lengths(), length)).as_py() or array.null_count == len(array) + + +def _combine_list_array_offsets_with_mask(array: pa.ListArray) -> pa.Array: + """Add the null bitmap to the offsets of a `pa.ListArray`.""" + offsets = array.offsets + if array.null_count > 0: + offsets = pa.concat_arrays( + [ + pc.replace_with_mask(offsets[:-1], array.is_null(), pa.nulls(len(array), pa.int32())), + offsets[-1:], + ] + ) + return offsets + + +def _storage_type(type: pa.DataType) -> pa.DataType: + """Convert a (possibly nested) `pa.ExtensionType` to its storage type.""" + if isinstance(type, pa.ExtensionType): + return _storage_type(type.storage_type) + elif isinstance(type, pa.StructType): + return pa.struct([pa.field(field.name, _storage_type(field.type)) for field in type]) + elif isinstance(type, pa.ListType): + return pa.list_(_storage_type(type.value_type)) + elif isinstance(type, pa.FixedSizeListType): + return pa.list_(_storage_type(type.value_type), type.list_size) + return type + + +def _short_str(value: Any) -> str: + out = str(value) + if len(out) > 3000: + out = out[:1500] + "\n...\n" + out[-1500:] + return out + + +@_wrap_for_chunked_arrays +def array_cast( + array: pa.Array, pa_type: pa.DataType, allow_primitive_to_str: bool = True, allow_decimal_to_str: bool = True +) -> Union[pa.Array, pa.FixedSizeListArray, pa.ListArray, pa.StructArray, pa.ExtensionArray]: + """Improved version of `pa.Array.cast` + + It supports casting `pa.StructArray` objects to re-order the fields. + It also let you control certain aspects of the casting, e.g. whether + to disable casting primitives (`booleans`, `floats` or `ints`) or + disable casting decimals to strings. + + Args: + array (`pa.Array`): + PyArrow array to cast + pa_type (`pa.DataType`): + Target PyArrow type + allow_primitive_to_str (`bool`, defaults to `True`): + Whether to allow casting primitives to strings. + Defaults to `True`. + allow_decimal_to_str (`bool`, defaults to `True`): + Whether to allow casting decimals to strings. + Defaults to `True`. + + Raises: + `pa.ArrowInvalidError`: if the arrow data casting fails + `TypeError`: if the target type is not supported according, e.g. + + - if a field is missing + - if casting from primitives to strings and `allow_primitive_to_str` is `False` + - if casting from decimals to strings and `allow_decimal_to_str` is `False` + + Returns: + `List[pyarrow.Array]`: the casted array + """ + _c = partial(array_cast, allow_primitive_to_str=allow_primitive_to_str, allow_decimal_to_str=allow_decimal_to_str) + if isinstance(array, pa.ExtensionArray): + array = array.storage + if isinstance(pa_type, pa.ExtensionType): + return pa_type.wrap_array(_c(array, pa_type.storage_type)) + elif array.type == pa_type: + return array + elif pa.types.is_struct(array.type): + if pa.types.is_struct(pa_type) and ({field.name for field in pa_type} == {field.name for field in array.type}): + if array.type.num_fields == 0: + return array + arrays = [_c(array.field(field.name), field.type) for field in pa_type] + return pa.StructArray.from_arrays(arrays, fields=list(pa_type), mask=array.is_null()) + elif pa.types.is_list(array.type) or pa.types.is_large_list(array.type): + if pa.types.is_fixed_size_list(pa_type): + if _are_list_values_of_length(array, pa_type.list_size): + if array.null_count > 0: + # Ensure each null value in the array translates to [null] * pa_type.list_size in the array's values array + array_type = array.type + storage_type = _storage_type(array_type) + if array_type != storage_type: + # Temporarily convert to the storage type to support extension types in the slice operation + array = _c(array, storage_type) + array = pc.list_slice(array, 0, pa_type.list_size, return_fixed_size_list=True) + array = _c(array, array_type) + else: + array = pc.list_slice(array, 0, pa_type.list_size, return_fixed_size_list=True) + array_values = array.values + return pa.FixedSizeListArray.from_arrays( + _c(array_values, pa_type.value_type), pa_type.list_size, mask=array.is_null() + ) + else: + array_values = array.values[ + array.offset * pa_type.list_size : (array.offset + len(array)) * pa_type.list_size + ] + return pa.FixedSizeListArray.from_arrays(_c(array_values, pa_type.value_type), pa_type.list_size) + elif pa.types.is_list(pa_type): + # Merge offsets with the null bitmap to avoid the "Null bitmap with offsets slice not supported" ArrowNotImplementedError + array_offsets = _combine_list_array_offsets_with_mask(array) + return pa.ListArray.from_arrays(array_offsets, _c(array.values, pa_type.value_type)) + elif pa.types.is_large_list(pa_type): + # Merge offsets with the null bitmap to avoid the "Null bitmap with offsets slice not supported" ArrowNotImplementedError + array_offsets = _combine_list_array_offsets_with_mask(array) + return pa.LargeListArray.from_arrays(array_offsets, _c(array.values, pa_type.value_type)) + elif pa.types.is_fixed_size_list(array.type): + if pa.types.is_fixed_size_list(pa_type): + if pa_type.list_size == array.type.list_size: + array_values = array.values[ + array.offset * array.type.list_size : (array.offset + len(array)) * array.type.list_size + ] + return pa.FixedSizeListArray.from_arrays( + _c(array_values, pa_type.value_type), pa_type.list_size, mask=array.is_null() + ) + elif pa.types.is_list(pa_type): + array_offsets = (np.arange(len(array) + 1) + array.offset) * array.type.list_size + return pa.ListArray.from_arrays(array_offsets, _c(array.values, pa_type.value_type), mask=array.is_null()) + elif pa.types.is_large_list(pa_type): + array_offsets = (np.arange(len(array) + 1) + array.offset) * array.type.list_size + return pa.LargeListArray.from_arrays( + array_offsets, _c(array.values, pa_type.value_type), mask=array.is_null() + ) + else: + if pa.types.is_string(pa_type): + if not allow_primitive_to_str and pa.types.is_primitive(array.type): + raise TypeError( + f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)} " + f"since allow_primitive_to_str is set to {allow_primitive_to_str} " + ) + if not allow_decimal_to_str and pa.types.is_decimal(array.type): + raise TypeError( + f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)} " + f"and allow_decimal_to_str is set to {allow_decimal_to_str}" + ) + if pa.types.is_null(pa_type) and not pa.types.is_null(array.type): + raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}") + return array.cast(pa_type) + raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}") + + +@_wrap_for_chunked_arrays +def cast_array_to_feature( + array: pa.Array, feature: "FeatureType", allow_primitive_to_str: bool = True, allow_decimal_to_str: bool = True +) -> pa.Array: + """Cast an array to the arrow type that corresponds to the requested feature type. + For custom features like [`Audio`] or [`Image`], it takes into account the "cast_storage" methods + they defined to enable casting from other arrow types. + + Args: + array (`pa.Array`): + The PyArrow array to cast. + feature (`datasets.features.FeatureType`): + The target feature type. + allow_primitive_to_str (`bool`, defaults to `True`): + Whether to allow casting primitives to strings. + Defaults to `True`. + allow_decimal_to_str (`bool`, defaults to `True`): + Whether to allow casting decimals to strings. + Defaults to `True`. + + Raises: + `pa.ArrowInvalidError`: if the arrow data casting fails + `TypeError`: if the target type is not supported according, e.g. + + - if a field is missing + - if casting from primitives and `allow_primitive_to_str` is `False` + - if casting from decimals and `allow_decimal_to_str` is `False` + + Returns: + array (`pyarrow.Array`): the casted array + """ + from .features.features import LargeList, Sequence, get_nested_type + + _c = partial( + cast_array_to_feature, + allow_primitive_to_str=allow_primitive_to_str, + allow_decimal_to_str=allow_decimal_to_str, + ) + + if isinstance(array, pa.ExtensionArray): + array = array.storage + if hasattr(feature, "cast_storage"): + return feature.cast_storage(array) + + elif pa.types.is_struct(array.type): + # feature must be a dict or Sequence(subfeatures_dict) + if isinstance(feature, Sequence) and isinstance(feature.feature, dict): + sequence_kwargs = vars(feature).copy() + feature = sequence_kwargs.pop("feature") + feature = {name: Sequence(subfeature, **sequence_kwargs) for name, subfeature in feature.items()} + if isinstance(feature, dict) and (array_fields := {field.name for field in array.type}) <= set(feature): + null_array = pa.array([None] * len(array)) + arrays = [ + _c(array.field(name) if name in array_fields else null_array, subfeature) + for name, subfeature in feature.items() + ] + return pa.StructArray.from_arrays(arrays, names=list(feature), mask=array.is_null()) + elif pa.types.is_list(array.type) or pa.types.is_large_list(array.type): + # feature must be either [subfeature] or LargeList(subfeature) or Sequence(subfeature) + if isinstance(feature, list): + casted_array_values = _c(array.values, feature[0]) + if pa.types.is_list(array.type) and casted_array_values.type == array.values.type: + # Both array and feature have equal list type and values (within the list) type + return array + else: + # Merge offsets with the null bitmap to avoid the "Null bitmap with offsets slice not supported" ArrowNotImplementedError + array_offsets = _combine_list_array_offsets_with_mask(array) + return pa.ListArray.from_arrays(array_offsets, casted_array_values) + elif isinstance(feature, LargeList): + casted_array_values = _c(array.values, feature.feature) + if pa.types.is_large_list(array.type) and casted_array_values.type == array.values.type: + # Both array and feature have equal large_list type and values (within the list) type + return array + else: + # Merge offsets with the null bitmap to avoid the "Null bitmap with offsets slice not supported" ArrowNotImplementedError + array_offsets = _combine_list_array_offsets_with_mask(array) + return pa.LargeListArray.from_arrays(array_offsets, casted_array_values) + elif isinstance(feature, Sequence): + if feature.length > -1: + if _are_list_values_of_length(array, feature.length): + if array.null_count > 0: + # Ensure each null value in the array translates to [null] * pa_type.list_size in the array's values array + array_type = array.type + storage_type = _storage_type(array_type) + if array_type != storage_type: + # Temporarily convert to the storage type to support extension types in the slice operation + array = array_cast( + array, + storage_type, + allow_primitive_to_str=allow_primitive_to_str, + allow_decimal_to_str=allow_decimal_to_str, + ) + array = pc.list_slice(array, 0, feature.length, return_fixed_size_list=True) + array = array_cast( + array, + array_type, + allow_primitive_to_str=allow_primitive_to_str, + allow_decimal_to_str=allow_decimal_to_str, + ) + else: + array = pc.list_slice(array, 0, feature.length, return_fixed_size_list=True) + array_values = array.values + casted_array_values = _c(array_values, feature.feature) + return pa.FixedSizeListArray.from_arrays( + casted_array_values, feature.length, mask=array.is_null() + ) + else: + array_values = array.values[ + array.offset * feature.length : (array.offset + len(array)) * feature.length + ] + return pa.FixedSizeListArray.from_arrays(_c(array_values, feature.feature), feature.length) + else: + casted_array_values = _c(array.values, feature.feature) + if pa.types.is_list(array.type) and casted_array_values.type == array.values.type: + # Both array and feature have equal list type and values (within the list) type + return array + else: + # Merge offsets with the null bitmap to avoid the "Null bitmap with offsets slice not supported" ArrowNotImplementedError + array_offsets = _combine_list_array_offsets_with_mask(array) + return pa.ListArray.from_arrays(array_offsets, casted_array_values) + elif pa.types.is_fixed_size_list(array.type): + # feature must be either [subfeature] or Sequence(subfeature) + if isinstance(feature, list): + array_offsets = (np.arange(len(array) + 1) + array.offset) * array.type.list_size + return pa.ListArray.from_arrays(array_offsets, _c(array.values, feature[0]), mask=array.is_null()) + elif isinstance(feature, LargeList): + array_offsets = (np.arange(len(array) + 1) + array.offset) * array.type.list_size + return pa.LargeListArray.from_arrays( + array_offsets, _c(array.values, feature.feature), mask=array.is_null() + ) + elif isinstance(feature, Sequence): + if feature.length > -1: + if feature.length == array.type.list_size: + array_values = array.values[ + array.offset * array.type.list_size : (array.offset + len(array)) * array.type.list_size + ] + casted_array_values = _c(array_values, feature.feature) + return pa.FixedSizeListArray.from_arrays(casted_array_values, feature.length, mask=array.is_null()) + else: + array_offsets = (np.arange(len(array) + 1) + array.offset) * array.type.list_size + return pa.ListArray.from_arrays(array_offsets, _c(array.values, feature.feature), mask=array.is_null()) + if pa.types.is_null(array.type): + return array_cast( + array, + get_nested_type(feature), + allow_primitive_to_str=allow_primitive_to_str, + allow_decimal_to_str=allow_decimal_to_str, + ) + elif not isinstance(feature, (Sequence, dict, list, tuple)): + return array_cast( + array, + feature(), + allow_primitive_to_str=allow_primitive_to_str, + allow_decimal_to_str=allow_decimal_to_str, + ) + raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}") + + +@_wrap_for_chunked_arrays +def embed_array_storage(array: pa.Array, feature: "FeatureType"): + """Embed data into an arrays's storage. + For custom features like Audio or Image, it takes into account the "embed_storage" methods + they define to embed external data (e.g. an image file) into an array. + + + + Args: + array (`pa.Array`): + The PyArrow array in which to embed data. + feature (`datasets.features.FeatureType`): + Array features. + + Raises: + `TypeError`: if the target type is not supported according, e.g. + + - if a field is missing + + Returns: + array (`pyarrow.Array`): the casted array + """ + from .features import Sequence + + _e = embed_array_storage + + if isinstance(array, pa.ExtensionArray): + array = array.storage + if hasattr(feature, "embed_storage"): + return feature.embed_storage(array) + elif pa.types.is_struct(array.type): + # feature must be a dict or Sequence(subfeatures_dict) + if isinstance(feature, Sequence) and isinstance(feature.feature, dict): + feature = { + name: Sequence(subfeature, length=feature.length) for name, subfeature in feature.feature.items() + } + if isinstance(feature, dict): + arrays = [_e(array.field(name), subfeature) for name, subfeature in feature.items()] + return pa.StructArray.from_arrays(arrays, names=list(feature), mask=array.is_null()) + elif pa.types.is_list(array.type): + # feature must be either [subfeature] or Sequence(subfeature) + # Merge offsets with the null bitmap to avoid the "Null bitmap with offsets slice not supported" ArrowNotImplementedError + array_offsets = _combine_list_array_offsets_with_mask(array) + if isinstance(feature, list): + return pa.ListArray.from_arrays(array_offsets, _e(array.values, feature[0])) + if isinstance(feature, Sequence) and feature.length == -1: + return pa.ListArray.from_arrays(array_offsets, _e(array.values, feature.feature)) + elif pa.types.is_large_list(array.type): + # feature must be LargeList(subfeature) + # Merge offsets with the null bitmap to avoid the "Null bitmap with offsets slice not supported" ArrowNotImplementedError + array_offsets = _combine_list_array_offsets_with_mask(array) + return pa.LargeListArray.from_arrays(array_offsets, _e(array.values, feature.feature)) + elif pa.types.is_fixed_size_list(array.type): + # feature must be Sequence(subfeature) + if isinstance(feature, Sequence) and feature.length > -1: + array_values = array.values[ + array.offset * array.type.list_size : (array.offset + len(array)) * array.type.list_size + ] + embedded_array_values = _e(array_values, feature.feature) + return pa.FixedSizeListArray.from_arrays(embedded_array_values, feature.length, mask=array.is_null()) + if not isinstance(feature, (Sequence, dict, list, tuple)): + return array + raise TypeError(f"Couldn't embed array of type\n{_short_str(array.type)}\nwith\n{_short_str(feature)}") + + +class CastError(ValueError): + """When it's not possible to cast an Arrow table to a specific schema or set of features""" + + def __init__(self, *args, table_column_names: list[str], requested_column_names: list[str]) -> None: + super().__init__(*args) + self.table_column_names = table_column_names + self.requested_column_names = requested_column_names + + def __reduce__(self): + # Fix unpickling: TypeError: __init__() missing 2 required keyword-only arguments: 'table_column_names' and 'requested_column_names' + return partial( + CastError, table_column_names=self.table_column_names, requested_column_names=self.requested_column_names + ), () + + def details(self): + new_columns = set(self.table_column_names) - set(self.requested_column_names) + missing_columns = set(self.requested_column_names) - set(self.table_column_names) + if new_columns and missing_columns: + return f"there are {len(new_columns)} new columns ({_short_str(new_columns)}) and {len(missing_columns)} missing columns ({_short_str(missing_columns)})." + elif new_columns: + return f"there are {len(new_columns)} new columns ({_short_str(new_columns)})" + else: + return f"there are {len(missing_columns)} missing columns ({_short_str(missing_columns)})" + + +def cast_table_to_features(table: pa.Table, features: "Features"): + """Cast a table to the arrow schema that corresponds to the requested features. + + Args: + table (`pyarrow.Table`): + PyArrow table to cast. + features ([`Features`]): + Target features. + + Returns: + table (`pyarrow.Table`): the casted table + """ + if sorted(table.column_names) != sorted(features): + raise CastError( + f"Couldn't cast\n{_short_str(table.schema)}\nto\n{_short_str(features)}\nbecause column names don't match", + table_column_names=table.column_names, + requested_column_names=list(features), + ) + arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] + return pa.Table.from_arrays(arrays, schema=features.arrow_schema) + + +def cast_table_to_schema(table: pa.Table, schema: pa.Schema): + """Cast a table to the arrow schema. Different from `cast_table_to_features`, this method can preserve nullability. + + Args: + table (`pa.Table`): + PyArrow table to cast. + features ([`Features`]): + Target features. + + Returns: + `pa.Table`: the casted table + """ + from .features import Features + + features = Features.from_arrow_schema(schema) + table_column_names = set(table.column_names) + if not table_column_names <= set(schema.names): + raise CastError( + f"Couldn't cast\n{_short_str(table.schema)}\nto\n{_short_str(features)}\nbecause column names don't match", + table_column_names=table.column_names, + requested_column_names=list(features), + ) + arrays = [ + cast_array_to_feature( + table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type), + feature, + ) + for name, feature in features.items() + ] + return pa.Table.from_arrays(arrays, schema=schema) + + +def embed_table_storage(table: pa.Table): + """Embed external data into a table's storage. + + + + Args: + table (`pyarrow.Table`): + PyArrow table in which to embed data. + + Returns: + table (`pyarrow.Table`): the table with embedded data + """ + from .features.features import Features, require_storage_embed + + features = Features.from_arrow_schema(table.schema) + arrays = [ + embed_array_storage(table[name], feature) if require_storage_embed(feature) else table[name] + for name, feature in features.items() + ] + return pa.Table.from_arrays(arrays, schema=features.arrow_schema) + + +def table_cast(table: pa.Table, schema: pa.Schema): + """Improved version of `pa.Table.cast`. + + It supports casting to feature types stored in the schema metadata. + + Args: + table (`pyarrow.Table`): + PyArrow table to cast. + schema (`pyarrow.Schema`): + Target PyArrow schema. + + Returns: + table (`pyarrow.Table`): the casted table + """ + if table.schema != schema: + return cast_table_to_schema(table, schema) + elif table.schema.metadata != schema.metadata: + return table.replace_schema_metadata(schema.metadata) + else: + return table + + +def table_flatten(table: pa.Table): + """Improved version of `pa.Table.flatten`. + + It behaves as `pa.Table.flatten` in a sense it does 1-step flatten of the columns with a struct type into one column per struct field, + but updates the metadata and skips decodable features unless the `decode` attribute of these features is set to False. + + Args: + table (`pa.Table`): + PyArrow table to flatten. + + Returns: + `Table`: the flattened table + """ + from .features import Features + + features = Features.from_arrow_schema(table.schema) + if any(hasattr(subfeature, "flatten") and subfeature.flatten() == subfeature for subfeature in features.values()): + flat_arrays = [] + flat_column_names = [] + for field in table.schema: + array = table.column(field.name) + subfeature = features[field.name] + if pa.types.is_struct(field.type) and ( + not hasattr(subfeature, "flatten") or subfeature.flatten() != subfeature + ): + flat_arrays.extend(array.flatten()) + flat_column_names.extend([f"{field.name}.{subfield.name}" for subfield in field.type]) + else: + flat_arrays.append(array) + flat_column_names.append(field.name) + flat_table = pa.Table.from_arrays( + flat_arrays, + names=flat_column_names, + ) + else: + flat_table = table.flatten() + # Preserve complex types in the metadata + flat_features = features.flatten(max_depth=2) + flat_features = Features({column_name: flat_features[column_name] for column_name in flat_table.column_names}) + return flat_table.replace_schema_metadata(flat_features.arrow_schema.metadata) + + +def table_visitor(table: pa.Table, function: Callable[[pa.Array], None]): + """Visit all arrays in a table and apply a function to them. + + Args: + table (`pyarrow.Table`): + PyArrow table to visit. + function (`Callable[[pa.Array], None]`): + Function to apply to each array. + """ + from .features import Features, Sequence + + features = Features.from_arrow_schema(table.schema) + + def _visit(array, feature): + if isinstance(array, pa.ChunkedArray): + for chunk in array.chunks: + _visit(chunk, feature) + else: + if isinstance(array, pa.ExtensionArray): + array = array.storage + function(array, feature) + if pa.types.is_struct(array.type) and not hasattr(feature, "cast_storage"): + if isinstance(feature, Sequence) and isinstance(feature.feature, dict): + feature = { + name: Sequence(subfeature, length=feature.length) + for name, subfeature in feature.feature.items() + } + for name, subfeature in feature.items(): + _visit(array.field(name), subfeature) + elif pa.types.is_list(array.type): + if isinstance(feature, list): + _visit(array.values, feature[0]) + elif isinstance(feature, Sequence): + _visit(array.values, feature.feature) + + for name, feature in features.items(): + _visit(table[name], feature) + + +def table_iter(table: Table, batch_size: int, drop_last_batch=False) -> Iterator[pa.Table]: + """Iterate over sub-tables of size `batch_size`. + + Args: + table (`pyarrow.Table`): + PyArrow table to iterate over. + batch_size (`int`): + Size of each sub-table to yield. + drop_last_batch (`bool`, defaults to `False`): + Drop the last batch if it is smaller than `batch_size`. + """ + chunks_buffer = [] + chunks_buffer_size = 0 + for chunk in table.to_reader(max_chunksize=batch_size): + if len(chunk) == 0: + continue + elif chunks_buffer_size + len(chunk) < batch_size: + chunks_buffer.append(chunk) + chunks_buffer_size += len(chunk) + continue + elif chunks_buffer_size + len(chunk) == batch_size: + chunks_buffer.append(chunk) + yield pa.Table.from_batches(chunks_buffer) + chunks_buffer = [] + chunks_buffer_size = 0 + else: + cropped_chunk_length = batch_size - chunks_buffer_size + chunks_buffer.append(chunk.slice(0, cropped_chunk_length)) + yield pa.Table.from_batches(chunks_buffer) + chunks_buffer = [chunk.slice(cropped_chunk_length, len(chunk) - cropped_chunk_length)] + chunks_buffer_size = len(chunk) - cropped_chunk_length + if not drop_last_batch and chunks_buffer: + yield pa.Table.from_batches(chunks_buffer) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..a1c3d2935994956e230a441f3f2d65695ebaaf2d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/__init__.py @@ -0,0 +1,25 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from . import tqdm as _tqdm # _tqdm is the module +from .experimental import experimental +from .info_utils import VerificationMode +from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled +from .tqdm import ( + are_progress_bars_disabled, + disable_progress_bars, + enable_progress_bars, + tqdm, +) +from .version import Version diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/_dataset_viewer.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/_dataset_viewer.py new file mode 100644 index 0000000000000000000000000000000000000000..0f4c298646c5534a93ecfd217b84987b4786cec6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/_dataset_viewer.py @@ -0,0 +1,95 @@ +from typing import Any, Optional, Union + +from huggingface_hub.utils import get_session + +from .. import config +from ..exceptions import DatasetsError +from .file_utils import ( + get_authentication_headers_for_url, +) +from .logging import get_logger + + +logger = get_logger(__name__) + + +class DatasetViewerError(DatasetsError): + """Dataset viewer error. + + Raised when trying to use the dataset viewer HTTP API and when trying to access: + - a missing dataset, or + - a private/gated dataset and the user is not authenticated. + - unavailable /parquet or /info responses + """ + + +def get_exported_parquet_files( + dataset: str, commit_hash: str, token: Optional[Union[str, bool]] +) -> list[dict[str, Any]]: + """ + Get the dataset exported parquet files + Docs: https://huggingface.co/docs/datasets-server/parquet + """ + dataset_viewer_parquet_url = config.HF_ENDPOINT.replace("://", "://datasets-server.") + "/parquet?dataset=" + try: + parquet_data_files_response = get_session().get( + url=dataset_viewer_parquet_url + dataset, + headers=get_authentication_headers_for_url(config.HF_ENDPOINT + f"datasets/{dataset}", token=token), + timeout=100.0, + ) + parquet_data_files_response.raise_for_status() + if "X-Revision" in parquet_data_files_response.headers: + if parquet_data_files_response.headers["X-Revision"] == commit_hash or commit_hash is None: + parquet_data_files_response_json = parquet_data_files_response.json() + if ( + parquet_data_files_response_json.get("partial") is False + and not parquet_data_files_response_json.get("pending", True) + and not parquet_data_files_response_json.get("failed", True) + and "parquet_files" in parquet_data_files_response_json + ): + return parquet_data_files_response_json["parquet_files"] + else: + logger.debug(f"Parquet export for {dataset} is not completely ready yet.") + else: + logger.debug( + f"Parquet export for {dataset} is available but outdated (commit_hash='{parquet_data_files_response.headers['X-Revision']}')" + ) + except Exception as e: # noqa catch any exception of the dataset viewer API and consider the parquet export doesn't exist + logger.debug(f"No parquet export for {dataset} available ({type(e).__name__}: {e})") + raise DatasetViewerError("No exported Parquet files available.") + + +def get_exported_dataset_infos( + dataset: str, commit_hash: str, token: Optional[Union[str, bool]] +) -> dict[str, dict[str, Any]]: + """ + Get the dataset information, can be useful to get e.g. the dataset features. + Docs: https://huggingface.co/docs/datasets-server/info + """ + dataset_viewer_info_url = config.HF_ENDPOINT.replace("://", "://datasets-server.") + "/info?dataset=" + try: + info_response = get_session().get( + url=dataset_viewer_info_url + dataset, + headers=get_authentication_headers_for_url(config.HF_ENDPOINT + f"datasets/{dataset}", token=token), + timeout=100.0, + ) + info_response.raise_for_status() + if "X-Revision" in info_response.headers: + if info_response.headers["X-Revision"] == commit_hash or commit_hash is None: + info_response = info_response.json() + if ( + info_response.get("partial") is False + and not info_response.get("pending", True) + and not info_response.get("failed", True) + and "dataset_info" in info_response + ): + return info_response["dataset_info"] + else: + logger.debug(f"Dataset info for {dataset} is not completely ready yet.") + else: + logger.debug( + f"Dataset info for {dataset} is available but outdated (commit_hash='{info_response.headers['X-Revision']}')" + ) + except Exception as e: # noqa catch any exception of the dataset viewer API and consider the dataset info doesn't exist + logger.debug(f"No dataset info for {dataset} available ({type(e).__name__}: {e})") + raise DatasetViewerError("No exported dataset infos available.") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/_dill.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/_dill.py new file mode 100644 index 0000000000000000000000000000000000000000..2a414459266809933b9e63f1195b4c86cb7ea44b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/_dill.py @@ -0,0 +1,465 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Extends `dill` to support pickling more types and produce more consistent dumps.""" + +import os +import sys +from io import BytesIO +from types import CodeType, FunctionType + +import dill +from packaging import version + +from .. import config + + +class Pickler(dill.Pickler): + dispatch = dill._dill.MetaCatchingDict(dill.Pickler.dispatch.copy()) + _legacy_no_dict_keys_sorting = False + + def save(self, obj, save_persistent_id=True): + obj_type = type(obj) + if obj_type not in self.dispatch: + if "regex" in sys.modules: + import regex # type: ignore + + if obj_type is regex.Pattern: + pklregister(obj_type)(_save_regexPattern) + if "spacy" in sys.modules: + import spacy # type: ignore + + if issubclass(obj_type, spacy.Language): + pklregister(obj_type)(_save_spacyLanguage) + if "tiktoken" in sys.modules: + import tiktoken # type: ignore + + if obj_type is tiktoken.Encoding: + pklregister(obj_type)(_save_tiktokenEncoding) + if "torch" in sys.modules: + import torch # type: ignore + + if issubclass(obj_type, torch.Tensor): + pklregister(obj_type)(_save_torchTensor) + + if obj_type is torch.Generator: + pklregister(obj_type)(_save_torchGenerator) + + # Unwrap `torch.compile`-ed modules + if issubclass(obj_type, torch.nn.Module): + obj = getattr(obj, "_orig_mod", obj) + if "transformers" in sys.modules: + import transformers # type: ignore + + if issubclass(obj_type, transformers.PreTrainedTokenizerBase): + pklregister(obj_type)(_save_transformersPreTrainedTokenizerBase) + + # Unwrap `torch.compile`-ed functions + if obj_type is FunctionType: + obj = getattr(obj, "_torchdynamo_orig_callable", obj) + dill.Pickler.save(self, obj, save_persistent_id=save_persistent_id) + + def _batch_setitems(self, items): + if self._legacy_no_dict_keys_sorting: + return super()._batch_setitems(items) + # Ignore the order of keys in a dict + try: + # Faster, but fails for unorderable elements + items = sorted(items) + except Exception: # TypeError, decimal.InvalidOperation, etc. + from datasets.fingerprint import Hasher + + items = sorted(items, key=lambda x: Hasher.hash(x[0])) + dill.Pickler._batch_setitems(self, items) + + def memoize(self, obj): + # Don't memoize strings since two identical strings can have different Python ids + if type(obj) is not str: # noqa: E721 + dill.Pickler.memoize(self, obj) + + +def pklregister(t): + """Register a custom reducer for the type.""" + + def proxy(func): + Pickler.dispatch[t] = func + return func + + return proxy + + +def dump(obj, file): + """Pickle an object to a file.""" + Pickler(file, recurse=True).dump(obj) + + +def dumps(obj): + """Pickle an object to a string.""" + file = BytesIO() + dump(obj, file) + return file.getvalue() + + +if config.DILL_VERSION < version.parse("0.3.6"): + + def log(pickler, msg): + dill._dill.log.info(msg) + +elif config.DILL_VERSION.release[:3] in [ + version.parse("0.3.6").release, + version.parse("0.3.7").release, + version.parse("0.3.8").release, +]: + + def log(pickler, msg): + dill._dill.logger.trace(pickler, msg) + + +@pklregister(set) +def _save_set(pickler, obj): + log(pickler, f"Se: {obj}") + try: + # Faster, but fails for unorderable elements + args = (sorted(obj),) + except Exception: # TypeError, decimal.InvalidOperation, etc. + from datasets.fingerprint import Hasher + + args = (sorted(obj, key=Hasher.hash),) + + pickler.save_reduce(set, args, obj=obj) + log(pickler, "# Se") + + +def _save_regexPattern(pickler, obj): + import regex # type: ignore + + log(pickler, f"Re: {obj}") + args = (obj.pattern, obj.flags) + pickler.save_reduce(regex.compile, args, obj=obj) + log(pickler, "# Re") + + +def _save_tiktokenEncoding(pickler, obj): + import tiktoken # type: ignore + + log(pickler, f"Enc: {obj}") + args = (obj.name, obj._pat_str, obj._mergeable_ranks, obj._special_tokens) + pickler.save_reduce(tiktoken.Encoding, args, obj=obj) + log(pickler, "# Enc") + + +def _save_torchTensor(pickler, obj): + import torch # type: ignore + + # `torch.from_numpy` is not picklable in `torch>=1.11.0` + def create_torchTensor(np_array, dtype=None): + tensor = torch.from_numpy(np_array) + if dtype: + tensor = tensor.type(dtype) + return tensor + + log(pickler, f"To: {obj}") + if obj.dtype == torch.bfloat16: + args = (obj.detach().to(torch.float).cpu().numpy(), torch.bfloat16) + else: + args = (obj.detach().cpu().numpy(),) + pickler.save_reduce(create_torchTensor, args, obj=obj) + log(pickler, "# To") + + +def _save_torchGenerator(pickler, obj): + import torch # type: ignore + + def create_torchGenerator(state): + generator = torch.Generator() + generator.set_state(state) + return generator + + log(pickler, f"Ge: {obj}") + args = (obj.get_state(),) + pickler.save_reduce(create_torchGenerator, args, obj=obj) + log(pickler, "# Ge") + + +def _save_spacyLanguage(pickler, obj): + import spacy # type: ignore + + def create_spacyLanguage(config, bytes): + lang_cls = spacy.util.get_lang_class(config["nlp"]["lang"]) + lang_inst = lang_cls.from_config(config) + return lang_inst.from_bytes(bytes) + + log(pickler, f"Sp: {obj}") + args = (obj.config, obj.to_bytes()) + pickler.save_reduce(create_spacyLanguage, args, obj=obj) + log(pickler, "# Sp") + + +def _save_transformersPreTrainedTokenizerBase(pickler, obj): + log(pickler, f"Tok: {obj}") + # Ignore the `cache` attribute + state = obj.__dict__ + if "cache" in state and isinstance(state["cache"], dict): + state["cache"] = {} + pickler.save_reduce(type(obj), (), state=state, obj=obj) + log(pickler, "# Tok") + + +if config.DILL_VERSION < version.parse("0.3.6"): + + @pklregister(CodeType) + def _save_code(pickler, obj): + """ + From dill._dill.save_code + This is a modified version that removes the origin (filename + line no.) + of functions created in notebooks or shells for example. + """ + dill._dill.log.info(f"Co: {obj}") + # The filename of a function is the .py file where it is defined. + # Filenames of functions created in notebooks or shells start with '<' + # ex: for ipython, and for shell + # Filenames of functions created in ipykernel the filename + # look like f"{tempdir}/ipykernel_{id1}/{id2}.py" + # Moreover lambda functions have a special name: '' + # ex: (lambda x: x).__code__.co_name == "" # True + # + # For the hashing mechanism we ignore where the function has been defined + # More specifically: + # - we ignore the filename of special functions (filename starts with '<') + # - we always ignore the line number + # - we only use the base name of the file instead of the whole path, + # to be robust in case a script is moved for example. + # + # Only those two lines are different from the original implementation: + co_filename = ( + "" + if obj.co_filename.startswith("<") + or ( + len(obj.co_filename.split(os.path.sep)) > 1 + and obj.co_filename.split(os.path.sep)[-2].startswith("ipykernel_") + ) + or obj.co_name == "" + else os.path.basename(obj.co_filename) + ) + co_firstlineno = 1 + # The rest is the same as in the original dill implementation + if dill._dill.PY3: + if hasattr(obj, "co_posonlyargcount"): + args = ( + obj.co_argcount, + obj.co_posonlyargcount, + obj.co_kwonlyargcount, + obj.co_nlocals, + obj.co_stacksize, + obj.co_flags, + obj.co_code, + obj.co_consts, + obj.co_names, + obj.co_varnames, + co_filename, + obj.co_name, + co_firstlineno, + obj.co_lnotab, + obj.co_freevars, + obj.co_cellvars, + ) + else: + args = ( + obj.co_argcount, + obj.co_kwonlyargcount, + obj.co_nlocals, + obj.co_stacksize, + obj.co_flags, + obj.co_code, + obj.co_consts, + obj.co_names, + obj.co_varnames, + co_filename, + obj.co_name, + co_firstlineno, + obj.co_lnotab, + obj.co_freevars, + obj.co_cellvars, + ) + else: + args = ( + obj.co_argcount, + obj.co_nlocals, + obj.co_stacksize, + obj.co_flags, + obj.co_code, + obj.co_consts, + obj.co_names, + obj.co_varnames, + co_filename, + obj.co_name, + co_firstlineno, + obj.co_lnotab, + obj.co_freevars, + obj.co_cellvars, + ) + pickler.save_reduce(CodeType, args, obj=obj) + dill._dill.log.info("# Co") + return + +elif config.DILL_VERSION.release[:3] in [ + version.parse("0.3.6").release, + version.parse("0.3.7").release, + version.parse("0.3.8").release, +]: + # From: https://github.com/uqfoundation/dill/blob/dill-0.3.6/dill/_dill.py#L1104 + @pklregister(CodeType) + def save_code(pickler, obj): + dill._dill.logger.trace(pickler, "Co: %s", obj) + + ############################################################################################################ + # Modification here for huggingface/datasets + # The filename of a function is the .py file where it is defined. + # Filenames of functions created in notebooks or shells start with '<' + # ex: for ipython, and for shell + # Filenames of functions created in ipykernel the filename + # look like f"{tempdir}/ipykernel_{id1}/{id2}.py" + # Moreover lambda functions have a special name: '' + # ex: (lambda x: x).__code__.co_name == "" # True + # + # For the hashing mechanism we ignore where the function has been defined + # More specifically: + # - we ignore the filename of special functions (filename starts with '<') + # - we always ignore the line number + # - we only use the base name of the file instead of the whole path, + # to be robust in case a script is moved for example. + # + # Only those two lines are different from the original implementation: + co_filename = ( + "" + if obj.co_filename.startswith("<") + or ( + len(obj.co_filename.split(os.path.sep)) > 1 + and obj.co_filename.split(os.path.sep)[-2].startswith("ipykernel_") + ) + or obj.co_name == "" + else os.path.basename(obj.co_filename) + ) + co_firstlineno = 1 + # The rest is the same as in the original dill implementation, except for the replacements: + # - obj.co_filename => co_filename + # - obj.co_firstlineno => co_firstlineno + ############################################################################################################ + + if hasattr(obj, "co_endlinetable"): # python 3.11a (20 args) + args = ( + obj.co_lnotab, # for < python 3.10 [not counted in args] + obj.co_argcount, + obj.co_posonlyargcount, + obj.co_kwonlyargcount, + obj.co_nlocals, + obj.co_stacksize, + obj.co_flags, + obj.co_code, + obj.co_consts, + obj.co_names, + obj.co_varnames, + co_filename, # Modification for huggingface/datasets ############################################ + obj.co_name, + obj.co_qualname, + co_firstlineno, # Modification for huggingface/datasets ######################################### + obj.co_linetable, + obj.co_endlinetable, + obj.co_columntable, + obj.co_exceptiontable, + obj.co_freevars, + obj.co_cellvars, + ) + elif hasattr(obj, "co_exceptiontable"): # python 3.11 (18 args) + args = ( + obj.co_lnotab, # for < python 3.10 [not counted in args] + obj.co_argcount, + obj.co_posonlyargcount, + obj.co_kwonlyargcount, + obj.co_nlocals, + obj.co_stacksize, + obj.co_flags, + obj.co_code, + obj.co_consts, + obj.co_names, + obj.co_varnames, + co_filename, # Modification for huggingface/datasets ############################################ + obj.co_name, + obj.co_qualname, + co_firstlineno, # Modification for huggingface/datasets ######################################### + obj.co_linetable, + obj.co_exceptiontable, + obj.co_freevars, + obj.co_cellvars, + ) + elif hasattr(obj, "co_linetable"): # python 3.10 (16 args) + args = ( + obj.co_lnotab, # for < python 3.10 [not counted in args] + obj.co_argcount, + obj.co_posonlyargcount, + obj.co_kwonlyargcount, + obj.co_nlocals, + obj.co_stacksize, + obj.co_flags, + obj.co_code, + obj.co_consts, + obj.co_names, + obj.co_varnames, + co_filename, # Modification for huggingface/datasets ############################################ + obj.co_name, + co_firstlineno, # Modification for huggingface/datasets ######################################### + obj.co_linetable, + obj.co_freevars, + obj.co_cellvars, + ) + elif hasattr(obj, "co_posonlyargcount"): # python 3.8 (16 args) + args = ( + obj.co_argcount, + obj.co_posonlyargcount, + obj.co_kwonlyargcount, + obj.co_nlocals, + obj.co_stacksize, + obj.co_flags, + obj.co_code, + obj.co_consts, + obj.co_names, + obj.co_varnames, + co_filename, # Modification for huggingface/datasets ############################################ + obj.co_name, + co_firstlineno, # Modification for huggingface/datasets ######################################### + obj.co_lnotab, + obj.co_freevars, + obj.co_cellvars, + ) + else: # python 3.7 (15 args) + args = ( + obj.co_argcount, + obj.co_kwonlyargcount, + obj.co_nlocals, + obj.co_stacksize, + obj.co_flags, + obj.co_code, + obj.co_consts, + obj.co_names, + obj.co_varnames, + co_filename, # Modification for huggingface/datasets ############################################ + obj.co_name, + co_firstlineno, # Modification for huggingface/datasets ######################################### + obj.co_lnotab, + obj.co_freevars, + obj.co_cellvars, + ) + + pickler.save_reduce(dill._dill._create_code, args, obj=obj) + dill._dill.logger.trace(pickler, "# Co") + return diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/_filelock.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/_filelock.py new file mode 100644 index 0000000000000000000000000000000000000000..803ce77f5a4168ac9023e1d4a4548db2bd154126 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/_filelock.py @@ -0,0 +1,58 @@ +#!/usr/bin/env python +# Copyright 2023 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License +"""Utilities to handle file locking in `datasets`.""" + +import os + +from filelock import FileLock as FileLock_ +from filelock import UnixFileLock +from filelock import __version__ as _filelock_version +from packaging import version + + +class FileLock(FileLock_): + """ + A `filelock.FileLock` initializer that handles long paths. + It also uses the current umask for lock files. + """ + + MAX_FILENAME_LENGTH = 255 + + def __init__(self, lock_file, *args, **kwargs): + # The "mode" argument is required if we want to use the current umask in filelock >= 3.10 + # In previous previous it was already using the current umask. + if "mode" not in kwargs and version.parse(_filelock_version) >= version.parse("3.10.0"): + umask = os.umask(0o666) + os.umask(umask) + kwargs["mode"] = 0o666 & ~umask + lock_file = self.hash_filename_if_too_long(lock_file) + super().__init__(lock_file, *args, **kwargs) + + @classmethod + def hash_filename_if_too_long(cls, path: str) -> str: + path = os.path.abspath(os.path.expanduser(path)) + filename = os.path.basename(path) + max_filename_length = cls.MAX_FILENAME_LENGTH + if issubclass(cls, UnixFileLock): + max_filename_length = min(max_filename_length, os.statvfs(os.path.dirname(path)).f_namemax) + if len(filename) > max_filename_length: + dirname = os.path.dirname(path) + hashed_filename = str(hash(filename)) + new_filename = ( + filename[: max_filename_length - len(hashed_filename) - 8] + "..." + hashed_filename + ".lock" + ) + return os.path.join(dirname, new_filename) + else: + return path diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/deprecation_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/deprecation_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..f05ecbeaa3eae5476e99c461dbede9ebfa111eb0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/deprecation_utils.py @@ -0,0 +1,105 @@ +import enum +import inspect +import warnings +from functools import wraps +from typing import Callable, Optional + +from .logging import get_logger + + +_emitted_deprecation_warnings = set() +logger = get_logger(__name__) + + +def deprecated(help_message: Optional[str] = None): + """Decorator to mark a class or a function as deprecated. + + Args: + help_message (:obj:`str`, optional): An optional message to guide the user on how to + switch to non-deprecated usage of the library. + """ + + def decorator(deprecated_class_or_function: Callable): + global _emitted_deprecation_warnings + + if inspect.isclass(deprecated_class_or_function): + deprecated_function = deprecated_class_or_function.__init__ + name = deprecated_class_or_function.__name__ + else: + deprecated_function = deprecated_class_or_function + name = deprecated_function.__name__ + # Support deprecating __init__ class method: class name instead + name = name if name != "__init__" else deprecated_function.__qualname__.split(".")[-2] + + warning_msg = ( + f"{name} is deprecated and will be removed in the next major version of datasets." + f" {help_message}" + if help_message + else "" + ) + + @wraps(deprecated_function) + def wrapper(*args, **kwargs): + func_hash = hash(deprecated_function) + if func_hash not in _emitted_deprecation_warnings: + warnings.warn(warning_msg, category=FutureWarning, stacklevel=2) + _emitted_deprecation_warnings.add(func_hash) + return deprecated_function(*args, **kwargs) + + wrapper._decorator_name_ = "deprecated" + + if inspect.isclass(deprecated_class_or_function): + deprecated_class_or_function.__init__ = wrapper + return deprecated_class_or_function + else: + return wrapper + + return decorator + + +class OnAccess(enum.EnumMeta): + """ + Enum metaclass that calls a user-specified function whenever a member is accessed. + """ + + def __getattribute__(cls, name): + obj = super().__getattribute__(name) + if isinstance(obj, enum.Enum) and obj._on_access: + obj._on_access() + return obj + + def __getitem__(cls, name): + member = super().__getitem__(name) + if member._on_access: + member._on_access() + return member + + def __call__(cls, value, names=None, *, module=None, qualname=None, type=None, start=1): + obj = super().__call__(value, names, module=module, qualname=qualname, type=type, start=start) + if isinstance(obj, enum.Enum) and obj._on_access: + obj._on_access() + return obj + + +class DeprecatedEnum(enum.Enum, metaclass=OnAccess): + """ + Enum class that calls `deprecate` method whenever a member is accessed. + """ + + def __new__(cls, value): + member = object.__new__(cls) + member._value_ = value + member._on_access = member.deprecate + return member + + @property + def help_message(self): + return "" + + def deprecate(self): + help_message = f" {self.help_message}" if self.help_message else "" + warnings.warn( + f"'{self.__objclass__.__name__}' is deprecated and will be removed in the next major version of datasets." + + help_message, + FutureWarning, + stacklevel=3, + ) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/doc_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/doc_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..6ef8bcb4e70725ad086cb817e0ec4551d1c0966e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/doc_utils.py @@ -0,0 +1,15 @@ +from typing import Callable + + +def is_documented_by(function_with_docstring: Callable): + """Decorator to share docstrings across common functions. + + Args: + function_with_docstring (`Callable`): Name of the function with the docstring. + """ + + def wrapper(target_function): + target_function.__doc__ = function_with_docstring.__doc__ + return target_function + + return wrapper diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/experimental.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/experimental.py new file mode 100644 index 0000000000000000000000000000000000000000..cc406154e9347f4df83b1f7b08c32a961d469f6a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/experimental.py @@ -0,0 +1,43 @@ +"""Contains utilities to flag a feature as "experimental" in datasets.""" + +import warnings +from functools import wraps +from typing import Callable + + +def experimental(fn: Callable) -> Callable: + """Decorator to flag a feature as experimental. + + An experimental feature trigger a warning when used as it might be subject to breaking changes in the future. + + Args: + fn (`Callable`): + The function to flag as experimental. + + Returns: + `Callable`: The decorated function. + + Example: + + ```python + >>> from datasets.utils import experimental + + >>> @experimental + ... def my_function(): + ... print("Hello world!") + + >>> my_function() + UserWarning: 'my_function' is experimental and might be subject to breaking changes in the future. + Hello world! + ``` + """ + + @wraps(fn) + def _inner_fn(*args, **kwargs): + warnings.warn( + (f"'{fn.__name__}' is experimental and might be subject to breaking changes in the future."), + UserWarning, + ) + return fn(*args, **kwargs) + + return _inner_fn diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/extract.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/extract.py new file mode 100644 index 0000000000000000000000000000000000000000..1e87c617217b2b93fd6273804c2ba553ce42eb68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/extract.py @@ -0,0 +1,332 @@ +import bz2 +import gzip +import lzma +import os +import shutil +import struct +import tarfile +import warnings +import zipfile +from abc import ABC, abstractmethod +from pathlib import Path +from typing import Optional, Union + +from .. import config +from ._filelock import FileLock +from .logging import get_logger + + +logger = get_logger(__name__) + + +class ExtractManager: + def __init__(self, cache_dir: Optional[str] = None): + self.extract_dir = ( + os.path.join(cache_dir, config.EXTRACTED_DATASETS_DIR) if cache_dir else config.EXTRACTED_DATASETS_PATH + ) + self.extractor = Extractor + + def _get_output_path(self, path: str) -> str: + from .file_utils import hash_url_to_filename + + # Path where we extract compressed archives + # We extract in the cache dir, and get the extracted path name by hashing the original path" + abs_path = os.path.abspath(path) + return os.path.join(self.extract_dir, hash_url_to_filename(abs_path)) + + def _do_extract(self, output_path: str, force_extract: bool) -> bool: + return force_extract or ( + not os.path.isfile(output_path) and not (os.path.isdir(output_path) and os.listdir(output_path)) + ) + + def extract(self, input_path: str, force_extract: bool = False) -> str: + extractor_format = self.extractor.infer_extractor_format(input_path) + if not extractor_format: + return input_path + output_path = self._get_output_path(input_path) + if self._do_extract(output_path, force_extract): + self.extractor.extract(input_path, output_path, extractor_format) + return output_path + + +class BaseExtractor(ABC): + @classmethod + @abstractmethod + def is_extractable(cls, path: Union[Path, str], **kwargs) -> bool: ... + + @staticmethod + @abstractmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: ... + + +class MagicNumberBaseExtractor(BaseExtractor, ABC): + magic_numbers: list[bytes] = [] + + @staticmethod + def read_magic_number(path: Union[Path, str], magic_number_length: int): + with open(path, "rb") as f: + return f.read(magic_number_length) + + @classmethod + def is_extractable(cls, path: Union[Path, str], magic_number: bytes = b"") -> bool: + if not magic_number: + magic_number_length = max(len(cls_magic_number) for cls_magic_number in cls.magic_numbers) + try: + magic_number = cls.read_magic_number(path, magic_number_length) + except OSError: + return False + return any(magic_number.startswith(cls_magic_number) for cls_magic_number in cls.magic_numbers) + + +class TarExtractor(BaseExtractor): + @classmethod + def is_extractable(cls, path: Union[Path, str], **kwargs) -> bool: + return tarfile.is_tarfile(path) + + @staticmethod + def safemembers(members, output_path): + """ + Fix for CVE-2007-4559 + Desc: + Directory traversal vulnerability in the (1) extract and (2) extractall functions in the tarfile + module in Python allows user-assisted remote attackers to overwrite arbitrary files via a .. (dot dot) + sequence in filenames in a TAR archive, a related issue to CVE-2001-1267. + See: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2007-4559 + From: https://stackoverflow.com/a/10077309 + """ + + def resolved(path: str) -> str: + return os.path.realpath(os.path.abspath(path)) + + def badpath(path: str, base: str) -> bool: + # joinpath will ignore base if path is absolute + return not resolved(os.path.join(base, path)).startswith(base) + + def badlink(info, base: str) -> bool: + # Links are interpreted relative to the directory containing the link + tip = resolved(os.path.join(base, os.path.dirname(info.name))) + return badpath(info.linkname, base=tip) + + base = resolved(output_path) + + for finfo in members: + if badpath(finfo.name, base): + logger.error(f"Extraction of {finfo.name} is blocked (illegal path)") + elif finfo.issym() and badlink(finfo, base): + logger.error(f"Extraction of {finfo.name} is blocked: Symlink to {finfo.linkname}") + elif finfo.islnk() and badlink(finfo, base): + logger.error(f"Extraction of {finfo.name} is blocked: Hard link to {finfo.linkname}") + else: + yield finfo + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + os.makedirs(output_path, exist_ok=True) + tar_file = tarfile.open(input_path) + tar_file.extractall(output_path, members=TarExtractor.safemembers(tar_file, output_path)) + tar_file.close() + + +class GzipExtractor(MagicNumberBaseExtractor): + magic_numbers = [b"\x1f\x8b"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + with gzip.open(input_path, "rb") as gzip_file: + with open(output_path, "wb") as extracted_file: + shutil.copyfileobj(gzip_file, extracted_file) + + +class ZipExtractor(MagicNumberBaseExtractor): + magic_numbers = [ + b"PK\x03\x04", + b"PK\x05\x06", # empty archive + b"PK\x07\x08", # spanned archive + ] + + @classmethod + def is_extractable(cls, path: Union[Path, str], magic_number: bytes = b"") -> bool: + if super().is_extractable(path, magic_number=magic_number): + return True + try: + # Alternative version of zipfile.is_zipfile that has less false positives, but misses executable zip archives. + # From: https://github.com/python/cpython/pull/5053 + from zipfile import ( + _CD_SIGNATURE, + _ECD_DISK_NUMBER, + _ECD_DISK_START, + _ECD_ENTRIES_TOTAL, + _ECD_OFFSET, + _ECD_SIZE, + _EndRecData, + sizeCentralDir, + stringCentralDir, + structCentralDir, + ) + + with open(path, "rb") as fp: + endrec = _EndRecData(fp) + if endrec: + if endrec[_ECD_ENTRIES_TOTAL] == 0 and endrec[_ECD_SIZE] == 0 and endrec[_ECD_OFFSET] == 0: + return True # Empty zipfiles are still zipfiles + elif endrec[_ECD_DISK_NUMBER] == endrec[_ECD_DISK_START]: + fp.seek(endrec[_ECD_OFFSET]) # Central directory is on the same disk + if fp.tell() == endrec[_ECD_OFFSET] and endrec[_ECD_SIZE] >= sizeCentralDir: + data = fp.read(sizeCentralDir) # CD is where we expect it to be + if len(data) == sizeCentralDir: + centdir = struct.unpack(structCentralDir, data) # CD is the right size + if centdir[_CD_SIGNATURE] == stringCentralDir: + return True # First central directory entry has correct magic number + return False + except Exception: # catch all errors in case future python versions change the zipfile internals + return False + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + os.makedirs(output_path, exist_ok=True) + with zipfile.ZipFile(input_path, "r") as zip_file: + zip_file.extractall(output_path) + zip_file.close() + + +class XzExtractor(MagicNumberBaseExtractor): + magic_numbers = [b"\xfd\x37\x7a\x58\x5a\x00"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + with lzma.open(input_path) as compressed_file: + with open(output_path, "wb") as extracted_file: + shutil.copyfileobj(compressed_file, extracted_file) + + +class RarExtractor(MagicNumberBaseExtractor): + magic_numbers = [b"Rar!\x1a\x07\x00", b"Rar!\x1a\x07\x01\x00"] # RAR_ID # RAR5_ID + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + if not config.RARFILE_AVAILABLE: + raise ImportError("Please pip install rarfile") + import rarfile + + os.makedirs(output_path, exist_ok=True) + rf = rarfile.RarFile(input_path) + rf.extractall(output_path) + rf.close() + + +class ZstdExtractor(MagicNumberBaseExtractor): + magic_numbers = [b"\x28\xb5\x2f\xfd"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + if not config.ZSTANDARD_AVAILABLE: + raise ImportError("Please pip install zstandard") + import zstandard as zstd + + dctx = zstd.ZstdDecompressor() + with open(input_path, "rb") as ifh, open(output_path, "wb") as ofh: + dctx.copy_stream(ifh, ofh) + + +class Bzip2Extractor(MagicNumberBaseExtractor): + magic_numbers = [b"\x42\x5a\x68"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + with bz2.open(input_path, "rb") as compressed_file: + with open(output_path, "wb") as extracted_file: + shutil.copyfileobj(compressed_file, extracted_file) + + +class SevenZipExtractor(MagicNumberBaseExtractor): + magic_numbers = [b"\x37\x7a\xbc\xaf\x27\x1c"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + if not config.PY7ZR_AVAILABLE: + raise ImportError("Please pip install py7zr") + import py7zr + + os.makedirs(output_path, exist_ok=True) + with py7zr.SevenZipFile(input_path, "r") as archive: + archive.extractall(output_path) + + +class Lz4Extractor(MagicNumberBaseExtractor): + magic_numbers = [b"\x04\x22\x4d\x18"] + + @staticmethod + def extract(input_path: Union[Path, str], output_path: Union[Path, str]) -> None: + if not config.LZ4_AVAILABLE: + raise ImportError("Please pip install lz4") + import lz4.frame + + with lz4.frame.open(input_path, "rb") as compressed_file: + with open(output_path, "wb") as extracted_file: + shutil.copyfileobj(compressed_file, extracted_file) + + +class Extractor: + # Put zip file to the last, b/c it is possible wrongly detected as zip (I guess it means: as tar or gzip) + extractors: dict[str, type[BaseExtractor]] = { + "tar": TarExtractor, + "gzip": GzipExtractor, + "zip": ZipExtractor, + "xz": XzExtractor, + "rar": RarExtractor, + "zstd": ZstdExtractor, + "bz2": Bzip2Extractor, + "7z": SevenZipExtractor, # + "lz4": Lz4Extractor, # + } + + @classmethod + def _get_magic_number_max_length(cls): + return max( + len(extractor_magic_number) + for extractor in cls.extractors.values() + if issubclass(extractor, MagicNumberBaseExtractor) + for extractor_magic_number in extractor.magic_numbers + ) + + @staticmethod + def _read_magic_number(path: Union[Path, str], magic_number_length: int): + try: + return MagicNumberBaseExtractor.read_magic_number(path, magic_number_length=magic_number_length) + except OSError: + return b"" + + @classmethod + def is_extractable(cls, path: Union[Path, str], return_extractor: bool = False) -> bool: + warnings.warn( + "Method 'is_extractable' was deprecated in version 2.4.0 and will be removed in 3.0.0. " + "Use 'infer_extractor_format' instead.", + category=FutureWarning, + ) + extractor_format = cls.infer_extractor_format(path) + if extractor_format: + return True if not return_extractor else (True, cls.extractors[extractor_format]) + return False if not return_extractor else (False, None) + + @classmethod + def infer_extractor_format(cls, path: Union[Path, str]) -> Optional[str]: # + magic_number_max_length = cls._get_magic_number_max_length() + magic_number = cls._read_magic_number(path, magic_number_max_length) + for extractor_format, extractor in cls.extractors.items(): + if extractor.is_extractable(path, magic_number=magic_number): + return extractor_format + + @classmethod + def extract( + cls, + input_path: Union[Path, str], + output_path: Union[Path, str], + extractor_format: str, + ) -> None: + os.makedirs(os.path.dirname(output_path), exist_ok=True) + # Prevent parallel extractions + lock_path = str(Path(output_path).with_suffix(".lock")) + with FileLock(lock_path): + shutil.rmtree(output_path, ignore_errors=True) + extractor = cls.extractors[extractor_format] + return extractor.extract(input_path, output_path) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/file_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/file_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..462880d8eec928d2f6a3a7820d79123cb6dcb4cb --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/file_utils.py @@ -0,0 +1,1383 @@ +""" +Utilities for working with the local dataset cache. +This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp +Copyright by the AllenNLP authors. +""" + +import asyncio +import glob +import io +import json +import multiprocessing +import os +import posixpath +import re +import shutil +import sys +import tarfile +import time +import xml.dom.minidom +import zipfile +from collections.abc import Generator +from io import BytesIO +from itertools import chain +from pathlib import Path, PurePosixPath +from typing import Any, Optional, TypeVar, Union +from unittest.mock import patch +from urllib.parse import urlparse +from xml.etree import ElementTree as ET + +import fsspec +import huggingface_hub +import huggingface_hub.errors +import requests +from fsspec.core import strip_protocol, url_to_fs +from fsspec.utils import can_be_local +from huggingface_hub.utils import EntryNotFoundError, get_session, insecure_hashlib +from packaging import version + +from .. import __version__, config +from ..download.download_config import DownloadConfig +from ..filesystems import COMPRESSION_FILESYSTEMS +from . import _tqdm, logging +from ._filelock import FileLock +from .extract import ExtractManager +from .track import TrackedIterableFromGenerator + + +try: + from aiohttp.client_exceptions import ClientError as _AiohttpClientError +except ImportError: + # aiohttp is not available; synthesize an exception type + # that will never be raised by any actual code for use in the `except` + # clause only. + class _AiohttpClientError(Exception): + pass + + +logger = logging.get_logger(__name__) # pylint: disable=invalid-name + +INCOMPLETE_SUFFIX = ".incomplete" + +T = TypeVar("T", str, Path) + + +def init_hf_modules(hf_modules_cache: Optional[Union[Path, str]] = None) -> str: + """ + Add hf_modules_cache to the python path. + By default hf_modules_cache='~/.cache/huggingface/modules'. + It can also be set with the environment variable HF_MODULES_CACHE. + This is used to add modules such as `datasets_modules` + """ + hf_modules_cache = hf_modules_cache if hf_modules_cache is not None else config.HF_MODULES_CACHE + hf_modules_cache = str(hf_modules_cache) + if hf_modules_cache not in sys.path: + sys.path.append(hf_modules_cache) + + os.makedirs(hf_modules_cache, exist_ok=True) + if not os.path.exists(os.path.join(hf_modules_cache, "__init__.py")): + with open(os.path.join(hf_modules_cache, "__init__.py"), "w"): + pass + return hf_modules_cache + + +def is_remote_url(url_or_filename: str) -> bool: + return urlparse(url_or_filename).scheme != "" and not os.path.ismount(urlparse(url_or_filename).scheme + ":/") + + +def is_local_path(url_or_filename: str) -> bool: + # On unix the scheme of a local path is empty (for both absolute and relative), + # while on windows the scheme is the drive name (ex: "c") for absolute paths. + # for details on the windows behavior, see https://bugs.python.org/issue42215 + return urlparse(url_or_filename).scheme == "" or os.path.ismount(urlparse(url_or_filename).scheme + ":/") + + +def is_relative_path(url_or_filename: str) -> bool: + return urlparse(url_or_filename).scheme == "" and not os.path.isabs(url_or_filename) + + +def relative_to_absolute_path(path: T) -> T: + """Convert relative path to absolute path.""" + abs_path_str = os.path.abspath(os.path.expanduser(os.path.expandvars(str(path)))) + return Path(abs_path_str) if isinstance(path, Path) else abs_path_str + + +def url_or_path_join(base_name: str, *pathnames: str) -> str: + if is_remote_url(base_name): + return posixpath.join(base_name, *(str(pathname).replace(os.sep, "/").lstrip("/") for pathname in pathnames)) + else: + return Path(base_name, *pathnames).as_posix() + + +def url_or_path_parent(url_or_path: str) -> str: + if is_remote_url(url_or_path): + return url_or_path[: url_or_path.rindex("/")] + else: + return os.path.dirname(url_or_path) + + +def hash_url_to_filename(url, etag=None): + """ + Convert `url` into a hashed filename in a repeatable way. + If `etag` is specified, append its hash to the url's, delimited + by a period. + If the url ends with .h5 (Keras HDF5 weights) adds '.h5' to the name + so that TF 2.0 can identify it as a HDF5 file + (see https://github.com/tensorflow/tensorflow/blob/00fad90125b18b80fe054de1055770cfb8fe4ba3/tensorflow/python/keras/engine/network.py#L1380) + """ + url_bytes = url.encode("utf-8") + url_hash = insecure_hashlib.sha256(url_bytes) + filename = url_hash.hexdigest() + + if etag: + etag_bytes = etag.encode("utf-8") + etag_hash = insecure_hashlib.sha256(etag_bytes) + filename += "." + etag_hash.hexdigest() + + if url.endswith(".py"): + filename += ".py" + + return filename + + +def cached_path( + url_or_filename, + download_config=None, + **download_kwargs, +) -> str: + """ + Given something that might be a URL (or might be a local path), + determine which. If it's a URL, download the file and cache it, and + return the path to the cached file. If it's already a local path, + make sure the file exists and then return the path. + + Return: + Local path (string) + + Raises: + FileNotFoundError: in case of non-recoverable file + (non-existent or no cache on disk) + ConnectionError: in case of unreachable url + and no cache on disk + ValueError: if it couldn't parse the url or filename correctly + requests.exceptions.ConnectionError: in case of internet connection issue + """ + if download_config is None: + download_config = DownloadConfig(**download_kwargs) + + cache_dir = download_config.cache_dir or config.DOWNLOADED_DATASETS_PATH + if isinstance(cache_dir, Path): + cache_dir = str(cache_dir) + if isinstance(url_or_filename, Path): + url_or_filename = str(url_or_filename) + + # Convert fsspec URL in the format "file://local/path" to "local/path" + if can_be_local(url_or_filename): + url_or_filename = strip_protocol(url_or_filename) + + if is_remote_url(url_or_filename): + # URL, so get it from the cache (downloading if necessary) + url_or_filename, storage_options = _prepare_path_and_storage_options( + url_or_filename, download_config=download_config + ) + # Download files from Hugging Face. + # Note: no need to check for https://huggingface.co file URLs since _prepare_path_and_storage_options + # prepares Hugging Face HTTP URLs as hf:// paths already + if url_or_filename.startswith("hf://"): + resolved_path = huggingface_hub.HfFileSystem( + endpoint=config.HF_ENDPOINT, token=download_config.token + ).resolve_path(url_or_filename) + try: + output_path = huggingface_hub.HfApi( + endpoint=config.HF_ENDPOINT, + token=download_config.token, + library_name="datasets", + library_version=__version__, + user_agent=get_datasets_user_agent(download_config.user_agent), + ).hf_hub_download( + repo_id=resolved_path.repo_id, + repo_type=resolved_path.repo_type, + revision=resolved_path.revision, + filename=resolved_path.path_in_repo, + force_download=download_config.force_download, + proxies=download_config.proxies, + ) + except ( + huggingface_hub.utils.RepositoryNotFoundError, + huggingface_hub.utils.EntryNotFoundError, + huggingface_hub.utils.RevisionNotFoundError, + huggingface_hub.utils.GatedRepoError, + ) as e: + raise FileNotFoundError(str(e)) from e + # Download external files + else: + output_path = get_from_cache( + url_or_filename, + cache_dir=cache_dir, + force_download=download_config.force_download, + user_agent=download_config.user_agent, + use_etag=download_config.use_etag, + token=download_config.token, + storage_options=storage_options, + download_desc=download_config.download_desc, + disable_tqdm=download_config.disable_tqdm, + ) + elif os.path.exists(url_or_filename): + # File, and it exists. + output_path = url_or_filename + elif is_local_path(url_or_filename): + # File, but it doesn't exist. + raise FileNotFoundError(f"Local file {url_or_filename} doesn't exist") + else: + # Something unknown + raise ValueError(f"unable to parse {url_or_filename} as a URL or as a local path") + + if output_path is None: + return output_path + + if download_config.extract_compressed_file: + if download_config.extract_on_the_fly: + # Add a compression prefix to the compressed file so that it can be extracted + # as it's being read using xopen. + protocol = _get_extraction_protocol(output_path, download_config=download_config) + extension = _get_path_extension(url_or_filename.split("::")[0]) + if ( + protocol + and extension not in ["tgz", "tar"] + and not url_or_filename.split("::")[0].endswith((".tar.gz", ".tar.bz2", ".tar.xz")) + ): + output_path = relative_to_absolute_path(output_path) + if protocol in SINGLE_FILE_COMPRESSION_PROTOCOLS: + # there is one single file which is the uncompressed file + inner_file = os.path.basename(output_path) + inner_file = inner_file[: inner_file.rindex(".")] if "." in inner_file else inner_file + output_path = f"{protocol}://{inner_file}::{output_path}" + else: + output_path = f"{protocol}://::{output_path}" + return output_path + + # Eager extraction + output_path = ExtractManager(cache_dir=download_config.cache_dir).extract( + output_path, force_extract=download_config.force_extract + ) + return relative_to_absolute_path(output_path) + + +def get_datasets_user_agent(user_agent: Optional[Union[str, dict]] = None) -> str: + ua = f"datasets/{__version__}" + ua += f"; python/{config.PY_VERSION}" + ua += f"; huggingface_hub/{huggingface_hub.__version__}" + ua += f"; pyarrow/{config.PYARROW_VERSION}" + if config.TORCH_AVAILABLE: + ua += f"; torch/{config.TORCH_VERSION}" + if config.TF_AVAILABLE: + ua += f"; tensorflow/{config.TF_VERSION}" + if config.JAX_AVAILABLE: + ua += f"; jax/{config.JAX_VERSION}" + if isinstance(user_agent, dict): + ua += f"; {'; '.join(f'{k}/{v}' for k, v in user_agent.items())}" + elif isinstance(user_agent, str): + ua += "; " + user_agent + return ua + + +def get_authentication_headers_for_url(url: str, token: Optional[Union[str, bool]] = None) -> dict: + """Handle the HF authentication""" + if url.startswith(config.HF_ENDPOINT): + return huggingface_hub.utils.build_hf_headers( + token=token, library_name="datasets", library_version=__version__ + ) + else: + return {} + + +def _raise_if_offline_mode_is_enabled(msg: Optional[str] = None): + """Raise an OfflineModeIsEnabled error (subclass of ConnectionError) if HF_HUB_OFFLINE is True.""" + if config.HF_HUB_OFFLINE: + raise huggingface_hub.errors.OfflineModeIsEnabled( + "Offline mode is enabled." if msg is None else "Offline mode is enabled. " + str(msg) + ) + + +def fsspec_head(url, storage_options=None): + _raise_if_offline_mode_is_enabled(f"Tried to reach {url}") + fs, path = url_to_fs(url, **(storage_options or {})) + return fs.info(path) + + +def stack_multiprocessing_download_progress_bars(): + # Stack downloads progress bars automatically using HF_DATASETS_STACK_MULTIPROCESSING_DOWNLOAD_PROGRESS_BARS=1 + # We use environment variables since the download may happen in a subprocess + return patch.dict(os.environ, {"HF_DATASETS_STACK_MULTIPROCESSING_DOWNLOAD_PROGRESS_BARS": "1"}) + + +class TqdmCallback(fsspec.callbacks.TqdmCallback): + def __init__(self, tqdm_kwargs=None, *args, **kwargs): + if config.FSSPEC_VERSION < version.parse("2024.2.0"): + super().__init__(tqdm_kwargs, *args, **kwargs) + self._tqdm = _tqdm # replace tqdm module by datasets.utils.tqdm module + else: + kwargs["tqdm_cls"] = _tqdm.tqdm + super().__init__(tqdm_kwargs, *args, **kwargs) + + +def fsspec_get(url, temp_file, storage_options=None, desc=None, disable_tqdm=False): + _raise_if_offline_mode_is_enabled(f"Tried to reach {url}") + fs, path = url_to_fs(url, **(storage_options or {})) + callback = TqdmCallback( + tqdm_kwargs={ + "desc": desc or "Downloading", + "unit": "B", + "unit_scale": True, + "position": multiprocessing.current_process()._identity[-1] # contains the ranks of subprocesses + if os.environ.get("HF_DATASETS_STACK_MULTIPROCESSING_DOWNLOAD_PROGRESS_BARS") == "1" + and multiprocessing.current_process()._identity + else None, + "disable": disable_tqdm, + } + ) + fs.get_file(path, temp_file.name, callback=callback) + + +def get_from_cache( + url, + cache_dir=None, + force_download=False, + user_agent=None, + use_etag=True, + token=None, + storage_options=None, + download_desc=None, + disable_tqdm=False, +) -> str: + """ + Given a URL, look for the corresponding file in the local cache. + If it's not there, download it. Then return the path to the cached file. + + Return: + Local path (string) + + Raises: + FileNotFoundError: in case of non-recoverable file + (non-existent or no cache on disk) + ConnectionError: in case of unreachable url + and no cache on disk + """ + if storage_options is None: + storage_options = {} + if cache_dir is None: + cache_dir = config.HF_DATASETS_CACHE + if isinstance(cache_dir, Path): + cache_dir = str(cache_dir) + + os.makedirs(cache_dir, exist_ok=True) + + response = None + etag = None + + # Try a first time to file the file on the local file system without eTag (None) + # if we don't ask for 'force_download' then we spare a request + filename = hash_url_to_filename(url, etag=None) + cache_path = os.path.join(cache_dir, filename) + + if os.path.exists(cache_path) and not force_download and not use_etag: + return cache_path + + # Prepare headers for authentication + headers = get_authentication_headers_for_url(url, token=token) + if user_agent is not None: + headers["user-agent"] = user_agent + + response = fsspec_head(url, storage_options=storage_options) + etag = (response.get("ETag", None) or response.get("etag", None)) if use_etag else None + + # Try a second time + filename = hash_url_to_filename(url, etag) + cache_path = os.path.join(cache_dir, filename) + + if os.path.exists(cache_path) and not force_download: + return cache_path + + # Prevent parallel downloads of the same file with a lock. + lock_path = cache_path + ".lock" + with FileLock(lock_path): + # Retry in case previously locked processes just enter after the precedent process releases the lock + if os.path.exists(cache_path) and not force_download: + return cache_path + + incomplete_path = cache_path + ".incomplete" + + # Download to temporary file, then copy to cache path once finished. + # Otherwise, you get corrupt cache entries if the download gets interrupted. + with open(incomplete_path, "w+b") as temp_file: + logger.info(f"{url} not found in cache or force_download set to True, downloading to {temp_file.name}") + # GET file object + fsspec_get(url, temp_file, storage_options=storage_options, desc=download_desc, disable_tqdm=disable_tqdm) + + logger.info(f"storing {url} in cache at {cache_path}") + shutil.move(temp_file.name, cache_path) + + logger.info(f"creating metadata file for {cache_path}") + meta = {"url": url, "etag": etag} + meta_path = cache_path + ".json" + with open(meta_path, "w", encoding="utf-8") as meta_file: + json.dump(meta, meta_file) + + return cache_path + + +def add_start_docstrings(*docstr): + def docstring_decorator(fn): + fn.__doc__ = "".join(docstr) + "\n\n" + (fn.__doc__ if fn.__doc__ is not None else "") + return fn + + return docstring_decorator + + +def add_end_docstrings(*docstr): + def docstring_decorator(fn): + fn.__doc__ = (fn.__doc__ if fn.__doc__ is not None else "") + "\n\n" + "".join(docstr) + return fn + + return docstring_decorator + + +def estimate_dataset_size(paths): + return sum(path.stat().st_size for path in paths) + + +def readline(f: io.RawIOBase): + # From: https://github.com/python/cpython/blob/d27e2f4d118e7a9909b6a3e5da06c5ff95806a85/Lib/_pyio.py#L525 + res = bytearray() + while True: + b = f.read(1) + if not b: + break + res += b + if res.endswith(b"\n"): + break + return bytes(res) + + +####################### +# Streaming utilities # +####################### + +BASE_KNOWN_EXTENSIONS = [ + "txt", + "csv", + "json", + "jsonl", + "tsv", + "conll", + "conllu", + "orig", + "parquet", + "pkl", + "pickle", + "rel", + "xml", + "arrow", +] +COMPRESSION_EXTENSION_TO_PROTOCOL = { + # single file compression + **{fs_class.extension.lstrip("."): fs_class.protocol for fs_class in COMPRESSION_FILESYSTEMS}, + # archive compression + "zip": "zip", +} +SINGLE_FILE_COMPRESSION_EXTENSION_TO_PROTOCOL = { + fs_class.extension.lstrip("."): fs_class.protocol for fs_class in COMPRESSION_FILESYSTEMS +} +SINGLE_FILE_COMPRESSION_PROTOCOLS = {fs_class.protocol for fs_class in COMPRESSION_FILESYSTEMS} +SINGLE_SLASH_AFTER_PROTOCOL_PATTERN = re.compile(r"(? str: + # Get extension: https://foo.bar/train.json.gz -> gz + extension = path.split(".")[-1] + # Remove query params ("dl=1", "raw=true"): gz?dl=1 -> gz + # Remove shards infos (".txt_1", ".txt-00000-of-00100"): txt_1 -> txt + for symb in "?-_": + extension = extension.split(symb)[0] + return extension + + +def _get_extraction_protocol_with_magic_number(f) -> Optional[str]: + """read the magic number from a file-like object and return the compression protocol""" + # Check if the file object is seekable even before reading the magic number (to avoid https://bugs.python.org/issue26440) + try: + f.seek(0) + except (AttributeError, io.UnsupportedOperation): + return None + magic_number = f.read(MAGIC_NUMBER_MAX_LENGTH) + f.seek(0) + for i in range(MAGIC_NUMBER_MAX_LENGTH): + compression = MAGIC_NUMBER_TO_COMPRESSION_PROTOCOL.get(magic_number[: MAGIC_NUMBER_MAX_LENGTH - i]) + if compression is not None: + return compression + compression = MAGIC_NUMBER_TO_UNSUPPORTED_COMPRESSION_PROTOCOL.get(magic_number[: MAGIC_NUMBER_MAX_LENGTH - i]) + if compression is not None: + raise NotImplementedError(f"Compression protocol '{compression}' not implemented.") + + +def _get_extraction_protocol(urlpath: str, download_config: Optional[DownloadConfig] = None) -> Optional[str]: + # get inner file: zip://train-00000.json.gz::https://foo.bar/data.zip -> zip://train-00000.json.gz + urlpath = str(urlpath) + path = urlpath.split("::")[0] + extension = _get_path_extension(path) + if ( + extension in BASE_KNOWN_EXTENSIONS + or extension in ["tgz", "tar"] + or path.endswith((".tar.gz", ".tar.bz2", ".tar.xz")) + ): + return None + elif extension in COMPRESSION_EXTENSION_TO_PROTOCOL: + return COMPRESSION_EXTENSION_TO_PROTOCOL[extension] + urlpath, storage_options = _prepare_path_and_storage_options(urlpath, download_config=download_config) + try: + with fsspec.open(urlpath, **(storage_options or {})) as f: + return _get_extraction_protocol_with_magic_number(f) + except FileNotFoundError: + if urlpath.startswith(config.HF_ENDPOINT): + raise FileNotFoundError( + urlpath + "\nIf the repo is private or gated, make sure to log in with `huggingface-cli login`." + ) from None + else: + raise + + +def xjoin(a, *p): + """ + This function extends os.path.join to support the "::" hop separator. It supports both paths and urls. + + A shorthand, particularly useful where you have multiple hops, is to “chain” the URLs with the special separator "::". + This is used to access files inside a zip file over http for example. + + Let's say you have a zip file at https://host.com/archive.zip, and you want to access the file inside the zip file at /folder1/file.txt. + Then you can just chain the url this way: + + zip://folder1/file.txt::https://host.com/archive.zip + + The xjoin function allows you to apply the join on the first path of the chain. + + Example:: + + >>> xjoin("zip://folder1::https://host.com/archive.zip", "file.txt") + zip://folder1/file.txt::https://host.com/archive.zip + """ + a, *b = str(a).split("::") + if is_local_path(a): + return os.path.join(a, *p) + else: + a = posixpath.join(a, *p) + return "::".join([a] + b) + + +def xdirname(a): + """ + This function extends os.path.dirname to support the "::" hop separator. It supports both paths and urls. + + A shorthand, particularly useful where you have multiple hops, is to “chain” the URLs with the special separator "::". + This is used to access files inside a zip file over http for example. + + Let's say you have a zip file at https://host.com/archive.zip, and you want to access the file inside the zip file at /folder1/file.txt. + Then you can just chain the url this way: + + zip://folder1/file.txt::https://host.com/archive.zip + + The xdirname function allows you to apply the dirname on the first path of the chain. + + Example:: + + >>> xdirname("zip://folder1/file.txt::https://host.com/archive.zip") + zip://folder1::https://host.com/archive.zip + """ + a, *b = str(a).split("::") + if is_local_path(a): + a = os.path.dirname(Path(a).as_posix()) + else: + a = posixpath.dirname(a) + # if we end up at the root of the protocol, we get for example a = 'http:' + # so we have to fix it by adding the '//' that was removed: + if a.endswith(":"): + a += "//" + return "::".join([a] + b) + + +def xexists(urlpath: str, download_config: Optional[DownloadConfig] = None): + """Extend `os.path.exists` function to support both local and remote files. + + Args: + urlpath (`str`): URL path. + download_config : mainly use token or storage_options to support different platforms and auth types. + + Returns: + `bool` + """ + + main_hop, *rest_hops = _as_str(urlpath).split("::") + if is_local_path(main_hop): + return os.path.exists(main_hop) + else: + urlpath, storage_options = _prepare_path_and_storage_options(urlpath, download_config=download_config) + main_hop, *rest_hops = urlpath.split("::") + fs, *_ = url_to_fs(urlpath, **storage_options) + return fs.exists(main_hop) + + +def xbasename(a): + """ + This function extends os.path.basename to support the "::" hop separator. It supports both paths and urls. + + A shorthand, particularly useful where you have multiple hops, is to “chain” the URLs with the special separator "::". + This is used to access files inside a zip file over http for example. + + Let's say you have a zip file at https://host.com/archive.zip, and you want to access the file inside the zip file at /folder1/file.txt. + Then you can just chain the url this way: + + zip://folder1/file.txt::https://host.com/archive.zip + + The xbasename function allows you to apply the basename on the first path of the chain. + + Example:: + + >>> xbasename("zip://folder1/file.txt::https://host.com/archive.zip") + file.txt + """ + a, *b = str(a).split("::") + if is_local_path(a): + return os.path.basename(Path(a).as_posix()) + else: + return posixpath.basename(a) + + +def xsplit(a): + """ + This function extends os.path.split to support the "::" hop separator. It supports both paths and urls. + + A shorthand, particularly useful where you have multiple hops, is to “chain” the URLs with the special separator "::". + This is used to access files inside a zip file over http for example. + + Let's say you have a zip file at https://host.com/archive.zip, and you want to access the file inside the zip file at /folder1/file.txt. + Then you can just chain the url this way: + + zip://folder1/file.txt::https://host.com/archive.zip + + The xsplit function allows you to apply the xsplit on the first path of the chain. + + Example:: + + >>> xsplit("zip://folder1/file.txt::https://host.com/archive.zip") + ('zip://folder1::https://host.com/archive.zip', 'file.txt') + """ + a, *b = str(a).split("::") + if is_local_path(a): + return os.path.split(Path(a).as_posix()) + else: + a, tail = posixpath.split(a) + return "::".join([a + "//" if a.endswith(":") else a] + b), tail + + +def xsplitext(a): + """ + This function extends os.path.splitext to support the "::" hop separator. It supports both paths and urls. + + A shorthand, particularly useful where you have multiple hops, is to “chain” the URLs with the special separator "::". + This is used to access files inside a zip file over http for example. + + Let's say you have a zip file at https://host.com/archive.zip, and you want to access the file inside the zip file at /folder1/file.txt. + Then you can just chain the url this way: + + zip://folder1/file.txt::https://host.com/archive.zip + + The xsplitext function allows you to apply the splitext on the first path of the chain. + + Example:: + + >>> xsplitext("zip://folder1/file.txt::https://host.com/archive.zip") + ('zip://folder1/file::https://host.com/archive.zip', '.txt') + """ + a, *b = str(a).split("::") + if is_local_path(a): + return os.path.splitext(Path(a).as_posix()) + else: + a, ext = posixpath.splitext(a) + return "::".join([a] + b), ext + + +def xisfile(path, download_config: Optional[DownloadConfig] = None) -> bool: + """Extend `os.path.isfile` function to support remote files. + + Args: + path (`str`): URL path. + download_config : mainly use token or storage_options to support different platforms and auth types. + + Returns: + `bool` + """ + main_hop, *rest_hops = str(path).split("::") + if is_local_path(main_hop): + return os.path.isfile(path) + else: + path, storage_options = _prepare_path_and_storage_options(path, download_config=download_config) + main_hop, *rest_hops = path.split("::") + fs, *_ = url_to_fs(path, **storage_options) + return fs.isfile(main_hop) + + +def xgetsize(path, download_config: Optional[DownloadConfig] = None) -> int: + """Extend `os.path.getsize` function to support remote files. + + Args: + path (`str`): URL path. + download_config : mainly use token or storage_options to support different platforms and auth types. + + Returns: + `int`: optional + """ + main_hop, *rest_hops = str(path).split("::") + if is_local_path(main_hop): + return os.path.getsize(path) + else: + path, storage_options = _prepare_path_and_storage_options(path, download_config=download_config) + main_hop, *rest_hops = path.split("::") + fs, *_ = fs, *_ = url_to_fs(path, **storage_options) + try: + size = fs.size(main_hop) + except EntryNotFoundError: + raise FileNotFoundError(f"No such file: {path}") + if size is None: + # use xopen instead of fs.open to make data fetching more robust + with xopen(path, download_config=download_config) as f: + size = len(f.read()) + return size + + +def xisdir(path, download_config: Optional[DownloadConfig] = None) -> bool: + """Extend `os.path.isdir` function to support remote files. + + Args: + path (`str`): URL path. + download_config : mainly use token or storage_options to support different platforms and auth types. + + Returns: + `bool` + """ + main_hop, *rest_hops = str(path).split("::") + if is_local_path(main_hop): + return os.path.isdir(path) + else: + path, storage_options = _prepare_path_and_storage_options(path, download_config=download_config) + main_hop, *rest_hops = path.split("::") + fs, *_ = fs, *_ = url_to_fs(path, **storage_options) + inner_path = main_hop.split("://")[-1] + if not inner_path.strip("/"): + return True + return fs.isdir(inner_path) + + +def xrelpath(path, start=None): + """Extend `os.path.relpath` function to support remote files. + + Args: + path (`str`): URL path. + start (`str`): Start URL directory path. + + Returns: + `str` + """ + main_hop, *rest_hops = str(path).split("::") + if is_local_path(main_hop): + return os.path.relpath(main_hop, start=start) if start else os.path.relpath(main_hop) + else: + return posixpath.relpath(main_hop, start=str(start).split("::")[0]) if start else os.path.relpath(main_hop) + + +def _add_retries_to_file_obj_read_method(file_obj): + read = file_obj.read + max_retries = config.STREAMING_READ_MAX_RETRIES + + def read_with_retries(*args, **kwargs): + disconnect_err = None + for retry in range(1, max_retries + 1): + try: + out = read(*args, **kwargs) + break + except ( + _AiohttpClientError, + asyncio.TimeoutError, + requests.exceptions.ConnectionError, + requests.exceptions.Timeout, + ) as err: + disconnect_err = err + logger.warning( + f"Got disconnected from remote data host. Retrying in {config.STREAMING_READ_RETRY_INTERVAL}sec [{retry}/{max_retries}]" + ) + time.sleep(config.STREAMING_READ_RETRY_INTERVAL) + else: + raise ConnectionError("Server Disconnected") from disconnect_err + return out + + try: + file_obj.read = read_with_retries + except AttributeError: # read-only attribute + orig_file_obj = file_obj + file_obj = io.RawIOBase() + file_obj.read = read_with_retries + file_obj.__getattr__ = lambda _, attr: getattr(orig_file_obj, attr) + return file_obj + + +def _prepare_path_and_storage_options( + urlpath: str, download_config: Optional[DownloadConfig] = None +) -> tuple[str, dict[str, dict[str, Any]]]: + prepared_urlpath = [] + prepared_storage_options = {} + for hop in urlpath.split("::"): + hop, storage_options = _prepare_single_hop_path_and_storage_options(hop, download_config=download_config) + prepared_urlpath.append(hop) + prepared_storage_options.update(storage_options) + return "::".join(prepared_urlpath), storage_options + + +def _prepare_single_hop_path_and_storage_options( + urlpath: str, download_config: Optional[DownloadConfig] = None +) -> tuple[str, dict[str, dict[str, Any]]]: + """ + Prepare the URL and the kwargs that must be passed to the HttpFileSystem or HfFileSystem + + In particular it resolves google drive URLs + It also adds the authentication headers for the Hugging Face Hub, for both https:// and hf:// paths. + + Storage options are formatted in the form {protocol: storage_options_for_protocol} + """ + token = None if download_config is None else download_config.token + if urlpath.startswith(config.HF_ENDPOINT) and "/resolve/" in urlpath: + urlpath = "hf://" + urlpath[len(config.HF_ENDPOINT) + 1 :].replace("/resolve/", "@", 1) + protocol = urlpath.split("://")[0] if "://" in urlpath else "file" + if download_config is not None and protocol in download_config.storage_options: + storage_options = download_config.storage_options[protocol].copy() + elif download_config is not None and protocol not in download_config.storage_options: + storage_options = { + option_name: option_value + for option_name, option_value in download_config.storage_options.items() + if option_name not in fsspec.available_protocols() + } + else: + storage_options = {} + if protocol in {"http", "https"}: + client_kwargs = storage_options.pop("client_kwargs", {}) + storage_options["client_kwargs"] = {"trust_env": True, **client_kwargs} # Enable reading proxy env variables + if "drive.google.com" in urlpath: + response = get_session().head(urlpath, timeout=10) + for k, v in response.cookies.items(): + if k.startswith("download_warning"): + urlpath += "&confirm=" + v + cookies = response.cookies + storage_options = {"cookies": cookies, **storage_options} + # Fix Google Drive URL to avoid Virus scan warning + if "confirm=" not in urlpath: + urlpath += "&confirm=t" + if urlpath.startswith("https://raw.githubusercontent.com/"): + # Workaround for served data with gzip content-encoding: https://github.com/fsspec/filesystem_spec/issues/389 + headers = storage_options.pop("headers", {}) + storage_options["headers"] = {"Accept-Encoding": "identity", **headers} + elif protocol == "hf": + storage_options = { + "token": token, + "endpoint": config.HF_ENDPOINT, + **storage_options, + } + # streaming with block_size=0 is only implemented in 0.21 (see https://github.com/huggingface/huggingface_hub/pull/1967) + if config.HF_HUB_VERSION < version.parse("0.21.0"): + storage_options["block_size"] = "default" + if storage_options: + storage_options = {protocol: storage_options} + return urlpath, storage_options + + +def xopen(file: str, mode="r", *args, download_config: Optional[DownloadConfig] = None, **kwargs): + """Extend `open` function to support remote files using `fsspec`. + + It also has a retry mechanism in case connection fails. + The `args` and `kwargs` are passed to `fsspec.open`, except `token` which is used for queries to private repos on huggingface.co + + Args: + file (`str`): Path name of the file to be opened. + mode (`str`, *optional*, default "r"): Mode in which the file is opened. + *args: Arguments to be passed to `fsspec.open`. + download_config : mainly use token or storage_options to support different platforms and auth types. + **kwargs: Keyword arguments to be passed to `fsspec.open`. + + Returns: + file object + """ + # This works as well for `xopen(str(Path(...)))` + file_str = _as_str(file) + main_hop, *rest_hops = file_str.split("::") + if is_local_path(main_hop): + # ignore fsspec-specific kwargs + kwargs.pop("block_size", None) + return open(main_hop, mode, *args, **kwargs) + # add headers and cookies for authentication on the HF Hub and for Google Drive + file, storage_options = _prepare_path_and_storage_options(file_str, download_config=download_config) + kwargs = {**kwargs, **(storage_options or {})} + try: + file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open() + except ValueError as e: + if str(e) == "Cannot seek streaming HTTP file": + raise NonStreamableDatasetError( + "Streaming is not possible for this dataset because data host server doesn't support HTTP range " + "requests. You can still load this dataset in non-streaming mode by passing `streaming=False` (default)" + ) from e + else: + raise + except FileNotFoundError: + if file.startswith(config.HF_ENDPOINT): + raise FileNotFoundError( + file + "\nIf the repo is private or gated, make sure to log in with `huggingface-cli login`." + ) from None + else: + raise + file_obj = _add_retries_to_file_obj_read_method(file_obj) + return file_obj + + +def xlistdir(path: str, download_config: Optional[DownloadConfig] = None) -> list[str]: + """Extend `os.listdir` function to support remote files. + + Args: + path (`str`): URL path. + download_config : mainly use token or storage_options to support different platforms and auth types. + + Returns: + `list` of `str` + """ + main_hop, *rest_hops = _as_str(path).split("::") + if is_local_path(main_hop): + return os.listdir(path) + else: + # globbing inside a zip in a private repo requires authentication + path, storage_options = _prepare_path_and_storage_options(path, download_config=download_config) + main_hop, *rest_hops = path.split("::") + fs, *_ = url_to_fs(path, **storage_options) + inner_path = main_hop.split("://")[-1] + if inner_path.strip("/") and not fs.isdir(inner_path): + raise FileNotFoundError(f"Directory doesn't exist: {path}") + paths = fs.listdir(inner_path, detail=False) + return [os.path.basename(path.rstrip("/")) for path in paths] + + +def xglob(urlpath, *, recursive=False, download_config: Optional[DownloadConfig] = None): + """Extend `glob.glob` function to support remote files. + + Args: + urlpath (`str`): URL path with shell-style wildcard patterns. + recursive (`bool`, default `False`): Whether to match the "**" pattern recursively to zero or more + directories or subdirectories. + download_config : mainly use token or storage_options to support different platforms and auth types. + + Returns: + `list` of `str` + """ + main_hop, *rest_hops = _as_str(urlpath).split("::") + if is_local_path(main_hop): + return glob.glob(main_hop, recursive=recursive) + else: + # globbing inside a zip in a private repo requires authentication + urlpath, storage_options = _prepare_path_and_storage_options(urlpath, download_config=download_config) + main_hop, *rest_hops = urlpath.split("::") + fs, *_ = url_to_fs(urlpath, **storage_options) + inner_path = main_hop.split("://")[1] + globbed_paths = fs.glob(inner_path) + protocol = fs.protocol if isinstance(fs.protocol, str) else fs.protocol[-1] + return ["::".join([f"{protocol}://{globbed_path}"] + rest_hops) for globbed_path in globbed_paths] + + +def xwalk(urlpath, download_config: Optional[DownloadConfig] = None, **kwargs): + """Extend `os.walk` function to support remote files. + + Args: + urlpath (`str`): URL root path. + download_config : mainly use token or storage_options to support different platforms and auth types. + **kwargs: Additional keyword arguments forwarded to the underlying filesystem. + + + Yields: + `tuple`: 3-tuple (dirpath, dirnames, filenames). + """ + main_hop, *rest_hops = _as_str(urlpath).split("::") + if is_local_path(main_hop): + yield from os.walk(main_hop, **kwargs) + else: + # walking inside a zip in a private repo requires authentication + urlpath, storage_options = _prepare_path_and_storage_options(urlpath, download_config=download_config) + main_hop, *rest_hops = urlpath.split("::") + fs, *_ = url_to_fs(urlpath, **storage_options) + inner_path = main_hop.split("://")[-1] + if inner_path.strip("/") and not fs.isdir(inner_path): + return [] + protocol = fs.protocol if isinstance(fs.protocol, str) else fs.protocol[-1] + for dirpath, dirnames, filenames in fs.walk(inner_path, **kwargs): + yield "::".join([f"{protocol}://{dirpath}"] + rest_hops), dirnames, filenames + + +class xPath(type(Path())): + """Extension of `pathlib.Path` to support both local paths and remote URLs.""" + + def __str__(self): + path_str = super().__str__() + main_hop, *rest_hops = path_str.split("::") + if is_local_path(main_hop): + return main_hop + path_as_posix = path_str.replace("\\", "/") + path_as_posix = SINGLE_SLASH_AFTER_PROTOCOL_PATTERN.sub("://", path_as_posix) + path_as_posix += "//" if path_as_posix.endswith(":") else "" # Add slashes to root of the protocol + return path_as_posix + + def exists(self, download_config: Optional[DownloadConfig] = None): + """Extend `pathlib.Path.exists` method to support both local and remote files. + + Args: + download_config : mainly use token or storage_options to support different platforms and auth types. + + Returns: + `bool` + """ + return xexists(str(self), download_config=download_config) + + def glob(self, pattern, download_config: Optional[DownloadConfig] = None): + """Glob function for argument of type :obj:`~pathlib.Path` that supports both local paths end remote URLs. + + Args: + pattern (`str`): Pattern that resulting paths must match. + download_config : mainly use token or storage_options to support different platforms and auth types. + + Yields: + [`xPath`] + """ + posix_path = self.as_posix() + main_hop, *rest_hops = posix_path.split("::") + if is_local_path(main_hop): + yield from Path(main_hop).glob(pattern) + else: + # globbing inside a zip in a private repo requires authentication + if rest_hops: + urlpath = rest_hops[0] + urlpath, storage_options = _prepare_path_and_storage_options(urlpath, download_config=download_config) + storage_options = {urlpath.split("://")[0]: storage_options} + posix_path = "::".join([main_hop, urlpath, *rest_hops[1:]]) + else: + storage_options = None + fs, *_ = url_to_fs(xjoin(posix_path, pattern), **(storage_options or {})) + globbed_paths = fs.glob(xjoin(main_hop, pattern)) + for globbed_path in globbed_paths: + yield type(self)("::".join([f"{fs.protocol}://{globbed_path}"] + rest_hops)) + + def rglob(self, pattern, **kwargs): + """Rglob function for argument of type :obj:`~pathlib.Path` that supports both local paths end remote URLs. + + Args: + pattern (`str`): Pattern that resulting paths must match. + + Yields: + [`xPath`] + """ + return self.glob("**/" + pattern, **kwargs) + + @property + def parent(self) -> "xPath": + """Name function for argument of type :obj:`~pathlib.Path` that supports both local paths end remote URLs. + + Returns: + [`xPath`] + """ + return type(self)(xdirname(self.as_posix())) + + @property + def name(self) -> str: + """Name function for argument of type :obj:`~pathlib.Path` that supports both local paths end remote URLs. + + Returns: + `str` + """ + return PurePosixPath(self.as_posix().split("::")[0]).name + + @property + def stem(self) -> str: + """Stem function for argument of type :obj:`~pathlib.Path` that supports both local paths end remote URLs. + + Returns: + `str` + """ + return PurePosixPath(self.as_posix().split("::")[0]).stem + + @property + def suffix(self) -> str: + """Suffix function for argument of type :obj:`~pathlib.Path` that supports both local paths end remote URLs. + + Returns: + `str` + """ + return PurePosixPath(self.as_posix().split("::")[0]).suffix + + def open(self, *args, **kwargs): + """Extend :func:`xopen` to support argument of type :obj:`~pathlib.Path`. + + Args: + **args: Arguments passed to :func:`fsspec.open`. + **kwargs: Keyword arguments passed to :func:`fsspec.open`. + + Returns: + `io.FileIO`: File-like object. + """ + return xopen(str(self), *args, **kwargs) + + def joinpath(self, *p: tuple[str, ...]) -> "xPath": + """Extend :func:`xjoin` to support argument of type :obj:`~pathlib.Path`. + + Args: + *p (`tuple` of `str`): Other path components. + + Returns: + [`xPath`] + """ + return type(self)(xjoin(self.as_posix(), *p)) + + def __truediv__(self, p: str) -> "xPath": + return self.joinpath(p) + + def with_suffix(self, suffix): + main_hop, *rest_hops = str(self).split("::") + if is_local_path(main_hop): + return type(self)(str(super().with_suffix(suffix))) + return type(self)("::".join([type(self)(PurePosixPath(main_hop).with_suffix(suffix)).as_posix()] + rest_hops)) + + +def _as_str(path: Union[str, Path, xPath]): + return str(path) if isinstance(path, xPath) else str(xPath(str(path))) + + +def xgzip_open(filepath_or_buffer, *args, download_config: Optional[DownloadConfig] = None, **kwargs): + import gzip + + if hasattr(filepath_or_buffer, "read"): + return gzip.open(filepath_or_buffer, *args, **kwargs) + else: + filepath_or_buffer = str(filepath_or_buffer) + return gzip.open(xopen(filepath_or_buffer, "rb", download_config=download_config), *args, **kwargs) + + +def xnumpy_load(filepath_or_buffer, *args, download_config: Optional[DownloadConfig] = None, **kwargs): + import numpy as np + + if hasattr(filepath_or_buffer, "read"): + return np.load(filepath_or_buffer, *args, **kwargs) + else: + filepath_or_buffer = str(filepath_or_buffer) + return np.load(xopen(filepath_or_buffer, "rb", download_config=download_config), *args, **kwargs) + + +def xpandas_read_csv(filepath_or_buffer, download_config: Optional[DownloadConfig] = None, **kwargs): + import pandas as pd + + if hasattr(filepath_or_buffer, "read"): + return pd.read_csv(filepath_or_buffer, **kwargs) + else: + filepath_or_buffer = str(filepath_or_buffer) + if kwargs.get("compression", "infer") == "infer": + kwargs["compression"] = _get_extraction_protocol(filepath_or_buffer, download_config=download_config) + return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs) + + +def xpandas_read_excel(filepath_or_buffer, download_config: Optional[DownloadConfig] = None, **kwargs): + import pandas as pd + + if hasattr(filepath_or_buffer, "read"): + try: + return pd.read_excel(filepath_or_buffer, **kwargs) + except ValueError: # Cannot seek streaming HTTP file + return pd.read_excel(BytesIO(filepath_or_buffer.read()), **kwargs) + else: + filepath_or_buffer = str(filepath_or_buffer) + try: + return pd.read_excel(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs) + except ValueError: # Cannot seek streaming HTTP file + return pd.read_excel( + BytesIO(xopen(filepath_or_buffer, "rb", download_config=download_config).read()), **kwargs + ) + + +def xpyarrow_parquet_read_table(filepath_or_buffer, download_config: Optional[DownloadConfig] = None, **kwargs): + import pyarrow.parquet as pq + + if hasattr(filepath_or_buffer, "read"): + return pq.read_table(filepath_or_buffer, **kwargs) + else: + filepath_or_buffer = str(filepath_or_buffer) + return pq.read_table(xopen(filepath_or_buffer, mode="rb", download_config=download_config), **kwargs) + + +def xsio_loadmat(filepath_or_buffer, download_config: Optional[DownloadConfig] = None, **kwargs): + import scipy.io as sio + + if hasattr(filepath_or_buffer, "read"): + return sio.loadmat(filepath_or_buffer, **kwargs) + else: + return sio.loadmat(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs) + + +def xet_parse(source, parser=None, download_config: Optional[DownloadConfig] = None): + """Extend `xml.etree.ElementTree.parse` function to support remote files. + + Args: + source: File path or file object. + parser (`XMLParser`, *optional*, default `XMLParser`): Parser instance. + download_config : mainly use token or storage_options to support different platforms and auth types. + + Returns: + `xml.etree.ElementTree.Element`: Root element of the given source document. + """ + if hasattr(source, "read"): + return ET.parse(source, parser=parser) + else: + with xopen(source, "rb", download_config=download_config) as f: + return ET.parse(f, parser=parser) + + +def xxml_dom_minidom_parse(filename_or_file, download_config: Optional[DownloadConfig] = None, **kwargs): + """Extend `xml.dom.minidom.parse` function to support remote files. + + Args: + filename_or_file (`str` or file): File path or file object. + download_config : mainly use token or storage_options to support different platforms and auth types. + **kwargs (optional): Additional keyword arguments passed to `xml.dom.minidom.parse`. + + Returns: + :obj:`xml.dom.minidom.Document`: Parsed document. + """ + if hasattr(filename_or_file, "read"): + return xml.dom.minidom.parse(filename_or_file, **kwargs) + else: + with xopen(filename_or_file, "rb", download_config=download_config) as f: + return xml.dom.minidom.parse(f, **kwargs) + + +class ArchiveIterable(TrackedIterableFromGenerator): + """An iterable of (path, fileobj) from a TAR archive, used by `iter_archive`""" + + @staticmethod + def _iter_tar(f): + stream = tarfile.open(fileobj=f, mode="r|*") + for tarinfo in stream: + file_path = tarinfo.name + if not tarinfo.isreg(): + continue + if file_path is None: + continue + if os.path.basename(file_path).startswith((".", "__")): + # skipping hidden files + continue + file_obj = stream.extractfile(tarinfo) + yield file_path, file_obj + stream.members = [] + del stream + + @staticmethod + def _iter_zip(f): + zipf = zipfile.ZipFile(f) + for member in zipf.infolist(): + file_path = member.filename + if member.is_dir(): + continue + if file_path is None: + continue + if os.path.basename(file_path).startswith((".", "__")): + # skipping hidden files + continue + file_obj = zipf.open(member) + yield file_path, file_obj + + @classmethod + def _iter_from_fileobj(cls, f) -> Generator[tuple, None, None]: + compression = _get_extraction_protocol_with_magic_number(f) + if compression == "zip": + yield from cls._iter_zip(f) + else: + yield from cls._iter_tar(f) + + @classmethod + def _iter_from_urlpath( + cls, urlpath: str, download_config: Optional[DownloadConfig] = None + ) -> Generator[tuple, None, None]: + compression = _get_extraction_protocol(urlpath, download_config=download_config) + # Set block_size=0 to get faster streaming + # (e.g. for hf:// and https:// it uses streaming Requests file-like instances) + with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f: + if compression == "zip": + yield from cls._iter_zip(f) + else: + yield from cls._iter_tar(f) + + @classmethod + def from_buf(cls, fileobj) -> "ArchiveIterable": + return cls(cls._iter_from_fileobj, fileobj) + + @classmethod + def from_urlpath(cls, urlpath_or_buf, download_config: Optional[DownloadConfig] = None) -> "ArchiveIterable": + return cls(cls._iter_from_urlpath, urlpath_or_buf, download_config) + + +class FilesIterable(TrackedIterableFromGenerator): + """An iterable of paths from a list of directories or files""" + + @classmethod + def _iter_from_urlpaths( + cls, urlpaths: Union[str, list[str]], download_config: Optional[DownloadConfig] = None + ) -> Generator[str, None, None]: + if not isinstance(urlpaths, list): + urlpaths = [urlpaths] + for urlpath in urlpaths: + if xisfile(urlpath, download_config=download_config): + yield urlpath + elif xisdir(urlpath, download_config=download_config): + for dirpath, dirnames, filenames in xwalk(urlpath, download_config=download_config): + # in-place modification to prune the search + dirnames[:] = sorted([dirname for dirname in dirnames if not dirname.startswith((".", "__"))]) + if xbasename(dirpath).startswith((".", "__")): + # skipping hidden directories + continue + for filename in sorted(filenames): + if filename.startswith((".", "__")): + # skipping hidden files + continue + yield xjoin(dirpath, filename) + else: + raise FileNotFoundError(urlpath) + + @classmethod + def from_urlpaths(cls, urlpaths, download_config: Optional[DownloadConfig] = None) -> "FilesIterable": + return cls(cls._iter_from_urlpaths, urlpaths, download_config) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/filelock.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/filelock.py new file mode 100644 index 0000000000000000000000000000000000000000..df0728efe644d8eb32f0e578a85e39ba366e9743 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/filelock.py @@ -0,0 +1,11 @@ +# deprecated, please use the `filelock` package instead + +from filelock import ( # noqa: F401 # imported for backward compatibility TODO: remove in 3.0.0 + BaseFileLock, + SoftFileLock, + Timeout, + UnixFileLock, + WindowsFileLock, +) + +from ._filelock import FileLock # noqa: F401 # imported for backward compatibility. TODO: remove in 3.0.0 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/hub.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/hub.py new file mode 100644 index 0000000000000000000000000000000000000000..555157afd520236d4522785c08f3ba1e55468413 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/hub.py @@ -0,0 +1,14 @@ +from functools import partial + +from huggingface_hub import hf_hub_url +from huggingface_hub.utils import get_session, hf_raise_for_status + + +hf_dataset_url = partial(hf_hub_url, repo_type="dataset") + + +def check_auth(hf_api, repo_id, token=None): + headers = hf_api._build_hf_headers(token=token) + path = f"{hf_api.endpoint}/api/datasets/{repo_id}/auth-check" + r = get_session().get(path, headers=headers) + hf_raise_for_status(r) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/info_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/info_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..d93f5b4509f47c5c12ad98c11fb34acfdab9b714 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/info_utils.py @@ -0,0 +1,106 @@ +import enum +import os +from typing import Optional + +from huggingface_hub.utils import insecure_hashlib + +from .. import config +from ..exceptions import ( + ExpectedMoreDownloadedFilesError, + ExpectedMoreSplitsError, + NonMatchingChecksumError, + NonMatchingSplitsSizesError, + UnexpectedDownloadedFileError, + UnexpectedSplitsError, +) +from .logging import get_logger + + +logger = get_logger(__name__) + + +class VerificationMode(enum.Enum): + """`Enum` that specifies which verification checks to run. + + The default mode is `BASIC_CHECKS`, which will perform only rudimentary checks to avoid slowdowns + when generating/downloading a dataset for the first time. + + The verification modes: + + | | Verification checks | + |---------------------------|------------------------------------------------------------------------------ | + | `ALL_CHECKS` | Split checks, uniqueness of the keys yielded in case of the GeneratorBuilder | + | | and the validity (number of files, checksums, etc.) of downloaded files | + | `BASIC_CHECKS` (default) | Same as `ALL_CHECKS` but without checking downloaded files | + | `NO_CHECKS` | None | + + """ + + ALL_CHECKS = "all_checks" + BASIC_CHECKS = "basic_checks" + NO_CHECKS = "no_checks" + + +def verify_checksums(expected_checksums: Optional[dict], recorded_checksums: dict, verification_name=None): + if expected_checksums is None: + logger.info("Unable to verify checksums.") + return + if len(set(expected_checksums) - set(recorded_checksums)) > 0: + raise ExpectedMoreDownloadedFilesError(str(set(expected_checksums) - set(recorded_checksums))) + if len(set(recorded_checksums) - set(expected_checksums)) > 0: + raise UnexpectedDownloadedFileError(str(set(recorded_checksums) - set(expected_checksums))) + bad_urls = [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]] + for_verification_name = " for " + verification_name if verification_name is not None else "" + if len(bad_urls) > 0: + raise NonMatchingChecksumError( + f"Checksums didn't match{for_verification_name}:\n" + f"{bad_urls}\n" + "Set `verification_mode='no_checks'` to skip checksums verification and ignore this error" + ) + logger.info("All the checksums matched successfully" + for_verification_name) + + +def verify_splits(expected_splits: Optional[dict], recorded_splits: dict): + if expected_splits is None: + logger.info("Unable to verify splits sizes.") + return + if len(set(expected_splits) - set(recorded_splits)) > 0: + raise ExpectedMoreSplitsError(str(set(expected_splits) - set(recorded_splits))) + if len(set(recorded_splits) - set(expected_splits)) > 0: + raise UnexpectedSplitsError(str(set(recorded_splits) - set(expected_splits))) + bad_splits = [ + {"expected": expected_splits[name], "recorded": recorded_splits[name]} + for name in expected_splits + if expected_splits[name].num_examples != recorded_splits[name].num_examples + ] + if len(bad_splits) > 0: + raise NonMatchingSplitsSizesError(str(bad_splits)) + logger.info("All the splits matched successfully.") + + +def get_size_checksum_dict(path: str, record_checksum: bool = True) -> dict: + """Compute the file size and the sha256 checksum of a file""" + if record_checksum: + m = insecure_hashlib.sha256() + with open(path, "rb") as f: + for chunk in iter(lambda: f.read(1 << 20), b""): + m.update(chunk) + checksum = m.hexdigest() + else: + checksum = None + return {"num_bytes": os.path.getsize(path), "checksum": checksum} + + +def is_small_dataset(dataset_size): + """Check if `dataset_size` is smaller than `config.IN_MEMORY_MAX_SIZE`. + + Args: + dataset_size (int): Dataset size in bytes. + + Returns: + bool: Whether `dataset_size` is smaller than `config.IN_MEMORY_MAX_SIZE`. + """ + if dataset_size and config.IN_MEMORY_MAX_SIZE: + return dataset_size < config.IN_MEMORY_MAX_SIZE + else: + return False diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/logging.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/logging.py new file mode 100644 index 0000000000000000000000000000000000000000..1417f82ac0d42f0206b2bba2516de082a6f4f980 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/logging.py @@ -0,0 +1,178 @@ +# Copyright 2020 Optuna, Hugging Face +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Logging utilities.""" + +import logging +import os +from logging import ( + CRITICAL, # NOQA + DEBUG, # NOQA + ERROR, # NOQA + FATAL, # NOQA + INFO, # NOQA + NOTSET, # NOQA + WARN, # NOQA + WARNING, # NOQA +) +from typing import Optional + +from .tqdm import ( # noqa: F401 # imported for backward compatibility + disable_progress_bar, + enable_progress_bar, + is_progress_bar_enabled, + tqdm, +) + + +log_levels = { + "debug": logging.DEBUG, + "info": logging.INFO, + "warning": logging.WARNING, + "error": logging.ERROR, + "critical": logging.CRITICAL, +} + +_default_log_level = logging.WARNING + + +def _get_default_logging_level(): + """ + If DATASETS_VERBOSITY env var is set to one of the valid choices return that as the new default level. + If it is not - fall back to ``_default_log_level`` + """ + env_level_str = os.getenv("DATASETS_VERBOSITY", None) + if env_level_str: + if env_level_str in log_levels: + return log_levels[env_level_str] + else: + logging.getLogger().warning( + f"Unknown option DATASETS_VERBOSITY={env_level_str}, has to be one of: {', '.join(log_levels.keys())}" + ) + return _default_log_level + + +def _get_library_name() -> str: + return __name__.split(".")[0] + + +def _get_library_root_logger() -> logging.Logger: + return logging.getLogger(_get_library_name()) + + +def _configure_library_root_logger() -> None: + # Apply our default configuration to the library root logger. + library_root_logger = _get_library_root_logger() + library_root_logger.addHandler(logging.StreamHandler()) + library_root_logger.setLevel(_get_default_logging_level()) + + +def _reset_library_root_logger() -> None: + library_root_logger = _get_library_root_logger() + library_root_logger.setLevel(logging.NOTSET) + + +def get_logger(name: Optional[str] = None) -> logging.Logger: + """Return a logger with the specified name. + This function can be used in dataset scripts. + """ + if name is None: + name = _get_library_name() + return logging.getLogger(name) + + +def get_verbosity() -> int: + """Return the current level for the HuggingFace datasets library's root logger. + Returns: + Logging level, e.g., `datasets.logging.DEBUG` and `datasets.logging.INFO`. + + + + HuggingFace datasets library has following logging levels: + - `datasets.logging.CRITICAL`, `datasets.logging.FATAL` + - `datasets.logging.ERROR` + - `datasets.logging.WARNING`, `datasets.logging.WARN` + - `datasets.logging.INFO` + - `datasets.logging.DEBUG` + + + """ + return _get_library_root_logger().getEffectiveLevel() + + +def set_verbosity(verbosity: int) -> None: + """Set the level for the Hugging Face Datasets library's root logger. + Args: + verbosity: + Logging level, e.g., `datasets.logging.DEBUG` and `datasets.logging.INFO`. + """ + _get_library_root_logger().setLevel(verbosity) + + +def set_verbosity_info(): + """Set the level for the Hugging Face datasets library's root logger to `INFO`. + + This will display most of the logging information and tqdm bars. + + Shortcut to `datasets.logging.set_verbosity(datasets.logging.INFO)`. + """ + return set_verbosity(INFO) + + +def set_verbosity_warning(): + """Set the level for the Hugging Face datasets library's root logger to `WARNING`. + + This will display only the warning and errors logging information and tqdm bars. + + Shortcut to `datasets.logging.set_verbosity(datasets.logging.WARNING)`. + """ + return set_verbosity(WARNING) + + +def set_verbosity_debug(): + """Set the level for the Hugging Face datasets library's root logger to `DEBUG`. + + This will display all the logging information and tqdm bars. + + Shortcut to `datasets.logging.set_verbosity(datasets.logging.DEBUG)`. + """ + return set_verbosity(DEBUG) + + +def set_verbosity_error(): + """Set the level for the Hugging Face datasets library's root logger to `ERROR`. + + This will display only the errors logging information and tqdm bars. + + Shortcut to `datasets.logging.set_verbosity(datasets.logging.ERROR)`. + """ + return set_verbosity(ERROR) + + +def disable_propagation() -> None: + """Disable propagation of the library log outputs. + Note that log propagation is disabled by default. + """ + _get_library_root_logger().propagate = False + + +def enable_propagation() -> None: + """Enable propagation of the library log outputs. + Please disable the Hugging Face datasets library's default handler to prevent double logging if the root logger has + been configured. + """ + _get_library_root_logger().propagate = True + + +# Configure the library root logger at the module level (singleton-like) +_configure_library_root_logger() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/metadata.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/metadata.py new file mode 100644 index 0000000000000000000000000000000000000000..cceecf35d63f518fcb7a62c804b9679e5d0c144e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/metadata.py @@ -0,0 +1,233 @@ +import re +import textwrap +from collections import Counter +from itertools import groupby +from operator import itemgetter +from typing import Any, ClassVar, Optional + +import yaml +from huggingface_hub import DatasetCardData + +from ..config import METADATA_CONFIGS_FIELD +from ..features import Features +from ..info import DatasetInfo, DatasetInfosDict +from ..naming import _split_re +from ..utils.logging import get_logger + + +logger = get_logger(__name__) + + +class _NoDuplicateSafeLoader(yaml.SafeLoader): + def _check_no_duplicates_on_constructed_node(self, node): + keys = [self.constructed_objects[key_node] for key_node, _ in node.value] + keys = [tuple(key) if isinstance(key, list) else key for key in keys] + counter = Counter(keys) + duplicate_keys = [key for key in counter if counter[key] > 1] + if duplicate_keys: + raise TypeError(f"Got duplicate yaml keys: {duplicate_keys}") + + def construct_mapping(self, node, deep=False): + mapping = super().construct_mapping(node, deep=deep) + self._check_no_duplicates_on_constructed_node(node) + return mapping + + +def _split_yaml_from_readme(readme_content: str) -> tuple[Optional[str], str]: + full_content = list(readme_content.splitlines()) + if full_content and full_content[0] == "---" and "---" in full_content[1:]: + sep_idx = full_content[1:].index("---") + 1 + yamlblock = "\n".join(full_content[1:sep_idx]) + return yamlblock, "\n".join(full_content[sep_idx + 1 :]) + + return None, "\n".join(full_content) + + +class MetadataConfigs(dict[str, dict[str, Any]]): + """Should be in format {config_name: {**config_params}}.""" + + FIELD_NAME: ClassVar[str] = METADATA_CONFIGS_FIELD + + @staticmethod + def _raise_if_data_files_field_not_valid(metadata_config: dict): + yaml_data_files = metadata_config.get("data_files") + if yaml_data_files is not None: + yaml_error_message = textwrap.dedent( + f""" + Expected data_files in YAML to be either a string or a list of strings + or a list of dicts with two keys: 'split' and 'path', but got {yaml_data_files} + Examples of data_files in YAML: + + data_files: data.csv + + data_files: data/*.png + + data_files: + - part0/* + - part1/* + + data_files: + - split: train + path: train/* + - split: test + path: test/* + + data_files: + - split: train + path: + - train/part1/* + - train/part2/* + - split: test + path: test/* + + PS: some symbols like dashes '-' are not allowed in split names + """ + ) + if not isinstance(yaml_data_files, (list, str)): + raise ValueError(yaml_error_message) + if isinstance(yaml_data_files, list): + for yaml_data_files_item in yaml_data_files: + if ( + not isinstance(yaml_data_files_item, (str, dict)) + or isinstance(yaml_data_files_item, dict) + and not ( + len(yaml_data_files_item) == 2 + and "split" in yaml_data_files_item + and re.match(_split_re, yaml_data_files_item["split"]) + and isinstance(yaml_data_files_item.get("path"), (str, list)) + ) + ): + raise ValueError(yaml_error_message) + + @classmethod + def _from_exported_parquet_files_and_dataset_infos( + cls, + parquet_commit_hash: str, + exported_parquet_files: list[dict[str, Any]], + dataset_infos: DatasetInfosDict, + ) -> "MetadataConfigs": + metadata_configs = { + config_name: { + "data_files": [ + { + "split": split_name, + "path": [ + parquet_file["url"].replace("refs%2Fconvert%2Fparquet", parquet_commit_hash) + for parquet_file in parquet_files_for_split + ], + } + for split_name, parquet_files_for_split in groupby(parquet_files_for_config, itemgetter("split")) + ], + "version": str(dataset_infos.get(config_name, DatasetInfo()).version or "0.0.0"), + } + for config_name, parquet_files_for_config in groupby(exported_parquet_files, itemgetter("config")) + } + if dataset_infos: + # Preserve order of configs and splits + metadata_configs = { + config_name: { + "data_files": [ + data_file + for split_name in dataset_info.splits + for data_file in metadata_configs[config_name]["data_files"] + if data_file["split"] == split_name + ], + "version": metadata_configs[config_name]["version"], + } + for config_name, dataset_info in dataset_infos.items() + } + return cls(metadata_configs) + + @classmethod + def from_dataset_card_data(cls, dataset_card_data: DatasetCardData) -> "MetadataConfigs": + if dataset_card_data.get(cls.FIELD_NAME): + metadata_configs = dataset_card_data[cls.FIELD_NAME] + if not isinstance(metadata_configs, list): + raise ValueError(f"Expected {cls.FIELD_NAME} to be a list, but got '{metadata_configs}'") + for metadata_config in metadata_configs: + if "config_name" not in metadata_config: + raise ValueError( + f"Each config must include `config_name` field with a string name of a config, " + f"but got {metadata_config}. " + ) + cls._raise_if_data_files_field_not_valid(metadata_config) + return cls( + { + config.pop("config_name"): { + param: value if param != "features" else Features._from_yaml_list(value) + for param, value in config.items() + } + for metadata_config in metadata_configs + if (config := metadata_config.copy()) + } + ) + return cls() + + def to_dataset_card_data(self, dataset_card_data: DatasetCardData) -> None: + if self: + for metadata_config in self.values(): + self._raise_if_data_files_field_not_valid(metadata_config) + current_metadata_configs = self.from_dataset_card_data(dataset_card_data) + total_metadata_configs = dict(sorted({**current_metadata_configs, **self}.items())) + for config_name, config_metadata in total_metadata_configs.items(): + config_metadata.pop("config_name", None) + dataset_card_data[self.FIELD_NAME] = [ + {"config_name": config_name, **config_metadata} + for config_name, config_metadata in total_metadata_configs.items() + ] + + def get_default_config_name(self) -> Optional[str]: + default_config_name = None + for config_name, metadata_config in self.items(): + if len(self) == 1 or config_name == "default" or metadata_config.get("default"): + if default_config_name is None: + default_config_name = config_name + else: + raise ValueError( + f"Dataset has several default configs: '{default_config_name}' and '{config_name}'." + ) + return default_config_name + + +# DEPRECATED - just here to support old versions of evaluate like 0.2.2 +# To support new tasks on the Hugging Face Hub, please open a PR for this file: +# https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/pipelines.ts +known_task_ids = { + "image-classification": [], + "translation": [], + "image-segmentation": [], + "fill-mask": [], + "automatic-speech-recognition": [], + "token-classification": [], + "sentence-similarity": [], + "audio-classification": [], + "question-answering": [], + "summarization": [], + "zero-shot-classification": [], + "table-to-text": [], + "feature-extraction": [], + "other": [], + "multiple-choice": [], + "text-classification": [], + "text-to-image": [], + "text2text-generation": [], + "zero-shot-image-classification": [], + "tabular-classification": [], + "tabular-regression": [], + "image-to-image": [], + "tabular-to-text": [], + "unconditional-image-generation": [], + "text-retrieval": [], + "text-to-speech": [], + "object-detection": [], + "audio-to-audio": [], + "text-generation": [], + "conversational": [], + "table-question-answering": [], + "visual-question-answering": [], + "image-to-text": [], + "reinforcement-learning": [], + "voice-activity-detection": [], + "time-series-forecasting": [], + "document-question-answering": [], +} diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/patching.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/patching.py new file mode 100644 index 0000000000000000000000000000000000000000..f245cabd97065d9e82a1320d02999f9ec03bda36 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/patching.py @@ -0,0 +1,119 @@ +from importlib import import_module + +from .logging import get_logger + + +logger = get_logger(__name__) + + +class _PatchedModuleObj: + """Set all the modules components as attributes of the _PatchedModuleObj object.""" + + def __init__(self, module, attrs=None): + attrs = attrs or [] + if module is not None: + for key in module.__dict__: + if key in attrs or not key.startswith("__"): + setattr(self, key, getattr(module, key)) + self._original_module = module._original_module if isinstance(module, _PatchedModuleObj) else module + + +class patch_submodule: + """ + Patch a submodule attribute of an object, by keeping all other submodules intact at all levels. + + Example:: + + >>> import importlib + >>> from datasets.load import dataset_module_factory + >>> from datasets.streaming import patch_submodule, xjoin + >>> + >>> dataset_module = dataset_module_factory("snli") + >>> snli_module = importlib.import_module(dataset_module.module_path) + >>> patcher = patch_submodule(snli_module, "os.path.join", xjoin) + >>> patcher.start() + >>> assert snli_module.os.path.join is xjoin + """ + + _active_patches = [] + + def __init__(self, obj, target: str, new, attrs=None): + self.obj = obj + self.target = target + self.new = new + self.key = target.split(".")[0] + self.original = {} + self.attrs = attrs or [] + + def __enter__(self): + *submodules, target_attr = self.target.split(".") + + # Patch modules: + # it's used to patch attributes of submodules like "os.path.join"; + # in this case we need to patch "os" and "os.path" + + for i in range(len(submodules)): + try: + submodule = import_module(".".join(submodules[: i + 1])) + except ModuleNotFoundError: + continue + # We iterate over all the globals in self.obj in case we find "os" or "os.path" + for attr in self.obj.__dir__(): + obj_attr = getattr(self.obj, attr) + # We don't check for the name of the global, but rather if its value *is* "os" or "os.path". + # This allows to patch renamed modules like "from os import path as ospath". + if obj_attr is submodule or ( + isinstance(obj_attr, _PatchedModuleObj) and obj_attr._original_module is submodule + ): + self.original[attr] = obj_attr + # patch at top level + setattr(self.obj, attr, _PatchedModuleObj(obj_attr, attrs=self.attrs)) + patched = getattr(self.obj, attr) + # construct lower levels patches + for key in submodules[i + 1 :]: + setattr(patched, key, _PatchedModuleObj(getattr(patched, key, None), attrs=self.attrs)) + patched = getattr(patched, key) + # finally set the target attribute + setattr(patched, target_attr, self.new) + + # Patch attribute itself: + # it's used for builtins like "open", + # and also to patch "os.path.join" we may also need to patch "join" + # itself if it was imported as "from os.path import join". + + if submodules: # if it's an attribute of a submodule like "os.path.join" + try: + attr_value = getattr(import_module(".".join(submodules)), target_attr) + except (AttributeError, ModuleNotFoundError): + return + # We iterate over all the globals in self.obj in case we find "os.path.join" + for attr in self.obj.__dir__(): + # We don't check for the name of the global, but rather if its value *is* "os.path.join". + # This allows to patch renamed attributes like "from os.path import join as pjoin". + if getattr(self.obj, attr) is attr_value: + self.original[attr] = getattr(self.obj, attr) + setattr(self.obj, attr, self.new) + elif target_attr in globals()["__builtins__"]: # if it'a s builtin like "open" + self.original[target_attr] = globals()["__builtins__"][target_attr] + setattr(self.obj, target_attr, self.new) + else: + raise RuntimeError(f"Tried to patch attribute {target_attr} instead of a submodule.") + + def __exit__(self, *exc_info): + for attr in list(self.original): + setattr(self.obj, attr, self.original.pop(attr)) + + def start(self): + """Activate a patch.""" + self.__enter__() + self._active_patches.append(self) + + def stop(self): + """Stop an active patch.""" + try: + self._active_patches.remove(self) + except ValueError: + # If the patch hasn't been started this will fail + return None + + return self.__exit__() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/py_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/py_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..9d09b9b7e591ff119bc504aa5820ec5d585e0e80 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/py_utils.py @@ -0,0 +1,744 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""Some python utils function and classes.""" + +import copy +import functools +import itertools +import multiprocessing.pool +import os +import queue +import re +import types +import warnings +from collections.abc import Iterable +from contextlib import contextmanager +from dataclasses import fields, is_dataclass +from multiprocessing import Manager +from pathlib import Path +from queue import Empty +from shutil import disk_usage +from typing import Any, Callable, Optional, TypeVar, Union +from urllib.parse import urlparse + +import multiprocess +import multiprocess.pool +import numpy as np +from tqdm.auto import tqdm + +from .. import config +from ..parallel import parallel_map +from . import logging +from . import tqdm as hf_tqdm +from ._dill import ( # noqa: F401 # imported for backward compatibility. TODO: remove in 3.0.0 + Pickler, + dump, + dumps, + pklregister, +) +from ._filelock import FileLock + + +try: # pragma: no branch + from typing import Final + + import typing_extensions as _typing_extensions + from typing_extensions import Literal +except ImportError: + _typing_extensions = Literal = Final = None + + +logger = logging.get_logger(__name__) + + +# NOTE: When used on an instance method, the cache is shared across all +# instances and IS NOT per-instance. +# See +# https://stackoverflow.com/questions/14946264/python-lru-cache-decorator-per-instance +# For @property methods, use @memoized_property below. +memoize = functools.lru_cache + + +def size_str(size_in_bytes): + """Returns a human readable size string. + + If size_in_bytes is None, then returns "Unknown size". + + For example `size_str(1.5 * datasets.units.GiB) == "1.50 GiB"`. + + Args: + size_in_bytes: `int` or `None`, the size, in bytes, that we want to + format as a human-readable size string. + """ + if not size_in_bytes: + return "Unknown size" + + _NAME_LIST = [("PiB", 2**50), ("TiB", 2**40), ("GiB", 2**30), ("MiB", 2**20), ("KiB", 2**10)] + + size_in_bytes = float(size_in_bytes) + for name, size_bytes in _NAME_LIST: + value = size_in_bytes / size_bytes + if value >= 1.0: + return f"{value:.2f} {name}" + return f"{int(size_in_bytes)} bytes" + + +def convert_file_size_to_int(size: Union[int, str]) -> int: + """ + Converts a size expressed as a string with digits an unit (like `"50MB"`) to an integer (in bytes). + + Args: + size (`int` or `str`): The size to convert. Will be directly returned if an `int`. + + Example: + + ```py + >>> convert_file_size_to_int("1MiB") + 1048576 + ``` + """ + if isinstance(size, int): + return size + if size.upper().endswith("PIB"): + return int(size[:-3]) * (2**50) + if size.upper().endswith("TIB"): + return int(size[:-3]) * (2**40) + if size.upper().endswith("GIB"): + return int(size[:-3]) * (2**30) + if size.upper().endswith("MIB"): + return int(size[:-3]) * (2**20) + if size.upper().endswith("KIB"): + return int(size[:-3]) * (2**10) + if size.upper().endswith("PB"): + int_size = int(size[:-2]) * (10**15) + return int_size // 8 if size.endswith("b") else int_size + if size.upper().endswith("TB"): + int_size = int(size[:-2]) * (10**12) + return int_size // 8 if size.endswith("b") else int_size + if size.upper().endswith("GB"): + int_size = int(size[:-2]) * (10**9) + return int_size // 8 if size.endswith("b") else int_size + if size.upper().endswith("MB"): + int_size = int(size[:-2]) * (10**6) + return int_size // 8 if size.endswith("b") else int_size + if size.upper().endswith("KB"): + int_size = int(size[:-2]) * (10**3) + return int_size // 8 if size.endswith("b") else int_size + raise ValueError(f"`size={size}` is not in a valid format. Use an integer followed by the unit, e.g., '5GB'.") + + +def glob_pattern_to_regex(pattern): + # partially taken from fsspec: + # https://github.com/fsspec/filesystem_spec/blob/697d0f8133d8a5fbc3926e4761d7ecd51337ce50/fsspec/asyn.py#L735 + return ( + pattern.replace("\\", r"\\") + .replace(".", r"\.") + .replace("*", ".*") + .replace("+", r"\+") + .replace("//", "/") + .replace("(", r"\(") + .replace(")", r"\)") + .replace("|", r"\|") + .replace("^", r"\^") + .replace("$", r"\$") + .rstrip("/") + .replace("?", ".") + ) + + +def string_to_dict(string: str, pattern: str) -> Optional[dict[str, str]]: + """Un-format a string using a python f-string pattern. + From https://stackoverflow.com/a/36838374 + + Example:: + + >>> p = 'hello, my name is {name} and I am a {age} year old {what}' + >>> s = p.format(name='cody', age=18, what='quarterback') + >>> s + 'hello, my name is cody and I am a 18 year old quarterback' + >>> string_to_dict(s, p) + {'age': '18', 'name': 'cody', 'what': 'quarterback'} + + Args: + string (str): input string + pattern (str): pattern formatted like a python f-string + + Returns: + Optional[dict[str, str]]: dictionary of variable -> value, retrieved from the input using the pattern, or + `None` if the string does not match the pattern. + """ + pattern = re.sub(r"{([^:}]+)(?::[^}]+)?}", r"{\1}", pattern) # remove format specifiers, e.g. {rank:05d} -> {rank} + regex = re.sub(r"{(.+?)}", r"(?P<_\1>.+)", pattern) + result = re.search(regex, string) + if result is None: + return None + values = list(result.groups()) + keys = re.findall(r"{(.+?)}", pattern) + _dict = dict(zip(keys, values)) + return _dict + + +def asdict(obj): + """Convert an object to its dictionary representation recursively. + + + """ + + # Implementation based on https://docs.python.org/3/library/dataclasses.html#dataclasses.asdict + + def _is_dataclass_instance(obj): + # https://docs.python.org/3/library/dataclasses.html#dataclasses.is_dataclass + return is_dataclass(obj) and not isinstance(obj, type) + + def _asdict_inner(obj): + if _is_dataclass_instance(obj): + result = {} + for f in fields(obj): + value = _asdict_inner(getattr(obj, f.name)) + if not f.init or value != f.default or f.metadata.get("include_in_asdict_even_if_is_default", False): + result[f.name] = value + return result + elif isinstance(obj, tuple) and hasattr(obj, "_fields"): + # obj is a namedtuple + return type(obj)(*[_asdict_inner(v) for v in obj]) + elif isinstance(obj, (list, tuple)): + # Assume we can create an object of this type by passing in a + # generator (which is not true for namedtuples, handled + # above). + return type(obj)(_asdict_inner(v) for v in obj) + elif isinstance(obj, dict): + return {_asdict_inner(k): _asdict_inner(v) for k, v in obj.items()} + else: + return copy.deepcopy(obj) + + if not isinstance(obj, dict) and not _is_dataclass_instance(obj): + raise TypeError(f"{obj} is not a dict or a dataclass") + + return _asdict_inner(obj) + + +@contextmanager +def temporary_assignment(obj, attr, value): + """Temporarily assign obj.attr to value.""" + original = getattr(obj, attr, None) + setattr(obj, attr, value) + try: + yield + finally: + setattr(obj, attr, original) + + +@contextmanager +def temp_seed(seed: int, set_pytorch=False, set_tensorflow=False): + """Temporarily set the random seed. This works for python numpy, pytorch and tensorflow.""" + np_state = np.random.get_state() + np.random.seed(seed) + + if set_pytorch and config.TORCH_AVAILABLE: + import torch + + torch_state = torch.random.get_rng_state() + torch.random.manual_seed(seed) + + if torch.cuda.is_available(): + torch_cuda_states = torch.cuda.get_rng_state_all() + torch.cuda.manual_seed_all(seed) + + if set_tensorflow and config.TF_AVAILABLE: + import tensorflow as tf + from tensorflow.python.eager import context as tfpycontext + + tf_state = tf.random.get_global_generator() + temp_gen = tf.random.Generator.from_seed(seed) + tf.random.set_global_generator(temp_gen) + + if not tf.executing_eagerly(): + raise ValueError("Setting random seed for TensorFlow is only available in eager mode") + + tf_context = tfpycontext.context() # eager mode context + tf_seed = tf_context._seed + tf_rng_initialized = hasattr(tf_context, "_rng") + if tf_rng_initialized: + tf_rng = tf_context._rng + tf_context._set_global_seed(seed) + + try: + yield + finally: + np.random.set_state(np_state) + + if set_pytorch and config.TORCH_AVAILABLE: + torch.random.set_rng_state(torch_state) + if torch.cuda.is_available(): + torch.cuda.set_rng_state_all(torch_cuda_states) + + if set_tensorflow and config.TF_AVAILABLE: + tf.random.set_global_generator(tf_state) + + tf_context._seed = tf_seed + if tf_rng_initialized: + tf_context._rng = tf_rng + else: + delattr(tf_context, "_rng") + + +def unique_values(values): + """Iterate over iterable and return only unique values in order.""" + seen = set() + for value in values: + if value not in seen: + seen.add(value) + yield value + + +def no_op_if_value_is_null(func): + """If the value is None, return None, else call `func`.""" + + def wrapper(value): + return func(value) if value is not None else None + + return wrapper + + +def first_non_null_value(iterable): + """Return the index and the value of the first non-null value in the iterable. If all values are None, return -1 as index.""" + for i, value in enumerate(iterable): + if value is not None: + return i, value + return -1, None + + +def first_non_null_non_empty_value(iterable): + """Return the index and the value of the first non-null non-empty value in the iterable. If all values are None or empty, return -1 as index.""" + for i, value in enumerate(iterable): + if value is not None and not (isinstance(value, (dict, list)) and len(value) == 0): + return i, value + return -1, None + + +def zip_dict(*dicts): + """Iterate over items of dictionaries grouped by their keys.""" + for key in unique_values(itertools.chain(*dicts)): # set merge all keys + # Will raise KeyError if the dict don't have the same keys + yield key, tuple(d[key] for d in dicts) + + +class NonMutableDict(dict): + """Dict where keys can only be added but not modified. + + Will raise an error if the user try to overwrite one key. The error message + can be customized during construction. It will be formatted using {key} for + the overwritten key. + """ + + def __init__(self, *args, **kwargs): + self._error_msg = kwargs.pop( + "error_msg", + "Try to overwrite existing key: {key}", + ) + if kwargs: + raise ValueError("NonMutableDict cannot be initialized with kwargs.") + super().__init__(*args, **kwargs) + + def __setitem__(self, key, value): + if key in self: + raise ValueError(self._error_msg.format(key=key)) + return super().__setitem__(key, value) + + def update(self, other): + if any(k in self for k in other): + raise ValueError(self._error_msg.format(key=set(self) & set(other))) + return super().update(other) + + +class classproperty(property): # pylint: disable=invalid-name + """Descriptor to be used as decorator for @classmethods.""" + + def __get__(self, obj, objtype=None): + return self.fget.__get__(None, objtype)() + + +def _single_map_nested(args): + """Apply a function recursively to each element of a nested data struct.""" + function, data_struct, batched, batch_size, types, rank, disable_tqdm, desc = args + + # Singleton first to spare some computation + if not isinstance(data_struct, dict) and not isinstance(data_struct, types): + if batched: + return function([data_struct])[0] + else: + return function(data_struct) + if ( + batched + and not isinstance(data_struct, dict) + and isinstance(data_struct, types) + and all(not isinstance(v, (dict, types)) for v in data_struct) + ): + return [mapped_item for batch in iter_batched(data_struct, batch_size) for mapped_item in function(batch)] + + # Reduce logging to keep things readable in multiprocessing with tqdm + if rank is not None and logging.get_verbosity() < logging.WARNING: + logging.set_verbosity_warning() + # Print at least one thing to fix tqdm in notebooks in multiprocessing + # see https://github.com/tqdm/tqdm/issues/485#issuecomment-473338308 + if rank is not None and not disable_tqdm and any("notebook" in tqdm_cls.__name__ for tqdm_cls in tqdm.__mro__): + print(" ", end="", flush=True) + + # Loop over single examples or batches and write to buffer/file if examples are to be updated + pbar_iterable = data_struct.items() if isinstance(data_struct, dict) else data_struct + pbar_desc = (desc + " " if desc is not None else "") + "#" + str(rank) if rank is not None else desc + with hf_tqdm(pbar_iterable, disable=disable_tqdm, position=rank, unit="obj", desc=pbar_desc) as pbar: + if isinstance(data_struct, dict): + return { + k: _single_map_nested((function, v, batched, batch_size, types, None, True, None)) for k, v in pbar + } + else: + mapped = [_single_map_nested((function, v, batched, batch_size, types, None, True, None)) for v in pbar] + if isinstance(data_struct, list): + return mapped + elif isinstance(data_struct, tuple): + return tuple(mapped) + else: + return np.array(mapped) + + +def map_nested( + function: Callable[[Any], Any], + data_struct: Any, + dict_only: bool = False, + map_list: bool = True, + map_tuple: bool = False, + map_numpy: bool = False, + num_proc: Optional[int] = None, + parallel_min_length: int = 2, + batched: bool = False, + batch_size: Optional[int] = 1000, + types: Optional[tuple] = None, + disable_tqdm: bool = True, + desc: Optional[str] = None, +) -> Any: + """Apply a function recursively to each element of a nested data struct. + + Use multiprocessing if num_proc > 1 and the length of data_struct is greater than or equal to + `parallel_min_length`. + + + + Before version 2.5.0, multiprocessing was not used if `num_proc` was greater than or equal to ``len(iterable)``. + + Now, if `num_proc` is greater than or equal to ``len(iterable)``, `num_proc` is set to ``len(iterable)`` and + multiprocessing is used. + + + + Args: + function (`Callable`): Function to be applied to `data_struct`. + data_struct (`Any`): Data structure to apply `function` to. + dict_only (`bool`, default `False`): Whether only apply `function` recursively to `dict` values in + `data_struct`. + map_list (`bool`, default `True`): Whether also apply `function` recursively to `list` elements (besides `dict` + values). + map_tuple (`bool`, default `False`): Whether also apply `function` recursively to `tuple` elements (besides + `dict` values). + map_numpy (`bool, default `False`): Whether also apply `function` recursively to `numpy.array` elements (besides + `dict` values). + num_proc (`int`, *optional*): Number of processes. + The level in the data struct used for multiprocessing is the first level that has smaller sub-structs, + starting from the root. + parallel_min_length (`int`, default `2`): Minimum length of `data_struct` required for parallel + processing. + + batched (`bool`, defaults to `False`): + Provide batch of items to `function`. + + batch_size (`int`, *optional*, defaults to `1000`): + Number of items per batch provided to `function` if `batched=True`. + If `batch_size <= 0` or `batch_size == None`, provide the full iterable as a single batch to `function`. + + types (`tuple`, *optional*): Additional types (besides `dict` values) to apply `function` recursively to their + elements. + disable_tqdm (`bool`, default `True`): Whether to disable the tqdm progressbar. + desc (`str`, *optional*): Prefix for the tqdm progressbar. + + Returns: + `Any` + """ + if types is None: + types = [] + if not dict_only: + if map_list: + types.append(list) + if map_tuple: + types.append(tuple) + if map_numpy: + types.append(np.ndarray) + types = tuple(types) + + # Singleton + if not isinstance(data_struct, dict) and not isinstance(data_struct, types): + if batched: + data_struct = [data_struct] + mapped = function(data_struct) + if batched: + mapped = mapped[0] + return mapped + + iterable = list(data_struct.values()) if isinstance(data_struct, dict) else data_struct + + if num_proc is None: + num_proc = 1 + if any(isinstance(v, types) and len(v) > len(iterable) for v in iterable): + mapped = [ + map_nested( + function=function, + data_struct=obj, + num_proc=num_proc, + parallel_min_length=parallel_min_length, + batched=batched, + batch_size=batch_size, + types=types, + ) + for obj in iterable + ] + elif num_proc != -1 and num_proc <= 1 or len(iterable) < parallel_min_length: + if batched: + if batch_size is None or batch_size <= 0: + batch_size = max(len(iterable) // num_proc + int(len(iterable) % num_proc > 0), 1) + iterable = list(iter_batched(iterable, batch_size)) + mapped = [ + _single_map_nested((function, obj, batched, batch_size, types, None, True, None)) + for obj in hf_tqdm(iterable, disable=disable_tqdm, desc=desc) + ] + if batched: + mapped = [mapped_item for mapped_batch in mapped for mapped_item in mapped_batch] + else: + with warnings.catch_warnings(): + warnings.filterwarnings( + "ignore", + message=".* is experimental and might be subject to breaking changes in the future\\.$", + category=UserWarning, + ) + if batched: + if batch_size is None or batch_size <= 0: + batch_size = len(iterable) // num_proc + int(len(iterable) % num_proc > 0) + iterable = list(iter_batched(iterable, batch_size)) + mapped = parallel_map( + function, iterable, num_proc, batched, batch_size, types, disable_tqdm, desc, _single_map_nested + ) + if batched: + mapped = [mapped_item for mapped_batch in mapped for mapped_item in mapped_batch] + + if isinstance(data_struct, dict): + return dict(zip(data_struct.keys(), mapped)) + else: + if isinstance(data_struct, list): + return mapped + elif isinstance(data_struct, tuple): + return tuple(mapped) + else: + return np.array(mapped) + + +class NestedDataStructure: + def __init__(self, data=None): + self.data = data if data is not None else [] + + def flatten(self, data=None): + data = data if data is not None else self.data + if isinstance(data, dict): + return self.flatten(list(data.values())) + elif isinstance(data, (list, tuple)): + return [flattened for item in data for flattened in self.flatten(item)] + else: + return [data] + + +def has_sufficient_disk_space(needed_bytes, directory="."): + try: + free_bytes = disk_usage(os.path.abspath(directory)).free + except OSError: + return True + return needed_bytes < free_bytes + + +def _convert_github_url(url_path: str) -> tuple[str, Optional[str]]: + """Convert a link to a file on a github repo in a link to the raw github object.""" + parsed = urlparse(url_path) + sub_directory = None + if parsed.scheme in ("http", "https", "s3") and parsed.netloc == "github.com": + if "blob" in url_path: + if not url_path.endswith(".py"): + raise ValueError(f"External import from github at {url_path} should point to a file ending with '.py'") + url_path = url_path.replace("blob", "raw") # Point to the raw file + else: + # Parse github url to point to zip + github_path = parsed.path[1:] + repo_info, branch = github_path.split("/tree/") if "/tree/" in github_path else (github_path, "master") + repo_owner, repo_name = repo_info.split("/") + url_path = f"https://github.com/{repo_owner}/{repo_name}/archive/{branch}.zip" + sub_directory = f"{repo_name}-{branch}" + return url_path, sub_directory + + +def lock_importable_file(importable_local_file: str) -> FileLock: + # Check the directory with a unique name in our dataset folder + # path is: ./datasets/dataset_name/hash_from_code/script.py + # we use a hash as subdirectory_name to be able to have multiple versions of a dataset processing file together + importable_directory_path = str(Path(importable_local_file).resolve().parent.parent) + lock_path = importable_directory_path + ".lock" + return FileLock(lock_path) + + +def get_imports(file_path: str) -> tuple[str, str, str, str]: + """Find whether we should import or clone additional files for a given processing script. + And list the import. + + We allow: + - library dependencies, + - local dependencies and + - external dependencies whose url is specified with a comment starting from "# From:' followed by the raw url to a file, an archive or a github repository. + external dependencies will be downloaded (and extracted if needed in the dataset folder). + We also add an `__init__.py` to each sub-folder of a downloaded folder so the user can import from them in the script. + + Note that only direct import in the dataset processing script will be handled + We don't recursively explore the additional import to download further files. + + Example:: + + import tensorflow + import .c4_utils + import .clicr.dataset-code.build_json_dataset # From: https://raw.githubusercontent.com/clips/clicr/master/dataset-code/build_json_dataset + """ + lines = [] + with open(file_path, encoding="utf-8") as f: + lines.extend(f.readlines()) + + logger.debug(f"Checking {file_path} for additional imports.") + imports: list[tuple[str, str, str, Optional[str]]] = [] + is_in_docstring = False + for line in lines: + docstr_start_match = re.findall(r'[\s\S]*?"""[\s\S]*?', line) + + if len(docstr_start_match) == 1: + # flip True <=> False only if doctstring + # starts at line without finishing + is_in_docstring = not is_in_docstring + + if is_in_docstring: + # import statements in doctstrings should + # not be added as required dependencies + continue + + match = re.match(r"^import\s+(\.?)([^\s\.]+)[^#\r\n]*(?:#\s+From:\s+)?([^\r\n]*)", line, flags=re.MULTILINE) + if match is None: + match = re.match( + r"^from\s+(\.?)([^\s\.]+)(?:[^\s]*)\s+import\s+[^#\r\n]*(?:#\s+From:\s+)?([^\r\n]*)", + line, + flags=re.MULTILINE, + ) + if match is None: + continue + if match.group(1): + # The import starts with a '.', we will download the relevant file + if any(imp[1] == match.group(2) for imp in imports): + # We already have this import + continue + if match.group(3): + # The import has a comment with 'From:', we'll retrieve it from the given url + url_path = match.group(3) + url_path, sub_directory = _convert_github_url(url_path) + imports.append(("external", match.group(2), url_path, sub_directory)) + elif match.group(2): + # The import should be at the same place as the file + imports.append(("internal", match.group(2), match.group(2), None)) + else: + if match.group(3): + # The import has a comment with `From: git+https:...`, asks user to pip install from git. + url_path = match.group(3) + imports.append(("library", match.group(2), url_path, None)) + else: + imports.append(("library", match.group(2), match.group(2), None)) + + return imports + + +def copyfunc(func): + result = types.FunctionType(func.__code__, func.__globals__, func.__name__, func.__defaults__, func.__closure__) + result.__kwdefaults__ = func.__kwdefaults__ + return result + + +Y = TypeVar("Y") + + +def _write_generator_to_queue(queue: queue.Queue, func: Callable[..., Iterable[Y]], kwargs: dict) -> int: + for i, result in enumerate(func(**kwargs)): + queue.put(result) + return i + + +def _get_pool_pid(pool: Union[multiprocessing.pool.Pool, multiprocess.pool.Pool]) -> set[int]: + return {f.pid for f in pool._pool} + + +def iflatmap_unordered( + pool: Union[multiprocessing.pool.Pool, multiprocess.pool.Pool], + func: Callable[..., Iterable[Y]], + *, + kwargs_iterable: Iterable[dict], +) -> Iterable[Y]: + initial_pool_pid = _get_pool_pid(pool) + pool_changed = False + manager_cls = Manager if isinstance(pool, multiprocessing.pool.Pool) else multiprocess.Manager + with manager_cls() as manager: + queue = manager.Queue() + async_results = [ + pool.apply_async(_write_generator_to_queue, (queue, func, kwargs)) for kwargs in kwargs_iterable + ] + try: + while True: + try: + yield queue.get(timeout=0.05) + except Empty: + if all(async_result.ready() for async_result in async_results) and queue.empty(): + break + if _get_pool_pid(pool) != initial_pool_pid: + pool_changed = True + # One of the subprocesses has died. We should not wait forever. + raise RuntimeError( + "One of the subprocesses has abruptly died during map operation." + "To debug the error, disable multiprocessing." + ) + finally: + if not pool_changed: + # we get the result in case there's an error to raise + [async_result.get(timeout=0.05) for async_result in async_results] + + +T = TypeVar("T") + + +def iter_batched(iterable: Iterable[T], n: int) -> Iterable[list[T]]: + if n < 1: + raise ValueError(f"Invalid batch size {n}") + batch = [] + for item in iterable: + batch.append(item) + if len(batch) == n: + yield batch + batch = [] + if batch: + yield batch diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/creators.json b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/creators.json new file mode 100644 index 0000000000000000000000000000000000000000..d9e15f0039cc27ed8abd9fdf394423a3fada2c95 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/creators.json @@ -0,0 +1,17 @@ +{ + "language": [ + "found", + "crowdsourced", + "expert-generated", + "machine-generated", + "other" + ], + "annotations": [ + "found", + "crowdsourced", + "expert-generated", + "machine-generated", + "no-annotation", + "other" + ] +} diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/languages.json b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/languages.json new file mode 100644 index 0000000000000000000000000000000000000000..ea7686f956b898af3faf97b86be89b71d88855d4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/languages.json @@ -0,0 +1,8026 @@ +{ + "code": "Programming language (C++, Java, Javascript, Python, etc.)", + "aa": "Afar", + "aaa": "Ghotuo", + "aab": "Alumu-Tesu", + "aac": "Ari", + "aad": "Amal", + "aae": "Arbëreshë Albanian", + "aaf": "Aranadan", + "aag": "Ambrak", + "aah": "Abu' Arapesh", + "aai": "Arifama-Miniafia", + "aak": "Ankave", + "aal": "Afade", + "aan": "Anambé", + "aao": "Algerian Saharan Arabic", + "aap": "Pará Arára", + "aaq": "Eastern Abnaki", + "aas": "Aasáx", + "aat": "Arvanitika Albanian", + "aau": "Abau", + "aav": "Austro-Asiatic languages", + "aaw": "Solong", + "aax": "Mandobo Atas", + "aaz": "Amarasi", + "ab": "Abkhazian", + "aba": "Abé", + "abb": "Bankon", + "abc": "Ambala Ayta", + "abd": "Manide", + "abe": "Western Abnaki", + "abf": "Abai Sungai", + "abg": "Abaga", + "abh": "Tajiki Arabic", + "abi": "Abidji", + "abj": "Aka-Bea", + "abl": "Lampung Nyo", + "abm": "Abanyom", + "abn": "Abua", + "abo": "Abon", + "abp": "Abellen Ayta", + "abq": "Abaza", + "abr": "Abron", + "abs": "Ambonese Malay", + "abt": "Ambulas", + "abu": "Abure", + "abv": "Baharna Arabic", + "abw": "Pal", + "abx": "Inabaknon", + "aby": "Aneme Wake", + "abz": "Abui", + "aca": "Achagua", + "acb": "Áncá", + "acd": "Gikyode", + "ace": "Achinese", + "acf": "Saint Lucian Creole French", + "ach": "Acoli", + "aci": "Aka-Cari", + "ack": "Aka-Kora", + "acl": "Akar-Bale", + "acm": "Mesopotamian Arabic", + "acn": "Achang", + "acp": "Eastern Acipa", + "acq": "Ta'izzi-Adeni Arabic", + "acr": "Achi", + "acs": "Acroá", + "act": "Achterhoeks", + "acu": "Achuar-Shiwiar", + "acv": "Achumawi", + "acw": "Hijazi Arabic", + "acx": "Omani Arabic", + "acy": "Cypriot Arabic", + "acz": "Acheron", + "ada": "Adangme", + "adb": "Atauran", + "add": "Lidzonka; Dzodinka", + "ade": "Adele", + "adf": "Dhofari Arabic", + "adg": "Andegerebinha", + "adh": "Adhola", + "adi": "Adi", + "adj": "Adioukrou", + "adl": "Galo", + "adn": "Adang", + "ado": "Abu", + "adq": "Adangbe", + "adr": "Adonara", + "ads": "Adamorobe Sign Language", + "adt": "Adnyamathanha", + "adu": "Aduge", + "adw": "Amundava", + "adx": "Amdo Tibetan", + "ady": "Adyghe; Adygei", + "adz": "Adzera", + "ae": "Avestan", + "aea": "Areba", + "aeb": "Tunisian Arabic", + "aec": "Saidi Arabic", + "aed": "Argentine Sign Language", + "aee": "Northeast Pashai; Northeast Pashayi", + "aek": "Haeke", + "ael": "Ambele", + "aem": "Arem", + "aen": "Armenian Sign Language", + "aeq": "Aer", + "aer": "Eastern Arrernte", + "aes": "Alsea", + "aeu": "Akeu", + "aew": "Ambakich", + "aey": "Amele", + "aez": "Aeka", + "af": "Afrikaans", + "afa": "Afro-Asiatic languages", + "afb": "Gulf Arabic", + "afd": "Andai", + "afe": "Putukwam", + "afg": "Afghan Sign Language", + "afh": "Afrihili", + "afi": "Akrukay; Chini", + "afk": "Nanubae", + "afn": "Defaka", + "afo": "Eloyi", + "afp": "Tapei", + "afs": "Afro-Seminole Creole", + "aft": "Afitti", + "afu": "Awutu", + "afz": "Obokuitai", + "aga": "Aguano", + "agb": "Legbo", + "agc": "Agatu", + "agd": "Agarabi", + "age": "Angal", + "agf": "Arguni", + "agg": "Angor", + "agh": "Ngelima", + "agi": "Agariya", + "agj": "Argobba", + "agk": "Isarog Agta", + "agl": "Fembe", + "agm": "Angaataha", + "agn": "Agutaynen", + "ago": "Tainae", + "agq": "Aghem", + "agr": "Aguaruna", + "ags": "Esimbi", + "agt": "Central Cagayan Agta", + "agu": "Aguacateco", + "agv": "Remontado Dumagat", + "agw": "Kahua", + "agx": "Aghul", + "agy": "Southern Alta", + "agz": "Mt. Iriga Agta", + "aha": "Ahanta", + "ahb": "Axamb", + "ahg": "Qimant", + "ahh": "Aghu", + "ahi": "Tiagbamrin Aizi", + "ahk": "Akha", + "ahl": "Igo", + "ahm": "Mobumrin Aizi", + "ahn": "Àhàn", + "aho": "Ahom", + "ahp": "Aproumu Aizi", + "ahr": "Ahirani", + "ahs": "Ashe", + "aht": "Ahtena", + "aia": "Arosi", + "aib": "Ainu (China)", + "aic": "Ainbai", + "aid": "Alngith", + "aie": "Amara", + "aif": "Agi", + "aig": "Antigua and Barbuda Creole English", + "aih": "Ai-Cham", + "aii": "Assyrian Neo-Aramaic", + "aij": "Lishanid Noshan", + "aik": "Ake", + "ail": "Aimele", + "aim": "Aimol", + "ain": "Ainu (Japan)", + "aio": "Aiton", + "aip": "Burumakok", + "aiq": "Aimaq", + "air": "Airoran", + "ait": "Arikem", + "aiw": "Aari", + "aix": "Aighon", + "aiy": "Ali", + "aja": "Aja (South Sudan)", + "ajg": "Aja (Benin)", + "aji": "Ajië", + "ajn": "Andajin", + "ajp": "South Levantine Arabic", + "ajs": "Algerian Jewish Sign Language", + "aju": "Judeo-Moroccan Arabic", + "ajw": "Ajawa", + "ajz": "Amri Karbi", + "ak": "Akan", + "akb": "Batak Angkola", + "akc": "Mpur", + "akd": "Ukpet-Ehom", + "ake": "Akawaio", + "akf": "Akpa", + "akg": "Anakalangu", + "akh": "Angal Heneng", + "aki": "Aiome", + "akj": "Aka-Jeru", + "akk": "Akkadian", + "akl": "Aklanon", + "akm": "Aka-Bo", + "ako": "Akurio", + "akp": "Siwu", + "akq": "Ak", + "akr": "Araki", + "aks": "Akaselem", + "akt": "Akolet", + "aku": "Akum", + "akv": "Akhvakh", + "akw": "Akwa", + "akx": "Aka-Kede", + "aky": "Aka-Kol", + "akz": "Alabama", + "ala": "Alago", + "alc": "Qawasqar", + "ald": "Alladian", + "ale": "Aleut", + "alf": "Alege", + "alg": "Algonquian languages", + "alh": "Alawa", + "ali": "Amaimon", + "alj": "Alangan", + "alk": "Alak", + "all": "Allar", + "alm": "Amblong", + "aln": "Gheg Albanian", + "alo": "Larike-Wakasihu", + "alp": "Alune", + "alq": "Algonquin", + "alr": "Alutor", + "als": "Tosk Albanian", + "alt": "Southern Altai", + "alu": "'Are'are", + "alv": "Atlantic-Congo languages", + "alw": "Alaba-K’abeena; Wanbasana", + "alx": "Amol", + "aly": "Alyawarr", + "alz": "Alur", + "am": "Amharic", + "ama": "Amanayé", + "amb": "Ambo", + "amc": "Amahuaca", + "ame": "Yanesha'", + "amf": "Hamer-Banna", + "amg": "Amurdak", + "ami": "Amis", + "amj": "Amdang", + "amk": "Ambai", + "aml": "War-Jaintia", + "amm": "Ama (Papua New Guinea)", + "amn": "Amanab", + "amo": "Amo", + "amp": "Alamblak", + "amq": "Amahai", + "amr": "Amarakaeri", + "ams": "Southern Amami-Oshima", + "amt": "Amto", + "amu": "Guerrero Amuzgo", + "amv": "Ambelau", + "amw": "Western Neo-Aramaic", + "amx": "Anmatyerre", + "amy": "Ami", + "amz": "Atampaya", + "an": "Aragonese", + "ana": "Andaqui", + "anb": "Andoa", + "anc": "Ngas", + "and": "Ansus", + "ane": "Xârâcùù", + "anf": "Animere", + "ang": "Old English (ca. 450-1100)", + "anh": "Nend", + "ani": "Andi", + "anj": "Anor", + "ank": "Goemai", + "anl": "Anu-Hkongso Chin", + "anm": "Anal", + "ann": "Obolo", + "ano": "Andoque", + "anp": "Angika", + "anq": "Jarawa (India)", + "anr": "Andh", + "ans": "Anserma", + "ant": "Antakarinya; Antikarinya", + "anu": "Anuak", + "anv": "Denya", + "anw": "Anaang", + "anx": "Andra-Hus", + "any": "Anyin", + "anz": "Anem", + "aoa": "Angolar", + "aob": "Abom", + "aoc": "Pemon", + "aod": "Andarum", + "aoe": "Angal Enen", + "aof": "Bragat", + "aog": "Angoram", + "aoi": "Anindilyakwa", + "aoj": "Mufian", + "aok": "Arhö", + "aol": "Alor", + "aom": "Ömie", + "aon": "Bumbita Arapesh", + "aor": "Aore", + "aos": "Taikat", + "aot": "Atong (India); A'tong", + "aou": "A'ou", + "aox": "Atorada", + "aoz": "Uab Meto", + "apa": "Apache languages", + "apb": "Sa'a", + "apc": "North Levantine Arabic", + "apd": "Sudanese Arabic", + "ape": "Bukiyip", + "apf": "Pahanan Agta", + "apg": "Ampanang", + "aph": "Athpariya", + "api": "Apiaká", + "apj": "Jicarilla Apache", + "apk": "Kiowa Apache", + "apl": "Lipan Apache", + "apm": "Mescalero-Chiricahua Apache", + "apn": "Apinayé", + "apo": "Ambul", + "app": "Apma", + "apq": "A-Pucikwar", + "apr": "Arop-Lokep", + "aps": "Arop-Sissano", + "apt": "Apatani", + "apu": "Apurinã", + "apv": "Alapmunte", + "apw": "Western Apache", + "apx": "Aputai", + "apy": "Apalaí", + "apz": "Safeyoka", + "aqa": "Alacalufan languages", + "aqc": "Archi", + "aqd": "Ampari Dogon", + "aqg": "Arigidi", + "aqk": "Aninka", + "aql": "Algic languages", + "aqm": "Atohwaim", + "aqn": "Northern Alta", + "aqp": "Atakapa", + "aqr": "Arhâ", + "aqt": "Angaité", + "aqz": "Akuntsu", + "ar": "Arabic", + "arb": "Standard Arabic", + "arc": "Official Aramaic (700-300 BCE); Imperial Aramaic (700-300 BCE)", + "ard": "Arabana", + "are": "Western Arrarnta", + "arh": "Arhuaco", + "ari": "Arikara", + "arj": "Arapaso", + "ark": "Arikapú", + "arl": "Arabela", + "arn": "Mapudungun; Mapuche", + "aro": "Araona", + "arp": "Arapaho", + "arq": "Algerian Arabic", + "arr": "Karo (Brazil)", + "ars": "Najdi Arabic", + "art": "Artificial languages", + "aru": "Aruá (Amazonas State); Arawá", + "arv": "Arbore", + "arw": "Arawak", + "arx": "Aruá (Rodonia State)", + "ary": "Moroccan Arabic", + "arz": "Egyptian Arabic", + "as": "Assamese", + "asa": "Asu (Tanzania)", + "asb": "Assiniboine", + "asc": "Casuarina Coast Asmat", + "ase": "American Sign Language", + "asf": "Auslan; Australian Sign Language", + "asg": "Cishingini", + "ash": "Abishira", + "asi": "Buruwai", + "asj": "Sari", + "ask": "Ashkun", + "asl": "Asilulu", + "asn": "Xingú Asuriní", + "aso": "Dano", + "asp": "Algerian Sign Language", + "asq": "Austrian Sign Language", + "asr": "Asuri", + "ass": "Ipulo", + "ast": "Asturian; Asturleonese; Bable; Leonese", + "asu": "Tocantins Asurini", + "asv": "Asoa", + "asw": "Australian Aborigines Sign Language", + "asx": "Muratayak", + "asy": "Yaosakor Asmat", + "asz": "As", + "ata": "Pele-Ata", + "atb": "Zaiwa", + "atc": "Atsahuaca", + "atd": "Ata Manobo", + "ate": "Atemble", + "atg": "Ivbie North-Okpela-Arhe", + "ath": "Athapascan languages", + "ati": "Attié", + "atj": "Atikamekw", + "atk": "Ati", + "atl": "Mt. Iraya Agta", + "atm": "Ata", + "atn": "Ashtiani", + "ato": "Atong (Cameroon)", + "atp": "Pudtol Atta", + "atq": "Aralle-Tabulahan", + "atr": "Waimiri-Atroari", + "ats": "Gros Ventre", + "att": "Pamplona Atta", + "atu": "Reel", + "atv": "Northern Altai", + "atw": "Atsugewi", + "atx": "Arutani", + "aty": "Aneityum", + "atz": "Arta", + "aua": "Asumboa", + "aub": "Alugu", + "auc": "Waorani", + "aud": "Anuta", + "auf": "Arauan languages", + "aug": "Aguna", + "auh": "Aushi", + "aui": "Anuki", + "auj": "Awjilah", + "auk": "Heyo", + "aul": "Aulua", + "aum": "Asu (Nigeria)", + "aun": "Molmo One", + "auo": "Auyokawa", + "aup": "Makayam", + "auq": "Anus; Korur", + "aur": "Aruek", + "aus": "Australian languages", + "aut": "Austral", + "auu": "Auye", + "auw": "Awyi", + "aux": "Aurá", + "auy": "Awiyaana", + "auz": "Uzbeki Arabic", + "av": "Avaric", + "avb": "Avau", + "avd": "Alviri-Vidari", + "avi": "Avikam", + "avk": "Kotava", + "avl": "Eastern Egyptian Bedawi Arabic", + "avm": "Angkamuthi", + "avn": "Avatime", + "avo": "Agavotaguerra", + "avs": "Aushiri", + "avt": "Au", + "avu": "Avokaya", + "avv": "Avá-Canoeiro", + "awa": "Awadhi", + "awb": "Awa (Papua New Guinea)", + "awc": "Cicipu", + "awd": "Arawakan languages", + "awe": "Awetí", + "awg": "Anguthimri", + "awh": "Awbono", + "awi": "Aekyom", + "awk": "Awabakal", + "awm": "Arawum", + "awn": "Awngi", + "awo": "Awak", + "awr": "Awera", + "aws": "South Awyu", + "awt": "Araweté", + "awu": "Central Awyu", + "awv": "Jair Awyu", + "aww": "Awun", + "awx": "Awara", + "awy": "Edera Awyu", + "axb": "Abipon", + "axe": "Ayerrerenge", + "axg": "Mato Grosso Arára", + "axk": "Yaka (Central African Republic)", + "axl": "Lower Southern Aranda", + "axm": "Middle Armenian", + "axx": "Xârâgurè", + "ay": "Aymara", + "aya": "Awar", + "ayb": "Ayizo Gbe", + "ayc": "Southern Aymara", + "ayd": "Ayabadhu", + "aye": "Ayere", + "ayg": "Ginyanga", + "ayh": "Hadrami Arabic", + "ayi": "Leyigha", + "ayk": "Akuku", + "ayl": "Libyan Arabic", + "ayn": "Sanaani Arabic", + "ayo": "Ayoreo", + "ayp": "North Mesopotamian Arabic", + "ayq": "Ayi (Papua New Guinea)", + "ayr": "Central Aymara", + "ays": "Sorsogon Ayta", + "ayt": "Magbukun Ayta", + "ayu": "Ayu", + "ayz": "Mai Brat", + "az": "Azerbaijani", + "aza": "Azha", + "azb": "South Azerbaijani", + "azc": "Uto-Aztecan languages", + "azd": "Eastern Durango Nahuatl", + "azg": "San Pedro Amuzgos Amuzgo", + "azj": "North Azerbaijani", + "azm": "Ipalapa Amuzgo", + "azn": "Western Durango Nahuatl", + "azo": "Awing", + "azt": "Faire Atta", + "azz": "Highland Puebla Nahuatl", + "ba": "Bashkir", + "baa": "Babatana", + "bab": "Bainouk-Gunyuño", + "bac": "Badui", + "bad": "Banda languages", + "bae": "Baré", + "baf": "Nubaca", + "bag": "Tuki", + "bah": "Bahamas Creole English", + "bai": "Bamileke languages", + "baj": "Barakai", + "bal": "Baluchi", + "ban": "Balinese", + "bao": "Waimaha", + "bap": "Bantawa", + "bar": "Bavarian", + "bas": "Basa (Cameroon)", + "bat": "Baltic languages", + "bau": "Bada (Nigeria)", + "bav": "Vengo", + "baw": "Bambili-Bambui", + "bax": "Bamun", + "bay": "Batuley", + "bba": "Baatonum", + "bbb": "Barai", + "bbc": "Batak Toba", + "bbd": "Bau", + "bbe": "Bangba", + "bbf": "Baibai", + "bbg": "Barama", + "bbh": "Bugan", + "bbi": "Barombi", + "bbj": "Ghomálá'", + "bbk": "Babanki", + "bbl": "Bats", + "bbm": "Babango", + "bbn": "Uneapa", + "bbo": "Northern Bobo Madaré; Konabéré", + "bbp": "West Central Banda", + "bbq": "Bamali", + "bbr": "Girawa", + "bbs": "Bakpinka", + "bbt": "Mburku", + "bbu": "Kulung (Nigeria)", + "bbv": "Karnai", + "bbw": "Baba", + "bbx": "Bubia", + "bby": "Befang", + "bca": "Central Bai", + "bcb": "Bainouk-Samik", + "bcc": "Southern Balochi", + "bcd": "North Babar", + "bce": "Bamenyam", + "bcf": "Bamu", + "bcg": "Baga Pokur", + "bch": "Bariai", + "bci": "Baoulé", + "bcj": "Bardi", + "bck": "Bunuba", + "bcl": "Central Bikol", + "bcm": "Bannoni", + "bcn": "Bali (Nigeria)", + "bco": "Kaluli", + "bcp": "Bali (Democratic Republic of Congo)", + "bcq": "Bench", + "bcr": "Babine", + "bcs": "Kohumono", + "bct": "Bendi", + "bcu": "Awad Bing", + "bcv": "Shoo-Minda-Nye", + "bcw": "Bana", + "bcy": "Bacama", + "bcz": "Bainouk-Gunyaamolo", + "bda": "Bayot", + "bdb": "Basap", + "bdc": "Emberá-Baudó", + "bdd": "Bunama", + "bde": "Bade", + "bdf": "Biage", + "bdg": "Bonggi", + "bdh": "Baka (South Sudan)", + "bdi": "Burun", + "bdj": "Bai (South Sudan); Bai", + "bdk": "Budukh", + "bdl": "Indonesian Bajau", + "bdm": "Buduma", + "bdn": "Baldemu", + "bdo": "Morom", + "bdp": "Bende", + "bdq": "Bahnar", + "bdr": "West Coast Bajau", + "bds": "Burunge", + "bdt": "Bokoto", + "bdu": "Oroko", + "bdv": "Bodo Parja", + "bdw": "Baham", + "bdx": "Budong-Budong", + "bdy": "Bandjalang", + "bdz": "Badeshi", + "be": "Belarusian", + "bea": "Beaver", + "beb": "Bebele", + "bec": "Iceve-Maci", + "bed": "Bedoanas", + "bee": "Byangsi", + "bef": "Benabena", + "beg": "Belait", + "beh": "Biali", + "bei": "Bekati'", + "bej": "Beja; Bedawiyet", + "bek": "Bebeli", + "bem": "Bemba (Zambia)", + "beo": "Beami", + "bep": "Besoa", + "beq": "Beembe", + "ber": "Berber languages", + "bes": "Besme", + "bet": "Guiberoua Béte", + "beu": "Blagar", + "bev": "Daloa Bété", + "bew": "Betawi", + "bex": "Jur Modo", + "bey": "Beli (Papua New Guinea)", + "bez": "Bena (Tanzania)", + "bfa": "Bari", + "bfb": "Pauri Bareli", + "bfc": "Panyi Bai; Northern Bai", + "bfd": "Bafut", + "bfe": "Betaf; Tena", + "bff": "Bofi", + "bfg": "Busang Kayan", + "bfh": "Blafe", + "bfi": "British Sign Language", + "bfj": "Bafanji", + "bfk": "Ban Khor Sign Language", + "bfl": "Banda-Ndélé", + "bfm": "Mmen", + "bfn": "Bunak", + "bfo": "Malba Birifor", + "bfp": "Beba", + "bfq": "Badaga", + "bfr": "Bazigar", + "bfs": "Southern Bai", + "bft": "Balti", + "bfu": "Gahri", + "bfw": "Bondo", + "bfx": "Bantayanon", + "bfy": "Bagheli", + "bfz": "Mahasu Pahari", + "bg": "Bulgarian", + "bga": "Gwamhi-Wuri", + "bgb": "Bobongko", + "bgc": "Haryanvi", + "bgd": "Rathwi Bareli", + "bge": "Bauria", + "bgf": "Bangandu", + "bgg": "Bugun", + "bgi": "Giangan", + "bgj": "Bangolan", + "bgk": "Bit; Buxinhua", + "bgl": "Bo (Laos)", + "bgn": "Western Balochi", + "bgo": "Baga Koga", + "bgp": "Eastern Balochi", + "bgq": "Bagri", + "bgr": "Bawm Chin", + "bgs": "Tagabawa", + "bgt": "Bughotu", + "bgu": "Mbongno", + "bgv": "Warkay-Bipim", + "bgw": "Bhatri", + "bgx": "Balkan Gagauz Turkish", + "bgy": "Benggoi", + "bgz": "Banggai", + "bh": "Bihari languages", + "bha": "Bharia", + "bhb": "Bhili", + "bhc": "Biga", + "bhd": "Bhadrawahi", + "bhe": "Bhaya", + "bhf": "Odiai", + "bhg": "Binandere", + "bhh": "Bukharic", + "bhi": "Bhilali", + "bhj": "Bahing", + "bhl": "Bimin", + "bhm": "Bathari", + "bhn": "Bohtan Neo-Aramaic", + "bho": "Bhojpuri", + "bhp": "Bima", + "bhq": "Tukang Besi South", + "bhr": "Bara Malagasy", + "bhs": "Buwal", + "bht": "Bhattiyali", + "bhu": "Bhunjia", + "bhv": "Bahau", + "bhw": "Biak", + "bhx": "Bhalay", + "bhy": "Bhele", + "bhz": "Bada (Indonesia)", + "bi": "Bislama", + "bia": "Badimaya", + "bib": "Bissa; Bisa", + "bid": "Bidiyo", + "bie": "Bepour", + "bif": "Biafada", + "big": "Biangai", + "bik": "Bikol", + "bil": "Bile", + "bim": "Bimoba", + "bin": "Bini; Edo", + "bio": "Nai", + "bip": "Bila", + "biq": "Bipi", + "bir": "Bisorio", + "bit": "Berinomo", + "biu": "Biete", + "biv": "Southern Birifor", + "biw": "Kol (Cameroon)", + "bix": "Bijori", + "biy": "Birhor", + "biz": "Baloi", + "bja": "Budza", + "bjb": "Banggarla", + "bjc": "Bariji", + "bje": "Biao-Jiao Mien", + "bjf": "Barzani Jewish Neo-Aramaic", + "bjg": "Bidyogo", + "bjh": "Bahinemo", + "bji": "Burji", + "bjj": "Kanauji", + "bjk": "Barok", + "bjl": "Bulu (Papua New Guinea)", + "bjm": "Bajelani", + "bjn": "Banjar", + "bjo": "Mid-Southern Banda", + "bjp": "Fanamaket", + "bjr": "Binumarien", + "bjs": "Bajan", + "bjt": "Balanta-Ganja", + "bju": "Busuu", + "bjv": "Bedjond", + "bjw": "Bakwé", + "bjx": "Banao Itneg", + "bjy": "Bayali", + "bjz": "Baruga", + "bka": "Kyak", + "bkc": "Baka (Cameroon)", + "bkd": "Binukid; Talaandig", + "bkf": "Beeke", + "bkg": "Buraka", + "bkh": "Bakoko", + "bki": "Baki", + "bkj": "Pande", + "bkk": "Brokskat", + "bkl": "Berik", + "bkm": "Kom (Cameroon)", + "bkn": "Bukitan", + "bko": "Kwa'", + "bkp": "Boko (Democratic Republic of Congo)", + "bkq": "Bakairí", + "bkr": "Bakumpai", + "bks": "Northern Sorsoganon", + "bkt": "Boloki", + "bku": "Buhid", + "bkv": "Bekwarra", + "bkw": "Bekwel", + "bkx": "Baikeno", + "bky": "Bokyi", + "bkz": "Bungku", + "bla": "Siksika", + "blb": "Bilua", + "blc": "Bella Coola", + "bld": "Bolango", + "ble": "Balanta-Kentohe", + "blf": "Buol", + "blh": "Kuwaa", + "bli": "Bolia", + "blj": "Bolongan", + "blk": "Pa'o Karen; Pa'O", + "bll": "Biloxi", + "blm": "Beli (South Sudan)", + "bln": "Southern Catanduanes Bikol", + "blo": "Anii", + "blp": "Blablanga", + "blq": "Baluan-Pam", + "blr": "Blang", + "bls": "Balaesang", + "blt": "Tai Dam", + "blv": "Kibala; Bolo", + "blw": "Balangao", + "blx": "Mag-Indi Ayta", + "bly": "Notre", + "blz": "Balantak", + "bm": "Bambara", + "bma": "Lame", + "bmb": "Bembe", + "bmc": "Biem", + "bmd": "Baga Manduri", + "bme": "Limassa", + "bmf": "Bom-Kim", + "bmg": "Bamwe", + "bmh": "Kein", + "bmi": "Bagirmi", + "bmj": "Bote-Majhi", + "bmk": "Ghayavi", + "bml": "Bomboli", + "bmm": "Northern Betsimisaraka Malagasy", + "bmn": "Bina (Papua New Guinea)", + "bmo": "Bambalang", + "bmp": "Bulgebi", + "bmq": "Bomu", + "bmr": "Muinane", + "bms": "Bilma Kanuri", + "bmt": "Biao Mon", + "bmu": "Somba-Siawari", + "bmv": "Bum", + "bmw": "Bomwali", + "bmx": "Baimak", + "bmz": "Baramu", + "bn": "Bengali; Bangla", + "bna": "Bonerate", + "bnb": "Bookan", + "bnc": "Bontok", + "bnd": "Banda (Indonesia)", + "bne": "Bintauna", + "bnf": "Masiwang", + "bng": "Benga", + "bni": "Bangi", + "bnj": "Eastern Tawbuid", + "bnk": "Bierebo", + "bnl": "Boon", + "bnm": "Batanga", + "bnn": "Bunun", + "bno": "Bantoanon", + "bnp": "Bola", + "bnq": "Bantik", + "bnr": "Butmas-Tur", + "bns": "Bundeli", + "bnt": "Bantu languages", + "bnu": "Bentong", + "bnv": "Bonerif; Beneraf; Edwas", + "bnw": "Bisis", + "bnx": "Bangubangu", + "bny": "Bintulu", + "bnz": "Beezen", + "bo": "Tibetan", + "boa": "Bora", + "bob": "Aweer", + "boe": "Mundabli", + "bof": "Bolon", + "bog": "Bamako Sign Language", + "boh": "Boma", + "boi": "Barbareño", + "boj": "Anjam", + "bok": "Bonjo", + "bol": "Bole", + "bom": "Berom", + "bon": "Bine", + "boo": "Tiemacèwè Bozo", + "bop": "Bonkiman", + "boq": "Bogaya", + "bor": "Borôro", + "bot": "Bongo", + "bou": "Bondei", + "bov": "Tuwuli", + "bow": "Rema", + "box": "Buamu", + "boy": "Bodo (Central African Republic)", + "boz": "Tiéyaxo Bozo", + "bpa": "Daakaka", + "bpc": "Mbuk", + "bpd": "Banda-Banda", + "bpe": "Bauni", + "bpg": "Bonggo", + "bph": "Botlikh", + "bpi": "Bagupi", + "bpj": "Binji", + "bpk": "Orowe; 'Ôrôê", + "bpl": "Broome Pearling Lugger Pidgin", + "bpm": "Biyom", + "bpn": "Dzao Min", + "bpo": "Anasi", + "bpp": "Kaure", + "bpq": "Banda Malay", + "bpr": "Koronadal Blaan", + "bps": "Sarangani Blaan", + "bpt": "Barrow Point", + "bpu": "Bongu", + "bpv": "Bian Marind", + "bpw": "Bo (Papua New Guinea)", + "bpx": "Palya Bareli", + "bpy": "Bishnupriya", + "bpz": "Bilba", + "bqa": "Tchumbuli", + "bqb": "Bagusa", + "bqc": "Boko (Benin); Boo", + "bqd": "Bung", + "bqf": "Baga Kaloum", + "bqg": "Bago-Kusuntu", + "bqh": "Baima", + "bqi": "Bakhtiari", + "bqj": "Bandial", + "bqk": "Banda-Mbrès", + "bql": "Bilakura", + "bqm": "Wumboko", + "bqn": "Bulgarian Sign Language", + "bqo": "Balo", + "bqp": "Busa", + "bqq": "Biritai", + "bqr": "Burusu", + "bqs": "Bosngun", + "bqt": "Bamukumbit", + "bqu": "Boguru", + "bqv": "Koro Wachi; Begbere-Ejar", + "bqw": "Buru (Nigeria)", + "bqx": "Baangi", + "bqy": "Bengkala Sign Language", + "bqz": "Bakaka", + "br": "Breton", + "bra": "Braj", + "brb": "Brao; Lave", + "brc": "Berbice Creole Dutch", + "brd": "Baraamu", + "brf": "Bira", + "brg": "Baure", + "brh": "Brahui", + "bri": "Mokpwe", + "brj": "Bieria", + "brk": "Birked", + "brl": "Birwa", + "brm": "Barambu", + "brn": "Boruca", + "bro": "Brokkat", + "brp": "Barapasi", + "brq": "Breri", + "brr": "Birao", + "brs": "Baras", + "brt": "Bitare", + "bru": "Eastern Bru", + "brv": "Western Bru", + "brw": "Bellari", + "brx": "Bodo (India)", + "bry": "Burui", + "brz": "Bilbil", + "bs": "Bosnian", + "bsa": "Abinomn", + "bsb": "Brunei Bisaya", + "bsc": "Bassari; Oniyan", + "bse": "Wushi", + "bsf": "Bauchi", + "bsg": "Bashkardi", + "bsh": "Kati", + "bsi": "Bassossi", + "bsj": "Bangwinji", + "bsk": "Burushaski", + "bsl": "Basa-Gumna", + "bsm": "Busami", + "bsn": "Barasana-Eduria", + "bso": "Buso", + "bsp": "Baga Sitemu", + "bsq": "Bassa", + "bsr": "Bassa-Kontagora", + "bss": "Akoose", + "bst": "Basketo", + "bsu": "Bahonsuai", + "bsv": "Baga Sobané", + "bsw": "Baiso", + "bsx": "Yangkam", + "bsy": "Sabah Bisaya", + "bta": "Bata", + "btc": "Bati (Cameroon)", + "btd": "Batak Dairi", + "bte": "Gamo-Ningi", + "btf": "Birgit", + "btg": "Gagnoa Bété", + "bth": "Biatah Bidayuh", + "bti": "Burate", + "btj": "Bacanese Malay", + "btk": "Batak languages", + "btm": "Batak Mandailing", + "btn": "Ratagnon", + "bto": "Rinconada Bikol", + "btp": "Budibud", + "btq": "Batek", + "btr": "Baetora", + "bts": "Batak Simalungun", + "btt": "Bete-Bendi", + "btu": "Batu", + "btv": "Bateri", + "btw": "Butuanon", + "btx": "Batak Karo", + "bty": "Bobot", + "btz": "Batak Alas-Kluet", + "bua": "Buriat", + "bub": "Bua", + "buc": "Bushi", + "bud": "Ntcham", + "bue": "Beothuk", + "buf": "Bushoong", + "bug": "Buginese", + "buh": "Younuo Bunu", + "bui": "Bongili", + "buj": "Basa-Gurmana", + "buk": "Bugawac", + "bum": "Bulu (Cameroon)", + "bun": "Sherbro", + "buo": "Terei", + "bup": "Busoa", + "buq": "Brem", + "bus": "Bokobaru", + "but": "Bungain", + "buu": "Budu", + "buv": "Bun", + "buw": "Bubi", + "bux": "Boghom", + "buy": "Bullom So", + "buz": "Bukwen", + "bva": "Barein", + "bvb": "Bube", + "bvc": "Baelelea", + "bvd": "Baeggu", + "bve": "Berau Malay", + "bvf": "Boor", + "bvg": "Bonkeng", + "bvh": "Bure", + "bvi": "Belanda Viri", + "bvj": "Baan", + "bvk": "Bukat", + "bvl": "Bolivian Sign Language", + "bvm": "Bamunka", + "bvn": "Buna", + "bvo": "Bolgo", + "bvp": "Bumang", + "bvq": "Birri", + "bvr": "Burarra", + "bvt": "Bati (Indonesia)", + "bvu": "Bukit Malay", + "bvv": "Baniva", + "bvw": "Boga", + "bvx": "Dibole", + "bvy": "Baybayanon", + "bvz": "Bauzi", + "bwa": "Bwatoo", + "bwb": "Namosi-Naitasiri-Serua", + "bwc": "Bwile", + "bwd": "Bwaidoka", + "bwe": "Bwe Karen", + "bwf": "Boselewa", + "bwg": "Barwe", + "bwh": "Bishuo", + "bwi": "Baniwa", + "bwj": "Láá Láá Bwamu", + "bwk": "Bauwaki", + "bwl": "Bwela", + "bwm": "Biwat", + "bwn": "Wunai Bunu", + "bwo": "Boro (Ethiopia); Borna (Ethiopia)", + "bwp": "Mandobo Bawah", + "bwq": "Southern Bobo Madaré", + "bwr": "Bura-Pabir", + "bws": "Bomboma", + "bwt": "Bafaw-Balong", + "bwu": "Buli (Ghana)", + "bww": "Bwa", + "bwx": "Bu-Nao Bunu", + "bwy": "Cwi Bwamu", + "bwz": "Bwisi", + "bxa": "Tairaha", + "bxb": "Belanda Bor", + "bxc": "Molengue", + "bxd": "Pela", + "bxe": "Birale", + "bxf": "Bilur; Minigir", + "bxg": "Bangala", + "bxh": "Buhutu", + "bxi": "Pirlatapa", + "bxj": "Bayungu", + "bxk": "Bukusu; Lubukusu", + "bxl": "Jalkunan", + "bxm": "Mongolia Buriat", + "bxn": "Burduna", + "bxo": "Barikanchi", + "bxp": "Bebil", + "bxq": "Beele", + "bxr": "Russia Buriat", + "bxs": "Busam", + "bxu": "China Buriat", + "bxv": "Berakou", + "bxw": "Bankagooma", + "bxz": "Binahari", + "bya": "Batak", + "byb": "Bikya", + "byc": "Ubaghara", + "byd": "Benyadu'", + "bye": "Pouye", + "byf": "Bete", + "byg": "Baygo", + "byh": "Bhujel", + "byi": "Buyu", + "byj": "Bina (Nigeria)", + "byk": "Biao", + "byl": "Bayono", + "bym": "Bidjara", + "byn": "Bilin; Blin", + "byo": "Biyo", + "byp": "Bumaji", + "byq": "Basay", + "byr": "Baruya; Yipma", + "bys": "Burak", + "byt": "Berti", + "byv": "Medumba", + "byw": "Belhariya", + "byx": "Qaqet", + "byz": "Banaro", + "bza": "Bandi", + "bzb": "Andio", + "bzc": "Southern Betsimisaraka Malagasy", + "bzd": "Bribri", + "bze": "Jenaama Bozo", + "bzf": "Boikin", + "bzg": "Babuza", + "bzh": "Mapos Buang", + "bzi": "Bisu", + "bzj": "Belize Kriol English", + "bzk": "Nicaragua Creole English", + "bzl": "Boano (Sulawesi)", + "bzm": "Bolondo", + "bzn": "Boano (Maluku)", + "bzo": "Bozaba", + "bzp": "Kemberano", + "bzq": "Buli (Indonesia)", + "bzr": "Biri", + "bzs": "Brazilian Sign Language", + "bzt": "Brithenig", + "bzu": "Burmeso", + "bzv": "Naami", + "bzw": "Basa (Nigeria)", + "bzx": "Kɛlɛngaxo Bozo", + "bzy": "Obanliku", + "bzz": "Evant", + "ca": "Catalan; Valencian", + "caa": "Chortí", + "cab": "Garifuna", + "cac": "Chuj", + "cad": "Caddo", + "cae": "Lehar; Laalaa", + "caf": "Southern Carrier", + "cag": "Nivaclé", + "cah": "Cahuarano", + "cai": "Central American Indian languages", + "caj": "Chané", + "cak": "Kaqchikel; Cakchiquel", + "cal": "Carolinian", + "cam": "Cemuhî", + "can": "Chambri", + "cao": "Chácobo", + "cap": "Chipaya", + "caq": "Car Nicobarese", + "car": "Galibi Carib", + "cas": "Tsimané", + "cau": "Caucasian languages", + "cav": "Cavineña", + "caw": "Callawalla", + "cax": "Chiquitano", + "cay": "Cayuga", + "caz": "Canichana", + "cba": "Chibchan languages", + "cbb": "Cabiyarí", + "cbc": "Carapana", + "cbd": "Carijona", + "cbg": "Chimila", + "cbi": "Chachi", + "cbj": "Ede Cabe", + "cbk": "Chavacano", + "cbl": "Bualkhaw Chin", + "cbn": "Nyahkur", + "cbo": "Izora", + "cbq": "Tsucuba; Cuba", + "cbr": "Cashibo-Cacataibo", + "cbs": "Cashinahua", + "cbt": "Chayahuita", + "cbu": "Candoshi-Shapra", + "cbv": "Cacua", + "cbw": "Kinabalian", + "cby": "Carabayo", + "ccc": "Chamicuro", + "ccd": "Cafundo Creole", + "cce": "Chopi", + "ccg": "Samba Daka", + "cch": "Atsam", + "ccj": "Kasanga", + "ccl": "Cutchi-Swahili", + "ccm": "Malaccan Creole Malay", + "ccn": "North Caucasian languages", + "cco": "Comaltepec Chinantec", + "ccp": "Chakma", + "ccr": "Cacaopera", + "ccs": "South Caucasian languages", + "cda": "Choni", + "cdc": "Chadic languages", + "cdd": "Caddoan languages", + "cde": "Chenchu", + "cdf": "Chiru", + "cdh": "Chambeali", + "cdi": "Chodri", + "cdj": "Churahi", + "cdm": "Chepang", + "cdn": "Chaudangsi", + "cdo": "Min Dong Chinese", + "cdr": "Cinda-Regi-Tiyal", + "cds": "Chadian Sign Language", + "cdy": "Chadong", + "cdz": "Koda", + "ce": "Chechen", + "cea": "Lower Chehalis", + "ceb": "Cebuano", + "ceg": "Chamacoco", + "cek": "Eastern Khumi Chin", + "cel": "Celtic languages", + "cen": "Cen", + "cet": "Centúúm", + "cey": "Ekai Chin", + "cfa": "Dijim-Bwilim", + "cfd": "Cara", + "cfg": "Como Karim", + "cfm": "Falam Chin", + "cga": "Changriwa", + "cgc": "Kagayanen", + "cgg": "Chiga", + "cgk": "Chocangacakha", + "ch": "Chamorro", + "chb": "Chibcha", + "chc": "Catawba", + "chd": "Highland Oaxaca Chontal", + "chf": "Tabasco Chontal", + "chg": "Chagatai", + "chh": "Chinook", + "chj": "Ojitlán Chinantec", + "chk": "Chuukese", + "chl": "Cahuilla", + "chm": "Mari (Russia)", + "chn": "Chinook jargon", + "cho": "Choctaw", + "chp": "Chipewyan; Dene Suline", + "chq": "Quiotepec Chinantec", + "chr": "Cherokee", + "cht": "Cholón", + "chw": "Chuwabu", + "chx": "Chantyal", + "chy": "Cheyenne", + "chz": "Ozumacín Chinantec", + "cia": "Cia-Cia", + "cib": "Ci Gbe", + "cic": "Chickasaw", + "cid": "Chimariko", + "cie": "Cineni", + "cih": "Chinali", + "cik": "Chitkuli Kinnauri", + "cim": "Cimbrian", + "cin": "Cinta Larga", + "cip": "Chiapanec", + "cir": "Tiri; Haméa; Méa", + "ciw": "Chippewa", + "ciy": "Chaima", + "cja": "Western Cham", + "cje": "Chru", + "cjh": "Upper Chehalis", + "cji": "Chamalal", + "cjk": "Chokwe", + "cjm": "Eastern Cham", + "cjn": "Chenapian", + "cjo": "Ashéninka Pajonal", + "cjp": "Cabécar", + "cjs": "Shor", + "cjv": "Chuave", + "cjy": "Jinyu Chinese", + "ckb": "Central Kurdish", + "ckh": "Chak", + "ckl": "Cibak", + "ckm": "Chakavian", + "ckn": "Kaang Chin", + "cko": "Anufo", + "ckq": "Kajakse", + "ckr": "Kairak", + "cks": "Tayo", + "ckt": "Chukot", + "cku": "Koasati", + "ckv": "Kavalan", + "ckx": "Caka", + "cky": "Cakfem-Mushere", + "ckz": "Cakchiquel-Quiché Mixed Language", + "cla": "Ron", + "clc": "Chilcotin", + "cld": "Chaldean Neo-Aramaic", + "cle": "Lealao Chinantec", + "clh": "Chilisso", + "cli": "Chakali", + "clj": "Laitu Chin", + "clk": "Idu-Mishmi", + "cll": "Chala", + "clm": "Clallam", + "clo": "Lowland Oaxaca Chontal", + "clt": "Lautu Chin", + "clu": "Caluyanun", + "clw": "Chulym", + "cly": "Eastern Highland Chatino", + "cma": "Maa", + "cmc": "Chamic languages", + "cme": "Cerma", + "cmg": "Classical Mongolian", + "cmi": "Emberá-Chamí", + "cml": "Campalagian", + "cmm": "Michigamea", + "cmn": "Mandarin Chinese", + "cmo": "Central Mnong", + "cmr": "Mro-Khimi Chin", + "cms": "Messapic", + "cmt": "Camtho", + "cna": "Changthang", + "cnb": "Chinbon Chin", + "cnc": "Côông", + "cng": "Northern Qiang", + "cnh": "Hakha Chin; Haka Chin", + "cni": "Asháninka", + "cnk": "Khumi Chin", + "cnl": "Lalana Chinantec", + "cno": "Con", + "cnp": "Northern Ping Chinese; Northern Pinghua", + "cnq": "Chung", + "cnr": "Montenegrin", + "cns": "Central Asmat", + "cnt": "Tepetotutla Chinantec", + "cnu": "Chenoua", + "cnw": "Ngawn Chin", + "cnx": "Middle Cornish", + "co": "Corsican", + "coa": "Cocos Islands Malay", + "cob": "Chicomuceltec", + "coc": "Cocopa", + "cod": "Cocama-Cocamilla", + "coe": "Koreguaje", + "cof": "Colorado", + "cog": "Chong", + "coh": "Chonyi-Dzihana-Kauma; Chichonyi-Chidzihana-Chikauma", + "coj": "Cochimi", + "cok": "Santa Teresa Cora", + "col": "Columbia-Wenatchi", + "com": "Comanche", + "con": "Cofán", + "coo": "Comox", + "cop": "Coptic", + "coq": "Coquille", + "cot": "Caquinte", + "cou": "Wamey", + "cov": "Cao Miao", + "cow": "Cowlitz", + "cox": "Nanti", + "coz": "Chochotec", + "cpa": "Palantla Chinantec", + "cpb": "Ucayali-Yurúa Ashéninka", + "cpc": "Ajyíninka Apurucayali", + "cpe": "English-based creoles and pidgins", + "cpf": "French-based creoles and pidgins", + "cpg": "Cappadocian Greek", + "cpi": "Chinese Pidgin English", + "cpn": "Cherepon", + "cpo": "Kpeego", + "cpp": "Portuguese-based creoles and pidgins", + "cps": "Capiznon", + "cpu": "Pichis Ashéninka", + "cpx": "Pu-Xian Chinese", + "cpy": "South Ucayali Ashéninka", + "cqd": "Chuanqiandian Cluster Miao", + "cr": "Cree", + "cra": "Chara", + "crb": "Island Carib", + "crc": "Lonwolwol", + "crd": "Coeur d'Alene", + "crf": "Caramanta", + "crg": "Michif", + "crh": "Crimean Tatar; Crimean Turkish", + "cri": "Sãotomense", + "crj": "Southern East Cree", + "crk": "Plains Cree", + "crl": "Northern East Cree", + "crm": "Moose Cree", + "crn": "El Nayar Cora", + "cro": "Crow", + "crp": "Creoles and pidgins", + "crq": "Iyo'wujwa Chorote", + "crr": "Carolina Algonquian", + "crs": "Seselwa Creole French", + "crt": "Iyojwa'ja Chorote", + "crv": "Chaura", + "crw": "Chrau", + "crx": "Carrier", + "cry": "Cori", + "crz": "Cruzeño", + "cs": "Czech", + "csa": "Chiltepec Chinantec", + "csb": "Kashubian", + "csc": "Catalan Sign Language; Lengua de señas catalana; Llengua de Signes Catalana", + "csd": "Chiangmai Sign Language", + "cse": "Czech Sign Language", + "csf": "Cuba Sign Language", + "csg": "Chilean Sign Language", + "csh": "Asho Chin", + "csi": "Coast Miwok", + "csj": "Songlai Chin", + "csk": "Jola-Kasa", + "csl": "Chinese Sign Language", + "csm": "Central Sierra Miwok", + "csn": "Colombian Sign Language", + "cso": "Sochiapam Chinantec; Sochiapan Chinantec", + "csp": "Southern Ping Chinese; Southern Pinghua", + "csq": "Croatia Sign Language", + "csr": "Costa Rican Sign Language", + "css": "Southern Ohlone", + "cst": "Northern Ohlone", + "csu": "Central Sudanic languages", + "csv": "Sumtu Chin", + "csw": "Swampy Cree", + "csx": "Cambodian Sign Language", + "csy": "Siyin Chin", + "csz": "Coos", + "cta": "Tataltepec Chatino", + "ctc": "Chetco", + "ctd": "Tedim Chin", + "cte": "Tepinapa Chinantec", + "ctg": "Chittagonian", + "cth": "Thaiphum Chin", + "ctl": "Tlacoatzintepec Chinantec", + "ctm": "Chitimacha", + "ctn": "Chhintange", + "cto": "Emberá-Catío", + "ctp": "Western Highland Chatino", + "cts": "Northern Catanduanes Bikol", + "ctt": "Wayanad Chetti", + "ctu": "Chol", + "cty": "Moundadan Chetty", + "ctz": "Zacatepec Chatino", + "cu": "Church Slavic; Church Slavonic; Old Bulgarian; Old Church Slavonic; Old Slavonic", + "cua": "Cua", + "cub": "Cubeo", + "cuc": "Usila Chinantec", + "cuh": "Chuka; Gichuka", + "cui": "Cuiba", + "cuj": "Mashco Piro", + "cuk": "San Blas Kuna", + "cul": "Culina; Kulina", + "cuo": "Cumanagoto", + "cup": "Cupeño", + "cuq": "Cun", + "cur": "Chhulung", + "cus": "Cushitic languages", + "cut": "Teutila Cuicatec", + "cuu": "Tai Ya", + "cuv": "Cuvok", + "cuw": "Chukwa", + "cux": "Tepeuxila Cuicatec", + "cuy": "Cuitlatec", + "cv": "Chuvash", + "cvg": "Chug", + "cvn": "Valle Nacional Chinantec", + "cwa": "Kabwa", + "cwb": "Maindo", + "cwd": "Woods Cree", + "cwe": "Kwere", + "cwg": "Chewong; Cheq Wong", + "cwt": "Kuwaataay", + "cy": "Welsh", + "cya": "Nopala Chatino", + "cyb": "Cayubaba", + "cyo": "Cuyonon", + "czh": "Huizhou Chinese", + "czk": "Knaanic", + "czn": "Zenzontepec Chatino", + "czo": "Min Zhong Chinese", + "czt": "Zotung Chin", + "da": "Danish", + "daa": "Dangaléat", + "dac": "Dambi", + "dad": "Marik", + "dae": "Duupa", + "dag": "Dagbani", + "dah": "Gwahatike", + "dai": "Day", + "daj": "Dar Fur Daju", + "dak": "Dakota", + "dal": "Dahalo", + "dam": "Damakawa", + "dao": "Daai Chin", + "daq": "Dandami Maria", + "dar": "Dargwa", + "das": "Daho-Doo", + "dau": "Dar Sila Daju", + "dav": "Taita; Dawida", + "daw": "Davawenyo", + "dax": "Dayi", + "day": "Land Dayak languages", + "daz": "Dao", + "dba": "Bangime", + "dbb": "Deno", + "dbd": "Dadiya", + "dbe": "Dabe", + "dbf": "Edopi", + "dbg": "Dogul Dom Dogon", + "dbi": "Doka", + "dbj": "Ida'an", + "dbl": "Dyirbal", + "dbm": "Duguri", + "dbn": "Duriankere", + "dbo": "Dulbu", + "dbp": "Duwai", + "dbq": "Daba", + "dbr": "Dabarre", + "dbt": "Ben Tey Dogon", + "dbu": "Bondum Dom Dogon", + "dbv": "Dungu", + "dbw": "Bankan Tey Dogon", + "dby": "Dibiyaso", + "dcc": "Deccan", + "dcr": "Negerhollands", + "dda": "Dadi Dadi", + "ddd": "Dongotono", + "dde": "Doondo", + "ddg": "Fataluku", + "ddi": "West Goodenough", + "ddj": "Jaru", + "ddn": "Dendi (Benin)", + "ddo": "Dido", + "ddr": "Dhudhuroa", + "dds": "Donno So Dogon", + "ddw": "Dawera-Daweloor", + "de": "German", + "dec": "Dagik", + "ded": "Dedua", + "dee": "Dewoin", + "def": "Dezfuli", + "deg": "Degema", + "deh": "Dehwari", + "dei": "Demisa", + "dek": "Dek", + "del": "Delaware", + "dem": "Dem", + "den": "Slave (Athapascan)", + "dep": "Pidgin Delaware", + "deq": "Dendi (Central African Republic)", + "der": "Deori", + "des": "Desano", + "dev": "Domung", + "dez": "Dengese", + "dga": "Southern Dagaare", + "dgb": "Bunoge Dogon", + "dgc": "Casiguran Dumagat Agta", + "dgd": "Dagaari Dioula", + "dge": "Degenan", + "dgg": "Doga", + "dgh": "Dghwede", + "dgi": "Northern Dagara", + "dgk": "Dagba", + "dgl": "Andaandi; Dongolawi", + "dgn": "Dagoman", + "dgo": "Dogri (individual language)", + "dgr": "Dogrib; Tłı̨chǫ", + "dgs": "Dogoso", + "dgt": "Ndra'ngith", + "dgw": "Daungwurrung", + "dgx": "Doghoro", + "dgz": "Daga", + "dhd": "Dhundari", + "dhg": "Dhangu-Djangu; Dhangu; Djangu", + "dhi": "Dhimal", + "dhl": "Dhalandji", + "dhm": "Zemba", + "dhn": "Dhanki", + "dho": "Dhodia", + "dhr": "Dhargari", + "dhs": "Dhaiso", + "dhu": "Dhurga", + "dhv": "Dehu; Drehu", + "dhw": "Dhanwar (Nepal)", + "dhx": "Dhungaloo", + "dia": "Dia", + "dib": "South Central Dinka", + "dic": "Lakota Dida", + "did": "Didinga", + "dif": "Dieri; Diyari", + "dig": "Digo; Chidigo", + "dih": "Kumiai", + "dii": "Dimbong", + "dij": "Dai", + "dik": "Southwestern Dinka", + "dil": "Dilling", + "dim": "Dime", + "din": "Dinka", + "dio": "Dibo", + "dip": "Northeastern Dinka", + "diq": "Dimli (individual language)", + "dir": "Dirim", + "dis": "Dimasa", + "diu": "Diriku", + "diw": "Northwestern Dinka", + "dix": "Dixon Reef", + "diy": "Diuwe", + "diz": "Ding", + "dja": "Djadjawurrung", + "djb": "Djinba", + "djc": "Dar Daju Daju", + "djd": "Djamindjung; Ngaliwurru", + "dje": "Zarma", + "djf": "Djangun", + "dji": "Djinang", + "djj": "Djeebbana", + "djk": "Eastern Maroon Creole; Businenge Tongo; Nenge", + "djm": "Jamsay Dogon", + "djn": "Jawoyn; Djauan", + "djo": "Jangkang", + "djr": "Djambarrpuyngu", + "dju": "Kapriman", + "djw": "Djawi", + "dka": "Dakpakha", + "dkg": "Kadung", + "dkk": "Dakka", + "dkr": "Kuijau", + "dks": "Southeastern Dinka", + "dkx": "Mazagway", + "dlg": "Dolgan", + "dlk": "Dahalik", + "dlm": "Dalmatian", + "dln": "Darlong", + "dma": "Duma", + "dmb": "Mombo Dogon", + "dmc": "Gavak", + "dmd": "Madhi Madhi", + "dme": "Dugwor", + "dmf": "Medefaidrin", + "dmg": "Upper Kinabatangan", + "dmk": "Domaaki", + "dml": "Dameli", + "dmm": "Dama", + "dmn": "Mande languages", + "dmo": "Kemedzung", + "dmr": "East Damar", + "dms": "Dampelas", + "dmu": "Dubu; Tebi", + "dmv": "Dumpas", + "dmw": "Mudburra", + "dmx": "Dema", + "dmy": "Demta; Sowari", + "dna": "Upper Grand Valley Dani", + "dnd": "Daonda", + "dne": "Ndendeule", + "dng": "Dungan", + "dni": "Lower Grand Valley Dani", + "dnj": "Dan", + "dnk": "Dengka", + "dnn": "Dzùùngoo", + "dno": "Ndrulo; Northern Lendu", + "dnr": "Danaru", + "dnt": "Mid Grand Valley Dani", + "dnu": "Danau", + "dnv": "Danu", + "dnw": "Western Dani", + "dny": "Dení", + "doa": "Dom", + "dob": "Dobu", + "doc": "Northern Dong", + "doe": "Doe", + "dof": "Domu", + "doh": "Dong", + "doi": "Dogri (macrolanguage)", + "dok": "Dondo", + "dol": "Doso", + "don": "Toura (Papua New Guinea)", + "doo": "Dongo", + "dop": "Lukpa", + "doq": "Dominican Sign Language", + "dor": "Dori'o", + "dos": "Dogosé", + "dot": "Dass", + "dov": "Dombe", + "dow": "Doyayo", + "dox": "Bussa", + "doy": "Dompo", + "doz": "Dorze", + "dpp": "Papar", + "dra": "Dravidian languages", + "drb": "Dair", + "drc": "Minderico", + "drd": "Darmiya", + "dre": "Dolpo", + "drg": "Rungus", + "dri": "C'Lela", + "drl": "Paakantyi", + "drn": "West Damar", + "dro": "Daro-Matu Melanau", + "drq": "Dura", + "drs": "Gedeo", + "drt": "Drents", + "dru": "Rukai", + "dry": "Darai", + "dsb": "Lower Sorbian", + "dse": "Dutch Sign Language", + "dsh": "Daasanach", + "dsi": "Disa", + "dsl": "Danish Sign Language", + "dsn": "Dusner", + "dso": "Desiya", + "dsq": "Tadaksahak", + "dsz": "Mardin Sign Language", + "dta": "Daur", + "dtb": "Labuk-Kinabatangan Kadazan", + "dtd": "Ditidaht", + "dth": "Adithinngithigh", + "dti": "Ana Tinga Dogon", + "dtk": "Tene Kan Dogon", + "dtm": "Tomo Kan Dogon", + "dtn": "Daatsʼíin", + "dto": "Tommo So Dogon", + "dtp": "Kadazan Dusun; Central Dusun", + "dtr": "Lotud", + "dts": "Toro So Dogon", + "dtt": "Toro Tegu Dogon", + "dtu": "Tebul Ure Dogon", + "dty": "Dotyali", + "dua": "Duala", + "dub": "Dubli", + "duc": "Duna", + "due": "Umiray Dumaget Agta", + "duf": "Dumbea; Drubea", + "dug": "Duruma; Chiduruma", + "duh": "Dungra Bhil", + "dui": "Dumun", + "duk": "Uyajitaya", + "dul": "Alabat Island Agta", + "dum": "Middle Dutch (ca. 1050-1350)", + "dun": "Dusun Deyah", + "duo": "Dupaninan Agta", + "dup": "Duano", + "duq": "Dusun Malang", + "dur": "Dii", + "dus": "Dumi", + "duu": "Drung", + "duv": "Duvle", + "duw": "Dusun Witu", + "dux": "Duungooma", + "duy": "Dicamay Agta", + "duz": "Duli-Gey", + "dv": "Dhivehi; Divehi; Maldivian", + "dva": "Duau", + "dwa": "Diri", + "dwk": "Dawik Kui", + "dwr": "Dawro", + "dws": "Dutton World Speedwords", + "dwu": "Dhuwal", + "dww": "Dawawa", + "dwy": "Dhuwaya", + "dwz": "Dewas Rai", + "dya": "Dyan", + "dyb": "Dyaberdyaber", + "dyd": "Dyugun", + "dyg": "Villa Viciosa Agta", + "dyi": "Djimini Senoufo", + "dym": "Yanda Dom Dogon", + "dyn": "Dyangadi; Dhanggatti", + "dyo": "Jola-Fonyi", + "dyu": "Dyula", + "dyy": "Djabugay; Dyaabugay", + "dz": "Dzongkha", + "dza": "Tunzu", + "dze": "Djiwarli", + "dzg": "Dazaga", + "dzl": "Dzalakha", + "dzn": "Dzando", + "eaa": "Karenggapa", + "ebc": "Beginci", + "ebg": "Ebughu", + "ebk": "Eastern Bontok", + "ebo": "Teke-Ebo", + "ebr": "Ebrié", + "ebu": "Embu; Kiembu", + "ecr": "Eteocretan", + "ecs": "Ecuadorian Sign Language", + "ecy": "Eteocypriot", + "ee": "Ewe", + "eee": "E", + "efa": "Efai", + "efe": "Efe", + "efi": "Efik", + "ega": "Ega", + "egl": "Emilian", + "egm": "Benamanga", + "ego": "Eggon", + "egx": "Egyptian languages", + "egy": "Egyptian (Ancient)", + "ehs": "Miyakubo Sign Language", + "ehu": "Ehueun", + "eip": "Eipomek", + "eit": "Eitiep", + "eiv": "Askopan", + "eja": "Ejamat", + "eka": "Ekajuk", + "eke": "Ekit", + "ekg": "Ekari", + "eki": "Eki", + "ekk": "Standard Estonian", + "ekl": "Kol (Bangladesh); Kol", + "ekm": "Elip", + "eko": "Koti", + "ekp": "Ekpeye", + "ekr": "Yace", + "eky": "Eastern Kayah", + "el": "Modern Greek (1453-)", + "ele": "Elepi", + "elh": "El Hugeirat", + "eli": "Nding", + "elk": "Elkei", + "elm": "Eleme", + "elo": "El Molo", + "elu": "Elu", + "elx": "Elamite", + "ema": "Emai-Iuleha-Ora", + "emb": "Embaloh", + "eme": "Emerillon", + "emg": "Eastern Meohang", + "emi": "Mussau-Emira", + "emk": "Eastern Maninkakan", + "emm": "Mamulique", + "emn": "Eman", + "emp": "Northern Emberá", + "emq": "Eastern Minyag", + "ems": "Pacific Gulf Yupik", + "emu": "Eastern Muria", + "emw": "Emplawas", + "emx": "Erromintxela", + "emy": "Epigraphic Mayan", + "emz": "Mbessa", + "en": "English", + "ena": "Apali", + "enb": "Markweeta", + "enc": "En", + "end": "Ende", + "enf": "Forest Enets", + "enh": "Tundra Enets", + "enl": "Enlhet", + "enm": "Middle English (1100-1500)", + "enn": "Engenni", + "eno": "Enggano", + "enq": "Enga", + "enr": "Emumu; Emem", + "enu": "Enu", + "env": "Enwan (Edo State)", + "enw": "Enwan (Akwa Ibom State)", + "enx": "Enxet", + "eo": "Esperanto", + "eot": "Beti (Côte d'Ivoire)", + "epi": "Epie", + "era": "Eravallan", + "erg": "Sie", + "erh": "Eruwa", + "eri": "Ogea", + "erk": "South Efate", + "ero": "Horpa", + "err": "Erre", + "ers": "Ersu", + "ert": "Eritai", + "erw": "Erokwanas", + "es": "Spanish; Castilian", + "ese": "Ese Ejja", + "esg": "Aheri Gondi", + "esh": "Eshtehardi", + "esi": "North Alaskan Inupiatun", + "esk": "Northwest Alaska Inupiatun", + "esl": "Egypt Sign Language", + "esm": "Esuma", + "esn": "Salvadoran Sign Language", + "eso": "Estonian Sign Language", + "esq": "Esselen", + "ess": "Central Siberian Yupik", + "esu": "Central Yupik", + "esx": "Eskimo-Aleut languages", + "esy": "Eskayan", + "et": "Estonian", + "etb": "Etebi", + "etc": "Etchemin", + "eth": "Ethiopian Sign Language", + "etn": "Eton (Vanuatu)", + "eto": "Eton (Cameroon)", + "etr": "Edolo", + "ets": "Yekhee", + "ett": "Etruscan", + "etu": "Ejagham", + "etx": "Eten", + "etz": "Semimi", + "eu": "Basque", + "euq": "Basque (family)", + "eve": "Even", + "evh": "Uvbie", + "evn": "Evenki", + "ewo": "Ewondo", + "ext": "Extremaduran", + "eya": "Eyak", + "eyo": "Keiyo", + "eza": "Ezaa", + "eze": "Uzekwe", + "fa": "Persian", + "faa": "Fasu", + "fab": "Fa d'Ambu", + "fad": "Wagi", + "faf": "Fagani", + "fag": "Finongan", + "fah": "Baissa Fali", + "fai": "Faiwol", + "faj": "Faita", + "fak": "Fang (Cameroon)", + "fal": "South Fali", + "fam": "Fam", + "fan": "Fang (Equatorial Guinea)", + "fap": "Paloor", + "far": "Fataleka", + "fat": "Fanti", + "fau": "Fayu", + "fax": "Fala", + "fay": "Southwestern Fars", + "faz": "Northwestern Fars", + "fbl": "West Albay Bikol", + "fcs": "Quebec Sign Language", + "fer": "Feroge", + "ff": "Fulah", + "ffi": "Foia Foia", + "ffm": "Maasina Fulfulde", + "fgr": "Fongoro", + "fi": "Finnish", + "fia": "Nobiin", + "fie": "Fyer", + "fif": "Faifi", + "fil": "Filipino; Pilipino", + "fip": "Fipa", + "fir": "Firan", + "fit": "Tornedalen Finnish; Meänkieli", + "fiu": "Finno-Ugrian languages", + "fiw": "Fiwaga", + "fj": "Fijian", + "fkk": "Kirya-Konzəl", + "fkv": "Kven Finnish", + "fla": "Kalispel-Pend d'Oreille", + "flh": "Foau", + "fli": "Fali", + "fll": "North Fali", + "fln": "Flinders Island", + "flr": "Fuliiru", + "fly": "Flaaitaal; Tsotsitaal", + "fmp": "Fe'fe'", + "fmu": "Far Western Muria", + "fnb": "Fanbak", + "fng": "Fanagalo", + "fni": "Fania", + "fo": "Faroese", + "fod": "Foodo", + "foi": "Foi", + "fom": "Foma", + "fon": "Fon", + "for": "Fore", + "fos": "Siraya", + "fox": "Formosan languages", + "fpe": "Fernando Po Creole English", + "fqs": "Fas", + "fr": "French", + "frc": "Cajun French", + "frd": "Fordata", + "frk": "Frankish", + "frm": "Middle French (ca. 1400-1600)", + "fro": "Old French (842-ca. 1400)", + "frp": "Arpitan; Francoprovençal", + "frq": "Forak", + "frr": "Northern Frisian", + "frs": "Eastern Frisian", + "frt": "Fortsenal", + "fse": "Finnish Sign Language", + "fsl": "French Sign Language", + "fss": "Finland-Swedish Sign Language; finlandssvenskt teckenspråk; suomenruotsalainen viittomakieli", + "fub": "Adamawa Fulfulde", + "fuc": "Pulaar", + "fud": "East Futuna", + "fue": "Borgu Fulfulde", + "fuf": "Pular", + "fuh": "Western Niger Fulfulde", + "fui": "Bagirmi Fulfulde", + "fuj": "Ko", + "fum": "Fum", + "fun": "Fulniô", + "fuq": "Central-Eastern Niger Fulfulde", + "fur": "Friulian", + "fut": "Futuna-Aniwa", + "fuu": "Furu", + "fuv": "Nigerian Fulfulde", + "fuy": "Fuyug", + "fvr": "Fur", + "fwa": "Fwâi", + "fwe": "Fwe", + "fy": "Western Frisian", + "ga": "Irish", + "gaa": "Ga", + "gab": "Gabri", + "gac": "Mixed Great Andamanese", + "gad": "Gaddang", + "gae": "Guarequena", + "gaf": "Gende", + "gag": "Gagauz", + "gah": "Alekano", + "gai": "Borei", + "gaj": "Gadsup", + "gak": "Gamkonora", + "gal": "Galolen", + "gam": "Kandawo", + "gan": "Gan Chinese", + "gao": "Gants", + "gap": "Gal", + "gaq": "Gata'", + "gar": "Galeya", + "gas": "Adiwasi Garasia", + "gat": "Kenati", + "gau": "Mudhili Gadaba", + "gaw": "Nobonob", + "gax": "Borana-Arsi-Guji Oromo", + "gay": "Gayo", + "gaz": "West Central Oromo", + "gba": "Gbaya (Central African Republic)", + "gbb": "Kaytetye", + "gbd": "Karajarri", + "gbe": "Niksek", + "gbf": "Gaikundi", + "gbg": "Gbanziri", + "gbh": "Defi Gbe", + "gbi": "Galela", + "gbj": "Bodo Gadaba", + "gbk": "Gaddi", + "gbl": "Gamit", + "gbm": "Garhwali", + "gbn": "Mo'da", + "gbo": "Northern Grebo", + "gbp": "Gbaya-Bossangoa", + "gbq": "Gbaya-Bozoum", + "gbr": "Gbagyi", + "gbs": "Gbesi Gbe", + "gbu": "Gagadu", + "gbv": "Gbanu", + "gbw": "Gabi-Gabi", + "gbx": "Eastern Xwla Gbe", + "gby": "Gbari", + "gbz": "Zoroastrian Dari", + "gcc": "Mali", + "gcd": "Ganggalida", + "gce": "Galice", + "gcf": "Guadeloupean Creole French", + "gcl": "Grenadian Creole English", + "gcn": "Gaina", + "gcr": "Guianese Creole French", + "gct": "Colonia Tovar German", + "gd": "Scottish Gaelic; Gaelic", + "gda": "Gade Lohar", + "gdb": "Pottangi Ollar Gadaba", + "gdc": "Gugu Badhun", + "gdd": "Gedaged", + "gde": "Gude", + "gdf": "Guduf-Gava", + "gdg": "Ga'dang", + "gdh": "Gadjerawang; Gajirrabeng", + "gdi": "Gundi", + "gdj": "Gurdjar", + "gdk": "Gadang", + "gdl": "Dirasha", + "gdm": "Laal", + "gdn": "Umanakaina", + "gdo": "Ghodoberi", + "gdq": "Mehri", + "gdr": "Wipi", + "gds": "Ghandruk Sign Language", + "gdt": "Kungardutyi", + "gdu": "Gudu", + "gdx": "Godwari", + "gea": "Geruma", + "geb": "Kire", + "gec": "Gboloo Grebo", + "ged": "Gade", + "gef": "Gerai", + "geg": "Gengle", + "geh": "Hutterite German; Hutterisch", + "gei": "Gebe", + "gej": "Gen", + "gek": "Ywom", + "gel": "ut-Ma'in", + "gem": "Germanic languages", + "geq": "Geme", + "ges": "Geser-Gorom", + "gev": "Eviya", + "gew": "Gera", + "gex": "Garre", + "gey": "Enya", + "gez": "Geez", + "gfk": "Patpatar", + "gft": "Gafat", + "gga": "Gao", + "ggb": "Gbii", + "ggd": "Gugadj", + "gge": "Gurr-goni", + "ggg": "Gurgula", + "ggk": "Kungarakany", + "ggl": "Ganglau", + "ggt": "Gitua", + "ggu": "Gagu; Gban", + "ggw": "Gogodala", + "gha": "Ghadamès", + "ghc": "Hiberno-Scottish Gaelic", + "ghe": "Southern Ghale", + "ghh": "Northern Ghale", + "ghk": "Geko Karen", + "ghl": "Ghulfan", + "ghn": "Ghanongga", + "gho": "Ghomara", + "ghr": "Ghera", + "ghs": "Guhu-Samane", + "ght": "Kuke; Kutang Ghale", + "gia": "Kija", + "gib": "Gibanawa", + "gic": "Gail", + "gid": "Gidar", + "gie": "Gaɓogbo; Guébie", + "gig": "Goaria", + "gih": "Githabul", + "gii": "Girirra", + "gil": "Gilbertese", + "gim": "Gimi (Eastern Highlands)", + "gin": "Hinukh", + "gip": "Gimi (West New Britain)", + "giq": "Green Gelao", + "gir": "Red Gelao", + "gis": "North Giziga", + "git": "Gitxsan", + "giu": "Mulao", + "giw": "White Gelao", + "gix": "Gilima", + "giy": "Giyug", + "giz": "South Giziga", + "gjk": "Kachi Koli", + "gjm": "Gunditjmara", + "gjn": "Gonja", + "gjr": "Gurindji Kriol", + "gju": "Gujari", + "gka": "Guya", + "gkd": "Magɨ (Madang Province)", + "gke": "Ndai", + "gkn": "Gokana", + "gko": "Kok-Nar", + "gkp": "Guinea Kpelle", + "gku": "ǂUngkue", + "gl": "Galician", + "glb": "Belning", + "glc": "Bon Gula", + "gld": "Nanai", + "glh": "Northwest Pashai; Northwest Pashayi", + "glj": "Gula Iro", + "glk": "Gilaki", + "gll": "Garlali", + "glo": "Galambu", + "glr": "Glaro-Twabo", + "glu": "Gula (Chad)", + "glw": "Glavda", + "gly": "Gule", + "gma": "Gambera", + "gmb": "Gula'alaa", + "gmd": "Mághdì", + "gme": "East Germanic languages", + "gmg": "Magɨyi", + "gmh": "Middle High German (ca. 1050-1500)", + "gml": "Middle Low German", + "gmm": "Gbaya-Mbodomo", + "gmn": "Gimnime", + "gmq": "North Germanic languages", + "gmr": "Mirning; Mirniny", + "gmu": "Gumalu", + "gmv": "Gamo", + "gmw": "West Germanic languages", + "gmx": "Magoma", + "gmy": "Mycenaean Greek", + "gmz": "Mgbolizhia", + "gn": "Guarani", + "gna": "Kaansa", + "gnb": "Gangte", + "gnc": "Guanche", + "gnd": "Zulgo-Gemzek", + "gne": "Ganang", + "gng": "Ngangam", + "gnh": "Lere", + "gni": "Gooniyandi", + "gnj": "Ngen", + "gnk": "ǁGana", + "gnl": "Gangulu", + "gnm": "Ginuman", + "gnn": "Gumatj", + "gno": "Northern Gondi", + "gnq": "Gana", + "gnr": "Gureng Gureng", + "gnt": "Guntai", + "gnu": "Gnau", + "gnw": "Western Bolivian Guaraní", + "gnz": "Ganzi", + "goa": "Guro", + "gob": "Playero", + "goc": "Gorakor", + "god": "Godié", + "goe": "Gongduk", + "gof": "Gofa", + "gog": "Gogo", + "goh": "Old High German (ca. 750-1050)", + "goi": "Gobasi", + "goj": "Gowlan", + "gok": "Gowli", + "gol": "Gola", + "gom": "Goan Konkani", + "gon": "Gondi", + "goo": "Gone Dau", + "gop": "Yeretuar", + "goq": "Gorap", + "gor": "Gorontalo", + "gos": "Gronings", + "got": "Gothic", + "gou": "Gavar", + "gov": "Goo", + "gow": "Gorowa", + "gox": "Gobu", + "goy": "Goundo", + "goz": "Gozarkhani", + "gpa": "Gupa-Abawa", + "gpe": "Ghanaian Pidgin English", + "gpn": "Taiap", + "gqa": "Ga'anda", + "gqi": "Guiqiong", + "gqn": "Guana (Brazil)", + "gqr": "Gor", + "gqu": "Qau", + "gra": "Rajput Garasia", + "grb": "Grebo", + "grc": "Ancient Greek (to 1453)", + "grd": "Guruntum-Mbaaru", + "grg": "Madi", + "grh": "Gbiri-Niragu", + "gri": "Ghari", + "grj": "Southern Grebo", + "grk": "Greek languages", + "grm": "Kota Marudu Talantang", + "gro": "Groma", + "grq": "Gorovu", + "grr": "Taznatit", + "grs": "Gresi", + "grt": "Garo", + "gru": "Kistane", + "grv": "Central Grebo", + "grw": "Gweda", + "grx": "Guriaso", + "gry": "Barclayville Grebo", + "grz": "Guramalum", + "gse": "Ghanaian Sign Language", + "gsg": "German Sign Language", + "gsl": "Gusilay", + "gsm": "Guatemalan Sign Language", + "gsn": "Nema; Gusan", + "gso": "Southwest Gbaya", + "gsp": "Wasembo", + "gss": "Greek Sign Language", + "gsw": "Swiss German; Alemannic; Alsatian", + "gta": "Guató", + "gtu": "Aghu-Tharnggala", + "gu": "Gujarati", + "gua": "Shiki", + "gub": "Guajajára", + "guc": "Wayuu", + "gud": "Yocoboué Dida", + "gue": "Gurindji", + "guf": "Gupapuyngu", + "gug": "Paraguayan Guaraní", + "guh": "Guahibo", + "gui": "Eastern Bolivian Guaraní", + "guk": "Gumuz", + "gul": "Sea Island Creole English", + "gum": "Guambiano", + "gun": "Mbyá Guaraní", + "guo": "Guayabero", + "gup": "Gunwinggu", + "guq": "Aché", + "gur": "Farefare", + "gus": "Guinean Sign Language", + "gut": "Maléku Jaíka", + "guu": "Yanomamö", + "guw": "Gun", + "gux": "Gourmanchéma", + "guz": "Gusii; Ekegusii", + "gv": "Manx", + "gva": "Guana (Paraguay)", + "gvc": "Guanano", + "gve": "Duwet", + "gvf": "Golin", + "gvj": "Guajá", + "gvl": "Gulay", + "gvm": "Gurmana", + "gvn": "Kuku-Yalanji", + "gvo": "Gavião Do Jiparaná", + "gvp": "Pará Gavião", + "gvr": "Gurung", + "gvs": "Gumawana", + "gvy": "Guyani", + "gwa": "Mbato", + "gwb": "Gwa", + "gwc": "Gawri; Kalami", + "gwd": "Gawwada", + "gwe": "Gweno", + "gwf": "Gowro", + "gwg": "Moo", + "gwi": "Gwichʼin", + "gwj": "ǀGwi", + "gwm": "Awngthim", + "gwn": "Gwandara", + "gwr": "Gwere", + "gwt": "Gawar-Bati", + "gwu": "Guwamu", + "gww": "Kwini", + "gwx": "Gua", + "gxx": "Wè Southern", + "gya": "Northwest Gbaya", + "gyb": "Garus", + "gyd": "Kayardild", + "gye": "Gyem", + "gyf": "Gungabula", + "gyg": "Gbayi", + "gyi": "Gyele", + "gyl": "Gayil", + "gym": "Ngäbere", + "gyn": "Guyanese Creole English", + "gyo": "Gyalsumdo", + "gyr": "Guarayu", + "gyy": "Gunya", + "gyz": "Geji; Gyaazi", + "gza": "Ganza", + "gzi": "Gazi", + "gzn": "Gane", + "ha": "Hausa", + "haa": "Han", + "hab": "Hanoi Sign Language", + "hac": "Gurani", + "had": "Hatam", + "hae": "Eastern Oromo", + "haf": "Haiphong Sign Language", + "hag": "Hanga", + "hah": "Hahon", + "hai": "Haida", + "haj": "Hajong", + "hak": "Hakka Chinese", + "hal": "Halang", + "ham": "Hewa", + "han": "Hangaza", + "hao": "Hakö", + "hap": "Hupla", + "haq": "Ha", + "har": "Harari", + "has": "Haisla", + "hav": "Havu", + "haw": "Hawaiian", + "hax": "Southern Haida", + "hay": "Haya", + "haz": "Hazaragi", + "hba": "Hamba", + "hbb": "Huba", + "hbn": "Heiban", + "hbo": "Ancient Hebrew", + "hbu": "Habu", + "hca": "Andaman Creole Hindi", + "hch": "Huichol", + "hdn": "Northern Haida", + "hds": "Honduras Sign Language", + "hdy": "Hadiyya", + "he": "Hebrew", + "hea": "Northern Qiandong Miao", + "hed": "Herdé", + "heg": "Helong", + "heh": "Hehe", + "hei": "Heiltsuk", + "hem": "Hemba", + "hgm": "Haiǁom", + "hgw": "Haigwai", + "hhi": "Hoia Hoia", + "hhr": "Kerak", + "hhy": "Hoyahoya", + "hi": "Hindi", + "hia": "Lamang", + "hib": "Hibito", + "hid": "Hidatsa", + "hif": "Fiji Hindi", + "hig": "Kamwe", + "hih": "Pamosu", + "hii": "Hinduri", + "hij": "Hijuk", + "hik": "Seit-Kaitetu", + "hil": "Hiligaynon", + "him": "Himachali languages; Western Pahari languages", + "hio": "Tsoa", + "hir": "Himarimã", + "hit": "Hittite", + "hiw": "Hiw", + "hix": "Hixkaryána", + "hji": "Haji", + "hka": "Kahe", + "hke": "Hunde", + "hkh": "Khah; Poguli", + "hkk": "Hunjara-Kaina Ke", + "hkn": "Mel-Khaonh", + "hks": "Hong Kong Sign Language; Heung Kong Sau Yue", + "hla": "Halia", + "hlb": "Halbi", + "hld": "Halang Doan", + "hle": "Hlersu", + "hlt": "Matu Chin", + "hlu": "Hieroglyphic Luwian", + "hma": "Southern Mashan Hmong; Southern Mashan Miao", + "hmb": "Humburi Senni Songhay", + "hmc": "Central Huishui Hmong; Central Huishui Miao", + "hmd": "Large Flowery Miao; A-hmaos; Da-Hua Miao", + "hme": "Eastern Huishui Hmong; Eastern Huishui Miao", + "hmf": "Hmong Don", + "hmg": "Southwestern Guiyang Hmong", + "hmh": "Southwestern Huishui Hmong; Southwestern Huishui Miao", + "hmi": "Northern Huishui Hmong; Northern Huishui Miao", + "hmj": "Ge; Gejia", + "hmk": "Maek", + "hml": "Luopohe Hmong; Luopohe Miao", + "hmm": "Central Mashan Hmong; Central Mashan Miao", + "hmn": "Hmong; Mong", + "hmp": "Northern Mashan Hmong; Northern Mashan Miao", + "hmq": "Eastern Qiandong Miao", + "hmr": "Hmar", + "hms": "Southern Qiandong Miao", + "hmt": "Hamtai", + "hmu": "Hamap", + "hmv": "Hmong Dô", + "hmw": "Western Mashan Hmong; Western Mashan Miao", + "hmx": "Hmong-Mien languages", + "hmy": "Southern Guiyang Hmong; Southern Guiyang Miao", + "hmz": "Hmong Shua; Sinicized Miao", + "hna": "Mina (Cameroon)", + "hnd": "Southern Hindko", + "hne": "Chhattisgarhi", + "hng": "Hungu", + "hnh": "ǁAni", + "hni": "Hani", + "hnj": "Hmong Njua; Mong Leng; Mong Njua", + "hnn": "Hanunoo", + "hno": "Northern Hindko", + "hns": "Caribbean Hindustani", + "hnu": "Hung", + "ho": "Hiri Motu", + "hoa": "Hoava", + "hob": "Mari (Madang Province)", + "hoc": "Ho", + "hod": "Holma", + "hoe": "Horom", + "hoh": "Hobyót", + "hoi": "Holikachuk", + "hoj": "Hadothi; Haroti", + "hok": "Hokan languages", + "hol": "Holu", + "hom": "Homa", + "hoo": "Holoholo", + "hop": "Hopi", + "hor": "Horo", + "hos": "Ho Chi Minh City Sign Language", + "hot": "Hote; Malê", + "hov": "Hovongan", + "how": "Honi", + "hoy": "Holiya", + "hoz": "Hozo", + "hpo": "Hpon", + "hps": "Hawai'i Sign Language (HSL); Hawai'i Pidgin Sign Language", + "hr": "Croatian", + "hra": "Hrangkhol", + "hrc": "Niwer Mil", + "hre": "Hre", + "hrk": "Haruku", + "hrm": "Horned Miao", + "hro": "Haroi", + "hrp": "Nhirrpi", + "hrt": "Hértevin", + "hru": "Hruso", + "hrw": "Warwar Feni", + "hrx": "Hunsrik", + "hrz": "Harzani", + "hsb": "Upper Sorbian", + "hsh": "Hungarian Sign Language", + "hsl": "Hausa Sign Language", + "hsn": "Xiang Chinese", + "hss": "Harsusi", + "ht": "Haitian; Haitian Creole", + "hti": "Hoti", + "hto": "Minica Huitoto", + "hts": "Hadza", + "htu": "Hitu", + "htx": "Middle Hittite", + "hu": "Hungarian", + "hub": "Huambisa", + "huc": "ǂHua; ǂʼAmkhoe", + "hud": "Huaulu", + "hue": "San Francisco Del Mar Huave", + "huf": "Humene", + "hug": "Huachipaeri", + "huh": "Huilliche", + "hui": "Huli", + "huj": "Northern Guiyang Hmong; Northern Guiyang Miao", + "huk": "Hulung", + "hul": "Hula", + "hum": "Hungana", + "huo": "Hu", + "hup": "Hupa", + "huq": "Tsat", + "hur": "Halkomelem", + "hus": "Huastec", + "hut": "Humla", + "huu": "Murui Huitoto", + "huv": "San Mateo Del Mar Huave", + "huw": "Hukumina", + "hux": "Nüpode Huitoto", + "huy": "Hulaulá", + "huz": "Hunzib", + "hvc": "Haitian Vodoun Culture Language", + "hve": "San Dionisio Del Mar Huave", + "hvk": "Haveke", + "hvn": "Sabu", + "hvv": "Santa María Del Mar Huave", + "hwa": "Wané", + "hwc": "Hawai'i Creole English; Hawai'i Pidgin", + "hwo": "Hwana", + "hy": "Armenian", + "hya": "Hya", + "hyw": "Western Armenian", + "hyx": "Armenian (family)", + "hz": "Herero", + "ia": "Interlingua (International Auxiliary Language Association)", + "iai": "Iaai", + "ian": "Iatmul", + "iar": "Purari", + "iba": "Iban", + "ibb": "Ibibio", + "ibd": "Iwaidja", + "ibe": "Akpes", + "ibg": "Ibanag", + "ibh": "Bih", + "ibl": "Ibaloi", + "ibm": "Agoi", + "ibn": "Ibino", + "ibr": "Ibuoro", + "ibu": "Ibu", + "iby": "Ibani", + "ica": "Ede Ica", + "ich": "Etkywan", + "icl": "Icelandic Sign Language", + "icr": "Islander Creole English", + "id": "Indonesian", + "ida": "Idakho-Isukha-Tiriki; Luidakho-Luisukha-Lutirichi", + "idb": "Indo-Portuguese", + "idc": "Idon; Ajiya", + "idd": "Ede Idaca", + "ide": "Idere", + "idi": "Idi", + "idr": "Indri", + "ids": "Idesa", + "idt": "Idaté", + "idu": "Idoma", + "ie": "Interlingue; Occidental", + "ifa": "Amganad Ifugao", + "ifb": "Batad Ifugao; Ayangan Ifugao", + "ife": "Ifè", + "iff": "Ifo", + "ifk": "Tuwali Ifugao", + "ifm": "Teke-Fuumu", + "ifu": "Mayoyao Ifugao", + "ify": "Keley-I Kallahan", + "ig": "Igbo", + "igb": "Ebira", + "ige": "Igede", + "igg": "Igana", + "igl": "Igala", + "igm": "Kanggape", + "ign": "Ignaciano", + "igo": "Isebe", + "igs": "Interglossa", + "igw": "Igwe", + "ihb": "Iha Based Pidgin", + "ihi": "Ihievbe", + "ihp": "Iha", + "ihw": "Bidhawal", + "ii": "Sichuan Yi; Nuosu", + "iin": "Thiin", + "iir": "Indo-Iranian languages", + "ijc": "Izon", + "ije": "Biseni", + "ijj": "Ede Ije", + "ijn": "Kalabari", + "ijo": "Ijo languages", + "ijs": "Southeast Ijo", + "ik": "Inupiaq", + "ike": "Eastern Canadian Inuktitut", + "iki": "Iko", + "ikk": "Ika", + "ikl": "Ikulu", + "iko": "Olulumo-Ikom", + "ikp": "Ikpeshi", + "ikr": "Ikaranggal", + "iks": "Inuit Sign Language", + "ikt": "Inuinnaqtun; Western Canadian Inuktitut", + "ikv": "Iku-Gora-Ankwa", + "ikw": "Ikwere", + "ikx": "Ik", + "ikz": "Ikizu", + "ila": "Ile Ape", + "ilb": "Ila", + "ilg": "Garig-Ilgar", + "ili": "Ili Turki", + "ilk": "Ilongot", + "ilm": "Iranun (Malaysia)", + "ilo": "Iloko", + "ilp": "Iranun (Philippines)", + "ils": "International Sign", + "ilu": "Ili'uun", + "ilv": "Ilue", + "ima": "Mala Malasar", + "imi": "Anamgura", + "iml": "Miluk", + "imn": "Imonda", + "imo": "Imbongu", + "imr": "Imroing", + "ims": "Marsian", + "imt": "Imotong", + "imy": "Milyan", + "inb": "Inga", + "inc": "Indic languages", + "ine": "Indo-European languages", + "ing": "Degexit'an", + "inh": "Ingush", + "inj": "Jungle Inga", + "inl": "Indonesian Sign Language", + "inm": "Minaean", + "inn": "Isinai", + "ino": "Inoke-Yate", + "inp": "Iñapari", + "ins": "Indian Sign Language", + "int": "Intha", + "inz": "Ineseño", + "io": "Ido", + "ior": "Inor", + "iou": "Tuma-Irumu", + "iow": "Iowa-Oto", + "ipi": "Ipili", + "ipo": "Ipiko", + "iqu": "Iquito", + "iqw": "Ikwo", + "ira": "Iranian languages", + "ire": "Iresim", + "irh": "Irarutu", + "iri": "Rigwe; Irigwe", + "irk": "Iraqw", + "irn": "Irántxe", + "iro": "Iroquoian languages", + "irr": "Ir", + "iru": "Irula", + "irx": "Kamberau", + "iry": "Iraya", + "is": "Icelandic", + "isa": "Isabi", + "isc": "Isconahua", + "isd": "Isnag", + "ise": "Italian Sign Language", + "isg": "Irish Sign Language", + "ish": "Esan", + "isi": "Nkem-Nkum", + "isk": "Ishkashimi", + "ism": "Masimasi", + "isn": "Isanzu", + "iso": "Isoko", + "isr": "Israeli Sign Language", + "ist": "Istriot", + "isu": "Isu (Menchum Division)", + "it": "Italian", + "itb": "Binongan Itneg", + "itc": "Italic languages", + "itd": "Southern Tidung", + "ite": "Itene", + "iti": "Inlaod Itneg", + "itk": "Judeo-Italian", + "itl": "Itelmen", + "itm": "Itu Mbon Uzo", + "ito": "Itonama", + "itr": "Iteri", + "its": "Isekiri", + "itt": "Maeng Itneg", + "itv": "Itawit", + "itw": "Ito", + "itx": "Itik", + "ity": "Moyadan Itneg", + "itz": "Itzá", + "iu": "Inuktitut", + "ium": "Iu Mien", + "ivb": "Ibatan", + "ivv": "Ivatan", + "iwk": "I-Wak", + "iwm": "Iwam", + "iwo": "Iwur", + "iws": "Sepik Iwam", + "ixc": "Ixcatec", + "ixl": "Ixil", + "iya": "Iyayu", + "iyo": "Mesaka", + "iyx": "Yaka (Congo)", + "izh": "Ingrian", + "izr": "Izere", + "izz": "Izii", + "ja": "Japanese", + "jaa": "Jamamadí", + "jab": "Hyam", + "jac": "Popti'; Jakalteko", + "jad": "Jahanka", + "jae": "Yabem", + "jaf": "Jara", + "jah": "Jah Hut", + "jaj": "Zazao", + "jak": "Jakun", + "jal": "Yalahatan", + "jam": "Jamaican Creole English", + "jan": "Jandai", + "jao": "Yanyuwa", + "jaq": "Yaqay", + "jas": "New Caledonian Javanese", + "jat": "Jakati", + "jau": "Yaur", + "jax": "Jambi Malay", + "jay": "Yan-nhangu; Nhangu", + "jaz": "Jawe", + "jbe": "Judeo-Berber", + "jbi": "Badjiri", + "jbj": "Arandai", + "jbk": "Barikewa", + "jbm": "Bijim", + "jbn": "Nafusi", + "jbo": "Lojban", + "jbr": "Jofotek-Bromnya", + "jbt": "Jabutí", + "jbu": "Jukun Takum", + "jbw": "Yawijibaya", + "jcs": "Jamaican Country Sign Language", + "jct": "Krymchak", + "jda": "Jad", + "jdg": "Jadgali", + "jdt": "Judeo-Tat", + "jeb": "Jebero", + "jee": "Jerung", + "jeh": "Jeh", + "jei": "Yei", + "jek": "Jeri Kuo", + "jel": "Yelmek", + "jen": "Dza", + "jer": "Jere", + "jet": "Manem", + "jeu": "Jonkor Bourmataguil", + "jgb": "Ngbee", + "jge": "Judeo-Georgian", + "jgk": "Gwak", + "jgo": "Ngomba", + "jhi": "Jehai", + "jhs": "Jhankot Sign Language", + "jia": "Jina", + "jib": "Jibu", + "jic": "Tol", + "jid": "Bu (Kaduna State)", + "jie": "Jilbe", + "jig": "Jingulu; Djingili", + "jih": "sTodsde; Shangzhai", + "jii": "Jiiddu", + "jil": "Jilim", + "jim": "Jimi (Cameroon)", + "jio": "Jiamao", + "jiq": "Guanyinqiao; Lavrung", + "jit": "Jita", + "jiu": "Youle Jinuo", + "jiv": "Shuar", + "jiy": "Buyuan Jinuo", + "jje": "Jejueo", + "jjr": "Bankal", + "jka": "Kaera", + "jkm": "Mobwa Karen", + "jko": "Kubo", + "jkp": "Paku Karen", + "jkr": "Koro (India)", + "jks": "Amami Koniya Sign Language", + "jku": "Labir", + "jle": "Ngile", + "jls": "Jamaican Sign Language", + "jma": "Dima", + "jmb": "Zumbun", + "jmc": "Machame", + "jmd": "Yamdena", + "jmi": "Jimi (Nigeria)", + "jml": "Jumli", + "jmn": "Makuri Naga", + "jmr": "Kamara", + "jms": "Mashi (Nigeria)", + "jmw": "Mouwase", + "jmx": "Western Juxtlahuaca Mixtec", + "jna": "Jangshung", + "jnd": "Jandavra", + "jng": "Yangman", + "jni": "Janji", + "jnj": "Yemsa", + "jnl": "Rawat", + "jns": "Jaunsari", + "job": "Joba", + "jod": "Wojenaka", + "jog": "Jogi", + "jor": "Jorá", + "jos": "Jordanian Sign Language", + "jow": "Jowulu", + "jpa": "Jewish Palestinian Aramaic", + "jpr": "Judeo-Persian", + "jpx": "Japanese (family)", + "jqr": "Jaqaru", + "jra": "Jarai", + "jrb": "Judeo-Arabic", + "jrr": "Jiru", + "jrt": "Jakattoe", + "jru": "Japrería", + "jsl": "Japanese Sign Language", + "jua": "Júma", + "jub": "Wannu", + "juc": "Jurchen", + "jud": "Worodougou", + "juh": "Hõne", + "jui": "Ngadjuri", + "juk": "Wapan", + "jul": "Jirel", + "jum": "Jumjum", + "jun": "Juang", + "juo": "Jiba", + "jup": "Hupdë", + "jur": "Jurúna", + "jus": "Jumla Sign Language", + "jut": "Jutish", + "juu": "Ju", + "juw": "Wãpha", + "juy": "Juray", + "jv": "Javanese", + "jvd": "Javindo", + "jvn": "Caribbean Javanese", + "jwi": "Jwira-Pepesa", + "jya": "Jiarong", + "jye": "Judeo-Yemeni Arabic", + "jyy": "Jaya", + "ka": "Georgian", + "kaa": "Kara-Kalpak; Karakalpak", + "kab": "Kabyle", + "kac": "Kachin; Jingpho", + "kad": "Adara", + "kae": "Ketangalan", + "kaf": "Katso", + "kag": "Kajaman", + "kah": "Kara (Central African Republic)", + "kai": "Karekare", + "kaj": "Jju", + "kak": "Kalanguya; Kayapa Kallahan", + "kam": "Kamba (Kenya)", + "kao": "Xaasongaxango", + "kap": "Bezhta", + "kaq": "Capanahua", + "kar": "Karen languages", + "kav": "Katukína", + "kaw": "Kawi", + "kax": "Kao", + "kay": "Kamayurá", + "kba": "Kalarko", + "kbb": "Kaxuiâna", + "kbc": "Kadiwéu", + "kbd": "Kabardian", + "kbe": "Kanju", + "kbg": "Khamba", + "kbh": "Camsá", + "kbi": "Kaptiau", + "kbj": "Kari", + "kbk": "Grass Koiari", + "kbl": "Kanembu", + "kbm": "Iwal", + "kbn": "Kare (Central African Republic)", + "kbo": "Keliko", + "kbp": "Kabiyè", + "kbq": "Kamano", + "kbr": "Kafa", + "kbs": "Kande", + "kbt": "Abadi", + "kbu": "Kabutra", + "kbv": "Dera (Indonesia)", + "kbw": "Kaiep", + "kbx": "Ap Ma", + "kby": "Manga Kanuri", + "kbz": "Duhwa", + "kca": "Khanty", + "kcb": "Kawacha", + "kcc": "Lubila", + "kcd": "Ngkâlmpw Kanum", + "kce": "Kaivi", + "kcf": "Ukaan", + "kcg": "Tyap", + "kch": "Vono", + "kci": "Kamantan", + "kcj": "Kobiana", + "kck": "Kalanga", + "kcl": "Kela (Papua New Guinea); Kala", + "kcm": "Gula (Central African Republic)", + "kcn": "Nubi", + "kco": "Kinalakna", + "kcp": "Kanga", + "kcq": "Kamo", + "kcr": "Katla", + "kcs": "Koenoem", + "kct": "Kaian", + "kcu": "Kami (Tanzania)", + "kcv": "Kete", + "kcw": "Kabwari", + "kcx": "Kachama-Ganjule", + "kcy": "Korandje", + "kcz": "Konongo", + "kda": "Worimi", + "kdc": "Kutu", + "kdd": "Yankunytjatjara", + "kde": "Makonde", + "kdf": "Mamusi", + "kdg": "Seba", + "kdh": "Tem", + "kdi": "Kumam", + "kdj": "Karamojong", + "kdk": "Numèè; Kwényi", + "kdl": "Tsikimba", + "kdm": "Kagoma", + "kdn": "Kunda", + "kdo": "Kordofanian languages", + "kdp": "Kaningdon-Nindem", + "kdq": "Koch", + "kdr": "Karaim", + "kdt": "Kuy", + "kdu": "Kadaru", + "kdw": "Koneraw", + "kdx": "Kam", + "kdy": "Keder; Keijar", + "kdz": "Kwaja", + "kea": "Kabuverdianu", + "keb": "Kélé", + "kec": "Keiga", + "ked": "Kerewe", + "kee": "Eastern Keres", + "kef": "Kpessi", + "keg": "Tese", + "keh": "Keak", + "kei": "Kei", + "kej": "Kadar", + "kek": "Kekchí", + "kel": "Kela (Democratic Republic of Congo)", + "kem": "Kemak", + "ken": "Kenyang", + "keo": "Kakwa", + "kep": "Kaikadi", + "keq": "Kamar", + "ker": "Kera", + "kes": "Kugbo", + "ket": "Ket", + "keu": "Akebu", + "kev": "Kanikkaran", + "kew": "West Kewa", + "kex": "Kukna", + "key": "Kupia", + "kez": "Kukele", + "kfa": "Kodava", + "kfb": "Northwestern Kolami", + "kfc": "Konda-Dora", + "kfd": "Korra Koraga", + "kfe": "Kota (India)", + "kff": "Koya", + "kfg": "Kudiya", + "kfh": "Kurichiya", + "kfi": "Kannada Kurumba", + "kfj": "Kemiehua", + "kfk": "Kinnauri", + "kfl": "Kung", + "kfm": "Khunsari", + "kfn": "Kuk", + "kfo": "Koro (Côte d'Ivoire)", + "kfp": "Korwa", + "kfq": "Korku", + "kfr": "Kachhi; Kutchi", + "kfs": "Bilaspuri", + "kft": "Kanjari", + "kfu": "Katkari", + "kfv": "Kurmukar", + "kfw": "Kharam Naga", + "kfx": "Kullu Pahari", + "kfy": "Kumaoni", + "kfz": "Koromfé", + "kg": "Kongo", + "kga": "Koyaga", + "kgb": "Kawe", + "kge": "Komering", + "kgf": "Kube", + "kgg": "Kusunda", + "kgi": "Selangor Sign Language", + "kgj": "Gamale Kham", + "kgk": "Kaiwá", + "kgl": "Kunggari", + "kgm": "Karipúna", + "kgn": "Karingani", + "kgo": "Krongo", + "kgp": "Kaingang", + "kgq": "Kamoro", + "kgr": "Abun", + "kgs": "Kumbainggar", + "kgt": "Somyev", + "kgu": "Kobol", + "kgv": "Karas", + "kgw": "Karon Dori", + "kgx": "Kamaru", + "kgy": "Kyerung", + "kha": "Khasi", + "khb": "Lü", + "khc": "Tukang Besi North", + "khd": "Bädi Kanum", + "khe": "Korowai", + "khf": "Khuen", + "khg": "Khams Tibetan", + "khh": "Kehu", + "khi": "Khoisan languages", + "khj": "Kuturmi", + "khk": "Halh Mongolian", + "khl": "Lusi", + "khn": "Khandesi", + "kho": "Khotanese; Sakan", + "khp": "Kapori; Kapauri", + "khq": "Koyra Chiini Songhay", + "khr": "Kharia", + "khs": "Kasua", + "kht": "Khamti", + "khu": "Nkhumbi", + "khv": "Khvarshi", + "khw": "Khowar", + "khx": "Kanu", + "khy": "Kele (Democratic Republic of Congo)", + "khz": "Keapara", + "ki": "Kikuyu; Gikuyu", + "kia": "Kim", + "kib": "Koalib", + "kic": "Kickapoo", + "kid": "Koshin", + "kie": "Kibet", + "kif": "Eastern Parbate Kham", + "kig": "Kimaama; Kimaghima", + "kih": "Kilmeri", + "kii": "Kitsai", + "kij": "Kilivila", + "kil": "Kariya", + "kim": "Karagas", + "kio": "Kiowa", + "kip": "Sheshi Kham", + "kiq": "Kosadle; Kosare", + "kis": "Kis", + "kit": "Agob", + "kiu": "Kirmanjki (individual language)", + "kiv": "Kimbu", + "kiw": "Northeast Kiwai", + "kix": "Khiamniungan Naga", + "kiy": "Kirikiri", + "kiz": "Kisi", + "kj": "Kuanyama; Kwanyama", + "kja": "Mlap", + "kjb": "Q'anjob'al; Kanjobal", + "kjc": "Coastal Konjo", + "kjd": "Southern Kiwai", + "kje": "Kisar", + "kjg": "Khmu", + "kjh": "Khakas", + "kji": "Zabana", + "kjj": "Khinalugh", + "kjk": "Highland Konjo", + "kjl": "Western Parbate Kham", + "kjm": "Kháng", + "kjn": "Kunjen", + "kjo": "Harijan Kinnauri", + "kjp": "Pwo Eastern Karen", + "kjq": "Western Keres", + "kjr": "Kurudu", + "kjs": "East Kewa", + "kjt": "Phrae Pwo Karen", + "kju": "Kashaya", + "kjv": "Kaikavian Literary Language", + "kjx": "Ramopa", + "kjy": "Erave", + "kjz": "Bumthangkha", + "kk": "Kazakh", + "kka": "Kakanda", + "kkb": "Kwerisa", + "kkc": "Odoodee", + "kkd": "Kinuku", + "kke": "Kakabe", + "kkf": "Kalaktang Monpa", + "kkg": "Mabaka Valley Kalinga", + "kkh": "Khün", + "kki": "Kagulu", + "kkj": "Kako", + "kkk": "Kokota", + "kkl": "Kosarek Yale", + "kkm": "Kiong", + "kkn": "Kon Keu", + "kko": "Karko", + "kkp": "Gugubera; Koko-Bera", + "kkq": "Kaeku", + "kkr": "Kir-Balar", + "kks": "Giiwo", + "kkt": "Koi", + "kku": "Tumi", + "kkv": "Kangean", + "kkw": "Teke-Kukuya", + "kkx": "Kohin", + "kky": "Guugu Yimidhirr; Guguyimidjir", + "kkz": "Kaska", + "kl": "Kalaallisut; Greenlandic", + "kla": "Klamath-Modoc", + "klb": "Kiliwa", + "klc": "Kolbila", + "kld": "Gamilaraay", + "kle": "Kulung (Nepal)", + "klf": "Kendeje", + "klg": "Tagakaulo", + "klh": "Weliki", + "kli": "Kalumpang", + "klj": "Khalaj", + "klk": "Kono (Nigeria)", + "kll": "Kagan Kalagan", + "klm": "Migum", + "kln": "Kalenjin", + "klo": "Kapya", + "klp": "Kamasa", + "klq": "Rumu", + "klr": "Khaling", + "kls": "Kalasha", + "klt": "Nukna", + "klu": "Klao", + "klv": "Maskelynes", + "klw": "Tado; Lindu", + "klx": "Koluwawa", + "kly": "Kalao", + "klz": "Kabola", + "km": "Khmer; Central Khmer", + "kma": "Konni", + "kmb": "Kimbundu", + "kmc": "Southern Dong", + "kmd": "Majukayang Kalinga", + "kme": "Bakole", + "kmf": "Kare (Papua New Guinea)", + "kmg": "Kâte", + "kmh": "Kalam", + "kmi": "Kami (Nigeria)", + "kmj": "Kumarbhag Paharia", + "kmk": "Limos Kalinga", + "kml": "Tanudan Kalinga", + "kmm": "Kom (India)", + "kmn": "Awtuw", + "kmo": "Kwoma", + "kmp": "Gimme", + "kmq": "Kwama", + "kmr": "Northern Kurdish", + "kms": "Kamasau", + "kmt": "Kemtuik", + "kmu": "Kanite", + "kmv": "Karipúna Creole French", + "kmw": "Komo (Democratic Republic of Congo)", + "kmx": "Waboda", + "kmy": "Koma", + "kmz": "Khorasani Turkish", + "kn": "Kannada", + "kna": "Dera (Nigeria)", + "knb": "Lubuagan Kalinga", + "knc": "Central Kanuri", + "knd": "Konda", + "kne": "Kankanaey", + "knf": "Mankanya", + "kng": "Koongo", + "kni": "Kanufi", + "knj": "Western Kanjobal", + "knk": "Kuranko", + "knl": "Keninjal", + "knm": "Kanamarí", + "knn": "Konkani (individual language)", + "kno": "Kono (Sierra Leone)", + "knp": "Kwanja", + "knq": "Kintaq", + "knr": "Kaningra", + "kns": "Kensiu", + "knt": "Panoan Katukína", + "knu": "Kono (Guinea)", + "knv": "Tabo", + "knw": "Kung-Ekoka", + "knx": "Kendayan; Salako", + "kny": "Kanyok", + "knz": "Kalamsé", + "ko": "Korean", + "koa": "Konomala", + "koc": "Kpati", + "kod": "Kodi", + "koe": "Kacipo-Bale Suri", + "kof": "Kubi", + "kog": "Cogui; Kogi", + "koh": "Koyo", + "koi": "Komi-Permyak", + "kok": "Konkani (macrolanguage)", + "kol": "Kol (Papua New Guinea)", + "koo": "Konzo", + "kop": "Waube", + "koq": "Kota (Gabon)", + "kos": "Kosraean", + "kot": "Lagwan", + "kou": "Koke", + "kov": "Kudu-Camo", + "kow": "Kugama", + "koy": "Koyukon", + "koz": "Korak", + "kpa": "Kutto", + "kpb": "Mullu Kurumba", + "kpc": "Curripaco", + "kpd": "Koba", + "kpe": "Kpelle", + "kpf": "Komba", + "kpg": "Kapingamarangi", + "kph": "Kplang", + "kpi": "Kofei", + "kpj": "Karajá", + "kpk": "Kpan", + "kpl": "Kpala", + "kpm": "Koho", + "kpn": "Kepkiriwát", + "kpo": "Ikposo", + "kpq": "Korupun-Sela", + "kpr": "Korafe-Yegha", + "kps": "Tehit", + "kpt": "Karata", + "kpu": "Kafoa", + "kpv": "Komi-Zyrian", + "kpw": "Kobon", + "kpx": "Mountain Koiali", + "kpy": "Koryak", + "kpz": "Kupsabiny", + "kqa": "Mum", + "kqb": "Kovai", + "kqc": "Doromu-Koki", + "kqd": "Koy Sanjaq Surat", + "kqe": "Kalagan", + "kqf": "Kakabai", + "kqg": "Khe", + "kqh": "Kisankasa", + "kqi": "Koitabu", + "kqj": "Koromira", + "kqk": "Kotafon Gbe", + "kql": "Kyenele", + "kqm": "Khisa", + "kqn": "Kaonde", + "kqo": "Eastern Krahn", + "kqp": "Kimré", + "kqq": "Krenak", + "kqr": "Kimaragang", + "kqs": "Northern Kissi", + "kqt": "Klias River Kadazan", + "kqu": "Seroa", + "kqv": "Okolod", + "kqw": "Kandas", + "kqx": "Mser", + "kqy": "Koorete", + "kqz": "Korana", + "kr": "Kanuri", + "kra": "Kumhali", + "krb": "Karkin", + "krc": "Karachay-Balkar", + "krd": "Kairui-Midiki", + "kre": "Panará", + "krf": "Koro (Vanuatu)", + "krh": "Kurama", + "kri": "Krio", + "krj": "Kinaray-A", + "krk": "Kerek", + "krl": "Karelian", + "krn": "Sapo", + "kro": "Kru languages", + "krp": "Korop", + "krr": "Krung", + "krs": "Gbaya (Sudan)", + "krt": "Tumari Kanuri", + "kru": "Kurukh", + "krv": "Kavet", + "krw": "Western Krahn", + "krx": "Karon", + "kry": "Kryts", + "krz": "Sota Kanum", + "ks": "Kashmiri", + "ksa": "Shuwa-Zamani", + "ksb": "Shambala", + "ksc": "Southern Kalinga", + "ksd": "Kuanua", + "kse": "Kuni", + "ksf": "Bafia", + "ksg": "Kusaghe", + "ksh": "Kölsch", + "ksi": "Krisa; I'saka", + "ksj": "Uare", + "ksk": "Kansa", + "ksl": "Kumalu", + "ksm": "Kumba", + "ksn": "Kasiguranin", + "kso": "Kofa", + "ksp": "Kaba", + "ksq": "Kwaami", + "ksr": "Borong", + "kss": "Southern Kisi", + "kst": "Winyé", + "ksu": "Khamyang", + "ksv": "Kusu", + "ksw": "S'gaw Karen", + "ksx": "Kedang", + "ksy": "Kharia Thar", + "ksz": "Kodaku", + "kta": "Katua", + "ktb": "Kambaata", + "ktc": "Kholok", + "ktd": "Kokata; Kukatha", + "kte": "Nubri", + "ktf": "Kwami", + "ktg": "Kalkutung", + "kth": "Karanga", + "kti": "North Muyu", + "ktj": "Plapo Krumen", + "ktk": "Kaniet", + "ktl": "Koroshi", + "ktm": "Kurti", + "ktn": "Karitiâna", + "kto": "Kuot", + "ktp": "Kaduo", + "ktq": "Katabaga", + "kts": "South Muyu", + "ktt": "Ketum", + "ktu": "Kituba (Democratic Republic of Congo)", + "ktv": "Eastern Katu", + "ktw": "Kato", + "ktx": "Kaxararí", + "kty": "Kango (Bas-Uélé District)", + "ktz": "Juǀʼhoan; Juǀʼhoansi", + "ku": "Kurdish", + "kub": "Kutep", + "kuc": "Kwinsu", + "kud": "'Auhelawa", + "kue": "Kuman (Papua New Guinea)", + "kuf": "Western Katu", + "kug": "Kupa", + "kuh": "Kushi", + "kui": "Kuikúro-Kalapálo; Kalapalo", + "kuj": "Kuria", + "kuk": "Kepo'", + "kul": "Kulere", + "kum": "Kumyk", + "kun": "Kunama", + "kuo": "Kumukio", + "kup": "Kunimaipa", + "kuq": "Karipuna", + "kus": "Kusaal", + "kut": "Kutenai", + "kuu": "Upper Kuskokwim", + "kuv": "Kur", + "kuw": "Kpagua", + "kux": "Kukatja", + "kuy": "Kuuku-Ya'u", + "kuz": "Kunza", + "kv": "Komi", + "kva": "Bagvalal", + "kvb": "Kubu", + "kvc": "Kove", + "kvd": "Kui (Indonesia)", + "kve": "Kalabakan", + "kvf": "Kabalai", + "kvg": "Kuni-Boazi", + "kvh": "Komodo", + "kvi": "Kwang", + "kvj": "Psikye", + "kvk": "Korean Sign Language", + "kvl": "Kayaw", + "kvm": "Kendem", + "kvn": "Border Kuna", + "kvo": "Dobel", + "kvp": "Kompane", + "kvq": "Geba Karen", + "kvr": "Kerinci", + "kvt": "Lahta Karen; Lahta", + "kvu": "Yinbaw Karen", + "kvv": "Kola", + "kvw": "Wersing", + "kvx": "Parkari Koli", + "kvy": "Yintale Karen; Yintale", + "kvz": "Tsakwambo; Tsaukambo", + "kw": "Cornish", + "kwa": "Dâw", + "kwb": "Kwa", + "kwc": "Likwala", + "kwd": "Kwaio", + "kwe": "Kwerba", + "kwf": "Kwara'ae", + "kwg": "Sara Kaba Deme", + "kwh": "Kowiai", + "kwi": "Awa-Cuaiquer", + "kwj": "Kwanga", + "kwk": "Kwakiutl", + "kwl": "Kofyar", + "kwm": "Kwambi", + "kwn": "Kwangali", + "kwo": "Kwomtari", + "kwp": "Kodia", + "kwr": "Kwer", + "kws": "Kwese", + "kwt": "Kwesten", + "kwu": "Kwakum", + "kwv": "Sara Kaba Náà", + "kww": "Kwinti", + "kwx": "Khirwar", + "kwy": "San Salvador Kongo", + "kwz": "Kwadi", + "kxa": "Kairiru", + "kxb": "Krobu", + "kxc": "Konso; Khonso", + "kxd": "Brunei", + "kxf": "Manumanaw Karen; Manumanaw", + "kxh": "Karo (Ethiopia)", + "kxi": "Keningau Murut", + "kxj": "Kulfa", + "kxk": "Zayein Karen", + "kxm": "Northern Khmer", + "kxn": "Kanowit-Tanjong Melanau", + "kxo": "Kanoé", + "kxp": "Wadiyara Koli", + "kxq": "Smärky Kanum", + "kxr": "Koro (Papua New Guinea)", + "kxs": "Kangjia", + "kxt": "Koiwat", + "kxv": "Kuvi", + "kxw": "Konai", + "kxx": "Likuba", + "kxy": "Kayong", + "kxz": "Kerewo", + "ky": "Kirghiz; Kyrgyz", + "kya": "Kwaya", + "kyb": "Butbut Kalinga", + "kyc": "Kyaka", + "kyd": "Karey", + "kye": "Krache", + "kyf": "Kouya", + "kyg": "Keyagana", + "kyh": "Karok", + "kyi": "Kiput", + "kyj": "Karao", + "kyk": "Kamayo", + "kyl": "Kalapuya", + "kym": "Kpatili", + "kyn": "Northern Binukidnon", + "kyo": "Kelon", + "kyp": "Kang", + "kyq": "Kenga", + "kyr": "Kuruáya", + "kys": "Baram Kayan", + "kyt": "Kayagar", + "kyu": "Western Kayah", + "kyv": "Kayort", + "kyw": "Kudmali", + "kyx": "Rapoisi", + "kyy": "Kambaira", + "kyz": "Kayabí", + "kza": "Western Karaboro", + "kzb": "Kaibobo", + "kzc": "Bondoukou Kulango", + "kzd": "Kadai", + "kze": "Kosena", + "kzf": "Da'a Kaili", + "kzg": "Kikai", + "kzi": "Kelabit", + "kzk": "Kazukuru", + "kzl": "Kayeli", + "kzm": "Kais", + "kzn": "Kokola", + "kzo": "Kaningi", + "kzp": "Kaidipang", + "kzq": "Kaike", + "kzr": "Karang", + "kzs": "Sugut Dusun", + "kzu": "Kayupulau", + "kzv": "Komyandaret", + "kzw": "Karirí-Xocó", + "kzx": "Kamarian", + "kzy": "Kango (Tshopo District)", + "kzz": "Kalabra", + "la": "Latin", + "laa": "Southern Subanen", + "lab": "Linear A", + "lac": "Lacandon", + "lad": "Ladino", + "lae": "Pattani", + "laf": "Lafofa", + "lag": "Langi", + "lah": "Lahnda", + "lai": "Lambya", + "laj": "Lango (Uganda)", + "lal": "Lalia", + "lam": "Lamba", + "lan": "Laru", + "lap": "Laka (Chad)", + "laq": "Qabiao", + "lar": "Larteh", + "las": "Lama (Togo)", + "lau": "Laba", + "law": "Lauje", + "lax": "Tiwa", + "lay": "Lama Bai", + "laz": "Aribwatsa", + "lb": "Luxembourgish; Letzeburgesch", + "lbb": "Label", + "lbc": "Lakkia", + "lbe": "Lak", + "lbf": "Tinani", + "lbg": "Laopang", + "lbi": "La'bi", + "lbj": "Ladakhi", + "lbk": "Central Bontok", + "lbl": "Libon Bikol", + "lbm": "Lodhi", + "lbn": "Rmeet", + "lbo": "Laven", + "lbq": "Wampar", + "lbr": "Lohorung", + "lbs": "Libyan Sign Language", + "lbt": "Lachi", + "lbu": "Labu", + "lbv": "Lavatbura-Lamusong", + "lbw": "Tolaki", + "lbx": "Lawangan", + "lby": "Lamalama; Lamu-Lamu", + "lbz": "Lardil", + "lcc": "Legenyem", + "lcd": "Lola", + "lce": "Loncong; Sekak", + "lcf": "Lubu", + "lch": "Luchazi", + "lcl": "Lisela", + "lcm": "Tungag", + "lcp": "Western Lawa", + "lcq": "Luhu", + "lcs": "Lisabata-Nuniali", + "lda": "Kla-Dan", + "ldb": "Dũya", + "ldd": "Luri", + "ldg": "Lenyima", + "ldh": "Lamja-Dengsa-Tola", + "ldi": "Laari", + "ldj": "Lemoro", + "ldk": "Leelau", + "ldl": "Kaan", + "ldm": "Landoma", + "ldn": "Láadan", + "ldo": "Loo", + "ldp": "Tso", + "ldq": "Lufu", + "lea": "Lega-Shabunda", + "leb": "Lala-Bisa", + "lec": "Leco", + "led": "Lendu", + "lee": "Lyélé", + "lef": "Lelemi", + "leh": "Lenje", + "lei": "Lemio", + "lej": "Lengola", + "lek": "Leipon", + "lel": "Lele (Democratic Republic of Congo)", + "lem": "Nomaande", + "len": "Lenca", + "leo": "Leti (Cameroon)", + "lep": "Lepcha", + "leq": "Lembena", + "ler": "Lenkau", + "les": "Lese", + "let": "Lesing-Gelimi; Amio-Gelimi", + "leu": "Kara (Papua New Guinea)", + "lev": "Lamma", + "lew": "Ledo Kaili", + "lex": "Luang", + "ley": "Lemolang", + "lez": "Lezghian", + "lfa": "Lefa", + "lfn": "Lingua Franca Nova", + "lg": "Ganda; Luganda", + "lga": "Lungga", + "lgb": "Laghu", + "lgg": "Lugbara", + "lgh": "Laghuu", + "lgi": "Lengilu", + "lgk": "Lingarak; Neverver", + "lgl": "Wala", + "lgm": "Lega-Mwenga", + "lgn": "T'apo; Opuuo", + "lgo": "Lango (South Sudan)", + "lgq": "Logba", + "lgr": "Lengo", + "lgt": "Pahi", + "lgu": "Longgu", + "lgz": "Ligenza", + "lha": "Laha (Viet Nam)", + "lhh": "Laha (Indonesia)", + "lhi": "Lahu Shi", + "lhl": "Lahul Lohar", + "lhm": "Lhomi", + "lhn": "Lahanan", + "lhp": "Lhokpu", + "lhs": "Mlahsö", + "lht": "Lo-Toga", + "lhu": "Lahu", + "li": "Limburgan; Limburger; Limburgish", + "lia": "West-Central Limba", + "lib": "Likum", + "lic": "Hlai", + "lid": "Nyindrou", + "lie": "Likila", + "lif": "Limbu", + "lig": "Ligbi", + "lih": "Lihir", + "lij": "Ligurian", + "lik": "Lika", + "lil": "Lillooet", + "lio": "Liki", + "lip": "Sekpele", + "liq": "Libido", + "lir": "Liberian English", + "lis": "Lisu", + "liu": "Logorik", + "liv": "Liv", + "liw": "Col", + "lix": "Liabuku", + "liy": "Banda-Bambari", + "liz": "Libinza", + "lja": "Golpa", + "lje": "Rampi", + "lji": "Laiyolo", + "ljl": "Li'o", + "ljp": "Lampung Api", + "ljw": "Yirandali", + "ljx": "Yuru", + "lka": "Lakalei", + "lkb": "Kabras; Lukabaras", + "lkc": "Kucong", + "lkd": "Lakondê", + "lke": "Kenyi", + "lkh": "Lakha", + "lki": "Laki", + "lkj": "Remun", + "lkl": "Laeko-Libuat", + "lkm": "Kalaamaya", + "lkn": "Lakon; Vure", + "lko": "Khayo; Olukhayo", + "lkr": "Päri", + "lks": "Kisa; Olushisa", + "lkt": "Lakota", + "lku": "Kungkari", + "lky": "Lokoya", + "lla": "Lala-Roba", + "llb": "Lolo", + "llc": "Lele (Guinea)", + "lld": "Ladin", + "lle": "Lele (Papua New Guinea)", + "llf": "Hermit", + "llg": "Lole", + "llh": "Lamu", + "lli": "Teke-Laali", + "llj": "Ladji Ladji", + "llk": "Lelak", + "lll": "Lilau", + "llm": "Lasalimu", + "lln": "Lele (Chad)", + "llp": "North Efate", + "llq": "Lolak", + "lls": "Lithuanian Sign Language", + "llu": "Lau", + "llx": "Lauan", + "lma": "East Limba", + "lmb": "Merei", + "lmc": "Limilngan", + "lmd": "Lumun", + "lme": "Pévé", + "lmf": "South Lembata", + "lmg": "Lamogai", + "lmh": "Lambichhong", + "lmi": "Lombi", + "lmj": "West Lembata", + "lmk": "Lamkang", + "lml": "Hano", + "lmn": "Lambadi", + "lmo": "Lombard", + "lmp": "Limbum", + "lmq": "Lamatuka", + "lmr": "Lamalera", + "lmu": "Lamenu", + "lmv": "Lomaiviti", + "lmw": "Lake Miwok", + "lmx": "Laimbue", + "lmy": "Lamboya", + "ln": "Lingala", + "lna": "Langbashe", + "lnb": "Mbalanhu", + "lnd": "Lundayeh; Lun Bawang", + "lng": "Langobardic", + "lnh": "Lanoh", + "lni": "Daantanai'", + "lnj": "Leningitij", + "lnl": "South Central Banda", + "lnm": "Langam", + "lnn": "Lorediakarkar", + "lns": "Lamnso'", + "lnu": "Longuda", + "lnw": "Lanima", + "lnz": "Lonzo", + "lo": "Lao", + "loa": "Loloda", + "lob": "Lobi", + "loc": "Inonhan", + "loe": "Saluan", + "lof": "Logol", + "log": "Logo", + "loh": "Narim", + "loi": "Loma (Côte d'Ivoire)", + "loj": "Lou", + "lok": "Loko", + "lol": "Mongo", + "lom": "Loma (Liberia)", + "lon": "Malawi Lomwe", + "loo": "Lombo", + "lop": "Lopa", + "loq": "Lobala", + "lor": "Téén", + "los": "Loniu", + "lot": "Otuho", + "lou": "Louisiana Creole", + "lov": "Lopi", + "low": "Tampias Lobu", + "lox": "Loun", + "loy": "Loke", + "loz": "Lozi", + "lpa": "Lelepa", + "lpe": "Lepki", + "lpn": "Long Phuri Naga", + "lpo": "Lipo", + "lpx": "Lopit", + "lqr": "Logir", + "lra": "Rara Bakati'", + "lrc": "Northern Luri", + "lre": "Laurentian", + "lrg": "Laragia", + "lri": "Marachi; Olumarachi", + "lrk": "Loarki", + "lrl": "Lari", + "lrm": "Marama; Olumarama", + "lrn": "Lorang", + "lro": "Laro", + "lrr": "Southern Yamphu", + "lrt": "Larantuka Malay", + "lrv": "Larevat", + "lrz": "Lemerig", + "lsa": "Lasgerdi", + "lsb": "Burundian Sign Language; Langue des Signes Burundaise", + "lsc": "Albarradas Sign Language; Lengua de señas Albarradas", + "lsd": "Lishana Deni", + "lse": "Lusengo", + "lsh": "Lish", + "lsi": "Lashi", + "lsl": "Latvian Sign Language", + "lsm": "Saamia; Olusamia", + "lsn": "Tibetan Sign Language", + "lso": "Laos Sign Language", + "lsp": "Panamanian Sign Language; Lengua de Señas Panameñas", + "lsr": "Aruop", + "lss": "Lasi", + "lst": "Trinidad and Tobago Sign Language", + "lsv": "Sivia Sign Language", + "lsw": "Seychelles Sign Language; Lalang Siny Seselwa; Langue des Signes Seychelloise", + "lsy": "Mauritian Sign Language", + "lt": "Lithuanian", + "ltc": "Late Middle Chinese", + "ltg": "Latgalian", + "lth": "Thur", + "lti": "Leti (Indonesia)", + "ltn": "Latundê", + "lto": "Tsotso; Olutsotso", + "lts": "Tachoni; Lutachoni", + "ltu": "Latu", + "lu": "Luba-Katanga", + "lua": "Luba-Lulua", + "luc": "Aringa", + "lud": "Ludian", + "lue": "Luvale", + "luf": "Laua", + "lui": "Luiseno", + "luj": "Luna", + "luk": "Lunanakha", + "lul": "Olu'bo", + "lum": "Luimbi", + "lun": "Lunda", + "luo": "Luo (Kenya and Tanzania); Dholuo", + "lup": "Lumbu", + "luq": "Lucumi", + "lur": "Laura", + "lus": "Lushai", + "lut": "Lushootseed", + "luu": "Lumba-Yakkha", + "luv": "Luwati", + "luw": "Luo (Cameroon)", + "luy": "Luyia; Oluluyia", + "luz": "Southern Luri", + "lv": "Latvian", + "lva": "Maku'a", + "lvi": "Lavi", + "lvk": "Lavukaleve", + "lvs": "Standard Latvian", + "lvu": "Levuka", + "lwa": "Lwalu", + "lwe": "Lewo Eleng", + "lwg": "Wanga; Oluwanga", + "lwh": "White Lachi", + "lwl": "Eastern Lawa", + "lwm": "Laomian", + "lwo": "Luwo", + "lws": "Malawian Sign Language", + "lwt": "Lewotobi", + "lwu": "Lawu", + "lww": "Lewo", + "lxm": "Lakurumau", + "lya": "Layakha", + "lyg": "Lyngngam", + "lyn": "Luyana", + "lzh": "Literary Chinese", + "lzl": "Litzlitz", + "lzn": "Leinong Naga", + "lzz": "Laz", + "maa": "San Jerónimo Tecóatl Mazatec", + "mab": "Yutanduchi Mixtec", + "mad": "Madurese", + "mae": "Bo-Rukul", + "maf": "Mafa", + "mag": "Magahi", + "mai": "Maithili", + "maj": "Jalapa De Díaz Mazatec", + "mak": "Makasar", + "mam": "Mam", + "man": "Mandingo; Manding", + "map": "Austronesian languages", + "maq": "Chiquihuitlán Mazatec", + "mas": "Masai", + "mat": "San Francisco Matlatzinca", + "mau": "Huautla Mazatec", + "mav": "Sateré-Mawé", + "maw": "Mampruli", + "max": "North Moluccan Malay", + "maz": "Central Mazahua", + "mba": "Higaonon", + "mbb": "Western Bukidnon Manobo", + "mbc": "Macushi", + "mbd": "Dibabawon Manobo", + "mbe": "Molale", + "mbf": "Baba Malay", + "mbh": "Mangseng", + "mbi": "Ilianen Manobo", + "mbj": "Nadëb", + "mbk": "Malol", + "mbl": "Maxakalí", + "mbm": "Ombamba", + "mbn": "Macaguán", + "mbo": "Mbo (Cameroon)", + "mbp": "Malayo", + "mbq": "Maisin", + "mbr": "Nukak Makú", + "mbs": "Sarangani Manobo", + "mbt": "Matigsalug Manobo", + "mbu": "Mbula-Bwazza", + "mbv": "Mbulungish", + "mbw": "Maring", + "mbx": "Mari (East Sepik Province)", + "mby": "Memoni", + "mbz": "Amoltepec Mixtec", + "mca": "Maca", + "mcb": "Machiguenga", + "mcc": "Bitur", + "mcd": "Sharanahua", + "mce": "Itundujia Mixtec", + "mcf": "Matsés", + "mcg": "Mapoyo", + "mch": "Maquiritari", + "mci": "Mese", + "mcj": "Mvanip", + "mck": "Mbunda", + "mcl": "Macaguaje", + "mcm": "Malaccan Creole Portuguese", + "mcn": "Masana", + "mco": "Coatlán Mixe", + "mcp": "Makaa", + "mcq": "Ese", + "mcr": "Menya", + "mcs": "Mambai", + "mct": "Mengisa", + "mcu": "Cameroon Mambila", + "mcv": "Minanibai", + "mcw": "Mawa (Chad)", + "mcx": "Mpiemo", + "mcy": "South Watut", + "mcz": "Mawan", + "mda": "Mada (Nigeria)", + "mdb": "Morigi", + "mdc": "Male (Papua New Guinea)", + "mdd": "Mbum", + "mde": "Maba (Chad)", + "mdf": "Moksha", + "mdg": "Massalat", + "mdh": "Maguindanaon", + "mdi": "Mamvu", + "mdj": "Mangbetu", + "mdk": "Mangbutu", + "mdl": "Maltese Sign Language", + "mdm": "Mayogo", + "mdn": "Mbati", + "mdp": "Mbala", + "mdq": "Mbole", + "mdr": "Mandar", + "mds": "Maria (Papua New Guinea)", + "mdt": "Mbere", + "mdu": "Mboko", + "mdv": "Santa Lucía Monteverde Mixtec", + "mdw": "Mbosi", + "mdx": "Dizin", + "mdy": "Male (Ethiopia)", + "mdz": "Suruí Do Pará", + "mea": "Menka", + "meb": "Ikobi", + "mec": "Marra", + "med": "Melpa", + "mee": "Mengen", + "mef": "Megam", + "meh": "Southwestern Tlaxiaco Mixtec", + "mei": "Midob", + "mej": "Meyah", + "mek": "Mekeo", + "mel": "Central Melanau", + "mem": "Mangala", + "men": "Mende (Sierra Leone)", + "meo": "Kedah Malay", + "mep": "Miriwoong", + "meq": "Merey", + "mer": "Meru", + "mes": "Masmaje", + "met": "Mato", + "meu": "Motu", + "mev": "Mano", + "mew": "Maaka", + "mey": "Hassaniyya", + "mez": "Menominee", + "mfa": "Pattani Malay", + "mfb": "Bangka", + "mfc": "Mba", + "mfd": "Mendankwe-Nkwen", + "mfe": "Morisyen", + "mff": "Naki", + "mfg": "Mogofin", + "mfh": "Matal", + "mfi": "Wandala", + "mfj": "Mefele", + "mfk": "North Mofu", + "mfl": "Putai", + "mfm": "Marghi South", + "mfn": "Cross River Mbembe", + "mfo": "Mbe", + "mfp": "Makassar Malay", + "mfq": "Moba", + "mfr": "Marrithiyel", + "mfs": "Mexican Sign Language", + "mft": "Mokerang", + "mfu": "Mbwela", + "mfv": "Mandjak", + "mfw": "Mulaha", + "mfx": "Melo", + "mfy": "Mayo", + "mfz": "Mabaan", + "mg": "Malagasy", + "mga": "Middle Irish (900-1200)", + "mgb": "Mararit", + "mgc": "Morokodo", + "mgd": "Moru", + "mge": "Mango", + "mgf": "Maklew", + "mgg": "Mpumpong", + "mgh": "Makhuwa-Meetto", + "mgi": "Lijili", + "mgj": "Abureni", + "mgk": "Mawes", + "mgl": "Maleu-Kilenge", + "mgm": "Mambae", + "mgn": "Mbangi", + "mgo": "Meta'", + "mgp": "Eastern Magar", + "mgq": "Malila", + "mgr": "Mambwe-Lungu", + "mgs": "Manda (Tanzania)", + "mgt": "Mongol", + "mgu": "Mailu", + "mgv": "Matengo", + "mgw": "Matumbi", + "mgy": "Mbunga", + "mgz": "Mbugwe", + "mh": "Marshallese", + "mha": "Manda (India)", + "mhb": "Mahongwe", + "mhc": "Mocho", + "mhd": "Mbugu", + "mhe": "Besisi; Mah Meri", + "mhf": "Mamaa", + "mhg": "Margu", + "mhi": "Ma'di", + "mhj": "Mogholi", + "mhk": "Mungaka", + "mhl": "Mauwake", + "mhm": "Makhuwa-Moniga", + "mhn": "Mócheno", + "mho": "Mashi (Zambia)", + "mhp": "Balinese Malay", + "mhq": "Mandan", + "mhr": "Eastern Mari", + "mhs": "Buru (Indonesia)", + "mht": "Mandahuaca", + "mhu": "Digaro-Mishmi; Darang Deng", + "mhw": "Mbukushu", + "mhx": "Maru; Lhaovo", + "mhy": "Ma'anyan", + "mhz": "Mor (Mor Islands)", + "mi": "Maori", + "mia": "Miami", + "mib": "Atatláhuca Mixtec", + "mic": "Mi'kmaq; Micmac", + "mid": "Mandaic", + "mie": "Ocotepec Mixtec", + "mif": "Mofu-Gudur", + "mig": "San Miguel El Grande Mixtec", + "mih": "Chayuco Mixtec", + "mii": "Chigmecatitlán Mixtec", + "mij": "Abar; Mungbam", + "mik": "Mikasuki", + "mil": "Peñoles Mixtec", + "mim": "Alacatlatzala Mixtec", + "min": "Minangkabau", + "mio": "Pinotepa Nacional Mixtec", + "mip": "Apasco-Apoala Mixtec", + "miq": "Mískito", + "mir": "Isthmus Mixe", + "mit": "Southern Puebla Mixtec", + "miu": "Cacaloxtepec Mixtec", + "miw": "Akoye", + "mix": "Mixtepec Mixtec", + "miy": "Ayutla Mixtec", + "miz": "Coatzospan Mixtec", + "mjb": "Makalero", + "mjc": "San Juan Colorado Mixtec", + "mjd": "Northwest Maidu", + "mje": "Muskum", + "mjg": "Tu", + "mjh": "Mwera (Nyasa)", + "mji": "Kim Mun", + "mjj": "Mawak", + "mjk": "Matukar", + "mjl": "Mandeali", + "mjm": "Medebur", + "mjn": "Ma (Papua New Guinea)", + "mjo": "Malankuravan", + "mjp": "Malapandaram", + "mjq": "Malaryan", + "mjr": "Malavedan", + "mjs": "Miship", + "mjt": "Sauria Paharia", + "mju": "Manna-Dora", + "mjv": "Mannan", + "mjw": "Karbi", + "mjx": "Mahali", + "mjy": "Mahican", + "mjz": "Majhi", + "mk": "Macedonian", + "mka": "Mbre", + "mkb": "Mal Paharia", + "mkc": "Siliput", + "mke": "Mawchi", + "mkf": "Miya", + "mkg": "Mak (China)", + "mkh": "Mon-Khmer languages", + "mki": "Dhatki", + "mkj": "Mokilese", + "mkk": "Byep", + "mkl": "Mokole", + "mkm": "Moklen", + "mkn": "Kupang Malay", + "mko": "Mingang Doso", + "mkp": "Moikodi", + "mkq": "Bay Miwok", + "mkr": "Malas", + "mks": "Silacayoapan Mixtec", + "mkt": "Vamale", + "mku": "Konyanka Maninka", + "mkv": "Mafea", + "mkw": "Kituba (Congo)", + "mkx": "Kinamiging Manobo", + "mky": "East Makian", + "mkz": "Makasae", + "ml": "Malayalam", + "mla": "Malo", + "mlb": "Mbule", + "mlc": "Cao Lan", + "mle": "Manambu", + "mlf": "Mal", + "mlh": "Mape", + "mli": "Malimpung", + "mlj": "Miltu", + "mlk": "Ilwana; Kiwilwana", + "mll": "Malua Bay", + "mlm": "Mulam", + "mln": "Malango", + "mlo": "Mlomp", + "mlp": "Bargam", + "mlq": "Western Maninkakan", + "mlr": "Vame", + "mls": "Masalit", + "mlu": "To'abaita", + "mlv": "Motlav; Mwotlap", + "mlw": "Moloko", + "mlx": "Malfaxal; Naha'ai", + "mlz": "Malaynon", + "mma": "Mama", + "mmb": "Momina", + "mmc": "Michoacán Mazahua", + "mmd": "Maonan", + "mme": "Mae", + "mmf": "Mundat", + "mmg": "North Ambrym", + "mmh": "Mehináku", + "mmi": "Musar", + "mmj": "Majhwar", + "mmk": "Mukha-Dora", + "mml": "Man Met", + "mmm": "Maii", + "mmn": "Mamanwa", + "mmo": "Mangga Buang", + "mmp": "Siawi", + "mmq": "Musak", + "mmr": "Western Xiangxi Miao", + "mmt": "Malalamai", + "mmu": "Mmaala", + "mmv": "Miriti", + "mmw": "Emae", + "mmx": "Madak", + "mmy": "Migaama", + "mmz": "Mabaale", + "mn": "Mongolian", + "mna": "Mbula", + "mnb": "Muna", + "mnc": "Manchu", + "mnd": "Mondé", + "mne": "Naba", + "mnf": "Mundani", + "mng": "Eastern Mnong", + "mnh": "Mono (Democratic Republic of Congo)", + "mni": "Manipuri", + "mnj": "Munji", + "mnk": "Mandinka", + "mnl": "Tiale", + "mnm": "Mapena", + "mnn": "Southern Mnong", + "mno": "Manobo languages", + "mnp": "Min Bei Chinese", + "mnq": "Minriq", + "mnr": "Mono (USA)", + "mns": "Mansi", + "mnu": "Mer", + "mnv": "Rennell-Bellona", + "mnw": "Mon", + "mnx": "Manikion", + "mny": "Manyawa", + "mnz": "Moni", + "moa": "Mwan", + "moc": "Mocoví", + "mod": "Mobilian", + "moe": "Innu; Montagnais", + "mog": "Mongondow", + "moh": "Mohawk", + "moi": "Mboi", + "moj": "Monzombo", + "mok": "Morori", + "mom": "Mangue", + "moo": "Monom", + "mop": "Mopán Maya", + "moq": "Mor (Bomberai Peninsula)", + "mor": "Moro", + "mos": "Mossi", + "mot": "Barí", + "mou": "Mogum", + "mov": "Mohave", + "mow": "Moi (Congo)", + "mox": "Molima", + "moy": "Shekkacho", + "moz": "Mukulu; Gergiko", + "mpa": "Mpoto", + "mpb": "Malak Malak; Mullukmulluk", + "mpc": "Mangarrayi", + "mpd": "Machinere", + "mpe": "Majang", + "mpg": "Marba", + "mph": "Maung", + "mpi": "Mpade", + "mpj": "Martu Wangka; Wangkajunga", + "mpk": "Mbara (Chad)", + "mpl": "Middle Watut", + "mpm": "Yosondúa Mixtec", + "mpn": "Mindiri", + "mpo": "Miu", + "mpp": "Migabac", + "mpq": "Matís", + "mpr": "Vangunu", + "mps": "Dadibi", + "mpt": "Mian", + "mpu": "Makuráp", + "mpv": "Mungkip", + "mpw": "Mapidian", + "mpx": "Misima-Panaeati", + "mpy": "Mapia", + "mpz": "Mpi", + "mqa": "Maba (Indonesia)", + "mqb": "Mbuko", + "mqc": "Mangole", + "mqe": "Matepi", + "mqf": "Momuna", + "mqg": "Kota Bangun Kutai Malay", + "mqh": "Tlazoyaltepec Mixtec", + "mqi": "Mariri", + "mqj": "Mamasa", + "mqk": "Rajah Kabunsuwan Manobo", + "mql": "Mbelime", + "mqm": "South Marquesan", + "mqn": "Moronene", + "mqo": "Modole", + "mqp": "Manipa", + "mqq": "Minokok", + "mqr": "Mander", + "mqs": "West Makian", + "mqt": "Mok", + "mqu": "Mandari", + "mqv": "Mosimo", + "mqw": "Murupi", + "mqx": "Mamuju", + "mqy": "Manggarai", + "mqz": "Pano", + "mr": "Marathi", + "mra": "Mlabri", + "mrb": "Marino", + "mrc": "Maricopa", + "mrd": "Western Magar", + "mre": "Martha's Vineyard Sign Language", + "mrf": "Elseng", + "mrg": "Mising", + "mrh": "Mara Chin", + "mrj": "Western Mari", + "mrk": "Hmwaveke", + "mrl": "Mortlockese", + "mrm": "Merlav; Mwerlap", + "mrn": "Cheke Holo", + "mro": "Mru", + "mrp": "Morouas", + "mrq": "North Marquesan", + "mrr": "Maria (India)", + "mrs": "Maragus", + "mrt": "Marghi Central", + "mru": "Mono (Cameroon)", + "mrv": "Mangareva", + "mrw": "Maranao", + "mrx": "Maremgi; Dineor", + "mry": "Mandaya", + "mrz": "Marind", + "ms": "Malay (macrolanguage)", + "msb": "Masbatenyo", + "msc": "Sankaran Maninka", + "msd": "Yucatec Maya Sign Language", + "mse": "Musey", + "msf": "Mekwei", + "msg": "Moraid", + "msh": "Masikoro Malagasy", + "msi": "Sabah Malay", + "msj": "Ma (Democratic Republic of Congo)", + "msk": "Mansaka", + "msl": "Molof; Poule", + "msm": "Agusan Manobo", + "msn": "Vurës", + "mso": "Mombum", + "msp": "Maritsauá", + "msq": "Caac", + "msr": "Mongolian Sign Language", + "mss": "West Masela", + "msu": "Musom", + "msv": "Maslam", + "msw": "Mansoanka", + "msx": "Moresada", + "msy": "Aruamu", + "msz": "Momare", + "mt": "Maltese", + "mta": "Cotabato Manobo", + "mtb": "Anyin Morofo", + "mtc": "Munit", + "mtd": "Mualang", + "mte": "Mono (Solomon Islands)", + "mtf": "Murik (Papua New Guinea)", + "mtg": "Una", + "mth": "Munggui", + "mti": "Maiwa (Papua New Guinea)", + "mtj": "Moskona", + "mtk": "Mbe'", + "mtl": "Montol", + "mtm": "Mator", + "mtn": "Matagalpa", + "mto": "Totontepec Mixe", + "mtp": "Wichí Lhamtés Nocten", + "mtq": "Muong", + "mtr": "Mewari", + "mts": "Yora", + "mtt": "Mota", + "mtu": "Tututepec Mixtec", + "mtv": "Asaro'o", + "mtw": "Southern Binukidnon", + "mtx": "Tidaá Mixtec", + "mty": "Nabi", + "mua": "Mundang", + "mub": "Mubi", + "muc": "Ajumbu", + "mud": "Mednyj Aleut", + "mue": "Media Lengua", + "mug": "Musgu", + "muh": "Mündü", + "mui": "Musi", + "muj": "Mabire", + "muk": "Mugom", + "mum": "Maiwala", + "mun": "Munda languages", + "muo": "Nyong", + "mup": "Malvi", + "muq": "Eastern Xiangxi Miao", + "mur": "Murle", + "mus": "Creek", + "mut": "Western Muria", + "muu": "Yaaku", + "muv": "Muthuvan", + "mux": "Bo-Ung", + "muy": "Muyang", + "muz": "Mursi", + "mva": "Manam", + "mvb": "Mattole", + "mvd": "Mamboru", + "mve": "Marwari (Pakistan)", + "mvf": "Peripheral Mongolian", + "mvg": "Yucuañe Mixtec", + "mvh": "Mulgi", + "mvi": "Miyako", + "mvk": "Mekmek", + "mvl": "Mbara (Australia)", + "mvn": "Minaveha", + "mvo": "Marovo", + "mvp": "Duri", + "mvq": "Moere", + "mvr": "Marau", + "mvs": "Massep", + "mvt": "Mpotovoro", + "mvu": "Marfa", + "mvv": "Tagal Murut", + "mvw": "Machinga", + "mvx": "Meoswar", + "mvy": "Indus Kohistani", + "mvz": "Mesqan", + "mwa": "Mwatebu", + "mwb": "Juwal", + "mwc": "Are", + "mwe": "Mwera (Chimwera)", + "mwf": "Murrinh-Patha", + "mwg": "Aiklep", + "mwh": "Mouk-Aria", + "mwi": "Labo; Ninde", + "mwk": "Kita Maninkakan", + "mwl": "Mirandese", + "mwm": "Sar", + "mwn": "Nyamwanga", + "mwo": "Central Maewo", + "mwp": "Kala Lagaw Ya", + "mwq": "Mün Chin", + "mwr": "Marwari", + "mws": "Mwimbi-Muthambi", + "mwt": "Moken", + "mwu": "Mittu", + "mwv": "Mentawai", + "mww": "Hmong Daw", + "mwz": "Moingi", + "mxa": "Northwest Oaxaca Mixtec", + "mxb": "Tezoatlán Mixtec", + "mxc": "Manyika", + "mxd": "Modang", + "mxe": "Mele-Fila", + "mxf": "Malgbe", + "mxg": "Mbangala", + "mxh": "Mvuba", + "mxi": "Mozarabic", + "mxj": "Miju-Mishmi; Geman Deng", + "mxk": "Monumbo", + "mxl": "Maxi Gbe", + "mxm": "Meramera", + "mxn": "Moi (Indonesia)", + "mxo": "Mbowe", + "mxp": "Tlahuitoltepec Mixe", + "mxq": "Juquila Mixe", + "mxr": "Murik (Malaysia)", + "mxs": "Huitepec Mixtec", + "mxt": "Jamiltepec Mixtec", + "mxu": "Mada (Cameroon)", + "mxv": "Metlatónoc Mixtec", + "mxw": "Namo", + "mxx": "Mahou; Mawukakan", + "mxy": "Southeastern Nochixtlán Mixtec", + "mxz": "Central Masela", + "my": "Burmese", + "myb": "Mbay", + "myc": "Mayeka", + "mye": "Myene", + "myf": "Bambassi", + "myg": "Manta", + "myh": "Makah", + "myj": "Mangayat", + "myk": "Mamara Senoufo", + "myl": "Moma", + "mym": "Me'en", + "myn": "Mayan languages", + "myo": "Anfillo", + "myp": "Pirahã", + "myr": "Muniche", + "mys": "Mesmes", + "myu": "Mundurukú", + "myv": "Erzya", + "myw": "Muyuw", + "myx": "Masaaba", + "myy": "Macuna", + "myz": "Classical Mandaic", + "mza": "Santa María Zacatepec Mixtec", + "mzb": "Tumzabt", + "mzc": "Madagascar Sign Language", + "mzd": "Malimba", + "mze": "Morawa", + "mzg": "Monastic Sign Language", + "mzh": "Wichí Lhamtés Güisnay", + "mzi": "Ixcatlán Mazatec", + "mzj": "Manya", + "mzk": "Nigeria Mambila", + "mzl": "Mazatlán Mixe", + "mzm": "Mumuye", + "mzn": "Mazanderani", + "mzo": "Matipuhy", + "mzp": "Movima", + "mzq": "Mori Atas", + "mzr": "Marúbo", + "mzs": "Macanese", + "mzt": "Mintil", + "mzu": "Inapang", + "mzv": "Manza", + "mzw": "Deg", + "mzx": "Mawayana", + "mzy": "Mozambican Sign Language", + "mzz": "Maiadomu", + "na": "Nauru", + "naa": "Namla", + "nab": "Southern Nambikuára", + "nac": "Narak", + "nae": "Naka'ela", + "naf": "Nabak", + "nag": "Naga Pidgin", + "nah": "Nahuatl languages", + "nai": "North American Indian languages", + "naj": "Nalu", + "nak": "Nakanai", + "nal": "Nalik", + "nam": "Ngan'gityemerri", + "nan": "Min Nan Chinese", + "nao": "Naaba", + "nap": "Neapolitan", + "naq": "Khoekhoe; Nama (Namibia)", + "nar": "Iguta", + "nas": "Naasioi", + "nat": "Ca̱hungwa̱rya̱; Hungworo", + "naw": "Nawuri", + "nax": "Nakwi", + "nay": "Ngarrindjeri", + "naz": "Coatepec Nahuatl", + "nb": "Norwegian Bokmål", + "nba": "Nyemba", + "nbb": "Ndoe", + "nbc": "Chang Naga", + "nbd": "Ngbinda", + "nbe": "Konyak Naga", + "nbg": "Nagarchal", + "nbh": "Ngamo", + "nbi": "Mao Naga", + "nbj": "Ngarinyman", + "nbk": "Nake", + "nbm": "Ngbaka Ma'bo", + "nbn": "Kuri", + "nbo": "Nkukoli", + "nbp": "Nnam", + "nbq": "Nggem", + "nbr": "Numana", + "nbs": "Namibian Sign Language", + "nbt": "Na", + "nbu": "Rongmei Naga", + "nbv": "Ngamambo", + "nbw": "Southern Ngbandi", + "nby": "Ningera", + "nca": "Iyo", + "ncb": "Central Nicobarese", + "ncc": "Ponam", + "ncd": "Nachering", + "nce": "Yale", + "ncf": "Notsi", + "ncg": "Nisga'a", + "nch": "Central Huasteca Nahuatl", + "nci": "Classical Nahuatl", + "ncj": "Northern Puebla Nahuatl", + "nck": "Na-kara", + "ncl": "Michoacán Nahuatl", + "ncm": "Nambo", + "ncn": "Nauna", + "nco": "Sibe", + "ncq": "Northern Katang", + "ncr": "Ncane", + "ncs": "Nicaraguan Sign Language", + "nct": "Chothe Naga", + "ncu": "Chumburung", + "ncx": "Central Puebla Nahuatl", + "ncz": "Natchez", + "nd": "North Ndebele", + "nda": "Ndasa", + "ndb": "Kenswei Nsei", + "ndc": "Ndau", + "ndd": "Nde-Nsele-Nta", + "ndf": "Nadruvian", + "ndg": "Ndengereko", + "ndh": "Ndali", + "ndi": "Samba Leko", + "ndj": "Ndamba", + "ndk": "Ndaka", + "ndl": "Ndolo", + "ndm": "Ndam", + "ndn": "Ngundi", + "ndp": "Ndo", + "ndq": "Ndombe", + "ndr": "Ndoola", + "nds": "Low German; Low Saxon", + "ndt": "Ndunga", + "ndu": "Dugun", + "ndv": "Ndut", + "ndw": "Ndobo", + "ndx": "Nduga", + "ndy": "Lutos", + "ndz": "Ndogo", + "ne": "Nepali (macrolanguage)", + "nea": "Eastern Ngad'a", + "neb": "Toura (Côte d'Ivoire)", + "nec": "Nedebang", + "ned": "Nde-Gbite", + "nee": "Nêlêmwa-Nixumwak", + "nef": "Nefamese", + "neg": "Negidal", + "neh": "Nyenkha", + "nei": "Neo-Hittite", + "nej": "Neko", + "nek": "Neku", + "nem": "Nemi", + "nen": "Nengone", + "neo": "Ná-Meo", + "neq": "North Central Mixe", + "ner": "Yahadian", + "nes": "Bhoti Kinnauri", + "net": "Nete", + "neu": "Neo", + "nev": "Nyaheun", + "new": "Newari; Nepal Bhasa", + "nex": "Neme", + "ney": "Neyo", + "nez": "Nez Perce", + "nfa": "Dhao", + "nfd": "Ahwai", + "nfl": "Ayiwo; Äiwoo", + "nfr": "Nafaanra", + "nfu": "Mfumte", + "ng": "Ndonga", + "nga": "Ngbaka", + "ngb": "Northern Ngbandi", + "ngc": "Ngombe (Democratic Republic of Congo)", + "ngd": "Ngando (Central African Republic)", + "nge": "Ngemba", + "ngf": "Trans-New Guinea languages", + "ngg": "Ngbaka Manza", + "ngh": "Nǁng", + "ngi": "Ngizim", + "ngj": "Ngie", + "ngk": "Dalabon", + "ngl": "Lomwe", + "ngm": "Ngatik Men's Creole", + "ngn": "Ngwo", + "ngp": "Ngulu", + "ngq": "Ngurimi; Ngoreme", + "ngr": "Engdewu", + "ngs": "Gvoko", + "ngt": "Kriang; Ngeq", + "ngu": "Guerrero Nahuatl", + "ngv": "Nagumi", + "ngw": "Ngwaba", + "ngx": "Nggwahyi", + "ngy": "Tibea", + "ngz": "Ngungwel", + "nha": "Nhanda", + "nhb": "Beng", + "nhc": "Tabasco Nahuatl", + "nhd": "Chiripá; Ava Guaraní", + "nhe": "Eastern Huasteca Nahuatl", + "nhf": "Nhuwala", + "nhg": "Tetelcingo Nahuatl", + "nhh": "Nahari", + "nhi": "Zacatlán-Ahuacatlán-Tepetzintla Nahuatl", + "nhk": "Isthmus-Cosoleacaque Nahuatl", + "nhm": "Morelos Nahuatl", + "nhn": "Central Nahuatl", + "nho": "Takuu", + "nhp": "Isthmus-Pajapan Nahuatl", + "nhq": "Huaxcaleca Nahuatl", + "nhr": "Naro", + "nht": "Ometepec Nahuatl", + "nhu": "Noone", + "nhv": "Temascaltepec Nahuatl", + "nhw": "Western Huasteca Nahuatl", + "nhx": "Isthmus-Mecayapan Nahuatl", + "nhy": "Northern Oaxaca Nahuatl", + "nhz": "Santa María La Alta Nahuatl", + "nia": "Nias", + "nib": "Nakame", + "nic": "Niger-Kordofanian languages", + "nid": "Ngandi", + "nie": "Niellim", + "nif": "Nek", + "nig": "Ngalakgan", + "nih": "Nyiha (Tanzania)", + "nii": "Nii", + "nij": "Ngaju", + "nik": "Southern Nicobarese", + "nil": "Nila", + "nim": "Nilamba", + "nin": "Ninzo", + "nio": "Nganasan", + "niq": "Nandi", + "nir": "Nimboran", + "nis": "Nimi", + "nit": "Southeastern Kolami", + "niu": "Niuean", + "niv": "Gilyak", + "niw": "Nimo", + "nix": "Hema", + "niy": "Ngiti", + "niz": "Ningil", + "nja": "Nzanyi", + "njb": "Nocte Naga", + "njd": "Ndonde Hamba", + "njh": "Lotha Naga", + "nji": "Gudanji", + "njj": "Njen", + "njl": "Njalgulgule", + "njm": "Angami Naga", + "njn": "Liangmai Naga", + "njo": "Ao Naga", + "njr": "Njerep", + "njs": "Nisa", + "njt": "Ndyuka-Trio Pidgin", + "nju": "Ngadjunmaya", + "njx": "Kunyi", + "njy": "Njyem", + "njz": "Nyishi", + "nka": "Nkoya", + "nkb": "Khoibu Naga", + "nkc": "Nkongho", + "nkd": "Koireng", + "nke": "Duke", + "nkf": "Inpui Naga", + "nkg": "Nekgini", + "nkh": "Khezha Naga", + "nki": "Thangal Naga", + "nkj": "Nakai", + "nkk": "Nokuku", + "nkm": "Namat", + "nkn": "Nkangala", + "nko": "Nkonya", + "nkp": "Niuatoputapu", + "nkq": "Nkami", + "nkr": "Nukuoro", + "nks": "North Asmat", + "nkt": "Nyika (Tanzania)", + "nku": "Bouna Kulango", + "nkv": "Nyika (Malawi and Zambia)", + "nkw": "Nkutu", + "nkx": "Nkoroo", + "nkz": "Nkari", + "nl": "Dutch; Flemish", + "nla": "Ngombale", + "nlc": "Nalca", + "nle": "East Nyala", + "nlg": "Gela", + "nli": "Grangali", + "nlj": "Nyali", + "nlk": "Ninia Yali", + "nll": "Nihali", + "nlm": "Mankiyali", + "nlo": "Ngul", + "nlq": "Lao Naga", + "nlu": "Nchumbulu", + "nlv": "Orizaba Nahuatl", + "nlw": "Walangama", + "nlx": "Nahali", + "nly": "Nyamal", + "nlz": "Nalögo", + "nma": "Maram Naga", + "nmb": "Big Nambas; V'ënen Taut", + "nmc": "Ngam", + "nmd": "Ndumu", + "nme": "Mzieme Naga", + "nmf": "Tangkhul Naga (India)", + "nmg": "Kwasio", + "nmh": "Monsang Naga", + "nmi": "Nyam", + "nmj": "Ngombe (Central African Republic)", + "nmk": "Namakura", + "nml": "Ndemli", + "nmm": "Manangba", + "nmn": "ǃXóõ", + "nmo": "Moyon Naga", + "nmp": "Nimanbur", + "nmq": "Nambya", + "nmr": "Nimbari", + "nms": "Letemboi", + "nmt": "Namonuito", + "nmu": "Northeast Maidu", + "nmv": "Ngamini", + "nmw": "Nimoa; Rifao", + "nmx": "Nama (Papua New Guinea)", + "nmy": "Namuyi", + "nmz": "Nawdm", + "nn": "Norwegian Nynorsk", + "nna": "Nyangumarta", + "nnb": "Nande", + "nnc": "Nancere", + "nnd": "West Ambae", + "nne": "Ngandyera", + "nnf": "Ngaing", + "nng": "Maring Naga", + "nnh": "Ngiemboon", + "nni": "North Nuaulu", + "nnj": "Nyangatom", + "nnk": "Nankina", + "nnl": "Northern Rengma Naga", + "nnm": "Namia", + "nnn": "Ngete", + "nnp": "Wancho Naga", + "nnq": "Ngindo", + "nnr": "Narungga", + "nnt": "Nanticoke", + "nnu": "Dwang", + "nnv": "Nugunu (Australia)", + "nnw": "Southern Nuni", + "nny": "Nyangga", + "nnz": "Nda'nda'", + "no": "Norwegian", + "noa": "Woun Meu", + "noc": "Nuk", + "nod": "Northern Thai", + "noe": "Nimadi", + "nof": "Nomane", + "nog": "Nogai", + "noh": "Nomu", + "noi": "Noiri", + "noj": "Nonuya", + "nok": "Nooksack", + "nol": "Nomlaki", + "nom": "Nocamán", + "non": "Old Norse", + "nop": "Numanggang", + "noq": "Ngongo", + "nos": "Eastern Nisu", + "not": "Nomatsiguenga", + "nou": "Ewage-Notu", + "nov": "Novial", + "now": "Nyambo", + "noy": "Noy", + "noz": "Nayi", + "npa": "Nar Phu", + "npb": "Nupbikha", + "npg": "Ponyo-Gongwang Naga", + "nph": "Phom Naga", + "npi": "Nepali (individual language)", + "npl": "Southeastern Puebla Nahuatl", + "npn": "Mondropolon", + "npo": "Pochuri Naga", + "nps": "Nipsan", + "npu": "Puimei Naga", + "npx": "Noipx", + "npy": "Napu", + "nqg": "Southern Nago", + "nqk": "Kura Ede Nago", + "nql": "Ngendelengo", + "nqm": "Ndom", + "nqn": "Nen", + "nqo": "N'Ko; N’Ko", + "nqq": "Kyan-Karyaw Naga", + "nqt": "Nteng", + "nqy": "Akyaung Ari Naga", + "nr": "South Ndebele", + "nra": "Ngom", + "nrb": "Nara", + "nrc": "Noric", + "nre": "Southern Rengma Naga", + "nrf": "Jèrriais; Guernésiais", + "nrg": "Narango", + "nri": "Chokri Naga", + "nrk": "Ngarla", + "nrl": "Ngarluma", + "nrm": "Narom", + "nrn": "Norn", + "nrp": "North Picene", + "nrr": "Norra; Nora", + "nrt": "Northern Kalapuya", + "nru": "Narua", + "nrx": "Ngurmbur", + "nrz": "Lala", + "nsa": "Sangtam Naga", + "nsb": "Lower Nossob", + "nsc": "Nshi", + "nsd": "Southern Nisu", + "nse": "Nsenga", + "nsf": "Northwestern Nisu", + "nsg": "Ngasa", + "nsh": "Ngoshie", + "nsi": "Nigerian Sign Language", + "nsk": "Naskapi", + "nsl": "Norwegian Sign Language", + "nsm": "Sumi Naga", + "nsn": "Nehan", + "nso": "Pedi; Northern Sotho; Sepedi", + "nsp": "Nepalese Sign Language", + "nsq": "Northern Sierra Miwok", + "nsr": "Maritime Sign Language", + "nss": "Nali", + "nst": "Tase Naga", + "nsu": "Sierra Negra Nahuatl", + "nsv": "Southwestern Nisu", + "nsw": "Navut", + "nsx": "Nsongo", + "nsy": "Nasal", + "nsz": "Nisenan", + "ntd": "Northern Tidung", + "nte": "Nathembo", + "ntg": "Ngantangarra", + "nti": "Natioro", + "ntj": "Ngaanyatjarra", + "ntk": "Ikoma-Nata-Isenye", + "ntm": "Nateni", + "nto": "Ntomba", + "ntp": "Northern Tepehuan", + "ntr": "Delo", + "ntu": "Natügu", + "ntw": "Nottoway", + "ntx": "Tangkhul Naga (Myanmar)", + "nty": "Mantsi", + "ntz": "Natanzi", + "nua": "Yuanga", + "nub": "Nubian languages", + "nuc": "Nukuini", + "nud": "Ngala", + "nue": "Ngundu", + "nuf": "Nusu", + "nug": "Nungali", + "nuh": "Ndunda", + "nui": "Ngumbi", + "nuj": "Nyole", + "nuk": "Nuu-chah-nulth; Nuuchahnulth", + "nul": "Nusa Laut", + "num": "Niuafo'ou", + "nun": "Anong", + "nuo": "Nguôn", + "nup": "Nupe-Nupe-Tako", + "nuq": "Nukumanu", + "nur": "Nukuria", + "nus": "Nuer", + "nut": "Nung (Viet Nam)", + "nuu": "Ngbundu", + "nuv": "Northern Nuni", + "nuw": "Nguluwan", + "nux": "Mehek", + "nuy": "Nunggubuyu", + "nuz": "Tlamacazapa Nahuatl", + "nv": "Navajo; Navaho", + "nvh": "Nasarian", + "nvm": "Namiae", + "nvo": "Nyokon", + "nwa": "Nawathinehena", + "nwb": "Nyabwa", + "nwc": "Classical Newari; Classical Nepal Bhasa; Old Newari", + "nwe": "Ngwe", + "nwg": "Ngayawung", + "nwi": "Southwest Tanna", + "nwm": "Nyamusa-Molo", + "nwo": "Nauo", + "nwr": "Nawaru", + "nww": "Ndwewe", + "nwx": "Middle Newar", + "nwy": "Nottoway-Meherrin", + "nxa": "Nauete", + "nxd": "Ngando (Democratic Republic of Congo)", + "nxe": "Nage", + "nxg": "Ngad'a", + "nxi": "Nindi", + "nxk": "Koki Naga", + "nxl": "South Nuaulu", + "nxm": "Numidian", + "nxn": "Ngawun", + "nxo": "Ndambomo", + "nxq": "Naxi", + "nxr": "Ninggerum", + "nxx": "Nafri", + "ny": "Nyanja; Chewa; Chichewa", + "nyb": "Nyangbo", + "nyc": "Nyanga-li", + "nyd": "Nyore; Olunyole", + "nye": "Nyengo", + "nyf": "Giryama; Kigiryama", + "nyg": "Nyindu", + "nyh": "Nyikina", + "nyi": "Ama (Sudan)", + "nyj": "Nyanga", + "nyk": "Nyaneka", + "nyl": "Nyeu", + "nym": "Nyamwezi", + "nyn": "Nyankole", + "nyo": "Nyoro", + "nyp": "Nyang'i", + "nyq": "Nayini", + "nyr": "Nyiha (Malawi)", + "nys": "Nyungar", + "nyt": "Nyawaygi", + "nyu": "Nyungwe", + "nyv": "Nyulnyul", + "nyw": "Nyaw", + "nyx": "Nganyaywana", + "nyy": "Nyakyusa-Ngonde", + "nza": "Tigon Mbembe", + "nzb": "Njebi", + "nzd": "Nzadi", + "nzi": "Nzima", + "nzk": "Nzakara", + "nzm": "Zeme Naga", + "nzs": "New Zealand Sign Language", + "nzu": "Teke-Nzikou", + "nzy": "Nzakambay", + "nzz": "Nanga Dama Dogon", + "oaa": "Orok", + "oac": "Oroch", + "oar": "Old Aramaic (up to 700 BCE); Ancient Aramaic (up to 700 BCE)", + "oav": "Old Avar", + "obi": "Obispeño", + "obk": "Southern Bontok", + "obl": "Oblo", + "obm": "Moabite", + "obo": "Obo Manobo", + "obr": "Old Burmese", + "obt": "Old Breton", + "obu": "Obulom", + "oc": "Occitan (post 1500)", + "oca": "Ocaina", + "och": "Old Chinese", + "ocm": "Old Cham", + "oco": "Old Cornish", + "ocu": "Atzingo Matlatzinca", + "oda": "Odut", + "odk": "Od", + "odt": "Old Dutch", + "odu": "Odual", + "ofo": "Ofo", + "ofs": "Old Frisian", + "ofu": "Efutop", + "ogb": "Ogbia", + "ogc": "Ogbah", + "oge": "Old Georgian", + "ogg": "Ogbogolo", + "ogo": "Khana", + "ogu": "Ogbronuagum", + "oht": "Old Hittite", + "ohu": "Old Hungarian", + "oia": "Oirata", + "oie": "Okolie", + "oin": "Inebu One", + "oj": "Ojibwa", + "ojb": "Northwestern Ojibwa", + "ojc": "Central Ojibwa", + "ojg": "Eastern Ojibwa", + "ojp": "Old Japanese", + "ojs": "Severn Ojibwa", + "ojv": "Ontong Java", + "ojw": "Western Ojibwa", + "oka": "Okanagan", + "okb": "Okobo", + "okc": "Kobo", + "okd": "Okodia", + "oke": "Okpe (Southwestern Edo)", + "okg": "Koko Babangk", + "okh": "Koresh-e Rostam", + "oki": "Okiek", + "okj": "Oko-Juwoi", + "okk": "Kwamtim One", + "okl": "Old Kentish Sign Language", + "okm": "Middle Korean (10th-16th cent.)", + "okn": "Oki-No-Erabu", + "oko": "Old Korean (3rd-9th cent.)", + "okr": "Kirike", + "oks": "Oko-Eni-Osayen", + "oku": "Oku", + "okv": "Orokaiva", + "okx": "Okpe (Northwestern Edo)", + "okz": "Old Khmer", + "ola": "Walungge", + "old": "Mochi", + "ole": "Olekha", + "olk": "Olkol", + "olm": "Oloma", + "olo": "Livvi", + "olr": "Olrat", + "olt": "Old Lithuanian", + "olu": "Kuvale", + "om": "Oromo", + "oma": "Omaha-Ponca", + "omb": "East Ambae", + "omc": "Mochica", + "omg": "Omagua", + "omi": "Omi", + "omk": "Omok", + "oml": "Ombo", + "omn": "Minoan", + "omo": "Utarmbung", + "omp": "Old Manipuri", + "omq": "Oto-Manguean languages", + "omr": "Old Marathi", + "omt": "Omotik", + "omu": "Omurano", + "omv": "Omotic languages", + "omw": "South Tairora", + "omx": "Old Mon", + "omy": "Old Malay", + "ona": "Ona", + "onb": "Lingao", + "one": "Oneida", + "ong": "Olo", + "oni": "Onin", + "onj": "Onjob", + "onk": "Kabore One", + "onn": "Onobasulu", + "ono": "Onondaga", + "onp": "Sartang", + "onr": "Northern One", + "ons": "Ono", + "ont": "Ontenu", + "onu": "Unua", + "onw": "Old Nubian", + "onx": "Onin Based Pidgin", + "ood": "Tohono O'odham", + "oog": "Ong", + "oon": "Önge", + "oor": "Oorlams", + "oos": "Old Ossetic", + "opa": "Okpamheri", + "opk": "Kopkaka", + "opm": "Oksapmin", + "opo": "Opao", + "opt": "Opata", + "opy": "Ofayé", + "or": "Oriya (macrolanguage); Odia (macrolanguage)", + "ora": "Oroha", + "orc": "Orma", + "ore": "Orejón", + "org": "Oring", + "orh": "Oroqen", + "orn": "Orang Kanaq", + "oro": "Orokolo", + "orr": "Oruma", + "ors": "Orang Seletar", + "ort": "Adivasi Oriya", + "oru": "Ormuri", + "orv": "Old Russian", + "orw": "Oro Win", + "orx": "Oro", + "ory": "Odia (individual language); Oriya (individual language)", + "orz": "Ormu", + "os": "Ossetian; Ossetic", + "osa": "Osage", + "osc": "Oscan", + "osi": "Osing", + "osn": "Old Sundanese", + "oso": "Ososo", + "osp": "Old Spanish", + "ost": "Osatu", + "osu": "Southern One", + "osx": "Old Saxon", + "ota": "Ottoman Turkish (1500-1928)", + "otb": "Old Tibetan", + "otd": "Ot Danum", + "ote": "Mezquital Otomi", + "oti": "Oti", + "otk": "Old Turkish", + "otl": "Tilapa Otomi", + "otm": "Eastern Highland Otomi", + "otn": "Tenango Otomi", + "oto": "Otomian languages", + "otq": "Querétaro Otomi", + "otr": "Otoro", + "ots": "Estado de México Otomi", + "ott": "Temoaya Otomi", + "otu": "Otuke", + "otw": "Ottawa", + "otx": "Texcatepec Otomi", + "oty": "Old Tamil", + "otz": "Ixtenco Otomi", + "oua": "Tagargrent", + "oub": "Glio-Oubi", + "oue": "Oune", + "oui": "Old Uighur", + "oum": "Ouma", + "ovd": "Elfdalian; Övdalian", + "owi": "Owiniga", + "owl": "Old Welsh", + "oyb": "Oy", + "oyd": "Oyda", + "oym": "Wayampi", + "oyy": "Oya'oya", + "ozm": "Koonzime", + "pa": "Panjabi; Punjabi", + "paa": "Papuan languages", + "pab": "Parecís", + "pac": "Pacoh", + "pad": "Paumarí", + "pae": "Pagibete", + "paf": "Paranawát", + "pag": "Pangasinan", + "pah": "Tenharim", + "pai": "Pe", + "pak": "Parakanã", + "pal": "Pahlavi", + "pam": "Pampanga; Kapampangan", + "pao": "Northern Paiute", + "pap": "Papiamento", + "paq": "Parya", + "par": "Panamint; Timbisha", + "pas": "Papasena", + "pau": "Palauan", + "pav": "Pakaásnovos", + "paw": "Pawnee", + "pax": "Pankararé", + "pay": "Pech", + "paz": "Pankararú", + "pbb": "Páez", + "pbc": "Patamona", + "pbe": "Mezontla Popoloca", + "pbf": "Coyotepec Popoloca", + "pbg": "Paraujano", + "pbh": "E'ñapa Woromaipu", + "pbi": "Parkwa", + "pbl": "Mak (Nigeria)", + "pbm": "Puebla Mazatec", + "pbn": "Kpasam", + "pbo": "Papel", + "pbp": "Badyara", + "pbr": "Pangwa", + "pbs": "Central Pame", + "pbt": "Southern Pashto", + "pbu": "Northern Pashto", + "pbv": "Pnar", + "pby": "Pyu (Papua New Guinea)", + "pca": "Santa Inés Ahuatempan Popoloca", + "pcb": "Pear", + "pcc": "Bouyei", + "pcd": "Picard", + "pce": "Ruching Palaung", + "pcf": "Paliyan", + "pcg": "Paniya", + "pch": "Pardhan", + "pci": "Duruwa", + "pcj": "Parenga", + "pck": "Paite Chin", + "pcl": "Pardhi", + "pcm": "Nigerian Pidgin", + "pcn": "Piti", + "pcp": "Pacahuara", + "pcw": "Pyapun", + "pda": "Anam", + "pdc": "Pennsylvania German", + "pdi": "Pa Di", + "pdn": "Podena; Fedan", + "pdo": "Padoe", + "pdt": "Plautdietsch", + "pdu": "Kayan", + "pea": "Peranakan Indonesian", + "peb": "Eastern Pomo", + "ped": "Mala (Papua New Guinea)", + "pee": "Taje", + "pef": "Northeastern Pomo", + "peg": "Pengo", + "peh": "Bonan", + "pei": "Chichimeca-Jonaz", + "pej": "Northern Pomo", + "pek": "Penchal", + "pel": "Pekal", + "pem": "Phende", + "peo": "Old Persian (ca. 600-400 B.C.)", + "pep": "Kunja", + "peq": "Southern Pomo", + "pes": "Iranian Persian", + "pev": "Pémono", + "pex": "Petats", + "pey": "Petjo", + "pez": "Eastern Penan", + "pfa": "Pááfang", + "pfe": "Pere", + "pfl": "Pfaelzisch", + "pga": "Sudanese Creole Arabic", + "pgd": "Gāndhārī", + "pgg": "Pangwali", + "pgi": "Pagi", + "pgk": "Rerep", + "pgl": "Primitive Irish", + "pgn": "Paelignian", + "pgs": "Pangseng", + "pgu": "Pagu", + "pgz": "Papua New Guinean Sign Language", + "pha": "Pa-Hng", + "phd": "Phudagi", + "phg": "Phuong", + "phh": "Phukha", + "phi": "Philippine languages", + "phj": "Pahari", + "phk": "Phake", + "phl": "Phalura; Palula", + "phm": "Phimbi", + "phn": "Phoenician", + "pho": "Phunoi", + "phq": "Phana'", + "phr": "Pahari-Potwari", + "pht": "Phu Thai", + "phu": "Phuan", + "phv": "Pahlavani", + "phw": "Phangduwali", + "pi": "Pali", + "pia": "Pima Bajo", + "pib": "Yine", + "pic": "Pinji", + "pid": "Piaroa", + "pie": "Piro", + "pif": "Pingelapese", + "pig": "Pisabo", + "pih": "Pitcairn-Norfolk", + "pij": "Pijao", + "pil": "Yom", + "pim": "Powhatan", + "pin": "Piame", + "pio": "Piapoco", + "pip": "Pero", + "pir": "Piratapuyo", + "pis": "Pijin", + "pit": "Pitta Pitta", + "piu": "Pintupi-Luritja", + "piv": "Pileni; Vaeakau-Taumako", + "piw": "Pimbwe", + "pix": "Piu", + "piy": "Piya-Kwonci", + "piz": "Pije", + "pjt": "Pitjantjatjara", + "pka": "Ardhamāgadhī Prākrit", + "pkb": "Pokomo; Kipfokomo", + "pkc": "Paekche", + "pkg": "Pak-Tong", + "pkh": "Pankhu", + "pkn": "Pakanha", + "pko": "Pökoot", + "pkp": "Pukapuka", + "pkr": "Attapady Kurumba", + "pks": "Pakistan Sign Language", + "pkt": "Maleng", + "pku": "Paku", + "pl": "Polish", + "pla": "Miani", + "plb": "Polonombauk", + "plc": "Central Palawano", + "pld": "Polari", + "ple": "Palu'e", + "plf": "Central Malayo-Polynesian languages", + "plg": "Pilagá", + "plh": "Paulohi", + "plj": "Polci", + "plk": "Kohistani Shina", + "pll": "Shwe Palaung", + "pln": "Palenquero", + "plo": "Oluta Popoluca", + "plq": "Palaic", + "plr": "Palaka Senoufo", + "pls": "San Marcos Tlacoyalco Popoloca; San Marcos Tlalcoyalco Popoloca", + "plt": "Plateau Malagasy", + "plu": "Palikúr", + "plv": "Southwest Palawano", + "plw": "Brooke's Point Palawano", + "ply": "Bolyu", + "plz": "Paluan", + "pma": "Paama", + "pmb": "Pambia", + "pmd": "Pallanganmiddang", + "pme": "Pwaamei", + "pmf": "Pamona", + "pmh": "Māhārāṣṭri Prākrit", + "pmi": "Northern Pumi", + "pmj": "Southern Pumi", + "pmk": "Pamlico", + "pml": "Lingua Franca", + "pmm": "Pomo", + "pmn": "Pam", + "pmo": "Pom", + "pmq": "Northern Pame", + "pmr": "Paynamar", + "pms": "Piemontese", + "pmt": "Tuamotuan", + "pmw": "Plains Miwok", + "pmx": "Poumei Naga", + "pmy": "Papuan Malay", + "pmz": "Southern Pame", + "pna": "Punan Bah-Biau", + "pnb": "Western Panjabi", + "pnc": "Pannei", + "pnd": "Mpinda", + "pne": "Western Penan", + "png": "Pangu; Pongu", + "pnh": "Penrhyn", + "pni": "Aoheng", + "pnj": "Pinjarup", + "pnk": "Paunaka", + "pnl": "Paleni", + "pnm": "Punan Batu 1", + "pnn": "Pinai-Hagahai", + "pno": "Panobo", + "pnp": "Pancana", + "pnq": "Pana (Burkina Faso)", + "pnr": "Panim", + "pns": "Ponosakan", + "pnt": "Pontic", + "pnu": "Jiongnai Bunu", + "pnv": "Pinigura", + "pnw": "Banyjima; Panytyima", + "pnx": "Phong-Kniang", + "pny": "Pinyin", + "pnz": "Pana (Central African Republic)", + "poc": "Poqomam", + "poe": "San Juan Atzingo Popoloca", + "pof": "Poke", + "pog": "Potiguára", + "poh": "Poqomchi'", + "poi": "Highland Popoluca", + "pok": "Pokangá", + "pom": "Southeastern Pomo", + "pon": "Pohnpeian", + "poo": "Central Pomo", + "pop": "Pwapwâ", + "poq": "Texistepec Popoluca", + "pos": "Sayula Popoluca", + "pot": "Potawatomi", + "pov": "Upper Guinea Crioulo", + "pow": "San Felipe Otlaltepec Popoloca", + "pox": "Polabian", + "poy": "Pogolo", + "poz": "Malayo-Polynesian languages", + "ppe": "Papi", + "ppi": "Paipai", + "ppk": "Uma", + "ppl": "Pipil; Nicarao", + "ppm": "Papuma", + "ppn": "Papapana", + "ppo": "Folopa", + "ppp": "Pelende", + "ppq": "Pei", + "pps": "San Luís Temalacayuca Popoloca", + "ppt": "Pare", + "ppu": "Papora", + "pqa": "Pa'a", + "pqe": "Eastern Malayo-Polynesian languages", + "pqm": "Malecite-Passamaquoddy", + "pqw": "Western Malayo-Polynesian languages", + "pra": "Prakrit languages", + "prc": "Parachi", + "prd": "Parsi-Dari", + "pre": "Principense", + "prf": "Paranan", + "prg": "Prussian", + "prh": "Porohanon", + "pri": "Paicî", + "prk": "Parauk", + "prl": "Peruvian Sign Language", + "prm": "Kibiri", + "prn": "Prasuni", + "pro": "Old Provençal (to 1500); Old Occitan (to 1500)", + "prp": "Parsi", + "prq": "Ashéninka Perené", + "prr": "Puri", + "prs": "Dari; Afghan Persian", + "prt": "Phai", + "pru": "Puragi", + "prw": "Parawen", + "prx": "Purik", + "prz": "Providencia Sign Language", + "ps": "Pushto; Pashto", + "psa": "Asue Awyu", + "psc": "Iranian Sign Language; Persian Sign Language", + "psd": "Plains Indian Sign Language", + "pse": "Central Malay", + "psg": "Penang Sign Language", + "psh": "Southwest Pashai; Southwest Pashayi", + "psi": "Southeast Pashai; Southeast Pashayi", + "psl": "Puerto Rican Sign Language", + "psm": "Pauserna", + "psn": "Panasuan", + "pso": "Polish Sign Language", + "psp": "Philippine Sign Language", + "psq": "Pasi", + "psr": "Portuguese Sign Language", + "pss": "Kaulong", + "pst": "Central Pashto", + "psu": "Sauraseni Prākrit", + "psw": "Port Sandwich", + "psy": "Piscataway", + "pt": "Portuguese", + "pta": "Pai Tavytera", + "pth": "Pataxó Hã-Ha-Hãe", + "pti": "Pindiini; Wangkatha", + "ptn": "Patani", + "pto": "Zo'é", + "ptp": "Patep", + "ptq": "Pattapu", + "ptr": "Piamatsina", + "ptt": "Enrekang", + "ptu": "Bambam", + "ptv": "Port Vato", + "ptw": "Pentlatch", + "pty": "Pathiya", + "pua": "Western Highland Purepecha", + "pub": "Purum", + "puc": "Punan Merap", + "pud": "Punan Aput", + "pue": "Puelche", + "puf": "Punan Merah", + "pug": "Phuie", + "pui": "Puinave", + "puj": "Punan Tubu", + "pum": "Puma", + "puo": "Puoc", + "pup": "Pulabu", + "puq": "Puquina", + "pur": "Puruborá", + "put": "Putoh", + "puu": "Punu", + "puw": "Puluwatese", + "pux": "Puare", + "puy": "Purisimeño", + "pwa": "Pawaia", + "pwb": "Panawa", + "pwg": "Gapapaiwa", + "pwi": "Patwin", + "pwm": "Molbog", + "pwn": "Paiwan", + "pwo": "Pwo Western Karen", + "pwr": "Powari", + "pww": "Pwo Northern Karen", + "pxm": "Quetzaltepec Mixe", + "pye": "Pye Krumen", + "pym": "Fyam", + "pyn": "Poyanáwa", + "pys": "Paraguayan Sign Language; Lengua de Señas del Paraguay", + "pyu": "Puyuma", + "pyx": "Pyu (Myanmar)", + "pyy": "Pyen", + "pzh": "Pazeh", + "pzn": "Jejara Naga; Para Naga", + "qu": "Quechua", + "qua": "Quapaw", + "qub": "Huallaga Huánuco Quechua", + "quc": "K'iche'; Quiché", + "qud": "Calderón Highland Quichua", + "quf": "Lambayeque Quechua", + "qug": "Chimborazo Highland Quichua", + "quh": "South Bolivian Quechua", + "qui": "Quileute", + "quk": "Chachapoyas Quechua", + "qul": "North Bolivian Quechua", + "qum": "Sipacapense", + "qun": "Quinault", + "qup": "Southern Pastaza Quechua", + "quq": "Quinqui", + "qur": "Yanahuanca Pasco Quechua", + "qus": "Santiago del Estero Quichua", + "quv": "Sacapulteco", + "quw": "Tena Lowland Quichua", + "qux": "Yauyos Quechua", + "quy": "Ayacucho Quechua", + "quz": "Cusco Quechua", + "qva": "Ambo-Pasco Quechua", + "qvc": "Cajamarca Quechua", + "qve": "Eastern Apurímac Quechua", + "qvh": "Huamalíes-Dos de Mayo Huánuco Quechua", + "qvi": "Imbabura Highland Quichua", + "qvj": "Loja Highland Quichua", + "qvl": "Cajatambo North Lima Quechua", + "qvm": "Margos-Yarowilca-Lauricocha Quechua", + "qvn": "North Junín Quechua", + "qvo": "Napo Lowland Quechua", + "qvp": "Pacaraos Quechua", + "qvs": "San Martín Quechua", + "qvw": "Huaylla Wanca Quechua", + "qvy": "Queyu", + "qvz": "Northern Pastaza Quichua", + "qwa": "Corongo Ancash Quechua", + "qwc": "Classical Quechua", + "qwe": "Quechuan (family)", + "qwh": "Huaylas Ancash Quechua", + "qwm": "Kuman (Russia)", + "qws": "Sihuas Ancash Quechua", + "qwt": "Kwalhioqua-Tlatskanai", + "qxa": "Chiquián Ancash Quechua", + "qxc": "Chincha Quechua", + "qxh": "Panao Huánuco Quechua", + "qxl": "Salasaca Highland Quichua", + "qxn": "Northern Conchucos Ancash Quechua", + "qxo": "Southern Conchucos Ancash Quechua", + "qxp": "Puno Quechua", + "qxq": "Qashqa'i", + "qxr": "Cañar Highland Quichua", + "qxs": "Southern Qiang", + "qxt": "Santa Ana de Tusi Pasco Quechua", + "qxu": "Arequipa-La Unión Quechua", + "qxw": "Jauja Wanca Quechua", + "qya": "Quenya", + "qyp": "Quiripi", + "raa": "Dungmali", + "rab": "Camling", + "rac": "Rasawa", + "rad": "Rade", + "raf": "Western Meohang", + "rag": "Logooli; Lulogooli", + "rah": "Rabha", + "rai": "Ramoaaina", + "raj": "Rajasthani", + "rak": "Tulu-Bohuai", + "ral": "Ralte", + "ram": "Canela", + "ran": "Riantana", + "rao": "Rao", + "rap": "Rapanui", + "raq": "Saam", + "rar": "Rarotongan; Cook Islands Maori", + "ras": "Tegali", + "rat": "Razajerdi", + "rau": "Raute", + "rav": "Sampang", + "raw": "Rawang", + "rax": "Rang", + "ray": "Rapa", + "raz": "Rahambuu", + "rbb": "Rumai Palaung", + "rbk": "Northern Bontok", + "rbl": "Miraya Bikol", + "rbp": "Barababaraba", + "rcf": "Réunion Creole French", + "rdb": "Rudbari", + "rea": "Rerau", + "reb": "Rembong", + "ree": "Rejang Kayan", + "reg": "Kara (Tanzania)", + "rei": "Reli", + "rej": "Rejang", + "rel": "Rendille", + "rem": "Remo", + "ren": "Rengao", + "rer": "Rer Bare", + "res": "Reshe", + "ret": "Retta", + "rey": "Reyesano", + "rga": "Roria", + "rge": "Romano-Greek", + "rgk": "Rangkas", + "rgn": "Romagnol", + "rgr": "Resígaro", + "rgs": "Southern Roglai", + "rgu": "Ringgou", + "rhg": "Rohingya", + "rhp": "Yahang", + "ria": "Riang (India)", + "rib": "Bribri Sign Language", + "rif": "Tarifit", + "ril": "Riang Lang; Riang (Myanmar)", + "rim": "Nyaturu", + "rin": "Nungu", + "rir": "Ribun", + "rit": "Ritharrngu", + "riu": "Riung", + "rjg": "Rajong", + "rji": "Raji", + "rjs": "Rajbanshi", + "rka": "Kraol", + "rkb": "Rikbaktsa", + "rkh": "Rakahanga-Manihiki", + "rki": "Rakhine", + "rkm": "Marka", + "rkt": "Rangpuri; Kamta", + "rkw": "Arakwal", + "rm": "Romansh", + "rma": "Rama", + "rmb": "Rembarrnga", + "rmc": "Carpathian Romani", + "rmd": "Traveller Danish", + "rme": "Angloromani", + "rmf": "Kalo Finnish Romani", + "rmg": "Traveller Norwegian", + "rmh": "Murkim", + "rmi": "Lomavren", + "rmk": "Romkun", + "rml": "Baltic Romani", + "rmm": "Roma", + "rmn": "Balkan Romani", + "rmo": "Sinte Romani", + "rmp": "Rempi", + "rmq": "Caló", + "rms": "Romanian Sign Language", + "rmt": "Domari", + "rmu": "Tavringer Romani", + "rmv": "Romanova", + "rmw": "Welsh Romani", + "rmx": "Romam", + "rmy": "Vlax Romani", + "rmz": "Marma", + "rn": "Rundi", + "rnb": "Brunca Sign Language", + "rnd": "Ruund", + "rng": "Ronga", + "rnl": "Ranglong", + "rnn": "Roon", + "rnp": "Rongpo", + "rnr": "Nari Nari", + "rnw": "Rungwa", + "ro": "Romanian; Moldavian; Moldovan", + "roa": "Romance languages", + "rob": "Tae'", + "roc": "Cacgia Roglai", + "rod": "Rogo", + "roe": "Ronji", + "rof": "Rombo", + "rog": "Northern Roglai", + "rol": "Romblomanon", + "rom": "Romany", + "roo": "Rotokas", + "rop": "Kriol", + "ror": "Rongga", + "rou": "Runga", + "row": "Dela-Oenale", + "rpn": "Repanbitip", + "rpt": "Rapting", + "rri": "Ririo", + "rro": "Waima", + "rrt": "Arritinngithigh", + "rsb": "Romano-Serbian", + "rsk": "Ruthenian; Rusyn", + "rsl": "Russian Sign Language", + "rsm": "Miriwoong Sign Language", + "rsn": "Rwandan Sign Language", + "rtc": "Rungtu Chin", + "rth": "Ratahan", + "rtm": "Rotuman", + "rts": "Yurats", + "rtw": "Rathawi", + "ru": "Russian", + "rub": "Gungu", + "ruc": "Ruuli", + "rue": "Rusyn", + "ruf": "Luguru", + "rug": "Roviana", + "ruh": "Ruga", + "rui": "Rufiji", + "ruk": "Che", + "ruo": "Istro Romanian", + "rup": "Macedo-Romanian; Aromanian; Arumanian", + "ruq": "Megleno Romanian", + "rut": "Rutul", + "ruu": "Lanas Lobu", + "ruy": "Mala (Nigeria)", + "ruz": "Ruma", + "rw": "Kinyarwanda", + "rwa": "Rawo", + "rwk": "Rwa", + "rwl": "Ruwila", + "rwm": "Amba (Uganda)", + "rwo": "Rawa", + "rwr": "Marwari (India)", + "rxd": "Ngardi", + "rxw": "Karuwali; Garuwali", + "ryn": "Northern Amami-Oshima", + "rys": "Yaeyama", + "ryu": "Central Okinawan", + "rzh": "Rāziḥī", + "sa": "Sanskrit", + "saa": "Saba", + "sab": "Buglere", + "sac": "Meskwaki", + "sad": "Sandawe", + "sae": "Sabanê", + "saf": "Safaliba", + "sah": "Yakut", + "sai": "South American Indian languages", + "saj": "Sahu", + "sak": "Sake", + "sal": "Salishan languages", + "sam": "Samaritan Aramaic", + "sao": "Sause", + "saq": "Samburu", + "sar": "Saraveca", + "sas": "Sasak", + "sat": "Santali", + "sau": "Saleman", + "sav": "Saafi-Saafi", + "saw": "Sawi", + "sax": "Sa", + "say": "Saya", + "saz": "Saurashtra", + "sba": "Ngambay", + "sbb": "Simbo", + "sbc": "Kele (Papua New Guinea)", + "sbd": "Southern Samo", + "sbe": "Saliba", + "sbf": "Chabu; Shabo", + "sbg": "Seget", + "sbh": "Sori-Harengan", + "sbi": "Seti", + "sbj": "Surbakhal", + "sbk": "Safwa", + "sbl": "Botolan Sambal", + "sbm": "Sagala", + "sbn": "Sindhi Bhil", + "sbo": "Sabüm", + "sbp": "Sangu (Tanzania)", + "sbq": "Sileibi", + "sbr": "Sembakung Murut", + "sbs": "Subiya", + "sbt": "Kimki", + "sbu": "Stod Bhoti", + "sbv": "Sabine", + "sbw": "Simba", + "sbx": "Seberuang", + "sby": "Soli", + "sbz": "Sara Kaba", + "sc": "Sardinian", + "scb": "Chut", + "sce": "Dongxiang", + "scf": "San Miguel Creole French", + "scg": "Sanggau", + "sch": "Sakachep", + "sci": "Sri Lankan Creole Malay", + "sck": "Sadri", + "scl": "Shina", + "scn": "Sicilian", + "sco": "Scots", + "scp": "Hyolmo; Helambu Sherpa", + "scq": "Sa'och", + "scs": "North Slavey", + "sct": "Southern Katang", + "scu": "Shumcho", + "scv": "Sheni", + "scw": "Sha", + "scx": "Sicel", + "sd": "Sindhi", + "sda": "Toraja-Sa'dan", + "sdb": "Shabak", + "sdc": "Sassarese Sardinian", + "sde": "Surubu", + "sdf": "Sarli", + "sdg": "Savi", + "sdh": "Southern Kurdish", + "sdj": "Suundi", + "sdk": "Sos Kundi", + "sdl": "Saudi Arabian Sign Language", + "sdn": "Gallurese Sardinian", + "sdo": "Bukar-Sadung Bidayuh", + "sdp": "Sherdukpen", + "sdq": "Semandang", + "sdr": "Oraon Sadri", + "sds": "Sened", + "sdt": "Shuadit", + "sdu": "Sarudu", + "sdv": "Eastern Sudanic languages", + "sdx": "Sibu Melanau", + "sdz": "Sallands", + "se": "Northern Sami", + "sea": "Semai", + "seb": "Shempire Senoufo", + "sec": "Sechelt", + "sed": "Sedang", + "see": "Seneca", + "sef": "Cebaara Senoufo", + "seg": "Segeju", + "seh": "Sena", + "sei": "Seri", + "sej": "Sene", + "sek": "Sekani", + "sel": "Selkup", + "sem": "Semitic languages", + "sen": "Nanerigé Sénoufo", + "seo": "Suarmin", + "sep": "Sìcìté Sénoufo", + "seq": "Senara Sénoufo", + "ser": "Serrano", + "ses": "Koyraboro Senni Songhai", + "set": "Sentani", + "seu": "Serui-Laut", + "sev": "Nyarafolo Senoufo", + "sew": "Sewa Bay", + "sey": "Secoya", + "sez": "Senthang Chin", + "sfb": "Langue des signes de Belgique Francophone; French Belgian Sign Language", + "sfe": "Eastern Subanen", + "sfm": "Small Flowery Miao", + "sfs": "South African Sign Language", + "sfw": "Sehwi", + "sg": "Sango", + "sga": "Old Irish (to 900)", + "sgb": "Mag-antsi Ayta", + "sgc": "Kipsigis", + "sgd": "Surigaonon", + "sge": "Segai", + "sgg": "Swiss-German Sign Language", + "sgh": "Shughni", + "sgi": "Suga", + "sgj": "Surgujia", + "sgk": "Sangkong", + "sgm": "Singa", + "sgn": "Sign languages", + "sgp": "Singpho", + "sgr": "Sangisari", + "sgs": "Samogitian", + "sgt": "Brokpake", + "sgu": "Salas", + "sgw": "Sebat Bet Gurage", + "sgx": "Sierra Leone Sign Language", + "sgy": "Sanglechi", + "sgz": "Sursurunga", + "sh": "Serbo-Croatian", + "sha": "Shall-Zwall", + "shb": "Ninam", + "shc": "Sonde", + "shd": "Kundal Shahi", + "she": "Sheko", + "shg": "Shua", + "shh": "Shoshoni", + "shi": "Tachelhit", + "shj": "Shatt", + "shk": "Shilluk", + "shl": "Shendu", + "shm": "Shahrudi", + "shn": "Shan", + "sho": "Shanga", + "shp": "Shipibo-Conibo", + "shq": "Sala", + "shr": "Shi", + "shs": "Shuswap", + "sht": "Shasta", + "shu": "Chadian Arabic", + "shv": "Shehri", + "shw": "Shwai", + "shx": "She", + "shy": "Tachawit", + "shz": "Syenara Senoufo", + "si": "Sinhala; Sinhalese", + "sia": "Akkala Sami", + "sib": "Sebop", + "sid": "Sidamo", + "sie": "Simaa", + "sif": "Siamou", + "sig": "Paasaal", + "sih": "Zire; Sîshëë", + "sii": "Shom Peng", + "sij": "Numbami", + "sik": "Sikiana", + "sil": "Tumulung Sisaala", + "sim": "Mende (Papua New Guinea)", + "sio": "Siouan languages", + "sip": "Sikkimese", + "siq": "Sonia", + "sir": "Siri", + "sis": "Siuslaw", + "sit": "Sino-Tibetan languages", + "siu": "Sinagen", + "siv": "Sumariup", + "siw": "Siwai", + "six": "Sumau", + "siy": "Sivandi", + "siz": "Siwi", + "sja": "Epena", + "sjb": "Sajau Basap", + "sjd": "Kildin Sami", + "sje": "Pite Sami", + "sjg": "Assangori", + "sjk": "Kemi Sami", + "sjl": "Sajalong; Miji", + "sjm": "Mapun", + "sjn": "Sindarin", + "sjo": "Xibe", + "sjp": "Surjapuri", + "sjr": "Siar-Lak", + "sjs": "Senhaja De Srair", + "sjt": "Ter Sami", + "sju": "Ume Sami", + "sjw": "Shawnee", + "sk": "Slovak", + "ska": "Skagit", + "skb": "Saek", + "skc": "Ma Manda", + "skd": "Southern Sierra Miwok", + "ske": "Seke (Vanuatu)", + "skf": "Sakirabiá", + "skg": "Sakalava Malagasy", + "skh": "Sikule", + "ski": "Sika", + "skj": "Seke (Nepal)", + "skm": "Kutong", + "skn": "Kolibugan Subanon", + "sko": "Seko Tengah", + "skp": "Sekapan", + "skq": "Sininkere", + "skr": "Saraiki; Seraiki", + "sks": "Maia", + "skt": "Sakata", + "sku": "Sakao", + "skv": "Skou", + "skw": "Skepi Creole Dutch", + "skx": "Seko Padang", + "sky": "Sikaiana", + "skz": "Sekar", + "sl": "Slovenian", + "sla": "Slavic languages", + "slc": "Sáliba", + "sld": "Sissala", + "sle": "Sholaga", + "slf": "Swiss-Italian Sign Language", + "slg": "Selungai Murut", + "slh": "Southern Puget Sound Salish", + "sli": "Lower Silesian", + "slj": "Salumá", + "sll": "Salt-Yui", + "slm": "Pangutaran Sama", + "sln": "Salinan", + "slp": "Lamaholot", + "slq": "Salchuq", + "slr": "Salar", + "sls": "Singapore Sign Language", + "slt": "Sila", + "slu": "Selaru", + "slw": "Sialum", + "slx": "Salampasu", + "sly": "Selayar", + "slz": "Ma'ya", + "sm": "Samoan", + "sma": "Southern Sami", + "smb": "Simbari", + "smc": "Som", + "smf": "Auwe", + "smg": "Simbali", + "smh": "Samei", + "smi": "Sami languages", + "smj": "Lule Sami", + "smk": "Bolinao", + "sml": "Central Sama", + "smm": "Musasa", + "smn": "Inari Sami", + "smp": "Samaritan", + "smq": "Samo", + "smr": "Simeulue", + "sms": "Skolt Sami", + "smt": "Simte", + "smu": "Somray", + "smv": "Samvedi", + "smw": "Sumbawa", + "smx": "Samba", + "smy": "Semnani", + "smz": "Simeku", + "sn": "Shona", + "snc": "Sinaugoro", + "sne": "Bau Bidayuh", + "snf": "Noon", + "sng": "Sanga (Democratic Republic of Congo)", + "sni": "Sensi", + "snj": "Riverain Sango", + "snk": "Soninke", + "snl": "Sangil", + "snm": "Southern Ma'di", + "snn": "Siona", + "sno": "Snohomish", + "snp": "Siane", + "snq": "Sangu (Gabon)", + "snr": "Sihan", + "sns": "South West Bay; Nahavaq", + "snu": "Senggi; Viid", + "snv": "Sa'ban", + "snw": "Selee", + "snx": "Sam", + "sny": "Saniyo-Hiyewe", + "snz": "Kou", + "so": "Somali", + "soa": "Thai Song", + "sob": "Sobei", + "soc": "So (Democratic Republic of Congo)", + "sod": "Songoora", + "soe": "Songomeno", + "sog": "Sogdian", + "soh": "Aka", + "soi": "Sonha", + "soj": "Soi", + "sok": "Sokoro", + "sol": "Solos", + "son": "Songhai languages", + "soo": "Songo", + "sop": "Songe", + "soq": "Kanasi", + "sor": "Somrai", + "sos": "Seeku", + "sou": "Southern Thai", + "sov": "Sonsorol", + "sow": "Sowanda", + "sox": "Swo", + "soy": "Miyobe", + "soz": "Temi", + "spb": "Sepa (Indonesia)", + "spc": "Sapé", + "spd": "Saep", + "spe": "Sepa (Papua New Guinea)", + "spg": "Sian", + "spi": "Saponi", + "spk": "Sengo", + "spl": "Selepet", + "spm": "Akukem", + "spn": "Sanapaná", + "spo": "Spokane", + "spp": "Supyire Senoufo", + "spq": "Loreto-Ucayali Spanish", + "spr": "Saparua", + "sps": "Saposa", + "spt": "Spiti Bhoti", + "spu": "Sapuan", + "spv": "Sambalpuri; Kosli", + "spx": "South Picene", + "spy": "Sabaot", + "sq": "Albanian", + "sqa": "Shama-Sambuga", + "sqh": "Shau", + "sqj": "Albanian languages", + "sqk": "Albanian Sign Language", + "sqm": "Suma", + "sqn": "Susquehannock", + "sqo": "Sorkhei", + "sqq": "Sou", + "sqr": "Siculo Arabic", + "sqs": "Sri Lankan Sign Language", + "sqt": "Soqotri", + "squ": "Squamish", + "sqx": "Kufr Qassem Sign Language (KQSL)", + "sr": "Serbian", + "sra": "Saruga", + "srb": "Sora", + "src": "Logudorese Sardinian", + "sre": "Sara", + "srf": "Nafi", + "srg": "Sulod", + "srh": "Sarikoli", + "sri": "Siriano", + "srk": "Serudung Murut", + "srl": "Isirawa", + "srm": "Saramaccan", + "srn": "Sranan Tongo", + "sro": "Campidanese Sardinian", + "srq": "Sirionó", + "srr": "Serer", + "srs": "Sarsi", + "srt": "Sauri", + "sru": "Suruí", + "srv": "Southern Sorsoganon", + "srw": "Serua", + "srx": "Sirmauri", + "sry": "Sera", + "srz": "Shahmirzadi", + "ss": "Swati", + "ssa": "Nilo-Saharan languages", + "ssb": "Southern Sama", + "ssc": "Suba-Simbiti", + "ssd": "Siroi", + "sse": "Balangingi; Bangingih Sama", + "ssf": "Thao", + "ssg": "Seimat", + "ssh": "Shihhi Arabic", + "ssi": "Sansi", + "ssj": "Sausi", + "ssk": "Sunam", + "ssl": "Western Sisaala", + "ssm": "Semnam", + "ssn": "Waata", + "sso": "Sissano", + "ssp": "Spanish Sign Language", + "ssq": "So'a", + "ssr": "Swiss-French Sign Language", + "sss": "Sô", + "sst": "Sinasina", + "ssu": "Susuami", + "ssv": "Shark Bay", + "ssx": "Samberigi", + "ssy": "Saho", + "ssz": "Sengseng", + "st": "Southern Sotho", + "sta": "Settla", + "stb": "Northern Subanen", + "std": "Sentinel", + "ste": "Liana-Seti", + "stf": "Seta", + "stg": "Trieng", + "sth": "Shelta", + "sti": "Bulo Stieng", + "stj": "Matya Samo", + "stk": "Arammba", + "stl": "Stellingwerfs", + "stm": "Setaman", + "stn": "Owa", + "sto": "Stoney", + "stp": "Southeastern Tepehuan", + "stq": "Saterfriesisch", + "str": "Straits Salish", + "sts": "Shumashti", + "stt": "Budeh Stieng", + "stu": "Samtao", + "stv": "Silt'e", + "stw": "Satawalese", + "sty": "Siberian Tatar", + "su": "Sundanese", + "sua": "Sulka", + "sub": "Suku", + "suc": "Western Subanon", + "sue": "Suena", + "sug": "Suganga", + "sui": "Suki", + "suj": "Shubi", + "suk": "Sukuma", + "suo": "Bouni", + "suq": "Tirmaga-Chai Suri; Suri", + "sur": "Mwaghavul", + "sus": "Susu", + "sut": "Subtiaba", + "suv": "Puroik", + "suw": "Sumbwa", + "sux": "Sumerian", + "suy": "Suyá", + "suz": "Sunwar", + "sv": "Swedish", + "sva": "Svan", + "svb": "Ulau-Suain", + "svc": "Vincentian Creole English", + "sve": "Serili", + "svk": "Slovakian Sign Language", + "svm": "Slavomolisano", + "svs": "Savosavo", + "svx": "Skalvian", + "sw": "Swahili (macrolanguage)", + "swb": "Maore Comorian", + "swc": "Congo Swahili", + "swf": "Sere", + "swg": "Swabian", + "swh": "Swahili (individual language); Kiswahili", + "swi": "Sui", + "swj": "Sira", + "swk": "Malawi Sena", + "swl": "Swedish Sign Language", + "swm": "Samosa", + "swn": "Sawknah", + "swo": "Shanenawa", + "swp": "Suau", + "swq": "Sharwa", + "swr": "Saweru", + "sws": "Seluwasan", + "swt": "Sawila", + "swu": "Suwawa", + "swv": "Shekhawati", + "sww": "Sowa", + "swx": "Suruahá", + "swy": "Sarua", + "sxb": "Suba", + "sxc": "Sicanian", + "sxe": "Sighu", + "sxg": "Shuhi; Shixing", + "sxk": "Southern Kalapuya", + "sxl": "Selian", + "sxm": "Samre", + "sxn": "Sangir", + "sxo": "Sorothaptic", + "sxr": "Saaroa", + "sxs": "Sasaru", + "sxu": "Upper Saxon", + "sxw": "Saxwe Gbe", + "sya": "Siang", + "syb": "Central Subanen", + "syc": "Classical Syriac", + "syd": "Samoyedic languages", + "syi": "Seki", + "syk": "Sukur", + "syl": "Sylheti", + "sym": "Maya Samo", + "syn": "Senaya", + "syo": "Suoy", + "syr": "Syriac", + "sys": "Sinyar", + "syw": "Kagate", + "syx": "Samay", + "syy": "Al-Sayyid Bedouin Sign Language", + "sza": "Semelai", + "szb": "Ngalum", + "szc": "Semaq Beri", + "szd": "Seru", + "sze": "Seze", + "szg": "Sengele", + "szl": "Silesian", + "szn": "Sula", + "szp": "Suabo", + "szs": "Solomon Islands Sign Language", + "szv": "Isu (Fako Division)", + "szw": "Sawai", + "szy": "Sakizaya", + "ta": "Tamil", + "taa": "Lower Tanana", + "tab": "Tabassaran", + "tac": "Lowland Tarahumara", + "tad": "Tause", + "tae": "Tariana", + "taf": "Tapirapé", + "tag": "Tagoi", + "tai": "Tai languages", + "taj": "Eastern Tamang", + "tak": "Tala", + "tal": "Tal", + "tan": "Tangale", + "tao": "Yami", + "tap": "Taabwa", + "taq": "Tamasheq", + "tar": "Central Tarahumara", + "tas": "Tay Boi", + "tau": "Upper Tanana", + "tav": "Tatuyo", + "taw": "Tai", + "tax": "Tamki", + "tay": "Atayal", + "taz": "Tocho", + "tba": "Aikanã", + "tbc": "Takia", + "tbd": "Kaki Ae", + "tbe": "Tanimbili", + "tbf": "Mandara", + "tbg": "North Tairora", + "tbh": "Dharawal; Thurawal", + "tbi": "Gaam", + "tbj": "Tiang", + "tbk": "Calamian Tagbanwa", + "tbl": "Tboli", + "tbm": "Tagbu", + "tbn": "Barro Negro Tunebo", + "tbo": "Tawala", + "tbp": "Taworta; Diebroud", + "tbq": "Tibeto-Burman languages", + "tbr": "Tumtum", + "tbs": "Tanguat", + "tbt": "Tembo (Kitembo)", + "tbu": "Tubar", + "tbv": "Tobo", + "tbw": "Tagbanwa", + "tbx": "Kapin", + "tby": "Tabaru", + "tbz": "Ditammari", + "tca": "Ticuna", + "tcb": "Tanacross", + "tcc": "Datooga", + "tcd": "Tafi", + "tce": "Southern Tutchone", + "tcf": "Malinaltepec Me'phaa; Malinaltepec Tlapanec", + "tcg": "Tamagario", + "tch": "Turks And Caicos Creole English", + "tci": "Wára", + "tck": "Tchitchege", + "tcl": "Taman (Myanmar)", + "tcm": "Tanahmerah", + "tcn": "Tichurong", + "tco": "Taungyo", + "tcp": "Tawr Chin", + "tcq": "Kaiy", + "tcs": "Torres Strait Creole; Yumplatok", + "tct": "T'en", + "tcu": "Southeastern Tarahumara", + "tcw": "Tecpatlán Totonac", + "tcx": "Toda", + "tcy": "Tulu", + "tcz": "Thado Chin", + "tda": "Tagdal", + "tdb": "Panchpargania", + "tdc": "Emberá-Tadó", + "tdd": "Tai Nüa", + "tde": "Tiranige Diga Dogon", + "tdf": "Talieng", + "tdg": "Western Tamang", + "tdh": "Thulung", + "tdi": "Tomadino", + "tdj": "Tajio", + "tdk": "Tambas", + "tdl": "Sur", + "tdm": "Taruma", + "tdn": "Tondano", + "tdo": "Teme", + "tdq": "Tita", + "tdr": "Todrah", + "tds": "Doutai", + "tdt": "Tetun Dili", + "tdv": "Toro", + "tdx": "Tandroy-Mahafaly Malagasy", + "tdy": "Tadyawan", + "te": "Telugu", + "tea": "Temiar", + "teb": "Tetete", + "tec": "Terik", + "ted": "Tepo Krumen", + "tee": "Huehuetla Tepehua", + "tef": "Teressa", + "teg": "Teke-Tege", + "teh": "Tehuelche", + "tei": "Torricelli", + "tek": "Ibali Teke", + "tem": "Timne", + "ten": "Tama (Colombia)", + "teo": "Teso", + "tep": "Tepecano", + "teq": "Temein", + "ter": "Tereno", + "tes": "Tengger", + "tet": "Tetum", + "teu": "Soo", + "tev": "Teor", + "tew": "Tewa (USA)", + "tex": "Tennet", + "tey": "Tulishi", + "tez": "Tetserret", + "tfi": "Tofin Gbe", + "tfn": "Tanaina", + "tfo": "Tefaro", + "tfr": "Teribe", + "tft": "Ternate", + "tg": "Tajik", + "tga": "Sagalla", + "tgb": "Tobilung", + "tgc": "Tigak", + "tgd": "Ciwogai", + "tge": "Eastern Gorkha Tamang", + "tgf": "Chalikha", + "tgh": "Tobagonian Creole English", + "tgi": "Lawunuia", + "tgj": "Tagin", + "tgn": "Tandaganon", + "tgo": "Sudest", + "tgp": "Tangoa", + "tgq": "Tring", + "tgr": "Tareng", + "tgs": "Nume", + "tgt": "Central Tagbanwa", + "tgu": "Tanggu", + "tgv": "Tingui-Boto", + "tgw": "Tagwana Senoufo", + "tgx": "Tagish", + "tgy": "Togoyo", + "tgz": "Tagalaka", + "th": "Thai", + "thd": "Kuuk Thaayorre; Thayore", + "the": "Chitwania Tharu", + "thf": "Thangmi", + "thh": "Northern Tarahumara", + "thi": "Tai Long", + "thk": "Tharaka; Kitharaka", + "thl": "Dangaura Tharu", + "thm": "Aheu", + "thn": "Thachanadan", + "thp": "Thompson", + "thq": "Kochila Tharu", + "thr": "Rana Tharu", + "ths": "Thakali", + "tht": "Tahltan", + "thu": "Thuri", + "thv": "Tahaggart Tamahaq", + "thy": "Tha", + "thz": "Tayart Tamajeq", + "ti": "Tigrinya", + "tia": "Tidikelt Tamazight", + "tic": "Tira", + "tif": "Tifal", + "tig": "Tigre", + "tih": "Timugon Murut", + "tii": "Tiene", + "tij": "Tilung", + "tik": "Tikar", + "til": "Tillamook", + "tim": "Timbe", + "tin": "Tindi", + "tio": "Teop", + "tip": "Trimuris", + "tiq": "Tiéfo", + "tis": "Masadiit Itneg", + "tit": "Tinigua", + "tiu": "Adasen", + "tiv": "Tiv", + "tiw": "Tiwi", + "tix": "Southern Tiwa", + "tiy": "Tiruray", + "tiz": "Tai Hongjin", + "tja": "Tajuasohn", + "tjg": "Tunjung", + "tji": "Northern Tujia", + "tjj": "Tjungundji", + "tjl": "Tai Laing", + "tjm": "Timucua", + "tjn": "Tonjon", + "tjo": "Temacine Tamazight", + "tjp": "Tjupany", + "tjs": "Southern Tujia", + "tju": "Tjurruru", + "tjw": "Djabwurrung", + "tk": "Turkmen", + "tka": "Truká", + "tkb": "Buksa", + "tkd": "Tukudede", + "tke": "Takwane", + "tkf": "Tukumanféd", + "tkg": "Tesaka Malagasy", + "tkl": "Tokelau", + "tkm": "Takelma", + "tkn": "Toku-No-Shima", + "tkp": "Tikopia", + "tkq": "Tee", + "tkr": "Tsakhur", + "tks": "Takestani", + "tkt": "Kathoriya Tharu", + "tku": "Upper Necaxa Totonac", + "tkv": "Mur Pano", + "tkw": "Teanu", + "tkx": "Tangko", + "tkz": "Takua", + "tl": "Tagalog", + "tla": "Southwestern Tepehuan", + "tlb": "Tobelo", + "tlc": "Yecuatla Totonac", + "tld": "Talaud", + "tlf": "Telefol", + "tlg": "Tofanma", + "tlh": "Klingon; tlhIngan Hol", + "tli": "Tlingit", + "tlj": "Talinga-Bwisi", + "tlk": "Taloki", + "tll": "Tetela", + "tlm": "Tolomako", + "tln": "Talondo'", + "tlo": "Talodi", + "tlp": "Filomena Mata-Coahuitlán Totonac", + "tlq": "Tai Loi", + "tlr": "Talise", + "tls": "Tambotalo", + "tlt": "Sou Nama; Teluti", + "tlu": "Tulehu", + "tlv": "Taliabu", + "tlx": "Khehek", + "tly": "Talysh", + "tma": "Tama (Chad)", + "tmb": "Katbol; Avava", + "tmc": "Tumak", + "tmd": "Haruai", + "tme": "Tremembé", + "tmf": "Toba-Maskoy", + "tmg": "Ternateño", + "tmh": "Tamashek", + "tmi": "Tutuba", + "tmj": "Samarokena", + "tmk": "Northwestern Tamang", + "tml": "Tamnim Citak", + "tmm": "Tai Thanh", + "tmn": "Taman (Indonesia)", + "tmo": "Temoq", + "tmq": "Tumleo", + "tmr": "Jewish Babylonian Aramaic (ca. 200-1200 CE)", + "tms": "Tima", + "tmt": "Tasmate", + "tmu": "Iau", + "tmv": "Tembo (Motembo)", + "tmw": "Temuan", + "tmy": "Tami", + "tmz": "Tamanaku", + "tn": "Tswana", + "tna": "Tacana", + "tnb": "Western Tunebo", + "tnc": "Tanimuca-Retuarã", + "tnd": "Angosturas Tunebo", + "tng": "Tobanga", + "tnh": "Maiani", + "tni": "Tandia", + "tnk": "Kwamera", + "tnl": "Lenakel", + "tnm": "Tabla", + "tnn": "North Tanna", + "tno": "Toromono", + "tnp": "Whitesands", + "tnq": "Taino", + "tnr": "Ménik", + "tns": "Tenis", + "tnt": "Tontemboan", + "tnu": "Tay Khang", + "tnv": "Tangchangya", + "tnw": "Tonsawang", + "tnx": "Tanema", + "tny": "Tongwe", + "tnz": "Ten'edn", + "to": "Tonga (Tonga Islands)", + "tob": "Toba", + "toc": "Coyutla Totonac", + "tod": "Toma", + "tof": "Gizrra", + "tog": "Tonga (Nyasa)", + "toh": "Gitonga", + "toi": "Tonga (Zambia)", + "toj": "Tojolabal", + "tok": "Toki Pona", + "tol": "Tolowa", + "tom": "Tombulu", + "too": "Xicotepec De Juárez Totonac", + "top": "Papantla Totonac", + "toq": "Toposa", + "tor": "Togbo-Vara Banda", + "tos": "Highland Totonac", + "tou": "Tho", + "tov": "Upper Taromi", + "tow": "Jemez", + "tox": "Tobian", + "toy": "Topoiyo", + "toz": "To", + "tpa": "Taupota", + "tpc": "Azoyú Me'phaa; Azoyú Tlapanec", + "tpe": "Tippera", + "tpf": "Tarpia", + "tpg": "Kula", + "tpi": "Tok Pisin", + "tpj": "Tapieté", + "tpk": "Tupinikin", + "tpl": "Tlacoapa Me'phaa; Tlacoapa Tlapanec", + "tpm": "Tampulma", + "tpn": "Tupinambá", + "tpo": "Tai Pao", + "tpp": "Pisaflores Tepehua", + "tpq": "Tukpa", + "tpr": "Tuparí", + "tpt": "Tlachichilco Tepehua", + "tpu": "Tampuan", + "tpv": "Tanapag", + "tpw": "Tupí", + "tpx": "Acatepec Me'phaa; Acatepec Tlapanec", + "tpy": "Trumai", + "tpz": "Tinputz", + "tqb": "Tembé", + "tql": "Lehali", + "tqm": "Turumsa", + "tqn": "Tenino", + "tqo": "Toaripi", + "tqp": "Tomoip", + "tqq": "Tunni", + "tqr": "Torona", + "tqt": "Western Totonac", + "tqu": "Touo", + "tqw": "Tonkawa", + "tr": "Turkish", + "tra": "Tirahi", + "trb": "Terebu", + "trc": "Copala Triqui", + "trd": "Turi", + "tre": "East Tarangan", + "trf": "Trinidadian Creole English", + "trg": "Lishán Didán", + "trh": "Turaka", + "tri": "Trió", + "trj": "Toram", + "trk": "Turkic languages", + "trl": "Traveller Scottish", + "trm": "Tregami", + "trn": "Trinitario", + "tro": "Tarao Naga", + "trp": "Kok Borok", + "trq": "San Martín Itunyoso Triqui", + "trr": "Taushiro", + "trs": "Chicahuaxtla Triqui", + "trt": "Tunggare", + "tru": "Turoyo; Surayt", + "trv": "Sediq; Seediq; Taroko", + "trw": "Torwali", + "trx": "Tringgus-Sembaan Bidayuh", + "try": "Turung", + "trz": "Torá", + "ts": "Tsonga", + "tsa": "Tsaangi", + "tsb": "Tsamai", + "tsc": "Tswa", + "tsd": "Tsakonian", + "tse": "Tunisian Sign Language", + "tsg": "Tausug", + "tsh": "Tsuvan", + "tsi": "Tsimshian", + "tsj": "Tshangla", + "tsk": "Tseku", + "tsl": "Ts'ün-Lao", + "tsm": "Turkish Sign Language; Türk İşaret Dili", + "tsp": "Northern Toussian", + "tsq": "Thai Sign Language", + "tsr": "Akei", + "tss": "Taiwan Sign Language", + "tst": "Tondi Songway Kiini", + "tsu": "Tsou", + "tsv": "Tsogo", + "tsw": "Tsishingini", + "tsx": "Mubami", + "tsy": "Tebul Sign Language", + "tsz": "Purepecha", + "tt": "Tatar", + "tta": "Tutelo", + "ttb": "Gaa", + "ttc": "Tektiteko", + "ttd": "Tauade", + "tte": "Bwanabwana", + "ttf": "Tuotomb", + "ttg": "Tutong", + "tth": "Upper Ta'oih", + "tti": "Tobati", + "ttj": "Tooro", + "ttk": "Totoro", + "ttl": "Totela", + "ttm": "Northern Tutchone", + "ttn": "Towei", + "tto": "Lower Ta'oih", + "ttp": "Tombelala", + "ttq": "Tawallammat Tamajaq", + "ttr": "Tera", + "tts": "Northeastern Thai", + "ttt": "Muslim Tat", + "ttu": "Torau", + "ttv": "Titan", + "ttw": "Long Wat", + "tty": "Sikaritai", + "ttz": "Tsum", + "tua": "Wiarumus", + "tub": "Tübatulabal", + "tuc": "Mutu", + "tud": "Tuxá", + "tue": "Tuyuca", + "tuf": "Central Tunebo", + "tug": "Tunia", + "tuh": "Taulil", + "tui": "Tupuri", + "tuj": "Tugutil", + "tul": "Tula", + "tum": "Tumbuka", + "tun": "Tunica", + "tuo": "Tucano", + "tup": "Tupi languages", + "tuq": "Tedaga", + "tus": "Tuscarora", + "tut": "Altaic languages", + "tuu": "Tututni", + "tuv": "Turkana", + "tuw": "Tungus languages", + "tux": "Tuxináwa", + "tuy": "Tugen", + "tuz": "Turka", + "tva": "Vaghua", + "tvd": "Tsuvadi", + "tve": "Te'un", + "tvk": "Southeast Ambrym", + "tvl": "Tuvalu", + "tvm": "Tela-Masbuar", + "tvn": "Tavoyan", + "tvo": "Tidore", + "tvs": "Taveta", + "tvt": "Tutsa Naga", + "tvu": "Tunen", + "tvw": "Sedoa", + "tvx": "Taivoan", + "tvy": "Timor Pidgin", + "tw": "Twi", + "twa": "Twana", + "twb": "Western Tawbuid", + "twc": "Teshenawa", + "twd": "Twents", + "twe": "Tewa (Indonesia)", + "twf": "Northern Tiwa", + "twg": "Tereweng", + "twh": "Tai Dón", + "twl": "Tawara", + "twm": "Tawang Monpa", + "twn": "Twendi", + "two": "Tswapong", + "twp": "Ere", + "twq": "Tasawaq", + "twr": "Southwestern Tarahumara", + "twt": "Turiwára", + "twu": "Termanu", + "tww": "Tuwari", + "twx": "Tewe", + "twy": "Tawoyan", + "txa": "Tombonuo", + "txb": "Tokharian B", + "txc": "Tsetsaut", + "txe": "Totoli", + "txg": "Tangut", + "txh": "Thracian", + "txi": "Ikpeng", + "txj": "Tarjumo", + "txm": "Tomini", + "txn": "West Tarangan", + "txo": "Toto", + "txq": "Tii", + "txr": "Tartessian", + "txs": "Tonsea", + "txt": "Citak", + "txu": "Kayapó", + "txx": "Tatana", + "txy": "Tanosy Malagasy", + "ty": "Tahitian", + "tya": "Tauya", + "tye": "Kyanga", + "tyh": "O'du", + "tyi": "Teke-Tsaayi", + "tyj": "Tai Do; Tai Yo", + "tyl": "Thu Lao", + "tyn": "Kombai", + "typ": "Thaypan", + "tyr": "Tai Daeng", + "tys": "Tày Sa Pa", + "tyt": "Tày Tac", + "tyu": "Kua", + "tyv": "Tuvinian", + "tyx": "Teke-Tyee", + "tyy": "Tiyaa", + "tyz": "Tày", + "tza": "Tanzanian Sign Language", + "tzh": "Tzeltal", + "tzj": "Tz'utujil", + "tzl": "Talossan", + "tzm": "Central Atlas Tamazight", + "tzn": "Tugun", + "tzo": "Tzotzil", + "tzx": "Tabriak", + "uam": "Uamué", + "uan": "Kuan", + "uar": "Tairuma", + "uba": "Ubang", + "ubi": "Ubi", + "ubl": "Buhi'non Bikol", + "ubr": "Ubir", + "ubu": "Umbu-Ungu", + "uby": "Ubykh", + "uda": "Uda", + "ude": "Udihe", + "udg": "Muduga", + "udi": "Udi", + "udj": "Ujir", + "udl": "Wuzlam", + "udm": "Udmurt", + "udu": "Uduk", + "ues": "Kioko", + "ufi": "Ufim", + "ug": "Uighur; Uyghur", + "uga": "Ugaritic", + "ugb": "Kuku-Ugbanh", + "uge": "Ughele", + "ugh": "Kubachi", + "ugn": "Ugandan Sign Language", + "ugo": "Ugong", + "ugy": "Uruguayan Sign Language", + "uha": "Uhami", + "uhn": "Damal", + "uis": "Uisai", + "uiv": "Iyive", + "uji": "Tanjijili", + "uk": "Ukrainian", + "uka": "Kaburi", + "ukg": "Ukuriguma", + "ukh": "Ukhwejo", + "uki": "Kui (India)", + "ukk": "Muak Sa-aak", + "ukl": "Ukrainian Sign Language", + "ukp": "Ukpe-Bayobiri", + "ukq": "Ukwa", + "uks": "Urubú-Kaapor Sign Language; Kaapor Sign Language", + "uku": "Ukue", + "ukv": "Kuku", + "ukw": "Ukwuani-Aboh-Ndoni", + "uky": "Kuuk-Yak", + "ula": "Fungwa", + "ulb": "Ulukwumi", + "ulc": "Ulch", + "ule": "Lule", + "ulf": "Usku; Afra", + "uli": "Ulithian", + "ulk": "Meriam Mir", + "ull": "Ullatan", + "ulm": "Ulumanda'", + "uln": "Unserdeutsch", + "ulu": "Uma' Lung", + "ulw": "Ulwa", + "uma": "Umatilla", + "umb": "Umbundu", + "umc": "Marrucinian", + "umd": "Umbindhamu", + "umg": "Morrobalama; Umbuygamu", + "umi": "Ukit", + "umm": "Umon", + "umn": "Makyan Naga", + "umo": "Umotína", + "ump": "Umpila", + "umr": "Umbugarla", + "ums": "Pendau", + "umu": "Munsee", + "una": "North Watut", + "und": "Undetermined", + "une": "Uneme", + "ung": "Ngarinyin", + "uni": "Uni", + "unk": "Enawené-Nawé", + "unm": "Unami", + "unn": "Kurnai", + "unr": "Mundari", + "unu": "Unubahe", + "unx": "Munda", + "unz": "Unde Kaili", + "uon": "Kulon", + "upi": "Umeda", + "upv": "Uripiv-Wala-Rano-Atchin", + "ur": "Urdu", + "ura": "Urarina", + "urb": "Urubú-Kaapor; Kaapor", + "urc": "Urningangg", + "ure": "Uru", + "urf": "Uradhi", + "urg": "Urigina", + "urh": "Urhobo", + "uri": "Urim", + "urj": "Uralic languages", + "urk": "Urak Lawoi'", + "url": "Urali", + "urm": "Urapmin", + "urn": "Uruangnirin", + "uro": "Ura (Papua New Guinea)", + "urp": "Uru-Pa-In", + "urr": "Lehalurup; Löyöp", + "urt": "Urat", + "uru": "Urumi", + "urv": "Uruava", + "urw": "Sop", + "urx": "Urimo", + "ury": "Orya", + "urz": "Uru-Eu-Wau-Wau", + "usa": "Usarufa", + "ush": "Ushojo", + "usi": "Usui", + "usk": "Usaghade", + "usp": "Uspanteco", + "uss": "us-Saare", + "usu": "Uya", + "uta": "Otank", + "ute": "Ute-Southern Paiute", + "uth": "ut-Hun", + "utp": "Amba (Solomon Islands)", + "utr": "Etulo", + "utu": "Utu", + "uum": "Urum", + "uur": "Ura (Vanuatu)", + "uuu": "U", + "uve": "West Uvean; Fagauvea", + "uvh": "Uri", + "uvl": "Lote", + "uwa": "Kuku-Uwanh", + "uya": "Doko-Uyanga", + "uz": "Uzbek", + "uzn": "Northern Uzbek", + "uzs": "Southern Uzbek", + "vaa": "Vaagri Booli", + "vae": "Vale", + "vaf": "Vafsi", + "vag": "Vagla", + "vah": "Varhadi-Nagpuri", + "vai": "Vai", + "vaj": "Sekele; Northwestern ǃKung; Vasekele", + "val": "Vehes", + "vam": "Vanimo", + "van": "Valman", + "vao": "Vao", + "vap": "Vaiphei", + "var": "Huarijio", + "vas": "Vasavi", + "vau": "Vanuma", + "vav": "Varli", + "vay": "Wayu", + "vbb": "Southeast Babar", + "vbk": "Southwestern Bontok", + "ve": "Venda", + "vec": "Venetian", + "ved": "Veddah", + "vel": "Veluws", + "vem": "Vemgo-Mabas", + "veo": "Ventureño", + "vep": "Veps", + "ver": "Mom Jango", + "vgr": "Vaghri", + "vgt": "Vlaamse Gebarentaal; Flemish Sign Language", + "vi": "Vietnamese", + "vic": "Virgin Islands Creole English", + "vid": "Vidunda", + "vif": "Vili", + "vig": "Viemo", + "vil": "Vilela", + "vin": "Vinza", + "vis": "Vishavan", + "vit": "Viti", + "viv": "Iduna", + "vka": "Kariyarra", + "vkj": "Kujarge", + "vkk": "Kaur", + "vkl": "Kulisusu", + "vkm": "Kamakan", + "vkn": "Koro Nulu", + "vko": "Kodeoha", + "vkp": "Korlai Creole Portuguese", + "vkt": "Tenggarong Kutai Malay", + "vku": "Kurrama", + "vkz": "Koro Zuba", + "vlp": "Valpei", + "vls": "Vlaams", + "vma": "Martuyhunira", + "vmb": "Barbaram", + "vmc": "Juxtlahuaca Mixtec", + "vmd": "Mudu Koraga", + "vme": "East Masela", + "vmf": "Mainfränkisch", + "vmg": "Lungalunga", + "vmh": "Maraghei", + "vmi": "Miwa", + "vmj": "Ixtayutla Mixtec", + "vmk": "Makhuwa-Shirima", + "vml": "Malgana", + "vmm": "Mitlatongo Mixtec", + "vmp": "Soyaltepec Mazatec", + "vmq": "Soyaltepec Mixtec", + "vmr": "Marenje", + "vms": "Moksela", + "vmu": "Muluridyi", + "vmv": "Valley Maidu", + "vmw": "Makhuwa", + "vmx": "Tamazola Mixtec", + "vmy": "Ayautla Mazatec", + "vmz": "Mazatlán Mazatec", + "vnk": "Vano; Lovono", + "vnm": "Vinmavis; Neve'ei", + "vnp": "Vunapu", + "vo": "Volapük", + "vor": "Voro", + "vot": "Votic", + "vra": "Vera'a", + "vro": "Võro", + "vrs": "Varisi", + "vrt": "Burmbar; Banam Bay", + "vsi": "Moldova Sign Language", + "vsl": "Venezuelan Sign Language", + "vsv": "Valencian Sign Language; Llengua de signes valenciana", + "vto": "Vitou", + "vum": "Vumbu", + "vun": "Vunjo", + "vut": "Vute", + "vwa": "Awa (China)", + "wa": "Walloon", + "waa": "Walla Walla", + "wab": "Wab", + "wac": "Wasco-Wishram", + "wad": "Wamesa; Wondama", + "wae": "Walser", + "waf": "Wakoná", + "wag": "Wa'ema", + "wah": "Watubela", + "wai": "Wares", + "waj": "Waffa", + "wak": "Wakashan languages", + "wal": "Wolaytta; Wolaitta", + "wam": "Wampanoag", + "wan": "Wan", + "wao": "Wappo", + "wap": "Wapishana", + "waq": "Wagiman", + "war": "Waray (Philippines)", + "was": "Washo", + "wat": "Kaninuwa", + "wau": "Waurá", + "wav": "Waka", + "waw": "Waiwai", + "wax": "Watam; Marangis", + "way": "Wayana", + "waz": "Wampur", + "wba": "Warao", + "wbb": "Wabo", + "wbe": "Waritai", + "wbf": "Wara", + "wbh": "Wanda", + "wbi": "Vwanji", + "wbj": "Alagwa", + "wbk": "Waigali", + "wbl": "Wakhi", + "wbm": "Wa", + "wbp": "Warlpiri", + "wbq": "Waddar", + "wbr": "Wagdi", + "wbs": "West Bengal Sign Language", + "wbt": "Warnman", + "wbv": "Wajarri", + "wbw": "Woi", + "wca": "Yanomámi", + "wci": "Waci Gbe", + "wdd": "Wandji", + "wdg": "Wadaginam", + "wdj": "Wadjiginy", + "wdk": "Wadikali", + "wdt": "Wendat", + "wdu": "Wadjigu", + "wdy": "Wadjabangayi", + "wea": "Wewaw", + "wec": "Wè Western", + "wed": "Wedau", + "weg": "Wergaia", + "weh": "Weh", + "wei": "Kiunum", + "wem": "Weme Gbe", + "wen": "Sorbian languages", + "weo": "Wemale", + "wep": "Westphalien", + "wer": "Weri", + "wes": "Cameroon Pidgin", + "wet": "Perai", + "weu": "Rawngtu Chin", + "wew": "Wejewa", + "wfg": "Yafi; Zorop", + "wga": "Wagaya", + "wgb": "Wagawaga", + "wgg": "Wangkangurru; Wangganguru", + "wgi": "Wahgi", + "wgo": "Waigeo", + "wgu": "Wirangu", + "wgy": "Warrgamay", + "wha": "Sou Upaa; Manusela", + "whg": "North Wahgi", + "whk": "Wahau Kenyah", + "whu": "Wahau Kayan", + "wib": "Southern Toussian", + "wic": "Wichita", + "wie": "Wik-Epa", + "wif": "Wik-Keyangan", + "wig": "Wik Ngathan", + "wih": "Wik-Me'anha", + "wii": "Minidien", + "wij": "Wik-Iiyanh", + "wik": "Wikalkan", + "wil": "Wilawila", + "wim": "Wik-Mungkan", + "win": "Ho-Chunk", + "wir": "Wiraféd", + "wiu": "Wiru", + "wiv": "Vitu", + "wiy": "Wiyot", + "wja": "Waja", + "wji": "Warji", + "wka": "Kw'adza", + "wkb": "Kumbaran", + "wkd": "Wakde; Mo", + "wkl": "Kalanadi", + "wkr": "Keerray-Woorroong", + "wku": "Kunduvadi", + "wkw": "Wakawaka", + "wky": "Wangkayutyuru", + "wla": "Walio", + "wlc": "Mwali Comorian", + "wle": "Wolane", + "wlg": "Kunbarlang", + "wlh": "Welaun", + "wli": "Waioli", + "wlk": "Wailaki", + "wll": "Wali (Sudan)", + "wlm": "Middle Welsh", + "wlo": "Wolio", + "wlr": "Wailapa", + "wls": "Wallisian", + "wlu": "Wuliwuli", + "wlv": "Wichí Lhamtés Vejoz", + "wlw": "Walak", + "wlx": "Wali (Ghana)", + "wly": "Waling", + "wma": "Mawa (Nigeria)", + "wmb": "Wambaya", + "wmc": "Wamas", + "wmd": "Mamaindé", + "wme": "Wambule", + "wmg": "Western Minyag", + "wmh": "Waima'a", + "wmi": "Wamin", + "wmm": "Maiwa (Indonesia)", + "wmn": "Waamwang", + "wmo": "Wom (Papua New Guinea)", + "wms": "Wambon", + "wmt": "Walmajarri", + "wmw": "Mwani", + "wmx": "Womo", + "wnb": "Wanambre", + "wnc": "Wantoat", + "wnd": "Wandarang", + "wne": "Waneci", + "wng": "Wanggom", + "wni": "Ndzwani Comorian", + "wnk": "Wanukaka", + "wnm": "Wanggamala", + "wnn": "Wunumara", + "wno": "Wano", + "wnp": "Wanap", + "wnu": "Usan", + "wnw": "Wintu", + "wny": "Wanyi; Waanyi", + "wo": "Wolof", + "woa": "Kuwema; Tyaraity", + "wob": "Wè Northern", + "woc": "Wogeo", + "wod": "Wolani", + "woe": "Woleaian", + "wof": "Gambian Wolof", + "wog": "Wogamusin", + "woi": "Kamang", + "wok": "Longto", + "wom": "Wom (Nigeria)", + "won": "Wongo", + "woo": "Manombai", + "wor": "Woria", + "wos": "Hanga Hundi", + "wow": "Wawonii", + "woy": "Weyto", + "wpc": "Maco", + "wrb": "Waluwarra; Warluwara", + "wrg": "Warungu; Gudjal", + "wrh": "Wiradjuri", + "wri": "Wariyangga", + "wrk": "Garrwa", + "wrl": "Warlmanpa", + "wrm": "Warumungu", + "wrn": "Warnang", + "wro": "Worrorra", + "wrp": "Waropen", + "wrr": "Wardaman", + "wrs": "Waris", + "wru": "Waru", + "wrv": "Waruna", + "wrw": "Gugu Warra", + "wrx": "Wae Rana", + "wry": "Merwari", + "wrz": "Waray (Australia)", + "wsa": "Warembori", + "wsg": "Adilabad Gondi", + "wsi": "Wusi", + "wsk": "Waskia", + "wsr": "Owenia", + "wss": "Wasa", + "wsu": "Wasu", + "wsv": "Wotapuri-Katarqalai", + "wtf": "Watiwa", + "wth": "Wathawurrung", + "wti": "Berta", + "wtk": "Watakataui", + "wtm": "Mewati", + "wtw": "Wotu", + "wua": "Wikngenchera", + "wub": "Wunambal", + "wud": "Wudu", + "wuh": "Wutunhua", + "wul": "Silimo", + "wum": "Wumbvu", + "wun": "Bungu", + "wur": "Wurrugu", + "wut": "Wutung", + "wuu": "Wu Chinese", + "wuv": "Wuvulu-Aua", + "wux": "Wulna", + "wuy": "Wauyai", + "wwa": "Waama", + "wwb": "Wakabunga", + "wwo": "Wetamut; Dorig", + "wwr": "Warrwa", + "www": "Wawa", + "wxa": "Waxianghua", + "wxw": "Wardandi", + "wyb": "Wangaaybuwan-Ngiyambaa", + "wyi": "Woiwurrung", + "wym": "Wymysorys", + "wyn": "Wyandot", + "wyr": "Wayoró", + "wyy": "Western Fijian", + "xaa": "Andalusian Arabic", + "xab": "Sambe", + "xac": "Kachari", + "xad": "Adai", + "xae": "Aequian", + "xag": "Aghwan", + "xai": "Kaimbé", + "xaj": "Ararandewára", + "xak": "Máku", + "xal": "Kalmyk; Oirat", + "xam": "ǀXam", + "xan": "Xamtanga", + "xao": "Khao", + "xap": "Apalachee", + "xaq": "Aquitanian", + "xar": "Karami", + "xas": "Kamas", + "xat": "Katawixi", + "xau": "Kauwera", + "xav": "Xavánte", + "xaw": "Kawaiisu", + "xay": "Kayan Mahakam", + "xbb": "Lower Burdekin", + "xbc": "Bactrian", + "xbd": "Bindal", + "xbe": "Bigambal", + "xbg": "Bunganditj", + "xbi": "Kombio", + "xbj": "Birrpayi", + "xbm": "Middle Breton", + "xbn": "Kenaboi", + "xbo": "Bolgarian", + "xbp": "Bibbulman", + "xbr": "Kambera", + "xbw": "Kambiwá", + "xby": "Batjala; Batyala", + "xcb": "Cumbric", + "xcc": "Camunic", + "xce": "Celtiberian", + "xcg": "Cisalpine Gaulish", + "xch": "Chemakum; Chimakum", + "xcl": "Classical Armenian", + "xcm": "Comecrudo", + "xcn": "Cotoname", + "xco": "Chorasmian", + "xcr": "Carian", + "xct": "Classical Tibetan", + "xcu": "Curonian", + "xcv": "Chuvantsy", + "xcw": "Coahuilteco", + "xcy": "Cayuse", + "xda": "Darkinyung", + "xdc": "Dacian", + "xdk": "Dharuk", + "xdm": "Edomite", + "xdo": "Kwandu", + "xdq": "Kaitag", + "xdy": "Malayic Dayak", + "xeb": "Eblan", + "xed": "Hdi", + "xeg": "ǁXegwi", + "xel": "Kelo", + "xem": "Kembayan", + "xep": "Epi-Olmec", + "xer": "Xerénte", + "xes": "Kesawai", + "xet": "Xetá", + "xeu": "Keoru-Ahia", + "xfa": "Faliscan", + "xga": "Galatian", + "xgb": "Gbin", + "xgd": "Gudang", + "xgf": "Gabrielino-Fernandeño", + "xgg": "Goreng", + "xgi": "Garingbal", + "xgl": "Galindan", + "xgm": "Dharumbal; Guwinmal", + "xgn": "Mongolian languages", + "xgr": "Garza", + "xgu": "Unggumi", + "xgw": "Guwa", + "xh": "Xhosa", + "xha": "Harami", + "xhc": "Hunnic", + "xhd": "Hadrami", + "xhe": "Khetrani", + "xhm": "Middle Khmer (1400 to 1850 CE)", + "xhr": "Hernican", + "xht": "Hattic", + "xhu": "Hurrian", + "xhv": "Khua", + "xib": "Iberian", + "xii": "Xiri", + "xil": "Illyrian", + "xin": "Xinca", + "xir": "Xiriâna", + "xis": "Kisan", + "xiv": "Indus Valley Language", + "xiy": "Xipaya", + "xjb": "Minjungbal", + "xjt": "Jaitmatang", + "xka": "Kalkoti", + "xkb": "Northern Nago", + "xkc": "Kho'ini", + "xkd": "Mendalam Kayan", + "xke": "Kereho", + "xkf": "Khengkha", + "xkg": "Kagoro", + "xki": "Kenyan Sign Language", + "xkj": "Kajali", + "xkk": "Kachok; Kaco'", + "xkl": "Mainstream Kenyah", + "xkn": "Kayan River Kayan", + "xko": "Kiorr", + "xkp": "Kabatei", + "xkq": "Koroni", + "xkr": "Xakriabá", + "xks": "Kumbewaha", + "xkt": "Kantosi", + "xku": "Kaamba", + "xkv": "Kgalagadi", + "xkw": "Kembra", + "xkx": "Karore", + "xky": "Uma' Lasan", + "xkz": "Kurtokha", + "xla": "Kamula", + "xlb": "Loup B", + "xlc": "Lycian", + "xld": "Lydian", + "xle": "Lemnian", + "xlg": "Ligurian (Ancient)", + "xli": "Liburnian", + "xln": "Alanic", + "xlo": "Loup A", + "xlp": "Lepontic", + "xls": "Lusitanian", + "xlu": "Cuneiform Luwian", + "xly": "Elymian", + "xma": "Mushungulu", + "xmb": "Mbonga", + "xmc": "Makhuwa-Marrevone", + "xmd": "Mbudum", + "xme": "Median", + "xmf": "Mingrelian", + "xmg": "Mengaka", + "xmh": "Kugu-Muminh", + "xmj": "Majera", + "xmk": "Ancient Macedonian", + "xml": "Malaysian Sign Language", + "xmm": "Manado Malay", + "xmn": "Manichaean Middle Persian", + "xmo": "Morerebi", + "xmp": "Kuku-Mu'inh", + "xmq": "Kuku-Mangk", + "xmr": "Meroitic", + "xms": "Moroccan Sign Language", + "xmt": "Matbat", + "xmu": "Kamu", + "xmv": "Antankarana Malagasy; Tankarana Malagasy", + "xmw": "Tsimihety Malagasy", + "xmx": "Salawati; Maden", + "xmy": "Mayaguduna", + "xmz": "Mori Bawah", + "xna": "Ancient North Arabian", + "xnb": "Kanakanabu", + "xnd": "Na-Dene languages", + "xng": "Middle Mongolian", + "xnh": "Kuanhua", + "xni": "Ngarigu", + "xnj": "Ngoni (Tanzania)", + "xnk": "Nganakarti", + "xnm": "Ngumbarl", + "xnn": "Northern Kankanay", + "xno": "Anglo-Norman", + "xnq": "Ngoni (Mozambique)", + "xnr": "Kangri", + "xns": "Kanashi", + "xnt": "Narragansett", + "xnu": "Nukunul", + "xny": "Nyiyaparli", + "xnz": "Kenzi; Mattoki", + "xoc": "O'chi'chi'", + "xod": "Kokoda", + "xog": "Soga", + "xoi": "Kominimung", + "xok": "Xokleng", + "xom": "Komo (Sudan)", + "xon": "Konkomba", + "xoo": "Xukurú", + "xop": "Kopar", + "xor": "Korubo", + "xow": "Kowaki", + "xpa": "Pirriya", + "xpb": "Northeastern Tasmanian; Pyemmairrener", + "xpc": "Pecheneg", + "xpd": "Oyster Bay Tasmanian", + "xpe": "Liberia Kpelle", + "xpf": "Southeast Tasmanian; Nuenonne", + "xpg": "Phrygian", + "xph": "North Midlands Tasmanian; Tyerrenoterpanner", + "xpi": "Pictish", + "xpj": "Mpalitjanh", + "xpk": "Kulina Pano", + "xpl": "Port Sorell Tasmanian", + "xpm": "Pumpokol", + "xpn": "Kapinawá", + "xpo": "Pochutec", + "xpp": "Puyo-Paekche", + "xpq": "Mohegan-Pequot", + "xpr": "Parthian", + "xps": "Pisidian", + "xpt": "Punthamara", + "xpu": "Punic", + "xpv": "Northern Tasmanian; Tommeginne", + "xpw": "Northwestern Tasmanian; Peerapper", + "xpx": "Southwestern Tasmanian; Toogee", + "xpy": "Puyo", + "xpz": "Bruny Island Tasmanian", + "xqa": "Karakhanid", + "xqt": "Qatabanian", + "xra": "Krahô", + "xrb": "Eastern Karaboro", + "xrd": "Gundungurra", + "xre": "Kreye", + "xrg": "Minang", + "xri": "Krikati-Timbira", + "xrm": "Armazic", + "xrn": "Arin", + "xrr": "Raetic", + "xrt": "Aranama-Tamique", + "xru": "Marriammu", + "xrw": "Karawa", + "xsa": "Sabaean", + "xsb": "Sambal", + "xsc": "Scythian", + "xsd": "Sidetic", + "xse": "Sempan", + "xsh": "Shamang", + "xsi": "Sio", + "xsj": "Subi", + "xsl": "South Slavey", + "xsm": "Kasem", + "xsn": "Sanga (Nigeria)", + "xso": "Solano", + "xsp": "Silopi", + "xsq": "Makhuwa-Saka", + "xsr": "Sherpa", + "xss": "Assan", + "xsu": "Sanumá", + "xsv": "Sudovian", + "xsy": "Saisiyat", + "xta": "Alcozauca Mixtec", + "xtb": "Chazumba Mixtec", + "xtc": "Katcha-Kadugli-Miri", + "xtd": "Diuxi-Tilantongo Mixtec", + "xte": "Ketengban", + "xtg": "Transalpine Gaulish", + "xth": "Yitha Yitha", + "xti": "Sinicahua Mixtec", + "xtj": "San Juan Teita Mixtec", + "xtl": "Tijaltepec Mixtec", + "xtm": "Magdalena Peñasco Mixtec", + "xtn": "Northern Tlaxiaco Mixtec", + "xto": "Tokharian A", + "xtp": "San Miguel Piedras Mixtec", + "xtq": "Tumshuqese", + "xtr": "Early Tripuri", + "xts": "Sindihui Mixtec", + "xtt": "Tacahua Mixtec", + "xtu": "Cuyamecalco Mixtec", + "xtv": "Thawa", + "xtw": "Tawandê", + "xty": "Yoloxochitl Mixtec", + "xua": "Alu Kurumba", + "xub": "Betta Kurumba", + "xud": "Umiida", + "xug": "Kunigami", + "xuj": "Jennu Kurumba", + "xul": "Ngunawal; Nunukul", + "xum": "Umbrian", + "xun": "Unggaranggu", + "xuo": "Kuo", + "xup": "Upper Umpqua", + "xur": "Urartian", + "xut": "Kuthant", + "xuu": "Kxoe; Khwedam", + "xve": "Venetic", + "xvi": "Kamviri", + "xvn": "Vandalic", + "xvo": "Volscian", + "xvs": "Vestinian", + "xwa": "Kwaza", + "xwc": "Woccon", + "xwd": "Wadi Wadi", + "xwe": "Xwela Gbe", + "xwg": "Kwegu", + "xwj": "Wajuk", + "xwk": "Wangkumara", + "xwl": "Western Xwla Gbe", + "xwo": "Written Oirat", + "xwr": "Kwerba Mamberamo", + "xwt": "Wotjobaluk", + "xww": "Wemba Wemba", + "xxb": "Boro (Ghana)", + "xxk": "Ke'o", + "xxm": "Minkin", + "xxr": "Koropó", + "xxt": "Tambora", + "xya": "Yaygir", + "xyb": "Yandjibara", + "xyj": "Mayi-Yapi", + "xyk": "Mayi-Kulan", + "xyl": "Yalakalore", + "xyt": "Mayi-Thakurti", + "xyy": "Yorta Yorta", + "xzh": "Zhang-Zhung", + "xzm": "Zemgalian", + "xzp": "Ancient Zapotec", + "yaa": "Yaminahua", + "yab": "Yuhup", + "yac": "Pass Valley Yali", + "yad": "Yagua", + "yae": "Pumé", + "yaf": "Yaka (Democratic Republic of Congo)", + "yag": "Yámana", + "yah": "Yazgulyam", + "yai": "Yagnobi", + "yaj": "Banda-Yangere", + "yak": "Yakama", + "yal": "Yalunka", + "yam": "Yamba", + "yan": "Mayangna", + "yao": "Yao", + "yap": "Yapese", + "yaq": "Yaqui", + "yar": "Yabarana", + "yas": "Nugunu (Cameroon)", + "yat": "Yambeta", + "yau": "Yuwana", + "yav": "Yangben", + "yaw": "Yawalapití", + "yax": "Yauma", + "yay": "Agwagwune", + "yaz": "Lokaa", + "yba": "Yala", + "ybb": "Yemba", + "ybe": "West Yugur", + "ybh": "Yakha", + "ybi": "Yamphu", + "ybj": "Hasha", + "ybk": "Bokha", + "ybl": "Yukuben", + "ybm": "Yaben", + "ybn": "Yabaâna", + "ybo": "Yabong", + "ybx": "Yawiyo", + "yby": "Yaweyuha", + "ych": "Chesu", + "ycl": "Lolopo", + "ycn": "Yucuna", + "ycp": "Chepya", + "yda": "Yanda", + "ydd": "Eastern Yiddish", + "yde": "Yangum Dey", + "ydg": "Yidgha", + "ydk": "Yoidik", + "yea": "Ravula", + "yec": "Yeniche", + "yee": "Yimas", + "yei": "Yeni", + "yej": "Yevanic", + "yel": "Yela", + "yer": "Tarok", + "yes": "Nyankpa", + "yet": "Yetfa", + "yeu": "Yerukula", + "yev": "Yapunda", + "yey": "Yeyi", + "yga": "Malyangapa", + "ygi": "Yiningayi", + "ygl": "Yangum Gel", + "ygm": "Yagomi", + "ygp": "Gepo", + "ygr": "Yagaria", + "ygs": "Yolŋu Sign Language", + "ygu": "Yugul", + "ygw": "Yagwoia", + "yha": "Baha Buyang", + "yhd": "Judeo-Iraqi Arabic", + "yhl": "Hlepho Phowa", + "yhs": "Yan-nhaŋu Sign Language", + "yi": "Yiddish", + "yia": "Yinggarda", + "yif": "Ache", + "yig": "Wusa Nasu", + "yih": "Western Yiddish", + "yii": "Yidiny", + "yij": "Yindjibarndi", + "yik": "Dongshanba Lalo", + "yil": "Yindjilandji", + "yim": "Yimchungru Naga", + "yin": "Riang Lai; Yinchia", + "yip": "Pholo", + "yiq": "Miqie", + "yir": "North Awyu", + "yis": "Yis", + "yit": "Eastern Lalu", + "yiu": "Awu", + "yiv": "Northern Nisu", + "yix": "Axi Yi", + "yiz": "Azhe", + "yka": "Yakan", + "ykg": "Northern Yukaghir", + "yki": "Yoke", + "ykk": "Yakaikeke", + "ykl": "Khlula", + "ykm": "Kap", + "ykn": "Kua-nsi", + "yko": "Yasa", + "ykr": "Yekora", + "ykt": "Kathu", + "yku": "Kuamasi", + "yky": "Yakoma", + "yla": "Yaul", + "ylb": "Yaleba", + "yle": "Yele", + "ylg": "Yelogu", + "yli": "Angguruk Yali", + "yll": "Yil", + "ylm": "Limi", + "yln": "Langnian Buyang", + "ylo": "Naluo Yi", + "ylr": "Yalarnnga", + "ylu": "Aribwaung", + "yly": "Nyâlayu; Nyelâyu", + "ymb": "Yambes", + "ymc": "Southern Muji", + "ymd": "Muda", + "yme": "Yameo", + "ymg": "Yamongeri", + "ymh": "Mili", + "ymi": "Moji", + "ymk": "Makwe", + "yml": "Iamalele", + "ymm": "Maay", + "ymn": "Yamna; Sunum", + "ymo": "Yangum Mon", + "ymp": "Yamap", + "ymq": "Qila Muji", + "ymr": "Malasar", + "yms": "Mysian", + "ymx": "Northern Muji", + "ymz": "Muzi", + "yna": "Aluo", + "ynd": "Yandruwandha", + "yne": "Lang'e", + "yng": "Yango", + "ynk": "Naukan Yupik", + "ynl": "Yangulam", + "ynn": "Yana", + "yno": "Yong", + "ynq": "Yendang", + "yns": "Yansi", + "ynu": "Yahuna", + "yo": "Yoruba", + "yob": "Yoba", + "yog": "Yogad", + "yoi": "Yonaguni", + "yok": "Yokuts", + "yol": "Yola", + "yom": "Yombe", + "yon": "Yongkom", + "yot": "Yotti", + "yox": "Yoron", + "yoy": "Yoy", + "ypa": "Phala", + "ypb": "Labo Phowa", + "ypg": "Phola", + "yph": "Phupha", + "ypk": "Yupik languages", + "ypm": "Phuma", + "ypn": "Ani Phowa", + "ypo": "Alo Phola", + "ypp": "Phupa", + "ypz": "Phuza", + "yra": "Yerakai", + "yrb": "Yareba", + "yre": "Yaouré", + "yrk": "Nenets", + "yrl": "Nhengatu", + "yrm": "Yirrk-Mel", + "yrn": "Yerong", + "yro": "Yaroamë", + "yrs": "Yarsun", + "yrw": "Yarawata", + "yry": "Yarluyandi", + "ysc": "Yassic", + "ysd": "Samatao", + "ysg": "Sonaga", + "ysl": "Yugoslavian Sign Language", + "ysm": "Myanmar Sign Language", + "ysn": "Sani", + "yso": "Nisi (China)", + "ysp": "Southern Lolopo", + "ysr": "Sirenik Yupik", + "yss": "Yessan-Mayo", + "ysy": "Sanie", + "yta": "Talu", + "ytl": "Tanglang", + "ytp": "Thopho", + "ytw": "Yout Wam", + "yty": "Yatay", + "yua": "Yucateco; Yucatec Maya", + "yub": "Yugambal", + "yuc": "Yuchi", + "yud": "Judeo-Tripolitanian Arabic", + "yue": "Yue Chinese; Cantonese", + "yuf": "Havasupai-Walapai-Yavapai", + "yug": "Yug", + "yui": "Yurutí", + "yuj": "Karkar-Yuri", + "yuk": "Yuki", + "yul": "Yulu", + "yum": "Quechan", + "yun": "Bena (Nigeria)", + "yup": "Yukpa", + "yuq": "Yuqui", + "yur": "Yurok", + "yut": "Yopno", + "yuw": "Yau (Morobe Province)", + "yux": "Southern Yukaghir", + "yuy": "East Yugur", + "yuz": "Yuracare", + "yva": "Yawa", + "yvt": "Yavitero", + "ywa": "Kalou", + "ywg": "Yinhawangka", + "ywl": "Western Lalu", + "ywn": "Yawanawa", + "ywq": "Wuding-Luquan Yi", + "ywr": "Yawuru", + "ywt": "Xishanba Lalo; Central Lalo", + "ywu": "Wumeng Nasu", + "yww": "Yawarawarga", + "yxa": "Mayawali", + "yxg": "Yagara", + "yxl": "Yardliyawarra", + "yxm": "Yinwum", + "yxu": "Yuyu", + "yxy": "Yabula Yabula", + "yyr": "Yir Yoront", + "yyu": "Yau (Sandaun Province)", + "yyz": "Ayizi", + "yzg": "E'ma Buyang", + "yzk": "Zokhuo", + "za": "Zhuang; Chuang", + "zaa": "Sierra de Juárez Zapotec", + "zab": "Western Tlacolula Valley Zapotec; San Juan Guelavía Zapotec", + "zac": "Ocotlán Zapotec", + "zad": "Cajonos Zapotec", + "zae": "Yareni Zapotec", + "zaf": "Ayoquesco Zapotec", + "zag": "Zaghawa", + "zah": "Zangwal", + "zai": "Isthmus Zapotec", + "zaj": "Zaramo", + "zak": "Zanaki", + "zal": "Zauzou", + "zam": "Miahuatlán Zapotec", + "zao": "Ozolotepec Zapotec", + "zap": "Zapotec", + "zaq": "Aloápam Zapotec", + "zar": "Rincón Zapotec", + "zas": "Santo Domingo Albarradas Zapotec", + "zat": "Tabaa Zapotec", + "zau": "Zangskari", + "zav": "Yatzachi Zapotec", + "zaw": "Mitla Zapotec", + "zax": "Xadani Zapotec", + "zay": "Zayse-Zergulla; Zaysete", + "zaz": "Zari", + "zba": "Balaibalan", + "zbc": "Central Berawan", + "zbe": "East Berawan", + "zbl": "Blissymbols; Bliss; Blissymbolics", + "zbt": "Batui", + "zbu": "Bu (Bauchi State)", + "zbw": "West Berawan", + "zca": "Coatecas Altas Zapotec", + "zcd": "Las Delicias Zapotec", + "zch": "Central Hongshuihe Zhuang", + "zdj": "Ngazidja Comorian", + "zea": "Zeeuws", + "zeg": "Zenag", + "zeh": "Eastern Hongshuihe Zhuang", + "zen": "Zenaga", + "zga": "Kinga", + "zgb": "Guibei Zhuang", + "zgh": "Standard Moroccan Tamazight", + "zgm": "Minz Zhuang", + "zgn": "Guibian Zhuang", + "zgr": "Magori", + "zh": "Chinese", + "zhb": "Zhaba", + "zhd": "Dai Zhuang", + "zhi": "Zhire", + "zhn": "Nong Zhuang", + "zhw": "Zhoa", + "zhx": "Chinese (family)", + "zia": "Zia", + "zib": "Zimbabwe Sign Language", + "zik": "Zimakani", + "zil": "Zialo", + "zim": "Mesme", + "zin": "Zinza", + "ziw": "Zigula", + "ziz": "Zizilivakan", + "zka": "Kaimbulawa", + "zkb": "Koibal", + "zkd": "Kadu", + "zkg": "Koguryo", + "zkh": "Khorezmian", + "zkk": "Karankawa", + "zkn": "Kanan", + "zko": "Kott", + "zkp": "São Paulo Kaingáng", + "zkr": "Zakhring", + "zkt": "Kitan", + "zku": "Kaurna", + "zkv": "Krevinian", + "zkz": "Khazar", + "zla": "Zula", + "zle": "East Slavic languages", + "zlj": "Liujiang Zhuang", + "zlm": "Malay (individual language)", + "zln": "Lianshan Zhuang", + "zlq": "Liuqian Zhuang", + "zls": "South Slavic languages", + "zlw": "West Slavic languages", + "zma": "Manda (Australia)", + "zmb": "Zimba", + "zmc": "Margany", + "zmd": "Maridan", + "zme": "Mangerr", + "zmf": "Mfinu", + "zmg": "Marti Ke", + "zmh": "Makolkol", + "zmi": "Negeri Sembilan Malay", + "zmj": "Maridjabin", + "zmk": "Mandandanyi", + "zml": "Matngala", + "zmm": "Marimanindji; Marramaninyshi", + "zmn": "Mbangwe", + "zmo": "Molo", + "zmp": "Mpuono", + "zmq": "Mituku", + "zmr": "Maranunggu", + "zms": "Mbesa", + "zmt": "Maringarr", + "zmu": "Muruwari", + "zmv": "Mbariman-Gudhinma", + "zmw": "Mbo (Democratic Republic of Congo)", + "zmx": "Bomitaba", + "zmy": "Mariyedi", + "zmz": "Mbandja", + "zna": "Zan Gula", + "znd": "Zande languages", + "zne": "Zande (individual language)", + "zng": "Mang", + "znk": "Manangkari", + "zns": "Mangas", + "zoc": "Copainalá Zoque", + "zoh": "Chimalapa Zoque", + "zom": "Zou", + "zoo": "Asunción Mixtepec Zapotec", + "zoq": "Tabasco Zoque", + "zor": "Rayón Zoque", + "zos": "Francisco León Zoque", + "zpa": "Lachiguiri Zapotec", + "zpb": "Yautepec Zapotec", + "zpc": "Choapan Zapotec", + "zpd": "Southeastern Ixtlán Zapotec", + "zpe": "Petapa Zapotec", + "zpf": "San Pedro Quiatoni Zapotec", + "zpg": "Guevea De Humboldt Zapotec", + "zph": "Totomachapan Zapotec", + "zpi": "Santa María Quiegolani Zapotec", + "zpj": "Quiavicuzas Zapotec", + "zpk": "Tlacolulita Zapotec", + "zpl": "Lachixío Zapotec", + "zpm": "Mixtepec Zapotec", + "zpn": "Santa Inés Yatzechi Zapotec", + "zpo": "Amatlán Zapotec", + "zpp": "El Alto Zapotec", + "zpq": "Zoogocho Zapotec", + "zpr": "Santiago Xanica Zapotec", + "zps": "Coatlán Zapotec", + "zpt": "San Vicente Coatlán Zapotec", + "zpu": "Yalálag Zapotec", + "zpv": "Chichicapan Zapotec", + "zpw": "Zaniza Zapotec", + "zpx": "San Baltazar Loxicha Zapotec", + "zpy": "Mazaltepec Zapotec", + "zpz": "Texmelucan Zapotec", + "zqe": "Qiubei Zhuang", + "zra": "Kara (Korea)", + "zrg": "Mirgan", + "zrn": "Zerenkel", + "zro": "Záparo", + "zrp": "Zarphatic", + "zrs": "Mairasi", + "zsa": "Sarasira", + "zsk": "Kaskean", + "zsl": "Zambian Sign Language", + "zsm": "Standard Malay", + "zsr": "Southern Rincon Zapotec", + "zsu": "Sukurum", + "zte": "Elotepec Zapotec", + "ztg": "Xanaguía Zapotec", + "ztl": "Lapaguía-Guivini Zapotec", + "ztm": "San Agustín Mixtepec Zapotec", + "ztn": "Santa Catarina Albarradas Zapotec", + "ztp": "Loxicha Zapotec", + "ztq": "Quioquitani-Quierí Zapotec", + "zts": "Tilquiapan Zapotec", + "ztt": "Tejalapan Zapotec", + "ztu": "Güilá Zapotec", + "ztx": "Zaachila Zapotec", + "zty": "Yatee Zapotec", + "zu": "Zulu", + "zua": "Zeem", + "zuh": "Tokano", + "zum": "Kumzari", + "zun": "Zuni", + "zuy": "Zumaya", + "zwa": "Zay", + "zyb": "Yongbei Zhuang", + "zyg": "Yang Zhuang", + "zyj": "Youjiang Zhuang", + "zyn": "Yongnan Zhuang", + "zyp": "Zyphe Chin", + "zza": "Zaza; Dimili; Dimli (macrolanguage); Kirdki; Kirmanjki (macrolanguage); Zazaki", + "zzj": "Zuojiang Zhuang" +} \ No newline at end of file diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/multilingualities.json b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/multilingualities.json new file mode 100644 index 0000000000000000000000000000000000000000..a35c79f03dfcf7c8a116b7fc8ee1b383ab5022fa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/multilingualities.json @@ -0,0 +1,6 @@ +{ + "monolingual": "contains a single language", + "multilingual": "contains multiple languages", + "translation": "contains translated or aligned text", + "other": "other type of language distribution" +} diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/readme_structure.yaml b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/readme_structure.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5b781e11e8258a446874ebf96104f642d0c190cf --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/readme_structure.yaml @@ -0,0 +1,116 @@ +name: "" # Filename comes here +allow_empty: false +allow_empty_text: true +subsections: + - name: "Dataset Card for X" # First-level markdown heading + allow_empty: false + allow_empty_text: true + subsections: + - name: "Table of Contents" + allow_empty: false + allow_empty_text: false + subsections: null # meaning it should not be checked. + - name: "Dataset Description" + allow_empty: false + allow_empty_text: false + subsections: + - name: "Dataset Summary" + allow_empty: false + allow_empty_text: false + subsections: null + - name: "Supported Tasks and Leaderboards" + allow_empty: true + allow_empty_text: true + subsections: null + - name: Languages + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Dataset Structure" + allow_empty: false + allow_empty_text: true + subsections: + - name: "Data Instances" + allow_empty: false + allow_empty_text: true + subsections: null + - name: "Data Fields" + allow_empty: false + allow_empty_text: true + subsections: null + - name: "Data Splits" + allow_empty: false + allow_empty_text: true + subsections: null + - name: "Dataset Creation" + allow_empty: false + allow_empty_text: true + subsections: + - name: "Curation Rationale" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Source Data" + allow_empty: false + allow_empty_text: true + subsections: + - name: "Initial Data Collection and Normalization" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Who are the source language producers?" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Annotations" + allow_empty: false + allow_empty_text: true + subsections: + - name: "Annotation process" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Who are the annotators?" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Personal and Sensitive Information" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Considerations for Using the Data" + allow_empty: true + allow_empty_text: true + subsections: + - name: "Social Impact of Dataset" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Discussion of Biases" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Other Known Limitations" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Additional Information" + allow_empty: true + allow_empty_text: true + subsections: + - name: "Dataset Curators" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Licensing Information" + allow_empty: true + allow_empty_text: true + subsections: null + - name: "Citation Information" + allow_empty: false + allow_empty_text: true + subsections: null + - name: "Contributions" + allow_empty: false + allow_empty_text: false + subsections: null diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/size_categories.json b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/size_categories.json new file mode 100644 index 0000000000000000000000000000000000000000..983ce0c10dbb2e2245f90ae47e9de4c1025d5bb1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/resources/size_categories.json @@ -0,0 +1,14 @@ +[ + "unknown", + "n<1K", + "1K1T" +] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/sharding.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/sharding.py new file mode 100644 index 0000000000000000000000000000000000000000..753bdf60c2a5b0b23f70893de5ba57a51462d126 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/sharding.py @@ -0,0 +1,92 @@ +import numpy as np + + +def _number_of_shards_in_gen_kwargs(gen_kwargs: dict) -> int: + """Return the number of possible shards according to the input gen_kwargs""" + # Having lists of different sizes makes sharding ambigious, raise an error in this case + # until we decide how to define sharding without ambiguity for users + lists_lengths = {key: len(value) for key, value in gen_kwargs.items() if isinstance(value, list)} + if len(set(lists_lengths.values())) > 1: + raise RuntimeError( + "Sharding is ambiguous for this dataset: " + + "we found several data sources lists of different lengths, and we don't know over which list we should parallelize:\n" + + "\n".join(f"\t- key {key} has length {length}" for key, length in lists_lengths.items()) + + "\nTo fix this, check the 'gen_kwargs' and make sure to use lists only for data sources, " + + "and use tuples otherwise. In the end there should only be one single list, or several lists with the same length." + ) + max_length = max(lists_lengths.values(), default=0) + return max(1, max_length) + + +def _distribute_shards(num_shards: int, max_num_jobs: int) -> list[range]: + """ + Get the range of shard indices per job. + If num_shards>> _distribute_shards(2, max_num_jobs=4) + [range(0, 1), range(1, 2)] + >>> _distribute_shards(10, max_num_jobs=3) + [range(0, 4), range(4, 7), range(7, 10)] + ``` + """ + shards_indices_per_group = [] + for group_idx in range(max_num_jobs): + num_shards_to_add = num_shards // max_num_jobs + (group_idx < (num_shards % max_num_jobs)) + if num_shards_to_add == 0: + break + start = shards_indices_per_group[-1].stop if shards_indices_per_group else 0 + shard_indices = range(start, start + num_shards_to_add) + shards_indices_per_group.append(shard_indices) + return shards_indices_per_group + + +def _split_gen_kwargs(gen_kwargs: dict, max_num_jobs: int) -> list[dict]: + """Split the gen_kwargs into `max_num_job` gen_kwargs""" + # Having lists of different sizes makes sharding ambigious, raise an error in this case + num_shards = _number_of_shards_in_gen_kwargs(gen_kwargs) + if num_shards == 1: + return [dict(gen_kwargs)] + else: + shard_indices_per_group = _distribute_shards(num_shards=num_shards, max_num_jobs=max_num_jobs) + return [ + { + key: [value[shard_idx] for shard_idx in shard_indices_per_group[group_idx]] + if isinstance(value, list) + else value + for key, value in gen_kwargs.items() + } + for group_idx in range(len(shard_indices_per_group)) + ] + + +def _merge_gen_kwargs(gen_kwargs_list: list[dict]) -> dict: + return { + key: [value for gen_kwargs in gen_kwargs_list for value in gen_kwargs[key]] + if isinstance(gen_kwargs_list[0][key], list) + else gen_kwargs_list[0][key] + for key in gen_kwargs_list[0] + } + + +def _shuffle_gen_kwargs(rng: np.random.Generator, gen_kwargs: dict) -> dict: + """Return a shuffled copy of the input gen_kwargs""" + # We must shuffle all the lists, and lists of the same size must have the same shuffling. + # This way entangled lists of (shard, shard_metadata) are still in the right order. + + # First, let's generate the shuffled indices per list size + list_sizes = {len(value) for value in gen_kwargs.values() if isinstance(value, list)} + indices_per_size = {} + for size in list_sizes: + indices_per_size[size] = list(range(size)) + rng.shuffle(indices_per_size[size]) + # Now let's copy the gen_kwargs and shuffle the lists based on their sizes + shuffled_kwargs = dict(gen_kwargs) + for key, value in shuffled_kwargs.items(): + if isinstance(value, list): + shuffled_kwargs[key] = [value[i] for i in indices_per_size[len(value)]] + return shuffled_kwargs diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/stratify.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/stratify.py new file mode 100644 index 0000000000000000000000000000000000000000..6dab0469e8168148a81eb2c13f7c103b98d061e7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/stratify.py @@ -0,0 +1,107 @@ +import numpy as np + + +def approximate_mode(class_counts, n_draws, rng): + """Computes approximate mode of multivariate hypergeometric. + This is an approximation to the mode of the multivariate + hypergeometric given by class_counts and n_draws. + It shouldn't be off by more than one. + It is the mostly likely outcome of drawing n_draws many + samples from the population given by class_counts. + Args + ---------- + class_counts : ndarray of int + Population per class. + n_draws : int + Number of draws (samples to draw) from the overall population. + rng : random state + Used to break ties. + Returns + ------- + sampled_classes : ndarray of int + Number of samples drawn from each class. + np.sum(sampled_classes) == n_draws + + """ + # this computes a bad approximation to the mode of the + # multivariate hypergeometric given by class_counts and n_draws + continuous = n_draws * class_counts / class_counts.sum() + # floored means we don't overshoot n_samples, but probably undershoot + floored = np.floor(continuous) + # we add samples according to how much "left over" probability + # they had, until we arrive at n_samples + need_to_add = int(n_draws - floored.sum()) + if need_to_add > 0: + remainder = continuous - floored + values = np.sort(np.unique(remainder))[::-1] + # add according to remainder, but break ties + # randomly to avoid biases + for value in values: + (inds,) = np.where(remainder == value) + # if we need_to_add less than what's in inds + # we draw randomly from them. + # if we need to add more, we add them all and + # go to the next value + add_now = min(len(inds), need_to_add) + inds = rng.choice(inds, size=add_now, replace=False) + floored[inds] += 1 + need_to_add -= add_now + if need_to_add == 0: + break + return floored.astype(np.int64) + + +def stratified_shuffle_split_generate_indices(y, n_train, n_test, rng, n_splits=10): + """ + + Provides train/test indices to split data in train/test sets. + It's reference is taken from StratifiedShuffleSplit implementation + of scikit-learn library. + + Args + ---------- + + n_train : int, + represents the absolute number of train samples. + + n_test : int, + represents the absolute number of test samples. + + random_state : int or RandomState instance, default=None + Controls the randomness of the training and testing indices produced. + Pass an int for reproducible output across multiple function calls. + + n_splits : int, default=10 + Number of re-shuffling & splitting iterations. + """ + classes, y_indices = np.unique(y, return_inverse=True) + n_classes = classes.shape[0] + class_counts = np.bincount(y_indices) + if np.min(class_counts) < 2: + raise ValueError("Minimum class count error") + if n_train < n_classes: + raise ValueError( + "The train_size = %d should be greater or equal to the number of classes = %d" % (n_train, n_classes) + ) + if n_test < n_classes: + raise ValueError( + "The test_size = %d should be greater or equal to the number of classes = %d" % (n_test, n_classes) + ) + class_indices = np.split(np.argsort(y_indices, kind="mergesort"), np.cumsum(class_counts)[:-1]) + for _ in range(n_splits): + n_i = approximate_mode(class_counts, n_train, rng) + class_counts_remaining = class_counts - n_i + t_i = approximate_mode(class_counts_remaining, n_test, rng) + + train = [] + test = [] + + for i in range(n_classes): + permutation = rng.permutation(class_counts[i]) + perm_indices_class_i = class_indices[i].take(permutation, mode="clip") + train.extend(perm_indices_class_i[: n_i[i]]) + test.extend(perm_indices_class_i[n_i[i] : n_i[i] + t_i[i]]) + train = rng.permutation(train) + test = rng.permutation(test) + + yield train, test diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/tf_utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/tf_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..10ae3ef64ae5e14339bf0e855c010253b92a7e02 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/tf_utils.py @@ -0,0 +1,564 @@ +# Copyright 2022 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""TF-specific utils import.""" + +import os +import warnings +from functools import partial +from math import ceil +from uuid import uuid4 + +import numpy as np +import pyarrow as pa +from multiprocess import get_context + + +try: + from multiprocess.shared_memory import SharedMemory +except ImportError: + SharedMemory = None # Version checks should prevent this being called on older Python versions + +from .. import config + + +def minimal_tf_collate_fn(features): + if isinstance(features, dict): # case batch_size=None: nothing to collate + return features + elif config.TF_AVAILABLE: + import tensorflow as tf + else: + raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.") + + first = features[0] + batch = {} + for k, v in first.items(): + if isinstance(v, np.ndarray): + batch[k] = np.stack([f[k] for f in features]) + elif isinstance(v, tf.Tensor): + batch[k] = tf.stack([f[k] for f in features]) + else: + batch[k] = np.array([f[k] for f in features]) + return batch + + +def minimal_tf_collate_fn_with_renaming(features): + batch = minimal_tf_collate_fn(features) + if "label" in batch: + batch["labels"] = batch["label"] + del batch["label"] + return batch + + +def is_numeric_pa_type(pa_type): + if pa.types.is_list(pa_type): + return is_numeric_pa_type(pa_type.value_type) + return pa.types.is_integer(pa_type) or pa.types.is_floating(pa_type) or pa.types.is_decimal(pa_type) + + +def np_get_batch( + indices, dataset, cols_to_retain, collate_fn, collate_fn_args, columns_to_np_types, return_dict=False +): + if not isinstance(indices, np.ndarray): + indices = indices.numpy() + + is_batched = True + # Optimization - if we're loading a sequential batch, do it with slicing instead of a list of indices + if isinstance(indices, np.integer): + batch = dataset[indices.item()] + is_batched = False + elif np.all(np.diff(indices) == 1): + batch = dataset[indices[0] : indices[-1] + 1] + elif isinstance(indices, np.ndarray): + batch = dataset[indices] + else: + raise RuntimeError(f"Unexpected type for indices: {type(indices)}") + + if cols_to_retain is not None: + batch = { + key: value + for key, value in batch.items() + if key in cols_to_retain or key in ("label", "label_ids", "labels") + } + + if is_batched: + actual_size = len(list(batch.values())[0]) # Get the length of one of the arrays, assume all same + # Our collators expect a list of dicts, not a dict of lists/arrays, so we invert + batch = [{key: value[i] for key, value in batch.items()} for i in range(actual_size)] + batch = collate_fn(batch, **collate_fn_args) + + if return_dict: + out_batch = {} + for col, cast_dtype in columns_to_np_types.items(): + # In case the collate_fn returns something strange + array = np.array(batch[col]) + array = array.astype(cast_dtype) + out_batch[col] = array + else: + out_batch = [] + for col, cast_dtype in columns_to_np_types.items(): + # In case the collate_fn returns something strange + array = np.array(batch[col]) + array = array.astype(cast_dtype) + out_batch.append(array) + return out_batch + + +def dataset_to_tf( + dataset, + cols_to_retain, + collate_fn, + collate_fn_args, + columns_to_np_types, + output_signature, + shuffle, + batch_size, + drop_remainder, +): + """Create a tf.data.Dataset from the underlying Dataset. This is a single-process method - the multiprocess + equivalent is multiprocess_dataset_to_tf. + + Args: + dataset (`Dataset`): Dataset to wrap with tf.data.Dataset. + cols_to_retain (`List[str]`): Dataset column(s) to load in the + tf.data.Dataset. It is acceptable to include column names that are created by the `collate_fn` and + that do not exist in the original dataset. + collate_fn(`Callable`): A function or callable object (such as a `DataCollator`) that will collate + lists of samples into a batch. + collate_fn_args (`Dict`): A `dict` of keyword arguments to be passed to the + `collate_fn`. Can be empty. + columns_to_np_types (`Dict[str, np.dtype]`): A `dict` mapping column names to numpy dtypes. + output_signature (`Dict[str, tf.TensorSpec]`): A `dict` mapping column names to + `tf.TensorSpec` objects. + shuffle(`bool`): Shuffle the dataset order when loading. Recommended True for training, False for + validation/evaluation. + batch_size (`int`, default `None`): Size of batches to load from the dataset. Defaults to `None`, which implies that + the dataset won't be batched, but the returned dataset can be batched later with `tf_dataset.batch(batch_size)`. + drop_remainder(`bool`, default `None`): Drop the last incomplete batch when loading. If not provided, + defaults to the same setting as shuffle. + + Returns: + `tf.data.Dataset` + """ + if config.TF_AVAILABLE: + import tensorflow as tf + else: + raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.") + + # TODO Matt: When our minimum Python version is 3.8 or higher, we can delete all of this and move everything + # to the NumPy multiprocessing path. + if hasattr(tf, "random_index_shuffle"): + random_index_shuffle = tf.random_index_shuffle + elif hasattr(tf.random.experimental, "index_shuffle"): + random_index_shuffle = tf.random.experimental.index_shuffle + else: + if len(dataset) > 10_000_000: + warnings.warn( + "to_tf_dataset() can be memory-inefficient on versions of TensorFlow older than 2.9. " + "If you are iterating over a dataset with a very large number of samples, consider " + "upgrading to TF >= 2.9." + ) + random_index_shuffle = None + + getter_fn = partial( + np_get_batch, + dataset=dataset, + cols_to_retain=cols_to_retain, + collate_fn=collate_fn, + collate_fn_args=collate_fn_args, + columns_to_np_types=columns_to_np_types, + return_dict=False, + ) + + # This works because dictionaries always output in the same order + tout = [tf.dtypes.as_dtype(dtype) for dtype in columns_to_np_types.values()] + + @tf.function(input_signature=[tf.TensorSpec(None, tf.int64)]) + def fetch_function(indices): + output = tf.py_function( + getter_fn, + inp=[indices], + Tout=tout, + ) + return {key: output[i] for i, key in enumerate(columns_to_np_types.keys())} + + tf_dataset = tf.data.Dataset.range(len(dataset)) + + if shuffle and random_index_shuffle is not None: + base_seed = tf.fill((3,), value=tf.cast(-1, dtype=tf.int64)) + + def scan_random_index(state, index): + if tf.reduce_all(state == -1): + # This generates a new random seed once per epoch only, + # to ensure that we iterate over each sample exactly once per epoch + state = tf.random.uniform(shape=(3,), maxval=2**62, dtype=tf.int64) + shuffled_index = random_index_shuffle(index=index, seed=state, max_index=len(dataset) - 1) + return state, shuffled_index + + tf_dataset = tf_dataset.scan(base_seed, scan_random_index) + elif shuffle: + tf_dataset = tf_dataset.shuffle(tf_dataset.cardinality()) + + if batch_size is not None: + tf_dataset = tf_dataset.batch(batch_size, drop_remainder=drop_remainder) + + tf_dataset = tf_dataset.map(fetch_function) + + if batch_size is not None: + + def ensure_shapes(input_dict): + return {key: tf.ensure_shape(val, output_signature[key].shape) for key, val in input_dict.items()} + + else: + # Ensure shape but remove batch dimension of output_signature[key].shape + def ensure_shapes(input_dict): + return {key: tf.ensure_shape(val, output_signature[key].shape[1:]) for key, val in input_dict.items()} + + return tf_dataset.map(ensure_shapes) + + +class SharedMemoryContext: + # This is a context manager for creating shared memory that ensures cleanup happens even if a process is interrupted + # The process that creates shared memory is always the one responsible for unlinking it in the end + def __init__(self): + self.created_shms = [] + self.opened_shms = [] + + def get_shm(self, name, size, create): + shm = SharedMemory(size=int(size), name=name, create=create) + if create: + # We only unlink the ones we created in this context + self.created_shms.append(shm) + else: + # If we didn't create it, we only close it when done, we don't unlink it + self.opened_shms.append(shm) + return shm + + def get_array(self, name, shape, dtype, create): + shm = self.get_shm(name=name, size=np.prod(shape) * np.dtype(dtype).itemsize, create=create) + return np.ndarray(shape, dtype=dtype, buffer=shm.buf) + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_value, traceback): + for shm in self.created_shms: + shm.close() + shm.unlink() + for shm in self.opened_shms: + shm.close() + + +class NumpyMultiprocessingGenerator: + def __init__( + self, + dataset, + cols_to_retain, + collate_fn, + collate_fn_args, + columns_to_np_types, + output_signature, + shuffle, + batch_size, + drop_remainder, + num_workers, + ): + self.dataset = dataset + self.cols_to_retain = cols_to_retain + self.collate_fn = collate_fn + self.collate_fn_args = collate_fn_args + self.string_columns = [col for col, dtype in columns_to_np_types.items() if dtype is np.str_] + # Strings will be converted to arrays of single unicode chars, so that we can have a constant itemsize + self.columns_to_np_types = { + col: dtype if col not in self.string_columns else np.dtype("U1") + for col, dtype in columns_to_np_types.items() + } + self.output_signature = output_signature + self.shuffle = shuffle + self.batch_size = batch_size + self.drop_remainder = drop_remainder + self.num_workers = num_workers + # Because strings are converted to characters, we need to add one extra dimension to the shape + self.columns_to_ranks = { + col: int(spec.shape.rank) if col not in self.string_columns else int(spec.shape.rank) + 1 + for col, spec in output_signature.items() + } + + def __iter__(self): + # Make sure we only spawn workers if they have work to do + num_workers = min(self.num_workers, int(ceil(len(self.dataset) / self.batch_size))) + # Do the shuffling in iter so that it's done at the start of each epoch + per_worker_batches, final_batch, final_batch_worker = self.distribute_batches( + self.dataset, self.batch_size, self.drop_remainder, num_workers, self.shuffle + ) + ctx = get_context("spawn") + names = [] + shape_arrays = [] + workers = [] + array_ready_events = [ctx.Event() for _ in range(num_workers)] + array_loaded_events = [ctx.Event() for _ in range(num_workers)] + + base_args = { + "dataset": self.dataset, + "cols_to_retain": self.cols_to_retain, + "collate_fn": self.collate_fn, + "collate_fn_args": self.collate_fn_args, + "columns_to_np_types": self.columns_to_np_types, + "columns_to_ranks": self.columns_to_ranks, + "string_columns": self.string_columns, + } + with SharedMemoryContext() as shm_ctx: + for i in range(num_workers): + worker_random_id = str(uuid4()) + worker_name = f"dw_{i}_{worker_random_id}"[:10] + names.append(worker_name) + + worker_shape_arrays = { + col: shm_ctx.get_array(f"{worker_name}_{col}_shape", shape=(rank,), dtype=np.int64, create=True) + for col, rank in self.columns_to_ranks.items() + } + shape_arrays.append(worker_shape_arrays) + + worker_indices = per_worker_batches[i] + if i == final_batch_worker and final_batch is not None: + final_batch_arg = final_batch + else: + final_batch_arg = None + worker_kwargs = { + "worker_name": worker_name, + "indices": worker_indices, + "extra_batch": final_batch_arg, + "array_ready_event": array_ready_events[i], + "array_loaded_event": array_loaded_events[i], + **base_args, + } + worker = ctx.Process(target=self.worker_loop, kwargs=worker_kwargs, daemon=True) + worker.start() + workers.append(worker) + + end_signal_received = False + while not end_signal_received: + for i in range(num_workers): + if not array_ready_events[i].wait(timeout=60): + raise TimeoutError("Data loading worker timed out!") + array_ready_events[i].clear() + array_shapes = shape_arrays[i] + if any(np.any(shape < 0) for shape in array_shapes.values()): + # Child processes send negative array shapes to indicate + # that no more data is going to be sent + end_signal_received = True + break + # Matt: Because array shapes are variable we recreate the shared memory each iteration. + # I suspect repeatedly opening lots of shared memory is the bottleneck for the parent process. + # A future optimization, at the cost of some code complexity, could be to reuse shared memory + # between iterations, but this would require knowing in advance the maximum size, or having + # a system to only create a new memory block when a new maximum size is seen. + # Another potential optimization would be to figure out which memory copies are necessary, + # or whether we can yield objects straight out of shared memory. + with SharedMemoryContext() as batch_shm_ctx: + # This memory context only lasts long enough to copy everything out of the batch + arrays = { + col: batch_shm_ctx.get_array( + f"{names[i]}_{col}", + shape=shape, + dtype=self.columns_to_np_types[col], + create=False, + ) + for col, shape in array_shapes.items() + } + # Copy everything out of shm because the memory + # will be unlinked by the child process at some point + arrays = {col: np.copy(arr) for col, arr in arrays.items()} + # Now we convert any unicode char arrays to strings + for string_col in self.string_columns: + arrays[string_col] = ( + arrays[string_col].view(f"U{arrays[string_col].shape[-1]}").squeeze(-1) + ) + yield arrays + array_loaded_events[i].set() + # Now we just do some cleanup + # Shared memory is cleaned up by the context manager, so we just make sure workers finish + for worker in workers: + worker.join() + + def __call__(self): + return self + + @staticmethod + def worker_loop( + dataset, + cols_to_retain, + collate_fn, + collate_fn_args, + columns_to_np_types, + columns_to_ranks, + string_columns, + indices, + extra_batch, + worker_name, + array_ready_event, + array_loaded_event, + ): + os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" + + if config.TF_AVAILABLE: + import tensorflow as tf + else: + raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.") + + tf.config.set_visible_devices([], "GPU") # Make sure workers don't try to allocate GPU memory + + def send_batch_to_parent(indices): + batch = np_get_batch( + indices=indices, + dataset=dataset, + cols_to_retain=cols_to_retain, + collate_fn=collate_fn, + collate_fn_args=collate_fn_args, + columns_to_np_types=columns_to_np_types, + return_dict=True, + ) + + # Now begins the fun part where we start shovelling shared memory at the parent process + out_arrays = {} + with SharedMemoryContext() as batch_shm_ctx: + # The batch shared memory context exists only as long as it takes for the parent process + # to read everything, after which it cleans everything up again + for col, cast_dtype in columns_to_np_types.items(): + # Everything has to be np.array for this to work, even if the collate_fn is giving us tf.Tensor + array = batch[col] + if col in string_columns: + # We can't send unicode arrays over shared memory, so we convert to single chars ("U1") + # which have a fixed width of 4 bytes. The parent process will convert these back to strings. + array = array.view("U1").reshape(array.shape + (-1,)) + shape_arrays[col][:] = array.shape + out_arrays[col] = batch_shm_ctx.get_array( + f"{worker_name}_{col}", shape=array.shape, dtype=cast_dtype, create=True + ) + out_arrays[col][:] = array + + array_ready_event.set() + array_loaded_event.wait() + array_loaded_event.clear() + + with SharedMemoryContext() as shm_ctx: + shape_arrays = { + col: shm_ctx.get_array(f"{worker_name}_{col}_shape", shape=(rank,), dtype=np.int64, create=False) + for col, rank in columns_to_ranks.items() + } + + for batch in indices: + send_batch_to_parent(batch) + if extra_batch is not None: + send_batch_to_parent(extra_batch) + # Now we send a batsignal to the parent process that we're done + for col, array in shape_arrays.items(): + array[:] = -1 + array_ready_event.set() + + @staticmethod + def distribute_batches(dataset, batch_size, drop_remainder, num_workers, shuffle): + indices = np.arange(len(dataset)) + if shuffle: + np.random.shuffle(indices) + num_samples = len(indices) + # We distribute the batches so that reading from the workers in round-robin order yields the exact + # order specified in indices. This is only important when shuffle is False, but we do it regardless. + incomplete_batch_cutoff = num_samples - (num_samples % batch_size) + indices, last_incomplete_batch = np.split(indices, [incomplete_batch_cutoff]) + if drop_remainder or len(last_incomplete_batch) == 0: + last_incomplete_batch = None + + indices = indices.reshape(-1, batch_size) + num_batches = len(indices) + final_batches_cutoff = num_batches - (num_batches % num_workers) + indices, final_batches = np.split(indices, [final_batches_cutoff]) + indices = indices.reshape(-1, num_workers, batch_size) + + per_worker_indices = np.split(indices, indices.shape[1], axis=1) + per_worker_indices = [np.squeeze(worker_indices, 1) for worker_indices in per_worker_indices] + # Distribute the final batches to the first workers + for i in range(len(final_batches)): + # len(final_batches) can be zero, and is always less than num_workers + per_worker_indices[i] = np.concatenate([per_worker_indices[i], final_batches[i].reshape(1, -1)], axis=0) + # Add the last incomplete batch to the next worker, which might be the first worker + if last_incomplete_batch is not None: + incomplete_batch_worker_idx = len(final_batches) + else: + incomplete_batch_worker_idx = None + return per_worker_indices, last_incomplete_batch, incomplete_batch_worker_idx + + +def multiprocess_dataset_to_tf( + dataset, + cols_to_retain, + collate_fn, + collate_fn_args, + columns_to_np_types, + output_signature, + shuffle, + batch_size, + drop_remainder, + num_workers, +): + """Create a tf.data.Dataset from the underlying Dataset. This is a multi-process method - the single-process + equivalent is dataset_to_tf. + + Args: + dataset (`Dataset`): Dataset to wrap with tf.data.Dataset. + cols_to_retain (`List[str]`): Dataset column(s) to load in the + tf.data.Dataset. It is acceptable to include column names that are created by the `collate_fn` and + that do not exist in the original dataset. + collate_fn(`Callable`): A function or callable object (such as a `DataCollator`) that will collate + lists of samples into a batch. + collate_fn_args (`Dict`): A `dict` of keyword arguments to be passed to the + `collate_fn`. Can be empty. + columns_to_np_types (`Dict[str, np.dtype]`): A `dict` mapping column names to numpy dtypes. + output_signature (`Dict[str, tf.TensorSpec]`): A `dict` mapping column names to + `tf.TensorSpec` objects. + shuffle(`bool`): Shuffle the dataset order when loading. Recommended True for training, False for + validation/evaluation. + batch_size (`int`, default `None`): Size of batches to load from the dataset. Defaults to `None`, which implies that + the dataset won't be batched, but the returned dataset can be batched later with `tf_dataset.batch(batch_size)`. + drop_remainder(`bool`, default `None`): Drop the last incomplete batch when loading. If not provided, + defaults to the same setting as shuffle. + num_workers (`int`): Number of workers to use for loading the dataset. Should be >= 1. + + Returns: + `tf.data.Dataset` + """ + if config.TF_AVAILABLE: + import tensorflow as tf + else: + raise ImportError("Called a Tensorflow-specific function but Tensorflow is not installed.") + + data_generator = NumpyMultiprocessingGenerator( + dataset=dataset, + cols_to_retain=cols_to_retain, + collate_fn=collate_fn, + collate_fn_args=collate_fn_args, + columns_to_np_types=columns_to_np_types, + output_signature=output_signature, + shuffle=shuffle, + batch_size=batch_size, + drop_remainder=drop_remainder, + num_workers=num_workers, + ) + + tf_dataset = tf.data.Dataset.from_generator(data_generator, output_signature=output_signature) + if drop_remainder: + dataset_length = int(len(dataset) // batch_size) + else: + dataset_length = int(ceil(len(dataset) / batch_size)) + return tf_dataset.apply(tf.data.experimental.assert_cardinality(dataset_length)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/tqdm.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/tqdm.py new file mode 100644 index 0000000000000000000000000000000000000000..e28a8ff7ccfda7d4fd9a6195636d181f285ceb65 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/tqdm.py @@ -0,0 +1,131 @@ +"""Utility helpers to handle progress bars in `datasets`. + +Example: + 1. Use `datasets.utils.tqdm` as you would use `tqdm.tqdm` or `tqdm.auto.tqdm`. + 2. To disable progress bars, either use `disable_progress_bars()` helper or set the + environment variable `HF_DATASETS_DISABLE_PROGRESS_BARS` to 1. + 3. To re-enable progress bars, use `enable_progress_bars()`. + 4. To check whether progress bars are disabled, use `are_progress_bars_disabled()`. + +NOTE: Environment variable `HF_DATASETS_DISABLE_PROGRESS_BARS` has the priority. + +Example: + ```py + from datasets.utils import ( + are_progress_bars_disabled, + disable_progress_bars, + enable_progress_bars, + tqdm, + ) + + # Disable progress bars globally + disable_progress_bars() + + # Use as normal `tqdm` + for _ in tqdm(range(5)): + do_something() + + # Still not showing progress bars, as `disable=False` is overwritten to `True`. + for _ in tqdm(range(5), disable=False): + do_something() + + are_progress_bars_disabled() # True + + # Re-enable progress bars globally + enable_progress_bars() + + # Progress bar will be shown ! + for _ in tqdm(range(5)): + do_something() + ``` +""" + +import warnings + +from tqdm.auto import tqdm as old_tqdm + +from ..config import HF_DATASETS_DISABLE_PROGRESS_BARS + + +# `HF_DATASETS_DISABLE_PROGRESS_BARS` is `Optional[bool]` while `_hf_datasets_progress_bars_disabled` +# is a `bool`. If `HF_DATASETS_DISABLE_PROGRESS_BARS` is set to True or False, it has priority. +# If `HF_DATASETS_DISABLE_PROGRESS_BARS` is None, it means the user have not set the +# environment variable and is free to enable/disable progress bars programmatically. +# TL;DR: env variable has priority over code. +# +# By default, progress bars are enabled. +_hf_datasets_progress_bars_disabled: bool = HF_DATASETS_DISABLE_PROGRESS_BARS or False + + +def disable_progress_bars() -> None: + """ + Disable globally progress bars used in `datasets` except if `HF_DATASETS_DISABLE_PROGRESS_BAR` environment + variable has been set. + + Use [`~utils.enable_progress_bars`] to re-enable them. + """ + if HF_DATASETS_DISABLE_PROGRESS_BARS is False: + warnings.warn( + "Cannot disable progress bars: environment variable `HF_DATASETS_DISABLE_PROGRESS_BAR=0` is set and has" + " priority." + ) + return + global _hf_datasets_progress_bars_disabled + _hf_datasets_progress_bars_disabled = True + + +def enable_progress_bars() -> None: + """ + Enable globally progress bars used in `datasets` except if `HF_DATASETS_DISABLE_PROGRESS_BAR` environment + variable has been set. + + Use [`~utils.disable_progress_bars`] to disable them. + """ + if HF_DATASETS_DISABLE_PROGRESS_BARS is True: + warnings.warn( + "Cannot enable progress bars: environment variable `HF_DATASETS_DISABLE_PROGRESS_BAR=1` is set and has" + " priority." + ) + return + global _hf_datasets_progress_bars_disabled + _hf_datasets_progress_bars_disabled = False + + +def are_progress_bars_disabled() -> bool: + """Return whether progress bars are globally disabled or not. + + Progress bars used in `datasets` can be enable or disabled globally using [`~utils.enable_progress_bars`] + and [`~utils.disable_progress_bars`] or by setting `HF_DATASETS_DISABLE_PROGRESS_BAR` as environment variable. + """ + global _hf_datasets_progress_bars_disabled + return _hf_datasets_progress_bars_disabled + + +class tqdm(old_tqdm): + """ + Class to override `disable` argument in case progress bars are globally disabled. + + Taken from https://github.com/tqdm/tqdm/issues/619#issuecomment-619639324. + """ + + def __init__(self, *args, **kwargs): + if are_progress_bars_disabled(): + kwargs["disable"] = True + super().__init__(*args, **kwargs) + + def __delattr__(self, attr: str) -> None: + """Fix for https://github.com/huggingface/datasets/issues/6066""" + try: + super().__delattr__(attr) + except AttributeError: + if attr != "_lock": + raise + + +# backward compatibility +enable_progress_bar = enable_progress_bars +disable_progress_bar = disable_progress_bars + + +def is_progress_bar_enabled(): + return not are_progress_bars_disabled() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/track.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/track.py new file mode 100644 index 0000000000000000000000000000000000000000..ffd3434af790de63fdd046ad8f93c3067c6e6da8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/track.py @@ -0,0 +1,61 @@ +from collections.abc import Iterable, Iterator + + +class tracked_str(str): + origins = {} + + def set_origin(self, origin: str): + if super().__repr__() not in self.origins: + self.origins[super().__repr__()] = origin + + def get_origin(self): + return self.origins.get(super().__repr__(), str(self)) + + def __repr__(self) -> str: + if super().__repr__() not in self.origins or self.origins[super().__repr__()] == self: + return super().__repr__() + else: + return f"{str(self)} (origin={self.origins[super().__repr__()]})" + + +class tracked_list(list): + def __init__(self, *args, **kwargs) -> None: + super().__init__(*args, **kwargs) + self.last_item = None + + def __iter__(self) -> Iterator: + for x in super().__iter__(): + self.last_item = x + yield x + self.last_item = None + + def __repr__(self) -> str: + if self.last_item is None: + return super().__repr__() + else: + return f"{self.__class__.__name__}(current={self.last_item})" + + +class TrackedIterableFromGenerator(Iterable): + """Utility class to create an iterable from a generator function, in order to reset the generator when needed.""" + + def __init__(self, generator, *args): + super().__init__() + self.generator = generator + self.args = args + self.last_item = None + + def __iter__(self): + for x in self.generator(*self.args): + self.last_item = x + yield x + self.last_item = None + + def __repr__(self) -> str: + if self.last_item is None: + return super().__repr__() + else: + return f"{self.__class__.__name__}(current={self.last_item})" + + def __reduce__(self): + return (self.__class__, (self.generator, *self.args)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/typing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/typing.py new file mode 100644 index 0000000000000000000000000000000000000000..4736d74cbb575bd0e12f625c520202a8c74b3ddc --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/typing.py @@ -0,0 +1,9 @@ +import os +from typing import TypeVar, Union + + +T = TypeVar("T") + +ListLike = Union[list[T], tuple[T, ...]] +NestedDataStructureLike = Union[T, list[T], dict[str, T]] +PathLike = Union[str, bytes, os.PathLike] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/version.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/version.py new file mode 100644 index 0000000000000000000000000000000000000000..75cf4c39d5f9b916ade8f8d88a0f0ca9e5769217 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/datasets/utils/version.py @@ -0,0 +1,106 @@ +# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Lint as: python3 +"""Version utils.""" + +import dataclasses +import re +from dataclasses import dataclass +from functools import total_ordering +from typing import Optional, Union + + +_VERSION_REG = re.compile(r"^(?P\d+)" r"\.(?P\d+)" r"\.(?P\d+)$") + + +@total_ordering +@dataclass +class Version: + """Dataset version `MAJOR.MINOR.PATCH`. + + Args: + version_str (`str`): + The dataset version. + description (`str`): + A description of what is new in this version. + major (`str`): + minor (`str`): + patch (`str`): + + Example: + + ```py + >>> VERSION = datasets.Version("1.0.0") + ``` + """ + + version_str: str + description: Optional[str] = None + major: Optional[Union[str, int]] = None + minor: Optional[Union[str, int]] = None + patch: Optional[Union[str, int]] = None + + def __post_init__(self): + self.major, self.minor, self.patch = _str_to_version_tuple(self.version_str) + + def __repr__(self): + return f"{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}" + + @property + def tuple(self): + return self.major, self.minor, self.patch + + def _validate_operand(self, other): + if isinstance(other, str): + return Version(other) + elif isinstance(other, Version): + return other + raise TypeError(f"{other} (type {type(other)}) cannot be compared to version.") + + def __eq__(self, other): + try: + other = self._validate_operand(other) + except (TypeError, ValueError): + return False + else: + return self.tuple == other.tuple + + def __lt__(self, other): + other = self._validate_operand(other) + return self.tuple < other.tuple + + def __hash__(self): + return hash(_version_tuple_to_str(self.tuple)) + + @classmethod + def from_dict(cls, dic): + field_names = {f.name for f in dataclasses.fields(cls)} + return cls(**{k: v for k, v in dic.items() if k in field_names}) + + def _to_yaml_string(self) -> str: + return self.version_str + + +def _str_to_version_tuple(version_str): + """Return the tuple (major, minor, patch) version extracted from the str.""" + res = _VERSION_REG.match(version_str) + if not res: + raise ValueError(f"Invalid version '{version_str}'. Format should be x.y.z with {{x,y,z}} being digits.") + return tuple(int(v) for v in [res.group("major"), res.group("minor"), res.group("patch")]) + + +def _version_tuple_to_str(version_tuple): + """Return the str version from the version tuple (major, minor, patch).""" + return ".".join(str(v) for v in version_tuple) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..a2c19c06fe14476a9bfa4f1f60de7a997a41191c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/__init__.py @@ -0,0 +1,24 @@ +# -*- coding: utf-8 -*- +import sys + +try: + from ._version import version as __version__ +except ImportError: + __version__ = 'unknown' + +__all__ = ['easter', 'parser', 'relativedelta', 'rrule', 'tz', + 'utils', 'zoneinfo'] + +def __getattr__(name): + import importlib + + if name in __all__: + return importlib.import_module("." + name, __name__) + raise AttributeError( + "module {!r} has not attribute {!r}".format(__name__, name) + ) + + +def __dir__(): + # __dir__ should include all the lazy-importable modules as well. + return [x for x in globals() if x not in sys.modules] + __all__ diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/_common.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/_common.py new file mode 100644 index 0000000000000000000000000000000000000000..4eb2659bd2986125fcfb4afea5bae9efc2dcd1a0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/_common.py @@ -0,0 +1,43 @@ +""" +Common code used in multiple modules. +""" + + +class weekday(object): + __slots__ = ["weekday", "n"] + + def __init__(self, weekday, n=None): + self.weekday = weekday + self.n = n + + def __call__(self, n): + if n == self.n: + return self + else: + return self.__class__(self.weekday, n) + + def __eq__(self, other): + try: + if self.weekday != other.weekday or self.n != other.n: + return False + except AttributeError: + return False + return True + + def __hash__(self): + return hash(( + self.weekday, + self.n, + )) + + def __ne__(self, other): + return not (self == other) + + def __repr__(self): + s = ("MO", "TU", "WE", "TH", "FR", "SA", "SU")[self.weekday] + if not self.n: + return s + else: + return "%s(%+d)" % (s, self.n) + +# vim:ts=4:sw=4:et diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/_version.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/_version.py new file mode 100644 index 0000000000000000000000000000000000000000..ddda98098527a73348e694c2edb691fd625475fc --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/_version.py @@ -0,0 +1,4 @@ +# file generated by setuptools_scm +# don't change, don't track in version control +__version__ = version = '2.9.0.post0' +__version_tuple__ = version_tuple = (2, 9, 0) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/easter.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/easter.py new file mode 100644 index 0000000000000000000000000000000000000000..f74d1f7442473997245ac683b8a269a3574d1ba4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/easter.py @@ -0,0 +1,89 @@ +# -*- coding: utf-8 -*- +""" +This module offers a generic Easter computing method for any given year, using +Western, Orthodox or Julian algorithms. +""" + +import datetime + +__all__ = ["easter", "EASTER_JULIAN", "EASTER_ORTHODOX", "EASTER_WESTERN"] + +EASTER_JULIAN = 1 +EASTER_ORTHODOX = 2 +EASTER_WESTERN = 3 + + +def easter(year, method=EASTER_WESTERN): + """ + This method was ported from the work done by GM Arts, + on top of the algorithm by Claus Tondering, which was + based in part on the algorithm of Ouding (1940), as + quoted in "Explanatory Supplement to the Astronomical + Almanac", P. Kenneth Seidelmann, editor. + + This algorithm implements three different Easter + calculation methods: + + 1. Original calculation in Julian calendar, valid in + dates after 326 AD + 2. Original method, with date converted to Gregorian + calendar, valid in years 1583 to 4099 + 3. Revised method, in Gregorian calendar, valid in + years 1583 to 4099 as well + + These methods are represented by the constants: + + * ``EASTER_JULIAN = 1`` + * ``EASTER_ORTHODOX = 2`` + * ``EASTER_WESTERN = 3`` + + The default method is method 3. + + More about the algorithm may be found at: + + `GM Arts: Easter Algorithms `_ + + and + + `The Calendar FAQ: Easter `_ + + """ + + if not (1 <= method <= 3): + raise ValueError("invalid method") + + # g - Golden year - 1 + # c - Century + # h - (23 - Epact) mod 30 + # i - Number of days from March 21 to Paschal Full Moon + # j - Weekday for PFM (0=Sunday, etc) + # p - Number of days from March 21 to Sunday on or before PFM + # (-6 to 28 methods 1 & 3, to 56 for method 2) + # e - Extra days to add for method 2 (converting Julian + # date to Gregorian date) + + y = year + g = y % 19 + e = 0 + if method < 3: + # Old method + i = (19*g + 15) % 30 + j = (y + y//4 + i) % 7 + if method == 2: + # Extra dates to convert Julian to Gregorian date + e = 10 + if y > 1600: + e = e + y//100 - 16 - (y//100 - 16)//4 + else: + # New method + c = y//100 + h = (c - c//4 - (8*c + 13)//25 + 19*g + 15) % 30 + i = h - (h//28)*(1 - (h//28)*(29//(h + 1))*((21 - g)//11)) + j = (y + y//4 + i + 2 - c + c//4) % 7 + + # p can be from -6 to 56 corresponding to dates 22 March to 23 May + # (later dates apply to method 2, although 23 May never actually occurs) + p = i - j + e + d = 1 + (p + 27 + (p + 6)//40) % 31 + m = 3 + (p + 26)//30 + return datetime.date(int(y), int(m), int(d)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/parser/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/parser/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..d174b0e4dcc472999b75e55ebb88af320ae38081 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/parser/__init__.py @@ -0,0 +1,61 @@ +# -*- coding: utf-8 -*- +from ._parser import parse, parser, parserinfo, ParserError +from ._parser import DEFAULTPARSER, DEFAULTTZPARSER +from ._parser import UnknownTimezoneWarning + +from ._parser import __doc__ + +from .isoparser import isoparser, isoparse + +__all__ = ['parse', 'parser', 'parserinfo', + 'isoparse', 'isoparser', + 'ParserError', + 'UnknownTimezoneWarning'] + + +### +# Deprecate portions of the private interface so that downstream code that +# is improperly relying on it is given *some* notice. + + +def __deprecated_private_func(f): + from functools import wraps + import warnings + + msg = ('{name} is a private function and may break without warning, ' + 'it will be moved and or renamed in future versions.') + msg = msg.format(name=f.__name__) + + @wraps(f) + def deprecated_func(*args, **kwargs): + warnings.warn(msg, DeprecationWarning) + return f(*args, **kwargs) + + return deprecated_func + +def __deprecate_private_class(c): + import warnings + + msg = ('{name} is a private class and may break without warning, ' + 'it will be moved and or renamed in future versions.') + msg = msg.format(name=c.__name__) + + class private_class(c): + __doc__ = c.__doc__ + + def __init__(self, *args, **kwargs): + warnings.warn(msg, DeprecationWarning) + super(private_class, self).__init__(*args, **kwargs) + + private_class.__name__ = c.__name__ + + return private_class + + +from ._parser import _timelex, _resultbase +from ._parser import _tzparser, _parsetz + +_timelex = __deprecate_private_class(_timelex) +_tzparser = __deprecate_private_class(_tzparser) +_resultbase = __deprecate_private_class(_resultbase) +_parsetz = __deprecated_private_func(_parsetz) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/parser/_parser.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/parser/_parser.py new file mode 100644 index 0000000000000000000000000000000000000000..37d1663b2f72447800d9a553929e3de932244289 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/parser/_parser.py @@ -0,0 +1,1613 @@ +# -*- coding: utf-8 -*- +""" +This module offers a generic date/time string parser which is able to parse +most known formats to represent a date and/or time. + +This module attempts to be forgiving with regards to unlikely input formats, +returning a datetime object even for dates which are ambiguous. If an element +of a date/time stamp is omitted, the following rules are applied: + +- If AM or PM is left unspecified, a 24-hour clock is assumed, however, an hour + on a 12-hour clock (``0 <= hour <= 12``) *must* be specified if AM or PM is + specified. +- If a time zone is omitted, a timezone-naive datetime is returned. + +If any other elements are missing, they are taken from the +:class:`datetime.datetime` object passed to the parameter ``default``. If this +results in a day number exceeding the valid number of days per month, the +value falls back to the end of the month. + +Additional resources about date/time string formats can be found below: + +- `A summary of the international standard date and time notation + `_ +- `W3C Date and Time Formats `_ +- `Time Formats (Planetary Rings Node) `_ +- `CPAN ParseDate module + `_ +- `Java SimpleDateFormat Class + `_ +""" +from __future__ import unicode_literals + +import datetime +import re +import string +import time +import warnings + +from calendar import monthrange +from io import StringIO + +import six +from six import integer_types, text_type + +from decimal import Decimal + +from warnings import warn + +from .. import relativedelta +from .. import tz + +__all__ = ["parse", "parserinfo", "ParserError"] + + +# TODO: pandas.core.tools.datetimes imports this explicitly. Might be worth +# making public and/or figuring out if there is something we can +# take off their plate. +class _timelex(object): + # Fractional seconds are sometimes split by a comma + _split_decimal = re.compile("([.,])") + + def __init__(self, instream): + if isinstance(instream, (bytes, bytearray)): + instream = instream.decode() + + if isinstance(instream, text_type): + instream = StringIO(instream) + elif getattr(instream, 'read', None) is None: + raise TypeError('Parser must be a string or character stream, not ' + '{itype}'.format(itype=instream.__class__.__name__)) + + self.instream = instream + self.charstack = [] + self.tokenstack = [] + self.eof = False + + def get_token(self): + """ + This function breaks the time string into lexical units (tokens), which + can be parsed by the parser. Lexical units are demarcated by changes in + the character set, so any continuous string of letters is considered + one unit, any continuous string of numbers is considered one unit. + + The main complication arises from the fact that dots ('.') can be used + both as separators (e.g. "Sep.20.2009") or decimal points (e.g. + "4:30:21.447"). As such, it is necessary to read the full context of + any dot-separated strings before breaking it into tokens; as such, this + function maintains a "token stack", for when the ambiguous context + demands that multiple tokens be parsed at once. + """ + if self.tokenstack: + return self.tokenstack.pop(0) + + seenletters = False + token = None + state = None + + while not self.eof: + # We only realize that we've reached the end of a token when we + # find a character that's not part of the current token - since + # that character may be part of the next token, it's stored in the + # charstack. + if self.charstack: + nextchar = self.charstack.pop(0) + else: + nextchar = self.instream.read(1) + while nextchar == '\x00': + nextchar = self.instream.read(1) + + if not nextchar: + self.eof = True + break + elif not state: + # First character of the token - determines if we're starting + # to parse a word, a number or something else. + token = nextchar + if self.isword(nextchar): + state = 'a' + elif self.isnum(nextchar): + state = '0' + elif self.isspace(nextchar): + token = ' ' + break # emit token + else: + break # emit token + elif state == 'a': + # If we've already started reading a word, we keep reading + # letters until we find something that's not part of a word. + seenletters = True + if self.isword(nextchar): + token += nextchar + elif nextchar == '.': + token += nextchar + state = 'a.' + else: + self.charstack.append(nextchar) + break # emit token + elif state == '0': + # If we've already started reading a number, we keep reading + # numbers until we find something that doesn't fit. + if self.isnum(nextchar): + token += nextchar + elif nextchar == '.' or (nextchar == ',' and len(token) >= 2): + token += nextchar + state = '0.' + else: + self.charstack.append(nextchar) + break # emit token + elif state == 'a.': + # If we've seen some letters and a dot separator, continue + # parsing, and the tokens will be broken up later. + seenletters = True + if nextchar == '.' or self.isword(nextchar): + token += nextchar + elif self.isnum(nextchar) and token[-1] == '.': + token += nextchar + state = '0.' + else: + self.charstack.append(nextchar) + break # emit token + elif state == '0.': + # If we've seen at least one dot separator, keep going, we'll + # break up the tokens later. + if nextchar == '.' or self.isnum(nextchar): + token += nextchar + elif self.isword(nextchar) and token[-1] == '.': + token += nextchar + state = 'a.' + else: + self.charstack.append(nextchar) + break # emit token + + if (state in ('a.', '0.') and (seenletters or token.count('.') > 1 or + token[-1] in '.,')): + l = self._split_decimal.split(token) + token = l[0] + for tok in l[1:]: + if tok: + self.tokenstack.append(tok) + + if state == '0.' and token.count('.') == 0: + token = token.replace(',', '.') + + return token + + def __iter__(self): + return self + + def __next__(self): + token = self.get_token() + if token is None: + raise StopIteration + + return token + + def next(self): + return self.__next__() # Python 2.x support + + @classmethod + def split(cls, s): + return list(cls(s)) + + @classmethod + def isword(cls, nextchar): + """ Whether or not the next character is part of a word """ + return nextchar.isalpha() + + @classmethod + def isnum(cls, nextchar): + """ Whether the next character is part of a number """ + return nextchar.isdigit() + + @classmethod + def isspace(cls, nextchar): + """ Whether the next character is whitespace """ + return nextchar.isspace() + + +class _resultbase(object): + + def __init__(self): + for attr in self.__slots__: + setattr(self, attr, None) + + def _repr(self, classname): + l = [] + for attr in self.__slots__: + value = getattr(self, attr) + if value is not None: + l.append("%s=%s" % (attr, repr(value))) + return "%s(%s)" % (classname, ", ".join(l)) + + def __len__(self): + return (sum(getattr(self, attr) is not None + for attr in self.__slots__)) + + def __repr__(self): + return self._repr(self.__class__.__name__) + + +class parserinfo(object): + """ + Class which handles what inputs are accepted. Subclass this to customize + the language and acceptable values for each parameter. + + :param dayfirst: + Whether to interpret the first value in an ambiguous 3-integer date + (e.g. 01/05/09) as the day (``True``) or month (``False``). If + ``yearfirst`` is set to ``True``, this distinguishes between YDM + and YMD. Default is ``False``. + + :param yearfirst: + Whether to interpret the first value in an ambiguous 3-integer date + (e.g. 01/05/09) as the year. If ``True``, the first number is taken + to be the year, otherwise the last number is taken to be the year. + Default is ``False``. + """ + + # m from a.m/p.m, t from ISO T separator + JUMP = [" ", ".", ",", ";", "-", "/", "'", + "at", "on", "and", "ad", "m", "t", "of", + "st", "nd", "rd", "th"] + + WEEKDAYS = [("Mon", "Monday"), + ("Tue", "Tuesday"), # TODO: "Tues" + ("Wed", "Wednesday"), + ("Thu", "Thursday"), # TODO: "Thurs" + ("Fri", "Friday"), + ("Sat", "Saturday"), + ("Sun", "Sunday")] + MONTHS = [("Jan", "January"), + ("Feb", "February"), # TODO: "Febr" + ("Mar", "March"), + ("Apr", "April"), + ("May", "May"), + ("Jun", "June"), + ("Jul", "July"), + ("Aug", "August"), + ("Sep", "Sept", "September"), + ("Oct", "October"), + ("Nov", "November"), + ("Dec", "December")] + HMS = [("h", "hour", "hours"), + ("m", "minute", "minutes"), + ("s", "second", "seconds")] + AMPM = [("am", "a"), + ("pm", "p")] + UTCZONE = ["UTC", "GMT", "Z", "z"] + PERTAIN = ["of"] + TZOFFSET = {} + # TODO: ERA = ["AD", "BC", "CE", "BCE", "Stardate", + # "Anno Domini", "Year of Our Lord"] + + def __init__(self, dayfirst=False, yearfirst=False): + self._jump = self._convert(self.JUMP) + self._weekdays = self._convert(self.WEEKDAYS) + self._months = self._convert(self.MONTHS) + self._hms = self._convert(self.HMS) + self._ampm = self._convert(self.AMPM) + self._utczone = self._convert(self.UTCZONE) + self._pertain = self._convert(self.PERTAIN) + + self.dayfirst = dayfirst + self.yearfirst = yearfirst + + self._year = time.localtime().tm_year + self._century = self._year // 100 * 100 + + def _convert(self, lst): + dct = {} + for i, v in enumerate(lst): + if isinstance(v, tuple): + for v in v: + dct[v.lower()] = i + else: + dct[v.lower()] = i + return dct + + def jump(self, name): + return name.lower() in self._jump + + def weekday(self, name): + try: + return self._weekdays[name.lower()] + except KeyError: + pass + return None + + def month(self, name): + try: + return self._months[name.lower()] + 1 + except KeyError: + pass + return None + + def hms(self, name): + try: + return self._hms[name.lower()] + except KeyError: + return None + + def ampm(self, name): + try: + return self._ampm[name.lower()] + except KeyError: + return None + + def pertain(self, name): + return name.lower() in self._pertain + + def utczone(self, name): + return name.lower() in self._utczone + + def tzoffset(self, name): + if name in self._utczone: + return 0 + + return self.TZOFFSET.get(name) + + def convertyear(self, year, century_specified=False): + """ + Converts two-digit years to year within [-50, 49] + range of self._year (current local time) + """ + + # Function contract is that the year is always positive + assert year >= 0 + + if year < 100 and not century_specified: + # assume current century to start + year += self._century + + if year >= self._year + 50: # if too far in future + year -= 100 + elif year < self._year - 50: # if too far in past + year += 100 + + return year + + def validate(self, res): + # move to info + if res.year is not None: + res.year = self.convertyear(res.year, res.century_specified) + + if ((res.tzoffset == 0 and not res.tzname) or + (res.tzname == 'Z' or res.tzname == 'z')): + res.tzname = "UTC" + res.tzoffset = 0 + elif res.tzoffset != 0 and res.tzname and self.utczone(res.tzname): + res.tzoffset = 0 + return True + + +class _ymd(list): + def __init__(self, *args, **kwargs): + super(self.__class__, self).__init__(*args, **kwargs) + self.century_specified = False + self.dstridx = None + self.mstridx = None + self.ystridx = None + + @property + def has_year(self): + return self.ystridx is not None + + @property + def has_month(self): + return self.mstridx is not None + + @property + def has_day(self): + return self.dstridx is not None + + def could_be_day(self, value): + if self.has_day: + return False + elif not self.has_month: + return 1 <= value <= 31 + elif not self.has_year: + # Be permissive, assume leap year + month = self[self.mstridx] + return 1 <= value <= monthrange(2000, month)[1] + else: + month = self[self.mstridx] + year = self[self.ystridx] + return 1 <= value <= monthrange(year, month)[1] + + def append(self, val, label=None): + if hasattr(val, '__len__'): + if val.isdigit() and len(val) > 2: + self.century_specified = True + if label not in [None, 'Y']: # pragma: no cover + raise ValueError(label) + label = 'Y' + elif val > 100: + self.century_specified = True + if label not in [None, 'Y']: # pragma: no cover + raise ValueError(label) + label = 'Y' + + super(self.__class__, self).append(int(val)) + + if label == 'M': + if self.has_month: + raise ValueError('Month is already set') + self.mstridx = len(self) - 1 + elif label == 'D': + if self.has_day: + raise ValueError('Day is already set') + self.dstridx = len(self) - 1 + elif label == 'Y': + if self.has_year: + raise ValueError('Year is already set') + self.ystridx = len(self) - 1 + + def _resolve_from_stridxs(self, strids): + """ + Try to resolve the identities of year/month/day elements using + ystridx, mstridx, and dstridx, if enough of these are specified. + """ + if len(self) == 3 and len(strids) == 2: + # we can back out the remaining stridx value + missing = [x for x in range(3) if x not in strids.values()] + key = [x for x in ['y', 'm', 'd'] if x not in strids] + assert len(missing) == len(key) == 1 + key = key[0] + val = missing[0] + strids[key] = val + + assert len(self) == len(strids) # otherwise this should not be called + out = {key: self[strids[key]] for key in strids} + return (out.get('y'), out.get('m'), out.get('d')) + + def resolve_ymd(self, yearfirst, dayfirst): + len_ymd = len(self) + year, month, day = (None, None, None) + + strids = (('y', self.ystridx), + ('m', self.mstridx), + ('d', self.dstridx)) + + strids = {key: val for key, val in strids if val is not None} + if (len(self) == len(strids) > 0 or + (len(self) == 3 and len(strids) == 2)): + return self._resolve_from_stridxs(strids) + + mstridx = self.mstridx + + if len_ymd > 3: + raise ValueError("More than three YMD values") + elif len_ymd == 1 or (mstridx is not None and len_ymd == 2): + # One member, or two members with a month string + if mstridx is not None: + month = self[mstridx] + # since mstridx is 0 or 1, self[mstridx-1] always + # looks up the other element + other = self[mstridx - 1] + else: + other = self[0] + + if len_ymd > 1 or mstridx is None: + if other > 31: + year = other + else: + day = other + + elif len_ymd == 2: + # Two members with numbers + if self[0] > 31: + # 99-01 + year, month = self + elif self[1] > 31: + # 01-99 + month, year = self + elif dayfirst and self[1] <= 12: + # 13-01 + day, month = self + else: + # 01-13 + month, day = self + + elif len_ymd == 3: + # Three members + if mstridx == 0: + if self[1] > 31: + # Apr-2003-25 + month, year, day = self + else: + month, day, year = self + elif mstridx == 1: + if self[0] > 31 or (yearfirst and self[2] <= 31): + # 99-Jan-01 + year, month, day = self + else: + # 01-Jan-01 + # Give precedence to day-first, since + # two-digit years is usually hand-written. + day, month, year = self + + elif mstridx == 2: + # WTF!? + if self[1] > 31: + # 01-99-Jan + day, year, month = self + else: + # 99-01-Jan + year, day, month = self + + else: + if (self[0] > 31 or + self.ystridx == 0 or + (yearfirst and self[1] <= 12 and self[2] <= 31)): + # 99-01-01 + if dayfirst and self[2] <= 12: + year, day, month = self + else: + year, month, day = self + elif self[0] > 12 or (dayfirst and self[1] <= 12): + # 13-01-01 + day, month, year = self + else: + # 01-13-01 + month, day, year = self + + return year, month, day + + +class parser(object): + def __init__(self, info=None): + self.info = info or parserinfo() + + def parse(self, timestr, default=None, + ignoretz=False, tzinfos=None, **kwargs): + """ + Parse the date/time string into a :class:`datetime.datetime` object. + + :param timestr: + Any date/time string using the supported formats. + + :param default: + The default datetime object, if this is a datetime object and not + ``None``, elements specified in ``timestr`` replace elements in the + default object. + + :param ignoretz: + If set ``True``, time zones in parsed strings are ignored and a + naive :class:`datetime.datetime` object is returned. + + :param tzinfos: + Additional time zone names / aliases which may be present in the + string. This argument maps time zone names (and optionally offsets + from those time zones) to time zones. This parameter can be a + dictionary with timezone aliases mapping time zone names to time + zones or a function taking two parameters (``tzname`` and + ``tzoffset``) and returning a time zone. + + The timezones to which the names are mapped can be an integer + offset from UTC in seconds or a :class:`tzinfo` object. + + .. doctest:: + :options: +NORMALIZE_WHITESPACE + + >>> from dateutil.parser import parse + >>> from dateutil.tz import gettz + >>> tzinfos = {"BRST": -7200, "CST": gettz("America/Chicago")} + >>> parse("2012-01-19 17:21:00 BRST", tzinfos=tzinfos) + datetime.datetime(2012, 1, 19, 17, 21, tzinfo=tzoffset(u'BRST', -7200)) + >>> parse("2012-01-19 17:21:00 CST", tzinfos=tzinfos) + datetime.datetime(2012, 1, 19, 17, 21, + tzinfo=tzfile('/usr/share/zoneinfo/America/Chicago')) + + This parameter is ignored if ``ignoretz`` is set. + + :param \\*\\*kwargs: + Keyword arguments as passed to ``_parse()``. + + :return: + Returns a :class:`datetime.datetime` object or, if the + ``fuzzy_with_tokens`` option is ``True``, returns a tuple, the + first element being a :class:`datetime.datetime` object, the second + a tuple containing the fuzzy tokens. + + :raises ParserError: + Raised for invalid or unknown string format, if the provided + :class:`tzinfo` is not in a valid format, or if an invalid date + would be created. + + :raises TypeError: + Raised for non-string or character stream input. + + :raises OverflowError: + Raised if the parsed date exceeds the largest valid C integer on + your system. + """ + + if default is None: + default = datetime.datetime.now().replace(hour=0, minute=0, + second=0, microsecond=0) + + res, skipped_tokens = self._parse(timestr, **kwargs) + + if res is None: + raise ParserError("Unknown string format: %s", timestr) + + if len(res) == 0: + raise ParserError("String does not contain a date: %s", timestr) + + try: + ret = self._build_naive(res, default) + except ValueError as e: + six.raise_from(ParserError(str(e) + ": %s", timestr), e) + + if not ignoretz: + ret = self._build_tzaware(ret, res, tzinfos) + + if kwargs.get('fuzzy_with_tokens', False): + return ret, skipped_tokens + else: + return ret + + class _result(_resultbase): + __slots__ = ["year", "month", "day", "weekday", + "hour", "minute", "second", "microsecond", + "tzname", "tzoffset", "ampm","any_unused_tokens"] + + def _parse(self, timestr, dayfirst=None, yearfirst=None, fuzzy=False, + fuzzy_with_tokens=False): + """ + Private method which performs the heavy lifting of parsing, called from + ``parse()``, which passes on its ``kwargs`` to this function. + + :param timestr: + The string to parse. + + :param dayfirst: + Whether to interpret the first value in an ambiguous 3-integer date + (e.g. 01/05/09) as the day (``True``) or month (``False``). If + ``yearfirst`` is set to ``True``, this distinguishes between YDM + and YMD. If set to ``None``, this value is retrieved from the + current :class:`parserinfo` object (which itself defaults to + ``False``). + + :param yearfirst: + Whether to interpret the first value in an ambiguous 3-integer date + (e.g. 01/05/09) as the year. If ``True``, the first number is taken + to be the year, otherwise the last number is taken to be the year. + If this is set to ``None``, the value is retrieved from the current + :class:`parserinfo` object (which itself defaults to ``False``). + + :param fuzzy: + Whether to allow fuzzy parsing, allowing for string like "Today is + January 1, 2047 at 8:21:00AM". + + :param fuzzy_with_tokens: + If ``True``, ``fuzzy`` is automatically set to True, and the parser + will return a tuple where the first element is the parsed + :class:`datetime.datetime` datetimestamp and the second element is + a tuple containing the portions of the string which were ignored: + + .. doctest:: + + >>> from dateutil.parser import parse + >>> parse("Today is January 1, 2047 at 8:21:00AM", fuzzy_with_tokens=True) + (datetime.datetime(2047, 1, 1, 8, 21), (u'Today is ', u' ', u'at ')) + + """ + if fuzzy_with_tokens: + fuzzy = True + + info = self.info + + if dayfirst is None: + dayfirst = info.dayfirst + + if yearfirst is None: + yearfirst = info.yearfirst + + res = self._result() + l = _timelex.split(timestr) # Splits the timestr into tokens + + skipped_idxs = [] + + # year/month/day list + ymd = _ymd() + + len_l = len(l) + i = 0 + try: + while i < len_l: + + # Check if it's a number + value_repr = l[i] + try: + value = float(value_repr) + except ValueError: + value = None + + if value is not None: + # Numeric token + i = self._parse_numeric_token(l, i, info, ymd, res, fuzzy) + + # Check weekday + elif info.weekday(l[i]) is not None: + value = info.weekday(l[i]) + res.weekday = value + + # Check month name + elif info.month(l[i]) is not None: + value = info.month(l[i]) + ymd.append(value, 'M') + + if i + 1 < len_l: + if l[i + 1] in ('-', '/'): + # Jan-01[-99] + sep = l[i + 1] + ymd.append(l[i + 2]) + + if i + 3 < len_l and l[i + 3] == sep: + # Jan-01-99 + ymd.append(l[i + 4]) + i += 2 + + i += 2 + + elif (i + 4 < len_l and l[i + 1] == l[i + 3] == ' ' and + info.pertain(l[i + 2])): + # Jan of 01 + # In this case, 01 is clearly year + if l[i + 4].isdigit(): + # Convert it here to become unambiguous + value = int(l[i + 4]) + year = str(info.convertyear(value)) + ymd.append(year, 'Y') + else: + # Wrong guess + pass + # TODO: not hit in tests + i += 4 + + # Check am/pm + elif info.ampm(l[i]) is not None: + value = info.ampm(l[i]) + val_is_ampm = self._ampm_valid(res.hour, res.ampm, fuzzy) + + if val_is_ampm: + res.hour = self._adjust_ampm(res.hour, value) + res.ampm = value + + elif fuzzy: + skipped_idxs.append(i) + + # Check for a timezone name + elif self._could_be_tzname(res.hour, res.tzname, res.tzoffset, l[i]): + res.tzname = l[i] + res.tzoffset = info.tzoffset(res.tzname) + + # Check for something like GMT+3, or BRST+3. Notice + # that it doesn't mean "I am 3 hours after GMT", but + # "my time +3 is GMT". If found, we reverse the + # logic so that timezone parsing code will get it + # right. + if i + 1 < len_l and l[i + 1] in ('+', '-'): + l[i + 1] = ('+', '-')[l[i + 1] == '+'] + res.tzoffset = None + if info.utczone(res.tzname): + # With something like GMT+3, the timezone + # is *not* GMT. + res.tzname = None + + # Check for a numbered timezone + elif res.hour is not None and l[i] in ('+', '-'): + signal = (-1, 1)[l[i] == '+'] + len_li = len(l[i + 1]) + + # TODO: check that l[i + 1] is integer? + if len_li == 4: + # -0300 + hour_offset = int(l[i + 1][:2]) + min_offset = int(l[i + 1][2:]) + elif i + 2 < len_l and l[i + 2] == ':': + # -03:00 + hour_offset = int(l[i + 1]) + min_offset = int(l[i + 3]) # TODO: Check that l[i+3] is minute-like? + i += 2 + elif len_li <= 2: + # -[0]3 + hour_offset = int(l[i + 1][:2]) + min_offset = 0 + else: + raise ValueError(timestr) + + res.tzoffset = signal * (hour_offset * 3600 + min_offset * 60) + + # Look for a timezone name between parenthesis + if (i + 5 < len_l and + info.jump(l[i + 2]) and l[i + 3] == '(' and + l[i + 5] == ')' and + 3 <= len(l[i + 4]) and + self._could_be_tzname(res.hour, res.tzname, + None, l[i + 4])): + # -0300 (BRST) + res.tzname = l[i + 4] + i += 4 + + i += 1 + + # Check jumps + elif not (info.jump(l[i]) or fuzzy): + raise ValueError(timestr) + + else: + skipped_idxs.append(i) + i += 1 + + # Process year/month/day + year, month, day = ymd.resolve_ymd(yearfirst, dayfirst) + + res.century_specified = ymd.century_specified + res.year = year + res.month = month + res.day = day + + except (IndexError, ValueError): + return None, None + + if not info.validate(res): + return None, None + + if fuzzy_with_tokens: + skipped_tokens = self._recombine_skipped(l, skipped_idxs) + return res, tuple(skipped_tokens) + else: + return res, None + + def _parse_numeric_token(self, tokens, idx, info, ymd, res, fuzzy): + # Token is a number + value_repr = tokens[idx] + try: + value = self._to_decimal(value_repr) + except Exception as e: + six.raise_from(ValueError('Unknown numeric token'), e) + + len_li = len(value_repr) + + len_l = len(tokens) + + if (len(ymd) == 3 and len_li in (2, 4) and + res.hour is None and + (idx + 1 >= len_l or + (tokens[idx + 1] != ':' and + info.hms(tokens[idx + 1]) is None))): + # 19990101T23[59] + s = tokens[idx] + res.hour = int(s[:2]) + + if len_li == 4: + res.minute = int(s[2:]) + + elif len_li == 6 or (len_li > 6 and tokens[idx].find('.') == 6): + # YYMMDD or HHMMSS[.ss] + s = tokens[idx] + + if not ymd and '.' not in tokens[idx]: + ymd.append(s[:2]) + ymd.append(s[2:4]) + ymd.append(s[4:]) + else: + # 19990101T235959[.59] + + # TODO: Check if res attributes already set. + res.hour = int(s[:2]) + res.minute = int(s[2:4]) + res.second, res.microsecond = self._parsems(s[4:]) + + elif len_li in (8, 12, 14): + # YYYYMMDD + s = tokens[idx] + ymd.append(s[:4], 'Y') + ymd.append(s[4:6]) + ymd.append(s[6:8]) + + if len_li > 8: + res.hour = int(s[8:10]) + res.minute = int(s[10:12]) + + if len_li > 12: + res.second = int(s[12:]) + + elif self._find_hms_idx(idx, tokens, info, allow_jump=True) is not None: + # HH[ ]h or MM[ ]m or SS[.ss][ ]s + hms_idx = self._find_hms_idx(idx, tokens, info, allow_jump=True) + (idx, hms) = self._parse_hms(idx, tokens, info, hms_idx) + if hms is not None: + # TODO: checking that hour/minute/second are not + # already set? + self._assign_hms(res, value_repr, hms) + + elif idx + 2 < len_l and tokens[idx + 1] == ':': + # HH:MM[:SS[.ss]] + res.hour = int(value) + value = self._to_decimal(tokens[idx + 2]) # TODO: try/except for this? + (res.minute, res.second) = self._parse_min_sec(value) + + if idx + 4 < len_l and tokens[idx + 3] == ':': + res.second, res.microsecond = self._parsems(tokens[idx + 4]) + + idx += 2 + + idx += 2 + + elif idx + 1 < len_l and tokens[idx + 1] in ('-', '/', '.'): + sep = tokens[idx + 1] + ymd.append(value_repr) + + if idx + 2 < len_l and not info.jump(tokens[idx + 2]): + if tokens[idx + 2].isdigit(): + # 01-01[-01] + ymd.append(tokens[idx + 2]) + else: + # 01-Jan[-01] + value = info.month(tokens[idx + 2]) + + if value is not None: + ymd.append(value, 'M') + else: + raise ValueError() + + if idx + 3 < len_l and tokens[idx + 3] == sep: + # We have three members + value = info.month(tokens[idx + 4]) + + if value is not None: + ymd.append(value, 'M') + else: + ymd.append(tokens[idx + 4]) + idx += 2 + + idx += 1 + idx += 1 + + elif idx + 1 >= len_l or info.jump(tokens[idx + 1]): + if idx + 2 < len_l and info.ampm(tokens[idx + 2]) is not None: + # 12 am + hour = int(value) + res.hour = self._adjust_ampm(hour, info.ampm(tokens[idx + 2])) + idx += 1 + else: + # Year, month or day + ymd.append(value) + idx += 1 + + elif info.ampm(tokens[idx + 1]) is not None and (0 <= value < 24): + # 12am + hour = int(value) + res.hour = self._adjust_ampm(hour, info.ampm(tokens[idx + 1])) + idx += 1 + + elif ymd.could_be_day(value): + ymd.append(value) + + elif not fuzzy: + raise ValueError() + + return idx + + def _find_hms_idx(self, idx, tokens, info, allow_jump): + len_l = len(tokens) + + if idx+1 < len_l and info.hms(tokens[idx+1]) is not None: + # There is an "h", "m", or "s" label following this token. We take + # assign the upcoming label to the current token. + # e.g. the "12" in 12h" + hms_idx = idx + 1 + + elif (allow_jump and idx+2 < len_l and tokens[idx+1] == ' ' and + info.hms(tokens[idx+2]) is not None): + # There is a space and then an "h", "m", or "s" label. + # e.g. the "12" in "12 h" + hms_idx = idx + 2 + + elif idx > 0 and info.hms(tokens[idx-1]) is not None: + # There is a "h", "m", or "s" preceding this token. Since neither + # of the previous cases was hit, there is no label following this + # token, so we use the previous label. + # e.g. the "04" in "12h04" + hms_idx = idx-1 + + elif (1 < idx == len_l-1 and tokens[idx-1] == ' ' and + info.hms(tokens[idx-2]) is not None): + # If we are looking at the final token, we allow for a + # backward-looking check to skip over a space. + # TODO: Are we sure this is the right condition here? + hms_idx = idx - 2 + + else: + hms_idx = None + + return hms_idx + + def _assign_hms(self, res, value_repr, hms): + # See GH issue #427, fixing float rounding + value = self._to_decimal(value_repr) + + if hms == 0: + # Hour + res.hour = int(value) + if value % 1: + res.minute = int(60*(value % 1)) + + elif hms == 1: + (res.minute, res.second) = self._parse_min_sec(value) + + elif hms == 2: + (res.second, res.microsecond) = self._parsems(value_repr) + + def _could_be_tzname(self, hour, tzname, tzoffset, token): + return (hour is not None and + tzname is None and + tzoffset is None and + len(token) <= 5 and + (all(x in string.ascii_uppercase for x in token) + or token in self.info.UTCZONE)) + + def _ampm_valid(self, hour, ampm, fuzzy): + """ + For fuzzy parsing, 'a' or 'am' (both valid English words) + may erroneously trigger the AM/PM flag. Deal with that + here. + """ + val_is_ampm = True + + # If there's already an AM/PM flag, this one isn't one. + if fuzzy and ampm is not None: + val_is_ampm = False + + # If AM/PM is found and hour is not, raise a ValueError + if hour is None: + if fuzzy: + val_is_ampm = False + else: + raise ValueError('No hour specified with AM or PM flag.') + elif not 0 <= hour <= 12: + # If AM/PM is found, it's a 12 hour clock, so raise + # an error for invalid range + if fuzzy: + val_is_ampm = False + else: + raise ValueError('Invalid hour specified for 12-hour clock.') + + return val_is_ampm + + def _adjust_ampm(self, hour, ampm): + if hour < 12 and ampm == 1: + hour += 12 + elif hour == 12 and ampm == 0: + hour = 0 + return hour + + def _parse_min_sec(self, value): + # TODO: Every usage of this function sets res.second to the return + # value. Are there any cases where second will be returned as None and + # we *don't* want to set res.second = None? + minute = int(value) + second = None + + sec_remainder = value % 1 + if sec_remainder: + second = int(60 * sec_remainder) + return (minute, second) + + def _parse_hms(self, idx, tokens, info, hms_idx): + # TODO: Is this going to admit a lot of false-positives for when we + # just happen to have digits and "h", "m" or "s" characters in non-date + # text? I guess hex hashes won't have that problem, but there's plenty + # of random junk out there. + if hms_idx is None: + hms = None + new_idx = idx + elif hms_idx > idx: + hms = info.hms(tokens[hms_idx]) + new_idx = hms_idx + else: + # Looking backwards, increment one. + hms = info.hms(tokens[hms_idx]) + 1 + new_idx = idx + + return (new_idx, hms) + + # ------------------------------------------------------------------ + # Handling for individual tokens. These are kept as methods instead + # of functions for the sake of customizability via subclassing. + + def _parsems(self, value): + """Parse a I[.F] seconds value into (seconds, microseconds).""" + if "." not in value: + return int(value), 0 + else: + i, f = value.split(".") + return int(i), int(f.ljust(6, "0")[:6]) + + def _to_decimal(self, val): + try: + decimal_value = Decimal(val) + # See GH 662, edge case, infinite value should not be converted + # via `_to_decimal` + if not decimal_value.is_finite(): + raise ValueError("Converted decimal value is infinite or NaN") + except Exception as e: + msg = "Could not convert %s to decimal" % val + six.raise_from(ValueError(msg), e) + else: + return decimal_value + + # ------------------------------------------------------------------ + # Post-Parsing construction of datetime output. These are kept as + # methods instead of functions for the sake of customizability via + # subclassing. + + def _build_tzinfo(self, tzinfos, tzname, tzoffset): + if callable(tzinfos): + tzdata = tzinfos(tzname, tzoffset) + else: + tzdata = tzinfos.get(tzname) + # handle case where tzinfo is paased an options that returns None + # eg tzinfos = {'BRST' : None} + if isinstance(tzdata, datetime.tzinfo) or tzdata is None: + tzinfo = tzdata + elif isinstance(tzdata, text_type): + tzinfo = tz.tzstr(tzdata) + elif isinstance(tzdata, integer_types): + tzinfo = tz.tzoffset(tzname, tzdata) + else: + raise TypeError("Offset must be tzinfo subclass, tz string, " + "or int offset.") + return tzinfo + + def _build_tzaware(self, naive, res, tzinfos): + if (callable(tzinfos) or (tzinfos and res.tzname in tzinfos)): + tzinfo = self._build_tzinfo(tzinfos, res.tzname, res.tzoffset) + aware = naive.replace(tzinfo=tzinfo) + aware = self._assign_tzname(aware, res.tzname) + + elif res.tzname and res.tzname in time.tzname: + aware = naive.replace(tzinfo=tz.tzlocal()) + + # Handle ambiguous local datetime + aware = self._assign_tzname(aware, res.tzname) + + # This is mostly relevant for winter GMT zones parsed in the UK + if (aware.tzname() != res.tzname and + res.tzname in self.info.UTCZONE): + aware = aware.replace(tzinfo=tz.UTC) + + elif res.tzoffset == 0: + aware = naive.replace(tzinfo=tz.UTC) + + elif res.tzoffset: + aware = naive.replace(tzinfo=tz.tzoffset(res.tzname, res.tzoffset)) + + elif not res.tzname and not res.tzoffset: + # i.e. no timezone information was found. + aware = naive + + elif res.tzname: + # tz-like string was parsed but we don't know what to do + # with it + warnings.warn("tzname {tzname} identified but not understood. " + "Pass `tzinfos` argument in order to correctly " + "return a timezone-aware datetime. In a future " + "version, this will raise an " + "exception.".format(tzname=res.tzname), + category=UnknownTimezoneWarning) + aware = naive + + return aware + + def _build_naive(self, res, default): + repl = {} + for attr in ("year", "month", "day", "hour", + "minute", "second", "microsecond"): + value = getattr(res, attr) + if value is not None: + repl[attr] = value + + if 'day' not in repl: + # If the default day exceeds the last day of the month, fall back + # to the end of the month. + cyear = default.year if res.year is None else res.year + cmonth = default.month if res.month is None else res.month + cday = default.day if res.day is None else res.day + + if cday > monthrange(cyear, cmonth)[1]: + repl['day'] = monthrange(cyear, cmonth)[1] + + naive = default.replace(**repl) + + if res.weekday is not None and not res.day: + naive = naive + relativedelta.relativedelta(weekday=res.weekday) + + return naive + + def _assign_tzname(self, dt, tzname): + if dt.tzname() != tzname: + new_dt = tz.enfold(dt, fold=1) + if new_dt.tzname() == tzname: + return new_dt + + return dt + + def _recombine_skipped(self, tokens, skipped_idxs): + """ + >>> tokens = ["foo", " ", "bar", " ", "19June2000", "baz"] + >>> skipped_idxs = [0, 1, 2, 5] + >>> _recombine_skipped(tokens, skipped_idxs) + ["foo bar", "baz"] + """ + skipped_tokens = [] + for i, idx in enumerate(sorted(skipped_idxs)): + if i > 0 and idx - 1 == skipped_idxs[i - 1]: + skipped_tokens[-1] = skipped_tokens[-1] + tokens[idx] + else: + skipped_tokens.append(tokens[idx]) + + return skipped_tokens + + +DEFAULTPARSER = parser() + + +def parse(timestr, parserinfo=None, **kwargs): + """ + + Parse a string in one of the supported formats, using the + ``parserinfo`` parameters. + + :param timestr: + A string containing a date/time stamp. + + :param parserinfo: + A :class:`parserinfo` object containing parameters for the parser. + If ``None``, the default arguments to the :class:`parserinfo` + constructor are used. + + The ``**kwargs`` parameter takes the following keyword arguments: + + :param default: + The default datetime object, if this is a datetime object and not + ``None``, elements specified in ``timestr`` replace elements in the + default object. + + :param ignoretz: + If set ``True``, time zones in parsed strings are ignored and a naive + :class:`datetime` object is returned. + + :param tzinfos: + Additional time zone names / aliases which may be present in the + string. This argument maps time zone names (and optionally offsets + from those time zones) to time zones. This parameter can be a + dictionary with timezone aliases mapping time zone names to time + zones or a function taking two parameters (``tzname`` and + ``tzoffset``) and returning a time zone. + + The timezones to which the names are mapped can be an integer + offset from UTC in seconds or a :class:`tzinfo` object. + + .. doctest:: + :options: +NORMALIZE_WHITESPACE + + >>> from dateutil.parser import parse + >>> from dateutil.tz import gettz + >>> tzinfos = {"BRST": -7200, "CST": gettz("America/Chicago")} + >>> parse("2012-01-19 17:21:00 BRST", tzinfos=tzinfos) + datetime.datetime(2012, 1, 19, 17, 21, tzinfo=tzoffset(u'BRST', -7200)) + >>> parse("2012-01-19 17:21:00 CST", tzinfos=tzinfos) + datetime.datetime(2012, 1, 19, 17, 21, + tzinfo=tzfile('/usr/share/zoneinfo/America/Chicago')) + + This parameter is ignored if ``ignoretz`` is set. + + :param dayfirst: + Whether to interpret the first value in an ambiguous 3-integer date + (e.g. 01/05/09) as the day (``True``) or month (``False``). If + ``yearfirst`` is set to ``True``, this distinguishes between YDM and + YMD. If set to ``None``, this value is retrieved from the current + :class:`parserinfo` object (which itself defaults to ``False``). + + :param yearfirst: + Whether to interpret the first value in an ambiguous 3-integer date + (e.g. 01/05/09) as the year. If ``True``, the first number is taken to + be the year, otherwise the last number is taken to be the year. If + this is set to ``None``, the value is retrieved from the current + :class:`parserinfo` object (which itself defaults to ``False``). + + :param fuzzy: + Whether to allow fuzzy parsing, allowing for string like "Today is + January 1, 2047 at 8:21:00AM". + + :param fuzzy_with_tokens: + If ``True``, ``fuzzy`` is automatically set to True, and the parser + will return a tuple where the first element is the parsed + :class:`datetime.datetime` datetimestamp and the second element is + a tuple containing the portions of the string which were ignored: + + .. doctest:: + + >>> from dateutil.parser import parse + >>> parse("Today is January 1, 2047 at 8:21:00AM", fuzzy_with_tokens=True) + (datetime.datetime(2047, 1, 1, 8, 21), (u'Today is ', u' ', u'at ')) + + :return: + Returns a :class:`datetime.datetime` object or, if the + ``fuzzy_with_tokens`` option is ``True``, returns a tuple, the + first element being a :class:`datetime.datetime` object, the second + a tuple containing the fuzzy tokens. + + :raises ParserError: + Raised for invalid or unknown string formats, if the provided + :class:`tzinfo` is not in a valid format, or if an invalid date would + be created. + + :raises OverflowError: + Raised if the parsed date exceeds the largest valid C integer on + your system. + """ + if parserinfo: + return parser(parserinfo).parse(timestr, **kwargs) + else: + return DEFAULTPARSER.parse(timestr, **kwargs) + + +class _tzparser(object): + + class _result(_resultbase): + + __slots__ = ["stdabbr", "stdoffset", "dstabbr", "dstoffset", + "start", "end"] + + class _attr(_resultbase): + __slots__ = ["month", "week", "weekday", + "yday", "jyday", "day", "time"] + + def __repr__(self): + return self._repr("") + + def __init__(self): + _resultbase.__init__(self) + self.start = self._attr() + self.end = self._attr() + + def parse(self, tzstr): + res = self._result() + l = [x for x in re.split(r'([,:.]|[a-zA-Z]+|[0-9]+)',tzstr) if x] + used_idxs = list() + try: + + len_l = len(l) + + i = 0 + while i < len_l: + # BRST+3[BRDT[+2]] + j = i + while j < len_l and not [x for x in l[j] + if x in "0123456789:,-+"]: + j += 1 + if j != i: + if not res.stdabbr: + offattr = "stdoffset" + res.stdabbr = "".join(l[i:j]) + else: + offattr = "dstoffset" + res.dstabbr = "".join(l[i:j]) + + for ii in range(j): + used_idxs.append(ii) + i = j + if (i < len_l and (l[i] in ('+', '-') or l[i][0] in + "0123456789")): + if l[i] in ('+', '-'): + # Yes, that's right. See the TZ variable + # documentation. + signal = (1, -1)[l[i] == '+'] + used_idxs.append(i) + i += 1 + else: + signal = -1 + len_li = len(l[i]) + if len_li == 4: + # -0300 + setattr(res, offattr, (int(l[i][:2]) * 3600 + + int(l[i][2:]) * 60) * signal) + elif i + 1 < len_l and l[i + 1] == ':': + # -03:00 + setattr(res, offattr, + (int(l[i]) * 3600 + + int(l[i + 2]) * 60) * signal) + used_idxs.append(i) + i += 2 + elif len_li <= 2: + # -[0]3 + setattr(res, offattr, + int(l[i][:2]) * 3600 * signal) + else: + return None + used_idxs.append(i) + i += 1 + if res.dstabbr: + break + else: + break + + + if i < len_l: + for j in range(i, len_l): + if l[j] == ';': + l[j] = ',' + + assert l[i] == ',' + + i += 1 + + if i >= len_l: + pass + elif (8 <= l.count(',') <= 9 and + not [y for x in l[i:] if x != ',' + for y in x if y not in "0123456789+-"]): + # GMT0BST,3,0,30,3600,10,0,26,7200[,3600] + for x in (res.start, res.end): + x.month = int(l[i]) + used_idxs.append(i) + i += 2 + if l[i] == '-': + value = int(l[i + 1]) * -1 + used_idxs.append(i) + i += 1 + else: + value = int(l[i]) + used_idxs.append(i) + i += 2 + if value: + x.week = value + x.weekday = (int(l[i]) - 1) % 7 + else: + x.day = int(l[i]) + used_idxs.append(i) + i += 2 + x.time = int(l[i]) + used_idxs.append(i) + i += 2 + if i < len_l: + if l[i] in ('-', '+'): + signal = (-1, 1)[l[i] == "+"] + used_idxs.append(i) + i += 1 + else: + signal = 1 + used_idxs.append(i) + res.dstoffset = (res.stdoffset + int(l[i]) * signal) + + # This was a made-up format that is not in normal use + warn(('Parsed time zone "%s"' % tzstr) + + 'is in a non-standard dateutil-specific format, which ' + + 'is now deprecated; support for parsing this format ' + + 'will be removed in future versions. It is recommended ' + + 'that you switch to a standard format like the GNU ' + + 'TZ variable format.', tz.DeprecatedTzFormatWarning) + elif (l.count(',') == 2 and l[i:].count('/') <= 2 and + not [y for x in l[i:] if x not in (',', '/', 'J', 'M', + '.', '-', ':') + for y in x if y not in "0123456789"]): + for x in (res.start, res.end): + if l[i] == 'J': + # non-leap year day (1 based) + used_idxs.append(i) + i += 1 + x.jyday = int(l[i]) + elif l[i] == 'M': + # month[-.]week[-.]weekday + used_idxs.append(i) + i += 1 + x.month = int(l[i]) + used_idxs.append(i) + i += 1 + assert l[i] in ('-', '.') + used_idxs.append(i) + i += 1 + x.week = int(l[i]) + if x.week == 5: + x.week = -1 + used_idxs.append(i) + i += 1 + assert l[i] in ('-', '.') + used_idxs.append(i) + i += 1 + x.weekday = (int(l[i]) - 1) % 7 + else: + # year day (zero based) + x.yday = int(l[i]) + 1 + + used_idxs.append(i) + i += 1 + + if i < len_l and l[i] == '/': + used_idxs.append(i) + i += 1 + # start time + len_li = len(l[i]) + if len_li == 4: + # -0300 + x.time = (int(l[i][:2]) * 3600 + + int(l[i][2:]) * 60) + elif i + 1 < len_l and l[i + 1] == ':': + # -03:00 + x.time = int(l[i]) * 3600 + int(l[i + 2]) * 60 + used_idxs.append(i) + i += 2 + if i + 1 < len_l and l[i + 1] == ':': + used_idxs.append(i) + i += 2 + x.time += int(l[i]) + elif len_li <= 2: + # -[0]3 + x.time = (int(l[i][:2]) * 3600) + else: + return None + used_idxs.append(i) + i += 1 + + assert i == len_l or l[i] == ',' + + i += 1 + + assert i >= len_l + + except (IndexError, ValueError, AssertionError): + return None + + unused_idxs = set(range(len_l)).difference(used_idxs) + res.any_unused_tokens = not {l[n] for n in unused_idxs}.issubset({",",":"}) + return res + + +DEFAULTTZPARSER = _tzparser() + + +def _parsetz(tzstr): + return DEFAULTTZPARSER.parse(tzstr) + + +class ParserError(ValueError): + """Exception subclass used for any failure to parse a datetime string. + + This is a subclass of :py:exc:`ValueError`, and should be raised any time + earlier versions of ``dateutil`` would have raised ``ValueError``. + + .. versionadded:: 2.8.1 + """ + def __str__(self): + try: + return self.args[0] % self.args[1:] + except (TypeError, IndexError): + return super(ParserError, self).__str__() + + def __repr__(self): + args = ", ".join("'%s'" % arg for arg in self.args) + return "%s(%s)" % (self.__class__.__name__, args) + + +class UnknownTimezoneWarning(RuntimeWarning): + """Raised when the parser finds a timezone it cannot parse into a tzinfo. + + .. versionadded:: 2.7.0 + """ +# vim:ts=4:sw=4:et diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/parser/isoparser.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/parser/isoparser.py new file mode 100644 index 0000000000000000000000000000000000000000..7060087df4776a07347cbb60127a70db393e3a65 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/parser/isoparser.py @@ -0,0 +1,416 @@ +# -*- coding: utf-8 -*- +""" +This module offers a parser for ISO-8601 strings + +It is intended to support all valid date, time and datetime formats per the +ISO-8601 specification. + +..versionadded:: 2.7.0 +""" +from datetime import datetime, timedelta, time, date +import calendar +from dateutil import tz + +from functools import wraps + +import re +import six + +__all__ = ["isoparse", "isoparser"] + + +def _takes_ascii(f): + @wraps(f) + def func(self, str_in, *args, **kwargs): + # If it's a stream, read the whole thing + str_in = getattr(str_in, 'read', lambda: str_in)() + + # If it's unicode, turn it into bytes, since ISO-8601 only covers ASCII + if isinstance(str_in, six.text_type): + # ASCII is the same in UTF-8 + try: + str_in = str_in.encode('ascii') + except UnicodeEncodeError as e: + msg = 'ISO-8601 strings should contain only ASCII characters' + six.raise_from(ValueError(msg), e) + + return f(self, str_in, *args, **kwargs) + + return func + + +class isoparser(object): + def __init__(self, sep=None): + """ + :param sep: + A single character that separates date and time portions. If + ``None``, the parser will accept any single character. + For strict ISO-8601 adherence, pass ``'T'``. + """ + if sep is not None: + if (len(sep) != 1 or ord(sep) >= 128 or sep in '0123456789'): + raise ValueError('Separator must be a single, non-numeric ' + + 'ASCII character') + + sep = sep.encode('ascii') + + self._sep = sep + + @_takes_ascii + def isoparse(self, dt_str): + """ + Parse an ISO-8601 datetime string into a :class:`datetime.datetime`. + + An ISO-8601 datetime string consists of a date portion, followed + optionally by a time portion - the date and time portions are separated + by a single character separator, which is ``T`` in the official + standard. Incomplete date formats (such as ``YYYY-MM``) may *not* be + combined with a time portion. + + Supported date formats are: + + Common: + + - ``YYYY`` + - ``YYYY-MM`` + - ``YYYY-MM-DD`` or ``YYYYMMDD`` + + Uncommon: + + - ``YYYY-Www`` or ``YYYYWww`` - ISO week (day defaults to 0) + - ``YYYY-Www-D`` or ``YYYYWwwD`` - ISO week and day + + The ISO week and day numbering follows the same logic as + :func:`datetime.date.isocalendar`. + + Supported time formats are: + + - ``hh`` + - ``hh:mm`` or ``hhmm`` + - ``hh:mm:ss`` or ``hhmmss`` + - ``hh:mm:ss.ssssss`` (Up to 6 sub-second digits) + + Midnight is a special case for `hh`, as the standard supports both + 00:00 and 24:00 as a representation. The decimal separator can be + either a dot or a comma. + + + .. caution:: + + Support for fractional components other than seconds is part of the + ISO-8601 standard, but is not currently implemented in this parser. + + Supported time zone offset formats are: + + - `Z` (UTC) + - `±HH:MM` + - `±HHMM` + - `±HH` + + Offsets will be represented as :class:`dateutil.tz.tzoffset` objects, + with the exception of UTC, which will be represented as + :class:`dateutil.tz.tzutc`. Time zone offsets equivalent to UTC (such + as `+00:00`) will also be represented as :class:`dateutil.tz.tzutc`. + + :param dt_str: + A string or stream containing only an ISO-8601 datetime string + + :return: + Returns a :class:`datetime.datetime` representing the string. + Unspecified components default to their lowest value. + + .. warning:: + + As of version 2.7.0, the strictness of the parser should not be + considered a stable part of the contract. Any valid ISO-8601 string + that parses correctly with the default settings will continue to + parse correctly in future versions, but invalid strings that + currently fail (e.g. ``2017-01-01T00:00+00:00:00``) are not + guaranteed to continue failing in future versions if they encode + a valid date. + + .. versionadded:: 2.7.0 + """ + components, pos = self._parse_isodate(dt_str) + + if len(dt_str) > pos: + if self._sep is None or dt_str[pos:pos + 1] == self._sep: + components += self._parse_isotime(dt_str[pos + 1:]) + else: + raise ValueError('String contains unknown ISO components') + + if len(components) > 3 and components[3] == 24: + components[3] = 0 + return datetime(*components) + timedelta(days=1) + + return datetime(*components) + + @_takes_ascii + def parse_isodate(self, datestr): + """ + Parse the date portion of an ISO string. + + :param datestr: + The string portion of an ISO string, without a separator + + :return: + Returns a :class:`datetime.date` object + """ + components, pos = self._parse_isodate(datestr) + if pos < len(datestr): + raise ValueError('String contains unknown ISO ' + + 'components: {!r}'.format(datestr.decode('ascii'))) + return date(*components) + + @_takes_ascii + def parse_isotime(self, timestr): + """ + Parse the time portion of an ISO string. + + :param timestr: + The time portion of an ISO string, without a separator + + :return: + Returns a :class:`datetime.time` object + """ + components = self._parse_isotime(timestr) + if components[0] == 24: + components[0] = 0 + return time(*components) + + @_takes_ascii + def parse_tzstr(self, tzstr, zero_as_utc=True): + """ + Parse a valid ISO time zone string. + + See :func:`isoparser.isoparse` for details on supported formats. + + :param tzstr: + A string representing an ISO time zone offset + + :param zero_as_utc: + Whether to return :class:`dateutil.tz.tzutc` for zero-offset zones + + :return: + Returns :class:`dateutil.tz.tzoffset` for offsets and + :class:`dateutil.tz.tzutc` for ``Z`` and (if ``zero_as_utc`` is + specified) offsets equivalent to UTC. + """ + return self._parse_tzstr(tzstr, zero_as_utc=zero_as_utc) + + # Constants + _DATE_SEP = b'-' + _TIME_SEP = b':' + _FRACTION_REGEX = re.compile(b'[\\.,]([0-9]+)') + + def _parse_isodate(self, dt_str): + try: + return self._parse_isodate_common(dt_str) + except ValueError: + return self._parse_isodate_uncommon(dt_str) + + def _parse_isodate_common(self, dt_str): + len_str = len(dt_str) + components = [1, 1, 1] + + if len_str < 4: + raise ValueError('ISO string too short') + + # Year + components[0] = int(dt_str[0:4]) + pos = 4 + if pos >= len_str: + return components, pos + + has_sep = dt_str[pos:pos + 1] == self._DATE_SEP + if has_sep: + pos += 1 + + # Month + if len_str - pos < 2: + raise ValueError('Invalid common month') + + components[1] = int(dt_str[pos:pos + 2]) + pos += 2 + + if pos >= len_str: + if has_sep: + return components, pos + else: + raise ValueError('Invalid ISO format') + + if has_sep: + if dt_str[pos:pos + 1] != self._DATE_SEP: + raise ValueError('Invalid separator in ISO string') + pos += 1 + + # Day + if len_str - pos < 2: + raise ValueError('Invalid common day') + components[2] = int(dt_str[pos:pos + 2]) + return components, pos + 2 + + def _parse_isodate_uncommon(self, dt_str): + if len(dt_str) < 4: + raise ValueError('ISO string too short') + + # All ISO formats start with the year + year = int(dt_str[0:4]) + + has_sep = dt_str[4:5] == self._DATE_SEP + + pos = 4 + has_sep # Skip '-' if it's there + if dt_str[pos:pos + 1] == b'W': + # YYYY-?Www-?D? + pos += 1 + weekno = int(dt_str[pos:pos + 2]) + pos += 2 + + dayno = 1 + if len(dt_str) > pos: + if (dt_str[pos:pos + 1] == self._DATE_SEP) != has_sep: + raise ValueError('Inconsistent use of dash separator') + + pos += has_sep + + dayno = int(dt_str[pos:pos + 1]) + pos += 1 + + base_date = self._calculate_weekdate(year, weekno, dayno) + else: + # YYYYDDD or YYYY-DDD + if len(dt_str) - pos < 3: + raise ValueError('Invalid ordinal day') + + ordinal_day = int(dt_str[pos:pos + 3]) + pos += 3 + + if ordinal_day < 1 or ordinal_day > (365 + calendar.isleap(year)): + raise ValueError('Invalid ordinal day' + + ' {} for year {}'.format(ordinal_day, year)) + + base_date = date(year, 1, 1) + timedelta(days=ordinal_day - 1) + + components = [base_date.year, base_date.month, base_date.day] + return components, pos + + def _calculate_weekdate(self, year, week, day): + """ + Calculate the day of corresponding to the ISO year-week-day calendar. + + This function is effectively the inverse of + :func:`datetime.date.isocalendar`. + + :param year: + The year in the ISO calendar + + :param week: + The week in the ISO calendar - range is [1, 53] + + :param day: + The day in the ISO calendar - range is [1 (MON), 7 (SUN)] + + :return: + Returns a :class:`datetime.date` + """ + if not 0 < week < 54: + raise ValueError('Invalid week: {}'.format(week)) + + if not 0 < day < 8: # Range is 1-7 + raise ValueError('Invalid weekday: {}'.format(day)) + + # Get week 1 for the specific year: + jan_4 = date(year, 1, 4) # Week 1 always has January 4th in it + week_1 = jan_4 - timedelta(days=jan_4.isocalendar()[2] - 1) + + # Now add the specific number of weeks and days to get what we want + week_offset = (week - 1) * 7 + (day - 1) + return week_1 + timedelta(days=week_offset) + + def _parse_isotime(self, timestr): + len_str = len(timestr) + components = [0, 0, 0, 0, None] + pos = 0 + comp = -1 + + if len_str < 2: + raise ValueError('ISO time too short') + + has_sep = False + + while pos < len_str and comp < 5: + comp += 1 + + if timestr[pos:pos + 1] in b'-+Zz': + # Detect time zone boundary + components[-1] = self._parse_tzstr(timestr[pos:]) + pos = len_str + break + + if comp == 1 and timestr[pos:pos+1] == self._TIME_SEP: + has_sep = True + pos += 1 + elif comp == 2 and has_sep: + if timestr[pos:pos+1] != self._TIME_SEP: + raise ValueError('Inconsistent use of colon separator') + pos += 1 + + if comp < 3: + # Hour, minute, second + components[comp] = int(timestr[pos:pos + 2]) + pos += 2 + + if comp == 3: + # Fraction of a second + frac = self._FRACTION_REGEX.match(timestr[pos:]) + if not frac: + continue + + us_str = frac.group(1)[:6] # Truncate to microseconds + components[comp] = int(us_str) * 10**(6 - len(us_str)) + pos += len(frac.group()) + + if pos < len_str: + raise ValueError('Unused components in ISO string') + + if components[0] == 24: + # Standard supports 00:00 and 24:00 as representations of midnight + if any(component != 0 for component in components[1:4]): + raise ValueError('Hour may only be 24 at 24:00:00.000') + + return components + + def _parse_tzstr(self, tzstr, zero_as_utc=True): + if tzstr == b'Z' or tzstr == b'z': + return tz.UTC + + if len(tzstr) not in {3, 5, 6}: + raise ValueError('Time zone offset must be 1, 3, 5 or 6 characters') + + if tzstr[0:1] == b'-': + mult = -1 + elif tzstr[0:1] == b'+': + mult = 1 + else: + raise ValueError('Time zone offset requires sign') + + hours = int(tzstr[1:3]) + if len(tzstr) == 3: + minutes = 0 + else: + minutes = int(tzstr[(4 if tzstr[3:4] == self._TIME_SEP else 3):]) + + if zero_as_utc and hours == 0 and minutes == 0: + return tz.UTC + else: + if minutes > 59: + raise ValueError('Invalid minutes in time zone offset') + + if hours > 23: + raise ValueError('Invalid hours in time zone offset') + + return tz.tzoffset(None, mult * (hours * 60 + minutes) * 60) + + +DEFAULT_ISOPARSER = isoparser() +isoparse = DEFAULT_ISOPARSER.isoparse diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/relativedelta.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/relativedelta.py new file mode 100644 index 0000000000000000000000000000000000000000..cd323a549e0f182541ebcde2d2ea1adfbbd9701e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/relativedelta.py @@ -0,0 +1,599 @@ +# -*- coding: utf-8 -*- +import datetime +import calendar + +import operator +from math import copysign + +from six import integer_types +from warnings import warn + +from ._common import weekday + +MO, TU, WE, TH, FR, SA, SU = weekdays = tuple(weekday(x) for x in range(7)) + +__all__ = ["relativedelta", "MO", "TU", "WE", "TH", "FR", "SA", "SU"] + + +class relativedelta(object): + """ + The relativedelta type is designed to be applied to an existing datetime and + can replace specific components of that datetime, or represents an interval + of time. + + It is based on the specification of the excellent work done by M.-A. Lemburg + in his + `mx.DateTime `_ extension. + However, notice that this type does *NOT* implement the same algorithm as + his work. Do *NOT* expect it to behave like mx.DateTime's counterpart. + + There are two different ways to build a relativedelta instance. The + first one is passing it two date/datetime classes:: + + relativedelta(datetime1, datetime2) + + The second one is passing it any number of the following keyword arguments:: + + relativedelta(arg1=x,arg2=y,arg3=z...) + + year, month, day, hour, minute, second, microsecond: + Absolute information (argument is singular); adding or subtracting a + relativedelta with absolute information does not perform an arithmetic + operation, but rather REPLACES the corresponding value in the + original datetime with the value(s) in relativedelta. + + years, months, weeks, days, hours, minutes, seconds, microseconds: + Relative information, may be negative (argument is plural); adding + or subtracting a relativedelta with relative information performs + the corresponding arithmetic operation on the original datetime value + with the information in the relativedelta. + + weekday: + One of the weekday instances (MO, TU, etc) available in the + relativedelta module. These instances may receive a parameter N, + specifying the Nth weekday, which could be positive or negative + (like MO(+1) or MO(-2)). Not specifying it is the same as specifying + +1. You can also use an integer, where 0=MO. This argument is always + relative e.g. if the calculated date is already Monday, using MO(1) + or MO(-1) won't change the day. To effectively make it absolute, use + it in combination with the day argument (e.g. day=1, MO(1) for first + Monday of the month). + + leapdays: + Will add given days to the date found, if year is a leap + year, and the date found is post 28 of february. + + yearday, nlyearday: + Set the yearday or the non-leap year day (jump leap days). + These are converted to day/month/leapdays information. + + There are relative and absolute forms of the keyword + arguments. The plural is relative, and the singular is + absolute. For each argument in the order below, the absolute form + is applied first (by setting each attribute to that value) and + then the relative form (by adding the value to the attribute). + + The order of attributes considered when this relativedelta is + added to a datetime is: + + 1. Year + 2. Month + 3. Day + 4. Hours + 5. Minutes + 6. Seconds + 7. Microseconds + + Finally, weekday is applied, using the rule described above. + + For example + + >>> from datetime import datetime + >>> from dateutil.relativedelta import relativedelta, MO + >>> dt = datetime(2018, 4, 9, 13, 37, 0) + >>> delta = relativedelta(hours=25, day=1, weekday=MO(1)) + >>> dt + delta + datetime.datetime(2018, 4, 2, 14, 37) + + First, the day is set to 1 (the first of the month), then 25 hours + are added, to get to the 2nd day and 14th hour, finally the + weekday is applied, but since the 2nd is already a Monday there is + no effect. + + """ + + def __init__(self, dt1=None, dt2=None, + years=0, months=0, days=0, leapdays=0, weeks=0, + hours=0, minutes=0, seconds=0, microseconds=0, + year=None, month=None, day=None, weekday=None, + yearday=None, nlyearday=None, + hour=None, minute=None, second=None, microsecond=None): + + if dt1 and dt2: + # datetime is a subclass of date. So both must be date + if not (isinstance(dt1, datetime.date) and + isinstance(dt2, datetime.date)): + raise TypeError("relativedelta only diffs datetime/date") + + # We allow two dates, or two datetimes, so we coerce them to be + # of the same type + if (isinstance(dt1, datetime.datetime) != + isinstance(dt2, datetime.datetime)): + if not isinstance(dt1, datetime.datetime): + dt1 = datetime.datetime.fromordinal(dt1.toordinal()) + elif not isinstance(dt2, datetime.datetime): + dt2 = datetime.datetime.fromordinal(dt2.toordinal()) + + self.years = 0 + self.months = 0 + self.days = 0 + self.leapdays = 0 + self.hours = 0 + self.minutes = 0 + self.seconds = 0 + self.microseconds = 0 + self.year = None + self.month = None + self.day = None + self.weekday = None + self.hour = None + self.minute = None + self.second = None + self.microsecond = None + self._has_time = 0 + + # Get year / month delta between the two + months = (dt1.year - dt2.year) * 12 + (dt1.month - dt2.month) + self._set_months(months) + + # Remove the year/month delta so the timedelta is just well-defined + # time units (seconds, days and microseconds) + dtm = self.__radd__(dt2) + + # If we've overshot our target, make an adjustment + if dt1 < dt2: + compare = operator.gt + increment = 1 + else: + compare = operator.lt + increment = -1 + + while compare(dt1, dtm): + months += increment + self._set_months(months) + dtm = self.__radd__(dt2) + + # Get the timedelta between the "months-adjusted" date and dt1 + delta = dt1 - dtm + self.seconds = delta.seconds + delta.days * 86400 + self.microseconds = delta.microseconds + else: + # Check for non-integer values in integer-only quantities + if any(x is not None and x != int(x) for x in (years, months)): + raise ValueError("Non-integer years and months are " + "ambiguous and not currently supported.") + + # Relative information + self.years = int(years) + self.months = int(months) + self.days = days + weeks * 7 + self.leapdays = leapdays + self.hours = hours + self.minutes = minutes + self.seconds = seconds + self.microseconds = microseconds + + # Absolute information + self.year = year + self.month = month + self.day = day + self.hour = hour + self.minute = minute + self.second = second + self.microsecond = microsecond + + if any(x is not None and int(x) != x + for x in (year, month, day, hour, + minute, second, microsecond)): + # For now we'll deprecate floats - later it'll be an error. + warn("Non-integer value passed as absolute information. " + + "This is not a well-defined condition and will raise " + + "errors in future versions.", DeprecationWarning) + + if isinstance(weekday, integer_types): + self.weekday = weekdays[weekday] + else: + self.weekday = weekday + + yday = 0 + if nlyearday: + yday = nlyearday + elif yearday: + yday = yearday + if yearday > 59: + self.leapdays = -1 + if yday: + ydayidx = [31, 59, 90, 120, 151, 181, 212, + 243, 273, 304, 334, 366] + for idx, ydays in enumerate(ydayidx): + if yday <= ydays: + self.month = idx+1 + if idx == 0: + self.day = yday + else: + self.day = yday-ydayidx[idx-1] + break + else: + raise ValueError("invalid year day (%d)" % yday) + + self._fix() + + def _fix(self): + if abs(self.microseconds) > 999999: + s = _sign(self.microseconds) + div, mod = divmod(self.microseconds * s, 1000000) + self.microseconds = mod * s + self.seconds += div * s + if abs(self.seconds) > 59: + s = _sign(self.seconds) + div, mod = divmod(self.seconds * s, 60) + self.seconds = mod * s + self.minutes += div * s + if abs(self.minutes) > 59: + s = _sign(self.minutes) + div, mod = divmod(self.minutes * s, 60) + self.minutes = mod * s + self.hours += div * s + if abs(self.hours) > 23: + s = _sign(self.hours) + div, mod = divmod(self.hours * s, 24) + self.hours = mod * s + self.days += div * s + if abs(self.months) > 11: + s = _sign(self.months) + div, mod = divmod(self.months * s, 12) + self.months = mod * s + self.years += div * s + if (self.hours or self.minutes or self.seconds or self.microseconds + or self.hour is not None or self.minute is not None or + self.second is not None or self.microsecond is not None): + self._has_time = 1 + else: + self._has_time = 0 + + @property + def weeks(self): + return int(self.days / 7.0) + + @weeks.setter + def weeks(self, value): + self.days = self.days - (self.weeks * 7) + value * 7 + + def _set_months(self, months): + self.months = months + if abs(self.months) > 11: + s = _sign(self.months) + div, mod = divmod(self.months * s, 12) + self.months = mod * s + self.years = div * s + else: + self.years = 0 + + def normalized(self): + """ + Return a version of this object represented entirely using integer + values for the relative attributes. + + >>> relativedelta(days=1.5, hours=2).normalized() + relativedelta(days=+1, hours=+14) + + :return: + Returns a :class:`dateutil.relativedelta.relativedelta` object. + """ + # Cascade remainders down (rounding each to roughly nearest microsecond) + days = int(self.days) + + hours_f = round(self.hours + 24 * (self.days - days), 11) + hours = int(hours_f) + + minutes_f = round(self.minutes + 60 * (hours_f - hours), 10) + minutes = int(minutes_f) + + seconds_f = round(self.seconds + 60 * (minutes_f - minutes), 8) + seconds = int(seconds_f) + + microseconds = round(self.microseconds + 1e6 * (seconds_f - seconds)) + + # Constructor carries overflow back up with call to _fix() + return self.__class__(years=self.years, months=self.months, + days=days, hours=hours, minutes=minutes, + seconds=seconds, microseconds=microseconds, + leapdays=self.leapdays, year=self.year, + month=self.month, day=self.day, + weekday=self.weekday, hour=self.hour, + minute=self.minute, second=self.second, + microsecond=self.microsecond) + + def __add__(self, other): + if isinstance(other, relativedelta): + return self.__class__(years=other.years + self.years, + months=other.months + self.months, + days=other.days + self.days, + hours=other.hours + self.hours, + minutes=other.minutes + self.minutes, + seconds=other.seconds + self.seconds, + microseconds=(other.microseconds + + self.microseconds), + leapdays=other.leapdays or self.leapdays, + year=(other.year if other.year is not None + else self.year), + month=(other.month if other.month is not None + else self.month), + day=(other.day if other.day is not None + else self.day), + weekday=(other.weekday if other.weekday is not None + else self.weekday), + hour=(other.hour if other.hour is not None + else self.hour), + minute=(other.minute if other.minute is not None + else self.minute), + second=(other.second if other.second is not None + else self.second), + microsecond=(other.microsecond if other.microsecond + is not None else + self.microsecond)) + if isinstance(other, datetime.timedelta): + return self.__class__(years=self.years, + months=self.months, + days=self.days + other.days, + hours=self.hours, + minutes=self.minutes, + seconds=self.seconds + other.seconds, + microseconds=self.microseconds + other.microseconds, + leapdays=self.leapdays, + year=self.year, + month=self.month, + day=self.day, + weekday=self.weekday, + hour=self.hour, + minute=self.minute, + second=self.second, + microsecond=self.microsecond) + if not isinstance(other, datetime.date): + return NotImplemented + elif self._has_time and not isinstance(other, datetime.datetime): + other = datetime.datetime.fromordinal(other.toordinal()) + year = (self.year or other.year)+self.years + month = self.month or other.month + if self.months: + assert 1 <= abs(self.months) <= 12 + month += self.months + if month > 12: + year += 1 + month -= 12 + elif month < 1: + year -= 1 + month += 12 + day = min(calendar.monthrange(year, month)[1], + self.day or other.day) + repl = {"year": year, "month": month, "day": day} + for attr in ["hour", "minute", "second", "microsecond"]: + value = getattr(self, attr) + if value is not None: + repl[attr] = value + days = self.days + if self.leapdays and month > 2 and calendar.isleap(year): + days += self.leapdays + ret = (other.replace(**repl) + + datetime.timedelta(days=days, + hours=self.hours, + minutes=self.minutes, + seconds=self.seconds, + microseconds=self.microseconds)) + if self.weekday: + weekday, nth = self.weekday.weekday, self.weekday.n or 1 + jumpdays = (abs(nth) - 1) * 7 + if nth > 0: + jumpdays += (7 - ret.weekday() + weekday) % 7 + else: + jumpdays += (ret.weekday() - weekday) % 7 + jumpdays *= -1 + ret += datetime.timedelta(days=jumpdays) + return ret + + def __radd__(self, other): + return self.__add__(other) + + def __rsub__(self, other): + return self.__neg__().__radd__(other) + + def __sub__(self, other): + if not isinstance(other, relativedelta): + return NotImplemented # In case the other object defines __rsub__ + return self.__class__(years=self.years - other.years, + months=self.months - other.months, + days=self.days - other.days, + hours=self.hours - other.hours, + minutes=self.minutes - other.minutes, + seconds=self.seconds - other.seconds, + microseconds=self.microseconds - other.microseconds, + leapdays=self.leapdays or other.leapdays, + year=(self.year if self.year is not None + else other.year), + month=(self.month if self.month is not None else + other.month), + day=(self.day if self.day is not None else + other.day), + weekday=(self.weekday if self.weekday is not None else + other.weekday), + hour=(self.hour if self.hour is not None else + other.hour), + minute=(self.minute if self.minute is not None else + other.minute), + second=(self.second if self.second is not None else + other.second), + microsecond=(self.microsecond if self.microsecond + is not None else + other.microsecond)) + + def __abs__(self): + return self.__class__(years=abs(self.years), + months=abs(self.months), + days=abs(self.days), + hours=abs(self.hours), + minutes=abs(self.minutes), + seconds=abs(self.seconds), + microseconds=abs(self.microseconds), + leapdays=self.leapdays, + year=self.year, + month=self.month, + day=self.day, + weekday=self.weekday, + hour=self.hour, + minute=self.minute, + second=self.second, + microsecond=self.microsecond) + + def __neg__(self): + return self.__class__(years=-self.years, + months=-self.months, + days=-self.days, + hours=-self.hours, + minutes=-self.minutes, + seconds=-self.seconds, + microseconds=-self.microseconds, + leapdays=self.leapdays, + year=self.year, + month=self.month, + day=self.day, + weekday=self.weekday, + hour=self.hour, + minute=self.minute, + second=self.second, + microsecond=self.microsecond) + + def __bool__(self): + return not (not self.years and + not self.months and + not self.days and + not self.hours and + not self.minutes and + not self.seconds and + not self.microseconds and + not self.leapdays and + self.year is None and + self.month is None and + self.day is None and + self.weekday is None and + self.hour is None and + self.minute is None and + self.second is None and + self.microsecond is None) + # Compatibility with Python 2.x + __nonzero__ = __bool__ + + def __mul__(self, other): + try: + f = float(other) + except TypeError: + return NotImplemented + + return self.__class__(years=int(self.years * f), + months=int(self.months * f), + days=int(self.days * f), + hours=int(self.hours * f), + minutes=int(self.minutes * f), + seconds=int(self.seconds * f), + microseconds=int(self.microseconds * f), + leapdays=self.leapdays, + year=self.year, + month=self.month, + day=self.day, + weekday=self.weekday, + hour=self.hour, + minute=self.minute, + second=self.second, + microsecond=self.microsecond) + + __rmul__ = __mul__ + + def __eq__(self, other): + if not isinstance(other, relativedelta): + return NotImplemented + if self.weekday or other.weekday: + if not self.weekday or not other.weekday: + return False + if self.weekday.weekday != other.weekday.weekday: + return False + n1, n2 = self.weekday.n, other.weekday.n + if n1 != n2 and not ((not n1 or n1 == 1) and (not n2 or n2 == 1)): + return False + return (self.years == other.years and + self.months == other.months and + self.days == other.days and + self.hours == other.hours and + self.minutes == other.minutes and + self.seconds == other.seconds and + self.microseconds == other.microseconds and + self.leapdays == other.leapdays and + self.year == other.year and + self.month == other.month and + self.day == other.day and + self.hour == other.hour and + self.minute == other.minute and + self.second == other.second and + self.microsecond == other.microsecond) + + def __hash__(self): + return hash(( + self.weekday, + self.years, + self.months, + self.days, + self.hours, + self.minutes, + self.seconds, + self.microseconds, + self.leapdays, + self.year, + self.month, + self.day, + self.hour, + self.minute, + self.second, + self.microsecond, + )) + + def __ne__(self, other): + return not self.__eq__(other) + + def __div__(self, other): + try: + reciprocal = 1 / float(other) + except TypeError: + return NotImplemented + + return self.__mul__(reciprocal) + + __truediv__ = __div__ + + def __repr__(self): + l = [] + for attr in ["years", "months", "days", "leapdays", + "hours", "minutes", "seconds", "microseconds"]: + value = getattr(self, attr) + if value: + l.append("{attr}={value:+g}".format(attr=attr, value=value)) + for attr in ["year", "month", "day", "weekday", + "hour", "minute", "second", "microsecond"]: + value = getattr(self, attr) + if value is not None: + l.append("{attr}={value}".format(attr=attr, value=repr(value))) + return "{classname}({attrs})".format(classname=self.__class__.__name__, + attrs=", ".join(l)) + + +def _sign(x): + return int(copysign(1, x)) + +# vim:ts=4:sw=4:et diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/rrule.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/rrule.py new file mode 100644 index 0000000000000000000000000000000000000000..571a0d2bc886a7ea4c06196b2f52e740c2ed6e9f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/rrule.py @@ -0,0 +1,1737 @@ +# -*- coding: utf-8 -*- +""" +The rrule module offers a small, complete, and very fast, implementation of +the recurrence rules documented in the +`iCalendar RFC `_, +including support for caching of results. +""" +import calendar +import datetime +import heapq +import itertools +import re +import sys +from functools import wraps +# For warning about deprecation of until and count +from warnings import warn + +from six import advance_iterator, integer_types + +from six.moves import _thread, range + +from ._common import weekday as weekdaybase + +try: + from math import gcd +except ImportError: + from fractions import gcd + +__all__ = ["rrule", "rruleset", "rrulestr", + "YEARLY", "MONTHLY", "WEEKLY", "DAILY", + "HOURLY", "MINUTELY", "SECONDLY", + "MO", "TU", "WE", "TH", "FR", "SA", "SU"] + +# Every mask is 7 days longer to handle cross-year weekly periods. +M366MASK = tuple([1]*31+[2]*29+[3]*31+[4]*30+[5]*31+[6]*30 + + [7]*31+[8]*31+[9]*30+[10]*31+[11]*30+[12]*31+[1]*7) +M365MASK = list(M366MASK) +M29, M30, M31 = list(range(1, 30)), list(range(1, 31)), list(range(1, 32)) +MDAY366MASK = tuple(M31+M29+M31+M30+M31+M30+M31+M31+M30+M31+M30+M31+M31[:7]) +MDAY365MASK = list(MDAY366MASK) +M29, M30, M31 = list(range(-29, 0)), list(range(-30, 0)), list(range(-31, 0)) +NMDAY366MASK = tuple(M31+M29+M31+M30+M31+M30+M31+M31+M30+M31+M30+M31+M31[:7]) +NMDAY365MASK = list(NMDAY366MASK) +M366RANGE = (0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335, 366) +M365RANGE = (0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334, 365) +WDAYMASK = [0, 1, 2, 3, 4, 5, 6]*55 +del M29, M30, M31, M365MASK[59], MDAY365MASK[59], NMDAY365MASK[31] +MDAY365MASK = tuple(MDAY365MASK) +M365MASK = tuple(M365MASK) + +FREQNAMES = ['YEARLY', 'MONTHLY', 'WEEKLY', 'DAILY', 'HOURLY', 'MINUTELY', 'SECONDLY'] + +(YEARLY, + MONTHLY, + WEEKLY, + DAILY, + HOURLY, + MINUTELY, + SECONDLY) = list(range(7)) + +# Imported on demand. +easter = None +parser = None + + +class weekday(weekdaybase): + """ + This version of weekday does not allow n = 0. + """ + def __init__(self, wkday, n=None): + if n == 0: + raise ValueError("Can't create weekday with n==0") + + super(weekday, self).__init__(wkday, n) + + +MO, TU, WE, TH, FR, SA, SU = weekdays = tuple(weekday(x) for x in range(7)) + + +def _invalidates_cache(f): + """ + Decorator for rruleset methods which may invalidate the + cached length. + """ + @wraps(f) + def inner_func(self, *args, **kwargs): + rv = f(self, *args, **kwargs) + self._invalidate_cache() + return rv + + return inner_func + + +class rrulebase(object): + def __init__(self, cache=False): + if cache: + self._cache = [] + self._cache_lock = _thread.allocate_lock() + self._invalidate_cache() + else: + self._cache = None + self._cache_complete = False + self._len = None + + def __iter__(self): + if self._cache_complete: + return iter(self._cache) + elif self._cache is None: + return self._iter() + else: + return self._iter_cached() + + def _invalidate_cache(self): + if self._cache is not None: + self._cache = [] + self._cache_complete = False + self._cache_gen = self._iter() + + if self._cache_lock.locked(): + self._cache_lock.release() + + self._len = None + + def _iter_cached(self): + i = 0 + gen = self._cache_gen + cache = self._cache + acquire = self._cache_lock.acquire + release = self._cache_lock.release + while gen: + if i == len(cache): + acquire() + if self._cache_complete: + break + try: + for j in range(10): + cache.append(advance_iterator(gen)) + except StopIteration: + self._cache_gen = gen = None + self._cache_complete = True + break + release() + yield cache[i] + i += 1 + while i < self._len: + yield cache[i] + i += 1 + + def __getitem__(self, item): + if self._cache_complete: + return self._cache[item] + elif isinstance(item, slice): + if item.step and item.step < 0: + return list(iter(self))[item] + else: + return list(itertools.islice(self, + item.start or 0, + item.stop or sys.maxsize, + item.step or 1)) + elif item >= 0: + gen = iter(self) + try: + for i in range(item+1): + res = advance_iterator(gen) + except StopIteration: + raise IndexError + return res + else: + return list(iter(self))[item] + + def __contains__(self, item): + if self._cache_complete: + return item in self._cache + else: + for i in self: + if i == item: + return True + elif i > item: + return False + return False + + # __len__() introduces a large performance penalty. + def count(self): + """ Returns the number of recurrences in this set. It will have go + through the whole recurrence, if this hasn't been done before. """ + if self._len is None: + for x in self: + pass + return self._len + + def before(self, dt, inc=False): + """ Returns the last recurrence before the given datetime instance. The + inc keyword defines what happens if dt is an occurrence. With + inc=True, if dt itself is an occurrence, it will be returned. """ + if self._cache_complete: + gen = self._cache + else: + gen = self + last = None + if inc: + for i in gen: + if i > dt: + break + last = i + else: + for i in gen: + if i >= dt: + break + last = i + return last + + def after(self, dt, inc=False): + """ Returns the first recurrence after the given datetime instance. The + inc keyword defines what happens if dt is an occurrence. With + inc=True, if dt itself is an occurrence, it will be returned. """ + if self._cache_complete: + gen = self._cache + else: + gen = self + if inc: + for i in gen: + if i >= dt: + return i + else: + for i in gen: + if i > dt: + return i + return None + + def xafter(self, dt, count=None, inc=False): + """ + Generator which yields up to `count` recurrences after the given + datetime instance, equivalent to `after`. + + :param dt: + The datetime at which to start generating recurrences. + + :param count: + The maximum number of recurrences to generate. If `None` (default), + dates are generated until the recurrence rule is exhausted. + + :param inc: + If `dt` is an instance of the rule and `inc` is `True`, it is + included in the output. + + :yields: Yields a sequence of `datetime` objects. + """ + + if self._cache_complete: + gen = self._cache + else: + gen = self + + # Select the comparison function + if inc: + comp = lambda dc, dtc: dc >= dtc + else: + comp = lambda dc, dtc: dc > dtc + + # Generate dates + n = 0 + for d in gen: + if comp(d, dt): + if count is not None: + n += 1 + if n > count: + break + + yield d + + def between(self, after, before, inc=False, count=1): + """ Returns all the occurrences of the rrule between after and before. + The inc keyword defines what happens if after and/or before are + themselves occurrences. With inc=True, they will be included in the + list, if they are found in the recurrence set. """ + if self._cache_complete: + gen = self._cache + else: + gen = self + started = False + l = [] + if inc: + for i in gen: + if i > before: + break + elif not started: + if i >= after: + started = True + l.append(i) + else: + l.append(i) + else: + for i in gen: + if i >= before: + break + elif not started: + if i > after: + started = True + l.append(i) + else: + l.append(i) + return l + + +class rrule(rrulebase): + """ + That's the base of the rrule operation. It accepts all the keywords + defined in the RFC as its constructor parameters (except byday, + which was renamed to byweekday) and more. The constructor prototype is:: + + rrule(freq) + + Where freq must be one of YEARLY, MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY, + or SECONDLY. + + .. note:: + Per RFC section 3.3.10, recurrence instances falling on invalid dates + and times are ignored rather than coerced: + + Recurrence rules may generate recurrence instances with an invalid + date (e.g., February 30) or nonexistent local time (e.g., 1:30 AM + on a day where the local time is moved forward by an hour at 1:00 + AM). Such recurrence instances MUST be ignored and MUST NOT be + counted as part of the recurrence set. + + This can lead to possibly surprising behavior when, for example, the + start date occurs at the end of the month: + + >>> from dateutil.rrule import rrule, MONTHLY + >>> from datetime import datetime + >>> start_date = datetime(2014, 12, 31) + >>> list(rrule(freq=MONTHLY, count=4, dtstart=start_date)) + ... # doctest: +NORMALIZE_WHITESPACE + [datetime.datetime(2014, 12, 31, 0, 0), + datetime.datetime(2015, 1, 31, 0, 0), + datetime.datetime(2015, 3, 31, 0, 0), + datetime.datetime(2015, 5, 31, 0, 0)] + + Additionally, it supports the following keyword arguments: + + :param dtstart: + The recurrence start. Besides being the base for the recurrence, + missing parameters in the final recurrence instances will also be + extracted from this date. If not given, datetime.now() will be used + instead. + :param interval: + The interval between each freq iteration. For example, when using + YEARLY, an interval of 2 means once every two years, but with HOURLY, + it means once every two hours. The default interval is 1. + :param wkst: + The week start day. Must be one of the MO, TU, WE constants, or an + integer, specifying the first day of the week. This will affect + recurrences based on weekly periods. The default week start is got + from calendar.firstweekday(), and may be modified by + calendar.setfirstweekday(). + :param count: + If given, this determines how many occurrences will be generated. + + .. note:: + As of version 2.5.0, the use of the keyword ``until`` in conjunction + with ``count`` is deprecated, to make sure ``dateutil`` is fully + compliant with `RFC-5545 Sec. 3.3.10 `_. Therefore, ``until`` and ``count`` + **must not** occur in the same call to ``rrule``. + :param until: + If given, this must be a datetime instance specifying the upper-bound + limit of the recurrence. The last recurrence in the rule is the greatest + datetime that is less than or equal to the value specified in the + ``until`` parameter. + + .. note:: + As of version 2.5.0, the use of the keyword ``until`` in conjunction + with ``count`` is deprecated, to make sure ``dateutil`` is fully + compliant with `RFC-5545 Sec. 3.3.10 `_. Therefore, ``until`` and ``count`` + **must not** occur in the same call to ``rrule``. + :param bysetpos: + If given, it must be either an integer, or a sequence of integers, + positive or negative. Each given integer will specify an occurrence + number, corresponding to the nth occurrence of the rule inside the + frequency period. For example, a bysetpos of -1 if combined with a + MONTHLY frequency, and a byweekday of (MO, TU, WE, TH, FR), will + result in the last work day of every month. + :param bymonth: + If given, it must be either an integer, or a sequence of integers, + meaning the months to apply the recurrence to. + :param bymonthday: + If given, it must be either an integer, or a sequence of integers, + meaning the month days to apply the recurrence to. + :param byyearday: + If given, it must be either an integer, or a sequence of integers, + meaning the year days to apply the recurrence to. + :param byeaster: + If given, it must be either an integer, or a sequence of integers, + positive or negative. Each integer will define an offset from the + Easter Sunday. Passing the offset 0 to byeaster will yield the Easter + Sunday itself. This is an extension to the RFC specification. + :param byweekno: + If given, it must be either an integer, or a sequence of integers, + meaning the week numbers to apply the recurrence to. Week numbers + have the meaning described in ISO8601, that is, the first week of + the year is that containing at least four days of the new year. + :param byweekday: + If given, it must be either an integer (0 == MO), a sequence of + integers, one of the weekday constants (MO, TU, etc), or a sequence + of these constants. When given, these variables will define the + weekdays where the recurrence will be applied. It's also possible to + use an argument n for the weekday instances, which will mean the nth + occurrence of this weekday in the period. For example, with MONTHLY, + or with YEARLY and BYMONTH, using FR(+1) in byweekday will specify the + first friday of the month where the recurrence happens. Notice that in + the RFC documentation, this is specified as BYDAY, but was renamed to + avoid the ambiguity of that keyword. + :param byhour: + If given, it must be either an integer, or a sequence of integers, + meaning the hours to apply the recurrence to. + :param byminute: + If given, it must be either an integer, or a sequence of integers, + meaning the minutes to apply the recurrence to. + :param bysecond: + If given, it must be either an integer, or a sequence of integers, + meaning the seconds to apply the recurrence to. + :param cache: + If given, it must be a boolean value specifying to enable or disable + caching of results. If you will use the same rrule instance multiple + times, enabling caching will improve the performance considerably. + """ + def __init__(self, freq, dtstart=None, + interval=1, wkst=None, count=None, until=None, bysetpos=None, + bymonth=None, bymonthday=None, byyearday=None, byeaster=None, + byweekno=None, byweekday=None, + byhour=None, byminute=None, bysecond=None, + cache=False): + super(rrule, self).__init__(cache) + global easter + if not dtstart: + if until and until.tzinfo: + dtstart = datetime.datetime.now(tz=until.tzinfo).replace(microsecond=0) + else: + dtstart = datetime.datetime.now().replace(microsecond=0) + elif not isinstance(dtstart, datetime.datetime): + dtstart = datetime.datetime.fromordinal(dtstart.toordinal()) + else: + dtstart = dtstart.replace(microsecond=0) + self._dtstart = dtstart + self._tzinfo = dtstart.tzinfo + self._freq = freq + self._interval = interval + self._count = count + + # Cache the original byxxx rules, if they are provided, as the _byxxx + # attributes do not necessarily map to the inputs, and this can be + # a problem in generating the strings. Only store things if they've + # been supplied (the string retrieval will just use .get()) + self._original_rule = {} + + if until and not isinstance(until, datetime.datetime): + until = datetime.datetime.fromordinal(until.toordinal()) + self._until = until + + if self._dtstart and self._until: + if (self._dtstart.tzinfo is not None) != (self._until.tzinfo is not None): + # According to RFC5545 Section 3.3.10: + # https://tools.ietf.org/html/rfc5545#section-3.3.10 + # + # > If the "DTSTART" property is specified as a date with UTC + # > time or a date with local time and time zone reference, + # > then the UNTIL rule part MUST be specified as a date with + # > UTC time. + raise ValueError( + 'RRULE UNTIL values must be specified in UTC when DTSTART ' + 'is timezone-aware' + ) + + if count is not None and until: + warn("Using both 'count' and 'until' is inconsistent with RFC 5545" + " and has been deprecated in dateutil. Future versions will " + "raise an error.", DeprecationWarning) + + if wkst is None: + self._wkst = calendar.firstweekday() + elif isinstance(wkst, integer_types): + self._wkst = wkst + else: + self._wkst = wkst.weekday + + if bysetpos is None: + self._bysetpos = None + elif isinstance(bysetpos, integer_types): + if bysetpos == 0 or not (-366 <= bysetpos <= 366): + raise ValueError("bysetpos must be between 1 and 366, " + "or between -366 and -1") + self._bysetpos = (bysetpos,) + else: + self._bysetpos = tuple(bysetpos) + for pos in self._bysetpos: + if pos == 0 or not (-366 <= pos <= 366): + raise ValueError("bysetpos must be between 1 and 366, " + "or between -366 and -1") + + if self._bysetpos: + self._original_rule['bysetpos'] = self._bysetpos + + if (byweekno is None and byyearday is None and bymonthday is None and + byweekday is None and byeaster is None): + if freq == YEARLY: + if bymonth is None: + bymonth = dtstart.month + self._original_rule['bymonth'] = None + bymonthday = dtstart.day + self._original_rule['bymonthday'] = None + elif freq == MONTHLY: + bymonthday = dtstart.day + self._original_rule['bymonthday'] = None + elif freq == WEEKLY: + byweekday = dtstart.weekday() + self._original_rule['byweekday'] = None + + # bymonth + if bymonth is None: + self._bymonth = None + else: + if isinstance(bymonth, integer_types): + bymonth = (bymonth,) + + self._bymonth = tuple(sorted(set(bymonth))) + + if 'bymonth' not in self._original_rule: + self._original_rule['bymonth'] = self._bymonth + + # byyearday + if byyearday is None: + self._byyearday = None + else: + if isinstance(byyearday, integer_types): + byyearday = (byyearday,) + + self._byyearday = tuple(sorted(set(byyearday))) + self._original_rule['byyearday'] = self._byyearday + + # byeaster + if byeaster is not None: + if not easter: + from dateutil import easter + if isinstance(byeaster, integer_types): + self._byeaster = (byeaster,) + else: + self._byeaster = tuple(sorted(byeaster)) + + self._original_rule['byeaster'] = self._byeaster + else: + self._byeaster = None + + # bymonthday + if bymonthday is None: + self._bymonthday = () + self._bynmonthday = () + else: + if isinstance(bymonthday, integer_types): + bymonthday = (bymonthday,) + + bymonthday = set(bymonthday) # Ensure it's unique + + self._bymonthday = tuple(sorted(x for x in bymonthday if x > 0)) + self._bynmonthday = tuple(sorted(x for x in bymonthday if x < 0)) + + # Storing positive numbers first, then negative numbers + if 'bymonthday' not in self._original_rule: + self._original_rule['bymonthday'] = tuple( + itertools.chain(self._bymonthday, self._bynmonthday)) + + # byweekno + if byweekno is None: + self._byweekno = None + else: + if isinstance(byweekno, integer_types): + byweekno = (byweekno,) + + self._byweekno = tuple(sorted(set(byweekno))) + + self._original_rule['byweekno'] = self._byweekno + + # byweekday / bynweekday + if byweekday is None: + self._byweekday = None + self._bynweekday = None + else: + # If it's one of the valid non-sequence types, convert to a + # single-element sequence before the iterator that builds the + # byweekday set. + if isinstance(byweekday, integer_types) or hasattr(byweekday, "n"): + byweekday = (byweekday,) + + self._byweekday = set() + self._bynweekday = set() + for wday in byweekday: + if isinstance(wday, integer_types): + self._byweekday.add(wday) + elif not wday.n or freq > MONTHLY: + self._byweekday.add(wday.weekday) + else: + self._bynweekday.add((wday.weekday, wday.n)) + + if not self._byweekday: + self._byweekday = None + elif not self._bynweekday: + self._bynweekday = None + + if self._byweekday is not None: + self._byweekday = tuple(sorted(self._byweekday)) + orig_byweekday = [weekday(x) for x in self._byweekday] + else: + orig_byweekday = () + + if self._bynweekday is not None: + self._bynweekday = tuple(sorted(self._bynweekday)) + orig_bynweekday = [weekday(*x) for x in self._bynweekday] + else: + orig_bynweekday = () + + if 'byweekday' not in self._original_rule: + self._original_rule['byweekday'] = tuple(itertools.chain( + orig_byweekday, orig_bynweekday)) + + # byhour + if byhour is None: + if freq < HOURLY: + self._byhour = {dtstart.hour} + else: + self._byhour = None + else: + if isinstance(byhour, integer_types): + byhour = (byhour,) + + if freq == HOURLY: + self._byhour = self.__construct_byset(start=dtstart.hour, + byxxx=byhour, + base=24) + else: + self._byhour = set(byhour) + + self._byhour = tuple(sorted(self._byhour)) + self._original_rule['byhour'] = self._byhour + + # byminute + if byminute is None: + if freq < MINUTELY: + self._byminute = {dtstart.minute} + else: + self._byminute = None + else: + if isinstance(byminute, integer_types): + byminute = (byminute,) + + if freq == MINUTELY: + self._byminute = self.__construct_byset(start=dtstart.minute, + byxxx=byminute, + base=60) + else: + self._byminute = set(byminute) + + self._byminute = tuple(sorted(self._byminute)) + self._original_rule['byminute'] = self._byminute + + # bysecond + if bysecond is None: + if freq < SECONDLY: + self._bysecond = ((dtstart.second,)) + else: + self._bysecond = None + else: + if isinstance(bysecond, integer_types): + bysecond = (bysecond,) + + self._bysecond = set(bysecond) + + if freq == SECONDLY: + self._bysecond = self.__construct_byset(start=dtstart.second, + byxxx=bysecond, + base=60) + else: + self._bysecond = set(bysecond) + + self._bysecond = tuple(sorted(self._bysecond)) + self._original_rule['bysecond'] = self._bysecond + + if self._freq >= HOURLY: + self._timeset = None + else: + self._timeset = [] + for hour in self._byhour: + for minute in self._byminute: + for second in self._bysecond: + self._timeset.append( + datetime.time(hour, minute, second, + tzinfo=self._tzinfo)) + self._timeset.sort() + self._timeset = tuple(self._timeset) + + def __str__(self): + """ + Output a string that would generate this RRULE if passed to rrulestr. + This is mostly compatible with RFC5545, except for the + dateutil-specific extension BYEASTER. + """ + + output = [] + h, m, s = [None] * 3 + if self._dtstart: + output.append(self._dtstart.strftime('DTSTART:%Y%m%dT%H%M%S')) + h, m, s = self._dtstart.timetuple()[3:6] + + parts = ['FREQ=' + FREQNAMES[self._freq]] + if self._interval != 1: + parts.append('INTERVAL=' + str(self._interval)) + + if self._wkst: + parts.append('WKST=' + repr(weekday(self._wkst))[0:2]) + + if self._count is not None: + parts.append('COUNT=' + str(self._count)) + + if self._until: + parts.append(self._until.strftime('UNTIL=%Y%m%dT%H%M%S')) + + if self._original_rule.get('byweekday') is not None: + # The str() method on weekday objects doesn't generate + # RFC5545-compliant strings, so we should modify that. + original_rule = dict(self._original_rule) + wday_strings = [] + for wday in original_rule['byweekday']: + if wday.n: + wday_strings.append('{n:+d}{wday}'.format( + n=wday.n, + wday=repr(wday)[0:2])) + else: + wday_strings.append(repr(wday)) + + original_rule['byweekday'] = wday_strings + else: + original_rule = self._original_rule + + partfmt = '{name}={vals}' + for name, key in [('BYSETPOS', 'bysetpos'), + ('BYMONTH', 'bymonth'), + ('BYMONTHDAY', 'bymonthday'), + ('BYYEARDAY', 'byyearday'), + ('BYWEEKNO', 'byweekno'), + ('BYDAY', 'byweekday'), + ('BYHOUR', 'byhour'), + ('BYMINUTE', 'byminute'), + ('BYSECOND', 'bysecond'), + ('BYEASTER', 'byeaster')]: + value = original_rule.get(key) + if value: + parts.append(partfmt.format(name=name, vals=(','.join(str(v) + for v in value)))) + + output.append('RRULE:' + ';'.join(parts)) + return '\n'.join(output) + + def replace(self, **kwargs): + """Return new rrule with same attributes except for those attributes given new + values by whichever keyword arguments are specified.""" + new_kwargs = {"interval": self._interval, + "count": self._count, + "dtstart": self._dtstart, + "freq": self._freq, + "until": self._until, + "wkst": self._wkst, + "cache": False if self._cache is None else True } + new_kwargs.update(self._original_rule) + new_kwargs.update(kwargs) + return rrule(**new_kwargs) + + def _iter(self): + year, month, day, hour, minute, second, weekday, yearday, _ = \ + self._dtstart.timetuple() + + # Some local variables to speed things up a bit + freq = self._freq + interval = self._interval + wkst = self._wkst + until = self._until + bymonth = self._bymonth + byweekno = self._byweekno + byyearday = self._byyearday + byweekday = self._byweekday + byeaster = self._byeaster + bymonthday = self._bymonthday + bynmonthday = self._bynmonthday + bysetpos = self._bysetpos + byhour = self._byhour + byminute = self._byminute + bysecond = self._bysecond + + ii = _iterinfo(self) + ii.rebuild(year, month) + + getdayset = {YEARLY: ii.ydayset, + MONTHLY: ii.mdayset, + WEEKLY: ii.wdayset, + DAILY: ii.ddayset, + HOURLY: ii.ddayset, + MINUTELY: ii.ddayset, + SECONDLY: ii.ddayset}[freq] + + if freq < HOURLY: + timeset = self._timeset + else: + gettimeset = {HOURLY: ii.htimeset, + MINUTELY: ii.mtimeset, + SECONDLY: ii.stimeset}[freq] + if ((freq >= HOURLY and + self._byhour and hour not in self._byhour) or + (freq >= MINUTELY and + self._byminute and minute not in self._byminute) or + (freq >= SECONDLY and + self._bysecond and second not in self._bysecond)): + timeset = () + else: + timeset = gettimeset(hour, minute, second) + + total = 0 + count = self._count + while True: + # Get dayset with the right frequency + dayset, start, end = getdayset(year, month, day) + + # Do the "hard" work ;-) + filtered = False + for i in dayset[start:end]: + if ((bymonth and ii.mmask[i] not in bymonth) or + (byweekno and not ii.wnomask[i]) or + (byweekday and ii.wdaymask[i] not in byweekday) or + (ii.nwdaymask and not ii.nwdaymask[i]) or + (byeaster and not ii.eastermask[i]) or + ((bymonthday or bynmonthday) and + ii.mdaymask[i] not in bymonthday and + ii.nmdaymask[i] not in bynmonthday) or + (byyearday and + ((i < ii.yearlen and i+1 not in byyearday and + -ii.yearlen+i not in byyearday) or + (i >= ii.yearlen and i+1-ii.yearlen not in byyearday and + -ii.nextyearlen+i-ii.yearlen not in byyearday)))): + dayset[i] = None + filtered = True + + # Output results + if bysetpos and timeset: + poslist = [] + for pos in bysetpos: + if pos < 0: + daypos, timepos = divmod(pos, len(timeset)) + else: + daypos, timepos = divmod(pos-1, len(timeset)) + try: + i = [x for x in dayset[start:end] + if x is not None][daypos] + time = timeset[timepos] + except IndexError: + pass + else: + date = datetime.date.fromordinal(ii.yearordinal+i) + res = datetime.datetime.combine(date, time) + if res not in poslist: + poslist.append(res) + poslist.sort() + for res in poslist: + if until and res > until: + self._len = total + return + elif res >= self._dtstart: + if count is not None: + count -= 1 + if count < 0: + self._len = total + return + total += 1 + yield res + else: + for i in dayset[start:end]: + if i is not None: + date = datetime.date.fromordinal(ii.yearordinal + i) + for time in timeset: + res = datetime.datetime.combine(date, time) + if until and res > until: + self._len = total + return + elif res >= self._dtstart: + if count is not None: + count -= 1 + if count < 0: + self._len = total + return + + total += 1 + yield res + + # Handle frequency and interval + fixday = False + if freq == YEARLY: + year += interval + if year > datetime.MAXYEAR: + self._len = total + return + ii.rebuild(year, month) + elif freq == MONTHLY: + month += interval + if month > 12: + div, mod = divmod(month, 12) + month = mod + year += div + if month == 0: + month = 12 + year -= 1 + if year > datetime.MAXYEAR: + self._len = total + return + ii.rebuild(year, month) + elif freq == WEEKLY: + if wkst > weekday: + day += -(weekday+1+(6-wkst))+self._interval*7 + else: + day += -(weekday-wkst)+self._interval*7 + weekday = wkst + fixday = True + elif freq == DAILY: + day += interval + fixday = True + elif freq == HOURLY: + if filtered: + # Jump to one iteration before next day + hour += ((23-hour)//interval)*interval + + if byhour: + ndays, hour = self.__mod_distance(value=hour, + byxxx=self._byhour, + base=24) + else: + ndays, hour = divmod(hour+interval, 24) + + if ndays: + day += ndays + fixday = True + + timeset = gettimeset(hour, minute, second) + elif freq == MINUTELY: + if filtered: + # Jump to one iteration before next day + minute += ((1439-(hour*60+minute))//interval)*interval + + valid = False + rep_rate = (24*60) + for j in range(rep_rate // gcd(interval, rep_rate)): + if byminute: + nhours, minute = \ + self.__mod_distance(value=minute, + byxxx=self._byminute, + base=60) + else: + nhours, minute = divmod(minute+interval, 60) + + div, hour = divmod(hour+nhours, 24) + if div: + day += div + fixday = True + filtered = False + + if not byhour or hour in byhour: + valid = True + break + + if not valid: + raise ValueError('Invalid combination of interval and ' + + 'byhour resulting in empty rule.') + + timeset = gettimeset(hour, minute, second) + elif freq == SECONDLY: + if filtered: + # Jump to one iteration before next day + second += (((86399 - (hour * 3600 + minute * 60 + second)) + // interval) * interval) + + rep_rate = (24 * 3600) + valid = False + for j in range(0, rep_rate // gcd(interval, rep_rate)): + if bysecond: + nminutes, second = \ + self.__mod_distance(value=second, + byxxx=self._bysecond, + base=60) + else: + nminutes, second = divmod(second+interval, 60) + + div, minute = divmod(minute+nminutes, 60) + if div: + hour += div + div, hour = divmod(hour, 24) + if div: + day += div + fixday = True + + if ((not byhour or hour in byhour) and + (not byminute or minute in byminute) and + (not bysecond or second in bysecond)): + valid = True + break + + if not valid: + raise ValueError('Invalid combination of interval, ' + + 'byhour and byminute resulting in empty' + + ' rule.') + + timeset = gettimeset(hour, minute, second) + + if fixday and day > 28: + daysinmonth = calendar.monthrange(year, month)[1] + if day > daysinmonth: + while day > daysinmonth: + day -= daysinmonth + month += 1 + if month == 13: + month = 1 + year += 1 + if year > datetime.MAXYEAR: + self._len = total + return + daysinmonth = calendar.monthrange(year, month)[1] + ii.rebuild(year, month) + + def __construct_byset(self, start, byxxx, base): + """ + If a `BYXXX` sequence is passed to the constructor at the same level as + `FREQ` (e.g. `FREQ=HOURLY,BYHOUR={2,4,7},INTERVAL=3`), there are some + specifications which cannot be reached given some starting conditions. + + This occurs whenever the interval is not coprime with the base of a + given unit and the difference between the starting position and the + ending position is not coprime with the greatest common denominator + between the interval and the base. For example, with a FREQ of hourly + starting at 17:00 and an interval of 4, the only valid values for + BYHOUR would be {21, 1, 5, 9, 13, 17}, because 4 and 24 are not + coprime. + + :param start: + Specifies the starting position. + :param byxxx: + An iterable containing the list of allowed values. + :param base: + The largest allowable value for the specified frequency (e.g. + 24 hours, 60 minutes). + + This does not preserve the type of the iterable, returning a set, since + the values should be unique and the order is irrelevant, this will + speed up later lookups. + + In the event of an empty set, raises a :exception:`ValueError`, as this + results in an empty rrule. + """ + + cset = set() + + # Support a single byxxx value. + if isinstance(byxxx, integer_types): + byxxx = (byxxx, ) + + for num in byxxx: + i_gcd = gcd(self._interval, base) + # Use divmod rather than % because we need to wrap negative nums. + if i_gcd == 1 or divmod(num - start, i_gcd)[1] == 0: + cset.add(num) + + if len(cset) == 0: + raise ValueError("Invalid rrule byxxx generates an empty set.") + + return cset + + def __mod_distance(self, value, byxxx, base): + """ + Calculates the next value in a sequence where the `FREQ` parameter is + specified along with a `BYXXX` parameter at the same "level" + (e.g. `HOURLY` specified with `BYHOUR`). + + :param value: + The old value of the component. + :param byxxx: + The `BYXXX` set, which should have been generated by + `rrule._construct_byset`, or something else which checks that a + valid rule is present. + :param base: + The largest allowable value for the specified frequency (e.g. + 24 hours, 60 minutes). + + If a valid value is not found after `base` iterations (the maximum + number before the sequence would start to repeat), this raises a + :exception:`ValueError`, as no valid values were found. + + This returns a tuple of `divmod(n*interval, base)`, where `n` is the + smallest number of `interval` repetitions until the next specified + value in `byxxx` is found. + """ + accumulator = 0 + for ii in range(1, base + 1): + # Using divmod() over % to account for negative intervals + div, value = divmod(value + self._interval, base) + accumulator += div + if value in byxxx: + return (accumulator, value) + + +class _iterinfo(object): + __slots__ = ["rrule", "lastyear", "lastmonth", + "yearlen", "nextyearlen", "yearordinal", "yearweekday", + "mmask", "mrange", "mdaymask", "nmdaymask", + "wdaymask", "wnomask", "nwdaymask", "eastermask"] + + def __init__(self, rrule): + for attr in self.__slots__: + setattr(self, attr, None) + self.rrule = rrule + + def rebuild(self, year, month): + # Every mask is 7 days longer to handle cross-year weekly periods. + rr = self.rrule + if year != self.lastyear: + self.yearlen = 365 + calendar.isleap(year) + self.nextyearlen = 365 + calendar.isleap(year + 1) + firstyday = datetime.date(year, 1, 1) + self.yearordinal = firstyday.toordinal() + self.yearweekday = firstyday.weekday() + + wday = datetime.date(year, 1, 1).weekday() + if self.yearlen == 365: + self.mmask = M365MASK + self.mdaymask = MDAY365MASK + self.nmdaymask = NMDAY365MASK + self.wdaymask = WDAYMASK[wday:] + self.mrange = M365RANGE + else: + self.mmask = M366MASK + self.mdaymask = MDAY366MASK + self.nmdaymask = NMDAY366MASK + self.wdaymask = WDAYMASK[wday:] + self.mrange = M366RANGE + + if not rr._byweekno: + self.wnomask = None + else: + self.wnomask = [0]*(self.yearlen+7) + # no1wkst = firstwkst = self.wdaymask.index(rr._wkst) + no1wkst = firstwkst = (7-self.yearweekday+rr._wkst) % 7 + if no1wkst >= 4: + no1wkst = 0 + # Number of days in the year, plus the days we got + # from last year. + wyearlen = self.yearlen+(self.yearweekday-rr._wkst) % 7 + else: + # Number of days in the year, minus the days we + # left in last year. + wyearlen = self.yearlen-no1wkst + div, mod = divmod(wyearlen, 7) + numweeks = div+mod//4 + for n in rr._byweekno: + if n < 0: + n += numweeks+1 + if not (0 < n <= numweeks): + continue + if n > 1: + i = no1wkst+(n-1)*7 + if no1wkst != firstwkst: + i -= 7-firstwkst + else: + i = no1wkst + for j in range(7): + self.wnomask[i] = 1 + i += 1 + if self.wdaymask[i] == rr._wkst: + break + if 1 in rr._byweekno: + # Check week number 1 of next year as well + # TODO: Check -numweeks for next year. + i = no1wkst+numweeks*7 + if no1wkst != firstwkst: + i -= 7-firstwkst + if i < self.yearlen: + # If week starts in next year, we + # don't care about it. + for j in range(7): + self.wnomask[i] = 1 + i += 1 + if self.wdaymask[i] == rr._wkst: + break + if no1wkst: + # Check last week number of last year as + # well. If no1wkst is 0, either the year + # started on week start, or week number 1 + # got days from last year, so there are no + # days from last year's last week number in + # this year. + if -1 not in rr._byweekno: + lyearweekday = datetime.date(year-1, 1, 1).weekday() + lno1wkst = (7-lyearweekday+rr._wkst) % 7 + lyearlen = 365+calendar.isleap(year-1) + if lno1wkst >= 4: + lno1wkst = 0 + lnumweeks = 52+(lyearlen + + (lyearweekday-rr._wkst) % 7) % 7//4 + else: + lnumweeks = 52+(self.yearlen-no1wkst) % 7//4 + else: + lnumweeks = -1 + if lnumweeks in rr._byweekno: + for i in range(no1wkst): + self.wnomask[i] = 1 + + if (rr._bynweekday and (month != self.lastmonth or + year != self.lastyear)): + ranges = [] + if rr._freq == YEARLY: + if rr._bymonth: + for month in rr._bymonth: + ranges.append(self.mrange[month-1:month+1]) + else: + ranges = [(0, self.yearlen)] + elif rr._freq == MONTHLY: + ranges = [self.mrange[month-1:month+1]] + if ranges: + # Weekly frequency won't get here, so we may not + # care about cross-year weekly periods. + self.nwdaymask = [0]*self.yearlen + for first, last in ranges: + last -= 1 + for wday, n in rr._bynweekday: + if n < 0: + i = last+(n+1)*7 + i -= (self.wdaymask[i]-wday) % 7 + else: + i = first+(n-1)*7 + i += (7-self.wdaymask[i]+wday) % 7 + if first <= i <= last: + self.nwdaymask[i] = 1 + + if rr._byeaster: + self.eastermask = [0]*(self.yearlen+7) + eyday = easter.easter(year).toordinal()-self.yearordinal + for offset in rr._byeaster: + self.eastermask[eyday+offset] = 1 + + self.lastyear = year + self.lastmonth = month + + def ydayset(self, year, month, day): + return list(range(self.yearlen)), 0, self.yearlen + + def mdayset(self, year, month, day): + dset = [None]*self.yearlen + start, end = self.mrange[month-1:month+1] + for i in range(start, end): + dset[i] = i + return dset, start, end + + def wdayset(self, year, month, day): + # We need to handle cross-year weeks here. + dset = [None]*(self.yearlen+7) + i = datetime.date(year, month, day).toordinal()-self.yearordinal + start = i + for j in range(7): + dset[i] = i + i += 1 + # if (not (0 <= i < self.yearlen) or + # self.wdaymask[i] == self.rrule._wkst): + # This will cross the year boundary, if necessary. + if self.wdaymask[i] == self.rrule._wkst: + break + return dset, start, i + + def ddayset(self, year, month, day): + dset = [None] * self.yearlen + i = datetime.date(year, month, day).toordinal() - self.yearordinal + dset[i] = i + return dset, i, i + 1 + + def htimeset(self, hour, minute, second): + tset = [] + rr = self.rrule + for minute in rr._byminute: + for second in rr._bysecond: + tset.append(datetime.time(hour, minute, second, + tzinfo=rr._tzinfo)) + tset.sort() + return tset + + def mtimeset(self, hour, minute, second): + tset = [] + rr = self.rrule + for second in rr._bysecond: + tset.append(datetime.time(hour, minute, second, tzinfo=rr._tzinfo)) + tset.sort() + return tset + + def stimeset(self, hour, minute, second): + return (datetime.time(hour, minute, second, + tzinfo=self.rrule._tzinfo),) + + +class rruleset(rrulebase): + """ The rruleset type allows more complex recurrence setups, mixing + multiple rules, dates, exclusion rules, and exclusion dates. The type + constructor takes the following keyword arguments: + + :param cache: If True, caching of results will be enabled, improving + performance of multiple queries considerably. """ + + class _genitem(object): + def __init__(self, genlist, gen): + try: + self.dt = advance_iterator(gen) + genlist.append(self) + except StopIteration: + pass + self.genlist = genlist + self.gen = gen + + def __next__(self): + try: + self.dt = advance_iterator(self.gen) + except StopIteration: + if self.genlist[0] is self: + heapq.heappop(self.genlist) + else: + self.genlist.remove(self) + heapq.heapify(self.genlist) + + next = __next__ + + def __lt__(self, other): + return self.dt < other.dt + + def __gt__(self, other): + return self.dt > other.dt + + def __eq__(self, other): + return self.dt == other.dt + + def __ne__(self, other): + return self.dt != other.dt + + def __init__(self, cache=False): + super(rruleset, self).__init__(cache) + self._rrule = [] + self._rdate = [] + self._exrule = [] + self._exdate = [] + + @_invalidates_cache + def rrule(self, rrule): + """ Include the given :py:class:`rrule` instance in the recurrence set + generation. """ + self._rrule.append(rrule) + + @_invalidates_cache + def rdate(self, rdate): + """ Include the given :py:class:`datetime` instance in the recurrence + set generation. """ + self._rdate.append(rdate) + + @_invalidates_cache + def exrule(self, exrule): + """ Include the given rrule instance in the recurrence set exclusion + list. Dates which are part of the given recurrence rules will not + be generated, even if some inclusive rrule or rdate matches them. + """ + self._exrule.append(exrule) + + @_invalidates_cache + def exdate(self, exdate): + """ Include the given datetime instance in the recurrence set + exclusion list. Dates included that way will not be generated, + even if some inclusive rrule or rdate matches them. """ + self._exdate.append(exdate) + + def _iter(self): + rlist = [] + self._rdate.sort() + self._genitem(rlist, iter(self._rdate)) + for gen in [iter(x) for x in self._rrule]: + self._genitem(rlist, gen) + exlist = [] + self._exdate.sort() + self._genitem(exlist, iter(self._exdate)) + for gen in [iter(x) for x in self._exrule]: + self._genitem(exlist, gen) + lastdt = None + total = 0 + heapq.heapify(rlist) + heapq.heapify(exlist) + while rlist: + ritem = rlist[0] + if not lastdt or lastdt != ritem.dt: + while exlist and exlist[0] < ritem: + exitem = exlist[0] + advance_iterator(exitem) + if exlist and exlist[0] is exitem: + heapq.heapreplace(exlist, exitem) + if not exlist or ritem != exlist[0]: + total += 1 + yield ritem.dt + lastdt = ritem.dt + advance_iterator(ritem) + if rlist and rlist[0] is ritem: + heapq.heapreplace(rlist, ritem) + self._len = total + + + + +class _rrulestr(object): + """ Parses a string representation of a recurrence rule or set of + recurrence rules. + + :param s: + Required, a string defining one or more recurrence rules. + + :param dtstart: + If given, used as the default recurrence start if not specified in the + rule string. + + :param cache: + If set ``True`` caching of results will be enabled, improving + performance of multiple queries considerably. + + :param unfold: + If set ``True`` indicates that a rule string is split over more + than one line and should be joined before processing. + + :param forceset: + If set ``True`` forces a :class:`dateutil.rrule.rruleset` to + be returned. + + :param compatible: + If set ``True`` forces ``unfold`` and ``forceset`` to be ``True``. + + :param ignoretz: + If set ``True``, time zones in parsed strings are ignored and a naive + :class:`datetime.datetime` object is returned. + + :param tzids: + If given, a callable or mapping used to retrieve a + :class:`datetime.tzinfo` from a string representation. + Defaults to :func:`dateutil.tz.gettz`. + + :param tzinfos: + Additional time zone names / aliases which may be present in a string + representation. See :func:`dateutil.parser.parse` for more + information. + + :return: + Returns a :class:`dateutil.rrule.rruleset` or + :class:`dateutil.rrule.rrule` + """ + + _freq_map = {"YEARLY": YEARLY, + "MONTHLY": MONTHLY, + "WEEKLY": WEEKLY, + "DAILY": DAILY, + "HOURLY": HOURLY, + "MINUTELY": MINUTELY, + "SECONDLY": SECONDLY} + + _weekday_map = {"MO": 0, "TU": 1, "WE": 2, "TH": 3, + "FR": 4, "SA": 5, "SU": 6} + + def _handle_int(self, rrkwargs, name, value, **kwargs): + rrkwargs[name.lower()] = int(value) + + def _handle_int_list(self, rrkwargs, name, value, **kwargs): + rrkwargs[name.lower()] = [int(x) for x in value.split(',')] + + _handle_INTERVAL = _handle_int + _handle_COUNT = _handle_int + _handle_BYSETPOS = _handle_int_list + _handle_BYMONTH = _handle_int_list + _handle_BYMONTHDAY = _handle_int_list + _handle_BYYEARDAY = _handle_int_list + _handle_BYEASTER = _handle_int_list + _handle_BYWEEKNO = _handle_int_list + _handle_BYHOUR = _handle_int_list + _handle_BYMINUTE = _handle_int_list + _handle_BYSECOND = _handle_int_list + + def _handle_FREQ(self, rrkwargs, name, value, **kwargs): + rrkwargs["freq"] = self._freq_map[value] + + def _handle_UNTIL(self, rrkwargs, name, value, **kwargs): + global parser + if not parser: + from dateutil import parser + try: + rrkwargs["until"] = parser.parse(value, + ignoretz=kwargs.get("ignoretz"), + tzinfos=kwargs.get("tzinfos")) + except ValueError: + raise ValueError("invalid until date") + + def _handle_WKST(self, rrkwargs, name, value, **kwargs): + rrkwargs["wkst"] = self._weekday_map[value] + + def _handle_BYWEEKDAY(self, rrkwargs, name, value, **kwargs): + """ + Two ways to specify this: +1MO or MO(+1) + """ + l = [] + for wday in value.split(','): + if '(' in wday: + # If it's of the form TH(+1), etc. + splt = wday.split('(') + w = splt[0] + n = int(splt[1][:-1]) + elif len(wday): + # If it's of the form +1MO + for i in range(len(wday)): + if wday[i] not in '+-0123456789': + break + n = wday[:i] or None + w = wday[i:] + if n: + n = int(n) + else: + raise ValueError("Invalid (empty) BYDAY specification.") + + l.append(weekdays[self._weekday_map[w]](n)) + rrkwargs["byweekday"] = l + + _handle_BYDAY = _handle_BYWEEKDAY + + def _parse_rfc_rrule(self, line, + dtstart=None, + cache=False, + ignoretz=False, + tzinfos=None): + if line.find(':') != -1: + name, value = line.split(':') + if name != "RRULE": + raise ValueError("unknown parameter name") + else: + value = line + rrkwargs = {} + for pair in value.split(';'): + name, value = pair.split('=') + name = name.upper() + value = value.upper() + try: + getattr(self, "_handle_"+name)(rrkwargs, name, value, + ignoretz=ignoretz, + tzinfos=tzinfos) + except AttributeError: + raise ValueError("unknown parameter '%s'" % name) + except (KeyError, ValueError): + raise ValueError("invalid '%s': %s" % (name, value)) + return rrule(dtstart=dtstart, cache=cache, **rrkwargs) + + def _parse_date_value(self, date_value, parms, rule_tzids, + ignoretz, tzids, tzinfos): + global parser + if not parser: + from dateutil import parser + + datevals = [] + value_found = False + TZID = None + + for parm in parms: + if parm.startswith("TZID="): + try: + tzkey = rule_tzids[parm.split('TZID=')[-1]] + except KeyError: + continue + if tzids is None: + from . import tz + tzlookup = tz.gettz + elif callable(tzids): + tzlookup = tzids + else: + tzlookup = getattr(tzids, 'get', None) + if tzlookup is None: + msg = ('tzids must be a callable, mapping, or None, ' + 'not %s' % tzids) + raise ValueError(msg) + + TZID = tzlookup(tzkey) + continue + + # RFC 5445 3.8.2.4: The VALUE parameter is optional, but may be found + # only once. + if parm not in {"VALUE=DATE-TIME", "VALUE=DATE"}: + raise ValueError("unsupported parm: " + parm) + else: + if value_found: + msg = ("Duplicate value parameter found in: " + parm) + raise ValueError(msg) + value_found = True + + for datestr in date_value.split(','): + date = parser.parse(datestr, ignoretz=ignoretz, tzinfos=tzinfos) + if TZID is not None: + if date.tzinfo is None: + date = date.replace(tzinfo=TZID) + else: + raise ValueError('DTSTART/EXDATE specifies multiple timezone') + datevals.append(date) + + return datevals + + def _parse_rfc(self, s, + dtstart=None, + cache=False, + unfold=False, + forceset=False, + compatible=False, + ignoretz=False, + tzids=None, + tzinfos=None): + global parser + if compatible: + forceset = True + unfold = True + + TZID_NAMES = dict(map( + lambda x: (x.upper(), x), + re.findall('TZID=(?P[^:]+):', s) + )) + s = s.upper() + if not s.strip(): + raise ValueError("empty string") + if unfold: + lines = s.splitlines() + i = 0 + while i < len(lines): + line = lines[i].rstrip() + if not line: + del lines[i] + elif i > 0 and line[0] == " ": + lines[i-1] += line[1:] + del lines[i] + else: + i += 1 + else: + lines = s.split() + if (not forceset and len(lines) == 1 and (s.find(':') == -1 or + s.startswith('RRULE:'))): + return self._parse_rfc_rrule(lines[0], cache=cache, + dtstart=dtstart, ignoretz=ignoretz, + tzinfos=tzinfos) + else: + rrulevals = [] + rdatevals = [] + exrulevals = [] + exdatevals = [] + for line in lines: + if not line: + continue + if line.find(':') == -1: + name = "RRULE" + value = line + else: + name, value = line.split(':', 1) + parms = name.split(';') + if not parms: + raise ValueError("empty property name") + name = parms[0] + parms = parms[1:] + if name == "RRULE": + for parm in parms: + raise ValueError("unsupported RRULE parm: "+parm) + rrulevals.append(value) + elif name == "RDATE": + for parm in parms: + if parm != "VALUE=DATE-TIME": + raise ValueError("unsupported RDATE parm: "+parm) + rdatevals.append(value) + elif name == "EXRULE": + for parm in parms: + raise ValueError("unsupported EXRULE parm: "+parm) + exrulevals.append(value) + elif name == "EXDATE": + exdatevals.extend( + self._parse_date_value(value, parms, + TZID_NAMES, ignoretz, + tzids, tzinfos) + ) + elif name == "DTSTART": + dtvals = self._parse_date_value(value, parms, TZID_NAMES, + ignoretz, tzids, tzinfos) + if len(dtvals) != 1: + raise ValueError("Multiple DTSTART values specified:" + + value) + dtstart = dtvals[0] + else: + raise ValueError("unsupported property: "+name) + if (forceset or len(rrulevals) > 1 or rdatevals + or exrulevals or exdatevals): + if not parser and (rdatevals or exdatevals): + from dateutil import parser + rset = rruleset(cache=cache) + for value in rrulevals: + rset.rrule(self._parse_rfc_rrule(value, dtstart=dtstart, + ignoretz=ignoretz, + tzinfos=tzinfos)) + for value in rdatevals: + for datestr in value.split(','): + rset.rdate(parser.parse(datestr, + ignoretz=ignoretz, + tzinfos=tzinfos)) + for value in exrulevals: + rset.exrule(self._parse_rfc_rrule(value, dtstart=dtstart, + ignoretz=ignoretz, + tzinfos=tzinfos)) + for value in exdatevals: + rset.exdate(value) + if compatible and dtstart: + rset.rdate(dtstart) + return rset + else: + return self._parse_rfc_rrule(rrulevals[0], + dtstart=dtstart, + cache=cache, + ignoretz=ignoretz, + tzinfos=tzinfos) + + def __call__(self, s, **kwargs): + return self._parse_rfc(s, **kwargs) + + +rrulestr = _rrulestr() + +# vim:ts=4:sw=4:et diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..af1352c47292f4eebc5cae8da45641b5544558e3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/__init__.py @@ -0,0 +1,12 @@ +# -*- coding: utf-8 -*- +from .tz import * +from .tz import __doc__ + +__all__ = ["tzutc", "tzoffset", "tzlocal", "tzfile", "tzrange", + "tzstr", "tzical", "tzwin", "tzwinlocal", "gettz", + "enfold", "datetime_ambiguous", "datetime_exists", + "resolve_imaginary", "UTC", "DeprecatedTzFormatWarning"] + + +class DeprecatedTzFormatWarning(Warning): + """Warning raised when time zones are parsed from deprecated formats.""" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/_common.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/_common.py new file mode 100644 index 0000000000000000000000000000000000000000..e6ac11831522b266114d5b68ee1da298e3aeb14a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/_common.py @@ -0,0 +1,419 @@ +from six import PY2 + +from functools import wraps + +from datetime import datetime, timedelta, tzinfo + + +ZERO = timedelta(0) + +__all__ = ['tzname_in_python2', 'enfold'] + + +def tzname_in_python2(namefunc): + """Change unicode output into bytestrings in Python 2 + + tzname() API changed in Python 3. It used to return bytes, but was changed + to unicode strings + """ + if PY2: + @wraps(namefunc) + def adjust_encoding(*args, **kwargs): + name = namefunc(*args, **kwargs) + if name is not None: + name = name.encode() + + return name + + return adjust_encoding + else: + return namefunc + + +# The following is adapted from Alexander Belopolsky's tz library +# https://github.com/abalkin/tz +if hasattr(datetime, 'fold'): + # This is the pre-python 3.6 fold situation + def enfold(dt, fold=1): + """ + Provides a unified interface for assigning the ``fold`` attribute to + datetimes both before and after the implementation of PEP-495. + + :param fold: + The value for the ``fold`` attribute in the returned datetime. This + should be either 0 or 1. + + :return: + Returns an object for which ``getattr(dt, 'fold', 0)`` returns + ``fold`` for all versions of Python. In versions prior to + Python 3.6, this is a ``_DatetimeWithFold`` object, which is a + subclass of :py:class:`datetime.datetime` with the ``fold`` + attribute added, if ``fold`` is 1. + + .. versionadded:: 2.6.0 + """ + return dt.replace(fold=fold) + +else: + class _DatetimeWithFold(datetime): + """ + This is a class designed to provide a PEP 495-compliant interface for + Python versions before 3.6. It is used only for dates in a fold, so + the ``fold`` attribute is fixed at ``1``. + + .. versionadded:: 2.6.0 + """ + __slots__ = () + + def replace(self, *args, **kwargs): + """ + Return a datetime with the same attributes, except for those + attributes given new values by whichever keyword arguments are + specified. Note that tzinfo=None can be specified to create a naive + datetime from an aware datetime with no conversion of date and time + data. + + This is reimplemented in ``_DatetimeWithFold`` because pypy3 will + return a ``datetime.datetime`` even if ``fold`` is unchanged. + """ + argnames = ( + 'year', 'month', 'day', 'hour', 'minute', 'second', + 'microsecond', 'tzinfo' + ) + + for arg, argname in zip(args, argnames): + if argname in kwargs: + raise TypeError('Duplicate argument: {}'.format(argname)) + + kwargs[argname] = arg + + for argname in argnames: + if argname not in kwargs: + kwargs[argname] = getattr(self, argname) + + dt_class = self.__class__ if kwargs.get('fold', 1) else datetime + + return dt_class(**kwargs) + + @property + def fold(self): + return 1 + + def enfold(dt, fold=1): + """ + Provides a unified interface for assigning the ``fold`` attribute to + datetimes both before and after the implementation of PEP-495. + + :param fold: + The value for the ``fold`` attribute in the returned datetime. This + should be either 0 or 1. + + :return: + Returns an object for which ``getattr(dt, 'fold', 0)`` returns + ``fold`` for all versions of Python. In versions prior to + Python 3.6, this is a ``_DatetimeWithFold`` object, which is a + subclass of :py:class:`datetime.datetime` with the ``fold`` + attribute added, if ``fold`` is 1. + + .. versionadded:: 2.6.0 + """ + if getattr(dt, 'fold', 0) == fold: + return dt + + args = dt.timetuple()[:6] + args += (dt.microsecond, dt.tzinfo) + + if fold: + return _DatetimeWithFold(*args) + else: + return datetime(*args) + + +def _validate_fromutc_inputs(f): + """ + The CPython version of ``fromutc`` checks that the input is a ``datetime`` + object and that ``self`` is attached as its ``tzinfo``. + """ + @wraps(f) + def fromutc(self, dt): + if not isinstance(dt, datetime): + raise TypeError("fromutc() requires a datetime argument") + if dt.tzinfo is not self: + raise ValueError("dt.tzinfo is not self") + + return f(self, dt) + + return fromutc + + +class _tzinfo(tzinfo): + """ + Base class for all ``dateutil`` ``tzinfo`` objects. + """ + + def is_ambiguous(self, dt): + """ + Whether or not the "wall time" of a given datetime is ambiguous in this + zone. + + :param dt: + A :py:class:`datetime.datetime`, naive or time zone aware. + + + :return: + Returns ``True`` if ambiguous, ``False`` otherwise. + + .. versionadded:: 2.6.0 + """ + + dt = dt.replace(tzinfo=self) + + wall_0 = enfold(dt, fold=0) + wall_1 = enfold(dt, fold=1) + + same_offset = wall_0.utcoffset() == wall_1.utcoffset() + same_dt = wall_0.replace(tzinfo=None) == wall_1.replace(tzinfo=None) + + return same_dt and not same_offset + + def _fold_status(self, dt_utc, dt_wall): + """ + Determine the fold status of a "wall" datetime, given a representation + of the same datetime as a (naive) UTC datetime. This is calculated based + on the assumption that ``dt.utcoffset() - dt.dst()`` is constant for all + datetimes, and that this offset is the actual number of hours separating + ``dt_utc`` and ``dt_wall``. + + :param dt_utc: + Representation of the datetime as UTC + + :param dt_wall: + Representation of the datetime as "wall time". This parameter must + either have a `fold` attribute or have a fold-naive + :class:`datetime.tzinfo` attached, otherwise the calculation may + fail. + """ + if self.is_ambiguous(dt_wall): + delta_wall = dt_wall - dt_utc + _fold = int(delta_wall == (dt_utc.utcoffset() - dt_utc.dst())) + else: + _fold = 0 + + return _fold + + def _fold(self, dt): + return getattr(dt, 'fold', 0) + + def _fromutc(self, dt): + """ + Given a timezone-aware datetime in a given timezone, calculates a + timezone-aware datetime in a new timezone. + + Since this is the one time that we *know* we have an unambiguous + datetime object, we take this opportunity to determine whether the + datetime is ambiguous and in a "fold" state (e.g. if it's the first + occurrence, chronologically, of the ambiguous datetime). + + :param dt: + A timezone-aware :class:`datetime.datetime` object. + """ + + # Re-implement the algorithm from Python's datetime.py + dtoff = dt.utcoffset() + if dtoff is None: + raise ValueError("fromutc() requires a non-None utcoffset() " + "result") + + # The original datetime.py code assumes that `dst()` defaults to + # zero during ambiguous times. PEP 495 inverts this presumption, so + # for pre-PEP 495 versions of python, we need to tweak the algorithm. + dtdst = dt.dst() + if dtdst is None: + raise ValueError("fromutc() requires a non-None dst() result") + delta = dtoff - dtdst + + dt += delta + # Set fold=1 so we can default to being in the fold for + # ambiguous dates. + dtdst = enfold(dt, fold=1).dst() + if dtdst is None: + raise ValueError("fromutc(): dt.dst gave inconsistent " + "results; cannot convert") + return dt + dtdst + + @_validate_fromutc_inputs + def fromutc(self, dt): + """ + Given a timezone-aware datetime in a given timezone, calculates a + timezone-aware datetime in a new timezone. + + Since this is the one time that we *know* we have an unambiguous + datetime object, we take this opportunity to determine whether the + datetime is ambiguous and in a "fold" state (e.g. if it's the first + occurrence, chronologically, of the ambiguous datetime). + + :param dt: + A timezone-aware :class:`datetime.datetime` object. + """ + dt_wall = self._fromutc(dt) + + # Calculate the fold status given the two datetimes. + _fold = self._fold_status(dt, dt_wall) + + # Set the default fold value for ambiguous dates + return enfold(dt_wall, fold=_fold) + + +class tzrangebase(_tzinfo): + """ + This is an abstract base class for time zones represented by an annual + transition into and out of DST. Child classes should implement the following + methods: + + * ``__init__(self, *args, **kwargs)`` + * ``transitions(self, year)`` - this is expected to return a tuple of + datetimes representing the DST on and off transitions in standard + time. + + A fully initialized ``tzrangebase`` subclass should also provide the + following attributes: + * ``hasdst``: Boolean whether or not the zone uses DST. + * ``_dst_offset`` / ``_std_offset``: :class:`datetime.timedelta` objects + representing the respective UTC offsets. + * ``_dst_abbr`` / ``_std_abbr``: Strings representing the timezone short + abbreviations in DST and STD, respectively. + * ``_hasdst``: Whether or not the zone has DST. + + .. versionadded:: 2.6.0 + """ + def __init__(self): + raise NotImplementedError('tzrangebase is an abstract base class') + + def utcoffset(self, dt): + isdst = self._isdst(dt) + + if isdst is None: + return None + elif isdst: + return self._dst_offset + else: + return self._std_offset + + def dst(self, dt): + isdst = self._isdst(dt) + + if isdst is None: + return None + elif isdst: + return self._dst_base_offset + else: + return ZERO + + @tzname_in_python2 + def tzname(self, dt): + if self._isdst(dt): + return self._dst_abbr + else: + return self._std_abbr + + def fromutc(self, dt): + """ Given a datetime in UTC, return local time """ + if not isinstance(dt, datetime): + raise TypeError("fromutc() requires a datetime argument") + + if dt.tzinfo is not self: + raise ValueError("dt.tzinfo is not self") + + # Get transitions - if there are none, fixed offset + transitions = self.transitions(dt.year) + if transitions is None: + return dt + self.utcoffset(dt) + + # Get the transition times in UTC + dston, dstoff = transitions + + dston -= self._std_offset + dstoff -= self._std_offset + + utc_transitions = (dston, dstoff) + dt_utc = dt.replace(tzinfo=None) + + isdst = self._naive_isdst(dt_utc, utc_transitions) + + if isdst: + dt_wall = dt + self._dst_offset + else: + dt_wall = dt + self._std_offset + + _fold = int(not isdst and self.is_ambiguous(dt_wall)) + + return enfold(dt_wall, fold=_fold) + + def is_ambiguous(self, dt): + """ + Whether or not the "wall time" of a given datetime is ambiguous in this + zone. + + :param dt: + A :py:class:`datetime.datetime`, naive or time zone aware. + + + :return: + Returns ``True`` if ambiguous, ``False`` otherwise. + + .. versionadded:: 2.6.0 + """ + if not self.hasdst: + return False + + start, end = self.transitions(dt.year) + + dt = dt.replace(tzinfo=None) + return (end <= dt < end + self._dst_base_offset) + + def _isdst(self, dt): + if not self.hasdst: + return False + elif dt is None: + return None + + transitions = self.transitions(dt.year) + + if transitions is None: + return False + + dt = dt.replace(tzinfo=None) + + isdst = self._naive_isdst(dt, transitions) + + # Handle ambiguous dates + if not isdst and self.is_ambiguous(dt): + return not self._fold(dt) + else: + return isdst + + def _naive_isdst(self, dt, transitions): + dston, dstoff = transitions + + dt = dt.replace(tzinfo=None) + + if dston < dstoff: + isdst = dston <= dt < dstoff + else: + isdst = not dstoff <= dt < dston + + return isdst + + @property + def _dst_base_offset(self): + return self._dst_offset - self._std_offset + + __hash__ = None + + def __ne__(self, other): + return not (self == other) + + def __repr__(self): + return "%s(...)" % self.__class__.__name__ + + __reduce__ = object.__reduce__ diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/_factories.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/_factories.py new file mode 100644 index 0000000000000000000000000000000000000000..f8a65891a023ebf9eb0c24d391ba67541b7133f1 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/_factories.py @@ -0,0 +1,80 @@ +from datetime import timedelta +import weakref +from collections import OrderedDict + +from six.moves import _thread + + +class _TzSingleton(type): + def __init__(cls, *args, **kwargs): + cls.__instance = None + super(_TzSingleton, cls).__init__(*args, **kwargs) + + def __call__(cls): + if cls.__instance is None: + cls.__instance = super(_TzSingleton, cls).__call__() + return cls.__instance + + +class _TzFactory(type): + def instance(cls, *args, **kwargs): + """Alternate constructor that returns a fresh instance""" + return type.__call__(cls, *args, **kwargs) + + +class _TzOffsetFactory(_TzFactory): + def __init__(cls, *args, **kwargs): + cls.__instances = weakref.WeakValueDictionary() + cls.__strong_cache = OrderedDict() + cls.__strong_cache_size = 8 + + cls._cache_lock = _thread.allocate_lock() + + def __call__(cls, name, offset): + if isinstance(offset, timedelta): + key = (name, offset.total_seconds()) + else: + key = (name, offset) + + instance = cls.__instances.get(key, None) + if instance is None: + instance = cls.__instances.setdefault(key, + cls.instance(name, offset)) + + # This lock may not be necessary in Python 3. See GH issue #901 + with cls._cache_lock: + cls.__strong_cache[key] = cls.__strong_cache.pop(key, instance) + + # Remove an item if the strong cache is overpopulated + if len(cls.__strong_cache) > cls.__strong_cache_size: + cls.__strong_cache.popitem(last=False) + + return instance + + +class _TzStrFactory(_TzFactory): + def __init__(cls, *args, **kwargs): + cls.__instances = weakref.WeakValueDictionary() + cls.__strong_cache = OrderedDict() + cls.__strong_cache_size = 8 + + cls.__cache_lock = _thread.allocate_lock() + + def __call__(cls, s, posix_offset=False): + key = (s, posix_offset) + instance = cls.__instances.get(key, None) + + if instance is None: + instance = cls.__instances.setdefault(key, + cls.instance(s, posix_offset)) + + # This lock may not be necessary in Python 3. See GH issue #901 + with cls.__cache_lock: + cls.__strong_cache[key] = cls.__strong_cache.pop(key, instance) + + # Remove an item if the strong cache is overpopulated + if len(cls.__strong_cache) > cls.__strong_cache_size: + cls.__strong_cache.popitem(last=False) + + return instance + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/tz.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/tz.py new file mode 100644 index 0000000000000000000000000000000000000000..617591446bd92eb1cc7b7d67fa3f17435e691cdd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/tz.py @@ -0,0 +1,1849 @@ +# -*- coding: utf-8 -*- +""" +This module offers timezone implementations subclassing the abstract +:py:class:`datetime.tzinfo` type. There are classes to handle tzfile format +files (usually are in :file:`/etc/localtime`, :file:`/usr/share/zoneinfo`, +etc), TZ environment string (in all known formats), given ranges (with help +from relative deltas), local machine timezone, fixed offset timezone, and UTC +timezone. +""" +import datetime +import struct +import time +import sys +import os +import bisect +import weakref +from collections import OrderedDict + +import six +from six import string_types +from six.moves import _thread +from ._common import tzname_in_python2, _tzinfo +from ._common import tzrangebase, enfold +from ._common import _validate_fromutc_inputs + +from ._factories import _TzSingleton, _TzOffsetFactory +from ._factories import _TzStrFactory +try: + from .win import tzwin, tzwinlocal +except ImportError: + tzwin = tzwinlocal = None + +# For warning about rounding tzinfo +from warnings import warn + +ZERO = datetime.timedelta(0) +EPOCH = datetime.datetime(1970, 1, 1, 0, 0) +EPOCHORDINAL = EPOCH.toordinal() + + +@six.add_metaclass(_TzSingleton) +class tzutc(datetime.tzinfo): + """ + This is a tzinfo object that represents the UTC time zone. + + **Examples:** + + .. doctest:: + + >>> from datetime import * + >>> from dateutil.tz import * + + >>> datetime.now() + datetime.datetime(2003, 9, 27, 9, 40, 1, 521290) + + >>> datetime.now(tzutc()) + datetime.datetime(2003, 9, 27, 12, 40, 12, 156379, tzinfo=tzutc()) + + >>> datetime.now(tzutc()).tzname() + 'UTC' + + .. versionchanged:: 2.7.0 + ``tzutc()`` is now a singleton, so the result of ``tzutc()`` will + always return the same object. + + .. doctest:: + + >>> from dateutil.tz import tzutc, UTC + >>> tzutc() is tzutc() + True + >>> tzutc() is UTC + True + """ + def utcoffset(self, dt): + return ZERO + + def dst(self, dt): + return ZERO + + @tzname_in_python2 + def tzname(self, dt): + return "UTC" + + def is_ambiguous(self, dt): + """ + Whether or not the "wall time" of a given datetime is ambiguous in this + zone. + + :param dt: + A :py:class:`datetime.datetime`, naive or time zone aware. + + + :return: + Returns ``True`` if ambiguous, ``False`` otherwise. + + .. versionadded:: 2.6.0 + """ + return False + + @_validate_fromutc_inputs + def fromutc(self, dt): + """ + Fast track version of fromutc() returns the original ``dt`` object for + any valid :py:class:`datetime.datetime` object. + """ + return dt + + def __eq__(self, other): + if not isinstance(other, (tzutc, tzoffset)): + return NotImplemented + + return (isinstance(other, tzutc) or + (isinstance(other, tzoffset) and other._offset == ZERO)) + + __hash__ = None + + def __ne__(self, other): + return not (self == other) + + def __repr__(self): + return "%s()" % self.__class__.__name__ + + __reduce__ = object.__reduce__ + + +#: Convenience constant providing a :class:`tzutc()` instance +#: +#: .. versionadded:: 2.7.0 +UTC = tzutc() + + +@six.add_metaclass(_TzOffsetFactory) +class tzoffset(datetime.tzinfo): + """ + A simple class for representing a fixed offset from UTC. + + :param name: + The timezone name, to be returned when ``tzname()`` is called. + :param offset: + The time zone offset in seconds, or (since version 2.6.0, represented + as a :py:class:`datetime.timedelta` object). + """ + def __init__(self, name, offset): + self._name = name + + try: + # Allow a timedelta + offset = offset.total_seconds() + except (TypeError, AttributeError): + pass + + self._offset = datetime.timedelta(seconds=_get_supported_offset(offset)) + + def utcoffset(self, dt): + return self._offset + + def dst(self, dt): + return ZERO + + @tzname_in_python2 + def tzname(self, dt): + return self._name + + @_validate_fromutc_inputs + def fromutc(self, dt): + return dt + self._offset + + def is_ambiguous(self, dt): + """ + Whether or not the "wall time" of a given datetime is ambiguous in this + zone. + + :param dt: + A :py:class:`datetime.datetime`, naive or time zone aware. + :return: + Returns ``True`` if ambiguous, ``False`` otherwise. + + .. versionadded:: 2.6.0 + """ + return False + + def __eq__(self, other): + if not isinstance(other, tzoffset): + return NotImplemented + + return self._offset == other._offset + + __hash__ = None + + def __ne__(self, other): + return not (self == other) + + def __repr__(self): + return "%s(%s, %s)" % (self.__class__.__name__, + repr(self._name), + int(self._offset.total_seconds())) + + __reduce__ = object.__reduce__ + + +class tzlocal(_tzinfo): + """ + A :class:`tzinfo` subclass built around the ``time`` timezone functions. + """ + def __init__(self): + super(tzlocal, self).__init__() + + self._std_offset = datetime.timedelta(seconds=-time.timezone) + if time.daylight: + self._dst_offset = datetime.timedelta(seconds=-time.altzone) + else: + self._dst_offset = self._std_offset + + self._dst_saved = self._dst_offset - self._std_offset + self._hasdst = bool(self._dst_saved) + self._tznames = tuple(time.tzname) + + def utcoffset(self, dt): + if dt is None and self._hasdst: + return None + + if self._isdst(dt): + return self._dst_offset + else: + return self._std_offset + + def dst(self, dt): + if dt is None and self._hasdst: + return None + + if self._isdst(dt): + return self._dst_offset - self._std_offset + else: + return ZERO + + @tzname_in_python2 + def tzname(self, dt): + return self._tznames[self._isdst(dt)] + + def is_ambiguous(self, dt): + """ + Whether or not the "wall time" of a given datetime is ambiguous in this + zone. + + :param dt: + A :py:class:`datetime.datetime`, naive or time zone aware. + + + :return: + Returns ``True`` if ambiguous, ``False`` otherwise. + + .. versionadded:: 2.6.0 + """ + naive_dst = self._naive_is_dst(dt) + return (not naive_dst and + (naive_dst != self._naive_is_dst(dt - self._dst_saved))) + + def _naive_is_dst(self, dt): + timestamp = _datetime_to_timestamp(dt) + return time.localtime(timestamp + time.timezone).tm_isdst + + def _isdst(self, dt, fold_naive=True): + # We can't use mktime here. It is unstable when deciding if + # the hour near to a change is DST or not. + # + # timestamp = time.mktime((dt.year, dt.month, dt.day, dt.hour, + # dt.minute, dt.second, dt.weekday(), 0, -1)) + # return time.localtime(timestamp).tm_isdst + # + # The code above yields the following result: + # + # >>> import tz, datetime + # >>> t = tz.tzlocal() + # >>> datetime.datetime(2003,2,15,23,tzinfo=t).tzname() + # 'BRDT' + # >>> datetime.datetime(2003,2,16,0,tzinfo=t).tzname() + # 'BRST' + # >>> datetime.datetime(2003,2,15,23,tzinfo=t).tzname() + # 'BRST' + # >>> datetime.datetime(2003,2,15,22,tzinfo=t).tzname() + # 'BRDT' + # >>> datetime.datetime(2003,2,15,23,tzinfo=t).tzname() + # 'BRDT' + # + # Here is a more stable implementation: + # + if not self._hasdst: + return False + + # Check for ambiguous times: + dstval = self._naive_is_dst(dt) + fold = getattr(dt, 'fold', None) + + if self.is_ambiguous(dt): + if fold is not None: + return not self._fold(dt) + else: + return True + + return dstval + + def __eq__(self, other): + if isinstance(other, tzlocal): + return (self._std_offset == other._std_offset and + self._dst_offset == other._dst_offset) + elif isinstance(other, tzutc): + return (not self._hasdst and + self._tznames[0] in {'UTC', 'GMT'} and + self._std_offset == ZERO) + elif isinstance(other, tzoffset): + return (not self._hasdst and + self._tznames[0] == other._name and + self._std_offset == other._offset) + else: + return NotImplemented + + __hash__ = None + + def __ne__(self, other): + return not (self == other) + + def __repr__(self): + return "%s()" % self.__class__.__name__ + + __reduce__ = object.__reduce__ + + +class _ttinfo(object): + __slots__ = ["offset", "delta", "isdst", "abbr", + "isstd", "isgmt", "dstoffset"] + + def __init__(self): + for attr in self.__slots__: + setattr(self, attr, None) + + def __repr__(self): + l = [] + for attr in self.__slots__: + value = getattr(self, attr) + if value is not None: + l.append("%s=%s" % (attr, repr(value))) + return "%s(%s)" % (self.__class__.__name__, ", ".join(l)) + + def __eq__(self, other): + if not isinstance(other, _ttinfo): + return NotImplemented + + return (self.offset == other.offset and + self.delta == other.delta and + self.isdst == other.isdst and + self.abbr == other.abbr and + self.isstd == other.isstd and + self.isgmt == other.isgmt and + self.dstoffset == other.dstoffset) + + __hash__ = None + + def __ne__(self, other): + return not (self == other) + + def __getstate__(self): + state = {} + for name in self.__slots__: + state[name] = getattr(self, name, None) + return state + + def __setstate__(self, state): + for name in self.__slots__: + if name in state: + setattr(self, name, state[name]) + + +class _tzfile(object): + """ + Lightweight class for holding the relevant transition and time zone + information read from binary tzfiles. + """ + attrs = ['trans_list', 'trans_list_utc', 'trans_idx', 'ttinfo_list', + 'ttinfo_std', 'ttinfo_dst', 'ttinfo_before', 'ttinfo_first'] + + def __init__(self, **kwargs): + for attr in self.attrs: + setattr(self, attr, kwargs.get(attr, None)) + + +class tzfile(_tzinfo): + """ + This is a ``tzinfo`` subclass that allows one to use the ``tzfile(5)`` + format timezone files to extract current and historical zone information. + + :param fileobj: + This can be an opened file stream or a file name that the time zone + information can be read from. + + :param filename: + This is an optional parameter specifying the source of the time zone + information in the event that ``fileobj`` is a file object. If omitted + and ``fileobj`` is a file stream, this parameter will be set either to + ``fileobj``'s ``name`` attribute or to ``repr(fileobj)``. + + See `Sources for Time Zone and Daylight Saving Time Data + `_ for more information. + Time zone files can be compiled from the `IANA Time Zone database files + `_ with the `zic time zone compiler + `_ + + .. note:: + + Only construct a ``tzfile`` directly if you have a specific timezone + file on disk that you want to read into a Python ``tzinfo`` object. + If you want to get a ``tzfile`` representing a specific IANA zone, + (e.g. ``'America/New_York'``), you should call + :func:`dateutil.tz.gettz` with the zone identifier. + + + **Examples:** + + Using the US Eastern time zone as an example, we can see that a ``tzfile`` + provides time zone information for the standard Daylight Saving offsets: + + .. testsetup:: tzfile + + from dateutil.tz import gettz + from datetime import datetime + + .. doctest:: tzfile + + >>> NYC = gettz('America/New_York') + >>> NYC + tzfile('/usr/share/zoneinfo/America/New_York') + + >>> print(datetime(2016, 1, 3, tzinfo=NYC)) # EST + 2016-01-03 00:00:00-05:00 + + >>> print(datetime(2016, 7, 7, tzinfo=NYC)) # EDT + 2016-07-07 00:00:00-04:00 + + + The ``tzfile`` structure contains a fully history of the time zone, + so historical dates will also have the right offsets. For example, before + the adoption of the UTC standards, New York used local solar mean time: + + .. doctest:: tzfile + + >>> print(datetime(1901, 4, 12, tzinfo=NYC)) # LMT + 1901-04-12 00:00:00-04:56 + + And during World War II, New York was on "Eastern War Time", which was a + state of permanent daylight saving time: + + .. doctest:: tzfile + + >>> print(datetime(1944, 2, 7, tzinfo=NYC)) # EWT + 1944-02-07 00:00:00-04:00 + + """ + + def __init__(self, fileobj, filename=None): + super(tzfile, self).__init__() + + file_opened_here = False + if isinstance(fileobj, string_types): + self._filename = fileobj + fileobj = open(fileobj, 'rb') + file_opened_here = True + elif filename is not None: + self._filename = filename + elif hasattr(fileobj, "name"): + self._filename = fileobj.name + else: + self._filename = repr(fileobj) + + if fileobj is not None: + if not file_opened_here: + fileobj = _nullcontext(fileobj) + + with fileobj as file_stream: + tzobj = self._read_tzfile(file_stream) + + self._set_tzdata(tzobj) + + def _set_tzdata(self, tzobj): + """ Set the time zone data of this object from a _tzfile object """ + # Copy the relevant attributes over as private attributes + for attr in _tzfile.attrs: + setattr(self, '_' + attr, getattr(tzobj, attr)) + + def _read_tzfile(self, fileobj): + out = _tzfile() + + # From tzfile(5): + # + # The time zone information files used by tzset(3) + # begin with the magic characters "TZif" to identify + # them as time zone information files, followed by + # sixteen bytes reserved for future use, followed by + # six four-byte values of type long, written in a + # ``standard'' byte order (the high-order byte + # of the value is written first). + if fileobj.read(4).decode() != "TZif": + raise ValueError("magic not found") + + fileobj.read(16) + + ( + # The number of UTC/local indicators stored in the file. + ttisgmtcnt, + + # The number of standard/wall indicators stored in the file. + ttisstdcnt, + + # The number of leap seconds for which data is + # stored in the file. + leapcnt, + + # The number of "transition times" for which data + # is stored in the file. + timecnt, + + # The number of "local time types" for which data + # is stored in the file (must not be zero). + typecnt, + + # The number of characters of "time zone + # abbreviation strings" stored in the file. + charcnt, + + ) = struct.unpack(">6l", fileobj.read(24)) + + # The above header is followed by tzh_timecnt four-byte + # values of type long, sorted in ascending order. + # These values are written in ``standard'' byte order. + # Each is used as a transition time (as returned by + # time(2)) at which the rules for computing local time + # change. + + if timecnt: + out.trans_list_utc = list(struct.unpack(">%dl" % timecnt, + fileobj.read(timecnt*4))) + else: + out.trans_list_utc = [] + + # Next come tzh_timecnt one-byte values of type unsigned + # char; each one tells which of the different types of + # ``local time'' types described in the file is associated + # with the same-indexed transition time. These values + # serve as indices into an array of ttinfo structures that + # appears next in the file. + + if timecnt: + out.trans_idx = struct.unpack(">%dB" % timecnt, + fileobj.read(timecnt)) + else: + out.trans_idx = [] + + # Each ttinfo structure is written as a four-byte value + # for tt_gmtoff of type long, in a standard byte + # order, followed by a one-byte value for tt_isdst + # and a one-byte value for tt_abbrind. In each + # structure, tt_gmtoff gives the number of + # seconds to be added to UTC, tt_isdst tells whether + # tm_isdst should be set by localtime(3), and + # tt_abbrind serves as an index into the array of + # time zone abbreviation characters that follow the + # ttinfo structure(s) in the file. + + ttinfo = [] + + for i in range(typecnt): + ttinfo.append(struct.unpack(">lbb", fileobj.read(6))) + + abbr = fileobj.read(charcnt).decode() + + # Then there are tzh_leapcnt pairs of four-byte + # values, written in standard byte order; the + # first value of each pair gives the time (as + # returned by time(2)) at which a leap second + # occurs; the second gives the total number of + # leap seconds to be applied after the given time. + # The pairs of values are sorted in ascending order + # by time. + + # Not used, for now (but seek for correct file position) + if leapcnt: + fileobj.seek(leapcnt * 8, os.SEEK_CUR) + + # Then there are tzh_ttisstdcnt standard/wall + # indicators, each stored as a one-byte value; + # they tell whether the transition times associated + # with local time types were specified as standard + # time or wall clock time, and are used when + # a time zone file is used in handling POSIX-style + # time zone environment variables. + + if ttisstdcnt: + isstd = struct.unpack(">%db" % ttisstdcnt, + fileobj.read(ttisstdcnt)) + + # Finally, there are tzh_ttisgmtcnt UTC/local + # indicators, each stored as a one-byte value; + # they tell whether the transition times associated + # with local time types were specified as UTC or + # local time, and are used when a time zone file + # is used in handling POSIX-style time zone envi- + # ronment variables. + + if ttisgmtcnt: + isgmt = struct.unpack(">%db" % ttisgmtcnt, + fileobj.read(ttisgmtcnt)) + + # Build ttinfo list + out.ttinfo_list = [] + for i in range(typecnt): + gmtoff, isdst, abbrind = ttinfo[i] + gmtoff = _get_supported_offset(gmtoff) + tti = _ttinfo() + tti.offset = gmtoff + tti.dstoffset = datetime.timedelta(0) + tti.delta = datetime.timedelta(seconds=gmtoff) + tti.isdst = isdst + tti.abbr = abbr[abbrind:abbr.find('\x00', abbrind)] + tti.isstd = (ttisstdcnt > i and isstd[i] != 0) + tti.isgmt = (ttisgmtcnt > i and isgmt[i] != 0) + out.ttinfo_list.append(tti) + + # Replace ttinfo indexes for ttinfo objects. + out.trans_idx = [out.ttinfo_list[idx] for idx in out.trans_idx] + + # Set standard, dst, and before ttinfos. before will be + # used when a given time is before any transitions, + # and will be set to the first non-dst ttinfo, or to + # the first dst, if all of them are dst. + out.ttinfo_std = None + out.ttinfo_dst = None + out.ttinfo_before = None + if out.ttinfo_list: + if not out.trans_list_utc: + out.ttinfo_std = out.ttinfo_first = out.ttinfo_list[0] + else: + for i in range(timecnt-1, -1, -1): + tti = out.trans_idx[i] + if not out.ttinfo_std and not tti.isdst: + out.ttinfo_std = tti + elif not out.ttinfo_dst and tti.isdst: + out.ttinfo_dst = tti + + if out.ttinfo_std and out.ttinfo_dst: + break + else: + if out.ttinfo_dst and not out.ttinfo_std: + out.ttinfo_std = out.ttinfo_dst + + for tti in out.ttinfo_list: + if not tti.isdst: + out.ttinfo_before = tti + break + else: + out.ttinfo_before = out.ttinfo_list[0] + + # Now fix transition times to become relative to wall time. + # + # I'm not sure about this. In my tests, the tz source file + # is setup to wall time, and in the binary file isstd and + # isgmt are off, so it should be in wall time. OTOH, it's + # always in gmt time. Let me know if you have comments + # about this. + lastdst = None + lastoffset = None + lastdstoffset = None + lastbaseoffset = None + out.trans_list = [] + + for i, tti in enumerate(out.trans_idx): + offset = tti.offset + dstoffset = 0 + + if lastdst is not None: + if tti.isdst: + if not lastdst: + dstoffset = offset - lastoffset + + if not dstoffset and lastdstoffset: + dstoffset = lastdstoffset + + tti.dstoffset = datetime.timedelta(seconds=dstoffset) + lastdstoffset = dstoffset + + # If a time zone changes its base offset during a DST transition, + # then you need to adjust by the previous base offset to get the + # transition time in local time. Otherwise you use the current + # base offset. Ideally, I would have some mathematical proof of + # why this is true, but I haven't really thought about it enough. + baseoffset = offset - dstoffset + adjustment = baseoffset + if (lastbaseoffset is not None and baseoffset != lastbaseoffset + and tti.isdst != lastdst): + # The base DST has changed + adjustment = lastbaseoffset + + lastdst = tti.isdst + lastoffset = offset + lastbaseoffset = baseoffset + + out.trans_list.append(out.trans_list_utc[i] + adjustment) + + out.trans_idx = tuple(out.trans_idx) + out.trans_list = tuple(out.trans_list) + out.trans_list_utc = tuple(out.trans_list_utc) + + return out + + def _find_last_transition(self, dt, in_utc=False): + # If there's no list, there are no transitions to find + if not self._trans_list: + return None + + timestamp = _datetime_to_timestamp(dt) + + # Find where the timestamp fits in the transition list - if the + # timestamp is a transition time, it's part of the "after" period. + trans_list = self._trans_list_utc if in_utc else self._trans_list + idx = bisect.bisect_right(trans_list, timestamp) + + # We want to know when the previous transition was, so subtract off 1 + return idx - 1 + + def _get_ttinfo(self, idx): + # For no list or after the last transition, default to _ttinfo_std + if idx is None or (idx + 1) >= len(self._trans_list): + return self._ttinfo_std + + # If there is a list and the time is before it, return _ttinfo_before + if idx < 0: + return self._ttinfo_before + + return self._trans_idx[idx] + + def _find_ttinfo(self, dt): + idx = self._resolve_ambiguous_time(dt) + + return self._get_ttinfo(idx) + + def fromutc(self, dt): + """ + The ``tzfile`` implementation of :py:func:`datetime.tzinfo.fromutc`. + + :param dt: + A :py:class:`datetime.datetime` object. + + :raises TypeError: + Raised if ``dt`` is not a :py:class:`datetime.datetime` object. + + :raises ValueError: + Raised if this is called with a ``dt`` which does not have this + ``tzinfo`` attached. + + :return: + Returns a :py:class:`datetime.datetime` object representing the + wall time in ``self``'s time zone. + """ + # These isinstance checks are in datetime.tzinfo, so we'll preserve + # them, even if we don't care about duck typing. + if not isinstance(dt, datetime.datetime): + raise TypeError("fromutc() requires a datetime argument") + + if dt.tzinfo is not self: + raise ValueError("dt.tzinfo is not self") + + # First treat UTC as wall time and get the transition we're in. + idx = self._find_last_transition(dt, in_utc=True) + tti = self._get_ttinfo(idx) + + dt_out = dt + datetime.timedelta(seconds=tti.offset) + + fold = self.is_ambiguous(dt_out, idx=idx) + + return enfold(dt_out, fold=int(fold)) + + def is_ambiguous(self, dt, idx=None): + """ + Whether or not the "wall time" of a given datetime is ambiguous in this + zone. + + :param dt: + A :py:class:`datetime.datetime`, naive or time zone aware. + + + :return: + Returns ``True`` if ambiguous, ``False`` otherwise. + + .. versionadded:: 2.6.0 + """ + if idx is None: + idx = self._find_last_transition(dt) + + # Calculate the difference in offsets from current to previous + timestamp = _datetime_to_timestamp(dt) + tti = self._get_ttinfo(idx) + + if idx is None or idx <= 0: + return False + + od = self._get_ttinfo(idx - 1).offset - tti.offset + tt = self._trans_list[idx] # Transition time + + return timestamp < tt + od + + def _resolve_ambiguous_time(self, dt): + idx = self._find_last_transition(dt) + + # If we have no transitions, return the index + _fold = self._fold(dt) + if idx is None or idx == 0: + return idx + + # If it's ambiguous and we're in a fold, shift to a different index. + idx_offset = int(not _fold and self.is_ambiguous(dt, idx)) + + return idx - idx_offset + + def utcoffset(self, dt): + if dt is None: + return None + + if not self._ttinfo_std: + return ZERO + + return self._find_ttinfo(dt).delta + + def dst(self, dt): + if dt is None: + return None + + if not self._ttinfo_dst: + return ZERO + + tti = self._find_ttinfo(dt) + + if not tti.isdst: + return ZERO + + # The documentation says that utcoffset()-dst() must + # be constant for every dt. + return tti.dstoffset + + @tzname_in_python2 + def tzname(self, dt): + if not self._ttinfo_std or dt is None: + return None + return self._find_ttinfo(dt).abbr + + def __eq__(self, other): + if not isinstance(other, tzfile): + return NotImplemented + return (self._trans_list == other._trans_list and + self._trans_idx == other._trans_idx and + self._ttinfo_list == other._ttinfo_list) + + __hash__ = None + + def __ne__(self, other): + return not (self == other) + + def __repr__(self): + return "%s(%s)" % (self.__class__.__name__, repr(self._filename)) + + def __reduce__(self): + return self.__reduce_ex__(None) + + def __reduce_ex__(self, protocol): + return (self.__class__, (None, self._filename), self.__dict__) + + +class tzrange(tzrangebase): + """ + The ``tzrange`` object is a time zone specified by a set of offsets and + abbreviations, equivalent to the way the ``TZ`` variable can be specified + in POSIX-like systems, but using Python delta objects to specify DST + start, end and offsets. + + :param stdabbr: + The abbreviation for standard time (e.g. ``'EST'``). + + :param stdoffset: + An integer or :class:`datetime.timedelta` object or equivalent + specifying the base offset from UTC. + + If unspecified, +00:00 is used. + + :param dstabbr: + The abbreviation for DST / "Summer" time (e.g. ``'EDT'``). + + If specified, with no other DST information, DST is assumed to occur + and the default behavior or ``dstoffset``, ``start`` and ``end`` is + used. If unspecified and no other DST information is specified, it + is assumed that this zone has no DST. + + If this is unspecified and other DST information is *is* specified, + DST occurs in the zone but the time zone abbreviation is left + unchanged. + + :param dstoffset: + A an integer or :class:`datetime.timedelta` object or equivalent + specifying the UTC offset during DST. If unspecified and any other DST + information is specified, it is assumed to be the STD offset +1 hour. + + :param start: + A :class:`relativedelta.relativedelta` object or equivalent specifying + the time and time of year that daylight savings time starts. To + specify, for example, that DST starts at 2AM on the 2nd Sunday in + March, pass: + + ``relativedelta(hours=2, month=3, day=1, weekday=SU(+2))`` + + If unspecified and any other DST information is specified, the default + value is 2 AM on the first Sunday in April. + + :param end: + A :class:`relativedelta.relativedelta` object or equivalent + representing the time and time of year that daylight savings time + ends, with the same specification method as in ``start``. One note is + that this should point to the first time in the *standard* zone, so if + a transition occurs at 2AM in the DST zone and the clocks are set back + 1 hour to 1AM, set the ``hours`` parameter to +1. + + + **Examples:** + + .. testsetup:: tzrange + + from dateutil.tz import tzrange, tzstr + + .. doctest:: tzrange + + >>> tzstr('EST5EDT') == tzrange("EST", -18000, "EDT") + True + + >>> from dateutil.relativedelta import * + >>> range1 = tzrange("EST", -18000, "EDT") + >>> range2 = tzrange("EST", -18000, "EDT", -14400, + ... relativedelta(hours=+2, month=4, day=1, + ... weekday=SU(+1)), + ... relativedelta(hours=+1, month=10, day=31, + ... weekday=SU(-1))) + >>> tzstr('EST5EDT') == range1 == range2 + True + + """ + def __init__(self, stdabbr, stdoffset=None, + dstabbr=None, dstoffset=None, + start=None, end=None): + + global relativedelta + from dateutil import relativedelta + + self._std_abbr = stdabbr + self._dst_abbr = dstabbr + + try: + stdoffset = stdoffset.total_seconds() + except (TypeError, AttributeError): + pass + + try: + dstoffset = dstoffset.total_seconds() + except (TypeError, AttributeError): + pass + + if stdoffset is not None: + self._std_offset = datetime.timedelta(seconds=stdoffset) + else: + self._std_offset = ZERO + + if dstoffset is not None: + self._dst_offset = datetime.timedelta(seconds=dstoffset) + elif dstabbr and stdoffset is not None: + self._dst_offset = self._std_offset + datetime.timedelta(hours=+1) + else: + self._dst_offset = ZERO + + if dstabbr and start is None: + self._start_delta = relativedelta.relativedelta( + hours=+2, month=4, day=1, weekday=relativedelta.SU(+1)) + else: + self._start_delta = start + + if dstabbr and end is None: + self._end_delta = relativedelta.relativedelta( + hours=+1, month=10, day=31, weekday=relativedelta.SU(-1)) + else: + self._end_delta = end + + self._dst_base_offset_ = self._dst_offset - self._std_offset + self.hasdst = bool(self._start_delta) + + def transitions(self, year): + """ + For a given year, get the DST on and off transition times, expressed + always on the standard time side. For zones with no transitions, this + function returns ``None``. + + :param year: + The year whose transitions you would like to query. + + :return: + Returns a :class:`tuple` of :class:`datetime.datetime` objects, + ``(dston, dstoff)`` for zones with an annual DST transition, or + ``None`` for fixed offset zones. + """ + if not self.hasdst: + return None + + base_year = datetime.datetime(year, 1, 1) + + start = base_year + self._start_delta + end = base_year + self._end_delta + + return (start, end) + + def __eq__(self, other): + if not isinstance(other, tzrange): + return NotImplemented + + return (self._std_abbr == other._std_abbr and + self._dst_abbr == other._dst_abbr and + self._std_offset == other._std_offset and + self._dst_offset == other._dst_offset and + self._start_delta == other._start_delta and + self._end_delta == other._end_delta) + + @property + def _dst_base_offset(self): + return self._dst_base_offset_ + + +@six.add_metaclass(_TzStrFactory) +class tzstr(tzrange): + """ + ``tzstr`` objects are time zone objects specified by a time-zone string as + it would be passed to a ``TZ`` variable on POSIX-style systems (see + the `GNU C Library: TZ Variable`_ for more details). + + There is one notable exception, which is that POSIX-style time zones use an + inverted offset format, so normally ``GMT+3`` would be parsed as an offset + 3 hours *behind* GMT. The ``tzstr`` time zone object will parse this as an + offset 3 hours *ahead* of GMT. If you would like to maintain the POSIX + behavior, pass a ``True`` value to ``posix_offset``. + + The :class:`tzrange` object provides the same functionality, but is + specified using :class:`relativedelta.relativedelta` objects. rather than + strings. + + :param s: + A time zone string in ``TZ`` variable format. This can be a + :class:`bytes` (2.x: :class:`str`), :class:`str` (2.x: + :class:`unicode`) or a stream emitting unicode characters + (e.g. :class:`StringIO`). + + :param posix_offset: + Optional. If set to ``True``, interpret strings such as ``GMT+3`` or + ``UTC+3`` as being 3 hours *behind* UTC rather than ahead, per the + POSIX standard. + + .. caution:: + + Prior to version 2.7.0, this function also supported time zones + in the format: + + * ``EST5EDT,4,0,6,7200,10,0,26,7200,3600`` + * ``EST5EDT,4,1,0,7200,10,-1,0,7200,3600`` + + This format is non-standard and has been deprecated; this function + will raise a :class:`DeprecatedTZFormatWarning` until + support is removed in a future version. + + .. _`GNU C Library: TZ Variable`: + https://www.gnu.org/software/libc/manual/html_node/TZ-Variable.html + """ + def __init__(self, s, posix_offset=False): + global parser + from dateutil.parser import _parser as parser + + self._s = s + + res = parser._parsetz(s) + if res is None or res.any_unused_tokens: + raise ValueError("unknown string format") + + # Here we break the compatibility with the TZ variable handling. + # GMT-3 actually *means* the timezone -3. + if res.stdabbr in ("GMT", "UTC") and not posix_offset: + res.stdoffset *= -1 + + # We must initialize it first, since _delta() needs + # _std_offset and _dst_offset set. Use False in start/end + # to avoid building it two times. + tzrange.__init__(self, res.stdabbr, res.stdoffset, + res.dstabbr, res.dstoffset, + start=False, end=False) + + if not res.dstabbr: + self._start_delta = None + self._end_delta = None + else: + self._start_delta = self._delta(res.start) + if self._start_delta: + self._end_delta = self._delta(res.end, isend=1) + + self.hasdst = bool(self._start_delta) + + def _delta(self, x, isend=0): + from dateutil import relativedelta + kwargs = {} + if x.month is not None: + kwargs["month"] = x.month + if x.weekday is not None: + kwargs["weekday"] = relativedelta.weekday(x.weekday, x.week) + if x.week > 0: + kwargs["day"] = 1 + else: + kwargs["day"] = 31 + elif x.day: + kwargs["day"] = x.day + elif x.yday is not None: + kwargs["yearday"] = x.yday + elif x.jyday is not None: + kwargs["nlyearday"] = x.jyday + if not kwargs: + # Default is to start on first sunday of april, and end + # on last sunday of october. + if not isend: + kwargs["month"] = 4 + kwargs["day"] = 1 + kwargs["weekday"] = relativedelta.SU(+1) + else: + kwargs["month"] = 10 + kwargs["day"] = 31 + kwargs["weekday"] = relativedelta.SU(-1) + if x.time is not None: + kwargs["seconds"] = x.time + else: + # Default is 2AM. + kwargs["seconds"] = 7200 + if isend: + # Convert to standard time, to follow the documented way + # of working with the extra hour. See the documentation + # of the tzinfo class. + delta = self._dst_offset - self._std_offset + kwargs["seconds"] -= delta.seconds + delta.days * 86400 + return relativedelta.relativedelta(**kwargs) + + def __repr__(self): + return "%s(%s)" % (self.__class__.__name__, repr(self._s)) + + +class _tzicalvtzcomp(object): + def __init__(self, tzoffsetfrom, tzoffsetto, isdst, + tzname=None, rrule=None): + self.tzoffsetfrom = datetime.timedelta(seconds=tzoffsetfrom) + self.tzoffsetto = datetime.timedelta(seconds=tzoffsetto) + self.tzoffsetdiff = self.tzoffsetto - self.tzoffsetfrom + self.isdst = isdst + self.tzname = tzname + self.rrule = rrule + + +class _tzicalvtz(_tzinfo): + def __init__(self, tzid, comps=[]): + super(_tzicalvtz, self).__init__() + + self._tzid = tzid + self._comps = comps + self._cachedate = [] + self._cachecomp = [] + self._cache_lock = _thread.allocate_lock() + + def _find_comp(self, dt): + if len(self._comps) == 1: + return self._comps[0] + + dt = dt.replace(tzinfo=None) + + try: + with self._cache_lock: + return self._cachecomp[self._cachedate.index( + (dt, self._fold(dt)))] + except ValueError: + pass + + lastcompdt = None + lastcomp = None + + for comp in self._comps: + compdt = self._find_compdt(comp, dt) + + if compdt and (not lastcompdt or lastcompdt < compdt): + lastcompdt = compdt + lastcomp = comp + + if not lastcomp: + # RFC says nothing about what to do when a given + # time is before the first onset date. We'll look for the + # first standard component, or the first component, if + # none is found. + for comp in self._comps: + if not comp.isdst: + lastcomp = comp + break + else: + lastcomp = comp[0] + + with self._cache_lock: + self._cachedate.insert(0, (dt, self._fold(dt))) + self._cachecomp.insert(0, lastcomp) + + if len(self._cachedate) > 10: + self._cachedate.pop() + self._cachecomp.pop() + + return lastcomp + + def _find_compdt(self, comp, dt): + if comp.tzoffsetdiff < ZERO and self._fold(dt): + dt -= comp.tzoffsetdiff + + compdt = comp.rrule.before(dt, inc=True) + + return compdt + + def utcoffset(self, dt): + if dt is None: + return None + + return self._find_comp(dt).tzoffsetto + + def dst(self, dt): + comp = self._find_comp(dt) + if comp.isdst: + return comp.tzoffsetdiff + else: + return ZERO + + @tzname_in_python2 + def tzname(self, dt): + return self._find_comp(dt).tzname + + def __repr__(self): + return "" % repr(self._tzid) + + __reduce__ = object.__reduce__ + + +class tzical(object): + """ + This object is designed to parse an iCalendar-style ``VTIMEZONE`` structure + as set out in `RFC 5545`_ Section 4.6.5 into one or more `tzinfo` objects. + + :param `fileobj`: + A file or stream in iCalendar format, which should be UTF-8 encoded + with CRLF endings. + + .. _`RFC 5545`: https://tools.ietf.org/html/rfc5545 + """ + def __init__(self, fileobj): + global rrule + from dateutil import rrule + + if isinstance(fileobj, string_types): + self._s = fileobj + # ical should be encoded in UTF-8 with CRLF + fileobj = open(fileobj, 'r') + else: + self._s = getattr(fileobj, 'name', repr(fileobj)) + fileobj = _nullcontext(fileobj) + + self._vtz = {} + + with fileobj as fobj: + self._parse_rfc(fobj.read()) + + def keys(self): + """ + Retrieves the available time zones as a list. + """ + return list(self._vtz.keys()) + + def get(self, tzid=None): + """ + Retrieve a :py:class:`datetime.tzinfo` object by its ``tzid``. + + :param tzid: + If there is exactly one time zone available, omitting ``tzid`` + or passing :py:const:`None` value returns it. Otherwise a valid + key (which can be retrieved from :func:`keys`) is required. + + :raises ValueError: + Raised if ``tzid`` is not specified but there are either more + or fewer than 1 zone defined. + + :returns: + Returns either a :py:class:`datetime.tzinfo` object representing + the relevant time zone or :py:const:`None` if the ``tzid`` was + not found. + """ + if tzid is None: + if len(self._vtz) == 0: + raise ValueError("no timezones defined") + elif len(self._vtz) > 1: + raise ValueError("more than one timezone available") + tzid = next(iter(self._vtz)) + + return self._vtz.get(tzid) + + def _parse_offset(self, s): + s = s.strip() + if not s: + raise ValueError("empty offset") + if s[0] in ('+', '-'): + signal = (-1, +1)[s[0] == '+'] + s = s[1:] + else: + signal = +1 + if len(s) == 4: + return (int(s[:2]) * 3600 + int(s[2:]) * 60) * signal + elif len(s) == 6: + return (int(s[:2]) * 3600 + int(s[2:4]) * 60 + int(s[4:])) * signal + else: + raise ValueError("invalid offset: " + s) + + def _parse_rfc(self, s): + lines = s.splitlines() + if not lines: + raise ValueError("empty string") + + # Unfold + i = 0 + while i < len(lines): + line = lines[i].rstrip() + if not line: + del lines[i] + elif i > 0 and line[0] == " ": + lines[i-1] += line[1:] + del lines[i] + else: + i += 1 + + tzid = None + comps = [] + invtz = False + comptype = None + for line in lines: + if not line: + continue + name, value = line.split(':', 1) + parms = name.split(';') + if not parms: + raise ValueError("empty property name") + name = parms[0].upper() + parms = parms[1:] + if invtz: + if name == "BEGIN": + if value in ("STANDARD", "DAYLIGHT"): + # Process component + pass + else: + raise ValueError("unknown component: "+value) + comptype = value + founddtstart = False + tzoffsetfrom = None + tzoffsetto = None + rrulelines = [] + tzname = None + elif name == "END": + if value == "VTIMEZONE": + if comptype: + raise ValueError("component not closed: "+comptype) + if not tzid: + raise ValueError("mandatory TZID not found") + if not comps: + raise ValueError( + "at least one component is needed") + # Process vtimezone + self._vtz[tzid] = _tzicalvtz(tzid, comps) + invtz = False + elif value == comptype: + if not founddtstart: + raise ValueError("mandatory DTSTART not found") + if tzoffsetfrom is None: + raise ValueError( + "mandatory TZOFFSETFROM not found") + if tzoffsetto is None: + raise ValueError( + "mandatory TZOFFSETFROM not found") + # Process component + rr = None + if rrulelines: + rr = rrule.rrulestr("\n".join(rrulelines), + compatible=True, + ignoretz=True, + cache=True) + comp = _tzicalvtzcomp(tzoffsetfrom, tzoffsetto, + (comptype == "DAYLIGHT"), + tzname, rr) + comps.append(comp) + comptype = None + else: + raise ValueError("invalid component end: "+value) + elif comptype: + if name == "DTSTART": + # DTSTART in VTIMEZONE takes a subset of valid RRULE + # values under RFC 5545. + for parm in parms: + if parm != 'VALUE=DATE-TIME': + msg = ('Unsupported DTSTART param in ' + + 'VTIMEZONE: ' + parm) + raise ValueError(msg) + rrulelines.append(line) + founddtstart = True + elif name in ("RRULE", "RDATE", "EXRULE", "EXDATE"): + rrulelines.append(line) + elif name == "TZOFFSETFROM": + if parms: + raise ValueError( + "unsupported %s parm: %s " % (name, parms[0])) + tzoffsetfrom = self._parse_offset(value) + elif name == "TZOFFSETTO": + if parms: + raise ValueError( + "unsupported TZOFFSETTO parm: "+parms[0]) + tzoffsetto = self._parse_offset(value) + elif name == "TZNAME": + if parms: + raise ValueError( + "unsupported TZNAME parm: "+parms[0]) + tzname = value + elif name == "COMMENT": + pass + else: + raise ValueError("unsupported property: "+name) + else: + if name == "TZID": + if parms: + raise ValueError( + "unsupported TZID parm: "+parms[0]) + tzid = value + elif name in ("TZURL", "LAST-MODIFIED", "COMMENT"): + pass + else: + raise ValueError("unsupported property: "+name) + elif name == "BEGIN" and value == "VTIMEZONE": + tzid = None + comps = [] + invtz = True + + def __repr__(self): + return "%s(%s)" % (self.__class__.__name__, repr(self._s)) + + +if sys.platform != "win32": + TZFILES = ["/etc/localtime", "localtime"] + TZPATHS = ["/usr/share/zoneinfo", + "/usr/lib/zoneinfo", + "/usr/share/lib/zoneinfo", + "/etc/zoneinfo"] +else: + TZFILES = [] + TZPATHS = [] + + +def __get_gettz(): + tzlocal_classes = (tzlocal,) + if tzwinlocal is not None: + tzlocal_classes += (tzwinlocal,) + + class GettzFunc(object): + """ + Retrieve a time zone object from a string representation + + This function is intended to retrieve the :py:class:`tzinfo` subclass + that best represents the time zone that would be used if a POSIX + `TZ variable`_ were set to the same value. + + If no argument or an empty string is passed to ``gettz``, local time + is returned: + + .. code-block:: python3 + + >>> gettz() + tzfile('/etc/localtime') + + This function is also the preferred way to map IANA tz database keys + to :class:`tzfile` objects: + + .. code-block:: python3 + + >>> gettz('Pacific/Kiritimati') + tzfile('/usr/share/zoneinfo/Pacific/Kiritimati') + + On Windows, the standard is extended to include the Windows-specific + zone names provided by the operating system: + + .. code-block:: python3 + + >>> gettz('Egypt Standard Time') + tzwin('Egypt Standard Time') + + Passing a GNU ``TZ`` style string time zone specification returns a + :class:`tzstr` object: + + .. code-block:: python3 + + >>> gettz('AEST-10AEDT-11,M10.1.0/2,M4.1.0/3') + tzstr('AEST-10AEDT-11,M10.1.0/2,M4.1.0/3') + + :param name: + A time zone name (IANA, or, on Windows, Windows keys), location of + a ``tzfile(5)`` zoneinfo file or ``TZ`` variable style time zone + specifier. An empty string, no argument or ``None`` is interpreted + as local time. + + :return: + Returns an instance of one of ``dateutil``'s :py:class:`tzinfo` + subclasses. + + .. versionchanged:: 2.7.0 + + After version 2.7.0, any two calls to ``gettz`` using the same + input strings will return the same object: + + .. code-block:: python3 + + >>> tz.gettz('America/Chicago') is tz.gettz('America/Chicago') + True + + In addition to improving performance, this ensures that + `"same zone" semantics`_ are used for datetimes in the same zone. + + + .. _`TZ variable`: + https://www.gnu.org/software/libc/manual/html_node/TZ-Variable.html + + .. _`"same zone" semantics`: + https://blog.ganssle.io/articles/2018/02/aware-datetime-arithmetic.html + """ + def __init__(self): + + self.__instances = weakref.WeakValueDictionary() + self.__strong_cache_size = 8 + self.__strong_cache = OrderedDict() + self._cache_lock = _thread.allocate_lock() + + def __call__(self, name=None): + with self._cache_lock: + rv = self.__instances.get(name, None) + + if rv is None: + rv = self.nocache(name=name) + if not (name is None + or isinstance(rv, tzlocal_classes) + or rv is None): + # tzlocal is slightly more complicated than the other + # time zone providers because it depends on environment + # at construction time, so don't cache that. + # + # We also cannot store weak references to None, so we + # will also not store that. + self.__instances[name] = rv + else: + # No need for strong caching, return immediately + return rv + + self.__strong_cache[name] = self.__strong_cache.pop(name, rv) + + if len(self.__strong_cache) > self.__strong_cache_size: + self.__strong_cache.popitem(last=False) + + return rv + + def set_cache_size(self, size): + with self._cache_lock: + self.__strong_cache_size = size + while len(self.__strong_cache) > size: + self.__strong_cache.popitem(last=False) + + def cache_clear(self): + with self._cache_lock: + self.__instances = weakref.WeakValueDictionary() + self.__strong_cache.clear() + + @staticmethod + def nocache(name=None): + """A non-cached version of gettz""" + tz = None + if not name: + try: + name = os.environ["TZ"] + except KeyError: + pass + if name is None or name in ("", ":"): + for filepath in TZFILES: + if not os.path.isabs(filepath): + filename = filepath + for path in TZPATHS: + filepath = os.path.join(path, filename) + if os.path.isfile(filepath): + break + else: + continue + if os.path.isfile(filepath): + try: + tz = tzfile(filepath) + break + except (IOError, OSError, ValueError): + pass + else: + tz = tzlocal() + else: + try: + if name.startswith(":"): + name = name[1:] + except TypeError as e: + if isinstance(name, bytes): + new_msg = "gettz argument should be str, not bytes" + six.raise_from(TypeError(new_msg), e) + else: + raise + if os.path.isabs(name): + if os.path.isfile(name): + tz = tzfile(name) + else: + tz = None + else: + for path in TZPATHS: + filepath = os.path.join(path, name) + if not os.path.isfile(filepath): + filepath = filepath.replace(' ', '_') + if not os.path.isfile(filepath): + continue + try: + tz = tzfile(filepath) + break + except (IOError, OSError, ValueError): + pass + else: + tz = None + if tzwin is not None: + try: + tz = tzwin(name) + except (WindowsError, UnicodeEncodeError): + # UnicodeEncodeError is for Python 2.7 compat + tz = None + + if not tz: + from dateutil.zoneinfo import get_zonefile_instance + tz = get_zonefile_instance().get(name) + + if not tz: + for c in name: + # name is not a tzstr unless it has at least + # one offset. For short values of "name", an + # explicit for loop seems to be the fastest way + # To determine if a string contains a digit + if c in "0123456789": + try: + tz = tzstr(name) + except ValueError: + pass + break + else: + if name in ("GMT", "UTC"): + tz = UTC + elif name in time.tzname: + tz = tzlocal() + return tz + + return GettzFunc() + + +gettz = __get_gettz() +del __get_gettz + + +def datetime_exists(dt, tz=None): + """ + Given a datetime and a time zone, determine whether or not a given datetime + would fall in a gap. + + :param dt: + A :class:`datetime.datetime` (whose time zone will be ignored if ``tz`` + is provided.) + + :param tz: + A :class:`datetime.tzinfo` with support for the ``fold`` attribute. If + ``None`` or not provided, the datetime's own time zone will be used. + + :return: + Returns a boolean value whether or not the "wall time" exists in + ``tz``. + + .. versionadded:: 2.7.0 + """ + if tz is None: + if dt.tzinfo is None: + raise ValueError('Datetime is naive and no time zone provided.') + tz = dt.tzinfo + + dt = dt.replace(tzinfo=None) + + # This is essentially a test of whether or not the datetime can survive + # a round trip to UTC. + dt_rt = dt.replace(tzinfo=tz).astimezone(UTC).astimezone(tz) + dt_rt = dt_rt.replace(tzinfo=None) + + return dt == dt_rt + + +def datetime_ambiguous(dt, tz=None): + """ + Given a datetime and a time zone, determine whether or not a given datetime + is ambiguous (i.e if there are two times differentiated only by their DST + status). + + :param dt: + A :class:`datetime.datetime` (whose time zone will be ignored if ``tz`` + is provided.) + + :param tz: + A :class:`datetime.tzinfo` with support for the ``fold`` attribute. If + ``None`` or not provided, the datetime's own time zone will be used. + + :return: + Returns a boolean value whether or not the "wall time" is ambiguous in + ``tz``. + + .. versionadded:: 2.6.0 + """ + if tz is None: + if dt.tzinfo is None: + raise ValueError('Datetime is naive and no time zone provided.') + + tz = dt.tzinfo + + # If a time zone defines its own "is_ambiguous" function, we'll use that. + is_ambiguous_fn = getattr(tz, 'is_ambiguous', None) + if is_ambiguous_fn is not None: + try: + return tz.is_ambiguous(dt) + except Exception: + pass + + # If it doesn't come out and tell us it's ambiguous, we'll just check if + # the fold attribute has any effect on this particular date and time. + dt = dt.replace(tzinfo=tz) + wall_0 = enfold(dt, fold=0) + wall_1 = enfold(dt, fold=1) + + same_offset = wall_0.utcoffset() == wall_1.utcoffset() + same_dst = wall_0.dst() == wall_1.dst() + + return not (same_offset and same_dst) + + +def resolve_imaginary(dt): + """ + Given a datetime that may be imaginary, return an existing datetime. + + This function assumes that an imaginary datetime represents what the + wall time would be in a zone had the offset transition not occurred, so + it will always fall forward by the transition's change in offset. + + .. doctest:: + + >>> from dateutil import tz + >>> from datetime import datetime + >>> NYC = tz.gettz('America/New_York') + >>> print(tz.resolve_imaginary(datetime(2017, 3, 12, 2, 30, tzinfo=NYC))) + 2017-03-12 03:30:00-04:00 + + >>> KIR = tz.gettz('Pacific/Kiritimati') + >>> print(tz.resolve_imaginary(datetime(1995, 1, 1, 12, 30, tzinfo=KIR))) + 1995-01-02 12:30:00+14:00 + + As a note, :func:`datetime.astimezone` is guaranteed to produce a valid, + existing datetime, so a round-trip to and from UTC is sufficient to get + an extant datetime, however, this generally "falls back" to an earlier time + rather than falling forward to the STD side (though no guarantees are made + about this behavior). + + :param dt: + A :class:`datetime.datetime` which may or may not exist. + + :return: + Returns an existing :class:`datetime.datetime`. If ``dt`` was not + imaginary, the datetime returned is guaranteed to be the same object + passed to the function. + + .. versionadded:: 2.7.0 + """ + if dt.tzinfo is not None and not datetime_exists(dt): + + curr_offset = (dt + datetime.timedelta(hours=24)).utcoffset() + old_offset = (dt - datetime.timedelta(hours=24)).utcoffset() + + dt += curr_offset - old_offset + + return dt + + +def _datetime_to_timestamp(dt): + """ + Convert a :class:`datetime.datetime` object to an epoch timestamp in + seconds since January 1, 1970, ignoring the time zone. + """ + return (dt.replace(tzinfo=None) - EPOCH).total_seconds() + + +if sys.version_info >= (3, 6): + def _get_supported_offset(second_offset): + return second_offset +else: + def _get_supported_offset(second_offset): + # For python pre-3.6, round to full-minutes if that's not the case. + # Python's datetime doesn't accept sub-minute timezones. Check + # http://python.org/sf/1447945 or https://bugs.python.org/issue5288 + # for some information. + old_offset = second_offset + calculated_offset = 60 * ((second_offset + 30) // 60) + return calculated_offset + + +try: + # Python 3.7 feature + from contextlib import nullcontext as _nullcontext +except ImportError: + class _nullcontext(object): + """ + Class for wrapping contexts so that they are passed through in a + with statement. + """ + def __init__(self, context): + self.context = context + + def __enter__(self): + return self.context + + def __exit__(*args, **kwargs): + pass + +# vim:ts=4:sw=4:et diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/win.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/win.py new file mode 100644 index 0000000000000000000000000000000000000000..cde07ba792c40903f0c334839140173b39fd8124 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tz/win.py @@ -0,0 +1,370 @@ +# -*- coding: utf-8 -*- +""" +This module provides an interface to the native time zone data on Windows, +including :py:class:`datetime.tzinfo` implementations. + +Attempting to import this module on a non-Windows platform will raise an +:py:obj:`ImportError`. +""" +# This code was originally contributed by Jeffrey Harris. +import datetime +import struct + +from six.moves import winreg +from six import text_type + +try: + import ctypes + from ctypes import wintypes +except ValueError: + # ValueError is raised on non-Windows systems for some horrible reason. + raise ImportError("Running tzwin on non-Windows system") + +from ._common import tzrangebase + +__all__ = ["tzwin", "tzwinlocal", "tzres"] + +ONEWEEK = datetime.timedelta(7) + +TZKEYNAMENT = r"SOFTWARE\Microsoft\Windows NT\CurrentVersion\Time Zones" +TZKEYNAME9X = r"SOFTWARE\Microsoft\Windows\CurrentVersion\Time Zones" +TZLOCALKEYNAME = r"SYSTEM\CurrentControlSet\Control\TimeZoneInformation" + + +def _settzkeyname(): + handle = winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) + try: + winreg.OpenKey(handle, TZKEYNAMENT).Close() + TZKEYNAME = TZKEYNAMENT + except WindowsError: + TZKEYNAME = TZKEYNAME9X + handle.Close() + return TZKEYNAME + + +TZKEYNAME = _settzkeyname() + + +class tzres(object): + """ + Class for accessing ``tzres.dll``, which contains timezone name related + resources. + + .. versionadded:: 2.5.0 + """ + p_wchar = ctypes.POINTER(wintypes.WCHAR) # Pointer to a wide char + + def __init__(self, tzres_loc='tzres.dll'): + # Load the user32 DLL so we can load strings from tzres + user32 = ctypes.WinDLL('user32') + + # Specify the LoadStringW function + user32.LoadStringW.argtypes = (wintypes.HINSTANCE, + wintypes.UINT, + wintypes.LPWSTR, + ctypes.c_int) + + self.LoadStringW = user32.LoadStringW + self._tzres = ctypes.WinDLL(tzres_loc) + self.tzres_loc = tzres_loc + + def load_name(self, offset): + """ + Load a timezone name from a DLL offset (integer). + + >>> from dateutil.tzwin import tzres + >>> tzr = tzres() + >>> print(tzr.load_name(112)) + 'Eastern Standard Time' + + :param offset: + A positive integer value referring to a string from the tzres dll. + + .. note:: + + Offsets found in the registry are generally of the form + ``@tzres.dll,-114``. The offset in this case is 114, not -114. + + """ + resource = self.p_wchar() + lpBuffer = ctypes.cast(ctypes.byref(resource), wintypes.LPWSTR) + nchar = self.LoadStringW(self._tzres._handle, offset, lpBuffer, 0) + return resource[:nchar] + + def name_from_string(self, tzname_str): + """ + Parse strings as returned from the Windows registry into the time zone + name as defined in the registry. + + >>> from dateutil.tzwin import tzres + >>> tzr = tzres() + >>> print(tzr.name_from_string('@tzres.dll,-251')) + 'Dateline Daylight Time' + >>> print(tzr.name_from_string('Eastern Standard Time')) + 'Eastern Standard Time' + + :param tzname_str: + A timezone name string as returned from a Windows registry key. + + :return: + Returns the localized timezone string from tzres.dll if the string + is of the form `@tzres.dll,-offset`, else returns the input string. + """ + if not tzname_str.startswith('@'): + return tzname_str + + name_splt = tzname_str.split(',-') + try: + offset = int(name_splt[1]) + except: + raise ValueError("Malformed timezone string.") + + return self.load_name(offset) + + +class tzwinbase(tzrangebase): + """tzinfo class based on win32's timezones available in the registry.""" + def __init__(self): + raise NotImplementedError('tzwinbase is an abstract base class') + + def __eq__(self, other): + # Compare on all relevant dimensions, including name. + if not isinstance(other, tzwinbase): + return NotImplemented + + return (self._std_offset == other._std_offset and + self._dst_offset == other._dst_offset and + self._stddayofweek == other._stddayofweek and + self._dstdayofweek == other._dstdayofweek and + self._stdweeknumber == other._stdweeknumber and + self._dstweeknumber == other._dstweeknumber and + self._stdhour == other._stdhour and + self._dsthour == other._dsthour and + self._stdminute == other._stdminute and + self._dstminute == other._dstminute and + self._std_abbr == other._std_abbr and + self._dst_abbr == other._dst_abbr) + + @staticmethod + def list(): + """Return a list of all time zones known to the system.""" + with winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) as handle: + with winreg.OpenKey(handle, TZKEYNAME) as tzkey: + result = [winreg.EnumKey(tzkey, i) + for i in range(winreg.QueryInfoKey(tzkey)[0])] + return result + + def display(self): + """ + Return the display name of the time zone. + """ + return self._display + + def transitions(self, year): + """ + For a given year, get the DST on and off transition times, expressed + always on the standard time side. For zones with no transitions, this + function returns ``None``. + + :param year: + The year whose transitions you would like to query. + + :return: + Returns a :class:`tuple` of :class:`datetime.datetime` objects, + ``(dston, dstoff)`` for zones with an annual DST transition, or + ``None`` for fixed offset zones. + """ + + if not self.hasdst: + return None + + dston = picknthweekday(year, self._dstmonth, self._dstdayofweek, + self._dsthour, self._dstminute, + self._dstweeknumber) + + dstoff = picknthweekday(year, self._stdmonth, self._stddayofweek, + self._stdhour, self._stdminute, + self._stdweeknumber) + + # Ambiguous dates default to the STD side + dstoff -= self._dst_base_offset + + return dston, dstoff + + def _get_hasdst(self): + return self._dstmonth != 0 + + @property + def _dst_base_offset(self): + return self._dst_base_offset_ + + +class tzwin(tzwinbase): + """ + Time zone object created from the zone info in the Windows registry + + These are similar to :py:class:`dateutil.tz.tzrange` objects in that + the time zone data is provided in the format of a single offset rule + for either 0 or 2 time zone transitions per year. + + :param: name + The name of a Windows time zone key, e.g. "Eastern Standard Time". + The full list of keys can be retrieved with :func:`tzwin.list`. + """ + + def __init__(self, name): + self._name = name + + with winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) as handle: + tzkeyname = text_type("{kn}\\{name}").format(kn=TZKEYNAME, name=name) + with winreg.OpenKey(handle, tzkeyname) as tzkey: + keydict = valuestodict(tzkey) + + self._std_abbr = keydict["Std"] + self._dst_abbr = keydict["Dlt"] + + self._display = keydict["Display"] + + # See http://ww_winreg.jsiinc.com/SUBA/tip0300/rh0398.htm + tup = struct.unpack("=3l16h", keydict["TZI"]) + stdoffset = -tup[0]-tup[1] # Bias + StandardBias * -1 + dstoffset = stdoffset-tup[2] # + DaylightBias * -1 + self._std_offset = datetime.timedelta(minutes=stdoffset) + self._dst_offset = datetime.timedelta(minutes=dstoffset) + + # for the meaning see the win32 TIME_ZONE_INFORMATION structure docs + # http://msdn.microsoft.com/en-us/library/windows/desktop/ms725481(v=vs.85).aspx + (self._stdmonth, + self._stddayofweek, # Sunday = 0 + self._stdweeknumber, # Last = 5 + self._stdhour, + self._stdminute) = tup[4:9] + + (self._dstmonth, + self._dstdayofweek, # Sunday = 0 + self._dstweeknumber, # Last = 5 + self._dsthour, + self._dstminute) = tup[12:17] + + self._dst_base_offset_ = self._dst_offset - self._std_offset + self.hasdst = self._get_hasdst() + + def __repr__(self): + return "tzwin(%s)" % repr(self._name) + + def __reduce__(self): + return (self.__class__, (self._name,)) + + +class tzwinlocal(tzwinbase): + """ + Class representing the local time zone information in the Windows registry + + While :class:`dateutil.tz.tzlocal` makes system calls (via the :mod:`time` + module) to retrieve time zone information, ``tzwinlocal`` retrieves the + rules directly from the Windows registry and creates an object like + :class:`dateutil.tz.tzwin`. + + Because Windows does not have an equivalent of :func:`time.tzset`, on + Windows, :class:`dateutil.tz.tzlocal` instances will always reflect the + time zone settings *at the time that the process was started*, meaning + changes to the machine's time zone settings during the run of a program + on Windows will **not** be reflected by :class:`dateutil.tz.tzlocal`. + Because ``tzwinlocal`` reads the registry directly, it is unaffected by + this issue. + """ + def __init__(self): + with winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) as handle: + with winreg.OpenKey(handle, TZLOCALKEYNAME) as tzlocalkey: + keydict = valuestodict(tzlocalkey) + + self._std_abbr = keydict["StandardName"] + self._dst_abbr = keydict["DaylightName"] + + try: + tzkeyname = text_type('{kn}\\{sn}').format(kn=TZKEYNAME, + sn=self._std_abbr) + with winreg.OpenKey(handle, tzkeyname) as tzkey: + _keydict = valuestodict(tzkey) + self._display = _keydict["Display"] + except OSError: + self._display = None + + stdoffset = -keydict["Bias"]-keydict["StandardBias"] + dstoffset = stdoffset-keydict["DaylightBias"] + + self._std_offset = datetime.timedelta(minutes=stdoffset) + self._dst_offset = datetime.timedelta(minutes=dstoffset) + + # For reasons unclear, in this particular key, the day of week has been + # moved to the END of the SYSTEMTIME structure. + tup = struct.unpack("=8h", keydict["StandardStart"]) + + (self._stdmonth, + self._stdweeknumber, # Last = 5 + self._stdhour, + self._stdminute) = tup[1:5] + + self._stddayofweek = tup[7] + + tup = struct.unpack("=8h", keydict["DaylightStart"]) + + (self._dstmonth, + self._dstweeknumber, # Last = 5 + self._dsthour, + self._dstminute) = tup[1:5] + + self._dstdayofweek = tup[7] + + self._dst_base_offset_ = self._dst_offset - self._std_offset + self.hasdst = self._get_hasdst() + + def __repr__(self): + return "tzwinlocal()" + + def __str__(self): + # str will return the standard name, not the daylight name. + return "tzwinlocal(%s)" % repr(self._std_abbr) + + def __reduce__(self): + return (self.__class__, ()) + + +def picknthweekday(year, month, dayofweek, hour, minute, whichweek): + """ dayofweek == 0 means Sunday, whichweek 5 means last instance """ + first = datetime.datetime(year, month, 1, hour, minute) + + # This will work if dayofweek is ISO weekday (1-7) or Microsoft-style (0-6), + # Because 7 % 7 = 0 + weekdayone = first.replace(day=((dayofweek - first.isoweekday()) % 7) + 1) + wd = weekdayone + ((whichweek - 1) * ONEWEEK) + if (wd.month != month): + wd -= ONEWEEK + + return wd + + +def valuestodict(key): + """Convert a registry key's values to a dictionary.""" + dout = {} + size = winreg.QueryInfoKey(key)[1] + tz_res = None + + for i in range(size): + key_name, value, dtype = winreg.EnumValue(key, i) + if dtype == winreg.REG_DWORD or dtype == winreg.REG_DWORD_LITTLE_ENDIAN: + # If it's a DWORD (32-bit integer), it's stored as unsigned - convert + # that to a proper signed integer + if value & (1 << 31): + value = value - (1 << 32) + elif dtype == winreg.REG_SZ: + # If it's a reference to the tzres DLL, load the actual string + if value.startswith('@tzres'): + tz_res = tz_res or tzres() + value = tz_res.name_from_string(value) + + value = value.rstrip('\x00') # Remove trailing nulls + + dout[key_name] = value + + return dout diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tzwin.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tzwin.py new file mode 100644 index 0000000000000000000000000000000000000000..cebc673e40fc376653ebf037e96f0a6d0b33e906 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/tzwin.py @@ -0,0 +1,2 @@ +# tzwin has moved to dateutil.tz.win +from .tz.win import * diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/utils.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..dd2d245a0bebcd5fc37ac20526aabbd5358dab0e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/utils.py @@ -0,0 +1,71 @@ +# -*- coding: utf-8 -*- +""" +This module offers general convenience and utility functions for dealing with +datetimes. + +.. versionadded:: 2.7.0 +""" +from __future__ import unicode_literals + +from datetime import datetime, time + + +def today(tzinfo=None): + """ + Returns a :py:class:`datetime` representing the current day at midnight + + :param tzinfo: + The time zone to attach (also used to determine the current day). + + :return: + A :py:class:`datetime.datetime` object representing the current day + at midnight. + """ + + dt = datetime.now(tzinfo) + return datetime.combine(dt.date(), time(0, tzinfo=tzinfo)) + + +def default_tzinfo(dt, tzinfo): + """ + Sets the ``tzinfo`` parameter on naive datetimes only + + This is useful for example when you are provided a datetime that may have + either an implicit or explicit time zone, such as when parsing a time zone + string. + + .. doctest:: + + >>> from dateutil.tz import tzoffset + >>> from dateutil.parser import parse + >>> from dateutil.utils import default_tzinfo + >>> dflt_tz = tzoffset("EST", -18000) + >>> print(default_tzinfo(parse('2014-01-01 12:30 UTC'), dflt_tz)) + 2014-01-01 12:30:00+00:00 + >>> print(default_tzinfo(parse('2014-01-01 12:30'), dflt_tz)) + 2014-01-01 12:30:00-05:00 + + :param dt: + The datetime on which to replace the time zone + + :param tzinfo: + The :py:class:`datetime.tzinfo` subclass instance to assign to + ``dt`` if (and only if) it is naive. + + :return: + Returns an aware :py:class:`datetime.datetime`. + """ + if dt.tzinfo is not None: + return dt + else: + return dt.replace(tzinfo=tzinfo) + + +def within_delta(dt1, dt2, delta): + """ + Useful for comparing two datetimes that may have a negligible difference + to be considered equal. + """ + delta = abs(delta) + difference = dt1 - dt2 + return -delta <= difference <= delta diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/zoneinfo/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/zoneinfo/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..34f11ad66c88047f2c049a4cdcc937b4b78ea6d6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/zoneinfo/__init__.py @@ -0,0 +1,167 @@ +# -*- coding: utf-8 -*- +import warnings +import json + +from tarfile import TarFile +from pkgutil import get_data +from io import BytesIO + +from dateutil.tz import tzfile as _tzfile + +__all__ = ["get_zonefile_instance", "gettz", "gettz_db_metadata"] + +ZONEFILENAME = "dateutil-zoneinfo.tar.gz" +METADATA_FN = 'METADATA' + + +class tzfile(_tzfile): + def __reduce__(self): + return (gettz, (self._filename,)) + + +def getzoneinfofile_stream(): + try: + return BytesIO(get_data(__name__, ZONEFILENAME)) + except IOError as e: # TODO switch to FileNotFoundError? + warnings.warn("I/O error({0}): {1}".format(e.errno, e.strerror)) + return None + + +class ZoneInfoFile(object): + def __init__(self, zonefile_stream=None): + if zonefile_stream is not None: + with TarFile.open(fileobj=zonefile_stream) as tf: + self.zones = {zf.name: tzfile(tf.extractfile(zf), filename=zf.name) + for zf in tf.getmembers() + if zf.isfile() and zf.name != METADATA_FN} + # deal with links: They'll point to their parent object. Less + # waste of memory + links = {zl.name: self.zones[zl.linkname] + for zl in tf.getmembers() if + zl.islnk() or zl.issym()} + self.zones.update(links) + try: + metadata_json = tf.extractfile(tf.getmember(METADATA_FN)) + metadata_str = metadata_json.read().decode('UTF-8') + self.metadata = json.loads(metadata_str) + except KeyError: + # no metadata in tar file + self.metadata = None + else: + self.zones = {} + self.metadata = None + + def get(self, name, default=None): + """ + Wrapper for :func:`ZoneInfoFile.zones.get`. This is a convenience method + for retrieving zones from the zone dictionary. + + :param name: + The name of the zone to retrieve. (Generally IANA zone names) + + :param default: + The value to return in the event of a missing key. + + .. versionadded:: 2.6.0 + + """ + return self.zones.get(name, default) + + +# The current API has gettz as a module function, although in fact it taps into +# a stateful class. So as a workaround for now, without changing the API, we +# will create a new "global" class instance the first time a user requests a +# timezone. Ugly, but adheres to the api. +# +# TODO: Remove after deprecation period. +_CLASS_ZONE_INSTANCE = [] + + +def get_zonefile_instance(new_instance=False): + """ + This is a convenience function which provides a :class:`ZoneInfoFile` + instance using the data provided by the ``dateutil`` package. By default, it + caches a single instance of the ZoneInfoFile object and returns that. + + :param new_instance: + If ``True``, a new instance of :class:`ZoneInfoFile` is instantiated and + used as the cached instance for the next call. Otherwise, new instances + are created only as necessary. + + :return: + Returns a :class:`ZoneInfoFile` object. + + .. versionadded:: 2.6 + """ + if new_instance: + zif = None + else: + zif = getattr(get_zonefile_instance, '_cached_instance', None) + + if zif is None: + zif = ZoneInfoFile(getzoneinfofile_stream()) + + get_zonefile_instance._cached_instance = zif + + return zif + + +def gettz(name): + """ + This retrieves a time zone from the local zoneinfo tarball that is packaged + with dateutil. + + :param name: + An IANA-style time zone name, as found in the zoneinfo file. + + :return: + Returns a :class:`dateutil.tz.tzfile` time zone object. + + .. warning:: + It is generally inadvisable to use this function, and it is only + provided for API compatibility with earlier versions. This is *not* + equivalent to ``dateutil.tz.gettz()``, which selects an appropriate + time zone based on the inputs, favoring system zoneinfo. This is ONLY + for accessing the dateutil-specific zoneinfo (which may be out of + date compared to the system zoneinfo). + + .. deprecated:: 2.6 + If you need to use a specific zoneinfofile over the system zoneinfo, + instantiate a :class:`dateutil.zoneinfo.ZoneInfoFile` object and call + :func:`dateutil.zoneinfo.ZoneInfoFile.get(name)` instead. + + Use :func:`get_zonefile_instance` to retrieve an instance of the + dateutil-provided zoneinfo. + """ + warnings.warn("zoneinfo.gettz() will be removed in future versions, " + "to use the dateutil-provided zoneinfo files, instantiate a " + "ZoneInfoFile object and use ZoneInfoFile.zones.get() " + "instead. See the documentation for details.", + DeprecationWarning) + + if len(_CLASS_ZONE_INSTANCE) == 0: + _CLASS_ZONE_INSTANCE.append(ZoneInfoFile(getzoneinfofile_stream())) + return _CLASS_ZONE_INSTANCE[0].zones.get(name) + + +def gettz_db_metadata(): + """ Get the zonefile metadata + + See `zonefile_metadata`_ + + :returns: + A dictionary with the database metadata + + .. deprecated:: 2.6 + See deprecation warning in :func:`zoneinfo.gettz`. To get metadata, + query the attribute ``zoneinfo.ZoneInfoFile.metadata``. + """ + warnings.warn("zoneinfo.gettz_db_metadata() will be removed in future " + "versions, to use the dateutil-provided zoneinfo files, " + "ZoneInfoFile object and query the 'metadata' attribute " + "instead. See the documentation for details.", + DeprecationWarning) + + if len(_CLASS_ZONE_INSTANCE) == 0: + _CLASS_ZONE_INSTANCE.append(ZoneInfoFile(getzoneinfofile_stream())) + return _CLASS_ZONE_INSTANCE[0].metadata diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/zoneinfo/dateutil-zoneinfo.tar.gz b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/zoneinfo/dateutil-zoneinfo.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..ff62a934a5009337271c60501278a7a34913a20b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/zoneinfo/dateutil-zoneinfo.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d3ea52e7b6e968de0d884df1288193596fa95b803db4f92a18279a7398004475 +size 156400 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/zoneinfo/rebuild.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/zoneinfo/rebuild.py new file mode 100644 index 0000000000000000000000000000000000000000..684c6586f091350c347f2b6150935f5214ffec27 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dateutil/zoneinfo/rebuild.py @@ -0,0 +1,75 @@ +import logging +import os +import tempfile +import shutil +import json +from subprocess import check_call, check_output +from tarfile import TarFile + +from dateutil.zoneinfo import METADATA_FN, ZONEFILENAME + + +def rebuild(filename, tag=None, format="gz", zonegroups=[], metadata=None): + """Rebuild the internal timezone info in dateutil/zoneinfo/zoneinfo*tar* + + filename is the timezone tarball from ``ftp.iana.org/tz``. + + """ + tmpdir = tempfile.mkdtemp() + zonedir = os.path.join(tmpdir, "zoneinfo") + moduledir = os.path.dirname(__file__) + try: + with TarFile.open(filename) as tf: + for name in zonegroups: + tf.extract(name, tmpdir) + filepaths = [os.path.join(tmpdir, n) for n in zonegroups] + + _run_zic(zonedir, filepaths) + + # write metadata file + with open(os.path.join(zonedir, METADATA_FN), 'w') as f: + json.dump(metadata, f, indent=4, sort_keys=True) + target = os.path.join(moduledir, ZONEFILENAME) + with TarFile.open(target, "w:%s" % format) as tf: + for entry in os.listdir(zonedir): + entrypath = os.path.join(zonedir, entry) + tf.add(entrypath, entry) + finally: + shutil.rmtree(tmpdir) + + +def _run_zic(zonedir, filepaths): + """Calls the ``zic`` compiler in a compatible way to get a "fat" binary. + + Recent versions of ``zic`` default to ``-b slim``, while older versions + don't even have the ``-b`` option (but default to "fat" binaries). The + current version of dateutil does not support Version 2+ TZif files, which + causes problems when used in conjunction with "slim" binaries, so this + function is used to ensure that we always get a "fat" binary. + """ + + try: + help_text = check_output(["zic", "--help"]) + except OSError as e: + _print_on_nosuchfile(e) + raise + + if b"-b " in help_text: + bloat_args = ["-b", "fat"] + else: + bloat_args = [] + + check_call(["zic"] + bloat_args + ["-d", zonedir] + filepaths) + + +def _print_on_nosuchfile(e): + """Print helpful troubleshooting message + + e is an exception raised by subprocess.check_call() + + """ + if e.errno == 2: + logging.error( + "Could not find zic. Perhaps you need to install " + "libc-bin or some other package that provides it, " + "or it's not in your PATH?") diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..1eb999e0babe28897c4544d034b36f5f0fe77ca6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/LICENSE @@ -0,0 +1,35 @@ +Copyright (c) 2004-2016 California Institute of Technology. +Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +All rights reserved. + +This software is available subject to the conditions and terms laid +out below. By downloading and using this software you are agreeing +to the following conditions. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions +are met: + + - Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + - Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + + - Neither the names of the copyright holders nor the names of any of + the contributors may be used to endorse or promote products derived + from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED +TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR +PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR +CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, +EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, +PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; +OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, +WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR +OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF +ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..79509850401450817ad338cd856c35cf78c2b3e4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/METADATA @@ -0,0 +1,280 @@ +Metadata-Version: 2.1 +Name: dill +Version: 0.3.8 +Summary: serialize all of Python +Home-page: https://github.com/uqfoundation/dill +Author: Mike McKerns +Author-email: mmckerns@uqfoundation.org +Maintainer: Mike McKerns +Maintainer-email: mmckerns@uqfoundation.org +License: BSD-3-Clause +Download-URL: https://pypi.org/project/dill/#files +Project-URL: Documentation, http://dill.rtfd.io +Project-URL: Source Code, https://github.com/uqfoundation/dill +Project-URL: Bug Tracker, https://github.com/uqfoundation/dill/issues +Platform: Linux +Platform: Windows +Platform: Mac +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: Intended Audience :: Science/Research +Classifier: License :: OSI Approved :: BSD License +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: Implementation :: CPython +Classifier: Programming Language :: Python :: Implementation :: PyPy +Classifier: Topic :: Scientific/Engineering +Classifier: Topic :: Software Development +Requires-Python: >=3.8 +Provides-Extra: graph +Requires-Dist: objgraph (>=1.7.2) ; extra == 'graph' +Provides-Extra: profile +Requires-Dist: gprof2dot (>=2022.7.29) ; extra == 'profile' +Provides-Extra: readline + +----------------------------- +dill: serialize all of Python +----------------------------- + +About Dill +========== + +``dill`` extends Python's ``pickle`` module for serializing and de-serializing +Python objects to the majority of the built-in Python types. Serialization +is the process of converting an object to a byte stream, and the inverse +of which is converting a byte stream back to a Python object hierarchy. + +``dill`` provides the user the same interface as the ``pickle`` module, and +also includes some additional features. In addition to pickling Python +objects, ``dill`` provides the ability to save the state of an interpreter +session in a single command. Hence, it would be feasible to save an +interpreter session, close the interpreter, ship the pickled file to +another computer, open a new interpreter, unpickle the session and +thus continue from the 'saved' state of the original interpreter +session. + +``dill`` can be used to store Python objects to a file, but the primary +usage is to send Python objects across the network as a byte stream. +``dill`` is quite flexible, and allows arbitrary user defined classes +and functions to be serialized. Thus ``dill`` is not intended to be +secure against erroneously or maliciously constructed data. It is +left to the user to decide whether the data they unpickle is from +a trustworthy source. + +``dill`` is part of ``pathos``, a Python framework for heterogeneous computing. +``dill`` is in active development, so any user feedback, bug reports, comments, +or suggestions are highly appreciated. A list of issues is located at +https://github.com/uqfoundation/dill/issues, with a legacy list maintained at +https://uqfoundation.github.io/project/pathos/query. + + +Major Features +============== + +``dill`` can pickle the following standard types: + + - none, type, bool, int, float, complex, bytes, str, + - tuple, list, dict, file, buffer, builtin, + - Python classes, namedtuples, dataclasses, metaclasses, + - instances of classes, + - set, frozenset, array, functions, exceptions + +``dill`` can also pickle more 'exotic' standard types: + + - functions with yields, nested functions, lambdas, + - cell, method, unboundmethod, module, code, methodwrapper, + - methoddescriptor, getsetdescriptor, memberdescriptor, wrapperdescriptor, + - dictproxy, slice, notimplemented, ellipsis, quit + +``dill`` cannot yet pickle these standard types: + + - frame, generator, traceback + +``dill`` also provides the capability to: + + - save and load Python interpreter sessions + - save and extract the source code from functions and classes + - interactively diagnose pickling errors + + +Current Release +=============== + +The latest released version of ``dill`` is available from: + + https://pypi.org/project/dill + +``dill`` is distributed under a 3-clause BSD license. + + +Development Version +=================== + +You can get the latest development version with all the shiny new features at: + + https://github.com/uqfoundation + +If you have a new contribution, please submit a pull request. + + +Installation +============ + +``dill`` can be installed with ``pip``:: + + $ pip install dill + +To optionally include the ``objgraph`` diagnostic tool in the install:: + + $ pip install dill[graph] + +To optionally include the ``gprof2dot`` diagnostic tool in the install:: + + $ pip install dill[profile] + +For windows users, to optionally install session history tools:: + + $ pip install dill[readline] + + +Requirements +============ + +``dill`` requires: + + - ``python`` (or ``pypy``), **>=3.8** + - ``setuptools``, **>=42** + +Optional requirements: + + - ``objgraph``, **>=1.7.2** + - ``gprof2dot``, **>=2022.7.29** + - ``pyreadline``, **>=1.7.1** (on windows) + + +Basic Usage +=========== + +``dill`` is a drop-in replacement for ``pickle``. Existing code can be +updated to allow complete pickling using:: + + >>> import dill as pickle + +or:: + + >>> from dill import dumps, loads + +``dumps`` converts the object to a unique byte string, and ``loads`` performs +the inverse operation:: + + >>> squared = lambda x: x**2 + >>> loads(dumps(squared))(3) + 9 + +There are a number of options to control serialization which are provided +as keyword arguments to several ``dill`` functions: + +* with *protocol*, the pickle protocol level can be set. This uses the + same value as the ``pickle`` module, *DEFAULT_PROTOCOL*. +* with *byref=True*, ``dill`` to behave a lot more like pickle with + certain objects (like modules) pickled by reference as opposed to + attempting to pickle the object itself. +* with *recurse=True*, objects referred to in the global dictionary are + recursively traced and pickled, instead of the default behavior of + attempting to store the entire global dictionary. +* with *fmode*, the contents of the file can be pickled along with the file + handle, which is useful if the object is being sent over the wire to a + remote system which does not have the original file on disk. Options are + *HANDLE_FMODE* for just the handle, *CONTENTS_FMODE* for the file content + and *FILE_FMODE* for content and handle. +* with *ignore=False*, objects reconstructed with types defined in the + top-level script environment use the existing type in the environment + rather than a possibly different reconstructed type. + +The default serialization can also be set globally in *dill.settings*. +Thus, we can modify how ``dill`` handles references to the global dictionary +locally or globally:: + + >>> import dill.settings + >>> dumps(absolute) == dumps(absolute, recurse=True) + False + >>> dill.settings['recurse'] = True + >>> dumps(absolute) == dumps(absolute, recurse=True) + True + +``dill`` also includes source code inspection, as an alternate to pickling:: + + >>> import dill.source + >>> print(dill.source.getsource(squared)) + squared = lambda x:x**2 + +To aid in debugging pickling issues, use *dill.detect* which provides +tools like pickle tracing:: + + >>> import dill.detect + >>> with dill.detect.trace(): + >>> dumps(squared) + ┬ F1: at 0x7fe074f8c280> + ├┬ F2: + │└ # F2 [34 B] + ├┬ Co: at 0x7fe07501eb30, file "", line 1> + │├┬ F2: + ││└ # F2 [19 B] + │└ # Co [87 B] + ├┬ D1: + │└ # D1 [22 B] + ├┬ D2: + │└ # D2 [2 B] + ├┬ D2: + │├┬ D2: + ││└ # D2 [2 B] + │└ # D2 [23 B] + └ # F1 [180 B] + +With trace, we see how ``dill`` stored the lambda (``F1``) by first storing +``_create_function``, the underlying code object (``Co``) and ``_create_code`` +(which is used to handle code objects), then we handle the reference to +the global dict (``D2``) plus other dictionaries (``D1`` and ``D2``) that +save the lambda object's state. A ``#`` marks when the object is actually stored. + + +More Information +================ + +Probably the best way to get started is to look at the documentation at +http://dill.rtfd.io. Also see ``dill.tests`` for a set of scripts that +demonstrate how ``dill`` can serialize different Python objects. You can +run the test suite with ``python -m dill.tests``. The contents of any +pickle file can be examined with ``undill``. As ``dill`` conforms to +the ``pickle`` interface, the examples and documentation found at +http://docs.python.org/library/pickle.html also apply to ``dill`` +if one will ``import dill as pickle``. The source code is also generally +well documented, so further questions may be resolved by inspecting the +code itself. Please feel free to submit a ticket on github, or ask a +question on stackoverflow (**@Mike McKerns**). +If you would like to share how you use ``dill`` in your work, please send +an email (to **mmckerns at uqfoundation dot org**). + + +Citation +======== + +If you use ``dill`` to do research that leads to publication, we ask that you +acknowledge use of ``dill`` by citing the following in your publication:: + + M.M. McKerns, L. Strand, T. Sullivan, A. Fang, M.A.G. Aivazis, + "Building a framework for predictive science", Proceedings of + the 10th Python in Science Conference, 2011; + http://arxiv.org/pdf/1202.1056 + + Michael McKerns and Michael Aivazis, + "pathos: a framework for heterogeneous computing", 2010- ; + https://uqfoundation.github.io/project/pathos + +Please see https://uqfoundation.github.io/project/pathos or +http://arxiv.org/pdf/1202.1056 for further information. + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..22121befb27a9100f22b4d35a334eada88d118c2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/RECORD @@ -0,0 +1,97 @@ +../../../bin/get_gprof,sha256=zADZ0WT1KraKZ7qHo2Em_do43XksNMC4H5QJUW6b-IA,2479 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b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/WHEEL @@ -0,0 +1,5 @@ +Wheel-Version: 1.0 +Generator: bdist_wheel (0.37.1) +Root-Is-Purelib: true +Tag: py3-none-any + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/top_level.txt b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..85eea7018a40c657c08ef73fcf3a39024b2df2cb --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill-0.3.8.dist-info/top_level.txt @@ -0,0 +1 @@ +dill diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/__diff.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/__diff.py new file mode 100644 index 0000000000000000000000000000000000000000..8a8937534fac7f4791a2883cbc65eee9d45b56e5 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/__diff.py @@ -0,0 +1,234 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +""" +Module to show if an object has changed since it was memorised +""" + +import builtins +import os +import sys +import types +try: + import numpy + HAS_NUMPY = True +except ImportError: + HAS_NUMPY = False + +# pypy doesn't use reference counting +getrefcount = getattr(sys, 'getrefcount', lambda x:0) + +# memo of objects indexed by id to a tuple (attributes, sequence items) +# attributes is a dict indexed by attribute name to attribute id +# sequence items is either a list of ids, of a dictionary of keys to ids +memo = {} +id_to_obj = {} +# types that cannot have changing attributes +builtins_types = set((str, list, dict, set, frozenset, int)) +dont_memo = set(id(i) for i in (memo, sys.modules, sys.path_importer_cache, + os.environ, id_to_obj)) + + +def get_attrs(obj): + """ + Gets all the attributes of an object though its __dict__ or return None + """ + if type(obj) in builtins_types \ + or type(obj) is type and obj in builtins_types: + return + return getattr(obj, '__dict__', None) + + +def get_seq(obj, cache={str: False, frozenset: False, list: True, set: True, + dict: True, tuple: True, type: False, + types.ModuleType: False, types.FunctionType: False, + types.BuiltinFunctionType: False}): + """ + Gets all the items in a sequence or return None + """ + try: + o_type = obj.__class__ + except AttributeError: + o_type = type(obj) + hsattr = hasattr + if o_type in cache: + if cache[o_type]: + if hsattr(obj, "copy"): + return obj.copy() + return obj + elif HAS_NUMPY and o_type in (numpy.ndarray, numpy.ma.core.MaskedConstant): + if obj.shape and obj.size: + return obj + else: + return [] + elif hsattr(obj, "__contains__") and hsattr(obj, "__iter__") \ + and hsattr(obj, "__len__") and hsattr(o_type, "__contains__") \ + and hsattr(o_type, "__iter__") and hsattr(o_type, "__len__"): + cache[o_type] = True + if hsattr(obj, "copy"): + return obj.copy() + return obj + else: + cache[o_type] = False + return None + + +def memorise(obj, force=False): + """ + Adds an object to the memo, and recursively adds all the objects + attributes, and if it is a container, its items. Use force=True to update + an object already in the memo. Updating is not recursively done. + """ + obj_id = id(obj) + if obj_id in memo and not force or obj_id in dont_memo: + return + id_ = id + g = get_attrs(obj) + if g is None: + attrs_id = None + else: + attrs_id = dict((key,id_(value)) for key, value in g.items()) + + s = get_seq(obj) + if s is None: + seq_id = None + elif hasattr(s, "items"): + seq_id = dict((id_(key),id_(value)) for key, value in s.items()) + elif not hasattr(s, "__len__"): #XXX: avoid TypeError from unexpected case + seq_id = None + else: + seq_id = [id_(i) for i in s] + + memo[obj_id] = attrs_id, seq_id + id_to_obj[obj_id] = obj + mem = memorise + if g is not None: + [mem(value) for key, value in g.items()] + + if s is not None: + if hasattr(s, "items"): + [(mem(key), mem(item)) + for key, item in s.items()] + else: + if hasattr(s, '__len__'): + [mem(item) for item in s] + else: mem(s) + + +def release_gone(): + itop, mp, src = id_to_obj.pop, memo.pop, getrefcount + [(itop(id_), mp(id_)) for id_, obj in list(id_to_obj.items()) + if src(obj) < 4] #XXX: correct for pypy? + + +def whats_changed(obj, seen=None, simple=False, first=True): + """ + Check an object against the memo. Returns a list in the form + (attribute changes, container changed). Attribute changes is a dict of + attribute name to attribute value. container changed is a boolean. + If simple is true, just returns a boolean. None for either item means + that it has not been checked yet + """ + # Special cases + if first: + # ignore the _ variable, which only appears in interactive sessions + if "_" in builtins.__dict__: + del builtins._ + if seen is None: + seen = {} + + obj_id = id(obj) + + if obj_id in seen: + if simple: + return any(seen[obj_id]) + return seen[obj_id] + + # Safety checks + if obj_id in dont_memo: + seen[obj_id] = [{}, False] + if simple: + return False + return seen[obj_id] + elif obj_id not in memo: + if simple: + return True + else: + raise RuntimeError("Object not memorised " + str(obj)) + + seen[obj_id] = ({}, False) + + chngd = whats_changed + id_ = id + + # compare attributes + attrs = get_attrs(obj) + if attrs is None: + changed = {} + else: + obj_attrs = memo[obj_id][0] + obj_get = obj_attrs.get + changed = dict((key,None) for key in obj_attrs if key not in attrs) + for key, o in attrs.items(): + if id_(o) != obj_get(key, None) or chngd(o, seen, True, False): + changed[key] = o + + # compare sequence + items = get_seq(obj) + seq_diff = False + if (items is not None) and (hasattr(items, '__len__')): + obj_seq = memo[obj_id][1] + if (len(items) != len(obj_seq)): + seq_diff = True + elif hasattr(obj, "items"): # dict type obj + obj_get = obj_seq.get + for key, item in items.items(): + if id_(item) != obj_get(id_(key)) \ + or chngd(key, seen, True, False) \ + or chngd(item, seen, True, False): + seq_diff = True + break + else: + for i, j in zip(items, obj_seq): # list type obj + if id_(i) != j or chngd(i, seen, True, False): + seq_diff = True + break + seen[obj_id] = changed, seq_diff + if simple: + return changed or seq_diff + return changed, seq_diff + + +def has_changed(*args, **kwds): + kwds['simple'] = True # ignore simple if passed in + return whats_changed(*args, **kwds) + +__import__ = __import__ + + +def _imp(*args, **kwds): + """ + Replaces the default __import__, to allow a module to be memorised + before the user can change it + """ + before = set(sys.modules.keys()) + mod = __import__(*args, **kwds) + after = set(sys.modules.keys()).difference(before) + for m in after: + memorise(sys.modules[m]) + return mod + +builtins.__import__ = _imp +if hasattr(builtins, "_"): + del builtins._ + +# memorise all already imported modules. This implies that this must be +# imported first for any changes to be recorded +for mod in list(sys.modules.values()): + memorise(mod) +release_gone() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/__info__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/__info__.py new file mode 100644 index 0000000000000000000000000000000000000000..a4592c4eff9961d8b9a6c14af7f1cfa45bc4d9ab --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/__info__.py @@ -0,0 +1,291 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +''' +----------------------------- +dill: serialize all of Python +----------------------------- + +About Dill +========== + +``dill`` extends Python's ``pickle`` module for serializing and de-serializing +Python objects to the majority of the built-in Python types. Serialization +is the process of converting an object to a byte stream, and the inverse +of which is converting a byte stream back to a Python object hierarchy. + +``dill`` provides the user the same interface as the ``pickle`` module, and +also includes some additional features. In addition to pickling Python +objects, ``dill`` provides the ability to save the state of an interpreter +session in a single command. Hence, it would be feasible to save an +interpreter session, close the interpreter, ship the pickled file to +another computer, open a new interpreter, unpickle the session and +thus continue from the 'saved' state of the original interpreter +session. + +``dill`` can be used to store Python objects to a file, but the primary +usage is to send Python objects across the network as a byte stream. +``dill`` is quite flexible, and allows arbitrary user defined classes +and functions to be serialized. Thus ``dill`` is not intended to be +secure against erroneously or maliciously constructed data. It is +left to the user to decide whether the data they unpickle is from +a trustworthy source. + +``dill`` is part of ``pathos``, a Python framework for heterogeneous computing. +``dill`` is in active development, so any user feedback, bug reports, comments, +or suggestions are highly appreciated. A list of issues is located at +https://github.com/uqfoundation/dill/issues, with a legacy list maintained at +https://uqfoundation.github.io/project/pathos/query. + + +Major Features +============== + +``dill`` can pickle the following standard types: + + - none, type, bool, int, float, complex, bytes, str, + - tuple, list, dict, file, buffer, builtin, + - Python classes, namedtuples, dataclasses, metaclasses, + - instances of classes, + - set, frozenset, array, functions, exceptions + +``dill`` can also pickle more 'exotic' standard types: + + - functions with yields, nested functions, lambdas, + - cell, method, unboundmethod, module, code, methodwrapper, + - methoddescriptor, getsetdescriptor, memberdescriptor, wrapperdescriptor, + - dictproxy, slice, notimplemented, ellipsis, quit + +``dill`` cannot yet pickle these standard types: + + - frame, generator, traceback + +``dill`` also provides the capability to: + + - save and load Python interpreter sessions + - save and extract the source code from functions and classes + - interactively diagnose pickling errors + + +Current Release +=============== + +The latest released version of ``dill`` is available from: + + https://pypi.org/project/dill + +``dill`` is distributed under a 3-clause BSD license. + + +Development Version +=================== + +You can get the latest development version with all the shiny new features at: + + https://github.com/uqfoundation + +If you have a new contribution, please submit a pull request. + + +Installation +============ + +``dill`` can be installed with ``pip``:: + + $ pip install dill + +To optionally include the ``objgraph`` diagnostic tool in the install:: + + $ pip install dill[graph] + +To optionally include the ``gprof2dot`` diagnostic tool in the install:: + + $ pip install dill[profile] + +For windows users, to optionally install session history tools:: + + $ pip install dill[readline] + + +Requirements +============ + +``dill`` requires: + + - ``python`` (or ``pypy``), **>=3.8** + - ``setuptools``, **>=42** + +Optional requirements: + + - ``objgraph``, **>=1.7.2** + - ``gprof2dot``, **>=2022.7.29** + - ``pyreadline``, **>=1.7.1** (on windows) + + +Basic Usage +=========== + +``dill`` is a drop-in replacement for ``pickle``. Existing code can be +updated to allow complete pickling using:: + + >>> import dill as pickle + +or:: + + >>> from dill import dumps, loads + +``dumps`` converts the object to a unique byte string, and ``loads`` performs +the inverse operation:: + + >>> squared = lambda x: x**2 + >>> loads(dumps(squared))(3) + 9 + +There are a number of options to control serialization which are provided +as keyword arguments to several ``dill`` functions: + +* with *protocol*, the pickle protocol level can be set. This uses the + same value as the ``pickle`` module, *DEFAULT_PROTOCOL*. +* with *byref=True*, ``dill`` to behave a lot more like pickle with + certain objects (like modules) pickled by reference as opposed to + attempting to pickle the object itself. +* with *recurse=True*, objects referred to in the global dictionary are + recursively traced and pickled, instead of the default behavior of + attempting to store the entire global dictionary. +* with *fmode*, the contents of the file can be pickled along with the file + handle, which is useful if the object is being sent over the wire to a + remote system which does not have the original file on disk. Options are + *HANDLE_FMODE* for just the handle, *CONTENTS_FMODE* for the file content + and *FILE_FMODE* for content and handle. +* with *ignore=False*, objects reconstructed with types defined in the + top-level script environment use the existing type in the environment + rather than a possibly different reconstructed type. + +The default serialization can also be set globally in *dill.settings*. +Thus, we can modify how ``dill`` handles references to the global dictionary +locally or globally:: + + >>> import dill.settings + >>> dumps(absolute) == dumps(absolute, recurse=True) + False + >>> dill.settings['recurse'] = True + >>> dumps(absolute) == dumps(absolute, recurse=True) + True + +``dill`` also includes source code inspection, as an alternate to pickling:: + + >>> import dill.source + >>> print(dill.source.getsource(squared)) + squared = lambda x:x**2 + +To aid in debugging pickling issues, use *dill.detect* which provides +tools like pickle tracing:: + + >>> import dill.detect + >>> with dill.detect.trace(): + >>> dumps(squared) + ┬ F1: at 0x7fe074f8c280> + ├┬ F2: + │└ # F2 [34 B] + ├┬ Co: at 0x7fe07501eb30, file "", line 1> + │├┬ F2: + ││└ # F2 [19 B] + │└ # Co [87 B] + ├┬ D1: + │└ # D1 [22 B] + ├┬ D2: + │└ # D2 [2 B] + ├┬ D2: + │├┬ D2: + ││└ # D2 [2 B] + │└ # D2 [23 B] + └ # F1 [180 B] + +With trace, we see how ``dill`` stored the lambda (``F1``) by first storing +``_create_function``, the underlying code object (``Co``) and ``_create_code`` +(which is used to handle code objects), then we handle the reference to +the global dict (``D2``) plus other dictionaries (``D1`` and ``D2``) that +save the lambda object's state. A ``#`` marks when the object is actually stored. + + +More Information +================ + +Probably the best way to get started is to look at the documentation at +http://dill.rtfd.io. Also see ``dill.tests`` for a set of scripts that +demonstrate how ``dill`` can serialize different Python objects. You can +run the test suite with ``python -m dill.tests``. The contents of any +pickle file can be examined with ``undill``. As ``dill`` conforms to +the ``pickle`` interface, the examples and documentation found at +http://docs.python.org/library/pickle.html also apply to ``dill`` +if one will ``import dill as pickle``. The source code is also generally +well documented, so further questions may be resolved by inspecting the +code itself. Please feel free to submit a ticket on github, or ask a +question on stackoverflow (**@Mike McKerns**). +If you would like to share how you use ``dill`` in your work, please send +an email (to **mmckerns at uqfoundation dot org**). + + +Citation +======== + +If you use ``dill`` to do research that leads to publication, we ask that you +acknowledge use of ``dill`` by citing the following in your publication:: + + M.M. McKerns, L. Strand, T. Sullivan, A. Fang, M.A.G. Aivazis, + "Building a framework for predictive science", Proceedings of + the 10th Python in Science Conference, 2011; + http://arxiv.org/pdf/1202.1056 + + Michael McKerns and Michael Aivazis, + "pathos: a framework for heterogeneous computing", 2010- ; + https://uqfoundation.github.io/project/pathos + +Please see https://uqfoundation.github.io/project/pathos or +http://arxiv.org/pdf/1202.1056 for further information. + +''' + +__version__ = '0.3.8' +__author__ = 'Mike McKerns' + +__license__ = ''' +Copyright (c) 2004-2016 California Institute of Technology. +Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +All rights reserved. + +This software is available subject to the conditions and terms laid +out below. By downloading and using this software you are agreeing +to the following conditions. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions +are met: + + - Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + - Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + + - Neither the names of the copyright holders nor the names of any of + the contributors may be used to endorse or promote products derived + from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED +TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR +PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR +CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, +EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, +PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; +OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, +WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR +OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF +ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +''' diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..549048a438d42547473768f914d13dba3a4a7b71 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/__init__.py @@ -0,0 +1,119 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +# author, version, license, and long description +try: # the package is installed + from .__info__ import __version__, __author__, __doc__, __license__ +except: # pragma: no cover + import os + import sys + parent = os.path.dirname(os.path.abspath(os.path.dirname(__file__))) + sys.path.append(parent) + # get distribution meta info + from version import (__version__, __author__, + get_license_text, get_readme_as_rst) + __license__ = get_license_text(os.path.join(parent, 'LICENSE')) + __license__ = "\n%s" % __license__ + __doc__ = get_readme_as_rst(os.path.join(parent, 'README.md')) + del os, sys, parent, get_license_text, get_readme_as_rst + + +from ._dill import ( + dump, dumps, load, loads, copy, + Pickler, Unpickler, register, pickle, pickles, check, + DEFAULT_PROTOCOL, HIGHEST_PROTOCOL, HANDLE_FMODE, CONTENTS_FMODE, FILE_FMODE, + PickleError, PickleWarning, PicklingError, PicklingWarning, UnpicklingError, + UnpicklingWarning, +) +from .session import ( + dump_module, load_module, load_module_asdict, + dump_session, load_session # backward compatibility +) +from . import detect, logger, session, source, temp + +# get global settings +from .settings import settings + +# make sure "trace" is turned off +logger.trace(False) + +objects = {} +# local import of dill._objects +#from . import _objects +#objects.update(_objects.succeeds) +#del _objects + +# local import of dill.objtypes +from . import objtypes as types + +def load_types(pickleable=True, unpickleable=True): + """load pickleable and/or unpickleable types to ``dill.types`` + + ``dill.types`` is meant to mimic the ``types`` module, providing a + registry of object types. By default, the module is empty (for import + speed purposes). Use the ``load_types`` function to load selected object + types to the ``dill.types`` module. + + Args: + pickleable (bool, default=True): if True, load pickleable types. + unpickleable (bool, default=True): if True, load unpickleable types. + + Returns: + None + """ + from importlib import reload + # local import of dill.objects + from . import _objects + if pickleable: + objects.update(_objects.succeeds) + else: + [objects.pop(obj,None) for obj in _objects.succeeds] + if unpickleable: + objects.update(_objects.failures) + else: + [objects.pop(obj,None) for obj in _objects.failures] + objects.update(_objects.registered) + del _objects + # reset contents of types to 'empty' + [types.__dict__.pop(obj) for obj in list(types.__dict__.keys()) \ + if obj.find('Type') != -1] + # add corresponding types from objects to types + reload(types) + +def extend(use_dill=True): + '''add (or remove) dill types to/from the pickle registry + + by default, ``dill`` populates its types to ``pickle.Pickler.dispatch``. + Thus, all ``dill`` types are available upon calling ``'import pickle'``. + To drop all ``dill`` types from the ``pickle`` dispatch, *use_dill=False*. + + Args: + use_dill (bool, default=True): if True, extend the dispatch table. + + Returns: + None + ''' + from ._dill import _revert_extension, _extend + if use_dill: _extend() + else: _revert_extension() + return + +extend() + + +def license(): + """print license""" + print (__license__) + return + +def citation(): + """print citation""" + print (__doc__[-491:-118]) + return + +# end of file diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/_dill.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/_dill.py new file mode 100644 index 0000000000000000000000000000000000000000..d42432ff3703f3f49fd760340b77bf84ce3e3a95 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/_dill.py @@ -0,0 +1,2198 @@ +# -*- coding: utf-8 -*- +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2015 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +dill: a utility for serialization of python objects + +The primary functions in `dill` are :func:`dump` and +:func:`dumps` for serialization ("pickling") to a +file or to a string, respectively, and :func:`load` +and :func:`loads` for deserialization ("unpickling"), +similarly, from a file or from a string. Other notable +functions are :func:`~dill.dump_module` and +:func:`~dill.load_module`, which are used to save and +restore module objects, including an intepreter session. + +Based on code written by Oren Tirosh and Armin Ronacher. +Extended to a (near) full set of the builtin types (in types module), +and coded to the pickle interface, by . +Initial port to python3 by Jonathan Dobson, continued by mmckerns. +Tested against "all" python types (Std. Lib. CH 1-15 @ 2.7) by mmckerns. +Tested against CH16+ Std. Lib. ... TBD. +""" + +from __future__ import annotations + +__all__ = [ + 'dump','dumps','load','loads','copy', + 'Pickler','Unpickler','register','pickle','pickles','check', + 'DEFAULT_PROTOCOL','HIGHEST_PROTOCOL','HANDLE_FMODE','CONTENTS_FMODE','FILE_FMODE', + 'PickleError','PickleWarning','PicklingError','PicklingWarning','UnpicklingError', + 'UnpicklingWarning', +] + +__module__ = 'dill' + +import warnings +from .logger import adapter as logger +from .logger import trace as _trace +log = logger # backward compatibility (see issue #582) + +import os +import sys +diff = None +_use_diff = False +OLD38 = (sys.hexversion < 0x3080000) +OLD39 = (sys.hexversion < 0x3090000) +OLD310 = (sys.hexversion < 0x30a0000) +OLD312a7 = (sys.hexversion < 0x30c00a7) +#XXX: get types from .objtypes ? +import builtins as __builtin__ +from pickle import _Pickler as StockPickler, Unpickler as StockUnpickler +from pickle import GLOBAL, POP +from _thread import LockType +from _thread import RLock as RLockType +#from io import IOBase +from types import CodeType, FunctionType, MethodType, GeneratorType, \ + TracebackType, FrameType, ModuleType, BuiltinMethodType +BufferType = memoryview #XXX: unregistered +ClassType = type # no 'old-style' classes +EllipsisType = type(Ellipsis) +#FileType = IOBase +NotImplementedType = type(NotImplemented) +SliceType = slice +TypeType = type # 'new-style' classes #XXX: unregistered +XRangeType = range +from types import MappingProxyType as DictProxyType, new_class +from pickle import DEFAULT_PROTOCOL, HIGHEST_PROTOCOL, PickleError, PicklingError, UnpicklingError +import __main__ as _main_module +import marshal +import gc +# import zlib +import abc +import dataclasses +from weakref import ReferenceType, ProxyType, CallableProxyType +from collections import OrderedDict +from enum import Enum, EnumMeta +from functools import partial +from operator import itemgetter, attrgetter +GENERATOR_FAIL = False +import importlib.machinery +EXTENSION_SUFFIXES = tuple(importlib.machinery.EXTENSION_SUFFIXES) +try: + import ctypes + HAS_CTYPES = True + # if using `pypy`, pythonapi is not found + IS_PYPY = not hasattr(ctypes, 'pythonapi') +except ImportError: + HAS_CTYPES = False + IS_PYPY = False +NumpyUfuncType = None +NumpyDType = None +NumpyArrayType = None +try: + if not importlib.machinery.PathFinder().find_spec('numpy'): + raise ImportError("No module named 'numpy'") + NumpyUfuncType = True + NumpyDType = True + NumpyArrayType = True +except ImportError: + pass +def __hook__(): + global NumpyArrayType, NumpyDType, NumpyUfuncType + from numpy import ufunc as NumpyUfuncType + from numpy import ndarray as NumpyArrayType + from numpy import dtype as NumpyDType + return True +if NumpyArrayType: # then has numpy + def ndarraysubclassinstance(obj_type): + if all((c.__module__, c.__name__) != ('numpy', 'ndarray') for c in obj_type.__mro__): + return False + # anything below here is a numpy array (or subclass) instance + __hook__() # import numpy (so the following works!!!) + # verify that __reduce__ has not been overridden + if obj_type.__reduce_ex__ is not NumpyArrayType.__reduce_ex__ \ + or obj_type.__reduce__ is not NumpyArrayType.__reduce__: + return False + return True + def numpyufunc(obj_type): + return any((c.__module__, c.__name__) == ('numpy', 'ufunc') for c in obj_type.__mro__) + def numpydtype(obj_type): + if all((c.__module__, c.__name__) != ('numpy', 'dtype') for c in obj_type.__mro__): + return False + # anything below here is a numpy dtype + __hook__() # import numpy (so the following works!!!) + return obj_type is type(NumpyDType) # handles subclasses +else: + def ndarraysubclassinstance(obj): return False + def numpyufunc(obj): return False + def numpydtype(obj): return False + +from types import GetSetDescriptorType, ClassMethodDescriptorType, \ + WrapperDescriptorType, MethodDescriptorType, MemberDescriptorType, \ + MethodWrapperType #XXX: unused + +# make sure to add these 'hand-built' types to _typemap +CellType = type((lambda x: lambda y: x)(0).__closure__[0]) +PartialType = type(partial(int, base=2)) +SuperType = type(super(Exception, TypeError())) +ItemGetterType = type(itemgetter(0)) +AttrGetterType = type(attrgetter('__repr__')) + +try: + from functools import _lru_cache_wrapper as LRUCacheType +except ImportError: + LRUCacheType = None + +if not isinstance(LRUCacheType, type): + LRUCacheType = None + +def get_file_type(*args, **kwargs): + open = kwargs.pop("open", __builtin__.open) + f = open(os.devnull, *args, **kwargs) + t = type(f) + f.close() + return t + +IS_PYODIDE = sys.platform == 'emscripten' + +FileType = get_file_type('rb', buffering=0) +TextWrapperType = get_file_type('r', buffering=-1) +BufferedRandomType = None if IS_PYODIDE else get_file_type('r+b', buffering=-1) +BufferedReaderType = get_file_type('rb', buffering=-1) +BufferedWriterType = get_file_type('wb', buffering=-1) +try: + from _pyio import open as _open + PyTextWrapperType = get_file_type('r', buffering=-1, open=_open) + PyBufferedRandomType = None if IS_PYODIDE else get_file_type('r+b', buffering=-1, open=_open) + PyBufferedReaderType = get_file_type('rb', buffering=-1, open=_open) + PyBufferedWriterType = get_file_type('wb', buffering=-1, open=_open) +except ImportError: + PyTextWrapperType = PyBufferedRandomType = PyBufferedReaderType = PyBufferedWriterType = None +from io import BytesIO as StringIO +InputType = OutputType = None +from socket import socket as SocketType +#FIXME: additionally calls ForkingPickler.register several times +from multiprocessing.reduction import _reduce_socket as reduce_socket +try: #pragma: no cover + IS_IPYTHON = __IPYTHON__ # is True + ExitType = None # IPython.core.autocall.ExitAutocall + IPYTHON_SINGLETONS = ('exit', 'quit', 'get_ipython') +except NameError: + IS_IPYTHON = False + try: ExitType = type(exit) # apparently 'exit' can be removed + except NameError: ExitType = None + IPYTHON_SINGLETONS = () + +import inspect +import typing + + +### Shims for different versions of Python and dill +class Sentinel(object): + """ + Create a unique sentinel object that is pickled as a constant. + """ + def __init__(self, name, module_name=None): + self.name = name + if module_name is None: + # Use the calling frame's module + self.__module__ = inspect.currentframe().f_back.f_globals['__name__'] + else: + self.__module__ = module_name # pragma: no cover + def __repr__(self): + return self.__module__ + '.' + self.name # pragma: no cover + def __copy__(self): + return self # pragma: no cover + def __deepcopy__(self, memo): + return self # pragma: no cover + def __reduce__(self): + return self.name + def __reduce_ex__(self, protocol): + return self.name + +from . import _shims +from ._shims import Reduce, Getattr + +### File modes +#: Pickles the file handle, preserving mode. The position of the unpickled +#: object is as for a new file handle. +HANDLE_FMODE = 0 +#: Pickles the file contents, creating a new file if on load the file does +#: not exist. The position = min(pickled position, EOF) and mode is chosen +#: as such that "best" preserves behavior of the original file. +CONTENTS_FMODE = 1 +#: Pickles the entire file (handle and contents), preserving mode and position. +FILE_FMODE = 2 + +### Shorthands (modified from python2.5/lib/pickle.py) +def copy(obj, *args, **kwds): + """ + Use pickling to 'copy' an object (i.e. `loads(dumps(obj))`). + + See :func:`dumps` and :func:`loads` for keyword arguments. + """ + ignore = kwds.pop('ignore', Unpickler.settings['ignore']) + return loads(dumps(obj, *args, **kwds), ignore=ignore) + +def dump(obj, file, protocol=None, byref=None, fmode=None, recurse=None, **kwds):#, strictio=None): + """ + Pickle an object to a file. + + See :func:`dumps` for keyword arguments. + """ + from .settings import settings + protocol = settings['protocol'] if protocol is None else int(protocol) + _kwds = kwds.copy() + _kwds.update(dict(byref=byref, fmode=fmode, recurse=recurse)) + Pickler(file, protocol, **_kwds).dump(obj) + return + +def dumps(obj, protocol=None, byref=None, fmode=None, recurse=None, **kwds):#, strictio=None): + """ + Pickle an object to a string. + + *protocol* is the pickler protocol, as defined for Python *pickle*. + + If *byref=True*, then dill behaves a lot more like pickle as certain + objects (like modules) are pickled by reference as opposed to attempting + to pickle the object itself. + + If *recurse=True*, then objects referred to in the global dictionary + are recursively traced and pickled, instead of the default behavior + of attempting to store the entire global dictionary. This is needed for + functions defined via *exec()*. + + *fmode* (:const:`HANDLE_FMODE`, :const:`CONTENTS_FMODE`, + or :const:`FILE_FMODE`) indicates how file handles will be pickled. + For example, when pickling a data file handle for transfer to a remote + compute service, *FILE_FMODE* will include the file contents in the + pickle and cursor position so that a remote method can operate + transparently on an object with an open file handle. + + Default values for keyword arguments can be set in :mod:`dill.settings`. + """ + file = StringIO() + dump(obj, file, protocol, byref, fmode, recurse, **kwds)#, strictio) + return file.getvalue() + +def load(file, ignore=None, **kwds): + """ + Unpickle an object from a file. + + See :func:`loads` for keyword arguments. + """ + return Unpickler(file, ignore=ignore, **kwds).load() + +def loads(str, ignore=None, **kwds): + """ + Unpickle an object from a string. + + If *ignore=False* then objects whose class is defined in the module + *__main__* are updated to reference the existing class in *__main__*, + otherwise they are left to refer to the reconstructed type, which may + be different. + + Default values for keyword arguments can be set in :mod:`dill.settings`. + """ + file = StringIO(str) + return load(file, ignore, **kwds) + +# def dumpzs(obj, protocol=None): +# """pickle an object to a compressed string""" +# return zlib.compress(dumps(obj, protocol)) + +# def loadzs(str): +# """unpickle an object from a compressed string""" +# return loads(zlib.decompress(str)) + +### End: Shorthands ### + +class MetaCatchingDict(dict): + def get(self, key, default=None): + try: + return self[key] + except KeyError: + return default + + def __missing__(self, key): + if issubclass(key, type): + return save_type + else: + raise KeyError() + +class PickleWarning(Warning, PickleError): + pass + +class PicklingWarning(PickleWarning, PicklingError): + pass + +class UnpicklingWarning(PickleWarning, UnpicklingError): + pass + +### Extend the Picklers +class Pickler(StockPickler): + """python's Pickler extended to interpreter sessions""" + dispatch: typing.Dict[type, typing.Callable[[Pickler, typing.Any], None]] \ + = MetaCatchingDict(StockPickler.dispatch.copy()) + """The dispatch table, a dictionary of serializing functions used + by Pickler to save objects of specific types. Use :func:`pickle` + or :func:`register` to associate types to custom functions. + + :meta hide-value: + """ + _session = False + from .settings import settings + + def __init__(self, file, *args, **kwds): + settings = Pickler.settings + _byref = kwds.pop('byref', None) + #_strictio = kwds.pop('strictio', None) + _fmode = kwds.pop('fmode', None) + _recurse = kwds.pop('recurse', None) + StockPickler.__init__(self, file, *args, **kwds) + self._main = _main_module + self._diff_cache = {} + self._byref = settings['byref'] if _byref is None else _byref + self._strictio = False #_strictio + self._fmode = settings['fmode'] if _fmode is None else _fmode + self._recurse = settings['recurse'] if _recurse is None else _recurse + self._postproc = OrderedDict() + self._file = file + + def save(self, obj, save_persistent_id=True): + # numpy hack + obj_type = type(obj) + if NumpyArrayType and not (obj_type is type or obj_type in Pickler.dispatch): + # register if the object is a numpy ufunc + # thanks to Paul Kienzle for pointing out ufuncs didn't pickle + if numpyufunc(obj_type): + @register(obj_type) + def save_numpy_ufunc(pickler, obj): + logger.trace(pickler, "Nu: %s", obj) + name = getattr(obj, '__qualname__', getattr(obj, '__name__', None)) + StockPickler.save_global(pickler, obj, name=name) + logger.trace(pickler, "# Nu") + return + # NOTE: the above 'save' performs like: + # import copy_reg + # def udump(f): return f.__name__ + # def uload(name): return getattr(numpy, name) + # copy_reg.pickle(NumpyUfuncType, udump, uload) + # register if the object is a numpy dtype + if numpydtype(obj_type): + @register(obj_type) + def save_numpy_dtype(pickler, obj): + logger.trace(pickler, "Dt: %s", obj) + pickler.save_reduce(_create_dtypemeta, (obj.type,), obj=obj) + logger.trace(pickler, "# Dt") + return + # NOTE: the above 'save' performs like: + # import copy_reg + # def uload(name): return type(NumpyDType(name)) + # def udump(f): return uload, (f.type,) + # copy_reg.pickle(NumpyDTypeType, udump, uload) + # register if the object is a subclassed numpy array instance + if ndarraysubclassinstance(obj_type): + @register(obj_type) + def save_numpy_array(pickler, obj): + logger.trace(pickler, "Nu: (%s, %s)", obj.shape, obj.dtype) + npdict = getattr(obj, '__dict__', None) + f, args, state = obj.__reduce__() + pickler.save_reduce(_create_array, (f,args,state,npdict), obj=obj) + logger.trace(pickler, "# Nu") + return + # end numpy hack + + if GENERATOR_FAIL and obj_type is GeneratorType: + msg = "Can't pickle %s: attribute lookup builtins.generator failed" % GeneratorType + raise PicklingError(msg) + StockPickler.save(self, obj, save_persistent_id) + + save.__doc__ = StockPickler.save.__doc__ + + def dump(self, obj): #NOTE: if settings change, need to update attributes + logger.trace_setup(self) + StockPickler.dump(self, obj) + dump.__doc__ = StockPickler.dump.__doc__ + +class Unpickler(StockUnpickler): + """python's Unpickler extended to interpreter sessions and more types""" + from .settings import settings + _session = False + + def find_class(self, module, name): + if (module, name) == ('__builtin__', '__main__'): + return self._main.__dict__ #XXX: above set w/save_module_dict + elif (module, name) == ('__builtin__', 'NoneType'): + return type(None) #XXX: special case: NoneType missing + if module == 'dill.dill': module = 'dill._dill' + return StockUnpickler.find_class(self, module, name) + + def __init__(self, *args, **kwds): + settings = Pickler.settings + _ignore = kwds.pop('ignore', None) + StockUnpickler.__init__(self, *args, **kwds) + self._main = _main_module + self._ignore = settings['ignore'] if _ignore is None else _ignore + + def load(self): #NOTE: if settings change, need to update attributes + obj = StockUnpickler.load(self) + if type(obj).__module__ == getattr(_main_module, '__name__', '__main__'): + if not self._ignore: + # point obj class to main + try: obj.__class__ = getattr(self._main, type(obj).__name__) + except (AttributeError,TypeError): pass # defined in a file + #_main_module.__dict__.update(obj.__dict__) #XXX: should update globals ? + return obj + load.__doc__ = StockUnpickler.load.__doc__ + pass + +''' +def dispatch_table(): + """get the dispatch table of registered types""" + return Pickler.dispatch +''' + +pickle_dispatch_copy = StockPickler.dispatch.copy() + +def pickle(t, func): + """expose :attr:`~Pickler.dispatch` table for user-created extensions""" + Pickler.dispatch[t] = func + return + +def register(t): + """decorator to register types to Pickler's :attr:`~Pickler.dispatch` table""" + def proxy(func): + Pickler.dispatch[t] = func + return func + return proxy + +def _revert_extension(): + """drop dill-registered types from pickle's dispatch table""" + for type, func in list(StockPickler.dispatch.items()): + if func.__module__ == __name__: + del StockPickler.dispatch[type] + if type in pickle_dispatch_copy: + StockPickler.dispatch[type] = pickle_dispatch_copy[type] + +def use_diff(on=True): + """ + Reduces size of pickles by only including object which have changed. + + Decreases pickle size but increases CPU time needed. + Also helps avoid some unpickleable objects. + MUST be called at start of script, otherwise changes will not be recorded. + """ + global _use_diff, diff + _use_diff = on + if _use_diff and diff is None: + try: + from . import diff as d + except ImportError: + import diff as d + diff = d + +def _create_typemap(): + import types + d = dict(list(__builtin__.__dict__.items()) + \ + list(types.__dict__.items())).items() + for key, value in d: + if getattr(value, '__module__', None) == 'builtins' \ + and type(value) is type: + yield key, value + return +_reverse_typemap = dict(_create_typemap()) +_reverse_typemap.update({ + 'PartialType': PartialType, + 'SuperType': SuperType, + 'ItemGetterType': ItemGetterType, + 'AttrGetterType': AttrGetterType, +}) +if sys.hexversion < 0x30800a2: + _reverse_typemap.update({ + 'CellType': CellType, + }) + +# "Incidental" implementation specific types. Unpickling these types in another +# implementation of Python (PyPy -> CPython) is not guaranteed to work + +# This dictionary should contain all types that appear in Python implementations +# but are not defined in https://docs.python.org/3/library/types.html#standard-interpreter-types +x=OrderedDict() +_incedental_reverse_typemap = { + 'FileType': FileType, + 'BufferedRandomType': BufferedRandomType, + 'BufferedReaderType': BufferedReaderType, + 'BufferedWriterType': BufferedWriterType, + 'TextWrapperType': TextWrapperType, + 'PyBufferedRandomType': PyBufferedRandomType, + 'PyBufferedReaderType': PyBufferedReaderType, + 'PyBufferedWriterType': PyBufferedWriterType, + 'PyTextWrapperType': PyTextWrapperType, +} + +_incedental_reverse_typemap.update({ + "DictKeysType": type({}.keys()), + "DictValuesType": type({}.values()), + "DictItemsType": type({}.items()), + + "OdictKeysType": type(x.keys()), + "OdictValuesType": type(x.values()), + "OdictItemsType": type(x.items()), +}) + +if ExitType: + _incedental_reverse_typemap['ExitType'] = ExitType +if InputType: + _incedental_reverse_typemap['InputType'] = InputType + _incedental_reverse_typemap['OutputType'] = OutputType + +''' +try: + import symtable + _incedental_reverse_typemap["SymtableEntryType"] = type(symtable.symtable("", "string", "exec")._table) +except: #FIXME: fails to pickle + pass + +if sys.hexversion >= 0x30a00a0: + _incedental_reverse_typemap['LineIteratorType'] = type(compile('3', '', 'eval').co_lines()) +''' + +if sys.hexversion >= 0x30b00b0: + from types import GenericAlias + _incedental_reverse_typemap["GenericAliasIteratorType"] = type(iter(GenericAlias(list, (int,)))) + ''' + _incedental_reverse_typemap['PositionsIteratorType'] = type(compile('3', '', 'eval').co_positions()) + ''' + +try: + import winreg + _incedental_reverse_typemap["HKEYType"] = winreg.HKEYType +except ImportError: + pass + +_reverse_typemap.update(_incedental_reverse_typemap) +_incedental_types = set(_incedental_reverse_typemap.values()) + +del x + +_typemap = dict((v, k) for k, v in _reverse_typemap.items()) + +def _unmarshal(string): + return marshal.loads(string) + +def _load_type(name): + return _reverse_typemap[name] + +def _create_type(typeobj, *args): + return typeobj(*args) + +def _create_function(fcode, fglobals, fname=None, fdefaults=None, + fclosure=None, fdict=None, fkwdefaults=None): + # same as FunctionType, but enable passing __dict__ to new function, + # __dict__ is the storehouse for attributes added after function creation + func = FunctionType(fcode, fglobals or dict(), fname, fdefaults, fclosure) + if fdict is not None: + func.__dict__.update(fdict) #XXX: better copy? option to copy? + if fkwdefaults is not None: + func.__kwdefaults__ = fkwdefaults + # 'recurse' only stores referenced modules/objects in fglobals, + # thus we need to make sure that we have __builtins__ as well + if "__builtins__" not in func.__globals__: + func.__globals__["__builtins__"] = globals()["__builtins__"] + # assert id(fglobals) == id(func.__globals__) + return func + +class match: + """ + Make avaialable a limited structural pattern matching-like syntax for Python < 3.10 + + Patterns can be only tuples (without types) currently. + Inspired by the package pattern-matching-PEP634. + + Usage: + >>> with match(args) as m: + >>> if m.case(('x', 'y')): + >>> # use m.x and m.y + >>> elif m.case(('x', 'y', 'z')): + >>> # use m.x, m.y and m.z + + Equivalent native code for Python >= 3.10: + >>> match args: + >>> case (x, y): + >>> # use x and y + >>> case (x, y, z): + >>> # use x, y and z + """ + def __init__(self, value): + self.value = value + self._fields = None + def __enter__(self): + return self + def __exit__(self, *exc_info): + return False + def case(self, args): # *args, **kwargs): + """just handles tuple patterns""" + if len(self.value) != len(args): # + len(kwargs): + return False + #if not all(isinstance(arg, pat) for arg, pat in zip(self.value[len(args):], kwargs.values())): + # return False + self.args = args # (*args, *kwargs) + return True + @property + def fields(self): + # Only bind names to values if necessary. + if self._fields is None: + self._fields = dict(zip(self.args, self.value)) + return self._fields + def __getattr__(self, item): + return self.fields[item] + +ALL_CODE_PARAMS = [ + # Version New attribute CodeType parameters + ((3,11,'a'), 'co_endlinetable', 'argcount posonlyargcount kwonlyargcount nlocals stacksize flags code consts names varnames filename name qualname firstlineno linetable endlinetable columntable exceptiontable freevars cellvars'), + ((3,11), 'co_exceptiontable', 'argcount posonlyargcount kwonlyargcount nlocals stacksize flags code consts names varnames filename name qualname firstlineno linetable exceptiontable freevars cellvars'), + ((3,10), 'co_linetable', 'argcount posonlyargcount kwonlyargcount nlocals stacksize flags code consts names varnames filename name firstlineno linetable freevars cellvars'), + ((3,8), 'co_posonlyargcount', 'argcount posonlyargcount kwonlyargcount nlocals stacksize flags code consts names varnames filename name firstlineno lnotab freevars cellvars'), + ((3,7), 'co_kwonlyargcount', 'argcount kwonlyargcount nlocals stacksize flags code consts names varnames filename name firstlineno lnotab freevars cellvars'), + ] +for version, new_attr, params in ALL_CODE_PARAMS: + if hasattr(CodeType, new_attr): + CODE_VERSION = version + CODE_PARAMS = params.split() + break +ENCODE_PARAMS = set(CODE_PARAMS).intersection( + ['code', 'lnotab', 'linetable', 'endlinetable', 'columntable', 'exceptiontable']) + +def _create_code(*args): + if not isinstance(args[0], int): # co_lnotab stored from >= 3.10 + LNOTAB, *args = args + else: # from < 3.10 (or pre-LNOTAB storage) + LNOTAB = b'' + + with match(args) as m: + # Python 3.11/3.12a (18 members) + if m.case(( + 'argcount', 'posonlyargcount', 'kwonlyargcount', 'nlocals', 'stacksize', 'flags', # args[0:6] + 'code', 'consts', 'names', 'varnames', 'filename', 'name', 'qualname', 'firstlineno', # args[6:14] + 'linetable', 'exceptiontable', 'freevars', 'cellvars' # args[14:] + )): + if CODE_VERSION == (3,11): + return CodeType( + *args[:6], + args[6].encode() if hasattr(args[6], 'encode') else args[6], # code + *args[7:14], + args[14].encode() if hasattr(args[14], 'encode') else args[14], # linetable + args[15].encode() if hasattr(args[15], 'encode') else args[15], # exceptiontable + args[16], + args[17], + ) + fields = m.fields + # Python 3.10 or 3.8/3.9 (16 members) + elif m.case(( + 'argcount', 'posonlyargcount', 'kwonlyargcount', 'nlocals', 'stacksize', 'flags', # args[0:6] + 'code', 'consts', 'names', 'varnames', 'filename', 'name', 'firstlineno', # args[6:13] + 'LNOTAB_OR_LINETABLE', 'freevars', 'cellvars' # args[13:] + )): + if CODE_VERSION == (3,10) or CODE_VERSION == (3,8): + return CodeType( + *args[:6], + args[6].encode() if hasattr(args[6], 'encode') else args[6], # code + *args[7:13], + args[13].encode() if hasattr(args[13], 'encode') else args[13], # lnotab/linetable + args[14], + args[15], + ) + fields = m.fields + if CODE_VERSION >= (3,10): + fields['linetable'] = m.LNOTAB_OR_LINETABLE + else: + fields['lnotab'] = LNOTAB if LNOTAB else m.LNOTAB_OR_LINETABLE + # Python 3.7 (15 args) + elif m.case(( + 'argcount', 'kwonlyargcount', 'nlocals', 'stacksize', 'flags', # args[0:5] + 'code', 'consts', 'names', 'varnames', 'filename', 'name', 'firstlineno', # args[5:12] + 'lnotab', 'freevars', 'cellvars' # args[12:] + )): + if CODE_VERSION == (3,7): + return CodeType( + *args[:5], + args[5].encode() if hasattr(args[5], 'encode') else args[5], # code + *args[6:12], + args[12].encode() if hasattr(args[12], 'encode') else args[12], # lnotab + args[13], + args[14], + ) + fields = m.fields + # Python 3.11a (20 members) + elif m.case(( + 'argcount', 'posonlyargcount', 'kwonlyargcount', 'nlocals', 'stacksize', 'flags', # args[0:6] + 'code', 'consts', 'names', 'varnames', 'filename', 'name', 'qualname', 'firstlineno', # args[6:14] + 'linetable', 'endlinetable', 'columntable', 'exceptiontable', 'freevars', 'cellvars' # args[14:] + )): + if CODE_VERSION == (3,11,'a'): + return CodeType( + *args[:6], + args[6].encode() if hasattr(args[6], 'encode') else args[6], # code + *args[7:14], + *(a.encode() if hasattr(a, 'encode') else a for a in args[14:18]), # linetable-exceptiontable + args[18], + args[19], + ) + fields = m.fields + else: + raise UnpicklingError("pattern match for code object failed") + + # The args format doesn't match this version. + fields.setdefault('posonlyargcount', 0) # from python <= 3.7 + fields.setdefault('lnotab', LNOTAB) # from python >= 3.10 + fields.setdefault('linetable', b'') # from python <= 3.9 + fields.setdefault('qualname', fields['name']) # from python <= 3.10 + fields.setdefault('exceptiontable', b'') # from python <= 3.10 + fields.setdefault('endlinetable', None) # from python != 3.11a + fields.setdefault('columntable', None) # from python != 3.11a + + args = (fields[k].encode() if k in ENCODE_PARAMS and hasattr(fields[k], 'encode') else fields[k] + for k in CODE_PARAMS) + return CodeType(*args) + +def _create_ftype(ftypeobj, func, args, kwds): + if kwds is None: + kwds = {} + if args is None: + args = () + return ftypeobj(func, *args, **kwds) + +def _create_typing_tuple(argz, *args): #NOTE: workaround python/cpython#94245 + if not argz: + return typing.Tuple[()].copy_with(()) + if argz == ((),): + return typing.Tuple[()] + return typing.Tuple[argz] + +def _create_lock(locked, *args): #XXX: ignores 'blocking' + from threading import Lock + lock = Lock() + if locked: + if not lock.acquire(False): + raise UnpicklingError("Cannot acquire lock") + return lock + +def _create_rlock(count, owner, *args): #XXX: ignores 'blocking' + lock = RLockType() + if owner is not None: + lock._acquire_restore((count, owner)) + if owner and not lock._is_owned(): + raise UnpicklingError("Cannot acquire lock") + return lock + +# thanks to matsjoyce for adding all the different file modes +def _create_filehandle(name, mode, position, closed, open, strictio, fmode, fdata): # buffering=0 + # only pickles the handle, not the file contents... good? or StringIO(data)? + # (for file contents see: http://effbot.org/librarybook/copy-reg.htm) + # NOTE: handle special cases first (are there more special cases?) + names = {'':sys.__stdin__, '':sys.__stdout__, + '':sys.__stderr__} #XXX: better fileno=(0,1,2) ? + if name in list(names.keys()): + f = names[name] #XXX: safer "f=sys.stdin" + elif name == '': + f = os.tmpfile() + elif name == '': + import tempfile + f = tempfile.TemporaryFile(mode) + else: + try: + exists = os.path.exists(name) + except Exception: + exists = False + if not exists: + if strictio: + raise FileNotFoundError("[Errno 2] No such file or directory: '%s'" % name) + elif "r" in mode and fmode != FILE_FMODE: + name = '' # or os.devnull? + current_size = 0 # or maintain position? + else: + current_size = os.path.getsize(name) + + if position > current_size: + if strictio: + raise ValueError("invalid buffer size") + elif fmode == CONTENTS_FMODE: + position = current_size + # try to open the file by name + # NOTE: has different fileno + try: + #FIXME: missing: *buffering*, encoding, softspace + if fmode == FILE_FMODE: + f = open(name, mode if "w" in mode else "w") + f.write(fdata) + if "w" not in mode: + f.close() + f = open(name, mode) + elif name == '': # file did not exist + import tempfile + f = tempfile.TemporaryFile(mode) + # treat x mode as w mode + elif fmode == CONTENTS_FMODE \ + and ("w" in mode or "x" in mode): + # stop truncation when opening + flags = os.O_CREAT + if "+" in mode: + flags |= os.O_RDWR + else: + flags |= os.O_WRONLY + f = os.fdopen(os.open(name, flags), mode) + # set name to the correct value + r = getattr(f, "buffer", f) + r = getattr(r, "raw", r) + r.name = name + assert f.name == name + else: + f = open(name, mode) + except (IOError, FileNotFoundError): + err = sys.exc_info()[1] + raise UnpicklingError(err) + if closed: + f.close() + elif position >= 0 and fmode != HANDLE_FMODE: + f.seek(position) + return f + +def _create_stringi(value, position, closed): + f = StringIO(value) + if closed: f.close() + else: f.seek(position) + return f + +def _create_stringo(value, position, closed): + f = StringIO() + if closed: f.close() + else: + f.write(value) + f.seek(position) + return f + +class _itemgetter_helper(object): + def __init__(self): + self.items = [] + def __getitem__(self, item): + self.items.append(item) + return + +class _attrgetter_helper(object): + def __init__(self, attrs, index=None): + self.attrs = attrs + self.index = index + def __getattribute__(self, attr): + attrs = object.__getattribute__(self, "attrs") + index = object.__getattribute__(self, "index") + if index is None: + index = len(attrs) + attrs.append(attr) + else: + attrs[index] = ".".join([attrs[index], attr]) + return type(self)(attrs, index) + +class _dictproxy_helper(dict): + def __ror__(self, a): + return a + +_dictproxy_helper_instance = _dictproxy_helper() + +__d = {} +try: + # In CPython 3.9 and later, this trick can be used to exploit the + # implementation of the __or__ function of MappingProxyType to get the true + # mapping referenced by the proxy. It may work for other implementations, + # but is not guaranteed. + MAPPING_PROXY_TRICK = __d is (DictProxyType(__d) | _dictproxy_helper_instance) +except Exception: + MAPPING_PROXY_TRICK = False +del __d + +# _CELL_REF and _CELL_EMPTY are used to stay compatible with versions of dill +# whose _create_cell functions do not have a default value. +# _CELL_REF can be safely removed entirely (replaced by empty tuples for calls +# to _create_cell) once breaking changes are allowed. +_CELL_REF = None +_CELL_EMPTY = Sentinel('_CELL_EMPTY') + +def _create_cell(contents=None): + if contents is not _CELL_EMPTY: + value = contents + return (lambda: value).__closure__[0] + +def _create_weakref(obj, *args): + from weakref import ref + if obj is None: # it's dead + from collections import UserDict + return ref(UserDict(), *args) + return ref(obj, *args) + +def _create_weakproxy(obj, callable=False, *args): + from weakref import proxy + if obj is None: # it's dead + if callable: return proxy(lambda x:x, *args) + from collections import UserDict + return proxy(UserDict(), *args) + return proxy(obj, *args) + +def _eval_repr(repr_str): + return eval(repr_str) + +def _create_array(f, args, state, npdict=None): + #array = numpy.core.multiarray._reconstruct(*args) + array = f(*args) + array.__setstate__(state) + if npdict is not None: # we also have saved state in __dict__ + array.__dict__.update(npdict) + return array + +def _create_dtypemeta(scalar_type): + if NumpyDType is True: __hook__() # a bit hacky I think + if scalar_type is None: + return NumpyDType + return type(NumpyDType(scalar_type)) + +def _create_namedtuple(name, fieldnames, modulename, defaults=None): + class_ = _import_module(modulename + '.' + name, safe=True) + if class_ is not None: + return class_ + import collections + t = collections.namedtuple(name, fieldnames, defaults=defaults, module=modulename) + return t + +def _create_capsule(pointer, name, context, destructor): + attr_found = False + try: + # based on https://github.com/python/cpython/blob/f4095e53ab708d95e019c909d5928502775ba68f/Objects/capsule.c#L209-L231 + uname = name.decode('utf8') + for i in range(1, uname.count('.')+1): + names = uname.rsplit('.', i) + try: + module = __import__(names[0]) + except ImportError: + pass + obj = module + for attr in names[1:]: + obj = getattr(obj, attr) + capsule = obj + attr_found = True + break + except Exception: + pass + + if attr_found: + if _PyCapsule_IsValid(capsule, name): + return capsule + raise UnpicklingError("%s object exists at %s but a PyCapsule object was expected." % (type(capsule), name)) + else: + #warnings.warn('Creating a new PyCapsule %s for a C data structure that may not be present in memory. Segmentation faults or other memory errors are possible.' % (name,), UnpicklingWarning) + capsule = _PyCapsule_New(pointer, name, destructor) + _PyCapsule_SetContext(capsule, context) + return capsule + +def _getattr(objclass, name, repr_str): + # hack to grab the reference directly + try: #XXX: works only for __builtin__ ? + attr = repr_str.split("'")[3] + return eval(attr+'.__dict__["'+name+'"]') + except Exception: + try: + attr = objclass.__dict__ + if type(attr) is DictProxyType: + attr = attr[name] + else: + attr = getattr(objclass,name) + except (AttributeError, KeyError): + attr = getattr(objclass,name) + return attr + +def _get_attr(self, name): + # stop recursive pickling + return getattr(self, name, None) or getattr(__builtin__, name) + +def _import_module(import_name, safe=False): + try: + if import_name.startswith('__runtime__.'): + return sys.modules[import_name] + elif '.' in import_name: + items = import_name.split('.') + module = '.'.join(items[:-1]) + obj = items[-1] + submodule = getattr(__import__(module, None, None, [obj]), obj) + if isinstance(submodule, (ModuleType, type)): + return submodule + return __import__(import_name, None, None, [obj]) + else: + return __import__(import_name) + except (ImportError, AttributeError, KeyError): + if safe: + return None + raise + +# https://github.com/python/cpython/blob/a8912a0f8d9eba6d502c37d522221f9933e976db/Lib/pickle.py#L322-L333 +def _getattribute(obj, name): + for subpath in name.split('.'): + if subpath == '': + raise AttributeError("Can't get local attribute {!r} on {!r}" + .format(name, obj)) + try: + parent = obj + obj = getattr(obj, subpath) + except AttributeError: + raise AttributeError("Can't get attribute {!r} on {!r}" + .format(name, obj)) + return obj, parent + +def _locate_function(obj, pickler=None): + module_name = getattr(obj, '__module__', None) + if module_name in ['__main__', None] or \ + pickler and is_dill(pickler, child=False) and pickler._session and module_name == pickler._main.__name__: + return False + if hasattr(obj, '__qualname__'): + module = _import_module(module_name, safe=True) + try: + found, _ = _getattribute(module, obj.__qualname__) + return found is obj + except AttributeError: + return False + else: + found = _import_module(module_name + '.' + obj.__name__, safe=True) + return found is obj + + +def _setitems(dest, source): + for k, v in source.items(): + dest[k] = v + + +def _save_with_postproc(pickler, reduction, is_pickler_dill=None, obj=Getattr.NO_DEFAULT, postproc_list=None): + if obj is Getattr.NO_DEFAULT: + obj = Reduce(reduction) # pragma: no cover + + if is_pickler_dill is None: + is_pickler_dill = is_dill(pickler, child=True) + if is_pickler_dill: + # assert id(obj) not in pickler._postproc, str(obj) + ' already pushed on stack!' + # if not hasattr(pickler, 'x'): pickler.x = 0 + # print(pickler.x*' ', 'push', obj, id(obj), pickler._recurse) + # pickler.x += 1 + if postproc_list is None: + postproc_list = [] + + # Recursive object not supported. Default to a global instead. + if id(obj) in pickler._postproc: + name = '%s.%s ' % (obj.__module__, getattr(obj, '__qualname__', obj.__name__)) if hasattr(obj, '__module__') else '' + warnings.warn('Cannot pickle %r: %shas recursive self-references that trigger a RecursionError.' % (obj, name), PicklingWarning) + pickler.save_global(obj) + return + pickler._postproc[id(obj)] = postproc_list + + # TODO: Use state_setter in Python 3.8 to allow for faster cPickle implementations + pickler.save_reduce(*reduction, obj=obj) + + if is_pickler_dill: + # pickler.x -= 1 + # print(pickler.x*' ', 'pop', obj, id(obj)) + postproc = pickler._postproc.pop(id(obj)) + # assert postproc_list == postproc, 'Stack tampered!' + for reduction in reversed(postproc): + if reduction[0] is _setitems: + # use the internal machinery of pickle.py to speedup when + # updating a dictionary in postproc + dest, source = reduction[1] + if source: + pickler.write(pickler.get(pickler.memo[id(dest)][0])) + pickler._batch_setitems(iter(source.items())) + else: + # Updating with an empty dictionary. Same as doing nothing. + continue + else: + pickler.save_reduce(*reduction) + # pop None created by calling preprocessing step off stack + pickler.write(POP) + +#@register(CodeType) +#def save_code(pickler, obj): +# logger.trace(pickler, "Co: %s", obj) +# pickler.save_reduce(_unmarshal, (marshal.dumps(obj),), obj=obj) +# logger.trace(pickler, "# Co") +# return + +# The following function is based on 'save_codeobject' from 'cloudpickle' +# Copyright (c) 2012, Regents of the University of California. +# Copyright (c) 2009 `PiCloud, Inc. `_. +# License: https://github.com/cloudpipe/cloudpickle/blob/master/LICENSE +@register(CodeType) +def save_code(pickler, obj): + logger.trace(pickler, "Co: %s", obj) + if hasattr(obj, "co_endlinetable"): # python 3.11a (20 args) + args = ( + obj.co_lnotab, # for < python 3.10 [not counted in args] + obj.co_argcount, obj.co_posonlyargcount, + obj.co_kwonlyargcount, obj.co_nlocals, obj.co_stacksize, + obj.co_flags, obj.co_code, obj.co_consts, obj.co_names, + obj.co_varnames, obj.co_filename, obj.co_name, obj.co_qualname, + obj.co_firstlineno, obj.co_linetable, obj.co_endlinetable, + obj.co_columntable, obj.co_exceptiontable, obj.co_freevars, + obj.co_cellvars + ) + elif hasattr(obj, "co_exceptiontable"): # python 3.11 (18 args) + with warnings.catch_warnings(): + if not OLD312a7: # issue 597 + warnings.filterwarnings('ignore', category=DeprecationWarning) + args = ( + obj.co_lnotab, # for < python 3.10 [not counted in args] + obj.co_argcount, obj.co_posonlyargcount, + obj.co_kwonlyargcount, obj.co_nlocals, obj.co_stacksize, + obj.co_flags, obj.co_code, obj.co_consts, obj.co_names, + obj.co_varnames, obj.co_filename, obj.co_name, obj.co_qualname, + obj.co_firstlineno, obj.co_linetable, obj.co_exceptiontable, + obj.co_freevars, obj.co_cellvars + ) + elif hasattr(obj, "co_linetable"): # python 3.10 (16 args) + args = ( + obj.co_lnotab, # for < python 3.10 [not counted in args] + obj.co_argcount, obj.co_posonlyargcount, + obj.co_kwonlyargcount, obj.co_nlocals, obj.co_stacksize, + obj.co_flags, obj.co_code, obj.co_consts, obj.co_names, + obj.co_varnames, obj.co_filename, obj.co_name, + obj.co_firstlineno, obj.co_linetable, obj.co_freevars, + obj.co_cellvars + ) + elif hasattr(obj, "co_posonlyargcount"): # python 3.8 (16 args) + args = ( + obj.co_argcount, obj.co_posonlyargcount, + obj.co_kwonlyargcount, obj.co_nlocals, obj.co_stacksize, + obj.co_flags, obj.co_code, obj.co_consts, obj.co_names, + obj.co_varnames, obj.co_filename, obj.co_name, + obj.co_firstlineno, obj.co_lnotab, obj.co_freevars, + obj.co_cellvars + ) + else: # python 3.7 (15 args) + args = ( + obj.co_argcount, obj.co_kwonlyargcount, obj.co_nlocals, + obj.co_stacksize, obj.co_flags, obj.co_code, obj.co_consts, + obj.co_names, obj.co_varnames, obj.co_filename, + obj.co_name, obj.co_firstlineno, obj.co_lnotab, + obj.co_freevars, obj.co_cellvars + ) + + pickler.save_reduce(_create_code, args, obj=obj) + logger.trace(pickler, "# Co") + return + +def _repr_dict(obj): + """Make a short string representation of a dictionary.""" + return "<%s object at %#012x>" % (type(obj).__name__, id(obj)) + +@register(dict) +def save_module_dict(pickler, obj): + if is_dill(pickler, child=False) and obj == pickler._main.__dict__ and \ + not (pickler._session and pickler._first_pass): + logger.trace(pickler, "D1: %s", _repr_dict(obj)) # obj + pickler.write(bytes('c__builtin__\n__main__\n', 'UTF-8')) + logger.trace(pickler, "# D1") + elif (not is_dill(pickler, child=False)) and (obj == _main_module.__dict__): + logger.trace(pickler, "D3: %s", _repr_dict(obj)) # obj + pickler.write(bytes('c__main__\n__dict__\n', 'UTF-8')) #XXX: works in general? + logger.trace(pickler, "# D3") + elif '__name__' in obj and obj != _main_module.__dict__ \ + and type(obj['__name__']) is str \ + and obj is getattr(_import_module(obj['__name__'],True), '__dict__', None): + logger.trace(pickler, "D4: %s", _repr_dict(obj)) # obj + pickler.write(bytes('c%s\n__dict__\n' % obj['__name__'], 'UTF-8')) + logger.trace(pickler, "# D4") + else: + logger.trace(pickler, "D2: %s", _repr_dict(obj)) # obj + if is_dill(pickler, child=False) and pickler._session: + # we only care about session the first pass thru + pickler._first_pass = False + StockPickler.save_dict(pickler, obj) + logger.trace(pickler, "# D2") + return + + +if not OLD310 and MAPPING_PROXY_TRICK: + def save_dict_view(dicttype): + def save_dict_view_for_function(func): + def _save_dict_view(pickler, obj): + logger.trace(pickler, "Dkvi: <%s>", obj) + mapping = obj.mapping | _dictproxy_helper_instance + pickler.save_reduce(func, (mapping,), obj=obj) + logger.trace(pickler, "# Dkvi") + return _save_dict_view + return [ + (funcname, save_dict_view_for_function(getattr(dicttype, funcname))) + for funcname in ('keys', 'values', 'items') + ] +else: + # The following functions are based on 'cloudpickle' + # https://github.com/cloudpipe/cloudpickle/blob/5d89947288a18029672596a4d719093cc6d5a412/cloudpickle/cloudpickle.py#L922-L940 + # Copyright (c) 2012, Regents of the University of California. + # Copyright (c) 2009 `PiCloud, Inc. `_. + # License: https://github.com/cloudpipe/cloudpickle/blob/master/LICENSE + def save_dict_view(dicttype): + def save_dict_keys(pickler, obj): + logger.trace(pickler, "Dk: <%s>", obj) + dict_constructor = _shims.Reduce(dicttype.fromkeys, (list(obj),)) + pickler.save_reduce(dicttype.keys, (dict_constructor,), obj=obj) + logger.trace(pickler, "# Dk") + + def save_dict_values(pickler, obj): + logger.trace(pickler, "Dv: <%s>", obj) + dict_constructor = _shims.Reduce(dicttype, (enumerate(obj),)) + pickler.save_reduce(dicttype.values, (dict_constructor,), obj=obj) + logger.trace(pickler, "# Dv") + + def save_dict_items(pickler, obj): + logger.trace(pickler, "Di: <%s>", obj) + pickler.save_reduce(dicttype.items, (dicttype(obj),), obj=obj) + logger.trace(pickler, "# Di") + + return ( + ('keys', save_dict_keys), + ('values', save_dict_values), + ('items', save_dict_items) + ) + +for __dicttype in ( + dict, + OrderedDict +): + __obj = __dicttype() + for __funcname, __savefunc in save_dict_view(__dicttype): + __tview = type(getattr(__obj, __funcname)()) + if __tview not in Pickler.dispatch: + Pickler.dispatch[__tview] = __savefunc +del __dicttype, __obj, __funcname, __tview, __savefunc + + +@register(ClassType) +def save_classobj(pickler, obj): #FIXME: enable pickler._byref + if not _locate_function(obj, pickler): + logger.trace(pickler, "C1: %s", obj) + pickler.save_reduce(ClassType, (obj.__name__, obj.__bases__, + obj.__dict__), obj=obj) + #XXX: or obj.__dict__.copy()), obj=obj) ? + logger.trace(pickler, "# C1") + else: + logger.trace(pickler, "C2: %s", obj) + name = getattr(obj, '__qualname__', getattr(obj, '__name__', None)) + StockPickler.save_global(pickler, obj, name=name) + logger.trace(pickler, "# C2") + return + +@register(typing._GenericAlias) +def save_generic_alias(pickler, obj): + args = obj.__args__ + if type(obj.__reduce__()) is str: + logger.trace(pickler, "Ga0: %s", obj) + StockPickler.save_global(pickler, obj, name=obj.__reduce__()) + logger.trace(pickler, "# Ga0") + elif obj.__origin__ is tuple and (not args or args == ((),)): + logger.trace(pickler, "Ga1: %s", obj) + pickler.save_reduce(_create_typing_tuple, (args,), obj=obj) + logger.trace(pickler, "# Ga1") + else: + logger.trace(pickler, "Ga2: %s", obj) + StockPickler.save_reduce(pickler, *obj.__reduce__(), obj=obj) + logger.trace(pickler, "# Ga2") + return + +@register(LockType) +def save_lock(pickler, obj): + logger.trace(pickler, "Lo: %s", obj) + pickler.save_reduce(_create_lock, (obj.locked(),), obj=obj) + logger.trace(pickler, "# Lo") + return + +@register(RLockType) +def save_rlock(pickler, obj): + logger.trace(pickler, "RL: %s", obj) + r = obj.__repr__() # don't use _release_save as it unlocks the lock + count = int(r.split('count=')[1].split()[0].rstrip('>')) + owner = int(r.split('owner=')[1].split()[0]) + pickler.save_reduce(_create_rlock, (count,owner,), obj=obj) + logger.trace(pickler, "# RL") + return + +#@register(SocketType) #FIXME: causes multiprocess test_pickling FAIL +def save_socket(pickler, obj): + logger.trace(pickler, "So: %s", obj) + pickler.save_reduce(*reduce_socket(obj)) + logger.trace(pickler, "# So") + return + +def _save_file(pickler, obj, open_): + if obj.closed: + position = 0 + else: + obj.flush() + if obj in (sys.__stdout__, sys.__stderr__, sys.__stdin__): + position = -1 + else: + position = obj.tell() + if is_dill(pickler, child=True) and pickler._fmode == FILE_FMODE: + f = open_(obj.name, "r") + fdata = f.read() + f.close() + else: + fdata = "" + if is_dill(pickler, child=True): + strictio = pickler._strictio + fmode = pickler._fmode + else: + strictio = False + fmode = 0 # HANDLE_FMODE + pickler.save_reduce(_create_filehandle, (obj.name, obj.mode, position, + obj.closed, open_, strictio, + fmode, fdata), obj=obj) + return + + +@register(FileType) #XXX: in 3.x has buffer=0, needs different _create? +@register(BufferedReaderType) +@register(BufferedWriterType) +@register(TextWrapperType) +def save_file(pickler, obj): + logger.trace(pickler, "Fi: %s", obj) + f = _save_file(pickler, obj, open) + logger.trace(pickler, "# Fi") + return f + +if BufferedRandomType: + @register(BufferedRandomType) + def save_file(pickler, obj): + logger.trace(pickler, "Fi: %s", obj) + f = _save_file(pickler, obj, open) + logger.trace(pickler, "# Fi") + return f + +if PyTextWrapperType: + @register(PyBufferedReaderType) + @register(PyBufferedWriterType) + @register(PyTextWrapperType) + def save_file(pickler, obj): + logger.trace(pickler, "Fi: %s", obj) + f = _save_file(pickler, obj, _open) + logger.trace(pickler, "# Fi") + return f + + if PyBufferedRandomType: + @register(PyBufferedRandomType) + def save_file(pickler, obj): + logger.trace(pickler, "Fi: %s", obj) + f = _save_file(pickler, obj, _open) + logger.trace(pickler, "# Fi") + return f + + +# The following two functions are based on 'saveCStringIoInput' +# and 'saveCStringIoOutput' from spickle +# Copyright (c) 2011 by science+computing ag +# License: http://www.apache.org/licenses/LICENSE-2.0 +if InputType: + @register(InputType) + def save_stringi(pickler, obj): + logger.trace(pickler, "Io: %s", obj) + if obj.closed: + value = ''; position = 0 + else: + value = obj.getvalue(); position = obj.tell() + pickler.save_reduce(_create_stringi, (value, position, \ + obj.closed), obj=obj) + logger.trace(pickler, "# Io") + return + + @register(OutputType) + def save_stringo(pickler, obj): + logger.trace(pickler, "Io: %s", obj) + if obj.closed: + value = ''; position = 0 + else: + value = obj.getvalue(); position = obj.tell() + pickler.save_reduce(_create_stringo, (value, position, \ + obj.closed), obj=obj) + logger.trace(pickler, "# Io") + return + +if LRUCacheType is not None: + from functools import lru_cache + @register(LRUCacheType) + def save_lru_cache(pickler, obj): + logger.trace(pickler, "LRU: %s", obj) + if OLD39: + kwargs = obj.cache_info() + args = (kwargs.maxsize,) + else: + kwargs = obj.cache_parameters() + args = (kwargs['maxsize'], kwargs['typed']) + if args != lru_cache.__defaults__: + wrapper = Reduce(lru_cache, args, is_callable=True) + else: + wrapper = lru_cache + pickler.save_reduce(wrapper, (obj.__wrapped__,), obj=obj) + logger.trace(pickler, "# LRU") + return + +@register(SuperType) +def save_super(pickler, obj): + logger.trace(pickler, "Su: %s", obj) + pickler.save_reduce(super, (obj.__thisclass__, obj.__self__), obj=obj) + logger.trace(pickler, "# Su") + return + +if IS_PYPY: + @register(MethodType) + def save_instancemethod0(pickler, obj): + code = getattr(obj.__func__, '__code__', None) + if code is not None and type(code) is not CodeType \ + and getattr(obj.__self__, obj.__name__) == obj: + # Some PyPy builtin functions have no module name + logger.trace(pickler, "Me2: %s", obj) + # TODO: verify that this works for all PyPy builtin methods + pickler.save_reduce(getattr, (obj.__self__, obj.__name__), obj=obj) + logger.trace(pickler, "# Me2") + return + + logger.trace(pickler, "Me1: %s", obj) + pickler.save_reduce(MethodType, (obj.__func__, obj.__self__), obj=obj) + logger.trace(pickler, "# Me1") + return +else: + @register(MethodType) + def save_instancemethod0(pickler, obj): + logger.trace(pickler, "Me1: %s", obj) + pickler.save_reduce(MethodType, (obj.__func__, obj.__self__), obj=obj) + logger.trace(pickler, "# Me1") + return + +if not IS_PYPY: + @register(MemberDescriptorType) + @register(GetSetDescriptorType) + @register(MethodDescriptorType) + @register(WrapperDescriptorType) + @register(ClassMethodDescriptorType) + def save_wrapper_descriptor(pickler, obj): + logger.trace(pickler, "Wr: %s", obj) + pickler.save_reduce(_getattr, (obj.__objclass__, obj.__name__, + obj.__repr__()), obj=obj) + logger.trace(pickler, "# Wr") + return +else: + @register(MemberDescriptorType) + @register(GetSetDescriptorType) + def save_wrapper_descriptor(pickler, obj): + logger.trace(pickler, "Wr: %s", obj) + pickler.save_reduce(_getattr, (obj.__objclass__, obj.__name__, + obj.__repr__()), obj=obj) + logger.trace(pickler, "# Wr") + return + +@register(CellType) +def save_cell(pickler, obj): + try: + f = obj.cell_contents + except ValueError: # cell is empty + logger.trace(pickler, "Ce3: %s", obj) + # _shims._CELL_EMPTY is defined in _shims.py to support PyPy 2.7. + # It unpickles to a sentinel object _dill._CELL_EMPTY, also created in + # _shims.py. This object is not present in Python 3 because the cell's + # contents can be deleted in newer versions of Python. The reduce object + # will instead unpickle to None if unpickled in Python 3. + + # When breaking changes are made to dill, (_shims._CELL_EMPTY,) can + # be replaced by () OR the delattr function can be removed repending on + # whichever is more convienient. + pickler.save_reduce(_create_cell, (_shims._CELL_EMPTY,), obj=obj) + # Call the function _delattr on the cell's cell_contents attribute + # The result of this function call will be None + pickler.save_reduce(_shims._delattr, (obj, 'cell_contents')) + # pop None created by calling _delattr off stack + pickler.write(POP) + logger.trace(pickler, "# Ce3") + return + if is_dill(pickler, child=True): + if id(f) in pickler._postproc: + # Already seen. Add to its postprocessing. + postproc = pickler._postproc[id(f)] + else: + # Haven't seen it. Add to the highest possible object and set its + # value as late as possible to prevent cycle. + postproc = next(iter(pickler._postproc.values()), None) + if postproc is not None: + logger.trace(pickler, "Ce2: %s", obj) + # _CELL_REF is defined in _shims.py to support older versions of + # dill. When breaking changes are made to dill, (_CELL_REF,) can + # be replaced by () + pickler.save_reduce(_create_cell, (_CELL_REF,), obj=obj) + postproc.append((_shims._setattr, (obj, 'cell_contents', f))) + logger.trace(pickler, "# Ce2") + return + logger.trace(pickler, "Ce1: %s", obj) + pickler.save_reduce(_create_cell, (f,), obj=obj) + logger.trace(pickler, "# Ce1") + return + +if MAPPING_PROXY_TRICK: + @register(DictProxyType) + def save_dictproxy(pickler, obj): + logger.trace(pickler, "Mp: %s", _repr_dict(obj)) # obj + mapping = obj | _dictproxy_helper_instance + pickler.save_reduce(DictProxyType, (mapping,), obj=obj) + logger.trace(pickler, "# Mp") + return +else: + @register(DictProxyType) + def save_dictproxy(pickler, obj): + logger.trace(pickler, "Mp: %s", _repr_dict(obj)) # obj + pickler.save_reduce(DictProxyType, (obj.copy(),), obj=obj) + logger.trace(pickler, "# Mp") + return + +@register(SliceType) +def save_slice(pickler, obj): + logger.trace(pickler, "Sl: %s", obj) + pickler.save_reduce(slice, (obj.start, obj.stop, obj.step), obj=obj) + logger.trace(pickler, "# Sl") + return + +@register(XRangeType) +@register(EllipsisType) +@register(NotImplementedType) +def save_singleton(pickler, obj): + logger.trace(pickler, "Si: %s", obj) + pickler.save_reduce(_eval_repr, (obj.__repr__(),), obj=obj) + logger.trace(pickler, "# Si") + return + +def _proxy_helper(obj): # a dead proxy returns a reference to None + """get memory address of proxy's reference object""" + _repr = repr(obj) + try: _str = str(obj) + except ReferenceError: # it's a dead proxy + return id(None) + if _str == _repr: return id(obj) # it's a repr + try: # either way, it's a proxy from here + address = int(_str.rstrip('>').split(' at ')[-1], base=16) + except ValueError: # special case: proxy of a 'type' + if not IS_PYPY: + address = int(_repr.rstrip('>').split(' at ')[-1], base=16) + else: + objects = iter(gc.get_objects()) + for _obj in objects: + if repr(_obj) == _str: return id(_obj) + # all bad below... nothing found so throw ReferenceError + msg = "Cannot reference object for proxy at '%s'" % id(obj) + raise ReferenceError(msg) + return address + +def _locate_object(address, module=None): + """get object located at the given memory address (inverse of id(obj))""" + special = [None, True, False] #XXX: more...? + for obj in special: + if address == id(obj): return obj + if module: + objects = iter(module.__dict__.values()) + else: objects = iter(gc.get_objects()) + for obj in objects: + if address == id(obj): return obj + # all bad below... nothing found so throw ReferenceError or TypeError + try: address = hex(address) + except TypeError: + raise TypeError("'%s' is not a valid memory address" % str(address)) + raise ReferenceError("Cannot reference object at '%s'" % address) + +@register(ReferenceType) +def save_weakref(pickler, obj): + refobj = obj() + logger.trace(pickler, "R1: %s", obj) + #refobj = ctypes.pythonapi.PyWeakref_GetObject(obj) # dead returns "None" + pickler.save_reduce(_create_weakref, (refobj,), obj=obj) + logger.trace(pickler, "# R1") + return + +@register(ProxyType) +@register(CallableProxyType) +def save_weakproxy(pickler, obj): + # Must do string substitution here and use %r to avoid ReferenceError. + logger.trace(pickler, "R2: %r" % obj) + refobj = _locate_object(_proxy_helper(obj)) + pickler.save_reduce(_create_weakproxy, (refobj, callable(obj)), obj=obj) + logger.trace(pickler, "# R2") + return + +def _is_builtin_module(module): + if not hasattr(module, "__file__"): return True + if module.__file__ is None: return False + # If a module file name starts with prefix, it should be a builtin + # module, so should always be pickled as a reference. + names = ["base_prefix", "base_exec_prefix", "exec_prefix", "prefix", "real_prefix"] + rp = os.path.realpath + # See https://github.com/uqfoundation/dill/issues/566 + return ( + any( + module.__file__.startswith(getattr(sys, name)) + or rp(module.__file__).startswith(rp(getattr(sys, name))) + for name in names + if hasattr(sys, name) + ) + or module.__file__.endswith(EXTENSION_SUFFIXES) + or 'site-packages' in module.__file__ + ) + +def _is_imported_module(module): + return getattr(module, '__loader__', None) is not None or module in sys.modules.values() + +@register(ModuleType) +def save_module(pickler, obj): + if False: #_use_diff: + if obj.__name__.split('.', 1)[0] != "dill": + try: + changed = diff.whats_changed(obj, seen=pickler._diff_cache)[0] + except RuntimeError: # not memorised module, probably part of dill + pass + else: + logger.trace(pickler, "M2: %s with diff", obj) + logger.info("Diff: %s", changed.keys()) + pickler.save_reduce(_import_module, (obj.__name__,), obj=obj, + state=changed) + logger.trace(pickler, "# M2") + return + + logger.trace(pickler, "M1: %s", obj) + pickler.save_reduce(_import_module, (obj.__name__,), obj=obj) + logger.trace(pickler, "# M1") + else: + builtin_mod = _is_builtin_module(obj) + is_session_main = is_dill(pickler, child=True) and obj is pickler._main + if (obj.__name__ not in ("builtins", "dill", "dill._dill") and not builtin_mod + or is_session_main): + logger.trace(pickler, "M1: %s", obj) + # Hack for handling module-type objects in load_module(). + mod_name = obj.__name__ if _is_imported_module(obj) else '__runtime__.%s' % obj.__name__ + # Second references are saved as __builtin__.__main__ in save_module_dict(). + main_dict = obj.__dict__.copy() + for item in ('__builtins__', '__loader__'): + main_dict.pop(item, None) + for item in IPYTHON_SINGLETONS: #pragma: no cover + if getattr(main_dict.get(item), '__module__', '').startswith('IPython'): + del main_dict[item] + pickler.save_reduce(_import_module, (mod_name,), obj=obj, state=main_dict) + logger.trace(pickler, "# M1") + elif obj.__name__ == "dill._dill": + logger.trace(pickler, "M2: %s", obj) + pickler.save_global(obj, name="_dill") + logger.trace(pickler, "# M2") + else: + logger.trace(pickler, "M2: %s", obj) + pickler.save_reduce(_import_module, (obj.__name__,), obj=obj) + logger.trace(pickler, "# M2") + return + +# The following function is based on '_extract_class_dict' from 'cloudpickle' +# Copyright (c) 2012, Regents of the University of California. +# Copyright (c) 2009 `PiCloud, Inc. `_. +# License: https://github.com/cloudpipe/cloudpickle/blob/master/LICENSE +def _get_typedict_type(cls, clsdict, attrs, postproc_list): + """Retrieve a copy of the dict of a class without the inherited methods""" + if len(cls.__bases__) == 1: + inherited_dict = cls.__bases__[0].__dict__ + else: + inherited_dict = {} + for base in reversed(cls.__bases__): + inherited_dict.update(base.__dict__) + to_remove = [] + for name, value in dict.items(clsdict): + try: + base_value = inherited_dict[name] + if value is base_value and hasattr(value, '__qualname__'): + to_remove.append(name) + except KeyError: + pass + for name in to_remove: + dict.pop(clsdict, name) + + if issubclass(type(cls), type): + clsdict.pop('__dict__', None) + clsdict.pop('__weakref__', None) + # clsdict.pop('__prepare__', None) + return clsdict, attrs + +def _get_typedict_abc(obj, _dict, attrs, postproc_list): + if hasattr(abc, '_get_dump'): + (registry, _, _, _) = abc._get_dump(obj) + register = obj.register + postproc_list.extend((register, (reg(),)) for reg in registry) + elif hasattr(obj, '_abc_registry'): + registry = obj._abc_registry + register = obj.register + postproc_list.extend((register, (reg,)) for reg in registry) + else: + raise PicklingError("Cannot find registry of ABC %s", obj) + + if '_abc_registry' in _dict: + _dict.pop('_abc_registry', None) + _dict.pop('_abc_cache', None) + _dict.pop('_abc_negative_cache', None) + # _dict.pop('_abc_negative_cache_version', None) + else: + _dict.pop('_abc_impl', None) + return _dict, attrs + +@register(TypeType) +def save_type(pickler, obj, postproc_list=None): + if obj in _typemap: + logger.trace(pickler, "T1: %s", obj) + # if obj in _incedental_types: + # warnings.warn('Type %r may only exist on this implementation of Python and cannot be unpickled in other implementations.' % (obj,), PicklingWarning) + pickler.save_reduce(_load_type, (_typemap[obj],), obj=obj) + logger.trace(pickler, "# T1") + elif obj.__bases__ == (tuple,) and all([hasattr(obj, attr) for attr in ('_fields','_asdict','_make','_replace')]): + # special case: namedtuples + logger.trace(pickler, "T6: %s", obj) + + obj_name = getattr(obj, '__qualname__', getattr(obj, '__name__', None)) + if obj.__name__ != obj_name: + if postproc_list is None: + postproc_list = [] + postproc_list.append((setattr, (obj, '__qualname__', obj_name))) + + if not obj._field_defaults: + _save_with_postproc(pickler, (_create_namedtuple, (obj.__name__, obj._fields, obj.__module__)), obj=obj, postproc_list=postproc_list) + else: + defaults = [obj._field_defaults[field] for field in obj._fields if field in obj._field_defaults] + _save_with_postproc(pickler, (_create_namedtuple, (obj.__name__, obj._fields, obj.__module__, defaults)), obj=obj, postproc_list=postproc_list) + logger.trace(pickler, "# T6") + return + + # special cases: NoneType, NotImplementedType, EllipsisType, EnumMeta + elif obj is type(None): + logger.trace(pickler, "T7: %s", obj) + #XXX: pickler.save_reduce(type, (None,), obj=obj) + pickler.write(GLOBAL + b'__builtin__\nNoneType\n') + logger.trace(pickler, "# T7") + elif obj is NotImplementedType: + logger.trace(pickler, "T7: %s", obj) + pickler.save_reduce(type, (NotImplemented,), obj=obj) + logger.trace(pickler, "# T7") + elif obj is EllipsisType: + logger.trace(pickler, "T7: %s", obj) + pickler.save_reduce(type, (Ellipsis,), obj=obj) + logger.trace(pickler, "# T7") + elif obj is EnumMeta: + logger.trace(pickler, "T7: %s", obj) + pickler.write(GLOBAL + b'enum\nEnumMeta\n') + logger.trace(pickler, "# T7") + + else: + _byref = getattr(pickler, '_byref', None) + obj_recursive = id(obj) in getattr(pickler, '_postproc', ()) + incorrectly_named = not _locate_function(obj, pickler) + if not _byref and not obj_recursive and incorrectly_named: # not a function, but the name was held over + if postproc_list is None: + postproc_list = [] + + # thanks to Tom Stepleton pointing out pickler._session unneeded + logger.trace(pickler, "T2: %s", obj) + _dict, attrs = _get_typedict_type(obj, obj.__dict__.copy(), None, postproc_list) # copy dict proxy to a dict + + #print (_dict) + #print ("%s\n%s" % (type(obj), obj.__name__)) + #print ("%s\n%s" % (obj.__bases__, obj.__dict__)) + slots = _dict.get('__slots__', ()) + if type(slots) == str: + # __slots__ accepts a single string + slots = (slots,) + + for name in slots: + _dict.pop(name, None) + + if isinstance(obj, abc.ABCMeta): + logger.trace(pickler, "ABC: %s", obj) + _dict, attrs = _get_typedict_abc(obj, _dict, attrs, postproc_list) + logger.trace(pickler, "# ABC") + + qualname = getattr(obj, '__qualname__', None) + if attrs is not None: + for k, v in attrs.items(): + postproc_list.append((setattr, (obj, k, v))) + # TODO: Consider using the state argument to save_reduce? + if qualname is not None: + postproc_list.append((setattr, (obj, '__qualname__', qualname))) + + if not hasattr(obj, '__orig_bases__'): + _save_with_postproc(pickler, (_create_type, ( + type(obj), obj.__name__, obj.__bases__, _dict + )), obj=obj, postproc_list=postproc_list) + else: + # This case will always work, but might be overkill. + _metadict = { + 'metaclass': type(obj) + } + + if _dict: + _dict_update = PartialType(_setitems, source=_dict) + else: + _dict_update = None + + _save_with_postproc(pickler, (new_class, ( + obj.__name__, obj.__orig_bases__, _metadict, _dict_update + )), obj=obj, postproc_list=postproc_list) + logger.trace(pickler, "# T2") + else: + obj_name = getattr(obj, '__qualname__', getattr(obj, '__name__', None)) + logger.trace(pickler, "T4: %s", obj) + if incorrectly_named: + warnings.warn( + "Cannot locate reference to %r." % (obj,), + PicklingWarning, + stacklevel=3, + ) + if obj_recursive: + warnings.warn( + "Cannot pickle %r: %s.%s has recursive self-references that " + "trigger a RecursionError." % (obj, obj.__module__, obj_name), + PicklingWarning, + stacklevel=3, + ) + #print (obj.__dict__) + #print ("%s\n%s" % (type(obj), obj.__name__)) + #print ("%s\n%s" % (obj.__bases__, obj.__dict__)) + StockPickler.save_global(pickler, obj, name=obj_name) + logger.trace(pickler, "# T4") + return + +@register(property) +@register(abc.abstractproperty) +def save_property(pickler, obj): + logger.trace(pickler, "Pr: %s", obj) + pickler.save_reduce(type(obj), (obj.fget, obj.fset, obj.fdel, obj.__doc__), + obj=obj) + logger.trace(pickler, "# Pr") + +@register(staticmethod) +@register(classmethod) +@register(abc.abstractstaticmethod) +@register(abc.abstractclassmethod) +def save_classmethod(pickler, obj): + logger.trace(pickler, "Cm: %s", obj) + orig_func = obj.__func__ + + # if type(obj.__dict__) is dict: + # if obj.__dict__: + # state = obj.__dict__ + # else: + # state = None + # else: + # state = (None, {'__dict__', obj.__dict__}) + + pickler.save_reduce(type(obj), (orig_func,), obj=obj) + logger.trace(pickler, "# Cm") + +@register(FunctionType) +def save_function(pickler, obj): + if not _locate_function(obj, pickler): + if type(obj.__code__) is not CodeType: + # Some PyPy builtin functions have no module name, and thus are not + # able to be located + module_name = getattr(obj, '__module__', None) + if module_name is None: + module_name = __builtin__.__name__ + module = _import_module(module_name, safe=True) + _pypy_builtin = False + try: + found, _ = _getattribute(module, obj.__qualname__) + if getattr(found, '__func__', None) is obj: + _pypy_builtin = True + except AttributeError: + pass + + if _pypy_builtin: + logger.trace(pickler, "F3: %s", obj) + pickler.save_reduce(getattr, (found, '__func__'), obj=obj) + logger.trace(pickler, "# F3") + return + + logger.trace(pickler, "F1: %s", obj) + _recurse = getattr(pickler, '_recurse', None) + _postproc = getattr(pickler, '_postproc', None) + _main_modified = getattr(pickler, '_main_modified', None) + _original_main = getattr(pickler, '_original_main', __builtin__)#'None' + postproc_list = [] + if _recurse: + # recurse to get all globals referred to by obj + from .detect import globalvars + globs_copy = globalvars(obj, recurse=True, builtin=True) + + # Add the name of the module to the globs dictionary to prevent + # the duplication of the dictionary. Pickle the unpopulated + # globals dictionary and set the remaining items after the function + # is created to correctly handle recursion. + globs = {'__name__': obj.__module__} + else: + globs_copy = obj.__globals__ + + # If the globals is the __dict__ from the module being saved as a + # session, substitute it by the dictionary being actually saved. + if _main_modified and globs_copy is _original_main.__dict__: + globs_copy = getattr(pickler, '_main', _original_main).__dict__ + globs = globs_copy + # If the globals is a module __dict__, do not save it in the pickle. + elif globs_copy is not None and obj.__module__ is not None and \ + getattr(_import_module(obj.__module__, True), '__dict__', None) is globs_copy: + globs = globs_copy + else: + globs = {'__name__': obj.__module__} + + if globs_copy is not None and globs is not globs_copy: + # In the case that the globals are copied, we need to ensure that + # the globals dictionary is updated when all objects in the + # dictionary are already created. + glob_ids = {id(g) for g in globs_copy.values()} + for stack_element in _postproc: + if stack_element in glob_ids: + _postproc[stack_element].append((_setitems, (globs, globs_copy))) + break + else: + postproc_list.append((_setitems, (globs, globs_copy))) + + closure = obj.__closure__ + state_dict = {} + for fattrname in ('__doc__', '__kwdefaults__', '__annotations__'): + fattr = getattr(obj, fattrname, None) + if fattr is not None: + state_dict[fattrname] = fattr + if obj.__qualname__ != obj.__name__: + state_dict['__qualname__'] = obj.__qualname__ + if '__name__' not in globs or obj.__module__ != globs['__name__']: + state_dict['__module__'] = obj.__module__ + + state = obj.__dict__ + if type(state) is not dict: + state_dict['__dict__'] = state + state = None + if state_dict: + state = state, state_dict + + _save_with_postproc(pickler, (_create_function, ( + obj.__code__, globs, obj.__name__, obj.__defaults__, + closure + ), state), obj=obj, postproc_list=postproc_list) + + # Lift closure cell update to earliest function (#458) + if _postproc: + topmost_postproc = next(iter(_postproc.values()), None) + if closure and topmost_postproc: + for cell in closure: + possible_postproc = (setattr, (cell, 'cell_contents', obj)) + try: + topmost_postproc.remove(possible_postproc) + except ValueError: + continue + + # Change the value of the cell + pickler.save_reduce(*possible_postproc) + # pop None created by calling preprocessing step off stack + pickler.write(POP) + + logger.trace(pickler, "# F1") + else: + logger.trace(pickler, "F2: %s", obj) + name = getattr(obj, '__qualname__', getattr(obj, '__name__', None)) + StockPickler.save_global(pickler, obj, name=name) + logger.trace(pickler, "# F2") + return + +if HAS_CTYPES and hasattr(ctypes, 'pythonapi'): + _PyCapsule_New = ctypes.pythonapi.PyCapsule_New + _PyCapsule_New.argtypes = (ctypes.c_void_p, ctypes.c_char_p, ctypes.c_void_p) + _PyCapsule_New.restype = ctypes.py_object + _PyCapsule_GetPointer = ctypes.pythonapi.PyCapsule_GetPointer + _PyCapsule_GetPointer.argtypes = (ctypes.py_object, ctypes.c_char_p) + _PyCapsule_GetPointer.restype = ctypes.c_void_p + _PyCapsule_GetDestructor = ctypes.pythonapi.PyCapsule_GetDestructor + _PyCapsule_GetDestructor.argtypes = (ctypes.py_object,) + _PyCapsule_GetDestructor.restype = ctypes.c_void_p + _PyCapsule_GetContext = ctypes.pythonapi.PyCapsule_GetContext + _PyCapsule_GetContext.argtypes = (ctypes.py_object,) + _PyCapsule_GetContext.restype = ctypes.c_void_p + _PyCapsule_GetName = ctypes.pythonapi.PyCapsule_GetName + _PyCapsule_GetName.argtypes = (ctypes.py_object,) + _PyCapsule_GetName.restype = ctypes.c_char_p + _PyCapsule_IsValid = ctypes.pythonapi.PyCapsule_IsValid + _PyCapsule_IsValid.argtypes = (ctypes.py_object, ctypes.c_char_p) + _PyCapsule_IsValid.restype = ctypes.c_bool + _PyCapsule_SetContext = ctypes.pythonapi.PyCapsule_SetContext + _PyCapsule_SetContext.argtypes = (ctypes.py_object, ctypes.c_void_p) + _PyCapsule_SetDestructor = ctypes.pythonapi.PyCapsule_SetDestructor + _PyCapsule_SetDestructor.argtypes = (ctypes.py_object, ctypes.c_void_p) + _PyCapsule_SetName = ctypes.pythonapi.PyCapsule_SetName + _PyCapsule_SetName.argtypes = (ctypes.py_object, ctypes.c_char_p) + _PyCapsule_SetPointer = ctypes.pythonapi.PyCapsule_SetPointer + _PyCapsule_SetPointer.argtypes = (ctypes.py_object, ctypes.c_void_p) + #from _socket import CAPI as _testcapsule + _testcapsule_name = b'dill._dill._testcapsule' + _testcapsule = _PyCapsule_New( + ctypes.cast(_PyCapsule_New, ctypes.c_void_p), + ctypes.c_char_p(_testcapsule_name), + None + ) + PyCapsuleType = type(_testcapsule) + @register(PyCapsuleType) + def save_capsule(pickler, obj): + logger.trace(pickler, "Cap: %s", obj) + name = _PyCapsule_GetName(obj) + #warnings.warn('Pickling a PyCapsule (%s) does not pickle any C data structures and could cause segmentation faults or other memory errors when unpickling.' % (name,), PicklingWarning) + pointer = _PyCapsule_GetPointer(obj, name) + context = _PyCapsule_GetContext(obj) + destructor = _PyCapsule_GetDestructor(obj) + pickler.save_reduce(_create_capsule, (pointer, name, context, destructor), obj=obj) + logger.trace(pickler, "# Cap") + _incedental_reverse_typemap['PyCapsuleType'] = PyCapsuleType + _reverse_typemap['PyCapsuleType'] = PyCapsuleType + _incedental_types.add(PyCapsuleType) +else: + _testcapsule = None + + +############################# +# A quick fix for issue #500 +# This should be removed when a better solution is found. + +if hasattr(dataclasses, "_HAS_DEFAULT_FACTORY_CLASS"): + @register(dataclasses._HAS_DEFAULT_FACTORY_CLASS) + def save_dataclasses_HAS_DEFAULT_FACTORY_CLASS(pickler, obj): + logger.trace(pickler, "DcHDF: %s", obj) + pickler.write(GLOBAL + b"dataclasses\n_HAS_DEFAULT_FACTORY\n") + logger.trace(pickler, "# DcHDF") + +if hasattr(dataclasses, "MISSING"): + @register(type(dataclasses.MISSING)) + def save_dataclasses_MISSING_TYPE(pickler, obj): + logger.trace(pickler, "DcM: %s", obj) + pickler.write(GLOBAL + b"dataclasses\nMISSING\n") + logger.trace(pickler, "# DcM") + +if hasattr(dataclasses, "KW_ONLY"): + @register(type(dataclasses.KW_ONLY)) + def save_dataclasses_KW_ONLY_TYPE(pickler, obj): + logger.trace(pickler, "DcKWO: %s", obj) + pickler.write(GLOBAL + b"dataclasses\nKW_ONLY\n") + logger.trace(pickler, "# DcKWO") + +if hasattr(dataclasses, "_FIELD_BASE"): + @register(dataclasses._FIELD_BASE) + def save_dataclasses_FIELD_BASE(pickler, obj): + logger.trace(pickler, "DcFB: %s", obj) + pickler.write(GLOBAL + b"dataclasses\n" + obj.name.encode() + b"\n") + logger.trace(pickler, "# DcFB") + +############################# + +# quick sanity checking +def pickles(obj,exact=False,safe=False,**kwds): + """ + Quick check if object pickles with dill. + + If *exact=True* then an equality test is done to check if the reconstructed + object matches the original object. + + If *safe=True* then any exception will raised in copy signal that the + object is not picklable, otherwise only pickling errors will be trapped. + + Additional keyword arguments are as :func:`dumps` and :func:`loads`. + """ + if safe: exceptions = (Exception,) # RuntimeError, ValueError + else: + exceptions = (TypeError, AssertionError, NotImplementedError, PicklingError, UnpicklingError) + try: + pik = copy(obj, **kwds) + #FIXME: should check types match first, then check content if "exact" + try: + #FIXME: should be "(pik == obj).all()" for numpy comparison, though that'll fail if shapes differ + result = bool(pik.all() == obj.all()) + except (AttributeError, TypeError): + warnings.filterwarnings('ignore') #FIXME: be specific + result = pik == obj + if warnings.filters: del warnings.filters[0] + if hasattr(result, 'toarray'): # for unusual types like sparse matrix + result = result.toarray().all() + if result: return True + if not exact: + result = type(pik) == type(obj) + if result: return result + # class instances might have been dumped with byref=False + return repr(type(pik)) == repr(type(obj)) #XXX: InstanceType? + return False + except exceptions: + return False + +def check(obj, *args, **kwds): + """ + Check pickling of an object across another process. + + *python* is the path to the python interpreter (defaults to sys.executable) + + Set *verbose=True* to print the unpickled object in the other process. + + Additional keyword arguments are as :func:`dumps` and :func:`loads`. + """ + # == undocumented == + # python -- the string path or executable name of the selected python + # verbose -- if True, be verbose about printing warning messages + # all other args and kwds are passed to dill.dumps #FIXME: ignore on load + verbose = kwds.pop('verbose', False) + python = kwds.pop('python', None) + if python is None: + import sys + python = sys.executable + # type check + isinstance(python, str) + import subprocess + fail = True + try: + _obj = dumps(obj, *args, **kwds) + fail = False + finally: + if fail and verbose: + print("DUMP FAILED") + #FIXME: fails if python interpreter path contains spaces + # Use the following instead (which also processes the 'ignore' keyword): + # ignore = kwds.pop('ignore', None) + # unpickle = "dill.loads(%s, ignore=%s)"%(repr(_obj), repr(ignore)) + # cmd = [python, "-c", "import dill; print(%s)"%unpickle] + # msg = "SUCCESS" if not subprocess.call(cmd) else "LOAD FAILED" + msg = "%s -c import dill; print(dill.loads(%s))" % (python, repr(_obj)) + msg = "SUCCESS" if not subprocess.call(msg.split(None,2)) else "LOAD FAILED" + if verbose: + print(msg) + return + +# use to protect against missing attributes +def is_dill(pickler, child=None): + "check the dill-ness of your pickler" + if child is False or not hasattr(pickler.__class__, 'mro'): + return 'dill' in pickler.__module__ + return Pickler in pickler.__class__.mro() + +def _extend(): + """extend pickle with all of dill's registered types""" + # need to have pickle not choke on _main_module? use is_dill(pickler) + for t,func in Pickler.dispatch.items(): + try: + StockPickler.dispatch[t] = func + except Exception: #TypeError, PicklingError, UnpicklingError + logger.trace(pickler, "skip: %s", t) + return + +del diff, _use_diff, use_diff + +# EOF diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/_objects.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/_objects.py new file mode 100644 index 0000000000000000000000000000000000000000..b2c02d3bbcf025144c9296c5d3ef30d5318a1870 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/_objects.py @@ -0,0 +1,537 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +all Python Standard Library objects (currently: CH 1-15 @ 2.7) +and some other common objects (i.e. numpy.ndarray) +""" + +__all__ = ['registered','failures','succeeds'] + +# helper imports +import warnings; warnings.filterwarnings("ignore", category=DeprecationWarning) +import sys +import queue as Queue +import dbm as anydbm +from io import BytesIO as StringIO +import re +import array +import collections +import codecs +import struct +import dataclasses +import datetime +import calendar +import weakref +import pprint +import decimal +import numbers +import functools +import itertools +import operator +import tempfile +import shelve +import zlib +import gzip +import zipfile +import tarfile +import csv +import hashlib +import hmac +import os +import logging +import logging.handlers +import optparse +#import __hello__ +import threading +import socket +import contextlib +try: + import bz2 + import sqlite3 + import dbm.ndbm as dbm + HAS_ALL = True +except ImportError: # Ubuntu + HAS_ALL = False +try: + #import curses + #from curses import textpad, panel + HAS_CURSES = True +except ImportError: # Windows + HAS_CURSES = False +try: + import ctypes + HAS_CTYPES = True + # if using `pypy`, pythonapi is not found + IS_PYPY = not hasattr(ctypes, 'pythonapi') +except ImportError: # MacPorts + HAS_CTYPES = False + IS_PYPY = False + +# helper objects +class _class: + def _method(self): + pass +# @classmethod +# def _clsmethod(cls): #XXX: test me +# pass +# @staticmethod +# def _static(self): #XXX: test me +# pass +class _class2: + def __call__(self): + pass +_instance2 = _class2() +class _newclass(object): + def _method(self): + pass +# @classmethod +# def _clsmethod(cls): #XXX: test me +# pass +# @staticmethod +# def _static(self): #XXX: test me +# pass +class _newclass2(object): + __slots__ = ['descriptor'] +def _function(x): yield x +def _function2(): + try: raise + except Exception: + from sys import exc_info + e, er, tb = exc_info() + return er, tb +if HAS_CTYPES: + class _Struct(ctypes.Structure): + pass + _Struct._fields_ = [("_field", ctypes.c_int),("next", ctypes.POINTER(_Struct))] +_filedescrip, _tempfile = tempfile.mkstemp('r') # deleted in cleanup +if sys.hexversion < 0x30d00a1: + _tmpf = tempfile.TemporaryFile('w') # emits OSError 9 in python 3.13 +else: + _tmpf = tempfile.NamedTemporaryFile('w').file # for > python 3.9 + +# objects used by dill for type declaration +registered = d = {} +# objects dill fails to pickle +failures = x = {} +# all other type objects +succeeds = a = {} + +# types module (part of CH 8) +a['BooleanType'] = bool(1) +a['BuiltinFunctionType'] = len +a['BuiltinMethodType'] = a['BuiltinFunctionType'] +a['BytesType'] = _bytes = codecs.latin_1_encode('\x00')[0] # bytes(1) +a['ClassType'] = _class +a['ComplexType'] = complex(1) +a['DictType'] = _dict = {} +a['DictionaryType'] = a['DictType'] +a['FloatType'] = float(1) +a['FunctionType'] = _function +a['InstanceType'] = _instance = _class() +a['IntType'] = _int = int(1) +a['ListType'] = _list = [] +a['NoneType'] = None +a['ObjectType'] = object() +a['StringType'] = _str = str(1) +a['TupleType'] = _tuple = () +a['TypeType'] = type +a['LongType'] = _int +a['UnicodeType'] = _str +# built-in constants (CH 4) +a['CopyrightType'] = copyright +# built-in types (CH 5) +a['ClassObjectType'] = _newclass # +a['ClassInstanceType'] = _newclass() # +a['SetType'] = _set = set() +a['FrozenSetType'] = frozenset() +# built-in exceptions (CH 6) +a['ExceptionType'] = _exception = _function2()[0] +# string services (CH 7) +a['SREPatternType'] = _srepattern = re.compile('') +# data types (CH 8) +a['ArrayType'] = array.array("f") +a['DequeType'] = collections.deque([0]) +a['DefaultDictType'] = collections.defaultdict(_function, _dict) +a['TZInfoType'] = datetime.tzinfo() +a['DateTimeType'] = datetime.datetime.today() +a['CalendarType'] = calendar.Calendar() +# numeric and mathematical types (CH 9) +a['DecimalType'] = decimal.Decimal(1) +a['CountType'] = itertools.count(0) +# data compression and archiving (CH 12) +a['TarInfoType'] = tarfile.TarInfo() +# generic operating system services (CH 15) +a['LoggerType'] = _logger = logging.getLogger() +a['FormatterType'] = logging.Formatter() # pickle ok +a['FilterType'] = logging.Filter() # pickle ok +a['LogRecordType'] = logging.makeLogRecord(_dict) # pickle ok +a['OptionParserType'] = _oparser = optparse.OptionParser() # pickle ok +a['OptionGroupType'] = optparse.OptionGroup(_oparser,"foo") # pickle ok +a['OptionType'] = optparse.Option('--foo') # pickle ok +if HAS_CTYPES: + z = x if IS_PYPY else a + z['CCharType'] = _cchar = ctypes.c_char() + z['CWCharType'] = ctypes.c_wchar() # fail == 2.6 + z['CByteType'] = ctypes.c_byte() + z['CUByteType'] = ctypes.c_ubyte() + z['CShortType'] = ctypes.c_short() + z['CUShortType'] = ctypes.c_ushort() + z['CIntType'] = ctypes.c_int() + z['CUIntType'] = ctypes.c_uint() + z['CLongType'] = ctypes.c_long() + z['CULongType'] = ctypes.c_ulong() + z['CLongLongType'] = ctypes.c_longlong() + z['CULongLongType'] = ctypes.c_ulonglong() + z['CFloatType'] = ctypes.c_float() + z['CDoubleType'] = ctypes.c_double() + z['CSizeTType'] = ctypes.c_size_t() + del z + a['CLibraryLoaderType'] = ctypes.cdll + a['StructureType'] = _Struct + # if not IS_PYPY: + # a['BigEndianStructureType'] = ctypes.BigEndianStructure() +#NOTE: also LittleEndianStructureType and UnionType... abstract classes +#NOTE: remember for ctypesobj.contents creates a new python object +#NOTE: ctypes.c_int._objects is memberdescriptor for object's __dict__ +#NOTE: base class of all ctypes data types is non-public _CData + +import fractions +import io +from io import StringIO as TextIO +# built-in functions (CH 2) +a['ByteArrayType'] = bytearray([1]) +# numeric and mathematical types (CH 9) +a['FractionType'] = fractions.Fraction() +a['NumberType'] = numbers.Number() +# generic operating system services (CH 15) +a['IOBaseType'] = io.IOBase() +a['RawIOBaseType'] = io.RawIOBase() +a['TextIOBaseType'] = io.TextIOBase() +a['BufferedIOBaseType'] = io.BufferedIOBase() +a['UnicodeIOType'] = TextIO() # the new StringIO +a['LoggerAdapterType'] = logging.LoggerAdapter(_logger,_dict) # pickle ok +if HAS_CTYPES: + z = x if IS_PYPY else a + z['CBoolType'] = ctypes.c_bool(1) + z['CLongDoubleType'] = ctypes.c_longdouble() + del z +import argparse +# data types (CH 8) +a['OrderedDictType'] = collections.OrderedDict(_dict) +a['CounterType'] = collections.Counter(_dict) +if HAS_CTYPES: + z = x if IS_PYPY else a + z['CSSizeTType'] = ctypes.c_ssize_t() + del z +# generic operating system services (CH 15) +a['NullHandlerType'] = logging.NullHandler() # pickle ok # new 2.7 +a['ArgParseFileType'] = argparse.FileType() # pickle ok + +# -- pickle fails on all below here ----------------------------------------- +# types module (part of CH 8) +a['CodeType'] = compile('','','exec') +a['DictProxyType'] = type.__dict__ +a['DictProxyType2'] = _newclass.__dict__ +a['EllipsisType'] = Ellipsis +a['ClosedFileType'] = open(os.devnull, 'wb', buffering=0).close() +a['GetSetDescriptorType'] = array.array.typecode +a['LambdaType'] = _lambda = lambda x: lambda y: x #XXX: works when not imported! +a['MemberDescriptorType'] = _newclass2.descriptor +if not IS_PYPY: + a['MemberDescriptorType2'] = datetime.timedelta.days +a['MethodType'] = _method = _class()._method #XXX: works when not imported! +a['ModuleType'] = datetime +a['NotImplementedType'] = NotImplemented +a['SliceType'] = slice(1) +a['UnboundMethodType'] = _class._method #XXX: works when not imported! +d['TextWrapperType'] = open(os.devnull, 'r') # same as mode='w','w+','r+' +d['BufferedRandomType'] = open(os.devnull, 'r+b') # same as mode='w+b' +d['BufferedReaderType'] = open(os.devnull, 'rb') # (default: buffering=-1) +d['BufferedWriterType'] = open(os.devnull, 'wb') +try: # oddities: deprecated + from _pyio import open as _open + d['PyTextWrapperType'] = _open(os.devnull, 'r', buffering=-1) + d['PyBufferedRandomType'] = _open(os.devnull, 'r+b', buffering=-1) + d['PyBufferedReaderType'] = _open(os.devnull, 'rb', buffering=-1) + d['PyBufferedWriterType'] = _open(os.devnull, 'wb', buffering=-1) +except ImportError: + pass +# other (concrete) object types +z = d if sys.hexversion < 0x30800a2 else a +z['CellType'] = (_lambda)(0).__closure__[0] +del z +a['XRangeType'] = _xrange = range(1) +a['MethodDescriptorType'] = type.__dict__['mro'] +a['WrapperDescriptorType'] = type.__repr__ +#a['WrapperDescriptorType2'] = type.__dict__['__module__']#XXX: GetSetDescriptor +a['ClassMethodDescriptorType'] = type.__dict__['__prepare__'] +# built-in functions (CH 2) +_methodwrap = (1).__lt__ +a['MethodWrapperType'] = _methodwrap +a['StaticMethodType'] = staticmethod(_method) +a['ClassMethodType'] = classmethod(_method) +a['PropertyType'] = property() +d['SuperType'] = super(Exception, _exception) +# string services (CH 7) +_in = _bytes +a['InputType'] = _cstrI = StringIO(_in) +a['OutputType'] = _cstrO = StringIO() +# data types (CH 8) +a['WeakKeyDictionaryType'] = weakref.WeakKeyDictionary() +a['WeakValueDictionaryType'] = weakref.WeakValueDictionary() +a['ReferenceType'] = weakref.ref(_instance) +a['DeadReferenceType'] = weakref.ref(_class()) +a['ProxyType'] = weakref.proxy(_instance) +a['DeadProxyType'] = weakref.proxy(_class()) +a['CallableProxyType'] = weakref.proxy(_instance2) +a['DeadCallableProxyType'] = weakref.proxy(_class2()) +a['QueueType'] = Queue.Queue() +# numeric and mathematical types (CH 9) +d['PartialType'] = functools.partial(int,base=2) +a['IzipType'] = zip('0','1') +a['ChainType'] = itertools.chain('0','1') +d['ItemGetterType'] = operator.itemgetter(0) +d['AttrGetterType'] = operator.attrgetter('__repr__') +# file and directory access (CH 10) +_fileW = _cstrO +# data persistence (CH 11) +if HAS_ALL: + x['ConnectionType'] = _conn = sqlite3.connect(':memory:') + x['CursorType'] = _conn.cursor() +a['ShelveType'] = shelve.Shelf({}) +# data compression and archiving (CH 12) +if HAS_ALL: + x['BZ2FileType'] = bz2.BZ2File(os.devnull) + x['BZ2CompressorType'] = bz2.BZ2Compressor() + x['BZ2DecompressorType'] = bz2.BZ2Decompressor() +#x['ZipFileType'] = _zip = zipfile.ZipFile(os.devnull,'w') +#_zip.write(_tempfile,'x') [causes annoying warning/error printed on import] +#a['ZipInfoType'] = _zip.getinfo('x') +a['TarFileType'] = tarfile.open(fileobj=_fileW,mode='w') +# file formats (CH 13) +x['DialectType'] = csv.get_dialect('excel') +if sys.hexversion < 0x30d00a1: + import xdrlib + a['PackerType'] = xdrlib.Packer() +# optional operating system services (CH 16) +a['LockType'] = threading.Lock() +a['RLockType'] = threading.RLock() +# generic operating system services (CH 15) # also closed/open and r/w/etc... +a['NamedLoggerType'] = _logger = logging.getLogger(__name__) +#a['FrozenModuleType'] = __hello__ #FIXME: prints "Hello world..." +# interprocess communication (CH 17) +x['SocketType'] = _socket = socket.socket() +x['SocketPairType'] = socket.socketpair()[0] +# python runtime services (CH 27) +a['GeneratorContextManagerType'] = contextlib.contextmanager(max)([1]) + +try: # ipython + __IPYTHON__ is True # is ipython +except NameError: + # built-in constants (CH 4) + a['QuitterType'] = quit + d['ExitType'] = a['QuitterType'] +try: # numpy #FIXME: slow... 0.05 to 0.1 sec to import numpy + from numpy import ufunc as _numpy_ufunc + from numpy import array as _numpy_array + from numpy import int32 as _numpy_int32 + a['NumpyUfuncType'] = _numpy_ufunc + a['NumpyArrayType'] = _numpy_array + a['NumpyInt32Type'] = _numpy_int32 +except ImportError: + pass +# numeric and mathematical types (CH 9) +a['ProductType'] = itertools.product('0','1') +# generic operating system services (CH 15) +a['FileHandlerType'] = logging.FileHandler(os.devnull) +a['RotatingFileHandlerType'] = logging.handlers.RotatingFileHandler(os.devnull) +a['SocketHandlerType'] = logging.handlers.SocketHandler('localhost',514) +a['MemoryHandlerType'] = logging.handlers.MemoryHandler(1) +# data types (CH 8) +a['WeakSetType'] = weakref.WeakSet() # 2.7 +# generic operating system services (CH 15) [errors when dill is imported] +#a['ArgumentParserType'] = _parser = argparse.ArgumentParser('PROG') +#a['NamespaceType'] = _parser.parse_args() # pickle ok +#a['SubParsersActionType'] = _parser.add_subparsers() +#a['MutuallyExclusiveGroupType'] = _parser.add_mutually_exclusive_group() +#a['ArgumentGroupType'] = _parser.add_argument_group() + +# -- dill fails in some versions below here --------------------------------- +# types module (part of CH 8) +d['FileType'] = open(os.devnull, 'rb', buffering=0) # same 'wb','wb+','rb+' +# built-in functions (CH 2) +# Iterators: +a['ListIteratorType'] = iter(_list) # empty vs non-empty +a['SetIteratorType'] = iter(_set) #XXX: empty vs non-empty #FIXME: list_iterator +a['TupleIteratorType']= iter(_tuple) # empty vs non-empty +a['XRangeIteratorType'] = iter(_xrange) # empty vs non-empty +a["BytesIteratorType"] = iter(b'') +a["BytearrayIteratorType"] = iter(bytearray(b'')) +z = x if IS_PYPY else a +z["CallableIteratorType"] = iter(iter, None) +del z +x["MemoryIteratorType"] = iter(memoryview(b'')) +a["ListReverseiteratorType"] = reversed([]) +X = a['OrderedDictType'] +d["OdictKeysType"] = X.keys() +d["OdictValuesType"] = X.values() +d["OdictItemsType"] = X.items() +a["OdictIteratorType"] = iter(X.keys()) #FIXME: list_iterator +del X +#FIXME: list_iterator +a['DictionaryItemIteratorType'] = iter(type.__dict__.items()) +a['DictionaryKeyIteratorType'] = iter(type.__dict__.keys()) +a['DictionaryValueIteratorType'] = iter(type.__dict__.values()) +if sys.hexversion >= 0x30800a0: + a["DictReversekeyiteratorType"] = reversed({}.keys()) + a["DictReversevalueiteratorType"] = reversed({}.values()) + a["DictReverseitemiteratorType"] = reversed({}.items()) + +try: + import symtable + #FIXME: fails to pickle + x["SymtableEntryType"] = symtable.symtable("", "string", "exec")._table +except ImportError: + pass + +if sys.hexversion >= 0x30a00a0 and not IS_PYPY: + x['LineIteratorType'] = compile('3', '', 'eval').co_lines() + +if sys.hexversion >= 0x30b00b0: + from types import GenericAlias + d["GenericAliasIteratorType"] = iter(GenericAlias(list, (int,))) + x['PositionsIteratorType'] = compile('3', '', 'eval').co_positions() + +# data types (CH 8) +a['PrettyPrinterType'] = pprint.PrettyPrinter() +# numeric and mathematical types (CH 9) +a['CycleType'] = itertools.cycle('0') +# file and directory access (CH 10) +a['TemporaryFileType'] = _tmpf +# data compression and archiving (CH 12) +x['GzipFileType'] = gzip.GzipFile(fileobj=_fileW) +# generic operating system services (CH 15) +a['StreamHandlerType'] = logging.StreamHandler() +# numeric and mathematical types (CH 9) +a['PermutationsType'] = itertools.permutations('0') +a['CombinationsType'] = itertools.combinations('0',1) +a['RepeatType'] = itertools.repeat(0) +a['CompressType'] = itertools.compress('0',[1]) +#XXX: ...and etc + +# -- dill fails on all below here ------------------------------------------- +# types module (part of CH 8) +x['GeneratorType'] = _generator = _function(1) #XXX: priority +x['FrameType'] = _generator.gi_frame #XXX: inspect.currentframe() +x['TracebackType'] = _function2()[1] #(see: inspect.getouterframes,getframeinfo) +# other (concrete) object types +# (also: Capsule / CObject ?) +# built-in functions (CH 2) +# built-in types (CH 5) +# string services (CH 7) +x['StructType'] = struct.Struct('c') +x['CallableIteratorType'] = _srepattern.finditer('') +x['SREMatchType'] = _srepattern.match('') +x['SREScannerType'] = _srepattern.scanner('') +x['StreamReader'] = codecs.StreamReader(_cstrI) #XXX: ... and etc +# python object persistence (CH 11) +# x['DbShelveType'] = shelve.open('foo','n')#,protocol=2) #XXX: delete foo +if HAS_ALL: + z = a if IS_PYPY else x + z['DbmType'] = dbm.open(_tempfile,'n') + del z +# x['DbCursorType'] = _dbcursor = anydbm.open('foo','n') #XXX: delete foo +# x['DbType'] = _dbcursor.db +# data compression and archiving (CH 12) +x['ZlibCompressType'] = zlib.compressobj() +x['ZlibDecompressType'] = zlib.decompressobj() +# file formats (CH 13) +x['CSVReaderType'] = csv.reader(_cstrI) +x['CSVWriterType'] = csv.writer(_cstrO) +x['CSVDictReaderType'] = csv.DictReader(_cstrI) +x['CSVDictWriterType'] = csv.DictWriter(_cstrO,{}) +# cryptographic services (CH 14) +x['HashType'] = hashlib.md5() +if (sys.hexversion < 0x30800a1): + x['HMACType'] = hmac.new(_in) +else: + x['HMACType'] = hmac.new(_in, digestmod='md5') +# generic operating system services (CH 15) +if HAS_CURSES: pass + #x['CursesWindowType'] = _curwin = curses.initscr() #FIXME: messes up tty + #x['CursesTextPadType'] = textpad.Textbox(_curwin) + #x['CursesPanelType'] = panel.new_panel(_curwin) +if HAS_CTYPES: + x['CCharPType'] = ctypes.c_char_p() + x['CWCharPType'] = ctypes.c_wchar_p() + x['CVoidPType'] = ctypes.c_void_p() + if sys.platform[:3] == 'win': + x['CDLLType'] = _cdll = ctypes.cdll.msvcrt + else: + x['CDLLType'] = _cdll = ctypes.CDLL(None) + if not IS_PYPY: + x['PyDLLType'] = _pydll = ctypes.pythonapi + x['FuncPtrType'] = _cdll._FuncPtr() + x['CCharArrayType'] = ctypes.create_string_buffer(1) + x['CWCharArrayType'] = ctypes.create_unicode_buffer(1) + x['CParamType'] = ctypes.byref(_cchar) + x['LPCCharType'] = ctypes.pointer(_cchar) + x['LPCCharObjType'] = _lpchar = ctypes.POINTER(ctypes.c_char) + x['NullPtrType'] = _lpchar() + x['NullPyObjectType'] = ctypes.py_object() + x['PyObjectType'] = ctypes.py_object(lambda :None) + z = a if IS_PYPY else x + z['FieldType'] = _field = _Struct._field + z['CFUNCTYPEType'] = _cfunc = ctypes.CFUNCTYPE(ctypes.c_char) + if sys.hexversion < 0x30c00b3: + x['CFunctionType'] = _cfunc(str) + del z +# numeric and mathematical types (CH 9) +a['MethodCallerType'] = operator.methodcaller('mro') # 2.6 +# built-in types (CH 5) +x['MemoryType'] = memoryview(_in) # 2.7 +x['MemoryType2'] = memoryview(bytearray(_in)) # 2.7 +d['DictItemsType'] = _dict.items() # 2.7 +d['DictKeysType'] = _dict.keys() # 2.7 +d['DictValuesType'] = _dict.values() # 2.7 +# generic operating system services (CH 15) +a['RawTextHelpFormatterType'] = argparse.RawTextHelpFormatter('PROG') +a['RawDescriptionHelpFormatterType'] = argparse.RawDescriptionHelpFormatter('PROG') +a['ArgDefaultsHelpFormatterType'] = argparse.ArgumentDefaultsHelpFormatter('PROG') +z = a if IS_PYPY else x +z['CmpKeyType'] = _cmpkey = functools.cmp_to_key(_methodwrap) # 2.7, >=3.2 +z['CmpKeyObjType'] = _cmpkey('0') #2.7, >=3.2 +del z +# oddities: removed, etc +x['BufferType'] = x['MemoryType'] + +from dill._dill import _testcapsule +if _testcapsule is not None: + d['PyCapsuleType'] = _testcapsule +del _testcapsule + +if hasattr(dataclasses, '_HAS_DEFAULT_FACTORY'): + a['DataclassesHasDefaultFactoryType'] = dataclasses._HAS_DEFAULT_FACTORY + +if hasattr(dataclasses, 'MISSING'): + a['DataclassesMissingType'] = dataclasses.MISSING + +if hasattr(dataclasses, 'KW_ONLY'): + a['DataclassesKWOnlyType'] = dataclasses.KW_ONLY + +if hasattr(dataclasses, '_FIELD_BASE'): + a['DataclassesFieldBaseType'] = dataclasses._FIELD + +# -- cleanup ---------------------------------------------------------------- +a.update(d) # registered also succeed +if sys.platform[:3] == 'win': + os.close(_filedescrip) # required on win32 +os.remove(_tempfile) + + +# EOF diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/_shims.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/_shims.py new file mode 100644 index 0000000000000000000000000000000000000000..da1abbecc834859271d5e096f041fe299e04e072 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/_shims.py @@ -0,0 +1,193 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Author: Anirudh Vegesana (avegesan@cs.stanford.edu) +# Copyright (c) 2021-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +Provides shims for compatibility between versions of dill and Python. + +Compatibility shims should be provided in this file. Here are two simple example +use cases. + +Deprecation of constructor function: +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Assume that we were transitioning _import_module in _dill.py to +the builtin function importlib.import_module when present. + +@move_to(_dill) +def _import_module(import_name): + ... # code already in _dill.py + +_import_module = Getattr(importlib, 'import_module', Getattr(_dill, '_import_module', None)) + +The code will attempt to find import_module in the importlib module. If not +present, it will use the _import_module function in _dill. + +Emulate new Python behavior in older Python versions: +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +CellType.cell_contents behaves differently in Python 3.6 and 3.7. It is +read-only in Python 3.6 and writable and deletable in 3.7. + +if _dill.OLD37 and _dill.HAS_CTYPES and ...: + @move_to(_dill) + def _setattr(object, name, value): + if type(object) is _dill.CellType and name == 'cell_contents': + _PyCell_Set.argtypes = (ctypes.py_object, ctypes.py_object) + _PyCell_Set(object, value) + else: + setattr(object, name, value) +... # more cases below + +_setattr = Getattr(_dill, '_setattr', setattr) + +_dill._setattr will be used when present to emulate Python 3.7 functionality in +older versions of Python while defaulting to the standard setattr in 3.7+. + +See this PR for the discussion that lead to this system: +https://github.com/uqfoundation/dill/pull/443 +""" + +import inspect +import sys + +_dill = sys.modules['dill._dill'] + + +class Reduce(object): + """ + Reduce objects are wrappers used for compatibility enforcement during + unpickle-time. They should only be used in calls to pickler.save and + other Reduce objects. They are only evaluated within unpickler.load. + + Pickling a Reduce object makes the two implementations equivalent: + + pickler.save(Reduce(*reduction)) + + pickler.save_reduce(*reduction, obj=reduction) + """ + __slots__ = ['reduction'] + def __new__(cls, *reduction, **kwargs): + """ + Args: + *reduction: a tuple that matches the format given here: + https://docs.python.org/3/library/pickle.html#object.__reduce__ + is_callable: a bool to indicate that the object created by + unpickling `reduction` is callable. If true, the current Reduce + is allowed to be used as the function in further save_reduce calls + or Reduce objects. + """ + is_callable = kwargs.get('is_callable', False) # Pleases Py2. Can be removed later + if is_callable: + self = object.__new__(_CallableReduce) + else: + self = object.__new__(Reduce) + self.reduction = reduction + return self + def __repr__(self): + return 'Reduce%s' % (self.reduction,) + def __copy__(self): + return self # pragma: no cover + def __deepcopy__(self, memo): + return self # pragma: no cover + def __reduce__(self): + return self.reduction + def __reduce_ex__(self, protocol): + return self.__reduce__() + +class _CallableReduce(Reduce): + # A version of Reduce for functions. Used to trick pickler.save_reduce into + # thinking that Reduce objects of functions are themselves meaningful functions. + def __call__(self, *args, **kwargs): + reduction = self.__reduce__() + func = reduction[0] + f_args = reduction[1] + obj = func(*f_args) + return obj(*args, **kwargs) + +__NO_DEFAULT = _dill.Sentinel('Getattr.NO_DEFAULT') + +def Getattr(object, name, default=__NO_DEFAULT): + """ + A Reduce object that represents the getattr operation. When unpickled, the + Getattr will access an attribute 'name' of 'object' and return the value + stored there. If the attribute doesn't exist, the default value will be + returned if present. + + The following statements are equivalent: + + Getattr(collections, 'OrderedDict') + Getattr(collections, 'spam', None) + Getattr(*args) + + Reduce(getattr, (collections, 'OrderedDict')) + Reduce(getattr, (collections, 'spam', None)) + Reduce(getattr, args) + + During unpickling, the first two will result in collections.OrderedDict and + None respectively because the first attribute exists and the second one does + not, forcing it to use the default value given in the third argument. + """ + + if default is Getattr.NO_DEFAULT: + reduction = (getattr, (object, name)) + else: + reduction = (getattr, (object, name, default)) + + return Reduce(*reduction, is_callable=callable(default)) + +Getattr.NO_DEFAULT = __NO_DEFAULT +del __NO_DEFAULT + +def move_to(module, name=None): + def decorator(func): + if name is None: + fname = func.__name__ + else: + fname = name + module.__dict__[fname] = func + func.__module__ = module.__name__ + return func + return decorator + +def register_shim(name, default): + """ + A easier to understand and more compact way of "softly" defining a function. + These two pieces of code are equivalent: + + if _dill.OLD3X: + def _create_class(): + ... + _create_class = register_shim('_create_class', types.new_class) + + if _dill.OLD3X: + @move_to(_dill) + def _create_class(): + ... + _create_class = Getattr(_dill, '_create_class', types.new_class) + + Intuitively, it creates a function or object in the versions of dill/python + that require special reimplementations, and use a core library or default + implementation if that function or object does not exist. + """ + func = globals().get(name) + if func is not None: + _dill.__dict__[name] = func + func.__module__ = _dill.__name__ + + if default is Getattr.NO_DEFAULT: + reduction = (getattr, (_dill, name)) + else: + reduction = (getattr, (_dill, name, default)) + + return Reduce(*reduction, is_callable=callable(default)) + +###################### +## Compatibility Shims are defined below +###################### + +_CELL_EMPTY = register_shim('_CELL_EMPTY', None) + +_setattr = register_shim('_setattr', setattr) +_delattr = register_shim('_delattr', delattr) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/detect.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/detect.py new file mode 100644 index 0000000000000000000000000000000000000000..6f76e729d2469fa3f028a189314977c11397edd7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/detect.py @@ -0,0 +1,284 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +Methods for detecting objects leading to pickling failures. +""" + +import dis +from inspect import ismethod, isfunction, istraceback, isframe, iscode + +from .pointers import parent, reference, at, parents, children +from .logger import trace + +__all__ = ['baditems','badobjects','badtypes','code','errors','freevars', + 'getmodule','globalvars','nestedcode','nestedglobals','outermost', + 'referredglobals','referrednested','trace','varnames'] + +def getmodule(object, _filename=None, force=False): + """get the module of the object""" + from inspect import getmodule as getmod + module = getmod(object, _filename) + if module or not force: return module + import builtins + from .source import getname + name = getname(object, force=True) + return builtins if name in vars(builtins).keys() else None + +def outermost(func): # is analogous to getsource(func,enclosing=True) + """get outermost enclosing object (i.e. the outer function in a closure) + + NOTE: this is the object-equivalent of getsource(func, enclosing=True) + """ + if ismethod(func): + _globals = func.__func__.__globals__ or {} + elif isfunction(func): + _globals = func.__globals__ or {} + else: + return #XXX: or raise? no matches + _globals = _globals.items() + # get the enclosing source + from .source import getsourcelines + try: lines,lnum = getsourcelines(func, enclosing=True) + except Exception: #TypeError, IOError + lines,lnum = [],None + code = ''.join(lines) + # get all possible names,objects that are named in the enclosing source + _locals = ((name,obj) for (name,obj) in _globals if name in code) + # now only save the objects that generate the enclosing block + for name,obj in _locals: #XXX: don't really need 'name' + try: + if getsourcelines(obj) == (lines,lnum): return obj + except Exception: #TypeError, IOError + pass + return #XXX: or raise? no matches + +def nestedcode(func, recurse=True): #XXX: or return dict of {co_name: co} ? + """get the code objects for any nested functions (e.g. in a closure)""" + func = code(func) + if not iscode(func): return [] #XXX: or raise? no matches + nested = set() + for co in func.co_consts: + if co is None: continue + co = code(co) + if co: + nested.add(co) + if recurse: nested |= set(nestedcode(co, recurse=True)) + return list(nested) + +def code(func): + """get the code object for the given function or method + + NOTE: use dill.source.getsource(CODEOBJ) to get the source code + """ + if ismethod(func): func = func.__func__ + if isfunction(func): func = func.__code__ + if istraceback(func): func = func.tb_frame + if isframe(func): func = func.f_code + if iscode(func): return func + return + +#XXX: ugly: parse dis.dis for name after " len(referrednested(func)), try calling func(). + If possible, python builds code objects, but delays building functions + until func() is called. + """ + import gc + funcs = set() + # get the code objects, and try to track down by referrence + for co in nestedcode(func, recurse): + # look for function objects that refer to the code object + for obj in gc.get_referrers(co): + # get methods + _ = getattr(obj, '__func__', None) # ismethod + if getattr(_, '__code__', None) is co: funcs.add(obj) + # get functions + elif getattr(obj, '__code__', None) is co: funcs.add(obj) + # get frame objects + elif getattr(obj, 'f_code', None) is co: funcs.add(obj) + # get code objects + elif hasattr(obj, 'co_code') and obj is co: funcs.add(obj) +# frameobjs => func.__code__.co_varnames not in func.__code__.co_cellvars +# funcobjs => func.__code__.co_cellvars not in func.__code__.co_varnames +# frameobjs are not found, however funcobjs are... +# (see: test_mixins.quad ... and test_mixins.wtf) +# after execution, code objects get compiled, and then may be found by gc + return list(funcs) + + +def freevars(func): + """get objects defined in enclosing code that are referred to by func + + returns a dict of {name:object}""" + if ismethod(func): func = func.__func__ + if isfunction(func): + closures = func.__closure__ or () + func = func.__code__.co_freevars # get freevars + else: + return {} + + def get_cell_contents(): + for name, c in zip(func, closures): + try: + cell_contents = c.cell_contents + except ValueError: # cell is empty + continue + yield name, c.cell_contents + + return dict(get_cell_contents()) + +# thanks to Davies Liu for recursion of globals +def nestedglobals(func, recurse=True): + """get the names of any globals found within func""" + func = code(func) + if func is None: return list() + import sys + from .temp import capture + CAN_NULL = sys.hexversion >= 0x30b00a7 # NULL may be prepended >= 3.11a7 + names = set() + with capture('stdout') as out: + dis.dis(func) #XXX: dis.dis(None) disassembles last traceback + for line in out.getvalue().splitlines(): + if '_GLOBAL' in line: + name = line.split('(')[-1].split(')')[0] + if CAN_NULL: + names.add(name.replace('NULL + ', '').replace(' + NULL', '')) + else: + names.add(name) + for co in getattr(func, 'co_consts', tuple()): + if co and recurse and iscode(co): + names.update(nestedglobals(co, recurse=True)) + return list(names) + +def referredglobals(func, recurse=True, builtin=False): + """get the names of objects in the global scope referred to by func""" + return globalvars(func, recurse, builtin).keys() + +def globalvars(func, recurse=True, builtin=False): + """get objects defined in global scope that are referred to by func + + return a dict of {name:object}""" + if ismethod(func): func = func.__func__ + if isfunction(func): + globs = vars(getmodule(sum)).copy() if builtin else {} + # get references from within closure + orig_func, func = func, set() + for obj in orig_func.__closure__ or {}: + try: + cell_contents = obj.cell_contents + except ValueError: # cell is empty + pass + else: + _vars = globalvars(cell_contents, recurse, builtin) or {} + func.update(_vars) #XXX: (above) be wary of infinte recursion? + globs.update(_vars) + # get globals + globs.update(orig_func.__globals__ or {}) + # get names of references + if not recurse: + func.update(orig_func.__code__.co_names) + else: + func.update(nestedglobals(orig_func.__code__)) + # find globals for all entries of func + for key in func.copy(): #XXX: unnecessary...? + nested_func = globs.get(key) + if nested_func is orig_func: + #func.remove(key) if key in func else None + continue #XXX: globalvars(func, False)? + func.update(globalvars(nested_func, True, builtin)) + elif iscode(func): + globs = vars(getmodule(sum)).copy() if builtin else {} + #globs.update(globals()) + if not recurse: + func = func.co_names # get names + else: + orig_func = func.co_name # to stop infinite recursion + func = set(nestedglobals(func)) + # find globals for all entries of func + for key in func.copy(): #XXX: unnecessary...? + if key is orig_func: + #func.remove(key) if key in func else None + continue #XXX: globalvars(func, False)? + nested_func = globs.get(key) + func.update(globalvars(nested_func, True, builtin)) + else: + return {} + #NOTE: if name not in __globals__, then we skip it... + return dict((name,globs[name]) for name in func if name in globs) + + +def varnames(func): + """get names of variables defined by func + + returns a tuple (local vars, local vars referrenced by nested functions)""" + func = code(func) + if not iscode(func): + return () #XXX: better ((),())? or None? + return func.co_varnames, func.co_cellvars + + +def baditems(obj, exact=False, safe=False): #XXX: obj=globals() ? + """get items in object that fail to pickle""" + if not hasattr(obj,'__iter__'): # is not iterable + return [j for j in (badobjects(obj,0,exact,safe),) if j is not None] + obj = obj.values() if getattr(obj,'values',None) else obj + _obj = [] # can't use a set, as items may be unhashable + [_obj.append(badobjects(i,0,exact,safe)) for i in obj if i not in _obj] + return [j for j in _obj if j is not None] + + +def badobjects(obj, depth=0, exact=False, safe=False): + """get objects that fail to pickle""" + from dill import pickles + if not depth: + if pickles(obj,exact,safe): return None + return obj + return dict(((attr, badobjects(getattr(obj,attr),depth-1,exact,safe)) \ + for attr in dir(obj) if not pickles(getattr(obj,attr),exact,safe))) + +def badtypes(obj, depth=0, exact=False, safe=False): + """get types for objects that fail to pickle""" + from dill import pickles + if not depth: + if pickles(obj,exact,safe): return None + return type(obj) + return dict(((attr, badtypes(getattr(obj,attr),depth-1,exact,safe)) \ + for attr in dir(obj) if not pickles(getattr(obj,attr),exact,safe))) + +def errors(obj, depth=0, exact=False, safe=False): + """get errors for objects that fail to pickle""" + from dill import pickles, copy + if not depth: + try: + pik = copy(obj) + if exact: + assert pik == obj, \ + "Unpickling produces %s instead of %s" % (pik,obj) + assert type(pik) == type(obj), \ + "Unpickling produces %s instead of %s" % (type(pik),type(obj)) + return None + except Exception: + import sys + return sys.exc_info()[1] + _dict = {} + for attr in dir(obj): + try: + _attr = getattr(obj,attr) + except Exception: + import sys + _dict[attr] = sys.exc_info()[1] + continue + if not pickles(_attr,exact,safe): + _dict[attr] = errors(_attr,depth-1,exact,safe) + return _dict + + +# EOF diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/logger.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/logger.py new file mode 100644 index 0000000000000000000000000000000000000000..d975e8efb53efbea714616cf8ad49c3020c9d9d3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/logger.py @@ -0,0 +1,285 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# +# Author: Leonardo Gama (@leogama) +# Copyright (c) 2022-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +Logging utilities for dill. + +The 'logger' object is dill's top-level logger. + +The 'adapter' object wraps the logger and implements a 'trace()' method that +generates a detailed tree-style trace for the pickling call at log level INFO. + +The 'trace()' function sets and resets dill's logger log level, enabling and +disabling the pickling trace. + +The trace shows a tree structure depicting the depth of each object serialized +*with dill save functions*, but not the ones that use save functions from +'pickle._Pickler.dispatch'. If the information is available, it also displays +the size in bytes that the object contributed to the pickle stream (including +its child objects). Sample trace output: + + >>> import dill, dill.tests + >>> dill.detect.trace(True) + >>> dill.dump_session(main=dill.tests) + ┬ M1: + ├┬ F2: + │└ # F2 [32 B] + ├┬ D2: + │├┬ T4: + ││└ # T4 [35 B] + │├┬ D2: + ││├┬ T4: + │││└ # T4 [50 B] + ││├┬ D2: + │││└ # D2 [84 B] + ││└ # D2 [413 B] + │└ # D2 [763 B] + └ # M1 [813 B] +""" + +__all__ = ['adapter', 'logger', 'trace'] + +import codecs +import contextlib +import locale +import logging +import math +import os +from functools import partial +from typing import TextIO, Union + +import dill + +# Tree drawing characters: Unicode to ASCII map. +ASCII_MAP = str.maketrans({"│": "|", "├": "|", "┬": "+", "└": "`"}) + +## Notes about the design choices ## + +# Here is some domumentation of the Standard Library's logging internals that +# can't be found completely in the official documentation. dill's logger is +# obtained by calling logging.getLogger('dill') and therefore is an instance of +# logging.getLoggerClass() at the call time. As this is controlled by the user, +# in order to add some functionality to it it's necessary to use a LoggerAdapter +# to wrap it, overriding some of the adapter's methods and creating new ones. +# +# Basic calling sequence +# ====================== +# +# Python's logging functionality can be conceptually divided into five steps: +# 0. Check logging level -> abort if call level is greater than logger level +# 1. Gather information -> construct a LogRecord from passed arguments and context +# 2. Filter (optional) -> discard message if the record matches a filter +# 3. Format -> format message with args, then format output string with message plus record +# 4. Handle -> write the formatted string to output as defined in the handler +# +# dill.logging.logger.log -> # or logger.info, etc. +# Logger.log -> \ +# Logger._log -> }- accept 'extra' parameter for custom record entries +# Logger.makeRecord -> / +# LogRecord.__init__ +# Logger.handle -> +# Logger.callHandlers -> +# Handler.handle -> +# Filterer.filter -> +# Filter.filter +# StreamHandler.emit -> +# Handler.format -> +# Formatter.format -> +# LogRecord.getMessage # does: record.message = msg % args +# Formatter.formatMessage -> +# PercentStyle.format # does: self._fmt % vars(record) +# +# NOTE: All methods from the second line on are from logging.__init__.py + +class TraceAdapter(logging.LoggerAdapter): + """ + Tracks object tree depth and calculates pickled object size. + + A single instance of this wraps the module's logger, as the logging API + doesn't allow setting it directly with a custom Logger subclass. The added + 'trace()' method receives a pickle instance as the first argument and + creates extra values to be added in the LogRecord from it, then calls + 'info()'. + + Usage of logger with 'trace()' method: + + >>> from dill.logger import adapter as logger #NOTE: not dill.logger.logger + >>> ... + >>> def save_atype(pickler, obj): + >>> logger.trace(pickler, "Message with %s and %r etc. placeholders", 'text', obj) + >>> ... + """ + def __init__(self, logger): + self.logger = logger + def addHandler(self, handler): + formatter = TraceFormatter("%(prefix)s%(message)s%(suffix)s", handler=handler) + handler.setFormatter(formatter) + self.logger.addHandler(handler) + def removeHandler(self, handler): + self.logger.removeHandler(handler) + def process(self, msg, kwargs): + # A no-op override, as we don't have self.extra. + return msg, kwargs + def trace_setup(self, pickler): + # Called by Pickler.dump(). + if not dill._dill.is_dill(pickler, child=False): + return + if self.isEnabledFor(logging.INFO): + pickler._trace_depth = 1 + pickler._size_stack = [] + else: + pickler._trace_depth = None + def trace(self, pickler, msg, *args, **kwargs): + if not hasattr(pickler, '_trace_depth'): + logger.info(msg, *args, **kwargs) + return + if pickler._trace_depth is None: + return + extra = kwargs.get('extra', {}) + pushed_obj = msg.startswith('#') + size = None + try: + # Streams are not required to be tellable. + size = pickler._file.tell() + frame = pickler.framer.current_frame + try: + size += frame.tell() + except AttributeError: + # PyPy may use a BytesBuilder as frame + size += len(frame) + except (AttributeError, TypeError): + pass + if size is not None: + if not pushed_obj: + pickler._size_stack.append(size) + else: + size -= pickler._size_stack.pop() + extra['size'] = size + if pushed_obj: + pickler._trace_depth -= 1 + extra['depth'] = pickler._trace_depth + kwargs['extra'] = extra + self.info(msg, *args, **kwargs) + if not pushed_obj: + pickler._trace_depth += 1 + +class TraceFormatter(logging.Formatter): + """ + Generates message prefix and suffix from record. + + This Formatter adds prefix and suffix strings to the log message in trace + mode (an also provides empty string defaults for normal logs). + """ + def __init__(self, *args, handler=None, **kwargs): + super().__init__(*args, **kwargs) + try: + encoding = handler.stream.encoding + if encoding is None: + raise AttributeError + except AttributeError: + encoding = locale.getpreferredencoding() + try: + encoding = codecs.lookup(encoding).name + except LookupError: + self.is_utf8 = False + else: + self.is_utf8 = (encoding == codecs.lookup('utf-8').name) + def format(self, record): + fields = {'prefix': "", 'suffix': ""} + if getattr(record, 'depth', 0) > 0: + if record.msg.startswith("#"): + prefix = (record.depth - 1)*"│" + "└" + elif record.depth == 1: + prefix = "┬" + else: + prefix = (record.depth - 2)*"│" + "├┬" + if not self.is_utf8: + prefix = prefix.translate(ASCII_MAP) + "-" + fields['prefix'] = prefix + " " + if hasattr(record, 'size') and record.size is not None and record.size >= 1: + # Show object size in human-readable form. + power = int(math.log(record.size, 2)) // 10 + size = record.size >> power*10 + fields['suffix'] = " [%d %sB]" % (size, "KMGTP"[power] + "i" if power else "") + vars(record).update(fields) + return super().format(record) + +logger = logging.getLogger('dill') +logger.propagate = False +adapter = TraceAdapter(logger) +stderr_handler = logging._StderrHandler() +adapter.addHandler(stderr_handler) + +def trace(arg: Union[bool, TextIO, str, os.PathLike] = None, *, mode: str = 'a') -> None: + """print a trace through the stack when pickling; useful for debugging + + With a single boolean argument, enable or disable the tracing. + + Example usage: + + >>> import dill + >>> dill.detect.trace(True) + >>> dill.dump_session() + + Alternatively, ``trace()`` can be used as a context manager. With no + arguments, it just takes care of restoring the tracing state on exit. + Either a file handle, or a file name and (optionally) a file mode may be + specitfied to redirect the tracing output in the ``with`` block context. A + log function is yielded by the manager so the user can write extra + information to the file. + + Example usage: + + >>> from dill import detect + >>> D = {'a': 42, 'b': {'x': None}} + >>> with detect.trace(): + >>> dumps(D) + ┬ D2: + ├┬ D2: + │└ # D2 [8 B] + └ # D2 [22 B] + >>> squared = lambda x: x**2 + >>> with detect.trace('output.txt', mode='w') as log: + >>> log("> D = %r", D) + >>> dumps(D) + >>> log("> squared = %r", squared) + >>> dumps(squared) + + Arguments: + arg: a boolean value, or an optional file-like or path-like object for the context manager + mode: mode string for ``open()`` if a file name is passed as the first argument + """ + if not isinstance(arg, bool): + return TraceManager(file=arg, mode=mode) + logger.setLevel(logging.INFO if arg else logging.WARNING) + +class TraceManager(contextlib.AbstractContextManager): + """context manager version of trace(); can redirect the trace to a file""" + def __init__(self, file, mode): + self.file = file + self.mode = mode + self.redirect = file is not None + self.file_is_stream = hasattr(file, 'write') + def __enter__(self): + if self.redirect: + stderr_handler.flush() + if self.file_is_stream: + self.handler = logging.StreamHandler(self.file) + else: + self.handler = logging.FileHandler(self.file, self.mode) + adapter.removeHandler(stderr_handler) + adapter.addHandler(self.handler) + self.old_level = adapter.getEffectiveLevel() + adapter.setLevel(logging.INFO) + return adapter.info + def __exit__(self, *exc_info): + adapter.setLevel(self.old_level) + if self.redirect: + adapter.removeHandler(self.handler) + adapter.addHandler(stderr_handler) + if not self.file_is_stream: + self.handler.close() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/objtypes.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/objtypes.py new file mode 100644 index 0000000000000000000000000000000000000000..526b5835ea213fe08cf81a1d389368bd95a86cc8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/objtypes.py @@ -0,0 +1,24 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +all Python Standard Library object types (currently: CH 1-15 @ 2.7) +and some other common object types (i.e. numpy.ndarray) + +to load more objects and types, use dill.load_types() +""" + +# non-local import of dill.objects +from dill import objects +for _type in objects.keys(): + exec("%s = type(objects['%s'])" % (_type,_type)) + +del objects +try: + del _type +except NameError: + pass diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/pointers.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/pointers.py new file mode 100644 index 0000000000000000000000000000000000000000..c3b48cae00b87830dc15dcd8fc047ca74aae5b66 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/pointers.py @@ -0,0 +1,122 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +__all__ = ['parent', 'reference', 'at', 'parents', 'children'] + +import gc +import sys + +from ._dill import _proxy_helper as reference +from ._dill import _locate_object as at + +def parent(obj, objtype, ignore=()): + """ +>>> listiter = iter([4,5,6,7]) +>>> obj = parent(listiter, list) +>>> obj == [4,5,6,7] # actually 'is', but don't have handle any longer +True + +NOTE: objtype can be a single type (e.g. int or list) or a tuple of types. + +WARNING: if obj is a sequence (e.g. list), may produce unexpected results. +Parent finds *one* parent (e.g. the last member of the sequence). + """ + depth = 1 #XXX: always looking for the parent (only, right?) + chain = parents(obj, objtype, depth, ignore) + parent = chain.pop() + if parent is obj: + return None + return parent + + +def parents(obj, objtype, depth=1, ignore=()): #XXX: objtype=object ? + """Find the chain of referents for obj. Chain will end with obj. + + objtype: an object type or tuple of types to search for + depth: search depth (e.g. depth=2 is 'grandparents') + ignore: an object or tuple of objects to ignore in the search + """ + edge_func = gc.get_referents # looking for refs, not back_refs + predicate = lambda x: isinstance(x, objtype) # looking for parent type + #if objtype is None: predicate = lambda x: True #XXX: in obj.mro() ? + ignore = (ignore,) if not hasattr(ignore, '__len__') else ignore + ignore = (id(obj) for obj in ignore) + chain = find_chain(obj, predicate, edge_func, depth)[::-1] + #XXX: should pop off obj... ? + return chain + + +def children(obj, objtype, depth=1, ignore=()): #XXX: objtype=object ? + """Find the chain of referrers for obj. Chain will start with obj. + + objtype: an object type or tuple of types to search for + depth: search depth (e.g. depth=2 is 'grandchildren') + ignore: an object or tuple of objects to ignore in the search + + NOTE: a common thing to ignore is all globals, 'ignore=(globals(),)' + + NOTE: repeated calls may yield different results, as python stores + the last value in the special variable '_'; thus, it is often good + to execute something to replace '_' (e.g. >>> 1+1). + """ + edge_func = gc.get_referrers # looking for back_refs, not refs + predicate = lambda x: isinstance(x, objtype) # looking for child type + #if objtype is None: predicate = lambda x: True #XXX: in obj.mro() ? + ignore = (ignore,) if not hasattr(ignore, '__len__') else ignore + ignore = (id(obj) for obj in ignore) + chain = find_chain(obj, predicate, edge_func, depth, ignore) + #XXX: should pop off obj... ? + return chain + + +# more generic helper function (cut-n-paste from objgraph) +# Source at http://mg.pov.lt/objgraph/ +# Copyright (c) 2008-2010 Marius Gedminas +# Copyright (c) 2010 Stefano Rivera +# Released under the MIT licence (see objgraph/objgrah.py) + +def find_chain(obj, predicate, edge_func, max_depth=20, extra_ignore=()): + queue = [obj] + depth = {id(obj): 0} + parent = {id(obj): None} + ignore = set(extra_ignore) + ignore.add(id(extra_ignore)) + ignore.add(id(queue)) + ignore.add(id(depth)) + ignore.add(id(parent)) + ignore.add(id(ignore)) + ignore.add(id(sys._getframe())) # this function + ignore.add(id(sys._getframe(1))) # find_chain/find_backref_chain, likely + gc.collect() + while queue: + target = queue.pop(0) + if predicate(target): + chain = [target] + while parent[id(target)] is not None: + target = parent[id(target)] + chain.append(target) + return chain + tdepth = depth[id(target)] + if tdepth < max_depth: + referrers = edge_func(target) + ignore.add(id(referrers)) + for source in referrers: + if id(source) in ignore: + continue + if id(source) not in depth: + depth[id(source)] = tdepth + 1 + parent[id(source)] = target + queue.append(source) + return [obj] # not found + + +# backward compatibility +refobject = at + + +# EOF diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/session.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/session.py new file mode 100644 index 0000000000000000000000000000000000000000..e91068afc5b77dffe9646f0167ab2af5e97523fb --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/session.py @@ -0,0 +1,613 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Author: Leonardo Gama (@leogama) +# Copyright (c) 2008-2015 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +Pickle and restore the intepreter session. +""" + +__all__ = [ + 'dump_module', 'load_module', 'load_module_asdict', + 'dump_session', 'load_session' # backward compatibility +] + +import re +import os +import sys +import warnings + +from dill import _dill, Pickler, Unpickler +from ._dill import ( + BuiltinMethodType, FunctionType, MethodType, ModuleType, TypeType, + _import_module, _is_builtin_module, _is_imported_module, _main_module, + _reverse_typemap, __builtin__, +) + +# Type hints. +from typing import Optional, Union + +import pathlib +import tempfile + +TEMPDIR = pathlib.PurePath(tempfile.gettempdir()) + +def _module_map(): + """get map of imported modules""" + from collections import defaultdict + from types import SimpleNamespace + modmap = SimpleNamespace( + by_name=defaultdict(list), + by_id=defaultdict(list), + top_level={}, + ) + for modname, module in sys.modules.items(): + if modname in ('__main__', '__mp_main__') or not isinstance(module, ModuleType): + continue + if '.' not in modname: + modmap.top_level[id(module)] = modname + for objname, modobj in module.__dict__.items(): + modmap.by_name[objname].append((modobj, modname)) + modmap.by_id[id(modobj)].append((modobj, objname, modname)) + return modmap + +IMPORTED_AS_TYPES = (ModuleType, TypeType, FunctionType, MethodType, BuiltinMethodType) +if 'PyCapsuleType' in _reverse_typemap: + IMPORTED_AS_TYPES += (_reverse_typemap['PyCapsuleType'],) +IMPORTED_AS_MODULES = ('ctypes', 'typing', 'subprocess', 'threading', + r'concurrent\.futures(\.\w+)?', r'multiprocessing(\.\w+)?') +IMPORTED_AS_MODULES = tuple(re.compile(x) for x in IMPORTED_AS_MODULES) + +def _lookup_module(modmap, name, obj, main_module): + """lookup name or id of obj if module is imported""" + for modobj, modname in modmap.by_name[name]: + if modobj is obj and sys.modules[modname] is not main_module: + return modname, name + __module__ = getattr(obj, '__module__', None) + if isinstance(obj, IMPORTED_AS_TYPES) or (__module__ is not None + and any(regex.fullmatch(__module__) for regex in IMPORTED_AS_MODULES)): + for modobj, objname, modname in modmap.by_id[id(obj)]: + if sys.modules[modname] is not main_module: + return modname, objname + return None, None + +def _stash_modules(main_module): + modmap = _module_map() + newmod = ModuleType(main_module.__name__) + + imported = [] + imported_as = [] + imported_top_level = [] # keep separated for backward compatibility + original = {} + for name, obj in main_module.__dict__.items(): + if obj is main_module: + original[name] = newmod # self-reference + elif obj is main_module.__dict__: + original[name] = newmod.__dict__ + # Avoid incorrectly matching a singleton value in another package (ex.: __doc__). + elif any(obj is singleton for singleton in (None, False, True)) \ + or isinstance(obj, ModuleType) and _is_builtin_module(obj): # always saved by ref + original[name] = obj + else: + source_module, objname = _lookup_module(modmap, name, obj, main_module) + if source_module is not None: + if objname == name: + imported.append((source_module, name)) + else: + imported_as.append((source_module, objname, name)) + else: + try: + imported_top_level.append((modmap.top_level[id(obj)], name)) + except KeyError: + original[name] = obj + + if len(original) < len(main_module.__dict__): + newmod.__dict__.update(original) + newmod.__dill_imported = imported + newmod.__dill_imported_as = imported_as + newmod.__dill_imported_top_level = imported_top_level + if getattr(newmod, '__loader__', None) is None and _is_imported_module(main_module): + # Trick _is_imported_module() to force saving as an imported module. + newmod.__loader__ = True # will be discarded by save_module() + return newmod + else: + return main_module + +def _restore_modules(unpickler, main_module): + try: + for modname, name in main_module.__dict__.pop('__dill_imported'): + main_module.__dict__[name] = unpickler.find_class(modname, name) + for modname, objname, name in main_module.__dict__.pop('__dill_imported_as'): + main_module.__dict__[name] = unpickler.find_class(modname, objname) + for modname, name in main_module.__dict__.pop('__dill_imported_top_level'): + main_module.__dict__[name] = __import__(modname) + except KeyError: + pass + +#NOTE: 06/03/15 renamed main_module to main +def dump_module( + filename: Union[str, os.PathLike] = None, + module: Optional[Union[ModuleType, str]] = None, + refimported: bool = False, + **kwds +) -> None: + """Pickle the current state of :py:mod:`__main__` or another module to a file. + + Save the contents of :py:mod:`__main__` (e.g. from an interactive + interpreter session), an imported module, or a module-type object (e.g. + built with :py:class:`~types.ModuleType`), to a file. The pickled + module can then be restored with the function :py:func:`load_module`. + + Args: + filename: a path-like object or a writable stream. If `None` + (the default), write to a named file in a temporary directory. + module: a module object or the name of an importable module. If `None` + (the default), :py:mod:`__main__` is saved. + refimported: if `True`, all objects identified as having been imported + into the module's namespace are saved by reference. *Note:* this is + similar but independent from ``dill.settings[`byref`]``, as + ``refimported`` refers to virtually all imported objects, while + ``byref`` only affects select objects. + **kwds: extra keyword arguments passed to :py:class:`Pickler()`. + + Raises: + :py:exc:`PicklingError`: if pickling fails. + + Examples: + + - Save current interpreter session state: + + >>> import dill + >>> squared = lambda x: x*x + >>> dill.dump_module() # save state of __main__ to /tmp/session.pkl + + - Save the state of an imported/importable module: + + >>> import dill + >>> import pox + >>> pox.plus_one = lambda x: x+1 + >>> dill.dump_module('pox_session.pkl', module=pox) + + - Save the state of a non-importable, module-type object: + + >>> import dill + >>> from types import ModuleType + >>> foo = ModuleType('foo') + >>> foo.values = [1,2,3] + >>> import math + >>> foo.sin = math.sin + >>> dill.dump_module('foo_session.pkl', module=foo, refimported=True) + + - Restore the state of the saved modules: + + >>> import dill + >>> dill.load_module() + >>> squared(2) + 4 + >>> pox = dill.load_module('pox_session.pkl') + >>> pox.plus_one(1) + 2 + >>> foo = dill.load_module('foo_session.pkl') + >>> [foo.sin(x) for x in foo.values] + [0.8414709848078965, 0.9092974268256817, 0.1411200080598672] + + - Use `refimported` to save imported objects by reference: + + >>> import dill + >>> from html.entities import html5 + >>> type(html5), len(html5) + (dict, 2231) + >>> import io + >>> buf = io.BytesIO() + >>> dill.dump_module(buf) # saves __main__, with html5 saved by value + >>> len(buf.getvalue()) # pickle size in bytes + 71665 + >>> buf = io.BytesIO() + >>> dill.dump_module(buf, refimported=True) # html5 saved by reference + >>> len(buf.getvalue()) + 438 + + *Changed in version 0.3.6:* Function ``dump_session()`` was renamed to + ``dump_module()``. Parameters ``main`` and ``byref`` were renamed to + ``module`` and ``refimported``, respectively. + + Note: + Currently, ``dill.settings['byref']`` and ``dill.settings['recurse']`` + don't apply to this function. + """ + for old_par, par in [('main', 'module'), ('byref', 'refimported')]: + if old_par in kwds: + message = "The argument %r has been renamed %r" % (old_par, par) + if old_par == 'byref': + message += " to distinguish it from dill.settings['byref']" + warnings.warn(message + ".", PendingDeprecationWarning) + if locals()[par]: # the defaults are None and False + raise TypeError("both %r and %r arguments were used" % (par, old_par)) + refimported = kwds.pop('byref', refimported) + module = kwds.pop('main', module) + + from .settings import settings + protocol = settings['protocol'] + main = module + if main is None: + main = _main_module + elif isinstance(main, str): + main = _import_module(main) + if not isinstance(main, ModuleType): + raise TypeError("%r is not a module" % main) + if hasattr(filename, 'write'): + file = filename + else: + if filename is None: + filename = str(TEMPDIR/'session.pkl') + file = open(filename, 'wb') + try: + pickler = Pickler(file, protocol, **kwds) + pickler._original_main = main + if refimported: + main = _stash_modules(main) + pickler._main = main #FIXME: dill.settings are disabled + pickler._byref = False # disable pickling by name reference + pickler._recurse = False # disable pickling recursion for globals + pickler._session = True # is best indicator of when pickling a session + pickler._first_pass = True + pickler._main_modified = main is not pickler._original_main + pickler.dump(main) + finally: + if file is not filename: # if newly opened file + file.close() + return + +# Backward compatibility. +def dump_session(filename=None, main=None, byref=False, **kwds): + warnings.warn("dump_session() has been renamed dump_module()", PendingDeprecationWarning) + dump_module(filename, module=main, refimported=byref, **kwds) +dump_session.__doc__ = dump_module.__doc__ + +class _PeekableReader: + """lightweight stream wrapper that implements peek()""" + def __init__(self, stream): + self.stream = stream + def read(self, n): + return self.stream.read(n) + def readline(self): + return self.stream.readline() + def tell(self): + return self.stream.tell() + def close(self): + return self.stream.close() + def peek(self, n): + stream = self.stream + try: + if hasattr(stream, 'flush'): stream.flush() + position = stream.tell() + stream.seek(position) # assert seek() works before reading + chunk = stream.read(n) + stream.seek(position) + return chunk + except (AttributeError, OSError): + raise NotImplementedError("stream is not peekable: %r", stream) from None + +def _make_peekable(stream): + """return stream as an object with a peek() method""" + import io + if hasattr(stream, 'peek'): + return stream + if not (hasattr(stream, 'tell') and hasattr(stream, 'seek')): + try: + return io.BufferedReader(stream) + except Exception: + pass + return _PeekableReader(stream) + +def _identify_module(file, main=None): + """identify the name of the module stored in the given file-type object""" + from pickletools import genops + UNICODE = {'UNICODE', 'BINUNICODE', 'SHORT_BINUNICODE'} + found_import = False + try: + for opcode, arg, pos in genops(file.peek(256)): + if not found_import: + if opcode.name in ('GLOBAL', 'SHORT_BINUNICODE') and \ + arg.endswith('_import_module'): + found_import = True + else: + if opcode.name in UNICODE: + return arg + else: + raise UnpicklingError("reached STOP without finding main module") + except (NotImplementedError, ValueError) as error: + # ValueError occours when the end of the chunk is reached (without a STOP). + if isinstance(error, NotImplementedError) and main is not None: + # file is not peekable, but we have main. + return None + raise UnpicklingError("unable to identify main module") from error + +def load_module( + filename: Union[str, os.PathLike] = None, + module: Optional[Union[ModuleType, str]] = None, + **kwds +) -> Optional[ModuleType]: + """Update the selected module (default is :py:mod:`__main__`) with + the state saved at ``filename``. + + Restore a module to the state saved with :py:func:`dump_module`. The + saved module can be :py:mod:`__main__` (e.g. an interpreter session), + an imported module, or a module-type object (e.g. created with + :py:class:`~types.ModuleType`). + + When restoring the state of a non-importable module-type object, the + current instance of this module may be passed as the argument ``main``. + Otherwise, a new instance is created with :py:class:`~types.ModuleType` + and returned. + + Args: + filename: a path-like object or a readable stream. If `None` + (the default), read from a named file in a temporary directory. + module: a module object or the name of an importable module; + the module name and kind (i.e. imported or non-imported) must + match the name and kind of the module stored at ``filename``. + **kwds: extra keyword arguments passed to :py:class:`Unpickler()`. + + Raises: + :py:exc:`UnpicklingError`: if unpickling fails. + :py:exc:`ValueError`: if the argument ``main`` and module saved + at ``filename`` are incompatible. + + Returns: + A module object, if the saved module is not :py:mod:`__main__` or + a module instance wasn't provided with the argument ``main``. + + Examples: + + - Save the state of some modules: + + >>> import dill + >>> squared = lambda x: x*x + >>> dill.dump_module() # save state of __main__ to /tmp/session.pkl + >>> + >>> import pox # an imported module + >>> pox.plus_one = lambda x: x+1 + >>> dill.dump_module('pox_session.pkl', module=pox) + >>> + >>> from types import ModuleType + >>> foo = ModuleType('foo') # a module-type object + >>> foo.values = [1,2,3] + >>> import math + >>> foo.sin = math.sin + >>> dill.dump_module('foo_session.pkl', module=foo, refimported=True) + + - Restore the state of the interpreter: + + >>> import dill + >>> dill.load_module() # updates __main__ from /tmp/session.pkl + >>> squared(2) + 4 + + - Load the saved state of an importable module: + + >>> import dill + >>> pox = dill.load_module('pox_session.pkl') + >>> pox.plus_one(1) + 2 + >>> import sys + >>> pox in sys.modules.values() + True + + - Load the saved state of a non-importable module-type object: + + >>> import dill + >>> foo = dill.load_module('foo_session.pkl') + >>> [foo.sin(x) for x in foo.values] + [0.8414709848078965, 0.9092974268256817, 0.1411200080598672] + >>> import math + >>> foo.sin is math.sin # foo.sin was saved by reference + True + >>> import sys + >>> foo in sys.modules.values() + False + + - Update the state of a non-importable module-type object: + + >>> import dill + >>> from types import ModuleType + >>> foo = ModuleType('foo') + >>> foo.values = ['a','b'] + >>> foo.sin = lambda x: x*x + >>> dill.load_module('foo_session.pkl', module=foo) + >>> [foo.sin(x) for x in foo.values] + [0.8414709848078965, 0.9092974268256817, 0.1411200080598672] + + *Changed in version 0.3.6:* Function ``load_session()`` was renamed to + ``load_module()``. Parameter ``main`` was renamed to ``module``. + + See also: + :py:func:`load_module_asdict` to load the contents of module saved + with :py:func:`dump_module` into a dictionary. + """ + if 'main' in kwds: + warnings.warn( + "The argument 'main' has been renamed 'module'.", + PendingDeprecationWarning + ) + if module is not None: + raise TypeError("both 'module' and 'main' arguments were used") + module = kwds.pop('main') + main = module + if hasattr(filename, 'read'): + file = filename + else: + if filename is None: + filename = str(TEMPDIR/'session.pkl') + file = open(filename, 'rb') + try: + file = _make_peekable(file) + #FIXME: dill.settings are disabled + unpickler = Unpickler(file, **kwds) + unpickler._session = True + + # Resolve unpickler._main + pickle_main = _identify_module(file, main) + if main is None and pickle_main is not None: + main = pickle_main + if isinstance(main, str): + if main.startswith('__runtime__.'): + # Create runtime module to load the session into. + main = ModuleType(main.partition('.')[-1]) + else: + main = _import_module(main) + if main is not None: + if not isinstance(main, ModuleType): + raise TypeError("%r is not a module" % main) + unpickler._main = main + else: + main = unpickler._main + + # Check against the pickle's main. + is_main_imported = _is_imported_module(main) + if pickle_main is not None: + is_runtime_mod = pickle_main.startswith('__runtime__.') + if is_runtime_mod: + pickle_main = pickle_main.partition('.')[-1] + error_msg = "can't update{} module{} %r with the saved state of{} module{} %r" + if is_runtime_mod and is_main_imported: + raise ValueError( + error_msg.format(" imported", "", "", "-type object") + % (main.__name__, pickle_main) + ) + if not is_runtime_mod and not is_main_imported: + raise ValueError( + error_msg.format("", "-type object", " imported", "") + % (pickle_main, main.__name__) + ) + if main.__name__ != pickle_main: + raise ValueError(error_msg.format("", "", "", "") % (main.__name__, pickle_main)) + + # This is for find_class() to be able to locate it. + if not is_main_imported: + runtime_main = '__runtime__.%s' % main.__name__ + sys.modules[runtime_main] = main + + loaded = unpickler.load() + finally: + if not hasattr(filename, 'read'): # if newly opened file + file.close() + try: + del sys.modules[runtime_main] + except (KeyError, NameError): + pass + assert loaded is main + _restore_modules(unpickler, main) + if main is _main_module or main is module: + return None + else: + return main + +# Backward compatibility. +def load_session(filename=None, main=None, **kwds): + warnings.warn("load_session() has been renamed load_module().", PendingDeprecationWarning) + load_module(filename, module=main, **kwds) +load_session.__doc__ = load_module.__doc__ + +def load_module_asdict( + filename: Union[str, os.PathLike] = None, + update: bool = False, + **kwds +) -> dict: + """ + Load the contents of a saved module into a dictionary. + + ``load_module_asdict()`` is the near-equivalent of:: + + lambda filename: vars(dill.load_module(filename)).copy() + + however, does not alter the original module. Also, the path of + the loaded module is stored in the ``__session__`` attribute. + + Args: + filename: a path-like object or a readable stream. If `None` + (the default), read from a named file in a temporary directory. + update: if `True`, initialize the dictionary with the current state + of the module prior to loading the state stored at filename. + **kwds: extra keyword arguments passed to :py:class:`Unpickler()` + + Raises: + :py:exc:`UnpicklingError`: if unpickling fails + + Returns: + A copy of the restored module's dictionary. + + Note: + If ``update`` is True, the corresponding module may first be imported + into the current namespace before the saved state is loaded from + filename to the dictionary. Note that any module that is imported into + the current namespace as a side-effect of using ``update`` will not be + modified by loading the saved module in filename to a dictionary. + + Example: + >>> import dill + >>> alist = [1, 2, 3] + >>> anum = 42 + >>> dill.dump_module() + >>> anum = 0 + >>> new_var = 'spam' + >>> main = dill.load_module_asdict() + >>> main['__name__'], main['__session__'] + ('__main__', '/tmp/session.pkl') + >>> main is globals() # loaded objects don't reference globals + False + >>> main['alist'] == alist + True + >>> main['alist'] is alist # was saved by value + False + >>> main['anum'] == anum # changed after the session was saved + False + >>> new_var in main # would be True if the option 'update' was set + False + """ + if 'module' in kwds: + raise TypeError("'module' is an invalid keyword argument for load_module_asdict()") + if hasattr(filename, 'read'): + file = filename + else: + if filename is None: + filename = str(TEMPDIR/'session.pkl') + file = open(filename, 'rb') + try: + file = _make_peekable(file) + main_name = _identify_module(file) + old_main = sys.modules.get(main_name) + main = ModuleType(main_name) + if update: + if old_main is None: + old_main = _import_module(main_name) + main.__dict__.update(old_main.__dict__) + else: + main.__builtins__ = __builtin__ + sys.modules[main_name] = main + load_module(file, **kwds) + finally: + if not hasattr(filename, 'read'): # if newly opened file + file.close() + try: + if old_main is None: + del sys.modules[main_name] + else: + sys.modules[main_name] = old_main + except NameError: # failed before setting old_main + pass + main.__session__ = str(filename) + return main.__dict__ + + +# Internal exports for backward compatibility with dill v0.3.5.1 +# Can't be placed in dill._dill because of circular import problems. +for name in ( + '_lookup_module', '_module_map', '_restore_modules', '_stash_modules', + 'dump_session', 'load_session' # backward compatibility functions +): + setattr(_dill, name, globals()[name]) +del name diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/settings.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/settings.py new file mode 100644 index 0000000000000000000000000000000000000000..19c18fc5f5159c99ef80759bde406bf15dfecc63 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/settings.py @@ -0,0 +1,25 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +global settings for Pickler +""" + +from pickle import DEFAULT_PROTOCOL + +settings = { + #'main' : None, + 'protocol' : DEFAULT_PROTOCOL, + 'byref' : False, + #'strictio' : False, + 'fmode' : 0, #HANDLE_FMODE + 'recurse' : False, + 'ignore' : False, +} + +del DEFAULT_PROTOCOL + diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/source.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/source.py new file mode 100644 index 0000000000000000000000000000000000000000..1d7bd0d3733c5a76847c4066fe56713145c8a438 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/source.py @@ -0,0 +1,1017 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +# +# inspired by inspect.py from Python-2.7.6 +# inspect.py author: 'Ka-Ping Yee ' +# inspect.py merged into original dill.source by Mike McKerns 4/13/14 +""" +Extensions to python's 'inspect' module, which can be used +to retrieve information from live python objects. The methods +defined in this module are augmented to facilitate access to +source code of interactively defined functions and classes, +as well as provide access to source code for objects defined +in a file. +""" + +__all__ = ['findsource', 'getsourcelines', 'getsource', 'indent', 'outdent', \ + '_wrap', 'dumpsource', 'getname', '_namespace', 'getimport', \ + '_importable', 'importable','isdynamic', 'isfrommain'] + +import linecache +import re +from inspect import (getblock, getfile, getmodule, getsourcefile, indentsize, + isbuiltin, isclass, iscode, isframe, isfunction, ismethod, + ismodule, istraceback) +from tokenize import TokenError + +from ._dill import IS_IPYTHON + + +def isfrommain(obj): + "check if object was built in __main__" + module = getmodule(obj) + if module and module.__name__ == '__main__': + return True + return False + + +def isdynamic(obj): + "check if object was built in the interpreter" + try: file = getfile(obj) + except TypeError: file = None + if file == '' and isfrommain(obj): + return True + return False + + +def _matchlambda(func, line): + """check if lambda object 'func' matches raw line of code 'line'""" + from .detect import code as getcode + from .detect import freevars, globalvars, varnames + dummy = lambda : '__this_is_a_big_dummy_function__' + # process the line (removing leading whitespace, etc) + lhs,rhs = line.split('lambda ',1)[-1].split(":", 1) #FIXME: if !1 inputs + try: #FIXME: unsafe + _ = eval("lambda %s : %s" % (lhs,rhs), globals(),locals()) + except Exception: _ = dummy + # get code objects, for comparison + _, code = getcode(_).co_code, getcode(func).co_code + # check if func is in closure + _f = [line.count(i) for i in freevars(func).keys()] + if not _f: # not in closure + # check if code matches + if _ == code: return True + return False + # weak check on freevars + if not all(_f): return False #XXX: VERY WEAK + # weak check on varnames and globalvars + _f = varnames(func) + _f = [line.count(i) for i in _f[0]+_f[1]] + if _f and not all(_f): return False #XXX: VERY WEAK + _f = [line.count(i) for i in globalvars(func).keys()] + if _f and not all(_f): return False #XXX: VERY WEAK + # check if func is a double lambda + if (line.count('lambda ') > 1) and (lhs in freevars(func).keys()): + _lhs,_rhs = rhs.split('lambda ',1)[-1].split(":",1) #FIXME: if !1 inputs + try: #FIXME: unsafe + _f = eval("lambda %s : %s" % (_lhs,_rhs), globals(),locals()) + except Exception: _f = dummy + # get code objects, for comparison + _, code = getcode(_f).co_code, getcode(func).co_code + if len(_) != len(code): return False + #NOTE: should be same code same order, but except for 't' and '\x88' + _ = set((i,j) for (i,j) in zip(_,code) if i != j) + if len(_) != 1: return False #('t','\x88') + return True + # check indentsize + if not indentsize(line): return False #FIXME: is this a good check??? + # check if code 'pattern' matches + #XXX: or pattern match against dis.dis(code)? (or use uncompyle2?) + _ = _.split(_[0]) # 't' #XXX: remove matching values if starts the same? + _f = code.split(code[0]) # '\x88' + #NOTE: should be same code different order, with different first element + _ = dict(re.match(r'([\W\D\S])(.*)', _[i]).groups() for i in range(1,len(_))) + _f = dict(re.match(r'([\W\D\S])(.*)', _f[i]).groups() for i in range(1,len(_f))) + if (_.keys() == _f.keys()) and (sorted(_.values()) == sorted(_f.values())): + return True + return False + + +def findsource(object): + """Return the entire source file and starting line number for an object. + For interactively-defined objects, the 'file' is the interpreter's history. + + The argument may be a module, class, method, function, traceback, frame, + or code object. The source code is returned as a list of all the lines + in the file and the line number indexes a line in that list. An IOError + is raised if the source code cannot be retrieved, while a TypeError is + raised for objects where the source code is unavailable (e.g. builtins).""" + + module = getmodule(object) + try: file = getfile(module) + except TypeError: file = None + is_module_main = (module and module.__name__ == '__main__' and not file) + if IS_IPYTHON and is_module_main: + #FIXME: quick fix for functions and classes in IPython interpreter + try: + file = getfile(object) + sourcefile = getsourcefile(object) + except TypeError: + if isclass(object): + for object_method in filter(isfunction, object.__dict__.values()): + # look for a method of the class + file_candidate = getfile(object_method) + if not file_candidate.startswith('': pat1 = r'(.*(?': + pat1 = r'(.*(?' + if stdin: + lnum = len(lines) - 1 # can't get lnum easily, so leverage pat + if not pat1: pat1 = r'^(\s*def\s)|(.*(? 0: #XXX: won't find decorators in ? + line = lines[lnum] + if pat1.match(line): + if not stdin: break # co_firstlineno does the job + if name == '': # hackery needed to confirm a match + if _matchlambda(obj, line): break + else: # not a lambda, just look for the name + if name in line: # need to check for decorator... + hats = 0 + for _lnum in range(lnum-1,-1,-1): + if pat2.match(lines[_lnum]): hats += 1 + else: break + lnum = lnum - hats + break + lnum = lnum - 1 + return lines, lnum + + try: # turn instances into classes + if not isclass(object) and isclass(type(object)): # __class__ + object = object.__class__ #XXX: sometimes type(class) is better? + #XXX: we don't find how the instance was built + except AttributeError: pass + if isclass(object): + name = object.__name__ + pat = re.compile(r'^(\s*)class\s*' + name + r'\b') + # make some effort to find the best matching class definition: + # use the one with the least indentation, which is the one + # that's most probably not inside a function definition. + candidates = [] + for i in range(len(lines)-1,-1,-1): + match = pat.match(lines[i]) + if match: + # if it's at toplevel, it's already the best one + if lines[i][0] == 'c': + return lines, i + # else add whitespace to candidate list + candidates.append((match.group(1), i)) + if candidates: + # this will sort by whitespace, and by line number, + # less whitespace first #XXX: should sort high lnum before low + candidates.sort() + return lines, candidates[0][1] + else: + raise IOError('could not find class definition') + raise IOError('could not find code object') + + +def getblocks(object, lstrip=False, enclosing=False, locate=False): + """Return a list of source lines and starting line number for an object. + Interactively-defined objects refer to lines in the interpreter's history. + + If enclosing=True, then also return any enclosing code. + If lstrip=True, ensure there is no indentation in the first line of code. + If locate=True, then also return the line number for the block of code. + + DEPRECATED: use 'getsourcelines' instead + """ + lines, lnum = findsource(object) + + if ismodule(object): + if lstrip: lines = _outdent(lines) + return ([lines], [0]) if locate is True else [lines] + + #XXX: 'enclosing' means: closures only? or classes and files? + indent = indentsize(lines[lnum]) + block = getblock(lines[lnum:]) #XXX: catch any TokenError here? + + if not enclosing or not indent: + if lstrip: block = _outdent(block) + return ([block], [lnum]) if locate is True else [block] + + pat1 = r'^(\s*def\s)|(.*(? indent: #XXX: should be >= ? + line += len(code) - skip + elif target in ''.join(code): + blocks.append(code) # save code block as the potential winner + _lnum.append(line - skip) # save the line number for the match + line += len(code) - skip + else: + line += 1 + skip = 0 + # find skip: the number of consecutive decorators + elif pat2.match(lines[line]): + try: code = getblock(lines[line:]) + except TokenError: code = [lines[line]] + skip = 1 + for _line in code[1:]: # skip lines that are decorators + if not pat2.match(_line): break + skip += 1 + line += skip + # no match: reset skip and go to the next line + else: + line +=1 + skip = 0 + + if not blocks: + blocks = [block] + _lnum = [lnum] + if lstrip: blocks = [_outdent(block) for block in blocks] + # return last match + return (blocks, _lnum) if locate is True else blocks + + +def getsourcelines(object, lstrip=False, enclosing=False): + """Return a list of source lines and starting line number for an object. + Interactively-defined objects refer to lines in the interpreter's history. + + The argument may be a module, class, method, function, traceback, frame, + or code object. The source code is returned as a list of the lines + corresponding to the object and the line number indicates where in the + original source file the first line of code was found. An IOError is + raised if the source code cannot be retrieved, while a TypeError is + raised for objects where the source code is unavailable (e.g. builtins). + + If lstrip=True, ensure there is no indentation in the first line of code. + If enclosing=True, then also return any enclosing code.""" + code, n = getblocks(object, lstrip=lstrip, enclosing=enclosing, locate=True) + return code[-1], n[-1] + + +#NOTE: broke backward compatibility 4/16/14 (was lstrip=True, force=True) +def getsource(object, alias='', lstrip=False, enclosing=False, \ + force=False, builtin=False): + """Return the text of the source code for an object. The source code for + interactively-defined objects are extracted from the interpreter's history. + + The argument may be a module, class, method, function, traceback, frame, + or code object. The source code is returned as a single string. An + IOError is raised if the source code cannot be retrieved, while a + TypeError is raised for objects where the source code is unavailable + (e.g. builtins). + + If alias is provided, then add a line of code that renames the object. + If lstrip=True, ensure there is no indentation in the first line of code. + If enclosing=True, then also return any enclosing code. + If force=True, catch (TypeError,IOError) and try to use import hooks. + If builtin=True, force an import for any builtins + """ + # hascode denotes a callable + hascode = _hascode(object) + # is a class instance type (and not in builtins) + instance = _isinstance(object) + + # get source lines; if fail, try to 'force' an import + try: # fails for builtins, and other assorted object types + lines, lnum = getsourcelines(object, enclosing=enclosing) + except (TypeError, IOError): # failed to get source, resort to import hooks + if not force: # don't try to get types that findsource can't get + raise + if not getmodule(object): # get things like 'None' and '1' + if not instance: return getimport(object, alias, builtin=builtin) + # special handling (numpy arrays, ...) + _import = getimport(object, builtin=builtin) + name = getname(object, force=True) + _alias = "%s = " % alias if alias else "" + if alias == name: _alias = "" + return _import+_alias+"%s\n" % name + else: #FIXME: could use a good bit of cleanup, since using getimport... + if not instance: return getimport(object, alias, builtin=builtin) + # now we are dealing with an instance... + name = object.__class__.__name__ + module = object.__module__ + if module in ['builtins','__builtin__']: + return getimport(object, alias, builtin=builtin) + else: #FIXME: leverage getimport? use 'from module import name'? + lines, lnum = ["%s = __import__('%s', fromlist=['%s']).%s\n" % (name,module,name,name)], 0 + obj = eval(lines[0].lstrip(name + ' = ')) + lines, lnum = getsourcelines(obj, enclosing=enclosing) + + # strip leading indent (helps ensure can be imported) + if lstrip or alias: + lines = _outdent(lines) + + # instantiate, if there's a nice repr #XXX: BAD IDEA??? + if instance: #and force: #XXX: move into findsource or getsourcelines ? + if '(' in repr(object): lines.append('%r\n' % object) + #else: #XXX: better to somehow to leverage __reduce__ ? + # reconstructor,args = object.__reduce__() + # _ = reconstructor(*args) + else: # fall back to serialization #XXX: bad idea? + #XXX: better not duplicate work? #XXX: better new/enclose=True? + lines = dumpsource(object, alias='', new=force, enclose=False) + lines, lnum = [line+'\n' for line in lines.split('\n')][:-1], 0 + #else: object.__code__ # raise AttributeError + + # add an alias to the source code + if alias: + if hascode: + skip = 0 + for line in lines: # skip lines that are decorators + if not line.startswith('@'): break + skip += 1 + #XXX: use regex from findsource / getsourcelines ? + if lines[skip].lstrip().startswith('def '): # we have a function + if alias != object.__name__: + lines.append('\n%s = %s\n' % (alias, object.__name__)) + elif 'lambda ' in lines[skip]: # we have a lambda + if alias != lines[skip].split('=')[0].strip(): + lines[skip] = '%s = %s' % (alias, lines[skip]) + else: # ...try to use the object's name + if alias != object.__name__: + lines.append('\n%s = %s\n' % (alias, object.__name__)) + else: # class or class instance + if instance: + if alias != lines[-1].split('=')[0].strip(): + lines[-1] = ('%s = ' % alias) + lines[-1] + else: + name = getname(object, force=True) or object.__name__ + if alias != name: + lines.append('\n%s = %s\n' % (alias, name)) + return ''.join(lines) + + +def _hascode(object): + '''True if object has an attribute that stores it's __code__''' + return getattr(object,'__code__',None) or getattr(object,'func_code',None) + +def _isinstance(object): + '''True if object is a class instance type (and is not a builtin)''' + if _hascode(object) or isclass(object) or ismodule(object): + return False + if istraceback(object) or isframe(object) or iscode(object): + return False + # special handling (numpy arrays, ...) + if not getmodule(object) and getmodule(type(object)).__name__ in ['numpy']: + return True +# # check if is instance of a builtin +# if not getmodule(object) and getmodule(type(object)).__name__ in ['__builtin__','builtins']: +# return False + _types = ('") + if not repr(type(object)).startswith(_types): #FIXME: weak hack + return False + if not getmodule(object) or object.__module__ in ['builtins','__builtin__'] or getname(object, force=True) in ['array']: + return False + return True # by process of elimination... it's what we want + + +def _intypes(object): + '''check if object is in the 'types' module''' + import types + # allow user to pass in object or object.__name__ + if type(object) is not type(''): + object = getname(object, force=True) + if object == 'ellipsis': object = 'EllipsisType' + return True if hasattr(types, object) else False + + +def _isstring(object): #XXX: isstringlike better? + '''check if object is a string-like type''' + return isinstance(object, (str, bytes)) + + +def indent(code, spaces=4): + '''indent a block of code with whitespace (default is 4 spaces)''' + indent = indentsize(code) + if type(spaces) is int: spaces = ' '*spaces + # if '\t' is provided, will indent with a tab + nspaces = indentsize(spaces) + # blank lines (etc) need to be ignored + lines = code.split('\n') +## stq = "'''"; dtq = '"""' +## in_stq = in_dtq = False + for i in range(len(lines)): + #FIXME: works... but shouldn't indent 2nd+ lines of multiline doc + _indent = indentsize(lines[i]) + if indent > _indent: continue + lines[i] = spaces+lines[i] +## #FIXME: may fail when stq and dtq in same line (depends on ordering) +## nstq, ndtq = lines[i].count(stq), lines[i].count(dtq) +## if not in_dtq and not in_stq: +## lines[i] = spaces+lines[i] # we indent +## # entering a comment block +## if nstq%2: in_stq = not in_stq +## if ndtq%2: in_dtq = not in_dtq +## # leaving a comment block +## elif in_dtq and ndtq%2: in_dtq = not in_dtq +## elif in_stq and nstq%2: in_stq = not in_stq +## else: pass + if lines[-1].strip() == '': lines[-1] = '' + return '\n'.join(lines) + + +def _outdent(lines, spaces=None, all=True): + '''outdent lines of code, accounting for docs and line continuations''' + indent = indentsize(lines[0]) + if spaces is None or spaces > indent or spaces < 0: spaces = indent + for i in range(len(lines) if all else 1): + #FIXME: works... but shouldn't outdent 2nd+ lines of multiline doc + _indent = indentsize(lines[i]) + if spaces > _indent: _spaces = _indent + else: _spaces = spaces + lines[i] = lines[i][_spaces:] + return lines + +def outdent(code, spaces=None, all=True): + '''outdent a block of code (default is to strip all leading whitespace)''' + indent = indentsize(code) + if spaces is None or spaces > indent or spaces < 0: spaces = indent + #XXX: will this delete '\n' in some cases? + if not all: return code[spaces:] + return '\n'.join(_outdent(code.split('\n'), spaces=spaces, all=all)) + + +#XXX: not sure what the point of _wrap is... +__globals__ = globals() +__locals__ = locals() +def _wrap(f): + """ encapsulate a function and it's __import__ """ + def func(*args, **kwds): + try: + # _ = eval(getsource(f, force=True)) #XXX: safer but less robust + exec(getimportable(f, alias='_'), __globals__, __locals__) + except Exception: + raise ImportError('cannot import name ' + f.__name__) + return _(*args, **kwds) + func.__name__ = f.__name__ + func.__doc__ = f.__doc__ + return func + + +def _enclose(object, alias=''): #FIXME: needs alias to hold returned object + """create a function enclosure around the source of some object""" + #XXX: dummy and stub should append a random string + dummy = '__this_is_a_big_dummy_enclosing_function__' + stub = '__this_is_a_stub_variable__' + code = 'def %s():\n' % dummy + code += indent(getsource(object, alias=stub, lstrip=True, force=True)) + code += indent('return %s\n' % stub) + if alias: code += '%s = ' % alias + code += '%s(); del %s\n' % (dummy, dummy) + #code += "globals().pop('%s',lambda :None)()\n" % dummy + return code + + +def dumpsource(object, alias='', new=False, enclose=True): + """'dump to source', where the code includes a pickled object. + + If new=True and object is a class instance, then create a new + instance using the unpacked class source code. If enclose, then + create the object inside a function enclosure (thus minimizing + any global namespace pollution). + """ + from dill import dumps + pik = repr(dumps(object)) + code = 'import dill\n' + if enclose: + stub = '__this_is_a_stub_variable__' #XXX: *must* be same _enclose.stub + pre = '%s = ' % stub + new = False #FIXME: new=True doesn't work with enclose=True + else: + stub = alias + pre = '%s = ' % stub if alias else alias + + # if a 'new' instance is not needed, then just dump and load + if not new or not _isinstance(object): + code += pre + 'dill.loads(%s)\n' % pik + else: #XXX: other cases where source code is needed??? + code += getsource(object.__class__, alias='', lstrip=True, force=True) + mod = repr(object.__module__) # should have a module (no builtins here) + code += pre + 'dill.loads(%s.replace(b%s,bytes(__name__,"UTF-8")))\n' % (pik,mod) + #code += 'del %s' % object.__class__.__name__ #NOTE: kills any existing! + + if enclose: + # generation of the 'enclosure' + dummy = '__this_is_a_big_dummy_object__' + dummy = _enclose(dummy, alias=alias) + # hack to replace the 'dummy' with the 'real' code + dummy = dummy.split('\n') + code = dummy[0]+'\n' + indent(code) + '\n'.join(dummy[-3:]) + + return code #XXX: better 'dumpsourcelines', returning list of lines? + + +def getname(obj, force=False, fqn=False): #XXX: throw(?) to raise error on fail? + """get the name of the object. for lambdas, get the name of the pointer """ + if fqn: return '.'.join(_namespace(obj)) + module = getmodule(obj) + if not module: # things like "None" and "1" + if not force: return None + return repr(obj) + try: + #XXX: 'wrong' for decorators and curried functions ? + # if obj.func_closure: ...use logic from getimportable, etc ? + name = obj.__name__ + if name == '': + return getsource(obj).split('=',1)[0].strip() + # handle some special cases + if module.__name__ in ['builtins','__builtin__']: + if name == 'ellipsis': name = 'EllipsisType' + return name + except AttributeError: #XXX: better to just throw AttributeError ? + if not force: return None + name = repr(obj) + if name.startswith('<'): # or name.split('('): + return None + return name + + +def _namespace(obj): + """_namespace(obj); return namespace hierarchy (as a list of names) + for the given object. For an instance, find the class hierarchy. + + For example: + + >>> from functools import partial + >>> p = partial(int, base=2) + >>> _namespace(p) + [\'functools\', \'partial\'] + """ + # mostly for functions and modules and such + #FIXME: 'wrong' for decorators and curried functions + try: #XXX: needs some work and testing on different types + module = qual = str(getmodule(obj)).split()[1].strip('>').strip('"').strip("'") + qual = qual.split('.') + if ismodule(obj): + return qual + # get name of a lambda, function, etc + name = getname(obj) or obj.__name__ # failing, raise AttributeError + # check special cases (NoneType, ...) + if module in ['builtins','__builtin__']: # BuiltinFunctionType + if _intypes(name): return ['types'] + [name] + return qual + [name] #XXX: can be wrong for some aliased objects + except Exception: pass + # special case: numpy.inf and numpy.nan (we don't want them as floats) + if str(obj) in ['inf','nan','Inf','NaN']: # is more, but are they needed? + return ['numpy'] + [str(obj)] + # mostly for classes and class instances and such + module = getattr(obj.__class__, '__module__', None) + qual = str(obj.__class__) + try: qual = qual[qual.index("'")+1:-2] + except ValueError: pass # str(obj.__class__) made the 'try' unnecessary + qual = qual.split(".") + if module in ['builtins','__builtin__']: + # check special cases (NoneType, Ellipsis, ...) + if qual[-1] == 'ellipsis': qual[-1] = 'EllipsisType' + if _intypes(qual[-1]): module = 'types' #XXX: BuiltinFunctionType + qual = [module] + qual + return qual + + +#NOTE: 05/25/14 broke backward compatibility: added 'alias' as 3rd argument +def _getimport(head, tail, alias='', verify=True, builtin=False): + """helper to build a likely import string from head and tail of namespace. + ('head','tail') are used in the following context: "from head import tail" + + If verify=True, then test the import string before returning it. + If builtin=True, then force an import for builtins where possible. + If alias is provided, then rename the object on import. + """ + # special handling for a few common types + if tail in ['Ellipsis', 'NotImplemented'] and head in ['types']: + head = len.__module__ + elif tail in ['None'] and head in ['types']: + _alias = '%s = ' % alias if alias else '' + if alias == tail: _alias = '' + return _alias+'%s\n' % tail + # we don't need to import from builtins, so return '' +# elif tail in ['NoneType','int','float','long','complex']: return '' #XXX: ? + if head in ['builtins','__builtin__']: + # special cases (NoneType, Ellipsis, ...) #XXX: BuiltinFunctionType + if tail == 'ellipsis': tail = 'EllipsisType' + if _intypes(tail): head = 'types' + elif not builtin: + _alias = '%s = ' % alias if alias else '' + if alias == tail: _alias = '' + return _alias+'%s\n' % tail + else: pass # handle builtins below + # get likely import string + if not head: _str = "import %s" % tail + else: _str = "from %s import %s" % (head, tail) + _alias = " as %s\n" % alias if alias else "\n" + if alias == tail: _alias = "\n" + _str += _alias + # FIXME: fails on most decorators, currying, and such... + # (could look for magic __wrapped__ or __func__ attr) + # (could fix in 'namespace' to check obj for closure) + if verify and not head.startswith('dill.'):# weird behavior for dill + #print(_str) + try: exec(_str) #XXX: check if == obj? (name collision) + except ImportError: #XXX: better top-down or bottom-up recursion? + _head = head.rsplit(".",1)[0] #(or get all, then compare == obj?) + if not _head: raise + if _head != head: + _str = _getimport(_head, tail, alias, verify) + return _str + + +#XXX: rename builtin to force? vice versa? verify to force? (as in getsource) +#NOTE: 05/25/14 broke backward compatibility: added 'alias' as 2nd argument +def getimport(obj, alias='', verify=True, builtin=False, enclosing=False): + """get the likely import string for the given object + + obj is the object to inspect + If verify=True, then test the import string before returning it. + If builtin=True, then force an import for builtins where possible. + If enclosing=True, get the import for the outermost enclosing callable. + If alias is provided, then rename the object on import. + """ + if enclosing: + from .detect import outermost + _obj = outermost(obj) + obj = _obj if _obj else obj + # get the namespace + qual = _namespace(obj) + head = '.'.join(qual[:-1]) + tail = qual[-1] + # for named things... with a nice repr #XXX: move into _namespace? + try: # look for '<...>' and be mindful it might be in lists, dicts, etc... + name = repr(obj).split('<',1)[1].split('>',1)[1] + name = None # we have a 'object'-style repr + except Exception: # it's probably something 'importable' + if head in ['builtins','__builtin__']: + name = repr(obj) #XXX: catch [1,2], (1,2), set([1,2])... others? + else: + name = repr(obj).split('(')[0] + #if not repr(obj).startswith('<'): name = repr(obj).split('(')[0] + #else: name = None + if name: # try using name instead of tail + try: return _getimport(head, name, alias, verify, builtin) + except ImportError: pass + except SyntaxError: + if head in ['builtins','__builtin__']: + _alias = '%s = ' % alias if alias else '' + if alias == name: _alias = '' + return _alias+'%s\n' % name + else: pass + try: + #if type(obj) is type(abs): _builtin = builtin # BuiltinFunctionType + #else: _builtin = False + return _getimport(head, tail, alias, verify, builtin) + except ImportError: + raise # could do some checking against obj + except SyntaxError: + if head in ['builtins','__builtin__']: + _alias = '%s = ' % alias if alias else '' + if alias == tail: _alias = '' + return _alias+'%s\n' % tail + raise # could do some checking against obj + + +def _importable(obj, alias='', source=None, enclosing=False, force=True, \ + builtin=True, lstrip=True): + """get an import string (or the source code) for the given object + + This function will attempt to discover the name of the object, or the repr + of the object, or the source code for the object. To attempt to force + discovery of the source code, use source=True, to attempt to force the + use of an import, use source=False; otherwise an import will be sought + for objects not defined in __main__. The intent is to build a string + that can be imported from a python file. obj is the object to inspect. + If alias is provided, then rename the object with the given alias. + + If source=True, use these options: + If enclosing=True, then also return any enclosing code. + If force=True, catch (TypeError,IOError) and try to use import hooks. + If lstrip=True, ensure there is no indentation in the first line of code. + + If source=False, use these options: + If enclosing=True, get the import for the outermost enclosing callable. + If force=True, then don't test the import string before returning it. + If builtin=True, then force an import for builtins where possible. + """ + if source is None: + source = True if isfrommain(obj) else False + if source: # first try to get the source + try: + return getsource(obj, alias, enclosing=enclosing, \ + force=force, lstrip=lstrip, builtin=builtin) + except Exception: pass + try: + if not _isinstance(obj): + return getimport(obj, alias, enclosing=enclosing, \ + verify=(not force), builtin=builtin) + # first 'get the import', then 'get the instance' + _import = getimport(obj, enclosing=enclosing, \ + verify=(not force), builtin=builtin) + name = getname(obj, force=True) + if not name: + raise AttributeError("object has no atribute '__name__'") + _alias = "%s = " % alias if alias else "" + if alias == name: _alias = "" + return _import+_alias+"%s\n" % name + + except Exception: pass + if not source: # try getsource, only if it hasn't been tried yet + try: + return getsource(obj, alias, enclosing=enclosing, \ + force=force, lstrip=lstrip, builtin=builtin) + except Exception: pass + # get the name (of functions, lambdas, and classes) + # or hope that obj can be built from the __repr__ + #XXX: what to do about class instances and such? + obj = getname(obj, force=force) + # we either have __repr__ or __name__ (or None) + if not obj or obj.startswith('<'): + raise AttributeError("object has no atribute '__name__'") + _alias = '%s = ' % alias if alias else '' + if alias == obj: _alias = '' + return _alias+'%s\n' % obj + #XXX: possible failsafe... (for example, for instances when source=False) + # "import dill; result = dill.loads(); # repr()" + +def _closuredimport(func, alias='', builtin=False): + """get import for closured objects; return a dict of 'name' and 'import'""" + import re + from .detect import freevars, outermost + free_vars = freevars(func) + func_vars = {} + # split into 'funcs' and 'non-funcs' + for name,obj in list(free_vars.items()): + if not isfunction(obj): continue + # get import for 'funcs' + fobj = free_vars.pop(name) + src = getsource(fobj) + if src.lstrip().startswith('@'): # we have a decorator + src = getimport(fobj, alias=alias, builtin=builtin) + else: # we have to "hack" a bit... and maybe be lucky + encl = outermost(func) + # pattern: 'func = enclosing(fobj' + pat = r'.*[\w\s]=\s*'+getname(encl)+r'\('+getname(fobj) + mod = getname(getmodule(encl)) + #HACK: get file containing 'outer' function; is func there? + lines,_ = findsource(encl) + candidate = [line for line in lines if getname(encl) in line and \ + re.match(pat, line)] + if not candidate: + mod = getname(getmodule(fobj)) + #HACK: get file containing 'inner' function; is func there? + lines,_ = findsource(fobj) + candidate = [line for line in lines \ + if getname(fobj) in line and re.match(pat, line)] + if not len(candidate): raise TypeError('import could not be found') + candidate = candidate[-1] + name = candidate.split('=',1)[0].split()[-1].strip() + src = _getimport(mod, name, alias=alias, builtin=builtin) + func_vars[name] = src + if not func_vars: + name = outermost(func) + mod = getname(getmodule(name)) + if not mod or name is func: # then it can be handled by getimport + name = getname(func, force=True) #XXX: better key? + src = getimport(func, alias=alias, builtin=builtin) + else: + lines,_ = findsource(name) + # pattern: 'func = enclosing(' + candidate = [line for line in lines if getname(name) in line and \ + re.match(r'.*[\w\s]=\s*'+getname(name)+r'\(', line)] + if not len(candidate): raise TypeError('import could not be found') + candidate = candidate[-1] + name = candidate.split('=',1)[0].split()[-1].strip() + src = _getimport(mod, name, alias=alias, builtin=builtin) + func_vars[name] = src + return func_vars + +#XXX: should be able to use __qualname__ +def _closuredsource(func, alias=''): + """get source code for closured objects; return a dict of 'name' + and 'code blocks'""" + #FIXME: this entire function is a messy messy HACK + # - pollutes global namespace + # - fails if name of freevars are reused + # - can unnecessarily duplicate function code + from .detect import freevars + free_vars = freevars(func) + func_vars = {} + # split into 'funcs' and 'non-funcs' + for name,obj in list(free_vars.items()): + if not isfunction(obj): + # get source for 'non-funcs' + free_vars[name] = getsource(obj, force=True, alias=name) + continue + # get source for 'funcs' + fobj = free_vars.pop(name) + src = getsource(fobj, alias) # DO NOT include dependencies + # if source doesn't start with '@', use name as the alias + if not src.lstrip().startswith('@'): #FIXME: 'enclose' in dummy; + src = importable(fobj,alias=name)# wrong ref 'name' + org = getsource(func, alias, enclosing=False, lstrip=True) + src = (src, org) # undecorated first, then target + else: #NOTE: reproduces the code! + org = getsource(func, enclosing=True, lstrip=False) + src = importable(fobj, alias, source=True) # include dependencies + src = (org, src) # target first, then decorated + func_vars[name] = src + src = ''.join(free_vars.values()) + if not func_vars: #FIXME: 'enclose' in dummy; wrong ref 'name' + org = getsource(func, alias, force=True, enclosing=False, lstrip=True) + src = (src, org) # variables first, then target + else: + src = (src, None) # just variables (better '' instead of None?) + func_vars[None] = src + # FIXME: remove duplicates (however, order is important...) + return func_vars + +def importable(obj, alias='', source=None, builtin=True): + """get an importable string (i.e. source code or the import string) + for the given object, including any required objects from the enclosing + and global scope + + This function will attempt to discover the name of the object, or the repr + of the object, or the source code for the object. To attempt to force + discovery of the source code, use source=True, to attempt to force the + use of an import, use source=False; otherwise an import will be sought + for objects not defined in __main__. The intent is to build a string + that can be imported from a python file. + + obj is the object to inspect. If alias is provided, then rename the + object with the given alias. If builtin=True, then force an import for + builtins where possible. + """ + #NOTE: we always 'force', and 'lstrip' as necessary + #NOTE: for 'enclosing', use importable(outermost(obj)) + if source is None: + source = True if isfrommain(obj) else False + elif builtin and isbuiltin(obj): + source = False + tried_source = tried_import = False + while True: + if not source: # we want an import + try: + if _isinstance(obj): # for instances, punt to _importable + return _importable(obj, alias, source=False, builtin=builtin) + src = _closuredimport(obj, alias=alias, builtin=builtin) + if len(src) == 0: + raise NotImplementedError('not implemented') + if len(src) > 1: + raise NotImplementedError('not implemented') + return list(src.values())[0] + except Exception: + if tried_source: raise + tried_import = True + # we want the source + try: + src = _closuredsource(obj, alias=alias) + if len(src) == 0: + raise NotImplementedError('not implemented') + # groan... an inline code stitcher + def _code_stitcher(block): + "stitch together the strings in tuple 'block'" + if block[0] and block[-1]: block = '\n'.join(block) + elif block[0]: block = block[0] + elif block[-1]: block = block[-1] + else: block = '' + return block + # get free_vars first + _src = _code_stitcher(src.pop(None)) + _src = [_src] if _src else [] + # get func_vars + for xxx in src.values(): + xxx = _code_stitcher(xxx) + if xxx: _src.append(xxx) + # make a single source string + if not len(_src): + src = '' + elif len(_src) == 1: + src = _src[0] + else: + src = '\n'.join(_src) + # get source code of objects referred to by obj in global scope + from .detect import globalvars + obj = globalvars(obj) #XXX: don't worry about alias? recurse? etc? + obj = list(getsource(_obj,name,force=True) for (name,_obj) in obj.items() if not isbuiltin(_obj)) + obj = '\n'.join(obj) if obj else '' + # combine all referred-to source (global then enclosing) + if not obj: return src + if not src: return obj + return obj + src + except Exception: + if tried_import: raise + tried_source = True + source = not source + # should never get here + return + + +# backward compatibility +def getimportable(obj, alias='', byname=True, explicit=False): + return importable(obj,alias,source=(not byname),builtin=explicit) + #return outdent(_importable(obj,alias,source=(not byname),builtin=explicit)) +def likely_import(obj, passive=False, explicit=False): + return getimport(obj, verify=(not passive), builtin=explicit) +def _likely_import(first, last, passive=False, explicit=True): + return _getimport(first, last, verify=(not passive), builtin=explicit) +_get_name = getname +getblocks_from_history = getblocks + + + +# EOF diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/temp.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/temp.py new file mode 100644 index 0000000000000000000000000000000000000000..c4d7165e1d5867bcf1d3cc6191435583b61672ed --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/temp.py @@ -0,0 +1,252 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +Methods for serialized objects (or source code) stored in temporary files +and file-like objects. +""" +#XXX: better instead to have functions write to any given file-like object ? +#XXX: currently, all file-like objects are created by the function... + +__all__ = ['dump_source', 'dump', 'dumpIO_source', 'dumpIO',\ + 'load_source', 'load', 'loadIO_source', 'loadIO',\ + 'capture'] + +import contextlib + + +@contextlib.contextmanager +def capture(stream='stdout'): + """builds a context that temporarily replaces the given stream name + + >>> with capture('stdout') as out: + ... print ("foo!") + ... + >>> print (out.getvalue()) + foo! + + """ + import sys + from io import StringIO + orig = getattr(sys, stream) + setattr(sys, stream, StringIO()) + try: + yield getattr(sys, stream) + finally: + setattr(sys, stream, orig) + + +def b(x): # deal with b'foo' versus 'foo' + import codecs + return codecs.latin_1_encode(x)[0] + +def load_source(file, **kwds): + """load an object that was stored with dill.temp.dump_source + + file: filehandle + alias: string name of stored object + mode: mode to open the file, one of: {'r', 'rb'} + + >>> f = lambda x: x**2 + >>> pyfile = dill.temp.dump_source(f, alias='_f') + >>> _f = dill.temp.load_source(pyfile) + >>> _f(4) + 16 + """ + alias = kwds.pop('alias', None) + mode = kwds.pop('mode', 'r') + fname = getattr(file, 'name', file) # fname=file.name or fname=file (if str) + source = open(fname, mode=mode, **kwds).read() + if not alias: + tag = source.strip().splitlines()[-1].split() + if tag[0] != '#NAME:': + stub = source.splitlines()[0] + raise IOError("unknown name for code: %s" % stub) + alias = tag[-1] + local = {} + exec(source, local) + _ = eval("%s" % alias, local) + return _ + +def dump_source(object, **kwds): + """write object source to a NamedTemporaryFile (instead of dill.dump) +Loads with "import" or "dill.temp.load_source". Returns the filehandle. + + >>> f = lambda x: x**2 + >>> pyfile = dill.temp.dump_source(f, alias='_f') + >>> _f = dill.temp.load_source(pyfile) + >>> _f(4) + 16 + + >>> f = lambda x: x**2 + >>> pyfile = dill.temp.dump_source(f, dir='.') + >>> modulename = os.path.basename(pyfile.name).split('.py')[0] + >>> exec('from %s import f as _f' % modulename) + >>> _f(4) + 16 + +Optional kwds: + If 'alias' is specified, the object will be renamed to the given string. + + If 'prefix' is specified, the file name will begin with that prefix, + otherwise a default prefix is used. + + If 'dir' is specified, the file will be created in that directory, + otherwise a default directory is used. + + If 'text' is specified and true, the file is opened in text + mode. Else (the default) the file is opened in binary mode. On + some operating systems, this makes no difference. + +NOTE: Keep the return value for as long as you want your file to exist ! + """ #XXX: write a "load_source"? + from .source import importable, getname + import tempfile + kwds.setdefault('delete', True) + kwds.pop('suffix', '') # this is *always* '.py' + alias = kwds.pop('alias', '') #XXX: include an alias so a name is known + name = str(alias) or getname(object) + name = "\n#NAME: %s\n" % name + #XXX: assumes kwds['dir'] is writable and on $PYTHONPATH + file = tempfile.NamedTemporaryFile(suffix='.py', **kwds) + file.write(b(''.join([importable(object, alias=alias),name]))) + file.flush() + return file + +def load(file, **kwds): + """load an object that was stored with dill.temp.dump + + file: filehandle + mode: mode to open the file, one of: {'r', 'rb'} + + >>> dumpfile = dill.temp.dump([1, 2, 3, 4, 5]) + >>> dill.temp.load(dumpfile) + [1, 2, 3, 4, 5] + """ + import dill as pickle + mode = kwds.pop('mode', 'rb') + name = getattr(file, 'name', file) # name=file.name or name=file (if str) + return pickle.load(open(name, mode=mode, **kwds)) + +def dump(object, **kwds): + """dill.dump of object to a NamedTemporaryFile. +Loads with "dill.temp.load". Returns the filehandle. + + >>> dumpfile = dill.temp.dump([1, 2, 3, 4, 5]) + >>> dill.temp.load(dumpfile) + [1, 2, 3, 4, 5] + +Optional kwds: + If 'suffix' is specified, the file name will end with that suffix, + otherwise there will be no suffix. + + If 'prefix' is specified, the file name will begin with that prefix, + otherwise a default prefix is used. + + If 'dir' is specified, the file will be created in that directory, + otherwise a default directory is used. + + If 'text' is specified and true, the file is opened in text + mode. Else (the default) the file is opened in binary mode. On + some operating systems, this makes no difference. + +NOTE: Keep the return value for as long as you want your file to exist ! + """ + import dill as pickle + import tempfile + kwds.setdefault('delete', True) + file = tempfile.NamedTemporaryFile(**kwds) + pickle.dump(object, file) + file.flush() + return file + +def loadIO(buffer, **kwds): + """load an object that was stored with dill.temp.dumpIO + + buffer: buffer object + + >>> dumpfile = dill.temp.dumpIO([1, 2, 3, 4, 5]) + >>> dill.temp.loadIO(dumpfile) + [1, 2, 3, 4, 5] + """ + import dill as pickle + from io import BytesIO as StringIO + value = getattr(buffer, 'getvalue', buffer) # value or buffer.getvalue + if value != buffer: value = value() # buffer.getvalue() + return pickle.load(StringIO(value)) + +def dumpIO(object, **kwds): + """dill.dump of object to a buffer. +Loads with "dill.temp.loadIO". Returns the buffer object. + + >>> dumpfile = dill.temp.dumpIO([1, 2, 3, 4, 5]) + >>> dill.temp.loadIO(dumpfile) + [1, 2, 3, 4, 5] + """ + import dill as pickle + from io import BytesIO as StringIO + file = StringIO() + pickle.dump(object, file) + file.flush() + return file + +def loadIO_source(buffer, **kwds): + """load an object that was stored with dill.temp.dumpIO_source + + buffer: buffer object + alias: string name of stored object + + >>> f = lambda x:x**2 + >>> pyfile = dill.temp.dumpIO_source(f, alias='_f') + >>> _f = dill.temp.loadIO_source(pyfile) + >>> _f(4) + 16 + """ + alias = kwds.pop('alias', None) + source = getattr(buffer, 'getvalue', buffer) # source or buffer.getvalue + if source != buffer: source = source() # buffer.getvalue() + source = source.decode() # buffer to string + if not alias: + tag = source.strip().splitlines()[-1].split() + if tag[0] != '#NAME:': + stub = source.splitlines()[0] + raise IOError("unknown name for code: %s" % stub) + alias = tag[-1] + local = {} + exec(source, local) + _ = eval("%s" % alias, local) + return _ + +def dumpIO_source(object, **kwds): + """write object source to a buffer (instead of dill.dump) +Loads by with dill.temp.loadIO_source. Returns the buffer object. + + >>> f = lambda x:x**2 + >>> pyfile = dill.temp.dumpIO_source(f, alias='_f') + >>> _f = dill.temp.loadIO_source(pyfile) + >>> _f(4) + 16 + +Optional kwds: + If 'alias' is specified, the object will be renamed to the given string. + """ + from .source import importable, getname + from io import BytesIO as StringIO + alias = kwds.pop('alias', '') #XXX: include an alias so a name is known + name = str(alias) or getname(object) + name = "\n#NAME: %s\n" % name + #XXX: assumes kwds['dir'] is writable and on $PYTHONPATH + file = StringIO() + file.write(b(''.join([importable(object, alias=alias),name]))) + file.flush() + return file + + +del contextlib + + +# EOF diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..3fbec382c8b8ad0967d0056ae85ed281bb6a4541 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/__init__.py @@ -0,0 +1,22 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2018-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +to run this test suite, first build and install `dill`. + + $ python -m pip install ../.. + + +then run the tests with: + + $ python -m dill.tests + + +or, if `nose` is installed: + + $ nosetests + +""" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/__main__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/__main__.py new file mode 100644 index 0000000000000000000000000000000000000000..b84d24cb8d27ae0c7e34b7ff626e868a6817e782 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/__main__.py @@ -0,0 +1,35 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2018-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import glob +import os +import sys +import subprocess as sp +python = sys.executable +try: + import pox + python = pox.which_python(version=True) or python +except ImportError: + pass +shell = sys.platform[:3] == 'win' + +suite = os.path.dirname(__file__) or os.path.curdir +tests = glob.glob(suite + os.path.sep + 'test_*.py') + + +if __name__ == '__main__': + + failed = 0 + for test in tests: + p = sp.Popen([python, test], shell=shell).wait() + if p: + print('F', end='', flush=True) + failed = 1 + else: + print('.', end='', flush=True) + print('') + exit(failed) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_abc.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_abc.py new file mode 100644 index 0000000000000000000000000000000000000000..b16d30920a079894d26d72b3418c118377d11d73 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_abc.py @@ -0,0 +1,169 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2023-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +test dill's ability to pickle abstract base class objects +""" +import dill +import abc +from abc import ABC +import warnings + +from types import FunctionType + +dill.settings['recurse'] = True + +class OneTwoThree(ABC): + @abc.abstractmethod + def foo(self): + """A method""" + pass + + @property + @abc.abstractmethod + def bar(self): + """Property getter""" + pass + + @bar.setter + @abc.abstractmethod + def bar(self, value): + """Property setter""" + pass + + @classmethod + @abc.abstractmethod + def cfoo(cls): + """Class method""" + pass + + @staticmethod + @abc.abstractmethod + def sfoo(): + """Static method""" + pass + +class EasyAsAbc(OneTwoThree): + def __init__(self): + self._bar = None + + def foo(self): + return "Instance Method FOO" + + @property + def bar(self): + return self._bar + + @bar.setter + def bar(self, value): + self._bar = value + + @classmethod + def cfoo(cls): + return "Class Method CFOO" + + @staticmethod + def sfoo(): + return "Static Method SFOO" + +def test_abc_non_local(): + assert dill.copy(OneTwoThree) is not OneTwoThree + assert dill.copy(EasyAsAbc) is not EasyAsAbc + + with warnings.catch_warnings(): + warnings.simplefilter("ignore", dill.PicklingWarning) + assert dill.copy(OneTwoThree, byref=True) is OneTwoThree + assert dill.copy(EasyAsAbc, byref=True) is EasyAsAbc + + instance = EasyAsAbc() + # Set a property that StockPickle can't preserve + instance.bar = lambda x: x**2 + depickled = dill.copy(instance) + assert type(depickled) is type(instance) #NOTE: issue #612, test_abc_local + #NOTE: dill.copy of local (or non-local) classes should (not) be the same? + assert type(depickled.bar) is FunctionType + assert depickled.bar(3) == 9 + assert depickled.sfoo() == "Static Method SFOO" + assert depickled.cfoo() == "Class Method CFOO" + assert depickled.foo() == "Instance Method FOO" + +def test_abc_local(): + """ + Test using locally scoped ABC class + """ + class LocalABC(ABC): + @abc.abstractmethod + def foo(self): + pass + + def baz(self): + return repr(self) + + labc = dill.copy(LocalABC) + assert labc is not LocalABC + assert type(labc) is type(LocalABC) + #NOTE: dill.copy of local (or non-local) classes should (not) be the same? + # + # .LocalABC'> + + class Real(labc): + def foo(self): + return "True!" + + def baz(self): + return "My " + super(Real, self).baz() + + real = Real() + assert real.foo() == "True!" + + try: + labc() + except TypeError as e: + # Expected error + pass + else: + print('Failed to raise type error') + assert False + + labc2, pik = dill.copy((labc, Real())) + assert 'Real' == type(pik).__name__ + assert '.Real' in type(pik).__qualname__ + assert type(pik) is not Real + assert labc2 is not LocalABC + assert labc2 is not labc + assert isinstance(pik, labc2) + assert not isinstance(pik, labc) + assert not isinstance(pik, LocalABC) + assert pik.baz() == "My " + repr(pik) + +def test_meta_local_no_cache(): + """ + Test calling metaclass and cache registration + """ + LocalMetaABC = abc.ABCMeta('LocalMetaABC', (), {}) + + class ClassyClass: + pass + + class KlassyClass: + pass + + LocalMetaABC.register(ClassyClass) + + assert not issubclass(KlassyClass, LocalMetaABC) + assert issubclass(ClassyClass, LocalMetaABC) + + res = dill.dumps((LocalMetaABC, ClassyClass, KlassyClass)) + + lmabc, cc, kc = dill.loads(res) + assert type(lmabc) == type(LocalMetaABC) + assert not issubclass(kc, lmabc) + assert issubclass(cc, lmabc) + +if __name__ == '__main__': + test_abc_non_local() + test_abc_local() + test_meta_local_no_cache() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_check.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_check.py new file mode 100644 index 0000000000000000000000000000000000000000..c0ab757a34b5515a09edb2bcb192ab922ec88e60 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_check.py @@ -0,0 +1,62 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +from dill import check +import sys + +from dill.temp import capture + + +#FIXME: this doesn't catch output... it's from the internal call +def raise_check(func, **kwds): + try: + with capture('stdout') as out: + check(func, **kwds) + except Exception: + e = sys.exc_info()[1] + raise AssertionError(str(e)) + else: + assert 'Traceback' not in out.getvalue() + finally: + out.close() + + +f = lambda x:x**2 + + +def test_simple(verbose=None): + raise_check(f, verbose=verbose) + + +def test_recurse(verbose=None): + raise_check(f, recurse=True, verbose=verbose) + + +def test_byref(verbose=None): + raise_check(f, byref=True, verbose=verbose) + + +def test_protocol(verbose=None): + raise_check(f, protocol=True, verbose=verbose) + + +def test_python(verbose=None): + raise_check(f, python=None, verbose=verbose) + + +#TODO: test incompatible versions +#TODO: test dump failure +#TODO: test load failure + + +if __name__ == '__main__': + test_simple() + test_recurse() + test_byref() + test_protocol() + test_python() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_classdef.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_classdef.py new file mode 100644 index 0000000000000000000000000000000000000000..b09df50ca9632a972aa784676771a239d3a7fad4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_classdef.py @@ -0,0 +1,340 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import dill +from enum import EnumMeta +import sys +dill.settings['recurse'] = True + +# test classdefs +class _class: + def _method(self): + pass + def ok(self): + return True + +class _class2: + def __call__(self): + pass + def ok(self): + return True + +class _newclass(object): + def _method(self): + pass + def ok(self): + return True + +class _newclass2(object): + def __call__(self): + pass + def ok(self): + return True + +class _meta(type): + pass + +def __call__(self): + pass +def ok(self): + return True + +_mclass = _meta("_mclass", (object,), {"__call__": __call__, "ok": ok}) + +del __call__ +del ok + +o = _class() +oc = _class2() +n = _newclass() +nc = _newclass2() +m = _mclass() + +if sys.hexversion < 0x03090000: + import typing + class customIntList(typing.List[int]): + pass +else: + class customIntList(list[int]): + pass + +# test pickles for class instances +def test_class_instances(): + assert dill.pickles(o) + assert dill.pickles(oc) + assert dill.pickles(n) + assert dill.pickles(nc) + assert dill.pickles(m) + +def test_class_objects(): + clslist = [_class,_class2,_newclass,_newclass2,_mclass] + objlist = [o,oc,n,nc,m] + _clslist = [dill.dumps(obj) for obj in clslist] + _objlist = [dill.dumps(obj) for obj in objlist] + + for obj in clslist: + globals().pop(obj.__name__) + del clslist + for obj in ['o','oc','n','nc']: + globals().pop(obj) + del objlist + del obj + + for obj,cls in zip(_objlist,_clslist): + _cls = dill.loads(cls) + _obj = dill.loads(obj) + assert _obj.ok() + assert _cls.ok(_cls()) + if _cls.__name__ == "_mclass": + assert type(_cls).__name__ == "_meta" + +# test NoneType +def test_specialtypes(): + assert dill.pickles(type(None)) + assert dill.pickles(type(NotImplemented)) + assert dill.pickles(type(Ellipsis)) + assert dill.pickles(type(EnumMeta)) + +from collections import namedtuple +Z = namedtuple("Z", ['a','b']) +Zi = Z(0,1) +X = namedtuple("Y", ['a','b']) +X.__name__ = "X" +X.__qualname__ = "X" #XXX: name must 'match' or fails to pickle +Xi = X(0,1) +Bad = namedtuple("FakeName", ['a','b']) +Badi = Bad(0,1) +Defaults = namedtuple('Defaults', ['x', 'y'], defaults=[1]) +Defaultsi = Defaults(2) + +# test namedtuple +def test_namedtuple(): + assert Z is dill.loads(dill.dumps(Z)) + assert Zi == dill.loads(dill.dumps(Zi)) + assert X is dill.loads(dill.dumps(X)) + assert Xi == dill.loads(dill.dumps(Xi)) + assert Defaults is dill.loads(dill.dumps(Defaults)) + assert Defaultsi == dill.loads(dill.dumps(Defaultsi)) + assert Bad is not dill.loads(dill.dumps(Bad)) + assert Bad._fields == dill.loads(dill.dumps(Bad))._fields + assert tuple(Badi) == tuple(dill.loads(dill.dumps(Badi))) + + class A: + class B(namedtuple("C", ["one", "two"])): + '''docstring''' + B.__module__ = 'testing' + + a = A() + assert dill.copy(a) + + assert dill.copy(A.B).__name__ == 'B' + assert dill.copy(A.B).__qualname__.endswith('..A.B') + assert dill.copy(A.B).__doc__ == 'docstring' + assert dill.copy(A.B).__module__ == 'testing' + + from typing import NamedTuple + + def A(): + class B(NamedTuple): + x: int + return B + + assert type(dill.copy(A()(8))).__qualname__ == type(A()(8)).__qualname__ + +def test_dtype(): + try: + import numpy as np + + dti = np.dtype('int') + assert np.dtype == dill.copy(np.dtype) + assert dti == dill.copy(dti) + except ImportError: pass + + +def test_array_nested(): + try: + import numpy as np + + x = np.array([1]) + y = (x,) + assert y == dill.copy(y) + + except ImportError: pass + + +def test_array_subclass(): + try: + import numpy as np + + class TestArray(np.ndarray): + def __new__(cls, input_array, color): + obj = np.asarray(input_array).view(cls) + obj.color = color + return obj + def __array_finalize__(self, obj): + if obj is None: + return + if isinstance(obj, type(self)): + self.color = obj.color + def __getnewargs__(self): + return np.asarray(self), self.color + + a1 = TestArray(np.zeros(100), color='green') + if not dill._dill.IS_PYPY: + assert dill.pickles(a1) + assert a1.__dict__ == dill.copy(a1).__dict__ + + a2 = a1[0:9] + if not dill._dill.IS_PYPY: + assert dill.pickles(a2) + assert a2.__dict__ == dill.copy(a2).__dict__ + + class TestArray2(np.ndarray): + color = 'blue' + + a3 = TestArray2([1,2,3,4,5]) + a3.color = 'green' + if not dill._dill.IS_PYPY: + assert dill.pickles(a3) + assert a3.__dict__ == dill.copy(a3).__dict__ + + except ImportError: pass + + +def test_method_decorator(): + class A(object): + @classmethod + def test(cls): + pass + + a = A() + + res = dill.dumps(a) + new_obj = dill.loads(res) + new_obj.__class__.test() + +# test slots +class Y(object): + __slots__ = ('y', '__weakref__') + def __init__(self, y): + self.y = y + +value = 123 +y = Y(value) + +class Y2(object): + __slots__ = 'y' + def __init__(self, y): + self.y = y + +def test_slots(): + assert dill.pickles(Y) + assert dill.pickles(y) + assert dill.pickles(Y.y) + assert dill.copy(y).y == value + assert dill.copy(Y2(value)).y == value + +def test_origbases(): + assert dill.copy(customIntList).__orig_bases__ == customIntList.__orig_bases__ + +def test_attr(): + import attr + @attr.s + class A: + a = attr.ib() + + v = A(1) + assert dill.copy(v) == v + +def test_metaclass(): + class metaclass_with_new(type): + def __new__(mcls, name, bases, ns, **kwds): + cls = super().__new__(mcls, name, bases, ns, **kwds) + assert mcls is not None + assert cls.method(mcls) + return cls + def method(cls, mcls): + return isinstance(cls, mcls) + + l = locals() + exec("""class subclass_with_new(metaclass=metaclass_with_new): + def __new__(cls): + self = super().__new__(cls) + return self""", None, l) + subclass_with_new = l['subclass_with_new'] + + assert dill.copy(subclass_with_new()) + +def test_enummeta(): + from http import HTTPStatus + import enum + assert dill.copy(HTTPStatus.OK) is HTTPStatus.OK + assert dill.copy(enum.EnumMeta) is enum.EnumMeta + +def test_inherit(): #NOTE: see issue #612 + class Foo: + w = 0 + x = 1 + y = 1.1 + a = () + b = (1,) + n = None + + class Bar(Foo): + w = 2 + x = 1 + y = 1.1 + z = 0.2 + a = () + b = (1,) + c = (2,) + n = None + + Baz = dill.copy(Bar) + + import platform + is_pypy = platform.python_implementation() == 'PyPy' + assert Bar.__dict__ == Baz.__dict__ + # ints + assert 'w' in Bar.__dict__ and 'w' in Baz.__dict__ + assert Bar.__dict__['w'] is Baz.__dict__['w'] + assert 'x' in Bar.__dict__ and 'x' in Baz.__dict__ + assert Bar.__dict__['x'] is Baz.__dict__['x'] + # floats + assert 'y' in Bar.__dict__ and 'y' in Baz.__dict__ + same = Bar.__dict__['y'] is Baz.__dict__['y'] + assert same if is_pypy else not same + assert 'z' in Bar.__dict__ and 'z' in Baz.__dict__ + same = Bar.__dict__['z'] is Baz.__dict__['z'] + assert same if is_pypy else not same + # tuples + assert 'a' in Bar.__dict__ and 'a' in Baz.__dict__ + assert Bar.__dict__['a'] is Baz.__dict__['a'] + assert 'b' in Bar.__dict__ and 'b' in Baz.__dict__ + assert Bar.__dict__['b'] is not Baz.__dict__['b'] + assert 'c' in Bar.__dict__ and 'c' in Baz.__dict__ + assert Bar.__dict__['c'] is not Baz.__dict__['c'] + # None + assert 'n' in Bar.__dict__ and 'n' in Baz.__dict__ + assert Bar.__dict__['n'] is Baz.__dict__['n'] + + +if __name__ == '__main__': + test_class_instances() + test_class_objects() + test_specialtypes() + test_namedtuple() + test_dtype() + test_array_nested() + test_array_subclass() + test_method_decorator() + test_slots() + test_origbases() + test_metaclass() + test_enummeta() + test_inherit() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_dataclasses.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_dataclasses.py new file mode 100644 index 0000000000000000000000000000000000000000..10dc51c50a129b7a28b4959d4a01c68e2c76a346 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_dataclasses.py @@ -0,0 +1,35 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Author: Anirudh Vegesana (avegesan@cs.stanford.edu) +# Copyright (c) 2022-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +test pickling a dataclass +""" + +import dill +import dataclasses + +def test_dataclasses(): + # Issue #500 + @dataclasses.dataclass + class A: + x: int + y: str + + @dataclasses.dataclass + class B: + a: A + + a = A(1, "test") + before = B(a) + save = dill.dumps(before) + after = dill.loads(save) + assert before != after # classes don't match + assert before == B(A(**dataclasses.asdict(after.a))) + assert dataclasses.asdict(before) == dataclasses.asdict(after) + +if __name__ == '__main__': + test_dataclasses() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_detect.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_detect.py new file mode 100644 index 0000000000000000000000000000000000000000..342cc1acf43f68b1acffc90c070a4faef124b02d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_detect.py @@ -0,0 +1,159 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +from dill.detect import baditems, badobjects, badtypes, errors, parent, at, globalvars +from dill import settings +from dill._dill import IS_PYPY +from pickle import PicklingError + +import inspect +import sys +import os + +def test_bad_things(): + f = inspect.currentframe() + assert baditems(f) == [f] + #assert baditems(globals()) == [f] #XXX + assert badobjects(f) is f + assert badtypes(f) == type(f) + assert type(errors(f)) is TypeError + d = badtypes(f, 1) + assert isinstance(d, dict) + assert list(badobjects(f, 1).keys()) == list(d.keys()) + assert list(errors(f, 1).keys()) == list(d.keys()) + s = set([(err.__class__.__name__,err.args[0]) for err in list(errors(f, 1).values())]) + a = dict(s) + if not os.environ.get('COVERAGE'): #XXX: travis-ci + assert len(s) is len(a) # TypeError (and possibly PicklingError) + n = 2 + assert len(a) is n if 'PicklingError' in a.keys() else n-1 + +def test_parent(): + x = [4,5,6,7] + listiter = iter(x) + obj = parent(listiter, list) + assert obj is x + + if IS_PYPY: assert parent(obj, int) is None + else: assert parent(obj, int) is x[-1] # python oddly? finds last int + assert at(id(at)) is at + +a, b, c = 1, 2, 3 + +def squared(x): + return a+x**2 + +def foo(x): + def bar(y): + return squared(x)+y + return bar + +class _class: + def _method(self): + pass + def ok(self): + return True + +def test_globals(): + def f(): + a + def g(): + b + def h(): + c + assert globalvars(f) == dict(a=1, b=2, c=3) + + res = globalvars(foo, recurse=True) + assert set(res) == set(['squared', 'a']) + res = globalvars(foo, recurse=False) + assert res == {} + zap = foo(2) + res = globalvars(zap, recurse=True) + assert set(res) == set(['squared', 'a']) + res = globalvars(zap, recurse=False) + assert set(res) == set(['squared']) + del zap + res = globalvars(squared) + assert set(res) == set(['a']) + # FIXME: should find referenced __builtins__ + #res = globalvars(_class, recurse=True) + #assert set(res) == set(['True']) + #res = globalvars(_class, recurse=False) + #assert res == {} + #res = globalvars(_class.ok, recurse=True) + #assert set(res) == set(['True']) + #res = globalvars(_class.ok, recurse=False) + #assert set(res) == set(['True']) + + +#98 dill ignores __getstate__ in interactive lambdas +bar = [0] + +class Foo(object): + def __init__(self): + pass + def __getstate__(self): + bar[0] = bar[0]+1 + return {} + def __setstate__(self, data): + pass + +f = Foo() + +def test_getstate(): + from dill import dumps, loads + dumps(f) + b = bar[0] + dumps(lambda: f, recurse=False) # doesn't call __getstate__ + assert bar[0] == b + dumps(lambda: f, recurse=True) # calls __getstate__ + assert bar[0] == b + 1 + +#97 serialize lambdas in test files +def test_deleted(): + global sin + from dill import dumps, loads + from math import sin, pi + + def sinc(x): + return sin(x)/x + + settings['recurse'] = True + _sinc = dumps(sinc) + sin = globals().pop('sin') + sin = 1 + del sin + sinc_ = loads(_sinc) # no NameError... pickling preserves 'sin' + res = sinc_(1) + from math import sin + assert sinc(1) == res + + +def test_lambdify(): + try: + from sympy import symbols, lambdify + except ImportError: + return + settings['recurse'] = True + x = symbols("x") + y = x**2 + f = lambdify([x], y) + z = min + d = globals() + globalvars(f, recurse=True, builtin=True) + assert z is min + assert d is globals() + + +if __name__ == '__main__': + test_bad_things() + test_parent() + test_globals() + test_getstate() + test_deleted() + test_lambdify() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_dictviews.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_dictviews.py new file mode 100644 index 0000000000000000000000000000000000000000..4e94ce32c5e50442ff991dd85e061d24f7e50223 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_dictviews.py @@ -0,0 +1,39 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Author: Anirudh Vegesana (avegesan@cs.stanford.edu) +# Copyright (c) 2021-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import dill +from dill._dill import OLD310, MAPPING_PROXY_TRICK, DictProxyType + +def test_dictproxy(): + assert dill.copy(DictProxyType({'a': 2})) + +def test_dictviews(): + x = {'a': 1} + assert dill.copy(x.keys()) + assert dill.copy(x.values()) + assert dill.copy(x.items()) + +def test_dictproxy_trick(): + if not OLD310 and MAPPING_PROXY_TRICK: + x = {'a': 1} + all_views = (x.values(), x.items(), x.keys(), x) + seperate_views = dill.copy(all_views) + new_x = seperate_views[-1] + new_x['b'] = 2 + new_x['c'] = 1 + assert len(new_x) == 3 and len(x) == 1 + assert len(seperate_views[0]) == 3 and len(all_views[0]) == 1 + assert len(seperate_views[1]) == 3 and len(all_views[1]) == 1 + assert len(seperate_views[2]) == 3 and len(all_views[2]) == 1 + assert dict(all_views[1]) == x + assert dict(seperate_views[1]) == new_x + +if __name__ == '__main__': + test_dictproxy() + test_dictviews() + test_dictproxy_trick() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_diff.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_diff.py new file mode 100644 index 0000000000000000000000000000000000000000..a175305344aeaf8a61c52ab2d16e1084671a0887 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_diff.py @@ -0,0 +1,107 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +from dill import __diff as diff + +import sys +IS_PYPY = not hasattr(sys, 'getrefcount') + +class A: + pass + +def test_diff(): + a = A() + b = A() + c = A() + a.a = b + b.a = c + diff.memorise(a) + assert not diff.has_changed(a) + c.a = 1 + assert diff.has_changed(a) + diff.memorise(c, force=True) + assert not diff.has_changed(a) + c.a = 2 + assert diff.has_changed(a) + changed = diff.whats_changed(a) + assert list(changed[0].keys()) == ["a"] + assert not changed[1] + + a2 = [] + b2 = [a2] + c2 = [b2] + diff.memorise(c2) + assert not diff.has_changed(c2) + a2.append(1) + assert diff.has_changed(c2) + changed = diff.whats_changed(c2) + assert changed[0] == {} + assert changed[1] + + a3 = {} + b3 = {1: a3} + c3 = {1: b3} + diff.memorise(c3) + assert not diff.has_changed(c3) + a3[1] = 1 + assert diff.has_changed(c3) + changed = diff.whats_changed(c3) + assert changed[0] == {} + assert changed[1] + + if not IS_PYPY: + import abc + # make sure the "_abc_invaldation_counter" doesn't make test fail + diff.memorise(abc.ABCMeta, force=True) + assert not diff.has_changed(abc) + abc.ABCMeta.zzz = 1 + assert diff.has_changed(abc) + changed = diff.whats_changed(abc) + assert list(changed[0].keys()) == ["ABCMeta"] + assert not changed[1] + + ''' + import Queue + diff.memorise(Queue, force=True) + assert not diff.has_changed(Queue) + Queue.Queue.zzz = 1 + assert diff.has_changed(Queue) + changed = diff.whats_changed(Queue) + assert list(changed[0].keys()) == ["Queue"] + assert not changed[1] + + import math + diff.memorise(math, force=True) + assert not diff.has_changed(math) + math.zzz = 1 + assert diff.has_changed(math) + changed = diff.whats_changed(math) + assert list(changed[0].keys()) == ["zzz"] + assert not changed[1] + ''' + + a = A() + b = A() + c = A() + a.a = b + b.a = c + diff.memorise(a) + assert not diff.has_changed(a) + c.a = 1 + assert diff.has_changed(a) + diff.memorise(c, force=True) + assert not diff.has_changed(a) + del c.a + assert diff.has_changed(a) + changed = diff.whats_changed(a) + assert list(changed[0].keys()) == ["a"] + assert not changed[1] + + +if __name__ == '__main__': + test_diff() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_extendpickle.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_extendpickle.py new file mode 100644 index 0000000000000000000000000000000000000000..3b274d4bf2714c25ecddbbe13904b72759211d66 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_extendpickle.py @@ -0,0 +1,53 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import dill as pickle +from io import BytesIO as StringIO + + +def my_fn(x): + return x * 17 + + +def test_extend(): + obj = lambda : my_fn(34) + assert obj() == 578 + + obj_io = StringIO() + pickler = pickle.Pickler(obj_io) + pickler.dump(obj) + + obj_str = obj_io.getvalue() + + obj2_io = StringIO(obj_str) + unpickler = pickle.Unpickler(obj2_io) + obj2 = unpickler.load() + + assert obj2() == 578 + + +def test_isdill(): + obj_io = StringIO() + pickler = pickle.Pickler(obj_io) + assert pickle._dill.is_dill(pickler) is True + + pickler = pickle._dill.StockPickler(obj_io) + assert pickle._dill.is_dill(pickler) is False + + try: + import multiprocess as mp + pickler = mp.reduction.ForkingPickler(obj_io) + assert pickle._dill.is_dill(pickler, child=True) is True + assert pickle._dill.is_dill(pickler, child=False) is False + except Exception: + pass + + +if __name__ == '__main__': + test_extend() + test_isdill() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_fglobals.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_fglobals.py new file mode 100644 index 0000000000000000000000000000000000000000..80b356545804d5e78b78957a6c8f9646a07f68ac --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_fglobals.py @@ -0,0 +1,55 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2021-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import dill +dill.settings['recurse'] = True + +def get_fun_with_strftime(): + def fun_with_strftime(): + import datetime + return datetime.datetime.strptime("04-01-1943", "%d-%m-%Y").strftime( + "%Y-%m-%d %H:%M:%S" + ) + return fun_with_strftime + + +def get_fun_with_strftime2(): + import datetime + return datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S') + + +def test_doc_dill_issue_219(): + back_fn = dill.loads(dill.dumps(get_fun_with_strftime())) + assert back_fn() == "1943-01-04 00:00:00" + dupl = dill.loads(dill.dumps(get_fun_with_strftime2)) + assert dupl() == get_fun_with_strftime2() + + +def get_fun_with_internal_import(): + def fun_with_import(): + import re + return re.compile("$") + return fun_with_import + + +def test_method_with_internal_import_should_work(): + import re + back_fn = dill.loads(dill.dumps(get_fun_with_internal_import())) + import inspect + if hasattr(inspect, 'getclosurevars'): + vars = inspect.getclosurevars(back_fn) + assert vars.globals == {} + assert vars.nonlocals == {} + assert back_fn() == re.compile("$") + assert "__builtins__" in back_fn.__globals__ + + +if __name__ == "__main__": + import sys + if (sys.version_info[:3] != (3,10,0) or sys.version_info[3] != 'alpha'): + test_doc_dill_issue_219() + test_method_with_internal_import_should_work() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_file.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_file.py new file mode 100644 index 0000000000000000000000000000000000000000..ad949f36704ae41a03c47245af3b84a85b803f59 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_file.py @@ -0,0 +1,500 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import os +import sys +import string +import random + +import dill + + +dill.settings['recurse'] = True + +fname = "_test_file.txt" +rand_chars = list(string.ascii_letters) + ["\n"] * 40 # bias newline + +buffer_error = ValueError("invalid buffer size") +dne_error = FileNotFoundError("[Errno 2] No such file or directory: '%s'" % fname) + + +def write_randomness(number=200): + f = open(fname, "w") + for i in range(number): + f.write(random.choice(rand_chars)) + f.close() + f = open(fname, "r") + contents = f.read() + f.close() + return contents + + +def trunc_file(): + open(fname, "w").close() + + +def throws(op, args, exc): + try: + op(*args) + except type(exc): + return sys.exc_info()[1].args == exc.args + else: + return False + + +def teardown_module(): + if os.path.exists(fname): + os.remove(fname) + + +def bench(strictio, fmode, skippypy): + import platform + if skippypy and platform.python_implementation() == 'PyPy': + # Skip for PyPy... + return + + # file exists, with same contents + # read + + write_randomness() + + f = open(fname, "r") + _f = dill.loads(dill.dumps(f, fmode=fmode))#, strictio=strictio)) + assert _f.mode == f.mode + assert _f.tell() == f.tell() + assert _f.read() == f.read() + f.close() + _f.close() + + # write + + f = open(fname, "w") + f.write("hello") + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + f1mode = f.mode + ftell = f.tell() + f.close() + f2 = dill.loads(f_dumped) #FIXME: fails due to pypy/issues/1233 + # TypeError: expected py_object instance instead of str + f2mode = f2.mode + f2tell = f2.tell() + f2name = f2.name + f2.write(" world!") + f2.close() + + if fmode == dill.HANDLE_FMODE: + assert open(fname).read() == " world!" + assert f2mode == f1mode + assert f2tell == 0 + elif fmode == dill.CONTENTS_FMODE: + assert open(fname).read() == "hello world!" + assert f2mode == f1mode + assert f2tell == ftell + assert f2name == fname + elif fmode == dill.FILE_FMODE: + assert open(fname).read() == "hello world!" + assert f2mode == f1mode + assert f2tell == ftell + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + + # append + + trunc_file() + + f = open(fname, "a") + f.write("hello") + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + f1mode = f.mode + ftell = f.tell() + f.close() + f2 = dill.loads(f_dumped) + f2mode = f2.mode + f2tell = f2.tell() + f2.write(" world!") + f2.close() + + assert f2mode == f1mode + if fmode == dill.CONTENTS_FMODE: + assert open(fname).read() == "hello world!" + assert f2tell == ftell + elif fmode == dill.HANDLE_FMODE: + assert open(fname).read() == "hello world!" + assert f2tell == ftell + elif fmode == dill.FILE_FMODE: + assert open(fname).read() == "hello world!" + assert f2tell == ftell + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + + # file exists, with different contents (smaller size) + # read + + write_randomness() + + f = open(fname, "r") + fstr = f.read() + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + f1mode = f.mode + ftell = f.tell() + f.close() + _flen = 150 + _fstr = write_randomness(number=_flen) + + if strictio: # throw error if ftell > EOF + assert throws(dill.loads, (f_dumped,), buffer_error) + else: + f2 = dill.loads(f_dumped) + assert f2.mode == f1mode + if fmode == dill.CONTENTS_FMODE: + assert f2.tell() == _flen + assert f2.read() == "" + f2.seek(0) + assert f2.read() == _fstr + assert f2.tell() == _flen # 150 + elif fmode == dill.HANDLE_FMODE: + assert f2.tell() == 0 + assert f2.read() == _fstr + assert f2.tell() == _flen # 150 + elif fmode == dill.FILE_FMODE: + assert f2.tell() == ftell # 200 + assert f2.read() == "" + f2.seek(0) + assert f2.read() == fstr + assert f2.tell() == ftell # 200 + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + f2.close() + + # write + + write_randomness() + + f = open(fname, "w") + f.write("hello") + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + f1mode = f.mode + ftell = f.tell() + f.close() + fstr = open(fname).read() + + f = open(fname, "w") + f.write("h") + _ftell = f.tell() + f.close() + + if strictio: # throw error if ftell > EOF + assert throws(dill.loads, (f_dumped,), buffer_error) + else: + f2 = dill.loads(f_dumped) + f2mode = f2.mode + f2tell = f2.tell() + f2.write(" world!") + f2.close() + if fmode == dill.CONTENTS_FMODE: + assert open(fname).read() == "h world!" + assert f2mode == f1mode + assert f2tell == _ftell + elif fmode == dill.HANDLE_FMODE: + assert open(fname).read() == " world!" + assert f2mode == f1mode + assert f2tell == 0 + elif fmode == dill.FILE_FMODE: + assert open(fname).read() == "hello world!" + assert f2mode == f1mode + assert f2tell == ftell + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + f2.close() + + # append + + trunc_file() + + f = open(fname, "a") + f.write("hello") + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + f1mode = f.mode + ftell = f.tell() + f.close() + fstr = open(fname).read() + + f = open(fname, "w") + f.write("h") + _ftell = f.tell() + f.close() + + if strictio: # throw error if ftell > EOF + assert throws(dill.loads, (f_dumped,), buffer_error) + else: + f2 = dill.loads(f_dumped) + f2mode = f2.mode + f2tell = f2.tell() + f2.write(" world!") + f2.close() + assert f2mode == f1mode + if fmode == dill.CONTENTS_FMODE: + # position of writes cannot be changed on some OSs + assert open(fname).read() == "h world!" + assert f2tell == _ftell + elif fmode == dill.HANDLE_FMODE: + assert open(fname).read() == "h world!" + assert f2tell == _ftell + elif fmode == dill.FILE_FMODE: + assert open(fname).read() == "hello world!" + assert f2tell == ftell + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + f2.close() + + # file does not exist + # read + + write_randomness() + + f = open(fname, "r") + fstr = f.read() + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + f1mode = f.mode + ftell = f.tell() + f.close() + + os.remove(fname) + + if strictio: # throw error if file DNE + assert throws(dill.loads, (f_dumped,), dne_error) + else: + f2 = dill.loads(f_dumped) + assert f2.mode == f1mode + if fmode == dill.CONTENTS_FMODE: + # FIXME: this fails on systems where f2.tell() always returns 0 + # assert f2.tell() == ftell # 200 + assert f2.read() == "" + f2.seek(0) + assert f2.read() == "" + assert f2.tell() == 0 + elif fmode == dill.FILE_FMODE: + assert f2.tell() == ftell # 200 + assert f2.read() == "" + f2.seek(0) + assert f2.read() == fstr + assert f2.tell() == ftell # 200 + elif fmode == dill.HANDLE_FMODE: + assert f2.tell() == 0 + assert f2.read() == "" + assert f2.tell() == 0 + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + f2.close() + + # write + + write_randomness() + + f = open(fname, "w+") + f.write("hello") + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + ftell = f.tell() + f1mode = f.mode + f.close() + + os.remove(fname) + + if strictio: # throw error if file DNE + assert throws(dill.loads, (f_dumped,), dne_error) + else: + f2 = dill.loads(f_dumped) + f2mode = f2.mode + f2tell = f2.tell() + f2.write(" world!") + f2.close() + if fmode == dill.CONTENTS_FMODE: + assert open(fname).read() == " world!" + assert f2mode == 'w+' + assert f2tell == 0 + elif fmode == dill.HANDLE_FMODE: + assert open(fname).read() == " world!" + assert f2mode == f1mode + assert f2tell == 0 + elif fmode == dill.FILE_FMODE: + assert open(fname).read() == "hello world!" + assert f2mode == f1mode + assert f2tell == ftell + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + + # append + + trunc_file() + + f = open(fname, "a") + f.write("hello") + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + ftell = f.tell() + f1mode = f.mode + f.close() + + os.remove(fname) + + if strictio: # throw error if file DNE + assert throws(dill.loads, (f_dumped,), dne_error) + else: + f2 = dill.loads(f_dumped) + f2mode = f2.mode + f2tell = f2.tell() + f2.write(" world!") + f2.close() + assert f2mode == f1mode + if fmode == dill.CONTENTS_FMODE: + assert open(fname).read() == " world!" + assert f2tell == 0 + elif fmode == dill.HANDLE_FMODE: + assert open(fname).read() == " world!" + assert f2tell == 0 + elif fmode == dill.FILE_FMODE: + assert open(fname).read() == "hello world!" + assert f2tell == ftell + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + + # file exists, with different contents (larger size) + # read + + write_randomness() + + f = open(fname, "r") + fstr = f.read() + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + f1mode = f.mode + ftell = f.tell() + f.close() + _flen = 250 + _fstr = write_randomness(number=_flen) + + # XXX: no safe_file: no way to be 'safe'? + + f2 = dill.loads(f_dumped) + assert f2.mode == f1mode + if fmode == dill.CONTENTS_FMODE: + assert f2.tell() == ftell # 200 + assert f2.read() == _fstr[ftell:] + f2.seek(0) + assert f2.read() == _fstr + assert f2.tell() == _flen # 250 + elif fmode == dill.HANDLE_FMODE: + assert f2.tell() == 0 + assert f2.read() == _fstr + assert f2.tell() == _flen # 250 + elif fmode == dill.FILE_FMODE: + assert f2.tell() == ftell # 200 + assert f2.read() == "" + f2.seek(0) + assert f2.read() == fstr + assert f2.tell() == ftell # 200 + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + f2.close() # XXX: other alternatives? + + # write + + f = open(fname, "w") + f.write("hello") + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + f1mode = f.mode + ftell = f.tell() + + fstr = open(fname).read() + + f.write(" and goodbye!") + _ftell = f.tell() + f.close() + + # XXX: no safe_file: no way to be 'safe'? + + f2 = dill.loads(f_dumped) + f2mode = f2.mode + f2tell = f2.tell() + f2.write(" world!") + f2.close() + if fmode == dill.CONTENTS_FMODE: + assert open(fname).read() == "hello world!odbye!" + assert f2mode == f1mode + assert f2tell == ftell + elif fmode == dill.HANDLE_FMODE: + assert open(fname).read() == " world!" + assert f2mode == f1mode + assert f2tell == 0 + elif fmode == dill.FILE_FMODE: + assert open(fname).read() == "hello world!" + assert f2mode == f1mode + assert f2tell == ftell + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + f2.close() + + # append + + trunc_file() + + f = open(fname, "a") + f.write("hello") + f_dumped = dill.dumps(f, fmode=fmode)#, strictio=strictio) + f1mode = f.mode + ftell = f.tell() + fstr = open(fname).read() + + f.write(" and goodbye!") + _ftell = f.tell() + f.close() + + # XXX: no safe_file: no way to be 'safe'? + + f2 = dill.loads(f_dumped) + f2mode = f2.mode + f2tell = f2.tell() + f2.write(" world!") + f2.close() + assert f2mode == f1mode + if fmode == dill.CONTENTS_FMODE: + assert open(fname).read() == "hello and goodbye! world!" + assert f2tell == ftell + elif fmode == dill.HANDLE_FMODE: + assert open(fname).read() == "hello and goodbye! world!" + assert f2tell == _ftell + elif fmode == dill.FILE_FMODE: + assert open(fname).read() == "hello world!" + assert f2tell == ftell + else: + raise RuntimeError("Unknown file mode '%s'" % fmode) + f2.close() + + +def test_nostrictio_handlefmode(): + bench(False, dill.HANDLE_FMODE, False) + teardown_module() + + +def test_nostrictio_filefmode(): + bench(False, dill.FILE_FMODE, False) + teardown_module() + + +def test_nostrictio_contentsfmode(): + bench(False, dill.CONTENTS_FMODE, True) + teardown_module() + + +#bench(True, dill.HANDLE_FMODE, False) +#bench(True, dill.FILE_FMODE, False) +#bench(True, dill.CONTENTS_FMODE, True) + + +if __name__ == '__main__': + test_nostrictio_handlefmode() + test_nostrictio_filefmode() + test_nostrictio_contentsfmode() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_functions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..305acc6571e969ca755f79220a3d2fc2a68cdef4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_functions.py @@ -0,0 +1,141 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2019-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import functools +import dill +import sys +dill.settings['recurse'] = True + + +def function_a(a): + return a + + +def function_b(b, b1): + return b + b1 + + +def function_c(c, c1=1): + return c + c1 + + +def function_d(d, d1, d2=1): + """doc string""" + return d + d1 + d2 + +function_d.__module__ = 'a module' + + +exec(''' +def function_e(e, *e1, e2=1, e3=2): + return e + sum(e1) + e2 + e3''') + +globalvar = 0 + +@functools.lru_cache(None) +def function_with_cache(x): + global globalvar + globalvar += x + return globalvar + + +def function_with_unassigned_variable(): + if False: + value = None + return (lambda: value) + + +def test_issue_510(): + # A very bizzare use of functions and methods that pickle doesn't get + # correctly for odd reasons. + class Foo: + def __init__(self): + def f2(self): + return self + self.f2 = f2.__get__(self) + + import dill, pickletools + f = Foo() + f1 = dill.copy(f) + assert f1.f2() is f1 + + +def test_functions(): + dumped_func_a = dill.dumps(function_a) + assert dill.loads(dumped_func_a)(0) == 0 + + dumped_func_b = dill.dumps(function_b) + assert dill.loads(dumped_func_b)(1,2) == 3 + + dumped_func_c = dill.dumps(function_c) + assert dill.loads(dumped_func_c)(1) == 2 + assert dill.loads(dumped_func_c)(1, 2) == 3 + + dumped_func_d = dill.dumps(function_d) + assert dill.loads(dumped_func_d).__doc__ == function_d.__doc__ + assert dill.loads(dumped_func_d).__module__ == function_d.__module__ + assert dill.loads(dumped_func_d)(1, 2) == 4 + assert dill.loads(dumped_func_d)(1, 2, 3) == 6 + assert dill.loads(dumped_func_d)(1, 2, d2=3) == 6 + + function_with_cache(1) + globalvar = 0 + dumped_func_cache = dill.dumps(function_with_cache) + assert function_with_cache(2) == 3 + assert function_with_cache(1) == 1 + assert function_with_cache(3) == 6 + assert function_with_cache(2) == 3 + + empty_cell = function_with_unassigned_variable() + cell_copy = dill.loads(dill.dumps(empty_cell)) + assert 'empty' in str(cell_copy.__closure__[0]) + try: + cell_copy() + except Exception: + # this is good + pass + else: + raise AssertionError('cell_copy() did not read an empty cell') + + exec(''' +dumped_func_e = dill.dumps(function_e) +assert dill.loads(dumped_func_e)(1, 2) == 6 +assert dill.loads(dumped_func_e)(1, 2, 3) == 9 +assert dill.loads(dumped_func_e)(1, 2, e2=3) == 8 +assert dill.loads(dumped_func_e)(1, 2, e2=3, e3=4) == 10 +assert dill.loads(dumped_func_e)(1, 2, 3, e2=4) == 12 +assert dill.loads(dumped_func_e)(1, 2, 3, e2=4, e3=5) == 15''') + +def test_code_object(): + import warnings + from dill._dill import ALL_CODE_PARAMS, CODE_PARAMS, CODE_VERSION, _create_code + code = function_c.__code__ + warnings.filterwarnings('ignore', category=DeprecationWarning) # issue 597 + LNOTAB = getattr(code, 'co_lnotab', b'') + if warnings.filters: del warnings.filters[0] + fields = {f: getattr(code, 'co_'+f) for f in CODE_PARAMS} + fields.setdefault('posonlyargcount', 0) # python >= 3.8 + fields.setdefault('lnotab', LNOTAB) # python <= 3.9 + fields.setdefault('linetable', b'') # python >= 3.10 + fields.setdefault('qualname', fields['name']) # python >= 3.11 + fields.setdefault('exceptiontable', b'') # python >= 3.11 + fields.setdefault('endlinetable', None) # python == 3.11a + fields.setdefault('columntable', None) # python == 3.11a + + for version, _, params in ALL_CODE_PARAMS: + args = tuple(fields[p] for p in params.split()) + try: + _create_code(*args) + if version >= (3,10): + _create_code(fields['lnotab'], *args) + except Exception as error: + raise Exception("failed to construct code object with format version {}".format(version)) from error + +if __name__ == '__main__': + test_functions() + test_issue_510() + test_code_object() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_functors.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_functors.py new file mode 100644 index 0000000000000000000000000000000000000000..1008be691537ca8e1089031fd5bbe924506f4279 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_functors.py @@ -0,0 +1,39 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import functools +import dill +dill.settings['recurse'] = True + + +def f(a, b, c): # without keywords + pass + + +def g(a, b, c=2): # with keywords + pass + + +def h(a=1, b=2, c=3): # without args + pass + + +def test_functools(): + fp = functools.partial(f, 1, 2) + gp = functools.partial(g, 1, c=2) + hp = functools.partial(h, 1, c=2) + bp = functools.partial(int, base=2) + + assert dill.pickles(fp, safe=True) + assert dill.pickles(gp, safe=True) + assert dill.pickles(hp, safe=True) + assert dill.pickles(bp, safe=True) + + +if __name__ == '__main__': + test_functools() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_logger.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_logger.py new file mode 100644 index 0000000000000000000000000000000000000000..b878a1054b36bfc4e39e3a575ef407c094ebd3a8 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_logger.py @@ -0,0 +1,70 @@ +#!/usr/bin/env python + +# Author: Leonardo Gama (@leogama) +# Copyright (c) 2022-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import logging +import re +import tempfile + +import dill +from dill import detect +from dill.logger import stderr_handler, adapter as logger + +try: + from StringIO import StringIO +except ImportError: + from io import StringIO + +test_obj = {'a': (1, 2), 'b': object(), 'f': lambda x: x**2, 'big': list(range(10))} + +def test_logging(should_trace): + buffer = StringIO() + handler = logging.StreamHandler(buffer) + logger.addHandler(handler) + try: + dill.dumps(test_obj) + if should_trace: + regex = re.compile(r'(\S*┬ \w.*[^)]' # begin pickling object + r'|│*└ # \w.* \[\d+ (\wi)?B])' # object written (with size) + ) + for line in buffer.getvalue().splitlines(): + assert regex.fullmatch(line) + return buffer.getvalue() + else: + assert buffer.getvalue() == "" + finally: + logger.removeHandler(handler) + buffer.close() + +def test_trace_to_file(stream_trace): + file = tempfile.NamedTemporaryFile(mode='r') + with detect.trace(file.name, mode='w'): + dill.dumps(test_obj) + file_trace = file.read() + file.close() + # Apparently, objects can change location in memory... + reghex = re.compile(r'0x[0-9A-Za-z]+') + file_trace, stream_trace = reghex.sub('0x', file_trace), reghex.sub('0x', stream_trace) + # PyPy prints dictionary contents with repr(dict)... + regdict = re.compile(r'(dict\.__repr__ of ).*') + file_trace, stream_trace = regdict.sub(r'\1{}>', file_trace), regdict.sub(r'\1{}>', stream_trace) + assert file_trace == stream_trace + +if __name__ == '__main__': + logger.removeHandler(stderr_handler) + test_logging(should_trace=False) + detect.trace(True) + test_logging(should_trace=True) + detect.trace(False) + test_logging(should_trace=False) + + loglevel = logging.ERROR + logger.setLevel(loglevel) + with detect.trace(): + stream_trace = test_logging(should_trace=True) + test_logging(should_trace=False) + assert logger.getEffectiveLevel() == loglevel + test_trace_to_file(stream_trace) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_mixins.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_mixins.py new file mode 100644 index 0000000000000000000000000000000000000000..6d67dadedf4cb84773cddb9dbdb3ab919ff8dbaf --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_mixins.py @@ -0,0 +1,121 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import dill +dill.settings['recurse'] = True + + +def wtf(x,y,z): + def zzz(): + return x + def yyy(): + return y + def xxx(): + return z + return zzz,yyy + + +def quad(a=1, b=1, c=0): + inverted = [False] + def invert(): + inverted[0] = not inverted[0] + def dec(f): + def func(*args, **kwds): + x = f(*args, **kwds) + if inverted[0]: x = -x + return a*x**2 + b*x + c + func.__wrapped__ = f + func.invert = invert + func.inverted = inverted + return func + return dec + + +@quad(a=0,b=2) +def double_add(*args): + return sum(args) + + +fx = sum([1,2,3]) + + +### to make it interesting... +def quad_factory(a=1,b=1,c=0): + def dec(f): + def func(*args,**kwds): + fx = f(*args,**kwds) + return a*fx**2 + b*fx + c + return func + return dec + + +@quad_factory(a=0,b=4,c=0) +def quadish(x): + return x+1 + + +quadratic = quad_factory() + + +def doubler(f): + def inner(*args, **kwds): + fx = f(*args, **kwds) + return 2*fx + return inner + + +@doubler +def quadruple(x): + return 2*x + + +def test_mixins(): + # test mixins + assert double_add(1,2,3) == 2*fx + double_add.invert() + assert double_add(1,2,3) == -2*fx + + _d = dill.copy(double_add) + assert _d(1,2,3) == -2*fx + #_d.invert() #FIXME: fails seemingly randomly + #assert _d(1,2,3) == 2*fx + + assert _d.__wrapped__(1,2,3) == fx + + # XXX: issue or feature? in python3.4, inverted is linked through copy + if not double_add.inverted[0]: + double_add.invert() + + # test some stuff from source and pointers + ds = dill.source + dd = dill.detect + assert ds.getsource(dd.freevars(quadish)['f']) == '@quad_factory(a=0,b=4,c=0)\ndef quadish(x):\n return x+1\n' + assert ds.getsource(dd.freevars(quadruple)['f']) == '@doubler\ndef quadruple(x):\n return 2*x\n' + assert ds.importable(quadish, source=False) == 'from %s import quadish\n' % __name__ + assert ds.importable(quadruple, source=False) == 'from %s import quadruple\n' % __name__ + assert ds.importable(quadratic, source=False) == 'from %s import quadratic\n' % __name__ + assert ds.importable(double_add, source=False) == 'from %s import double_add\n' % __name__ + assert ds.importable(quadruple, source=True) == 'def doubler(f):\n def inner(*args, **kwds):\n fx = f(*args, **kwds)\n return 2*fx\n return inner\n\n@doubler\ndef quadruple(x):\n return 2*x\n' + #***** #FIXME: this needs work + result = ds.importable(quadish, source=True) + a,b,c,_,result = result.split('\n',4) + assert result == 'def quad_factory(a=1,b=1,c=0):\n def dec(f):\n def func(*args,**kwds):\n fx = f(*args,**kwds)\n return a*fx**2 + b*fx + c\n return func\n return dec\n\n@quad_factory(a=0,b=4,c=0)\ndef quadish(x):\n return x+1\n' + assert set([a,b,c]) == set(['a = 0', 'c = 0', 'b = 4']) + result = ds.importable(quadratic, source=True) + a,b,c,result = result.split('\n',3) + assert result == '\ndef dec(f):\n def func(*args,**kwds):\n fx = f(*args,**kwds)\n return a*fx**2 + b*fx + c\n return func\n' + assert set([a,b,c]) == set(['a = 1', 'c = 0', 'b = 1']) + result = ds.importable(double_add, source=True) + a,b,c,d,_,result = result.split('\n',5) + assert result == 'def quad(a=1, b=1, c=0):\n inverted = [False]\n def invert():\n inverted[0] = not inverted[0]\n def dec(f):\n def func(*args, **kwds):\n x = f(*args, **kwds)\n if inverted[0]: x = -x\n return a*x**2 + b*x + c\n func.__wrapped__ = f\n func.invert = invert\n func.inverted = inverted\n return func\n return dec\n\n@quad(a=0,b=2)\ndef double_add(*args):\n return sum(args)\n' + assert set([a,b,c,d]) == set(['a = 0', 'c = 0', 'b = 2', 'inverted = [True]']) + #***** + + +if __name__ == '__main__': + test_mixins() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_module.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_module.py new file mode 100644 index 0000000000000000000000000000000000000000..b696d728eb83cb2f146100b3bff1eb33f88440a7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_module.py @@ -0,0 +1,84 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import sys +import dill +import test_mixins as module +from importlib import reload +dill.settings['recurse'] = True + +cached = (module.__cached__ if hasattr(module, "__cached__") + else module.__file__.split(".", 1)[0] + ".pyc") + +module.a = 1234 + +pik_mod = dill.dumps(module) + +module.a = 0 + +# remove module +del sys.modules[module.__name__] +del module + +module = dill.loads(pik_mod) +def test_attributes(): + #assert hasattr(module, "a") and module.a == 1234 #FIXME: -m dill.tests + assert module.double_add(1, 2, 3) == 2 * module.fx + +# Restart, and test use_diff + +reload(module) + +try: + dill.use_diff() + + module.a = 1234 + + pik_mod = dill.dumps(module) + + module.a = 0 + + # remove module + del sys.modules[module.__name__] + del module + + module = dill.loads(pik_mod) + def test_diff_attributes(): + assert hasattr(module, "a") and module.a == 1234 + assert module.double_add(1, 2, 3) == 2 * module.fx + +except AttributeError: + def test_diff_attributes(): + pass + +# clean up +import os +if os.path.exists(cached): + os.remove(cached) +pycache = os.path.join(os.path.dirname(module.__file__), "__pycache__") +if os.path.exists(pycache) and not os.listdir(pycache): + os.removedirs(pycache) + + +# test when module is None +import math + +def get_lambda(str, **kwarg): + return eval(str, kwarg, None) + +obj = get_lambda('lambda x: math.exp(x)', math=math) + +def test_module_is_none(): + assert obj.__module__ is None + assert dill.copy(obj)(3) == obj(3) + + +if __name__ == '__main__': + test_attributes() + test_diff_attributes() + test_module_is_none() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_moduledict.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_moduledict.py new file mode 100644 index 0000000000000000000000000000000000000000..5e6e87b365604ba4286488b7e799c1c9a88bcc14 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_moduledict.py @@ -0,0 +1,54 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import dill +dill.settings['recurse'] = True + +def f(func): + def w(*args): + return f(*args) + return w + +@f +def f2(): pass + +# check when __main__ and on import +def test_decorated(): + assert dill.pickles(f2) + + +import doctest +import logging +logging.basicConfig(level=logging.DEBUG) + +class SomeUnreferencedUnpicklableClass(object): + def __reduce__(self): + raise Exception + +unpicklable = SomeUnreferencedUnpicklableClass() + +# This works fine outside of Doctest: +def test_normal(): + serialized = dill.dumps(lambda x: x) + +# should not try to pickle unpicklable object in __globals__ +def tests(): + """ + >>> serialized = dill.dumps(lambda x: x) + """ + return + +#print("\n\nRunning Doctest:") +def test_doctest(): + doctest.testmod() + + +if __name__ == '__main__': + test_decorated() + test_normal() + test_doctest() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_nested.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_nested.py new file mode 100644 index 0000000000000000000000000000000000000000..9109f55c86b0539632a7bde27e8172c8ba714acd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_nested.py @@ -0,0 +1,135 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +test dill's ability to handle nested functions +""" + +import os +import math + +import dill as pickle +pickle.settings['recurse'] = True + + +# the nested function: pickle should fail here, but dill is ok. +def adder(augend): + zero = [0] + + def inner(addend): + return addend + augend + zero[0] + return inner + + +# rewrite the nested function using a class: standard pickle should work here. +class cadder(object): + def __init__(self, augend): + self.augend = augend + self.zero = [0] + + def __call__(self, addend): + return addend + self.augend + self.zero[0] + + +# rewrite again, but as an old-style class +class c2adder: + def __init__(self, augend): + self.augend = augend + self.zero = [0] + + def __call__(self, addend): + return addend + self.augend + self.zero[0] + + +# some basic class stuff +class basic(object): + pass + + +class basic2: + pass + + +x = 5 +y = 1 + + +def test_basic(): + a = [0, 1, 2] + pa = pickle.dumps(a) + pmath = pickle.dumps(math) #XXX: FAILS in pickle + pmap = pickle.dumps(map) + # ... + la = pickle.loads(pa) + lmath = pickle.loads(pmath) + lmap = pickle.loads(pmap) + assert list(map(math.sin, a)) == list(lmap(lmath.sin, la)) + + +def test_basic_class(): + pbasic2 = pickle.dumps(basic2) + _pbasic2 = pickle.loads(pbasic2)() + pbasic = pickle.dumps(basic) + _pbasic = pickle.loads(pbasic)() + + +def test_c2adder(): + pc2adder = pickle.dumps(c2adder) + pc2add5 = pickle.loads(pc2adder)(x) + assert pc2add5(y) == x+y + + +def test_pickled_cadder(): + pcadder = pickle.dumps(cadder) + pcadd5 = pickle.loads(pcadder)(x) + assert pcadd5(y) == x+y + + +def test_raw_adder_and_inner(): + add5 = adder(x) + assert add5(y) == x+y + + +def test_pickled_adder(): + padder = pickle.dumps(adder) + padd5 = pickle.loads(padder)(x) + assert padd5(y) == x+y + + +def test_pickled_inner(): + add5 = adder(x) + pinner = pickle.dumps(add5) #XXX: FAILS in pickle + p5add = pickle.loads(pinner) + assert p5add(y) == x+y + + +def test_moduledict_where_not_main(): + try: + from . import test_moduledict + except ImportError: + import test_moduledict + name = 'test_moduledict.py' + if os.path.exists(name) and os.path.exists(name+'c'): + os.remove(name+'c') + + if os.path.exists(name) and hasattr(test_moduledict, "__cached__") \ + and os.path.exists(test_moduledict.__cached__): + os.remove(getattr(test_moduledict, "__cached__")) + + if os.path.exists("__pycache__") and not os.listdir("__pycache__"): + os.removedirs("__pycache__") + + +if __name__ == '__main__': + test_basic() + test_basic_class() + test_c2adder() + test_pickled_cadder() + test_raw_adder_and_inner() + test_pickled_adder() + test_pickled_inner() + test_moduledict_where_not_main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_objects.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_objects.py new file mode 100644 index 0000000000000000000000000000000000000000..7db288de0fc313d52f73f70e99a636242f45cc57 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_objects.py @@ -0,0 +1,63 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +demonstrate dill's ability to pickle different python types +test pickling of all Python Standard Library objects (currently: CH 1-14 @ 2.7) +""" + +import dill as pickle +pickle.settings['recurse'] = True +#pickle.detect.trace(True) +#import pickle + +# get all objects for testing +from dill import load_types, objects, extend +load_types(pickleable=True,unpickleable=False) + +# uncomment the next two lines to test cloudpickle +#extend(False) +#import cloudpickle as pickle + +# helper objects +class _class: + def _method(self): + pass + +# objects that *fail* if imported +special = {} +special['LambdaType'] = _lambda = lambda x: lambda y: x +special['MethodType'] = _method = _class()._method +special['UnboundMethodType'] = _class._method +objects.update(special) + +def pickles(name, exact=False, verbose=True): + """quick check if object pickles with dill""" + obj = objects[name] + try: + pik = pickle.loads(pickle.dumps(obj)) + if exact: + try: + assert pik == obj + except AssertionError: + assert type(obj) == type(pik) + if verbose: print ("weak: %s %s" % (name, type(obj))) + else: + assert type(obj) == type(pik) + except Exception: + if verbose: print ("fails: %s %s" % (name, type(obj))) + + +def test_objects(verbose=True): + for member in objects.keys(): + #pickles(member, exact=True, verbose=verbose) + pickles(member, exact=False, verbose=verbose) + +if __name__ == '__main__': + import warnings + warnings.simplefilter('ignore') + test_objects(verbose=False) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_properties.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_properties.py new file mode 100644 index 0000000000000000000000000000000000000000..df3f5b58fac06d7dad962916eccd96f18d835190 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_properties.py @@ -0,0 +1,62 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import sys + +import dill +dill.settings['recurse'] = True + + +class Foo(object): + def __init__(self): + self._data = 1 + + def _get_data(self): + return self._data + + def _set_data(self, x): + self._data = x + + data = property(_get_data, _set_data) + + +def test_data_not_none(): + FooS = dill.copy(Foo) + assert FooS.data.fget is not None + assert FooS.data.fset is not None + assert FooS.data.fdel is None + + +def test_data_unchanged(): + FooS = dill.copy(Foo) + try: + res = FooS().data + except Exception: + e = sys.exc_info()[1] + raise AssertionError(str(e)) + else: + assert res == 1 + + +def test_data_changed(): + FooS = dill.copy(Foo) + try: + f = FooS() + f.data = 1024 + res = f.data + except Exception: + e = sys.exc_info()[1] + raise AssertionError(str(e)) + else: + assert res == 1024 + + +if __name__ == '__main__': + test_data_not_none() + test_data_unchanged() + test_data_changed() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_pycapsule.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_pycapsule.py new file mode 100644 index 0000000000000000000000000000000000000000..34ca00c338e0ad73ab0efe9d2ae8a45c41eda8b9 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_pycapsule.py @@ -0,0 +1,45 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Author: Anirudh Vegesana (avegesan@cs.stanford.edu) +# Copyright (c) 2022-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +test pickling a PyCapsule object +""" + +import dill +import warnings + +test_pycapsule = None + +if dill._dill._testcapsule is not None: + import ctypes + def test_pycapsule(): + name = ctypes.create_string_buffer(b'dill._testcapsule') + capsule = dill._dill._PyCapsule_New( + ctypes.cast(dill._dill._PyCapsule_New, ctypes.c_void_p), + name, + None + ) + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + dill.copy(capsule) + dill._testcapsule = capsule + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + dill.copy(capsule) + dill._testcapsule = None + try: + with warnings.catch_warnings(): + warnings.simplefilter("ignore", dill.PicklingWarning) + dill.copy(capsule) + except dill.UnpicklingError: + pass + else: + raise AssertionError("Expected a different error") + +if __name__ == '__main__': + if test_pycapsule is not None: + test_pycapsule() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_recursive.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_recursive.py new file mode 100644 index 0000000000000000000000000000000000000000..b84f19e4bd5fecadaf4ac1fe63dd08a583e88358 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_recursive.py @@ -0,0 +1,177 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2019-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import dill +from functools import partial +import warnings + + +def copy(obj, byref=False, recurse=False): + if byref: + try: + return dill.copy(obj, byref=byref, recurse=recurse) + except Exception: + pass + else: + raise AssertionError('Copy of %s with byref=True should have given a warning!' % (obj,)) + + warnings.simplefilter('ignore') + val = dill.copy(obj, byref=byref, recurse=recurse) + warnings.simplefilter('error') + return val + else: + return dill.copy(obj, byref=byref, recurse=recurse) + + +class obj1(object): + def __init__(self): + super(obj1, self).__init__() + +class obj2(object): + def __init__(self): + super(obj2, self).__init__() + +class obj3(object): + super_ = super + def __init__(self): + obj3.super_(obj3, self).__init__() + + +def test_super(): + assert copy(obj1(), byref=True) + assert copy(obj1(), byref=True, recurse=True) + assert copy(obj1(), recurse=True) + assert copy(obj1()) + + assert copy(obj2(), byref=True) + assert copy(obj2(), byref=True, recurse=True) + assert copy(obj2(), recurse=True) + assert copy(obj2()) + + assert copy(obj3(), byref=True) + assert copy(obj3(), byref=True, recurse=True) + assert copy(obj3(), recurse=True) + assert copy(obj3()) + + +def get_trigger(model): + pass + +class Machine(object): + def __init__(self): + self.child = Model() + self.trigger = partial(get_trigger, self) + self.child.trigger = partial(get_trigger, self.child) + +class Model(object): + pass + + + +def test_partial(): + assert copy(Machine(), byref=True) + assert copy(Machine(), byref=True, recurse=True) + assert copy(Machine(), recurse=True) + assert copy(Machine()) + + +class Machine2(object): + def __init__(self): + self.go = partial(self.member, self) + def member(self, model): + pass + + +class SubMachine(Machine2): + def __init__(self): + super(SubMachine, self).__init__() + + +def test_partials(): + assert copy(SubMachine(), byref=True) + assert copy(SubMachine(), byref=True, recurse=True) + assert copy(SubMachine(), recurse=True) + assert copy(SubMachine()) + + +class obj4(object): + def __init__(self): + super(obj4, self).__init__() + a = self + class obj5(object): + def __init__(self): + super(obj5, self).__init__() + self.a = a + self.b = obj5() + + +def test_circular_reference(): + assert copy(obj4()) + obj4_copy = dill.loads(dill.dumps(obj4())) + assert type(obj4_copy) is type(obj4_copy).__init__.__closure__[0].cell_contents + assert type(obj4_copy.b) is type(obj4_copy.b).__init__.__closure__[0].cell_contents + + +def f(): + def g(): + return g + return g + + +def test_function_cells(): + assert copy(f()) + + +def fib(n): + assert n >= 0 + if n <= 1: + return n + else: + return fib(n-1) + fib(n-2) + + +def test_recursive_function(): + global fib + fib2 = copy(fib, recurse=True) + fib3 = copy(fib) + fib4 = fib + del fib + assert fib2(5) == 5 + for _fib in (fib3, fib4): + try: + _fib(5) + except Exception: + # This is expected to fail because fib no longer exists + pass + else: + raise AssertionError("Function fib shouldn't have been found") + fib = fib4 + + +def collection_function_recursion(): + d = {} + def g(): + return d + d['g'] = g + return g + + +def test_collection_function_recursion(): + g = copy(collection_function_recursion()) + assert g()['g'] is g + + +if __name__ == '__main__': + with warnings.catch_warnings(): + warnings.simplefilter('error') + test_super() + test_partial() + test_partials() + test_circular_reference() + test_function_cells() + test_recursive_function() + test_collection_function_recursion() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_registered.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_registered.py new file mode 100644 index 0000000000000000000000000000000000000000..393e2f3ea68627f79e91710934351a76f281ff5b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_registered.py @@ -0,0 +1,64 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2022-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +test pickling registered objects +""" + +import dill +from dill._objects import failures, registered, succeeds +import warnings +warnings.filterwarnings('ignore') + +def check(d, ok=True): + res = [] + for k,v in d.items(): + try: + z = dill.copy(v) + if ok: res.append(k) + except: + if not ok: res.append(k) + return res + +fails = check(failures) +try: + assert not bool(fails) +except AssertionError as e: + print("FAILS: %s" % fails) + raise e from None + +register = check(registered, ok=False) +try: + assert not bool(register) +except AssertionError as e: + print("REGISTER: %s" % register) + raise e from None + +success = check(succeeds, ok=False) +try: + assert not bool(success) +except AssertionError as e: + print("SUCCESS: %s" % success) + raise e from None + +import builtins +import types +q = dill._dill._reverse_typemap +p = {k:v for k,v in q.items() if k not in vars(builtins) and k not in vars(types)} + +diff = set(p.keys()).difference(registered.keys()) +try: + assert not bool(diff) +except AssertionError as e: + print("DIFF: %s" % diff) + raise e from None + +miss = set(registered.keys()).difference(p.keys()) +try: + assert not bool(miss) +except AssertionError as e: + print("MISS: %s" % miss) + raise e from None diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_restricted.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_restricted.py new file mode 100644 index 0000000000000000000000000000000000000000..cdb773e36df6304e44c5a883f9f4e5beaee0d674 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_restricted.py @@ -0,0 +1,27 @@ +#!/usr/bin/env python +# +# Author: Kirill Makhonin (@kirillmakhonin) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import dill + +class RestrictedType: + def __bool__(*args, **kwargs): + raise Exception('Restricted function') + + __eq__ = __lt__ = __le__ = __ne__ = __gt__ = __ge__ = __hash__ = __bool__ + +glob_obj = RestrictedType() + +def restricted_func(): + a = glob_obj + +def test_function_with_restricted_object(): + deserialized = dill.loads(dill.dumps(restricted_func, recurse=True)) + + +if __name__ == '__main__': + test_function_with_restricted_object() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_selected.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_selected.py new file mode 100644 index 0000000000000000000000000000000000000000..d8db5c04578c98531237188bb4b425e6e0e4d92e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_selected.py @@ -0,0 +1,125 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE +""" +testing some selected object types +""" + +import dill +dill.settings['recurse'] = True + +verbose = False + +def test_dict_contents(): + c = type.__dict__ + for i,j in c.items(): + #try: + ok = dill.pickles(j) + #except Exception: + # print ("FAIL: %s with %s" % (i, dill.detect.errors(j))) + if verbose: print ("%s: %s, %s" % (ok, type(j), j)) + assert ok + if verbose: print ("") + +def _g(x): yield x; + +def _f(): + try: raise + except Exception: + from sys import exc_info + e, er, tb = exc_info() + return er, tb + +class _d(object): + def _method(self): + pass + +from dill import objects +from dill import load_types +load_types(pickleable=True,unpickleable=False) +_newclass = objects['ClassObjectType'] +# some clean-up #FIXME: should happen internal to dill +objects['TemporaryFileType'].close() +objects['TextWrapperType'].close() +objects['BufferedRandomType'].close() +objects['BufferedReaderType'].close() +objects['BufferedWriterType'].close() +objects['FileType'].close() +del objects + +# getset_descriptor for new-style classes (fails on '_method', if not __main__) +def test_class_descriptors(): + d = _d.__dict__ + for i in d.values(): + ok = dill.pickles(i) + if verbose: print ("%s: %s, %s" % (ok, type(i), i)) + assert ok + if verbose: print ("") + od = _newclass.__dict__ + for i in od.values(): + ok = dill.pickles(i) + if verbose: print ("%s: %s, %s" % (ok, type(i), i)) + assert ok + if verbose: print ("") + +# (__main__) class instance for new-style classes +def test_class(): + o = _d() + oo = _newclass() + ok = dill.pickles(o) + if verbose: print ("%s: %s, %s" % (ok, type(o), o)) + assert ok + ok = dill.pickles(oo) + if verbose: print ("%s: %s, %s" % (ok, type(oo), oo)) + assert ok + if verbose: print ("") + +# frames, generators, and tracebacks (all depend on frame) +def test_frame_related(): + g = _g(1) + f = g.gi_frame + e,t = _f() + _is = lambda ok: ok + ok = dill.pickles(f) + if verbose: print ("%s: %s, %s" % (ok, type(f), f)) + assert not ok + ok = dill.pickles(g) + if verbose: print ("%s: %s, %s" % (ok, type(g), g)) + assert _is(not ok) #XXX: dill fails + ok = dill.pickles(t) + if verbose: print ("%s: %s, %s" % (ok, type(t), t)) + assert not ok #XXX: dill fails + ok = dill.pickles(e) + if verbose: print ("%s: %s, %s" % (ok, type(e), e)) + assert ok + if verbose: print ("") + +def test_typing(): + import typing + x = typing.Any + assert x == dill.copy(x) + x = typing.Dict[int, str] + assert x == dill.copy(x) + x = typing.List[int] + assert x == dill.copy(x) + x = typing.Tuple[int, str] + assert x == dill.copy(x) + x = typing.Tuple[int] + assert x == dill.copy(x) + x = typing.Tuple[()] + assert x == dill.copy(x) + x = typing.Tuple[()].copy_with(()) + assert x == dill.copy(x) + return + + +if __name__ == '__main__': + test_frame_related() + test_dict_contents() + test_class() + test_class_descriptors() + test_typing() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_session.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_session.py new file mode 100644 index 0000000000000000000000000000000000000000..200642def22c82d15ccc5fc737f7106b93740084 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_session.py @@ -0,0 +1,280 @@ +#!/usr/bin/env python + +# Author: Leonardo Gama (@leogama) +# Copyright (c) 2022-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import atexit +import os +import sys +import __main__ +from contextlib import suppress +from io import BytesIO + +import dill + +session_file = os.path.join(os.path.dirname(__file__), 'session-refimported-%s.pkl') + +################### +# Child process # +################### + +def _error_line(error, obj, refimported): + import traceback + line = traceback.format_exc().splitlines()[-2].replace('[obj]', '['+repr(obj)+']') + return "while testing (with refimported=%s): %s" % (refimported, line.lstrip()) + +if __name__ == '__main__' and len(sys.argv) >= 3 and sys.argv[1] == '--child': + # Test session loading in a fresh interpreter session. + refimported = (sys.argv[2] == 'True') + dill.load_module(session_file % refimported, module='__main__') + + def test_modules(refimported): + # FIXME: In this test setting with CPython 3.7, 'calendar' is not included + # in sys.modules, independent of the value of refimported. Tried to + # run garbage collection just before loading the session with no luck. It + # fails even when preceding them with 'import calendar'. Needed to run + # these kinds of tests in a supbrocess. Failing test sample: + # assert globals()['day_name'] is sys.modules['calendar'].__dict__['day_name'] + try: + for obj in ('json', 'url', 'local_mod', 'sax', 'dom'): + assert globals()[obj].__name__ in sys.modules + assert 'calendar' in sys.modules and 'cmath' in sys.modules + import calendar, cmath + + for obj in ('Calendar', 'isleap'): + assert globals()[obj] is sys.modules['calendar'].__dict__[obj] + assert __main__.day_name.__module__ == 'calendar' + if refimported: + assert __main__.day_name is calendar.day_name + + assert __main__.complex_log is cmath.log + + except AssertionError as error: + error.args = (_error_line(error, obj, refimported),) + raise + + test_modules(refimported) + sys.exit() + +#################### +# Parent process # +#################### + +# Create various kinds of objects to test different internal logics. + +## Modules. +import json # top-level module +import urllib as url # top-level module under alias +from xml import sax # submodule +import xml.dom.minidom as dom # submodule under alias +import test_dictviews as local_mod # non-builtin top-level module + +## Imported objects. +from calendar import Calendar, isleap, day_name # class, function, other object +from cmath import log as complex_log # imported with alias + +## Local objects. +x = 17 +empty = None +names = ['Alice', 'Bob', 'Carol'] +def squared(x): return x**2 +cubed = lambda x: x**3 +class Person: + def __init__(self, name, age): + self.name = name + self.age = age +person = Person(names[0], x) +class CalendarSubclass(Calendar): + def weekdays(self): + return [day_name[i] for i in self.iterweekdays()] +cal = CalendarSubclass() +selfref = __main__ + +# Setup global namespace for session saving tests. +class TestNamespace: + test_globals = globals().copy() + def __init__(self, **extra): + self.extra = extra + def __enter__(self): + self.backup = globals().copy() + globals().clear() + globals().update(self.test_globals) + globals().update(self.extra) + return self + def __exit__(self, *exc_info): + globals().clear() + globals().update(self.backup) + +def _clean_up_cache(module): + cached = module.__file__.split('.', 1)[0] + '.pyc' + cached = module.__cached__ if hasattr(module, '__cached__') else cached + pycache = os.path.join(os.path.dirname(module.__file__), '__pycache__') + for remove, file in [(os.remove, cached), (os.removedirs, pycache)]: + with suppress(OSError): + remove(file) + +atexit.register(_clean_up_cache, local_mod) + +def _test_objects(main, globals_copy, refimported): + try: + main_dict = __main__.__dict__ + global Person, person, Calendar, CalendarSubclass, cal, selfref + + for obj in ('json', 'url', 'local_mod', 'sax', 'dom'): + assert globals()[obj].__name__ == globals_copy[obj].__name__ + + for obj in ('x', 'empty', 'names'): + assert main_dict[obj] == globals_copy[obj] + + for obj in ['squared', 'cubed']: + assert main_dict[obj].__globals__ is main_dict + assert main_dict[obj](3) == globals_copy[obj](3) + + assert Person.__module__ == __main__.__name__ + assert isinstance(person, Person) + assert person.age == globals_copy['person'].age + + assert issubclass(CalendarSubclass, Calendar) + assert isinstance(cal, CalendarSubclass) + assert cal.weekdays() == globals_copy['cal'].weekdays() + + assert selfref is __main__ + + except AssertionError as error: + error.args = (_error_line(error, obj, refimported),) + raise + +def test_session_main(refimported): + """test dump/load_module() for __main__, both in this process and in a subprocess""" + extra_objects = {} + if refimported: + # Test unpickleable imported object in main. + from sys import flags + extra_objects['flags'] = flags + + with TestNamespace(**extra_objects) as ns: + try: + # Test session loading in a new session. + dill.dump_module(session_file % refimported, refimported=refimported) + from dill.tests.__main__ import python, shell, sp + error = sp.call([python, __file__, '--child', str(refimported)], shell=shell) + if error: sys.exit(error) + finally: + with suppress(OSError): + os.remove(session_file % refimported) + + # Test session loading in the same session. + session_buffer = BytesIO() + dill.dump_module(session_buffer, refimported=refimported) + session_buffer.seek(0) + dill.load_module(session_buffer, module='__main__') + ns.backup['_test_objects'](__main__, ns.backup, refimported) + +def test_session_other(): + """test dump/load_module() for a module other than __main__""" + import test_classdef as module + atexit.register(_clean_up_cache, module) + module.selfref = module + dict_objects = [obj for obj in module.__dict__.keys() if not obj.startswith('__')] + + session_buffer = BytesIO() + dill.dump_module(session_buffer, module) + + for obj in dict_objects: + del module.__dict__[obj] + + session_buffer.seek(0) + dill.load_module(session_buffer, module) + + assert all(obj in module.__dict__ for obj in dict_objects) + assert module.selfref is module + +def test_runtime_module(): + from types import ModuleType + modname = '__runtime__' + runtime = ModuleType(modname) + runtime.x = 42 + + mod = dill.session._stash_modules(runtime) + if mod is not runtime: + print("There are objects to save by referenece that shouldn't be:", + mod.__dill_imported, mod.__dill_imported_as, mod.__dill_imported_top_level, + file=sys.stderr) + + # This is also for code coverage, tests the use case of dump_module(refimported=True) + # without imported objects in the namespace. It's a contrived example because + # even dill can't be in it. This should work after fixing #462. + session_buffer = BytesIO() + dill.dump_module(session_buffer, module=runtime, refimported=True) + session_dump = session_buffer.getvalue() + + # Pass a new runtime created module with the same name. + runtime = ModuleType(modname) # empty + return_val = dill.load_module(BytesIO(session_dump), module=runtime) + assert return_val is None + assert runtime.__name__ == modname + assert runtime.x == 42 + assert runtime not in sys.modules.values() + + # Pass nothing as main. load_module() must create it. + session_buffer.seek(0) + runtime = dill.load_module(BytesIO(session_dump)) + assert runtime.__name__ == modname + assert runtime.x == 42 + assert runtime not in sys.modules.values() + +def test_refimported_imported_as(): + import collections + import concurrent.futures + import types + import typing + mod = sys.modules['__test__'] = types.ModuleType('__test__') + dill.executor = concurrent.futures.ThreadPoolExecutor(max_workers=1) + mod.Dict = collections.UserDict # select by type + mod.AsyncCM = typing.AsyncContextManager # select by __module__ + mod.thread_exec = dill.executor # select by __module__ with regex + + session_buffer = BytesIO() + dill.dump_module(session_buffer, mod, refimported=True) + session_buffer.seek(0) + mod = dill.load(session_buffer) + del sys.modules['__test__'] + + assert set(mod.__dill_imported_as) == { + ('collections', 'UserDict', 'Dict'), + ('typing', 'AsyncContextManager', 'AsyncCM'), + ('dill', 'executor', 'thread_exec'), + } + +def test_load_module_asdict(): + with TestNamespace(): + session_buffer = BytesIO() + dill.dump_module(session_buffer) + + global empty, names, x, y + x = y = 0 # change x and create y + del empty + globals_state = globals().copy() + + session_buffer.seek(0) + main_vars = dill.load_module_asdict(session_buffer) + + assert main_vars is not globals() + assert globals() == globals_state + + assert main_vars['__name__'] == '__main__' + assert main_vars['names'] == names + assert main_vars['names'] is not names + assert main_vars['x'] != x + assert 'y' not in main_vars + assert 'empty' in main_vars + +if __name__ == '__main__': + test_session_main(refimported=False) + test_session_main(refimported=True) + test_session_other() + test_runtime_module() + test_refimported_imported_as() + test_load_module_asdict() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_source.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_source.py new file mode 100644 index 0000000000000000000000000000000000000000..8771a542a27a15140139b3de6645d9bdd0615eed --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_source.py @@ -0,0 +1,154 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +from dill.source import getsource, getname, _wrap, likely_import +from dill.source import getimportable +from dill._dill import IS_PYPY + +import sys +PY310b = 0x30a00b1 + +f = lambda x: x**2 +def g(x): return f(x) - x + +def h(x): + def g(x): return x + return g(x) - x + +class Foo(object): + def bar(self, x): + return x*x+x +_foo = Foo() + +def add(x,y): + return x+y + +# yes, same as 'f', but things are tricky when it comes to pointers +squared = lambda x:x**2 + +class Bar: + pass +_bar = Bar() + + # inspect.getsourcelines # dill.source.getblocks +def test_getsource(): + assert getsource(f) == 'f = lambda x: x**2\n' + assert getsource(g) == 'def g(x): return f(x) - x\n' + assert getsource(h) == 'def h(x):\n def g(x): return x\n return g(x) - x\n' + assert getname(f) == 'f' + assert getname(g) == 'g' + assert getname(h) == 'h' + assert _wrap(f)(4) == 16 + assert _wrap(g)(4) == 12 + assert _wrap(h)(4) == 0 + + assert getname(Foo) == 'Foo' + assert getname(Bar) == 'Bar' + assert getsource(Bar) == 'class Bar:\n pass\n' + assert getsource(Foo) == 'class Foo(object):\n def bar(self, x):\n return x*x+x\n' + #XXX: add getsource for _foo, _bar + +# test itself +def test_itself(): + assert likely_import(likely_import)=='from dill.source import likely_import\n' + +# builtin functions and objects +def test_builtin(): + assert likely_import(pow) == 'pow\n' + assert likely_import(100) == '100\n' + assert likely_import(True) == 'True\n' + assert likely_import(pow, explicit=True) == 'from builtins import pow\n' + assert likely_import(100, explicit=True) == '100\n' + assert likely_import(True, explicit=True) == 'True\n' + # this is kinda BS... you can't import a None + assert likely_import(None) == 'None\n' + assert likely_import(None, explicit=True) == 'None\n' + + +# other imported functions +def test_imported(): + from math import sin + assert likely_import(sin) == 'from math import sin\n' + +# interactively defined functions +def test_dynamic(): + assert likely_import(add) == 'from %s import add\n' % __name__ + # interactive lambdas + assert likely_import(squared) == 'from %s import squared\n' % __name__ + +# classes and class instances +def test_classes(): + from io import BytesIO as StringIO + y = "from _io import BytesIO\n" + x = y if (IS_PYPY or sys.hexversion >= PY310b) else "from io import BytesIO\n" + s = StringIO() + + assert likely_import(StringIO) == x + assert likely_import(s) == y + # interactively defined classes and class instances + assert likely_import(Foo) == 'from %s import Foo\n' % __name__ + assert likely_import(_foo) == 'from %s import Foo\n' % __name__ + + +# test getimportable +def test_importable(): + assert getimportable(add) == 'from %s import add\n' % __name__ + assert getimportable(squared) == 'from %s import squared\n' % __name__ + assert getimportable(Foo) == 'from %s import Foo\n' % __name__ + assert getimportable(Foo.bar) == 'from %s import bar\n' % __name__ + assert getimportable(_foo.bar) == 'from %s import bar\n' % __name__ + assert getimportable(None) == 'None\n' + assert getimportable(100) == '100\n' + + assert getimportable(add, byname=False) == 'def add(x,y):\n return x+y\n' + assert getimportable(squared, byname=False) == 'squared = lambda x:x**2\n' + assert getimportable(None, byname=False) == 'None\n' + assert getimportable(Bar, byname=False) == 'class Bar:\n pass\n' + assert getimportable(Foo, byname=False) == 'class Foo(object):\n def bar(self, x):\n return x*x+x\n' + assert getimportable(Foo.bar, byname=False) == 'def bar(self, x):\n return x*x+x\n' + assert getimportable(Foo.bar, byname=True) == 'from %s import bar\n' % __name__ + assert getimportable(Foo.bar, alias='memo', byname=True) == 'from %s import bar as memo\n' % __name__ + assert getimportable(Foo, alias='memo', byname=True) == 'from %s import Foo as memo\n' % __name__ + assert getimportable(squared, alias='memo', byname=True) == 'from %s import squared as memo\n' % __name__ + assert getimportable(squared, alias='memo', byname=False) == 'memo = squared = lambda x:x**2\n' + assert getimportable(add, alias='memo', byname=False) == 'def add(x,y):\n return x+y\n\nmemo = add\n' + assert getimportable(None, alias='memo', byname=False) == 'memo = None\n' + assert getimportable(100, alias='memo', byname=False) == 'memo = 100\n' + assert getimportable(add, explicit=True) == 'from %s import add\n' % __name__ + assert getimportable(squared, explicit=True) == 'from %s import squared\n' % __name__ + assert getimportable(Foo, explicit=True) == 'from %s import Foo\n' % __name__ + assert getimportable(Foo.bar, explicit=True) == 'from %s import bar\n' % __name__ + assert getimportable(_foo.bar, explicit=True) == 'from %s import bar\n' % __name__ + assert getimportable(None, explicit=True) == 'None\n' + assert getimportable(100, explicit=True) == '100\n' + + +def test_numpy(): + try: + from numpy import array + x = array([1,2,3]) + assert getimportable(x) == 'from numpy import array\narray([1, 2, 3])\n' + assert getimportable(array) == 'from %s import array\n' % array.__module__ + assert getimportable(x, byname=False) == 'from numpy import array\narray([1, 2, 3])\n' + assert getimportable(array, byname=False) == 'from %s import array\n' % array.__module__ + except ImportError: pass + +#NOTE: if before likely_import(pow), will cause pow to throw AssertionError +def test_foo(): + assert getimportable(_foo, byname=False).startswith("import dill\nclass Foo(object):\n def bar(self, x):\n return x*x+x\ndill.loads(") + +if __name__ == '__main__': + test_getsource() + test_itself() + test_builtin() + test_imported() + test_dynamic() + test_classes() + test_importable() + test_numpy() + test_foo() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_temp.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_temp.py new file mode 100644 index 0000000000000000000000000000000000000000..30ae35a31b0c6f468a9602387f22cddd93ead4f0 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_temp.py @@ -0,0 +1,103 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import sys +from dill.temp import dump, dump_source, dumpIO, dumpIO_source +from dill.temp import load, load_source, loadIO, loadIO_source +WINDOWS = sys.platform[:3] == 'win' + + +f = lambda x: x**2 +x = [1,2,3,4,5] + +# source code to tempfile +def test_code_to_tempfile(): + if not WINDOWS: #see: https://bugs.python.org/issue14243 + pyfile = dump_source(f, alias='_f') + _f = load_source(pyfile) + assert _f(4) == f(4) + +# source code to stream +def test_code_to_stream(): + pyfile = dumpIO_source(f, alias='_f') + _f = loadIO_source(pyfile) + assert _f(4) == f(4) + +# pickle to tempfile +def test_pickle_to_tempfile(): + if not WINDOWS: #see: https://bugs.python.org/issue14243 + dumpfile = dump(x) + _x = load(dumpfile) + assert _x == x + +# pickle to stream +def test_pickle_to_stream(): + dumpfile = dumpIO(x) + _x = loadIO(dumpfile) + assert _x == x + +### now testing the objects ### +f = lambda x: x**2 +def g(x): return f(x) - x + +def h(x): + def g(x): return x + return g(x) - x + +class Foo(object): + def bar(self, x): + return x*x+x +_foo = Foo() + +def add(x,y): + return x+y + +# yes, same as 'f', but things are tricky when it comes to pointers +squared = lambda x:x**2 + +class Bar: + pass +_bar = Bar() + + +# test function-type objects that take 2 args +def test_two_arg_functions(): + for obj in [add]: + pyfile = dumpIO_source(obj, alias='_obj') + _obj = loadIO_source(pyfile) + assert _obj(4,2) == obj(4,2) + +# test function-type objects that take 1 arg +def test_one_arg_functions(): + for obj in [g, h, squared]: + pyfile = dumpIO_source(obj, alias='_obj') + _obj = loadIO_source(pyfile) + assert _obj(4) == obj(4) + +# test instance-type objects +#for obj in [_bar, _foo]: +# pyfile = dumpIO_source(obj, alias='_obj') +# _obj = loadIO_source(pyfile) +# assert type(_obj) == type(obj) + +# test the rest of the objects +def test_the_rest(): + for obj in [Bar, Foo, Foo.bar, _foo.bar]: + pyfile = dumpIO_source(obj, alias='_obj') + _obj = loadIO_source(pyfile) + assert _obj.__name__ == obj.__name__ + + +if __name__ == '__main__': + test_code_to_tempfile() + test_code_to_stream() + test_pickle_to_tempfile() + test_pickle_to_stream() + test_two_arg_functions() + test_one_arg_functions() + test_the_rest() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_weakref.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_weakref.py new file mode 100644 index 0000000000000000000000000000000000000000..df5cbce9309e45b56a84b1d605f69586b68876cf --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/dill/tests/test_weakref.py @@ -0,0 +1,72 @@ +#!/usr/bin/env python +# +# Author: Mike McKerns (mmckerns @caltech and @uqfoundation) +# Copyright (c) 2008-2016 California Institute of Technology. +# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. +# License: 3-clause BSD. The full license text is available at: +# - https://github.com/uqfoundation/dill/blob/master/LICENSE + +import dill +dill.settings['recurse'] = True +import weakref + +class _class: + def _method(self): + pass + +class _callable_class: + def __call__(self): + pass + +def _function(): + pass + + +def test_weakref(): + o = _class() + oc = _callable_class() + f = _function + x = _class + + # ReferenceType + r = weakref.ref(o) + d_r = weakref.ref(_class()) + fr = weakref.ref(f) + xr = weakref.ref(x) + + # ProxyType + p = weakref.proxy(o) + d_p = weakref.proxy(_class()) + + # CallableProxyType + cp = weakref.proxy(oc) + d_cp = weakref.proxy(_callable_class()) + fp = weakref.proxy(f) + xp = weakref.proxy(x) + + objlist = [r,d_r,fr,xr, p,d_p, cp,d_cp,fp,xp] + #dill.detect.trace(True) + + for obj in objlist: + res = dill.detect.errors(obj) + if res: + print ("%r:\n %s" % (obj, res)) + # else: + # print ("PASS: %s" % obj) + assert not res + +def test_dictproxy(): + from dill._dill import DictProxyType + try: + m = DictProxyType({"foo": "bar"}) + except Exception: + m = type.__dict__ + mp = dill.copy(m) + assert mp.items() == m.items() + + +if __name__ == '__main__': + test_weakref() + from dill._dill import IS_PYPY + if not IS_PYPY: + test_dictproxy() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/distutils-precedence.pth b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/distutils-precedence.pth new file mode 100644 index 0000000000000000000000000000000000000000..c659194195f07bd6f19b5522515551309af14a3d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/distutils-precedence.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2638ce9e2500e572a5e0de7faed6661eb569d1b696fcba07b0dd223da5f5d224 +size 151 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..cb156e638fb958fedd1323631c6d5dddc0936b32 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/METADATA @@ -0,0 +1,394 @@ +Metadata-Version: 2.4 +Name: einops +Version: 0.8.2 +Summary: A new flavour of deep learning operations +Project-URL: Homepage, https://github.com/arogozhnikov/einops +Author: Alex Rogozhnikov +License: MIT +License-File: LICENSE +Keywords: deep learning,einops,machine learning,neural networks,scientific computations,tensor manipulation +Classifier: Intended Audience :: Science/Research +Classifier: License :: OSI Approved :: MIT License +Classifier: Programming Language :: Python :: 3 +Requires-Python: >=3.9 +Description-Content-Type: text/markdown + + + + + + +https://user-images.githubusercontent.com/6318811/177030658-66f0eb5d-e136-44d8-99c9-86ae298ead5b.mp4 + + + + +# einops +[![Run tests](https://github.com/arogozhnikov/einops/actions/workflows/run_tests.yml/badge.svg)](https://github.com/arogozhnikov/einops/actions/workflows/run_tests.yml) +[![PyPI version](https://badge.fury.io/py/einops.svg)](https://badge.fury.io/py/einops) +[![Documentation](https://img.shields.io/badge/documentation-link-blue.svg)](https://einops.rocks/) +![Supported python versions](https://raw.githubusercontent.com/arogozhnikov/einops/main/docs/resources/python_badge.svg) + + +Flexible and powerful tensor operations for readable and reliable code.
        +Supports numpy, pytorch, tensorflow, jax, and [others](#supported-frameworks). + +## Recent updates: + +- 0.8.0: tinygrad backend added, small fixes +- 0.7.0: no-hassle `torch.compile`, support of [array api standard](https://data-apis.org/array-api/latest/API_specification/index.html) and more +- 10'000🎉: github reports that more than 10k project use einops +- einops 0.6.1: paddle backend added +- einops 0.6 introduces [packing and unpacking](https://github.com/arogozhnikov/einops/blob/main/docs/4-pack-and-unpack.ipynb) +- einops 0.5: einsum is now a part of einops +- [Einops paper](https://openreview.net/pdf?id=oapKSVM2bcj) is accepted for oral presentation at ICLR 2022 (yes, it worth reading). + Talk recordings are [available](https://iclr.cc/virtual/2022/oral/6603) + + +
        +Previous updates +- flax and oneflow backend added +- torch.jit.script is supported for pytorch layers +- powerful EinMix added to einops. [Einmix tutorial notebook](https://github.com/arogozhnikov/einops/blob/main/docs/3-einmix-layer.ipynb) +
        + + + + +## Tweets + +> In case you need convincing arguments for setting aside time to learn about einsum and einops... +[Tim Rocktäschel](https://twitter.com/_rockt/status/1230818967205425152) + +> Writing better code with PyTorch and einops 👌 +[Andrej Karpathy](https://twitter.com/karpathy/status/1290826075916779520) + +> Slowly but surely, einops is seeping in to every nook and cranny of my code. If you find yourself shuffling around bazillion dimensional tensors, this might change your life +[Nasim Rahaman](https://twitter.com/nasim_rahaman/status/1216022614755463169) + +[More testimonials](https://einops.rocks/pages/testimonials/) + + +## Contents + +- [Installation](#Installation) +- [Documentation](https://einops.rocks/) +- [Tutorial](#Tutorials) +- [API micro-reference](#API) +- [Why use einops](#Why-use-einops-notation) +- [Supported frameworks](#Supported-frameworks) +- [Citing](#Citing) +- [Repository](https://github.com/arogozhnikov/einops) and [discussions](https://github.com/arogozhnikov/einops/discussions) + +## Installation + +Plain and simple: +```bash +pip install einops +``` + +(`uv pip install einops` works as well) + +## Tutorials + +Tutorials are the most convenient way to see `einops` in action + +- part 1: [einops fundamentals](https://github.com/arogozhnikov/einops/blob/main/docs/1-einops-basics.ipynb) +- part 2: [einops for deep learning](https://github.com/arogozhnikov/einops/blob/main/docs/2-einops-for-deep-learning.ipynb) +- part 3: [packing and unpacking](https://github.com/arogozhnikov/einops/blob/main/docs/4-pack-and-unpack.ipynb) +- part 4: [improve pytorch code with einops](http://einops.rocks/pytorch-examples.html) + +Kapil Sachdeva recorded a small [intro to einops](https://www.youtube.com/watch?v=xGy75Pjsqzo). + +## API + +`einops` has a minimalistic yet powerful API. + +Three core operations provided ([einops tutorial](https://github.com/arogozhnikov/einops/blob/main/docs/) +shows those cover stacking, reshape, transposition, squeeze/unsqueeze, repeat, tile, concatenate, view and numerous reductions) + +```python +from einops import rearrange, reduce, repeat +# rearrange elements according to the pattern +output_tensor = rearrange(input_tensor, 't b c -> b c t') +# combine rearrangement and reduction +output_tensor = reduce(input_tensor, 'b c (h h2) (w w2) -> b h w c', 'mean', h2=2, w2=2) +# copy along a new axis +output_tensor = repeat(input_tensor, 'h w -> h w c', c=3) +``` + +Later additions to the family are `pack` and `unpack` functions (better than stack/split/concatenate): + +```python +from einops import pack, unpack +# pack and unpack allow reversibly 'packing' multiple tensors into one. +# Packed tensors may be of different dimensionality: +packed, ps = pack([class_token_bc, image_tokens_bhwc, text_tokens_btc], 'b * c') +class_emb_bc, image_emb_bhwc, text_emb_btc = unpack(transformer(packed), ps, 'b * c') +``` + +Finally, einops provides einsum with a support of multi-lettered names: + +```python +from einops import einsum, pack, unpack +# einsum is like ... einsum, generic and flexible dot-product +# but 1) axes can be multi-lettered 2) pattern goes last 3) works with multiple frameworks +C = einsum(A, B, 'b t1 head c, b t2 head c -> b head t1 t2') +``` + +### EinMix + +`EinMix` is a generic linear layer, perfect for MLP Mixers and similar architectures. + +### Layers + +Einops provides layers (`einops` keeps a separate version for each framework) that reflect corresponding functions + +```python +from einops.layers.torch import Rearrange, Reduce +from einops.layers.tensorflow import Rearrange, Reduce +from einops.layers.flax import Rearrange, Reduce +from einops.layers.paddle import Rearrange, Reduce +``` + +
        +Example of using layers within a pytorch model +Example given for pytorch, but code in other frameworks is almost identical + +```python +from torch.nn import Sequential, Conv2d, MaxPool2d, Linear, ReLU +from einops.layers.torch import Rearrange + +model = Sequential( + ..., + Conv2d(6, 16, kernel_size=5), + MaxPool2d(kernel_size=2), + # flattening without need to write forward + Rearrange('b c h w -> b (c h w)'), + Linear(16*5*5, 120), + ReLU(), + Linear(120, 10), +) +``` + +No more flatten needed! + +Additionally, torch layers as those are script-able and compile-able. +Operations [are torch.compile-able](https://github.com/arogozhnikov/einops/wiki/Using-torch.compile-with-einops), + but not script-able due to limitations of torch.jit.script. +
        + + + + +## Naming + +`einops` stands for Einstein-Inspired Notation for operations +(though "Einstein operations" is more attractive and easier to remember). + +Notation was loosely inspired by Einstein summation (in particular by `numpy.einsum` operation). + +## Why use `einops` notation?! + + +### Semantic information (being verbose in expectations) + +```python +y = x.view(x.shape[0], -1) +y = rearrange(x, 'b c h w -> b (c h w)') +``` +While these two lines are doing the same job in *some* context, +the second one provides information about the input and output. +In other words, `einops` focuses on interface: *what is the input and output*, not *how* the output is computed. + +The next operation looks similar: + +```python +y = rearrange(x, 'time c h w -> time (c h w)') +``` +but it gives the reader a hint: +this is not an independent batch of images we are processing, +but rather a sequence (video). + +Semantic information makes the code easier to read and maintain. + +### Convenient checks + +Reconsider the same example: + +```python +y = x.view(x.shape[0], -1) # x: (batch, 256, 19, 19) +y = rearrange(x, 'b c h w -> b (c h w)') +``` +The second line checks that the input has four dimensions, +but you can also specify particular dimensions. +That's opposed to just writing comments about shapes since comments don't prevent mistakes, +not tested, and without code review tend to be outdated +```python +y = x.view(x.shape[0], -1) # x: (batch, 256, 19, 19) +y = rearrange(x, 'b c h w -> b (c h w)', c=256, h=19, w=19) +``` + +### Result is strictly determined + +Below we have at least two ways to define the depth-to-space operation +```python +# depth-to-space +rearrange(x, 'b c (h h2) (w w2) -> b (c h2 w2) h w', h2=2, w2=2) +rearrange(x, 'b c (h h2) (w w2) -> b (h2 w2 c) h w', h2=2, w2=2) +``` +There are at least four more ways to do it. Which one is used by the framework? + +These details are ignored, since *usually* it makes no difference, +but it can make a big difference (e.g. if you use grouped convolutions in the next stage), +and you'd like to specify this in your code. + + +### Uniformity + +```python +reduce(x, 'b c (x dx) -> b c x', 'max', dx=2) +reduce(x, 'b c (x dx) (y dy) -> b c x y', 'max', dx=2, dy=3) +reduce(x, 'b c (x dx) (y dy) (z dz) -> b c x y z', 'max', dx=2, dy=3, dz=4) +``` +These examples demonstrated that we don't use separate operations for 1d/2d/3d pooling, +those are all defined in a uniform way. + +Space-to-depth and depth-to space are defined in many frameworks but how about width-to-height? Here you go: + +```python +rearrange(x, 'b c h (w w2) -> b c (h w2) w', w2=2) +``` + + +### Framework independent behavior + +Even simple functions are defined differently by different frameworks + +```python +y = x.flatten() # or flatten(x) +``` + +Suppose `x`'s shape was `(3, 4, 5)`, then `y` has shape ... + +- numpy, pytorch, cupy, chainer, jax: `(60,)` +- keras, tensorflow.layers, gluon: `(3, 20)` + +`einops` works the same way in all frameworks. + + +### Independence of framework terminology + +Example: `tile` vs `repeat` causes lots of confusion. To copy image along width: +```python +np.tile(image, (1, 2)) # in numpy +image.repeat(1, 2) # pytorch's repeat ~ numpy's tile +``` + +With einops you don't need to decipher which axis was repeated: +```python +repeat(image, 'h w -> h (tile w)', tile=2) # in numpy +repeat(image, 'h w -> h (tile w)', tile=2) # in pytorch +repeat(image, 'h w -> h (tile w)', tile=2) # in tf +repeat(image, 'h w -> h (tile w)', tile=2) # in jax +repeat(image, 'h w -> h (tile w)', tile=2) # in cupy +... (etc.) +``` + +[Testimonials](https://einops.rocks/pages/testimonials/) provide users' perspective on the same question. + + +## Supported frameworks + +Einops works with ... + +- [numpy](http://www.numpy.org/) +- [pytorch](https://pytorch.org/) +- [tensorflow](https://www.tensorflow.org/) +- [jax](https://github.com/google/jax) +- [cupy](https://github.com/cupy/cupy) +- [flax](https://github.com/google/flax) (community) +- [paddle](https://github.com/PaddlePaddle/Paddle) (community) +- [oneflow](https://github.com/Oneflow-Inc/oneflow) (community) +- [tinygrad](https://github.com/tinygrad/tinygrad) (community) +- [pytensor](https://github.com/pymc-devs/pytensor) (community) + + + +```python +from einops import rearrange +=> from einops.array_api import rearrange +``` + +But actually it is even better: einops can be used with *any* framework that supports +[Python array API standard](https://data-apis.org/array-api/latest/API_specification/index.html), +to name a few: + +- numpy >= 2.0 +- [MLX](https://github.com/ml-explore/mlx) # yes, einops works with apple's framework +- [pydata/sparse](https://github.com/pydata/sparse) >= 0.15 # and works with sparse tensors +- [cubed](https://github.com/cubed-dev/cubed) # and with distributed tensors too +- [quantco/ndonnx](https://github.com/Quantco/ndonnx) +- jax +- cupy +- dask is supported via [array-api-compat](https://github.com/data-apis/array-api-compat) + + +## Development + +Devcontainer is provided, this environment can be used locally, or on your server, +or within github codespaces. +To start with devcontainers in vs code, clone repo, and click 'Reopen in Devcontainer'. + +Starting from einops 0.8.1, einops distributes tests as a part of package. + +```bash +# pip install einops pytest +python -m einops.tests.run_tests numpy pytorch jax --pip-install +``` + +`numpy pytorch jax` is an _example_, any subset of testable frameworks can be provided. +Every framework is tested against numpy, so it is a requirement for tests. + +Specifying `--pip-install` will install requirements in current virtualenv, +and should be omitted if dependencies are installed locally. + +To build/test docs: + +```bash +hatch run docs:serve # Serving on http://localhost:8000/ +``` + + +## Citing einops + +Please use the following bibtex record + +```text +@inproceedings{ + rogozhnikov2022einops, + title={Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation}, + author={Alex Rogozhnikov}, + booktitle={International Conference on Learning Representations}, + year={2022}, + url={https://openreview.net/forum?id=oapKSVM2bcj} +} +``` + + +## Supported python versions + +`einops` works with python 3.9 or later. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/RECORD new file mode 100644 index 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a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/licenses/LICENSE b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/licenses/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..3a654e906619009358eb2cfe80609bd12b43fa7f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops-0.8.2.dist-info/licenses/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2018 Alex Rogozhnikov + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..7ac4fcab6b4e58c4a4a623ef4f631fe87cbe580c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/__init__.py @@ -0,0 +1,17 @@ +# imports can use EinopsError class +# ruff: noqa: E402 + +__author__ = "Alex Rogozhnikov" +__version__ = "0.8.2" + + +class EinopsError(RuntimeError): + """Runtime error thrown by einops""" + + pass # noqa: PIE790 + + +__all__ = ["EinopsError", "asnumpy", "einsum", "pack", "parse_shape", "rearrange", "reduce", "repeat", "unpack"] + +from .einops import asnumpy, einsum, parse_shape, rearrange, reduce, repeat +from .packing import pack, unpack diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/_backends.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/_backends.py new file mode 100644 index 0000000000000000000000000000000000000000..0b2d8488d4570eadc1149ac91f9aa07f6b69a13f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/_backends.py @@ -0,0 +1,764 @@ +""" +Backends in `einops` are organized to meet the following requirements +- backends are not imported unless those are actually needed, because + - backends may not be installed + - importing all available backends will drive to significant memory footprint + - backends may be present but installed with errors (but never used), + importing may drive to crashes +- backend should be either symbolic or imperative + - this determines which methods (from_numpy/to_numpy or create_symbol/eval_symbol) should be defined +- if backend can't provide symbols for shape dimensions, UnknownSize objects are used +""" + +import sys + +__author__ = "Alex Rogozhnikov" + +_loaded_backends: dict = {} +_type2backend: dict = {} +_debug_importing = False + + +def get_backend(tensor) -> "AbstractBackend": + """ + Takes a correct backend (e.g. numpy backend if tensor is numpy.ndarray) for a tensor. + If needed, imports package and creates backend + """ + _type = type(tensor) + _result = _type2backend.get(_type, None) + if _result is not None: + return _result + + previously_loaded_backends = list(_loaded_backends.items()) + for _framework_name, backend in previously_loaded_backends: + if backend.is_appropriate_type(tensor): + _type2backend[_type] = backend + return backend + + # Find backend subclasses recursively + backend_subclasses = [] + backends = AbstractBackend.__subclasses__() + while backends: + backend = backends.pop() + backends += backend.__subclasses__() + backend_subclasses.append(backend) + + # handles modification of _loaded_backends from other thread, see #391 + prev_backend_names = [x for x, _ in previously_loaded_backends] + for BackendSubclass in backend_subclasses: + if _debug_importing: + print("Testing for subclass of ", BackendSubclass) + if BackendSubclass.framework_name not in prev_backend_names: + # check that module was already imported. Otherwise it can't be imported + if BackendSubclass.framework_name in sys.modules: + if _debug_importing: + print("Imported backend for ", BackendSubclass.framework_name) + backend = BackendSubclass() + _loaded_backends[backend.framework_name] = backend + if backend.is_appropriate_type(tensor): + _type2backend[_type] = backend + return backend + + raise RuntimeError(f"Tensor type unknown to einops {type(tensor)}") + + +class AbstractBackend: + """Base backend class, major part of methods are only for debugging purposes.""" + + framework_name: str + + def is_appropriate_type(self, tensor): + """helper method should recognize tensors it can handle""" + raise NotImplementedError() + + def from_numpy(self, x): + raise NotImplementedError("framework doesn't support imperative execution") + + def to_numpy(self, x): + raise NotImplementedError("framework doesn't support imperative execution") + + def create_symbol(self, shape): + raise NotImplementedError("framework doesn't support symbolic computations") + + def eval_symbol(self, symbol, symbol_value_pairs): + # symbol-value pairs is list[tuple[symbol, value-tensor]] + raise NotImplementedError("framework doesn't support symbolic computations") + + def arange(self, start, stop): + # supplementary method used only in testing, so should implement CPU version + raise NotImplementedError("framework doesn't implement arange") + + def shape(self, x): + """shape should return a tuple with integers or "shape symbols" (which will evaluate to actual size)""" + return x.shape + + def reshape(self, x, shape): + return x.reshape(shape) + + def transpose(self, x, axes): + return x.transpose(axes) + + def reduce(self, x, operation, axes): + return getattr(x, operation)(axis=axes) + + def stack_on_zeroth_dimension(self, tensors: list): + raise NotImplementedError() + + def add_axis(self, x, new_position): + raise NotImplementedError() + + def add_axes(self, x, n_axes, pos2len): + repeats = [1] * n_axes + for axis_position, axis_length in pos2len.items(): + x = self.add_axis(x, axis_position) + repeats[axis_position] = axis_length + return self.tile(x, tuple(repeats)) + + def tile(self, x, repeats): + """repeats - same lengths as x.shape""" + raise NotImplementedError() + + def concat(self, tensors, axis: int): + """concatenates tensors along axis. + Assume identical across tensors: devices, dtypes and shapes except selected axis.""" + raise NotImplementedError() + + def is_float_type(self, x): + # some backends (torch) can't compute average for non-floating types. + # Decided to drop average for all backends if type is not floating + raise NotImplementedError() + + def layers(self): + raise NotImplementedError("backend does not provide layers") + + def __repr__(self): + return f"" + + def einsum(self, pattern, *x): + raise NotImplementedError("backend does not support einsum") + + +class UnknownSize: + """pseudo-symbol for symbolic frameworks which do not provide symbols for shape elements""" + + def __floordiv__(self, other): + return self + + def __eq__(self, other): + return True # we don't know actual size + + def __mul__(self, other): + return self + + def __rmul__(self, other): + return self + + def __hash__(self): + return hash(None) + + +class NumpyBackend(AbstractBackend): + framework_name = "numpy" + + def __init__(self): + import numpy + + self.np = numpy + + def is_appropriate_type(self, tensor): + return isinstance(tensor, self.np.ndarray) + + def from_numpy(self, x): + return x + + def to_numpy(self, x): + return x + + def arange(self, start, stop): + return self.np.arange(start, stop) + + def stack_on_zeroth_dimension(self, tensors: list): + return self.np.stack(tensors) + + def tile(self, x, repeats): + return self.np.tile(x, repeats) + + def concat(self, tensors, axis: int): + return self.np.concatenate(tensors, axis=axis) + + def is_float_type(self, x): + return x.dtype in ("float16", "float32", "float64", "float128", "bfloat16") + + def add_axis(self, x, new_position): + return self.np.expand_dims(x, new_position) + + def einsum(self, pattern, *x): + return self.np.einsum(pattern, *x) + + +class JaxBackend(NumpyBackend): + framework_name = "jax" + + def __init__(self): + super().__init__() + self.onp = self.np + + import jax.numpy + + self.np = jax.numpy + + def from_numpy(self, x): + return self.np.asarray(x) + + def to_numpy(self, x): + return self.onp.asarray(x) + + +class TorchBackend(AbstractBackend): + framework_name = "torch" + + def __init__(self): + import torch + + self.torch = torch + # importing would register operations in torch._dynamo for torch.compile + from . import _torch_specific # noqa + + def is_appropriate_type(self, tensor): + return isinstance(tensor, self.torch.Tensor) + + def from_numpy(self, x): + variable = self.torch.from_numpy(x) + if self.is_float_type(variable): + # attach grad only to floating types + variable.requires_grad = True + return variable + + def to_numpy(self, x): + return x.detach().cpu().numpy() + + def arange(self, start, stop): + return self.torch.arange(start, stop, dtype=self.torch.int64) + + def reduce(self, x, operation, reduced_axes): + if operation == "min": + return x.amin(dim=reduced_axes) + elif operation == "max": + return x.amax(dim=reduced_axes) + elif operation == "sum": + return x.sum(dim=reduced_axes) + elif operation == "mean": + return x.mean(dim=reduced_axes) + elif operation in ("any", "all", "prod"): + # pytorch supports reducing only one operation at a time + for i in sorted(reduced_axes)[::-1]: + x = getattr(x, operation)(dim=i) + return x + else: + raise NotImplementedError("Unknown reduction ", operation) + + def transpose(self, x, axes): + return x.permute(axes) + + def stack_on_zeroth_dimension(self, tensors: list): + return self.torch.stack(tensors) + + def add_axes(self, x, n_axes, pos2len): + repeats = [-1] * n_axes + for axis_position, axis_length in pos2len.items(): + x = self.add_axis(x, axis_position) + repeats[axis_position] = axis_length + return x.expand(repeats) + + def tile(self, x, repeats): + return x.repeat(repeats) + + def concat(self, tensors, axis: int): + return self.torch.cat(tensors, dim=axis) + + def add_axis(self, x, new_position): + return self.torch.unsqueeze(x, new_position) + + def is_float_type(self, x): + return x.dtype in [self.torch.float16, self.torch.float32, self.torch.float64, self.torch.bfloat16] + + def layers(self): + from .layers import torch + + return torch + + def einsum(self, pattern, *x): + return self.torch.einsum(pattern, *x) + + +class CupyBackend(AbstractBackend): + framework_name = "cupy" + + def __init__(self): + import cupy + + self.cupy = cupy + + def is_appropriate_type(self, tensor): + return isinstance(tensor, self.cupy.ndarray) + + def from_numpy(self, x): + return self.cupy.asarray(x) + + def to_numpy(self, x): + return self.cupy.asnumpy(x) + + def arange(self, start, stop): + return self.cupy.arange(start, stop) + + def stack_on_zeroth_dimension(self, tensors: list): + return self.cupy.stack(tensors) + + def tile(self, x, repeats): + return self.cupy.tile(x, repeats) + + def concat(self, tensors, axis: int): + return self.cupy.concatenate(tensors, axis=axis) + + def add_axis(self, x, new_position): + return self.cupy.expand_dims(x, new_position) + + def is_float_type(self, x): + return x.dtype in ("float16", "float32", "float64", "float128", "bfloat16") + + def einsum(self, pattern, *x): + return self.cupy.einsum(pattern, *x) + + +class HashableTuple: + """Overcomes non-hashability of symbolic elements""" + + def __init__(self, elements: tuple): + self.elements = elements + + def __iter__(self): + yield from self.elements + + def __len__(self): + return len(self.elements) + + def __getitem__(self, item): + return self.elements[item] + + # default equality and hash is used (True only with itself, hash taken of id) + + +class TensorflowBackend(AbstractBackend): + framework_name = "tensorflow" + + def __init__(self): + import tensorflow + + self.tf = tensorflow + + def is_appropriate_type(self, tensor): + return isinstance(tensor, (self.tf.Tensor, self.tf.Variable)) + + def from_numpy(self, x): + assert self.tf.executing_eagerly() + return self.tf.convert_to_tensor(x) + + def to_numpy(self, x): + assert self.tf.executing_eagerly() + return x.numpy() + + def arange(self, start, stop): + return self.tf.range(start, stop) + + def shape(self, x): + if self.tf.executing_eagerly(): + return tuple(UnknownSize() if d is None else int(d) for d in x.shape) + else: + static_shape = x.shape.as_list() + tf_shape = self.tf.shape(x) + # use the static shape where known, otherwise use the TF shape components + shape = tuple([s or tf_shape[dim] for dim, s in enumerate(static_shape)]) + try: + hash(shape) + return shape + except BaseException: + # unhashable symbols in shape. Wrap tuple to be hashable. + return HashableTuple(shape) + + def reduce(self, x, operation, axes): + return getattr(self.tf, "reduce_" + operation)(x, axis=axes) + + def reshape(self, x, shape): + return self.tf.reshape(x, shape) + + def transpose(self, x, axes): + return self.tf.transpose(x, axes) + + def stack_on_zeroth_dimension(self, tensors: list): + return self.tf.stack(tensors) + + def tile(self, x, repeats): + return self.tf.tile(x, repeats) + + def concat(self, tensors, axis: int): + return self.tf.concat(tensors, axis=axis) + + def add_axis(self, x, new_position): + return self.tf.expand_dims(x, new_position) + + def is_float_type(self, x): + return x.dtype in ("float16", "float32", "float64", "float128", "bfloat16") + + def layers(self): + from .layers import tensorflow + + return tensorflow + + def einsum(self, pattern, *x): + return self.tf.einsum(pattern, *x) + + +class TFKerasBackend(AbstractBackend): + framework_name = "tensorflow.keras" + + def __init__(self): + import tensorflow as tf + + self.tf = tf + self.keras = tf.keras + self.K = tf.keras.backend + + def is_appropriate_type(self, tensor): + return self.tf.is_tensor(tensor) and self.K.is_keras_tensor(tensor) + + def create_symbol(self, shape): + return self.keras.Input(batch_shape=shape) + + def eval_symbol(self, symbol, symbol_value_pairs): + model = self.keras.models.Model([var for (var, _) in symbol_value_pairs], symbol) + return model.predict_on_batch([val for (_, val) in symbol_value_pairs]) + + def arange(self, start, stop): + return self.K.arange(start, stop) + + def shape(self, x): + shape = self.K.shape(x) # tf tensor + return HashableTuple(tuple(shape)) + + def reduce(self, x, operation, axes): + return getattr(self.K, operation)(x, axis=axes) + + def reshape(self, x, shape): + return self.K.reshape(x, shape) + + def transpose(self, x, axes): + return self.K.permute_dimensions(x, axes) + + def stack_on_zeroth_dimension(self, tensors: list): + return self.K.stack(tensors) + + def tile(self, x, repeats): + return self.K.tile(x, repeats) + + def concat(self, tensors, axis: int): + return self.K.concatenate(tensors, axis=axis) + + def add_axis(self, x, new_position): + return self.K.expand_dims(x, new_position) + + def is_float_type(self, x): + return "float" in self.K.dtype(x) + + def layers(self): + from .layers import keras + + return keras + + +class OneFlowBackend(AbstractBackend): + framework_name = "oneflow" + + def __init__(self): + import oneflow as flow + + self.flow = flow + + def is_appropriate_type(self, tensor): + return isinstance(tensor, self.flow.Tensor) + + def from_numpy(self, x): + variable = self.flow.from_numpy(x) + if self.is_float_type(variable): + # attach grad only to floating types + variable.requires_grad = True + return variable + + def to_numpy(self, x): + return x.detach().cpu().numpy() + + def arange(self, start, stop): + return self.flow.arange(start, stop, dtype=self.flow.int64) + + def reduce(self, x, operation, reduced_axes): + for axis in sorted(reduced_axes, reverse=True): + if operation == "min": + x, _ = x.min(dim=axis) + elif operation == "max": + x, _ = x.max(dim=axis) + elif operation in ["sum", "mean", "prod", "any", "all"]: + x = getattr(x, operation)(dim=axis) + else: + raise NotImplementedError("Unknown reduction ", operation) + return x + + def transpose(self, x, axes): + return x.permute(axes) + + def stack_on_zeroth_dimension(self, tensors: list): + return self.flow.stack(tensors) + + def add_axes(self, x, n_axes, pos2len): + repeats = [-1] * n_axes + for axis_position, axis_length in pos2len.items(): + x = self.add_axis(x, axis_position) + repeats[axis_position] = axis_length + return x.expand(*repeats) + + def tile(self, x, repeats): + return x.repeat(repeats) + + def concat(self, tensors, axis: int): + return self.flow.concat(tensors, dim=axis) + + def add_axis(self, x, new_position): + return self.flow.unsqueeze(x, new_position) + + def is_float_type(self, x): + return x.dtype in [self.flow.float16, self.flow.float32, self.flow.float64] + + def layers(self): + from .layers import oneflow + + return oneflow + + def einsum(self, pattern, *x): + return self.flow.einsum(pattern, *x) + + +class PaddleBackend(AbstractBackend): + framework_name = "paddle" + + def __init__(self): + import paddle + + self.paddle = paddle + + def is_appropriate_type(self, tensor): + return self.paddle.is_tensor(tensor) + + def from_numpy(self, x): + tensor = self.paddle.to_tensor(x) + tensor.stop_gradient = False + return tensor + + def to_numpy(self, x): + return x.detach().numpy() + + def arange(self, start, stop): + return self.paddle.arange(start, stop, dtype=self.paddle.int64) + + def reduce(self, x, operation, axes): + if len(axes) == x.ndim: + # currently paddle returns 1d tensor instead of 0d + return super().reduce(x, operation, axes).squeeze(0) + else: + return super().reduce(x, operation, axes) + + def transpose(self, x, axes): + return x.transpose(axes) + + def add_axes(self, x, n_axes, pos2len): + repeats = [-1] * n_axes + for axis_position, axis_length in pos2len.items(): + x = self.add_axis(x, axis_position) + repeats[axis_position] = axis_length + return x.expand(repeats) + + def stack_on_zeroth_dimension(self, tensors: list): + return self.paddle.stack(tensors) + + def reshape(self, x, shape): + return x.reshape(shape) + + def tile(self, x, repeats): + return x.tile(repeats) + + def concat(self, tensors, axis: int): + return self.paddle.concat(tensors, axis=axis) + + def add_axis(self, x, new_position): + return x.unsqueeze(new_position) + + def is_float_type(self, x): + return x.dtype in [self.paddle.float16, self.paddle.float32, self.paddle.float64] + + def layers(self): + from .layers import paddle + + return paddle + + def einsum(self, pattern, *x): + return self.paddle.einsum(pattern, *x) + + def shape(self, x): + return tuple(x.shape) + + +class TinygradBackend(AbstractBackend): + framework_name = "tinygrad" + + def __init__(self): + import tinygrad + + self.tinygrad = tinygrad + + def is_appropriate_type(self, tensor): + return isinstance(tensor, self.tinygrad.Tensor) + + def from_numpy(self, x): + return self.tinygrad.Tensor(x) + + def to_numpy(self, x): + return x.numpy() + + def arange(self, start, stop): + return self.tinygrad.Tensor.arange(start, stop) + + def shape(self, x): + return x.shape + + def reshape(self, x, shape): + return x.reshape(shape) + + def transpose(self, x, axes): + return x.permute(axes) + + def reduce(self, x, operation, axes): + for axis in sorted(axes, reverse=True): + x = getattr(x, operation)(axis=axis) + return x + + def stack_on_zeroth_dimension(self, tensors: list): + return self.tinygrad.Tensor.stack(tensors) + + def add_axis(self, x, new_position): + return x.unsqueeze(new_position) + + def tile(self, x, repeats): + return x.repeat(repeats) + + def concat(self, tensors, axis: int): + return tensors[0].cat(*tensors[1:], dim=axis) if len(tensors) > 1 else tensors[0] + + def is_float_type(self, x): + return self.tinygrad.dtypes.is_float(x.dtype) + + def einsum(self, pattern, *x): + return self.tinygrad.Tensor.einsum(pattern, *x) + + +class PyTensorBackend(AbstractBackend): + framework_name = "pytensor" + + def __init__(self): + from pytensor import tensor + + self.pt = tensor + + def is_appropriate_type(self, tensor): + return isinstance(tensor, self.pt.TensorVariable) + + def is_float_type(self, x): + return x.dtype in self.pt.type.float_dtypes + + def from_numpy(self, x): + return self.pt.as_tensor(x) + + def to_numpy(self, x): + return x.eval() # Will only work if there are no symbolic inputs + + def create_symbol(self, shape): + if not isinstance(shape, tuple | list): + shape = (shape,) + return self.pt.tensor(shape=shape) + + def eval_symbol(self, symbol, symbol_value_pairs): + return symbol.eval(dict(symbol_value_pairs)) + + def arange(self, start, stop): + return self.pt.arange(start, stop) + + def shape(self, x): + # use the static shape dimensions where known + return tuple( + static_dim if static_dim is not None else symbolic_dim + for static_dim, symbolic_dim in zip(x.type.shape, x.shape) + ) + + def stack_on_zeroth_dimension(self, tensors: list): + return self.pt.stack(tensors) + + def tile(self, x, repeats): + return self.pt.tile(x, repeats) + + def concat(self, tensors, axis: int): + return self.pt.concatenate(tensors, axis=axis) + + def add_axis(self, x, new_position): + return self.pt.expand_dims(x, new_position) + + def einsum(self, pattern, *x): + return self.pt.einsum(pattern, *x) + + +class MLXBackend(AbstractBackend): + framework_name = "mlx" + + def __init__(self): + import mlx.core as mx + import numpy as np + + self.mx = mx + self.np = np + + def is_appropriate_type(self, tensor): + return isinstance(tensor, self.mx.array) + + def from_numpy(self, x): + return self.mx.array(x) + + def to_numpy(self, x): + if x.dtype == self.mx.bfloat16: + x = x.astype(self.mx.float32) + return self.np.array(x) + + def arange(self, start, stop): + return self.mx.arange(start, stop) + + def stack_on_zeroth_dimension(self, tensors: list): + return self.mx.stack(tensors) + + def add_axes(self, x, new_position): + return self.mx.expand_dims(x, new_position) + + def tile(self, x, repeats): + return self.mx.tile(x, repeats) + + def concat(self, tensors, axis: int): + return self.mx.concatenate(tensors, axis=axis) + + def is_float_type(self, x): + return self.mx.issubdtype(x.dtype, self.mx.floating) + + def einsum(self, pattern, *x): + return self.mx.einsum(pattern, *x) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/_torch_specific.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/_torch_specific.py new file mode 100644 index 0000000000000000000000000000000000000000..75ef5d9a33f7a45c7fb3422d87234b10f91257e4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/_torch_specific.py @@ -0,0 +1,136 @@ +""" +Specialization of einops for torch. + +Unfortunately, torch's jit scripting mechanism isn't strong enough, +and to have scripting supported at least for layers, +a number of additional moves is needed. + +Design of main operations (dynamic resolution by lookup) is unlikely +to be implemented by torch.jit.script, +but torch.compile seems to work with operations just fine. +""" + +import warnings +from typing import Dict, List, Tuple + +import torch + +from einops.einops import TransformRecipe, _reconstruct_from_shape_uncached + + +class TorchJitBackend: + """ + Completely static backend that mimics part of normal backend functionality + but restricted to be within torchscript. + """ + + @staticmethod + def reduce(x: torch.Tensor, operation: str, reduced_axes: List[int]): + if operation == "min": + return x.amin(dim=reduced_axes) + elif operation == "max": + return x.amax(dim=reduced_axes) + elif operation == "sum": + return x.sum(dim=reduced_axes) + elif operation == "mean": + return x.mean(dim=reduced_axes) + elif operation == "prod": + for i in sorted(reduced_axes)[::-1]: + x = x.prod(dim=i) + return x + else: + raise NotImplementedError("Unknown reduction ", operation) + + @staticmethod + def transpose(x, axes: List[int]): + return x.permute(axes) + + @staticmethod + def stack_on_zeroth_dimension(tensors: List[torch.Tensor]): + return torch.stack(tensors) + + @staticmethod + def tile(x, repeats: List[int]): + return x.repeat(repeats) + + @staticmethod + def add_axes(x, n_axes: int, pos2len: Dict[int, int]): + repeats = [-1] * n_axes + for axis_position, axis_length in pos2len.items(): + x = torch.unsqueeze(x, axis_position) + repeats[axis_position] = axis_length + return x.expand(repeats) + + @staticmethod + def is_float_type(x): + return x.dtype in [torch.float16, torch.float32, torch.float64, torch.bfloat16] + + @staticmethod + def shape(x): + return x.shape + + @staticmethod + def reshape(x, shape: List[int]): + return x.reshape(shape) + + +# mirrors einops.einops._apply_recipe +def apply_for_scriptable_torch( + recipe: TransformRecipe, tensor: torch.Tensor, reduction_type: str, axes_dims: List[Tuple[str, int]] +) -> torch.Tensor: + backend = TorchJitBackend + ( + init_shapes, + axes_reordering, + reduced_axes, + added_axes, + final_shapes, + n_axes_w_added, + ) = _reconstruct_from_shape_uncached(recipe, backend.shape(tensor), axes_dims=axes_dims) + if init_shapes is not None: + tensor = backend.reshape(tensor, init_shapes) + if axes_reordering is not None: + tensor = backend.transpose(tensor, axes_reordering) + if len(reduced_axes) > 0: + tensor = backend.reduce(tensor, operation=reduction_type, reduced_axes=reduced_axes) + if len(added_axes) > 0: + tensor = backend.add_axes(tensor, n_axes=n_axes_w_added, pos2len=added_axes) + if final_shapes is not None: + tensor = backend.reshape(tensor, final_shapes) + return tensor + + +def allow_ops_in_compiled_graph(): + if hasattr(torch, "__version__") and torch.__version__[0] < "2": + # torch._dynamo and torch.compile appear in pytorch 2.0 + return + + if hasattr(torch, "__version__") and torch.__version__ >= "2.8": + # einops don't need to use allow_in graph for torch 2.8 and above + return + + try: + from torch._dynamo import allow_in_graph + except ImportError: + warnings.warn( + "allow_ops_in_compiled_graph failed to import torch: ensure pytorch >=2.0", ImportWarning, stacklevel=1 + ) + return + + from .einops import einsum, rearrange, reduce, repeat + from .packing import pack, unpack + + allow_in_graph(rearrange) + allow_in_graph(reduce) + allow_in_graph(repeat) + allow_in_graph(einsum) + allow_in_graph(pack) + allow_in_graph(unpack) + + # CF: https://github.com/pytorch/pytorch/blob/2df939aacac68e9621fbd5d876c78d86e72b41e2/torch/_dynamo/__init__.py#L222 + global _ops_were_registered_in_torchdynamo + _ops_were_registered_in_torchdynamo = True + + +# module import automatically registers ops in torchdynamo +allow_ops_in_compiled_graph() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/array_api.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/array_api.py new file mode 100644 index 0000000000000000000000000000000000000000..1f0c553db4c33f3a52afc1e364c406f98b4356ea --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/array_api.py @@ -0,0 +1,125 @@ +from typing import List, Sequence, Tuple + +from .einops import EinopsError, Reduction, Tensor, _apply_recipe_array_api, _prepare_transformation_recipe +from .packing import analyze_pattern, prod + + +def reduce(tensor: Tensor, pattern: str, reduction: Reduction, **axes_lengths: int) -> Tensor: + if isinstance(tensor, list): + if len(tensor) == 0: + raise TypeError("Einops can't be applied to an empty list") + xp = tensor[0].__array_namespace__() + tensor = xp.stack(tensor) + else: + xp = tensor.__array_namespace__() + try: + hashable_axes_lengths = tuple(axes_lengths.items()) + recipe = _prepare_transformation_recipe(pattern, reduction, axes_names=tuple(axes_lengths), ndim=tensor.ndim) + return _apply_recipe_array_api( + xp, + recipe=recipe, + tensor=tensor, + reduction_type=reduction, + axes_lengths=hashable_axes_lengths, + ) + except EinopsError as e: + message = f' Error while processing {reduction}-reduction pattern "{pattern}".' + if not isinstance(tensor, list): + message += f"\n Input tensor shape: {tensor.shape}. " + else: + message += "\n Input is list. " + message += f"Additional info: {axes_lengths}." + raise EinopsError(message + f"\n {e}") from None + + +def repeat(tensor: Tensor, pattern: str, **axes_lengths) -> Tensor: + return reduce(tensor, pattern, reduction="repeat", **axes_lengths) + + +def rearrange(tensor: Tensor, pattern: str, **axes_lengths) -> Tensor: + return reduce(tensor, pattern, reduction="rearrange", **axes_lengths) + + +def asnumpy(tensor: Tensor): + import numpy as np + + return np.from_dlpack(tensor) + + +Shape = Tuple + + +def pack(tensors: Sequence[Tensor], pattern: str) -> Tuple[Tensor, List[Shape]]: + n_axes_before, n_axes_after, min_axes = analyze_pattern(pattern, "pack") + xp = tensors[0].__array_namespace__() + + reshaped_tensors: List[Tensor] = [] + packed_shapes: List[Shape] = [] + for i, tensor in enumerate(tensors): + shape = tensor.shape + if len(shape) < min_axes: + raise EinopsError( + f"packed tensor #{i} (enumeration starts with 0) has shape {shape}, " + f"while pattern {pattern} assumes at least {min_axes} axes" + ) + axis_after_packed_axes = len(shape) - n_axes_after + packed_shapes.append(shape[n_axes_before:axis_after_packed_axes]) + reshaped_tensors.append(xp.reshape(tensor, (*shape[:n_axes_before], -1, *shape[axis_after_packed_axes:]))) + + return xp.concat(reshaped_tensors, axis=n_axes_before), packed_shapes + + +def unpack(tensor: Tensor, packed_shapes: List[Shape], pattern: str) -> List[Tensor]: + xp = tensor.__array_namespace__() + n_axes_before, n_axes_after, min_axes = analyze_pattern(pattern, opname="unpack") + + # backend = get_backend(tensor) + input_shape = tensor.shape + if len(input_shape) != n_axes_before + 1 + n_axes_after: + raise EinopsError(f"unpack(..., {pattern}) received input of wrong dim with shape {input_shape}") + + unpacked_axis: int = n_axes_before + + lengths_of_composed_axes: List[int] = [-1 if -1 in p_shape else prod(p_shape) for p_shape in packed_shapes] + + n_unknown_composed_axes = sum(x == -1 for x in lengths_of_composed_axes) + if n_unknown_composed_axes > 1: + raise EinopsError( + f"unpack(..., {pattern}) received more than one -1 in {packed_shapes} and can't infer dimensions" + ) + + # following manipulations allow to skip some shape verifications + # and leave it to backends + + # [[], [2, 3], [4], [-1, 5], [6]] < examples of packed_axis + # split positions when computed should be + # [0, 1, 7, 11, N-6 , N ], where N = length of axis + split_positions = [0] * len(packed_shapes) + [input_shape[unpacked_axis]] + if n_unknown_composed_axes == 0: + for i, x in enumerate(lengths_of_composed_axes[:-1]): + split_positions[i + 1] = split_positions[i] + x + else: + unknown_composed_axis: int = lengths_of_composed_axes.index(-1) + for i in range(unknown_composed_axis): + split_positions[i + 1] = split_positions[i] + lengths_of_composed_axes[i] + for j in range(unknown_composed_axis + 1, len(lengths_of_composed_axes))[::-1]: + split_positions[j] = split_positions[j + 1] - lengths_of_composed_axes[j] + + shape_start = input_shape[:unpacked_axis] + shape_end = input_shape[unpacked_axis + 1 :] + slice_filler = (slice(None, None),) * unpacked_axis + try: + return [ + xp.reshape( + # shortest way slice arbitrary axis + tensor[(*slice_filler, slice(split_positions[i], split_positions[i + 1]), ...)], + (*shape_start, *element_shape, *shape_end), + ) + for i, element_shape in enumerate(packed_shapes) + ] + except Exception as e: + # this hits if there is an error during reshapes, which means passed shapes were incorrect + raise RuntimeError( + f'Error during unpack(..., "{pattern}"): could not split axis of size {split_positions[-1]}' + f" into requested {packed_shapes}" + ) from e diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/einops.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/einops.py new file mode 100644 index 0000000000000000000000000000000000000000..7c9e0dfba7adc1bec69ab6aa712c757c61608c1f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/einops.py @@ -0,0 +1,939 @@ +import functools +import itertools +import string +import typing +from collections import OrderedDict +from typing import Any, Callable, Dict, List, Optional, Set, Tuple, TypeVar, Union, cast, overload + +if typing.TYPE_CHECKING: + # for docstrings in pycharm + import numpy as np # noqa E401 + +from . import EinopsError +from ._backends import get_backend +from .parsing import AnonymousAxis, ParsedExpression, _ellipsis + +Tensor = TypeVar("Tensor") +ReductionCallable = Callable[[Tensor, Tuple[int, ...]], Tensor] +Reduction = Union[str, ReductionCallable] +Size = typing.Any + +_reductions = ("min", "max", "sum", "mean", "prod", "any", "all") + +# magic integers are required to stay within +# traceable subset of language +_unknown_axis_length = -999999 +_expected_axis_length = -99999 + + +def _product(sequence: List[int]) -> int: + """minimalistic product that works both with numbers and symbols. Supports empty lists""" + result = 1 + for element in sequence: + result *= element + return result + + +def _reduce_axes(tensor, reduction_type: Reduction, reduced_axes: List[int], backend): + if callable(reduction_type): + # custom callable + return reduction_type(tensor, tuple(reduced_axes)) + else: + # one of built-in operations + assert reduction_type in _reductions + if reduction_type == "mean": + if not backend.is_float_type(tensor): + raise NotImplementedError("reduce_mean is not available for non-floating tensors") + return backend.reduce(tensor, reduction_type, tuple(reduced_axes)) + + +def _optimize_transformation(init_shapes, reduced_axes, axes_reordering, final_shapes): + # 'collapses' neighboring axes if those participate in the result pattern in the same order + # TODO add support for added_axes + assert len(axes_reordering) + len(reduced_axes) == len(init_shapes) + # joining consecutive axes that will be reduced + # possibly we can skip this if all backends can optimize this (not sure) + reduced_axes = tuple(sorted(reduced_axes)) + for i in range(len(reduced_axes) - 1)[::-1]: + if reduced_axes[i] + 1 == reduced_axes[i + 1]: + removed_axis = reduced_axes[i + 1] + removed_length = init_shapes[removed_axis] + init_shapes = init_shapes[:removed_axis] + init_shapes[removed_axis + 1 :] + init_shapes[removed_axis - 1] *= removed_length + reduced_axes = reduced_axes[: i + 1] + tuple(axis - 1 for axis in reduced_axes[i + 2 :]) + + # removing axes that are moved together during reshape + def build_mapping(): + init_to_final = {} + for axis in range(len(init_shapes)): + if axis in reduced_axes: + init_to_final[axis] = None + else: + after_reduction = sum(x is not None for x in init_to_final.values()) + init_to_final[axis] = list(axes_reordering).index(after_reduction) + return init_to_final + + init_axis_to_final_axis = build_mapping() + + for init_axis in range(len(init_shapes) - 1)[::-1]: + if init_axis_to_final_axis[init_axis] is None: + continue + if init_axis_to_final_axis[init_axis + 1] is None: + continue + if init_axis_to_final_axis[init_axis] + 1 == init_axis_to_final_axis[init_axis + 1]: + removed_axis = init_axis + 1 + removed_length = init_shapes[removed_axis] + removed_axis_after_reduction = sum(x not in reduced_axes for x in range(removed_axis)) + + reduced_axes = tuple(axis if axis < removed_axis else axis - 1 for axis in reduced_axes) + init_shapes = init_shapes[:removed_axis] + init_shapes[removed_axis + 1 :] + init_shapes[removed_axis - 1] *= removed_length + old_reordering = axes_reordering + axes_reordering = [] + for axis in old_reordering: + if axis == removed_axis_after_reduction: + pass + elif axis < removed_axis_after_reduction: + axes_reordering.append(axis) + else: + axes_reordering.append(axis - 1) + init_axis_to_final_axis = build_mapping() + + return init_shapes, reduced_axes, axes_reordering, final_shapes + + +CookedRecipe = Tuple[Optional[List[int]], Optional[List[int]], List[int], Dict[int, int], Optional[List[int]], int] + +# Actual type is tuple[tuple[str, int], ...] +# However torch.jit.script does not "understand" the correct type, +# and torch_specific will use list version. +HashableAxesLengths = Tuple[Tuple[str, int], ...] +FakeHashableAxesLengths = List[Tuple[str, int]] + + +class TransformRecipe: + """ + Recipe describes actual computation pathway. + Recipe can be applied to a tensor or variable. + """ + + # structure is non-mutable. In future, this can be non-mutable dataclass (python 3.7+) + # update: pytorch 2.0 torch.jit.script seems to have problems with dataclasses unless they were explicitly provided + + def __init__( + self, + # list of sizes (or just sizes) for elementary axes as they appear in left expression. + # this is what (after computing unknown parts) will be a shape after first transposition. + # This does not include any ellipsis dimensions. + elementary_axes_lengths: List[int], + # if additional axes are provided, they should be set in prev array + # This shows mapping from name to position + axis_name2elementary_axis: Dict[str, int], + # each dimension in input can help to reconstruct length of one elementary axis + # or verify one of dimensions. Each element points to element of elementary_axes_lengths. + input_composition_known_unknown: List[Tuple[List[int], List[int]]], + # permutation applied to elementary axes, if ellipsis is absent + axes_permutation: List[int], + # permutation puts reduced axes in the end, we only need to know the first position. + first_reduced_axis: int, + # at which positions which of elementary axes should appear. Axis position -> axis index. + added_axes: Dict[int, int], + # ids of axes as they appear in result, again pointers to elementary_axes_lengths, + # only used to infer result dimensions + output_composite_axes: List[List[int]], + ): + self.elementary_axes_lengths: List[int] = elementary_axes_lengths + self.axis_name2elementary_axis: Dict[str, int] = axis_name2elementary_axis + self.input_composition_known_unknown: List[Tuple[List[int], List[int]]] = input_composition_known_unknown + self.axes_permutation: List[int] = axes_permutation + + self.first_reduced_axis: int = first_reduced_axis + self.added_axes: Dict[int, int] = added_axes + self.output_composite_axes: List[List[int]] = output_composite_axes + + +def _reconstruct_from_shape_uncached( + self: TransformRecipe, shape: List[int], axes_dims: FakeHashableAxesLengths +) -> CookedRecipe: + """ + Reconstruct all actual parameters using shape. + Shape is a tuple that may contain integers, shape symbols (tf, theano) and UnknownSize (tf, previously mxnet) + known axes can be integers or symbols, but not Nones. + """ + # magic number + need_init_reshape = False + + # last axis is allocated for collapsed ellipsis + axes_lengths: List[int] = list(self.elementary_axes_lengths) + for axis, dim in axes_dims: + axes_lengths[self.axis_name2elementary_axis[axis]] = dim + + for input_axis, (known_axes, unknown_axes) in enumerate(self.input_composition_known_unknown): + length = shape[input_axis] + if len(known_axes) == 0 and len(unknown_axes) == 1: + # shortcut for the most common case + axes_lengths[unknown_axes[0]] = length + continue + + known_product = 1 + for axis in known_axes: + known_product *= axes_lengths[axis] + + if len(unknown_axes) == 0: + if isinstance(length, int) and isinstance(known_product, int) and length != known_product: + raise EinopsError(f"Shape mismatch, {length} != {known_product}") + else: + # assert len(unknown_axes) == 1, 'this is enforced when recipe is created, so commented out' + if isinstance(length, int) and isinstance(known_product, int) and length % known_product != 0: + raise EinopsError(f"Shape mismatch, can't divide axis of length {length} in chunks of {known_product}") + + unknown_axis = unknown_axes[0] + inferred_length: int = length // known_product + axes_lengths[unknown_axis] = inferred_length + + if len(known_axes) + len(unknown_axes) != 1: + need_init_reshape = True + + # at this point all axes_lengths are computed (either have values or variables, but not Nones) + + # elementary axes are ordered as they appear in input, then all added axes + init_shapes: Optional[List[int]] = axes_lengths[: len(self.axes_permutation)] if need_init_reshape else None + + need_final_reshape = False + final_shapes: List[int] = [] + for grouping in self.output_composite_axes: + lengths = [axes_lengths[elementary_axis] for elementary_axis in grouping] + final_shapes.append(_product(lengths)) + if len(lengths) != 1: + need_final_reshape = True + + added_axes: Dict[int, int] = { + pos: axes_lengths[pos_in_elementary] for pos, pos_in_elementary in self.added_axes.items() + } + + # this list can be empty + reduced_axes = list(range(self.first_reduced_axis, len(self.axes_permutation))) + + n_axes_after_adding_axes = len(added_axes) + len(self.axes_permutation) + + axes_reordering: Optional[List[int]] = self.axes_permutation + if self.axes_permutation == list(range(len(self.axes_permutation))): + axes_reordering = None + + _final_shapes = final_shapes if need_final_reshape else None + return init_shapes, axes_reordering, reduced_axes, added_axes, _final_shapes, n_axes_after_adding_axes + + +_reconstruct_from_shape = functools.lru_cache(1024)(_reconstruct_from_shape_uncached) + + +def _apply_recipe( + backend, recipe: TransformRecipe, tensor: Tensor, reduction_type: Reduction, axes_lengths: HashableAxesLengths +) -> Tensor: + # this method implements actual work for all backends for 3 operations + try: + init_shapes, axes_reordering, reduced_axes, added_axes, final_shapes, n_axes_w_added = _reconstruct_from_shape( + recipe, backend.shape(tensor), axes_lengths + ) + except TypeError: + # shape or one of passed axes lengths is not hashable (i.e. they are symbols) + _result = _reconstruct_from_shape_uncached(recipe, backend.shape(tensor), axes_lengths) + (init_shapes, axes_reordering, reduced_axes, added_axes, final_shapes, n_axes_w_added) = _result + if init_shapes is not None: + tensor = backend.reshape(tensor, init_shapes) + if axes_reordering is not None: + tensor = backend.transpose(tensor, axes_reordering) + if len(reduced_axes) > 0: + tensor = _reduce_axes(tensor, reduction_type=reduction_type, reduced_axes=reduced_axes, backend=backend) + if len(added_axes) > 0: + tensor = backend.add_axes(tensor, n_axes=n_axes_w_added, pos2len=added_axes) + if final_shapes is not None: + tensor = backend.reshape(tensor, final_shapes) + return tensor + + +def _apply_recipe_array_api( + xp, recipe: TransformRecipe, tensor: Tensor, reduction_type: Reduction, axes_lengths: HashableAxesLengths +) -> Tensor: + # completely-inline implementation + init_shapes, axes_reordering, reduced_axes, added_axes, final_shapes, n_axes_w_added = _reconstruct_from_shape( + recipe, tensor.shape, axes_lengths + ) + if init_shapes is not None: + tensor = xp.reshape(tensor, init_shapes) + if axes_reordering is not None: + tensor = xp.permute_dims(tensor, axes_reordering) + if len(reduced_axes) > 0: + if callable(reduction_type): + # custom callable + tensor = reduction_type(tensor, tuple(reduced_axes)) + else: + # one of built-in operations + assert reduction_type in _reductions + tensor = getattr(xp, reduction_type)(tensor, axis=tuple(reduced_axes)) + if len(added_axes) > 0: + # we use broadcasting + for axis_position, _axis_length in added_axes.items(): + tensor = xp.expand_dims(tensor, axis=axis_position) + + final_shape = list(tensor.shape) + for axis_position, axis_length in added_axes.items(): + final_shape[axis_position] = axis_length + + tensor = xp.broadcast_to(tensor, final_shape) + if final_shapes is not None: + tensor = xp.reshape(tensor, final_shapes) + return tensor + + +@functools.lru_cache(256) +def _prepare_transformation_recipe( + pattern: str, + operation: Reduction, + axes_names: Tuple[str, ...], + ndim: int, +) -> TransformRecipe: + """Perform initial parsing of pattern and provided supplementary info + axes_lengths is a tuple of tuples (axis_name, axis_length) + """ + left_str, rght_str = pattern.split("->") + left = ParsedExpression(left_str) + rght = ParsedExpression(rght_str) + + # checking that axes are in agreement - new axes appear only in repeat, while disappear only in reduction + if not left.has_ellipsis and rght.has_ellipsis: + raise EinopsError(f"Ellipsis found in right side, but not left side of a pattern {pattern}") + if left.has_ellipsis and left.has_ellipsis_parenthesized: + raise EinopsError(f"Ellipsis inside parenthesis in the left side is not allowed: {pattern}") + if operation == "rearrange": + if left.has_non_unitary_anonymous_axes or rght.has_non_unitary_anonymous_axes: + raise EinopsError("Non-unitary anonymous axes are not supported in rearrange (exception is length 1)") + difference = set.symmetric_difference(left.identifiers, rght.identifiers) + if len(difference) > 0: + raise EinopsError(f"Identifiers only on one side of expression (should be on both): {difference}") + elif operation == "repeat": + difference = set.difference(left.identifiers, rght.identifiers) + if len(difference) > 0: + raise EinopsError(f"Unexpected identifiers on the left side of repeat: {difference}") + axes_without_size = set.difference( + {ax for ax in rght.identifiers if not isinstance(ax, AnonymousAxis)}, + {*left.identifiers, *axes_names}, + ) + if len(axes_without_size) > 0: + raise EinopsError(f"Specify sizes for new axes in repeat: {axes_without_size}") + elif operation in _reductions or callable(operation): + difference = set.difference(rght.identifiers, left.identifiers) + if len(difference) > 0: + raise EinopsError(f"Unexpected identifiers on the right side of reduce {operation}: {difference}") + else: + raise EinopsError(f"Unknown reduction {operation}. Expect one of {_reductions}.") + + if left.has_ellipsis: + n_other_dims = len(left.composition) - 1 + if ndim < n_other_dims: + raise EinopsError(f"Wrong shape: expected >={n_other_dims} dims. Received {ndim}-dim tensor.") + ellipsis_ndim = ndim - n_other_dims + ell_axes = [_ellipsis + str(i) for i in range(ellipsis_ndim)] + left_composition = [] + for composite_axis in left.composition: + if composite_axis == _ellipsis: + for axis in ell_axes: + left_composition.append([axis]) + else: + left_composition.append(composite_axis) + + rght_composition = [] + for composite_axis in rght.composition: + if composite_axis == _ellipsis: + for axis in ell_axes: + rght_composition.append([axis]) + else: + group = [] + for axis in composite_axis: + if axis == _ellipsis: + group.extend(ell_axes) + else: + group.append(axis) + rght_composition.append(group) + + left.identifiers.update(ell_axes) + left.identifiers.remove(_ellipsis) + if rght.has_ellipsis: + rght.identifiers.update(ell_axes) + rght.identifiers.remove(_ellipsis) + else: + if ndim != len(left.composition): + raise EinopsError(f"Wrong shape: expected {len(left.composition)} dims. Received {ndim}-dim tensor.") + left_composition = left.composition + rght_composition = rght.composition + + # parsing all dimensions to find out lengths + axis_name2known_length: Dict[Union[str, AnonymousAxis], int] = OrderedDict() + for composite_axis in left_composition: + for axis_name in composite_axis: + if isinstance(axis_name, AnonymousAxis): + axis_name2known_length[axis_name] = axis_name.value + else: + axis_name2known_length[axis_name] = _unknown_axis_length + + # axis_ids_after_first_reshape = range(len(axis_name2known_length)) at this point + + repeat_axes_names = [] + for axis_name in rght.identifiers: + if axis_name not in axis_name2known_length: + if isinstance(axis_name, AnonymousAxis): + axis_name2known_length[axis_name] = axis_name.value + else: + axis_name2known_length[axis_name] = _unknown_axis_length + repeat_axes_names.append(axis_name) + + axis_name2position = {name: position for position, name in enumerate(axis_name2known_length)} + + # axes provided as kwargs + for elementary_axis in axes_names: + if not ParsedExpression.check_axis_name(elementary_axis): + raise EinopsError("Invalid name for an axis", elementary_axis) + if elementary_axis not in axis_name2known_length: + raise EinopsError(f"Axis {elementary_axis} is not used in transform") + axis_name2known_length[elementary_axis] = _expected_axis_length + + input_axes_known_unknown = [] + # some shapes are inferred later - all information is prepared for faster inference + for composite_axis in left_composition: + known: Set[str] = {axis for axis in composite_axis if axis_name2known_length[axis] != _unknown_axis_length} + unknown: Set[str] = {axis for axis in composite_axis if axis_name2known_length[axis] == _unknown_axis_length} + if len(unknown) > 1: + raise EinopsError(f"Could not infer sizes for {unknown}") + assert len(unknown) + len(known) == len(composite_axis) + input_axes_known_unknown.append( + ([axis_name2position[axis] for axis in known], [axis_name2position[axis] for axis in unknown]) + ) + + axis_position_after_reduction: Dict[str, int] = {} + for axis_name in itertools.chain(*left_composition): + if axis_name in rght.identifiers: + axis_position_after_reduction[axis_name] = len(axis_position_after_reduction) + + result_axes_grouping: List[List[int]] = [ + [axis_name2position[axis] for axis in composite_axis] for i, composite_axis in enumerate(rght_composition) + ] + + ordered_axis_left = list(itertools.chain(*left_composition)) + ordered_axis_rght = list(itertools.chain(*rght_composition)) + reduced_axes = [axis for axis in ordered_axis_left if axis not in rght.identifiers] + order_after_transposition = [axis for axis in ordered_axis_rght if axis in left.identifiers] + reduced_axes + axes_permutation = [ordered_axis_left.index(axis) for axis in order_after_transposition] + added_axes = { + i: axis_name2position[axis_name] + for i, axis_name in enumerate(ordered_axis_rght) + if axis_name not in left.identifiers + } + + first_reduced_axis = len(order_after_transposition) - len(reduced_axes) + + return TransformRecipe( + elementary_axes_lengths=list(axis_name2known_length.values()), + axis_name2elementary_axis={axis: axis_name2position[axis] for axis in axes_names}, + input_composition_known_unknown=input_axes_known_unknown, + axes_permutation=axes_permutation, + first_reduced_axis=first_reduced_axis, + added_axes=added_axes, + output_composite_axes=result_axes_grouping, + ) + + +def _prepare_recipes_for_all_dims( + pattern: str, operation: Reduction, axes_names: Tuple[str, ...] +) -> Dict[int, TransformRecipe]: + """ + Internal function, used in layers. + Layer makes all recipe creation when it is initialized, thus to keep recipes simple we pre-compute for all dims + """ + left_str, rght_str = pattern.split("->") + left = ParsedExpression(left_str) + dims = [len(left.composition)] + if left.has_ellipsis: + dims = [len(left.composition) - 1 + ellipsis_dims for ellipsis_dims in range(8)] + return {ndim: _prepare_transformation_recipe(pattern, operation, axes_names, ndim=ndim) for ndim in dims} + + +@overload +def reduce(tensor: List[Tensor], pattern: str, reduction: Reduction, **axes_lengths: Size) -> Tensor: ... + + +@overload +def reduce(tensor: Tensor, pattern: str, reduction: Reduction, **axes_lengths: Size) -> Tensor: ... + + +def reduce(tensor: Union[Tensor, List[Tensor]], pattern: str, reduction: Reduction, **axes_lengths: Size) -> Tensor: + """ + einops.reduce combines rearrangement and reduction using reader-friendly notation. + + Some examples: + + ```python + >>> x = np.random.randn(100, 32, 64) + + # perform max-reduction on the first axis + # Axis t does not appear on RHS - thus we reduced over t + >>> y = reduce(x, 't b c -> b c', 'max') + + # same as previous, but using verbose names for axes + >>> y = reduce(x, 'time batch channel -> batch channel', 'max') + + # let's pretend now that x is a batch of images + # with 4 dims: batch=10, height=20, width=30, channel=40 + >>> x = np.random.randn(10, 20, 30, 40) + + # 2d max-pooling with kernel size = 2 * 2 for image processing + >>> y1 = reduce(x, 'b c (h1 h2) (w1 w2) -> b c h1 w1', 'max', h2=2, w2=2) + + # same as previous, using anonymous axes, + # note: only reduced axes can be anonymous + >>> y1 = reduce(x, 'b c (h1 2) (w1 2) -> b c h1 w1', 'max') + + # adaptive 2d max-pooling to 3 * 4 grid, + # each element is max of 10x10 tile in the original tensor. + >>> reduce(x, 'b c (h1 h2) (w1 w2) -> b c h1 w1', 'max', h1=3, w1=4).shape + (10, 20, 3, 4) + + # Global average pooling + >>> reduce(x, 'b c h w -> b c', 'mean').shape + (10, 20) + + # subtracting mean over batch for each channel; + # similar to x - np.mean(x, axis=(0, 2, 3), keepdims=True) + >>> y = x - reduce(x, 'b c h w -> 1 c 1 1', 'mean') + + # Subtracting per-image mean for each channel + >>> y = x - reduce(x, 'b c h w -> b c 1 1', 'mean') + + # same as previous, but using empty compositions + >>> y = x - reduce(x, 'b c h w -> b c () ()', 'mean') + + ``` + + Parameters: + tensor: tensor: tensor of any supported library (e.g. numpy.ndarray, tensorflow, pytorch). + list of tensors is also accepted, those should be of the same type and shape + pattern: string, reduction pattern + reduction: one of available reductions ('min', 'max', 'sum', 'mean', 'prod', 'any', 'all'). + Alternatively, a callable f(tensor, reduced_axes) -> tensor can be provided. + This allows using various reductions like: np.max, np.nanmean, tf.reduce_logsumexp, torch.var, etc. + axes_lengths: any additional specifications for dimensions + + Returns: + tensor of the same type as input + """ + try: + if isinstance(tensor, list): + if len(tensor) == 0: + raise TypeError("Rearrange/Reduce/Repeat can't be applied to an empty list") + backend = get_backend(tensor[0]) + tensor = backend.stack_on_zeroth_dimension(tensor) + else: + backend = get_backend(tensor) + + hashable_axes_lengths = tuple(axes_lengths.items()) + shape = backend.shape(tensor) + recipe = _prepare_transformation_recipe(pattern, reduction, axes_names=tuple(axes_lengths), ndim=len(shape)) + return _apply_recipe( + backend, recipe, cast(Tensor, tensor), reduction_type=reduction, axes_lengths=hashable_axes_lengths + ) + except EinopsError as e: + message = f' Error while processing {reduction}-reduction pattern "{pattern}".' + if not isinstance(tensor, list): + message += f"\n Input tensor shape: {shape}. " + else: + message += "\n Input is list. " + message += f"Additional info: {axes_lengths}." + raise EinopsError(message + f"\n {e}") from None + + +@overload +def rearrange(tensor: List[Tensor], pattern: str, **axes_lengths: Size) -> Tensor: ... + + +@overload +def rearrange(tensor: Tensor, pattern: str, **axes_lengths: Size) -> Tensor: ... + + +def rearrange(tensor: Union[Tensor, List[Tensor]], pattern: str, **axes_lengths: Size) -> Tensor: + """ + einops.rearrange is a reader-friendly smart element reordering for multidimensional tensors. + This operation includes functionality of transpose (axes permutation), reshape (view), squeeze, unsqueeze, + stack, concatenate and other operations. + + Examples: + + ```python + # suppose we have a set of 32 images in "h w c" format (height-width-channel) + >>> images = [np.random.randn(30, 40, 3) for _ in range(32)] + + # stack along first (batch) axis, output is a single array + >>> rearrange(images, 'b h w c -> b h w c').shape + (32, 30, 40, 3) + + # stacked and reordered axes to "b c h w" format + >>> rearrange(images, 'b h w c -> b c h w').shape + (32, 3, 30, 40) + + # concatenate images along height (vertical axis), 960 = 32 * 30 + >>> rearrange(images, 'b h w c -> (b h) w c').shape + (960, 40, 3) + + # concatenated images along horizontal axis, 1280 = 32 * 40 + >>> rearrange(images, 'b h w c -> h (b w) c').shape + (30, 1280, 3) + + # flattened each image into a vector, 3600 = 30 * 40 * 3 + >>> rearrange(images, 'b h w c -> b (c h w)').shape + (32, 3600) + + # split each image into 4 smaller (top-left, top-right, bottom-left, bottom-right), 128 = 32 * 2 * 2 + >>> rearrange(images, 'b (h1 h) (w1 w) c -> (b h1 w1) h w c', h1=2, w1=2).shape + (128, 15, 20, 3) + + # space-to-depth operation + >>> rearrange(images, 'b (h h1) (w w1) c -> b h w (c h1 w1)', h1=2, w1=2).shape + (32, 15, 20, 12) + + ``` + + When composing axes, C-order enumeration used (consecutive elements have different last axis). + Find more examples in einops tutorial. + + Parameters: + tensor: tensor of any supported library (e.g. numpy.ndarray, tensorflow, pytorch). + list of tensors is also accepted, those should be of the same type and shape + pattern: string, rearrangement pattern + axes_lengths: any additional specifications for dimensions + + Returns: + tensor of the same type as input. If possible, a view to the original tensor is returned. + + """ + return reduce(tensor, pattern, reduction="rearrange", **axes_lengths) + + +@overload +def repeat(tensor: List[Tensor], pattern: str, **axes_lengths: Size) -> Tensor: ... + + +@overload +def repeat(tensor: Tensor, pattern: str, **axes_lengths: Size) -> Tensor: ... + + +def repeat(tensor: Union[Tensor, List[Tensor]], pattern: str, **axes_lengths: Size) -> Tensor: + """ + einops.repeat allows reordering elements and repeating them in arbitrary combinations. + This operation includes functionality of repeat, tile, and broadcast functions. + + Examples for repeat operation: + + ```python + # a grayscale image (of shape height x width) + >>> image = np.random.randn(30, 40) + + # change it to RGB format by repeating in each channel + >>> repeat(image, 'h w -> h w c', c=3).shape + (30, 40, 3) + + # repeat image 2 times along height (vertical axis) + >>> repeat(image, 'h w -> (repeat h) w', repeat=2).shape + (60, 40) + + # repeat image 2 time along height and 3 times along width + >>> repeat(image, 'h w -> (h2 h) (w3 w)', h2=2, w3=3).shape + (60, 120) + + # convert each pixel to a small square 2x2, i.e. upsample an image by 2x + >>> repeat(image, 'h w -> (h h2) (w w2)', h2=2, w2=2).shape + (60, 80) + + # 'pixelate' an image first by downsampling by 2x, then upsampling + >>> downsampled = reduce(image, '(h h2) (w w2) -> h w', 'mean', h2=2, w2=2) + >>> repeat(downsampled, 'h w -> (h h2) (w w2)', h2=2, w2=2).shape + (30, 40) + + ``` + + When composing axes, C-order enumeration used (consecutive elements have different last axis). + Find more examples in einops tutorial. + + Parameters: + tensor: tensor of any supported library (e.g. numpy.ndarray, tensorflow, pytorch). + list of tensors is also accepted, those should be of the same type and shape + pattern: string, rearrangement pattern + axes_lengths: any additional specifications for dimensions + + Returns: + Tensor of the same type as input. If possible, a view to the original tensor is returned. + + """ + return reduce(tensor, pattern, reduction="repeat", **axes_lengths) + + +def parse_shape(x: Tensor, pattern: str) -> dict: + """ + Parse a tensor shape to dictionary mapping axes names to their lengths. + + ```python + # Use underscore to skip the dimension in parsing. + >>> x = np.zeros([2, 3, 5, 7]) + >>> parse_shape(x, 'batch _ h w') + {'batch': 2, 'h': 5, 'w': 7} + + # `parse_shape` output can be used to specify axes_lengths for other operations: + >>> y = np.zeros([700]) + >>> rearrange(y, '(b c h w) -> b c h w', **parse_shape(x, 'b _ h w')).shape + (2, 10, 5, 7) + + ``` + + For symbolic frameworks may return symbols, not integers. + + Parameters: + x: tensor of any supported framework + pattern: str, space separated names for axes, underscore means skip axis + + Returns: + dict, maps axes names to their lengths + """ + exp = ParsedExpression(pattern, allow_underscore=True) + shape = get_backend(x).shape(x) + if exp.has_composed_axes(): + raise RuntimeError(f"Can't parse shape with composite axes: {pattern} {shape}") + if len(shape) != len(exp.composition): + if exp.has_ellipsis: + if len(shape) < len(exp.composition) - 1: + raise RuntimeError(f"Can't parse shape with this number of dimensions: {pattern} {shape}") + else: + raise RuntimeError(f"Can't parse shape with different number of dimensions: {pattern} {shape}") + if exp.has_ellipsis: + ellipsis_idx = exp.composition.index(_ellipsis) + composition = ( + exp.composition[:ellipsis_idx] + + ["_"] * (len(shape) - len(exp.composition) + 1) + + exp.composition[ellipsis_idx + 1 :] + ) + else: + composition = exp.composition + result = {} + for axes, axis_length in zip(composition, shape): # type: ignore + # axes either [], or [AnonymousAxis] or ['axis_name'] + if len(axes) == 0: + if axis_length != 1: + raise RuntimeError(f"Length of axis is not 1: {pattern} {shape}") + else: + [axis] = axes + if isinstance(axis, str): + if axis != "_": + result[axis] = axis_length + else: + if axis.value != axis_length: + raise RuntimeError(f"Length of anonymous axis does not match: {pattern} {shape}") + return result + + +# _enumerate_directions is not exposed in the public API +def _enumerate_directions(x): + """ + For an n-dimensional tensor, returns tensors to enumerate each axis. + ```python + x = np.zeros([2, 3, 4]) # or any other tensor + i, j, k = _enumerate_directions(x) + result = i + 2*j + 3*k + ``` + + `result[i, j, k] = i + 2j + 3k`, and also has the same shape as result + Works very similarly to numpy.ogrid (open indexing grid) + """ + backend = get_backend(x) + shape = backend.shape(x) + result = [] + for axis_id, axis_length in enumerate(shape): + shape = [1] * len(shape) + shape[axis_id] = axis_length + result.append(backend.reshape(backend.arange(0, axis_length), shape)) + return result + + +# to avoid importing numpy +np_ndarray = Any + + +def asnumpy(tensor: Tensor) -> np_ndarray: + """ + Convert a tensor of an imperative framework (i.e. numpy/cupy/torch/jax/etc.) to `numpy.ndarray` + + Parameters: + tensor: tensor of any known imperative framework + + Returns: + `numpy.ndarray`, converted to numpy + """ + return get_backend(tensor).to_numpy(tensor) + + +def _validate_einsum_axis_name(axis_name): + if len(axis_name) == 0: + raise NotImplementedError("Singleton () axes are not yet supported in einsum.") + if len(axis_name) > 1: + raise NotImplementedError("Shape rearrangement is not yet supported in einsum.") + + axis_name = axis_name[0] + + if isinstance(axis_name, AnonymousAxis): + raise NotImplementedError("Anonymous axes are not yet supported in einsum.") + if len(axis_name) == 0: + raise RuntimeError("Encountered empty axis name in einsum.") + if not isinstance(axis_name, str): + raise RuntimeError("Axis name in einsum must be a string.") + + +@functools.lru_cache(256) +def _compactify_pattern_for_einsum(pattern: str) -> str: + if "->" not in pattern: + # numpy allows this, so make sure users + # don't accidentally do something like this. + raise ValueError("Einsum pattern must contain '->'.") + lefts_str, right_str = pattern.split("->") + + lefts = [ParsedExpression(left, allow_underscore=True, allow_duplicates=True) for left in lefts_str.split(",")] + + right = ParsedExpression(right_str, allow_underscore=True) + + # Start from 'a' and go up to 'Z' + output_axis_names = string.ascii_letters + i = 0 + axis_name_mapping = {} + + left_patterns = [] + for left in lefts: + left_pattern = "" + for raw_axis_name in left.composition: + if raw_axis_name == _ellipsis: + left_pattern += "..." + continue + + _validate_einsum_axis_name(raw_axis_name) + axis_name = raw_axis_name[0] + if axis_name not in axis_name_mapping: + if i >= len(output_axis_names): + raise RuntimeError("Too many axes in einsum.") + axis_name_mapping[axis_name] = output_axis_names[i] + i += 1 + + left_pattern += axis_name_mapping[axis_name] + left_patterns.append(left_pattern) + + compact_pattern = ",".join(left_patterns) + "->" + + for raw_axis_name in right.composition: + if raw_axis_name == _ellipsis: + compact_pattern += "..." + continue + + _validate_einsum_axis_name(raw_axis_name) + axis_name = raw_axis_name[0] + + if axis_name not in axis_name_mapping: + raise EinopsError(f"Unknown axis {axis_name} on right side of einsum {pattern}.") + + compact_pattern += axis_name_mapping[axis_name] + + return compact_pattern + + +@typing.overload +def einsum(tensor: Tensor, pattern: str, /) -> Tensor: ... + + +@typing.overload +def einsum(tensor1: Tensor, tensor2: Tensor, pattern: str, /) -> Tensor: ... + + +@typing.overload +def einsum(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor, pattern: str, /) -> Tensor: ... + + +@typing.overload +def einsum(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor, tensor4: Tensor, pattern: str, /) -> Tensor: ... + + +def einsum(*tensors_and_pattern: Union[Tensor, str]) -> Tensor: + r""" + einops.einsum calls einsum operations with einops-style named + axes indexing, computing tensor products with an arbitrary + number of tensors. Unlike typical einsum syntax, here you must + pass tensors first, and then the pattern. + + Also, note that rearrange operations such as `"(batch chan) out"`, + or singleton axes `()`, are not currently supported. + + Examples: + + For a given pattern such as: + ```python + >>> x, y, z = np.random.randn(3, 20, 20, 20) + >>> output = einsum(x, y, z, "a b c, c b d, a g k -> a b k") + + ``` + the following formula is computed: + ```tex + output[a, b, k] = \sum_{c, d, g} x[a, b, c] * y[c, b, d] * z[a, g, k] + ``` + where the summation over `c`, `d`, and `g` is performed + because those axes names do not appear on the right-hand side. + + Let's see some additional examples: + ```python + # Filter a set of images: + >>> batched_images = np.random.randn(128, 16, 16) + >>> filters = np.random.randn(16, 16, 30) + >>> result = einsum(batched_images, filters, + ... "batch h w, h w channel -> batch channel") + >>> result.shape + (128, 30) + + # Matrix multiplication, with an unknown input shape: + >>> batch_shape = (50, 30) + >>> data = np.random.randn(*batch_shape, 20) + >>> weights = np.random.randn(10, 20) + >>> result = einsum(weights, data, + ... "out_dim in_dim, ... in_dim -> ... out_dim") + >>> result.shape + (50, 30, 10) + + # Matrix trace on a single tensor: + >>> matrix = np.random.randn(10, 10) + >>> result = einsum(matrix, "i i ->") + >>> result.shape + () + + ``` + + Parameters: + tensors_and_pattern: + tensors: tensors of any supported library (numpy, tensorflow, pytorch, jax). + pattern: string, einsum pattern, with commas + separating specifications for each tensor. + pattern should be provided after all tensors. + + Returns: + Tensor of the same type as input, after processing with einsum. + + """ + if len(tensors_and_pattern) <= 1: + raise ValueError( + "`einops.einsum` takes at minimum two arguments: the tensors (at least one), followed by the pattern." + ) + pattern = tensors_and_pattern[-1] + if not isinstance(pattern, str): + raise ValueError( + "The last argument passed to `einops.einsum` must be a string, representing the einsum pattern." + ) + tensors = tensors_and_pattern[:-1] + pattern = _compactify_pattern_for_einsum(pattern) + return get_backend(tensors[0]).einsum(pattern, *tensors) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/experimental/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/experimental/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/experimental/indexing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/experimental/indexing.py new file mode 100644 index 0000000000000000000000000000000000000000..d4635f811a4afcfe059f19e5bf99cf97e9b128e2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/experimental/indexing.py @@ -0,0 +1,5 @@ +""" +This file contained some thoughts on indexing. + +These ideas were developed further in eindex (separate package). +""" diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..681d37c755ed7afa7395021bb3a6e6ddeb762dfe --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/__init__.py @@ -0,0 +1,105 @@ +__author__ = "Alex Rogozhnikov" + +from typing import Any, Dict + +from einops import EinopsError +from einops.einops import TransformRecipe, _apply_recipe, _prepare_recipes_for_all_dims, get_backend + + +class RearrangeMixin: + """ + Rearrange layer behaves identically to einops.rearrange operation. + + :param pattern: str, rearrangement pattern + :param axes_lengths: any additional specification of dimensions + + See einops.rearrange for source_examples. + """ + + def __init__(self, pattern: str, **axes_lengths: Any) -> None: + super().__init__() + self.pattern = pattern + self.axes_lengths = axes_lengths + # self._recipe = self.recipe() # checking parameters + self._multirecipe = self.multirecipe() + self._axes_lengths = tuple(self.axes_lengths.items()) + + def __repr__(self) -> str: + params = repr(self.pattern) + for axis, length in self.axes_lengths.items(): + params += f", {axis}={length}" + return f"{self.__class__.__name__}({params})" + + def multirecipe(self) -> Dict[int, TransformRecipe]: + try: + return _prepare_recipes_for_all_dims( + self.pattern, operation="rearrange", axes_names=tuple(self.axes_lengths) + ) + except EinopsError as e: + raise EinopsError(f" Error while preparing {self!r}\n {e}") from None + + def _apply_recipe(self, x): + backend = get_backend(x) + return _apply_recipe( + backend=backend, + recipe=self._multirecipe[len(x.shape)], + tensor=x, + reduction_type="rearrange", + axes_lengths=self._axes_lengths, + ) + + def __getstate__(self): + return {"pattern": self.pattern, "axes_lengths": self.axes_lengths} + + def __setstate__(self, state): + self.__init__(pattern=state["pattern"], **state["axes_lengths"]) + + +class ReduceMixin: + """ + Reduce layer behaves identically to einops.reduce operation. + + :param pattern: str, rearrangement pattern + :param reduction: one of available reductions ('min', 'max', 'sum', 'mean', 'prod'), case-sensitive + :param axes_lengths: any additional specification of dimensions + + See einops.reduce for source_examples. + """ + + def __init__(self, pattern: str, reduction: str, **axes_lengths: Any): + super().__init__() + self.pattern = pattern + self.reduction = reduction + self.axes_lengths = axes_lengths + self._multirecipe = self.multirecipe() + self._axes_lengths = tuple(self.axes_lengths.items()) + + def __repr__(self): + params = f"{self.pattern!r}, {self.reduction!r}" + for axis, length in self.axes_lengths.items(): + params += f", {axis}={length}" + return f"{self.__class__.__name__}({params})" + + def multirecipe(self) -> Dict[int, TransformRecipe]: + try: + return _prepare_recipes_for_all_dims( + self.pattern, operation=self.reduction, axes_names=tuple(self.axes_lengths) + ) + except EinopsError as e: + raise EinopsError(f" Error while preparing {self!r}\n {e}") from None + + def _apply_recipe(self, x): + backend = get_backend(x) + return _apply_recipe( + backend=backend, + recipe=self._multirecipe[len(x.shape)], + tensor=x, + reduction_type=self.reduction, + axes_lengths=self._axes_lengths, + ) + + def __getstate__(self): + return {"pattern": self.pattern, "reduction": self.reduction, "axes_lengths": self.axes_lengths} + + def __setstate__(self, state): + self.__init__(pattern=state["pattern"], reduction=state["reduction"], **state["axes_lengths"]) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/_einmix.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/_einmix.py new file mode 100644 index 0000000000000000000000000000000000000000..dbdad81a129b9812362619ea437ac3f11c1d919b --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/_einmix.py @@ -0,0 +1,227 @@ +import string +import warnings +from typing import Any, Dict, List, Optional + +from einops import EinopsError +from einops.einops import _product +from einops.parsing import ParsedExpression, _ellipsis + + +def _report_axes(axes: set, report_message: str): + if len(axes) > 0: + raise EinopsError(report_message.format(axes)) + + +class _EinmixMixin: + def __init__(self, pattern: str, weight_shape: str, bias_shape: Optional[str] = None, **axes_lengths: Any): + """ + EinMix - Einstein summation with automated tensor management and axis packing/unpacking. + + EinMix is a combination of einops and MLP, see tutorial: + https://github.com/arogozhnikov/einops/blob/main/docs/3-einmix-layer.ipynb + + Imagine taking einsum with two arguments, one of each input, and one - tensor with weights + >>> einsum('time batch channel_in, channel_in channel_out -> time batch channel_out', input, weight) + + This layer manages weights for you, syntax highlights a special role of weight matrix + >>> EinMix('time batch channel_in -> time batch channel_out', weight_shape='channel_in channel_out') + But otherwise it is the same einsum under the hood. Plus einops-rearrange. + + Simple linear layer with a bias term (you have one like that in your framework) + >>> EinMix('t b cin -> t b cout', weight_shape='cin cout', bias_shape='cout', cin=10, cout=20) + There is no restriction to mix the last axis. Let's mix along height + >>> EinMix('h w c-> hout w c', weight_shape='h hout', bias_shape='hout', h=32, hout=32) + Example of channel-wise multiplication (like one used in normalizations) + >>> EinMix('t b c -> t b c', weight_shape='c', c=128) + Multi-head linear layer (each head is own linear layer): + >>> EinMix('t b (head cin) -> t b (head cout)', weight_shape='head cin cout', ...) + + ... and yes, you need to specify all dimensions of weight shape/bias shape in parameters. + + Use cases: + - when channel dimension is not last, use EinMix, not transposition + - patch/segment embeddings + - when need only within-group connections to reduce number of weights and computations + - next-gen MLPs (follow tutorial link above to learn more!) + - in general, any time you want to combine linear layer and einops.rearrange + + Uniform He initialization is applied to weight tensor. + This accounts for the number of elements mixed and produced. + + Parameters + :param pattern: transformation pattern, left side - dimensions of input, right side - dimensions of output + :param weight_shape: axes of weight. A tensor of this shape is created, stored, and optimized in a layer + If bias_shape is not specified, bias is not created. + :param bias_shape: axes of bias added to output. Weights of this shape are created and stored. If `None` (the default), no bias is added. + :param axes_lengths: dimensions of weight tensor + """ + super().__init__() + self.pattern = pattern + self.weight_shape = weight_shape + self.bias_shape = bias_shape + self.axes_lengths = axes_lengths + self.initialize_einmix( + pattern=pattern, weight_shape=weight_shape, bias_shape=bias_shape, axes_lengths=axes_lengths + ) + + def initialize_einmix(self, pattern: str, weight_shape: str, bias_shape: Optional[str], axes_lengths: dict): + left_pattern, right_pattern = pattern.split("->") + left = ParsedExpression(left_pattern) + right = ParsedExpression(right_pattern) + weight = ParsedExpression(weight_shape) + _report_axes( + set.difference(right.identifiers, {*left.identifiers, *weight.identifiers}), + "Unrecognized identifiers on the right side of EinMix {}", + ) + if weight.has_ellipsis: + raise EinopsError("Ellipsis is not supported in weight, as its shape should be fully specified") + if left.has_ellipsis or right.has_ellipsis: + if not (left.has_ellipsis and right.has_ellipsis): + raise EinopsError(f"Ellipsis in EinMix should be on both sides, {pattern}") + if left.has_ellipsis_parenthesized: + raise EinopsError(f"Ellipsis on left side can't be in parenthesis, got {pattern}") + if any(x.has_non_unitary_anonymous_axes for x in [left, right, weight]): + raise EinopsError("Anonymous axes (numbers) are not allowed in EinMix") + if "(" in weight_shape or ")" in weight_shape: + raise EinopsError(f"Parenthesis is not allowed in weight shape: {weight_shape}") + + pre_reshape_pattern = None + pre_reshape_lengths = None + post_reshape_pattern = None + if any(len(group) != 1 for group in left.composition): + names: List[str] = [] + for group in left.composition: + names += group + names = [name if name != _ellipsis else "..." for name in names] + composition = " ".join(names) + pre_reshape_pattern = f"{left_pattern}-> {composition}" + pre_reshape_lengths = {name: length for name, length in axes_lengths.items() if name in names} + + if any(len(group) != 1 for group in right.composition) or right.has_ellipsis_parenthesized: + names = [] + for group in right.composition: + names += group + names = [name if name != _ellipsis else "..." for name in names] + composition = " ".join(names) + post_reshape_pattern = f"{composition} ->{right_pattern}" + + self._create_rearrange_layers(pre_reshape_pattern, pre_reshape_lengths, post_reshape_pattern, {}) + + for axis in weight.identifiers: + if axis not in axes_lengths: + raise EinopsError(f"Dimension {axis} of weight should be specified") + _report_axes( + set.difference(set(axes_lengths), {*left.identifiers, *weight.identifiers}), + "Axes {} are not used in pattern", + ) + _report_axes( + set.difference(weight.identifiers, {*left.identifiers, *right.identifiers}), "Weight axes {} are redundant" + ) + if len(weight.identifiers) == 0: + warnings.warn("EinMix: weight has no dimensions (means multiplication by a number)", stacklevel=2) + + _weight_shape = [axes_lengths[axis] for (axis,) in weight.composition] + # single output element is a combination of fan_in input elements + _fan_in = _product([axes_lengths[axis] for (axis,) in weight.composition if axis not in right.identifiers]) + if bias_shape is not None: + # maybe I should put ellipsis in the beginning for simplicity? + if not isinstance(bias_shape, str): + raise EinopsError("bias shape should be string specifying which axes bias depends on") + bias = ParsedExpression(bias_shape) + _report_axes( + set.difference(bias.identifiers, right.identifiers), + "Bias axes {} not present in output", + ) + _report_axes( + set.difference(bias.identifiers, set(axes_lengths)), + "Sizes not provided for bias axes {}", + ) + + _bias_shape = [] + used_non_trivial_size = False + for axes in right.composition: + if axes == _ellipsis: + if used_non_trivial_size: + raise EinopsError("all bias dimensions should go after ellipsis in the output") + else: + # handles ellipsis correctly + for axis in axes: + if axis == _ellipsis: + if used_non_trivial_size: + raise EinopsError("all bias dimensions should go after ellipsis in the output") + elif axis in bias.identifiers: + _bias_shape.append(axes_lengths[axis]) + used_non_trivial_size = True + else: + _bias_shape.append(1) + else: + _bias_shape = None + + weight_bound = (3 / _fan_in) ** 0.5 + bias_bound = (1 / _fan_in) ** 0.5 + self._create_parameters(_weight_shape, weight_bound, _bias_shape, bias_bound) + + # rewrite einsum expression with single-letter latin identifiers so that + # expression will be understood by any framework + mapped_identifiers = {*left.identifiers, *right.identifiers, *weight.identifiers} + if _ellipsis in mapped_identifiers: + mapped_identifiers.remove(_ellipsis) + mapped_identifiers = sorted(mapped_identifiers) + mapping2letters = {k: letter for letter, k in zip(string.ascii_lowercase, mapped_identifiers)} + mapping2letters[_ellipsis] = "..." # preserve ellipsis + + def write_flat_remapped(axes: ParsedExpression): + result = [] + for composed_axis in axes.composition: + if isinstance(composed_axis, list): + result.extend([mapping2letters[axis] for axis in composed_axis]) + else: + assert composed_axis == _ellipsis + result.append("...") + return "".join(result) + + self.einsum_pattern: str = ( + f"{write_flat_remapped(left)},{write_flat_remapped(weight)}->{write_flat_remapped(right)}" + ) + + def _create_rearrange_layers( + self, + pre_reshape_pattern: Optional[str], + pre_reshape_lengths: Optional[Dict], + post_reshape_pattern: Optional[str], + post_reshape_lengths: Optional[Dict], + ): + raise NotImplementedError("Should be defined in framework implementations") + + def _create_parameters(self, weight_shape, weight_bound, bias_shape, bias_bound): + """Shape and implementations""" + raise NotImplementedError("Should be defined in framework implementations") + + def __repr__(self): + params = repr(self.pattern) + params += f", '{self.weight_shape}'" + if self.bias_shape is not None: + params += f", '{self.bias_shape}'" + for axis, length in self.axes_lengths.items(): + params += f", {axis}={length}" + return f"{self.__class__.__name__}({params})" + + +class _EinmixDebugger(_EinmixMixin): + """Used only to test mixin""" + + def _create_rearrange_layers( + self, + pre_reshape_pattern: Optional[str], + pre_reshape_lengths: Optional[Dict], + post_reshape_pattern: Optional[str], + post_reshape_lengths: Optional[Dict], + ): + self.pre_reshape_pattern = pre_reshape_pattern + self.pre_reshape_lengths = pre_reshape_lengths + self.post_reshape_pattern = post_reshape_pattern + self.post_reshape_lengths = post_reshape_lengths + + def _create_parameters(self, weight_shape, weight_bound, bias_shape, bias_bound): + self.saved_weight_shape = weight_shape + self.saved_bias_shape = bias_shape diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/flax.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/flax.py new file mode 100644 index 0000000000000000000000000000000000000000..695d8cd3b598807e1dd2e4385c60fbad59a00412 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/flax.py @@ -0,0 +1,82 @@ +from dataclasses import field +from typing import Dict, Optional, cast + +import flax.linen as nn +import jax +import jax.numpy as jnp + +from . import RearrangeMixin, ReduceMixin +from ._einmix import _EinmixMixin + +__author__ = "Alex Rogozhnikov" + + +class Reduce(nn.Module): + pattern: str + reduction: str + sizes: dict = field(default_factory=dict) + + def setup(self): + self.reducer = ReduceMixin(self.pattern, self.reduction, **self.sizes) + + def __call__(self, input): + return self.reducer._apply_recipe(input) + + +class Rearrange(nn.Module): + pattern: str + sizes: dict = field(default_factory=dict) + + def setup(self): + self.rearranger = RearrangeMixin(self.pattern, **self.sizes) + + def __call__(self, input): + return self.rearranger._apply_recipe(input) + + +class EinMix(nn.Module, _EinmixMixin): + pattern: str + weight_shape: str + bias_shape: Optional[str] = None + sizes: dict = field(default_factory=dict) + + def setup(self): + self.initialize_einmix( + pattern=self.pattern, + weight_shape=self.weight_shape, + bias_shape=self.bias_shape, + axes_lengths=self.sizes, + ) + + def _create_parameters(self, weight_shape, weight_bound, bias_shape, bias_bound): + self.weight = self.param("weight", jax.nn.initializers.uniform(weight_bound), weight_shape) + + if bias_shape is not None: + self.bias = self.param("bias", jax.nn.initializers.uniform(bias_bound), bias_shape) + else: + self.bias = None + + def _create_rearrange_layers( + self, + pre_reshape_pattern: Optional[str], + pre_reshape_lengths: Optional[Dict], + post_reshape_pattern: Optional[str], + post_reshape_lengths: Optional[Dict], + ): + self.pre_rearrange = None + if pre_reshape_pattern is not None: + self.pre_rearrange = Rearrange(pre_reshape_pattern, sizes=cast(dict, pre_reshape_lengths)) + + self.post_rearrange = None + if post_reshape_pattern is not None: + self.post_rearrange = Rearrange(post_reshape_pattern, sizes=cast(dict, post_reshape_lengths)) + + def __call__(self, input): + if self.pre_rearrange is not None: + input = self.pre_rearrange(input) + result = jnp.einsum(self.einsum_pattern, input, self.weight) + if self.bias is not None: + result += self.bias + if self.post_rearrange is not None: + result = self.post_rearrange(result) + return result diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/keras.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/keras.py new file mode 100644 index 0000000000000000000000000000000000000000..0563bd2058bdc528ff09efea288310bd49c27c74 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/keras.py @@ -0,0 +1,9 @@ +__author__ = "Alex Rogozhnikov" + +from einops.layers.tensorflow import EinMix, Rearrange, Reduce + +keras_custom_objects = { + Rearrange.__name__: Rearrange, + Reduce.__name__: Reduce, + EinMix.__name__: EinMix, +} diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/oneflow.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/oneflow.py new file mode 100644 index 0000000000000000000000000000000000000000..bd8e98c8536bb20542ebc8fd8204d881fe054bc7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/oneflow.py @@ -0,0 +1,54 @@ +from typing import Dict, Optional, cast + +import oneflow as flow + +from . import RearrangeMixin, ReduceMixin +from ._einmix import _EinmixMixin + +__author__ = "Tianhe Ren & Depeng Liang" + + +class Rearrange(RearrangeMixin, flow.nn.Module): + def forward(self, input): + return self._apply_recipe(input) + + +class Reduce(ReduceMixin, flow.nn.Module): + def forward(self, input): + return self._apply_recipe(input) + + +class EinMix(_EinmixMixin, flow.nn.Module): + def _create_parameters(self, weight_shape, weight_bound, bias_shape, bias_bound): + self.weight = flow.nn.Parameter( + flow.zeros(weight_shape).uniform_(-weight_bound, weight_bound), requires_grad=True + ) + if bias_shape is not None: + self.bias = flow.nn.Parameter(flow.zeros(bias_shape).uniform_(-bias_bound, bias_bound), requires_grad=True) + else: + self.bias = None + + def _create_rearrange_layers( + self, + pre_reshape_pattern: Optional[str], + pre_reshape_lengths: Optional[Dict], + post_reshape_pattern: Optional[str], + post_reshape_lengths: Optional[Dict], + ): + self.pre_rearrange = None + if pre_reshape_pattern is not None: + self.pre_rearrange = Rearrange(pre_reshape_pattern, **cast(dict, pre_reshape_lengths)) + + self.post_rearrange = None + if post_reshape_pattern is not None: + self.post_rearrange = Rearrange(post_reshape_pattern, **cast(dict, post_reshape_lengths)) + + def forward(self, input): + if self.pre_rearrange is not None: + input = self.pre_rearrange(input) + result = flow.einsum(self.einsum_pattern, input, self.weight) + if self.bias is not None: + result += self.bias + if self.post_rearrange is not None: + result = self.post_rearrange(result) + return result diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/paddle.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/paddle.py new file mode 100644 index 0000000000000000000000000000000000000000..c4bb8b72621d94936ee17f87aceee8b31fe6e403 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/paddle.py @@ -0,0 +1,58 @@ +from typing import Dict, Optional, cast + +import paddle + +from . import RearrangeMixin, ReduceMixin +from ._einmix import _EinmixMixin + +__author__ = "PaddlePaddle" + + +class Rearrange(RearrangeMixin, paddle.nn.Layer): + def forward(self, input): + return self._apply_recipe(input) + + +class Reduce(ReduceMixin, paddle.nn.Layer): + def forward(self, input): + return self._apply_recipe(input) + + +class EinMix(_EinmixMixin, paddle.nn.Layer): + def _create_parameters(self, weight_shape, weight_bound, bias_shape, bias_bound): + self.weight = self.create_parameter( + weight_shape, default_initializer=paddle.nn.initializer.Uniform(-weight_bound, weight_bound) + ) + + if bias_shape is not None: + self.bias = self.create_parameter( + bias_shape, default_initializer=paddle.nn.initializer.Uniform(-bias_bound, bias_bound) + ) + else: + self.bias = None + + def _create_rearrange_layers( + self, + pre_reshape_pattern: Optional[str], + pre_reshape_lengths: Optional[Dict], + post_reshape_pattern: Optional[str], + post_reshape_lengths: Optional[Dict], + ): + self.pre_rearrange = None + if pre_reshape_pattern is not None: + self.pre_rearrange = Rearrange(pre_reshape_pattern, **cast(dict, pre_reshape_lengths)) + + self.post_rearrange = None + if post_reshape_pattern is not None: + self.post_rearrange = Rearrange(post_reshape_pattern, **cast(dict, post_reshape_lengths)) + + def forward(self, input): + if self.pre_rearrange is not None: + input = self.pre_rearrange(input) + + result = paddle.einsum(self.einsum_pattern, input, self.weight) + if self.bias is not None: + result += self.bias + if self.post_rearrange is not None: + result = self.post_rearrange(result) + return result diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/tensorflow.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/tensorflow.py new file mode 100644 index 0000000000000000000000000000000000000000..e7e1470e5a86104e7e3fdf5c4b253818e1a94198 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/tensorflow.py @@ -0,0 +1,101 @@ +""" +Comment about tensorflow layers: +unfortunately instructions on creation of TF layers change constantly, +and changed way too many times at this point to remember what-compatible-where. + +Layers in einops==0.7.0 (and several prior versions) + are compatible with TF 2.13 + +Layers in einops==0.8.0 were re-implemented + according to official instructions for TF 2.16 + +""" + +from typing import Dict, Optional, cast + +import tensorflow as tf +from tensorflow.keras.layers import Layer + +from . import RearrangeMixin, ReduceMixin +from ._einmix import _EinmixMixin + +__author__ = "Alex Rogozhnikov" + + +class Rearrange(RearrangeMixin, Layer): + def build(self, input_shape): + pass # layer does not have any parameters to be initialized + + def call(self, inputs): + return self._apply_recipe(inputs) + + def get_config(self): + return {"pattern": self.pattern, **self.axes_lengths} + + +class Reduce(ReduceMixin, Layer): + def build(self, input_shape): + pass # layer does not have any parameters to be initialized + + def call(self, inputs): + return self._apply_recipe(inputs) + + def get_config(self): + return {"pattern": self.pattern, "reduction": self.reduction, **self.axes_lengths} + + +class EinMix(_EinmixMixin, Layer): + def _create_parameters(self, weight_shape, weight_bound, bias_shape, bias_bound): + # this method is called in __init__, + # but we postpone actual creation to build(), as TF instruction suggests + self._params = [weight_shape, weight_bound, bias_shape, bias_bound] + + def _create_rearrange_layers( + self, + pre_reshape_pattern: Optional[str], + pre_reshape_lengths: Optional[Dict], + post_reshape_pattern: Optional[str], + post_reshape_lengths: Optional[Dict], + ): + self.pre_rearrange = None + if pre_reshape_pattern is not None: + self.pre_rearrange = Rearrange(pre_reshape_pattern, **cast(dict, pre_reshape_lengths)) + + self.post_rearrange = None + if post_reshape_pattern is not None: + self.post_rearrange = Rearrange(post_reshape_pattern, **cast(dict, post_reshape_lengths)) + + def build(self, input_shape): + [weight_shape, weight_bound, bias_shape, bias_bound] = self._params + self.weight = self.add_weight( + shape=weight_shape, + initializer=tf.random_uniform_initializer(-weight_bound, weight_bound), + trainable=True, + ) + + if bias_shape is not None: + self.bias = self.add_weight( + shape=bias_shape, + initializer=tf.random_uniform_initializer(-bias_bound, bias_bound), + trainable=True, + ) + else: + self.bias = None + + def call(self, inputs): + if self.pre_rearrange is not None: + inputs = self.pre_rearrange(inputs) + result = tf.einsum(self.einsum_pattern, inputs, self.weight) + if self.bias is not None: + result = result + self.bias + if self.post_rearrange is not None: + result = self.post_rearrange(result) + return result + + def get_config(self): + return { + "pattern": self.pattern, + "weight_shape": self.weight_shape, + "bias_shape": self.bias_shape, + **self.axes_lengths, + } diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/torch.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/torch.py new file mode 100644 index 0000000000000000000000000000000000000000..7363f1d52a6681405c9cf2b974358874231f4d87 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/layers/torch.py @@ -0,0 +1,68 @@ +from typing import Dict, Optional, cast + +import torch + +from einops._torch_specific import apply_for_scriptable_torch + +from . import RearrangeMixin, ReduceMixin +from ._einmix import _EinmixMixin + +__author__ = "Alex Rogozhnikov" + + +class Rearrange(RearrangeMixin, torch.nn.Module): + def forward(self, input): + recipe = self._multirecipe[input.ndim] + return apply_for_scriptable_torch(recipe, input, reduction_type="rearrange", axes_dims=self._axes_lengths) + + def _apply_recipe(self, x): + # overriding parent method to prevent it's scripting + pass + + +class Reduce(ReduceMixin, torch.nn.Module): + def forward(self, input): + recipe = self._multirecipe[input.ndim] + return apply_for_scriptable_torch(recipe, input, reduction_type=self.reduction, axes_dims=self._axes_lengths) + + def _apply_recipe(self, x): + # overriding parent method to prevent it's scripting + pass + + +class EinMix(_EinmixMixin, torch.nn.Module): + def _create_parameters(self, weight_shape, weight_bound, bias_shape, bias_bound): + self.weight = torch.nn.Parameter( + torch.zeros(weight_shape).uniform_(-weight_bound, weight_bound), requires_grad=True + ) + if bias_shape is not None: + self.bias = torch.nn.Parameter( + torch.zeros(bias_shape).uniform_(-bias_bound, bias_bound), requires_grad=True + ) + else: + self.bias = None + + def _create_rearrange_layers( + self, + pre_reshape_pattern: Optional[str], + pre_reshape_lengths: Optional[Dict], + post_reshape_pattern: Optional[str], + post_reshape_lengths: Optional[Dict], + ): + self.pre_rearrange = None + if pre_reshape_pattern is not None: + self.pre_rearrange = Rearrange(pre_reshape_pattern, **cast(dict, pre_reshape_lengths)) + + self.post_rearrange = None + if post_reshape_pattern is not None: + self.post_rearrange = Rearrange(post_reshape_pattern, **cast(dict, post_reshape_lengths)) + + def forward(self, input): + if self.pre_rearrange is not None: + input = self.pre_rearrange(input) + result = torch.einsum(self.einsum_pattern, input, self.weight) + if self.bias is not None: + result += self.bias + if self.post_rearrange is not None: + result = self.post_rearrange(result) + return result diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/packing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/packing.py new file mode 100644 index 0000000000000000000000000000000000000000..ef1b0e53e9569251fa65610afab50eb99c8ee988 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/packing.py @@ -0,0 +1,189 @@ +from functools import lru_cache +from typing import List, Sequence, Tuple, TypeVar, Union + +from einops import EinopsError +from einops._backends import get_backend +from einops.parsing import ParsedExpression + +Tensor = TypeVar("Tensor") + +Shape = Union[Tuple[int, ...], List[int]] + + +@lru_cache(maxsize=128) +def analyze_pattern(pattern: str, opname: str) -> Tuple[int, int, int]: + # Maybe some validation of identifiers? + axes = pattern.split() + axes_set = set(axes) + if len(axes) != len(axes_set): + raise EinopsError(f'Duplicates in axes names in {opname}(..., "{pattern}")') + if "*" not in axes_set: + raise EinopsError(f'No *-axis in {opname}(..., "{pattern}")') + for axis in axes: + if axis != "*": + is_valid, reason = ParsedExpression.check_axis_name_return_reason(axis) + if not is_valid: + raise EinopsError(f'Invalid axis name {axis} in {opname}(..., "{pattern}")') + n_axes_before = axes.index("*") + n_axes_after = len(axes) - n_axes_before - 1 + min_axes = n_axes_before + n_axes_after + return n_axes_before, n_axes_after, min_axes + + +def pack(tensors: Sequence[Tensor], pattern: str) -> Tuple[Tensor, List[Shape]]: + """ + Packs several tensors into one. + See einops tutorial for introduction into packing (and how it replaces stack and concatenation). + + Parameters: + tensors: tensors to be packed, can be of different dimensionality + pattern: pattern that is shared for all inputs and output, e.g. "i j * k" or "batch seq *" + + Returns: + (packed_tensor, packed_shapes aka PS) + + Example: + ```python + >>> from numpy import zeros as Z + >>> inputs = [Z([2, 3, 5]), Z([2, 3, 7, 5]), Z([2, 3, 7, 9, 5])] + >>> packed, ps = pack(inputs, 'i j * k') + >>> packed.shape, ps + ((2, 3, 71, 5), [(), (7,), (7, 9)]) + ``` + + In this example, axes were matched to: i=2, j=3, k=5 based on order (first, second, and last). + All other axes were 'packed' and concatenated. + PS (packed shapes) contains information about axes that were matched to '*' in every input. + Resulting tensor has as many elements as all inputs in total. + + Packing can be reversed with unpack, which additionally needs PS (packed shapes) to reconstruct order. + + ```python + >>> inputs_unpacked = unpack(packed, ps, 'i j * k') + >>> [x.shape for x in inputs_unpacked] + [(2, 3, 5), (2, 3, 7, 5), (2, 3, 7, 9, 5)] + ``` + + Read the tutorial for introduction and application scenarios. + """ + n_axes_before, n_axes_after, min_axes = analyze_pattern(pattern, "pack") + + # packing zero tensors is illegal + backend = get_backend(tensors[0]) + + reshaped_tensors: List[Tensor] = [] + packed_shapes: List[Shape] = [] + for i, tensor in enumerate(tensors): + shape = backend.shape(tensor) + if len(shape) < min_axes: + raise EinopsError( + f"packed tensor #{i} (enumeration starts with 0) has shape {shape}, " + f"while pattern {pattern} assumes at least {min_axes} axes" + ) + axis_after_packed_axes = len(shape) - n_axes_after + packed_shapes.append(shape[n_axes_before:axis_after_packed_axes]) + reshaped_tensors.append(backend.reshape(tensor, (*shape[:n_axes_before], -1, *shape[axis_after_packed_axes:]))) + + return backend.concat(reshaped_tensors, axis=n_axes_before), packed_shapes + + +def prod(x: Shape) -> int: + result = 1 + for i in x: + result *= i + return result + + +def unpack(tensor: Tensor, packed_shapes: List[Shape], pattern: str) -> List[Tensor]: + """ + Unpacks a single tensor into several by splitting over a selected axes. + See einops tutorial for introduction into packing (and how it replaces stack and concatenation). + + Parameters: + tensor: tensor to be unpacked + packed_shapes: packed_shapes (aka PS) is a list of shapes that take place of '*' in each output. + output will contain a single tensor for every provided shape + pattern: pattern that is shared for input and all outputs, e.g. "i j * k" or "batch seq *", + where * designates an axis to be unpacked + + Returns: + list of tensors + + If framework supports views, results are views to the original tensor. + + Example: + ```python + >>> from numpy import zeros as Z + >>> inputs = [Z([2, 3, 5]), Z([2, 3, 7, 5]), Z([2, 3, 7, 9, 5])] + >>> packed, ps = pack(inputs, 'i j * k') + >>> packed.shape, ps + ((2, 3, 71, 5), [(), (7,), (7, 9)]) + ``` + + In this example, axes were matched to: i=2, j=3, k=5 based on order (first, second, and last). + All other axes were 'packed' and concatenated. + PS (packed shapes) contains information about axes that were matched to '*' in every input. + Resulting tensor has as many elements as all inputs in total. + + Packing can be reversed with unpack, which additionally needs PS (packed shapes) to reconstruct order. + + ```python + >>> inputs_unpacked = unpack(packed, ps, 'i j * k') + >>> [x.shape for x in inputs_unpacked] + [(2, 3, 5), (2, 3, 7, 5), (2, 3, 7, 9, 5)] + ``` + + Read the tutorial for introduction and application scenarios. + """ + n_axes_before, n_axes_after, min_axes = analyze_pattern(pattern, opname="unpack") + + backend = get_backend(tensor) + input_shape = backend.shape(tensor) + if len(input_shape) != n_axes_before + 1 + n_axes_after: + raise EinopsError(f"unpack(..., {pattern}) received input of wrong dim with shape {input_shape}") + + unpacked_axis: int = n_axes_before + + lengths_of_composed_axes: List[int] = [-1 if -1 in p_shape else prod(p_shape) for p_shape in packed_shapes] + + n_unknown_composed_axes = sum(int(x == -1) for x in lengths_of_composed_axes) + if n_unknown_composed_axes > 1: + raise EinopsError( + f"unpack(..., {pattern}) received more than one -1 in {packed_shapes} and can't infer dimensions" + ) + + # following manipulations allow to skip some shape verifications + # and leave it to backends + + # [[], [2, 3], [4], [-1, 5], [6]] < examples of packed_axis + # split positions when computed should be + # [0, 1, 7, 11, N-6 , N ], where N = length of axis + split_positions = [0] * len(packed_shapes) + [input_shape[unpacked_axis]] + if n_unknown_composed_axes == 0: + for i, x in enumerate(lengths_of_composed_axes[:-1]): + split_positions[i + 1] = split_positions[i] + x + else: + unknown_composed_axis: int = lengths_of_composed_axes.index(-1) + for i in range(unknown_composed_axis): + split_positions[i + 1] = split_positions[i] + lengths_of_composed_axes[i] + for j in range(unknown_composed_axis + 1, len(lengths_of_composed_axes))[::-1]: + split_positions[j] = split_positions[j + 1] - lengths_of_composed_axes[j] + + shape_start = input_shape[:unpacked_axis] + shape_end = input_shape[unpacked_axis + 1 :] + slice_filler = (slice(None, None),) * unpacked_axis + try: + return [ + backend.reshape( + # shortest way slice arbitrary axis + tensor[(*slice_filler, slice(split_positions[i], split_positions[i + 1]))], + (*shape_start, *element_shape, *shape_end), + ) + for i, element_shape in enumerate(packed_shapes) + ] + except Exception as e: + # this hits if there is an error during reshapes, which means passed shapes were incorrect + raise EinopsError( + f'Error during unpack(..., "{pattern}"): could not split axis of size {split_positions[-1]}' + f" into requested {packed_shapes}" + ) from e diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/parsing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/parsing.py new file mode 100644 index 0000000000000000000000000000000000000000..2edd1d769a53cc5a44f5946b34f644c270257aa2 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/parsing.py @@ -0,0 +1,158 @@ +import keyword +import warnings +from typing import List, Optional, Set, Tuple, Union + +from einops import EinopsError + +_ellipsis: str = "…" # NB, this is a single unicode symbol. String is used as it is not a list, but can be iterated + + +class AnonymousAxis: + """Important thing: all instances of this class are not equal to each other""" + + def __init__(self, value: str): + self.value = int(value) + if self.value <= 1: + if self.value == 1: + raise EinopsError("No need to create anonymous axis of length 1. Report this as an issue") + else: + raise EinopsError(f"Anonymous axis should have positive length, not {self.value}") + + def __repr__(self): + return f"{str(self.value)}-axis" + + +class ParsedExpression: + """ + non-mutable structure that contains information about one side of expression (e.g. 'b c (h w)') + and keeps some information important for downstream + """ + + def __init__(self, expression: str, *, allow_underscore: bool = False, allow_duplicates: bool = False): + self.has_ellipsis: bool = False + self.has_ellipsis_parenthesized: Optional[bool] = None + self.identifiers: Set[str] = set() + # that's axes like 2, 3, 4 or 5. Axes with size 1 are exceptional and replaced with empty composition + self.has_non_unitary_anonymous_axes: bool = False + # composition keeps structure of composite axes, see how different corner cases are handled in tests + self.composition: List[Union[List[str], str]] = [] + if "." in expression: + if "..." not in expression: + raise EinopsError("Expression may contain dots only inside ellipsis (...)") + if str.count(expression, "...") != 1 or str.count(expression, ".") != 3: + raise EinopsError( + "Expression may contain dots only inside ellipsis (...); only one ellipsis for tensor " + ) + expression = expression.replace("...", _ellipsis) + self.has_ellipsis = True + + bracket_group: Optional[List[str]] = None + + def add_axis_name(x): + if x in self.identifiers: + if not (allow_underscore and x == "_") and not allow_duplicates: + raise EinopsError(f'Indexing expression contains duplicate dimension "{x}"') + if x == _ellipsis: + self.identifiers.add(_ellipsis) + if bracket_group is None: + self.composition.append(_ellipsis) + self.has_ellipsis_parenthesized = False + else: + bracket_group.append(_ellipsis) + self.has_ellipsis_parenthesized = True + else: + is_number = str.isdecimal(x) + if is_number and int(x) == 1: + # handling the case of anonymous axis of length 1 + if bracket_group is None: + self.composition.append([]) + else: + pass # no need to think about 1s inside parenthesis + return + is_axis_name, reason = self.check_axis_name_return_reason(x, allow_underscore=allow_underscore) + if not (is_number or is_axis_name): + raise EinopsError(f"Invalid axis identifier: {x}\n{reason}") + if is_number: + x = AnonymousAxis(x) + self.identifiers.add(x) + if is_number: + self.has_non_unitary_anonymous_axes = True + if bracket_group is None: + self.composition.append([x]) + else: + bracket_group.append(x) + + current_identifier = None + for char in expression: + if char in "() ": + if current_identifier is not None: + add_axis_name(current_identifier) + current_identifier = None + if char == "(": + if bracket_group is not None: + raise EinopsError("Axis composition is one-level (brackets inside brackets not allowed)") + bracket_group = [] + elif char == ")": + if bracket_group is None: + raise EinopsError("Brackets are not balanced") + self.composition.append(bracket_group) + bracket_group = None + elif str.isalnum(char) or char in ["_", _ellipsis]: + if current_identifier is None: + current_identifier = char + else: + current_identifier += char + else: + raise EinopsError(f"Unknown character '{char}'") + + if bracket_group is not None: + raise EinopsError(f'Imbalanced parentheses in expression: "{expression}"') + if current_identifier is not None: + add_axis_name(current_identifier) + + def flat_axes_order(self) -> List: + result = [] + for composed_axis in self.composition: + assert isinstance(composed_axis, list), "does not work with ellipsis" + for axis in composed_axis: + result.append(axis) + return result + + def has_composed_axes(self) -> bool: + # this will ignore 1 inside brackets + for axes in self.composition: + if isinstance(axes, list) and len(axes) > 1: + return True + return False + + @staticmethod + def check_axis_name_return_reason(name: str, allow_underscore: bool = False) -> Tuple[bool, str]: + if not str.isidentifier(name): + return False, "not a valid python identifier" + elif name[0] == "_" or name[-1] == "_": + if name == "_" and allow_underscore: + return True, "" + return False, "axis name should should not start or end with underscore" + else: + if keyword.iskeyword(name): + warnings.warn( + f"It is discouraged to use axes names that are keywords: {name}", + RuntimeWarning, + stacklevel=2, + ) + if name in ["axis"]: + warnings.warn( + "It is discouraged to use 'axis' as an axis name and will raise an error in future", + FutureWarning, + stacklevel=2, + ) + return True, "" + + @staticmethod + def check_axis_name(name: str) -> bool: + """ + Valid axes names are python identifiers except keywords, + and additionally should not start or end with underscore + """ + is_valid, _reason = ParsedExpression.check_axis_name_return_reason(name) + return is_valid diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c244c1816a26b871acc4194c9f500027fea481ad --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/__init__.py @@ -0,0 +1,109 @@ +""" +Common utils for testing. +These functions allow testing only some frameworks, not all. +""" + +import logging +import os +import warnings +from functools import lru_cache +from typing import List, Tuple + +from einops import _backends + +__author__ = "Alex Rogozhnikov" + + +# minimize noise in tests logging +logging.getLogger("tensorflow").disabled = True +logging.getLogger("matplotlib").disabled = True + +FLOAT_REDUCTIONS = ("min", "max", "sum", "mean", "prod") # not includes any/all + + +def find_names_of_all_frameworks() -> List[str]: + backend_subclasses = [] + backends = _backends.AbstractBackend.__subclasses__() + while backends: + backend = backends.pop() + backends += backend.__subclasses__() + backend_subclasses.append(backend) + return [b.framework_name for b in backend_subclasses] + + +ENVVAR_NAME = "EINOPS_TEST_BACKENDS" + + +def unparse_backends(backend_names: List[str]) -> Tuple[str, str]: + _known_backends = find_names_of_all_frameworks() + for backend_name in backend_names: + if backend_name not in _known_backends: + raise RuntimeError(f"Unknown framework: {backend_name}") + return ENVVAR_NAME, ",".join(backend_names) + + +@lru_cache(maxsize=1) +def parse_backends_to_test() -> List[str]: + if ENVVAR_NAME not in os.environ: + raise RuntimeError(f"Testing frameworks were not specified, env var {ENVVAR_NAME} not set") + parsed_backends = os.environ[ENVVAR_NAME].split(",") + _known_backends = find_names_of_all_frameworks() + for backend_name in parsed_backends: + if backend_name not in _known_backends: + raise RuntimeError(f"Unknown framework: {backend_name}") + + return parsed_backends + + +def is_backend_tested(backend: str) -> bool: + """Used to skip test if corresponding backend is not tested""" + if backend not in find_names_of_all_frameworks(): + raise RuntimeError(f"Unknown framework {backend}") + return backend in parse_backends_to_test() + + +def collect_test_backends(symbolic=False, layers=False) -> List[_backends.AbstractBackend]: + """ + :param symbolic: symbolic or imperative frameworks? + :param layers: layers or operations? + :return: list of backends satisfying set conditions + """ + if not symbolic: + if not layers: + backend_types = [ + _backends.NumpyBackend, + _backends.JaxBackend, + _backends.TorchBackend, + _backends.TensorflowBackend, + _backends.OneFlowBackend, + _backends.PaddleBackend, + _backends.CupyBackend, + ] + else: + backend_types = [ + _backends.TorchBackend, + _backends.OneFlowBackend, + _backends.PaddleBackend, + ] + else: + if not layers: + backend_types = [ + _backends.PyTensorBackend, + ] + else: + backend_types = [ + _backends.TFKerasBackend, + ] + + backend_names_to_test = parse_backends_to_test() + result = [] + for backend_type in backend_types: + if backend_type.framework_name not in backend_names_to_test: + continue + try: + result.append(backend_type()) + except ImportError: + # problem with backend installation fails a specific test function, + # but will be skipped in all other test cases + warnings.warn(f"backend could not be initialized for tests: {backend_type}", stacklevel=1) + return result diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/run_tests.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/run_tests.py new file mode 100644 index 0000000000000000000000000000000000000000..275d801d14fc7cfa6b7baed7b55a2c0fe5f88d3f --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/run_tests.py @@ -0,0 +1,89 @@ +""" +Runs tests that are appropriate for framework. +""" + +import os +import sys +from pathlib import Path +from subprocess import Popen + +__author__ = "Alex Rogozhnikov" + + +def run(cmd, **env): + # keeps printing output when testing + cmd = cmd.split(" ") if isinstance(cmd, str) else cmd + print("running:", cmd) + p = Popen(cmd, cwd=str(Path(__file__).parent), env={**os.environ, **env}) + p.communicate() + return p.returncode + + +def main(): + _executable, *args = sys.argv + frameworks = [x for x in args if x != "--pip-install"] + pip_install_is_set = "--pip-install" in args + framework_name2installation = { + "numpy": ["numpy"], + "torch": ["torch --index-url https://download.pytorch.org/whl/cpu"], + "jax": ["jax[cpu]", "flax"], + "tensorflow": ["tensorflow"], + "cupy": ["cupy"], + # switch to stable paddlepaddle, because of https://github.com/PaddlePaddle/Paddle/issues/63927 + # "paddle": ["paddlepaddle==0.0.0 -f https://www.paddlepaddle.org.cn/whl/linux/cpu-mkl/develop.html"], + "paddle": ["paddlepaddle"], + "oneflow": ["oneflow==0.9.0"], + "pytensor": ["pytensor"], + } + if sys.platform == "darwin": + framework_name2installation["mlx"] = ["mlx"] + if sys.platform.startswith("linux"): + framework_name2installation["mlx"] = ["mlx[cpu]"] + + usage = f""" + Usage: python -m einops.tests.run_tests [--pip-install] + Example: python -m einops.tests.run_tests numpy pytorch --pip-install + + Available frameworks: {list(framework_name2installation)} + When --pip-install is set, auto-installs requirements with pip. + (make sure which pip points to right pip) + """ + if len(frameworks) == 0: + print(usage) + return + else: + synonyms = { + "tf": "tensorflow", + "pytorch": "torch", + "paddlepaddle": "paddle", + } + frameworks = [synonyms.get(f, f) for f in frameworks] + wrong_frameworks = [f for f in frameworks if f not in framework_name2installation] + if wrong_frameworks: + print(usage) + raise RuntimeError(f"Unrecognized frameworks: {wrong_frameworks}") + + if pip_install_is_set: + print("Install testing infra") + other_dependencies = ["pytest"] + assert 0 == run("pip install {} --progress-bar off -q".format(" ".join(other_dependencies))) + + for framework in frameworks: + print(f"Installing {framework}") + pip_instructions = framework_name2installation[framework] + assert 0 == run("pip install {} --progress-bar off -q".format(" ".join(pip_instructions))) + + # we need to inform testing script which frameworks to use + # this is done by setting an envvar EINOPS_TEST_BACKENDS + from einops.tests import unparse_backends + + envvar_name, envvar_value = unparse_backends(backend_names=frameworks) + return_code = run( + "python -m pytest .", + **{envvar_name: envvar_value}, + ) + assert return_code == 0 + + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_einsum.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_einsum.py new file mode 100644 index 0000000000000000000000000000000000000000..ad8cc48309a09bf1c657880e0ab8f17f53c93bf4 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_einsum.py @@ -0,0 +1,356 @@ +import string +from typing import Any, Callable + +import numpy as np +import pytest + +from einops.einops import EinopsError, _compactify_pattern_for_einsum, einsum +from einops.tests import collect_test_backends + + +class Arguments: + def __init__(self, *args: Any, **kargs: Any): + self.args = args + self.kwargs = kargs + + def __call__(self, function: Callable): + return function(*self.args, **self.kwargs) + + +test_layer_cases = [ + ( + Arguments("b c_in h w -> w c_out h b", "c_in c_out", bias_shape=None, c_out=13, c_in=12), + (2, 12, 3, 4), + (4, 13, 3, 2), + ), + ( + Arguments("b c_in h w -> w c_out h b", "c_in c_out", bias_shape="c_out", c_out=13, c_in=12), + (2, 12, 3, 4), + (4, 13, 3, 2), + ), + ( + Arguments("b c_in h w -> w c_in h b", "", bias_shape=None, c_in=12), + (2, 12, 3, 4), + (4, 12, 3, 2), + ), + ( + Arguments("b c_in h w -> b c_out", "c_in h w c_out", bias_shape=None, c_in=12, h=3, w=4, c_out=5), + (2, 12, 3, 4), + (2, 5), + ), + ( + Arguments("b t head c_in -> b t head c_out", "head c_in c_out", bias_shape=None, head=4, c_in=5, c_out=6), + (2, 3, 4, 5), + (2, 3, 4, 6), + ), +] + + +# Each of the form: +# (Arguments, true_einsum_pattern, in_shapes, out_shape) +test_functional_cases = [ + ( + # Basic: + "b c h w, b w -> b h", + "abcd,ad->ac", + ((2, 3, 4, 5), (2, 5)), + (2, 4), + ), + ( + # Three tensors: + "b c h w, b w, b c -> b h", + "abcd,ad,ab->ac", + ((2, 3, 40, 5), (2, 5), (2, 3)), + (2, 40), + ), + ( + # Ellipsis, and full names: + "... one two three, three four five -> ... two five", + "...abc,cde->...be", + ((32, 5, 2, 3, 4), (4, 5, 6)), + (32, 5, 3, 6), + ), + ( + # Ellipsis at the end: + "one two three ..., three four five -> two five ...", + "abc...,cde->be...", + ((2, 3, 4, 32, 5), (4, 5, 6)), + (3, 6, 32, 5), + ), + ( + # Ellipsis on multiple tensors: + "... one two three, ... three four five -> ... two five", + "...abc,...cde->...be", + ((32, 5, 2, 3, 4), (32, 5, 4, 5, 6)), + (32, 5, 3, 6), + ), + ( + # One tensor, and underscores: + "first_tensor second_tensor -> first_tensor", + "ab->a", + ((5, 4),), + (5,), + ), + ( + # Trace (repeated index) + "i i -> ", + "aa->", + ((5, 5),), + (), + ), + ( + # Too many spaces in string: + " one two , three four->two four ", + "ab,cd->bd", + ((2, 3), (4, 5)), + (3, 5), + ), + # The following tests were inspired by numpy's einsum tests + # https://github.com/numpy/numpy/blob/v1.23.0/numpy/core/tests/test_einsum.py + ( + # Trace with other indices + "i middle i -> middle", + "aba->b", + ((5, 10, 5),), + (10,), + ), + ( + # Ellipsis in the middle: + "i ... i -> ...", + "a...a->...", + ((5, 3, 2, 1, 4, 5),), + (3, 2, 1, 4), + ), + ( + # Product of first and last axes: + "i ... i -> i ...", + "a...a->a...", + ((5, 3, 2, 1, 4, 5),), + (5, 3, 2, 1, 4), + ), + ( + # Triple diagonal + "one one one -> one", + "aaa->a", + ((5, 5, 5),), + (5,), + ), + ( + # Axis swap: + "i j k -> j i k", + "abc->bac", + ((1, 2, 3),), + (2, 1, 3), + ), + ( + # Identity: + "... -> ...", + "...->...", + ((5, 4, 3, 2, 1),), + (5, 4, 3, 2, 1), + ), + ( + # Elementwise product of three tensors + "..., ..., ... -> ...", + "...,...,...->...", + ((3, 2), (3, 2), (3, 2)), + (3, 2), + ), + ( + # Basic summation: + "index ->", + "a->", + ((10,)), + (()), + ), +] + + +def test_layer(): + for backend in collect_test_backends(layers=True, symbolic=False): + rng = np.random.default_rng() + if backend.framework_name in ["tensorflow", "torch", "oneflow", "paddle"]: + layer_type = backend.layers().EinMix + for args, in_shape, out_shape in test_layer_cases: + layer = args(layer_type) + print("Running", layer.einsum_pattern, "for", backend.framework_name) + input = rng.uniform(size=in_shape).astype("float32") + input_framework = backend.from_numpy(input) + output_framework = layer(input_framework) + output = backend.to_numpy(output_framework) + assert output.shape == out_shape + + +valid_backends_functional = [ + "tensorflow", + "torch", + "jax", + "numpy", + "oneflow", + "cupy", + "tensorflow.keras", + "paddle", + "pytensor", + "mlx", +] + + +def test_functional(): + # Functional tests: + backends = filter(lambda x: x.framework_name in valid_backends_functional, collect_test_backends()) + for backend in backends: + for einops_pattern, true_pattern, in_shapes, out_shape in test_functional_cases: + print(f"Running '{einops_pattern}' for {backend.framework_name}") + + # Create pattern: + predicted_pattern = _compactify_pattern_for_einsum(einops_pattern) + assert predicted_pattern == true_pattern + + # Generate example data: + rstate = np.random.RandomState(0) + in_arrays = [rstate.uniform(size=shape).astype("float32") for shape in in_shapes] + in_arrays_framework = [backend.from_numpy(array) for array in in_arrays] + + # Loop over whether we call it manually with the backend, + # or whether we use `einops.einsum`. + for do_manual_call in [True, False]: + # Actually run einsum: + if do_manual_call: + out_array = backend.einsum(predicted_pattern, *in_arrays_framework) + else: + out_array = einsum(*in_arrays_framework, einops_pattern) + + # Check shape: + if tuple(out_array.shape) != out_shape: + raise ValueError(f"Expected output shape {out_shape} but got {out_array.shape}") + + # Check values: + true_out_array = np.einsum(true_pattern, *in_arrays) + predicted_out_array = backend.to_numpy(out_array) + np.testing.assert_array_almost_equal(predicted_out_array, true_out_array, decimal=5) + + +def test_functional_symbolic(): + backends = filter( + lambda x: x.framework_name in valid_backends_functional, collect_test_backends(symbolic=True, layers=False) + ) + for backend in backends: + for einops_pattern, true_pattern, in_shapes, out_shape in test_functional_cases: + print(f"Running '{einops_pattern}' for symbolic {backend.framework_name}") + # Create pattern: + predicted_pattern = _compactify_pattern_for_einsum(einops_pattern) + assert predicted_pattern == true_pattern + + rstate = np.random.RandomState(0) + in_syms = [backend.create_symbol(in_shape) for in_shape in in_shapes] + in_data = [rstate.uniform(size=in_shape).astype("float32") for in_shape in in_shapes] + + expected_out_data = np.einsum(true_pattern, *in_data) + + for do_manual_call in [True, False]: + if do_manual_call: + predicted_out_symbol = backend.einsum(predicted_pattern, *in_syms) + else: + predicted_out_symbol = einsum(*in_syms, einops_pattern) + + predicted_out_data = backend.eval_symbol( + predicted_out_symbol, + list(zip(in_syms, in_data)), + ) + if predicted_out_data.shape != out_shape: + raise ValueError(f"Expected output shape {out_shape} but got {predicted_out_data.shape}") + np.testing.assert_array_almost_equal(predicted_out_data, expected_out_data, decimal=5) + + +def test_functional_errors(): + # Specific backend does not matter, as errors are raised + # during the pattern creation. + + rstate = np.random.RandomState(0) + + def create_tensor(*shape): + return rstate.uniform(size=shape).astype("float32") + + # raise NotImplementedError("Singleton () axes are not yet supported in einsum.") + with pytest.raises(NotImplementedError, match="^Singleton"): + einsum( + create_tensor(5, 1), + "i () -> i", + ) + + # raise NotImplementedError("Shape rearrangement is not yet supported in einsum.") + with pytest.raises(NotImplementedError, match="^Shape rearrangement"): + einsum( + create_tensor(5, 1), + "a b -> (a b)", + ) + + with pytest.raises(NotImplementedError, match="^Shape rearrangement"): + einsum( + create_tensor(10, 1), + "(a b) -> a b", + ) + + # raise RuntimeError("Encountered empty axis name in einsum.") + # raise RuntimeError("Axis name in einsum must be a string.") + # ^ Not tested, these are just a failsafe in case an unexpected error occurs. + + # raise NotImplementedError("Anonymous axes are not yet supported in einsum.") + with pytest.raises(NotImplementedError, match="^Anonymous axes"): + einsum( + create_tensor(5, 1), + "i 2 -> i", + ) + + # ParsedExpression error: + with pytest.raises(EinopsError, match="^Invalid axis identifier"): + einsum( + create_tensor(5, 1), + "i 2j -> i", + ) + + # raise ValueError("Einsum pattern must contain '->'.") + with pytest.raises(ValueError, match="^Einsum pattern"): + einsum( + create_tensor(5, 3, 2), + "i j k", + ) + + # raise RuntimeError("Too many axes in einsum.") + with pytest.raises(RuntimeError, match="^Too many axes"): + einsum( + create_tensor(1), + " ".join(string.ascii_letters) + " extra ->", + ) + + # raise RuntimeError("Unknown axis on right side of einsum.") + with pytest.raises(RuntimeError, match="^Unknown axis"): + einsum( + create_tensor(5, 1), + "i j -> k", + ) + + # raise ValueError( + # "The last argument passed to `einops.einsum` must be a string," + # " representing the einsum pattern." + # ) + with pytest.raises(ValueError, match="^The last argument"): + einsum( + "i j k -> i", + create_tensor(5, 4, 3), + ) + + # raise ValueError( + # "`einops.einsum` takes at minimum two arguments: the tensors," + # " followed by the pattern." + # ) + with pytest.raises(ValueError, match="^`einops.einsum` takes"): + einsum( + "i j k -> i", + ) + with pytest.raises(ValueError, match="^`einops.einsum` takes"): + einsum( + create_tensor(5, 1), + ) + + # TODO: Include check for giving normal einsum pattern rather than einops. diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_examples.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_examples.py new file mode 100644 index 0000000000000000000000000000000000000000..fd26b3798ca8d7dbfc110ca055a70d3a029a2375 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_examples.py @@ -0,0 +1,297 @@ +import numpy as np +import pytest + +from einops import parse_shape, rearrange, reduce +from einops.tests import is_backend_tested +from einops.tests.test_ops import imp_op_backends + + +def test_rearrange_examples(): + def test1(x): + # transpose + y = rearrange(x, "b c h w -> b h w c") + assert tuple(y.shape) == (10, 30, 40, 20) + return y + + def test2(x): + # view / reshape + y = rearrange(x, "b c h w -> b (c h w)") + assert tuple(y.shape) == (10, 20 * 30 * 40) + return y + + def test3(x): + # depth-to-space + y = rearrange(x, "b (c h1 w1) h w -> b c (h h1) (w w1)", h1=2, w1=2) + assert tuple(y.shape) == (10, 5, 30 * 2, 40 * 2) + return y + + def test4(x): + # space-to-depth + y = rearrange(x, "b c (h h1) (w w1) -> b (h1 w1 c) h w", h1=2, w1=2) + assert tuple(y.shape) == (10, 20 * 4, 30 // 2, 40 // 2) + return y + + def test5(x): + # simple transposition + y = rearrange(x, "b1 sound b2 letter -> b1 b2 sound letter") + assert tuple(y.shape) == (10, 30, 20, 40) + return y + + def test6(x): + # parsing parameters + t = rearrange(x, "b c h w -> (b h w) c") + t = t[:, ::2] # replacement for dot-product, just changes size of second axis + assert tuple(t.shape) == (10 * 30 * 40, 10) + + y = rearrange(t, "(b h w) c2 -> b c2 h w", **parse_shape(x, "b _ h w")) + assert tuple(y.shape) == (10, 10, 30, 40) + return y + + def test7(x): + # split of embedding into groups + y1, y2 = rearrange(x, "b (c g) h w -> g b c h w", g=2) + assert tuple(y1.shape) == (10, 10, 30, 40) + assert tuple(y2.shape) == (10, 10, 30, 40) + return y1 + y2 # only one tensor is expected in output + + def test8(x): + # max-pooling + y = reduce(x, "b c (h h1) (w w1) -> b c h w", reduction="max", h1=2, w1=2) + assert tuple(y.shape) == (10, 20, 30 // 2, 40 // 2) + return y + + def test9(x): + # squeeze - unsqueeze + y = reduce(x, "b c h w -> b c () ()", reduction="max") + assert tuple(y.shape) == (10, 20, 1, 1) + y = rearrange(y, "b c () () -> c b") + assert tuple(y.shape) == (20, 10) + return y + + def test10(x): + # stack + tensors = list(x + 0) # 0 is needed https://github.com/tensorflow/tensorflow/issues/23185 + tensors = rearrange(tensors, "b c h w -> b h w c") + assert tuple(tensors.shape) == (10, 30, 40, 20) + return tensors + + def test11(x): + # concatenate + tensors = list(x + 0) # 0 is needed https://github.com/tensorflow/tensorflow/issues/23185 + tensors = rearrange(tensors, "b c h w -> h (b w) c") + assert tuple(tensors.shape) == (30, 10 * 40, 20) + return tensors + + def shufflenet(x, convolve, c1, c2): + # shufflenet reordering example + x = convolve(x) + x = rearrange(x, "b (c1 c2) h w-> b (c2 c1) h w", c1=c1, c2=c2) + x = convolve(x) + return x + + def convolve_strided_1d(x, stride, usual_convolution): + x = rearrange(x, "b c t1 t2 -> b c (t1 t2)") # reduce dimensionality + x = rearrange(x, "b c (t stride) -> (stride b) c t", stride=stride) + x = usual_convolution(x) + x = rearrange(x, "(stride b) c t -> b c (t stride)", stride=stride) + return x + + def convolve_strided_2d(x, h_stride, w_stride, usual_convolution): + x = rearrange(x, "b c (h hs) (w ws) -> (hs ws b) c h w", hs=h_stride, ws=w_stride) + x = usual_convolution(x) + x = rearrange(x, "(hs ws b) c h w -> b c (h hs) (w ws)", hs=h_stride, ws=w_stride) + return x + + def unet_like_1d(x, usual_convolution): + # u-net like steps for increasing / reducing dimensionality + x = rearrange(x, "b c t1 t2 -> b c (t1 t2)") # reduce dimensionality + y = rearrange(x, "b c (t dt) -> b (dt c) t", dt=2) + y = usual_convolution(y) + x = x + rearrange(y, "b (dt c) t -> b c (t dt)", dt=2) + return x + + # mock for convolution (works for all backends) + def convolve_mock(x): + return x + + tests = [ + test1, + test2, + test3, + test4, + test5, + test6, + test7, + test8, + test9, + test10, + test11, + lambda x: shufflenet(x, convolve=convolve_mock, c1=4, c2=5), + lambda x: convolve_strided_1d(x, stride=2, usual_convolution=convolve_mock), + lambda x: convolve_strided_2d(x, h_stride=2, w_stride=2, usual_convolution=convolve_mock), + lambda x: unet_like_1d(x, usual_convolution=convolve_mock), + ] + + for backend in imp_op_backends: + print("testing source_examples for ", backend.framework_name) + for test in tests: + x = np.arange(10 * 20 * 30 * 40).reshape([10, 20, 30, 40]) + result1 = test(x) + result2 = backend.to_numpy(test(backend.from_numpy(x))) + assert np.array_equal(result1, result2) + + # now with strides + x = np.arange(10 * 2 * 20 * 3 * 30 * 1 * 40).reshape([10 * 2, 20 * 3, 30 * 1, 40 * 1]) + # known torch bug - torch doesn't support negative steps + last_step = -1 if (backend.framework_name != "torch" and backend.framework_name != "oneflow") else 1 + indexing_expression = np.index_exp[::2, ::3, ::1, ::last_step] + result1 = test(x[indexing_expression]) + result2 = backend.to_numpy(test(backend.from_numpy(x)[indexing_expression])) + assert np.array_equal(result1, result2) + + +def tensor_train_example_numpy(): + # kept here just for a collection, only tested for numpy + # https://arxiv.org/pdf/1509.06569.pdf, (5) + x = np.ones([3, 4, 5, 6]) + rank = 4 + if np.__version__ < "1.15.0": + # numpy.einsum fails here, skip test + return + # creating appropriate Gs + Gs = [np.ones([d, d, rank, rank]) for d in x.shape] + Gs[0] = Gs[0][:, :, :1, :] + Gs[-1] = Gs[-1][:, :, :, :1] + + # einsum way + y = x.reshape((1, *x.shape)) + for G in Gs: + # taking partial results left-to-right + # y = numpy.einsum('i j alpha beta, alpha i ... -> beta ... j', G, y) + y = np.einsum("i j a b, a i ... -> b ... j", G, y) + y1 = y.reshape(-1) + + # alternative way + y = x.reshape(-1) + for G in Gs: + i, j, alpha, beta = G.shape + y = rearrange(y, "(i rest alpha) -> rest (alpha i)", alpha=alpha, i=i) + y = y @ rearrange(G, "i j alpha beta -> (alpha i) (j beta)") + y = rearrange(y, "rest (beta j) -> (beta rest j)", beta=beta, j=j) + y2 = y + assert np.allclose(y1, y2) + + # yet another way + y = x + for G in Gs: + i, j, alpha, beta = G.shape + y = rearrange(y, "i ... (j alpha) -> ... j (alpha i)", alpha=alpha, i=i) + y = y @ rearrange(G, "i j alpha beta -> (alpha i) (j beta)") + y3 = y.reshape(-1) + assert np.allclose(y1, y3) + + +def test_pytorch_yolo_fragment(): + if not is_backend_tested("torch"): + pytest.skip() + + import torch + + def old_way(tensor, num_classes, num_anchors, anchors, stride_h, stride_w): + # https://github.com/BobLiu20/YOLOv3_PyTorch/blob/c6b483743598b5f64d520d81e7e5f47ba936d4c9/nets/yolo_loss.py#L28-L44 + bs = tensor.size(0) + in_h = tensor.size(2) + in_w = tensor.size(3) + scaled_anchors = [(a_w / stride_w, a_h / stride_h) for a_w, a_h in anchors] + + prediction = tensor.view(bs, num_anchors, 5 + num_classes, in_h, in_w).permute(0, 1, 3, 4, 2).contiguous() + # Get outputs + x = torch.sigmoid(prediction[..., 0]) # Center x + y = torch.sigmoid(prediction[..., 1]) # Center y + w = prediction[..., 2] # Width + h = prediction[..., 3] # Height + conf = torch.sigmoid(prediction[..., 4]) # Conf + pred_cls = torch.sigmoid(prediction[..., 5:]) # Cls pred. + + # https://github.com/BobLiu20/YOLOv3_PyTorch/blob/c6b483743598b5f64d520d81e7e5f47ba936d4c9/nets/yolo_loss.py#L70-L92 + FloatTensor = torch.cuda.FloatTensor if x.is_cuda else torch.FloatTensor + LongTensor = torch.cuda.LongTensor if x.is_cuda else torch.LongTensor + # Calculate offsets for each grid + grid_x = ( + torch.linspace(0, in_w - 1, in_w) + .repeat(in_w, 1) + .repeat(bs * num_anchors, 1, 1) + .view(x.shape) + .type(FloatTensor) + ) + grid_y = ( + torch.linspace(0, in_h - 1, in_h) + .repeat(in_h, 1) + .t() + .repeat(bs * num_anchors, 1, 1) + .view(y.shape) + .type(FloatTensor) + ) + # Calculate anchor w, h + anchor_w = FloatTensor(scaled_anchors).index_select(1, LongTensor([0])) + anchor_h = FloatTensor(scaled_anchors).index_select(1, LongTensor([1])) + anchor_w = anchor_w.repeat(bs, 1).repeat(1, 1, in_h * in_w).view(w.shape) + anchor_h = anchor_h.repeat(bs, 1).repeat(1, 1, in_h * in_w).view(h.shape) + # Add offset and scale with anchors + pred_boxes = FloatTensor(prediction[..., :4].shape) + pred_boxes[..., 0] = x.data + grid_x + pred_boxes[..., 1] = y.data + grid_y + pred_boxes[..., 2] = torch.exp(w.data) * anchor_w + pred_boxes[..., 3] = torch.exp(h.data) * anchor_h + # Results + _scale = torch.Tensor([stride_w, stride_h] * 2).type(FloatTensor) + output = torch.cat( + (pred_boxes.view(bs, -1, 4) * _scale, conf.view(bs, -1, 1), pred_cls.view(bs, -1, num_classes)), -1 + ) + return output + + def new_way(tensor, num_classes, num_anchors, anchors, stride_h, stride_w): + raw_predictions = rearrange(tensor, " b (anchor prediction) h w -> prediction b anchor h w", anchor=num_anchors) + + anchors = torch.FloatTensor(anchors).to(tensor.device) + anchor_sizes = rearrange(anchors, "anchor dim -> dim () anchor () ()") + + _, _, _, in_h, in_w = raw_predictions.shape + grid_h = rearrange(torch.arange(in_h).float(), "h -> () () h ()").to(tensor.device) + grid_w = rearrange(torch.arange(in_w).float(), "w -> () () () w").to(tensor.device) + + predicted_bboxes = torch.zeros_like(raw_predictions) + predicted_bboxes[0] = (raw_predictions[0].sigmoid() + grid_h) * stride_h # center y + predicted_bboxes[1] = (raw_predictions[1].sigmoid() + grid_w) * stride_w # center x + predicted_bboxes[2:4] = (raw_predictions[2:4].exp()) * anchor_sizes # bbox width and height + predicted_bboxes[4] = raw_predictions[4].sigmoid() # confidence + predicted_bboxes[5:] = raw_predictions[5:].sigmoid() # class predictions + # only to match results of original code, not needed + return rearrange(predicted_bboxes, "prediction b anchor h w -> b anchor h w prediction") + + stride_h = 4 + stride_w = 4 + batch_size = 5 + num_classes = 12 + anchors = [[50, 100], [100, 50], [75, 75]] + num_anchors = len(anchors) + + x = torch.randn([batch_size, num_anchors * (5 + num_classes), 1, 1]) + result1 = old_way( + tensor=x, + num_anchors=num_anchors, + num_classes=num_classes, + stride_h=stride_h, + stride_w=stride_w, + anchors=anchors, + ) + result2 = new_way( + tensor=x, + num_anchors=num_anchors, + num_classes=num_classes, + stride_h=stride_h, + stride_w=stride_w, + anchors=anchors, + ) + result1 = result1.reshape(result2.shape) + assert torch.allclose(result1, result2) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_layers.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_layers.py new file mode 100644 index 0000000000000000000000000000000000000000..b0796ec9a3a4fc31dae8e24a8e6231e3d7cd199c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_layers.py @@ -0,0 +1,480 @@ +import pickle +from collections import namedtuple + +import numpy as np +import pytest + +from einops import EinopsError, rearrange, reduce +from einops.tests import FLOAT_REDUCTIONS as REDUCTIONS +from einops.tests import collect_test_backends, is_backend_tested + +__author__ = "Alex Rogozhnikov" + +testcase = namedtuple("testcase", ["pattern", "axes_lengths", "input_shape", "wrong_shapes"]) + +rearrangement_patterns = [ + testcase( + "b c h w -> b (c h w)", + dict(c=20), + (10, 20, 30, 40), + [(), (10,), (10, 10, 10), (10, 21, 30, 40), [1, 20, 1, 1, 1]], + ), + testcase( + "b c (h1 h2) (w1 w2) -> b (c h2 w2) h1 w1", + dict(h2=2, w2=2), + (10, 20, 30, 40), + [(), (1, 1, 1, 1), (1, 10, 3), ()], + ), + testcase( + "b ... c -> c b ...", + dict(b=10), + (10, 20, 30), + [(), (10,), (5, 10)], + ), +] + + +def test_rearrange_imperative(): + for backend in collect_test_backends(symbolic=False, layers=True): + print("Test layer for ", backend.framework_name) + + for pattern, axes_lengths, input_shape, wrong_shapes in rearrangement_patterns: + x = np.arange(np.prod(input_shape), dtype="float32").reshape(input_shape) + result_numpy = rearrange(x, pattern, **axes_lengths) + layer = backend.layers().Rearrange(pattern, **axes_lengths) + for shape in wrong_shapes: + try: + layer(backend.from_numpy(np.zeros(shape, dtype="float32"))) + except BaseException: + pass + else: + raise AssertionError("Failure expected") + + # simple pickling / unpickling + layer2 = pickle.loads(pickle.dumps(layer)) + result1 = backend.to_numpy(layer(backend.from_numpy(x))) + result2 = backend.to_numpy(layer2(backend.from_numpy(x))) + assert np.allclose(result_numpy, result1) + assert np.allclose(result1, result2) + + just_sum = backend.layers().Reduce("...->", reduction="sum") + + variable = backend.from_numpy(x) + result = just_sum(layer(variable)) + + result.backward() + assert np.allclose(backend.to_numpy(variable.grad), 1) + + +def test_rearrange_symbolic(): + for backend in collect_test_backends(symbolic=True, layers=True): + print("Test layer for ", backend.framework_name) + + for pattern, axes_lengths, input_shape, _wrong_shapes in rearrangement_patterns: + x = np.arange(np.prod(input_shape), dtype="float32").reshape(input_shape) + result_numpy = rearrange(x, pattern, **axes_lengths) + layer = backend.layers().Rearrange(pattern, **axes_lengths) + input_shape_of_nones = [None] * len(input_shape) + shapes = [input_shape, input_shape_of_nones] + + for shape in shapes: + symbol = backend.create_symbol(shape) + eval_inputs = [(symbol, x)] + + result_symbol1 = layer(symbol) + result1 = backend.eval_symbol(result_symbol1, eval_inputs) + assert np.allclose(result_numpy, result1) + + layer2 = pickle.loads(pickle.dumps(layer)) + result_symbol2 = layer2(symbol) + result2 = backend.eval_symbol(result_symbol2, eval_inputs) + assert np.allclose(result1, result2) + + # now testing back-propagation + just_sum = backend.layers().Reduce("...->", reduction="sum") + + result_sum1 = backend.eval_symbol(just_sum(result_symbol1), eval_inputs) + result_sum2 = np.sum(x) + + assert np.allclose(result_sum1, result_sum2) + + +reduction_patterns = [ + *rearrangement_patterns, + testcase("b c h w -> b ()", dict(b=10), (10, 20, 30, 40), [(10,), (10, 20, 30)]), + testcase("b c (h1 h2) (w1 w2) -> b c h1 w1", dict(h1=15, h2=2, w2=2), (10, 20, 30, 40), [(10, 20, 31, 40)]), + testcase("b ... c -> b", dict(b=10), (10, 20, 30, 40), [(10,), (11, 10)]), +] + + +def test_reduce_imperative(): + for backend in collect_test_backends(symbolic=False, layers=True): + print("Test layer for ", backend.framework_name) + for reduction in REDUCTIONS: + for pattern, axes_lengths, input_shape, wrong_shapes in reduction_patterns: + print(backend, reduction, pattern, axes_lengths, input_shape, wrong_shapes) + x = np.arange(1, 1 + np.prod(input_shape), dtype="float32").reshape(input_shape) + x /= x.mean() + result_numpy = reduce(x, pattern, reduction, **axes_lengths) + layer = backend.layers().Reduce(pattern, reduction, **axes_lengths) + for shape in wrong_shapes: + try: + layer(backend.from_numpy(np.zeros(shape, dtype="float32"))) + except BaseException: + pass + else: + raise AssertionError("Failure expected") + + # simple pickling / unpickling + layer2 = pickle.loads(pickle.dumps(layer)) + result1 = backend.to_numpy(layer(backend.from_numpy(x))) + result2 = backend.to_numpy(layer2(backend.from_numpy(x))) + assert np.allclose(result_numpy, result1) + assert np.allclose(result1, result2) + + just_sum = backend.layers().Reduce("...->", reduction="sum") + + variable = backend.from_numpy(x) + result = just_sum(layer(variable)) + + result.backward() + grad = backend.to_numpy(variable.grad) + if reduction == "sum": + assert np.allclose(grad, 1) + if reduction == "mean": + assert np.allclose(grad, grad.min()) + if reduction in ["max", "min"]: + assert np.all(np.isin(grad, [0, 1])) + assert np.sum(grad) > 0.5 + + +def test_reduce_symbolic(): + for backend in collect_test_backends(symbolic=True, layers=True): + print("Test layer for ", backend.framework_name) + for reduction in REDUCTIONS: + for pattern, axes_lengths, input_shape, _wrong_shapes in reduction_patterns: + x = np.arange(1, 1 + np.prod(input_shape), dtype="float32").reshape(input_shape) + x /= x.mean() + result_numpy = reduce(x, pattern, reduction, **axes_lengths) + layer = backend.layers().Reduce(pattern, reduction, **axes_lengths) + input_shape_of_nones = [None] * len(input_shape) + shapes = [input_shape, input_shape_of_nones] + + for shape in shapes: + symbol = backend.create_symbol(shape) + eval_inputs = [(symbol, x)] + + result_symbol1 = layer(symbol) + result1 = backend.eval_symbol(result_symbol1, eval_inputs) + assert np.allclose(result_numpy, result1) + + layer2 = pickle.loads(pickle.dumps(layer)) + result_symbol2 = layer2(symbol) + result2 = backend.eval_symbol(result_symbol2, eval_inputs) + assert np.allclose(result1, result2) + + +def create_torch_model(use_reduce=False, add_scripted_layer=False): + if not is_backend_tested("torch"): + pytest.skip() + else: + import torch.jit + from torch.nn import Conv2d, Linear, MaxPool2d, ReLU, Sequential + + from einops.layers.torch import EinMix, Rearrange, Reduce + + return Sequential( + Conv2d(3, 6, kernel_size=(5, 5)), + Reduce("b c (h h2) (w w2) -> b c h w", "max", h2=2, w2=2) if use_reduce else MaxPool2d(kernel_size=2), + Conv2d(6, 16, kernel_size=(5, 5)), + Reduce("b c (h h2) (w w2) -> b c h w", "max", h2=2, w2=2), + torch.jit.script(Rearrange("b c h w -> b (c h w)")) + if add_scripted_layer + else Rearrange("b c h w -> b (c h w)"), + Linear(16 * 5 * 5, 120), + ReLU(), + Linear(120, 84), + ReLU(), + EinMix("b c1 -> (b c2)", weight_shape="c1 c2", bias_shape="c2", c1=84, c2=84), + EinMix("(b c2) -> b c3", weight_shape="c2 c3", bias_shape="c3", c2=84, c3=84), + Linear(84, 10), + ) + + +def test_torch_layer(): + if not is_backend_tested("torch"): + pytest.skip() + else: + # checked that torch present + import torch + import torch.jit + + model1 = create_torch_model(use_reduce=True) + model2 = create_torch_model(use_reduce=False) + input = torch.randn([10, 3, 32, 32]) + # random models have different predictions + assert not torch.allclose(model1(input), model2(input)) + model2.load_state_dict(pickle.loads(pickle.dumps(model1.state_dict()))) + assert torch.allclose(model1(input), model2(input)) + + # tracing (freezing) + model3 = torch.jit.trace(model2, example_inputs=input) + torch.testing.assert_close(model1(input), model3(input), atol=1e-3, rtol=1e-3) + torch.testing.assert_close(model1(input + 1), model3(input + 1), atol=1e-3, rtol=1e-3) + + model4 = torch.jit.trace(model2, example_inputs=input) + torch.testing.assert_close(model1(input), model4(input), atol=1e-3, rtol=1e-3) + torch.testing.assert_close(model1(input + 1), model4(input + 1), atol=1e-3, rtol=1e-3) + + +def test_torch_layers_scripting(): + if not is_backend_tested("torch"): + pytest.skip() + else: + import torch + + for script_layer in [False, True]: + model1 = create_torch_model(use_reduce=True, add_scripted_layer=script_layer) + model2 = torch.jit.script(model1) + input = torch.randn([10, 3, 32, 32]) + + torch.testing.assert_close(model1(input), model2(input), atol=1e-3, rtol=1e-3) + + +def test_keras_layer(): + rng = np.random.default_rng() + if not is_backend_tested("tensorflow"): + pytest.skip() + else: + import tensorflow as tf + + if tf.__version__ < "2.16.": + # current implementation of layers follows new TF interface + pytest.skip() + from tensorflow.keras.layers import Conv2D as Conv2d + from tensorflow.keras.layers import Dense as Linear + from tensorflow.keras.layers import ReLU + from tensorflow.keras.models import Sequential + + from einops.layers.keras import EinMix, Rearrange, Reduce, keras_custom_objects + + def create_keras_model(): + return Sequential( + [ + Conv2d(6, kernel_size=5, input_shape=[32, 32, 3]), + Reduce("b c (h h2) (w w2) -> b c h w", "max", h2=2, w2=2), + Conv2d(16, kernel_size=5), + Reduce("b c (h h2) (w w2) -> b c h w", "max", h2=2, w2=2), + Rearrange("b c h w -> b (c h w)"), + Linear(120), + ReLU(), + Linear(84), + ReLU(), + EinMix("b c1 -> (b c2)", weight_shape="c1 c2", bias_shape="c2", c1=84, c2=84), + EinMix("(b c2) -> b c3", weight_shape="c2 c3", bias_shape="c3", c2=84, c3=84), + Linear(10), + ] + ) + + model1 = create_keras_model() + model2 = create_keras_model() + + input = rng.normal(size=[10, 32, 32, 3]).astype("float32") + # two randomly init models should provide different outputs + assert not np.allclose(model1.predict_on_batch(input), model2.predict_on_batch(input)) + + # get some temp filename + tmp_model_filename = "/tmp/einops_tf_model.h5" + # save arch + weights + print("temp_path_keras1", tmp_model_filename) + tf.keras.models.save_model(model1, tmp_model_filename) + model3 = tf.keras.models.load_model(tmp_model_filename, custom_objects=keras_custom_objects) + + np.testing.assert_allclose(model1.predict_on_batch(input), model3.predict_on_batch(input)) + + weight_filename = "/tmp/einops_tf_model.weights.h5" + # save arch as json + model4 = tf.keras.models.model_from_json(model1.to_json(), custom_objects=keras_custom_objects) + model1.save_weights(weight_filename) + model4.load_weights(weight_filename) + model2.load_weights(weight_filename) + # check that differently-inialized model receives same weights + np.testing.assert_allclose(model1.predict_on_batch(input), model2.predict_on_batch(input)) + # ulimate test + # save-load architecture, and then load weights - should return same result + np.testing.assert_allclose(model1.predict_on_batch(input), model4.predict_on_batch(input)) + + +def test_flax_layers(): + """ + One-off simple tests for Flax layers. + Unfortunately, Flax layers have a different interface from other layers. + """ + if not is_backend_tested("jax"): + pytest.skip() + else: + import flax + import jax + import jax.numpy as jnp + from flax import linen as nn + + from einops.layers.flax import EinMix, Rearrange, Reduce + + class NN(nn.Module): + @nn.compact + def __call__(self, x): + x = EinMix( + "b (h h2) (w w2) c -> b h w c_out", "h2 w2 c c_out", "c_out", sizes=dict(h2=2, w2=3, c=4, c_out=5) + )(x) + x = Rearrange("b h w c -> b (w h c)", sizes=dict(c=5))(x) + x = Reduce("b hwc -> b", "mean", dict(hwc=2 * 3 * 5))(x) + return x + + model = NN() + fixed_input = jnp.ones([10, 2 * 2, 3 * 3, 4]) + params = model.init(jax.random.PRNGKey(0), fixed_input) + + def eval_at_point(params): + return jnp.linalg.norm(model.apply(params, fixed_input)) + + vandg = jax.value_and_grad(eval_at_point) + value0 = eval_at_point(params) + value1, grad1 = vandg(params) + assert jnp.allclose(value0, value1) + if jax.__version__ < "0.6.0": + tree_map = jax.tree_map + else: + tree_map = jax.tree.map + + params2 = tree_map(lambda x1, x2: x1 - x2 * 0.001, params, grad1) + + value2 = eval_at_point(params2) + assert value0 >= value2, (value0, value2) + + # check serialization + fbytes = flax.serialization.to_bytes(params) + _loaded = flax.serialization.from_bytes(params, fbytes) + + +def test_einmix_decomposition(): + """ + Testing that einmix correctly decomposes into smaller transformations. + """ + from einops.layers._einmix import _EinmixDebugger + + mixin1 = _EinmixDebugger( + "a b c d e -> e d c b a", + weight_shape="d a b", + d=2, a=3, b=5, + ) # fmt: off + assert mixin1.pre_reshape_pattern is None + assert mixin1.post_reshape_pattern is None + assert mixin1.einsum_pattern == "abcde,dab->edcba" + assert mixin1.saved_weight_shape == [2, 3, 5] + assert mixin1.saved_bias_shape is None + + mixin2 = _EinmixDebugger( + "a b c d e -> e d c b a", + weight_shape="d a b", + bias_shape="a b c d e", + a=1, b=2, c=3, d=4, e=5, + ) # fmt: off + assert mixin2.pre_reshape_pattern is None + assert mixin2.post_reshape_pattern is None + assert mixin2.einsum_pattern == "abcde,dab->edcba" + assert mixin2.saved_weight_shape == [4, 1, 2] + assert mixin2.saved_bias_shape == [5, 4, 3, 2, 1] + + mixin3 = _EinmixDebugger( + "... -> ...", + weight_shape="", + bias_shape="", + ) # fmt: off + assert mixin3.pre_reshape_pattern is None + assert mixin3.post_reshape_pattern is None + assert mixin3.einsum_pattern == "...,->..." + assert mixin3.saved_weight_shape == [] + assert mixin3.saved_bias_shape == [] + + mixin4 = _EinmixDebugger( + "b a ... -> b c ...", + weight_shape="b a c", + a=1, b=2, c=3, + ) # fmt: off + assert mixin4.pre_reshape_pattern is None + assert mixin4.post_reshape_pattern is None + assert mixin4.einsum_pattern == "ba...,bac->bc..." + assert mixin4.saved_weight_shape == [2, 1, 3] + assert mixin4.saved_bias_shape is None + + mixin5 = _EinmixDebugger( + "(b a) ... -> b c (...)", + weight_shape="b a c", + a=1, b=2, c=3, + ) # fmt: off + assert mixin5.pre_reshape_pattern == "(b a) ... -> b a ..." + assert mixin5.pre_reshape_lengths == dict(a=1, b=2) + assert mixin5.post_reshape_pattern == "b c ... -> b c (...)" + assert mixin5.einsum_pattern == "ba...,bac->bc..." + assert mixin5.saved_weight_shape == [2, 1, 3] + assert mixin5.saved_bias_shape is None + + mixin6 = _EinmixDebugger( + "b ... (a c) -> b ... (a d)", + weight_shape="c d", + bias_shape="a d", + a=1, c=3, d=4, + ) # fmt: off + assert mixin6.pre_reshape_pattern == "b ... (a c) -> b ... a c" + assert mixin6.pre_reshape_lengths == dict(a=1, c=3) + assert mixin6.post_reshape_pattern == "b ... a d -> b ... (a d)" + assert mixin6.einsum_pattern == "b...ac,cd->b...ad" + assert mixin6.saved_weight_shape == [3, 4] + assert mixin6.saved_bias_shape == [1, 1, 4] # (b) a d, ellipsis does not participate + + mixin7 = _EinmixDebugger( + "a ... (b c) -> a (... d b)", + weight_shape="c d b", + bias_shape="d b", + b=2, c=3, d=4, + ) # fmt: off + assert mixin7.pre_reshape_pattern == "a ... (b c) -> a ... b c" + assert mixin7.pre_reshape_lengths == dict(b=2, c=3) + assert mixin7.post_reshape_pattern == "a ... d b -> a (... d b)" + assert mixin7.einsum_pattern == "a...bc,cdb->a...db" + assert mixin7.saved_weight_shape == [3, 4, 2] + assert mixin7.saved_bias_shape == [1, 4, 2] # (a) d b, ellipsis does not participate + + +def test_einmix_restrictions(): + """ + Testing different cases + """ + from einops.layers._einmix import _EinmixDebugger + + with pytest.raises(EinopsError): + _EinmixDebugger( + "a b c d e -> e d c b a", + weight_shape="d a b", + d=2, a=3, # missing b + ) # fmt: off + + with pytest.raises(EinopsError): + _EinmixDebugger( + "a b c d e -> e d c b a", + weight_shape="w a b", + d=2, a=3, b=1 # missing d + ) # fmt: off + + with pytest.raises(EinopsError): + _EinmixDebugger( + "(...) a -> ... a", + weight_shape="a", a=1, # ellipsis on the left + ) # fmt: off + + with pytest.raises(EinopsError): + _EinmixDebugger( + "(...) a -> a ...", + weight_shape="a", a=1, # ellipsis on the right side after bias axis + bias_shape="a", + ) # fmt: off diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_ops.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_ops.py new file mode 100644 index 0000000000000000000000000000000000000000..c743e75ab54f5a462c97d3f140eb1d42d637fdaa --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_ops.py @@ -0,0 +1,658 @@ +import itertools + +import numpy as np +import pytest + +from einops import EinopsError +from einops.einops import _enumerate_directions, rearrange, reduce, repeat +from einops.tests import FLOAT_REDUCTIONS as REDUCTIONS +from einops.tests import collect_test_backends, is_backend_tested + +imp_op_backends = collect_test_backends(symbolic=False, layers=False) +sym_op_backends = collect_test_backends(symbolic=True, layers=False) + +rng = np.random.default_rng() + +identity_patterns = [ + "...->...", + "a b c d e-> a b c d e", + "a b c d e ...-> ... a b c d e", + "a b c d e ...-> a ... b c d e", + "... a b c d e -> ... a b c d e", + "a ... e-> a ... e", + "a ... -> a ... ", + "a ... c d e -> a (...) c d e", +] + +equivalent_rearrange_patterns = [ + ("a b c d e -> (a b) c d e", "a b ... -> (a b) ... "), + ("a b c d e -> a b (c d) e", "... c d e -> ... (c d) e"), + ("a b c d e -> a b c d e", "... -> ... "), + ("a b c d e -> (a b c d e)", "... -> (...)"), + ("a b c d e -> b (c d e) a", "a b ... -> b (...) a"), + ("a b c d e -> b (a c d) e", "a b ... e -> b (a ...) e"), +] + +equivalent_reduction_patterns = [ + ("a b c d e -> ", " ... -> "), + ("a b c d e -> (e a)", "a ... e -> (e a)"), + ("a b c d e -> d (a e)", " a b c d e ... -> d (a e) "), + ("a b c d e -> (a b)", " ... c d e -> (...) "), +] + + +def test_collapsed_ellipsis_errors_out(): + x = np.zeros([1, 1, 1, 1, 1]) + rearrange(x, "a b c d ... -> a b c ... d") + with pytest.raises(EinopsError): + rearrange(x, "a b c d (...) -> a b c ... d") + + rearrange(x, "... -> (...)") + with pytest.raises(EinopsError): + rearrange(x, "(...) -> (...)") + + +def test_ellipsis_ops_numpy(): + x = np.arange(2 * 3 * 4 * 5 * 6).reshape([2, 3, 4, 5, 6]) + for pattern in identity_patterns: + assert np.array_equal(x, rearrange(x, pattern)), pattern + + for pattern1, pattern2 in equivalent_rearrange_patterns: + assert np.array_equal(rearrange(x, pattern1), rearrange(x, pattern2)) + + for reduction in ["min", "max", "sum"]: + for pattern1, pattern2 in equivalent_reduction_patterns: + assert np.array_equal(reduce(x, pattern1, reduction=reduction), reduce(x, pattern2, reduction=reduction)) + + # now just check coincidence with numpy + all_rearrange_patterns = [*identity_patterns] + for pattern_pairs in equivalent_rearrange_patterns: + all_rearrange_patterns.extend(pattern_pairs) + + +def check_op_against_numpy(backend, numpy_input, pattern, axes_lengths, reduction="rearrange", is_symbolic=False): + """ + Helper to test result of operation (rearrange or transpose) against numpy + if reduction == 'rearrange', rearrange op is tested, otherwise reduce + """ + + def operation(x): + if reduction == "rearrange": + return rearrange(x, pattern, **axes_lengths) + else: + return reduce(x, pattern, reduction, **axes_lengths) + + numpy_result = operation(numpy_input) + check_equal = np.array_equal + p_none_dimension = 0.5 + if is_symbolic: + symbol_shape = [d if rng.random() >= p_none_dimension else None for d in numpy_input.shape] + symbol = backend.create_symbol(shape=symbol_shape) + result_symbol = operation(symbol) + backend_result = backend.eval_symbol(result_symbol, [(symbol, numpy_input)]) + else: + backend_result = operation(backend.from_numpy(numpy_input)) + backend_result = backend.to_numpy(backend_result) + + check_equal(numpy_result, backend_result) + + +def test_ellipsis_ops_imperative(): + """Checking various patterns against numpy""" + x = np.arange(2 * 3 * 4 * 5 * 6).reshape([2, 3, 4, 5, 6]) + for is_symbolic in [True, False]: + for backend in collect_test_backends(symbolic=is_symbolic, layers=False): + for pattern in identity_patterns + list(itertools.chain(*equivalent_rearrange_patterns)): + check_op_against_numpy( + backend, x, pattern, axes_lengths={}, reduction="rearrange", is_symbolic=is_symbolic + ) + + for reduction in ["min", "max", "sum"]: + for pattern in itertools.chain(*equivalent_reduction_patterns): + check_op_against_numpy( + backend, x, pattern, axes_lengths={}, reduction=reduction, is_symbolic=is_symbolic + ) + + +def test_rearrange_array_api(): + import numpy as xp + + from einops import array_api as AA + + if xp.__version__ < "2.0.0": + pytest.skip() + + x = np.arange(2 * 3 * 4 * 5 * 6).reshape([2, 3, 4, 5, 6]) + for pattern in identity_patterns + list(itertools.chain(*equivalent_rearrange_patterns)): + expected = rearrange(x, pattern) + result = AA.rearrange(xp.from_dlpack(x), pattern) + assert np.array_equal(AA.asnumpy(result + 0), expected) + + +def test_reduce_array_api(): + import numpy as xp + + from einops import array_api as AA + + if xp.__version__ < "2.0.0": + pytest.skip() + + x = np.arange(2 * 3 * 4 * 5 * 6).reshape([2, 3, 4, 5, 6]) + for pattern in itertools.chain(*equivalent_reduction_patterns): + for reduction in ["min", "max", "sum"]: + expected = reduce(x, pattern, reduction=reduction) + result = AA.reduce(xp.from_dlpack(x), pattern, reduction=reduction) + assert np.array_equal(AA.asnumpy(np.asarray(result + 0)), expected) + + +def test_rearrange_consistency_numpy(): + shape = [1, 2, 3, 5, 7, 11] + x = np.arange(np.prod(shape)).reshape(shape) + for pattern in [ + "a b c d e f -> a b c d e f", + "b a c d e f -> a b d e f c", + "a b c d e f -> f e d c b a", + "a b c d e f -> (f e) d (c b a)", + "a b c d e f -> (f e d c b a)", + ]: + result = rearrange(x, pattern) + assert len(np.setdiff1d(x, result)) == 0 + assert result.dtype == x.dtype + + result = rearrange(x, "a b c d e f -> a (b) (c d e) f") + assert np.array_equal(x.flatten(), result.flatten()) + + result = rearrange(x, "a aa aa1 a1a1 aaaa a11 -> a aa aa1 a1a1 aaaa a11") + assert np.array_equal(x, result) + + result1 = rearrange(x, "a b c d e f -> f e d c b a") + result2 = rearrange(x, "f e d c b a -> a b c d e f") + assert np.array_equal(result1, result2) + + result = rearrange(rearrange(x, "a b c d e f -> (f d) c (e b) a"), "(f d) c (e b) a -> a b c d e f", b=2, d=5) + assert np.array_equal(x, result) + + sizes = dict(zip("abcdef", shape)) + temp = rearrange(x, "a b c d e f -> (f d) c (e b) a", **sizes) + result = rearrange(temp, "(f d) c (e b) a -> a b c d e f", **sizes) + assert np.array_equal(x, result) + + x2 = np.arange(2 * 3 * 4).reshape([2, 3, 4]) + result = rearrange(x2, "a b c -> b c a") + assert x2[1, 2, 3] == result[2, 3, 1] + assert x2[0, 1, 2] == result[1, 2, 0] + + +def test_rearrange_permutations_numpy(): + # tests random permutation of axes against two independent numpy ways + for n_axes in range(1, 10): + input = np.arange(2**n_axes).reshape([2] * n_axes) + permutation = rng.permutation(n_axes) + left_expression = " ".join("i" + str(axis) for axis in range(n_axes)) + right_expression = " ".join("i" + str(axis) for axis in permutation) + expression = left_expression + " -> " + right_expression + result = rearrange(input, expression) + + for pick in rng.integers(0, 2, [10, n_axes]): + assert input[tuple(pick)] == result[tuple(pick[permutation])] + + for n_axes in range(1, 10): + input = np.arange(2**n_axes).reshape([2] * n_axes) + permutation = rng.permutation(n_axes) + left_expression = " ".join("i" + str(axis) for axis in range(n_axes)[::-1]) + right_expression = " ".join("i" + str(axis) for axis in permutation[::-1]) + expression = left_expression + " -> " + right_expression + result = rearrange(input, expression) + assert result.shape == input.shape + expected_result = np.zeros_like(input) + for original_axis, result_axis in enumerate(permutation): + expected_result |= ((input >> original_axis) & 1) << result_axis + + assert np.array_equal(result, expected_result) + + +def test_reduction_imperatives(): + for backend in imp_op_backends: + print("Reduction tests for ", backend.framework_name) + for reduction in REDUCTIONS: + # slight redundancy for simpler order - numpy version is evaluated multiple times + input = np.arange(2 * 3 * 4 * 5 * 6, dtype="int64").reshape([2, 3, 4, 5, 6]) + if reduction in ["mean", "prod"]: + input = input / input.astype("float64").mean() + test_cases = [ + ["a b c d e -> ", {}, getattr(input, reduction)()], + ["a ... -> ", {}, getattr(input, reduction)()], + ["(a1 a2) ... (e1 e2) -> ", dict(a1=1, e2=2), getattr(input, reduction)()], + [ + "a b c d e -> (e c) a", + {}, + getattr(input, reduction)(axis=(1, 3)).transpose(2, 1, 0).reshape([-1, 2]), + ], + [ + "a ... c d e -> (e c) a", + {}, + getattr(input, reduction)(axis=(1, 3)).transpose(2, 1, 0).reshape([-1, 2]), + ], + [ + "a b c d e ... -> (e c) a", + {}, + getattr(input, reduction)(axis=(1, 3)).transpose(2, 1, 0).reshape([-1, 2]), + ], + ["a b c d e -> (e c a)", {}, getattr(input, reduction)(axis=(1, 3)).transpose(2, 1, 0).reshape([-1])], + ["(a a2) ... -> (a2 a) ...", dict(a2=1), input], + ] + for pattern, axes_lengths, expected_result in test_cases: + result = reduce(backend.from_numpy(input.copy()), pattern, reduction=reduction, **axes_lengths) + result = backend.to_numpy(result) + assert np.allclose(result, expected_result), f"Failed at {pattern}" + + +def test_reduction_symbolic(): + for backend in sym_op_backends: + print("Reduction tests for ", backend.framework_name) + for reduction in REDUCTIONS: + input = np.arange(2 * 3 * 4 * 5 * 6, dtype="int64").reshape([2, 3, 4, 5, 6]) + input = input / input.astype("float64").mean() + # slight redundancy for simpler order - numpy version is evaluated multiple times + test_cases = [ + ["a b c d e -> ", {}, getattr(input, reduction)()], + ["a ... -> ", {}, getattr(input, reduction)()], + ["(a a2) ... (e e2) -> ", dict(a2=1, e2=1), getattr(input, reduction)()], + [ + "a b c d e -> (e c) a", + {}, + getattr(input, reduction)(axis=(1, 3)).transpose(2, 1, 0).reshape([-1, 2]), + ], + [ + "a ... c d e -> (e c) a", + {}, + getattr(input, reduction)(axis=(1, 3)).transpose(2, 1, 0).reshape([-1, 2]), + ], + [ + "a b c d e ... -> (e c) a", + {}, + getattr(input, reduction)(axis=(1, 3)).transpose(2, 1, 0).reshape([-1, 2]), + ], + ["a b c d e -> (e c a)", {}, getattr(input, reduction)(axis=(1, 3)).transpose(2, 1, 0).reshape([-1])], + ["(a a2) ... -> (a2 a) ...", dict(a2=1), input], + ] + for pattern, axes_lengths, expected_numpy_result in test_cases: + shapes = [input.shape, [None for _ in input.shape]] + for shape in shapes: + sym = backend.create_symbol(shape) + result_sym = reduce(sym, pattern, reduction=reduction, **axes_lengths) + result = backend.eval_symbol(result_sym, [(sym, input)]) + assert np.allclose(result, expected_numpy_result) + + if True: + shape = [] + _axes_lengths = {**axes_lengths} + for axis, length in zip("abcde", input.shape): + # filling as much as possible with Nones + if axis in pattern: + shape.append(None) + _axes_lengths[axis] = length + else: + shape.append(length) + sym = backend.create_symbol(shape) + result_sym = reduce(sym, pattern, reduction=reduction, **_axes_lengths) + result = backend.eval_symbol(result_sym, [(sym, input)]) + assert np.allclose(result, expected_numpy_result) + + +def test_reduction_stress_imperatives(): + for backend in imp_op_backends: + print("Stress-testing reduction for ", backend.framework_name) + for reduction in [*REDUCTIONS, "rearrange"]: + dtype = "int64" + coincide = np.array_equal + if reduction in ["mean", "prod"]: + dtype = "float64" + coincide = np.allclose + max_dim = 11 + if "oneflow" in backend.framework_name: + max_dim = 7 + if "paddle" in backend.framework_name: + max_dim = 9 + for n_axes in range(max_dim): + shape = rng.integers(2, 4, size=n_axes) + permutation = rng.permutation(n_axes) + skipped = 0 if reduction == "rearrange" else rng.integers(n_axes + 1) + left = " ".join("x" + str(i) for i in range(n_axes)) + right = " ".join("x" + str(i) for i in permutation[skipped:]) + pattern = left + "->" + right + x = np.arange(1, 1 + np.prod(shape), dtype=dtype).reshape(shape) + if reduction == "prod": + x /= x.mean() # to avoid overflows + result1 = reduce(x, pattern, reduction=reduction) + result2 = x.transpose(permutation) + if skipped > 0: + result2 = getattr(result2, reduction)(axis=tuple(range(skipped))) + assert coincide(result1, result2) + check_op_against_numpy(backend, x, pattern, reduction=reduction, axes_lengths={}, is_symbolic=False) + + +def test_reduction_with_callable_imperatives(): + x_numpy = np.arange(2 * 3 * 4 * 5 * 6).reshape([2, 3, 4, 5, 6]).astype("float32") + x_numpy /= x_numpy.max() + + def logsumexp_torch(x, tuple_of_axes): + return x.logsumexp(tuple_of_axes) + + def logsumexp_tf(x, tuple_of_axes): + import tensorflow as tf + + return tf.reduce_logsumexp(x, tuple_of_axes) + + def logsumexp_keras(x, tuple_of_axes): + import tensorflow.keras.backend as k + + return k.logsumexp(x, tuple_of_axes) + + def logsumexp_numpy(x, tuple_of_axes): + # very naive logsumexp to compare to + minused = x.max(tuple_of_axes) + y = x - x.max(tuple_of_axes, keepdims=True) + y = np.exp(y) + y = np.sum(y, axis=tuple_of_axes) + return np.log(y) + minused + + from einops._backends import NumpyBackend, TensorflowBackend, TFKerasBackend, TorchBackend + + backend2callback = { + TorchBackend.framework_name: logsumexp_torch, + TensorflowBackend.framework_name: logsumexp_tf, + TFKerasBackend.framework_name: logsumexp_keras, + NumpyBackend.framework_name: logsumexp_numpy, + } + + for backend in imp_op_backends: + if backend.framework_name not in backend2callback: + continue + + backend_callback = backend2callback[backend.framework_name] + + x_backend = backend.from_numpy(x_numpy) + for pattern1, pattern2 in equivalent_reduction_patterns: + print("Test reduction with callable for ", backend.framework_name, pattern1, pattern2) + output_numpy = reduce(x_numpy, pattern1, reduction=logsumexp_numpy) + output_backend = reduce(x_backend, pattern1, reduction=backend_callback) + assert np.allclose( + output_numpy, + backend.to_numpy(output_backend), + ) + + +def test_enumerating_directions(): + for backend in imp_op_backends: + print("testing directions for", backend.framework_name) + for shape in [[], [1], [1, 1, 1], [2, 3, 5, 7]]: + x = np.arange(np.prod(shape)).reshape(shape) + axes1 = _enumerate_directions(x) + axes2 = _enumerate_directions(backend.from_numpy(x)) + assert len(axes1) == len(axes2) == len(shape) + axes2 = [backend.to_numpy(ax) for ax in axes2] + for ax1, ax2 in zip(axes1, axes2): + assert ax1.shape == ax2.shape + assert np.allclose(ax1, ax2) + + +def test_concatenations_and_stacking(): + for backend in imp_op_backends: + print("testing shapes for ", backend.framework_name) + for n_arrays in [1, 2, 5]: + shapes = [[], [1], [1, 1], [2, 3, 5, 7], [1] * 6] + for shape in shapes: + arrays1 = [np.arange(i, i + np.prod(shape)).reshape(shape) for i in range(n_arrays)] + arrays2 = [backend.from_numpy(array) for array in arrays1] + result0 = np.asarray(arrays1) + result1 = rearrange(arrays1, "...->...") + result2 = rearrange(arrays2, "...->...") + assert np.array_equal(result0, result1) + assert np.array_equal(result1, backend.to_numpy(result2)) + + result1 = rearrange(arrays1, "b ... -> ... b") + result2 = rearrange(arrays2, "b ... -> ... b") + assert np.array_equal(result1, backend.to_numpy(result2)) + + +def test_gradients_imperatives(): + # lazy - just checking reductions + for reduction in REDUCTIONS: + if reduction in ("any", "all"): + continue # non-differentiable ops + x = np.arange(1, 1 + 2 * 3 * 4).reshape([2, 3, 4]).astype("float32") + results = {} + for backend in imp_op_backends: + y0 = backend.from_numpy(x) + if not hasattr(y0, "grad"): + continue + + y1 = reduce(y0, "a b c -> c a", reduction=reduction) + y2 = reduce(y1, "c a -> a c", reduction=reduction) + y3 = reduce(y2, "a (c1 c2) -> a", reduction=reduction, c1=2) + y4 = reduce(y3, "... -> ", reduction=reduction) + + y4.backward() + grad = backend.to_numpy(y0.grad) + results[backend.framework_name] = grad + + print("comparing gradients for", results.keys()) + for name1, grad1 in results.items(): + for name2, grad2 in results.items(): + assert np.allclose(grad1, grad2), [name1, name2, "provided different gradients"] + + +def test_tiling_imperatives(): + for backend in imp_op_backends: + print("Tiling tests for ", backend.framework_name) + input = np.arange(2 * 3 * 5, dtype="int64").reshape([2, 1, 3, 1, 5]) + test_cases = [ + (1, 1, 1, 1, 1), + (1, 2, 1, 3, 1), + (3, 1, 1, 4, 1), + ] + for repeats in test_cases: + expected = np.tile(input, repeats) + converted = backend.from_numpy(input) + repeated = backend.tile(converted, repeats) + result = backend.to_numpy(repeated) + assert np.array_equal(result, expected) + + +def test_tiling_symbolic(): + for backend in sym_op_backends: + print("Tiling tests for ", backend.framework_name) + input = np.arange(2 * 3 * 5, dtype="int64").reshape([2, 1, 3, 1, 5]) + test_cases = [ + (1, 1, 1, 1, 1), + (1, 2, 1, 3, 1), + (3, 1, 1, 4, 1), + ] + for repeats in test_cases: + expected = np.tile(input, repeats) + sym = backend.create_symbol(input.shape) + result = backend.eval_symbol(backend.tile(sym, repeats), [[sym, input]]) + assert np.array_equal(result, expected) + + sym = backend.create_symbol([None] * len(input.shape)) + result = backend.eval_symbol(backend.tile(sym, repeats), [[sym, input]]) + assert np.array_equal(result, expected) + + +repeat_test_cases = [ + # all assume that input has shape [2, 3, 5] + ("a b c -> c a b", dict()), + ("a b c -> (c copy a b)", dict(copy=2, a=2, b=3, c=5)), + ("a b c -> (a copy) b c ", dict(copy=1)), + ("a b c -> (c a) (copy1 b copy2)", dict(a=2, copy1=1, copy2=2)), + ("a ... -> a ... copy", dict(copy=4)), + ("... c -> ... (copy1 c copy2)", dict(copy1=1, copy2=2)), + ("... -> ... ", dict()), + (" ... -> copy1 ... copy2 ", dict(copy1=2, copy2=3)), + ("a b c -> copy1 a copy2 b c () ", dict(copy1=2, copy2=1)), +] + + +def check_reversion(x, repeat_pattern, **sizes): + """Checks repeat pattern by running reduction""" + left, right = repeat_pattern.split("->") + reduce_pattern = right + "->" + left + repeated = repeat(x, repeat_pattern, **sizes) + reduced_min = reduce(repeated, reduce_pattern, reduction="min", **sizes) + reduced_max = reduce(repeated, reduce_pattern, reduction="max", **sizes) + assert np.array_equal(x, reduced_min) + assert np.array_equal(x, reduced_max) + + +def test_repeat_numpy(): + # check repeat vs reduce. Repeat works ok if reverse reduction with min and max work well + x = np.arange(2 * 3 * 5).reshape([2, 3, 5]) + x1 = repeat(x, "a b c -> copy a b c ", copy=1) + assert np.array_equal(x[None], x1) + for pattern, axis_dimensions in repeat_test_cases: + check_reversion(x, pattern, **axis_dimensions) + + +def test_repeat_imperatives(): + x = np.arange(2 * 3 * 5).reshape([2, 3, 5]) + for backend in imp_op_backends: + print("Repeat tests for ", backend.framework_name) + + for pattern, axis_dimensions in repeat_test_cases: + expected = repeat(x, pattern, **axis_dimensions) + converted = backend.from_numpy(x) + repeated = repeat(converted, pattern, **axis_dimensions) + result = backend.to_numpy(repeated) + assert np.array_equal(result, expected) + + +def test_repeat_symbolic(): + x = np.arange(2 * 3 * 5).reshape([2, 3, 5]) + + for backend in sym_op_backends: + print("Repeat tests for ", backend.framework_name) + + for pattern, axis_dimensions in repeat_test_cases: + expected = repeat(x, pattern, **axis_dimensions) + + sym = backend.create_symbol(x.shape) + result = backend.eval_symbol(repeat(sym, pattern, **axis_dimensions), [[sym, x]]) + assert np.array_equal(result, expected) + + +def test_repeat_array_api(): + import numpy as xp + + from einops import array_api as AA + + if xp.__version__ < "2.0.0": + pytest.skip() + + x = np.arange(2 * 3 * 5).reshape([2, 3, 5]) + + for pattern, axis_dimensions in repeat_test_cases: + expected = repeat(x, pattern, **axis_dimensions) + + result = AA.repeat(xp.from_dlpack(x), pattern, **axis_dimensions) + assert np.array_equal(AA.asnumpy(result + 0), expected) + + +test_cases_repeat_anonymous = [ + # all assume that input has shape [1, 2, 4, 6] + ("a b c d -> c a d b", dict()), + ("a b c d -> (c 2 d a b)", dict(a=1, c=4, d=6)), + ("1 b c d -> (d copy 1) 3 b c ", dict(copy=3)), + ("1 ... -> 3 ... ", dict()), + ("() ... d -> 1 (copy1 d copy2) ... ", dict(copy1=2, copy2=3)), + ("1 b c d -> (1 1) (1 b) 2 c 3 d (1 1)", dict()), +] + + +def test_anonymous_axes(): + x = np.arange(1 * 2 * 4 * 6).reshape([1, 2, 4, 6]) + for pattern, axis_dimensions in test_cases_repeat_anonymous: + check_reversion(x, pattern, **axis_dimensions) + + +def test_list_inputs(): + x = np.arange(2 * 3 * 4 * 5 * 6).reshape([2, 3, 4, 5, 6]) + + assert np.array_equal( + rearrange(list(x), "... -> (...)"), + rearrange(x, "... -> (...)"), + ) + assert np.array_equal( + reduce(list(x), "a ... e -> (...)", "min"), + reduce(x, "a ... e -> (...)", "min"), + ) + assert np.array_equal( + repeat(list(x), "... -> b (...)", b=3), + repeat(x, "... -> b (...)", b=3), + ) + + +def test_torch_compile_with_dynamic_shape(): + if not is_backend_tested("torch"): + pytest.skip() + import torch + + # somewhat reasonable debug messages + torch._dynamo.config.verbose = True + + def func1(x): + # test contains ellipsis + a, b, c, *other = x.shape + x = rearrange(x, "(a a2) b c ... -> b (c a2) (a ...)", a2=2) + # test contains passing expression as axis length + x = reduce(x, "b ca2 A -> b A", "sum", ca2=c * 2) + return x + + # seems can't test static and dynamic in the same test run. + func1_compiled_static = torch.compile(func1, dynamic=False, fullgraph=True) + func1_compiled_dynamic = torch.compile(func1, dynamic=True, fullgraph=True) + + x = torch.randn(size=[4, 5, 6, 3]) + assert torch.allclose(func1_compiled_static(x), func1(x), atol=1e-5) + assert torch.allclose(func1_compiled_dynamic(x), func1(x), atol=1e-5) + # check with input of different dimensionality, and with all shape elements changed + x = torch.randn(size=[6, 3, 4, 2, 3]) + assert torch.allclose(func1_compiled_static(x), func1(x), atol=1e-5) + assert torch.allclose(func1_compiled_dynamic(x), func1(x), atol=1e-5) + + +def bit_count(x): + return sum((x >> i) & 1 for i in range(20)) + + +def test_reduction_imperatives_booleans(): + """Checks that any/all reduction works in all frameworks""" + x_np = np.asarray([(bit_count(x) % 2) == 0 for x in range(2**6)]).reshape([2] * 6) + for backend in imp_op_backends: + print("Reduction any/all tests for ", backend.framework_name) + + for axis in range(6): + expected_result_any = np.any(x_np, axis=axis, keepdims=True) + expected_result_all = np.all(x_np, axis=axis, keepdims=True) + assert not np.array_equal(expected_result_any, expected_result_all) + + axes = list("abcdef") + axes_in = list(axes) + axes_out = list(axes) + axes_out[axis] = "1" + pattern = (" ".join(axes_in)) + " -> " + (" ".join(axes_out)) + + res_any = reduce(backend.from_numpy(x_np), pattern, reduction="any") + res_all = reduce(backend.from_numpy(x_np), pattern, reduction="all") + + assert np.array_equal(expected_result_any, backend.to_numpy(res_any)) + assert np.array_equal(expected_result_all, backend.to_numpy(res_all)) + + # expected result: any/all + expected_result_any = np.any(x_np, axis=(0, 1), keepdims=True) + expected_result_all = np.all(x_np, axis=(0, 1), keepdims=True) + pattern = "a b ... -> 1 1 ..." + res_any = reduce(backend.from_numpy(x_np), pattern, reduction="any") + res_all = reduce(backend.from_numpy(x_np), pattern, reduction="all") + assert np.array_equal(expected_result_any, backend.to_numpy(res_any)) + assert np.array_equal(expected_result_all, backend.to_numpy(res_all)) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_other.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_other.py new file mode 100644 index 0000000000000000000000000000000000000000..cf6b72b0d39947f743103e30d635cc597178c82e --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_other.py @@ -0,0 +1,363 @@ +import subprocess +import tempfile +from doctest import testmod +from pathlib import Path + +import numpy as np +import pytest + +import einops +import einops.layers +from einops._backends import AbstractBackend +from einops.einops import _optimize_transformation, parse_shape, rearrange +from einops.tests import collect_test_backends, is_backend_tested + +__author__ = "Alex Rogozhnikov" + +rng = np.random.default_rng() + + +def test_doctests_examples(): + # tests docstrings, additionally + testmod(einops.layers, raise_on_error=True, extraglobs=dict(np=np)) + testmod(einops.einops, raise_on_error=True, extraglobs=dict(np=np)) + + +def test_backends_installed(): + """ + This test will fail if some of backends are not installed or can't be imported + Other tests will just work and only test installed backends. + """ + from . import parse_backends_to_test + + backends_to_test = set(parse_backends_to_test()) + errors = [] + # Find backend subclasses recursively + backend_subclasses = [] + backends = AbstractBackend.__subclasses__() + while backends: + backend = backends.pop() + backends += backend.__subclasses__() + backend_subclasses.append(backend) + + for backend_type in backend_subclasses: + if backend_type.framework_name not in backends_to_test: + continue + try: + # instantiate + backend_type() + backends_to_test.remove(backend_type.framework_name) + except Exception as e: + errors.append((backend_type.framework_name, e)) + assert len(errors) == 0, errors + assert len(backends_to_test) == 0, f"did not instantiate {backends_to_test=}, they won't be tested" + + +def test_optimize_transformations_numpy(): + print("Testing optimizations") + shapes = [[2] * n_dimensions for n_dimensions in range(14)] + shapes += [[3] * n_dimensions for n_dimensions in range(6)] + shapes += [[2, 3, 5, 7]] + shapes += [[2, 3, 5, 7, 11, 17]] + + for shape in shapes: + for _attempt in range(5): + n_dimensions = len(shape) + x = rng.integers(0, 2**12, size=shape).reshape([-1]) + init_shape = shape[:] + n_reduced = rng.integers(0, n_dimensions + 1) + reduced_axes = tuple(rng.permutation(n_dimensions)[:n_reduced]) + axes_reordering = rng.permutation(n_dimensions - n_reduced) + final_shape = rng.integers(0, 1024, size=333) # just random + + init_shape2, reduced_axes2, axes_reordering2, final_shape2 = combination2 = _optimize_transformation( + init_shape, reduced_axes, axes_reordering, final_shape + ) + + assert np.array_equal(final_shape, final_shape2) + result1 = x.reshape(init_shape).sum(axis=reduced_axes).transpose(axes_reordering).reshape([-1]) + result2 = x.reshape(init_shape2).sum(axis=reduced_axes2).transpose(axes_reordering2).reshape([-1]) + assert np.array_equal(result1, result2) + + # testing we can't optimize this formula again + combination3 = _optimize_transformation(*combination2) + for a, b in zip(combination2, combination3): + assert np.array_equal(a, b) + + +_IMPERATIVE_BACKENDS = collect_test_backends(symbolic=False, layers=False) + +x_np = np.zeros([10, 20, 30, 40]) + + +def test_parse_shape_imperative(): + for backend in _IMPERATIVE_BACKENDS: + print("Shape parsing for ", backend.framework_name) + parsed1 = parse_shape(x_np, "a b c d") + parsed2 = parse_shape(backend.from_numpy(x_np), "a b c d") + assert parsed1 == parsed2 == dict(a=10, b=20, c=30, d=40) + assert parsed1 != dict(a=1, b=20, c=30, d=40) != parsed2 + + +def test_underscore(): + for backend in _IMPERATIVE_BACKENDS: + parsed1 = parse_shape(x_np, "_ _ _ _") + parsed2 = parse_shape(backend.from_numpy(x_np), "_ _ _ _") + assert parsed1 == parsed2 == dict() + + +def test_underscore_one(): + for backend in _IMPERATIVE_BACKENDS: + parsed1 = parse_shape(x_np, "_ _ _ hello") + parsed2 = parse_shape(backend.from_numpy(x_np), "_ _ _ hello") + assert parsed1 == parsed2 == dict(hello=40) + + +def test_underscore_several(): + for backend in _IMPERATIVE_BACKENDS: + parsed1 = parse_shape(x_np, "_ _ a1 a1a111a") + parsed2 = parse_shape(backend.from_numpy(x_np), "_ _ a1 a1a111a") + assert parsed1 == parsed2 == dict(a1=30, a1a111a=40) + + +def test_repeating(): + with pytest.raises(einops.EinopsError): + parse_shape(x_np, "a a b b") + + for backend in _IMPERATIVE_BACKENDS: + with pytest.raises(einops.EinopsError): + parse_shape(backend.from_numpy(x_np), "a a b b") + + +def test_ellipsis(): + for backend in _IMPERATIVE_BACKENDS: + for shape, pattern, expected in [ + ([10, 20], "...", dict()), + ([10], "... a", dict(a=10)), + ([10, 20], "... a", dict(a=20)), + ([10, 20, 30], "... a", dict(a=30)), + ([10, 20, 30, 40], "... a", dict(a=40)), + ([10], "a ...", dict(a=10)), + ([10, 20], "a ...", dict(a=10)), + ([10, 20, 30], "a ...", dict(a=10)), + ([10, 20, 30, 40], "a ...", dict(a=10)), + ([10, 20, 30, 40], " a ... b", dict(a=10, b=40)), + ([10, 40], " a ... b", dict(a=10, b=40)), + ]: + x = np.ones(shape) + parsed1 = parse_shape(x, pattern) + parsed2 = parse_shape(backend.from_numpy(x), pattern) + assert parsed1 == parsed2 == expected + + +def test_parse_with_anonymous_axes(): + for backend in _IMPERATIVE_BACKENDS: + for shape, pattern, expected in [ + ([1, 2, 3, 4], "1 2 3 a", dict(a=4)), + ([10, 1, 2], "a 1 2", dict(a=10)), + ([10, 1, 2], "a () 2", dict(a=10)), + ]: + x = np.ones(shape) + parsed1 = parse_shape(x, pattern) + parsed2 = parse_shape(backend.from_numpy(x), pattern) + assert parsed1 == parsed2 == expected + + +def test_failures(): + for backend in _IMPERATIVE_BACKENDS: + # every test should fail + for shape, pattern in [ + ([1, 2, 3, 4], "a b c"), + ([1, 2, 3, 4], "2 a b c"), + ([1, 2, 3, 4], "a b c ()"), + ([1, 2, 3, 4], "a b c d e"), + ([1, 2, 3, 4], "a b c d e ..."), + ([1, 2, 3, 4], "a b c ()"), + ]: + with pytest.raises(RuntimeError): + x = np.ones(shape) + parse_shape(backend.from_numpy(x), pattern) + + +_SYMBOLIC_BACKENDS = [ + *collect_test_backends(symbolic=True, layers=False), + *collect_test_backends(symbolic=True, layers=True), +] + +# tensorflow.keras needs special way to compile, +# shape vars can be used only inside layers but not as outputs +_SYMBOLIC_BACKENDS = [backend for backend in _SYMBOLIC_BACKENDS if backend.framework_name != "tensorflow.keras"] + + +@pytest.mark.parametrize("backend", _SYMBOLIC_BACKENDS) +def test_parse_shape_symbolic(backend): + for input_shape in [ + [10, 20, 30, 40], + [10, 20, None, None], + [None, None, None, None], + ]: + print(f"special shape parsing {backend.framework_name=} {input_shape=}") + input_symbol = backend.create_symbol(input_shape) + + shape_placeholder = parse_shape(input_symbol, "a b c d") + out_shape = {} + for name, symbol in shape_placeholder.items(): + out_shape[name] = ( + symbol + if isinstance(symbol, int) + else backend.eval_symbol(symbol, [(input_symbol, np.zeros([10, 20, 30, 40]))]) + ) # out shape element is either int, or symbol that we are able to eval + print(out_shape) + result_placeholder = rearrange( + input_symbol, "a b (c1 c2) (d1 d2) -> (a b d1) c1 (c2 d2)", **parse_shape(input_symbol, "a b c1 _"), d2=2 + ) + result = backend.eval_symbol(result_placeholder, [(input_symbol, np.zeros([10, 20, 30, 40]))]) + print(result.shape) + assert result.shape == (10 * 20 * 20, 30, 1 * 2) + assert np.allclose(result, 0) + + +@pytest.mark.parametrize("backend", _SYMBOLIC_BACKENDS) +def test_parse_shape_symbolic_ellipsis(backend): + for static_shape, shape, pattern, expected in [ + ([10, 20], [None, None], "...", dict()), + ([10], [None], "... a", dict(a=10)), + ([10, 20], [None, None], "... a", dict(a=20)), + ([10, 20, 30], [None, None, None], "... a", dict(a=30)), + ([10, 20, 30, 40], [None, None, None, None], "... a", dict(a=40)), + ([10], [None], "a ...", dict(a=10)), + ([10, 20], [None, None], "a ...", dict(a=10)), + ([10, 20, 30], [None, None, None], "a ...", dict(a=10)), + ([10, 20, 30, 40], [None, None, None, None], "a ...", dict(a=10)), + ([10, 20, 30, 40], [None, None, None, None], " a ... b", dict(a=10, b=40)), + ([10, 40], [None, None], " a ... b ", dict(a=10, b=40)), + ]: + input_symbol = backend.create_symbol(shape) + shape_placeholder = parse_shape(input_symbol, pattern) + out_shape = {} + for name, symbol in shape_placeholder.items(): + if isinstance(symbol, int): + out_shape[name] = symbol + else: + out_shape[name] = backend.eval_symbol(symbol, [(input_symbol, np.zeros(static_shape))]) + assert out_shape == expected + + +def test_is_float_type(): + backends = collect_test_backends(symbolic=False, layers=False) + backends += collect_test_backends(symbolic=False, layers=True) + for backend in backends: + for dtype in ["int32", "int64", "float32", "float64"]: + is_float = "float" in dtype + input = np.zeros([3, 4, 5], dtype=dtype) + input = backend.from_numpy(input) + assert backend.is_float_type(input) == is_float, (dtype, backend, input.dtype) + + +def test_torch_compile_for_functions(): + """ + Test ensures that allow_ops_in_compiled_graph allows compiling in a single graph + Additionally we ensure that after compilation cache works properly + (by changing shapes and patterns) + We additionally check that pack/unpack still can be handled + despite variable number of inputs/outputs + """ + if not is_backend_tested("torch"): + pytest.skip() + import torch + from torch import nn + + from einops import einsum, pack, reduce, repeat, unpack + from einops._torch_specific import allow_ops_in_compiled_graph + + allow_ops_in_compiled_graph() + + class TorchModuleWithOperations(nn.Module): + def __init__(self) -> None: + super().__init__() + + def forward(self, x_abc, suffix=""): + a, b, c = x_abc.shape + + def suf(pattern): + parts = pattern.split() + return " ".join([p if p[-1] not in "acd" else p + suffix for p in parts]) + + # patterns look a bit strange because names a, c, d will be modified on every run + # by suf function + x_abcd = repeat(x_abc, suf("a b c -> a b c 4")) + x_abc = reduce(x_abcd, suf("a b c d -> a b c"), "min") + x_abdc, ps = pack([x_abc] * (2 + len(suffix)), suf("a b * c")) + x_array = unpack(rearrange(x_abdc, suf("a b d c -> (a b ) 1 c d")), ps, "ab one1 c *") + x1 = x_array[0] + len(x_array) + x1 = rearrange(x1, suf("(a b ) 1 c -> a b c"), b=b) + addition = einsum(x_abc, x_abcd, suf("a b c , a b c d -> d"))[0] + return x1 + addition + + original = TorchModuleWithOperations() + compiled = torch.compile(original, fullgraph=True) + for size in [10, 20, 40]: + x = torch.rand([size, size + 1, size + 2]) + for suffix in ["", "suf1", "other_suffix"]: + result1 = compiled(x, suffix) + result2 = original(x.double(), suffix).float() + + torch.testing.assert_close(result1, result2, atol=1e-5, rtol=1e-5) + + +def test_torch_compile_for_layers(): + """ + Einops layers are in general very friendly towards tracing/compiling, + but we still want to make sure we can compile them. + """ + if not is_backend_tested("torch"): + pytest.skip() + + import torch + from torch import nn + + from einops.layers.torch import EinMix, Rearrange, Reduce + + original = nn.Sequential( + Rearrange("b (t c) -> b t c", c=16), + EinMix("b t c -> qkv b t cout", weight_shape="qkv c cout", bias_shape="qkv cout", qkv=3, c=16, cout=8), + Reduce("qkv b t cout -> b t qkv", "min", cout=8), + ) + + compiled = torch.compile(original, fullgraph=True) + + for size in [16, 32, 64]: + x = torch.rand([size, size]) + result1 = original(x) + result2 = compiled(x) + assert torch.allclose(result1, result2) + + +src = """ +import einops +import numpy as np +from concurrent.futures import ThreadPoolExecutor +import torch + +def f(): + return einops.rearrange(np.ndarray((20, 150, 150)), "... i j -> ... j i") +with ThreadPoolExecutor(max_workers=2) as ex: + fs = [] + for i in range(20): + fs.append(ex.submit(f)) + for fut in fs: + fut.result() +""" + + +def test_einops_threading(): + # requires both. Reproduces problem from https://github.com/arogozhnikov/einops/issues/391 + if not is_backend_tested("torch"): + pytest.skip() + if not is_backend_tested("numpy"): + pytest.skip() + + with tempfile.TemporaryDirectory() as d: + testfile = Path(d).joinpath("test.py") + testfile.write_text(src) + subprocess.run(["python", testfile.absolute().as_posix()], check=True) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_packing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_packing.py new file mode 100644 index 0000000000000000000000000000000000000000..a557cafa3873525d4e561cbcbef3db932c578f76 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_packing.py @@ -0,0 +1,312 @@ +import dataclasses +import typing + +import numpy as np +import pytest + +from einops import EinopsError, asnumpy, pack, unpack +from einops.tests import collect_test_backends + +rng = np.random.default_rng() + + +def pack_unpack(xs, pattern): + x, ps = pack(xs, pattern) + unpacked = unpack(xs, ps, pattern) + assert len(unpacked) == len(xs) + for a, b in zip(unpacked, xs): + assert np.allclose(asnumpy(a), asnumpy(b)) + + +def unpack_and_pack(x, ps, pattern: str): + unpacked = unpack(x, ps, pattern) + packed, ps2 = pack(unpacked, pattern=pattern) + + assert np.allclose(asnumpy(packed), asnumpy(x)) + return unpacked + + +def unpack_and_pack_against_numpy(x, ps, pattern: str): + capturer_backend = CaptureException() + capturer_numpy = CaptureException() + + with capturer_backend: + unpacked = unpack(x, ps, pattern) + packed, ps2 = pack(unpacked, pattern=pattern) + + with capturer_numpy: + x_np = asnumpy(x) + unpacked_np = unpack(x_np, ps, pattern) + packed_np, ps3 = pack(unpacked_np, pattern=pattern) + + assert type(capturer_numpy.exception) == type(capturer_backend.exception) # noqa E721 + if capturer_numpy.exception is not None: + # both failed + return + else: + # neither failed, check results are identical + assert np.allclose(asnumpy(packed), asnumpy(x)) + assert np.allclose(asnumpy(packed_np), asnumpy(x)) + assert len(unpacked) == len(unpacked_np) + for a, b in zip(unpacked, unpacked_np): + assert np.allclose(asnumpy(a), b) + + +class CaptureException: + def __enter__(self): + self.exception = None + + def __exit__(self, exc_type, exc_val, exc_tb): + self.exception = exc_val + return True + + +def test_numpy_trivial(H=13, W=17): + def rand(*shape): + return rng.random(shape) + + def check(a, b): + assert a.dtype == b.dtype + assert a.shape == b.shape + assert np.all(a == b) + + r, g, b = rand(3, H, W) + embeddings = rand(H, W, 32) + + check( + np.stack([r, g, b], axis=2), + pack([r, g, b], "h w *")[0], + ) + check( + np.stack([r, g, b], axis=1), + pack([r, g, b], "h * w")[0], + ) + check( + np.stack([r, g, b], axis=0), + pack([r, g, b], "* h w")[0], + ) + + check( + np.concatenate([r, g, b], axis=1), + pack([r, g, b], "h *")[0], + ) + check( + np.concatenate([r, g, b], axis=0), + pack([r, g, b], "* w")[0], + ) + + i = np.index_exp[:, :, None] + check( + np.concatenate([r[i], g[i], b[i], embeddings], axis=2), + pack([r, g, b, embeddings], "h w *")[0], + ) + + with pytest.raises(EinopsError): + pack([r, g, b, embeddings], "h w nonexisting_axis *") + + pack([r, g, b], "some_name_for_H some_name_for_w1 *") + + with pytest.raises(EinopsError): + pack([r, g, b, embeddings], "h _w *") # no leading underscore + with pytest.raises(EinopsError): + pack([r, g, b, embeddings], "h_ w *") # no trailing underscore + with pytest.raises(EinopsError): + pack([r, g, b, embeddings], "1h_ w *") + with pytest.raises(EinopsError): + pack([r, g, b, embeddings], "1 w *") + with pytest.raises(EinopsError): + pack([r, g, b, embeddings], "h h *") + # capital and non-capital are different + pack([r, g, b, embeddings], "h H *") + + +@dataclasses.dataclass +class UnpackTestCase: + shape: typing.Tuple[int, ...] + pattern: str + + def dim(self): + return self.pattern.split().index("*") + + def selfcheck(self): + assert self.shape[self.dim()] == 5 + + +cases = [ + # NB: in all cases unpacked axis is of length 5. + # that's actively used in tests below + UnpackTestCase((5,), "*"), + UnpackTestCase((5, 7), "* seven"), + UnpackTestCase((7, 5), "seven *"), + UnpackTestCase((5, 3, 4), "* three four"), + UnpackTestCase((4, 5, 3), "four * three"), + UnpackTestCase((3, 4, 5), "three four *"), +] + + +def test_pack_unpack_with_numpy(): + case: UnpackTestCase + + for case in cases: + shape = case.shape + pattern = case.pattern + + x = rng.random(shape) + # all correct, no minus 1 + unpack_and_pack(x, [[2], [1], [2]], pattern) + # no -1, asking for wrong shapes + with pytest.raises(EinopsError): + unpack_and_pack(x, [[2], [1], [2]], pattern + " non_existent_axis") + with pytest.raises(EinopsError): + unpack_and_pack(x, [[2], [1], [1]], pattern) + with pytest.raises(EinopsError): + unpack_and_pack(x, [[4], [1], [1]], pattern) + # all correct, with -1 + unpack_and_pack(x, [[2], [1], [-1]], pattern) + unpack_and_pack(x, [[2], [-1], [2]], pattern) + unpack_and_pack(x, [[-1], [1], [2]], pattern) + _, _, last = unpack_and_pack(x, [[2], [3], [-1]], pattern) + assert last.shape[case.dim()] == 0 + # asking for more elements than available + with pytest.raises(EinopsError): + unpack(x, [[2], [4], [-1]], pattern) + # this one does not raise, because indexing x[2:1] just returns zero elements + # with pytest.raises(EinopsError): + # unpack(x, [[2], [-1], [4]], pattern) + with pytest.raises(EinopsError): + unpack(x, [[-1], [1], [5]], pattern) + + # all correct, -1 nested + rs = unpack_and_pack(x, [[1, 2], [1, 1], [-1, 1]], pattern) + assert all(len(r.shape) == len(x.shape) + 1 for r in rs) + rs = unpack_and_pack(x, [[1, 2], [1, -1], [1, 1]], pattern) + assert all(len(r.shape) == len(x.shape) + 1 for r in rs) + rs = unpack_and_pack(x, [[2, -1], [1, 2], [1, 1]], pattern) + assert all(len(r.shape) == len(x.shape) + 1 for r in rs) + + # asking for more elements, -1 nested + with pytest.raises(EinopsError): + unpack(x, [[-1, 2], [1], [5]], pattern) + with pytest.raises(EinopsError): + unpack(x, [[2, 2], [2], [5, -1]], pattern) + + # asking for non-divisible number of elements + with pytest.raises(EinopsError): + unpack(x, [[2, 1], [1], [3, -1]], pattern) + with pytest.raises(EinopsError): + unpack(x, [[2, 1], [3, -1], [1]], pattern) + with pytest.raises(EinopsError): + unpack(x, [[3, -1], [2, 1], [1]], pattern) + + # -1 takes zero + unpack_and_pack(x, [[0], [5], [-1]], pattern) + unpack_and_pack(x, [[0], [-1], [5]], pattern) + unpack_and_pack(x, [[-1], [5], [0]], pattern) + + # -1 takes zero, -1 + unpack_and_pack(x, [[2, -1], [1, 5]], pattern) + + +def test_pack_unpack_against_numpy(): + for backend in collect_test_backends(symbolic=False, layers=False): + print(f"test packing against numpy for {backend.framework_name}") + check_zero_len = True + + for case in cases: + unpack_and_pack = unpack_and_pack_against_numpy + shape = case.shape + pattern = case.pattern + + x = rng.random(shape) + x = backend.from_numpy(x) + # all correct, no minus 1 + unpack_and_pack(x, [[2], [1], [2]], pattern) + # no -1, asking for wrong shapes + with pytest.raises(EinopsError): + unpack(x, [[2], [1], [1]], pattern) + + with pytest.raises(EinopsError): + unpack(x, [[4], [1], [1]], pattern) + # all correct, with -1 + unpack_and_pack(x, [[2], [1], [-1]], pattern) + unpack_and_pack(x, [[2], [-1], [2]], pattern) + unpack_and_pack(x, [[-1], [1], [2]], pattern) + + # asking for more elements than available + with pytest.raises(EinopsError): + unpack(x, [[2], [4], [-1]], pattern) + # this one does not raise, because indexing x[2:1] just returns zero elements + # with pytest.raises(EinopsError): + # unpack(x, [[2], [-1], [4]], pattern) + with pytest.raises(EinopsError): + unpack(x, [[-1], [1], [5]], pattern) + + # all correct, -1 nested + unpack_and_pack(x, [[1, 2], [1, 1], [-1, 1]], pattern) + unpack_and_pack(x, [[1, 2], [1, -1], [1, 1]], pattern) + unpack_and_pack(x, [[2, -1], [1, 2], [1, 1]], pattern) + + # asking for more elements, -1 nested + with pytest.raises(EinopsError): + unpack(x, [[-1, 2], [1], [5]], pattern) + with pytest.raises(EinopsError): + unpack(x, [[2, 2], [2], [5, -1]], pattern) + + # asking for non-divisible number of elements + with pytest.raises(EinopsError): + unpack(x, [[2, 1], [1], [3, -1]], pattern) + with pytest.raises(EinopsError): + unpack(x, [[2, 1], [3, -1], [1]], pattern) + with pytest.raises(EinopsError): + unpack(x, [[3, -1], [2, 1], [1]], pattern) + + if check_zero_len: + # -1 takes zero + unpack_and_pack(x, [[2], [3], [-1]], pattern) + unpack_and_pack(x, [[0], [5], [-1]], pattern) + unpack_and_pack(x, [[0], [-1], [5]], pattern) + unpack_and_pack(x, [[-1], [5], [0]], pattern) + + # -1 takes zero, -1 + unpack_and_pack(x, [[2, -1], [1, 5]], pattern) + + +def test_pack_unpack_array_api(): + import numpy as xp + + from einops import array_api as AA + + if xp.__version__ < "2.0.0": + pytest.skip() + + for case in cases: + shape = case.shape + pattern = case.pattern + x_np = rng.random(shape) + x_xp = xp.from_dlpack(x_np) + + for ps in [ + [[2], [1], [2]], + [[1], [1], [-1]], + [[1], [1], [-1, 3]], + [[2, 1], [1, 1, 1], [-1]], + ]: + x_np_split = unpack(x_np, ps, pattern) + x_xp_split = AA.unpack(x_xp, ps, pattern) + for a, b in zip(x_np_split, x_xp_split): + assert np.allclose(a, AA.asnumpy(b + 0)) + + x_agg_np, ps1 = pack(x_np_split, pattern) + x_agg_xp, ps2 = AA.pack(x_xp_split, pattern) + assert ps1 == ps2 + assert np.allclose(x_agg_np, AA.asnumpy(x_agg_xp)) + + for ps in [ + [[2, 3]], + [[1], [5]], + [[1], [5], [-1]], + [[1], [2, 3]], + [[1], [5], [-1, 2]], + ]: + with pytest.raises(EinopsError): + unpack(x_np, ps, pattern) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_parsing.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_parsing.py new file mode 100644 index 0000000000000000000000000000000000000000..1cb661b1fa9cd1a6456a00b59e4a095c59a78a9d --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/einops/tests/test_parsing.py @@ -0,0 +1,126 @@ +import pytest + +from einops import EinopsError +from einops.parsing import AnonymousAxis, ParsedExpression, _ellipsis + +__author__ = "Alex Rogozhnikov" + + +class AnonymousAxisPlaceholder: + def __init__(self, value: int): + self.value = value + assert isinstance(self.value, int) + + def __eq__(self, other): + return isinstance(other, AnonymousAxis) and self.value == other.value + + +def test_anonymous_axes(): + a, b = AnonymousAxis("2"), AnonymousAxis("2") + assert a != b + c, d = AnonymousAxisPlaceholder(2), AnonymousAxisPlaceholder(3) + assert a == c and b == c + assert a != d and b != d + assert [a, 2, b] == [c, 2, c] + + +def test_elementary_axis_name(): + for name in [ + "a", + "b", + "h", + "dx", + "h1", + "zz", + "i9123", + "somelongname", + "Alex", + "camelCase", + "u_n_d_e_r_score", + "unreasonablyLongAxisName", + ]: + assert ParsedExpression.check_axis_name(name) + + for name in ["", "2b", "12", "_startWithUnderscore", "endWithUnderscore_", "_", "...", _ellipsis]: + assert not ParsedExpression.check_axis_name(name) + + +def test_invalid_expressions(): + # double ellipsis should raise an error + ParsedExpression("... a b c d") + with pytest.raises(EinopsError): + ParsedExpression("... a b c d ...") + with pytest.raises(EinopsError): + ParsedExpression("... a b c (d ...)") + with pytest.raises(EinopsError): + ParsedExpression("(... a) b c (d ...)") + + # double/missing/enclosed parenthesis + ParsedExpression("(a) b c (d ...)") + with pytest.raises(EinopsError): + ParsedExpression("(a)) b c (d ...)") + with pytest.raises(EinopsError): + ParsedExpression("(a b c (d ...)") + with pytest.raises(EinopsError): + ParsedExpression("(a) (()) b c (d ...)") + with pytest.raises(EinopsError): + ParsedExpression("(a) ((b c) (d ...))") + + # invalid identifiers + ParsedExpression("camelCase under_scored cApiTaLs ß ...") + with pytest.raises(EinopsError): + ParsedExpression("1a") + with pytest.raises(EinopsError): + ParsedExpression("_pre") + with pytest.raises(EinopsError): + ParsedExpression("...pre") + with pytest.raises(EinopsError): + ParsedExpression("pre...") + + +def test_parse_expression(): + parsed = ParsedExpression("a1 b1 c1 d1") + assert parsed.identifiers == {"a1", "b1", "c1", "d1"} + assert parsed.composition == [["a1"], ["b1"], ["c1"], ["d1"]] + assert not parsed.has_non_unitary_anonymous_axes + assert not parsed.has_ellipsis + + parsed = ParsedExpression("() () () ()") + assert parsed.identifiers == set() + assert parsed.composition == [[], [], [], []] + assert not parsed.has_non_unitary_anonymous_axes + assert not parsed.has_ellipsis + + parsed = ParsedExpression("1 1 1 ()") + assert parsed.identifiers == set() + assert parsed.composition == [[], [], [], []] + assert not parsed.has_non_unitary_anonymous_axes + assert not parsed.has_ellipsis + + aap = AnonymousAxisPlaceholder + + parsed = ParsedExpression("5 (3 4)") + assert len(parsed.identifiers) == 3 and {i.value for i in parsed.identifiers} == {3, 4, 5} + assert parsed.composition == [[aap(5)], [aap(3), aap(4)]] + assert parsed.has_non_unitary_anonymous_axes + assert not parsed.has_ellipsis + + parsed = ParsedExpression("5 1 (1 4) 1") + assert len(parsed.identifiers) == 2 and {i.value for i in parsed.identifiers} == {4, 5} + assert parsed.composition == [[aap(5)], [], [aap(4)], []] + + parsed = ParsedExpression("name1 ... a1 12 (name2 14)") + assert len(parsed.identifiers) == 6 + assert parsed.identifiers.difference({"name1", _ellipsis, "a1", "name2"}).__len__() == 2 + assert parsed.composition == [["name1"], _ellipsis, ["a1"], [aap(12)], ["name2", aap(14)]] + assert parsed.has_non_unitary_anonymous_axes + assert parsed.has_ellipsis + assert not parsed.has_ellipsis_parenthesized + + parsed = ParsedExpression("(name1 ... a1 12) name2 14") + assert len(parsed.identifiers) == 6 + assert parsed.identifiers.difference({"name1", _ellipsis, "a1", "name2"}).__len__() == 2 + assert parsed.composition == [["name1", _ellipsis, "a1", aap(12)], ["name2"], [aap(14)]] + assert parsed.has_non_unitary_anonymous_axes + assert parsed.has_ellipsis + assert parsed.has_ellipsis_parenthesized diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/INSTALLER b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/METADATA b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..65710463753a3f771dbe346bbc18e25a4c6169e3 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/METADATA @@ -0,0 +1,42 @@ +Metadata-Version: 2.4 +Name: filelock +Version: 3.20.3 +Summary: A platform independent file lock. +Project-URL: Documentation, https://py-filelock.readthedocs.io +Project-URL: Homepage, https://github.com/tox-dev/py-filelock +Project-URL: Source, https://github.com/tox-dev/py-filelock +Project-URL: Tracker, https://github.com/tox-dev/py-filelock/issues +Maintainer-email: Bernát Gábor +License-Expression: Unlicense +License-File: LICENSE +Keywords: application,cache,directory,log,user +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: The Unlicense (Unlicense) +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 :: Only +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Programming Language :: Python :: 3.14 +Classifier: Topic :: Internet +Classifier: Topic :: Software Development :: Libraries +Classifier: Topic :: System +Requires-Python: >=3.10 +Description-Content-Type: text/markdown + +# filelock + +[![PyPI](https://img.shields.io/pypi/v/filelock)](https://pypi.org/project/filelock/) +[![Supported Python +versions](https://img.shields.io/pypi/pyversions/filelock.svg)](https://pypi.org/project/filelock/) +[![Documentation +status](https://readthedocs.org/projects/py-filelock/badge/?version=latest)](https://py-filelock.readthedocs.io/en/latest/?badge=latest) +[![Code style: +black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) +[![Downloads](https://static.pepy.tech/badge/filelock/month)](https://pepy.tech/project/filelock) +[![check](https://github.com/tox-dev/py-filelock/actions/workflows/check.yaml/badge.svg)](https://github.com/tox-dev/py-filelock/actions/workflows/check.yaml) + +For more information checkout the [official documentation](https://py-filelock.readthedocs.io/en/latest/index.html). diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/RECORD b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..5a5aed7483db1b60eaccf80a0e60a54aa200f92c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/RECORD @@ -0,0 +1,24 @@ +filelock-3.20.3.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +filelock-3.20.3.dist-info/METADATA,sha256=JLMKgb4a3bh7eiSAtuZeN64CSsMZGbYMT5A50feUSc4,2110 +filelock-3.20.3.dist-info/RECORD,, +filelock-3.20.3.dist-info/WHEEL,sha256=WLgqFyCfm_KASv4WHyYy0P3pM_m7J5L9k2skdKLirC8,87 +filelock-3.20.3.dist-info/licenses/LICENSE,sha256=iNm062BXnBkew5HKBMFhMFctfu3EqG2qWL8oxuFMm80,1210 +filelock/__init__.py,sha256=_t_-OAGXo_qyPa9lNQ1YnzVYEvSW3I0onPqzpomsVVg,1769 +filelock/__pycache__/__init__.cpython-310.pyc,, +filelock/__pycache__/_api.cpython-310.pyc,, +filelock/__pycache__/_error.cpython-310.pyc,, +filelock/__pycache__/_soft.cpython-310.pyc,, +filelock/__pycache__/_unix.cpython-310.pyc,, +filelock/__pycache__/_util.cpython-310.pyc,, +filelock/__pycache__/_windows.cpython-310.pyc,, +filelock/__pycache__/asyncio.cpython-310.pyc,, +filelock/__pycache__/version.cpython-310.pyc,, +filelock/_api.py,sha256=2aATBeJ3-jtMj5OSm7EE539iNaTBsf13KXtcBMoi8oM,14545 +filelock/_error.py,sha256=-5jMcjTu60YAvAO1UbqDD1GIEjVkwr8xCFwDBtMeYDg,787 +filelock/_soft.py,sha256=EFZj3Ekf-Uqeluoj4ja7toyzyyF26-wyCcJjP6myKXo,1737 +filelock/_unix.py,sha256=6jHtSr4hgiT0MqLHdgYOGWJmupM_AlQYgRTFoBQdsQk,2488 +filelock/_util.py,sha256=QHBoNFIYfbAThhotH3Q8E2acFc84wpG49-T-uu017ZE,1715 +filelock/_windows.py,sha256=-am54hTdMjxkfy5NZFCt_7HFilvdCt7oBz1bYG_qMm4,3780 +filelock/asyncio.py,sha256=dSLe6XZSECFOgsVpcQUSh5Y5zAHxHGPu_tfpPX9I45k,12514 +filelock/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +filelock/version.py,sha256=-vGxE1ct25U4l5Y9HeQocuA3zfzAjJL9WmaPFsLsDY4,706 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/WHEEL b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..ae8ec1bdaa94d726ceb907542d76cbd5d38cafcd --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock-3.20.3.dist-info/WHEEL @@ -0,0 +1,4 @@ +Wheel-Version: 1.0 +Generator: hatchling 1.28.0 +Root-Is-Purelib: true +Tag: py3-none-any diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/__init__.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c9d8c5b8ebe565a652b3671b3dfa066f7346af45 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/__init__.py @@ -0,0 +1,70 @@ +""" +A platform independent file lock that supports the with-statement. + +.. autodata:: filelock.__version__ + :no-value: + +""" + +from __future__ import annotations + +import sys +import warnings +from typing import TYPE_CHECKING + +from ._api import AcquireReturnProxy, BaseFileLock +from ._error import Timeout +from ._soft import SoftFileLock +from ._unix import UnixFileLock, has_fcntl +from ._windows import WindowsFileLock +from .asyncio import ( + AsyncAcquireReturnProxy, + AsyncSoftFileLock, + AsyncUnixFileLock, + AsyncWindowsFileLock, + BaseAsyncFileLock, +) +from .version import version + +#: version of the project as a string +__version__: str = version + + +if sys.platform == "win32": # pragma: win32 cover + _FileLock: type[BaseFileLock] = WindowsFileLock + _AsyncFileLock: type[BaseAsyncFileLock] = AsyncWindowsFileLock +else: # pragma: win32 no cover # noqa: PLR5501 + if has_fcntl: + _FileLock: type[BaseFileLock] = UnixFileLock + _AsyncFileLock: type[BaseAsyncFileLock] = AsyncUnixFileLock + else: + _FileLock = SoftFileLock + _AsyncFileLock = AsyncSoftFileLock + if warnings is not None: + warnings.warn("only soft file lock is available", stacklevel=2) + +if TYPE_CHECKING: + FileLock = SoftFileLock + AsyncFileLock = AsyncSoftFileLock +else: + #: Alias for the lock, which should be used for the current platform. + FileLock = _FileLock + AsyncFileLock = _AsyncFileLock + + +__all__ = [ + "AcquireReturnProxy", + "AsyncAcquireReturnProxy", + "AsyncFileLock", + "AsyncSoftFileLock", + "AsyncUnixFileLock", + "AsyncWindowsFileLock", + "BaseAsyncFileLock", + "BaseFileLock", + "FileLock", + "SoftFileLock", + "Timeout", + "UnixFileLock", + "WindowsFileLock", + "__version__", +] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_api.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_api.py new file mode 100644 index 0000000000000000000000000000000000000000..8fde69a0fef7badcc123d17735cd784a99baed52 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_api.py @@ -0,0 +1,403 @@ +from __future__ import annotations + +import contextlib +import inspect +import logging +import os +import time +import warnings +from abc import ABCMeta, abstractmethod +from dataclasses import dataclass +from threading import local +from typing import TYPE_CHECKING, Any, cast +from weakref import WeakValueDictionary + +from ._error import Timeout + +if TYPE_CHECKING: + import sys + from types import TracebackType + + if sys.version_info >= (3, 11): # pragma: no cover (py311+) + from typing import Self + else: # pragma: no cover ( None: + self.lock = lock + + def __enter__(self) -> BaseFileLock: + return self.lock + + def __exit__( + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + traceback: TracebackType | None, + ) -> None: + self.lock.release() + + +@dataclass +class FileLockContext: + """A dataclass which holds the context for a ``BaseFileLock`` object.""" + + # The context is held in a separate class to allow optional use of thread local storage via the + # ThreadLocalFileContext class. + + #: The path to the lock file. + lock_file: str + + #: The default timeout value. + timeout: float + + #: The mode for the lock files + mode: int + + #: Whether the lock should be blocking or not + blocking: bool + + #: The file descriptor for the *_lock_file* as it is returned by the os.open() function, not None when lock held + lock_file_fd: int | None = None + + #: The lock counter is used for implementing the nested locking mechanism. + lock_counter: int = 0 # When the lock is acquired is increased and the lock is only released, when this value is 0 + + +class ThreadLocalFileContext(FileLockContext, local): + """A thread local version of the ``FileLockContext`` class.""" + + +class FileLockMeta(ABCMeta): + def __call__( # noqa: PLR0913 + cls, + lock_file: str | os.PathLike[str], + timeout: float = -1, + mode: int = 0o644, + thread_local: bool = True, # noqa: FBT001, FBT002 + *, + blocking: bool = True, + is_singleton: bool = False, + **kwargs: Any, # capture remaining kwargs for subclasses # noqa: ANN401 + ) -> BaseFileLock: + if is_singleton: + instance = cls._instances.get(str(lock_file)) # type: ignore[attr-defined] + if instance: + params_to_check = { + "thread_local": (thread_local, instance.is_thread_local()), + "timeout": (timeout, instance.timeout), + "mode": (mode, instance.mode), + "blocking": (blocking, instance.blocking), + } + + non_matching_params = { + name: (passed_param, set_param) + for name, (passed_param, set_param) in params_to_check.items() + if passed_param != set_param + } + if not non_matching_params: + return cast("BaseFileLock", instance) + + # parameters do not match; raise error + msg = "Singleton lock instances cannot be initialized with differing arguments" + msg += "\nNon-matching arguments: " + for param_name, (passed_param, set_param) in non_matching_params.items(): + msg += f"\n\t{param_name} (existing lock has {set_param} but {passed_param} was passed)" + raise ValueError(msg) + + # Workaround to make `__init__`'s params optional in subclasses + # E.g. virtualenv changes the signature of the `__init__` method in the `BaseFileLock` class descendant + # (https://github.com/tox-dev/filelock/pull/340) + + all_params = { + "timeout": timeout, + "mode": mode, + "thread_local": thread_local, + "blocking": blocking, + "is_singleton": is_singleton, + **kwargs, + } + + present_params = inspect.signature(cls.__init__).parameters # type: ignore[misc] + init_params = {key: value for key, value in all_params.items() if key in present_params} + + instance = super().__call__(lock_file, **init_params) + + if is_singleton: + cls._instances[str(lock_file)] = instance # type: ignore[attr-defined] + + return cast("BaseFileLock", instance) + + +class BaseFileLock(contextlib.ContextDecorator, metaclass=FileLockMeta): + """Abstract base class for a file lock object.""" + + _instances: WeakValueDictionary[str, BaseFileLock] + + def __init_subclass__(cls, **kwargs: dict[str, Any]) -> None: + """Setup unique state for lock subclasses.""" + super().__init_subclass__(**kwargs) + cls._instances = WeakValueDictionary() + + def __init__( # noqa: PLR0913 + self, + lock_file: str | os.PathLike[str], + timeout: float = -1, + mode: int = 0o644, + thread_local: bool = True, # noqa: FBT001, FBT002 + *, + blocking: bool = True, + is_singleton: bool = False, + ) -> None: + """ + Create a new lock object. + + :param lock_file: path to the file + :param timeout: default timeout when acquiring the lock, in seconds. It will be used as fallback value in \ + the acquire method, if no timeout value (``None``) is given. If you want to disable the timeout, set it \ + to a negative value. A timeout of 0 means that there is exactly one attempt to acquire the file lock. + :param mode: file permissions for the lockfile + :param thread_local: Whether this object's internal context should be thread local or not. If this is set to \ + ``False`` then the lock will be reentrant across threads. + :param blocking: whether the lock should be blocking or not + :param is_singleton: If this is set to ``True`` then only one instance of this class will be created \ + per lock file. This is useful if you want to use the lock object for reentrant locking without needing \ + to pass the same object around. + + """ + self._is_thread_local = thread_local + self._is_singleton = is_singleton + + # Create the context. Note that external code should not work with the context directly and should instead use + # properties of this class. + kwargs: dict[str, Any] = { + "lock_file": os.fspath(lock_file), + "timeout": timeout, + "mode": mode, + "blocking": blocking, + } + self._context: FileLockContext = (ThreadLocalFileContext if thread_local else FileLockContext)(**kwargs) + + def is_thread_local(self) -> bool: + """:return: a flag indicating if this lock is thread local or not""" + return self._is_thread_local + + @property + def is_singleton(self) -> bool: + """:return: a flag indicating if this lock is singleton or not""" + return self._is_singleton + + @property + def lock_file(self) -> str: + """:return: path to the lock file""" + return self._context.lock_file + + @property + def timeout(self) -> float: + """ + :return: the default timeout value, in seconds + + .. versionadded:: 2.0.0 + """ + return self._context.timeout + + @timeout.setter + def timeout(self, value: float | str) -> None: + """ + Change the default timeout value. + + :param value: the new value, in seconds + + """ + self._context.timeout = float(value) + + @property + def blocking(self) -> bool: + """:return: whether the locking is blocking or not""" + return self._context.blocking + + @blocking.setter + def blocking(self, value: bool) -> None: + """ + Change the default blocking value. + + :param value: the new value as bool + + """ + self._context.blocking = value + + @property + def mode(self) -> int: + """:return: the file permissions for the lockfile""" + return self._context.mode + + @abstractmethod + def _acquire(self) -> None: + """If the file lock could be acquired, self._context.lock_file_fd holds the file descriptor of the lock file.""" + raise NotImplementedError + + @abstractmethod + def _release(self) -> None: + """Releases the lock and sets self._context.lock_file_fd to None.""" + raise NotImplementedError + + @property + def is_locked(self) -> bool: + """ + + :return: A boolean indicating if the lock file is holding the lock currently. + + .. versionchanged:: 2.0.0 + + This was previously a method and is now a property. + """ + return self._context.lock_file_fd is not None + + @property + def lock_counter(self) -> int: + """:return: The number of times this lock has been acquired (but not yet released).""" + return self._context.lock_counter + + def acquire( + self, + timeout: float | None = None, + poll_interval: float = 0.05, + *, + poll_intervall: float | None = None, + blocking: bool | None = None, + ) -> AcquireReturnProxy: + """ + Try to acquire the file lock. + + :param timeout: maximum wait time for acquiring the lock, ``None`` means use the default :attr:`~timeout` is and + if ``timeout < 0``, there is no timeout and this method will block until the lock could be acquired + :param poll_interval: interval of trying to acquire the lock file + :param poll_intervall: deprecated, kept for backwards compatibility, use ``poll_interval`` instead + :param blocking: defaults to True. If False, function will return immediately if it cannot obtain a lock on the + first attempt. Otherwise, this method will block until the timeout expires or the lock is acquired. + :raises Timeout: if fails to acquire lock within the timeout period + :return: a context object that will unlock the file when the context is exited + + .. code-block:: python + + # You can use this method in the context manager (recommended) + with lock.acquire(): + pass + + # Or use an equivalent try-finally construct: + lock.acquire() + try: + pass + finally: + lock.release() + + .. versionchanged:: 2.0.0 + + This method returns now a *proxy* object instead of *self*, + so that it can be used in a with statement without side effects. + + """ + # Use the default timeout, if no timeout is provided. + if timeout is None: + timeout = self._context.timeout + + if blocking is None: + blocking = self._context.blocking + + if poll_intervall is not None: + msg = "use poll_interval instead of poll_intervall" + warnings.warn(msg, DeprecationWarning, stacklevel=2) + poll_interval = poll_intervall + + # Increment the number right at the beginning. We can still undo it, if something fails. + self._context.lock_counter += 1 + + lock_id = id(self) + lock_filename = self.lock_file + start_time = time.perf_counter() + try: + while True: + if not self.is_locked: + _LOGGER.debug("Attempting to acquire lock %s on %s", lock_id, lock_filename) + self._acquire() + if self.is_locked: + _LOGGER.debug("Lock %s acquired on %s", lock_id, lock_filename) + break + if blocking is False: + _LOGGER.debug("Failed to immediately acquire lock %s on %s", lock_id, lock_filename) + raise Timeout(lock_filename) # noqa: TRY301 + if 0 <= timeout < time.perf_counter() - start_time: + _LOGGER.debug("Timeout on acquiring lock %s on %s", lock_id, lock_filename) + raise Timeout(lock_filename) # noqa: TRY301 + msg = "Lock %s not acquired on %s, waiting %s seconds ..." + _LOGGER.debug(msg, lock_id, lock_filename, poll_interval) + time.sleep(poll_interval) + except BaseException: # Something did go wrong, so decrement the counter. + self._context.lock_counter = max(0, self._context.lock_counter - 1) + raise + return AcquireReturnProxy(lock=self) + + def release(self, force: bool = False) -> None: # noqa: FBT001, FBT002 + """ + Releases the file lock. Please note, that the lock is only completely released, if the lock counter is 0. + Also note, that the lock file itself is not automatically deleted. + + :param force: If true, the lock counter is ignored and the lock is released in every case/ + + """ + if self.is_locked: + self._context.lock_counter -= 1 + + if self._context.lock_counter == 0 or force: + lock_id, lock_filename = id(self), self.lock_file + + _LOGGER.debug("Attempting to release lock %s on %s", lock_id, lock_filename) + self._release() + self._context.lock_counter = 0 + _LOGGER.debug("Lock %s released on %s", lock_id, lock_filename) + + def __enter__(self) -> Self: + """ + Acquire the lock. + + :return: the lock object + + """ + self.acquire() + return self + + def __exit__( + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + traceback: TracebackType | None, + ) -> None: + """ + Release the lock. + + :param exc_type: the exception type if raised + :param exc_value: the exception value if raised + :param traceback: the exception traceback if raised + + """ + self.release() + + def __del__(self) -> None: + """Called when the lock object is deleted.""" + self.release(force=True) + + +__all__ = [ + "AcquireReturnProxy", + "BaseFileLock", +] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_error.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_error.py new file mode 100644 index 0000000000000000000000000000000000000000..f7ff08c0f508ad7077eb6ed1990898840c952b3a --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_error.py @@ -0,0 +1,30 @@ +from __future__ import annotations + +from typing import Any + + +class Timeout(TimeoutError): # noqa: N818 + """Raised when the lock could not be acquired in *timeout* seconds.""" + + def __init__(self, lock_file: str) -> None: + super().__init__() + self._lock_file = lock_file + + def __reduce__(self) -> str | tuple[Any, ...]: + return self.__class__, (self._lock_file,) # Properly pickle the exception + + def __str__(self) -> str: + return f"The file lock '{self._lock_file}' could not be acquired." + + def __repr__(self) -> str: + return f"{self.__class__.__name__}({self.lock_file!r})" + + @property + def lock_file(self) -> str: + """:return: The path of the file lock.""" + return self._lock_file + + +__all__ = [ + "Timeout", +] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_soft.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_soft.py new file mode 100644 index 0000000000000000000000000000000000000000..93709c5c6be69e7c4af63f2bfd09ecd9dfb18187 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_soft.py @@ -0,0 +1,49 @@ +from __future__ import annotations + +import os +import sys +from contextlib import suppress +from errno import EACCES, EEXIST +from pathlib import Path + +from ._api import BaseFileLock +from ._util import ensure_directory_exists, raise_on_not_writable_file + + +class SoftFileLock(BaseFileLock): + """Simply watches the existence of the lock file.""" + + def _acquire(self) -> None: + raise_on_not_writable_file(self.lock_file) + ensure_directory_exists(self.lock_file) + flags = ( + os.O_WRONLY # open for writing only + | os.O_CREAT + | os.O_EXCL # together with above raise EEXIST if the file specified by filename exists + | os.O_TRUNC # truncate the file to zero byte + ) + o_nofollow = getattr(os, "O_NOFOLLOW", None) + if o_nofollow is not None: + flags |= o_nofollow + try: + file_handler = os.open(self.lock_file, flags, self._context.mode) + except OSError as exception: # re-raise unless expected exception + if not ( + exception.errno == EEXIST # lock already exist + or (exception.errno == EACCES and sys.platform == "win32") # has no access to this lock + ): # pragma: win32 no cover + raise + else: + self._context.lock_file_fd = file_handler + + def _release(self) -> None: + assert self._context.lock_file_fd is not None # noqa: S101 + os.close(self._context.lock_file_fd) # the lock file is definitely not None + self._context.lock_file_fd = None + with suppress(OSError): # the file is already deleted and that's what we want + Path(self.lock_file).unlink() + + +__all__ = [ + "SoftFileLock", +] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_unix.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_unix.py new file mode 100644 index 0000000000000000000000000000000000000000..07d7ee91b6c3b025bc139ed649fda06550b47b37 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_unix.py @@ -0,0 +1,73 @@ +from __future__ import annotations + +import os +import sys +from contextlib import suppress +from errno import ENOSYS +from pathlib import Path +from typing import cast + +from ._api import BaseFileLock +from ._util import ensure_directory_exists + +#: a flag to indicate if the fcntl API is available +has_fcntl = False +if sys.platform == "win32": # pragma: win32 cover + + class UnixFileLock(BaseFileLock): + """Uses the :func:`fcntl.flock` to hard lock the lock file on unix systems.""" + + def _acquire(self) -> None: + raise NotImplementedError + + def _release(self) -> None: + raise NotImplementedError + +else: # pragma: win32 no cover + try: + import fcntl + + _ = (fcntl.flock, fcntl.LOCK_EX, fcntl.LOCK_NB, fcntl.LOCK_UN) + except (ImportError, AttributeError): + pass + else: + has_fcntl = True + + class UnixFileLock(BaseFileLock): + """Uses the :func:`fcntl.flock` to hard lock the lock file on unix systems.""" + + def _acquire(self) -> None: + ensure_directory_exists(self.lock_file) + open_flags = os.O_RDWR | os.O_TRUNC + o_nofollow = getattr(os, "O_NOFOLLOW", None) + if o_nofollow is not None: + open_flags |= o_nofollow + if not Path(self.lock_file).exists(): + open_flags |= os.O_CREAT + fd = os.open(self.lock_file, open_flags, self._context.mode) + with suppress(PermissionError): # This locked is not owned by this UID + os.fchmod(fd, self._context.mode) + try: + fcntl.flock(fd, fcntl.LOCK_EX | fcntl.LOCK_NB) + except OSError as exception: + os.close(fd) + if exception.errno == ENOSYS: # NotImplemented error + msg = "FileSystem does not appear to support flock; use SoftFileLock instead" + raise NotImplementedError(msg) from exception + else: + self._context.lock_file_fd = fd + + def _release(self) -> None: + # Do not remove the lockfile: + # https://github.com/tox-dev/py-filelock/issues/31 + # https://stackoverflow.com/questions/17708885/flock-removing-locked-file-without-race-condition + fd = cast("int", self._context.lock_file_fd) + self._context.lock_file_fd = None + fcntl.flock(fd, fcntl.LOCK_UN) + os.close(fd) + + +__all__ = [ + "UnixFileLock", + "has_fcntl", +] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_util.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_util.py new file mode 100644 index 0000000000000000000000000000000000000000..c671e8533873948f0e1b5575ff952c722019f067 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_util.py @@ -0,0 +1,52 @@ +from __future__ import annotations + +import os +import stat +import sys +from errno import EACCES, EISDIR +from pathlib import Path + + +def raise_on_not_writable_file(filename: str) -> None: + """ + Raise an exception if attempting to open the file for writing would fail. + + This is done so files that will never be writable can be separated from files that are writable but currently + locked. + + :param filename: file to check + :raises OSError: as if the file was opened for writing. + + """ + try: # use stat to do exists + can write to check without race condition + file_stat = os.stat(filename) # noqa: PTH116 + except OSError: + return # swallow does not exist or other errors + + if file_stat.st_mtime != 0: # if os.stat returns but modification is zero that's an invalid os.stat - ignore it + if not (file_stat.st_mode & stat.S_IWUSR): + raise PermissionError(EACCES, "Permission denied", filename) + + if stat.S_ISDIR(file_stat.st_mode): + if sys.platform == "win32": # pragma: win32 cover + # On Windows, this is PermissionError + raise PermissionError(EACCES, "Permission denied", filename) + else: # pragma: win32 no cover # noqa: RET506 + # On linux / macOS, this is IsADirectoryError + raise IsADirectoryError(EISDIR, "Is a directory", filename) + + +def ensure_directory_exists(filename: Path | str) -> None: + """ + Ensure the directory containing the file exists (create it if necessary). + + :param filename: file. + + """ + Path(filename).parent.mkdir(parents=True, exist_ok=True) + + +__all__ = [ + "ensure_directory_exists", + "raise_on_not_writable_file", +] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_windows.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_windows.py new file mode 100644 index 0000000000000000000000000000000000000000..c6e423b2ee0208619027dde5fcbd27246f4a1e81 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/_windows.py @@ -0,0 +1,103 @@ +from __future__ import annotations + +import os +import sys +from contextlib import suppress +from errno import EACCES +from pathlib import Path +from typing import cast + +from ._api import BaseFileLock +from ._util import ensure_directory_exists, raise_on_not_writable_file + +if sys.platform == "win32": # pragma: win32 cover + import ctypes + import msvcrt + from ctypes import wintypes + + # Windows API constants for reparse point detection + FILE_ATTRIBUTE_REPARSE_POINT = 0x00000400 + INVALID_FILE_ATTRIBUTES = 0xFFFFFFFF + + # Load kernel32.dll + _kernel32 = ctypes.WinDLL("kernel32", use_last_error=True) + _kernel32.GetFileAttributesW.argtypes = [wintypes.LPCWSTR] + _kernel32.GetFileAttributesW.restype = wintypes.DWORD + + def _is_reparse_point(path: str) -> bool: + """ + Check if a path is a reparse point (symlink, junction, etc.) on Windows. + + :param path: Path to check + :return: True if path is a reparse point, False otherwise + :raises OSError: If GetFileAttributesW fails for reasons other than file-not-found + """ + attrs = _kernel32.GetFileAttributesW(path) + if attrs == INVALID_FILE_ATTRIBUTES: + # File doesn't exist yet - that's fine, we'll create it + err = ctypes.get_last_error() + if err == 2: # noqa: PLR2004 # ERROR_FILE_NOT_FOUND + return False + if err == 3: # noqa: PLR2004 # ERROR_PATH_NOT_FOUND + return False + # Some other error - let caller handle it + return False + return bool(attrs & FILE_ATTRIBUTE_REPARSE_POINT) + + class WindowsFileLock(BaseFileLock): + """Uses the :func:`msvcrt.locking` function to hard lock the lock file on Windows systems.""" + + def _acquire(self) -> None: + raise_on_not_writable_file(self.lock_file) + ensure_directory_exists(self.lock_file) + + # Security check: Refuse to open reparse points (symlinks, junctions) + # This prevents TOCTOU symlink attacks (CVE-TBD) + if _is_reparse_point(self.lock_file): + msg = f"Lock file is a reparse point (symlink/junction): {self.lock_file}" + raise OSError(msg) + + flags = ( + os.O_RDWR # open for read and write + | os.O_CREAT # create file if not exists + | os.O_TRUNC # truncate file if not empty + ) + try: + fd = os.open(self.lock_file, flags, self._context.mode) + except OSError as exception: + if exception.errno != EACCES: # has no access to this lock + raise + else: + try: + msvcrt.locking(fd, msvcrt.LK_NBLCK, 1) + except OSError as exception: + os.close(fd) # close file first + if exception.errno != EACCES: # file is already locked + raise + else: + self._context.lock_file_fd = fd + + def _release(self) -> None: + fd = cast("int", self._context.lock_file_fd) + self._context.lock_file_fd = None + msvcrt.locking(fd, msvcrt.LK_UNLCK, 1) + os.close(fd) + + with suppress(OSError): # Probably another instance of the application hat acquired the file lock. + Path(self.lock_file).unlink() + +else: # pragma: win32 no cover + + class WindowsFileLock(BaseFileLock): + """Uses the :func:`msvcrt.locking` function to hard lock the lock file on Windows systems.""" + + def _acquire(self) -> None: + raise NotImplementedError + + def _release(self) -> None: + raise NotImplementedError + + +__all__ = [ + "WindowsFileLock", +] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/asyncio.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/asyncio.py new file mode 100644 index 0000000000000000000000000000000000000000..022d0ef6995dbcf34764366313f4f3f1e9ce8ed6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/asyncio.py @@ -0,0 +1,344 @@ +"""An asyncio-based implementation of the file lock.""" + +from __future__ import annotations + +import asyncio +import contextlib +import logging +import os +import time +from dataclasses import dataclass +from inspect import iscoroutinefunction +from threading import local +from typing import TYPE_CHECKING, Any, NoReturn, cast + +from ._api import BaseFileLock, FileLockContext, FileLockMeta +from ._error import Timeout +from ._soft import SoftFileLock +from ._unix import UnixFileLock +from ._windows import WindowsFileLock + +if TYPE_CHECKING: + import sys + from collections.abc import Callable + from concurrent import futures + from types import TracebackType + + if sys.version_info >= (3, 11): # pragma: no cover (py311+) + from typing import Self + else: # pragma: no cover ( None: # noqa: D107 + self.lock = lock + + async def __aenter__(self) -> BaseAsyncFileLock: # noqa: D105 + return self.lock + + async def __aexit__( # noqa: D105 + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + traceback: TracebackType | None, + ) -> None: + await self.lock.release() + + +class AsyncFileLockMeta(FileLockMeta): + def __call__( # type: ignore[override] # noqa: PLR0913 + cls, # noqa: N805 + lock_file: str | os.PathLike[str], + timeout: float = -1, + mode: int = 0o644, + thread_local: bool = False, # noqa: FBT001, FBT002 + *, + blocking: bool = True, + is_singleton: bool = False, + loop: asyncio.AbstractEventLoop | None = None, + run_in_executor: bool = True, + executor: futures.Executor | None = None, + ) -> BaseAsyncFileLock: + if thread_local and run_in_executor: + msg = "run_in_executor is not supported when thread_local is True" + raise ValueError(msg) + instance = super().__call__( + lock_file=lock_file, + timeout=timeout, + mode=mode, + thread_local=thread_local, + blocking=blocking, + is_singleton=is_singleton, + loop=loop, + run_in_executor=run_in_executor, + executor=executor, + ) + return cast("BaseAsyncFileLock", instance) + + +class BaseAsyncFileLock(BaseFileLock, metaclass=AsyncFileLockMeta): + """Base class for asynchronous file locks.""" + + def __init__( # noqa: PLR0913 + self, + lock_file: str | os.PathLike[str], + timeout: float = -1, + mode: int = 0o644, + thread_local: bool = False, # noqa: FBT001, FBT002 + *, + blocking: bool = True, + is_singleton: bool = False, + loop: asyncio.AbstractEventLoop | None = None, + run_in_executor: bool = True, + executor: futures.Executor | None = None, + ) -> None: + """ + Create a new lock object. + + :param lock_file: path to the file + :param timeout: default timeout when acquiring the lock, in seconds. It will be used as fallback value in \ + the acquire method, if no timeout value (``None``) is given. If you want to disable the timeout, set it \ + to a negative value. A timeout of 0 means that there is exactly one attempt to acquire the file lock. + :param mode: file permissions for the lockfile + :param thread_local: Whether this object's internal context should be thread local or not. If this is set to \ + ``False`` then the lock will be reentrant across threads. + :param blocking: whether the lock should be blocking or not + :param is_singleton: If this is set to ``True`` then only one instance of this class will be created \ + per lock file. This is useful if you want to use the lock object for reentrant locking without needing \ + to pass the same object around. + :param loop: The event loop to use. If not specified, the running event loop will be used. + :param run_in_executor: If this is set to ``True`` then the lock will be acquired in an executor. + :param executor: The executor to use. If not specified, the default executor will be used. + + """ + self._is_thread_local = thread_local + self._is_singleton = is_singleton + + # Create the context. Note that external code should not work with the context directly and should instead use + # properties of this class. + kwargs: dict[str, Any] = { + "lock_file": os.fspath(lock_file), + "timeout": timeout, + "mode": mode, + "blocking": blocking, + "loop": loop, + "run_in_executor": run_in_executor, + "executor": executor, + } + self._context: AsyncFileLockContext = (AsyncThreadLocalFileContext if thread_local else AsyncFileLockContext)( + **kwargs + ) + + @property + def run_in_executor(self) -> bool: + """::return: whether run in executor.""" + return self._context.run_in_executor + + @property + def executor(self) -> futures.Executor | None: + """::return: the executor.""" + return self._context.executor + + @executor.setter + def executor(self, value: futures.Executor | None) -> None: # pragma: no cover + """ + Change the executor. + + :param value: the new executor or ``None`` + :type value: futures.Executor | None + + """ + self._context.executor = value + + @property + def loop(self) -> asyncio.AbstractEventLoop | None: + """::return: the event loop.""" + return self._context.loop + + async def acquire( # type: ignore[override] + self, + timeout: float | None = None, + poll_interval: float = 0.05, + *, + blocking: bool | None = None, + ) -> AsyncAcquireReturnProxy: + """ + Try to acquire the file lock. + + :param timeout: maximum wait time for acquiring the lock, ``None`` means use the default + :attr:`~BaseFileLock.timeout` is and if ``timeout < 0``, there is no timeout and + this method will block until the lock could be acquired + :param poll_interval: interval of trying to acquire the lock file + :param blocking: defaults to True. If False, function will return immediately if it cannot obtain a lock on the + first attempt. Otherwise, this method will block until the timeout expires or the lock is acquired. + :raises Timeout: if fails to acquire lock within the timeout period + :return: a context object that will unlock the file when the context is exited + + .. code-block:: python + + # You can use this method in the context manager (recommended) + with lock.acquire(): + pass + + # Or use an equivalent try-finally construct: + lock.acquire() + try: + pass + finally: + lock.release() + + """ + # Use the default timeout, if no timeout is provided. + if timeout is None: + timeout = self._context.timeout + + if blocking is None: + blocking = self._context.blocking + + # Increment the number right at the beginning. We can still undo it, if something fails. + self._context.lock_counter += 1 + + lock_id = id(self) + lock_filename = self.lock_file + start_time = time.perf_counter() + try: + while True: + if not self.is_locked: + _LOGGER.debug("Attempting to acquire lock %s on %s", lock_id, lock_filename) + await self._run_internal_method(self._acquire) + if self.is_locked: + _LOGGER.debug("Lock %s acquired on %s", lock_id, lock_filename) + break + if blocking is False: + _LOGGER.debug("Failed to immediately acquire lock %s on %s", lock_id, lock_filename) + raise Timeout(lock_filename) # noqa: TRY301 + if 0 <= timeout < time.perf_counter() - start_time: + _LOGGER.debug("Timeout on acquiring lock %s on %s", lock_id, lock_filename) + raise Timeout(lock_filename) # noqa: TRY301 + msg = "Lock %s not acquired on %s, waiting %s seconds ..." + _LOGGER.debug(msg, lock_id, lock_filename, poll_interval) + await asyncio.sleep(poll_interval) + except BaseException: # Something did go wrong, so decrement the counter. + self._context.lock_counter = max(0, self._context.lock_counter - 1) + raise + return AsyncAcquireReturnProxy(lock=self) + + async def release(self, force: bool = False) -> None: # type: ignore[override] # noqa: FBT001, FBT002 + """ + Releases the file lock. Please note, that the lock is only completely released, if the lock counter is 0. + Also note, that the lock file itself is not automatically deleted. + + :param force: If true, the lock counter is ignored and the lock is released in every case/ + + """ + if self.is_locked: + self._context.lock_counter -= 1 + + if self._context.lock_counter == 0 or force: + lock_id, lock_filename = id(self), self.lock_file + + _LOGGER.debug("Attempting to release lock %s on %s", lock_id, lock_filename) + await self._run_internal_method(self._release) + self._context.lock_counter = 0 + _LOGGER.debug("Lock %s released on %s", lock_id, lock_filename) + + async def _run_internal_method(self, method: Callable[[], Any]) -> None: + if iscoroutinefunction(method): + await method() + elif self.run_in_executor: + loop = self.loop or asyncio.get_running_loop() + await loop.run_in_executor(self.executor, method) + else: + method() + + def __enter__(self) -> NoReturn: + """ + Replace old __enter__ method to avoid using it. + + NOTE: DO NOT USE `with` FOR ASYNCIO LOCKS, USE `async with` INSTEAD. + + :return: none + :rtype: NoReturn + """ + msg = "Do not use `with` for asyncio locks, use `async with` instead." + raise NotImplementedError(msg) + + async def __aenter__(self) -> Self: + """ + Acquire the lock. + + :return: the lock object + + """ + await self.acquire() + return self + + async def __aexit__( + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + traceback: TracebackType | None, + ) -> None: + """ + Release the lock. + + :param exc_type: the exception type if raised + :param exc_value: the exception value if raised + :param traceback: the exception traceback if raised + + """ + await self.release() + + def __del__(self) -> None: + """Called when the lock object is deleted.""" + with contextlib.suppress(RuntimeError): + loop = self.loop or asyncio.get_running_loop() + if not loop.is_running(): # pragma: no cover + loop.run_until_complete(self.release(force=True)) + else: + loop.create_task(self.release(force=True)) + + +class AsyncSoftFileLock(SoftFileLock, BaseAsyncFileLock): + """Simply watches the existence of the lock file.""" + + +class AsyncUnixFileLock(UnixFileLock, BaseAsyncFileLock): + """Uses the :func:`fcntl.flock` to hard lock the lock file on unix systems.""" + + +class AsyncWindowsFileLock(WindowsFileLock, BaseAsyncFileLock): + """Uses the :func:`msvcrt.locking` to hard lock the lock file on windows systems.""" + + +__all__ = [ + "AsyncAcquireReturnProxy", + "AsyncSoftFileLock", + "AsyncUnixFileLock", + "AsyncWindowsFileLock", + "BaseAsyncFileLock", +] diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/py.typed b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/version.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/version.py new file mode 100644 index 0000000000000000000000000000000000000000..0c5c0dba33e0de846f8a6d6db7804070e97496ca --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/filelock/version.py @@ -0,0 +1,34 @@ +# file generated by setuptools-scm +# don't change, don't track in version control + +__all__ = [ + "__version__", + "__version_tuple__", + "version", + "version_tuple", + "__commit_id__", + "commit_id", +] + +TYPE_CHECKING = False +if TYPE_CHECKING: + from typing import Tuple + from typing import Union + + VERSION_TUPLE = Tuple[Union[int, str], ...] + COMMIT_ID = Union[str, None] +else: + VERSION_TUPLE = object + COMMIT_ID = object + +version: str +__version__: str +__version_tuple__: VERSION_TUPLE +version_tuple: VERSION_TUPLE +commit_id: COMMIT_ID +__commit_id__: COMMIT_ID + +__version__ = version = '3.20.3' +__version_tuple__ = version_tuple = (3, 20, 3) + +__commit_id__ = commit_id = None diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..f8dab26397cf1407305257eb96506c242adf581c --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ae42be3f376d633e267db2b154529def50992533b917c4b965b895b56eda8a1b +size 988875376 diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/isympy.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/isympy.py new file mode 100644 index 0000000000000000000000000000000000000000..f7f4f7cd751f78e7d526aa50a527a914cd07d9af --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/isympy.py @@ -0,0 +1,342 @@ +""" +Python shell for SymPy. + +This is just a normal Python shell (IPython shell if you have the +IPython package installed), that executes the following commands for +the user: + + >>> from __future__ import division + >>> from sympy import * + >>> x, y, z, t = symbols('x y z t') + >>> k, m, n = symbols('k m n', integer=True) + >>> f, g, h = symbols('f g h', cls=Function) + >>> init_printing() + +So starting 'isympy' is equivalent to starting Python (or IPython) and +executing the above commands by hand. It is intended for easy and quick +experimentation with SymPy. isympy is a good way to use SymPy as an +interactive calculator. If you have IPython and Matplotlib installed, then +interactive plotting is enabled by default. + +COMMAND LINE OPTIONS +-------------------- + +-c CONSOLE, --console=CONSOLE + + Use the specified shell (Python or IPython) shell as the console + backend instead of the default one (IPython if present, Python + otherwise), e.g.: + + $isympy -c python + + CONSOLE must be one of 'ipython' or 'python' + +-p PRETTY, --pretty PRETTY + + Setup pretty-printing in SymPy. When pretty-printing is enabled, + expressions can be printed with Unicode or ASCII. The default is + to use pretty-printing (with Unicode if the terminal supports it). + When this option is 'no', expressions will not be pretty-printed + and ASCII will be used: + + $isympy -p no + + PRETTY must be one of 'unicode', 'ascii', or 'no' + +-t TYPES, --types=TYPES + + Setup the ground types for the polys. By default, gmpy ground types + are used if gmpy2 or gmpy is installed, otherwise it falls back to python + ground types, which are a little bit slower. You can manually + choose python ground types even if gmpy is installed (e.g., for + testing purposes): + + $isympy -t python + + TYPES must be one of 'gmpy', 'gmpy1' or 'python' + + Note that the ground type gmpy1 is primarily intended for testing; it + forces the use of gmpy version 1 even if gmpy2 is available. + + This is the same as setting the environment variable + SYMPY_GROUND_TYPES to the given ground type (e.g., + SYMPY_GROUND_TYPES='gmpy') + + The ground types can be determined interactively from the variable + sympy.polys.domains.GROUND_TYPES. + +-o ORDER, --order ORDER + + Setup the ordering of terms for printing. The default is lex, which + orders terms lexicographically (e.g., x**2 + x + 1). You can choose + other orderings, such as rev-lex, which will use reverse + lexicographic ordering (e.g., 1 + x + x**2): + + $isympy -o rev-lex + + ORDER must be one of 'lex', 'rev-lex', 'grlex', 'rev-grlex', + 'grevlex', 'rev-grevlex', 'old', or 'none'. + + Note that for very large expressions, ORDER='none' may speed up + printing considerably but the terms will have no canonical order. + +-q, --quiet + + Print only Python's and SymPy's versions to stdout at startup. + +-d, --doctest + + Use the same format that should be used for doctests. This is + equivalent to -c python -p no. + +-C, --no-cache + + Disable the caching mechanism. Disabling the cache may slow certain + operations down considerably. This is useful for testing the cache, + or for benchmarking, as the cache can result in deceptive timings. + + This is equivalent to setting the environment variable + SYMPY_USE_CACHE to 'no'. + +-a, --auto-symbols (requires at least IPython 0.11) + + Automatically create missing symbols. Normally, typing a name of a + Symbol that has not been instantiated first would raise NameError, + but with this option enabled, any undefined name will be + automatically created as a Symbol. + + Note that this is intended only for interactive, calculator style + usage. In a script that uses SymPy, Symbols should be instantiated + at the top, so that it's clear what they are. + + This will not override any names that are already defined, which + includes the single character letters represented by the mnemonic + QCOSINE (see the "Gotchas and Pitfalls" document in the + documentation). You can delete existing names by executing "del + name". If a name is defined, typing "'name' in dir()" will return True. + + The Symbols that are created using this have default assumptions. + If you want to place assumptions on symbols, you should create them + using symbols() or var(). + + Finally, this only works in the top level namespace. So, for + example, if you define a function in isympy with an undefined + Symbol, it will not work. + + See also the -i and -I options. + +-i, --int-to-Integer (requires at least IPython 0.11) + + Automatically wrap int literals with Integer. This makes it so that + things like 1/2 will come out as Rational(1, 2), rather than 0.5. This + works by preprocessing the source and wrapping all int literals with + Integer. Note that this will not change the behavior of int literals + assigned to variables, and it also won't change the behavior of functions + that return int literals. + + If you want an int, you can wrap the literal in int(), e.g. int(3)/int(2) + gives 1.5 (with division imported from __future__). + +-I, --interactive (requires at least IPython 0.11) + + This is equivalent to --auto-symbols --int-to-Integer. Future options + designed for ease of interactive use may be added to this. + +-D, --debug + + Enable debugging output. This is the same as setting the + environment variable SYMPY_DEBUG to 'True'. The debug status is set + in the variable SYMPY_DEBUG within isympy. + +-- IPython options + + Additionally you can pass command line options directly to the IPython + interpreter (the standard Python shell is not supported). However you + need to add the '--' separator between two types of options, e.g the + startup banner option and the colors option. You need to enter the + options as required by the version of IPython that you are using, too: + + in IPython 0.11, + + $isympy -q -- --colors=NoColor + + or older versions of IPython, + + $isympy -q -- -colors NoColor + +See also isympy --help. +""" + +import os +import sys + +# DO NOT IMPORT SYMPY HERE! Or the setting of the sympy environment variables +# by the command line will break. + +def main() -> None: + from argparse import ArgumentParser, RawDescriptionHelpFormatter + + VERSION = None + if '--version' in sys.argv: + # We cannot import sympy before this is run, because flags like -C and + # -t set environment variables that must be set before SymPy is + # imported. The only thing we need to import it for is to get the + # version, which only matters with the --version flag. + import sympy + VERSION = sympy.__version__ + + usage = 'isympy [options] -- [ipython options]' + parser = ArgumentParser( + usage=usage, + description=__doc__, + formatter_class=RawDescriptionHelpFormatter, + ) + + parser.add_argument('--version', action='version', version=VERSION) + + parser.add_argument( + '-c', '--console', + dest='console', + action='store', + default=None, + choices=['ipython', 'python'], + metavar='CONSOLE', + help='select type of interactive session: ipython | python; defaults ' + 'to ipython if IPython is installed, otherwise python') + + parser.add_argument( + '-p', '--pretty', + dest='pretty', + action='store', + default=None, + metavar='PRETTY', + choices=['unicode', 'ascii', 'no'], + help='setup pretty printing: unicode | ascii | no; defaults to ' + 'unicode printing if the terminal supports it, otherwise ascii') + + parser.add_argument( + '-t', '--types', + dest='types', + action='store', + default=None, + metavar='TYPES', + choices=['gmpy', 'gmpy1', 'python'], + help='setup ground types: gmpy | gmpy1 | python; defaults to gmpy if gmpy2 ' + 'or gmpy is installed, otherwise python') + + parser.add_argument( + '-o', '--order', + dest='order', + action='store', + default=None, + metavar='ORDER', + choices=['lex', 'grlex', 'grevlex', 'rev-lex', 'rev-grlex', 'rev-grevlex', 'old', 'none'], + help='setup ordering of terms: [rev-]lex | [rev-]grlex | [rev-]grevlex | old | none; defaults to lex') + + parser.add_argument( + '-q', '--quiet', + dest='quiet', + action='store_true', + default=False, + help='print only version information at startup') + + parser.add_argument( + '-d', '--doctest', + dest='doctest', + action='store_true', + default=False, + help='use the doctest format for output (you can just copy and paste it)') + + parser.add_argument( + '-C', '--no-cache', + dest='cache', + action='store_false', + default=True, + help='disable caching mechanism') + + parser.add_argument( + '-a', '--auto-symbols', + dest='auto_symbols', + action='store_true', + default=False, + help='automatically construct missing symbols') + + parser.add_argument( + '-i', '--int-to-Integer', + dest='auto_int_to_Integer', + action='store_true', + default=False, + help="automatically wrap int literals with Integer") + + parser.add_argument( + '-I', '--interactive', + dest='interactive', + action='store_true', + default=False, + help="equivalent to -a -i") + + parser.add_argument( + '-D', '--debug', + dest='debug', + action='store_true', + default=False, + help='enable debugging output') + + (options, ipy_args) = parser.parse_known_args() + if '--' in ipy_args: + ipy_args.remove('--') + + if not options.cache: + os.environ['SYMPY_USE_CACHE'] = 'no' + + if options.types: + os.environ['SYMPY_GROUND_TYPES'] = options.types + + if options.debug: + os.environ['SYMPY_DEBUG'] = str(options.debug) + + if options.doctest: + options.pretty = 'no' + options.console = 'python' + + session = options.console + + if session is not None: + ipython = session == 'ipython' + else: + try: + import IPython # noqa: F401 + ipython = True + except ImportError: + if not options.quiet: + from sympy.interactive.session import no_ipython + print(no_ipython) + ipython = False + + args = { + 'pretty_print': True, + 'use_unicode': None, + 'use_latex': None, + 'order': None, + 'argv': ipy_args, + } + + if options.pretty == 'unicode': + args['use_unicode'] = True + elif options.pretty == 'ascii': + args['use_unicode'] = False + elif options.pretty == 'no': + args['pretty_print'] = False + + if options.order is not None: + args['order'] = options.order + + args['quiet'] = options.quiet + args['auto_symbols'] = options.auto_symbols or options.interactive + args['auto_int_to_Integer'] = options.auto_int_to_Integer or options.interactive + + from sympy.interactive import init_session + init_session(ipython, **args) + +if __name__ == "__main__": + main() diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/package_readme.md b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/package_readme.md new file mode 100644 index 0000000000000000000000000000000000000000..2e935d793b15fa6cb2043cbd326a44e3fb539adb --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/package_readme.md @@ -0,0 +1,97 @@ +
        +

        +
        + +# Weights and Biases [![PyPI](https://img.shields.io/pypi/v/wandb)](https://pypi.python.org/pypi/wandb) [![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/wandb)](https://anaconda.org/conda-forge/wandb) [![CircleCI](https://img.shields.io/circleci/build/github/wandb/wandb/main)](https://circleci.com/gh/wandb/wandb) [![Codecov](https://img.shields.io/codecov/c/gh/wandb/wandb)](https://codecov.io/gh/wandb/wandb) + +Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production machine learning models. Get started with W&B today, [sign up for an account!](https://wandb.com?utm_source=github&utm_medium=code&utm_campaign=wandb&utm_content=readme) + + + +See the [W&B Developer Guide](https://docs.wandb.ai/?utm_source=github&utm_medium=code&utm_campaign=wandb&utm_content=documentation) and [API Reference Guide](https://docs.wandb.ai/ref?utm_source=github&utm_medium=code&utm_campaign=wandb&utm_content=documentation) for a full technical description of the W&B platform. + +  + +# Quickstart + +Get started with W&B in four steps: + +1. First, sign up for a [W&B account](https://wandb.ai/login?utm_source=github&utm_medium=code&utm_campaign=wandb&utm_content=quickstart). + +2. Second, install the W&B SDK with [pip](https://pip.pypa.io/en/stable/). Navigate to your terminal and type the following command: + +```shell +pip install wandb +``` + +3. Third, log into W&B: + +```python +wandb.login() +``` + +4. Use the example code snippet below as a template to integrate W&B to your Python script: + +```python +import wandb + +# Start a W&B Run with wandb.init +run = wandb.init(project="my_first_project") + +# Save model inputs and hyperparameters in a wandb.config object +config = run.config +config.learning_rate = 0.01 + +# Model training code here ... + +# Log metrics over time to visualize performance with wandb.log +for i in range(10): + run.log({"loss": ...}) + +# Mark the run as finished, and finish uploading all data +run.finish() +``` + +For example, if the preceding code was stored in a script called train.py: + +```shell +python train.py +``` + +You will see a URL in your terminal logs when your script starts and finishes. Data is staged locally in a directory named _wandb_ relative to your script. Navigate to the W&B App to view a dashboard of your first W&B Experiment. Use the W&B App to compare multiple experiments in a unified place, dive into the results of a single run, and much more! + +  + +# Integrations + +Use your favorite framework with W&B. W&B integrations make it fast and easy to set up experiment tracking and data versioning inside existing projects. For more information on how to integrate W&B with the framework of your choice, see [W&B Integrations](https://docs.wandb.ai/guides/integrations) in the W&B Developer Guide. + +  + +# Python Version Support + +We are committed to supporting our minimum required Python version for *at least* six months after its official end-of-life (EOL) date, as defined by the Python Software Foundation. You can find a list of Python EOL dates [here](https://devguide.python.org/versions/). + +When we discontinue support for a Python version, we will increment the library’s minor version number to reflect this change. + +  + +# Contribution guidelines +Weights & Biases ❤️ open source, and we welcome contributions from the community! See the [Contribution guide](https://github.com/wandb/wandb/blob/main/CONTRIBUTING.md) for more information on the development workflow and the internals of the wandb library. For wandb bugs and feature requests, visit [GitHub Issues](https://github.com/wandb/wandb/issues) or contact support@wandb.com. + +  + +# Academic Researchers +Reach out to W&B Support at support@wandb.com to get a [free academic license](https://www.wandb.com/academic) for you and your research group. + +  + +# W&B Community + +Be a part of the growing W&B Community and interact with the W&B team in our [Discord](https://wandb.me/discord). Stay connected with the latest ML updates and tutorials with [W&B Fully Connected](https://wandb.ai/fully-connected). + +  + +# License + +[MIT License](https://github.com/wandb/wandb/blob/main/LICENSE) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/placeholder.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/placeholder.py new file mode 100644 index 0000000000000000000000000000000000000000..867e2c84929548e9cfd08806e72a8bc045f65bb7 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/placeholder.py @@ -0,0 +1 @@ +# Placeholder \ No newline at end of file diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/six.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/six.py new file mode 100644 index 0000000000000000000000000000000000000000..3de5969b1ad3b973342e5e88ee1770fa7c798152 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/six.py @@ -0,0 +1,1003 @@ +# Copyright (c) 2010-2024 Benjamin Peterson +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in all +# copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +# SOFTWARE. + +"""Utilities for writing code that runs on Python 2 and 3""" + +from __future__ import absolute_import + +import functools +import itertools +import operator +import sys +import types + +__author__ = "Benjamin Peterson " +__version__ = "1.17.0" + + +# Useful for very coarse version differentiation. +PY2 = sys.version_info[0] == 2 +PY3 = sys.version_info[0] == 3 +PY34 = sys.version_info[0:2] >= (3, 4) + +if PY3: + string_types = str, + integer_types = int, + class_types = type, + text_type = str + binary_type = bytes + + MAXSIZE = sys.maxsize +else: + string_types = basestring, + integer_types = (int, long) + class_types = (type, types.ClassType) + text_type = unicode + binary_type = str + + if sys.platform.startswith("java"): + # Jython always uses 32 bits. + MAXSIZE = int((1 << 31) - 1) + else: + # It's possible to have sizeof(long) != sizeof(Py_ssize_t). + class X(object): + + def __len__(self): + return 1 << 31 + try: + len(X()) + except OverflowError: + # 32-bit + MAXSIZE = int((1 << 31) - 1) + else: + # 64-bit + MAXSIZE = int((1 << 63) - 1) + del X + +if PY34: + from importlib.util import spec_from_loader +else: + spec_from_loader = None + + +def _add_doc(func, doc): + """Add documentation to a function.""" + func.__doc__ = doc + + +def _import_module(name): + """Import module, returning the module after the last dot.""" + __import__(name) + return sys.modules[name] + + +class _LazyDescr(object): + + def __init__(self, name): + self.name = name + + def __get__(self, obj, tp): + result = self._resolve() + setattr(obj, self.name, result) # Invokes __set__. + try: + # This is a bit ugly, but it avoids running this again by + # removing this descriptor. + delattr(obj.__class__, self.name) + except AttributeError: + pass + return result + + +class MovedModule(_LazyDescr): + + def __init__(self, name, old, new=None): + super(MovedModule, self).__init__(name) + if PY3: + if new is None: + new = name + self.mod = new + else: + self.mod = old + + def _resolve(self): + return _import_module(self.mod) + + def __getattr__(self, attr): + _module = self._resolve() + value = getattr(_module, attr) + setattr(self, attr, value) + return value + + +class _LazyModule(types.ModuleType): + + def __init__(self, name): + super(_LazyModule, self).__init__(name) + self.__doc__ = self.__class__.__doc__ + + def __dir__(self): + attrs = ["__doc__", "__name__"] + attrs += [attr.name for attr in self._moved_attributes] + return attrs + + # Subclasses should override this + _moved_attributes = [] + + +class MovedAttribute(_LazyDescr): + + def __init__(self, name, old_mod, new_mod, old_attr=None, new_attr=None): + super(MovedAttribute, self).__init__(name) + if PY3: + if new_mod is None: + new_mod = name + self.mod = new_mod + if new_attr is None: + if old_attr is None: + new_attr = name + else: + new_attr = old_attr + self.attr = new_attr + else: + self.mod = old_mod + if old_attr is None: + old_attr = name + self.attr = old_attr + + def _resolve(self): + module = _import_module(self.mod) + return getattr(module, self.attr) + + +class _SixMetaPathImporter(object): + + """ + A meta path importer to import six.moves and its submodules. + + This class implements a PEP302 finder and loader. It should be compatible + with Python 2.5 and all existing versions of Python3 + """ + + def __init__(self, six_module_name): + self.name = six_module_name + self.known_modules = {} + + def _add_module(self, mod, *fullnames): + for fullname in fullnames: + self.known_modules[self.name + "." + fullname] = mod + + def _get_module(self, fullname): + return self.known_modules[self.name + "." + fullname] + + def find_module(self, fullname, path=None): + if fullname in self.known_modules: + return self + return None + + def find_spec(self, fullname, path, target=None): + if fullname in self.known_modules: + return spec_from_loader(fullname, self) + return None + + def __get_module(self, fullname): + try: + return self.known_modules[fullname] + except KeyError: + raise ImportError("This loader does not know module " + fullname) + + def load_module(self, fullname): + try: + # in case of a reload + return sys.modules[fullname] + except KeyError: + pass + mod = self.__get_module(fullname) + if isinstance(mod, MovedModule): + mod = mod._resolve() + else: + mod.__loader__ = self + sys.modules[fullname] = mod + return mod + + def is_package(self, fullname): + """ + Return true, if the named module is a package. + + We need this method to get correct spec objects with + Python 3.4 (see PEP451) + """ + return hasattr(self.__get_module(fullname), "__path__") + + def get_code(self, fullname): + """Return None + + Required, if is_package is implemented""" + self.__get_module(fullname) # eventually raises ImportError + return None + get_source = get_code # same as get_code + + def create_module(self, spec): + return self.load_module(spec.name) + + def exec_module(self, module): + pass + +_importer = _SixMetaPathImporter(__name__) + + +class _MovedItems(_LazyModule): + + """Lazy loading of moved objects""" + __path__ = [] # mark as package + + +_moved_attributes = [ + MovedAttribute("cStringIO", "cStringIO", "io", "StringIO"), + MovedAttribute("filter", "itertools", "builtins", "ifilter", "filter"), + MovedAttribute("filterfalse", "itertools", "itertools", "ifilterfalse", "filterfalse"), + MovedAttribute("input", "__builtin__", "builtins", "raw_input", "input"), + MovedAttribute("intern", "__builtin__", "sys"), + MovedAttribute("map", "itertools", "builtins", "imap", "map"), + MovedAttribute("getcwd", "os", "os", "getcwdu", "getcwd"), + MovedAttribute("getcwdb", "os", "os", "getcwd", "getcwdb"), + MovedAttribute("getoutput", "commands", "subprocess"), + MovedAttribute("range", "__builtin__", "builtins", "xrange", "range"), + MovedAttribute("reload_module", "__builtin__", "importlib" if PY34 else "imp", "reload"), + MovedAttribute("reduce", "__builtin__", "functools"), + MovedAttribute("shlex_quote", "pipes", "shlex", "quote"), + MovedAttribute("StringIO", "StringIO", "io"), + MovedAttribute("UserDict", "UserDict", "collections", "IterableUserDict", "UserDict"), + MovedAttribute("UserList", "UserList", "collections"), + MovedAttribute("UserString", "UserString", "collections"), + MovedAttribute("xrange", "__builtin__", "builtins", "xrange", "range"), + MovedAttribute("zip", "itertools", "builtins", "izip", "zip"), + MovedAttribute("zip_longest", "itertools", "itertools", "izip_longest", "zip_longest"), + MovedModule("builtins", "__builtin__"), + MovedModule("configparser", "ConfigParser"), + MovedModule("collections_abc", "collections", "collections.abc" if sys.version_info >= (3, 3) else "collections"), + MovedModule("copyreg", "copy_reg"), + MovedModule("dbm_gnu", "gdbm", "dbm.gnu"), + MovedModule("dbm_ndbm", "dbm", "dbm.ndbm"), + MovedModule("_dummy_thread", "dummy_thread", "_dummy_thread" if sys.version_info < (3, 9) else "_thread"), + MovedModule("http_cookiejar", "cookielib", "http.cookiejar"), + MovedModule("http_cookies", "Cookie", "http.cookies"), + MovedModule("html_entities", "htmlentitydefs", "html.entities"), + MovedModule("html_parser", "HTMLParser", "html.parser"), + MovedModule("http_client", "httplib", "http.client"), + MovedModule("email_mime_base", "email.MIMEBase", "email.mime.base"), + MovedModule("email_mime_image", "email.MIMEImage", "email.mime.image"), + MovedModule("email_mime_multipart", "email.MIMEMultipart", "email.mime.multipart"), + MovedModule("email_mime_nonmultipart", "email.MIMENonMultipart", "email.mime.nonmultipart"), + MovedModule("email_mime_text", "email.MIMEText", "email.mime.text"), + MovedModule("BaseHTTPServer", "BaseHTTPServer", "http.server"), + MovedModule("CGIHTTPServer", "CGIHTTPServer", "http.server"), + MovedModule("SimpleHTTPServer", "SimpleHTTPServer", "http.server"), + MovedModule("cPickle", "cPickle", "pickle"), + MovedModule("queue", "Queue"), + MovedModule("reprlib", "repr"), + MovedModule("socketserver", "SocketServer"), + MovedModule("_thread", "thread", "_thread"), + MovedModule("tkinter", "Tkinter"), + MovedModule("tkinter_dialog", "Dialog", "tkinter.dialog"), + MovedModule("tkinter_filedialog", "FileDialog", "tkinter.filedialog"), + MovedModule("tkinter_scrolledtext", "ScrolledText", "tkinter.scrolledtext"), + MovedModule("tkinter_simpledialog", "SimpleDialog", "tkinter.simpledialog"), + MovedModule("tkinter_tix", "Tix", "tkinter.tix"), + MovedModule("tkinter_ttk", "ttk", "tkinter.ttk"), + MovedModule("tkinter_constants", "Tkconstants", "tkinter.constants"), + MovedModule("tkinter_dnd", "Tkdnd", "tkinter.dnd"), + MovedModule("tkinter_colorchooser", "tkColorChooser", + "tkinter.colorchooser"), + MovedModule("tkinter_commondialog", "tkCommonDialog", + "tkinter.commondialog"), + MovedModule("tkinter_tkfiledialog", "tkFileDialog", "tkinter.filedialog"), + MovedModule("tkinter_font", "tkFont", "tkinter.font"), + MovedModule("tkinter_messagebox", "tkMessageBox", "tkinter.messagebox"), + MovedModule("tkinter_tksimpledialog", "tkSimpleDialog", + "tkinter.simpledialog"), + MovedModule("urllib_parse", __name__ + ".moves.urllib_parse", "urllib.parse"), + MovedModule("urllib_error", __name__ + ".moves.urllib_error", "urllib.error"), + MovedModule("urllib", __name__ + ".moves.urllib", __name__ + ".moves.urllib"), + MovedModule("urllib_robotparser", "robotparser", "urllib.robotparser"), + MovedModule("xmlrpc_client", "xmlrpclib", "xmlrpc.client"), + MovedModule("xmlrpc_server", "SimpleXMLRPCServer", "xmlrpc.server"), +] +# Add windows specific modules. +if sys.platform == "win32": + _moved_attributes += [ + MovedModule("winreg", "_winreg"), + ] + +for attr in _moved_attributes: + setattr(_MovedItems, attr.name, attr) + if isinstance(attr, MovedModule): + _importer._add_module(attr, "moves." + attr.name) +del attr + +_MovedItems._moved_attributes = _moved_attributes + +moves = _MovedItems(__name__ + ".moves") +_importer._add_module(moves, "moves") + + +class Module_six_moves_urllib_parse(_LazyModule): + + """Lazy loading of moved objects in six.moves.urllib_parse""" + + +_urllib_parse_moved_attributes = [ + MovedAttribute("ParseResult", "urlparse", "urllib.parse"), + MovedAttribute("SplitResult", "urlparse", "urllib.parse"), + MovedAttribute("parse_qs", "urlparse", "urllib.parse"), + MovedAttribute("parse_qsl", "urlparse", "urllib.parse"), + MovedAttribute("urldefrag", "urlparse", "urllib.parse"), + MovedAttribute("urljoin", "urlparse", "urllib.parse"), + MovedAttribute("urlparse", "urlparse", "urllib.parse"), + MovedAttribute("urlsplit", "urlparse", "urllib.parse"), + MovedAttribute("urlunparse", "urlparse", "urllib.parse"), + MovedAttribute("urlunsplit", "urlparse", "urllib.parse"), + MovedAttribute("quote", "urllib", "urllib.parse"), + MovedAttribute("quote_plus", "urllib", "urllib.parse"), + MovedAttribute("unquote", "urllib", "urllib.parse"), + MovedAttribute("unquote_plus", "urllib", "urllib.parse"), + MovedAttribute("unquote_to_bytes", "urllib", "urllib.parse", "unquote", "unquote_to_bytes"), + MovedAttribute("urlencode", "urllib", "urllib.parse"), + MovedAttribute("splitquery", "urllib", "urllib.parse"), + MovedAttribute("splittag", "urllib", "urllib.parse"), + MovedAttribute("splituser", "urllib", "urllib.parse"), + MovedAttribute("splitvalue", "urllib", "urllib.parse"), + MovedAttribute("uses_fragment", "urlparse", "urllib.parse"), + MovedAttribute("uses_netloc", "urlparse", "urllib.parse"), + MovedAttribute("uses_params", "urlparse", "urllib.parse"), + MovedAttribute("uses_query", "urlparse", "urllib.parse"), + MovedAttribute("uses_relative", "urlparse", "urllib.parse"), +] +for attr in _urllib_parse_moved_attributes: + setattr(Module_six_moves_urllib_parse, attr.name, attr) +del attr + +Module_six_moves_urllib_parse._moved_attributes = _urllib_parse_moved_attributes + +_importer._add_module(Module_six_moves_urllib_parse(__name__ + ".moves.urllib_parse"), + "moves.urllib_parse", "moves.urllib.parse") + + +class Module_six_moves_urllib_error(_LazyModule): + + """Lazy loading of moved objects in six.moves.urllib_error""" + + +_urllib_error_moved_attributes = [ + MovedAttribute("URLError", "urllib2", "urllib.error"), + MovedAttribute("HTTPError", "urllib2", "urllib.error"), + MovedAttribute("ContentTooShortError", "urllib", "urllib.error"), +] +for attr in _urllib_error_moved_attributes: + setattr(Module_six_moves_urllib_error, attr.name, attr) +del attr + +Module_six_moves_urllib_error._moved_attributes = _urllib_error_moved_attributes + +_importer._add_module(Module_six_moves_urllib_error(__name__ + ".moves.urllib.error"), + "moves.urllib_error", "moves.urllib.error") + + +class Module_six_moves_urllib_request(_LazyModule): + + """Lazy loading of moved objects in six.moves.urllib_request""" + + +_urllib_request_moved_attributes = [ + MovedAttribute("urlopen", "urllib2", "urllib.request"), + MovedAttribute("install_opener", "urllib2", "urllib.request"), + MovedAttribute("build_opener", "urllib2", "urllib.request"), + MovedAttribute("pathname2url", "urllib", "urllib.request"), + MovedAttribute("url2pathname", "urllib", "urllib.request"), + MovedAttribute("getproxies", "urllib", "urllib.request"), + MovedAttribute("Request", "urllib2", "urllib.request"), + MovedAttribute("OpenerDirector", "urllib2", "urllib.request"), + MovedAttribute("HTTPDefaultErrorHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPRedirectHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPCookieProcessor", "urllib2", "urllib.request"), + MovedAttribute("ProxyHandler", "urllib2", "urllib.request"), + MovedAttribute("BaseHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPPasswordMgr", "urllib2", "urllib.request"), + MovedAttribute("HTTPPasswordMgrWithDefaultRealm", "urllib2", "urllib.request"), + MovedAttribute("AbstractBasicAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPBasicAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("ProxyBasicAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("AbstractDigestAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPDigestAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("ProxyDigestAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPSHandler", "urllib2", "urllib.request"), + MovedAttribute("FileHandler", "urllib2", "urllib.request"), + MovedAttribute("FTPHandler", "urllib2", "urllib.request"), + MovedAttribute("CacheFTPHandler", "urllib2", "urllib.request"), + MovedAttribute("UnknownHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPErrorProcessor", "urllib2", "urllib.request"), + MovedAttribute("urlretrieve", "urllib", "urllib.request"), + MovedAttribute("urlcleanup", "urllib", "urllib.request"), + MovedAttribute("proxy_bypass", "urllib", "urllib.request"), + MovedAttribute("parse_http_list", "urllib2", "urllib.request"), + MovedAttribute("parse_keqv_list", "urllib2", "urllib.request"), +] +if sys.version_info[:2] < (3, 14): + _urllib_request_moved_attributes.extend( + [ + MovedAttribute("URLopener", "urllib", "urllib.request"), + MovedAttribute("FancyURLopener", "urllib", "urllib.request"), + ] + ) +for attr in _urllib_request_moved_attributes: + setattr(Module_six_moves_urllib_request, attr.name, attr) +del attr + +Module_six_moves_urllib_request._moved_attributes = _urllib_request_moved_attributes + +_importer._add_module(Module_six_moves_urllib_request(__name__ + ".moves.urllib.request"), + "moves.urllib_request", "moves.urllib.request") + + +class Module_six_moves_urllib_response(_LazyModule): + + """Lazy loading of moved objects in six.moves.urllib_response""" + + +_urllib_response_moved_attributes = [ + MovedAttribute("addbase", "urllib", "urllib.response"), + MovedAttribute("addclosehook", "urllib", "urllib.response"), + MovedAttribute("addinfo", "urllib", "urllib.response"), + MovedAttribute("addinfourl", "urllib", "urllib.response"), +] +for attr in _urllib_response_moved_attributes: + setattr(Module_six_moves_urllib_response, attr.name, attr) +del attr + +Module_six_moves_urllib_response._moved_attributes = _urllib_response_moved_attributes + +_importer._add_module(Module_six_moves_urllib_response(__name__ + ".moves.urllib.response"), + "moves.urllib_response", "moves.urllib.response") + + +class Module_six_moves_urllib_robotparser(_LazyModule): + + """Lazy loading of moved objects in six.moves.urllib_robotparser""" + + +_urllib_robotparser_moved_attributes = [ + MovedAttribute("RobotFileParser", "robotparser", "urllib.robotparser"), +] +for attr in _urllib_robotparser_moved_attributes: + setattr(Module_six_moves_urllib_robotparser, attr.name, attr) +del attr + +Module_six_moves_urllib_robotparser._moved_attributes = _urllib_robotparser_moved_attributes + +_importer._add_module(Module_six_moves_urllib_robotparser(__name__ + ".moves.urllib.robotparser"), + "moves.urllib_robotparser", "moves.urllib.robotparser") + + +class Module_six_moves_urllib(types.ModuleType): + + """Create a six.moves.urllib namespace that resembles the Python 3 namespace""" + __path__ = [] # mark as package + parse = _importer._get_module("moves.urllib_parse") + error = _importer._get_module("moves.urllib_error") + request = _importer._get_module("moves.urllib_request") + response = _importer._get_module("moves.urllib_response") + robotparser = _importer._get_module("moves.urllib_robotparser") + + def __dir__(self): + return ['parse', 'error', 'request', 'response', 'robotparser'] + +_importer._add_module(Module_six_moves_urllib(__name__ + ".moves.urllib"), + "moves.urllib") + + +def add_move(move): + """Add an item to six.moves.""" + setattr(_MovedItems, move.name, move) + + +def remove_move(name): + """Remove item from six.moves.""" + try: + delattr(_MovedItems, name) + except AttributeError: + try: + del moves.__dict__[name] + except KeyError: + raise AttributeError("no such move, %r" % (name,)) + + +if PY3: + _meth_func = "__func__" + _meth_self = "__self__" + + _func_closure = "__closure__" + _func_code = "__code__" + _func_defaults = "__defaults__" + _func_globals = "__globals__" +else: + _meth_func = "im_func" + _meth_self = "im_self" + + _func_closure = "func_closure" + _func_code = "func_code" + _func_defaults = "func_defaults" + _func_globals = "func_globals" + + +try: + advance_iterator = next +except NameError: + def advance_iterator(it): + return it.next() +next = advance_iterator + + +try: + callable = callable +except NameError: + def callable(obj): + return any("__call__" in klass.__dict__ for klass in type(obj).__mro__) + + +if PY3: + def get_unbound_function(unbound): + return unbound + + create_bound_method = types.MethodType + + def create_unbound_method(func, cls): + return func + + Iterator = object +else: + def get_unbound_function(unbound): + return unbound.im_func + + def create_bound_method(func, obj): + return types.MethodType(func, obj, obj.__class__) + + def create_unbound_method(func, cls): + return types.MethodType(func, None, cls) + + class Iterator(object): + + def next(self): + return type(self).__next__(self) + + callable = callable +_add_doc(get_unbound_function, + """Get the function out of a possibly unbound function""") + + +get_method_function = operator.attrgetter(_meth_func) +get_method_self = operator.attrgetter(_meth_self) +get_function_closure = operator.attrgetter(_func_closure) +get_function_code = operator.attrgetter(_func_code) +get_function_defaults = operator.attrgetter(_func_defaults) +get_function_globals = operator.attrgetter(_func_globals) + + +if PY3: + def iterkeys(d, **kw): + return iter(d.keys(**kw)) + + def itervalues(d, **kw): + return iter(d.values(**kw)) + + def iteritems(d, **kw): + return iter(d.items(**kw)) + + def iterlists(d, **kw): + return iter(d.lists(**kw)) + + viewkeys = operator.methodcaller("keys") + + viewvalues = operator.methodcaller("values") + + viewitems = operator.methodcaller("items") +else: + def iterkeys(d, **kw): + return d.iterkeys(**kw) + + def itervalues(d, **kw): + return d.itervalues(**kw) + + def iteritems(d, **kw): + return d.iteritems(**kw) + + def iterlists(d, **kw): + return d.iterlists(**kw) + + viewkeys = operator.methodcaller("viewkeys") + + viewvalues = operator.methodcaller("viewvalues") + + viewitems = operator.methodcaller("viewitems") + +_add_doc(iterkeys, "Return an iterator over the keys of a dictionary.") +_add_doc(itervalues, "Return an iterator over the values of a dictionary.") +_add_doc(iteritems, + "Return an iterator over the (key, value) pairs of a dictionary.") +_add_doc(iterlists, + "Return an iterator over the (key, [values]) pairs of a dictionary.") + + +if PY3: + def b(s): + return s.encode("latin-1") + + def u(s): + return s + unichr = chr + import struct + int2byte = struct.Struct(">B").pack + del struct + byte2int = operator.itemgetter(0) + indexbytes = operator.getitem + iterbytes = iter + import io + StringIO = io.StringIO + BytesIO = io.BytesIO + del io + _assertCountEqual = "assertCountEqual" + if sys.version_info[1] <= 1: + _assertRaisesRegex = "assertRaisesRegexp" + _assertRegex = "assertRegexpMatches" + _assertNotRegex = "assertNotRegexpMatches" + else: + _assertRaisesRegex = "assertRaisesRegex" + _assertRegex = "assertRegex" + _assertNotRegex = "assertNotRegex" +else: + def b(s): + return s + # Workaround for standalone backslash + + def u(s): + return unicode(s.replace(r'\\', r'\\\\'), "unicode_escape") + unichr = unichr + int2byte = chr + + def byte2int(bs): + return ord(bs[0]) + + def indexbytes(buf, i): + return ord(buf[i]) + iterbytes = functools.partial(itertools.imap, ord) + import StringIO + StringIO = BytesIO = StringIO.StringIO + _assertCountEqual = "assertItemsEqual" + _assertRaisesRegex = "assertRaisesRegexp" + _assertRegex = "assertRegexpMatches" + _assertNotRegex = "assertNotRegexpMatches" +_add_doc(b, """Byte literal""") +_add_doc(u, """Text literal""") + + +def assertCountEqual(self, *args, **kwargs): + return getattr(self, _assertCountEqual)(*args, **kwargs) + + +def assertRaisesRegex(self, *args, **kwargs): + return getattr(self, _assertRaisesRegex)(*args, **kwargs) + + +def assertRegex(self, *args, **kwargs): + return getattr(self, _assertRegex)(*args, **kwargs) + + +def assertNotRegex(self, *args, **kwargs): + return getattr(self, _assertNotRegex)(*args, **kwargs) + + +if PY3: + exec_ = getattr(moves.builtins, "exec") + + def reraise(tp, value, tb=None): + try: + if value is None: + value = tp() + if value.__traceback__ is not tb: + raise value.with_traceback(tb) + raise value + finally: + value = None + tb = None + +else: + def exec_(_code_, _globs_=None, _locs_=None): + """Execute code in a namespace.""" + if _globs_ is None: + frame = sys._getframe(1) + _globs_ = frame.f_globals + if _locs_ is None: + _locs_ = frame.f_locals + del frame + elif _locs_ is None: + _locs_ = _globs_ + exec("""exec _code_ in _globs_, _locs_""") + + exec_("""def reraise(tp, value, tb=None): + try: + raise tp, value, tb + finally: + tb = None +""") + + +if sys.version_info[:2] > (3,): + exec_("""def raise_from(value, from_value): + try: + raise value from from_value + finally: + value = None +""") +else: + def raise_from(value, from_value): + raise value + + +print_ = getattr(moves.builtins, "print", None) +if print_ is None: + def print_(*args, **kwargs): + """The new-style print function for Python 2.4 and 2.5.""" + fp = kwargs.pop("file", sys.stdout) + if fp is None: + return + + def write(data): + if not isinstance(data, basestring): + data = str(data) + # If the file has an encoding, encode unicode with it. + if (isinstance(fp, file) and + isinstance(data, unicode) and + fp.encoding is not None): + errors = getattr(fp, "errors", None) + if errors is None: + errors = "strict" + data = data.encode(fp.encoding, errors) + fp.write(data) + want_unicode = False + sep = kwargs.pop("sep", None) + if sep is not None: + if isinstance(sep, unicode): + want_unicode = True + elif not isinstance(sep, str): + raise TypeError("sep must be None or a string") + end = kwargs.pop("end", None) + if end is not None: + if isinstance(end, unicode): + want_unicode = True + elif not isinstance(end, str): + raise TypeError("end must be None or a string") + if kwargs: + raise TypeError("invalid keyword arguments to print()") + if not want_unicode: + for arg in args: + if isinstance(arg, unicode): + want_unicode = True + break + if want_unicode: + newline = unicode("\n") + space = unicode(" ") + else: + newline = "\n" + space = " " + if sep is None: + sep = space + if end is None: + end = newline + for i, arg in enumerate(args): + if i: + write(sep) + write(arg) + write(end) +if sys.version_info[:2] < (3, 3): + _print = print_ + + def print_(*args, **kwargs): + fp = kwargs.get("file", sys.stdout) + flush = kwargs.pop("flush", False) + _print(*args, **kwargs) + if flush and fp is not None: + fp.flush() + +_add_doc(reraise, """Reraise an exception.""") + +if sys.version_info[0:2] < (3, 4): + # This does exactly the same what the :func:`py3:functools.update_wrapper` + # function does on Python versions after 3.2. It sets the ``__wrapped__`` + # attribute on ``wrapper`` object and it doesn't raise an error if any of + # the attributes mentioned in ``assigned`` and ``updated`` are missing on + # ``wrapped`` object. + def _update_wrapper(wrapper, wrapped, + assigned=functools.WRAPPER_ASSIGNMENTS, + updated=functools.WRAPPER_UPDATES): + for attr in assigned: + try: + value = getattr(wrapped, attr) + except AttributeError: + continue + else: + setattr(wrapper, attr, value) + for attr in updated: + getattr(wrapper, attr).update(getattr(wrapped, attr, {})) + wrapper.__wrapped__ = wrapped + return wrapper + _update_wrapper.__doc__ = functools.update_wrapper.__doc__ + + def wraps(wrapped, assigned=functools.WRAPPER_ASSIGNMENTS, + updated=functools.WRAPPER_UPDATES): + return functools.partial(_update_wrapper, wrapped=wrapped, + assigned=assigned, updated=updated) + wraps.__doc__ = functools.wraps.__doc__ + +else: + wraps = functools.wraps + + +def with_metaclass(meta, *bases): + """Create a base class with a metaclass.""" + # This requires a bit of explanation: the basic idea is to make a dummy + # metaclass for one level of class instantiation that replaces itself with + # the actual metaclass. + class metaclass(type): + + def __new__(cls, name, this_bases, d): + if sys.version_info[:2] >= (3, 7): + # This version introduced PEP 560 that requires a bit + # of extra care (we mimic what is done by __build_class__). + resolved_bases = types.resolve_bases(bases) + if resolved_bases is not bases: + d['__orig_bases__'] = bases + else: + resolved_bases = bases + return meta(name, resolved_bases, d) + + @classmethod + def __prepare__(cls, name, this_bases): + return meta.__prepare__(name, bases) + return type.__new__(metaclass, 'temporary_class', (), {}) + + +def add_metaclass(metaclass): + """Class decorator for creating a class with a metaclass.""" + def wrapper(cls): + orig_vars = cls.__dict__.copy() + slots = orig_vars.get('__slots__') + if slots is not None: + if isinstance(slots, str): + slots = [slots] + for slots_var in slots: + orig_vars.pop(slots_var) + orig_vars.pop('__dict__', None) + orig_vars.pop('__weakref__', None) + if hasattr(cls, '__qualname__'): + orig_vars['__qualname__'] = cls.__qualname__ + return metaclass(cls.__name__, cls.__bases__, orig_vars) + return wrapper + + +def ensure_binary(s, encoding='utf-8', errors='strict'): + """Coerce **s** to six.binary_type. + + For Python 2: + - `unicode` -> encoded to `str` + - `str` -> `str` + + For Python 3: + - `str` -> encoded to `bytes` + - `bytes` -> `bytes` + """ + if isinstance(s, binary_type): + return s + if isinstance(s, text_type): + return s.encode(encoding, errors) + raise TypeError("not expecting type '%s'" % type(s)) + + +def ensure_str(s, encoding='utf-8', errors='strict'): + """Coerce *s* to `str`. + + For Python 2: + - `unicode` -> encoded to `str` + - `str` -> `str` + + For Python 3: + - `str` -> `str` + - `bytes` -> decoded to `str` + """ + # Optimization: Fast return for the common case. + if type(s) is str: + return s + if PY2 and isinstance(s, text_type): + return s.encode(encoding, errors) + elif PY3 and isinstance(s, binary_type): + return s.decode(encoding, errors) + elif not isinstance(s, (text_type, binary_type)): + raise TypeError("not expecting type '%s'" % type(s)) + return s + + +def ensure_text(s, encoding='utf-8', errors='strict'): + """Coerce *s* to six.text_type. + + For Python 2: + - `unicode` -> `unicode` + - `str` -> `unicode` + + For Python 3: + - `str` -> `str` + - `bytes` -> decoded to `str` + """ + if isinstance(s, binary_type): + return s.decode(encoding, errors) + elif isinstance(s, text_type): + return s + else: + raise TypeError("not expecting type '%s'" % type(s)) + + +def python_2_unicode_compatible(klass): + """ + A class decorator that defines __unicode__ and __str__ methods under Python 2. + Under Python 3 it does nothing. + + To support Python 2 and 3 with a single code base, define a __str__ method + returning text and apply this decorator to the class. + """ + if PY2: + if '__str__' not in klass.__dict__: + raise ValueError("@python_2_unicode_compatible cannot be applied " + "to %s because it doesn't define __str__()." % + klass.__name__) + klass.__unicode__ = klass.__str__ + klass.__str__ = lambda self: self.__unicode__().encode('utf-8') + return klass + + +# Complete the moves implementation. +# This code is at the end of this module to speed up module loading. +# Turn this module into a package. +__path__ = [] # required for PEP 302 and PEP 451 +__package__ = __name__ # see PEP 366 @ReservedAssignment +if globals().get("__spec__") is not None: + __spec__.submodule_search_locations = [] # PEP 451 @UndefinedVariable +# Remove other six meta path importers, since they cause problems. This can +# happen if six is removed from sys.modules and then reloaded. (Setuptools does +# this for some reason.) +if sys.meta_path: + for i, importer in enumerate(sys.meta_path): + # Here's some real nastiness: Another "instance" of the six module might + # be floating around. Therefore, we can't use isinstance() to check for + # the six meta path importer, since the other six instance will have + # inserted an importer with different class. + if (type(importer).__name__ == "_SixMetaPathImporter" and + importer.name == __name__): + del sys.meta_path[i] + break + del i, importer +# Finally, add the importer to the meta path import hook. +sys.meta_path.append(_importer) diff --git a/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/typing_extensions.py b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/typing_extensions.py new file mode 100644 index 0000000000000000000000000000000000000000..77f33e1614fd7d46ccd66b394d6c5d663bf8a8c6 --- /dev/null +++ b/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/typing_extensions.py @@ -0,0 +1,4317 @@ +import abc +import builtins +import collections +import collections.abc +import contextlib +import enum +import functools +import inspect +import io +import keyword +import operator +import sys +import types as _types +import typing +import warnings + +# Breakpoint: https://github.com/python/cpython/pull/119891 +if sys.version_info >= (3, 14): + import annotationlib + +__all__ = [ + # Super-special typing primitives. + 'Any', + 'ClassVar', + 'Concatenate', + 'Final', + 'LiteralString', + 'ParamSpec', + 'ParamSpecArgs', + 'ParamSpecKwargs', + 'Self', + 'Type', + 'TypeVar', + 'TypeVarTuple', + 'Unpack', + + # ABCs (from collections.abc). + 'Awaitable', + 'AsyncIterator', + 'AsyncIterable', + 'Coroutine', + 'AsyncGenerator', + 'AsyncContextManager', + 'Buffer', + 'ChainMap', + + # Concrete collection types. + 'ContextManager', + 'Counter', + 'Deque', + 'DefaultDict', + 'NamedTuple', + 'OrderedDict', + 'TypedDict', + + # Structural checks, a.k.a. protocols. + 'SupportsAbs', + 'SupportsBytes', + 'SupportsComplex', + 'SupportsFloat', + 'SupportsIndex', + 'SupportsInt', + 'SupportsRound', + 'Reader', + 'Writer', + + # One-off things. + 'Annotated', + 'assert_never', + 'assert_type', + 'clear_overloads', + 'dataclass_transform', + 'deprecated', + 'disjoint_base', + 'Doc', + 'evaluate_forward_ref', + 'get_overloads', + 'final', + 'Format', + 'get_annotations', + 'get_args', + 'get_origin', + 'get_original_bases', + 'get_protocol_members', + 'get_type_hints', + 'IntVar', + 'is_protocol', + 'is_typeddict', + 'Literal', + 'NewType', + 'overload', + 'override', + 'Protocol', + 'Sentinel', + 'reveal_type', + 'runtime', + 'runtime_checkable', + 'Text', + 'TypeAlias', + 'TypeAliasType', + 'TypeForm', + 'TypeGuard', + 'TypeIs', + 'TYPE_CHECKING', + 'type_repr', + 'Never', + 'NoReturn', + 'ReadOnly', + 'Required', + 'NotRequired', + 'NoDefault', + 'NoExtraItems', + + # Pure aliases, have always been in typing + 'AbstractSet', + 'AnyStr', + 'BinaryIO', + 'Callable', + 'Collection', + 'Container', + 'Dict', + 'ForwardRef', + 'FrozenSet', + 'Generator', + 'Generic', + 'Hashable', + 'IO', + 'ItemsView', + 'Iterable', + 'Iterator', + 'KeysView', + 'List', + 'Mapping', + 'MappingView', + 'Match', + 'MutableMapping', + 'MutableSequence', + 'MutableSet', + 'Optional', + 'Pattern', + 'Reversible', + 'Sequence', + 'Set', + 'Sized', + 'TextIO', + 'Tuple', + 'Union', + 'ValuesView', + 'cast', + 'no_type_check', + 'no_type_check_decorator', +] + +# for backward compatibility +PEP_560 = True +GenericMeta = type +# Breakpoint: https://github.com/python/cpython/pull/116129 +_PEP_696_IMPLEMENTED = sys.version_info >= (3, 13, 0, "beta") + +# Added with bpo-45166 to 3.10.1+ and some 3.9 versions +_FORWARD_REF_HAS_CLASS = "__forward_is_class__" in typing.ForwardRef.__slots__ + +# The functions below are modified copies of typing internal helpers. +# They are needed by _ProtocolMeta and they provide support for PEP 646. + + +class _Sentinel: + def __repr__(self): + return "" + + +_marker = _Sentinel() + + +# Breakpoint: https://github.com/python/cpython/pull/27342 +if sys.version_info >= (3, 10): + def _should_collect_from_parameters(t): + return isinstance( + t, (typing._GenericAlias, _types.GenericAlias, _types.UnionType) + ) +else: + def _should_collect_from_parameters(t): + return isinstance(t, (typing._GenericAlias, _types.GenericAlias)) + + +NoReturn = typing.NoReturn + +# Some unconstrained type variables. These are used by the container types. +# (These are not for export.) +T = typing.TypeVar('T') # Any type. +KT = typing.TypeVar('KT') # Key type. +VT = typing.TypeVar('VT') # Value type. +T_co = typing.TypeVar('T_co', covariant=True) # Any type covariant containers. +T_contra = typing.TypeVar('T_contra', contravariant=True) # Ditto contravariant. + + +# Breakpoint: https://github.com/python/cpython/pull/31841 +if sys.version_info >= (3, 11): + from typing import Any +else: + + class _AnyMeta(type): + def __instancecheck__(self, obj): + if self is Any: + raise TypeError("typing_extensions.Any cannot be used with isinstance()") + return super().__instancecheck__(obj) + + def __repr__(self): + if self is Any: + return "typing_extensions.Any" + return super().__repr__() + + class Any(metaclass=_AnyMeta): + """Special type indicating an unconstrained type. + - Any is compatible with every type. + - Any assumed to have all methods. + - All values assumed to be instances of Any. + Note that all the above statements are true from the point of view of + static type checkers. At runtime, Any should not be used with instance + checks. + """ + def __new__(cls, *args, **kwargs): + if cls is Any: + raise TypeError("Any cannot be instantiated") + return super().__new__(cls, *args, **kwargs) + + +ClassVar = typing.ClassVar + +# Vendored from cpython typing._SpecialFrom +# Having a separate class means that instances will not be rejected by +# typing._type_check. +class _SpecialForm(typing._Final, _root=True): + __slots__ = ('_name', '__doc__', '_getitem') + + def __init__(self, getitem): + self._getitem = getitem + self._name = getitem.__name__ + self.__doc__ = getitem.__doc__ + + def __getattr__(self, item): + if item in {'__name__', '__qualname__'}: + return self._name + + raise AttributeError(item) + + def __mro_entries__(self, bases): + raise TypeError(f"Cannot subclass {self!r}") + + def __repr__(self): + return f'typing_extensions.{self._name}' + + def __reduce__(self): + return self._name + + def __call__(self, *args, **kwds): + raise TypeError(f"Cannot instantiate {self!r}") + + def __or__(self, other): + return typing.Union[self, other] + + def __ror__(self, other): + return typing.Union[other, self] + + def __instancecheck__(self, obj): + raise TypeError(f"{self} cannot be used with isinstance()") + + def __subclasscheck__(self, cls): + raise TypeError(f"{self} cannot be used with issubclass()") + + @typing._tp_cache + def __getitem__(self, parameters): + return self._getitem(self, parameters) + + +# Note that inheriting from this class means that the object will be +# rejected by typing._type_check, so do not use it if the special form +# is arguably valid as a type by itself. +class _ExtensionsSpecialForm(typing._SpecialForm, _root=True): + def __repr__(self): + return 'typing_extensions.' + self._name + + +Final = typing.Final + +# Breakpoint: https://github.com/python/cpython/pull/30530 +if sys.version_info >= (3, 11): + final = typing.final +else: + # @final exists in 3.8+, but we backport it for all versions + # before 3.11 to keep support for the __final__ attribute. + # See https://bugs.python.org/issue46342 + def final(f): + """This decorator can be used to indicate to type checkers that + the decorated method cannot be overridden, and decorated class + cannot be subclassed. For example: + + class Base: + @final + def done(self) -> None: + ... + class Sub(Base): + def done(self) -> None: # Error reported by type checker + ... + @final + class Leaf: + ... + class Other(Leaf): # Error reported by type checker + ... + + There is no runtime checking of these properties. The decorator + sets the ``__final__`` attribute to ``True`` on the decorated object + to allow runtime introspection. + """ + try: + f.__final__ = True + except (AttributeError, TypeError): + # Skip the attribute silently if it is not writable. + # AttributeError happens if the object has __slots__ or a + # read-only property, TypeError if it's a builtin class. + pass + return f + + +if hasattr(typing, "disjoint_base"): # 3.15 + disjoint_base = typing.disjoint_base +else: + def disjoint_base(cls): + """This decorator marks a class as a disjoint base. + + Child classes of a disjoint base cannot inherit from other disjoint bases that are + not parent classes of the disjoint base. + + For example: + + @disjoint_base + class Disjoint1: pass + + @disjoint_base + class Disjoint2: pass + + class Disjoint3(Disjoint1, Disjoint2): pass # Type checker error + + Type checkers can use knowledge of disjoint bases to detect unreachable code + and determine when two types can overlap. + + See PEP 800.""" + cls.__disjoint_base__ = True + return cls + + +def IntVar(name): + return typing.TypeVar(name) + + +# A Literal bug was fixed in 3.11.0, 3.10.1 and 3.9.8 +# Breakpoint: https://github.com/python/cpython/pull/29334 +if sys.version_info >= (3, 10, 1): + Literal = typing.Literal +else: + def _flatten_literal_params(parameters): + """An internal helper for Literal creation: flatten Literals among parameters""" + params = [] + for p in parameters: + if isinstance(p, _LiteralGenericAlias): + params.extend(p.__args__) + else: + params.append(p) + return tuple(params) + + def _value_and_type_iter(params): + for p in params: + yield p, type(p) + + class _LiteralGenericAlias(typing._GenericAlias, _root=True): + def __eq__(self, other): + if not isinstance(other, _LiteralGenericAlias): + return NotImplemented + these_args_deduped = set(_value_and_type_iter(self.__args__)) + other_args_deduped = set(_value_and_type_iter(other.__args__)) + return these_args_deduped == other_args_deduped + + def __hash__(self): + return hash(frozenset(_value_and_type_iter(self.__args__))) + + class _LiteralForm(_ExtensionsSpecialForm, _root=True): + def __init__(self, doc: str): + self._name = 'Literal' + self._doc = self.__doc__ = doc + + def __getitem__(self, parameters): + if not isinstance(parameters, tuple): + parameters = (parameters,) + + parameters = _flatten_literal_params(parameters) + + val_type_pairs = list(_value_and_type_iter(parameters)) + try: + deduped_pairs = set(val_type_pairs) + except TypeError: + # unhashable parameters + pass + else: + # similar logic to typing._deduplicate on Python 3.9+ + if len(deduped_pairs) < len(val_type_pairs): + new_parameters = [] + for pair in val_type_pairs: + if pair in deduped_pairs: + new_parameters.append(pair[0]) + deduped_pairs.remove(pair) + assert not deduped_pairs, deduped_pairs + parameters = tuple(new_parameters) + + return _LiteralGenericAlias(self, parameters) + + Literal = _LiteralForm(doc="""\ + A type that can be used to indicate to type checkers + that the corresponding value has a value literally equivalent + to the provided parameter. For example: + + var: Literal[4] = 4 + + The type checker understands that 'var' is literally equal to + the value 4 and no other value. + + Literal[...] cannot be subclassed. There is no runtime + checking verifying that the parameter is actually a value + instead of a type.""") + + +_overload_dummy = typing._overload_dummy + + +if hasattr(typing, "get_overloads"): # 3.11+ + overload = typing.overload + get_overloads = typing.get_overloads + clear_overloads = typing.clear_overloads +else: + # {module: {qualname: {firstlineno: func}}} + _overload_registry = collections.defaultdict( + functools.partial(collections.defaultdict, dict) + ) + + def overload(func): + """Decorator for overloaded functions/methods. + + In a stub file, place two or more stub definitions for the same + function in a row, each decorated with @overload. For example: + + @overload + def utf8(value: None) -> None: ... + @overload + def utf8(value: bytes) -> bytes: ... + @overload + def utf8(value: str) -> bytes: ... + + In a non-stub file (i.e. a regular .py file), do the same but + follow it with an implementation. The implementation should *not* + be decorated with @overload. For example: + + @overload + def utf8(value: None) -> None: ... + @overload + def utf8(value: bytes) -> bytes: ... + @overload + def utf8(value: str) -> bytes: ... + def utf8(value): + # implementation goes here + + The overloads for a function can be retrieved at runtime using the + get_overloads() function. + """ + # classmethod and staticmethod + f = getattr(func, "__func__", func) + try: + _overload_registry[f.__module__][f.__qualname__][ + f.__code__.co_firstlineno + ] = func + except AttributeError: + # Not a normal function; ignore. + pass + return _overload_dummy + + def get_overloads(func): + """Return all defined overloads for *func* as a sequence.""" + # classmethod and staticmethod + f = getattr(func, "__func__", func) + if f.__module__ not in _overload_registry: + return [] + mod_dict = _overload_registry[f.__module__] + if f.__qualname__ not in mod_dict: + return [] + return list(mod_dict[f.__qualname__].values()) + + def clear_overloads(): + """Clear all overloads in the registry.""" + _overload_registry.clear() + + +# This is not a real generic class. Don't use outside annotations. +Type = typing.Type + +# Various ABCs mimicking those in collections.abc. +# A few are simply re-exported for completeness. +Awaitable = typing.Awaitable +Coroutine = typing.Coroutine +AsyncIterable = typing.AsyncIterable +AsyncIterator = typing.AsyncIterator +Deque = typing.Deque +DefaultDict = typing.DefaultDict +OrderedDict = typing.OrderedDict +Counter = typing.Counter +ChainMap = typing.ChainMap +Text = typing.Text +TYPE_CHECKING = typing.TYPE_CHECKING + + +# Breakpoint: https://github.com/python/cpython/pull/118681 +if sys.version_info >= (3, 13, 0, "beta"): + from typing import AsyncContextManager, AsyncGenerator, ContextManager, Generator +else: + def _is_dunder(attr): + return attr.startswith('__') and attr.endswith('__') + + + class _SpecialGenericAlias(typing._SpecialGenericAlias, _root=True): + def __init__(self, origin, nparams, *, inst=True, name=None, defaults=()): + super().__init__(origin, nparams, inst=inst, name=name) + self._defaults = defaults + + def __setattr__(self, attr, val): + allowed_attrs = {'_name', '_inst', '_nparams', '_defaults'} + if _is_dunder(attr) or attr in allowed_attrs: + object.__setattr__(self, attr, val) + else: + setattr(self.__origin__, attr, val) + + @typing._tp_cache + def __getitem__(self, params): + if not isinstance(params, tuple): + params = (params,) + msg = "Parameters to generic types must be types." + params = tuple(typing._type_check(p, msg) for p in params) + if ( + self._defaults + and len(params) < self._nparams + and len(params) + len(self._defaults) >= self._nparams + ): + params = (*params, *self._defaults[len(params) - self._nparams:]) + actual_len = len(params) + + if actual_len != self._nparams: + if self._defaults: + expected = f"at least {self._nparams - len(self._defaults)}" + else: + expected = str(self._nparams) + if not self._nparams: + raise TypeError(f"{self} is not a generic class") + raise TypeError( + f"Too {'many' if actual_len > self._nparams else 'few'}" + f" arguments for {self};" + f" actual {actual_len}, expected {expected}" + ) + return self.copy_with(params) + + _NoneType = type(None) + Generator = _SpecialGenericAlias( + collections.abc.Generator, 3, defaults=(_NoneType, _NoneType) + ) + AsyncGenerator = _SpecialGenericAlias( + collections.abc.AsyncGenerator, 2, defaults=(_NoneType,) + ) + ContextManager = _SpecialGenericAlias( + contextlib.AbstractContextManager, + 2, + name="ContextManager", + defaults=(typing.Optional[bool],) + ) + AsyncContextManager = _SpecialGenericAlias( + contextlib.AbstractAsyncContextManager, + 2, + name="AsyncContextManager", + defaults=(typing.Optional[bool],) + ) + + +_PROTO_ALLOWLIST = { + 'collections.abc': [ + 'Callable', 'Awaitable', 'Iterable', 'Iterator', 'AsyncIterable', + 'Hashable', 'Sized', 'Container', 'Collection', 'Reversible', 'Buffer', + ], + 'contextlib': ['AbstractContextManager', 'AbstractAsyncContextManager'], + 'typing_extensions': ['Buffer'], +} + + +_EXCLUDED_ATTRS = frozenset(typing.EXCLUDED_ATTRIBUTES) | { + "__match_args__", "__protocol_attrs__", "__non_callable_proto_members__", + "__final__", +} + + +def _get_protocol_attrs(cls): + attrs = set() + for base in cls.__mro__[:-1]: # without object + if base.__name__ in {'Protocol', 'Generic'}: + continue + annotations = getattr(base, '__annotations__', {}) + for attr in (*base.__dict__, *annotations): + if (not attr.startswith('_abc_') and attr not in _EXCLUDED_ATTRS): + attrs.add(attr) + return attrs + + +def _caller(depth=1, default='__main__'): + try: + return sys._getframemodulename(depth + 1) or default + except AttributeError: # For platforms without _getframemodulename() + pass + try: + return sys._getframe(depth + 1).f_globals.get('__name__', default) + except (AttributeError, ValueError): # For platforms without _getframe() + pass + return None + + +# `__match_args__` attribute was removed from protocol members in 3.13, +# we want to backport this change to older Python versions. +# Breakpoint: https://github.com/python/cpython/pull/110683 +if sys.version_info >= (3, 13): + Protocol = typing.Protocol +else: + def _allow_reckless_class_checks(depth=2): + """Allow instance and class checks for special stdlib modules. + The abc and functools modules indiscriminately call isinstance() and + issubclass() on the whole MRO of a user class, which may contain protocols. + """ + return _caller(depth) in {'abc', 'functools', None} + + def _no_init(self, *args, **kwargs): + if type(self)._is_protocol: + raise TypeError('Protocols cannot be instantiated') + + def _type_check_issubclass_arg_1(arg): + """Raise TypeError if `arg` is not an instance of `type` + in `issubclass(arg, )`. + + In most cases, this is verified by type.__subclasscheck__. + Checking it again unnecessarily would slow down issubclass() checks, + so, we don't perform this check unless we absolutely have to. + + For various error paths, however, + we want to ensure that *this* error message is shown to the user + where relevant, rather than a typing.py-specific error message. + """ + if not isinstance(arg, type): + # Same error message as for issubclass(1, int). + raise TypeError('issubclass() arg 1 must be a class') + + # Inheriting from typing._ProtocolMeta isn't actually desirable, + # but is necessary to allow typing.Protocol and typing_extensions.Protocol + # to mix without getting TypeErrors about "metaclass conflict" + class _ProtocolMeta(type(typing.Protocol)): + # This metaclass is somewhat unfortunate, + # but is necessary for several reasons... + # + # NOTE: DO NOT call super() in any methods in this class + # That would call the methods on typing._ProtocolMeta on Python <=3.11 + # and those are slow + def __new__(mcls, name, bases, namespace, **kwargs): + if name == "Protocol" and len(bases) < 2: + pass + elif {Protocol, typing.Protocol} & set(bases): + for base in bases: + if not ( + base in {object, typing.Generic, Protocol, typing.Protocol} + or base.__name__ in _PROTO_ALLOWLIST.get(base.__module__, []) + or is_protocol(base) + ): + raise TypeError( + f"Protocols can only inherit from other protocols, " + f"got {base!r}" + ) + return abc.ABCMeta.__new__(mcls, name, bases, namespace, **kwargs) + + def __init__(cls, *args, **kwargs): + abc.ABCMeta.__init__(cls, *args, **kwargs) + if getattr(cls, "_is_protocol", False): + cls.__protocol_attrs__ = _get_protocol_attrs(cls) + + def __subclasscheck__(cls, other): + if cls is Protocol: + return type.__subclasscheck__(cls, other) + if ( + getattr(cls, '_is_protocol', False) + and not _allow_reckless_class_checks() + ): + if not getattr(cls, '_is_runtime_protocol', False): + _type_check_issubclass_arg_1(other) + raise TypeError( + "Instance and class checks can only be used with " + "@runtime_checkable protocols" + ) + if ( + # this attribute is set by @runtime_checkable: + cls.__non_callable_proto_members__ + and cls.__dict__.get("__subclasshook__") is _proto_hook + ): + _type_check_issubclass_arg_1(other) + non_method_attrs = sorted(cls.__non_callable_proto_members__) + raise TypeError( + "Protocols with non-method members don't support issubclass()." + f" Non-method members: {str(non_method_attrs)[1:-1]}." + ) + return abc.ABCMeta.__subclasscheck__(cls, other) + + def __instancecheck__(cls, instance): + # We need this method for situations where attributes are + # assigned in __init__. + if cls is Protocol: + return type.__instancecheck__(cls, instance) + if not getattr(cls, "_is_protocol", False): + # i.e., it's a concrete subclass of a protocol + return abc.ABCMeta.__instancecheck__(cls, instance) + + if ( + not getattr(cls, '_is_runtime_protocol', False) and + not _allow_reckless_class_checks() + ): + raise TypeError("Instance and class checks can only be used with" + " @runtime_checkable protocols") + + if abc.ABCMeta.__instancecheck__(cls, instance): + return True + + for attr in cls.__protocol_attrs__: + try: + val = inspect.getattr_static(instance, attr) + except AttributeError: + break + # this attribute is set by @runtime_checkable: + if val is None and attr not in cls.__non_callable_proto_members__: + break + else: + return True + + return False + + def __eq__(cls, other): + # Hack so that typing.Generic.__class_getitem__ + # treats typing_extensions.Protocol + # as equivalent to typing.Protocol + if abc.ABCMeta.__eq__(cls, other) is True: + return True + return cls is Protocol and other is typing.Protocol + + # This has to be defined, or the abc-module cache + # complains about classes with this metaclass being unhashable, + # if we define only __eq__! + def __hash__(cls) -> int: + return type.__hash__(cls) + + @classmethod + def _proto_hook(cls, other): + if not cls.__dict__.get('_is_protocol', False): + return NotImplemented + + for attr in cls.__protocol_attrs__: + for base in other.__mro__: + # Check if the members appears in the class dictionary... + if attr in base.__dict__: + if base.__dict__[attr] is None: + return NotImplemented + break + + # ...or in annotations, if it is a sub-protocol. + annotations = getattr(base, '__annotations__', {}) + if ( + isinstance(annotations, collections.abc.Mapping) + and attr in annotations + and is_protocol(other) + ): + break + else: + return NotImplemented + return True + + class Protocol(typing.Generic, metaclass=_ProtocolMeta): + __doc__ = typing.Protocol.__doc__ + __slots__ = () + _is_protocol = True + _is_runtime_protocol = False + + def __init_subclass__(cls, *args, **kwargs): + super().__init_subclass__(*args, **kwargs) + + # Determine if this is a protocol or a concrete subclass. + if not cls.__dict__.get('_is_protocol', False): + cls._is_protocol = any(b is Protocol for b in cls.__bases__) + + # Set (or override) the protocol subclass hook. + if '__subclasshook__' not in cls.__dict__: + cls.__subclasshook__ = _proto_hook + + # Prohibit instantiation for protocol classes + if cls._is_protocol and cls.__init__ is Protocol.__init__: + cls.__init__ = _no_init + + +# Breakpoint: https://github.com/python/cpython/pull/113401 +if sys.version_info >= (3, 13): + runtime_checkable = typing.runtime_checkable +else: + def runtime_checkable(cls): + """Mark a protocol class as a runtime protocol. + + Such protocol can be used with isinstance() and issubclass(). + Raise TypeError if applied to a non-protocol class. + This allows a simple-minded structural check very similar to + one trick ponies in collections.abc such as Iterable. + + For example:: + + @runtime_checkable + class Closable(Protocol): + def close(self): ... + + assert isinstance(open('/some/file'), Closable) + + Warning: this will check only the presence of the required methods, + not their type signatures! + """ + if not issubclass(cls, typing.Generic) or not getattr(cls, '_is_protocol', False): + raise TypeError(f'@runtime_checkable can be only applied to protocol classes,' + f' got {cls!r}') + cls._is_runtime_protocol = True + + # typing.Protocol classes on <=3.11 break if we execute this block, + # because typing.Protocol classes on <=3.11 don't have a + # `__protocol_attrs__` attribute, and this block relies on the + # `__protocol_attrs__` attribute. Meanwhile, typing.Protocol classes on 3.12.2+ + # break if we *don't* execute this block, because *they* assume that all + # protocol classes have a `__non_callable_proto_members__` attribute + # (which this block sets) + if isinstance(cls, _ProtocolMeta) or sys.version_info >= (3, 12, 2): + # PEP 544 prohibits using issubclass() + # with protocols that have non-method members. + # See gh-113320 for why we compute this attribute here, + # rather than in `_ProtocolMeta.__init__` + cls.__non_callable_proto_members__ = set() + for attr in cls.__protocol_attrs__: + try: + is_callable = callable(getattr(cls, attr, None)) + except Exception as e: + raise TypeError( + f"Failed to determine whether protocol member {attr!r} " + "is a method member" + ) from e + else: + if not is_callable: + cls.__non_callable_proto_members__.add(attr) + + return cls + + +# The "runtime" alias exists for backwards compatibility. +runtime = runtime_checkable + + +# Our version of runtime-checkable protocols is faster on Python <=3.11 +# Breakpoint: https://github.com/python/cpython/pull/112717 +if sys.version_info >= (3, 12): + SupportsInt = typing.SupportsInt + SupportsFloat = typing.SupportsFloat + SupportsComplex = typing.SupportsComplex + SupportsBytes = typing.SupportsBytes + SupportsIndex = typing.SupportsIndex + SupportsAbs = typing.SupportsAbs + SupportsRound = typing.SupportsRound +else: + @runtime_checkable + class SupportsInt(Protocol): + """An ABC with one abstract method __int__.""" + __slots__ = () + + @abc.abstractmethod + def __int__(self) -> int: + pass + + @runtime_checkable + class SupportsFloat(Protocol): + """An ABC with one abstract method __float__.""" + __slots__ = () + + @abc.abstractmethod + def __float__(self) -> float: + pass + + @runtime_checkable + class SupportsComplex(Protocol): + """An ABC with one abstract method __complex__.""" + __slots__ = () + + @abc.abstractmethod + def __complex__(self) -> complex: + pass + + @runtime_checkable + class SupportsBytes(Protocol): + """An ABC with one abstract method __bytes__.""" + __slots__ = () + + @abc.abstractmethod + def __bytes__(self) -> bytes: + pass + + @runtime_checkable + class SupportsIndex(Protocol): + __slots__ = () + + @abc.abstractmethod + def __index__(self) -> int: + pass + + @runtime_checkable + class SupportsAbs(Protocol[T_co]): + """ + An ABC with one abstract method __abs__ that is covariant in its return type. + """ + __slots__ = () + + @abc.abstractmethod + def __abs__(self) -> T_co: + pass + + @runtime_checkable + class SupportsRound(Protocol[T_co]): + """ + An ABC with one abstract method __round__ that is covariant in its return type. + """ + __slots__ = () + + @abc.abstractmethod + def __round__(self, ndigits: int = 0) -> T_co: + pass + + +if hasattr(io, "Reader") and hasattr(io, "Writer"): + Reader = io.Reader + Writer = io.Writer +else: + @runtime_checkable + class Reader(Protocol[T_co]): + """Protocol for simple I/O reader instances. + + This protocol only supports blocking I/O. + """ + + __slots__ = () + + @abc.abstractmethod + def read(self, size: int = ..., /) -> T_co: + """Read data from the input stream and return it. + + If *size* is specified, at most *size* items (bytes/characters) will be + read. + """ + + @runtime_checkable + class Writer(Protocol[T_contra]): + """Protocol for simple I/O writer instances. + + This protocol only supports blocking I/O. + """ + + __slots__ = () + + @abc.abstractmethod + def write(self, data: T_contra, /) -> int: + """Write *data* to the output stream and return the number of items written.""" # noqa: E501 + + +_NEEDS_SINGLETONMETA = ( + not hasattr(typing, "NoDefault") or not hasattr(typing, "NoExtraItems") +) + +if _NEEDS_SINGLETONMETA: + class SingletonMeta(type): + def __setattr__(cls, attr, value): + # TypeError is consistent with the behavior of NoneType + raise TypeError( + f"cannot set {attr!r} attribute of immutable type {cls.__name__!r}" + ) + + +if hasattr(typing, "NoDefault"): + NoDefault = typing.NoDefault +else: + class NoDefaultType(metaclass=SingletonMeta): + """The type of the NoDefault singleton.""" + + __slots__ = () + + def __new__(cls): + return globals().get("NoDefault") or object.__new__(cls) + + def __repr__(self): + return "typing_extensions.NoDefault" + + def __reduce__(self): + return "NoDefault" + + NoDefault = NoDefaultType() + del NoDefaultType + +if hasattr(typing, "NoExtraItems"): + NoExtraItems = typing.NoExtraItems +else: + class NoExtraItemsType(metaclass=SingletonMeta): + """The type of the NoExtraItems singleton.""" + + __slots__ = () + + def __new__(cls): + return globals().get("NoExtraItems") or object.__new__(cls) + + def __repr__(self): + return "typing_extensions.NoExtraItems" + + def __reduce__(self): + return "NoExtraItems" + + NoExtraItems = NoExtraItemsType() + del NoExtraItemsType + +if _NEEDS_SINGLETONMETA: + del SingletonMeta + + +# Update this to something like >=3.13.0b1 if and when +# PEP 728 is implemented in CPython +_PEP_728_IMPLEMENTED = False + +if _PEP_728_IMPLEMENTED: + # The standard library TypedDict in Python 3.9.0/1 does not honour the "total" + # keyword with old-style TypedDict(). See https://bugs.python.org/issue42059 + # The standard library TypedDict below Python 3.11 does not store runtime + # information about optional and required keys when using Required or NotRequired. + # Generic TypedDicts are also impossible using typing.TypedDict on Python <3.11. + # Aaaand on 3.12 we add __orig_bases__ to TypedDict + # to enable better runtime introspection. + # On 3.13 we deprecate some odd ways of creating TypedDicts. + # Also on 3.13, PEP 705 adds the ReadOnly[] qualifier. + # PEP 728 (still pending) makes more changes. + TypedDict = typing.TypedDict + _TypedDictMeta = typing._TypedDictMeta + is_typeddict = typing.is_typeddict +else: + # 3.10.0 and later + _TAKES_MODULE = "module" in inspect.signature(typing._type_check).parameters + + def _get_typeddict_qualifiers(annotation_type): + while True: + annotation_origin = get_origin(annotation_type) + if annotation_origin is Annotated: + annotation_args = get_args(annotation_type) + if annotation_args: + annotation_type = annotation_args[0] + else: + break + elif annotation_origin is Required: + yield Required + annotation_type, = get_args(annotation_type) + elif annotation_origin is NotRequired: + yield NotRequired + annotation_type, = get_args(annotation_type) + elif annotation_origin is ReadOnly: + yield ReadOnly + annotation_type, = get_args(annotation_type) + else: + break + + class _TypedDictMeta(type): + + def __new__(cls, name, bases, ns, *, total=True, closed=None, + extra_items=NoExtraItems): + """Create new typed dict class object. + + This method is called when TypedDict is subclassed, + or when TypedDict is instantiated. This way + TypedDict supports all three syntax forms described in its docstring. + Subclasses and instances of TypedDict return actual dictionaries. + """ + for base in bases: + if type(base) is not _TypedDictMeta and base is not typing.Generic: + raise TypeError('cannot inherit from both a TypedDict type ' + 'and a non-TypedDict base class') + if closed is not None and extra_items is not NoExtraItems: + raise TypeError(f"Cannot combine closed={closed!r} and extra_items") + + if any(issubclass(b, typing.Generic) for b in bases): + generic_base = (typing.Generic,) + else: + generic_base = () + + ns_annotations = ns.pop('__annotations__', None) + + # typing.py generally doesn't let you inherit from plain Generic, unless + # the name of the class happens to be "Protocol" + tp_dict = type.__new__(_TypedDictMeta, "Protocol", (*generic_base, dict), ns) + tp_dict.__name__ = name + if tp_dict.__qualname__ == "Protocol": + tp_dict.__qualname__ = name + + if not hasattr(tp_dict, '__orig_bases__'): + tp_dict.__orig_bases__ = bases + + annotations = {} + own_annotate = None + if ns_annotations is not None: + own_annotations = ns_annotations + elif sys.version_info >= (3, 14): + if hasattr(annotationlib, "get_annotate_from_class_namespace"): + own_annotate = annotationlib.get_annotate_from_class_namespace(ns) + else: + # 3.14.0a7 and earlier + own_annotate = ns.get("__annotate__") + if own_annotate is not None: + own_annotations = annotationlib.call_annotate_function( + own_annotate, Format.FORWARDREF, owner=tp_dict + ) + else: + own_annotations = {} + else: + own_annotations = {} + msg = "TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a type" + if _TAKES_MODULE: + own_checked_annotations = { + n: typing._type_check(tp, msg, module=tp_dict.__module__) + for n, tp in own_annotations.items() + } + else: + own_checked_annotations = { + n: typing._type_check(tp, msg) + for n, tp in own_annotations.items() + } + required_keys = set() + optional_keys = set() + readonly_keys = set() + mutable_keys = set() + extra_items_type = extra_items + + for base in bases: + base_dict = base.__dict__ + + if sys.version_info <= (3, 14): + annotations.update(base_dict.get('__annotations__', {})) + required_keys.update(base_dict.get('__required_keys__', ())) + optional_keys.update(base_dict.get('__optional_keys__', ())) + readonly_keys.update(base_dict.get('__readonly_keys__', ())) + mutable_keys.update(base_dict.get('__mutable_keys__', ())) + + # This was specified in an earlier version of PEP 728. Support + # is retained for backwards compatibility, but only for Python + # 3.13 and lower. + if (closed and sys.version_info < (3, 14) + and "__extra_items__" in own_checked_annotations): + annotation_type = own_checked_annotations.pop("__extra_items__") + qualifiers = set(_get_typeddict_qualifiers(annotation_type)) + if Required in qualifiers: + raise TypeError( + "Special key __extra_items__ does not support " + "Required" + ) + if NotRequired in qualifiers: + raise TypeError( + "Special key __extra_items__ does not support " + "NotRequired" + ) + extra_items_type = annotation_type + + annotations.update(own_checked_annotations) + for annotation_key, annotation_type in own_checked_annotations.items(): + qualifiers = set(_get_typeddict_qualifiers(annotation_type)) + + if Required in qualifiers: + required_keys.add(annotation_key) + elif NotRequired in qualifiers: + optional_keys.add(annotation_key) + elif total: + required_keys.add(annotation_key) + else: + optional_keys.add(annotation_key) + if ReadOnly in qualifiers: + mutable_keys.discard(annotation_key) + readonly_keys.add(annotation_key) + else: + mutable_keys.add(annotation_key) + readonly_keys.discard(annotation_key) + + # Breakpoint: https://github.com/python/cpython/pull/119891 + if sys.version_info >= (3, 14): + def __annotate__(format): + annos = {} + for base in bases: + if base is Generic: + continue + base_annotate = base.__annotate__ + if base_annotate is None: + continue + base_annos = annotationlib.call_annotate_function( + base_annotate, format, owner=base) + annos.update(base_annos) + if own_annotate is not None: + own = annotationlib.call_annotate_function( + own_annotate, format, owner=tp_dict) + if format != Format.STRING: + own = { + n: typing._type_check(tp, msg, module=tp_dict.__module__) + for n, tp in own.items() + } + elif format == Format.STRING: + own = annotationlib.annotations_to_string(own_annotations) + elif format in (Format.FORWARDREF, Format.VALUE): + own = own_checked_annotations + else: + raise NotImplementedError(format) + annos.update(own) + return annos + + tp_dict.__annotate__ = __annotate__ + else: + tp_dict.__annotations__ = annotations + tp_dict.__required_keys__ = frozenset(required_keys) + tp_dict.__optional_keys__ = frozenset(optional_keys) + tp_dict.__readonly_keys__ = frozenset(readonly_keys) + tp_dict.__mutable_keys__ = frozenset(mutable_keys) + tp_dict.__total__ = total + tp_dict.__closed__ = closed + tp_dict.__extra_items__ = extra_items_type + return tp_dict + + __call__ = dict # static method + + def __subclasscheck__(cls, other): + # Typed dicts are only for static structural subtyping. + raise TypeError('TypedDict does not support instance and class checks') + + __instancecheck__ = __subclasscheck__ + + _TypedDict = type.__new__(_TypedDictMeta, 'TypedDict', (), {}) + + def _create_typeddict( + typename, + fields, + /, + *, + typing_is_inline, + total, + closed, + extra_items, + **kwargs, + ): + if fields is _marker or fields is None: + if fields is _marker: + deprecated_thing = ( + "Failing to pass a value for the 'fields' parameter" + ) + else: + deprecated_thing = "Passing `None` as the 'fields' parameter" + + example = f"`{typename} = TypedDict({typename!r}, {{}})`" + deprecation_msg = ( + f"{deprecated_thing} is deprecated and will be disallowed in " + "Python 3.15. To create a TypedDict class with 0 fields " + "using the functional syntax, pass an empty dictionary, e.g. " + ) + example + "." + warnings.warn(deprecation_msg, DeprecationWarning, stacklevel=2) + # Support a field called "closed" + if closed is not False and closed is not True and closed is not None: + kwargs["closed"] = closed + closed = None + # Or "extra_items" + if extra_items is not NoExtraItems: + kwargs["extra_items"] = extra_items + extra_items = NoExtraItems + fields = kwargs + elif kwargs: + raise TypeError("TypedDict takes either a dict or keyword arguments," + " but not both") + if kwargs: + # Breakpoint: https://github.com/python/cpython/pull/104891 + if sys.version_info >= (3, 13): + raise TypeError("TypedDict takes no keyword arguments") + warnings.warn( + "The kwargs-based syntax for TypedDict definitions is deprecated " + "in Python 3.11, will be removed in Python 3.13, and may not be " + "understood by third-party type checkers.", + DeprecationWarning, + stacklevel=2, + ) + + ns = {'__annotations__': dict(fields)} + module = _caller(depth=4 if typing_is_inline else 2) + if module is not None: + # Setting correct module is necessary to make typed dict classes + # pickleable. + ns['__module__'] = module + + td = _TypedDictMeta(typename, (), ns, total=total, closed=closed, + extra_items=extra_items) + td.__orig_bases__ = (TypedDict,) + return td + + class _TypedDictSpecialForm(_SpecialForm, _root=True): + def __call__( + self, + typename, + fields=_marker, + /, + *, + total=True, + closed=None, + extra_items=NoExtraItems, + **kwargs + ): + return _create_typeddict( + typename, + fields, + typing_is_inline=False, + total=total, + closed=closed, + extra_items=extra_items, + **kwargs, + ) + + def __mro_entries__(self, bases): + return (_TypedDict,) + + @_TypedDictSpecialForm + def TypedDict(self, args): + """A simple typed namespace. At runtime it is equivalent to a plain dict. + + TypedDict creates a dictionary type such that a type checker will expect all + instances to have a certain set of keys, where each key is + associated with a value of a consistent type. This expectation + is not checked at runtime. + + Usage:: + + class Point2D(TypedDict): + x: int + y: int + label: str + + a: Point2D = {'x': 1, 'y': 2, 'label': 'good'} # OK + b: Point2D = {'z': 3, 'label': 'bad'} # Fails type check + + assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first') + + The type info can be accessed via the Point2D.__annotations__ dict, and + the Point2D.__required_keys__ and Point2D.__optional_keys__ frozensets. + TypedDict supports an additional equivalent form:: + + Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str}) + + By default, all keys must be present in a TypedDict. It is possible + to override this by specifying totality:: + + class Point2D(TypedDict, total=False): + x: int + y: int + + This means that a Point2D TypedDict can have any of the keys omitted. A type + checker is only expected to support a literal False or True as the value of + the total argument. True is the default, and makes all items defined in the + class body be required. + + The Required and NotRequired special forms can also be used to mark + individual keys as being required or not required:: + + class Point2D(TypedDict): + x: int # the "x" key must always be present (Required is the default) + y: NotRequired[int] # the "y" key can be omitted + + See PEP 655 for more details on Required and NotRequired. + """ + # This runs when creating inline TypedDicts: + if not isinstance(args, dict): + raise TypeError( + "TypedDict[...] should be used with a single dict argument" + ) + + return _create_typeddict( + "", + args, + typing_is_inline=True, + total=True, + closed=True, + extra_items=NoExtraItems, + ) + + _TYPEDDICT_TYPES = (typing._TypedDictMeta, _TypedDictMeta) + + def is_typeddict(tp): + """Check if an annotation is a TypedDict class + + For example:: + class Film(TypedDict): + title: str + year: int + + is_typeddict(Film) # => True + is_typeddict(Union[list, str]) # => False + """ + return isinstance(tp, _TYPEDDICT_TYPES) + + +if hasattr(typing, "assert_type"): + assert_type = typing.assert_type + +else: + def assert_type(val, typ, /): + """Assert (to the type checker) that the value is of the given type. + + When the type checker encounters a call to assert_type(), it + emits an error if the value is not of the specified type:: + + def greet(name: str) -> None: + assert_type(name, str) # ok + assert_type(name, int) # type checker error + + At runtime this returns the first argument unchanged and otherwise + does nothing. + """ + return val + + +if hasattr(typing, "ReadOnly"): # 3.13+ + get_type_hints = typing.get_type_hints +else: # <=3.13 + # replaces _strip_annotations() + def _strip_extras(t): + """Strips Annotated, Required and NotRequired from a given type.""" + if isinstance(t, typing._AnnotatedAlias): + return _strip_extras(t.__origin__) + if hasattr(t, "__origin__") and t.__origin__ in (Required, NotRequired, ReadOnly): + return _strip_extras(t.__args__[0]) + if isinstance(t, typing._GenericAlias): + stripped_args = tuple(_strip_extras(a) for a in t.__args__) + if stripped_args == t.__args__: + return t + return t.copy_with(stripped_args) + if hasattr(_types, "GenericAlias") and isinstance(t, _types.GenericAlias): + stripped_args = tuple(_strip_extras(a) for a in t.__args__) + if stripped_args == t.__args__: + return t + return _types.GenericAlias(t.__origin__, stripped_args) + if hasattr(_types, "UnionType") and isinstance(t, _types.UnionType): + stripped_args = tuple(_strip_extras(a) for a in t.__args__) + if stripped_args == t.__args__: + return t + return functools.reduce(operator.or_, stripped_args) + + return t + + def get_type_hints(obj, globalns=None, localns=None, include_extras=False): + """Return type hints for an object. + + This is often the same as obj.__annotations__, but it handles + forward references encoded as string literals, adds Optional[t] if a + default value equal to None is set and recursively replaces all + 'Annotated[T, ...]', 'Required[T]' or 'NotRequired[T]' with 'T' + (unless 'include_extras=True'). + + The argument may be a module, class, method, or function. The annotations + are returned as a dictionary. For classes, annotations include also + inherited members. + + TypeError is raised if the argument is not of a type that can contain + annotations, and an empty dictionary is returned if no annotations are + present. + + BEWARE -- the behavior of globalns and localns is counterintuitive + (unless you are familiar with how eval() and exec() work). The + search order is locals first, then globals. + + - If no dict arguments are passed, an attempt is made to use the + globals from obj (or the respective module's globals for classes), + and these are also used as the locals. If the object does not appear + to have globals, an empty dictionary is used. + + - If one dict argument is passed, it is used for both globals and + locals. + + - If two dict arguments are passed, they specify globals and + locals, respectively. + """ + hint = typing.get_type_hints( + obj, globalns=globalns, localns=localns, include_extras=True + ) + # Breakpoint: https://github.com/python/cpython/pull/30304 + if sys.version_info < (3, 11): + _clean_optional(obj, hint, globalns, localns) + if include_extras: + return hint + return {k: _strip_extras(t) for k, t in hint.items()} + + _NoneType = type(None) + + def _could_be_inserted_optional(t): + """detects Union[..., None] pattern""" + if not isinstance(t, typing._UnionGenericAlias): + return False + # Assume if last argument is not None they are user defined + if t.__args__[-1] is not _NoneType: + return False + return True + + # < 3.11 + def _clean_optional(obj, hints, globalns=None, localns=None): + # reverts injected Union[..., None] cases from typing.get_type_hints + # when a None default value is used. + # see https://github.com/python/typing_extensions/issues/310 + if not hints or isinstance(obj, type): + return + defaults = typing._get_defaults(obj) # avoid accessing __annotations___ + if not defaults: + return + original_hints = obj.__annotations__ + for name, value in hints.items(): + # Not a Union[..., None] or replacement conditions not fullfilled + if (not _could_be_inserted_optional(value) + or name not in defaults + or defaults[name] is not None + ): + continue + original_value = original_hints[name] + # value=NoneType should have caused a skip above but check for safety + if original_value is None: + original_value = _NoneType + # Forward reference + if isinstance(original_value, str): + if globalns is None: + if isinstance(obj, _types.ModuleType): + globalns = obj.__dict__ + else: + nsobj = obj + # Find globalns for the unwrapped object. + while hasattr(nsobj, '__wrapped__'): + nsobj = nsobj.__wrapped__ + globalns = getattr(nsobj, '__globals__', {}) + if localns is None: + localns = globalns + elif localns is None: + localns = globalns + + original_value = ForwardRef( + original_value, + is_argument=not isinstance(obj, _types.ModuleType) + ) + original_evaluated = typing._eval_type(original_value, globalns, localns) + # Compare if values differ. Note that even if equal + # value might be cached by typing._tp_cache contrary to original_evaluated + if original_evaluated != value or ( + # 3.10: ForwardRefs of UnionType might be turned into _UnionGenericAlias + hasattr(_types, "UnionType") + and isinstance(original_evaluated, _types.UnionType) + and not isinstance(value, _types.UnionType) + ): + hints[name] = original_evaluated + +# Python 3.9 has get_origin() and get_args() but those implementations don't support +# ParamSpecArgs and ParamSpecKwargs, so only Python 3.10's versions will do. +# Breakpoint: https://github.com/python/cpython/pull/25298 +if sys.version_info >= (3, 10): + get_origin = typing.get_origin + get_args = typing.get_args +# 3.9 +else: + def get_origin(tp): + """Get the unsubscripted version of a type. + + This supports generic types, Callable, Tuple, Union, Literal, Final, ClassVar + and Annotated. Return None for unsupported types. Examples:: + + get_origin(Literal[42]) is Literal + get_origin(int) is None + get_origin(ClassVar[int]) is ClassVar + get_origin(Generic) is Generic + get_origin(Generic[T]) is Generic + get_origin(Union[T, int]) is Union + get_origin(List[Tuple[T, T]][int]) == list + get_origin(P.args) is P + """ + if isinstance(tp, typing._AnnotatedAlias): + return Annotated + if isinstance(tp, (typing._BaseGenericAlias, _types.GenericAlias, + ParamSpecArgs, ParamSpecKwargs)): + return tp.__origin__ + if tp is typing.Generic: + return typing.Generic + return None + + def get_args(tp): + """Get type arguments with all substitutions performed. + + For unions, basic simplifications used by Union constructor are performed. + Examples:: + get_args(Dict[str, int]) == (str, int) + get_args(int) == () + get_args(Union[int, Union[T, int], str][int]) == (int, str) + get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int]) + get_args(Callable[[], T][int]) == ([], int) + """ + if isinstance(tp, typing._AnnotatedAlias): + return (tp.__origin__, *tp.__metadata__) + if isinstance(tp, (typing._GenericAlias, _types.GenericAlias)): + res = tp.__args__ + if get_origin(tp) is collections.abc.Callable and res[0] is not Ellipsis: + res = (list(res[:-1]), res[-1]) + return res + return () + + +# 3.10+ +if hasattr(typing, 'TypeAlias'): + TypeAlias = typing.TypeAlias +# 3.9 +else: + @_ExtensionsSpecialForm + def TypeAlias(self, parameters): + """Special marker indicating that an assignment should + be recognized as a proper type alias definition by type + checkers. + + For example:: + + Predicate: TypeAlias = Callable[..., bool] + + It's invalid when used anywhere except as in the example above. + """ + raise TypeError(f"{self} is not subscriptable") + + +def _set_default(type_param, default): + type_param.has_default = lambda: default is not NoDefault + type_param.__default__ = default + + +def _set_module(typevarlike): + # for pickling: + def_mod = _caller(depth=2) + if def_mod != 'typing_extensions': + typevarlike.__module__ = def_mod + + +class _DefaultMixin: + """Mixin for TypeVarLike defaults.""" + + __slots__ = () + __init__ = _set_default + + +# Classes using this metaclass must provide a _backported_typevarlike ClassVar +class _TypeVarLikeMeta(type): + def __instancecheck__(cls, __instance: Any) -> bool: + return isinstance(__instance, cls._backported_typevarlike) + + +if _PEP_696_IMPLEMENTED: + from typing import TypeVar +else: + # Add default and infer_variance parameters from PEP 696 and 695 + class TypeVar(metaclass=_TypeVarLikeMeta): + """Type variable.""" + + _backported_typevarlike = typing.TypeVar + + def __new__(cls, name, *constraints, bound=None, + covariant=False, contravariant=False, + default=NoDefault, infer_variance=False): + if hasattr(typing, "TypeAliasType"): + # PEP 695 implemented (3.12+), can pass infer_variance to typing.TypeVar + typevar = typing.TypeVar(name, *constraints, bound=bound, + covariant=covariant, contravariant=contravariant, + infer_variance=infer_variance) + else: + typevar = typing.TypeVar(name, *constraints, bound=bound, + covariant=covariant, contravariant=contravariant) + if infer_variance and (covariant or contravariant): + raise ValueError("Variance cannot be specified with infer_variance.") + typevar.__infer_variance__ = infer_variance + + _set_default(typevar, default) + _set_module(typevar) + + def _tvar_prepare_subst(alias, args): + if ( + typevar.has_default() + and alias.__parameters__.index(typevar) == len(args) + ): + args += (typevar.__default__,) + return args + + typevar.__typing_prepare_subst__ = _tvar_prepare_subst + return typevar + + def __init_subclass__(cls) -> None: + raise TypeError(f"type '{__name__}.TypeVar' is not an acceptable base type") + + +# Python 3.10+ has PEP 612 +if hasattr(typing, 'ParamSpecArgs'): + ParamSpecArgs = typing.ParamSpecArgs + ParamSpecKwargs = typing.ParamSpecKwargs +# 3.9 +else: + class _Immutable: + """Mixin to indicate that object should not be copied.""" + __slots__ = () + + def __copy__(self): + return self + + def __deepcopy__(self, memo): + return self + + class ParamSpecArgs(_Immutable): + """The args for a ParamSpec object. + + Given a ParamSpec object P, P.args is an instance of ParamSpecArgs. + + ParamSpecArgs objects have a reference back to their ParamSpec: + + P.args.__origin__ is P + + This type is meant for runtime introspection and has no special meaning to + static type checkers. + """ + def __init__(self, origin): + self.__origin__ = origin + + def __repr__(self): + return f"{self.__origin__.__name__}.args" + + def __eq__(self, other): + if not isinstance(other, ParamSpecArgs): + return NotImplemented + return self.__origin__ == other.__origin__ + + class ParamSpecKwargs(_Immutable): + """The kwargs for a ParamSpec object. + + Given a ParamSpec object P, P.kwargs is an instance of ParamSpecKwargs. + + ParamSpecKwargs objects have a reference back to their ParamSpec: + + P.kwargs.__origin__ is P + + This type is meant for runtime introspection and has no special meaning to + static type checkers. + """ + def __init__(self, origin): + self.__origin__ = origin + + def __repr__(self): + return f"{self.__origin__.__name__}.kwargs" + + def __eq__(self, other): + if not isinstance(other, ParamSpecKwargs): + return NotImplemented + return self.__origin__ == other.__origin__ + + +if _PEP_696_IMPLEMENTED: + from typing import ParamSpec + +# 3.10+ +elif hasattr(typing, 'ParamSpec'): + + # Add default parameter - PEP 696 + class ParamSpec(metaclass=_TypeVarLikeMeta): + """Parameter specification.""" + + _backported_typevarlike = typing.ParamSpec + + def __new__(cls, name, *, bound=None, + covariant=False, contravariant=False, + infer_variance=False, default=NoDefault): + if hasattr(typing, "TypeAliasType"): + # PEP 695 implemented, can pass infer_variance to typing.TypeVar + paramspec = typing.ParamSpec(name, bound=bound, + covariant=covariant, + contravariant=contravariant, + infer_variance=infer_variance) + else: + paramspec = typing.ParamSpec(name, bound=bound, + covariant=covariant, + contravariant=contravariant) + paramspec.__infer_variance__ = infer_variance + + _set_default(paramspec, default) + _set_module(paramspec) + + def _paramspec_prepare_subst(alias, args): + params = alias.__parameters__ + i = params.index(paramspec) + if i == len(args) and paramspec.has_default(): + args = [*args, paramspec.__default__] + if i >= len(args): + raise TypeError(f"Too few arguments for {alias}") + # Special case where Z[[int, str, bool]] == Z[int, str, bool] in PEP 612. + if len(params) == 1 and not typing._is_param_expr(args[0]): + assert i == 0 + args = (args,) + # Convert lists to tuples to help other libraries cache the results. + elif isinstance(args[i], list): + args = (*args[:i], tuple(args[i]), *args[i + 1:]) + return args + + paramspec.__typing_prepare_subst__ = _paramspec_prepare_subst + return paramspec + + def __init_subclass__(cls) -> None: + raise TypeError(f"type '{__name__}.ParamSpec' is not an acceptable base type") + +# 3.9 +else: + + # Inherits from list as a workaround for Callable checks in Python < 3.9.2. + class ParamSpec(list, _DefaultMixin): + """Parameter specification variable. + + Usage:: + + P = ParamSpec('P') + + Parameter specification variables exist primarily for the benefit of static + type checkers. They are used to forward the parameter types of one + callable to another callable, a pattern commonly found in higher order + functions and decorators. They are only valid when used in ``Concatenate``, + or s the first argument to ``Callable``. In Python 3.10 and higher, + they are also supported in user-defined Generics at runtime. + See class Generic for more information on generic types. An + example for annotating a decorator:: + + T = TypeVar('T') + P = ParamSpec('P') + + def add_logging(f: Callable[P, T]) -> Callable[P, T]: + '''A type-safe decorator to add logging to a function.''' + def inner(*args: P.args, **kwargs: P.kwargs) -> T: + logging.info(f'{f.__name__} was called') + return f(*args, **kwargs) + return inner + + @add_logging + def add_two(x: float, y: float) -> float: + '''Add two numbers together.''' + return x + y + + Parameter specification variables defined with covariant=True or + contravariant=True can be used to declare covariant or contravariant + generic types. These keyword arguments are valid, but their actual semantics + are yet to be decided. See PEP 612 for details. + + Parameter specification variables can be introspected. e.g.: + + P.__name__ == 'T' + P.__bound__ == None + P.__covariant__ == False + P.__contravariant__ == False + + Note that only parameter specification variables defined in global scope can + be pickled. + """ + + # Trick Generic __parameters__. + __class__ = typing.TypeVar + + @property + def args(self): + return ParamSpecArgs(self) + + @property + def kwargs(self): + return ParamSpecKwargs(self) + + def __init__(self, name, *, bound=None, covariant=False, contravariant=False, + infer_variance=False, default=NoDefault): + list.__init__(self, [self]) + self.__name__ = name + self.__covariant__ = bool(covariant) + self.__contravariant__ = bool(contravariant) + self.__infer_variance__ = bool(infer_variance) + if bound: + self.__bound__ = typing._type_check(bound, 'Bound must be a type.') + else: + self.__bound__ = None + _DefaultMixin.__init__(self, default) + + # for pickling: + def_mod = _caller() + if def_mod != 'typing_extensions': + self.__module__ = def_mod + + def __repr__(self): + if self.__infer_variance__: + prefix = '' + elif self.__covariant__: + prefix = '+' + elif self.__contravariant__: + prefix = '-' + else: + prefix = '~' + return prefix + self.__name__ + + def __hash__(self): + return object.__hash__(self) + + def __eq__(self, other): + return self is other + + def __reduce__(self): + return self.__name__ + + # Hack to get typing._type_check to pass. + def __call__(self, *args, **kwargs): + pass + + +# 3.9 +if not hasattr(typing, 'Concatenate'): + # Inherits from list as a workaround for Callable checks in Python < 3.9.2. + + # 3.9.0-1 + if not hasattr(typing, '_type_convert'): + def _type_convert(arg, module=None, *, allow_special_forms=False): + """For converting None to type(None), and strings to ForwardRef.""" + if arg is None: + return type(None) + if isinstance(arg, str): + if sys.version_info <= (3, 9, 6): + return ForwardRef(arg) + if sys.version_info <= (3, 9, 7): + return ForwardRef(arg, module=module) + return ForwardRef(arg, module=module, is_class=allow_special_forms) + return arg + else: + _type_convert = typing._type_convert + + class _ConcatenateGenericAlias(list): + + # Trick Generic into looking into this for __parameters__. + __class__ = typing._GenericAlias + + def __init__(self, origin, args): + super().__init__(args) + self.__origin__ = origin + self.__args__ = args + + def __repr__(self): + _type_repr = typing._type_repr + return (f'{_type_repr(self.__origin__)}' + f'[{", ".join(_type_repr(arg) for arg in self.__args__)}]') + + def __hash__(self): + return hash((self.__origin__, self.__args__)) + + # Hack to get typing._type_check to pass in Generic. + def __call__(self, *args, **kwargs): + pass + + @property + def __parameters__(self): + return tuple( + tp for tp in self.__args__ if isinstance(tp, (typing.TypeVar, ParamSpec)) + ) + + # 3.9 used by __getitem__ below + def copy_with(self, params): + if isinstance(params[-1], _ConcatenateGenericAlias): + params = (*params[:-1], *params[-1].__args__) + elif isinstance(params[-1], (list, tuple)): + return (*params[:-1], *params[-1]) + elif (not (params[-1] is ... or isinstance(params[-1], ParamSpec))): + raise TypeError("The last parameter to Concatenate should be a " + "ParamSpec variable or ellipsis.") + return self.__class__(self.__origin__, params) + + # 3.9; accessed during GenericAlias.__getitem__ when substituting + def __getitem__(self, args): + if self.__origin__ in (Generic, Protocol): + # Can't subscript Generic[...] or Protocol[...]. + raise TypeError(f"Cannot subscript already-subscripted {self}") + if not self.__parameters__: + raise TypeError(f"{self} is not a generic class") + + if not isinstance(args, tuple): + args = (args,) + args = _unpack_args(*(_type_convert(p) for p in args)) + params = self.__parameters__ + for param in params: + prepare = getattr(param, "__typing_prepare_subst__", None) + if prepare is not None: + args = prepare(self, args) + # 3.9 & typing.ParamSpec + elif isinstance(param, ParamSpec): + i = params.index(param) + if ( + i == len(args) + and getattr(param, '__default__', NoDefault) is not NoDefault + ): + args = [*args, param.__default__] + if i >= len(args): + raise TypeError(f"Too few arguments for {self}") + # Special case for Z[[int, str, bool]] == Z[int, str, bool] + if len(params) == 1 and not _is_param_expr(args[0]): + assert i == 0 + args = (args,) + elif ( + isinstance(args[i], list) + # 3.9 + # This class inherits from list do not convert + and not isinstance(args[i], _ConcatenateGenericAlias) + ): + args = (*args[:i], tuple(args[i]), *args[i + 1:]) + + alen = len(args) + plen = len(params) + if alen != plen: + raise TypeError( + f"Too {'many' if alen > plen else 'few'} arguments for {self};" + f" actual {alen}, expected {plen}" + ) + + subst = dict(zip(self.__parameters__, args)) + # determine new args + new_args = [] + for arg in self.__args__: + if isinstance(arg, type): + new_args.append(arg) + continue + if isinstance(arg, TypeVar): + arg = subst[arg] + if ( + (isinstance(arg, typing._GenericAlias) and _is_unpack(arg)) + or ( + hasattr(_types, "GenericAlias") + and isinstance(arg, _types.GenericAlias) + and getattr(arg, "__unpacked__", False) + ) + ): + raise TypeError(f"{arg} is not valid as type argument") + + elif isinstance(arg, + typing._GenericAlias + if not hasattr(_types, "GenericAlias") else + (typing._GenericAlias, _types.GenericAlias) + ): + subparams = arg.__parameters__ + if subparams: + subargs = tuple(subst[x] for x in subparams) + arg = arg[subargs] + new_args.append(arg) + return self.copy_with(tuple(new_args)) + +# 3.10+ +else: + _ConcatenateGenericAlias = typing._ConcatenateGenericAlias + + # 3.10 + if sys.version_info < (3, 11): + + class _ConcatenateGenericAlias(typing._ConcatenateGenericAlias, _root=True): + # needed for checks in collections.abc.Callable to accept this class + __module__ = "typing" + + def copy_with(self, params): + if isinstance(params[-1], (list, tuple)): + return (*params[:-1], *params[-1]) + if isinstance(params[-1], typing._ConcatenateGenericAlias): + params = (*params[:-1], *params[-1].__args__) + elif not (params[-1] is ... or isinstance(params[-1], ParamSpec)): + raise TypeError("The last parameter to Concatenate should be a " + "ParamSpec variable or ellipsis.") + return super(typing._ConcatenateGenericAlias, self).copy_with(params) + + def __getitem__(self, args): + value = super().__getitem__(args) + if isinstance(value, tuple) and any(_is_unpack(t) for t in value): + return tuple(_unpack_args(*(n for n in value))) + return value + + +# 3.9.2 +class _EllipsisDummy: ... + + +# <=3.10 +def _create_concatenate_alias(origin, parameters): + if parameters[-1] is ... and sys.version_info < (3, 9, 2): + # Hack: Arguments must be types, replace it with one. + parameters = (*parameters[:-1], _EllipsisDummy) + if sys.version_info >= (3, 10, 3): + concatenate = _ConcatenateGenericAlias(origin, parameters, + _typevar_types=(TypeVar, ParamSpec), + _paramspec_tvars=True) + else: + concatenate = _ConcatenateGenericAlias(origin, parameters) + if parameters[-1] is not _EllipsisDummy: + return concatenate + # Remove dummy again + concatenate.__args__ = tuple(p if p is not _EllipsisDummy else ... + for p in concatenate.__args__) + if sys.version_info < (3, 10): + # backport needs __args__ adjustment only + return concatenate + concatenate.__parameters__ = tuple(p for p in concatenate.__parameters__ + if p is not _EllipsisDummy) + return concatenate + + +# <=3.10 +@typing._tp_cache +def _concatenate_getitem(self, parameters): + if parameters == (): + raise TypeError("Cannot take a Concatenate of no types.") + if not isinstance(parameters, tuple): + parameters = (parameters,) + if not (parameters[-1] is ... or isinstance(parameters[-1], ParamSpec)): + raise TypeError("The last parameter to Concatenate should be a " + "ParamSpec variable or ellipsis.") + msg = "Concatenate[arg, ...]: each arg must be a type." + parameters = (*(typing._type_check(p, msg) for p in parameters[:-1]), + parameters[-1]) + return _create_concatenate_alias(self, parameters) + + +# 3.11+; Concatenate does not accept ellipsis in 3.10 +# Breakpoint: https://github.com/python/cpython/pull/30969 +if sys.version_info >= (3, 11): + Concatenate = typing.Concatenate +# <=3.10 +else: + @_ExtensionsSpecialForm + def Concatenate(self, parameters): + """Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a + higher order function which adds, removes or transforms parameters of a + callable. + + For example:: + + Callable[Concatenate[int, P], int] + + See PEP 612 for detailed information. + """ + return _concatenate_getitem(self, parameters) + + +# 3.10+ +if hasattr(typing, 'TypeGuard'): + TypeGuard = typing.TypeGuard +# 3.9 +else: + @_ExtensionsSpecialForm + def TypeGuard(self, parameters): + """Special typing form used to annotate the return type of a user-defined + type guard function. ``TypeGuard`` only accepts a single type argument. + At runtime, functions marked this way should return a boolean. + + ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static + type checkers to determine a more precise type of an expression within a + program's code flow. Usually type narrowing is done by analyzing + conditional code flow and applying the narrowing to a block of code. The + conditional expression here is sometimes referred to as a "type guard". + + Sometimes it would be convenient to use a user-defined boolean function + as a type guard. Such a function should use ``TypeGuard[...]`` as its + return type to alert static type checkers to this intention. + + Using ``-> TypeGuard`` tells the static type checker that for a given + function: + + 1. The return value is a boolean. + 2. If the return value is ``True``, the type of its argument + is the type inside ``TypeGuard``. + + For example:: + + def is_str(val: Union[str, float]): + # "isinstance" type guard + if isinstance(val, str): + # Type of ``val`` is narrowed to ``str`` + ... + else: + # Else, type of ``val`` is narrowed to ``float``. + ... + + Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower + form of ``TypeA`` (it can even be a wider form) and this may lead to + type-unsafe results. The main reason is to allow for things like + narrowing ``List[object]`` to ``List[str]`` even though the latter is not + a subtype of the former, since ``List`` is invariant. The responsibility of + writing type-safe type guards is left to the user. + + ``TypeGuard`` also works with type variables. For more information, see + PEP 647 (User-Defined Type Guards). + """ + item = typing._type_check(parameters, f'{self} accepts only a single type.') + return typing._GenericAlias(self, (item,)) + + +# 3.13+ +if hasattr(typing, 'TypeIs'): + TypeIs = typing.TypeIs +# <=3.12 +else: + @_ExtensionsSpecialForm + def TypeIs(self, parameters): + """Special typing form used to annotate the return type of a user-defined + type narrower function. ``TypeIs`` only accepts a single type argument. + At runtime, functions marked this way should return a boolean. + + ``TypeIs`` aims to benefit *type narrowing* -- a technique used by static + type checkers to determine a more precise type of an expression within a + program's code flow. Usually type narrowing is done by analyzing + conditional code flow and applying the narrowing to a block of code. The + conditional expression here is sometimes referred to as a "type guard". + + Sometimes it would be convenient to use a user-defined boolean function + as a type guard. Such a function should use ``TypeIs[...]`` as its + return type to alert static type checkers to this intention. + + Using ``-> TypeIs`` tells the static type checker that for a given + function: + + 1. The return value is a boolean. + 2. If the return value is ``True``, the type of its argument + is the intersection of the type inside ``TypeIs`` and the argument's + previously known type. + + For example:: + + def is_awaitable(val: object) -> TypeIs[Awaitable[Any]]: + return hasattr(val, '__await__') + + def f(val: Union[int, Awaitable[int]]) -> int: + if is_awaitable(val): + assert_type(val, Awaitable[int]) + else: + assert_type(val, int) + + ``TypeIs`` also works with type variables. For more information, see + PEP 742 (Narrowing types with TypeIs). + """ + item = typing._type_check(parameters, f'{self} accepts only a single type.') + return typing._GenericAlias(self, (item,)) + + +# 3.14+? +if hasattr(typing, 'TypeForm'): + TypeForm = typing.TypeForm +# <=3.13 +else: + class _TypeFormForm(_ExtensionsSpecialForm, _root=True): + # TypeForm(X) is equivalent to X but indicates to the type checker + # that the object is a TypeForm. + def __call__(self, obj, /): + return obj + + @_TypeFormForm + def TypeForm(self, parameters): + """A special form representing the value that results from the evaluation + of a type expression. This value encodes the information supplied in the + type expression, and it represents the type described by that type expression. + + When used in a type expression, TypeForm describes a set of type form objects. + It accepts a single type argument, which must be a valid type expression. + ``TypeForm[T]`` describes the set of all type form objects that represent + the type T or types that are assignable to T. + + Usage: + + def cast[T](typ: TypeForm[T], value: Any) -> T: ... + + reveal_type(cast(int, "x")) # int + + See PEP 747 for more information. + """ + item = typing._type_check(parameters, f'{self} accepts only a single type.') + return typing._GenericAlias(self, (item,)) + + + + +if hasattr(typing, "LiteralString"): # 3.11+ + LiteralString = typing.LiteralString +else: + @_SpecialForm + def LiteralString(self, params): + """Represents an arbitrary literal string. + + Example:: + + from typing_extensions import LiteralString + + def query(sql: LiteralString) -> ...: + ... + + query("SELECT * FROM table") # ok + query(f"SELECT * FROM {input()}") # not ok + + See PEP 675 for details. + + """ + raise TypeError(f"{self} is not subscriptable") + + +if hasattr(typing, "Self"): # 3.11+ + Self = typing.Self +else: + @_SpecialForm + def Self(self, params): + """Used to spell the type of "self" in classes. + + Example:: + + from typing import Self + + class ReturnsSelf: + def parse(self, data: bytes) -> Self: + ... + return self + + """ + + raise TypeError(f"{self} is not subscriptable") + + +if hasattr(typing, "Never"): # 3.11+ + Never = typing.Never +else: + @_SpecialForm + def Never(self, params): + """The bottom type, a type that has no members. + + This can be used to define a function that should never be + called, or a function that never returns:: + + from typing_extensions import Never + + def never_call_me(arg: Never) -> None: + pass + + def int_or_str(arg: int | str) -> None: + never_call_me(arg) # type checker error + match arg: + case int(): + print("It's an int") + case str(): + print("It's a str") + case _: + never_call_me(arg) # ok, arg is of type Never + + """ + + raise TypeError(f"{self} is not subscriptable") + + +if hasattr(typing, 'Required'): # 3.11+ + Required = typing.Required + NotRequired = typing.NotRequired +else: # <=3.10 + @_ExtensionsSpecialForm + def Required(self, parameters): + """A special typing construct to mark a key of a total=False TypedDict + as required. For example: + + class Movie(TypedDict, total=False): + title: Required[str] + year: int + + m = Movie( + title='The Matrix', # typechecker error if key is omitted + year=1999, + ) + + There is no runtime checking that a required key is actually provided + when instantiating a related TypedDict. + """ + item = typing._type_check(parameters, f'{self._name} accepts only a single type.') + return typing._GenericAlias(self, (item,)) + + @_ExtensionsSpecialForm + def NotRequired(self, parameters): + """A special typing construct to mark a key of a TypedDict as + potentially missing. For example: + + class Movie(TypedDict): + title: str + year: NotRequired[int] + + m = Movie( + title='The Matrix', # typechecker error if key is omitted + year=1999, + ) + """ + item = typing._type_check(parameters, f'{self._name} accepts only a single type.') + return typing._GenericAlias(self, (item,)) + + +if hasattr(typing, 'ReadOnly'): + ReadOnly = typing.ReadOnly +else: # <=3.12 + @_ExtensionsSpecialForm + def ReadOnly(self, parameters): + """A special typing construct to mark an item of a TypedDict as read-only. + + For example: + + class Movie(TypedDict): + title: ReadOnly[str] + year: int + + def mutate_movie(m: Movie) -> None: + m["year"] = 1992 # allowed + m["title"] = "The Matrix" # typechecker error + + There is no runtime checking for this property. + """ + item = typing._type_check(parameters, f'{self._name} accepts only a single type.') + return typing._GenericAlias(self, (item,)) + + +_UNPACK_DOC = """\ +Type unpack operator. + +The type unpack operator takes the child types from some container type, +such as `tuple[int, str]` or a `TypeVarTuple`, and 'pulls them out'. For +example: + + # For some generic class `Foo`: + Foo[Unpack[tuple[int, str]]] # Equivalent to Foo[int, str] + + Ts = TypeVarTuple('Ts') + # Specifies that `Bar` is generic in an arbitrary number of types. + # (Think of `Ts` as a tuple of an arbitrary number of individual + # `TypeVar`s, which the `Unpack` is 'pulling out' directly into the + # `Generic[]`.) + class Bar(Generic[Unpack[Ts]]): ... + Bar[int] # Valid + Bar[int, str] # Also valid + +From Python 3.11, this can also be done using the `*` operator: + + Foo[*tuple[int, str]] + class Bar(Generic[*Ts]): ... + +The operator can also be used along with a `TypedDict` to annotate +`**kwargs` in a function signature. For instance: + + class Movie(TypedDict): + name: str + year: int + + # This function expects two keyword arguments - *name* of type `str` and + # *year* of type `int`. + def foo(**kwargs: Unpack[Movie]): ... + +Note that there is only some runtime checking of this operator. Not +everything the runtime allows may be accepted by static type checkers. + +For more information, see PEP 646 and PEP 692. +""" + + +# PEP 692 changed the repr of Unpack[] +# Breakpoint: https://github.com/python/cpython/pull/104048 +if sys.version_info >= (3, 12): + Unpack = typing.Unpack + + def _is_unpack(obj): + return get_origin(obj) is Unpack + +else: # <=3.11 + class _UnpackSpecialForm(_ExtensionsSpecialForm, _root=True): + def __init__(self, getitem): + super().__init__(getitem) + self.__doc__ = _UNPACK_DOC + + class _UnpackAlias(typing._GenericAlias, _root=True): + if sys.version_info < (3, 11): + # needed for compatibility with Generic[Unpack[Ts]] + __class__ = typing.TypeVar + + @property + def __typing_unpacked_tuple_args__(self): + assert self.__origin__ is Unpack + assert len(self.__args__) == 1 + arg, = self.__args__ + if isinstance(arg, (typing._GenericAlias, _types.GenericAlias)): + if arg.__origin__ is not tuple: + raise TypeError("Unpack[...] must be used with a tuple type") + return arg.__args__ + return None + + @property + def __typing_is_unpacked_typevartuple__(self): + assert self.__origin__ is Unpack + assert len(self.__args__) == 1 + return isinstance(self.__args__[0], TypeVarTuple) + + def __getitem__(self, args): + if self.__typing_is_unpacked_typevartuple__: + return args + return super().__getitem__(args) + + @_UnpackSpecialForm + def Unpack(self, parameters): + item = typing._type_check(parameters, f'{self._name} accepts only a single type.') + return _UnpackAlias(self, (item,)) + + def _is_unpack(obj): + return isinstance(obj, _UnpackAlias) + + +def _unpack_args(*args): + newargs = [] + for arg in args: + subargs = getattr(arg, '__typing_unpacked_tuple_args__', None) + if subargs is not None and (not (subargs and subargs[-1] is ...)): + newargs.extend(subargs) + else: + newargs.append(arg) + return newargs + + +if _PEP_696_IMPLEMENTED: + from typing import TypeVarTuple + +elif hasattr(typing, "TypeVarTuple"): # 3.11+ + + # Add default parameter - PEP 696 + class TypeVarTuple(metaclass=_TypeVarLikeMeta): + """Type variable tuple.""" + + _backported_typevarlike = typing.TypeVarTuple + + def __new__(cls, name, *, default=NoDefault): + tvt = typing.TypeVarTuple(name) + _set_default(tvt, default) + _set_module(tvt) + + def _typevartuple_prepare_subst(alias, args): + params = alias.__parameters__ + typevartuple_index = params.index(tvt) + for param in params[typevartuple_index + 1:]: + if isinstance(param, TypeVarTuple): + raise TypeError( + f"More than one TypeVarTuple parameter in {alias}" + ) + + alen = len(args) + plen = len(params) + left = typevartuple_index + right = plen - typevartuple_index - 1 + var_tuple_index = None + fillarg = None + for k, arg in enumerate(args): + if not isinstance(arg, type): + subargs = getattr(arg, '__typing_unpacked_tuple_args__', None) + if subargs and len(subargs) == 2 and subargs[-1] is ...: + if var_tuple_index is not None: + raise TypeError( + "More than one unpacked " + "arbitrary-length tuple argument" + ) + var_tuple_index = k + fillarg = subargs[0] + if var_tuple_index is not None: + left = min(left, var_tuple_index) + right = min(right, alen - var_tuple_index - 1) + elif left + right > alen: + raise TypeError(f"Too few arguments for {alias};" + f" actual {alen}, expected at least {plen - 1}") + if left == alen - right and tvt.has_default(): + replacement = _unpack_args(tvt.__default__) + else: + replacement = args[left: alen - right] + + return ( + *args[:left], + *([fillarg] * (typevartuple_index - left)), + replacement, + *([fillarg] * (plen - right - left - typevartuple_index - 1)), + *args[alen - right:], + ) + + tvt.__typing_prepare_subst__ = _typevartuple_prepare_subst + return tvt + + def __init_subclass__(self, *args, **kwds): + raise TypeError("Cannot subclass special typing classes") + +else: # <=3.10 + class TypeVarTuple(_DefaultMixin): + """Type variable tuple. + + Usage:: + + Ts = TypeVarTuple('Ts') + + In the same way that a normal type variable is a stand-in for a single + type such as ``int``, a type variable *tuple* is a stand-in for a *tuple* + type such as ``Tuple[int, str]``. + + Type variable tuples can be used in ``Generic`` declarations. + Consider the following example:: + + class Array(Generic[*Ts]): ... + + The ``Ts`` type variable tuple here behaves like ``tuple[T1, T2]``, + where ``T1`` and ``T2`` are type variables. To use these type variables + as type parameters of ``Array``, we must *unpack* the type variable tuple using + the star operator: ``*Ts``. The signature of ``Array`` then behaves + as if we had simply written ``class Array(Generic[T1, T2]): ...``. + In contrast to ``Generic[T1, T2]``, however, ``Generic[*Shape]`` allows + us to parameterise the class with an *arbitrary* number of type parameters. + + Type variable tuples can be used anywhere a normal ``TypeVar`` can. + This includes class definitions, as shown above, as well as function + signatures and variable annotations:: + + class Array(Generic[*Ts]): + + def __init__(self, shape: Tuple[*Ts]): + self._shape: Tuple[*Ts] = shape + + def get_shape(self) -> Tuple[*Ts]: + return self._shape + + shape = (Height(480), Width(640)) + x: Array[Height, Width] = Array(shape) + y = abs(x) # Inferred type is Array[Height, Width] + z = x + x # ... is Array[Height, Width] + x.get_shape() # ... is tuple[Height, Width] + + """ + + # Trick Generic __parameters__. + __class__ = typing.TypeVar + + def __iter__(self): + yield self.__unpacked__ + + def __init__(self, name, *, default=NoDefault): + self.__name__ = name + _DefaultMixin.__init__(self, default) + + # for pickling: + def_mod = _caller() + if def_mod != 'typing_extensions': + self.__module__ = def_mod + + self.__unpacked__ = Unpack[self] + + def __repr__(self): + return self.__name__ + + def __hash__(self): + return object.__hash__(self) + + def __eq__(self, other): + return self is other + + def __reduce__(self): + return self.__name__ + + def __init_subclass__(self, *args, **kwds): + if '_root' not in kwds: + raise TypeError("Cannot subclass special typing classes") + + +if hasattr(typing, "reveal_type"): # 3.11+ + reveal_type = typing.reveal_type +else: # <=3.10 + def reveal_type(obj: T, /) -> T: + """Reveal the inferred type of a variable. + + When a static type checker encounters a call to ``reveal_type()``, + it will emit the inferred type of the argument:: + + x: int = 1 + reveal_type(x) + + Running a static type checker (e.g., ``mypy``) on this example + will produce output similar to 'Revealed type is "builtins.int"'. + + At runtime, the function prints the runtime type of the + argument and returns it unchanged. + + """ + print(f"Runtime type is {type(obj).__name__!r}", file=sys.stderr) + return obj + + +if hasattr(typing, "_ASSERT_NEVER_REPR_MAX_LENGTH"): # 3.11+ + _ASSERT_NEVER_REPR_MAX_LENGTH = typing._ASSERT_NEVER_REPR_MAX_LENGTH +else: # <=3.10 + _ASSERT_NEVER_REPR_MAX_LENGTH = 100 + + +if hasattr(typing, "assert_never"): # 3.11+ + assert_never = typing.assert_never +else: # <=3.10 + def assert_never(arg: Never, /) -> Never: + """Assert to the type checker that a line of code is unreachable. + + Example:: + + def int_or_str(arg: int | str) -> None: + match arg: + case int(): + print("It's an int") + case str(): + print("It's a str") + case _: + assert_never(arg) + + If a type checker finds that a call to assert_never() is + reachable, it will emit an error. + + At runtime, this throws an exception when called. + + """ + value = repr(arg) + if len(value) > _ASSERT_NEVER_REPR_MAX_LENGTH: + value = value[:_ASSERT_NEVER_REPR_MAX_LENGTH] + '...' + raise AssertionError(f"Expected code to be unreachable, but got: {value}") + + +# dataclass_transform exists in 3.11 but lacks the frozen_default parameter +# Breakpoint: https://github.com/python/cpython/pull/99958 +if sys.version_info >= (3, 12): # 3.12+ + dataclass_transform = typing.dataclass_transform +else: # <=3.11 + def dataclass_transform( + *, + eq_default: bool = True, + order_default: bool = False, + kw_only_default: bool = False, + frozen_default: bool = False, + field_specifiers: typing.Tuple[ + typing.Union[typing.Type[typing.Any], typing.Callable[..., typing.Any]], + ... + ] = (), + **kwargs: typing.Any, + ) -> typing.Callable[[T], T]: + """Decorator that marks a function, class, or metaclass as providing + dataclass-like behavior. + + Example: + + from typing_extensions import dataclass_transform + + _T = TypeVar("_T") + + # Used on a decorator function + @dataclass_transform() + def create_model(cls: type[_T]) -> type[_T]: + ... + return cls + + @create_model + class CustomerModel: + id: int + name: str + + # Used on a base class + @dataclass_transform() + class ModelBase: ... + + class CustomerModel(ModelBase): + id: int + name: str + + # Used on a metaclass + @dataclass_transform() + class ModelMeta(type): ... + + class ModelBase(metaclass=ModelMeta): ... + + class CustomerModel(ModelBase): + id: int + name: str + + Each of the ``CustomerModel`` classes defined in this example will now + behave similarly to a dataclass created with the ``@dataclasses.dataclass`` + decorator. For example, the type checker will synthesize an ``__init__`` + method. + + The arguments to this decorator can be used to customize this behavior: + - ``eq_default`` indicates whether the ``eq`` parameter is assumed to be + True or False if it is omitted by the caller. + - ``order_default`` indicates whether the ``order`` parameter is + assumed to be True or False if it is omitted by the caller. + - ``kw_only_default`` indicates whether the ``kw_only`` parameter is + assumed to be True or False if it is omitted by the caller. + - ``frozen_default`` indicates whether the ``frozen`` parameter is + assumed to be True or False if it is omitted by the caller. + - ``field_specifiers`` specifies a static list of supported classes + or functions that describe fields, similar to ``dataclasses.field()``. + + At runtime, this decorator records its arguments in the + ``__dataclass_transform__`` attribute on the decorated object. + + See PEP 681 for details. + + """ + def decorator(cls_or_fn): + cls_or_fn.__dataclass_transform__ = { + "eq_default": eq_default, + "order_default": order_default, + "kw_only_default": kw_only_default, + "frozen_default": frozen_default, + "field_specifiers": field_specifiers, + "kwargs": kwargs, + } + return cls_or_fn + return decorator + + +if hasattr(typing, "override"): # 3.12+ + override = typing.override +else: # <=3.11 + _F = typing.TypeVar("_F", bound=typing.Callable[..., typing.Any]) + + def override(arg: _F, /) -> _F: + """Indicate that a method is intended to override a method in a base class. + + Usage: + + class Base: + def method(self) -> None: + pass + + class Child(Base): + @override + def method(self) -> None: + super().method() + + When this decorator is applied to a method, the type checker will + validate that it overrides a method with the same name on a base class. + This helps prevent bugs that may occur when a base class is changed + without an equivalent change to a child class. + + There is no runtime checking of these properties. The decorator + sets the ``__override__`` attribute to ``True`` on the decorated object + to allow runtime introspection. + + See PEP 698 for details. + + """ + try: + arg.__override__ = True + except (AttributeError, TypeError): + # Skip the attribute silently if it is not writable. + # AttributeError happens if the object has __slots__ or a + # read-only property, TypeError if it's a builtin class. + pass + return arg + + +# Python 3.13.3+ contains a fix for the wrapped __new__ +# Breakpoint: https://github.com/python/cpython/pull/132160 +if sys.version_info >= (3, 13, 3): + deprecated = warnings.deprecated +else: + _T = typing.TypeVar("_T") + + class deprecated: + """Indicate that a class, function or overload is deprecated. + + When this decorator is applied to an object, the type checker + will generate a diagnostic on usage of the deprecated object. + + Usage: + + @deprecated("Use B instead") + class A: + pass + + @deprecated("Use g instead") + def f(): + pass + + @overload + @deprecated("int support is deprecated") + def g(x: int) -> int: ... + @overload + def g(x: str) -> int: ... + + The warning specified by *category* will be emitted at runtime + on use of deprecated objects. For functions, that happens on calls; + for classes, on instantiation and on creation of subclasses. + If the *category* is ``None``, no warning is emitted at runtime. + The *stacklevel* determines where the + warning is emitted. If it is ``1`` (the default), the warning + is emitted at the direct caller of the deprecated object; if it + is higher, it is emitted further up the stack. + Static type checker behavior is not affected by the *category* + and *stacklevel* arguments. + + The deprecation message passed to the decorator is saved in the + ``__deprecated__`` attribute on the decorated object. + If applied to an overload, the decorator + must be after the ``@overload`` decorator for the attribute to + exist on the overload as returned by ``get_overloads()``. + + See PEP 702 for details. + + """ + def __init__( + self, + message: str, + /, + *, + category: typing.Optional[typing.Type[Warning]] = DeprecationWarning, + stacklevel: int = 1, + ) -> None: + if not isinstance(message, str): + raise TypeError( + "Expected an object of type str for 'message', not " + f"{type(message).__name__!r}" + ) + self.message = message + self.category = category + self.stacklevel = stacklevel + + def __call__(self, arg: _T, /) -> _T: + # Make sure the inner functions created below don't + # retain a reference to self. + msg = self.message + category = self.category + stacklevel = self.stacklevel + if category is None: + arg.__deprecated__ = msg + return arg + elif isinstance(arg, type): + import functools + from types import MethodType + + original_new = arg.__new__ + + @functools.wraps(original_new) + def __new__(cls, /, *args, **kwargs): + if cls is arg: + warnings.warn(msg, category=category, stacklevel=stacklevel + 1) + if original_new is not object.__new__: + return original_new(cls, *args, **kwargs) + # Mirrors a similar check in object.__new__. + elif cls.__init__ is object.__init__ and (args or kwargs): + raise TypeError(f"{cls.__name__}() takes no arguments") + else: + return original_new(cls) + + arg.__new__ = staticmethod(__new__) + + original_init_subclass = arg.__init_subclass__ + # We need slightly different behavior if __init_subclass__ + # is a bound method (likely if it was implemented in Python) + if isinstance(original_init_subclass, MethodType): + original_init_subclass = original_init_subclass.__func__ + + @functools.wraps(original_init_subclass) + def __init_subclass__(*args, **kwargs): + warnings.warn(msg, category=category, stacklevel=stacklevel + 1) + return original_init_subclass(*args, **kwargs) + + arg.__init_subclass__ = classmethod(__init_subclass__) + # Or otherwise, which likely means it's a builtin such as + # object's implementation of __init_subclass__. + else: + @functools.wraps(original_init_subclass) + def __init_subclass__(*args, **kwargs): + warnings.warn(msg, category=category, stacklevel=stacklevel + 1) + return original_init_subclass(*args, **kwargs) + + arg.__init_subclass__ = __init_subclass__ + + arg.__deprecated__ = __new__.__deprecated__ = msg + __init_subclass__.__deprecated__ = msg + return arg + elif callable(arg): + import asyncio.coroutines + import functools + import inspect + + @functools.wraps(arg) + def wrapper(*args, **kwargs): + warnings.warn(msg, category=category, stacklevel=stacklevel + 1) + return arg(*args, **kwargs) + + if asyncio.coroutines.iscoroutinefunction(arg): + # Breakpoint: https://github.com/python/cpython/pull/99247 + if sys.version_info >= (3, 12): + wrapper = inspect.markcoroutinefunction(wrapper) + else: + wrapper._is_coroutine = asyncio.coroutines._is_coroutine + + arg.__deprecated__ = wrapper.__deprecated__ = msg + return wrapper + else: + raise TypeError( + "@deprecated decorator with non-None category must be applied to " + f"a class or callable, not {arg!r}" + ) + +# Breakpoint: https://github.com/python/cpython/pull/23702 +if sys.version_info < (3, 10): + def _is_param_expr(arg): + return arg is ... or isinstance( + arg, (tuple, list, ParamSpec, _ConcatenateGenericAlias) + ) +else: + def _is_param_expr(arg): + return arg is ... or isinstance( + arg, + ( + tuple, + list, + ParamSpec, + _ConcatenateGenericAlias, + typing._ConcatenateGenericAlias, + ), + ) + + +# We have to do some monkey patching to deal with the dual nature of +# Unpack/TypeVarTuple: +# - We want Unpack to be a kind of TypeVar so it gets accepted in +# Generic[Unpack[Ts]] +# - We want it to *not* be treated as a TypeVar for the purposes of +# counting generic parameters, so that when we subscript a generic, +# the runtime doesn't try to substitute the Unpack with the subscripted type. +if not hasattr(typing, "TypeVarTuple"): + def _check_generic(cls, parameters, elen=_marker): + """Check correct count for parameters of a generic cls (internal helper). + + This gives a nice error message in case of count mismatch. + """ + # If substituting a single ParamSpec with multiple arguments + # we do not check the count + if (inspect.isclass(cls) and issubclass(cls, typing.Generic) + and len(cls.__parameters__) == 1 + and isinstance(cls.__parameters__[0], ParamSpec) + and parameters + and not _is_param_expr(parameters[0]) + ): + # Generic modifies parameters variable, but here we cannot do this + return + + if not elen: + raise TypeError(f"{cls} is not a generic class") + if elen is _marker: + if not hasattr(cls, "__parameters__") or not cls.__parameters__: + raise TypeError(f"{cls} is not a generic class") + elen = len(cls.__parameters__) + alen = len(parameters) + if alen != elen: + expect_val = elen + if hasattr(cls, "__parameters__"): + parameters = [p for p in cls.__parameters__ if not _is_unpack(p)] + num_tv_tuples = sum(isinstance(p, TypeVarTuple) for p in parameters) + if (num_tv_tuples > 0) and (alen >= elen - num_tv_tuples): + return + + # deal with TypeVarLike defaults + # required TypeVarLikes cannot appear after a defaulted one. + if alen < elen: + # since we validate TypeVarLike default in _collect_type_vars + # or _collect_parameters we can safely check parameters[alen] + if ( + getattr(parameters[alen], '__default__', NoDefault) + is not NoDefault + ): + return + + num_default_tv = sum(getattr(p, '__default__', NoDefault) + is not NoDefault for p in parameters) + + elen -= num_default_tv + + expect_val = f"at least {elen}" + + # Breakpoint: https://github.com/python/cpython/pull/27515 + things = "arguments" if sys.version_info >= (3, 10) else "parameters" + raise TypeError(f"Too {'many' if alen > elen else 'few'} {things}" + f" for {cls}; actual {alen}, expected {expect_val}") +else: + # Python 3.11+ + + def _check_generic(cls, parameters, elen): + """Check correct count for parameters of a generic cls (internal helper). + + This gives a nice error message in case of count mismatch. + """ + if not elen: + raise TypeError(f"{cls} is not a generic class") + alen = len(parameters) + if alen != elen: + expect_val = elen + if hasattr(cls, "__parameters__"): + parameters = [p for p in cls.__parameters__ if not _is_unpack(p)] + + # deal with TypeVarLike defaults + # required TypeVarLikes cannot appear after a defaulted one. + if alen < elen: + # since we validate TypeVarLike default in _collect_type_vars + # or _collect_parameters we can safely check parameters[alen] + if ( + getattr(parameters[alen], '__default__', NoDefault) + is not NoDefault + ): + return + + num_default_tv = sum(getattr(p, '__default__', NoDefault) + is not NoDefault for p in parameters) + + elen -= num_default_tv + + expect_val = f"at least {elen}" + + raise TypeError(f"Too {'many' if alen > elen else 'few'} arguments" + f" for {cls}; actual {alen}, expected {expect_val}") + +if not _PEP_696_IMPLEMENTED: + typing._check_generic = _check_generic + + +def _has_generic_or_protocol_as_origin() -> bool: + try: + frame = sys._getframe(2) + # - Catch AttributeError: not all Python implementations have sys._getframe() + # - Catch ValueError: maybe we're called from an unexpected module + # and the call stack isn't deep enough + except (AttributeError, ValueError): + return False # err on the side of leniency + else: + # If we somehow get invoked from outside typing.py, + # also err on the side of leniency + if frame.f_globals.get("__name__") != "typing": + return False + origin = frame.f_locals.get("origin") + # Cannot use "in" because origin may be an object with a buggy __eq__ that + # throws an error. + return origin is typing.Generic or origin is Protocol or origin is typing.Protocol + + +_TYPEVARTUPLE_TYPES = {TypeVarTuple, getattr(typing, "TypeVarTuple", None)} + + +def _is_unpacked_typevartuple(x) -> bool: + if get_origin(x) is not Unpack: + return False + args = get_args(x) + return ( + bool(args) + and len(args) == 1 + and type(args[0]) in _TYPEVARTUPLE_TYPES + ) + + +# Python 3.11+ _collect_type_vars was renamed to _collect_parameters +if hasattr(typing, '_collect_type_vars'): + def _collect_type_vars(types, typevar_types=None): + """Collect all type variable contained in types in order of + first appearance (lexicographic order). For example:: + + _collect_type_vars((T, List[S, T])) == (T, S) + """ + if typevar_types is None: + typevar_types = typing.TypeVar + tvars = [] + + # A required TypeVarLike cannot appear after a TypeVarLike with a default + # if it was a direct call to `Generic[]` or `Protocol[]` + enforce_default_ordering = _has_generic_or_protocol_as_origin() + default_encountered = False + + # Also, a TypeVarLike with a default cannot appear after a TypeVarTuple + type_var_tuple_encountered = False + + for t in types: + if _is_unpacked_typevartuple(t): + type_var_tuple_encountered = True + elif ( + isinstance(t, typevar_types) and not isinstance(t, _UnpackAlias) + and t not in tvars + ): + if enforce_default_ordering: + has_default = getattr(t, '__default__', NoDefault) is not NoDefault + if has_default: + if type_var_tuple_encountered: + raise TypeError('Type parameter with a default' + ' follows TypeVarTuple') + default_encountered = True + elif default_encountered: + raise TypeError(f'Type parameter {t!r} without a default' + ' follows type parameter with a default') + + tvars.append(t) + if _should_collect_from_parameters(t): + tvars.extend([t for t in t.__parameters__ if t not in tvars]) + elif isinstance(t, tuple): + # Collect nested type_vars + # tuple wrapped by _prepare_paramspec_params(cls, params) + for x in t: + for collected in _collect_type_vars([x]): + if collected not in tvars: + tvars.append(collected) + return tuple(tvars) + + typing._collect_type_vars = _collect_type_vars +else: + def _collect_parameters(args): + """Collect all type variables and parameter specifications in args + in order of first appearance (lexicographic order). + + For example:: + + assert _collect_parameters((T, Callable[P, T])) == (T, P) + """ + parameters = [] + + # A required TypeVarLike cannot appear after a TypeVarLike with default + # if it was a direct call to `Generic[]` or `Protocol[]` + enforce_default_ordering = _has_generic_or_protocol_as_origin() + default_encountered = False + + # Also, a TypeVarLike with a default cannot appear after a TypeVarTuple + type_var_tuple_encountered = False + + for t in args: + if isinstance(t, type): + # We don't want __parameters__ descriptor of a bare Python class. + pass + elif isinstance(t, tuple): + # `t` might be a tuple, when `ParamSpec` is substituted with + # `[T, int]`, or `[int, *Ts]`, etc. + for x in t: + for collected in _collect_parameters([x]): + if collected not in parameters: + parameters.append(collected) + elif hasattr(t, '__typing_subst__'): + if t not in parameters: + if enforce_default_ordering: + has_default = ( + getattr(t, '__default__', NoDefault) is not NoDefault + ) + + if type_var_tuple_encountered and has_default: + raise TypeError('Type parameter with a default' + ' follows TypeVarTuple') + + if has_default: + default_encountered = True + elif default_encountered: + raise TypeError(f'Type parameter {t!r} without a default' + ' follows type parameter with a default') + + parameters.append(t) + else: + if _is_unpacked_typevartuple(t): + type_var_tuple_encountered = True + for x in getattr(t, '__parameters__', ()): + if x not in parameters: + parameters.append(x) + + return tuple(parameters) + + if not _PEP_696_IMPLEMENTED: + typing._collect_parameters = _collect_parameters + +# Backport typing.NamedTuple as it exists in Python 3.13. +# In 3.11, the ability to define generic `NamedTuple`s was supported. +# This was explicitly disallowed in 3.9-3.10, and only half-worked in <=3.8. +# On 3.12, we added __orig_bases__ to call-based NamedTuples +# On 3.13, we deprecated kwargs-based NamedTuples +# Breakpoint: https://github.com/python/cpython/pull/105609 +if sys.version_info >= (3, 13): + NamedTuple = typing.NamedTuple +else: + def _make_nmtuple(name, types, module, defaults=()): + fields = [n for n, t in types] + annotations = {n: typing._type_check(t, f"field {n} annotation must be a type") + for n, t in types} + nm_tpl = collections.namedtuple(name, fields, + defaults=defaults, module=module) + nm_tpl.__annotations__ = nm_tpl.__new__.__annotations__ = annotations + return nm_tpl + + _prohibited_namedtuple_fields = typing._prohibited + _special_namedtuple_fields = frozenset({'__module__', '__name__', '__annotations__'}) + + class _NamedTupleMeta(type): + def __new__(cls, typename, bases, ns): + assert _NamedTuple in bases + for base in bases: + if base is not _NamedTuple and base is not typing.Generic: + raise TypeError( + 'can only inherit from a NamedTuple type and Generic') + bases = tuple(tuple if base is _NamedTuple else base for base in bases) + if "__annotations__" in ns: + types = ns["__annotations__"] + elif "__annotate__" in ns: + # TODO: Use inspect.VALUE here, and make the annotations lazily evaluated + types = ns["__annotate__"](1) + else: + types = {} + default_names = [] + for field_name in types: + if field_name in ns: + default_names.append(field_name) + elif default_names: + raise TypeError(f"Non-default namedtuple field {field_name} " + f"cannot follow default field" + f"{'s' if len(default_names) > 1 else ''} " + f"{', '.join(default_names)}") + nm_tpl = _make_nmtuple( + typename, types.items(), + defaults=[ns[n] for n in default_names], + module=ns['__module__'] + ) + nm_tpl.__bases__ = bases + if typing.Generic in bases: + if hasattr(typing, '_generic_class_getitem'): # 3.12+ + nm_tpl.__class_getitem__ = classmethod(typing._generic_class_getitem) + else: + class_getitem = typing.Generic.__class_getitem__.__func__ + nm_tpl.__class_getitem__ = classmethod(class_getitem) + # update from user namespace without overriding special namedtuple attributes + for key, val in ns.items(): + if key in _prohibited_namedtuple_fields: + raise AttributeError("Cannot overwrite NamedTuple attribute " + key) + elif key not in _special_namedtuple_fields: + if key not in nm_tpl._fields: + setattr(nm_tpl, key, ns[key]) + try: + set_name = type(val).__set_name__ + except AttributeError: + pass + else: + try: + set_name(val, nm_tpl, key) + except BaseException as e: + msg = ( + f"Error calling __set_name__ on {type(val).__name__!r} " + f"instance {key!r} in {typename!r}" + ) + # BaseException.add_note() existed on py311, + # but the __set_name__ machinery didn't start + # using add_note() until py312. + # Making sure exceptions are raised in the same way + # as in "normal" classes seems most important here. + # Breakpoint: https://github.com/python/cpython/pull/95915 + if sys.version_info >= (3, 12): + e.add_note(msg) + raise + else: + raise RuntimeError(msg) from e + + if typing.Generic in bases: + nm_tpl.__init_subclass__() + return nm_tpl + + _NamedTuple = type.__new__(_NamedTupleMeta, 'NamedTuple', (), {}) + + def _namedtuple_mro_entries(bases): + assert NamedTuple in bases + return (_NamedTuple,) + + def NamedTuple(typename, fields=_marker, /, **kwargs): + """Typed version of namedtuple. + + Usage:: + + class Employee(NamedTuple): + name: str + id: int + + This is equivalent to:: + + Employee = collections.namedtuple('Employee', ['name', 'id']) + + The resulting class has an extra __annotations__ attribute, giving a + dict that maps field names to types. (The field names are also in + the _fields attribute, which is part of the namedtuple API.) + An alternative equivalent functional syntax is also accepted:: + + Employee = NamedTuple('Employee', [('name', str), ('id', int)]) + """ + if fields is _marker: + if kwargs: + deprecated_thing = "Creating NamedTuple classes using keyword arguments" + deprecation_msg = ( + "{name} is deprecated and will be disallowed in Python {remove}. " + "Use the class-based or functional syntax instead." + ) + else: + deprecated_thing = "Failing to pass a value for the 'fields' parameter" + example = f"`{typename} = NamedTuple({typename!r}, [])`" + deprecation_msg = ( + "{name} is deprecated and will be disallowed in Python {remove}. " + "To create a NamedTuple class with 0 fields " + "using the functional syntax, " + "pass an empty list, e.g. " + ) + example + "." + elif fields is None: + if kwargs: + raise TypeError( + "Cannot pass `None` as the 'fields' parameter " + "and also specify fields using keyword arguments" + ) + else: + deprecated_thing = "Passing `None` as the 'fields' parameter" + example = f"`{typename} = NamedTuple({typename!r}, [])`" + deprecation_msg = ( + "{name} is deprecated and will be disallowed in Python {remove}. " + "To create a NamedTuple class with 0 fields " + "using the functional syntax, " + "pass an empty list, e.g. " + ) + example + "." + elif kwargs: + raise TypeError("Either list of fields or keywords" + " can be provided to NamedTuple, not both") + if fields is _marker or fields is None: + warnings.warn( + deprecation_msg.format(name=deprecated_thing, remove="3.15"), + DeprecationWarning, + stacklevel=2, + ) + fields = kwargs.items() + nt = _make_nmtuple(typename, fields, module=_caller()) + nt.__orig_bases__ = (NamedTuple,) + return nt + + NamedTuple.__mro_entries__ = _namedtuple_mro_entries + + +if hasattr(collections.abc, "Buffer"): + Buffer = collections.abc.Buffer +else: + class Buffer(abc.ABC): # noqa: B024 + """Base class for classes that implement the buffer protocol. + + The buffer protocol allows Python objects to expose a low-level + memory buffer interface. Before Python 3.12, it is not possible + to implement the buffer protocol in pure Python code, or even + to check whether a class implements the buffer protocol. In + Python 3.12 and higher, the ``__buffer__`` method allows access + to the buffer protocol from Python code, and the + ``collections.abc.Buffer`` ABC allows checking whether a class + implements the buffer protocol. + + To indicate support for the buffer protocol in earlier versions, + inherit from this ABC, either in a stub file or at runtime, + or use ABC registration. This ABC provides no methods, because + there is no Python-accessible methods shared by pre-3.12 buffer + classes. It is useful primarily for static checks. + + """ + + # As a courtesy, register the most common stdlib buffer classes. + Buffer.register(memoryview) + Buffer.register(bytearray) + Buffer.register(bytes) + + +# Backport of types.get_original_bases, available on 3.12+ in CPython +if hasattr(_types, "get_original_bases"): + get_original_bases = _types.get_original_bases +else: + def get_original_bases(cls, /): + """Return the class's "original" bases prior to modification by `__mro_entries__`. + + Examples:: + + from typing import TypeVar, Generic + from typing_extensions import NamedTuple, TypedDict + + T = TypeVar("T") + class Foo(Generic[T]): ... + class Bar(Foo[int], float): ... + class Baz(list[str]): ... + Eggs = NamedTuple("Eggs", [("a", int), ("b", str)]) + Spam = TypedDict("Spam", {"a": int, "b": str}) + + assert get_original_bases(Bar) == (Foo[int], float) + assert get_original_bases(Baz) == (list[str],) + assert get_original_bases(Eggs) == (NamedTuple,) + assert get_original_bases(Spam) == (TypedDict,) + assert get_original_bases(int) == (object,) + """ + try: + return cls.__dict__.get("__orig_bases__", cls.__bases__) + except AttributeError: + raise TypeError( + f'Expected an instance of type, not {type(cls).__name__!r}' + ) from None + + +# NewType is a class on Python 3.10+, making it pickleable +# The error message for subclassing instances of NewType was improved on 3.11+ +# Breakpoint: https://github.com/python/cpython/pull/30268 +if sys.version_info >= (3, 11): + NewType = typing.NewType +else: + class NewType: + """NewType creates simple unique types with almost zero + runtime overhead. NewType(name, tp) is considered a subtype of tp + by static type checkers. At runtime, NewType(name, tp) returns + a dummy callable that simply returns its argument. Usage:: + UserId = NewType('UserId', int) + def name_by_id(user_id: UserId) -> str: + ... + UserId('user') # Fails type check + name_by_id(42) # Fails type check + name_by_id(UserId(42)) # OK + num = UserId(5) + 1 # type: int + """ + + def __call__(self, obj, /): + return obj + + def __init__(self, name, tp): + self.__qualname__ = name + if '.' in name: + name = name.rpartition('.')[-1] + self.__name__ = name + self.__supertype__ = tp + def_mod = _caller() + if def_mod != 'typing_extensions': + self.__module__ = def_mod + + def __mro_entries__(self, bases): + # We defined __mro_entries__ to get a better error message + # if a user attempts to subclass a NewType instance. bpo-46170 + supercls_name = self.__name__ + + class Dummy: + def __init_subclass__(cls): + subcls_name = cls.__name__ + raise TypeError( + f"Cannot subclass an instance of NewType. " + f"Perhaps you were looking for: " + f"`{subcls_name} = NewType({subcls_name!r}, {supercls_name})`" + ) + + return (Dummy,) + + def __repr__(self): + return f'{self.__module__}.{self.__qualname__}' + + def __reduce__(self): + return self.__qualname__ + + # Breakpoint: https://github.com/python/cpython/pull/21515 + if sys.version_info >= (3, 10): + # PEP 604 methods + # It doesn't make sense to have these methods on Python <3.10 + + def __or__(self, other): + return typing.Union[self, other] + + def __ror__(self, other): + return typing.Union[other, self] + + +# Breakpoint: https://github.com/python/cpython/pull/124795 +if sys.version_info >= (3, 14): + TypeAliasType = typing.TypeAliasType +# <=3.13 +else: + # Breakpoint: https://github.com/python/cpython/pull/103764 + if sys.version_info >= (3, 12): + # 3.12-3.13 + def _is_unionable(obj): + """Corresponds to is_unionable() in unionobject.c in CPython.""" + return obj is None or isinstance(obj, ( + type, + _types.GenericAlias, + _types.UnionType, + typing.TypeAliasType, + TypeAliasType, + )) + else: + # <=3.11 + def _is_unionable(obj): + """Corresponds to is_unionable() in unionobject.c in CPython.""" + return obj is None or isinstance(obj, ( + type, + _types.GenericAlias, + _types.UnionType, + TypeAliasType, + )) + + if sys.version_info < (3, 10): + # Copied and pasted from https://github.com/python/cpython/blob/986a4e1b6fcae7fe7a1d0a26aea446107dd58dd2/Objects/genericaliasobject.c#L568-L582, + # so that we emulate the behaviour of `types.GenericAlias` + # on the latest versions of CPython + _ATTRIBUTE_DELEGATION_EXCLUSIONS = frozenset({ + "__class__", + "__bases__", + "__origin__", + "__args__", + "__unpacked__", + "__parameters__", + "__typing_unpacked_tuple_args__", + "__mro_entries__", + "__reduce_ex__", + "__reduce__", + "__copy__", + "__deepcopy__", + }) + + class _TypeAliasGenericAlias(typing._GenericAlias, _root=True): + def __getattr__(self, attr): + if attr in _ATTRIBUTE_DELEGATION_EXCLUSIONS: + return object.__getattr__(self, attr) + return getattr(self.__origin__, attr) + + + class TypeAliasType: + """Create named, parameterized type aliases. + + This provides a backport of the new `type` statement in Python 3.12: + + type ListOrSet[T] = list[T] | set[T] + + is equivalent to: + + T = TypeVar("T") + ListOrSet = TypeAliasType("ListOrSet", list[T] | set[T], type_params=(T,)) + + The name ListOrSet can then be used as an alias for the type it refers to. + + The type_params argument should contain all the type parameters used + in the value of the type alias. If the alias is not generic, this + argument is omitted. + + Static type checkers should only support type aliases declared using + TypeAliasType that follow these rules: + + - The first argument (the name) must be a string literal. + - The TypeAliasType instance must be immediately assigned to a variable + of the same name. (For example, 'X = TypeAliasType("Y", int)' is invalid, + as is 'X, Y = TypeAliasType("X", int), TypeAliasType("Y", int)'). + + """ + + def __init__(self, name: str, value, *, type_params=()): + if not isinstance(name, str): + raise TypeError("TypeAliasType name must be a string") + if not isinstance(type_params, tuple): + raise TypeError("type_params must be a tuple") + self.__value__ = value + self.__type_params__ = type_params + + default_value_encountered = False + parameters = [] + for type_param in type_params: + if ( + not isinstance(type_param, (TypeVar, TypeVarTuple, ParamSpec)) + # <=3.11 + # Unpack Backport passes isinstance(type_param, TypeVar) + or _is_unpack(type_param) + ): + raise TypeError(f"Expected a type param, got {type_param!r}") + has_default = ( + getattr(type_param, '__default__', NoDefault) is not NoDefault + ) + if default_value_encountered and not has_default: + raise TypeError(f"non-default type parameter '{type_param!r}'" + " follows default type parameter") + if has_default: + default_value_encountered = True + if isinstance(type_param, TypeVarTuple): + parameters.extend(type_param) + else: + parameters.append(type_param) + self.__parameters__ = tuple(parameters) + def_mod = _caller() + if def_mod != 'typing_extensions': + self.__module__ = def_mod + # Setting this attribute closes the TypeAliasType from further modification + self.__name__ = name + + def __setattr__(self, name: str, value: object, /) -> None: + if hasattr(self, "__name__"): + self._raise_attribute_error(name) + super().__setattr__(name, value) + + def __delattr__(self, name: str, /) -> Never: + self._raise_attribute_error(name) + + def _raise_attribute_error(self, name: str) -> Never: + # Match the Python 3.12 error messages exactly + if name == "__name__": + raise AttributeError("readonly attribute") + elif name in {"__value__", "__type_params__", "__parameters__", "__module__"}: + raise AttributeError( + f"attribute '{name}' of 'typing.TypeAliasType' objects " + "is not writable" + ) + else: + raise AttributeError( + f"'typing.TypeAliasType' object has no attribute '{name}'" + ) + + def __repr__(self) -> str: + return self.__name__ + + if sys.version_info < (3, 11): + def _check_single_param(self, param, recursion=0): + # Allow [], [int], [int, str], [int, ...], [int, T] + if param is ...: + return ... + if param is None: + return None + # Note in <= 3.9 _ConcatenateGenericAlias inherits from list + if isinstance(param, list) and recursion == 0: + return [self._check_single_param(arg, recursion+1) + for arg in param] + return typing._type_check( + param, f'Subscripting {self.__name__} requires a type.' + ) + + def _check_parameters(self, parameters): + if sys.version_info < (3, 11): + return tuple( + self._check_single_param(item) + for item in parameters + ) + return tuple(typing._type_check( + item, f'Subscripting {self.__name__} requires a type.' + ) + for item in parameters + ) + + def __getitem__(self, parameters): + if not self.__type_params__: + raise TypeError("Only generic type aliases are subscriptable") + if not isinstance(parameters, tuple): + parameters = (parameters,) + # Using 3.9 here will create problems with Concatenate + if sys.version_info >= (3, 10): + return _types.GenericAlias(self, parameters) + type_vars = _collect_type_vars(parameters) + parameters = self._check_parameters(parameters) + alias = _TypeAliasGenericAlias(self, parameters) + # alias.__parameters__ is not complete if Concatenate is present + # as it is converted to a list from which no parameters are extracted. + if alias.__parameters__ != type_vars: + alias.__parameters__ = type_vars + return alias + + def __reduce__(self): + return self.__name__ + + def __init_subclass__(cls, *args, **kwargs): + raise TypeError( + "type 'typing_extensions.TypeAliasType' is not an acceptable base type" + ) + + # The presence of this method convinces typing._type_check + # that TypeAliasTypes are types. + def __call__(self): + raise TypeError("Type alias is not callable") + + # Breakpoint: https://github.com/python/cpython/pull/21515 + if sys.version_info >= (3, 10): + def __or__(self, right): + # For forward compatibility with 3.12, reject Unions + # that are not accepted by the built-in Union. + if not _is_unionable(right): + return NotImplemented + return typing.Union[self, right] + + def __ror__(self, left): + if not _is_unionable(left): + return NotImplemented + return typing.Union[left, self] + + +if hasattr(typing, "is_protocol"): + is_protocol = typing.is_protocol + get_protocol_members = typing.get_protocol_members +else: + def is_protocol(tp: type, /) -> bool: + """Return True if the given type is a Protocol. + + Example:: + + >>> from typing_extensions import Protocol, is_protocol + >>> class P(Protocol): + ... def a(self) -> str: ... + ... b: int + >>> is_protocol(P) + True + >>> is_protocol(int) + False + """ + return ( + isinstance(tp, type) + and getattr(tp, '_is_protocol', False) + and tp is not Protocol + and tp is not typing.Protocol + ) + + def get_protocol_members(tp: type, /) -> typing.FrozenSet[str]: + """Return the set of members defined in a Protocol. + + Example:: + + >>> from typing_extensions import Protocol, get_protocol_members + >>> class P(Protocol): + ... def a(self) -> str: ... + ... b: int + >>> get_protocol_members(P) + frozenset({'a', 'b'}) + + Raise a TypeError for arguments that are not Protocols. + """ + if not is_protocol(tp): + raise TypeError(f'{tp!r} is not a Protocol') + if hasattr(tp, '__protocol_attrs__'): + return frozenset(tp.__protocol_attrs__) + return frozenset(_get_protocol_attrs(tp)) + + +if hasattr(typing, "Doc"): + Doc = typing.Doc +else: + class Doc: + """Define the documentation of a type annotation using ``Annotated``, to be + used in class attributes, function and method parameters, return values, + and variables. + + The value should be a positional-only string literal to allow static tools + like editors and documentation generators to use it. + + This complements docstrings. + + The string value passed is available in the attribute ``documentation``. + + Example:: + + >>> from typing_extensions import Annotated, Doc + >>> def hi(to: Annotated[str, Doc("Who to say hi to")]) -> None: ... + """ + def __init__(self, documentation: str, /) -> None: + self.documentation = documentation + + def __repr__(self) -> str: + return f"Doc({self.documentation!r})" + + def __hash__(self) -> int: + return hash(self.documentation) + + def __eq__(self, other: object) -> bool: + if not isinstance(other, Doc): + return NotImplemented + return self.documentation == other.documentation + + +_CapsuleType = getattr(_types, "CapsuleType", None) + +if _CapsuleType is None: + try: + import _socket + except ImportError: + pass + else: + _CAPI = getattr(_socket, "CAPI", None) + if _CAPI is not None: + _CapsuleType = type(_CAPI) + +if _CapsuleType is not None: + CapsuleType = _CapsuleType + __all__.append("CapsuleType") + + +if sys.version_info >= (3, 14): + from annotationlib import Format, get_annotations +else: + # Available since Python 3.14.0a3 + # PR: https://github.com/python/cpython/pull/124415 + class Format(enum.IntEnum): + VALUE = 1 + VALUE_WITH_FAKE_GLOBALS = 2 + FORWARDREF = 3 + STRING = 4 + + # Available since Python 3.14.0a1 + # PR: https://github.com/python/cpython/pull/119891 + def get_annotations(obj, *, globals=None, locals=None, eval_str=False, + format=Format.VALUE): + """Compute the annotations dict for an object. + + obj may be a callable, class, or module. + Passing in an object of any other type raises TypeError. + + Returns a dict. get_annotations() returns a new dict every time + it's called; calling it twice on the same object will return two + different but equivalent dicts. + + This is a backport of `inspect.get_annotations`, which has been + in the standard library since Python 3.10. See the standard library + documentation for more: + + https://docs.python.org/3/library/inspect.html#inspect.get_annotations + + This backport adds the *format* argument introduced by PEP 649. The + three formats supported are: + * VALUE: the annotations are returned as-is. This is the default and + it is compatible with the behavior on previous Python versions. + * FORWARDREF: return annotations as-is if possible, but replace any + undefined names with ForwardRef objects. The implementation proposed by + PEP 649 relies on language changes that cannot be backported; the + typing-extensions implementation simply returns the same result as VALUE. + * STRING: return annotations as strings, in a format close to the original + source. Again, this behavior cannot be replicated directly in a backport. + As an approximation, typing-extensions retrieves the annotations under + VALUE semantics and then stringifies them. + + The purpose of this backport is to allow users who would like to use + FORWARDREF or STRING semantics once PEP 649 is implemented, but who also + want to support earlier Python versions, to simply write: + + typing_extensions.get_annotations(obj, format=Format.FORWARDREF) + + """ + format = Format(format) + if format is Format.VALUE_WITH_FAKE_GLOBALS: + raise ValueError( + "The VALUE_WITH_FAKE_GLOBALS format is for internal use only" + ) + + if eval_str and format is not Format.VALUE: + raise ValueError("eval_str=True is only supported with format=Format.VALUE") + + if isinstance(obj, type): + # class + obj_dict = getattr(obj, '__dict__', None) + if obj_dict and hasattr(obj_dict, 'get'): + ann = obj_dict.get('__annotations__', None) + if isinstance(ann, _types.GetSetDescriptorType): + ann = None + else: + ann = None + + obj_globals = None + module_name = getattr(obj, '__module__', None) + if module_name: + module = sys.modules.get(module_name, None) + if module: + obj_globals = getattr(module, '__dict__', None) + obj_locals = dict(vars(obj)) + unwrap = obj + elif isinstance(obj, _types.ModuleType): + # module + ann = getattr(obj, '__annotations__', None) + obj_globals = obj.__dict__ + obj_locals = None + unwrap = None + elif callable(obj): + # this includes types.Function, types.BuiltinFunctionType, + # types.BuiltinMethodType, functools.partial, functools.singledispatch, + # "class funclike" from Lib/test/test_inspect... on and on it goes. + ann = getattr(obj, '__annotations__', None) + obj_globals = getattr(obj, '__globals__', None) + obj_locals = None + unwrap = obj + elif hasattr(obj, '__annotations__'): + ann = obj.__annotations__ + obj_globals = obj_locals = unwrap = None + else: + raise TypeError(f"{obj!r} is not a module, class, or callable.") + + if ann is None: + return {} + + if not isinstance(ann, dict): + raise ValueError(f"{obj!r}.__annotations__ is neither a dict nor None") + + if not ann: + return {} + + if not eval_str: + if format is Format.STRING: + return { + key: value if isinstance(value, str) else typing._type_repr(value) + for key, value in ann.items() + } + return dict(ann) + + if unwrap is not None: + while True: + if hasattr(unwrap, '__wrapped__'): + unwrap = unwrap.__wrapped__ + continue + if isinstance(unwrap, functools.partial): + unwrap = unwrap.func + continue + break + if hasattr(unwrap, "__globals__"): + obj_globals = unwrap.__globals__ + + if globals is None: + globals = obj_globals + if locals is None: + locals = obj_locals or {} + + # "Inject" type parameters into the local namespace + # (unless they are shadowed by assignments *in* the local namespace), + # as a way of emulating annotation scopes when calling `eval()` + if type_params := getattr(obj, "__type_params__", ()): + locals = {param.__name__: param for param in type_params} | locals + + return_value = {key: + value if not isinstance(value, str) else eval(value, globals, locals) + for key, value in ann.items() } + return return_value + + +if hasattr(typing, "evaluate_forward_ref"): + evaluate_forward_ref = typing.evaluate_forward_ref +else: + # Implements annotationlib.ForwardRef.evaluate + def _eval_with_owner( + forward_ref, *, owner=None, globals=None, locals=None, type_params=None + ): + if forward_ref.__forward_evaluated__: + return forward_ref.__forward_value__ + if getattr(forward_ref, "__cell__", None) is not None: + try: + value = forward_ref.__cell__.cell_contents + except ValueError: + pass + else: + forward_ref.__forward_evaluated__ = True + forward_ref.__forward_value__ = value + return value + if owner is None: + owner = getattr(forward_ref, "__owner__", None) + + if ( + globals is None + and getattr(forward_ref, "__forward_module__", None) is not None + ): + globals = getattr( + sys.modules.get(forward_ref.__forward_module__, None), "__dict__", None + ) + if globals is None: + globals = getattr(forward_ref, "__globals__", None) + if globals is None: + if isinstance(owner, type): + module_name = getattr(owner, "__module__", None) + if module_name: + module = sys.modules.get(module_name, None) + if module: + globals = getattr(module, "__dict__", None) + elif isinstance(owner, _types.ModuleType): + globals = getattr(owner, "__dict__", None) + elif callable(owner): + globals = getattr(owner, "__globals__", None) + + # If we pass None to eval() below, the globals of this module are used. + if globals is None: + globals = {} + + if locals is None: + locals = {} + if isinstance(owner, type): + locals.update(vars(owner)) + + if type_params is None and owner is not None: + # "Inject" type parameters into the local namespace + # (unless they are shadowed by assignments *in* the local namespace), + # as a way of emulating annotation scopes when calling `eval()` + type_params = getattr(owner, "__type_params__", None) + + # Type parameters exist in their own scope, which is logically + # between the locals and the globals. We simulate this by adding + # them to the globals. + if type_params is not None: + globals = dict(globals) + for param in type_params: + globals[param.__name__] = param + + arg = forward_ref.__forward_arg__ + if arg.isidentifier() and not keyword.iskeyword(arg): + if arg in locals: + value = locals[arg] + elif arg in globals: + value = globals[arg] + elif hasattr(builtins, arg): + return getattr(builtins, arg) + else: + raise NameError(arg) + else: + code = forward_ref.__forward_code__ + value = eval(code, globals, locals) + forward_ref.__forward_evaluated__ = True + forward_ref.__forward_value__ = value + return value + + def evaluate_forward_ref( + forward_ref, + *, + owner=None, + globals=None, + locals=None, + type_params=None, + format=None, + _recursive_guard=frozenset(), + ): + """Evaluate a forward reference as a type hint. + + This is similar to calling the ForwardRef.evaluate() method, + but unlike that method, evaluate_forward_ref() also: + + * Recursively evaluates forward references nested within the type hint. + * Rejects certain objects that are not valid type hints. + * Replaces type hints that evaluate to None with types.NoneType. + * Supports the *FORWARDREF* and *STRING* formats. + + *forward_ref* must be an instance of ForwardRef. *owner*, if given, + should be the object that holds the annotations that the forward reference + derived from, such as a module, class object, or function. It is used to + infer the namespaces to use for looking up names. *globals* and *locals* + can also be explicitly given to provide the global and local namespaces. + *type_params* is a tuple of type parameters that are in scope when + evaluating the forward reference. This parameter must be provided (though + it may be an empty tuple) if *owner* is not given and the forward reference + does not already have an owner set. *format* specifies the format of the + annotation and is a member of the annotationlib.Format enum. + + """ + if format == Format.STRING: + return forward_ref.__forward_arg__ + if forward_ref.__forward_arg__ in _recursive_guard: + return forward_ref + + # Evaluate the forward reference + try: + value = _eval_with_owner( + forward_ref, + owner=owner, + globals=globals, + locals=locals, + type_params=type_params, + ) + except NameError: + if format == Format.FORWARDREF: + return forward_ref + else: + raise + + if isinstance(value, str): + value = ForwardRef(value) + + # Recursively evaluate the type + if isinstance(value, ForwardRef): + if getattr(value, "__forward_module__", True) is not None: + globals = None + return evaluate_forward_ref( + value, + globals=globals, + locals=locals, + type_params=type_params, owner=owner, + _recursive_guard=_recursive_guard, format=format + ) + if sys.version_info < (3, 12, 5) and type_params: + # Make use of type_params + locals = dict(locals) if locals else {} + for tvar in type_params: + if tvar.__name__ not in locals: # lets not overwrite something present + locals[tvar.__name__] = tvar + if sys.version_info < (3, 12, 5): + return typing._eval_type( + value, + globals, + locals, + recursive_guard=_recursive_guard | {forward_ref.__forward_arg__}, + ) + else: + return typing._eval_type( + value, + globals, + locals, + type_params, + recursive_guard=_recursive_guard | {forward_ref.__forward_arg__}, + ) + + +class Sentinel: + """Create a unique sentinel object. + + *name* should be the name of the variable to which the return value shall be assigned. + + *repr*, if supplied, will be used for the repr of the sentinel object. + If not provided, "" will be used. + """ + + def __init__( + self, + name: str, + repr: typing.Optional[str] = None, + ): + self._name = name + self._repr = repr if repr is not None else f'<{name}>' + + def __repr__(self): + return self._repr + + if sys.version_info < (3, 11): + # The presence of this method convinces typing._type_check + # that Sentinels are types. + def __call__(self, *args, **kwargs): + raise TypeError(f"{type(self).__name__!r} object is not callable") + + # Breakpoint: https://github.com/python/cpython/pull/21515 + if sys.version_info >= (3, 10): + def __or__(self, other): + return typing.Union[self, other] + + def __ror__(self, other): + return typing.Union[other, self] + + def __getstate__(self): + raise TypeError(f"Cannot pickle {type(self).__name__!r} object") + + +if sys.version_info >= (3, 14, 0, "beta"): + type_repr = annotationlib.type_repr +else: + def type_repr(value): + """Convert a Python value to a format suitable for use with the STRING format. + + This is intended as a helper for tools that support the STRING format but do + not have access to the code that originally produced the annotations. It uses + repr() for most objects. + + """ + if isinstance(value, (type, _types.FunctionType, _types.BuiltinFunctionType)): + if value.__module__ == "builtins": + return value.__qualname__ + return f"{value.__module__}.{value.__qualname__}" + if value is ...: + return "..." + return repr(value) + + +# Aliases for items that are in typing in all supported versions. +# We use hasattr() checks so this library will continue to import on +# future versions of Python that may remove these names. +_typing_names = [ + "AbstractSet", + "AnyStr", + "BinaryIO", + "Callable", + "Collection", + "Container", + "Dict", + "FrozenSet", + "Hashable", + "IO", + "ItemsView", + "Iterable", + "Iterator", + "KeysView", + "List", + "Mapping", + "MappingView", + "Match", + "MutableMapping", + "MutableSequence", + "MutableSet", + "Optional", + "Pattern", + "Reversible", + "Sequence", + "Set", + "Sized", + "TextIO", + "Tuple", + "Union", + "ValuesView", + "cast", + "no_type_check", + "no_type_check_decorator", + # This is private, but it was defined by typing_extensions for a long time + # and some users rely on it. + "_AnnotatedAlias", +] +globals().update( + {name: getattr(typing, name) for name in _typing_names if hasattr(typing, name)} +) +# These are defined unconditionally because they are used in +# typing-extensions itself. +Generic = typing.Generic +ForwardRef = typing.ForwardRef +Annotated = typing.Annotated

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